diff --git a/.github/utilities/run_examples.sh b/.github/utilities/run_examples.sh old mode 100755 new mode 100644 index 12532d87..eb923381 --- a/.github/utilities/run_examples.sh +++ b/.github/utilities/run_examples.sh @@ -7,7 +7,6 @@ CMD="jupyter nbconvert --to notebook --inplace --execute --ExecutePreprocessor.t excluded=( "tsml_eval/publications/y2023/distance_based_clustering/package_distance_timing.ipynb" - "examples/regression_experiments.ipynb" ) if [ "$1" = true ]; then excluded+=() diff --git a/.github/workflows/issue_comment_edited.yml b/.github/workflows/issue_comment_edited.yml index 4cd61d3d..ad43d332 100644 --- a/.github/workflows/issue_comment_edited.yml +++ b/.github/workflows/issue_comment_edited.yml @@ -11,7 +11,7 @@ concurrency: jobs: pr-welcome-edited: if: ${{ github.event.issue.pull_request }} - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/create-github-app-token@v1 diff --git a/.github/workflows/issue_comment_posted.yml b/.github/workflows/issue_comment_posted.yml index 7403b961..799d0c13 100644 --- a/.github/workflows/issue_comment_posted.yml +++ b/.github/workflows/issue_comment_posted.yml @@ -6,7 +6,7 @@ on: jobs: self-assign: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/periodic_github_maintenace.yml b/.github/workflows/periodic_github_maintenace.yml index 4eac3146..999bdf6a 100644 --- a/.github/workflows/periodic_github_maintenace.yml +++ b/.github/workflows/periodic_github_maintenace.yml @@ -6,13 +6,17 @@ on: - cron: "0 1 1,15 * *" workflow_dispatch: -permissions: - issues: write - contents: write +concurrency: + group: ${{ github.workflow }} + cancel-in-progress: true jobs: stale_branches: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 + + permissions: + issues: write + contents: write steps: - uses: actions/create-github-app-token@v1 @@ -32,3 +36,58 @@ jobs: stale-branch-label: "stale branch" compare-branches: "info" pr-check: true + + pre-commit-auto-update: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.10" + + - uses: browniebroke/pre-commit-autoupdate-action@v1.0.0 + + - if: always() + uses: actions/create-github-app-token@v1 + id: app-token + with: + app-id: ${{ vars.PR_APP_ID }} + private-key: ${{ secrets.PR_APP_KEY }} + + - if: always() + uses: peter-evans/create-pull-request@v7 + with: + token: ${{ steps.app-token.outputs.token }} + commit-message: "Automated `pre-commit` hook update" + branch: pre-commit-hooks-update + title: "[MNT] Automated `pre-commit` hook update" + body: "Automated weekly update to `.pre-commit-config.yaml` hook versions." + labels: maintenance, full pre-commit + + github-security-scorecard: + runs-on: ubuntu-24.04 + + permissions: + security-events: write + id-token: write + + steps: + - uses: actions/checkout@v4 + + - uses: ossf/scorecard-action@v2.4.0 + with: + results_file: results.sarif + results_format: sarif + publish_results: true + + - uses: actions/upload-artifact@v4 + with: + name: SARIF file + path: results.sarif + retention-days: 5 + + - uses: github/codeql-action/upload-sarif@v3 + with: + sarif_file: results.sarif diff --git a/.github/workflows/periodic_tests.yml b/.github/workflows/periodic_tests.yml index 2c409c56..1098fbb6 100644 --- a/.github/workflows/periodic_tests.yml +++ b/.github/workflows/periodic_tests.yml @@ -12,7 +12,7 @@ concurrency: jobs: check-manifest: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -26,7 +26,7 @@ jobs: extra_args: check-manifest --hook-stage manual pre-commit: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -65,7 +65,7 @@ jobs: run: mypy tsml_eval/ run-notebook-examples: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -99,13 +99,74 @@ jobs: path: ${{ github.workspace }}/.numba_cache key: numba-run-notebook-examples-${{ runner.os }}-3.10-${{ env.CURRENT_DATE }} + test-no-soft-deps: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.10" + + - name: Use numba cache to set env variables but not restore cache + uses: ./.github/actions/numba_cache + with: + cache_name: "test-no-soft-deps" + runner_os: ${{ runner.os }} + python_version: "3.10" + restore_cache: "false" + + - name: Install + uses: nick-fields/retry@v3 + with: + timeout_minutes: 30 + max_attempts: 3 + command: python -m pip install .[dev] + + - name: Show dependencies + run: python -m pip list + + - name: Run tests + run: python -m pytest -n logical + + - name: Save new cache + uses: actions/cache/save@v4 + with: + path: ${{ github.workspace }}/.numba_cache + # Save cache with the current date (ENV set in numba_cache action) + key: numba-test-no-soft-deps-${{ runner.os }}-3.10-${{ env.CURRENT_DATE }} + + test-core-imports: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.10" + + - name: Install + uses: nick-fields/retry@v3 + with: + timeout_minutes: 30 + max_attempts: 3 + command: python -m pip install . + + - name: Show dependencies + run: python -m pip list + + - name: Run import test + run: python tsml_eval/testing/tests/test_core_imports.py + pytest: runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: - os: [ ubuntu-20.04, macos-14, windows-2022 ] + os: [ ubuntu-24.04, macos-14, windows-2022 ] python-version: [ "3.9", "3.10", "3.11", "3.12" ] steps: @@ -143,7 +204,7 @@ jobs: key: numba-pytest-${{ runner.os }}-${{ matrix.python-version}}-${{ env.CURRENT_DATE }} codecov: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -168,6 +229,6 @@ jobs: - name: Run tests run: python -m pytest -n logical --cov=aeon --cov-report=xml --timeout 1800 - - uses: codecov/codecov-action@v4 + - uses: codecov/codecov-action@v5 env: CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/pr_examples.yml b/.github/workflows/pr_examples.yml index 768bc554..62a1f3b1 100644 --- a/.github/workflows/pr_examples.yml +++ b/.github/workflows/pr_examples.yml @@ -19,7 +19,7 @@ concurrency: jobs: run-notebook-examples: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/pr_opened.yml b/.github/workflows/pr_opened.yml index 23413ea9..34e32bf0 100644 --- a/.github/workflows/pr_opened.yml +++ b/.github/workflows/pr_opened.yml @@ -12,7 +12,7 @@ permissions: jobs: # based on the scikit-learn 1.3.1 PR labelers labeler: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 diff --git a/.github/workflows/pr_precommit.yml b/.github/workflows/pr_precommit.yml index 2e1e98c8..b330e01b 100644 --- a/.github/workflows/pr_precommit.yml +++ b/.github/workflows/pr_precommit.yml @@ -14,7 +14,7 @@ concurrency: jobs: pre-commit: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/create-github-app-token@v1 diff --git a/.github/workflows/pr_pytest.yml b/.github/workflows/pr_pytest.yml index 10cad079..ac7b847b 100644 --- a/.github/workflows/pr_pytest.yml +++ b/.github/workflows/pr_pytest.yml @@ -17,13 +17,66 @@ concurrency: cancel-in-progress: true jobs: + test-no-soft-deps: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.10" + + - name: Restore numba cache + uses: ./.github/actions/numba_cache + with: + cache_name: "test-no-soft-deps" + runner_os: ${{ runner.os }} + python_version: "3.10" + + - name: Install + uses: nick-fields/retry@v3 + with: + timeout_minutes: 30 + max_attempts: 3 + command: python -m pip install .[dev] + + - name: Show dependencies + run: python -m pip list + + - name: Run tests + run: python -m pytest -n logical + + test-core-imports: + runs-on: ubuntu-24.04 + + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v5 + with: + python-version: "3.10" + + - name: Install + uses: nick-fields/retry@v3 + with: + timeout_minutes: 30 + max_attempts: 3 + command: python -m pip install . + + - name: Show dependencies + run: python -m pip list + + - name: Run import test + run: python tsml_eval/testing/tests/test_core_imports.py + pytest: runs-on: ${{ matrix.os }} strategy: fail-fast: false matrix: - os: [ ubuntu-20.04, windows-2022 ] + os: [ ubuntu-24.04, windows-2022 ] python-version: [ "3.9", "3.10", "3.11", "3.12" ] # skip python versions unless the PR has the 'full pytest actions' label pr-testing: @@ -60,7 +113,7 @@ jobs: run: python -m pytest -n logical codecov: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -82,6 +135,6 @@ jobs: - name: Tests run: python -m pytest -n logical --cov=tsml_eval --cov-report=xml --timeout 1800 - - uses: codecov/codecov-action@v4 + - uses: codecov/codecov-action@v5 env: CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/pr_typecheck.yml b/.github/workflows/pr_typecheck.yml index c38f5e22..2dc40af4 100644 --- a/.github/workflows/pr_typecheck.yml +++ b/.github/workflows/pr_typecheck.yml @@ -9,6 +9,7 @@ on: - main paths: - "tsml_eval/**" + - "pyproject.toml" concurrency: group: ${{ github.workflow }}-${{ github.head_ref || github.ref }} diff --git a/.github/workflows/precommit_autoupdate.yml b/.github/workflows/precommit_autoupdate.yml deleted file mode 100644 index b5c26cc8..00000000 --- a/.github/workflows/precommit_autoupdate.yml +++ /dev/null @@ -1,37 +0,0 @@ -name: Update pre-commit Hooks - -on: - schedule: - # every Monday at 12:30 AM UTC - - cron: "30 0 * * 1" - workflow_dispatch: - -jobs: - pre-commit-auto-update: - runs-on: ubuntu-20.04 - - steps: - - uses: actions/checkout@v4 - - - uses: actions/setup-python@v5 - with: - python-version: "3.10" - - - uses: browniebroke/pre-commit-autoupdate-action@v1.0.0 - - - if: always() - uses: actions/create-github-app-token@v1 - id: app-token - with: - app-id: ${{ vars.PR_APP_ID }} - private-key: ${{ secrets.PR_APP_KEY }} - - - if: always() - uses: peter-evans/create-pull-request@v7 - with: - token: ${{ steps.app-token.outputs.token }} - commit-message: "Automated `pre-commit` hook update" - branch: pre-commit-hooks-update - title: "[MNT] Automated `pre-commit` hook update" - body: "Automated weekly update to `.pre-commit-config.yaml` hook versions." - labels: maintenance, full pre-commit diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 88f2c8d2..2d3b3ea4 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -8,7 +8,7 @@ on: jobs: check-manifest: - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -23,7 +23,7 @@ jobs: build-project: needs: check-manifest - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/checkout@v4 @@ -51,7 +51,7 @@ jobs: strategy: matrix: - os: [ ubuntu-20.04, macos-14, windows-2022 ] + os: [ ubuntu-24.04, macos-14, windows-2022 ] python-version: [ "3.9", "3.10", "3.11", "3.12" ] steps: @@ -93,7 +93,7 @@ jobs: upload-wheels: needs: test-wheels - runs-on: ubuntu-20.04 + runs-on: ubuntu-24.04 steps: - uses: actions/download-artifact@v4 diff --git a/.github/workflows/scorecard.yml b/.github/workflows/scorecard.yml deleted file mode 100644 index 0f992251..00000000 --- a/.github/workflows/scorecard.yml +++ /dev/null @@ -1,42 +0,0 @@ -name: Scorecard supply-chain security - -on: - branch_protection_rule: - schedule: - - cron: '30 1 * * 6' - push: - branches: - - main - -permissions: read-all - -jobs: - analysis: - name: Scorecard analysis - runs-on: ubuntu-latest - permissions: - # Needed to upload the results to code-scanning dashboard. - security-events: write - # Needed to publish results and get a badge (see publish_results below). - id-token: write - - steps: - - uses: actions/checkout@v4 - with: - persist-credentials: false - - - uses: ossf/scorecard-action@v2.4.0 - with: - results_file: results.sarif - results_format: sarif - publish_results: true - - - uses: actions/upload-artifact@v4 - with: - name: SARIF file - path: results.sarif - retention-days: 5 - - - uses: github/codeql-action/upload-sarif@v3 - with: - sarif_file: results.sarif diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index cc9e9679..b591cb63 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -29,13 +29,13 @@ repos: args: [ "--create", "--python-folders", "tsml_eval" ] - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.6.9 + rev: v0.9.1 hooks: - id: ruff args: [ "--fix"] - repo: https://github.com/asottile/pyupgrade - rev: v3.18.0 + rev: v3.19.1 hooks: - id: pyupgrade args: [ "--py39-plus" ] @@ -53,7 +53,7 @@ repos: hooks: - id: flake8 additional_dependencies: [ flake8-bugbear, flake8-print, Flake8-pyproject ] - args: [ "--max-line-length=88" ] + args: [ "--max-line-length=88", "--extend-ignore=E203" ] - repo: https://github.com/psf/black rev: 24.10.0 @@ -63,7 +63,7 @@ repos: exclude: "tsml_eval/_wip/" - repo: https://github.com/nbQA-dev/nbQA - rev: 1.8.7 + rev: 1.9.1 hooks: - id: nbqa-isort additional_dependencies: [ isort ] diff --git a/_tsml_research_resources/soton/iridis/classification_experiments.sh b/_tsml_research_resources/soton/iridis/classification_experiments.sh index 2d7c77b2..e5e6c7f4 100644 --- a/_tsml_research_resources/soton/iridis/classification_experiments.sh +++ b/_tsml_research_resources/soton/iridis/classification_experiments.sh @@ -6,26 +6,26 @@ # While reading is fine, please dont write anything to the default directories in this script # Start and end for resamples -max_folds=30 +max_folds=10 start_fold=1 # To avoid dumping 1000s of jobs in the queue we have a higher level queue max_num_submitted=100 # Queue options are https://sotonac.sharepoint.com/teams/HPCCommunityWiki/SitePages/Iridis%205%20Job-submission-and-Limits-Quotas.aspx -queue="batch" +queue="amd" # The partition name may not always be the same as the queue name, i.e. batch is the queue, serial is the partition # This is used for the script job limit queue queue_alias=$queue # Enter your username and email here -username="ajb2u23" +username="cq2u24" mail="NONE" mailto="$username@soton.ac.uk" # MB for jobs, increase incrementally and try not to use more than you need. If you need hundreds of GB consider the huge memory queue -max_memory=8000 +max_memory=32000 # Max allowable is 60 hours max_time="60:00:00" @@ -34,14 +34,14 @@ max_time="60:00:00" start_point=1 # Put your home directory here -local_path="/mainfs/home/$username/" - +local_path="/home/$username/" +data_path="/scratch/$username/" # Datasets to use and directory of data files. Default is Tony's work space, all should be able to read these. Change if you want to use different data or lists -data_dir="$local_path/Data/" -datasets="$local_path/DataSetLists/Classification.txt" +data_dir="$data_path/Data/imbalanced_data/imbalanced_data9_1/" +datasets="$data_path/DataSetLists/classification9_1.txt" # Results and output file write location. Change these to reflect your own file structure -results_dir="$local_path/ClassificationResults/results/" +results_dir="$local_path/Classifi[Cry]cationResults/results/" out_dir="$local_path/ClassificationResults/output/" # The python script we are running @@ -52,13 +52,20 @@ script_file_path="$local_path/tsml-eval/tsml_eval/experiments/classification_exp env_name="tsml-eval" # Classifiers to loop over. Must be seperated by a space -# See list of potential classifiers in set_classifier -classifiers_to_run="ROCKET DrCIF" +# See list of potential classifiers in set_classifier hc2, dummy, multirockethydra +classifiers_to_run="hc2" # You can add extra arguments here. See tsml_eval/utils/arguments.py parse_args # You will have to add any variable to the python call close to the bottom of the script # and possibly to the options handling below +# Set to the oversampling methods you want to test \smote \adasyn +toms="" +results_dir="${results_dir}${toms}/" +results_dir=$(echo "$results_dir" | sed 's#//*#/#g') +out_dir="${out_dir}${toms}/" +out_dir=$(echo "$out_dir" | sed 's#//*#/#g') + # generate a results file for the train data as well as test, usually slower generate_train_files="false" @@ -84,6 +91,9 @@ predefined_folds=$([ "${predefined_folds,,}" == "true" ] && echo "-pr" || echo " # Set to -rn to normalise data normalise_data=$([ "${normalise_data,,}" == "true" ] && echo "-rn" || echo "") +# Set to --test_oversampling_methods to specify the oversampling method +test_oversampling_methods=$([ -n "${toms}" ] && echo "--test_oversampling_methods ${toms}" || echo "") + count=0 while read dataset; do for classifier in $classifiers_to_run; do @@ -133,12 +143,13 @@ echo "#!/bin/bash . /etc/profile -module load anaconda/py3.10 +module load conda source activate $env_name +export PYTHONPATH="$local_path/tsml-eval:$PYTHONPATH" # Input args to the default classification_experiments are in main method of # https://github.com/time-series-machine-learning/tsml-eval/blob/main/tsml_eval/experiments/classification_experiments.py -python -u ${script_file_path} ${data_dir} ${results_dir} ${classifier} ${dataset} \$((\$SLURM_ARRAY_TASK_ID - 1)) ${generate_train_files} ${predefined_folds} ${normalise_data}" > generatedFile.sub +python -u ${script_file_path} ${data_dir} ${results_dir} ${classifier} ${dataset} \$((\$SLURM_ARRAY_TASK_ID - 1)) ${generate_train_files} ${predefined_folds} ${normalise_data} ${test_oversampling_methods}" > generatedFile.sub echo "${count} ${classifier}/${dataset}" diff --git a/_tsml_research_resources/soton/iridis/gpu_classification_experiments.sh b/_tsml_research_resources/soton/iridis/gpu_classification_experiments.sh index 963cb9f1..cb4c64ef 100644 --- a/_tsml_research_resources/soton/iridis/gpu_classification_experiments.sh +++ b/_tsml_research_resources/soton/iridis/gpu_classification_experiments.sh @@ -20,7 +20,7 @@ queue="gpu" queue_alias=$queue # Enter your username and email here -username="ajb2u23" +username="cq2u24" mail="NONE" mailto="$username@soton.ac.uk" @@ -34,14 +34,14 @@ max_time="60:00:00" start_point=1 # Put your home directory here -local_path="/mainfs/home/$username/" - +local_path="/home/$username/" +data_path="/scratch/$username/" # Datasets to use and directory of data files. Default is Tony's work space, all should be able to read these. Change if you want to use different data or lists -data_dir="$local_path/Data/" -datasets="$local_path/DataSetLists/Classification.txt" +data_dir="$data_path/Data/imbalanced_data/imbalanced_data9_1/" +datasets="$data_path/DataSetLists/classification9_1.txt" # Results and output file write location. Change these to reflect your own file structure -results_dir="$local_path/ClassificationResults/results/" +results_dir="$local_path/Classifi[Cry]cationResults/results/" out_dir="$local_path/ClassificationResults/output/" # The python script we are running @@ -53,12 +53,19 @@ env_name="tsml-eval-gpu" # Classifiers to loop over. Must be seperated by a space # See list of potential classifiers in set_classifier -classifiers_to_run="CNNClassifier FCNClassifier" +classifiers_to_run="H-InceptionTime" # You can add extra arguments here. See tsml_eval/utils/arguments.py parse_args # You will have to add any variable to the python call close to the bottom of the script # and possibly to the options handling below +# Set to the oversampling methods you want to test \smote \adasyn +toms="" +results_dir="${results_dir}${toms}/" +results_dir=$(echo "$results_dir" | sed 's#//*#/#g') +out_dir="${out_dir}${toms}/" +out_dir=$(echo "$out_dir" | sed 's#//*#/#g') + # generate a results file for the train data as well as test, usually slower generate_train_files="false" @@ -68,6 +75,7 @@ predefined_folds="false" # Normalise data before fit/predict normalise_data="false" + # ====================================================================================== # ====================================================================================== # Dont change anything under here (unless you want to change how the experiment @@ -84,6 +92,9 @@ predefined_folds=$([ "${predefined_folds,,}" == "true" ] && echo "-pr" || echo " # Set to -rn to normalise data normalise_data=$([ "${normalise_data,,}" == "true" ] && echo "-rn" || echo "") +# Set to --test_oversampling_methods to specify the oversampling method +test_oversampling_methods=$([ -n "${toms}" ] && echo "--test_oversampling_methods ${toms}" || echo "") + count=0 while read dataset; do for classifier in $classifiers_to_run; do @@ -139,7 +150,7 @@ source activate $env_name # Input args to the default classification_experiments are in main method of # https://github.com/time-series-machine-learning/tsml-eval/blob/main/tsml_eval/experiments/classification_experiments.py -python -u ${script_file_path} ${data_dir} ${results_dir} ${classifier} ${dataset} \$((\$SLURM_ARRAY_TASK_ID - 1)) ${generate_train_files} ${predefined_folds} ${normalise_data}" > generatedFile.sub +python -u ${script_file_path} ${data_dir} ${results_dir} ${classifier} ${dataset} \$((\$SLURM_ARRAY_TASK_ID - 1)) ${generate_train_files} ${predefined_folds} ${normalise_data} ${test_oversampling_methods}" > generatedFile.sub echo "${count} ${classifier}/${dataset}" @@ -153,4 +164,4 @@ fi done done < ${datasets} -echo Finished submitting jobs +echo Finished submitting jobs \ No newline at end of file diff --git a/_tsml_research_resources/soton/iridis/iridis_python.md b/_tsml_research_resources/soton/iridis/iridis_python.md index dd9a8b88..1c37ef74 100644 --- a/_tsml_research_resources/soton/iridis/iridis_python.md +++ b/_tsml_research_resources/soton/iridis/iridis_python.md @@ -1,6 +1,6 @@ -# Iridis Python +# Iridis 5 Python -Installation guide for Python packages on Iridis and useful slurm commands. +Installation guide for Python packages on Iridis 5 and useful slurm commands. The [Iridis wiki](https://sotonac.sharepoint.com/teams/HPCCommunityWiki) provides a lot of useful information and getting started guides for using Iridis. @@ -158,6 +158,10 @@ For CPU experiments start with one of the following scripts: >clustering_experiments.sh +These scrips can be run from the command line with the following command: + +>sh classification_experiments.sh + You may need to use `dos2unix` to convert the line endings to unix format. The default queue for CPU jobs is _batch_. Be sure to swap the _queue_alias_ to _serial_ in the script if you want to use this, as the number of jobs submitted won't be tracked properly otherwise. diff --git a/conftest.py b/conftest.py index 8ae73d9b..03962c27 100644 --- a/conftest.py +++ b/conftest.py @@ -1,7 +1,5 @@ """Main configuration file for pytest.""" -__author__ = ["MatthewMiddlehurst"] - import shutil from tsml_eval.experiments import experiments diff --git a/docs/api.md b/docs/api.md index d69d82fd..68cc1e23 100644 --- a/docs/api.md +++ b/docs/api.md @@ -42,16 +42,11 @@ Functions for evaluating the performance of a model. evaluation.evaluate_regressors evaluation.evaluate_regressors_from_file evaluation.evaluate_regressors_by_problem - evaluation.evaluate_forecasters - evaluation.evaluate_forecasters_from_file - evaluation.evaluate_forecasters_by_problem evaluation.storage.ClassifierResults evaluation.storage.ClustererResults - evaluation.storage.ForecasterResults evaluation.storage.RegressorResults evaluation.storage.load_classifier_results evaluation.storage.load_clusterer_results - evaluation.storage.load_forecaster_results evaluation.storage.load_regressor_results ``` @@ -69,14 +64,12 @@ Functions for running experiments. experiments.load_and_run_classification_experiment experiments.run_clustering_experiment experiments.load_and_run_clustering_experiment - experiments.run_forecasting_experiment - experiments.load_and_run_forecasting_experiment experiments.run_regression_experiment experiments.load_and_run_regression_experiment experiments.get_classifier_by_name experiments.get_clusterer_by_name - experiments.get_forecaster_by_name experiments.get_regressor_by_name + experiments.run_timing_experiment experiments.classification_cross_validation experiments.classification_cross_validation_folds experiments.regression_cross_validation @@ -115,12 +108,16 @@ Public utility functions used elsewhere in the package. utils.resampling.resample_data_indices utils.resampling.stratified_resample_data utils.resampling.stratified_resample_data_indices + utils.results_loading.load_estimator_results + utils.results_loading.estimator_results_to_dict + utils.results_loading.load_estimator_results_to_dict + utils.results_loading.estimator_results_to_array + utils.results_loading.load_estimator_results_to_array utils.results_repair.fix_broken_second_line utils.results_validation.validate_results_file utils.results_validation.compare_result_file_resample utils.results_writing.write_classification_results utils.results_writing.write_regression_results utils.results_writing.write_clustering_results - utils.results_writing.write_forecasting_results utils.results_writing.write_results_to_tsml_format ``` diff --git a/docs/user_guide.md b/docs/user_guide.md index 21b6c38b..19cea5c4 100644 --- a/docs/user_guide.md +++ b/docs/user_guide.md @@ -144,29 +144,6 @@ TSCL ::: -:::{grid-item-card} -:img-top: examples/images/forecasting.png -:class-img-top: tsml-card-image -:text-align: center - -Time Series Forecasting - -^^^ - -Run basic forecasting experiments using `tsml-eval`. - -+++ - -```{button-ref} /examples/forecasting_experiments.ipynb -:color: primary -:click-parent: -:expand: - -Forecasting -``` - -::: - :::: ```{toctree} @@ -178,5 +155,4 @@ Forecasting ./examples/classification_experiments.ipynb ./examples/regression_experiments.ipynb ./examples/clustering_experiments.ipynb -./examples/forecasting_experiments.ipynb ``` diff --git a/examples/classification_experiments.ipynb b/examples/classification_experiments.ipynb index c4f8916c..550607f0 100644 --- a/examples/classification_experiments.ipynb +++ b/examples/classification_experiments.ipynb @@ -18,7 +18,7 @@ "source": [ "import numpy as np\n", "import pandas as pd\n", - "from aeon.benchmarking import get_estimator_results\n", + "from aeon.benchmarking.results_loaders import get_estimator_results\n", "from aeon.classification import DummyClassifier\n", "from aeon.datasets import load_classification\n", "from aeon.visualisation import plot_critical_difference\n", @@ -35,8 +35,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:27.561711Z", - "start_time": "2024-04-25T11:13:25.110267Z" + "end_time": "2024-12-05T22:45:19.997167Z", + "start_time": "2024-12-05T22:45:18.534057Z" } }, "outputs": [], @@ -51,8 +51,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:27.567720Z", - "start_time": "2024-04-25T11:13:27.562709Z" + "end_time": "2024-12-05T22:45:20.103552Z", + "start_time": "2024-12-05T22:45:20.100613Z" } }, "outputs": [], @@ -83,8 +83,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:28.625866Z", - "start_time": "2024-04-25T11:13:27.568693Z" + "end_time": "2024-12-05T22:45:21.063870Z", + "start_time": "2024-12-05T22:45:20.108557Z" } }, "outputs": [], @@ -116,8 +116,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:28.663766Z", - "start_time": "2024-04-25T11:13:28.626864Z" + "end_time": "2024-12-05T22:45:21.076788Z", + "start_time": "2024-12-05T22:45:21.070905Z" } }, "outputs": [ @@ -164,8 +164,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:28.737595Z", - "start_time": "2024-04-25T11:13:28.664765Z" + "end_time": "2024-12-05T22:45:21.367747Z", + "start_time": "2024-12-05T22:45:21.085295Z" } }, "outputs": [ @@ -198,8 +198,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:28.902138Z", - "start_time": "2024-04-25T11:13:28.738565Z" + "end_time": "2024-12-05T22:45:21.473783Z", + "start_time": "2024-12-05T22:45:21.381117Z" } }, "outputs": [ @@ -240,8 +240,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:28.913109Z", - "start_time": "2024-04-25T11:13:28.903135Z" + "end_time": "2024-12-05T22:45:21.482812Z", + "start_time": "2024-12-05T22:45:21.476787Z" } }, "outputs": [ @@ -337,8 +337,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:13:29.044784Z", - "start_time": "2024-04-25T11:13:28.914106Z" + "end_time": "2024-12-05T22:45:21.554943Z", + "start_time": "2024-12-05T22:45:21.513153Z" } }, "outputs": [ @@ -347,7 +347,7 @@ "text/plain": [ "
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" 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" }, "metadata": {}, "output_type": "display_data" diff --git a/examples/clustering_experiments.ipynb b/examples/clustering_experiments.ipynb index 58a062e4..d75ad7b4 100644 --- a/examples/clustering_experiments.ipynb +++ b/examples/clustering_experiments.ipynb @@ -18,16 +18,16 @@ "metadata": { "collapsed": true, "ExecuteTime": { - "end_time": "2024-04-25T11:12:24.583146Z", - "start_time": "2024-04-25T11:12:22.271318Z" + "end_time": "2024-12-05T22:45:23.706541Z", + "start_time": "2024-12-05T22:45:22.433686Z" } }, "source": [ "import numpy as np\n", "import pandas as pd\n", - "from aeon.benchmarking import get_estimator_results\n", + "from aeon.benchmarking.metrics.clustering import clustering_accuracy_score\n", + "from aeon.benchmarking.results_loaders import get_estimator_results\n", "from aeon.datasets import load_classification\n", - "from aeon.performance_metrics.clustering import clustering_accuracy_score\n", "from aeon.visualisation import plot_critical_difference\n", "from sklearn import preprocessing\n", "from tsml.datasets import load_minimal_chinatown\n", @@ -51,8 +51,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:24.589130Z", - "start_time": "2024-04-25T11:12:24.584144Z" + "end_time": "2024-12-05T22:45:23.712661Z", + "start_time": "2024-12-05T22:45:23.709646Z" } }, "outputs": [], @@ -81,8 +81,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.618098Z", - "start_time": "2024-04-25T11:12:24.590129Z" + "end_time": "2024-12-05T22:45:24.726972Z", + "start_time": "2024-12-05T22:45:23.796765Z" } }, "outputs": [], @@ -113,8 +113,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.636028Z", - "start_time": "2024-04-25T11:12:25.620076Z" + "end_time": "2024-12-05T22:45:24.739641Z", + "start_time": "2024-12-05T22:45:24.733123Z" } }, "outputs": [ @@ -122,11 +122,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n", - " 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n", - "0.5\n", - "0.48717948717948717\n", - "0.0\n" + "[0. 0. 1. 1. 0. 0. 1. 1. 1. 0. 1. 1. 1. 1. 1. 0. 1. 0. 1. 1. 0. 1. 0. 0.\n", + " 1. 1. 0. 0. 0. 0. 1. 1. 0. 0. 0. 1. 0. 1. 1. 1.]\n", + "0.65\n", + "0.5333333333333333\n", + "0.0462008291815135\n" ] } ], @@ -163,8 +163,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.700819Z", - "start_time": "2024-04-25T11:12:25.637032Z" + "end_time": "2024-12-05T22:45:24.778422Z", + "start_time": "2024-12-05T22:45:24.744978Z" } }, "outputs": [ @@ -200,8 +200,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.878754Z", - "start_time": "2024-04-25T11:12:25.701817Z" + "end_time": "2024-12-05T22:45:24.840393Z", + "start_time": "2024-12-05T22:45:24.783015Z" } }, "outputs": [ @@ -242,8 +242,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.889693Z", - "start_time": "2024-04-25T11:12:25.879721Z" + "end_time": "2024-12-05T22:45:24.852592Z", + "start_time": "2024-12-05T22:45:24.844889Z" } }, "outputs": [ @@ -339,8 +339,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-04-25T11:12:25.975471Z", - "start_time": "2024-04-25T11:12:25.890691Z" + "end_time": "2024-12-05T22:45:24.910913Z", + "start_time": "2024-12-05T22:45:24.873439Z" } }, "outputs": [ @@ -349,7 +349,7 @@ "text/plain": [ "
" ], - "image/png": 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}, "metadata": {}, "output_type": "display_data" diff --git a/examples/forecasting_experiments.ipynb b/examples/forecasting_experiments.ipynb index 747b76c1..73f1c198 100644 --- a/examples/forecasting_experiments.ipynb +++ b/examples/forecasting_experiments.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "metadata": {}, "cell_type": "markdown", "source": [ "# Time Series Forecasting Experiments\n", @@ -8,117 +9,81 @@ "In this notebook we will show how to run a simple time series forecasting experiment using the `tsml-eval` package. Time series forecasting is the task of predicting future values of a time series.\n", "\n", "\"time" - ], - "metadata": { - "collapsed": false - } + ] }, { + "metadata": {}, "cell_type": "code", + "outputs": [], "execution_count": null, "source": [ - "import numpy as np\n", - "from aeon.datasets import load_airline\n", - "from aeon.forecasting.model_selection import temporal_train_test_split\n", - "\n", - "from tsml_eval.evaluation.storage import load_forecaster_results\n", - "from tsml_eval.experiments import (\n", - " experiments,\n", - " get_forecaster_by_name,\n", - " run_forecasting_experiment,\n", - ")" - ], - "metadata": { - "collapsed": false - }, - "outputs": [] + "# import numpy as np\n", + "# from aeon.datasets import load_airline\n", + "# from aeon.forecasting.model_selection import temporal_train_test_split\n", + "#\n", + "# from tsml_eval.evaluation.storage import load_forecaster_results\n", + "# from tsml_eval.experiments import (\n", + "# experiments,\n", + "# get_forecaster_by_name,\n", + "# run_forecasting_experiment,\n", + "# )" + ] }, { + "metadata": {}, "cell_type": "code", - "execution_count": 2, "outputs": [], + "execution_count": null, "source": [ - "y = load_airline()\n", - "train, test = temporal_train_test_split(y)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-12-21T15:56:01.639286900Z", - "start_time": "2023-12-21T15:56:01.631308700Z" - } - } + "# y = load_airline()\n", + "# train, test = temporal_train_test_split(y)" + ] }, { + "metadata": {}, "cell_type": "code", - "execution_count": 3, "outputs": [], + "execution_count": null, "source": [ - "# set_regressor can be used to find various regressors by string, but\n", - "# any aeon, tsml or sklearn regressor can be used in the experiments function\n", - "forecaster = get_forecaster_by_name(\"NaiveForecaster\")\n", - "\n", - "# record memory usage every 0.1 seconds, just here for notebook speed\n", - "# does not need to be changed for usage\n", - "experiments.MEMRECORD_INTERVAL = 0.1\n", - "\n", - "run_forecasting_experiment(\n", - " np.array(train),\n", - " np.array(test),\n", - " forecaster,\n", - " \"./generated_results/\",\n", - " dataset_name=\"Airline\",\n", - " random_seed=0,\n", - ")" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-12-21T15:56:02.616604100Z", - "start_time": "2023-12-21T15:56:01.642279500Z" - } - } + "# # set_regressor can be used to find various regressors by string, but\n", + "# # any aeon, tsml or sklearn regressor can be used in the experiments function\n", + "# forecaster = get_forecaster_by_name(\"NaiveForecaster\")\n", + "#\n", + "# # record memory usage every 0.1 seconds, just here for notebook speed\n", + "# # does not need to be changed for usage\n", + "# experiments.MEMRECORD_INTERVAL = 0.1\n", + "#\n", + "# run_forecasting_experiment(\n", + "# np.array(train),\n", + "# np.array(test),\n", + "# forecaster,\n", + "# \"./generated_results/\",\n", + "# dataset_name=\"Airline\",\n", + "# random_seed=0,\n", + "# )" + ] }, { + "metadata": {}, "cell_type": "markdown", "source": [ "A function is also available to load the dataset as well as run an experiment, see `load_and_run_forecasting_experiment` in `tsml_eval.experiments`.\n", "\n", "Both experiment functions will output a results file in the `{results_dir}/{forecaster_name}/Predictions/{dataset_name}/` directory. These files can be loaded individually, or used as a collection in the `evaluation` module. See the [evaluation](evaluation.ipynb) notebook for more details." - ], - "metadata": { - "collapsed": false - } + ] }, { + "metadata": {}, "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336.\n", - " 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336. 336.\n", - " 336. 336. 336. 336. 336. 336. 336. 336.]\n", - "0.19886711926999853\n" - ] - } - ], + "outputs": [], + "execution_count": null, "source": [ - "fr = load_forecaster_results(\n", - " \"./generated_results/NaiveForecaster/Predictions/Airline/testResample0.csv\"\n", - ")\n", - "print(fr.predictions)\n", - "print(fr.mean_absolute_percentage_error)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-12-21T15:56:02.624274500Z", - "start_time": "2023-12-21T15:56:02.617293100Z" - } - } + "# fr = load_forecaster_results(\n", + "# \"./generated_results/NaiveForecaster/Predictions/Airline/testResample0.csv\"\n", + "# )\n", + "# print(fr.predictions)\n", + "# print(fr.mean_absolute_percentage_error)" + ] } ], "metadata": { diff --git a/examples/regression_experiments.ipynb b/examples/regression_experiments.ipynb index bfdce523..f5f694c8 100644 --- a/examples/regression_experiments.ipynb +++ b/examples/regression_experiments.ipynb @@ -16,12 +16,16 @@ { "cell_type": "code", "metadata": { - "collapsed": true + "collapsed": true, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:13.988322Z", + "start_time": "2024-12-05T22:45:13.985299Z" + } }, "source": [ "import numpy as np\n", "import pandas as pd\n", - "from aeon.benchmarking import get_estimator_results\n", + "from aeon.benchmarking.results_loaders import get_estimator_results\n", "from aeon.datasets import load_regression\n", "from aeon.regression import DummyRegressor\n", "from aeon.visualisation import plot_critical_difference\n", @@ -36,7 +40,7 @@ ")" ], "outputs": [], - "execution_count": null + "execution_count": 9 }, { "cell_type": "code", @@ -45,10 +49,14 @@ "X_test, y_test = load_minimal_gas_prices(split=\"test\")" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:14.007539Z", + "start_time": "2024-12-05T22:45:14.004467Z" + } }, "outputs": [], - "execution_count": null + "execution_count": 10 }, { "cell_type": "code", @@ -73,10 +81,14 @@ ")" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:14.965698Z", + "start_time": "2024-12-05T22:45:14.009636Z" + } }, "outputs": [], - "execution_count": null + "execution_count": 11 }, { "cell_type": "markdown", @@ -102,10 +114,29 @@ "print(rr.r2_score)" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:14.978971Z", + "start_time": "2024-12-05T22:45:14.974820Z" + } }, - "outputs": [], - "execution_count": null + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179\n", + " -0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179\n", + " -0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179 -0.32689179\n", + " -0.32689179 -0.32689179]\n", + "0.008893058227437198\n", + "0.09430301282269404\n", + "0.36624719862013666\n", + "-0.07184048625633688\n" + ] + } + ], + "execution_count": 12 }, { "cell_type": "markdown", @@ -140,25 +171,73 @@ "results" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:15.056258Z", + "start_time": "2024-12-05T22:45:14.988659Z" + } }, - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "{'CardanoSentiment': 0.3002608403259928,\n", + " 'Covid3Month': 0.04471992368682529,\n", + " 'FloodModeling1': 0.018863328807814914,\n", + " 'FloodModeling2': 0.018547996598852055,\n", + " 'NaturalGasPricesSentiment': 0.09023204999410936}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 13 }, { "cell_type": "code", "source": [ - "benchmarks = [\"InceptionE\", \"FreshPRINCE\", \"DrCIF\"]\n", + "benchmarks = [\"InceptionT\", \"FreshPRINCE\", \"DrCIF\"]\n", "res = get_estimator_results(\n", " datasets=datasets, estimators=benchmarks, task=\"regression\", measure=\"rmse\"\n", ")\n", "res" ], "metadata": { - "collapsed": false + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T22:45:15.207445Z", + "start_time": "2024-12-05T22:45:15.133130Z" + } }, - "outputs": [], - "execution_count": null + "outputs": [ + { + "data": { + "text/plain": [ + "{'InceptionT': {'CardanoSentiment': 0.3790249345482153,\n", + " 'Covid3Month': 0.0547486330011963,\n", + " 'FloodModeling1': 0.0066867519847921,\n", + " 'FloodModeling2': 0.0043589524619258,\n", + " 'NaturalGasPricesSentiment': 0.2406518450482171},\n", + " 'FreshPRINCE': {'CardanoSentiment': 0.2894787944853637,\n", + " 'Covid3Month': 0.0401913023459625,\n", + " 'FloodModeling1': 0.0049994162451307,\n", + " 'FloodModeling2': 0.0068567616393676,\n", + " 'NaturalGasPricesSentiment': 0.054954074837973},\n", + " 'DrCIF': {'CardanoSentiment': 0.3133879847892337,\n", + " 'Covid3Month': 0.0430093286336655,\n", + " 'FloodModeling1': 0.0060619965978605,\n", + " 'FloodModeling2': 0.0061042553512311,\n", + " 'NaturalGasPricesSentiment': 0.0534594028311273}}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "execution_count": 14 }, { "cell_type": "code", @@ -168,10 +247,95 @@ "table" ], "metadata": { - 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 16 } ], "metadata": { diff --git a/pyproject.toml b/pyproject.toml index 623951e6..17a7ac14 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,10 +41,11 @@ classifiers = [ ] requires-python = ">=3.9,<3.13" dependencies = [ - "aeon>=0.11.0,<1.0.0", - "tsml>=0.4.0,<0.5.0", - "scikit-learn>=1.0.0,<1.5.0", + "aeon>=1.0.0,<1.1.0", + "tsml>=0.6.1,<0.7.0", + "scikit-learn>=1.0.0,<1.7.0", "matplotlib", + "seaborn", "gpustat", "psutil", ] @@ -54,17 +55,17 @@ all_extras = [ "aeon[all_extras]", "tsml[all_extras]", "xgboost", + # temp + "esig>=0.9.7,<1.0.0; platform_system != 'Darwin' and python_version < '3.11'", ] -all-extras = ["tsml-eval[all_extras]"] unstable_extras = [ "aeon[unstable_extras]", "tsml[unstable_extras]", ] -unstable-extras = ["tsml-eval[unstable_extras]"] deep_learning = [ "aeon[dl]", ] -deep-learning = ["tsml-eval[deep_learning]"] + dev = [ "pre-commit", "pytest", @@ -79,7 +80,7 @@ binder = [ "jupyterlab", ] docs = [ - "sphinx<8.1.0", + "sphinx<8.2.0", "sphinx-design", "sphinx-version-warning", "sphinx_issues", diff --git a/tsml_eval/_wip/dilation_muse/muse.py b/tsml_eval/_wip/dilation_muse/muse.py index c1e96896..a711a5ac 100644 --- a/tsml_eval/_wip/dilation_muse/muse.py +++ b/tsml_eval/_wip/dilation_muse/muse.py @@ -3,7 +3,7 @@ and logistic regression. """ -__author__ = ["patrickzib"] +__maintainer__ = ["patrickzib"] __all__ = ["MUSEDilation"] import math diff --git a/tsml_eval/_wip/dilation_muse/sfa_dilation.py b/tsml_eval/_wip/dilation_muse/sfa_dilation.py index 9ed124ef..c6efc2eb 100644 --- a/tsml_eval/_wip/dilation_muse/sfa_dilation.py +++ b/tsml_eval/_wip/dilation_muse/sfa_dilation.py @@ -2,7 +2,7 @@ Configurable SFA transform for discretising time series into words. """ -__author__ = ["patrickzib"] +__maintainer__ = ["patrickzib"] __all__ = ["SFADilation"] import math diff --git a/tsml_eval/_wip/hc2_regression/arsenal.py b/tsml_eval/_wip/hc2_regression/arsenal.py index e9b707b6..900bae0a 100644 --- a/tsml_eval/_wip/hc2_regression/arsenal.py +++ b/tsml_eval/_wip/hc2_regression/arsenal.py @@ -3,7 +3,7 @@ kernel based ensemble of ROCKET classifiers. """ -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["Arsenal"] import time diff --git a/tsml_eval/_wip/hc2_regression/hivecote_v2.py b/tsml_eval/_wip/hc2_regression/hivecote_v2.py index b9bfd0ca..35a4bf34 100644 --- a/tsml_eval/_wip/hc2_regression/hivecote_v2.py +++ b/tsml_eval/_wip/hc2_regression/hivecote_v2.py @@ -4,7 +4,7 @@ representations, using the weighted probabilistic CAWPE as an ensemble controller. """ -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["HIVECOTEV2"] from datetime import datetime diff --git a/tsml_eval/_wip/hc2_regression/sfa.py b/tsml_eval/_wip/hc2_regression/sfa.py index 080bd295..a878655a 100644 --- a/tsml_eval/_wip/hc2_regression/sfa.py +++ b/tsml_eval/_wip/hc2_regression/sfa.py @@ -3,7 +3,7 @@ Configurable SFA transform for discretising time series into words. """ -__author__ = ["MatthewMiddlehurst", "patrickzib"] +__maintainer__ = ["MatthewMiddlehurst", "patrickzib"] __all__ = ["SFA"] import math diff --git a/tsml_eval/_wip/hc2_regression/shapelet_transform.py b/tsml_eval/_wip/hc2_regression/shapelet_transform.py index 21ccc5ba..7d9baf5a 100644 --- a/tsml_eval/_wip/hc2_regression/shapelet_transform.py +++ b/tsml_eval/_wip/hc2_regression/shapelet_transform.py @@ -3,7 +3,7 @@ A transformer from the time domain into the shapelet domain. """ -__author__ = ["MatthewMiddlehurst", "jasonlines", "dguijo"] +__maintainer__ = ["MatthewMiddlehurst", "jasonlines", "dguijo"] __all__ = ["RandomShapeletTransform"] import heapq diff --git a/tsml_eval/_wip/hc2_regression/str.py b/tsml_eval/_wip/hc2_regression/str.py index 4dfea7a6..a0d7bf2e 100644 --- a/tsml_eval/_wip/hc2_regression/str.py +++ b/tsml_eval/_wip/hc2_regression/str.py @@ -4,7 +4,7 @@ transform then builds (by default) a rotation forest classifier on the output. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst", "DavidGuijoRubio"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst", "DavidGuijoRubio"] __all__ = ["ShapeletTransformRegressor"] import numpy as np diff --git a/tsml_eval/_wip/hc2_regression/tde.py b/tsml_eval/_wip/hc2_regression/tde.py index 325ffde8..5d568c83 100644 --- a/tsml_eval/_wip/hc2_regression/tde.py +++ b/tsml_eval/_wip/hc2_regression/tde.py @@ -4,7 +4,7 @@ IndividualTDE and TDE. """ -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["TemporalDictionaryEnsemble", "IndividualTDE", "histogram_intersection"] import math diff --git a/tsml_eval/_wip/pf/__init__.py b/tsml_eval/_wip/pf/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tsml_eval/_wip/pf/_pf2.py b/tsml_eval/_wip/pf/_pf2.py new file mode 100644 index 00000000..71cf17d9 --- /dev/null +++ b/tsml_eval/_wip/pf/_pf2.py @@ -0,0 +1,1083 @@ +"""Proximity Forest 2.0 Classifier.""" + +from typing import Any, Callable, Optional, TypedDict, Union + +import numpy as np +from joblib import Parallel, delayed +from numba import njit +from numba.typed import List as NumbaList +from sklearn.utils import check_random_state +from typing_extensions import Unpack + +from aeon.classification.base import BaseClassifier +from aeon.distances.elastic._bounding_matrix import create_bounding_matrix +from aeon.distances.elastic._lcss import lcss_distance +from aeon.distances.pointwise._minkowski import ( + _univariate_minkowski_distance, + minkowski_distance, +) + + +class ProximityForest2(BaseClassifier): + """Proximity Forest 2.0 Classifier. + + The Proximity Forest 2.0 outperforms the Proximity Forest Classifier. + PF 2.0 incorporates three recent advances in time series similarity measures + (1) computationally e cient early abandoning and pruning to speedup elastic + similarity computations; (2) a new elastic similarity measure, Amerced Dynamic + Time Warping (ADTW); and (3) cost function tuning. + + Parameters + ---------- + n_trees: int, default = 100 + The number of trees, by default an ensemble of 100 trees is formed. + n_splitters: int, default = 5 + The number of candidate splitters to be evaluated at each node. + max_depth: int, default = None + The maximum depth of the tree. If None, then nodes are expanded until all + leaves are pure or until all leaves contain less than min_samples_split samples. + min_samples_split: int, default = 2 + The minimum number of samples required to split an internal node. + random_state : int, RandomState instance or None, default=None + If `int`, random_state is the seed used by the random number generator; + If `RandomState` instance, random_state is the random number generator; + If `None`, the random number generator is the `RandomState` instance used + by `np.random`. + n_jobs : int, default = 1 + The number of parallel jobs to run for neighbors search. + ``None`` means 1 unless in a :obj:`joblib.parallel_backend` context. + ``-1`` means using all processors. See :term:`Glossary ` + for more details. Parameter for compatibility purposes, still unimplemented. + parallel_backend : str, ParallelBackendBase instance or None, default=None + Specify the parallelisation backend implementation in joblib, if None a 'prefer' + value of "threads" is used by default. + Valid options are "loky", "multiprocessing", "threading" or a custom backend. + See the joblib Parallel documentation for more details. + + Notes + ----- + For the C++ version, see + `ProximityForest2.0 + `_. + + Also refer to the Proximity Forest implementation, + see the :class:`~aeon.classification.distance_based.ProximityForest` API. + + References + ---------- + .. [1] Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb. + Proximity Forest 2.0: A new e ective and scalable similarity-based classifier + for time series, https://doi.org/10.48550/arXiv.2304.05800. + + Examples + -------- + >>> from aeon.datasets import load_unit_test + >>> from aeon.classification.distance_based import ProximityForest + >>> X_train, y_train = load_unit_test(split="train") + >>> X_test, y_test = load_unit_test(split="test") + >>> classifier = ProximityForest2(n_trees = 10, n_splitters = 3) + >>> classifier.fit(X_train, y_train) + ProximityForest2(...) + >>> y_pred = classifier.predict(X_test) + """ + + _tags = { + "capability:multivariate": False, + "capability:unequal_length": False, + "capability:multithreading": True, + "algorithm_type": "distance", + "X_inner_type": ["numpy2D"], + } + + def __init__( + self, + n_trees=100, + n_splitters: int = 5, + max_depth: int = None, + min_samples_split: int = 2, + random_state: Union[int, type[np.random.RandomState], None] = None, + n_jobs: int = 1, + parallel_backend=None, + ): + self.n_trees = n_trees + self.n_splitters = n_splitters + self.max_depth = max_depth + self.min_samples_split = min_samples_split + self.random_state = random_state + self.n_jobs = n_jobs + self.parallel_backend = parallel_backend + super().__init__() + + def _fit(self, X, y): + rng = check_random_state(self.random_state) + seeds = rng.randint(np.iinfo(np.int32).max, size=self.n_trees) + self.trees_ = Parallel( + n_jobs=self._n_jobs, backend=self.parallel_backend, prefer="threads" + )( + delayed(_fit_tree)( + X, + y, + self.n_splitters, + self.max_depth, + self.min_samples_split, + check_random_state(seed), + ) + for seed in seeds + ) + + def _predict_proba(self, X): + classes = list(self.classes_) + preds = Parallel( + n_jobs=self._n_jobs, backend=self.parallel_backend, prefer="threads" + )(delayed(_predict_tree)(tree, X) for tree in self.trees_) + n_cases = X.shape[0] + votes = np.zeros((n_cases, self.n_classes_)) + for i in range(len(preds)): + predictions = np.array( + [classes.index(class_label) for class_label in preds[i]] + ) + for j in range(n_cases): + votes[j, predictions[j]] += 1 + output_probas = votes / self.n_trees + return output_probas + + def _predict(self, X): + probas = self._predict_proba(X) + idx = np.argmax(probas, axis=1) + preds = np.asarray([self.classes_[x] for x in idx]) + return preds + + +def _fit_tree(X, y, n_splitters, max_depth, min_samples_split, random_state): + clf = ProximityTree2( + n_splitters=n_splitters, + max_depth=max_depth, + min_samples_split=min_samples_split, + random_state=random_state, + ) + clf.fit(X, y) + return clf + + +def _predict_tree(tree, X): + return tree.predict(X) + + +class _Node: + """Proximity Tree node. + + Parameters + ---------- + node_id: str + The id of node, root node has id 0. + _is_leaf: bool + To identify leaf nodes. + label: int, str or None + Contains the class label of leaf node, None otherwise. + splitter: dict + The splitter used to split the node. + class_distribution: dict + In case of unpure leaf node, save the class distribution to calculate + probability of each class. + children: dict + Contains the class label and the associated node, empty for leaf node. + """ + + def __init__( + self, + node_id: str, + _is_leaf: bool, + label=None, + class_distribution=None, + splitter=None, + ): + self.node_id = node_id + self._is_leaf = _is_leaf + self.label = label + self.splitter = splitter + self.class_distribution = class_distribution or {} + self.children = {} + + +class ProximityTree2(BaseClassifier): + """Proximity Tree classifier for PF2.0. + + It leverages ADTW and tuning the cost functions for TSC to increase accuracy, + together with the computational e ciency of computing these distances provided by + EAP. + + PF 2.0 modifies the splitters to comprise three elements, a set of class exemplars, + a parameterised similarity measure and a time series transform. + + Parameters + ---------- + n_splitters: int, default = 5 + The number of candidate splitters to be evaluated at each node. + max_depth: int, default = None + The maximum depth of the tree. If None, then nodes are expanded until all + leaves are pure or until all leaves contain less than min_samples_split samples. + min_samples_split: int, default = 2 + The minimum number of samples required to split an internal node. + random_state : int, RandomState instance or None, default=None + If `int`, random_state is the seed used by the random number generator; + If `RandomState` instance, random_state is the random number generator; + If `None`, the random number generator is the `RandomState` instance used + by `np.random`. + + Notes + ----- + For the C++ version, see + `ProximityForest2.0 + `_. + + Also refer to the Proximity Tree implementation, + see the :class:`~aeon.classification.distance_based.ProximityTree` API. + + References + ---------- + .. [1] Matthieu Herrmann, Chang Wei Tan, Mahsa Salehi, Geoffrey I. Webb. + Proximity Forest 2.0: A new e ective and scalable similarity-based classifier + for time series, https://doi.org/10.48550/arXiv.2304.05800. + + Examples + -------- + >>> from aeon.datasets import load_unit_test + >>> from aeon.classification.distance_based import ProximityTree + >>> X_train, y_train = load_unit_test(split="train") + >>> X_test, y_test = load_unit_test(split="test") + >>> classifier = ProximityTree2(n_splitters = 3) + >>> classifier.fit(X_train, y_train) + ProximityTree2(...) + >>> y_pred = classifier.predict(X_test) + """ + + _tags = { + "capability:multivariate": False, + "capability:unequal_length": False, + "algorithm_type": "distance", + "X_inner_type": ["numpy2D"], + } + + def __init__( + self, + n_splitters: int = 5, + max_depth: int = None, + min_samples_split: int = 2, + random_state: Union[int, type[np.random.RandomState], None] = None, + ) -> None: + self.n_splitters = n_splitters + self.max_depth = max_depth + self.min_samples_split = min_samples_split + self.random_state = random_state + super().__init__() + + def _get_parameter_value(self, X): + """Generate random parameter values. + + For a list of distance measures, generate a dictionary + of parameterized distances. + + Parameters + ---------- + X : np.ndarray of shape (n_cases, n_timepoints) + + Returns + ------- + distance_param : a dictionary of distances and their + parameters. + """ + rng = check_random_state(self.random_state) + + X_std = X.std() + param_ranges = { + "dtw": {"window": (0, 0.25)}, + "adtw": {"window": (0, 0.25)}, + "lcss": {"epsilon": (X_std / 5, X_std), "window": (0, 0.25)}, + } + random_params = {} + for measure, ranges in param_ranges.items(): + random_params[measure] = { + param: np.round(rng.uniform(low, high), 3) + for param, (low, high) in ranges.items() + } + + return random_params + + def _get_candidate_splitter(self, X, y): + """Generate candidate splitter. + + Takes a time series dataset and a set of parameterized + distance measures to create a candidate splitter, which + contains a parameterized distance measure and a set of exemplars. + + Parameters + ---------- + X : np.ndarray shape (n_cases, n_timepoints) + The training input samples. + y : np.array shape (n_cases,) or (n_cases,1) + The labels of the training samples. + parameterized_distances : dictionary + Contains the distances and their parameters. + + Returns + ------- + splitter : list of two dictionaries + A distance and its parameter values and a set of exemplars. + """ + rng = check_random_state(self.random_state) + + # Class exemplars + exemplars = {} + for label in np.unique(y): + y_new = y[y == label] + X_new = X[y == label] + id = rng.randint(0, X_new.shape[0]) + exemplars[y_new[id]] = X_new[id, :] + + # Time series transform + transforms = ["raw", "first_derivative"] + t = rng.randint(0, 2) + transform = transforms[t] + + # random parameterized distance measure + parameterized_distances = self._get_parameter_value(X) + n = rng.randint(0, 3) + dist = list(parameterized_distances.keys())[n] + if dist == "dtw": + values = [0.5, 1, 2] + p = rng.choice(values) + parameterized_distances[dist]["p"] = p + if dist == "adtw": + values = [0.5, 1, 2] + p = rng.choice(values) + parameterized_distances[dist]["p"] = p + i = rng.randint(1, 101) + w = ((i / 100) ** 5) * self._max_warp_penalty + parameterized_distances[dist]["warp_penalty"] = w + + # Create a list of class exemplars, distance measures and transform + splitter = [exemplars, {dist: parameterized_distances[dist]}, transform] + + return splitter + + def _get_best_splitter(self, X, y): + """Get the splitter for a node which maximizes the gini gain.""" + max_gain = float("-inf") + best_splitter = None + for _ in range(self.n_splitters): + splitter = self._get_candidate_splitter(X, y) + labels = list(splitter[0].keys()) + measure = list(splitter[1].keys())[0] + transform = splitter[2] + if transform == "first_derivative": + X_trans = NumbaList() + for i in range(len(X)): + X_trans.append(first_order_derivative(X[i])) + exemplars = NumbaList() + for i in range(len(labels)): + exemplars.append( + first_order_derivative(list(splitter[0].values())[i]) + ) + else: + X_trans = X + exemplars = np.array(list(splitter[0].values())) + + y_subs = [[] for _ in range(len(labels))] + for j in range(len(X_trans)): + min_dist = float("inf") + sub = None + for k in range(len(labels)): + if measure == "dtw" or measure == "adtw": + splitter[1][measure]["threshold"] = min_dist + dist = distance( + X_trans[j], + exemplars[k], + metric=measure, + **splitter[1][measure], + ) + if dist < min_dist: + min_dist = dist + sub = k + y_subs[sub].append(y[j]) + y_subs = [np.array(ele, dtype=y.dtype) for ele in y_subs] + gini_index = gini_gain(y, y_subs) + if gini_index > max_gain: + max_gain = gini_index + best_splitter = splitter + return best_splitter + + def _build_tree(self, X, y, depth, node_id, parent_target_value=None): + """Build the tree recursively from the root node down to the leaf nodes.""" + # If the data reaching the node is empty + if len(X) == 0: + leaf_label = parent_target_value + leaf_distribution = {} + leaf = _Node( + node_id=node_id, + _is_leaf=True, + label=leaf_label, + class_distribution=leaf_distribution, + ) + return leaf + + # Target value in current node + target_value = self._find_target_value(y) + class_distribution = { + label: count / len(y) + for label, count in zip(*np.unique(y, return_counts=True)) + } + + # Pure node + if len(np.unique(y)) == 1: + leaf_label = target_value + leaf = _Node( + node_id=node_id, + _is_leaf=True, + label=leaf_label, + class_distribution=class_distribution, + ) + return leaf + + # If min sample splits is reached + if self.min_samples_split >= len(X): + leaf_label = target_value + leaf = _Node( + node_id=node_id, + _is_leaf=True, + label=leaf_label, + class_distribution=class_distribution, + ) + return leaf + + # If max depth is reached + if (self.max_depth is not None) and (depth >= self.max_depth): + leaf_label = target_value + leaf = _Node( + node_id=node_id, + _is_leaf=True, + label=leaf_label, + class_distribution=class_distribution, + ) + return leaf + + # Find the best splitter + splitter = self._get_best_splitter(X, y) + + # Create root node + node = _Node(node_id=node_id, _is_leaf=False, splitter=splitter) + + # For each exemplar split the data + labels = list(splitter[0].keys()) + measure = list(splitter[1].keys())[0] + transform = splitter[2] + if transform == "first_derivative": + X_trans = NumbaList() + for i in range(len(X)): + X_trans.append(first_order_derivative(X[i])) + exemplars = NumbaList() + for i in range(len(labels)): + exemplars.append(first_order_derivative(list(splitter[0].values())[i])) + else: + X_trans = X + exemplars = np.array(list(splitter[0].values())) + + X_child = [[] for _ in labels] + y_child = [[] for _ in labels] + for i in range(len(X_trans)): + min_dist = np.inf + id = None + for j in range(len(labels)): + if measure == "dtw" or measure == "adtw": + splitter[1][measure]["threshold"] = min_dist + dist = distance( + X_trans[i], + exemplars[j], + metric=measure, + **splitter[1][measure], + ) + if dist < min_dist: + min_dist = dist + id = j + X_child[id].append(X[i]) + y_child[id].append(y[i]) + X_child = [np.array(ele) for ele in X_child] + y_child = [np.array(ele) for ele in y_child] + # For each exemplar, create a branch + for i in range(len(labels)): + child_node_id = node_id + "." + str(i) + child_node = self._build_tree( + X_child[i], + y_child[i], + depth=depth + 1, + node_id=child_node_id, + parent_target_value=target_value, + ) + node.children[labels[i]] = child_node + + return node + + @staticmethod + @njit(cache=True, fastmath=True) + def _find_target_value(y): + """Get the class label of highest frequency.""" + unique_labels = list(np.unique(y)) + class_counts = [] + for i in range(len(unique_labels)): + cnt = 0 + for j in range(len(y)): + if y[j] == unique_labels[i]: + cnt += 1 + class_counts.append(cnt) + class_counts = np.array(class_counts) + # Find the index of the maximum count + max_index = np.argmax(class_counts) + mode_value = unique_labels[max_index] + # mode_count = counts[max_index] + return mode_value + + def _fit(self, X, y): + self._max_warp_penalty = _global_warp_penalty(X) + self.root = self._build_tree( + X, y, depth=0, node_id="0", parent_target_value=None + ) + + def _predict(self, X): + probas = self._predict_proba(X) + predictions = np.argmax(probas, axis=1) + return np.array([self.classes_[pred] for pred in predictions]) + + def _predict_proba(self, X): + # Get the unique class labels + classes = list(self.classes_) + class_count = len(classes) + probas = [] + + for i in range(len(X)): + # Classify the data point and find the leaf node + leaf_node = self._classify(self.root, X[i]) + + # Create probability distribution based on class counts in the leaf node + proba = np.zeros(class_count) + for class_label, class_proba in leaf_node.class_distribution.items(): + proba[classes.index(class_label)] = class_proba + probas.append(proba) + + return np.array(probas) + + def _classify(self, treenode, x): + # Classify one data point using the proximity tree + if treenode._is_leaf: + return treenode + else: + measure = list(treenode.splitter[1].keys())[0] + branches = list(treenode.splitter[0].keys()) + transform = treenode.splitter[2] + if transform == "first_derivative": + x_trans = first_order_derivative(x) + exemplars = NumbaList() + for i in range(len(list(treenode.splitter[0].values()))): + exemplars.append( + first_order_derivative(list(treenode.splitter[0].values())[i]) + ) + else: + x_trans = x + exemplars = np.array(list(treenode.splitter[0].values())) + min_dist = np.inf + id = None + for i in range(len(branches)): + if measure == "dtw" or measure == "adtw": + treenode.splitter[1][measure]["threshold"] = min_dist + dist = distance( + x_trans, + exemplars[i], + metric=measure, + **treenode.splitter[1][measure], + ) + if dist < min_dist: + min_dist = dist + id = i + return self._classify(treenode.children[branches[id]], x) + + +@njit(cache=True, fastmath=True) +def gini(y) -> float: + """Get gini score at a specific node. + + Parameters + ---------- + y : 1d numpy array + array of class labels + + Returns + ------- + score : float + gini score for the set of class labels (i.e. how pure they are). A + larger score means more impurity. Zero means + pure. + """ + # get number instances at node + n_instances = y.shape[0] + if n_instances > 0: + # count each class + unique_labels = list(np.unique(y)) + class_counts = [] + for i in range(len(unique_labels)): + cnt = 0 + for j in range(len(y)): + if y[j] == unique_labels[i]: + cnt += 1 + class_counts.append(cnt) + class_counts = np.array(class_counts) + # subtract class entropy from current score for each class + class_counts = np.divide(class_counts, n_instances) + class_counts = np.power(class_counts, 2) + sum = np.sum(class_counts) + return 1 - sum + else: + # y is empty, therefore considered pure + raise ValueError("y empty") + + +@njit(cache=True, fastmath=True) +def gini_gain(y, y_subs) -> float: + """Get gini score of a split, i.e. the gain from parent to children. + + Parameters + ---------- + y : 1d array + array of class labels at parent + y_subs : list of 1d array like + list of array of class labels, one array per child + + Returns + ------- + score : float + gini score of the split from parent class labels to children. Note a + higher score means better gain, + i.e. a better split + """ + # find number of instances overall + parent_n_instances = y.shape[0] + # if parent has no instances then is pure + if parent_n_instances == 0: + for child in y_subs: + if len(child) > 0: + raise ValueError("children populated but parent empty") + return 0.5 + # find gini for parent node + score = gini(y) + # sum the children's gini scores + for index in range(len(y_subs)): + child_class_labels = y_subs[index] + # ignore empty children + if len(child_class_labels) > 0: + # find gini score for this child + child_score = gini(child_class_labels) + # weight score by proportion of instances at child compared to + # parent + child_size = len(child_class_labels) + child_score *= child_size / parent_n_instances + # add to cumulative sum + score -= child_score + return score + + +@njit(cache=True, fastmath=True) +def _global_warp_penalty(X): + n = len(X) + pairs = [ + (X[np.random.randint(0, n)], X[np.random.randint(0, n)]) for _ in range(4000) + ] + distances = np.array([minkowski_distance(pair[0], pair[1], 2) for pair in pairs]) + penalty = np.mean(distances) + return penalty + + +@njit(cache=True, fastmath=True) +def first_order_derivative_1d(q: np.ndarray) -> np.ndarray: + """Compute the first-order derivative of a 1D time series.""" + n = len(q) + result = np.zeros(n) + + # First element + result[0] = (q[1] - q[0]) / 2.0 + + # Middle elements + for j in range(1, n - 1): + result[j] = ((q[j] - q[j - 1]) + (q[j + 1] - q[j - 1]) / 2.0) / 2.0 + + # Last element + result[-1] = (q[-1] - q[-2]) / 2.0 + + return result + + +@njit(cache=True, fastmath=True) +def first_order_derivative_2d(q: np.ndarray) -> np.ndarray: + """Compute the first-order derivative of a 2D time series.""" + n = q.shape[1] + result = np.zeros((1, n)) + + # First element + result[0, 0] = (q[0, 1] - q[0, 0]) / 2.0 + + # Middle elements + for j in range(1, n - 1): + result[0, j] = ( + (q[0, j] - q[0, j - 1]) + (q[0, j + 1] - q[0, j - 1]) / 2.0 + ) / 2.0 + + # Last element + result[0, -1] = (q[0, -1] - q[0, -2]) / 2.0 + + return result + + +@njit(cache=True, fastmath=True) +def first_order_derivative(q: np.ndarray) -> np.ndarray: + """ + Compute the first-order derivative of the time series. + + Parameters + ---------- + q : np.ndarray (n_timepoints,) or (1, n_timepoints) + Time series to take derivative of. + + Returns + ------- + np.ndarray + The first-order derivative of q with the same shape as the input. + """ + if q.ndim == 1: + return first_order_derivative_1d(q) + elif q.ndim == 2 and q.shape[0] == 1: + return first_order_derivative_2d(q) + else: + raise ValueError( + "Time series must be either (n_timepoints,) or (1, n_timepoints)." + ) + + +# Distances for PF 2. + + +class DistanceKwargs(TypedDict, total=False): + window: Optional[float] + itakura_max_slope: Optional[float] + p: float + w: np.ndarray + epsilon: float + warp_penalty: float + threshold: float + + +DistanceFunction = Callable[[np.ndarray, np.ndarray, Any], float] + + +def distance( + x: np.ndarray, + y: np.ndarray, + metric: Union[str, DistanceFunction], + **kwargs: Unpack[DistanceKwargs], +) -> float: + r"""Compute the distance between two time series. + + Sourced from the distance module to use in the PF 2.0 algorithm. + + Parameters + ---------- + x : np.ndarray + First time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + y : np.ndarray + Second time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + metric : str or Callable + The distance metric to use. + A list of valid distance metrics can be found in the documentation for + :func:`aeon.distances.get_distance_function` or by calling the function + :func:`aeon.distances.get_distance_function_names`. + kwargs : Any + Arguments for metric. Refer to each metrics documentation for a list of + possible arguments. + + Returns + ------- + float + Distance between the x and y. + + Raises + ------ + ValueError + If x and y are not 1D, or 2D arrays. + If metric is not a valid string or callable. + """ + if metric == "minkowski": + return minkowski_distance(x, y, kwargs.get("p", 2.0), kwargs.get("w", None)) + elif metric == "dtw": + return _dtw_distance( + x, + y, + p=kwargs.get("p"), + window=kwargs.get("window"), + itakura_max_slope=kwargs.get("itakura_max_slope"), + threshold=kwargs.get("threshold"), + ) + elif metric == "lcss": + return lcss_distance( + x, + y, + kwargs.get("window"), + kwargs.get("epsilon", 1.0), + kwargs.get("itakura_max_slope"), + ) + elif metric == "adtw": + return _adtw_distance( + x, + y, + p=kwargs.get("p"), + itakura_max_slope=kwargs.get("itakura_max_slope"), + window=kwargs.get("window"), + warp_penalty=kwargs.get("warp_penalty", 1.0), + threshold=kwargs.get("threshold"), + ) + else: + if isinstance(metric, Callable): + return metric(x, y, **kwargs) + raise ValueError("Metric must be one of the supported strings or a callable") + + +@njit(cache=True, fastmath=True) +def _dtw_distance( + x: np.ndarray, + y: np.ndarray, + p: float = 2.0, + window: Optional[float] = None, + itakura_max_slope: Optional[float] = None, + threshold: Optional[float] = np.inf, +) -> float: + r"""Return parameterised DTW distance for PF 2.0. + + DTW is the most widely researched and used elastic distance measure. It mitigates + distortions in the time axis by realligning (warping) the series to best match + each other. A good background into DTW can be found in [1]_. For two series, + possibly of unequal length, + :math:`\\mathbf{x}=\\{x_1,x_2,\\ldots,x_n\\}` and + :math:`\\mathbf{y}=\\{y_1,y_2, \\ldots,y_m\\}` DTW first calculates + :math:`M(\\mathbf{x},\\mathbf{y})`, the :math:`n \times m` + pointwise distance matrix between series :math:`\\mathbf{x}` and :math:`\\mathbf{y}` + , where :math:`M_{i,j}= (x_i-y_j)^p`. + A warping path + .. math:: + P = <(e_1, f_1), (e_2, f_2), \\ldots, (e_s, f_s)> + is a set of pairs of indices that define a traversal of matrix :math:`M`. A + valid warping path must start at location :math:`(1,1)` and end at point :math:`( + n,m)` and not backtrack, i.e. :math:`0 \\leq e_{i+1}-e_{i} \\leq 1` and :math:`0 + \\leq f_{i+1}- f_i \\leq 1` for all :math:`1< i < m`. + The DTW distance between series is the path through :math:`M` that minimizes the + total distance. The distance for any path :math:`P` of length :math:`s` is + .. math:: + D_P(\\mathbf{x},\\mathbf{y}, M) =\\sum_{i=1}^s M_{e_i,f_i} + If :math:`\\mathcal{P}` is the space of all possible paths, the DTW path :math:`P^*` + is the path that has the minimum distance, hence the DTW distance between series is + .. math:: + d_{dtw}(\\mathbf{x}, \\mathbf{x}) =D_{P*}(\\mathbf{x},\\mathbf{x}, M). + The optimal warping path :math:`P^*` can be found exactly through a dynamic + programming formulation. This can be a time consuming operation, and it is common to + put a restriction on the amount of warping allowed. This is implemented through + the bounding_matrix structure, that supplies a mask for allowable warpings. + The most common bounding strategies include the Sakoe-Chiba band [2]_. The width + of the allowed warping is controlled through the ``window`` parameter + which sets the maximum proportion of warping allowed. + + Parameters + ---------- + x : np.ndarray + First time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + y : np.ndarray + Second time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + p : float, default=2.0 + The order of the norm of the difference + (default is 2.0, which represents the Euclidean distance). + window : float or None, default=None + The window to use for the bounding matrix. If None, no bounding matrix + is used. window is a percentage deviation, so if ``window = 0.1`` then + 10% of the series length is the max warping allowed. + is used. + itakura_max_slope : float, default=None + Maximum slope as a proportion of the number of time points used to create + Itakura parallelogram on the bounding matrix. Must be between 0. and 1. + threshold : float, default=np.inf + Threshold to stop the calculation of cost matrix. + + Returns + ------- + float + DTW distance between x and y, minimum value 0. + + Raises + ------ + ValueError + If x and y are not 1D or 2D arrays. + + References + ---------- + .. [1] Ratanamahatana C and Keogh E.: Three myths about dynamic time warping data + mining, Proceedings of 5th SIAM International Conference on Data Mining, 2005. + .. [2] Sakoe H. and Chiba S.: Dynamic programming algorithm optimization for + spoken word recognition. IEEE Transactions on Acoustics, Speech, and Signal + Processing 26(1):43–49, 1978. + """ + if x.ndim == 1 and y.ndim == 1: + _x = x.reshape((1, x.shape[0])) + _y = y.reshape((1, y.shape[0])) + bounding_matrix = create_bounding_matrix( + _x.shape[1], _y.shape[1], window, itakura_max_slope + ) + return _dtw_cost_matrix(_x, _y, p, bounding_matrix, threshold)[ + _x.shape[1] - 1, _y.shape[1] - 1 + ] + if x.ndim == 2 and y.ndim == 2: + bounding_matrix = create_bounding_matrix( + x.shape[1], y.shape[1], window, itakura_max_slope + ) + return _dtw_cost_matrix(x, y, p, bounding_matrix, threshold)[ + x.shape[1] - 1, y.shape[1] - 1 + ] + raise ValueError("x and y must be 1D or 2D") + + +@njit(cache=True, fastmath=True) +def _dtw_cost_matrix( + x: np.ndarray, + y: np.ndarray, + p: float, + bounding_matrix: np.ndarray, + threshold: float, +) -> np.ndarray: + x_size = x.shape[1] + y_size = y.shape[1] + cost_matrix = np.full((x_size + 1, y_size + 1), np.inf) + cost_matrix[0, 0] = 0.0 + _w = np.ones_like(x) + for i in range(x_size): + for j in range(y_size): + if bounding_matrix[i, j]: + cost_matrix[i + 1, j + 1] = _univariate_minkowski_distance( + x[:, i], y[:, j], p, _w[:, i] + ) + min( + cost_matrix[i, j + 1], + cost_matrix[i + 1, j], + cost_matrix[i, j], + ) + if cost_matrix[i + 1, j + 1] > threshold: + break + return cost_matrix[1:, 1:] + + +@njit(cache=True, fastmath=True) +def _adtw_distance( + x: np.ndarray, + y: np.ndarray, + p: float = 2.0, + window: Optional[float] = None, + itakura_max_slope: Optional[float] = None, + warp_penalty: float = 1.0, + threshold: Optional[float] = np.inf, +) -> float: + """Parameterised version of ADTW distance for PF 2.0. + + Amercing Dynamic Time Warping (ADTW) [1]_ is a variant of DTW that uses a + explicit warping penalty to encourage or discourage warping. The warping + penalty is a constant value that is added to the cost of warping. A high + value will encourage the algorithm to warp less and if the value is low warping + is more likely. + + Parameters + ---------- + x : np.ndarray + First time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + y : np.ndarray + Second time series, either univariate, shape ``(n_timepoints,)``, or + multivariate, shape ``(n_channels, n_timepoints)``. + p : float, default=2.0 + The order of the norm of the difference + (default is 2.0, which represents the Euclidean distance). + window : float or None, default=None + The window to use for the bounding matrix. If None, no bounding matrix + is used. window is a percentage deviation, so if ``window = 0.1`` then + 10% of the series length is the max warping allowed. + itakura_max_slope : float, default=None + Maximum slope as a proportion of the number of time points used to create + Itakura parallelogram on the bounding matrix. Must be between 0.0 and 1.0 + warp_penalty: float, default=1.0 + Penalty for warping. A high value will mean less warping. + threshold: float, default=np.inf + The threshold to stop the calculation of cost matrix. + + Returns + ------- + float + ADTW distance between x and y, minimum value 0. + + Raises + ------ + ValueError + If x and y are not 1D or 2D arrays. + + References + ---------- + .. [1] Matthieu Herrmann, Geoffrey I. Webb: Amercing: An intuitive and effective + constraint for dynamic time warping, Pattern Recognition, Volume 137, 2023. + """ + if x.ndim == 1 and y.ndim == 1: + _x = x.reshape((1, x.shape[0])) + _y = y.reshape((1, y.shape[0])) + bounding_matrix = create_bounding_matrix( + _x.shape[1], _y.shape[1], window, itakura_max_slope + ) + return _adtw_cost_matrix(_x, _y, p, bounding_matrix, warp_penalty, threshold)[ + _x.shape[1] - 1, _y.shape[1] - 1 + ] + if x.ndim == 2 and y.ndim == 2: + bounding_matrix = create_bounding_matrix( + x.shape[1], y.shape[1], window, itakura_max_slope + ) + return _adtw_cost_matrix(x, y, p, bounding_matrix, warp_penalty, threshold)[ + x.shape[1] - 1, y.shape[1] - 1 + ] + raise ValueError("x and y must be 1D or 2D") + + +@njit(cache=True, fastmath=True) +def _adtw_cost_matrix( + x: np.ndarray, + y: np.ndarray, + p: float, + bounding_matrix: np.ndarray, + warp_penalty: float, + threshold: float, +) -> np.ndarray: + x_size = x.shape[1] + y_size = y.shape[1] + cost_matrix = np.full((x_size + 1, y_size + 1), np.inf) + cost_matrix[0, 0] = 0.0 + + _w = np.ones_like(x) + for i in range(x_size): + for j in range(y_size): + if bounding_matrix[i, j]: + cost_matrix[i + 1, j + 1] = _univariate_minkowski_distance( + x[:, i], y[:, j], p, _w[:, i] + ) + min( + cost_matrix[i, j + 1] + warp_penalty, + cost_matrix[i + 1, j] + warp_penalty, + cost_matrix[i, j], + ) + if cost_matrix[i + 1, j + 1] > threshold: + break + + return cost_matrix[1:, 1:] diff --git a/tsml_eval/_wip/tschief/tschief.py b/tsml_eval/_wip/tschief/tschief.py index d0349832..d3d97d0b 100644 --- a/tsml_eval/_wip/tschief/tschief.py +++ b/tsml_eval/_wip/tschief/tschief.py @@ -5,7 +5,7 @@ from tsml_eval._wip.tschief._splitters import generate_boss_transforms from tsml_eval._wip.tschief.tschiefnode import TsChiefNode -__author__ = ["GuiArcencio"] +__maintainer__ = ["GuiArcencio"] __all__ = ["TsChief"] diff --git a/tsml_eval/estimators/classification/_sklearn_classifier.py b/tsml_eval/estimators/classification/_sklearn_classifier.py index 492c825d..f5a164d3 100644 --- a/tsml_eval/estimators/classification/_sklearn_classifier.py +++ b/tsml_eval/estimators/classification/_sklearn_classifier.py @@ -1,6 +1,6 @@ """A tsml wrapper for sklearn classifiers.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["SklearnToTsmlClassifier"] import numpy as np diff --git a/tsml_eval/estimators/classification/hybrid/hivecote_from_file.py b/tsml_eval/estimators/classification/hybrid/hivecote_from_file.py index 8e6bbe13..0d205420 100644 --- a/tsml_eval/estimators/classification/hybrid/hivecote_from_file.py +++ b/tsml_eval/estimators/classification/hybrid/hivecote_from_file.py @@ -4,7 +4,7 @@ representations, using the weighted probabilistic CAWPE as an ensemble controller. """ -__author__ = ["MatthewMiddlehurst", "ander-hg"] +__maintainer__ = ["MatthewMiddlehurst", "ander-hg"] __all__ = ["FromFileHIVECOTE"] import numpy as np diff --git a/tsml_eval/estimators/classification/hybrid/tests/test_hivecote.py b/tsml_eval/estimators/classification/hybrid/tests/test_hivecote.py index 7b6dfd40..a45fd9a8 100644 --- a/tsml_eval/estimators/classification/hybrid/tests/test_hivecote.py +++ b/tsml_eval/estimators/classification/hybrid/tests/test_hivecote.py @@ -1,11 +1,11 @@ """Tests for building HIVE-COTE from file.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import numpy as np from aeon.datasets import load_arrow_head, load_italy_power_demand -from aeon.testing.utils.estimator_checks import _assert_array_almost_equal +from numpy.testing import assert_array_almost_equal from tsml_eval.estimators.classification.hybrid.hivecote_from_file import ( FromFileHIVECOTE, @@ -54,7 +54,7 @@ def test_hivecote_from_file(): # 0.07846402768, 0.92153597231 assert probas.shape == (X_test.shape[0], 2) - _assert_array_almost_equal(probas[0], np.array([0.0785, 0.9215]), decimal=4) + assert_array_almost_equal(probas[0], np.array([0.0785, 0.9215]), decimal=4) def test_tuned_hivecote_from_file(): @@ -74,4 +74,4 @@ def test_tuned_hivecote_from_file(): probas = hc2.predict_proba(X_test) assert probas.shape == (X_test.shape[0], 3) - _assert_array_almost_equal(probas[0], np.array([0.6092, 0.2308, 0.16]), decimal=4) + assert_array_almost_equal(probas[0], np.array([0.6092, 0.2308, 0.16]), decimal=4) diff --git a/tsml_eval/estimators/clustering/_sklearn_clusterer.py b/tsml_eval/estimators/clustering/_sklearn_clusterer.py index 6c5b0aef..a5b0faa6 100644 --- a/tsml_eval/estimators/clustering/_sklearn_clusterer.py +++ b/tsml_eval/estimators/clustering/_sklearn_clusterer.py @@ -1,6 +1,6 @@ """A tsml wrapper for sklearn clusterers.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["SklearnToTsmlClusterer"] import numpy as np diff --git a/tsml_eval/estimators/clustering/consensus/ivc.py b/tsml_eval/estimators/clustering/consensus/ivc.py index 8f3bbec8..045421fa 100644 --- a/tsml_eval/estimators/clustering/consensus/ivc.py +++ b/tsml_eval/estimators/clustering/consensus/ivc.py @@ -50,8 +50,7 @@ class IterativeVotingClustering(BaseEstimator, ClusterMixin): >>> ivc = IterativeVotingClustering(n_clusters=3, random_state=0) >>> ivc.fit(iris.data) IterativeVotingClustering(...) - >>> rand_score(iris.target, ivc.labels_) - 0.8737360178970918 + >>> s = rand_score(iris.target, ivc.labels_) """ def __init__( diff --git a/tsml_eval/estimators/clustering/consensus/simple_vote.py b/tsml_eval/estimators/clustering/consensus/simple_vote.py index 710384b0..23ffb8a0 100644 --- a/tsml_eval/estimators/clustering/consensus/simple_vote.py +++ b/tsml_eval/estimators/clustering/consensus/simple_vote.py @@ -40,8 +40,7 @@ class SimpleVote(BaseEstimator, ClusterMixin): >>> sv = SimpleVote(n_clusters=3, random_state=0) >>> sv.fit(iris.data) SimpleVote(...) - >>> rand_score(iris.target, sv.labels_) - 0.8737360178970918 + >>> s = rand_score(iris.target, sv.labels_) """ def __init__(self, clusterers=None, n_clusters=8, random_state=None): diff --git a/tsml_eval/estimators/regression/_sklearn_regressor.py b/tsml_eval/estimators/regression/_sklearn_regressor.py index b3066cf9..31cfa3cc 100644 --- a/tsml_eval/estimators/regression/_sklearn_regressor.py +++ b/tsml_eval/estimators/regression/_sklearn_regressor.py @@ -1,6 +1,6 @@ """A tsml wrapper for sklearn regressors.""" -__author__ = ["DGuijoRubio", "MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["SklearnToTsmlRegressor"] import numpy as np diff --git a/tsml_eval/evaluation/multiple_estimator_evaluation.py b/tsml_eval/evaluation/multiple_estimator_evaluation.py index 0189ecd5..c3422751 100644 --- a/tsml_eval/evaluation/multiple_estimator_evaluation.py +++ b/tsml_eval/evaluation/multiple_estimator_evaluation.py @@ -6,7 +6,7 @@ from datetime import datetime import numpy as np -from aeon.performance_metrics.stats import wilcoxon_test +from aeon.benchmarking.stats import wilcoxon_test from aeon.visualisation import ( plot_boxplot, plot_critical_difference, @@ -37,6 +37,11 @@ "evaluate_forecasters_by_problem", ] +from tsml_eval.utils.results_loading import ( + _create_results_dictionary, + _load_by_problem_init, +) + def evaluate_classifiers( classifier_results, @@ -186,7 +191,7 @@ def evaluate_classifiers_by_problem( verbose : bool, default=False If verbose output should be printed. """ - load_path, classifier_names, dataset_names, resamples = _evaluate_by_problem_init( + load_path, classifier_names, dataset_names, resamples = _load_by_problem_init( "classifier", load_path, classifier_names, @@ -433,7 +438,7 @@ def evaluate_clusterers_by_problem( verbose : bool, default=False If verbose output should be printed. """ - load_path, clusterer_names, dataset_names, resamples = _evaluate_by_problem_init( + load_path, clusterer_names, dataset_names, resamples = _load_by_problem_init( "clusterer", load_path, clusterer_names, @@ -680,7 +685,7 @@ def evaluate_regressors_by_problem( verbose : bool, default=False If verbose output should be printed. """ - load_path, regressor_names, dataset_names, resamples = _evaluate_by_problem_init( + load_path, regressor_names, dataset_names, resamples = _load_by_problem_init( "regressor", load_path, regressor_names, @@ -924,7 +929,7 @@ def evaluate_forecasters_by_problem( verbose : bool, default=False If verbose output should be printed. """ - load_path, forecaster_names, dataset_names, resamples = _evaluate_by_problem_init( + load_path, forecaster_names, dataset_names, resamples = _load_by_problem_init( "forecaster", load_path, forecaster_names, @@ -1017,43 +1022,6 @@ def evaluate_forecasters_by_problem( ) -def _evaluate_by_problem_init( - type, load_path, estimator_names, dataset_names, resamples -): - if isinstance(load_path, str): - load_path = [load_path] - elif not isinstance(load_path, list): - raise TypeError("load_path must be a str or list of str.") - - if isinstance(estimator_names[0], (str, tuple)): - estimator_names = [estimator_names] - elif not isinstance(estimator_names[0], list): - raise TypeError(f"{type}_names must be a str, tuple or list of str or tuple.") - - if isinstance(dataset_names, str): - with open(dataset_names) as f: - dataset_names = f.readlines() - dataset_names = [[d.strip() for d in dataset_names]] * len(load_path) - elif isinstance(dataset_names[0], str): - dataset_names = [dataset_names] * len(load_path) - elif not isinstance(dataset_names[0], list): - raise TypeError("dataset_names must be a str or list of str.") - - if len(load_path) != len(estimator_names) or len(load_path) != len(dataset_names): - raise ValueError( - f"load_path, {type}_names and dataset_names must be the same length." - ) - - if resamples is None: - resamples = [""] - elif isinstance(resamples, int): - resamples = [str(i) for i in range(resamples)] - else: - resamples = [str(resample) for resample in resamples] - - return load_path, estimator_names, dataset_names, resamples - - def _evaluate_estimators( estimator_results, statistics, @@ -1070,7 +1038,9 @@ def _evaluate_estimators( has_test = False has_train = False - results_dict = _create_results_dictionary(estimator_results, estimator_names) + results_dict = _create_results_dictionary( + estimator_results, estimator_names=estimator_names + ) if eval_name is None: dt = datetime.now().strftime("%Y-%m-%d_%H-%M-%S") @@ -1209,39 +1179,6 @@ def _evaluate_estimators( _summary_evaluation(stats, estimators, save_path, eval_name) -def _create_results_dictionary(estimator_results, estimator_names): - results_dict = {} - - for i, estimator_result in enumerate(estimator_results): - name = ( - estimator_result.estimator_name - if estimator_names is None - else estimator_names[i] - ) - - if results_dict.get(name) is None: - results_dict[name] = {} - - if results_dict[name].get(estimator_result.dataset_name) is None: - results_dict[name][estimator_result.dataset_name] = {} - - if ( - results_dict[name][estimator_result.dataset_name].get( - estimator_result.split.lower() - ) - is None - ): - results_dict[name][estimator_result.dataset_name][ - estimator_result.split.lower() - ] = {} - - results_dict[name][estimator_result.dataset_name][ - estimator_result.split.lower() - ][estimator_result.resample_id] = estimator_result - - return results_dict - - def _create_directory_for_statistic( estimators, datasets, @@ -1396,7 +1333,12 @@ def _figures_for_statistic( ) scatter, _ = plot_pairwise_scatter( - scores[:, i], scores[:, n], est1, est2, metric=statistic_name.upper() + scores[:, i], + scores[:, n], + est1, + est2, + metric=statistic_name.upper(), + lower_better=not higher_better, ) scatter.savefig( f"{save_path}/{statistic_name}/figures/scatters/{est1}/" diff --git a/tsml_eval/evaluation/reference_results.py b/tsml_eval/evaluation/reference_results.py new file mode 100644 index 00000000..e6fcb165 --- /dev/null +++ b/tsml_eval/evaluation/reference_results.py @@ -0,0 +1,14 @@ +"""Functions for evaluating with reference results.""" + +# from aeon.benchmarking.results_loaders import get_estimator_results +# +# def compare_classifiers_to_reference_results(reference_estimators): +# """Compare the results of all classifiers to the reference results.""" +# get_estimator_results( +# estimators=reference_estimators, +# datasets = UCR, +# default_only = True, +# task = "classification", +# measure = "accuracy", +# path = "http://timeseriesclassification.com/results/ReferenceResults", +# ) diff --git a/tsml_eval/evaluation/storage/classifier_results.py b/tsml_eval/evaluation/storage/classifier_results.py index d6597f3e..611c8a18 100644 --- a/tsml_eval/evaluation/storage/classifier_results.py +++ b/tsml_eval/evaluation/storage/classifier_results.py @@ -95,8 +95,7 @@ class ClassifierResults(EstimatorResults): ... "/classification/ROCKET/Predictions/Chinatown/testResample0.csv" ... ) >>> cr.calculate_statistics() - >>> cr.accuracy - 0.9795918367346939 + >>> acc = cr.accuracy """ def __init__( diff --git a/tsml_eval/evaluation/storage/clusterer_results.py b/tsml_eval/evaluation/storage/clusterer_results.py index 7f2d4383..c3c2b508 100644 --- a/tsml_eval/evaluation/storage/clusterer_results.py +++ b/tsml_eval/evaluation/storage/clusterer_results.py @@ -1,7 +1,7 @@ """Class for storing and loading results from a clustering experiment.""" import numpy as np -from aeon.performance_metrics.clustering import clustering_accuracy_score +from aeon.benchmarking.metrics.clustering import clustering_accuracy_score from numpy.testing import assert_allclose from sklearn.metrics import ( adjusted_mutual_info_score, @@ -92,8 +92,7 @@ class ClustererResults(EstimatorResults): ... "/clustering/KMeans/Predictions/Trace/trainResample0.csv" ... ) >>> cr.calculate_statistics() - >>> cr.clustering_accuracy - 0.57 + >>> acc = cr.clustering_accuracy """ def __init__( diff --git a/tsml_eval/evaluation/storage/forecaster_results.py b/tsml_eval/evaluation/storage/forecaster_results.py index 3bbbe113..f9753f3d 100644 --- a/tsml_eval/evaluation/storage/forecaster_results.py +++ b/tsml_eval/evaluation/storage/forecaster_results.py @@ -66,8 +66,7 @@ class ForecasterResults(EstimatorResults): ... "/forecasting/NaiveForecaster/Predictions/Airline/testResample0.csv" ... ) >>> fr.calculate_statistics() - >>> fr.mean_absolute_percentage_error - 0.19886711926999853 + >>> mape = fr.mean_absolute_percentage_error """ def __init__( @@ -277,7 +276,7 @@ def load_forecaster_results(file_path, calculate_stats=True, verify_values=True) pred_times[i] = float(line[3]) if pred_descriptions is not None: - pred_descriptions.append(",".join(line[5]).strip()) + pred_descriptions.append(",".join(line[5:]).strip()) fr = ForecasterResults( dataset_name=line1[0], diff --git a/tsml_eval/evaluation/storage/regressor_results.py b/tsml_eval/evaluation/storage/regressor_results.py index f7fbca58..18aafee3 100644 --- a/tsml_eval/evaluation/storage/regressor_results.py +++ b/tsml_eval/evaluation/storage/regressor_results.py @@ -89,9 +89,7 @@ class RegressorResults(EstimatorResults): ... "/regression/ROCKET/Predictions/Covid3Month/testResample0.csv" ... ) >>> rr.calculate_statistics() - >>> rr.mean_squared_error - 0.0015126663111567206 - + >>> mse = rr.mean_squared_error """ def __init__( @@ -333,7 +331,7 @@ def load_regressor_results(file_path, calculate_stats=True, verify_values=True): pred_times[i] = float(line[3]) if pred_descriptions is not None: - pred_descriptions.append(",".join(line[5]).strip()) + pred_descriptions.append(",".join(line[5:]).strip()) rr = RegressorResults( dataset_name=line1[0], diff --git a/tsml_eval/evaluation/storage/tests/test_io.py b/tsml_eval/evaluation/storage/tests/test_io.py index f904c307..38c562cf 100644 --- a/tsml_eval/evaluation/storage/tests/test_io.py +++ b/tsml_eval/evaluation/storage/tests/test_io.py @@ -2,6 +2,8 @@ import os +import pytest + from tsml_eval.evaluation.storage.classifier_results import ClassifierResults from tsml_eval.evaluation.storage.clusterer_results import ClustererResults from tsml_eval.evaluation.storage.forecaster_results import ForecasterResults @@ -82,3 +84,46 @@ def test_forecaster_results(): ) os.remove(_TEST_OUTPUT_PATH + "/forecasting/results_io/testResample0.csv") + + +results_classes = [ + ClassifierResults, + ClustererResults, + RegressorResults, + ForecasterResults, +] + + +@pytest.mark.parametrize( + "type,path", + [ + ( + ClassifierResults, + _TEST_RESULTS_PATH + + "/classification/ROCKET/Predictions/MinimalChinatown/testResample0.csv", + ), + ( + ClustererResults, + _TEST_RESULTS_PATH + + "/clustering/KMeans/Predictions/MinimalChinatown/trainResample0.csv", + ), + ( + RegressorResults, + _TEST_RESULTS_PATH + + "/regression/ROCKET/Predictions/MinimalGasPrices/testResample0.csv", + ), + ( + ForecasterResults, + _TEST_RESULTS_PATH + + "/forecasting/NaiveForecaster/Predictions/ShampooSales/testResample0.csv", + ), + ], +) +def test_invalid_tasks_fail_to_load(type, path): + """Test that loading into the wrong learning task class fails.""" + type().load_from_file(path) + invalid_types = [x for x in results_classes if x != type] + + for invalid_type in invalid_types: + with pytest.raises((ValueError, IndexError, AssertionError)): + invalid_type().load_from_file(path) diff --git a/tsml_eval/experiments/__init__.py b/tsml_eval/experiments/__init__.py index f8321fde..69dc400d 100644 --- a/tsml_eval/experiments/__init__.py +++ b/tsml_eval/experiments/__init__.py @@ -5,20 +5,25 @@ "load_and_run_classification_experiment", "run_clustering_experiment", "load_and_run_clustering_experiment", - "run_forecasting_experiment", - "load_and_run_forecasting_experiment", "run_regression_experiment", "load_and_run_regression_experiment", "get_classifier_by_name", "get_clusterer_by_name", - "get_forecaster_by_name", "get_regressor_by_name", + "get_data_transform_by_name", + "run_timing_experiment", "classification_cross_validation", "classification_cross_validation_folds", "regression_cross_validation", "regression_cross_validation_folds", + "classification_experiments_meta_learning", + "experiments_meta_learning", ] +from tsml_eval.experiments._get_classifier import get_classifier_by_name +from tsml_eval.experiments._get_clusterer import get_clusterer_by_name +from tsml_eval.experiments._get_data_transform import get_data_transform_by_name +from tsml_eval.experiments._get_regressor import get_regressor_by_name from tsml_eval.experiments.cross_validation import ( classification_cross_validation, classification_cross_validation_folds, @@ -28,14 +33,9 @@ from tsml_eval.experiments.experiments import ( load_and_run_classification_experiment, load_and_run_clustering_experiment, - load_and_run_forecasting_experiment, load_and_run_regression_experiment, run_classification_experiment, run_clustering_experiment, - run_forecasting_experiment, run_regression_experiment, ) -from tsml_eval.experiments.set_classifier import get_classifier_by_name -from tsml_eval.experiments.set_clusterer import get_clusterer_by_name -from tsml_eval.experiments.set_forecaster import get_forecaster_by_name -from tsml_eval.experiments.set_regressor import get_regressor_by_name +from tsml_eval.experiments.scalability import run_timing_experiment diff --git a/tsml_eval/experiments/set_classifier.py b/tsml_eval/experiments/_get_classifier.py similarity index 91% rename from tsml_eval/experiments/set_classifier.py rename to tsml_eval/experiments/_get_classifier.py index 9f213e84..90a57d2c 100644 --- a/tsml_eval/experiments/set_classifier.py +++ b/tsml_eval/experiments/_get_classifier.py @@ -1,13 +1,13 @@ -"""Set classifier function.""" +"""Get classifier function.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] from tsml_eval.utils.functions import str_in_nested_list convolution_based_classifiers = [ ["rocketclassifier", "rocket"], - ["minirocket", "mini-rocket"], - ["multirocket", "multi-rocket"], + ["minirocket", "mini-rocket", "minirocketclassifier"], + ["multirocket", "multi-rocket", "multirocketclassifier"], ["arsenalclassifier", "arsenal"], ["miniarsenal", "mini-arsenal"], ["multiarsenal", "multi-arsenal"], @@ -15,17 +15,18 @@ ["multirockethydraclassifier", "multirockethydra", "multirocket-hydra"], ] deep_learning_classifiers = [ - ["cnnclassifier", "cnn"], + ["timecnnclassifier", "timecnn", "cnnclassifier", "cnn"], ["fcnclassifier", "fcnn"], ["mlpclassifier", "mlp"], ["encoderclassifier", "encoder"], - ["tapnetclassifier", "tapnet"], ["resnetclassifier", "resnet"], ["individualinceptionclassifier", "singleinception"], ["inceptiontimeclassifier", "inceptiontime"], ["h-inceptiontimeclassifier", "h-inceptiontime"], ["litetimeclassifier", "litetime"], - ["timecnnclassifier", "timecnn"], + "litetime-mv", + ["individualliteclassifier", "individuallite"], + ["disjointcnnclassifier", "disjointcnn"], ] dictionary_based_classifiers = [ ["bossensemble", "boss"], @@ -40,6 +41,7 @@ ["weasel_v2", "weaseldilation", "weasel-dilation", "weasel-d"], "redcomets", "redcomets-500", + ["mrseqlclassifier", "mrseql"], ["mrsqmclassifier", "mrsqm"], ] distance_based_classifiers = [ @@ -85,6 +87,7 @@ "summary-intervals", ["randomintervals-500", "catch22-intervals-500"], ["randomintervalclassifier", "randomintervals", "catch22-intervals"], + ["supervisedintervalclassifier", "supervisedintervals"], ["quantclassifier", "quant"], ] other_classifiers = [ @@ -99,6 +102,7 @@ ["randomshapeletforestclassifier", "randomshapeletforest", "rsf"], ["sastclassifier", "sast"], ["rsastclassifier", "rsast"], + ["learningshapeletclassifier", "ls"], ] vector_classifiers = [ ["rotationforestclassifier", "rotationforest", "rotf"], @@ -189,7 +193,7 @@ def get_classifier_by_name( c, random_state, n_jobs, fit_contract, checkpoint, kwargs ) else: - raise ValueError(f"UNKNOWN CLASSIFIER: {c} in set_classifier") + raise ValueError(f"UNKNOWN CLASSIFIER: {c} in get_classifier_by_name") def _set_classifier_convolution_based( @@ -199,20 +203,18 @@ def _set_classifier_convolution_based( from aeon.classification.convolution_based import RocketClassifier return RocketClassifier(random_state=random_state, n_jobs=n_jobs, **kwargs) - elif c == "minirocket" or c == "mini-rocket": - from aeon.classification.convolution_based import RocketClassifier + elif c == "minirocket" or c == "mini-rocket" or "minirocketclassifier": + from aeon.classification.convolution_based import MiniRocketClassifier - return RocketClassifier( - rocket_transform="minirocket", + return MiniRocketClassifier( random_state=random_state, n_jobs=n_jobs, **kwargs, ) - elif c == "multirocket" or c == "multi-rocket": - from aeon.classification.convolution_based import RocketClassifier + elif c == "multirocket" or c == "multi-rocket" or "multirocketclassifier": + from aeon.classification.convolution_based import MultiRocketClassifier - return RocketClassifier( - rocket_transform="multirocket", + return MultiRocketClassifier( random_state=random_state, n_jobs=n_jobs, **kwargs, @@ -265,10 +267,10 @@ def _set_classifier_convolution_based( def _set_classifier_deep_learning( c, random_state, n_jobs, fit_contract, checkpoint, kwargs ): - if c == "cnnclassifier" or c == "cnn": - from aeon.classification.deep_learning import CNNClassifier + if c == "timecnnclassifier" or c == "timecnn" or c == "cnnclassifier" or c == "cnn": + from aeon.classification.deep_learning import TimeCNNClassifier - return CNNClassifier(random_state=random_state, **kwargs) + return TimeCNNClassifier(random_state=random_state, **kwargs) elif c == "fcnclassifier" or c == "fcnn": from aeon.classification.deep_learning import FCNClassifier @@ -281,10 +283,6 @@ def _set_classifier_deep_learning( from aeon.classification.deep_learning import EncoderClassifier return EncoderClassifier(random_state=random_state, **kwargs) - elif c == "tapnetclassifier" or c == "tapnet": - from aeon.classification.deep_learning import TapNetClassifier - - return TapNetClassifier(random_state=random_state, **kwargs) elif c == "resnetclassifier" or c == "resnet": from aeon.classification.deep_learning import ResNetClassifier @@ -307,10 +305,18 @@ def _set_classifier_deep_learning( from aeon.classification.deep_learning import LITETimeClassifier return LITETimeClassifier(random_state=random_state, **kwargs) - elif c == "timecnnclassifier" or c == "timecnn": - from aeon.classification.deep_learning import TimeCNNClassifier + elif c == "litetime-mv": + from aeon.classification.deep_learning import LITETimeClassifier - return TimeCNNClassifier(random_state=random_state, **kwargs) + return LITETimeClassifier(use_litemv=True, random_state=random_state, **kwargs) + elif c == "individualliteclassifier" or c == "individuallite": + from aeon.classification.deep_learning import IndividualLITEClassifier + + return IndividualLITEClassifier(random_state=random_state, **kwargs) + elif c == "disjointcnnclassifier" or c == "disjointcnn": + from aeon.classification.deep_learning import DisjointCNNClassifier + + return DisjointCNNClassifier(random_state=random_state, **kwargs) def _set_classifier_dictionary_based( @@ -403,6 +409,10 @@ def _set_classifier_dictionary_based( return REDCOMETS( n_trees=500, random_state=random_state, n_jobs=n_jobs, **kwargs ) + elif c == "mrseqlclassifier" or c == "mrseql": + from aeon.classification.dictionary_based import MrSEQLClassifier + + return MrSEQLClassifier(**kwargs) elif c == "mrsqmclassifier" or c == "mrsqm": from aeon.classification.dictionary_based import MrSQMClassifier @@ -652,13 +662,11 @@ def _set_classifier_interval_based( ) elif c == "summary-intervals": from aeon.classification.interval_based import RandomIntervalClassifier - from aeon.transformations.collection.feature_based import ( - SevenNumberSummaryTransformer, - ) + from aeon.transformations.collection.feature_based import SevenNumberSummary from sklearn.ensemble import RandomForestClassifier return RandomIntervalClassifier( - features=SevenNumberSummaryTransformer(), + features=SevenNumberSummary(), estimator=RandomForestClassifier(n_estimators=500), random_state=random_state, n_jobs=n_jobs, @@ -684,6 +692,12 @@ def _set_classifier_interval_based( return RandomIntervalClassifier( random_state=random_state, n_jobs=n_jobs, **kwargs ) + elif c == "supervisedintervalclassifier" or c == "supervisedintervals": + from aeon.classification.interval_based import SupervisedIntervalClassifier + + return SupervisedIntervalClassifier( + random_state=random_state, n_jobs=n_jobs, **kwargs + ) elif c == "quantclassifier" or c == "quant": from aeon.classification.interval_based import QUANTClassifier @@ -748,11 +762,15 @@ def _set_classifier_shapelet_based( from aeon.classification.shapelet_based import RSASTClassifier return RSASTClassifier(seed=random_state, n_jobs=n_jobs, **kwargs) + elif c == "learningshapeletclassifier" or c == "ls": + from aeon.classification.shapelet_based import LearningShapeletClassifier + + return LearningShapeletClassifier(random_state=random_state, **kwargs) def _set_classifier_vector(c, random_state, n_jobs, fit_contract, checkpoint, kwargs): if c == "rotationforestclassifier" or c == "rotationforest" or c == "rotf": - from tsml.vector import RotationForestClassifier + from aeon.classification.sklearn import RotationForestClassifier return RotationForestClassifier( random_state=random_state, diff --git a/tsml_eval/experiments/set_clusterer.py b/tsml_eval/experiments/_get_clusterer.py similarity index 70% rename from tsml_eval/experiments/set_clusterer.py rename to tsml_eval/experiments/_get_clusterer.py index d0194d1d..3e52a372 100644 --- a/tsml_eval/experiments/set_clusterer.py +++ b/tsml_eval/experiments/_get_clusterer.py @@ -1,15 +1,19 @@ -"""Set classifier function.""" +"""Get clusterer function.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import numpy as np from aeon.clustering import ( + ElasticSOM, + KSpectralCentroid, TimeSeriesCLARA, TimeSeriesCLARANS, + TimeSeriesKernelKMeans, TimeSeriesKMeans, TimeSeriesKMedoids, + TimeSeriesKShape, ) -from aeon.transformations.collection import TimeSeriesScaler +from aeon.transformations.collection import Normalizer from sklearn.cluster import KMeans from tsml_eval.utils.datasets import load_experiment_data @@ -18,6 +22,10 @@ deep_learning_clusterers = [ ["aefcnclusterer", "aefcn"], ["aeresnetclusterer", "aeresnet"], + ["aeattentionbigruclusterer", "aeattentionbigru"], + ["aebigruclusterer", "aebigru"], + ["aedcnnclusterer", "aedcnn"], + ["aedrnnclusterer", "aedrnn"], ] distance_based_clusterers = [ "kmeans-euclidean", @@ -106,18 +114,34 @@ "kmeans-ssg-ba-msm", "kmeans-ssg-ba-adtw", "kmeans-ssg-ba-shape_dtw", + "som-dtw", + "som-ddtw", + "som-wdtw", + "som-wddtw", + "som-lcss", + "som-erp", + "som-edr", + "som-twe", + "som-msm", + "som-adtw", + "som-shape_dtw", + "som-soft_dtw", + "ksc", + "kshape", "timeserieskmeans", "timeserieskmedoids", "timeseriesclarans", "timeseriesclara", + "elasticsom", + "kspectralcentroid", + "timeserieskshape", + "timeserieskernelkmeans", ] - feature_based_clusterers = [ ["catch22", "catch22clusterer"], ["tsfresh", "tsfreshclusterer"], ["summary", "summaryclusterer"], ] - other_clusterers = [ ["dummyclusterer", "dummy", "dummyclusterer-tsml"], "dummyclusterer-aeon", @@ -202,7 +226,7 @@ def get_clusterer_by_name( c, random_state, n_jobs, fit_contract, checkpoint, kwargs ) else: - raise ValueError(f"UNKNOWN CLUSTERER: {c} in set_clusterer") + raise ValueError(f"UNKNOWN CLUSTERER: {c} in get_clusterer_by_name") def _set_clusterer_deep_learning( @@ -211,11 +235,51 @@ def _set_clusterer_deep_learning( if c == "aefcnclusterer" or c == "aefcn": from aeon.clustering.deep_learning import AEFCNClusterer - return AEFCNClusterer(n_clusters=-1, random_state=random_state, **kwargs) + return AEFCNClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) elif c == "aeresnetclusterer" or c == "aeresnet": from aeon.clustering.deep_learning import AEResNetClusterer - return AEResNetClusterer(n_clusters=-1, random_state=random_state, **kwargs) + return AEResNetClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) + elif c == "aeattentionbigruclusterer" or c == "aeattentionbigru": + from aeon.clustering.deep_learning import AEAttentionBiGRUClusterer + + return AEAttentionBiGRUClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) + elif c == "aebigruclusterer" or c == "aebigru": + from aeon.clustering.deep_learning import AEBiGRUClusterer + + return AEBiGRUClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) + elif c == "aedcnnclusterer" or c == "aedcnn": + from aeon.clustering.deep_learning import AEDCNNClusterer + + return AEDCNNClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) + elif c == "aedrnnclusterer" or c == "aedrnn": + from aeon.clustering.deep_learning import AEDRNNClusterer + + return AEDRNNClusterer( + estimator=TimeSeriesKMeans(distance="euclidean", averaging_method="mean"), + random_state=random_state, + **kwargs, + ) def _set_clusterer_distance_based( @@ -236,7 +300,11 @@ def _set_clusterer_distance_based( if "distance" in kwargs: distance = kwargs["distance"] else: - distance = c.split("-")[-1] + if "-" not in c: + print("No distance metric specified, using default DTW") # noqa: T201 + distance = "dtw" + else: + distance = c.split("-")[-1] if "distance_params" in kwargs: distance_params = kwargs["distance_params"] @@ -260,7 +328,7 @@ def _set_clusterer_distance_based( return TimeSeriesKMeans( max_iter=50, n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -272,7 +340,7 @@ def _set_clusterer_distance_based( return TimeSeriesKMeans( max_iter=50, n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -284,7 +352,7 @@ def _set_clusterer_distance_based( return TimeSeriesKMeans( max_iter=50, n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -295,7 +363,7 @@ def _set_clusterer_distance_based( return TimeSeriesKMedoids( max_iter=50, n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -306,7 +374,7 @@ def _set_clusterer_distance_based( return TimeSeriesKMedoids( max_iter=50, n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -316,7 +384,7 @@ def _set_clusterer_distance_based( elif "clarans" in c or "timeseriesclarans" in c: return TimeSeriesCLARANS( n_init=10, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, @@ -325,13 +393,54 @@ def _set_clusterer_distance_based( elif "clara" in c or "timeseriesclara" in c: return TimeSeriesCLARA( max_iter=50, - init_algorithm=init_algorithm, + init=init_algorithm, distance=distance, distance_params=distance_params, random_state=random_state, **kwargs, ) - return None + elif "som" in c or "elasticsom" in c: + return ElasticSOM( + distance=distance, + init="random", + sigma=1.0, + learning_rate=0.5, + decay_function="asymptotic_decay", + neighborhood_function="gaussian", + sigma_decay_function="asymptotic_decay", + num_iterations=500, + distance_params=distance_params, + random_state=random_state, + verbose=False, + ) + elif "ksc" in c or "kspectralcentroid" in c: + return KSpectralCentroid( + # Max shift set to n_timepoints when max_shift is None + max_shift=None, + max_iter=50, + init=init_algorithm, + tol=1e-06, + random_state=random_state, + **kwargs, + ) + elif "kshape" in c or "timeserieskshape" in c: + return TimeSeriesKShape( + init=init_algorithm, + max_iter=50, + n_init=10, + tol=1e-06, + random_state=random_state, + **kwargs, + ) + elif c == "timeserieskernelkmeans" or c == "kernelkmeans": + return TimeSeriesKernelKMeans( + max_iter=50, + n_init=10, + tol=1e-06, + random_state=random_state, + n_jobs=n_jobs, + **kwargs, + ) def _get_distance_default_params( @@ -349,7 +458,7 @@ def _get_distance_default_params( # cant handle unequal length series if isinstance(X_train, np.ndarray): if row_normalise: - scaler = TimeSeriesScaler() + scaler = Normalizer() X_train = scaler.fit_transform(X_train) return {"g": X_train.std(axis=0).sum()} @@ -377,29 +486,33 @@ def _set_clusterer_feature_based( if c == "catch22" or c == "catch22clusterer": from aeon.clustering.feature_based import Catch22Clusterer - return Catch22Clusterer(random_state=random_state, n_jobs=n_jobs, **kwargs) + return Catch22Clusterer( + estimator=KMeans(), random_state=random_state, n_jobs=n_jobs, **kwargs + ) elif c == "tsfresh" or c == "tsfreshclusterer": from aeon.clustering.feature_based import TSFreshClusterer - return TSFreshClusterer(random_state=random_state, n_jobs=n_jobs, **kwargs) + return TSFreshClusterer( + estimator=KMeans(), random_state=random_state, n_jobs=n_jobs, **kwargs + ) elif c == "summary" or c == "summaryclusterer": from aeon.clustering.feature_based import SummaryClusterer - return SummaryClusterer(random_state=random_state, n_jobs=n_jobs, **kwargs) + return SummaryClusterer( + estimator=KMeans(), random_state=random_state, n_jobs=n_jobs, **kwargs + ) def _set_clusterer_other(c, random_state, n_jobs, fit_contract, checkpoint, kwargs): if c == "dummyclusterer" or c == "dummy" or c == "dummyclusterer-tsml": from tsml.dummy import DummyClusterer - return DummyClusterer( - strategy="random", n_clusters=1, random_state=random_state, **kwargs - ) + return DummyClusterer(strategy="random", random_state=random_state, **kwargs) elif c == "dummyclusterer-aeon": return TimeSeriesKMeans( n_clusters=1, n_init=1, - init_algorithm="random", + init="random", distance="euclidean", max_iter=1, random_state=random_state, @@ -407,7 +520,6 @@ def _set_clusterer_other(c, random_state, n_jobs, fit_contract, checkpoint, kwar ) elif c == "dummyclusterer-sklearn": return KMeans( - n_clusters=1, n_init=1, init="random", max_iter=1, diff --git a/tsml_eval/experiments/_get_data_transform.py b/tsml_eval/experiments/_get_data_transform.py new file mode 100644 index 00000000..1b1d74cc --- /dev/null +++ b/tsml_eval/experiments/_get_data_transform.py @@ -0,0 +1,71 @@ +"""get data transformer function.""" + +__maintainer__ = ["MatthewMiddlehurst"] + +from aeon.transformations.collection import Normalizer + +from tsml_eval.utils.functions import str_in_nested_list + +transformers = [ + ["normalizer", "normaliser"], + "padder", +] + + +def get_data_transform_by_name( + transformer_names, + row_normalise=False, + random_state=None, + n_jobs=1, +): + """Return a transformers matching a given input name(s). + + Parameters + ---------- + transformer_names : str or list of str + String or list of strings indicating the transformer(s) to be returned. + row_normalise : bool, default=False + Adds a Normalizer to the front of the transformer list. + random_state : int, RandomState instance or None, default=None + Random seed or RandomState object to be used in the classifier if available. + n_jobs: int, default=1 + The number of jobs to run in parallel for both classifier ``fit`` and + ``predict`` if available. `-1` means using all processors. + + Return + ------ + transformers : A transformer or list of transformers. + The transformer(s) matching the input transformer name(s). Returns a list if + more than one transformer is requested. + """ + if transformer_names is None and not row_normalise: + return None + + t_list = [] + if row_normalise: + t_list.append(Normalizer()) + + if transformer_names is not None: + if not isinstance(transformer_names, list): + transformer_names = [transformer_names] + + for transformer_name in transformer_names: + t = transformer_name.casefold() + + if str_in_nested_list(transformers, t): + t_list.append(_set_transformer(t, random_state, n_jobs)) + else: + raise ValueError( + f"UNKNOWN TRANSFORMER: {t} in get_data_transform_by_name" + ) + + return t_list if len(t_list) > 1 else t_list[0] + + +def _set_transformer(t, random_state, n_jobs): + if t == "normalizer" or t == "normaliser": + return Normalizer() + elif t == "padder": + from aeon.transformations.collection import Padder + + return Padder() diff --git a/tsml_eval/experiments/set_forecaster.py b/tsml_eval/experiments/_get_forecaster.py similarity index 67% rename from tsml_eval/experiments/set_forecaster.py rename to tsml_eval/experiments/_get_forecaster.py index 904c11db..b1b3a4a9 100644 --- a/tsml_eval/experiments/set_forecaster.py +++ b/tsml_eval/experiments/_get_forecaster.py @@ -1,14 +1,16 @@ """Set forecaster function.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] -from aeon.forecasting.naive import NaiveForecaster +from aeon.forecasting import DummyForecaster, ETSForecaster from tsml_eval.utils.functions import str_in_nested_list -# ml_forecasters = [] +stats_forecasters = [ + ["etsforecaster", "ets"], +] other_forecasters = [ - ["naiveforecaster", "naive"], + ["dummyforecaster", "dummy"], ] @@ -41,18 +43,19 @@ def get_forecaster_by_name(forecaster_name, random_state=None, n_jobs=1, **kwarg """ f = forecaster_name.lower() - # if str_in_nested_list(ml_forecasters, f): - # return _set_forecaster_ml(f, random_state, n_jobs, kwargs) - if str_in_nested_list(other_forecasters, f): + if str_in_nested_list(stats_forecasters, f): + return _set_forecaster_stats(f, random_state, n_jobs, kwargs) + elif str_in_nested_list(other_forecasters, f): return _set_forecaster_other(f, random_state, n_jobs, kwargs) else: - raise ValueError(f"UNKNOWN FORECASTER: {f} in set_forecaster") + raise ValueError(f"UNKNOWN FORECASTER: {f} in get_forecaster_by_name") -# def _set_forecaster_ml(f, random_state, n_jobs, kwargs): -# pass +def _set_forecaster_stats(f, random_state, n_jobs, kwargs): + if f == "etsforecaster" or f == "ets": + return ETSForecaster(**kwargs) def _set_forecaster_other(f, random_state, n_jobs, kwargs): - if f == "naiveforecaster" or f == "naive": - return NaiveForecaster(**kwargs) + if f == "dummyforecaster" or f == "dummy": + return DummyForecaster(**kwargs) diff --git a/tsml_eval/experiments/set_regressor.py b/tsml_eval/experiments/_get_regressor.py similarity index 93% rename from tsml_eval/experiments/set_regressor.py rename to tsml_eval/experiments/_get_regressor.py index 251c00c5..684bd149 100644 --- a/tsml_eval/experiments/set_regressor.py +++ b/tsml_eval/experiments/_get_regressor.py @@ -1,6 +1,6 @@ """Set regressor function.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import numpy as np @@ -8,23 +8,23 @@ convolution_based_regressors = [ ["rocketregressor", "rocket"], - ["minirocket", "minirocketregressor"], - ["multirocket", "multirocketregressor"], + ["minirocket", "mini-rocket", "minirocketregressor"], + ["multirocket", "multi-rocket", "multirocketregressor"], ["hydraregressor", "hydra"], ["multirockethydraregressor", "multirockethydra", "multirocket-hydra"], ] deep_learning_regressors = [ - ["cnnregressor", "cnn"], + ["timecnnregressor", "timecnn", "cnnregressor", "cnn"], ["fcnregressor", "fcnn", "fcn"], ["mlpregressor", "mlp"], ["encoderregressor", "encoder"], - ["tapnetregressor", "tapnet"], ["resnetregressor", "resnet"], ["individualinceptionregressor", "singleinception", "individualinception"], ["inceptiontimeregressor", "inception", "inceptiontime"], ["h-inceptiontimeregressor", "h-inceptiontime"], ["litetimeregressor", "litetime"], - ["timecnnregressor", "timecnn"], + ["individualliteregressor", "individuallite"], + ["disjointcnnregressor", "disjointcnn"], ] distance_based_regressors = [ "1nn-ed", @@ -165,7 +165,7 @@ def get_regressor_by_name( r, random_state, n_jobs, fit_contract, checkpoint, kwargs ) else: - raise ValueError(f"UNKNOWN REGRESSOR: {r} in set_regressor") + raise ValueError(f"UNKNOWN REGRESSOR: {r} in get_regressor_by_name") def _set_regressor_convolution_based( @@ -175,20 +175,18 @@ def _set_regressor_convolution_based( from aeon.regression.convolution_based import RocketRegressor return RocketRegressor(random_state=random_state, n_jobs=n_jobs, **kwargs) - elif r == "minirocket" or r == "minirocketregressor": - from aeon.regression.convolution_based import RocketRegressor + elif r == "minirocket" or r == "mini-rocket" or r == "minirocketregressor": + from aeon.regression.convolution_based import MiniRocketRegressor - return RocketRegressor( - rocket_transform="minirocket", + return MiniRocketRegressor( random_state=random_state, n_jobs=n_jobs, **kwargs, ) - elif r == "multirocket" or r == "multirocketregressor": - from aeon.regression.convolution_based import RocketRegressor + elif r == "multirocket" or r == "multi-rocket" or r == "multirocketregressor": + from aeon.regression.convolution_based import MultiRocketRegressor - return RocketRegressor( - rocket_transform="multirocket", + return MultiRocketRegressor( random_state=random_state, n_jobs=n_jobs, **kwargs, @@ -212,10 +210,10 @@ def _set_regressor_convolution_based( def _set_regressor_deep_learning( r, random_state, n_jobs, fit_contract, checkpoint, kwargs ): - if r == "cnnregressor" or r == "cnn": - from aeon.regression.deep_learning import CNNRegressor + if r == "timecnnregressor" or r == "timecnn" or r == "cnnregressor" or r == "cnn": + from aeon.regression.deep_learning import TimeCNNRegressor - return CNNRegressor(random_state=random_state, **kwargs) + return TimeCNNRegressor(random_state=random_state, **kwargs) elif r == "fcnregressor" or r == "fcnn" or r == "fcn": from aeon.regression.deep_learning import FCNRegressor @@ -228,10 +226,6 @@ def _set_regressor_deep_learning( from aeon.regression.deep_learning import EncoderRegressor return EncoderRegressor(random_state=random_state, **kwargs) - elif r == "tapnetregressor" or r == "tapnet": - from aeon.regression.deep_learning import TapNetRegressor - - return TapNetRegressor(random_state=random_state, **kwargs) elif r == "resnetregressor" or r == "resnet": from aeon.regression.deep_learning import ResNetRegressor @@ -259,10 +253,14 @@ def _set_regressor_deep_learning( from aeon.regression.deep_learning import LITETimeRegressor return LITETimeRegressor(random_state=random_state, **kwargs) - elif r == "timecnnregressor" or r == "timecnn": - from aeon.regression.deep_learning import TimeCNNRegressor + elif r == "individualliteregressor" or r == "individuallite": + from aeon.regression.deep_learning import IndividualLITERegressor - return TimeCNNRegressor(random_state=random_state, **kwargs) + return IndividualLITERegressor(random_state=random_state, **kwargs) + elif r == "disjointcnnregressor" or r == "disjointcnn": + from aeon.regression.deep_learning import DisjointCNNRegressor + + return DisjointCNNRegressor(random_state=random_state, **kwargs) def _set_regressor_distance_based( @@ -485,13 +483,11 @@ def _set_regressor_interval_based( ) elif r == "summary-intervals": from aeon.regression.interval_based import RandomIntervalRegressor - from aeon.transformations.collection.feature_based import ( - SevenNumberSummaryTransformer, - ) + from aeon.transformations.collection.feature_based import SevenNumberSummary from sklearn.ensemble import RandomForestRegressor return RandomIntervalRegressor( - features=SevenNumberSummaryTransformer(), + features=SevenNumberSummary(), estimator=RandomForestRegressor(n_estimators=500), random_state=random_state, n_jobs=n_jobs, diff --git a/tsml_eval/experiments/classification_experiments.py b/tsml_eval/experiments/classification_experiments.py index 943a7efc..17a979e3 100644 --- a/tsml_eval/experiments/classification_experiments.py +++ b/tsml_eval/experiments/classification_experiments.py @@ -4,7 +4,7 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import os import sys @@ -18,8 +18,11 @@ import numba from aeon.utils.validation._dependencies import _check_soft_dependencies -from tsml_eval.experiments import load_and_run_classification_experiment -from tsml_eval.experiments.set_classifier import get_classifier_by_name +from tsml_eval.experiments import ( + get_classifier_by_name, + get_data_transform_by_name, + load_and_run_classification_experiment, +) from tsml_eval.experiments.tests import _CLASSIFIER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -81,15 +84,25 @@ def run_experiment(args): checkpoint=args.checkpoint, **args.kwargs, ), - row_normalise=args.row_normalise, classifier_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=1, + ), build_train_file=args.train_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, benchmark_time=args.benchmark_time, overwrite=args.overwrite, predefined_resample=args.predefined_resample, + test_oversampling_methods=args.test_oversampling_methods, ) # local run (no args) else: @@ -101,6 +114,7 @@ def run_experiment(args): estimator_name = "ROCKET" dataset_name = "MinimalChinatown" row_normalise = False + transform_name = None resample_id = 0 train_fold = False write_attributes = True @@ -120,6 +134,11 @@ def run_experiment(args): checkpoint=checkpoint, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + ) print(f"Local Run of {estimator_name} ({classifier.__class__.__name__}).") load_and_run_classification_experiment( @@ -127,9 +146,9 @@ def run_experiment(args): results_path, dataset_name, classifier, - row_normalise=row_normalise, classifier_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_train_file=train_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/experiments/classification_experiments_meta_learning.py b/tsml_eval/experiments/classification_experiments_meta_learning.py new file mode 100644 index 00000000..e929b73a --- /dev/null +++ b/tsml_eval/experiments/classification_experiments_meta_learning.py @@ -0,0 +1,152 @@ +"""Classification Experiments: code for experiments as an alternative to orchestration. + +This file is configured for runs of the main method with command line arguments, or for +single debugging runs. Results are written in a standard tsml format. +modified for meta-learning imbalanced classification problem +""" + +__author__ = ["TonyBagnall", "MatthewMiddlehurst", "ChrisQiu"] + +import os +import sys + +os.environ["MKL_NUM_THREADS"] = "1" # must be done before numpy import!! +os.environ["NUMEXPR_NUM_THREADS"] = "1" # must be done before numpy import!! +os.environ["OMP_NUM_THREADS"] = "1" # must be done before numpy import!! +os.environ["TF_NUM_INTEROP_THREADS"] = "1" +os.environ["TF_NUM_INTRAOP_THREADS"] = "1" + +import numba +from aeon.utils.validation._dependencies import _check_soft_dependencies + +from tsml_eval.experiments.experiments_meta_learning import ( + load_and_run_classification_experiment_ml, +) +from tsml_eval.experiments.set_classifier import get_classifier_by_name +from tsml_eval.experiments.tests import _CLASSIFIER_RESULTS_PATH +from tsml_eval.testing.testing_utils import _TEST_DATA_PATH +from tsml_eval.utils.arguments import parse_args +from tsml_eval.utils.experiments import _results_present, assign_gpu + + +def run_experiment_ml(args): + """Mechanism for testing classifiers on the UCR data format. + + This mirrors the mechanism used in the Java based tsml. Results generated using the + method are in the same format as tsml and can be directly compared to the results + generated in Java. + + Attempts to avoid the use of threading as much as possible. + """ + numba.set_num_threads(1) + if _check_soft_dependencies("torch", severity="none"): + import torch + + torch.set_num_threads(1) + + # if multiple GPUs are available, assign the one with the least usage to the process + if os.environ.get("CUDA_VISIBLE_DEVICES") is None: + try: + gpu = assign_gpu(set_environ=True) + print(f"Assigned GPU {gpu} to process.") # pragma: no cover + except Exception: + print("Unable to assign GPU to process.") + + # cluster run (with args), this is fragile + if args is not None and args.__len__() > 0: + print("Input args = ", args) + args = parse_args(args) + + # this is also checked in load_and_run, but doing a quick check here so can + # print a message and make sure data is not loaded + if not args.overwrite and _results_present( + args.results_path, + args.estimator_name, + args.dataset_name, + resample_id=args.resample_id, + split="BOTH" if args.train_fold else "TEST", + ): + print("Ignoring, results already present") + else: + load_and_run_classification_experiment_ml( + args.data_path, + args.results_path, + args.dataset_name, + get_classifier_by_name( + args.estimator_name, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=1, + fit_contract=args.fit_contract, + checkpoint=args.checkpoint, + **args.kwargs, + ), + row_normalise=args.row_normalise, + classifier_name=args.estimator_name, + resample_id=args.resample_id, + build_train_file=args.train_fold, + write_attributes=args.write_attributes, + att_max_shape=args.att_max_shape, + benchmark_time=args.benchmark_time, + overwrite=args.overwrite, + predefined_resample=args.predefined_resample, + test_oversampling_methods=args.test_oversampling_methods, + imbalance_ratio=args.imbalance_ratio, + ) + # local run (no args) + else: + # These are example parameters, change as required for local runs + # Do not include paths to your local directories here in PRs + # If threading is required, see the threaded version of this file + data_path = _TEST_DATA_PATH + results_path = _CLASSIFIER_RESULTS_PATH + estimator_name = "Meta" + dataset_name = "MinimalChinatown" + row_normalise = False + resample_id = 0 + train_fold = False + write_attributes = True + att_max_shape = 0 + benchmark_time = True + overwrite = False + predefined_resample = False + fit_contract = 0 + checkpoint = None + kwargs = {} + + classifier = get_classifier_by_name( + estimator_name, + random_state=resample_id, + n_jobs=1, + fit_contract=fit_contract, + checkpoint=checkpoint, + **kwargs, + ) + print(f"Local Run of {estimator_name} ({classifier.__class__.__name__}).") + + load_and_run_classification_experiment_ml( + data_path, + results_path, + dataset_name, + classifier, + row_normalise=row_normalise, + classifier_name=estimator_name, + resample_id=resample_id, + build_train_file=train_fold, + write_attributes=write_attributes, + att_max_shape=att_max_shape, + benchmark_time=benchmark_time, + overwrite=overwrite, + predefined_resample=predefined_resample, + ) + + +if __name__ == "__main__": + """ + Example simple usage, with arguments input via script or hard coded for testing. + """ + print("Running classification_experiments.py main") + run_experiment_ml(sys.argv[1:]) diff --git a/tsml_eval/experiments/clustering_experiments.py b/tsml_eval/experiments/clustering_experiments.py index e2777eb7..3f501add 100644 --- a/tsml_eval/experiments/clustering_experiments.py +++ b/tsml_eval/experiments/clustering_experiments.py @@ -4,7 +4,7 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import os import sys @@ -18,8 +18,11 @@ import numba from aeon.utils.validation._dependencies import _check_soft_dependencies -from tsml_eval.experiments import load_and_run_clustering_experiment -from tsml_eval.experiments.set_clusterer import get_clusterer_by_name +from tsml_eval.experiments import ( + get_clusterer_by_name, + get_data_transform_by_name, + load_and_run_clustering_experiment, +) from tsml_eval.experiments.tests import _CLUSTERER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -88,10 +91,19 @@ def run_experiment(args): row_normalise=args.row_normalise, **args.kwargs, ), - row_normalise=args.row_normalise, n_clusters=args.n_clusters, clusterer_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=1, + ), build_test_file=args.test_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, @@ -110,6 +122,7 @@ def run_experiment(args): estimator_name = "KMeans" dataset_name = "MinimalChinatown" row_normalise = False + transform_name = None n_clusters = -1 resample_id = 0 test_fold = False @@ -133,6 +146,11 @@ def run_experiment(args): row_normalise=row_normalise, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + ) print(f"Local Run of {estimator_name} ({clusterer.__class__.__name__}).") load_and_run_clustering_experiment( @@ -140,10 +158,10 @@ def run_experiment(args): results_path, dataset_name, clusterer, - row_normalise=row_normalise, n_clusters=n_clusters, clusterer_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_test_file=test_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/experiments/cross_validation.py b/tsml_eval/experiments/cross_validation.py index 14123513..b8d2090f 100644 --- a/tsml_eval/experiments/cross_validation.py +++ b/tsml_eval/experiments/cross_validation.py @@ -1,6 +1,6 @@ """Functions for running experiments using cross-validation.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = [ "classification_cross_validation", "classification_cross_validation_folds", @@ -24,7 +24,6 @@ def classification_cross_validation( results_path, cv=None, fold_ids=None, - row_normalise=False, classifier_name=None, dataset_name="N/A", build_test_file=True, @@ -108,7 +107,6 @@ def classification_cross_validation( y[test], estimator, results_path, - row_normalise=row_normalise, classifier_name=classifier_name, dataset_name=dataset_name, resample_id=fold, @@ -155,7 +153,6 @@ def regression_cross_validation( results_path, cv=None, fold_ids=None, - row_normalise=False, regressor_name=None, dataset_name="", build_test_file=True, @@ -229,7 +226,6 @@ def regression_cross_validation( y[test], estimator, results_path, - row_normalise=row_normalise, regressor_name=regressor_name, dataset_name=dataset_name, resample_id=fold, diff --git a/tsml_eval/experiments/experiments.py b/tsml_eval/experiments/experiments.py index ecc71d27..8f9a1607 100644 --- a/tsml_eval/experiments/experiments.py +++ b/tsml_eval/experiments/experiments.py @@ -3,7 +3,7 @@ Results are saved a standardised format used by tsml. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] __all__ = [ "run_classification_experiment", "load_and_run_classification_experiment", @@ -19,15 +19,15 @@ import time import warnings from datetime import datetime +from typing import Optional, Union import numpy as np import pandas as pd +from aeon.benchmarking.metrics.clustering import clustering_accuracy_score from aeon.classification import BaseClassifier from aeon.clustering import BaseClusterer -from aeon.forecasting.base import BaseForecaster -from aeon.performance_metrics.clustering import clustering_accuracy_score +from aeon.forecasting import BaseForecaster from aeon.regression.base import BaseRegressor -from aeon.transformations.collection import TimeSeriesScaler from sklearn import preprocessing from sklearn.base import BaseEstimator, is_classifier, is_regressor from sklearn.metrics import ( @@ -51,7 +51,12 @@ timing_benchmark, ) from tsml_eval.utils.memory_recorder import record_max_memory -from tsml_eval.utils.resampling import resample_data, stratified_resample_data +from tsml_eval.utils.oversampling_methods import SMOTE_FAMILY +from tsml_eval.utils.resampling import ( + make_imbalance, + resample_data, + stratified_resample_data, +) from tsml_eval.utils.results_writing import ( write_classification_results, write_clustering_results, @@ -59,24 +64,24 @@ write_regression_results, ) -if os.getenv("MEMRECORD_INTERVAL") is not None: # pragma: no cover - TEMP = os.getenv("MEMRECORD_INTERVAL") - MEMRECORD_INTERVAL = float(TEMP) if isinstance(TEMP, str) else 5.0 +MEMRECORD_ENV = os.getenv("MEMRECORD_INTERVAL") +if isinstance(MEMRECORD_ENV, str): # pragma: no cover + MEMRECORD_INTERVAL = float(MEMRECORD_ENV) else: MEMRECORD_INTERVAL = 5.0 def run_classification_experiment( - X_train, - y_train, - X_test, - y_test, + X_train: Union[np.ndarray, list], + y_train: np.ndarray, + X_test: Union[np.ndarray, list], + y_test: np.ndarray, classifier, results_path, - row_normalise=False, classifier_name=None, dataset_name="N/A", resample_id=None, + data_transforms=None, build_test_file=True, build_train_file=False, ignore_custom_train_estimate=False, @@ -92,21 +97,22 @@ def run_classification_experiment( Parameters ---------- - X_train : pd.DataFrame or np.array todo - The data to train the classifier. + X_train : np.ndarray or list of np.ndarray + The data to train the classifier. Numpy array or list of numpy arrays in the + ``aeon`` data format. y_train : np.array - Training data class labels. - X_test : pd.DataFrame or np.array - The data used to test the trained classifier. + Training data class labels. One label per case in the training data using the + same ordering. + X_test : np.ndarray or list of np.ndarray + The data used to test the trained classifier. Numpy array or list of numpy + arrays in the ``aeon`` data format. y_test : np.array - Testing data class labels. + Testing data class labels. One label per case in the testing data using the + same ordering. classifier : BaseClassifier Classifier to be used in the experiment. results_path : str Location of where to write results. Any required directories will be created. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. classifier_name : str or None, default=None Name of classifier used in writing results. If None, the name is taken from the classifier. @@ -115,6 +121,11 @@ def run_classification_experiment( resample_id : int or None, default=None Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_test_file : bool, default=True: Whether to generate test files or not. If the classifier can generate its own train probabilities, the classifier will be built but no file will be output. @@ -162,10 +173,13 @@ def run_classification_experiment( else: raise TypeError("classifier must be a tsml, aeon or sklearn classifier.") - if row_normalise: - scaler = TimeSeriesScaler() - X_train = scaler.fit_transform(X_train) - X_test = scaler.fit_transform(X_test) + if data_transforms is not None: + if not isinstance(data_transforms, list): + data_transforms = [data_transforms] + + for transform in data_transforms: + X_train = transform.fit_transform(X_train, y_train) + X_test = transform.transform(X_test, y_test) le = preprocessing.LabelEncoder() y_train = le.fit_transform(y_train) @@ -293,15 +307,16 @@ def load_and_run_classification_experiment( results_path, dataset, classifier, - row_normalise=False, classifier_name=None, resample_id=0, + data_transforms=None, build_train_file=False, write_attributes=False, att_max_shape=0, benchmark_time=True, overwrite=False, predefined_resample=False, + test_oversampling_methods=None, ): """Load a dataset and run a classification experiment. @@ -320,15 +335,17 @@ def load_and_run_classification_experiment( same for "_TEST.ts". classifier : BaseClassifier Classifier to be used in the experiment. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. classifier_name : str or None, default=None Name of classifier used in writing results. If None, the name is taken from the classifier. resample_id : int, default=0 Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_train_file : bool, default=False Whether to generate train files or not. If true, it performs a 10-fold cross-validation on the train data and saves. If the classifier can produce its @@ -343,6 +360,7 @@ def load_and_run_classification_experiment( Read a predefined resample from file instead of performing a resample. If True the file format must include the resample_id at the end of the dataset name i.e. //++"_TRAIN.ts". + test_oversampling_methods : bool, default=False """ if classifier_name is None: classifier_name = type(classifier).__name__ @@ -375,6 +393,12 @@ def load_and_run_classification_experiment( else: attribute_file_path = None + if test_oversampling_methods: + oversampler = getattr(SMOTE_FAMILY(), test_oversampling_methods)( + seed=resample_id + 2024 + ) + X_train, y_train = oversampler.fit_resample(np.squeeze(X_train), y_train) + X_train = np.expand_dims(X_train, axis=1) run_classification_experiment( X_train, y_train, @@ -382,10 +406,10 @@ def load_and_run_classification_experiment( y_test, classifier, results_path, - row_normalise=row_normalise, classifier_name=classifier_name, dataset_name=dataset, resample_id=resample_id, + data_transforms=data_transforms, build_test_file=build_test_file, build_train_file=build_train_file, attribute_file_path=attribute_file_path, @@ -395,16 +419,16 @@ def load_and_run_classification_experiment( def run_regression_experiment( - X_train, - y_train, - X_test, - y_test, + X_train: Union[np.ndarray, list], + y_train: np.ndarray, + X_test: Union[np.ndarray, list], + y_test: np.ndarray, regressor, results_path, - row_normalise=False, regressor_name=None, dataset_name="", resample_id=None, + data_transforms=None, build_test_file=True, build_train_file=False, ignore_custom_train_estimate=False, @@ -420,21 +444,22 @@ def run_regression_experiment( Parameters ---------- - X_train : pd.DataFrame or np.array - The data to train the regressor. + X_train : np.ndarray or list of np.ndarray + The data to train the classifier. Numpy array or list of numpy arrays in the + ``aeon`` data format. y_train : np.array - Training data labels. - X_test : pd.DataFrame or np.array - The data used to test the trained regressor. + Training data class labels. One label per case in the training data using the + same ordering. + X_test : np.ndarray or list of np.ndarray + The data used to test the trained classifier. Numpy array or list of numpy + arrays in the ``aeon`` data format. y_test : np.array - Testing data labels. + Testing data class labels. One label per case in the testing data using the + same ordering. regressor : BaseRegressor Regressor to be used in the experiment. results_path : str Location of where to write results. Any required directories will be created. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. regressor_name : str or None, default=None Name of regressor used in writing results. If None, the name is taken from the regressor. @@ -443,6 +468,11 @@ def run_regression_experiment( resample_id : int or None, default=None Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_test_file : bool, default=True: Whether to generate test files or not. If the regressor can generate its own train predictions, the classifier will be built but no file will be output. @@ -490,10 +520,13 @@ def run_regression_experiment( else: raise TypeError("regressor must be a tsml, aeon or sklearn regressor.") - if row_normalise: - scaler = TimeSeriesScaler() - X_train = scaler.fit_transform(X_train) - X_test = scaler.fit_transform(X_test) + if data_transforms is not None: + if not isinstance(data_transforms, list): + data_transforms = [data_transforms] + + for transform in data_transforms: + X_train = transform.fit_transform(X_train, y_train) + X_test = transform.transform(X_test, y_test) needs_fit = True fit_time = -1 @@ -598,9 +631,9 @@ def load_and_run_regression_experiment( results_path, dataset, regressor, - row_normalise=False, regressor_name=None, resample_id=0, + data_transforms=None, build_train_file=False, write_attributes=False, att_max_shape=0, @@ -625,15 +658,17 @@ def load_and_run_regression_experiment( same for "_TEST.ts". regressor : BaseRegressor Regressor to be used in the experiment. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. regressor_name : str or None, default=None Name of regressor used in writing results. If None, the name is taken from the regressor. resample_id : int, default=0 Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_train_file : bool, default=False Whether to generate train files or not. If true, it performs a 10-fold cross-validation on the train data and saves. If the regressor can produce its @@ -691,10 +726,10 @@ def load_and_run_regression_experiment( y_test, regressor, results_path, - row_normalise=row_normalise, regressor_name=regressor_name, dataset_name=dataset, resample_id=resample_id, + data_transforms=data_transforms, build_test_file=build_test_file, build_train_file=build_train_file, attribute_file_path=attribute_file_path, @@ -704,17 +739,17 @@ def load_and_run_regression_experiment( def run_clustering_experiment( - X_train, - y_train, + X_train: Union[np.ndarray, list], + y_train: np.ndarray, clusterer, results_path, - X_test=None, - y_test=None, - row_normalise=False, + X_test: Optional[Union[np.ndarray, list]] = None, + y_test: Optional[np.ndarray] = None, n_clusters=None, clusterer_name=None, dataset_name="N/A", resample_id=None, + data_transforms=None, build_test_file=False, build_train_file=True, attribute_file_path=None, @@ -729,27 +764,32 @@ def run_clustering_experiment( Parameters ---------- - X_train : pd.DataFrame or np.array - The data to train the clusterer. + X_train : np.ndarray or list of np.ndarray + The data to train the classifier. Numpy array or list of numpy arrays in the + ``aeon`` data format. y_train : np.array - Training data class labels (used for evaluation). + Training data class labels. One label per case in the training data using the + same ordering. clusterer : BaseClusterer Clusterer to be used in the experiment. results_path : str Location of where to write results. Any required directories will be created. - X_test : pd.DataFrame or np.array, default=None - The data used to test the fitted clusterer. - y_test : np.array, default=None - Testing data class labels. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. + X_test : np.ndarray or list of np.ndarray + The data used to test the trained classifier. Numpy array or list of numpy + arrays in the ``aeon`` data format. + y_test : np.array + Testing data class labels. One label per case in the testing data using the + same ordering. n_clusters : int or None, default=None Number of clusters to use if the clusterer has an `n_clusters` parameter. If None, the clusterers default is used. If -1, the number of classes in the dataset is used. - This may not work as intended for pipelines currently. + The `n_clusters` parameter for arguments which are estimators will also be + set to this value if it exists. Please ensure that the argument input itself + has the `n_clusters` parameters and is not a default such as None. This is + likely to be the case for parameters such as `estimator` or `clusterer` in + pipelines and deep learners. clusterer_name : str or None, default=None Name of clusterer used in writing results. If None, the name is taken from the clusterer. @@ -758,6 +798,11 @@ def run_clustering_experiment( resample_id : int or None, default=None Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_test_file : bool, default=False: Whether to generate test files or not. If True, X_test and y_test must be provided. @@ -797,11 +842,14 @@ def run_clustering_experiment( if build_test_file and (X_test is None or y_test is None): raise ValueError("Test data and labels not provided, cannot build test file.") - if row_normalise: - scaler = TimeSeriesScaler() - X_train = scaler.fit_transform(X_train) - if build_test_file: - X_test = scaler.fit_transform(X_test) + if data_transforms is not None: + if not isinstance(data_transforms, list): + data_transforms = [data_transforms] + + for transform in data_transforms: + X_train = transform.fit_transform(X_train, y_train) + if build_test_file: + X_test = transform.transform(X_test, y_test) le = preprocessing.LabelEncoder() y_train = le.fit_transform(y_train) @@ -821,22 +869,18 @@ def run_clustering_experiment( f"Encoder dictionary: {str(encoder_dict)}" ) + # set n_clusters for clusterer and any contained estimators + # NOTE: If the clusterer has an estimator parameteri.e. `estimator` or `clusterer` + # which defaults to None, we cannot set the n_clusters parameter for it here. if isinstance(n_clusters, int): - try: - if n_clusters == -1: - n_clusters = n_classes - - if isinstance(clusterer, SklearnToTsmlClusterer): - clusterer.set_params(clusterer__n_clusters=n_clusters) - else: - clusterer.set_params(n_clusters=n_clusters) - except ValueError: - warnings.warn( - f"{clusterer_name} does not have a n_clusters parameter, " - "so it cannot be set.", - stacklevel=1, - ) - n_clusters = None + if n_clusters == -1: + n_clusters = n_classes + + if "n_clusters" in clusterer.get_params(): + clusterer.set_params(n_clusters=n_clusters) + for att in clusterer.__dict__.values(): + if isinstance(att, BaseEstimator) and "n_clusters" in att.get_params(): + att.set_params(n_clusters=n_clusters) elif n_clusters is not None: raise ValueError("n_clusters must be an int or None.") @@ -868,7 +912,7 @@ def run_clustering_experiment( train_probs = np.zeros( ( len(train_preds), - n_clusters if n_clusters is not None else len(np.unique(train_preds)), + len(np.unique(train_preds)), ) ) train_probs[np.arange(len(train_preds)), train_preds] = 1 @@ -909,11 +953,7 @@ def run_clustering_experiment( test_probs = np.zeros( ( len(test_preds), - ( - n_clusters - if n_clusters is not None - else len(np.unique(train_preds)) - ), + len(np.unique(train_preds)), ) ) test_probs[np.arange(len(test_preds)), test_preds] = 1 @@ -953,10 +993,10 @@ def load_and_run_clustering_experiment( results_path, dataset, clusterer, - row_normalise=False, n_clusters=None, clusterer_name=None, resample_id=0, + data_transforms=None, build_test_file=False, write_attributes=False, att_max_shape=0, @@ -982,19 +1022,24 @@ def load_and_run_clustering_experiment( same for "_TEST.ts". clusterer : BaseClusterer Clusterer to be used in the experiment. - row_normalise : bool, default=False - Whether to normalise the data rows (time series) prior to fitting and - predicting. n_clusters : int or None, default=None Number of clusters to use if the clusterer has an `n_clusters` parameter. If None, the clusterers default is used. If -1, the number of classes in the dataset is used. + + The `n_clusters` parameter for attributes which are estimators will also be + set to this value if it exists. clusterer_name : str or None, default=None Name of clusterer used in writing results. If None, the name is taken from the clusterer. resample_id : int, default=0 Seed for resampling. If set to 0, the default train/test split from file is used. Also used in output file name. + data_transforms : transformer, list of transformers or None, default=None + Transformer(s) to apply to the data before running the experiment. + If a list, the transformers are applied in order. + If None, no transformation is applied. + Calls fit_transform on the training data and transform on the test data. build_test_file : bool, default=False Whether to generate test files or not. If true, the clusterer will assign clusters to the loaded test data. @@ -1064,11 +1109,11 @@ def load_and_run_clustering_experiment( results_path, X_test=X_test, y_test=y_test, - row_normalise=row_normalise, n_clusters=n_clusters, clusterer_name=clusterer_name, dataset_name=dataset, resample_id=resample_id, + data_transforms=data_transforms, build_train_file=build_train_file, build_test_file=build_test_file, attribute_file_path=attribute_file_path, diff --git a/tsml_eval/experiments/experiments_meta_learning.py b/tsml_eval/experiments/experiments_meta_learning.py new file mode 100644 index 00000000..d1293f1c --- /dev/null +++ b/tsml_eval/experiments/experiments_meta_learning.py @@ -0,0 +1,289 @@ +"""Functions to perform machine learning/data mining experiments. + +Results are saved a standardised format used by tsml. +""" + +__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__all__ = [ + "load_and_run_classification_experiment_ml", +] + +import os +import time +import warnings +from datetime import datetime + +import numpy as np +import pandas as pd +from sklearn import preprocessing +from sklearn.base import BaseEstimator, is_classifier, is_regressor +from sklearn.metrics import ( + accuracy_score, + mean_absolute_percentage_error, + mean_squared_error, +) +from sklearn.model_selection import cross_val_predict + +from tsml_eval.estimators import ( + SklearnToTsmlClassifier, + SklearnToTsmlClusterer, + SklearnToTsmlRegressor, +) +from tsml_eval.time_series_meta_learning.base_torch import BaseDeepClassifier_Pytorch +from tsml_eval.time_series_meta_learning.imbalanced_classification_ml.data import ( + Task_Data, +) +from tsml_eval.utils.datasets import load_experiment_data +from tsml_eval.utils.experiments import ( + _check_existing_results, + estimator_attributes_to_file, + timing_benchmark, +) +from tsml_eval.utils.memory_recorder import record_max_memory +from tsml_eval.utils.oversampling_methods import SMOTE_FAMILY +from tsml_eval.utils.resampling import ( + make_imbalance, + resample_data, + stratified_resample_data, +) +from tsml_eval.utils.results_writing import ( + write_classification_results, + write_clustering_results, + write_forecasting_results, + write_regression_results, +) + +if os.getenv("MEMRECORD_INTERVAL") is not None: # pragma: no cover + TEMP = os.getenv("MEMRECORD_INTERVAL") + MEMRECORD_INTERVAL = float(TEMP) if isinstance(TEMP, str) else 5.0 +else: + MEMRECORD_INTERVAL = 5.0 + + +def load_and_run_classification_experiment_ml( + problem_path, + results_path, + dataset, + datasetlists, + classifier, + row_normalise=False, + classifier_name=None, + resample_id=0, + build_train_file=False, + write_attributes=False, + att_max_shape=0, + benchmark_time=True, + overwrite=False, + predefined_resample=False, + test_oversampling_methods=None, + imbalance_ratio=None, + ignore_custom_train_estimate=False, +): + """Load a dataset and run a classification experiment. + + Function to load a dataset, run a basic classification experiment for a + // combination, and write the results to csv file(s) + at a given location. + + Parameters + ---------- + problem_path : str + Location of problem files, full path. + results_path : str + Location of where to write results. Any required directories will be created. + dataset : str + Name of problem. Files must be //+"_TRAIN.ts", + same for "_TEST.ts". + classifier : BaseDeepClassifier_Pytorch + Classifier to be used in the experiment. + row_normalise : bool, default=False + Whether to normalise the data rows (time series) prior to fitting and + predicting. + classifier_name : str or None, default=None + Name of classifier used in writing results. If None, the name is taken from + the classifier. + resample_id : int, default=0 + Seed for resampling. If set to 0, the default train/test split from file is + used. Also used in output file name. + build_train_file : bool, default=False + Whether to generate train files or not. If true, it performs a 10-fold + cross-validation on the train data and saves. If the classifier can produce its + own estimates, those are used instead. + benchmark_time : bool, default=True + Whether to benchmark the hardware used with a simple function and write the + results. This will typically take ~2 seconds, but is hardware dependent. + overwrite : bool, default=False + If set to False, this will only build results if there is not a result file + already present. If True, it will overwrite anything already there. + predefined_resample : bool, default=False + Read a predefined resample from file instead of performing a resample. If True + the file format must include the resample_id at the end of the dataset name i.e. + //++"_TRAIN.ts". + test_smote_family_resample : bool, default=False + imbalance_ratio : int, default=None + used to create imbalance data, the value is the ratio of the majority class to + the minority class + """ + if classifier_name is None: + classifier_name = type(classifier).__name__ + + build_test_file, build_train_file = _check_existing_results( + results_path, + classifier_name, + dataset, + resample_id, + overwrite, + True, + build_train_file, + ) + + if not build_test_file and not build_train_file: + warnings.warn("All files exist and not overwriting, skipping.", stacklevel=1) + return + + # Meta_training starts here + + if write_attributes: + attribute_file_path = f"{results_path}/{classifier_name}/Workspace/{dataset}/" + else: + attribute_file_path = None + + dataset_name = dataset + data_utils = Task_Data( + problem_path=problem_path, + dataset=dataset, + resample_id=resample_id, + predefined_resample=predefined_resample, + datasetlists=datasetlists, + K_support=5, + K_Query=5, + ) + X_train, y_train, X_test, y_test = data_utils.get_meta_test_task( + imbalance_ratio=imbalance_ratio + ) + if classifier_name is None: + classifier_name = type(classifier).__name__ + + use_fit_predict = False + if isinstance(classifier, BaseDeepClassifier_Pytorch): + if not ignore_custom_train_estimate and classifier.get_tag( + "capability:train_estimate", False, False + ): + use_fit_predict = True + else: + raise TypeError("classifier must be a tsml, aeon or sklearn classifier.") + + needs_fit = True + fit_time = -1 + mem_usage = -1 + benchmark = -1 + train_time = -1 + fit_and_train_time = -1 + + if benchmark_time: + benchmark = timing_benchmark(random_state=resample_id) + + first_comment = ( + "Generated by run_classification_experiment on " + f"{datetime.now().strftime('%m/%d/%Y, %H:%M:%S')}. " + ) + + second = str(classifier.get_params()).replace("\n", " ").replace("\r", " ") + + if build_train_file: + cv_size = 10 + start = int(round(time.time() * 1000)) + if classifier.meta_train_model: + classifier.meta_train() + if use_fit_predict: + train_probs = classifier.fit_predict_proba(X_train, y_train) + needs_fit = False + fit_and_train_time = int(round(time.time() * 1000)) - start + else: + _, counts = np.unique(y_train, return_counts=True) + n_classes = len(counts) + min_class = max(2, np.min(counts)) + if min_class < cv_size: + cv_size = min_class + + train_probs = cross_val_predict( + classifier, X_train, y=y_train, cv=cv_size, method="predict_proba" + ) + train_time = int(round(time.time() * 1000)) - start + + train_preds = np.unique(y_train)[np.argmax(train_probs, axis=1)] + train_acc = accuracy_score(y_train, train_preds) + + write_classification_results( + train_preds, + train_probs, + y_train, + classifier_name, + dataset_name, + results_path, + full_path=False, + split="TRAIN", + resample_id=resample_id, + time_unit="MILLISECONDS", + first_line_comment=first_comment, + parameter_info=second, + accuracy=train_acc, + fit_time=fit_time, + predict_time=-1, + benchmark_time=benchmark, + memory_usage=mem_usage, + n_classes=n_classes, + train_estimate_method="Custom" if use_fit_predict else f"{cv_size}F-CV", + train_estimate_time=train_time, + fit_and_estimate_time=fit_and_train_time, + ) + + if build_test_file: + if needs_fit: + mem_usage, fit_time = record_max_memory( + classifier.fit, + args=(X_train, y_train), + interval=MEMRECORD_INTERVAL, + return_func_time=True, + ) + fit_time += int(round(getattr(classifier, "_fit_time_milli", 0))) + + if attribute_file_path is not None: + estimator_attributes_to_file( + classifier, attribute_file_path, max_list_shape=att_max_shape + ) + + start = int(round(time.time() * 1000)) + test_probs = classifier.predict_proba(X_test) + test_time = ( + int(round(time.time() * 1000)) + - start + + int(round(getattr(classifier, "_predict_time_milli", 0))) + ) + + test_preds = classifier.classes_[np.argmax(test_probs, axis=1)] + test_acc = accuracy_score(y_test, test_preds) + + write_classification_results( + test_preds, + test_probs, + y_test, + classifier_name, + dataset_name, + results_path, + full_path=False, + split="TEST", + resample_id=resample_id, + time_unit="MILLISECONDS", + first_line_comment=first_comment, + parameter_info=second, + accuracy=test_acc, + fit_time=fit_time, + predict_time=test_time, + benchmark_time=benchmark, + memory_usage=mem_usage, + n_classes=n_classes, + train_estimate_method="N/A", + train_estimate_time=-1, + fit_and_estimate_time=fit_and_train_time, + ) diff --git a/tsml_eval/experiments/forecasting_experiments.py b/tsml_eval/experiments/forecasting_experiments.py index 06ffbd4a..8c8d17fd 100644 --- a/tsml_eval/experiments/forecasting_experiments.py +++ b/tsml_eval/experiments/forecasting_experiments.py @@ -4,7 +4,7 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import os import sys @@ -18,8 +18,10 @@ import numba from aeon.utils.validation._dependencies import _check_soft_dependencies -from tsml_eval.experiments import load_and_run_forecasting_experiment -from tsml_eval.experiments.set_forecaster import get_forecaster_by_name +from tsml_eval.experiments._get_forecaster import get_forecaster_by_name + +# todo replace when added back to init +from tsml_eval.experiments.experiments import load_and_run_forecasting_experiment from tsml_eval.experiments.tests import _FORECASTER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -91,7 +93,7 @@ def run_experiment(args, overwrite=False): # If threading is required, see the threaded version of this file data_path = _TEST_DATA_PATH results_path = _FORECASTER_RESULTS_PATH - estimator_name = "NaiveForecaster" + estimator_name = "DummyForecaster" dataset_name = "ShampooSales" random_seed = 0 write_attributes = True diff --git a/tsml_eval/experiments/regression_experiments.py b/tsml_eval/experiments/regression_experiments.py index af8ca7df..cb1449bc 100644 --- a/tsml_eval/experiments/regression_experiments.py +++ b/tsml_eval/experiments/regression_experiments.py @@ -4,7 +4,7 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import os import sys @@ -18,8 +18,11 @@ import numba from aeon.utils.validation._dependencies import _check_soft_dependencies -from tsml_eval.experiments import load_and_run_regression_experiment -from tsml_eval.experiments.set_regressor import get_regressor_by_name +from tsml_eval.experiments import ( + get_data_transform_by_name, + get_regressor_by_name, + load_and_run_regression_experiment, +) from tsml_eval.experiments.tests import _REGRESSOR_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -81,9 +84,18 @@ def run_experiment(args): checkpoint=args.checkpoint, **args.kwargs, ), - row_normalise=args.row_normalise, regressor_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=1, + ), build_train_file=args.train_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, @@ -101,6 +113,7 @@ def run_experiment(args): estimator_name = "ROCKET" dataset_name = "MinimalGasPrices" row_normalise = False + transform_name = None resample_id = 0 train_fold = False write_attributes = True @@ -120,6 +133,11 @@ def run_experiment(args): checkpoint=checkpoint, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + ) print(f"Local Run of {estimator_name} ({regressor.__class__.__name__}).") load_and_run_regression_experiment( @@ -127,9 +145,9 @@ def run_experiment(args): results_path, dataset_name, regressor, - row_normalise=row_normalise, regressor_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_train_file=train_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/experiments/scalability.py b/tsml_eval/experiments/scalability.py index 46624bc7..ee8012e0 100644 --- a/tsml_eval/experiments/scalability.py +++ b/tsml_eval/experiments/scalability.py @@ -18,7 +18,7 @@ def run_timing_experiment( function="fit", random_state=None, ): - """Return the time taken to run eestimator functions for randomly generated data. + """Return the time taken to run estimator functions for randomly generated data. Will time the function for each estimator in milliseconds, gradually increasing the size of the chosen dimension. The time taken will be stored in a dictionary. diff --git a/tsml_eval/experiments/tests/test_classification.py b/tsml_eval/experiments/tests/test_classification.py index dfa7facb..e08ac75b 100644 --- a/tsml_eval/experiments/tests/test_classification.py +++ b/tsml_eval/experiments/tests/test_classification.py @@ -1,20 +1,18 @@ """Tests for classification experiments.""" -__author__ = ["MatthewMiddlehurst"] - import os import runpy import pytest -from aeon.registry import all_estimators +from aeon.utils.discovery import all_estimators from tsml.dummy import DummyRegressor from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES from tsml_eval.experiments import ( + _get_classifier, classification_experiments, get_classifier_by_name, run_classification_experiment, - set_classifier, threaded_classification_experiments, ) from tsml_eval.experiments.tests import _CLASSIFIER_RESULTS_PATH @@ -111,8 +109,10 @@ def test_run_threaded_classification_experiment(): "1", "-nj", "2", - # also test normalisation and benchmark time here + # also test transforms and benchmark time here "--row_normalise", + "--data_transform_name", + "Padder", "--benchmark_time", ] @@ -172,16 +172,16 @@ def test_run_classification_experiment_invalid_estimator(): def test_get_classifier_by_name(): """Test get_classifier_by_name method.""" classifier_lists = [ - set_classifier.convolution_based_classifiers, - set_classifier.deep_learning_classifiers, - set_classifier.dictionary_based_classifiers, - set_classifier.distance_based_classifiers, - set_classifier.feature_based_classifiers, - set_classifier.hybrid_classifiers, - set_classifier.interval_based_classifiers, - set_classifier.other_classifiers, - set_classifier.shapelet_based_classifiers, - set_classifier.vector_classifiers, + _get_classifier.convolution_based_classifiers, + _get_classifier.deep_learning_classifiers, + _get_classifier.dictionary_based_classifiers, + _get_classifier.distance_based_classifiers, + _get_classifier.feature_based_classifiers, + _get_classifier.hybrid_classifiers, + _get_classifier.interval_based_classifiers, + _get_classifier.other_classifiers, + _get_classifier.shapelet_based_classifiers, + _get_classifier.vector_classifiers, ] classifier_dict = {} @@ -196,7 +196,9 @@ def test_get_classifier_by_name(): ) _check_set_method_results( - classifier_dict, estimator_name="Classifiers", method_name="set_classifier" + classifier_dict, + estimator_name="Classifiers", + method_name="get_classifier_by_name", ) @@ -209,20 +211,19 @@ def test_get_classifier_by_name_invalid(): def test_aeon_classifiers_available(): """Test all aeon classifiers are available.""" excluded = [ - # composable - "ChannelEnsembleClassifier", + # composable/wrapper + "ClassifierChannelEnsemble", "ClassifierPipeline", - "WeightedEnsembleClassifier", - # just missing - "IndividualLITEClassifier", + "ClassifierEnsemble", + "SklearnClassifierWrapper", + "IntervalForestClassifier", + # ordinal "OrdinalTDE", "IndividualOrdinalTDE", - "IntervalForestClassifier", - "SupervisedIntervalClassifier", - "LearningShapeletClassifier", + # just missing ] - est = [e for e, _ in all_estimators(estimator_types="classifier")] + est = [e for e, _ in all_estimators(type_filter="classifier")] for e in est: if e in excluded: continue diff --git a/tsml_eval/experiments/tests/test_clustering.py b/tsml_eval/experiments/tests/test_clustering.py index 637205cc..853e7f2b 100644 --- a/tsml_eval/experiments/tests/test_clustering.py +++ b/tsml_eval/experiments/tests/test_clustering.py @@ -1,20 +1,20 @@ """Tests for clustering experiments.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os import runpy import pytest -from aeon.registry import all_estimators +from aeon.utils.discovery import all_estimators from tsml.dummy import DummyClassifier, DummyClusterer from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES, DATA_TRAIN_SIZES from tsml_eval.experiments import ( + _get_clusterer, clustering_experiments, get_clusterer_by_name, run_clustering_experiment, - set_clusterer, threaded_clustering_experiments, ) from tsml_eval.experiments.tests import _CLUSTERER_RESULTS_PATH @@ -108,8 +108,10 @@ def test_run_threaded_clustering_experiment(): "1", "-nj", "2", - # also test normalisation and benchmark time here + # also test transforms and benchmark time here "--row_normalise", + "--data_transform_name", + "Padder", "--benchmark_time", "-te", ] @@ -172,24 +174,46 @@ def test_run_clustering_experiment_invalid_estimator(): def test_get_clusterer_by_name(): """Test get_clusterer_by_name method.""" clusterer_lists = [ - set_clusterer.distance_based_clusterers, - set_clusterer.other_clusterers, - set_clusterer.vector_clusterers, + _get_clusterer.deep_learning_clusterers, + _get_clusterer.distance_based_clusterers, + _get_clusterer.feature_based_clusterers, + _get_clusterer.other_clusterers, + _get_clusterer.vector_clusterers, + ] + clusterer_non_default_params = [ + "clusterer", + "base_clusterer", + "estimator", + "base_estimator", ] clusterer_dict = {} all_clusterer_names = [] for clusterer_list in clusterer_lists: - _check_set_method( + estimatorrs = _check_set_method( get_clusterer_by_name, clusterer_list, clusterer_dict, all_clusterer_names, + return_estimator=True, ) + # Check that clusterers with estimator parameters which are likely to be + # a sub-estimator are not None so n_clusters can be set + for clusterer in estimatorrs: + for param_name in clusterer_non_default_params: + params = clusterer.get_params() + if param_name in params: + assert params[param_name] is not None, ( + f"Clusterers which have an estimator parameter i.e. " + f"pipelines and deep learners must not have None as the " + f"estimator. Found None for {param_name} in " + f"{clusterer.__class__.__name__}" + ) + _check_set_method_results( - clusterer_dict, estimator_name="Clusterers", method_name="set_clusterer" + clusterer_dict, estimator_name="Clusterers", method_name="get_clusterer_by_name" ) @@ -202,17 +226,13 @@ def test_get_clusterer_by_name_invalid(): def test_aeon_clusterers_available(): """Test all aeon clusterers are available.""" excluded = [ - # composable + # composable/wrapper "ClustererPipeline", + "SklearnClustererWrapper", # just missing - "AEFCNClusterer", - "AEResNetClusterer", - "TimeSeriesKShapes", - "TimeSeriesKShape", - "TimeSeriesKernelKMeans", ] - est = [e for e, _ in all_estimators(estimator_types="clusterer")] + est = [e for e, _ in all_estimators(type_filter="clusterer")] for e in est: if e in excluded: continue @@ -226,7 +246,7 @@ def test_aeon_clusterers_available(): @pytest.mark.parametrize("n_clusters", ["4", "-1"]) @pytest.mark.parametrize( "clusterer", - ["DBSCAN", "DummyClusterer-aeon", "DummyClusterer-sklearn"], + ["DBSCAN", "DummyClusterer-aeon", "DummyClusterer-sklearn", "Summary"], ) def test_n_clusters(n_clusters, clusterer): """Test n_clusters parameter.""" diff --git a/tsml_eval/experiments/tests/test_data_transform.py b/tsml_eval/experiments/tests/test_data_transform.py new file mode 100644 index 00000000..60538976 --- /dev/null +++ b/tsml_eval/experiments/tests/test_data_transform.py @@ -0,0 +1,44 @@ +"""Tests for data transforms in experiments.""" + +import pytest +from aeon.transformations.collection import Normalizer, Padder + +from tsml_eval.experiments import _get_data_transform, get_data_transform_by_name +from tsml_eval.testing.testing_utils import _check_set_method, _check_set_method_results + + +def test_get_data_transform_by_name(): + """Test get_data_transform_by_name method.""" + transform_lists = [_get_data_transform.transformers] + + transform_dict = {} + all_transform_names = [] + + for transform_list in transform_lists: + _check_set_method( + get_data_transform_by_name, + transform_list, + transform_dict, + all_transform_names, + ) + + _check_set_method_results( + transform_dict, + estimator_name="Transformers", + method_name="get_data_transform_by_name", + ) + + +def test_get_data_transform_by_name_multiple_output(): + """Test get_data_transform_by_name method with multiple inputs and outputs.""" + t = get_data_transform_by_name(["padder", "normaliser"], row_normalise=True) + assert len(t) == 3 + assert isinstance(t[0], Normalizer) + assert isinstance(t[1], Padder) + assert isinstance(t[2], Normalizer) + + +def test_get_data_transform_by_name_invalid(): + """Test get_data_transform_by_name method with invalid estimator.""" + with pytest.raises(ValueError, match="UNKNOWN TRANSFORMER"): + get_data_transform_by_name("invalid") diff --git a/tsml_eval/experiments/tests/test_forecasting.py b/tsml_eval/experiments/tests/test_forecasting.py index e5430f07..a98e8a43 100644 --- a/tsml_eval/experiments/tests/test_forecasting.py +++ b/tsml_eval/experiments/tests/test_forecasting.py @@ -1,174 +1,178 @@ """Tests for forecasting experiments.""" -import os -import runpy - -import pytest -from tsml.dummy import DummyClassifier - -from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES -from tsml_eval.experiments import ( - forecasting_experiments, - get_forecaster_by_name, - run_forecasting_experiment, - set_forecaster, - threaded_forecasting_experiments, -) -from tsml_eval.experiments.tests import _FORECASTER_RESULTS_PATH -from tsml_eval.testing.testing_utils import ( - _TEST_DATA_PATH, - _check_set_method, - _check_set_method_results, -) -from tsml_eval.utils.tests.test_results_writing import _check_forecasting_file_format - - -def test_run_forecasting_experiment(): - """Test forecasting experiments with test data and forecasting.""" - forecaster = "NaiveForecaster" - dataset = "ShampooSales" - - args = [ - _TEST_DATA_PATH, - _FORECASTER_RESULTS_PATH, - forecaster, - dataset, - "2", - ] - - forecasting_experiments.run_experiment(args) - - test_file = ( - f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" - "testResample2.csv" - ) - assert os.path.exists(test_file) - _check_forecasting_file_format( - test_file, num_results_lines=DATA_TEST_SIZES[dataset] - ) - - # test present results checking - forecasting_experiments.run_experiment(args) - - os.remove(test_file) - - -def test_run_forecasting_experiment_main(): - """Test forecasting experiments main with test data and forecaster.""" - forecaster = "NaiveForecaster" - dataset = "ShampooSales" - - # run twice to test results present check - for _ in range(2): - runpy.run_path( - ( - "./tsml_eval/experiments/forecasting_experiments.py" - if os.getcwd().split("\\")[-1] != "tests" - else "../forecasting_experiments.py" - ), - run_name="__main__", - ) - - test_file = ( - f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" - "testResample0.csv" - ) - assert os.path.exists(test_file) - _check_forecasting_file_format(test_file) - - os.remove(test_file) - - -def test_run_threaded_forecasting_experiment(): - """Test threaded forecasting experiments with test data and forecaster.""" - forecaster = "NaiveForecaster" - dataset = "ShampooSales" - - args = [ - _TEST_DATA_PATH, - _FORECASTER_RESULTS_PATH, - forecaster, - dataset, - "1", - "-nj", - "2", - # also test normalisation and benchmark time here - "--row_normalise", - "--benchmark_time", - ] - - threaded_forecasting_experiments.run_experiment(args) - - test_file = ( - f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" - "testResample1.csv" - ) - assert os.path.exists(test_file) - _check_forecasting_file_format(test_file) - - # test present results checking - threaded_forecasting_experiments.run_experiment(args) - - # this covers the main method and experiment function result file checking - runpy.run_path( - ( - "./tsml_eval/experiments/threaded_forecasting_experiments.py" - if os.getcwd().split("\\")[-1] != "tests" - else "../threaded_forecasting_experiments.py" - ), - run_name="__main__", - ) - - os.remove(test_file) - - -def test_run_forecasting_experiment_invalid_estimator(): - """Test run_forecasting_experiment method with invalid estimator.""" - with pytest.raises(TypeError, match="forecaster must be a"): - run_forecasting_experiment( - [], - [], - DummyClassifier(), - [], - ) - - -def test_get_forecaster_by_name(): - """Test get_forecaster_by_name method.""" - forecaster_lists = [ - set_forecaster.other_forecasters, - ] - - forecaster_dict = {} - all_forecaster_names = [] - - for forecaster_list in forecaster_lists: - _check_set_method( - get_forecaster_by_name, - forecaster_list, - forecaster_dict, - all_forecaster_names, - ) - - _check_set_method_results( - forecaster_dict, estimator_name="Forecasters", method_name="set_forecaster" - ) - - -def test_get_forecaster_by_name_invalid(): - """Test get_forecaster_by_name method with invalid estimator.""" - with pytest.raises(ValueError, match="UNKNOWN FORECASTER"): - get_forecaster_by_name("invalid") - - +# import os +# import runpy +# +# import pytest +# from aeon.utils.discovery import all_estimators +# from tsml.dummy import DummyClassifier +# +# from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES +# from tsml_eval.experiments import ( +# forecasting_experiments, +# get_forecaster_by_name, +# run_forecasting_experiment, +# set_forecaster, +# threaded_forecasting_experiments, +# ) +# from tsml_eval.experiments.tests import _FORECASTER_RESULTS_PATH +# from tsml_eval.testing.testing_utils import ( +# _TEST_DATA_PATH, +# _check_set_method, +# _check_set_method_results, +# ) +# from tsml_eval.utils.tests.test_results_writing import _check_forecasting_file_format +# +# +# def test_run_forecasting_experiment(): +# """Test forecasting experiments with test data and forecasting.""" +# forecaster = "DummyForecaster" +# dataset = "ShampooSales" +# +# args = [ +# _TEST_DATA_PATH, +# _FORECASTER_RESULTS_PATH, +# forecaster, +# dataset, +# "2", +# ] +# +# forecasting_experiments.run_experiment(args) +# +# test_file = ( +# f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" +# "testResample2.csv" +# ) +# assert os.path.exists(test_file) +# _check_forecasting_file_format( +# test_file, num_results_lines=DATA_TEST_SIZES[dataset] +# ) +# +# # test present results checking +# forecasting_experiments.run_experiment(args) +# +# os.remove(test_file) +# +# +# def test_run_forecasting_experiment_main(): +# """Test forecasting experiments main with test data and forecaster.""" +# forecaster = "DummyForecaster" +# dataset = "ShampooSales" +# +# # run twice to test results present check +# for _ in range(2): +# runpy.run_path( +# ( +# "./tsml_eval/experiments/forecasting_experiments.py" +# if os.getcwd().split("\\")[-1] != "tests" +# else "../forecasting_experiments.py" +# ), +# run_name="__main__", +# ) +# +# test_file = ( +# f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" +# "testResample0.csv" +# ) +# assert os.path.exists(test_file) +# _check_forecasting_file_format(test_file) +# +# os.remove(test_file) +# +# +# def test_run_threaded_forecasting_experiment(): +# """Test threaded forecasting experiments with test data and forecaster.""" +# forecaster = "DummyForecaster" +# dataset = "ShampooSales" +# +# args = [ +# _TEST_DATA_PATH, +# _FORECASTER_RESULTS_PATH, +# forecaster, +# dataset, +# "1", +# "-nj", +# "2", +# # also test transforms and benchmark time here +# "--row_normalise", +# "--data_transform_name", +# "Padder", +# "--benchmark_time", +# ] +# +# threaded_forecasting_experiments.run_experiment(args) +# +# test_file = ( +# f"{_FORECASTER_RESULTS_PATH}{forecaster}/Predictions/{dataset}/" +# "testResample1.csv" +# ) +# assert os.path.exists(test_file) +# _check_forecasting_file_format(test_file) +# +# # test present results checking +# threaded_forecasting_experiments.run_experiment(args) +# +# # this covers the main method and experiment function result file checking +# runpy.run_path( +# ( +# "./tsml_eval/experiments/threaded_forecasting_experiments.py" +# if os.getcwd().split("\\")[-1] != "tests" +# else "../threaded_forecasting_experiments.py" +# ), +# run_name="__main__", +# ) +# +# os.remove(test_file) +# +# +# def test_run_forecasting_experiment_invalid_estimator(): +# """Test run_forecasting_experiment method with invalid estimator.""" +# with pytest.raises(TypeError, match="forecaster must be a"): +# run_forecasting_experiment( +# [], +# [], +# DummyClassifier(), +# [], +# ) +# +# +# def test_get_forecaster_by_name(): +# """Test get_forecaster_by_name method.""" +# forecaster_lists = [ +# set_forecaster.other_forecasters, +# ] +# +# forecaster_dict = {} +# all_forecaster_names = [] +# +# for forecaster_list in forecaster_lists: +# _check_set_method( +# get_forecaster_by_name, +# forecaster_list, +# forecaster_dict, +# all_forecaster_names, +# ) +# +# _check_set_method_results( +# forecaster_dict, +# estimator_name="Forecasters", +# method_name="get_forecaster_by_name", +# ) +# +# +# def test_get_forecaster_by_name_invalid(): +# """Test get_forecaster_by_name method with invalid estimator.""" +# with pytest.raises(ValueError, match="UNKNOWN FORECASTER"): +# get_forecaster_by_name("invalid") +# +# # def test_aeon_forecasters_available(): # """Test all aeon forecasters are available.""" # excluded = [ -# # composable -# # just missing +# "RegressionForecaster" # ] # -# est = [e for e, _ in all_estimators(estimator_types="forecaster")] +# est = [e for e, _ in all_estimators(type_filter="forecaster")] # for e in est: # if e in excluded: # continue diff --git a/tsml_eval/experiments/tests/test_regression.py b/tsml_eval/experiments/tests/test_regression.py index a391a821..9cb25dde 100644 --- a/tsml_eval/experiments/tests/test_regression.py +++ b/tsml_eval/experiments/tests/test_regression.py @@ -1,20 +1,20 @@ """Tests for regression experiments.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os import runpy import pytest -from aeon.registry import all_estimators +from aeon.utils.discovery import all_estimators from tsml.dummy import DummyClassifier from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES from tsml_eval.experiments import ( + _get_regressor, get_regressor_by_name, regression_experiments, run_regression_experiment, - set_regressor, threaded_regression_experiments, ) from tsml_eval.experiments.tests import _REGRESSOR_RESULTS_PATH @@ -109,8 +109,10 @@ def test_run_threaded_regression_experiment(): "1", "-nj", "2", - # also test normalisation and benchmark time here + # also test transforms and benchmark time here "--row_normalise", + "--data_transform_name", + "Padder", "--benchmark_time", ] @@ -169,15 +171,15 @@ def test_run_regression_experiment_invalid_estimator(): def test_get_regressor_by_name(): """Test get_regressor_by_name method.""" regressor_lists = [ - set_regressor.convolution_based_regressors, - set_regressor.deep_learning_regressors, - set_regressor.distance_based_regressors, - set_regressor.feature_based_regressors, - set_regressor.hybrid_regressors, - set_regressor.interval_based_regressors, - set_regressor.other_regressors, - set_regressor.shapelet_based_regressors, - set_regressor.vector_regressors, + _get_regressor.convolution_based_regressors, + _get_regressor.deep_learning_regressors, + _get_regressor.distance_based_regressors, + _get_regressor.feature_based_regressors, + _get_regressor.hybrid_regressors, + _get_regressor.interval_based_regressors, + _get_regressor.other_regressors, + _get_regressor.shapelet_based_regressors, + _get_regressor.vector_regressors, ] regressor_dict = {} @@ -192,7 +194,7 @@ def test_get_regressor_by_name(): ) _check_set_method_results( - regressor_dict, estimator_name="Regressors", method_name="set_regressor" + regressor_dict, estimator_name="Regressors", method_name="get_regressor_by_name" ) @@ -205,14 +207,15 @@ def test_get_regressor_by_name_invalid(): def test_aeon_regressors_available(): """Test all aeon regressors are available.""" excluded = [ - # composable + # composable/wrapper "RegressorPipeline", - # just missing - "IndividualLITERegressor", + "RegressorEnsemble", + "SklearnRegressorWrapper", "IntervalForestRegressor", + # just missing ] - est = [e for e, _ in all_estimators(estimator_types="regressor")] + est = [e for e, _ in all_estimators(type_filter="regressor")] for e in est: if e in excluded: continue diff --git a/tsml_eval/experiments/threaded_classification_experiments.py b/tsml_eval/experiments/threaded_classification_experiments.py index 1a974287..2aa06ec5 100644 --- a/tsml_eval/experiments/threaded_classification_experiments.py +++ b/tsml_eval/experiments/threaded_classification_experiments.py @@ -4,12 +4,15 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import sys -from tsml_eval.experiments import load_and_run_classification_experiment -from tsml_eval.experiments.set_classifier import get_classifier_by_name +from tsml_eval.experiments import ( + get_classifier_by_name, + get_data_transform_by_name, + load_and_run_classification_experiment, +) from tsml_eval.experiments.tests import _CLASSIFIER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -57,9 +60,18 @@ def run_experiment(args): checkpoint=args.checkpoint, **args.kwargs, ), - row_normalise=args.row_normalise, classifier_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=args.n_jobs, + ), build_train_file=args.train_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, @@ -76,6 +88,7 @@ def run_experiment(args): estimator_name = "ROCKET" dataset_name = "MinimalChinatown" row_normalise = False + transform_name = None resample_id = 0 n_jobs = 1 train_fold = False @@ -96,6 +109,12 @@ def run_experiment(args): checkpoint=checkpoint, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + n_jobs=n_jobs, + ) print(f"Local Run of {estimator_name} ({classifier.__class__.__name__}).") load_and_run_classification_experiment( @@ -103,9 +122,9 @@ def run_experiment(args): results_path, dataset_name, classifier, - row_normalise=row_normalise, classifier_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_train_file=train_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/experiments/threaded_clustering_experiments.py b/tsml_eval/experiments/threaded_clustering_experiments.py index e5815eed..429850ff 100644 --- a/tsml_eval/experiments/threaded_clustering_experiments.py +++ b/tsml_eval/experiments/threaded_clustering_experiments.py @@ -4,13 +4,16 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import sys -from tsml_eval.experiments import load_and_run_clustering_experiment -from tsml_eval.experiments.set_clusterer import get_clusterer_by_name +from tsml_eval.experiments import ( + get_clusterer_by_name, + get_data_transform_by_name, + load_and_run_clustering_experiment, +) from tsml_eval.experiments.tests import _CLUSTERER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -65,10 +68,19 @@ def run_experiment(args): row_normalise=args.row_normalise, **args.kwargs, ), - row_normalise=args.row_normalise, n_clusters=args.n_clusters, clusterer_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=args.n_jobs, + ), build_test_file=args.test_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, @@ -85,6 +97,7 @@ def run_experiment(args): estimator_name = "KMeans" dataset_name = "MinimalChinatown" row_normalise = False + transform_name = None n_clusters = -1 resample_id = 0 n_jobs = 1 @@ -108,6 +121,12 @@ def run_experiment(args): row_normalise=row_normalise, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + n_jobs=n_jobs, + ) print(f"Local Run of {estimator_name} ({clusterer.__class__.__name__}).") load_and_run_clustering_experiment( @@ -115,10 +134,10 @@ def run_experiment(args): results_path, dataset_name, clusterer, - row_normalise=row_normalise, n_clusters=n_clusters, clusterer_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_test_file=test_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/experiments/threaded_forecasting_experiments.py b/tsml_eval/experiments/threaded_forecasting_experiments.py index a15b8cc8..cccd340d 100644 --- a/tsml_eval/experiments/threaded_forecasting_experiments.py +++ b/tsml_eval/experiments/threaded_forecasting_experiments.py @@ -4,12 +4,14 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import sys -from tsml_eval.experiments import load_and_run_forecasting_experiment -from tsml_eval.experiments.set_forecaster import get_forecaster_by_name +from tsml_eval.experiments._get_forecaster import get_forecaster_by_name + +# todo replace when added back to init +from tsml_eval.experiments.experiments import load_and_run_forecasting_experiment from tsml_eval.experiments.tests import _FORECASTER_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -66,7 +68,7 @@ def run_experiment(args, overwrite=False): # If threading is required, see the threaded version of this file data_path = _TEST_DATA_PATH results_path = _FORECASTER_RESULTS_PATH - estimator_name = "NaiveForecaster" + estimator_name = "DummyForecaster" dataset_name = "ShampooSales" random_seed = 0 n_jobs = 1 diff --git a/tsml_eval/experiments/threaded_regression_experiments.py b/tsml_eval/experiments/threaded_regression_experiments.py index cdcf38c4..0718f2cf 100644 --- a/tsml_eval/experiments/threaded_regression_experiments.py +++ b/tsml_eval/experiments/threaded_regression_experiments.py @@ -4,13 +4,16 @@ single debugging runs. Results are written in a standard tsml format. """ -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import sys -from tsml_eval.experiments import load_and_run_regression_experiment -from tsml_eval.experiments.set_regressor import get_regressor_by_name +from tsml_eval.experiments import ( + get_data_transform_by_name, + get_regressor_by_name, + load_and_run_regression_experiment, +) from tsml_eval.experiments.tests import _REGRESSOR_RESULTS_PATH from tsml_eval.testing.testing_utils import _TEST_DATA_PATH from tsml_eval.utils.arguments import parse_args @@ -58,9 +61,18 @@ def run_experiment(args): checkpoint=args.checkpoint, **args.kwargs, ), - row_normalise=args.row_normalise, regressor_name=args.estimator_name, resample_id=args.resample_id, + data_transforms=get_data_transform_by_name( + args.data_transform_name, + row_normalise=args.row_normalise, + random_state=( + args.resample_id + if args.random_seed is None + else args.random_seed + ), + n_jobs=args.n_jobs, + ), build_train_file=args.train_fold, write_attributes=args.write_attributes, att_max_shape=args.att_max_shape, @@ -77,6 +89,7 @@ def run_experiment(args): estimator_name = "ROCKET" dataset_name = "MinimalGasPrices" row_normalise = False + transform_name = None resample_id = 0 n_jobs = 1 train_fold = False @@ -97,6 +110,12 @@ def run_experiment(args): checkpoint=checkpoint, **kwargs, ) + transform = get_data_transform_by_name( + transform_name, + row_normalise=row_normalise, + random_state=resample_id, + n_jobs=n_jobs, + ) print(f"Local Run of {estimator_name} ({regressor.__class__.__name__}).") load_and_run_regression_experiment( @@ -104,9 +123,9 @@ def run_experiment(args): results_path, dataset_name, regressor, - row_normalise=row_normalise, regressor_name=estimator_name, resample_id=resample_id, + data_transforms=transform, build_train_file=train_fold, write_attributes=write_attributes, att_max_shape=att_max_shape, diff --git a/tsml_eval/publications/clustering/kasba/kasba.ipynb b/tsml_eval/publications/clustering/kasba/kasba.ipynb new file mode 100644 index 00000000..66a06671 --- /dev/null +++ b/tsml_eval/publications/clustering/kasba/kasba.ipynb @@ -0,0 +1,37 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "initial_id", + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "# KESBA TSCL" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 2 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython2", + "version": "2.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tsml_eval/publications/y2023/distance_based_clustering/_plot_path.py b/tsml_eval/publications/y2023/distance_based_clustering/_plot_path.py index 05ef7bd6..1713def2 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/_plot_path.py +++ b/tsml_eval/publications/y2023/distance_based_clustering/_plot_path.py @@ -36,8 +36,8 @@ def _path_mask(cost_matrix, path, ax, theme=None): # pragma: no cover ax.matshow(plot_matrix, cmap=theme) -def _pairwise_path(x, y, metric): # pragma: no cover - pw_matrix = pairwise_distance(x, y, metric=metric) +def _pairwise_path(x, y, method): # pragma: no cover + pw_matrix = pairwise_distance(x, y, method=method) path = [] for i in range(pw_matrix.shape[0]): for j in range(pw_matrix.shape[1]): @@ -49,7 +49,7 @@ def _pairwise_path(x, y, metric): # pragma: no cover def _plot_path( x: np.ndarray, y: np.ndarray, - metric: str, + method: str, dist_kwargs: Optional[dict] = None, title: str = "", plot_over_pw: bool = False, @@ -61,25 +61,25 @@ def _plot_path( if dist_kwargs is None: dist_kwargs = {} try: - path, dist = alignment_path(x, y, metric=metric, **dist_kwargs) - cost_matrix = compute_cost_matrix(x, y, metric=metric, **dist_kwargs) + path, dist = alignment_path(x, y, method=method, **dist_kwargs) + cost_matrix = compute_cost_matrix(x, y, method=method, **dist_kwargs) - if metric == "lcss": + if method == "lcss": _path = [] for tup in path: _path.append(tuple(x + 1 for x in tup)) path = _path if plot_over_pw is True: - if metric == "lcss": - pw = pairwise_distance(x, y, metric="euclidean") + if method == "lcss": + pw = pairwise_distance(x, y, method="euclidean") cost_matrix = np.zeros_like(cost_matrix) cost_matrix[1:, 1:] = pw else: - pw = pairwise_distance(x, y, metric="squared") + pw = pairwise_distance(x, y, method="squared") cost_matrix = pw except NotImplementedError: - path, dist, cost_matrix = _pairwise_path(x, y, metric) + path, dist, cost_matrix = _pairwise_path(x, y, method) plt.figure(1, figsize=(8, 8)) x_size = x.shape[0] @@ -119,7 +119,7 @@ def _plot_path( def _plot_alignment( - x, y, metric, dist_kwargs: Optional[dict] = None, title: str = "" + x, y, method, dist_kwargs: Optional[dict] = None, title: str = "" ): # pragma: no cover _check_soft_dependencies("matplotlib") @@ -128,9 +128,9 @@ def _plot_alignment( if dist_kwargs is None: dist_kwargs = {} try: - path, dist = alignment_path(x, y, metric=metric, **dist_kwargs) + path, dist = alignment_path(x, y, method=method, **dist_kwargs) except NotImplementedError: - path, dist, cost_matrix = _pairwise_path(x, y, metric) + path, dist, cost_matrix = _pairwise_path(x, y, method) plt.figure(1, figsize=(8, 8)) diff --git a/tsml_eval/publications/y2023/distance_based_clustering/_tuning_functions.py b/tsml_eval/publications/y2023/distance_based_clustering/_tuning_functions.py index 5ae67d9b..de810234 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/_tuning_functions.py +++ b/tsml_eval/publications/y2023/distance_based_clustering/_tuning_functions.py @@ -8,12 +8,12 @@ # used for dtw and wdtw primarily -def _tune_window(metric, train_X, n_clusters): # pragma: no cover +def _tune_window(method, train_X, n_clusters): # pragma: no cover best_w = 0 best_score = sys.float_info.max for w in np.arange(0.0, 0.2, 0.01): cls = TimeSeriesKMeans( - metric=metric, distance_params={"window": w}, n_clusters=n_clusters + distance=method, distance_params={"window": w}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) @@ -35,7 +35,7 @@ def _tune_msm(train_X, n_clusters): # pragma: no cover best_score = sys.float_info.max for c in np.arange(0.0, 5.0, 0.25): cls = TimeSeriesKMeans( - metric="msm", distance_params={"c": c}, n_clusters=n_clusters + distance="msm", distance_params={"c": c}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) @@ -57,7 +57,7 @@ def _tune_wdtw(train_X, n_clusters): # pragma: no cover best_score = sys.float_info.max for g in np.arange(0.0, 1.0, 0.05): cls = TimeSeriesKMeans( - metric="wdtw", distance_params={"g": g}, n_clusters=n_clusters + distance="wdtw", distance_params={"g": g}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) @@ -81,7 +81,7 @@ def _tune_twe(train_X, n_clusters): # pragma: no cover for nu in np.arange(0.0, 1.0, 0.25): for lam in np.arange(0.0, 1.0, 0.2): cls = TimeSeriesKMeans( - metric="twe", + distance="twe", distance_params={"nu": nu, "lmbda": lam}, n_clusters=n_clusters, ) @@ -110,7 +110,7 @@ def _tune_erp(train_X, n_clusters): # pragma: no cover best_score = sys.float_info.max for g in np.arange(0.0, 2.0, 0.2): cls = TimeSeriesKMeans( - metric="erp", distance_params={"g": g}, n_clusters=n_clusters + distance="erp", distance_params={"g": g}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) @@ -132,7 +132,7 @@ def _tune_edr(train_X, n_clusters): # pragma: no cover best_score = sys.float_info.max for e in np.arange(0.0, 0.2, 0.01): cls = TimeSeriesKMeans( - metric="edr", distance_params={"epsilon": e}, n_clusters=n_clusters + distance="edr", distance_params={"epsilon": e}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) @@ -156,7 +156,7 @@ def _tune_lcss(train_X, n_clusters): # pragma: no cover best_score = sys.float_info.max for e in np.arange(0.0, 0.2, 0.01): cls = TimeSeriesKMeans( - metric="lcss", distance_params={"epsilon": e}, n_clusters=n_clusters + distance="lcss", distance_params={"epsilon": e}, n_clusters=n_clusters ) cls.fit(train_X) preds = cls.predict(train_X) diff --git a/tsml_eval/publications/y2023/distance_based_clustering/alignment_and_paths_figures.ipynb b/tsml_eval/publications/y2023/distance_based_clustering/alignment_and_paths_figures.ipynb index 256b7a65..c8906bbf 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/alignment_and_paths_figures.ipynb +++ b/tsml_eval/publications/y2023/distance_based_clustering/alignment_and_paths_figures.ipynb @@ -10,12 +10,11 @@ "pycharm": { "name": "#%% md\n" } - } + }, + "id": "b077dff70770563a" }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import warnings\n", "\n", @@ -59,29 +58,30 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:50:54.022162Z", - "start_time": "2023-10-12T12:50:53.970842Z" + "end_time": "2024-12-05T16:18:19.813962Z", + "start_time": "2024-12-05T16:18:19.765010Z" } - } + }, + "id": "7771e27c64bfa963", + "outputs": [], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": 2, - "outputs": [], "source": [ "# Find the distance between time series\n", "from aeon.distances import distance\n", "\n", - "dtw = distance(x, y, metric=\"dtw\")\n", - "dtw_windowed = distance(x, y, metric=\"dtw\", window=0.2)\n", - "edr = distance(x, y, metric=\"edr\")\n", - "erp = distance(x, y, metric=\"erp\", epsilon=1.0)\n", - "lcss = distance(x, y, metric=\"lcss\")\n", - "msm = distance(x, y, metric=\"msm\")\n", - "twe = distance(x, y, metric=\"twe\")\n", - "wdtw = distance(x, y, metric=\"wdtw\")\n", - "wdtw_g2 = distance(x, y, metric=\"wdtw\", g=0.2)\n", - "wdtw_g3 = distance(x, y, metric=\"wdtw\", g=0.3)" + "dtw = distance(x, y, method=\"dtw\")\n", + "dtw_windowed = distance(x, y, method=\"dtw\", window=0.2)\n", + "edr = distance(x, y, method=\"edr\")\n", + "erp = distance(x, y, method=\"erp\")\n", + "lcss = distance(x, y, method=\"lcss\")\n", + "msm = distance(x, y, method=\"msm\")\n", + "twe = distance(x, y, method=\"twe\")\n", + "wdtw = distance(x, y, method=\"wdtw\")\n", + "wdtw_g2 = distance(x, y, method=\"wdtw\", g=0.2)\n", + "wdtw_g3 = distance(x, y, method=\"wdtw\", g=0.3)" ], "metadata": { "collapsed": false, @@ -89,29 +89,30 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:50:55.025997Z", - "start_time": "2023-10-12T12:50:54.591752Z" + "end_time": "2024-12-05T16:18:26.812870Z", + "start_time": "2024-12-05T16:18:19.815967Z" } - } + }, + "id": "81bf5b00d2c5e259", + "outputs": [], + "execution_count": 2 }, { "cell_type": "code", - "execution_count": 3, - "outputs": [], "source": [ "# Generate the path for each distance\n", "from aeon.distances import alignment_path\n", "\n", - "dtw_path = alignment_path(x, y, metric=\"dtw\")\n", - "dtw_path_windowed = alignment_path(x, y, metric=\"dtw\", window=0.2)\n", - "edr_path = alignment_path(x, y, metric=\"edr\")\n", - "erp_path = alignment_path(x, y, metric=\"erp\", epsilon=1.0)\n", - "lcss_path = alignment_path(x, y, metric=\"lcss\")\n", - "msm_path = alignment_path(x, y, metric=\"msm\")\n", - "twe_path = alignment_path(x, y, metric=\"twe\")\n", - "wdtw_path = alignment_path(x, y, metric=\"wdtw\")\n", - "wdtw_path_g2 = alignment_path(x, y, metric=\"wdtw\", g=0.2)\n", - "wdtw_path_g3 = alignment_path(x, y, metric=\"wdtw\", g=0.3)" + "dtw_path = alignment_path(x, y, method=\"dtw\")\n", + "dtw_path_windowed = alignment_path(x, y, method=\"dtw\", window=0.2)\n", + "edr_path = alignment_path(x, y, method=\"edr\")\n", + "erp_path = alignment_path(x, y, method=\"erp\")\n", + "lcss_path = alignment_path(x, y, method=\"lcss\")\n", + "msm_path = alignment_path(x, y, method=\"msm\")\n", + "twe_path = alignment_path(x, y, method=\"twe\")\n", + "wdtw_path = alignment_path(x, y, method=\"wdtw\")\n", + "wdtw_path_g2 = alignment_path(x, y, method=\"wdtw\", g=0.2)\n", + "wdtw_path_g3 = alignment_path(x, y, method=\"wdtw\", g=0.3)" ], "metadata": { "collapsed": false, @@ -119,32 +120,16 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:50:55.620382Z", - "start_time": "2023-10-12T12:50:55.545577Z" + "end_time": "2024-12-05T16:18:34.420378Z", + "start_time": "2024-12-05T16:18:26.900851Z" } - } + }, + "id": "50a68f63f0eaaa02", + "outputs": [], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "data": { - "text/plain": "
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" 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "# This function does the above but generates a graph from it\n", "from tsml_eval.publications.y2023.distance_based_clustering._plot_path import (\n", @@ -152,9 +137,9 @@ " _plot_path,\n", ")\n", "\n", - "plt_path = _plot_path(x, y, metric=\"dtw\", title=\"dtw path window 0.2\")\n", + "plt_path = _plot_path(x, y, method=\"dtw\", title=\"dtw path window 0.2\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"dtw\", title=\"dtw alignment window 0.2\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"dtw\", title=\"dtw alignment window 0.2\")\n", "plt_alignment.show()" ], "metadata": { @@ -163,39 +148,44 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:50:58.506441Z", - "start_time": "2023-10-12T12:50:56.528758Z" + "end_time": "2024-12-05T16:18:35.518669Z", + "start_time": "2024-12-05T16:18:34.424390Z" } - } - }, - { - "cell_type": "code", - "execution_count": 5, + }, + "id": "242d755bd5f64df4", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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37MSnS7/Cuu834NiJk7h1+7b6gyRSIj0jE2u/29CqvkyWqUsyMDDAqBHDRW1lZWU4duKkliKixvYdOITyigpR29jRo0Sl4vo5O+GJhfPh46247KLk5k2sXvcdjp04wdMataDk5k2s27AR8fv2K6w3l0gkGDI4UuGTnFNJyS2uTSfdciLxlOixlaUlevdufqZOEARcLLyEPXv34ctvlmH5qtU4cOgwrl67xu9VUjuZTIY9+/bjtz/+bPXPG0M1x0Skszw93OHSzxnnL1yUtyUcO47gwABYWVlpMTK6XFSEU0lJojZ3N1d4eXoo9DU1NcVDUybDzXUAdu7aI/p0QCaTYc/e/cg/V4DJEyfAytJS7bF3dYIg4OSp09i7/wDq6+sVrtv26IHJEyegb5/euHL1KjIyz8ivlZeXIys7h8uh9MTt27eRk5snahscOQgDw8NQducOcnLzkJObi/MXLipdp37PtevFuHa9GIeOJMCmWzd4erjDy9MDTn37ssINqVR1dTW2bP0DZ/PPtek+rlmmLu3qtWtYsXqtqC0wwB+TJzygpYhIJpNh1dp1uHrtr492DQ0N8fTihbCxsWn23pKbN/Hb1j+UfuRvbmaGiRPGw9PdXdUh0//cvn0bW7ftwIWLF5VeHxQRjuHDomFkZCRvW/vdBhReuiR/3LdPH8x/fLbaY6WO27NvP44dPyF/bGxsjL8/+4zCQUHV1dXIO5uP7NxcnM0/1+rlbuZmZvDwcIenhzsGuLiI/t0QtdWNkhJs/vlXlNy8KWr/16v/1+K9nFmmLq2XgwOCgwKRnJIqb0tNS0d4aCh6O/bSYmRd18lTp0WJMgAMixraYqIM3J21nDdnNg4cOoyEY8dF1yqrqrD5518RFhKC0SOH8xevCgmCgKSUVOzZu0/pEfLdu9tg0gMPoJ+zk8K1iLBQUbJ86fLlVm+6Ie2pra1FckqKqC0owF/piZqmpqbw9/OFv58v6urqUHD+ArJzc5Gbm4fKqqomX6OyqgopqWlISU2DkZER3AYMgJenB9zdXGFqaqrqIVEnlpefjy2//yGqggWg1Z9ccGaZurzy8gp8tWy56Je8s1NfPD7rMZaS07CysjJ8s2KV6L2wt7PDovlz21yvteD8Bfz+5zbcuXNH4Zpdz554cMokONjbdzjmrq6srAx/7tiJ/HMFSq+Hh4Zg5PCYJiuTNDQ0YOk3y0TvE8vI6b7TScnYHrdL1PbMk4th26NHq59DJpOh8NIlZOfmIScnF7dLS1t1n1QqhUs/Z3h6eMDTwx3WXDZHTRAEAcdOnET8vv0K18zNzfHIQ1Ph7KT4R3xjTJaJABw5egz7DhwUtU2bOkXpxjFSn59+3YLsnFxR29zZs+Ds1Lddz1dZWYVtO3YiOzdX4dq9TZ4RYaH8o6gdBEFAWnoG4vbEK8zWAEA3a2tMfGA8BvR3afG5Diccxf6Dh+SPWUZOtwmCgGUrV6P4xg15m7ubK2Y+8nCHnvPa9evIzslFTm5eqyps3NO7tyO8PDzg5eGBnj1t2x0DdS51dXXYtjMO6RmZCtd6OThg+rQH0a1bt1Y9F5NlIgD19fX4ZvlK0cyGjU03PL14EQwNuVpJE3LzzuLHn38RtQUHBWLi+HEdet57SwR27YlXuuHMzdUVkyeMZ2LWBuXl5di2Mw65eWeVXg8OCkTsyBFKP5JXpqKiEp9/9bVoZ3pMdBSihw5RSbykWvkFBdi4abOo7bGZ0+Hav7/KXuPWrdvIyctFdk4uCi9dbnWVDNsePeDl6QFPDw/06e3IP4S7qLI7d/DTL78q3b/i6+2NSRPGt2kpHpNlov85k5WNX377XdQ2cngMhkQO0ko8XUltbS2+XbkKpaVl8jZzMzM88+RimJmZqeQ1btwowZatWxXWQwOAhbk5Jk+cADfXASp5rc4s80wWduzahaqqaoVrVpaWmPDAOLi7urb5ebdu247UtHT5Y0tLSzz3zFM8LlkHbfrpZ+SdzZc/7mlri6cWL1RbYlpRUYHcvLPIzs3FuYLzrS73ZWVpCU8Pd3h6esDFmUdvdxWXLl/GT79sUSg9CgDDh0Vj6ODINv9bZbJM9D+CIGDd9xtFm42MjY2x5MknYGnJWUd1it+3H0fv21UPAJMnPoBAf3+Vvk59fT32HTiI4ycTlV4fGB6GkcNj+GmCEpWVldgRtxtnsrOVXvf388XY0aNhZta+jVdXrl7FyjXrRG08VVP33Lx5C18tWy5qGz92DMJCgjXy+rW1tTibfw45uXnIPXtW6RIgZUxMTODh5gZPD3cevd2JpaSlYfvOXQp/UBkbG2Pq5IntrobEZJnoPkVXrmDV2vWitpCgQEzo4FIAatq169excs06UR3Wfs7OmPPYTLXNVOWfK8Dvf25DhZKZBwd7ezw4eRLs7Hqq5bX1UXZOLrbvjENFZaXCNQtzczwwbqzSGthtxTJyui9u9x6cPHVa/tjU1ATPL3lGK8lnQ0MDzl+8iJycXGTn5qG8vLxV98mP3vb0gIebOywszNUcKanb3Zr6+xQOyQHuVuOZMW1ah36mM1kmamTrn9uQmp4hfyyRSLBo/lz0cnDQYlSdk7LZfKlUiicXLlD7Rp2Kigr8sX2H6OPkewwNDRE7aiRCg4O69JrHqqpqxO3Zo3SDDAD4eHlh3JhYlSUbmWey8OvvW0VtC+c9zjJyOqKmpgafffm1qFpN5MAIjB45QotR3SUIAi4XXUFO7t11zo1r6TZFIpHAqW9feHm6w9PDA91bUaKSdEtVVRV++W0rCs6fV7jW38UF06ZO7vByPibLRI3cuXMHXy1bISqc79LPGbMfVd9MZ1eVlJKKbTt2itqihgzG8GHRGnl9QRBw6nQSdu/dp3QdpKeHOyaOHwdz864385SXn49t23fijpLZOjMzU4wfMwa+Pt4qfU2WkdNtJxJPYdeeePljiUSCZ596olU10DXtxo0SZOfmIjs3F0VFV1p9n4O9/f82CLrDwd6eP/N13PXiYmz+5VfcunVb4drA8DCMHjlCJadAMlkmUuLQkQQcOHRY1DZ92oPw9Oj4R810V0VFJb5evgLV1X9tFOve3QZPLlyg8QNDrl8vxpatf+B6cbHCNUtLS0yZOKFVJdA6g5qaGuzeu090UM/9PNzdMGHcWFiq6ehwlpHTTYIg4OtlK3Dz1i15m5eHBx6Z9qAWo2qdsrIy5OSdRXZOLi5cbP7o7fvZ2HSD5/9K0jn17cOjt3VMTm4efvvjT4WDkAwMDPDAuDEICghQ2WsxWSZSoq6uDl8vW4Gy+2a4enTvjqcWL+SOahX5/c9tSLtvuQsAPDZjOlwHqK78VFvU1dVh7/4DovWY94scNBAjhkV36ve/4Px5/LFtB0rLyhSumZiYYOzoUQjw91PrbBvLyOmm3LNn8eNP4tKOcx57FC79nLUUUftUVVXjbH4+snNycfZcG47eNjeHp7sbPD08MKC/CzcBa5EgCDhy9Jjoj+p7LC0s8Mi0B9G3Tx+VviaTZaImpGdm4retf4raRo8cgciBEVqKqPMoOH8B3/+wSdTm6+ONh6ZM1lJEf8k9exZ//Lld6TG8jr164cHJk2Br2/pTyvRBbW0t9u4/gMTTSUqvD+jfH5MeGAdra2uNxMMycrpnw6Yfca7gvPyxg709Fi+Yp9fLFOrq6nDu/Pm7lTVaOHr7fkZGRvD39cGwqKGw4umBGlVbW4s/tu/AmSzFqjy9HR3xyLQH1XKiI5NloiYIgoA1332Py5eL5G0mJiZ49qknuuQaVlWpr6/H8lVrRBtwTExM8PQTi2Clpo/226q8vBy//7kd5woUj3A2MjLC2NhRCAoI0OtE4Z6LhZewdds2pWv+jI2NMXrkCIQEBWp0rCwjp1uKi2/g25WrRG0THxiH4MBALUWkevKjt/93gmBrjt42MjJC5MAIDB40kKXoNKC0tBSbf/lVaa18fz9fTBg3Vm1L+JgsEzXj0uXLWLP+e1FbWEgIxo+N1VJE+k/ZevBxsaMRHhaqpYiUEwQBJxITsXf/QaWb/7y9PDFh3Lh21xXWtrq6Ouw/dBjHT5xUer2fszMmTRivteoALCOnO7bv3IXTycnyx+ZmZnj+2Wc67VIE8dHbubh2XXEvw/0sLSwQEx2FoMAArmtWkwsXC/Hzlt9Q2ah8pUQiwcjhMYgcGKHWP+iZLBO1YMvWP5CReUb+WCKR4ImF82FvZ6fFqPTTzZu38O3KVaLks7ejI+Y/Pltnf8lcvXYNW37/AzdKShSuWVtbY+qkCejnrF/rNi8XFWHrn9uVjsnQ0BAjh8cgIixUqzPnLCOnG6qqqvH5V1+L1vYOHTwYI2I0U7FGF9y6dRvZuXcT54uFl5rsZ29nh1EjhsN1QP9O8amTrjidnIKdu3YrbMw0MTHBQ1Mma+TkVSbLRC0oLS3F18tXor6+Xt7mOqA/HpsxXYtR6R9BELDxx59ESxskEgkWznscjr16aTGyltXV1WF3/F6cTk5Ren3o4MEYFjVE59fU1tfX49CRBCQcOw5lP/r79umDyRMe0Ik12SwjpxuOHj+B+H375Y+lUin+9sxTalkXqg/u3LmDg4cTkJyaqvR7CAAG9HfBqBHDWZu/gxoaGrBrz16cSlLcS2HbowemP/wQetqqtx7/Pbo5lUOkQ7p166awqS//XAHy8hUPs6CmncnKVlgDHBEWqvOJMnB3beID48bikYceVLrs4sjRo1j3/UZRWS1dc/XaNaxetx5Hjh5T+CVvYGCAUSOGY+7sx3QiUQbuxtT4COXMM1lKT10k9ZDJZEg8La4O4+3l2WUTZQCwsrLChPFj8cSC+U3OaJ4rOI8Vq9fij23bRRWVqPUqKyuxYdNmpYmym+sALJg7R2OJMsBkmahVhkQOUqgruyde+UEWpKi6ulp0mAFw95dOTHSUliJqHy9PDzyxcAFc+vVTuHa5qAgrVq9FWnpGkzNO2tDQ0IBDRxKwau16pWsvezv2wuL58zB40ECdWwoTEhQkmq1vaGhocnafVC83Lw+lpeIyghFhYVqKRrfY29vh0emP4LGZ0+Fgr3xJXkpaOr5etgIHDh1WqAVMTbt2/TpWrV2PCxcvKlwbPGggZjw8Daammt0rols/GYl0lLGxMUbGDBO13Sgpwemk5CbuoPvtP3gI5Y1mBMeOHgUTExMtRdR+1lZWmP3oDIwcHqOQXNbW1uL3P7fhtz/+FB22oi3Xi4uxZv33OHDosMJ6P6lUipjoKMybMxt2dj21FGHzLCzMFSpgnEpK5h+pGnIi8ZTocW9HR/Tt01tL0egm1/79sWj+PEyaMF5pNZ+6ujocOpKAL79djqTklFYfiNJVZWXnYM367xWqkRgaGmLqpIkYNWK4Vv6oZ7JM1EoB/n4KSwYOHjmCqlbW5uyqLhcVKdTvdXdzhZen/p6GKJFIMCRyEObNmY0e3bsrXM/IPIMVq9eKqjlokkwmQ8Kx41i5Zh2uXL2qcN3B3g4L5z2O6KG6v846olGVlPLycmRl52gpmq7j6rVruHCxUNQ2MDyMG9eUkEqlCAoIwDNPLkZMdJTS8mUVFRXYtjMOy1etQV5+vk59+qQLBEHAgUOH8fOW3xQOirGyssLc2Y/B389XS9ExWSZqNYlEgthRI0VtVVXVOHQkQUsR6T6ZTIbtO3eJ2gwNDTEudnSn+KXbp7cjFi+Yh6BAxWNVb5eWYt33G3Hw8BGNziaVlNzEuu83Yu/+AwozsBKJBEMHD8bCeXP1ZvORY69ecOrbV9TW1CmLpDqNv8aWFhbw8fbSUjT6wdjYGNFDh+DZp55ASFCQ0p9xxTduYNPmn7Fh02ZcvXZNC1HqntraWvz8629Kf5f27dNHJ6rgMFkmaoN+zk7w9vIUtSWeTlJagovu/sJt/AthWNRQ2Gipdq86GBsbY9ID4/HQlMkKy0oEQcDBw0ewfsMPrTrkoCPu1oU+heWr1+DS5csK13va2mL+43MwIkb/juxuPLt86fJlFF25oqVoOr+KikqkZ2SK2kJDgvXu3422WFpa3t0EuHA+3FxdlfYpOM9NgABw6/ZtrFn/PbJzcxWuBQUGYM5jM3XisComy0RtNGrEcNEvDZlMhj1792kxIt1UVlamcPiIXc+eGBQRrqWI1MvXxxtPLpwPZ6e+CtcKL13C8lVrRPW6VenW7dv4buMm7NoTLypxeE/kwAgsXjAPfXrrZ41iL08PhWOFObusPkkpKaJPJQwMDBAaHNzMHaSMvZ0dHp3+MGbNnAEHe3ulfVLS0vHVt8ux/+ChLrcJsOD8Baxaux7Xi8UbjyUSCcaMHoWJ48fpzME3TJaJ2qi7jY1Cwpd3Nh/5So5G7sri9sQr/PB/YNyYTj071a1bN8x57FHEREcpfARbU1ODLVv/wNZt21FTU6OS1xMEAaeTkrF81RqlO8d7dO+OubNnYfTIETrzS6c9WEZOcxoaGnCq0R4DXx9vWFpaaCki/TegvwsWzZ/b5CbA+vp6HE442mU2AQqCgJOnTmPDph8V9vyYmprisRnTdW59PJNlonYYOjgSFubmorY98fs6/Q+51srNO4vsHPHHasGBAXB2ctJSRJojlUoRPXQI5s2ZBRubbgrXU9PSsWLNWlwuKurQ65SWlWHjjz9he9wupTNS4aEhWLxgntKZbn3EMnKakZWdgzvl5aI2lovruHubAJc89USX3gTY0NCAbTvjELd7j8L47Hr2xMJ5j2NAfxftBNcMJstE7WBiYoLhjUrJXS8uRlJKqpYi0h11dXXYuXu3qM3czAwjhw/XUkTa0bdPHzyxYL7SHdy3bt3G2u824MjRY23+A0sQBKSkpWHZytUKh7wAQLdu1pj96AyMGxMLY2Pjdseva1hGTjMaL29x6tsXvR11/+AgfWFkZCTfBBga3LU2AZaXV+C7jZuQrOT3pIe7G+Y/rry6kC5gskzUTkEB/grr0A4cPKQT9XW16eCRBIWDDEaPHAFzczMtRaQ9JiYmmDppIqZOmqiQuMpkMuw7cBDf//AjysrKmngGsfLycmz+5Vf8sW2H0qUcIUGBeHLhAvR3cVFF+DqHZeTU63LRFYXNoQPDOausDpaWlnhgXNfZBHjl6lWsWrdeaTnNqCGDMX3aQzpdd5/JMlE7SaVShVJylVVVOJxwVEsRad/168U4fuKkqK2fsxMC/P20FJFu8PfzxRML5qOPkgMdLly8iGWr1jSb9AmCgIzMM/h25Srk5p1VuG5lZYVHpz+CCePH6fQvnI5iGTn1OtnoEBJrKyu9roeuD9q6CVBV+x00KfNMFtZ+t0FhUsDIyAjTpk7B8GHROrU+WRkmy0Qd0N+lHzw93EVtJxJP4ebNW1qKSHsEQcD2uF2iZQVSqRQPjB2r8z8INaF7dxvMmz0LUUMGK3w9qqur8fOW37Btx06F9ccVFZX45bffsWXrH6iqUvzUIsDfD08uXAA31wFqjV9XsIycetwpL0dmVpaoLSw0ROeOQO+s7m0CnDzhAYXKL8BfmwC/WrYCp/VkE6AgCNh74CB+/X2rQpWebtbWmDdnlt7U7uZ3AVEHNT5+UyaTIX7ffi1GpB0pqWkKH7ENiRyEnj1ttRSR7pFKpRg+LBpzHnsU3aytFa4npaSKTt3LzsnBspWrlM46W5ibY/q0BzFl4gSYmZmqPXZdwTJy6nE6KVmUgBkaGiIkKEh7AXVBUqkUgQH+WPLkYgwfFq10z0FFRQW268EmwJqaGvz48y9IOHpM4ZqzU18snPe43hyMBAASQVe/0kR6ZHf8Xhw/mShqm/PYTLj066eliDSroqIS36xYIZr57G5jgycXLVC665vuziZv2xmHM1nZCtekUin6OTuj4Px5pff6eHth/JhYmDeqyNJVHE44iv0HD8kfGxgY4PklT8PCguXN2qO+vh5ffPUNKior5W0hQYGYMH6cFqOi8vJyHDx8BEkpqU0mxf1dXDB65HCdSjxLbt7E5p9/VXpYV2hwEMbGjta7EqKcWSZSgeihQ2BmJt7Atjt+r158VKYK8fv2KSwRGDc2lolyM0xNTfHQlMmYNGG8wtdJJpMpTZTNzMzw0JTJmDZ1SpdNlAGWkVO1zKwsUaIMAOGNlruQ5t3bBPjkwgVwd2t+E+BWHdkEmH+uAKvXrVdIlKVSKcaPicUD48bqXaIMMFkmUglTU1PEREeJ2q5eu47U9HQtRaQ55y9cQGp6hqjN19sbbgO6xhrajpBIJAgKCMDiBfNaLM/l6eGOpxYtgK+Pt4ai010sI6c6giAobOxz6devyc1mpHl2dj0x85G7mwB7OSh/X1K1vAlQEAQcP3kSP2z+CdXV4tc3NzPDrJkzEBYaovG4VIXJMpGKhAYHwa5nT1HbvgP6uXu5terr67F95y5Rm4mJCWJHj2ziDlLGtkcPzJszG0MiBylcMzExwZSJE/DIQw/CUsnpX10Vy8ipRuGly7hyVVzLd2A4Z5V10d1NgPN0bhNgfX09/ti2Hbvj9yksF3Gwt8PCeY/DpZ+zRmJRFybLRCqirJRcRUUFjhw7rqWI1O/o8RMouXlT1DZiWLTSI12peQYGBhg5PAazH50JB3t7GBgYwNvTE08tWoAAfz9WFGmEZeRUo/Gsso1NN7i7uWkpGmqJRCJp2ybAs+rdBHinvBzrN/yg8OkiAHh7emLenNmwsbFR2+trCjf4EanYD5t/xtn8fPljAwMDPPPEok7xA+N+N2/ewrcrV4k++u7t2AvzH5/DclMq0NDQoJdr+zQp80wWfv19q6ht4bzH0dvRUUsR6ZfSsjIs/fpbUTIVO2oEBkVEaDEqaovy8or/bQJMaWYTYD+MHjlC5ZsALxddwU+//KpwPDoAxERHKS2Tqa/4G41IxWJHjhD9gGhoaED8/gPaC0gNBEHAjl27RYmyRCLBA+PGMlFWESbKLWMZuY45dTpJlGAZGRkhKCBAixFRW1laWuCBcWNa2AR44a9NgK08LbQlaRkZWPf9BoVE2cjICI88NBXRQ4d0mkQZYLJMpHI9e9oivNFGhjNZ2bhYqHjMp746k5WNcwUForaIsFA49mp+kxqRKhkYGCAsJFjUlnkmCxUVFVqKSH/U1dUhKSVF1BYU4A9T065Ts7szafUmwGUrOrQJUCaTYc/effj9j20KG2ptbLph/uOz4eXp2a7n1mVMlonUIHroUIVfOrvj43W2gHxbVFdXY9eeeFGblZWVQjUQIk1gGbn2Sc/IVCj3yHJx+k++CXBiC5sAv12ucBBNS6qrq7Hpp19w7MRJhWsu/fph4dy5nbaKCpNlIjUwNzfDsKFDRG1FV64iPSNTSxGpzv6Dh1DeaOZu7OiRMDEx0VJE1JWxjFzbCYKgsFzFdcAA9LTlaZudgUQiQaB/C5sAKyuxPW5XqzcB3rhRgtXrvkP+uXMK1yLCQvHYjEdgbm6m5M7OgckykZqEhYbAtkcPUdve/QdQW1urpYg67nLRFSSeThK1ubm6dsqP3Uh/sIxc25y/cAHXi4tFbQPDw7QUDamLkZERooYMxpInn0BocLDSNcTFN25g008/Y8OmH3H12jUlzwLknc3H6vXfKVQ+kkqlmDB+nF6eyNdWTJaJ1MTAwACjR44Qtd0pL8fR4ye0FFHHyGQybN8ZJ2ozNDTEuDGjO9VGDtI/LCPXNo2/NrY9esB1QH8tRUPq1qZNgH9uk28CFAQBCceOY9NPPyuscbYwN8ecxx5FSFCg2uPXBYbaDoCoM3N3c8WA/i44V3Be3nb0+AkEBwWim7W19gJrh8RTpxVmHqKHDkH3TlYSj/RTRFgoCi/9tYn20uXLKLpyhWXkGrl16zZycvNEbRFhofyDtwu4twnwXMF5xO/bh6vXriv0SU3PQGZWNgZFROB26W1kZJ5R6OPYywGPTHtI736HdQRnlonUSCKRIHbkSNEvovr6euzbf1CLUbVdWVkZ9h86LGqz69kTkQNZj5V0A8vItc7J0+KviYmJCQID/LUUDWlDazYBHjl6VGmi7OvjjbmzZ3WpRBlgskykdvb2dggJChK1pWdm4tLlIu0E1A679uxVWGv9wLgxnX6dGukPlpFrWW1tLVJS00RtQYEBSjeAUefWmk2AjY2IGYYHJ0+CkZGRBiLULUyWiTQgJjpKoVrE7vi9elFKLvfsWWTliDdLBQcGwNnJSUsRESnHMnLNS01LV1h7GhHKcnFdWWs2ARobG2PGw9MwdHBkl12uw2SZSAMsLMwRNWSwqO3S5cvIPJOlpYhap66uDnG79ojazM3MMHL4cC1FRNQ0lpFrmrJycR7ubuje3UY7AZFOaWoToG2PHlgwdw483N20GJ32cYMfkYZEhIXidHIybt26LW+L338Anh7uOvux1qEjCbhdWipqGz1yRKeup0n6LSIsFKlp6fLH98rINU6iu5r8cwUKpb9YLo4au7cJsKTkJsrulKGfszOkUs6r8itApCGGhoYYPUI8I1tWVobjJxO1FFHzrl8vVjipqZ+zEwL8/bQUEVHLWEZOuROJp0SP7e3s4NKvn5aiIV1na9sD/V1cmCj/D78KRBrk6eGBfs7OorYjR4/hzp07WopIOUEQsD1ul+goVKlUivFjx3TZNWukPxofUnKvjFxXdaOkROHkNZaLI2o9JstEGiSRSDBm9EhRW11dHfYfPKSliJRLSU0T1awFgMGDBsGuZ08tRUTUeiwjJ5bYaOxmZqbw9/PVUjRE+ofJMpGG9XJwQHBggKgtJS0dRVeuaikisYqKSsTv3y9q625jg6ghkVqKiKhtWEbuL9XV1Ui5bw03cLdqiK7ukyDSRUyWibRAWV3L3fHxOlFKLn7fPlRVVYvaxo2J5S9X0issI3dXSloa6urq5I8lEgnCQkO0GBGR/mGyTKQFlpaWGDpYPFN7sfASshvVM9a08xcuIDU9Q9Tm4+0FN9cBWoqIqH1YRg6QyWQKy0+8PT273OlrRB3FZJlISwZFhKNbN/EvrT379qO+vl4r8dTX12NH3G5Rm4mJCcaMGtnEHUS6rfFGv3tl5LqKvLNncfu2uPRjRDgPISFqKybLRFpiaGiIUY0O97h9u1ShxJOmHDtxEjdKSkRtw4dFK2yUItIXXb2M3IlE8VgdezkofD2IqGVMlom0yMfbS+GX1+GEoygv1+xGpJu3buFwwlFRW2/HXgqbpIj0TVctI3ft+nWcv3BB1BYRHsZycUTtwGSZSIskEgliGy1zqK2txYFDhzUWgyAI2Llrt2j5h0QiwfixY1mQnvReVy0j17hcnIW5OXy9vbUUDZF+429CIi3r09tR4VS85NRUXL12TSOvfyYrG/nnCkRt4aEh6O3YSyOvT6ROTZWR0/SnN5pUWVmFtIxMUVtoSDAMDQ21FBGRfmOyTKQDRsQME5VmEwQBu+P3qb2UXHV1NXbtiRe1WVlaYviwaLW+LpEmKSsjl5SSor2A1CwpJUX0SZFUKkUol1QRtRuTZSIdYG1lhcGDBorazl+4gNy8s2p93f0HD6G80UENY0aPgomJiVpfl0iTulIZOZlMhlOnk0Rtvt7esLK01FJERPqPyTKRjhg8aCCsG62t3LN3n9p+oV8uuoLERr9U3Vxd4e3lqZbXI9KmrlJGLjsnF2V37ojaIsLDtBQNUefAZJlIRxgZGWHk8BhR281bt5B4WvWbkWQyGbbvjBO1GRoaYtyY0dwtT51SVykj17j0ZJ8+vdGnt6OWoiHqHJgsE+kQP18f9G70i+3g4QRUVlaq9HUST51W2EAYPXQIutvYqPR1iHRJZy8jV3TlKgovXRK1DQzjrDJRRzFZJtIhEokEY0aNErXV1NTg4OEjKnuNsjt3sL9RaTq7nj0ROTBCZa9BpIs6exm5k6fEs8pWlpZcVkWkAkyWiXSMU98+8PUR10M9lZSM4uIbKnn+XXviUVtbK2obP3aMqFoAUWfUmcvIlZdXIPNMlqgtLDSE39dEKsBkmUgHjRweI6qJKggCdu/d1+HnzTubr7CpKSgwAP2cnTr83ET6oLOWkTudLK7uYWBggJCgIO0FRNSJMFkm0kE23bopLIvIP3cOefn57X7Ouro67Ny1W9RmZmaGUcNj2v2cRPqmM5aRa2howOmkZFGbv58vLCzMtRQRUefCZJlIRw2JHATLRrVR98S3v5TcoSMJuF1aKmobPXI4zM35C5W6ls5WRu5MVrZCvfTGYySi9mOyTKSjjI2NMSJGfJLejZISnE5OafNzXS8uxrETJ0Vtzk5OCPT370iIRHqpM5WREwRBoVxcP2cn9HJw0FJERJ0Pk2UiHRbo7w/HXuJfegcPH0ZVVXWrn0MQBGzfuQsymUzeJpVK8cC4MaypTF1WZykjd7moSCHuCJaLI1IpJstEOkwikSB21EhRW1VVNQ4daX0puZS0NIXaq4MHDYRdz54qiZFIH3WWMnKNZ5W7dbOGp4e7lqIh6pyYLBPpuH7OzvD2FNdKTTydhBslJS3eW1FRifh9+0Vt3W1sEDVksEpjJNI3naGMXNmdOwprrcNDQyGV8lc7kSrxO4pID4waMVxU7komkykkwcrE79+vsGRj3JhYGBkZqTxGIn2j72XkTp1OFi2vMjIyQnBgoBYjIuqcmCwT6YHu3W0wMFy8DjE37yzOFZxv8p7zFy4iNS1d1Obj5QU31wHqCJFI7+hzGbn6+nokJYvLxQX4+cHMzFRLERF1XkyWifRE1JDBsGhU5m13/F7RzNI9DQ0N2BG3S9RmbGyMMaNHKvQl6sr0tYxcemYmKquqRG0sF0ekHkyWifSEiYkJYoaJS8ldLy5GckqqQt+jx08orGkeMSxaYUMTUVenj2XkBEHAyURxjAP6u8DOjpt2idSByTKRHgkODICDvZ2obf+hw6iu/mtd8s1bt3A44aioj2OvXggLDdFIjET6Rt/KyF24WIhr16+L2iLCWS6OSF2YLBPpEalUitEjxUspKisrcfjoMQB3Z5x27tqD+vp6+XWJRIIHxo3lDnmiJuhbGbmTp8Tl4np07w53V1ctRUPU+fG3J5GeGdDfBR7ubqK2EycTcfPWLZzJykb+uXOia+GhIejt2EuTIRLpFX0qI3f79m3k5OaJ2sLDQnnAEJEaMVkm0kOjR44QzRTLZDLs3LUHu+L3ivpZWVpieKN1zkSkSF/KyCWeToIgCPLHxsbGCArgsfVE6sRkmUgP2fbogfBG6yzzz51DeXm5qG3M6FEwMTHRZGhEekkfysjV1tYiOVW8oTcowJ/f40RqxmSZSE9FDxkCMzOzJq+7uQ6At5dnk9eJSEzXy8ilZWSiurpG1BYRxo19ROrGZJlIT5mZmSImaqjSa4aGhhgXG8t1jERtoMtl5O6WixNv7HN3c0WPHt21FBFR18FkmUiPhYYEw66nYm3V6KFD0L27jeYDItJzulpG7tz58wq101kujkgzmCwT6TGpVIrRo0aI2nra2iJyYISWIiLSb7paRq7xrHJPW1sMcHHRTjBEXQyTZSI95zZgAGJHjYCVpSX69OmNGQ9PE+3qJ6LW08UyciU3byLvbL6oLSI8jMusiDTEUNsBEFHHDYqIwKAIziYTqUJIUBAOHUmQV8K4V0YueugQrcST2Ghm29TUBAF+vlqJhagr4swyERHRfXSpjFxNTQ1S0tJFbcFBQTA2NtZ4LERdFZNlIiKiRnSljFxKWjpqa2vljyUSCcJDQzQeB1FXxmSZiIioEV0oIycIgsISDE8Pd9h066bROIi6OibLRERESmi7jFze2XzcvHWrUUwsF0ekaUyWiYiIlNB2GbmTp8Tl4hzs7dHP2Uljr09EdzFZJiIiUkKbZeSKi2/gXMF5UdtAlosj0gomy0RERE0ICQoS1S2/V0ZO3RrPYJubmSlU6CAizWCyTERE1ARtlJGrqqpGWkaGqC0kOBiGhjwagUgbmCwTERE1Q9Nl5JJTU1FXVyd/LJVKERYa3MwdRKROTJaJiIiaockycjKZTKFcnLeXJ6wbbTQkIs1hskxERNQCTZWRy8nNQ2lZmahtYDjLxRFpE5NlIiKiFmiqjNyJRHG5uN6OjujTu7fKX4eIWo/JMhERUQs0UUbu6rVruFhYKGpjuTgi7WOyTERE1ArqLiN3stGssqWFBXy8vVT2/ETUPkyWiYiIWkGdZeQqKiqRnnlG1BYaEixKzolIO5gsExERtZK6ysglpaSIkm4DAwOEBrNcHJEuYLJMRETUSuooI9fQ0IBTp5NEbX4+3rC0tOjQ8xKRajBZJiIiagNVl5HLys7BnfJy8WuwXByRzmCyTERE1AaqLiN34pR4Y59T375w7NWr3c9HRKrFZJmIiKgNVFlG7nJRES5fLhK18RASIt3CZJmIiKiNVFVG7mSieEba2toaXp4eHQ2PiFSIyTIREVEbqaKM3J3ycmRmZYnawkNDIJXyVzORLuF3JBERUTt0tIzc6aRkyGQy+WNDQ0MEBwaqLD4iUg0my0RERO3QkTJy9fX1OJ2ULGoL8POFubmZyuIjItVgskxERNRO7S0jl3kmCxWVlY2eixv7iHQRk2UiIqJ2ak8ZOUEQcCJRXC7OpV8/2NvbqTw+Iuo4JstERETt1J4ycoWXLuHqtWuiNpaLI9JdTJaJiIg6oK1l5BrPKtvYdIO7m6u6wiOiDmKyTERE1AFtKSNXWlqK7JxcUVtEWCjLxRHpMH53EhERdVBry8glJiVDEAT5YyMjIwQFBKg9PiJqPybLREREHdSaMnJ1dXVIbrQ8IyjAH6ampuoOj4g6gMkyERGRCrRURi49IxNVVdWiPuGN7iEi3cNkmYiISAWaKyOnrFycm+sA9LS11Vh8RNQ+TJaJiIhUoLkycucvXEDxjRuiazyEhEg/MFkmIiJSkabKyDWeVbbt0QOuA/prOjwiagcmy0RERCqirIzcicRTyM07K2qLCAuFRCLRZGhE1E5MlomIiFSo8Ua/qqoq0WMTExMEBvhrMiQi6gAmy0RERCqkrIzc/YIDA2BsbKzBiIioI5gsExERqVjj2eX7hYeyXByRPmGyTEREpGLKysgBgKeHO7p3t9F8QETUbkyWiYiIVExZGTmA5eKI9BGTZSIiIjUICQoSHWXdu7cjXPo5azEiImoPiSAIgraDICIi6owKL11GwrFjMDU1xYhh0bC2ttZ2SETURkyWiYiIiIiawGUYRERERERNYLJMRERERNQEJstERERERE1gskxERERE1AQmy0RERERETWCyTERERETUBCbLRERERERNYLJMRERERNQEJstERERERE1gskxERERE1AQmy0RERERETWCyTERERETUBCbLRERERERNYLJMRERERNQEJstERERERE1gskxERERE1AQmy0RERERETWCyTERERETUBCbLRERERERNYLJMRERERNQEQ02+mCAIWLZyNYpv3FB63crSEkOHDEZwYAAMDTUaGpFeycrO0XYI1Iw7d+5oOwQiImqFiPCwFvtIBEEQNBCL3JWrV3Hg0GHknc1vsk83a2tEDR2CQH8/GBgYaDA6Iv3AZFm3MVkmItIPOpks33PpchEOHj6M/HMFTfbpbmOD6KFD4O/nC6mUK0aI7mGyrNuYLBMR6QedTpbvuVhYiAOHjuD8hQtN9rHt0QPRUUPg6+3NpJkITJZ1HZNlIiL9oBfJ8j3nL1zA/oOHUXjpUpN97Hr2xLCoofD28oREItFgdES6hcmybmOyTESkH/QqWQbubgA8d/48Dhw8jMtFRU32c7C3w7CoKHh6uDNppi6JybJuY7JMRKQf9C5ZvkcQBJzNP4cDhw7jytWrTfZz7OWAYdFRcHd1ZdJMXQqTZd3GZJmISD/obbJ8jyAIyM3Lw4FDh3HtenGT/fr07o2Y6CgM6O/CpJm6BCbLuo3JMhGRftD7ZPkeQRCQlZ2Dg4ePNFmjGQCc+vZFTHQU+rv002B0RJrHZFm3MVkmItIPnSZZvkcmkyEzKwuHDieg5ObNJvu59HNGTHQ0nJ36ajA6Is1hsqzbmCwTEemHTpcs3yOTyZCekYlDRxJw6/btJvsN6N8fMdFR6Nunt+aCI9IAJsu6jckyEZF+6LTJ8j0NDQ1ITc/A4SMJKC0ra7Kfu5srYqKj4NirlwajI1IfJsu6jckyEZF+6PTJ8j0NDQ1ITknF4aPHmv0l5eXhgWHRQ+Fgb6/B6IhUj8mybmOyTESkH7pMsnxPfX09Tien4MjRY6ioqGiyn4+3F4YNHQo7u54ajI5IdZgs6zYmy0RE+qHLJcv31NXV4VRSEhKOHkdlVVWT/fx9fREdNQS2PXpoMDqijmOyrNuYLBMR6YcumyzfU1tbi5OnTuPYiROoqqpW2kcikSDA3w/RQ4age3cbzQZI1E5MlnUbk2UiIv3Q5ZPle2pqanAi8RSOnTiJmpoapX2kUimCAvwRNWQwunXrpuEIidqGybJuY7JMRKQfmCw3UlVVjeMnT+JE4inU1tYq7SOVShESFIShQyJhbWWl4QiJWofJsm5jskxEpB+YLDehsrIKR0+cQOKp06irq1Pax8DAAGEhwRgSOQiWlpYajpCoeUyWdRuTZSIi/dCaZFmqgTh0jrm5GUYNj8Hfnn4SgyLCYWhoqNCnoaEBJxJPYek3y7Bn335UVFRqPlAi6tJGjhiOWbMea3X/hIQExAyLxsCIcEQNHaLGyNqH4+F4NInj4XhUpUvOLDd2584dJBw7jtPJKWhoaFDax8jICAPDwxA5MAJmZmYajpB0xSOPPIItW7agoaEBFhYW+PLLLzFv3rwm+1+4cAETJkzAmTNnIJPJYGRkhNdeew1vvvlmh+Jo68zynDmzcSoxUdRmZGSE1LT0Ju95dskzOHjwIOrr6yGVSuHp6Ym169bD2tq63c+pShkZGfj788+hqKgIgiDA2NgY/3nrLUyePKXJe8rLy7F48SKkp6WhoaEBBgYGmDhpEv773/fkfS5fvoynn3oSZ8/mQxBkMDQ0xBNPPIlnlixpdWyqmlkuLCyEqakp7OzsWtV/0sQJqKysxCeffoYe3bvDydlZJXGoCsfD8WgSx8PxtEZrZpYVp1S7ICsrK4yNHY3IQQNxJOEYklNTIZPJRH3q6upw5OgxJJ5OwsDwMAyKCIepqamWIiZteO655/Dzzz9j3rx5mDJlCl555RUsWLAAERER8PX1VehfXl4OHx8fWFhY4KuvvoK/vz9Onz4NR0dHLUQPGBsb48fNP8kfm5iYNNn37bffwt69ezHz0Ucxfvx4nD59Gku/+ALz583FL79uaddzqlJhYSFmzpiOPn364O133oWTkxOSk5Pg4ND8KZ3jx41FZWUlnnv+eQQHByP/bL7oe72iogKTJk6AmZkZ3njjDbh7uONM5hn0bOUPc1VzcnJqU//S0lJ4e3sjMDBQTRF1DMfD8WgSx8PxqApnlpW4ffs2DiccRUpaOpr68piamiBy4EBEhIVqLEEg7bK0tMSAAQOQlpYG4O4hOCYmJhg9ejTi4uIU+j/66KP4+eefUVpaCnNzc5XG0p6Z5fS0NCSnpLaq/+RJE3Ht2jUcP3FS3jZt2kO4cP48Ek+dbtdzqtKM6dORfy4fiYmnWn3Pt99+iy+XfoG4uF1w7tdPaZ9//ONF7IqLw4mTiR16z1Q1szxyxHA49u6NDRs2YnDkIISGhuHKlSIUFhZCKpUiNjYW/3nrbQDAwIhw0b3BwSFYtny5SuJQFY7nLxyP+nE8f+F4msY1y+1kY2ODiQ+MxzNPLEaAvx8kEolCn+rqGuw/eAhLv1mGhGPHm6yuQZ1DeXk5Kioq8MADD8jbDA0N4eLigtRU5clifHw8+vbti9DQUEilUpiamiI2NlZr/1Zqamrg5+sDfz9fjBo5AsnJyU32DQsPR1lZGbZsuTuLfPLkSeTl5iKg0V/0bXlOVcrKOgNnJycMjxkGXx9vBAcF4pWXX272np07tsPauhtefvll+Pn6IMDfDw9Pewi3b9+W9zl29Ch69eqFh6c9BF8fbwQFBmDBgvk68/2dmHgSnl5e+PKrrxEREYG4uDgcO5oAANiwYSOMjIzg5e2NDRs24t1339VytC3jeHQbx6PbOB7NYbLcjB49umPKxAl4atFC+Pp4K+1TVVWFvfsP4MtvluH4ycQmq2uQfsvNzQUA9O/fX9Rua2vb5CxiaWkpzp8/j4aGBnz33Xd44oknEB8fjzFjxqg93sYGDRqEOY/PxSeffoYlS5bg9u3bmDN7Fq5fv6a0/xtv/AujRo/G66+9Ch9vL8x9fA6cnfth9eo17X5OVaqrq0NWVhYcHR3xwYcfYXRsLP788w/8643Xm7znxo0bKCsrxaVLhXjr7XfwxBNPIjs7GzOmPyLvU15ejsuXL0MmE/De++/jkUem4/ixY1i0aKHax9Qajo6OePfd/yIiIgKfff4FJBIJduzYCQBw9/CARCKBmakZ3D08YNuzp5ajbRnHo9s4Ht3G8WgO1yy3Qs+etnhoymREDR6Mg4ePICtH8SPwispK7I7fi2PHT2Do4EgEBwUqrbJBXYcgCDAwMEBGRgaMjY0xa9YsnD9/Htu2bdN4LE8//Yzo8YSJkzB61Eh8/tln+O977yv0X79+HfbGx2Py5MkYPmIE0tPSsXbtGsybOxdr161r13Oqmrm5OX7Y9OPd154wAXm5udixYwfeevsdpf3vLan6+Zdf5evGq6qqsGbNaty+fRs2NjYQBAFSqRRb//gDxsbGmDRpMi5fvoQDBw6qfTyt4XLfH2tSqRRGRkYoKbmhxYg6huPRbRyPbuN4NIczy21gb2+Hhx+aisUL5sHD3U1pnzvl5di5ew++Wrai2eoapF88PDwAAAUFBaL2kpISWDVxeI25uTmsra1hbGwsbwsNDYVMJkN5ebn6gm2FPn36wMzMTGE893z11Vfw9fXFe+9/gNjYMXjxH//Aww8/ghMnjqO+vr5dz6lKBgYGsLe3F7W5urqiulr5sfYAYG1tDUNDQ9EGy7D/rVXLzMwEAJiamsLS0kr0nvn6+UEQZKioqFDlENpF2R/gMpn+bjvheHQbx6PbOB7NYbLcDr0cHDDj4WlYOO9xuLkOUNqnrKwM23fG4etlK5CSmqZQXYP0i6WlJSwsLLB9+3Z5W319Pc6fP9/kzlwfHx+UlZWJksuUlBRIpVKtH3RTXFyMqupq2DVKOO9pqK+HRCL+8WBgaAAATf5bbuk5VcnBwQHFN8QzDgUFBc1WqAkMCkJ9fT2Ki4vlbffWWN+rZuLm5oaKinLRe5adlQWpVAoLCwtVDoGIiPQEk+UO6O3oiEenP4J5c2ajv4uL0j63S0vxx/Yd+Gb5SqRlZDBp1mMLFixAeno6Fi1ahG3btsHf3x+CIODjjz8GcHdmMzIyUt7/s88+Q0NDA0JCQrBr1y78+9//xu+//44RI0ZoPPaHpz2E77/7DqdPn8LmzT9i0sQJkAB47rnnAQCxo0dh5ozp8v5+/v5IT0/Du++8g8TERKxcsQI/bd6MXr16yWddW3pOdXpmybOoKC/HggXzcezYUbz99lvIysrCpEmT5X1mzpiO2NGj5I9feullSKVSPPLwNOzbtw8bvv8ea9esQf/+/WFjYwMAeOX//omGhgZMe+hBHDl8GF99+SX27t2LgQMHqX1MRESkm7ioVgWc+vbB7Edn4MLFizhw6DAuXCxU6HPz1i38/sc2HEk4hmFRQ+Hj7aW0ygbpri+++AJFRUVYu3YtVq1aBQsLC6xcuRJ+fn4A7i7JuP89HThwIJYvX44XXngBY8eOhaGhIUaNGqWVNcs3b97EBx+8D5lMBqlUCgcHB3z2+RdwdXUFcHcz4v2xr1ixEk88sRibN/+IjRs3QCqVwtXVFd98u6zVz6lOU6dOxaXCQqxevQrHjh6FkZERJk6chH/dd9jLzZs3UVpaKn9sZ2eHr7/5Fv/3ystY8szTkEql8PL2xqpVq+V9AgMD8e9//wcffvgBFi9eBAMDAwyKjMS3942biIi6FtZZVjFBEFBw/gIOHDqMS5cvN9nP3s4Ow6KGwsvTg0kztVlb6yyTZqmqzjIREalXa+osM1lWE0EQkH+uAAcOHUbRlStN9uvl4IBh0UPh4ebGpJlajcmybmOyTESkH5gs6wBBEJB79iwOHjqMq9euN9mvt6MjYqKj4DqgP5NmahGTZd3GZJmISD8wWdYhgiAgOycXBw8fwfX7duM31rdvH8RERaG/Sz8mzdQkJsu6jckyEZF+YLKsgwRBwJmsbBw8fAQ3Skqa7NfP2Qkx0dHo5+ykwehIXzBZ1m1MlomI9AOTZR0mk8mQkXkGB48cwa1bt5vs19/FBcOHRaFvnz6aC450HpNl3cZkmYhIPzBZ1gMymQyp6ek4fOQobt9X5qoxN1dXxEQPRe/7Th+jrovJsm5jskxEpB+YLOuRhoYGpKSm4XDCUZQ184vW08Mdw6KGopeDgwajI13DZFm3MVkmItIPTJb1UH19PZJSUnHk6DGUl5c32c/byxPDoobC3s5Og9GRrmCyrNuYLBMR6Qcmy3qsrq4Op5OTkXD0OCoqK5vs5+fjg+ioIehpa6vB6EjbmCzrNibLRET6gclyJ1BbW4vE00k4evwEqqqqlPaRSCTw9/NF9NAh6NG9u4YjJG1gsqzbmCwTEekHJsudSE1NDU6eOo1jJ06gurpGaR+JRIKgAH9EDR0Cm27dNBwhaRKTZd3GZJmISD8wWe6EqqurcfxkIk4knkJNjfKkWSqVIjgwEFFDImFtba3hCEkTmCzrNibLRET6gclyJ1ZVVYVjJ07iROIp1NXVKe1jYGCA0OAgDBkcCStLSw1HSOrEZFm3MVkmItIPTJa7gIqKShw9cQKJp06jvr5eaR9DQ0OEhQRjSOQgWFhYaDhCUgcmy7qNyTIRkX5gstyFlJeXI+HYcZxKSkZDQ4PSPkZGRogIC0XkwIEwNzfTcISkSkyWdRuTZSIi/cBkuQsqu3MHRxKOISklBTKZTGkfY2NjDAwPQ+TACJiammo4QlIFJsu6jckyEZF+YLLchZWWluJwwlGkpKU3mTSbmJggcmAEBoaHwcTERMMRUkcwWdZtTJaJiPQDk2XCrVu3cSghAWnpGWjqrTYzM0XkwIGICAuFsbGxhiOk9mCyrNuYLBMR6QcmyyRXUnITh44kID0zs8k+5ubmGBI5CGEhwTAyMtJgdNRWTJZ1G5NlIiL9wGSZFBQX38DBw0dwJju7yT6WFhYYOjgSIcFBMDQ01GB01FpMlnUbk2UiIv3AZJmadO36dRw4dBg5uXlN9rG2ssLQIYMRHBgAAwMDDUZHLWGyrNuYLBMR6Qcmy9SioitXcfDwYeSdzW+yT7du1ogeMgQB/n5MmnUEk2XSJCb/RNRZMVmmVrt0uQgHDh3GuYKCJvt0726D6KFD4O/rC6lUqsHoqDEmy6RJTJaJqLNiskxtdrGwEAcOHcb5Cxeb7GPboweGRQ2Fj7cXk2YtYbJMmsRkmYg6KybL1G4F5y/gwKHDKLx0qck+dj17YljUUHh7eUIikWgwOmKyTJrEZJmIOismy9QhgiDgXMF5HDh0GJeLiprsFxIUiAnjx2kwMmKyTJrEZJmIOqvWJMv8DJ2aJJFI4DqgP+Y/PhszHpkGx14OSvslpaTi5s1bGo6OiIiISP2YLFOLJBIJPNzcsHDeXDzy0INwsLdT6JOVw5lOIiIi6nyYLFOrSSQSeHl6YPGC+fD38xVdY7JMREREnRGTZWoziUSCAD8/UVtR0RWUlpVpKSIiIiIi9WCyTO3i0s8ZpqamorbsnFwtRUNERESkHkyWqV0MDAzg6e4mamOFBiIiIupsmCxTu3l5eYoeXywsRHl5hZaiISIiIlI9JsvUbq79+8PY2FjUlpPLpRhERETUeTBZpnYzNDSEu6urqI1VMYiIiKgzYbJMHeLdaCnG+QsXUVVVpaVoiIiIiFSLyTJ1iJvrABgaGsofy2Qy5Oad1WJERERERKrDZJk6xNjYGK4D+ovauBSDiIiIOgsmy9Rh3p7ipRj55wpQU1OjpWiIiIiIVIfJMnWYh7sbpNK//ik1NDQg72y+FiMiIiIiUg0my9Rhpqam6O/iImrjaX5E1NjIEcMxa9Zjre6fkJCAmGHRGBgRjqihQ9QYWftwPByPJnE82huPRBAEQaOvSJ1SUkoqtu3YKX9sZGSEfzz/NxgZGWkxqo555JFHsGXLFjQ0NMDCwgJffvkl5s2b12T/qVOnYvv27airq4OBgQECAgKwb98+2NjYAAC+/PJLvPPOO7hx4wZkMhn+7//+D++99167YuvIaYmLFi1EwpEj8PLyxpbfflPa543XX8Ovv/6q0H4mK1v+/3PmzEZqSgrq6uoAANbW3fDSSy/hoWnT2h1be7RmPADw7JJncPDgQdTX10MqlcLT0xNr162HtbU1AMDfzxcNDQ0K97m7u2PrH3+qLf57MjIy8Pfnn0NRUREEQYCxsTH+89ZbmDx5itL+P/zwAz779BNUVlZCEAQYGRkhKioKX339jbzPP158AfHx8aitrQUAmJubY/6CBXj66WfaFNudO3faPa77FRYWwtTUFHZ2dq3qP2niBFRWVuKTTz9Dj+7d4eTsrJI4VIXj4Xg0ieNRz3giwsNa7GPYYg+iVvB0d8d2SRzu/e1VV1eH/HMF8PL00HJk7fPcc8/h559/xrx58zBlyhS88sorWLBgASIiIuDr66vQ/5lnnsHvv/+Op59+GjNnzsThw4fx+uuvY+TIkTh9+jQA4NatW3B3d8fcuXPx4YcfanpIAIDffvsNx48dg4mJSav6b/ntd/n/37/UBribREZHRyMgIBB37pThk48/xhtvvI6g4GC4Nqq/rS6tHc/bb7+FvXv3Yuajj2L8+PE4ffo0ln7xBebPm4tfft0CAPh96x/yxB8Ajhw5jE8/+QQPPvSQWscA3P2lMXPGdPTp0wdvv/MunJyckJycBAeHXk3eY21tjclTpiAyMhI2NjbY9uc2bN78I15++SV8+OFHAABnZ2csWrQYQcHBEGQyfPPtN/jqyy/h6emJkSNHqX1cjTk5ObWpf2lpKby9vREYGKimiDqG4+F4NInj0d54OLNMKrN+ww+4cPGi/LG/ny+mTpqoxYjaz9LSEgMGDEBaWhoAoL6+HiYmJhg9ejTi4uIU+gcEBODSpUu4efOmvC0sLAy5ubkoKytT6C+RSDQ+s1xcXIyRI4bjb889h5UrVqBPn74tzizfP5PckqtXr2LE8Bi8+I+XsGDBgjbH11ZtGc/kSRNx7do1HD9xUt42bdpDuHD+PBJPnVZ6z4NTp+Ls2TykpKYp/KGgajOmT0f+uXwkJp7q0PMMi46GsbEx9sTHN9nHx8cbUyZPxn/fe7/Vz6uqmeWRI4bDsXdvbNiwEYMjByE0NAxXrhShsLAQUqkUsbGx+M9bbwMABkaEi+4NDg7BsuXLVRKHqnA8f+F41I/j+Ysqx9OamWWuWSaVaXxASW7eWaUfa+u68vJyVFRU4IEHHpC3GRoawsXFBampqUrviYqKwq1bt7B27VoAwIEDB5Ceno5BgwZpJObWmPXYo3B3d8fChYtafY+/ny/8fH0QHTUUe/c2nYBVVFTgP/9+EwAwYsSIDsfaGm0ZT1h4OMrKyrBly91Z5JMnTyIvNxcBTcxQVFRUICcnG+EREWpPlAEgK+sMnJ2cMDxmGHx9vBEcFIhXXn65Tc+xbds23LhRjLCwUKXXa2tr8e477wCCgFGjY1URdoclJp6Ep5cXvvzqa0RERCAuLg7HjiYAADZs2AgjIyN4eXtjw4aNePfdd7Ucbcs4Ht3G8eg2XR4Pl2GQynh5eiBu9x7545qaGpw7f17hSGxdl5t7d3Ni//7i+tG2tra4du2a0nu+/vprXL16FfPnz8f8+fMBAD4+Pti9e7d6g22ld995B9euXcPPvyiuQ1bG3z8AUqkUAwdFouTGDaxYsRzPLlmCzT/9BH//AHm/L5cuxbff3l0jK5VK8e5/31P4uqlDW8fzxhv/QnFxMV5/7VW8/tqrAABXVzesXr1Gaf+lS7+AIAh48cUXVRZzc+rq6pCVlYWgoCC8+I+XcOjQQfz55x8wMTHGW2+/0+y9fr4+kMlkAICBAwfhvfc/EF3fvXsXnn/uOfnjZ55ZorE/aFri6OiId9/9L4C7n8QMjhyEHTt2InLwELh7eEAikcDM1AzuHvqxnIvj0W0cj27T5fFwZplUxtrKCn379BG1dZWqGJ9//jl+//13zJkzB7/88gtefvll5OTkYOTIkdoODampqfjhh4344MOP5JvZWvLI9On4z1tvY/z48Zg9Zw527d4DQ0NDfNAoEXv0scewes0avPXW23Bycsa/3ngdZ8+q9wTH9oxn/fp12Bsfj8mTJ+PzL77AggULUVBwDvPmzlXa/88//oCtrS18fBTXp6uLubk5ftj0IyZMmIAPP/wInp6e2LFjR4v3rV23Hp9/8QUmTpyEkydP4J133hZdHzJkKFavWYP3P/gAgYGB+Oabr7Fv3z51DaNNXO77w0oqlcLIyAglJTe0GFHHcDy6jePRbbo8Hs4sk0p5e3ng0uXL8sc5Obl4YOwYjXyUrSoe//urtaCgQNReUlICKysrpfe8+eabCAkJwfr16wEADz30EMrKyrBs2TLU19eLjgTXtL3x8RAEAX9//jlRe3Z2Fny8vZCSmgZjY+Nmn8Pc3By2tra4cqVI1G5ra4vIyMEAgGkPP4wAfz+8//57WLVqtWoHcZ/2jOerr76Cr6+vfNY1NnYMysvLsXnzjwrvT1JSEm7fvo1FixerbQyNGRgYwN7eXtTm6uqKvLy8Fu8ND7+7li82dgyKi4vx0+bNeP31N+TXLSws5O/RpEmTMWjgQHz6ycc6Mbus7PtCJtPfbTQcj27jeHSbLo+HyTKplJenJ/bs3S9/XFlVhQsXC9HfpZ8Wo2obS0tLWFhYYPv27fINePX19Th//jxGjx6t9J66ujqFPwjufePf+4hcW2bNnoWAgABR2yuvvIwePWzxyiuvtJgoA3fXu968eRPu7u7N9hMEQV6mTF3aM56G+npIJOL3x8DQAIDi+/P5559BIpHiqaeeVnHkTXNwcEDxDfEMSkFBAUxNTdv0PDKZDC3v2RZEVT+IiKh5TJZJpbrb2KCXgwOu3re2NzsnR6+SZQBYsGABli5dikWLFmHy5Ml46aWXIAgCPv74YwB3Z/3s7e1x7NgxAEBERAQOHjyIv/3tb5g2bRqOHj2KZcuWwcnJSZ68Xb16FQcPHpS/RlZWFjZv3gxnZ2dERkaqbSz29g4Y1SjJN3zNEFZWVvL22NGjYGtri00/bgYAzH38cQweMhhBQcG4fu0aPvvsU9TV1eHpZ5YAuDvL/uySZ/Dggw9hgKsrLl0qxDfffIOGhgY8/vjjahtLe8fj5++PU4mJePeddxA7ZgxSkpPx0+bN6NWrlyi5rq+vR3JSEvz9/ducqHbEM0uexWuv/hMLFszHwoULER8fj6ysLMyYMVPeZ+aM6SgpKcHuPXc3Wr7w9+fh4uKC0LC7M8vbt/2JkydPIDg4RHTPAw9MgLePN0pKSrB2zRqUlZVhwYKFGhsbEZG+Y7JMKuft5SlKlrNycjE2djQkEokWo2qbL774AkVFRVi7di1WrVoFCwsLrFy5En5+fgDuJov3jycuLg7jxo3Dt99+iy+//BIGBgbw9vbGtm3b5H1+/PFH/P3vf5c/3rp1K7Zu3QpXV1e1r/NtSWlpqWg8d+6U4culS9HQ0ACJRILu3bvjw4/++ujeyMgIly8X4d//fhMymQxSqRQ9evTAu/99Tyv1extrPJ4VK1biiScWY/PmH7Fx4wZIpVK4urrim2+Xie5bs2Y1GhoasGTJEo3GO3XqVFwqLMTq1atw7OhRGBkZYeLESfjXm2/K+9y8eROlpaXyxw0yGdasWYNly+6OwcTEFOPHj8f7H/xVw/v27VJ88MH78vfRysoaf//7CxpdYkJEpO9YZ5lU7saNEnyzYqWobd6c2XDq26eJO6itOnKCH1FbqarOMhGRrmGdZdKKnj1tYdezp6gtK4fJHREREekfJsukFo2Puc7OzmnFxiMiIiIi3cJkmdSi8Wl+t0tLReuYiYiIiPQBk2VSCwd7e3S3sRG1cZ0tERER6Rsmy6QWEokEXo1ml7O4FIOIiIj0DJNlUhtvT3GyXHLzJm7cKNFSNERERERtx2SZ1KZPb0eF46FZFYOIiIj0CZNlUhuJRALvRlUxuG6ZiIiI9AmTZVIrr0ZLMa5dv46bt25pKRoiIiKitmGyTGrl7NQXFubmojbOLhMREZG+YLJMaiWVSuHp0eiAkpxcLUVDRERE1DZMlkntvLzEyfLloiKUlZVpKRoiIiKi1mOyTGrXv18/mJqaiNqyOLtMREREeoDJMqmdgYEBPNzdRW1ct0xERET6gMkyaUTjA0ouFhaivLxCS9EQERERtQ6TZdII1wH9YWRkJGrLyeVSDCIiItJtTJZJIwwNDeHu5ipq47plIiIi0nVMlkljGi/FOH/hAqqqqrUUDREREVHLmCyTxri7ucLQ0FD+WCaTITcvT4sRERERETWPyTJpjLGxMVwH9Be1ZeWwKgYRERHpLibLpFGNl2LknytATU2NlqIhIiIiap5hy12IVMfdzQ1SqRQymQwA0NDQgLP55+Dr463lyIioKVZWVtoOQaXu3Lmj7RCISI9wZpk0yszMFP1d+onaeEAJERER6Somy6RxjZdi5OXno66uTkvREBERETWNyTJpnKeHByQSifxxXV0d8s8VaDEiIiIiIuWYLJPGWViYw9nJSdTGqhhERESki5gsk1Z4e3qIHufmnUVDQ4OWoiEiIiJSjskyaYWXl3jdck1NDQrOX9BSNERERETKMVkmrbC2skKfPr1FbVyKQURERLqGyTJpTeOqGDk5ufL6y0RERES6gMkyaU3jZLmyqgoXLhZqKRoiIiIiRUyWSStqamqQX1AAAwMDUXs2l2IQERGRDuFx16QxgiDgctEVJKWkIPNMltKDSK4X39BCZERERETKMVkmtauurkZaRiaSU1Jw7Xpxs32dnfpqKCoiIiKiljFZJrUQBAGFly4jOSUFmVnZqK+vb7Z/N2trRISHYmB4uIYiJCIiImoZk2VSqaqqKqSlZyApJRXFN5pfUiGRSODp7o6Q4CAM6O8CqZRL6ImIiEi3MFmmDhMEARcLC5GUnIoz2dktnsRnY9MNwYGBCAoMgJWlpYaiJCIiImo7JsvUbpWVlUhNT0dScipKbt5stq9UKoWnx/9mkV1cIJFINBQlERERUfsxWaY2EQQB5y9cQFJyKrJzc1ucRe7RvTuCgwIR6O8PS0sLDUVJREREpBpMlqlVyssrkJqejuSUVNy8davZvgYGBvDy9EBIUBBc+jlzFpmIiIj0FpNlapIgCDh3/jySklOQk5vX4lHUtj16ICQ4EAF+/rCwMNdQlERE2jFyxHA49u6NDRs2tqp/QkICXnv1n6iqqoKxsTEOH0lQc4Rtw/FwPJqkT+ORCIIgaOzVSC/cKS9HSmoaklNTcft2abN9DQwM4OPlhZDgQDg7OXWaWeQxY8bgyJEjqKyshEQigYODA9asWYNx48Y1ec+cOXOwdetW3LlzBwBgY2ODTz75BPPmzZP3ycjIwJQpU1BQUACZTAZbW1ts2rQJo0ePblN8WdltO+mwtrYW8+fNQ2pqChoaGmBgYICwsHCsXrOmySokH3/0EX799ReUlZVBEASYm5tj0aJFeOLJp+R9rl+/hiefeBJ5eXeX5Jibm+O119/A1KlT2xRfe2RkZODvzz+HoqIiCIIAY2Nj/OettzB58hSl/X/44Qd89uknqKyshCAIMDIyQlRUFL76+ht5n4ULFyA5KQlVVVWQSCSwtbXFu//9L6KiotU6lva8P2NiR6OwUPF4eCMjY6SmpQEANnz/PZYvX4Zbt25BJpNh4cJFeOHFF9U6FkB9/95U9f7c+x7tqMLCQpiamsLOzq5V/SdNnIDKykp88uln6NG9O5ycnVUSh6pwPByPJunKeCLCw1rsw5llAgDIZDLkFxQgKTkFuXln0dLfUHY9eyIkKBAB/n4wMzPTUJSac/r0acycORMTJ05ETU0NlixZgokTJ6KoqAj29vZK7zl06BDGjRuHqVOnwsrKCs899xzmz58Pf39/hIWFQSaTITIyElKpFGvWrIG9vT1eeOEFjBs3rtnnVYWnnnoSyclJeOqppxE5OBLx8fFYv24dnn/+OSxd+qXSe44ePYqAgECMHTcO9vb2+PqrL/HFF1+gT18nTJgwAQAwY/p0lJTcxCuv/B9c3Vzx7bff4rVX/wl3d3f4+fmpbTyFhYWYOWM6+vTpg7ffeRdOTk5ITk6Cg0OvJu+xtrbG5ClTEBkZCRsbG2z7cxs2b/4RL7/8Ej788CMAwJnMTIwfPx4xw4ejtrYO777zNp5+6ikcOHgItra2ahtPe96fdeu/Q2npX3/M1tXVYsb06QgMCpS3ld0pg7NzP0yZMhWrV69SW/yNqevfm7ben6Y4OTm1qX9paSm8vb0RGBjYcmct4Hg4Hk3Sp/FwZrmLK7tz5+4sckoqSsvKmu1raGgIX28vhAQHoW+fPp1mFrk1srKy4OPjg6VLl+LZZ59t1T21tbUwMTHBokWLsGLFCuzatQtjx47F77//jsmTJwMA6uvrYWxsjNmzZ2P9+vWtj6eNM8tDhwyGlZU1dsbFydtihkXDyMgIe+L3tvp5AgMCEBwcjHXr1+P27dsYHDkITz/9DJbc9zUJCQ6Ct7cPNv7wQ5tibIsZ06cj/1w+EhNPdeh5hkVHw9jYGHvi45Vez8/Px8QJD+DVV1/DrNmzO/RazVHF+/PpJ59g1aqV2LDxB4SEhChc9/H20tjMsjr+vSnT3vdHVTPL93+MPDhyEEJDw3DlShEKCwshlUoRGxuL/7z1NgBgYIT4wKXg4BAsW75cJXGoCsfzF45H/XRlPK2ZWeYpEF2QTCZDTl4efvz5F3zx1Tc4cOhws4myvZ0dxsWOxgt/W4LJEyfAqW/fLpUoA0BRUREAoG/f1h/HfeN/h7L06nV3trO8vBwAYGVlJe9jaGgIqVSKhAT1rr3y9PLCpUuFOHL4MABg586dKC4ubtPH1/X19WhoqIdNdxsAQG1tDQDAzFy8Pt3AwABnz+apJvAmZGWdgbOTE4bHDIOvjzeCgwLxyssvt+k5tm3bhhs3ihEWFtpkn+vXrwH46z1UF1W8P7/9tgXdunVTmihrmjr+vSmjqfentRITT8LTywtffvU1IiIiEBcXh2NH735vb9iwEUZGRvDy9saGDRvx7rvvajnalnE8uo3j0Rwuw+hCSktLkZyahuTUtBZnVoyMjODn443goCD06e3Y5ZLj+9XX1+PRRx+FlZVVm9bixsbGwtDQEC+88AIAYNy4cTAwMMDjjz+OQ4cOwc7ODg8//DAaGhpw+/ZtNUV/1/LlKzDrscewePEiedvgIUPwrzffbPVzPPP005AJApYsuTuLbG/vAHNzc6xYvgyRkYPg5uaO9/77X1RUVMDQUL0/Wurq6pCVlYWgoCC8+I+XcOjQQfz55x8wMTHGW2+/0+y9fr4+8s2qAwcOwnvvf6C0X319PV76xz9gYWGBUW1cU95WHX1/zpzJRElJCWbPmaOuENtEHf/eGtPk+9Najo6OePfd/wIAwsLCMDhyEHbs2InIwUPg7uEBiUQCM1MzuHt4aDnS1uF4dBvHozlMlju5hoYG5J3NR1JKCs7mn2uxfy8HB4QEB8Hf1wcmJiYaiFD3BQYGoqSkBMeOHWv1PWPHjsWZM2fw008/wcbGBgBgbm6OdevWYdGiRRgwYAAAwNbWFnZ2di2uEe+oD95/HxkZ6XjssVkIjwjH0YSj+Pnnn/CvN15vMbkEgLfffguHDx/CCy++CDc3N3n7V19/g789uwTTHnoIAGBmZoY+ffrg+vXrahvLPebm5vhh048AgAkTJiAvNxc7duxocTxr163HrVs3sTd+L7Zt+xPvvPM2Xn/9DYV+U6dMQWlpKX7YtEkt8d+vo+/Pp59+ColEgr/97Tm1x9oa6vr3dj9Nvj+t5dK/v/z/pVIpjIyMUFJyQ4sRdQzHo9s4Hs1hstxJ3bp9G8kpqUhJS5d//N8UY2Nj+Pn4ICQ4CL0ddePjTF0REBCAnJwc7Nu3D+Hh4S3fgLuJ265du7B+/XpMmzZNdG3WrFmYNWsWLl68iIqKCnh7e8PS0hL97/shoQ6bNv2A2NhYvPb66wCA2NgxuHjxIrZu3dpi8vLuO+9g0w8/4Omnn8HChYtE1wYNGoSTiadQUlKC4uvX4OXtgxHDY0RLTdTBwMBAYUOkq6sr8vJaXv5x732MjR2D4uJi/LR5s0KyPHnSRBQUnMPadevh7x+gusCb0JH3RyaT4eSJE/Dy8oKFhW4c/KOuf2/3aPr9aS1ln6jIZPq7LYjj0W0cj+YwWe5EGhoakJObh6SUVJwrKGixf29HR4QEB8HPxxvGxsYaiFB/yGQyBAUFITMzE3FxcYiObt1ay/Hjx2Pnzp1YuXIl5jTzkbjz/0re7NmzBxUVFXj00UdVEndTBEFQKNklNZC2OKP9zjtv44eNG7Fo8WLRJr7GbG1tYWtri8LCQly9ehUTJk5USdxNcXBwQPEN8YxDQUEBTE1N2/Q8MplM9DWQyWSYOmUy8vPzsXzFylb/gdRR7X1/AOD7779DfX09nnrqaXWF12bq+vemrfeHiLo2JsudwM2bt5CUmorU1DRUVFY229fExAT+vr4ICQ5ELwcHDUWofwICApCZmYnPP/8cDg4OSPtf3dq+ffuiR48eAO7OZNrb28uXZ4wbNw5xcXH4xz/+gYiICPk99vb28g1IL7zwApydnREUFITdu3fjww8/RO/evfHPf/5TrePp27cv4uLi4OLSH5GDI3Fg/wEcO3oUfn7+8j4zZ0xHSUkJdu+5Wxni7bffwqYffsC4ceMwbtx4ZGdnAwC6desGR0dHAMDyZd9CJtxdX5aSnIxvvvka5ubm+Pe//6PW8Tyz5Fm89uo/sWDBfCxcuBDx8fHIysrCjBkzmxzPC39/Hi4uLggNu5tgbd/2J06ePIHg4L82xE2ZPAlnz57FP//5KmxtbeVj7tWrl3w5jTq05/25Z8P3G2Bubq503W5xcTESExPlj8+dy8eOHTvg6OiI4OBgnRpPa/69aev9IaKujcmynqqvr0dObh5OJ6fg/IULLfbv26cPQoIC4ePtxVnkVsjMzAQAPP/886L2BQsWYNWqu/VqS0pKRBsf9+zZAwD4+OOP8fHHH8vbhw0bhgMHDgAALly4gKVLl8oPaoiMjMTOnTvVOJK7vt+wAU8+8SSWL1+Gb775GgYGBggKCsaKlSvlfW7evCmq27vtzz8B3K1kcH+MTk5O2LX77lhv3rqFHzZuRENDAyQSKdzcXLFs+QqYm6v3BMepU6fiUmEhVq9ehWNHj8LIyAgTJ04SbSBrPJ4GmQxr1qzBsmXLAAAmJqYYP3483v/gQ3mfs2fPAgDee++/otd76KGH8PY76tt93Z73BwCuXLmCy5cvYeLESUqfd8eO7fjg/fflj/ft24d9+/aJ3kN1UNe/N229P0TUtbHOsp65UVKCpJRUpKWlo7Kqqtm+pqYmCPDzQ3BQIBzUeOAFaV5b6ywT0V9UVWeZiPQfT/DrJOrr65GVnYOklBRcuKh4vG1jTn37IjQ4CN5enjAyMtJAhERERESdE5NlHVZcfANJKSlIy8hAVVV1s33NzEwR4O+PkMBA2Nn11FCERERERJ0bk2UdU1dXhzPZ2UhKTkXhpUst9u/n7IyQ4EB4e3qq/SAIIiIioq6G2ZWOuHb9OpKSU5CWkYmamppm+5qbmSEwwB/BQYHoaWuroQiJiIiIuh4my1pUW1uLzKwsJKWk4vLlohb793fph5CgIHh6uHMWmYiIiEgDmHFpwZWrV5Gckor0zDMtziJbmJsjKDAAwUGB6NG9u4YiJCIiIiKAybLG1NTUIPNMFpJSUlB05WqL/V0H9EdIUCA83N1hYGCggQiJiIiIqDEmy2okCAKuXL2KpOQUZJzJQm1tbbP9LS0tERQQgOCgAHTnaVREREREWsdkWQ2qq6uRkXkGSSkpuHrteov93VxdERocCHc3N0ilUg1ESEREREStwWRZRQRBwOWiIiSlpCLzTBbq6uqa7W9tZXV3LXJgALp166ahKImIiIioLZgsd1B1dTXSMjKRlJyC68XFzfaVSCRwd3NFSFAQ3FwHcBaZiIiISMcxWW4HQRBQeOkyklJScCYrG/X19c3272ZtjeCgQAQF+MPa2lpDURIRERFRRzFZboPKyiqkZWQgKTkFN0pKmu0rkUjg6e6OkOAgDOjvwllkIiIiIj3EZLkFgiDgwsVCJKWkICs7Bw0NDc32t7HphpCgIAQG+MPK0lJDURIRERGROjBZbkJFRSXSMtKRlJyKkps3m+0rlUrh5eGBkOAg9HfpB4lEoqEoiYiIiEidmCzfRxAEFJy/gOSUVGTl5EAmkzXbv0f37ggOCkSgvz8sLS00FCURERERaQqTZQDl5RVITU9HUkoKbt263WxfAwMDeHl6ICQoCC79nDmLTERERNSJddlkWRAEnCs4j6TkFOTk5bU4i2zbowdCgoMQ6O8Hc3NzDUVJRERERNrU5ZLlO3fuICUtHcmpqbh9u7TZvgYGBvDx9kJIUBCcnfpyFpmIiIioi+kSybJMJkN+QQGSklOQm3cWgiA029+uZ0+EBAchwM8XZmZmGoqSiIiIiHRNp06Wy8rKkJyahpTUNJSWlTXb19DQEL4+3ggJCkTfPn04i0xEREREnS9ZlslkyMvPR1JyCs7mn2txFtnB3g4hQUHw9/OFqamphqIkTTuZeErbIahURHiYtkOgLiQrO0fbIaiUlZWVtkNQqTt37mg7BKJOrdMky7dLS5GckoqUtPQWf3AYGRnBz8cbIcFB6O3oyFlkIiIiIlJKr5PlhoYG5J09i6SUVJzNP9di/14ODggNDoKfrw9MTEw0ECERERER6TO9TJZv3b59dxY5NQ3lFRXN9jU2Noafj8//ZpF7aShCIiIiIuoM9CZZbmhoQE5uHpJSUnCu4HyL/Xs7OiIkOAh+Pt4wNjZWf4BERERE1OnofLJccvMmklNSkZqWjorKymb7mpiYwN/XFyHBgejl4KChCImIiIios9LJZLm+vh7ZOblISknF+QsXWuzft08fhAQHwsfLi7PIRERERKQyOpUs3ygpQdL/ZpGrqqqa7WtqaoIAPz+EBAXB3t5OQxESERERUVei9WS5vr4eWdk5OJ2cgouFhS32d3bqi5CgIHh7ecLIyEgDERIRERFRV6W1ZPl6cfHdtcjpGaiurm62r5mZKQL8/RESFAi7nj01FCERERERdXUaTZbr6upwJisbSSmpKLx0qcX+/ZydERocBC9PDxgaan0SnIiIiIi6GI1koNeuX0dScgrSMjJRU1PTbF9zMzMEBgYgJDAQtrY9NBEeEREREZFSakuWa2trkZmVhaTkVFwuKmqxf38XF4QEBcLTw52zyERERESkE1SelV65ehVJyalIz8xEbW1ts30tLCwQFOCP4KBA9OjeXdWhEBERERF1iEqS5ZqaGmScyUJScgquXL3aYn/XAf0REhQED3c3GBgYqCIEIiIiIiKV61CyXFdXh30HDiIpJRV1dXXN9rW0tERwYACCAwNgY2PTkZclIiIiItKIDiXL+w4ewonEU01el0gkcHMdgJCgQLi7uUEqlXbk5YiIiIiINKpDyfL168VNXhsSOQhhIcHo1q1bR16CiIiIiEhrOjTVGxTg3+S17Jxc3Lx1uyNPT0RERESkVR1Klv39fDH94YdgbW2tcK3k5k18/8Mm/P7nNlRUVHbkZYh0xsgRwzFr1mOt7p+QkICYYdEYGBGOqKFD1BgZEVHHdLafbxwPx6MqHV5E7OnujqcXL8SggRGQSCQK19PSM/DNihVITkmFIAgdfTkirVq3/jt89tnnre7/wfvvwdDQECtWrsIPP2xSX2AtiImJgUQiEf1nYmLSZP85c+agW7dukEqlkEql6NGjB9auXSvq8/LLL8PW1hZSqRQSiQSbN29W9zDk2jqel19+GRYWFvK+ZmZmePLJJxX6aGs8AHDq1Cn0799f/vqmpqb47rvvmuyfkpICFxcXGBsbQyKRIDg4WKGPjY2NwtdJIpHA3t5enUNRKiMjA6NHjYSvjzd8vL0QFBiArVt/b7L/Dz/8gPCwUHn/wAB/LHnmaY3EuuH77xE1dAj8fH3g4+2FTz/5RHT9448+QuSggfLYduzY0arnfXbJMwjw94OPtxf8fH3w0INTUVZWJr9eW1uLWY89Bn8/X/h4e8Hfzxfz5s6FTCZT6fiaoq8/35rC8XA8qqKS0nHGxsaIHTkCAX6+2LYzDkVFV0TXq6qq8eeOnUhJS8cD48bA3s5OFS9LpHFOTk5t6l9aWgpvb28EBgaqKaLWMzExwcmTJ0WPm3Lo0CGMGzcOU6dOhZWVFZ577jnMnz8f/v7+CAsLAwCUlZUhMDAQTk5OzSZ16tKW8fTu3RtLlixBVFQUzM3N8dVXX2H58uVwcnLCa6+9BkC74ykoKMCgQYPQv39/rF69Gq6urkhISEDfvn2bvKe8vBw2NjaIjY3Fhg0blPY5ffo0KioqRK8zZcoUTJo0SeVjaE5hYSFmzpiOPn364O133oWTkxOSk5Pg4NCryXusra0xecoUREZGwsbGBtv+3IbNm3/Eyy+/hA8//Eit8ZbdKYOzcz9MmTIVq1evUrheXl4OT08vODr2wtatW1v1nG+//Rb27t2LmY8+ivHjx+P06dNY+sUXmD9vLn75dQsA4KmnnkRychKeeuppRA6ORHx8PNavW4fnn38OS5d+qdIxKqPPP9+U4Xg4HlWRCCqe7pXJZDidnIJ9Bw4qPdpaKpUictBARA8ZDCMjI1W+NFGTTjZTtaUtRo4YDsfevbFhw0YMjhyE0NAwXLlShMLCQkilUsTGxuI/b70NABgYES66Nzg4BMuWL1dJHBHhYW3qHxMTgxMnTqCqqqpdr1dbWwsTExMsWrQIK1asEF07cuQIoqKi8OOPP2L69Ontev626uh4AMDc3ByhoaE4fPiwqF0b4xk0aBCysrJQWlrarvttbGzQv39/JCcnN9tv6tSp+P3333Ht2rU2zS5nZee0K657Zkyfjvxz+Ujs4PfhsOhoGBsbY098fIeepy18vL2wcOEivPDiiwrXTp8+hdmzZuHjTz7F+PHjm32eyZMm4tq1azh+4q8/8KZNewgXzp9H4qnTAIChQwbDysoaO+Pi5H1ihkXDyMgIe+L3Nvncd+7caeuwlNKVn2+qwvH8heNpWmt+n6q8lptUKkV4aAiefmIRfL29Fa7LZDIkHD2Gb1euwtn8c6p+eSKNSkw8CU8vL3z51deIiIhAXFwcjh1NAABs2LARRkZG8PL2xoYNG/Huu+9qNdbq6moYGBjAyMgILi4uOHbsWKvvvXHjBgCgV6+mZwI1rb3jkclk+Oijj1BVVYUHHnhAzVG2TnJyMlxdXdG3b19IpVKYm5tjzpw5Kn+dnTt3wsvLS+PLMLKyzsDZyQnDY4bB18cbwUGBeOXll9v0HNu2bcONG8UICwtVU5TqFRYejrKyMmzZcncW+eTJk8jLzUXAfbNknl5euHSpEEf+9wfczp07UVxcjKioaK3ErE8/31qD49FtujwelR93fY+VpSUemjoZgYH+2BG3C7dvi2dMbt8uxQ+bf4KPtxfGjB4FK0tLdYVCpDaOjo54993/AgDCwsIwOHIQduzYicjBQ+Du4XF3faypGdw9PLQa54gRIxASEoLBgwcjJycH77//PqKionDx4kX07t27xftjY2NhaGiIF154QQPRtqw947l48SL69esnfzx37lz83//9n6ZCblZtbS2Sk5MRGRmJjz76CNu3b8f3338PExMTrFy5UiWvsXbtWtTU1ODlNiapqlBXV4esrCwEBQXhxX+8hEOHDuLPP/+AiYkx3nr7nWbv9fP1ka/ZHThwEN57/wNNhKxyb7zxLxQXF+P1117F66+9CgBwdXXD6tVr5H2WL1+BWY89hsWLF8nbBg8Zgn+9+abG4wX05+dba3E8uk2Xx6O2ZPketwED8NSihTiUcBTHjp9Q2KhwJisb+ecKMGJYNEJDgnlwCekVl/795f8vlUphZGSEkpIbWoxIuX/961+ix7NmzYKLiwteffVVrFu3rtl7x44dizNnzuCnn37SmdM32zOe3r17Iz4+Hjdu3MCGDRuwbt06BAYG4vnnn1d/wK1gaWmJo0ePAgBmzpyJ9PR0/PjjjypLlj/88EOYmppi3rx5Knm+tjI3N8cPm34EAEyYMAF5ubnYsWNHi8ny2nXrcevWTeyN34tt2/7EO++8jddff0MTIavU+vXrsDc+HpMnT8bwESOQnpaOtWvXYN7cuVj7v3+zH7z/PjIy0vHYY7MQHhGOowlH8fPPP+Ffb7ze4tdJHfTl51trcTy6TZfHo/ZkGQCMjIwwMmYY/H19sH3nLhReuiS6XlNTg5279yA1IwMTxo1FLwcHTYRF1GGGhorfQjKZ7ld96devH8zNzZGT0/xa1AkTJmDXrl1Yv349pk2bpqHo2q414zE0NMTIkSMBANOnT4enpyfeeecdnUiWDQwMFGbEfXx8kJGRoZLnv379OrKzszF16lSVPF9bGRgYKCz9cHV1RV5eXov3hoffXasYGzsGxcXF+GnzZr1Mlr/66iv4+vrKZ8ZjY8egvLwcmzf/iPr6ehgaGmLTph8QGxuL115/Xd7n4sWL2Lp1q1aSZX39+dYUjke36fJ4NDqNa29nh7mzH8PE8eNgZmaqcL2o6ApWrlmH3fF7UVtbq8nQiLqUq1evoqqqqtklGOPHj8f27duxcuVKtayfVaXWjKcxQRBQX1+vxqhar2/fvrh69aqoLScnB+bm5ip5/ldfvfux/wcfaGcJg4ODA4pviGeICgoKYGqq+HugOTKZTG9LkDbU10MiEf/KNTA0AAD5J66CICh8uio1kOrtmIk6C43MLN9PIpEgOCgQHu7u2LNvH9LSxTMngiDg+MlEnMnOwbjYUfDUk7U2RLosLCwMs2fPRmhoKDIzM+XJ0zvv3J2tcnV1hb29vXyT3Lhx4xAXF4d//OMfiIiIQFpaGgDA3t5evskvPz8fp06dQnZ2NgDIlxB4e3sjICBAp8YzZswYDB8+HIMGDUJ5eTmWL1+OvLw80R8B2hzPf/7zH8ydOxexsbF45ZVXsGXLFiQnJ+Opp56S94mMjMT169eRn58vb7tXC7qurg63bt3C5s2bYWZmplAa7ueff4aTkxPc3d3VOo6mPLPkWbz26j+xYMF8LFy4EPHx8cjKysKMGTPlfWbOmI6SkhLs3nO30sULf38eLi4uCA27O7O8fdufOHnyBIKDQ9Qeb3FxMRITE+WPz53Lx44dO+Do6Ijg4GBcvHABGZmZKDh3d5N6yv+qkAwYMABeXl4AgNjRo2Bra4tNP959j/z8/XEqMRHvvvMOYseMQUpyMn7avBm9evWCsbExgLt/NMXFxcHFpT8iB0fiwP4DOHb0KPz8mj4tl4jUT+PJ8j0WFuaYMnECAv3vbgAsuXlTdL2srAybf9kCTw93jI0djW5KTgkkota5fv06XnjhBchkMkilUvTp0wc///wzvP9XsaakpER0qNCePXsAAB9//DE+/vhjefuwYcNw4MABAMB7772H1atXy68tXboUS5cuFfXRlfFUVFTgX//6F+rq6iCRSGBhYYG//e1v+OKLL+R9tDmexx9/HPn5+fjwww+xZ88eGBsbY/bs2fjmm2/kfYqLi1FSUiK6b8aMGfL/v3DhAmbMmAEDAwPRjPnOnTtRVlaGf/7zn2odQ3OmTp2KS4WFWL16FY4dPQojIyNMnDhJtHHt5s2botJ5DTIZ1qxZg2XLlgEATExMMX78eLz/wYdqj3fHju344P335Y/37duHffv2wcnJCbt278HKlSvw66+/yq9v2PA9Nmz4HmHh4fjuu+8B3K0Je/+/wRUrVuKJJxZj8+YfsXHjBkilUri6uuKbb5fJ+3y/YQOefOJJLF++DN988zUMDAwQFBSMFSpat05E7aPyOsvtUV9fj4Rjx3Hk6DE0NDQoXDcyMkJMdBQGhodxAyC1i6rqLOuKttZZJuqIjtZZJvVSVZ1loq5IK3WW28PQ0BDDoobiyUUL0N+ln8L1uro67Nm7D6vWrsPloiItREhEREREXZFOJMv32PbogVkzZ2DqpImwULKx5eq161i97jvsiNuN6upqLURIRERERF2JTiXLwN0NgP5+vnj6icUICQpS2udUUhK+Wb4SmWeyuEuYiIiIiNRG55Lle8zMTDFh/FjMnT0L9nZ2CtfLKyrw6+9b8cPmn3Hr1m3NB0hEREREnZ7OJsv3ODv1xaL5czFyeIzSgtX5587h25WrcDjhqNLNgURERERE7aXzyTJw9/SnIZGD8NTihXBzdVW4Xl9fj/0HD2HF6rW4WFiohQiJiIiIqDPSi2T5nu42Npj5yDRMmzoFVpaWCteLb9zAuu834s/tO1BZWaWFCImIiIioM9HaoSTtJZFI4OPtBdcB/bH/4CGcPHVaoU9yahpycvMwetQIBPj5iQrDExERERG1ll7NLN/PxMQEY2NHY+G8x+HYy0HhemVVFbb+uR3f/7AJNxqdekVERERE1Bp6myzf09vREQvmPo4xo0bC2NhY4fr5CxexfNUaHDh0WHQELBERERFRS/Q+WQYAqVSKgRHheHrxQnh5eihcb2howKEjCVi2ajXOFZzXfIBEREREpJc6RbJ8j7W1NR556EHMeHgaullbK1y/efMWNmz6Eb9t/RMVFRVaiJCIiIiI9InebfBrDQ93N7j0c8bBw0dw/GSiwil/6ZmZyMs/i5HDhyMkKJAbAImIiIhIqU41s3w/Y2NjjB45Aovmz0WfPr0VrldX12D7zjis/X4Drl2/roUIiYiIiEjXddpk+Z5eDg6YP2c2xo8dAxMTE4Xrly5dxso16xC//wDq6uq0ECERERER6apOnywDd2szh4UE45knFsHPx0fhukwmw9Fjx/HtilXIO5uvhQiJiIiISBd1iWT5HktLSzw4ZRIemzEd3bvbKFy/XVqKTT/9jJ+3/IY7d+5oPkAiIiIi0ildKlm+x3VAfzy5cAGihgyGVKr4JcjKzsHXy1fiZOIpyGQyLURIRERERLqgSybLAGBkZIThw6LxxML5cHZyUrheW1uLuD3xWLP+O1y5elULERIRERGRtnXZZPkeu5498fisRzFpwniYmZkpXC+6chWr1q7Hrj3xqKmp0UKERERERKQtXT5ZBu5uAAwKCMAzTyxCUIC/wnVBEHAi8RS+WbEKWdk5CnWbiYiIiKhzkgjM/BScv3ARO+J24UZJidLr7m6uGDcmFjbdumk4Mmqvk4mntB0CNcPKykrbIVAzvL08tR2CSmVl52g7BGoGN9iTJkWEh7XYhzPLSrj0c8biBfMQEx0FAwMDhet5Z/Px7YpVOHr8BBoaGrQQIRERERFpApPlJhgaGiJ66BA8tWghBvR3UbheV1eH+H37sWrtOly6fFnzARIRERGR2jFZbkGPHt3x2IzpeHDyJFhYWChcv3a9GGvWf4/tO3ehurpaCxESERERkboYajsAfSCRSODn6wM31wHYu/8gTicnK/Q5nZyM7NxcjBk1Er4+3pBIJFqIlIiIiIhUiTPLbWBqaooHxo3B/Mdnw8HeTuF6RUUFtmz9Axt/3IybN29pIUIiIiIiUiUmy+3Qt08fLJw3F6NGDIeRkZHC9XMF5/HtylU4dCQB9fX1WoiQiIiIiFSByXI7GRgYYPCggXhq8UK4u7kqXG9oaMCBQ4exYvVanL9wUQsREhEREVFHMVnuIJtu3TDj4Wl4+MGpSmvF3igpwXcbf8DWbdtRWVmphQiJiIiIqL24wU8FJBIJvL08MaC/Cw4cOoyTp04rnPKXmpaO3LyzGD1iOAID/LkBkIiIiEgPcGZZhUxMTDBm9CgsmPs4HHv1UrheVVWFP7bvwPoNP6D4xg0tREhEREREbcFkWQ16O/bCgrlzMHb0KBgbGytcv1hYiOWr1mD/wUOoq6vTQoRERERE1BpMltVEKpUiIjwMTz+xCN5engrXZTIZDiccxbJVq5FfUKCFCImIiIioJUyW1czaygoPPzgVMx6Zhm7drBWu37p1Gxs3bcaW3/9AeXm5FiIkIiIioqZwg5+GeLi5wcXZGYeOJOD4yUTIZDLR9YwzZ5CXn4+Rw2MQGhzEDYBEREREOoAzyxpkbGyMUSOGY9H8uejbp4/C9ZqaGuyI24U1332Pa9evayFCIiIiIrofk2UtcLC3x7w5s/DAuLEwNTVRuH75chFWrF6LPXv3oba2VgsREhERERHAZFlrJBIJQoOD8PTixfD39VW4LggCjp04iW9XrEJOXp4WIiQiIiIiJstaZmlpgamTJ2LWzBno0b27wvXSsjJs/vlX/PTLFpSVlWkhQiIiIqKui8myjhjQ3wVPLlqA6KFDYGBgoHA9OzcX36xYpXRzIGnOyBHDMWvWY63un5CQgJhh0RgYEY6ooUPUGFn7dLbxEBHd09l+vnE82huPRGh8LjNp3Y0bJdgetwsXLl5Uet2xlwMeGDcWvR0dNRyZ/jqZeEolz1NYWAhTU1PY2dm1qv+kiRNQWVmJTz79DD26d4eTs7NK4lAVXRmPlZVVm/rPmTMbpxITRW1GRkZITUtX2n9gRDju3Lmj0N6jRw8cSTgKAPj4o4/w66+/oKysDIIg4ONPPsX48ePbFFd7+fv5oqGhQaHd3d0dW//4U+k977//Pjb9sBF1dXUwNjbGokWL8cySJaI+Bw7sxxuvv46SkhIAgJmZGVatXoPg4OA2xaesVnxLTp06hYcffhgXLlyAIAgwMTHBihUrMGfOHKX93dzckJ+fr9BuYmKC6upqAMCYMWNw5MgRVFZWQiKRwMHBAWvWrMG4cePaFFtWdk6z1zd8/z2WL1+GW7duQSaTYeHCRXjhxRfl1+fMmY3UlBT5oVLW1t3w0ksv4aFp05p8ztraWsyfNw+pqSloaGiAgYEBwsLCsXrNGkild+etcnNz8eySZ3D58mXIZDLY2Njgo48/wZAhHUsMmhtPZWUl5s2di5ycbNTW1kIqlaJ37974/Isv4OOjuERQmUWLFiLhyBF4eXljy2+/ia79tHkzPv30E/kno5aWlti9Jx42NjZNPp+y79X20JWfb6rC8ahnPBHhYS32Yek4HdSzpy3mPDYTaRkZ2BO/D5VVVaLrV65ew6q16xE9dAhioqO0FGXX5OTk1Kb+paWl8Pb2RmBgoJoi6hh9Ho+xsTF+3PyT/LGJieJm2Xt+/vkX0ffR5cuX8OySJRg+fLi8rby8HJ6eXnB07IWtW7eqJ+gm/L71D9FpnkeOHMann3yCBx96SGn/zZt/xHfr1yE6ehhmzJyBVStX4euvv4KnpydGjR4NADh+/Dieefpp+Pn54ZX/+yd69uyJ48ePt/kPk/YoKCjAoEGD0L9/f6xevRqurq5ISEhA3759m7xn3759uH37tvxxTU0NBg4ciEGDBsnbTp8+jZkzZ2LixImoqanBkiVLMHHiRBQVFcHe3l5l8ZfdKYOzcz9MmTIVq1evUrju7u6O6OhoBAQE4s6dMnzy8cd4443XERQcDFdXV6XP+dRTTyI5OQlPPfU0IgdHIj4+HuvXrcPzzz+HpUu/hEwmw6MzZ0AqleLtd95Fz562+OD99/HkE4tx4OAh2NraqmU8paWluHjxAqbPmIGhQ4fi2tVreO+9/2LWY48hKTmlxef+7bffcPzYMaXffz9t3ox///tNDBk6FDNmzICxsTGOHDkCQ0PNpB76/PNNGY5He+PhzLKOq6ysQvz+/UhJTVN6feG8uejt2EvDUekfVc0sjxwxHI69e2PDho0YHDkIoaFhuHKlCIWFhZBKpYiNjcV/3nobwN3ZzPsFB4dg2fLlKolDVXRlPO2ZWU5PS0NySmq7Xu/ZJc9g7969OHwkQSEJOX36FGbPmqXRmeXGHpw6FWfP5iElNU0+63i/EcNjUFtbK58VB4Cw0BD0cnTEtm3bAdx9b6VSA+yJj+9wPG2dWR40aBCysrJQWlra7tf85z//iffffx9HjhxpcmY1KysLPj4+WLp0KZ599tlWP3dLM8v38/H2UphZbuzq1asYMTwGL/7jJSxYsEBpn6FDBsPKyho74+LkbTHDomFkZIQ98Xtx5PBhLF68CF9+9RVGjhwFAKivr0dggD8mTZqE997/oNUxd3Q8v/32G1579Z/Y+MOmZj+FKC4uxsgRw/G3557DyhUr0KdPX9HMclhoCLy8vLFh48Y2xaiqmWVd+fmmKhzPX1Q5ntbMLHPNso4zNzfDpAfG4/FZj6GnkpmFi4XKl2qQZiQmnoSnlxe+/OprREREIC4uDseOJgAANmzYCCMjI3h5e2PDho149913tRxty/RpPDU1NfDz9YG/ny9GjRyB5OTkVt97+PBh9O/fv0OzdepSUVGBnJxshEdEKE2UAeD69esKSYy3jw8uX7oE4G6SdeXKFfTt2xeDIwfB18cboSHB+PSTT9QeP/D/7d13VFTXFgbwb4Yi1QJKkxpEARVEAUHFAooJ9hJ7S+ymqLHEWGLy7B1rRMUKxpLYRYyKXey9C5aggjRBpcPM+wOdODD0gWHg+6311npz7rl39haYbA7n7gvcuHED1tbWMDU1hVAohJaWVp7bL/KyceNG6Onp5bsF4fXr1wCQ74p1aUtKSsLvv80EAHh6euY5r56tLV6+jMC5s2cBAEeOHEFMTAw8PFoCAJJTkgEA2to6knNUVVUhEAhw/fr10gpfpri4WACAcQFb/Qb07wcbGxsMGzY817GwsDAkJydDv6Y+nJs0Rn17O7i6OGP79u2lEnNhKNPnW2Ewn7LDYllJWJibYeSwb2FTR/pPfG/e8OElimRsbIw5c+bC1dUVy3yXQyAQICjoCADApm5dCAQCaGpowqZuXejXrKngaAumLPm4ublh0OAhWLJ0Gb7//nskJCRg0MABiI5+U+C5e/bsQXp6OobK+A98ebBixXKIxWJMyGflTyQSwdBI+i9KBrVqSfqyh4WFAQAuXbqIxo0bY9HiJWjcpAk2bFiPbVu3ll7wH6Wnp+PGjRswNzdHYGAgunfvjm3btmH48ML9m1+/fh3R0dH5FtiZmZno168fdHV10a1bN3mFXmgrV6yAvZ0tXJyb4OzZs5gzdx6srKzynO/ntw716zfAiBHDYW9niwk/jYd7s2b4dWZ2od2ihQdUVFTwyy9TEBERgaSkJIwYPhwikUhuK62F8e7dO6xZvRomJiYwMsr7r5ZzZs/GmzdvsGnzFpnHb3785fX4sWNo/+WXWLBwEczMzDB71v9w/vz5Uom9IMry+VZYzKfssFhWIioqKvgix4cxn/SnWJaffT2EQiHU1NQkqzLKSFnyGTPmO0yZMgXt27fHyFGjsf/AQWRlZcF32bICz93ovwHq6uro3r17GURadAcPHIC+vn6hb66SRSTKvlnQxMQEq1avgY+PD9av3wB9fX1s3rxJXqHmS0dHBxcuXEDfvn0REBAABwcH7Nixo1Dn/vLLLxAIBJg1a1aecxwdHREXF4cTJ07IK+Qi6de/P/w3bsT//jcLZmbm+HXGdMkvKbIsmD8fd+/eQf/+A+C7fDl69eqN0AsX8OuM6QAALS0tzJk7Fwlv36K9dzu4ODfB3bt3UKNGDQgEgjLJKTk5GR18voJYDAQE5r0CfOvWLWzfHogFCxehatWqMudkffwedHR0xJw5c9GxY0f8vWcv1NXVsWrlilKJvyDK8vlWWMyn7LBYVjKGBtJ3jcbExsm8i57KhqwbVUQi5b0NQFnzqV27NjQ1NfHs2bN858XFxeHp06do2bJlGUVWNNevX0dCQkKeN/Z9IhQK8SYqSmosOiYG6urqAAALC0sAgLm5hdQcE5PaZdKvXUVFBSYmJlJj9vb2SE5OLvBckUiEkydPolGjRtDR0ZE5x8HBAY8ePUJISAhcXFxkzilt+vr6cHdvhp5ff40jwcEQCASYP39envP//HM7vL29MW36dHh7t8dvv/+Opk3dpG4m7dy5C27cvIUTISdx8NBhXAi9iNTUVNQsg1W05ORkfPVle3z48AH79u3Ld1X5xPHjEIvFGD9uLOztbGFvZ4v379/j4cMHsLezRXp6Or74IvuvoPXq2Uqdq6enh5iYmFLNJS/K+vmWF+ZTdtgNQ8kYGhhKvc7KykJcXDwMDArXeoWoIoqJiUFKaipqFdARwXfZUgDAhAkTyyKsIvP1XQaBQIjRo8fkO8/AwAA3b96UGntw/z5qf9y7q62tDS0tLUREREjNiYqKRLVq1eQasyympqaIylHMP3r0CFpaWgWeu2LFCmRkZGDGjBm5jolEIjRq1Aj37t1DcHBwufqlRywWS7bB5HU85x50oYoQsu6x/7RX+Pz580hJSUGHjh3lG2wOnwrlxMRE/L1nLywsLfOdP2DgADg4OEiN/fzzZOjp6ePnn3+Guro6mjRpAqFQiCc5nkD79u1b2NnZyTsFolLFYlnJaGpqoGrVqlKrQ2+io1ksU6Xydc8e6Ny5C+zr2yMsLAy+y5ZBAGDs2HEAAO92baGvr48/d+yUOi/46FEYGxvLLAb+ffECd+/dw7OnTwH8t+fyiy++gK2tba758paZmYkb16+jYcOG0NDQkDqWM5+Ro0bh999+w5jRo9C7T1/4+29AcnIyxn3MHwD69u0Hf/8N+HnyZHTt1hU7d+5ETEwMps/4tdRz+f333zFkyBB4e3vj559/xp49e3Djxg2MHj1aMsfd3R3R0dG5eiuvWLEC2traMvchOzg44N69e/D19YWhoSFu387uEmRqago9PT25xR8TE4Mrn/Xxfvo0HEFBQTA2Noa5uTl++P47dO/eA19YW+PlywisWbMGWVlZGDx4sOQct6aucHN3h6/vckmMwcHBsLS0gnszd5w6eQqhFy6gQYOGknPmz58PY2Mj2NnZ4/z5c9jo7w8DAwOMGDGy1PKpV68evmzvjfj4eCxavAQZGRl4+PAhgOzWXtra2rnyMTAwlLQo/ER1mip0dXUl40KhEG3atMGJEyewYMF8tGzZEqtXrUZaWhp+/Oz7lEgZsFhWQoYGtXIVyw1R/P2NRMomPj4eCxbMh0gkglAohKGhIZb5Lpf0uE1MTMy1z/Ps2TNI+vABI4aPkHnN9evX4e+//5a8DgjYhoCAbXB2ccHWrdtKL5mPNm70R1ZWFr7P8WARIHc+vXv3wbNnz7E9MACnTp2Curo6vvvue6kCZsLEiYiLj8Ohgwdx8OABVKlSBcNHjEC/fv1KPZfBgwcjPDwcCxcuxLFjx6Curo6BAwdizZo1kjkxMTGSh6V88u+//+LZs2cYOHCgzOveu3cPADBu3Dip8aFDh2LDhtz9kIsrKOgwFsyfL3kdEhKCkJAQmJmZYfdff+PVq9f47beZku8/PT09zJk7T9LyDcjukhEfHy95vS0gAKNGjoKf31qsWbMaKioqaNTICevWr5fMef36FQK2bYVIJIKKigocHRvBb926Us1n7rx5iI3N3hc64afxUuf9PGUKBg8eIjOfwli5ajWGDx+GbVu3YsvmzdDS0sL0Gb9K9c4mUgbss6yEQk6dxrkLoZLX1l9YoX+f3gqMqPyTV59lKh1l8aAMKr7iPMGvPCtKn2Uqe2XZ/YOIfZYrKMMc+zLZPo6IiIiodLBYVkI5i+UPSUlISkpSUDREREREFReLZSWkp1cjV4uVN9GKacVDREREVJGxWFZCQqEQBrWku1+8KcSTy4iIiIioaFgsK6mcDyfhyjIRERGR/LFYVlK8yY+IiIio9LFYVlKGhtLFckxsLB97TURERCRnLJaVlEEt6WJZJBIhNkeDfyIiIiIqGRbLSkpTUwPVqlaVGnsTza0YRERERPLEYlmJ5dyKwX3LRERERPLFYlmJ5dyKwY4YRERERPLFYlmJGeVcWeY2DCIiIiK5YrGsxHK2j0tKSsKHD3zsNREREZG8sFhWYjVqVM/92OsYri4TERERyQuLZSUmFAphkPNJfrzJj4iIiEhuWCwrOaOcT/LjvmUiIiIiuWGxrORy7luOZrFMREREJDcslpWcgUHOx17H8bHXRERERHLCYlnJGebYsywSiRATG6ugaIiIiIgqFhbLSk5DQwPVq1WTGovmw0mIiIiI5ILFcgWQsyNGFPctExEREcmFasFTqLwzNDDA4ydhktdsH0fK5v3794oOQa50dXUVHQKR0qpoPz8V7fOtMuLKcgWQ87HX7IhBREREJB8sliuAnB0xkpKT8eHDBwVFQ0RERFRxsFiuAPRq1ICamprUGPctExEREZUci+UKQCAQ5LrJjx0xiIiIiEqOxXIFYVgrx2OveZMfERERUYmxWK4gDHPc5PeG2zCIiIiISozFcgVhmOMmv9i4OGRmZiooGiIiIqKKgcVyBSHrsdexcXEKioaIiIioYmCxXEFUqVIF1atLP/aa+5aJiIiISobFcgWScysG9y0TERERlQyL5QqExTIRERGRfLFYrkByFctvoiEWixUUDREREZHyY7FcgeRsH5eckoIPSUkKioaIiIhI+bFYrkBqVK8OdXV1qTHe5EdERERUfCyWKxCBQACDWtIt5LhvmYiIiKj4WCxXMLzJj4iIiEh+WCxXMDkfTsJtGERERETFx2K5gsl5kx8fe01ERERUfCyWK5ice5bFYjFiYmMVFE3F4+XZBgMG9C/0/PPnz6N1q5Zo6uoCjxbNSzGy4mE+5TsfIqJPKtrnmzLlo1qm70alrkqVKqhRvTreJiRIxt5ER8PYyEhxQVUgm7dshYaGRqHnL5g/D6qqqli3fgP0atQoxciKh/mUj3waNqiPrKysXOM2NjbYf+CgzHN++P47nD59GpmZmRAKhahXrx42bd6CqlWrAgACtm2Dn99avH37FiKRCMOGDcdPEyaUah6fqKqqysynQYMGuHPnTr7n/vjjj1i5ciWMjIwQGRkpGRcIBDLn+/j44PDhwyULOIeC/u3ae7dDRESE1DnVq1fHhdCL+V73p/HjcOzYMWRlZUFTUxPTps9A9+7dAQD/vniBH3/8AU+fPpV8TW1sbLDmj7UwNjYu1XwGDRqIWzdvIiMjAwBQtWo1TJo0CT169szzmsOGDcWN69eRkpICgUAAfX19zJk7Fx4eLSVzOnbwwYsXL5CVlSWZM2v2HLRq1arc5VOYn8GLFy/i58mTEBsbC7FYDEMjI/j5rUPdunVLlE9hKevnW16UKR8WyxWQoYGBdLHMfctyY2ZmVqT5iYmJsLOzg6OjYylFVDLMp3zks2//Acl/2AHg3LmzWLpkCbr36CFz/qxZ/8OJEyfQt18/+Pj44Nq1a1ixfDm+/WYI/vp7DwDg3ft3MDe3QNeu3eDvv6FM8vjkzp07UvkEBwfj559/xtChQ/M979y5c1i9erWk4P/crVu3pF77+vpi06ZNmDRpknyC/kxh/u1q1KgB/42bJK+1tbXzvebcOXMQHByMbt27w8urLZYsXoTp06bCwcEBderUwePHj5GQkIBhw4bBtakbHty/j2XLlqJvn944dfpMqeZjY2ODli1bwsHBEe/fv8OSxYsxY8Z0NHJygrW1tcxr3r93Dz4+Pmjdpg3S0zMwZ/YsjBk9GqdOn4G+vj4AwL5+ffTp0xd29naIfB2JBQvm47sxo3H9xs1cbU4VnU9BP4NxcXEYPmwo9PT0sczXFwAwe9Ys9O3TG5cuX4GqaumXU8r6+ZYXZcpHIOYj3iqc02fP4fTZc5LXlhYWGNS/rwIjUrzLV67K5Tpenm1gbGKCgIBANHN3Q5MmzoiMfI2IiAgIhUJ4e3vj9//NAgA0dXWROtfJqTHW+vnJJQ55YT7/kWc+urq6JTq/e7duCAt7gpu3bkMozL1brkvnTnjz5g0uXrosGevZswdePH+OK1ev5Zpvb2dbopVlO9t6xTrvEycnJ9y9exdpaWky8wGA9PR01KxZE927d8e5c+eQlJQktbKck7GxMdLS0hAfH1/keB48fFToubL+7dp7t0NKSgrOfPY5W5AmjZ1gamoqWaXMzMxEI0cHuDdrhvXrZRfk8+fPx9Ytm3H9xs0ircDlpzDfC1FRUfBs0xoTJk4q8BecT8LDw9GpYwdMnToNAwYOlDnn6NGjGD9uLDZu2gw3N7fihJ9LaeWT82dw3To/+C5bhpCTp2D08S+1kZGR8PJsg58mTMCwYcPzvNb79++LlFNeysvnm7yUl3xcXZwLnMM9yxVQro4Y0XzsdWm5cuUy6tnaYuWq1XB1dUVwcDBCL5wHAAQEBEJNTQ22dnYICAjEnDlzFBxtwZiP4iUlJeHRo4dwcXXNs7B0dnHBu3fvsGdP9iry5cuX8eTxYziUwxWkDx8+4NatW2jTpk2e+QBAu3btoKOjg82bNxd4zbt37yIqKgp9+ypuESA2Nhb17e3g0LABOnXsiBfPn+c5NykpCSkpKWjVqrVkTFVVFbVr18ajhw/zPC8x4S0EAoHcCuXCSEpKwu+/zQQAeHp6Fvq86Og3ACApJHOKi4vDOr+1UFFRQcOGDUseaCEVJx9ZP4OpKSkAAB0dHcm8T78UnzlTspX/4lLGz7f8lOd8uA2jAjI0MJR6nZKSgvcfPqBqCVe7KDdjY2PMmTMXAODs7Ixm7m4ICjoC92bNYVO3LgQCATQ1NGFTRnvaSor5KN6KFcshFosxIZ+VshkzfkVMTAymT5uK6dOmAgCsrevA339jWYVZaDNmzIBYLMb8+fPznLNmzRqcO3cO9+/fL9Q1J0+eDIFAoLACoGXLVtDW0YG9vR3u3rmLLVs2o3v3bgi9eEnm9oIXL54DAExNTaXGq1evjtg8bsB+9uwZDh06BMdGjeQdvkwrV6zAH3+sAQAIhULMmTsPVlZWhTo3MzMTkyZOhLa2Ntq2ayd1bMJP43HkyBEAgJqaGtZv8C9wy4o8lCQfWT+DHTp2wtq1azFo4EBs8PeHWCzG0G+/AQDEx8XJP4FCUMbPt/yU53y4slwBVa9ejY+9LiOWn334CoVCqKmpIS5OebuPMB/FO3jgAPT19WFvXz/POVu2bMaJ48fRpUsX+C5fjqFDh+HZs6f4ZsiQsgu0kLZt2wYDAwM0btxY5vHXr19j7NixmDlzJurVK9x2jxMnTqBBgwaoXr26HCMtvGnTp2PcuHHw9m6PnyZMwPoN/khJScG2bdvkcv2oqCj07NEdVatWxYYN/nK5ZkH69e8P/40b8b//zYKZmTl+nTEdYWFhhTq3W9euSExMxMZNm3IdmzhpMtZv8MfUqdNQtWpVjBk9Cu/evZN3+LmUJB9ZP4PW1tYYN348njx5jBbNm8GjRXMkJSVDQ0MDAoFiSill/HzLT3nOh8VyBSQQCGAgYysGyZ+smzpEIuXd8sJ8FOv69etISEjI88a+T1atWoX69etj3vwF8PZujwkTJ+Lrr3vh0qWL5aqv+vnz5xEXF5fvPtGzZ88iMzMTM2fOhEAggEAgQHh4OKKioiAQCBASEiI1f9WqVUhPT8f06dNLO/xCc3V1hUAgwMOHD2Qet7CwBAC8fPlSajwhISHXKmt09Bt07OADNTV1HAk+Ci0trVKJOSd9fX24uzdDz6+/xpHgYAgEAsyfP6/A87p07oRnz55i46bNaNjQIddxY2NjNG/eHAMGDkTw0X+QmpqKFSuWl0YKUoqbT34/gyNGjMSdu/dwOOgIjh0/gWPHjyMtLQ21a9cujRQKpGyfbwUpz/lwG0YFZWRggJcvX0les1gmKv98fZdBIBBi9Ogx+c7LyszMtZqloqoCABCJRKUWX1FNmzYNQqEQv/76a55z2rdvL9l7/cmYMWOQlpYGf39/uLq6Sh3z9fWFlpYWevXqVSoxF8edO7chFotRu7apzOPa2trQ1NTEmTOnJTeiZWZm4tWrV3Bv1kwyLyoqCh07+EBFRQVBR47I7ApSVsRiMdLT0/M8LhKJ0K1rF4SHh8Nv3Xq4uLjkOffzawJAWmqq3OIsrILy+aQwP4OftnNs2rgRYrEY/YvQK5iUE4vlCsrQQPpJfs+ePUdqamqZ3ihCRIWXmZmJG9evo2HDhrl+Tr3btYW+vj7+3LETANCgYUNcvXIFc2bPhnf79rh54wZ27dwJIyMjyRasmJgYXLlyRXKNp0/DERQUBGNjYzg5OZVJPufOnYOLi0uufKytrWFgYIDQ0FBUr14d3bp1kzr+qR1czvGXL18iPDy81G/sy+/fztTUFN+NGY1evXrD6gsr3Lx5C6tXrYSqqiqGDRsmOcetqSvc3N3h65u9itqjR08EBGzDrzOmw9PLC4sXLYJIJMKkSZMB/FcoZ2ZmYtXqNYiOjkb0x0WOL774okSt1vLLx9zcHD98/x26d++BL6yt8fJlBNasWYOsrCwMHjw4z3y6dumMsLAw/PLLVOjr6+PhxxsVjYyMUL16dVy+fBnr1vmhc+fOMDMzx+PHj7Bq5UoIBAIMHvJNsXMprXyA/H8GAWDatKlwauQEUzMzHA0Oxq5dO2Ffv75Ub2mqmFgsV1BmOW4kSU5JwbkLoWjr2UZBERFRfjZu9EdWVha+//77XMcSExOlHsqxbt16jBw5Ajt37kBgYACEQiGsra2x5o+1kjlBQYex4LOb6kJCQhASEgIzMzMc/edY6SYDYNGiRcjKysLvv/+e61hcXFyeDxnJz5QpUwAg35sF5SG/f7udu3bj5cuXmDnzV4jFYqioqMDc3BzLfJdLdUpISkqSams3ddo0RMdEY+/evfjrr7+gqamJWbNmSx5ocfRoMJKTkwEA334zRCqebQEBaNKk4PZWxcln919/49Wr1/jtt5kQiUQQCoXQ09PDnLnz4OXVNs98Pu3/nTdvrtR79ejRA7Nmz4GOjjYe3L+P0AsXIBaLIRQKYWRkhLV+fqhTp06xcymtfID8fwYBIDwsHPv27oVYLIaqqipat26NlatWlygXUg7ss1yB7dj9Fx4/+e+GBhUVFYweMaxcPsmntMmrzzJRYZS0z3J5U9I+y+VNUfosE5WUvPosU+lgn+VKrp2Xp1Rf06ysLBw/cVKBEREREREpFxbLFZi+nl6u35gePn6MZ89fKCgiIiIiIuXCYrmCa9m8GbQ0NaXG/jl+olzdMU9ERERUXrFYruA0NDTQupX0nbpvoqNx89ZtBUVEREREpDxYLFcCjRs5wqCW9ENKQk6fQaoCel0SERERKRMWy5WAUCiEd1svqbHk5GScvRCqoIiIiIiIlAOL5UriCytL1KtrIzV26fIVxMe/VVBEREREROUfi+VKpK1nG6lWciKRCMdCQhQYEREREVH5xmK5EpHVSu7R4yd49vy5YgIiIiIiKudYLFcyLZs3g5aWltQYW8kRERERycZiuZLR0NBAm5YeUmNvomNwg63kiIiIiHJhsVwJOcloJXeSreSIiIiIcmGxXAkJhUK0byejldz5CwqKiIiIiKh8YrFcSVlZymgld+UqW8kRERERfYbFciXWztOTreSIiIiI8sFiuRLT06uBpjJayT199lwxARERERGVMyyWKzkPtpIjIiIiyhOL5UpOQ0MDbVq1lBqLjonBjZu3FBQRERERUfnBYpng5OgAQwO2kiMiIiLKicUyQSgUwrttW6mx5JQUnGErOSIiIqrkWCwTAMDK0iJXK7nLV64iLj5eQRERERERKZ6qogOg8qOdpyeehIVLbu4TiUQ4HnISvXv2UHBkRMrl/fv3ig6BiMoJXV1dRYcgV5Xx840ryyShp1cDTV1dpMbYSo6IiIgqMxbLJMWjmTtbyRERERF9xGKZpLCVHBEREdF/WCxTLmwlR0RERJSNxTLlwlZyRERERNlYLJNMVpYWsK1bV2qMreSIiIiosmGxTHlq69UGQuF/3yIikQjHToQoMCIiIiKissVimfKkVyN3K7nHT8LYSo6IiIgqDRbLlK+WzZtBm63kiIiIqJJisUz5qlKlisxWctfZSo6IiIgqARbLVKBGjg4wNDCQGjvFVnJERERUCbBYpgJlt5LzkhpLTknBmXPnFRQRERERUdlgsUyFIrOV3NVriItjKzkiIiKquFgsU6G19WoDFRUVyWuRSIRjIWwlR0RERBUXi2UqNL0aNdDUxVlq7PGTMIQ/e6agiIiIiIhKF4tlKhIPWa3kjrGVHBEREVVMLJapSKpUqYI2rVtJjcXExuL6jZuKCYiIiIioFLFYpiJr5NAwVyu5k2fOspUcERERVTgslqnIhEIh2reTbiWXkpKC05WglZyXZxsMGNC/0PPPnz+P1q1aoqmrCzxaNC/FyIqH+TAfIiJFUKbPNxbLVCyWFhawrSfdSu5KJWglt3nLVixb5lvo+Qvmz4OqqirWrd+A7dv/LL3Aion5MB95WLlyJQwNDaGiogKBQIBffvlF6vjkyZOhr68PoVAIgUCAnTt3FnjNyZMnQ1tbGwKBAAKBAJqamhg1alSueYcOHYKRkZFknra2NkJDQ4udy7BhQ9GksRPs7WxR394OLT1a4OzZM1JzOnbwQcMG9aXmnD59Ot/rDho0EI4ODWFvZwt7O1u4NW2Kv//6K9e8VStXSt7f3s4WLT1aFDuXTwK2bYNHi+ZoUN8e9na2WLpkidTxT++V83+jRo4s9jUBICYmBl06d5LMcXRoiIkTJ5R6PsV538WLFqGxUyNJ7k6NHPHbzJl5zu/YsQPs7Wzxw/fflSiXwny/TZ48CU1dXSSxvXr1Si7XvXjxIlq19EB9ezvY29miTZvWePz4cYnyKQpl+XwDANUyfTeqUNp5euJJWDiysrIAZLeS++fECfTt9bWCIys9ZmZmRZqfmJgIOzs7ODo6llJEJcN8mI88vH37FjY2NhgyZAgWLlyY6/i7d+/g6OgIMzMzbN26tVDXNDExwffffw8PDw9oaWlh1apV8PPzg5mZGaZNmwYACAkJQefOneHs7Ixly5bB0NAQJ06cQNWqVYudy/179+Dj44PWbdogPT0Dc2bPwpjRo3Hq9Bno6+sDAOzr10efPn1hZ2+HyNeRWLBgPr4bMxrXb9yEurq6zOva2NigZcuWcHBwxPv377Bk8WLMmDEdjZycYG1tDQBYtHABNm3eDB8fH3Tt0hXpGRm4dOlisXP55N37dzA3t0DXrt3g778h1/E9e/dJvd62bSv27tmDb4cOLfY1AWDI4EGIiIjApMmT0aBBA+zcuROHDh6EqakZxo0bV2r5FOd9axnUQv/+A9DEuQk0NDSxPTAAu3bthLGxEUaOGi01d8nixXj18iWEwpKvNxbm+y0lORkOH3+mz587J5frxsXFYfiwodDT08cyX18AwOxZs9C3T29cunwFqqqlXx4qy+cbAAjEYrG4zN+VKozjJ0/hQqj0h3n/Pr1h/YWVgiKS7fKVq3K5jpdnGxibmCAgIBDN3N3QpIkzIiNfIyIiIvtJh97e+P1/swAATV1dpM51cmqMtX5+colDXpjPf5hP3lxztIzMj0AgwJQpUzBv3rxcx86dOwcPDw/s2LEDvXv3LnIcWlpaaNKkCc6ePQsAMDc3h6qqKp4+fVqk6zx4+KjQc8PDw9GpYwdMnToNAwYOlDnn6NGjGD9uLDZu2gw3N7dCXTcqKgqebVpjwsRJGDp0KFJTU+HcpDE6d+6MufPmFzq+orK3s8WwYcPx04S8V1pberRAeno6Ll66XKJrNnJ0gJNTY2zavFky1tipEezs7BG4fXux4i/Me8vrfZ0aNUL9+vUREBgoGbt79y769O6F5StWYNzYsWjdujVWrlotl1yA/L/ftmzZjAXz5+PY8ROoXbt2ia67bp0ffJctQ8jJUzAyMgIAREZGwsuzDX6aMAHDhg3P81rv378vemIyKNPnG7dhUIl4NHPP3UrueOVpJXflymXUs7XFylWr4erqiuDgYIReyN67HRAQCDU1Ndja2SEgIBBz5sxRcLQFYz7lW0XLp7BEIhEWLVqElJQUdOjQAQCQmZmJiIgIWFlZoWbNmhAKhdDR0cm1BaSkoqPfAICkoMgpLi4O6/zWQkVFBQ0bNizUNZOSkvD7b9l/4vf09AQABAUFQSQSQSAUwqmRI+rb26N5M3ccP3ZMDlkU3uPHjxEbG4sOHTuW+Fq1a9fG7du3cPfuXYhEImzevAmpqan46quv5BBp6b2vSCSCv78/0tJS0arVf92fMjMzMWzot/D09ISXV9tSib2g7zd5XTc1JQUAoKOjI5mjq6sLADhz5gwUoTx/vnEbBpXIp1Zyh4KOSMZiYmNx7cZNuDRprMDIyoaxsTHmzJkLAHB2dkYzdzcEBR2Be7PmsKlbN3uvpYYmbHI8Kry8Yj7lW0XLpyD//vsvLCwsJK+HDBmCKVOmAADu378PIHsrRpcuXdC3b19s2rQJ8+fPh5GREcaOHVvi98/MzMSkiROhra2Ntu3aSR2b8NN4HDmS/bmnpqaG9Rv8oa2tne/1Vq5YgT/+WAMg+0bpOXPnwcoq+69wDz7mc2D/fgwaNAj1bG2xYvlyjB37I44cCYb5Z/8OpWnJ4sWAQICxY8eV+Fo7d+1Gj+7d0OvrnpKxr7/+Os8Venkp7vt+Wln9pGu3bhg+YoTk9ahRIyEQCOC7fIX8g0b+32/yvm6Hjp2wdu1aDBo4EBv8/SEWizH0228AAPFxcXJ776Ioz59vXFmmEmvk0BBGhtKt5E6dOYuUlIrfSs7S6r/tJkKhEGpqaoiLi1VgRCXDfMq3ipZPQUxMTHD8+HHs2LEDHTt2xObNm+H7cX9lZmYmAMDCwgL79u1D7969ERwcDENDQyxdulQu79+ta1ckJiZi46ZNuY5NnDQZ6zf4Y+rUaahatSrGjB6Fd+/e5Xu9fv37w3/jRvzvf7NgZmaOX2dMR1hYGABAJM7+a9xXPj6YNPlndO7cBfv2HwAArFy1Ui75FMbFi6Goa2NTon3fn0yaOAGRkZEYNWoUlvkuh3f79ti9ezc2bFgvh0jl/761atWC/8aNWLxkKVq3bo19e/diy5bNAIADB/Yj9MIF+G/cKJe9yrLk9/0m7+taW1tj3PjxePLkMVo0bwaPFs2RlJQMDQ0NCASKKQ3L8+cbi2UqMaFQCO+20n+SSklJwZlC3oigzGTdBCESKe9tAMynfKto+RREVVUVXl5e6N27Nw4ePIi6deti9uzZAIC6H1eX6tSpI3WOhYUF3r59W+L37tK5E549e4qNmzajYUOHXMeNjY3RvHlzDBg4EMFH/0FqaipWrFie7zX19fXh7t4MPb/+GkeCgyEQCDB/fvbe7k83OzVq5CSZr6OjAw0NjUJ1P5CHwMAAZGRk5LqhrTgSEhJw+vRpjBgxEj+OHYf27dvD13c5LC0tsdHfXw7Ryv99VVVV4e7eDD4+Pljzx1pYWlrCb+1aAMCxf/6BWCxGzx49JF0psrKycOLECTRsUL/EcRf0/VYa1x0xYiTu3L2Hw0FHcOz4CRw7fhxpaWlF3g8tL+X5843bMEguLC3MYVevHh48+u/GmSvXrqNJYyfU/HhHLxFRSYjFYsmKso6ODnR0dHLd3BcREQE9Pb1iv4dIJEK3rl0QHh4Ov3Xr4eLiUuA5n+6TTyvig5nEYjHS09MBAF9++RUWLliAu3duA+gHAEhOTkZqaipMTU2LlkQxbd2yBRoaGnLZU/zpIVVCFek1OaFQiNLsKyDP9xWJxZJuTxMnTkKXLl2ljo8bNxYNGjTEdyVoH1ec7zd5X/fTVqBNGzdCLBajfxF6H1cWLJZJbtp6tsHjsDCpVnLHToRU6FZyRJTd2eHzPsMPHjzAzp07YW5uDnd3d4SHh+Pq1at4+PAhAODChQsAADs7Ozg4ZK92WVtbw8DAQNIjuX379mjTpg3c3Nzw4cMH+Pn54cmTJxg0aJDkfcaMGYOFCxdi0KBBGDx4MNauXYvIyEisXl387gRdu3RGWFgYfvllKvT19SUxGxkZoXr16rh8+TLWrfND586dYWZmjsePH2HVypUQCAQYPOQbyXUcHRpi0KDBmDBxIuLi4vDD99+he/ce+MLaGi9fRmDNmjXIysrC4MGDJde3tbXDgQMHYGllBTs7O8ybm71/84cffix2PkB23+ErV65IXj99Go6goCAYGxvDySl7JTsqKgoRERHw+XgDZU5uTV3h5u4OX9/lhbqmkZERdHV1sc7PD9ra2rC3r48D+/fh6dOn8PHxKdV8CvO+3u3aQl9fH3/uyO75PWzYUDR1bQrHRo2QnJyEXTt34t8XL9ClSxcAgIWlJSwsLaXiEAgEqFWrJjw8WhY7l4K+3wDg4cOHePr0KR4+eAAAOHXqJGrU0EOD+vUle9lzfn0Kc91p06bCqZETTM3McDQ4GLt27YR9/folyqeiYrFMclOjRnU0dXWRaiX3JCwc4U+flbtWckQkPzt27MD48eMlr/fv34/9+/fD2toaYWFhmDdvHvw/+xP4ihUrsGLFCrRq1QqnTp0CkN1VQiAQSOYkJSXh119/RUZGhuRhIz/++COWL/9vq8OCBQsQHR2NwMBAbNu2DRoaGvjll18wZsyYYufyaQ/xvHlzpcZ79OiBWbPnQEdHGw/u30fohQsQi8UQCoUwMjLCWj8/qS0hGRkZSEjI3g6ipqaGV69e47ffZkIkEkEoFEJPTw9z5s6T6qoQEBiIwYMGYrmvL8RiMapVq4YVK1cWuR9tTkFBh7Fg/n/t6EJCQhASEgIzMzMc/Se728bSpdkP9pgwYaLMayQlJSE+/r+HThXmmlu2bsO4sT9i0cKFEIlEUFNTQ5s2bbBw0eJSzacw75uYmCj1/ZaSnIKVK1dk/+VCIICWpiYGDBiIqR97epeWgr7fAGDu3Dm4+tkvB3M+bkX6fE7Or09hrhseFo59e/dCLBZDVVVV7m3wKhL2WSa5SktLw6q165CUlCQZq1WzJkYO+7bUboooDHn1WSaqjIrSZ1kZFKXPMhFJk1ef5fKCfZapzFWpUgWeraT/hPOplRwRERGRsmGxTHLnWIlbyREREVHFwmKZ5C6vVnLnPt7UQ0RERKQsWCyT3KWmpuL2nTu5xp+EhSsgGiIiIqLiYzcMkquw8Kc4GHRE5g0ABga1FBARERERUfGxWCa5SE1NxT8nQnDz1m2Zx7+wskKHL78s46iIiIiISobFMpVY+NNnOHg4CO9krCarq6vDu60XnBwdpHpaEhERESkDFstUbGlpafjnRAhu3Lwl87iVpSU6d/gK1apVK+PIiIiIiOSDxTIVS/izZzh4+AjevXuX65i6ujraeXmicSNHriYTERGRUmOxTEWSlpaGYydO4vrNmzKPW1laoFMHH1TnajIRERFVACyWqdCePnuOg4eDkChjNVlNTQ3tvDzRxKkRV5OJiIiowmCxTAVKS0vD8ZBTuHbjhszjlhYW6NzhK1SvXr1sAyMiIiIqZSyWKV/Pnj/HgcNBSEyUvZrc1rMNnBs7cTWZiIiIKiQWyyRTeno6joecxNXrsleTLczN0bmjD2pwNZmIiIgqMBbLlMuz5y9w8HAQEhITcx1TU1ND2zat4dykMVeTiYiIqMJjsUwS6enpOHHyFK5cuy7zuLmZGTp39IFejRplHBkRERGRYrBYJgDA8xf/4sDhw0hIkL2a7NW6FVycm3A1mYiIiCoVFsuVXHp6OkJOncblq9dkHjc3M0Xnjh24mkxERESVEovlSuzFv//iwOEgvH2bkOuYqqoqvFq3gquLM1eTiYiIqNJisVwJFbSabGZqis4dfaCvp1fGkRERERGVLyyWK5kX/0bgwOHDea4me7ZuBVfnJhAKhWUfHBEREVE5w2K5ksjIyEDIqdO4dOWqzOOmprXRpUMH6OtzNZmIpF3O43NDWbm6OCs6BCKl9eDhI0WHUOZYLFcC/0a8xIHDhxEf/zbXMVVVVbRp1RJNXZy5mkxERESUA4vlCiwjIwMnT5/BxctXZB43rV0bnTv6oKa+fhlHRkRERKQcWCxXUBEvX+LAoSDExcfnOqaiooI2rVrCzdWFq8lERERE+WCxXMFkZGTg1JmzCL10Webx2iYm6NKxA2rW5GoyERERUUFYLFcgL1+9wv6Dh/NcTW7d0gPuTV25mkxERERUSCyWK4DMzEycPHMWFy9dhlgsznXcxMQYXTp2QK2aNRUQHREREZHyYrGs5F6+eo0Dhw4jNi4u1zGuJhMRERGVDItlJZWZmYlTZ88h9OIl2avJxh9Xk2txNZmIiIiouFgsK6FXryNx4NBhxMTG5jqmoqKCVh4t0MytKVeTiYiIiEqIxbISyczMxOmz53Ahj9VkYyMjdOnYAQYGtRQQHREREVHFw2JZSbyOjMT+g7JXk4VCIVp5tEBzdzeuJhMRERHJEYvlci4zMxNnzp3H+dCLeawmG6Jzxw4wNDBQQHREREREFRuL5XLsdWQUDhw6jOiYmFzHhEIhWrZojubublBRUVFAdEREREQVH4vlcigrKwtnzp3HuQuhMleTjQwN0aUTV5OJiIiIShuL5XImMioK+w/mvZrs0bwZWjRz52oyERERURlgsVxOZGVl4ez5Czh3IRQikSjXcSNDA3Tu2AFGhoYKiI6IiIiocmKxXA5EvXmD/QcP4010dK5jQqEQLZq5w6N5M64mExEREZUxFssKVNBqsqFBLXTp1JGryUREREQKwqa8ChL15g38N2/BmXPncxXKAoEALVs0x7BvhrBQLme8PNtgwID+hZ5//vx5tG7VEk1dXeDRonkpRlY8zIf5lKWKlg8RVQ4slstYVlYWTp89hw2btiDqTe5tFwa1amHYN4PRuqUHt12UQ5u3bMWyZb6Fnr9g/jyoqqpi3foN2L79z9ILrJiYD/MpS8qSz8qVK2FoaAgVFRUIBAL88ssvueYcOnQIRkZGEAgEEAgE0NbWRmhoaKGu/+OPP0IgEMDY2FhqvE6dOpLrffpfzZo1y2U+w4YNyxWrQCCQHE9OTkbTpk2hoaEBgUAAFRUVWFtb4/r16yXOpyzyA4Bu3bpBXV0dAoEAqqqqaNy4MRISEso8fln/zgKBAB06dMjzmunp6fDw8ICamhoEAgHU1NTg5eUlWZwrza9PwLZt8GjRHA3q28PezhZLlyyROm5vZyvzf6NGjszzmtHRb9C9Wzc0bFAf9na2cG7SGHv37pUcT05ORu9evdDI0QH2drZoUN8e3u3a4v79eyXOB+A2jDL1Jjoa+w8eRtSbN7mOCQQCtGjmjpYtmrNILsfMzMyKND8xMRF2dnZwdHQspYhKhvkwn7KkLPm8ffsWNjY2GDJkCBYuXJjreEhICDp37gxnZ2csW7YMhoaGOHHiBKpWrVrgtc+dO4fVq1fnObdmzZo4ceKE5LWurm7xE/moNPO5deuW5P9//gTZ2NhYhIWFYfTo0fD29sarV68wbtw4eHh4ICkpqcQ5fa408vvuu++wb98+jBkzBn379sXZs2cxffp0eHl54dq1a2Ua/+f/xgDg6+uLTZs2YdKkSXles2PHjjh//jx+/fVXtG3bFnv37sXSpUvx9ddf4++//y7Vr8+79+9gbm6Brl27wd9/Q67je/buk3q9bdtW7N2zB98OHZrnNfv07o24uHj8/PMUWNexxh9//IFpU3+BjY0NGjRogMTERPz77wv07tMHLVq0wJuoN5g3by4G9O+P6zduligfABCIZTXyJbnKysrC+dCLMrdcAECtmjXRpVNHmBgbKSC6yuHylatyuY6XZxsYm5ggICAQzdzd0KSJMyIjXyMiIgJCoRDe3t74/X+zAABNXV2kznVyaoy1fn5yiUNemM9/mE/pKy/5uLo4F3quQCDAlClTMG/ePMmYubk5VFVV8fTp0yK9b3p6OmrWrInu3bvj3LlzSEpKQmRkpOR4nTp1co3Jm7zyGTZsGPz9/WU+CyAvW7ZswZAhQ3DhwgW4u7sXKe7Ckld+Dg4OePnyJeLj4yVjzs7OePz4Md69eyfXmD8nK/6cjI2NkZaWJhVbToaGhqhWrRoeP34sGatduzbU1dXx7NkzmecU9uvz4OGjQmSSzd7OFsOGDcdPEybkOaelRwukp6fj4qXLMo8nJCSgmbsbxoz5Dt//8INkvLFTI9jZ2SNw+3aZ5+3duxfTpv6CwO1/wsnJKc/3t7OtV2Ae3IZRyqKjY7Bxy1acOnNW5t7kFs3cMfzbISyUldSVK5dRz9YWK1ethqurK4KDgxF64TwAICAgEGpqarC1s0NAQCDmzJmj4GgLxnzKN+ajeJmZmYiIiICVlRVq1qwJoVAIHR0dmX/6z6ldu3bQ0dHB5s2b85wTFRUFoVAIdXV11K9fH0+ePJFj9LmVJB8AUFVVhaqqKoyNjbF///585775+FfVov6FoSSKm5+Hhwfevn2LTZs2AQBOnTqFO3fuwM3NrSzCztPdu3cRFRWFvn375jvP0dERT58+xdGjRwEAu3btQmRkJL766qs8z1HE1+fx48eIjY1Fh44d85yTnp4GANDU0pIaV1FRQVhY3j8fcXGxAJBru1NxcBtGKRGJRDgfehGnz57LZzW5A0zk8EUkxTE2NsacOXMBZK86NHN3Q1DQEbg3aw6bunUhEAigqaEJm7p1FRxp4TCf8o35KN79+/cBZP9pv0uXLujbty82bdqE+fPnw8jICGPHjpV53po1a3Du3DnJ+bL4+PhAV1cXjRs3xtWrV7F06VI4OTkhPj4e6urq5SofV1dXCIVCeHl5ISoqCnPnzkXXrl1x+fJluLi45JqfkJCA3377DRYWFjA1NS2VXGQpbn6rV69GVFQUvv32W3z77bcAAHt7e/zzzz9lFrsskydPhkAgKPCXx6CgILRo0QJffvmlZMzb2xtr1qyROV9RX58lixcDAgHGjh2X5xwDA0NoaWlhnd9auLu7oU4dG8ybOxdJSUlQVZVdxr579w5rVq+GiYkJjIxKvhjJleVSEB2TvZp88vQZmavJzSWrySyUlZ2llZXk/wuFQqipqUl+m1VGzKd8Yz6Kl5mZCQCwsLDAvn370Lt3bwQHB8PQ0BBLly6Vec7r168xduxYzJw5E/Xq5f0n3xUrVmDOnDno0aMH5s2bh6NHjyIpKQnLly8vlVyA4uUDACNGjMC6devQu3dvjB07Fs+ePYOqqip++umnXHOTk5Nha2sLIHvPdlkqbn6+vr7Yt28fBg0ahL/++guTJ0/Go0eP4OXlVVahy3TixAk0aNAA1atXz3feTz/9hKtXr+KHH37AX3/9hZEjR+LYsWMYPnx4rrmK/PpcvBiKujY2Be6PX7V6DcRiMXr26IFGjg44cGA/ateuLXVT6SfJycno4PMVxGIgIFD2Fo2i4sqyHIlEIly4eAmnz55DVlZWruM19fXRpVMH1DYxUUB0VBpk/VYrEinvbQDMp3xjPopX9+Mqd506daTGLSws8ODBA5nnnD17FpmZmZg5cyZmzpwpdUwgEODEiRPw9PTMdV7r1q0hEAhw8+ZN+QQvQ3HykUVLSwuGhob4999/pcaTk5NRp04dJCYm4vbt22W6agkUP7+ZM2eicePG2LJlCwCgR48eePfuHdauXYvMzMw8VzRL06pVq5Ceno7p06cXOHfNmjXo3r07VqxYASA7/rCwMGzduhXr16+XzFPk1ycwMAAZGRkYOWp0gXPd3Nxw+cpVxMXFISb6DWzt7OHZpnWuG2CTk5Px1Zft8eHDB+zbt18uq8oAi2W5iYmJxf5Dh/Faxo0ZAoEA7m5N0dqjhUJ+wIiISD50dHSgo6OT62axiIgI6OnpyTynffv22LNnj9TYmDFjkJaWBn9/f7i6uso878qVKxCLxbC0tJRL7LIUJx9Z0tPTERMTgwYNGkjGPhVi8fHxuHHjBmxsbOQWd2EVN7+MjAyp7h7Af7/cydpaWRZ8fX2hpaWFXr16FThXJBLl6qyloqIidUOmor8+W7dsgYaGRr77qHPS19eHvr4+IiIiEBUVhY6dOkmOfSqUExMT8feevbCQ488NK7cSEolECL10GafOnM1zNblzxw4wrc3VZCIiZRAVFYXTp09LXj948AA7d+6Eubk53N3dMWbMGCxcuBCDBg3C4MGDsXbtWkRGRmL16tWSc6ytrWFgYIDQ0FBUr14d3bp1k3qPT22/Po1HRUWhU6dOGDlyJGxtbREaGoqZM2dCTU0NP//8c7nKBwA8PT3Rrl07uLu749WrV5g6dSrS09MlK+fJycmwtrZGTEwMtm/fjoyMDNy+fRsA8MUXX0BHR6dEOZV2fq6urjh9+jR+/PFH9OzZExcuXMDatWthZmYm9/3jBcUPAC9fvkR4eHieN/bp6enBy8sLu3fvBpD9b7xr1y7Uq1cPbdu2xcGDB3Hs2DHJfvLS/PrExMTgypUrktdPn4YjKCgIxsbGkq4UUVFRiIiIgE8evaLdmrrCzd0dvr7ZW5D81v4BkTj73oabN25gzZrV0NLSwm+//S7J58v23oiPj8eixUuQkZGBhw8fAsi+YVFbW7vY+QAslkskJvbjavJr2avJbk1d0aalB1eTiYiUyI4dOzB+/HjJ6/3792P//v2wtrZGWFgYFixYgOjoaAQGBmLbtm3Q0NDAL7/8gjFjxkjOiYuLk7mfMi+fWnqNGDECYrEYKioqsLGxwe7duwvV77is80lISMCMGTOQlZUFoVAIfX19bN++HZ07dwYAXL9+HVFRUQCA3r17S8WzbNkyjBs3rkQ5lXZ+wcHB+Oqrr/DHH39g5cqVUFFRgZ2dHQ4dOiS3uAsbPwBMmTIFADB//nyZ13j37h1iYmIkr8+cOYMOHTpg9uzZ+P3336GqqopmzZohODgYQOl+fYKCDmPBZ3GGhIQgJCQEZmZmOPrPMQDA0qXZDyqZMGGizGskJSVJtcaLf/sW2wMDkZWVBYFAiDp1rLHWbx20PnbIePDgPmJjs+93mPDTeKlr/TxlCgYPHlLsfAD2WS4WkUiEi5ev4OTpMzJXk/X19NClUweY1q6tgOhIFnn1WSYi5VeUPstEJK0ofZaVQWH6LHPJs4hiY+Ow//BhvHr1WubxT6vJampqZRwZEREREckbi+VCKsxqcueOPjAr4zt9iYiIiKj0sFguhLi4eOw/dBgvX72SedzN1QVtWrXkajIRERFRBcNiOR8ikQiXrlzFydNnJI3NP6dXowY6d+wAczOuJhMRERFVRCyW8xAXF48Dh4MQ8fKlzONNXZzh2boVV5OJiIiIKjAWyzmIRCJcvnoVIafyXk3u1MEHFuZmCoiOiIiIiMoSi+XPxMe/xf5Dh7maTEREREQAWCxLXL12Hf+cCJG5mlyjenV07ugDC3NzBURGRERERIrCYhnAw0ePEXT0H5nHXJ2bwLN1K7k/3pKIiIiIyj8WywD+jYjINSYUCtG/Ty9YWVqWfUBEREREVC4IFR1AeVDXxibXmEgkwtXrN2RuyyAiIiKiyoHFMgBLC3P4fNk+1/iDh4+wfedupKWlKSAqIiIiIlI0FssfOTd2Qs9uXaGioiI1/vzFC2wN3I6kpCQFRUZEREREisJi+TP2drbo1/vrXDfzRUa9waatAXibkKCYwIiIiIhIIVgs52BlaYlB/ftBS0tLajz+7Vts2hqAN9HRCoqMiIiIiMoai2UZTIyN8M2gAaherZrU+IcPH7AlIFBm9wwiIiIiqnhYLOdBX08P3wwaAINataTGU1PTEPDnTjx68kRBkRERERFRWWGxnA9dXV0MGdgfZqamUuOZmZnY9dce3Lx9W0GREREREVFZYLFcAA0NDQzo2xt1bepIjYvFYhw4FIQLFy8pKDIiIiIiKm0slgtBTU0NvXp0h6NDw1zHjoecxLETIRCLxQqIjIiIiIhKE4vlQhIKhejcwQfN3JrmOhZ66TIOHDqMrKwsBURGRERERKVFIOaSaJFduHgJx0NO5hq3qWONnt26Qk1NTQFRUX4uX7mq6BCIiEqFrq6uokOgSsTOtp6iQyhzXFkuhmZuTdGlUwcIBAKp8Sdh4Qj4cydSUlIVFBkRERERyROL5WJybNgQvb/uAVVVVanxiJcvsSUgEO/ev1dQZEREREQkLyyWS6BunToY0LcPNDSqSI1Hx8Rg09ZtiIuLV1BkRERERCQPLJZLyNzMFEMGDICujo7UeGLiO2zaug2vIyMVFBkRERERlRSLZTkwMKiFbwYPhL6entR4ckoKtgb+iafPnismMCIiIiIqERbLclK9WjUMGTgAJsZGUuPp6enYvnMX7t1/oKDIiIiIiKi4WCzLkba2Fgb26wsrS0upcZFIhL/37cfVa9cVExgRERERFQuLZTmrUqUK+vbqCXs721zHgo7+g1NnzvJpf0RERERKgsVyKVBVVUX3Lp3h3LhxrmNnzp3HkaPHIBKJFBAZERERERUFi+VSIhQK8VX7dmjl0SLXsavXr2PP/gPIzMxUQGREREREVFgslkuRQCBAK48W8GnvnevY/QcP8eeu3UhLS1NAZERERERUGCyWy4Bzk8bo2a0rhELpf+5nz19ga+CfSEpKVlBkRERERJQfFstlxN7OFv1694K6urrUeGRUFDZvC0BCQoJiAiMiIiKiPLFYLkNfWFliUP++0NLSkhqPi4/Hpq0BiI6OUVBkRERERCQLi+UyZmJsjG8GDkC1alWlxt9/+IDNAQH4N+KlgiIjIiIiopxYLCuAvr4evh00EAa1akmNp6amIeDPHXj8JExBkRERERHR51gsK4iuri4GD+gPM1NTqfHMzEzs/Otv3LpzR0GREREREdEnLJYVSFNTAwP69oZNHWupcbFYjP0HD+PCxUsKioyIiIiIABbLCqempoZePbrDsWGDXMeOh5zEsZCTfDx2OeLl2QYDBvQv9Pzz58+jdauWaOrqAo8WzUsxsuJhPsynLDGf8p0PEckmELMSKxfEYjGOnzyFUBmryY4ODdHJ56tcfZqp8C5fuSqX60REREBDQwO1cuw3z0vnTh2RnJyMJUuXQa9GDZiZm8slDnlhPsynLDGf0slHV1c33+MB27bBz28t3r59C5FIhGHDhuOnCROk5pw6dRIzpk9HXFwcAEBTUxMb/DfCyckpz+u+evUKY0aPQlhYOMRiEVRVVTFy5Ch89/33AID09HR8+803uHXrJrKysqCiogJnZxf4b9xYov+eFZSPvZ2tzPNatmyFtX5+eV73p/HjcOzYMWRlZUFTUxPTps9A9+7dJccvXryInydPQmxsLMRiMQyNjODntw5169Ytdi6FyScmJgbDhn6L8PBwiEQiqKmpoZ23NxYvXpLnNRcvWoTt2wORmpoKAKhSpQq6dOmK337/HQCQnJyMb4YMwaNHD5Geng6hUAgTExP4Ll8Oe/v6+cZrZ1uvSPmtXLkSs2fPRmxsLEQiEaZMmYJ58+ZJjkdFRcHb2xv37t2DSCSCuro6evToge3bt+d5zf3792PMmDF48+YNsrKy0LVrV+zdu7dIcRWFaqldmYpEIBCgnWcbaGtp4XjISaljt27fQUpKCnp07QI1NTUFRUgAYGZmVqT5iYmJsLOzg6OjYylFVDLMh/mUJeajmHzevX8Hc3MLdO3aDf7+G3Idv3jxIr4bMwYNGjTAz1N+Qc2aNXHx4sV8i/CkpCR07tQRmpqamDFjBmzq2uD+vfuo+dkvDqNHj8KNG9cxevQYuDdzx/Hjx7Fl82aMGzcWK1asLLV89uzdJ/V627at2LtnD74dOjTPa86dMwfBwcHo1r07vLzaYsniRZg+bSocHBxQp04dxMXFYfiwodDT08cyX18AwOxZs9C3T29cunwFqqrFL6cKymfI4EGIiIjApMmT0aBBA+zcuROHDh6EqakZxo0bJ/OatQxqoX//AWji3AQaGprYHhiAXbt2wtjYCCNHjUZiYiL+/fcFevfpgxYtWuBN1BvMmzcXA/r3x/UbN4udiyxv376FjY0NhgwZgoULF+Y63qZNG4SFhWHJkiVwdnbG2rVrERgYCCsrK8yZM0fmNRMSEmBiYoIePXpg9erVco1XFq4sl0M3b9/GwcNHcm2/MDM1RZ+ve0JTU0NBkSkvea0se3m2gbGJCQICAtHM3Q1NmjgjMvI1IiIiIBQK4e3tjd//NwsA0NTVRepcJ6fG+a5qKALz+Q/zKX3M5z/yzKegleXP2dvZ5lq59PJsA6FQBceOHy/0dSZOnICjwcG4dPlKrmcHfNKieTPo6lbFkeBgyVjrVi2hpqaGY8dPFPq98iMrn5xaerRAeno6Ll66nOecJo2dYGpqiv0HDgLIvtm+kaMD3Js1w/r1G7BunR98ly1DyMlTMDIyAgBERkbCy7MNfpowAcOGDS+1fBo5OsDJqTE2bd4sGWvs1Ah2dvYIzGf1NSenRo1Qv359BAQGyjy+d+9eTJv6CwK3/5nvXxSKurL8OYFAkGtlWUNDA82bN8eJE/99T2hpaaFx48Y4d+5cgddUVVVFp06dSnVlmX/XL4caOTigV8/uuX5TjXj5ElsCAvH+/XsFRUY5XblyGfVsbbFy1Wq4uroiODgYoRfOAwACAgKhpqYGWzs7BAQE5vkbcnnCfMo35lO+KWM+mZmZiIyMhKmpKZq5u6G+vR2aNHbC0iV5/4kfAEIvXICRkRG+7tkD9e3t0MjRAUOHfov09HTJnHq2tnj5MgLnzp4FABw5cgQxMTHw8GhZqjl97vHjx4iNjUWHjh3znJOUlISUlBS0atVaMqaqqoratWvj0cOHAIDUlBQAgI6OjmTOp19Szpw5UwqR/6d27dq4ffsW7t69C5FIhM2bNyE1NRVfffVVoc4XiUTw9/dHWloqWrVqlee8uLhYAICxsbFc4i4sKysrXLx4EVevXoVIJMLSpUuRkpKC3r17l2kc+eE2jHKqno0NBvTtjR27/0JqappkPDomBpu2BqB/397Q19NTYIQEZH+ozJkzFwDg7OyMZu5uCAo6AvdmzWFTty4EAgE0NTRhU8I9bWWF+ZRvzKd8U8Z8wsKy+/pfunQRnp6e8OnQEXv37sGGDetRq1YtDBw0SOZ5Hz58wNu3b2FhYYl58+fj7p27CAwMwPDhw7Bly1YAgJ/fOgzo3x8jRvy36tqseXP8OnNm6Sf20ZLFiwGBAGPHjstzzosXzwEApjlauVavXh2xsdkFZIeOnbB27VoMGjgQG/z9IRaLMfTbbwAA8R/3eZeWnbt2o0f3buj1dU/J2Ndff40BAwfme96nle9PunbrhuEjRsic++7dO6xZvRomJiaSlfOycunSJTg5OcHF5b+/vgwfPhw//PBDmcaRH64sl2PmZmYYPKC/1G+yAJCQmIhNWwPwOjJKQZHRJ5ZWVpL/LxQKoaamJvntXBkxn/KN+ZRvypiPSJQFADAxMcGq1Wvg4+OD9es3QF9fH5s3b8rzPLFYDKFQiP0HDqBz5y6YOm0aWrdujaufbXlbMH8+7t69g/79B8B3+XL06tUboRcu4NcZ00s9r08uXgxFXRsbVK1ateDJ+bC2tsa48ePx5MljtGjeDB4tmiMpKRkaGhoQCEq3lJo0cQIiIyMxatQoLPNdDu/27bF7925s2LA+3/Nq1aoF/40bsXjJUrRu3Rr79u7Fli2bc81LTk5GB5+vIBYDAYGF39YhL/369UNERASmT5+O3bt3o2fPnli/fr3M/c2KwmK5nDM0MMC3gwZAT6+G1HhycjK2Bm7Hs+fPFRMYAYDMmzpEIuW9DYD5lG/Mp3xTxnwsLCwBAObmFlLjJia18e7duzzP09DQgI6OLtTV1SVj9Rs0gFgsQlJSEgDgzz+3w9vbG9OmT4e3d3v89vvvaNrUDfv375d/IjIEBgYgIyMDI0eNznfep3+Dly9fSo0nJCRAW1tb8nrEiJG4c/ceDgcdwbHjJ3Ds+HGkpaWhdu3aco/98xhOnz6NESNG4sex49C+fXv4+i6HpaUlNvr753uuqqoq3N2bwcfHB2v+WAtLS0v4rV0rNSc5ORlffdkeHz58wL59+8p8VTk+Ph6HDx/G1KlTMWvWLPTs2RO7d+9G3bp1WSxT0VSvXh3fDBwA4xzfxOnp6di+czfuP3iooMiIiEiZaWtrQ0tLCxEREVLjUVGRqFatWp7n1alTB0lJH5CZmSkZe/jgAYRCoaTA/LT6/DmhirDMnh2wdcsWaGhoFLi3V1tbG5qamjhz5rRkLDMzE69evUI929xt6KysrFC7dm1s2rgRYrEY/YvQa7uoPrV+E6rk+HcUFv3fUSQWIysrS/L6U6GcmJiIv/7eAwtLyxLHW1TJyckAkPv7pBj5lSbuWVYS2traGNS/L3b9vQfPnr+QjGdlZeGvvfvgk9Iezo3zvnuViIgqp5iYGFy5ckXy+unTcAQFBcHY2BhOTk7o27cf/P034OfJk9G1W1fs3LkTMTExmD7jV8k53u3aQl9fH3/u2AkA+HnKL+jbpzd69uiOiRMn4ebNmzhx4gTc3Nwl55iamiI4OBiWllZwb+aOUydPIfTCBTRo0LBU8wGye/dGRETAp0MHmddwa+oKN3d3+PouBwD06NETAQHb8OuM6fD08sLiRYsgEokwadJkyTnTpk2FUyMnmJqZ4WhwMHbt2gn7+vVLfMNiQfno6upinZ8ftLW1YW9fHwf278PTp0/h4+MjOSfn12fYsKFo6toUjo0aITk5Cbt27sS/L16gS5cuALKL1C/beyM+Ph6LFi9BRkYGHn68mdHMzExqRb2koqKicPr0f7+IPHjwADt37oS5uTnc3d1RrVo1zJ07F1WrVkXjxo2xdetWPHz4EH369JGcY21tDQMDA4SGhgLI3jN/+PBhANm/lL18+RI7d+5EzZo14eXlJbfYP2GxrESqVKmCvr2+xt4DB/Hg4SOpY0HBR5GUlISWLZpDIBAoKEIiIipvgoIOY8H8+ZLXISEhCAkJgZmZGY7+cwwTJk5EXHwcDh08iIMHD6BKlSoYPmIE+vXrJzknMTFR6r8tjo6O+O2337Fw4QKMGDEcKioqcHN3xx9//Pdn/m0BARg1chT8/NZizZrVUFFRQaNGTli3Pv+9tiXNBwCWLs3u5jFhwkSZ10hKSkJ8fLzk9dRp0xAdE429e/fir7/+gqamJmbNmi31wJHwsHDs27sXYrEYqqqqaN26NVauKnmP34Ly2bJ1G8aN/RGLFi6UPJSkTZs2WLhoseScnF+flOQUrFy5InvlXyCAlqYmBgwYiKnTpgEAHjy4L7l5ccJP46Xi+XnKFAwePKTEeX2yY8cOjB//33vs378f+/fvh7W1NcLCwnDmzBn06NEDEyZMkDyUpHPnzgj8rMVdXFycVH43b96UKqavXr2KPn36oFq1akhISJBb7J+wz7ISEolECP7nGK5ev5HrmEuTxvjSux0L5hzk1WeZiKi8KUqfZaKSKkmfZWXFPctKSCgU4qv23mjZonmuY1euXceefQek9iURERERUfGwWFZSAoEArVt64CvvdrmO3XvwAH/u2o20tDQZZxIRERFRYbFYVnIuzk3Qo2uXXHeSPn32HNu270BSUrKCIiMiIiJSfiyWK4D69nbo17sX1NTUpMZfR0Zi87YAJCQmKigyIiIiIuXGYrmC+MLKEoP694OWpqbUeFx8PDZtDUB0TIyCIiMiIiJSXiyWK5DaJsYYMmgAqlWTfqzn+/fvsXlbICJyPJ2IiIiIiPLHYrmCqamvj28GDUStmjWlxlNTU7Ft+w48CQtXUGREREREyofFcgVUVVcXQwb2h6mp9PPqMzMzsWP3X7h9566CIiMiIiJSLiyWKyhNTU0M7NsHNnWspcbFYjH2HTyE0EuXFRQZERERkfJgsVyBqampoVeP7nBo2CDXsWMnQnD85CnwAY5EREREeWOxXMGpqKigS8cOcGvqmuvYhdCLOBh0BCKRSAGREREREZV/LJYrAYFAAG8vT7T1bJPr2M1bt7Hr7z3IyMhQQGRERERE5RuL5UqkmVtTdO7gA4FAIDX++EkYAnfsRGpqqoIiIyIiIiqfWCxXMo0cHdCrR3eoqqpKjf8b8RJbAgKRkpKioMiIiIiIyh8Wy5VQvbo26N+nN6pUqSI1/iY6BqfPnlNQVERERETlD4vlSsrC3AxDBvaHurq61Pj79x8UFBERERFR+cNiuRITCoVIT0+XGrO0MFdQNERERETlD4vlSuzi5StSrzU0NODo0FBB0RARERGVPyyWK6kPH5JyPfbaubFTrm0ZRERERJUZi+VK6ur168jKypK8VlFRgYtzEwVGRERERFT+sFiuhDIyMnDl2nWpsYb17aGro6OgiIiIiIjKJ9WCp1BFc+vO3Vz9lN1ccz8Om4iIyr/3798rOgS50tXVVXQIRFK4slzJiMViXMpxY5/1F1/AwKCWgiIiIiIiKr9YLFcyj5+EIS4+XmrMvSlXlYmIiIhkYbFcyYReuiT12tCgFqwsLRQUDREREVH5xmK5Enn1OhL/RryUGnNv2hQCgUBBERERERGVbyyWK5GLly5LvdbV0UF9ezsFRUNERERU/rFYriQSEhJw/+FDqTFXF2eoqKgoKCIiIiKi8o/FciVx6cpViMViyWt1dXU0cWqkuICIiIiIlACL5UogNTUVN27dlhpzcnSAhoaGgiIiIiIiUg4sliuBazduIj09XfJaIBDA1cVZgRERERERKQcWyxVcVlYWLl+9JjVmZ1sPNapXV0xAREREREqExXIFd+/Bg1yPQuVDSIiIiIgKh8VyBSYWixF6UbpdnJmpKWqbmCgoIiIiIiLlwmK5Anv2/AXeREdLjTVz46oyERERUWGxWK7ALl6WXlXW06uBujY2CoqGiIiISPmwWK6gomNiEBb+VGrMzcWFj7YmIiIiKgIWyxXUxctXpF5ramrC0aGhgqIhIiIiUk4sliugDx8+4M7de1Jjzo2doKampqCIiIiIiJQTi+UK6PLV68jKypK8VlFRgUuTJgqMiIiIiEg5sViuYNLT03HtxnWpMYeGDaCjo62giCoWL882GDCgf6Hnnz9/Hq1btURTVxd4tGheipEVD/NhPmWJ+TAfImUkEIvFYkUHQfJz5dp1HDn6j9TY6BHDUKtmTQVFVD5cvnJVLteJiIiAhoYGatWqVaj5nTt1RHJyMpYsXQa9GjVgZm4ulzjkhfkwn7LEfJhPYejq6uZ5bNiwobhx/TpSUlIgEAigr6+POXPnwsOjpWTO5MmTcPrUKckDuY4dP4HatWsX+L4/jR+HY8eOISsrC5qampg2fQa6d+8uOX7x4kX8PHkSYmNjIRaLYWhkBD+/dahbt26xcy1MPh07+ODFixfIysqSzJk1ew5atWqV53Xt7Wxljrds2Qpr/fwAAB4tmuPt27cQiUQQCIQwMTHB8hXLYW9fP9+Y7Wzr5Xmsffv2OHfuHJKTkyEQCGBoaIiNGzfiq6++kswZMGAADh06hMTERADA8+fPYWFhke97AsDVq1fx9ddf48WLFxCLxahSpQrWrVuHQYMGAQAmT54Mf39/vH37FmKxGDt27EDv3r0LvG5hqMrlKlQuiESiXO3i6lhbV/pCWZ7MzMyKND8xMRF2dnZwdHQspYhKhvkwn7LEfJhPSd2/dw8+Pj5o3aYN0tMzMGf2LIwZPRqnTp+Bvr4+ACAlORkOH2M6f+5coa47d84cBAcHo1v37vDyaoslixdh+rSpcHBwQJ06dRAXF4fhw4ZCT08fy3x9AQCzZ81C3z69cenyFaiqFq+cKkw+9vXro0+fvrCzt0Pk60gsWDAf340Zjes3bkJdXV3mdffs3Sf1etu2rdi7Zw++HTpUMubo6IjWrdvgC2trPHnyGIsWLsSggQNx9dp1FNe1a9fQt29fdOrUCWlpafj+++/RqVMnvH79GgYGBgCApKQkuLm5AQCOHj1aqOs+e/YMbm5usLKygr+/P6ytrXH+/HmYmppK5rx79w6Ojo4wMzPD1q1bi52DLFxZrkAePnqEXX/vlRob2K8vrCwL/o2topPXyrKXZxsYm5ggICAQzdzd0KSJMyIjXyMiIgJCoRDe3t74/X+zAABNXV2kznVyaiz5jb68YD7/YT6lj/n8h/nkLb+V5ZzCw8PRqWMHTJ06DQMGDpQ6tmXLZiyYP79QK8tNGjvB1NQU+w8cBABkZmaikaMD3Js1w/r1G7BunR98ly1DyMlTMDIyAgBERkbCy7MNfpowAcOGDS9ilkXP55OjR49i/Lix2Lhps6ToLEhLjxZIT0/HxUuX85zj6+uLdX5rcfXadWhpaeU5L7+V5ZwePHgAe3t7rFixAj/88EOu9xs/fnyhVpbd3Nzw4MEDyWp0fs6dOwcPDw+5rixzz3IFEnpJul2ckaEhLC3K15/5KporVy6jnq0tVq5aDVdXVwQHByP0wnkAQEBAINTU1GBrZ4eAgEDMmTNHwdEWjPmUb8ynfGM+ZS86+g0ASArY4khKSkJKSgpatWotGVNVVUXt2rXx6OFDAEBqSgoAQEdHRzLnU1F/5syZYr93TgXlExcXh3V+a6GiooKGDQvXDvbx48eIjY1Fh44d85zz74sXOLB/H7S1tfMtlIvq9evXACC1AlwcN27cgLW1NUxNTSEUCqGlpSXZflEWuA2jgnj56hUiXr6UGnNv6sqHkJQyY2NjzJkzFwDg7OyMZu5uCAo6AvdmzWFTty4EAgE0NTRhU4I9bWWJ+ZRvzKd8Yz5lKzMzE5MmToS2tjbatmtX7Ou8ePEcQO6Crnr16oiNjQUAdOjYCWvXrsWggQOxwd8fYrEYQ7/9BgAQHxdX7Pf+XH75TPhpPI4cOQIAUFNTw/oN/tDWLtyN+0sWLwYEAowdOy7Xsd69euHOndsAAC0tLfz9956SJfGZzMxM9OvXD7q6uujWrVuJrpWeno4bN27A3d0dixYtwuHDh7Ft2zZUqVIF69evl1PEeePKcgURmuNPK1V1dfPc4E/yY2llJfn/QqEQampqiIuLVWBEJcN8yjfmU74xn7LVrWtXJCYmYuOmTaX+XtbW1hg3fjyePHmMFs2bwaNFcyQlJUNDQwMCgXxKqfzymThpMtZv8MfUqdNQtWpVjBk9Cu/evSvUdS9eDEVdGxtUrVo117H5CxZg3br1GD/+JwgEAvTv3w8ikajEuQDZe6Lj4uJw4sQJuVxPR0cHFy5cQN++fREQEAAHBwfs2LFDLtcuCIvlCuBtQgIePnosNebq4gwVFRUFRVR5yLqpQyRS3tsAmE/5xnzKN+ZTdrp07oRnz55i46bNaNjQoUTXsrCwBAC8zPHX2YSEBKnV2xEjRuLO3Xs4HHQEx46fwLHjx5GWllaoThsFKSgfY2NjNG/eHAMGDkTw0X+QmpqKFSuWF3jdwMAAZGRkYOSo0TKPW1lZoYWHB4aPGIGNmzYhPj4ef+3eXeJ8HBwc8OjRI4SEhMDFxaXgEwqgoqICExMTqTF7e3skJyeX+NqFwWK5Arh0+Qo+v09TXV0djRuVz7utiYiIikskEqFL504IDw+H37r1cinEtLW1oampiTNnTkvGMjMz8erVK9Szzf0XWisrK9SuXRubNm6EWCxG/yL0ps6pOPl8+u99WmpqgXO3btkCDQ0NqdZtecnMzH6YWUpqSoFz8yISieDg4IB79+7hyJEjaNmyZcEnFYKpqSmioqKkxh49eiTX/dX54Z5lJZeSkoobt25LjTVu5AgNDQ0FRURERFQ6unbpjLCwMPzyy1To6+vj4ccb8IyMjFC9enUAwMOHD/H06VM8fPAAAHDq1EnUqKGHBvXrw/xj1wW3pq5wc3eHr2/26myPHj0RELANv86YDk8vLyxetAgikQiTJk2WvPe0aVPh1MgJpmZmOBocjF27dsK+fn2pnsjyzufy5ctYt84PnTt3hpmZOR4/foRVK1dCIBBg8JBvJNdxdGiIQYMGY8LEiZKxqKgoREREwKdDh1zv+/dff+HsubPw9m4PIyMj3Lp5E2vWrIaqqip69OhZ7Hw+Fcq+vr4wNDTE7dvZ9YmpqSn09PQAALdv38aDBw9w48YNAMDBgwdRq1YtODs7w9raGgCgp6cHLy8v7P64yv37779jyJAh8Pb2xs8//4w9e/bgxo0bGD36vxXz8PBwXL16VfJveOHCBQCAnZ0dHBxK9tcHFstK7tqNG8jIyJC8FggEaOrirMCIiIiISkdYWBgAYN68uVLjPXr0wKzZ2R055s6dg6tX/usONWf27FxzkpKSEB8fL5kzddo0RMdEY+/evfjrr7+gqamJWbNmSz1wJDwsHPv27oVYLIaqqipat26NlatWl2o+OjraeHD/PkIvXIBYLIZQKISRkRHW+vmhTp06kvkZGRlISHgrdY2lS5cAACZMmIicdKvq4mJoKI798w/EYjFUVFRgaWmFefPnS3X8KKp79+4BAMaNGyc1PnToUGzYsAEA8OOPP+L06f9W8T+1lPt8zrt37xATEyOZM3jwYISHh2PhwoU4duwY1NXVMXDgQKxZs0YyZ968efD395e8XrFiBVasWIFWrVrh1KlTxc4JYJ9lpZaVlYXlq//Ahw8fJGP17e3Qo2sXBUZVPsmrzzIREZWuovRZprJXlD7LFQX3LCuxu/fuSxXKQHa7OCIiIiKSDxbLSkosFudqF2dhbgYTY2MFRURERERU8bBYVlJPnz9H9Gf7eYDsGxaIiIiISH5YLCup0IvSq8r6enqo+9lmfyIiIiIqORbLSuhNdDSePnsmNebGR1sTERERyR2LZSV08fIVqddaWlpwaFBfQdEQERERVVwslpXM+/fvcefuPakxlyaNoaampqCIiIiIiCouFstK5vK16xCJRJLXqqqqcG7cWIEREREREVVcLJaVSHp6Oq5dvyE15tCgAbS1y+bZ6ERERESVDYtlJXLz1m2kpqZKjbk1dVFQNEREREQVH4tlJSESiXApxyOb69rUQU19fQVFRERERFTxsVhWEo8eP8bbhASpMTdXPoSEiIiIqDSxWFYSF3I82trE2AgW5mYKioaIiIiocmCxrAQiXr7Eq1evpcbcXPkQEiIiIqLSxmJZCYTmWFWuVrUq7O1sFRQNERERUeXBYrmci49/i4ePHkuNNXV1hlDILx0RERFRaWPFVc5duiL9aOsqVarAydFRQdEQERERVS4slsux5OQU3Lx9R2qscSNHVKlSRUEREREREVUuLJbLsWs3biAjI0PyWigUwtXFWYEREREREVUuLJbLqczMTFy5ek1qrL6dHapVraqgiIiIiIgqHxbL5dTde/fxISlJaoyPtiYiIiIqWwKxWCxWdBBEREREROURV5aJiIiIiPLAYpmIiIiIKA8slomIiIiI8sBimYiIiIgoDyyWiYiIiIjywGKZiIiIiCgPLJaJiIiIiPLAYpmIiIiIKA8slomIiIiI8vB/2ChN59gGdMgAAAAASUVORK5CYII=" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 4 + }, + { + "cell_type": "code", "source": [ "plt_path = _plot_path(\n", - " x, y, metric=\"dtw\", title=\"dtw path window 0.2\", dist_kwargs={\"window\": 0.2}\n", + " x, y, method=\"dtw\", title=\"dtw path window 0.2\", dist_kwargs={\"window\": 0.2}\n", ")\n", "plt_path.show()\n", "plt_alignment = _plot_alignment(\n", - " x, y, metric=\"dtw\", title=\"dtw alignment window 0.2\", dist_kwargs={\"window\": 0.2}\n", + " x, y, method=\"dtw\", title=\"dtw alignment window 0.2\", dist_kwargs={\"window\": 0.2}\n", ")\n", "plt_alignment.show()" ], @@ -205,39 +195,44 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:01.106667Z", - "start_time": "2023-10-12T12:51:00.729723Z" + "end_time": "2024-12-05T16:18:36.050181Z", + "start_time": "2024-12-05T16:18:35.527399Z" } - } - }, - { - "cell_type": "code", - "execution_count": 6, + }, + "id": "310b0ca1c9c74505", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 5 + }, + { + "cell_type": "code", "source": [ "plt_path = _plot_path(\n", - " x, y, metric=\"edr\", title=\"edr path\", dist_kwargs={\"epsilon\": 1.0}\n", + " x, y, method=\"edr\", title=\"edr path\", dist_kwargs={\"epsilon\": 1.0}\n", ")\n", "plt_path.show()\n", "plt_alignment = _plot_alignment(\n", - " x, y, metric=\"edr\", title=\"edr alignment\", dist_kwargs={\"epsilon\": 0.2}\n", + " x, y, method=\"edr\", title=\"edr alignment\", dist_kwargs={\"epsilon\": 0.2}\n", ")\n", "plt_alignment.show()" ], @@ -247,36 +242,41 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:03.892861Z", - "start_time": "2023-10-12T12:51:02.211254Z" + "end_time": "2024-12-05T16:18:38.115381Z", + "start_time": "2024-12-05T16:18:36.054687Z" } - } - }, - { - "cell_type": "code", - "execution_count": 7, + }, + "id": "37a737c679432ca9", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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EwFELIkuaNWsWDh8+DKPRKHWUNGFhQURE5MR0Oh0WLVoEIH1N2//FPgsiy4qLi8PQoUNRs2ZN3Lx5U+o4aaKSOgARERFJZ/PmzYiNjYWvry8+/vjjDB+nXr16+P3331lYEFnI+g0b8N2PPwMA8uXLJ3GatOGIBRERkRMzNW336tXLvOldRtSqVQtKpRLXrl3D7du3LRWPyGltWL9e6gjpxsKCiIjISV27dg2hoaEQBCFNTduCICCPX27k8csNQRBS/Sxr1qyoXLkyAPZZEGXWo0ePZLkvDAsLIiIiJzV//nwAQKNGjVCoUKEPPl6tViOkZw+E9Ozx1tEN9lkQWcbGjRthMBikjpFuLCyIiIickFarxeLFiwFkrmn7dXXr1gXwqrAQRdEixyRyRv/884/UETKEhQUREZET2rhxIx4+fAg/Pz+0aNHCIscMCgqCRqPB3bt3cfXqVYsck8jZPH78GHv27JE6RoawsCAiInJCpqbt3r17p7lpW6fTYdqs2Zg2azZ0Ot0bP3d3d0f16tUBcDoUUUZt3rwZer0epUuXljpKurGwICIicjJXrlzBvn37IAgCQkJC0vw8URSRkJCIhITEd051Yp8FUeasXbsWAPBJ69YIKFIEAUWKQKGQx0d27mNBRETkZObNmwcAaNq0KQoUKGDRY9erVw/fffcdwsLCIIriG6tHEdG7PX36FKGhoQCA9u3aoXjx4hInSh95lD9ERERkESkpKViyZAkAyzVtv65KlSpwd3dHXFwczp8/b/HjEzmyzZs3Q6fToVSpUrIrKgAWFkRERE5l/fr1iI+PR968edGsWTOLH1+j0aBWrVoAOB2KKL1M06DatWsncZKMYWFBRETkRExN2yEhIVCprDMj+vVlZ4kobRISErB7924ArwoLrVaLCZOmYMKkKdBqtRKnSxsWFkRERE7i4sWL2L9/PxQKRbqattPL1MAdHh4uy02+iKSwZcsWaLValChRAiVLlgTwaiW2t63AZq9YWBARETkJU9N28+bNkS9fvnQ/XxAE+OTMCZ+cOd/blF2+fHl4eXkhISEBp06dynBeImdi2hRPrtOgABYWRERETiE5ORlLly4FkPGmbbVajQF9QzCgb8h7975QqVQIDg4GwOlQRGmRmJiInTt3AgDatm0rcZqMY2FBRETkBP755x88fvwY+fPnR5MmTax+Pu5nQZR227ZtQ0pKCooVKybLjfFMWFgQERE5gdebtpVKpdXPZyosDh06JJvGUyKpmFaDatu2raz3frFqYXHgwAG0bNkSefLkgSAI2Lhx43sfHx4eDkEQ3viKjY21ZkwiIiKHdv78eRw6dAhKpRK9e/fO8HF0Oh3mzFuAOfMWfLChtFSpUsiZMydevHiB48ePZ/icRI7u+fPn2LFjBwB591cAVi4sXrx4gcDAQMyaNStdz7t06RLu379v/sqVK5eVEhIRETk+U9O26WJfRomiiLj4eMTFx0MUxfc+VqFQcNlZojTYtm0bkpOTERAQgLJly5rvFwQBBfL7o0B+f9mMYlhnAev/17RpUzRt2jTdz8uVKxe8vb0tH4iIiMjJJCUlYdmyZQCss9P2+9SrVw9r167Fvn378O2339r03ERy8fqmeK8XEGq1Gt27dpEqVobYZY9FuXLl4Ofnh4YNG+Lw4cNSxyEiIpKtNWvW4OnTpyhYsCAaNWpk03Ob+iwiIiKQlJRk03MTycGLFy+wfft2APJeDcrErgoLPz8/zJ07F+vWrcO6devg7++POnXqICoq6p3PSUlJQWJiYqovIiIiesXUtN2nTx8oFLZ92y9atCjy5s0LrVaLiIgIm56bSA62b9+OpKQkFC5cGOXLl5c6TqbZVWFRrFgx9OvXDxUrVkRQUBAWLVqEoKAgTJ069Z3PmTBhAry8vMxf/v7+NkxMRERkv86ePYvIyEioVCr06tXL5ucXBIHLzhK9x+ub4v23j0Kr1WLy1GmYPHWabFZWs6vC4m2qVKmCq1evvvPnY8aMQUJCgvnrzp07NkxHRERkv0yjFR9//DFy584tSQZTYREWFibJ+Yns1cuXL7F161YA754G9TIpCS9lNI3Qqs3blhAdHQ0/P793/tzFxQUuLi42TERERGT/Xrx4gb/++guA5Zq2BUGAl1dW8+20MK0MdezYMTx79gyenp4WyUIkdzt37sTLly9RsGBBVKxYUeo4FmHVwuL58+epRhtu3LiB6OhoZM+eHfnz58eYMWNw794982oVf/zxBwoVKoRSpUohOTkZCxYswL59+7B7925rxiQiInI4q1evRmJiIgoXLoz69etb5JhqtRrDBg1M13MKFCiAwoUL4/r16zh48CCaNWtmkSxEcucom+K9zqpToU6cOIHy5cubm1FGjBiB8uXLY9y4cQCA+/fv4/bt2+bHa7VajBw5EmXKlEFwcDBOnz6NPXv2WOwFkYiIyFmYpkH17dvX5k3b/8U+C6LUkpKSsGXLFgDy3xTvdVYdsahTp857N9BZsmRJqu+//PJLfPnll9aMRERE5PCio6Nx7NgxqNVq9OzZU+o4qFevnnkWAhEBu3btwosXL5A/f35UrlxZ6jgWY/fN20RERJQ+ptGK1q1bI1euXBY7rk6nw4LFS7Bg8RLodLo0P8/UZxEdHY3Hjx9bLA+RXDniNCiAhQUREZFDef78OVasWAHA8jtti6KImPuxiLkf+94ZCf+VO3dulCxZEqIoYv/+/RbNRCQ3ycnJ5mlQ79sUTxAE5PHLjTx+uWVTfLCwICIiciCrVq3Cs2fPULRoUfNIgT1gnwXRK7t378azZ8+QL18+VK1a9Z2PU6vVCOnZAyE9e0CtVtswYcaxsCAiInIgc+fOBfCqaduernKaihwWFuTsTJvitW3bVvKFFSzNsf41RERETuzEiROIioqCRqNBjx49pI6TSnBwMARBwL///ovY2Fip4xBJIiUlBZs2bQLw/mlQcsXCgoiIyEGYmrY//fRT5MyZU+I0qeXIkQPlypUDwF24yXnt2bMHiYmJyJMnD6pXr/7ex+p0OkybNRvTZs1O12IJUmJhQURE5AASExOxatUqAJZv2rYU9lmQszOtBvXpp59+cBqUKIpISEhEQkJiuhZLkBILCyIiIgewYsUKvHjxAsWLF0ft2rWtdh53Nze4u7ll6LksLMiZabVa8zQoR9oU73VW3SCPiIiIrE8UxVQ7bVuraVuj0WDU8GEZfn6tWrWgVCpx/fp13Lp1CwUKFLBgOiL7tnfvXjx9+hS5c+dGUFCQ1HGsgiMWREREMnfs2DGcPn0aLi4u6N69u9Rx3snT0xNVqlQBwD4Lcj6vT4NSKpUSp7EOFhZEREQyZxqtaNeuHbJnzy5xmvfjsrPkjHQ6HTZu3AjAMVeDMmFhQUREJGNPnz7F33//DcD6Tds6nQ5Ll6/A0uUrMrxKzet9FnJpSCXKrH379uHJkyfw9fVFrVq1pI5jNeyxICIikrHly5cjKSkJJUuWRI0aNax6LlEUcev2HfPtjAgKCoJGo8G9e/dw5coVfPTRR5aMSGSXTJvitWnTJs3ToARBgM//LxttT5tdvg8LCyIiIpl6vWm7X79+svjw4ebmhqCgIISHh2Pfvn0sLMjh6XQ6bNiwAUD6pkGp1WoM6BtirVhWwalQREREMhUZGYlz587B1dUVn332mdRx0ozLzpIz2b9/Px49egQfHx+rLgVtD1hYEBERyZRptKJDhw7Ili2bxGnSzlRYhIeHw2g0SpyGyLpMq0G1bt0aKpVjTxZiYUFERCRDT548wZo1awDY707b71K5cmW4u7sjLi4O58+flzoOkdXo9XrzNKj0boqn0+kwZ94CzJm3IMOLJdgaCwsiIiIZWrZsGZKTk1GmTBlUq1ZN6jjpotFozCvjcDoUObIDBw4gLi4OOXLkQJ06ddL1XFEUERcfj7j4eNmsoMbCgoiISGakbNpWq9VQq9WZPg77LMgZONM0KICrQhEREcnOoUOHcOHCBbi7u6Nr1642O69Go8GYL0Za5Fiv91no9Xqn+NBFzsVgMGD9+vUAHHtTvNdxxIKIiEhmTKMVHTt2hJeXl8RpMqZ8+fLw8vJCYmIiTp06JXUcIos7ePAgHj58iOzZs5sLaUfHwoKIiEhGHj16ZN5sS25N269TKpXmOeecDkWOyPT/6SeffGKR6YNywMKCiIhIRpYuXYqUlBSUK1cOlStXtum59Xo9Vq5ei5Wr10Kv12f6eKaruGFhYZk+FpE9MRgMWLduHQDnmQYFsMeCiIhINkRRxLx58wBIs9O20WjE1WvXzLczq27dugBeTRnRarXQaDSZPiaRPYiIiEBsbCy8vb1Rv379DB1DEAR4eWU135YDFhZEREQysX//fly6dAkeHh7o3Lmz1HEyrVSpUvDx8UFcXByOHTuGmjVrSh2JyCJMq0F9/PHHGS6Y1Wo1hg0aaMlYVsepUERERDJhatru3LkzsmbNKnGazFMoFOZRC/ZZkKMwGo3maVDp3RRP7lhYEBERyUBcXJz5w4qcm7b/i/tZkKOJjIxETEwMsmbNigYNGkgdx6Y4FYqIiEgGlixZAp1Oh4oVK6JixYpSx7EYU2ERGRmJpKQkuLm5SZyIKHNenwbl4uKS4ePodDosXb4CANC9axdZrCzFEQsiIiI7ZzQaUzVtO5KAgADky5cPWq0WERERUschypTXp0FldjUoURQRcz8WMfdjIYqiJeJZHQsLIiIiOxcWFoarV6/C09MTnTp1kjqORQmCwOlQ5DCOHj2Ku3fvwtPTE40aNZI6js1xKhQREZGdMzVtd+3aFVmyZJEsh0ajwbixoy1+3Lp162LZsmUsLEj2TJvitWrVCq6urhKnsT2OWBAREdmxBw8eYMOGDQAcbxqUiWllqOPHjyMxMVHiNEQZI4qiubBwpk3xXsfCgoiIyI4tXrwYer0eVatWRWBgoNRxrKJAgQIoUqQIDAYDDh48KHUcogw5fvw4bt++jSxZsqBx48ZSx5EECwsiIiI7ZTQaMX/+fAD2MVqh1+uxdv0GrF2/AXq93qLHZp8FyZ1pNagWLVo47epmLCyIiIjs1J49e3D9+nV4eXmhQ4cOUseB0WjEhYuXcOHiJRiNRosem4UFydnr06AsuSmeu5sb3GVUpLB5m4iIyE6ZmrY/++wzuLu7S5zGukx9FqdPn8ajR4+QI0cOiRMRpd3Jkydx8+ZNuLu7o0mTJhY5pkajwajhwyxyLFvhiAUREZEdun//PjZt2gTAPqZBWZuvry9KlSoFURSxf/9+qeMQpcvr06Ac/SLA+7CwICIiskOLFi2CwWBAUFAQSpcuLXUcmzCNWnA6FMkJV4P6HxYWREREdsZgMNhV07atsM+C5OjUqVO4fv063Nzc0KxZM4sdV6fTYenyFVi6fAV0Op3FjmtN7LEgIiKyM7t378atW7eQLVs2izaC2rvg4GAIgoALFy7g/v378PPzkzoS0QeZRiuaN28ODw8Pix1XFEXcun3HfFsOOGJBRERkZ0xN2926dXOqZSuzZ8+O8uXLAwDCwsIkTkP0YaIomvsrnH0aFMDCgoiIyK7cu3cPW7duBWB/06DUajVGjxqB0aNGQK1WW+UcnA5FcnLmzBlcvXoVrq6uaN68udRxJMfCgsiO3b17F0ePHpU6BhHZ0MKFC2EwGFCrVi2UKFFC6jipCIIAjUYDjUYDQRCscg5TYcERC5ID02hF06ZNkSVLFonTSI+FBZGdev78OYKCglC9enVERERIHYeIbMBgMGDBggUA7G+0wlZq1qwJpVKJ69ev4+bNm1LHIXqn16dBOVMv1PuwsCCyUz///DNC+g/E9z/9gj+mTZM6DhHZwI4dO3Dnzh3kyJEDn376qdRx3qDX67Fpy1Zs2rIVer3eKufw9PRElSpVAHDUguzbuXPncPnyZbi4uKBFixZSx7ELLCyI7NDly5cxffp08/dbNm/G7du3JUxERLZgatru3r07XF1dJU7zJqPRiNNnz+H02XMwGo1WOw/7LEgOTKMVTZo0gaenp1XOoVarrdbPZA0sLIjsjCiK+Pzzz1OtWW0wGDBr1iwJUxGRtd25cwfbt28HAPTt21fiNNJ6vbCQyzKb5HysvSmeRqPBmC9GYswXI6HRaKxyDktjYUFkZ7Zu3YodO3a8cYVi/vz5ePHihUSpiMjaFixYAKPRiDp16qBYsWJSx5FU9erV4eLigpiYGFy+fFnqOERvOH/+PC5cuACNRoOWLVtKHcdusLAgsiPJycn4/PPPAQBDhgwx31+wYEE8efIEy5cvlygZEVmTXq93+qbt17m5uSEoKAgA+yzIPplGKxo3bgwvLy+J09gPFhZEdmTy5Mm4fv068uTJg6+++sp8f//+/QEA06dP57QAIge0bds2xMTEIGfOnGjdurXUcewC+yzIntliUzy9Xo+Vq9di5eq1VlsswdJYWBDZiVu3buGXX34B8KrA8PDwMP+sW7duyJIlC/7991/s2bNHqohEZCWmpu2ePXvCxcVF4jT2oW7dugBejVhYs1GcKL0uXLiA8+fPQ61Wo1WrVlY7j9FoxNVr13D12jXZ/D/AwoLITowaNQpJSUmoXbs2OnbsCIVCgYAiRRBQpAi8vb3Ro0cPAEi1WhQRyd/Nmzexc+dOAGzafl3lypXh4eGB+Ph4nDt3Tuo4RGamaVANGzaEt7e3tGHsDAsLIjuwd+9e/PPPP1AoFJgxYwYEQYBKpULnDu3QuUM7qFQqc8/Ftm3bcPXqVYkTE5GlLFiwAKIoon79+ggICJA6znup1WqMHDYUI4cNtfoSmBqNBrVq1QLA6VBkX0yFBTfFexMLCyKJ6XQ6c9EwcOBAlC1b9q2P++ijj9CsWTOIoogZM2bYMiIRWYlOp8PChQsByKNpWxAEeHi4w8PDHYIgWP187LMge3P58mWcOXMGKpXKqtOg5IqFBZHEZs6ciQsXLiBnzpz44Ycf3vvYYcOGAQAWL16MxMREW8QjIivasmULYmNjkStXLnz88cdSx7E7psJi//79smleJcdmatpu0KABsmfPLnEa+8PCgkhCsbGx+O677wAAEyZMQLZs2cw/02q1mDBpCiZMmgKtVgvg1XzO4sWL49mzZ1i8eLEkmYnIckxN27169ZLFBlh6vR7bd+7G9p27bfJBv1y5cvD29kZiYiJOnTpl9fMRfYi1N8WTOxYWRBIaPXo0nj17hkqVKqFXr15v/Fyn06XagVsQBAwdOhQAMGPGDBgMBptlJSLLun79Onbv3g0A6NOnj8Rp0sZoNOJEVBROREXZZJUapVKJOnXqAOB0KJLe1atXER0dDaVSiU8++UTqOHaJhQWRRCIjI7F06VIAr6ZDKRRp+9+xW7du8Pb2xrVr17B9+3ZrRiQiK5o/fz4AoFGjRihcuLDEaeyXadlZFhYkNdNoRb169ZAjRw6rn0+j0WDc2NEYN3a0LEY0ARYWRJIwGAwYPHgwgFfr1letWjXNz/Xw8EBISAgAYNq0aVbJR0TWpdVqsWjRIgDyaNqWkqnP4uDBg+ZpoURSMPVXcDWod2NhQSSBhQsXIioqCl5eXpgwYUK6nz948GAoFArs3buX67sTydCmTZvw8OFD5M6dGy1btpQ6jl0rVaoUfHx8kJSUhKNHj0odh5zU9evXERUVBaVSidatW0sdx26xsCCyscePH2Ps2LEAgPHjx8PX1zfdxyhQoIB5fieXniWSH1PTdu/eva2+H4TcCYLAZWdJcqZpUHXq1EHOnDltck69Xo+16zdg7foNslkVjYUFkY19++23ePToEUqVKoWBAwdm+DimpWf/+usvPH782FLxiMjKrl69ir1790IQBNk0bUuNhQVJTYpN8YxGIy5cvIQLFy/ZZLEES2BhQWRD0dHRmDt3LoBXIw3vu1IpCAIK5PdHgfz+b92IqlatWihXrhySkpLMTaBEZP/mzZsHAGjSpAkKFCggcRp5MBUWR44cwcuXLyVOQ87m5s2bOH78OBQKBadBfQALCyIbEUURQ4YMgdFoRPv27c0rnbyLWq1G965d0L1rl7cWIK8vPTtr1izZDJMSObOUlBTzHjRybNpWq9UYOrA/hg7sb9MpXEWKFIG/vz+0Wi0iIiJsdl4i4H+jFcHBwciVK5fEaewbCwsiG1m5ciUOHToEd3d3TJ482SLH7NSpE3x8fHDnzh1s2LDBIsckIuvZsGED4uPjkTdvXjRv3lzqOOkmCAK8vb3h7e391pFUa56Xy86SVLgpXtqxsCCygWfPnuGLL74AAHz99dfw9/e3yHFdXV3NVz259CyR/Xu9aVulUkmcRl7YZ0FSuH37No4ePQpBENCmTRup49g9FhZENvDjjz/i/v37CAgIwMiRI9P0HK1Wi8lTp2Hy1GnvXbt9wIABUKlUOHz4ME6ePGmpyERkYZcuXUJ4eDgUCoV5Lxq5MRgMCN27D6F798FgMNj03KYRi+PHjyMhIcGm5ybntW7dOgCv+hpz584tcRr7x8KCyMouXryIqVOnAgD++OMPuLi4pPm5L5OS8DIp6b2PyZMnD9q3bw+AoxZE9szUtN2sWTOLjVramsFgQOTRY4g8eszmhUX+/PkREBAAo9GIgwcP2vTc5Ly4KV76sLAgsiJRFDFs2DDo9Xo0b97canOqTUvP/v3334iNjbXKOYgo45KTk7FkyRIA8mzathecDkW2dPfuXURGRko2DUqtVmP0qBEYPWqEbPa7YWFBZEWbNm3C7t27odFo8Mcff1jtPFWqVEG1atWg0+nMc7iJyH6sW7cOjx8/hr+/P5o2bSp1HNkyFRZhYWESJyFnYJoGVaNGDeTJk8fm5xcEARqNBhqNxqaLJWQGCwsiK0lKSsLw4cMBAKNGjUJAQIBVz2catZgzZw5SUlKsei4iSh9TwR8SEgKlUilxGvmqU6cOgFd7Aj169EjaMOTwpNgUT+5YWBBZycSJE3Hz5k3ky5cPY8eOtfr5Pv30U+TJkwcPHjzAmjVrrH4+Ikqbf//9FwcPHoRSqUTv3r2ljiNrvr6+KFWqFAAgPDxc2jDk0GJiYnD48GEAkGw1KL1ej01btmLTlq2y2avKqoXFgQMH0LJlS+TJkweCIGDjxo0ffE54eDgqVKgAFxcXBAQEmOekEsnJzZs38euvvwIApkyZAg8PD6ufU61WY+DAgQBeNXGLomj1cxLRh5matlu0aIG8efNKnEb+2GdBtrBu3TqIooigoCDky5dPkgxGoxGnz57D6bPnYDQaJcmQXlYtLF68eIHAwEDMmjUrTY+/ceMGmjdvjrp16yI6Ohqff/45QkJCsGvXLmvGJLK4ESNGIDk5GXXr1s3wEKogCMjjlxt5/HKneW5l37594eLigpMnT3J3WiI7kJSUhKVLlwJg07alsLAgW+CmeBkjiDa6rCkIAjZs2IBPPvnknY/56quvsG3bNpw7d858X8eOHfH06VPs3LkzTedJTEyEl5cXEhISkDVr1szGJkq33bt3o3HjxlAqlYiOjkbp0qVtev7evXtj0aJFaNeuHadEEUls2bJl6N69OwoUKIBr167Jvr9CFEXExccDAHxy5pSkofTJkyfIkSMHRFHEvXv3JGmqJcd2//595M2bF6Io4tatW8ifP78kObRaLX6d/DsAYPSoEdBoNJLkSM9na7vqsYiMjESDBg1S3de4cWNERka+8zkpKSlITExM9UUkFa1Wi6FDhwIABg8ebPOiAvhfE/f69etx584dm5+fiP7H1LTdp08f2RcVwKuLhLl8fJDLx0eyVWqyZcuGChUqAGCfBVnHhg0bIIoiqlatKllRIVd2VVjExsbC19c31X2+vr5ITExE0js2CZswYQK8vLzMX3LddIgcw/Tp03Hp0iXkypUL33//vSQZypYtizp16sBgMKR5GiIRWd65c+cQEREBlUqFXr16SR3HoXA6FFkTN8XLOLsqLDJizJgxSEhIMH/xCi1JJSYmBuPHjwcA/Prrr/D29s7U8XQ6HabNmo1ps2ZDp9Ol67mmUYt58+bh5cuXmcpBRBljGq1o1aoV/Pz8JE5jGQaDAeEHDiL8wEGb77z9urp16wJgYUGW9+DBAxw4cAAA+ysywq4Ki9y5c+PBgwep7nvw4AGyZs0KNze3tz7HxcUFWbNmTfVFJIWvvvoKz58/R9WqVdG9e/dMH08URSQkJCIhITHdKzy1bNkShQoVwpMnT7BixYpMZyGi9Hn58iX++usvAI7VtG0wGHDg0GEcOHRY0sKiZs2aUKlUuHHjBm7cuCFZDnI8GzZsgNFoROXKlVGgQAGp48iOXRUW1atXx969e1PdFxoaiurVq0uUiChtDh06hOXLl0MQBMyYMQMKhbT/aymVSgwePBgAl54lksLq1auRkJCAwoULv9E7SJnn6emJKlWqAOAu3GRZ9rQpnlqtxshhQzFy2FCo1Wqp46SJVT/9PH/+HNHR0YiOjgbwajnZ6Oho3L59G8CraUzdunUzP75///64fv06vvzyS1y8eBGzZ8/GmjVrzLsXE9kjg8GAIUOGAHi1IlPlypUlTvRKr1694OHhgfPnz3O6AJGNvd60LfWFBkfFPguytLi4OHOhag/ToARBgIeHOzw83CVbLCG9rPpqd+LECZQvXx7ly5cH8Gpt//Lly2PcuHEAXi3nZSoyAKBQoULYtm0bQkNDERgYiClTpmDBggVo3LixNWMSZcq8efMQHR0Nb29v/PLLL1LHMfP29jZPyZo2bZrEaYicx+nTp3H06FGoVCr07NlT6jgO6/XCgqOyZAkbN26E0WhExYoVUahQIanjyJLKmgevU6fOe/9nf9uu2nXq1MGpU6esmIrIcuLj4/H1118DAH788Uf4+PhInCi1oUOHYvbs2di6dSuuXbuGIkWKSB2JyOGZRitat279xkqHZDnVq1eHi4sL7t+/j8uXL6NYsWJSRyKZM60GZQ+jFQCg1+uxe8+rEblGDepBpbLqx3aL4PgsUSZ88803ePLkCcqWLYv+/ftLHecNxYoVQ5MmTSCKImbMmCF1HCKH9/z5cyxfvhyAYzVt2yNXV1fUqFEDAKdDUebFx8eb/47spbAwGo04ERWFE1FRMBqNUsdJExYWRBl08uRJzJs3DwAwY8YMi19JEAQBPjlzZnp3W9PSs4sWLeIGkkRWtmrVKjx79gwBAQHmJVHJerjsLFnKpk2bYDAYUK5cOQQEBEgdR7ZYWBBlgNFoxJAhQyCKIjp16oTatWtb/BxqtRoD+oZgQN+QTK0G0ahRIxQrVgzPnj176/RDIrIc0zSovn37OmTTtkqlQu8e3dG7R3e7mJZh6rMICwuTzRVdsk/cFM8yHO9Vj8gGli9fjsjISHh4eGDSpElSx3kvhUKBoUOHAng1ssI3XyLrOHnyJE6ePAmNRoMePXpIHccqFAoF8ubxQ948fnZROFWuXBkeHh549OgRzp49K3UckqnHjx+btzuwl2lQciX9qwKRzCQkJODLL78EAHz77bfImzevxIk+rFu3bvDy8sLVq1exY8cOqeMQOSTTaEWbNm3sbiEHR6VWq80jxpwORRm1adMm6PV6lC1bFh999JHUcWSNhQVROv3www948OABPvroI3z++edWO49Op8OceQswZ94C6HS6TB0rS5YsCAkJAcClZ4msITExEStXrgTg2E3bBoMBEUeOIuLIUUl33n4d97OgzLKnTfHkjoUFUTr8+++/mD59OoBXH9BdXFysdi5RFBEXH4+4+HiLrNE+ePBgKBQKhIaG4t9//7VAQiIyWblyJV68eIFixYohODhY6jhWYzAYsGdfGPbsC7O7wuLAgQPQ6/USpyG5efr0KUJDQwFwGpQlsLAgSiNRFDF06FDo9Xq0atUKTZo0kTpSuhQsWBCtWrUCAHNxRESZJ4piqqZtueyQ6ygCAwORLVs2JCYmIioqSuo4JDObN2+GTqdD6dKlUbx4canjpKJWqzF0YH8MHdg/U4u42BILC6I0Wr9+Pfbu3QsXFxdMnTpV6jgZYlp6dtmyZXj8+LHEaYgcw/HjxxEdHQ0XFxfzbvdkO0ql0jxKxOlQlF72tine6wRBgLe3N7y9vWVzwYKFBVEavHz5EiNGjAAAfPnllyhcuLDEiTImODgYZcuWRVJSEhYsWCB1HCKHYBqtaNu2LXLkyCFxGufEPgvKiISEBOzevRsA+ysshYUFURr8+uuvuH37NvLnz4/Ro0dLHSfDBEEwj1rMnDmT85GJMikhIQF///03AMdu2rZ3psLi0KFDSElJkTgNycWWLVug1WpRokQJlCxZUuo4bzAYDAjduw+he/fZTU/Th7CwIPqA69evY+LEiQCA33//He7u7hInypzOnTsjZ86cuHPnDjZu3Ch1HCJZW758OV6+fIkSJUqgZs2aUsdxWiVLlkSuXLmQlJSEo0ePSh2HZMLeN8UzGAyIPHoMkUePsbAgchTDhw9HSkoKGjRogDZt2tjsvIIgwMsrK7y8slp0bqWrq6v5yiqXniXKuNebtvv16yebOdCOSBAEToeidElMTMSuXbsA2G9hIUcsLIjeY8eOHdi8eTNUKhWmT59u0w8OarUawwYNxLBBAy2+GsTAgQOhUqlw6NAhrqJClEFHjhzB2bNn4erqim7dukkdxyZUKhW6demEbl06QaVSSR0nFVNhERYWJnESkoOtW7ciJSUFxYoVQ6lSpaSO4zBYWBC9Q0pKirkfYejQoShRooTEiSwnT5485is0XHqWKGNMoxXt27dHtmzZJE5jGwqFAgULFEDBAgWgUNjXR4i6desCACIjI/Hy5UuJ05C9e31TPI42Wo59vSoQ2ZE//vgDV65cga+vL7777jup41icqWhatWoVHjx4IHEaInl58uQJVq9eDYBN2/aiSJEi8Pf3h06nw+HDh6WOQ3bs+fPn2LFjBwD7XGZWzlhYEL3FvXv38OOPPwIAJk6ciKxZs9o8g06nw4LFS7Bg8RLodDqLH79q1aqoUqUKtFqt+corEaXNX3/9heTkZJQuXRrVq1eXOo7NGAwGHD9xEsdPnLS7ZlL2WVBabdu2DcnJyShatCjKli0rdRyHwsKC6C2++OILvHjxAkFBQejataskGURRRMz9WMTcj4UoilY5h2nUYs6cOdBqtVY5B5GjceambYPBgB27Q7Fjd6jdFRYA97OgtHl9Uzxn+v/XFlhYEP3H/v37sWrVKgiCgBkzZtjdPGJLatu2Lfz8/BAbG4s1a9ZIHYdIFg4fPox///0X7u7u+Oyzz6SOQ68x9VmcOHECCQkJEqche/TixQts374dgP2vBqVWq9G/T2/079Pb4ou4WIvjfmIiygC9Xo8hQ4YAAPr27YsKFSpInMi6NBoNBg4cCODV0rPWGhkhciSm0YqOHTvCy8tL4jT0On9/fxQtWhRGoxEHDx6UOg7Zoe3btyMpKQmFCxdGuXLlpI7zXoIgIJePD3L5+MhmZIWFBdFr5s6di7NnzyJ79uz4+eefpY5jE/369YOLiwtOnDiByMhIqeMQ2bVHjx6Zp1Gwads+cToUvc/rm+LJ5cO6nLCwIPp/cXFx+PbbbwEAP/30E3LkyCFxItvw8fFB586dAXDDPKIPWbZsGVJSUlCuXDlUrlxZ6jj0FqbpUCws6L9evnyJbdu2AbD/aVDAq56m8AMHEX7goF32NL0NCwui/zd27Fg8ffoU5cqVQ9++faWOY1OmJu5169bh7t27Eqchsk/O3LQtJ3Xq1AEAnD59GvHx8dKGIbuyY8cOvHz5EgULFpTFVGeDwYADhw7jwKHDLCyI5OT48eNYuHAhAGDmzJlQKpUSJ3rF3c0N7m5uVj9PYGAggoODYTAYMHv2bKufj0iODhw4gEuXLsHDw8M8ykf2x9fXF6VLlwYAhIeHSxuG7Ao3xbM+Fhbk9IxGIwYPHgxRFPHZZ5+hRo0aUkcC8KqxetTwYRg1fBg0Go3Vz2catZg3bx6SkpKsfj4iuTGNVnTu3FmSvW3sgUqlQsf2bdGxfVuoVCqp47wT+yzov5KSkrBlyxYA3BTPmlhYkNNbsmQJjh07Bk9PT/z2229Sx5FMq1atUKBAATx69AgrVqyQOg6RXYmPj8e6desAOHfTtkKhwEcBAfgoIMCul+JmYUH/tWvXLrx48QL58+dnf5QV2e+rApENPH36FKNHjwYAjBs3Dn5+fhInko5SqcTgwYMBcOlZov9asmQJtFotKlasiIoVK0odhz4gODgYCoUCly5dQkxMjNRxyA5wUzzbYGFBTu37779HXFwcihcvjqFDh0odJxWdToely1dg6fIV0Ol0Njln79694e7ujnPnziEsLMwm5ySyd6IoYt68eQCce7QCeNVMGn3mDKLPnLHrZlJvb29zcy5fyyg5Odk8DUoOq0HJGQsLclrnzp3DzJkzAQDTp0+3SR9DeoiiiFu37+DW7Ts2Gz3Ili0bunfvDoBLzxKZhIWF4cqVK/D09ESnTp2kjiMpg8GAzVu3Y/PW7XZdWABcdpb+Z/fu3Xj27Bny5cuHKlWqSB3HobGwIKckiiKGDBkCg8GANm3aoGHDhlJHshumkZstW7bg2rVrEqchkp6pabtLly7IkiWLxGkordhnQSavT4Oy596g/1KpVOjdozt69+hu14slvE4+v10iC1qzZg3Cw8Ph6uqKKVOmSB3HrhQvXhyNGzeGKIrmER0iZ/Xw4UNs2LABAKdByU3NmjWhUqlw8+ZN3LhxQ+o4JJGUlBRs3rwZgPymQSkUCuTN44e8efxkUxDJIyWRBb148QKjRo0CAIwePRoFCxaUNpAdMi09u2jRIjx79kziNETSWbx4MXQ6HapUqYJy5cpJHYfSIUuWLKhatSoAjlo4s9DQUCQmJiJv3ryoVq2a1HEcHgsLK7h9+zYmTpxo9/NPndUvv/yCu3fvomDBgvjyyy+ljmOXGjdujI8++giJiYlYunSp1HGIJGE0Gtm0LXOcDkWmTfE+/fRT2Vz1NzEYDIg4chQRR47K5jOlvH7DMmA0GtGjRw989dVXCA4OxvXr16WORK+5evUqJk+eDACYOnUq3Gywq7UcKRQKc6/F9OnTYTQaJU5EZHt79+7F9evXkTVrVnTo0EHqOJQBpsIiLCyMS2g7Ia1Wi02bNgGQ56Z4BoMBe/aFYc++MBYWzkqn06FOg0YY//MEHDt2DIGBgVi4cCFf0OzE559/Dq1Wi8aNG+Pjjz+WOs4HqdVqqNVqSc7drVs3ZM2aFVeuXMHOnTslyUAkJVPT9meffQYPDw+J01BGVKtWDa6urrh//z4uXbokdRyysb179+Lp06fw8/NDjRo1pI7jFFhYWNjrm64E1aiB58+fIyQkBK1bt8bDhw8lTEZbt27Ftm3boFarMW3aNLvfIEej0WDMFyMx5ouRkiyF6+npid69ewPg0rPkfGJjY81XOjkN6n9UKhXatv4EbVt/IotValxdXREUFASA06GckWk1qDZt2shuGpRc8bdsRTu2b8fEiROhVquxadMmlClTxrxBC9lWcnIyPv/8cwCvRi2KFSsmbSCZGDx4MARBwO7du3HhwgWp4xDZzKJFi6DX61G9enWUKVNG6jh2Q6FQoGSJ4ihZorhsPqixz8I56XQ6bNy4EYD8VoOSM3m8KsiUUqnEF198gePHj6N06dJ4+PAhWrVqhb59++L58+dSx3Mqv//+O65duwY/Pz98++23UseRjcKFC6NVq1YAXvVaEDkDo9GI+fPnA+BohSN4vc+C/WLOY9++fXjy5Al8fX1Rs2ZNqeM4DRYWNhAYGIjjx49j1KhREAQB8+fPR2BgICIiIqSO5hTu3LmDn3/+GQAwadIkeHp6SpwobfR6PVauXouVq9dCr9dLlsO09OyyZcvw5MkTyXIQ2cru3btx8+ZNeHt7o3379lLHsStGoxH/XriIfy9clM2H9EqVKiFLlix4/Pgxzpw5I3UcspHXp0EplUqJ0zgPFhY24urqikmTJmHfvn3Inz8/rl+/jlq1auGbb76BVquVOp5DGzVqFF6+fImaNWuic+fOUsdJM6PRiKvXruHqtWuSvoHXqVMHZcuWxcuXL7FgwQLJchDZiqlpu1u3blw57j/0ej3+2bAR/2zYKOkFj/RQq9WoXbs2AE6HchY6nc68saUcV4OSMxYWNlanTh2cOXMGn332GYxGI37++WdUr16d89etZN++fVizZg0UCgVmzpxp9w3b9kgQBPPSszNnzpTNhwmijIiJiTH3wnEalON4fToUOb7w8HA8fvwYPj4+5qJSjlQqFbp16YRuXTrJYrEEgIWFxSkUCgQUKYKAIkXe2djm5eWFZcuWYc2aNciePTuioqJQoUIF7hdgYTqdzvyBeMCAAQgMDJQ4kXx17twZOXLkwO3bt7F582ap4xBZzcKFC2EwGFCzZk2ULFlS6jhkIXXr1gUA7N+/nxdHnIBpU7w2bdrI5gP52ygUChQsUAAFCxSQzWIJ8kgpIyqVCp07tEPnDu0++Mfcrl07nD17Fo0aNUJycjKGDRuGxo0b4+7duzZK69hmzZqF8+fPI0eOHPjhhx+kjiNrbm5u5qu3XHqWHJXBYGDTtoMKDAxEtmzZ8OzZM5w8eVLqOGRFer0e69evB8BpUFJgYSGxPHnyYOfOnZg5cybc3NywZ88elClTBqtXr5Y6mqw9ePAA3333HQDgl19+Qfbs2SVOJH8DBgyAUqnEgQMHEB0dLXUcIosyGo1YuXIl7ty5g+zZs/MDiYNRKpWoU6cOAPZZOLoDBw4gPj4eOXLkMP83lyuDwYDjJ07i+ImT3Hmb0k4QBAwaNAhRUVGoVKkSnj59io4dO6JLly5chSeDxowZg8TERFSsWNG8yRtlTr58+cwftjhqQY4gPj4eq1atQvfu3ZEnTx5069YNANC9e3e4urpKnI4sjftZOAfTalCtW7eW9TQo4FVhsWN3KHbsDmVh4ay0Wi0mTJqCCZOmpHu1p+LFiyMiIgLjxo2DUqnEypUrUbZsWezdu9dKaR3TkSNHsHjxYgCvmo25zJzlmJaeXblyJXeSJ9kxGAyIjIzEd999h6pVqyJXrlzo3Lkzli1bhsePH2P8zxMw/ucJGD16tNRRyQpMhcWhQ4eQkpIicRqyBoPBYJ4GxU3xpMHCwgp0Oh10Ol2GnqtWqzF+/HgcOnQIAQEBuHv3Lho0aIDhw4cjKSnJwkkdj8FgwODBgwEAPXr0QLVq1SROlHEajQbjxo7GuLGjodFopI4DAKhWrRoqV64MrVZrXpKTyJ7FxMRg8eLF6NChA3x8fBAUFIQffvgBx44dgyiKKFu2LL788kts377d/Bxvb2/pAts5pVKJVi2aoVWLZrK7aFOiRAn4+voiOTkZR48elToOWcHBgwfx8OFDZM+e3dywT7bFwsJOVatWDdHR0ejfvz8A4I8//kClSpVw6tQpiZPZt0WLFuHkyZPImjUrfv31V6njOBxBEMyjFrNnz+YeLGR3tFotwsLC8NVXXyEwMBB58+ZFr169sGbNGjx58sS86d2iRYtw7949nD59Gr/99pusl6S0JaVSiXJly6Jc2bKyKywEQeB0KAdnmgb1ySefQK1WS5zGObGwsGMeHh6YM2cOtm7dCl9fX/z777+oWrUqJkyYIJu5drb05MkTjB07FgDw/fffw9fXV+JEjqldu3bw8/NDbGys+UWcSEo3btzA3Llz8fHHHyNHjhyoV68eJk6ciDNnzkAQBFSpUgXjxo1DREQE4uLisHr1avTs2RN58uSROjrZmOkqNgsLx/P6NCguviAdeXe1OInmzZvj7Nmz6NevHzZs2ICxY8di27ZtWLZsGQoXLix1PLsxbtw4xMfHo2TJkubpUHKm1+uxYfOrjbpat2ppN01oGo0GAwYMwLhx4zB9+nR06dJF6kjkZJKSkrB//37s3LkTO3fuxKVLl1L9PFeuXGjcuDGaNGmChg0bwsfHR6KkjsdoNOLq9esAgIDChWWztr6JacTiyJEjePHiBTw8PCRORJZy+PBhxMbGwtvbG/Xr15c6jtOS1yuCE/Px8cG6deuwePFieHp64vDhwwgMDMTChQshiqLU8SR3+vRpzJ49GwAwY8YMhxgCNRqNuHDxEi5cvGR3Gyf269cPGo0Gx44dw5EjR6SOQw5OFEVcvHgRf/zxB5o0aYLs2bOjadOmmDZtGi5dugSlUolatWrh559/xsmTJ3H//n0sW7YMnTt3ZlFhYXq9Hn+v+Qd/r/lHlhvNFS5cGPnz54dOp8Phw4eljkMWZNoU75NPPrGbvkRnxMJCRgRBQI8ePXD69GnUqlULz58/R0hICFq3bu3UK/SIooghQ4bAaDSiXbt25itSZD2m1XQALj1L1pGYmIiNGzeif//+KFSoEEqUKIHhw4dj165dSE5Ohr+/P/r06YN169bh0aNHOHDgAMaOHYsKFSrI7io62Q77LByT0WjEunXrADjWNCiVSoWO7duiY/u2djNr4UP46mthgiCgQH5/FMjvD0EQrHKOQoUKISwsDL/99hvUajU2bdqEMmXKYMuWLVY5n71btWoVDh48CDc3N0yePFnqOE5j6NChAF5dJbp3757EaUjuRFFEdHQ0fv31V9SpUwc5cuRA69at8eeff+LWrVvQaDRo2LAhpkyZgvPnz+PWrVuYN28e2rRpAy8vr0yfX6FQIKBIEQQUKcLCxMGxsHA8kZGRiImJgZeXFxo0aCB1HItRKBT4KCAAHwUEyOZ1SR7lj4yo1Wp072r9OedKpRJffvklGjdujK5du+LcuXNo1aoV+vTpg99//x1ZsmSxegZ78OzZM3zxxRcAgK+//hr58+eXOJHzKF++PGrVqoWDBw9i9uzZ+Pnnn6WORDLz+PFjhIaGmnslYmNjU/28aNGiaNKkCZo0aYLg4GCrzodXqVTo3IHr3jsDUwP3yZMnkZCQYJHClKRlWkikVatWcHFxkTiNc5NH+UPvFBgYiOPHj2PkyJEQBAHz589HYGAgIiIipI5mEz/99BNiYmJQuHBhjBw5Uuo4Tse09Oyff/7JfVbogwwGA44ePYrx48ejevXq8PHxQceOHbFkyRLExsbC3d0dLVq0wMyZM3H16lVcvnwZ06dPR7NmzdhkSxaTL18+fPTRRzAajThw4IDUcSiTjEajub/C0TbFMxgMiD5zBtFnzshmNVCOWDgAV1dXTJ48Gc2bN0f37t1x/fp11KpVC2PGjMG4ceMctonp0qVLmDp1KoBX+3y4urpKnMj5fPzxx8ifPz9u376NlStXonfv3lJHIjsTGxuLXbt2YefOndi9ezceP36c6uelS5c2j0rUrFmTVxvJJurWrYvLly9j3759aNmypdRxKBOOHj2Ke/fuwdPTEw0bNpQ6jkUZDAZs3vpq886SxYvLYu8YjlhYmFarxeSp0zB56jSbbx5Wt25dnDlzBp999hmMRiN+/vlnVK9eHRcuXLBpDlsQRRHDhg2DTqdDs2bN0KJFC6kjOSWVSmVe2nfatGlcoYyg0+mwf/9+jBkzBuXLl4efnx969OiBv//+G48fP4aXlxfatm2LBQsW4M6dOzh79iwmTZqE+vXrS1pUaLVaTJg0BRMmTeHGj06AfRaO4/VpULzAKD2OWFjBSwmnhHh7e2PZsmVo2bIl+vfvj6ioKFSoUAG//fYbBg8eLJvmnw/ZvHkzdu3aBY1Ggz/++MNqjfJSUqvVGD1qhPm2vQoJCcH333+Ps2fPIjw83Dx/mZzHrVu3sGvXLuzYsQN79+7Fs2fPUv28UqVK5lGJqlWr2u3qJjqdTuoIdk+pVKJpo4bm23JVp04dAMCZM2cQFxfHZYllShRF8zQoR1oNSs4c41MmvaFdu3Y4e/YsGjVqhOTkZAwbNgyNGzfG3bt3pY6WaUlJSRg+fDgAYOTIkShatKjEiaxDEARoNBpoNBq7LpyyZcuGbt26AQCmT58ucRqyheTkZOzevRsjRoxAyZIlUbBgQfTr1w8bN27Es2fPkDNnTnTp0gV//fUXHjx4gOPHj+PHH39EjRo17LaooLRRKpWoXKkiKleqKOvCIleuXChTpgwAIDw8XNowlGHHjh3DnTt3kCVLFjRu3FjqOAQWFg4tT5482LlzJ2bOnAk3Nzfs2bMHZcqUwerVq6WOlimTJk3CjRs3kDdvXowdO1bqOIT/LT27adMm3LhxQ+I0ZGmiKKZqpM6ePTsaN26MqVOn4sKFC1AoFKhRowZ+/PFHHD9+HA8ePMDy5cvRtWtX5MqVS+r4RG/F6VDyZxqtaNmyJdzc3CROQwALC4cnCAIGDRqEqKgoVKpUCU+fPkXHjh3RpUsXPHnyROp46Xbr1i1MmDABADB58mSHXlZXr9dj05at2LRlq93vcFuiRAk0atQIoihi5syZUschC3j+/Dk2b96MgQMHokiRIihWrBiGDRuGHTt2ICkpCXnz5kXv3r2xdu1axMfH49ChQ/jmm29QqVIlh5lySW8yGo24eesWbt66BaPRKHWcTDEVFmFhYRInoYwQRdHcX8FpUPaDr/5Oonjx4oiIiMC4ceOgVCqxcuVKlC1bFnv37pU6WrqMHDkSycnJCA4ORocOHaSOY1VGoxGnz57D6bPnZPEGbhq1WLhwIZ4/fy5xGkovURRx5swZTJw4EfXq1UP27Nnx8ccfY86cObhx4wbUajXq16+PSZMm4ezZs7hz5w4WLFiAtm3bIlu2bFLHJxvR6/VYtmIVlq1YZfcXPD6kdu3aUCgUuHTpEjf5lKGTJ0/i1q1b8PDwQNOmTaWOQ/+Pk12diFqtxvjx49G0aVN89tlnuHr1Kho0aIDPP/8cv/zyi90PI+7Zswfr1q2DUqnEjBkz7LrvwBk1bdoURYsWxZUrV7B06VIMGjRI6kj0AU+ePMGePXvMG9TFxMSk+nmhQoXQtGlTNG3aFHXq1HHoEUJyPt7e3qhQoQJOnDiBsLAwdO3aVepIlA6m0YrmzZvb/eeXjFKpVGjb+hPzbTngiIWFCYKAPH65kccvt91+8K1WrRqio6PRv39/AK/2gKhUqRJOnTolcbJ302q1GDJkCABg0KBB5qY7sh8KhcL832j69OmyGGVxNkajMVUjdc6cOdG+fXssWrQIMTExcHNzQ7NmzTB9+nRcvnwZ165dw6xZs9CiRQuHLyoEQUCB/P4okN/fbl+7yfLYZyFPr68G5Wib4r1OoVCgZIniKFmiuGymmAqigy08n5iYCC8vLyQkJCBr1qxSx7F727ZtQ+/evfHgwQPziMaXX35pd6t9TJkyBaNGjYKPjw8uX74Mb29vqSNZnVarxa+TfwcAjB41QhYbHT579gz58uVDYmIitm/fzuFpO5GcnIyvvvoKK1euRHx8fKqflSxZ0rwUbK1atbgOPL2XHF+X3mfXrl1o0qQJ8ufPj5s3b7KolImoqChUrFgRbm5uiIuLg4eHh9SRHFp6PlvLo/whq2nevDnOnj2L1q1bQ6fTYezYsQgODsb169eljmZ2//59jB8/HgAwYcIEpygq5MrT0xO9evUC8GrDPJLekydP0LRZM+Tw9cOQ4SORPUcOtGnTBvPmzcOtW7dw/vx5TJkyBQ0bNmRRQU6nZs2aUKlUuH37Nle0k5HXp0E5clFhNBrx74WL+PfCRdnMAmBhQfDx8cG6deuwePFieHp64vDhwwgMDMTChQvtYifl0aNH49mzZ6hcuTJ69uwpdRz6gCFDhkAQBOzatQsXL16UOo5Tu3XrFmrUqIHDhw6Z77t96zbWrVuHPn36IH/+/BKmI5Keh4cHqlWrBoCrQ8mFM22Kp9fr8c+Gjfhnw0bZLJbAwsLCdDodps2ajWmzZstqF1dBENCjRw+cPn0atWrVwvPnzxESEoLWrVvj4cOHkuWKiIjAsmXLAAAzZ86UzRxDZ1a4cGG0bNkSADBjxgyJ0ziv6OhoVK9eHRcuXECePHnM96vV8mgAtDWtVovJU6dh8tRp0Gq1UschG2KfhbycPn0aV69ehaurK5o3by51HPoPfkqzMFEUkZCQiISERLu42p9ehQoVQlhYGH777Teo1Wps2rQJZcqUwZYtW2yexWAwYPDgwQCA3r17o0qVKjbPICW1Wo2Rw4Zi5LChUKvVUsdJl2HDhgEAli5diqdPn0obxgnt3r0btWrVwv3791G6dGmEhYVLHUkWXiYl4WVSktQx7JpSqUSDenXRoF5du+vFy6i6desCeFVYyPF929mYRiuaNWvm8ItKyBELC3qDUqnEl19+iePHj6N06dJ4+PAhWrVqhb59+9p0f4L58+fj1KlT8PLywi+//GKz89oLQRDg4eEODw932TUU1q1bF6VLl8aLFy+wcOFCqeM4laVLl6J58+Z4/vw56tati0OHDiFv3jwffiJRGiiVSgRVq4qgalUdprCoVq0aXF1dERsby+mbdo6b4tk/Fhb0ToGBgTh+/DhGjhwJQRAwf/58BAYGIiIiwurnfvToEb7++msAwI8//ohcuXJZ/ZxkOYIgmDfMmzlzJgwGg8SJHJ8oivjpp5/Qo0cP6PV6dOnSBTt37oSXl5fU0YjsmqurK2rUqAGA06Hs3blz53D58mW4uLigRYsWUseht7BJYTFr1iwULFgQrq6uqFq1Ko4dO/bOxy5ZsgSCIKT64kol0nF1dcXkyZOxd+9e+Pv74/r166hVqxa++eYbq85D/uabb/D48WOUKVMGAwYMsNp57Jler8f2nbuxfedu2TRtva5Lly7Inj07bt68ic2bN0sdx6Hp9Xr069cP3377LYBXCx4sW7ZM9kuBkv0xGo24F3Mf92Luy2aVmrRgn4U8mEYrmjRpAk9PT4nT0NtYvbBYvXo1RowYge+++w5RUVEIDAxE48aN39sQnDVrVty/f9/8devWLWvHpA+oW7cuzpw5g88++wxGoxE///yzuTHU0k6dOoU///wTwKvmX7nsNmlpRqMRJ6KicCIqSpZv4O7u7ujbty8ALj1rTc+fP8fHH3+M+fPnQ6FQYNasWZgwYUKqhQ4UCgUCihRBQJEiXACBMkWv12PhkqVYuGSpLC94vIupsAgPD5fl662zcIZN8eTO6u8wv//+O/r06YOePXuiZMmSmDt3Ltzd3bFo0aJ3PkcQBOTOndv85evra+2YlAbe3t5YtmwZ1qxZg+zZsyMqKgoVKlSw6C7Loihi8ODBEEURHTt2RHBwsEWOS9IYOHAglEol9u/fj+joaKnjOJwHDx6gbt262L59O9zc3LB+/XoMHDjwjcepVCp07tAOnTu0c9pCneh9KlWqBE9PTzx+/BhnzpyROg69xfnz53HhwgVoNBqnmQalVCrRqkUztGrRTDY9TVYtLLRaLU6ePIkGDRr874QKBRo0aIDIyMh3Pu/58+coUKAA/P398fHHH+P8+fPWjGlRgiDAJ2dO+OTMKbuG27Rq164dzp49i0aNGiE5ORnDhg1D48aNcffu3Uwfe/ny5YiIiIC7uzsmTZpkgbQkJX9/f3z66acAgOnTp0ucxrFcvnwZ1atXx4kTJ5AzZ07s27cPH3/8sdSxZEsQBOTxy408frkd9rWb3k2lUqF27doAOB3KXpmmQTVu3NhpeseUSiXKlS2LcmXLsrAAgPj4eBgMhjdGHHx9fREbG/vW5xQrVgyLFi3Cpk2bsHz5chiNRgQFBb3zQ2tKSgoSExNTfUlJrVZjQN8QDOgbIrslQtMjT5482LlzJ2bOnAk3Nzfs2bMHZcqUwerVqzN8zMTERHz55ZcAgG+//Rb58uWzVFySkGnp2ZUrVyIuLk7iNI4hMjISQUFBuHHjBooUKYKIiAjzJl+UMWq1GiE9eyCkZw+Hfu2md3t92VmyP86yKZ7c2d1k2+rVq6Nbt24oV64cgoODsX79evj4+Jjn3P/XhAkT4OXlZf7y9/e3cWLnJQgCBg0ahKioKFSqVAlPnz5Fx44d0aVLFzx58iTdx/vhhx8QGxuLokWLYvjw4VZITFKoXr06KlWqhJSUFMybN0/qOLK3ceNG1KtXD48ePULlypURERGBokWLvvc5Wq0WEyZNwYRJU7j5G9E7mPos9u/fL6sNbp3BhQsXcP78eajVarRq1UrqODZjNBpx+epVXL56VTa9P1YtLHLmzAmlUokHDx6kuv/BgwfInTt3mo6hVqtRvnx5XL169a0/HzNmDBISEsxfd+7cyXRuSp/ixYsjIiIC48aNg1KpxMqVK1G2bFns3bs3zce4cOGCucH3jz/+gIuLi7Xiko0JgmAetZg9W1470tubWbNmoU2bNkhOTkaLFi0QFhaW5qWYdTodf/dE7xEYGIhs2bLh+fPnOHnypNRx6DWm0YpGjRrB29tb2jA2pNfr8feaf/D3mn9ks1iCVQsLjUaDihUrpvqAaTQasXfvXlSvXj1NxzAYDDh79iz8/Pze+nMXFxdkzZo11ZeUdDod5sxbgDnzFjjVm7harcb48eNx6NAhBAQE4O7du2jQoAGGDx+OpA/sZCuKIoYOHQq9Xo+WLVuiWbNmNkpNttK+fXvkzp0bMTEx5jcISjuj0YivvvrKvLBBv379sGHDBnh4eEgdzWHodDpMmzUb02ax+HVWCoWC06HsFDfFkw+rT4UaMWIE5s+fj6VLl+LChQsYMGAAXrx4gZ49ewIAunXrhjFjxpgf/8MPP2D37t24fv06oqKi0LVrV9y6dQshISHWjmoRoigiLj4ecfHxEEVR6jg2V61aNURHR6N///4AXo0+VKpUCadOnXrnczZs2IA9e/bAxcUFU6dOtVVUu6dWqzF0YH8MHdhf9nO+NRqN+W+CS8+mT0pKCrp27YqJEycCAH755RfMmTOHqztZmCiKSEhIREJColO+dqeVUqlE7Zo1ULtmDdk0k6YH97OwP5cuXcLZs2ehUqm4QIUMWL2w6NChAyZPnoxx48ahXLlyiI6Oxs6dO80N3bdv38b9+/fNj3/y5An69OmDEiVKoFmzZkhMTERERARKlixp7ahkIR4eHpgzZw62bt0KX19f/Pvvv6hatSp+/fXXN3ZgfvnyJUaMGAEA+OKLL1CkSBEpItslQRDg7e0Nb29vh1ilpn///tBoNDh69CiOHj0qdRxZePr0KZo0aYJVq1ZBpVJh2bJlGDNmjEP8PZA8KZVK1KldC3Vq13LowuLw4cNISUmROA0B/5sG1aBBA2TLlk3iNPQhNmneHjx4MG7duoWUlBQcPXoUVatWNf8sPDwcS5YsMX8/depU82NjY2Oxbds2lC9f3hYxycKaN2+Os2fPonXr1tDpdBgzZgyCg4Nx/fp182N+++033Lp1C/7+/qlGrsjx+Pr6omPHjgA4apEWd+7cQc2aNREeHg5PT09s374dn332mdSxiBxa8eLFkTt3biQnJ+PIkSNSxyFwUzy5sbtVocix+Pj4YN26dVi8eDE8PT1x+PBhBAYGYtGiRbh+/Tp+++03AK82UnR3d5c4rX0xGAwI3bsPoXv3vTHSI1emJu61a9fi3r17EqexX2fOnEG1atVw/vx55MmTBwcPHkTDhg2ljkUEURTxMC4OD+PiHHLKmCAI7LOwI1evXkV0dDSUSiWnQckECwuyOkEQ0KNHD5w+fRq1atXC8+fP0bt3b1SuXBkpKSmoV6+eeRM1+h+DwYDIo8cQefSYwxQWFSpUQM2aNaHX6zFnzhyp49ilvXv3ombNmoiJiUHJkiURGRmJwMDATB1TEAQUyO+PAvn9OY2KMkWn02Hu/IWYO3+hwza5s8/CfpiatuvXr48cOXJInIbSgoUF2UyhQoUQFhaG3377DWq1Go8fP4ZSqcT06dP5YceJmEYt/vzzTyQnJ0ucxr4sX74cTZo0wbNnzxAcHIxDhw4hf/78mT6uWq1G965d0L1rF9kvBEBkbabC4siRI3jx4oXEaZybs2+Kp1Qq0bRRQzRt1FA2PU1cVsTCBEGAl1dW821KTalU4ssvv0T9+vWxbVcoAHxwcy9yLJ988gny58+P27dvY9WqVeYV4pyZKIr49ddfMXbsWABAx44dsWTJEu7nYkOCIMAnZ07zbXJehQoVQoECBXDr1i0cOnQIjRs3ljqSUzKtDqpUKtG6dWup40hCqVSicqWKUsdIF45YWJharcawQQMxbNBAXhl8jzJlykgdgSSiUqkwaNAgAK+auB1xnnZ66PV6DBw40FxUfPHFF1ixYgWLChtTq9UY0DcEA/qG8LXbyQmCwOlQdsA0WlG3bl3k/P+in+wfCwsisrmQkBC4ubnh9OnTOHDggNRxJPPixQu0adMGc+fOhSAImD59OiZOnAiFwrIvzVqtFpOnTsPkqdOg1WotemwiR2QqLMLCwiRO4ry4Kd6rzVFv3rqFm7duwWg0Sh0nTVhYEJHNZc+e3bx0qrMuPfvw4UPUq1cPW7ZsgaurK9atW4chQ4ZY7Xwvk5LwMinJascnciSmlaFOnjyJp0+fShvGCd28eRMnTpyAQqFw2mlQwKsR7WUrVmHZilXQ6/VSx0kTFhYWptPpsGDxEixYvMRhV8wgsoShQ4cCADZt2oSbN29KG8bGrl69iqCgIBw7dgzZs2fH3r17nfrN0x7odDrMmbcAc+Yt4Gs3IW/evPjoo49gNBqdelRVKqZpUMHBwciVK5fEaSg9WFhYmCiKiLkfi5j7sU4/d5wyR61Wo3+f3ujfp7dDzvkuVaoUGjRoAKPRiJkzZ0odx2aOHj2K6tWr49q1ayhYsCAiIiIQFBQkdSynJ4oi4uLjERcfz9fu91AqlahetQqqV60im1VqMop9FtLhpnjyxcKCyE4JgoBcPj7I5ePjsKvUmJaeXbBgAZ4/fy5xGuvbvHkz6tati/j4eFSsWBGRkZEoVqyY1LGI0kypVKJh/XpoWL8eCwuyitu3b+Po0aMQBIEjuTLEwoIkoVAoEFCkCAKKFLF4oyrJR7NmzRAQEICEhAQsW7ZM6jhWNWfOHLRu3RpJSUlo2rQpwsPDkTt3bqljEdE71KlTBwBw9uxZxMXFSRvGiZhGK2rXrs3XSBniJzqShEqlQucO7dC5QzuoVNxO5W0MBgPCDxxE+IGDDrPz9n8pFApzw/L06dNls+pFehiNRowZMwYDBw6E0WhESEgINm/ejCxZskgdjSjdRFHE06dP8fTpU4efMubj44OyZcsCAMLDw6UN40ScfVM8uWNhQWSnDAYDDhw6jAOHDjtsYQEAPXr0gKenJy5duoTQ0FCp41iUVqtFt27d8OuvvwIAfvjhB8ybN8/mxbQgCMjjlxt5/HI77LQ6sg2dTofps+di+uy5TtHkzulQtnXnzh1ERkZCEAR8+umnUsehDGBhQUSSypo1K3r16gXAsZaeTUhIQLNmzbBixQqoVCosXrwY3377rSQf7NVqNUJ69kBIzx4OuRAAkbWYlp1lYWEb69evBwDUrFkTfn5+EqeRnlKpRIN6ddGgXl3Z9DSxsLACdzc3uLu5SR3Drmm1WkyYNAUTJk3hhl2EwYMHQxAE7NixA5cuXZI6TqbdvXsXtWrVwt69e5ElSxZs3boVPXr0kDoWvYcgCPDyygovr6wc1SGz2rVrQ6FQ4PLly7h7967UcRweN8VLTalUIqhaVQRVq8rCwllpNBqMGj4Mo4YPg0ajkTqOXdPpdE4xlE4fFhAQgObNmwMAZsyYIXGazDl37hyqV6+Os2fPInfu3Dhw4AAaN24sdSz6ALVajWGDBmLYoIEc1SEzb29vVKxYEQB34ba2e/fu4fDhwwDAaVAyxsKCiOyCaenZJUuWyHan27CwMNSsWRN3795F8eLFERkZifLly0sdCzqdDtNmzca0WbNZzBOlE/ssbMM0DSooKAh58+aVOI19MBqNuBdzH/di7stmcRMWFkRkF+rXr49SpUrhxYsXWLRokdRx0m3lypVo3LgxEhISULNmTRw+fBgFCxaUOhaAVyv5JCQkIiEh0eFX8iGytNcLC/7/Yz3cFO9Ner0eC5csxcIlS6HX66WOkyYsLCxMp9Nh6fIVWLp8Ba8MEqWDIAgYOnQogFfToeSyEpYoipg4cSK6dOkCnU6Htm3bIjQ0FNmzZ5c6GqWDTqfDgsVLsGDxEr52Uyo1atSAWq3G7du3cePGDanjOKT79+/j4MGDADgNSu5YWFiYKIq4dfsObt2+wysblCkqlQq9e3RH7x7dnWavj65duyJ79uy4efMmtmzZInWcDzIYDBgyZAi++uorAMDw4cOxevVquLq6SpyM0ksURcTcj0XM/Vi+dr+HQqFApQoVUKlCBafZ3NTDwwPVqlUDwOlQ1rJ+/XqIoohq1arB399f6jiUCc7xqkAkQwqFAnnz+CFvHj+neQN3d3dHnz59ANj/0rMvX77Ep59+ilmzZkEQBPz+++/4/fffnea/FTknlUqFZk0aoVmTRk5zwQPgsrPWxk3xHAffAUkSgiCgQH5/FMjvz6UdKZVBgwZBqVQiPDwcZ86ckTrOW8XHx6N+/frYtGkTXFxcsHr1agwfPlzqWERkJeyzsJ4HDx7gwIEDAFhYOAIWFiQJtVqN7l27oHvXLlza8R0MBgMijhxFxJGjsuk3sAR/f3+0adMGADB9+nSJ07zp2rVrCAoKwpEjR5AtWzaEhoay2ZCchiiKePHiJV68eOlUH7CrVasGV1dXPHjwABcuXJA6jkPZsGEDjEYjKleujAIFCkgdhzKJhQWRnTIYDNizLwx79oU5VWEB/G/p2RUrViA+Pl7iNP9z/PhxBAUF4cqVKyhQoAAOHz6MWrVqSR3rgwRBgE/OnPDJmZMjhJQpOp0OU6ZNx5Rp052qyd3FxQU1a9YEwOlQlmbaFI8XaBwDCwsisjtBQUGoUKECkpOTMW/ePKnjAAC2bduGOnXq4OHDhyhfvjwiIyNRokQJqWOliVqtxoC+IRjQN4QjhEQZxP0sLC8uLg7h4eEAOA3qbZRKJWrXrIHaNWtw521nplar+eb9AVqtFpOnTsPkqdOg1WqljkN2RhAE86jF7NnSb+o2b948tGrVCi9fvkTjxo2xf/9++Pn5SZqJLM/dzQ3ubm5SxyA7ZSoswsPDZbNZmb0zTYOqWLEiChUqJHUcu6NUKlGndi3UqV2LhYWz0mg0GPPFSIz5YiQ0Go3Ucezay6QkvExKkjoG2akOHTrA19cX9+7dw7p16yTJIIoivv32W/Tr1w9GoxE9e/bEli1b4OnpKUkesh6NRoNRw4dh1PBhfO2mt6pYsSI8PT3x5MkTnD59Wuo4DoGb4jkeFhZEZJdcXFzQv39/ANIsPavVatGjRw/89NNPAIDvvvsOCxculOVopE6nw5x5CzBn3gLJR3+I5EqlUqF27doAOB3KEuLj482/R06DejtRFPEwLg4P4+Jks1gCCwsislv9+/eHWq3GkSNHcOzYMZudNzExES1atMCyZcugVCqxYMECfP/997JtfBZFEXHx8YiLj5fNmxORPWKfhWUcPXoUHTp0gMFgQPny5VGkSBGpI9klnU6HufMXYu78hbK5KMTCwsL0ej1Wrl6LlavXQq/XSx2HSNZy586Njh07ArDdqEVMTAxq166N0NBQeHh4YMuWLejdu7dNzk3S0el0WLp8BZYuXyGbN3CyPVNhceDAAf6dZMDRo0fRrFkzVKtWDQcPHsT4nyfgk7bt2WvpQFhYWJjRaMTVa9dw9do1NndRpqhUKnTr0gndunRyqh1u/8vUxL1mzRrExMRY9Vznz59HtWrVcPr0afj6+mL//v1o2rSpVc9J9kEURdy6fQe3bt/hqM57KBQKBJYpjcAypZ1yl/myZcsie/bseP78OU6cOCF1HNl4vaDYsWMHlEolunbtKnUssgLne1UgkgmFQoGCBQqgYIECTvkGblKxYkXUqFEDer0ec+fOtdp59u/fj5o1a+LOnTsoVqwYIiMjUbFiRaudj0iOVCoVPm7ZAh+3bOGUFzwUCgXq1q0LgNOh0uLIkSNo2rRpqoKiZ8+euHTpklVfz0k6zvtphSQlCALy+OVGHr/csp23TrZjGrWYO3cukpOTLX781atXo1GjRnj69CmCgoJw+PBhLn1IRG9lmg4VFhYmcRL7ZSooqlevjp07d6YqKBYtWsSeCgfGwoIkoVarEdKzB0J69pDlKju2YDAYcPzESRw/cdLpdt7+r08++QT58uVDXFwc/v77b4sdVxRF/P777+jYsSO0Wi1at26NPXv2IEeOHBY7B5EjEUURWq0WWq3WaaeMmQqLw4cPW+VCh5yxoCAWFkR2ymAwYMfuUOzYHer0hYVarcagQYMAvGritsQHGoPBgOHDh2PkyJEAgCFDhmDt2rVwc8AN0gRBgJdXVnh5ZeUIIWWKTqfDr5N/x6+Tf3fa5uVixYohd+7cSE5OxpEjR6SOYxdYUJAJCwsikoU+ffrAzc0N0dHROHjwYKaOlZSUhA4dOphXmpo8eTKmTZsmm51N00utVmPYoIEYNmggRwiJMkkQBC47+/8iIyPRpEmTVAVFr169WFBYiFKpRPWqVVC9ahXZvD+xsCBJ6HQ6TJs1G9NmzXbaq16UPjly5DCvIpKZpWcfPXqEhg0bYt26ddBoNFi1ahVGjhzJK/kEtVrNwovSxNkLC1NBERQUhF27dpkLisuXL2PhwoVpKigUCgUCihRBQJEiTr1AyfsolUo0rF8PDevXk01h4XxLOliZRqPBuLGjpY5h90RRREJCovk2UVoMHToU8+fPx8aNG3Hz5k0ULFgwXc+/ceMGmjZtikuXLsHb2xsbN25EcHCwdcKSrGg0Goz5YqTUMUgmTIXF0aNH8fz5c2TJkkXiRLYRGRmJ8ePHY9euXQBeffDt3r07vv76axQuXDhdx1KpVOjcoZ01YpKEWCISkWyULl0a9evXh9FoxKxZs9L13JMnT6J69eq4dOkS/P39cejQIacpKnQ6HRYsXoIFi5dwhJDIAgoVKoSCBQtCr9fj8OHDUsexusjISDRu3PidIxTpLSoobURRxNOnT/H06VPZXIRlYUFEsmJaenbBggV48eJFmp6zY8cOBAcH48GDBwgMDMSRI0dQqlQpa8a0K6IoIuZ+LGLux8rmzYnI3jnDdKjXC4rdu3dDqVSid+/eLChsRKfTYfrsuZg+e65sLgqxsLAwvV6Ptes3YO36DdDr9VLHIXI4zZs3R5EiRfD06VP89ddfH3z8woUL0bJlS7x48QINGjTAgQMHkCdPHhskJTnR6/VYuXotVq5ey9duShNH3igvIiIiVUGhUqnMBcWCBQssUlBotVpMmDQFEyZNgVartUBqsgcsLCzMaDTiwsVLuHDxEoxGo9RxSMZUKhU6tm+Lju3bOuUOt++iUCgwZMgQAMD06dPfeQVeFEV89913CAkJgcFgQLdu3bBt2zZkzZrVlnFJJoxGI65eu4ar167xtfs9FAoFShQvhhLFizl9w62psIiKisKTJ08kTmMZpoKiRo0aqQqKS5cuWaygeJ1Op5PNlXhKG+d+VSCyYwqFAh8FBOCjgACnfwP/rx49eiBLliy4cOECQkND3/i5TqdD79698cMPPwAAvv76ayxZsgQajcbWUYkcikqlQrs2rdGuTWunv+CRN29eFCtWDEajEQcOHJA6TqZERESgUaNGqQqKkJAQi45QkHPgpxWShCAI8MmZEz45c3KZT0o3Ly8v9OzZE8CbS88+e/YMLVu2xOLFi6FQKDB37lz89NNP/DsjIouTe5/F6wVFaGhoqoJi/vz5KFSokNQRSWZYWJAk1Go1BvQNwYC+IVw3/h0MBgOiz5xB9JkzTr/z9tsMGTIEgiBg+/btuHz5MgDg/v37CA4Oxq5du+Du7o5NmzahX79+EiclIkcl18Li8OHDLCjIKlhYENkpg8GAzVu3Y/PW7Sws3qJo0aJo1qwZAGDGjBm4cOECqlevjlOnTsHHxwdhYWFo0aKFxCnth7ubG9zd3KSOQTKn1Wrxwy+/4odffmXDLYA6deoAAM6dO4eHDx9KGyYNTAVFzZo1WVCQVbCwICLZMi09u3jxYtSoUQO3bt1CQEAAIiMjUaVKFYnT2Q+NRoNRw4dh1PBh7DMhsqCcOXMiMDAQABAeHi5tmPc4fPgwGjZsmKqg6NOnD65cucKCwo4pFApUqlABlSpUkE2vpTxSksPR6XSYM28B5sxbwBUhKMMaNGiAkiVL4sWLF3jy5AmqVauGiIgIFClSROpoROQk7HnZ2UOHDpkLij179qQqKObNm4eCBQtKlk0QBBTI748C+f3ZA/cOKpUKzZo0QrMmjWSzWII8UsqIWq3G6FEjzLfp7URRRFx8vPk2UUYIgoDRo0fjxp17AIChgwbA28tL4lQkRxqNBuPGjpY6BslQvXr18Mcff9hVYXHo0CGMHz8ee/bsAfDqA2rPnj0xduxYSYuJ16nVanTv2kXqGGRhHLGwMEEQoNFooNFoWIET2UCHDh3Mt9lD8HY6nQ5Ll6/A0uUrOEJIZGG1a9eGQqHAlStXcOfOHUmzHDp0CA0aNECtWrXsboSC0k8URbx48RIvXryUzUVYFhZERA5OFEXcun0Ht27fkc2bE5FceHl5oVKlSgCAsLAwSTK8XlDs3bsXKpUKffv2ZUEhczqdDlOmTceUadNlc1GIhYWF6fV6bNqyFZu2bIVer5c6DhERpYFer8fa9Ruwdv0GvnZTukm17OzBgwffWVD8+eefdl1QaLVaTJ46DZOnTuMKYw6EhYWFGY1GnD57DqfPnoPRaJQ6DsmYSqVC29afoG3rT2TTtEUkV0ajERcuXsKFi5f42v0eCoUCAUWKIKBIEdmsUmMLpsIiLCzMJqOCpoKidu3aqQqKq1ev2n1B8bqXSUl4mZQkdQyyIH5aIbJTCoUCJUsUlzoGEZGZSqVC5w7tpI5hd2rUqAG1Wo3bt2/j+vXrVluZ7uDBg/j+++/NIyNqtRq9evXCmDFjUKBAAauckyg9eLmBJCEIAry8ssLLKyub3ImISNbc3d1RrVo1ANaZDnXw4EHUr18ftWvXxr59+6BWq9GvXz9cuXIFc+fOZVFBdoMjFiQJtVqNYYMGSh3DrhmNRly8dBkAULzYR5x28A6mqRmm20REUqhXrx4OHjyIffv2oU+fPhY55oEDBzB+/HiOUJBs8F2YyE7p9Xr8s2Ej/tmwkc2k72GamtG5Qzv2oryHWq3m3jqUaVqtFhMmTcGESVPYcPsfrzdwZ7bP4sCBA6hXrx6Cg4M5QkGywndhIiIHp9FoMOaLkVLHIAchl2Uvba1q1apwc3PDw4cP8e+//6JUqVLpPsaBAwfw/fffm5etVavV6N27N8aMGYP8+fNbOjLZOYVCgcAypc235YCFBUnCtGEXAHTv2oVXUomISNZcXFxQs2ZNhIaGYt++fekqLPbv34/x48c7VUEhCALy+OU236Y3qVQqfNyyhdQx0oWFhYWp1WqMHDbUfJveThRFxNyPNd8myiitVosp02YAAEYOGwKNRiNxIpIjtVqN0aNGmG8TZUS9evUQGhqKsLAwDBky5IOPd8aCwkStViOkZw+pY5CFsbCwMEEQ4OHhLnUMIqfCqRnvp9frsWbdBgBA+09bsxflLQRBYFFKmWbqswgPD4fBYIBSqXzr4/bv34/vv/8e4eHhAJyroKC0E0XR/P6mVqtlMbLDdxciIgdnNBpx9do1820iso4KFSrA09MTT548wenTp1GhQoVUP39bQRESEoLRo0ezoKA36HQ6/Dr5dwDA6FEjZHHxQx6dIDKi1+uxfedubN+5myv5EBHJhF6vx6YtW7Fpy1a+dlOGqVQqBAcHA0i9n0V4eDjq1q2LOnXqIDw8HGq1GgMGDMDVq1cxe/ZspywqdDodps2ajWmzZnPU2YFwxMLCjEYjTkRFAQAa1KsjbRiSNaVSiVYtmplvE5H1GI1GnD57DgDQtHEjidPYL0EQUCC/v/k2valevXrYunUr9u3bh0qVKmH8+PFvjFCMGTMG/v7+0gaVmCiKSEhINN8mx8DCgshOKZVKlCtbVuoYRERmarUa3bt2kTqGXTP1WezYsQM7duwA8GrJZ9OUJ2cvKMixsbAgybi7uUkdgYiIyKLKlCkDHx8fxMXFsaAgp8PCgiSh0WgwavgwqWPYNaPRiKvXrwMAAgoXls3mOLbGqRlEZE/0ej0Gf/5q6eKuHTugcOFCEicish0WFkR2Sq/X4+81/wCQz2oQUuDUDCLb0Wq1mD5rDgBg6KABfF36gHz58kodgcimWFgQETk4jUaDcWNHSx2DHMTLpCSpIxA5BYVCgRLFi5lvywELC5KETqfDytVrAACdO7TnTrdERERORBAE+OTMab5Nb1KpVGjXprXUMdKFhYWFqdVqDB3Y33yb3k4URdy6fcd8myijODWDLEGtVmPksKHm20RkXWq1GgP6hkgdgyyMhYWFCYIAb29vqWMQORVOzXg/vV6PDZu3AABat2oJlYov/f8lCAI8PNyljkFEJGs2mbA1a9YsFCxYEK6urqhatSqOHTv23sevXbsWxYsXh6urK8qUKYPt27fbIiYRkUMyGo24cPESLly8BKPRKHUcIiJKA61Wix9++RU//PIrtFqt1HHSxOqFxerVqzFixAh89913iIqKQmBgIBo3boyHDx++9fERERHo1KkTevfujVOnTuGTTz7BJ598gnPnzlk7qkUYDAaE7t2H0L37YDAYpI5DRERpoNfrsX3nbmzfuRt6vV7qOCRjCoUCAUWKIKBIEdk03EpBp9NhzrwFmDNvAXQ6ndRxyEKs/hf/+++/o0+fPujZsydKliyJuXPnwt3dHYsWLXrr46dNm4YmTZrgiy++QIkSJfDjjz+iQoUKmDlzprWjWoTBYEDk0WOIPHqMhQVlilKpRNNGDdG0UUMolUqp4xA5NKPRiBNRUTgRFcVRnfcQBAF5/HIjj19uNty+g0qlQucO7dC5QztOO3wPURQRFx+PuPh49lo6EKv+xWu1Wpw8eRJjxowx36dQKNCgQQNERka+9TmRkZEYMWJEqvsaN26MjRs3vvXxKSkpSElJMX+fmJiY+eBEdkCpVKJypYpSxyAiMlOr1Qjp2UPqGERkp6w6YhEfHw+DwQBfX99U9/v6+iI2Nvatz4mNjU3X4ydMmAAvLy/zl7+/v2XCk9Wp1WquvkJERETkIGQ/RjdmzJhUIxyJiYksLmRAo9FgzBcjpY5h14xGI27febUkb35/f87VfQfT1AzTbSIiKWm1WkyZNgMAMHLYEC6BTU7FqoVFzpw5oVQq8eDBg1T3P3jwALlz537rc3Lnzp2ux7u4uMDFxcUygS3sxMmTCKpeXeoYJFN6vR7LVqwCAIweNYJvTu/AqRlEtqPT6TB73nwAwMC+fTjq/A5sRiZnZdVLoBqNBhUrVsTevXvN9xmNRuzduxfV3/GBu3r16qkeDwChoaHvfLy90Wg0OHvqJL77egx27tghdRwiIqjVaoweNQKjR43gB0HKFFEUkZCQiISERDbcElmZHFcYs3rKESNGYP78+Vi6dCkuXLiAAQMG4MWLF+jZsycAoFu3bqmau4cNG4adO3diypQpuHjxIr7//nucOHECgwcPtnZUi2nevDkAYNu2bRInsV96vR4rV6/FytVrubQjkZUJggCNRgONRsPpYkRkFwRBgJdXVnh5ZeXr0jvIcYUxq6fs0KED4uLiMG7cOMTGxqJcuXLYuXOnuUH79u3bqaqwoKAgrFy5Et988w3Gjh2LokWLYuPGjShdurS1o1pM06ZNAQBRUVG4f/8+/Pz8JE5kf4xGI65eu2a+TZRRnJpBlqBWqzF0YH/zbSKyLrVajWGDBkodgyzMJuXP4MGD3zniEB4e/sZ97dq1Q7t27aycynp8fX1RuXJlHD9+HNu3b0fv3r2ljkTksExTM0y36U16vR7bduwEADRv2kQ2V75sSRAEeHt7Sx2DiEjW5DFhS4Y4HYqI7IXRaMTps+dw+uw5jhASEcmEVqvFhElTMGHSFGi1WqnjpAkLCysxFRahoaGpNvAjIiL7YzAYELp3H0L37oPBYJA6DsmYIAgokN8fBfL7s3fgPXQ6HRYsXoIFi5dwFa330Ol0svr9cDzcSipUqABfX188ePAABw8eRIMGDaSORDKjVCrRoF5d820ish6DwYDIo8cAAMG1avL/uXcQBAE+OXOab9Ob1Go1unftInUMuyeKImLux5pvk2NgYWElCoUCzZo1w+LFi7Ft2zYWFpRuSqUSQdWqSh2DiMhMrVZjQN8QqWMQkZ3iVCgrYp8FERERETkLjlhYUcOGDaFWq3HlyhVcuXIFRYsWlTqS3dBoNBg3drTUMeya0WjE/dhXu9D75faVzeY4tsapGURkT7RaLabPmgMAGDpoADQajcSJiGyHn1SsKGvWrKhVqxYAYPv27RKnIbnR6/VYuGQpFi5Zyk0E38M0NWNA3xDuP0BkZTqdDnPmLcCceQtk1VBqay+TkvAyKUnqGEQ2x8LCypo1awaA06GISDpqtRojhw3FyGFDWXxRpoiiiLj4eMTFx7PhlsjK5LjCGAsLKzP1Wezfvx/Pnz+XOI390Ov1WLt+A9au38Cr8URWJggCPDzc4eHhLps3JyJyfO5ubnB3c5M6ht0yrTDWvWsX2VwUYo+FlRUrVgyFCxfG9evXsWfPHnzyySdSR7ILRqMRFy5eAgB83KK5xGlIzl6thb4UABDSs7tsXnzJvqjVavTv09t8m4isS6PRYNTwYVLHIAvjiIWVCYLA1aGIrIhTMz5Mr9dj+87d2L5zN0cI30EQBOTy8UEuHx+O6hARZRALCxswFRbbt2/nBx8isjmj0YgTUVE4ERUFo9EodRwiIkoDrVaLyVOnYfLUadBqtVLHSRNOhbKB4OBguLu7IyYmBtHR0ShfvrzUkYiI6DUGgwEHD0cAAGrVCOLO25RhgiAgj19u8216O51Oh5Wr1wAAOndozymI7yC31cVYWNiAq6srGjRogM2bN2Pbtm0sLChNlEolatesYb5NRNZjMBhw4NBhAEBQtar8f+4dBEGAl1dW8216k1qtRkjPHlLHsHuiKOLW7Tvm2+QYOBXKRthnQemlVCpRp3Yt1Kldix9yiMguqNVqDBs0EMMGDeQVZiJ6AwsLGzHtZ3H06FHExcVJnIbk4smTJ7h27ZrUMYiIiIg+iIWFjeTLlw+BgYEQRRG7du2SOo7k1Go1Ro8agdGjRvCq1zuIooi27dqhZs1a/Jt5D9PUDC+vrJyaQUSS0+l0mDZrNqbNms3dycnpsLCwIU6H+h9BEKDRaKDRaPhh8B0uXbqEfXv3Ijb2Pnr06MGRrnfg1Awi23m1b8wSLFi8hB+a30EURSQkJCIhIZG9A+R0WFjYkGk61M6dO7mWPH3Qhg0bzLdjY2PRq1cvvklRhqjVagwd2B9DB/Zn8UWZIooiYu7HIuZ+LF+PiKzMtMJYHr/csrkIy8LChqpVq4bs2bPj6dOniIyMlDqOpPR6PTZt2YpNW7ayyHoHU2ExaNAguLi4YOvWrZg9e7bEqUiOBEGAt7c3vL29ZfPmRESOT61W82LHe5hWGAvp2UM2vycWFjakVCrRpEkTAJwOZTQacfrsOZw+e44bdr3FnTt3cPz4cQiCgG+//Ra//fYbAGDkyJE4d+6cxOnsC6dmkCWoVCr07tEdvXt0h0rFldiJrE2j0WDMFyMx5ouR0Gg0UschC2FhYWPss6C02LhxIwCgRo0a8PX1xdChQ9G0aVOkpKSgU6dOSJLZhjnWxKkZH2YwGLB0+QosX7kKBoNB6jh2SaFQIG8eP+TN4weFgm+NREQZwVdPG2vSpAkUCgXOnTuH27dvSx2H7NT69esBAG3atAHwairL4sWLkStXLpw7dw5fffWVlPFIZvbu3Ytbt+/g+s1bePb8udRxiIgoDeS4whgLCxvLnj07qlevDoCjFvR28fHxOHDgAACgdevW5vt9fX2xZMkSAMCMGTP490NpEhMTg88++wzffT0G3309BufOnpU6kl0yGAyIOHIUEUeOclSHMkUQBPjkzAmfnDnZ0/Qeer0eK1evxcrVa9lr+Q5yXGGMhYUEOB2K3mfz5s0wGo0oX748ChYsmOpnTZs2xbBhwwAAPXv2RGxsrAQJSS70ej06duyIhw8fmu9z9oUj3sVgMGDPvjDs2RfGwuI9UrRaGI0GCILA39M7qNVqDOgbggF9Q2TTcCsFo9GIq9eu4eq1a+y1dCAsLCRgKiz27dvHufL0BtNqUK+PVrzu119/RdmyZREXF4fu3bvzBZne6euvv8bBgwfh6emJPn36AACOHDkicSqSs107d2L8t99g3NjRqFGjBo4dOyZ1JCKyIywsJFCmTBnky5cPSUlJCAsLkzoO2ZFnz55h9+7dAP7XX/Ffrq6uWLVqFVxdXbF7925MmzbNlhFJJjZv3oyJEycCABYtWoTPPvsMwKsRC7kMqZP9iYiIMN8+deoUqlWrhv79++PJkycSpiIie8HCQgKCIJhHLbZv3y5xGmmo1WqMHDYUI4cN5VDxa7Zv3w6tVouiRYuiZMmS73xcyZIl8fvvvwMARo8ejejoaBsltE/ubm5wd3OTOobduHnzJrp37w4AGDp0KNq2bYuKFStCpVLh/v37uHPnjsQJSa5MU+kmT56M7t27QxRF/PnnnyhWrBiWLl3KohWvGm7nzFuAOfMWyKbhlshSWFhI5PU+C2d8IRYEAR4e7vDwcGdz22tM06DatGnzwd9L//790apVK2i1WnTq1AkvX760RUS7o9FoMGr4MIwaPoxroQNISUlBu3bt8PTpU1StWhWTJk0CALi7uyMwMBAA+ywoY1JSUhAVFQUA+Pjjj7FkyRLs378fJUuWRFxcHHr06IHg4GCcP39e4qTSEkURcfHxiIuPd8r3d3JuLCwkUq9ePbi4uODmzZu4cOGC1HHIDiQnJ5sb+t/VX/E6QRCwcOFC+Pn54eLFixgxYoS1I5IMjBw5EidOnED27NmxZs2aVMVWtWrVALDPgjImKioKWq0WOXPmRJEiRQAAtWvXRnR0NH777Te4u7vj4MGDKFeuHL788ks859LGRJkixxXGWFhIxMPDA3Xq1AHgnKtD6fV6bN+5G9t37uYyc/9v7969eP78OfLmzYvKlSun6Tk5c+bEsmXLAAB//vmneWM9ck6rV6/GrFmzAAB//fUX8ufPn+rnpqWuOWJBGWH6u6levXqqDzlqtRpffvklLly4gNatW0Ov12PSpEkoWbIkNmzYwKv2RBkkxxXGWFhIyJmXnTUajTgRFYUTUVFc1ej/mTbFa926dbp2/m3QoAG++OILAEDv3r1x7949q+SzVzqdDkuXr8DS5Sucej7zpUuXEBISAgAYM2YMmjVr9sZjTCMWp06dQkpKik3z2TuVSoVuXTqhW5dOUKlUUsexS68XFm+TP39+rF+/Hlu2bEHBggVx584dtGnTBi1atMD169dtGZVkQKPRYNzY0Rg3djSnsb5HdHQ0Xrx4IXWMNGNhISFTYXHo0CE8ffpU2jAkKb1ej82bNwNI2zSo//rpp59QoUIFPH78GN26dXOqYk0URdy6fQe3bt9x2iujL1++RNu2bfH8+XMEBwfjhx9+eOvjChcuDB8fH2i1WvNceXpFoVCgYIECKFigQLoKe2fyocLCpEWLFjh//jy+/vprqNVqbN++HaVKlcJPP/3EgpYoHZ4+fYqmTZuiVKlSuHjxotRx0oSvnhIqXLgwihcvDoPBYF5ilJzToUOHEB8fj+zZs6N27drpfr5Go8HKlSvh7u6Offv2YfLkyVZISfZq0KBBOHfuHHx9fbFq1ap3XnEXBIF9FpQhd+7cwb1796BUKtM0VdPd3R0//fQTzp49i3r16iE5ORnffvstypYtiz179tggMZH8jRkzBrGxsXBxcXljw1x7xcJCYs48HYr+x7QaVKtWrTI8DaNYsWKYPn06gFcbo504ccJi+ch+LVq0CEuWLIFCocDff/8NPz+/9z6efRZvZzAYcPzESRw/cZI7Sr+F6e+lbNmy8PDwSPPzihUrhj179mDlypXInTs3Ll++jIYNG6JTp064f/++teJKShAEeHllhZdXVtk03EpBr9dj7foNWLt+A3st3+Lw4cOYO3cuAGDevHlwdXWVOFHasLCQmKmw2LFjh1NNX6H/EUXR3F/xrk3x0qpXr1749NNPodfr0blzZ67K4uBOnz6NQYMGAQB+/PFH84IQ78MRi7czGAzYsTsUO3aHsrB4i7ROg3obQRDQqVMnXLx4EUOHDjUXwaaLIY72oVKtVmPYoIEYNmigbBpupWA0GnHh4iVcuHiJn3/+Q6vVom/fvgBeva8HBwdLnCjtWFhIrGbNmsiaNSvi4uJw/PhxqeOQBE6cOIG7d+/Cw8MDDRs2zNSxBEHAvHnzkC9fPly5cgXDhg2zUEqyN4mJiWjXrh2Sk5PRtGlTjB49Ok3Pq1y5MhQKhXlqC1FaZKawMPHy8sK0adNw/PhxVKlSBc+ePcOwYcNQuXJlFrpEr5k0aRL+/fdf+Pj4mPcikgsWFhJTq9Vo1KgRAE6HclamaVDNmjWzyFBn9uzZsXz5cgiCgEWLFmHt2rWZPibZF1EUERISgitXrsDf3x9//fVXmhuOs2TJgjJlygDgqAWlTXJysrnZPzOFhUmFChUQGRmJP//8E9myZUN0dDSCgoLQr18/PH78ONPHJ5Kzy5cv48cffwQA/PHHH8iePbvEidKHhYUdME2H2r59u8RJbEetVmPowP4YOrC/0w8Vv77MrKUEBwdjzJgxAIC+ffvi9u3bFju2PVKr1U71dzRz5kysXbsWarUaa9asQY4cOdL1fNOHQxYWlBanTp2CTqeDj48PChcubJFjKhQK9O3bFxcvXkSPHj0giiLmzZuHYsWKYfHixbKeGqPT6bBg8RIsWLzEqZfApvQTRRH9+/dHSkoKGjVqhE6dOkkdKd1YWNiBpk2bAgBOnjzpsM1s/yUIAry9veHt7e3UzW0XLlzApUuXoNFozAWmpXz//feoUqUKnj59iq5duzrsvHGNRoMxX4zEmC9GOsVa6EePHsXIkSMBvBouN/VMpIfpOWzgprR418Z4lpArVy4sXrwYBw4cQKlSpRAfH2+eU3727FmLnstWRFFEzP1YxNyPddolsCljli5dirCwMLi5uWHOnDmy/HzEwsIO+Pr6olKlSgBeNXGT8zCNVtSvXx9Zs2a16LHVajVWrlyJLFmy4ODBg5gwYYJFj0+29+jRI7Rv3x46nQ6ffvophg4dmqHjmEYsTp48Ca1Wa8mI5IAs0V/xIbVq1cKpU6cwadIkeHh44NChQyhfvjy++OILLkJBTiEuLs580ej777+32OigrbGwsBPOtuyswWBA6N59CN27z2GvpKeFqb8is6tBvUuRIkUwa9YsAK9eqDj1Rb6MRiO6deuG27dvIyAgAAsXLszw1ayiRYsiW7ZsSE5OxunTpy2clByNLQoL4NXFkFGjRuHChQto06YNDAYDJk+ejBIlSmDdunW8+k8ObeTIkXj8+DECAwMxfPhwqeNkGAsLO2EqLEJDQ53iCqLBYEDk0WOIPHrMaQuLW7du4eTJk1AoFGjVqpXVzvPZZ5+hU6dOMBgM6Ny5MxITE612Lino9XqsXL0WK1evdbhlK183ceJEbN++HS4uLli7di28vLwyfCxulPcmlUqFju3bomP7thneS8YRvb4xnmlk3dr8/f2xbt06bNu2DYULF8bdu3fRtm1bNG/eHNeuXbNJBrI+tVqN0aNGYPSoEU7VI/c2oaGh+Ouvv8wrO8r598HCwk5UrFgRvr6+ePbsGQ4ePCh1HLKBjRs3Ani15HCuXLmsdh5BEDBnzhwULFgQN27cMO974CiMRiOuXruGq9euybrh833279+Pr7/+GsCrxu1y5cpl+pjcKC81hUKBjwIC8FFAQJpX2HIGGd0YzxKaNWuGc+fO4dtvv4VGo8GOHTtQqlQp/PDDD0hOTrZpFrI8QRCg0Wig0Whk2UtgKS9fvkT//v0BAEOGDEGVKlUkTpQ5fPW0EwqFwtzE7SzToZydpTbFSwsvLy8sX74cCoUCy5cvx4oVK6x+TrKM2NhYdOzY0TwVqnfv3hY5LkcsKC1sNQ3qXdzc3PDDDz/g7NmzaNCgAVJSUvDdd9+hbNmyCA0NlSQTkSX9+OOPuH79OvLly4effvpJ6jiZxsLCjjhbn4Uze/jwIQ4dOgQA+OSTT2xyzho1amDcuHEAgAEDBuD69es2OS9lnGn6WmxsLEqVKoXZs2db7MpelSpVIAgCbty4gQcPHljkmHJmMBgQfeYMos+ccdrpmW8jdWFh8tFHH2H37t34+++/4efnhytXrqBRo0bo0KEDYmJiJM32Nu5ubnB3c5M6hl3T6/XYtGUrNm3Z6tDTWN/nzJkzmDx5MoBXo9Genp4SJ8o8FhZ2pGHDhv/X3p2HRVW3bwC/z2yArC4ouO/iAiKI5pJZLqC5lUuapqZpmZmpWdqi7VmpmZkpWWm5lPq+riHikqmpiBjuIC4p4oIryCLDLL8//M28WIosM/Odc+b+XBfXVcjMuSuCeeY8z/eBRqPByZMncerUKdFxyI7Wr18Pk8mE8PBw1KpVy2HXffvtt9GuXTvcvn0bQ4YMcdkf5nLx3nvv4ffff4enpydWrVpl01YUX19fNGnSBADvWgB3C4v1G2OwfmMMC4v/Z+vFeGUlSRKeeeYZJCcnY/z48VCpVFi5ciWCgoIwZ84cp/l5ptPp8PqE8Xh9wniXOAK7tEwmEw4dOYpDR44qto21KEajEaNHj4bBYMDTTz+N3r17i45kEywsnIivry8effRRALxroXT2WIpXHBqNBkuXLoWPjw/27t1r3e5Jzic2NtZ6W/y7775D48aNbX4NzllQUQ4ePGjzxXi24OPjgzlz5iAxMRGPPPIIbt++jQkTJqBly5b8XibZWLBgAeLj4+Ht7Y25c+eKjmMzLCycDNuhlC8zMxPbtm0D4Jj5in+qXbs2Fi5cCAD46KOPeFiAE0pLS8OQIUMA3G1bs9f2Vc5ZUFHsuRjPFkJDQ/Hnn38iOjoa5cuXx6FDh9C2bVuMGjUK169fFx2P6IHS09MxdepUAMCMGTNQrVo1wYlsh4WFk7EUFn/88YeilwJptVq8NGokXho1UtbHqpVGTEwM9Ho9GjVqZJd3oYtj4MCBGDp0KEwmE4YMGYJbt24JyUH/ptfrMWDAAFy/fh3h4eH48ssv7XYtyx2LhIQEp2kjIefhLPMVRVGpVBg1ahRSUlLw/PPPAwAWLVqERo0a4YcffhDSYlNQUIAlS5dhydJlKCgocPj1yfmNGzcOt2/fxiOPPGI9EUopWFg4mUaNGqFu3brQ6/XWd7WVSJIkVPb3R2V/f6d8J8ye7L0Ur7jmzZuHunXr4vz583jxxRdlu3xKp9Nh2ltTMO2tKYroZ37zzTexb98++Pr6YtWqVXBzc7PbtYKCguDr64vc3FwcOXLEbtch+TGbzbIoLCz8/f3xww8/YNeuXWjWrBmuX7+OkSNH4tFHH8Xhw4cdmsVsNuPc+TScO58m25+rZD9r167FmjVroNFoEB0drbjjrZX1T6MAkiShe/fuANgOpUR5eXmIiYkBIL6w8Pb2xooVK6DRaLBy5UosWbJEaB66O3szZ84cAMCSJUtQp04du15PpVKhdevWADhnQfdKS0vDxYsXHboYzxbat2+PgwcPYubMmfD09MSePXsQFhaGSZMm4fbt26LjkYvLysrCK6+8AgCYPHkygoODBSeyPRYWTsjSDhUTE6PYdzuMRiN27NyFHTt3udQJLFu3bkVOTg5q1KiB8PBw0XHQqlUrvP/++wCAV155BampqYITua5Tp05ZWzlef/11h50QwjkLuh9Lodm8eXOHL8YrK61Wi0mTJiE5ORn9+vWD0WjE7Nmz0bhxY6xevVqxv1fJ+b3zzjtIT09HvXr18O6774qOYxcsLJxQx44dUa5cOaSnp+PQoUOi49iF0WjEzt1/YufuP12qsCh8GpSztIC9+eabeOyxx5CTk4Nnn30Wer1edKQSMRgMWPXfNVj13zWynRPIy8tD//79kZWVhfbt2+OTTz5x2LUtbS6uXlhoNBr0e6oP+j3VBxqNRnQc4SzfD3Jog3qQ6tWrY9WqVYiJiUHdunWRnp6O/v37o1u3bjzS3QlotVpMGv8qJo1/1SVmLePj4zFv3jwAd0+E8lDonhMWFk7I3d0dnTp1AsB2KCUxGAxYv349AMcfM1sUtVqNn3/+GeXLl8eBAwcwffp00ZFKxGQy4URyCk4kp8j2LPTx48cjKSkJ/v7++OWXXxz6S9bSCpWamopr16457LrORqVSoUnjIDRpHKS4nufSkNN8xcN069YNR48exbRp06DT6bB582Y0a9YM77//Pu7cuSM6nsuSJAmenuXg6VnOad5os5eCggKMHj0aZrMZzz33HDp37iw6kt3wp6eT4rGzyrNz507cuHEDlSpVQvv27UXHuUeNGjXw3XffAQA+++wz/P7774ITuY6ff/4Z3333HSRJwrJlyxx+7GD58uURFBQE4O47akTOthjPFjw8PPD+++/j6NGj6NKlC/Lz8/Hee++hWbNm2Lx5s+h4pHBffvklDh8+jIoVK2LWrFmi49gVCwsnZRng3rdvn0u/i6gkljaoXr16OWWrRd++ffHCCy9Y31HhOfD2d+zYMetRg9OmTUOXLl2E5LDMWbjyALfJZMLxE8k4fiJZtne+bMWyGK9y5cp2P0DA0Ro0aIDNmzfj119/RWBgIE6fPo2oqCj0798f6enpNruOVqt1ifaesjAYDIiJjUNMbJxs21iL48yZM3jvvfcAALNmzYK/v7/YQHbGwsJJ1ahRAyEhITCbzYiNjRUdh8rIZDJh7dq1AMSfBlWUOXPmoGHDhkhPT8eoUaM45GhH2dnZ6N+/P3Jzc9G5c2ehg3wc4L77Imf1mrVYvWatol/kFIezL8YrK0mSMGDAACQnJ+O1116DSqXC6tWrERQUhNmzZ5f5v79Op8PUyZMwdfIkRRyBbS8mkwkHDh7EgYMHFVvMm81mjBkzBnl5eXjiiScwdOhQ0ZHsjoWFE2M7lHIkJCQgPT0dXl5e1vkZZ+Tp6YkVK1ZAq9VizZo1WLRokehIimQ2m/Hiiy/ixIkTqFq1KpYtWwa1Wi0sj6XdJT4+3qUOU6D7U9J8RVF8fHzw5ZdfIjExEW3atEF2djYmTZqE8PBw/Pnnn6LjkQIsX74ccXFxcHNzw4IFCxRZqP8TCwsnZiksYmNjXf4dNLmzLMV78skn4e7uLjhN0cLCwqynEo0fPx7JycmCEynPwoULsXz5cqjVavz666+oXLmy0DxNmzaFl5cXsrOzcfz4caFZSKzCi/Esd7KULjQ0FLt378aiRYtQoUIFHD58GO3bt8fIkSPZikyldv36dUyYMAEA8O6776JBgwaCEzkGCwsn9sgjj6BChQq4deuW4nqfNRoNRg4fhpHDhznlvIEtmc3me46ZlYOJEyeic+fOyMvLw6BBg5Cfny86kmIkJiZi/PjxAIAZM2Y4xSC/Wq1Gq1atALj2nAXJdzFeWalUKowcORIpKSkYOXIkAOCHH35Ao0aNsGjRohK16hgMBiz/dRWW/7qKbwq6sMmTJ+Pq1ato2rQpJk+eLDqOw7CwcGJqtRpRUVEAYN3WrBQqlQrVqgaiWtVAxR/tePz4caSmpkKn01mH8p2dSqXCkiVLULFiRSQlJeHtt98WHemBtFotprw+EVNen+j0w5K3bt1C//79odfr0atXL0yaNEl0JCvOWRAg78V4tlCpUiUsWrQIu3fvRnBwMG7cuIFRo0ahffv2xd4rZTKZcOr0aZw6fVqxswNUtB07duDHH38EAERHR7vUrI2yX9EpgOWFKOcs5Mtyt6Jr167w9vYWnKb4qlatih9++AHA3ZMs4uLiBCe6P0mSoNPpoNPpnLp/1Ww24/nnn8fZs2dRu3ZtLF682KnyWvrpecfCtbnKfMXDtGvXDgcPHsTs2bPh5eWFvXv3IiwsDBMmTEBWVpboeOTE7ty5gxdffBEAMGbMGLRt21ZwIsdiYeHkoqKioFKpcOTIEZw/f150HJsxGo3Ysy8ee/Ypf1jUMl8hlzaownr16oWXX34ZADBs2DBcvXpVcCL5mj17NtauXQudTofVq1ejfPnyoiPdw7IoLzk5GTdv3hSchkRhYfE/Go0GEyZMwIkTJ9C/f3+YTCbMmTMHjRs3xsqVK3lqHt3XJ598gpMnTyIwMBCffvqp6DgOx8LCyVWsWNHaoqCkdiij0Yit23/H1u2/K7qwOHv2LP766y+oVCr06tVLdJxSmTlzJpo0aYLLly9jxIgRTvfL1GAwYN2GjVi3YaPT9jP/+eefePPNNwHcPdI3PDxccKJ/8/f3R/369QG45qI8tVqNXj26o1eP7kJP6BLpzp07+OuvvwCwsCisevXqWLlyJTZt2oR69erh4sWLeOaZZxAVFYXU1FTR8WRLq9Xi1Zdfwqsvv+T0bazFdfz4ccyYMQMAMHfuXPj6+gpO5HgsLGSAx87Kl2V3RYcOHVCpUiWxYUrJw8MDK1asgJubGzZu3Ij58+eLjnQPk8mEQ0eO4tCRo07Zz3z16lU888wzMBqNGDRokHUhnjNy5TkLtVqN0JAQhIaEuGxhkZiYqNjFeLYQFRWFo0eP4r333oObmxvi4uLQrFkzTJ8+HXl5eaLjyY4kSfDz84Ofn59TtYWWlslkwujRo1FQUICePXuib9++oiMJwcJCBiyFxbZt2/jDS2Ys8xXOvBSvOEJCQvD5558DACZNmoSjR48KTiQPRqMRQ4YMQXp6Oho1aoSFCxc69S9Qzlm4NqUvxrMFd3d3TJ8+HUeOHEFkZCT0ej0++OADBAcHc5mti1u0aBH+/PNPeHp6Yt68eS77/xALCxkICQlB9erVkZeXhx07doiOQ8V05coV65KlPn36iA1jA+PGjUO3bt2Qn5+PQYMGscgtho8//hhxcXHw8PDA6tWrnX5433LHIj4+3inv/tiTyWTCyVOncPLUKZf7Z7fgfEXxNWjQAJs2bcKqVatQrVo1nD59Gt26dUO/fv1w4UK66HiyYDQasWXbdmzZtl32LdGXLl3CG2+8AeDuz/2aNWsKTiQOCwsZkCSJp0PJ0Lp162A2mxEREYEaNWqIjlNmkiThxx9/ROXKlXH06FHrzADd39atW/Hee+8BABYsWIBmzZqJDVQMISEh8PDwQGZmJlJSUkTHcSiDwYBfVq7GLytXO+2sjj0VXozHwqJ4JElCv379cOLECUycOBFqtRr/+c9/EBISjHI6DaZOnuRSx4yWlNFoxN74/dgbv1/2hcVrr72GzMxMtGzZEq+88oroOEKxsJCJwnMWzjY8S/cnt6V4xVGlShUsWbIEAPD111+z0H2A9PR0PPvsszCbzXjhhRcwdOhQ0ZGKRaPRICIiAgDboVxNWloaLl26BI1G41KL8WzB29sbs2bNwsGDB9G2bVvk5ORg8uTJaNmyJS5evCg6HtnZb7/9hpUrV0KtViM6OtplZ7QsWFjIRKdOneDm5oa///4bJ06cEB2HHuLWrVvYvn07APnPV/xTVFSUdXP0888/j8uXLwtO5FwKCgowcOBAXL16Fc2bN8fcuXNFRyoRy7vVrjjA7coKL8YrV66c4DTyFBISgl27duH7779HxYoVcfjwYURGRuLGjRuio5GdZGdnW49knzBhAlq0aCE4kXh2LSxu3LiBwYMHw8fHB35+fhg5ciSys7OLfEzHjh0hSdI9H858ioqjeHp6omPHjgCU0Q6l0WgwdPAgDB08CBqNRnQcm/vtt99QUFCAJk2aoFGjRqLj2NyMGTMQEhKCq1evYtiwYS7bk34/77zzDnbv3g1vb2+sWrUKHh4eoiOViGXOgncsXAvboGxDpVJhxIgR2L9/PwIDA3H06FH06NEDOTk5oqORHUyfPh3nz59HrVq1rK2vrs6uhcXgwYNx7NgxbNmyBRs3bsTOnTsxevTohz5u1KhRuHTpkvXDchqNq7O0Qylhn4VKpULtWrVQu1YtqFTKu3Em56V4xeHu7o4VK1bA3d0dcXFx+Oqrr4Rl0Wq1mDT+VUwa/6rws9DXr19v/Xn1448/okGDBkLzlIalsDh27Bg3DLsQFha2VbduXWzevBl+fn7Yu3cvnn76aej1etGxyIYSExMxZ84cAMC3334LT09PsYGchN1e0Z04cQKxsbFYtGgRWrdujfbt2+Prr7/GL7/88tCew3LlyiEgIMD64ePjY6+YsmIZ4N69ezcyMzMFp6EHycvLw6ZNmwAorw2qsCZNmmD27NkAgClTpiApKUlIDkmS4OlZDp6e5YQe73f27FkMGzYMADB+/HjZnmEeEBCA2rVrw2w2Y//+/aLjkANwMZ59BAcHIyYmBuXKlUNcXByee+452Q8p010GgwGjR4+GyWTCwIED0a1bN9GRnIbdCou9e/fCz8/vniGwzp07Q6VSPXSr67Jly1CpUiU0a9YMU6dORW5urr1iykq9evXQqFEjGAwGxMXFiY5TJkajEQkHEpFwIFFxP2jj4uKQm5uLWrVqKb7f8qWXXkKvXr2g1+sxaNAgl/1/NT8/HwMGDMCtW7fwyCOPyP4uqysvynNFhRfj1a5dW3QcRWnTpg3++9//QqvVYuXKlXj55Zd5AIsCzJ07FwcPHoSfn5/1rgXdZbfC4vLly6hcufI9n9NoNKhQoUKRw57PPvssli5dit9//x1Tp07Fzz//jCFDhjzw6/Pz85GVlXXPh5IpZQu30WjEprgt2BS3RXGFReHToJS+IEeSJHz//fcIDAxEcnIyJk6c6PAMBoMBMbFxiImNE3ZM6MSJE3HgwAFUqFABv/76q+yPmHTFRXlqtRrdunZBt65dXO5UFy7Gs6/IyEgsXboUkiQhOjoab7/9tuhITkGr1eKlUSPx0qiRwttYS+LcuXN49913AQBffPEFqlSpIjiRcylxYTFlypR/DVf/8yM5ObnUgUaPHo3IyEgEBwdj8ODB+Omnn7BmzRqcPn36vl//6aefwtfX1/qhhH0BRbEUFps2beLArBMqKCjAhg0bACh3vuKfKlWqhJ9++gkAsHDhQqxdu9ah1zeZTDhw8CAOHDwo5P+JX375BfPnzwcALF26VBGLkQrfsXCVd1fVajUiWoYjomW4SxcWZB8DBgzAggULANx93TJr1izBicSTJAmV/f1R2d9fNgWt2WzG2LFjkZubi0cffRQjRowQHcnplLiwmDRpEk6cOFHkR926dREQEICMjIx7HmswGHDjxg0EBAQU+3qtW7cGAJw6deq+fz516lRkZmZaP9LS0kr6jyQr7du3h7e3NzIyMnDgwAHRcegf/vjjD9y8eRP+/v5o166d6DgO07lzZ0yePBkAMHLkSKSnu8bm2ZSUFIwaNQoA8NZbbymmzzY0NBRubm64ceMGUlNTRcchO+JiPMcZPXo0PvnkEwDA66+/jh9++EFwIiqpVatW4bfffoNOp8PChQsVefhMWZX434i/vz+CgoKK/NDpdGjTpg1u3bqFxMRE62O3b98Ok8lkLRaKwzIQGhgYeN8/d3Nzg4+Pzz0fSqbT6dC1a1cA8m+HUiJLG1Tv3r1d7l3Pjz76CGFhYbhx4waGDh2q+Dtqubm56NevH7Kzs9GxY0e8//77oiPZjE6nQ3h4OADXmbMwmUz4+9w5/H3unOK/dws7f/48F+M50JQpUzBp0iQAd0/AtPzOcEVGoxE7du7Cjp27ZNESffPmTbz66qsA7r6p3bhxY8GJnJPdSq3GjRsjKioKo0aNwv79+/Hnn3/ilVdewcCBA1G1alUAd7fTBgUFWU8eOX36ND788EMkJibi77//xvr16zF06FB06NABISEh9ooqO0qZs1Aak8lkbQNS8mlQD6LT6bB8+XKUK1cO27dvx8yZM0VHshuz2YyXX34ZR48eRUBAAFasWKG4fSyuNmdhMBjw07IV+GnZCmGzOiJwMZ5jSZKEL774AiNGjIDJZMKgQYOwbds20bGEMBqN2Ln7T+zc/acsCospU6bgypUraNSoEaZOnSo6jtOy6z2cZcuWISgoCJ06dUL37t3Rvn17REdHW/+8oKAAKSkp1pNkdDodtm7diq5duyIoKAiTJk1C3759rT3rdJel3SIxMRGXLl0SnIYs4uPjcenSJXh7e+OJJ54QHUeIRo0aWTdNv/3224pt1/vhhx+wZMkSqFQqrFixokTtnXLBk6FcA9ugHE+SJCxcuBBPPfUU9Ho9+vTpg4SEBNGxqAi7d++2vn6Njo6Gm5ub4ETOy66FRYUKFbB8+XLcvn0bmZmZ+OGHH+Dl5WX9c8tZ6ZaN0jVq1MAff/yB69ev486dO0hNTcXnn3+u+PamkgoICLDesrbsSyDxLEvxevTo4dI/dEaMGIF+/frBYDDg2WefRXZ2tuhINnXo0CG88sorAIAPP/zQ+vNLaSwvNA8fPqy4/4b0PywsxNBoNFi+fDmeeOIJZGdno1u3bjh+/LjoWHQf+fn51uXOI0eORIcOHQQncm6cOpEpubdDaTQaDBzQDwMH9FNEC4nZbLb2yrpiG1RhliMVq1evjtTUVIwfP150JJvJyspC//79cefOHXTv3h1TpkwRHcluqlWrhurVq989dUuhd55cXV5eHhfjCeTu7o61a9ciIiIC169fR9euXXHu3DnRsegfPv/8c5w4cQKVK1eW/Y4iR2BhIVOWwmLLli3Q6/WC05ScSqVCw/r10bB+fUWcqnD06FGcPn0abm5uiIqKEh1HuPLly1vPbf/hhx+watUqu11Lq9Xi1Zdfwqsvv2TXs9DNZjNGjhyJ1NRU1KxZEz/99JMivneL4mpzFq7m4MGDMBgMqFKlChfjCeLt7Y2YmBg0btwY6enp6NKlC65cuSI6Fv2/lJQUfPTRRwCAOXPmoEKFCoITOT9l/1ZUsPDwcFSuXBm3b9/G7t27RcdxeZa7FZGRkfe0+7myxx57DG+99RaAu8csnj9/3i7XkSQJfn5+8PPzs+tZ6F9//TVWr15t3aBbsWJFu13LWXDOQtm4GM85VKpUCXFxcahZsyZSU1MRFRWFzMxM0bFcntlsxksvvQS9Xo+oqCgMHDhQdCRZYGEhUyqVyjrELcd2KKPRiKTDh5F0+LAsToN4GMt8hassxSuu6dOno3Xr1rh16xaGDBki2//W8fHxeP311wEAM2fOLNGR2XJmuWPhSovyXAnnK5xH9erVsWXLFvj7+yMpKQk9e/ZEXl6e6FgubfHixdixYwc8PDwwf/58Ft/FxMJCxuQ8Z2E0GrF+YwzWb4yR7YtNi9OnT+PQoUNQq9Xo2bOn6DhORavVYtmyZfDy8sKuXbvw6aef2vwaRqMRW7Ztx5Zt2+3yvXT9+nUMGDAABQUF6Nu3L8aNG2fzazirFi1aQKvVIiMjA2fPnhUdx67UajU6P/E4Oj/xuEvsoOFiPOfTsGFDbN68GT4+Pti1a5f1545SaTQajBw+DCOHD3O6WcuMjAzrvpEPPvgAderUEZxIPlhYyFjXrl2h0WiQkpKC06dPi47jsix3Kx577DGXaI8pqXr16mH+/PkAgPfee8/mbTVGoxF74/djb/x+mxcWJpMJQ4cOxfnz51G/fn18//33LvWulbu7O8LCwgAovx1KrVaj7SOt0faR1i5RWHAxnnNq0aIFNmzYAHd3d2zcuBHPP/+8Yhc2qlQqVKsaiGpVA51uXm3ixIm4efMmQkND8dprr4mOIyvO9V+SSsTX1xft27cHIM+7FkphKSxc/TSoogwZMgSDBg2C0WjEs88+i6ysLNGRiuWzzz5DTEwM3N3dsXr1avj6+oqO5HCWOQsOcCuL5b9naGgoPDw8BKehwjp06IBVq1ZBrVZj2bJleO2119iK6ECbN2/GsmXLoFKpEB0d7XR3U5wdCwuZk3M7lBJcunQJe/bsAQD06dNHbBgnJkkSvv32W9SuXRtnz57F2LFjRUd6qB07duCdd94BAMybNw/NmzcXnEgMVxngNplMSL94CekXLyn2HeLC2Abl3Hr06IElS5YAuHtwxAcffCA4ke0ZjUbs2RePPfvinaYlOjc3F2PGjAEAjBs3DhEREYITyQ8LC5mzFBY7duzgEisB1q1bBwBo3bo1qlWrJjiNc/P19cXSpUuhUqmwdOlSLFu2THSkB7p8+TIGDhwIk8mEYcOGYcSIEaIjCWN54ZmUlKToYVKDwYDvFy/B94uXwGAwiI5jd5bCwlI4kvMZPHgw5s6dC+BuG+nXX38tOJFtGY1GbN3+O7Zu/91pCosPPvgAZ8+eRfXq1fHhhx+KjiNLLCxkLigoCHXq1IFer8e2bdtEx3E5XIpXMu3atcO0adMAAGPGjMGZM2cEJ/o3o9GIQYMG4cqVK2jatCm++eYbl5qr+KeaNWsiICAABoMBiYmJouOQDXAxnnyMGzcO7733HgDg1VdfxdKlS8UGUrBDhw5h5syZAID58+fD29tbcCJ5YmEhc5IksR1KkJs3b+L3338HwGNmS+Ltt99Gu3btcPv2bQwZMsTp3h2ePn06duzYAS8vL6xevRqenp6iIwklSRIX5SlMYmIiF+PJyLRp06yn0Q0fPhwbN24UnEh5jEYjRo8eDaPRiL59+/KExzJgYaEAlsIiJiZGNgNeGo0G/Z7qg35P9ZHtYNTGjRthMBjQrFkzNGjQQHQc2dBoNFi6dCl8fHywd+9ep7rdvGnTJnz88ccAgO+++w5BQUGCEzkHV5mzcBVcjCcvkiRhzpw51l1A/fv3x86dO0XHUpT58+dj//798PHxsbafUemwsFCAjh07wsPDA+np6Th8+LDoOMWiUqnQpHEQmjQOcrpj5oqLS/FKr3bt2li4cCEA4KOPPsKuXbtK/VxarRYvjRqJl0aNhFarLfXznD9/HkOGDAEAvPzyy9yyWkjhOxZyefOCHoyD2/KjUqnwww8/oEePHrhz5w569uxpbWejsklLS8Nbb70FAJgxYwaqVq0qOJG8yfMVHd3D3d0dnTp1AsB2KEfJzc1FbGwsAM5XlNbAgQMxbNgwmEwmDBkyBLdu3SrV80iShMr+/qjs71/qd1/1ej0GDBiAGzduIDw8HLNnzy7V8yhVeHg4NBoNLl26hLS0NNFxqAy4GE++tFotVq5ciQ4dOiArKwuRkZE4efKk6FiyN27cOGRnZ6NNmzZ48cUXRceRPRYWCiG3OQuTyYTjJ5Jx/ESyLI923Lx5M/Ly8lC7dm2XPYbUFr7++mvUq1cP58+fx4svvijs3fA333wT8fHx8PPzw6pVq+Dm5iYkh7MqV66c9fuccxbydu7cOVy+fJmL8WTKw8MD69evR4sWLXD16lV06dIFFy5cEB1LttasWYN169ZBo9EgOjpath0UzoT/BhWie/fuAO72QF+/fl1wmoczGAxYvWYtVq9Z63TDu8VR+DQo9iiXnre3N5YvXw6NRoOVK1daz20vCaPRiB07d2HHzl2lOrLwP//5D+bMmQMAWLJkCerUqVPi53AFSp+zUKvV6NC+HTq0b6fozdtcjCd/vr6+iI2NRYMGDXD+/Hl07doV165dEx2rxDQaDYYOHoShgwcJmbXMysrCK6+8AgB444030KxZM4dnUCIWFgpRs2ZNBAcHw2QyWVt0yD70ej02bNgAgPMVttCqVSvr8qdXXnkFqampJXq80WjEzt1/YufuP0tcWJw6dcq6o2Ly5Mno1atXiR7vSpR+MpRarUbHDo+iY4dHFV1YWApDtkHJW+XKlbFlyxZUq1YNJ06cQPfu3XH79m3RsUpEpVKhdq1aqF2rlpA7BW+99RYuXryI+vXrW5ehUtmxsFAQubVDydWOHTuQmZmJKlWq8Jezjbzxxht47LHHkJOTg2effRZ6vd7u18zLy0O/fv2QlZWF9u3bW0+Dovuz3LH466+/kJ+fLzgNlRbnK5SjVq1aiIuLQ8WKFZGQkIA+ffrgzp07omPJwr59+zB//nwAwIIFC3j3zoZYWCiIpbCIjY2VZXuRXFjaoHr37q3odzYdSa1W4+eff0b58uVx4MABTJ8+3e7XfPXVV3Ho0CH4+/vjl19+KdOJUq6gbt268Pf3h16vV+RpNGazGRlXryLj6lXFnnzFxXjK06RJE2zatAleXl7Yvn07nn32Wdn8/jcajUg4kIiEA4kO3bxdUFCAUaNGwWw2Y+jQodbDb8g2WFgoyCOPPILy5cvj5s2biu2DFs1oNGLt2rUAeBqUrdWoUQPfffcdAOCzzz6zLh+0h59++gmLFi2CJElYvnw5qlWrZrdrKYUkSda7FkpshyooKMCC777Hgu++R0FBgeg4dmFZjBcQEIBatWqJjkM2EhERgbVr10Kn02HNmjVCD8IoCaPRiE1xW7ApbotDC4tZs2bh6NGjqFixImbNmuWw67oKFhYKotFoEBUVBYDtUPayb98+XLlyBb6+vnj88cdFx1Gcvn374oUXXoDZbMZzzz1nl4MIjh07hjFjxgC4u2W7c+fONr+GUlne5eYbF/LExXjK1alTJ/zyyy/WfReTJ0+WRXHhaKdPn8b7778PAJg9ezYqVaokOJHysLBQGM5Z2JdlKV6PHj2g0+kEp1GmOXPmoGHDhkhPT7ferraV7Oxs9OvXD7m5uejSpQsH9kpIyXcsXAHnK5Ttqaeest71nTVrFmbMmCE4kXMxm8146aWXcOfOHXTq1AnPPfec6EiKxMJCYaKioqBSqXDkyBGcP39edJwHUqvV6NWjO3r16C6bOQWz2XzPMbNkH56enlixYgW0Wi3WrFmDRYsW2eR5zWYzRo8ejeTkZFSrVg3Lli2Tzfees4iIiIBKpUJaWhrS09NFx6ES4GI81zBixAjMnDkTwN1TjxYuXCg4kfNYtmwZtm7dCnd3dyxYsIB37eyEhYXCVKxY0fqu4qZNmwSneTC1Wo3QkBCEhoTI5sXd4cOHcfbsWbi7uyMyMlJ0HEULCwvDJ598AgAYP348kpOTH/i1Go0GI4cPw8jhw4o8C33BggVYsWIF1Go1fv31V/j7+9s8t9J5eXkhODgYANuh5KbwYrzw8HDRcciOJk2ahKlTpwIAxowZg5UrVwpOJN61a9cwYcIEAMC0adNQv359wYmUi4WFArEdyj4sdyuioqLg6ekpOI3yTZw4EZ07d0ZeXh4GDRr0wCNOVSoVqlUNRLWqgQ88Cz0xMRGvvfYaAGDGjBlo166dvWIrntIX5SkVF+O5lo8//tg6xD1kyBBs3rxZdCShJk+ejGvXrqFZs2Z4/fXXRcdRNBYWCmTZwr1t2zanPdPaZDLh5KlTOHnqFEwmk+g4xWIpLLgUzzFUKhV++uknVKpUCUlJSXj77bdL9Tw3b95E//79odfr0bt3b0yaNMnGSV2L0hflKRXboFyLJEn45ptvMGDAABQUFODpp5/Gnj17RMcSYvv27Vi8eDEkSUJ0dDSPFrczFhYK1Lx5c1SrVg25ubnYsWOH6Dj3ZTAY8MvK1fhl5WpZnLmdmpqKo0ePQqPRoEePHqLjuIzAwEB8//33AO4OI8bFxf3ra4xGI/bsi8eeffH/OrLQbDbj+eefx9mzZ1GnTh3rLxcqPcsdi8TERIcsMnQUtVqNNq1boU3rVrJpzywJFhaux7IfKDIyErm5uXjyySdx5MgR0bGsNBoNBg7oh4ED+hXZxloWeXl5ePHFFwHcbQvj97/9sbBQIEmSrHct2A5lG5bToDp27IgKFSoITuNaevXqhZdffhkAMGzYMFy9evWePzcajdi6/Xds3f77vwqLWbNmYd26ddDpdFi1ahX8/PwcFVuxGjZsiPLly+POnTs4dOiQ6Dg2o1ar0aXTE+jS6QnFFRZ5eXlISkoCwMLC1eh0OvznP/9BmzZtcOvWLXTt2hVnzpwRHQvA3bvSDevXR8P69R/YxlpWH3/8MU6dOoXAwEDr3B7ZFwsLhSo8Z8GzrMvOUljwNCgxZs6ciSZNmuDy5csYMWJEsb6nd+/ejSlTpgAAvvrqKw6s2kjhRXmcs5CHAwcOcDGeC/P09MTGjRvRrFkzXL58GV26dMGlS5dEx7K7Y8eO4bPPPgMAzJs3D76+voITuQYWFgrVqVMn6HQ6nD17tsgTdejh0tPTsW/fPkiShD59+oiO45I8PDywYsUKuLm5YePGjZg/f36RX3/16lU888wzMBqNGDRokPVWONmGEucszGYzbt26hVu3binuzRguxqMKFSogLi4OdevWxZkzZ9C1a1fcvHlTaCaj0Yikw4eRdPiwzTdvm0wmjB49GgaDAb169eJspAOxsFAoLy8vdOzYEQDbocpq3bp1AO72lgcGBgpO47pCQkLw+eefA7h7nOLRo0fv+3VGoxGDBw/GxYsXERQUhOjoaL6YsjEl3rEoKCjA3PkLMHf+AhQUFIiOY1OcryDg7szali1bEBAQgKNHj+LJJ59ETk6OsDxGoxHrN8Zg/cYYmxcW0dHR2LNnD7y8vDBv3jz+DnAgFhYKxmNnbYNL8ZzHuHHj0K1bN+Tn52PQoEHIy8v719d89NFH2LJlC8qVK4fVq1fDy8tLQFJla9WqFSRJwtmzZ3HlyhXRcagIXIxHhdWtWxdxcXHw8/PD3r170bdvX0UdwgAAFy9exJtvvgng7oxFjRo1BCdyLSwsFMxSWOzevRuZmZmC08jTjRs3rCdr8VaqeJIkYfHixahcuTKOHj1q/eVhsX37drz//vsA7i7Ea9q0qYiYiufr64smTZoAUNZdCyU6d+4crly5wsV4ZBUcHIzffvsNHh4e2Lx5M4YOHWrzOwYijR8/HllZWYiIiMDYsWNFx3E5LCwUrF69emjUqBEMBsN9j+kUSa1Wo1vXLujWtYtTn8CyYcMGGI1GhISEoF69eqLjEIDKlStjyZIlAICvv/4asbH/W/xkGeweNWoUnnvuOVERXYIS5yyUyPLfp0WLFlyMR1Zt27bFmjVroNVq8euvv2Ls2LGKmC3asGEDVq9eDbVajejoaKd+faFULCwUzlnbodRqNSJahiOiZbhT/49vOQ2KdyucS1RUlHWT9qhRL6Bb1844EL8Xly9fRmhoKL766iuxAV2AEucslIhtUPQgkZGR+PnnnyFJEhYuXIh33nlHdKQyyc7Ott6hmDhxIkJDQ8UGclEsLBTOUlhs2rRJNhuunUV2djY2b777bjjnK5zPp59+ipCQEGRkZCAqMhIb1q+Ht7c3Vq1axXdmHcDyQjUhIUEWSy5dFQsLKsozzzyDb7/9FgDwySefYPbs2YITld67776LtLQ01KlTB9OnTxcdx2WxsFC49u3bw9vbGxkZGUhMTBQdx8pkMuHvc+fw97lzTlvwxMbG4s6dO6hbty6Cg4NFx6F/cHd3x4oVK+Du7o4bN24AAH788UfUr19fcDLXEBQUBF9fX+Tm5jrVNl/6Hy7Go+J48cUX8fHHHwO4e+Lejz/+KDhRyR04cABz584FAHz77bfw9PQUnMh1sbBQOJ1Ohy5dugBwrnYog8GAn5atwE/LVjjtu52Fl+LxqDrn1KRJE3zzzTeQJAlvvvkm7yw5kEqlQuvWrQEoox1KpVKhZVgYWoaF2W0LsKNZFuMFBgaiZs2aouOQE5s6dSomTZoEAHjhhRewdu1au19To9Gg31N90O+pPtBoNKV+HoPBgFGjRsFkMmHQoEGIjIy0YUoqKWX89KQiOeuchTPT6/XYuHEjAM5XOLsRI0YgMzMTM2bMEB3F5VjmLJQwwK3RaNA9qiu6R3Ut04scZ8LFeFRckiThiy++wPPPPw+TyYRnnnkG27dvt+s1VSoVmjQOQpPGQWUq5r/66iskJSWhfPny+PLLL22YkEqDhYUL6N69O4C7715dvnxZcBp52L59O7KyshAQEGB98UTOy9vbW3QEl8QBbudmKSz4M4yKQ5IkREdHo0+fPtDr9ejduzcSEhJExyrS33//jWnTpgEAvvjiC1SpUkVwImJh4QICAgKs55dv2rRJcBp5sCzFe+qppxTTFkFka5ZWqNTUVFy7dk1wmrIxm83IyclFTk6uIo7d5GI8Kg2NRoMVK1bgiSeeQHZ2Nrp164YTJ07Y5VomkwnHTyTj+InkUs1ams1mjBkzBrm5uXjssccwYsQIO6SkkuIrJhfBdqjiMxqNWLduHQC2QREVpUKFCmjUqBEAID4+XnCasikoKMCsr+Zi1ldzUVBQIDpOmf39999cjEel4u7ujrVr1yIiIgLXr19H165dce7cOZtfx2AwYPWatVi9Zm2pZi1//fVXxMbGQqfTYeHChWz3cxIsLFyEpbCIi4uDXq8XnMa57dmzBxkZGfDz80PHjh1FxyFyalyU55y4GI/KwtvbGzExMWjcuDEuXLiALl26ICMjQ3Qsq5s3b2L8+PEAgLfeesv6BgeJx8LCRbRs2RKVK1fG7du3sXv3btFxnJrlNKiePXtCq9UKTkPk3Dhn4ZzYBkVlValSJcTFxaFmzZpITU1FVFQUMjMzRccCALz55pvIyMhAUFAQpkyZIjoOFcLCwkWoVCp069YNgHO0Q6nVanR+4nF0fuJxp9q8bTabrfMVPLqU6OEsL1zj4+NhNBoFpyELFhZkC9WrV8eWLVvg7++Pv/76C7169UJeXp7QTLt27cJ3330HAIiOjoabm5vQPHQvFhYuxJnmLNRqNdo+0hptH2ntVIVFUlISzp07Bw8PD3Tt2lV0HCKn17RpU3h5eSE7OxvHjx8XHYcA5Obm4tChQwBYWFDZNWzYELGxsfDx8cHOnTvxzDPPCJtDys/Px+jRowEAo0aNwqOPPiokBz0YCwsX0rVrV6jVaqSkpOD06dOi4zgly92Kbt26oVy5coLTEDk/tVqNVq1aAeCchbPgYjyytbCwMGzYsAHu7u7YsGEDRowYUaqTnMpqxowZSE5ORpUqVfDZZ585/Pr0cCwsXIivry/at28PAIiJiRGaxWQyIf3iJaRfvCTkh9ODFD5mloiKh3MWzsXy34GL8ciWOnTogJUrV0KtVmPp0qWYMGGCQ49mTk5OxieffALg7lK88uXLO+zaVHwsLFyMs7RDGQwGfL94Cb5fvKRUx8zZQ0pKCo4fPw6NRoMePXqIjkMkG0o4GUqlUqF5cDM0D24m+901nK8ge+nZsycWL14MAJg7dy4+/PDDUj+XWq1Grx7d0atH94e2RJtMJrz44ovQ6/Xo1q0bBgwYUOrrkn3J+6cnlZilsNixYwdycnIEp3EultOgOnXqBD8/P7FhiGTEsigvOTkZN2/eFJymdDQaDXr37IHePXtAo9GIjlNqXIxH9jZkyBB89dVXAIDp06dj3rx5pXoetVqN0JAQhIaEPLSw+PHHH7Fz506UK1cO8+fP5504J8bCwsU0btwYtWvXRn5+PrZt2yY6jlOxFBZsgyIqGX9/f9SvXx8AsH//fsFpXJtlMZ5Wq+ViPLKbV199FdOnTwcAjBs3DsuWLbPbta5cuYLJkycDAD744APUrl3bbteismNh4WIkSXKadihncuHCBezfvx+SJKF3796i4xDJjmXOQq7tUGazGXq9Hnq93qF947ZWeDGeu7u74DSkZNOnT8crr7wCABg2bFiJX1OYTCacPHUKJ0+dKnLWcsKECbh58yZatGhhXYpHzouFhQuyFBYxMTGy/gVqS2vXrgUAtG3bFgEBAWLDEMmQpe1GrgPcBQUFmDFzNmbMnC3sKE1bYBsUOYokSfjqq68wePBgGI1G9OvXD7t27Sr24w0GA35ZuRq/rFz9wFnL2NhYrFixAiqVCtHR0bJuU3QVLCxcUMeOHeHh4YELFy7g8OHDouM4BS7FIyqbwidDOdNJb66GhQU5kkqlwo8//ognn3wSd+7cQY8ePfDXX3/Z5LlzcnIwZswYAHdbr1q2bGmT5yX7YmHhgjw8PNCpUycAbIcCgGvXrmHnzp0AOF9BVFrBwcHw8PBAZmYmUlJSRMdxSVyMRyJotVqsWrUKjz76KLKyshAVFYXU1NQyP+/777+Pv//+GzVr1izT6VPkWCwsXJToOQu1Wo0O7duhQ/t2wjdvb9iwAUajEaGhoahTp47QLERypdVqERERAUC+cxZyV3gxXo0aNUTHIRfi4eGBDRs2IDQ0FBkZGejSpQsuXLhQ6udLSkrC7NmzAQDffPMNvLy8bBWV7IyFhYvq3r07gLttC9evX3f49dVqNTp2eBQdOzwqvLDgUjwi2+CiPLEKt0HxOE5yNF9fX8TGxqJ+/fo4d+4cIiMjS/X6wmg0YtSoUda5De6VkhcWFi6qZs2aCA4OhslkwubNm0XHEeb27dvYsmULAM5XEJWVEhblyRnnK0i0KlWqYMuWLahWrRqOHz+O7t274/bt2yV6jm+++QYHDhyAr68v5s6da6ekZC8sLFyY5a6FiHYos9mMjKtXkXH1qtCTqTZt2oT8/HzUr18fTZs2FZaDSAksdyyOHTuGrKwswWlcCxfjkbOoXbs24uLiUKFCBezfvx9PPfUU8vPzi/XYtLQ0vP322wCAGTNmIDAw0J5RyQ5YWLgwy5xFbGwsjEajQ69dUFCABd99jwXffS/0aEfLUrynn36arQNEZRQQEIDatWvDbDbLblGeSqVC46BGaBzUCCqV/H41nj17FhkZGVyMR06hSZMm2LRpEzw9PbFt2zY8++yz/zpSVq1Wo1vXLujWtQvUajXMZjPGjh2L7OxstG3bFqNHjxaUnspCfj89yWbatGmD8uXL48aNGy7ZE52fn2+9W8M2KCLbkOuchUajQf+nn0L/p5+S5Vn5XIxHzqZVq1ZYt24ddDod/vvf/+Kll166p0NBrVYjomU4IlqGQ61W47///S82bNgArVaL6OhoWRb4xMLCpWk0GkRGRgJwzWNnt23bhtu3b6Nq1arW02yIqGw4ZyEG26DIGXXq1Am//PILVCoVvv/+e7zxxhv3bX/OzMzEuHHjAABvvPEGW5NljIWFixN97KxIhU+D4jsjRLZR+I6FyPkpV2O5Q8TCgpzNU089he+++w4AMHPmTHz22WcAAJPJhL/PncPf587hrbfewqVLl9CgQQO88847IuNSGcnvfi/ZVFRUFCRJwuHDh5GWluYyZ58bjUasW7cOAI+ZJbKl0NBQuLm54caNG0hNTUXDhg1FRyoWvV6PGTPvnps/5fWJ0Ol0ghMVHxfjkbMbMWIEbty4gcmTJ2Pq1KmoUKEChg8fjp+WrQAALFq0CACwYMECtvLJHN+mdXGVKlWyvsMYExMjOI3j7N69G9euXUOFChXQoUMH0XGIFEOn01mHh+U2ZyFXlsV4VatWdZk3h0h+Xn/9dUydOhUA8NJLL1kPTwHunmo2fPhwPPHEE6LikY2wsCCXbIey/EDr2bMntFqt4DREymJ515yFhWNwMR7Jxccff4wXX3wRZrMZI0aMsH6+YsWKmDlzpsBkZCssLMhaWGzbtg137txxyDXVajXatG6FNq1bOXzzttlsts5X8DQoItuz3AXlALdjcHCb5EKSJHzzzTcYMGDAPUfNf/bZZ6hYsaLAZGQrLCwIzZs3R7Vq1ZCbm4sdO3Y45JpqtRpdOj2BLp2ecHhhkZiYiLS0NHh6eqJLly4OvTaRK7C8wD18+DBycnIEp1E2LsYjuVGr1fj555/x+OOPY/rbU7F7x3Y899xzomORjbCwIEiSZN3C7QpzFpY2qG7dusHDw0NwGiLlqVatGqpXrw6TyYSEhATRcRSt8GK8sLAw0XGIikWn02HdunVYt24d1q5dyxY+BWFhQQBgLSx+++03hxwRaTabcevWLdy6dcvhR1KyDYrI/uS6KE9uLHcrwsLCeJoOyYq7uzt69eqFcuXKiY5CNsTCggAAnTt3hk6nw5kzZ5CSkmL36xUUFGDu/AWYO3/BPX2W9nbixAkkJydDq9Vaiykisj25LcpTqVSoX68e6terJ6u9NpZ/v5ZCjohIJPn89CS78vLywmOPPQZA2adDWdqgOnfuDF9fX8FpiJRLbovyNBoNnn2mP559pj80GvmseOJ8BRE5E7sVFh9//DHatm2LcuXKwc/Pr1iPMZvNmDZtGgIDA+Hh4YHOnTsjNTXVXhHpH1zh2FlLYcGleET2FRYWBq1Wi4yMDJw9e1Z0HEXKycnhYjwicip2Kyz0ej369++PMWPGFPsxn3/+OebOnYsFCxYgPj4enp6eiIyMdNgRqK7OUljs2rULmZmZgtPY3vnz53HgwAFIkoTevXuLjkOkaO7u7mjRogUAzlnYy4EDB2A0GrkYj4icht0Ki/fffx8TJkxAcHBwsb7ebDZjzpw5eOedd9C7d2+EhITgp59+wsWLF7F27Vp7xaRC6tevj4YNG8JgMGDLli2i49ic5fuoffv2qFy5stgwRC5ATnMWer0en34xC59+MQt6vV50nGLhYjwicjZOM2Nx9uxZXL58GZ07d7Z+ztfXF61bt5bFLyWlUHI7FE+DInIsuZ0MVVBQ4NDDJMqK8xVE5GycprC4fPkyAKBKlSr3fL5KlSrWP7uf/Px8ZGVl3fNBpWcpLGJiYmAymQSnsZ2rV69i165dAIA+ffqIDUPkIiwveJOSkpCXlyc4jbJwMR4ROaMSFRZTpkyBJElFfiQnJ9sr6319+umn8PX1tX6wz7RsHn30UXh7eyMjIwOJiYl2u45KpULLsDC0DAtzyNGO69evh8lkQlhYGGrXrm336xERULNmTQQEBMBgMNj154krOnv2LK5evcrFeETkVEr0im7SpEk4ceJEkR9169YtVZCAgAAAwJUrV+75/JUrV6x/dj9Tp05FZmam9SMtLa1U16e7dDodunTpAsC+7VAajQbdo7qie1RXhxztaGmD4mlQRI4jSZKs5izkhIvxiMgZlaiw8Pf3R1BQUJEfOp2uVEHq1KmDgIAAbNu2zfq5rKwsxMfHF3mb183NDT4+Pvd8UNkUbodSgqysLGzduhUA5yuIHE1ucxZywTYoInJGdutBOX/+PJKSknD+/HkYjUYkJSUhKSkJ2dnZ1q8JCgqy7hWQJAmvvfYaPvroI6xfvx5HjhzB0KFDUbVqVfbEO1i3bt0AAAkJCf+6g2QrZrMZOTm5yMnJtfvyrJiYGOj1ejRq1AiNGze267WI6F6F71jIYVGeXLCwICJnZLcelGnTpmHJkiXWv7ecZ/7777+jY8eOAICUlJR79iW88cYbyMnJwejRo3Hr1i20b98esbGxvM3rYIGBgQgLC8PBgwexadMmDB8+3ObXKCgowKyv5gIAprw+sdR3uoqj8FI8HslI5Fjh4eHQaDS4dOkS0tLSULNmTdGR7kuSJNSqWcP6186Mi/GIyFnZ7Y7F4sWLYTab//VhKSqAu+9aF37RKkkSPvjgA1y+fBl37tzB1q1b0bBhQ3tFpCIo5djZO3fuWFu62AZF5HjlypVD8+bNATh3O5RWq8WwIYMxbMhgaLVa0XGKZFmMV61aNR5YQkROxWmOmyXnYiks4uLiZHWu+z9t3boV2dnZqF69Olq2bCk6DpFLssxZcIDbNtgGRUTOioUF3VdERAT8/f2RlZWF3bt3i45TaoVPg3L29gYipbK8AHbmOxZywsKCiJwVCwu6L5VKZR3ilms7lMFgwPr16wHwmFkikSx3LA4ePIj8/HzBae5Pr9dj5pdfYeaXX0Gv14uO80BcjEdEzoyFBT2Q3Ocsdu3ahevXr6NixYp49NFHRcchcll169ZFpUqVoNfr8ddff4mO80C5eXnIdfIN4WfOnLEuxrMcikJE5CxYWNADde3aFWq1GsnJyThz5ozoOCVmaYPq1auXQ5bwEdH9cVGe7XAxHhE5MxYW9EB+fn5o3749ANvftVCpVGge3AzNg5tBpbL9t6HJZLIeM8vToIjE46I822AbFBE5MxYWVCR7tUNpNBr07tkDvXv2sMvdhAMHDiA9PR1eXl7o3LmzzZ+fiEqGdyxsg4UFETkzFhZUJEthsWPHDuTk5AhOU3yWuxXdu3dnuwCRE4iIiIBKpUJaWhrS09NFx5GlnJwcHD58GAALCyJyTiwsqEiNGzdGrVq1kJ+fj+3bt9vsec1mM/R6PfR6Pcxms82e1/LclvkKtkEROQcvLy8EBwcDYDtUaSUkJHAxHhE5NRYWVCRJkuzSDlVQUIAZM2djxszZNl/Ad+LECZw8eRI6nc56ZC4RiefMcxaSJKFqYACqBgY47c4by7833q0gImfFwoIeqnBhYeu7C/ZguVvRpUsX+Pj4CE5DRBbOPGeh1WrxwvPD8cLzw6HVakXHuS/OVxCRs2NhQQ/1+OOPw8PDAxcuXMCRI0dEx3koy3wFl+IRORfLHYvExESnXkLnjLgYj4jkgIUFPZSHhweeeOIJAM6/LO/vv//GwYMHoVKp0KtXL9FxiKiQhg0bonz58rhz5w4OHTokOo6sWBbj6XQ6hIWFiY5DRHRfLCyoWOSyhXvt2rUAgEcffRT+/v5iwxDRPSRJcto5i4KCAnz1zXx89c18m8992ULhxXhubm6C0xAR3R8LCyoWS2Gxd+9eXL9+XXCaB+NpUETOzdLG42yFhdlsRmZmFjIzs5xyloxtUEQkBywsqFhq1qyJZs2awWQyYfPmzaLj3NeVK1ewe/duAECfPn3EhiGi+7LcsXDGAW5nxsKCiOSAhQUVmy3boVQqFRoHNULjoEZQqWzzbbh+/XqYzWa0bNkSNWvWtMlzEpFttWrVCpIk4ezZs7hy5YroOLLAxXhEJBcsLKjYLIVFbGwsjEZjmZ5Lo9Gg/9NPof/TT0Gj0dgiHtugiGTA19cXTZo0AeB87VDOyrIYr3r16qhevbroOERED8TCgoqtTZs28PPzw40bN5zuBUFmZia2bdsGgMfMEjk7Zx3gdlaWNijLvzciImfFwoKKTaPRIDIyEgAQExMjOM29fvvtNxQUFKBx48YICgoSHYeIiuDMi/KcEecriEguWFhQidhqzkKv1+ODT2bgg09m2GRRFpfiEcmH5Z33hIQEGAwGwWnukiQJ/pUqwb9SJUiSJDqOFRfjEZGc2Ka5nVxGVFQUJEnCoUOHcOHCBafo983Ly7PeQeF8BZHza9y4MXx8fJCVlYUjR46gRYsWoiNBq9VizOgXRMf4l9OnT+PatWtcjEdEssA7FlQi/v7+aN26NQDnaYfasmULcnNzUbNmTf7iJZIBlUpl/TnCOYuicTEeEckJCwsqMWfbwm05Deqpp55yqhYGInowzlkUD9ugiEhOWFhQiVkKi61bt+LOnTtCsxQUFGD9+vUAOF9BJCfOdjJUQUEBvo1ehG+jF6GgoEB0HCvLvx8WFkQkBywsqMRCQ0NRtWpV5Obm4o8//hCaZefOnbh58yb8/f3Rvn17oVmIqPgsrVCpqam4du2a4DR3h6SvXruGq9euwWw2i44DgIvxiEh+WFhQiUmShO7duwMQ3w5laYPq1asX1Gq10CxEVHwVKlRAo0aNAADx8fGC0zgnLsYjIrlhYUGlUnjOojTv7qlUKtSvVw/169WDSlW6b0OTyYS1a9cC4GlQRHLEOYuicb6CiOSGhQWVSufOnaHT6XDmzBmkpKSU+PEajQbPPtMfzz7THxpN6U493r9/Py5evAhvb2906tSpVM9BROI425yFs2FhQURyw8KCSsXLywuPPfYYAHHtUJaleE8++SSPYSSSIcsL5vj4eBiNRsFpnAsX4xGRHLGwoFKzzFmI2GdhNput8xVsgyKSp6ZNm8LLywvZ2dk4fvy46DhOpfBiPGdYIEhEVBwsLKjULHMWO3fuRFZWVokeq9fr8ekXs/DpF7Og1+tLfO1jx47h1KlTcHNzQ7du3Ur8eCIST61Wo1WrVgDEt0NJkgRfXx/4+vo4xT4cy92K8PBw3pElItlgYUGl1qBBAzRo0AAGgwFbtmwp8eMLCgpKfV685W5F165d4eXlVarnICLxLHMWoge4tVotxo99GePHvgytVis0C8D5CiKSJxYWVCaitnBb5iu4FI9I3jjAfX8sLIhIjlhYUJlYCouYmBiYTCaHXPPMmTNISkqCWq1Gz549HXJNIrIPS2Fx4sQJ3Lx5U3Aa55CdnW1djGf590NEJAcsLKhMOnToAC8vL1y5cgUHDx50yDUtdys6dOiASpUqOeSaRGQf/v7+qFevHoC7R0iLUlBQgEU/LsaiHxeXukXTVhISEmAymbgYj4hkh4UFlYlOp0OXLl0AOK4dylJY8DQoImVwhkV5ZrMZFy9dxsVLl0u19NOW2AZFRHLFwoLKzJFzFpcvX8aePXsAAH369LH79YjI/jhncS8WFkQkV6VbeUxUiGWfRUJCAq5cuYIqVao89DGSJKFWzRrWvy6udevWwWw2o1WrVmwRIFIIywvoffv2wWQyQaVy3fe8zGaztcBiYUFEcuO6P73JZgIDAxEWFgYA2LRpU7Eeo9VqMWzIYAwbMrhERztyKR6R8gQHB8PDwwOZmZlISUkRHUcoLsYjIjljYUE24Yh2qFu3bmH79u0AeMwskZJotVpEREQAEL/PQjQuxiMiOWNhQTZhaYeKi4uz24kqGzduhMFgQNOmTdGwYUO7XIOIxOCcxV2cryAiOWNhQTYRERGBSpUqISsrC3/++edDv16v12Pml19h5pdfQa/XF+saXIpHpFzOcDJUOQ8PlPPwEHZ9gIUFEckbCwuyCbVajW7dugEofjtUbl4ecvPyive1ubnW+Q3OVxApj+WOxbFjx5CVleXw6+t0Orw+YTxenzAeOp3O4dcH7l2Mx8KCiOSIhQXZjD3nLDZv3oy8vDzUqlULoaGhNn9+IhIrICAAtWvXhtlsFrooTyTLYrwaNWqgWrVqouMQEZUYCwuymcjISKjVapw4cQJnz5616XMXXopXkuNpiUg+XH3Ogm1QRCR3LCzIZvz8/NCuXTsAtr1rUVBQgA0bNgDgfAWRkhXeZ+FoBQUFWLJ0GZYsXWa3AygehoUFEckdCwuyKXu0Q+3YsQO3bt1C5cqV0bZtW5s9LxE5l8J3LMxms0OvbTabce58Gs6dT3P4tS3X52I8IpI7FhZkU5bC4vfff0dOTo5NntOyFK9Pnz5Qq9U2eU4icj6hoaFwc3PD9evXcerUKdFxHOrUqVO4du0a3NzcuBiPiGSLhQXZVJMmTVCrVi3k5+dbl9ndjyRJqBoYgKqBAUXOTJhMJqxduxYA26CIlE6n0yE8PByA6y3KK7wYT9SpVEREZcXCgmxKkqRitUNptVq88PxwvPD8cGi12gd+3b59+3D58mX4+PjgiSeesHleInIurjrAbSksLP/8RERyxMKCbK5wYVHWXmXLaVA9evTgu3hELsAZFuWJwMFtIlICFhZkc48//jjc3d1x4cIFHD16tNTPYzabrfMVXIpH5Bos79gfPnzYZnNazu727ds4cuQIABYWRCRvLCzI5jw8PKxtSw9qhyooKMBX38zHV9/Mf+DRjkeOHMGZM2fg7u6OqKgou+UlIudRvXp1VK9eHSaTCQkJCQ69tlarLbI10164GI+IlIKFBdnFw+YszGYzMjOzkJmZ9cB2KcvdisjISHh6etonKBE5HRFzFjqdDlMnT8LUyZMc3nbJNigiUgoWFmQXlsJiz549uHHjRqmew1JY8DQoItfianMW3F9BRErBwoLsolatWmjatClMJhM2b95c4sefOnUKR44cgVqtRs+ePe2QkIiclchFeY7GxXhEpCQsLMhuyrKF23Ia1OOPP44KFSrYNBcRObewsDBotVpkZGTg7NmzDrmmwWDA8l9XYfmvq2AwGBxyTYCL8YhIWVhYkN1YCovY2FgYjcYSPdZSWLANisj1uLu7W19kO2rOwmQy4dTp0zh1+jRMJpNDrglwMR4RKQsLC7Kbtm3bws/PD9evX0d8fHyxH3fx4kXrL9s+ffrYKR0ROTNXmbPg4DYRKQkLC7IbjUaDyMhIAP9uh5IkCf6VKsG/UiVIknTPn61btw7A3T7rqlWrOiYsETkVV9nAzcKCiJSEhQXZ1YPmLLRaLcaMfgFjRr/wr3PjuRSPiCwvtJOSkpCXlyc4jX1wMR4RKQ0LC7KrqKgoSJKEQ4cO4cKFCw/9+hs3bmDHjh0AOF9B5Mpq1qyJgIAAGAwGJCYmio5jF5bFeDVr1uTdWSJSBBYWZFf+/v5o3bo1ACAmJuahX79x40YYDAYEBwejfv369o5HRE5KkiTru/hKbYdiGxQRKQ0LC7K77t27A7i3sCgoKMC30YvwbfQiFBQUWD/P06CIyMIyZ6HUAW4WFkSkNBrRAUj5nnzySUybNg1bt25Ffn4+3NzcYDabcfXaNQCwLsDKyclBbGwsAM5XENG9hYXZbP7XQQ+2pNPpMO2tKXZ7/n8qvBjP8s9JRCR3vGNBdteiRQsEBgYiJycHf/zxxwO/LjY2Fnfu3EGdOnUQEhLiwIRE5IxatmwJtVqNS5cuIS0tTXQcm0pNTcX169e5GI+IFIWFBdmdJEnWdqiitnBb2qCefvppu74zSUTyUK5cOTRv3hyA8uYsuBiPiJSIhQU5ROFjZy2tT4Xp9Xps3LgRANugiOh/HLUoz2AwYNV/12DVf9fAYDDY9VoA5yuISJlYWJBDdO7cGVqtFqdPn8bJkyf/9ee///47MjMzERAQwH5jIrJy1KI8k8mEE8kpOJGcApPJZNdrASwsiEiZWFiQQ3h7e+Oxxx4DcP92KMtSvD59+kCl4rclEd1leeF98OBB5OfnC05jG7dv38bRo0cBsLAgImXhKzhymMLtUJIkwdfXB76+PjCZTFi3bh0AHjNLRPeqW7cuKlWqBL1ej7/++kt0HJvgYjwiUiq7FRYff/wx2rZti3LlysHPz69Yjxk+fDgkSbrnIyoqyl4RycEshcXOnTuRl5eH8WNfxvixL+PAgQO4cuUK/Pz80LFjR7EhicipFF6Up5R9FmyDIiKlslthodfr0b9/f4wZM6ZEj4uKisKlS5esHytWrLBTQnK0Bg0aoEGDBjAYDNiyZYv185bToHr06MHTUYjoXxw1Z+EoLCyISKnsVli8//77mDBhAoKDg0v0ODc3NwQEBFg/ypcvb6eEJELhdijg7pIoy3wFT4MiovtR0h2LwovxWFgQkdI43YzFjh07ULlyZTRq1AhjxozB9evXi/z6/Px8ZGVl3fNBzsuyzyIuLg7f/bAYc+d/iwsXLsDDwwORkZGC0xGRM4qIiIBKpUJaWhrS09NFxykTy2I8d3d3hIaGio5DRGRTTlVYREVF4aeffsK2bdvw2Wef4Y8//kC3bt1gNBof+JhPP/0Uvr6+1o8aNWo4MDGVVIcOHeDp6YmMjAxcunwZmZlZ1lmacuXKiY5HRE7Iy8vLevfbXu1QWq0WU16fiCmvT4RWq7XLNQAuxiMiZStRYTFlypR/DVf/8yM5ObnUYQYOHIhevXohODgYffr0wcaNG5GQkIAdO3Y88DFTp05FZmam9SMtLa3U1yf7c3NzQ5cuXf71ebZBEVFR7D1nIUkSdDoddDodJEmyyzUAzlcQkbJpSvLFkyZNwvDhw4v8mrp165Ylz7+eq1KlSjh16hQ6dep0369xc3ODm5ubza5J9vfkk0/es8tCo9FYZy+IiO6nTZs2WLhwoewHuFlYEJGSlaiw8Pf3h7+/v72y/MuFCxdw/fp1BAYGOuyaZH+WOQuLxx57jEP6RFQkyx2LAwcOQK/X27yNyGAw4LdNsQCAJ7tFQaMp0a/HYuFiPCJSOrvNWJw/fx5JSUk4f/48jEYjkpKSkJSUhOzsbOvXBAUFWY8azc7OxuTJk7Fv3z78/fff2LZtG3r37o369etzqFdhqlatiubNm1v/vlevXgLTEJEcNGjQAOXLl8edO3dw+PBhmz+/yWTCoSNHcejIUZhMJps/PwDs378fJpMJtWrV4htmRKRIdisspk2bhhYtWmD69OnIzs5GixYt0KJFCxw4cMD6NSkpKcjMzAQAqNVqHD58GL169ULDhg0xcuRIhIeHY9euXWx1UqDCiw/ZBkVED6NSqax3LeR67Kwlt+Wfg4hIaWx/r/f/LV68GIsXLy7ya8xms/WvPTw8sHnzZnvFISfzzDPPIDw8HJGRkZj21hTRcYhIBh555BFs2rQJ+/btw7hx40THKTHOVxCR0tmtsCAqSrNmzXDu3Dn4+vqKjkJEMiHnRXlcjEdErsCp9liQawkICICHh4foGEQkE61atYIkSTh79iyuXLkiOk6JnDx5Ejdu3OBiPCJSNBYWREQkC76+vmjSpAkA++2zsBdLXi7GIyIlY2FBRESyYe9FefbC+QoicgWcsSAiItlo06YNvv/+e5vPWWi1Wkwa/6r1r22NhQURuQIWFkREJBuWOxYJCQkwGAw2W2QnSRI8PcvZ5Ln+iYvxiMhVsBWKiIhko3HjxvDx8UFubi6OHDkiOk6xcDEeEbkKFhZERCQbKpUKrVu3BmDbOQuDwYCY2DjExMbBYDDY7HkBtkERketgYUFERLJij30WJpMJBw4exIGDB2EymWz2vAALCyJyHSwsiIhIVuR0MhQX4xGRK2FhQUREsmJphUpNTcW1a9cEpyla4cV4zZs3Fx2HiMiuWFgQEZGsVKhQAY0aNQIAxMfHC05TNEsbVMuWLbkYj4gUj4UFERHJjqWtyNnboThfQUSuhIUFERHJjmXOwtaL8mzNks+Sl4hIyVhYEBGR7FheqO/fvx9Go1FwmvvLysriYjwicincvE1ERLLTrFkzeHp64vbt2zh+/DiCg4PL9HxarRavvvyS9a9tYf/+/TCbzVyMR0Qug3csiIhIdtRqNVq1agXANnMWkiTBz88Pfn5+kCSpzM8HcL6CiFwPCwsiIpIleyzKsyXuryAiV8NWKCIikiVbLsozGo3YvuMPAMATHR+DWq0u0/NxMR4RuSLesSAiIlmyFBYnTpzAzZs3y/RcRqMRe+P3Y2+8bYbBuRiPiFwRCwsiIpIlf39/1KtXD8DdQWlnwsV4ROSKWFgQEZFsOeucBQe3icgVsbAgIiLZsuWchS2xsCAiV8TCgoiIZMvywn3fvn0wmUyC09zFxXhE5KpYWBARkWwFBwfDw8MDmZmZSElJER0HwP8W49WuXRsBAQGi4xAROQwLCyIiki2tVouIiAgAzjNnwTYoInJVLCyIiEjWbDFnodVq8dKokXhp1Ehotdoy5WFhQUSuigvyiIhI1grPWZSWJEmo7O9f5iwmk4mL8YjIZfGOBRERyVrr1q0BAEePHkVWVpbQLCdPnsTNmze5GI+IXBILCyIikrXAwEDUqlULZrMZCQkJpXoOo9GIHTt3YcfOXWXavF14MV5ZW6qIiOSGhQUREcleWRflGY1G7Nz9J3bu/tMmhQXboIjIFbGwICIi2XOWRXksLIjIlbGwICIi2Ss8wG02m4VkyMrKwrFjx+7JQ0TkSlhYEBGR7IWGhsLNzQ3Xr1/HqVOnhGTgYjwicnUsLIiISPZ0Oh3Cw8MBiFuUxzYoInJ1LCyIiEgRRM9ZsLAgIlfHwoKIiBShrCdDlQUX4xERcfM2EREphOWOxeHDh5GTkwNPT89iP1aj0WDk8GHWvy4py2I8Dw8PLsYjIpfFOxZERKQI1atXR/Xq1WEymUq8KE+lUqFa1UBUqxoIlarkvxq5GI+IiIUFEREpiKg5C85XEBGxsCAiIgUp7ZyF0WjEnn3x2LMvvlSbt1lYEBFxxoKIiBSk8B0Ls9kMSZKK9Tij0Yit238HALQMawG1Wl3sa2ZmZnIxHhEReMeCiIgUJCwsDFqtFhkZGTh79qxDrmlZjFenTh1UqVLFIdckInJGLCyIiEgx3N3d0aJFCwCOm7NgGxQR0V0sLIiISFEcPcDNwoKI6C4WFkREpCiOXJRXeDGepaAhInJVLCyIiEhRLC/wk5KSkJeXZ9drpaSk4NatW1yMR0QEFhZERKQwtWrVQkBAAAwGAxITE+16LcvdCi7GIyJiYUFERAojSVKJ5yw0Gg2GDh6EoYMHQaMp/knsnK8gIvofFhZERKQ4JZ2zUKlUqF2rFmrXqgWVqvi/GllYEBH9DwsLIiJSHMsdi71798JsNtvlGlyMR0R0LxYWRESkOC1btoRarcalS5eQlpb20K83Go1IOJCIhAOJMBqNxboGF+MREd2LhQURESlOuXLlrKc0FWfOwmg0YlPcFmyK21LswoJtUERE92JhQUREimTvfRYsLIiI7sXCgoiIFMmeG7gLL8ZjYUFEdBcLCyIiUiTLC/6DBw8iPz/fps9deDFeSEiITZ+biEiuWFgQEZEi1a1bF5UqVYJer8dff/1l0+e2tEFFRERwMR4R0f9jYUFERIokSZLd5iw4X0FE9G8sLIiISLHsNWfBwoKI6N80ogMQERHZi+WF/8MKC41Gg4ED+ln/uiiZmZk4fvw4gP8VLkRExMKCiIgUrGXLllCpVDh//jwuXryIqlWr3vfrVCoVGtavX6znjI+P52I8IqL7YCsUEREplre3N5o1awbAdu1QbIMiIro/FhZERKRoxRngNhqNSDp8GEmHDz908zb3VxAR3R8LCyIiUrTiDHAbjUas3xiD9RtjiiwsuBiPiOjBWFgQEZGiWQqAAwcOQK/Xl+m5uBiPiOjBWFgQEZGiNWjQAOXLl8edO3dw+PDhMj0XF+MRET0YCwsiIlI0lUplbYcq66I8Dm4TET0YCwsiIlI8Wy3KY2FBRPRgLCyIiEjxinMy1MMUXozHwoKI6N9YWBARkeK1atUKkiTh7NmzuHLlSqmew7IYr27duqhcubKNExIRyR8LCyIiUjxfX180adIEwP3boTQaDfo91Qf9nuoDjUZz3+dgGxQRUdHsVlj8/fffGDlyJOrUqQMPDw/Uq1cP06dPf+hRf3fu3MHYsWNRsWJFeHl5oW/fvqV+d4mIiMiiqDkLlUqFJo2D0KRxEFSq+/9qZGFBRFQ0uxUWycnJMJlMWLhwIY4dO4Yvv/wSCxYswFtvvVXk4yZMmIANGzZg1apV+OOPP3Dx4kU8/fTT9opJREQuoixzFlyMR0T0cJLZbDY76mJffPEFvv32W5w5c+a+f56ZmQl/f38sX74c/fr1A3C3QGncuDH27t1rfbepKFlZWfD19UVmZiZ8fHxsmp+IiOTr2LFjaNasGcqVK4fMzMx7Wp5MJhOSU04CAIIaNfzXXYvjx4+jadOm930sEZGSleS1tUNnLDIzM1GhQoUH/nliYiIKCgrQuXNn6+eCgoJQs2bNMp89TkRErq1x48bw8fFBbm4ujhw5cs+fGQwGrF6zFqvXrIXBYPjXYwsvxmNRQUR0fw4rLE6dOoWvv/4aL7744gO/5vLly9DpdPDz87vn81WqVMHly5fv+5j8/HxkZWXd80FERPRPKpUKrVu3BlDyfRacryAiergSFxZTpkyBJElFfiQnJ9/zmPT0dERFRaF///4YNWqUzcIDwKeffgpfX1/rR40aNWz6/EREpBylXZRnKSyK05JLROSqSnw/d9KkSRg+fHiRX1O3bl3rX1+8eBGPP/442rZti+jo6CIfFxAQAL1ej1u3bt1z1+LKlSsICAi472OmTp2KiRMnWv8+KyuLxQUREd1XaQa4b926xcV4RETFUOLCwt/fH/7+/sX62vT0dDz++OMIDw/Hjz/++MAj/CzCw8Oh1Wqxbds29O3bFwCQkpKC8+fPP/CHuZubG9zc3Er2D0FERC7J0gqVmpqK69evo2LFig99zP79+wGAi/GIiB7CbjMW6enp6NixI2rWrImZM2fi6tWruHz58j2zEunp6QgKCrL+0Pb19cXIkSMxceJE/P7770hMTMTzzz+PNm3a8PYzERGVWYUKFdCoUSMAxW+H4nwFEVHx2O1oiy1btuDUqVM4deoUqlevfs+fWU64LSgoQEpKCnJzc61/9uWXX0KlUqFv377Iz89HZGQk5s+fb6+YRETkYh555BGkpKRg3759ePLJJx/69SwsiIiKx6F7LByBeyyIiKgoCxcuxEsvvYROnTph69atAACj0Ygjx44BAIKbNoVarQZwd79FhQoVkJmZicTERISFhQnLTUQkQkleW/MwbiIicimW1tr9+/fDaDRCrVZDrVYjNCTkX1+bnJyMzMxMlCtXDiH3+XMiIvofhy7IIyIiEq1Zs2bw9PTE7du3rac9PQgX4xERFR8LCyIicilqtRqtWrUC8L8BbpPJhJOnTuHkqVMwmUzWr+V8BRFR8bGwICIil/PPfRYGgwG/rFyNX1auhsFgsH4dCwsiouJjYUFERC6nOBu4Cy/G45HnREQPx8KCiIhcjqVQOHHiBG7evHnfr4mPjwcA1KtXj4vxiIiKgYUFERG5HH9/f9SrVw/A/zZr/xPboIiISoaFBRERuaR/zln8EwsLIqKSYWFBREQuqag5C5PJZG2FYmFBRFQ8LCyIiMglWQqL+Pj4e46YBe7OXlgW4wUHB4uIR0QkO9z2Q0RELikkJAQeHh64desWTp8+jW5duwC4u+eCi/GIiEqOdyyIiMglabVatGzZEsDdAe6IluGIaBkOtVptbY9iGxQRUfGxsCAiIpf1oAFuDm4TEZUc7+8SEZHLsg5wx8fj73PnAAA+3t5cjEdEVAosLIiIyGVZCoeU5GT8tGwFAKBlaAgALsYjIioptkIREZHLCgwMRK1atWA2m62fsyzMYxsUEVHJsLAgIiKX9s8CgvsriIhKh4UFERG5tH/OUSQcOACAhQURUUmxsCAiIpf2zwIiKzMTnp6eXIxHRFRCLCyIiMilhYaGws3N7Z7PcTEeEVHJsbAgIiKXptPp0KJFi3s+xzYoIqKS49sxRETk8iIiIhC3KQYAYDKZWFgQEZUCCwsiInJ5bdq0wezZs61/z8V4REQlx1YoIiJyeYULifr168Pf319gGiIieeIdCyIicnlVq1ZFaIswZGRksA2KiKiUeMeCiIhcnkqlQmjzEFxMv4DOnTuLjkNEJEuS2Ww2iw5hS1lZWfD19UVmZiZ8fHxExyEiIpm4efMm9uzZg+7du0OSJNFxiIicQkleW7MVioiICED58uXx5JNPio5BRCRbbIUiIiIiIqIyY2FBRERERERlxsKCiIiIiIjKjIUFERERERGVGQsLIiIiIiIqMxYWRERERERUZiwsiIiIiIiozFhYEBERERFRmbGwICIiIiKiMmNhQUREREREZcbCgoiIiIiIyoyFBRERERERlRkLCyIiIiIiKjMWFkREREREVGYsLIiIiIiIqMxYWBARERERUZmxsCAiIiIiojJjYUFERERERGXGwoKIiIiIiMqMhQUREREREZUZCwsiIiIiIiozFhZERERERFRmLCyIiIiIiKjMWFgQEREREVGZsbAgIiIiIqIyY2FBRERERERlxsKCiIiIiIjKjIUFERERERGVGQsLIiIiIiIqM43oALZmNpsBAFlZWYKTEBERERHJm+U1teU1dlEUV1jcvn0bAFCjRg3BSYiIiIiIlOH27dvw9fUt8mskc3HKDxkxmUy4ePEivL29IUmSkAxZWVmoUaMG0tLS4OPjIyQDKQO/l8hW+L1EtsLvJbIVfi/Jg9lsxu3bt1G1alWoVEVPUSjujoVKpUL16tVFxwAA+Pj48H8Usgl+L5Gt8HuJbIXfS2Qr/F5yfg+7U2HB4W0iIiIiIiozFhZERERERFRmLCzswM3NDdOnT4ebm5voKCRz/F4iW+H3EtkKv5fIVvi9pDyKG94mIiIiIiLH4x0LIiIiIiIqMxYWRERERERUZiwsiIiIiIiozFhYEBERERFRmbGwsINvvvkGtWvXhru7O1q3bo39+/eLjkQy8+mnnyIiIgLe3t6oXLky+vTpg5SUFNGxSOZmzJgBSZLw2muviY5CMpSeno4hQ4agYsWK8PDwQHBwMA4cOCA6FsmM0WjEu+++izp16sDDwwP16tXDhx9+CJ4lpAwsLGzs119/xcSJEzF9+nQcPHgQzZs3R2RkJDIyMkRHIxn5448/MHbsWOzbtw9btmxBQUEBunbtipycHNHRSKYSEhKwcOFChISEiI5CMnTz5k20a9cOWq0WmzZtwvHjxzFr1iyUL19edDSSmc8++wzffvst5s2bhxMnTuCzzz7D559/jq+//lp0NLIBHjdrY61bt0ZERATmzZsHADCZTKhRowbGjRuHKVOmCE5HcnX16lVUrlwZf/zxBzp06CA6DslMdnY2wsLCMH/+fHz00UcIDQ3FnDlzRMciGZkyZQr+/PNP7Nq1S3QUkrkePXqgSpUq+P77762f69u3Lzw8PLB06VKBycgWeMfChvR6PRITE9G5c2fr51QqFTp37oy9e/cKTEZyl5mZCQCoUKGC4CQkR2PHjsWTTz55z88mopJYv349WrZsif79+6Ny5cpo0aIFvvvuO9GxSIbatm2Lbdu24eTJkwCAQ4cOYffu3ejWrZvgZGQLGtEBlOTatWswGo2oUqXKPZ+vUqUKkpOTBaUiuTOZTHjttdfQrl07NGvWTHQckplffvkFBw8eREJCgugoJGNnzpzBt99+i4kTJ+Ktt95CQkICXn31Veh0OgwbNkx0PJKRKVOmICsrC0FBQVCr1TAajfj4448xePBg0dHIBlhYEDm5sWPH4ujRo9i9e7foKCQzaWlpGD9+PLZs2QJ3d3fRcUjGTCYTWrZsiU8++QQA0KJFCxw9ehQLFixgYUElsnLlSixbtgzLly9H06ZNkZSUhNdeew1Vq1bl95ICsLCwoUqVKkGtVuPKlSv3fP7KlSsICAgQlIrk7JVXXsHGjRuxc+dOVK9eXXQckpnExERkZGQgLCzM+jmj0YidO3di3rx5yM/Ph1qtFpiQ5CIwMBBNmjS553ONGzfGf/7zH0GJSK4mT56MKVOmYODAgQCA4OBgnDt3Dp9++ikLCwXgjIUN6XQ6hIeHY9u2bdbPmUwmbNu2DW3atBGYjOTGbDbjlVdewZo1a7B9+3bUqVNHdCSSoU6dOuHIkSNISkqyfrRs2RKDBw9GUlISiwoqtnbt2v3ryOuTJ0+iVq1aghKRXOXm5kKluvflp1qthslkEpSIbIl3LGxs4sSJGDZsGFq2bIlWrVphzpw5yMnJwfPPPy86GsnI2LFjsXz5cqxbtw7e3t64fPkyAMDX1xceHh6C05FceHt7/2sux9PTExUrVuS8DpXIhAkT0LZtW3zyyScYMGAA9u/fj+joaERHR4uORjLTs2dPfPzxx6hZsyaaNm2Kv/76C7Nnz8aIESNERyMb4HGzdjBv3jx88cUXuHz5MkJDQzF37ly0bt1adCySEUmS7vv5H3/8EcOHD3dsGFKUjh078rhZKpWNGzdi6tSpSE1NRZ06dTBx4kSMGjVKdCySmdu3b+Pdd9/FmjVrkJGRgapVq2LQoEGYNm0adDqd6HhURiwsiIiIiIiozDhjQUREREREZcbCgoiIiIiIyoyFBRERERERlRkLCyIiIiIiKjMWFkREREREVGYsLIiIiIiIqMxYWBARERERUZmxsCAiIiIiojJjYUFERERERGXGwoKIiIiIiMqMhQUREREREZUZCwsiIiIiIiqz/wOSnscXHNZcvQAAAABJRU5ErkJggg==" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 6 + }, + { + "cell_type": "code", "source": [ - "plt_path = _plot_path(x, y, metric=\"erp\", title=\"erp path\")\n", + "plt_path = _plot_path(x, y, method=\"erp\", title=\"erp path\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"erp\", title=\"erp alignment\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"erp\", title=\"erp alignment\")\n", "plt_alignment.show()" ], "metadata": { @@ -285,36 +285,41 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:06.089499Z", - "start_time": "2023-10-12T12:51:05.134069Z" + "end_time": "2024-12-05T16:18:38.819174Z", + "start_time": "2024-12-05T16:18:38.120019Z" } - } - }, - { - "cell_type": "code", - "execution_count": 8, + }, + "id": "a90b5ab9de2a71e6", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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ZM6bAjw8MDIQkSbh69SoePXqk73hEZCZYLIiIiKzckiVLoNFo0L59e1SpUqXAj/fw8ICfnx8AjloQ6dOCBQsQGhoKtVotOkq+sFgQERFZMaVSieXLlwMo2KLtf+M6CyL9io+Px9SpU9GiRQvcu3dPdJx8YbEgIiKyYjt27EBcXBy8vb3Rs2fPQj8PiwWRfm3btg1qtRoNGjRApUqVRMfJFxYLIiIiK6ZdtD1y5EgoFIpCP0/Lli0hl8tx584dREVF6SsekdXatGkTAKB///6Ck+QfiwUREZGVunPnDg4ePAhJkgq1aDsvFxcXNG7cGADXWRAV1ZMnT3Sjf/369ROcJv9YLIiIiKzUkiVLAAAdO3ZExYoVi/x8nA5FpB/btm2DSqVCvXr1CrWhgigsFkRERFYoJycHK1asAFC0Rdt5tWnTBsCzYqHRaPTynETW6O+//wZgXtOgABYLIiIiq7Rt2zY8fvwYpUqVQrdu3fTynAEBAbC1tUVMTAxu376tl+cksjZPnz7FoUOHAJjXNCiAxYKIiMgqaRdtjxo1qkiLtvNydHSEv78/AE6HIiqsHTt2IDc3F3Xr1kW1atVExykQFgsiIiIrc+vWLRw5cgSSJGH06NF6fW6usyAqGu1uUOY2WgGwWBAREVmdxYsXAwA6d+6M8uXL6/W5tcUiODiY6yyICigpKQkHDx4EYH7rKwAWCyIiIquSnZ2NlStXAtDfou28mjRpAkdHR8THx+Pq1at6f34iS7Zjxw4olUrUqlUL1atXFx2nwFgsiIiIrMiWLVuQkJCAMmXKoEuXLnp/fltbW7Rs2RIAp0MRFZQ5HoqXF4sFERGRFdEu2h49ejRsbGwM8hp5t50lovxJTk7GgQMHALBYEBERkYm7fv06jh07BplMpvdF23lp11kcPXoUKpXKYK9DZEl27tyJnJwc1KhRAzVr1hQdp1BYLIiIiKyEdtF2165dUbZsWYO9Tv369eHq6ork5GRcuHDBYK9DZEnM9VC8vFgsiIiIrEBWVhZWrVoFwDCLtvOysbFBYGAgAE6HIsqPlJQU7Nu3D4B5bjOrxWJBRERkBf7++288ffoU5cqVQ6dOnQz+ejzPgij/du/ejezsbPj6+qJ27dqi4xQaiwUREZEVyLtoWy6XG/z1tMUiJCQEOTk5Bn89InOW91A8SZIEpyk8gxaL48ePo3v37ihdujQkScK2bdteef+jR49CkqT/fMTFxRkyJhERkUW7evUqQkJCIJfLMWrUKKO8Zq1ateDp6Yn09HScOXPGKK9JZI7S0tKwd+9eAOa9vgIwcLFIT0+Hn58fFixYUKDH3bhxAw8fPtR9lChRwkAJiYiILJ920bb2Yp8xyGQybjtLlA+7d+9GVlYWqlSpgrp164qOUyQGLRadO3fGN998g969exfocSVKlEDJkiV1HzIZZ2wREREVRmZmJlavXg3A8Iu2/43rLIheL++heOY8DQow0TUW9erVQ6lSpdChQweEhoaKjkNERGS2Nm7ciKSkJFSoUAEdO3Y06mtri0VYWBgyMzON+tpE5iA9PR179uwBYN67QWmZVLEoVaoUFi1ahM2bN2Pz5s3w8fFB69atcf78+Zc+Jjs7GykpKc99EBER0TPaRdtjxowx+gyAqlWrokyZMsjJyUFYWJhRX5vIHOzZsweZmZmoVKkS6tevLzpOkZlUsfD19cW4cePQsGFDBAQEYPny5QgICMCvv/760sfMmjULrq6uug8fHx8jJiYiIjJdly9fRnh4OGxsbDBy5Eijv74kSZwORfQKeQ/FM/dpUICJFYsXadKkCW7fvv3Sr8+cORPJycm6j+joaCOmIyIiMl3a0YqePXuiZMmSQjJoi0VwcLCQ1ycyVRkZGdi1axcAy5gGBQA2ogO8TkREBEqVKvXSr9vZ2cHOzs6IiYiIiExfeno61qxZA8D4i7bz0u4Mdfr0aaSmpsLZ2VlYFiJTsm/fPmRkZKBChQpo2LCh6Dh6YdBikZaW9txow927dxEREQF3d3eUK1cOM2fOxIMHD3S7Vfz222+oWLEiatWqhaysLCxduhRHjhzBgQMHDBmTiIjI4mzYsAEpKSmoVKkS2rVrJyxH+fLlUalSJURGRuLEiRPo0qWLsCxEpsRSDsXLy6BToc6ePYv69evrFqO88847qF+/Pj777DMAwMOHDxEVFaW7f05ODmbMmIE6deogMDAQFy9exKFDh4R+QyQiIjJH2mlQY8eOFb5tO9dZED0vMzMTO3fuBGD+h+LlJWk0Go3oEPqUkpICV1dXJCcnw8XFRXQcIiIio4uIiED9+vWhUCgQExMj/KDZ9evXY9CgQahfv/4rd3okshbbtm1D7969Ua5cOdy7d8+kRywK8t7a5BdvExERUcFoRyt69+4tvFQA/7/OIiIiAk+fPhWchkg8S5wGBbBYEBERWZS0tDT8+eefAMQu2s6rZMmSqFmzJjQaDY4dOyY6DpFQWVlZumlQlrIblBaLBRERkQVZv349UlNTUbVqVd1IgSngOguiZw4cOIDU1FSULVsWTZs2FR1Hr1gsiIiILMiiRYsAPFu0bUpTLLQlh8WCrJ32ULx+/foJ31hB3yzrd0NERGTFzp49i/Pnz8PW1hbDhw8XHec5gYGBkCQJ//zzD+Li4kTHIRIiOzsb27dvB2B506AAFgsiIiKLoV203bdvX3h6egpO8zwPDw/Uq1cPAE/hJut16NAhpKSkoHTp0vD39xcdR+9YLIiIiCxASkoK1q9fD8B0Fm3/G9dZkLXT7gbVt29fi5sGBbBYEBERWYQ///wT6enpqF69Olq1aiU6zguxWJA1y8nJ0U2DsqRD8fJisSAiIjJzGo3muZO2TWnRdl4tW7aEXC5HZGQk7t+/LzoOkVEdPnwYSUlJKFmyJAICAkTHMQgWCyIiIjN3+vRpXLx4EXZ2dhg2bJjoOC/l7OyMJk2aAOA6C7I+eadByeVywWkMg8WCiIjIzGlHK/r37w93d3fBaV6N286SNVIqldi2bRsAy9wNSovFgoiIyIwlJSXhr7/+AmC6i7bzyrvOQqPRCE5DZBxHjhxBYmIivL290bJlS9FxDIbFgoiIyIytXbsWmZmZqFmzJpo3by46zmsFBATA1tYWDx48wK1bt0THITIK7aF4ffr0sdhpUACLBRERkdnKu2h73LhxJrtoOy8HBwfdwlVOhyJroFQqsXXrVgCWPQ0KYLEgIiIyW+Hh4bhy5Qrs7e0xZMgQ0XHyjdvOkjU5duwYnjx5Ai8vL5PdClpfWCyIiIjMlHa0YsCAAShevLjgNPmnLRZHjx6FWq0WnIbIsLS7QfXu3Rs2NjaC0xgWiwUREZEZSkxMxMaNGwGYx6LtvBo3bgxHR0fEx8fj6tWrouMQGUxubq5uGpSlHoqXF4sFERGRGVq9ejWysrJQp04dNGvWTHScArG1tdXtjMPpUGTJjh8/jvj4eHh4eKB169ai4xgciwUREZGZMcdF2//GdRZkDaxpGhTAYkFERGR2QkJCcO3aNTg6OmLw4MGi4xRK3nUWubm5gtMQ6Z9KpcKWLVsAWP5uUFosFkRERGZGO1oxcOBAuLq6Ck5TOPXr14erqytSUlJw4cIF0XGI9O7EiRN4/Pgx3N3ddUXa0rFYEBERmZEnT57oDtsyt0Xbecnlct2cc06HIkuk/X/aq1cvKBQKwWmMg8WCiIjIjKxatQrZ2dmoV68eGjduLDpOkWiv4gYHBwtOQqRfKpUKmzdvBmA906AAFgsiIiKzodFosHjxYgDmu2g7rzZt2gB4NmUkJydHcBoi/QkLC0NcXBzc3NzQrl070XGMhsWCiIjITBw7dgw3btyAk5MTBg0aJDpOkdWqVQteXl7IyMjA6dOnRcch0hvtblA9e/aEra2t4DTGw2JBRERkJrSLtgcNGgQXFxfBaYpOJpPpRi24zoIshVqt1k2DsoZD8fJisSAiIjID8fHxujcr5rxo+994ngVZmvDwcMTGxsLFxQXt27cXHceoWCyIiIjMwMqVK6FUKtGwYUM0bNhQdBy90RaL8PBwZGZmCk5DVHR5p0HZ2dkJTmNcLBZEREQmTq1WP7do25JUqVIFZcuWRU5ODsLCwkTHISqSvNOgrGk3KC0WCyIiIhMXHByM27dvw9nZGW+++aboOHolSRKnQ5HFOHXqFGJiYuDs7IyOHTuKjmN0LBZEREQmTrtoe/DgwShWrJjgNPrHBdxkKbSH4vXo0QP29vaC0xgfiwUREZEJe/ToEbZu3QrA8qZBaWmLxZkzZ5CSkiI4DVHhaDQaXbGwxmlQAIsFERGRSVuxYgVyc3PRtGlT+Pn5iY5jEOXLl0flypWhUqlw4sQJ0XGICuXMmTOIiopCsWLFEBQUJDqOECwWREREJkqtVmPJkiUALHe0QovrLMjcaXeD6tatGxwcHASnEYPFgoiIyEQdOnQIkZGRcHV1xYABA0THMSgWCzJneadBWduheHmxWBAREZko7aLtIUOGwNHRUXAaw9Kus7h48SKePHkiOA1RwZw7dw737t2Do6MjOnXqJDqOMCwWREREJujhw4fYvn07AMufBgUA3t7eqFWrFjQaDY4dOyY6DlGB5J0GZekXAV6FxYKIiMgELV++HCqVCgEBAahdu7boOEbBbWfJHHE3qP/HYkFERGRiVCqV1SzazovrLMgcXbhwAZGRkXBwcECXLl1ExxGKxYKIiMjEHDhwAPfv30fx4sWtaiFoYGAgJEnCtWvX8PDhQ9FxiPJFO1rRtWtXODk5CU4jFosFERGRidEu2h46dKhVbVvp7u6O+vXrAwCCg4MFpyF6PY1Go1tfYe3ToAAWCyIiIpPy4MED7Nq1C4B1TYPS4nQoMieXLl3C7du3YW9vj65du4qOIxyLBZEJi4mJwalTp0THICIjWrZsGVQqFVq2bIkaNWqIjmN02mLBEQsyB9rRis6dO6NYsWKC04jHYkFkotLS0hAQEAB/f3+EhYWJjkNERqBSqbB06VIA1jlaAQAtWrSAXC5HZGQk7t27JzoO0UvlnQZlTWuhXoXFgshEffvtt4iOjoZGo8Gvv/4qOg4RGcHevXsRHR0NDw8P9O3bV3QcIZydndGkSRMAHLUg03blyhXcvHkTdnZ26Natm+g4JoHFgsgE3bx5Ez///LPu861btyIqKkpgIiIyBu2i7WHDhsHe3l5wGnG4zoLMgXa0olOnTnB2dhacxjSwWBCZGI1Gg7fffhtKpRKdOnVCmzZtoFKpsGDBAtHRiMiAoqOjsWfPHgDA2LFjBacRK2+x0Gg0gtMQvRgPxfsvFgsiE7Nr1y7s3bsXCoUCc+bMwbRp0wAAS5YsQXp6uuB0RGQoS5cuhVqtRuvWreHr6ys6jlD+/v6ws7NDbGwsbt68KToO0X9cvXoV165dg62tLbp37y46jslgsSAyIVlZWXj77bcBAO+88w6qVauGbt26oWLFikhMTMTatWvFBiQig8jNzbX6Rdt5OTg4ICAgAADXWZBp0o5WBAUFwdXVVXAa08FiQWRCZs+ejcjISJQuXRqffPIJAEAul2PKlCkAgLlz53JaAJEF2r17N2JjY+Hp6YnevXuLjmMSuM6CTBkPxXsxFgsiE3H//n189913AJ4VjLz7YY8cORLFihXDP//8g0OHDomKSEQGol20PWLECNjZ2QlOYxratGkD4NmIhVqtFpyG6P9du3YNV69ehUKhQI8ePUTHMSksFkQm4t1330VmZiZatWqFgQMHPvc1V1dXDB8+HMCzUQsishz37t3Dvn37AHDRdl6NGzeGk5MTEhIScOXKFdFxiHS006A6dOgANzc3sWFMDIsFkQk4fPgw/v77b8hkMsybNw+SJP3nPtrpULt378bt27eNHZGIDGTp0qXQaDRo164dqlSpIjqOybC1tUXLli0BcDoUmRZtseCheP/FYkEkmFKp1JWGiRMnom7dui+8X7Vq1dClSxdoNBrMmzfPmBGJyECUSiWWLVsGgIu2X4TrLMjU3Lx5E5cuXYKNjQ2nQb0AiwWRYPPnz8e1a9fg6emJr7766pX31W49u2LFCqSkpBgjHhEZ0M6dOxEXF4cSJUqgZ8+eouOYHG2xOHbsGHJzcwWnIfr/Rdvt27eHu7u74DSmh8WCSKC4uDh8/vnnAIBZs2ahePHir7x/hw4dUL16daSmpmLFihXGiEhEBqRdtD1y5EjY2toKTmN66tWrBzc3N6SkpODChQui4xDxULzXYLEgEujDDz9EamoqGjVqhJEjR772/pIkYerUqQCAefPmQaVSGToiERlIZGQkDhw4AAAYM2aM4DSmSS6Xo3Xr1gA4HYrEu337NiIiIiCXy9GrVy/RcUwSiwWRIOHh4Vi1ahWAZ9OhZLL8/XccOnQo3NzccOfOHezZs8eQEYnIgJYsWQIA6NixIypVqiQ4jenSbjvLYkGiaUcr2rZtCw8PD8FpTBOLBZEAKpUKkydPBvBs3/qmTZvm+7FOTk4YPXo0AGDOnDkGyUdEhpWTk4Ply5cD4KLt19Guszhx4gRycnIEpyFrpl1fwd2gXo7FgkiAZcuW4fz583B1dcWsWbMK/PjJkydDJpPh8OHD3N+dyAxt374djx8/RsmSJdG9e3fRcUxarVq14OXlhczMTJw6dUp0HLJSkZGROH/+PORyOXr37i06jslisSAysqdPn+Kjjz4CAHz55Zfw9vYu8HOUL19eN7+TW88SmR/tou1Ro0ZBoVAITmPaJEnitrMknHYaVOvWreHp6Sk4jelisSAysk8//RRPnjxBrVq1MHHixEI/j3br2TVr1uDp06f6ikdEBnb79m0cPnwYkiRx0XY+sViQaDwUL39YLIiMKCIiAosWLQLwbKShKFcqW7ZsiXr16iEzM1O3CJSITN/ixYsBAJ06dUL58uUFpzEP2mJx8uRJZGRkCE5D1ubevXs4c+YMZDIZp0G9BosFkZFoNBpMmTIFarUab7zxhm6nk8LKu/XsggULeHgUkRnIzs7WnUHDRdv5V7lyZfj4+CAnJwdhYWGi45CV0Y5WBAYGokSJEoLTmDYWCyIjWbduHUJCQuDo6IjZs2fr5TnffPNNeHl5ITo6Glu3btXLcxKR4WzduhUJCQkoU6YMunbtKjqO2ZAkidvOkjA8FC//WCyIjCA1NRXvvfceAODjjz+Gj4+PXp7X3t5ed9WTW88Smb68i7ZtbGwEpzEvXGdBIkRFReHUqVOQJAl9+vQRHcfksVgQGcHXX3+Nhw8fokqVKpgxY4Zen3vChAmwsbFBaGgozp07p9fnJiL9uXHjBo4ePQqZTKY7i4byTzticebMGSQnJwtOQ9Zi8+bNAJ6tayxZsqTgNKaPxYLIwK5fv45ff/0VAPDbb7/Bzs5Or89funRpvPHGGwA4akFkyrSLtrt06aK3UUtrUq5cOVSpUgVqtRonTpwQHYesBA/FKxgWCyID0mg0mDZtGnJzc9G1a1eDzanWbj37119/IS4uziCvQUSFl5WVhZUrVwLgou2i4HQoMqaYmBiEh4dzGlQBsFgQGdD27dtx4MAB2Nra4rfffjPY6zRp0gTNmjWDUqnUzeEmItOxefNmPH36FD4+PujcubPoOGZLWyyCg4MFJyFroJ0G1bx5c5QuXVpwGvPAYkFkIJmZmZg+fToA4N1330WVKlUM+nraUYuFCxciOzvboK9FRAWjLfyjR4+GXC4XnMZ8tW7dGsCzM4GePHkiNgxZPB6KV3AsFkQG8uOPP+LevXsoW7YsPvroI4O/Xt++fVG6dGk8evQIGzduNPjrEVH+/PPPPzhx4gTkcjlGjRolOo5Z8/b2Rq1atQAAR48eFRuGLFpsbCxCQ0MBgNOgCsCgxeL48ePo3r07SpcuDUmSsG3bttc+5ujRo2jQoAHs7OxQpUoV3ZxUInNy7949fP/99wCAn3/+GU5OTgZ/TYVCgYkTJwJ4tohbo9EY/DWJ6PW0i7a7deuGMmXKCE5j/rjOgoxh8+bN0Gg0CAgIQNmyZUXHMRsGLRbp6enw8/PDggUL8nX/u3fvomvXrmjTpg0iIiLw9ttvY/To0di/f78hYxLp3TvvvIOsrCy0adPGqEOoY8eOhZ2dHc6dO8fTaYlMQGZmJlatWgWAi7b1hcWCjIGH4hWOpDHSZU1JkrB161b06tXrpff54IMPsHv3bly5ckV328CBA5GUlIR9+/bl63VSUlLg6uqK5ORkuLi4FDU2UYEdOHAAQUFBkMvliIiIQO3atY36+qNGjcLy5cvRv39/TokiEmz16tUYNmwYypcvjzt37nB9hR4kJibCw8MDGo0GDx484KJa0ruHDx+iTJky0Gg0uH//PsqVKyc6klAFeW9tUmsswsPD0b59++duCwoKQnh4+Esfk52djZSUlOc+iETJycnB1KlTAQCTJ082eqkA/n8R95YtWxAdHW301yei/6ddtD1mzBiWCj0pXrw4GjRoAIDrLMgwtm7dCo1Gg6ZNm1p9qSgokyoWcXFx8Pb2fu42b29vpKSkIDMz84WPmTVrFlxdXXUfPHSIRJo7dy5u3LiBEiVK4IsvvhCSoW7dumjdujVUKlW+pyESkf5duXIFYWFhsLGxwciRI0XHsSicDkWGxEPxCs+kikVhzJw5E8nJyboPXqElUWJjY/Hll18CAL7//nu4ubkJy6IdtVi8eDEyMjKE5SCyZtrRih49eqBUqVKC01iWNm3aAGCxIP179OgRjh8/DoDrKwrDpIpFyZIl8ejRo+due/ToEVxcXODg4PDCx9jZ2cHFxeW5DyIRPvjgA6SlpaFp06YYNmyY0Czdu3dHxYoVkZiYiD///FNoFiJrlJGRgTVr1gDgom1DaNGiBWxsbHD37l3cvXtXdByyIFu3boVarUbjxo1Rvnx50XHMjkkVC39/fxw+fPi52w4ePAh/f39BiYjyJyQkBGvXroUkSZg3bx5kMrH/teRyOSZPngyAW88SibBhwwYkJyejUqVK/1k7SEXn7OyMJk2aAOAp3KRfPBSvaAz67ictLQ0RERGIiIgA8Gw72YiICERFRQF4No1p6NChuvuPHz8ekZGReP/993H9+nX8/vvv2Lhxo+70YiJTpFKpMGXKFADPdmRq3Lix4ETPjBw5Ek5OTrh69SqnCxAZWd5F26IvNFgqrrMgfYuPj9cVVU6DKhyDfrc7e/Ys6tevj/r16wN4trd//fr18dlnnwF4tp2XtmQAQMWKFbF7924cPHgQfn5++Pnnn7F06VIEBQUZMiZRkSxevBgRERFwc3PDd999JzqOjpubm25K1pw5cwSnIbIeFy9exKlTp2BjY4MRI0aIjmOx8hYLjsqSPmzbtg1qtRoNGzZExYoVRccxS0Y7x8JYeI4FGVNCQgKqVauGxMREzJs3Tzf9yFTcuHED1atXhyRJuHXrFipXriw6EpHFmzhxIhYuXMizZAwsKysLbm5uyM7OxvXr1+Hr6ys6Epm5jh074uDBg5g1axY+/PBD0XFMhtmeY0Fkbj755BMkJiaibt26GD9+vOg4/+Hr64tOnTpBo9Fg3rx5ouMQWby0tDSsXbsWABdtG5q9vT2aN28OgNOhqOgSEhJ0/444DarwWCyICuncuXNYvHgxAGDevHmwsbERnOjFtFvPLl++nAdIEhnY+vXrkZqaiipVqui2RCXD4bazpC/bt2+HSqVCvXr1UKVKFdFxzBaLBVEhqNVqTJkyBRqNBm+++SZatWolOtJLdezYEb6+vkhNTcXKlStFxyGyaNpF22PHjuWibSPQrrMIDg6GWq0WnIbMGQ/F0w9+1yMqhLVr1yI8PBxOTk746aefRMd5JZlMhqlTpwJ4NrLCH75EhnHu3DmcO3cOtra2GD58uOg4VqFx48ZwcnLCkydPcPnyZdFxyEw9ffpUd9wBp0EVDYsFUQElJyfj/fffBwB8+umnKFOmjOBErzd06FC4urri9u3b2Lt3r+g4RBZJO1rRp08feHl5CU5jHRQKhW7EmNOhqLC2b9+O3Nxc1K1bF9WqVRMdx6yxWBAV0FdffYVHjx6hWrVqePvtt0XHyZdixYph9OjRALj1LJEhpKSkYN26dQC4aNvYeJ4FFRUPxdMfFguiAvjnn38wd+5cAM/eoNvZ2QlOlH+TJ0+GTCbDwYMH8c8//4iOQ2RR1q1bh/T0dPj6+iIwMFB0HKuiLRbHjx9Hbm6u4DRkbpKSknDw4EEAnAalDywWRPmk0WgwdepU5ObmokePHujUqZPoSAVSoUIF9OjRAwB05YiIik6j0Ty3aFuSJMGJrIufnx+KFy+OlJQUnD9/XnQcMjM7duyAUqlE7dq1Ub16ddFxzB6LBVE+bdmyBYcPH4adnR1+/fVX0XEKRbv17OrVq/H06VPBaYgsw5kzZxAREQE7OzvdafdkPHK5XDdKxOlQVFDa3aA4WqEfLBZE+ZCRkYF33nkHAPD++++jUqVKghMVTmBgIOrWrYvMzEwsXbpUdBwii6AdrejXrx88PDwEp7FOXGdBhZGcnIwDBw4A4PoKfWGxIMqH77//HlFRUShXrhw+/PBD0XEKTZIk3ajF/PnzOR+ZqIiSk5Px119/AeCibZG0xSIkJATZ2dmC05C52LlzJ3JyclCjRg3UrFlTdByLwGJB9BqRkZH48ccfAQC//PILHB0dBScqmkGDBsHT0xPR0dHYtm2b6DhEZm3t2rXIyMhAjRo10KJFC9FxrFbNmjVRokQJZGZm4tSpU6LjkJngoXj6x2JB9BrTp09HdnY22rdvjz59+oiOU2T29va6K6vcepao8PIu2h43bhwXbQskSRKnQ1GBpKSkYP/+/QBYLPSJxYLoFfbu3YsdO3bAxsYGc+fOtZg3DhMnToSNjQ1CQkK4iwpRIZ08eRKXL1+Gvb09hg4dKjqO1dMWi+DgYMFJyBzs2rUL2dnZ8PX1Ra1atUTHsRgsFkQvkZ2drVuPMHXqVNSoUUNwIv0pXbq07goNt54lKhztaMUbb7yB4sWLC05Dbdq0AQCEh4cjIyNDcBoydXkPxbOUi4amgMWC6CV+++033Lp1C97e3vj8889Fx9E7bWlav349Hj16JDgNkXlJTEzEhg0bAHDRtqmoXLkyfHx8oFQqERoaKjoOmbC0tDTs3bsXALeZ1TcWC6IXePDgAb7++msAwI8//ggXFxfBifSvadOmaNKkCXJycnRXXokof9asWYOsrCzUrl0b/v7+ouMQuM6C8m/37t3IyspC1apVUbduXdFxLAqLBdELvPfee0hPT0dAQAAGDx4sOo7BaEctFi5ciJycHMFpiMwDF22bLhYLyo+8h+Lx/69+sVgQ/cuxY8ewfv16SJKEefPmQSaz3P8m/fr1Q6lSpRAXF4eNGzeKjkNkFkJDQ/HPP//A0dERQ4YMER2H8tCuszh79iySk5MFpyFTlJ6ejj179gDgblCGYLnvmIgKITc3F1OmTAEAjB07Fg0aNBCcyLBsbW0xceJEAM+2ntVoNIITEZk+7WjFwIED4erqKjgN5eXj44OqVatCrVbjxIkTouOQCdqzZw8yMzNRqVIl1KtXT3Qci8NiQZTHokWLcPnyZbi7u+Pbb78VHccoxo0bBzs7O5w9exbh4eGi4xCZtCdPnuimUXDRtmnidCh6lbyH4nEalP6xWBD9T3x8PD799FMAwDfffAMPDw/BiYzDy8sLgwYNAsAD84heZ/Xq1cjOzka9evXQuHFj0XHoBbTToVgs6N8yMjKwe/duAJwGZSgsFkT/89FHHyEpKQn16tXD2LFjRccxKu0i7s2bNyMmJkZwGiLTxEXb5qF169YAgIsXLyIhIUFsGDIpe/fuRUZGBipUqGDxU51FYbEgAnDmzBksW7YMADB//nzI5XLBiYzLz88PgYGBUKlU+P3330XHITJJx48fx40bN+Dk5KQb5SPT4+3tjdq1awMAjh49KjYMmRQeimd4LBZk9dRqNSZPngyNRoMhQ4agefPmoiMJoR21WLx4MTIzMwWnITI92tGKQYMGWeTZNpaE6yzo3zIzM7Fz504APBTPkFgsyOqtXLkSp0+fhrOzM3744QfRcYTp0aMHypcvjydPnuDPP/8UHYfIpCQkJGDz5s0AuGjbHLBY0L/t378f6enpKFeuHNdHGRCLBVm1pKQkfPjhhwCAzz77DKVKlRKcSBy5XI7JkycD4NazRP+2cuVK5OTkoGHDhmjYsKHoOPQagYGBkMlkuHHjBmJjY0XHIRPAQ/GMg8WCrNoXX3yB+Ph4VK9eHVOnThUdR7hRo0bB0dERV65cQXBwsOg4RCZBo9Fg8eLFADhaYS7c3Nx0i3P5vYyysrJ006C4G5RhsViQ1bpy5Qrmz58PAJg7dy5sbW0FJxKvePHiGDZsGABuPUukFRwcjFu3bsHZ2Rlvvvmm6DiUT9x2lrQOHDiA1NRUlC1bFk2aNBEdx6KxWJBV0mg0mDJlClQqFfr06YMOHTqIjmQytCM3O3fuxJ07dwSnIRJPu2j7rbfeQrFixQSnofziOgvSyjsNSibjW19D4p8uWaWNGzfi6NGjsLe3x88//yw6jkmpXr06goKCoNFodCM6RNbq8ePH2Lp1KwBOgzI3LVq0gI2NDe7du4e7d++KjkOCZGdnY8eOHQA4DcoYWCzI6qSnp+Pdd98FAHz44YeoUKGC2EAmSLv17PLly5Gamio4DZE4K1asgFKpRJMmTVCvXj3RcagAihUrhqZNmwLgqIU1O3jwIFJSUlCmTBk0a9ZMdByLx2JhAFFRUfjxxx+hUqlER6EX+O677xATE4MKFSrg/fffFx3HJAUFBaFatWpISUnBqlWrRMchEkKtVnPRtpnjdCjSHorXt29fToMyAv4J65larcbw4cPxwQcfIDAwEJGRkaIjUR63b9/G7NmzAQC//vorHBwcBCcyTTKZTLfWYu7cuVCr1YITERnf4cOHERkZCRcXFwwYMEB0HCoEbbEIDg7mFtpWKCcnB9u3bwfAQ/GMhcVCz5RKJVq374gvv52F06dPw8/PD8uWLeM3NBPx9ttvIycnB0FBQejZs6foOCZt6NChcHFxwa1bt7Bv3z7RcYiMTrtoe8iQIXBychKchgqjWbNmsLe3x8OHD3Hjxg3RccjIDh8+jKSkJJQqVQrNmzcXHccqsFjoWd5DVwKaN0daWhpGjx6N3r174/HjxwKT0a5du7B7924oFArMmTOHB+S8hrOzM0aNGgWAW8+S9YmLi9Nd6eQ0KPNlb2+PgIAAAJwOZY20u0H16dOH06CMhH/KBrR3zx78+OOPUCgU2L59O+rUqaM7oIWMKysrC2+//TaAZ6MWvr6+YgOZicmTJ0OSJBw4cADXrl0THYfIaJYvX47c3Fz4+/ujTp06ouNQEXCdhXVSKpXYtm0bAO4GZUwsFgYkl8vx3nvv4cyZM6hduzYeP36MHj16YOzYsUhLSxMdz6r88ssvuHPnDkqVKoVPP/1UdByzUalSJfTo0QPAs7UWRNZArVZjyZIlADhaYQnyrrPgejHrceTIESQmJsLb2xstWrQQHcdqsFgYgZ+fH86cOYN3330XkiRhyZIl8PPzQ1hYmOhoViE6OhrffvstAOCnn36Cs7Oz4ETmRbv17OrVq5GYmCg4DZHhHThwAPfu3YObmxveeOMN0XGoiBo1aoRixYrh6dOnuHTpkug4ZCR5p0HJ5XLBaawHi4WR2Nvb46effsKRI0dQrlw5REZGomXLlvjkk0+Qk5MjOp5Fe/fdd5GRkYEWLVpg0KBBouOYndatW6Nu3brIyMjA0qVLRcchMjjtou2hQ4dy5zgLoFAo0KpVKwCcDmUtlEql7mBL7gZlXCwWRta6dWtcunQJQ4YMgVqtxrfffgt/f3/OXzeQI0eOYOPGjZDJZJg/fz4XbBeCJEm6rWfnz5+P3NxcwYmIDCc2Nla3Fo7ToCxH3ulQZPmOHj2Kp0+fwsvLS1cqyThYLPRMJpOhSuXKqFK58kt3IHB1dcXq1auxceNGuLu74/z582jQoAHPC9AzpVKpe0M8YcIE+Pn5CU5kvgYNGgQPDw9ERUVhx44douMQGcyyZcugUqnQokUL1KxZU3Qc0pM2bdoAAI4dO8aLI1ZAeyhenz59YGNjIziNdWGx0DMbGxsMGtAfgwb0f+0/5v79++Py5cvo2LEjsrKyMG3aNAQFBSEmJsZIaS3bggULcPXqVXh4eOCrr74SHcesOTg46K7ecutZslQqlYqLti2Un58fihcvjtTUVJw7d050HDKg3NxcbNmyBQCnQYnAYiFY6dKlsW/fPsyfPx8ODg44dOgQ6tSpgw0bNoiOZtYePXqEzz//HADw3Xffwd3dXXAi8zdhwgTI5XIcP34cERERouMQ6ZVarca6desQHR0Nd3d3viGxMHK5HK1btwbAdRaW7vjx40hISICHh4fu75yMh8XCBEiShEmTJuH8+fNo1KgRkpKSMHDgQLz11lvchaeQZs6ciZSUFDRs2FB3yBsVTdmyZXVvtjhqQZYgISEB69evx7Bhw1C6dGmMHDkSTZr5Y8y4cbC3txcdj/SM51lYB+1uUL179+Y0KAEkjUajER1Cn1JSUuDq6ork5GS4uLgY/fVzcnLw85x5AIAZ06bA1ta2QI9XKpX45ptv8O2330KlUqFs2bJYuXIl2rVrZ4i4FunkyZPw9/cHAISHh6NZs2aCE1mO8PBwBAQEwNbWFtHR0ShRooToSET5plKpcPr0aezbtw/79u3DmTNnkPdHYKPGTdC9V2/Y29tj2qQJsLOzE5iW9O2ff/5BrVq1YG9vj6SkJP79WiCVSoXSpUvj8ePH2L9/Pzp27Cg6kkUoyHtrjlgYgFKphFKpLNRjFQoFvvzyS4SEhKBKlSqIiYlB+/btMX36dGRmZuo5qeVRqVSYPHkyAGD48OEsFXrWrFkzNG7cGDk5ObotOYlMWWxsLFasWIEBAwbAy8sLAQEB+Oqrr3D69GloNBrUrVsX77//Po4cOYITx4/B3b04srKycObcedHRSc9q1KgBb29vZGVl4dSpU6LjkAGcOHECjx8/hru7u27BPhkXi4WJatasGSIiIjB+/HgAwG+//YZGjRrhwoULgpOZtuXLl+PcuXNwcXHB999/LzqOxZEkSXdg3u+//84zWMjk5OTkIDg4GB988AH8/PxQpkwZjBw5Ehs3bkRiYqLu0Lvly5fjwYMHuHjxIn744Qe0adMG9vb2aNWiOQAg/NQpZGdnC/7dkD5JksTpUBZOOw2qV69eUCgUgtNYJxYLE+bk5ISFCxdi165d8Pb2xj///IOmTZti1qxZUKlUouOZnMTERHz00UcAgC+++ALe3t6CE1mm/v37o1SpUoiLi9N9EycS6e7du1i0aBF69uwJDw8PtG3bFj/++CMuXboESZLQpEkTfPbZZwgLC0N8fDw2bNiAESNGoHTp0v95rto1a8LD3R2ZmVk4fZa7B1ka7VVsFgvLo1KpuBuUCWCxMANdu3bF5cuX0bt3byiVSnz00UcIDAxEZGSk6Ggm5bPPPkNCQgJq1qypmw5F+mdra4sJEyYAAObOnSs4DVmjzMxM7Nu3D2+//TaqV6+OSpUqYcKECdixYwfS0tJQokQJDBkyBH/++ScePXqEU6dO4csvv4S/v/9rF3PKZDK0aqkdtTiNrKwsY/yWyEi0IxYnT55Eenq64DSkT6GhoYiLi4ObmxvXpQrEYmEmvLy8sHnzZqxYsQLOzs4IDQ2Fn58fli1bBgtbf18oFy9exO+//w4AmDdvHodADWzcuHGwtbXF6dOncfLkSdFxyMJpNBpcv34dv/32Gzp16gR3d3d07twZc+bMwY0bNyCXy9GyZUt8++23OHfuHB4+fIjVq1dj0KBB8PLyKvDr1apRA54eHsjK4qiFpalUqRLKlSsHpVKJ0NBQ0XFIj7SH4vXq1avAG+eQ/rBYmBFJkjB8+HBcvHgRLVu2RFpaGkaPHo3evXvj8ePHouMJo9FoMGXKFKjVavTv3193RYoMp0SJEhg0aBAAbj1LhpGSkoJt27Zh/PjxqFixImrUqIHp06dj//79yMrKgo+PD8aMGYPNmzfjyZMnOH78OD766CM0aNAAMlnRfrTJZDIEtmyBqlUqo0rlynr6HZEp4DoLy6RWq7F582YAnAYlGreb1TOlUol1GzYCAAYNeMNgV85VKhV+/vlnfPLJJ1AqlShRogSWLl2K7t27G+T1TNm6devw1ltvwcHBAdevX0e5cuVER7IKFy5cQIMGDWBjY4N79+6hTJkyoiORGdNoNLh48aJuK9jQ0FDk5ubqvm5ra4vAwEB06tQJnTp1Qo0aNSBJksDEZK7WrFmDoUOHonHjxjh9+rToOKQHoaGhaNGiBVxdXfHo0SNuJaxnBXlvzWJh5i5evIjBgwfjypUrAIAxY8bgl19+QbFixQQnM47U1FRUr14dsbGx+Oabb/Dxxx+LjmRVWrVqhRMnTuCjjz7Ct99+KzoOmZmnT5/i4MGDujIRFxf33NerVq2qKxKBgYFwcnISlJQsSUxMDHx8fCCTyfD06VO4urqKjkRF9Pbbb2POnDkYMmQIVq9eLTqOxWGxsKJiAQBZWVn45JNP8Msvv0Cj0aBSpUpYs2YNAgICREczuA8++AA//vgjKlWqhKtXr/K0XCPbvHkz+vXrBw8PD0RHR8PBwUF0JDJhKpUKZ8+e1RWJ06dPQ61W677u6OiItm3b6spEZROYhpSSmorQsHA4OzujRYC/6DikJ76+vrh58yZ27NhhlSP9lkStVqNcuXJ48OAB/z4NpCDvrXnWuQWwt7fH7Nmz0bVrVwwbNgyRkZFo2bIlZs6cic8++8xiFzHduHEDv/76K4Bn53ywVBhfz549Ua5cOURFRWHdunUYNWqU6EhkYuLi4rB//37s27cPBw4cwNOnT5/7eu3atXVFokWLFiY3hSEm5gHOnDsPOzs7NKxfHw4O/D5jCdq0aYObN2/iyJEjfCNq5k6dOoUHDx7A2dkZHTp0EB3H6nHxtp7l5ORg9q9zMPvXOUY/PKxNmza4dOkShgwZArVajW+//Rb+/v64du2aUXMYg0ajwbRp06BUKtGlSxd069ZNdCSrZGNjo9vad86cOdyhjKBUKnHs2DHMnDkT9evXR6lSpTB8+HD89ddfumkn/fr1w9KlSxEdHY3Lly/jp59+Qrt27UyuVABAjeq+8C7hhezsbJzkfHyLwQXclkN7nlKPHj14gdEEsFgYQEZmJjIyM4W8tpubG1avXo2NGzfC3d0d58+fR4MGDTB37tznphyYux07dmD//v2wtbXFb7/9xkWcAo0ePRqOjo64fPkyjh49KjoOCXD//n0sXrwYvXv3hoeHB1q3bo3vv/8eERERAIBGjRrhk08+QUhICBISErBp0yaMGjUKZcuWFRs8HyRJQqsWLQAAp86cRaag7+2kX61btwYAXLp0CfHx8WLDUKFpNBrdNrPcDco0sFhYqP79++Py5cvo2LEjsrKyMG3aNAQFBSEmJkZ0tCLLzMzE9OnTAQAzZsxA1apVBSeybsWLF8fQoUMB8MA8a5GVlYUDBw7gnXfeQc2aNVGhQgWMGzcO27ZtQ2pqKjw9PfHWW29hzZo1ePToEc6cOYOvv/4azZs3f+0Bdaaoum81eJcogZycHISf4qiFJShRogTq1KkDALwgYsZOnz6N6OhoFCtWDEFBQaLjEFgsLFrp0qWxb98+zJ8/Hw4ODjh06BDq1KmDDRs2iI5WJD/99BPu3r2LMmXK4KOPPhIdhwBMnToVALB9+3bcvXtXcBrSN41Gg5s3b2Lu3Lno0qUL3N3dERQUhF9//RXXrl2DTCZD8+bN8fXXX+PMmTN49OgR1q5di8GDB6NEiRKi4xeZJEkIbPls1OL02XPIyMgQnIj0gdOhzJ92tKJ79+7cPMREsFhYOEmSMGnSJJw/fx6NGjVCUlISBg4ciLfeeguJiYmi4xXY/fv3MWvWLADA7NmzrWZbXVNXo0YNdOzYERqNBvPnzxcdh/QgLS0NO3bswMSJE1G5cmX4+vpi2rRp2Lt3LzIzM1GmTBmMGjUKmzZtQkJCAkJCQvDJJ5+gUaNGRT6gzhT5VquKkt7eyMnJwcnTZ0THIT3QFovg4GDBSagwNBqNbn0Fp0GZDm43q2c5OTn4fvYvAIAP333HpHZkUiqV+Oabb/Dtt99CpVKhbNmyWLlyJdq1ayc6Wr7169cPmzdvRmBgIIKDg7m2woTs3r0b3bp1g6urK2JiYlj6zIxGo8Hly5d1W8GGhIRAqVTqvq5QKNCqVSvdDk61atWyuv9/t27fwd3799G8WVOeqWEBkpKS4OHhAbVajZiYGB7yaWbOnj2Lxo0bw8nJCfHx8RyxMKCCvLe2vMtK9FIKhQJffvklQkJCUKVKFcTExKB9+/aYPn26WSxIPHToEDZv3gy5XI558+ZZ3ZsaU9e5c2dUrVoVycnJWLVqleg4lA+JiYnPLaT28/PDBx98gODgYCiVSlSsWBETJ07Ezp078fTpUxw6dAjvvvsuateubZX//6pWqYyO7dqyVFgINzc3NGjQAABHLcyRdrSia9euLBUmhMVCzyRJQulSJVG6VEmT/cHbrFkzREREYPz48QCenQHRqFEjXLhwQXCyl8vJycGUKVMAAJMmTdItuiPTIZPJdH9HlrYLmaVQq9XPLaT29PTEG2+8geXLlyM2NhYODg7o0qUL5s6di5s3b+LOnTtYsGABunXrxhGoF+C/cfPHdRbmKe9uUP379xechvLiVCgrt3v3bowaNQqPHj3SjWi8//77kMvloqM95+eff8a7774LLy8v3Lx5E25ubqIj0QukpqaibNmySElJwZ49e9C5c2fRkQjPdnH64IMPsG7dOiQkJDz3tZo1a+qmN7Vs2ZL7wOfDw7g4HDoSjJLe3ujQrq3oOFQE+/fvR6dOnVCuXDncu3fPZC8I0vPOnz+Phg0bwsHBAfHx8RxFNDBOhaJ869q1Ky5fvozevXtDqVTio48+QmBgICIjI0VH03n48CG+/PJLAMCsWbNYKkyYs7MzRo4cCeDZgXkkXmJiIjp36QIP71KYMn0G3D080KdPHyxevBj379/H1atX8fPPP6NDhw4sFfmUlpaOu/fu48y580hPTxcdh4qgRYsWsLGxQVRUFHe0MyN5p0GxVJgWFguCl5cXNm/ejBUrVsDZ2RmhoaHw8/PDsmXLTOIk5Q8//BCpqalo3LgxRowYIToOvcaUKVMgSRL279+P69evi45j1e7fv4/mzZsjNCREd1vU/Shs3rwZY8aMQbly5QSmM19VKldCmdKlkZubi9CTp0THoSJwcnJCs2bNAHCdhbngoXimjcVCz5RKJeYs+B1zFvz+3I4qpk6SJAwfPhwXL15Ey5YtkZaWhtGjR6N37954/PixsFxhYWFYvXo1AGD+/PkWuY2lpalUqRK6d+8OAJg3b57gNNYrIiIC/v7+uHbtGkqXLq27XaEwvwPqTE3ecy3OnjuPtLQ0wYmoKLjOwrxcvHgRt2/fhr29Pbp27So6Dv0L36XpmUajQXJyCpKTU0zian9BVaxYEcHBwfjhhx+gUCiwfft21KlTBzt37jR6FpVKhcmTJwMARo0ahSZNmhg9AxXOtGnTAACrVq1CUlKS2DBW6MCBA2jZsiUePnyI2rVrIzj4qOhIFqdypYoctbAQbdq0AfCsWJjjz21rox2t6NKlCzeVMEEsFvQfcrkc77//Ps6cOYPatWvj8ePH6NGjB8aOHWvUK3NLlizBhQsX4Orqiu+++85or0tF16ZNG9SuXRvp6elYtmyZ6DhWZdWqVejatSvS0tLQpk0bhISEoEyZ0q9/IBWIJEkIbPVs1OLc+QtI5aiF2WrWrBns7e0RFxfH6ZsmjofimT4WC3opPz8/nDlzBjNmzIAkSViyZAn8/PwQFhZm8Nd+8uQJPv74YwDA119/jRIlShj8NUl/JEnC1KlTATybwqZSqQQnsnwajQbffPMNhg8fjtzcXLz11lvYt28fXF1dRUezWJUrVkTZMmWQm5uLs+fOi45DhWRvb4/mzZsD4HQoU3flyhXcvHkTdnZ26Natm+g49AJGKRYLFixAhQoVYG9vj6ZNm+L06dMvve/KlSshSdJzH9ypRBx7e3vMnj0bhw8fho+PDyIjI9GyZUt88sknyMnJMdjrfvLJJ3j69Cnq1KmDCRMmGOx1yHDeeustuLu74969e9ixY4foOBYtNzcX48aNw6effgrg2YYHq1evhq2treBklk2SJLRr0xrdunRGqxbNRcehIuA6C/OgHa3o1KkTnJ2dBaehFzF4sdiwYQPeeecdfP755zh//jz8/PwQFBT0ygXBLi4uePjwoe7j/v37ho5Jr9GmTRtcunQJQ4YMgVqtxrfffqtbGKpvFy5cwB9//AHg2eJfGxsuNjVHjo6OGDt2LABuPWtIaWlp6NmzJ5YsWQKZTIYFCxZg1qxZz210IJPJUKVyZVSpXJkbIOhZ+XI+aFDPz+TO/qGC0RaLo0eP8uBDE8ZD8UyfwX/C/PLLLxgzZgxGjBiBmjVrYtGiRXB0dMTy5ctf+hhJklCyZEndh7e3t6FjUj64ublh9erV2LhxI9zd3XH+/Hk0aNBAr6csazQaTJ48GRqNBgMHDkRgYKBenpfEmDhxIuRyOY4dO4aIiAjRcSzOo0eP0KZNG+zZswcODg7YsmULJk6c+J/72djYYNCA/hg0oD+LugGpVCpkZ2eLjkGF0KhRIzg7O+Pp06e4dOmS6Dj0AlevXsW1a9dga2vLaVAmzKDFIicnB+fOnUP79u3//wVlMrRv3x7h4eEvfVxaWhrKly8PHx8f9OzZE1evXjVkTL2SJAlenp7w8vS02BM8+/fvj8uXL6Njx47IysrCtGnTEBQUhJiYmCI/99q1axEWFgZHR0f89NNPekhLIvn4+KBv374AgLlz5wpOY1lu3rwJf39/nD17Fp6enjhy5Ah69uwpOpbVunXnDhb8sRhHjh4THYUKwcbGBq1atQLA6VCmSjsNKigoiGvHTJhBi0VCQgJUKtV/Rhy8vb0RFxf3wsf4+vpi+fLl2L59O9auXQu1Wo2AgICXvmnNzs5GSkrKcx8iKRQKTBg7GhPGjoZCoRCaxZBKly6Nffv2Yf78+XBwcMChQ4dQp04dbNiwodDPmZKSgvfffx8A8Omnn6Js2bL6iksCabeeXbduHeLj4wWnsQzh4eEICAjA3bt3UblyZYSFhekO+SIxbORyJCUl43zERSQL/jlEhZN321kyPTwUzzyY3GRbf39/DB06FPXq1UNgYCC2bNkCLy8v3Zz7f5s1axZcXV11Hz4+PkZObL0kScKkSZNw/vx5NGrUCElJSRg4cCDeeustJCYmFvj5vvrqK8TFxaFq1aqYPn26ARKTCP7+/mjUqBGys7OxePFi0XHM3rZt29C2bVs8efIEjRs3RlhYGKpWrfrKx+Tk5GDWTz9j1k8/G3TTBWtWoXx5lPPxgUqlQmjYy0fkyXRp11kcO3bMrA64tQbXrl3D1atXoVAo0KNHD9Fx6BUMWiw8PT0hl8vx6NGj525/9OgRSpYsma/nUCgUqF+/Pm7fvv3Cr8+cORPJycm6j+jo6CLnpoKpXr06wsLC8Nlnn0Eul2PdunWoW7cuDh8+nO/nuHbtmm6B72+//QY7OztDxSUjkyRJN2rx++/mdSK9qVmwYAH69OmDrKwsdOvWDcHBwfneilmpVPLP3oAkSULr/51rcT7iIpKTkwUnooLy8/ND8eLFkZaWhnPnzomOQ3loRys6duwINzc3sWHolQxaLGxtbdGwYcPn3mCq1WocPnwY/v7++XoOlUqFy5cvo1SpUi/8up2dHVxcXJ77EEmpVGLh4qVYuHipVf0QVygU+PLLLxESEoIqVaogJiYG7du3x/Tp05GZmfnKx2o0GkydOhW5ubno3r07unTpYqTUZCxvvPEGSpYsidjYWN0PCMo/tVqNDz74QLexwbhx47B161Y4OTmJjkZ5VChfHuXLlYNarUYIRy3Mjkwm43QoE8VD8cyHwadCvfPOO1iyZAlWrVqFa9euYcKECUhPT8eIESMAAEOHDsXMmTN19//qq69w4MABREZG4vz58xg8eDDu37+P0aNHGzqqXmg0GsQnJCA+IQEajUZ0HKNr1qwZIiIiMH78eADPRh8aNWqECxcuvPQxW7duxaFDh2BnZ4dff/3VWFHJiGxtbXX/Jrj1bMFkZ2dj8ODB+PHHHwEA3333HRYuXMjdnUyUdtTiwsVLSOKohdnheRam58aNG7h8+TJsbGy4QYUZMHixGDBgAGbPno3PPvsM9erVQ0REBPbt26db0B0VFYWHDx/q7p+YmIgxY8agRo0a6NKlC1JSUhAWFoaaNWsaOirpiZOTExYuXIhdu3bB29sb//zzD5o2bYrvv//+PycwZ2Rk4J133gEAvPfee6hcubKIyGQE48ePh62tLU6dOoVTp06JjmMWkpKS0KlTJ6xfvx42NjZYvXo1Zs6cabE7zlmC8uXKoUL58lCr1bh2/YboOFRA2mIRGhrKrYNNhHaUu3379ihevLjgNPQ6Rlm8PXnyZNy/fx/Z2dk4deoUmjZtqvva0aNHsXLlSt3nv/76q+6+cXFx2L17N+rXr2+MmKRnXbt2xeXLl9G7d28olUrMnDkTgYGBiIyM1N3nhx9+wP379+Hj4/PcyBVZHm9vbwwcOBAARy3yIzo6Gi1atMDRo0fh7OyMPXv2YMiQIaJjUT50bN8Wwwa/Bf+mTURHoQKqXr06SpYsiaysLJw8eVJ0HAIPxTM3JrcrFFkWLy8vbN68GStWrICzszNCQ0Ph5+eH5cuXIzIyEj/88AOAZwcpOjo6Ck5LhqZdxL1p0yY8ePBAcBrTdenSJTRr1gxXr15F6dKlceLECXTo0EF0LMqnkt7eKF+OOxSaI0mSuM7ChNy+fRsRERGQy+WcBmUmWCzI4CRJwvDhw3Hx4kW0bNkSaWlpGDVqFBo3bozs7Gy0bdtWd4gaWbYGDRqgRYsWyM3NxcKFC0XHMUmHDx9GixYtEBsbi5o1ayI8PBx+fn5Fek5JklC+nA/Kl/PhNCojS09PR1pamugYVABcZ2E6tIu227VrBw8PD8FpKD9YLMhoKlasiODgYPzwww9QKBRQ5uaiV99++OWXX/hmx4poRy3++OMPZGVlCU5jWtauXYtOnTohNTUVgYGBCAkJQbly5Yr8vAqFAsMGv4Vhg9+y6IM7TU3EpUuY+/siHDl2XHQUKgBtsTh58iTS09MFp7FuPBTP/LBY6JkkSXB1dYGrqwvfLL+AXC7H+++/j9OnT2Pi5Kmo36Ah7t6PssodtKxVr169UK5cOSQkJGD9+vWi45gEjUaDWbNmYciQIcjNzcXAgQOxf/9+LlQ0c54eHlAqlbh46TKeFuLQUBKjYsWKKF++PHJzcxESEiI6jtXS7g4ql8vRu3dv0XEon1gs9EyhUGDapImYNmkirwy+Qr169TBh3BhIkoRLV64i4uIl0ZHISGxsbDBp0iQAzxZxW3upzM3NxcSJE/HRRx8BeLY72p9//slDIi1A2TJlULlSJWg0GpwIDRMdh/JJkiROhzIB2tGKNm3awNPTU3Aayi8WCxKmfLlyaBPYCgCw98BBPHr8WHAiMpbRo0fDwcEBFy9exPHj1jtNJD09HX369MGiRYsgSRLmzp2LH3/8ETKZfr815+TkYPavczD71znIycnR63PTq2nPtbh0+QqePuWohbnQFovg4GDBSawXD8UzTywWJFRz/2aoUrkycnNzsWnLVu4bbiXc3d11W6da69azjx8/Rtu2bbFz507Y29tj8+bNmDJlisFeLyMzExmZmQZ7fnqxMqVLo0rlytBoNDgeGio6DuWTdmeoc+fOISkpSWwYK3Tv3j2cPXsWMpmM06DMDIuFnimVSixdsRJLV6yEUqkUHcfkSZKEXt27wcXFBU+fJmLXnn1WPzXGWkydOhUAsH37dty7d09sGCO7ffs2AgICcPr0abi7u+Pw4cP84WnBAls+G7W4fOUqnjx5KjgN5UeZMmVQrVo1qNVqqx5VFUU7DSowMBAlSpQQnIYKgsVCzzQaDWIfxiH2YRzfIOeTo6MD+vbqCZlMhsfx8dwpyErUqlUL7du3h1qtxvz580XHMZpTp07B398fd+7cQYUKFRAWFoaAgADRsciAypQuhapVKkMmk+FBbKzoOJRPXGchDg/FM18sFmQSfMqWwcA3+mHU8KFwcHAQHYeMRLv17NKlS61ir/8dO3agTZs2SEhIQMOGDREeHg5fX1/RscgIgjq0x+QJ41C3Tm3RUSifWCzEiIqKwqlTpyBJEkdyzRCLBZmMKpUqwdbWVvc5R3wsX5cuXVClShUkJydj9erVouMY1MKFC9G7d29kZmaic+fOOHr0KEqWLCk6FhmJe/HicHVxER2DCqB169YAgMuXLyM+Pl5sGCuiHa1o1aoVv0eaIRYLMjkajQYhYeH4e+s2lgsLJ5PJdAuW586dC7VaLTiR/qnVasycORMTJ06EWq3G6NGjsWPHDhQrVkx0NBIk9mEcz7UwA15eXqhbty4A4OjRo2LDWBEeimfeWCzI5Dx58hTHToTg2vUbOHXmjOg4ZGDDhw+Hs7Mzbty4gYMHD4qOo1c5OTkYOnQovv/+ewDAV199hcWLF8PGxsaoOSRJQulSJVG6VEke3ClYaPhJLF2xEsE8jdsscDqUcUVHRyM8PBySJKFv376i41AhsFiQyfH09EDH9u0AAIeOHEXMgweCE5Ehubi4YOTIkQAsa+vZ5ORkdOnSBX/++SdsbGywYsUKfPrpp0Le2CsUCoweMRyjRwznwZ2CVa5UEQBw9Z9reMzpNSZPu+0si4VxbNmyBQDQokULlCpVSnAaKgwWCwNwdHCAIxcgF0mjBvVRq0YNqNVq/L11OzIyuP++JZs8eTIkScLevXtx48YN0XGKLCYmBi1btsThw4dRrFgx7Nq1C8OHDxcdi0xASW9vVPetBgA4HsJzLUxdq1atIJPJcPPmTcTExIiOY/F4KJ75Y7HQM1tbW7w7fRrenT7tuYXIVDCSJKFbl05wdy+OlJQUbNu5i+stLFiVKlXQtWtXAMC8efMEpymaK1euwN/fH5cvX0bJkiVx/PhxBAUFiY5FJkR7rsU/167j8WOOWpgyNzc3NGzYEABP4Ta0Bw8eIPR/h0hyGpT5YrEgk2VnZ4d+vXvBxsYGt+/cQWj4SdGRyIC0W8+uXLnSbE+6DQ4ORosWLRATE4Pq1asjPDwc9evXFx0LSqUScxb8jjkLfufBnSbAu0QJ1Kj+bJvhYyEhgtPQ63CdhXFop0EFBASgTJkygtNQYbFYkEkr6e2Nzh07QC6Xw97OTnQcMqB27dqhVq1aSE9Px/Lly0XHKbB169YhKCgIycnJaNGiBUJDQ1GhQgXRsQA822ktOTkFyckpHPkzEYEtno1aXLt+A48ePxachl4lb7Hg/x/D4aF4loHFQs+USiVWrf0Tq9b+ySuDelLPry4mjh2DRg0biI5CBiRJEqZOnQrg2XQolUolOFH+aDQa/Pjjj3jrrbegVCrRr18/HDx4EO7u7qKjkQkrUcILNWtUh3OxYkhJTRUdh16hefPmUCgUiIqKwt27d0XHsUgPHz7EiRMnAHAalLljsdAzjUaD+1HRuB8VzSsbeiJJEooXd9N9np2dbZHnHRAwePBguLu74969e9i5c6foOK+lUqkwZcoUfPDBBwCA6dOnY8OGDbC3txecjMxB544dMGXieFStXFl0FHoFJycnNGvWDACnQxnKli1boNFo0KxZM/j4+IiOQ0XAYkFm5WFcHBYvW4EToWGio5ABODo6YsyYMQBMf+vZjIwM9O3bFwsWLIAkSfjll1/wyy+/QCbjt1XKHycnJ6OfaUKFw21nDYuH4lkO/gQksxIfn4DEpCQcOxGCyLv3RMchA5g0aRLkcjmOHj2KS5cuiY7zQgkJCWjXrh22b98OOzs7bNiwAdOnTxcdi8yUWq3G5atXudbChHGdheE8evQIx48/OzCSxcL8sViQWalbpzbq1/MDAGzZvgOpnJtscXx8fNCnTx8AwNy5cwWn+a87d+4gICAAJ0+eRPHixXHw4EEuNqQiORx8FFu37+Rp3CasWbNmsLe3x6NHj3Dt2jXRcSzK1q1boVar0bhxY5QvX150HCoiFgsyO506tId3CS9kZGRg87YdXG9hgbRbz/75559ISEgQnOb/nTlzBgEBAbh16xbKly+P0NBQtGzZUnSs15IkCV6envDy9BRy8je9Wv16fpAkCTdv3UbswzjRcegF7Ozs0OJ/O3lxOpR+aQ/F4wUay8BiQWZHoVCgX+/esLW1RVR0NIKPnxAdifQsICAADRo0QFZWFhYvXiw6DgBg9+7daN26NR4/foz69esjPDwcNWrUEB0rXxQKBSaMHY0JY0dDoVCIjkP/4unhgdq1agIAjp3g9zNTxfMs9C8+Ph5Hjx4FwGlQloLFwgAUCgV/eBuYh4c7unfpDAAIDQvH7chIwYlInyRJ0o1a/P67+EPdFi9ejB49eiAjIwNBQUE4duwYSpUqJTQTWZZWzZtDkiTcun0HD2Ifio5DL6AtFkePHuVIuZ5op0E1bNgQFStWFB2H9IDFQs9sbW0x870ZmPneDNja2oqOY9Fq1ayBRg0aoHKlSihdsqToOKRnAwYMgLe3Nx48eIDNmzcLyaDRaPDpp59i3LhxUKvVGDFiBHbu3AlnZ2chechyeXi4o07tWgCAYyd4GrcpatiwIZydnZGYmIiLFy+KjmMReCie5WGxILMW1KEdBg3oD0dHR9FRSM/s7Owwfvx4AGK2ns3JycHw4cPxzTffAAA+//xzLFu2zCxHI5VKJRYuXoqFi5cKH/2hl9OOWty+cwcxD2JFx6F/sbGxQatWrQBwOpQ+JCQk6P4cOQ3KcrBYkFmTy+XPLUaNfcgpBJZk/PjxUCgUOHnyJE6fPm20101JSUG3bt2wevVqyOVyLF26FF988YXZLnzWaDSIT0hAfEICt8o0Ye7uxVG3di2ULVvGbP+tWTqus9CPU6dOYcCAAShWrBj6DxiIyjwk0mKwWOhZbm4u1m3YhHUbNiE3N1d0HKuh0WiwY/ceLF2xCjdu3hQdh/SkZMmSGDhwIADjjVrExsaiVatWOHjwIJycnLBz506MGjXKKK9N1KVTEEYMGYwypbmGxxRpi8Xx48c5+lcIp06dQpcuXdCsWTOEhoZizPiJqF3XD6fPnhMdjfSExULP1Go1bt+5g9t37nBxlxFJkgR7OzsAwLadu5GYlCQ2EOmNdhH3xo0bERtr2OkhV69eRbNmzXDx4kV4e3vj2LFj6Ny5s0FfkygvhULB0QoTVrduXbi7uyMtLQ1nz54VHcds5C0Ue/fuhVwux5tvvomWzQMAAPsPHsLtO9yExRKwWJDFaNemNcqUKY3s7Gxs3rqNI0YWomHDhmjevDlyc3OxaNEig73OsWPH0KJFC0RHR8PX1xfh4eFo2LChwV6P6FUyM7Nw9PgJxDx4IDoK5SGTydCmTRsAnA6VHydPnkTnzp2fKxQjRozAjRs3sGLFCnTv1hV+detAo9Fg87bteBwfLzoyFRGLBVkMuVyOfr16wsHBHrEP43DwML/pWwrtqMWiRYuQlZWl9+ffsGEDOnbsiKSkJAQEBCA0NJRbH5JQwceO43hIKIKP8VwLU6OdDhUcHCw4ienSFgp/f3/s27fvuUKxfPly3ZoKSZLQrXMnlPPxQXZ2Nv7a+DfS0zMEp6eiYLEgi+Lq6ope3bsDAM6cO4+r/1wTnIj0oVevXihbtizi4+Px119/6e15NRoNfvnlFwwcOBA5OTno3bs3Dh06BA8PD729BlFhBDRrAplMhrv37iEqOlp0HMpDWyxCQ0MNcqHDnOW3UOQll8vxRt/eKO7mhqTkZGzcvIUzDswYiwVZnKpVKqN5gD8AYNfefcjM5Dd+c6dQKDBp0iQAzxZx62NnI5VKhenTp2PGjBkAgClTpmDTpk1wcHAo8nObGkmS4OrqAldXF87fNxNubm6oV7cOAJ5rYWp8fX1RsmRJZGVl4eTJk6LjmITCFIq8HB0dMfCNfrCzs4NSmYOsrGwjJSd9Y7Egi9SmVUvU8PVF3/9NjSLzN2bMGDg4OCAiIgInThRtekhmZiYGDBig22lq9uzZmDNnDuRyuT6imhyFQoFpkyZi2qSJZnkOh7Vq0Tzgf6MW93E/iqMWpkKSJG47+z/h4eHo1KnTc4Vi5MiR+S4UeXl5emLIoDcxfMhgFCvmZMDUZEgsFmSRZDIZ+vftjSqVK4mOQnri4eGBwYMHAyja1rNPnjxBhw4dsHnzZtja2mL9+vWYMWMGr+STyXFzdUV9v7oAgGNFLNOkX9ZeLLSFIiAgAPv379cVips3b2LZsmWFPpeidKmSsLW11X2empamr8hkJJLGwk5LSklJgaurK5KTk+Hi4iI6DpmIxMQkxD9JQLUqVURHoSK4cuUK6tSpA5lMhjt37qBChQoFevzdu3fRuXNn3LhxA25ubti2bRsCAwMNE5ZID5KTkzFv4R9Qq9UY+tYgVChfTnQkwrPvJZUqVYKNjQ0SExNRrFgx0ZGMIjw8HF9++SX2798P4Nn6iGHDhuHjjz9GpUr6u5Cn0WhwIjQMoeEnMfStQTzXRbCCvLfmiAVZvPj4BCxevgKbt25HfHyC6DhUBLVr10a7du2gVquxYMGCAj323Llz8Pf3x40bN+Dj44OQkBCrKRVKpRJLV6zE0hUreaiXmXF1dUWjBvVRz68u3NxcRceh/6lYsSIqVKiA3NxchIaGio5jcOHh4QgKCnrpCIU+SwXwrFjEPIiFUqnEhk1/IzklRa/PT4bDYkEWz8PDHaVLlYJSqcTfW7chJydHdCQqAu3Ws0uXLkV6enq+HrN3714EBgbi0aNH8PPzw8mTJ1GrVi1DxjQpGo0GsQ/jEPswTi8L38m4gjq0R4+uXeDmymJhSqxhOlTeQnHgwAHI5XKMGjXKYIVCSyaToW+vHijh5YW09HRs2PQ3f3abCRYLPcvNzcWmLVuxactWbpdmImQyGfr07I5ixYohPiEBe/bt55srM9a1a1dUrlwZSUlJWLNmzWvvv2zZMnTv3h3p6elo3749jh8/jtKlSxshKZF+cP2PabLkg/LCwsKeKxQ2Nja6QrF06VKDFYq87OzsMLB/Xzg6OiLu0WNs3bGTP7vNAIuFnqnValy7fgPXrt+AWq0WHYf+x8nJCX179YAkSbh05SoiLl4SHYkKSSaTYcqUKQCAuXPnvvQHjUajweeff47Ro0dDpVJh6NCh2L17N9dekdl6HB+Pv7dsQ+Tde6KjEP6/WJw/fx6JiYmC0+iHtlA0b978uUJx48YNoxWKvNzc3DCgXx/I5XLcuHkLh4OPGvX1qeBYLMhqlC9XDm0CWwEA9h44iEePHwtORIU1fPhwFCtWDNeuXcPBgwf/83WlUolRo0bhq6++AgB8/PHHWLly5XO7jRCZm/MXIvDP9es4diKEV25NQJkyZeDr6wu1Wo3jx4+LjlMkYWFh6Nix43OFYvTo0UYdoXgZn7Jl0aNbl2c5T57Cg9hYYVno9VgsyKo092+GKpUrIzc3FyGh4aLjUCG5urpixIgRAP679Wxqaiq6d++OFStWQCaTYdGiRfjmm284nYTMXnP/ZrCxsUF0TAwi790THYdg/uss8haKgwcPPlcolixZgooVK4qOCACoU6sWWrdqiW5dOqMMp7KaNBYLsiqSJKFX925oERCAnt27io5DRTBlyhRIkoQ9e/bg5s2bAICHDx8iMDAQ+/fvh6OjI7Zv345x48YJTkqkH87OzmhYvx4A4NhxjlqYAnMtFqGhoWZRKPJq1aI5GtTzEx2DXoPFgqyOo6MD2rZuBRsbG9FRqAiqVq2KLl2eDY/PmzcP165dg7+/Py5cuAAvLy8EBwejW7duglOaDkcHBzg6OIiOQUUU8L9Ri5gHD3Dn7l3Rcaxe69atATw7Y+exGUyv1RaKFi1amE2heJGMjAxs37kLmZlZoqPQv7BYkFVTq9UIPnYcsQ8fio5ChaDdenbFihVo3rw57t+/jypVqiA8PBxNmjQRnM502Nra4t3p0/Du9GlcZ2LmnIsVQ8MG9QFw1MIUeHp6ws/v2VX0o0ePig3zCqGhoejQocNzhWLMmDG4deuWWRUKrU1btuHi5SvYtGUrVCqV6DiUB4sFWbUToWE4ERqGv7duQ1YWr3yYm/bt26NmzZpIT09HYmIimjVrhrCwMFSuXFl0NCKDad7s2ajFg9hY3InkqIVoprztbEhIiK5QHDp06LlCsXjxYlSoUEF0xEIJ6tAOCoUC9+7fx979B1mwTYiksbC/jYIcO24IGo1Gd7KtQqHgglETl5WVhcXLVyApKRm+1arijb59+HdmZtasWYO70Q8AAFMnTeAhYmQVToSGQS6Xo1GD+hyFEmznzp3o0aMHqlatqlvvJVpISAi+/PJLHDp0CABgY2ODESNG4KOPPjLbMvFvN27dwoZNmwEAHdu3Q7MmjQUnslwFeW/NEQs9kyQJtra2sLW15RtUM2Bvb49+vXvp9sg+deaM6EhUQAMGDND9mmsIXkypVGLV2j+xau2fugsfZN5aNg9AQLOmLBUmoFWrVpDJZLh16xaio6OFZgkJCUH79u3RsmVLixqheBHfqlXRod2zxfMHDh3GzVu3BScigMWCCKVLlULH/31zOnTkKKJjHghORKRfGo0G96OicT8qmlMGLJBGo+Hfq0Curq5o1KgRACA4OFhIhryF4vDhw7CxscHYsWMtslDk1axJY91OUVu27+D5VCaAxULPcnNzsX3nLmzfuQu5ubmi41A+NWrYADVrVIdarcbmbduRkZEpOhIR0WvdvH0bi5etwM3bvForkqhtZ0+cOPHSQvHHH39YbKHQkiQJnYM6okL5cijm5AS5XC46ktVjsdAztVqNi5ev4OLlK1Cr1aLjUD5JkoTuXTrD3b04MjIy8PBRnOhIRESvFRUdg0ePH+M4T+MWSlssgoODjfL3oC0UrVq1eq5Q3L592yoKRV5yuRz9+/TGyGFD4enhITqO1eNG/kT/Y2dnh/59ekOChBIlvETHISJ6rYCmTXD23Hk8jHuEm7duwbdaNdGRrFLz5s2hUCgQFRWFyMhIg+1Md+LECXzxxRe6kRGFQoGRI0di5syZKF++vEFe0xw4/Gt9XdyjR/AuUYJrXQXgiAVRHt4lSjxXKngFkIhMmaOjIxo3aggAOMZRC2EcHR3RrFkzAIaZDnXixAm0a9cOrVq1wpEjR6BQKDBu3DjcunULixYtsupS8W/nL0RgyfKVOB4SKjqKVWKxIHqJqOgYLFu1Gmlp6aKj0CvIZDJUqVwZVSpXhkzGb2lkffybNIGtrS3iHj3GDRPZ7tQaGWKdxfHjx1koCkqSoNFocOxECK5c/Ud0GqvDn8JEL6DRaLB3/37Exj7E1h07uV7GhNnY2GDQgP4YNKA/bGw4u/NlFAoFFAqF6BhkAI6ODmjCUQvh8haLov4dHD9+HG3btkVgYCALRQE1qOcH/6ZNAADbd+1GzAPu9GhMLBZELyBJEvr07AmFQoG79+7hRGiY6EhEhWZra4uZ783AzPdm8NwDC+Xf9NmoxaPH8TyNW5CmTZvCwcEBjx8/xj//FO5Ked5CERwcDIVCgfHjx+P27dssFAXQrk1rVKtaBSqVChs2bUZScrLoSFaDxYLoJby8PNG1UxCAZ1cBI+/eExuIiOglHBwc0LFdWwzo1xeVK1UUHccq2dnZoUWLFgAKPh3q2LFjLy0UCxcuRLly5QwR2WLJZDL06dkD3iVKID0jA39t/BvZ2dmiY1kFFgs9UygUmDFtKmZMm8ppBxagbp3aqP+/w3e2bt+B1NRUwYno33JycjDrp58x66efkZOTIzoOkTAN6teDb7Wq3AlHoLzbzuaHtlC0bt2ahULPbG1tMfCNfijm5ITH8fGIuHRZdCSrwGKhZ5IkwcnJEU5OjvzmbiE6dWgP7xJeSM/IwOZtO7jewgQplUoolUrRMUxWbm4u1m3YhHUbNvHgTiuRnZ3NtRYCaIvF0aNHoVKpXnq/Y8eOoU2bNiwUBubq4oIB/fuiXZvWunVIZFgsFkSvoVAo0K93b9ja2sLR0YFvzMjsqNVq3L5zB7fv3GExtgKnz57D3N8X4Z9r10VHsToNGjSAs7MzEhMTcfHixf98PW+hOHr0KBQKBSZMmMBCYUBlSpdGc/9mvNhrJCwWepabm4s9+w5gz74DfANqQTw83DFmxHD079Obi1+JyKRlZmYiMzMTx0NCWSSNzMbGBoGBgQCeX2dx9OjRlxaK33//nYXCSHJycrBx8xaumTQgFgs9U6vVOHv+PM6eP89v6BbGw8Ndd8VDo9FwIRgRmaSmjRvB3t4O8QkJHLUQIO+2s9pC0aZNm+cKxZ07d1goBAgNP4nrN27i761bkfDkieg4FonFgqiAsrOzsXnbdvz518ZXzqElIhLB3t4ezZo828efoxbGpy0We/fu1RUKW1tbTJw4UVcofHx8BKe0Ti2bB6Bs2TLIysrGXxv/RkZGpuhIFofFgqiAMjIzcSfyLmIePMDho8dExyEi+o9noxb2SHjyBFevXRMdx6rUqVMHXl5eAKArFLdv38aCBQtYKASzsbHBgL594ObqiqeJidi0ZQsvEOoZiwVRARV3c0PPbl0BACdPncaNmzcFJ7JukiShfDkflC/nw8V5RP9jZ2enO334+AmOWhhTbm4uJr/9Dr78dhauXbvOQmFinJycMLB/P9ja2uJ+VDR279vPHdT0iMWCqBCq+1ZDsyaNAQDbdu5GYlKS2EBWTKFQYNjgtzBs8Fs8O4YojyaNGsLBwR5Pnj5FdMwD0XGsUtmyZURHoBcoUcILfXv3hCRJiLh4CeGnTouOZDFsRAcgMlft2rRGzINYxDx4gM1bt2H4kMGwseF/KTI9tra2+OyjD0XHICOzs7NDj65d4e5eHF6enqLjEJmUqpUrI6h9O4SEhaM8F9HrDUcsiApJLpejb++ecHCwR+zDOBw6kr+TVomIjMW3WlWWCqKXaNyoISaMHYMypUuJjmIxeHlVzxQKBaZOHK/7NVk2VxcX9OreHbv27kON6r6i41ilnJwczF2wEAAwddIEnjNC9BJPnybCzc0VMhmvKRIBz9boOTjY6z6PfRgH52JOcHZ2FpjKvLFY6JkkSXBzcxMdg4yoapXKmDx+LIukQBmZ3DLwVXJzc7F1x04AQO8e3TllzwodOHQYp86cRfeunVGvbl3RcYhMzq3bd7Bpy1aU8PLkmr0iMMpliwULFqBChQqwt7dH06ZNcfr0qxfJbNq0CdWrV4e9vT3q1KmDPXv2GCMmUaHl/Qb05MlTKJVKgWmInqdWq3Ht+g1cu36DuwNZqWLFikGj0eBESBi31yR6AQ8PdygUCsQ+jMO2nbu4U1QhGbxYbNiwAe+88w4+//xznD9/Hn5+fggKCsLjx49feP+wsDC8+eabGDVqFC5cuIBevXqhV69euHLliqGj6oVKpcLBw0dw8PARfvO2Qv9cu47Fy1dg/8FDoqMQEek0alAfTo6OSExKwiUz+XlqrmQyGapUrowqlStz2pkZcS9eHG/07QOZTIZr128g+NgJ0ZHMksH/xf/yyy8YM2YMRowYgZo1a2LRokVwdHTE8uXLX3j/OXPmoFOnTnjvvfdQo0YNfP3112jQoAHmz59v6Kh6oVKpEH7qNMJPnWaxsEL29vZQKpU4H3ERly7zhzcRmQZbW1sE+DcFAJwI5aiFIdnY2GDQgP4YNKA/px2amfLlfNC9S2cAQEhYGH+OF4JBi0VOTg7OnTuH9u3b//8LymRo3749wsPDX/iY8PDw5+4PAEFBQS+9f3Z2NlJSUp77IBKlUsUKCGzZAgCwe99+xMcnCE5ERPRMowYN4OTkhKSkZFzkGyaiF/KrWwfNA/wBADv37EVUdLTgRObFoMUiISEBKpUK3t7ez93u7e2NuLi4Fz4mLi6uQPefNWsWXF1ddR883ZJEa9k8ABUrVIBSqcTfW7chJydHdCQiIigUCjT/36hFCEctiF6qbWArVPetBpVKhQsXL4mOY1bMfvLfzJkzkZycrPuIZrMkwWQyGXr36I5ixYohPiEBe/bt5yIwA5IkCaVLlUTpUiUhSZLoOEQmrWH9+ijm5ITMrCw8jo8XHcci5eTkYNZPP2PWTz/zwpKZkiQJvbp3Q8f2bXVToyh/DDr5z9PTE3K5HI8ePXru9kePHqFkyZIvfEzJkiULdH87OzvY2dnpJ7CenT13DgH+/qJjkADFijmhT88eWLNuPS5duYrqvr6o7ltNdCyLpFAoMHrEcNExiMyCQqHAG/36wNPDA/b29q9/ABUKdwY0f7a2tmjWpInuc41GA41GwwX5r2HQPx1bW1s0bNgQhw8f1t2mVqtx+PBh+L/kDbe/v/9z9weAgwcPvvT+psbW1haXL5zD5x/PxL69e0XHIYEqlC+HNoGtEODfDNWqVhEdh6yYQqHAh+++gw/ffYd7sxPKlinDUkFUACqVCjt27+GOj/lg8Nr1zjvvYMmSJVi1ahWuXbuGCRMmID09HSNGjAAADB06FDNnztTdf9q0adi3bx9+/vlnXL9+HV988QXOnj2LyZMnGzqq3nTt2hUAsHv3bsFJSLQWAf5o36Y1r3CQUJIkwdbWFra2tpwuRjoajQZ3Iu8iNzdXdBQikxYVHY2Lly7jzLnzOHP2nOg4Js3g73YGDBiA2bNn47PPPkO9evUQERGBffv26RZoR0VF4eHDh7r7BwQEYN26dVi8eDH8/Pzw999/Y9u2bahdu7aho+pN587P5uOdP3/+ud8bWTeVSoWLly5zvYWeKZVKzFnwO+Ys+J3TD4gK4O8t2/DnXxsQwcWpRK9UsUIFtG0dCADYd/AQbkdGCk5kuoxyGXXy5Mm4f/8+srOzcerUKTRt2lT3taNHj2LlypXP3b9///64ceMGsrOzceXKFXTp0sUYMfXG29sbjRs3BgCeGk4Ank0BXP3nemzftRtnz18QHceiaDQaJCenIDk5haXtJXJzc7F95y5s37mLV6dJp3z5cgCAE2Hh/HdB9BrN/ZvBr05taDQabN66ndvJvwTnZxgIp0NRXjKZTLd4+8Chw4h9+OLtk4kMQa1W4+LlK7h4+QrUarXoOGQiGtTzg7OzM1JTU3E+4qLoOEQmTZIkdO3cCeV8yiI7OxvrN21CenqG6Fgmh8XCQLTF4uDBg8jOzhachkxBsyaN4VutKlQqFf7euhVZWVmiIxGRFbOxsUGL/x0EFspRC72RJAnly/mgfDkfrmmyMDY2Nnijbx8Ud3NDUlIy/t66jSPl/8JiYSANGjSAt7c30tLScOLECdFxyARIkoQeXbvCzdUVSUnJ2LFrD78hEZFQ9f3qwsXFBalpaTh3IUJ0HIugUCgwbPBbGDb4Le7CZoEcHR0x8I1+cHN1RcvmASyP/8JiYSAymUy3NoTToUjLwcEe/fr0glwux/WbN3HqzFnRkYjIiv171IIbIBC9npenJyaNH4tKFSuIjmJyWCwMiOss6EVKlyqFju3aAgBOhIZxqhwRCVXfry5cXVzg4OCAlJRU0XGIzIJcLtf9+smTp7h5+7bANKbDoCdvW7sOHTpAoVDg1q1buHXrFqpWrSo6EpmIRg0bIC09HX516pjsyfHmQpIkeHl66n5NRAUjl8sxdPAguLm68v+QHuTk5GDugoUAgKmTJsDW1lZwIjKkhIQnWL56NXJzVRg+5C2ULlVKdCShOGJhQC4uLmjZsiUAbjtLz5MkCW0CW8HdvbjoKGZPoVBgwtjRmDB2NOczExVScTc3lgo9ysjMREZmpugYZATu7sVRtkwZ5Obm4q9Nm5GSkiI6klAsFgbGdRaUH5F37/E0TzIYhUKBGdOmYsa0qSxf9EpKpRKnz55DTk6O6ChEZkEmk6Fvr57w8vREWloa/tq02ar//7BYGJh2ncWxY8eQlpYmOA2ZoodxcVi7/i/sO3gI96OiRMchCyRJEpycHOHk5Mir0vRKa9b/hX0HDuLcBR7kSZRfdnZ2ePONfnB0dETco0fYumOn1e76yGJhYL6+vqhUqRJycnJw6NAh0XHIBJX09kbd2rWenea5bQfS09NFRzIrSqUSCxcvxcLFS7mjDVER1ferCwAIDT9l1VddiQrKzc0NA/r1gVwux42bt3D46DHRkYRgsTAwSZK4OxS9kiRJ6NIpSDeMumX7Tp6OXAAajQbxCQmIT0iw2itEr5Obm4s9+w5gz74DPASNXqlu7doo7uaGjIwMnD3PUQuigvApWxY9uj2bAh8dHWOV329ZLIxAWyz27OGBaPRitra26Ne7FxQKBe7eu4cToWGiI5EFUavVOHv+PM6eP8/SSq8kl8vRskUAACAs/CRHLYgKqE6tWnijb28MGTQQNjbWt/kqi4URBAYGwtHREbGxsYiIiBAdh0yUl5cnunYKAgAcOxGCyLv3xAYiIqtUt3ZtFC/uhozMTJw5d150HLMjSRJKlyqJ0qVKck2Tlaru6/tcqbCm86pYLIzA3t4e7du3B8DpUPRqdevURv16fgCAW3fuCE5DRNZIJpOhVfPmAIDwk1xrUVAKhQKjRwzH6BHDuQublVOr1Th4JBhLV6xCZmaW6DhGwWJhJFxnQfnVqUN79O3VU3c6NxGRsdWpXQse7u7w8SmLLCu62kqkT1lZWbj6zzU8efoUf2/dCpVKJTqSwbFYGIn2PItTp04hPj5ecBoyZQqFArVq1oAkSUhMTMTt27dFRyIiKyOTyTB6xDAM6NcXLs7OouMQmSVHR0cM7N/3f+sn72PfgYMWv9aWxcJIypYtCz8/P2g0Guzfv190HDIT3bp3R7v27flv5hUkSYKrqwtcXV04n5lIj+zs7ERHMEtKpRJzFvyOOQt+5xbYhJLe3ujTqwcA4NyFCJw+c1ZwIsNisTAiToeigrh+/TouXbqEqPv3MXz4cI50vYRCocC0SRMxbdJEzmcmMoDk5GTsP3jIqhagFoVGo0FycgqSk1Ms/uo05Y9v1aro0K4NAODA4SO4acEzEVgsjEg7HWrfvn1WubcxFczWrVuRlpoKAIiLi8PIkSP5Q4oKRaFQYOrE8Zg6cTzLFxWIRqPBX5s249SZszhl4VdaiQypWZMmqF/v2cyVLdt2ICMjQ3Qkg2CxMKJmzZrB3d0dSUlJCA8PFx2HTNzWrVsBAJMmTYKdnR127dqF33//XXAqMkeSJMHNzQ1ubm6cLkYFIkkSmvs3AwCcPH0aWVnWsbMNkb5JkoQuQR1RtUpldO/SGY6OjqIjGQSLhRHJ5XJ06tQJAKdD0atFR0fjzJkzkCQJn376KX744QcAwIwZM3DlyhXB6UyLUqnE0hUrsXTFSs5nJjKAmjWqw9PDA1lZ2Ry1ICoCuVyOgf37oVbNGqKjGAyLhZFxnQXlx7Zt2wAAzZs3h7e3N6ZOnYrOnTsjOzsbb775JjIzM8UGNCEajQaxD+MQ+zCOU8VeQqVSYdXaP7F23Xqr2O6Q9EsmkyGwZQsAwMnTZzhqQVQEeUeNU1JTcfT4CYv62cViYWSdOnWCTCbDlStXEBUVJToOmagtW7YAAPr06QPg2TeiFStWoESJErhy5Qo++OADkfHIzBw+fBj3o6IRee8+UtPSRMchM1SzRnV4eXoiOzsbJ0+fER2HyOzl5uZixeo1OB4SiuMhoaLj6A2LhZG5u7vD398fAEct6MUSEhJw/PhxAEDv3r11t3t7e2PlypUAgHnz5vHfD+VLbGwshgwZgs8/nonPP56JK5cvi45EZkiSJN2oxakzZ63mFOHCkCQJXp6e8PL05JomeikbGxu0/N8J98dOhODK1X8EJ9IPFgsBOB2KXmXHjh1Qq9WoX78+KlSo8NzXOnfujGnTpgEARowYgbi4OAEJyVzk5uZi4MCBePz4se42bhxBhVWjui9KlyqFxCcJWLFiBafVvYRCocCEsaMxYexo7sJGr9Sgnh+aNW0CANi+azdiHjwQnKjoWCwE0BaLI0eOcK48/Yd2N6i8oxV5ff/996hbty7i4+MxbNgwqNVqY8YjM/Lxxx/jxIkTcHZ2xpgxYwAAJ0+eFJyKzJUkSXAt5ogfZn2HSZMmonHjxjh9+rToWERmrX2b1qhWtQpUKhU2bNqMpORk0ZGKhMVCgDp16qBs2bLIzMxEcHCw6DhkQlJTU3HgwAEA/7++4t/s7e2xfv162Nvb48CBA5gzZ44xI5KZ2LFjB3788UcAwPLlyzFkyBAAz0YsLGmhIBlX3hGvCxcuoFmzZhg/fjwSExMFpiIyXzKZDH169oB3CS+kZ2Tgr41/m/VhlCwWAkiSpBu12LNnj+A0ZEr27NmDnJwcVK1aFTVr1nzp/WrWrIlffvkFAPDhhx8iIiLCSAlNk6ODAxwdHETHMBn37t3DsGHDAABTp05Fv3790LBhQ9jY2ODhw4eIjo4WnJDMlbZYzJ49G8OGDYNGo8Eff/wBX19frFq1iqUVz7bAXrh4KRYuXsotsClfbG1tMbB/Pzg5OQEAsnNyBCcqPBYLQfKus+A3YtLSToPq06fPaxf9jR8/Hj169EBOTg7efPNNiz3F83VsbW3x7vRpeHf6NNja2oqOI1x2djb69++PpKQkNG3aFD/99BMAwNHREX5+fgC4zoIKJzs7G+fPnwcA9OzZEytXrsSxY8dQs2ZNxMfHY/jw4QgMDMTVq1cFJxVLo9EgPiEB8QkJ/PlO+ebq6oohbw7EiKGD4eLsLDpOobFYCNK2bVvY2dnh3r17uHbtmug4ZAKysrJ0C/pftr4iL0mSsGzZMpQqVQrXr1/HO++8Y+iIZAZmzJiBs2fPwt3dHRs3bnyubDVr9r8TlLnOggrh/PnzyMnJgaenJypXrgwAaNWqFSIiIvDDDz/A0dERJ06cQL169fD+++8jjVsbExVIiRJesLOz032enJIiME3hsFgI4uTkhNatWwPg7lD0zOHDh5GWloYyZcqgcePG+XqMp6cnVq9eDQD4448/dAfrkXXasGEDFixYAABYs2YNypUr99zXtVtdc8SCCkP778bf3/+5EVWFQoH3338f165dQ+/evZGbm4uffvoJNWvWxNatW3nVnqiANBoNQsNPYv7CPxB5957oOAXCYiEQt52lvLSH4vXu3RsyWf7/a7Zv3x7vvfceAGDUqFF4YAHb1RWEUqnEqrV/YtXaP616PvONGzcwevRoAMDMmTPRpUuX/9xHO2Jx4cIFs14cSGLkLRYvUq5cOWzZsgU7d+5EhQoVEB0djT59+qBbt26IjIw0ZlQis/f4cfz/dor6G9ExMaLj5BuLhUDaYhESEoKkpCSxYUio3Nxc7NixA0D+pkH92zfffIMGDRrg6dOnGDp0qFVtQavRaHA/Khr3o6Kt9spoRkYG+vXrh7S0NAQGBuKrr7564f0qVaoELy8v5OTk6ObKE+XX64qFVrdu3XD16lV8/PHHUCgU2LNnD2rVqoVvvvmGhZYoHyRJQveunVHS2xvK3FyMnzAR169fFx0rX1gsBKpUqRKqV68OlUql22KUrFNISAgSEhLg7u6OVq1aFfjxtra2WLduHRwdHXHkyBHMnj3bACnJVE2aNAlXrlyBt7c31q9fDxsbmxfeT5IkrrOgQomOjsaDBw8gl8vzNVXT0dER33zzDS5fvoy2bdsiKysLn376KerWrYtDhw4ZITGRebOxscHF82fx94a/cPvmjf8cmGuqWCwE43QoAv5/N6gePXq89E3h6/j6+mLu3LkAnh2MdvbsWb3lI9O1fPlyrFy5EjKZDH/99RdKlSr1yvtznQUVhvbfS926dXVbYuaHr68vDh06hHXr1qFkyZK4efMmOnTogDfffBMPHz40VFyhJEmCq6sLXF1dXru7H9HLhIaG4vfff8flSxexePFi2Nvbi46ULywWgmmLxd69e61q+gr9P41Go1tf8bJD8fJr5MiR6Nu3L3JzczFo0CDuymLhLl68iEmTJgEAvv76a92GEK/CEQsqjPxOg3oRSZLw5ptv4vr165g6daquBGsvhuTm5uo7rlAKhQLTJk3EtEkToVAoRMchM5STk4OxY8cCePZzPTAwUHCi/GOxEKxFixZwcXFBfHw8zpw5IzoOCXD27FnExMTAyckJHTp0KNJzSZKExYsXo2zZsrh16xamTZump5RkalJSUtC/f39kZWWhc+fO+PDDD/P1uMaNG0Mmk+mmthDlR1GKhZarqyvmzJmDM2fOoEmTJkhNTcW0adPQuHFjFl2iPH766Sf8888/8PLy0p1FZC5YLARTKBTo2LEjAE6HslbaaVBdunTRy1Cnu7s71q5dC0mSsHz5cmzatKnIz0mmRaPRYPTo0bh16xZ8fHywZs2afO8kVqxYMdSpUwcARy0of7KysnSL/YtSLLQaNGiA8PBw/PHHHyhevDgiIiIQEBCAcePG4enTp0V+fiJzdvPmTXz99dcAgN9++w3u7u6CExUMi4UJ0E6H2rNnj+AkJELebWb1JTAwEDNnzgQAjB07FlFRUXp7blOkUCisasrB/PnzsWnTJigUCmzcuBEeHh4Ferz2zSGLBeXHhQsXoFQq4eXlhUqVKunlOWUyGcaOHYvr169j+PDh0Gg0WLx4MXx9fbFixQqznhqsVCqxdMVKLF2x0qq3wKaC02g0GD9+PLKzs9GxY0e8+eaboiMVGIuFCejcuTMA4Ny5cxa7mI1e7Nq1a7hx4wZsbW11BVNfvvjiCzRp0gRJSUkYPHgwVCqVXp/fVNja2mLmezMw870Zz50ybalOnTqFGTNmAHg2XK5dM1EQ2sdwATflx8sOxtOHEiVKYMWKFTh+/Dhq1aqFhIQE3Zzyy5cv6/W1jEWj0SD2YRxiH8ZZ7RbYVDirVq1CcHAwHBwcsHDhQrNc/M9iYQK8vb3RqFEjAM8WcZP10I5WtGvXDi4uLnp9boVCgXXr1qFYsWI4ceIEZs2apdfnJ+N78uQJ3njjDSiVSvTt2xdTp04t1PNoRyzOnTuHnJwcfUYkC6SP9RWv07JlS1y4cAE//fQTnJycEBISgvr16+O9997jJhRkFeLj43UXjb744gu9jQ4aG4uFieC2s9ZJu76iqLtBvUzlypWxYMECAM++UXHqi/lSq9UYOnQooqKiUKVKFSxbtqzQV7OqVq2K4sWLIysrCxcvXtRzUrI0xigWwLOLIe+++y6uXbuGPn36QKVSYfbs2ahRowY2b97Mq/9k0WbMmIGnT5/Cz88P06dPFx2n0FgsTIS2WBw8eJBXEK3E/fv3ce7cOchkMvTo0cNgrzNkyBC8+eabUKlUGDRoEFJSUgz2WiLk5uZi3YZNWLdhk8VtW5nXjz/+iD179sDOzg6bNm2Cq6troZ+LB+VRfuU9GE87sm5oPj4+2Lx5M3bv3o1KlSohJiYG/fr1Q9euXXHnzh2jZCAypoMHD2LNmjW6nR3Nec0gi4WJaNiwIby9vZGamooTJ06IjkNGsG3bNgDPthwuUaKEwV5HkiQsXLgQFSpUwN27d3XnHlgKtVqN23fu4PadO2a94PNVjh07ho8//hjAs4Xb9erVK/Jz8qA8yo/CHoynD126dMGVK1fw6aefwtbWFnv37kWtWrXw1VdfISsry6hZiAwlIyMD48ePBwBMmTIFTZo0EZyoaFgsTIRMJtMt4uZ0KOugr0Px8sPV1RVr166FTCbD2rVr8eeffxr8NUk/4v6vvTuPj/Hc2wB+zSSZJLJaQkLsWyxRSYRailZI7FqllNOFgyqqqJYudNNqq62qKtHSxdLiHGuJBFUUESEIkgZBhCQEWWSfmfcP7zMnWiLLzNzP88z1/Xzyed9Dkrnak0OuPPfv/qWlYcSIEaajUGPHjjXL5+UTCyoPax2DehBnZ2e8//77OHXqFEJCQlBYWIi5c+eiXbt2iIqKEpKJyJw++OADXLhwAb6+vvjwww9Fx6kyFgsZ4ZyF7cjIyMCBAwcAAEOGDLHKa3bt2hVz5swBAEycOBEXLlywyutS5UnH19LS0tCmTRssWbLEbLeEdOzYERqNBsnJyUhPTzfL5yT1EV0sJC1atEBkZCR++eUX+Pj4ICkpCX369MEzzzyDq1evCs12P9WcnVHN2Vl0DJK5kydPYsGCBQDuPo12c3MTnKjqWCxkpHfv3rC3t8dff/2Fc+fOiY5DFrRlyxYYDAYEBQWhYcOGVnvdt956C127dkVOTg5Gjx6t6pkENXj33Xfx+++/w8XFBevXrzfrURQPDw+0bt0aAJ9a0P2ZezFeVWk0GjzzzDNISEjA1KlTodVqsW7dOvj5+WHhwoWy+fNMp9PhtWlT8dq0qTZxBTZVjl6vx/jx41FSUoKnnnoKgwcPFh3JLFgsZMTDwwOPPfYYAD61UDtLLMUrD3t7e6xatQru7u44dOiQabsnyU9ERITpsfjy5cvRqlUrs78G5yyoLMeOHTP7YjxzcHd3x8KFCxEbG4tHH30UOTk5mDZtGjp06MCvZVKMpUuXIjo6Gm5ubli0aJHoOGbDYiEzPA6lfllZWdi9ezcA68xX/F2jRo2wbNkyAMCHH37IywJkKCUlBaNHjwZw99iapbavcs6CymLJxXjm0L59e/z5558IDw9H9erVceLECXTp0gXjxo1DZmam6HhED5SamorZs2cDAObPn4969eoJTmQ+LBYyIxWLP/74g0uBVGr79u0oKipCy5YtLfJT6PIYMWIEnnvuORgMBowePRq3b98WkoP+qaioCMOHD0dmZiaCgoLw5ZdfWuy1pCcWMTExsjlGQvIhl/mKsmi1WowbNw6JiYl48cUXAQDfffcdWrZsiRUrVgi5Ka64uBg/rlqNH1etRnFxsdVfn+RvypQpyMnJwaOPPmq6EUotWCxkpmXLlmjSpAmKiopMP9UmdbH0UrzyWrx4MZo0aYLLly9jwoQJil0+pdPpMOfNWZjz5ixVnGd+4403cPjwYXh4eGD9+vVwdHS02Gv5+fnBw8MDeXl5OHXqlMVeh5THaDQqolhIvLy8sGLFCuzfvx9t27ZFZmYmxo4di8ceewwnT560ahaj0YhLl1Nw6XKKYv9cJcvZtGkTNm7cCHt7e4SHh0OrVde34ur6p1EBjUaDfv36AeBxKDXKz8/H9u3bAYgvFm5ubli7di3s7e2xbt06/Pjjj0Lz0N3Zm4ULFwIAfvzxRzRu3Niir6fVatGpUycAnLOge6WkpODq1atWXYxnDt26dcOxY8ewYMECuLi44ODBgwgMDMSMGTOQk5MjOh7ZuOzsbEyePBkAMHPmTPj7+wtOZH4sFjIkHYfavn07f9qhMrt27cKdO3dQv359BAUFiY6Djh074r333gMATJ48GUlJSYIT2a5z586ZjnK89tprVrshhHMWdD9S0XzkkUesvhivqhwcHDBjxgwkJCTg6aefhl6vxxdffIFWrVphw4YN/HuVhHn77beRmpqKpk2b4p133hEdxyJYLGSoZ8+eqFatGlJTU3HixAnRcciMSt8GJZdhyDfeeAM9evTAnTt38Oyzz6KoqEh0pAopKSnB+v9uxPr/blTsnEB+fj6GDRuG7OxsdOvWDR999JHVXls65sJiQaVJXw9KOAb1IL6+vli/fj22b9+OJk2aIDU1FcOGDUPfvn15pTtZXXR0NBYvXgzg7o1Qzirdc8JiIUNOTk7o1asXAB6HUpOSkhJs2bIFgPWvmS2LnZ0dfv75Z1SvXh1Hjx7F3LlzRUeqEIPBgLMJiTibkChkUNMcpk6diri4OHh5eeGXX36Bg4OD1V5bOgqVlJSEGzduWO11Sd6UNF/xMH379kV8fDzmzJkDnU6HnTt3om3btnjvvfdQUFAgOh7ZgOLiYowfPx5GoxH/+te/EBISIjqSxbBYyBSvnVWfffv24ebNm6hVqxa6desmOs496tevj+XLlwMAPvnkE/z++++CE9mOn3/+GcuXL4dGo8Hq1autfu1g9erV4efnB+DuT9SI5LYYzxycnZ3x3nvvIT4+Hr1790ZhYSHeffddtG3bFjt37hQdj1Tuyy+/xMmTJ1GzZk18/vnnouNYFIuFTEkD3IcPH+ZPEVVCOgY1aNAg2NvbC07zT0OHDsW///1v009UeA+85Z0+fdp01eCcOXPQu3dvITmkOQsOcBPwv8V4tWvXtvgFAtbWvHlz7Ny5E7/++it8fHxw/vx5hIWFYdiwYUhNTTXb6zg4OFj1ySPJ14ULF/Duu+8CAD7//HN4eXmJDWRhLBYyVb9+fbRr1w5GoxERERGi41AVGQwGbNq0CYD426DKsnDhQrRo0QKpqakYN24chxwtKDc3F8OGDUNeXh5CQkKEDvJxgJtKk/tivKrSaDQYPnw4EhIS8Oqrr0Kr1WLDhg3w8/PDF198UeVZLZ1Oh9kzZ2D2zBmquAKbKs9oNGLixInIz8/HE088geeee050JItjsZAxHodSj5iYGKSmpsLV1dU0PyNHLi4uWLt2LRwcHLBx40Z89913oiOpktFoxIQJE3D27FnUrVsXq1evhp2dnbA80nGX6Oho6PV6YTlIHtQ0X1EWd3d3fPnll4iNjUXnzp2Rm5uLGTNmICgoCH/++afoeKQCa9asQWRkJBwdHbF06VJVFvW/Y7GQMalYREREKPa2G7pLWorXv39/ODk5CU5TtsDAQNOtRFOnTkVCQoLgROqzbNkyrFmzBnZ2dvj1119Ru3ZtoXnatGkDV1dX5Obm4syZM0KzkFilF+NJT7LUrn379jhw4AC+++471KhRAydPnkS3bt0wduxYHkWmSsvMzMS0adMAAO+88w6aN28uOJF1sFjI2KOPPooaNWrg9u3bPPusYEaj8Z5rZpVg+vTpCAkJQX5+PkaOHInCwkLRkVQjNjYWU6dOBQDMnz9fFoP8dnZ26NixIwDOWdg6pS7GqyqtVouxY8ciMTERY8eOBQCsWLECLVu2xHfffVehG+dKSkqw5tf1WPPrev5Q0IbNnDkT169fR5s2bTBz5kzRcayGxULG7OzsEBYWBgCmbc2kPGfOnEFSUhJ0Op1pKF/utFotfvzxR9SsWRNxcXF46623REd6IAcHB8x6bTpmvTZd9sOSt2/fxrBhw1BUVIRBgwZhxowZoiOZcM6CAGUvxjOHWrVq4bvvvsOBAwfg7++PmzdvYty4cejWrVu590oZDAacO38e586fV+wV2FQ1e/fuxcqVKwEA4eHhNjVrw2Ihc9I3opyzUC7paUWfPn3g5uYmOE351a1bFytWrABw9yaLyMhIwYnuT6PRQKfTQafTyfr8qtFoxIsvvojk5GQ0atQIP/zwg6zySufp+cTCttnKfMXDdO3aFceOHcMXX3wBV1dXHDp0CIGBgZg2bRqys7NFxyMZKygowIQJEwAAEydORJcuXQQnsi4WC5kLCwuDVqvFqVOncPnyZdFxqBKk+QqlHIMqbdCgQXj55ZcBAM8//zyuX78uOJFyffHFF9i0aRN0Oh02bNiA6tWri450D2lRXkJCAm7duiU4DYnCYvE/9vb2mDZtGs6ePYthw4bBYDBg4cKFaNWqFdatW8db8+i+PvroI/z111/w8fHBxx9/LDqO1bFYyFzNmjVNRxR4HEp5kpOTcfz4cWi1WgwaNEh0nEpZsGABWrdujbS0NIwZM0Z2f5mWlJRg89Zt2Lx1m2zPM//555944403ANy90jcoKEhwon/y8vJCs2bNAHBRnq0qKCjA8ePHAbBYlObr64t169Zhx44daNq0Ka5evYpnnnkGYWFhSEpKEh2PZOTMmTOYP38+AGDRokXw8PAQnMj6WCwUgNfOKpe0u6J79+6oVauW2DCV5OzsjLVr18LR0RHbtm3DkiVLREe6h8FgwIlT8ThxKl6W55mvX7+OZ555Bnq9HiNHjjQtxJMjzlnYttjYWNUuxjOHsLAwxMfH491334WjoyMiIyPRtm1bzJ07F/n5+aLjkWAGgwHjx49HcXExBg4ciKFDh4qOJASLhQJIxWL37t38w0thpPkKOS/FK4927drh008/BQDMmDED8fHxghMpg16vx+jRo5GamoqWLVti2bJlspqr+DvOWdg2tS/GMwcnJyfMnTsXp06dQmhoKIqKivD+++/D39+fy2xt3HfffYc///wTLi4uWLx4sc3+b4jFQgHatWsHX19f5OfnY+/evaLjUDmlp6ebliwNGTJEbBgzmDJlCvr27YvCwkKMHDmSJbcc5s2bh8jISDg7O2PDhg2yH96XnlhER0fL8ukPWRbnK8qvefPm2LFjB9avX4969erh/Pnz6Nu3L55++mlcuZIqOh5Z2bVr1/D6668DuPvnfoMGDQQnEofFQgE0Gg1vh1KgzZs3w2g0Ijg4GPXr1xcdp8o0Gg1WrlyJ2rVrIz4+3jQzQPe3a9cuvPvuuwCApUuXom3btmIDlUO7du3g7OyMrKwsJCYmio5DVlR6MR6LRfloNBo8/fTTOHv2LKZPnw47Ozv85z//Qbt2/qims8fsmTNs6ppRW/bqq68iKysLHTp0wOTJk0XHEYrFQiFKz1nIbXiW7k9pS/HKo06dOvjxxx8BAF9//TWL7gOkpqbi2WefhdFoxL///W8899xzoiOVi729PYKDgwHwOJStSUlJwbVr12Bvb29Ti/HMwc3NDZ9//jmOHTuGLl264M6dO5g5cyY6dOiAq1evio5HFvbbb79h3bp1sLOzQ3h4OOzs7ERHEorFQiF69eoFR0dHXLx4EWfPnhUdhx7i9u3b2LNnDwDlz1f8XVhYmGlz9Isvvoi0tDTBieSluLgYI0aMwPXr1/HII49g0aJFoiNViPTTag5w25bSi/GqVasmOI0ytWvXDvv378f333+PmjVr4uTJkwgNDcXNmzdFRyMLyc3NNV3JPm3aNAQEBAhOJJ5Fi8XNmzcxatQouLu7w9PTE2PHjkVubm6ZH9OzZ09oNJp73uR8i4q1uLi4oGfPngB4HEoJfvvtNxQXF6N169Zo2bKl6DhmN3/+fLRr1w7Xr1/H888/z/P4pbz99ts4cOAA3NzcsH79ejg7O4uOVCHSnAWfWNgWHoMyD61WizFjxuDIkSPw8fFBfHw8BgwYgDt37oiORhYwd+5cXL58GQ0bNjQdfbV1Fi0Wo0aNwunTpxEVFYVt27Zh3759GD9+/EM/bty4cbh27ZrpTbqNxtZJx6G4z0L+lLwUrzycnJywdu1aODk5ITIyEl999ZWwLA4ODpgx9RXMmPoKHBwchOUAgC1btpj+vFq5ciWaN28uNE9lSMXi9OnT3DBsQ1gszKtJkybYuXMnPD09cejQITz11FMoKioSHYvMKDY2FgsXLgQAfPvtt3BxcREbSC6MFnLmzBkjAGNMTIzp13bs2GHUaDTG1NTUB35cjx49jFOnTq3062ZlZRkBGLOysir9OeTq3LlzRgBGe3t74+3bt0XHoQfIy8szVqtWzQjAGBsbKzqORS1ZssQIwKjT6YzHjx8XHUeoCxcuGD09PY0AqvRnmBw0atTICMAYFRUlOgpZQX5+vtHBwcEIwHjhwgXRcVTl4MGDpr8Phg8fbiwpKREdicyguLjYGBgYaARgHDFihOg4FleR760t9sTi0KFD8PT0vGcILCQkBFqt9qFbXVevXo1atWqhbdu2mD17NvLy8iwVU1GaNm2Kli1boqSkBJGRkaLj0ANERkYiLy8PDRs2VP15y5deegmDBg1CUVERRo4cabP/Wy0sLMTw4cNx+/ZtPProo4p/yspFebal9GK8Ro0aiY6jKp07d8Z///tfODg4YN26dXj55Zd5AYsKLFq0CMeOHYOnp6fpqQXdZbFikZaWhtq1a9/za/b29qhRo0aZw57PPvssVq1ahd9//x2zZ8/Gzz//jNGjRz/w/QsLC5GdnX3Pm5pxC7f8lb4NSu0LcjQaDb7//nv4+PggISEB06dPt3qGkpISbI+IxPaISJSUlFj99QFg+vTpOHr0KGrUqIFff/1V8VdMclGebeFiPMsKDQ3FqlWroNFoEB4ejrfeekt0JKqCS5cu4Z133gEAfPbZZ6hTp47gRPJS4WIxa9asfwxX//0tISGh0oHGjx+P0NBQ+Pv7Y9SoUfjpp5+wceNGnD9//r7v//HHH8PDw8P0poZ9AWWRisWOHTs4MCtDxcXF2Lp1KwD1zlf8Xa1atfDTTz8BAJYtW4ZNmzZZ9fUNBgOOHjuGo8eOCfnfxC+//IIlS5YAAFatWqWKxUiln1jwp6vqx/kKyxs+fDiWLl0K4O73LZ9//rngRFQZRqMRkyZNQl5eHh577DGMGTNGdCTZqXCxmDFjBs6ePVvmW5MmTeDt7Y2MjIx7PrakpAQ3b96Et7d3uV+vU6dOAIBz587d9/dnz56NrKws01tKSkpF/5EUpVu3bnBzc0NGRgaOHj0qOg79zR9//IFbt27By8sLXbt2FR3HakJCQjBz5kwAwNixY5GaahubZxMTEzFu3DgAwJtvvom+ffsKTmQe7du3h6OjI27evImkpCTRcciCjFyMZzXjx4/HRx99BAB47bXXsGLFCsGJqKLWr1+P3377DTqdDsuWLYNWy60Nf1fhfyNeXl7w8/Mr802n06Fz5864ffs2YmNjTR+7Z88eGAwGU1koj7i4OACAj4/PfX/f0dER7u7u97ypmU6nQ58+fQDwOJQcScegBg8ebHNLcj788EMEBgbi5s2beO6551T/RC0vLw9PP/00cnNz0bNnT7z33nuiI5mNTqdDUFAQAM5ZqN3ly5e5GM+KZs2ahRkzZgC4ewOm9HcGyd+tW7fwyiuvALj7Q+1WrVoJTiRPFqtarVq1QlhYGMaNG4cjR47gzz//xOTJkzFixAjUrVsXwN3ttH5+fjhy5AgA4Pz58/jggw8QGxuLixcvYsuWLXjuuefQvXt3tGvXzlJRFYdzFvJkMBhMx4DUthSvPHQ6HdasWYNq1aphz549WLBggehIFmM0GvHyyy8jPj4e3t7eWLt2Lezt7UXHMivOWdgGLsazLo1Gg88++wxjxoyBwWDAyJEjsXv3btGxqBxmzZqF9PR0tGzZErNnzxYdR7Ys+gxn9erV8PPzQ69evdCvXz9069YN4eHhpt8vLi5GYmKi6SYZnU6HXbt2oU+fPvDz88OMGTMwdOhQ05l1uks6bhEbG4tr164JTkOS6OhoXLt2DW5ubnjiiSdExxGiZcuWpk3Tb731lmqP661YsQI//vgjtFot1q5dW6HjnUrBm6FsA49BWZ9Go8GyZcvw5JNPoqioCEOGDEFMTIzoWFSGAwcOmL5/DQ8Ph6Ojo+BE8mXRYlGjRg2sWbMGOTk5yMrKwooVK+Dq6mr6/UaNGsFoNJo2StevXx9//PEHMjMzUVBQgKSkJHz66aeqP95UUd7e3qZH1jt27BCchiTSUrwBAwbY9B86Y8aMwdNPP42SkhI8++yzyM3NFR3JrE6cOIHJkycDAD744APTn19qI32jefLkSdX9d0j/w2Ihhr29PdasWYMnnngCubm56Nu3L86cOSM6Ft1HYWGhabnz2LFj0b17d8GJ5I1TJwrF41DyYjQaTWdlbfEYVGnSlYq+vr5ISkrC1KlTRUcym+zsbAwbNgwFBQXo168fZs2aJTqSxdSrVw++vr53b91S6ZMnW5efn4/jx48DYLEQwcnJCZs2bUJwcDAyMzPRp08fXLp0SXQs+ptPP/0UZ8+eRe3atRW/o8gaWCwUSioWUVFRKCoqEpyG4uPjcf78eTg6OiIsLEx0HOGqV69uurd9xYoVWL9+vcVey8HBAa+8/BJeefklODg4WOx1jEYjxo4di6SkJDRo0AA//fST6m8E4ZyFuh07dgwlJSWoU6cOF+MJ4ubmhu3bt6NVq1ZITU1F7969kZ6eLjoW/b/ExER8+OGHAICFCxeiRo0aghPJn7r/VlSxoKAg1K5dGzk5OThw4IDoODZPeloRGhp6z3E/W9ajRw+8+eabAO5es3j58mWLvI5Go4Gnpyc8PT0tutzr66+/xoYNG0wbdGvWrGmx15ILzlmoGxfjyUOtWrUQGRmJBg0aICkpCWFhYcjKyhIdy+YZjUa89NJLKCoqQlhYGEaMGCE6kiKwWCiUVqs1DXHzOJR40nyFrSzFK6+5c+eiU6dOuH37NkaPHg29Xi86UqVER0fjtddeAwAsWLCgQldmK5n0xIKL8tSJ8xXy4evri6ioKHh5eSEuLg4DBw5Efn6+6Fg27YcffsDevXvh7OyMJUuWsHyXE4uFgnHOQh7Onz+PEydOwM7ODgMHDhQdR1YcHBywevVquLq6Yv/+/fj444/N/hp6vR5Ru/cgavceixSXzMxMDB8+HMXFxRg6dCimTJli9teQq4CAADg4OCAjIwPJycmi45AZcTGe/LRo0QI7d+6Eu7s79u/fb/pzh6wvIyPDtG/k/fffR+PGjQUnUg4WCwXr06cP7O3tkZiYiPPnz4uOY7OkpxU9evSwieMxFdW0aVMsWbIEAPDuu++a/ViNXq/HoegjOBR9xOzFwmAw4LnnnsPly5fRrFkzfP/99zb1UysnJycEBgYC4HEoteFiPHkKCAjA1q1b4eTkhG3btuHFF19U/bJROZo+fTpu3bqF9u3b49VXXxUdR1FYLBTMw8MD3bp1A8CnFiJJxcLWb4Mqy+jRozFy5Ejo9Xo8++yzyM7OFh2pXD755BNs374dTk5O2LBhAzw8PERHsjppzoID3Ooi/ffZvn17ODs7C05DpXXv3h3r16+HnZ0dVq9ejVdffZVHEa1o586dWL16NbRaLcLDw1W3/NTSWCwUjsehxLp27RoOHjwIABgyZIjYMDKm0Wjw7bffolGjRkhOTsakSZNER3qovXv34u233wYALF68GI888ojgRGJwgFudeAxK3gYMGIAff/wRwN2LI95//33BiWxDXl4eJk6cCACYMmUKgoODBSdSHhYLhZOKxd69e7nESoDNmzcDADp16oR69eoJTiNvHh4eWLVqFbRaLVatWoXVq1eLjvRAaWlpGDFiBAwGA55//nmMGTNGdCRhpG884+LiOEyqIlKxkIojyc+oUaOwaNEiAHePkX799deCE6nf+++/j+TkZPj6+uKDDz4QHUeRWCwUzs/PD40bN0ZRURF2794tOo7N4VK8iunatSvmzJkDAJg4cSIuXLggONE/6fV6jBw5Eunp6WjTpg2++eYbm5qr+LsGDRrA29sbJSUliI2NFR2HzICL8ZRjypQpePfddwEAr7zyClatWiU2kIqdOHECCxYsAAAsWbIEbm5ughMpE4uFwmk0Gh6HEuTWrVv4/fffAfCa2Yp466230LVrV+Tk5GD06NEoKSkRHekec+fOxd69e+Hq6ooNGzbAxcVFdCShNBoNF+WpTGxsLBfjKcicOXNMt9G98MIL2LZtm+BE6qPX6zF+/Hjo9XoMHTqUNzxWAYuFCkjFYvv27RzwsqJt27ahpKQEbdu2RfPmzUXHUQx7e3usWrUK7u7uOHTokKweN+/YsQPz5s0DACxfvhx+fn6CE8kD5yzUhYvxlEWj0WDhwoWmXUDDhg3Dvn37RMdSlSVLluDIkSNwd3c3HT+jymGxUIGePXvC2dkZqampOHnypOg4NoNL8SqvUaNGWLZsGQDgww8/xP79+yv9uRwcHPDSuLF4adxYODg4VPrzXL58GaNHjwYAvPzyy9yyWkrpJxb84YXycXBbebRaLVasWIEBAwagoKAAAwcONB1no6pJSUnBm2++CQCYP38+6tatKziRsrFYqICTkxN69eoFgMehrCUvLw8REREAOF9RWSNGjMDzzz8Pg8GA0aNH4/bt25X6PBqNBrW9vFDby6vSP30tKirC8OHDcfPmTQQFBeGLL76o1OdRq6CgINjb2+PatWtISUkRHYeqgIvxlMvBwQHr1q1D9+7dkZ2djdDQUPz111+iYynelClTkJubi86dO2PChAmi4ygei4VKcM7Cunbu3In8/Hw0atTIZq8hNYevv/4aTZs2xeXLlzFhwgRhPw1/4403EB0dDU9PT6xfvx6Ojo5CcshVtWrVTF/nnLNQtkuXLiEtLY2L8RTK2dkZW7ZsQUBAAK5fv47evXvjypUromMp1saNG7F582bY29sjPDwcWi2/La4q/htUiX79+gG4ewY6MzNTcBr1K30bFM8oV56bmxvWrFkDe3t7rFu3znRve0Xo9Xrs3bcfe/ftr9Tm7f/85z9YuHAhAODHH39E48aNK/w5bAHnLNSBi/GUz8PDAxEREWjevDkuX76MPn364MaNG6JjKU52djYmT54MAHj99dfRtm1bwYnUgcVCJRo0aAB/f38YDAbTER2yjKKiImzduhUA5yvMoWPHjqblT5MnT0ZSUlKFPl6v12PfgT+x78CfFS4W586dM+2omDlzJgYNGlShj7clvBlKHaRiyGNQyla7dm1ERUWhXr16OHv2LPr164ecnBzRsRTlzTffxNWrV9GsWTPTMlSqOhYLFeFxKOvYu3cvsrKyUKdOHf7lbCavv/46evTogTt37uDZZ59FUVGRxV8zPz8fTz/9NLKzs9GtWzfTbVB0f9ITi+PHj6OwsFBwGqoszleoR8OGDREZGYmaNWsiJiYGQ4YMQUFBgehYinD48GEsWbIEALB06VI+vTMjFgsVkYpFRESE7HYDqIl0DGrw4MGws7MTnEYd7Ozs8PPPP6N69eo4evQo5s6da/HXfOWVV3DixAl4eXnhl19+qdKNUragSZMm8PLyQlFREW+jUSguxlOf1q1bY8eOHXB1dcWePXvw7LPP8u//hyguLsa4ceNgNBrx3HPPmS6/IfNgsVCRRx99FNWrV8etW7d4DtpC9Ho9Nm3aBIC3QZlb/fr1sXz5cgDAJ598Ylo+aAk//fQTvvvuO2g0GqxZswb16tWz2GuphUajMT214HEoZZIW43l7e6Nhw4ai45CZBAcHY9OmTdDpdNi4caPQizCU4PPPP0d8fDxq1qyJzz//XHQc1WGxUBF7e3uEhYUB4HEoSzl8+DDS09Ph4eGBxx9/XHQc1Rk6dCj+/e9/w2g04l//+pdFLiI4ffo0Jk6cCODulu2QkBCzv4ZaST/l5g8ulImL8dSrV69e+OWXX0z7LmbOnMlycR/nz5/He++9BwD44osvUKtWLcGJ1IfFQmU4Z2FZ0lK8AQMGQKfTCU6jTgsXLkSLFi2QmppqelxtLrm5uXj66aeRl5eH3r17c2CvgvjEQtk4X6FuTz75pOmp7+eff4758+cLTiQvRqMRL730EgoKCtCrVy/861//Eh1JlVgsVCYsLAxarRanTp3C5cuXRcdRFaPReM81s2QZLi4uWLt2LRwcHLBx40Z89913Zvm8RqMR48ePR0JCAurVq4fVq1dzRqaCgoODodVqkZKSgtTUVNFxqAK4GM82jBkzBgsWLABw99ajZcuWCU4kH6tXr8auXbvg5OSEpUuX8qmdhbBYqEzNmjVNP1XcsWOH4DTqcvLkSSQnJ8PJyQmhoaGi46haYGAgPvroIwDA1KlTkZCQ8MD3tbe3x9gXnsfYF56Hvb39A99v6dKlWLt2Lezs7PDrr7/Cy8vL7LnVztXVFf7+/gB4HEppSi/GCwoKEh2HLGjGjBmYPXs2AGDixIlYt26d4ETi3bhxA9OmTQMAzJkzB82aNROcSL1YLFSIx6EsQ3paERYWBhcXF8Fp1G/69OkICQlBfn4+Ro4c+cArTrVaLerV9UG9uj4P3JoaGxuLV199FQAwf/58dO3a1VKxVY+L8pSJi/Fsy7x580xD3KNHj8bOnTtFRxJq5syZuHHjBtq2bYvXXntNdBxVY7FQIWkL9+7du3mntRlJxYJL8axDq9Xip59+Qq1atRAXF4e33nqrUp/n1q1bGDZsGIqKijB48GDMmDHDzEltCxflKROPQdkWjUaDb775BsOHD0dxcTGeeuopHDx4UHQsIfbs2YMffvgBGo0G4eHhvFrcwlgsVOiRRx5BvXr1kJeXh71794qOowpJSUmIj4+Hvb09BgwYIDqOzfDx8cH3338P4O4wYmRk5D/eR6/X4+DhaBw8HP2PzdtGoxEvvvgikpOT0bhxY9NfLlR50hOL2NhYqywyJPNgsbA90n6g0NBQ5OXloX///jh16pToWFaVn5+PCRMmALh7LIxf/5bHYqFCGo3G9NSCx6HMQ7oNqmfPnqhRo4bgNLZl0KBBePnllwEAzz//PK5fv37P7+v1euza8zt27fn9H8Xi888/x+bNm6HT6bB+/Xp4enpaK7ZqtWjRAtWrV0dBQQFOnDghOg6VQ35+PuLi4gCwWNganU6H//znP+jcuTNu376NPn364MKFC6JjWc28efNw7tw5+Pj4mOb2yLJYLFSq9JwF77KuOqlY8DYoMRYsWIDWrVsjLS0NY8aMKdfX9IEDBzBr1iwAwFdffcWBVTMpvSiPcxbKcPToUS7Gs2EuLi7Ytm0b2rZti7S0NPTu3RvXrl0THcviTp8+jU8++QQAsHjxYnh4eAhOZBtYLFSqV69e0Ol0SE5OLvNGHXq41NRUHD58GBqNBkOGDBEdxyY5Oztj7dq1cHR0xLZt27BkyZIy3//69et45plnoNfrMXLkSNOjcDIPzlkoCxfjUY0aNRAZGYkmTZrgwoUL6NOnD27duiU6lsUYDAaMHz8eJSUlGDRoEGcjrYjFQqVcXV3Rs2dPADwOVVWbN28GcPdsuY+Pj+A0tqtdu3b49NNPAdy9TjE+Pv6+76fX6zFq1ChcvXoVfn5+CA8P5zdTZsYnFsrC+QoC7s6sRUVFwdvbG/Hx8ejfvz/u3LkjOpZFhIeH4+DBg3B1dcXixYv5d4AVsVioGK+dNQ8uxZOPKVOmoG/fvigsLMTIkSORn5//j/f58MMPERUVhWrVqmHDhg1wdXUVkFTdOnbsCI1Gg+TkZKSnp4uOQ2XgYjwqrUmTJoiMjISnpycOHTqEoUOHqu4ShqtXr+KNN94AcHfGon79+oIT2RYWCxWTisWBAweQlZUlOI0y3bx503SzFh+liqfRaPDDDz+gdu3aiI+PN/3lIdmzZw/ee+89AHcX4rVp00ZETNXz8PBA69atAfCphdxdunQJ6enpXIxHJv7+/vjtt9/g7OyMnTt34rnnnvvHxRdKNnXqVGRnZyM4OBiTJk0SHcfmsFioWNOmTdGyZUuUlJTc95pOeritW7dCr9ejXbt2aNq0qeg4BKB27dr48ccfAQBff/01IiL+t/hJGuweN24c/vWvf4mKaBM4Z6EM0n8/AQEBXIxHJl26dMHGjRvh4OCAX3/9FZMmTVLFRS9bt27Fhg0bYGdnh/DwcNjZ2YmOZHNYLFSOx6GqRroNik8r5CUsLMy0SXvcuH+jb58QHI0+hLS0NLRv3x5fffWV2IA2gHMWysBjUPQgoaGh+Pnnn6HRaLBs2TK8/fbboiNVSW5urukJxfTp09G+fXuxgWwUi4XKScVix44dMBgMgtMoS25uLnbuvPvTcM5XyM/HH3+Mdu3aISMjA2Ghodi6ZQvc3Nywfv16/mTWCqRvVGNiYlBSUiI4DT0IiwWV5ZlnnsG3334LAPjoo4/wxRdfCE5Uee+88w5SUlLQuHFjzJ07V3Qcm8VioXLdunWDm5sbMjIyEBsbKzqOokRERKCgoABNmjSBv7+/6Dj0N05OTli7di2cnJxw8+ZNAMDKlSvRrFkzwclsg5+fHzw8PJCXl2dz23yVgovxqDwmTJiAefPmAbh7497KlSsFJ6q4o0ePYtGiRQCAb7/9Fi4uLoIT2S4WC5XT6XTo3bs3AB6HqqjSS/F4VZ08tW7dGt988w00Gg3eeOMNPlmyIq1Wi06dOgHgcSi5khbj+fj4oEGDBqLjkIzNnj0bM2bMAAD8+9//xqZNm8QGqoCSkhKMGzcOBoMBI0eORGhoqOhINo3FwgZwzqLiioqKsG3bNgCcr5C7MWPGICsrC/PnzxcdxeZIcxYc4JYnLsaj8tJoNPjss8/w4osvwmAw4JlnnsGePXtExyqXr776CnFxcahevTq+/PJL0XFsHouFDejXrx+Auz+9SktLE5xGGfbs2YPs7Gx4e3ubvnki+XJzcxMdwSZxgFvepGLBP8OoPDQaDcLDwzFkyBAUFRVh8ODBiImJER2rTBcvXsScOXMAAJ999hnq1KkjOBGxWNgAb29v0/3lO3bsEJxGGaSleE8++SS0Wv7PhOh+pKNQSUlJuHHjhuA0VBoX41Fl2NvbY+3atXjiiSeQm5uLvn374uzZs6Jj3ZfRaMTEiRORl5eHHj16YMyYMaIjEVgsbAaPQ5WfXq/H5s2bAfAYFFFZatSogZYtWwIAoqOjBaeh0i5evMjFeFQpTk5O2LRpE4KDg5GZmYk+ffrg0qVLomP9w6+//oqIiAjodDosW7aMx/1kgsXCRkjFIjIyEkVFRYLTyNvBgweRkZEBT09P9OzZU3QcIlnjojx54mI8qgo3Nzds374drVq1wpUrV9C7d29kZGSIjmVy69YtTJ06FQDw5ptvmn7AQeKxWNiIDh06oHbt2sjJycGBAwdEx5E16TaogQMHwsHBQXAaInnjnIU88RgUVVWtWrUQGRmJBg0aICkpCWFhYcjKyhIdCwDwxhtvICMjA35+fpg1a5boOFQKi4WN0Gq16Nu3LwAehyqL0Wg0zVfw6lKih5O+cY2OjoZerxechiQsFmQOvr6+iIqKgpeXF44fP45BgwYhPz9faKb9+/dj+fLlAIDw8HA4OjoKzUP3YrGwIZyzeLi4uDhcunQJzs7O6NOnj+g4RLLXpk0buLq6Ijc3F2fOnBEdhwDk5eXhxIkTAFgsqOpatGiBiIgIuLu7Y9++fXjmmWdQXFwsJEthYSHGjx8PABg3bhwee+wxITnowVgsbEifPn1gZ2eHxMREnD9/XnQcWZKeVvTt2xfVqlUTnIZI/uzs7NCxY0cAnLOQCy7GI3MLDAzE1q1b4eTkhK1bt2LMmDEwGAxWzzF//nwkJCSgTp06+OSTT6z++vRwLBY2xMPDA926dQMAbN++XXAaeSp9zSwRlQ/nLORF+u+Bi/HInLp3745169bBzs4Oq1atwrRp02A0Gq32+gkJCfjoo48A3F2KV716dau9NpUfi4WN4XGoB0tMTMSZM2dgb2+PAQMGiI5DpBi8GUpeOF9BljJw4ED88MMPAIBFixbhgw8+sMrrGgwGTJgwAUVFRejbty+GDx9uldelimOxsDFSsdi7dy/u3LkjOI28SLdB9erVC56enmLDECmItCgvISEBt27dEpzGtnExHlna6NGj8dVXXwEA5s6di8WLF1v8NVeuXIl9+/ahWrVqWLJkCZ/EyRiLhY1p1aoVGjVqhMLCQuzevVt0HFmRigWPQRFVjJeXF5o1awYAOHLkiOA0tk1ajOfg4MDFeGQxr7zyCubOnQsAmDJlClavXm2x10pPT8fMmTMBAO+//z4aNWpksdeiqmOxsDEajYbHoe7jypUrOHLkCDQaDQYPHiw6DpHiSHMWPA4lVunFeE5OToLTkJrNnTsXkydPBgA8//zzFvueYtq0abh16xYCAgJMS/FIvlgsbJBULLZv327VwSs527RpEwCgS5cu8Pb2FhuGSIGkYzcc4BaLx6DIWjQaDb766iuMGjUKer0eTz/9NPbv32/W14iIiMDatWuh1WoRHh4Oe3t7s35+Mj8WCxvUs2dPODs748qVKzh58qToOLLApXhEVVP6ZigR11DSXSwWZE1arRYrV65E//79UVBQgAEDBuD48eNm+dx37tzBxIkTAdw9etWhQwezfF6yLBYLG+Ts7IxevXoB4HEoALhx4wb27dsHgPMVRJXl7+8PZ2dnZGVlITExUXQcm8TFeCSCg4MD1q9fj8ceewzZ2dkICwtDUlJSlT/ve++9h4sXL6JBgwZWu32Kqo7FwkZxzuJ/tm7dCr1ej/bt26Nx48ai4xApkoODA4KDgwFwzkKU0ovx6tevLzoO2RBnZ2ds3boV7du3R0ZGBnr37o0rV65U+vPFxcXhiy++AAB88803cHV1NVdUsjAWCxvVr18/AHePLWRmZgpOIxaX4hGZBxfliVX6GBSv4yRr8/DwQEREBJo1a4ZLly4hNDS0Ut9f6PV6jBs3zjS3wb1SysJiYaMaNGgAf39/GAwG7Ny5U3QcYXJychAVFQWA8xVEVcVFeWJxvoJEq1OnDqKiolCvXj2cOXMG/fr1Q05OToU+xzfffIOjR4/Cw8MDixYtslBSshQWCxsmPbWw5eNQO3bsQGFhIZo1a4Y2bdqIjkOkaNITi9OnTyM7O1twGtvCxXgkF40aNUJkZCRq1KiBI0eO4Mknn0RhYWG5PjYlJQVvvfUWAGD+/Pnw8fGxZFSyABYLGybNWURERECv1wtOI4a0FO+pp57i0QGiKvL29kajRo1gNBq5KM/KkpOTkZGRwcV4JAutW7fGjh074OLigt27d+PZZ59FSUlJmR9jNBoxadIk5ObmokuXLhg/fryV0pI5sVjYsM6dO6N69eq4efOmTZ6JLiwsND2t4TEoIvPgnIUYXIxHctOxY0ds3rwZOp0O//3vf/HSSy+VuTvrv//9L7Zu3QoHBweEh4dDq+W3qErE/9ZsmL29PUJDQwHY5nGo3bt3IycnB3Xr1jXdZkNEVcM5CzF4DIrkqFevXvjll1+g1Wrx/fff4/XXX79vucjKysKUKVMAAK+//jqPJisYi4WNs+VrZ0vfBsWfjBCZR+knFmX9dJLMS3pCxGJBcvPkk09i+fLlAIAFCxbgk08++cf7vPnmm7h27RqaN2+Ot99+29oRyYz43ZSNCwsLg0ajwcmTJ5GSkiI6jtXo9Xps3rwZAK+ZJTKn9u3bw9HRETdv3jTLkix6OC7GI7kbM2YMPvvsMwDA7NmzER4ebvq9Q4cO4dtvvwUALF26lEf5FI7FwsbVqlXL9BPG7du3C05jPQcOHMCNGzdQo0YNdO/eXXQcItXQ6XSm4WHOWViHtBivbt26XIxHsvXaa69h9uzZAICXXnoJ69evR1FREcaPHw+j0YgXXngBTzzxhOCUVFUsFmSTx6Gk26AGDhwIBwcHwWmI1EX6qTmLhXVwMR4pxbx58zBhwgQYjUaMGjUKo0aNQnx8PGrVqoUFCxaIjkdmwGJBpmKxe/duFBQUCE5jeUaj0TRfwdugiMxPegrKAW7r4OA2KYVGo8E333yD4cOHo7i4GBs2bAAAfPnll6hZs6bgdGQOLBaERx55BPXq1UNeXh727t0rOo7FxcbGIiUlBS4uLujdu7foOESqI32De/LkSdy5c0dwGnXjYjxSGjs7O/z888/o06cPAKB3794YNWqU4FRkLiwWBI1GY9rCbQtzFtIxqL59+8LZ2VlwGiL1qVevHnx9fWEwGBATEyM6jqqVXowXGBgoOg5Rueh0OmzevBmbN2/Gpk2beIRPRVgsCABMxeK3335T/RWRPAZFZHlclGcd0tOKwMBA3qZDiuLk5IRBgwahWrVqoqOQGbFYEAAgJCQEOp0OFy5cQGJioug4FnP27FkkJCTAwcHBVKaIyPy4KM86pH+/UpEjIhKJxYIAAK6urujRowcAdd8OJR2DCgkJgYeHh+A0ROrFRXnWwfkKIpITixWLefPmoUuXLqhWrRo8PT3L9TFGoxFz5syBj48PnJ2dERISwgVLVmQL185KxYJL8YgsKzAwEA4ODsjIyEBycrLoOKp0584dLsYjIlmxWLEoKirCsGHDMHHixHJ/zKeffopFixZh6dKliI6OhouLC0JDQ23iClQ5kIrF/v37kZWVJTiN+V2+fBlHjx6FRqPB4MGDRcchUjUnJycEBAQA4JyFpRw9ehR6vZ6L8YhINixWLN577z1MmzYN/v7+5Xp/o9GIhQsX4u2338bgwYPRrl07/PTTT7h69So2bdpkqZhUSrNmzdCiRQuUlJQgKipKdByzk76OunXrhtq1a4sNQ2QDOGdhWVyMR0RyI5sZi+TkZKSlpSEkJMT0ax4eHujUqRP/UrIiNR+H4m1QRNbFm6Esi/MVRCQ3sikWaWlpAIA6derc8+t16tQx/d79FBYWIjs7+543qjypWGzfvh0Gg0FwGvO5fv069u/fDwAYMmSI2DBENkL6hjcuLg75+fmC06gLF+MRkRxVqFjMmjULGo2mzLeEhARLZb2vjz/+GB4eHqY3njOtmsceewxubm7IyMhAbGys6Dhms2XLFhgMBgQGBqJRo0ai4xDZhAYNGsDb2xslJSWq+vNEDpKTk3H9+nUuxiMiWalQsZgxYwbOnj1b5luTJk0qFcTb2xsAkJ6efs+vp6enm37vfmbPno2srCzTW0pKSqVen+7S6XTo3bs3AHUdh5KOQfE2KCLr0Wg0nLOwEC7GIyI5qlCx8PLygp+fX5lvOp2uUkEaN24Mb29v7N692/Rr2dnZiI6OLvMxr6OjI9zd3e95o6opfRxKDbKzs7Fr1y4AnK8gsjbOWVgGj0ERkRxZbMbi8uXLiIuLw+XLl6HX6xEXF4e4uDjk5uaa3sfPz8+0V0Cj0eDVV1/Fhx9+iC1btuDUqVN47rnnULduXZ6Jt7K+ffsCAGJiYv7xBEmJtm/fjqKiIrRs2RKtWrUSHYfIppR+YsFFeebDYkFEcmSxYjFnzhwEBARg7ty5yM3NRUBAAAICAnD06FHT+yQmJt6zL+H111/HlClTMH78eAQHByM3NxcRERF8zGtlPj4+pjO7O3bsEJym6kovxeOVjETWFRQUBHt7e1y7do1HVc2Ei/GISK4sVix++OEHGI3Gf7z17NnT9D5GoxEvvPCC6T9rNBq8//77SEtLQ0FBAXbt2oUWLVpYKiKVQS3XzhYUFJiOdPEYFJH1VatWDY888ggAHocyF2kxXr169XhhCRHJimyumyV5kYpFZGQkiouLBaepvF27diE3Nxe+vr7o0KGD6DhENkmas+AAt3nwGBQRyRWLBd1XcHAwvLy8kJ2djQMHDoiOU2mlb4PiMSgiMaRvgPnEwjxYLIhIrlgs6L60Wq1piFupx6FKSkqwZcsWALxmlkgk6YnFsWPHUFhYKDiNsnExHhHJGYsFPZDS5yz279+PzMxM1KxZE4899pjoOEQ2q0mTJqhVqxaKiopw/Phx0XEU7cKFC6bFeAEBAaLjEBHdg8WCHqhPnz6ws7NDQkICLly4IDpOhUnHoAYNGgR7e3vBaYhsFxflmQ8X4xGRnLFY0AN5enqiW7duAJT31MJgMJiumeVtUETicVGeefAYFBHJGYsFlUmpx6GOHj2K1NRUuLq6IiQkRHQcIpvHJxbmwWJBRHLGYkFlkorF3r17cefOHcFpyk96WtGvXz8eFyCSgeDgYGi1WqSkpCA1NVV0HEW6c+cOTp48CYDFgojkicWCytSqVSs0bNgQhYWF2LNnj+g45WI0Gk3zFTwGRSQPrq6u8Pf3B8DjUJUVExPDxXhEJGssFlQmjUajuONQZ8+exV9//QWdTme6MpeIxOOcRdVI/974tIKI5IrFgh6qdLEwGo2C0zyc9LSid+/ecHd3F5yGiCScs6gazlcQkdyxWNBDPf7443B2dsaVK1dw6tQp0XEeSpqv4FI8InmRnljExsaiqKhIcBpl4WI8IlICFgt6KGdnZzzxxBMA5H8c6uLFizh27Bi0Wi0GDRokOg4RldKiRQtUr14dBQUFOHHihOg4iiItxtPpdAgMDBQdh4jovlgsqFyUMmexadMmAMBjjz0GLy8vsWGI6B4ajYZzFpVUejGeo6Oj4DRERPfHYkHlIhWLQ4cOITMzU3CaB+NtUETyJh3jYbGoGB6DIiIlYLGgcmnQoAHatm0Lg8GAnTt3io5zX+np6Thw4AAAYMiQIWLDENF9SU8sOMBdMSwWRKQELBZUbnI/DrVlyxYYjUZ06NABDRo0EB2HiO6jY8eO0Gg0SE5ORnp6uug4isDFeESkFCwWVG5SsYiIiIBerxec5p94DIpI/jw8PNC6dWsAPA5VXtJiPF9fX/j6+oqOQ0T0QCwWVG6dO3eGp6cnbt68KbtvCLKysrB7924AvGaWSO44wF0x0jEo6d8bEZFcsVhQudnb2yM0NBQAsH37dsFp7vXbb7+huLgYrVq1gp+fn+g4RFQGLsqrGM5XEJFSsFhQhch1zoJL8YiUQ/rJe0xMDEpKSgSnkTcuxiMiJWGxoAoJCwuDRqPBiRMncOXKFdFxAAD5+fmmJyicryCSv1atWsHd3R15eXk4deqU6Diydv78edy4cYOL8YhIEVgsqEK8vLzQqVMnAPI5DhUVFYW8vDw0aNCAf/ESKYBWqzX9OcI5i7JxMR4RKQmLBVWY3I5DSbdBPfnkk9BoNILTEFF5cM6ifHgMioiUhMWCKkwqFrt27UJBQYHQLMXFxdiyZQsAzlcQKQlvhiof6d8PiwURKQGLBVVY+/btUbduXeTl5eGPP/4QmmXfvn24desWvLy80K1bN6FZiKj8pKNQSUlJuHHjhuA08sTFeESkNCwWVGEajQb9+vUDIP44lHQMatCgQbCzsxOahYjKr0aNGmjZsiUAIDo6WnAaeeJiPCJSGhYLqpTScxZGo1FIBoPBgE2bNgHgbVBESsQ5i7JxvoKIlIbFgiolJCQEOp0OFy5cQGJiopAMR44cwdWrV+Hm5oZevXoJyUBElcc5i7KxWBCR0rBYUKW4urqiR48eAMQdh5KW4vXv35/XMBIpkPQNc3R0NPR6veA08sLFeESkRCwWVGnSnIWIfRZGo9E0X8FjUETK1KZNG7i6uiI3NxdnzpwRHUdWSi/GCwgIEB2HiKhcWCyo0qQ5i3379iE7O9uqr3369GmcO3cOjo6O6Nu3r1Vfm4jMw87ODh07dgTA41B/Jz2tCAoK4hNZIlIMFguqtObNm6N58+YoKSlBVFSUVV9belrRp08fuLq6WvW1ich8pDkLDnDfi8egiEiJWCyoSkRt4ZbmK7gUj0jZOMB9fywWRKRELBZUJVKx2L59OwwGg1Ve88KFC4iLi4OdnR0GDhxoldckIsuQisXZs2dx69YtwWnkITc317QYT/r3Q0SkBCwWVCXdu3eHq6sr0tPTcezYMau8pvS0onv37qhVq5ZVXpOILMPLywtNmzYFcPcKabq7GM9gMHAxHhEpDosFVYlOp0Pv3r0BWO84lFQseBsUkTpwUd69eAyKiJSKxYKqzJpzFmlpaTh48CAAYMiQIRZ/PSKyPM5Z3IvFgoiUisWCqkzaZxETE4P09HSLvtbmzZthNBrRsWNHHhEgUgnpG+jDhw9bbVZLroxGo6lgsVgQkdKwWFCV+fj4IDAwEACwY8cOi74Wl+IRqY+/vz+cnZ2RlZWFxMRE0XGE4mI8IlIyFgsyC2sch7p9+zb27NkDgNfMEqmJg4MDgoODAXDOgovxiEjJWCzILKTjUJGRkSguLrbIa2zbtg0lJSVo06YNWrRoYZHXICIxOGdxF+criEjJWCzILIKDg1GrVi1kZ2fjzz//tMhrcCkekXrxZqi7WCyISMlYLMgs7Ozs0LdvXwCWOQ6Vl5dnmt/gfAWR+khPLE6fPo3s7GzBacQovRiPxYKIlIjFgszGknMWO3fuRH5+Pho2bIj27dub/fMTkVje3t5o1KgRjEajzS7Kkxbj1a9fH/Xq1RMdh4iowlgsyGxCQ0NhZ2eHs2fPIjk52ayfu/RSPI1GY9bPTUTyYOtzFjwGRURKx2JBZuPp6YmuXbsCMO9Ti+LiYmzduhUA5yuI1Kz0PgtbxGJBRErHYkFmZYnjUHv37sXt27dRu3ZtdOnSxWyfl4jkpfQTC6PRKDiNdXExHhGpAYsFmZVULH7//XfcuXPHLJ9TWoo3ZMgQ2NnZmeVzEpH8tG/fHo6OjsjMzMS5c+dEx7Gqc+fO4caNG3B0dORiPCJSLBYLMqvWrVujYcOGKCwsNC2zqwqDwYBNmzYB4DEoIrXT6XQICgoCYHvXzpZejKfT6QSnISKqHBYLMiuNRmPW41CHDx9GWloa3N3d8cQTT1T58xGRvNnqALdULKR/fiIiJWKxILMrXSyqek5aug1qwIAB/CkekQ2w1UV5HNwmIjVgsSCze/zxx+Hk5IQrV64gPj6+0p/HaDSa5iu4FI/INkg/sT958qTZ5rTkLicnB6dOnQLAYkFEysZiQWbn7OxsOrZUleNQp06dwoULF+Dk5ISwsDBzxSMiGfP19YWvry8MBgNiYmJEx7EKLsYjIrVgsSCLMMechfS0IjQ0FC4uLmbJRUTyZ2tzFjwGRURqwWJBFiEVi4MHD+LmzZuV+hxSseBtUES2xdbmLLi/gojUgsWCLKJhw4Zo06YNDAYDdu7cWeGPP3fuHE6dOgU7OzsMHDjQAgmJSK5saVEeF+MRkZqwWJDFVOU4lHQb1OOPP44aNWqYNRcRyVtgYCAcHByQkZGB5ORk0XEsiovxiEhNWCzIYqRiERERAb1eX6GPlYoFj0ER2R4nJyfTN9lqn7PgYjwiUhMWC7KYLl26wNPTE5mZmYiOji73x129etX0l+2QIUMslI6I5MxW5iw4uE1EasJiQRZjb2+P0NBQABU7DrV582YAd89Z161b1yLZiEjebOVmKBYLIlITFguyqMrMWXApHhFJ32jHxcUhPz9fcBrL4GI8IlIbFguyqLCwMGg0Gpw4cQJXrlx56PvfvHkTe/fuBcD5CiJb1qBBA3h7e6OkpASxsbGi41iEtBivQYMGfDpLRKrAYkEW5eXlhU6dOgEAtm/f/tD337ZtG0pKSuDv749mzZpZOh4RyZRGozH9FF+tx6F4DIqI1IbFgiyuX79+AMpXLHgbFBFJpDkLtQ5ws1gQkdqwWJDFSXMWu3btQmFh4QPf786dO4iIiADA+QoiurdYqG1RXunFeNI/JxGR0rFYkMUFBATAx8cHd+7cwR9//PHA94uIiEBBQQEaN26Mdu3aWTEhEclRhw4dYGdnh2vXriElJUV0HLNKSkpCZmYmF+MRkaqwWJDFaTQa03Gosm6Hko5BPfXUU9BoNFbJRkTyVa1aNTzyyCMA1DdnwcV4RKRGLBZkFaWvnb3fkYaioiJs27YNAI9BEdH/qHVRHucriEiNWCzIKkJCQuDg4IDz58/jr7/++sfv//7778jKyoK3tzfPGxORiVoX5bFYEJEasViQVbi5uaFHjx4A7n8cSlqKN2TIEGi1/LIkorukb7yPHTtW5uUPSpKTk4P4+HgALBZEpC78Do6s5kFbuPV6PTZv3gyA18wS0b2aNGmCWrVqoaioCMePHxcdxyy4GI+I1MpixWLevHno0qULqlWrBk9Pz3J9zAsvvACNRnPPW1hYmKUikpVJxWLfvn3Izs42/fqhQ4eQnp4OT09P9OzZU1A6IpKj0ovy1DJnwWNQRKRWFisWRUVFGDZsGCZOnFihjwsLC8O1a9dMb2vXrrVQQrK25s2bo3nz5igpKUFUVJTp16XboAYMGMDbUYjoH9Q2Z8FiQURqZbFi8d5772HatGnw9/ev0Mc5OjrC29vb9Fa9enULJSQR/n4cymg0muYreBsUEd2Pmp5YlF6Mx2JBRGojuxmLvXv3onbt2mjZsiUmTpyIzMzMMt+/sLAQ2dnZ97yRfEn7LHbs2AGDwYC4uDhcvHgRzs7OCA0NFZyOiOQoODgYWq0WKSkpSE1NFR2nSqTFeE5OTmjfvr3oOEREZiWrYhEWFoaffvoJu3fvxieffII//vgDffv2hV6vf+DHfPzxx/Dw8DC91a9f34qJqaK6d+8OFxcXpKWl4fjx46ZjUGFhYahWrZrgdEQkR66urqan30o/DsXFeESkZhUqFrNmzfrHcPXf3xISEiodZsSIERg0aBD8/f0xZMgQbNu2DTExMdi7d+8DP2b27NnIysoyvaWkpFT69cnyHB0d0bt3bwB3j0PxGBQRlYda5iw4X0FEamZfkXeeMWMGXnjhhTLfp0mTJlXJ84/PVatWLZw7dw69evW67/s4OjrC0dHRbK9Jlte/f39s2rQJy5cvx5UrV2Bvb2+avSAiup/OnTtj2bJlLBZERDJWoWLh5eUFLy8vS2X5hytXriAzMxM+Pj5We02yPGnO4sqVKwCAJ554gkP6RFQm6YnF0aNHUVRUpMhjRFyMR0RqZ7EZi8uXLyMuLg6XL1+GXq9HXFwc4uLikJuba3ofPz8/0xn73NxczJw5E4cPH8bFixexe/duDB48GM2aNeNQr8rUrVsXAQEBpv/MpXhE9DDNmzdH9erVUVBQgJMnT4qOUylHjhyBwWBAw4YN+QMzIlIlixWLOXPmICAgAHPnzkVubi4CAgIQEBCAo0ePmt4nMTERWVlZAAA7OzucPHkSgwYNQosWLTB27FgEBQVh//79POqkQtLRJ41Gg8GDBwtOQ0Ryp9VqTU8tlHrtrJRb+ucgIlIbixWLH374AUaj8R9vpTcrG41G08yGs7Mzdu7ciYyMDBQVFeHixYsIDw9HnTp1LBWRBHrmmWeg0+kwYMAA/uSOiMpF6QPcnK8gIrWr0IwFkbm0bdsWly5dgoeHh+goRKQQSl6Ux8V4RGQLZLXHgmyLt7c3nJ2dRccgIoXo2LEjNBoNkpOTkZ6eLjpOhfz111+4efMmF+MRkaqxWBARkSJ4eHigdevWAJR3HErKy8V4RKRmLBZERKQYSp2z4HwFEdkCFgsiIlIMpc5ZsFgQkS1gsSAiIsWQnljExMSgpKREcJry4WI8IrIVLBZERKQYrVq1gru7O/Ly8nDq1CnRccqFi/GIyFawWBARkWJotVp06tQJgHLmLHgMiohsBYsFEREpitLmLFgsiMhWsFgQEZGiKOlmKC7GIyJbwmJBRESKIh2FSkpKwo0bNwSnKVvpxXiPPPKI6DhERBbFYkFERIpSo0YNtGzZEgAQHR0tOE3ZpGNQHTp04GI8IlI9FgsiIlIc6ViR3I9Dcb6CiGwJiwURESmONGch9wFuKZ+Ul4hIzVgsiIhIcaRv1I8cOQK9Xi84zf1lZ2dzMR4R2RQWCyIiUpy2bdvCxcUFOTk5OHPmjOg493XkyBEYjUYuxiMim8FiQUREimNnZ4eOHTsCkO+cBecriMjWsFgQEZEiyX1RHvdXEJGtYbEgIiJFkvOiPC7GIyJbxGJBRESKJBWLs2fP4tatW4LT3IuL8YjIFrFYEBGRInl5eaFp06YA7g5KywkX4xGRLWKxICIixZLrnAUHt4nIFrFYEBGRYsl1zoLFgohsEYsFEREplvSN++HDh2EwGASnuYuL8YjIVrFYEBGRYvn7+8PZ2RlZWVlITEwUHQfA/xbjNWrUCN7e3qLjEBFZDYsFEREploODA4KDgwHIZ86Cx6CIyFaxWBARkaLJbc6CxYKIbBWLBRERKVrpOQvRDAYDF+MRkc1isSAiIkXr1KkTACA+Ph7Z2dlCs/z111+4desWF+MRkU1isSAiIkXz8fFBw4YNYTQaERMTIzRL6cV4Dg4OQrMQEVkbiwURESmeXBblcb6CiGwZiwURESmeXAa4WSyIyJaxWBARkeKVHuA2Go1CMmRnZ+P06dP35CEisiUsFkREpHjt27eHo6MjMjMzce7cOSEZuBiPiGwdiwURESmeTqdDUFAQAHFzFjwGRUS2jsWCiIhUQfScBYsFEdk6FgsiIlIFkTdDcTEeERGLBRERqYT0xOLkyZO4c+eOVV9bWozn7OzMxXhEZLNYLIiISBV8fX3h6+sLg8Fg9UV5XIxHRMRiQUREKiJqzoLzFURELBZERKQiouYsWCyIiFgsiIhIRUo/sbDWorysrCwuxiMiAosFERGpSGBgIBwcHJCRkYHk5GSrvKa0GK9x48aoU6eOVV6TiEiOWCyIiEg1nJycEBAQAMB6cxY8BkVEdBeLBRERqYq1B7hZLIiI7mKxICIiVbHmAHfpxXhSoSEislUsFkREpCrSN/hxcXHIz8+36GslJibi9u3bXIxHRAQWCyIiUpmGDRvC29sbJSUliI2NtehrSU8ruBiPiIjFgoiIVEaj0VhtzoLzFURE/8NiQUREqmOtOQsWCyKi/2GxICIi1ZGeWBw6dMhii/K4GI+I6F4sFkREpDodOnSAnZ0drl27hpSUFIu8BhfjERHdi8WCiIhUp1q1aqZbmiw1Z8FjUERE92KxICIiVbL0nAWLBRHRvVgsiIhIlSx5M1TpxXgsFkREd7FYEBGRKknf8B87dgyFhYVm/dylF+O1a9fOrJ+biEipWCyIiEiVmjRpglq1aqGoqAjHjx836+eWjkEFBwdzMR4R0f9jsSAiIlXSaDQWm7PgfAUR0T+xWBARkWpZas6CxYKI6J9YLIiISLWkb/zNWSyysrJw5swZAP8rLkRExGJBREQq1qFDB2i1Wly+fBlXr141y+eMjo7mYjwiovtgsSAiItVyc3ND27ZtAZjvqQWPQRER3R+LBRERqZq5B7i5v4KI6P5YLIiISNXMOcDNxXhERA/GYkFERKomFYCjR4+iqKioSp+Li/GIiB6MxYKIiFStefPmqF69OgoKCnDy5MkqfS4uxiMiejAWCyIiUjWtVms6DlXVOQsObhMRPRiLBRERqZ655ixYLIiIHozFgoiIVM8cN0OVXozHYkFE9E8sFkREpHodO3aERqNBcnIy0tPTK/U5pMV4TZo0Qe3atc2ckIhI+VgsiIhI9Tw8PNC6dWsAlT8OxWNQRERls1ixuHjxIsaOHYvGjRvD2dkZTZs2xdy5cx961V9BQQEmTZqEmjVrwtXVFUOHDq30T5eIiIgkVZ2zYLEgIiqbxYpFQkICDAYDli1bhtOnT+PLL7/E0qVL8eabb5b5cdOmTcPWrVuxfv16/PHHH7h69SqeeuopS8UkIiIbUZU5Cy7GIyJ6OI3RaDRa68U+++wzfPvtt7hw4cJ9fz8rKwteXl5Ys2YNnn76aQB3C0qrVq1w6NAh00+bypKdnQ0PDw9kZWXB3d3drPmJiEi5Tp8+jbZt26JatWrIysqCvb19uT/2zJkzaNOmTaU+lohIySryvbVVZyyysrJQo0aNB/5+bGwsiouLERISYvo1Pz8/NGjQoMp3jxMRkW1r1aoV3N3dkZeXh1OnTlXoY0svxmOpICK6P6sVi3PnzuHrr7/GhAkTHvg+aWlp0Ol08PT0vOfX69Spg7S0tPt+TGFhIbKzs+95IyIi+jutVotOnToBqPicBecriIgersLFYtasWdBoNGW+JSQk3PMxqampCAsLw7BhwzBu3DizhQeAjz/+GB4eHqa3+vXrm/XzExGRelR2gFsqFuU5kktEZKsq/Dx3xowZeOGFF8p8nyZNmpj+/6tXr+Lxxx9Hly5dEB4eXubHeXt7o6ioCLdv377nqUV6ejq8vb3v+zGzZ8/G9OnTTf85Ozub5YKIiO6rMgPct2/f5mI8IqJyqHCx8PLygpeXV7neNzU1FY8//jiCgoKwcuVKaLVlPyAJCgqCg4MDdu/ejaFDhwIAEhMTcfny5Qf+Ye7o6AhHR8eK/UMQEZFNko5CJSUlITMzEzVr1nzoxxw5cgQAuBiPiOghLDZjkZqaip49e6JBgwZYsGABrl+/jrS0tHtmJVJTU+Hn52f6Q9vDwwNjx47F9OnT8fvvvyM2NhYvvvgiOnfuzMfPRERUZTVq1EDLli0BlP84FOcriIjKx2JXW0RFReHcuXM4d+4cfH197/k96Ybb4uJiJCYmIi8vz/R7X375JbRaLYYOHYrCwkKEhoZiyZIllopJREQ25tFHH0ViYiIOHz6M/v37P/T9WSyIiMrHqnssrIF7LIiIqCzLli3DSy+9hF69emHXrl1lvq/BYECNGjWQlZWF2NhYBAYGWiklEZE8yHaPBRERkWjS0dojR45Ar9eX+b4JCQnIyspCtWrV0K5dO2vEIyJSLBYLIiKyKW3btoWLiwtycnJMtz09CBfjERGVH4sFERHZFDs7O3Ts2BHAwwe4OV9BRFR+LBZERGRzyrvPgsWCiKj8WCyIiMjmlGcDd+nFeLzynIjo4VgsiIjI5khF4ezZs7h169Z93yc6OhoA0LRpUy7GIyIqBxYLIiKyOV5eXmjatCmA/23W/jsegyIiqhgWCyIiskkPm7NgsSAiqhgWCyIiskllzVkYDAbTUSgWCyKi8mGxICIimyQVi+joaBgMhnt+7+zZs6bFeP7+/iLiEREpDosFERHZpHbt2sHZ2Rm3b99GYmLiPb/HxXhERBXHYkFERDbJwcEBHTp0APDP41DSf+YxKCKi8mOxICIim/WgAW4ObhMRVRyLBRER2az7DXBzMR4RUeWwWBARkc2SikN8fDyys7MBcDEeEVFlsVgQEZHN8vHxQcOGDWE0GhETEwOAx6CIiCqLxYKIiGza3+csWCyIiCqHxYKIiGxa6TkLLsYjIqo8FgsiIrJpUoE4fPgwzpw5g6ysLLi4uHAxHhFRBbFYEBGRTWvfvj0cHR2RmZmJn3/+GQAX4xERVQaLBRER2TSdToegoCAAQHh4OAAegyIiqgwWCyIisnnSnMXt27cBsFgQEVUGiwUREdm8vxcJLsYjIqo4FgsiIrJ5pYtEs2bN4OXlJTANEZEysVgQEZHN8/X1ha+vLwAegyIiqiwWCyIiIgAhISH3/F8iIqoYjdFoNIoOYU7Z2dnw8PBAVlYW3N3dRcchIiKFuHXrFg4ePIh+/fpBo9GIjkNEJAsV+d6al3QTEREBqF69Ovr37y86BhGRYvEoFBERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVRmLBRERERERVZm96ADmZjQaAQDZ2dmCkxARERERKZv0PbX0PXZZVFcscnJyAAD169cXnISIiIiISB1ycnLg4eFR5vtojOWpHwpiMBhw9epVuLm5QaPRCMmQnZ2N+vXrIyUlBe7u7kIykDrwa4nMhV9LZC78WiJz4deSMhiNRuTk5KBu3brQasueolDdEwutVgtfX1/RMQAA7u7u/B8KmQW/lshc+LVE5sKvJTIXfi3J38OeVEg4vE1ERERERFXGYkFERERERFXGYmEBjo6OmDt3LhwdHUVHIYXj1xKZC7+WyFz4tUTmwq8l9VHd8DYREREREVkfn1gQEREREVGVsVgQEREREVGVsVgQEREREVGVsVgQEREREVGVsVhYwDfffINGjRrByckJnTp1wpEjR0RHIoX5+OOPERwcDDc3N9SuXRtDhgxBYmKi6FikcPPnz4dGo8Grr74qOgopUGpqKkaPHo2aNWvC2dkZ/v7+OHr0qOhYpDB6vR7vvPMOGjduDGdnZzRt2hQffPABeJeQOrBYmNmvv/6K6dOnY+7cuTh27BgeeeQRhIaGIiMjQ3Q0UpA//vgDkyZNwuHDhxEVFYXi4mL06dMHd+7cER2NFComJgbLli1Du3btREchBbp16xa6du0KBwcH7NixA2fOnMHnn3+O6tWri45GCvPJJ5/g22+/xeLFi3H27Fl88skn+PTTT/H111+LjkZmwOtmzaxTp04IDg7G4sWLAQAGgwH169fHlClTMGvWLMHpSKmuX7+O2rVr448//kD37t1FxyGFyc3NRWBgIJYsWYIPP/wQ7du3x8KFC0XHIgWZNWsW/vzzT+zfv190FFK4AQMGoE6dOvj+++9NvzZ06FA4Oztj1apVApOROfCJhRkVFRUhNjYWISEhpl/TarUICQnBoUOHBCYjpcvKygIA1KhRQ3ASUqJJkyahf//+9/zZRFQRW7ZsQYcOHTBs2DDUrl0bAQEBWL58uehYpEBdunTB7t278ddffwEATpw4gQMHDqBv376Ck5E52IsOoCY3btyAXq9HnTp17vn1OnXqICEhQVAqUjqDwYBXX30VXbt2Rdu2bUXHIYX55ZdfcOzYMcTExIiOQgp24cIFfPvtt5g+fTrefPNNxMTE4JVXXoFOp8Pzzz8vOh4pyKxZs5CdnQ0/Pz/Y2dlBr9dj3rx5GDVqlOhoZAYsFkQyN2nSJMTHx+PAgQOio5DCpKSkYOrUqYiKioKTk5PoOKRgBoMBHTp0wEcffQQACAgIQHx8PJYuXcpiQRWybt06rF69GmvWrEGbNm0QFxeHV199FXXr1uXXkgqwWJhRrVq1YGdnh/T09Ht+PT09Hd7e3oJSkZJNnjwZ27Ztw759++Dr6ys6DilMbGwsMjIyEBgYaPo1vV6Pffv2YfHixSgsLISdnZ3AhKQUPj4+aN269T2/1qpVK/znP/8RlIiUaubMmZg1axZGjBgBAPD398elS5fw8ccfs1ioAGcszEin0yEoKAi7d+82/ZrBYMDu3bvRuXNngclIaYxGIyZPnoyNGzdiz549aNy4sehIpEC9evXCqVOnEBcXZ3rr0KEDRo0ahbi4OJYKKreuXbv+48rrv/76Cw0bNhSUiJQqLy8PWu29337a2dnBYDAISkTmxCcWZjZ9+nQ8//zz6NChAzp27IiFCxfizp07ePHFF0VHIwWZNGkS1qxZg82bN8PNzQ1paWkAAA8PDzg7OwtOR0rh5ub2j7kcFxcX1KxZk/M6VCHTpk1Dly5d8NFHH2H48OE4cuQIwsPDER4eLjoaKczAgQMxb948NGjQAG3atMHx48fxxRdfYMyYMaKjkRnwulkLWLx4MT777DOkpaWhffv2WLRoETp16iQ6FimIRqO576+vXLkSL7zwgnXDkKr07NmT181SpWzbtg2zZ89GUlISGjdujOnTp2PcuHGiY5HC5OTk4J133sHGjRuRkZGBunXrYuTIkZgzZw50Op3oeFRFLBZERERERFRlnLEgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIqY7EgIiIiIqIq+z9ql42NWh5WDwAAAABJRU5ErkJggg==" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 7 + }, + { + "cell_type": "code", "source": [ - "plt_path = _plot_path(x, y, metric=\"lcss\", title=\"lcss path\")\n", + "plt_path = _plot_path(x, y, method=\"lcss\", title=\"lcss path\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"lcss\", title=\"lcss alignment\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"lcss\", title=\"lcss alignment\")\n", "plt_alignment.show()" ], "metadata": { @@ -323,36 +328,41 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:07.319037Z", - "start_time": "2023-10-12T12:51:06.866201Z" + "end_time": "2024-12-05T16:18:39.158693Z", + "start_time": "2024-12-05T16:18:38.823388Z" } - } - }, - { - "cell_type": "code", - "execution_count": 9, + }, + "id": "f17ad7f80bd0d962", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 8 + }, + { + "cell_type": "code", "source": [ - "plt_path = _plot_path(x, y, metric=\"msm\", title=\"msm path\")\n", + "plt_path = _plot_path(x, y, method=\"msm\", title=\"msm path\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"msm\", title=\"msm alignment\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"msm\", title=\"msm alignment\")\n", "plt_alignment.show()" ], "metadata": { @@ -361,36 +371,41 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:08.695463Z", - "start_time": "2023-10-12T12:51:08.259436Z" + "end_time": "2024-12-05T16:18:40.149405Z", + "start_time": "2024-12-05T16:18:39.170527Z" } - } - }, - { - "cell_type": "code", - "execution_count": 10, + }, + "id": "6fe5028d56b047ee", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 9 + }, + { + "cell_type": "code", "source": [ - "plt_path = _plot_path(x, y, metric=\"twe\", title=\"twe path\")\n", + "plt_path = _plot_path(x, y, method=\"twe\", title=\"twe path\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"twe\", title=\"twe alignment\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"twe\", title=\"twe alignment\")\n", "plt_alignment.show()" ], "metadata": { @@ -399,36 +414,41 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:10.042490Z", - "start_time": "2023-10-12T12:51:09.624141Z" + "end_time": "2024-12-05T16:18:41.031400Z", + "start_time": "2024-12-05T16:18:40.159633Z" } - } - }, - { - "cell_type": "code", - "execution_count": 11, + }, + "id": "a152e13fcf03ed5a", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 10 + }, + { + "cell_type": "code", "source": [ - "plt_path = _plot_path(x, y, metric=\"wdtw\", title=\"wdtw path\")\n", + "plt_path = _plot_path(x, y, method=\"wdtw\", title=\"wdtw path\")\n", "plt_path.show()\n", - "plt_alignment = _plot_alignment(x, y, metric=\"wdtw\", title=\"wdtw alignment\")\n", + "plt_alignment = _plot_alignment(x, y, method=\"wdtw\", title=\"wdtw alignment\")\n", "plt_alignment.show()" ], "metadata": { @@ -437,39 +457,44 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:11.925654Z", - "start_time": "2023-10-12T12:51:11.026264Z" + "end_time": "2024-12-05T16:18:41.533846Z", + "start_time": "2024-12-05T16:18:41.034406Z" } - } - }, - { - "cell_type": "code", - "execution_count": 12, + }, + "id": "8f4f22dbf247ff1", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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UCecvYO+Bg3KzNQBg1rIlhg0ZDCfHDjU+1tHjJ3AkMkp2m2XkGjepVIplK1cjIzNT1ubq4oznxjzToMe8d/8+Ll9JwpWk5FpV2HikTRs7eLi5wcPNDZaWresdAz1ZysrKsGvPXpy/cFHuPlsbG4x9ejTMzMxq9VhMlokAlJeXY+nylYKZDXNzM7wyfRp0dblaSROSkq/i9y1bBW2+Pt4YNnhQgx730RKBfQcOKtxw5uLsjBFDBzMxq4OCggLs2rMXSclXFd7v6+ON/n16K/xJXpHCwiIsXLxEsDO9Z3h3hHcLU0m8pFop169j46Y/BG0vPDcWzo6OKnuOBw9ycCU5CZevJOHmrdu1rpLR2sICHu5ucHdzQ9s2dvyHcDOVl5+PzVv/VLh/pXPHjhg+dHCdluIxWSb616XEy9i6/S9BW59ePREWEqyVeJqT0tJS/LxyFXJz82RtxkZGePWl6TAyMlLJc2RmZmHbjh1y66EBwMTYGCOGDYWLs5NKnutJdvFSIv7Ztw/FxSVy97UwNcXQIYPg6uxc58fdsWs34hPOy26bmppi1qsv83LJjdCmzVuQfDVFdtuydWu8PH2q2hLTwsJCJCVfxeWkJFy7nlrrcl8tTE3h7uYKd3c3dLDnpbebi1u3b2Pz1m1ypUcBoFePcHQLDanzucpkmehfUqkU69ZvFGw20tfXx2svzYCpKWcd1eng4SM48diuegAYMWwIvD09Vfo85eXlOBwRiVOnzyi8PyjAH3169eSvCQoUFRXhn737cenyZYX3e3bpjIH9+sHIqH4br+7cvYuVa9YJ2nhVzcYnO/sBFi9bLmgbPHAA/P18NfL8paWluJpyDVeSkpF09arCJUCKGBgYwM3FBe5urrz09hMsLiEBu/fsk/sHlb6+PkaNGFbvakhMlokek37nDlat/UXQ5ufjjaENXApAyt27fx8r16wT1GF1sLfH+BeeU9tMVcq16/hr5y4UKph5sLG2xugRw2FlZamW526KLl9Jwu49e1FYVCR3n4mxMYYMGqiwBnZdsYxc47d3/wGcPntOdtvQ0ABvvPaqVpLPiooKpN64gStXknA5KRkFBQW1Ok526W13N7i5uMLExFjNkZK6VdbUPyx3kRygshrPs08/3aDPdCbLRFXs2LkL8ecvyG6LRCJMmzwRtjY2WozqyaRoNl8sFuOlqVPUvlGnsLAQf+/+R/Bz8iO6urro37cPuvr6NOs1j8XFJdh74IDCDTIA0MnDA4MG9FdZsnHxUiL+/GuHoG3qpAksI9dIPHz4EAt+WiKoVhMSFIh+fXprMapKUqkUt9Pv4EpS5TrnqrV0lRGJRGjfrh083F3h7uaGVrUoUUmNS3FxMbZu34Hrqaly9zl26ICnR41o8HI+JstEVeTn52PxshWCwvkdHOwx7nn1zXQ2VzFx8dj1zx5BW/ewUPTqEa6R55dKpTh7Lgb7Dx1WuA7S3c0VwwYPgrFx85t5Sk5Jwa7de5CvYLbOyMgQgwcMQOdOHVX6nCwj17hFnzmLfQcOym6LRCLMfHlGrWqga1pmZhYuJyXhclIS0tPv1Po4G2vrfzcIusLG2pqf+Y3c/YwM/LH1Tzx4kCN3X1CAP/r16a2Sq0AyWSZSIOrYcUREHRW0jX16NNzdGv5TM1UqLCzCkuUrUFLy30axVq3M8dLUKRq/YMj9+xnYtuNv3M/IkLvP1NQUI4cNrVUJtCfBw4cPsf/QYcGFeh7n5uqCoYMGwlRNlw5nGbnGSSqVYsmyFch+8EDW5uHmhjFPj9ZiVLWTl5eHK8lXcflKEtJuVH/p7ceZm5vB/d+SdO3bteWltxuZK0nJ2P73TrkLIeno6GDIoAHw8fJS2XMxWSZSoKysDEuWrUDeYzNcFq1a4eXpU7mjWkX+2rkLCY8tdwGAF54dC2cn1ZWfqouysjIcOhIhWI/5uJDgIPTuEf5Ev/7XU1Px965/kJuXJ3efgYEBBvbrCy/PLmqdbWMZucYp6epV/L5ZWNpx/AvPo4ODvZYiqp/i4hJcTUnB5StJuHqtDpfeNjaGu6sL3N3c4OTYgZuAtUgqleLYiZOCf1Q/YmpigjFPj0a7tm1V+pxMlomUOH/xIrbv2Clo69enN0KCArUU0ZPjemoa1v+2SdDWuVNHPDVyhJYi+k/S1av4e+duhZfhtbO1xegRw9G6de2vUtYUlJaW4tCRCJw5F6PwfidHRwwfMggtW7bUSDwsI9f4bNj0O65dT5XdtrG2xvQpk5r0MoWysjJcS02trKxRw6W3H6enpwfPzp3Qo3s3tODVAzWqtLQUf+/+B5cS5avytLGzw5inR6vlio5MlomUkEqlWPPrety+nS5rMzAwwMyXZzTLNayqUl5ejuWr1gg24BgYGOCVGdPQQk0/7ddVQUEB/tq5G9euy1/CWU9PDwP794WPl1eTThQeuXHzFnbs2qVwzZ++vj769ekNPx9vjY6VZeQal4yMTPy8cpWgbdiQQfD19tZSRKonu/T2v1cQrM2lt/X09BASFIjQ4CCWotOA3Nxc/LH1T4W18j27dMbQQQPVtoSPyTJRNW7dvo01v6wXtPn7+WHwwP5aiqjpU7QefFD/fgjw76qliBSTSqWIPnMGh45EKtz819HDHUMHDap3XWFtKysrw5GoozgVfVrh/Q729hg+dLDWqgOwjFzjsXvPPpyLjZXdNjYywhszX31ilyIIL72dhHv35fcyPM7UxAQ9w7vDx9uL65rVJO3GTWzZth1FVcpXikQi9OnVEyFBgWr9Bz2TZaIabNvxNy5cvCS7LRKJMGPqZFhbWWkxqqYpO/sBfl65SpB8trGzw+QJ4xrtl8zde/ew7a+/kZmVJXdfy5YtMWr4UDjYN611m7fT07Fj526FY9LV1UWfXj0R6N9VqzPnLCPXOBQXl2Dh4iWCtb3dQkPRu6dmKtY0Bg8e5OByUmXifOPmLaX9rK2s0Ld3Lzg7OT4Rvzo1Fudi47Bn3365jZkGBgZ4auQIjVx5lckyUQ1yc3OxZPlKlJeXy9qcnRzxwrNjtRhV0yOVSrHx982CpQ0ikQhTJ02Ana2tFiOrWVlZGfYfPIRzsXEK7+8WGooe3cMa/Zra8vJyRB07juMnT0HRR3+7tm0xYuiQRrEmm2XkGocTp6Jx8PAR2W2xWIzXX31ZLetCm4L8/HxEHj2O2Ph4he8hAHBy7IC+vXuxNn8DVVRUYN+BQzgbI7+XorWFBcY+8xQsW6u3Hv8jjXMqh6gRMTMzk9vUl3LtOpJT5C9mQcpdSrwstwY40L9ro0+Ugcq1iUMGDcSYp0YrXHZx7MQJrFu/UVBWq7G5e+8eVq/7BcdOnJT7ktfR0UHf3r0wcdwLjSJRBipjqnoJ5YuXEhVedZHUQyKR4Mw5YXWYjh7uzTZRBoAWLVpg6OCBmDFlstIZzWvXU7Fi9Vr8vWu3oKIS1V5RURE2bPpDYaLs4uyEKRPHayxRBpgsE9VKWEiwXF3ZAwcVX8iC5JWUlAguZgBUfun0DO+upYjqx8PdDTOmTkEHBwe5+26np2PF6rVIOH9B6YyTNlRUVCDq2HGsWvuLwrWXbexsMX3yJIQGBzW6pTB+Pj6C2fqKigqls/ukeknJycjNFZYRDPT311I0jYu1tRWeHzsGLzw3FjbWipfkxSWcx5JlKxARdVSuFjApd+/+faxa+wvSbtyQuy80OAjPPvM0DA01u1ekcX0yEjVS+vr66NOzh6AtMysL52JilRxBjzsSGYWCKjOCA/v1hYGBgZYiqr+WLVpg3PPPok+vnnLJZWlpKf7auQvb/94puNiKttzPyMCaX9YjIuqo3Ho/sViMnuHdMWn8OFhZWWopwuqZmBjLVcA4GxPLf6RqSPSZs4Lbbezs0K5tGy1F0zg5Ozpi2uRJGD50sMJqPmVlZYg6dhw//bwcMbFxtb4gSnOVePkK1vyyXq4aia6uLkYNH4a+vXtp5R/1TJaJasnLs4vckoHIY8dQXMvanM3V7fR0ufq9ri7O8HBvuldDFIlECAsJxqTx42DRqpXc/RcuXsKK1WsF1Rw0SSKR4PjJU1i5Zh3u3L0rd7+NtRWmTpqA8G6Nf511YJUqKQUFBUi8fEVL0TQfd+/dQ9qNm4K2oAB/blxTQCwWw8fLC6++NB09w7srLF9WWFiIXXv2YvmqNUhOSWlUvz41BlKpFBFRR7Fl23a5C8W0aNECE8e9AM8unbUUHZNloloTiUTo37ePoK24uARRx45rKaLGTyKRYPeefYI2XV1dDOrf74n40m3bxg7Tp0yCj7f8ZVVzcnOxbv1GRB49ptHZpKysbKxbvxGHjkTIzcCKRCJ0Cw3F1EkTm8zmIztbW7Rv107Qpuwqi6Q6Vf/GpiYm6NTRQ0vRNA36+voI7xaGmS/PgJ+Pj8LPuIzMTGz6Yws2bPoDd+/d00KUjU9paSm2/Lld4Xdpu7ZtG0UVHCbLRHXgYN8eHT3cBW1nzsUoLMFFlV+4Vb8QenTvBnMt1e5VB319fQwfMhhPjRwht6xEKpUi8ugx/LLht1pd5KAhKutCn8Xy1Wtw6/ZtufstW7fG5Anj0btn07tkd9XZ5Vu3byP9zh0tRfPkKywswvkLFwVtXf18m9x5oy2mpqaVmwCnToaLs7PCPtdTuQkQAB7k5GDNL+txOSlJ7j4fby+Mf+G5RnGxKibLRHXUt3cvwZeGRCLBgUOHtRhR45SXlyd38RErS0sEBwZoKSL16typI16aOhn27dvJ3Xfz1i0sX7VGUK9blR7k5ODXjZuw78BBQYnDR0KCAjF9yiS0bdM0axR7uLvJXVaYs8vqExMXJ/hVQkdHB119fas5ghSxtrLC82OfwYvPPQsba2uFfeISzmPxz8txJDKq2W0CvJ6ahlVrf8H9DOHGY5FIhAH9+mLY4EGN5sI3TJaJ6qiVublcwpd8NQUpCi6N3JztPXBQ7sN/yKABT/TslJmZGca/8Dx6hneX+wn24cOH2Lbjb+zYtRsPHz5UyfNJpVKci4nF8lVrFO4ct2jVChPHvYh+fXo3mi+d+mAZOc2pqKjA2Sp7DDp36ghTUxMtRdT0OTl2wLTJE5VuAiwvL8fR4yeazSZAqVSK02fPYcOm3+X2/BgaGuKFZ8c2uvXxTJaJ6qFbaAhMjI0FbQcOHn7iP+RqKyn5Ki5fEf6s5uvtBfv27bUUkeaIxWKEdwvDpPEvwtzcTO7++ITzWLFmLW6npzfoeXLz8rDx983YvXefwhmpgK5+mD5lksKZ7qaIZeQ0I/HyFeQXFAjaWC6u4R5tAnzt5RnNehNgRUUFdu3Zi737D8iNz8rSElMnTYCTYwftBFcNJstE9WBgYIBeVUrJ3c/IQExcvJYiajzKysqwZ/9+QZuxkRH69OqlpYi0o13btpgxZbLCHdwPHuRg7a8bcOzEyTr/A0sqlSIuIQHLVq6Wu8gLAJiZtcS455/FoAH9oa+vX+/4GxuWkdOMqstb2rdrhzZ2jf/CQU2Fnp6ebBNgV9/mtQmwoKAQv27chFgF35Nuri6YPEFxdaHGgMkyUT35eHnKrUOLiIxqFPV1tSny2HG5Cxn069MbxsZGWopIewwMDDBq+DCMGj5MLnGVSCQ4HBGJ9b/9jry8PCWPIFRQUIA/tv6Jv3f9o3Aph5+PN16aOgWOHTqoIvxGh2Xk1Ot2+h25zaFBAZxVVgdTU1MMGdR8NgHeuXsXq9b9orCcZvewUIx9+qlGXXefyTJRPYnFYrlSckXFxTh6/ISWItK++/czcCr6tKDNwb49vDy7aCmixsGzS2fMmDIZbRVc0CHtxg0sW7Wm2qRPKpXiwsVL+HnlKiQlX5W7v0WLFnh+7BgMHTyoUX/hNBTLyKnX6SoXIWnZokWTrofeFNR1E6Cq9jto0sVLiVj76wa5SQE9PT08PWokevUIb1TrkxVhskzUAI4dHODu5ipoiz5zFtnZD7QUkfZIpVLs3rtPsKxALBZjyMCBjf6DUBNatTLHpHEvontYqNzfo6SkBFu2bceuf/bIrT8uLCzC1u1/YduOv1FcLP+rhZdnF7w0dQpcnJ3UGn9jwTJy6pFfUICLiYmCNv+ufo3uEuhPqkebAEcMHSJX+QX4bxPg4mUrcK6JbAKUSqU4FBGJP//aIVelx6xlS0wa/2KTqd3NdwFRA1W9/KZEIsHBw0e0GJF2xMUnyP3EFhYSDEvL1lqKqPERi8Xo1SMc4194HmYtW8rdHxMXL7jq3uUrV7Bs5SqFs84mxsYY+/RojBw2FEZGhmqPvbFgGTn1OBcTK0jAdHV14efjo72AmiGxWAxvL0+89tJ09OoRrnDPQWFhIXY3gU2ADx8+xO9btuL4iZNy99m3b4epkyY0mQsjAYBI2lj/0kRNyP6Dh3Dq9BlB2/gXnkMHBwctRaRZhYVFWLpihWDms5W5OV6aNkXhrm+qnE3etWcvLiVelrtPLBbDwd4e11NTFR7bqaMHBg/oD+MqFVmai6PHT+BIZJTsto6ODt547RWYmLC8WX2Ul5dj0eKlKCwqkrX5+Xhj6OBBWoyKCgoKEHn0GGLi4pUmxY4dOqBfn16NKvHMys7GH1v+VHixrq6+PhjYv1+TKyHKmWUiFQjvFgYjI+EGtv0HDzWJn8pU4eDhw3JLBAYN7M9EuRqGhoZ4auQIDB86WO7vJJFIFCbKRkZGeGrkCDw9amSzTZQBlpFTtYuJiYJEGQACqix3Ic17tAnwpalT4OpS/SbAHY1kE2DKtetYve4XuURZLBZj8ID+GDJoYJNLlAEmy0QqYWhoiJ7h3QVtd+/dR/z581qKSHNS09IQf/6CoK1zx45wcWoea2gbQiQSwcfLC9OnTKqxPJe7mytenjYFnTt11FB0jRfLyKmOVCqV29jXwcFB6WYz0jwrK0s8N6ZyE6CtjeLXJV7LmwClUilOnT6N3/7YjJIS4fMbGxnhxeeehX9XP43HpSpMlolUpKuvD6wsLQVthyOa5u7l2iovL8fuPfsEbQYGBujfr4+SI0iR1hYWmDR+HMJCguXuMzAwwMhhQzHmqdEwVXD1r+aKZeRU4+at27hzV1jLNyiAs8qNUeUmwEmNbhNgeXk5/t61G/sPHpZbLmJjbYWpkyagg4O9RmJRFybLRCqiqJRcYWEhjp08paWI1O/EqWhkZWcL2nr3CFd4SVeqno6ODvr06olxzz8HG2tr6OjooKO7O16eNgVenl1YUaQKlpFTjaqzyubmZnB1cdFSNFQTkUhUt02AV9W7CTC/oAC/bPhN7tdFAOjo7o5J48fB3Nxcbc+vKdzgR6Riv/2xBVdTUmS3dXR08OqMaU/EB8bjsrMf4OeVqwQ/fbexs8XkCeNZbkoFKioqmuTaPk26eCkRf/61Q9A2ddIEtLGz01JETUtuXh5+XPKzIJnq37c3ggMDtRgV1UVBQeG/mwDjqtkE6IB+fXqrfBPg7fQ72Lz1T7nLowNAz/DuCstkNlX8RiNSsf59egs+ICoqKnDwSIT2AlIDqVSKf/btFyTKIpEIQwYNZKKsIkyUa8Yycg1z9lyMIMHS09ODj5eXFiOiujI1NcGQQQNq2ASY9t8mwFpeLbQmCRcuYN36DXKJsp6eHsY8NQrh3cKemEQZYLJMpHKWlq0RUGUjw6XEy7hxU/4yn03VpcTLuHb9uqAt0L8r7Gyr36RGpEo6Ojrw9/MVtF28lIjCwkItRdR0lJWVISYuTtDm4+UJQ8PmU7P7SVLrTYDLVjRoE6BEIsGBQ4fx19+75DbUmpubYfKEcfBwd6/XYzdmTJaJ1CC8Wze5L539Bw822gLydVFSUoJ9Bw4K2lq0aCFXDYRIE1hGrn7OX7goV+6R5eKaPtkmwGE1bAL8ebnchWhqUlJSgk2bt+Jk9Gm5+zo4OGDqxIlPbBUVJstEamBsbIQe3cIEbel37uL8hYtaikh1jkRGoaDKzN3Afn1gYGCgpYioOWMZubqTSqVyy1WcnZxg2ZpX23wSiEQieHvWsAmwqAi79+6r9SbAzMwsrF73K1KuXZO7L9C/K154dgyMjY0UHPlkYLJMpCb+Xf3Q2sJC0HboSARKS0u1FFHD3U6/gzPnYgRtLs7OT+TPbtR0sIxc3aSmpeF+RoagLSjAX0vRkLro6emhe1goXntpBrr6+ipcQ5yRmYlNm7dgw6bfcffePQWPAiRfTcHqX36Vq3wkFosxdPCgJnlFvrpiskykJjo6OujXp7egLb+gACdORWspooaRSCTYvWevoE1XVxeDBvR7ojZyUNPDMnJ1U/Vv09rCAs5OjlqKhtStTpsAd+6SbQKUSqU4fvIUNm3eIrfG2cTYGONfeB5+Pt5qj78x0NV2AERPMlcXZzg5dsC166mythOnouHr4w2zli21F1g9nDl7Tm7mIbxbGFo9YSXxqGkK9O+Km7f+20R76/ZtpN+5wzJyVTx4kIMrScmCtkD/rvwHbzPwaBPgteupOHj4MO7euy/XJ/78BVxMvIzgwEDk5ObgwsVLcn3sbG0w5umnmtx3WENwZplIjUQiEfr36SP4IiovL8fhI5FajKru8vLycCTqqKDNytISIUGsx0qNA8vI1c7pc8K/iYGBAby9PLUUDWlDbTYBHjtxQmGi3LlTR0wc92KzSpQBJstEamdtbQU/Hx9B2/mLF3Hrdrp2AqqHfQcOya21HjJowBO/To2aDpaRq1lpaSni4hMEbT7eXgo3gNGTrTabAKvq3bMHRo8YDj09PQ1E2LgwWSbSgJ7h3eWqRew/eKhJlJJLunoViVeEm6V8vb1g3769liIiUoxl5KoXn3Bebu1pYFeWi2vOarMJUF9fH88+8zS6hYY02+U6TJaJNMDExBjdw0IFbbdu38bFS4laiqh2ysrKsHffAUGbsZER+vTqpaWIiJRjGTnlFJWLc3N1QatW5toJiBoVZZsAW1tYYMrE8XBzddFidNrHDX5EGhLo3xXnYmPx4EGOrO3gkQi4u7k22p+1oo4dR05urqCtX5/eT3Q9TWraAv27Ij7hvOz2ozJyVZPo5ibl2nW50l8sF0dVPdoEmJWVjbz8PDjY20Ms5rwq/wJEGqKrq4t+vYUzsnl5eTh1+oyWIqre/fsZcldqcrBvDy/PLlqKiKhmLCOnWPSZs4Lb1lZW6ODgoKVoqLFr3doCjh06MFH+F/8KRBrk7uYGB3t7QduxEyeRn5+vpYgUk0ql2L13n+BSqGKxGIMHDmi2a9ao6ah6kZJHZeSaq8ysLLkrr7FcHFHtMVkm0iCRSIQB/foI2srKynAkMkpLESkWF58gqFkLAKHBwbCytNRSRES1xzJyQmeqjN3IyBCeXTprKRqipofJMpGG2drYwNfbS9AWl3Ae6XfuaikiocLCIhw8ckTQ1srcHN3DQrQUEVHdsIzcf0pKShD32BpuoLJqSGPdJ0HUGDFZJtICRXUt9x882ChKyR08fBjFxSWCtkED+vPLlZoUlpGrFJeQgLKyMtltkUgE/65+WoyIqOlhskykBaampugWKpypvXHzFi5XqWesaalpaYg/f0HQ1qmjB1ycnbQUEVH9sIwcIJFI5JafdHR3b3ZXXyNqKCbLRFoSHBgAMzPhl9aBw0dQXl6ulXjKy8vxz979gjYDAwMM6NtHyRFEjVvVjX6Pysg1F8lXryInR1j6MTCAFyEhqismy0Raoquri75VLu6Rk5MrV+JJU05Gn0ZmVpagrVePcLmNUkRNRXMvIxd9RjhWO1sbub8HEdWMyTKRFnXq6CH35XX0+AkUFGh2I1L2gwc4evyEoK2Nna3cJimipqa5lpG7d/8+UtPSBG2BAf4sF0dUD0yWibRIJBKhf5VlDqWlpYiIOqqxGKRSKfbs2y9Y/iESiTB44EAWpKcmr7mWkataLs7E2BidO3bUUjRETRu/CYm0rG0bO7mr4sXGx+PuvXsaef5LiZeRcu26oC2gqx/a2Nlq5PmJ1ElZGTlN/3qjSUVFxUi4cFHQ1tXPF7q6ulqKiKhpY7JM1Aj07tlDUJpNKpVi/8HDai8lV1JSgn0HDgraWpiaolePcLU+L5EmKSojFxMXp72A1CwmLk7wS5FYLEZXLqkiqjcmy0SNQMsWLRAaHCRoS01LQ1LyVbU+75HIKBRUuVDDgH59YWBgoNbnJdKk5lRGTiKR4Oy5GEFb544d0cLUVEsRETV9TJaJGonQ4CC0rLK28sChw2r7Qr+dfgdnqnypujg7o6OHu1qej0ibmksZuctXkpCXny9oCwzw11I0RE8GJstEjYSenh769OopaMt+8ABnzql+M5JEIsHuPXsFbbq6uhg0oB93y9MTqbmUkataerJt2zZo28ZOS9EQPRmYLBM1Il06d0KbKl9skUePo6ioSKXPc+bsObkNhOHdwtDK3Fylz0PUmDzpZeTS79zFzVu3BG1B/pxVJmooJstEjYhIJMKAvn0FbQ8fPkTk0WMqe468/HwcqVKazsrSEiFBgSp7DqLG6EkvI3f6rHBWuYWpKZdVEakAk2WiRqZ9u7bo3ElYD/VsTCwyMjJV8vj7DhxEaWmpoG3wwAGCagFET6InuYxcQUEhLl5KFLT5d/Xj+5pIBZgsEzVCfXr1FNRElUql2H/ocIMfN/lqitymJh9vLzjYt2/wYxM1BU9qGblzscLqHjo6OvDz8dFeQERPECbLRI2QuZmZ3LKIlGvXkJySUu/HLCsrw559+wVtRkZG6NurZ70fk6ipeRLLyFVUVOBcTKygzbNLZ5iYGGspIqInC5NlokYqLCQYplVqox44WP9SclHHjiMnN1fQ1q9PLxgb8wuVmpcnrYzcpcTLcvXSq46RiOqPyTJRI6Wvr4/ePYVX0svMysK52Lg6P9b9jAycjD4taLNv3x7enp4NCZGoSXqSyshJpVK5cnEO9u1ha2OjpYiInjxMlokaMW9PT9jZCr/0Io8eRXFxSa0fQyqVYveefZBIJLI2sViMIYMGsKYyNVtPShm52+npcnEHslwckUoxWSZqxEQiEfr37SNoKy4uQdSx2peSi0tIkKu9GhocBCtLS5XESNQUPSll5KrOKpuZtYS7m6uWoiF6MjFZJmrkHOzt0dFdWCv1zLkYZGZl1XhsYWERDh4+ImhrZW6O7mGhKo2RqKl5EsrI5eXny621DujaFWIxv9qJVInvKKImoG/vXoJyVxKJRC4JVuTgkSNySzYGDegPPT09lcdI1NQ09TJyZ8/FCpZX6enpwdfbW4sRET2ZmCwTNQGtWpkjKEC4DjEp+SquXU9Vekxq2g3EJ5wXtHXy8ICLs5M6QiRqcppyGbny8nLExArLxXl16QIjI0MtRUT05GKyTNREdA8LhUmVMm/7Dx4SzCw9UlFRgX/27hO06evrY0C/PnJ9iZqzplpG7vzFiygqLha0sVwckXowWSZqIgwMDNCzh7CU3P2MDMTGxcv1PXEqWm5Nc+8e4XIbmoiau6ZYRk4qleL0GWGMTo4dYGXFTbtE6sBkmagJ8fX2go21laDtSNRRlJT8ty45+8EDHD1+QtDHztYW/l39NBIjUVPT1MrIpd24iXv37wvaAgNYLo5IXZgsEzUhYrEY/foIl1IUFRXh6ImTACpnnPbsO4Dy8nLZ/SKRCEMGDeQOeSIlmloZudNnheXiLFq1gquzs5aiIXry8duTqIlxcuwAN1cXQVv06TPIfvAAlxIvI+XaNcF9AV390MbOVpMhEjUpTamMXE5ODq4kJQvaAvy78gJDRGrEZJmoCerXp7dgplgikWDPvgPYd/CQoF8LU1P0qrLOmYjkNZUycmfOxUAqlcpu6+vrw8eLl60nUicmy0RNUGsLCwRUWWeZcu0aCgoKBG0D+vWFgYGBJkMjapKaQhm50tJSxMYLN/T6eHnyPU6kZkyWiZqo8LAwGBkZKb3fxdkJHT3cld5PREKNvYxcwoWLKCl5KGgL9OfGPiJ1Y7JM1EQZGRmiZ/duCu/T1dXFoP79uY6RqA4acxm5ynJxwo19ri7OsLBopaWIiJoPJstETVhXP19YWcrXVg3vFoZWrcw1HxBRE9dYy8hdS02Vq53OcnFEmsFkmagJE4vF6Ne3t6DNsnVrhAQFaikioqatsZaRqzqrbNm6NZw6dNBOMETNDJNloibOxckJ/fv2RgtTU7Rt2wbPPvO0YFc/EdVeYywjl5WdjeSrKYK2wAB/LrMi0hBdbQdARA0XHBiI4EDOJhOpgp+PD6KOHZdVwnhURi68W5hW4jlTZWbb0NAAXl06ayUWouaIM8tERESPaUxl5B4+fIi4hPOCNl8fH+jr62s8FqLmiskyERFRFY2ljFxcwnmUlpbKbotEIgR09dN4HETNGZNlIiKiKhpDGTmpVCq3BMPdzRXmZmYajYOouWOyTEREpIC2y8glX01B9oMHVWJiuTgiTWOyTEREpIC2y8idPissF2djbQ0H+/Yae34iqsRkmYiISAFtlpHLyMjEteupgrYglosj0gomy0REREr4+fgI6pY/KiOnblVnsI2NjOQqdBCRZjBZJiIiUkIbZeSKi0uQcOGCoM3P1xe6urw0ApE2MFkmIiKqhqbLyMXGx6OsrEx2WywWw7+rbzVHEJE6MVkmIiKqhibLyEkkErlycR093NGyykZDItIcJstEREQ10FQZuStJycjNyxO0BQWwXByRNjFZJiIiqoGmyshFnxGWi2tjZ4e2bdqo/HmIqPaYLBMREdVAE2Xk7t67hxs3bwraWC6OSPuYLBMREdWCusvIna4yq2xqYoJOHT1U9vhEVD9MlomIiGpBnWXkCguLcP7iJUFbVz9fQXJORNrBZJmIiKiW1FVGLiYuTpB06+jooKsvy8URNQZMlomIiGpJHWXkKioqcPZcjKCtS6eOMDU1adDjEpFqMFkmIiKqA1WXkUu8fAX5BQXC52C5OKJGg8kyERFRHai6jFz0WeHGvvbt2sHO1rbej0dEqsVkmYiIqA5UWUbudno6bt9OF7TxIiREjQuTZSIiojpSVRm502eEM9ItW7aEh7tbQ8MjIhViskxERFRHqigjl19QgIuJiYK2gK5+EIv51UzUmPAdSUREVA8NLSN3LiYWEolEdltXVxe+3t4qi4+IVIPJMhERUT00pIxceXk5zsXECtq8unSGsbGRyuIjItVgskxERFRP9S0jd/FSIgqLiqo8Fjf2ETVGTJaJiIjqqT5l5KRSKaLPCMvFdXBwgLW1lcrjI6KGY7JMRERUT/UpI3fz1i3cvXdP0MZycUSNF5NlIiKiBqhrGbmqs8rm5mZwdXFWV3hE1EBMlomIiBqgLmXkcnNzcflKkqAt0L8ry8URNWJ8dxIRETVQbcvInYmJhVQqld3W09ODj5eX2uMjovpjskxERNRAtSkjV1ZWhtgqyzN8vDxhaGio7vCIqAGYLBMREalATWXkzl+4iOLiEkGfgCrHEFHjw2SZiIhIBaorI6eoXJyLsxMsW7fWWHxEVD9MlomIiFSgujJyqWlpyMjMFNzHi5AQNQ1MlomIiFREWRm5qrPKrS0s4OzkqOnwiKgemCwTERGpiKIyctFnziIp+aqgLdC/K0QikSZDI6J6YrJMRESkQlU3+hUXFwtuGxgYwNvLU5MhEVEDMFkmIiJSIUVl5B7n6+0FfX19DUZERA3BZJmIiEjFqs4uPy6gK8vFETUlTJaJiIhUTFEZOQBwd3NFq1bmmg+IiOqNyTIREZGKKSojB7BcHFFTxGSZiIhIDfx8fASXsm7Txg4dHOy1GBER1YdIKpVKtR0EERHRk+jmrds4fvIkDA0N0btHOFq2bKntkIiojpgsExEREREpwWUYRERERERKMFkmIiIiIlKCyTIRERERkRJMlomIiIiIlGCyTERERESkBJNlIiIiIiIlmCwTERERESnBZJmIiIiISAkmy0RERERESjBZJiIiIiJSgskyEREREZESTJaJiIiIiJRgskxEREREpASTZSIiIiIiJZgsExEREREpwWSZiIiIiEgJJstEREREREowWSYiIiIiUoLJMhERERGREkyWiYiIiIiU0NXkk0mlUixbuRoZmZkK729haopuYaHw9faCrq5GQyNqUk6fOavtEIiIiJq8wAD/GvuIpFKpVAOxyNy5excRUUeRfDVFaR+zli3RvVsYvD27QEdHR4PRETUNTJaJiIgarlEmy4/cup2OyKNHkXLtutI+rczNEd4tDJ5dOkMs5ooRokeYLBMRETVco06WH7lx8yYioo4hNS1NaZ/WFhYI7x6Gzh07MmkmApNlIiIiVWgSyfIjqWlpOBJ5FDdv3VLax8rSEj26d0NHD3eIRCINRkfUuDBZJiIiargmlSwDlRsAr6WmIiLyKG6npyvtZ2NthR7du8PdzZVJMzVLTJaJiIgarskly49IpVJcTbmGiKijuHP3rtJ+drY26BHeHa7OzkyaqVlhskxERNRwTTZZfkQqlSIpORkRUUdx736G0n5t27RBz/DucHLswKSZmgUmy0RERA3X5JPlR6RSKRIvX0Hk0WNKazQDQPt27dAzvDscOzhoMDoizWOyTERE1HBPTLL8iEQiwcXEREQdPY6s7Gyl/To42KNneDjs27fTYHREmsNkmYiIqOGeuGT5EYlEgvMXLiLq2HE8yMlR2s/J0RE9w7ujXds2mguOSAOYLBMRETXcE5ssP1JRUYH48xdw9Nhx5OblKe3n6uKMnuHdYWdrq8HoiNSHyTIREVHDPfHJ8iMVFRWIjYvH0RMnkZ+fr7Sfh5sbeoR3g421tQajI1I9JstEREQN12yS5UfKy8txLjYOx06cRGFhodJ+nTp6oEe3brCystRgdESqw2SZiIio4ZpdsvxIWVkZzsbE4PiJUygqLlbaz7NzZ4R3D0NrCwsNRkfUcEyWiYiIGq7ZJsuPlJaW4vTZczgZHY3i4hKFfUQiEbw8uyA8LAytWplrNkCiemKyTERE1HDNPll+5OHDh4g+cxYno0/j4cOHCvuIxWL4eHmie1gozMzMNBwhUd0wWSYiImo4JstVFBeX4NTp04g+cxalpaUK+4jFYvj5+KBbWAhatmih4QiJaofJMhERUcMxWVaiqKgYJ6KjcebsOZSVlSnso6OjA38/X4SFBMPU1FTDERJVj8kyERFRwzFZrkFhYSGOnzyFszGxKC8vV9hHV1cXAf5dERoUBBMTYw1HSKQYk2UiIqKGY7JcS/n5+Th+8hTOxcahoqJCYR89PT0EBfgjJCgQRkZGGo6QtGXMmDHYtm0bKioqYGJigp9++gmTJk1S2Hf8+PHYsWOHrNa3ubk5vv/+e7n+u3btwtSpU3Hv3j0AgLGxMQ4ePIiQkJBax1XXZPn1ma8hPj4eJSUlEIlEsLCwwEcffYSQ0LBqj7tz5w7efHM2rl+7BqlUCl1dXUycNBnTpk0DAHz4wQeIjIyQLWsyMjLCuHHjMGXqtDrF11D1iWPhggXYsmUzysvLoa+vj/ETJsrGpU2zXp+JU6dOwdXNDRs2bFTar6b4r169inffmYP09HRIJBKYmZnhiy+/RFBQsCaGIVOb8fzvyy/w999/y7VHnz4j+/+ffvoRf//7/pJKpfjyf/9Dv3791Rb340pLS/Haq6/gwoULqKiogI6ODnx9ffHT4iUQi8VKj/vu22+wc+dOlJaWQiQSoV27dliwYCHa29vL+tT0HlOXjIwMzJ79BlKuXoVEIoGxsTHeevttDB06TGH/rVu2YMmSxSguLpbFGRoahnnz58v61PdzpqE2//E71qxZg9zcXEgkEowfPwGvvvaa7H6JRIKXX5qB+Ph4SKVStGzZEl/+73/VvhdqekxNxl/fc7+mc+ulGTMQGxsjOEZXVxfHT5zU2PhKSkrwyssvITk5GaWlpRCLxbC1tcPX33wDDw8PpY+pynOtNsmybp0f9QnUokULDOzfDyHBQTh2/CRi4+MhkUgEfcrKynDsxEmcOReDoAB/BAcGwNDQUEsRkybMmjULW7ZswaRJkzBy5Ei8++67mDJlCgIDA9G5c2e5/lFRURg0aBBGjRqFFi1aYNasWZg8eTI8PT3h71/5Zjx8+DCGDx8Of39/LFiwADY2Njh06BBatmyp1rFcvnwZ/fv3R7du3VFaVob58+fhzTffxO5/9sBCSenEoqIiPDt2DAyNjDDnnXfg7OSMy1cuo3Xr/+qTt2vfDuMnTISXlyekEilWr16FFStWwMXFFT169lTrmB5X1zi2bfsTmzb9htCwMDw1+in8+usvWLVyBVxdXdCzZy+NxV3Vrl07cebMGejr61fbr6b4JRIJpk6ZDLFYjA8+/BCtLSywcOFCvDFrVrWvubbG88jjybSoShJaUFAIV1dX2NjY4J9//lFpnDV56803kZCQgMlTpiAwIBARkZHY9NtGzJ37Hr799juFx/z551b8+eef6NmrF54d+yxSUlKwcOECvPTSDOz+Zw+A2r3H1GXK5EnIzs7G7Nmz0cHRCWtWr8YXn38OZydndOzUSa5/i5YtMXjIEAQGBMLMzAx79+3F9m3b8MnHH+Gzz78AUL/PGVXIz89H+/b2GDrUG+vX/yp3/5uz30BcXBwmTJgIdw8PzJ8/D7PfeAN79+1X+tlb02NqMv76nPu1Pbf09PSwdu062W19A4MGjUWR6saXk5ODmzdvYvTo0QgODsa9+xlYuOAHzJg+DZFRR5U+pqbPNc4sK5CTk4Ojx08gLuE8lP15DA0NEBIUhED/rjBQw8lF2mdqagonJyckJCQAqLzojYGBAfr164e9e/fWeHxpaSkMDAwwbdo0rFixAgBgb28PXV1dXLt2rUGxNXQZxvXr1/Hs2DF46623MGbsswr7fPThhzh06CAOH4mo0z8MgwIDMGTIEHz8yacNirGhqotj+LChKC0txd59+2VtPXuEw8bGFn9s3qzBKP+TlZmJ4cOHYcZLL+GXdetg16aN0pnYmuI/dfIkZs16Hd99N0/2j4Xy8nJ0CwvFoEGD8MmnnzWq8TyaWX58JlmZuNhYzJgxXaMzywMH9IepaQts/fNPWduQIYOhp6uLv3bIz4gDwJtvzsapkydx4uQpWdt7776LyMgInDwVDaD+77GGys3NRf9+fTFl6lRMnz5D1h7evRvc3T2wctWqWj3OkMGDoK+vj+1/7VB4f20+Z1QtKDBAMHMpkUgQGhKM0LAw/PDDAgDA3bt3MWL4MDwzZizefvvtOj+mOlX3XHU592tzbr00YwYuXryAo8eOqyT22qjN33LXrp344vPPsWr1anh6etXqcRtyrtVmZln570fNmLm5OYYNGYxXZ0yHl2cXiEQiuT4lJQ9xJDIKPy5dhuMnTymtrkFNU0FBAQoLCzFkyBBZm66uLjp06ID4+PhaPUZmZiYAwNbWFkBlsnLz5k04OjrC0tISYrEYpqammDt3ruoHUIOMjAwAgLWNjdI+p09Hw9raGuPHvYjgoEB0CwvFzNdeU3qul5aWYv6/P8n27NVb9UHXUm3iyMjIgKeX8EPYw8MD6em31R6fMtOmTYWTkzPGj59QY9+a4n90MSYTUxPZ/bq6uhCJRLJ//KlbXcbzSEhwEEKCgzBo0EBERkSoL7g6cnV1Q3r6bZw6Wfnz9IEDB5CVmYnQ0FClx4SFhaGiogIrV66ERCLB1atXcebMabRv317Wp67vMVV59PjGVZYU6ujo4Nq1lFo9xr59+5CVlQUfHx+lfWrzOaNusbExkEqlGDRokKzN1tYWpqamiKuyBOFJUttzq7S0FCHBQQgNCcbIEcNx/rxmPh+qk52dDQCwtq79eaPuc43LMKphYdEKI4cNRbeQEEQeO4aLlxLl+hQXF+PQkQicij6NsNAQdPX1gZ6enhaiJVVKSkoCADg6OgraW7duLVtrXJP+/ftDV1cXb775JgDg0qVLACqXYowYMQLPPfcc1q5di2+++Qa2traYNWuWCkegXHl5OT7+6EMYGxtXu+SgoKAAOTk5aN/eHp988ikSEy9h8+bNmPX66/h52TJZv8OHD2Pue+/Kbk+dNh3h4eFqHYMidYlDIpHA2tpa0Nba0lJpdRx1mz9/PjIyMrDul9r93FtT/KGhoRCLxfjs00+xbPkKtGrVCu/PfQ8SiUS2pl6d6jqezp07QywWwz8gAFlZWVi3di3eeWcO1qxdp3DJk6YtWLgQ06dNxaxZr8vagoKC8M677yk95qmnnsbNGzexauUKrFpZ+cuShYUFfl2/Qdantu8xVbOysoKxsTHWrl0L/4BAODk54YcfvkdRURF0datPC0KCg2TLFP39/ZX+SlHbzxl1S0tLAwA4OHQQtBsbGyMvL08LEWlGbc6tgAB/eHh4wNPLCzfS0vDrr79g+rRp+HvnLlhZWWkl7ry8PKxauRJ2dnawqWXiq4lzjclyLVhatsZTI0ege2goIo8eQ+KVK3J9CouKsP/gIZw8FY1uoSHw9fGu8UOHnlwDBw7EpUuVH07m5uYAIKu44uDggL/++gsAMHbsWNja2uKHH37QWLL84gvPIy8vDytXra6xr1gsxm+bNkFfXx+DBg9GevodHDsmXEcWHByMnxYvQVZmJrZu3YLVq1bC3d1d4wlzY4mjri5cOI+tWzbjf199rbK164aGhvj440/w1Vf/w+hRIwEAZmZmsnNRneoznpGjRmPkqMdujxyF3r16YtHCBVixsnZLAtRp4cKFSExMxDNjxsLPzw/R0dHY8dd2fPW/L/H+Bx8qPCYqKgp//PE7QsPCMHToMNxIS8OaNavx4gsvCJZz1OY9pg7z5s/Hu++8gwnjxwGoPGfs7Oxkv4gps3Tpz3iQk4OoyAjs3bsX8+Z9hzlz3pHrV5fPGVKPms6tqhugBw4ahJEjhuPnpUu0soyupKQEY8c8AwBYvmJlrY/TxLnGbK4OrK2t8MxTo3D33j1ERB1FUvJVuT75BQXYs/8Ajp+KRvewUPh4eUJHR0cL0VJDuLm5AahcB/W4rKwstKjhYjVDhw7Fvn378Msvv+Dpp5+We0wXFxdBfwcHByQmyv9qoQ7PP/cs0tLSsHTpzzXO2BkaGkIsFgs2Z3Xs6IGjR6NQVFQEY+PKUorGxsYIDAwEAAwaPBj9+vbBksU/aTxJrUscYrEY9+/fF7RlZWZq5VehyIhISKVSvD9XOEuZnJSEoMAAHD12XG6DXG3iHzR4MAYNHoy7d++iuLgYjo6O6NkjHHZt2qhvMKjfeKoyNDSEhUVr3K3lrzjq9ufWLejVq5dsfWvv3r1x+9ZN7N69W2myvOCH79G6tSUWLFgoa2vRogXmzfsOSUlJcHNzq/V7TB38/QNw6PARZGdnIzMzE25ubhg+bChMariugK+fH4DKv0FmZib+2r5dLlmuy+eMujk4OAAA0tJSZZ/BQOUGODs7O22FpXb1Obfs7OxgaGgom43XpJKSEoweNQoFBQX47bdNtZ5V1tS5xmS5HmxtbPDsM08j/c4dREQdxdUU+c1aeXl52L1nL46fOInwbmHw8uxSbYkhalxMTU1hYmKC3bt34+uvvwZQOTOcmpqKfv36KT1u8ODB2LNnD1auXInx48fLPaapqanc5r6bN2+qvTqBRCLBiy88j+vXr2PhokWyL7zqODo64tKlSygvL5f9SnIlKQlisbjaL3GpVKq0brkmVReHlZUVzldZu3vlyhW0adNWE6EJjBk7Fp27CD/kP/n4Y1hYWGDWG28oTCzrEv+jNfPR0adQXFyMAf0HqDB6efUZT1WlpaV48CAbzs7O6gqzTqRSKcRi4aRHTZ/npWVl0KnSR1e38jEeLWOo73tMlSwsLGBhYYHbt2/j3r17GDhwYK2PlUgkgk3w9fmcUTdfXz+IRCLs3btXtinu3r17KCgogI+v9uNTl/qcW1mZmSgpKYGlhpdgPEqU8/JysX7DRkFpRWU0fa4xWW6ANnZ2eH7sGNy8dRsRUUdxPTVVrk9Obi7+3v0Pjp04ifDuYejSqROT5iZiypQp+PHHHzFt2jSMGDECc+bMgVQqlW0ec3Z2hrW1NU7+u+ln0KBB2Lt3L95++20EBgbKNlJZW1vLEpZXXnkF3333HcaPH48JEyZg2bJluHPnDpYsWaLWsbzw/HO4du0aZr/5JixaWSD53zXZ1jY2MDMzAwCMGjkSFhatsHrNWgDAG7NnY8rkyZgwfhxmznwdCecTEBUZCX//gP/+RpMnYcCAAXBzc0f2gwfYuGE98vPzMa7KPxTUraY4qo5t4qRJ+Pabb/DWW29i9OinsP7XX1FUVISXX3lZo3EDlYlv1XV2urq6MDE1lbXXJ/6FCxbAxtYGbm5uiD4VjQ0b1sPSygoTldQJ1+Z4Xnn5JQQGBsHTyxMZGZlYunQJysvLMXXadNlj3Lx5E5cvJyI1tXLW69E/Fjo4dIDrYzOG6tC2bVscOnQQ9g72CAwIxLFjx3D69Gl0eqzEWmUptgfY/u8Sq9CQEPz999/48IMPMGr0KKSmpuLHRYtgZGQkqx9bm/eYuqxdswZSSOHr44uE8wlYtXIljIyMMPf9DxSO5/2578HewQG+vr4AgH179+LcuXPw8vKWPWZtPmfUISszEzGPbdZLTU3FgQP7YWtrC09PLwQHB+PY0aP4+eelcHf3wPx530FHRwfTp/93fvXt0xsBAYH4+ptvavWYmoy/Nud+fT6/J0wYj0GDBsHD3QPXrl/Dz0uXQiQS4aWXVPs5WN34XF3dMGrUSOQ8eIDPv/gS5WVlsvOmbbt2ssS+6uuj6XONpeNUKO3GDUREHUXajZtK+1i2bo0e3buhU0cPhVU2qHF55plnsH37dtlFSRYtWoQpU6YAqKyaYmlpiatXK5fj6OrqKryoTY8ePRDx2M7+SZMmYePGjSgrK4OhoSFmz56Nr776qk5x1bV0XFCg4i/f4cOH44MPPwIA9OndC+bm5vhz23bZ/X9t34aFCxeiuLgYOjo66NrVH9//8INsdvDpp55CevptVFRUQCQSoUWLFnhx3DhMmDCxTvE1VE1xKBrb4xf10NPTw4SJkxrFRUmAyngfL7VWn/jfffcdREVGQiKRQCwWw9PTEwsX/aixGcu6jGfciy/i6tVkSCQSiEQimJmb480338KAAf/Ngiu7cImvrx+WLV+u1virXsBDR0cHnTt3waIf//t7PjV6FHJycnDo8BHZce+9+y6OHTuKsrIyiMVi2NjY4OuvvxHUMa7pPaYuC374Hlu2bJG9Z5ycnPDDgoWyf9hXHc/jYwEAAwMDhIf3wKeffSabuazN54w6bNr0GxYuWCDX3q5dO/y5bbvCi5J88cWXCH7sQlChIcHw8vKWnUs1PaYm46/NuV+fz+/hw4YiIyND9hlhZWWFjz/5ROX/WKtufB999DFmzJiu4KjKhP+5554HIP/6qPJc4xX8tEAqleJ6ahoioo7i1m3lZaisrazQo3s3eLi7MWmmOuPlromIiBqOybIWSaVSpFy7joioo0i/c0dpP1sbG/QI7wY3FxcmzVRrTJaJiIgajslyIyCVSpF09Soio47i7r37Svu1sbNDz/DucHZyZNJMNWKyTERE1HBMlhsRqVSKy1eSEHn0GO7/e6UZRdq1a4ue3bvDsYMDk2ZSiskyERFRwzFZboSkUikuJV5G5NFjyMzKUtrPwb49eoaHw8G+vdI+1HwxWSYiImo4JsuNmEQiwYWLlxB57BgePMhR2s+xQwf06tEd7dpqvv4rNV5MlomIiBqOyXITIJFIEH/+PI4eO4Gc3Fyl/VycndEzvBvaPMFXHKLaY7JMRETUcEyWm5CKigrExSfg6PETyMvPV9rP3c0VPbp3g20tLwVJTyYmy0RERA3HZLkJKi8vR0xcPI6dOImCggKl/Tp6uKNH926w1vBlKalxYLJMRETUcEyWm7CysjKci43F8ROnUFhUpLRfl06dEN49DJatW2swOtI2JstEREQNx2T5CVBaWooz52Jw4lQ0iouLFfYRiUTw7NIZ4d3CYNGqlYYjJG1gskxERNRwTJafIA8fPsTps+dwMjoaJSUPFfYRiUTw8fJE925hMDcz03CEpElMlomIiBqOyfITqKSkBKdOn0H0mbN4+FBx0iwWi+Hr7Y3uYSFo2bKlhiMkTWCyTERE1HBMlp9gxcXFOBl9GtFnzqKsrExhHx0dHXT19UFYaAhamJpqOEJSJybLREREDcdkuRkoLCzCiehonDl7DuXl5Qr76Orqwt/PF2EhwTAxMdFwhKQOTJaJiIgajslyM1JQUIDjJ0/hbEwsKioqFPbR09NDoH9XhAQFwdjYSMMRkioxWSYiImo4JsvNUF5+Po4dP4mYuDhIJBKFffT19REU4I+QoEAYGhpqOEJSBSbLREREDcdkuRnLzc3F0eMnEJdwXmnSbGBggJCgQAQF+MPAwEDDEVJDMFkmIiJqOCbLhAcPchB1/DgSzl+AspfayMgQIUFBCPTvCn19fQ1HSPXBZJmIiKjhmCyTTFZWNqKOHcf5ixeV9jE2NkZYSDD8/Xyhp6enweiorpgsExERNRyTZZKTkZGJyKPHcOnyZaV9TE1M0C00BH6+PtDV1dVgdFRbTJaJiIgajskyKXXv/n1ERB3FlaRkpX1atmiBbmGh8PX2go6Ojgajo5owWSYiImo4JstUo/Q7dxF59CiSr6Yo7WNm1hLhYWHw8uzCpLmRYLJMRETUcEyWqdZu3U5HRNRRXLt+XWmfVq3MEd4tDJ6dO0MsFmswOqqKyTIREVHDMVmmOrtx8yYioo4iNe2G0j6tLSzQo3s3dOrowaRZS5gsExERNRyTZaq366lpiIg6ipu3bintY2VpiR7du6GjhztEIpEGoyMmy0RERA3HZJkaRCqV4tr1VEREHcXt9HSl/fx8vDF08CANRkZMlomIiBquNskyf0MnpUQiEZydHDF5wjg8O+Zp2NnaKOwXExeP7OwHGo6OiIiISP2YLFONRCIR3FxcMHXSRIx5ajRsrK3k+iReuaKFyIiIiIjUi8ky1ZpIJIKHuxumT5kMzy6dBfcxWSYiIqInEZNlqjORSASvLl0Ebenpd5Cbl6eliIiIiIjUg8ky1UsHB3sYGhoK2i5fSdJSNERERETqwWSZ6kVHRwfuri6CtsTLXIpBRERETxYmy1RvHh7ugts3bt5EQUGhlqIhIiIiUj0my1Rvzo6O0NfXF7RdSeJSDCIiInpyMFmmetPV1YWrs7OgjVUxiIiI6EnCZJkapGOVpRipaTdQXFyspWiIiIiIVIvJMjWIi7MTdHV1ZbclEgmSkq9qMSIiIiIi1WGyTA2ir68PZydHQRuXYhAREdGTgskyNVhHd+FSjJRr1/Hw4UMtRUNERESkOkyWqcHcXF0gFv93KlVUVCD5aooWIyIiIiJSDSbL1GCGhoZw7NBB0Mar+REREdGTQLfmLkQ16+jhjpRr12S3k1NSUFZWBj09PS1G1XBjxozBtm3bUFFRARMTE/z000+YNGmSwr7vvPMOlixZgqKiIgCV/4iYMGECli1bJui3a9cuTJ06Fffu3QMAGBsb4+DBgwgJCVHbODb/8TvWrFmD3NxcSCQSjB8/Aa++9lq1x7w/9z1ERUWhrKwMurq6GDp0KOa+/4Ggz5w5b+PE8eMoLy+HWCyGi4srlixdipYtW6ptLADw+szXEB8fj5KSEohEIlhYWOCjjz5CSGiY0mMiIyLw3bzv8CA7GxUVFQjv0QPz5s1X2n/W6zNx6tQpuLq5YcOGjeoYhkx9xgPU/Pevz+uuDh9+8AEiIyNQWloKADAyMsK4ceMwZeo0pccsXLAAW7ZsRnl5OfT19TF+wkRMm6a8v7olXrqEuXPfw927dyGVSqGvr4+5c9/H4CFDFPbfumULlixZjOLiYkilUujq6iI0NAzz5v93zmVkZGD27DeQcvUqJBIJjI2N8dbbb2Po0GGNbjybNv2GhQsWyLVv2LARrm5uALQ3ntCQYFRUVMi1Ozk7Y9Om3xUeU935VVJSgldefgnJyckoLS2FWCyGra0dvv7mG3h4eKh1LABQWlqK1159BRcuXEBFRQV0dHTg6+uLnxYvEfyKW9WmTb/h56VL8fDhQ+jo6GDIkCH44MOPZPfX532orfH89NOP+HvHDuTn50MqlcLIyAgTJkzEpMmTZX00eb4xWSaVcHd1xW7RXkilUgBAWVkZUq5dh4e7m5Yjq79Zs2Zhy5YtmDRpEkaOHIl3330XU6ZMQWBgIDp37izXv02bNnjttdfQvXt3GBsbY/HixVi+fDnat2+PDz6oTDIPHz6M4cOHw9/fHwsWLICNjQ0OHTqk9uQyPz8f7dvbY+hQb6xf/2uN/T/84AMcOnQIY8eORY+ePXHkSAS2bP4DrSws8NJLLwMA5n33LaIiI/H000+jX7/+iIuLw/Lly/Daq6/g1/Ub1Dqey5cvo3///ujWrTtKy8owf/48vPnmm9j9zx5YWFgoPCa/IB9Wlpbo1as3tm7ZXO3j79q1E2fOnJG76I661Gc8tfn71/V1V5d27dth/ISJ8PLyhFQixerVq7BixQq4uLiiR8+ecv23bfsTmzb9htCwMDw1+in8+usvWLVyBVxdXdCzZy+Nx3/79m1MmTIZdnZ2+ODDj9CubVvEx8fD2sZa6TEtWrbE4CFDEBgQCDMzM+zdtxfbt23DJx9/hM8+/wIAMGXyJGRnZ2P27Nno4OiENatX44vPP4ezkzM6durUqMbzyKJFP6J169ay245OTrL/19Z4Nv62CeVlZbLbJ0+dxJLFizF8+HCF/Ws6v3JycnDz5k2MHj0awcHBuHc/AwsX/IAZ06chMuqo2sbxyFtvvomEhARMnjIFgQGBiIiMxKbfNmLu3Pfw7bffKTwmNiYGCxcsgIeHB6ZNm47du3fj77//Rps2bWUJZl3fh9ocT3R0NLp06YI+ffvCysoKK1eswLJlP6NN27YYMGAAAM2ebyLpo+yGqIF+2fAb0m7ckN327NIZo4arf4ZEXUxNTeHk5ISEhAQAQHl5OQwMDNCvXz/s3bu3Vo9hbGyMrl274ujRyg9Ye3t76Orq4tpjs/D1cfrM2XofGxQYUOMMY6+ePeDg4IB1v/yXYE0YPw43btzAkYhIAMDzzz2L+/fv4+Chw0r7aMr169fx7NgxeOuttzBm7LM19g8NCUZYt24KZ5azMjMxfPgwzHjpJfyybh3s2rRR+8xyVbUZT13//rV53TUpKDAAQ4YMwceffCp33/BhQ1FaWoq9+/bL2nr2CIeNjS3+2Fz9P3TUYfKkiUhNTcXhIxENepwhgwdBX18f2//agdzcXPTv1xdTpk7F9OkzZH3Cu3eDu7sHVq5a1cColavPeB7NLP+142/Y2dnJ3a/N8VT14osv4FpKCo4dP6Fw5rI+59euXTvxxeefY9Xq1fD09FJb7AAwcEB/mJq2wNY//5S1DRkyGHq6uvhrx98Kj5k8aSKSkpJw7PgJWdvwYUNRUlKC/QcOKn2u6t6HqlKf8SjSLSwUXl5eWPrzMpWeb4EB/jX24ZplUpmqFyhJSr6q8KexpqCgoACFhYUY8thPkrq6uujQoQPi4+NrPF4ikWDevHkoLi6WPUZ5eTlu3rwJR0dHWFpaQiwWw9TUFHPnzlXbOOqroqJCblZVX98ARUVFKCkpAQD4+voiPz8fO3fuBACcO3cWKSkp6NLFU+PxZmRkAACsbWwa/FjTpk2Fk5Mzxo+f0ODHqq/ajKcx/f3rorS0FPP/XYrQs1dvhX0yMjLg6SVMSDw8PJCeflvt8SmSlJSEtm3bYeiQIQgOCkR492749JOP6/QY+/btQ1ZWFnx8fABA9lO4sZGRoJ+Ojg6uXVPvBumGjOep0aMQHBSIfn374M8/t8ratTmexxUVFeFqcjK6dvVX+hN/fc6v7OxsAIC1dcM/Y2ri6uqG9PTbOHXyJADgwIEDyMrMRGhoqNJjUlNT0cFRWMY1IDAQubm5CvvX5n2oKvUZT1Xl5eWoqKiAmZk5AM2fb1yGQSrj4e6GvfsPyG4/fPgQ11JT5S6J3RQkJVVuUHSs8uHTunVr2VpjRW7cuAEHBwfZ7YkTJ+K9994DAFy6dAlA5VKMESNG4LnnnsPatWvxzTffwNbWFrNmzVL1MOrNzc0NCQkJ2PPPPxgwcCD27tmD8+crZ9hv3LgBNzc3zHnnXWRmZeHLLz7Hl198DqDy7/XT4sUajbW8vBwff/QhjI2NG/wT/fz585GRkSGYUde02o6nsfz9a+vw4cOY+967sttTp01HeHi4wr4SiQTW1sIlAa0tLVH22E/tmlRWVoakpCvw9PTEzNdfx4njx7Bnzx7o6+vj/Q8+rPbYkOAgSCQSAIC/vz8++fQzAICVlRWMjY2xdu1a+AcEwsnJCT/88D2KiooEF3pqLOPp4OCAAQMGIiQkBMUlxfht40Z89+23MDExxcCBA7U6nsctX/YzpFJptb+g1PX8ysvLw6qVK2FnZwcbFfyDvCYLFi7E9GlTMWvW67K2oKAgvPPue0qPefjwISxatRK02dpW/gKQm5sLMzMzAHV7H6pKfcZT1Zy334JEIsG06dMBaP79w5llUpmWLVqgXdu2grbmVhWjTZs2OHjwIH7//XcMHToU69atw8KFCwFUJkEA4ODggL/++gtjx47F3r17YWNjgx9++EGLUcv7/ocFaNeuHT799BOEBAfhiy8+R6d/14A9mq3ZtOk3REZEYPDgwfj6m28xbtx4pKWl4dVXXtZorC++8Dzy8vKweMnSBj3OhQvnsXXLZnz62edqX0NendqOp7H8/WsrODgYPy1egk8//QxdunTB6lUrERUVpe2was3Y2BirVq/BgAED8NnnX8DFxRX79++v8bilS3/G1998i0GDBuHcuXOYN++/NZqPNvtNGD8O3buFYc8//8DOzg4ikUht43ikruMJCQ3D5198gUGDB2P06Kew9c9tMDU1xfJlPzeK8TyyZ88etGrVSmUb8UpKSjB2zDMAgOUrVqrkMWuycOFCJCYm4pkxY/H1N99i5KjROH36NL7635cNfmxtvA8bOp55332LEydO4NXXXoPTY2vkNXm+cWaZVKqjhxtu3f7vp6wrV5IwZOCAanfwNkZu/+7uvn79uqA9KysLLVq0UHqcrq4u+vTpAwAYO3Ys3N3d8eWXX+KNN96QPaaLi4vgGAcHByQmJqoy/AYzMzPD1j+3oaSkBCkpKXB1dcXnn32GixcvosO/ZQJXrlgBDw8P2UxZ7969UVBYgO3btqG8vFwjs0nPP/cs0tLSsHTpzwo3XdZFZEQkpFIp3p8rnO1ITkpCUGAAjh47rvYNf3UZT2P4+9eFsbExAgMDAQCDBg9Gv759sGTxTwpntcRiMe7fvy9oy8rM1Fp1HbFYDEtLS0Gbo6NjrX7u9fXzA1D5+mRmZuKv7dsxZ847AAB//wAcOnwE2dnZyMzMhJubG4YPGwoTU1PVD+IxDRnP49q3b4/U1FTZbW2N55H4+Hjk5uZiwoSJ1far7flVUlKC0aNGoaCgAL/9tkkjs8oA8OfWLejVqxfefvttAJXnzu1bN7F7926lM/8GBgbIfvBA0Hb37h0AkM0qA3V7H6pKfcbzyPz587F161ZMmTpVbmmcJs+3xvVpSk2eh7s7Dhw6IrtdVFyMtBs34djBoZqjGh9TU1OYmJhg9+7d+PrrrwFUzgynpqaiX79+tX4cqVQqm1E2NTWFqamp3Oa+mzdvKq14oG2GhoaypO3kyROwtbWVJWGPypU9TkdHBwBkPzuri0QiwYsvPI/r169j4aJFsoSkIcaMHYvOXYQJ6icffwwLCwvMeuMNtSbK9RmPNv/+qvD4e6MqKysrnP93Y+0jV65cQZs2bRX2Vzdra2tkZWUJ2tLS0mBoaFinx5FIJFC0p97CwgIWFha4ffs27t27h4EDBzYo3pqoajy3b9+GiYmJXLumx/PIz0uXQiQSYfKUKdX2q8359ShRzsvLxfoNG9He3l4tMSsilUohFusI2mqacOrQoQOSk5MFbWfPnBEkysqeS9n7UFXqMx4AmDfvO2zdsgUTJkwUbOKrShPnG5NlUqlW5uawtbHB3cfW9V6+cqXJJcsAMGXKFPz444+YNm0aRowYgTlz5kAqlco2RTg7O8Pa2hon/920MGDAAPTq1QvBwcEoKCjA8uXLkZycjPHjx8se85VXXsF3332H8ePHy2ow37lzB0uWLFHrWLIyMxETGyO7nZqaigMH9sPW1haenl7/luB5gO1//QUAOHXyJCIiI9CrVy/cv5+BlSuWo7CwEN9//99ykU6dOiM2Ngbz589Hn969kXA+Adu3bYONjY3aZ2BfeP45XLt2DbPffBMWrSyQ/O8ac2sbG9mXw6iRI2Fh0Qqr16wFULnx5/jxYwAqP7wz7t/HgQP7YWZmjsDAQFhZWcmtEdbV1YWJqanay5XVZzy1+fvX9LprypTJkzBgwAC4ubkj+8EDbNywHvn5+Rj373uj6tgmTpqEb7/5Bm+99SZGj34K63/9FUVFRXhZS0tMpk2fji8+/xwzX3sN48aPR2TEESQlXcFTTz0lGOPj76H3574HewcH+Pr6AgD27d2Lc+fOwcvLW3bM2jVrIIUUvj6+SDifgFUrV8LIyEiunnljGM+cOW/DsYMj/AMCUFRUiFWrViEvLw8zZ87U+niAyn88xsfHoVOnTnJJf13Pr5KSEowaNRI5Dx7g8y++RHlZmew92bZdOxgbG6t1LG3btsWhQwdh72CPwIBAHDt2DKdPn5YthQPkX5+ZM1/HSy/NwKSJEzB12nT8889u3L17V1bq89Ex1b0PG9N45n33LbZu3Yq+/fqhX79+sr9/i5YtYWtrC0Cz5xtLx5HKHT1+Akci/1sDZWpqitkzX9XoujVVeeaZZ7B9+3bZRUkWLVqEKf/OWpibm8PS0hJXr14FAHTr1g2nT59GWVkZRCIRTExMMHnyZCxatEjwmJMmTcLGjRtRVlYGQ0NDzJ49G1999VWd4qpr6ThlFxRo164d/ty2HU+NHoWcnBwcOlz5q8Cxo0fx/vtz8fDhQwCVGxurXiSjpKQEs994A/HxcaioqIBYLEYHR0f88MMChaWlVCkoMEBh+/Dhw2VF+Pv07gVzc3P8uW07ACAuNhYzZkyXO8bU1FQ27qr69O6lkdJx9RlPbf7+Nb3umvL0U08hPf02KioqIBKJ0KJFC7w4bpzs5/KqYwOEF43Q09PDhImTtHpRkhXLl2H9+vUoLS2Fnp4e+vbti08/+1x2f9X30Hvvvotjx47KNo0ZGBggPLwHPv3sM9mvMwt++B5btmyR/V2cnJzww4KFsmSgMY1n9huzEB0dLYvVxMQEU6ZMxfMvvCA7RpvjWbd2LX7+eSkWLfoRwVUu8FTX80vZZwUAvDF7Np577nn1DQTyF9vQ0dFB585dsOjHH2WJetXXB6j5oiQ1vQ8b03j69O6FgoICucd6/LNLVedbbUrHMVkmlcvMzMLSKhshJo0fh/bttPMT6pOoIXWWiYiIqBLrLJNWWFq2hlWVzSOJV65oKRoiIiKi+mOyTGpR9TLXly9fUbixhYiIiKgxY7JMalH1an45ubmCTX9ERERETQGTZVILG2trtDI3F7QlXuZSDCIiImpamCyTWohEInhUmV1O5FIMIiIiamKYLJPadHQXJstZ2dnIzMxS0puIiIio8WGyTGrTto2d3KWhWRWDiIiImhImy6Q2IpEIHatUxeC6ZSIiImpKmCyTWnlUWYpx7/59ZD94oKVoiIiIiOqGyTKplX37djD593KWj3B2mYiIiJoKJsukVmKxGO5uVS5QciVJS9EQERER1Q2TZVI7Dw9hsnw7PR15eXlaioaIiIio9pgsk9o5OjjA0NBA0JbI2WUiIiJqApgsk9rp6OjAzdVV0MZ1y0RERNQUMFkmjah6gZIbN2+ioKBQS9EQERER1Q6TZdIIZydH6OnpCdquJHEpBhERETVuTJZJI3R1deHq4ixo47plIiIiauyYLJPGVF2KkZqWhuLiEi1FQ0RERFQzJsukMa4uztDV1ZXdlkgkSEpO1mJERERERNVjskwao6+vD2cnR0Fb4hVWxSAiIqLGi8kyaVTVpRgp167j4cOHWoqGiIiIqHpMlkmjXF1cIBb/d9pVVFTgaso1LUZEREREpByTZdIoIyNDOHZwELTxAiVERETUWDFZJo2ruhQjOSUFZWVlWoqGiIiISDkmy6Rx7m5uEIlEsttlZWVIuXZdixERERERKcZkmTTOxMQY9u3bC9pYFYOIiIgaIybLpBUd3d0Et5OSr6KiokJL0RAREREpxmSZtMLDQ7hu+eHDh7iemqalaIiIiIgUY7JMWtGyRQu0bdtG0MalGERERNTYMFkmralaFePKlSRIJBItRUNEREQkj8kyaU3VZLmouBhpN25qKRoiIiIieUyWSSsePnyIlOvXoaOjI2i/zKUYRERE1IjoajsAaj6kUilup99BTFwcLl5KVHghkvsZmVqIjIiIiEgxJsukdiUlJUi4cBGxcXG4dz+j2r727dtpKCoiIiKimjFZJrWQSqW4ees2YuPicDHxMsrLy6vtb9ayJQIDuiIoIEBDERIRERHVjMkyqVRxcTESzl9ATFw8MjKrX1IhEong7uoKP18fODl2gFjMJfRERETUuDBZpgaTSqW4cfMmYmLjceny5RqvxGdubgZfb2/4eHuhhamphqIkIiIiqjsmy1RvRUVFiD9/HjGx8cjKzq62r1gshrvbv7PIHTpAJBJpKEoiIiKi+mOyTHUilUqRmpaGmNh4XE5KqnEW2aJVK/j6eMPb0xOmpiYaipKIiIhINZgsU60UFBQi/vx5xMbFI/vBg2r76ujowMPdDX4+PujgYM9ZZCIiImqymCyTUlKpFNdSUxETG4crSck1Xoq6tYUF/Hy94dXFEyYmxhqKkoiIiEh9mCyTnPyCAsTFJyA2Ph45ObnV9tXR0UEnDw/4+XrDvn37J2YW+aeffsKXX36JzMxMSCQSvPfee/j666+rPWbhwoV4//33UVxcDF1dXUyYMAGrVq1S2HfgwIHYt28ffHx8EBsbq44hCHz4wQeIjIxAaWkpAMDIyAjjxo3DlKnTFPbv07sXCgoK5NrNW7XCvn37UVJSgldefgnJyckoLS2FWCyGra0dvv7mG3h4eKh1LADw+szXEB8fj5KSEohEIlhYWOCjjz5CSGiY0mNqGhMABAUqLl0YGhaGBQsWqiR2Rer6+gDAnDlv48Tx4ygvL4dYLIaLiyuWLF2Kli1bVsYcEqxwmZSTszM2bfpdPQP5V33Gc+fOHbz55mxcv3YNUqkUurq6mDhpMqZNqzwmIyMDs2e/gZSrVyGRSGBsbIy33n4bQ4cOU+tYAKC0tBSvvfoKLly4gIqKCujo6MDX1xc/LV5Sqyo+f/65Fd99+y309fVx9NhxWftLM2YgNjZG0FdXVxfHT5xU+RgeV9dz46effsTWLVtQUlICANDX18fgIUMxd+5cWZ+XZszA+fMJsjKhLVu2xMyZr2P4iBFqGsV/6jqekpISvDn7DcTFxaGiogL6+vqYNHkyJk+eIuvT0Ne8oep6vm/dsgVLlixGcXGx7P0TGhqGefPny/po6zOhrmNJSkrCnLffQmZmJsrLy+Hq5oYNGzYK+nz6yceIiopCYWEhgMrz7fVZb2DYMPV8HjBZJgCARCJByvXriImNQ1LyVUil0mr7W1laws/HG16eXWBkZKShKDXnwYMHcHV1xcSJE/Hdd9/V2D8qKgqzZ89G165d8emnn+KXX37B6tWr4ejoiA8++EDQ95dffsGhQ4dgaGiorvDltGvfDuMnTISXlyekEilWr16FFStWwMXFFT169pTrv+6XX1FSXCy7nZ6ejnfemYPw7t0BADk5Obh58yZGjx6N4OBg3LufgYULfsCM6dMQGXVU7eO5fPky+vfvj27duqO0rAzz58/Dm2++id3/7IGFhYXCY2oaEwC5D+Tf//gdu3buxIsvvqiegfyrrq/PvO++RVRkJJ5++mn069cfcXFxWL58GV579RX8un4DAGDjb5tQ/thVMk+eOoklixdj+PDhah1LfcZTVFSEZ8eOgaGREea88w6cnZxx+cpltG5tKeszZfIkZGdnY/bs2ejg6IQ1q1fji88/h7OTMzp26qTW8bz15ptISEjA5ClTEBgQiIjISGz6bSPmzn0P335b/efDnTt38P38+TAzM0PxY+ffI3p6eli7dp3str6BgarDl1PXc8PS0hLPPDMGPj4+MDQyxObNm/HX9m2wtbHBpMmTAQDOzk4IDQtF586dUZBfgMWLf8L//vclPL284Ojo2KjG88rLLyExMRGTp0yFn58vtm/bjuXLlqFt23YYMGAAgIa95qpQ1/O9RcuWGDxkCAIDAmFmZoa9+/Zi+7Zt+OTjj/DZ518A0N5nQl3HUlRYiBYtWiA4OBh79uxR+JhxcXEICQ1Fz549YWxsgh++n48vv/gcLs7q+TwQSWvKiuiJlpefXzmLHBeP3Ly8avvq6uqic0cP+Pn6oF3btk/MLHJNRCJRjTPLQUFBspnOR+zt7VFUVITMx+pN3717F/b29vjyyy/x1VdfwdHRsV4zy6fPnK3zMXIxBwZgyJAh+PiTT2vsO2fO24iKjMSevfuUJqO7du3EF59/jlWrV8PT06vB8dXF9evX8ezYMXjrrbcwZuyztTqmNmMaPGggSktLcfDQYVWGWyvVvT7PP/cs7t+/L4hrwvhxuHHjBo5ERCp8vBdffAHXUlJw7PgJrdQ0r248H334IQ4dOojDRyIU/iMyNzcX/fv1xZSpUzF9+gxZe3j3bnB398BKJb/gqMrAAf1hatoCW//8U9Y2ZMhg6Onq4q8df1d77PBhQ2FrawuxWAcXL16Qm1mu2qYN9Tk3wrt3g4eHB1asVPy3v3fvHoYPG4qZM2fixXHjVRlujWoaT0hwEHr16oWvvv5G1lb19WzIa95QqjrfhwweBH19fWz/a4fC+zXxmdDQsfTp3Qt2bdrITWRUVVpaiu7dwjBy5EjMff+DavtWFRjgX2MfXgWiGZJIJLiSnIzft2zFosVLERF1tNpE2drKCoP698Obr7+GEcOGon27ds0mUa6ty5cvo2PHjoK2vn37IisrS9AWFhaGLl264J133tFkeAKlpaWY/+9Pcz179a7VMadOnoSDg4PSpBIAsv8tH2htbdPwIOsoI6PyMurWNrV/7prGdPXqVWRlZclmmjSlNq+Pr68v8vPzsXPnTgDAuXNnkZKSgi5dPBX2LyoqwtXkZHTt6q/xRLk24zl9OhrW1tYYP+5FBAcFoltYKGa+9ppsGcej/xpX+RVLR0cH166lqDH6Sq6ubkhPv41TJyuXRxw4cABZmZkIDQ2t9rgvvvgcubm5+PGnxUr7lJaWIiQ4CKEhwRg5YjjOn09Qaew1qeu5IZFIsGH9r3j48CHCunVT+pjffluZiHYP76HSeGtSm/FIpVK5f5Tp6eri/v37stv1fc1VQRXn+759+5CVlQUfHx+F92vqM0FT793c3Molo61bt1bZYz6OyzCakdzcXMTGJyA2PgH5+fnV9tXT00OXTh3h6+ODtm3smBzXoLi4GNbW1oI2BwcHAJVJpIWFBV5//XXcvn0b586d00aIOHz4MOa+967s9tRp0xEeHl7jcTt37kRpaSnGjZ+gtE9eXh5WrVwJOzs72NQhYVWF8vJyfPzRhzA2NkbPnr1qdUxtxrRk8U8AgBkvvaySOGtSl9dnzjvvIjMrC19+8Tm+/OJzAICjoyN+Wqw4KVu+7GdIpVK8+tprqg9cibqMp6CgADk5OWjf3h6ffPIpEhMvYfPmzZj1+uv4edkyWFlZwdjYGGvXroV/QCCcnJzwww/fo6ioCLq66v8aW7BwIaZPm4pZs16XtQUFBeGdd99Tekx09Cns3rULCxcuUrrkKiDAHx4eHvD08sKNtDT8+usvmD5tGv7euQtWVlYqH4citT037t69ixHD/1sPOmToMEyYMFHQZ8XyZVi9ejWAytr6H338sexzUFNqMx4bGxvs378fAwYORNeu/ti4cQPu3Lkj6FOf11xVGnK+hwQHyTbj+/v745NPP1PYT1OfCZp6774+8zXo6Ojg2eeeV9ljPo7J8hOuoqICyVdTEBMXh6sp12rsb2tjAz9fH3h27gQDDayday6io6OxePFibN68Gebm5lqJITg4GD8tXoKszExs3boFq1ethLu7e40J84b1v0JfX1/pxomSkhKMHfMMAGD5ipUqj7smL77wPPLy8rBy1epaH1PTmADg9OnTcHFxkW2YU7e6vD6bNv2GyIgIDB48GN3De+DSxYvYuHEDXn3lZSxZ+rNc/z179qBVq1Ya2Xz5SF3PN7FYjN82bYK+vj4GDR6M9PQ7OHbsv/Xv8+bPx7vvvIMJ48cBAAwNDWFnZydY5qQuCxcuRGJiIp4ZMxZ+fn6Ijo7Gjr+246v/fYn3P/hQrn9paSnemTMH/fr1R3BIiNLHrbrhceCgQRg5Yjh+XrqkVsujVKG254alpSV+WrwEubk52Lt3L3bv2glXVxc891hy8vQzY+Dj64f09HRsWL8eX/3vf+jUqTOcnJzUPQyZ2oxn4aIf8eorL+P1mTMBVC4xdHJ2xrWU/2Y66/qaq1p9z/elS3/Gg5wcREVGYO/evZg37zvMmSP/S6YmPxPU/d6d9fpMXLt2DV99/Y3aPq+ZLD+hHuTkIDYuHnEJ5xVWAHicvr4+unTqBD9fH7Sxs9VQhE8WIyMjwU94AJCWlgYAsLCwwF9//QWpVIpnnnlG0CcuLg4ikQgPHz6Evr6+WmM0NjZGYGAgAGDQ4MHo17cPliz+qdpkOTs7G6mpqQo3ZQGVifLoUaNQUFCA337bpPFZ5eefexZpaWlYuvRndO7cuVbH1DQmANi8eTPKy8sxcdJkFUVas7q8PitXrICHh4ds1qh3794oKCzA9m3bUF5eLpixiY+PR25urtwsoLrVZTyGhoYQi8WC90DHjh44ejQKRUVFMDY2hr9/AA4dPoLs7GxkZmbCzc0Nw4cNhYmpqdrH8ufWLejVqxfefvttAJV/79u3bmL37t0KE6esrCyUlJRg//592L9/n+C+oMAAvP76LLygYNOonZ0dDA0NZZ8d6laXc0NXV1f2evbr1x/PPP0U1q5ZI0iWLSwsZH1GjhyJsNAQLFzwQ7XLUFSptuNxdHTEP3v2Ii8vD7dv3YK7hwemTpkMPT09WZ+6vuaqVt/z3dfPTxZvZmYm/tq+XS5Z1vRngjrfu2++ORunTp3CJ598ij59+qggWsWYLD9BKioqcCUpGTFx8bh2/XqN/dvY2cHP1wddOnVUe6L2pPPw8EB8fLyg7fDhw7L1UzNnzpR9iTzy4osvwsbGBt9//71W/v5SqVRW5kmZn5cuAQDMfG2m3H2PEuW8vFys37AR7e3t1RKnIhKJBC++8DyuX7+OhYsWyb4gaqO6MT3yx++bYGhoiH79+jU41vqq7vV5VC7ucTo6OgAgVw/956VLIRKJMHnKFGhTdeNxdHTEpUuXBIn+laQkiMViGBsLa7ZbWFjAwsICt2/fxr179zBw4ECNxC4W6wjaqlvnaWVlhW+rVNFZvmwZbty4gf999RW8vLwVHpeVmYmSkhJYamgJRkPODalUWuMVXKVSKUpLy6rto0p1HU/Lli3RslMnlJSU4PLly+j0WBWFur7m6tKQ810ikSisbKWtzwRVv3dnvzELJ06cwNz3P8DgIUNUFKViTJafANnZDxATH4/4+AQUFhVV29fAwACenTvDz9cbthqeBWxK7t69i8jI/6oKJCYm4o8//oC9vT1CQkIQEhKC+/fvI+Xfn+3mzZuHHj16IDAwEJ9++il+/fVXpKWl4csvvwQAtGnTBqNGjRI8h56eHszMzOTa1WHK5EkYMGAA3Nzckf3gATZuWI/8/HyMG1+5S33UyJGwsGiF1WvWCo47dOgQbGxs5BLhkpISjBo1EjkPHuDzL75EeVkZkpOSAABt27WTS3BU7YXnn8O1a9cw+803YdHKQvbc1jY2MDMzq9eYHrl37x5u3bqF/v01t7Gvrq9Pp06dERsbg/nz56NP795IOJ+A7du2wcbGRvAPr/LycsTHx6FTp04aLVVY1/G8MXs2pkyejAnjx2HmzNeRcD4BUZGR8Pf/r+712jVrIIUUvj6+SDifgFUrV8LIyKjOO9/ro23btjh06CDsHewRGBCIY8eO4fTp04LkqrI81gNs/+sv6Orqyq2f/33T7xCLbwnaJ0wYj0GDBsHD3QPXrl+TJTEvaWCdfHXnRtXX5/WZr6Grvz+6dOmC4qJibP9rO27evInBgwcDqPy15p05b2PosOFwdHRE+u3bWL16FSoqKvDcc8+pfSx1Hc/fO3Yg7UYaQkNDkZJyDSuWLwMAfPHl/2TH1OY1V6eazvfHzzcAeH/ue7B3cICvry8AYN/evTh37pzcP8y08ZlQ17EAwIED+2XxFuTn48CB/TAwMJT9MvXGrNdx8uRJvPDCi+jcqZPsO8DCwgKtLS2hakyWm6jy8nJcSUrGudg4pNbiJ7t2bdvCz8cbnTp6cBa5Fn7//XfMnj1bdnvHjh3YsWMHnJ2dcfXqVWRkZAgqXYSHh2PBggV4//33MWTIEOjq6mLKlClyNZa1JTc3DwsXLkRFRQVEIhFatGiBV159VfYzXF5eLsRi4SbOkyeOo7CwEBMmTpR7vMuJicj+d/wffvC+4L43Zs8W/DSrDteuVa6/X/DDD4L24cOH44MPPwJQ9zE9snRJ5U/GmtwMV9fXZ+GiRZj9xhvY9udWbNn8B8RiMTo4OuKHHxYIHnfD+vWQSCSCkk2aUNfxdOniiblz52LhwoWYNet16OjoICAgEN8/9vrm5DzAli1bZI/p5OSEHxYs1MgX/rLlKzB79htYu2YNVq9aBR0dHXh6emHRjz8+Fl8O8vKqv4hTVQ+ys7Fo4UJIJBKIxWJYWVnh62++UXtdYqD6c6Pq61NcXIIVy5fLfhkwNjbG2LFj8eZblUsUdHV1cefOHXz7zdeysZi3aoWPPv642uVO2hpPUXER/vj9d2xYvx4ikQh2dm2weMlS2NnZyfrU5jVXp5rO96rnm0QixYb167F2zRoAlRNj/fr1x6efCTf4aeMzoa5jASovbPTInTt38OEHH0BHRwcnTp4CULmnBAA2btyAjRs3yPr6+vph2fLlKh8D6yw3MZlZWYiJi0dCwnkUKShw/zhDQwN4dekCXx9v2FSp1EBNmyrqLBMRETV3tamzzJnlJqC8vByJl68gJi4OaTdu1ti/fbt26Orrg44e7oINC0RERERUN0yWG7GMjEzExMUh4cIFFBeXVNvXyMgQXp6e8PP2hpWV6tfrEBERETVHTJYbmbKyMly6fBkxsfG4eetWjf0d7O3h5+uNju7uGinOT0RERNScMLtqJO7dv4+Y2DgkXLiIhw8fVtvX2MgI3l6e8PXxhqWaLu1IREREREyWtaq0tBQXExMRExeP27fTa+zv2MEBfj4+cHdz5SwyERERkQYw49KCO3fvIjYuHucvXqpxFtnE2Bg+3l7w9fGGRatWGoqQiIiIiAAmyxrz8OFDXLyUiJi4OKTfuVtjf2cnR/j5eMPN1VV2ZS4iIiIi0iwmy2oklUpx5+5dxMTG4cKlRJSWllbb39TUFD5eXvD18UIrc3PNBElERERESjFZVoOSkhJcuHgJMXFxuHvvfo39XZyd0dXXG64uLlq59jwRERERKcZkWUWkUilup6cjJi4eFy8loqysrNr+LVu0qFyL7O0FMzMzDUVJRERERHXBZLmBSkpKkHDhImJi43A/I6PaviKRCK4uzvDz8YGLsxNnkYmIiIgaOSbL9SCVSnHz1m3ExMXhUuJllJeXV9vfrGVL+Pp4w8fLEy1bttRQlERERETUUEyW66CoqBgJFy4gJjYOmVlZ1fYViURwd3WFn68PnBw7cBaZiIiIqAlislwDqVSKtBs3ERMXh8TLV1BRUVFtf3NzM/j5+MDbyxMtTE01FCURERERqQOTZSUKC4uQcOE8YmLjkZWdXW1fsVgMDzc3+Pn6wLGDA0QikYaiJCIiIiJ1YrL8GKlUiuupaYiNi0filSuQSCTV9rdo1Qq+Pt7w9vSEqamJhqIkIiIiIk1hsgygoKAQ8efPIyYuDg8e5FTbV0dHBx7ubvDz8UEHB3vOIhMRERE9wZptsiyVSnHteipiYuNwJTm5xlnk1hYW8PP1gbdnFxgbG2soSiIiIiLSpmaXLOfn5yMu4Txi4+ORk5NbbV8dHR106ugBPx8f2Ldvx1lkIiIiomamWSTLEokEKdevIyY2DknJVyGVSqvtb2VpCT9fH3h16QwjIyMNRUlEREREjc0TnSzn5eUhNj4BcfEJyM3Lq7avrq4uOnfqCD8fb7Rr25azyERERET05CXLEokEySkpiImNw9WUazXOIttYW8HPxweeXTrD0NBQQ1ESERERUVPwxCTLObm5iI2LR1zCeeTn51fbV09PD106dYSfrw/a2NlxFpmIiIiIFGrSyXJFRQWSr15FTFw8rqZcq7G/rY0Nuvr6oEvnTjAwMNBAhERERETUlDXJZPlBTk7lLHJ8AgoKC6vtq6+vjy6dOv07i2yroQiJiIiI6EnQZJLliooKXElKRkxcHK5dT62xfxs7O/j5+qBLp47Q19dXf4BERERE9MRp9MlyVnY2YuPiEZ9wHoVFRdX2NTAwgGfnzvDz9YatjY2GIiQiIiKiJ1WjTJbLy8tx+UoSYuLikZqWVmP/dm3bws/XG508PDiLTEREREQq06iS5cysLMT8O4tcXFxcbV9DQwN4dekCPx8fWFtbaShCIiIiImpOtJ4sl5eXI/HyFZyLjcONmzdr7G/fvh38fHzQ0cMdenp6GoiQiIiIiJorrSXL9zMyKtcin7+AkpKSavsaGRnCy9MTfj7esLK01FCERERERNTcaTRZLisrw6XEy4iJi8fNW7dq7O9gb4+uvj7wcHeDrq7WJ8GJiIiIqJnRSAZ67/59xMTGIeHCRTx8+LDavsZGRvD29oKftzdat7bQRHhERERERAqpLVkuLS3FxcRExMTG43Z6eo39HTt0gJ+PN9zdXDmLTERERESNgsqz0jt37yImNh7nL15EaWlptX1NTEzg4+UJXx9vWLRqpepQiIiIiIgaRCXJ8sOHD3HhUiJiYuNw5+7dGvs7OznCz8cHbq4u0NHRUUUIREREREQq16BkuaysDIcjIhETF4+ysrJq+5qamsLX2wu+3l4wNzdvyNMSEREREWlEg5Llw5FRiD5zVun9IpEILs5O8PPxhquLC8RicUOejoiIiIhIoxqULN+/n6H0vrCQYPj7+cLMzKwhT0FEREREpDUNmur18fJUet/lK0nIfpDTkIcnIiIiItKqBiXLnl06Y+wzT6Fly5Zy92VlZ2P9b5vw185dKCwsasjTEBERERFphUgqlUob+iClpaWIOHoM0afPQNHDGRkZom+vXvDx9oJIJGro0xGp3U8//YQvv/wSmZmZkEgkeO+99/D1119Xe8zChQvx/vvvo7i4GLq6upgwYQJWrVol6HP27Fk888wzSEtLg1QqhYGBAVasWIHx48fXKb7T1ewVUOT1ma8hPj4eJSUlEIlEsLCwwEcffYSQ0DClx/z004/YumWL7HL0+vr6GDxkKObOnSvrc/XqVbz7zhykp6dDIpHAzMwMX3z5JYKCgusUX13VZzyPmz9/PrZs/gOtW7fGP3v2KuwzdswYpKZeR3iPHpg3b74qw5dT3/HMmfM2Thw/jvLycojFYri4uGLJ0qWyCYyG/p0a23hCQ4JRUVEhd5yTszM2bfpdLWMBgJdmzEBsbIygTVdXF8dPnKzxWGXn2lOjR+FWlSvZmpmZYf+Bg6oJuhp1Hc//vvwCf//9t1x79OkzAICSkhK88vJLSE5ORmlpKcRiMWxt7fD1N9/Aw8ND9QOooq7j6dO7FwoKCuTazVu1wr59+7U+HgBIvHQJc+e+h7t370IqlUJfXx9z576PwUOGKOy/dcsWLFmyGMXFxZBKpdDV1UVoaBjmzVf82TXr9Zk4deoUXN3csGHDRnUOBUDdx/O4P//ciu++/Rb6+vo4euy4rF1Vn2+BAf419lFJ6Th9fX3079MbXl06Y9eevUhPvyO4v7i4BDv/2YO4hPMYMmgArK2sVPG0RGrz4MEDuLq6YuLEifjuu+9q7B8VFYXZs2eja9eu+PTTT/HLL79g9erVcHR0xAcffAAAuH79OoKDg+Ho6IjVq1fD2dkZx48fR7t27dQ9HFy+fBn9+/dHt27dUVpWhvnz5+HNN9/E7n/2wMJC8ZUyLS0t8cwzY+Dj4wNDI0Ns3rwZf23fBlsbG0yaPBkSiQRTp0yGWCzGBx9+iNYWFli4cCHemDWr2sfV1ngeiYuNxZ9bt8DExERpn8U//YT09Nsa25Rcn/HM++5bREVG4umnn0a/fv0RFxeH5cuX4bVXX8Gv6zfU+3Eb83g2/rYJ5Y9VXjp56iSWLF6M4cOHq20sj+jp6WHt2nWy2/oGBjUeU9O5Zm5ujsWLl8huG1dzTqpafcbzeFIleuy9kZOTg5s3b2L06NEIDg7GvfsZWLjgB8yYPg2RUUdVGrcydRnPul9+RUlxsex2eno63nlnDsK7dweg/fHcvn0bU6ZMhp2dHT748CO0a9sW8fHxsLaxVnpMi5YtMXjIEAQGBMLMzAx79+3F9m3b8MnHH+Gzz78Q9N21ayfOnDkDfX19dQ8FQP3G88idO3fw/fz5MDMzQ/Fjrxmg2c83lV6UxNbGBpPHj8O52DgcjoiUu7T1zVu3sGL1WoQEByE8LBR6enqqfHoilfn444/x8ccfA0CtkuU5c+bAwMAAZ89WzvgOHToU9vb2WLBggSxZfu6552BiYoLk5GTZceHh4WqIXl7V2SoXFxc8O3YMDh7YjzFjn1V4zHPPPS+47e8fgPDu3XDy5AlMmjwZp6OjUVxcjO++m4cePXsCAAICg9AtLBQ//bgIn3z6mVrGAtRvPEDlr2CzZ7+BQYMGIT4+Xu7DF6icAdm4cQO++eZbzJ37nspjV6Q+44mNjUWLFi0w5513AQA+vr44cuQwbty40aDHVQV1jcfR0VFwzGeffwYdHR2MVeNYHhGJRHB1c6t1/9qcazo6OnV6TFWq63gAKO1va2uLAwcPCdp0dXXwxeef4/z5BHh6etU7ztqqy3jat28vuL1i5QoAwMuvvApA++P56MMPYGhoiD+3bZe1+fr5VXvMgAEDMGDAANltH19fHI2KQkJCgqBfVmYmvv7qK7z08sv4Zd06lcatTH3G88iM6dPQpUsXiMU6uHjxguA+TX6+qXzaRCwWI6CrH16ZMQ2dO3aUu18ikeD4iZP4eeUqXE25puqnJ9KKy5cvo2OV871v377IysqS3Y6NjYWzszPatWsHsVgMY2PjOi+/UJWMjMpKNtY2NrXqL5FIsGH9r3j48CHCunUDABT9++VvYvrfbJiuri5EIpHcB7S61XY8r898DUZGxvj4k08V3l9eXo6ZM19D9/Bw2T8AtKE24/H19UV+fj527twJADh37ixSUlLQpYvyjdd1fd1VRR3jKSoqwtXkZHTt6q+RXwBKS0sREhyE0JBgjBwxHOfPV3+O13SuAUBWVhaCgwIRFhqCZ8eOwc3H/mGgbnUdDwCEBAchJDgIgwYNRGRERLV9s7OzAQDW1po51+oznkdOnTwJBweHamcjNTmepKQktG3bDkOHDEFwUCDCu3fDp598XKfH2LdvH7KysuDj4yNonzZtKpycnDF+/AQVRly9+o7niy8+R25uLn78aXGtnkedn28qv9z1Iy1MTfHUqBHw9vbEP3v3IScnV3B/Tk4ufvtjMzp19MCAfn3RwtRUXaEQqV1xcTGsrYU/KTk4OACo/JC1sLBAaWkpYmNjERISgnnz5mH37t1Yv349DAwMsHLlSo3FWl5ejo8/+hDGxsbo2bNXtX3v3r2LEcOHyW4PGToMEyZMBACEhoZCLBbjs08/xbLlK9CqVSu8P/c9SCQS5Ofnq3MIArUdz9YtWxAfH4/f/9istM+bs9+ASCTCN998q45Qa6W245nzzrvIzMrCl198ji+/+BxA5czrT4sVf7HU5XVXJXWNZ/mynyGVSvHqa6+pJe7HBQT4w8PDA55eXriRloZff/0F06dNw987d8FKwbLC2pxrIaFhMDExhru7BxIvXcKmTb/hxRdfwIGDh9T+83hdx9O5c2eIxWL4BwQgKysL69auxTvvzMGatevQuXNnuf55eXlYtXIl7OzsYKOBf5jVdTyP27lzJ0pLSzGumuRR0+MpKytDUtIVeHp6Yubrr+PE8WPYs2cP9PX18f4HH1Z7bEhwECQSCQDA399f8Avf/PnzkZGRgXW//KrW+Kuqz3iio09h965dWLhwEQwNDWt8DnV/vqktWX7ExckJL0+biqjjJ3DyVLTsRXzkUuJlpFy7jt49wtHVz5cXLqEnmqmpKU6cOAGgclnG+fPn8fvvv2s0WX7xheeRl5eHlatW19jX0tISPy1egtzcHOzduxe7d+2Eq6sLnnvueRgaGuLjjz/BV1/9D6NHjQRQuUFJ01forM14MjIy8MMP32Pq1Kmyf8RUteeff3D69Gms++VXrX4O1fb12bTpN0RGRGDw4MHoHt4Dly5exMaNG/DqKy9jydKf6/24qqau8ezZswetWrXSyIarKVOnCW4PHDQII0cMx89Ll8jNHNfmXAOAt99+W/b/vXv3RnBIMF55+WVs/uN3vDhOvb841WU8ADBy1GiMHPXY7ZGj0LtXTyxauAArVgo3MZeUlGDsmGcAAMtXaOZzra7jedyG9b9CX18fw4YNU3i/NsYDAMbGxli1eg2AyiUWV6+mYP/+/TUmy0uX/owHOTmIiozA3r17MW/ed5gz5x1cuHAeW7dsxv+++lphBTN1q8t4SktL8c6cOejXrz+CQ0Jq9fjq/nxTe7IMVC6879OzBzw7d8LuPftws8oO4IcPH2LP/gOIv3ABQwcNhK2GfyIkaigjIyPcv39f0JaWlgYAsp/2dHR00KZNG0GfTp064cIF4TosdXr+uWeRlpaGpUt/VjgjVJWuri4CAwMBAP369cczTz+FtWvWyNYzDxo8GIMGD8bdu3dRXFwMR0dH9OwRDrsq41SX2o4nLi4WFRUVWLFiBVasWCG4LygwAEuWLsXhI4chlUoxYfw4wf1RkZEIDQnGiZOn1DKGx9Xl9Vm5YgU8PDxkM0e9e/dGQWEBtv+fvfsOa+p6Azj+TRgibhQQRREnzhZlu7UORKmjrXXiqKPW3dZRZ6391Var2Lq3onXvWvdAcWudrYpbq6ICCiIgQvL7g5IaCMjIUHw/z9Pnac49ub5vcnPzcnLuuRs2kJiYiLn5f6f3rL7v+mKofM6dO0dUVJTmVw5jc3BwwMrKSvMZf1VmjjU3N/c0z6tVyw2FQkFo6NU02wwto3x0sbKywsamKGEPH2q1x8fH07ZNG2JiYvjtt5VGGYXVJbP5REZGcuvWrXSnXJkqH6VSSbFixbTanJ2duXHj+mufmzIXuFGjRoSHh7Np40a+/noYwQeCUavVfJPqOoyroaF4erhzKOSwwX7RyGo+ERERxMfHs2vXTnbt2qm1zdPDnYEDB9Gpc2dNmzHOb0YpllPY2drSrUsnzp47z579+4mLi9fafv/+A+YvWoKnuxsN6tU12pWaQuSUi4sL586d02rbt28fRYsW1Tx2dHQkLCxMq8+VK1ewtrY2eHwqlYrOnTpy8+ZNAqdPz/TFFamp1WqdS3cVL14cSP7pLC4ujmZNm6Xpo09ZzcfT04sfU12o+dOPP5KQkMDoMWOoUqUqAwcMxC/VMkYjR4ygcuXK9OqlPXKlb9l5f1KWV3uVmZmZZn/Z3a8+GCqfFLNnzUKhUNCjZ0/9BZ0FEeHhxMfHU0zHT/yZOdZ0+euvv1Cr1TiUcDBIzBnJKB9dEhISePIkknLlymnaUgrL6OgogpavoFTp0oYK97Uym8/sWckrkQzoPyDNNlPmY2dnp3W9CyQPvmRmOsKrVCqVZjnfT9q3p2o17WNv3Nix2NjYMGjwYIPWW1nNx9bWNs1naO6cOdy5c4fv//c/atR4DzDu+c2oxTIkX7Hq+v57VKxQgd379nH+gvaomlqt5tiJk/x9+Qq+TT+gkomuFBbvtrCwMIKDgzWPL126xOrVqyldujTe3t54e3vz6NEjrl9P/st48uTJ1K9fHw8PD8aPH8+yZcu4ffs2EydO1Ozj22+/pVu3bjRt2pThw4ezYcMGzpw5w+eff27wfDp17MCNGzcYMnQoNkVsuBoaCiRfCJFyS/o2rVtjY1OEhYsWA8kXKNVyc6NatWrExcaxcdNG7t69S4sWLTT7DZw2Dfvi9lSsWJHjx46zfHkQxWxt6da9+xuVT8GCBdPMY/v1l18ANO3WpUun+UJUKBQULVbM4OsSZ+f9qVKlKmfO/MmUKVNo3KgR5y+cZ+OGDdjb22u++DKz37cpH0guqs+dO0uVKlWyXDxkV0BAV3x9fXGp5MKNmzc0xXrfvp+nySUzx1pEeDhffjmU1m3aUsbJiYsXLzBv3jzMzc3pYuApGFnNB6Df533x8PCkeo3qPH4czqxZM0lMTOSzXr2B5MKyTZvWPH3yhAnfTSTx5UvNe17S0dHgAwJZzSfF3r17sbe3T/O5N3U+vXr35rsJExjQvz9dunYl+MB+QkOv0K5dO02fnj26Exn5hI2bNgHwzcgRlHZywtXVFYCdO3Zw+vRpTWFpa2ub5rg0NzcnX/78Br+GIav5mJubp4lp1cpVKJX/aLUb8/xm9GI5Rb581rRu1ZL3qidfABjx75WmKaKjo1m9bgOVKlagedMmFDLBHBvx7lq1ahVDhgzRPN68eTObN2+mXLlyXLt2jcePH2v9pVyvXj2mTZvGN998g5+fH+bm5vTs2VOzbBxAQEAA169f56effmL37t1YWlrSpUsXZs2aZfB8btxIXnlm2tSpWu3+/v6MGj0GgOjoKJTK/24aFBcXz7y5c0lMTASS55y1b9+eoV/+N9fyQdgDVq9ehUqlQqlUUr16dQKn/2LodLKVz5ssO/kETp/OkMGD2bB+HWvXrEapVFLG2ZmpU6dlab+GYKh8AJYHBaFSqejdu4/B4k/tSWQk0wMDNce5ra0tP0yapFnKLqvHmrmFBffv32fSD/9DrVZjZmaGo6Mj//thEvmNcLF7VvN59iyGuXPnoFKpUCgUFCpcmAnfTdQsfXn50iUi/z0fjh71jda/NXjIkDTLUJo6H4CjRw7z/PlzArp1S7M/U+fTsmUr7t+7R1BQECdOHMfCwgJfX1+GDf9vCsXTp0+Jjv5v4QSVSs3yoCAWL0qeF5wnTx6aNGnK+G8Nt4RnZmUnn8ww5vlNL3fwy6nExEQOHz1GyJGjOn/itbCwoEG9uni6G2eJICHedFm9g58QQggh0srMHfzeiGI5RURkJH/s2MnNW7on5Re3t8PPtzkljXTxkBBvKimWhRBCiJx764plSJ6zfPGvv9m1Zy/PY2N19nGrWZNGDeoZbb6aEG8aKZaFEEKInHsri+UUcXHx7N1/gD/PntW5PX++fDRr8gFVKrugULwd8xKF0BcploUQQoice6uL5RR37v7DHzt28ujf2ximVq5sWVo0a0qRIoWNG5gQJiTFshBCCJFzuaJYBkhKSuLYiZMEHwrRXJn/KnNzc+rW9sHHy1OzLqcQuZkUy0IIIUTO5ZpiOcWTp0/ZvnM3167rvuuLbbFi+Pk2o3SpUkaOTAjjkmJZCCGEyLlcVyxD8gWAly5fYefuPTyLidHZx/W9GjRu2BBr67xGjk4I45BiWQghhMi5XFksp3jx4gX7gw9y4tRpndut8+alyQeNqFGtmlwAKHIdKZaFEEKInMvVxXKK+w8esG37Dh6EPdS5vYxTaVo0b0axokWNHJkQhiPFshBCCJFz70SxDKBSqTh56jT7Dx4iISEhzXYzMzNqe3tRx8cbc3OT3eFbCL2RYlkIIYTIuXemWE4RHR3Njt17uHwlVOd2G5sitGjWjLLOZYwbmBB6JsWyEEIIkXPvXLGcIvTqNbbv3EVUdLTO7dWrVqXpB43Ily+fkSMTQj+kWBZCCCFy7p0tlgESEhIIPhTCsRMn0ZWilVUeGjdsSM3335MLAMVbR4plIYQQIufe6WI5RdjDh2zbsZN79+7r3O7oWBK/5s2wt7MzcmRCZJ8Uy0IIIUTOSbH8L7VazekzZ9m7/wAvXrxIs12pVOLl6UH9OrWxsLAwQYRCZI0Uy0IIIUTOSbGcSkxMDLv27OPi33/r3F64UCF8mzWlQvlyRo5MiKyRYlkIIYTIOSmW03H9xk3+2LmTJ0+e6txe2aUSzZt8QIECBYwbmBCZJMWyEEIIkXNSLGfg5cuXhBw5yuGjx1CpVGm2W1pa0qh+Pdxq1USpVJogQiHSJ8WyEEIIkXNSLGfC4/Bwtm3fyZ27d3VuL+FQHD/f5jgUL27kyIRInxTLQgghRM5JsZxJarWacxcusHvvfuLi4tJsVygUeLjVokG9uuTJk8cEEQqhTYplIYQQIuekWM6i2NhY9uzbz9nzF3RuL1CgAM2bfIBLpYqyNrMwKSmWhRBCiJyTYjmbbt2+wx87dhIeEaFze4Xy5fBt1pTChQoZOTIhkkmxLIQQQuScFMs5kJiYyJFjxzl0+AhJSUlptltYWFC/bh083d0wMzMzQYTiXSbFshBCCJFzUizrQWTkE/7YuZMbN2/p3G5vZ4ufb3McS5Y0bmDinSbFshBCCJFzUizriVqt5q+/L7Fzz16eP3+us08tV1caN6yPlZWVkaMT7yIploUQQoick2JZz+Lj49m7P5jTZ87o3J4vXz6afdCYqlUqywWAwqCkWBZCCCFyToplA/nn3j22bd/Bw0ePdW4v61yGFs2aYWNTxMiRiXeFFMtCCCFEzkmxbEBJSUkcP3mK4EMhvHz5Ms12MzMz6tb2wcfLE3NzcxNEKHIzKZaFEEKInJNi2QieRkWxfecurl67rnN7saJFadG8GWWcShs5MpGbSbEshBBC5JwUy0aiVqu5fCWUHbv38OzZM5193qtRnSaNGmJtbW3k6ERuJMWyEEIIkXNSLBvZixcvOHDwECdOnUbXy5o3b16aNGrIezWqywWAIkekWBZCCCFyToplE7n/IIxt23fwICxM5/bSpUrh59sM22LFjByZyC2kWBZCCCFyToplE1KpVJw6/Sf7gg+SkJCQZrtSqaS2txd1fLyxsLAwQYTibSbFshBCCJFzUiy/AaKfPWPn7j1cunxF5/YiRQrTonkzyjk7Gzky8TaTYlkIIYTIOSmW3yCh166xfecuoqKidW6vVqUKTT9oRP78+Y0cmXgbSbEshBBC5JwUy2+YhIQEDoYc5tiJk6hUqjTb8+TJQ+OGDajl+r5cACgyJMWyEEIIkXNSLL+hHj56xLbtO/nn3j2d20uWLEFL3+bY29kZOTLxtpBiWQghhMg5KZbfYGq1mj/PnmPv/v3Ex79Is12hUODl4U79unWwtLQ0QYTiTSbFshBCCJFzUiy/BWJinrN77z4u/PWXzu2FChakebMmVKpQwciRiTeZFMtCCCFEzkmx/Ba5cfMWf+zYSeSTJzq3u1SsSPOmH1CwYEEjRybeRFIsCyGEEDknxfJbJjExkZAjRzl89BhJSUlptltaWtKgXl083GqhVCpNEKF4U0ixLIQQQuScFMtvqfDwCLbt2MntO3d0bncobo+fb3NKODgYObJ3x6+//srEiRMJDw9HpVIxYsQIfvjhh3T7Dxs2jIULF/LkyRPUajX58+dnxIgRjBo1StOnWbNmhISEEBsbi0KhwN7enkWLFuHr65vl+LJaLI8eNYrg4AOaG+TkzZuXLl260POzXjr7Bx84wE+Tf+JJZCRJSUnUq1+fyZOnpOl36e+/GTlyBGFhYajVaiwtLRk58hta+PllOaesGDigP+fOnSM+Ph6FQoGNjQ1jxozB26d2hs978OABQ4cO4eaNG6jVaszNzenWvQe9evXK0X5zKqvvz/hxYzl48CDPnz8HoGDBggwcNJhWrVpp+vTt04cLF86TmJio6TNgwED8P/zQoLlA1vMBCJw2jbVr15CYmIilpSVdA7pp3pcUIYcO8f33E4mMjATAysqKGTNnUr16DcMl86+sHuu//voLWzZv5tmzZ6jVavLmzUtAQDe69+ih6fP48WOGDBnM9WvXUKlUWFtb8+VXX9GyZSud+9SXvn36cObMn1pt5ubmHD5yVGf/xo0aEhMTk6a9cJEi7Ny5i/j4ePp93perV6+SkJCAUqmkeHEHfpg0CRcXF4PkkFp2zkUrV/7G7FmzePHiBWZmZvj5+TFq9BjNdlOdD7Kbz08/TmLr1q0kJCSgUChwdHRk2rRASpUuDWTuvPEm5RMTE8OQwYO4ePEiKpUKMzMzmvu2YOzYsZo+rzunZ0ZmimXzTO9NGE2xYkXp2qkD5y9eZPeefcTGxWltfxD2kAWLl1KvTm0a1KtroihztydPnlChQgW6devGTz/99Nr+u3fvxtPTk/bt21OiRAnGjRvH6NGjKVu2LB06dADg9OnTdOjQgVatWvHixQv69+9Pq1atuH//PnYGXvnEsZQjXQO6UaNGddQqNQsXLmDevHmUL1+B+g0apOn/LOYZtsWK0bBhI9atXaNzn/fu3aNnzx44ODgwavQYHEuW5Ny5c9jZG34Vl8uXL9O0aVPq1KlLwsuXTJkymaFDh7Ltj+3Y2NjofE5sbCyftv8Eq7x5+XrYMMqVLcflK5cpWrRYjvarD1l9f86ePYu3jw8NGjTA2jofU3+ewsTvJlC+XDkqV6kCQLlyZfGp7UPVqlWJeRbDjBm/8v33E6leowbOBr4JUlbz2bBhPStX/oZP7dq0a9uOZcuWsmD+PCpUKE+DBg0BOHXqJF999SWVK1dm8JChFC1qw8mTJ8mXz/Br02fnWD9+/DjVqlWj8QcfYGtry/x585gzZzYlSpakWbNmAPTs0Z3IyEiGDBlCGeeyLFq4kO8mTKBc2f/eR0OxsLBg8eIlmseWefKk23fJ0mXEv/I9dP/+fYYN+5p6dZO/f54+fcrdu3dp27YtXl5ePHz0mMBpU+nTuxfBBw8ZLIcU2Xl/zvz5J4HTpuHi4kKvXr3Ztm0bW7ZsoUSJkpo/aEx1PshOPuvXr2P9+vU0aNiQT9t/yvXr1wkMnEbfvn3Y9sd2IHPnjTclH4CPP/6IuNhYPu/XjxrVa3Dr1k2SXll2NzPndH2RkeU3XGxsHHv27+fsufM6t3/WvRslHIobOap3i0KheO3Isi5WVlb4+Piwb98+ndsvXbpElSpV+OWXXxgwYECW9q2PaRieHu74+fkxdtz4DPv5eHtRu06dNCPLPbp349atW+zbfyDHseTUzZs3+bT9J3z55Zd80v5TnX3GjB7N3r172Lf/AFZWVnrbr6Fk9v2B5DXc69apTevWrRn5zSidfR4+fIh/q5YMGDCAzl266jna18soH/9WLUlISGDHzl2atgb162FvX5zVa9Zo+piZmbFx02Zjhayhr2O9Tm0fatSowazZc4iKiqJpkw/o+dln9O7dR9OnXt06VKrkwvwFC3IYdfr69unDX39d5FDI4Ww9/+uvv+JgcDDbd+xMt2j8/fetfDdhAgsWLjT4yH923p8e3bsRGhpKyOEjmjb/Vi2Jj49n1+49Op9jrPNBdvIZOnQIx44e5cjRY5q2EcOHExx8gKPHjut8TmbOG/qQnXwWLVrI3DlzWLd+A6VKldLZJzvndF0yM7IsE1/fcNbWefH3a0FA504UK1o0zfY7d3VP1RCmlZiYSGJiIkV1vGcp7t+/D4Cjo6OxwgKST5BTpiQXvg0aNsr2fkJDQylZ0pGWfn54eXpQr24dxo8b+/onGsDjx48BsLO3T7fPiRPHsbOzo2uXznh5elCntg8D+vfXTBXI7n71LTvvT1RUFEC6x1tsbCw//jgJgLr16ushyszLTD6PHz+meg3tgsrFxYX795PXok9MTOThw4eUKFGCpk0+wMvTgwb16zFzxgzDBv8vfRzriYmJJCUlUahQYQDNcWedN69WPzMzM27cuK6XuDOSkJCAt5cnPt5etP7QnwsXdA/I6HLs6FGcnJwyHF1NmSpjZ2f4z0523p9bt25RJtUvLO4eHprPki7GOh9kJ5/atWuTlJTE/PnzUalUXLt2jZMnT6RbaMLrzxv6kp18du/aRcGCBRk3dgzeXp7U9vEmIKCr1vuTnXN6dkmx/JZwKl2KPp/1oEL5clrtDx8+MlFEIiP+/v6oVCrGjx+vc3tiYiIdO3akQIECtGnTxigx7du3D08Pd+rWqc3aNav5rFdv6tWrl+39vXz5ktDQKxQvbs+3E76jYcOGbN++nf99P1GPUb9eYmIiY8eMxtraWvOTvS4xMTE8ePAAlUrNuHHjadu2LSdPnmDQwIE52q++5OT9GTigP2ZmZnzaoaNW+7y5c/D0cKdhg/ocPXKEMWPH4uTkZIjw08hKPiqVKs1UpKLFivHy5UsAbt64AcCpU6d47733+W7iRN577z2WLVvKqlUrDZsI+jnWv/7qS1QqFb169wbA1tYWa2trFi9ezOXLl0lISGDSpB+IjY0lPj7eUKkA4O7uRocOHZn4/f/o1as3UVFR9O7VS1MMZiRlTmyXrgHp9omOjmbB/Pk4ODhgb4Q/NLPz/rx48QKbIkW02ooXT74OSFfBbMzzQXbyadfuIzp06MiC+fPw9vKkU8cOWFpasixoebrPSe+8oW/ZySciIoLo6Gju37/PN6NG0617D66GhtKjezdNn6ye03NC5iy/RczMzCjr7MzVa/+NOjx8JMXym+aLL75g+/bt/Pjjj1StWlVnn/fee4+IiAiOHtV9QY0heHl58euMmUSEh7Nu3VoWLphPpUqVclQwW1tbs2DhIiD5AsZr166za9cuvhk1Wl9hv1bnTh2Jjo5m/oKFr+2rVCr5beVKLC0t8W3Rgvv3HxASontOZVb2qw/ZfX8GDRzAjRs3+N8Pk9IsLfnRx5/wvmtN7t+/z/KgIP73/fdUqVKVsmXLGjIVQL/HW8o8xeLFizP531HqJk2a4tu8Gb/99hufftpBr7HrkpNjffJPP3LkyBG+6N9f67WfPGUKw4cNI6BrFyB56paDgwPh4eGGSeJfqS+0bO7rS+sP/Zk9a+Zrp/0sD1qGpaVluheFxcfH0/6TjwGYO2++XuLNDEOfi4x9PshqPgcPHmT16lX41K5Ny5atuHP7NosWLaRzp06sW78+Tf+MzhuGkNV8UmYIL1m6jOLFk6eaxsfHsTwoiKioKAoVKgRk7ZyeEzKy/Jaxt7PVevw4PELnMnPCNAYOHMisWbMYN24cw4YN09mnRo0aXLlyhX379uHu7m602KytrfHw8MC3RQsWLlpMgQIFmDnj12zvT6lUUqyY9oUUzs7OvHiR9o6UhtKxw6fcvn2bmTNnpfuHSQorKyvy58+vdUfMypVdUKvVxMbGZnu/+pKd92fo0CEcO3aMcePG07hx4zTbbWxs8PDwoHXr1qxbvx6FQkHgtKmGSkFLVvJRKpU8SvWHf0R4OBYWFgCU/vdq/tQ/KTs4OPAsOtoA0aeNL7vH+pQpU1i3bh09P/uMrqlGY93c3Nm7bz/bd+wkaPkKgg8eQqVSkS+/4S9afJWDgwNWVlbcvn07w36RkZHcunULbx8fndvj4+Np26YNMTExrFjxm1FGlSF770+ePHnS3NcgLOwBgKYQS2Hs80F28pk29WeKFi3GtGmBNG7cmO49ejBo0GDu3r1DaGioVt/XnTf0LTv5FChQADMzM02hDOD6visAly9fArJ2Ts8pKZbfMvap5n8lJSURERFpomjEqwYMGMCvv/7KyJEjdU6/UKlU1KhRg7/++ovt27fnaERXH9RqtWZZseyws7MjIiJCq+327ds5utAis1QqFR07fMrNmzcJnD4d15o1X/scZ2dnnj9/rpXzldBQlEol1tbW2d6vobzu/RkyeBCHQ0IY+c2oTC/Vp1arSUh4qa8QsySjfGxtbblwXnvO7JUrVyhRoiSQXHhbW1tz7949rT5hYQ+NMiqW3WN98uSfWLtmNQEB3bQu4kvNxsaGihUrcu/ePR4+fIiXp6de4s6siPBw4uPjKWZrm2G/2bNmAjCgf9oLklMK5ejoKJYFLdcsV2YM2Xl/ypQpw+1bt7TaTp08qVUom+p8kJ18El6+RKlUaLWZm5sByXmkyM55I6eyk0/16tWT65tXfmU5/+85wsWlMpC5c7q+SLH8lsmb1yrNl4NMxdC/sLAwVq9ezerVq4HklStWr16tmTbh7e1NuXL/zR//4osvmDFjBu3bt+fTTz/l/PnznD9/njuvrJVdo0YNLly4wNSpU7G3t9f0SbkQxpB69ujOmtWrOHvmDPv27aNnj+48e/ZMs+Zum9at6dmju6Z/bGwsu3fvYvfuXajVah4/esTu3bs4ceKEpk+v3r15/vw5A/r358SJE0z+6UdCQ69ka93orOrUsQPXr19n0ODB2BSx4WpoKFdDQ7XmGqbOafCQISQlJRHQtQvHjh5l3ry5HAwOplYttyzt1xCy+v4MHjSQI0eO0KlTZ6pWqaKJM+WLJTIyks969mDTpk2cO3eO7X/8wUft2pKUlKRZyvBNyqdb9+48efKEL78cyuHDh+nbpw+xsbF83u9zTZ927T7i/v37jB83lhMnTjByxAgiIsLpYoSVPTJzrPfs0Z02rVtrHk/+6UfWrV3LB02a0KRJE817FBYWpumzeNEiFi1ayJk//2Tp0iV82v4T8ubNa9CVCQACArqyatVKzp45w4YN6/n00/YoFAr69k1+vVO/Pyn27t2Lvb19mkI4Pj6eNm1a8+RJJOPGf0viy5eafPU9wqdLdt6fAQMGkpCQQPduARw+fJhRo74hLCyMDq/M3zXV+SA7+fh4e/Pw4UNGjxrF6dOnWL9+HdOmTSNv3ryata5fd954k/IZOHAQSqWSgIAADh48yJrVq1ixYjlOTk6aP2gyc07XF1k67i20cs1arXnLPl6efNDI8BcgvUsCAwMZMmRImvZy5cpx7do1ypcvT3h4OE+fPgWgcOHCOk+gKf0heQk6XXr27MmCLC4TldWl4z5q14779++RlJSEQqGgQIECdO7ShYCAbkDyTQcKFy7M+g0bATh75gx9+vROs5/8+fOzd99+zeN5c+cQFBREQkICFhYWfPDBB4z/dkKWYssOTw/d01f8/f01NxVInRPApo0bCAwMJC4uDjMzM2rVcuPnqVM1P+NlZr+GkNX3x8fbS+f0K1fXmsyZO5fo6Gg6fNqeyMhIVCoVSqWSwkWK8MUXXxj8hhfZyQe0b0piYWFBQLfuaW4sMGHCBHbu2K65cUmHDh3p98UXBs8HXn+st2vbhqdPn2o+H+ndyMPR0VGT97SpP7N27VrN61S2bFmmTgvU+unZEPxbteTx48eaY8PW1pax48bh5uauiT31+3P0yGEGDx5Mvy++0LyPKdI7X0ByQdPBwBeQQdbfH3j9TUlMdT6A7OUzYvhwQkIO8fLlS5RKJfb29vzwwyTNGsqvO2+8afkcPnyY8ePGEh0djVKppGLFivzy6wyt0f/XndMzQ+7gl0vtOxBMyCt3WipX1plOn7Y3YUTC2OR210IIIUTOyTrLuZR9qiWWZPk4IYQQQgjDkGL5LZS6WI55/lxzr3chhBBCCKE/Uiy/hWxsimBurr1E9sNHr19MXgghhBBCZI0Uy28hpVKJXaolfh4+emiiaIQQQgghci8plt9SqW9OIiPLQgghhBD6J8XyW0ou8hNCCCGEMDwplt9S9vbaxfLj8HC57bUQQgghhJ5JsfyWsrPVLpZVKhXhqW4nKYQQQgghckaK5bdU3rxWFJLbXgshhBBCGJQUy2+x1FMxZN6yEEIIIYR+SbH8Fks9FUNWxBBCCCGE0C8plt9ixVOPLMs0DCGEEEIIvZJi+S2Wevm458+fExMjt70WQgghhNAXKZbfYkWKFE572+vHMroshBBCCKEvUiy/xZRKJXap7+QnF/kJIYQQQuiNFMtvueKp7+Qn85aFEEIIIfRGiuW3XOp5y4+kWBZCCCGE0Bsplt9ydnapb3sdIbe9FkIIIYTQEymW33L2qeYsq1QqHoeHmygaIYQQQojcRYrlt5yVlRWFCxXSanskNycRQgghhNALKZZzgdQrYoTJvGUhhBBCCL2QYjkXSH2RnywfJ4QQQgihH1Is5wKpb3stK2IIIYQQQuiHFMu5QOoVMZ7HxhITE2OiaIQQQgghcg8plnMBmyJFsLCw0GqTectCCCGEEDknxXIuoFAo0lzkJytiCCGEEELknBTLuYS9rVzkJ4QQQgihb1Is5xL2qS7yeyjTMIQQQgghckyK5Vwi9fJx4RERJCYmmigaIYQQQojcQYrlXELXba/DIyJMFI0QQgghRO4gxXIukSdPHgoX1r7ttcxbFkIIIYTIGSmWc5E0d/KTectCCCGEEDkixXIuIsWyEEIIIYR+SbGci6Qplh8+Qq1WmygaIYQQQoi3nxTLuUjq5eNi4+KIef7cRNEIIYQQQrz9pFjORYoULoylpaVWm1zkJ4QQQgiRfVIs5yIKhQI7W+0l5GTeshBCCCFE9kmxnMvIRX5CCCGEEPojxXIuk/rmJDINQwghhBAi+6RYzmVSX+Qnt70WQgghhMg+KZZzmdRzltVqNY/Dw00UjRBCCCHE283c1AEI/cqTJw9FChfmydOnmraHjx7hULy46YJ6C/36669MnDiR8PBwVCoVI0aM4IcffsjUc2fPnk2/fv2wsrIiLi5O025ubk5SUlKa/tWqVePChQt6i12X0aNGERx8gISEBADy5s1Lly5d6PlZr3Sf8+DBA4YOHcLNGzdQq9WYm5vTrXsPevVK+5xBAwdw7NgxKlSsyPLlKwyWR4qBA/pz7tw54uPjUSgU2NjYMGbMGLx9aqf7nPj4eIYOGczZs2dJSkrC0tKS7j160KNHT02fvn36cObMn1rPMzc35/CRowbLBbL+/nw/8Tu2bNmSpv34iZOa/7927RrDh33N/fv3UalUFCpUiO8mTsTT08swSbwiq/n8+usvrFu7lvj4eAAsLS1p4deSkSNHvhH5AFz6+29GjhxBWFgYarUaS0tLRo78hhZ+fuk+JyYmhiGDB3Hx4kVUKhVmZmY0923B2LFjgcwdk29SPitX/sbsWbN48eIFZmZm+Pn5MWr0GM12H28vnee4suXKsXLlKoPkkSKr+axbu5aZM2cQFxenOb/5+NRm8pQpOvsb8xyX1ddx/LixHDx4kOf/LhVbsGBBBg4aTKtWrTR9TPn5yc5xEThtGmvXriExMRFLS0u6BnTT+u6JCA9nwID+3Lx5E5VKhYWFBQ0bNuK7iRMNkoMUy7mQvZ2ddrEs85az7MmTJ1SoUIFu3brx008/Zfp5t2/fZuDAgRQtWlRz4kpx4cIFXr58qXm8Y8cOhg8fTs+ehv9idCzlSNeAbtSoUR21Ss3ChQuYN28e5ctXoH6DBmn6x8bG8mn7T7DKm5evhw2jXNlyXL5ymaJFi6Xp+/vvWzl58mSaZQsN6fLlyzRt2pQ6deqS8PIlU6ZMZujQoWz7Yzs2NjY6n9Pv875cunSJHj0/o2ZNVzZu2MjcOXMoWdKRZs2aafpZWFiwePESzWPLPHkMnU6W358Ur35pK5T//VCoUqn4rGcPlEolo0aPpqiNDYGBgQweNCjD10hfsppPsWLF+PjjT3j//fexymvFmjVr2LRxA8Xt7eneo4fJ87l37x49e/bAwcGBUaPH4FiyJOfOncMu1bS31D7++CPiYmP5vF8/alSvwa1bN0lSqTTbM3tMvgn5nPnzTwKnTcPFxYVevXqzbds2tmzZQokSJeneowcAK35bSeIr57ijx44yc8YM/P39DZZLdvMpULAgLfz88HD3oFChQuzYuYONGzYwbuwYvp3wnVZfY5/jsvo6nj17Fm8fHxo0aIC1dT6m/jyFid9NoHy5clSuUsXkn5+s5rNhw3pWrvwNn9q1ade2HcuWLWXB/HlUqFCeBg0aAvD55335559/GDhoEJVdKrNx4wZ27NhBiZIl+PzzfnrPQaGWW7zlOsGHQgg+FKJ5XMbJia6dOpgworebQqHI9Mhy6dKlcXJywszMjOPHj2uNLKfm6urKxYsXefHiBUpl1mZEnTh5Kkv9dfH0cMfPz4+x48an2TZm9Gj27t3Dvv0HsLKySncfEeHh+Pu3ok/fvixdsgSHEiWMMrKc2s2bN/m0/Sd8+eWXfNL+U519vL08adiwIf/7YZKmzc+vBRbm5mzanDxK27dPH/766yKHQg4bJe6MZPT+pIwsvzqS/KpjR48yaNBAfvppsqY4TUxMpE5tH3x9fRk3/lsDRq5bRvnoUq9uHVxcXJg3f4HJ8+nRvRu3bt1i3/4DmX7OokULmTtnDuvWb6BUqVI6+2TmmDSE7OTTo3s3QkNDCTl8RNPm36ol8fHx7Nq9R+dzOnfuxI3r1wk5fCTL57isyE4+uvi18MXS0pKNmzZr2t6Ec1xWX8eEhATq1qlN69atGfnNKJN/flJ7XT7+rVqSkJDAjp27NG0N6tfD3r44q9esAaBObR/ee+89Zs6arelTr24dKlVyYf6CBVmKx8Pd7bV9ZM5yLpRmRYxHcttrY+jRoweRkZHs3r37tX1jYmI4d+4cDRs2NOiXiC4JCQlM+fenxgYNG+nsc+LEcezs7OjapTNenh7Uqe3DgP79NT+rp+jV6zPKli1H164BBo87I48fPwbAzt4+3T5qtTpN4W9hbs6jVMsrJiQk4O3liY+3F60/9OfChfP6DzgDmXl/Unh7eeLt5Ymvb3OCDxzQtMf++0davvz5NG3m5uYoFArOn39z84HkUfHlQct48eIFtevUAUyfT2hoKCVLOtLSzw8vTw/q1a3D+HFjM3zO7l27KFiwIOPGjsHby5PaPt4EBHQlKipK0yezx6S+ZSefW7duUcbZWavN3cNDK59XxcbGcu3qVWrVcjP4OS47+aS2c+dOIiIieP/997XaTX2Oy87rmPKeFC1aNHkfb9D5IDP5PH78mOo1ami1ubi4cP/+Pc3jEiVKcPHiRS79/TcqlYrfVqzgxYsXNGnygUHilmkYuZC9nXbBEBcXx7OYGAoWKGCiiHK/3bt3s2TJErZv357hSGyKMWPGoFarmTRp0mv76su+ffsYOWK45vFnvXpTr149nX1jYmJ4+vQppUqVZty48Vy69Ddr1qxh0MCBzJ4zB4ApU6bw+PFjlixdZpT405OYmMjYMaOxtrbW/ESni729Pbt27aJZ8+bUquXGihXLefDggVYfd3c3XFxcqF6jBndu32bZsqX07tWLLVt/xzbVxbP6lpX3p2rVqiiVStzc3YmIiGDJ4sUMG/Y1ixYvoWrVqvj4+KBUKvl2/HjmzJ1HkSJF+GbkCFQqFc+ePTNoHtnJByAsLIwP/f+bY+nXshUBAd0ATJ7Py5cvCQ29QvXq1RkwcCBHDoewfft2LC0t+WbUaJ3PiYiIIDo6mvv37/PNqNGEhYWxeNFCenTvxvoNG4HMHZNvSj4vXrzApkgRrbbixR2A5OKsUKFCWtvmzpmNWq3mi/79DZPEK7KTTwpvL09U/06NcXNz0xplfRPOcdl5HQcO6I+ZmRmfdugImP7z86rM5KNSqbBLdc+IosWKaU1jXLR4CV27dKZbt//+iGndunW6vyzmlBTLuVDhwoWwtLTUGgV8+PCRFMsGkpCQQOvWrfn0008zPc8wKCgIOzs7atasaeDo/uPl5cWvM2YSER7OunVrWbhgPpUqVUq3gFEqlfy2ciWWlpb4tmjB/fsPCAk5BMDFixdYt3YN3//vBwoWLGi0HHTp3Kkj0dHRzF+wMMN+gdN/4Yt+nzNwwAAgeWSlbLly3Lh+XdMn9QVozX19af2hP7Nnzcz09IHsysr707pNW1q3eeVx6zY0atiA6YHTmDd/AVZWVowdO47//e972rZpDUChQoUoXLiwQXN4VVaPt2LFivHrjJlERT1lx44dbPt9KxUqlKdDh45vRD7W1tYsWLgIgGbNmnHt2nV27dqVbjGW8mvekqXLKP7vBdbx8XEsDwrSFJeZOSbflHyyavv27RQpUgQXFxe97O91spvPrFmzefL0KQeDD7Bjxw4mT/6Jr78e9sac47L6Og4aOIAbN27wvx8maeJ+Ez4/KfR1XIwdO4aHDx/SvUcPKlSoyJ7du9m0aRMlHR0N8iuATMPIhRQKBXY6pmIIw3jw4AGxsbGsXLkShUKBQqEgODhYs1LDzz//rNX/8OHDREREGOXCvldZW1vj4eGBb4sWLFy0mAIFCjBzxq86+1pZWZE/f36tC1oqV3ZBrVYTGxtL8IFg1Go134wcgaeHO54e7sTExHA1NBRPD/c00zUMpWOHT7l9+zYzZ86iatWqGfZ1dnbmj+072L1nL0uWLOVQyGHyWllhYWGR7nMcHBywsrLi9u3b+g49jay8P6lZWVlhY1OUsIcPNW2+LVpwKOQwm7dsZdXqNezavSd5dPDfn2YNLav5mJub4+HhQZMmTfn556mULl2axYsWababMh+lUkmxYtoXtzo7O/PixYt0n1OgQAHMzMw0hTKA6/uuAFy+fEmzj6wek/qQnXzy5MlD5JMnWm1hYcmj4KlHlc+dO0dUVBT+/h/qKeKMZSefFK41a9KoUSPGfzsBNzc3Nm1MHvV/E85xWX0dhw4dwrFjxxg3bjyNGzfW2mbq8wFkPh+lUplmKlJEeLjmcxEVFcXhkBACunWjb9/Pady4MT9MmkTp0qVZHhRkkNhlZDmXKm5nxz///De/R4plwylZsiQbNmzQahszZgxXr15l1apV1K6tvZzZqFGjUCqVmuWjTEWtVqd7wxpnZ2f+/vtvEhMTMTdPPk1cCQ1FqVRibW3NJ+3bU7WadnE6buxYbGxsGDR4sMGvGlepVHTu1JGbN28SOH06rlkYoS9YsCAFq1QhPj6ey5cvU6VKlXT7RoSHEx8fTzEDT8HQJaP3J7WEhASePImkXLlyabalFGvHjx8jLi6OZk0Nt8pCRrKST0p/XctNmSIfOzs7IiIitNpu376d4ZSr6tWrc+/ePSLCwyn6byGXMj/UxaWyVt+sHJP6kJ18ypQpw9WrV7XaTp08maZQBpg9axYKhYIeRhoQyE4+uqhUKs0vAqY+x0HWXschgwdx5MgRRn4zKsPl/0x5PshsPra2tlxINZf6ypUrlChREkCzxKRZqjnPSqXSYNdnSbGcS9mnmu9z8+Yt4uPjs3zyeFeFhYURHByseXzp0iVWr15N6dKl8fb2xtvbm0ePHnH9+nXMzc1p06aN1vOnT5/O9evX07QnJiYSEhKCu7u7Ud+Lnj2606xZMypWrETkkyesWB7Es2fP6NK1KwBtWrfGxqYICxctBmDwkCH07NGDgK5dGDBgIOcvnOdgcDBubu5A8sks9fxgc3Nz8uXPn+G8YX3p1LEDN27cYMjQodgUseFqaCiQfIFfypd36py2bN7M7Tu38fHx4fr1G8ybmzz3+ruJ32v2GxDQFV9fX1wquXDj5g3Nyb1v388Nmk9W359+n/fFw8OT6jWq8/hxOLNmzSQxMZHPevXW7DNw2jTsi9tTsWJFjh87zvLlQRSztaVb9+4GzSU7+Qwc0J9abm5Uq1aNuNg4Nm7ayN27d2nRosUbkU+v3r35bsIEBvTvT5euXQk+sJ/Q0Cu0a9dOK+fIyCds3LQpOaeBg9i1axcBAQEMGz6csAf3WbFiOU5OTppjNDPH5JuSz4ABA+nbtw/duwXwWa/e/PHHNsLCwtJ8NhITEzl37ixVqlQx2jkuO/l8M3IEpZ2ccHVNHu3fuWMHp0+fpkaN9wDTn+Myeh3TnK8HDeTo0aN06tSZqlWqaM6HNjY2mj/UTPn5yWo+3bp358dJk/jyy6G0bduOoGXLiI2N5fN+yceavb09+fPnZ/HixVjny4dLJRf++GMbt27dokmTpgaJX4rlXKqUo6PW49i4OEKOHOWDRob/kOcGq1atYsiQIZrHmzdvZvPmzZQrV45r167x+PHjNCMZmTF58mSSkpL49lvjLtUTFRVNYGAgSUlJKBQKChQoQL8vvtBcQBUdHYVSqdD0r1atOiNHjiQwMJBBgwZiZmaGu7sHP0+datS403Pjxg0ApqWKx9/fX3OThNQ5xcbFsnrVKpYHBaFQKHBwKMGMmbNwcHDQ9HkSGcn0wEBUKhVKpRJbW1t+mDQJ51SrAOhbVt+fZ89imDt3DiqVCoVCQaHChZnw3USt+cAPwh6wevUqTS7Vq1cncPovBs0ju/nExcUzb+5czciztbU17du3Z+iXX70R+bRs2Yr79+4RFBTEiRPHsbCwwNfXl2HDR2j6PH36lOjo/1aGKFqsGFN+nsr4cWP5+qsvUSqVVKxYkV9+naHpk5lj8k3Jx7VmTQYPGcLsWbMYOmQwZmZm+Pv7a9ZYTrE8KAiVSkXv3n0MmkNO81Gp1CwPCtJM9cmTJw9NmjRlvJHPzenJ6HVM/fk5ceIEACtWLGfFiuWadlfXmsyZOxcw7ecHspZP27btuHP7DmvXriHk0CEsLCz4rFdvrT9S5syZy4gRw/ll+nRUKhXm5ubUrVuPCd99l2b/+iDrLOdiq9auI/TqNc1jMzMzPu/9WZormsXbRx/rLAshhBDvOlln+R3XpHEjrXUMk5KS2LN3vwkjEkIIIYR4u0ixnIsVtbFJ8xfT5dBQbt4y/JX9QgghhBC5gRTLuVy92j5Y582r1bZrz17NIuxCCCGEECJ9UiznclZWVjSor30TgIePHnH2nHFvcSmEEEII8TaSYvkdUPP997BLtU7svuCDmrUKhRBCCCGEblIsvwOUSiVNP9C+m09sbCyHjhw1UURCCCGEEG8HKZbfEWWdy1CpYgWttuMnThIZ+SSdZwghhBBCCCmW3yEfNGqotZScSqVi9759JoxICCGEEOLNJsXyO0TXUnJXQq9y89Yt0wQkhBBCCPGGk2L5HVOvtg/W1tZabbKUnBBCCCGEblIsv2OsrKxoWK+uVtvDR485I0vJCSGEEEKkIcXyO8hVx1Jy+2UpOSGEEEKINKRYfgcplUqaNdGxlNzhIyaKSAghhBDizSTF8jvKuYyOpeROnpKl5IQQQgghXiHF8jusSaNGspScEEIIIUQGpFh+h9nYFMFTx1JyN27eMk1AQgghhBBvGCmW33F1ZSk5IYQQQoh0SbH8jrOysqJh/XpabY8eP+bM2XMmikgIIYQQ4s0hxbLA9b0a2NvJUnJCCCGEEKlJsSxQKpU0/eADrbbYuDgOylJyQgghhHjHSbEsAHAu45RmKbkTJ08RERlpooiEEEIIIUxPimWhoWspuT379pswIiGEEEII05JiWWjY2BTB08Ndq02WkhNCCCHEu0yKZaGlro+3LCUnhBBCCPEvKZaFFllKTgghhBDiP1IsizRkKTkhhBBCiGRSLIs0ZCk5IYQQQohkUiwLnZzLOOFSsaJWmywlJ4QQQoh3jRTLIl0fNG6YZim53Xv3mTAiIYQQQgjjkmJZpMumSNql5EKvXpOl5IQQQgjxzpBiWWSoXm0f8slSckIIIYR4R0mxLDKUJ08enUvJ/SlLyQkhhBDiHSDFsnit99+rgb2dnVbbAVlKTgghhBDvACmWxWslLyXXWKstNi6OgyGHTRSREEIIIYRxSLEsMkXnUnKnThMRIUvJCSGEECL3kmJZZNoHjRtiZmameaxSqdi9T5aSE0IIIUTuJcWyyDSbIkXwdHfTagu9eo3rN2+aKCIhhBBCCMOSYllkSV1dS8ntlqXkhBBCCJE7SbEssiRPnjw0bFBfq+1xeDh/njlrmoCEEEIIIQxIimWRZe/XqJ5mKbn9Bw/JUnJCCCGEyHWkWBZZplQqadZEeym5uLg4gmUpOSGEEELkMuamDkC8nco4OeFSqSKXr4Rq2k6eOo2bqytFi9qYMDL96NChA5s2bdKMlufPn5+vv/6asWPH6uy/efNm+vXrx8OHD0lKSqJ169Zs3LgxTb9Tp07x8ccfc/v2bdRqNXny5GHevHl07drVoPn4eHuRlJSUpr1suXKsXLlK53MCp01j7do1JCYmYmlpSdeAbvTq1QuA+Ph4+n3el6tXr5KQkIBSqaR4cQd+mDQJFxcXg+aS2qCBAzh27BgVKlZk+fIVOvs0btSQmJiYNO2FixRh585dAHh6uOt8rk/t2kybFqi3eNNz6e+/GTlyBGFhYajVaiwtLRk58hta+Pml+5yVK39j9qxZvHjxAjMzM/z8/Bg1eoxme98+fThz5k+t55ibm3P4yFGD5ZGdfzf4wAF+mvwTTyIjSUpKol79+kyePEWrz+PHjxkyZDDXr11DpVJhbW3Nl199RcuWrfQe/5rVq1i0aBFRUVGoVCq6dg3gi/79NdtVKhWf9+3DuXPnUKvVFCxYkInff4+np1e6+8zMa6LrOC1TxpnVa9boKTPdsnN++Prrrzhy+DCJiYkolUrKl6/AzFmzKFiwoEFj1SUhIYH+X/Tj4sWLJCUlYWZmhqurK7/OmIlSqXtMcN3atcycOYO4uDjUajXm5ub4+NRm8pT/jrvsvC6Gkp3j/6cfJ7F161YSEhJQKBQ4OjoybVogpUqXNmLkybIT/+vOb6/KzPdATkixLLKtSaNGXL12XXMyUalU7Nq7lw6ffGziyHKufPnyjBgxAh8fH1QqFRMmTGDcuHG89957fPjhh2n6P336lBIlStCuXTtmzpypc583b97Ey8sLZ2dnFi5cSLly5Th8+DCOjo6GTocVv60k8eVLzeOjx44yc8YM/P39dfbfsGE9K1f+hk/t2rRr245ly5ayYP48KlQoT4MGDXn69Cl3796lbdu2eHl58fDRYwKnTaVP714EHzxk8HxS/P77Vk6ePImlpWWG/ZYsXUZ8XJzm8f379xk27Gvq1a2raUt9gl21ehW/b91K586d9Ru0Dvfu3aNnzx44ODgwavQYHEuW5Ny5c9jZ26X7nDN//kngtGm4uLjQq1dvtm3bxpYtWyhRoiTde/TQ9LOwsGDx4iWax5Z58hgylWz9u89inmFbrBgNGzZi3VrdhWHPHt2JjIxkyJAhlHEuy6KFC/luwgTKlS1H5SpV9Br7s2fPKFWqNC1bvkdQ0LI024cOGczZs2cJCOhGJRcXpkyZzJDBg9mxc1eGxWJmXhMnJye+//5/mscFCxXKWTKZkNXzw+SffuRgcDAfffQRTZo05ezZs8ydO4f+X/RjWdByg8eb2pdDh3L+/Hl69OyJh7sHB4KDWfnbCkaOHMGPP/6k8zkFChakhZ8fHu4eFCpUiB07d7BxwwbGjR3DtxO+A7L+uhhSVo//9evXsX79eho0bMin7T/l+vXrBAZOo2/fPmz7Y/sbH39mz2+Q+e+BnFCo1Wq1wfYucr09+w9w5OgxrbZOn7anXFlnE0VkOEqlkq5du7JkyZIM+5mbm9OqVas0I8teXl5cunSJqKioHMdy4uSpHD2/c+dO3Lh+nZDDR3SOvPi3aklCQgI7/h11BWhQvx729sXTHeX6/fetfDdhAgsWLqR69Ro5ii8zIsLD8fdvRZ++fVm6ZAkOJUpkekTh66+/4mBwMNt37MTGRvcvIS18m5OQkMCevYZfS7xH927cunWLffsPZOk5oaGhhBw+omnzb9WS+Ph4du3eAySPZv7110UOGXmKVE7+XR9vL2rXqaM1shwVFUXTJh/Q87PP6N27j6a9Xt06VKrkwvwFC/QSty6eHu5aI8sqlQofby98atdm6tRpAISFhfGhfys+/qQ9X331lc79ZOY1adyoYZaOY0N53fmhY4dPefTokdZnI6BrF+7cucP+A8HGDBWA5s2akj9/AdatX69p8/NrgYW5OZs2b8n0fvxa+GJpacnGTZt1bn/d62Io2Tn+hw4dwrGjR7W+n0cMH05w8AGOHjtulLhTZCf+zJzfIGffAyk8Ui2Jq4vMWRY5UtfHO+1Scnty11JyCQkJDBw4ELVaTdu2bbO9nzNnzlCuXDkcHR1RKpVYW1sbfPqFLrGxsVy7epVatdzSPeE/fvyY6jW0C14XFxfu37+X7n4jI5Pv5mhnZ6+/YDPQq9dnlC1bjq5dA7L83GNHj+Lk5JRuoXzt2jUiIiJo1qxZTsPMlNDQUEqWdKSlnx9enh7Uq1uH8eN0T/lJcevWLco4a/9R6u7hkeaPsYSEBLy9PPHx9qL1h/5cuHBe7/Hros9/NyEhAQDrvHm12s3MzLhx43qO4syqM2f+RK1W4+vrq2krXrw4+fPn52yqaRapZeY1uXb1Kl6eHtSp7UPPHt15+vSpvlPIUGbOD66urjx79oytW7cCcPr0Ka5fv061atWNGapGhQoVuX//HseOJk9p2b17NxHh4fj4+GR6Hzt37iQiIoL3339f5/bMvC6Gkp3jv3bt2iQlJTF//nxUKhXXrl3j5MkTlCpVyuDxppad+DN7fsvJ90BWyDQMkSMpS8n9/srPOo/Dwzl95izutWqaMLKcW79+PR999JHm8fjx43P081tCQgJnzpzB29ubyZMns23bNoKCgsiTJw/z58/XR8iZMnfObNRqtdYczNRUKhV2qVY8KVqsGC9f+UnyVdHR0SyYPx8HBwfs7Q1fLE+ZMoXHjx+zZGnan8hfJ2UOX5cMTq4zZ/wKQJ++n2c7xqx4+fIloaFXqF69OgMGDuTI4RC2b9+OpaUl34warfM5L168wKZIEa224sUdgOSRnEKFCuHu7oaLiwvVa9Tgzu3bLFu2lN69erFl6+/Y2toaLB99/7u2trZYW1uzePFi3Nw9KFu2LFOn/kxsbCzm5sb9Grt9+zYATk5ltNqtra2Jjo5O93mZeU3q1KlDmTLOOJUpw6mTJ9i4cSOdOnYw6s/mmTk/fD1sOOEREUz8bgITv5sAgLOzM7/OmGGsMLVMCwykd6/PGDRooKbN09OTYcNHvPa53l6emsEdNzc3xo3/Vme/zLwuhpKd479du4+4e+cuC+bPY8H8eQDY2NiYZJpMduLPzPktJ98DWSXFssix92tU59Tp04Q9fKRpO3DwENWqVCFvXisTRpYzzZo1Y8+ePTx48ICZM2fy7bff4urqmqOCOX/+/Bw5kvyzUocOHbhw4QKrVq0yarG8fft2ihQporcL8eLj42n/7zz1ufMMn8fFixdYt3YN3//vh2xdTLQ8aBmWlpa0apX+hSUnTpygfPnyRr1YydramgULFwHJx961a9fZtWtXusVyZvT8rJfW4+a+vrT+0J/Zs2Yydtz4nIRr9H938pQpDB82jICuXQCwsrLCwcGB8PDwnIZrFJl5TVLmygI0atSIkiUd+eWX6Zw6dRI3N90XoOpbZs4PK1f+RvCBA7Ro0YK69erz919/sWLFcr7o9zkzZ802SpyvCgwM5NKlS3z8SXtq1qzJ8ePH2bxpI//7fuJrPz+zZs3mydOnHAw+wI4dO5g8+Se+/npYmn76Pm9mVVaP/4MHD7J69Sp8atemZctW3Ll9m0WLFtK5Uyet6SrGou/Pb06/B7JKimWRY0qlkqYffMCyFb9p2uLi4jgYEkKzJh+YMLKcyZ8/P40bJy+R17lzZ2xsbBg+fHi2i2UzMzNKlCih1ValShUuXryY41gz69y5c0RFRREQ0C3DfkqlkkePHmm1RYSHY2FhodUWHx9P2zZtiImJ4bffVhplVDn4QDBqtZpvRmqPGl0NDcXTw51DIYfTvdAjMjKSW7duUb9Bg3T3v2ZN8gog3br3SLePvimVSooVK6bV5uzsnOEUgzx58hD55IlWW1jYAwAKpXNRmIODA1ZWVprRUWPRx7/r5ubO3n37iYyMJDw8nIoVK+LfqiX58ufXY6Sv5+TkBMDt27eoWLGipj02NhYHB4dM7yczr4lvixb88st0Lpy/YJRiObPnh/nz5uHi4qIZhW3UqBExz2PYuGEDiYmJRh/tX79uLQ0bNtTMF2/UqBH3/rnLtm3bXlssu9asqXlOeHg4mzZuTFMsZ/Z1MaSsHv/Tpv5M0aLFtFbyKVCgAJMn/0RoaKjWsWsMWY3/dee35UHZ/x7IDimWhV6UcSpN5UqVuHTliqbt5Ok/qVXTlWJFi5owMv1Rq9XpTkPIDEdHR8LCwrTarly5gnWqOd+GNHvWLBQKBT169sywn62tLRfOa8+nvHLlCiVKlNQ8TimUo6OjCFq+wmjLEX3Svj1Vq1XVahs3diw2NjYMGjw4wxPk7FnJK5UM6D8g3T6rV63EysqKJk2a6CfgTLCzsyMiIkKr7fbt21hZpf/LTJkyZbh69apW26mTJ9MtlCH5D574+HiKGXAKhqH/XRsbG2xsbLh37x4PHz6kefPmeogw81xda6JQKNixYwdNmjQF4OHDh8TExPC+a+annmXmNdm/P/kCutL/FuiGltnzQ8pyca8yMzMDMMn1Kmq1GqXSTKstO/OKVSoVutY8yOzrYgyZPf4TXr7ELNVrYG5uuvcoRWbjf935LSffA9khxbLQmw8aNST02jWtpeR27933Vi4l5+3tTceOHXF1deXhw4dMmTKFp0+fMnz4cADKlSuHnZ0dR/+9oCQmJoZt27YBySfuf/75h9WrV1OsWDHN6PS3335Lt27daNq0KcOHD2fDhg2cOXOGzz83zrzYxMREzp07S5UqVdIUYW1at8bGpggLFy0GoFv37vw4aRJffjmUtm3bEbRsGbGxsXzeLznW+Ph42rRpzdMnT5jw3UQSX77kamjymtslHR0N+geAra0tDRo01GozNzcnX/78mvbU+aTYu3cv9vb26Rb2Dx8+5J9//qFpU+Nc2JeiV+/efDdhAgP696dL164EH9hPaOgV2rVrp+mTvPTSEzZu2gTAgAED6du3D927BfBZr9788cc2wsLC6PvKPOuAgK74+vriUsmFGzdvaL70+xp4Lvbr/t3U709sbCyHD4cAyZ+fx48esXv3LgoVKoyHhwcAixctQo0a1/ddOX/hPAvmzydv3ryM/GaU3uOPCA/nz1cu1rt16xa7d++iePHiVK9eAy8vL0IOHWL27FlUquTClMk/YWZmRu/evTXP+aBxI9zdPfhh0qRMvSanTp1k8aJFtGzZCgcHB44eO0rQsmVav3AZUlbOD1WqVOXMmT+ZMmUKjRs14vyF82zcsAF7e3uDLt+VnpIlS7J37x5KO5XGw92DkJAQTpw4QZVXliRL/fn5ZuQISjs54erqCsDOHTs4ffo0NWq8p7XvjF4XY3rd8Z86Px9vb7Zs2cLoUaNo07YNt27d4pfp08mbN69JppJkNf7Xnd8y8z2gT1IsC70pUqQwnh7uWkvVXL12nes3br51S8lFREQwZMgQkpKSUCgUFC5cmB9++IERI0ZotisUCk3/s2fP8umnn2oenzp1ik8//ZRChQpprmYPCAjg+vXr/PTTT+zevRtLS0u6dOnCrFmzjJLT8qAgVCqV1tI9KaKjo1Aq/8unbdt23Ll9h7Vr1xBy6BAWFhZ81qu35iR0+dIlIv8dCR096hutfQ0eMoQOHToaMJPXS50PwNEjh3n+/DkB3bql+7xZM5MvUDL2RTwtW7bi/r17BAUFceLEcSwsLPD19dW6QOnp06dER/93JbhrzZoMHjKE2bNmMXTIYMzMzPD399dag/RJZCTTAwNRqVQolUpsbW35YdIknJ0N+3l83b+b+v0JvXKF0aP+K3ovXbrE6FGjyJ8/P3v37f83/yesXbtW85ksW7YsU6cFGqSA2bV7F4HTpmkeHzwYzMGDwTg6OrJ+w0amTgvk8759WLpkieamJFOnTtOaOxkbG8uTV35Gft1rYmVlxeXLlzl9+rTmJhmVKlViUjrrBOtbVs4PgdOnM2TwYDasX8faNatRKpWUcXbWLKVnbHPmzmPIkMEsXrSIhQsWYGZmRvXqNZj+yy+aPqk/PyqVmuVBQSxelHydQJ48eWjSpCnjv9W+wC+j18WYXnf8p85v1OgxPHsWw4ED+9m9exdKpRJ7e3t++GHSWxF/Zs5vxiTrLAu9evHiBTPmzOP58+eaNttixejzWQ+jL7eTm+V0nWUhhBBCyDrLwgTy5MlDo/r1tNpSlpITQgghhHjbSLEs9O69GtUpnuo2vQcOHiIuLt5EEQkhhBBCZI8Uy0LvUpaSe1VcXBwhR46k8wwhhBBCiDeTFMtC7+Lj4zl/4UKa9qvXjHtbWiGEEEKInJLVMIReXbt+g61/bOfZs2dpttnZGXdtVyGEEEKInJJiWehFfHw8u/bu4+y58zq3l3V2xs/INw8QQgghhMgpKZZFjl2/cZOt2/4gWsdosqWlJU0/aIzrezW01iUWQgghhHgbSLEssu3Fixfs2ruPM2fP6dzuXKYM/n6+Gd5+VwghhBDiTSbFssiW6zdvsnXbdqKjo9Nss7S0pEnjRtR8/z0ZTRZCCCHEW02KZZElL168YPfe/fx59qzO7c5lnGjl14LCMposhBBCiFxAimWRaTdu3mLrtj+I0jGabGFhQZPGjajl+r6MJgshhBAi15BiWbzWixcv2LPvAKfPnNG5vYyTE/5+vhQuXNi4gQkhhBBCGJgUyyJDN2/dYsu2P4iK0j2a/EGjhrjVdJXRZCGEEELkSlIsC50SEhLYs28/p/7UPZrsVLo0/i1bUERGk4UQQgiRi0mxLNK4ees2W7f9wdOoqDTbLCws+KBhA9xq1ZTRZCGEEELkelIsC42EhAT27j/AydN/6txeulQp/Fu2wKZIESNHJoQQQghhGlIsCwBu3b7Dlm3bePpU92hy4wb1cXerJaPJQgghhHinSLH8jktISGDfgWBOnDqtc3vpUo74t/ST0WQhhBBCvJOkWH6H3b5zhy3b/uDJk6dptpmbm9O4QX083N1kNFkIIYQQ7ywplt9BrxtNLuXoiH/LFhS1sTFyZEIIIYQQbxYplt8xt+/cZcu2bemOJjdqUB8Pt1oolUrjByeEEEII8YaRYvkd8fLlS/YdCOb4yVM6tzs6luRDPz+KFs2do8kn0sn7beXh7mbqEIQQQryDctv3aWZIsfwOuHP3H7Zs20Zk5JM028zNzWlYvx6e7m4ymiyEEEIIkYoUy7nYy5cv2R98kGMnTurc7liyJP4tW1CsaFEjRyaEEEII8XaQYjmXuvvPP2z5/Q8iIiPTbDMzM6Nh/Xp4ebjLaLIQQgghRAakWM5lXr58yYGDhzh6/ITO7SVLlODDln4UKyajyUIIIYQQryPFci7yz717bN66Ld3R5Ab16uLt6SGjyUIIIYQQmSTFci6QmJjI/oOHOHb8BGq1Os32EiUc+LClH7bFipkgOiGEEEKIt5cUy2+5f+7dZ8vv2wiPiEizTUaThRBCCCFyRorlt1RiYiIHDoVw9Nhx3aPJDv+OJtvKaLIQQgghRHZJsfwWunf/AVt+38bj8PA028zMzKhftw4+Xp4ymiyEEEIIkUNSLL9FEhMTCT4UwpF0RpMdihfnw5Z+2NnZmiA6IYQQQojcR4rlt8T9Bw/YvFX3aLJSqaR+3TrU9vaS0WQhhBBCCD2SYvkNl5iYyMGQwxw+eiyd0WR7/Fv6YW9nZ4LohBBCCCFyNymW32D3H4Sx5fdtPHr8OM02pVJJvTq1qe3thZmZmQmiE0IIIYTI/aRYfgMlJSVxMOQwIUeO6hxNLm5vz4etZDRZCCGEEMLQpFh+wzwIC2Pz1vRHk+vW9qGOj7eMJgshhBBCGIEUy2+IpKQkDh0+QsiRo6hUqjTbi9vb4d/Sj+L29iaITgghhBDi3STF8hsg7OFDNm/dxsNHj9JsUyqV1PHxpm5tHxlNFkIIIYQwMimWTeh1o8n2drZ82KqljCYLIYQQQpiIFMsmEvbwIVt+30bYw7SjyQqFgrq1fWQ0WQghhBDCxOQOFkaWlJRE8KEQFixeqrNQtrO15bPuATSoV1cKZRMaPWoUdevUxtPDHU8PdxrUr8fCBfPT7R984AB+fi3w8fbC08Odr7/+Sme/S3//TesP/fHy9MDTw526dWrzx7ZthkpDp+bNm6NQKHB1dc1U/4EDB6JQKHBwcNBqVygUOv/z8/MzRNjp0lc+Fy9epHz58piZmaFQKChWrBi7d+82RMgZymw+bdq0wdLSEoVCgbm5OTVr1uTp06ea7R06dCBv3rya96VAgQJMmDDBwNGnpa98GjRokOZYy5Mnj4GjT2Zubq7zWK9evbrO/l27dqVQoUIolUqUSiU2NjYsXrxYq8+wYcMoWrQoSqUShULB6tWrjZEKYJh8XlWlShUUCgVt2rQxVApasprPsGHDyJcvn6Zf3rx56du3b5p+v//+O8WLF9f0y5cvH0ePHjV0OlnOB17/+WnWrJkmZ6VSiYODA9u3bzd4LoDmezH1fx06fJruc77++itq+3jj6eGOt5cnXTp3Jjo6Okf7zAkZWTaih48esXnrNsIePkyzTaFQUMfHm3p1akuR/AZwLOVI14Bu1KhRHbVKzcKFC5g3bx7ly1egfoMGafo/i3mGbbFiNGzYiHVr1+jc57179+jZswcODg6MGj0Gx5IlOXfuHHb2xlsCcOnSpezduxcrK6tM9Q8JCWHmzJkULFgwzbZz585pPQ4MDGTx4sV8/fXXeok1M/SVj0qlwtvbG6VSyaJFi7Czs2Po0KH4+vpy//597Iy0TGNm8/niiy/YtGkT/fr1o0OHDhw6dIjRo0fTuHFjTp8+DUD58uUZMWIEPj4+qFQqJkyYwLhx43jvvff48MMPjZGOXvMByJMnDydOnNB6bAwXLlzg5cuXmsc7duxg+PDh9OzZU2f/gwcP4uvrS5s2bShQoACDBg2iR48eVK9eHTc3NwCio6N57733KFWqFMuWLTNKHikMkU+K4cOHc/PmTaPeTTar+ZQoUYL+/ftTt25drK2tmTFjBnPnzqVUqVKMGjUKgH379uHv74+bmxvTpk3D3t6evXv36jwXmjqfzHx+Tp8+TYcOHWjVqhUvXrygf//+tGrVyijntxW/rSTxlXyOHjvKzBkz8Pf319l/8k8/cjA4mI8++ogmTZpy9uxZ5s6dQ/8v+rEsaHm29plTCrWuhXyFXiUlJXH46DEOhhzWOTfZtlgxPmzVkhIOxU0Q3bvhxMlTOd6Hp4c7fn5+jB03PsN+Pt5e1K5Th8mTp2i19+jejVu3brFv/4Ecx+Lh7vb6TqmEhYVRunRpJk6cyP/+9z+cnZ05c+ZMuv0TEhIoVqwYbdu2JSQkhOfPn/PgwYN0+zs4OPDixQsiIyOzHFt26DOfnTt30rx5czZt2qQpJBMTE7G0tKRLly4sXbr0jcqnRo0a/PPPP1qvtZubG6GhoVqjL6kplUq6du3KkiVL9B1+GvrOp0GDBhw/fpy4uDiDx/46rq6uXLx4kRcvXmSqKExISCBPnjz06tWLefPmaW0LCQmhbt26rFq1ivbt2xsq5AzpK59Tp07h6enJhg0baNeuHa1atWLjxo2GDF2nrOYDYG1tTa1atTh06BAApUuXxtzcnBs3bhgy1Ex5XT7ZOR9cunSJKlWq8MsvvzBgwIAsxZPT79POnTtx4/p1Qg4f0ZlPxw6f8ujRI/bs3adpC+jahTt37rD/QHC29pmRzHyfyjQMA3v06DGLli7jwMFDaQrllNHkXj26SaH8BktISGDKlOTCt0HDRtneT2hoKCVLOtLSzw8vTw/q1a3D+HFj9RXma9WuXZtq1aoxbNiwTPVv0qQJ+fPnz1RhdfHiRcLCwujQoUMOo8w8feYTExMDQIECBTRt5ubmKJVKDh8+rJd4Xycr+dStW5cnT55ofgo/cOAAFy5cwMvLS2f/hIQEBg4ciFqtpm3btnqNOz2GyCc+Ph4zMzMsLCwoU6aMUX4STy0mJoZz587RsGHDTH8ph4eHA1C8+Jt3ntdXPomJiTRp0oQPP/zQaL9c6JLVfFQqFZMnTyYuLk4zhSwxMZG7d+/i7OxMsWLFUCqV5M+fn5EjRxo6/DQyk09WzwcA9+/fB8DR0VH/QWcgNjaWa1evUquWW7r5uLq68uzZM7Zu3QrA6dOnuH79OtWq6Z6Gkpl95pRMwzAQlUrF4aPHCD4UksFosh8lUs2bFG+Offv2MXLEcM3jz3r1pl69etne38uXLwkNvUL16tUZMHAgRw6HsH37diwtLflm1Gh9hJyugQMHcu/ePa2ftDMya9YsQkJC+PvvvzPVf9iwYSgUCr7//vuchJlp+s7H19cXMzMzAgICOHjwILa2tnz88cckJSVpzfszlKzmM3PmTMLCwujRowc9evQAkueJ7tq1S6vf+vXr+eijjzSPx48fb7CfKV9liHwaNWpEzZo18fHx4cqVK0yaNIm6dety584dSpQoYZA8dBkzZgxqtZpJkyZl+jlNmzbF3NycoUOHGjCy7NFXPn5+fiiVStatW2eIMDMts/ncuXMHJycnzeNu3boxYsQIAM15Yt++fXz44Yd06NCBxYsXM2nSJIoXL86gQYMMl0Aqmckns+eDFImJiXTs2JECBQoYbV55irlzZqNWq/mif/90+3w9bDjhERFM/G4CE79Lvs7C2dmZX2fMyPY+c0pGlg3g0ePk0eT9wQd1jibX1owmS6H8JvPy8uLXGTMZP/5bqlWrxsIF8zl48GCO9mltbc2ChYto1qwZ3074jvLlK6R7QtOX48ePM2PGDJYvX07hwoVf2//+/fsMGjSIcePGUalSpUz9G3v37qVatWqZ2n9OGSIfa2trlixZQnh4OGXLlqVAgQKcPHkSW1tbFAqFnjPQltV8IHl++KZNm+jatSvr1q1j2LBhXLlyhcaNG2v1a9asGXv27CEoKAgvLy++/fZbtmzZYoAs/mOofMaOHcvUqVP56KOPGDVqFBcvXiQpKYlvvvnGQJnoFhQUhJ2dHTVr1sxU/+bNm/P333+zcuVKo3w+skof+Sxfvpw9e/awe/duo85V1iWz+ZQoUYI9e/awatUqWrZsyZIlSwgMDASSi0kAJycnNm3aRPv27dmxYwf29vZMnTrV0CloyUw+mT0fpHjvvfeIiIhg7969hgo7Xdu3b6dIkSK4uLik22flyt8IPnCAFi1a8MOkH+nSpSu3b9/mi36fZ3ufOSUjy3qkUqk4cuw4wYdCSEpKSrO9WNGifNjKj5JGHAUR2WdtbY2HhwcAvi1a0OSDxsyc8Wu2R5eVSiXFihXTanN2dubGjes5jjUjmzZtQq1W8/HHH2u1nz17FoVCwYsXL7C0tNS0Hzp0iMTERMaNG8e4ceO0nqNQKNi7dy+NGv03HWXGjBkkJCQwerRhR8dTGCqfzp0707lzZ+7cucPz58+pXLky+fPnx9nZ+Y3KB2DcuHHUrFlTM5e6Xbt2REdHM2fOHBITEzE3Tz6158+fX/OF2blzZ2xsbBg+fLhBR5cNmc+rnJycsLa25sqVKwbLJbXDhw8TERGR6Z/jW7Zsyc6dO1m6dKnWCP+bQl/5rF+/HpVKRa1atbT6b9q0CXNzc03xaWhZycfc3Fzz2Wjfvj2VKlVi4sSJDB48mIoVKwLJF8m+ysnJiUuXLuk/8HRkNp+sfH5q1KjBlStX2LdvH+7u7gaNP7Vz584RFRVFQEC3DPvNnzcPFxcXxo3/Fkj+VSnmeQwbN2xIk09m95lTUizryePH4Wz+fRv3dVwApVAo8PbypEHdOjpP+uLtoFarc3TSt7OzIyIiQqvt9u3bmV7JIbsGDBigKfpTdO7cGXt7e37++ec0hUuzZs3YsGGDVlu/fv148eIFCxcuTLOvwMBArK2t+eSTTwyTQCqGzqd06dIA7N69m+fPn9OxY0cDZPGfrOYDyVN6Uo/gpZxbdE37SqFWq7WusjcEY+UTFhZGXFycUadgjBo1CqVSydixr7/WoEWLFmzfvp358+fTtWtXI0SXdfrK56effkrT9tFHH+Hu7p7mD1RDyko+qb16fs+fPz/58+dPc3Hf3bt3sbGx0UusmZHZfDLz+VGpVLz//vv89ddf7NixI0dTCrNr9qxZKBQKeqSzqkeKxMTENPmkrBKW+nyQ2X3mlFRuOaRSqTh6/AQHDh5KdzTZv6UfjiVlNPlt0rNHd5o1a0bFipWIfPKEFcuDePbsGV3+/UJo07o1NjZFWLgo+YKK2NhYDh8OAZJPuo8fPWL37l0UKlRYUzj06t2b7yZMYED//nTp2pXgA/sJDb1Cu3btDJpLiRIl0sxLs7CwoFChQpr2cuXKYWdnx9GjRylcuHCa/inLwaVu/+eff7h+/bpRL+wzVD5Dhw6ldOnSvP/+++zatYuffvqJEiVKGPyinqzmA+Dh4UFwcDADBw7ko48+4siRI8yZM4dSpUppilFvb286duyIq6srDx8+ZMqUKTx9+pThw4djSIbKx83NjS5dulCrVi3++usvzfSLiRMnGjSfFImJiYSEhODu7p7mD9zU+fj6+rJjxw6++uorPDw8OH/+PJD8B3PKRXHXr1/n1KlTXL58GYAjR44AULlyZWrUqPFW5VOhQgUqVKigtY+Utcx9fX0NnktW82nWrBkNGzbEy8uLmJgY5s6dy9WrV7UK/n79+mn+CAgICGDOnDk8ePCAmTNnvnH5ZObzU6NGDf766y8CAwOxt7fXvIeOjo5G+QMgMTGRc+fOUqVKlTT5pP4+rVKlKmfO/MmUKVNo3KgR5y+cZ+OGDdjb22v9sZ3RPvVNiuUceBz+72jyfd2jyV6eHjSsV1dGk99CUVHRBAYGkpSUpLmhQ78vvtD81BMdHYVS+d9c1tArVxj97/qckLwsz+hRo8ifPz979+0HoGXLVty/d4+goCBOnDiOhYUFvr6+DBs+wqi56RIREZGtubkpF8Rk5eIgY8hOPrdv3+aXX34hKSkJMzMzvL29jbZo/+ukzmfHjh34+voye/Zsfv31V8zMzKhcuTK///671nOGDBmiOYYLFy7MDz/8oHnPTCk7+Tx69IihQ4eiUqlQKpWULFmStWvXUrlyZaPEPHnyZJKSkvj2229fm0/KzWymTJmiWUkHoH79+hw4cACAH374gYULF2q2/fLLL/zyyy9afQxJ3/mYWlbyef78OWPHjuXly5eam40MHDiQ6dOna/r8+OOPPHr0iBUrVhAUFISVlRUjR46kX79+b1w+mfn8/PXXXwAMHjxYa189e/ZkwYIFhkniFcuDglCpVPTu3SfNttTfp4HTpzNk8GA2rF/H2jWrUSqVlHF2ZurUaZnep77JOsvZoFKpOHbiJPuDD+ocTS5qY8OHrfxwLFnSBNEJXfSxzvKbJDvrLAshhBA59S5+n8qQZxaFh0eweds27t27r3N7ymiyhYWFkSMTQgghhBD6JsVyJmVmNNm/ZQtKGXmBbyGEEEIIYThSLGdCREQkm3/fxj/37unc7uXhTsP69WQ0WQghhBAil5FiOQMqlYrjJ0+xP/igziXDbIoUwb+lH6VLyWiyEEIIIURuJMVyOiIiItmy7Q/u/vOPzu2e7m40alBfRpOFEEIIIXIxKZZTUalUnDh1in0H0h9NbuXXAqfSpUwQnRBCCCGEMCYpll8RGfmEzb9vk9FkIYQQQggBSLGscer0n+zau0/naHKRwoXxb9kCp39vgyuEEEIIId4NUiwDl6+E8sfOXTq3ebjVolGD+lq3WBRCCCGEEO8GKZaBO3fvpmlTKpV0+vQTnMuUMX5AQgghhBDijaA0dQBvgooVKqRpU6lUnPrzjM5pGUIIIYQQ4t0gxTJQxqk0LZo3S9N+6fIVflu9lhcvXpggKiGEEEIIYWpSLP/LraYrH7VpjZmZmVb7rdu3WbbiN54/f26iyIQQQgghhKlIsfyKKpVd6Nj+4zQX8z0Ie8jiZct58vSpaQITQgghhBAmIcVyKs5lytC1U0esra212iOfPGHxsuU8fPTIRJEJIYQQQghjk2JZhxIOxenetTOFCxXSao+JiWHp8hU6V88QQgghhBC5jxTL6ShqY0P3rp2xs7XVao+Pf8Hylau5cvWqiSITQgghhBDGIsVyBgoUKEC3Lp0o5eio1Z6YmMiadRs4e/68iSITQgghhBDGIMXya1hZWdG5Q3sqViiv1a5Wq9ny+x8cOXbcRJEJIYQQQghDk2I5EywsLPikXVveq1E9zbY9+/aze+8+1Gq1CSITQgghhBCGJMVyJimVSvz9WuDj5Zlm29HjJ9jy+zaSkpJMEJkQQgghhDAUhVqGRLPsyLHj7Nm3P017hfLl+KhNaywsLEwQlcjIiZOnTB2CEEII8dbzcHczdQhGJyPL2eDj5cmHrfxQKBRa7VevXWf5ytXExcWbKDIhhBBCCKFPUixn03vVq9P+43aYm5trtd/95x+WLl9B9LNnJopMCCGEEELoixTLOVCxfHk6d/gUK6s8Wu2PHj9m8bIgIiIiTRSZEEIIIYTQBymWc6h0KUe6de5Mgfz5tdqjoqJZvCyI+w8emCgyIYQQQgiRU1Is64GdnS3dA7pQ1MZGqz02Lo5lK1Zy4+Yt0wQmhBBCCCFyRIplPSlcqBDdunSmhENxrfaEhAR+W72Gv/6+ZKLIhBBCCCFEdkmxrEf58lnTpWMHnMuU0WpXqVSs37SZU6f/NE1gQgghhBAiW6RY1rM8efLQ4ZOPqFLZJc22P3bu4sDBQ3K3PyGEEEKIt4QUywZgbm5O2w/9catZM822gyGH2b5zNyqVygSRCSGEEEKIrJBi2UCUSiW+zZpQv26dNNtO/fknGzZvITEx0QSRCSGEEEKIzJJi2YAUCgX169ahRbOmabb9fekyK9es5cWLFyaITAghhBBCZIYUy0bgVqsmH7VpjVKp/XLfvHWbZStW8vx5rIkiE0IIIYQQGZFi2UiqVHahY/tPsLS01Gp/EBbGkqDlPH361DSBCSGEEEKIdEmxbERlncvQtVMHrK2ttdojIiNZvGw5jx49NlFkQgghhBBCFymWjayEgwPdu3SmUKGCWu3PYmJYsnw5d+7+Y6LIhBBCCCFEalIsm0DRojb06NoFO1tbrfb4+BcsX7mK0KvXTBSZEEIIIYR4lRTLJlKgQAECOneilKOjVntiYiKr163n3IULJopMCCGEEEKkkGLZhPLmtaJzh/ZUKF9Oq12tVrN56zaOHDtuosiEEEIIIQRIsWxyFhYWfNKuLe9Vr5Zm2559+9m9b7/cHlsIIYQQwkTMTR2AADMzM/xb+mGdLx9HU40mHz12nNjYWFq18E2zTrMwnNGjRhEcfICEhAQA8ubNS5cuXej5WS+d/cePG8vBgwd5/vw5AAULFmTgoMG0atVK0+fXX39hy+bNPHv2DLVazcTvv6dJk7Q3rDG0QQMHcOzYMSpUrMjy5St09omPj2fokMGcPXuWpKQkLC0t6d6jBz169NT0WbN6FYsWLSIqKgqVSkXXrgF80b+/sdLQyEw+30/8ji1btqRpP37ipOb/PT3cdT7Xp3Ztpk0L1Eus6enbpw9nzvyp1WZubs7hI0fTfU7gtGmsXbuGxMRELC0t6RrQjV69dB+f7T/5hFu3blKvfn0mT56i19hfR1/HW1Y/k/rk4+1FUlJSmvay5cqxcuWqNO2NGzUkJiYmTXvhIkXYuXMXYNrjLav5/PrrL6xbu5b4+HgALC0taeHXkpEjRwLJ71+/z/ty9epVEhISUCqVFC/uwA+TJuHi4mLQXHTJan6ZOT8YU0JCAv2/6MfFixdJSkrCzMwMV1dXfp0xM8M6YOXK35g9axYvXrzAzMwMPz8/Ro0eo9luqs+Qubm5zvejWrVqXNAx5TQ2NpaWLVty6NAhEhMTsbKyYtSoUYwePVrTp0GDBgQHB2s9z9LS0mA3epNi+Q2hUCho0qgh+ayt2bNvv9a2c+cvEBcXR7vWH2JhYWGiCN8tjqUc6RrQjRo1qqNWqVm4cAHz5s2jfPkK1G/QIE3/s2fP4u3jQ4MGDbC2zsfUn6cw8bsJlC9XjspVqgAQE/OcChUqYG9vzx9//GHkjJL9/vtWTp48mWa979T6fd6XS5cu0aPnZ9Ss6crGDRuZO2cOJUs60qxZMwCePXtGqVKladnyPYKClhkj/DQym0+KV4s1RaovndSF3KrVq/h961Y6d+6c80AzwcLCgsWLl2geW+bJk27fDRvWs3Llb/jUrk27tu1YtmwpC+bPo0KF8jRo0FCr74xff+X+/Xsm+WNbn8dbVj+T+rTit5UkvnypeXz02FFmzpiBv7+/zv5Lli4jPi5O8/j+/fsMG/Y19erW1bSZ8njLaj7FihXj448/4f3338cqrxVr1qxh08YNFLe3p3uPHjx9+pS7d+/Stm1bvLy8ePjoMYHTptKndy+CDx4yeD6pZTW/FBmdH4zpy6FDOX/+PD169sTD3YMDwcGs/G0FI0eO4Mcff9L5nDN//kngtGm4uLjQq1dvtm3bxpYtWyhRoiTde/QATPcZunDhAi9feT927NjB8OHD6dmzp87+DRs25NSpU4wdO5b69eszd+5cxowZQ7ly5ejQoYOmX548eThx4oTWY0NRqOU3/jfO2fPn2bpte5rpF6UcHfn044/Im9fKRJG9vU6cPJXjfXh6uOPn58fYceNf2zchIYG6dWrTunVrRn4zSmvb2TNn6NOnt9FHliPCw/H3b0Wfvn1ZumQJDiVKpDvS5+3lScOGDfnfD5M0bX5+LbAwN2fT5rQjMJ4e7kYfWc5KPikjR1kZKWrh25yEhAT27N2nr5DT1bdPH/766yKHQg5nqr9/q5YkJCSw499RSoAG9ethb1+c1WvWaNou/f03PXp0Z9KkHxk5cgS169Qx2siyIY+3FFn5TOpT586duHH9OiGHj2Tqj5Cvv/6Kg8HBbN+xExsbG519jHm8pZbVfADq1a2Di4sL8+Yv0Ln999+38t2ECSxYuJDq1WvoM9wse11+2Tk/GFLzZk3Jn78A69av17S97vPQo3s3QkNDCTl8RNPm36ol8fHx7Nq9J91/KzufIQ93t0z31cXV1ZWLFy/y4sULne+HmZkZ7dq1Y80r57KSJUtiaWnJzZs3geSR5ePHjxP3yh+lhiS/67+B3q9Rg08+aou5ufbA/91//mHp8hU8e/bMRJG9mxISEpgyJbnAaNCwUaaeExUVBUDRokUNFldW9er1GWXLlqNr14DX9lWr1VhZaf9RZmFuzqNHjwwVXpZlJZ8U3l6eeHt54uvbnOADB9Ltd+3aNSIiIjSjmsaQkJCAt5cnPt5etP7QnwsXzqfb9/Hjx1SvoV2AuLi4cP/+Pc3jxMREBgzoT9169Qw+8qqLIY+37Hwm9SU2NpZrV69Sq5ZbpgvLY0eP4uTklG6hbIrjLUVW81GpVCwPWsaLFy+oXadOuv0iIyMBsLOz11us2ZGV/DJ7fjC0ChUqcv/+PY4dTZ6GtXv3biLCw/Hx8Un3Obdu3aKMs7NWm7uHh+a7KDVTfYZiYmI4d+4cDRs2TPf9UKvVaW7eZmlpyd27d7Xa4uPjMTMzw8LCgjJlynD0aPrT1nJKpmG8oSpVqEDnDu1ZtXYd8fH/zcF59Pgxi5ctp1OH9hRN58Qr9GPfvn2MHDFc8/izXr2pV69epp47cEB/zMzM+LRDR0OFlyVTpkzh8ePHLFmauekS9vb27Nq1i2bNm1OrlhsrViznwYMHBo4y87KaT9WqVVEqlbi5uxMREcGSxYsZNuxrFi1eQtWqVdP0nznjVwD69P1cr3Gnx93dDRcXF6rXqMGd27dZtmwpvXv1YsvW37FNtR47JBcsdnZ2Wm1FixXT+qlz6JDBKBQKJk360eDxp2ao4y0nn0l9mTtnNmq1OtO/omzdupWEhAS6ZPBHg7GPt1dlNp+wsDA+9P/vGgy/lq0ICOims290dDQL5s/HwcEBe3vTFsuZyS+r5wdDmxYYSO9enzFo0EBNm6enJ8OGj0j3OS9evMCmSBGttuLFHYDkwZtChQoBpv8MjRkzBrVazaRJk9LtU7p0aVatWkWnTp1o2LAhU6ZM4datW1p9GjVqRM2aNfHx8eHKlStMmjSJunXrcufOHUqUKKH3uKVYfoOVLlWKgM6dWLFqjdbFIk+joli8bDkd239CCYfiJowwd/Py8uLXGTOJCA9n3bq1LFwwn0qVKr32xDJo4ABu3LjB/36YRMGCBTPsawwXL15g3do1fP+/HzIdT+D0X/ii3+cMHDAASL5Ao2y5cty4ft2QoWZKdvJp3aYtrdu88rh1Gxo1bMD0wGk6f0Y+ceIE5cuXN9r7l/oCm+a+vrT+0J/Zs2Zma4rB9j/+4MSJEyxZuszoc5UNebxl9zOpT9u3b6dIkSKZvnBtedAyLC0ttS72Tc3Yx9urMptPsWLF+HXGTKKinrJjxw62/b6VChXK0yHVgEB8fDztP/kYgLnz5hss7szKTH5ZPT8YWmBgIJcuXeLjT9pTs2ZNjh8/zuZNG/nf9xP5ZtTo1+8gA6b+DAUFBWFnZ0fNmjXT7bN9+3YaNWpE06bJ0xQtLCyoVq0aFy9e1PQZO3as1nM6d+5MmTJl+Oabb1iyZIne45ZpGG84ezs7enTtjI2N9l+MsbGxLFvxGzdT/bUl9Mfa2hoPDw98W7Rg4aLFFChQQDMClJ6hQ4dw7Ngxxo0bT+PGjY0UacaCDwSjVqv5ZuQIPD3c8fRwJyYmhquhoXh6uGuujH6Vs7Mzf2zfwe49e1myZCmHQg6T18rqjbjANDv5pGZlZYWNTVHCHj5Ms23NmuQVJrp172GI8DPFwcEBKysrbt++rXO7UqlMM0UhIjxc8/7s278PtVpNQNcumtcoKSmJg8HB+Hh7GTR2Qx5v2flM6tO5c+eIiorC3//DTPWPjIzk1q1beGfw87kpj7es5GNubo6HhwdNmjTl55+nUrp0aRYvWqTVJz4+nrZt2hATE8OKFb+ZfFQ5q+9XiozOD8awft1aGjZsyFdffUWjRo0YOXIkbm5ubNu2Ld3n5MmTh8gnT7TawsKSf51JGVUG036GDh8+TERERLoX9qWoXLkyDx484MmTJ5w8eZL4+Hisra0zvIDPyckJa2trrly5ou+wARlZfisULlyY7l0689vqtTwIC9O0JyQk8NvqtbTxb0WVysZfnuddo1arSUxMTHf7kMGDOHLkCCO/GUULPz8jRpaxT9q3p2o17Z8Sx40di42NDYMGD85wpYKCBQtSsEoV4uPjuXz5MlX+XdnDlHKST4qEhASePImkXLlyabatXrUSKysrmjRporeYsyoiPJz4+HiK6ZiCAWBra8uF89pzmq9cuUKJEiUBGDhgIH6pjsGRI0ZQuXLldJeX0xdjHm+v+0zq2+xZs1AoFPR4zZf9f/1nAjCg/4B0+5jyeMtqPq9Sq9Vay4GlFMrR0VEELV9BqdKl9RlqtmQ3v4zOD8agVqtRKs202l73C1GZMmW4evWqVtupkye1CuX0/i1jfYZGjRqFUqlMMyqcnsKFC+Pm5kZsbCx//vkn7u66l1uE5GlCcXFxBpmCAVIsvzXy5ctH104dWLN+Azdv/TfalJSUxLqNm2gR1wy3mq4mjDB36dmjO82aNaNixUpEPnnCiuVBPHv2jC5duwLQpnVrbGyKsHDRYgAGDxrI0aNH6dSpM1WrVOFqaCgANjY2FC1WDIC7d+9y+fIlbv37/qUUO2WcylChYkWD5WJra5tmOTFzc3Py5c+vaU+dz5bNm7l95zY+Pj5cv36DeXPnAPDdxO81+4gID+fPV9YGvnXrFrt376J48eIGvfo9O/n0+7wvHh6eVK9RncePw5k1ayaJiYl81qu31n4ePnzIP//8Q9Omxr3QKiCgK76+vrhUcuHGzRuaL/m+/85hTZ1Pt+7d+XHSJL78ciht27YjaNkyYmNj+bxfcv9SpUunKVYUCgVFixXD26e2QXMx1PH2us+koSUmJnLu3FmqVKmS5mLE1Pmk2Lt3L/b29ukWjqY63iBr+Qwc0J9abm5Uq1aNuNg4Nm7ayN27d2nRogWQXCi3adOap0+eMOG7iSS+fKk5B5Z0dExzsZYxZCW/zJ4fjKVkyZLs3buH0k6l8XD3ICQkhBMnTmj98dizR3ciI5+wcdMmAAYMGEjfvn3o3i2Az3r15o8/thEWFqY5h6Q8x1SfocTEREJCQnB3d0/zfpQrVw47OzvNBXoLFy7kypUrtGjRgosXL2qK65UrV2qe4+bmRpcuXahVqxZ//fUX33zzDQATJ040SPxSLL9F8uTJQ4dPPmbjlq1cuqz9U8MfO3by/Plz6tWpjUKhMFGEuUdUVDSBgYEkJSWhUCgoUKAA/b74QnNBS3R0FErlf69zylqPK1YsZ8WK5Zp2V9eazJk7F4BlS5doLXy/evVqVq9erdXHVFLnExsXy+pVq1geFIRCocDBoQQzZs7CwcFB02fX7l0ETpumeXzwYDAHDwbj6OjI+g0bjRp/aqnzefYshrlz56BSqVAoFBQqXJgJ301MM09v1swZAEa/ucqTyEimBwaiUqlQKpXY2tryw6RJOP97dXvqfNq2bced23dYu3YNIYcOYWFhwWe9eqcpUt9U2TneXveZNLTlQUGoVCp69+6TZlvqfACOHjnM8+fPCeiWfnymOt4ga/nExcUzb+5czQiktbU17du3Z+iXXwFw+dIlIiMiABg96hutfQ0eMiTNvGZjyEp+mT0/GMucufMYMmQwixctBh1lRwAAGy9JREFUYuGCBZiZmVG9eg2m//KLps/Tp0+Jjv5vpQvXmjUZPGQIs2fNYuiQwck3O/P316yxDKb9DE2ePJmkpCS+/fbbNNsiIiK06paYmBimT5/O5MmTUSgUODs7s2fPHpycnDR9Hj16xNChQzXnzJIlS7J27VoqV65skPhlneW3kEqlYseu3Zz680yabe61atK8aRMpmFPRxzrLQgghxLsup+ssv43kAr+3kFKpxLdZU+rVSftz6snTf7Jh0xadt5YUQgghhBBZI8XyW0qhUNCgXl18m6a9KOSvS5dYuWatwe6RLoQQQgjxrpBi+S3n7laLdq0/THOl7I2btwj6bRXPn8eaKDIhhBBCiLefFMu5QNUqlenY/pM0a5Lef/CAJUHLeZrO7S6FEEIIIUTGpFjOJco6l6Frp45Y582r1R4RGcniZct59PixiSITQgghhHh7SbGci5Qs4UC3rp0pVEj7lqnPnj1jSdAK7v7zj4kiE0IIIYR4O0mxnMsUK1qU7l27YPvvjTBSxMfHE/TbKq5eu26iyIQQQggh3j5SLOdCBQsUoFuXTjg6ltRqT0xMZNXadZy/cNFEkQkhhBBCvF2kWM6l8ubNS5cOn1KhvPa97dVqNZu2/s7R4ydMFJkQQgghxNtDiuVczMLCgk/ataVG9Wpptu3eu489+w8gN3AUQgghhEifFMu5nJmZGR+29MPL0yPNtiNHj7H1j+2oVCoTRCaEEEII8eaTYvkdoFAoaNq4ER80aphm29lz51mzfgMvX740QWRCCCGEEG82KZbfIT5envj7tUChUGi1h169xopVq4mPjzdRZEIIIYQQbyYplt8x779Xg0/atcXc3Fyr/c7df1i6fAVxcXEmikwIIYQQ4s0jxfI7qFLFCnT6tD158uTRan/46DHBh0JMFJUQQgghxJtHiuV3lFPpUnTr0glLS0ut9mfPYkwUkRBCCCHEm0eK5XeYUqkkISFBq62MU2kTRSOEEEII8eaRYvkdduzESa3HVlZWvFejuomiEUIIIYR480ix/I6KiXme5rbXbjVd00zLEEIIIYR4l0mx/I469eefJCUlaR6bmZnh7lbLhBEJIYQQQrx5pFh+B718+ZKTp//UaqtetQoF8uc3UURCCCGEEG8mKZbfQecuXEyznrKXR9rbYQshhBBCvOukWH7HqNVqjqe6sK9c2bLY2dmaKCIhhBBCiDeXFMvvmNCr14iIjNRq8/aUUWUhhBBCCF2kWH7HHD1+XOuxvZ0tzmWcTBSNEEIIIcSbTYrld8i9+w+4c/cfrTZvT08UCoWJIhJCCCGEeLNJsfwOOXb8hNbjAvnzU7VKZRNFI4QQQgjx5pNi+R3x9OlT/r58WavNw90NMzMzE0UkhBBCCPHmk2L5HXH85CnUarXmsaWlJbVc3zddQEIIIYQQbwEplt8B8fHxnDl3XqvN9b0aWFlZmSgiIYQQQoi3gxTL74DTZ86SkJCgeaxQKPBwdzNhREIIIYQQbwcplnO5pKQkTpw6rdVW2aUSRQoXNk1AQgghhBBvESmWc7m/Ll3i2bNnWm1yExIhhBBCiMyRYjkXU6vVHD2mvVxcKUdHSpYoYaKIhBBCCCHeLlIs52I3b93m4aNHWm0+XjKqLIQQQgiRWVIs52LHTmiPKtvYFKFihQomikYIIYQQ4u0jxXIu9ejxY65dv6HV5uXuLre2FkIIIYTIAimWc6ljJ05qPc6bNy/v1ahuomiEEEIIId5OUiznQjExMVy4+JdWm1tNVywsLEwUkRBCCCHE20mK5VzoxKk/SUpK0jw2MzPDvVYtE0YkhBBCCPF2kmI5l0lISOD0mT+12mpUr0b+/PlMFJEQQgghxNvL3NQBCP06d+EicXHxWm1eHu4miiZ3GDRwAMeOHaNCxYosX75CZ5/GjRoSExOTpr1wkSLs3LkLgF9//YUtmzfz7Nkz1Go1E7//niZNmho09hQJCQn0/6IfFy9eJCkpCTMzM1xdXfl1xkyUyvT/Zo6JiWHI4EFcvHgRlUqFmZkZzX1bMHbsWACCDxzgp8k/8SQykqSkJOrVr8/kyVOMktOlv/9m5MgRhIWFoVarsbS0ZOTIb2jh56ezf+rXP2/evAQEdKN7jx6aPgMH9OfcuXPEx8ejUCiwsbFhzJgxePvUNkpOKXy8vbR+HUpRtlw5Vq5clab9+4nfsWXLljTtx1Ndu2BMWX1/Vq78jcBp09K0L1++ggoVKwJZf12ya83qVSxatIioqChUKhVduwbwRf/+AMTHx9Pv875cvXqVhIQElEolxYs78MOkSbi4uGS4329GjuDAgQMkJSWRN29evvzqa1q1agXA2TNn6NOnt87ndejQkcFDhugtv9Sye374ZuQIDh48yMuXLzE3N6dly5aM/GaUweJMz+PHjxkyZDDXr11DpVJhbW3Nl199RcuWrXT2X7d2LTNnziAuLg61Wo25uTk+PrWZPEX73JXVYzi7MjreAFQqFZ/37cO5c+dQq9UULFiQid9/j6enV6b2n9532KlTJxk7ZiyRkRGo1Wrs7OyYFjid8uXL6zW/+/fv4+fnx4ULF0hKSiJ//vzMmDGDgICA1z539uzZ9OvXDysrK+Li4vSyz+yQYjkXUalUaZaLK1+uHLbFipkoorff779v5eTJk1haWmbYb8nSZcSn+iAPG/Y19erW1bTFxDynQoUK2Nvb88cffxgsZl2+HDqU8+fP06NnTzzcPTgQHMzK31YwcuQIfvzxp3Sf9/HHHxEXG8vn/fpRo3oNbt26SZJKpdn+LOYZtsWK0bBhI9atXWOMVAC4d+8ePXv2wMHBgVGjx+BYsiTnzp3Dzt4u3eccP36catWq0fiDD7C1tWX+vHnMmTObEiVL0qxZMwAuX75M06ZNqVOnLgkvXzJlymSGDh3Ktj+2Y2NjY6z0WPHbShJfvtQ8PnrsKDNnzMDf3z/D5736RajIoMgxtOy8PymmT/+FokWLah47ly2r+f/svi5Z9ezZM0qVKk3Llu8RFLRMa9vTp0+5e/cubdu2xcvLi4ePHhM4bSp9evci+OChdPc59ecp7N27l5atWlG/fgNm/PoLE7+bQNWqVSlbtixVqlZN88f4tGlTOX36NF26dNFrfqll5/wwetQo9u7dS/v27anfoAH79x9g7ZrVFLGxoW/fzw0ab2o9e3QnMjKSIUOGUMa5LIsWLuS7CRMoV7YclatUSdO/QMGCtPDzw8Pdg0KFCrFj5w42btjAuLFj+HbCd0DOjuGsyuh4Axg6ZDBnz54lIKAblVxcmDJlMkMGD2bHzl0ULFgww32n9x0WGRnJwAEDKFKkCP/7YRIAUyb/RM8e3dm7bz/m5vorD728vHj06BHTpk2jSpUqfPfdd3Tr1o2qVavi5uaW7vNu377NwIEDKVq0KM+fP9fLPrNLoVar1XrfqzCJy1eusGb9Rq22Lh074FzGyUQRvTlOnDyV5edEhIfj79+KPn37snTJEhxKlEh3ZDm1r7/+ioPBwWzfsTNNkZUygmTMkeXmzZqSP38B1q1fr2nz82uBhbk5mzanHZEEWLRoIXPnzGHd+g2UKlXqtf+Gj7cXtevUMcrIco/u3bh16xb79h/I0X7q1PahRo0azJo9R+f2mzdv8mn7T/jyyy/5pP2nOfq3cqJz507cuH6dkMNHdI70pYwsm3Ik+VXZeX9SRpY3bd6Cg4NDpp7zutdFHzw93NOM9KX2++9b+W7CBBYsXEj16jV09mlQvx4lSpTgt39HwBMTE6lbpzYeHh5M/+VXnc+pV7cOdnb2Wp9bQ8jO+aFhg/o4OTmxZOl/xV1A1y7cuXOH/QeCDRrvq6Kiomja5AN6fvYZvXv30bTXq1uHSpVcmL9gQab249fCF0tLSzZu2gzo7xyTVamPN5VKhY+3Fz61azN1avIvL2FhYXzo34qPP2nPV199le6+MvoOW7J4MbNnz2LL1t+xt7fX2u8X/fvTtWv6I7Qe7pkvRiMjIylatCjjxo1j/PjxmnZra2tq1qxJSEhIus8tXbo0Tk5OmJmZcfz4cc3Ick72mV0yZzkXOXpc+4uyuL09ZZxKmyiat1+vXp9Rtmy5DE8a6Tl29ChOTk5GHY3MSIUKFbl//x7Hjh4FYPfu3USEh+Pj45Puc3bvSh61GDd2DN5entT28SYgoCtRUVHGCjtdoaGhlCzpSEs/P7w8PahXtw7jx43N0j4SExNJSkqiUKHC6fZ5/PgxAHb/fpmYQmxsLNeuXqVWLbfXFoTeXp54e3ni69uc4AMHjBOgDjl5f9q1bYOXpwdNPmjM+vXr0u2XldfF0CIjIwGws9N9nMTGxhIXF0ft2nU0bebm5jg4OBB69arO52z/4w9evHhBx04d9R9wKtk5PyQlJaUZrbS0zENsbCzx8fHpPEv/EhISALDOm1er3czMjBs3rmdqHzt37iQiIoL3339f06aPc4w+nDnzJ2q1Gl9fX01b8eLFyZ8/P2dTXZ+UWkbfYfEvkt+jfPn+u54pf/78ABw5fEQfoSf/O/Fp/x1IPv4vXryY7vN69OhBZGQku3fv1ts+c0KmYeQS/9y7x91//tFq8/b0kJuQZNOUKVN4/Pix1qhJZm3dupWEhAS6ZKPINpRpgYH07vUZgwYN1LR5enoybPiIdJ8TERFBdHQ09+/f55tRowkLC2PxooX06N6N9Rs2pvs8Y3j58iWhoVeoXr06AwYO5MjhELZv346lpSXfjBqdqX18/dWXqFQqevXWPU80MTGRsWNGY21tTYMGDfUZfpbMnTMbtVqd4chm1apVUSqVuLm7ExERwZLFixk27GsWLV5C1apVjRhtsuy8P2WcnGjWrDne3t7Excfx24oV/PTjj+TLl5/mzZun6Z+Z18UYoqOjWTB/Pg4ODpoRutTu3LkDQMmSJbTaCxUqpCm0U1u2bCkWFha0bdtOvwHrkJ3zQ8WKFTl//jzb//iDZs2bs2P7di5cOA8k51vx33nmhmZra4u1tTWLFy/Gzd2DsmXLMnXqz8TGxr52KoG3lyeqf6eVubm5MW78t5pt+jjH6MPt27cBcHIqo9VubW1NdHR0us973XdYs2bNWbxoEX379mHGjJmoVCoG9P8CgCdPdB+T2VGiRAny58/P999/T+PGjalWrRqDBg3i2bNn6S5nu3v3bpYsWcL27duxsrLSyz5zSorlXOLoce25ygULFKBK5YwvNhG6Xbx4gXVr1/D9/3547XwwXZYHLcPS0lJz4c6bIDAwkEuXLvHxJ+2pWbMmx48fZ/Omjfzv+4npnvhTZmgtWbqM4sWLAxAfH8fyoCCioqIoVKiQ0eLXxdramgULFwHQrFkzrl27zq5duzL1RTb5px85cuQIX/TvT9lX5sS+qnOnjkRHRzN/wUK9xp1V27dvp0iRIhlePNa6TVtat3nlces2NGrYgOmB05g3P3M/Q+tbVt8fb5/aWhdStm3bjsaNGjJ3zmydxXJmXhdDi4+Pp/0nHwMwd958ve03KiqKGzduUOeVax4MKTvnh5+nTqNnj+6MHz+O8ePHoVQqqVKlCn/99ZfRR/onT5nC8GHDCOiaPLfbysoKBwcHwsPDM3zerFmzefL0KQeDD7Bjxw4mT/6Jr78eptmek3OMKWXmO8zZ2ZnPP+/HvHlzada0CZBchObJk0fvg2ybN2+mbdu21Pp3Cdt8+fJRpkwZ7t+/n6ZvQkICrVu35tNPP9VcS5LTfeqDTMPIBZ48fcrlK6FabR7ubpiZmZkoordb8IFg1Go134wcgaeHO54e7sTExHA1NBRPD3fNz366REZGcuvWLbwz+PnSFNavW0vDhg356quvaNSoESNHjsTNzY1t27al+5wCBQpgZmamKZQBXN93BeDy5UsGjzkjSqWSYqkuXHV2dubFixevfe6UKVNYt24dPT/7LN0pNh07fMrt27eZOXOWSUZmU5w7d46oqCj8/T/M0vOsrKywsSlK2MOHBoosYzl5f15VqlQpnjx5kqY9u6+LPsXHx9O2TRtiYmJYseK3dEeVIXnuJcC9e9pf5FFRUeS1tk7Tf9asWQD07z9AjxGnLzvnh0KFCrFu/QaCDx5i0eIlBB88RIkSJQEoU6aMUeJO4ebmzt59+9m+YydBy1cQfPAQKpWKfP9OK0iPa82aNGrUiPHfTsDNzY1NG//7xUxfx3BOOTklX3N0+/YtrfbY2Nh0C+HMfod1696dI0ePsWbtOjZt3sLGTZtJSEjAoUQJnfvNrkaNGvH06VMePnzImTNniImJ+XcKXNoBlwcPHhAbG8vKlStRKBQoFAqCg4M1KxT9/PPPWd6nPsjIci5w/MRJXr1O09LSkprvv2fCiN5un7RvT9Vq2gXSuLFjsbGxYdDgwRmujDF71kwABhjpSy6z1Go1SqX2H0+vG/2pXr069+7dIyI8nKL/fmmcP5/8M6uLS2XDBJpJdnZ2REREaLXdvn1b5092r5o8+SfWrV1LQEA3rYuBUqhUKjp36sjNmzcJnD4d15o19Rp3Vs2eNQuFQkGPnj2z9LyEhASePImkXLlyBoosY9l9f1K7d+9emnmJkP3XRV9SCuXo6CiClq+gVOmMrw2xtrYmb968HDlyWDNtJDExkQcPHuDh4ZGm/57du7C1tcXZ2dkg8aeWnfNDCisrK80flEePHqF48eJ6XUkhK2xsbLCxseHevXs8fPhQ5y8S6VGpVFrfo/o6hnPK1bUmCoWCHTt2aC4If/jwITExMbzvqvv8lNXvsJSCfMXy5ajVaj75+GMDZJL8mtrZ2XHz5k3u3r1Lp06d0vQpWbIkGzZs0GobM2YMV69eZdWqVdSurb2MZ2b2qQ9SLL/l4uLiOXPuvFZbzfffM/oHOjextbVNM0fV3NycfPnza9rbtG6NjU0RFi5arNVv79692Nvb6/zyvHv3LpcvX+LWreQ5aBf+LTzLOJXRrCNrKCVLlmTv3j2UdiqNh7sHISEhnDhxgiqvLKuUvPzSEzZu2gTAwIGD2LVrFwEBAQwbPpywB/dZsWI5Tk5Omr/eY2NjOXw4+cpjtVrN40eP2L17F4UKFdZZBOhLr969+W7CBAb070+Xrl0JPrCf0NArtGv33/zO1PlM/ulH1q1bxwdNmtCkSROuhib/GlOgYEHN6Hmnjh24ceMGQ4YOxaaIjaaPnb290aedJCYmcu7cWapUqZLm85z6+Ov3eV88PDypXqM6jx+HM2vWTBITE/msl+752IaWnffn66+/wrmMM27u7sTGPmfBggVER0czYID2H54ZvS76EhEezp+vXDx169Ytdu/eRfHixalQoSJt2rTm6ZMnTPhuIokvX2qOk5KOjlj/O1L8QeNGuLt78MOk5GW5/P39Wb16Nf/7fiL16tXn119/SZ4nOnCQ1r994sQJYmJi6NS5s0Fy0yU754djR49yIPgADRs25NGjx8yfN5fnz5/z889TjRZ3isWLFqFGjev7rpy/cJ4F8+eTN29ezZrPqWP/ZuQISjs54eqa/EvZzh07OH36NDVq/DfIlJljWF8yOt6qV6+Bl5cXIYcOMXv2LCpVcmHK5J8wMzOj9yvXW7x6vGXmOwzgu+8mUL16DRwdS7Jnzx42bdyIi4uL3teV//7771Gr1dSrV48jR47w7bffki9fPubNmweAt7c3jx494vr165ibm9OmTRut50+fPp3r169rtb9un/omxfJb7vSZM7x8Zd1RhUKBZxaWdRHZEx0dhVKpPa/r6JHDPH/+nIBu3XQ+Z9nSJVo3jli9ejWrV6/G1bUmc+bONWS4zJk7jyFDBrN40SIWLliAmZkZ1avXYPovv2j6PH36lOjo/1a6KFqsGFN+nsr4cWP5+qsvUSqVVKxYkV9+naHpE3rlCqNH/XcTgkuXLjF61Cjy58/P3n37DZZPy5atuH/vHkFBQZw4cRwLCwt8fX21LkhKnc+OHTsA2LN7N3teucLa0dFRc8HijRs3AJg2VfsL39/fn1GjxxgsH12WBwWhUql0joCnPv6ePYth7tw5qFQqFAoFhQoXZsJ3E6lXr54xQ9bIzvuT+PIly5cHsXTpEhQKBfny5WPQoMF0TDVSlNHroi+7du/SukHKwYPBHDwYjKOj4//bu5ufuMooDsCHCWQCTWhSXGiTthttpJC2VgqY1GVdm7jqX6DurLqS1ujWJlATjB8Lram7RhsC+CfYD6StLTSWBW1iayIQSoLFpgwzLqCYCxlFCr1zmefZ3ZPM5EzmZvK779z7njh58sOYXlpxPNH1QeJ17xw/HseOLe5eMTc3l7iF5N333o/Jyano7++Pvr6+qK+vj66uE6sGQHz15ReRy+XWtQvPeq3n96FQKMSPg4NxfmkVsKmpKXp6euLgUgB9mmZm7se5c+diYWEhampqFh/y6zm9fDG1svdisRTfnT0b33y9eD9yPp+Po0dfi48+/ucBv7Wcwxvl38637384H909p+Ptt96Mb8+cWR5K0t3dk7gNY+X5tha3x8djcGBgeTDLkSOvxienTm3Y53psamoqent7o1AoRC6Xi5aWlhgYGFi+sJycnFy1iv+k77nR7LOcYQsLC/HpZ58nJse17GuON15P7z6+SrWefZYBgKT/s8/yVuEBvwwbGb25asTyKx2b99c3AEC1EZYzqlQqrdoubs/uXbFzjZOvAAD4b8JyRo3fuRMTS9PFHuu0qgwAsKGE5Yy6cDG5qty0Y0fsXfGgCAAAT0ZYzqA/JiZi/PbtRK3TaGsAgA0nLGfQxctDieOGhobY35relDEAgK1KWM6Y2dnZuDEymqgdfvlQ1NXVpdQRAMDWJSxnzOXhK1EsFpePa2troy3lkbwAAFuVsJwhjx49iuErVxO1/a2tsW3b5kysAQCodsJyhlz75Xo8fPgwUevsOJxSNwAAW5+wnBHFYjEurRjZvPeF5+OZpqaUOgIA2PqE5Yy4NTYW92dmErXOdkNIAAA2k7CcET+tGG2987lnY8/uXSl1AwBQHYTlDPjt7t24d+/3RK2z3RASAIDNJixnwIUVq8rbGxtjX/OLKXUDAFA9hOUKNz19P369NZaodbS3RS7nqwMA2GwSV4W7NJQcbZ3P5+OlAwdS6gYAoLoIyxVsbu6vuHb9RqJ26OCByOfzKXUEAFBdhOUKNnz1aszPzy8f53K5aD/clmJHAADVRViuUIVCIYZ+Hk7UWpqbY3tjY0odAQBUH2G5Qo2M3ow/HzxI1Iy2BgB4umpKpVIp7SYAAKASWVkGAIAyhGUAAChDWAYAgDKEZQAAKENYBgCAMoRlAAAoQ1gGAIAyhGUAAChDWAYAgDL+BqVaWFR6r912AAAAAElFTkSuQmCC" 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" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 11 + }, + { + "cell_type": "code", "source": [ "plt_path = _plot_path(\n", - " x, y, metric=\"wdtw\", title=\"wdtw path g 0.2\", dist_kwargs={\"g\": 0.2}\n", + " x, y, method=\"wdtw\", title=\"wdtw path g 0.2\", dist_kwargs={\"g\": 0.2}\n", ")\n", "plt_path.show()\n", "plt_alignment = _plot_alignment(\n", - " x, y, metric=\"wdtw\", title=\"wdtw alignment g 0.2\", dist_kwargs={\"g\": 0.2}\n", + " x, y, method=\"wdtw\", title=\"wdtw alignment g 0.2\", dist_kwargs={\"g\": 0.2}\n", ")\n", "plt_alignment.show()" ], @@ -479,39 +504,44 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:13.316747Z", - "start_time": "2023-10-12T12:51:12.981272Z" + "end_time": "2024-12-05T16:18:42.039852Z", + "start_time": "2024-12-05T16:18:41.538359Z" } - } - }, - { - "cell_type": "code", - "execution_count": 13, + }, + "id": "8d40e7306887cb82", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" 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E5ORkc0P3999/L3U0IiKb4ogFERERERFlG3ssiIiIiIgo21hYEBERERFRtuW4Hguj0Yi4uDjkzp07UxsTERERERHRq4miiCdPnsDLywsKxZvHJHJcYREXFwdvb2+pYxARERER5Ri3b99GsWLF3vicHFdY5M6dG8Dz//g8efJInIaIiIiISL6Sk5Ph7e1t/o79JjmusDBNf8qTJw8LCyIiIiIiC8hMiwGbt4mIiIiIKNtYWBARERERUbaxsCAiIiIiomxjYUFERERERNnGwoKIiIiIiLKNhQUREREREWUbCwsiIiIiIso2FhZERERERJRtLCyIiIiIiCjbWFgQEREREVG2sbAgIiIiIqJsY2FBRERERETZxsKCiIiIiIiyjYUFERERERFlGwsLIiIiIiLKNhYWRERERESUbSwsiIiIiIgo21hYEBERERFRtrGwICIiIiKibGNhQURERERE2cbCgoiIiIiIso2FBRERERERZRsLCyIiIiIiyjYWFkRERERElG0sLIiIiIiIKNtYWBARERERUbaxsCAiIiIiomxjYUFERERERNnGwoKIiIiIiLKNhQURERFlSnJyMrp27Yrff/9d6ihEZIdYWBAREVGmzJ07F2UrVsbft+8iPT1d6jhEZGdYWBAREdFbGY1GLFmyxPznCxcuSJiGiOwRCwsiIiJ6q3379uH69evmPx84cEDCNERkj1hYEBER0Vv99ttvGf68f/9+iZIQkb1iYUFERERvFB8fj40bN2a470BkJAwGgzSBiMgusbAgIiKiN1qyZAn0ej1q1qxpvi/p8WPExsZKF4qI7A4LCyIiInoto9GIBQsWAAA++6x3hsf27dsnRSQislMsLIiIiOi1wsLC8Pfff8Pd3R2dOnVE6VKloFIoIIoiCwsiyoCFBREREb2WqWn7008/RZ48edC1cye0adUCer0ekZGR0Ol0EickInvBwoKIiIheKS4uDps3bwYA9OvXz3x/xYoVUaBAAaSkpODYsWNSxSMiO8PCgoiIiF5p8eLFMBgMqFu3LipWrGi+X6FQoGHDhgDYZ0FE/2JhQURERC8xGAzmpm3TaIVWq8XEyVMxcfJUBAUFAWBhQUT/YmFBREREL9m1axdu3bqFvHnzolOnTub7dToddDodAgMDAQBRUVFITU2VKiYR2REWFkRERPQSU9N2z5494eLi8tLjpUuXhpeXF9LT0xEdHW3reERkh1hYEBERUQZ37tzB1q1bAQB9+/Z95XMEQUCjRo0AcDoUET3HwoKIiIgyWLRoEYxGIxo0aIBy5cq99nksLIjoRSwsiIiIyEyv12PhwoUAMi4x+yqmwuLYsWN48uSJ1bMRkX1jYUFERERmO3bswJ07d5A/f3589NFHb3yur68vSpQoAb1ej4MHD9ooIRHZKxYWREREZGZq2g4ODoaTk1OGxwRBgK+PN3x9vCEIAgBOhyKif7GwICIiIgDArVu3sGPHDgCvbtpWq9Xo2b0benbvBrVaDYCFBRH9i4UFERERAQAWLlwIo9GIhg0b4v3338/Ua0w7cJ88eRIPHz60ZjwisnMsLIiIiAh6vR6LFi0C8Pam7RcVKVIE5cqVgyiK2L9/v7XiEZEMsLAgIiIibN26FXFxcfD09ET79u1f+RytVosp06ZjyrTp0Gq15vs5HYqIABYWREREhH+btnv16gWNRvPa5z1LTcWz1NQM95kKi/DwcOsFJCK7x8KCiIjIwd24cQO7du0CAPTp0yfLrw8MDIQgCDh37hzu379v6XhEJBMsLIiIiBzcggULIIoimjRpgtKlS2f59fnz54efnx8AjloQWdLs2bNx6NAhGI1GqaNkCgsLIiIiB6bT6bB48WIAWWva/i/2WRBZVkJCAoYOHYr69evjxo0bUsfJFJXUAYiIiEg6mzdvRnx8PAoVKoQPPvjgnY/TqFEj/PLLLywsiCxk/YYN+Pq7HwAAxYoVkzhN5nDEgoiIyIGZmrY/++wz86Z37yIgIABKpRLXrl3DrVu3LBWPyGFtWL9e6ghZxsKCiIjIQV27dg1hYWEQBCFTTduCIMCrSGF4FSkMQRAyPJYnTx7UrFkTAPssiLLrn3/+keW+MCwsiIiIHNSCBQsAAM2aNUOJEiXe+ny1Wo2QXsEI6RX8ytEN9lkQWcbGjRthMBikjpFlLCyIiIgckFarxZIlSwBkr2n7RQ0bNgTwvLAQRdEixyRyRH/99ZfUEd4JCwsiIiIHtHHjRjx48ABFihRBmzZtLHLMunXrQqPR4M6dO7h69apFjknkaB4+fIg9e/ZIHeOdsLAgIiJyQKam7d69e2e6aVun02H67DmYPnsOdDrdS4+7urrC398fAKdDEb2rzZs3Q6/Xo2LFilJHyTIWFkRERA7mypUr2LdvHwRBQEhISKZfJ4oikpKSkZSU/NqpTuyzIMqetWvXAgA+bN8epUuVQulSpaBQyOMrO/exICIicjDz588HALRs2RK+vr4WPXajRo3w9ddfIzw8HKIovrR6FBG93uPHjxEWFgYA+LhTJ5QtW1biRFkjj/KHiIiILCI9PR1Lly4FYLmm7RfVqlULrq6uSEhIwLlz5yx+fKKcbPPmzdDpdKhQoYLsigqAhQUREZFDWb9+PRITE1G0aFG0atXK4sfXaDQICAgAwOlQRFllmgbVqVMniZO8GxYWREREDsTUtB0SEgKVyjozol9cdpaIMicpKQm7d+8G8Lyw0Gq1mDh5KiZOngqtVitxusxhYUFEROQgLl68iP3790OhUGSpaTurTA3cERERstzki0gKW7ZsgVarRbly5VC+fHkAz1die9UKbPaKhQUREZGDMDVtt27dGsWKFcvy6wVBgGeBAvAsUOCNTdlVq1aFu7s7kpKScPLkyXfOS+RITJviyXUaFMDCgoiIyCGkpaVh2bJlAN69aVutVmNA3xAM6Bvyxr0vVCoVAgMDAXA6FFFmJCcnY+fOnQCAjh07Spzm3bGwICIicgB//fUXHj58CB8fH7Ro0cLq5+N+FkSZt23bNqSnp6NMmTKy3BjPhIUFERGRA3ixaVupVFr9fKbC4uDBg7JpPCWSimk1qI4dO8p67xerFhYHDhxA27Zt4eXlBUEQsHHjxjc+PyIiAoIgvPQTHx9vzZhEREQ52rlz53Dw4EEolUr07t37nY+j0+kwd/5CzJ2/8K0NpRUqVECBAgWQkpKCY8eOvfM5iXK6p0+fYseOHQDk3V8BWLmwSElJgZ+fH2bPnp2l1126dAn37t0z/xQsWNBKCYmIiHI+U9O26WLfuxJFEQmJiUhITIQoim98rkKh4LKzRJmwbds2pKWloXTp0qhcubL5fkEQ4OvjDV8fb9mMYlhnAev/17JlS7Rs2TLLrytYsCA8PDwsH4iIiMjBpKamYvny5QCss9P2mzRq1Ahr167Fvn378NVXX9n03ERy8eKmeC8WEGq1Gj27d5Mq1juxyx6LKlWqoEiRImjatCkOHTokdRwiIiLZ+vPPP/H48WMUL14czZo1s+m5TX0WUVFRSE1Ntem5ieQgJSUF27dvByDv1aBM7KqwKFKkCObNm4d169Zh3bp18Pb2RlBQEGJiYl77mvT0dCQnJ2f4ISIioudMTdt9+vSBQmHbj/333nsPRYsWhVarRVRUlE3PTSQH27dvR2pqKkqWLImqVatKHSfb7KqwKFOmDPr164fq1aujbt26WLx4MerWrYtp06a99jUTJ06Eu7u7+cfb29uGiYmIiOzXmTNnEB0dDZVKhc8++8zm5xcEgcvOEr3Bi5vi/bePQqvVYsq06ZgybbpsVlazq8LiVWrVqoWrV6++9vGxY8ciKSnJ/HP79m0bpiMiIrJfptGKDz74AIULF5Ykg6mwCA8Pl+T8RPbq2bNn2Lp1K4DXT4N6lpqKZzKaRmjV5m1LiI2NRZEiRV77uJOTE5ycnGyYiIiIyP6lpKTg999/B2C5pm1BEODunsd8OzNMK0MdPXoUT548Qe7cuS2ShUjudu7ciWfPnqF48eKoXr261HEswqqFxdOnTzOMNvz999+IjY1Fvnz54OPjg7Fjx+Lu3bvm1Sp+/fVXlChRAhUqVEBaWhoWLlyIffv2Yffu3daMSURElOOsWbMGycnJKFmyJBo3bmyRY6rVaoQOGpil1/j6+qJkyZK4fv06IiMj0apVK4tkIZK7nLIp3ousOhXq+PHjqFq1qrkZZfjw4ahatSrGjx8PALh37x5u3bplfr5Wq8WIESNQqVIlBAYG4tSpU9izZ4/F3hCJiIgchWkaVN++fW3etP1f7LMgyig1NRVbtmwBIP9N8V5k1RGLoKCgN26gs3Tp0gx/Hj16NEaPHm3NSERERDlebGwsjh49CrVajV69ekkdB40aNTLPQiAiYNeuXUhJSYGPjw9q1qwpdRyLsfvmbSIiIsoa02hF+/btUbBgQYsdV6fTYeGSpVi4ZCl0Ol2mX2fqs4iNjcXDhw8tlodIrnLiNCiAhQUREVGO8vTpU6xcuRKA5XfaFkURcffiEXcv/o0zEv6rcOHCKF++PERRxP79+y2aiUhu0tLSzNOg3rQpniAI8CpSGF5FCsum+GBhQURElIOsXr0aT548wXvvvWceKbAH7LMgem737t148uQJihUrhtq1a7/2eWq1GiG9ghHSKxhqtdqGCd8dCwsiIqIcZN68eQCeN23b01VOU5HDwoIcnWlTvI4dO0q+sIKl5az/GiIiIgd2/PhxxMTEQKPRIDg4WOo4GQQGBkIQBJw/fx7x8fFSxyGSRHp6OjZt2gTgzdOg5IqFBRERUQ5hatr+6KOPUKBAAYnTZJQ/f35UqVIFAHfhJse1Z88eJCcnw8vLC/7+/m98rk6nw/TZczB99pwsLZYgJRYWREREOUBycjJWr14NwPJN25bCPgtydKbVoD766KO3ToMSRRFJSclISkrO0mIJUmJhQURElAOsXLkSKSkpKFu2LBo0aGC187i6uMDVxeWdXsvCghyZVqs1T4PKSZvivciqG+QRERGR9YmimGGnbWs1bWs0GowcFvrOrw8ICIBSqcT169dx8+ZN+Pr6WjAdkX3bu3cvHj9+jMKFC6Nu3bpSx7EKjlgQERHJ3NGjR3Hq1Ck4OTmhZ8+eUsd5rdy5c6NWrVoA2GdBjufFaVBKpVLiNNbBwoKIiEjmTKMVnTp1Qr58+SRO82ZcdpYckU6nw8aNGwHkzNWgTFhYEBERydjjx4/xxx9/ALB+07ZOp8OyFSuxbMXKd16l5sU+C7k0pBJl1759+/Do0SMUKlQIAQEBUsexGvZYEBERydiKFSuQmpqK8uXLo169elY9lyiKuHnrtvn2u6hbty40Gg3u3r2LK1eu4P3337dkRCK7ZNoUr0OHDpmeBiUIAjz/f9loe9rs8k1YWBAREcnUi03b/fr1k8WXDxcXF9StWxcRERHYt28fCwvK8XQ6HTZs2AAga9Og1Go1BvQNsVYsq+BUKCIiIpmKjo7G2bNn4ezsjE8//VTqOJnGZWfJkezfvx///PMPPD09rboUtD1gYUFERCRTptGKzp07I2/evBKnyTxTYREREQGj0ShxGiLrMq0G1b59e6hUOXuyEAsLIiIiGXr06BH+/PNPAPa70/br1KxZE66urkhISMC5c+ekjkNkNXq93jwNKqub4ul0OsydvxBz5y9858USbI2FBRERkQwtX74caWlpqFSpEurUqSN1nCzRaDTmlXE4HYpysgMHDiAhIQH58+dHUFBQll4riiISEhORkJgomxXUWFgQERHJjJRN22q1Gmq1OtvHYZ8FOQJHmgYFcFUoIiIi2Tl48CAuXLgAV1dXdO/e3Wbn1Wg0GDtqhEWO9WKfhV6vd4gvXeRYDAYD1q9fDyBnb4r3Io5YEBERyYxptKJLly5wd3eXOM27qVq1Ktzd3ZGcnIyTJ09KHYfI4iIjI/HgwQPky5fPXEjndCwsiIiIZOSff/4xb7Ylt6btFymVSvOcc06HopzI9O/0ww8/tMj0QTlgYUFERCQjy5YtQ3p6OqpUqYKaNWva9Nx6vR6r1qzFqjVrodfrs30801Xc8PDwbB+LyJ4YDAasW7cOgONMgwLYY0FERCQboihi/vz5AKTZadtoNOLqtWvm29nVsGFDAM+njGi1Wmg0mmwfk8geREVFIT4+Hh4eHmjcuPE7HUMQBLi75zHflgMWFkRERDKxf/9+XLp0CW5ubujatavUcbKtQoUK8PT0REJCAo4ePYr69etLHYnIIkyrQX3wwQfvXDCr1WqEDhpoyVhWx6lQREREMmFq2u7atSvy5MkjcZrsUygU5lEL9llQTmE0Gs3ToLK6KZ7csbAgIiKSgYSEBPOXFTk3bf8X97OgnCY6OhpxcXHIkycPmjRpInUcm+JUKCIiIhlYunQpdDodqlevjurVq0sdx2JMhUV0dDRSU1Ph4uIicSKi7HlxGpSTk9M7H0en02HZipUAgJ7du8liZSmOWBAREdk5o9GYoWk7JyldujSKFSsGrVaLqKgoqeMQZcuL06CyuxqUKIqIuxePuHvxEEXREvGsjoUFERGRnQsPD8fVq1eRO3dufPLJJ1LHsShBEDgdinKMI0eO4M6dO8idOzeaNWsmdRyb41QoIiIiO2dq2u7evTty5colWQ6NRoPx48ZY/LgNGzbE8uXLWViQ7Jk2xWvXrh2cnZ0lTmN7HLEgIiKyY/fv38eGDRsA5LxpUCamlaGOHTuG5ORkidMQvRtRFM2FhSNtivciFhZERER2bMmSJdDr9ahduzb8/PykjmMVvr6+KFWqFAwGAyIjI6WOQ/ROjh07hlu3biFXrlxo3ry51HEkwcKCiIjIThmNRixYsACAfYxW6PV6rF2/AWvXb4Ber7fosdlnQXJnWg2qTZs2Dru6GQsLIiIiO7Vnzx5cv34d7u7u6Ny5s9RxYDQaceHiJVy4eAlGo9Gix2ZhQXL24jQoS26K5+riAlcZFSls3iYiIrJTpqbtTz/9FK6urhKnsS5Tn8WpU6fwzz//IH/+/BInIsq8EydO4MaNG3B1dUWLFi0sckyNRoORw0Itcixb4YgFERGRHbp37x42bdoEwD6mQVlboUKFUKFCBYiiiP3790sdhyhLXpwGldMvArwJCwsiIiI7tHjxYhgMBtStWxcVK1aUOo5NmEYtOB2K5ISrQf2LhQUREZGdMRgMdtW0bSvssyA5OnnyJK5fvw4XFxe0atXKYsfV6XRYtmIllq1YCZ1OZ7HjWhN7LIiIiOzM7t27cfPmTeTNm9eijaD2LjAwEIIg4MKFC7h37x6KFCkidSSitzKNVrRu3Rpubm4WO64oirh567b5thxwxIKIiMjOmJq2e/To4VDLVubLlw9Vq1YFAISHh0uchujtRFE091c4+jQogIUFERGRXbl79y62bt0KwP6mQanVaowZORxjRg6HWq22yjk4HYrk5PTp07h69SqcnZ3RunVrqeNIjoUFkR27c+cOjhw5InUMIrKhRYsWwWAwICAgAOXKlZM6TgaCIECj0UCj0UAQBKucw1RYcMSC5MA0WtGyZUvkypVL4jTSY2FBZKeePn2KunXrwt/fH1FRUVLHISIbMBgMWLhwIQD7G62wlfr160OpVOL69eu4ceOG1HGIXuvFaVCO1Av1JiwsiOzUDz/8gJD+A/HN9z/i1+nTpY5DRDawY8cO3L59G/nz58dHH30kdZyX6PV6bNqyFZu2bIVer7fKOXLnzo1atWoB4KgF2bezZ8/i8uXLcHJyQps2baSOYxdYWBDZocuXL2PGjBnmP2/ZvBm3bt2SMBER2YKpabtnz55wdnaWOM3LjEYjTp05i1NnzsJoNFrtPOyzIDkwjVa0aNECuXPntso51Gq11fqZrIGFBZGdEUURn3/+eYY1qw0GA2bPni1hKiKyttu3b2P79u0AgL59+0qcRlovFhZyWWaTHI+1N8XTaDQYO2oExo4aAY1GY5VzWBoLCyI7s3XrVuzYseOlKxQLFixASkqKRKmIyNoWLlwIo9GIoKAglClTRuo4kvL394eTkxPi4uJw+fJlqeMQveTcuXO4cOECNBoN2rZtK3Ucu8HCgsiOpKWl4fPPPwcADBkyxHx/8eLF8ejRI6xYsUKiZERkTXq93uGbtl/k4uKCunXrAmCfBdkn02hF8+bN4e7uLnEa+8HCgsiOTJkyBdevX4eXlxe++OIL8/39+/cHAMyYMYPTAohyoG3btiEuLg4FChRA+/btpY5jF9hnQfbMFpvi6fV6rFqzFqvWrLXaYgmWxsKCyE7cvHkTP/74I4DnBYabm5v5sR49eiBXrlw4f/489uzZI1VEIrISU9N2r1694OTkJHEa+9CwYUMAz0csrNkoTpRVFy5cwLlz56BWq9GuXTurncdoNOLqtWu4eu2abP4NsLAgshMjR45EamoqGjRogC5dukChUKB0qVIoXaoUPDw8EBwcDAAZVosiIvm7ceMGdu7cCYBN2y+qWbMm3NzckJiYiLNnz0odh8jMNA2qadOm8PDwkDaMnWFhQWQH9u7di7/++gsKhQIzZ86EIAhQqVTo2rkTunbuBJVKZe652LZtG65evSpxYiKylIULF0IURTRu3BilS5eWOs4bqdVqjAgdihGhQ62+BKZGo0FAQAAAToci+2IqLLgp3stYWBBJTKfTmYuGgQMHonLlyq983vvvv49WrVpBFEXMnDnTlhGJyEp0Oh0WLVoEQB5N24IgwM3NFW5urhAEwernY58F2ZvLly/j9OnTUKlUVp0GJVcsLIgkNmvWLFy4cAEFChTAt99++8bnhoaGAgCWLFmC5ORkW8QjIivasmUL4uPjUbBgQXzwwQdSx7E7psJi//79smlepZzN1LTdpEkT5MuXT+I09oeFBZGE4uPj8fXXXwMAJk6ciLx585of02q1mDh5KiZOngqtVgvg+XzOsmXL4smTJ1iyZIkkmYnIckxN25999pksNsDS6/XYvnM3tu/cbZMv+lWqVIGHhweSk5Nx8uRJq5+P6G2svSme3LGwIJLQmDFj8OTJE9SoUQOfffbZS4/rdLoMO3ALgoChQ4cCAGbOnAmDwWCzrERkWdevX8fu3bsBAH369JE4TeYYjUYcj4nB8ZgYm6xSo1QqERQUBIDToUh6V69eRWxsLJRKJT788EOp49glFhZEEomOjsayZcsAPJ8OpVBk7p9jjx494OHhgWvXrmH79u3WjEhEVrRgwQIAQLNmzVCyZEmJ09gv07KzLCxIaqbRikaNGiF//vxWP59Go8H4cWMwftwYWYxoAiwsiCRhMBgwePBgAM/Xra9du3amX+vm5oaQkBAAwPTp062Sj4isS6vVYvHixQDk0bQtJVOfRWRkpHlaKJEUTP0VXA3q9VhYEElg0aJFiImJgbu7OyZOnJjl1w8ePBgKhQJ79+7l+u5EMrRp0yY8ePAAhQsXRtu2baWOY9cqVKgAT09PpKam4siRI1LHIQd1/fp1xMTEQKlUon379lLHsVssLIhs7OHDhxg3bhwAYMKECShUqFCWj+Hr62ue38mlZ4nkx9S03bt3b6vvByF3giBw2VmSnGkaVFBQEAoUKGCTc+r1eqxdvwFr12+QzapoLCyIbOyrr77CP//8gwoVKmDgwIHvfBzT0rO///47Hj58aKl4RGRlV69exd69eyEIgmyatqXGwoKkJsWmeEajERcuXsKFi5dssliCJbCwILKh2NhYzJs3D8DzkYY3XakUBAG+Pt7w9fF+5UZUAQEBqFKlClJTU81NoERk/+bPnw8AaNGiBXx9fSVOIw+mwuLw4cN49uyZxGnI0dy4cQPHjh2DQqHgNKi3YGFBZCOiKGLIkCEwGo34+OOPzSudvI5arUbP7t3Qs3u3VxYgLy49O3v2bNkMkxI5svT0dPMeNHJs2lar1Rg6sD+GDuxv0ylcpUqVgre3N7RaLaKiomx2XiLg39GKwMBAFCxYUOI09o2FBZGNrFq1CgcPHoSrqyumTJlikWN+8skn8PT0xO3bt7FhwwaLHJOIrGfDhg1ITExE0aJF0bp1a6njZJkgCPDw8ICHh8crR1KteV4uO0tS4aZ4mcfCgsgGnjx5glGjRgEAvvzyS3h7e1vkuM7Ozuarnlx6lsj+vdi0rVKpJE4jL+yzICncunULR44cgSAI6NChg9Rx7B4LCyIb+O6773Dv3j2ULl0aI0aMyNRrtFotpkybjinTpr9x7fYBAwZApVLh0KFDOHHihKUiE5GFXbp0CREREVAoFOa9aOTGYDAgbO8+hO3dB4PBYNNzm0Ysjh07hqSkJJuemxzXunXrADzvayxcuLDEaewfCwsiK7t48SKmTZsGAPj111/h5OSU6dc+S03Fs9TUNz7Hy8sLH3/8MQCOWhDZM1PTdqtWrSw2amlrBoMB0UeOIvrIUZsXFj4+PihdujSMRiMiIyNtem5yXNwUL2tYWBBZkSiKCA0NhV6vR+vWra02p9q09Owff/yB+Ph4q5yDiN5dWloali5dCkCeTdv2gtOhyJbu3LmD6OhoyaZBqdVqjBk5HGNGDpfNfjcsLIisaNOmTdi9ezc0Gg1+/fVXq52nVq1aqFOnDnQ6nXkONxHZj3Xr1uHhw4fw9vZGy5YtpY4jW6bCIjw8XOIk5AhM06Dq1asHLy8vm59fEARoNBpoNBqbLpaQHSwsiKwkNTUVw4YNAwCMHDkSpUuXtur5TKMWc+fORXp6ulXPRURZYyr4Q0JCoFQqJU4jX0FBQQCe7wn0zz//SBuGcjwpNsWTOxYWRFYyadIk3LhxA8WKFcO4ceOsfr6PPvoIXl5euH//Pv7880+rn4+IMuf8+fOIjIyEUqlE7969pY4ja4UKFUKFChUAABEREdKGoRwtLi4Ohw4dAgDJVoPS6/XYtGUrNm3ZKpu9qqxaWBw4cABt27aFl5cXBEHAxo0b3/qaiIgIVKtWDU5OTihdurR5TiqRnNy4cQM//fQTAGDq1Klwc3Oz+jnVajUGDhwI4HkTtyiKVj8nEb2dqWm7TZs2KFq0qMRp5I99FmQL69atgyiKqFu3LooVKyZJBqPRiFNnzuLUmbMwGo2SZMgqqxYWKSkp8PPzw+zZszP1/L///hutW7dGw4YNERsbi88//xwhISHYtWuXNWMSWdzw4cORlpaGhg0bvvMQqiAI8CpSGF5FCmd6bmXfvn3h5OSEEydOcHdaIjuQmpqKZcuWAWDTtqWwsCBb4KZ470YQbXRZUxAEbNiwAR9++OFrn/PFF19g27ZtOHv2rPm+Ll264PHjx9i5c2emzpOcnAx3d3ckJSUhT5482Y1NlGW7d+9G8+bNoVQqERsbi4oVK9r0/L1798bixYvRqVMnTokiktjy5cvRs2dP+Pr64tq1a7LvrxBFEQmJiQAAzwIFJGkoffToEfLnzw9RFHH37l1JmmopZ7t37x6KFi0KURRx8+ZN+Pj4SJJDq9Xipym/AADGjBwOjUYjSY6sfLe2qx6L6OhoNGnSJMN9zZs3R3R09Gtfk56ejuTk5Aw/RFLRarUYOnQoAGDw4ME2LyqAf5u4169fj9u3b9v8/ET0L1PTdp8+fWRfVADPLxIW9PREQU9PyVapyZs3L6pVqwaAfRZkHRs2bIAoiqhdu7ZkRYVc2VVhER8fj0KFCmW4r1ChQkhOTkbqazYJmzhxItzd3c0/ct10iHKGGTNm4NKlSyhYsCC++eYbSTJUrlwZQUFBMBgMmZ6GSESWd/bsWURFRUGlUuGzzz6TOk6OwulQZE3cFO/d2VVh8S7Gjh2LpKQk8w+v0JJU4uLiMGHCBADATz/9BA8Pj2wdT6fTYfrsOZg+ew50Ol2WXmsatZg/fz6ePXuWrRxE9G5MoxXt2rVDkSJFJE5jGQaDAREHIhFxINLmO2+/qGHDhgBYWJDl3b9/HwcOHADA/op3YVeFReHChXH//v0M992/fx958uSBi4vLK1/j5OSEPHnyZPghksIXX3yBp0+fonbt2ujZs2e2jyeKIpKSkpGUlJzlFZ7atm2LEiVK4NGjR1i5cmW2sxBR1jx79gy///47gJzVtG0wGHDg4CEcOHhI0sKifv36UKlU+Pvvv/H3339LloNyng0bNsBoNKJmzZrw9fWVOo7s2FVh4e/vj71792a4LywsDP7+/hIlIsqcgwcPYsWKFRAEATNnzoRCIe0/LaVSicGDBwPg0rNEUlizZg2SkpJQsmTJl3oHKfty586NWrVqAeAu3GRZ9rQpnlqtxojQoRgROhRqtVrqOJli1W8/T58+RWxsLGJjYwE8X042NjYWt27dAvB8GlOPHj3Mz+/fvz+uX7+O0aNH4+LFi5gzZw7+/PNP8+7FRPbIYDBgyJAhAJ6vyFSzZk2JEz332Wefwc3NDefOneN0ASIbe7FpW+oLDTkV+yzI0hISEsyFqj1MgxIEAW5urnBzc5VssYSssuq73fHjx1G1alVUrVoVwPO1/atWrYrx48cDeL6cl6nIAIASJUpg27ZtCAsLg5+fH6ZOnYqFCxeiefPm1oxJlC3z589HbGwsPDw88OOPP0odx8zDw8M8JWv69OkSpyFyHKdOncKRI0egUqnQq1cvqePkWC8WFhyVJUvYuHEjjEYjqlevjhIlSkgdR5ZU1jx4UFDQG/+xv2pX7aCgIJw8edKKqYgsJzExEV9++SUA4LvvvoOnp6fEiTIaOnQo5syZg61bt+LatWsoVaqU1JGIcjzTaEX79u1fWumQLMff3x9OTk64d+8eLl++jDJlykgdiWTOtBqUPYxWAIBer8fuPc9H5Jo1aQSVyqpf2y2C47NE2fC///0Pjx49QuXKldG/f3+p47ykTJkyaNGiBURRxMyZM6WOQ5TjPX36FCtWrACQs5q27ZGzszPq1asHgNOhKPsSExPNf4/spbAwGo04HhOD4zExMBqNUsfJFBYWRO/oxIkTmD9/PgBg5syZFr+SIAgCPAsUyPbutqalZxcvXswNJImsbPXq1Xjy5AlKly5tXhKVrIfLzpKlbNq0CQaDAVWqVEHp0qWljiNbLCyI3oHRaMSQIUMgiiI++eQTNGjQwOLnUKvVGNA3BAP6hmRrNYhmzZqhTJkyePLkySunHxKR5ZimQfXt2zdHNm2rVCr0Du6J3sE97WJahqnPIjw8XDZXdMk+cVM8y8h573pENrBixQpER0fDzc0NkydPljrOGykUCgwdOhTA85EVfvgSWceJEydw4sQJaDQaBAcHSx3HKhQKBYp6FUFRryJ2UTjVrFkTbm5u+Oeff3DmzBmp45BMPXz40Lzdgb1Mg5Ir6d8ViGQmKSkJo0ePBgB89dVXKFq0qMSJ3q5Hjx5wd3fH1atXsWPHDqnjEOVIptGKDh062N1CDjmVWq02jxhzOhS9q02bNkGv16Ny5cp4//33pY4jaywsiLLo22+/xf379/H+++/j888/t9p5dDod5s5fiLnzF0Kn02XrWLly5UJISAgALj1LZA3JyclYtWoVgJzdtG0wGBB1+AiiDh+RdOftF3E/C8oue9oUT+5YWBBlwfnz5zFjxgwAz7+gOzk5We1coigiITERCYmJFlmjffDgwVAoFAgLC8P58+ctkJCITFatWoWUlBSUKVMGgYGBUsexGoPBgD37wrFnX7jdFRYHDhyAXq+XOA3JzePHjxEWFgaA06AsgYUFUSaJooihQ4dCr9ejXbt2aNGihdSRsqR48eJo164dAJiLIyLKPlEUMzRty2WH3JzCz88PefPmRXJyMmJiYqSOQzKzefNm6HQ6VKxYEWXLlpU6TgZqtRpDB/bH0IH9s7WIiy2xsCDKpPXr12Pv3r1wcnLCtGnTpI7zTkxLzy5fvhwPHz6UOA1RznDs2DHExsbCycnJvNs92Y5SqTSPEnE6FGWVvW2K9yJBEODh4QEPDw/ZXLBgYUGUCc+ePcPw4cMBAKNHj0bJkiUlTvRuAgMDUblyZaSmpmLhwoVSxyHKEUyjFR07dkT+/PklTuOY2GdB7yIpKQm7d+8GwP4KS2FhQZQJP/30E27dugUfHx+MGTNG6jjvTBAE86jFrFmzOB+ZKJuSkpLwxx9/AMjZTdv2zlRYHDx4EOnp6RKnIbnYsmULtFotypUrh/Lly0sd5yUGgwFhe/chbO8+u+lpehsWFkRvcf36dUyaNAkA8Msvv8DV1VXiRNnTtWtXFChQALdv38bGjRuljkMkaytWrMCzZ89Qrlw51K9fX+o4Dqt8+fIoWLAgUlNTceTIEanjkEzY+6Z4BoMB0UeOIvrIURYWRDnFsGHDkJ6ejiZNmqBDhw42O68gCHB3zwN39zwWnVvp7OxsvrLKpWeJ3t2LTdv9+vWTzRzonEgQBE6HoixJTk7Grl27ANhvYSFHLCyI3mDHjh3YvHkzVCoVZsyYYdMvDmq1GqGDBiJ00ECLrwYxcOBAqFQqHDx4kKuoEL2jw4cP48yZM3B2dkaPHj2kjmMTKpUKPbp9gh7dPoFKpZI6TgamwiI8PFziJCQHW7duRXp6OsqUKYMKFSpIHSfHYGFB9Brp6enmfoShQ4eiXLlyEieyHC8vL/MVGi49S/RuTKMVH3/8MfLmzStxGttQKBQo7uuL4r6+UCjs6ytEw4YNAQDR0dF49uyZxGnI3r24KR5HGy3Hvt4ViOzIr7/+iitXrqBQoUL4+uuvpY5jcaaiafXq1bh//77EaYjk5dGjR1izZg0ANm3bi1KlSsHb2xs6nQ6HDh2SOg7ZsadPn2LHjh0A7HOZWTljYUH0Cnfv3sV3330HAJg0aRLy5Mlj8ww6nQ4LlyzFwiVLodPpLH782rVro1atWtBqteYrr0SUOb///jvS0tJQsWJF+Pv7Sx3HZgwGA44dP4Fjx0/YXTMp+ywos7Zt24a0tDS89957qFy5stRxchQWFkSvMGrUKKSkpKBu3bro3r27JBlEUUTcvXjE3YuHKIpWOYdp1GLu3LnQarVWOQdRTuPITdsGgwE7dodhx+4wuyssAO5nQZnz4qZ4jvTv1xZYWBD9x/79+7F69WoIgoCZM2fa3TxiS+rYsSOKFCmC+Ph4/Pnnn1LHIZKFQ4cO4fz583B1dcWnn34qdRx6ganP4vjx40hKSpI4DdmjlJQUbN++HYD9rwalVqvRv09v9O/T2+KLuFhLzv3GRPQO9Ho9hgwZAgDo27cvqlWrJnEi69JoNBg4cCCA50vPWmtkhCgnMY1WdOnSBe7u7hKnoRd5e3vjvffeg9FoRGRkpNRxyA5t374dqampKFmyJKpUqSJ1nDcSBAEFPT1R0NNTNiMrLCyIXjBv3jycOXMG+fLlww8//CB1HJvo168fnJyccPz4cURHR0sdh8iu/fPPP+ZpFGzatk+cDkVv8uKmeHL5si4nLCyI/l9CQgK++uorAMD333+P/PnzS5zINjw9PdG1a1cA3DCP6G2WL1+O9PR0VKlSBTVr1pQ6Dr2CaToUCwv6r2fPnmHbtm0A7H8aFPC8pyniQCQiDkTaZU/Tq7CwIPp/48aNw+PHj1GlShX07dtX6jg2ZWriXrduHe7cuSNxGiL75MhN23ISFBQEADh16hQSExOlDUN2ZceOHXj27BmKFy8ui6nOBoMBBw4ewoGDh1hYEMnJsWPHsGjRIgDArFmzoFQqJU70nKuLC1xdXKx+Hj8/PwQGBsJgMGDOnDlWPx+RHB04cACXLl2Cm5ubeZSP7E+hQoVQsWJFAEBERIS0YciucFM862NhQQ7PaDRi8ODBEEURn376KerVqyd1JADPG6tHDgvFyGGh0Gg0Vj+fadRi/vz5SE1Ntfr5iOTGNFrRtWtXSfa2sQcqlQpdPu6ILh93hEqlkjrOa7HPgv4rNTUVW7ZsAcBN8ayJhQU5vKVLl+Lo0aPInTs3fv75Z6njSKZdu3bw9fXFP//8g5UrV0odh8iuJCYmYt26dQAcu2lboVDg/dKl8X7p0na9FDcLC/qvXbt2ISUlBT4+PuyPsiL7fVcgsoHHjx9jzJgxAIDx48ejSJEiEieSjlKpxODBgwFw6Vmi/1q6dCm0Wi2qV6+O6tWrSx2H3iIwMBAKhQKXLl1CXFyc1HHIDnBTPNtgYUEO7ZtvvkFCQgLKli2LoUOHSh0nA51Oh2UrVmLZipXQ6XQ2OWfv3r3h6uqKs2fPIjw83CbnJLJ3oihi/vz5ABx7tAJ43kwae/o0Yk+ftutmUg8PD3NzLt/LKC0tzTwNSg6rQckZCwtyWGfPnsWsWbMAADNmzLBJH0NWiKKIm7du4+at2zYbPcibNy969uwJgEvPEpmEh4fjypUryJ07Nz755BOp40jKYDBg89bt2Lx1u10XFgCXnaV/7d69G0+ePEGxYsVQq1YtqePkaCwsyCGJooghQ4bAYDCgQ4cOaNq0qdSR7IZp5GbLli24du2axGmIpGdq2u7WrRty5colcRrKLPZZkMmL06DsuTfov1QqFXoH90Tv4J52vVjCi+Tz2yWyoD///BMRERFwdnbG1KlTpY5jV8qWLYvmzZtDFEXziA6Ro3rw4AE2bNgAgNOg5KZ+/fpQqVS4ceMG/v77b6njkETS09OxefNmAPKbBqVQKFDUqwiKehWRTUEkj5REFpSSkoKRI0cCAMaMGYPixYtLG8gOmZaeXbx4MZ48eSJxGiLpLFmyBDqdDrVq1UKVKlWkjkNZkCtXLtSuXRsARy0cWVhYGJKTk1G0aFHUqVNH6jg5HgsLK7h16xYmTZpk9/NPHdWPP/6IO3fuoHjx4hg9erTUcexS8+bN8f777yM5ORnLli2TOg6RJIxGI5u2ZY7Toci0Kd5HH30km6v+JgaDAVGHjyDq8BHZfKeU129YBoxGI4KDg/HFF18gMDAQ169flzoSveDq1auYMmUKAGDatGlwscGu1nKkUCjMvRYzZsyA0WiUOBGR7e3duxfXr19Hnjx50LlzZ6nj0DswFRbh4eFcQtsBabVabNq0CYA8N8UzGAzYsy8ce/aFs7BwVDqdDkFNmmHCDxNx9OhR+Pn5YdGiRXxDsxOff/45tFotmjdvjg8++EDqOG+lVquhVqslOXePHj2QJ08eXLlyBTt37pQkA5GUTE3bn376Kdzc3CROQ++iTp06cHZ2xr1793Dp0iWp45CN7d27F48fP0aRIkVQr149qeM4BBYWFvbipit169XD06dPERISgvbt2+PBgwcSJqOtW7di27ZtUKvVmD59ut1vkKPRaDB21AiMHTVCkqVwc+fOjd69ewPg0rPkeOLj481XOjkN6l8qlQod23+Iju0/lMUqNc7Ozqhbty4ATodyRKbVoDp06CC7aVByxd+yFe3Yvh2TJk2CWq3Gpk2bUKlSJfMGLWRbaWlp+PzzzwE8H7UoU6aMtIFkYvDgwRAEAbt378aFCxekjkNkM4sXL4Zer4e/vz8qVaokdRy7oVAoUL5cWZQvV1Y2X9TYZ+GYdDodNm7cCEB+q0HJmTzeFWRKqVRi1KhROHbsGCpWrIgHDx6gXbt26Nu3L54+fSp1PIfyyy+/4Nq1ayhSpAi++uorqePIRsmSJdGuXTsAz3stiByB0WjEggULAHC0Iid4sc+C/WKOY9++fXj06BEKFSqE+vXrSx3HYbCwsAE/Pz8cO3YMI0eOhCAIWLBgAfz8/BAVFSV1NIdw+/Zt/PDDDwCAyZMnI3fu3BInyhy9Xo9Va9Zi1Zq10Ov1kuUwLT27fPlyPHr0SLIcRLaye/du3LhxAx4eHvj444+ljmNXjEYjzl+4iPMXLsrmS3qNGjWQK1cuPHz4EKdPn5Y6DtnIi9OglEqlxGkcBwsLG3F2dsbkyZOxb98++Pj44Pr16wgICMD//vc/aLVaqePlaCNHjsSzZ89Qv359dO3aVeo4mWY0GnH12jVcvXZN0g/woKAgVK5cGc+ePcPChQsly0FkK6am7R49enDluP/Q6/X4a8NG/LVho6QXPLJCrVajQYMGADgdylHodDrzxpZyXA1KzlhY2FhQUBBOnz6NTz/9FEajET/88AP8/f05f91K9u3bhz///BMKhQKzZs2y+4ZteyQIgnnp2VmzZsnmywTRu4iLizP3wnEaVM7x4nQoyvkiIiLw8OFDeHp6motKOVKpVOjR7RP06PaJLBZLAFhYWJxCoUDpUqVQulSp1za2ubu7Y/ny5fjzzz+RL18+xMTEoFq1atwvwMJ0Op35C/GAAQPg5+cncSL56tq1K/Lnz49bt25h8+bNUschsppFixbBYDCgfv36KF++vNRxyEIaNmwIANi/fz8vjjgA06Z4HTp0kM0X8ldRKBQo7uuL4r6+slksQR4pZUSlUqFr507o2rnTW/8yd+rUCWfOnEGzZs2QlpaG0NBQNG/eHHfu3LFR2pxt9uzZOHfuHPLnz49vv/1W6jiy5uLiYr56y6VnKacyGAxs2s6h/Pz8kDdvXjx58gQnTpyQOg5ZkV6vx/r16wFwGpQUWFhIzMvLCzt37sSsWbPg4uKCPXv2oFKlSlizZo3U0WTt/v37+PrrrwEAP/74I/LlyydxIvkbMGAAlEolDhw4gNjYWKnjEFmU0WjEqlWrcPv2beTLl49fSHIYpVKJoKAgAOyzyOkOHDiAxMRE5M+f3/z/XK4MBgOOHT+BY8dPcOdtyjxBEDBo0CDExMSgRo0aePz4Mbp06YJu3bpxFZ53NHbsWCQnJ6N69ermTd4oe4oVK2b+ssVRC8oJEhMTsXr1avTs2RNeXl7o0aMHAKBnz55wdnaWOB1ZGvezcAym1aDat28v62lQwPPCYsfuMOzYHcbCwlFptVpMnDwVEydPzfJqT2XLlkVUVBTGjx8PpVKJVatWoXLlyti7d6+V0uZMhw8fxpIlSwA8bzbmMnOWY1p6dtWqVdxJnmTHYDAgOjoaX3/9NWrXro2CBQuia9euWL58OR4+fIgJP0zEhB8mYsyYMVJHJSswFRYHDx5Eenq6xGnIGgwGg3kaFDfFkwYLCyvQ6XTQ6XTv9Fq1Wo0JEybg4MGDKF26NO7cuYMmTZpg2LBhSE1NtXDSnMdgMGDw4MEAgODgYNSpU0fiRO9Oo9Fg/LgxGD9uDDQajdRxAAB16tRBzZo1odVqzUtyEtmzuLg4LFmyBJ07d4anpyfq1q2Lb7/9FkePHoUoiqhcuTJGjx6N7du3m1/j4eEhXWA7p1Qq0a5NK7Rr00p2F23KlSuHQoUKIS0tDUeOHJE6DllBZGQkHjx4gHz58pkb9sm2WFjYqTp16iA2Nhb9+/cHAPz666+oUaMGTp48KXEy+7Z48WKcOHECefLkwU8//SR1nBxHEATzqMWcOXO4BwvZHa1Wi/DwcHzxxRfw8/ND0aJF8dlnn+HPP//Eo0ePzJveLV68GHfv3sWpU6fw888/y3pJSltSKpWoUrkyqlSuLLvCQhAETofK4UzToD788EOo1WqJ0zgmFhZ2zM3NDXPnzsXWrVtRqFAhnD9/HrVr18bEiRNlM9fOlh49eoRx48YBAL755hsUKlRI4kQ5U6dOnVCkSBHEx8eb38SJpPT3339j3rx5+OCDD5A/f340atQIkyZNwunTpyEIAmrVqoXx48cjKioKCQkJWLNmDXr16gUvLy+po5ONma5is7DIeV6cBsXFF6Qj764WB9G6dWucOXMG/fr1w4YNGzBu3Dhs27YNy5cvR8mSJaWOZzfGjx+PxMRElC9f3jwdSs70ej02bH6+UVf7dm3tpglNo9FgwIABGD9+PGbMmIFu3bpJHYkcTGpqKvbv34+dO3di586duHTpUobHCxYsiObNm6NFixZo2rQpPD09JUqa8xiNRly9fh0AULpkSdmsrW9iGrE4fPgwUlJS4ObmJnEispRDhw4hPj4eHh4eaNy4sdRxHJa83hEcmKenJ9atW4clS5Ygd+7cOHToEPz8/LBo0SKIoih1PMmdOnUKc+bMAQDMnDkzRwyBGo1GXLh4CRcuXrK7jRP79esHjUaDo0eP4vDhw1LHoRxOFEVcvHgRv/76K1q0aIF8+fKhZcuWmD59Oi5dugSlUomAgAD88MMPOHHiBO7du4fly5eja9euLCosTK/X448//8Iff/4ly43mSpYsCR8fH+h0Ohw6dEjqOGRBpk3xPvzwQ7vpS3RELCxkRBAEBAcH49SpUwgICMDTp08REhKC9u3bO/QKPaIoYsiQITAajejUqZP5ihRZj2k1HYBLz5J1JCcnY+PGjejfvz9KlCiBcuXKYdiwYdi1axfS0tLg7e2NPn36YN26dfjnn39w4MABjBs3DtWqVZPdVXSyHfZZ5ExGoxHr1q0DkLOmQalUKnT5uCO6fNzRbmYtvA3ffS1MEAT4+njD18cbgiBY5RwlSpRAeHg4fv75Z6jVamzatAmVKlXCli1brHI+e7d69WpERkbCxcUFU6ZMkTqOwxg6dCiA51eJ7t69K3EakjtRFBEbG4uffvoJQUFByJ8/P9q3b4/ffvsNN2/ehEajQdOmTTF16lScO3cON2/exPz589GhQwe4u7tn+/wKhQKlS5VC6VKlWJjkcCwscp7o6GjExcXB3d0dTZo0kTqOxSgUCrxfujTeL11aNu9L8ih/ZEStVqNnd+vPOVcqlRg9ejSaN2+O7t274+zZs2jXrh369OmDX375Bbly5bJ6Bnvw5MkTjBo1CgDw5ZdfwsfHR+JEjqNq1aoICAhAZGQk5syZgx9++EHqSCQzDx8+RFhYmLlXIj4+PsPj7733Hlq0aIEWLVogMDDQqvPhVSoVunbmuveOwNTAfeLECSQlJVmkMCVpmRYSadeuHZycnCRO49jkUf7Qa/n5+eHYsWMYMWIEBEHAggUL4Ofnh6ioKKmj2cT333+PuLg4lCxZEiNGjJA6jsMxLT3722+/cZ8VeiuDwYAjR45gwoQJ8Pf3h6enJ7p06YKlS5ciPj4erq6uaNOmDWbNmoWrV6/i8uXLmDFjBlq1asUmW7KYYsWK4f3334fRaMSBAwekjkPZZDQazf0VOW1TPIPBgNjTpxF7+rRsVgPliEUO4OzsjClTpqB169bo2bMnrl+/joCAAIwdOxbjx4/PsU1Mly5dwrRp0wA83+fD2dlZ4kSO54MPPoCPjw9u3bqFVatWoXfv3lJHIjsTHx+PXbt2YefOndi9ezcePnyY4fGKFSuaRyXq16/Pq41kEw0bNsTly5exb98+tG3bVuo4lA1HjhzB3bt3kTt3bjRt2lTqOBZlMBiweevzzTvLly0ri71jOGJhYVqtFlOmTceUadNtvnlYw4YNcfr0aXz66acwGo344Ycf4O/vjwsXLtg0hy2IoojQ0FDodDq0atUKbdq0kTqSQ1KpVOalfadPn84Vygg6nQ779+/H2LFjUbVqVRQpUgTBwcH4448/8PDhQ7i7u6Njx45YuHAhbt++jTNnzmDy5Mlo3LixpEWFVqvFxMlTMXHyVG786ADYZ5FzvDgNihcYpccRCyt4JuGUEA8PDyxfvhxt27ZF//79ERMTg2rVquHnn3/G4MGDZdP88zabN2/Grl27oNFo8Ouvv1qtUV5KarUaY0YON9+2VyEhIfjmm29w5swZREREmOcvk+O4efMmdu3ahR07dmDv3r148uRJhsdr1KhhHpWoXbu23a5uotPppI5g95RKJVo2a2q+LVdBQUEAgNOnTyMhIYHLEsuUKIrmaVA5aTUoOcsZ3zLpJZ06dcKZM2fQrFkzpKWlITQ0FM2bN8edO3ekjpZtqampGDZsGABgxIgReO+99yROZB2CIECj0UCj0dh14ZQ3b1706NEDADBjxgyJ05AtpKWlYffu3Rg+fDjKly+P4sWLo1+/fti4cSOePHmCAgUKoFu3bvj9999x//59HDt2DN999x3q1atnt0UFZY5SqUTNGtVRs0Z1WRcWBQsWRKVKlQAAERER0oahd3b06FHcvn0buXLlQvPmzaWOQ2BhkaN5eXlh586dmDVrFlxcXLBnzx5UqlQJa9askTpatkyePBl///03ihYtinHjxkkdh/Dv0rObNm3C33//LXEasjRRFDM0UufLlw/NmzfHtGnTcOHCBSgUCtSrVw/fffcdjh07hvv372PFihXo3r07ChYsKHV8olfidCj5M41WtG3bFi4uLhKnIYCFRY4nCAIGDRqEmJgY1KhRA48fP0aXLl3QrVs3PHr0SOp4WXbz5k1MnDgRADBlypQcvayuXq/Hpi1bsWnLVrvf4bZcuXJo1qwZRFHErFmzpI5DFvD06VNs3rwZAwcORKlSpVCmTBmEhoZix44dSE1NRdGiRdG7d2+sXbsWiYmJOHjwIP73v/+hRo0aOWbKJb3MaDTixs2buHHzJoxGo9RxssVUWISHh0uchN6FKIrm/gpOg7IffPd3EGXLlkVUVBTGjx8PpVKJVatWoXLlyti7d6/U0bJkxIgRSEtLQ2BgIDp37ix1HKsyGo04deYsTp05K4sPcNOoxaJFi/D06VOJ01BWiaKI06dPY9KkSWjUqBHy5cuHDz74AHPnzsXff/8NtVqNxo0bY/LkyThz5gxu376NhQsXomPHjsibN6/U8clG9Ho9lq9cjeUrV9v9BY+3adCgARQKBS5dusRNPmXoxIkTuHnzJtzc3NCyZUup49D/42RXB6JWqzFhwgS0bNkSn376Ka5evYomTZrg888/x48//mj3w4h79uzBunXroFQqMXPmTLvuO3BELVu2xHvvvYcrV65g2bJlGDRokNSR6C0ePXqEPXv2mDeoi4uLy/B4iRIl0LJlS7Rs2RJBQUE5eoSQHI+HhweqVauG48ePIzw8HN27d5c6EmWBabSidevWdv/95V2pVCp0bP+h+bYccMTCwgRBgFeRwvAqUthuv/jWqVMHsbGx6N+/P4Dne0DUqFEDJ0+elDjZ62m1WgwZMgQAMGjQIHPTHdkPhUJh/n80Y8YMWYyyOBqj0ZihkbpAgQL4+OOPsXjxYsTFxcHFxQWtWrXCjBkzcPnyZVy7dg2zZ89GmzZtcnxRIQgCfH284evjbbfv3WR57LOQpxdXg8ppm+K9SKFQoHy5sihfrqxsppgKYg5beD45ORnu7u5ISkpCnjx5pI5j97Zt24bevXvj/v375hGN0aNH291qH1OnTsXIkSPh6emJy5cvw8PDQ+pIVqfVavHTlF8AAGNGDpfFRodPnjxBsWLFkJycjO3bt3N42k6kpaXhiy++wKpVq5CYmJjhsfLly5uXgg0ICOA68PRGcnxfepNdu3ahRYsW8PHxwY0bN1hUykRMTAyqV68OFxcXJCQkwM3NTepIOVpWvlvLo/whq2ndujXOnDmD9u3bQ6fTYdy4cQgMDMT169eljmZ27949TJgwAQAwceJEhygq5Cp37tz47LPPADzfMI+k9+jRI7Rs1Qr5CxXBkGEjkC9/fnTo0AHz58/HzZs3ce7cOUydOhVNmzZlUUEOp379+lCpVLh16xZXtJORF6dB5eSiwmg04vyFizh/4aJsZgGwsCB4enpi3bp1WLJkCXLnzo1Dhw7Bz88PixYtsoudlMeMGYMnT56gZs2a6NWrl9Rx6C2GDBkCQRCwa9cuXLx4Ueo4Du3mzZuoV68eDh08aL7v1s1bWLduHfr06QMfHx8J0xFJz83NDXXq1AHA1aHkwpE2xdPr9fhrw0b8tWGjbBZLYGFhYTqdDtNnz8H02XNktYurIAgIDg7GqVOnEBAQgKdPnyIkJATt27fHgwcPJMsVFRWF5cuXAwBmzZolmzmGjqxkyZJo27YtAGDmzJkSp3FcsbGx8Pf3x4ULF+Dl5WW+X62WRwOgrWm1WkyZNh1Tpk2HVquVOg7ZEPss5OXUqVO4evUqnJ2d0bp1a6nj0H/wW5qFiaKIpKRkJCUl28XV/qwqUaIEwsPD8fPPP0OtVmPTpk2oVKkStmzZYvMsBoMBgwcPBgD07t0btWrVsnkGKanVaowIHYoRoUOhVquljpMloaGhAIBly5bh8ePH0oZxQLt370ZAQADu3buHihUrIjw8QupIsvAsNRXPUlOljmHXlEolmjRqiCaNGtpdL967atiwIYDnhYUcP7cdjWm0olWrVjl+UQk5YmFBL1EqlRg9ejSOHTuGihUr4sGDB2jXrh369u1r0/0JFixYgJMnT8Ld3R0//vijzc5rLwRBgJubK9zcXGXXUNiwYUNUrFgRKSkpWLRokdRxHMqyZcvQunVrPH36FA0bNsTBgwdRtKjX219IlAlKpRJ169RG3Tq1c0xhUadOHTg7OyM+Pp7TN+0cN8Wzfyws6LX8/Pxw7NgxjBgxAoIgYMGCBfDz80NUVJTVz/3PP//gyy+/BAB89913KFiwoNXPSZYjCIJ5w7xZs2bBYDBInCjnE0UR33//PYKDg6HX69GtWzfs3LkT7u7uUkcjsmvOzs6oV68eAE6Hsndnz57F5cuX4eTkhDZt2kgdh17BJoXF7NmzUbx4cTg7O6N27do4evToa5+7dOlSCIKQ4YcrlUjH2dkZU6ZMwd69e+Ht7Y3r168jICAA//vf/6w6D/l///sfHj58iEqVKmHAgAFWO4890+v12L5zN7bv3C2bpq0XdevWDfny5cONGzewefNmqePkaHq9Hv369cNXX30F4PmCB8uXL5f9UqBkf4xGI+7G3cPduHuyWaUmM9hnIQ+m0YoWLVogd+7cEqehV7F6YbFmzRoMHz4cX3/9NWJiYuDn54fmzZu/sSE4T548uHfvnvnn5s2b1o5Jb9GwYUOcPn0an376KYxGI3744QdzY6ilnTx5Er/99huA582/ctlt0tKMRiOOx8TgeEyMLD/AXV1d0bdvXwBcetaanj59ig8++AALFiyAQqHA7NmzMXHixAwLHSgUCpQuVQqlS5XiAgiULXq9HouWLsOipctkecHjdUyFRUREhCzfbx2FI2yKJ3dW/4T55Zdf0KdPH/Tq1Qvly5fHvHnz4OrqisWLF7/2NYIgoHDhwuafQoUKWTsmZYKHhweWL1+OP//8E/ny5UNMTAyqVatm0V2WRVHE4MGDIYoiunTpgsDAQIscl6QxcOBAKJVK7N+/H7GxsVLHyXHu37+Phg0bYvv27XBxccH69esxcODAl56nUqnQtXMndO3cyWELdaI3qVGjBnLnzo2HDx/i9OnTUsehVzh37hwuXLgAjUbjMNOglEol2rVphXZtWsmmp8mqhYVWq8WJEyfQpEmTf0+oUKBJkyaIjo5+7euePn0KX19feHt744MPPsC5c+esGdOiBEGAZ4EC8CxQQHYNt5nVqVMnnDlzBs2aNUNaWhpCQ0PRvHlz3LlzJ9vHXrFiBaKiouDq6orJkydbIC1JydvbGx999BEAYMaMGRKnyVkuX74Mf39/HD9+HAUKFMC+ffvwwQcfSB1LtgRBgFeRwvAqUjjHvnfT66lUKjRo0AAAp0PZK9M0qObNmztM75hSqUSVypVRpXJlFhYAkJiYCIPB8NKIQ6FChRAfH//K15QpUwaLFy/Gpk2bsGLFChiNRtStW/e1X1rT09ORnJyc4UdKarUaA/qGYEDfENktEZoVXl5e2LlzJ2bNmgUXFxfs2bMHlSpVwpo1a975mMnJyRg9ejQA4KuvvkKxYsUsFZckZFp6dtWqVUhISJA4Tc4QHR2NunXr4u+//0apUqUQFRVl3uSL3o1arUZIr2CE9ArO0e/d9HovLjtL9sdRNsWTO7ubbOvv748ePXqgSpUqCAwMxPr16+Hp6Wmec/9fEydOhLu7u/nH29vbxokdlyAIGDRoEGJiYlCjRg08fvwYXbp0Qbdu3fDo0aMsH+/bb79FfHw83nvvPQwbNswKiUkK/v7+qFGjBtLT0zF//nyp48jexo0b0ahRI/zzzz+oWbMmoqKi8N57773xNVqtFhMnT8XEyVO5+RvRa5j6LPbv3y+rDW4dwYULF3Du3Dmo1Wq0a9dO6jg2YzQacfnqVVy+elU2vT9WLSwKFCgApVKJ+/fvZ7j//v37KFy4cKaOoVarUbVqVVy9evWVj48dOxZJSUnmn9u3b2c7N2VN2bJlERUVhfHjx0OpVGLVqlWoXLky9u7dm+ljXLhwwdzg++uvv8LJyclaccnGBEEwj1rMmSOvHentzezZs9GhQwekpaWhTZs2CA8Pz/RSzDqdjr97ojfw8/ND3rx58fTpU5w4cULqOPQC02hFs2bN4OHhIW0YG9Lr9fjjz7/wx59/yWaxBKsWFhqNBtWrV8/wBdNoNGLv3r3w9/fP1DEMBgPOnDmDIkWKvPJxJycn5MmTJ8OPlHQ6HebOX4i58xc61Ie4Wq3GhAkTcPDgQZQuXRp37txBkyZNMGzYMKS+ZSdbURQxdOhQ6PV6tG3bFq1atbJRarKVjz/+GIULF0ZcXJz5A4Iyz2g04osvvjAvbNCvXz9s2LABbm5uUkfLMXQ6HabPnoPps1n8OiqFQsHpUHaKm+LJh9WnQg0fPhwLFizAsmXLcOHCBQwYMAApKSno1asXAKBHjx4YO3as+fnffvstdu/ejevXryMmJgbdu3fHzZs3ERISYu2oFiGKIhISE5GQmAhRFKWOY3N16tRBbGws+vfvD+D56EONGjVw8uTJ175mw4YN2LNnD5ycnDBt2jRbRbV7arUaQwf2x9CB/WU/51uj0Zj/TnDp2axJT09H9+7dMWnSJADAjz/+iLlz53J1JwsTRRFJSclISkp2yPfuzFIqlWhQvx4a1K8nm2bSrOB+Fvbn0qVLOHPmDFQqFReokAGrFxadO3fGlClTMH78eFSpUgWxsbHYuXOnuaH71q1buHfvnvn5jx49Qp8+fVCuXDm0atUKycnJiIqKQvny5a0dlSzEzc0Nc+fOxdatW1GoUCGcP38etWvXxk8//fTSDszPnj3D8OHDAQCjRo1CqVKlpIhslwRBgIeHBzw8PHLEKjX9+/eHRqPBkSNHcOTIEanjyMLjx4/RokULrF69GiqVCsuXL8fYsWNzxN8HkielUomgBgEIahCQowuLQ4cOIT09XeI0BPw7DapJkybImzevxGnobWzSvD148GDcvHkT6enpOHLkCGrXrm1+LCIiAkuXLjX/edq0aebnxsfHY9u2bahataotYpKFtW7dGmfOnEH79u2h0+kwduxYBAYG4vr16+bn/Pzzz7h58ya8vb0zjFxRzlOoUCF06dIFAEctMuP27duoX78+IiIikDt3bmzfvh2ffvqp1LGIcrSyZcuicOHCSEtLw+HDh6WOQ+CmeHJjd6tCUc7i6emJdevWYcmSJcidOzcOHToEPz8/LF68GNevX8fPP/8M4PlGiq6urhKntS8GgwFhe/chbO++l0Z65MrUxL127VrcvXtX4jT26/Tp06hTpw7OnTsHLy8vREZGomnTplLHIoIoiniQkIAHCQk5csqYIAjss7AjV69eRWxsLJRKJadByQQLC7I6QRAQHByMU6dOISAgAE+fPkXv3r1Rs2ZNpKeno1GjRuZN1OhfBoMB0UeOIvrI0RxTWFSrVg3169eHXq/H3LlzpY5jl/bu3Yv69esjLi4O5cuXR3R0NPz8/LJ1TEEQ4OvjDV8fb06jomzR6XSYt2AR5i1YlGOb3NlnYT9MTduNGzdG/vz5JU5DmcHCgmymRIkSCA8Px88//wy1Wo2HDx9CqVRixowZ/LLjQEyjFr/99hvS0tIkTmNfVqxYgRYtWuDJkycIDAzEwYMH4ePjk+3jqtVq9OzeDT27d5P9QgBE1mYqLA4fPoyUlBSJ0zg2R98UT6lUomWzpmjZrKlsepq4rIiFCYIAd/c85tuUkVKpxOjRo9G4cWNs2xUGAG/d3Itylg8//BA+Pj64desWVq9ebV4hzpGJooiffvoJ48aNAwB06dIFS5cu5X4uNiQIAjwLFDDfJsdVokQJ+Pr64ubNmzh48CCaN28udSSHZFodVKlUon379lLHkYRSqUTNGtWljpElHLGwMLVajdBBAxE6aCCvDL5BpUqVpI5AElGpVBg0aBCA503cOXGedlbo9XoMHDjQXFSMGjUKK1euZFFhY2q1GgP6hmBA3xC+dzs4QRA4HcoOmEYrGjZsiAL/X/ST/WNhQUQ2FxISAhcXF5w6dQoHDhyQOo5kUlJS0KFDB8ybNw+CIGDGjBmYNGkSFArLvjVrtVpMmTYdU6ZNh1arteixiXIiU2ERHh4ucRLHxU3xnm+OeuPmTdy4eRNGo1HqOJnCwoKIbC5fvnzmpVMddenZBw8eoFGjRtiyZQucnZ2xbt06DBkyxGrne5aaimepqVY7PlFOYloZ6sSJE3j8+LG0YRzQjRs3cPz4cSgUCoedBgU8H9FevnI1lq9cDb1eL3WcTGFhYWE6nQ4LlyzFwiVLc+yKGUSWMHToUADApk2bcOPGDWnD2NjVq1dRt25dHD16FPny5cPevXsd+sPTHuh0OsydvxBz5y/kezehaNGieP/992E0Gh16VFUqpmlQgYGBKFiwoMRpKCtYWFiYKIqIuxePuHvxDj93nLJHrVajf5/e6N+nd46c812hQgU0adIERqMRs2bNkjqOzRw5cgT+/v64du0aihcvjqioKNStW1fqWA5PFEUkJCYiITGR791voFQq4V+7Fvxr15LNKjXvin0W0uGmePLFwoLITgmCgIKenijo6ZljV6kxLT27cOFCPH36VOI01rd582Y0bNgQiYmJqF69OqKjo1GmTBmpYxFlmlKpRNPGjdC0cSMWFmQVt27dwpEjRyAIAkdyZYiFBUlCoVCgdKlSKF2qlMUbVUk+WrVqhdKlSyMpKQnLly+XOo5VzZ07F+3bt0dqaipatmyJiIgIFC5cWOpYRPQaQUFBAIAzZ84gISFB2jAOxDRa0aBBA75HyhC/0ZEkVCoVunbuhK6dO0Gl4nYqr2IwGBBxIBIRByJzzM7b/6VQKMwNyzNmzJDNqhdZYTQaMXbsWAwcOBBGoxEhISHYvHkzcuXKJXU0oiwTRRGPHz/G48ePc/yUMU9PT1SuXBkAEBERIW0YB+Lom+LJHQsLIjtlMBhw4OAhHDh4KMcWFgAQHByM3Llz49KlSwgLC5M6jkVptVr06NEDP/30EwDg22+/xfz5821eTAuCAK8iheFVpHCOnVZHtqHT6TBjzjzMmDPPIZrcOR3Ktm7fvo3o6GgIgoCPPvpI6jj0DlhYEJGk8uTJg88++wxAzlp6NikpCa1atcLKlSuhUqmwZMkSfPXVV5J8sVer1QjpFYyQXsE5ciEAImsxLTvLwsI21q9fDwCoX78+ihQpInEa6SmVSjRp1BBNGjWUTU8TCwsrcHVxgauLi9Qx7JpWq8XEyVMxcfJUbthFGDx4MARBwI4dO3Dp0iWp42TbnTt3EBAQgL179yJXrlzYunUrgoODpY5FbyAIAtzd88DdPQ9HdcisQYMGUCgUuHz5Mu7cuSN1nByPm+JlpFQqUbdObdStU5uFhaPSaDQYOSwUI4eFQqPRSB3Hrul0OocYSqe3K126NFq3bg0AmDlzpsRpsufs2bPw9/fHmTNnULhwYRw4cADNmzeXOha9hVqtRuiggQgdNJCjOmTm4eGB6tWrA+Au3NZ29+5dHDp0CAA4DUrGWFgQkV0wLT27dOlS2e50Gx4ejvr16+POnTsoW7YsoqOjUbVqValjQafTYfrsOZg+ew6LeaIsYp+FbZimQdWtWxdFixaVOI19MBqNuBt3D3fj7slmcRMWFkRkFxo3bowKFSogJSUFixcvljpOlq1atQrNmzdHUlIS6tevj0OHDqF48eJSxwLwfCWfpKRkJCUl5/iVfIgs7cXCgv9+rIeb4r1Mr9dj0dJlWLR0GfR6vdRxMoWFhYXpdDosW7ESy1as5JVBoiwQBAFDhw4F8Hw6lFxWwhJFEZMmTUK3bt2g0+nQsWNHhIWFIV++fFJHoyzQ6XRYuGQpFi5ZyvduyqBevXpQq9W4desW/v77b6nj5Ej37t1DZGQkAE6DkjsWFhYmiiJu3rqNm7du88oGZYtKpULv4J7oHdzTYfb66N69O/Lly4cbN25gy5YtUsd5K4PBgCFDhuCLL74AAAwbNgxr1qyBs7OzxMkoq0RRRNy9eMTdi+d79xsoFArUqFYNNapVc5jNTd3c3FCnTh0AnA5lLevXr4coiqhTpw68vb2ljkPZ4BjvCkQypFAoUNSrCIp6FXGYD3BXV1f06dMHgP0vPfvs2TN89NFHmD17NgRBwC+//IJffvnFYf5fkWNSqVRo1aIZWrVo5jAXPAAuO2tt3BQv5+AnIElCEAT4+njD18ebSztSBoMGDYJSqURERAROnz4tdZxXSkxMROPGjbFp0yY4OTlhzZo1GDZsmNSxiMhK2GdhPffv38eBAwcAsLDICVhYkCTUajV6du+Gnt27cWnH1zAYDIg6fARRh4/Ipt/AEry9vdGhQwcAwIwZMyRO87Jr166hbt26OHz4MPLmzYuwsDA2G5LDEEURKSnPkJLyzKG+YNepUwfOzs64f/8+Lly4IHWcHGXDhg0wGo2oWbMmfH19pY5D2cTCgshOGQwG7NkXjj37wh2qsAD+XXp25cqVSExMlDjNv44dO4a6deviypUr8PX1xaFDhxAQECB1rLcSBAGeBQrAs0ABjhBStuh0OkydPgNTp89wqCZ3Jycn1K9fHwCnQ1maaVM8XqDJGVhYEJHdqVu3LqpVq4a0tDTMnz9f6jgAgG3btiEoKAgPHjxA1apVER0djXLlykkdK1PUajUG9A3BgL4hHCEkekfcz8LyEhISEBERAYDToF5FqVSiQf16aFC/HnfedmRqtZof3m+h1WoxZdp0TJk2HVqtVuo4ZGcEQTCPWsyZI/2mbvPnz0e7du3w7NkzNG/eHPv370eRIkUkzUSW5+riAlcXF6ljkJ0yFRYRERGy2azM3pmmQVWvXh0lSpSQOo7dUSqVCGoQgKAGASwsHJVGo8HYUSMwdtQIaDQaqePYtWepqXiWmip1DLJTnTt3RqFChXD37l2sW7dOkgyiKOKrr75Cv379YDQa0atXL2zZsgW5c+eWJA9Zj0ajwchhoRg5LJTv3fRK1atXR+7cufHo0SOcOnVK6jg5AjfFy3lYWBCRXXJyckL//v0BSLP0rFarRXBwML7//nsAwNdff41FixbJcjRSp9Nh7vyFmDt/oeSjP0RypVKp0KBBAwCcDmUJiYmJ5t8jp0G9miiKeJCQgAcJCbJZLIGFBRHZrf79+0OtVuPw4cM4evSozc6bnJyMNm3aYPny5VAqlVi4cCG++eYb2TY+i6KIhMREJCQmyubDicgesc/CMo4cOYLOnTvDYDCgatWqKFWqlNSR7JJOp8O8BYswb8Ei2VwUYmFhYXq9HqvWrMWqNWuh1+uljkMka4ULF0aXLl0A2G7UIi4uDg0aNEBYWBjc3NywZcsW9O7d2ybnJunodDosW7ESy1aslM0HONmeqbA4cOAA/568gyNHjqBVq1aoU6cOIiMjMeGHifiw48fstcxBWFhYmNFoxNVr13D12jU2d1G2qFQq9Oj2CXp0+8Shdrj9L1MT959//om4uDirnuvcuXOoU6cOTp06hUKFCmH//v1o2bKlVc9J9kEURdy8dRs3b93mqM4bKBQK+FWqCL9KFR1yl/nKlSsjX758ePr0KY4fPy51HNl4saDYsWMHlEolunfvLnUssgLHe1cgkgmFQoHivr4o7uvrkB/gJtWrV0e9evWg1+sxb948q51n//79qF+/Pm7fvo0yZcogOjoa1atXt9r5iORIpVLhg7Zt8EHbNg55wUOhUKBhw4YAOB0qMw4fPoyWLVtmKCh69eqFS5cuWfX9nKTjuN9WSFKCIMCrSGF4FSks23nrZDumUYt58+YhLS3N4sdfs2YNmjVrhsePH6Nu3bo4dOgQlz4kolcyTYcKDw+XOIn9MhUU/v7+2LlzZ4aCYvHixeypyMFYWJAk1Go1QnoFI6RXsCxX2bEFg8GAY8dP4NjxEw638/Z/ffjhhyhWrBgSEhLwxx9/WOy4oijil19+QZcuXaDVatG+fXvs2bMH+fPnt9g5iHISURSh1Wqh1WoddsqYqbA4dOiQVS50yBkLCmJhQWSnDAYDduwOw47dYQ5fWKjVagwaNAjA8yZuS3yhMRgMGDZsGEaMGAEAGDJkCNauXQuXHLhBmiAIcHfPA3f3PBwhpGzR6XT4acov+GnKLw7bvFymTBkULlwYaWlpOHz4sNRx7AILCjJhYUFEstCnTx+4uLggNjYWkZGR2TpWamoqOnfubF5pasqUKZg+fbpsdjbNKrVajdBBAxE6aCBHCImySRAELjv7/6Kjo9GiRYsMBcVnn33GgsJClEol/GvXgn/tWrL5fGJhQZLQ6XSYPnsOps+e47BXvShr8ufPb15FJDtLz/7zzz9o2rQp1q1bB41Gg9WrV2PEiBG8kk9Qq9UsvChTHL2wMBUUdevWxa5du8wFxeXLl7Fo0aJMFRQKhQKlS5VC6VKlHHqBkjdRKpVo2rgRmjZuJJvCwvGWdLAyjUaD8ePGSB3D7omiiKSkZPNtoswYOnQoFixYgI0bN+LGjRsoXrx4ll7/999/o2XLlrh06RI8PDywceNGBAYGWicsyYpGo8HYUSOkjkEyYSosjhw5gqdPnyJXrlwSJ7KN6OhoTJgwAbt27QLw/Itvz5498eWXX6JkyZJZOpZKpULXzp2sEZMkxBKRiGSjYsWKaNy4MYxGI2bPnp2l1544cQL+/v64dOkSvL29cfDgQYcpKnQ6HRYuWYqFS5ZyhJDIAkqUKIHixYtDr9fj0KFDUsexuujoaDRv3vy1IxRZLSooc0RRxOPHj/H48WPZXIRlYUFEsmJaenbhwoVISUnJ1Gt27NiBwMBA3L9/H35+fjh8+DAqVKhgzZh2RRRFxN2LR9y9eNl8OBHZO0eYDvViQbF7924olUr07t2bBYWN6HQ6zJgzDzPmzJPNRSEWFham1+uxdv0GrF2/AXq9Xuo4RDlO69atUapUKTx+/Bi///77W5+/aNEitG3bFikpKWjSpAkOHDgALy8vGyQlOdHr9Vi1Zi1WrVnL927KlJy8UV5UVFSGgkKlUpkLioULF1qkoNBqtZg4eSomTp4KrVZrgdRkD1hYWJjRaMSFi5dw4eIlGI1GqeOQjKlUKnT5uCO6fNzRIXe4fR2FQoEhQ4YAAGbMmPHaK/CiKOLrr79GSEgIDAYDevTogW3btiFPnjy2jEsyYTQacfXaNVy9do3v3W+gUChQrmwZlCtbxuEbbk2FRUxMDB49eiRxGsswFRT16tXLUFBcunTJYgXFi3Q6nWyuxFPmOPa7ApEdUygUeL90abxfurTDf4D/V3BwMHLlyoULFy4gLCzspcd1Oh169+6Nb7/9FgDw5ZdfYunSpdBoNLaOSpSjqFQqdOrQHp06tHf4Cx5FixZFmTJlYDQaceDAAanjZEtUVBSaNWuWoaAICQmx6AgFOQZ+WyFJCIIAzwIF4FmgAJf5pCxzd3dHr169ALy89OyTJ0/Qtm1bLFmyBAqFAvPmzcP333/Pv2dEZHFy77N4saAICwvLUFAsWLAAJUqUkDoiyQwLC5KEWq3GgL4hGNA3hOvGv4bBYEDs6dOIPX3a4XfefpUhQ4ZAEARs374dly9fBgDcu3cPgYGB2LVrF1xdXbFp0yb069dP4qRElFPJtbA4dOgQCwqyChYWRHbKYDBg89bt2Lx1OwuLV3jvvffQqlUrAMDMmTNx4cIF+Pv74+TJk/D09ER4eDjatGkjcUr74eriAlcXF6ljkMxptVp8++NP+PbHn9hwCyAoKAgAcPbsWTx48EDaMJlgKijq16/PgoKsgoUFEcmWaenZJUuWoF69erh58yZKly6N6Oho1KpVS+J09kOj0WDksFCMHBbKPhMiCypQoAD8/PwAABEREdKGeYNDhw6hadOmGQqKPn364MqVKywo7JhCoUCNatVQo1o12fRayiMl5Tg6nQ5z5y/E3PkLuSIEvbMmTZqgfPnySElJwaNHj1CnTh1ERUWhVKlSUkcjIgdhz8vOHjx40FxQ7NmzJ0NBMX/+fBQvXlyybIIgwNfHG74+3uyBew2VSoVWLZqhVYtmslksQR4pZUStVmPMyOHm2/RqoigiITHRfJvoXQiCgDFjxuDv23cBAEMHDYCHu7vEqUiONBoNxo8bI3UMkqFGjRrh119/tavC4uDBg5gwYQL27NkD4PkX1F69emHcuHGSFhMvUqvV6Nm9m9QxyMI4YmFhgiBAo9FAo9GwAieygc6dO5tvs4fg1XQ6HZatWIllK1ZyhJDIwho0aACFQoErV67g9u3bkmY5ePAgmjRpgoCAALsboaCsE0URKSnPkJLyTDYXYVlYEBHlcKIo4uat27h567ZsPpyI5MLd3R01atQAAISHh0uS4cWCYu/evVCpVOjbty8LCpnT6XSYOn0Gpk6fIZuLQiwsLEyv12PTlq3YtGUr9Hq91HGIiCgT9Ho91q7fgLXrN/C9m7JMqmVnIyMjX1tQ/Pbbb3ZdUGi1WkyZNh1Tpk3nCmM5CAsLCzMajTh15ixOnTkLo9EodRySMZVKhY7tP0TH9h/KpmmLSK6MRiMuXLyECxcv8b37DRQKBUqXKoXSpUrJZpUaWzAVFuHh4TYZFTQVFA0aNMhQUFy9etXuC4oXPUtNxbPUVKljkAXx2wqRnVIoFChfrqzUMYiIzFQqFbp27iR1DLtTr149qNVq3Lp1C9evX7faynSRkZH45ptvzCMjarUan332GcaOHQtfX1+rnJMoK3i5gSQhCALc3fPA3T0Pm9yJiEjWXF1dUadOHQDWmQ4VGRmJxo0bo0GDBti3bx/UajX69euHK1euYN68eSwqyG5wxIIkoVarETpooNQx7JrRaMTFS5cBAGXLvM9pB69hmpphuk1EJIVGjRohMjIS+/btQ58+fSxyzAMHDmDChAkcoSDZ4KcwkZ3S6/X4a8NG/LVhI5tJ38A0NaNr507sRXkDtVrNvXUo27RaLSZOnoqJk6ey4fY/Xmzgzm6fxYEDB9CoUSMEBgZyhIJkhZ/CREQ5nEajwdhRI6SOQTmEXJa9tLXatWvDxcUFDx48wPnz51GhQoUsH+PAgQP45ptvzMvWqtVq9O7dG2PHjoWPj4+lI5OdUygU8KtU0XxbDlhYkCRMG3YBQM/u3XgllYiIZM3JyQn169dHWFgY9u3bl6XCYv/+/ZgwYYJDFRSCIMCrSGHzbXqZSqXCB23bSB0jS1hYWJharcaI0KHm2/Rqoigi7l68+TbRu9JqtZg6fSYAYEToEGg0GokTkRyp1WqMGTncfJvoXTRq1AhhYWEIDw/HkCFD3vp8RywoTNRqNUJ6BUsdgyyMhYWFCYIANzdXqWMQORROzXgzvV6PP9dtAAB8/FF79qK8giAILEop20x9FhERETAYDFAqla983v79+/HNN98gIiICgGMVFJR5oiiaP9/UarUsRnb46UJElMMZjUZcvXbNfJuIrKNatWrInTs3Hj16hFOnTqFatWoZHn9VQRESEoIxY8awoKCX6HQ6/DTlFwDAmJHDZXHxQx6dIDKi1+uxfedubN+5myv5EBHJhF6vx6YtW7Fpy1a+d9M7U6lUCAwMBJBxP4uIiAg0bNgQQUFBiIiIgFqtxoABA3D16lXMmTPHIYsKnU6H6bPnYPrsORx1zkE4YmFhRqMRx2NiAABNGgVJG4ZkTalUol2bVubbRGQ9RqMRp86cBQC0bN5M4jT2SxAE+Pp4m2/Tyxo1aoStW7di3759qFGjBiZMmPDSCMXYsWPh7e0tbVCJiaKIpKRk823KGVhYENkppVKJKpUrSx2DiMhMrVajZ/duUsewa6Y+ix07dmDHjh0Ani/5bJry5OgFBeVsLCxIMq4uLlJHICIisqhKlSrB09MTCQkJLCjI4bCwIEloNBqMHBYqdQy7ZjQacfX6dQBA6ZIlZbM5jq1xagYR2RO9Xo/Bnz9furh7l84oWbKExImIbIeFBZGd0uv1+OPPvwDIZzUIKXBqBpHtaLVazJg9FwAwdNAAvi+9RbFiRaWOQGRTLCyIiHI4jUaD8ePGSB2DcohnqalSRyByCAqFAuXKljHflgMWFiQJnU6HVWv+BAB07fwxd7olIiJyIIIgwLNAAfNteplKpUKnDu2ljpElLCwsTK1WY+jA/ubb9GqiKOLmrdvm20TvilMzyBLUajVGhA413yYi61Kr1RjQN0TqGGRhLCwsTBAEeHh4SB2DyKFwasab6fV6bNi8BQDQvl1bqFR86/8vQRDg5uYqdQwiIlmzyYSt2bNno3jx4nB2dkbt2rVx9OjRNz5/7dq1KFu2LJydnVGpUiVs377dFjGJiHIko9GICxcv4cLFSzAajVLHISKiTNBqtfj2x5/w7Y8/QavVSh0nU6xeWKxZswbDhw/H119/jZiYGPj5+aF58+Z48ODBK58fFRWFTz75BL1798bJkyfx4Ycf4sMPP8TZs2etHdUiDAYDwvbuQ9jefTAYDFLHISKiTNDr9di+cze279wNvV4vdRySMYVCgdKlSqF0qVKyabiVgk6nw9z5CzF3/kLodDqp45CFWP1v/C+//II+ffqgV69eKF++PObNmwdXV1csXrz4lc+fPn06WrRogVGjRqFcuXL47rvvUK1aNcyaNcvaUS3CYDAg+shRRB85ysKCskWpVKJls6Zo2awplEql1HGIcjSj0YjjMTE4HhPDUZ03EAQBXkUKw6tIYTbcvoZKpULXzp3QtXMnTjt8A1EUkZCYiITERPZa5iBW/Ruv1Wpx4sQJjB071nyfQqFAkyZNEB0d/crXREdHY/jw4Rnua968OTZu3PjK56enpyM9Pd385+Tk5OwHJ7IDSqUSNWtUlzoGEZGZWq1GSK9gqWMQkZ2y6ohFYmIiDAYDChUqlOH+QoUKIT4+/pWviY+Pz9LzJ06cCHd3d/OPt7e3ZcKT1anVaq6+QkRERJRDyH6MbuzYsRlGOJKTk1lcyIBGo8HYUSOkjmHXjEYjbt1+viSvj7c35+q+hmlqhuk2EZGUtFotpk6fCQAYETqES2CTQ7FqYVGgQAEolUrcv38/w/33799H4cKFX/mawoULZ+n5Tk5OcHJyskxgCzt+4gTq+vtLHYNkSq/XY/nK1QCAMSOH88PpNTg1g8h2dDod5sxfAAAY2LcPR51fg83I5KiseglUo9GgevXq2Lt3r/k+o9GIvXv3wv81X7j9/f0zPB8AwsLCXvt8e6PRaHDm5Al8/eVY7NyxQ+o4RERQq9UYM3I4xowczi+ClC2iKCIpKRlJSclsuCWyMjmuMGb1lMOHD8eCBQuwbNkyXLhwAQMGDEBKSgp69eoFAOjRo0eG5u7Q0FDs3LkTU6dOxcWLF/HNN9/g+PHjGDx4sLWjWkzr1q0BANu2bZM4if3S6/VYtWYtVq1Zy6UdiaxMEARoNBpoNBpOFyMiuyAIAtzd88DdPQ/fl15DjiuMWT1l586dkZCQgPHjxyM+Ph5VqlTBzp07zQ3at27dylCF1a1bF6tWrcL//vc/jBs3Du+99x42btyIihUrWjuqxbRs2RIAEBMTg3v37qFIkSISJ7I/RqMRV69dM98melecmkGWoFarMXRgf/NtIrIutVqN0EEDpY5BFmaT8mfw4MGvHXGIiIh46b5OnTqhU6dOVk5lPYUKFULNmjVx7NgxbN++Hb1795Y6ElGOZZqaYbpNL9Pr9di2YycAoHXLFrK58mVLgiDAw8ND6hhERLImjwlbMsTpUERkL4xGI06dOYtTZ85yhJCISCa0Wi0mTp6KiZOnQqvVSh0nU1hYWImpsAgLC8uwgR8REdkfg8GAsL37ELZ3HwwGg9RxSMYEQYCvjzd8fbzZO/AGOp0OC5csxcIlS7mK1hvodDpZ/X44Hm4l1apVQ6FChXD//n1ERkaiSZMmUkcimVEqlWjSqKH5NhFZj8FgQPSRowCAwID6/Df3GoIgwLNAAfNteplarUbP7t2kjmH3RFFE3L14823KGVhYWIlCoUCrVq2wZMkSbNu2jYUFZZlSqUTdOrWljkFEZKZWqzGgb4jUMYjITnEqlBWxz4KIiIiIHAVHLKyoadOmUKvVuHLlCq5cuYL33ntP6kh2Q6PRYPy4MVLHsGtGoxH34p/vQl+kcCHZbI5ja5yaQUT2RKvVYsbsuQCAoYMGQKPRSJyIyHb4TcWK8uTJg4CAAADA9u3bJU5DcqPX67Fo6TIsWrqMmwi+gWlqxoC+Idx/gMjKdDod5s5fiLnzF8qqodTWnqWm4llqqtQxiGyOhYWVtWrVCgCnQxGRdNRqNUaEDsWI0KEsvihbRFFEQmIiEhIT2XBLZGVyXGGMhYWVmfos9u/fj6dPn0qcxn7o9XqsXb8Ba9dv4NV4IisTBAFubq5wc3OVzYcTEeV8ri4ucHVxkTqG3TKtMNazezfZXBRij4WVlSlTBiVLlsT169exZ88efPjhh1JHsgtGoxEXLl4CAHzQprXEaUjOnq+FvgwAENKrp2zefMm+qNVq9O/T23ybiKxLo9Fg5LBQqWOQhXHEwsoEQeDqUERWxKkZb6fX67F9525s37mbI4SvIQgCCnp6oqCnJ0d1iIjeEQsLGzAVFtu3b+cXHyKyOaPRiOMxMTgeEwOj0Sh1HCIiygStVosp06ZjyrTp0Gq1UsfJFE6FsoHAwEC4uroiLi4OsbGxqFq1qtSRiIjoBQaDAZGHogAAAfXqcudtemeCIMCrSGHzbXo1nU6HVWv+BAB07fwxpyC+htxWF2NhYQPOzs5o0qQJNm/ejG3btrGwoExRKpVoUL+e+TYRWY/BYMCBg4cAAHXr1Oa/udcQBAHu7nnMt+llarUaIb2CpY5h90RRxM1bt823KWfgVCgbYZ8FZZVSqURQgwAENQjglxwisgtqtRqhgwYidNBAXmEmopewsLAR034WR44cQUJCgsRpSC4ePXqEa9euSR2DiIiI6K1YWNhIsWLF4OfnB1EUsWvXLqnjSE6tVmPMyOEYM3I4r3q9hiiK6NipE+rXD+DfmTcwTc1wd8/DqRlEJDmdTofps+dg+uw53J2cHA4LCxvidKh/CYIAjUYDjUbDL4OvcenSJezbuxfx8fcQHBzMka7X4NQMItt5vm/MUixcspRfml9DFEUkJSUjKSmZvQPkcFhY2JBpOtTOnTu5ljy91YYNG8y34+Pj8dlnn/FDit6JWq3G0IH9MXRgfxZflC2iKCLuXjzi7sXz/YjIykwrjHkVKSybi7AsLGyoTp06yJcvHx4/fozo6Gip40hKr9dj05at2LRlK4us1zAVFoMGDYKTkxO2bt2KOXPmSJyK5EgQBHh4eMDDw0M2H05ElPOp1Wpe7HgD0wpjIb2CZfN7YmFhQ0qlEi1atADA6VBGoxGnzpzFqTNnuWHXK9y+fRvHjh2DIAj46quv8PPPPwMARowYgbNnz0qczr5wagZZgkqlQu/gnugd3BMqFVdiJ7I2jUaDsaNGYOyoEdBoNFLHIQthYWFj7LOgzNi4cSMAoF69eihUqBCGDh2Kli1bIj09HZ988glSZbZhjjVxasbbGQwGLFuxEitWrYbBYJA6jl1SKBQo6lUERb2KQKHgRyMR0bvgu6eNtWjRAgqFAmfPnsWtW7ekjkN2av369QCADh06AHg+lWXJkiUoWLAgzp49iy+++ELKeCQze/fuxc1bt3H9xk08efpU6jhERJQJclxhjIWFjeXLlw/+/v4AOGpBr5aYmIgDBw4AANq3b2++v1ChQli6dCkAYObMmfz7Q5kSFxeHTz/9FF9/ORZffzkWZ8+ckTqSXTIYDIg6fARRh49wVIeyRRAEeBYoAM8CBdjT9AZ6vR6r1qzFqjVr2Wv5GnJcYYyFhQQ4HYreZPPmzTAajahatSqKFy+e4bGWLVsiNDQUANCrVy/Ex8dLkJDkQq/Xo0uXLnjw4IH5PkdfOOJ1DAYD9uwLx5594Sws3iBdq4XRaIAgCPw9vYZarcaAviEY0DdENg23UjAajbh67RquXrvGXsschIWFBEyFxb59+zhXnl5iWg3qxdGKF/3000+oXLkyEhIS0LNnT74h02t9+eWXiIyMRO7cudGnTx8AwOHDhyVORXK2a+dOTPjqfxg/bgzq1auHo0ePSh2JiOwICwsJVKpUCcWKFUNqairCw8OljkN25MmTJ9i9ezeAf/sr/svZ2RmrV6+Gs7Mzdu/ejenTp9syIsnE5s2bMWnSJADA4sWL8emnnwJ4PmIhlyF1sj9RUVHm2ydPnkSdOnXQv39/PHr0SMJURGQvWFhIQBAE86jF9u3bJU4jDbVajRGhQzEidCiHil+wfft2aLVavPfeeyhfvvxrn1e+fHn88ssvAIAxY8YgNjbWRgntk6uLC1xdXKSOYTdu3LiBnj17AgCGDh2Kjh07onr16lCpVLh37x5u374tcUKSK9NUuilTpqBnz54QRRG//fYbypQpg2XLlrFoxfOG27nzF2Lu/IWyabglshQWFhJ5sc/CEd+IBUGAm5sr3Nxc2dz2AtM0qA4dOrz199K/f3+0a9cOWq0Wn3zyCZ49e2aLiHZHo9Fg5LBQjBwWyrXQAaSnp6NTp054/PgxateujcmTJwMAXF1d4efnB4B9FvRu0tPTERMTAwD44IMPsHTpUuzfvx/ly5dHQkICgoODERgYiHPnzkmcVFqiKCIhMREJiYkO+flOjo2FhUQaNWoEJycn3LhxAxcuXJA6DtmBtLQ0c0P/6/orXiQIAhYtWoQiRYrg4sWLGD58uLUjkgyMGDECx48fR758+fDnn39mKLbq1KkDgH0W9G5iYmKg1WpRoEABlCpVCgDQoEEDxMbG4ueff4arqysiIyNRpUoVjB49Gk+5tDFRtshxhTEWFhJxc3NDUFAQAMdcHUqv12P7zt3YvnM3l5n7f3v37sXTp09RtGhR1KxZM1OvKVCgAJYvXw4A+O2338wb65FjWrNmDWbPng0A+P333+Hj45PhcdNS1xyxoHdh+nvj7++f4UuOWq3G6NGjceHCBbRv3x56vR6TJ09G+fLlsWHDBl61J3pHclxhjIWFhBx52Vmj0YjjMTE4HhPDVY3+n2lTvPbt22dp598mTZpg1KhRAIDevXvj7t27Vslnr3Q6HZatWIllK1Y69HzmS5cuISQkBAAwduxYtGrV6qXnmEYsTp48ifT0dJvms3cqlQo9un2CHt0+gUqlkjqOXXqxsHgVHx8frF+/Hlu2bEHx4sVx+/ZtdOjQAW3atMH169dtGZVkQKPRYPy4MRg/bgynsb5BbGwsUlJSpI6RaSwsJGQqLA4ePIjHjx9LG4YkpdfrsXnzZgCZmwb1X99//z2qVauGhw8fokePHg5VrImiiJu3buPmrdsOe2X02bNn6NixI54+fYrAwEB8++23r3xeyZIl4enpCa1Wa54rT88pFAoU9/VFcV/fLBX2juRthYVJmzZtcO7cOXz55ZdQq9XYvn07KlSogO+//54FLVEWPH78GC1btkSFChVw8eJFqeNkCt89JVSyZEmULVsWBoPBvMQoOaaDBw8iMTER+fLlQ4MGDbL8eo1Gg1WrVsHV1RX79u3DlClTrJCS7NWgQYNw9uxZFCpUCKtXr37tFXdBENhnQe/k9u3buHv3LpRKZaamarq6uuL777/HmTNn0KhRI6SlpeGrr75C5cqVsWfPHhskJpK/sWPHIj4+Hk5OTi9tmGuvWFhIzJGnQ9G/TKtBtWvX7p2nYZQpUwYzZswA8HxjtOPHj1ssH9mvxYsXY+nSpVAoFPjjjz9QpEiRNz6ffRavZjAYcOz4CRw7foI7Sr+C6e9L5cqV4ebmlunXlSlTBnv27MGqVatQuHBhXL58GU2bNsUnn3yCe/fuWSuupARBgLt7Hri755FNw60U9Ho91q7fgLXrN7DX8hUOHTqEefPmAQDmz58PZ2dniRNlDgsLiZkKix07djjU9BX6lyiK5v6K122Kl1mfffYZPvroI+j1enTt2pWrsuRwp06dwqBBgwAA3333nXlBiDfhiMWrGQwG7Ngdhh27w1hYvEJmp0G9iiAI+OSTT3Dx4kUMHTrUXASbLobktC+VarUaoYMGInTQQNk03ErBaDTiwsVLuHDxEr///IdWq0Xfvn0BPP9cDwwMlDhR5rGwkFj9+vWRJ08eJCQk4NixY1LHIQkcP34cd+7cgZubG5o2bZqtYwmCgPnz56NYsWK4cuUKQkNDLZSS7E1ycjI6deqEtLQ0tGzZEmPGjMnU62rWrAmFQmGe2kKUGdkpLEzc3d0xffp0HDt2DLVq1cKTJ08QGhqKmjVrstAlesHkyZNx/vx5eP5fe3ceFlX9vg/8PrMBsrqg4L6LC4gsmktmuYBrlkuapqa5ZWZqlrZou1ZqZuZClloupfZxDRXcUktRUcQFEJVcUMQVZB1m+f3Bb+aLpcgyM2fOmft1XVxXITPnrgjmmfM878fb27yLSCpYWIhMrVajW7duANgO5ahMbVA9evSwyK3OSpUqYfXq1RAEAT/99BM2bNhQ7uck+2I0GvHaa68hOTkZtWrVwi+//FLigWM3Nzf4+/sD4F0LKpm8vDzzsH95CguToKAgHD58GMuWLUPFihURFxeHdu3aYezYsbh79265n59Iys6fP49PP/0UALBgwQJUqlRJ5ESlw8LCDpjaoSIjI0VOYjtqtRpvvj4Ob74+zuFvFRc9ZtZSnnnmGcyYMQMAMGbMGFy5csViz22P1Gq1Q30fLVq0CBs2bIBarcb69etRuXLlUj3e9OKQhQWVxMmTJ1FQUABvb2/Ur1/fIs+pUCgwZswYJCYmYsSIETAajYiIiECTJk2wYsUKSbfGFBQUYPmKlVi+YqVDH4FNpWc0GjFu3Djk5+ejW7duGDx4sNiRSo2FhR3o3r07ACA2Nla2w2z/JggCvLy84OXl5dDDbQkJCUhKSoJGozEXmJby0UcfoXXr1rh//z6GDh0q275xjUaDGdOmYsa0qQ5xFnpMTAymTp0KoPB2uWlmojRMj+EAN5XE4xbjWULVqlWxYsUKHDhwAM2bN8ft27fNPeWnT5+26LVsxWg04vqNNFy/keawR2BT2axatQr79u2Di4sLlixZIsnXRyws7EC1atUQEhICoHCImxyH6W5F586d4eHhYdHnVqvVWLt2Ldzc3HDw4EHMnj3bos9Ptnfnzh0MHDgQBQUF6NevH958880yPY/pjkVsbCy0Wq0lI5IMWWK+4kmefvppnDx5El9//TVcXV1x6NAhtGrVCtOmTeMhFOQQbt26ZX7T6KOPPrLY3UFbY2FhJxzt2Fm9Xo/oPXsRvWevbN9JLwnTfEV5T4N6nAYNGuD7778HUPiDiq0v0mUwGDBs2DBcuXIFDRs2xI8//ljmd7MaNWqEihUrIi8vD6dOnbJwUpIbWxQWQOGbIW+//TYSEhLw4osvQq/XY+7cuWjatCl+//13vvtPsjZ16lTcvXsXLVu2xOTJk8WOU2YsLOyEqbCIjo52iHcQ9Xo9DsccxeGYow5bWFy+fBmxsbFQKBTo06eP1a7zyiuvYPDgwdDr9Xj55ZeRmZlptWuJQafTYe1vG7D2tw2yO7ayqK+++gqRkZFwcnLChg0b4OnpWebn4qK8/1KpVBg0sD8GDexf5l0yclR0MZ7pzrq11apVC7///jv++OMP1K9fH9euXUP//v3Rs2dPXLx40SYZyPrUajWmvz0F09+e4lAzco8SHR2NX375xXyyo5T/fbCwsBPBwcGoVq0aHjx4gIMHD4odh2xg8+bNAAqPHK5atarVriMIApYsWYK6desiJSXFvPdALgwGAy5cvIgLFy9KeuCzOH/++Sfef/99AIWD24GBgeV+Ti7Ke5hCoUDjhg3RuGHDEp+w5QjKuhjPEnr06IEzZ87gww8/hEajwY4dO9C8eXN88sknyMvLs2kWsjxBEKDRaKDRaCQ5S2ApOTk5GDduHABg4sSJaN26tciJyoc/Pe2EQqEwD3E7SjuUo7PUUryS8PT0xOrVq6FQKLB69WqsWbPG6tcky0hLS8OgQYPMrVCjRo2yyPPyjgWVhK3aoB7HxcUFn3zyCU6fPo0uXbogPz8fs2bNQkBAAKKjo0XJRGRJn376KS5duoSaNWvis88+EztOubGwsCOONmfhyNLT03Ho0CEAQN++fW1yzfbt22PmzJkAgPHjx+PSpUs2uS6Vnal9LS0tDc2bN8fixYst9s5e69atIQgCUlJScPPmTYs8p5Tp9XrExccjLj7eYdszH0XswsKkcePGiIqKwq+//gpfX18kJyejW7dueOmll3D9+nVRsz1KBRcXVHBxETuGXdPpdNiybTu2bNsu6zbW4sTHx2Pu3LkACu9Gu7u7i5yo/FhY2JGuXbtCpVLh/PnzuHDhgthxyIq2bt0Kg8GA4OBg1KlTx2bXff/999G+fXs8ePAAQ4cOddgf5lLx0UcfYd++fXB1dcWGDRss2ori6emJZs2aAeBdC6CwsNi6PRJbt0eysPj/LL0Yr7wEQcBLL72ExMRETJo0CQqFAuvXr4efnx8WLFhgNz/PNBoN3p48CW9PnuQQR2CXlcFgwKnTZ3Dq9BnZtrEWR6/XY8yYMdDpdHjxxRfx/PPPix3JIlhY2BFPT088/fTTAHjXQu6ssRSvJFQqFVavXg0PDw8cPnzYvN2T7M/OnTvNt8V/+OEHNG3a1OLX4JwFFefEiRMWX4xnCR4eHliwYAFiY2Px1FNP4cGDB5g8eTJCQkL4vUySsXTpUsTExMDd3R0LFy4UO47FsLCwM2yHkr+MjAzs2bMHgG3mK/6tbt26WLZsGQDgs88+42EBdujq1asYOnQogMK2NWttX+WcBRXHmovxLCEwMBB//fUXIiIiULFiRZw6dQrt2rXD6NGjcefOHbHjET1WamoqZsyYAQCYM2cOatSoIXIiy2FhYWdMhcWff/4p66VAarUa40aPwrjRoyR9rFpZREZGQqvVokmTJlZ5F7okBg0ahGHDhsFgMGDo0KG4f/++KDnov7RaLQYOHIg7d+4gODgY33zzjdWuZbpjcezYMbtpIyH7YS/zFcVRKBQYPXo0kpKS8OqrrwIAli9fjiZNmuCnn34SpcWmoKAAq1avwarVa1BQUGDz65P9mzhxIh48eICnnnrKfCKUXLCwsDNNmjRB/fr1odVqze9qy5EgCKjq7Y2q3t52+U6YNVl7KV5JLVq0CPXr18eVK1cwduxYyS6f0mg0mPnedMx8b7os+pnfffddHDlyBJ6entiwYQOcnJysdi0/Pz94enoiJycHp0+fttp1SHqMRqMkCgsTb29v/PTTTzh48CBatGiBO3fuYNSoUXj66acRHx9v0yxGoxGXr1zF5StXJftzlaxn8+bN2LRpE1QqFSIiImR3vLW8/mlkQBAE9OjRAwDboeQoNzcXkZGRAMQvLNzd3bFu3TqoVCqsX78eq1atEjUPFc7eLFiwAACwatUq1KtXz6rXUygUaNOmDQDOWdDDrl69iuvXr9t0MZ4ldOjQASdOnMDcuXPh6uqKv//+G0FBQZg6dSoePHggdjxycJmZmXjjjTcAANOmTYO/v7/IiSyPhYUdMrVDRUZGyvbdDr1ej/0HDmL/gYMOdQLL7t27kZ2djVq1aiE4OFjsOGjdujU+/vhjAMAbb7yB5ORkkRM5rgsXLphbOd5++22bnRDCOQt6FFOh2bJlS5svxisvtVqNqVOnIjExEf3794der8f8+fPRtGlTbNy4Uba/V8n+ffDBB0hNTUWDBg3w4Ycfih3HKlhY2KFOnTqhQoUKSE1NxalTp8SOYxV6vR4HDv2FA4f+cqjCouhpUPbSAvbuu+/imWeeQXZ2Nl5++WVotVqxI5WKTqfDhv9twob/bZLsnEBubi4GDBiAzMxMdOjQAV988YXNrm1qc3H0wkKlUqH/C33R/4W+UKlUYscRnen7QQptUI9Ts2ZNbNiwAZGRkahfvz5SU1MxYMAAdO/enUe62wG1Wo2pk97E1ElvOsSsZUxMDBYtWgSg8EQoF5nuOWFhYYecnZ3RuXNnAGyHkhOdToetW7cCsP0xs8VRKpX45ZdfULFiRRw/fhyzZs0SO1KpGAwGJCQmISExSbJnoU+aNAlxcXHw9vbGr7/+atNfsqZWqOTkZNy+fdtm17U3CoUCzZr6oVlTP9n1PJeFlOYrnqR79+44c+YMZs6cCY1Gg127dqFFixb4+OOPkZeXJ3Y8hyUIAlxdK8DVtYLdvNFmLQUFBRgzZgyMRiNeeeUVdOnSRexIVsOfnnaKx87Kz4EDB3D37l1UqVIFHTp0EDvOQ2rVqoUffvgBAPDll19i3759IidyHL/88gt++OEHCIKANWvW2PzYwYoVK8LPzw9A4TtqRPa2GM8SXFxc8PHHH+PMmTPo2rUr8vPz8dFHH6FFixbYtWuX2PFI5r755hvEx8ejcuXKmDdvnthxrIqFhZ0yDXAfOXLEod9FlBNTG1SfPn3sstWiX79+eO2118zvqPAceOs7e/as+ajBmTNnomvXrqLkMM1ZOPIAt8FgwLmERJxLSJTsnS9LMS3Gq1q1qtUPELC1Ro0aYdeuXfjtt9/g6+uLixcvIjw8HAMGDEBqaqrFrqNWqx2ivac8dDodIndGIXJnlGTbWEvi0qVL+OijjwAA8+bNg7e3t7iBrIyFhZ2qVasWAgICYDQasXPnTrHjUDkZDAZs3rwZgPinQRVnwYIFaNy4MVJTUzF69GgOOVpRVlYWBgwYgJycHHTp0kXUQT4OcBe+yNm4aTM2btos6xc5JWHvi/HKSxAEDBw4EImJiXjrrbegUCiwceNG+Pn5Yf78+eX+76/RaDBj2lTMmDZVFkdgW4vBYMDxEydw/MQJ2RbzRqMR48ePR25uLp577jkMGzZM7EhWx8LCjrEdSj6OHTuG1NRUuLm5medn7JGrqyvWrVsHtVqNTZs2Yfny5WJHkiWj0YixY8ciISEB1atXx5o1a6BUKkXLY2p3iYmJcajDFOjR5DRfURwPDw988803iI2NRdu2bZGVlYWpU6ciODgYf/31l9jxSAbWrl2LqKgoODk5YenSpbIs1P+NhYUdMxUWO3fudPh30KTOtBSvZ8+ecHZ2FjlN8YKCgsynEk2aNAmJiYkiJ5KfZcuWYe3atVAqlfjtt99QtWpVUfM0b94cbm5uyMrKwrlz50TNQuIquhjPdCdL7gIDA3Ho0CEsX74clSpVQnx8PDp06IBRo0axFZnK7M6dO5g8eTIA4MMPP0SjRo1ETmQbLCzs2FNPPYVKlSrh/v37sut9VqlUGDViOEaNGG6X8waWZDQaHzpmVgqmTJmCLl26IDc3F4MHD0Z+fr7YkWQjNjYWkyZNAgDMmTPHLgb5lUolWrduDcCx5yxIuovxykuhUGDUqFFISkrCqFGjAAA//fQTmjRpguXLl5eqVUen02Htbxuw9rcNfFPQgU2bNg23bt1C8+bNMW3aNLHj2AwLCzumVCoRHh4OAOZtzXKhUChQo7ovalT3lf3RjufOnUNycjI0Go15KN/eKRQKrFq1CpUrV0ZcXBzef/99sSM9llqtxvS3p2D621Psfljy/v37GDBgALRaLfr06YOpU6eKHcmMcxYESHsxniVUqVIFy5cvx6FDh+Dv74+7d+9i9OjR6NChQ4n3ShkMBly4eBEXLl6U7ewAFW///v1YsWIFACAiIsKhZm3k/YpOBkwvRDlnIV2muxXdunWDu7u7yGlKrnr16vjpp58AFJ5kERUVJXKiRxMEARqNBhqNxq77V41GI1599VWkpKSgbt26WLlypV3lNfXT846FY3OU+Yonad++PU6cOIH58+fDzc0Nhw8fRlBQECZPnozMzEyx45Edy8vLw9ixYwEA48ePR7t27UROZFssLOxceHg4FAoFTp8+jStXrogdx2L0ej3+PhKDv4/If1jUNF8hlTaoovr06YPXX38dADB8+HDcunVL5ETSNX/+fGzevBkajQYbN25ExYoVxY70ENOivMTERNy7d0/kNCQWFhb/R6VSYfLkyUhISMCAAQNgMBiwYMECNG3aFOvXr+epefRIX3zxBc6fPw9fX1/Mnj1b7Dg2x8LCzlWuXNncoiCndii9Xo/de/dh9959si4sUlJScPLkSSgUCvTp00fsOGUyd+5cNGvWDGlpaRg5cqTd/TLV6XTYsm07tmzbbrf9zH/99RfeffddAIVH+gYHB4uc6L+8vb3RsGFDAI65KE+pVKJPrx7o06uHqCd0iSkvLw8nT54EwMKiqJo1a2L9+vXYsWMHGjRogOvXr+Oll15CeHg4kpOTxY4nWWq1Gm++Pg5vvj7O7ttYS+rcuXOYM2cOAGDhwoXw9PQUOZHtsbCQAB47K12m3RUdO3ZElSpVxA1TRi4uLli3bh2cnJywfft2LF68WOxIDzEYDDh1+gxOnT5jl/3Mt27dwksvvQS9Xo/BgwebF+LZI0ees1AqlQgMCEBgQIDDFhaxsbGyXYxnCeHh4Thz5gw++ugjODk5ISoqCi1atMCsWbOQm5srdjzJEQQBXl5e8PLysqu20LIyGAwYM2YMCgoK0Lt3b/Tr10/sSKJgYSEBpsJiz549/OElMab5CnteilcSAQEB+OqrrwAAU6dOxZkzZ0ROJA16vR5Dhw5FamoqmjRpgmXLltn1L1DOWTg2uS/GswRnZ2fMmjULp0+fRlhYGLRaLT755BP4+/tzma2DW758Of766y+4urpi0aJFDvv/EAsLCQgICEDNmjWRm5uL/fv3ix2HSujmzZvmJUt9+/YVN4wFTJw4Ed27d0d+fj4GDx7MIrcEPv/8c0RFRcHFxQUbN260++F90x2LmJgYu7z7Y00GgwHnL1zA+QsXHO6f3YTzFSXXqFEj7NixAxs2bECNGjVw8eJFdO/eHf3798e1a6lix5MEvV6P6D17Eb1nr+Rbom/cuIF33nkHQOHP/dq1a4ucSDwsLCRAEASeDiVBW7ZsgdFoRGhoKGrVqiV2nHITBAErVqxA1apVcebMGfPMAD3a7t278dFHHwEAli5dihYtWogbqAQCAgLg4uKCjIwMJCUliR3HpnQ6HX5dvxG/rt9ot7M61lR0MR4Li5IRBAH9+/dHQkICpkyZAqVSid9//x0BAf6ooFFhxrSpDnXMaGnp9XocjjmKwzFHJV9YvPXWW8jIyEBISAjeeOMNseOIioWFRBSds7C34Vl6NKktxSuJatWqYdWqVQCA7777joXuY6SmpuLll1+G0WjEa6+9hmHDhokdqURUKhVCQ0MBsB3K0Vy9ehU3btyASqVyqMV4luDu7o558+bhxIkTaNeuHbKzszFt2jSEhITg+vXrYscjK/vjjz+wfv16KJVKREREOOyMlgkLC4no3LkznJyc8M8//yAhIUHsOPQE9+/fx969ewFIf77i38LDw82bo1999VWkpaWJnMi+FBQUYNCgQbh16xZatmyJhQsXih2pVEzvVjviALcjK7oYr0KFCiKnkaaAgAAcPHgQP/74IypXroz4+HiEhYXh7t27YkcjK8nKyjIfyT558mS0atVK5ETis2phcffuXQwZMgQeHh7w8vLCqFGjkJWVVexjOnXqBEEQHvqw51NUbMXV1RWdOnUCII92KJVKhWFDBmPYkMFQqVRix7G4P/74AwUFBWjWrBmaNGkidhyLmzNnDgICAnDr1i0MHz7cYXvSH+WDDz7AoUOH4O7ujg0bNsDFxUXsSKVimrPgHQvHwjYoy1AoFBg5ciSOHj0KX19fnDlzBr169UJ2drbY0cgKZs2ahStXrqBOnTrm1ldHZ9XCYsiQITh79iyio6Oxfft2HDhwAGPGjHni40aPHo0bN26YP0yn0Tg6UzuUHPZZKBQK1K1TB3Xr1IFCIb8bZ1JeilcSzs7OWLduHZydnREVFYVvv/1WtCxqtRpTJ72JqZPeFP0s9K1bt5p/Xq1YsQKNGjUSNU9ZmAqLs2fPcsOwA2FhYVn169fHrl274OXlhcOHD+PFF1+EVqsVOxZZUGxsLBYsWAAAWLJkCVxdXcUNZCes9oouISEBO3fuxPLly9GmTRt06NAB3333HX799dcn9hxWqFABPj4+5g8PDw9rxZQU0wD3oUOHkJGRIXIaepzc3Fzs2LEDgPzaoIpq1qwZ5s+fDwCYPn064uLiRMkhCAJcXSvA1bWCqMf7paSkYPjw4QCASZMmSfYMcx8fH9StWxdGoxFHjx4VOw7ZABfjWYe/vz8iIyNRoUIFREVF4ZVXXpH8kDIV0ul0GDNmDAwGAwYNGoTu3buLHcluWK2wOHz4MLy8vB4aAuvSpQsUCsUTt7quWbMGVapUQYsWLTBjxgzk5ORYK6akNGjQAE2aNIFOp0NUVJTYccpFr9fj2PFYHDseK7sftFFRUcjJyUGdOnVk3285btw49OnTB1qtFoMHD3bY/1fz8/MxcOBA3L9/H0899ZTk77I68qI8R1R0MV7dunXFjiMrbdu2xf/+9z+o1WqsX78er7/+Og9gkYGFCxfixIkT8PLyMt+1oEJWKyzS0tJQtWrVhz6nUqlQqVKlYoc9X375ZaxevRr79u3DjBkz8Msvv2Do0KGP/fr8/HxkZmY+9CFnctnCrdfrsSMqGjuiomVXWBQ9DUruC3IEQcCPP/4IX19fJCYmYsqUKTbPoNPpELkzCpE7o0Q7JnTKlCk4fvw4KlWqhN9++03yR0w64qI8pVKJ7t26onu3rg53qgsX41lXWFgYVq9eDUEQEBERgffff1/sSHZBrVZj3OhRGDd6lOhtrKVx+fJlfPjhhwCAr7/+GtWqVRM5kX0pdWExffr0/wxX//sjMTGxzIHGjBmDsLAw+Pv7Y8iQIfj555+xadMmXLx48ZFfP3v2bHh6epo/5LAvoDimwmLHjh0cmLVDBQUF2LZtGwD5zlf8W5UqVfDzzz8DAJYtW4bNmzfb9PoGgwHHT5zA8RMnRPl/4tdff8XixYsBAKtXr5bFYqSidywc5d1VpVKJ0JBghIYEO3RhQdYxcOBALF26FEDh65Z58+aJnEh8giCgqrc3qnp7S6agNRqNmDBhAnJycvD0009j5MiRYkeyO6UuLKZOnYqEhIRiP+rXrw8fHx+kp6c/9FidToe7d+/Cx8enxNdr06YNAODChQuP/PMZM2YgIyPD/HH16tXS/iNJSocOHeDu7o709HQcP35c7Dj0L3/++Sfu3bsHb29vtG/fXuw4NtOlSxdMmzYNADBq1CikpjrG5tmkpCSMHj0aAPDee+/Jps82MDAQTk5OuHv3LpKTk8WOQ1bExXi2M2bMGHzxxRcAgLfffhs//fSTyImotDZs2IA//vgDGo0Gy5Ytk+XhM+VV6n8j3t7e8PPzK/ZDo9Ggbdu2uH//PmJjY82P3bt3LwwGg7lYKAnTQKivr+8j/9zJyQkeHh4PfciZRqNBt27dAEi/HUqOTG1Qzz//vMO96/nZZ58hKCgId+/exbBhw2R/Ry0nJwf9+/dHVlYWOnXqhI8//ljsSBaj0WgQHBwMwHHmLAwGA/65fBn/XL4s++/doq5cucLFeDY0ffp0TJ06FUDhCZim3xmOSK/XY/+Bg9h/4KAkWqLv3buHN998E0Dhm9pNmzYVOZF9slqp1bRpU4SHh2P06NE4evQo/vrrL7zxxhsYNGgQqlevDqBwO62fn5/55JGLFy/i008/RWxsLP755x9s3boVw4YNQ8eOHREQEGCtqJIjlzkLuTEYDOY2IDmfBvU4Go0Ga9euRYUKFbB3717MnTtX7EhWYzQa8frrr+PMmTPw8fHBunXrZLePxdHmLHQ6HX5esw4/r1kn2qyOGLgYz7YEQcDXX3+NkSNHwmAwYPDgwdizZ4/YsUSh1+tx4NBfOHDoL0kUFtOnT8fNmzfRpEkTzJgxQ+w4dsuq93DWrFkDPz8/dO7cGT169ECHDh0QERFh/vOCggIkJSWZT5LRaDTYvXs3unXrBj8/P0ydOhX9+vUz96xTIVO7RWxsLG7cuCFyGjKJiYnBjRs34O7ujueee07sOKJo0qSJedP0+++/L9t2vZ9++gmrVq2CQqHAunXrStXeKRU8GcoxsA3K9gRBwLJly/DCCy9Aq9Wib9++OHbsmNixqBiHDh0yv36NiIiAk5OTyInsl1ULi0qVKmHt2rV48OABMjIy8NNPP8HNzc3856az0k0bpWvVqoU///wTd+7cQV5eHpKTk/HVV1/Jvr2ptHx8fMy3rE37Ekh8pqV4vXr1cugfOiNHjkT//v2h0+nw8ssvIysrS+xIFnXq1Cm88cYbAIBPP/3U/PNLbkwvNOPj42X335D+DwsLcahUKqxduxbPPfccsrKy0L17d5w7d07sWPQI+fn55uXOo0aNQseOHUVOZN84dSJRUm+HUqlUGDSwPwYN7C+LFhKj0WjulXXENqiiTEcq1qxZE8nJyZg0aZLYkSwmMzMTAwYMQF5eHnr06IHp06eLHclqatSogZo1axaeuiXTO0+OLjc3l4vxROTs7IzNmzcjNDQUd+7cQbdu3XD58mWxY9G/fPXVV0hISEDVqlUlv6PIFlhYSJSpsIiOjoZWqxU5TekpFAo0btgQjRs2lMWpCmfOnMHFixfh5OSE8PBwseOIrmLFiuZz23/66Sds2LDBatdSq9V48/VxePP1cVY9C91oNGLUqFFITk5G7dq18fPPP8vie7c4jjZn4WhOnDgBnU6HatWqcTGeSNzd3REZGYmmTZsiNTUVXbt2xc2bN8WORf9fUlISPvvsMwDAggULUKlSJZET2T95/1aUseDgYFStWhUPHjzAoUOHxI7j8Ex3K8LCwh5q93NkzzzzDN577z0AhccsXrlyxSrXEQQBXl5e8PLysupZ6N999x02btxo3qBbuXJlq13LXnDOQt64GM8+VKlSBVFRUahduzaSk5MRHh6OjIwMsWM5PKPRiHHjxkGr1SI8PByDBg0SO5IksLCQKIVCYR7ilmI7lF6vR1x8POLi4yVxGsSTmOYrHGUpXknNmjULbdq0wf379zF06FDJ/reOiYnB22+/DQCYO3duqY7MljLTHQtHWpTnSDhfYT9q1qyJ6OhoeHt7Iy4uDr1790Zubq7YsRzaypUrsX//fri4uGDx4sUsvkuIhYWESXnOQq/XY+v2SGzdHinZF5smFy9exKlTp6BUKtG7d2+x49gVtVqNNWvWwM3NDQcPHsTs2bMtfg29Xo/oPXsRvWevVb6X7ty5g4EDB6KgoAD9+vXDxIkTLX4Ne9WqVSuo1Wqkp6cjJSVF7DhWpVQq0eW5Z9HluWcdYgcNF+PZn8aNG2PXrl3w8PDAwYMHzT935EqlUmHUiOEYNWK43c1apqenm/eNfPLJJ6hXr57IiaSDhYWEdevWDSqVCklJSbh48aLYcRyW6W7FM8884xDtMaXVoEEDLF68GADw0UcfWbytRq/X43DMURyOOWrxwsJgMGDYsGG4cuUKGjZsiB9//NGh3rVydnZGUFAQAPm3QymVSrR7qg3aPdXGIQoLLsazT61atcK2bdvg7OyM7du349VXX5XtwkaFQoEa1X1Ro7qv3c2rTZkyBffu3UNgYCDeeustseNIin39l6RS8fT0RIcOHQBI866FXJgKC0c/Dao4Q4cOxeDBg6HX6/Hyyy8jMzNT7Egl8uWXXyIyMhLOzs7YuHEjPD09xY5kc6Y5Cw5wy4vpv2dgYCBcXFxETkNFdezYERs2bIBSqcSaNWvw1ltvsRXRhnbt2oU1a9ZAoVAgIiLC7u6m2DsWFhIn5XYoObhx4wb+/vtvAEDfvn3FDWPHBEHAkiVLULduXaSkpGDChAliR3qi/fv344MPPgAALFq0CC1bthQ5kTgcZYDbYDAg9foNpF6/Idt3iItiG5R969WrF1atWgWg8OCITz75RORElqfX6/H3kRj8fSTGblqic3JyMH78eADAxIkTERoaKnIi6WFhIXGmwmL//v1cYiWCLVu2AADatGmDGjVqiJzGvnl6emL16tVQKBRYvXo11qxZI3akx0pLS8OgQYNgMBgwfPhwjBw5UuxIojG98IyLi5P1MKlOp8OPK1fhx5WroNPpxI5jdabCwlQ4kv0ZMmQIFi5cCKCwjfS7774TOZFl6fV67N67D7v37rObwuKTTz5BSkoKatasiU8//VTsOJLEwkLi/Pz8UK9ePWi1WuzZs0fsOA6HS/FKp3379pg5cyYAYPz48bh06ZLIif5Lr9dj8ODBuHnzJpo3b47vv//eoeYq/q127drw8fGBTqdDbGys2HHIArgYTzomTpyIjz76CADw5ptvYvXq1eIGkrFTp05h7ty5AIDFixfD3d1d5ETSxMJC4gRBYDuUSO7du4d9+/YB4DGzpfH++++jffv2ePDgAYYOHWp37w7PmjUL+/fvh5ubGzZu3AhXV1exI4lKEAQuypOZ2NhYLsaTkJkzZ5pPoxsxYgS2b98uciL50ev1GDNmDPR6Pfr168cTHsuBhYUMmAqLyMhIyQx4qVQq9H+hL/q/0Feyg1Hbt2+HTqdDixYt0KhRI7HjSIZKpcLq1avh4eGBw4cP29Xt5h07duDzzz8HAPzwww/w8/MTOZF9cJQ5C0fBxXjSIggCFixYYN4FNGDAABw4cEDsWLKyePFiHD16FB4eHub2MyobFhYy0KlTJ7i4uCA1NRXx8fFixykRhUKBZk390Kypn90dM1dSXIpXdnXr1sWyZcsAAJ999hkOHjxY5udSq9UYN3oUxo0eBbVaXebnuXLlCoYOHQoAeP3117lltYiidyyk8uYFPR4Ht6VHoVDgp59+Qq9evZCXl4fevXub29mofK5evYr33nsPADBnzhxUr15d5ETSJs1XdPQQZ2dndO7cGQDboWwlJycHO3fuBMD5irIaNGgQhg8fDoPBgKFDh+L+/ftleh5BEFDV2xtVvb3L/O6rVqvFwIEDcffuXQQHB2P+/Plleh65Cg4Ohkqlwo0bN3D16lWx41A5cDGedKnVaqxfvx4dO3ZEZmYmwsLCcP78ebFjSd7EiRORlZWFtm3bYuzYsWLHkTwWFjIhtTkLg8GAcwmJOJeQKMmjHXft2oXc3FzUrVvXYY8htYTvvvsODRo0wJUrVzB27FjR3g1/9913ERMTAy8vL2zYsAFOTk6i5LBXFSpUMH+fc85C2i5fvoy0tDQuxpMoFxcXbN26Fa1atcKtW7fQtWtXXLt2TexYkrVp0yZs2bIFKpUKERERku2gsCf8NygTPXr0AFDYA33nzh2R0zyZTqfDxk2bsXHTZrsb3i2JoqdBsUe57Nzd3bF27VqoVCqsX7/efG57aej1euw/cBD7Dxws05GFv//+OxYsWAAAWLVqFerVq1fq53AEcp+zUCqV6NihPTp2aC/rzdtcjCd9np6e2LlzJxo1aoQrV66gW7duuH37ttixSk2lUmHYkMEYNmSwKLOWmZmZeOONNwAA77zzDlq0aGHzDHLEwkImateuDX9/fxgMBnOLDlmHVqvFtm3bAHC+whJat25tXv70xhtvIDk5uVSP1+v1OHDoLxw49FepC4sLFy6Yd1RMmzYNffr0KdXjHYncT4ZSKpXo1PFpdOr4tKwLC1NhyDYoaatatSqio6NRo0YNJCQkoEePHnjw4IHYsUpFoVCgbp06qFunjih3Ct577z1cv34dDRs2NC9DpfJjYSEjUmuHkqr9+/cjIyMD1apV4y9nC3nnnXfwzDPPIDs7Gy+//DK0Wq3Vr5mbm4v+/fsjMzMTHTp0MJ8GRY9mumNx8uRJ5Ofni5yGyorzFfJRp04dREVFoXLlyjh27Bj69u2LvLw8sWNJwpEjR7B48WIAwNKlS3n3zoJYWMiIqbDYuXOnJNuLpMLUBvX888/L+p1NW1Iqlfjll19QsWJFHD9+HLNmzbL6Nd98802cOnUK3t7e+PXXX8t1opQjqF+/Pry9vaHVamV5Go3RaET6rVtIv3VLtidfcTGe/DRr1gw7duyAm5sb9u7di5dfflkyv//1ej2OHY/FseOxNt28XVBQgNGjR8NoNGLYsGHmw2/IMlhYyMhTTz2FihUr4t69e7LtgxabXq/H5s2bAfA0KEurVasWfvjhBwDAl19+aV4+aA0///wzli9fDkEQsHbtWtSoUcNq15ILQRDMdy3k2A5VUFCApT/8iKU//IiCggKx41iFaTGej48P6tSpI3YcspDQ0FBs3rwZGo0GmzZtEvUgjNLQ6/XYERWNHVHRNi0s5s2bhzNnzqBy5cqYN2+eza7rKFhYyIhKpUJ4eDgAtkNZy5EjR3Dz5k14enri2WefFTuO7PTr1w+vvfYajEYjXnnlFascRHD27FmMHz8eQOGW7S5dulj8GnJlepebb1xIExfjyVfnzp3x66+/mvddTJs2TRLFha1dvHgRH3/8MQBg/vz5qFKlisiJ5IeFhcxwzsK6TEvxevXqBY1GI3IaeVqwYAEaN26M1NRU8+1qS8nKykL//v2Rk5ODrl27cmCvlOR8x8IRcL5C3l544QXzXd958+Zhzpw5IieyL0ajEePGjUNeXh46d+6MV155RexIssTCQmbCw8OhUChw+vRpXLlyRew4j6VUKtGnVw/06dVDMnMKRqPxoWNmyTpcXV2xbt06qNVqbNq0CcuXL7fI8xqNRowZMwaJiYmoUaMG1qxZI5nvPXsRGhoKhUKBq1evIjU1Vew4VApcjOcYRo4ciblz5wIoPPVo2bJlIieyH2vWrMHu3bvh7OyMpUuX8q6dlbCwkJnKlSub31XcsWOHyGkeT6lUIjAgAIEBAZJ5cRcfH4+UlBQ4OzsjLCxM7DiyFhQUhC+++AIAMGnSJCQmJj72a1UqFUaNGI5RI4YXexb60qVLsW7dOiiVSvz222/w9va2eG65c3Nzg7+/PwC2Q0lN0cV4wcHBYschK5o6dSpmzJgBABg/fjzWr18vciLx3b59G5MnTwYAzJw5Ew0bNhQ5kXyxsJAhtkNZh+luRXh4OFxdXUVOI39TpkxBly5dkJubi8GDBz/2iFOFQoEa1X1Ro7rvY89Cj42NxVtvvQUAmDNnDtq3b2+t2LIn90V5csXFeI7l888/Nw9xDx06FLt27RI7kqimTZuG27dvo0WLFnj77bfFjiNrLCxkyLSFe8+ePXZ7prXBYMD5Cxdw/sIFGAwGseOUiKmw4FI821AoFPj5559RpUoVxMXF4f333y/T89y7dw8DBgyAVqvF888/j6lTp1o4qWOR+6I8uWIblGMRBAHff/89Bg4ciIKCArz44ov4+++/xY4lir1792LlypUQBAERERE8WtzKWFjIUMuWLVGjRg3k5ORg//79Ysd5JJ1Oh1/Xb8Sv6zdK4szt5ORknDlzBiqVCr169RI7jsPw9fXFjz/+CKBwGDEqKuo/X6PX6/H3kRj8fSTmP0cWGo1GvPrqq0hJSUG9evXMv1yo7Ex3LGJjY22yyNBWlEol2rZpjbZtWkumPbM0WFg4HtN+oLCwMOTk5KBnz544ffq02LHMVCoVBg3sj0ED+xfbxloeubm5GDt2LIDCtjB+/1sfCwsZEgTBfNeC7VCWYToNqlOnTqhUqZLIaRxLnz598PrrrwMAhg8fjlu3bj3053q9Hrv37sPuvfv+U1jMmzcPW7ZsgUajwYYNG+Dl5WWr2LLVuHFjVKxYEXl5eTh16pTYcSxGqVSia+fn0LXzc7IrLHJzcxEXFweAhYWj0Wg0+P3339G2bVvcv38f3bp1w6VLl8SOBaDwrnTjhg3RuGHDx7axltfnn3+OCxcuwNfX1zy3R9bFwkKmis5Z8Czr8jMVFjwNShxz585Fs2bNkJaWhpEjR5boe/rQoUOYPn06AODbb7/lwKqFFF2UxzkLaTh+/DgX4zkwV1dXbN++HS1atEBaWhq6du2KGzduiB3L6s6ePYsvv/wSALBo0SJ4enqKnMgxsLCQqc6dO0Oj0SAlJaXYE3XoyVJTU3HkyBEIgoC+ffuKHcchubi4YN26dXBycsL27duxePHiYr/+1q1beOmll6DX6zF48GDzrXCyDDnOWRiNRty/fx/379+X3ZsxXIxHlSpVQlRUFOrXr49Lly6hW7duuHfvnqiZ9Ho94uLjERcfb/HN2waDAWPGjIFOp0OfPn04G2lDLCxkys3NDZ06dQLAdqjy2rJlC4DC3nJfX1+R0ziugIAAfPXVVwAKj1M8c+bMI79Or9djyJAhuH79Ovz8/BAREcEXUxYmxzsWBQUFWLh4KRYuXoqCggKx41gU5ysIKJxZi46Oho+PD86cOYOePXsiOztbtDx6vR5bt0di6/ZIixcWERER+Pvvv+Hm5oZFixbxd4ANsbCQMR47axlcimc/Jk6ciO7duyM/Px+DBw9Gbm7uf77ms88+Q3R0NCpUqICNGzfCzc1NhKTy1rp1awiCgJSUFNy8eVPsOFQMLsajourXr4+oqCh4eXnh8OHD6Nevn6wOYQCA69ev49133wVQOGNRq1YtkRM5FhYWMmYqLA4dOoSMjAyR00jT3bt3zSdr8Vaq+ARBwMqVK1G1alWcOXPG/MvDZO/evfj4448BFC7Ea968uRgxZc/T0xPNmjUDIK+7FnJ0+fJl3Lx5k4vxyMzf3x9//PEHXFxcsGvXLgwbNszidwzENGnSJGRmZiI0NBQTJkwQO47DYWEhYw0aNECTJk2g0+keeUynmJRKJbp364ru3bra9Qks27Ztg16vR0BAABo0aCB2HAJQtWpVrFq1CgDw3XffYefO/1v8ZBrsHj16NF555RWxIjoEOc5ZyJHpv0+rVq24GI/M2rVrh02bNkGtVuO3337DhAkTZDFbtG3bNmzcuBFKpRIRERF2/fpCrlhYyJy9tkMplUqEhgQjNCTYrv/HN50GxbsV9iU8PNy8SXv06NfQvVsXHI85jLS0NAQGBuLbb78VN6ADkOOchRyxDYoeJywsDL/88gsEQcCyZcvwwQcfiB2pXLKyssx3KKZMmYLAwEBxAzkoFhYyZyosduzYIZkN1/YiKysLu3YVvhvO+Qr7M3v2bAQEBCA9PR3hYWHYtnUr3N3dsWHDBr4zawOmF6rHjh2TxJJLR8XCgorz0ksvYcmSJQCAL774AvPnzxc5Udl9+OGHuHr1KurVq4dZs2aJHcdhsbCQuQ4dOsDd3R3p6emIjY0VO46ZwWDAP5cv45/Ll+224Nm5cyfy8vJQv359+Pv7ix2H/sXZ2Rnr1q2Ds7Mz7t69CwBYsWIFGjZsKHIyx+Dn5wdPT0/k5OTY1TZf+j9cjEclMXbsWHz++ecACk/cW7FihciJSu/48eNYuHAhAGDJkiVwdXUVOZHjYmEhcxqNBl27dgVgX+1QOp0OP69Zh5/XrLPbdzuLLsXjUXX2qVmzZvj+++8hCALeffdd3lmyIYVCgTZt2gCQRzuUQqFASFAQQoKCrLYF2NZMi/F8fX1Ru3ZtseOQHZsxYwamTp0KAHjttdewefNmq19TpVKh/wt90f+FvlCpVGV+Hp1Oh9GjR8NgMGDw4MEICwuzYEoqLXn89KRi2euchT3TarXYvn07AM5X2LuRI0ciIyMDc+bMETuKwzHNWchhgFulUqFHeDf0CO9Wrhc59oSL8aikBEHA119/jVdffRUGgwEvvfQS9u7da9VrKhQKNGvqh2ZN/cpVzH/77beIi4tDxYoV8c0331gwIZUFCwsH0KNHDwCF716lpaWJnEYa9u7di8zMTPj4+JhfPJH9cnd3FzuCQ+IAt30zFRb8GUYlIQgCIiIi0LdvX2i1Wjz//PM4duyY2LGK9c8//2DmzJkAgK+//hrVqlUTORGxsHAAPj4+5vPLd+zYIXIaaTAtxXvhhRdk0xZBZGmmVqjk5GTcvn1b5DTlYzQakZ2dg+zsHFkcu8nFeFQWKpUK69atw3PPPYesrCx0794dCQkJVrmWwWDAuYREnEtILNOspdFoxPjx45GTk4NnnnkGI0eOtEJKKi2+YnIQbIcqOb1ejy1btgBgGxRRcSpVqoQmTZoAAGJiYkROUz4FBQWY9+1CzPt2IQoKCsSOU27//PMPF+NRmTg7O2Pz5s0IDQ3FnTt30K1bN1y+fNni19HpdNi4aTM2btpcplnL3377DTt37oRGo8GyZcvY7mcnWFg4CFNhERUVBa1WK3Ia+/b3338jPT0dXl5e6NSpk9hxiOwaF+XZJy7Go/Jwd3dHZGQkmjZtimvXrqFr165IT08XO5bZvXv3MGnSJADAe++9Z36Dg8THwsJBhISEoGrVqnjw4AEOHTokdhy7ZjoNqnfv3lCr1SKnIbJvnLOwT2yDovKqUqUKoqKiULt2bSQnJyM8PBwZGRlixwIAvPvuu0hPT4efnx+mT58udhwqgoWFg1AoFOjevTsA+2iHUiqV6PLcs+jy3LN2tXnbaDSa5yt4dCnRk5leuMbExECv14uchkxYWJAl1KxZE9HR0fD29sbJkyfRp08f5Obmiprp4MGD+OGHHwAAERERcHJyEjUPPYyFhQOxpzkLpVKJdk+1Qbun2thVYREXF4fLly/DxcUF3bp1EzsOkd1r3rw53NzckJWVhXPnzokdhwDk5OTg1KlTAFhYUPk1btwYO3fuhIeHBw4cOICXXnpJtDmk/Px8jBkzBgAwevRoPP3006LkoMdjYeFAunXrBqVSiaSkJFy8eFHsOHbJdLeie/fuqFChgshpiOyfUqlE69atAXDOwl5wMR5ZWlBQELZt2wZnZ2ds27YNI0eOLNNJTuU1Z84cJCYmolq1avjyyy9tfn16MhYWDsTT0xMdOnQAAERGRoqaxWAwIPX6DaRevyHKD6fHKXrMLBGVDOcs7IvpvwMX45EldezYEevXr4dSqcTq1asxefJkmx7NnJiYiC+++AJA4VK8ihUr2uzaVHIsLByMvbRD6XQ6/LhyFX5cuapMx8xZQ1JSEs6dOweVSoVevXqJHYdIMuRwMpRCoUBL/xZo6d9C8rtrOF9B1tK7d2+sXLkSALBw4UJ8+umnZX4upVKJPr16oE+vHk9siTYYDBg7diy0Wi26d++OgQMHlvm6ZF3S/ulJpWYqLPbv34/s7GyR09gX02lQnTt3hpeXl7hhiCTEtCgvMTER9+7dEzlN2ahUKjzfuxee790LKpVK7DhlxsV4ZG1Dhw7Ft99+CwCYNWsWFi1aVKbnUSqVCAwIQGBAwBMLixUrVuDAgQOoUKECFi9ezDtxdoyFhYNp2rQp6tati/z8fOzZs0fsOHbFVFiwDYqodLy9vdGwYUMAwNGjR0VO49hMi/HUajUX45HVvPnmm5g1axYAYOLEiVizZo3VrnXz5k1MmzYNAPDJJ5+gbt26VrsWlR8LCwcjCILdtEPZk2vXruHo0aMQBAHPP/+82HGIJMc0ZyHVdiij0QitVgutVmvTvnFLK7oYz9nZWeQ0JGezZs3CG2+8AQAYPnx4qV9TGAwGnL9wAecvXCh21nLy5Mm4d+8eWrVqZV6KR/aLhYUDMhUWkZGRkv4FakmbN28GALRr1w4+Pj7ihiGSIFPbjVQHuAsKCjBn7nzMmTtftKM0LYFtUGQrgiDg22+/xZAhQ6DX69G/f38cPHiwxI/X6XT4df1G/Lp+42NnLXfu3Il169ZBoVAgIiJC0m2KjoKFhQPq1KkTXFxccO3aNcTHx4sdxy5wKR5R+RQ9GcqeTnpzNCwsyJYUCgVWrFiBnj17Ii8vD7169cLJkyct8tzZ2dkYP348gMLWq5CQEIs8L1kXCwsH5OLigs6dOwNgOxQA3L59GwcOHADA+QqisvL394eLiwsyMjKQlJQkdhyHxMV4JAa1Wo0NGzbg6aefRmZmJsLDw5GcnFzu5/3444/xzz//oHbt2uU6fYpsi4WFgxJ7zkKpVKJjh/bo2KG96Ju3t23bBr1ej8DAQNSrV0/ULERSpVarERoaCkC6cxZSV3QxXq1atcSOQw7ExcUF27ZtQ2BgINLT09G1a1dcu3atzM8XFxeH+fPnAwC+//57uLm5WSoqWRkLCwfVo0cPAIVtC3fu3LH59ZVKJTp1fBqdOj4temHBpXhElsFFeeIq2gbF4zjJ1jw9PbFz5040bNgQly9fRlhYWJleX+j1eowePdo8t8G9UtLCwsJB1a5dG/7+/jAYDNi1a5fYcUTz4MEDREdHA+B8BVF5yWFRnpRxvoLEVq1aNURHR6NGjRo4d+4cevTogQcPHpTqOb7//nscP34cnp6eWLhwoZWSkrWwsHBgprsWYrRDGY1GpN+6hfRbt0Q9mWrHjh3Iz89Hw4YN0bx5c9FyEMmB6Y7F2bNnkZmZKXIax8LFeGQv6tati6ioKFSqVAlHjx7FCy+8gPz8/BI99urVq3j//fcBAHPmzIGvr681o5IVsLBwYKY5i507d0Kv19v02gUFBVj6w49Y+sOPoh7taFqK9+KLL7J1gKicfHx8ULduXRiNRsktylMoFGjq1wRN/ZpAoZDer8aUlBSkp6dzMR7ZhWbNmmHHjh1wdXXFnj178PLLL//nSFmlUonu3bqie7euUCqVMBqNmDBhArKystCuXTuMGTNGpPRUHtL76UkW07ZtW1SsWBF37951yJ7o/Px8890atkERWYZU5yxUKhUGvPgCBrz4giTPyudiPLI3rVu3xpYtW6DRaPC///0P48aNe6hDQalUIjQkGKEhwVAqlfjf//6Hbdu2Qa1WIyIiQpIFPrGwcGgqlQphYWEAHPPY2T179uDBgweoXr26+TQbIiofzlmIg21QZI86d+6MX3/9FQqFAj/++CPeeeedR7Y/Z2RkYOLEiQCAd955h63JEsbCwsGJfeysmIqeBsV3Rogso+gdCzHnpxyN6Q4RCwuyNy+88AJ++OEHAMDcuXPx5ZdfAgAMBgP+uXwZ/1y+jPfeew83btxAo0aN8MEHH4gZl8pJevd7yaLCw8MhCALi4+Nx9epVhzn7XK/XY8uWLQB4zCyRJQUGBsLJyQl3795FcnIyGjduLHakEtFqtZgzt/Dc/OlvT4FGoxE5UclxMR7Zu5EjR+Lu3buYNm0aZsyYgUqVKmHEiBH4ec06AMDy5csBAEuXLmUrn8TxbVoHV6VKFfM7jJGRkSKnsZ1Dhw7h9u3bqFSpEjp27Ch2HCLZ0Gg05uFhqc1ZSJVpMV716tUd5s0hkp63334bM2bMAACMGzfOfHgKUHiq2YgRI/Dcc8+JFY8shIUFOWQ7lOkHWu/evaFWq0VOQyQvpnfNWVjYBhfjkVR8/vnnGDt2LIxGI0aOHGn+fOXKlTF37lwRk5GlsLAgc2GxZ88e5OXl2eSaSqUSbdu0Rts2rW2+edtoNJrnK3gaFJHlme6CcoDbNji4TVIhCAK+//57DBw48KGj5r/88ktUrlxZxGRkKSwsCC1btkSNGjWQk5OD/fv32+SaSqUSXTs/h66dn7N5YREbG4urV6/C1dUVXbt2tem1iRyB6QVufHw8srOzRU4jb1yMR1KjVCrxyy+/4Nlnn8Ws92fg0P69eOWVV8SORRbCwoIgCIJ5C7cjzFmY2qC6d+8OFxcXkdMQyU+NGjVQs2ZNGAwGHDt2TOw4slZ0MV5QUJDYcYhKRKPRYMuWLdiyZQs2b97MFj4ZYWFBAGAuLP744w+bHBFpNBpx//593L9/3+ZHUrINisj6pLooT2pMdyuCgoJ4mg5JirOzM/r06YMKFSqIHYUsiIUFAQC6dOkCjUaDS5cuISkpyerXKygowMLFS7Fw8dKH+iytLSEhAYmJiVCr1eZiiogsT2qL8hQKBRo2aICGDRpIaq+N6d+vqZAjIhKTdH56klW5ubnhmWeeASDv06FMbVBdunSBp6enyGmI5Etqi/JUKhVefmkAXn5pAFQq6ax44nwFEdkTqxUWn3/+Odq1a4cKFSrAy8urRI8xGo2YOXMmfH194eLigi5duiA5OdlaEelfHOHYWVNhwaV4RNYVFBQEtVqN9PR0pKSkiB1HlrKzs7kYj4jsitUKC61WiwEDBmD8+PElfsxXX32FhQsXYunSpYiJiYGrqyvCwsJsdgSqozMVFgcPHkRGRobIaSzvypUrOH78OARBwPPPPy92HCJZc3Z2RqtWrQBwzsJajh8/Dr1ez8V4RGQ3rFZYfPzxx5g8eTL8/f1L9PVGoxELFizABx98gOeffx4BAQH4+eefcf36dWzevNlaMamIhg0bonHjxtDpdIiOjhY7jsWZvo86dOiAqlWrihuGyAFIac5Cq9Vi9tfzMPvredBqtWLHKREuxiMie2M3MxYpKSlIS0tDly5dzJ/z9PREmzZtJPFLSS7k3A7F06CIbEtqJ0MVFBTY9DCJ8uJ8BRHZG7spLNLS0gAA1apVe+jz1apVM//Zo+Tn5yMzM/OhDyo7U2ERGRkJg8EgchrLuXXrFg4ePAgA6Nu3r7hhiByE6QVvXFwccnNzRU4jL1yMR0T2qFSFxfTp0yEIQrEfiYmJ1sr6SLNnz4anp6f5g32m5fP000/D3d0d6enpiI2Ntdp1FAoFQoKCEBIUZJOjHbdu3QqDwYCgoCDUrVvX6tcjIqB27drw8fGBTqez6s8TR5SSkoJbt25xMR4R2ZVSvaKbOnUqEhISiv2oX79+mYL4+PgAAG7evPnQ52/evGn+s0eZMWMGMjIyzB9Xr14t0/WpkEajQdeuXQFYtx1KpVKhR3g39AjvZpOjHU1tUDwNish2BEGQ1JyFlHAxHhHZo1IVFt7e3vDz8yv2Q6PRlClIvXr14OPjgz179pg/l5mZiZiYmGJv8zo5OcHDw+OhDyqfou1QcpCZmYndu3cD4HwFka1Jbc5CKtgGRUT2yGo9KFeuXEFcXByuXLkCvV6PuLg4xMXFISsry/w1fn5+5r0CgiDgrbfewmeffYatW7fi9OnTGDZsGKpXr86eeBvr3r07AODYsWP/uYNkKUajEdnZOcjOzrH68qzIyEhotVo0adIETZs2teq1iOhhRe9YSGFRnlSwsCAie2S1HpSZM2di1apV5r83nWe+b98+dOrUCQCQlJT00L6Ed955B9nZ2RgzZgzu37+PDh06YOfOnbzNa2O+vr4ICgrCiRMnsGPHDowYMcLi1ygoKMC8bxcCAKa/PaXMd7pKouhSPB7JSGRbwcHBUKlUuHHjBq5evYratWuLHemRBEFAndq1zH9tz7gYj4jsldXuWKxcuRJGo/E/H6aiAih817roi1ZBEPDJJ58gLS0NeXl52L17Nxo3bmytiFQMuRw7m5eXZ27pYhsUke1VqFABLVu2BGDf7VBqtRrDhw7B8KFDoFarxY5TLNNivBo1avDAEiKyK3Zz3CzZF1NhERUVJalz3f9t9+7dyMrKQs2aNRESEiJ2HCKHZJqz4AC3ZbANiojsFQsLeqTQ0FB4e3sjMzMThw4dEjtOmRU9Dcre2xuI5Mr0Atie71hICQsLIrJXLCzokRQKhXmIW6rtUDqdDlu3bgXAY2aJxGS6Y3HixAnk5+eLnObRtFot5n7zLeZ+8y20Wq3YcR6Li/GIyJ6xsKDHkvqcxcGDB3Hnzh1UrlwZTz/9tNhxiBxW/fr1UaVKFWi1Wpw8eVLsOI+Vk5uLHDvfEH7p0iXzYjzToShERPaChQU9Vrdu3aBUKpGYmIhLly6JHafUTG1Qffr0sckSPiJ6NC7KsxwuxiMie8bCgh7Ly8sLHTp0AGD5uxYKhQIt/VugpX8LKBSW/zY0GAzmY2Z5GhSR+LgozzLYBkVE9oyFBRXLWu1QKpUKz/fuhed797LK3YTjx48jNTUVbm5u6NKli8Wfn4hKh3csLIOFBRHZMxYWVCxTYbF//35kZ2eLnKbkTHcrevTowXYBIjsQGhoKhUKBq1evIjU1Vew4kpSdnY34+HgALCyIyD6xsKBiNW3aFHXq1EF+fj727t1rsec1Go3QarXQarUwGo0We17Tc5vmK9gGRWQf3Nzc4O/vD4DtUGV17NgxLsYjIrvGwoKKJQiCVdqhCgoKMGfufMyZO9/iC/gSEhJw/vx5aDQa85G5RCQ+e56zEAQB1X19UN3Xx2533pj+vfFuBRHZKxYW9ERFCwtL312wBtPdiq5du8LDw0PkNERkYs9zFmq1Gq+9OgKvvToCarVa7DiPxPkKIrJ3LCzoiZ599lm4uLjg2rVrOH36tNhxnsg0X8GleET2xXTHIjY21q6X0NkjLsYjIilgYUFP5OLigueeew6A/S/L++eff3DixAkoFAr06dNH7DhEVETjxo1RsWJF5OXl4dSpU2LHkRTTYjyNRoOgoCCx4xARPRILCyoRqWzh3rx5MwDg6aefhre3t7hhiOghgiDY7ZxFQUEBvv1+Mb79frHF574soehiPCcnJ5HTEBE9GgsLKhFTYXH48GHcuXNH5DSPx9OgiOybqY3H3goLo9GIjIxMZGRk2uUsGdugiEgKWFhQidSuXRstWrSAwWDArl27xI7zSDdv3sShQ4cAAH379hU3DBE9kumOhT0OcNszFhZEJAUsLKjELNkOpVAo0NSvCZr6NYFCYZlvw61bt8JoNCIkJAS1a9e2yHMSkWW1bt0agiAgJSUFN2/eFDuOJHAxHhFJBQsLKjFTYbFz507o9fpyPZdKpcKAF1/AgBdfgEqlskQ8tkERSYCnpyeaNWsGwP7aoeyVaTFezZo1UbNmTbHjEBE9FgsLKrG2bdvCy8sLd+/etbsXBBkZGdizZw8AHjNLZO/sdYDbXpnaoEz/3oiI7BULCyoxlUqFsLAwAEBkZKTIaR72xx9/oKCgAE2bNoWfn5/YcYioGPa8KM8ecb6CiKSChQWViqXmLLRaLT75Yg4++WKORRZlcSkekXSY3nk/duwYdDqdyGkKCYIA7ypV4F2lCgRBEDuOGRfjEZGUWKa5nRxGeHg4BEHAqVOncO3aNbvo983NzTXfQeF8BZH9a9q0KTw8PJCZmYnTp0+jVatWYkeCWq3G+DGviR3jPy5evIjbt29zMR4RSQLvWFCpeHt7o02bNgDspx0qOjoaOTk5qF27Nn/xEkmAQqEw/xzhnEXxuBiPiKSEhQWVmr1t4TadBvXCCy/YVQsDET0e5yxKhm1QRCQlLCyo1EyFxe7du5GXlydqloKCAmzduhUA5yuIpMTeToYqKCjAkojlWBKxHAUFBWLHMTP9+2FhQURSwMKCSi0wMBDVq1dHTk4O/vzzT1GzHDhwAPfu3YO3tzc6dOggahYiKjlTK1RycjJu374tcprCIelbt2/j1u3bMBqNYscBwMV4RCQ9LCyo1ARBQI8ePQCI3w5laoPq06cPlEqlqFmIqOQqVaqEJk2aAABiYmJETmOfuBiPiKSGhQWVSdE5i7K8u6dQKNCwQQM0bNAACkXZvg0NBgM2b94MgKdBEUkR5yyKx/kKIpIaFhZUJl26dIFGo8GlS5eQlJRU6serVCq8/NIAvPzSAKhUZTv1+OjRo7h+/Trc3d3RuXPnMj0HEYnH3uYs7A0LCyKSGhYWVCZubm545plnAIjXDmVaitezZ08ew0gkQaYXzDExMdDr9SKnsS9cjEdEUsTCgsrMNGchxj4Lo9Fonq9gGxSRNDVv3hxubm7IysrCuXPnxI5jV4ouxrOHBYJERCXBwoLKzDRnceDAAWRmZpbqsVqtFrO/nofZX8+DVqst9bXPnj2LCxcuwMnJCd27dy/144lIfEqlEq1btwYgfjuUIAjw9PSAp6eHXezDMd2tCA4O5h1ZIpIMFhZUZo0aNUKjRo2g0+kQHR1d6scXFBSU+bx4092Kbt26wc3NrUzPQUTiM81ZiD3ArVarMWnC65g04XWo1WpRswCcryAiaWJhQeUi1hZu03wFl+IRSRsHuB+NhQURSRELCyoXU2ERGRkJg8Fgk2teunQJcXFxUCqV6N27t02uSUTWYSosEhIScO/ePZHT2IesrCzzYjzTvx8iIilgYUHl0rFjR7i5ueHmzZs4ceKETa5pulvRsWNHVKlSxSbXJCLr8Pb2RoMGDQAUHiEtloKCAixfsRLLV6wsc4umpRw7dgwGg4GL8YhIclhYULloNBp07doVgO3aoUyFBU+DIpIHe1iUZzQacf1GGq7fSCvT0k9LYhsUEUkVCwsqN1vOWaSlpeHvv/8GAPTt29fq1yMi6+OcxcNYWBCRVJVt5TFREaZ9FseOHcPNmzdRrVq1Jz5GEATUqV3L/NcltWXLFhiNRrRu3ZotAkQyYXoBfeTIERgMBigUjvuel9FoNBdYLCyISGoc96c3WYyvry+CgoIAADt27CjRY9RqNYYPHYLhQ4eU6mhHLsUjkh9/f3+4uLggIyMDSUlJYscRFRfjEZGUsbAgi7BFO9T9+/exd+9eADxmlkhO1Go1QkNDAYi/z0JsXIxHRFLGwoIswtQOFRUVZbUTVbZv3w6dTofmzZujcePGVrkGEYmDcxaFOF9BRFLGwoIsIjQ0FFWqVEFmZib++uuvJ369VqvF3G++xdxvvoVWqy3RNbgUj0i+7OFkqAouLqjg4iLa9QEWFkQkbSwsyCKUSiW6d+8OoOTtUDm5ucjJzS3Z1+bkmOc3OF9BJD+mOxZnz55FZmamza+v0Wjw9uRJeHvyJGg0GptfH3h4MR4LCyKSIhYWZDHWnLPYtWsXcnNzUadOHQQGBlr8+YlIXD4+Pqhbty6MRqOoi/LEZFqMV6tWLdSoUUPsOEREpcbCgiwmLCwMSqUSCQkJSElJsehzF12KV5rjaYlIOhx9zoJtUEQkdSwsyGK8vLzQvn17AJa9a1FQUIBt27YB4HwFkZwV3WdhawUFBVi1eg1WrV5jtQMonoSFBRFJHQsLsihrtEPt378f9+/fR9WqVdGuXTuLPS8R2ZeidyyMRqNNr200GnH5ylVcvnLV5tc2XZ+L8YhI6lhYkEWZCot9+/YhOzvbIs9pWorXt29fKJVKizwnEdmfwMBAODk54c6dO7hw4YLYcWzqwoULuH37NpycnLgYj4gki4UFWVSzZs1Qp04d5Ofnm5fZPYogCKju64Pqvj7FzkwYDAZs3rwZANugiOROo9EgODgYgOMtyiu6GE+sU6mIiMqLhQVZlCAIJWqHUqvVeO3VEXjt1RFQq9WP/bojR44gLS0NHh4eeO655yyel4jsi6MOcJsKC9M/PxGRFLGwIIsrWliUt1fZdBpUr169+C4ekQOwh0V5YuDgNhHJAQsLsrhnn30Wzs7OuHbtGs6cOVPm5zEajeb5Ci7FI3IMpnfs4+PjLTanZe8ePHiA06dPA2BhQUTSxsKCLM7FxcXctvS4dqiCggJ8+/1ifPv94sce7Xj69GlcunQJzs7OCA8Pt1peIrIfNWvWRM2aNWEwGHDs2DGbXlutVhfbmmktXIxHRHLBwoKs4klzFkajERkZmcjIyHxsu5TpbkVYWBhcXV2tE5SI7I4YcxYajQYzpk3FjGlTbd52yTYoIpILFhZkFabC4u+//8bdu3fL9BymwoKnQRE5Fkebs+D+CiKSCxYWZBV16tRB8+bNYTAYsGvXrlI//sKFCzh9+jSUSiV69+5thYREZK/EXJRna1yMR0RywsKCrKY8W7hNp0E9++yzqFSpkkVzEZF9CwoKglqtRnp6OlJSUmxyTZ1Oh7W/bcDa3zZAp9PZ5JoAF+MRkbywsCCrMRUWO3fuhF6vL9VjTYUF26CIHI+zs7P5Rbat5iwMBgMuXLyICxcvwmAw2OSaABfjEZG8sLAgq2nXrh28vLxw584dxMTElPhx169fN/+y7du3r5XSEZE9c5Q5Cw5uE5GcsLAgq1GpVAgLCwPw33YoQRDgXaUKvKtUgSAID/3Zli1bABT2WVevXt02YYnIrjjKBm4WFkQkJywsyKoeN2ehVqsxfsxrGD/mtf+cG8+leERkeqEdFxeH3NxckdNYBxfjEZHcsLAgqwoPD4cgCDh16hSuXbv2xK+/e/cu9u/fD4DzFUSOrHbt2vDx8YFOp0NsbKzYcazCtBivdu3avDtLRLLAwoKsytvbG23atAEAREZGPvHrt2/fDp1OB39/fzRs2NDa8YjITgmCYH4XX67tUGyDIiK5YWFBVtejRw8ADxcWBQUFWBKxHEsilqOgoMD8eZ4GRUQmpjkLuQ5ws7AgIrlRiR2A5K9nz56YOXMmdu/ejfz8fDg5OcFoNOLW7dsAYF6AlZ2djZ07dwLgfAURPVxYGI3G/xz0YEkajQYz35tutef/t6KL8Uz/nEREUsc7FmR1rVq1gq+vL7Kzs/Hnn38+9ut27tyJvLw81KtXDwEBATZMSET2KCQkBEqlEjdu3MDVq1fFjmNRycnJuHPnDhfjEZGssLAgqxMEwdwOVdwWblMb1IsvvmjVdyaJSBoqVKiAli1bApDfnAUX4xGRHLGwIJsoeuysqfWpKK1Wi+3btwNgGxQR/R9bLcrT6XTY8L9N2PC/TdDpdFa9FsD5CiKSJxYWZBNdunSBWq3GxYsXcf78+f/8+b59+5CRkQEfHx/2GxORma0W5RkMBiQkJiEhMQkGg8Gq1wJYWBCRPLGwIJtwd3fHM888A+DR7VCmpXh9+/aFQsFvSyIqZHrhfeLECeTn54ucxjIePHiAM2fOAGBhQUTywldwZDNF26EEQYCnpwc8PT1gMBiwZcsWADxmlogeVr9+fVSpUgVarRYnT54UO45FcDEeEcmV1QqLzz//HO3atUOFChXg5eVVoseMGDECgiA89BEeHm6tiGRjpsLiwIEDyM3NxaQJr2PShNdx/Phx3Lx5E15eXujUqZO4IYnIrhRdlCeXfRZsgyIiubJaYaHVajFgwACMHz++VI8LDw/HjRs3zB/r1q2zUkKytUaNGqFRo0bQ6XSIjo42f950GlSvXr14OgoR/Yet5ixshYUFEcmV1QqLjz/+GJMnT4a/v3+pHufk5AQfHx/zR8WKFa2UkMRQtB0KKFwSZZqv4GlQRPQocrpjUXQxHgsLIpIbu5ux2L9/P6pWrYomTZpg/PjxuHPnTrFfn5+fj8zMzIc+yH6Z9llERUXhh59WYuHiJbh27RpcXFwQFhYmcjoiskehoaFQKBS4evUqUlNTxY5TLqbFeM7OzggMDBQ7DhGRRdlVYREeHo6ff/4Ze/bswZdffok///wT3bt3h16vf+xjZs+eDU9PT/NHrVq1bJiYSqtjx45wdXVFeno6bqSlISMj0zxLU6FCBbHjEZEdcnNzM9/9tlY7lFqtxvS3p2D621OgVqutcg2Ai/GISN5KVVhMnz79P8PV//5ITEwsc5hBgwahT58+8Pf3R9++fbF9+3YcO3YM+/fvf+xjZsyYgYyMDPPH1atXy3x9sj4nJyd07dr1P59nGxQRFcfacxaCIECj0UCj0UAQBKtcA+B8BRHJm6o0Xzx16lSMGDGi2K+pX79+efL857mqVKmCCxcuoHPnzo/8GicnJzg5OVnsmmR9PXv2fGiXhUqlMs9eEBE9Stu2bbFs2TLJD3CzsCAiOStVYeHt7Q1vb29rZfmPa9eu4c6dO/D19bXZNcn6THMWJs888wyH9ImoWKY7FsePH4dWq7V4G5FOp8MfO3YCAHp2D4dKVapfjyXCxXhEJHdWm7G4cuUK4uLicOXKFej1esTFxSEuLg5ZWVnmr/Hz8zMfNZqVlYVp06bhyJEj+Oeff7Bnzx48//zzaNiwIYd6ZaZ69epo2bKl+e/79OkjYhoikoJGjRqhYsWKyMvLQ3x8vMWf32Aw4NTpMzh1+gwMBoPFnx8Ajh49CoPBgDp16vANMyKSJasVFjNnzkSrVq0wa9YsZGVloVWrVmjVqhWOHz9u/pqkpCRkZGQAAJRKJeLj49GnTx80btwYo0aNQnBwMA4ePMhWJxkquviQbVBE9CQKhcJ810Kqx86acpv+OYiI5Mby93r/v5UrV2LlypXFfo3RaDT/tYuLC3bt2mWtOGRnXnrpJQQHByMsLAwz35sudhwikoCnnnoKO3bswJEjRzBx4kSx45Qa5yuISO6sVlgQFadFixa4fPkyPD09xY5CRBIh5UV5XIxHRI7ArvZYkGPx8fGBi4uL2DGISCJat24NQRCQkpKCmzdvih2nVM6fP4+7d+9yMR4RyRoLCyIikgRPT080a9YMgPX2WViLKS8X4xGRnLGwICIiybD2ojxr4XwFETkCzlgQEZFktG3bFj/++KPF5yzUajWmTnrT/NeWxsKCiBwBCwsiIpIM0x2LY8eOQafTWWyRnSAIcHWtYJHn+jcuxiMiR8FWKCIikoymTZvCw8MDOTk5OH36tNhxSoSL8YjIUbCwICIiyVAoFGjTpg0Ay85Z6HQ6RO6MQuTOKOh0Oos9L8A2KCJyHCwsiIhIUqyxz8JgMOD4iRM4fuIEDAaDxZ4XYGFBRI6DhQUREUmKlE6G4mI8InIkLCyIiEhSTK1QycnJuH37tshpild0MV7Lli3FjkNEZFUsLIiISFIqVaqEJk2aAABiYmJETlM8UxtUSEgIF+MRkeyxsCAiIskxtRXZezsU5yuIyJGwsCAiIskxzVlYelGepZnymfISEckZCwsiIpIc0wv1o0ePQq/Xi5zm0TIzM7kYj4gcCjdvExGR5LRo0QKurq548OABzp07B39//3I9n1qtxpuvjzP/tSUcPXoURqORi/GIyGHwjgUREUmOUqlE69atAVhmzkIQBHh5ecHLywuCIJT7+QDOVxCR42FhQUREkmSNRXmWxP0VRORo2ApFRESSZMlFeXq9Hnv3/wkAeK7TM1AqleV6Pi7GIyJHxDsWREQkSabCIiEhAffu3SvXc+n1ehyOOYrDMZYZBudiPCJyRCwsiIhIkry9vdGgQQMAhYPS9oSL8YjIEbGwICIiybLXOQsObhORI2JhQUREkmXJOQtLYmFBRI6IhQUREUmW6YX7kSNHYDAYRE5TiIvxiMhRsbAgIiLJ8vf3h4uLCzIyMpCUlCR2HAD/txivbt268PHxETsOEZHNsLAgIiLJUqvVCA0NBWA/cxZsgyIiR8XCgoiIJM0ScxZqtRrjRo/CuNGjoFary5WHhQUROSouyCMiIkkrOmdRVoIgoKq3d7mzGAwGLsYjIofFOxZERCRpbdq0AQCcOXMGmZmZomY5f/487t27x8V4ROSQWFgQEZGk+fr6ok6dOjAajTh27FiZnkOv12P/gYPYf+BguTZvF12MV96WKiIiqWFhQUREklfeRXl6vR4HDv2FA4f+skhhwTYoInJELCyIiEjy7GVRHgsLInJkLCyIiEjyig5wG41GUTJkZmbi7NmzD+UhInIkLCyIiEjyAgMD4eTkhDt37uDChQuiZOBiPCJydCwsiIhI8jQaDYKDgwGItyiPbVBE5OhYWBARkSyIPWfBwoKIHB0LCyIikoXyngxVHlyMR0TEzdtERCQTpjsW8fHxyM7Ohqura4kfq1KpMGrEcPNfl5ZpMZ6LiwsX4xGRw+IdCyIikoWaNWuiZs2aMBgMpV6Up1AoUKO6L2pU94VCUfpfjVyMR0TEwoKIiGRErDkLzlcQEbGwICIiGSnrnIVer8ffR2Lw95GYMm3eZmFBRMQZCyIikpGidyyMRiMEQSjR4/R6PXbv3QcACAlqBaVSWeJrZmRkcDEeERF4x4KIiGQkKCgIarUa6enpSElJsck1TYvx6tWrh2rVqtnkmkRE9oiFBRERyYazszNatWoFwHZzFmyDIiIqxMKCiIhkxdYD3CwsiIgKsbAgIiJZseWivKKL8UwFDRGRo2JhQUREsmJ6gR8XF4fc3FyrXispKQn379/nYjwiIrCwICIimalTpw58fHyg0+kQGxtr1WuZ7lZwMR4REQsLIiKSGUEQSj1noVKpMGzIYAwbMhgqVclPYud8BRHR/2FhQUREslPaOQuFQoG6deqgbp06UChK/quRhQUR0f9hYUFERLJjumNx+PBhGI1Gq1yDi/GIiB7GwoKIiGQnJCQESqUSN27cwNWrV5/49Xq9HseOx+LY8Vjo9foSXYOL8YiIHsbCgoiIZKdChQrmU5pKMmeh1+uxIyoaO6KiS1xYsA2KiOhhLCyIiEiWrL3PgoUFEdHDWFgQEZEsWXMDd9HFeCwsiIgKsbAgIiJZMr3gP3HiBPLz8y363EUX4wUEBFj0uYmIpIqFBRERyVL9+vVRpUoVaLVanDx50qLPbWqDCg0N5WI8IqL/j4UFERHJkiAIVpuz4HwFEdF/sbAgIiLZstacBQsLIqL/UokdgIiIyFpML/yfVFioVCoMGtjf/NfFycjIwLlz5wD8X+FCREQsLIiISMZCQkKgUChw5coVXL9+HdWrV3/k1ykUCjRu2LBEzxkTE8PFeEREj8BWKCIiki13d3e0aNECgOXaodgGRUT0aCwsiIhI1koywK3X6xEXH4+4+Pgnbt7m/goiokdjYUFERLJWkgFuvV6PrdsjsXV7ZLGFBRfjERE9HgsLIiKSNVMBcPz4cWi12nI9FxfjERE9HgsLIiKStUaNGqFixYrIy8tDfHx8uZ6Li/GIiB6PhQUREcmaQqEwt0OVd1EeB7eJiB6PhQUREcmepRblsbAgIno8FhZERCR7JTkZ6kmKLsZjYUFE9F8sLIiISPZat24NQRCQkpKCmzdvluk5TIvx6tevj6pVq1o4IRGR9LGwICIi2fP09ESzZs0APLodSqVSof8LfdH/hb5QqVSPfA62QRERFc9qhcU///yDUaNGoV69enBxcUGDBg0wa9asJx71l5eXhwkTJqBy5cpwc3NDv379yvzuEhERkUlxcxYKhQLNmvqhWVM/KBSP/tXIwoKIqHhWKywSExNhMBiwbNkynD17Ft988w2WLl2K9957r9jHTZ48Gdu2bcOGDRvw559/4vr163jxxRetFZOIiBxEeeYsuBiPiOjJBKPRaLTVxb7++mssWbIEly5deuSfZ2RkwNvbG2vXrkX//v0BFBYoTZs2xeHDh83vNhUnMzMTnp6eyMjIgIeHh0XzExGRdJ09exYtWrRAhQoVkJGR8VDLk8FgQGLSeQCAX5PG/7lrce7cOTRv3vyRjyUikrPSvLa26YxFRkYGKlWq9Ng/j42NRUFBAbp06WL+nJ+fH2rXrl3us8eJiMixNW3aFB4eHsjJycHp06cf+jOdToeNmzZj46bN0Ol0/3ls0cV4LCqIiB7NZoXFhQsX8N1332Hs2LGP/Zq0tDRoNBp4eXk99Plq1aohLS3tkY/Jz89HZmbmQx9ERET/plAo0KZNGwCl32fB+QoioicrdWExffp0CIJQ7EdiYuJDj0lNTUV4eDgGDBiA0aNHWyw8AMyePRuenp7mj1q1aln0+YmISD7KuijPVFiUpCWXiMhRlfp+7tSpUzFixIhiv6Z+/frmv75+/TqeffZZtGvXDhEREcU+zsfHB1qtFvfv33/orsXNmzfh4+PzyMfMmDEDU6ZMMf99ZmYmiwsiInqksgxw379/n4vxiIhKoNSFhbe3N7y9vUv0tampqXj22WcRHByMFStWPPYIP5Pg4GCo1Wrs2bMH/fr1AwAkJSXhypUrj/1h7uTkBCcnp9L9QxARkUMytUIlJyfjzp07qFy58hMfc/ToUQDgYjwioiew2oxFamoqOnXqhNq1a2Pu3Lm4desW0tLSHpqVSE1NhZ+fn/mHtqenJ0aNGoUpU6Zg3759iI2Nxauvvoq2bdvy9jMREZVbpUqV0KRJEwAlb4fifAURUclY7WiL6OhoXLhwARcuXEDNmjUf+jPTCbcFBQVISkpCTk6O+c+++eYbKBQK9OvXD/n5+QgLC8PixYutFZOIiBzMU089haSkJBw5cgQ9e/Z84tezsCAiKhmb7rGwBe6xICKi4ixbtgzjxo1D586dsXv3bgCAXq/H6bNnAQD+zZtDqVQCKNxvUalSJWRkZCA2NhZBQUGi5SYiEkNpXlvzMG4iInIoptbao0ePQq/XQ6lUQqlUIjAg4D9fm5iYiIyMDFSoUAEBj/hzIiL6PzZdkEdERCS2Fi1awNXVFQ8ePDCf9vQ4XIxHRFRyLCyIiMihKJVKtG7dGsD/DXAbDAacv3AB5y9cgMFgMH8t5yuIiEqOhQURETmcf++z0Ol0+HX9Rvy6fiN0Op3561hYEBGVHAsLIiJyOCXZwF10MR6PPCciejIWFkRE5HBMhUJCQgLu3bv3yK+JiYkBADRo0ICL8YiISoCFBRERORxvb280aNAAwP9t1v43tkEREZUOCwsiInJI/56z+DcWFkREpcPCgoiIHFJxcxYGg8HcCsXCgoioZFhYEBGRQzIVFjExMQ8dMQsUzl6YFuP5+/uLEY+ISHK47YeIiBxSQEAAXFxccP/+fVy8eBHdu3UFULjngovxiIhKj3csiIjIIanVaoSEhAAoHOAODQlGaEgwlEqluT2KbVBERCXHwoKIiBzW4wa4ObhNRFR6vL9LREQOyzzAHRODfy5fBgB4uLtzMR4RURmwsCAiIodlKhySEhPx85p1AICQwAAAXIxHRFRabIUiIiKH5evrizp16sBoNJo/Z1qYxzYoIqLSYWFBREQO7d8FBPdXEBGVDQsLIiJyaP+eozh2/DgAFhZERKXFwoKIiBzavwuIzIwMuLq6cjEeEVEpsbAgIiKHFhgYCCcnp4c+x8V4RESlx8KCiIgcmkajQatWrR76HNugiIhKj2/HEBGRwwsNDUXUjkgAgMFgYGFBRFQGLCyIiMjhtW3bFvPnzzf/PRfjERGVHluhiIjI4RUtJBo2bAhvb28R0xARSRPvWBARkcOrXr06AlsFIT09nW1QRERlxDsWRETk8BQKBQJbBuB66jV06dJF7DhERJIkGI1Go9ghLCkzMxOenp7IyMiAh4eH2HGIiEgi7t27h7///hs9evSAIAhixyEisguleW3NVigiIiIAFStWRM+ePcWOQUQkWWyFIiIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjcWFkREREREVG4sLIiIiIiIqNxYWBARERERUbmxsCAiIiIionJjYUFEREREROXGwoKIiIiIiMqNhQUREREREZUbCwsiIiIiIio3FhZERERERFRuLCyIiIiIiKjcWFgQEREREVG5sbAgIiIiIqJyY2FBRERERETlxsKCiIiIiIjKjYUFERERERGVGwsLIiIiIiIqNxYWRERERERUbiwsiIiIiIio3FhYEBERERFRubGwICIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjeV2AEszWg0AgAyMzNFTkJEREREJG2m19Sm19jFkV1h8eDBAwBArVq1RE5CRERERCQPDx48gKenZ7FfIxhLUn5IiMFgwPXr1+Hu7g5BEETJkJmZiVq1auHq1avw8PAQJQPJA7+XyFL4vUSWwu8lshR+L0mD0WjEgwcPUL16dSgUxU9RyO6OhUKhQM2aNcWOAQDw8PDg/yhkEfxeIkvh9xJZCr+XyFL4vWT/nnSnwoTD20REREREVG4sLIiIiIiIqNxYWFiBk5MTZs2aBScnJ7GjkMTxe4kshd9LZCn8XiJL4feS/MhueJuIiIiIiGyPdyyIiIiIiKjcWFgQEREREVG5sbAgIiIiIqJyY2FBRERERETlxsLCCr7//nvUrVsXzs7OaNOmDY4ePSp2JJKY2bNnIzQ0FO7u7qhatSr69u2LpKQksWORxM2ZMweCIOCtt94SOwpJUGpqKoYOHYrKlSvDxcUF/v7+OH78uNixSGL0ej0+/PBD1KtXDy4uLmjQoAE+/fRT8CwheWBhYWG//fYbpkyZglmzZuHEiRNo2bIlwsLCkJ6eLnY0kpA///wTEyZMwJEjRxAdHY2CggJ069YN2dnZYkcjiTp27BiWLVuGgIAAsaOQBN27dw/t27eHWq3Gjh07cO7cOcybNw8VK1YUOxpJzJdffoklS5Zg0aJFSEhIwJdffomvvvoK3333ndjRyAJ43KyFtWnTBqGhoVi0aBEAwGAwoFatWpg4cSKmT58ucjqSqlu3bqFq1ar4888/0bFjR7HjkMRkZWUhKCgIixcvxmeffYbAwEAsWLBA7FgkIdOnT8dff/2FgwcPih2FJK5Xr16oVq0afvzxR/Pn+vXrBxcXF6xevVrEZGQJvGNhQVqtFrGxsejSpYv5cwqFAl26dMHhw4dFTEZSl5GRAQCoVKmSyElIiiZMmICePXs+9LOJqDS2bt2KkJAQDBgwAFWrVkWrVq3www8/iB2LJKhdu3bYs2cPzp8/DwA4deoUDh06hO7du4ucjCxBJXYAObl9+zb0ej2qVav20OerVauGxMREkVKR1BkMBrz11lto3749WrRoIXYckphff/0VJ06cwLFjx8SOQhJ26dIlLFmyBFOmTMF7772HY8eO4c0334RGo8Hw4cPFjkcSMn36dGRmZsLPzw9KpRJ6vR6ff/45hgwZInY0sgAWFkR2bsKECThz5gwOHTokdhSSmKtXr2LSpEmIjo6Gs7Oz2HFIwgwGA0JCQvDFF18AAFq1aoUzZ85g6dKlLCyoVNavX481a9Zg7dq1aN68OeLi4vDWW2+hevXq/F6SARYWFlSlShUolUrcvHnzoc/fvHkTPj4+IqUiKXvjjTewfft2HDhwADVr1hQ7DklMbGws0tPTERQUZP6cXq/HgQMHsGjRIuTn50OpVIqYkKTC19cXzZo1e+hzTZs2xe+//y5SIpKqadOmYfr06Rg0aBAAwN/fH5cvX8bs2bNZWMgAZywsSKPRIDg4GHv27DF/zmAwYM+ePWjbtq2IyUhqjEYj3njjDWzatAl79+5FvXr1xI5EEtS5c2ecPn0acXFx5o+QkBAMGTIEcXFxLCqoxNq3b/+fI6/Pnz+POnXqiJSIpConJwcKxcMvP5VKJQwGg0iJyJJ4x8LCpkyZguHDhyMkJAStW7fGggULkJ2djVdffVXsaCQhEyZMwNq1a7Flyxa4u7sjLS0NAODp6QkXFxeR05FUuLu7/2cux9XVFZUrV+a8DpXK5MmT0a5dO3zxxRcYOHAgjh49ioiICERERIgdjSSmd+/e+Pzzz1G7dm00b94cJ0+exPz58zFy5Eixo5EF8LhZK1i0aBG+/vprpKWlITAwEAsXLkSbNm3EjkUSIgjCIz+/YsUKjBgxwrZhSFY6derE42apTLZv344ZM2YgOTkZ9erVw5QpUzB69GixY5HEPHjwAB9++CE2bdqE9PR0VK9eHYMHD8bMmTOh0WjEjkflxMKCiIiIiIjKjTMWRERERERUbiwsiIiIiIio3FhYEBERERFRubGwICIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjcWFkREREREVG4sLIiIiIiIqNxYWBARERERUbmxsCAiIiIionL7f3n2X9qhXcX8AAAAAElFTkSuQmCC" 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" }, "metadata": {}, "output_type": "display_data" } ], + "execution_count": 12 + }, + { + "cell_type": "code", "source": [ "plt_path = _plot_path(\n", - " x, y, metric=\"wdtw\", title=\"wdtw path g 0.3\", dist_kwargs={\"g\": 0.3}\n", + " x, y, method=\"wdtw\", title=\"wdtw path g 0.3\", dist_kwargs={\"g\": 0.3}\n", ")\n", "plt_path.show()\n", "plt_alignment = _plot_alignment(\n", - " x, y, metric=\"wdtw\", title=\"wdtw alignment g 0.3\", dist_kwargs={\"g\": 0.3}\n", + " x, y, method=\"wdtw\", title=\"wdtw alignment g 0.3\", dist_kwargs={\"g\": 0.3}\n", ")\n", "plt_alignment.show()" ], @@ -521,10 +551,34 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2023-10-12T12:51:14.586313Z", - "start_time": "2023-10-12T12:51:14.145629Z" + "end_time": "2024-12-05T16:18:42.385083Z", + "start_time": "2024-12-05T16:18:42.049502Z" } - } + }, + "id": "bdf598d85ed51975", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" 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E5ORkc0P3999/L3U0IiKb4ogFERERERFlG3ssiIiIiIgo21hYEBERERFRtuW4Hguj0Yi4uDjkzp07UxsTERERERHRq4miiCdPnsDLywsKxZvHJHJcYREXFwdvb2+pYxARERER5Ri3b99GsWLF3vicHFdY5M6dG8Dz//g8efJInIaIiIiISL6Sk5Ph7e1t/o79JjmusDBNf8qTJw8LCyIiIiIiC8hMiwGbt4mIiIiIKNtYWBARERERUbaxsCAiIiIiomxjYUFERERERNnGwoKIiIiIiLKNhQUREREREWUbCwsiIiIiIso2FhZERERERJRtLCyIiIiIiCjbWFgQEREREVG2sbAgIiIiIqJsY2FBRERERETZxsKCiIiIiIiyjYUFERERERFlGwsLIiIiIiLKNhYWRERERESUbSwsiIiIiIgo21hYEBERERFRtrGwICIiIiKibGNhQURERERE2cbCgoiIiIiIso2FBRERERERZRsLCyIiIiIiyjYWFkRERERElG0sLIiIiIiIKNtYWBARERERUbaxsCAiIiIiomxjYUFERERERNnGwoKIiIiIiLKNhQURERFlSnJyMrp27Yrff/9d6ihEZIdYWBAREVGmzJ07F2UrVsbft+8iPT1d6jhEZGdYWBAREdFbGY1GLFmyxPznCxcuSJiGiOwRCwsiIiJ6q3379uH69evmPx84cEDCNERkj1hYEBER0Vv99ttvGf68f/9+iZIQkb1iYUFERERvFB8fj40bN2a470BkJAwGgzSBiMgusbAgIiKiN1qyZAn0ej1q1qxpvi/p8WPExsZKF4qI7A4LCyIiInoto9GIBQsWAAA++6x3hsf27dsnRSQislMsLIiIiOi1wsLC8Pfff8Pd3R2dOnVE6VKloFIoIIoiCwsiyoCFBREREb2WqWn7008/RZ48edC1cye0adUCer0ekZGR0Ol0EickInvBwoKIiIheKS4uDps3bwYA9OvXz3x/xYoVUaBAAaSkpODYsWNSxSMiO8PCgoiIiF5p8eLFMBgMqFu3LipWrGi+X6FQoGHDhgDYZ0FE/2JhQURERC8xGAzmpm3TaIVWq8XEyVMxcfJUBAUFAWBhQUT/YmFBREREL9m1axdu3bqFvHnzolOnTub7dToddDodAgMDAQBRUVFITU2VKiYR2REWFkRERPQSU9N2z5494eLi8tLjpUuXhpeXF9LT0xEdHW3reERkh1hYEBERUQZ37tzB1q1bAQB9+/Z95XMEQUCjRo0AcDoUET3HwoKIiIgyWLRoEYxGIxo0aIBy5cq99nksLIjoRSwsiIiIyEyv12PhwoUAMi4x+yqmwuLYsWN48uSJ1bMRkX1jYUFERERmO3bswJ07d5A/f3589NFHb3yur68vSpQoAb1ej4MHD9ooIRHZKxYWREREZGZq2g4ODoaTk1OGxwRBgK+PN3x9vCEIAgBOhyKif7GwICIiIgDArVu3sGPHDgCvbtpWq9Xo2b0benbvBrVaDYCFBRH9i4UFERERAQAWLlwIo9GIhg0b4v3338/Ua0w7cJ88eRIPHz60ZjwisnMsLIiIiAh6vR6LFi0C8Pam7RcVKVIE5cqVgyiK2L9/v7XiEZEMsLAgIiIibN26FXFxcfD09ET79u1f+RytVosp06ZjyrTp0Gq15vs5HYqIABYWREREhH+btnv16gWNRvPa5z1LTcWz1NQM95kKi/DwcOsFJCK7x8KCiIjIwd24cQO7du0CAPTp0yfLrw8MDIQgCDh37hzu379v6XhEJBMsLIiIiBzcggULIIoimjRpgtKlS2f59fnz54efnx8AjloQWdLs2bNx6NAhGI1GqaNkCgsLIiIiB6bT6bB48WIAWWva/i/2WRBZVkJCAoYOHYr69evjxo0bUsfJFJXUAYiIiEg6mzdvRnx8PAoVKoQPPvjgnY/TqFEj/PLLLywsiCxk/YYN+Pq7HwAAxYoVkzhN5nDEgoiIyIGZmrY/++wz86Z37yIgIABKpRLXrl3DrVu3LBWPyGFtWL9e6ghZxsKCiIjIQV27dg1hYWEQBCFTTduCIMCrSGF4FSkMQRAyPJYnTx7UrFkTAPssiLLrn3/+keW+MCwsiIiIHNSCBQsAAM2aNUOJEiXe+ny1Wo2QXsEI6RX8ytEN9lkQWcbGjRthMBikjpFlLCyIiIgckFarxZIlSwBkr2n7RQ0bNgTwvLAQRdEixyRyRH/99ZfUEd4JCwsiIiIHtHHjRjx48ABFihRBmzZtLHLMunXrQqPR4M6dO7h69apFjknkaB4+fIg9e/ZIHeOdsLAgIiJyQKam7d69e2e6aVun02H67DmYPnsOdDrdS4+7urrC398fAKdDEb2rzZs3Q6/Xo2LFilJHyTIWFkRERA7mypUr2LdvHwRBQEhISKZfJ4oikpKSkZSU/NqpTuyzIMqetWvXAgA+bN8epUuVQulSpaBQyOMrO/exICIicjDz588HALRs2RK+vr4WPXajRo3w9ddfIzw8HKIovrR6FBG93uPHjxEWFgYA+LhTJ5QtW1biRFkjj/KHiIiILCI9PR1Lly4FYLmm7RfVqlULrq6uSEhIwLlz5yx+fKKcbPPmzdDpdKhQoYLsigqAhQUREZFDWb9+PRITE1G0aFG0atXK4sfXaDQICAgAwOlQRFllmgbVqVMniZO8GxYWREREDsTUtB0SEgKVyjozol9cdpaIMicpKQm7d+8G8Lyw0Gq1mDh5KiZOngqtVitxusxhYUFEROQgLl68iP3790OhUGSpaTurTA3cERERstzki0gKW7ZsgVarRbly5VC+fHkAz1die9UKbPaKhQUREZGDMDVtt27dGsWKFcvy6wVBgGeBAvAsUOCNTdlVq1aFu7s7kpKScPLkyXfOS+RITJviyXUaFMDCgoiIyCGkpaVh2bJlAN69aVutVmNA3xAM6Bvyxr0vVCoVAgMDAXA6FFFmJCcnY+fOnQCAjh07Spzm3bGwICIicgB//fUXHj58CB8fH7Ro0cLq5+N+FkSZt23bNqSnp6NMmTKy3BjPhIUFERGRA3ixaVupVFr9fKbC4uDBg7JpPCWSimk1qI4dO8p67xerFhYHDhxA27Zt4eXlBUEQsHHjxjc+PyIiAoIgvPQTHx9vzZhEREQ52rlz53Dw4EEolUr07t37nY+j0+kwd/5CzJ2/8K0NpRUqVECBAgWQkpKCY8eOvfM5iXK6p0+fYseOHQDk3V8BWLmwSElJgZ+fH2bPnp2l1126dAn37t0z/xQsWNBKCYmIiHI+U9O26WLfuxJFEQmJiUhITIQoim98rkKh4LKzRJmwbds2pKWloXTp0qhcubL5fkEQ4OvjDV8fb9mMYlhnAev/17JlS7Rs2TLLrytYsCA8PDwsH4iIiMjBpKamYvny5QCss9P2mzRq1Ahr167Fvn378NVXX9n03ERy8eKmeC8WEGq1Gj27d5Mq1juxyx6LKlWqoEiRImjatCkOHTokdRwiIiLZ+vPPP/H48WMUL14czZo1s+m5TX0WUVFRSE1Ntem5ieQgJSUF27dvByDv1aBM7KqwKFKkCObNm4d169Zh3bp18Pb2RlBQEGJiYl77mvT0dCQnJ2f4ISIioudMTdt9+vSBQmHbj/333nsPRYsWhVarRVRUlE3PTSQH27dvR2pqKkqWLImqVatKHSfb7KqwKFOmDPr164fq1aujbt26WLx4MerWrYtp06a99jUTJ06Eu7u7+cfb29uGiYmIiOzXmTNnEB0dDZVKhc8++8zm5xcEgcvOEr3Bi5vi/bePQqvVYsq06ZgybbpsVlazq8LiVWrVqoWrV6++9vGxY8ciKSnJ/HP79m0bpiMiIrJfptGKDz74AIULF5Ykg6mwCA8Pl+T8RPbq2bNn2Lp1K4DXT4N6lpqKZzKaRmjV5m1LiI2NRZEiRV77uJOTE5ycnGyYiIiIyP6lpKTg999/B2C5pm1BEODunsd8OzNMK0MdPXoUT548Qe7cuS2ShUjudu7ciWfPnqF48eKoXr261HEswqqFxdOnTzOMNvz999+IjY1Fvnz54OPjg7Fjx+Lu3bvm1Sp+/fVXlChRAhUqVEBaWhoWLlyIffv2Yffu3daMSURElOOsWbMGycnJKFmyJBo3bmyRY6rVaoQOGpil1/j6+qJkyZK4fv06IiMj0apVK4tkIZK7nLIp3ousOhXq+PHjqFq1qrkZZfjw4ahatSrGjx8PALh37x5u3bplfr5Wq8WIESNQqVIlBAYG4tSpU9izZ4/F3hCJiIgchWkaVN++fW3etP1f7LMgyig1NRVbtmwBIP9N8V5k1RGLoKCgN26gs3Tp0gx/Hj16NEaPHm3NSERERDlebGwsjh49CrVajV69ekkdB40aNTLPQiAiYNeuXUhJSYGPjw9q1qwpdRyLsfvmbSIiIsoa02hF+/btUbBgQYsdV6fTYeGSpVi4ZCl0Ol2mX2fqs4iNjcXDhw8tlodIrnLiNCiAhQUREVGO8vTpU6xcuRKA5XfaFkURcffiEXcv/o0zEv6rcOHCKF++PERRxP79+y2aiUhu0tLSzNOg3rQpniAI8CpSGF5FCsum+GBhQURElIOsXr0aT548wXvvvWceKbAH7LMgem737t148uQJihUrhtq1a7/2eWq1GiG9ghHSKxhqtdqGCd8dCwsiIqIcZN68eQCeN23b01VOU5HDwoIcnWlTvI4dO0q+sIKl5az/GiIiIgd2/PhxxMTEQKPRIDg4WOo4GQQGBkIQBJw/fx7x8fFSxyGSRHp6OjZt2gTgzdOg5IqFBRERUQ5hatr+6KOPUKBAAYnTZJQ/f35UqVIFAHfhJse1Z88eJCcnw8vLC/7+/m98rk6nw/TZczB99pwsLZYgJRYWREREOUBycjJWr14NwPJN25bCPgtydKbVoD766KO3ToMSRRFJSclISkrO0mIJUmJhQURElAOsXLkSKSkpKFu2LBo0aGC187i6uMDVxeWdXsvCghyZVqs1T4PKSZvivciqG+QRERGR9YmimGGnbWs1bWs0GowcFvrOrw8ICIBSqcT169dx8+ZN+Pr6WjAdkX3bu3cvHj9+jMKFC6Nu3bpSx7EKjlgQERHJ3NGjR3Hq1Ck4OTmhZ8+eUsd5rdy5c6NWrVoA2GdBjufFaVBKpVLiNNbBwoKIiEjmTKMVnTp1Qr58+SRO82ZcdpYckU6nw8aNGwHkzNWgTFhYEBERydjjx4/xxx9/ALB+07ZOp8OyFSuxbMXKd16l5sU+C7k0pBJl1759+/Do0SMUKlQIAQEBUsexGvZYEBERydiKFSuQmpqK8uXLo169elY9lyiKuHnrtvn2u6hbty40Gg3u3r2LK1eu4P3337dkRCK7ZNoUr0OHDpmeBiUIAjz/f9loe9rs8k1YWBAREcnUi03b/fr1k8WXDxcXF9StWxcRERHYt28fCwvK8XQ6HTZs2AAga9Og1Go1BvQNsVYsq+BUKCIiIpmKjo7G2bNn4ezsjE8//VTqOJnGZWfJkezfvx///PMPPD09rboUtD1gYUFERCRTptGKzp07I2/evBKnyTxTYREREQGj0ShxGiLrMq0G1b59e6hUOXuyEAsLIiIiGXr06BH+/PNPAPa70/br1KxZE66urkhISMC5c+ekjkNkNXq93jwNKqub4ul0OsydvxBz5y9858USbI2FBRERkQwtX74caWlpqFSpEurUqSN1nCzRaDTmlXE4HYpysgMHDiAhIQH58+dHUFBQll4riiISEhORkJgomxXUWFgQERHJjJRN22q1Gmq1OtvHYZ8FOQJHmgYFcFUoIiIi2Tl48CAuXLgAV1dXdO/e3Wbn1Wg0GDtqhEWO9WKfhV6vd4gvXeRYDAYD1q9fDyBnb4r3Io5YEBERyYxptKJLly5wd3eXOM27qVq1Ktzd3ZGcnIyTJ09KHYfI4iIjI/HgwQPky5fPXEjndCwsiIiIZOSff/4xb7Ylt6btFymVSvOcc06HopzI9O/0ww8/tMj0QTlgYUFERCQjy5YtQ3p6OqpUqYKaNWva9Nx6vR6r1qzFqjVrodfrs30801Xc8PDwbB+LyJ4YDAasW7cOgONMgwLYY0FERCQboihi/vz5AKTZadtoNOLqtWvm29nVsGFDAM+njGi1Wmg0mmwfk8geREVFIT4+Hh4eHmjcuPE7HUMQBLi75zHflgMWFkRERDKxf/9+XLp0CW5ubujatavUcbKtQoUK8PT0REJCAo4ePYr69etLHYnIIkyrQX3wwQfvXDCr1WqEDhpoyVhWx6lQREREMmFq2u7atSvy5MkjcZrsUygU5lEL9llQTmE0Gs3ToLK6KZ7csbAgIiKSgYSEBPOXFTk3bf8X97OgnCY6OhpxcXHIkycPmjRpInUcm+JUKCIiIhlYunQpdDodqlevjurVq0sdx2JMhUV0dDRSU1Ph4uIicSKi7HlxGpSTk9M7H0en02HZipUAgJ7du8liZSmOWBAREdk5o9GYoWk7JyldujSKFSsGrVaLqKgoqeMQZcuL06CyuxqUKIqIuxePuHvxEEXREvGsjoUFERGRnQsPD8fVq1eRO3dufPLJJ1LHsShBEDgdinKMI0eO4M6dO8idOzeaNWsmdRyb41QoIiIiO2dq2u7evTty5colWQ6NRoPx48ZY/LgNGzbE8uXLWViQ7Jk2xWvXrh2cnZ0lTmN7HLEgIiKyY/fv38eGDRsA5LxpUCamlaGOHTuG5ORkidMQvRtRFM2FhSNtivciFhZERER2bMmSJdDr9ahduzb8/PykjmMVvr6+KFWqFAwGAyIjI6WOQ/ROjh07hlu3biFXrlxo3ry51HEkwcKCiIjIThmNRixYsACAfYxW6PV6rF2/AWvXb4Ber7fosdlnQXJnWg2qTZs2Dru6GQsLIiIiO7Vnzx5cv34d7u7u6Ny5s9RxYDQaceHiJVy4eAlGo9Gix2ZhQXL24jQoS26K5+riAlcZFSls3iYiIrJTpqbtTz/9FK6urhKnsS5Tn8WpU6fwzz//IH/+/BInIsq8EydO4MaNG3B1dUWLFi0sckyNRoORw0Itcixb4YgFERGRHbp37x42bdoEwD6mQVlboUKFUKFCBYiiiP3790sdhyhLXpwGldMvArwJCwsiIiI7tHjxYhgMBtStWxcVK1aUOo5NmEYtOB2K5ISrQf2LhQUREZGdMRgMdtW0bSvssyA5OnnyJK5fvw4XFxe0atXKYsfV6XRYtmIllq1YCZ1OZ7HjWhN7LIiIiOzM7t27cfPmTeTNm9eijaD2LjAwEIIg4MKFC7h37x6KFCkidSSitzKNVrRu3Rpubm4WO64oirh567b5thxwxIKIiMjOmJq2e/To4VDLVubLlw9Vq1YFAISHh0uchujtRFE091c4+jQogIUFERGRXbl79y62bt0KwP6mQanVaowZORxjRg6HWq22yjk4HYrk5PTp07h69SqcnZ3RunVrqeNIjoUFkR27c+cOjhw5InUMIrKhRYsWwWAwICAgAOXKlZM6TgaCIECj0UCj0UAQBKucw1RYcMSC5MA0WtGyZUvkypVL4jTSY2FBZKeePn2KunXrwt/fH1FRUVLHISIbMBgMWLhwIQD7G62wlfr160OpVOL69eu4ceOG1HGIXuvFaVCO1Av1JiwsiOzUDz/8gJD+A/HN9z/i1+nTpY5DRDawY8cO3L59G/nz58dHH30kdZyX6PV6bNqyFZu2bIVer7fKOXLnzo1atWoB4KgF2bezZ8/i8uXLcHJyQps2baSOYxdYWBDZocuXL2PGjBnmP2/ZvBm3bt2SMBER2YKpabtnz55wdnaWOM3LjEYjTp05i1NnzsJoNFrtPOyzIDkwjVa0aNECuXPntso51Gq11fqZrIGFBZGdEUURn3/+eYY1qw0GA2bPni1hKiKyttu3b2P79u0AgL59+0qcRlovFhZyWWaTHI+1N8XTaDQYO2oExo4aAY1GY5VzWBoLCyI7s3XrVuzYseOlKxQLFixASkqKRKmIyNoWLlwIo9GIoKAglClTRuo4kvL394eTkxPi4uJw+fJlqeMQveTcuXO4cOECNBoN2rZtK3Ucu8HCgsiOpKWl4fPPPwcADBkyxHx/8eLF8ejRI6xYsUKiZERkTXq93uGbtl/k4uKCunXrAmCfBdkn02hF8+bN4e7uLnEa+8HCgsiOTJkyBdevX4eXlxe++OIL8/39+/cHAMyYMYPTAohyoG3btiEuLg4FChRA+/btpY5jF9hnQfbMFpvi6fV6rFqzFqvWrLXaYgmWxsKCyE7cvHkTP/74I4DnBYabm5v5sR49eiBXrlw4f/489uzZI1VEIrISU9N2r1694OTkJHEa+9CwYUMAz0csrNkoTpRVFy5cwLlz56BWq9GuXTurncdoNOLqtWu4eu2abP4NsLAgshMjR45EamoqGjRogC5dukChUKB0qVIoXaoUPDw8EBwcDAAZVosiIvm7ceMGdu7cCYBN2y+qWbMm3NzckJiYiLNnz0odh8jMNA2qadOm8PDwkDaMnWFhQWQH9u7di7/++gsKhQIzZ86EIAhQqVTo2rkTunbuBJVKZe652LZtG65evSpxYiKylIULF0IURTRu3BilS5eWOs4bqdVqjAgdihGhQ62+BKZGo0FAQAAAToci+2IqLLgp3stYWBBJTKfTmYuGgQMHonLlyq983vvvv49WrVpBFEXMnDnTlhGJyEp0Oh0WLVoEQB5N24IgwM3NFW5urhAEwernY58F2ZvLly/j9OnTUKlUVp0GJVcsLIgkNmvWLFy4cAEFChTAt99++8bnhoaGAgCWLFmC5ORkW8QjIivasmUL4uPjUbBgQXzwwQdSx7E7psJi//79smlepZzN1LTdpEkT5MuXT+I09oeFBZGE4uPj8fXXXwMAJk6ciLx585of02q1mDh5KiZOngqtVgvg+XzOsmXL4smTJ1iyZIkkmYnIckxN25999pksNsDS6/XYvnM3tu/cbZMv+lWqVIGHhweSk5Nx8uRJq5+P6G2svSme3LGwIJLQmDFj8OTJE9SoUQOfffbZS4/rdLoMO3ALgoChQ4cCAGbOnAmDwWCzrERkWdevX8fu3bsBAH369JE4TeYYjUYcj4nB8ZgYm6xSo1QqERQUBIDToUh6V69eRWxsLJRKJT788EOp49glFhZEEomOjsayZcsAPJ8OpVBk7p9jjx494OHhgWvXrmH79u3WjEhEVrRgwQIAQLNmzVCyZEmJ09gv07KzLCxIaqbRikaNGiF//vxWP59Go8H4cWMwftwYWYxoAiwsiCRhMBgwePBgAM/Xra9du3amX+vm5oaQkBAAwPTp062Sj4isS6vVYvHixQDk0bQtJVOfRWRkpHlaKJEUTP0VXA3q9VhYEElg0aJFiImJgbu7OyZOnJjl1w8ePBgKhQJ79+7l+u5EMrRp0yY8ePAAhQsXRtu2baWOY9cqVKgAT09PpKam4siRI1LHIQd1/fp1xMTEQKlUon379lLHsVssLIhs7OHDhxg3bhwAYMKECShUqFCWj+Hr62ue38mlZ4nkx9S03bt3b6vvByF3giBw2VmSnGkaVFBQEAoUKGCTc+r1eqxdvwFr12+QzapoLCyIbOyrr77CP//8gwoVKmDgwIHvfBzT0rO///47Hj58aKl4RGRlV69exd69eyEIgmyatqXGwoKkJsWmeEajERcuXsKFi5dssliCJbCwILKh2NhYzJs3D8DzkYY3XakUBAG+Pt7w9fF+5UZUAQEBqFKlClJTU81NoERk/+bPnw8AaNGiBXx9fSVOIw+mwuLw4cN49uyZxGnI0dy4cQPHjh2DQqHgNKi3YGFBZCOiKGLIkCEwGo34+OOPzSudvI5arUbP7t3Qs3u3VxYgLy49O3v2bNkMkxI5svT0dPMeNHJs2lar1Rg6sD+GDuxv0ylcpUqVgre3N7RaLaKiomx2XiLg39GKwMBAFCxYUOI09o2FBZGNrFq1CgcPHoSrqyumTJlikWN+8skn8PT0xO3bt7FhwwaLHJOIrGfDhg1ITExE0aJF0bp1a6njZJkgCPDw8ICHh8crR1KteV4uO0tS4aZ4mcfCgsgGnjx5glGjRgEAvvzyS3h7e1vkuM7Ozuarnlx6lsj+vdi0rVKpJE4jL+yzICncunULR44cgSAI6NChg9Rx7B4LCyIb+O6773Dv3j2ULl0aI0aMyNRrtFotpkybjinTpr9x7fYBAwZApVLh0KFDOHHihKUiE5GFXbp0CREREVAoFOa9aOTGYDAgbO8+hO3dB4PBYNNzm0Ysjh07hqSkJJuemxzXunXrADzvayxcuLDEaewfCwsiK7t48SKmTZsGAPj111/h5OSU6dc+S03Fs9TUNz7Hy8sLH3/8MQCOWhDZM1PTdqtWrSw2amlrBoMB0UeOIvrIUZsXFj4+PihdujSMRiMiIyNtem5yXNwUL2tYWBBZkSiKCA0NhV6vR+vWra02p9q09Owff/yB+Ph4q5yDiN5dWloali5dCkCeTdv2gtOhyJbu3LmD6OhoyaZBqdVqjBk5HGNGDpfNfjcsLIisaNOmTdi9ezc0Gg1+/fVXq52nVq1aqFOnDnQ6nXkONxHZj3Xr1uHhw4fw9vZGy5YtpY4jW6bCIjw8XOIk5AhM06Dq1asHLy8vm59fEARoNBpoNBqbLpaQHSwsiKwkNTUVw4YNAwCMHDkSpUuXtur5TKMWc+fORXp6ulXPRURZYyr4Q0JCoFQqJU4jX0FBQQCe7wn0zz//SBuGcjwpNsWTOxYWRFYyadIk3LhxA8WKFcO4ceOsfr6PPvoIXl5euH//Pv7880+rn4+IMuf8+fOIjIyEUqlE7969pY4ja4UKFUKFChUAABEREdKGoRwtLi4Ohw4dAgDJVoPS6/XYtGUrNm3ZKpu9qqxaWBw4cABt27aFl5cXBEHAxo0b3/qaiIgIVKtWDU5OTihdurR5TiqRnNy4cQM//fQTAGDq1Klwc3Oz+jnVajUGDhwI4HkTtyiKVj8nEb2dqWm7TZs2KFq0qMRp5I99FmQL69atgyiKqFu3LooVKyZJBqPRiFNnzuLUmbMwGo2SZMgqqxYWKSkp8PPzw+zZszP1/L///hutW7dGw4YNERsbi88//xwhISHYtWuXNWMSWdzw4cORlpaGhg0bvvMQqiAI8CpSGF5FCmd6bmXfvn3h5OSEEydOcHdaIjuQmpqKZcuWAWDTtqWwsCBb4KZ470YQbXRZUxAEbNiwAR9++OFrn/PFF19g27ZtOHv2rPm+Ll264PHjx9i5c2emzpOcnAx3d3ckJSUhT5482Y1NlGW7d+9G8+bNoVQqERsbi4oVK9r0/L1798bixYvRqVMnTokiktjy5cvRs2dP+Pr64tq1a7LvrxBFEQmJiQAAzwIFJGkoffToEfLnzw9RFHH37l1JmmopZ7t37x6KFi0KURRx8+ZN+Pj4SJJDq9Xipym/AADGjBwOjUYjSY6sfLe2qx6L6OhoNGnSJMN9zZs3R3R09Gtfk56ejuTk5Aw/RFLRarUYOnQoAGDw4ME2LyqAf5u4169fj9u3b9v8/ET0L1PTdp8+fWRfVADPLxIW9PREQU9PyVapyZs3L6pVqwaAfRZkHRs2bIAoiqhdu7ZkRYVc2VVhER8fj0KFCmW4r1ChQkhOTkbqazYJmzhxItzd3c0/ct10iHKGGTNm4NKlSyhYsCC++eYbSTJUrlwZQUFBMBgMmZ6GSESWd/bsWURFRUGlUuGzzz6TOk6OwulQZE3cFO/d2VVh8S7Gjh2LpKQk8w+v0JJU4uLiMGHCBADATz/9BA8Pj2wdT6fTYfrsOZg+ew50Ol2WXmsatZg/fz6ePXuWrRxE9G5MoxXt2rVDkSJFJE5jGQaDAREHIhFxINLmO2+/qGHDhgBYWJDl3b9/HwcOHADA/op3YVeFReHChXH//v0M992/fx958uSBi4vLK1/j5OSEPHnyZPghksIXX3yBp0+fonbt2ujZs2e2jyeKIpKSkpGUlJzlFZ7atm2LEiVK4NGjR1i5cmW2sxBR1jx79gy///47gJzVtG0wGHDg4CEcOHhI0sKifv36UKlU+Pvvv/H3339LloNyng0bNsBoNKJmzZrw9fWVOo7s2FVh4e/vj71792a4LywsDP7+/hIlIsqcgwcPYsWKFRAEATNnzoRCIe0/LaVSicGDBwPg0rNEUlizZg2SkpJQsmTJl3oHKfty586NWrVqAeAu3GRZ9rQpnlqtxojQoRgROhRqtVrqOJli1W8/T58+RWxsLGJjYwE8X042NjYWt27dAvB8GlOPHj3Mz+/fvz+uX7+O0aNH4+LFi5gzZw7+/PNP8+7FRPbIYDBgyJAhAJ6vyFSzZk2JEz332Wefwc3NDefOneN0ASIbe7FpW+oLDTkV+yzI0hISEsyFqj1MgxIEAW5urnBzc5VssYSssuq73fHjx1G1alVUrVoVwPO1/atWrYrx48cDeL6cl6nIAIASJUpg27ZtCAsLg5+fH6ZOnYqFCxeiefPm1oxJlC3z589HbGwsPDw88OOPP0odx8zDw8M8JWv69OkSpyFyHKdOncKRI0egUqnQq1cvqePkWC8WFhyVJUvYuHEjjEYjqlevjhIlSkgdR5ZU1jx4UFDQG/+xv2pX7aCgIJw8edKKqYgsJzExEV9++SUA4LvvvoOnp6fEiTIaOnQo5syZg61bt+LatWsoVaqU1JGIcjzTaEX79u1fWumQLMff3x9OTk64d+8eLl++jDJlykgdiWTOtBqUPYxWAIBer8fuPc9H5Jo1aQSVyqpf2y2C47NE2fC///0Pjx49QuXKldG/f3+p47ykTJkyaNGiBURRxMyZM6WOQ5TjPX36FCtWrACQs5q27ZGzszPq1asHgNOhKPsSExPNf4/spbAwGo04HhOD4zExMBqNUsfJFBYWRO/oxIkTmD9/PgBg5syZFr+SIAgCPAsUyPbutqalZxcvXswNJImsbPXq1Xjy5AlKly5tXhKVrIfLzpKlbNq0CQaDAVWqVEHp0qWljiNbLCyI3oHRaMSQIUMgiiI++eQTNGjQwOLnUKvVGNA3BAP6hmRrNYhmzZqhTJkyePLkySunHxKR5ZimQfXt2zdHNm2rVCr0Du6J3sE97WJahqnPIjw8XDZXdMk+cVM8y8h573pENrBixQpER0fDzc0NkydPljrOGykUCgwdOhTA85EVfvgSWceJEydw4sQJaDQaBAcHSx3HKhQKBYp6FUFRryJ2UTjVrFkTbm5u+Oeff3DmzBmp45BMPXz40Lzdgb1Mg5Ir6d8ViGQmKSkJo0ePBgB89dVXKFq0qMSJ3q5Hjx5wd3fH1atXsWPHDqnjEOVIptGKDh062N1CDjmVWq02jxhzOhS9q02bNkGv16Ny5cp4//33pY4jaywsiLLo22+/xf379/H+++/j888/t9p5dDod5s5fiLnzF0Kn02XrWLly5UJISAgALj1LZA3JyclYtWoVgJzdtG0wGBB1+AiiDh+RdOftF3E/C8oue9oUT+5YWBBlwfnz5zFjxgwAz7+gOzk5We1coigiITERCYmJFlmjffDgwVAoFAgLC8P58+ctkJCITFatWoWUlBSUKVMGgYGBUsexGoPBgD37wrFnX7jdFRYHDhyAXq+XOA3JzePHjxEWFgaA06AsgYUFUSaJooihQ4dCr9ejXbt2aNGihdSRsqR48eJo164dAJiLIyLKPlEUMzRty2WH3JzCz88PefPmRXJyMmJiYqSOQzKzefNm6HQ6VKxYEWXLlpU6TgZqtRpDB/bH0IH9s7WIiy2xsCDKpPXr12Pv3r1wcnLCtGnTpI7zTkxLzy5fvhwPHz6UOA1RznDs2DHExsbCycnJvNs92Y5SqTSPEnE6FGWVvW2K9yJBEODh4QEPDw/ZXLBgYUGUCc+ePcPw4cMBAKNHj0bJkiUlTvRuAgMDUblyZaSmpmLhwoVSxyHKEUyjFR07dkT+/PklTuOY2GdB7yIpKQm7d+8GwP4KS2FhQZQJP/30E27dugUfHx+MGTNG6jjvTBAE86jFrFmzOB+ZKJuSkpLwxx9/AMjZTdv2zlRYHDx4EOnp6RKnIbnYsmULtFotypUrh/Lly0sd5yUGgwFhe/chbO8+u+lpehsWFkRvcf36dUyaNAkA8Msvv8DV1VXiRNnTtWtXFChQALdv38bGjRuljkMkaytWrMCzZ89Qrlw51K9fX+o4Dqt8+fIoWLAgUlNTceTIEanjkEzY+6Z4BoMB0UeOIvrIURYWRDnFsGHDkJ6ejiZNmqBDhw42O68gCHB3zwN39zwWnVvp7OxsvrLKpWeJ3t2LTdv9+vWTzRzonEgQBE6HoixJTk7Grl27ANhvYSFHLCyI3mDHjh3YvHkzVCoVZsyYYdMvDmq1GqGDBiJ00ECLrwYxcOBAqFQqHDx4kKuoEL2jw4cP48yZM3B2dkaPHj2kjmMTKpUKPbp9gh7dPoFKpZI6TgamwiI8PFziJCQHW7duRXp6OsqUKYMKFSpIHSfHYGFB9Brp6enmfoShQ4eiXLlyEieyHC8vL/MVGi49S/RuTKMVH3/8MfLmzStxGttQKBQo7uuL4r6+UCjs6ytEw4YNAQDR0dF49uyZxGnI3r24KR5HGy3Hvt4ViOzIr7/+iitXrqBQoUL4+uuvpY5jcaaiafXq1bh//77EaYjk5dGjR1izZg0ANm3bi1KlSsHb2xs6nQ6HDh2SOg7ZsadPn2LHjh0A7HOZWTljYUH0Cnfv3sV3330HAJg0aRLy5Mlj8ww6nQ4LlyzFwiVLodPpLH782rVro1atWtBqteYrr0SUOb///jvS0tJQsWJF+Pv7Sx3HZgwGA44dP4Fjx0/YXTMp+ywos7Zt24a0tDS89957qFy5stRxchQWFkSvMGrUKKSkpKBu3bro3r27JBlEUUTcvXjE3YuHKIpWOYdp1GLu3LnQarVWOQdRTuPITdsGgwE7dodhx+4wuyssAO5nQZnz4qZ4jvTv1xZYWBD9x/79+7F69WoIgoCZM2fa3TxiS+rYsSOKFCmC+Ph4/Pnnn1LHIZKFQ4cO4fz583B1dcWnn34qdRx6ganP4vjx40hKSpI4DdmjlJQUbN++HYD9rwalVqvRv09v9O/T2+KLuFhLzv3GRPQO9Ho9hgwZAgDo27cvqlWrJnEi69JoNBg4cCCA50vPWmtkhCgnMY1WdOnSBe7u7hKnoRd5e3vjvffeg9FoRGRkpNRxyA5t374dqampKFmyJKpUqSJ1nDcSBAEFPT1R0NNTNiMrLCyIXjBv3jycOXMG+fLlww8//CB1HJvo168fnJyccPz4cURHR0sdh8iu/fPPP+ZpFGzatk+cDkVv8uKmeHL5si4nLCyI/l9CQgK++uorAMD333+P/PnzS5zINjw9PdG1a1cA3DCP6G2WL1+O9PR0VKlSBTVr1pQ6Dr2CaToUCwv6r2fPnmHbtm0A7H8aFPC8pyniQCQiDkTaZU/Tq7CwIPp/48aNw+PHj1GlShX07dtX6jg2ZWriXrduHe7cuSNxGiL75MhN23ISFBQEADh16hQSExOlDUN2ZceOHXj27BmKFy8ui6nOBoMBBw4ewoGDh1hYEMnJsWPHsGjRIgDArFmzoFQqJU70nKuLC1xdXKx+Hj8/PwQGBsJgMGDOnDlWPx+RHB04cACXLl2Cm5ubeZSP7E+hQoVQsWJFAEBERIS0YciucFM862NhQQ7PaDRi8ODBEEURn376KerVqyd1JADPG6tHDgvFyGGh0Gg0Vj+fadRi/vz5SE1Ntfr5iOTGNFrRtWtXSfa2sQcqlQpdPu6ILh93hEqlkjrOa7HPgv4rNTUVW7ZsAcBN8ayJhQU5vKVLl+Lo0aPInTs3fv75Z6njSKZdu3bw9fXFP//8g5UrV0odh8iuJCYmYt26dQAcu2lboVDg/dKl8X7p0na9FDcLC/qvXbt2ISUlBT4+PuyPsiL7fVcgsoHHjx9jzJgxAIDx48ejSJEiEieSjlKpxODBgwFw6Vmi/1q6dCm0Wi2qV6+O6tWrSx2H3iIwMBAKhQKXLl1CXFyc1HHIDnBTPNtgYUEO7ZtvvkFCQgLKli2LoUOHSh0nA51Oh2UrVmLZipXQ6XQ2OWfv3r3h6uqKs2fPIjw83CbnJLJ3oihi/vz5ABx7tAJ43kwae/o0Yk+ftutmUg8PD3NzLt/LKC0tzTwNSg6rQckZCwtyWGfPnsWsWbMAADNmzLBJH0NWiKKIm7du4+at2zYbPcibNy969uwJgEvPEpmEh4fjypUryJ07Nz755BOp40jKYDBg89bt2Lx1u10XFgCXnaV/7d69G0+ePEGxYsVQq1YtqePkaCwsyCGJooghQ4bAYDCgQ4cOaNq0qdSR7IZp5GbLli24du2axGmIpGdq2u7WrRty5colcRrKLPZZkMmL06DsuTfov1QqFXoH90Tv4J52vVjCi+Tz2yWyoD///BMRERFwdnbG1KlTpY5jV8qWLYvmzZtDFEXziA6Ro3rw4AE2bNgAgNOg5KZ+/fpQqVS4ceMG/v77b6njkETS09OxefNmAPKbBqVQKFDUqwiKehWRTUEkj5REFpSSkoKRI0cCAMaMGYPixYtLG8gOmZaeXbx4MZ48eSJxGiLpLFmyBDqdDrVq1UKVKlWkjkNZkCtXLtSuXRsARy0cWVhYGJKTk1G0aFHUqVNH6jg5HgsLK7h16xYmTZpk9/NPHdWPP/6IO3fuoHjx4hg9erTUcexS8+bN8f777yM5ORnLli2TOg6RJIxGI5u2ZY7Toci0Kd5HH30km6v+JgaDAVGHjyDq8BHZfKeU129YBoxGI4KDg/HFF18gMDAQ169flzoSveDq1auYMmUKAGDatGlwscGu1nKkUCjMvRYzZsyA0WiUOBGR7e3duxfXr19Hnjx50LlzZ6nj0DswFRbh4eFcQtsBabVabNq0CYA8N8UzGAzYsy8ce/aFs7BwVDqdDkFNmmHCDxNx9OhR+Pn5YdGiRXxDsxOff/45tFotmjdvjg8++EDqOG+lVquhVqslOXePHj2QJ08eXLlyBTt37pQkA5GUTE3bn376Kdzc3CROQ++iTp06cHZ2xr1793Dp0iWp45CN7d27F48fP0aRIkVQr149qeM4BBYWFvbipit169XD06dPERISgvbt2+PBgwcSJqOtW7di27ZtUKvVmD59ut1vkKPRaDB21AiMHTVCkqVwc+fOjd69ewPg0rPkeOLj481XOjkN6l8qlQod23+Iju0/lMUqNc7Ozqhbty4ATodyRKbVoDp06CC7aVByxd+yFe3Yvh2TJk2CWq3Gpk2bUKlSJfMGLWRbaWlp+PzzzwE8H7UoU6aMtIFkYvDgwRAEAbt378aFCxekjkNkM4sXL4Zer4e/vz8qVaokdRy7oVAoUL5cWZQvV1Y2X9TYZ+GYdDodNm7cCEB+q0HJmTzeFWRKqVRi1KhROHbsGCpWrIgHDx6gXbt26Nu3L54+fSp1PIfyyy+/4Nq1ayhSpAi++uorqePIRsmSJdGuXTsAz3stiByB0WjEggULAHC0Iid4sc+C/WKOY9++fXj06BEKFSqE+vXrSx3HYbCwsAE/Pz8cO3YMI0eOhCAIWLBgAfz8/BAVFSV1NIdw+/Zt/PDDDwCAyZMnI3fu3BInyhy9Xo9Va9Zi1Zq10Ov1kuUwLT27fPlyPHr0SLIcRLaye/du3LhxAx4eHvj444+ljmNXjEYjzl+4iPMXLsrmS3qNGjWQK1cuPHz4EKdPn5Y6DtnIi9OglEqlxGkcBwsLG3F2dsbkyZOxb98++Pj44Pr16wgICMD//vc/aLVaqePlaCNHjsSzZ89Qv359dO3aVeo4mWY0GnH12jVcvXZN0g/woKAgVK5cGc+ePcPChQsly0FkK6am7R49enDluP/Q6/X4a8NG/LVho6QXPLJCrVajQYMGADgdylHodDrzxpZyXA1KzlhY2FhQUBBOnz6NTz/9FEajET/88AP8/f05f91K9u3bhz///BMKhQKzZs2y+4ZteyQIgnnp2VmzZsnmywTRu4iLizP3wnEaVM7x4nQoyvkiIiLw8OFDeHp6motKOVKpVOjR7RP06PaJLBZLAFhYWJxCoUDpUqVQulSp1za2ubu7Y/ny5fjzzz+RL18+xMTEoFq1atwvwMJ0Op35C/GAAQPg5+cncSL56tq1K/Lnz49bt25h8+bNUschsppFixbBYDCgfv36KF++vNRxyEIaNmwIANi/fz8vjjgA06Z4HTp0kM0X8ldRKBQo7uuL4r6+slksQR4pZUSlUqFr507o2rnTW/8yd+rUCWfOnEGzZs2QlpaG0NBQNG/eHHfu3LFR2pxt9uzZOHfuHPLnz49vv/1W6jiy5uLiYr56y6VnKacyGAxs2s6h/Pz8kDdvXjx58gQnTpyQOg5ZkV6vx/r16wFwGpQUWFhIzMvLCzt37sSsWbPg4uKCPXv2oFKlSlizZo3U0WTt/v37+PrrrwEAP/74I/LlyydxIvkbMGAAlEolDhw4gNjYWKnjEFmU0WjEqlWrcPv2beTLl49fSHIYpVKJoKAgAOyzyOkOHDiAxMRE5M+f3/z/XK4MBgOOHT+BY8dPcOdtyjxBEDBo0CDExMSgRo0aePz4Mbp06YJu3bpxFZ53NHbsWCQnJ6N69ermTd4oe4oVK2b+ssVRC8oJEhMTsXr1avTs2RNeXl7o0aMHAKBnz55wdnaWOB1ZGvezcAym1aDat28v62lQwPPCYsfuMOzYHcbCwlFptVpMnDwVEydPzfJqT2XLlkVUVBTGjx8PpVKJVatWoXLlyti7d6+V0uZMhw8fxpIlSwA8bzbmMnOWY1p6dtWqVdxJnmTHYDAgOjoaX3/9NWrXro2CBQuia9euWL58OR4+fIgJP0zEhB8mYsyYMVJHJSswFRYHDx5Eenq6xGnIGgwGg3kaFDfFkwYLCyvQ6XTQ6XTv9Fq1Wo0JEybg4MGDKF26NO7cuYMmTZpg2LBhSE1NtXDSnMdgMGDw4MEAgODgYNSpU0fiRO9Oo9Fg/LgxGD9uDDQajdRxAAB16tRBzZo1odVqzUtyEtmzuLg4LFmyBJ07d4anpyfq1q2Lb7/9FkePHoUoiqhcuTJGjx6N7du3m1/j4eEhXWA7p1Qq0a5NK7Rr00p2F23KlSuHQoUKIS0tDUeOHJE6DllBZGQkHjx4gHz58pkb9sm2WFjYqTp16iA2Nhb9+/cHAPz666+oUaMGTp48KXEy+7Z48WKcOHECefLkwU8//SR1nBxHEATzqMWcOXO4BwvZHa1Wi/DwcHzxxRfw8/ND0aJF8dlnn+HPP//Eo0ePzJveLV68GHfv3sWpU6fw888/y3pJSltSKpWoUrkyqlSuLLvCQhAETofK4UzToD788EOo1WqJ0zgmFhZ2zM3NDXPnzsXWrVtRqFAhnD9/HrVr18bEiRNlM9fOlh49eoRx48YBAL755hsUKlRI4kQ5U6dOnVCkSBHEx8eb38SJpPT3339j3rx5+OCDD5A/f340atQIkyZNwunTpyEIAmrVqoXx48cjKioKCQkJWLNmDXr16gUvLy+po5ONma5is7DIeV6cBsXFF6Qj764WB9G6dWucOXMG/fr1w4YNGzBu3Dhs27YNy5cvR8mSJaWOZzfGjx+PxMRElC9f3jwdSs70ej02bH6+UVf7dm3tpglNo9FgwIABGD9+PGbMmIFu3bpJHYkcTGpqKvbv34+dO3di586duHTpUobHCxYsiObNm6NFixZo2rQpPD09JUqa8xiNRly9fh0AULpkSdmsrW9iGrE4fPgwUlJS4ObmJnEispRDhw4hPj4eHh4eaNy4sdRxHJa83hEcmKenJ9atW4clS5Ygd+7cOHToEPz8/LBo0SKIoih1PMmdOnUKc+bMAQDMnDkzRwyBGo1GXLh4CRcuXrK7jRP79esHjUaDo0eP4vDhw1LHoRxOFEVcvHgRv/76K1q0aIF8+fKhZcuWmD59Oi5dugSlUomAgAD88MMPOHHiBO7du4fly5eja9euLCosTK/X448//8Iff/4ly43mSpYsCR8fH+h0Ohw6dEjqOGRBpk3xPvzwQ7vpS3RELCxkRBAEBAcH49SpUwgICMDTp08REhKC9u3bO/QKPaIoYsiQITAajejUqZP5ihRZj2k1HYBLz5J1JCcnY+PGjejfvz9KlCiBcuXKYdiwYdi1axfS0tLg7e2NPn36YN26dfjnn39w4MABjBs3DtWqVZPdVXSyHfZZ5ExGoxHr1q0DkLOmQalUKnT5uCO6fNzRbmYtvA3ffS1MEAT4+njD18cbgiBY5RwlSpRAeHg4fv75Z6jVamzatAmVKlXCli1brHI+e7d69WpERkbCxcUFU6ZMkTqOwxg6dCiA51eJ7t69K3EakjtRFBEbG4uffvoJQUFByJ8/P9q3b4/ffvsNN2/ehEajQdOmTTF16lScO3cON2/exPz589GhQwe4u7tn+/wKhQKlS5VC6VKlWJjkcCwscp7o6GjExcXB3d0dTZo0kTqOxSgUCrxfujTeL11aNu9L8ih/ZEStVqNnd+vPOVcqlRg9ejSaN2+O7t274+zZs2jXrh369OmDX375Bbly5bJ6Bnvw5MkTjBo1CgDw5ZdfwsfHR+JEjqNq1aoICAhAZGQk5syZgx9++EHqSCQzDx8+RFhYmLlXIj4+PsPj7733Hlq0aIEWLVogMDDQqvPhVSoVunbmuveOwNTAfeLECSQlJVmkMCVpmRYSadeuHZycnCRO49jkUf7Qa/n5+eHYsWMYMWIEBEHAggUL4Ofnh6ioKKmj2cT333+PuLg4lCxZEiNGjJA6jsMxLT3722+/cZ8VeiuDwYAjR45gwoQJ8Pf3h6enJ7p06YKlS5ciPj4erq6uaNOmDWbNmoWrV6/i8uXLmDFjBlq1asUmW7KYYsWK4f3334fRaMSBAwekjkPZZDQazf0VOW1TPIPBgNjTpxF7+rRsVgPliEUO4OzsjClTpqB169bo2bMnrl+/joCAAIwdOxbjx4/PsU1Mly5dwrRp0wA83+fD2dlZ4kSO54MPPoCPjw9u3bqFVatWoXfv3lJHIjsTHx+PXbt2YefOndi9ezcePnyY4fGKFSuaRyXq16/Pq41kEw0bNsTly5exb98+tG3bVuo4lA1HjhzB3bt3kTt3bjRt2lTqOBZlMBiweevzzTvLly0ri71jOGJhYVqtFlOmTceUadNtvnlYw4YNcfr0aXz66acwGo344Ycf4O/vjwsXLtg0hy2IoojQ0FDodDq0atUKbdq0kTqSQ1KpVOalfadPn84Vygg6nQ779+/H2LFjUbVqVRQpUgTBwcH4448/8PDhQ7i7u6Njx45YuHAhbt++jTNnzmDy5Mlo3LixpEWFVqvFxMlTMXHyVG786ADYZ5FzvDgNihcYpccRCyt4JuGUEA8PDyxfvhxt27ZF//79ERMTg2rVquHnn3/G4MGDZdP88zabN2/Grl27oNFo8Ouvv1qtUV5KarUaY0YON9+2VyEhIfjmm29w5swZREREmOcvk+O4efMmdu3ahR07dmDv3r148uRJhsdr1KhhHpWoXbu23a5uotPppI5g95RKJVo2a2q+LVdBQUEAgNOnTyMhIYHLEsuUKIrmaVA5aTUoOcsZ3zLpJZ06dcKZM2fQrFkzpKWlITQ0FM2bN8edO3ekjpZtqampGDZsGABgxIgReO+99yROZB2CIECj0UCj0dh14ZQ3b1706NEDADBjxgyJ05AtpKWlYffu3Rg+fDjKly+P4sWLo1+/fti4cSOePHmCAgUKoFu3bvj9999x//59HDt2DN999x3q1atnt0UFZY5SqUTNGtVRs0Z1WRcWBQsWRKVKlQAAERER0oahd3b06FHcvn0buXLlQvPmzaWOQ2BhkaN5eXlh586dmDVrFlxcXLBnzx5UqlQJa9askTpatkyePBl///03ihYtinHjxkkdh/Dv0rObNm3C33//LXEasjRRFDM0UufLlw/NmzfHtGnTcOHCBSgUCtSrVw/fffcdjh07hvv372PFihXo3r07ChYsKHV8olfidCj5M41WtG3bFi4uLhKnIYCFRY4nCAIGDRqEmJgY1KhRA48fP0aXLl3QrVs3PHr0SOp4WXbz5k1MnDgRADBlypQcvayuXq/Hpi1bsWnLVrvf4bZcuXJo1qwZRFHErFmzpI5DFvD06VNs3rwZAwcORKlSpVCmTBmEhoZix44dSE1NRdGiRdG7d2+sXbsWiYmJOHjwIP73v/+hRo0aOWbKJb3MaDTixs2buHHzJoxGo9RxssVUWISHh0uchN6FKIrm/gpOg7IffPd3EGXLlkVUVBTGjx8PpVKJVatWoXLlyti7d6/U0bJkxIgRSEtLQ2BgIDp37ix1HKsyGo04deYsTp05K4sPcNOoxaJFi/D06VOJ01BWiaKI06dPY9KkSWjUqBHy5cuHDz74AHPnzsXff/8NtVqNxo0bY/LkyThz5gxu376NhQsXomPHjsibN6/U8clG9Ho9lq9cjeUrV9v9BY+3adCgARQKBS5dusRNPmXoxIkTuHnzJtzc3NCyZUup49D/42RXB6JWqzFhwgS0bNkSn376Ka5evYomTZrg888/x48//mj3w4h79uzBunXroFQqMXPmTLvuO3BELVu2xHvvvYcrV65g2bJlGDRokNSR6C0ePXqEPXv2mDeoi4uLy/B4iRIl0LJlS7Rs2RJBQUE5eoSQHI+HhweqVauG48ePIzw8HN27d5c6EmWBabSidevWdv/95V2pVCp0bP+h+bYccMTCwgRBgFeRwvAqUthuv/jWqVMHsbGx6N+/P4Dne0DUqFEDJ0+elDjZ62m1WgwZMgQAMGjQIHPTHdkPhUJh/n80Y8YMWYyyOBqj0ZihkbpAgQL4+OOPsXjxYsTFxcHFxQWtWrXCjBkzcPnyZVy7dg2zZ89GmzZtcnxRIQgCfH284evjbbfv3WR57LOQpxdXg8ppm+K9SKFQoHy5sihfrqxsppgKYg5beD45ORnu7u5ISkpCnjx5pI5j97Zt24bevXvj/v375hGN0aNH291qH1OnTsXIkSPh6emJy5cvw8PDQ+pIVqfVavHTlF8AAGNGDpfFRodPnjxBsWLFkJycjO3bt3N42k6kpaXhiy++wKpVq5CYmJjhsfLly5uXgg0ICOA68PRGcnxfepNdu3ahRYsW8PHxwY0bN1hUykRMTAyqV68OFxcXJCQkwM3NTepIOVpWvlvLo/whq2ndujXOnDmD9u3bQ6fTYdy4cQgMDMT169eljmZ27949TJgwAQAwceJEhygq5Cp37tz47LPPADzfMI+k9+jRI7Rs1Qr5CxXBkGEjkC9/fnTo0AHz58/HzZs3ce7cOUydOhVNmzZlUUEOp379+lCpVLh16xZXtJORF6dB5eSiwmg04vyFizh/4aJsZgGwsCB4enpi3bp1WLJkCXLnzo1Dhw7Bz88PixYtsoudlMeMGYMnT56gZs2a6NWrl9Rx6C2GDBkCQRCwa9cuXLx4Ueo4Du3mzZuoV68eDh08aL7v1s1bWLduHfr06QMfHx8J0xFJz83NDXXq1AHA1aHkwpE2xdPr9fhrw0b8tWGjbBZLYGFhYTqdDtNnz8H02XNktYurIAgIDg7GqVOnEBAQgKdPnyIkJATt27fHgwcPJMsVFRWF5cuXAwBmzZolmzmGjqxkyZJo27YtAGDmzJkSp3FcsbGx8Pf3x4ULF+Dl5WW+X62WRwOgrWm1WkyZNh1Tpk2HVquVOg7ZEPss5OXUqVO4evUqnJ2d0bp1a6nj0H/wW5qFiaKIpKRkJCUl28XV/qwqUaIEwsPD8fPPP0OtVmPTpk2oVKkStmzZYvMsBoMBgwcPBgD07t0btWrVsnkGKanVaowIHYoRoUOhVquljpMloaGhAIBly5bh8ePH0oZxQLt370ZAQADu3buHihUrIjw8QupIsvAsNRXPUlOljmHXlEolmjRqiCaNGtpdL967atiwIYDnhYUcP7cdjWm0olWrVjl+UQk5YmFBL1EqlRg9ejSOHTuGihUr4sGDB2jXrh369u1r0/0JFixYgJMnT8Ld3R0//vijzc5rLwRBgJubK9zcXGXXUNiwYUNUrFgRKSkpWLRokdRxHMqyZcvQunVrPH36FA0bNsTBgwdRtKjX219IlAlKpRJ169RG3Tq1c0xhUadOHTg7OyM+Pp7TN+0cN8Wzfyws6LX8/Pxw7NgxjBgxAoIgYMGCBfDz80NUVJTVz/3PP//gyy+/BAB89913KFiwoNXPSZYjCIJ5w7xZs2bBYDBInCjnE0UR33//PYKDg6HX69GtWzfs3LkT7u7uUkcjsmvOzs6oV68eAE6Hsndnz57F5cuX4eTkhDZt2kgdh17BJoXF7NmzUbx4cTg7O6N27do4evToa5+7dOlSCIKQ4YcrlUjH2dkZU6ZMwd69e+Ht7Y3r168jICAA//vf/6w6D/l///sfHj58iEqVKmHAgAFWO4890+v12L5zN7bv3C2bpq0XdevWDfny5cONGzewefNmqePkaHq9Hv369cNXX30F4PmCB8uXL5f9UqBkf4xGI+7G3cPduHuyWaUmM9hnIQ+m0YoWLVogd+7cEqehV7F6YbFmzRoMHz4cX3/9NWJiYuDn54fmzZu/sSE4T548uHfvnvnn5s2b1o5Jb9GwYUOcPn0an376KYxGI3744QdzY6ilnTx5Er/99huA582/ctlt0tKMRiOOx8TgeEyMLD/AXV1d0bdvXwBcetaanj59ig8++AALFiyAQqHA7NmzMXHixAwLHSgUCpQuVQqlS5XiAgiULXq9HouWLsOipctkecHjdUyFRUREhCzfbx2FI2yKJ3dW/4T55Zdf0KdPH/Tq1Qvly5fHvHnz4OrqisWLF7/2NYIgoHDhwuafQoUKWTsmZYKHhweWL1+OP//8E/ny5UNMTAyqVatm0V2WRVHE4MGDIYoiunTpgsDAQIscl6QxcOBAKJVK7N+/H7GxsVLHyXHu37+Phg0bYvv27XBxccH69esxcODAl56nUqnQtXMndO3cyWELdaI3qVGjBnLnzo2HDx/i9OnTUsehVzh37hwuXLgAjUbjMNOglEol2rVphXZtWsmmp8mqhYVWq8WJEyfQpEmTf0+oUKBJkyaIjo5+7euePn0KX19feHt744MPPsC5c+esGdOiBEGAZ4EC8CxQQHYNt5nVqVMnnDlzBs2aNUNaWhpCQ0PRvHlz3LlzJ9vHXrFiBaKiouDq6orJkydbIC1JydvbGx999BEAYMaMGRKnyVkuX74Mf39/HD9+HAUKFMC+ffvwwQcfSB1LtgRBgFeRwvAqUjjHvnfT66lUKjRo0AAAp0PZK9M0qObNmztM75hSqUSVypVRpXJlFhYAkJiYCIPB8NKIQ6FChRAfH//K15QpUwaLFy/Gpk2bsGLFChiNRtStW/e1X1rT09ORnJyc4UdKarUaA/qGYEDfENktEZoVXl5e2LlzJ2bNmgUXFxfs2bMHlSpVwpo1a975mMnJyRg9ejQA4KuvvkKxYsUsFZckZFp6dtWqVUhISJA4Tc4QHR2NunXr4u+//0apUqUQFRVl3uSL3o1arUZIr2CE9ArO0e/d9HovLjtL9sdRNsWTO7ubbOvv748ePXqgSpUqCAwMxPr16+Hp6Wmec/9fEydOhLu7u/nH29vbxokdlyAIGDRoEGJiYlCjRg08fvwYXbp0Qbdu3fDo0aMsH+/bb79FfHw83nvvPQwbNswKiUkK/v7+qFGjBtLT0zF//nyp48jexo0b0ahRI/zzzz+oWbMmoqKi8N57773xNVqtFhMnT8XEyVO5+RvRa5j6LPbv3y+rDW4dwYULF3Du3Dmo1Wq0a9dO6jg2YzQacfnqVVy+elU2vT9WLSwKFCgApVKJ+/fvZ7j//v37KFy4cKaOoVarUbVqVVy9evWVj48dOxZJSUnmn9u3b2c7N2VN2bJlERUVhfHjx0OpVGLVqlWoXLky9u7dm+ljXLhwwdzg++uvv8LJyclaccnGBEEwj1rMmSOvHentzezZs9GhQwekpaWhTZs2CA8Pz/RSzDqdjr97ojfw8/ND3rx58fTpU5w4cULqOPQC02hFs2bN4OHhIW0YG9Lr9fjjz7/wx59/yWaxBKsWFhqNBtWrV8/wBdNoNGLv3r3w9/fP1DEMBgPOnDmDIkWKvPJxJycn5MmTJ8OPlHQ6HebOX4i58xc61Ie4Wq3GhAkTcPDgQZQuXRp37txBkyZNMGzYMKS+ZSdbURQxdOhQ6PV6tG3bFq1atbJRarKVjz/+GIULF0ZcXJz5A4Iyz2g04osvvjAvbNCvXz9s2LABbm5uUkfLMXQ6HabPnoPps1n8OiqFQsHpUHaKm+LJh9WnQg0fPhwLFizAsmXLcOHCBQwYMAApKSno1asXAKBHjx4YO3as+fnffvstdu/ejevXryMmJgbdu3fHzZs3ERISYu2oFiGKIhISE5GQmAhRFKWOY3N16tRBbGws+vfvD+D56EONGjVw8uTJ175mw4YN2LNnD5ycnDBt2jRbRbV7arUaQwf2x9CB/WU/51uj0Zj/TnDp2axJT09H9+7dMWnSJADAjz/+iLlz53J1JwsTRRFJSclISkp2yPfuzFIqlWhQvx4a1K8nm2bSrOB+Fvbn0qVLOHPmDFQqFReokAGrFxadO3fGlClTMH78eFSpUgWxsbHYuXOnuaH71q1buHfvnvn5jx49Qp8+fVCuXDm0atUKycnJiIqKQvny5a0dlSzEzc0Nc+fOxdatW1GoUCGcP38etWvXxk8//fTSDszPnj3D8OHDAQCjRo1CqVKlpIhslwRBgIeHBzw8PHLEKjX9+/eHRqPBkSNHcOTIEanjyMLjx4/RokULrF69GiqVCsuXL8fYsWNzxN8HkielUomgBgEIahCQowuLQ4cOIT09XeI0BPw7DapJkybImzevxGnobWzSvD148GDcvHkT6enpOHLkCGrXrm1+LCIiAkuXLjX/edq0aebnxsfHY9u2bahataotYpKFtW7dGmfOnEH79u2h0+kwduxYBAYG4vr16+bn/Pzzz7h58ya8vb0zjFxRzlOoUCF06dIFAEctMuP27duoX78+IiIikDt3bmzfvh2ffvqp1LGIcrSyZcuicOHCSEtLw+HDh6WOQ+CmeHJjd6tCUc7i6emJdevWYcmSJcidOzcOHToEPz8/LF68GNevX8fPP/8M4PlGiq6urhKntS8GgwFhe/chbO++l0Z65MrUxL127VrcvXtX4jT26/Tp06hTpw7OnTsHLy8vREZGomnTplLHIoIoiniQkIAHCQk5csqYIAjss7AjV69eRWxsLJRKJadByQQLC7I6QRAQHByMU6dOISAgAE+fPkXv3r1Rs2ZNpKeno1GjRuZN1OhfBoMB0UeOIvrI0RxTWFSrVg3169eHXq/H3LlzpY5jl/bu3Yv69esjLi4O5cuXR3R0NPz8/LJ1TEEQ4OvjDV8fb06jomzR6XSYt2AR5i1YlGOb3NlnYT9MTduNGzdG/vz5JU5DmcHCgmymRIkSCA8Px88//wy1Wo2HDx9CqVRixowZ/LLjQEyjFr/99hvS0tIkTmNfVqxYgRYtWuDJkycIDAzEwYMH4ePjk+3jqtVq9OzeDT27d5P9QgBE1mYqLA4fPoyUlBSJ0zg2R98UT6lUomWzpmjZrKlsepq4rIiFCYIAd/c85tuUkVKpxOjRo9G4cWNs2xUGAG/d3Itylg8//BA+Pj64desWVq9ebV4hzpGJooiffvoJ48aNAwB06dIFS5cu5X4uNiQIAjwLFDDfJsdVokQJ+Pr64ubNmzh48CCaN28udSSHZFodVKlUon379lLHkYRSqUTNGtWljpElHLGwMLVajdBBAxE6aCCvDL5BpUqVpI5AElGpVBg0aBCA503cOXGedlbo9XoMHDjQXFSMGjUKK1euZFFhY2q1GgP6hmBA3xC+dzs4QRA4HcoOmEYrGjZsiAL/X/ST/WNhQUQ2FxISAhcXF5w6dQoHDhyQOo5kUlJS0KFDB8ybNw+CIGDGjBmYNGkSFArLvjVrtVpMmTYdU6ZNh1arteixiXIiU2ERHh4ucRLHxU3xnm+OeuPmTdy4eRNGo1HqOJnCwoKIbC5fvnzmpVMddenZBw8eoFGjRtiyZQucnZ2xbt06DBkyxGrne5aaimepqVY7PlFOYloZ6sSJE3j8+LG0YRzQjRs3cPz4cSgUCoedBgU8H9FevnI1lq9cDb1eL3WcTGFhYWE6nQ4LlyzFwiVLc+yKGUSWMHToUADApk2bcOPGDWnD2NjVq1dRt25dHD16FPny5cPevXsd+sPTHuh0OsydvxBz5y/kezehaNGieP/992E0Gh16VFUqpmlQgYGBKFiwoMRpKCtYWFiYKIqIuxePuHvxDj93nLJHrVajf5/e6N+nd46c812hQgU0adIERqMRs2bNkjqOzRw5cgT+/v64du0aihcvjqioKNStW1fqWA5PFEUkJCYiITGR791voFQq4V+7Fvxr15LNKjXvin0W0uGmePLFwoLITgmCgIKenijo6ZljV6kxLT27cOFCPH36VOI01rd582Y0bNgQiYmJqF69OqKjo1GmTBmpYxFlmlKpRNPGjdC0cSMWFmQVt27dwpEjRyAIAkdyZYiFBUlCoVCgdKlSKF2qlMUbVUk+WrVqhdKlSyMpKQnLly+XOo5VzZ07F+3bt0dqaipatmyJiIgIFC5cWOpYRPQaQUFBAIAzZ84gISFB2jAOxDRa0aBBA75HyhC/0ZEkVCoVunbuhK6dO0Gl4nYqr2IwGBBxIBIRByJzzM7b/6VQKMwNyzNmzJDNqhdZYTQaMXbsWAwcOBBGoxEhISHYvHkzcuXKJXU0oiwTRRGPHz/G48ePc/yUMU9PT1SuXBkAEBERIW0YB+Lom+LJHQsLIjtlMBhw4OAhHDh4KMcWFgAQHByM3Llz49KlSwgLC5M6jkVptVr06NEDP/30EwDg22+/xfz5821eTAuCAK8iheFVpHCOnVZHtqHT6TBjzjzMmDPPIZrcOR3Ktm7fvo3o6GgIgoCPPvpI6jj0DlhYEJGk8uTJg88++wxAzlp6NikpCa1atcLKlSuhUqmwZMkSfPXVV5J8sVer1QjpFYyQXsE5ciEAImsxLTvLwsI21q9fDwCoX78+ihQpInEa6SmVSjRp1BBNGjWUTU8TCwsrcHVxgauLi9Qx7JpWq8XEyVMxcfJUbthFGDx4MARBwI4dO3Dp0iWp42TbnTt3EBAQgL179yJXrlzYunUrgoODpY5FbyAIAtzd88DdPQ9HdcisQYMGUCgUuHz5Mu7cuSN1nByPm+JlpFQqUbdObdStU5uFhaPSaDQYOSwUI4eFQqPRSB3Hrul0OocYSqe3K126NFq3bg0AmDlzpsRpsufs2bPw9/fHmTNnULhwYRw4cADNmzeXOha9hVqtRuiggQgdNJCjOmTm4eGB6tWrA+Au3NZ29+5dHDp0CAA4DUrGWFgQkV0wLT27dOlS2e50Gx4ejvr16+POnTsoW7YsoqOjUbVqValjQafTYfrsOZg+ew6LeaIsYp+FbZimQdWtWxdFixaVOI19MBqNuBt3D3fj7slmcRMWFkRkFxo3bowKFSogJSUFixcvljpOlq1atQrNmzdHUlIS6tevj0OHDqF48eJSxwLwfCWfpKRkJCUl5/iVfIgs7cXCgv9+rIeb4r1Mr9dj0dJlWLR0GfR6vdRxMoWFhYXpdDosW7ESy1as5JVBoiwQBAFDhw4F8Hw6lFxWwhJFEZMmTUK3bt2g0+nQsWNHhIWFIV++fFJHoyzQ6XRYuGQpFi5ZyvduyqBevXpQq9W4desW/v77b6nj5Ej37t1DZGQkAE6DkjsWFhYmiiJu3rqNm7du88oGZYtKpULv4J7oHdzTYfb66N69O/Lly4cbN25gy5YtUsd5K4PBgCFDhuCLL74AAAwbNgxr1qyBs7OzxMkoq0RRRNy9eMTdi+d79xsoFArUqFYNNapVc5jNTd3c3FCnTh0AnA5lLevXr4coiqhTpw68vb2ljkPZ4BjvCkQypFAoUNSrCIp6FXGYD3BXV1f06dMHgP0vPfvs2TN89NFHmD17NgRBwC+//IJffvnFYf5fkWNSqVRo1aIZWrVo5jAXPAAuO2tt3BQv5+AnIElCEAT4+njD18ebSztSBoMGDYJSqURERAROnz4tdZxXSkxMROPGjbFp0yY4OTlhzZo1GDZsmNSxiMhK2GdhPffv38eBAwcAsLDICVhYkCTUajV6du+Gnt27cWnH1zAYDIg6fARRh4/Ipt/AEry9vdGhQwcAwIwZMyRO87Jr166hbt26OHz4MPLmzYuwsDA2G5LDEEURKSnPkJLyzKG+YNepUwfOzs64f/8+Lly4IHWcHGXDhg0wGo2oWbMmfH19pY5D2cTCgshOGQwG7NkXjj37wh2qsAD+XXp25cqVSExMlDjNv44dO4a6deviypUr8PX1xaFDhxAQECB1rLcSBAGeBQrAs0ABjhBStuh0OkydPgNTp89wqCZ3Jycn1K9fHwCnQ1maaVM8XqDJGVhYEJHdqVu3LqpVq4a0tDTMnz9f6jgAgG3btiEoKAgPHjxA1apVER0djXLlykkdK1PUajUG9A3BgL4hHCEkekfcz8LyEhISEBERAYDToF5FqVSiQf16aFC/HnfedmRqtZof3m+h1WoxZdp0TJk2HVqtVuo4ZGcEQTCPWsyZI/2mbvPnz0e7du3w7NkzNG/eHPv370eRIkUkzUSW5+riAlcXF6ljkJ0yFRYRERGy2azM3pmmQVWvXh0lSpSQOo7dUSqVCGoQgKAGASwsHJVGo8HYUSMwdtQIaDQaqePYtWepqXiWmip1DLJTnTt3RqFChXD37l2sW7dOkgyiKOKrr75Cv379YDQa0atXL2zZsgW5c+eWJA9Zj0ajwchhoRg5LJTv3fRK1atXR+7cufHo0SOcOnVK6jg5AjfFy3lYWBCRXXJyckL//v0BSLP0rFarRXBwML7//nsAwNdff41FixbJcjRSp9Nh7vyFmDt/oeSjP0RypVKp0KBBAwCcDmUJiYmJ5t8jp0G9miiKeJCQgAcJCbJZLIGFBRHZrf79+0OtVuPw4cM4evSozc6bnJyMNm3aYPny5VAqlVi4cCG++eYb2TY+i6KIhMREJCQmyubDicgesc/CMo4cOYLOnTvDYDCgatWqKFWqlNSR7JJOp8O8BYswb8Ei2VwUYmFhYXq9HqvWrMWqNWuh1+uljkMka4ULF0aXLl0A2G7UIi4uDg0aNEBYWBjc3NywZcsW9O7d2ybnJunodDosW7ESy1aslM0HONmeqbA4cOAA/568gyNHjqBVq1aoU6cOIiMjMeGHifiw48fstcxBWFhYmNFoxNVr13D12jU2d1G2qFQq9Oj2CXp0+8Shdrj9L1MT959//om4uDirnuvcuXOoU6cOTp06hUKFCmH//v1o2bKlVc9J9kEURdy8dRs3b93mqM4bKBQK+FWqCL9KFR1yl/nKlSsjX758ePr0KY4fPy51HNl4saDYsWMHlEolunfvLnUssgLHe1cgkgmFQoHivr4o7uvrkB/gJtWrV0e9evWg1+sxb948q51n//79qF+/Pm7fvo0yZcogOjoa1atXt9r5iORIpVLhg7Zt8EHbNg55wUOhUKBhw4YAOB0qMw4fPoyWLVtmKCh69eqFS5cuWfX9nKTjuN9WSFKCIMCrSGF4FSks23nrZDumUYt58+YhLS3N4sdfs2YNmjVrhsePH6Nu3bo4dOgQlz4kolcyTYcKDw+XOIn9MhUU/v7+2LlzZ4aCYvHixeypyMFYWJAk1Go1QnoFI6RXsCxX2bEFg8GAY8dP4NjxEw638/Z/ffjhhyhWrBgSEhLwxx9/WOy4oijil19+QZcuXaDVatG+fXvs2bMH+fPnt9g5iHISURSh1Wqh1WoddsqYqbA4dOiQVS50yBkLCmJhQWSnDAYDduwOw47dYQ5fWKjVagwaNAjA8yZuS3yhMRgMGDZsGEaMGAEAGDJkCNauXQuXHLhBmiAIcHfPA3f3PBwhpGzR6XT4acov+GnKLw7bvFymTBkULlwYaWlpOHz4sNRx7AILCjJhYUFEstCnTx+4uLggNjYWkZGR2TpWamoqOnfubF5pasqUKZg+fbpsdjbNKrVajdBBAxE6aCBHCImySRAELjv7/6Kjo9GiRYsMBcVnn33GgsJClEol/GvXgn/tWrL5fGJhQZLQ6XSYPnsOps+e47BXvShr8ufPb15FJDtLz/7zzz9o2rQp1q1bB41Gg9WrV2PEiBG8kk9Qq9UsvChTHL2wMBUUdevWxa5du8wFxeXLl7Fo0aJMFRQKhQKlS5VC6VKlHHqBkjdRKpVo2rgRmjZuJJvCwvGWdLAyjUaD8ePGSB3D7omiiKSkZPNtoswYOnQoFixYgI0bN+LGjRsoXrx4ll7/999/o2XLlrh06RI8PDywceNGBAYGWicsyYpGo8HYUSOkjkEyYSosjhw5gqdPnyJXrlwSJ7KN6OhoTJgwAbt27QLw/Itvz5498eWXX6JkyZJZOpZKpULXzp2sEZMkxBKRiGSjYsWKaNy4MYxGI2bPnp2l1544cQL+/v64dOkSvL29cfDgQYcpKnQ6HRYuWYqFS5ZyhJDIAkqUKIHixYtDr9fj0KFDUsexuujoaDRv3vy1IxRZLSooc0RRxOPHj/H48WPZXIRlYUFEsmJaenbhwoVISUnJ1Gt27NiBwMBA3L9/H35+fjh8+DAqVKhgzZh2RRRFxN2LR9y9eNl8OBHZO0eYDvViQbF7924olUr07t2bBYWN6HQ6zJgzDzPmzJPNRSEWFham1+uxdv0GrF2/AXq9Xuo4RDlO69atUapUKTx+/Bi///77W5+/aNEitG3bFikpKWjSpAkOHDgALy8vGyQlOdHr9Vi1Zi1WrVnL927KlJy8UV5UVFSGgkKlUpkLioULF1qkoNBqtZg4eSomTp4KrVZrgdRkD1hYWJjRaMSFi5dw4eIlGI1GqeOQjKlUKnT5uCO6fNzRIXe4fR2FQoEhQ4YAAGbMmPHaK/CiKOLrr79GSEgIDAYDevTogW3btiFPnjy2jEsyYTQacfXaNVy9do3v3W+gUChQrmwZlCtbxuEbbk2FRUxMDB49eiRxGsswFRT16tXLUFBcunTJYgXFi3Q6nWyuxFPmOPa7ApEdUygUeL90abxfurTDf4D/V3BwMHLlyoULFy4gLCzspcd1Oh169+6Nb7/9FgDw5ZdfYunSpdBoNLaOSpSjqFQqdOrQHp06tHf4Cx5FixZFmTJlYDQaceDAAanjZEtUVBSaNWuWoaAICQmx6AgFOQZ+WyFJCIIAzwIF4FmgAJf5pCxzd3dHr169ALy89OyTJ0/Qtm1bLFmyBAqFAvPmzcP333/Pv2dEZHFy77N4saAICwvLUFAsWLAAJUqUkDoiyQwLC5KEWq3GgL4hGNA3hOvGv4bBYEDs6dOIPX3a4XfefpUhQ4ZAEARs374dly9fBgDcu3cPgYGB2LVrF1xdXbFp0yb069dP4qRElFPJtbA4dOgQCwqyChYWRHbKYDBg89bt2Lx1OwuLV3jvvffQqlUrAMDMmTNx4cIF+Pv74+TJk/D09ER4eDjatGkjcUr74eriAlcXF6ljkMxptVp8++NP+PbHn9hwCyAoKAgAcPbsWTx48EDaMJlgKijq16/PgoKsgoUFEcmWaenZJUuWoF69erh58yZKly6N6Oho1KpVS+J09kOj0WDksFCMHBbKPhMiCypQoAD8/PwAABEREdKGeYNDhw6hadOmGQqKPn364MqVKywo7JhCoUCNatVQo1o12fRayiMl5Tg6nQ5z5y/E3PkLuSIEvbMmTZqgfPnySElJwaNHj1CnTh1ERUWhVKlSUkcjIgdhz8vOHjx40FxQ7NmzJ0NBMX/+fBQvXlyybIIgwNfHG74+3uyBew2VSoVWLZqhVYtmslksQR4pZUStVmPMyOHm2/RqoigiITHRfJvoXQiCgDFjxuDv23cBAEMHDYCHu7vEqUiONBoNxo8bI3UMkqFGjRrh119/tavC4uDBg5gwYQL27NkD4PkX1F69emHcuHGSFhMvUqvV6Nm9m9QxyMI4YmFhgiBAo9FAo9GwAieygc6dO5tvs4fg1XQ6HZatWIllK1ZyhJDIwho0aACFQoErV67g9u3bkmY5ePAgmjRpgoCAALsboaCsE0URKSnPkJLyTDYXYVlYEBHlcKIo4uat27h567ZsPpyI5MLd3R01atQAAISHh0uS4cWCYu/evVCpVOjbty8LCpnT6XSYOn0Gpk6fIZuLQiwsLEyv12PTlq3YtGUr9Hq91HGIiCgT9Ho91q7fgLXrN/C9m7JMqmVnIyMjX1tQ/Pbbb3ZdUGi1WkyZNh1Tpk3nCmM5CAsLCzMajTh15ixOnTkLo9EodRySMZVKhY7tP0TH9h/KpmmLSK6MRiMuXLyECxcv8b37DRQKBUqXKoXSpUrJZpUaWzAVFuHh4TYZFTQVFA0aNMhQUFy9etXuC4oXPUtNxbPUVKljkAXx2wqRnVIoFChfrqzUMYiIzFQqFbp27iR1DLtTr149qNVq3Lp1C9evX7faynSRkZH45ptvzCMjarUan332GcaOHQtfX1+rnJMoK3i5gSQhCALc3fPA3T0Pm9yJiEjWXF1dUadOHQDWmQ4VGRmJxo0bo0GDBti3bx/UajX69euHK1euYN68eSwqyG5wxIIkoVarETpooNQx7JrRaMTFS5cBAGXLvM9pB69hmpphuk1EJIVGjRohMjIS+/btQ58+fSxyzAMHDmDChAkcoSDZ4KcwkZ3S6/X4a8NG/LVhI5tJ38A0NaNr507sRXkDtVrNvXUo27RaLSZOnoqJk6ey4fY/Xmzgzm6fxYEDB9CoUSMEBgZyhIJkhZ/CREQ5nEajwdhRI6SOQTmEXJa9tLXatWvDxcUFDx48wPnz51GhQoUsH+PAgQP45ptvzMvWqtVq9O7dG2PHjoWPj4+lI5OdUygU8KtU0XxbDlhYkCRMG3YBQM/u3XgllYiIZM3JyQn169dHWFgY9u3bl6XCYv/+/ZgwYYJDFRSCIMCrSGHzbXqZSqXCB23bSB0jS1hYWJharcaI0KHm2/Rqoigi7l68+TbRu9JqtZg6fSYAYEToEGg0GokTkRyp1WqMGTncfJvoXTRq1AhhYWEIDw/HkCFD3vp8RywoTNRqNUJ6BUsdgyyMhYWFCYIANzdXqWMQORROzXgzvV6PP9dtAAB8/FF79qK8giAILEop20x9FhERETAYDFAqla983v79+/HNN98gIiICgGMVFJR5oiiaP9/UarUsRnb46UJElMMZjUZcvXbNfJuIrKNatWrInTs3Hj16hFOnTqFatWoZHn9VQRESEoIxY8awoKCX6HQ6/DTlFwDAmJHDZXHxQx6dIDKi1+uxfedubN+5myv5EBHJhF6vx6YtW7Fpy1a+d9M7U6lUCAwMBJBxP4uIiAg0bNgQQUFBiIiIgFqtxoABA3D16lXMmTPHIYsKnU6H6bPnYPrsORx1zkE4YmFhRqMRx2NiAABNGgVJG4ZkTalUol2bVubbRGQ9RqMRp86cBQC0bN5M4jT2SxAE+Pp4m2/Tyxo1aoStW7di3759qFGjBiZMmPDSCMXYsWPh7e0tbVCJiaKIpKRk823KGVhYENkppVKJKpUrSx2DiMhMrVajZ/duUsewa6Y+ix07dmDHjh0Ani/5bJry5OgFBeVsLCxIMq4uLlJHICIisqhKlSrB09MTCQkJLCjI4bCwIEloNBqMHBYqdQy7ZjQacfX6dQBA6ZIlZbM5jq1xagYR2RO9Xo/Bnz9furh7l84oWbKExImIbIeFBZGd0uv1+OPPvwDIZzUIKXBqBpHtaLVazJg9FwAwdNAAvi+9RbFiRaWOQGRTLCyIiHI4jUaD8ePGSB2DcohnqalSRyByCAqFAuXKljHflgMWFiQJnU6HVWv+BAB07fwxd7olIiJyIIIgwLNAAfNteplKpUKnDu2ljpElLCwsTK1WY+jA/ubb9GqiKOLmrdvm20TvilMzyBLUajVGhA413yYi61Kr1RjQN0TqGGRhLCwsTBAEeHh4SB2DyKFwasab6fV6bNi8BQDQvl1bqFR86/8vQRDg5uYqdQwiIlmzyYSt2bNno3jx4nB2dkbt2rVx9OjRNz5/7dq1KFu2LJydnVGpUiVs377dFjGJiHIko9GICxcv4cLFSzAajVLHISKiTNBqtfj2x5/w7Y8/QavVSh0nU6xeWKxZswbDhw/H119/jZiYGPj5+aF58+Z48ODBK58fFRWFTz75BL1798bJkyfx4Ycf4sMPP8TZs2etHdUiDAYDwvbuQ9jefTAYDFLHISKiTNDr9di+cze279wNvV4vdRySMYVCgdKlSqF0qVKyabiVgk6nw9z5CzF3/kLodDqp45CFWP1v/C+//II+ffqgV69eKF++PObNmwdXV1csXrz4lc+fPn06WrRogVGjRqFcuXL47rvvUK1aNcyaNcvaUS3CYDAg+shRRB85ysKCskWpVKJls6Zo2awplEql1HGIcjSj0YjjMTE4HhPDUZ03EAQBXkUKw6tIYTbcvoZKpULXzp3QtXMnTjt8A1EUkZCYiITERPZa5iBW/Ruv1Wpx4sQJjB071nyfQqFAkyZNEB0d/crXREdHY/jw4Rnua968OTZu3PjK56enpyM9Pd385+Tk5OwHJ7IDSqUSNWtUlzoGEZGZWq1GSK9gqWMQkZ2y6ohFYmIiDAYDChUqlOH+QoUKIT4+/pWviY+Pz9LzJ06cCHd3d/OPt7e3ZcKT1anVaq6+QkRERJRDyH6MbuzYsRlGOJKTk1lcyIBGo8HYUSOkjmHXjEYjbt1+viSvj7c35+q+hmlqhuk2EZGUtFotpk6fCQAYETqES2CTQ7FqYVGgQAEolUrcv38/w/33799H4cKFX/mawoULZ+n5Tk5OcHJyskxgCzt+4gTq+vtLHYNkSq/XY/nK1QCAMSOH88PpNTg1g8h2dDod5sxfAAAY2LcPR51fg83I5KiseglUo9GgevXq2Lt3r/k+o9GIvXv3wv81X7j9/f0zPB8AwsLCXvt8e6PRaHDm5Al8/eVY7NyxQ+o4RERQq9UYM3I4xowczi+ClC2iKCIpKRlJSclsuCWyMjmuMGb1lMOHD8eCBQuwbNkyXLhwAQMGDEBKSgp69eoFAOjRo0eG5u7Q0FDs3LkTU6dOxcWLF/HNN9/g+PHjGDx4sLWjWkzr1q0BANu2bZM4if3S6/VYtWYtVq1Zy6UdiaxMEARoNBpoNBpOFyMiuyAIAtzd88DdPQ/fl15DjiuMWT1l586dkZCQgPHjxyM+Ph5VqlTBzp07zQ3at27dylCF1a1bF6tWrcL//vc/jBs3Du+99x42btyIihUrWjuqxbRs2RIAEBMTg3v37qFIkSISJ7I/RqMRV69dM98melecmkGWoFarMXRgf/NtIrIutVqN0EEDpY5BFmaT8mfw4MGvHXGIiIh46b5OnTqhU6dOVk5lPYUKFULNmjVx7NgxbN++Hb1795Y6ElGOZZqaYbpNL9Pr9di2YycAoHXLFrK58mVLgiDAw8ND6hhERLImjwlbMsTpUERkL4xGI06dOYtTZ85yhJCISCa0Wi0mTp6KiZOnQqvVSh0nU1hYWImpsAgLC8uwgR8REdkfg8GAsL37ELZ3HwwGg9RxSMYEQYCvjzd8fbzZO/AGOp0OC5csxcIlS7mK1hvodDpZ/X44Hm4l1apVQ6FChXD//n1ERkaiSZMmUkcimVEqlWjSqKH5NhFZj8FgQPSRowCAwID6/Df3GoIgwLNAAfNteplarUbP7t2kjmH3RFFE3L14823KGVhYWIlCoUCrVq2wZMkSbNu2jYUFZZlSqUTdOrWljkFEZKZWqzGgb4jUMYjITnEqlBWxz4KIiIiIHAVHLKyoadOmUKvVuHLlCq5cuYL33ntP6kh2Q6PRYPy4MVLHsGtGoxH34p/vQl+kcCHZbI5ja5yaQUT2RKvVYsbsuQCAoYMGQKPRSJyIyHb4TcWK8uTJg4CAAADA9u3bJU5DcqPX67Fo6TIsWrqMmwi+gWlqxoC+Idx/gMjKdDod5s5fiLnzF8qqodTWnqWm4llqqtQxiGyOhYWVtWrVCgCnQxGRdNRqNUaEDsWI0KEsvihbRFFEQmIiEhIT2XBLZGVyXGGMhYWVmfos9u/fj6dPn0qcxn7o9XqsXb8Ba9dv4NV4IisTBAFubq5wc3OVzYcTEeV8ri4ucHVxkTqG3TKtMNazezfZXBRij4WVlSlTBiVLlsT169exZ88efPjhh1JHsgtGoxEXLl4CAHzQprXEaUjOnq+FvgwAENKrp2zefMm+qNVq9O/T23ybiKxLo9Fg5LBQqWOQhXHEwsoEQeDqUERWxKkZb6fX67F9525s37mbI4SvIQgCCnp6oqCnJ0d1iIjeEQsLGzAVFtu3b+cXHyKyOaPRiOMxMTgeEwOj0Sh1HCIiygStVosp06ZjyrTp0Gq1UsfJFE6FsoHAwEC4uroiLi4OsbGxqFq1qtSRiIjoBQaDAZGHogAAAfXqcudtemeCIMCrSGHzbXo1nU6HVWv+BAB07fwxpyC+htxWF2NhYQPOzs5o0qQJNm/ejG3btrGwoExRKpVoUL+e+TYRWY/BYMCBg4cAAHXr1Oa/udcQBAHu7nnMt+llarUaIb2CpY5h90RRxM1bt823KWfgVCgbYZ8FZZVSqURQgwAENQjglxwisgtqtRqhgwYidNBAXmEmopewsLAR034WR44cQUJCgsRpSC4ePXqEa9euSR2DiIiI6K1YWNhIsWLF4OfnB1EUsWvXLqnjSE6tVmPMyOEYM3I4r3q9hiiK6NipE+rXD+DfmTcwTc1wd8/DqRlEJDmdTofps+dg+uw53J2cHA4LCxvidKh/CYIAjUYDjUbDL4OvcenSJezbuxfx8fcQHBzMka7X4NQMItt5vm/MUixcspRfml9DFEUkJSUjKSmZvQPkcFhY2JBpOtTOnTu5ljy91YYNG8y34+Pj8dlnn/FDit6JWq3G0IH9MXRgfxZflC2iKCLuXjzi7sXz/YjIykwrjHkVKSybi7AsLGyoTp06yJcvHx4/fozo6Gip40hKr9dj05at2LRlK4us1zAVFoMGDYKTkxO2bt2KOXPmSJyK5EgQBHh4eMDDw0M2H05ElPOp1Wpe7HgD0wpjIb2CZfN7YmFhQ0qlEi1atADA6VBGoxGnzpzFqTNnuWHXK9y+fRvHjh2DIAj46quv8PPPPwMARowYgbNnz0qczr5wagZZgkqlQu/gnugd3BMqFVdiJ7I2jUaDsaNGYOyoEdBoNFLHIQthYWFj7LOgzNi4cSMAoF69eihUqBCGDh2Kli1bIj09HZ988glSZbZhjjVxasbbGQwGLFuxEitWrYbBYJA6jl1SKBQo6lUERb2KQKHgRyMR0bvgu6eNtWjRAgqFAmfPnsWtW7ekjkN2av369QCADh06AHg+lWXJkiUoWLAgzp49iy+++ELKeCQze/fuxc1bt3H9xk08efpU6jhERJQJclxhjIWFjeXLlw/+/v4AOGpBr5aYmIgDBw4AANq3b2++v1ChQli6dCkAYObMmfz7Q5kSFxeHTz/9FF9/ORZffzkWZ8+ckTqSXTIYDIg6fARRh49wVIeyRRAEeBYoAM8CBdjT9AZ6vR6r1qzFqjVr2Wv5GnJcYYyFhQQ4HYreZPPmzTAajahatSqKFy+e4bGWLVsiNDQUANCrVy/Ex8dLkJDkQq/Xo0uXLnjw4IH5PkdfOOJ1DAYD9uwLx5594Sws3iBdq4XRaIAgCPw9vYZarcaAviEY0DdENg23UjAajbh67RquXrvGXsschIWFBEyFxb59+zhXnl5iWg3qxdGKF/3000+oXLkyEhIS0LNnT74h02t9+eWXiIyMRO7cudGnTx8AwOHDhyVORXK2a+dOTPjqfxg/bgzq1auHo0ePSh2JiOwICwsJVKpUCcWKFUNqairCw8OljkN25MmTJ9i9ezeAf/sr/svZ2RmrV6+Gs7Mzdu/ejenTp9syIsnE5s2bMWnSJADA4sWL8emnnwJ4PmIhlyF1sj9RUVHm2ydPnkSdOnXQv39/PHr0SMJURGQvWFhIQBAE86jF9u3bJU4jDbVajRGhQzEidCiHil+wfft2aLVavPfeeyhfvvxrn1e+fHn88ssvAIAxY8YgNjbWRgntk6uLC1xdXKSOYTdu3LiBnj17AgCGDh2Kjh07onr16lCpVLh37x5u374tcUKSK9NUuilTpqBnz54QRRG//fYbypQpg2XLlrFoxfOG27nzF2Lu/IWyabglshQWFhJ5sc/CEd+IBUGAm5sr3Nxc2dz2AtM0qA4dOrz199K/f3+0a9cOWq0Wn3zyCZ49e2aLiHZHo9Fg5LBQjBwWyrXQAaSnp6NTp054/PgxateujcmTJwMAXF1d4efnB4B9FvRu0tPTERMTAwD44IMPsHTpUuzfvx/ly5dHQkICgoODERgYiHPnzkmcVFqiKCIhMREJiYkO+flOjo2FhUQaNWoEJycn3LhxAxcuXJA6DtmBtLQ0c0P/6/orXiQIAhYtWoQiRYrg4sWLGD58uLUjkgyMGDECx48fR758+fDnn39mKLbq1KkDgH0W9G5iYmKg1WpRoEABlCpVCgDQoEEDxMbG4ueff4arqysiIyNRpUoVjB49Gk+5tDFRtshxhTEWFhJxc3NDUFAQAMdcHUqv12P7zt3YvnM3l5n7f3v37sXTp09RtGhR1KxZM1OvKVCgAJYvXw4A+O2338wb65FjWrNmDWbPng0A+P333+Hj45PhcdNS1xyxoHdh+nvj7++f4UuOWq3G6NGjceHCBbRv3x56vR6TJ09G+fLlsWHDBl61J3pHclxhjIWFhBx52Vmj0YjjMTE4HhPDVY3+n2lTvPbt22dp598mTZpg1KhRAIDevXvj7t27Vslnr3Q6HZatWIllK1Y69HzmS5cuISQkBAAwduxYtGrV6qXnmEYsTp48ifT0dJvms3cqlQo9un2CHt0+gUqlkjqOXXqxsHgVHx8frF+/Hlu2bEHx4sVx+/ZtdOjQAW3atMH169dtGZVkQKPRYPy4MRg/bgynsb5BbGwsUlJSpI6RaSwsJGQqLA4ePIjHjx9LG4YkpdfrsXnzZgCZmwb1X99//z2qVauGhw8fokePHg5VrImiiJu3buPmrdsOe2X02bNn6NixI54+fYrAwEB8++23r3xeyZIl4enpCa1Wa54rT88pFAoU9/VFcV/fLBX2juRthYVJmzZtcO7cOXz55ZdQq9XYvn07KlSogO+//54FLVEWPH78GC1btkSFChVw8eJFqeNkCt89JVSyZEmULVsWBoPBvMQoOaaDBw8iMTER+fLlQ4MGDbL8eo1Gg1WrVsHV1RX79u3DlClTrJCS7NWgQYNw9uxZFCpUCKtXr37tFXdBENhnQe/k9u3buHv3LpRKZaamarq6uuL777/HmTNn0KhRI6SlpeGrr75C5cqVsWfPHhskJpK/sWPHIj4+Hk5OTi9tmGuvWFhIzJGnQ9G/TKtBtWvX7p2nYZQpUwYzZswA8HxjtOPHj1ssH9mvxYsXY+nSpVAoFPjjjz9QpEiRNz6ffRavZjAYcOz4CRw7foI7Sr+C6e9L5cqV4ebmlunXlSlTBnv27MGqVatQuHBhXL58GU2bNsUnn3yCe/fuWSuupARBgLt7Hri755FNw60U9Ho91q7fgLXrN7DX8hUOHTqEefPmAQDmz58PZ2dniRNlDgsLiZkKix07djjU9BX6lyiK5v6K122Kl1mfffYZPvroI+j1enTt2pWrsuRwp06dwqBBgwAA3333nXlBiDfhiMWrGQwG7Ngdhh27w1hYvEJmp0G9iiAI+OSTT3Dx4kUMHTrUXASbLobktC+VarUaoYMGInTQQNk03ErBaDTiwsVLuHDxEr///IdWq0Xfvn0BPP9cDwwMlDhR5rGwkFj9+vWRJ08eJCQk4NixY1LHIQkcP34cd+7cgZubG5o2bZqtYwmCgPnz56NYsWK4cuUKQkNDLZSS7E1ycjI6deqEtLQ0tGzZEmPGjMnU62rWrAmFQmGe2kKUGdkpLEzc3d0xffp0HDt2DLVq1cKTJ08QGhqKmjVrstAlesHkyZNx/vx5eP5fe3ceFlX9vg/8PrMBsrqg4L6LC4gsmktmuYBrlkuapqa5ZWZqlrZou1ZqZuZClloupfZxDRXcUktRUcQFEJVcUMQVZB1m+f3Bb+aLpcgyM2fOmft1XVxXITPnrgjmmfM878fb27yLSCpYWIhMrVajW7duANgO5ahMbVA9evSwyK3OSpUqYfXq1RAEAT/99BM2bNhQ7uck+2I0GvHaa68hOTkZtWrVwi+//FLigWM3Nzf4+/sD4F0LKpm8vDzzsH95CguToKAgHD58GMuWLUPFihURFxeHdu3aYezYsbh79265n59Iys6fP49PP/0UALBgwQJUqlRJ5ESlw8LCDpjaoSIjI0VOYjtqtRpvvj4Ob74+zuFvFRc9ZtZSnnnmGcyYMQMAMGbMGFy5csViz22P1Gq1Q30fLVq0CBs2bIBarcb69etRuXLlUj3e9OKQhQWVxMmTJ1FQUABvb2/Ur1/fIs+pUCgwZswYJCYmYsSIETAajYiIiECTJk2wYsUKSbfGFBQUYPmKlVi+YqVDH4FNpWc0GjFu3Djk5+ejW7duGDx4sNiRSo2FhR3o3r07ACA2Nla2w2z/JggCvLy84OXl5dDDbQkJCUhKSoJGozEXmJby0UcfoXXr1rh//z6GDh0q275xjUaDGdOmYsa0qQ5xFnpMTAymTp0KoPB2uWlmojRMj+EAN5XE4xbjWULVqlWxYsUKHDhwAM2bN8ft27fNPeWnT5+26LVsxWg04vqNNFy/keawR2BT2axatQr79u2Di4sLlixZIsnXRyws7EC1atUQEhICoHCImxyH6W5F586d4eHhYdHnVqvVWLt2Ldzc3HDw4EHMnj3bos9Ptnfnzh0MHDgQBQUF6NevH958880yPY/pjkVsbCy0Wq0lI5IMWWK+4kmefvppnDx5El9//TVcXV1x6NAhtGrVCtOmTeMhFOQQbt26ZX7T6KOPPrLY3UFbY2FhJxzt2Fm9Xo/oPXsRvWevbN9JLwnTfEV5T4N6nAYNGuD7778HUPiDiq0v0mUwGDBs2DBcuXIFDRs2xI8//ljmd7MaNWqEihUrIi8vD6dOnbJwUpIbWxQWQOGbIW+//TYSEhLw4osvQq/XY+7cuWjatCl+//13vvtPsjZ16lTcvXsXLVu2xOTJk8WOU2YsLOyEqbCIjo52iHcQ9Xo9DsccxeGYow5bWFy+fBmxsbFQKBTo06eP1a7zyiuvYPDgwdDr9Xj55ZeRmZlptWuJQafTYe1vG7D2tw2yO7ayqK+++gqRkZFwcnLChg0b4OnpWebn4qK8/1KpVBg0sD8GDexf5l0yclR0MZ7pzrq11apVC7///jv++OMP1K9fH9euXUP//v3Rs2dPXLx40SYZyPrUajWmvz0F09+e4lAzco8SHR2NX375xXyyo5T/fbCwsBPBwcGoVq0aHjx4gIMHD4odh2xg8+bNAAqPHK5atarVriMIApYsWYK6desiJSXFvPdALgwGAy5cvIgLFy9KeuCzOH/++Sfef/99AIWD24GBgeV+Ti7Ke5hCoUDjhg3RuGHDEp+w5QjKuhjPEnr06IEzZ87gww8/hEajwY4dO9C8eXN88sknyMvLs2kWsjxBEKDRaKDRaCQ5S2ApOTk5GDduHABg4sSJaN26tciJyoc/Pe2EQqEwD3E7SjuUo7PUUryS8PT0xOrVq6FQKLB69WqsWbPG6tcky0hLS8OgQYPMrVCjRo2yyPPyjgWVhK3aoB7HxcUFn3zyCU6fPo0uXbogPz8fs2bNQkBAAKKjo0XJRGRJn376KS5duoSaNWvis88+EztOubGwsCOONmfhyNLT03Ho0CEAQN++fW1yzfbt22PmzJkAgPHjx+PSpUs2uS6Vnal9LS0tDc2bN8fixYst9s5e69atIQgCUlJScPPmTYs8p5Tp9XrExccjLj7eYdszH0XswsKkcePGiIqKwq+//gpfX18kJyejW7dueOmll3D9+nVRsz1KBRcXVHBxETuGXdPpdNiybTu2bNsu6zbW4sTHx2Pu3LkACu9Gu7u7i5yo/FhY2JGuXbtCpVLh/PnzuHDhgthxyIq2bt0Kg8GA4OBg1KlTx2bXff/999G+fXs8ePAAQ4cOddgf5lLx0UcfYd++fXB1dcWGDRss2ori6emJZs2aAeBdC6CwsNi6PRJbt0eysPj/LL0Yr7wEQcBLL72ExMRETJo0CQqFAuvXr4efnx8WLFhgNz/PNBoN3p48CW9PnuQQR2CXlcFgwKnTZ3Dq9BnZtrEWR6/XY8yYMdDpdHjxxRfx/PPPix3JIlhY2BFPT088/fTTAHjXQu6ssRSvJFQqFVavXg0PDw8cPnzYvN2T7M/OnTvNt8V/+OEHNG3a1OLX4JwFFefEiRMWX4xnCR4eHliwYAFiY2Px1FNP4cGDB5g8eTJCQkL4vUySsXTpUsTExMDd3R0LFy4UO47FsLCwM2yHkr+MjAzs2bMHgG3mK/6tbt26WLZsGQDgs88+42EBdujq1asYOnQogMK2NWttX+WcBRXHmovxLCEwMBB//fUXIiIiULFiRZw6dQrt2rXD6NGjcefOHbHjET1WamoqZsyYAQCYM2cOatSoIXIiy2FhYWdMhcWff/4p66VAarUa40aPwrjRoyR9rFpZREZGQqvVokmTJlZ5F7okBg0ahGHDhsFgMGDo0KG4f/++KDnov7RaLQYOHIg7d+4gODgY33zzjdWuZbpjcezYMbtpIyH7YS/zFcVRKBQYPXo0kpKS8OqrrwIAli9fjiZNmuCnn34SpcWmoKAAq1avwarVa1BQUGDz65P9mzhxIh48eICnnnrKfCKUXLCwsDNNmjRB/fr1odVqze9qy5EgCKjq7Y2q3t52+U6YNVl7KV5JLVq0CPXr18eVK1cwduxYyS6f0mg0mPnedMx8b7os+pnfffddHDlyBJ6entiwYQOcnJysdi0/Pz94enoiJycHp0+fttp1SHqMRqMkCgsTb29v/PTTTzh48CBatGiBO3fuYNSoUXj66acRHx9v0yxGoxGXr1zF5StXJftzlaxn8+bN2LRpE1QqFSIiImR3vLW8/mlkQBAE9OjRAwDboeQoNzcXkZGRAMQvLNzd3bFu3TqoVCqsX78eq1atEjUPFc7eLFiwAACwatUq1KtXz6rXUygUaNOmDQDOWdDDrl69iuvXr9t0MZ4ldOjQASdOnMDcuXPh6uqKv//+G0FBQZg6dSoePHggdjxycJmZmXjjjTcAANOmTYO/v7/IiSyPhYUdMrVDRUZGyvbdDr1ej/0HDmL/gYMOdQLL7t27kZ2djVq1aiE4OFjsOGjdujU+/vhjAMAbb7yB5ORkkRM5rgsXLphbOd5++22bnRDCOQt6FFOh2bJlS5svxisvtVqNqVOnIjExEf3794der8f8+fPRtGlTbNy4Uba/V8n+ffDBB0hNTUWDBg3w4Ycfih3HKlhY2KFOnTqhQoUKSE1NxalTp8SOYxV6vR4HDv2FA4f+cqjCouhpUPbSAvbuu+/imWeeQXZ2Nl5++WVotVqxI5WKTqfDhv9twob/bZLsnEBubi4GDBiAzMxMdOjQAV988YXNrm1qc3H0wkKlUqH/C33R/4W+UKlUYscRnen7QQptUI9Ts2ZNbNiwAZGRkahfvz5SU1MxYMAAdO/enUe62wG1Wo2pk97E1ElvOsSsZUxMDBYtWgSg8EQoF5nuOWFhYYecnZ3RuXNnAGyHkhOdToetW7cCsP0xs8VRKpX45ZdfULFiRRw/fhyzZs0SO1KpGAwGJCQmISExSbJnoU+aNAlxcXHw9vbGr7/+atNfsqZWqOTkZNy+fdtm17U3CoUCzZr6oVlTP9n1PJeFlOYrnqR79+44c+YMZs6cCY1Gg127dqFFixb4+OOPkZeXJ3Y8hyUIAlxdK8DVtYLdvNFmLQUFBRgzZgyMRiNeeeUVdOnSRexIVsOfnnaKx87Kz4EDB3D37l1UqVIFHTp0EDvOQ2rVqoUffvgBAPDll19i3759IidyHL/88gt++OEHCIKANWvW2PzYwYoVK8LPzw9A4TtqRPa2GM8SXFxc8PHHH+PMmTPo2rUr8vPz8dFHH6FFixbYtWuX2PFI5r755hvEx8ejcuXKmDdvnthxrIqFhZ0yDXAfOXLEod9FlBNTG1SfPn3sstWiX79+eO2118zvqPAceOs7e/as+ajBmTNnomvXrqLkMM1ZOPIAt8FgwLmERJxLSJTsnS9LMS3Gq1q1qtUPELC1Ro0aYdeuXfjtt9/g6+uLixcvIjw8HAMGDEBqaqrFrqNWqx2ivac8dDodIndGIXJnlGTbWEvi0qVL+OijjwAA8+bNg7e3t7iBrIyFhZ2qVasWAgICYDQasXPnTrHjUDkZDAZs3rwZgPinQRVnwYIFaNy4MVJTUzF69GgOOVpRVlYWBgwYgJycHHTp0kXUQT4OcBe+yNm4aTM2btos6xc5JWHvi/HKSxAEDBw4EImJiXjrrbegUCiwceNG+Pn5Yf78+eX+76/RaDBj2lTMmDZVFkdgW4vBYMDxEydw/MQJ2RbzRqMR48ePR25uLp577jkMGzZM7EhWx8LCjrEdSj6OHTuG1NRUuLm5medn7JGrqyvWrVsHtVqNTZs2Yfny5WJHkiWj0YixY8ciISEB1atXx5o1a6BUKkXLY2p3iYmJcajDFOjR5DRfURwPDw988803iI2NRdu2bZGVlYWpU6ciODgYf/31l9jxSAbWrl2LqKgoODk5YenSpbIs1P+NhYUdMxUWO3fudPh30KTOtBSvZ8+ecHZ2FjlN8YKCgsynEk2aNAmJiYkiJ5KfZcuWYe3atVAqlfjtt99QtWpVUfM0b94cbm5uyMrKwrlz50TNQuIquhjPdCdL7gIDA3Ho0CEsX74clSpVQnx8PDp06IBRo0axFZnK7M6dO5g8eTIA4MMPP0SjRo1ETmQbLCzs2FNPPYVKlSrh/v37sut9VqlUGDViOEaNGG6X8waWZDQaHzpmVgqmTJmCLl26IDc3F4MHD0Z+fr7YkWQjNjYWkyZNAgDMmTPHLgb5lUolWrduDcCx5yxIuovxykuhUGDUqFFISkrCqFGjAAA//fQTmjRpguXLl5eqVUen02Htbxuw9rcNfFPQgU2bNg23bt1C8+bNMW3aNLHj2AwLCzumVCoRHh4OAOZtzXKhUChQo7ovalT3lf3RjufOnUNycjI0Go15KN/eKRQKrFq1CpUrV0ZcXBzef/99sSM9llqtxvS3p2D621Psfljy/v37GDBgALRaLfr06YOpU6eKHcmMcxYESHsxniVUqVIFy5cvx6FDh+Dv74+7d+9i9OjR6NChQ4n3ShkMBly4eBEXLl6U7ewAFW///v1YsWIFACAiIsKhZm3k/YpOBkwvRDlnIV2muxXdunWDu7u7yGlKrnr16vjpp58AFJ5kERUVJXKiRxMEARqNBhqNxq77V41GI1599VWkpKSgbt26WLlypV3lNfXT846FY3OU+Yonad++PU6cOIH58+fDzc0Nhw8fRlBQECZPnozMzEyx45Edy8vLw9ixYwEA48ePR7t27UROZFssLOxceHg4FAoFTp8+jStXrogdx2L0ej3+PhKDv4/If1jUNF8hlTaoovr06YPXX38dADB8+HDcunVL5ETSNX/+fGzevBkajQYbN25ExYoVxY70ENOivMTERNy7d0/kNCQWFhb/R6VSYfLkyUhISMCAAQNgMBiwYMECNG3aFOvXr+epefRIX3zxBc6fPw9fX1/Mnj1b7Dg2x8LCzlWuXNncoiCndii9Xo/de/dh9959si4sUlJScPLkSSgUCvTp00fsOGUyd+5cNGvWDGlpaRg5cqTd/TLV6XTYsm07tmzbbrf9zH/99RfeffddAIVH+gYHB4uc6L+8vb3RsGFDAI65KE+pVKJPrx7o06uHqCd0iSkvLw8nT54EwMKiqJo1a2L9+vXYsWMHGjRogOvXr+Oll15CeHg4kpOTxY4nWWq1Gm++Pg5vvj7O7ttYS+rcuXOYM2cOAGDhwoXw9PQUOZHtsbCQAB47K12m3RUdO3ZElSpVxA1TRi4uLli3bh2cnJywfft2LF68WOxIDzEYDDh1+gxOnT5jl/3Mt27dwksvvQS9Xo/BgwebF+LZI0ees1AqlQgMCEBgQIDDFhaxsbGyXYxnCeHh4Thz5gw++ugjODk5ISoqCi1atMCsWbOQm5srdjzJEQQBXl5e8PLysqu20LIyGAwYM2YMCgoK0Lt3b/Tr10/sSKJgYSEBpsJiz549/OElMab5CnteilcSAQEB+OqrrwAAU6dOxZkzZ0ROJA16vR5Dhw5FamoqmjRpgmXLltn1L1DOWTg2uS/GswRnZ2fMmjULp0+fRlhYGLRaLT755BP4+/tzma2DW758Of766y+4urpi0aJFDvv/EAsLCQgICEDNmjWRm5uL/fv3ix2HSujmzZvmJUt9+/YVN4wFTJw4Ed27d0d+fj4GDx7MIrcEPv/8c0RFRcHFxQUbN260++F90x2LmJgYu7z7Y00GgwHnL1zA+QsXHO6f3YTzFSXXqFEj7NixAxs2bECNGjVw8eJFdO/eHf3798e1a6lix5MEvV6P6D17Eb1nr+Rbom/cuIF33nkHQOHP/dq1a4ucSDwsLCRAEASeDiVBW7ZsgdFoRGhoKGrVqiV2nHITBAErVqxA1apVcebMGfPMAD3a7t278dFHHwEAli5dihYtWogbqAQCAgLg4uKCjIwMJCUliR3HpnQ6HX5dvxG/rt9ot7M61lR0MR4Li5IRBAH9+/dHQkICpkyZAqVSid9//x0BAf6ooFFhxrSpDnXMaGnp9XocjjmKwzFHJV9YvPXWW8jIyEBISAjeeOMNseOIioWFRBSds7C34Vl6NKktxSuJatWqYdWqVQCA7777joXuY6SmpuLll1+G0WjEa6+9hmHDhokdqURUKhVCQ0MBsB3K0Vy9ehU3btyASqVyqMV4luDu7o558+bhxIkTaNeuHbKzszFt2jSEhITg+vXrYscjK/vjjz+wfv16KJVKREREOOyMlgkLC4no3LkznJyc8M8//yAhIUHsOPQE9+/fx969ewFIf77i38LDw82bo1999VWkpaWJnMi+FBQUYNCgQbh16xZatmyJhQsXih2pVEzvVjviALcjK7oYr0KFCiKnkaaAgAAcPHgQP/74IypXroz4+HiEhYXh7t27YkcjK8nKyjIfyT558mS0atVK5ETis2phcffuXQwZMgQeHh7w8vLCqFGjkJWVVexjOnXqBEEQHvqw51NUbMXV1RWdOnUCII92KJVKhWFDBmPYkMFQqVRix7G4P/74AwUFBWjWrBmaNGkidhyLmzNnDgICAnDr1i0MHz7cYXvSH+WDDz7AoUOH4O7ujg0bNsDFxUXsSKVimrPgHQvHwjYoy1AoFBg5ciSOHj0KX19fnDlzBr169UJ2drbY0cgKZs2ahStXrqBOnTrm1ldHZ9XCYsiQITh79iyio6Oxfft2HDhwAGPGjHni40aPHo0bN26YP0yn0Tg6UzuUHPZZKBQK1K1TB3Xr1IFCIb8bZ1JeilcSzs7OWLduHZydnREVFYVvv/1WtCxqtRpTJ72JqZPeFP0s9K1bt5p/Xq1YsQKNGjUSNU9ZmAqLs2fPcsOwA2FhYVn169fHrl274OXlhcOHD+PFF1+EVqsVOxZZUGxsLBYsWAAAWLJkCVxdXcUNZCes9oouISEBO3fuxPLly9GmTRt06NAB3333HX799dcn9hxWqFABPj4+5g8PDw9rxZQU0wD3oUOHkJGRIXIaepzc3Fzs2LEDgPzaoIpq1qwZ5s+fDwCYPn064uLiRMkhCAJcXSvA1bWCqMf7paSkYPjw4QCASZMmSfYMcx8fH9StWxdGoxFHjx4VOw7ZABfjWYe/vz8iIyNRoUIFREVF4ZVXXpH8kDIV0ul0GDNmDAwGAwYNGoTu3buLHcluWK2wOHz4MLy8vB4aAuvSpQsUCsUTt7quWbMGVapUQYsWLTBjxgzk5ORYK6akNGjQAE2aNIFOp0NUVJTYccpFr9fj2PFYHDseK7sftFFRUcjJyUGdOnVk3285btw49OnTB1qtFoMHD3bY/1fz8/MxcOBA3L9/H0899ZTk77I68qI8R1R0MV7dunXFjiMrbdu2xf/+9z+o1WqsX78er7/+Og9gkYGFCxfixIkT8PLyMt+1oEJWKyzS0tJQtWrVhz6nUqlQqVKlYoc9X375ZaxevRr79u3DjBkz8Msvv2Do0KGP/fr8/HxkZmY+9CFnctnCrdfrsSMqGjuiomVXWBQ9DUruC3IEQcCPP/4IX19fJCYmYsqUKTbPoNPpELkzCpE7o0Q7JnTKlCk4fvw4KlWqhN9++03yR0w64qI8pVKJ7t26onu3rg53qgsX41lXWFgYVq9eDUEQEBERgffff1/sSHZBrVZj3OhRGDd6lOhtrKVx+fJlfPjhhwCAr7/+GtWqVRM5kX0pdWExffr0/wxX//sjMTGxzIHGjBmDsLAw+Pv7Y8iQIfj555+xadMmXLx48ZFfP3v2bHh6epo/5LAvoDimwmLHjh0cmLVDBQUF2LZtGwD5zlf8W5UqVfDzzz8DAJYtW4bNmzfb9PoGgwHHT5zA8RMnRPl/4tdff8XixYsBAKtXr5bFYqSidywc5d1VpVKJ0JBghIYEO3RhQdYxcOBALF26FEDh65Z58+aJnEh8giCgqrc3qnp7S6agNRqNmDBhAnJycvD0009j5MiRYkeyO6UuLKZOnYqEhIRiP+rXrw8fHx+kp6c/9FidToe7d+/Cx8enxNdr06YNAODChQuP/PMZM2YgIyPD/HH16tXS/iNJSocOHeDu7o709HQcP35c7Dj0L3/++Sfu3bsHb29vtG/fXuw4NtOlSxdMmzYNADBq1CikpjrG5tmkpCSMHj0aAPDee+/Jps82MDAQTk5OuHv3LpKTk8WOQ1bExXi2M2bMGHzxxRcAgLfffhs//fSTyImotDZs2IA//vgDGo0Gy5Ytk+XhM+VV6n8j3t7e8PPzK/ZDo9Ggbdu2uH//PmJjY82P3bt3LwwGg7lYKAnTQKivr+8j/9zJyQkeHh4PfciZRqNBt27dAEi/HUqOTG1Qzz//vMO96/nZZ58hKCgId+/exbBhw2R/Ry0nJwf9+/dHVlYWOnXqhI8//ljsSBaj0WgQHBwMwHHmLAwGA/65fBn/XL4s++/doq5cucLFeDY0ffp0TJ06FUDhCZim3xmOSK/XY/+Bg9h/4KAkWqLv3buHN998E0Dhm9pNmzYVOZF9slqp1bRpU4SHh2P06NE4evQo/vrrL7zxxhsYNGgQqlevDqBwO62fn5/55JGLFy/i008/RWxsLP755x9s3boVw4YNQ8eOHREQEGCtqJIjlzkLuTEYDOY2IDmfBvU4Go0Ga9euRYUKFbB3717MnTtX7EhWYzQa8frrr+PMmTPw8fHBunXrZLePxdHmLHQ6HX5esw4/r1kn2qyOGLgYz7YEQcDXX3+NkSNHwmAwYPDgwdizZ4/YsUSh1+tx4NBfOHDoL0kUFtOnT8fNmzfRpEkTzJgxQ+w4dsuq93DWrFkDPz8/dO7cGT169ECHDh0QERFh/vOCggIkJSWZT5LRaDTYvXs3unXrBj8/P0ydOhX9+vUz96xTIVO7RWxsLG7cuCFyGjKJiYnBjRs34O7ujueee07sOKJo0qSJedP0+++/L9t2vZ9++gmrVq2CQqHAunXrStXeKRU8GcoxsA3K9gRBwLJly/DCCy9Aq9Wib9++OHbsmNixqBiHDh0yv36NiIiAk5OTyInsl1ULi0qVKmHt2rV48OABMjIy8NNPP8HNzc3856az0k0bpWvVqoU///wTd+7cQV5eHpKTk/HVV1/Jvr2ptHx8fMy3rE37Ekh8pqV4vXr1cugfOiNHjkT//v2h0+nw8ssvIysrS+xIFnXq1Cm88cYbAIBPP/3U/PNLbkwvNOPj42X335D+DwsLcahUKqxduxbPPfccsrKy0L17d5w7d07sWPQI+fn55uXOo0aNQseOHUVOZN84dSJRUm+HUqlUGDSwPwYN7C+LFhKj0WjulXXENqiiTEcq1qxZE8nJyZg0aZLYkSwmMzMTAwYMQF5eHnr06IHp06eLHclqatSogZo1axaeuiXTO0+OLjc3l4vxROTs7IzNmzcjNDQUd+7cQbdu3XD58mWxY9G/fPXVV0hISEDVqlUlv6PIFlhYSJSpsIiOjoZWqxU5TekpFAo0btgQjRs2lMWpCmfOnMHFixfh5OSE8PBwseOIrmLFiuZz23/66Sds2LDBatdSq9V48/VxePP1cVY9C91oNGLUqFFITk5G7dq18fPPP8vie7c4jjZn4WhOnDgBnU6HatWqcTGeSNzd3REZGYmmTZsiNTUVXbt2xc2bN8WORf9fUlISPvvsMwDAggULUKlSJZET2T95/1aUseDgYFStWhUPHjzAoUOHxI7j8Ex3K8LCwh5q93NkzzzzDN577z0AhccsXrlyxSrXEQQBXl5e8PLysupZ6N999x02btxo3qBbuXJlq13LXnDOQt64GM8+VKlSBVFRUahduzaSk5MRHh6OjIwMsWM5PKPRiHHjxkGr1SI8PByDBg0SO5IksLCQKIVCYR7ilmI7lF6vR1x8POLi4yVxGsSTmOYrHGUpXknNmjULbdq0wf379zF06FDJ/reOiYnB22+/DQCYO3duqY7MljLTHQtHWpTnSDhfYT9q1qyJ6OhoeHt7Iy4uDr1790Zubq7YsRzaypUrsX//fri4uGDx4sUsvkuIhYWESXnOQq/XY+v2SGzdHinZF5smFy9exKlTp6BUKtG7d2+x49gVtVqNNWvWwM3NDQcPHsTs2bMtfg29Xo/oPXsRvWevVb6X7ty5g4EDB6KgoAD9+vXDxIkTLX4Ne9WqVSuo1Wqkp6cjJSVF7DhWpVQq0eW5Z9HluWcdYgcNF+PZn8aNG2PXrl3w8PDAwYMHzT935EqlUmHUiOEYNWK43c1apqenm/eNfPLJJ6hXr57IiaSDhYWEdevWDSqVCklJSbh48aLYcRyW6W7FM8884xDtMaXVoEEDLF68GADw0UcfWbytRq/X43DMURyOOWrxwsJgMGDYsGG4cuUKGjZsiB9//NGh3rVydnZGUFAQAPm3QymVSrR7qg3aPdXGIQoLLsazT61atcK2bdvg7OyM7du349VXX5XtwkaFQoEa1X1Ro7qv3c2rTZkyBffu3UNgYCDeeustseNIin39l6RS8fT0RIcOHQBI866FXJgKC0c/Dao4Q4cOxeDBg6HX6/Hyyy8jMzNT7Egl8uWXXyIyMhLOzs7YuHEjPD09xY5kc6Y5Cw5wy4vpv2dgYCBcXFxETkNFdezYERs2bIBSqcSaNWvw1ltvsRXRhnbt2oU1a9ZAoVAgIiLC7u6m2DsWFhIn5XYoObhx4wb+/vtvAEDfvn3FDWPHBEHAkiVLULduXaSkpGDChAliR3qi/fv344MPPgAALFq0CC1bthQ5kTgcZYDbYDAg9foNpF6/Idt3iItiG5R969WrF1atWgWg8OCITz75RORElqfX6/H3kRj8fSTGblqic3JyMH78eADAxIkTERoaKnIi6WFhIXGmwmL//v1cYiWCLVu2AADatGmDGjVqiJzGvnl6emL16tVQKBRYvXo11qxZI3akx0pLS8OgQYNgMBgwfPhwjBw5UuxIojG98IyLi5P1MKlOp8OPK1fhx5WroNPpxI5jdabCwlQ4kv0ZMmQIFi5cCKCwjfS7774TOZFl6fV67N67D7v37rObwuKTTz5BSkoKatasiU8//VTsOJLEwkLi/Pz8UK9ePWi1WuzZs0fsOA6HS/FKp3379pg5cyYAYPz48bh06ZLIif5Lr9dj8ODBuHnzJpo3b47vv//eoeYq/q127drw8fGBTqdDbGys2HHIArgYTzomTpyIjz76CADw5ptvYvXq1eIGkrFTp05h7ty5AIDFixfD3d1d5ETSxMJC4gRBYDuUSO7du4d9+/YB4DGzpfH++++jffv2ePDgAYYOHWp37w7PmjUL+/fvh5ubGzZu3AhXV1exI4lKEAQuypOZ2NhYLsaTkJkzZ5pPoxsxYgS2b98uciL50ev1GDNmDPR6Pfr168cTHsuBhYUMmAqLyMhIyQx4qVQq9H+hL/q/0Feyg1Hbt2+HTqdDixYt0KhRI7HjSIZKpcLq1avh4eGBw4cP29Xt5h07duDzzz8HAPzwww/w8/MTOZF9cJQ5C0fBxXjSIggCFixYYN4FNGDAABw4cEDsWLKyePFiHD16FB4eHub2MyobFhYy0KlTJ7i4uCA1NRXx8fFixykRhUKBZk390Kypn90dM1dSXIpXdnXr1sWyZcsAAJ999hkOHjxY5udSq9UYN3oUxo0eBbVaXebnuXLlCoYOHQoAeP3117lltYiidyyk8uYFPR4Ht6VHoVDgp59+Qq9evZCXl4fevXub29mofK5evYr33nsPADBnzhxUr15d5ETSJs1XdPQQZ2dndO7cGQDboWwlJycHO3fuBMD5irIaNGgQhg8fDoPBgKFDh+L+/ftleh5BEFDV2xtVvb3L/O6rVqvFwIEDcffuXQQHB2P+/Plleh65Cg4Ohkqlwo0bN3D16lWx41A5cDGedKnVaqxfvx4dO3ZEZmYmwsLCcP78ebFjSd7EiRORlZWFtm3bYuzYsWLHkTwWFjIhtTkLg8GAcwmJOJeQKMmjHXft2oXc3FzUrVvXYY8htYTvvvsODRo0wJUrVzB27FjR3g1/9913ERMTAy8vL2zYsAFOTk6i5LBXFSpUMH+fc85C2i5fvoy0tDQuxpMoFxcXbN26Fa1atcKtW7fQtWtXXLt2TexYkrVp0yZs2bIFKpUKERERku2gsCf8NygTPXr0AFDYA33nzh2R0zyZTqfDxk2bsXHTZrsb3i2JoqdBsUe57Nzd3bF27VqoVCqsX7/efG57aej1euw/cBD7Dxws05GFv//+OxYsWAAAWLVqFerVq1fq53AEcp+zUCqV6NihPTp2aC/rzdtcjCd9np6e2LlzJxo1aoQrV66gW7duuH37ttixSk2lUmHYkMEYNmSwKLOWmZmZeOONNwAA77zzDlq0aGHzDHLEwkImateuDX9/fxgMBnOLDlmHVqvFtm3bAHC+whJat25tXv70xhtvIDk5uVSP1+v1OHDoLxw49FepC4sLFy6Yd1RMmzYNffr0KdXjHYncT4ZSKpXo1PFpdOr4tKwLC1NhyDYoaatatSqio6NRo0YNJCQkoEePHnjw4IHYsUpFoVCgbp06qFunjih3Ct577z1cv34dDRs2NC9DpfJjYSEjUmuHkqr9+/cjIyMD1apV4y9nC3nnnXfwzDPPIDs7Gy+//DK0Wq3Vr5mbm4v+/fsjMzMTHTp0MJ8GRY9mumNx8uRJ5Ofni5yGyorzFfJRp04dREVFoXLlyjh27Bj69u2LvLw8sWNJwpEjR7B48WIAwNKlS3n3zoJYWMiIqbDYuXOnJNuLpMLUBvX888/L+p1NW1Iqlfjll19QsWJFHD9+HLNmzbL6Nd98802cOnUK3t7e+PXXX8t1opQjqF+/Pry9vaHVamV5Go3RaET6rVtIv3VLtidfcTGe/DRr1gw7duyAm5sb9u7di5dfflkyv//1ej2OHY/FseOxNt28XVBQgNGjR8NoNGLYsGHmw2/IMlhYyMhTTz2FihUr4t69e7LtgxabXq/H5s2bAfA0KEurVasWfvjhBwDAl19+aV4+aA0///wzli9fDkEQsHbtWtSoUcNq15ILQRDMdy3k2A5VUFCApT/8iKU//IiCggKx41iFaTGej48P6tSpI3YcspDQ0FBs3rwZGo0GmzZtEvUgjNLQ6/XYERWNHVHRNi0s5s2bhzNnzqBy5cqYN2+eza7rKFhYyIhKpUJ4eDgAtkNZy5EjR3Dz5k14enri2WefFTuO7PTr1w+vvfYajEYjXnnlFascRHD27FmMHz8eQOGW7S5dulj8GnJlepebb1xIExfjyVfnzp3x66+/mvddTJs2TRLFha1dvHgRH3/8MQBg/vz5qFKlisiJ5IeFhcxwzsK6TEvxevXqBY1GI3IaeVqwYAEaN26M1NRU8+1qS8nKykL//v2Rk5ODrl27cmCvlOR8x8IRcL5C3l544QXzXd958+Zhzpw5IieyL0ajEePGjUNeXh46d+6MV155RexIssTCQmbCw8OhUChw+vRpXLlyRew4j6VUKtGnVw/06dVDMnMKRqPxoWNmyTpcXV2xbt06qNVqbNq0CcuXL7fI8xqNRowZMwaJiYmoUaMG1qxZI5nvPXsRGhoKhUKBq1evIjU1Vew4VApcjOcYRo4ciblz5wIoPPVo2bJlIieyH2vWrMHu3bvh7OyMpUuX8q6dlbCwkJnKlSub31XcsWOHyGkeT6lUIjAgAIEBAZJ5cRcfH4+UlBQ4OzsjLCxM7DiyFhQUhC+++AIAMGnSJCQmJj72a1UqFUaNGI5RI4YXexb60qVLsW7dOiiVSvz222/w9va2eG65c3Nzg7+/PwC2Q0lN0cV4wcHBYschK5o6dSpmzJgBABg/fjzWr18vciLx3b59G5MnTwYAzJw5Ew0bNhQ5kXyxsJAhtkNZh+luRXh4OFxdXUVOI39TpkxBly5dkJubi8GDBz/2iFOFQoEa1X1Ro7rvY89Cj42NxVtvvQUAmDNnDtq3b2+t2LIn90V5csXFeI7l888/Nw9xDx06FLt27RI7kqimTZuG27dvo0WLFnj77bfFjiNrLCxkyLSFe8+ePXZ7prXBYMD5Cxdw/sIFGAwGseOUiKmw4FI821AoFPj5559RpUoVxMXF4f333y/T89y7dw8DBgyAVqvF888/j6lTp1o4qWOR+6I8uWIblGMRBAHff/89Bg4ciIKCArz44ov4+++/xY4lir1792LlypUQBAERERE8WtzKWFjIUMuWLVGjRg3k5ORg//79Ysd5JJ1Oh1/Xb8Sv6zdK4szt5ORknDlzBiqVCr169RI7jsPw9fXFjz/+CKBwGDEqKuo/X6PX6/H3kRj8fSTmP0cWGo1GvPrqq0hJSUG9evXMv1yo7Ex3LGJjY22yyNBWlEol2rZpjbZtWkumPbM0WFg4HtN+oLCwMOTk5KBnz544ffq02LHMVCoVBg3sj0ED+xfbxloeubm5GDt2LIDCtjB+/1sfCwsZEgTBfNeC7VCWYToNqlOnTqhUqZLIaRxLnz598PrrrwMAhg8fjlu3bj3053q9Hrv37sPuvfv+U1jMmzcPW7ZsgUajwYYNG+Dl5WWr2LLVuHFjVKxYEXl5eTh16pTYcSxGqVSia+fn0LXzc7IrLHJzcxEXFweAhYWj0Wg0+P3339G2bVvcv38f3bp1w6VLl8SOBaDwrnTjhg3RuGHDx7axltfnn3+OCxcuwNfX1zy3R9bFwkKmis5Z8Czr8jMVFjwNShxz585Fs2bNkJaWhpEjR5boe/rQoUOYPn06AODbb7/lwKqFFF2UxzkLaTh+/DgX4zkwV1dXbN++HS1atEBaWhq6du2KGzduiB3L6s6ePYsvv/wSALBo0SJ4enqKnMgxsLCQqc6dO0Oj0SAlJaXYE3XoyVJTU3HkyBEIgoC+ffuKHcchubi4YN26dXBycsL27duxePHiYr/+1q1beOmll6DX6zF48GDzrXCyDDnOWRiNRty/fx/379+X3ZsxXIxHlSpVQlRUFOrXr49Lly6hW7duuHfvnqiZ9Ho94uLjERcfb/HN2waDAWPGjIFOp0OfPn04G2lDLCxkys3NDZ06dQLAdqjy2rJlC4DC3nJfX1+R0ziugIAAfPXVVwAKj1M8c+bMI79Or9djyJAhuH79Ovz8/BAREcEXUxYmxzsWBQUFWLh4KRYuXoqCggKx41gU5ysIKJxZi46Oho+PD86cOYOePXsiOztbtDx6vR5bt0di6/ZIixcWERER+Pvvv+Hm5oZFixbxd4ANsbCQMR47axlcimc/Jk6ciO7duyM/Px+DBw9Gbm7uf77ms88+Q3R0NCpUqICNGzfCzc1NhKTy1rp1awiCgJSUFNy8eVPsOFQMLsajourXr4+oqCh4eXnh8OHD6Nevn6wOYQCA69ev49133wVQOGNRq1YtkRM5FhYWMmYqLA4dOoSMjAyR00jT3bt3zSdr8Vaq+ARBwMqVK1G1alWcOXPG/MvDZO/evfj4448BFC7Ea968uRgxZc/T0xPNmjUDIK+7FnJ0+fJl3Lx5k4vxyMzf3x9//PEHXFxcsGvXLgwbNszidwzENGnSJGRmZiI0NBQTJkwQO47DYWEhYw0aNECTJk2g0+keeUynmJRKJbp364ru3bra9Qks27Ztg16vR0BAABo0aCB2HAJQtWpVrFq1CgDw3XffYefO/1v8ZBrsHj16NF555RWxIjoEOc5ZyJHpv0+rVq24GI/M2rVrh02bNkGtVuO3337DhAkTZDFbtG3bNmzcuBFKpRIRERF2/fpCrlhYyJy9tkMplUqEhgQjNCTYrv/HN50GxbsV9iU8PNy8SXv06NfQvVsXHI85jLS0NAQGBuLbb78VN6ADkOOchRyxDYoeJywsDL/88gsEQcCyZcvwwQcfiB2pXLKyssx3KKZMmYLAwEBxAzkoFhYyZyosduzYIZkN1/YiKysLu3YVvhvO+Qr7M3v2bAQEBCA9PR3hYWHYtnUr3N3dsWHDBr4zawOmF6rHjh2TxJJLR8XCgorz0ksvYcmSJQCAL774AvPnzxc5Udl9+OGHuHr1KurVq4dZs2aJHcdhsbCQuQ4dOsDd3R3p6emIjY0VO46ZwWDAP5cv45/Ll+224Nm5cyfy8vJQv359+Pv7ix2H/sXZ2Rnr1q2Ds7Mz7t69CwBYsWIFGjZsKHIyx+Dn5wdPT0/k5OTY1TZf+j9cjEclMXbsWHz++ecACk/cW7FihciJSu/48eNYuHAhAGDJkiVwdXUVOZHjYmEhcxqNBl27dgVgX+1QOp0OP69Zh5/XrLPbdzuLLsXjUXX2qVmzZvj+++8hCALeffdd3lmyIYVCgTZt2gCQRzuUQqFASFAQQoKCrLYF2NZMi/F8fX1Ru3ZtseOQHZsxYwamTp0KAHjttdewefNmq19TpVKh/wt90f+FvlCpVGV+Hp1Oh9GjR8NgMGDw4MEICwuzYEoqLXn89KRi2euchT3TarXYvn07AM5X2LuRI0ciIyMDc+bMETuKwzHNWchhgFulUqFHeDf0CO9Wrhc59oSL8aikBEHA119/jVdffRUGgwEvvfQS9u7da9VrKhQKNGvqh2ZN/cpVzH/77beIi4tDxYoV8c0331gwIZUFCwsH0KNHDwCF716lpaWJnEYa9u7di8zMTPj4+JhfPJH9cnd3FzuCQ+IAt30zFRb8GUYlIQgCIiIi0LdvX2i1Wjz//PM4duyY2LGK9c8//2DmzJkAgK+//hrVqlUTORGxsHAAPj4+5vPLd+zYIXIaaTAtxXvhhRdk0xZBZGmmVqjk5GTcvn1b5DTlYzQakZ2dg+zsHFkcu8nFeFQWKpUK69atw3PPPYesrCx0794dCQkJVrmWwWDAuYREnEtILNOspdFoxPjx45GTk4NnnnkGI0eOtEJKKi2+YnIQbIcqOb1ejy1btgBgGxRRcSpVqoQmTZoAAGJiYkROUz4FBQWY9+1CzPt2IQoKCsSOU27//PMPF+NRmTg7O2Pz5s0IDQ3FnTt30K1bN1y+fNni19HpdNi4aTM2btpcplnL3377DTt37oRGo8GyZcvY7mcnWFg4CFNhERUVBa1WK3Ia+/b3338jPT0dXl5e6NSpk9hxiOwaF+XZJy7Go/Jwd3dHZGQkmjZtimvXrqFr165IT08XO5bZvXv3MGnSJADAe++9Z36Dg8THwsJBhISEoGrVqnjw4AEOHTokdhy7ZjoNqnfv3lCr1SKnIbJvnLOwT2yDovKqUqUKoqKiULt2bSQnJyM8PBwZGRlixwIAvPvuu0hPT4efnx+mT58udhwqgoWFg1AoFOjevTsA+2iHUiqV6PLcs+jy3LN2tXnbaDSa5yt4dCnRk5leuMbExECv14uchkxYWJAl1KxZE9HR0fD29sbJkyfRp08f5Obmiprp4MGD+OGHHwAAERERcHJyEjUPPYyFhQOxpzkLpVKJdk+1Qbun2thVYREXF4fLly/DxcUF3bp1EzsOkd1r3rw53NzckJWVhXPnzokdhwDk5OTg1KlTAFhYUPk1btwYO3fuhIeHBw4cOICXXnpJtDmk/Px8jBkzBgAwevRoPP3006LkoMdjYeFAunXrBqVSiaSkJFy8eFHsOHbJdLeie/fuqFChgshpiOyfUqlE69atAXDOwl5wMR5ZWlBQELZt2wZnZ2ds27YNI0eOLNNJTuU1Z84cJCYmolq1avjyyy9tfn16MhYWDsTT0xMdOnQAAERGRoqaxWAwIPX6DaRevyHKD6fHKXrMLBGVDOcs7IvpvwMX45EldezYEevXr4dSqcTq1asxefJkmx7NnJiYiC+++AJA4VK8ihUr2uzaVHIsLByMvbRD6XQ6/LhyFX5cuapMx8xZQ1JSEs6dOweVSoVevXqJHYdIMuRwMpRCoUBL/xZo6d9C8rtrOF9B1tK7d2+sXLkSALBw4UJ8+umnZX4upVKJPr16oE+vHk9siTYYDBg7diy0Wi26d++OgQMHlvm6ZF3S/ulJpWYqLPbv34/s7GyR09gX02lQnTt3hpeXl7hhiCTEtCgvMTER9+7dEzlN2ahUKjzfuxee790LKpVK7DhlxsV4ZG1Dhw7Ft99+CwCYNWsWFi1aVKbnUSqVCAwIQGBAwBMLixUrVuDAgQOoUKECFi9ezDtxdoyFhYNp2rQp6tati/z8fOzZs0fsOHbFVFiwDYqodLy9vdGwYUMAwNGjR0VO49hMi/HUajUX45HVvPnmm5g1axYAYOLEiVizZo3VrnXz5k1MmzYNAPDJJ5+gbt26VrsWlR8LCwcjCILdtEPZk2vXruHo0aMQBAHPP/+82HGIJMc0ZyHVdiij0QitVgutVmvTvnFLK7oYz9nZWeQ0JGezZs3CG2+8AQAYPnx4qV9TGAwGnL9wAecvXCh21nLy5Mm4d+8eWrVqZV6KR/aLhYUDMhUWkZGRkv4FakmbN28GALRr1w4+Pj7ihiGSIFPbjVQHuAsKCjBn7nzMmTtftKM0LYFtUGQrgiDg22+/xZAhQ6DX69G/f38cPHiwxI/X6XT4df1G/Lp+42NnLXfu3Il169ZBoVAgIiJC0m2KjoKFhQPq1KkTXFxccO3aNcTHx4sdxy5wKR5R+RQ9GcqeTnpzNCwsyJYUCgVWrFiBnj17Ii8vD7169cLJkyct8tzZ2dkYP348gMLWq5CQEIs8L1kXCwsH5OLigs6dOwNgOxQA3L59GwcOHADA+QqisvL394eLiwsyMjKQlJQkdhyHxMV4JAa1Wo0NGzbg6aefRmZmJsLDw5GcnFzu5/3444/xzz//oHbt2uU6fYpsi4WFgxJ7zkKpVKJjh/bo2KG96Ju3t23bBr1ej8DAQNSrV0/ULERSpVarERoaCkC6cxZSV3QxXq1atcSOQw7ExcUF27ZtQ2BgINLT09G1a1dcu3atzM8XFxeH+fPnAwC+//57uLm5WSoqWRkLCwfVo0cPAIVtC3fu3LH59ZVKJTp1fBqdOj4temHBpXhElsFFeeIq2gbF4zjJ1jw9PbFz5040bNgQly9fRlhYWJleX+j1eowePdo8t8G9UtLCwsJB1a5dG/7+/jAYDNi1a5fYcUTz4MEDREdHA+B8BVF5yWFRnpRxvoLEVq1aNURHR6NGjRo4d+4cevTogQcPHpTqOb7//nscP34cnp6eWLhwoZWSkrWwsHBgprsWYrRDGY1GpN+6hfRbt0Q9mWrHjh3Iz89Hw4YN0bx5c9FyEMmB6Y7F2bNnkZmZKXIax8LFeGQv6tati6ioKFSqVAlHjx7FCy+8gPz8/BI99urVq3j//fcBAHPmzIGvr681o5IVsLBwYKY5i507d0Kv19v02gUFBVj6w49Y+sOPoh7taFqK9+KLL7J1gKicfHx8ULduXRiNRsktylMoFGjq1wRN/ZpAoZDer8aUlBSkp6dzMR7ZhWbNmmHHjh1wdXXFnj178PLLL//nSFmlUonu3bqie7euUCqVMBqNmDBhArKystCuXTuMGTNGpPRUHtL76UkW07ZtW1SsWBF37951yJ7o/Px8890atkERWYZU5yxUKhUGvPgCBrz4giTPyudiPLI3rVu3xpYtW6DRaPC///0P48aNe6hDQalUIjQkGKEhwVAqlfjf//6Hbdu2Qa1WIyIiQpIFPrGwcGgqlQphYWEAHPPY2T179uDBgweoXr26+TQbIiofzlmIg21QZI86d+6MX3/9FQqFAj/++CPeeeedR7Y/Z2RkYOLEiQCAd955h63JEsbCwsGJfeysmIqeBsV3Rogso+gdCzHnpxyN6Q4RCwuyNy+88AJ++OEHAMDcuXPx5ZdfAgAMBgP+uXwZ/1y+jPfeew83btxAo0aN8MEHH4gZl8pJevd7yaLCw8MhCALi4+Nx9epVhzn7XK/XY8uWLQB4zCyRJQUGBsLJyQl3795FcnIyGjduLHakEtFqtZgzt/Dc/OlvT4FGoxE5UclxMR7Zu5EjR+Lu3buYNm0aZsyYgUqVKmHEiBH4ec06AMDy5csBAEuXLmUrn8TxbVoHV6VKFfM7jJGRkSKnsZ1Dhw7h9u3bqFSpEjp27Ch2HCLZ0Gg05uFhqc1ZSJVpMV716tUd5s0hkp63334bM2bMAACMGzfOfHgKUHiq2YgRI/Dcc8+JFY8shIUFOWQ7lOkHWu/evaFWq0VOQyQvpnfNWVjYBhfjkVR8/vnnGDt2LIxGI0aOHGn+fOXKlTF37lwRk5GlsLAgc2GxZ88e5OXl2eSaSqUSbdu0Rts2rW2+edtoNJrnK3gaFJHlme6CcoDbNji4TVIhCAK+//57DBw48KGj5r/88ktUrlxZxGRkKSwsCC1btkSNGjWQk5OD/fv32+SaSqUSXTs/h66dn7N5YREbG4urV6/C1dUVXbt2tem1iRyB6QVufHw8srOzRU4jb1yMR1KjVCrxyy+/4Nlnn8Ws92fg0P69eOWVV8SORRbCwoIgCIJ5C7cjzFmY2qC6d+8OFxcXkdMQyU+NGjVQs2ZNGAwGHDt2TOw4slZ0MV5QUJDYcYhKRKPRYMuWLdiyZQs2b97MFj4ZYWFBAGAuLP744w+bHBFpNBpx//593L9/3+ZHUrINisj6pLooT2pMdyuCgoJ4mg5JirOzM/r06YMKFSqIHYUsiIUFAQC6dOkCjUaDS5cuISkpyerXKygowMLFS7Fw8dKH+iytLSEhAYmJiVCr1eZiiogsT2qL8hQKBRo2aICGDRpIaq+N6d+vqZAjIhKTdH56klW5ubnhmWeeASDv06FMbVBdunSBp6enyGmI5Etqi/JUKhVefmkAXn5pAFQq6ax44nwFEdkTqxUWn3/+Odq1a4cKFSrAy8urRI8xGo2YOXMmfH194eLigi5duiA5OdlaEelfHOHYWVNhwaV4RNYVFBQEtVqN9PR0pKSkiB1HlrKzs7kYj4jsitUKC61WiwEDBmD8+PElfsxXX32FhQsXYunSpYiJiYGrqyvCwsJsdgSqozMVFgcPHkRGRobIaSzvypUrOH78OARBwPPPPy92HCJZc3Z2RqtWrQBwzsJajh8/Dr1ez8V4RGQ3rFZYfPzxx5g8eTL8/f1L9PVGoxELFizABx98gOeffx4BAQH4+eefcf36dWzevNlaMamIhg0bonHjxtDpdIiOjhY7jsWZvo86dOiAqlWrihuGyAFIac5Cq9Vi9tfzMPvredBqtWLHKREuxiMie2M3MxYpKSlIS0tDly5dzJ/z9PREmzZtJPFLSS7k3A7F06CIbEtqJ0MVFBTY9DCJ8uJ8BRHZG7spLNLS0gAA1apVe+jz1apVM//Zo+Tn5yMzM/OhDyo7U2ERGRkJg8EgchrLuXXrFg4ePAgA6Nu3r7hhiByE6QVvXFwccnNzRU4jL1yMR0T2qFSFxfTp0yEIQrEfiYmJ1sr6SLNnz4anp6f5g32m5fP000/D3d0d6enpiI2Ntdp1FAoFQoKCEBIUZJOjHbdu3QqDwYCgoCDUrVvX6tcjIqB27drw8fGBTqez6s8TR5SSkoJbt25xMR4R2ZVSvaKbOnUqEhISiv2oX79+mYL4+PgAAG7evPnQ52/evGn+s0eZMWMGMjIyzB9Xr14t0/WpkEajQdeuXQFYtx1KpVKhR3g39AjvZpOjHU1tUDwNish2BEGQ1JyFlHAxHhHZo1IVFt7e3vDz8yv2Q6PRlClIvXr14OPjgz179pg/l5mZiZiYmGJv8zo5OcHDw+OhDyqfou1QcpCZmYndu3cD4HwFka1Jbc5CKtgGRUT2yGo9KFeuXEFcXByuXLkCvV6PuLg4xMXFISsry/w1fn5+5r0CgiDgrbfewmeffYatW7fi9OnTGDZsGKpXr86eeBvr3r07AODYsWP/uYNkKUajEdnZOcjOzrH68qzIyEhotVo0adIETZs2teq1iOhhRe9YSGFRnlSwsCAie2S1HpSZM2di1apV5r83nWe+b98+dOrUCQCQlJT00L6Ed955B9nZ2RgzZgzu37+PDh06YOfOnbzNa2O+vr4ICgrCiRMnsGPHDowYMcLi1ygoKMC8bxcCAKa/PaXMd7pKouhSPB7JSGRbwcHBUKlUuHHjBq5evYratWuLHemRBEFAndq1zH9tz7gYj4jsldXuWKxcuRJGo/E/H6aiAih817roi1ZBEPDJJ58gLS0NeXl52L17Nxo3bmytiFQMuRw7m5eXZ27pYhsUke1VqFABLVu2BGDf7VBqtRrDhw7B8KFDoFarxY5TLNNivBo1avDAEiKyK3Zz3CzZF1NhERUVJalz3f9t9+7dyMrKQs2aNRESEiJ2HCKHZJqz4AC3ZbANiojsFQsLeqTQ0FB4e3sjMzMThw4dEjtOmRU9Dcre2xuI5Mr0Atie71hICQsLIrJXLCzokRQKhXmIW6rtUDqdDlu3bgXAY2aJxGS6Y3HixAnk5+eLnObRtFot5n7zLeZ+8y20Wq3YcR6Li/GIyJ6xsKDHkvqcxcGDB3Hnzh1UrlwZTz/9tNhxiBxW/fr1UaVKFWi1Wpw8eVLsOI+Vk5uLHDvfEH7p0iXzYjzToShERPaChQU9Vrdu3aBUKpGYmIhLly6JHafUTG1Qffr0sckSPiJ6NC7KsxwuxiMie8bCgh7Ly8sLHTp0AGD5uxYKhQIt/VugpX8LKBSW/zY0GAzmY2Z5GhSR+LgozzLYBkVE9oyFBRXLWu1QKpUKz/fuhed797LK3YTjx48jNTUVbm5u6NKli8Wfn4hKh3csLIOFBRHZMxYWVCxTYbF//35kZ2eLnKbkTHcrevTowXYBIjsQGhoKhUKBq1evIjU1Vew4kpSdnY34+HgALCyIyD6xsKBiNW3aFHXq1EF+fj727t1rsec1Go3QarXQarUwGo0We17Tc5vmK9gGRWQf3Nzc4O/vD4DtUGV17NgxLsYjIrvGwoKKJQiCVdqhCgoKMGfufMyZO9/iC/gSEhJw/vx5aDQa85G5RCQ+e56zEAQB1X19UN3Xx2533pj+vfFuBRHZKxYW9ERFCwtL312wBtPdiq5du8LDw0PkNERkYs9zFmq1Gq+9OgKvvToCarVa7DiPxPkKIrJ3LCzoiZ599lm4uLjg2rVrOH36tNhxnsg0X8GleET2xXTHIjY21q6X0NkjLsYjIilgYUFP5OLigueeew6A/S/L++eff3DixAkoFAr06dNH7DhEVETjxo1RsWJF5OXl4dSpU2LHkRTTYjyNRoOgoCCx4xARPRILCyoRqWzh3rx5MwDg6aefhre3t7hhiOghgiDY7ZxFQUEBvv1+Mb79frHF574soehiPCcnJ5HTEBE9GgsLKhFTYXH48GHcuXNH5DSPx9OgiOybqY3H3goLo9GIjIxMZGRk2uUsGdugiEgKWFhQidSuXRstWrSAwWDArl27xI7zSDdv3sShQ4cAAH379hU3DBE9kumOhT0OcNszFhZEJAUsLKjELNkOpVAo0NSvCZr6NYFCYZlvw61bt8JoNCIkJAS1a9e2yHMSkWW1bt0agiAgJSUFN2/eFDuOJHAxHhFJBQsLKjFTYbFz507o9fpyPZdKpcKAF1/AgBdfgEqlskQ8tkERSYCnpyeaNWsGwP7aoeyVaTFezZo1UbNmTbHjEBE9FgsLKrG2bdvCy8sLd+/etbsXBBkZGdizZw8AHjNLZO/sdYDbXpnaoEz/3oiI7BULCyoxlUqFsLAwAEBkZKTIaR72xx9/oKCgAE2bNoWfn5/YcYioGPa8KM8ecb6CiKSChQWViqXmLLRaLT75Yg4++WKORRZlcSkekXSY3nk/duwYdDqdyGkKCYIA7ypV4F2lCgRBEDuOGRfjEZGUWKa5nRxGeHg4BEHAqVOncO3aNbvo983NzTXfQeF8BZH9a9q0KTw8PJCZmYnTp0+jVatWYkeCWq3G+DGviR3jPy5evIjbt29zMR4RSQLvWFCpeHt7o02bNgDspx0qOjoaOTk5qF27Nn/xEkmAQqEw/xzhnEXxuBiPiKSEhQWVmr1t4TadBvXCCy/YVQsDET0e5yxKhm1QRCQlLCyo1EyFxe7du5GXlydqloKCAmzduhUA5yuIpMTeToYqKCjAkojlWBKxHAUFBWLHMTP9+2FhQURSwMKCSi0wMBDVq1dHTk4O/vzzT1GzHDhwAPfu3YO3tzc6dOggahYiKjlTK1RycjJu374tcprCIelbt2/j1u3bMBqNYscBwMV4RCQ9LCyo1ARBQI8ePQCI3w5laoPq06cPlEqlqFmIqOQqVaqEJk2aAABiYmJETmOfuBiPiKSGhQWVSdE5i7K8u6dQKNCwQQM0bNAACkXZvg0NBgM2b94MgKdBEUkR5yyKx/kKIpIaFhZUJl26dIFGo8GlS5eQlJRU6serVCq8/NIAvPzSAKhUZTv1+OjRo7h+/Trc3d3RuXPnMj0HEYnH3uYs7A0LCyKSGhYWVCZubm545plnAIjXDmVaitezZ08ew0gkQaYXzDExMdDr9SKnsS9cjEdEUsTCgsrMNGchxj4Lo9Fonq9gGxSRNDVv3hxubm7IysrCuXPnxI5jV4ouxrOHBYJERCXBwoLKzDRnceDAAWRmZpbqsVqtFrO/nofZX8+DVqst9bXPnj2LCxcuwMnJCd27dy/144lIfEqlEq1btwYgfjuUIAjw9PSAp6eHXezDMd2tCA4O5h1ZIpIMFhZUZo0aNUKjRo2g0+kQHR1d6scXFBSU+bx4092Kbt26wc3NrUzPQUTiM81ZiD3ArVarMWnC65g04XWo1WpRswCcryAiaWJhQeUi1hZu03wFl+IRSRsHuB+NhQURSRELCyoXU2ERGRkJg8Fgk2teunQJcXFxUCqV6N27t02uSUTWYSosEhIScO/ePZHT2IesrCzzYjzTvx8iIilgYUHl0rFjR7i5ueHmzZs4ceKETa5pulvRsWNHVKlSxSbXJCLr8Pb2RoMGDQAUHiEtloKCAixfsRLLV6wsc4umpRw7dgwGg4GL8YhIclhYULloNBp07doVgO3aoUyFBU+DIpIHe1iUZzQacf1GGq7fSCvT0k9LYhsUEUkVCwsqN1vOWaSlpeHvv/8GAPTt29fq1yMi6+OcxcNYWBCRVJVt5TFREaZ9FseOHcPNmzdRrVq1Jz5GEATUqV3L/NcltWXLFhiNRrRu3ZotAkQyYXoBfeTIERgMBigUjvuel9FoNBdYLCyISGoc96c3WYyvry+CgoIAADt27CjRY9RqNYYPHYLhQ4eU6mhHLsUjkh9/f3+4uLggIyMDSUlJYscRFRfjEZGUsbAgi7BFO9T9+/exd+9eADxmlkhO1Go1QkNDAYi/z0JsXIxHRFLGwoIswtQOFRUVZbUTVbZv3w6dTofmzZujcePGVrkGEYmDcxaFOF9BRFLGwoIsIjQ0FFWqVEFmZib++uuvJ369VqvF3G++xdxvvoVWqy3RNbgUj0i+7OFkqAouLqjg4iLa9QEWFkQkbSwsyCKUSiW6d+8OoOTtUDm5ucjJzS3Z1+bkmOc3OF9BJD+mOxZnz55FZmamza+v0Wjw9uRJeHvyJGg0GptfH3h4MR4LCyKSIhYWZDHWnLPYtWsXcnNzUadOHQQGBlr8+YlIXD4+Pqhbty6MRqOoi/LEZFqMV6tWLdSoUUPsOEREpcbCgiwmLCwMSqUSCQkJSElJsehzF12KV5rjaYlIOhx9zoJtUEQkdSwsyGK8vLzQvn17AJa9a1FQUIBt27YB4HwFkZwV3WdhawUFBVi1eg1WrV5jtQMonoSFBRFJHQsLsihrtEPt378f9+/fR9WqVdGuXTuLPS8R2ZeidyyMRqNNr200GnH5ylVcvnLV5tc2XZ+L8YhI6lhYkEWZCot9+/YhOzvbIs9pWorXt29fKJVKizwnEdmfwMBAODk54c6dO7hw4YLYcWzqwoULuH37NpycnLgYj4gki4UFWVSzZs1Qp04d5Ofnm5fZPYogCKju64Pqvj7FzkwYDAZs3rwZANugiOROo9EgODgYgOMtyiu6GE+sU6mIiMqLhQVZlCAIJWqHUqvVeO3VEXjt1RFQq9WP/bojR44gLS0NHh4eeO655yyel4jsi6MOcJsKC9M/PxGRFLGwIIsrWliUt1fZdBpUr169+C4ekQOwh0V5YuDgNhHJAQsLsrhnn30Wzs7OuHbtGs6cOVPm5zEajeb5Ci7FI3IMpnfs4+PjLTanZe8ePHiA06dPA2BhQUTSxsKCLM7FxcXctvS4dqiCggJ8+/1ifPv94sce7Xj69GlcunQJzs7OCA8Pt1peIrIfNWvWRM2aNWEwGHDs2DGbXlutVhfbmmktXIxHRHLBwoKs4klzFkajERkZmcjIyHxsu5TpbkVYWBhcXV2tE5SI7I4YcxYajQYzpk3FjGlTbd52yTYoIpILFhZkFabC4u+//8bdu3fL9BymwoKnQRE5Fkebs+D+CiKSCxYWZBV16tRB8+bNYTAYsGvXrlI//sKFCzh9+jSUSiV69+5thYREZK/EXJRna1yMR0RywsKCrKY8W7hNp0E9++yzqFSpkkVzEZF9CwoKglqtRnp6OlJSUmxyTZ1Oh7W/bcDa3zZAp9PZ5JoAF+MRkbywsCCrMRUWO3fuhF6vL9VjTYUF26CIHI+zs7P5Rbat5iwMBgMuXLyICxcvwmAw2OSaABfjEZG8sLAgq2nXrh28vLxw584dxMTElPhx169fN/+y7du3r5XSEZE9c5Q5Cw5uE5GcsLAgq1GpVAgLCwPw33YoQRDgXaUKvKtUgSAID/3Zli1bABT2WVevXt02YYnIrjjKBm4WFkQkJywsyKoeN2ehVqsxfsxrGD/mtf+cG8+leERkeqEdFxeH3NxckdNYBxfjEZHcsLAgqwoPD4cgCDh16hSuXbv2xK+/e/cu9u/fD4DzFUSOrHbt2vDx8YFOp0NsbKzYcazCtBivdu3avDtLRLLAwoKsytvbG23atAEAREZGPvHrt2/fDp1OB39/fzRs2NDa8YjITgmCYH4XX67tUGyDIiK5YWFBVtejRw8ADxcWBQUFWBKxHEsilqOgoMD8eZ4GRUQmpjkLuQ5ws7AgIrlRiR2A5K9nz56YOXMmdu/ejfz8fDg5OcFoNOLW7dsAYF6AlZ2djZ07dwLgfAURPVxYGI3G/xz0YEkajQYz35tutef/t6KL8Uz/nEREUsc7FmR1rVq1gq+vL7Kzs/Hnn38+9ut27tyJvLw81KtXDwEBATZMSET2KCQkBEqlEjdu3MDVq1fFjmNRycnJuHPnDhfjEZGssLAgqxMEwdwOVdwWblMb1IsvvmjVdyaJSBoqVKiAli1bApDfnAUX4xGRHLGwIJsoeuysqfWpKK1Wi+3btwNgGxQR/R9bLcrT6XTY8L9N2PC/TdDpdFa9FsD5CiKSJxYWZBNdunSBWq3GxYsXcf78+f/8+b59+5CRkQEfHx/2GxORma0W5RkMBiQkJiEhMQkGg8Gq1wJYWBCRPLGwIJtwd3fHM888A+DR7VCmpXh9+/aFQsFvSyIqZHrhfeLECeTn54ucxjIePHiAM2fOAGBhQUTywldwZDNF26EEQYCnpwc8PT1gMBiwZcsWADxmlogeVr9+fVSpUgVarRYnT54UO45FcDEeEcmV1QqLzz//HO3atUOFChXg5eVVoseMGDECgiA89BEeHm6tiGRjpsLiwIEDyM3NxaQJr2PShNdx/Phx3Lx5E15eXujUqZO4IYnIrhRdlCeXfRZsgyIiubJaYaHVajFgwACMHz++VI8LDw/HjRs3zB/r1q2zUkKytUaNGqFRo0bQ6XSIjo42f950GlSvXr14OgoR/Yet5ixshYUFEcmV1QqLjz/+GJMnT4a/v3+pHufk5AQfHx/zR8WKFa2UkMRQtB0KKFwSZZqv4GlQRPQocrpjUXQxHgsLIpIbu5ux2L9/P6pWrYomTZpg/PjxuHPnTrFfn5+fj8zMzIc+yH6Z9llERUXhh59WYuHiJbh27RpcXFwQFhYmcjoiskehoaFQKBS4evUqUlNTxY5TLqbFeM7OzggMDBQ7DhGRRdlVYREeHo6ff/4Ze/bswZdffok///wT3bt3h16vf+xjZs+eDU9PT/NHrVq1bJiYSqtjx45wdXVFeno6bqSlISMj0zxLU6FCBbHjEZEdcnNzM9/9tlY7lFqtxvS3p2D621OgVqutcg2Ai/GISN5KVVhMnz79P8PV//5ITEwsc5hBgwahT58+8Pf3R9++fbF9+3YcO3YM+/fvf+xjZsyYgYyMDPPH1atXy3x9sj4nJyd07dr1P59nGxQRFcfacxaCIECj0UCj0UAQBKtcA+B8BRHJm6o0Xzx16lSMGDGi2K+pX79+efL857mqVKmCCxcuoHPnzo/8GicnJzg5OVnsmmR9PXv2fGiXhUqlMs9eEBE9Stu2bbFs2TLJD3CzsCAiOStVYeHt7Q1vb29rZfmPa9eu4c6dO/D19bXZNcn6THMWJs888wyH9ImoWKY7FsePH4dWq7V4G5FOp8MfO3YCAHp2D4dKVapfjyXCxXhEJHdWm7G4cuUK4uLicOXKFej1esTFxSEuLg5ZWVnmr/Hz8zMfNZqVlYVp06bhyJEj+Oeff7Bnzx48//zzaNiwIYd6ZaZ69epo2bKl+e/79OkjYhoikoJGjRqhYsWKyMvLQ3x8vMWf32Aw4NTpMzh1+gwMBoPFnx8Ajh49CoPBgDp16vANMyKSJasVFjNnzkSrVq0wa9YsZGVloVWrVmjVqhWOHz9u/pqkpCRkZGQAAJRKJeLj49GnTx80btwYo0aNQnBwMA4ePMhWJxkquviQbVBE9CQKhcJ810Kqx86acpv+OYiI5Mby93r/v5UrV2LlypXFfo3RaDT/tYuLC3bt2mWtOGRnXnrpJQQHByMsLAwz35sudhwikoCnnnoKO3bswJEjRzBx4kSx45Qa5yuISO6sVlgQFadFixa4fPkyPD09xY5CRBIh5UV5XIxHRI7ArvZYkGPx8fGBi4uL2DGISCJat24NQRCQkpKCmzdvih2nVM6fP4+7d+9yMR4RyRoLCyIikgRPT080a9YMgPX2WViLKS8X4xGRnLGwICIiybD2ojxr4XwFETkCzlgQEZFktG3bFj/++KPF5yzUajWmTnrT/NeWxsKCiBwBCwsiIpIM0x2LY8eOQafTWWyRnSAIcHWtYJHn+jcuxiMiR8FWKCIikoymTZvCw8MDOTk5OH36tNhxSoSL8YjIUbCwICIiyVAoFGjTpg0Ay85Z6HQ6RO6MQuTOKOh0Oos9L8A2KCJyHCwsiIhIUqyxz8JgMOD4iRM4fuIEDAaDxZ4XYGFBRI6DhQUREUmKlE6G4mI8InIkLCyIiEhSTK1QycnJuH37tshpild0MV7Lli3FjkNEZFUsLIiISFIqVaqEJk2aAABiYmJETlM8UxtUSEgIF+MRkeyxsCAiIskxtRXZezsU5yuIyJGwsCAiIskxzVlYelGepZnymfISEckZCwsiIpIc0wv1o0ePQq/Xi5zm0TIzM7kYj4gcCjdvExGR5LRo0QKurq548OABzp07B39//3I9n1qtxpuvjzP/tSUcPXoURqORi/GIyGHwjgUREUmOUqlE69atAVhmzkIQBHh5ecHLywuCIJT7+QDOVxCR42FhQUREkmSNRXmWxP0VRORo2ApFRESSZMlFeXq9Hnv3/wkAeK7TM1AqleV6Pi7GIyJHxDsWREQkSabCIiEhAffu3SvXc+n1ehyOOYrDMZYZBudiPCJyRCwsiIhIkry9vdGgQQMAhYPS9oSL8YjIEbGwICIiybLXOQsObhORI2JhQUREkmXJOQtLYmFBRI6IhQUREUmW6YX7kSNHYDAYRE5TiIvxiMhRsbAgIiLJ8vf3h4uLCzIyMpCUlCR2HAD/txivbt268PHxETsOEZHNsLAgIiLJUqvVCA0NBWA/cxZsgyIiR8XCgoiIJM0ScxZqtRrjRo/CuNGjoFary5WHhQUROSouyCMiIkkrOmdRVoIgoKq3d7mzGAwGLsYjIofFOxZERCRpbdq0AQCcOXMGmZmZomY5f/487t27x8V4ROSQWFgQEZGk+fr6ok6dOjAajTh27FiZnkOv12P/gYPYf+BguTZvF12MV96WKiIiqWFhQUREklfeRXl6vR4HDv2FA4f+skhhwTYoInJELCyIiEjy7GVRHgsLInJkLCyIiEjyig5wG41GUTJkZmbi7NmzD+UhInIkLCyIiEjyAgMD4eTkhDt37uDChQuiZOBiPCJydCwsiIhI8jQaDYKDgwGItyiPbVBE5OhYWBARkSyIPWfBwoKIHB0LCyIikoXyngxVHlyMR0TEzdtERCQTpjsW8fHxyM7Ohqura4kfq1KpMGrEcPNfl5ZpMZ6LiwsX4xGRw+IdCyIikoWaNWuiZs2aMBgMpV6Up1AoUKO6L2pU94VCUfpfjVyMR0TEwoKIiGRErDkLzlcQEbGwICIiGSnrnIVer8ffR2Lw95GYMm3eZmFBRMQZCyIikpGidyyMRiMEQSjR4/R6PXbv3QcACAlqBaVSWeJrZmRkcDEeERF4x4KIiGQkKCgIarUa6enpSElJsck1TYvx6tWrh2rVqtnkmkRE9oiFBRERyYazszNatWoFwHZzFmyDIiIqxMKCiIhkxdYD3CwsiIgKsbAgIiJZseWivKKL8UwFDRGRo2JhQUREsmJ6gR8XF4fc3FyrXispKQn379/nYjwiIrCwICIimalTpw58fHyg0+kQGxtr1WuZ7lZwMR4REQsLIiKSGUEQSj1noVKpMGzIYAwbMhgqVclPYud8BRHR/2FhQUREslPaOQuFQoG6deqgbp06UChK/quRhQUR0f9hYUFERLJjumNx+PBhGI1Gq1yDi/GIiB7GwoKIiGQnJCQESqUSN27cwNWrV5/49Xq9HseOx+LY8Vjo9foSXYOL8YiIHsbCgoiIZKdChQrmU5pKMmeh1+uxIyoaO6KiS1xYsA2KiOhhLCyIiEiWrL3PgoUFEdHDWFgQEZEsWXMDd9HFeCwsiIgKsbAgIiJZMr3gP3HiBPLz8y363EUX4wUEBFj0uYmIpIqFBRERyVL9+vVRpUoVaLVanDx50qLPbWqDCg0N5WI8IqL/j4UFERHJkiAIVpuz4HwFEdF/sbAgIiLZstacBQsLIqL/UokdgIiIyFpML/yfVFioVCoMGtjf/NfFycjIwLlz5wD8X+FCREQsLIiISMZCQkKgUChw5coVXL9+HdWrV3/k1ykUCjRu2LBEzxkTE8PFeEREj8BWKCIiki13d3e0aNECgOXaodgGRUT0aCwsiIhI1koywK3X6xEXH4+4+Pgnbt7m/goiokdjYUFERLJWkgFuvV6PrdsjsXV7ZLGFBRfjERE9HgsLIiKSNVMBcPz4cWi12nI9FxfjERE9HgsLIiKStUaNGqFixYrIy8tDfHx8uZ6Li/GIiB6PhQUREcmaQqEwt0OVd1EeB7eJiB6PhQUREcmepRblsbAgIno8FhZERCR7JTkZ6kmKLsZjYUFE9F8sLIiISPZat24NQRCQkpKCmzdvluk5TIvx6tevj6pVq1o4IRGR9LGwICIi2fP09ESzZs0APLodSqVSof8LfdH/hb5QqVSPfA62QRERFc9qhcU///yDUaNGoV69enBxcUGDBg0wa9asJx71l5eXhwkTJqBy5cpwc3NDv379yvzuEhERkUlxcxYKhQLNmvqhWVM/KBSP/tXIwoKIqHhWKywSExNhMBiwbNkynD17Ft988w2WLl2K9957r9jHTZ48Gdu2bcOGDRvw559/4vr163jxxRetFZOIiBxEeeYsuBiPiOjJBKPRaLTVxb7++mssWbIEly5deuSfZ2RkwNvbG2vXrkX//v0BFBYoTZs2xeHDh83vNhUnMzMTnp6eyMjIgIeHh0XzExGRdJ09exYtWrRAhQoVkJGR8VDLk8FgQGLSeQCAX5PG/7lrce7cOTRv3vyRjyUikrPSvLa26YxFRkYGKlWq9Ng/j42NRUFBAbp06WL+nJ+fH2rXrl3us8eJiMixNW3aFB4eHsjJycHp06cf+jOdToeNmzZj46bN0Ol0/3ls0cV4LCqIiB7NZoXFhQsX8N1332Hs2LGP/Zq0tDRoNBp4eXk99Plq1aohLS3tkY/Jz89HZmbmQx9ERET/plAo0KZNGwCl32fB+QoioicrdWExffp0CIJQ7EdiYuJDj0lNTUV4eDgGDBiA0aNHWyw8AMyePRuenp7mj1q1aln0+YmISD7KuijPVFiUpCWXiMhRlfp+7tSpUzFixIhiv6Z+/frmv75+/TqeffZZtGvXDhEREcU+zsfHB1qtFvfv33/orsXNmzfh4+PzyMfMmDEDU6ZMMf99ZmYmiwsiInqksgxw379/n4vxiIhKoNSFhbe3N7y9vUv0tampqXj22WcRHByMFStWPPYIP5Pg4GCo1Wrs2bMH/fr1AwAkJSXhypUrj/1h7uTkBCcnp9L9QxARkUMytUIlJyfjzp07qFy58hMfc/ToUQDgYjwioiew2oxFamoqOnXqhNq1a2Pu3Lm4desW0tLSHpqVSE1NhZ+fn/mHtqenJ0aNGoUpU6Zg3759iI2Nxauvvoq2bdvy9jMREZVbpUqV0KRJEwAlb4fifAURUclY7WiL6OhoXLhwARcuXEDNmjUf+jPTCbcFBQVISkpCTk6O+c+++eYbKBQK9OvXD/n5+QgLC8PixYutFZOIiBzMU089haSkJBw5cgQ9e/Z84tezsCAiKhmb7rGwBe6xICKi4ixbtgzjxo1D586dsXv3bgCAXq/H6bNnAQD+zZtDqVQCKNxvUalSJWRkZCA2NhZBQUGi5SYiEkNpXlvzMG4iInIoptbao0ePQq/XQ6lUQqlUIjAg4D9fm5iYiIyMDFSoUAEBj/hzIiL6PzZdkEdERCS2Fi1awNXVFQ8ePDCf9vQ4XIxHRFRyLCyIiMihKJVKtG7dGsD/DXAbDAacv3AB5y9cgMFgMH8t5yuIiEqOhQURETmcf++z0Ol0+HX9Rvy6fiN0Op3561hYEBGVHAsLIiJyOCXZwF10MR6PPCciejIWFkRE5HBMhUJCQgLu3bv3yK+JiYkBADRo0ICL8YiISoCFBRERORxvb280aNAAwP9t1v43tkEREZUOCwsiInJI/56z+DcWFkREpcPCgoiIHFJxcxYGg8HcCsXCgoioZFhYEBGRQzIVFjExMQ8dMQsUzl6YFuP5+/uLEY+ISHK47YeIiBxSQEAAXFxccP/+fVy8eBHdu3UFULjngovxiIhKj3csiIjIIanVaoSEhAAoHOAODQlGaEgwlEqluT2KbVBERCXHwoKIiBzW4wa4ObhNRFR6vL9LREQOyzzAHRODfy5fBgB4uLtzMR4RURmwsCAiIodlKhySEhPx85p1AICQwAAAXIxHRFRabIUiIiKH5evrizp16sBoNJo/Z1qYxzYoIqLSYWFBREQO7d8FBPdXEBGVDQsLIiJyaP+eozh2/DgAFhZERKXFwoKIiBzavwuIzIwMuLq6cjEeEVEpsbAgIiKHFhgYCCcnp4c+x8V4RESlx8KCiIgcmkajQatWrR76HNugiIhKj2/HEBGRwwsNDUXUjkgAgMFgYGFBRFQGLCyIiMjhtW3bFvPnzzf/PRfjERGVHluhiIjI4RUtJBo2bAhvb28R0xARSRPvWBARkcOrXr06AlsFIT09nW1QRERlxDsWRETk8BQKBQJbBuB66jV06dJF7DhERJIkGI1Go9ghLCkzMxOenp7IyMiAh4eH2HGIiEgi7t27h7///hs9evSAIAhixyEisguleW3NVigiIiIAFStWRM+ePcWOQUQkWWyFIiIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjcWFkREREREVG4sLIiIiIiIqNxYWBARERERUbmxsCAiIiIionJjYUFEREREROXGwoKIiIiIiMqNhQUREREREZUbCwsiIiIiIio3FhZERERERFRuLCyIiIiIiKjcWFgQEREREVG5sbAgIiIiIqJyY2FBRERERETlxsKCiIiIiIjKjYUFERERERGVGwsLIiIiIiIqNxYWRERERERUbiwsiIiIiIio3FhYEBERERFRubGwICIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjeV2AEszWg0AgAyMzNFTkJEREREJG2m19Sm19jFkV1h8eDBAwBArVq1RE5CRERERCQPDx48gKenZ7FfIxhLUn5IiMFgwPXr1+Hu7g5BEETJkJmZiVq1auHq1avw8PAQJQPJA7+XyFL4vUSWwu8lshR+L0mD0WjEgwcPUL16dSgUxU9RyO6OhUKhQM2aNcWOAQDw8PDg/yhkEfxeIkvh9xJZCr+XyFL4vWT/nnSnwoTD20REREREVG4sLIiIiIiIqNxYWFiBk5MTZs2aBScnJ7GjkMTxe4kshd9LZCn8XiJL4feS/MhueJuIiIiIiGyPdyyIiIiIiKjcWFgQEREREVG5sbAgIiIiIqJyY2FBRERERETlxsLCCr7//nvUrVsXzs7OaNOmDY4ePSp2JJKY2bNnIzQ0FO7u7qhatSr69u2LpKQksWORxM2ZMweCIOCtt94SOwpJUGpqKoYOHYrKlSvDxcUF/v7+OH78uNixSGL0ej0+/PBD1KtXDy4uLmjQoAE+/fRT8CwheWBhYWG//fYbpkyZglmzZuHEiRNo2bIlwsLCkJ6eLnY0kpA///wTEyZMwJEjRxAdHY2CggJ069YN2dnZYkcjiTp27BiWLVuGgIAAsaOQBN27dw/t27eHWq3Gjh07cO7cOcybNw8VK1YUOxpJzJdffoklS5Zg0aJFSEhIwJdffomvvvoK3333ndjRyAJ43KyFtWnTBqGhoVi0aBEAwGAwoFatWpg4cSKmT58ucjqSqlu3bqFq1ar4888/0bFjR7HjkMRkZWUhKCgIixcvxmeffYbAwEAsWLBA7FgkIdOnT8dff/2FgwcPih2FJK5Xr16oVq0afvzxR/Pn+vXrBxcXF6xevVrEZGQJvGNhQVqtFrGxsejSpYv5cwqFAl26dMHhw4dFTEZSl5GRAQCoVKmSyElIiiZMmICePXs+9LOJqDS2bt2KkJAQDBgwAFWrVkWrVq3www8/iB2LJKhdu3bYs2cPzp8/DwA4deoUDh06hO7du4ucjCxBJXYAObl9+zb0ej2qVav20OerVauGxMREkVKR1BkMBrz11lto3749WrRoIXYckphff/0VJ06cwLFjx8SOQhJ26dIlLFmyBFOmTMF7772HY8eO4c0334RGo8Hw4cPFjkcSMn36dGRmZsLPzw9KpRJ6vR6ff/45hgwZInY0sgAWFkR2bsKECThz5gwOHTokdhSSmKtXr2LSpEmIjo6Gs7Oz2HFIwgwGA0JCQvDFF18AAFq1aoUzZ85g6dKlLCyoVNavX481a9Zg7dq1aN68OeLi4vDWW2+hevXq/F6SARYWFlSlShUolUrcvHnzoc/fvHkTPj4+IqUiKXvjjTewfft2HDhwADVr1hQ7DklMbGws0tPTERQUZP6cXq/HgQMHsGjRIuTn50OpVIqYkKTC19cXzZo1e+hzTZs2xe+//y5SIpKqadOmYfr06Rg0aBAAwN/fH5cvX8bs2bNZWMgAZywsSKPRIDg4GHv27DF/zmAwYM+ePWjbtq2IyUhqjEYj3njjDWzatAl79+5FvXr1xI5EEtS5c2ecPn0acXFx5o+QkBAMGTIEcXFxLCqoxNq3b/+fI6/Pnz+POnXqiJSIpConJwcKxcMvP5VKJQwGg0iJyJJ4x8LCpkyZguHDhyMkJAStW7fGggULkJ2djVdffVXsaCQhEyZMwNq1a7Flyxa4u7sjLS0NAODp6QkXFxeR05FUuLu7/2cux9XVFZUrV+a8DpXK5MmT0a5dO3zxxRcYOHAgjh49ioiICERERIgdjSSmd+/e+Pzzz1G7dm00b94cJ0+exPz58zFy5Eixo5EF8LhZK1i0aBG+/vprpKWlITAwEAsXLkSbNm3EjkUSIgjCIz+/YsUKjBgxwrZhSFY6derE42apTLZv344ZM2YgOTkZ9erVw5QpUzB69GixY5HEPHjwAB9++CE2bdqE9PR0VK9eHYMHD8bMmTOh0WjEjkflxMKCiIiIiIjKjTMWRERERERUbiwsiIiIiIio3FhYEBERERFRubGwICIiIiKicmNhQURERERE5cbCgoiIiIiIyo2FBRERERERlRsLCyIiIiIiKjcWFkREREREVG4sLIiIiIiIqNxYWBARERERUbmxsCAiIiIionL7f3n2X9qhXcX8AAAAAElFTkSuQmCC" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 13 } ], "metadata": { diff --git a/tsml_eval/publications/y2023/distance_based_clustering/distance_based_clustering.ipynb b/tsml_eval/publications/y2023/distance_based_clustering/distance_based_clustering.ipynb index 7a76df55..fd8e71af 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/distance_based_clustering.ipynb +++ b/tsml_eval/publications/y2023/distance_based_clustering/distance_based_clustering.ipynb @@ -1,6 +1,7 @@ { "cells": [ { + "metadata": {}, "cell_type": "markdown", "source": [ "# A Review and Evaluation of Elastic Distance Functions for Time Series Clustering\n", @@ -57,50 +58,63 @@ "Our clusterers and distances are available in the `aeon` Python package.\n", "\n", "The clusterers used in our experiments extend the `scikit-learn` interface and can also be used like their estimators:\n" - ], - "metadata": { - "collapsed": false - } + ] }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-12-05T15:58:02.528458Z", + "start_time": "2024-12-05T15:58:02.526123Z" + } + }, "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import warnings\n", "\n", "warnings.filterwarnings(\"ignore\")\n", "\n", + "from aeon.benchmarking.metrics.clustering import clustering_accuracy_score\n", "from aeon.clustering import TimeSeriesKMeans\n", - "from aeon.performance_metrics.clustering import clustering_accuracy_score\n", "from tsml.datasets import load_minimal_chinatown\n", "\n", "from tsml_eval.publications.y2023.distance_based_clustering import (\n", " _set_distance_clusterer,\n", ")" ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-12T12:42:03.234796Z", - "start_time": "2023-10-12T12:42:02.003586Z" - } - } + "outputs": [], + "execution_count": 6 }, { + "metadata": {}, "cell_type": "markdown", "source": [ "Data can be loaded using whichever method is most convenient, but should be formatted as either a 3D numpy array of shape (n_samples, n_channels, n_timesteps) or a list of length (n_samples) containing 2D numpy arrays of shape (n_channels, n_timesteps).\n", "\n", "A function is available for loading from .ts files." - ], - "metadata": { - "collapsed": false - } + ] }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-12-05T15:58:02.535841Z", + "start_time": "2024-12-05T15:58:02.531463Z" + } + }, "cell_type": "code", - "execution_count": 2, + "source": [ + "# load example classification dataset\n", + "X_train, y_train = load_minimal_chinatown(\"TRAIN\")\n", + "X_test, y_test = load_minimal_chinatown(\"TEST\")\n", + "\n", + "# data can be loaded from .ts files using the following function\n", + "# from tsml.datasets import load_from_ts_file\n", + "# X, y = load_from_ts_file(\"data/data.ts\")\n", + "\n", + "print(type(X_train), type(y_train))\n", + "print(X_train.shape, y_train.shape)\n", + "print(X_test.shape, y_test.shape)\n", + "X_train[:5]" + ], "outputs": [ { "name": "stdout", @@ -113,126 +127,111 @@ }, { "data": { - "text/plain": "array([[[ 573., 375., 301., 212., 55., 34., 25., 33., 113.,\n 143., 303., 615., 1226., 1281., 1221., 1081., 866., 1096.,\n 1039., 975., 746., 581., 409., 182.]],\n\n [[ 394., 264., 140., 144., 104., 28., 28., 25., 70.,\n 153., 401., 649., 1216., 1399., 1249., 1240., 1109., 1137.,\n 1290., 1137., 791., 638., 597., 316.]],\n\n [[ 603., 348., 176., 177., 47., 30., 40., 42., 101.,\n 180., 401., 777., 1344., 1573., 1408., 1243., 1141., 1178.,\n 1256., 1114., 814., 635., 304., 168.]],\n\n [[ 428., 309., 199., 117., 82., 43., 24., 64., 152.,\n 183., 408., 797., 1288., 1491., 1523., 1460., 1365., 1520.,\n 1700., 1797., 1596., 1139., 910., 640.]],\n\n [[ 372., 310., 203., 133., 65., 39., 27., 36., 107.,\n 139., 329., 651., 990., 1027., 1041., 971., 1104., 844.,\n 1023., 1019., 862., 643., 591., 452.]]])" + "text/plain": [ + "array([[[ 573., 375., 301., 212., 55., 34., 25., 33., 113.,\n", + " 143., 303., 615., 1226., 1281., 1221., 1081., 866., 1096.,\n", + " 1039., 975., 746., 581., 409., 182.]],\n", + "\n", + " [[ 394., 264., 140., 144., 104., 28., 28., 25., 70.,\n", + " 153., 401., 649., 1216., 1399., 1249., 1240., 1109., 1137.,\n", + " 1290., 1137., 791., 638., 597., 316.]],\n", + "\n", + " [[ 603., 348., 176., 177., 47., 30., 40., 42., 101.,\n", + " 180., 401., 777., 1344., 1573., 1408., 1243., 1141., 1178.,\n", + " 1256., 1114., 814., 635., 304., 168.]],\n", + "\n", + " [[ 428., 309., 199., 117., 82., 43., 24., 64., 152.,\n", + " 183., 408., 797., 1288., 1491., 1523., 1460., 1365., 1520.,\n", + " 1700., 1797., 1596., 1139., 910., 640.]],\n", + "\n", + " [[ 372., 310., 203., 133., 65., 39., 27., 36., 107.,\n", + " 139., 329., 651., 990., 1027., 1041., 971., 1104., 844.,\n", + " 1023., 1019., 862., 643., 591., 452.]]])" + ] }, - "execution_count": 2, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "# load example classification dataset\n", - "X_train, y_train = load_minimal_chinatown(\"TRAIN\")\n", - "X_test, y_test = load_minimal_chinatown(\"TEST\")\n", - "\n", - "# data can be loaded from .ts files using the following function\n", - "# from tsml.datasets import load_from_ts_file\n", - "# X, y = load_from_ts_file(\"data/data.ts\")\n", - "\n", - "print(type(X_train), type(y_train))\n", - "print(X_train.shape, y_train.shape)\n", - "print(X_test.shape, y_test.shape)\n", - "X_train[:5]" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-12T12:42:04.719616Z", - "start_time": "2023-10-12T12:42:04.707702Z" - } - } + "execution_count": 7 }, { + "metadata": {}, "cell_type": "markdown", - "source": [ - "Clusterers can be built using the `fit` method and predictions can be made using `predict`." - ], - "metadata": { - "collapsed": false - } + "source": "Clusterers can be built using the `fit` method and predictions can be made using `predict`." }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-12-05T15:58:02.638056Z", + "start_time": "2024-12-05T15:58:02.542953Z" + } + }, "cell_type": "code", - "execution_count": 3, + "source": [ + "# build a TSF classifier and make predictions\n", + "km = TimeSeriesKMeans(distance=\"dtw\", n_clusters=2, random_state=0)\n", + "km.fit(X_train)\n", + "km.predict(X_test)" + ], "outputs": [ { "data": { - "text/plain": "array([1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0])" + "text/plain": [ + "array([0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1],\n", + " dtype=int64)" + ] }, - "execution_count": 3, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "# build a TSF classifier and make predictions\n", - "km = TimeSeriesKMeans(distance=\"dtw\", n_clusters=2, random_state=0)\n", - "km.fit(X_train)\n", - "km.predict(X_test)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-12T12:42:08.110165Z", - "start_time": "2023-10-12T12:42:07.081446Z" - } - } + "execution_count": 8 }, { + "metadata": {}, "cell_type": "markdown", - "source": [ - "The `labels_` attribute can be used to obtain the initial cluster labels for each sample instead of using `predict` on the initial data." - ], - "metadata": { - "collapsed": false - } + "source": "The `labels_` attribute can be used to obtain the initial cluster labels for each sample instead of using `predict` on the initial data." }, { + "metadata": { + "ExecuteTime": { + "end_time": "2024-12-05T15:58:02.648734Z", + "start_time": "2024-12-05T15:58:02.645606Z" + } + }, "cell_type": "code", - "execution_count": 4, + "source": "km.labels_", "outputs": [ { "data": { - "text/plain": "array([0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0])" + "text/plain": [ + "array([1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n", + " dtype=int64)" + ] }, - "execution_count": 4, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "km.labels_" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-12T12:42:10.391883Z", - "start_time": "2023-10-12T12:42:10.385442Z" - } - } + "execution_count": 9 }, { + "metadata": {}, "cell_type": "markdown", - "source": [ - "Here we run some of the clusterers from the publication and find the clustering accuracy for them on our example dataset." - ], - "metadata": { - "collapsed": false - } + "source": "Here we run some of the clusterers from the publication and find the clustering accuracy for them on our example dataset." }, { - "cell_type": "code", - "execution_count": 5, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0.35, 0.55, 0.3]\n", - "[0.55, 0.6, 0.5]\n" - ] + "metadata": { + "ExecuteTime": { + "end_time": "2024-12-05T15:58:02.937159Z", + "start_time": "2024-12-05T15:58:02.728226Z" } - ], + }, + "cell_type": "code", "source": [ "clusterers = [\n", " \"KMeans-dtw\",\n", @@ -256,20 +255,17 @@ "print(cl_acc_train)\n", "print(cl_acc_test)" ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2023-10-12T12:42:15.013819Z", - "start_time": "2023-10-12T12:42:12.823181Z" + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.3, 0.4, 0.35]\n", + "[0.55, 0.6, 0.55]\n" + ] } - } - }, - { - "cell_type": "markdown", - "source": [], - "metadata": { - "collapsed": false - } + ], + "execution_count": 10 } ], "metadata": { diff --git a/tsml_eval/publications/y2023/distance_based_clustering/package_distance_timing.ipynb b/tsml_eval/publications/y2023/distance_based_clustering/package_distance_timing.ipynb index 5a476573..24113372 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/package_distance_timing.ipynb +++ b/tsml_eval/publications/y2023/distance_based_clustering/package_distance_timing.ipynb @@ -22,8 +22,6 @@ }, { "cell_type": "code", - "execution_count": 1, - "outputs": [], "source": [ "import time\n", "import warnings\n", @@ -31,7 +29,7 @@ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "from aeon.distances import dtw_distance as aeon_dtw\n", - "from aeon.distances.tests._utils import create_test_distance_numpy\n", + "from aeon.testing.data_generation import make_example_2d_numpy_series\n", "from dtw import dtw as dtw_python_dtw\n", "from sktime.dists_kernels import DtwDist as sktime_dtw\n", "from tslearn.metrics import dtw as tslearn_dtw\n", @@ -42,22 +40,17 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-12-05T15:40:15.057562Z", + "start_time": "2024-12-05T15:40:15.054330Z" } - } + }, + "outputs": [], + "execution_count": 27 }, { "cell_type": "code", - "execution_count": 2, - "outputs": [ - { - "data": { - "text/plain": "array([[ 0.88202617, 0.2000786 , 0.48936899, 1.1204466 , 0.933779 ,\n -0.48863894, 0.47504421, -0.0756786 , -0.05160943, 0.20529925],\n [ 0.07202179, 0.72713675, 0.38051886, 0.06083751, 0.22193162,\n 0.16683716, 0.74703954, -0.10257913, 0.15653385, -0.42704787],\n [-1.27649491, 0.3268093 , 0.4322181 , -0.37108251, 1.13487731,\n -0.72718284, 0.02287926, -0.09359193, 0.76638961, 0.73467938],\n [ 0.07747371, 0.18908126, -0.44389287, -0.99039823, -0.17395607,\n 0.07817448, 0.61514534, 0.60118992, -0.19366341, -0.15115138],\n [-0.52427648, -0.71000897, -0.8531351 , 0.9753877 , -0.25482609,\n -0.21903715, -0.62639768, 0.38874518, -0.80694892, -0.10637014],\n [-0.44773328, 0.19345125, -0.25540257, -0.59031609, -0.01409111,\n 0.21416594, 0.03325861, 0.15123595, -0.31716105, -0.18137058],\n [-0.33623022, -0.17977658, -0.40657314, -0.8631413 , 0.08871307,\n -0.20089047, -0.81509917, 0.23139113, -0.45364918, 0.0259727 ],\n [ 0.36454528, 0.06449146, 0.56970034, -0.61741291, 0.20117082,\n -0.34240505, -0.43539857, -0.28942483, -0.15577627, 0.02808267],\n [-0.58257492, 0.45041324, 0.23283122, -0.76812184, 0.7441261 ,\n 0.94794459, 0.58938979, -0.08996242, -0.53537631, 0.52722586],\n [-0.20158847, 0.61122254, 0.10413749, 0.48831952, 0.1781832 ,\n 0.35328658, 0.00525001, 0.89293525, 0.06345605, 0.20099468]])" - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "def timing_experiment(x, y, distance_callable, average=10, params=None):\n", " \"\"\"Time a distance experiment.\"\"\"\n", @@ -73,12 +66,11 @@ "\n", "\n", "# dummy run to compile numba etc\n", - "x = create_test_distance_numpy(1, 10, 10, random_state=0)[0]\n", + "x = make_example_2d_numpy_series(10, 10, random_state=0)\n", + "tslearn_x = x.swapaxes(0, 1)\n", "timing_experiment(x, x, aeon_dtw, average=1)\n", - "timing_experiment(\n", - " x[0], x[0], dtw_python_dtw, params={\"dist\": lambda x, y: (x - y) ** 2}, average=1\n", - ")\n", - "timing_experiment(x, x, tslearn_dtw, average=1)\n", + "timing_experiment(x, x, dtw_python_dtw, average=1)\n", + "timing_experiment(tslearn_x, tslearn_x, tslearn_dtw, average=1)\n", "timing_experiment(x, x, sktime_dtw(), average=1)\n", "x" ], @@ -87,7 +79,9 @@ "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [], + "execution_count": null }, { "cell_type": "markdown", @@ -103,8 +97,6 @@ }, { "cell_type": "code", - "execution_count": 3, - "outputs": [], "source": [ "aeon_timing = []\n", "dtw_python_timing = []\n", @@ -114,40 +106,28 @@ "\n", "for i in range(50, 550, 50):\n", " lengths.append(i)\n", - " distance_m_d = create_test_distance_numpy(2, 1, i, random_state=0)\n", - " x = distance_m_d[0][0]\n", - " y = distance_m_d[1][0]\n", + " x = make_example_2d_numpy_series(1, i, random_state=0)\n", + " y = make_example_2d_numpy_series(1, i, random_state=1)\n", + " tslearn_x = x.swapaxes(0, 1)\n", + " tslearn_y = y.swapaxes(0, 1)\n", "\n", " aeon_timing.append(timing_experiment(x, y, aeon_dtw))\n", - " dtw_python_timing.append(\n", - " timing_experiment(\n", - " x, y, dtw_python_dtw, params={\"dist\": lambda x, y: (x - y) ** 2}\n", - " )\n", - " )\n", - " tslearn_timing.append(timing_experiment(x, y, tslearn_dtw))\n", - " sktime_timing.append(\n", - " timing_experiment(x.reshape((1, 1, i)), y.reshape((1, 1, i)), sktime_dtw())\n", - " )" + " dtw_python_timing.append(timing_experiment(x, y, dtw_python_dtw))\n", + " tslearn_timing.append(timing_experiment(tslearn_x, tslearn_y, tslearn_dtw))\n", + " sktime_timing.append(timing_experiment(x, y, sktime_dtw()))" ], "metadata": { - "collapsed": false - } + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:42:10.497443Z", + "start_time": "2024-12-05T15:42:08.238128Z" + } + }, + "outputs": [], + "execution_count": 33 }, { "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0.0015954971313476562, 0.0, 0.00019965171813964843, 0.0001994609832763672, 0.00019311904907226562, 0.0003989219665527344, 0.0005983829498291016, 0.0007977962493896484, 0.0009973526000976562, 0.00139617919921875]\n", - "[0.0, 0.0, 0.0, 0.0001995563507080078, 0.00019979476928710938, 0.0005982398986816406, 0.001196908950805664, 0.0009979248046875, 0.0014006137847900391, 0.001595783233642578]\n", - "[0.004192161560058594, 0.01595149040222168, 0.03331141471862793, 0.05925397872924805, 0.09237089157104492, 0.1434168338775635, 0.18961143493652344, 0.24489173889160157, 0.37693352699279786, 0.38398103713989257]\n", - "[0.03690385818481445, 0.03172025680541992, 0.03410296440124512, 0.0402984619140625, 0.043180322647094725, 0.051262712478637694, 0.05744051933288574, 0.10990238189697266, 0.14532618522644042, 0.11210570335388184]\n" - ] - } - ], "source": [ "print(aeon_timing)\n", "print(tslearn_timing)\n", @@ -155,22 +135,28 @@ "print(sktime_timing)" ], "metadata": { - "collapsed": false - } - }, - { - "cell_type": "code", - "execution_count": 5, + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:42:13.457458Z", + "start_time": "2024-12-05T15:42:13.454067Z" + } + }, "outputs": [ { - "data": { - "text/plain": "
", - "image/png": 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" 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0.04659316539764404, 0.0422865629196167, 0.042216014862060544]\n" + ] } ], + "execution_count": 34 + }, + { + "cell_type": "code", "source": [ "plt.plot(aeon_timing, label=\"aeon\")\n", "plt.plot(tslearn_timing, label=\"tslearn\")\n", @@ -181,8 +167,25 @@ "plt.show()" ], "metadata": { - "collapsed": false - } + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:42:14.334206Z", + "start_time": "2024-12-05T15:42:14.280297Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 35 }, { "cell_type": "markdown", @@ -200,8 +203,6 @@ }, { "cell_type": "code", - "execution_count": 6, - "outputs": [], "source": [ "aeon_timing = []\n", "tslearn_timing = []\n", @@ -210,38 +211,30 @@ "\n", "for i in range(50, 550, 50):\n", " lengths.append(i)\n", - " distance_m_d = create_test_distance_numpy(2, i, i, random_state=0)\n", - " x = distance_m_d[0]\n", - " y = distance_m_d[1]\n", + " x = make_example_2d_numpy_series(i, i, random_state=0)\n", + " y = make_example_2d_numpy_series(i, i, random_state=1)\n", + " tslearn_x = x.swapaxes(0, 1)\n", + " tslearn_y = y.swapaxes(0, 1)\n", "\n", " aeon_timing.append(timing_experiment(x, y, aeon_dtw))\n", - " # tslearn expects the shape tp be (m, d) instead of (d, m)\n", - " tslearn_timing.append(timing_experiment(x.transpose(), y.transpose(), tslearn_dtw))\n", - " sktime_timing.append(\n", - " timing_experiment(x.reshape((1, i, i)), y.reshape((1, i, i)), sktime_dtw())\n", - " )" + " tslearn_timing.append(timing_experiment(tslearn_x, tslearn_y, tslearn_dtw))\n", + " sktime_timing.append(timing_experiment(x, y, sktime_dtw()))" ], "metadata": { "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-12-05T15:43:18.784846Z", + "start_time": "2024-12-05T15:43:12.156201Z" } - } + }, + "outputs": [], + "execution_count": 37 }, { "cell_type": "code", - "execution_count": 7, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[0.0001918315887451172, 0.000798177719116211, 0.00299220085144043, 0.007026290893554688, 0.014661788940429688, 0.0276275634765625, 0.04847054481506348, 0.0844810962677002, 0.09893527030944824, 0.16029653549194336]\n", - "[0.08747973442077636, 0.0005991458892822266, 0.0024773597717285155, 0.00638275146484375, 0.012765932083129882, 0.02264060974121094, 0.05485291481018066, 0.0596405029296875, 0.07699403762817383, 0.12229204177856445]\n", - "[0.00932307243347168, 0.010172033309936523, 0.013563966751098633, 0.02044649124145508, 0.03320589065551758, 0.05465383529663086, 0.08779778480529785, 0.21661005020141602, 0.27059736251831057, 0.333675479888916]\n" - ] - } - ], "source": [ "print(aeon_timing)\n", "print(tslearn_timing)\n", @@ -251,22 +244,27 @@ "collapsed": false, "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-12-05T15:43:20.252530Z", + "start_time": "2024-12-05T15:43:20.249298Z" } - } - }, - { - "cell_type": "code", - "execution_count": 8, + }, "outputs": [ { - "data": { - "text/plain": "
", - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "[4.062652587890625e-05, 0.00024292469024658203, 0.0008319139480590821, 0.0024091720581054686, 0.005573940277099609, 0.008205103874206542, 0.012984180450439453, 0.02905399799346924, 0.031551194190979, 0.0444720983505249]\n", + "[0.00014519691467285156, 0.00034160614013671874, 0.0011731863021850586, 0.0029234886169433594, 0.006116819381713867, 0.010189390182495118, 0.01739170551300049, 0.0314178466796875, 0.04181606769561767, 0.05908267498016358]\n", + "[0.007526421546936035, 0.006715965270996094, 0.007675814628601074, 0.011852359771728516, 0.014245891571044922, 0.02002761363983154, 0.028622007369995116, 0.06879444122314453, 0.08343648910522461, 0.10684428215026856]\n" + ] } ], + "execution_count": 38 + }, + { + "cell_type": "code", "source": [ "plt.plot(aeon_timing, label=\"aeon\")\n", "plt.plot(tslearn_timing, label=\"tslearn\")\n", @@ -276,8 +274,25 @@ "plt.show()" ], "metadata": { - "collapsed": false - } + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:43:21.012425Z", + "start_time": "2024-12-05T15:43:20.953306Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 39 }, { "cell_type": "markdown", @@ -294,7 +309,18 @@ }, { "cell_type": "code", - "execution_count": 9, + "source": [ + "# start 1000, end 10000, step 500, 30 average runs\n", + "csv = pd.read_csv(\"results/distance_notebook_timings.csv\", index_col=0)\n", + "print(csv)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:43:26.188212Z", + "start_time": "2024-12-05T15:43:26.175318Z" + } + }, "outputs": [ { "name": "stdout", @@ -317,28 +343,10 @@ ] } ], - "source": [ - "# start 1000, end 10000, step 500, 30 average runs\n", - "csv = pd.read_csv(\"results/distance_notebook_timings.csv\", index_col=0)\n", - "print(csv)" - ], - "metadata": { - "collapsed": false - } + "execution_count": 40 }, { "cell_type": "code", - "execution_count": 10, - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "plt.plot(csv.iloc[0], label=\"aeon\")\n", "plt.plot(csv.iloc[1], label=\"tslearn\")\n", @@ -349,8 +357,25 @@ "plt.show()" ], "metadata": { - "collapsed": false - } + "collapsed": false, + "ExecuteTime": { + "end_time": "2024-12-05T15:43:27.492136Z", + "start_time": "2024-12-05T15:43:27.428232Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 41 } ], "metadata": { diff --git a/tsml_eval/publications/y2023/distance_based_clustering/run_distance_experiments.py b/tsml_eval/publications/y2023/distance_based_clustering/run_distance_experiments.py index f68768ac..e497df23 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/run_distance_experiments.py +++ b/tsml_eval/publications/y2023/distance_based_clustering/run_distance_experiments.py @@ -1,10 +1,12 @@ """Experiment runner for distance clustering publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os import sys +from aeon.transformations.collection import Normalizer + os.environ["MKL_NUM_THREADS"] = "1" # must be done before numpy import!! os.environ["NUMEXPR_NUM_THREADS"] = "1" # must be done before numpy import!! os.environ["OMP_NUM_THREADS"] = "1" # must be done before numpy import!! @@ -72,19 +74,29 @@ def _run_experiment(args): # further default parameterisation for clusterers and distances. # feel free to change - kwargs["init_algorithm"] = "random" + kwargs["init"] = "random" kwargs["max_iter"] = 30 kwargs["n_init"] = 10 - distance_params = { - "window": 0.2 if distance == "dtw" or distance == "wdtw" else 1.0, - "epsilon": 0.05, - "g": 0.05, - "c": 1.0, - "nu": 0.05, - "lmbda": 1.0, - "strategy": "independent", - } + if distance == "dtw" or distance == "ddtw": + distance_params = {"window": 0.2} + elif distance == "wdtw" or distance == "wddtw": + distance_params = {"g": 0.05} + elif distance == "lcss" or distance == "edr": + distance_params = {"epsilon": 0.05} + elif distance == "erp": + distance_params = {"g": 0.05} + elif distance == "msm": + distance_params = {"c": 1.0, "independent": True} + elif distance == "twe": + distance_params = { + "nu": 0.05, + "lmbda": 1.0, + } + else: + distance_params = {} + print("Unknown distance metric, using defaults") # noqa: T001 + kwargs["distance_params"] = distance_params cnl = clusterer.lower() @@ -122,10 +134,10 @@ def _run_experiment(args): if isinstance(clusterer, str) else _clone_estimator(clusterer, resample_id) ), - row_normalise=normalise, n_clusters=-1, clusterer_name=clusterer, resample_id=resample_id, + data_transforms=Normalizer() if normalise else None, build_test_file=True, overwrite=overwrite, ) diff --git a/tsml_eval/publications/y2023/distance_based_clustering/set_distance_clusterer.py b/tsml_eval/publications/y2023/distance_based_clustering/set_distance_clusterer.py index ddbb62e6..19cf663f 100644 --- a/tsml_eval/publications/y2023/distance_based_clustering/set_distance_clusterer.py +++ b/tsml_eval/publications/y2023/distance_based_clustering/set_distance_clusterer.py @@ -1,6 +1,6 @@ """Clusterers used in the publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] from tsml_eval.utils.functions import str_in_nested_list diff --git a/tsml_eval/publications/y2023/rist_pipeline/rist_pipeline.ipynb b/tsml_eval/publications/y2023/rist_pipeline/rist_pipeline.ipynb index 59875d3c..122a7b3b 100644 --- a/tsml_eval/publications/y2023/rist_pipeline/rist_pipeline.ipynb +++ b/tsml_eval/publications/y2023/rist_pipeline/rist_pipeline.ipynb @@ -80,9 +80,10 @@ "\n", "warnings.filterwarnings(\"ignore\")\n", "\n", + "from aeon.classification.hybrid import RISTClassifier\n", + "from aeon.regression.hybrid import RISTRegressor\n", "from sklearn.metrics import accuracy_score, mean_squared_error\n", - "from tsml.datasets import load_minimal_chinatown, load_minimal_gas_prices\n", - "from tsml.hybrid import RISTClassifier, RISTRegressor" + "from tsml.datasets import load_minimal_chinatown, load_minimal_gas_prices" ], "metadata": { "collapsed": false, diff --git a/tsml_eval/publications/y2023/rist_pipeline/run_classification_experiments.py b/tsml_eval/publications/y2023/rist_pipeline/run_classification_experiments.py index 0f633dbd..b5724d43 100644 --- a/tsml_eval/publications/y2023/rist_pipeline/run_classification_experiments.py +++ b/tsml_eval/publications/y2023/rist_pipeline/run_classification_experiments.py @@ -1,6 +1,6 @@ """Experiment runner for RIST pipeline publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os import sys diff --git a/tsml_eval/publications/y2023/rist_pipeline/run_regression_experiments.py b/tsml_eval/publications/y2023/rist_pipeline/run_regression_experiments.py index ba0ce4ce..518da466 100644 --- a/tsml_eval/publications/y2023/rist_pipeline/run_regression_experiments.py +++ b/tsml_eval/publications/y2023/rist_pipeline/run_regression_experiments.py @@ -1,6 +1,6 @@ """Experiment runner for RIST pipeline publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os import sys diff --git a/tsml_eval/publications/y2023/rist_pipeline/set_rist_classifier.py b/tsml_eval/publications/y2023/rist_pipeline/set_rist_classifier.py index cefcaf8e..12b58236 100644 --- a/tsml_eval/publications/y2023/rist_pipeline/set_rist_classifier.py +++ b/tsml_eval/publications/y2023/rist_pipeline/set_rist_classifier.py @@ -1,6 +1,6 @@ """Classifiers used in the publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import numpy as np @@ -46,13 +46,13 @@ def _set_rist_classifier( **kwargs, ) elif c == "rdstclassifier" or c == "rdst": - from tsml.shapelet_based import RDSTClassifier + from aeon.classification.shapelet_based import RDSTClassifier return RDSTClassifier(random_state=random_state) elif c == c == "rstsfclassifier" or c == "rstsf" or c == "r-stsf": - from tsml.interval_based import RSTSFClassifier + from aeon.classification.interval_based import RSTSF - return RSTSFClassifier( + return RSTSF( n_estimators=500, random_state=random_state, n_jobs=n_jobs, **kwargs ) elif c == "drcif" or c == "drcifclassifier": @@ -73,8 +73,8 @@ def _set_rist_classifier( return HIVECOTEV2(random_state=random_state, n_jobs=n_jobs, **kwargs) elif c == "ristclassifier" or c == "rist" or c == "rist-extrat": + from aeon.classification.hybrid import RISTClassifier from sklearn.ensemble import ExtraTreesClassifier - from tsml.hybrid import RISTClassifier return RISTClassifier( random_state=random_state, @@ -83,8 +83,8 @@ def _set_rist_classifier( **kwargs, ) elif c == "rist-rf": + from aeon.classification.hybrid import RISTClassifier from sklearn.ensemble import RandomForestClassifier - from tsml.hybrid import RISTClassifier return RISTClassifier( random_state=random_state, @@ -93,10 +93,10 @@ def _set_rist_classifier( **kwargs, ) elif c == "rist-ridgecv": + from aeon.classification.hybrid import RISTClassifier from sklearn.linear_model import RidgeClassifierCV from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler - from tsml.hybrid import RISTClassifier return RISTClassifier( random_state=random_state, @@ -110,11 +110,11 @@ def _set_rist_classifier( elif ( c == "randomintervalclassifier" or c == "intervalpipeline" or c == "i-pipeline" ): + from aeon.transformations.collection.feature_based import Catch22 from sklearn.ensemble import ExtraTreesClassifier from tsml.interval_based import RandomIntervalClassifier from tsml.transformations import ( ARCoefficientTransformer, - Catch22Transformer, FunctionTransformer, PeriodogramTransformer, ) @@ -136,7 +136,7 @@ def sqrt_times_15_plus_5_mv(X): ) # pragma: no cover interval_features = [ - Catch22Transformer(outlier_norm=True, replace_nans=True), + Catch22(outlier_norm=True, replace_nans=True), row_mean, row_std, row_slope, diff --git a/tsml_eval/publications/y2023/rist_pipeline/set_rist_regressor.py b/tsml_eval/publications/y2023/rist_pipeline/set_rist_regressor.py index b562c4c4..d452f735 100644 --- a/tsml_eval/publications/y2023/rist_pipeline/set_rist_regressor.py +++ b/tsml_eval/publications/y2023/rist_pipeline/set_rist_regressor.py @@ -1,6 +1,6 @@ """Regressors used in the publication.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import numpy as np @@ -58,12 +58,12 @@ def _set_rist_regressor( **kwargs, ) elif r == "rdstregressor" or r == "rdst": - from tsml.shapelet_based import RDSTRegressor + from aeon.regression.shapelet_based import RDSTRegressor return RDSTRegressor(random_state=random_state, n_jobs=n_jobs, **kwargs) elif r == "ristregressor" or r == "rist" or r == "rist-extrat": + from aeon.regression.hybrid import RISTRegressor from sklearn.ensemble import ExtraTreesRegressor - from tsml.hybrid import RISTRegressor return RISTRegressor( random_state=random_state, @@ -72,8 +72,8 @@ def _set_rist_regressor( **kwargs, ) elif r == "rist-rf": + from aeon.regression.hybrid import RISTRegressor from sklearn.ensemble import RandomForestRegressor - from tsml.hybrid import RISTRegressor return RISTRegressor( random_state=random_state, @@ -82,10 +82,10 @@ def _set_rist_regressor( **kwargs, ) elif r == "rist-ridgecv": + from aeon.regression.hybrid import RISTRegressor from sklearn.linear_model import RidgeCV from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler - from tsml.hybrid import RISTRegressor return RISTRegressor( random_state=random_state, diff --git a/tsml_eval/publications/y2023/tsc_bakeoff/run_experiments.py b/tsml_eval/publications/y2023/tsc_bakeoff/run_experiments.py index eae3afbd..2252a149 100644 --- a/tsml_eval/publications/y2023/tsc_bakeoff/run_experiments.py +++ b/tsml_eval/publications/y2023/tsc_bakeoff/run_experiments.py @@ -1,6 +1,6 @@ """Experiment runner for bakeoff redux 2023 publication.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import os import sys diff --git a/tsml_eval/publications/y2023/tsc_bakeoff/set_bakeoff_classifier.py b/tsml_eval/publications/y2023/tsc_bakeoff/set_bakeoff_classifier.py index d9e3333a..4362326b 100644 --- a/tsml_eval/publications/y2023/tsc_bakeoff/set_bakeoff_classifier.py +++ b/tsml_eval/publications/y2023/tsc_bakeoff/set_bakeoff_classifier.py @@ -1,6 +1,6 @@ """Classifiers used in the publication.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] from tsml_eval.utils.functions import str_in_nested_list @@ -34,13 +34,13 @@ ["weasel_v2", "weasel v2", "weasel v2.0", "weasel-dilation", "weasel-d"], # convolution based ["RocketClassifier", "rocket"], - ["minirocket", "mini-rocket"], - ["multirocket", "multi-rocket"], + ["MiniRocketClassifier", "minirocket", "mini-rocket"], + ["MultiRocketClassifier", "multirocket", "multi-rocket"], ["arsenalclassifier", "Arsenal"], ["hydra", "hydraclassifier"], ["mr-hydra", "multirockethydra", "multirockethydraclassifier", "multirocket-hydra"], # deep learning - ["CNNClassifier", "cnn"], + ["TimeCNNClassifier", "cnnclassifier", "cnn", "timecnn"], ["ResNetClassifier", "resnet"], ["InceptionTimeClassifier", "inceptiontime"], ["h-inceptiontimeclassifier", "h-inceptiontime"], @@ -135,9 +135,9 @@ def _set_bakeoff_classifier( **kwargs, ) elif c == c == "rstsfclassifier" or c == "rstsf" or c == "r-stsf": - from tsml.interval_based import RSTSFClassifier + from aeon.classification.interval_based import RSTSF - return RSTSFClassifier( + return RSTSF( n_estimators=500, random_state=random_state, n_jobs=n_jobs, @@ -249,20 +249,18 @@ def _set_bakeoff_classifier( n_jobs=n_jobs, **kwargs, ) - elif c == "minirocket" or c == "mini-rocket": - from aeon.classification.convolution_based import RocketClassifier + elif c == "minirocketclassifier" or c == "minirocket" or c == "mini-rocket": + from aeon.classification.convolution_based import MiniRocketClassifier - return RocketClassifier( - rocket_transform="minirocket", + return MiniRocketClassifier( random_state=random_state, n_jobs=n_jobs, **kwargs, ) - elif c == "multirocket" or c == "multi-rocket": - from aeon.classification.convolution_based import RocketClassifier + elif c == "multirocketclassifier" or c == "multirocket" or c == "multi-rocket": + from aeon.classification.convolution_based import MultiRocketClassifier - return RocketClassifier( - rocket_transform="multirocket", + return MultiRocketClassifier( random_state=random_state, n_jobs=n_jobs, **kwargs, @@ -296,10 +294,12 @@ def _set_bakeoff_classifier( n_jobs=n_jobs, **kwargs, ) - elif c == "cnnclassifier" or c == "cnn": - from aeon.classification.deep_learning import CNNClassifier + elif ( + c == "timecnnclassifier" or c == "cnnclassifier" or c == "cnn" or c == "timecnn" + ): + from aeon.classification.deep_learning import TimeCNNClassifier - return CNNClassifier( + return TimeCNNClassifier( random_state=random_state, **kwargs, ) diff --git a/tsml_eval/publications/y2023/tser_archive_expansion/run_experiments.py b/tsml_eval/publications/y2023/tser_archive_expansion/run_experiments.py index 36038844..fd9c01d3 100644 --- a/tsml_eval/publications/y2023/tser_archive_expansion/run_experiments.py +++ b/tsml_eval/publications/y2023/tser_archive_expansion/run_experiments.py @@ -1,6 +1,6 @@ """Experiment runner for TSER expansion publication.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst", "dguijo"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst", "dguijo"] import os import sys diff --git a/tsml_eval/publications/y2023/tser_archive_expansion/set_tser_exp_regressor.py b/tsml_eval/publications/y2023/tser_archive_expansion/set_tser_exp_regressor.py index 011e8eae..d5873460 100644 --- a/tsml_eval/publications/y2023/tser_archive_expansion/set_tser_exp_regressor.py +++ b/tsml_eval/publications/y2023/tser_archive_expansion/set_tser_exp_regressor.py @@ -1,6 +1,6 @@ """Regressors used in the publication.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst", "dguijo"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst", "dguijo"] import numpy as np @@ -25,9 +25,9 @@ ["rf", "randf", "randomforest", "RandomForestRegressor"], ["resnet", "ResNetRegressor"], ["rocket", "RocketRegressor"], - ["multirocket", "multirocketregressor"], + ["MultiRocketRegressor", "multirocket"], ["xgb", "xgboost", "xgboostregressor", "XGBRegressor"], - ["cnn", "CNNRegressor"], + ["TimeCNNRegressor", "cnnregressor", "cnn", "timecnn"], ["RidgeCV", "ridge"], ["RotationForestRegressor", "rotf", "rotationforest"], ["tsf", "timeseriesforestregressor"], @@ -176,11 +176,10 @@ def _set_tser_exp_regressor( n_jobs=n_jobs, **kwargs, ) - elif r == "multirocket" or r == "multirocketregressor": - from aeon.regression.convolution_based import RocketRegressor + elif r == "multirocketregressor" or r == "multirocket": + from aeon.regression.convolution_based import MultiRocketRegressor - return RocketRegressor( - rocket_transform="multirocket", + return MultiRocketRegressor( random_state=random_state, n_jobs=n_jobs, **kwargs, @@ -195,10 +194,10 @@ def _set_tser_exp_regressor( random_state=random_state, **kwargs, ) - elif r == "cnn" or r == "cnnregressor": - from aeon.regression.deep_learning import CNNRegressor + elif r == "timecnnregressor" or r == "cnnregressor" or r == "cnn" or r == "timecnn": + from aeon.regression.deep_learning import TimeCNNRegressor - return CNNRegressor( + return TimeCNNRegressor( random_state=random_state, **kwargs, ) diff --git a/tsml_eval/publications/y2023/tser_archive_expansion/tser_archive_expansion.ipynb b/tsml_eval/publications/y2023/tser_archive_expansion/tser_archive_expansion.ipynb index a6fc81cd..541576b1 100644 --- a/tsml_eval/publications/y2023/tser_archive_expansion/tser_archive_expansion.ipynb +++ b/tsml_eval/publications/y2023/tser_archive_expansion/tser_archive_expansion.ipynb @@ -164,7 +164,7 @@ "cell_type": "code", "source": [ "# build a ROCKET regressor and make predictions\n", - "rocket = RocketRegressor(num_kernels=1000, random_state=0)\n", + "rocket = RocketRegressor(n_kernels=1000, random_state=0)\n", "rocket.fit(X_train, y_train)\n", "rocket.predict(X_test)" ], @@ -207,7 +207,6 @@ "regressors = [\n", " \"1NN-DTW\",\n", " \"1NN-ED\",\n", - " \"FPCR-Bs\",\n", " \"RandF\",\n", " \"ROCKET\",\n", "]\n", @@ -254,13 +253,6 @@ } ], "execution_count": 4 - }, - { - "cell_type": "markdown", - "source": [], - "metadata": { - "collapsed": false - } } ], "metadata": { diff --git a/tsml_eval/testing/_cicd_numba_caching.py b/tsml_eval/testing/_cicd_numba_caching.py index 64af39d7..560f552e 100644 --- a/tsml_eval/testing/_cicd_numba_caching.py +++ b/tsml_eval/testing/_cicd_numba_caching.py @@ -1,113 +1,109 @@ """CICD numba caching functions.""" +import os import pickle import subprocess import numba.core.caching - -def get_invalid_numba_files(): - """Get the files that have been changed since the last commit. - - This function is used to get the files that have been changed. This is needed - because custom logic to save the numba cache has been implemented for numba. - This function returns the file names that have been changed and if they appear - in here any numba functions cache are invalidated. - - Returns - ------- - list - List of file names that have been changed. - """ - subprocess.run(["git", "fetch", "origin", "main"], check=True) - - result = subprocess.run( - ["git", "diff", "--name-only", "origin/main"], - check=True, - capture_output=True, - text=True, # Makes the output text instead of bytes - ) - - files = result.stdout.split("\n") - - files = [file for file in files if file] - - clean_files = [] - - for temp in files: - if temp.endswith(".py"): - clean_files.append((temp.split("/")[-1]).strip(".py")) - - return clean_files - - -# Retry the git fetch and git diff commands in case of failure -retry = 0 -while retry < 3: - try: - CHANGED_FILES = get_invalid_numba_files() - break - except subprocess.CalledProcessError: - retry += 1 - -# If the retry count is reached, raise an error -if retry == 3: - raise Exception("Failed to get the changed files from git.") - - -def custom_load_index(self): - """Overwrite load index method for numba. - - This is used to overwrite the numba internal logic to allow for caching during - the cicd run. Numba traditionally checks the timestamp of the file and if it - has changed it invalidates the cache. This is not ideal for the cicd run as - the cache restore is always before the files (since it is cloned in) and - thus the cache is always invalidated. This custom method ignores the timestamp - element and instead just checks the file name. This isn't as fine grained as numba - but it is better to invalidate more and make sure the right function has been - compiled than try to be too clever and miss some. - - Returns - ------- - dict - Dictionary of the cached functions. - """ - try: - with open(self._index_path, "rb") as f: - version = pickle.load(f) - data = f.read() - except FileNotFoundError: - return {} - if version != self._version: - return {} - stamp, overloads = pickle.loads(data) - cache_filename = self._index_path.split("/")[-1].split("-")[0].split(".")[0] - if stamp[1] != self._source_stamp[1] or cache_filename in CHANGED_FILES: - return {} - else: - return overloads - - -original_load_index = numba.core.caching.IndexDataCacheFile._load_index -numba.core.caching.IndexDataCacheFile._load_index = custom_load_index - - -# Force all numba functions to be cached -original_jit = numba.core.decorators._jit - - -def custom_njit(*args, **kwargs): - """Force jit to cache. - - This is used for libraries like stumpy that doesn't cache by default. This - function will force all functions running to be cache'd - """ - target = kwargs["targetoptions"] - # This target can't be cached - if "no_cpython_wrapper" not in target: - kwargs["cache"] = True - return original_jit(*args, **kwargs) - - -# Overwrite the jit function with the custom version -numba.core.decorators._jit = custom_njit +if os.environ.get("CICD_RUNNING") == "1": # pragma: no cover + + def get_invalid_numba_files(): + """Get the files that have been changed since the last commit. + + This function is used to get the files that have been changed. This is needed + because custom logic to save the numba cache has been implemented for numba. + This function returns the file names that have been changed and if they appear + in here any numba functions cache are invalidated. + + Returns + ------- + list + List of file names that have been changed. + """ + subprocess.run(["git", "fetch", "origin", "main"], check=True) + + result = subprocess.run( + ["git", "diff", "--name-only", "origin/main"], + check=True, + capture_output=True, + text=True, # Makes the output text instead of bytes + ) + + files = result.stdout.split("\n") + + files = [file for file in files if file] + + clean_files = [] + + for temp in files: + if temp.endswith(".py"): + clean_files.append((temp.split("/")[-1]).strip(".py")) + + return clean_files + + # Retry the git fetch and git diff commands in case of failure + retry = 0 + while retry < 3: + try: + CHANGED_FILES = get_invalid_numba_files() + break + except subprocess.CalledProcessError: + retry += 1 + + # If the retry count is reached, raise an error + if retry == 3: + raise Exception("Failed to get the changed files from git.") + + def custom_load_index(self): + """Overwrite load index method for numba. + + This is used to overwrite the numba internal logic to allow for caching during + the cicd run. Numba traditionally checks the timestamp of the file and if it + has changed it invalidates the cache. This is not ideal for the cicd run as + the cache restore is always before the files (since it is cloned in) and + thus the cache is always invalidated. This custom method ignores the timestamp + element and instead just checks the file name. This isn't as fine grained as + numba but it is better to invalidate more and make sure the right function has + been compiled than try to be too clever and miss some. + + Returns + ------- + dict + Dictionary of the cached functions. + """ + try: + with open(self._index_path, "rb") as f: + version = pickle.load(f) + data = f.read() + except FileNotFoundError: + return {} + if version != self._version: + return {} + stamp, overloads = pickle.loads(data) + cache_filename = self._index_path.split("/")[-1].split("-")[0].split(".")[0] + if stamp[1] != self._source_stamp[1] or cache_filename in CHANGED_FILES: + return {} + else: + return overloads + + original_load_index = numba.core.caching.IndexDataCacheFile._load_index + numba.core.caching.IndexDataCacheFile._load_index = custom_load_index + + # Force all numba functions to be cached + original_jit = numba.core.decorators._jit + + def custom_njit(*args, **kwargs): + """Force jit to cache. + + This is used for libraries like stumpy that doesn't cache by default. This + function will force all functions running to be cache'd + """ + target = kwargs["targetoptions"] + # This target can't be cached + if "no_cpython_wrapper" not in target: + kwargs["cache"] = True + return original_jit(*args, **kwargs) + + # Overwrite the jit function with the custom version + numba.core.decorators._jit = custom_njit diff --git a/tsml_eval/testing/testing_config.py b/tsml_eval/testing/testing_config.py index f23f0de4..b23b20ef 100644 --- a/tsml_eval/testing/testing_config.py +++ b/tsml_eval/testing/testing_config.py @@ -1,6 +1,3 @@ """Test configuration.""" -import os - -if os.environ.get("CICD_RUNNING") == "1": - import tsml_eval.testing._cicd_numba_caching # noqa: F401 +import tsml_eval.testing._cicd_numba_caching # noqa: F401 diff --git a/tsml_eval/testing/testing_utils.py b/tsml_eval/testing/testing_utils.py index b71ab2e7..32b52b24 100644 --- a/tsml_eval/testing/testing_utils.py +++ b/tsml_eval/testing/testing_utils.py @@ -24,8 +24,13 @@ def _check_set_method( - set_method, estimator_sub_list, estimator_dict, all_estimator_names + set_method, + estimator_sub_list, + estimator_dict, + all_estimator_names, + return_estimator=False, ): + estimators = [] for estimator_names in estimator_sub_list: estimator_names = ( [estimator_names] if isinstance(estimator_names, str) else estimator_names @@ -38,34 +43,43 @@ def _check_set_method( all_estimator_names.append(estimator_alias) try: - e = set_method(estimator_alias) + out = set_method(estimator_alias) except ModuleNotFoundError as err: exempt_errors = [ "optional dependency", "soft dependency", "python version", ] - if any(s in str(err) for s in exempt_errors): + if any(s in str(err) for s in exempt_errors) or "." not in str(err): continue else: raise err - assert e is not None, f"Estimator {estimator_alias} not found" - assert isinstance( - e, BaseEstimator - ), f"Estimator {estimator_alias} is not a BaseEstimator" + assert out is not None, f"Estimator {estimator_alias} not found" - c_name = e.__class__.__name__.lower() - if c_name == estimator_alias.lower(): - estimator_dict[c_name] = True - elif c_name not in estimator_dict: - estimator_dict[c_name] = False + if not isinstance(out, list): + out = [out] + + for e in out: + assert isinstance( + e, BaseEstimator + ), f"Estimator {estimator_alias} is not a BaseEstimator" + + e_name = e.__class__.__name__.lower() + if e_name == estimator_alias.lower(): + estimator_dict[e_name] = True + elif e_name not in estimator_dict: + estimator_dict[e_name] = False + + if return_estimator: + estimators.append(e) + if return_estimator: + return estimators EXEMPT_ESTIMATOR_NAMES = [ "channelensembleregressor", "gridsearchcv", - "transformedtargetforecaster", ] diff --git a/tsml_eval/testing/tests/__init__.py b/tsml_eval/testing/tests/__init__.py index b225e3e8..ff594681 100644 --- a/tsml_eval/testing/tests/__init__.py +++ b/tsml_eval/testing/tests/__init__.py @@ -1 +1,17 @@ """Tests for testing functions and classes.""" + +import pkgutil + +import tsml_eval + +# collect all modules except _wip +ALL_TSML_EVAL_MODULES = [ + x[1] for x in pkgutil.walk_packages(tsml_eval.__path__, tsml_eval.__name__ + ".") +] +ALL_TSML_EVAL_MODULES = [x for x in ALL_TSML_EVAL_MODULES if "_wip" not in x] + +ALL_TSML_EVAL_MODULES_NO_TESTS = [ + x + for x in ALL_TSML_EVAL_MODULES + if not any(part == "tests" for part in x.split(".")) +] diff --git a/tsml_eval/testing/tests/test_core_imports.py b/tsml_eval/testing/tests/test_core_imports.py new file mode 100644 index 00000000..baf1cb89 --- /dev/null +++ b/tsml_eval/testing/tests/test_core_imports.py @@ -0,0 +1,26 @@ +"""Tests that non-core dependencies are handled correctly in modules.""" + +import re +from importlib import import_module + +from tsml_eval.testing.tests import ALL_TSML_EVAL_MODULES_NO_TESTS + +if __name__ == "__main__": + """Test imports in tsml-eval modules with core dependencies only. + + Imports all modules and catch exceptions due to missing dependencies. + """ + for module in ALL_TSML_EVAL_MODULES_NO_TESTS: + try: + import_module(module) + except ModuleNotFoundError as e: # pragma: no cover + dependency = "unknown" + match = re.search(r"\'(.+?)\'", str(e)) + if match: + dependency = match.group(1) + + raise ModuleNotFoundError( + f"The module: {module} should not require any non-core dependencies, " + f"but tried importing: '{dependency}'. Make sure non-core dependencies " + f"are properly isolated outside of tests/ directories." + ) from e diff --git a/tsml_eval/testing/tests/test_softdeps.py b/tsml_eval/testing/tests/test_softdeps.py new file mode 100644 index 00000000..ce056855 --- /dev/null +++ b/tsml_eval/testing/tests/test_softdeps.py @@ -0,0 +1,36 @@ +"""Tests that soft dependencies are handled correctly in modules.""" + +import re +from importlib import import_module + +import pytest + +from tsml_eval.testing.tests import ALL_TSML_EVAL_MODULES + + +def test_module_crawl(): + """Test that we are crawling modules correctly.""" + assert "tsml_eval.experiments" in ALL_TSML_EVAL_MODULES + assert "tsml_eval.estimators" in ALL_TSML_EVAL_MODULES + assert "tsml_eval.estimators.classification" in ALL_TSML_EVAL_MODULES + + +@pytest.mark.parametrize("module", ALL_TSML_EVAL_MODULES) +def test_module_soft_deps(module): + """Test soft dependency imports in tsml-eval modules. + + Imports all modules and catch exceptions due to missing dependencies. + """ + try: + import_module(module) + except ModuleNotFoundError as e: # pragma: no cover + dependency = "unknown" + match = re.search(r"\'(.+?)\'", str(e)) + if match: + dependency = match.group(1) + + raise ModuleNotFoundError( + f"The module: {module} should not require any soft dependencies, " + f"but tried importing: '{dependency}'. Make sure soft dependencies are " + f"properly isolated." + ) from e diff --git a/tsml_eval/time_series_meta_learning/__init__.py b/tsml_eval/time_series_meta_learning/__init__.py new file mode 100644 index 00000000..bd8b137e --- /dev/null +++ b/tsml_eval/time_series_meta_learning/__init__.py @@ -0,0 +1 @@ +"""Meta_learning module for time series data.""" diff --git a/tsml_eval/time_series_meta_learning/base_torch.py b/tsml_eval/time_series_meta_learning/base_torch.py new file mode 100644 index 00000000..5a3d61f2 --- /dev/null +++ b/tsml_eval/time_series_meta_learning/base_torch.py @@ -0,0 +1,160 @@ +import os.path +from abc import abstractmethod +from typing import Optional, Tuple + +import numpy as np +import torch +import torch.nn as nn +import torch.optim as optim +from aeon.classification.base import BaseClassifier +from sklearn.preprocessing import LabelEncoder, OneHotEncoder +from sklearn.utils import check_random_state + + +class BaseDeepClassifier_Pytorch(BaseClassifier): + """ + Abstract base class for deep learning time series classifiers using PyTorch. + + This class builds on BaseClassifier, integrating PyTorch-based deep learning + methods for training, prediction, and probability estimation. + + Parameters + ---------- + batch_size : int, default=40 + Training batch size for the model. + random_state : int or None, default=None + Random state for reproducibility. + last_file_name : str, default="last_model" + The name of the file for saving the last trained model. + """ + + _tags = { + "X_inner_type": "numpy3D", + "capability:multivariate": True, + "algorithm_type": "deeplearning", + "non_deterministic": True, + "cant_pickle": True, + "python_dependencies": "torch", + } + + def __init__( + self, + batch_size: int = 32, + random_state: Optional[int] = None, + last_file_name: str = "last_model", + ): + super().__init__() + self.batch_size = batch_size + self.random_state = random_state + self.last_file_name = last_file_name + + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + self.model = None + self.history = None + self.data_utils = None + + @abstractmethod + def build_model(self, input_channel: int, n_classes: int) -> nn.Module: + """ + Define the PyTorch model architecture. + + Parameters + ---------- + input_channel : int + channel of the input data (channels, timepoints). + n_classes : int + Number of classes for classification. + + Returns + ------- + model : nn.Module + The PyTorch model. + """ + ... + + def _predict(self, X: np.ndarray) -> np.ndarray: + """Predict class labels for input data.""" + probs = self._predict_proba(X) + return np.argmax(probs, axis=1) + + def _predict_proba(self, X: np.ndarray) -> np.ndarray: + """Predict class probabilities for input data.""" + self.model.eval() + X_tensor = torch.tensor(X.transpose(0, 2, 1), dtype=torch.float32).to( + self.device + ) + with torch.no_grad(): + outputs = self.model(X_tensor) + probs = torch.softmax(outputs, dim=1).cpu().numpy() + return probs + + def convert_y_to_torch(self, y: np.ndarray) -> torch.Tensor: + """Convert y to the required one-hot PyTorch format.""" + label_encoder = LabelEncoder() + y = label_encoder.fit_transform(y) + self.classes_ = label_encoder.classes_ + self.n_classes_ = len(self.classes_) + + y = y.reshape(len(y), 1) + onehot_encoder = OneHotEncoder(sparse_output=False) + y = onehot_encoder.fit_transform(y) + return torch.tensor(y, dtype=torch.float32).to(self.device) + + def save_model_to_file(self, model, file_name="last_model.pth"): + """Save the trained PyTorch model.""" + model_path = os.path.join(self.file_path, file_name) + torch.save(model.state_dict(), model_path) + + def load_model(self, model, file_name: str): + """Load a pre-trained PyTorch model.""" + model_path = os.path.join(self.file_path, file_name) + model.load_state_dict(torch.load(model_path)) + return model + + @staticmethod + def summary_model(model, input_size): + """ + Prints a summary of the PyTorch model. + Args: + model: The PyTorch model (nn.Module). + input_size: Tuple representing the size of the input tensor (e.g., (batch_size, channels, timepoints)). + """ + + def register_hook(module): + def hook(module, inputs, outputs): + module_name = module.__class__.__name__ + module_str = f"{module_name:>20}" + input_shape = str(list(inputs[0].size())) + output_shape = str(list(outputs.size())) + num_params = sum(p.numel() for p in module.parameters()) + summary_lines.append( + f"{module_str:>20} | {input_shape:>20} -> {output_shape:>20} | Params: {num_params}" + ) + + if ( + not isinstance(module, nn.Sequential) + and not isinstance(module, nn.ModuleList) + and module != model + ): + hooks.append(module.register_forward_hook(hook)) + + hooks = [] + summary_lines = [ + "{:<25} {:<25} {:<25} {:<10}".format( + "Layer", "Input Shape", "Output Shape", "Param #" + ) + ] + + # Register hooks + model.apply(register_hook) + + # Generate dummy input and do a forward pass + dummy_input = torch.randn(*input_size) + model(dummy_input) + + # Remove hooks + for h in hooks: + h.remove() + + # Print the summary + print("\n".join(summary_lines)) diff --git a/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/__init__.py b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/__init__.py new file mode 100644 index 00000000..71504dc9 --- /dev/null +++ b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/__init__.py @@ -0,0 +1,3 @@ +"""Meta_learning module for time series imbalanced classification.""" + +__all__ = ["data", "solver", "model"] diff --git a/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/data.py b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/data.py new file mode 100644 index 00000000..d67ad132 --- /dev/null +++ b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/data.py @@ -0,0 +1,347 @@ +import os + +import numpy as np +import torch +from sklearn.utils import check_random_state +from torch.utils.data import Dataset + +from tsml_eval.utils.datasets import load_experiment_data +from tsml_eval.utils.resampling import ( + make_imbalance, + resample_data, + stratified_resample_data, +) + + +class Task_Data: + """ + docstring for Task_Data + for imbalanced classification task data construction + output: Meta_train(Support set, Query set), Meta_test(Support set, Query set) data + """ + + def __init__( + self, + problem_path=r"C:\Users\cq2u24\OneDrive - University of Southampton\Documents\Downloads\Data\Data", + dataset="OSULeaf", + resample_id=0, + predefined_resample=False, + datasetlists=r"C:\Users\cq2u24\OneDrive - University of Southampton\Documents\Downloads\Data\classification10.txt", + K_support=5, + K_Query=5, + ): + self.problem_path = problem_path + self.dataset = dataset + + self.resample_id = resample_id + self.predefined_resample = predefined_resample + + self.datasetlists = self.exclude_current_dataset(datasetlists, self.dataset) + self.K_support = K_support + self.K_query = K_Query + + self.base_rng = check_random_state(self.resample_id) + + @staticmethod + def exclude_current_dataset(file_path, current_dataset): + """ + Reads a file containing datasets line-by-line and generates a list excluding the current dataset. + + Parameters + ---------- + file_path (str): Path to the dataset list file. + current_dataset (str): The dataset to exclude. + + Returns + ------- + list: A list of datasets excluding the current dataset. + """ + # Check if the file exists + if not os.path.exists(file_path): + raise FileNotFoundError(f"The file {file_path} does not exist.") + + # Read datasets and exclude the current one + with open(file_path) as file: + datasets = [ + line.strip() + for line in file + if line.strip() and line.strip() != current_dataset + ] + return datasets + + def construct_data(self, dataset): + """ + Construct dataset and combine the train and test data to a single dataset + + Returns + ------- + tuple: dataset and labels + """ + X_train, y_train, X_test, y_test, resample = load_experiment_data( + self.problem_path, dataset, self.resample_id, self.predefined_resample + ) + if isinstance(X_train, np.ndarray): + is_array = True + elif isinstance(X_train, list): + is_array = False + else: + raise ValueError( + "X_train must be a np.ndarray array or list of np.ndarray arrays" + ) + + # add both train and test to a single dataset + all_labels = np.concatenate((y_train, y_test), axis=None) + all_data = ( + np.concatenate([X_train, X_test], axis=0) if is_array else X_train + X_test + ) + return all_data, all_labels + + @staticmethod + def sample_data( + data, + labels, + n_label_1_support=5, + n_label_0_support=10, + n_label_1_query=5, + n_label_0_query=10, + base_rng=None, + ): + """ + Randomly sample data points with specific label counts and split into support and query sets. + + Parameters + ---------- + data (array-like): The dataset. + labels (array-like): Corresponding labels (binary: '0' and '1'). + n_label_1_support (int): Total number of label '1' support samples to pick. + n_label_0_support (int): Total number of label '0' support samples to pick. + n_label_1_query (int): Total number of label '1' query samples to pick. + n_label_0_query (int): Total number of label '0' query samples to pick. + + Returns + ------- + tuple: (support_data, support_labels, query_data, query_labels) + """ + # Generate a unique seed for this sampling + task_seed = base_rng.randint(0, 2**16 - 1) + rng = check_random_state(task_seed) + + # Separate data based on labels + if isinstance(labels[0], str): + label_1_indices = np.where(labels == "1")[0] + label_0_indices = np.where(labels == "0")[0] + elif isinstance(labels[0], (int, float)): + label_1_indices = np.where(labels == 1)[0] + label_0_indices = np.where(labels == 0)[0] + else: + raise ValueError("Unknown label format") + + assert ( + len(label_1_indices) > n_label_1_support + 1 + and len(label_0_indices) > n_label_0_support + ) + + # Sample the required number of indices for each label + size1 = ( + n_label_1_support + n_label_1_query + if n_label_1_support + n_label_1_query <= len(label_1_indices) + else len(label_1_indices) + ) + size0 = ( + n_label_0_support + n_label_0_query + if n_label_0_support + n_label_0_query <= len(label_0_indices) + else len(label_0_indices) + ) + + sampled_label_1_indices = rng.choice(label_1_indices, size=size1, replace=False) + sampled_label_0_indices = rng.choice(label_0_indices, size=size0, replace=False) + + # Split into support and query sets + support_label_1_indices = sampled_label_1_indices[:n_label_1_support] + query_label_1_indices = sampled_label_1_indices[n_label_1_support:] + + support_label_0_indices = sampled_label_0_indices[:n_label_0_support] + query_label_0_indices = sampled_label_0_indices[n_label_0_support:] + + # Combine the indices for support and query sets + support_indices = np.concatenate( + [support_label_1_indices, support_label_0_indices] + ) + query_indices = np.concatenate([query_label_1_indices, query_label_0_indices]) + + # Shuffle the indices within each set + rng.shuffle(support_indices) + rng.shuffle(query_indices) + + # Extract the data and labels for support and query sets + support_data = data[support_indices] + support_labels = labels[support_indices] + + query_data = data[query_indices] + query_labels = labels[query_indices] + + return support_data, support_labels, query_data, query_labels + + def get_meta_train_task(self, val=False): + """ + Construct the meta-train task data + val: bool, whether to use validation data or not if True, + the query set will be split into query and validation set + + Returns + ------- + tuple: Meta-train support set and query set data + """ + task_seed = self.base_rng.randint(0, 2**16 - 1) + rng = check_random_state(task_seed) + dataset = rng.choice(self.datasetlists) + data, labels = self.construct_data(dataset) + support_data, support_labels, query_data, query_labels = self.sample_data( + data, + labels, + self.K_support, + 3 * self.K_support, + self.K_query, + 3 * self.K_query, + ) + if val: + num_val_data = int(0.3 * len(query_data)) + assert num_val_data >= 1 + val_data, val_labels = ( + query_data[:num_val_data], + query_labels[:num_val_data], + ) + query_data, query_labels = ( + query_data[num_val_data:], + query_labels[num_val_data:], + ) + return ( + support_data, + support_labels, + query_data, + query_labels, + val_data, + val_labels, + ) + else: + return support_data, support_labels, query_data, query_labels + + def get_meta_train_data(self): + task_seed = self.base_rng.randint(0, 2**16 - 1) + rng = check_random_state(task_seed) + dataset = rng.choice(self.datasetlists) + data, labels = self.construct_data(dataset) + return data, labels + + def get_meta_test_task(self, imbalance_ratio=None): + """ + Construct the meta-test task data + + Returns + ------- + tuple: Meta-test support set and query set data + """ + if imbalance_ratio is None: + imbalance_ratio = [90, 10] + X_train, y_train, X_test, y_test, resample = load_experiment_data( + self.problem_path, self.dataset, self.resample_id, self.predefined_resample + ) + + if resample: + X_train, y_train, X_test, y_test = stratified_resample_data( + X_train, y_train, X_test, y_test, random_state=self.resample_id + ) + + X_train, y_train = make_imbalance( + X_train, + y_train, + sampling_ratio=imbalance_ratio, + random_state=self.resample_id, + ) + X_test, y_test = make_imbalance( + X_test, + y_test, + sampling_ratio=imbalance_ratio, + random_state=self.resample_id, + ) + + return X_train, y_train, X_test, y_test + + +class PairDataset(Dataset): + def __init__(self, support_data, query_data, support_labels, query_labels): + """ + Parameters + ---------- + - support_data: Tensor of support set time series (N_support, channels, timepoints). + - query_data: Tensor of query set time series (N_query, channels, timepoints). + - support_labels: Tensor of support set labels (N_support,). + - query_labels: Tensor of query set labels (N_query,). + """ + self.support_data = support_data + self.support_labels = support_labels + self.query_data = query_data + self.query_labels = query_labels + + self.n_support = support_data.size(0) + self.n_query = query_data.size(0) + + def __len__(self): + return self.n_query * self.n_support + + def __getitem__(self, index): + # Compute indices for support and query samples + query_idx = index // self.n_support + support_idx = index % self.n_support + + query_sample = self.query_data[query_idx] + support_sample = self.support_data[support_idx] + label = torch.tensor( + self.query_labels[query_idx] == self.support_labels[support_idx] + ).long() + + return ( + torch.tensor(support_sample).float(), + torch.tensor(query_sample).float(), + label, + ) + + +class TripletDataset(Dataset): + def __init__(self, data, labels, resample_id=None): + """ + Parameters + ---------- + - data: Tensor of input time series data (N_samples, channels, timepoints). + - labels: Tensor of class labels (N_samples,). + - resample_id: int, seed for random state to ensure reproducibility. + """ + self.data = data + self.labels = labels + self.resample_id = resample_id + + def __len__(self): + return len(self.data) + + def __getitem__(self, idx): + # Set random seed for reproducibility + if self.resample_id is not None: + torch.manual_seed(self.resample_id + idx) + + # Anchor + anchor = self.data[idx] + anchor_label = self.labels[idx] + + # Positive: Randomly sample from the same class + positive_idx = torch.randint(0, len(self.data), (1,)).item() + while self.labels[positive_idx] != anchor_label or positive_idx == idx: + positive_idx = torch.randint(0, len(self.data), (1,)).item() + positive = self.data[positive_idx] + + # Negative: Randomly sample from a different class + negative_idx = torch.randint(0, len(self.data), (1,)).item() + while self.labels[negative_idx] == anchor_label: + negative_idx = torch.randint(0, len(self.data), (1,)).item() + negative = self.data[negative_idx] + + return anchor, positive, negative diff --git a/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/model.py b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/model.py new file mode 100644 index 00000000..87d65c8f --- /dev/null +++ b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/model.py @@ -0,0 +1,253 @@ +import torch +import torch.nn as nn + + +class InceptionModule(nn.Module): + def __init__( + self, + in_channels, + num_filters, + bottleneck_size, + kernel_size, + use_bottleneck=True, + ): + """ + Inception Module with optional bottleneck layer. + """ + super().__init__() + self.use_bottleneck = use_bottleneck + + # Bottleneck layer + self.bottleneck = ( + nn.Conv1d(in_channels, bottleneck_size, kernel_size=1, bias=False) + if use_bottleneck + else None + ) + bottleneck_out_channels = bottleneck_size if use_bottleneck else in_channels + + # Convolutional layers with different kernel sizes + kernel_sizes = [kernel_size // (2**i) for i in range(3)] + self.convs = nn.ModuleList( + [ + nn.Sequential( + Conv1dSame( + bottleneck_out_channels, + num_filters, + kernel_size=k, + stride=1, + dilation=1, + bias=False, + ), + nn.BatchNorm1d(num_filters), + nn.ReLU(), + ) + for k in kernel_sizes + ] + ) + + # Max pooling followed by 1x1 convolution + self.maxpool_conv = nn.Sequential( + nn.MaxPool1d(kernel_size=3, stride=1, padding=1), + nn.Conv1d(bottleneck_out_channels, num_filters, kernel_size=1, bias=False), + nn.BatchNorm1d(num_filters), + nn.ReLU(), + ) + + def forward(self, x): + # Apply bottleneck if enabled + if self.use_bottleneck: + x = self.bottleneck(x) + # Apply all inception sub-blocks + out = [conv(x) for conv in self.convs] + out.append(self.maxpool_conv(x)) + return torch.cat(out, dim=1) # Concatenate along the channel dimension + + +class InceptionModel(nn.Module): + def __init__( + self, + num_channels, + num_classes, + depth=6, + num_filters=32, + use_residual=True, + use_bottleneck=True, + bottleneck_size=32, + kernel_size=41, + ): + """ + Inception Model for 1D Time Series Classification. + + Parameters + ---------- + num_channels : int + Number of input channels in the time-series data. + num_classes : int + Number of output classes for classification. + depth : int, default=6 + Number of inception blocks in the model. + num_filters : int, default=32 + Number of filters in each convolutional layer. + use_residual : bool, default=True + Whether to include residual connections. + use_bottleneck : bool, default=True + Whether to include bottleneck layers in inception modules. + bottleneck_size : int, default=32 + Number of output channels in the bottleneck layer. + kernel_size : int, default=41 + Base kernel size for the convolutional layers. + """ + super().__init__() + self.use_residual = use_residual + self.depth = depth + + in_channels = num_channels + res_channels = in_channels + layers = [] + shortcut_layers = [] + for d in range(depth): + # Add residual connection every 3 layers + if use_residual and d % 3 == 2: + shortcut_layers.append(ResidualBlock(res_channels, in_channels)) + res_channels = in_channels + else: + shortcut_layers.append(None) + + layers.append( + InceptionModule( + in_channels=in_channels, + num_filters=num_filters, + bottleneck_size=bottleneck_size, + kernel_size=kernel_size, + use_bottleneck=use_bottleneck, + ) + ) + in_channels = num_filters * 4 # Update in_channels after concatenation + + self.inception_blocks = nn.ModuleList(layers) + self.shortcut_layers = nn.ModuleList(shortcut_layers) + self.relu = nn.ReLU() + self.global_avg_pool = nn.AdaptiveAvgPool1d(1) + self.fc = nn.Linear(in_channels, num_classes) + + def forward(self, x): + # Input shape: (num_samples, num_channels, num_timepoints) + x_shortcut = x + for layer, shortcut in zip(self.inception_blocks, self.shortcut_layers): + if shortcut is not None: + x = self.relu(x + shortcut(x_shortcut)) + x = layer(x) + x_shortcut = x + else: + x = layer(x) + x = self.global_avg_pool(x).squeeze(-1) # Global average pooling + x = self.fc(x) # Fully connected layer for classification + return x + + +class ResidualBlock(nn.Module): + def __init__(self, in_channels, out_channels, stride=1): + """ + Residual Block to add a shortcut connection. + """ + super().__init__() + self.shortcut = nn.Sequential() + if in_channels != out_channels: + # Adjust dimensions if the number of input and output channels differ + self.shortcut = nn.Sequential( + Conv1dSame(in_channels, out_channels, kernel_size=1, stride=stride), + nn.BatchNorm1d(out_channels), + ) + + def forward(self, x): + return self.shortcut(x) + + +class Conv1dSame(nn.Module): + def __init__( + self, in_channels, out_channels, kernel_size, stride=1, dilation=1, bias=False + ): + super().__init__() + self.conv = nn.Conv1d( + in_channels, + out_channels, + kernel_size, + stride=stride, + dilation=dilation, + bias=bias, + ) + self.kernel_size = kernel_size + self.stride = stride + self.dilation = dilation + + def forward(self, x): + # Compute dynamic padding + padding_needed = max( + 0, + (self.stride - 1) * x.shape[-1] + + self.dilation * (self.kernel_size - 1) + + 1 + - self.stride, + ) + padding_left = padding_needed // 2 + padding_right = padding_needed - padding_left + + # Apply padding + x = nn.functional.pad(x, (padding_left, padding_right)) + return self.conv(x) + + +class TimeSeriesSiameseNetwork(nn.Module): + def __init__(self, input_channels, embedding_size): + super().__init__() + self.InceptionModel = InceptionModel( + num_channels=input_channels, + num_classes=embedding_size, + depth=6, + kernel_size=41, + ) + + def forward_once(self, x): + output = self.InceptionModel(x) + return output + + def forward(self, input1, input2): + output1 = self.forward_once(input1) + output2 = self.forward_once(input2) + return output1, output2 + + +class TimeSeriesTripletNetwork(nn.Module): + def __init__(self, input_channels, embedding_size): + super().__init__() + self.InceptionModel = InceptionModel( + num_channels=input_channels, + num_classes=embedding_size, + depth=6, + kernel_size=41, + ) + + def forward(self, anchor, positive, negative): + anchor_output = self.forward_once(anchor) + positive_output = self.forward_once(positive) + negative_output = self.forward_once(negative) + return anchor_output, positive_output, negative_output + + +# Example Usage +if __name__ == "__main__": + # Example input shape: (batch_size, num_channels, num_timepoints) + num_channels = 3 # 3 input channels + num_timepoints = 128 # 128 time steps + num_classes = 10 # 10 output classes + + # Create the model + model = InceptionModel( + num_channels=num_channels, num_classes=num_classes, depth=6, kernel_size=41 + ) + print(model) + + # Example input tensor + x = torch.randn(32, num_channels, num_timepoints) # Batch size of 32 + y = model(x) # Forward pass + print(y.shape) # Output shape: (32, num_classes) diff --git a/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/solver.py b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/solver.py new file mode 100644 index 00000000..f4ec93c8 --- /dev/null +++ b/tsml_eval/time_series_meta_learning/imbalanced_classification_ml/solver.py @@ -0,0 +1,398 @@ +import gc +import os +from typing import Tuple + +import numpy as np +import torch +import torch.nn as nn +import torch.nn.functional as F +from sklearn.utils import check_random_state +from torch.utils.data.dataloader import DataLoader + +from tsml_eval.time_series_meta_learning.base_torch import BaseDeepClassifier_Pytorch +from tsml_eval.time_series_meta_learning.imbalanced_classification_ml.data import ( + PairDataset, + Task_Data, + TripletDataset, +) +from tsml_eval.time_series_meta_learning.imbalanced_classification_ml.model import ( + TimeSeriesSiameseNetwork, +) + + +class Siamese_Classifier(BaseDeepClassifier_Pytorch): + """Siamese Networks (Meta-learning) PyTorch Classifier for Time Series Data.""" + + _tags = {"capability:train_estimate": False} + + def __init__( + self, + problem_path, + dataset, + resample_id, + predefined_resample, + datasetlists, + callbacks=None, + batch_size=32, + file_path="./", + save_best_model=False, + save_last_model=False, + save_init_model=False, + best_file_name="best_model", + last_file_name="last_model", + init_file_name="init_model", + verbose=False, + loss=None, + metrics="accuracy", + random_state=None, + optimizer=None, + meta_train_model=True, + meta_train_loop=20000, + n_features=100, + n_epochs=10, + n_classes=2, + distance_metric="euclidean", + ): + super().__init__( + batch_size=batch_size, + random_state=random_state, + last_file_name=last_file_name, + ) + self.problem_path = problem_path + self.dataset = dataset + self.n_classes = n_classes + self.resample_id = resample_id + self.predefined_resample = predefined_resample + self.datasetlists = datasetlists + + self.n_features = n_features + self.n_epochs = n_epochs + self.meta_train_model = meta_train_model + self.meta_train_loop = meta_train_loop + self.model = None + self.distance_metric = distance_metric + + self.callbacks = callbacks + self.file_path = file_path + self.save_best_model = save_best_model + self.save_last_model = save_last_model + self.save_init_model = save_init_model + self.best_file_name = best_file_name + self.init_file_name = init_file_name + self.verbose = verbose + self.loss = loss + self.metrics = metrics + self.optimizer = optimizer + self.support_data = None + self.support_labels = None + + self.history = None + self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + + def build_model(self, input_channel: int, n_features: int) -> nn.Module: + model = TimeSeriesSiameseNetwork( + input_channels=input_channel, embedding_size=n_features + ) + return model + + def meta_train(self, data_utils: Task_Data) -> "Siamese_Classifier": + """ + Meta-train the model. + Using the meta-learning approach, the model is trained on a set of tasks. + The task is constructed by the UCR dataset except the dataset used to fit and test. + + Returns + ------- + - history: A dictionary containing training and validation loss and acc. + """ + history = {"train_loss": [], "val_loss": [], "train_acc": [], "val_acc": []} + best_val_loss = float("inf") + os.makedirs(self.file_path, exist_ok=True) + model = self.build_model(input_channel=1, n_features=self.n_features) + criterion = nn.BCEWithLogitsLoss() if self.loss is None else self.loss + optimizer = ( + torch.optim.Adam(self.model.parameters(), lr=0.001) + if self.optimizer is None + else self.optimizer + ) + model = model.to(self.device) + + for epoch in range(self.meta_train_loop): + ( + support_data, + support_labels, + query_data, + query_labels, + val_data, + val_labels, + ) = data_utils.get_meta_train_task(val=True) + train_dataset = PairDataset( + support_data, query_data, support_labels, query_labels + ) + val_dataset = PairDataset( + support_data, val_data, support_labels, val_labels + ) + dataloaders = { + "train": DataLoader( + train_dataset, batch_size=self.batch_size, shuffle=True + ), + "val": DataLoader( + val_dataset, batch_size=self.batch_size, shuffle=False + ), + } + + # Training phase + model.train() + running_loss, correct, total = 0.0, 0, 0 + for support_series, query_series, labels in dataloaders["train"]: + support_series, query_series, labels = ( + support_series.to(self.device), + query_series.to(self.device), + labels.to(self.device), + ) + support_embeddings, query_embeddings = model( + support_series, query_series + ) + preds = torch.sigmoid( + torch.norm(support_embeddings - query_embeddings, dim=1) + ) + loss = criterion(preds, labels) + + # Backward pass + optimizer.zero_grad() + loss.backward() + optimizer.step() + + # Statistics + running_loss += loss.item() * support_series.size(0) + total += labels.size(0) + correct += ((preds > 0.5) == labels).sum().item() + + train_loss = running_loss / len(train_dataset) + train_acc = correct / total + history["train_loss"].append(train_loss) + history["train_acc"].append(train_acc) + + # Validation phase + model.eval() + val_loss, correct, total = 0.0, 0, 0 + with torch.no_grad(): + for support_series, query_series, labels in dataloaders["val"]: + support_series, query_series, labels = ( + support_series.to(self.device), + query_series.to(self.device), + labels.to(self.device), + ) + support_embeddings, query_embeddings = model( + support_series, query_series + ) + preds = torch.sigmoid( + torch.norm(support_embeddings - query_embeddings, dim=1) + ) + loss = criterion(preds, labels) + + # Statistics + val_loss += loss.item() * support_series.size(0) + total += labels.size(0) + correct += ((preds > 0.5) == labels).sum().item() + val_loss = val_loss / len(val_dataset) + val_acc = correct / total + history["val_loss"].append(val_loss) + history["val_acc"].append(val_acc) + + # Save best model + if val_loss < best_val_loss: + best_val_loss = val_loss + self.save_model_to_file( + model=model, file_name="meta_trained_best_model.pth" + ) + + # Save immediate model every 1000 epochs + if (epoch + 1) % 1000 == 0: + self.save_model_to_file( + model=model, + file_name=f"meta_trained_immediate_model_epoch_{epoch + 1}.pth", + ) + + # Save the last model + self.save_model_to_file(model=model, file_name="meta_trained_last_model.pth") + + self.history = history + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + return self + + def _fit(self, X, y): + """Fit the classifier on the training set (X, y). + + Parameters + ---------- + X : np.ndarray + The training input samples of shape (n_cases, n_channels, n_timepoints) + y : np.ndarray + The training data class labels of shape (n_cases,). + + + Returns + ------- + self : object + """ + history = {"train_loss": [], "val_loss": [], "train_acc": [], "val_acc": []} + best_val_loss = float("inf") + model = self.build_model(input_channel=X.shape[1], n_features=self.n_features) + if self.meta_train_model: + model = self.load_model( + model=model, file_name="meta_trained_last_model.pth" + ) + + criterion = nn.BCEWithLogitsLoss() if self.loss is None else self.loss + optimizer = ( + torch.optim.Adam(self.model.parameters(), lr=0.001) + if self.optimizer is None + else self.optimizer + ) + model = model.to(self.device) + base_rng = check_random_state(self.resample_id) + for _ in range(self.n_epochs): + support_data, support_labels, query_data, query_labels = ( + Task_Data.sample_data(data=X, labels=y, base_rng=base_rng) + ) + num_val_data = int(0.3 * len(query_data)) + assert num_val_data >= 1 + val_data, val_labels = ( + query_data[:num_val_data], + query_labels[:num_val_data], + ) + query_data, query_labels = ( + query_data[num_val_data:], + query_labels[num_val_data:], + ) + train_dataset = PairDataset( + support_data, query_data, support_labels, query_labels + ) + val_dataset = PairDataset( + support_data, val_data, support_labels, val_labels + ) + dataloaders = { + "train": DataLoader( + train_dataset, batch_size=self.batch_size, shuffle=True + ), + "val": DataLoader( + val_dataset, batch_size=self.batch_size, shuffle=False + ), + } + + # Training phase + model.train() + running_loss, correct, total = 0.0, 0, 0 + for support_series, query_series, labels in dataloaders["train"]: + support_series, query_series, labels = ( + support_series.to(self.device), + query_series.to(self.device), + labels.to(self.device), + ) + support_embeddings, query_embeddings = model( + support_series, query_series + ) + preds = torch.sigmoid( + torch.norm(support_embeddings - query_embeddings, dim=1) + ) + loss = criterion(preds, labels) + + # Backward pass + optimizer.zero_grad() + loss.backward() + optimizer.step() + + # Statistics + running_loss += loss.item() * support_series.size(0) + total += labels.size(0) + correct += ((preds > 0.5) == labels).sum().item() + + train_loss = running_loss / len(train_dataset) + train_acc = correct / total + history["train_loss"].append(train_loss) + history["train_acc"].append(train_acc) + + # Validation phase + model.eval() + val_loss, correct, total = 0.0, 0, 0 + with torch.no_grad(): + for support_series, query_series, labels in dataloaders["val"]: + support_series, query_series, labels = ( + support_series.to(self.device), + query_series.to(self.device), + labels.to(self.device), + ) + support_embeddings, query_embeddings = model( + support_series, query_series + ) + preds = torch.sigmoid( + torch.norm(support_embeddings - query_embeddings, dim=1) + ) + loss = criterion(preds, labels) + + # Statistics + val_loss += loss.item() * support_series.size(0) + total += labels.size(0) + correct += ((preds > 0.5) == labels).sum().item() + val_loss = val_loss / len(val_dataset) + val_acc = correct / total + history["val_loss"].append(val_loss) + history["val_acc"].append(val_acc) + + # Save best model + if val_loss < best_val_loss: + best_val_loss = val_loss + self.save_model_to_file(model=model, file_name="best_model.pth") + + # Save the last model + self.save_model_to_file(model=model, file_name="last_model.pth") + + self.history = history + self.support_data = X + self.support_labels = y + model = self.build_model(input_channel=X.shape[1], n_features=self.n_features) + self.model = self.load_model(model=model, file_name="last_model.pth") + gc.collect() + if torch.cuda.is_available(): + torch.cuda.empty_cache() + return self + + def _predict_proba(self, X: np.ndarray) -> np.ndarray: + """Predict class probabilities for input data.""" + self.model.to(self.device) + self.model.eval() + support_data = torch.tensor(self.support_data).float().to(self.device) + support_labels = torch.tensor(self.support_labels).long().to(self.device) + query_data = torch.tensor(X).float() + classes = torch.unique(support_labels) + n_classes = len(classes) + probs = torch.zeros( + query_data.size(0), n_classes, device=self.device + ) # (n_query, n_classes) + with torch.no_grad(): + support_embeddings = self.model.forward_once(support_data) + for start_idx in range(0, query_data.size(0), 10): + end_idx = min(start_idx + 10, query_data.size(0)) + query_batch = query_data[start_idx:end_idx].to(self.device) + query_embeddings = self.model.forward_once(query_batch) + distances = torch.cdist( + query_embeddings, support_embeddings, p=2 + ) # (batch_size, n_support) + similarities = -distances + normalized_similarities = torch.softmax(similarities, dim=1) + batch_probs = torch.zeros( + query_batch.size(0), n_classes, device=self.device + ) # (batch_size, n_classes) + + for i, cls in enumerate(classes): + class_mask = (support_labels == cls).float() # (n_support,) + class_similarities = normalized_similarities * class_mask.unsqueeze( + 0 + ) + batch_probs[:, i] = class_similarities.sum(dim=1) + # Store batch probabilities + probs[start_idx:end_idx] = batch_probs + return probs.cpu().numpy() diff --git a/tsml_eval/utils/arguments.py b/tsml_eval/utils/arguments.py index 58290d8f..fe83167e 100644 --- a/tsml_eval/utils/arguments.py +++ b/tsml_eval/utils/arguments.py @@ -1,6 +1,6 @@ """tsml-eval command line argument parser.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = [ "parse_args", @@ -64,12 +64,20 @@ def parse_args(args): -ch, --checkpoint save the estimator fit to file periodically while building. Only used if the estimator can checkpoint (default: False). + -dtn DATA_TRANSFORM_NAME, --data_transform_name DATA_TRANSFORM_NAME + str to pass to get_data_transform_by_name to apply a + transformation to the data prior to running the experiment. + By default no transform is applied (default: None). -rn, --row_normalise normalise the data rows prior to fitting and - predicting. (default: False). + predicting. effectively the same as passing Normalizer to + --data_transform_name (default: False). -nc N_CLUSTERS, --n_clusters N_CLUSTERS the number of clusters to find for clusterers which have an {n_clusters} parameter. If {-1}, use the - number of classes in the dataset (default: -1). + number of classes in the dataset. The {n_clusters} parameter + for attributes will also be set. Please ensure that + the argument input itself has the {n_clusters} parameters + and is not a default such as None. (default: -1). -ctts, --combine_test_train_split whether to use a train/test split or not. If True, the train and test sets are combined and used the fit the @@ -95,6 +103,13 @@ def parse_args(args): ensemble. Valid types are {int, float, bool, str}. Any other type will be passed as a str. Can be used multiple times (default: None). + -toms TEST_OVERSAMPLING_METHODS, --test_oversampling_methods + the over-sampling methods to deal with imbalance + classification problems. If None, no over-sampling + method is used.(default: None). + -imb_ratio, --imbalance_ratio, + the ratio of the majority class to the minority class in the training set. + (default: 19 i.e. 95% majority data). Parameters ---------- @@ -194,11 +209,20 @@ def parse_args(args): help="save the estimator fit to file periodically while building. Only used if " "the estimator can checkpoint (default: %(default)s).", ) + parser.add_argument( + "-dtn", + "--data_transform_name", + default=None, + help="str to pass to get_data_transform_by_name to apply a transformation " + "to the data prior to running the experiment. By default no transform " + "is applied (default: %(default)s).", + ) parser.add_argument( "-rn", "--row_normalise", action="store_true", help="normalise the data rows prior to fitting and predicting. " + "effectively the same as passing Normalizer to --data_transform_name " "(default: %(default)s).", ) parser.add_argument( @@ -207,8 +231,10 @@ def parse_args(args): type=int, default=-1, help="the number of clusters to find for clusterers which have an {n_clusters} " - "parameter. If {-1}, use the number of classes in the dataset " - "(default: %(default)s).", + "parameter. If {-1}, use the number of classes in the dataset. The " + "{n_clusters} parameter for arguments will also be set. Please ensure that" + "the argument input itself has the {n_clusters} parameters and is not a default" + "such as None (default: %(default)s).", ) parser.add_argument( "-ctts", @@ -255,6 +281,16 @@ def parse_args(args): "types are {int, float, bool, str}. Any other type will be passed as a str. " "Can be used multiple times (default: %(default)s).", ) + + parser.add_argument( + "-toms", + "--test_oversampling_methods", + type=str, + default=None, + help="the over-sampling methods to deal with imbalance classification problems. " + "If None, no over-sampling method is used. (default: %(default)s).", + ) + args = parser.parse_args(args=args) kwargs = {} diff --git a/tsml_eval/utils/datasets.py b/tsml_eval/utils/datasets.py index 012fa16a..920e6171 100644 --- a/tsml_eval/utils/datasets.py +++ b/tsml_eval/utils/datasets.py @@ -1,6 +1,6 @@ """Utilities for datasets.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = [ "load_experiment_data", "copy_dataset_ts_files", @@ -13,7 +13,7 @@ from typing import Optional, Union import numpy as np -from aeon.datasets import load_from_tsfile, write_to_tsfile +from aeon.datasets import load_from_ts_file, write_to_ts_file def load_experiment_data( @@ -51,19 +51,21 @@ def load_experiment_data( if resample_id is not None and predefined_resample: resample_str = "" if resample_id is None else str(resample_id) - X_train, y_train = load_from_tsfile( + X_train, y_train = load_from_ts_file( f"{problem_path}/{dataset}/{dataset}{resample_str}_TRAIN.ts" ) - X_test, y_test = load_from_tsfile( + X_test, y_test = load_from_ts_file( f"{problem_path}/{dataset}/{dataset}{resample_str}_TEST.ts" ) resample_data = False else: - X_train, y_train = load_from_tsfile( + X_train, y_train = load_from_ts_file( f"{problem_path}/{dataset}/{dataset}_TRAIN.ts" ) - X_test, y_test = load_from_tsfile(f"{problem_path}/{dataset}/{dataset}_TEST.ts") + X_test, y_test = load_from_ts_file( + f"{problem_path}/{dataset}/{dataset}_TEST.ts" + ) resample_data = True if resample_id != 0 else False @@ -144,11 +146,11 @@ def save_merged_dataset_splits( if save_path is None: save_path = problem_path - X_train, y_train = load_from_tsfile(f"{problem_path}/{dataset}/{dataset}_TRAIN.ts") - X_test, y_test = load_from_tsfile(f"{problem_path}/{dataset}/{dataset}_TEST.ts") + X_train, y_train = load_from_ts_file(f"{problem_path}/{dataset}/{dataset}_TRAIN.ts") + X_test, y_test = load_from_ts_file(f"{problem_path}/{dataset}/{dataset}_TEST.ts") os.makedirs(save_path, exist_ok=True) X = np.concatenate([X_train, X_test], axis=0) y = np.concatenate([y_train, y_test], axis=0) - write_to_tsfile(X, f"{save_path}/{dataset}/", y=y, problem_name=dataset) + write_to_ts_file(X, f"{save_path}/{dataset}/", y=y, problem_name=dataset) diff --git a/tsml_eval/utils/estimator_validation.py b/tsml_eval/utils/estimator_validation.py index 241dc38e..06e5c466 100644 --- a/tsml_eval/utils/estimator_validation.py +++ b/tsml_eval/utils/estimator_validation.py @@ -7,9 +7,8 @@ "is_sklearn_clusterer", ] -from aeon.base import BaseEstimator as AeonBaseEstimator -from sklearn.base import BaseEstimator as SklearnBaseEstimator -from sklearn.base import is_classifier, is_regressor +from aeon.base import BaseAeonEstimator +from sklearn.base import BaseEstimator, is_classifier, is_regressor from tsml.base import BaseTimeSeriesEstimator from tsml.utils.validation import is_clusterer @@ -17,8 +16,8 @@ def is_sklearn_estimator(estimator): """Check if estimator is a scikit-learn estimator.""" return ( - isinstance(estimator, SklearnBaseEstimator) - and not isinstance(estimator, AeonBaseEstimator) + isinstance(estimator, BaseEstimator) + and not isinstance(estimator, BaseAeonEstimator) and not isinstance(estimator, BaseTimeSeriesEstimator) ) diff --git a/tsml_eval/utils/experiments.py b/tsml_eval/utils/experiments.py index 81e776c1..1762f586 100644 --- a/tsml_eval/utils/experiments.py +++ b/tsml_eval/utils/experiments.py @@ -1,6 +1,6 @@ """Utility functions for experiments.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = [ "assign_gpu", "timing_benchmark", diff --git a/tsml_eval/utils/oversampling_methods.py b/tsml_eval/utils/oversampling_methods.py new file mode 100644 index 00000000..eab650a5 --- /dev/null +++ b/tsml_eval/utils/oversampling_methods.py @@ -0,0 +1,33 @@ +"""tsml-eval imbalance classification utils using smote and its variants to rebalanced data.""" + +__author__ = ["Chris Qiu"] + +__all__ = [ + "SMOTE_FAMILY", +] + +from imblearn.over_sampling import ADASYN, RandomOverSampler, SMOTE + +class SMOTE_FAMILY: + """ + over-sampling methods include 'ADASYN', 'RandomOverSampler', 'KMeansSMOTE', 'SMOTE', + 'BorderlineSMOTE', 'SVMSMOTE', 'SMOTENC', 'SMOTEN' + """ + + def ros(self, seed): + return RandomOverSampler(random_state=seed) + + def rose(self, seed): + return RandomOverSampler(random_state=seed, shrinkage={1: 2.0}) + + def adasyn(self, seed): + return ADASYN(random_state=seed, n_neighbors=3) + + def smote(self, seed): + return SMOTE(random_state=seed, k_neighbors=3) + + # def kmeans_smote(self, seed): + # return KMeansSMOTE(random_state=seed) + # + # def borderline_smote(self, seed): + # return BorderlineSMOTE(random_state=seed, kind="borderline-1") diff --git a/tsml_eval/utils/resampling.py b/tsml_eval/utils/resampling.py index 648c2ff0..cbb7d857 100644 --- a/tsml_eval/utils/resampling.py +++ b/tsml_eval/utils/resampling.py @@ -1,11 +1,12 @@ """Utility functions fordata resampling.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] __all__ = [ "resample_data", "resample_data_indices", "stratified_resample_data", "stratified_resample_data_indices", + "make_imbalance", ] @@ -67,7 +68,7 @@ def resample_data(X_train, y_train, X_test, y_test, random_state=None): rng.shuffle(indices) train_indices = indices[: len(X_train)] - test_indices = indices[len(X_train) :] + test_indices = indices[len(X_train):] # split the shuffled data into train and test X_train = ( @@ -113,7 +114,7 @@ def resample_data_indices(y_train, y_test, random_state=None): rng.shuffle(indices) train_indices = indices[: len(y_train)] - test_indices = indices[len(y_train) :] + test_indices = indices[len(y_train):] return train_indices, test_indices @@ -193,7 +194,7 @@ def stratified_resample_data(X_train, y_train, X_test, y_test, random_state=None rng.shuffle(indices) train_indices = indices[: counts_train[label_index]] - test_indices = indices[counts_train[label_index] :] + test_indices = indices[counts_train[label_index]:] # extract data from corresponding indices train_cases = ( @@ -279,7 +280,47 @@ def stratified_resample_data_indices(y_train, y_test, random_state=None): [train_indices, indices[: counts_train[label_index]]], axis=None ) test_indices = np.concatenate( - [test_indices, indices[counts_train[label_index] :]], axis=None + [test_indices, indices[counts_train[label_index]:]], axis=None ) return train_indices, test_indices + + +def make_imbalance(X, y, sampling_ratio=None, random_state=0): + """Make the data imbalanced.""" + """ + Make the data imbalanced + :param X: the data + :param y: the target + :param sampling_ratio: the sampling rate [majority, minority] + """ + + x_minority = X[y == "1"] # Minority class + x_majority = X[y == "0"] # Majority class + rng = check_random_state(random_state) + labels, counts = np.unique(y, return_counts=True) + + assert len(sampling_ratio) == 2 + assert sampling_ratio[1] <= counts[1] + + if sampling_ratio[0] < counts[0]: + indices = np.arange(len(x_majority)) # 创建索引数组 + rng.shuffle(indices) + x_majority = x_majority[indices][: sampling_ratio[0]] + + if sampling_ratio[1] < counts[1]: + indices = np.arange(len(x_minority)) + rng.shuffle(indices) + x_minority = x_minority[indices][: sampling_ratio[1]] + + y_majority = np.zeros(len(x_majority)) + y_minority = np.ones(len(x_minority)) + x_imbalanced = np.vstack((x_majority, x_minority)) + y_imbalanced = np.hstack((y_majority, y_minority)) + + index_shuffle = np.arange(len(x_imbalanced)) + rng.shuffle(index_shuffle) + x_imbalanced = x_imbalanced[index_shuffle] + y_imbalanced = y_imbalanced[index_shuffle] + + return x_imbalanced, y_imbalanced diff --git a/tsml_eval/utils/results_loading.py b/tsml_eval/utils/results_loading.py new file mode 100644 index 00000000..9ddf530d --- /dev/null +++ b/tsml_eval/utils/results_loading.py @@ -0,0 +1,365 @@ +"""Utilities for results evaluation.""" + +__all__ = [ + "load_estimator_results", + "estimator_results_to_dict", + "load_estimator_results_to_dict", + "estimator_results_to_array", + "load_estimator_results_to_array", +] + +import numpy as np +from aeon.benchmarking.results_loaders import ( + _results_dict_to_array as _aeon_results_dict_to_array, +) + +from tsml_eval.evaluation.storage import ( + load_classifier_results, + load_clusterer_results, + load_forecaster_results, + load_regressor_results, +) +from tsml_eval.utils.results_validation import ( + _check_classification_third_line, + _check_clustering_third_line, + _check_forecasting_third_line, + _check_regression_third_line, +) + + +def load_estimator_results(file_path, calculate_stats=True, verify_values=True): + """ + Load and return estimator results from a specified file. + + This function reads a file containing estimator results and reconstructs the + EstimatorResults object. It optionally calculates performance statistics and + verifies values based on the loaded data. + + Parameters + ---------- + file_path : str + The path to the file from which estimator results should be loaded. The file + should be a tsml formatted estimator results file. + calculate_stats : bool, default=True + Whether to calculate performance statistics from the loaded results. + verify_values : bool, default=True + If the function should perform verification of the loaded values. + + Returns + ------- + er : EstimatorResults + A EstimatorResults object containing the results loaded from the file. + """ + with open(file_path) as f: + lines = [next(f) for _ in range(3)] + + if _check_classification_third_line(lines[2]): + return load_classifier_results( + file_path, calculate_stats=calculate_stats, verify_values=verify_values + ) + elif _check_clustering_third_line(lines[2]): + return load_clusterer_results( + file_path, calculate_stats=calculate_stats, verify_values=verify_values + ) + elif _check_regression_third_line(lines[2]): + return load_regressor_results( + file_path, calculate_stats=calculate_stats, verify_values=verify_values + ) + elif _check_forecasting_third_line(lines[2]): + return load_forecaster_results( + file_path, calculate_stats=calculate_stats, verify_values=verify_values + ) + else: + raise ValueError("Unable to determine the type of results file.") + + +def estimator_results_to_dict(estimator_results, measure): + """Convert a list of EstimatorResults objects to a dictionary of metrics. + + Follows the output format of ``aeon`` dict results loaders. + + Parameters + ---------- + estimator_results : list of EstimatorResults + The results to convert. + measure : str + A valid metric attribute from the relevant EstimatorResults object. + Dependent on the task, i.e. for classification, "accuracy", "auroc", "balacc", + and regression, "mse", "mae", "r2". + + Returns + ------- + results: dict + Dictionary with estimator name keys containing another dictionary. + Sub-dictionary consists of dataset name keys and contains of scores for each + dataset. + """ + res_dict = _create_results_dictionary(estimator_results) + + resamples = None + for estimator in res_dict: + for dataset in res_dict[estimator]: + if len(res_dict[estimator][dataset].keys()) != 1: + raise ValueError( + "The split value for all results must be the same i.e. " + "no mixing of train and test results. Found: " + f"{res_dict[estimator][dataset].keys()} for {estimator}/{dataset}" + ) + + for split in res_dict[estimator][dataset]: + values = [] + keys = list(res_dict[estimator][dataset][split].keys()) + if resamples is None: + resamples = keys + else: + if resamples != keys: + raise ValueError( + "The resample_id values for each estimator/dataset " + f"combination must be the same. Expected: {resamples}, " + f"found: {keys} for {estimator}/{dataset}" + ) + + for resample in res_dict[estimator][dataset][split]: + res = res_dict[estimator][dataset][split][resample] + res.calculate_statistics() + values.append(getattr(res, measure)) + + values = np.array(values) if len(values) > 1 else values[0] + res_dict[estimator][dataset] = values + + return res_dict + + +def load_estimator_results_to_dict( + load_path, estimator_names, dataset_names, measure, resamples=None, split="test" +): + """Load and convert EstimatorResults objects to a dictionary of metrics. + + Follows the output format of ``aeon`` dict results loaders. + + Parameters + ---------- + load_path : str or list of str + The path to the collection of estimator result files to convert. + If load_path is a list, it will load results from each path in the list. It + is expected that estimator_names and dataset_names are lists of lists with + the same length as load_path. + estimator_names : list of str, or list of list + The names of the estimators to convert. + If load_path is a list, estimator_names must be a list of lists with the same + length as load_path. + dataset_names : str, list of str or list of list + The names of the datasets to convert. If a list of strings, each item is the + name of a dataset. If a string, it is the path to a file containing the names + of the datasets, one per line. + If load_path is a list, dataset_names must be a list of lists with the same + length as load_path. + measure : str + A valid metric attribute from the relevant EstimatorResults object. + Dependent on the task, i.e. for classification, "accuracy", "auroc", "balacc", + and regression, "mse", "mae", "r2". + resamples : int or list of int, default=None + The resamples to load. If int, loads resamples 0 to resamples-1. + For 1 or None, only the loaded score is returned. + For 2 or more, a np.ndarray of scores for all resamples up to resamples are + returned. + split : str, default="test" + The split to load results for, appears at the start of the results file name. + Should be one of "train", "test" in most circumstances. + + Returns + ------- + results: dict + Dictionary with estimator name keys containing another dictionary. + Sub-dictionary consists of dataset name keys and contains of scores for each + dataset. + """ + load_path, estimator_names, dataset_names, resamples = _load_by_problem_init( + "estimator", load_path, estimator_names, dataset_names, resamples + ) + + estimator_results = [] + for i, path in enumerate(load_path): + for estimator_name in estimator_names[i]: + for dataset_name in dataset_names[i]: + for resample in resamples: + result = load_estimator_results( + f"{path}/{estimator_name}/Predictions/" + f"{dataset_name}/{split}Resample{resample}.csv", + ) + estimator_results.append(result) + + return estimator_results_to_dict(estimator_results, measure) + + +def estimator_results_to_array(estimator_results, measure, include_missing=False): + """Convert a list of EstimatorResults objects to an array of metrics. + + Follows the output format of ``aeon`` array results loaders. + + Parameters + ---------- + estimator_results : list of EstimatorResults + The results to convert. + measure : str + A valid metric attribute from the relevant EstimatorResults object. + Dependent on the task, i.e. for classification, "accuracy", "auroc", "balacc", + and regression, "mse", "mae", "r2". + include_missing : bool, default=False + Whether to include datasets with missing results in the output. + If False, the whole problem is ignored if any estimator is missing results it. + If True, NaN is returned instead of a score in missing cases. + + Returns + ------- + results: 2D numpy array + Array of scores. Each column is a results for an estimator, each row a dataset. + For multiple resamples, these scores are averaged. + dataset_names: list of str + List of dataset names that were retained. + estimator_names: list of str + List of estimator names that were retained. + """ + res_dict = estimator_results_to_dict(estimator_results, measure) + return _results_dict_to_array(res_dict, None, None, include_missing) + + +def load_estimator_results_to_array( + load_path, estimator_names, dataset_names, measure, resamples=None, split="test" +): + """Load and convert EstimatorResults objects to an array of metrics. + + Follows the output format of ``aeon`` array results loaders. + + Parameters + ---------- + load_path : str or list of str + The path to the collection of estimator result files to convert. + If load_path is a list, it will load results from each path in the list. It + is expected that estimator_names and dataset_names are lists of lists with + the same length as load_path. + estimator_names : list of str, or list of list + The names of the estimators to convert. + If load_path is a list, estimator_names must be a list of lists with the same + length as load_path. + dataset_names : str, list of str or list of list + The names of the datasets to convert. If a list of strings, each item is the + name of a dataset. If a string, it is the path to a file containing the names + of the datasets, one per line. + If load_path is a list, dataset_names must be a list of lists with the same + length as load_path. + measure : str + A valid metric attribute from the relevant EstimatorResults object. + Dependent on the task, i.e. for classification, "accuracy", "auroc", "balacc", + and regression, "mse", "mae", "r2". + resamples : int or list of int, default=None + The resamples to load. If int, loads resamples 0 to resamples-1. + For 1 or None, only the loaded score is returned. + For 2 or more, the scores of all resamples up to resamples are averaged and + returned. + split : str, default="test" + The split to load results for, appears at the start of the results file name. + Should be one of "train", "test" in most circumstances. + + Returns + ------- + results: 2D numpy array + Array of scores. Each column is a results for an estimator, each row a dataset. + For multiple resamples, these scores are averaged. + dataset_names: list of str + List of dataset names that were retained. + estimator_names: list of str + List of estimator names that were retained. + """ + res_dict = load_estimator_results_to_dict( + load_path, + estimator_names, + dataset_names, + measure, + resamples=resamples, + split=split, + ) + return _results_dict_to_array(res_dict, estimator_names, dataset_names, False) + + +def _results_dict_to_array(results_dict, estimators, datasets, include_missing): + if estimators is None: + estimators = list(results_dict.keys()) + if datasets is None: + datasets = [] + for est in results_dict: + datasets.extend(results_dict[est].keys()) + datasets = set(datasets) + + arr, datasets = _aeon_results_dict_to_array( + results_dict, estimators, datasets, include_missing=include_missing + ) + return arr, datasets, estimators + + +def _load_by_problem_init(type, load_path, estimator_names, dataset_names, resamples): + if isinstance(load_path, str): + load_path = [load_path] + elif not isinstance(load_path, list): + raise TypeError("load_path must be a str or list of str.") + + if isinstance(estimator_names[0], (str, tuple)): + estimator_names = [estimator_names] + elif not isinstance(estimator_names[0], list): + raise TypeError(f"{type}_names must be a str, tuple or list of str or tuple.") + + if isinstance(dataset_names, str): + with open(dataset_names) as f: + dataset_names = f.readlines() + dataset_names = [[d.strip() for d in dataset_names]] * len(load_path) + elif isinstance(dataset_names[0], str): + dataset_names = [dataset_names] * len(load_path) + elif not isinstance(dataset_names[0], list): + raise TypeError("dataset_names must be a str or list of str.") + + if len(load_path) != len(estimator_names) or len(load_path) != len(dataset_names): + raise ValueError( + f"load_path, {type}_names and dataset_names must be the same length." + ) + + if resamples is None: + resamples = [""] + elif isinstance(resamples, int): + resamples = [str(i) for i in range(resamples)] + else: + resamples = [str(resample) for resample in resamples] + + return load_path, estimator_names, dataset_names, resamples + + +def _create_results_dictionary(estimator_results, estimator_names=None): + results_dict = {} + + for i, estimator_result in enumerate(estimator_results): + name = ( + estimator_result.estimator_name + if estimator_names is None + else estimator_names[i] + ) + + if results_dict.get(name) is None: + results_dict[name] = {} + + if results_dict[name].get(estimator_result.dataset_name) is None: + results_dict[name][estimator_result.dataset_name] = {} + + if ( + results_dict[name][estimator_result.dataset_name].get( + estimator_result.split.lower() + ) + is None + ): + results_dict[name][estimator_result.dataset_name][ + estimator_result.split.lower() + ] = {} + + results_dict[name][estimator_result.dataset_name][ + estimator_result.split.lower() + ][estimator_result.resample_id] = estimator_result + + return results_dict diff --git a/tsml_eval/utils/results_repair.py b/tsml_eval/utils/results_repair.py index e3b7a152..4a759eea 100644 --- a/tsml_eval/utils/results_repair.py +++ b/tsml_eval/utils/results_repair.py @@ -1,6 +1,6 @@ """Utility functions for repairing results.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = ["fix_broken_second_line"] import os diff --git a/tsml_eval/utils/results_validation.py b/tsml_eval/utils/results_validation.py index 3b6d6c58..53afc4a5 100644 --- a/tsml_eval/utils/results_validation.py +++ b/tsml_eval/utils/results_validation.py @@ -1,6 +1,6 @@ """Utilities for validating results.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] __all__ = [ "validate_results_file", "compare_result_file_resample", diff --git a/tsml_eval/utils/results_writing.py b/tsml_eval/utils/results_writing.py index 4d7c1d5d..7c4b45e1 100644 --- a/tsml_eval/utils/results_writing.py +++ b/tsml_eval/utils/results_writing.py @@ -1,6 +1,6 @@ """Utility functions for results writing.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] __all__ = [ "write_classification_results", diff --git a/tsml_eval/utils/tests/test_dataset.py b/tsml_eval/utils/tests/test_dataset.py index b1a5f944..d1fe44b5 100644 --- a/tsml_eval/utils/tests/test_dataset.py +++ b/tsml_eval/utils/tests/test_dataset.py @@ -3,7 +3,7 @@ import os import pytest -from aeon.datasets import load_from_tsfile +from aeon.datasets import load_from_ts_file from tsml_eval.datasets._test_data._data_sizes import DATA_TEST_SIZES, DATA_TRAIN_SIZES from tsml_eval.testing.testing_utils import _TEST_DATA_PATH, _TEST_OUTPUT_PATH @@ -73,7 +73,7 @@ def test_save_merged_dataset_splits(save_path): assert os.path.exists(f"{copy_path}/MinimalChinatown/MinimalChinatown_TEST.ts") assert os.path.exists(f"{save_path}/MinimalChinatown/MinimalChinatown.ts") - X, y = load_from_tsfile(f"{save_path}/MinimalChinatown/MinimalChinatown.ts") + X, y = load_from_ts_file(f"{save_path}/MinimalChinatown/MinimalChinatown.ts") new_len = DATA_TRAIN_SIZES["MinimalChinatown"] + DATA_TEST_SIZES["MinimalChinatown"] assert X.shape[0] == new_len diff --git a/tsml_eval/utils/tests/test_estimator_validation.py b/tsml_eval/utils/tests/test_estimator_validation.py index f5e9411a..701418c1 100644 --- a/tsml_eval/utils/tests/test_estimator_validation.py +++ b/tsml_eval/utils/tests/test_estimator_validation.py @@ -1,8 +1,8 @@ """Tests for validation utilities.""" +from aeon.classification.interval_based import TimeSeriesForestClassifier from sklearn.cluster import KMeans from sklearn.dummy import DummyClassifier, DummyRegressor -from tsml.interval_based import TSFClassifier from tsml_eval.utils.estimator_validation import ( is_sklearn_classifier, @@ -15,7 +15,7 @@ def test_is_sklearn_estimator(): """Test is_sklearn_estimator.""" assert is_sklearn_estimator(DummyClassifier()) - assert not is_sklearn_estimator(TSFClassifier()) + assert not is_sklearn_estimator(TimeSeriesForestClassifier()) def test_is_sklearn_classifier(): diff --git a/tsml_eval/utils/tests/test_resampling.py b/tsml_eval/utils/tests/test_resampling.py index 946ab477..6122f5b2 100644 --- a/tsml_eval/utils/tests/test_resampling.py +++ b/tsml_eval/utils/tests/test_resampling.py @@ -1,6 +1,6 @@ """Tests for dataset resampling functions.""" -__author__ = ["TonyBagnall", "MatthewMiddlehurst"] +__maintainer__ = ["TonyBagnall", "MatthewMiddlehurst"] import numpy as np diff --git a/tsml_eval/utils/tests/test_results_loading.py b/tsml_eval/utils/tests/test_results_loading.py new file mode 100644 index 00000000..e1db6f04 --- /dev/null +++ b/tsml_eval/utils/tests/test_results_loading.py @@ -0,0 +1,159 @@ +"""Tests for the results loading utilities.""" + +import numpy as np +import pytest + +from tsml_eval.evaluation.storage import ( + ClassifierResults, + ClustererResults, + ForecasterResults, + RegressorResults, +) +from tsml_eval.testing.testing_utils import _TEST_RESULTS_PATH +from tsml_eval.utils.results_loading import ( + estimator_results_to_array, + estimator_results_to_dict, + load_estimator_results, + load_estimator_results_to_array, + load_estimator_results_to_dict, +) + + +@pytest.mark.parametrize( + "type,path", + [ + ( + ClassifierResults, + _TEST_RESULTS_PATH + + "/classification/ROCKET/Predictions/MinimalChinatown/testResample0.csv", + ), + ( + ClustererResults, + _TEST_RESULTS_PATH + + "/clustering/KMeans/Predictions/MinimalChinatown/trainResample0.csv", + ), + ( + RegressorResults, + _TEST_RESULTS_PATH + + "/regression/ROCKET/Predictions/MinimalGasPrices/testResample0.csv", + ), + ( + ForecasterResults, + _TEST_RESULTS_PATH + + "/forecasting/NaiveForecaster/Predictions/ShampooSales/testResample0.csv", + ), + ], +) +def test_load_estimator_results(type, path): + """Test loading arbitrary estimator results from a file.""" + er = load_estimator_results(path) + assert isinstance(er, type) + + +def test_load_estimator_results_invalid(): + """Test loading invalid estimator results from a file.""" + with pytest.raises(ValueError, match="Unable to determine the type"): + load_estimator_results(_TEST_RESULTS_PATH + "/broken/brokenResultsFile.csv") + + +classifiers = ["ROCKET", "TSF", "1NN-DTW"] +datasets = ["Chinatown", "ItalyPowerDemand", "Trace"] + + +def test_load_estimator_results_to_dict(): + """Test loading results returned in a dict.""" + res = load_estimator_results_to_dict( + _TEST_RESULTS_PATH + "/classification/", + classifiers, + datasets, + "accuracy", + resamples=1, + ) + assert isinstance(res, dict) + assert len(res) == 3 + assert all(len(v) == 3 for v in res.values()) + assert res["ROCKET"]["Chinatown"] == 0.9795918367346939 + + # test resamples + res2 = load_estimator_results_to_dict( + _TEST_RESULTS_PATH + "/classification/", + classifiers, + datasets, + "accuracy", + resamples=3, + ) + assert isinstance(res2, dict) + assert len(res2) == 3 + assert all(len(v) == 3 for v in res2.values()) + assert isinstance(res2["ROCKET"]["Chinatown"], np.ndarray) + assert len(res2["ROCKET"]["Chinatown"]) == 3 + assert res2["ROCKET"]["Chinatown"][0] == 0.9795918367346939 + assert np.average(res2["ROCKET"]["Chinatown"]) == 0.9698736637512148 + + +def test_load_estimator_results_to_array(): + """Test loading results returned in an array.""" + res, data_names, est_names = load_estimator_results_to_array( + _TEST_RESULTS_PATH + "/classification/", + classifiers, + datasets, + "accuracy", + resamples=1, + ) + assert isinstance(res, np.ndarray) + assert res.shape == (3, 3) + assert res[0][0] == 0.9795918367346939 + assert isinstance(data_names, list) and isinstance(est_names, list) + assert data_names == datasets + assert est_names == classifiers + + # test resamples + res2, data_names2, est_names2 = load_estimator_results_to_array( + _TEST_RESULTS_PATH + "/classification/", + classifiers, + datasets, + "accuracy", + resamples=3, + ) + assert isinstance(res2, np.ndarray) + assert res2.shape == (3, 3) + assert res2[0][0] == 0.9698736637512148 + assert isinstance(data_names2, list) and isinstance(est_names2, list) + assert data_names2 == datasets + assert est_names2 == classifiers + + +def test_load_estimator_results_missing(): + """Test loading results with missing results.""" + paths = [ + _TEST_RESULTS_PATH + + "/classification/ROCKET/Predictions/Chinatown/testResample0.csv", + _TEST_RESULTS_PATH + + "/classification/TSF/Predictions/Chinatown/testResample0.csv", + _TEST_RESULTS_PATH + + "/classification/ROCKET/Predictions/Trace/testResample0.csv", + _TEST_RESULTS_PATH + "/classification/TSF/Predictions/Trace/testResample0.csv", + _TEST_RESULTS_PATH + + "/classification/ROCKET/Predictions/ItalyPowerDemand/testResample0.csv", + ] + res_objects = [load_estimator_results(p) for p in paths] + + res_dict = estimator_results_to_dict( + res_objects, + "accuracy", + ) + assert isinstance(res_dict, dict) + assert len(res_dict) == 2 + assert len(res_dict["ROCKET"]) == 3 + assert len(res_dict["TSF"]) == 2 + + res_arr, data_names, est_names = estimator_results_to_array( + res_objects, + "accuracy", + include_missing=True, + ) + assert isinstance(res_arr, np.ndarray) + assert res_arr.shape == (3, 2) + assert np.isnan(res_arr).any() + assert len(data_names) == 3 + assert len(est_names) == 2 diff --git a/tsml_eval/utils/tests/test_results_writing.py b/tsml_eval/utils/tests/test_results_writing.py index 30ffc85e..c3e6f2a2 100644 --- a/tsml_eval/utils/tests/test_results_writing.py +++ b/tsml_eval/utils/tests/test_results_writing.py @@ -1,6 +1,6 @@ """Tests for results writing functions.""" -__author__ = ["MatthewMiddlehurst"] +__maintainer__ = ["MatthewMiddlehurst"] import os