diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
new file mode 100644
index 0000000..c33692d
--- /dev/null
+++ b/.devcontainer/Dockerfile
@@ -0,0 +1,47 @@
+FROM mcr.microsoft.com/devcontainers/python:1-3.9-bullseye
+
+# Set up zsh
+RUN apt-get update && \
+ apt-get install -y zsh curl fonts-powerline fonts-firacode \
+ && chsh -s /usr/bin/zsh
+
+# Install Meslo Nerd Font
+RUN mkdir -p /usr/share/fonts/truetype/meslo \
+ && curl -sSL -o /usr/share/fonts/truetype/meslo/MesloLGS_NF-Regular.ttf https://github.com/romkatv/powerlevel10k-media/raw/master/MesloLGS%20NF%20Regular.ttf \
+ && curl -sSL -o /usr/share/fonts/truetype/meslo/MesloLGS_NF-Bold.ttf https://github.com/romkatv/powerlevel10k-media/raw/master/MesloLGS%20NF%20Bold.ttf \
+ && curl -sSL -o /usr/share/fonts/truetype/meslo/MesloLGS_NF-Italic.ttf https://github.com/romkatv/powerlevel10k-media/raw/master/MesloLGS%20NF%20Italic.ttf \
+ && curl -sSL -o /usr/share/fonts/truetype/meslo/MesloLGS_NF-BoldItalic.ttf https://github.com/romkatv/powerlevel10k-media/raw/master/MesloLGS%20NF%20Bold%20Italic.ttf \
+ && fc-cache -f -v
+
+# Set up Oh-my-Zsh
+ENV ZSH="${HOME}/.oh-my-zsh"
+RUN rm -rf ${ZSH}
+RUN sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"
+RUN sed -i 's/ZSH_THEME=.*/ZSH_THEME="powerlevel10k\/powerlevel10k"/' ${HOME}/.zshrc
+
+# Install Powerlevel10k theme
+RUN git clone --depth=1 https://github.com/romkatv/powerlevel10k.git $ZSH/themes/powerlevel10k
+
+# Install zsh-autosuggestions
+RUN git clone --depth=1 https://github.com/zsh-users/zsh-autosuggestions.git $ZSH/plugins/zsh-autosuggestions
+
+# Install zsh-completions
+RUN git clone --depth=1 https://github.com/zsh-users/zsh-completions.git $ZSH/plugins/zsh-completions
+
+# Install zsh-syntax-highlighting
+RUN git clone --depth=1 https://github.com/zsh-users/zsh-syntax-highlighting.git $ZSH/plugins/zsh-syntax-highlighting
+
+# Install additional plugins
+RUN sed -i 's/^plugins=(\(.*\))/plugins=(git poetry docker zsh-autosuggestions zsh-completions zsh-syntax-highlighting)/' ${HOME}/.zshrc
+
+# Set up Poetry
+ENV PATH="${HOME}/.poetry/bin:${PATH}"
+ENV POETRY_HOME=${HOME}/.poetry
+ENV POETRY_NO_INTERACTION=1
+ENV POETRY_VIRTUALENVS_CREATE=0
+ENV POETRY_VERSION=1.2.2
+RUN curl -sSL https://install.python-poetry.org | python -
+RUN mkdir -p ${HOME}/.cache/pypoetry/virtualenvs
+RUN touch ${HOME}/.cache/pypoetry/virtualenvs/envs.toml
+
+RUN mkdir /workspaces
diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
new file mode 100644
index 0000000..2947782
--- /dev/null
+++ b/.devcontainer/devcontainer.json
@@ -0,0 +1,83 @@
+{
+ "build": {
+ "dockerfile": "./Dockerfile"
+ },
+ "customizations": {
+ "vscode": {
+ "extensions": [
+ "ms-python.python",
+ "ms-python.vscode-pylance",
+ "ms-python.mypy-type-checker",
+ "ms-python.black-formatter",
+ "ms-python.isort",
+ "charliermarsh.ruff",
+ "njpwerner.autodocstring",
+ "teabyii.ayu",
+ "PKief.material-icon-theme",
+ "aaron-bond.better-comments",
+ "alefragnani.Bookmarks",
+ "streetsidesoftware.code-spell-checker",
+ "yzhang.markdown-all-in-one",
+ "davidanson.vscode-markdownlint",
+ "wayou.vscode-todo-highlight",
+ "editorconfig.editorconfig",
+ "christian-kohler.path-intellisense",
+ "eamodio.gitlens",
+ "bungcip.better-toml",
+ "redhat.vscode-yaml",
+ "almenon.arepl",
+ "ms-azuretools.vscode-docker"
+ ],
+ "settings": {
+ "git.confirmForcePush": false,
+ "git.autofetch": true,
+ "git.allowForcePush": true,
+ "python.formatting.provider": "black",
+ "python.defaultInterpreterPath": "/usr/local/bin/python",
+ "python.terminal.activateEnvironment": false,
+ "python.languageServer": "Pylance",
+ "python.linting.enabled": true,
+ "python.linting.mypyEnabled": true,
+ "python.analysis.enabled": true,
+ "[python]": {
+ "editor.formatOnType": true,
+ "editor.defaultFormatter": "ms-python.black-formatter"
+ },
+ "files.autoSave": "afterDelay",
+ "files.trimTrailingWhitespace": true,
+ "files.trimFinalNewlines": true,
+ "terminal.integrated.fontSize": 17,
+ "terminal.integrated.defaultProfile.linux": "zsh",
+ "terminal.integrated.profiles.linux": {
+ "zsh": {
+ "path": "/usr/bin/zsh",
+ "icon": "terminal",
+ "env": {}
+ }
+ },
+ "terminal.integrated.cursorBlinking": true,
+ "terminal.integrated.cursorStyle": "line",
+ "editor.cursorBlinking": "smooth",
+ "editor.fontSize": 17,
+ "editor.formatOnPaste": true,
+ "editor.fontFamily": "'Fira Code', 'Source Code Pro', Consolas, 'Courier New', monospace",
+ "editor.suggestSelection": "first",
+ "editor.fontLigatures": true,
+ "editor.guides.indentation": true
+ }
+ }
+ },
+ "features": {
+ "ghcr.io/devcontainers/features/github-cli": {},
+ "ghcr.io/devcontainers/features/docker-in-docker": {
+ "version": "latest",
+ "moby": true,
+ "dockerDashComposeVersion": "v1"
+ }
+ },
+ "postCreateCommand": "poetry install && poetry run pre-commit install --install-hooks",
+ "forwardPorts": [
+ 8000
+ ],
+ "remoteUser": "root"
+}
diff --git a/.editorconfig b/.editorconfig
new file mode 100644
index 0000000..c8d75e2
--- /dev/null
+++ b/.editorconfig
@@ -0,0 +1,35 @@
+# http://editorconfig.org
+
+root = true
+
+[*]
+indent_style = space
+indent_size = 4
+trim_trailing_whitespace = true
+insert_final_newline = true
+charset = utf-8
+end_of_line = lf
+
+[*.py]
+max_line_length = 99
+
+[*.json]
+indent_size = 2
+
+[*.yml]
+indent_size = 2
+
+[*.yaml]
+indent_size = 2
+
+[*.toml]
+indent_size = 2
+
+[*.md]
+indent_size = unset
+
+[*.txt]
+indent_size = unset
+
+[.all-contributorsrc]
+indent_size = unset
diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS
new file mode 100644
index 0000000..bc6a4be
--- /dev/null
+++ b/.github/CODEOWNERS
@@ -0,0 +1,4 @@
+# This CODEOWNERS file is only to make sure that @billsioros is requested
+# for a code review in case of a pull request.
+
+* @billsioros
diff --git a/.github/FUNDING.yml b/.github/FUNDING.yml
new file mode 100644
index 0000000..68446ca
--- /dev/null
+++ b/.github/FUNDING.yml
@@ -0,0 +1 @@
+custom: ['https://www.buymeacoffee.com/billsioros']
diff --git a/.github/ISSUE_TEMPLATE/bug_report.yaml b/.github/ISSUE_TEMPLATE/bug_report.yaml
new file mode 100644
index 0000000..18ce780
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.yaml
@@ -0,0 +1,80 @@
+name: đ Bug Report
+description: Did you find a bug?
+title: "đ "
+labels: [":bug: bug"]
+assignees:
+ - billsioros
+body:
+ - type: textarea
+ id: what-happened
+ attributes:
+ label: What happened?
+ description: Also tell us, what did you expect to happen?
+ placeholder: Describe the problem!
+ validations:
+ required: true
+ - type: textarea
+ id: reproduction-steps
+ attributes:
+ label: How can we reproduce the bug?
+ description: Please provide the reproduction steps corresponding to the bug.
+ placeholder: Provide us with some python code!
+ value: |
+ from roughgan import roughgan
+ render: python
+ validations:
+ required: true
+ - type: textarea
+ id: stack-trace
+ attributes:
+ label: Relevant stack trace
+ description: Please provide us with the program's stack trace, if appropriate.
+ render: shell
+ - type: dropdown
+ id: operating-system
+ attributes:
+ label: Operating System (OS)
+ multiple: true
+ description: In what OS(s) does the problem occur?
+ options:
+ - macOS
+ - Windows
+ - Linux
+ validations:
+ required: true
+ - type: dropdown
+ id: python-version
+ attributes:
+ label: Python version
+ multiple: true
+ description: In what python version(s) does the problem occur?
+ options:
+ - 3.7
+ - 3.8
+ - 3.9
+ validations:
+ required: true
+ - type: checkboxes
+ id: duplicate-issue
+ attributes:
+ label: Is this a duplicate issue?
+ description: By submitting this issue, you confirm that you have made sure that this is not a duplicate issue
+ options:
+ - label: I confirm that this is not a duplicate issue
+ required: true
+ - type: checkboxes
+ id: latest-version
+ attributes:
+ label: Have you upgraded to the latest version?
+ description: By submitting this issue, you confirm that you have already upgraded to the latest version
+ options:
+ - label: I confirm that I have upgraded to the latest version
+ required: true
+ - type: checkboxes
+ id: code-of-conduct
+ attributes:
+ label: Code of Conduct
+ description: By submitting this issue, you agree to follow our [Code of Conduct](https://billsioros.github.io/RoughGAN/latest/CODE_OF_CONDUCT/)
+ options:
+ - label: I agree to follow this project's Code of Conduct
+ required: true
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 0000000..a5ee4c2
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+ - name: Q&A
+ url: https://github.com/billsioros/RoughGAN/discussions/categories/q-a
+ about: Please ask and answer questions here.
diff --git a/.github/ISSUE_TEMPLATE/docs.yaml b/.github/ISSUE_TEMPLATE/docs.yaml
new file mode 100644
index 0000000..7f18fb3
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/docs.yaml
@@ -0,0 +1,31 @@
+name: đ Documentation
+description: Suggest a change regarding this project's documentation
+title: "đ "
+labels: [":memo: documentation"]
+assignees:
+ - billsioros
+body:
+ - type: textarea
+ id: change-description
+ attributes:
+ label: What should be changed in the documentation?
+ description: Describe what you would like to see documented!
+ placeholder: Please describe what should be added to, changed in or removed from the documentation, as well as the reasoning behind the proposed change.
+ validations:
+ required: true
+ - type: checkboxes
+ id: duplicate-issue
+ attributes:
+ label: Is this a duplicate issue?
+ description: By submitting this issue, you confirm that you have made sure that this is not a duplicate issue
+ options:
+ - label: I confirm that this is not a duplicate issue
+ required: true
+ - type: checkboxes
+ id: code-of-conduct
+ attributes:
+ label: Code of Conduct
+ description: By submitting this issue, you agree to follow our [Code of Conduct](https://billsioros.github.io/RoughGAN/latest/CODE_OF_CONDUCT/)
+ options:
+ - label: I agree to follow this project's Code of Conduct
+ required: true
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yaml b/.github/ISSUE_TEMPLATE/feature_request.yaml
new file mode 100644
index 0000000..b89f2b8
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.yaml
@@ -0,0 +1,31 @@
+name: đ Feature Request
+description: Suggest a feature or improvement
+title: "đ "
+labels: [":bulb: feature request"]
+assignees:
+ - billsioros
+body:
+ - type: textarea
+ id: change-description
+ attributes:
+ label: What would you like to be implemented?
+ description: Describe what you would like to see implemented!
+ placeholder: Please provide a concise description of the feature you want implemented, as well as the reasoning behind it.
+ validations:
+ required: true
+ - type: checkboxes
+ id: duplicate-issue
+ attributes:
+ label: Is this a duplicate issue?
+ description: By submitting this issue, you confirm that you have made sure that this is not a duplicate issue
+ options:
+ - label: I confirm that this is not a duplicate issue
+ required: true
+ - type: checkboxes
+ id: code-of-conduct
+ attributes:
+ label: Code of Conduct
+ description: By submitting this issue, you agree to follow our [Code of Conduct](https://billsioros.github.io/RoughGAN/latest/CODE_OF_CONDUCT/)
+ options:
+ - label: I agree to follow this project's Code of Conduct
+ required: true
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 0000000..4c1e18f
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,18 @@
+## Description
+
+
+
+
+
+- [ ] I have updated the documentation accordingly.
+- [ ] I have added tests to cover my changes.
+
+---
+
+## Related Issue
+
+
+
+
+
+Closes #issue-number-here.
diff --git a/.github/SECURITY.md b/.github/SECURITY.md
new file mode 100644
index 0000000..6a865ad
--- /dev/null
+++ b/.github/SECURITY.md
@@ -0,0 +1,12 @@
+# Security Policy
+
+If you believe you have identified a security issue, **do not open a public issue**. To report a security issue, please contact billsioros97@gmail.com.
+
+Be sure to include as much detail as necessary in your report. As with
+reporting normal issues, a minimal reproducible example will help the
+maintainers address the issue faster. If you are willing, you may also
+include a fix for the issue generated with `git format-patch`. You may
+include a name and link, if you would like to be credited for the report.
+
+After fixing the issue, we will make a security release along with an
+announcement on [GitHub Discussions](https://github.com/billsioros/RoughGAN/discussions).
diff --git a/.github/label-commenter-config.yml b/.github/label-commenter-config.yml
new file mode 100644
index 0000000..3d04b70
--- /dev/null
+++ b/.github/label-commenter-config.yml
@@ -0,0 +1,83 @@
+# For more info visit https://github.com/peaceiris/actions-label-commenter
+
+comment:
+ header: "Hello there :robot:"
+ footer: "---\n\n> This is an automated comment created by the [peaceiris/actions-label-commenter]. Responding to the bot or mentioning it won't have any effect.\n\n[peaceiris/actions-label-commenter]: https://github.com/peaceiris/actions-label-commenter"
+labels:
+ - name: ":no_entry_sign: invalid"
+ labeled:
+ issue:
+ body: Thank you @{{ issue.user.login }} for reporting this issue! Please follow the issue templates, as well as the [Contributing Guidelines](https://github.com/billsioros/RoughGAN/blob/master/docs/CONTRIBUTING.md).
+ action: close
+ pr:
+ body: Thank you @{{ pull_request.user.login }} for suggesting this. Please follow the pull request templates, as well as the [Contributing Guidelines](https://github.com/billsioros/RoughGAN/blob/master/docs/CONTRIBUTING.md).
+ action: close
+ unlabeled:
+ issue:
+ body: Thank you for following the template. The repository owner will reply.
+ action: open
+ - name: ":coffin: wontfix"
+ labeled:
+ issue:
+ body: This issue will not be worked on for the time being, but we appreciate your contribution!
+ action: close
+ unlabeled:
+ issue:
+ body: This has become active again.
+ action: open
+ - name: ":busts_in_silhouette: duplicate"
+ labeled:
+ issue:
+ body: This issue has already been reported.
+ action: close
+ - name: ':lock: locked:spam'
+ labeled:
+ issue:
+ body: |
+ This issue has been **LOCKED** because of spam!
+
+ Please do not spam messages and/or issues on the issue tracker. You may get blocked from this repository for doing so.
+ action: close
+ locking: lock
+ lock_reason: spam
+ pr:
+ body: |
+ This pull-request has been **LOCKED** because of spam!
+
+ Please do not spam messages and/or pull-requests on this project. You may get blocked from this repository for doing so.
+ action: close
+ locking: lock
+ lock_reason: spam
+ - name: ':lock: locked:heated'
+ labeled:
+ issue:
+ body: |
+ This issue has been **LOCKED** because of heated conversation!
+
+ We appreciate exciting conversations, as long as they won't become too aggressive and/or emotional.
+ locking: lock
+ lock_reason: too heated
+ pr:
+ body: |
+ This pull-request has been **LOCKED** because of heated conversation!
+
+ We appreciate exciting conversations, as long as they won't become too aggressive and/or emotional.
+ locking: lock
+ lock_reason: too heated
+ unlabeled:
+ issue:
+ body: |
+ This issue has been unlocked now.
+ locking: unlock
+ pr:
+ body: |
+ This pull-request has been unlocked now.
+ locking: unlock
+ - name: ':lock: locked:off-topic'
+ labeled:
+ issue:
+ body: |
+ This issue has been **LOCKED** because it was considered off-topic.
+
+ Please refrain from submitting issues solely for questions you might have. Instead refer to the project's [discussion page](https://github.com/billsioros/RoughGAN/discussions/categories/q-a).
+ action: close
diff --git a/.github/labels.yml b/.github/labels.yml
new file mode 100644
index 0000000..28b3eca
--- /dev/null
+++ b/.github/labels.yml
@@ -0,0 +1,50 @@
+# For more info visit https://github.com/crazy-max/ghaction-github-labeler
+
+- name: ":bug: bug"
+ color: "b60205"
+ description: "Something isn't working"
+- name: ":game_die: dependencies"
+ color: "0366d6"
+ description: "Working on dependencies"
+- name: ":memo: documentation"
+ color: "c5def5"
+ description: "Improvements or additions to documentation"
+- name: ":busts_in_silhouette: duplicate"
+ color: "cccccc"
+ description: "This issue or pull request already exists"
+- name: ":sparkles: enhancement"
+ color: "0054ca"
+ description: "An enhancement on an existing feature"
+- name: ":bulb: feature request"
+ color: "0e8a16"
+ description: "New feature request"
+- name: ":hatching_chick: good first issue"
+ color: "7057ff"
+ description: "Good for newcomers"
+- name: ":pray: help wanted"
+ color: "4caf50"
+ description: "Extra attention is needed"
+- name: ":thinking: needs more info"
+ color: "795548"
+ description: "This requires a bit more explanation"
+- name: ":pushpin: pinned"
+ color: "28008e"
+ description: "This is important"
+- name: ":skull: stale"
+ color: "237da0"
+ description: "This had no recent activity"
+- name: ":coffin: wontfix"
+ color: "ffffff"
+ description: "This will not be worked on"
+- name: ":no_entry_sign: invalid"
+ color: "e6e6e6"
+ description: "This doesn't seem right"
+- name: ":lock: locked:spam"
+ color: "fce303"
+ description: "This issue has been locked"
+- name: ":lock: locked:heated"
+ color: "fce303"
+ description: "This issue has been locked"
+- name: ":lock: locked:off-topic"
+ color: "fce303"
+ description: "This issue has been locked"
diff --git a/.github/renovate.json b/.github/renovate.json
new file mode 100644
index 0000000..0035964
--- /dev/null
+++ b/.github/renovate.json
@@ -0,0 +1,32 @@
+{
+ "labels": [
+ ":game_die: dependencies"
+ ],
+ "extends": [
+ "config:base",
+ "schedule:nonOfficeHours"
+ ],
+ "packageRules": [
+ {
+ "matchUpdateTypes": [
+ "minor",
+ "patch",
+ "pin",
+ "digest"
+ ],
+ "autoApprove": true,
+ "automerge": true
+ },
+ {
+ "matchDepTypes": [
+ "devDependencies"
+ ],
+ "autoApprove": true,
+ "automerge": true
+ }
+ ],
+ "assigneesFromCodeOwners": true,
+ "vulnerabilityAlerts": {
+ "enabled": true
+ }
+}
diff --git a/.github/workflows/auto-approve.yml b/.github/workflows/auto-approve.yml
new file mode 100644
index 0000000..f7f6ee4
--- /dev/null
+++ b/.github/workflows/auto-approve.yml
@@ -0,0 +1,29 @@
+name: Auto approve
+on: pull_request_target
+jobs:
+ auto-approve:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: hmarr/auto-approve-action@v2
+ if: |
+ (
+ github.event.pull_request.user.login == 'dependabot[bot]' ||
+ github.event.pull_request.user.login == 'dependabot' ||
+ github.event.pull_request.user.login == 'dependabot-preview[bot]' ||
+ github.event.pull_request.user.login == 'dependabot-preview' ||
+ github.event.pull_request.user.login == 'renovate[bot]' ||
+ github.event.pull_request.user.login == 'renovate' ||
+ github.event.pull_request.user.login == 'github-actions[bot]'
+ )
+ &&
+ (
+ github.actor == 'dependabot[bot]' ||
+ github.actor == 'dependabot' ||
+ github.actor == 'dependabot-preview[bot]' ||
+ github.actor == 'dependabot-preview' ||
+ github.actor == 'renovate[bot]' ||
+ github.actor == 'renovate' ||
+ github.actor == 'github-actions[bot]'
+ )
+ with:
+ github-token: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/auto-merge.yml b/.github/workflows/auto-merge.yml
new file mode 100644
index 0000000..f710c34
--- /dev/null
+++ b/.github/workflows/auto-merge.yml
@@ -0,0 +1,25 @@
+name: automerge
+on:
+ check_suite:
+ types:
+ - completed
+jobs:
+ automerge:
+ runs-on: ubuntu-latest
+ if: |
+ github.actor == 'dependabot[bot]' ||
+ github.actor == 'dependabot' ||
+ github.actor == 'dependabot-preview[bot]' ||
+ github.actor == 'dependabot-preview' ||
+ github.actor == 'renovate[bot]' ||
+ github.actor == 'renovate'
+ steps:
+ - name: automerge
+ uses: pascalgn/automerge-action@v0.15.6
+ env:
+ GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+ MERGE_METHOD: "rebase"
+ UPDATE_METHOD: "rebase"
+ MERGE_RETRIES: "6"
+ MERGE_RETRY_SLEEP: "100000"
+ MERGE_LABELS: ""
diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
new file mode 100644
index 0000000..5164251
--- /dev/null
+++ b/.github/workflows/cd.yml
@@ -0,0 +1,59 @@
+name: CD
+on:
+ pull_request:
+ branches:
+ - master
+ types:
+ - closed
+jobs:
+ publish:
+ runs-on: ubuntu-latest
+ if: github.event.pull_request.merged == true
+ steps:
+ - uses: actions/checkout@v2
+ with:
+ fetch-depth: 0
+ - uses: relekang/python-semantic-release@v7.33.5
+ with:
+ github_token: ${{ secrets.GITHUB_TOKEN }}
+ pypi_token: ${{ secrets.PYPI_TOKEN }}
+ - name: Setup Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: 3.9
+ - name: Install Poetry
+ uses: abatilo/actions-poetry@v2.3.0
+ with:
+ poetry-version: 1.2.2
+ - name: Configure Poetry
+ run: |
+ poetry config virtualenvs.in-project true
+ - name: Set up cache
+ uses: actions/cache@v2.1.6
+ with:
+ path: .venv
+ key: venv-${{ hashFiles('**/poetry.lock') }}
+ - name: Install dependencies
+ run: |
+ poetry install
+ - name: Get the release version
+ run: |
+ export RELEASE_TAG_VERSION="$( poetry run semantic-release print-version --current )"
+ echo "RELEASE_TAG_VERSION=${RELEASE_TAG_VERSION}" >> $GITHUB_ENV
+ - name: Publish to GitHub packages
+ uses: whoan/docker-build-with-cache-action@v5
+ with:
+ registry: docker.pkg.github.com
+ username: ${{ github.actor }}
+ password: ${{ secrets.GITHUB_TOKEN }}
+ image_name: ${{ github.repository }}/roughgan
+ image_tag: ${{ env.RELEASE_TAG_VERSION }},latest
+ context: ./docker/
+ - name: Configure git
+ run: |
+ git config --global user.name Docs deploy
+ git config --global user.email docs@dummy.bot.com
+ - name: Publish the documentation
+ run: |
+ poetry run mike deploy --push --update-aliases ${RELEASE_TAG_VERSION} latest
+ poetry run mike set-default --push latest
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..0010a92
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,44 @@
+name: CI
+on:
+ push:
+ branches: [master]
+ paths:
+ - 'src/**/*.py'
+ - 'tests/**/*.py'
+ - 'pyproject.toml'
+ pull_request:
+ branches: [master]
+ paths:
+ - 'src/**/*.py'
+ - 'tests/**/*.py'
+ - 'pyproject.toml'
+jobs:
+ test:
+ runs-on: ${{ matrix.platform }}
+ strategy:
+ matrix:
+ platform: [ubuntu-latest, macos-latest, windows-latest]
+ python-version: [3.7, 3.8, 3.9, 3.10, 3.11]
+ steps:
+ - uses: actions/checkout@v3
+ - name: Set up Python
+ uses: actions/setup-python@v4
+ with:
+ python-version: 3.9
+ - name: Install Poetry
+ uses: abatilo/actions-poetry@v2.3.0
+ with:
+ poetry-version: 1.2.2
+ - name: Configure Poetry
+ run: |
+ poetry config virtualenvs.in-project true
+ - name: Set up cache
+ uses: actions/cache@v3.3.1
+ with:
+ path: .venv
+ key: venv-${{ runner.os }}-${{ matrix.platform }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }}
+ - name: Install dependencies
+ run: |
+ poetry install
+ - name: Run the test suite
+ run: poetry run pytest
diff --git a/.github/workflows/codecov.yml b/.github/workflows/codecov.yml
new file mode 100644
index 0000000..266a1e9
--- /dev/null
+++ b/.github/workflows/codecov.yml
@@ -0,0 +1,36 @@
+name: Code Coverage
+on:
+ push:
+ paths:
+ - 'src/**/*.py'
+ - 'tests/**/*.py'
+ - 'pyproject.toml'
+jobs:
+ codecov:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v2
+ - name: Set up Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: 3.9
+ - name: Install Poetry
+ uses: abatilo/actions-poetry@v2.3.0
+ with:
+ poetry-version: 1.2.2
+ - name: Configure Poetry
+ run: |
+ poetry config virtualenvs.in-project true
+ - name: Set up cache
+ uses: actions/cache@v2.1.6
+ with:
+ path: .venv
+ key: venv-${{ hashFiles('**/poetry.lock') }}
+ - name: Install dependencies
+ run: |
+ poetry install
+ - name: Generate the coverage report
+ run: |
+ poetry run python -m pytest -p no:sugar --cov=./src/roughgan --cov-report=xml
+ - name: Upload coverage report
+ uses: codecov/codecov-action@v3
diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml
new file mode 100644
index 0000000..1f3ac9e
--- /dev/null
+++ b/.github/workflows/codeql-analysis.yml
@@ -0,0 +1,47 @@
+# For most projects, this workflow file will not need changing; you simply need
+# to commit it to your repository.
+#
+# You may wish to alter this file to override the set of languages analyzed,
+# or to provide custom queries or build logic.
+name: "CodeQL"
+on:
+ push:
+ branches: [master]
+ paths:
+ - 'src/**/*.py'
+ - 'pyproject.toml'
+ pull_request:
+ # The branches below must be a subset of the branches above
+ branches: [master]
+ paths:
+ - 'src/**/*.py'
+ - 'pyproject.toml'
+ schedule:
+ - cron: "0 23 * * *"
+jobs:
+ analyze:
+ name: Analyze
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout the repository
+ uses: actions/checkout@v2
+ # Initializes the CodeQL tools for scanning.
+ - name: Initialize CodeQL
+ uses: github/codeql-action/init@v1
+ with:
+ languages: "python"
+ # If you wish to specify custom queries, you can do so here or in a config file.
+ # By default, queries listed here will override any specified in a config file.
+ # Prefix the list here with "+" to use these queries and those in the config file.
+ # queries: ./path/to/local/query, your-org/your-repo/queries@main
+ #- run: |
+ # make bootstrap
+ # make release
+ - name: Perform CodeQL Analysis
+ # âšī¸ Command-line programs to run using the OS shell.
+ # đ https://git.io/JvXDl
+
+ # âī¸ If the Autobuild fails above, remove it and uncomment the following three lines
+ # and modify them (or add more) to build your code if your project
+ # uses a compiled language
+ uses: github/codeql-action/analyze@v1
diff --git a/.github/workflows/fossa.yml b/.github/workflows/fossa.yml
new file mode 100644
index 0000000..916784a
--- /dev/null
+++ b/.github/workflows/fossa.yml
@@ -0,0 +1,14 @@
+name: FOSSA License Scanning
+on:
+ - pull_request
+ - push
+jobs:
+ scan-license:
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout code
+ uses: actions/checkout@v2
+ - name: Run FOSSA scan and upload build data
+ uses: fossa-contrib/fossa-action@v1
+ with:
+ fossa-api-key: ${{ secrets.FOSSA_TOKEN }}
diff --git a/.github/workflows/greetings.yml b/.github/workflows/greetings.yml
new file mode 100644
index 0000000..10d9654
--- /dev/null
+++ b/.github/workflows/greetings.yml
@@ -0,0 +1,11 @@
+name: Greetings
+on: [issues]
+jobs:
+ greeting:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/first-interaction@v1
+ with:
+ repo-token: ${{ secrets.GITHUB_TOKEN }}
+ issue-message: "Thank you for contributing to **RoughGAN**! Please remember to reference our [Contributing Guidelines](https://github.com/billsioros/RoughGAN/blob/master/docs/CONTRIBUTING.md)."
+ pr-message: "Thank you for contributing to **RoughGAN**! Please remember to reference our [Contributing Guidelines](https://github.com/billsioros/RoughGAN/blob/master/docs/CONTRIBUTING.md)."
diff --git a/.github/workflows/label-commenter.yml b/.github/workflows/label-commenter.yml
new file mode 100644
index 0000000..c3e4649
--- /dev/null
+++ b/.github/workflows/label-commenter.yml
@@ -0,0 +1,21 @@
+name: Label Commenter
+on:
+ issues:
+ types:
+ - labeled
+ - unlabeled
+ pull_request_target:
+ types:
+ - labeled
+ - unlabeled
+permissions:
+ contents: read
+ issues: write
+ pull-requests: write
+jobs:
+ comment:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v2
+ - name: Label Commenter
+ uses: peaceiris/actions-label-commenter@v1
diff --git a/.github/workflows/labels.yml b/.github/workflows/labels.yml
new file mode 100644
index 0000000..0addc15
--- /dev/null
+++ b/.github/workflows/labels.yml
@@ -0,0 +1,15 @@
+name: Labels
+on:
+ push:
+ branches: [master]
+ paths:
+ - '.github/labels.yml'
+ - '.github/workflows/labels.yml'
+jobs:
+ labeler:
+ runs-on: ubuntu-latest
+ steps:
+ - name: Checkout
+ uses: actions/checkout@v2
+ - name: Run Labeler
+ uses: crazy-max/ghaction-github-labeler@v3.1.1
diff --git a/.github/workflows/license.yml b/.github/workflows/license.yml
index 265a599..bcf65a7 100644
--- a/.github/workflows/license.yml
+++ b/.github/workflows/license.yml
@@ -1,16 +1,14 @@
name: Update copyright year(s) in license file
-
on:
schedule:
- cron: "0 3 1 1 *"
-
jobs:
run:
runs-on: ubuntu-latest
steps:
- - uses: actions/checkout@v2
- with:
- fetch-depth: 0
- - uses: FantasticFiasco/action-update-license-year@v2
- with:
- token: ${{ secrets.GITHUB_TOKEN }}
+ - uses: actions/checkout@v2
+ with:
+ fetch-depth: 0
+ - uses: FantasticFiasco/action-update-license-year@v2
+ with:
+ token: ${{ secrets.GITHUB_TOKEN }}
diff --git a/.github/workflows/misspell.yml b/.github/workflows/misspell.yml
new file mode 100644
index 0000000..de0d808
--- /dev/null
+++ b/.github/workflows/misspell.yml
@@ -0,0 +1,16 @@
+name: Misspell
+on:
+ workflow_dispatch:
+ schedule:
+ - cron: "0 23 * * *"
+jobs:
+ build:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v2
+ - uses: sobolevn/misspell-fixer-action@0.1.0
+ - uses: peter-evans/create-pull-request@v3
+ with:
+ token: ${{ secrets.GITHUB_TOKEN }}
+ commit-message: 'chore: correct typos `[misspell-fixer]`'
+ title: 'Fixing typos (misspell-fixer)'
diff --git a/.github/workflows/pre-commit.yml b/.github/workflows/pre-commit.yml
deleted file mode 100644
index 56cc4e6..0000000
--- a/.github/workflows/pre-commit.yml
+++ /dev/null
@@ -1,13 +0,0 @@
-name: pre-commit
-
-on:
- pull_request:
- push:
-
-jobs:
- pre-commit:
- runs-on: ubuntu-latest
- steps:
- - uses: actions/checkout@v2
- - uses: actions/setup-python@v2
- - uses: pre-commit/action@v2.0.3
diff --git a/.github/workflows/preview-docs.yml b/.github/workflows/preview-docs.yml
new file mode 100644
index 0000000..2566335
--- /dev/null
+++ b/.github/workflows/preview-docs.yml
@@ -0,0 +1,42 @@
+name: Preview Docs
+on:
+ pull_request:
+ branches:
+ - master
+ types: [opened, synchronize, reopened, closed]
+ paths:
+ - 'src/**/*.py'
+ - 'docs/**'
+ - '*.md'
+jobs:
+ preview:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/checkout@v2
+ - name: Setup Python
+ uses: actions/setup-python@v2
+ with:
+ python-version: 3.9
+ - name: Install Poetry
+ uses: abatilo/actions-poetry@v2.3.0
+ with:
+ poetry-version: 1.2.2
+ - name: Configure Poetry
+ run: |
+ poetry config virtualenvs.in-project true
+ - name: Set up cache
+ uses: actions/cache@v2.1.6
+ with:
+ path: .venv
+ key: venv-${{ hashFiles('**/poetry.lock') }}
+ - name: Install dependencies
+ run: |
+ poetry install
+ - uses: afc163/surge-preview@v1
+ with:
+ surge_token: ${{ secrets.SURGE_TOKEN }}
+ github_token: ${{ secrets.GITHUB_TOKEN }}
+ dist: site
+ teardown: 'true'
+ build: |
+ poetry run mkdocs build
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
deleted file mode 100644
index e00c408..0000000
--- a/.github/workflows/publish.yml
+++ /dev/null
@@ -1,24 +0,0 @@
-name: Publish
-
-on:
- push:
- branches:
- - master
-
-jobs:
- publish:
- name: Create a GitHub Release & Upload to PyPI
- runs-on: ubuntu-latest
- steps:
- - uses: actions/checkout@v2
- with:
- fetch-depth: 0
-
- - uses: actions/setup-python@v2
- with:
- python-version: 3.8
-
- - uses: relekang/python-semantic-release@v7.16.1
- with:
- github_token: ${{ secrets.GITHUB_TOKEN }}
- pypi_token: ${{ secrets.PYPI_TOKEN }}
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml
new file mode 100644
index 0000000..4e63fe1
--- /dev/null
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,24 @@
+name: 'Close stale issues and PRs'
+on:
+ schedule:
+ - cron: '30 1 * * *'
+permissions:
+ contents: write
+ issues: write
+ pull-requests: write
+jobs:
+ stale:
+ runs-on: ubuntu-latest
+ steps:
+ - uses: actions/stale@v8
+ with:
+ days-before-stale: 7
+ days-before-close: 7
+ exempt-issue-labels: ':pushpin: pinned'
+ exempt-pr-labels: ':pushpin: pinned'
+ stale-issue-label: ':skull: stale'
+ stale-pr-label: ':skull: stale'
+ stale-issue-message: 'This issue has been marked stale, as it had no activity in the last 7 days. If the issue remains stale for an additional 7 days (a total of two weeks with no activity), it will be automatically closed.'
+ stale-pr-message: 'This issue has been marked stale, as it had no activity in the last 7 days. If the issue remains stale for an additional 7 days (a total of two weeks with no activity), it will be automatically closed.'
+ close-issue-message: 'Closing the issue due to inactivity.'
+ close-pr-message: 'Closing the issue due to inactivity.'
diff --git a/.gitignore b/.gitignore
index baf675c..364d759 100644
--- a/.gitignore
+++ b/.gitignore
@@ -97,7 +97,7 @@ ipython_config.py
#Pipfile.lock
# poetry
-#poetry.lock
+# poetry.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
@@ -142,22 +142,11 @@ dmypy.json
.pytype/
# operating system-related files
-# file properties cache/storage on macOS
-*.DS_Store
-# thumbnail cache on Windows
-Thumbs.db
+*.DS_Store #file properties cache/storage on macOS
+Thumbs.db #thumbnail cache on Windows
# profiling data
.prof
# End of https://www.toptal.com/developers/gitignore/api/python
-
-.vscode
-surfaces/
-ray_results/
-*.csv
-*.pkl
-*.pt
-*.png
-*.mp4
diff --git a/.gitmodules b/.gitmodules
new file mode 100644
index 0000000..38b1871
--- /dev/null
+++ b/.gitmodules
@@ -0,0 +1,3 @@
+[submodule "PyINSECT"]
+ path = PyINSECT
+ url = https://github.com/ggianna/PyINSECT
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 6ff1bf9..a5dfb56 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,61 +1,131 @@
+ci:
+ skip: [hadolint-docker]
+ autofix_commit_msg: 'refactor: `pre-commit.ci` auto fix'
+ autofix_prs: true
+ autoupdate_commit_msg: 'ci: `pre-commit.ci` auto update'
repos:
- - repo: https://github.com/commitizen-tools/commitizen
- rev: v2.19.0
+ - repo: https://github.com/pycqa/isort
+ rev: 5.12.0
hooks:
- - id: commitizen
- stages: [commit-msg]
- - repo: https://github.com/roy-ht/pre-commit-jupyter
- rev: v1.2.1
+ - id: isort
+ - repo: https://github.com/psf/black
+ rev: 23.3.0
hooks:
- - id: jupyter-notebook-cleanup
- args:
- - --remove-kernel-metadata
- - repo: https://github.com/mwouts/jupytext
- rev: v1.13.0
+ - id: black
+ language_version: python3
+ - repo: https://github.com/astral-sh/ruff-pre-commit
+ rev: v0.0.269
+ hooks:
+ - id: ruff
+ args: [--fix, --exit-non-zero-on-fix]
+ exclude: ^docs|tests
+ - repo: https://github.com/codespell-project/codespell
+ rev: v2.2.4
+ hooks:
+ - id: codespell
+ files: \.(py|md)$
+ - repo: https://github.com/econchick/interrogate
+ rev: 1.5.0
hooks:
- - id: jupytext
- files: ^Nanorough_surface_Super_resolution.ipynb$
- args: [--output, Nanorough_surface_Super_resolution.py]
+ - id: interrogate
+ args: [-v, --fail-under=100]
+ files: ^src/
- repo: https://github.com/pre-commit/pre-commit-hooks
- rev: v4.0.1
+ rev: v4.4.0
hooks:
+ - id: check-added-large-files
+ - id: check-ast
+ - id: check-case-conflict
+ - id: check-docstring-first
+ - id: check-merge-conflict
+ - id: detect-private-key
+ - id: fix-byte-order-marker
+ - id: mixed-line-ending
- id: trailing-whitespace
- id: end-of-file-fixer
+ exclude: \.(yml|yaml)$
- id: check-yaml
- id: check-json
- id: check-toml
- id: debug-statements
- - repo: https://github.com/humitos/mirrors-autoflake.git
- rev: v1.1
+ - repo: https://github.com/pre-commit/mirrors-mypy
+ rev: v1.3.0
hooks:
- - id: autoflake
- args: ['--in-place', '--remove-all-unused-imports', '--remove-unused-variable']
- - repo: https://github.com/pycqa/isort
- rev: 5.9.3
+ - id: mypy
+ files: ^src
+ additional_dependencies: [types-all]
+ - repo: https://github.com/commitizen-tools/commitizen
+ rev: 3.2.2
hooks:
- - id: isort
- - repo: https://github.com/psf/black
- rev: 21.9b0
+ - id: commitizen
+ stages: [commit-msg]
+ - repo: https://github.com/jorisroovers/gitlint
+ rev: v0.19.1
hooks:
- - id: black
- language_version: python3
+ - id: gitlint
+ stages: [commit-msg]
+ args: [--ignore=B6, --msg-filename]
+ - repo: https://github.com/editorconfig-checker/editorconfig-checker.python
+ rev: 2.7.1
+ hooks:
+ - id: editorconfig-checker
- repo: https://github.com/jendrikseipp/vulture
- rev: v2.3
+ rev: v2.7
hooks:
- id: vulture
- - repo: local
- hooks:
- - id: export-requirements
- name: export-requirements
- language: system
- pass_filenames: false
- entry: poetry export --without-hashes -o requirements.txt
- files: ^(pyproject.toml|poetry.lock)$
- - repo: local
- hooks:
- - id: google-drive
- name: google-drive
- entry: bash -c 'poetry build; find dist -name "roughml*.whl" | sort -r | head -1 | xargs cp -t /mnt/g/My\ Drive/Thesis/Binaries/'
- language: system
- types: [python]
- pass_filenames: false
+ - repo: https://github.com/hadolint/hadolint
+ rev: v2.12.1-beta
+ hooks:
+ - id: hadolint-docker
+ args: ['--ignore', 'DL3006']
+ - repo: https://github.com/python-jsonschema/check-jsonschema
+ rev: 0.23.0
+ hooks:
+ - id: check-github-workflows
+ - id: check-renovate
+ - repo: https://github.com/PyCQA/docformatter
+ rev: v1.7.1
+ hooks:
+ - id: docformatter
+ additional_dependencies: [tomli]
+ exclude: tests
+ args: [--config, pyproject.toml]
+ - repo: https://github.com/PyCQA/bandit
+ rev: 1.7.5
+ hooks:
+ - id: bandit
+ additional_dependencies: ["bandit[toml]"]
+ args: ["-c", "pyproject.toml"]
+ - repo: https://github.com/tox-dev/pyproject-fmt
+ rev: 0.11.1
+ hooks:
+ - id: pyproject-fmt
+ args: [--indent, '2']
+ - repo: https://github.com/google/yamlfmt
+ rev: v0.9.0
+ hooks:
+ - id: yamlfmt
+ - repo: https://github.com/nbQA-dev/nbQA
+ rev: 1.3.1
+ hooks:
+ - id: nbqa-black
+ - id: nbqa-check-ast
+ - id: nbqa-flake8
+ - id: nbqa-isort
+ - id: nbqa-mypy
+ - repo: https://github.com/roy-ht/pre-commit-jupyter
+ rev: v1.2.1
+ hooks:
+ - id: jupyter-notebook-cleanup
+ args:
+ - --remove-kernel-metadata
+ - repo: https://github.com/python-poetry/poetry
+ rev: 1.5.0
+ hooks:
+ - id: poetry-check
+ - id: poetry-lock
+ args: [--check]
+ - repo: meta
+ hooks:
+ - id: check-hooks-apply
+ - id: check-useless-excludes
diff --git a/CHANGELOG.md b/CHANGELOG.md
index bd80678..df2784d 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,6 +2,13 @@
All notable changes to this project will be documented in this file.
+This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). See [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) for commit guidelines.
+
+
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
@@ -9,43 +16,43 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## v4.7.0 (2022-02-13)
### Feature
-* **flow:** Add latest epoch checkpoint ([`87884b7`](https://github.com/billsioros/RoughML/commit/87884b715b3687a875dc7184616dabff5d87af82))
+* **flow:** Add latest epoch checkpoint ([`87884b7`](https://github.com/billsioros/RoughGAN/commit/87884b715b3687a875dc7184616dabff5d87af82))
-**[See all commits in this version](https://github.com/billsioros/RoughML/compare/v4.6.0...v4.7.0)**
+**[See all commits in this version](https://github.com/billsioros/RoughGAN/compare/v4.6.0...v4.7.0)**
## v4.6.0 (2021-10-19)
### Feature
-* **cli:** `benchmark` content similarity script ([`add2ad9`](https://github.com/billsioros/RoughML/commit/add2ad941cfdeca1f9d178cc47a32a44168a0dbf))
+* **cli:** `benchmark` content similarity script ([`add2ad9`](https://github.com/billsioros/RoughGAN/commit/add2ad941cfdeca1f9d178cc47a32a44168a0dbf))
### Fix
-* **train:** `content_loss.type` null check ([`767616b`](https://github.com/billsioros/RoughML/commit/767616b70ad05c9d23cd1d8d66ade5328868cb32))
-* **loss:** Suppress `.numpy()` AttributeError ([`db2ef70`](https://github.com/billsioros/RoughML/commit/db2ef7047ac56d0642d2aeb29473502e31675a8f))
+* **train:** `content_loss.type` null check ([`767616b`](https://github.com/billsioros/RoughGAN/commit/767616b70ad05c9d23cd1d8d66ade5328868cb32))
+* **loss:** Suppress `.numpy()` AttributeError ([`db2ef70`](https://github.com/billsioros/RoughGAN/commit/db2ef7047ac56d0642d2aeb29473502e31675a8f))
-**[See all commits in this version](https://github.com/billsioros/RoughML/compare/v4.5.1...v4.6.0)**
+**[See all commits in this version](https://github.com/billsioros/RoughGAN/compare/v4.5.1...v4.6.0)**
## v4.5.1 (2021-10-09)
### Fix
-* **perceptron:** Remove ReLU ([`d20ed22`](https://github.com/billsioros/RoughML/commit/d20ed22957b4c21dc6b1a7baa43d3fe76a63d215))
+* **perceptron:** Remove ReLU ([`d20ed22`](https://github.com/billsioros/RoughGAN/commit/d20ed22957b4c21dc6b1a7baa43d3fe76a63d215))
-**[See all commits in this version](https://github.com/billsioros/RoughML/compare/v4.5.0...v4.5.1)**
+**[See all commits in this version](https://github.com/billsioros/RoughGAN/compare/v4.5.0...v4.5.1)**
## v4.5.0 (2021-09-30)
### Feature
-* **train:** Generate per epoch data csv ([`c154585`](https://github.com/billsioros/RoughML/commit/c154585fd6c78387dff82dd4d6d565ce1db1e2d6))
+* **train:** Generate per epoch data csv ([`c154585`](https://github.com/billsioros/RoughGAN/commit/c154585fd6c78387dff82dd4d6d565ce1db1e2d6))
### Fix
-* **plot:** Do not close plot on Windows ([`ee82ad8`](https://github.com/billsioros/RoughML/commit/ee82ad8eff0624292e4dd63496bc3ccec18ee0d7))
-* **loss:** `VectorSpaceContentLoss` expects numpy matrix ([`5d3acf8`](https://github.com/billsioros/RoughML/commit/5d3acf86a56b018047a6addc0ceff41d7717f1df))
+* **plot:** Do not close plot on Windows ([`ee82ad8`](https://github.com/billsioros/RoughGAN/commit/ee82ad8eff0624292e4dd63496bc3ccec18ee0d7))
+* **loss:** `VectorSpaceContentLoss` expects numpy matrix ([`5d3acf8`](https://github.com/billsioros/RoughGAN/commit/5d3acf86a56b018047a6addc0ceff41d7717f1df))
-**[See all commits in this version](https://github.com/billsioros/RoughML/compare/v4.4.0...v4.5.0)**
+**[See all commits in this version](https://github.com/billsioros/RoughGAN/compare/v4.4.0...v4.5.0)**
## v4.4.0 (2021-09-29)
### Feature
-* **loss:** Normalize `VectorSpaceContentLoss` ([`430ac52`](https://github.com/billsioros/RoughML/commit/430ac52a923e6293bbd8137ca4136a15568635cf))
-* **train:** Plot fourier/histogram based content loss ([`22c038c`](https://github.com/billsioros/RoughML/commit/22c038c6f6de29419832f676f80b942b507469ca))
-* **dataset:** Make dataset path optional on CLI ([`4c9b2a9`](https://github.com/billsioros/RoughML/commit/4c9b2a99b1d5e901d75369b4d94ef3ef46025b70))
+* **loss:** Normalize `VectorSpaceContentLoss` ([`430ac52`](https://github.com/billsioros/RoughGAN/commit/430ac52a923e6293bbd8137ca4136a15568635cf))
+* **train:** Plot fourier/histogram based content loss ([`22c038c`](https://github.com/billsioros/RoughGAN/commit/22c038c6f6de29419832f676f80b942b507469ca))
+* **dataset:** Make dataset path optional on CLI ([`4c9b2a9`](https://github.com/billsioros/RoughGAN/commit/4c9b2a99b1d5e901d75369b4d94ef3ef46025b70))
-**[See all commits in this version](https://github.com/billsioros/RoughML/compare/v4.3.0...v4.4.0)**
+**[See all commits in this version](https://github.com/billsioros/RoughGAN/compare/v4.3.0...v4.4.0)**
## v4.3.0 (2021-08-23)
### Feature
diff --git a/LICENSE b/LICENSE
index 8b972bd..980f2db 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,6 +1,6 @@
MIT License
-Copyright (c) 2021 Vasilis Sioros
+Copyright (c) 2023-2023 Vasilis Sioros (billsioros)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
diff --git a/Nanorough_surface_Super_resolution.py b/Nanorough_surface_Super_resolution.py
deleted file mode 100644
index 1a28155..0000000
--- a/Nanorough_surface_Super_resolution.py
+++ /dev/null
@@ -1,408 +0,0 @@
-# -*- coding: utf-8 -*-
-# ---
-# jupyter:
-# jupytext:
-# formats: ipynb,py:light
-# text_representation:
-# extension: .py
-# format_name: light
-# format_version: '1.5'
-# jupytext_version: 1.13.0
-# kernelspec:
-# display_name: ''
-# name: ''
-# ---
-
-# + [markdown] colab_type="text" id="view-in-github"
-#
-
-# + [markdown] id="cce26209"
-# # âī¸ Prerequisites
-
-# + [markdown] id="affab565"
-# First of all we need to take care of a few **prerequisites**, most notably:
-#
-# - Install the various pip modules that we will be using.
-# - Install some linux specific dependencies of our [content loss](#content-loss).
-# - Initialize the Random Number Generator(s), so that our experiments can be replicated.
-# - Determine:
-# - The current working directory, as it's going to be used to reference various files such as the dataset, our model checkpoints e.t.c
-# - The available hardware backend. GPU utilization is preferable, as it results in higher complition time.
-# - `(Optionally)` Mount Google Drive, where we can load our dataset from.
-
-# + [markdown] id="19e0a6d0"
-# ## Determining the Current Working Directory
-
-# + cellView="code" id="945a9ccd"
-from pathlib import Path
-
-BASE_DIR = Path.cwd()
-
-# + [markdown] id="94c4d99f"
-# ## Mounting Google Drive
-
-# + cellView="code" colab={"base_uri": "https://localhost:8080/"} id="e24f0051" outputId="30ae6242-7890-45fb-97f4-7a3f98101b5c"
-GDRIVE_DIR = BASE_DIR / "drive"
-
-try:
- from google.colab import drive
-
- drive.mount(f"{GDRIVE_DIR}")
-except ImportError:
- pass
-
-# +
-SECRETS_DIR = GDRIVE_DIR / "MyDrive" / "Secrets"
-
-if GDRIVE_DIR.is_dir():
- THESIS_DIR = GDRIVE_DIR / "MyDrive" / "Thesis"
-else:
- THESIS_DIR = BASE_DIR
-
-OUTPUT_DIR = THESIS_DIR / "Output"
-
-if THESIS_DIR.is_dir():
- DATASET_DIR = THESIS_DIR / "Datasets"
-else:
- DATASET_DIR = BASE_DIR / "Datasets"
-# -
-
-# ## Configuring our Loggers
-
-# +
-import os
-
-LOGGING_LEVEL = os.environ.get("LOGGING_LEVEL", "CRITICAL").upper()
-
-LOGGING_CONFIG = {
- "version": 1,
- "disable_existing_loggers": False,
- "formatters": {
- "standard": {"format": "[%(asctime)s] %(levelname)s:%(name)s: %(message)s"}
- },
- "handlers": {
- "default": {
- "level": LOGGING_LEVEL,
- "formatter": "standard",
- "class": "logging.StreamHandler",
- },
- "file": {
- "level": LOGGING_LEVEL,
- "formatter": "standard",
- "class": "logging.FileHandler",
- },
- },
- "loggers": {"": {"handlers": ["default", "file"], "level": LOGGING_LEVEL}},
-}
-
-# + [markdown] id="16a902e2"
-# ## Installing [graphviz](https://graphviz.org/) & [libgraphviz-dev](https://packages.debian.org/jessie/libgraphviz-dev)
-
-# + [markdown] id="8c0cdd85"
-# The aforementioned packages are required by [PyINSECT](https://github.com/billsioros/PyINSECT/tree/implementing-HPGs) and more specifically its graph plotting methods.
-
-# + cellView="code" colab={"base_uri": "https://localhost:8080/"} id="919734ca" outputId="0767e6fd-b55e-4ebc-9e0e-11b243700c1c"
-# !sudo apt-get install graphviz libgraphviz-dev 1> /dev/null
-
-# + [markdown] id="7f5668f4"
-# ## Installing the required `pip` modules
-
-# + [markdown] id="aebad6f1"
-# - [torch](https://pytorch.org/) is our machine learning framework of choice.
-# - [numpy](https://numpy.org/), [sympy](https://www.sympy.org/en/index.html) and [scipy](https://www.scipy.org/) are used to in the context of nanorough surface generation.
-# - [plotly](https://plotly.com/) (which requires [pandas](https://pandas.pydata.org/)) as well as [matplotlib](https://matplotlib.org/) are used in order to plot various graphs.
-# -
-
-WHEEL_VERSION = "3.0.1"
-WHEEL_FILE = "roughml-%s-py3-none-any.whl" % (WHEEL_VERSION,)
-WHEEL_PATH = THESIS_DIR / "Binaries" / WHEEL_FILE
-
-import os
-import random
-
-# + cellView="code" colab={"base_uri": "https://localhost:8080/"} id="1057687b" outputId="2ab1f525-0235-4308-cabb-a7793277473b"
-import subprocess
-import sys
-
-import numpy as np
-
-pip_freeze_output = subprocess.check_output(
- [sys.executable, "-m", "pip", "freeze"]
-).decode()
-
-if "roughml" not in pip_freeze_output:
- if WHEEL_PATH.is_file():
- subprocess.check_call([sys.executable, "-m", "pip", "install", WHEEL_PATH])
- else:
- raise FileNotFoundError(WHEEL_PATH)
-
-# + [markdown] id="0192c059"
-# ## Initializing (a.k.a `Seeding`) the Random Number Generator(s)
-# + cellView="code" id="4d6c30c9"
-import torch
-
-SEED = 1234
-
-if SEED is not None:
- np.random.seed(SEED)
- random.seed(SEED)
- torch.manual_seed(SEED)
- torch.cuda.manual_seed(SEED)
- torch.backends.cudnn.deterministic = True
- os.environ["PYTHONHASHSEED"] = str(SEED)
-
-# + [markdown] id="6fce8a2a"
-# ## Determining available backend
-
-# + [markdown] id="5ca328f8"
-# By default, we are going to be utilizing the available CPU backend, if no GPU is available.
-
-# + cellView="code" id="520ba5c1"
-device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-# -
-
-
-# ## Setting up our callbacks
-
-# ### End-of-training callback
-
-# +
-from datetime import datetime
-
-from roughml.shared.notifiers import EndOfTrainingNotifier
-
-training_callback = None
-if SECRETS_DIR.is_dir():
- notifier = EndOfTrainingNotifier.from_json(SECRETS_DIR / "credentials.json")
-
- timestamp = datetime.now().strftime("%Y/%m/%d %H:%M:%S.%f")
-
- def training_callback(log_file=None, **context):
- notifier(
- ("Vasilis Sioros", "billsioros97@gmail.com"),
- log_file=log_file,
- dataset=context["dataset"],
- generator=context["generator"],
- discriminator=context["discriminator"],
- elapsed_time=context["elapsed_time"],
- succeeded=context["succeeded"],
- identifier=timestamp,
- )
-
-
-# -
-
-# ### Logging initialization callback
-
-
-def logging_callback(config, logging_dir):
- level = config.handlers.file.level.lower()
-
- config.handlers.file.filename = logging_dir / f"{level}.log"
-
- return config
-
-
-# + [markdown] id="60d78d1e"
-# # đ A naive-approach
-
-# + [markdown] id="ec374650"
-# ## Defining the **Generator** and the **Discriminator** instantiation callbacks
-
-# + cellView="code" id="d6594cb1"
-from roughml.models import PerceptronGenerator
-
-
-def get_generator():
- return PerceptronGenerator.from_device(device)
-
-
-# + cellView="code" id="cac059ee"
-from roughml.models import PerceptronDiscriminator
-
-
-def get_discriminator(generator):
- return PerceptronDiscriminator.from_generator(generator)
-
-
-# + [markdown] id="eb813599"
-# ## Training
-
-# + cellView="code" id="8a131c21"
-from torch.nn import BCELoss
-
-criterion = BCELoss().to(device)
-
-# + cellView="code" id="63114157"
-import functools
-
-from torch.optim import Adam
-
-from roughml.content.loss import NGramGraphContentLoss
-from roughml.data.loaders import load_multiple_datasets_from_pt
-from roughml.data.transforms import To, View
-from roughml.training.epoch import per_epoch
-from roughml.training.flow import TrainingFlow
-
-training_flow = TrainingFlow(
- output_dir=OUTPUT_DIR,
- logging={"config": LOGGING_CONFIG, "callback": logging_callback},
- training={
- "manager": {
- "benchmark": True,
- # Uncomment if you want to enable checkpointing
- # "checkpoint": {"multiple": True},
- "train_epoch": per_epoch,
- "log_every_n": 10,
- "criterion": {"instance": criterion},
- "n_epochs": 10,
- "train_ratio": 0.8,
- "optimizer": {
- "type": Adam,
- "params": {"lr": 0.1, "weight_decay": 0},
- },
- "dataloader": {
- "batch_size": 256,
- "shuffle": True,
- "num_workers": 0,
- },
- },
- "callbacks": [
- training_callback,
- ],
- },
- content_loss={
- "type": NGramGraphContentLoss,
- # Uncomment if you want to enable checkpointing
- # "cache": "n_gram_graph_content_loss.pkl",
- },
- data={
- "loader": functools.partial(
- load_multiple_datasets_from_pt,
- DATASET_DIR,
- transforms=[To(device), View(1, 128, 128)],
- limit=(2, 10),
- )
- },
- animation={
- "indices": [
- 0,
- ],
- "save_path": "perceptron_per_epoch_animation.mp4",
- },
- plot={
- "grayscale": {"limit": 10, "save_path_fmt": "grayscale/%s_%02d.png"},
- "surface": {"limit": 10, "save_path_fmt": "surface/%s_%02d.png"},
- "against": {"save_path_fmt": "against_%s.png"},
- },
- suppress_exceptions=False,
-)
-
-# + colab={"base_uri": "https://localhost:8080/", "height": 573} id="836ed418" outputId="f4d7ef3c-027c-4725-9f07-50e4d7c28ff1" tags=[]
-# training_flow(get_generator, get_discriminator)
-
-# + [markdown] id="fe589c1a"
-# # đ A CNN based approach
-
-# + [markdown] id="b16a4946"
-# ## Instantiating the **Generator** and the **Discriminator** Networks
-
-# + cellView="code" id="e301a7a0"
-from roughml.models import CNNGenerator
-
-
-def get_generator():
- return CNNGenerator.from_device(device)
-
-
-# + cellView="code" id="5a8a9aad"
-from roughml.models import CNNDiscriminator
-
-
-def get_discriminator(generator):
- return CNNDiscriminator.from_generator(generator)
-
-
-# + [markdown] id="7bbbcc22"
-# ## Training
-
-# + cellView="code" id="45778b4c"
-from torch.nn import BCELoss
-
-criterion = BCELoss().to(device)
-
-# + cellView="code" id="82fb12f6"
-import functools
-
-from torch.optim import Adam
-
-from roughml.content.loss import ArrayGraph2DContentLoss
-from roughml.data.transforms import To, View
-from roughml.training.epoch import per_epoch
-
-training_flow = TrainingFlow(
- output_dir=OUTPUT_DIR,
- logging={"config": LOGGING_CONFIG, "callback": logging_callback},
- training={
- "manager": {
- "benchmark": True,
- # Uncomment if you want to enable checkpointing
- # "checkpoint": {"multiple": True},
- "train_epoch": per_epoch,
- "log_every_n": 10,
- "criterion": {"instance": criterion},
- "n_epochs": 10,
- "train_ratio": 0.8,
- "optimizer": {
- "type": Adam,
- "params": {"lr": 0.0002, "betas": (0.5, 0.999)},
- },
- "dataloader": {
- "batch_size": 32,
- "shuffle": True,
- "num_workers": 0,
- },
- },
- "callbacks": [
- training_callback,
- ],
- },
- content_loss={
- "type": ArrayGraph2DContentLoss,
- # Uncomment if you want to enable checkpointing
- # "cache": "n_gram_graph_content_loss.pkl",
- },
- data={
- "loader": functools.partial(
- load_multiple_datasets_from_pt,
- DATASET_DIR,
- transforms=[To(device), View(1, 128, 128)],
- limit=(2, 10),
- )
- },
- animation={
- "indices": [
- 0,
- ],
- "save_path": "cnn_per_epoch_animation.mp4",
- },
- plot={
- "grayscale": {"limit": 10, "save_path_fmt": "grayscale/%s_%02d.png"},
- "surface": {"limit": 10, "save_path_fmt": "surface/%s_%02d.png"},
- "against": {"save_path_fmt": "against_%s.png"},
- },
- suppress_exceptions=False,
-)
-
-# + colab={"base_uri": "https://localhost:8080/", "height": 573} id="3c4cdce1" outputId="c22dfcc0-c6d9-4726-c197-acf11bdec52f"
-training_flow(get_generator, get_discriminator)
-# -
-
-# # đ Dismounting Google Drive and persisting any changes made
-
-try:
- from google.colab import drive
-
- drive.flush_and_unmount()
-except ImportError:
- pass
diff --git a/PyINSECT b/PyINSECT
new file mode 160000
index 0000000..c6da053
--- /dev/null
+++ b/PyINSECT
@@ -0,0 +1 @@
+Subproject commit c6da0538efaf453b95305e1eee66f1b9ecf8ad2d
diff --git a/README.md b/README.md
index 969e525..d25a284 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,124 @@
-# Nanorough surface Super-resolution
+
RoughGAN
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/billsioros/thesis/blob/master/Nanorough_surface_Super_resolution.ipynb)
+Generating Realistic Nanorough Surfaces Using an N-Gram-Graph Augmented Deep Convolutional Generative Adversarial Network
+
+
+
+
+
+
+
+
+
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+
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+
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+
+
+
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+
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+
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+
+
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+
+
+
-**Attention: The name of the repository, as well as the license are subject to change**
+Modeling and simulation of roughness generation and functionality can be aided by synthesized nanorough surfaces that mimic real experimental ones. We can save time and resources in optimizing the linkages in the process-surface-functionality triangle if the synthesized samples are generated in a computationally inexpensive manner.
+
+Existing nanorough surface generation techniques presuppose that the structural feature space to be employed in the generation process may be identified. In many circumstances, however, this assumption cannot be safely confirmed. As a result, a data-driven approach appears to be a viable option worth considering. Generating synthesized nanorough surfaces in the context of a multi-physics simulation requires (1) identifying the structural feature space so that the generation of new nanorough surfaces is possible and (2) the generation process to be property-preserving.
+
+We present methods for integrating new nanorough surfaces similar to a preset sample of surfaces into multi-physics simulations in a computationally inexpensive fashion. We look at how a Generative Adversarial Network (GAN)-based strategy, given a nanorough surface data set, may learn to produce nanorough surface samples that are statistically equivalent to the ones belonging to the training data set. We also look at how combining the GAN framework with a variety of nanorough similarity measures might improve the realisticity of the synthesized nanorough surfaces. We showcase via multiple experiments that our framework is able to produce sufficiently realistic nanorough surfaces, in many cases indistinguishable from real ones.
+
+## :cd: Docker Support
+
+```bash
+docker build . -t roughgan:$( git tag -l | tail -1 | cut -c2- ) -t build:train -f Dockerfile
+docker run -v $(pwd)/data:/home/app/app/data -v $(pwd)/models:/home/app/app/models --gpus $(nvidia-smi --list-gpus | wc -l) roughgan:latest
+```
+
+## :book: Documentation
+
+The project's documentation can be found [here](https://billsioros.github.io/RoughGAN/).
+
+## :heart: Support the project
+
+Feel free to [**Buy me a coffee! â**](https://www.buymeacoffee.com/billsioros).
+
+## :sparkles: Contributing
+
+If you would like to contribute to the project, please go through the [Contributing Guidelines](https://billsioros.github.io/RoughGAN/latest/CONTRIBUTING/) first.
+
+## :bookmark_tabs: Citation
+
+```bibtex
+@inproceedings{10.1145/3549737.3549794,
+ author = {Sioros, Vasilis and Giannakopoulos, George and Constantoudis, Vassileios},
+ title = {Generating Realistic Nanorough Surfaces Using an N-Gram-Graph Augmented Deep Convolutional Generative Adversarial Network},
+ year = {2022},
+ isbn = {9781450395977},
+ publisher = {Association for Computing Machinery},
+ address = {New York, NY, USA},
+ url = {https://doi.org/10.1145/3549737.3549794},
+ doi = {10.1145/3549737.3549794},
+ booktitle = {Proceedings of the 12th Hellenic Conference on Artificial Intelligence},
+ articleno = {53},
+ numpages = {10},
+ keywords = {Machine Learning, Rough Surfaces, Graph Theory, Nanotechnology, Artificial Intelligence},
+ location = {Corfu, Greece},
+ series = {SETN '22}
+}
+```
+
+## :label: Credits
+
+This project was generated with [`billsioros/cookiecutter-pypackage`](https://github.com/billsioros/cookiecutter-pypackage) cookiecutter template.
diff --git a/docker/Dockerfile b/docker/Dockerfile
new file mode 100644
index 0000000..e38a929
--- /dev/null
+++ b/docker/Dockerfile
@@ -0,0 +1,73 @@
+FROM python:3.8-slim-buster as python-base
+
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+ENV LANG=C.UTF-8 \
+ LC_ALL=C.UTF-8 \
+ DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends curl=7.64.0-4+deb10u2
+
+FROM python-base as poetry-base
+
+ENV PYTHONFAULTHANDLER=1 \
+ PYTHONDONTWRITEBYTECODE=1 \
+ PYTHONUNBUFFERED=1 \
+ PIP_NO_CACHE_DIR=off \
+ PIP_DISABLE_PIP_VERSION_CHECK=on \
+ PIP_DEFAULT_TIMEOUT=100 \
+ POETRY_HOME=/opt/poetry \
+ POETRY_NO_INTERACTION=1 \
+ POETRY_VIRTUALENVS_CREATE=0 \
+ POETRY_VERSION=1.2.0b1
+
+ENV POETRY_CACHE_DIR=${POETRY_HOME}/.cache \
+ PATH=${POETRY_HOME}/bin:${PATH}
+
+RUN curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py | python
+
+RUN mkdir -p ${POETRY_CACHE_DIR}/virtualenvs
+
+FROM poetry-base as build-base
+
+ENV USER=app \
+ GROUP=app
+
+ENV WORKSPACE=/home/${USER}/app
+
+RUN adduser ${USER} && \
+ chown -R ${USER}:${GROUP} /home/${USER}
+
+COPY --from=poetry-base ${POETRY_HOME} ${POETRY_HOME}
+
+RUN mkdir -p ${WORKSPACE}
+
+WORKDIR ${WORKSPACE}
+
+COPY pyproject.toml poetry.lock ${WORKSPACE}
+
+RUN poetry install --no-dev --no-root
+
+FROM build-base as build
+
+ENV PORT=8080
+
+COPY --from=build-base ${WORKSPACE} ${WORKSPACE}
+
+COPY src ${WORKSPACE}
+
+EXPOSE ${PORT}
+
+USER ${USER}
+
+CMD poetry run gunicorn \
+ --bind 0.0.0.0:${PORT} \
+ --access-logfile - \
+ --graceful-timeout 10 \
+ --keep-alive 10 \
+ --log-file - \
+ --timeout 30 \
+ --worker-tmp-dir /dev/shm \
+ --workers 2 \
+ app.app:create_app\(\)
diff --git a/docker/Dockerfile.train b/docker/Dockerfile.train
new file mode 100644
index 0000000..b48506b
--- /dev/null
+++ b/docker/Dockerfile.train
@@ -0,0 +1,105 @@
+FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04 as cuda-base
+
+SHELL ["/bin/bash", "-o", "pipefail", "-c"]
+
+ENV LANG=C.UTF-8 \
+ LC_ALL=C.UTF-8 \
+ DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && \
+ apt-get install -y --no-install-recommends \
+ git \
+ curl \
+ make \
+ build-essential \
+ libssl-dev \
+ zlib1g-dev \
+ libbz2-dev \
+ libreadline-dev \
+ libsqlite3-dev \
+ wget \
+ curl \
+ llvm \
+ libncursesw5-dev \
+ xz-utils \
+ tk-dev \
+ libxml2-dev \
+ libxmlsec1-dev \
+ libffi-dev \
+ liblzma-dev
+
+FROM cuda-base as pyenv-base
+
+ENV PYENV_ROOT=/opt/.pyenv \
+ PYENV_GIT_TAG=v2.2.5
+
+ENV PATH=${PYENV_ROOT}/shims:${PYENV_ROOT}/bin:${PATH}
+
+RUN curl https://pyenv.run | bash
+
+FROM pyenv-base as python-base
+
+COPY --from=pyenv-base ${PYENV_ROOT} ${PYENV_ROOT}
+
+ENV PYTHON_VERSION=3.9.4 \
+ PYTHONFAULTHANDLER=1 \
+ PYTHONDONTWRITEBYTECODE=1 \
+ PYTHONUNBUFFERED=1
+
+RUN pyenv install ${PYTHON_VERSION} \
+ && pyenv global ${PYTHON_VERSION} \
+ && pyenv rehash
+
+FROM python-base as poetry-base
+
+ENV PIP_NO_CACHE_DIR=off \
+ PIP_DISABLE_PIP_VERSION_CHECK=on \
+ PIP_DEFAULT_TIMEOUT=100 \
+ POETRY_HOME=/opt/poetry \
+ POETRY_NO_INTERACTION=1 \
+ POETRY_VIRTUALENVS_CREATE=0 \
+ POETRY_VERSION=1.2.0b1
+
+ENV POETRY_CACHE_DIR=${POETRY_HOME}/.cache \
+ PATH=${POETRY_HOME}/bin:${PATH}
+
+COPY --from=python-base ${PYENV_ROOT} ${PYENV_ROOT}
+
+RUN curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py | python
+
+RUN mkdir -p ${POETRY_CACHE_DIR}/virtualenvs
+
+FROM poetry-base as build-base
+
+ENV USER=app \
+ GROUP=app
+
+ENV WORKSPACE=/home/${USER}/app
+
+RUN adduser ${USER} && \
+ chown -R ${USER}:${GROUP} /home/${USER}
+
+COPY --from=poetry-base ${PYENV_ROOT} ${PYENV_ROOT}
+COPY --from=poetry-base ${POETRY_HOME} ${POETRY_HOME}
+
+RUN mkdir -p ${WORKSPACE}
+
+WORKDIR ${WORKSPACE}
+
+COPY pyproject.toml poetry.lock ${WORKSPACE}
+
+RUN poetry env use ${PYTHON_VERSION} && \
+ poetry install --no-dev
+
+FROM build-base as build
+
+COPY --from=build-base ${WORKSPACE} ${WORKSPACE}
+
+COPY src ${WORKSPACE}
+
+USER ${USER}
+
+# TODO: Template code
+CMD poetry run python alpaca_mot/main.py train \
+ --dataset ./data/small \
+ --state ./models/model
diff --git a/docs/CHANGELOG.md b/docs/CHANGELOG.md
new file mode 100644
index 0000000..786b75d
--- /dev/null
+++ b/docs/CHANGELOG.md
@@ -0,0 +1 @@
+--8<-- "CHANGELOG.md"
diff --git a/docs/CODE_OF_CONDUCT.md b/docs/CODE_OF_CONDUCT.md
new file mode 100644
index 0000000..095a7b7
--- /dev/null
+++ b/docs/CODE_OF_CONDUCT.md
@@ -0,0 +1,80 @@
+
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to make participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, sex characteristics, gender identity and expression,
+level of experience, education, socio-economic status, nationality, personal
+appearance, race, religion, or sexual identity and orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to creating a positive environment
+include:
+
+* Using welcoming and inclusive language
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
+* Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+* The use of sexualized language or imagery and unwelcome sexual attention or
+ advances
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+ address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+ professional setting
+
+## Our Responsibilities
+
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
+
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
+
+## Scope
+
+This Code of Conduct applies within all project spaces, and it also applies when
+an individual is representing the project or its community in public spaces.
+Examples of representing a project or community include using an official
+project e-mail address, posting via an official social media account, or acting
+as an appointed representative at an online or offline event. Representation of
+a project may be further defined and clarified by project maintainers.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting one of the [project maintainers](#project-maintainers) listed below. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.
+
+## Project Maintainers
+
+* [Vasilis Sioros](https://github.com/billsioros) <>
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
+available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see
+https://www.contributor-covenant.org/faq
diff --git a/docs/CONTRIBUTING.md b/docs/CONTRIBUTING.md
new file mode 100644
index 0000000..49129f1
--- /dev/null
+++ b/docs/CONTRIBUTING.md
@@ -0,0 +1,103 @@
+# Contributing
+
+Hello and thank you for considering contributing to **RoughGAN**!
+
+Reading and following these guidelines will help us make the contribution process easy and effective for everyone involved.
+
+This project follows the [all-contributors](https://allcontributors.org/) specification. You can read more [here](https://allcontributors.org/docs/en/bot/usage).
+
+## Code of Conduct
+
+By participating and contributing to this project, you agree to uphold our [Code of Conduct](CODE_OF_CONDUCT.md).
+
+## Getting Help
+
+In case all you need is an answer to a question, please refrain from opening an issue and instead visit the project's [discussion page](https://github.com/billsioros/RoughGAN/discussions/categories/q-a).
+
+## Getting Started
+
+Contributions are made to this repository via Issues and Pull Requests (PRs). A few general guidelines that cover both:
+
+- Search for existing Issues and PRs before creating your own.
+- We work hard to make sure issues are handled in a timely manner but, depending on the impact, it could take a while to investigate the root cause. A friendly ping in the comment thread to the submitter or a contributor can help draw attention if your issue is blocking.
+
+### Issues
+
+[Issues](https://github.com/billsioros/RoughGAN/issues) should be used to report problems with the library or request a new feature or documentation change. When you create a new Issue, a template will be loaded that will guide you through collecting and providing the required information.
+
+If you find an Issue that addresses the problem you're having, please add your own reproduction information to the existing issue rather than creating a new one. Adding a [reaction](https://github.blog/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) can also help in indicating to our maintainers that a particular problem is affecting more than just the reporter.
+
+### Pull Requests
+
+PRs can be a quick way to get your fix or improvement slated for the next release. In general, PRs should:
+
+- Only fix/add the functionality in question **OR** address wide-spread whitespace/style issues, not both.
+- Address a single concern in the least number of changed lines as possible.
+- Be accompanied by a complete Pull Request template (loaded automatically when a PR is created).
+- Add [unit or integration tests](https://github.com/billsioros/RoughGAN/tree/master/tests) for added or changed functionality.
+- Any code related changes should be accompanied by corresponding changes to the project's documentation.
+- If your pull request introduces a new feature, the corresponding `README` [section](https://billsioros.github.io/RoughGAN/latest/#features) must be updated to reflect this.
+- Write clear, concise commit message(s) using the [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) format. [Why?](#writing-your-commit-message)
+- This project only accepts pull requests related to open issues. In case there is no relevant open issue, feel free to [create one](https://github.com/billsioros/RoughGAN/issues/new/choose).
+
+For changes that address core functionality or would require breaking changes (e.g. a major release), it's best to open an Issue to discuss your proposal first. This is not required but can save time creating and reviewing changes.
+
+In general, we follow the ["fork-and-pull" Git workflow](https://github.com/susam/gitpr)
+
+1. Fork the repository to your own Github account
+2. Clone the project to your machine
+3. Create a branch locally with a succinct but descriptive name
+4. Commit changes to the branch
+5. Push changes to your fork
+6. [Open a PR in our repository](https://github.com/billsioros/RoughGAN/compare) and follow the PR template so that we can efficiently review the changes
+
+## Setting up a local development environment
+
+The following sections assume that you have already locally [cloned the repository](https://docs.github.com/en/github/creating-cloning-and-archiving-repositories/cloning-a-repository).
+
+### Installing Poetry
+
+The **RoughGAN** project utilizes the [Poetry](https://python-poetry.org/) Python package manager. [Having installed Poetry](https://python-poetry.org/docs/#installation) in the **global** namespace you may now run `poetry shell` to create a brand new [virtual environment](https://docs.python.org/3/tutorial/venv.html) and `poetry install`, in order to install the project's dependencies (development dependencies as well).
+
+### Installing pre-commit hooks
+
+The project utilizes the [pre-commit](https://pre-commit.com/) framework. Having [created a virtual environment and installed the required dependencies](#installing-poetry), you may run `pre-commit install --install-hooks` to install the [git hook scripts](https://github.com/billsioros/RoughGAN/blob/master/.pre-commit-config.yaml).
+
+### Testing via `pytest`
+
+> We are using [pytest](https://github.com/pytest-dev/pytest) to automate testing on multiple environments.
+
+The test suite can be run using `poetry run poe test`.
+
+#### (Optional) Installing pyenv
+
+[pyenv](https://github.com/pyenv/pyenv) is used, in the context of the **cookiecutter-pypackage** project, in order to determine the project's compatibility with various versions of Python. Installing `pyenv` is not strictly required, but it is recommended.
+
+Having installed `pyenv` in the **global** namespace, you may now run the following snippet, in order to install Python 3.7, 3.8 and 3.9, which, at the time of writing this document, are the only Python versions, supported by **cookiecutter-pypackage**.
+
+```bash
+pyenv install 3.7.10 3.8.9 3.9.4
+pyenv local 3.7.10 3.8.9 3.9.4
+```
+
+Feel free to read more about using `pyenv`, in the context of `poetry`, [here](https://blog.jayway.com/2019/12/28/pyenv-poetry-saviours-in-the-python-chaos/).
+
+### Performing development operations via `poethepoet`
+
+> We are using [poethepoet](https://github.com/nat-n/poethepoet), to perform various development oriented tasks.
+
+Formatting, type-checking, running the test suite, as well as a few other operations, can be performed by running `poe `. Please run `poe --help` (or `poetry run poe --help`), to list all available operations.
+
+### Documenting your changes
+
+**RoughGAN** utilizes [MkDocs](https://www.mkdocs.org/) to build and deploy its documentation to [GitHub Pages](https://pages.github.com/). The documentation is auto-generated from the [python docstrings](https://www.python.org/dev/peps/pep-0257/#id15) throughout the source code. As a result, any code related change should be accompanied by a corresponding change to the method's / class's docstring.
+
+Having made your changes, please run `poe docs` and make sure that no error is being raised on build time. Afterwards, open `http://localhost:8000/` in your browser of choice and make sure that the documentation renders correctly.
+
+### Writing your commit message
+
+The project's version number and [Changelog](https://github.com/billsioros/RoughGAN/blob/master/CHANGELOG.md), depend on a consistent commit history. As a result, your commit message's format is extremely important. Before opening a pull request, please make sure that your commits strictly follow the [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) format].
+
+### Creating a pull request
+
+Make sure you review our [Pull Request Guidelines](#pull-requests), before initiating a PR.
diff --git a/docs/LICENSE.md b/docs/LICENSE.md
new file mode 100644
index 0000000..d6d8ca4
--- /dev/null
+++ b/docs/LICENSE.md
@@ -0,0 +1,5 @@
+
+
+
+
+--8<-- "LICENSE"
diff --git a/docs/index.md b/docs/index.md
new file mode 100644
index 0000000..612c7a5
--- /dev/null
+++ b/docs/index.md
@@ -0,0 +1 @@
+--8<-- "README.md"
diff --git a/Nanorough_surface_Super_resolution.ipynb b/docs/src/roughml.ipynb
similarity index 94%
rename from Nanorough_surface_Super_resolution.ipynb
rename to docs/src/roughml.ipynb
index bb549c6..be04e6e 100644
--- a/Nanorough_surface_Super_resolution.ipynb
+++ b/docs/src/roughml.ipynb
@@ -142,9 +142,7 @@
"LOGGING_CONFIG = {\n",
" \"version\": 1,\n",
" \"disable_existing_loggers\": False,\n",
- " \"formatters\": {\n",
- " \"standard\": {\"format\": \"[%(asctime)s] %(levelname)s:%(name)s: %(message)s\"}\n",
- " },\n",
+ " \"formatters\": {\"standard\": {\"format\": \"[%(asctime)s] %(levelname)s:%(name)s: %(message)s\"}},\n",
" \"handlers\": {\n",
" \"default\": {\n",
" \"level\": LOGGING_LEVEL,\n",
@@ -228,7 +226,7 @@
"outputs": [],
"source": [
"WHEEL_VERSION = \"3.0.1\"\n",
- "WHEEL_FILE = \"roughml-%s-py3-none-any.whl\" % (WHEEL_VERSION,)\n",
+ "WHEEL_FILE = \"roughgan-%s-py3-none-any.whl\" % (WHEEL_VERSION,)\n",
"WHEEL_PATH = THESIS_DIR / \"Binaries\" / WHEEL_FILE"
]
},
@@ -262,11 +260,9 @@
"\n",
"import numpy as np\n",
"\n",
- "pip_freeze_output = subprocess.check_output(\n",
- " [sys.executable, \"-m\", \"pip\", \"freeze\"]\n",
- ").decode()\n",
+ "pip_freeze_output = subprocess.check_output([sys.executable, \"-m\", \"pip\", \"freeze\"]).decode()\n",
"\n",
- "if \"roughml\" not in pip_freeze_output:\n",
+ "if \"roughgan\" not in pip_freeze_output:\n",
" if WHEEL_PATH.is_file():\n",
" subprocess.check_call([sys.executable, \"-m\", \"pip\", \"install\", WHEEL_PATH])\n",
" else:\n",
@@ -368,7 +364,7 @@
"source": [
"from datetime import datetime\n",
"\n",
- "from roughml.shared.notifiers import EndOfTrainingNotifier\n",
+ "from roughgan.shared.notifiers import EndOfTrainingNotifier\n",
"\n",
"training_callback = None\n",
"if SECRETS_DIR.is_dir():\n",
@@ -444,7 +440,7 @@
},
"outputs": [],
"source": [
- "from roughml.models import PerceptronGenerator\n",
+ "from roughgan.models import PerceptronGenerator\n",
"\n",
"\n",
"def get_generator():\n",
@@ -461,7 +457,7 @@
},
"outputs": [],
"source": [
- "from roughml.models import PerceptronDiscriminator\n",
+ "from roughgan.models import PerceptronDiscriminator\n",
"\n",
"\n",
"def get_discriminator(generator):\n",
@@ -507,11 +503,11 @@
"\n",
"from torch.optim import Adam\n",
"\n",
- "from roughml.content.loss import NGramGraphContentLoss\n",
- "from roughml.data.loaders import load_multiple_datasets_from_pt\n",
- "from roughml.data.transforms import To, View\n",
- "from roughml.training.epoch import per_epoch\n",
- "from roughml.training.flow import TrainingFlow\n",
+ "from roughgan.content.loss import NGramGraphContentLoss\n",
+ "from roughgan.data.loaders import load_multiple_datasets_from_pt\n",
+ "from roughgan.data.transforms import To, View\n",
+ "from roughgan.training.epoch import per_epoch\n",
+ "from roughgan.training.flow import TrainingFlow\n",
"\n",
"training_flow = TrainingFlow(\n",
" output_dir=OUTPUT_DIR,\n",
@@ -616,7 +612,7 @@
},
"outputs": [],
"source": [
- "from roughml.models import CNNGenerator\n",
+ "from roughgan.models import CNNGenerator\n",
"\n",
"\n",
"def get_generator():\n",
@@ -633,7 +629,7 @@
},
"outputs": [],
"source": [
- "from roughml.models import CNNDiscriminator\n",
+ "from roughgan.models import CNNDiscriminator\n",
"\n",
"\n",
"def get_discriminator(generator):\n",
@@ -679,8 +675,8 @@
"\n",
"from torch.optim import Adam\n",
"\n",
- "from roughml.data.transforms import To, View\n",
- "from roughml.training.epoch import per_epoch\n",
+ "from roughgan.data.transforms import To, View\n",
+ "from roughgan.training.epoch import per_epoch\n",
"\n",
"training_flow = TrainingFlow(\n",
" output_dir=OUTPUT_DIR,\n",
diff --git a/docs/src/roughml.md b/docs/src/roughml.md
new file mode 100644
index 0000000..ad6a7a1
--- /dev/null
+++ b/docs/src/roughml.md
@@ -0,0 +1,3 @@
+# Documentation for `RoughGAN`
+
+::: roughgan.models.cnn
diff --git a/mkdocs.yml b/mkdocs.yml
new file mode 100644
index 0000000..a46eeae
--- /dev/null
+++ b/mkdocs.yml
@@ -0,0 +1,99 @@
+site_name: RoughGAN
+site_description: "A nanorough surfaces oriented ML library"
+site_url: "https://billsioros.github.io/RoughGAN/"
+repo_url: "https://github.com/billsioros/RoughGAN"
+edit_uri: "edit/master/docs/"
+repo_name: "billsioros/RoughGAN"
+copyright: |
+ Copyright © 2023-2023 Vasilis Sioros
+nav:
+ - Overview: index.md
+ - Example: src/roughgan.ipynb
+ - Code Reference:
+ - RoughGAN: src/roughgan.md
+ - Contributing:
+ - Contributing Guidelines: CONTRIBUTING.md
+ - Code Of Conduct: CODE_OF_CONDUCT.md
+ - Changelog: CHANGELOG.md
+ - License: LICENSE.md
+theme:
+ name: material
+ features:
+ - search.suggest
+ - content.code.annotate
+ - content.tabs.link
+ - content.tooltips
+ - header.autohide
+ - navigation.expand
+ - navigation.indexes
+ - navigation.instant
+ - navigation.prune
+ - navigation.sections
+ - navigation.tabs
+ - navigation.tabs.sticky
+ - navigation.top
+ - navigation.tracking
+ - search.highlight
+ - search.share
+ - search.suggest
+ - toc.follow
+ - toc.integrate
+ palette:
+ - media: "(prefers-color-scheme: dark)"
+ scheme: slate
+ primary: teal
+ accent: teal
+ toggle:
+ icon: material/weather-night
+ name: Switch to light mode
+ - media: "(prefers-color-scheme: light)"
+ scheme: default
+ primary: green
+ accent: green
+ toggle:
+ icon: material/weather-sunny
+ name: Switch to dark mode
+ font:
+ text: Roboto
+ code: Roboto Mono
+watch:
+ - src/roughgan
+plugins:
+ - search
+ - mkdocstrings:
+ default_handler: python
+ handlers:
+ python:
+ paths:
+ - src
+ rendering:
+ show_source: true
+ options:
+ docstring_style: google
+ docstring_options:
+ ignore_init_summary: yes
+ merge_init_into_class: yes
+ show_submodules: no
+ - minify:
+ minify_html: true
+ - mkdocs-jupyter
+markdown_extensions:
+ - admonition
+ - pymdownx.emoji
+ - pymdownx.magiclink
+ - pymdownx.highlight
+ - pymdownx.inlinehilite
+ - pymdownx.snippets:
+ check_paths: true
+ - pymdownx.superfences
+ - pymdownx.tabbed
+ - pymdownx.tasklist
+ - toc:
+ permalink: ¤
+ - mdx_truly_sane_lists
+extra:
+ social:
+ - icon: fontawesome/brands/github
+ link: https://github.com/billsioros
+ version:
+ provider: mike
diff --git a/poetry.lock b/poetry.lock
index 78b5d31..e96a76a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,24 +1,50 @@
+[[package]]
+name = "aiosignal"
+version = "1.3.1"
+description = "aiosignal: a list of registered asynchronous callbacks"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
[[package]]
name = "appnope"
-version = "0.1.2"
+version = "0.1.3"
description = "Disable App Nap on macOS >= 10.9"
category = "main"
optional = false
python-versions = "*"
+[[package]]
+name = "asttokens"
+version = "2.2.1"
+description = "Annotate AST trees with source code positions"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[package.extras]
+test = ["astroid", "pytest"]
+
[[package]]
name = "attrs"
-version = "21.2.0"
+version = "23.1.0"
description = "Classes Without Boilerplate"
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.7"
[package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
+cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]", "pre-commit"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
+tests = ["attrs[tests-no-zope]", "zope-interface"]
+tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
[[package]]
name = "backcall"
@@ -28,81 +54,55 @@ category = "main"
optional = false
python-versions = "*"
-[[package]]
-name = "backports.entry-points-selectable"
-version = "1.1.0"
-description = "Compatibility shim providing selectable entry points for older implementations"
-category = "dev"
-optional = false
-python-versions = ">=2.7"
-
-[package.dependencies]
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-
-[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-flake8", "pytest-cov", "pytest-black (>=0.3.7)", "pytest-mypy", "pytest-checkdocs (>=2.4)", "pytest-enabler (>=1.0.1)"]
-
[[package]]
name = "black"
-version = "21.9b0"
+version = "23.3.0"
description = "The uncompromising code formatter."
category = "dev"
optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7"
[package.dependencies]
-click = ">=7.1.2"
+click = ">=8.0.0"
mypy-extensions = ">=0.4.3"
-pathspec = ">=0.9.0,<1"
+packaging = ">=22.0"
+pathspec = ">=0.9.0"
platformdirs = ">=2"
-regex = ">=2020.1.8"
-tomli = ">=0.2.6,<2.0.0"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
-typing-extensions = [
- {version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
- {version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
-]
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
[package.extras]
colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
+d = ["aiohttp (>=3.7.4)"]
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
-python2 = ["typed-ast (>=1.4.2)"]
uvloop = ["uvloop (>=0.15.2)"]
[[package]]
name = "bleach"
-version = "4.1.0"
+version = "6.0.0"
description = "An easy safelist-based HTML-sanitizing tool."
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
-packaging = "*"
six = ">=1.9.0"
webencodings = "*"
-[[package]]
-name = "cachetools"
-version = "4.2.4"
-description = "Extensible memoizing collections and decorators"
-category = "main"
-optional = false
-python-versions = "~=3.5"
+[package.extras]
+css = ["tinycss2 (>=1.1.0,<1.2)"]
[[package]]
name = "certifi"
-version = "2021.10.8"
+version = "2023.5.7"
description = "Python package for providing Mozilla's CA Bundle."
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[[package]]
name = "cffi"
-version = "1.14.6"
+version = "1.15.1"
description = "Foreign Function Interface for Python calling C code."
category = "dev"
optional = false
@@ -119,40 +119,28 @@ category = "dev"
optional = false
python-versions = ">=3.6.1"
-[[package]]
-name = "chardet"
-version = "4.0.0"
-description = "Universal encoding detector for Python 2 and 3"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
[[package]]
name = "charset-normalizer"
-version = "2.0.6"
+version = "3.2.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "main"
optional = false
-python-versions = ">=3.5.0"
-
-[package.extras]
-unicode_backport = ["unicodedata2"]
+python-versions = ">=3.7.0"
[[package]]
name = "click"
-version = "8.0.3"
+version = "8.1.4"
description = "Composable command line interface toolkit"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
[[package]]
name = "click-log"
-version = "0.3.2"
+version = "0.4.0"
description = "Logging integration for Click"
category = "dev"
optional = false
@@ -163,79 +151,84 @@ click = "*"
[[package]]
name = "colorama"
-version = "0.4.4"
+version = "0.4.6"
description = "Cross-platform colored terminal text."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
[[package]]
-name = "commonmark"
-version = "0.9.1"
-description = "Python parser for the CommonMark Markdown spec"
+name = "contourpy"
+version = "1.1.0"
+description = "Python library for calculating contours of 2D quadrilateral grids"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
+
+[package.dependencies]
+numpy = ">=1.16"
[package.extras]
-test = ["flake8 (==3.7.8)", "hypothesis (==3.55.3)"]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
[[package]]
-name = "cryptography"
-version = "35.0.0"
-description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+name = "coverage"
+version = "7.2.7"
+description = "Code coverage measurement for Python"
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
-cffi = ">=1.12"
+tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""}
[package.extras]
-docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"]
-docstest = ["doc8", "pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"]
-pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"]
-sdist = ["setuptools_rust (>=0.11.4)"]
-ssh = ["bcrypt (>=3.1.5)"]
-test = ["pytest (>=6.2.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"]
+toml = ["tomli"]
[[package]]
-name = "cssselect"
-version = "1.1.0"
-description = "cssselect parses CSS3 Selectors and translates them to XPath 1.0"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
-name = "cssutils"
-version = "2.3.0"
-description = "A CSS Cascading Style Sheets library for Python"
-category = "main"
+name = "cryptography"
+version = "41.0.1"
+description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
+category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+cffi = ">=1.12"
[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "mock", "lxml", "cssselect", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources"]
+docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
+docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
+nox = ["nox"]
+pep8test = ["black", "check-sdist", "mypy", "ruff"]
+sdist = ["build"]
+ssh = ["bcrypt (>=3.1.5)"]
+test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test-randomorder = ["pytest-randomly"]
+
+[[package]]
+name = "csscompressor"
+version = "0.9.5"
+description = "A python port of YUI CSS Compressor"
+category = "dev"
+optional = false
+python-versions = "*"
[[package]]
name = "cycler"
-version = "0.10.0"
+version = "0.11.0"
description = "Composable style cycles"
category = "main"
optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
+python-versions = ">=3.6"
[[package]]
name = "decorator"
-version = "5.1.0"
+version = "5.1.1"
description = "Decorators for Humans"
category = "main"
optional = false
@@ -243,7 +236,7 @@ python-versions = ">=3.5"
[[package]]
name = "distlib"
-version = "0.3.3"
+version = "0.3.6"
description = "Distribution utilities"
category = "dev"
optional = false
@@ -251,110 +244,178 @@ python-versions = "*"
[[package]]
name = "docutils"
-version = "0.17.1"
+version = "0.20.1"
description = "Docutils -- Python Documentation Utilities"
category = "dev"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.7"
[[package]]
name = "dotty-dict"
-version = "1.3.0"
+version = "1.3.1"
description = "Dictionary wrapper for quick access to deeply nested keys."
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.5,<4.0"
-[package.dependencies]
-setuptools_scm = "*"
+[[package]]
+name = "exceptiongroup"
+version = "1.1.2"
+description = "Backport of PEP 654 (exception groups)"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+test = ["pytest (>=6)"]
[[package]]
-name = "emails"
-version = "0.6"
-description = "Modern python library for emails."
+name = "executing"
+version = "1.2.0"
+description = "Get the currently executing AST node of a frame, and other information"
category = "main"
optional = false
python-versions = "*"
-[package.dependencies]
-chardet = "*"
-cssutils = "*"
-lxml = "*"
-premailer = "*"
-python-dateutil = "*"
-requests = "*"
+[package.extras]
+tests = ["asttokens", "littleutils", "pytest", "rich"]
[[package]]
-name = "entrypoints"
-version = "0.3"
-description = "Discover and load entry points from installed packages."
-category = "dev"
+name = "filelock"
+version = "3.12.2"
+description = "A platform independent file lock."
+category = "main"
optional = false
-python-versions = ">=2.7"
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo (>=2023.5.20)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "diff-cover (>=7.5)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
[[package]]
-name = "filelock"
-version = "3.3.0"
-description = "A platform independent file lock."
+name = "fonttools"
+version = "4.40.0"
+description = "Tools to manipulate font files"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
[package.extras]
-docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
-testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.0.0)", "xattr", "zopfli (>=0.1.4)"]
+graphite = ["lz4 (>=1.7.4.2)"]
+interpolatable = ["munkres", "scipy"]
+lxml = ["lxml (>=4.0,<5)"]
+pathops = ["skia-pathops (>=0.5.0)"]
+plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
+symfont = ["sympy"]
+type1 = ["xattr"]
+ufo = ["fs (>=2.2.0,<3)"]
+unicode = ["unicodedata2 (>=15.0.0)"]
+woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
+
+[[package]]
+name = "frozenlist"
+version = "1.3.3"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "ghp-import"
+version = "2.1.0"
+description = "Copy your docs directly to the gh-pages branch."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+python-dateutil = ">=2.8.1"
+
+[package.extras]
+dev = ["flake8", "markdown", "twine", "wheel"]
[[package]]
name = "gitdb"
-version = "4.0.7"
+version = "4.0.10"
description = "Git Object Database"
category = "dev"
optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.7"
[package.dependencies]
-smmap = ">=3.0.1,<5"
+smmap = ">=3.0.1,<6"
[[package]]
name = "gitpython"
-version = "3.1.24"
-description = "GitPython is a python library used to interact with Git repositories"
+version = "3.1.31"
+description = "GitPython is a Python library used to interact with Git repositories"
category = "dev"
optional = false
python-versions = ">=3.7"
[package.dependencies]
gitdb = ">=4.0.1,<5"
-typing-extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.10\""}
+
+[[package]]
+name = "griffe"
+version = "0.31.0"
+description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
+category = "dev"
+optional = false
+python-versions = ">=3.8"
+
+[package.dependencies]
+colorama = ">=0.4"
[[package]]
name = "grpcio"
-version = "1.41.0"
+version = "1.49.1"
description = "HTTP/2-based RPC framework"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
[package.dependencies]
six = ">=1.5.2"
[package.extras]
-protobuf = ["grpcio-tools (>=1.41.0)"]
+protobuf = ["grpcio-tools (>=1.49.1)"]
+
+[[package]]
+name = "grpcio"
+version = "1.51.3"
+description = "HTTP/2-based RPC framework"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.51.3)"]
+
+[[package]]
+name = "htmlmin2"
+version = "0.1.13"
+description = "An HTML Minifier"
+category = "dev"
+optional = false
+python-versions = "*"
[[package]]
name = "identify"
-version = "2.3.0"
+version = "2.5.24"
description = "File identification library for Python"
category = "dev"
optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
[package.extras]
-license = ["editdistance-s"]
+license = ["ukkonen"]
[[package]]
name = "idna"
-version = "3.2"
+version = "3.4"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "main"
optional = false
@@ -362,55 +423,58 @@ python-versions = ">=3.5"
[[package]]
name = "importlib-metadata"
-version = "4.8.1"
+version = "6.8.0"
description = "Read metadata from Python packages"
-category = "main"
+category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
[package.dependencies]
-typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
zipp = ">=0.5"
[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pep517", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy", "importlib-resources (>=1.3)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
[[package]]
-name = "invoke"
-version = "1.6.0"
-description = "Pythonic task execution"
-category = "dev"
+name = "importlib-resources"
+version = "6.0.0"
+description = "Read resources from Python packages"
+category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
[[package]]
-name = "ipykernel"
-version = "5.5.6"
-description = "IPython Kernel for Jupyter"
+name = "iniconfig"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
category = "dev"
optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-appnope = {version = "*", markers = "platform_system == \"Darwin\""}
-ipython = ">=5.0.0"
-ipython-genutils = "*"
-jupyter-client = "*"
-tornado = ">=4.2"
-traitlets = ">=4.1.0"
+python-versions = ">=3.7"
-[package.extras]
-test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
+[[package]]
+name = "invoke"
+version = "2.1.3"
+description = "Pythonic task execution"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
[[package]]
name = "ipython"
-version = "7.28.0"
+version = "8.14.0"
description = "IPython: Productive Interactive Computing"
category = "main"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
[package.dependencies]
appnope = {version = "*", markers = "sys_platform == \"darwin\""}
@@ -421,46 +485,57 @@ jedi = ">=0.16"
matplotlib-inline = "*"
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
pickleshare = "*"
-prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
-pygments = "*"
-traitlets = ">=4.2"
+prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
+pygments = ">=2.4.0"
+stack-data = "*"
+traitlets = ">=5"
+typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
[package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.17)", "pygments", "qtconsole", "requests", "testpath"]
-doc = ["Sphinx (>=1.3)"]
+all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+black = ["black"]
+doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
kernel = ["ipykernel"]
nbconvert = ["nbconvert"]
nbformat = ["nbformat"]
-notebook = ["notebook", "ipywidgets"]
+notebook = ["ipywidgets", "notebook"]
parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.17)"]
+test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
[[package]]
-name = "ipython-genutils"
-version = "0.2.0"
-description = "Vestigial utilities from IPython"
+name = "isort"
+version = "5.12.0"
+description = "A Python utility / library to sort Python imports."
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.8.0"
+
+[package.extras]
+colors = ["colorama (>=0.4.3)"]
+pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
+plugins = ["setuptools"]
+requirements-deprecated-finder = ["pip-api", "pipreqs"]
[[package]]
-name = "isort"
-version = "5.9.3"
-description = "A Python utility / library to sort Python imports."
+name = "jaraco-classes"
+version = "3.2.3"
+description = "Utility functions for Python class constructs"
category = "dev"
optional = false
-python-versions = ">=3.6.1,<4.0"
+python-versions = ">=3.7"
+
+[package.dependencies]
+more-itertools = "*"
[package.extras]
-pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
-requirements_deprecated_finder = ["pipreqs", "pip-api"]
-colors = ["colorama (>=0.4.3,<0.5.0)"]
-plugins = ["setuptools"]
+docs = ["jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
[[package]]
name = "jedi"
-version = "0.18.0"
+version = "0.18.2"
description = "An autocompletion tool for Python that can be used for text editors."
category = "main"
optional = false
@@ -470,28 +545,29 @@ python-versions = ">=3.6"
parso = ">=0.8.0,<0.9.0"
[package.extras]
+docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
+testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]]
name = "jeepney"
-version = "0.7.1"
+version = "0.8.0"
description = "Low-level, pure Python DBus protocol wrapper."
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.extras]
-test = ["pytest", "pytest-trio", "pytest-asyncio", "testpath", "trio", "async-timeout"]
-trio = ["trio", "async-generator"]
+test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
+trio = ["async_generator", "trio"]
[[package]]
name = "jinja2"
-version = "3.0.2"
+version = "3.1.2"
description = "A very fast and expressive template engine."
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
MarkupSafe = ">=2.0"
@@ -501,175 +577,144 @@ i18n = ["Babel (>=2.7)"]
[[package]]
name = "joblib"
-version = "1.1.0"
+version = "1.3.1"
description = "Lightweight pipelining with Python functions"
category = "main"
optional = false
-python-versions = ">=3.6"
-
-[[package]]
-name = "jsonschema"
-version = "4.1.0"
-description = "An implementation of JSON Schema validation for Python"
-category = "dev"
-optional = false
python-versions = ">=3.7"
-[package.dependencies]
-attrs = ">=17.4.0"
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
-
-[package.extras]
-format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
-
-[[package]]
-name = "jupyter-client"
-version = "7.0.6"
-description = "Jupyter protocol implementation and client libraries"
-category = "dev"
-optional = false
-python-versions = ">=3.6.1"
-
-[package.dependencies]
-entrypoints = "*"
-jupyter-core = ">=4.6.0"
-nest-asyncio = ">=1.5"
-python-dateutil = ">=2.1"
-pyzmq = ">=13"
-tornado = ">=4.1"
-traitlets = "*"
-
-[package.extras]
-doc = ["myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-commit", "pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "jedi (<0.18)"]
-
[[package]]
-name = "jupyter-core"
-version = "4.8.1"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
+name = "jsmin"
+version = "3.0.1"
+description = "JavaScript minifier."
category = "dev"
optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
-traitlets = "*"
+python-versions = "*"
[[package]]
-name = "jupytext"
-version = "1.13.0"
-description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
-category = "dev"
+name = "jsonschema"
+version = "4.18.0"
+description = "An implementation of JSON Schema validation for Python"
+category = "main"
optional = false
-python-versions = "~=3.6"
+python-versions = ">=3.8"
[package.dependencies]
-markdown-it-py = ">=1.0,<2.0"
-mdit-py-plugins = "*"
-nbformat = "*"
-pyyaml = "*"
-toml = "*"
+attrs = ">=22.2.0"
+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
[package.extras]
-rst2md = ["sphinx-gallery (>=0.7.0,<0.8.0)"]
-toml = ["toml"]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
[[package]]
-name = "kaleido"
-version = "0.2.1"
-description = "Static image export for web-based visualization libraries with zero dependencies"
+name = "jsonschema-specifications"
+version = "2023.6.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
+
+[package.dependencies]
+referencing = ">=0.28.0"
[[package]]
name = "keyring"
-version = "23.2.1"
+version = "24.2.0"
description = "Store and access your passwords safely."
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
[package.dependencies]
-importlib-metadata = ">=3.6"
+importlib-metadata = {version = ">=4.11.4", markers = "python_version < \"3.12\""}
+"jaraco.classes" = "*"
jeepney = {version = ">=0.4.2", markers = "sys_platform == \"linux\""}
-pywin32-ctypes = {version = "<0.1.0 || >0.1.0,<0.1.1 || >0.1.1", markers = "sys_platform == \"win32\""}
+pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""}
SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"]
+completion = ["shtab"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
[[package]]
name = "kiwisolver"
-version = "1.3.2"
+version = "1.4.4"
description = "A fast implementation of the Cassowary constraint solver"
category = "main"
optional = false
python-versions = ">=3.7"
[[package]]
-name = "lxml"
-version = "4.6.3"
-description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
-category = "main"
+name = "markdown"
+version = "3.3.7"
+description = "Python implementation of Markdown."
+category = "dev"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
+python-versions = ">=3.6"
+
+[package.dependencies]
+importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
[package.extras]
-cssselect = ["cssselect (>=0.7)"]
-html5 = ["html5lib"]
-htmlsoup = ["beautifulsoup4"]
-source = ["Cython (>=0.29.7)"]
+testing = ["coverage", "pyyaml"]
[[package]]
name = "markdown-it-py"
-version = "1.1.0"
+version = "3.0.0"
description = "Python port of markdown-it. Markdown parsing, done right!"
-category = "dev"
+category = "main"
optional = false
-python-versions = "~=3.6"
+python-versions = ">=3.8"
[package.dependencies]
-attrs = ">=19,<22"
-typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
+mdurl = ">=0.1,<1.0"
[package.extras]
-code_style = ["pre-commit (==2.6)"]
-compare = ["commonmark (>=0.9.1,<0.10.0)", "markdown (>=3.2.2,<3.3.0)", "mistletoe-ebp (>=0.10.0,<0.11.0)", "mistune (>=0.8.4,<0.9.0)", "panflute (>=1.12,<2.0)"]
-linkify = ["linkify-it-py (>=1.0,<2.0)"]
+benchmarking = ["psutil", "pytest", "pytest-benchmark"]
+code-style = ["pre-commit (>=3.0,<4.0)"]
+compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"]
+linkify = ["linkify-it-py (>=1,<3)"]
plugins = ["mdit-py-plugins"]
-rtd = ["myst-nb (==0.13.0a1)", "pyyaml", "sphinx (>=2,<4)", "sphinx-copybutton", "sphinx-panels (>=0.4.0,<0.5.0)", "sphinx-book-theme"]
-testing = ["coverage", "psutil", "pytest (>=3.6,<4)", "pytest-benchmark (>=3.2,<4.0)", "pytest-cov", "pytest-regressions"]
+profiling = ["gprof2dot"]
+rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"]
+testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
[[package]]
name = "markupsafe"
-version = "2.0.1"
+version = "2.1.3"
description = "Safely add untrusted strings to HTML/XML markup."
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[[package]]
name = "matplotlib"
-version = "3.1.1"
+version = "3.7.2"
description = "Python plotting package"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
[package.dependencies]
+contourpy = ">=1.0.1"
cycler = ">=0.10"
+fonttools = ">=4.22.0"
+importlib-resources = {version = ">=3.2.0", markers = "python_version < \"3.10\""}
kiwisolver = ">=1.0.1"
-numpy = ">=1.11"
-pyparsing = ">=2.0.1,<2.0.4 || >2.0.4,<2.1.2 || >2.1.2,<2.1.6 || >2.1.6"
-python-dateutil = ">=2.1"
+numpy = ">=1.20"
+packaging = ">=20.0"
+pillow = ">=6.2.0"
+pyparsing = ">=2.3.1,<3.1"
+python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
[[package]]
name = "matplotlib-inline"
-version = "0.1.3"
+version = "0.1.6"
description = "Inline Matplotlib backend for Jupyter"
category = "main"
optional = false
@@ -679,136 +724,323 @@ python-versions = ">=3.5"
traitlets = "*"
[[package]]
-name = "mdit-py-plugins"
-version = "0.2.8"
-description = "Collection of plugins for markdown-it-py"
+name = "mdurl"
+version = "0.1.2"
+description = "Markdown URL utilities"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "mdx-truly-sane-lists"
+version = "1.3"
+description = "Extension for Python-Markdown that makes lists truly sane. Custom indents for nested lists and fix for messy linebreaks."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+Markdown = ">=2.6"
+
+[[package]]
+name = "mergedeep"
+version = "1.3.4"
+description = "A deep merge function for đ."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "mike"
+version = "1.1.2"
+description = "Manage multiple versions of your MkDocs-powered documentation"
category = "dev"
optional = false
-python-versions = "~=3.6"
+python-versions = "*"
+
+[package.dependencies]
+jinja2 = "*"
+mkdocs = ">=1.0"
+pyyaml = ">=5.1"
+verspec = "*"
+
+[package.extras]
+dev = ["coverage", "flake8 (>=3.0)", "shtab"]
+test = ["coverage", "flake8 (>=3.0)", "shtab"]
+
+[[package]]
+name = "mkdocs"
+version = "1.4.3"
+description = "Project documentation with Markdown."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
[package.dependencies]
-markdown-it-py = ">=1.0,<2.0"
+click = ">=7.0"
+colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
+ghp-import = ">=1.0"
+importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
+jinja2 = ">=2.11.1"
+markdown = ">=3.2.1,<3.4"
+mergedeep = ">=1.3.4"
+packaging = ">=20.5"
+pyyaml = ">=5.1"
+pyyaml-env-tag = ">=0.1"
+watchdog = ">=2.0"
[package.extras]
-code_style = ["pre-commit (==2.6)"]
-rtd = ["myst-parser (==0.14.0a3)", "sphinx-book-theme (>=0.1.0,<0.2.0)"]
-testing = ["coverage", "pytest (>=3.6,<4)", "pytest-cov", "pytest-regressions"]
+i18n = ["babel (>=2.9.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
+
+[[package]]
+name = "mkdocs-autorefs"
+version = "0.4.1"
+description = "Automatically link across pages in MkDocs."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+Markdown = ">=3.3"
+mkdocs = ">=1.1"
+
+[[package]]
+name = "mkdocs-material"
+version = "9.1.18"
+description = "Documentation that simply works"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+colorama = ">=0.4"
+jinja2 = ">=3.0"
+markdown = ">=3.2"
+mkdocs = ">=1.4.2"
+mkdocs-material-extensions = ">=1.1"
+pygments = ">=2.14"
+pymdown-extensions = ">=9.9.1"
+regex = ">=2022.4.24"
+requests = ">=2.26"
+
+[[package]]
+name = "mkdocs-material-extensions"
+version = "1.1.1"
+description = "Extension pack for Python Markdown and MkDocs Material."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "mkdocs-minify-plugin"
+version = "0.6.4"
+description = "An MkDocs plugin to minify HTML, JS or CSS files prior to being written to disk"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+csscompressor = ">=0.9.5"
+htmlmin2 = ">=0.1.13"
+jsmin = ">=3.0.1"
+mkdocs = ">=1.4.1"
+
+[[package]]
+name = "mkdocs-redirects"
+version = "1.2.0"
+description = "A MkDocs plugin for dynamic page redirects to prevent broken links."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+mkdocs = ">=1.1.1"
+
+[package.extras]
+dev = ["autoflake", "black", "isort", "pytest", "twine (>=1.13.0)"]
+release = ["twine (>=1.13.0)"]
+test = ["autoflake", "black", "isort", "pytest"]
+
+[[package]]
+name = "mkdocstrings"
+version = "0.22.0"
+description = "Automatic documentation from sources, for MkDocs."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
+Jinja2 = ">=2.11.1"
+Markdown = ">=3.3"
+MarkupSafe = ">=1.1"
+mkdocs = ">=1.2"
+mkdocs-autorefs = ">=0.3.1"
+mkdocstrings-python = {version = ">=0.5.2", optional = true, markers = "extra == \"python\""}
+pymdown-extensions = ">=6.3"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
+
+[package.extras]
+crystal = ["mkdocstrings-crystal (>=0.3.4)"]
+python = ["mkdocstrings-python (>=0.5.2)"]
+python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
+
+[[package]]
+name = "mkdocstrings-python"
+version = "1.1.2"
+description = "A Python handler for mkdocstrings."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+griffe = ">=0.24"
+mkdocstrings = ">=0.20"
+
+[[package]]
+name = "more-itertools"
+version = "9.1.0"
+description = "More routines for operating on iterables, beyond itertools"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
[[package]]
name = "mpmath"
-version = "1.2.1"
+version = "1.3.0"
description = "Python library for arbitrary-precision floating-point arithmetic"
category = "main"
optional = false
python-versions = "*"
[package.extras]
-develop = ["pytest (>=4.6)", "pycodestyle", "pytest-cov", "codecov", "wheel"]
+develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
+docs = ["sphinx"]
+gmpy = ["gmpy2 (>=2.1.0a4)"]
tests = ["pytest (>=4.6)"]
[[package]]
name = "msgpack"
-version = "1.0.2"
-description = "MessagePack (de)serializer."
+version = "1.0.5"
+description = "MessagePack serializer"
category = "main"
optional = false
python-versions = "*"
[[package]]
-name = "mypy-extensions"
-version = "0.4.3"
-description = "Experimental type system extensions for programs checked with the mypy typechecker."
-category = "dev"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "nbformat"
-version = "5.1.3"
-description = "The Jupyter Notebook format"
+name = "mypy"
+version = "1.4.1"
+description = "Optional static typing for Python"
category = "dev"
optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
[package.dependencies]
-ipython-genutils = "*"
-jsonschema = ">=2.4,<2.5.0 || >2.5.0"
-jupyter-core = "*"
-traitlets = ">=4.1"
+mypy-extensions = ">=1.0.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing-extensions = ">=4.1.0"
[package.extras]
-fast = ["fastjsonschema"]
-test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
+dmypy = ["psutil (>=4.0)"]
+install-types = ["pip"]
+python2 = ["typed-ast (>=1.4.0,<2)"]
+reports = ["lxml"]
[[package]]
-name = "nest-asyncio"
-version = "1.5.1"
-description = "Patch asyncio to allow nested event loops"
+name = "mypy-extensions"
+version = "1.0.0"
+description = "Type system extensions for programs checked with the mypy type checker."
category = "dev"
optional = false
python-versions = ">=3.5"
[[package]]
name = "networkx"
-version = "2.6.3"
+version = "3.1"
description = "Python package for creating and manipulating graphs and networks"
category = "main"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
[package.extras]
-default = ["numpy (>=1.19)", "scipy (>=1.5,!=1.6.1)", "matplotlib (>=3.3)", "pandas (>=1.1)"]
-developer = ["black (==21.5b1)", "pre-commit (>=2.12)"]
-doc = ["sphinx (>=4.0,<5.0)", "pydata-sphinx-theme (>=0.6,<1.0)", "sphinx-gallery (>=0.9,<1.0)", "numpydoc (>=1.1)", "pillow (>=8.2)", "nb2plots (>=0.6)", "texext (>=0.6.6)"]
-extra = ["lxml (>=4.5)", "pygraphviz (>=1.7)", "pydot (>=1.4.1)"]
-test = ["pytest (>=6.2)", "pytest-cov (>=2.12)", "codecov (>=2.1)"]
+default = ["matplotlib (>=3.4)", "numpy (>=1.20)", "pandas (>=1.3)", "scipy (>=1.8)"]
+developer = ["mypy (>=1.1)", "pre-commit (>=3.2)"]
+doc = ["nb2plots (>=0.6)", "numpydoc (>=1.5)", "pillow (>=9.4)", "pydata-sphinx-theme (>=0.13)", "sphinx (>=6.1)", "sphinx-gallery (>=0.12)", "texext (>=0.6.7)"]
+extra = ["lxml (>=4.6)", "pydot (>=1.4.2)", "pygraphviz (>=1.10)", "sympy (>=1.10)"]
+test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
[[package]]
name = "nodeenv"
-version = "1.6.0"
+version = "1.8.0"
description = "Node.js virtual environment builder"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+
+[package.dependencies]
+setuptools = "*"
[[package]]
name = "numpy"
-version = "1.21.1"
-description = "NumPy is the fundamental package for array computing with Python."
+version = "1.25.0"
+description = "Fundamental package for array computing in Python"
category = "main"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
[[package]]
name = "packaging"
-version = "21.0"
+version = "23.1"
description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pyparsing = ">=2.0.2"
+python-versions = ">=3.7"
[[package]]
name = "pandas"
-version = "1.3.3"
+version = "2.0.3"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
[package.dependencies]
-numpy = ">=1.17.3"
-python-dateutil = ">=2.7.3"
-pytz = ">=2017.3"
+numpy = [
+ {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+ {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+ {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+]
+python-dateutil = ">=2.8.2"
+pytz = ">=2020.1"
+tzdata = ">=2022.1"
[package.extras]
-test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
+all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
+aws = ["s3fs (>=2021.08.0)"]
+clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
+compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
+computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
+feather = ["pyarrow (>=7.0.0)"]
+fss = ["fsspec (>=2021.07.0)"]
+gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
+hdf5 = ["tables (>=3.6.1)"]
+html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
+mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
+parquet = ["pyarrow (>=7.0.0)"]
+performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
+plot = ["matplotlib (>=3.6.1)"]
+postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
+spss = ["pyreadstat (>=1.1.2)"]
+sql-other = ["SQLAlchemy (>=1.4.16)"]
+test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.6.3)"]
[[package]]
name = "parso"
-version = "0.8.2"
+version = "0.8.3"
description = "A Python Parser"
category = "main"
optional = false
@@ -818,13 +1050,21 @@ python-versions = ">=3.6"
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["docopt", "pytest (<6.0.0)"]
+[[package]]
+name = "pastel"
+version = "0.2.1"
+description = "Bring colors to your terminal."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+
[[package]]
name = "pathspec"
-version = "0.9.0"
+version = "0.11.1"
description = "Utility library for gitignore style pattern matching of file paths."
category = "dev"
optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.7"
[[package]]
name = "pexpect"
@@ -847,101 +1087,119 @@ python-versions = "*"
[[package]]
name = "pillow"
-version = "8.3.2"
+version = "10.0.0"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
+
+[package.extras]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
[[package]]
name = "pkginfo"
-version = "1.7.1"
-description = "Query metadatdata from sdists / bdists / installed packages."
+version = "1.9.6"
+description = "Query metadata from sdists / bdists / installed packages."
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[package.extras]
-testing = ["nose", "coverage"]
+testing = ["pytest", "pytest-cov"]
[[package]]
name = "platformdirs"
-version = "2.4.0"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+version = "3.8.1"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.extras]
-docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-autodoc-typehints (>=1.23,!=1.23.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.3.1)", "pytest-cov (>=4.1)", "pytest-mock (>=3.10)"]
[[package]]
name = "plotly"
-version = "4.14.3"
+version = "5.15.0"
description = "An open-source, interactive data visualization library for Python"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[package.dependencies]
-retrying = ">=1.3.3"
-six = "*"
+packaging = "*"
+tenacity = ">=6.2.0"
[[package]]
-name = "pre-commit"
-version = "2.15.0"
-description = "A framework for managing and maintaining multi-language pre-commit hooks."
+name = "pluggy"
+version = "1.2.0"
+description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
+
+[[package]]
+name = "poethepoet"
+version = "0.20.0"
+description = "A task runner that works well with poetry."
+category = "dev"
+optional = false
+python-versions = ">=3.8"
[package.dependencies]
-cfgv = ">=2.0.0"
-identify = ">=1.0.0"
-importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
-nodeenv = ">=0.11.1"
-pyyaml = ">=5.1"
-toml = "*"
-virtualenv = ">=20.0.8"
+pastel = ">=0.2.1,<0.3.0"
+tomli = ">=1.2.2"
+
+[package.extras]
+poetry-plugin = ["poetry (>=1.0,<2.0)"]
[[package]]
-name = "premailer"
-version = "3.10.0"
-description = "Turns CSS blocks into style attributes"
-category = "main"
+name = "pprintpp"
+version = "0.4.0"
+description = "A drop-in replacement for pprint that's actually pretty"
+category = "dev"
optional = false
python-versions = "*"
-[package.dependencies]
-cachetools = "*"
-cssselect = "*"
-cssutils = "*"
-lxml = "*"
-requests = "*"
+[[package]]
+name = "pre-commit"
+version = "3.3.3"
+description = "A framework for managing and maintaining multi-language pre-commit hooks."
+category = "dev"
+optional = false
+python-versions = ">=3.8"
-[package.extras]
-dev = ["tox", "twine", "therapist", "black", "flake8", "wheel"]
-test = ["nose", "mock"]
+[package.dependencies]
+cfgv = ">=2.0.0"
+identify = ">=1.0.0"
+nodeenv = ">=0.11.1"
+pyyaml = ">=5.1"
+virtualenv = ">=20.10.0"
[[package]]
name = "prompt-toolkit"
-version = "3.0.20"
+version = "3.0.39"
description = "Library for building powerful interactive command lines in Python"
category = "main"
optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7.0"
[package.dependencies]
wcwidth = "*"
[[package]]
name = "protobuf"
-version = "3.18.1"
-description = "Protocol Buffers"
+version = "4.23.4"
+description = ""
category = "main"
optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
[[package]]
name = "ptyprocess"
@@ -952,90 +1210,120 @@ optional = false
python-versions = "*"
[[package]]
-name = "py"
-version = "1.10.0"
-description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "dev"
+name = "pure-eval"
+version = "0.2.2"
+description = "Safely evaluate AST nodes without side effects"
+category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = "*"
+
+[package.extras]
+tests = ["pytest"]
[[package]]
name = "pycparser"
-version = "2.20"
+version = "2.21"
description = "C parser in Python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
-name = "pydot"
-version = "1.4.2"
-description = "Python interface to Graphviz's Dot"
+name = "pygments"
+version = "2.15.1"
+description = "Pygments is a syntax highlighting package written in Python."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.7"
-[package.dependencies]
-pyparsing = ">=2.1.4"
+[package.extras]
+plugins = ["importlib-metadata"]
[[package]]
-name = "pydotplus"
-version = "2.0.2"
-description = "Python interface to Graphviz's Dot language"
-category = "main"
+name = "pymdown-extensions"
+version = "10.0.1"
+description = "Extension pack for Python Markdown."
+category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
[package.dependencies]
-pyparsing = ">=2.0.1"
+markdown = ">=3.2"
+pyyaml = "*"
[[package]]
-name = "pygments"
-version = "2.10.0"
-description = "Pygments is a syntax highlighting package written in Python."
+name = "pyparsing"
+version = "3.0.9"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
category = "main"
optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6.8"
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
[[package]]
-name = "PyINSECT"
-version = "0.0.39"
-description = ""
-category = "main"
+name = "pytest"
+version = "7.4.0"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
optional = false
-python-versions = ">= 3.6"
-develop = false
+python-versions = ">=3.7"
[package.dependencies]
-networkx = ">=2.5.1"
-pydot = ">=1.4.2"
-pydotplus = ">=2.0.2"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
+iniconfig = "*"
+packaging = "*"
+pluggy = ">=0.12,<2.0"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
[package.extras]
-dev = ["flake8", "isort", "black", "pre-commit", "concurrent-log-handler"]
-viz = ["pygraphviz (>=1.7)", "matplotlib (<=3.1.1)"]
+testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+
+[[package]]
+name = "pytest-clarity"
+version = "1.0.1"
+description = "A plugin providing an alternative, colourful diff output for failing assertions."
+category = "dev"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-[package.source]
-type = "git"
-url = "https://github.com/ggianna/PyINSECT.git"
-reference = "master"
-resolved_reference = "517cc6e51b6aeaa93772af0fd7bb75a7f240b1a3"
+[package.dependencies]
+pprintpp = ">=0.4.0"
+pytest = ">=3.5.0"
+rich = ">=8.0.0"
[[package]]
-name = "pyparsing"
-version = "2.4.7"
-description = "Python parsing module"
-category = "main"
+name = "pytest-cov"
+version = "4.1.0"
+description = "Pytest plugin for measuring coverage."
+category = "dev"
optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = ">=3.7"
+
+[package.dependencies]
+coverage = {version = ">=5.2.1", extras = ["toml"]}
+pytest = ">=4.6"
+
+[package.extras]
+testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtualenv"]
[[package]]
-name = "pyrsistent"
-version = "0.18.0"
-description = "Persistent/Functional/Immutable data structures"
+name = "pytest-sugar"
+version = "0.9.7"
+description = "pytest-sugar is a plugin for pytest that changes the default look and feel of pytest (e.g. progressbar, show tests that fail instantly)."
category = "dev"
optional = false
-python-versions = ">=3.6"
+python-versions = "*"
+
+[package.dependencies]
+packaging = ">=21.3"
+pytest = ">=6.2.0"
+termcolor = ">=2.1.0"
+
+[package.extras]
+dev = ["black", "flake8", "pre-commit"]
[[package]]
name = "python-dateutil"
@@ -1050,23 +1338,23 @@ six = ">=1.5"
[[package]]
name = "python-gitlab"
-version = "2.10.1"
+version = "3.15.0"
description = "Interact with GitLab API"
category = "dev"
optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
[package.dependencies]
requests = ">=2.25.0"
-requests-toolbelt = ">=0.9.1"
+requests-toolbelt = ">=0.10.1"
[package.extras]
-autocompletion = ["argcomplete (>=1.10.0,<2)"]
+autocompletion = ["argcomplete (>=1.10.0,<3)"]
yaml = ["PyYaml (>=5.2)"]
[[package]]
name = "python-semantic-release"
-version = "7.19.2"
+version = "7.34.6"
description = "Automatic Semantic Versioning for Python projects"
category = "dev"
optional = false
@@ -1077,106 +1365,104 @@ click = ">=7,<9"
click-log = ">=0.3,<1"
dotty-dict = ">=1.3.0,<2"
gitpython = ">=3.0.8,<4"
-invoke = ">=1.4.1,<2"
-python-gitlab = ">=1.10,<3"
+invoke = ">=1.4.1,<3"
+packaging = "*"
+python-gitlab = ">=2,<4"
requests = ">=2.25,<3"
semver = ">=2.10,<3"
-tomlkit = "0.7.0"
+tomlkit = ">=0.10,<1.0"
twine = ">=3,<4"
+wheel = "*"
[package.extras]
-dev = ["tox", "isort", "black"]
-docs = ["Sphinx (==1.3.6)"]
+dev = ["black", "isort", "tox"]
+docs = ["Jinja2 (==3.0.3)", "Sphinx (==1.8.6)"]
mypy = ["mypy", "types-requests"]
-test = ["coverage (>=5,<6)", "pytest (>=5,<6)", "pytest-xdist (>=1,<2)", "pytest-mock (>=2,<3)", "responses (==0.13.3)", "mock (==1.3.0)"]
+test = ["coverage (>=5,<6)", "mock (==1.3.0)", "pytest (>=7,<8)", "pytest-mock (>=2,<3)", "pytest-xdist (>=1,<2)", "responses (==0.13.3)"]
[[package]]
name = "pytz"
-version = "2021.3"
+version = "2023.3"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"
-[[package]]
-name = "pywin32"
-version = "302"
-description = "Python for Window Extensions"
-category = "dev"
-optional = false
-python-versions = "*"
-
[[package]]
name = "pywin32-ctypes"
-version = "0.2.0"
-description = ""
+version = "0.2.2"
+description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[[package]]
name = "pyyaml"
-version = "5.4.1"
+version = "6.0"
description = "YAML parser and emitter for Python"
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.6"
[[package]]
-name = "pyzmq"
-version = "22.3.0"
-description = "Python bindings for 0MQ"
+name = "pyyaml-env-tag"
+version = "0.1"
+description = "A custom YAML tag for referencing environment variables in YAML files. "
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
-cffi = {version = "*", markers = "implementation_name == \"pypy\""}
-py = {version = "*", markers = "implementation_name == \"pypy\""}
+pyyaml = "*"
[[package]]
name = "ray"
-version = "1.7.0"
+version = "2.5.1"
description = "Ray provides a simple, universal API for building distributed applications."
category = "main"
optional = false
python-versions = "*"
[package.dependencies]
+aiosignal = "*"
attrs = "*"
click = ">=7.0"
filelock = "*"
-grpcio = ">=1.28.1"
-msgpack = ">=1.0.0,<2.0.0"
-numpy = [
- {version = ">=1.16", markers = "python_version < \"3.9\""},
- {version = ">=1.19.3", markers = "python_version >= \"3.9\""},
+frozenlist = "*"
+grpcio = [
+ {version = ">=1.32.0,<=1.51.3", markers = "python_version < \"3.10\" and sys_platform != \"darwin\""},
+ {version = ">=1.32.0,<=1.49.1", markers = "python_version < \"3.10\" and sys_platform == \"darwin\""},
+ {version = ">=1.42.0,<=1.51.3", markers = "python_version >= \"3.10\" and sys_platform != \"darwin\""},
+ {version = ">=1.42.0,<=1.49.1", markers = "python_version >= \"3.10\" and sys_platform == \"darwin\""},
]
-pandas = {version = "*", optional = true, markers = "extra == \"tune\""}
-protobuf = ">=3.15.3"
+jsonschema = "*"
+msgpack = ">=1.0.0,<2.0.0"
+numpy = {version = ">=1.19.3", markers = "python_version >= \"3.9\""}
+packaging = "*"
+protobuf = ">=3.15.3,<3.19.5 || >3.19.5"
pyyaml = "*"
-redis = ">=3.5.0"
-requests = {version = "*", optional = true, markers = "extra == \"tune\""}
-tabulate = {version = "*", optional = true, markers = "extra == \"tune\""}
-tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\""}
+requests = "*"
[package.extras]
-all = ["tensorboardX (>=1.9)", "aiohttp", "starlette", "dm-tree", "requests", "kubernetes", "matplotlib (!=3.4.3)", "aioredis (<2)", "uvicorn", "fastapi", "gym", "scikit-image", "pandas", "tabulate", "pyyaml", "jsonschema", "gpustat", "scipy", "opentelemetry-api (==1.1.0)", "colorful", "prometheus-client (>=0.7.1)", "opentelemetry-sdk (==1.1.0)", "lz4", "aiohttp-cors", "py-spy (>=0.2.0)", "ray-cpp (==1.7.0)", "opencensus", "opentelemetry-exporter-otlp (==1.1.0)", "urllib3"]
-cpp = ["ray-cpp (==1.7.0)"]
-default = ["aiohttp", "aiohttp-cors", "aioredis (<2)", "colorful", "py-spy (>=0.2.0)", "jsonschema", "requests", "gpustat", "opencensus", "prometheus-client (>=0.7.1)"]
+air = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "fsspec", "gpustat (>=1.0.0)", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "dm-tree", "fastapi", "fsspec", "gpustat (>=1.0.0)", "gymnasium (==0.26.3)", "kubernetes", "lz4", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic", "pyyaml", "ray-cpp (==2.5.1)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "urllib3", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"]
+cpp = ["ray-cpp (==2.5.1)"]
+data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
+default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "gpustat (>=1.0.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic", "requests", "smart-open", "virtualenv (>=20.0.24,<20.21.1)"]
k8s = ["kubernetes", "urllib3"]
-observability = ["opentelemetry-api (==1.1.0)", "opentelemetry-sdk (==1.1.0)", "opentelemetry-exporter-otlp (==1.1.0)"]
-rllib = ["pandas", "tabulate", "tensorboardX (>=1.9)", "requests", "dm-tree", "gym", "lz4", "matplotlib (!=3.4.3)", "scikit-image", "pyyaml", "scipy"]
-serve = ["uvicorn", "requests", "starlette", "fastapi"]
-tune = ["pandas", "tabulate", "tensorboardX (>=1.9)", "requests"]
+observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
+rllib = ["dm-tree", "gymnasium (==0.26.3)", "lz4", "pandas", "pyarrow (>=6.0.1)", "pyyaml", "requests", "rich", "scikit-image", "scipy", "tensorboardX (>=1.9)", "typer"]
+serve = ["aiohttp (>=3.7)", "aiohttp-cors", "aiorwlock", "colorful", "fastapi", "gpustat (>=1.0.0)", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic", "requests", "smart-open", "starlette", "uvicorn", "virtualenv (>=20.0.24,<20.21.1)"]
+train = ["pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
+tune = ["pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
[[package]]
name = "readme-renderer"
-version = "30.0"
+version = "40.0"
description = "readme_renderer is a library for rendering \"readme\" descriptions for Warehouse"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
[package.dependencies]
bleach = ">=2.1.0"
@@ -1184,129 +1470,138 @@ docutils = ">=0.13.1"
Pygments = ">=2.5.1"
[package.extras]
-md = ["cmarkgfm (>=0.5.0,<0.7.0)"]
+md = ["cmarkgfm (>=0.8.0)"]
[[package]]
-name = "redis"
-version = "3.5.3"
-description = "Python client for Redis key-value store"
+name = "referencing"
+version = "0.29.1"
+description = "JSON Referencing + Python"
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.8"
-[package.extras]
-hiredis = ["hiredis (>=0.1.3)"]
+[package.dependencies]
+attrs = ">=22.2.0"
+rpds-py = ">=0.7.0"
[[package]]
name = "regex"
-version = "2021.10.8"
+version = "2023.6.3"
description = "Alternative regular expression module, to replace re."
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[[package]]
name = "requests"
-version = "2.26.0"
+version = "2.31.0"
description = "Python HTTP for Humans."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.7"
[package.dependencies]
certifi = ">=2017.4.17"
-charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
-idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
-urllib3 = ">=1.21.1,<1.27"
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
+urllib3 = ">=1.21.1,<3"
[package.extras]
-socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
-use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
[[package]]
name = "requests-toolbelt"
-version = "0.9.1"
+version = "1.0.0"
description = "A utility belt for advanced users of python-requests"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.dependencies]
requests = ">=2.0.1,<3.0.0"
-[[package]]
-name = "retrying"
-version = "1.3.3"
-description = "Retrying"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = ">=1.7.0"
-
[[package]]
name = "rfc3986"
-version = "1.5.0"
+version = "2.0.0"
description = "Validating URI References per RFC 3986"
category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
[package.extras]
idna2008 = ["idna"]
[[package]]
name = "rich"
-version = "10.12.0"
+version = "13.4.2"
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
category = "main"
optional = false
-python-versions = ">=3.6.2,<4.0.0"
+python-versions = ">=3.7.0"
[package.dependencies]
-colorama = ">=0.4.0,<0.5.0"
-commonmark = ">=0.9.0,<0.10.0"
-pygments = ">=2.6.0,<3.0.0"
-typing-extensions = {version = ">=3.7.4,<4.0.0", markers = "python_version < \"3.8\""}
+markdown-it-py = ">=2.2.0"
+pygments = ">=2.13.0,<3.0.0"
[package.extras]
-jupyter = ["ipywidgets (>=7.5.1,<8.0.0)"]
+jupyter = ["ipywidgets (>=7.5.1,<9)"]
+
+[[package]]
+name = "rpds-py"
+version = "0.8.10"
+description = "Python bindings to Rust's persistent data structures (rpds)"
+category = "main"
+optional = false
+python-versions = ">=3.8"
+
+[[package]]
+name = "ruff"
+version = "0.0.277"
+description = "An extremely fast Python linter, written in Rust."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
[[package]]
name = "scikit-learn"
-version = "1.0"
+version = "1.3.0"
description = "A set of python modules for machine learning and data mining"
category = "main"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
[package.dependencies]
-joblib = ">=0.11"
-numpy = ">=1.14.6"
-scipy = ">=1.1.0"
+joblib = ">=1.1.1"
+numpy = ">=1.17.3"
+scipy = ">=1.5.0"
threadpoolctl = ">=2.0.0"
[package.extras]
-benchmark = ["matplotlib (>=2.2.2)", "pandas (>=0.25.0)", "memory-profiler (>=0.57.0)"]
-docs = ["matplotlib (>=2.2.2)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.0.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
-examples = ["matplotlib (>=2.2.2)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)"]
-tests = ["matplotlib (>=2.2.2)", "scikit-image (>=0.14.5)", "pandas (>=0.25.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=21.6b0)", "mypy (>=0.770)", "pyamg (>=4.0.0)"]
+benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
[[package]]
name = "scipy"
-version = "1.6.1"
-description = "SciPy: Scientific Library for Python"
+version = "1.9.3"
+description = "Fundamental algorithms for scientific computing in Python"
category = "main"
optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
[package.dependencies]
-numpy = ">=1.16.5"
+numpy = ">=1.18.5,<1.26.0"
+
+[package.extras]
+dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
+doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
+test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
[[package]]
name = "secretstorage"
-version = "3.3.1"
+version = "3.3.3"
description = "Python bindings to FreeDesktop.org Secret Service API"
category = "dev"
optional = false
@@ -1324,20 +1619,36 @@ category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+[[package]]
+name = "setuptools"
+version = "68.0.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
[[package]]
name = "setuptools-scm"
-version = "6.3.2"
+version = "7.1.0"
description = "the blessed package to manage your versions by scm tags"
-category = "dev"
+category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[package.dependencies]
packaging = ">=20.0"
-tomli = ">=1.0.0"
+setuptools = "*"
+tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
+typing-extensions = "*"
[package.extras]
-toml = ["setuptools (>=42)", "tomli (>=1.0.0)"]
+test = ["pytest (>=6.2)", "virtualenv (>20)"]
+toml = ["setuptools (>=42)"]
[[package]]
name = "six"
@@ -1348,132 +1659,128 @@ optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
[[package]]
-name = "sklearn"
-version = "0.0"
-description = "A set of python modules for machine learning and data mining"
+name = "smmap"
+version = "5.0.0"
+description = "A pure Python implementation of a sliding window memory map manager"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
+name = "stack-data"
+version = "0.6.2"
+description = "Extract data from python stack frames and tracebacks for informative displays"
category = "main"
optional = false
python-versions = "*"
[package.dependencies]
-scikit-learn = "*"
+asttokens = ">=2.1.0"
+executing = ">=1.2.0"
+pure-eval = "*"
-[[package]]
-name = "smmap"
-version = "4.0.0"
-description = "A pure Python implementation of a sliding window memory map manager"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
+[package.extras]
+tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
[[package]]
name = "sympy"
-version = "1.9"
+version = "1.12"
description = "Computer algebra system (CAS) in Python"
category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
[package.dependencies]
mpmath = ">=0.19"
[[package]]
-name = "tabulate"
-version = "0.8.9"
-description = "Pretty-print tabular data"
+name = "tenacity"
+version = "8.2.2"
+description = "Retry code until it succeeds"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.6"
[package.extras]
-widechars = ["wcwidth"]
+doc = ["reno", "sphinx", "tornado (>=4.5)"]
[[package]]
-name = "tensorboardx"
-version = "2.4"
-description = "TensorBoardX lets you watch Tensors Flow without Tensorflow"
-category = "main"
+name = "termcolor"
+version = "2.3.0"
+description = "ANSI color formatting for output in terminal"
+category = "dev"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
-[package.dependencies]
-numpy = "*"
-protobuf = ">=3.8.0"
+[package.extras]
+tests = ["pytest", "pytest-cov"]
[[package]]
name = "threadpoolctl"
-version = "3.0.0"
+version = "3.1.0"
description = "threadpoolctl"
category = "main"
optional = false
python-versions = ">=3.6"
-[[package]]
-name = "toml"
-version = "0.10.2"
-description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-
[[package]]
name = "tomli"
-version = "1.2.1"
+version = "2.0.1"
description = "A lil' TOML parser"
-category = "dev"
+category = "main"
optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
[[package]]
name = "tomlkit"
-version = "0.7.0"
+version = "0.11.8"
description = "Style preserving TOML library"
category = "dev"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.7"
[[package]]
name = "torch"
-version = "1.9.1"
+version = "2.0.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
category = "main"
optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.8.0"
[package.dependencies]
+filelock = "*"
+jinja2 = "*"
+networkx = "*"
+sympy = "*"
typing-extensions = "*"
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
[[package]]
name = "torchvision"
-version = "0.10.1"
+version = "0.15.2"
description = "image and video datasets and models for torch deep learning"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.8"
[package.dependencies]
numpy = "*"
-pillow = ">=5.3.0"
-torch = "1.9.1"
+pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
+requests = "*"
+torch = "2.0.1"
[package.extras]
scipy = ["scipy"]
-[[package]]
-name = "tornado"
-version = "6.1"
-description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-category = "dev"
-optional = false
-python-versions = ">= 3.5"
-
[[package]]
name = "tqdm"
-version = "4.62.3"
+version = "4.65.0"
description = "Fast, Extensible Progress Meter"
category = "main"
optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+python-versions = ">=3.7"
[package.dependencies]
colorama = {version = "*", markers = "platform_system == \"Windows\""}
@@ -1481,22 +1788,24 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[package.extras]
dev = ["py-make (>=0.1.0)", "twine", "wheel"]
notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
telegram = ["requests"]
[[package]]
name = "traitlets"
-version = "5.1.0"
+version = "5.9.0"
description = "Traitlets Python configuration system"
category = "main"
optional = false
python-versions = ">=3.7"
[package.extras]
-test = ["pytest"]
+docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
+test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
[[package]]
name = "twine"
-version = "3.4.2"
+version = "3.8.0"
description = "Collection of utilities for publishing packages on PyPI"
category = "dev"
optional = false
@@ -1506,65 +1815,86 @@ python-versions = ">=3.6"
colorama = ">=0.4.3"
importlib-metadata = ">=3.6"
keyring = ">=15.1"
-pkginfo = ">=1.4.2"
+pkginfo = ">=1.8.1"
readme-renderer = ">=21.0"
requests = ">=2.20"
requests-toolbelt = ">=0.8.0,<0.9.0 || >0.9.0"
rfc3986 = ">=1.4.0"
tqdm = ">=4.14"
+urllib3 = ">=1.26.0"
[[package]]
-name = "typed-ast"
-version = "1.4.3"
-description = "a fork of Python 2 and 3 ast modules with type comment support"
-category = "dev"
+name = "typing-extensions"
+version = "4.7.1"
+description = "Backported and Experimental Type Hints for Python 3.7+"
+category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=3.7"
[[package]]
-name = "typing-extensions"
-version = "3.10.0.2"
-description = "Backported and Experimental Type Hints for Python 3.5+"
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
category = "main"
optional = false
-python-versions = "*"
+python-versions = ">=2"
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+ {file = "watchdog-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7ade88d0d778b1b222adebcc0927428f883db07017618a5e684fd03b83342bd9"},
+ {file = "watchdog-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7e447d172af52ad204d19982739aa2346245cc5ba6f579d16dac4bfec226d2e7"},
+ {file = "watchdog-3.0.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:9fac43a7466eb73e64a9940ac9ed6369baa39b3bf221ae23493a9ec4d0022674"},
+ {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f"},
+ {file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc"},
+ {file = "watchdog-3.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4f94069eb16657d2c6faada4624c39464f65c05606af50bb7902e036e3219be3"},
+ {file = "watchdog-3.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7c5f84b5194c24dd573fa6472685b2a27cc5a17fe5f7b6fd40345378ca6812e3"},
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+ {file = "watchdog-3.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:233b5817932685d39a7896b1090353fc8efc1ef99c9c054e46c8002561252fb8"},
+ {file = "watchdog-3.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:13bbbb462ee42ec3c5723e1205be8ced776f05b100e4737518c67c8325cf6100"},
+ {file = "watchdog-3.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346"},
+ {file = "watchdog-3.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64"},
+ {file = "watchdog-3.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a"},
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+ {file = "watchdog-3.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a"},
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+ {file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83"},
+ {file = "watchdog-3.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d"},
+ {file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"},
+ {file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"},
+ {file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"},
+ {file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"},
+ {file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
]
wcwidth = [
- {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
- {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
+ {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
+ {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
]
webencodings = [
{file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
{file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
]
+wheel = [
+ {file = "wheel-0.40.0-py3-none-any.whl", hash = "sha256:d236b20e7cb522daf2390fa84c55eea81c5c30190f90f29ae2ca1ad8355bf247"},
+ {file = "wheel-0.40.0.tar.gz", hash = "sha256:cd1196f3faee2b31968d626e1731c94f99cbdb67cf5a46e4f5656cbee7738873"},
+]
zipp = [
- {file = "zipp-3.6.0-py3-none-any.whl", hash = "sha256:9fe5ea21568a0a70e50f273397638d39b03353731e6cbbb3fd8502a33fec40bc"},
- {file = "zipp-3.6.0.tar.gz", hash = "sha256:71c644c5369f4a6e07636f0aa966270449561fcea2e3d6747b8d23efaa9d7832"},
+ {file = "zipp-3.15.0-py3-none-any.whl", hash = "sha256:48904fc76a60e542af151aded95726c1a5c34ed43ab4134b597665c86d7ad556"},
+ {file = "zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"},
]
diff --git a/pyproject.toml b/pyproject.toml
index ad11319..6ad282a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,57 +1,244 @@
-[tool.poetry]
-name = "roughml"
-version = "4.7.0"
-description = "A nanorough surface super-resolution framework"
-authors = ["billsioros "]
-license = "MIT"
-
-[tool.poetry.dependencies]
-python = "^3.7.1"
-torch = "^1.9.0"
-numpy = "^1.20.3"
-plotly = "^4.14.3"
-matplotlib = "3.1.1"
-sympy = "^1.8"
-sklearn = "^0.0"
-pandas = "^1.2.4"
-pyinsect = {git = "https://github.com/ggianna/PyINSECT.git", rev = "master"}
-torchvision = "^0.10.0"
-ipython = "^7.24.1"
-tqdm = "^4.61.1"
-ray = {extras = ["tune"], version = "^1.4.1"}
-kaleido = "0.2.1"
-emails = "^0.6"
-Jinja2 = "^3.0.1"
-click = "^8.0.1"
-rich = "^10.6.0"
-
-[tool.poetry.dev-dependencies]
-pre-commit = "^2.13.0"
-isort = "^5.8.0"
-black = "^21.6b0"
-python-semantic-release = "^7.16.1"
-jupytext = "^1.11.3"
-ipykernel = "^5.5.5"
-
-[tool.poetry.scripts]
-visualize = "roughml.cli.visualize:visualize"
-dataset = "roughml.cli.dataset:dataset"
-tune = "roughml.cli.tune:tune"
-benchmark = "roughml.cli.benchmark:benchmark"
-
[build-system]
-requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
+requires = [
+ "poetry-core>=1",
+]
+
+[tool.black]
+line-length = 99
+target-version = ["py37", "py38"]
+skip-string-normalization = true
[tool.isort]
profile = "black"
-src_paths = ["src", "Nanorough_surface_Super_resolution.py"]
+src_paths = ["src/roughgan", "tests"]
+line_length = 99
+known_first_party = "roughgan"
-[tool.vulture]
-min_confidence = 95
-paths = ["src", "Nanorough_surface_Super_resolution.py"]
+[tool.pytest.ini_options]
+addopts = "-vv --color=yes"
+log_cli = false
+log_cli_date_format = "%Y-%m-%d %H:%M:%S"
+log_cli_format = "%(asctime)s %(levelname)s %(message)s"
+log_cli_level = "INFO"
+python_files = "test_*.py"
+python_functions = "test_*"
+testpaths = "tests"
+
+[tool.coverage.paths]
+source = ["src"]
+
+[tool.coverage.run]
+branch = true
+source = ["roughgan"]
+
+[tool.coverage.report]
+show_missing = true
+fail_under = 100
+exclude_lines = ["if self.debug:", "pragma: no cover", "raise NotImplementedError", "if __name__ == .__main__.:"]
+ignore_errors = true
+omit = ["tests/*"]
+
+[tool.mypy]
+files = ["src/roughgan"]
+warn_unused_configs = true
+warn_return_any = true
+ignore_missing_imports = true
+pretty = true
+color_output = true
+show_column_numbers = true
+show_error_codes = true
+show_error_context = true
+strict = true
+
+[tool.poetry]
+name = "RoughGAN"
+version = "4.7.0"
+description = "A nanorough surfaces oriented ML library"
+readme = "README.md"
+authors = ["Vasilis Sioros "]
+license = "MIT"
+homepage = "https://billsioros.github.io/RoughGAN"
+repository = "https://github.com/billsioros/RoughGAN"
+keywords = []
+classifiers = [
+ "Programming Language :: Python",
+ "Programming Language :: Python :: 3",
+ "Programming Language :: Python :: 3 :: Only",
+]
+
+[tool.poetry.urls]
+"Bug Tracker" = "https://github.com/billsioros/RoughGAN/issues"
+"Changelog" = "https://github.com/billsioros/RoughGAN/releases"
+
+[tool.poetry.dependencies]
+python = ">=3.9,<4.0"
+numpy = ">=1.25.0"
+plotly = ">=5.15.0"
+matplotlib = ">=3.7.2"
+sympy = ">=1.12"
+scikit-learn = ">=1.3.0"
+pandas = ">=2.0.3"
+ipython = ">=8.14.0"
+tqdm = ">=4.65.0"
+ray = ">=2.5.1"
+click = ">=8.1.3"
+rich = ">=13.4.2"
+torch = ">=2.0.0"
+torchvision = ">=0.15.0"
+
+[tool.poetry.group.dev.dependencies]
+python-semantic-release = "*"
+isort = "*"
+mypy = "*"
+black = "*"
+pre-commit = "*"
+poethepoet = "*"
+coverage = {extras = ["toml"], version = "*" }
+pytest = "*"
+pytest-cov = "*"
+pytest-sugar = "*"
+pytest-clarity = "*"
+mkdocs = "*"
+mkdocs-material = "*"
+mkdocs-minify-plugin = "*"
+mkdocs-redirects = "*"
+mkdocstrings = { extras = ["python"], version = "*" }
+# mkdocs-jupyter = "*"
+mdx-truly-sane-lists = "*"
+mike = "*"
+ruff = "*"
[tool.semantic_release]
version_toml = "pyproject.toml:tool.poetry.version"
changelog_components = "semantic_release.changelog.changelog_headers,semantic_release.changelog.compare_url"
build_command = "python -m pip install poetry && poetry build"
+upload_to_pypi = false
+
+[tool.vulture]
+min_confidence = 95
+paths = ["src/roughgan", "tests"]
+
+[tool.poe.tasks]
+
+ [tool.poe.tasks.clean]
+ help = "Clean up any auxiliary files"
+ cmd = "rm -rf ./**/__pycache__ dist site .mypy_cache"
+
+ [tool.poe.tasks.format]
+ help = "Format your codebase"
+ shell = "poetry run isort .; poetry run black ."
+
+ [tool.poe.tasks.hooks]
+ help = "Run all pre-commit hooks"
+ cmd = "poetry run pre-commit run --all-files --color always"
+
+ [tool.poe.tasks.type]
+ help = "Run static type checking on your codebase"
+ cmd = "poetry run mypy"
+
+ [tool.poe.tasks.lint]
+ help = "Lint your code for errors"
+ cmd = "poetry run flake8 ."
+
+ [tool.poe.tasks.security]
+ help = "Run security checks on your application"
+ cmd = "poetry run bandit -r ."
+
+ [tool.poe.tasks.docs]
+ help = "Build and serve the documentation"
+
+ [[tool.poe.tasks.docs.sequence]]
+ ref = "_open --url http://127.0.0.1:8000/Alpaca-with-a-Mixture-of-Teachers/"
+
+ [[tool.poe.tasks.docs.sequence]]
+ cmd = "poetry run mkdocs serve --livereload --watch-theme"
+
+ [tool.poe.tasks.export]
+ help = "Export dependencies to requirements.txt format"
+ cmd = "poetry export --without-hashes --dev -o requirements.txt"
+
+ [tool.poe.tasks.docker-build-api]
+ help = "Build the API docker image"
+ shell = "docker build . -t roughgan:$( git tag -l | tail -1 | cut -c2- ) -t build:api -f ./docker/Dockerfile"
+
+ [tool.poe.tasks.docker-build-train]
+ help = "Build the model training docker image"
+ shell = "docker build . -t roughgan:$( git tag -l | tail -1 | cut -c2- ) -t build:train -f ./docker/Dockerfile.train"
+
+ [tool.poe.tasks.docker-run-train]
+ help = "Train the model using Docker"
+ shell = "docker run -v $(pwd)/data:/home/app/app/data -v $(pwd)/model:/home/app/app/model --gpus $(nvidia-smi --list-gpus | wc -l) roughgan:$( git tag -l | tail -1 | cut -c2- )"
+
+ [tool.poe.tasks.docker-run-api]
+ help = "Run the docker image as a container"
+ shell = "docker run -p 8080:8080 mlogo:$( git tag -l | tail -1 | cut -c2- )"
+
+ [tool.poe.tasks._open]
+ help = "Open a URL"
+ cmd = "python -c 'import webbrowser; webbrowser.open(\"${url}\")'"
+
+ [[tool.poe.tasks._open.args]]
+ name = "url"
+ options = ["-u", "--url"]
+ help = "The url to open"
+
+[tool.ruff]
+select = ["A", "B", "C", "D", "E", "F", "G", "I", "N", "Q", "S", "T", "W", "ANN", "ARG", "BLE", "COM", "DJ", "DTZ", "EM", "ERA", "EXE", "FBT", "ICN", "INP", "ISC", "NPY", "PD", "PGH", "PIE", "PL", "PT", "PTH", "PYI", "RET", "RSE", "RUF", "SIM", "SLF", "TCH", "TID", "TRY", "UP", "YTT"]
+ignore = []
+
+fixable = ["A", "B", "C", "D", "E", "F", "G", "I", "N", "Q", "S", "T", "W", "ANN", "ARG", "BLE", "COM", "DJ", "DTZ", "EM", "ERA", "EXE", "FBT", "ICN", "INP", "ISC", "NPY", "PD", "PGH", "PIE", "PL", "PT", "PTH", "PYI", "RET", "RSE", "RUF", "SIM", "SLF", "TCH", "TID", "TRY", "UP", "YTT"]
+unfixable = []
+
+exclude = [
+ ".bzr",
+ ".direnv",
+ ".eggs",
+ ".git",
+ ".git-rewrite",
+ ".hg",
+ ".mypy_cache",
+ ".nox",
+ ".pants.d",
+ ".pytype",
+ ".ruff_cache",
+ ".svn",
+ ".tox",
+ ".venv",
+ "__pypackages__",
+ "_build",
+ "buck-out",
+ "build",
+ "dist",
+ "node_modules",
+ "venv",
+]
+per-file-ignores = {}
+
+line-length = 99
+
+dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
+
+target-version = "py310"
+
+[tool.ruff.mccabe]
+max-complexity = 10
+
+[tool.ruff.pydocstyle]
+convention = "google"
+
+[tool.ruff.flake8-quotes]
+docstring-quotes = "double"
+
+[tool.docformatter]
+black = true
+non-strict = true
+non-cap = [
+ "roughgan",
+]
+recursive = true
+in-place = true
+
+[tool.bandit]
+recursive = true
+exclude_dirs = ["tests"]
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index acf61d0..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,72 +0,0 @@
-appnope==0.1.2; sys_platform == "darwin" and python_version >= "3.7"
-attrs==21.2.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
-backcall==0.2.0; python_version >= "3.7"
-cachetools==4.2.4; python_version >= "3.5" and python_version < "4.0"
-certifi==2021.10.8; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
-chardet==4.0.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
-charset-normalizer==2.0.6; python_full_version >= "3.6.0" and python_version >= "3"
-click==8.0.3; python_version >= "3.6"
-colorama==0.4.4; sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.6.2" and platform_system == "Windows" and python_full_version < "4.0.0" and (python_version >= "3.6" and python_full_version < "3.0.0" and platform_system == "Windows" or platform_system == "Windows" and python_version >= "3.6" and python_full_version >= "3.5.0")
-commonmark==0.9.1; python_full_version >= "3.6.2" and python_full_version < "4.0.0"
-cssselect==1.1.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
-cssutils==2.3.0; python_version >= "3.6"
-cycler==0.10.0; python_version >= "3.6"
-decorator==5.1.0; python_version >= "3.7"
-emails==0.6
-filelock==3.3.0; python_version >= "3.6"
-grpcio==1.41.0
-idna==3.2; python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.5"
-importlib-metadata==4.8.1; python_version < "3.8" and python_version >= "3.6"
-ipython==7.28.0; python_version >= "3.7"
-jedi==0.18.0; python_version >= "3.7"
-jinja2==3.0.2; python_version >= "3.6"
-joblib==1.1.0; python_version >= "3.7"
-kaleido==0.2.1
-kiwisolver==1.3.2; python_version >= "3.7"
-lxml==4.6.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
-markupsafe==2.0.1; python_version >= "3.6"
-matplotlib-inline==0.1.3; python_version >= "3.7"
-matplotlib==3.1.1; python_version >= "3.6"
-mpmath==1.2.1; python_version >= "3.6"
-msgpack==1.0.2
-networkx==2.6.3; python_version >= "3.7"
-numpy==1.21.1; python_version >= "3.7"
-pandas==1.3.3; python_full_version >= "3.7.1"
-parso==0.8.2; python_version >= "3.7"
-pexpect==4.8.0; sys_platform != "win32" and python_version >= "3.7"
-pickleshare==0.7.5; python_version >= "3.7"
-pillow==8.3.2; python_version >= "3.6"
-plotly==4.14.3
-premailer==3.10.0
-prompt-toolkit==3.0.20; python_full_version >= "3.6.2" and python_version >= "3.7"
-protobuf==3.18.1; python_version >= "3.5"
-ptyprocess==0.7.0; sys_platform != "win32" and python_version >= "3.7"
-pydot==1.4.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
-pydotplus==2.0.2; python_version >= "3.6"
-pygments==2.10.0; python_full_version >= "3.6.2" and python_full_version < "4.0.0" and python_version >= "3.7"
-pyinsect @ git+https://github.com/ggianna/PyINSECT.git@master ; python_version >= "3.6"
-pyparsing==2.4.7; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
-python-dateutil==2.8.2; python_full_version >= "3.7.1" and python_version >= "3.6" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0")
-pytz==2021.3; python_full_version >= "3.7.1"
-pyyaml==5.4.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
-ray==1.7.0
-redis==3.5.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
-requests==2.26.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
-retrying==1.3.3
-rich==10.12.0; python_full_version >= "3.6.2" and python_full_version < "4.0.0"
-scikit-learn==1.0; python_version >= "3.7"
-scipy==1.6.1; python_version >= "3.7"
-six==1.16.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6"
-sklearn==0.0
-sympy==1.9; python_version >= "3.6"
-tabulate==0.8.9
-tensorboardx==2.4
-threadpoolctl==3.0.0; python_version >= "3.7"
-torch==1.9.1; python_full_version >= "3.6.2"
-torchvision==0.10.1
-tqdm==4.62.3; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.4.0")
-traitlets==5.1.0; python_version >= "3.7"
-typing-extensions==3.10.0.2; python_full_version >= "3.6.2" and python_full_version < "4.0.0" and python_version < "3.8" and python_version >= "3.6"
-urllib3==1.26.7; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version < "4"
-wcwidth==0.2.5; python_full_version >= "3.6.2" and python_version >= "3.7"
-zipp==3.6.0; python_version < "3.8" and python_version >= "3.6"
diff --git a/src/roughml/__init__.py b/src/roughgan/__init__.py
similarity index 100%
rename from src/roughml/__init__.py
rename to src/roughgan/__init__.py
diff --git a/src/roughml/cli/__init__.py b/src/roughgan/cli/__init__.py
similarity index 100%
rename from src/roughml/cli/__init__.py
rename to src/roughgan/cli/__init__.py
diff --git a/src/roughml/cli/benchmark.py b/src/roughgan/cli/benchmark.py
similarity index 92%
rename from src/roughml/cli/benchmark.py
rename to src/roughgan/cli/benchmark.py
index 24a24a7..61a4fac 100644
--- a/src/roughml/cli/benchmark.py
+++ b/src/roughgan/cli/benchmark.py
@@ -6,7 +6,7 @@
import pandas as pd
from rich.logging import RichHandler
-from roughml.content.loss import (
+from roughgan.content.loss import (
ArrayGraph2DContentLoss,
HPG2DContentLoss,
NGramGraphContentLoss,
@@ -64,25 +64,23 @@ def benchmark(similarity):
"e_evaluation_time",
"e_training_time_ratio",
"e_evaluation_time_ratio",
- ]
+ ],
)
for similarity_cls in similarity_clses:
similarity_name = similarity_to_names[similarity_cls]
for number_of_surfaces in [2 * i for i in range(1, 6)]:
previously_elapsed_training_time, previously_elapsed_evaluation_time = 1, 1
- for dim_size in [2 ** i for i in range(1, 6)]:
+ for dim_size in [2**i for i in range(1, 6)]:
logger.info(
"Training and evaluating {0} for {1:02d} surfaces of size {2:03d}x{2:03d}".format(
similarity_name,
number_of_surfaces,
dim_size,
- )
+ ),
)
- surfaces = (
- np.random.random((number_of_surfaces, dim_size, dim_size)) * 255
- )
+ surfaces = np.random.random((number_of_surfaces, dim_size, dim_size)) * 255
start_time = time.time()
@@ -96,7 +94,7 @@ def benchmark(similarity):
elapsed_training_time,
elapsed_training_time / previously_elapsed_training_time,
dim_size // 2,
- )
+ ),
)
start_time = time.time()
@@ -111,7 +109,7 @@ def benchmark(similarity):
elapsed_evaluation_time,
elapsed_evaluation_time / previously_elapsed_training_time,
dim_size // 2,
- )
+ ),
)
df = df.append(
@@ -135,7 +133,7 @@ def benchmark(similarity):
if similarity is not None:
df.to_csv(f"benchmark_{similarity_name}.csv", index=False)
else:
- df.to_csv(f"benchmark.csv", index=False)
+ df.to_csv("benchmark.csv", index=False)
if __name__ == "__main__":
diff --git a/src/roughml/cli/dataset.py b/src/roughgan/cli/dataset.py
similarity index 94%
rename from src/roughml/cli/dataset.py
rename to src/roughgan/cli/dataset.py
index 14ddffa..9d1e8a3 100644
--- a/src/roughml/cli/dataset.py
+++ b/src/roughgan/cli/dataset.py
@@ -5,11 +5,8 @@
import tqdm
from rich.logging import RichHandler
-from roughml.data.generators import (
- BesselNonGaussianSurfaceGenerator,
- NonGaussianSurfaceGenerator,
-)
-from roughml.data.sets import NanoroughSurfaceDataset
+from roughgan.data.generators import BesselNonGaussianSurfaceGenerator, NonGaussianSurfaceGenerator
+from roughgan.data.sets import NanoroughSurfaceDataset
logger = logging.getLogger(__name__)
@@ -166,7 +163,7 @@ def dataset(
correlation_lengths,
alpha,
):
- """Generate datasets consisting of nanorough surfaces"""
+ """Generate datasets consisting of nanorough surfaces."""
non_existent_fmt = (
"dataset_{0:04d}_{1:03d}_{2:02d}_{3:02d}_{4:02d}_{5:02d}_{6:02d}_{7:04.2f}.pt"
)
@@ -216,7 +213,7 @@ def dataset(
@dataset.command()
@click.pass_obj
def standard(config):
- """Generate a dataset consisting of non-gaussian surfaces"""
+ """Generate a dataset consisting of non-gaussian surfaces."""
generator = get_standard_generator(config)
generate(generator, config["surfaces"], config["dataset_path"])
@@ -235,7 +232,8 @@ def standard(config):
)
@click.pass_obj
def besel(config, betas):
- """Generate a dataset consisting of non-gaussian surfaces utilizing a bessel function"""
+ """Generate a dataset consisting of non-gaussian surfaces utilizing a bessel
+ function."""
generator = get_besel_generator(config, betas)
generate(generator, config["surfaces"], config["dataset_path"])
diff --git a/src/roughgan/cli/train.py b/src/roughgan/cli/train.py
new file mode 100644
index 0000000..8ed64ef
--- /dev/null
+++ b/src/roughgan/cli/train.py
@@ -0,0 +1,243 @@
+from pathlib import Path
+
+BASE_DIR = Path.cwd()
+GDRIVE_DIR = BASE_DIR / "drive"
+
+try:
+ from google.colab import drive
+
+ drive.mount(f"{GDRIVE_DIR}")
+except ImportError:
+ pass
+SECRETS_DIR = GDRIVE_DIR / "MyDrive" / "Secrets"
+
+THESIS_DIR = GDRIVE_DIR / "MyDrive" / "Thesis" if GDRIVE_DIR.is_dir() else BASE_DIR
+
+OUTPUT_DIR = THESIS_DIR / "Output"
+
+DATASET_DIR = THESIS_DIR / "Datasets" if THESIS_DIR.is_dir() else BASE_DIR / "Datasets"
+import os
+
+LOGGING_LEVEL = os.environ.get("LOGGING_LEVEL", "CRITICAL").upper()
+
+LOGGING_CONFIG = {
+ "version": 1,
+ "disable_existing_loggers": False,
+ "formatters": {"standard": {"format": "[%(asctime)s] %(levelname)s:%(name)s: %(message)s"}},
+ "handlers": {
+ "default": {
+ "level": LOGGING_LEVEL,
+ "formatter": "standard",
+ "class": "logging.StreamHandler",
+ },
+ "file": {
+ "level": LOGGING_LEVEL,
+ "formatter": "standard",
+ "class": "logging.FileHandler",
+ },
+ },
+ "loggers": {"": {"handlers": ["default", "file"], "level": LOGGING_LEVEL}},
+}
+
+WHEEL_VERSION = "3.0.1"
+WHEEL_FILE = f"roughgan-{WHEEL_VERSION}-py3-none-any.whl"
+WHEEL_PATH = THESIS_DIR / "Binaries" / WHEEL_FILE
+
+import os
+import random
+import subprocess
+import sys
+
+import numpy as np
+
+pip_freeze_output = subprocess.check_output([sys.executable, "-m", "pip", "freeze"]).decode()
+
+if "roughgan" not in pip_freeze_output:
+ if WHEEL_PATH.is_file():
+ subprocess.check_call([sys.executable, "-m", "pip", "install", WHEEL_PATH])
+ else:
+ raise FileNotFoundError(WHEEL_PATH)
+import torch
+
+SEED = 1234
+
+if SEED is not None:
+ np.random.seed(SEED)
+ random.seed(SEED)
+ torch.manual_seed(SEED)
+ torch.cuda.manual_seed(SEED)
+ torch.backends.cudnn.deterministic = True
+ os.environ["PYTHONHASHSEED"] = str(SEED)
+
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+
+from datetime import datetime
+
+training_callback = None
+
+
+def logging_callback(config, logging_dir):
+ level = config.handlers.file.level.lower()
+
+ config.handlers.file.filename = logging_dir / f"{level}.log"
+
+ return config
+
+from roughgan.models import PerceptronGenerator
+
+
+def get_generator():
+ return PerceptronGenerator.from_device(device)
+
+from roughgan.models import PerceptronDiscriminator
+
+
+def get_discriminator(generator):
+ return PerceptronDiscriminator.from_generator(generator)
+
+from torch.nn import BCELoss
+
+criterion = BCELoss().to(device)
+import functools
+
+from torch.optim import Adam
+
+from roughgan.content.loss import NGramGraphContentLoss
+from roughgan.data.loaders import load_multiple_datasets_from_pt
+from roughgan.data.transforms import To, View
+from roughgan.training.epoch import per_epoch
+from roughgan.training.flow import TrainingFlow
+
+training_flow = TrainingFlow(
+ output_dir=OUTPUT_DIR,
+ logging={"config": LOGGING_CONFIG, "callback": logging_callback},
+ training={
+ "manager": {
+ "benchmark": True,
+
+ "train_epoch": per_epoch,
+ "log_every_n": 10,
+ "criterion": {"instance": criterion},
+ "n_epochs": 10,
+ "train_ratio": 0.8,
+ "optimizer": {
+ "type": Adam,
+ "params": {"lr": 0.1, "weight_decay": 0},
+ },
+ "dataloader": {
+ "batch_size": 256,
+ "shuffle": True,
+ "num_workers": 0,
+ },
+ },
+ "callbacks": [
+ training_callback,
+ ],
+ },
+ content_loss={
+ "type": NGramGraphContentLoss,
+
+ },
+ data={
+ "loader": functools.partial(
+ load_multiple_datasets_from_pt,
+ DATASET_DIR,
+ transforms=[To(device), View(1, 128, 128)],
+ limit=(2, 10),
+ ),
+ },
+ animation={
+ "indices": [
+ 0,
+ ],
+ "save_path": "perceptron_per_epoch_animation.mp4",
+ },
+ plot={
+ "grayscale": {"limit": 10, "save_path_fmt": "grayscale/%s_%02d.png"},
+ "surface": {"limit": 10, "save_path_fmt": "surface/%s_%02d.png"},
+ "against": {"save_path_fmt": "against_%s.png"},
+ },
+ suppress_exceptions=False,
+)
+from roughgan.models import CNNGenerator
+
+
+def get_generator():
+ return CNNGenerator.from_device(device)
+
+from roughgan.models import CNNDiscriminator
+
+
+def get_discriminator(generator):
+ return CNNDiscriminator.from_generator(generator)
+
+from torch.nn import BCELoss
+
+criterion = BCELoss().to(device)
+import functools
+
+from torch.optim import Adam
+
+from roughgan.content.loss import ArrayGraph2DContentLoss
+from roughgan.data.transforms import To, View
+from roughgan.training.epoch import per_epoch
+
+training_flow = TrainingFlow(
+ output_dir=OUTPUT_DIR,
+ logging={"config": LOGGING_CONFIG, "callback": logging_callback},
+ training={
+ "manager": {
+ "benchmark": True,
+
+ "train_epoch": per_epoch,
+ "log_every_n": 10,
+ "criterion": {"instance": criterion},
+ "n_epochs": 10,
+ "train_ratio": 0.8,
+ "optimizer": {
+ "type": Adam,
+ "params": {"lr": 0.0002, "betas": (0.5, 0.999)},
+ },
+ "dataloader": {
+ "batch_size": 32,
+ "shuffle": True,
+ "num_workers": 0,
+ },
+ },
+ "callbacks": [
+ training_callback,
+ ],
+ },
+ content_loss={
+ "type": ArrayGraph2DContentLoss,
+
+ },
+ data={
+ "loader": functools.partial(
+ load_multiple_datasets_from_pt,
+ DATASET_DIR,
+ transforms=[To(device), View(1, 128, 128)],
+ limit=(2, 10),
+ ),
+ },
+ animation={
+ "indices": [
+ 0,
+ ],
+ "save_path": "cnn_per_epoch_animation.mp4",
+ },
+ plot={
+ "grayscale": {"limit": 10, "save_path_fmt": "grayscale/%s_%02d.png"},
+ "surface": {"limit": 10, "save_path_fmt": "surface/%s_%02d.png"},
+ "against": {"save_path_fmt": "against_%s.png"},
+ },
+ suppress_exceptions=False,
+)
+training_flow(get_generator, get_discriminator)
+
+try:
+ from google.colab import drive
+
+ drive.flush_and_unmount()
+except ImportError:
+ pass
diff --git a/src/roughml/cli/tune.py b/src/roughgan/cli/tune.py
similarity index 85%
rename from src/roughml/cli/tune.py
rename to src/roughgan/cli/tune.py
index a14f739..8e77fc8 100644
--- a/src/roughml/cli/tune.py
+++ b/src/roughgan/cli/tune.py
@@ -7,18 +7,18 @@
from torch.nn import BCELoss
from torch.optim import Adam
-from roughml.data.loaders import load_dataset_from_pt
-from roughml.data.transforms import To, View
-from roughml.models import (
+from roughgan.data.loaders import load_dataset_from_pt
+from roughgan.data.transforms import To, View
+from roughgan.models import (
CNNDiscriminator,
CNNGenerator,
PerceptronDiscriminator,
PerceptronGenerator,
)
-from roughml.training.epoch import per_epoch
-from roughml.training.manager import TrainingManager
-from roughml.tuning.flow import TuningFlow
-from roughml.tuning.trial import trial_factory
+from roughgan.training.epoch import per_epoch
+from roughgan.training.manager import TrainingManager
+from roughgan.tuning.flow import TuningFlow
+from roughgan.tuning.trial import trial_factory
def get_generator_discriminator_fns(model_name, device):
@@ -72,7 +72,7 @@ def get_discriminator(generator):
help="Run in debug mode",
)
def tune(dataset_path, model, debug):
- """Perform hyper parameter tuning on a generator/discriminator pair"""
+ """Perform hyper parameter tuning on a generator/discriminator pair."""
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
criterion = BCELoss().to(device)
@@ -98,9 +98,7 @@ def tune(dataset_path, model, debug):
tuning_flow(get_generator, get_discriminator, num_samples=1 if debug else 100)
- csv_path = (
- Path.cwd() / f"tune_{datetime.now().strftime('%Y_%m_%d_%H_%M_%S_%f')}.csv"
- )
+ csv_path = Path.cwd() / f"tune_{datetime.now().strftime('%Y_%m_%d_%H_%M_%S_%f')}.csv"
with csv_path.open("w") as file:
tuning_flow.dataframe.to_csv(file)
diff --git a/src/roughml/cli/visualize.py b/src/roughgan/cli/visualize.py
similarity index 89%
rename from src/roughml/cli/visualize.py
rename to src/roughgan/cli/visualize.py
index ad55257..5d76788 100644
--- a/src/roughml/cli/visualize.py
+++ b/src/roughgan/cli/visualize.py
@@ -5,9 +5,8 @@
import plotly.graph_objects as go
from rich.logging import RichHandler
-import roughml.metrics as metrics
-import roughml.plot as plot
-from roughml.data.sets import NanoroughSurfaceDataset
+from roughgan import metrics, plot
+from roughgan.data.sets import NanoroughSurfaceDataset
logger = logging.getLogger(__name__)
@@ -53,7 +52,7 @@
)
@click.pass_context
def visualize(ctx, dataset_path, save_path, logging_level):
- """Various methods of visualizing nanorough surfaces"""
+ """Various methods of visualizing nanorough surfaces."""
ctx.obj = {"dataset_path": dataset_path, "save_path": save_path}
logging.basicConfig(
@@ -67,7 +66,7 @@ def visualize(ctx, dataset_path, save_path, logging_level):
@visualize.command()
@click.pass_obj
def correlation(config):
- """Plot the correlation of all surfaces included in the provided dataset"""
+ """Plot the correlation of all surfaces included in the provided dataset."""
dataset_path, save_path = config["dataset_path"], config["save_path"]
try:
@@ -81,8 +80,7 @@ def correlation(config):
fig = go.Figure(
data=data,
- layout_title_text="The correlation per surface of dataset %s"
- % (dataset_path,),
+ layout_title_text=f"The correlation per surface of dataset {dataset_path}",
)
if save_path is None:
@@ -106,7 +104,7 @@ def correlation(config):
)
@click.pass_obj
def as_3d_surface(config, index):
- """Plot a surface of the provided dataset as a 3D surface"""
+ """Plot a surface of the provided dataset as a 3D surface."""
dataset_path, save_path = config["dataset_path"], config["save_path"]
try:
@@ -129,7 +127,7 @@ def as_3d_surface(config, index):
)
@click.pass_obj
def grayscale(config, index):
- """Plot a surface of the provided dataset as a grayscale image"""
+ """Plot a surface of the provided dataset as a grayscale image."""
dataset_path, save_path = config["dataset_path"], config["save_path"]
try:
diff --git a/src/roughml/content/__init__.py b/src/roughgan/content/__init__.py
similarity index 100%
rename from src/roughml/content/__init__.py
rename to src/roughgan/content/__init__.py
diff --git a/src/roughml/content/loss.py b/src/roughgan/content/loss.py
similarity index 81%
rename from src/roughml/content/loss.py
rename to src/roughgan/content/loss.py
index 565cfc2..23c25a9 100644
--- a/src/roughml/content/loss.py
+++ b/src/roughgan/content/loss.py
@@ -10,35 +10,31 @@
from functools import wraps
import numpy as np
-import scipy.fft as fft
import torch
from pyinsect.collector.NGramGraphCollector import (
ArrayGraph2DCollector,
HPG2DCollector,
NGramGraphCollector,
)
+from scipy import fft
-from roughml.content.quantization import KBinsDiscretizerQuantizer
-from roughml.shared.configuration import Configuration
+from roughgan.content.quantization import KBinsDiscretizerQuantizer
+from roughgan.shared.configuration import Configuration
logger = logging.getLogger(__name__)
def per_row(method=None, *, expected_ndim=2):
- """The following decorator, given a multidimensional matrix, applies
- the decorated function on every row of the provided matrix and returns
- a one dimensional matrix, consisting of the accumulated return values
- of all the calls **or** a singular value, in case the multidimensional
- matrix has less than expected dimensions.
- """
+ """The following decorator, given a multidimensional matrix, applies the decorated
+ function on every row of the provided matrix and returns a one dimensional matrix,
+ consisting of the accumulated return values of all the calls **or** a singular
+ value, in case the multidimensional matrix has less than expected dimensions."""
def wrapper(method):
@wraps(method)
def wrapper_wrapper(self, matrix, *args, **kwargs):
if len(matrix.shape) > expected_ndim:
- return torch.tensor(
- [method(self, row, *args, **kwargs) for row in matrix]
- )
+ return torch.tensor([method(self, row, *args, **kwargs) for row in matrix])
return method(self, matrix, *args, **kwargs)
@@ -48,7 +44,7 @@ def wrapper_wrapper(self, matrix, *args, **kwargs):
class ContentLoss(Configuration, ABC):
- def __init__(self, skip_quantization=False, **kwargs):
+ def __init__(self, skip_quantization=False, **kwargs) -> None:
super().__init__(**kwargs)
self.skip_quantization = skip_quantization
@@ -57,7 +53,7 @@ def __init__(self, skip_quantization=False, **kwargs):
self.quantizer = KBinsDiscretizerQuantizer(**kwargs)
self.surfaces = self.quantizer.surfaces
- def __len__(self):
+ def __len__(self) -> int:
return len(self.surfaces)
@abstractmethod
@@ -67,7 +63,7 @@ def __call__(self, surface):
return surface
- def __str__(self):
+ def __str__(self) -> str:
return str({"shape": self.surfaces.shape})
def to_pickle(self, path):
@@ -80,17 +76,16 @@ def from_pickle(cls, path):
instance = pickle.load(file)
if not isinstance(instance, cls):
- raise TypeError(
- "%r is not an instance of %s" % (instance, cls.__name__)
- )
+ msg = f"{instance!r} is not an instance of {cls.__name__}"
+ raise TypeError(msg)
return instance
class NGramGraphContentLoss(ContentLoss):
- """An `n-gram graph` based content loss"""
+ """An `n-gram graph` based content loss."""
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
self.surfaces = self.surfaces.reshape(self.surfaces.shape[0], -1)
@@ -106,9 +101,9 @@ def __call__(self, surface):
class ArrayGraph2DContentLoss(ContentLoss):
- """A `2D array graph` based content loss"""
+ """A `2D array graph` based content loss."""
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
self._collector = ArrayGraph2DCollector()
@@ -122,9 +117,9 @@ def __call__(self, surface):
class HPG2DContentLoss(ContentLoss):
- """A `Hierarchical Proximity Graph (HPG)` based content loss"""
+ """A `Hierarchical Proximity Graph (HPG)` based content loss."""
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
self._build_collector()
@@ -180,9 +175,7 @@ def _build_collector(self):
elapsed_time[index] = time.time() - start_time
- logger.debug(
- "Job %02d completed after %07.3fs", index, elapsed_time[index]
- )
+ logger.debug("Job %02d completed after %07.3fs", index, elapsed_time[index])
logger.debug(
"Constructed %02d graphs in %07.3fs [%.3f Âą %.3f seconds per graph]",
@@ -194,16 +187,15 @@ def _build_collector(self):
class VectorSpaceContentLoss(ContentLoss):
- """
- A content loss that represents surfaces as vectors.
+ """A content loss that represents surfaces as vectors.
- The content loss calculates the historgram and the fourier transform
- corresponding to each provided surface, in order to construct a vector
- corresponding to that surface. It then utilizes conventional vector
- distance metrics to calculate the loss value.
+ The content loss calculates the historgram and the fourier transform corresponding
+ to each provided surface, in order to construct a vector corresponding to that
+ surface. It then utilizes conventional vector distance metrics to calculate the loss
+ value.
"""
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(skip_quantization=True, **kwargs)
with contextlib.suppress(AttributeError):
@@ -219,13 +211,12 @@ def __init__(self, **kwargs):
@per_row
def __call__(self, surface):
- (histogram, _), fourier = np.histogram(surface.reshape(-1)), np.absolute(
- fft.fft2(surface)
- )
+ (histogram, _), fourier = np.histogram(surface.reshape(-1)), np.absolute(fft.fft2(surface))
loss = 0
for _histogram, _fourier in itertools.islice(
- zip(self.histograms, self.fouriers), self.n_neighbors
+ zip(self.histograms, self.fouriers),
+ self.n_neighbors,
):
loss += np.sqrt(np.square(np.subtract(histogram, _histogram)).mean()) / (
self.n_neighbors * 2
diff --git a/src/roughml/content/quantization.py b/src/roughgan/content/quantization.py
similarity index 69%
rename from src/roughml/content/quantization.py
rename to src/roughgan/content/quantization.py
index 8361a34..e69fdbf 100644
--- a/src/roughml/content/quantization.py
+++ b/src/roughgan/content/quantization.py
@@ -2,15 +2,15 @@
from sklearn.preprocessing import KBinsDiscretizer
-from roughml.shared.configuration import Configuration
+from roughgan.shared.configuration import Configuration
class Quantizer(Configuration, ABC):
- """The `Quantizer` sub-classes are responsible for quantizing our
- input data consisting of floating point values. These floating point
- values are going to serve as symbols for the `n-gram graph
- representation` and having an infinite amount of symbols will do us
- no good.
+ """The `Quantizer` sub-classes are responsible for quantizing our input data
+ consisting of floating point values.
+
+ These floating point values are going to serve as symbols for the `n-gram graph
+ representation` and having an infinite amount of symbols will do us no good.
"""
@abstractstaticmethod
@@ -19,7 +19,7 @@ def __call__(self, tensor):
class KBinsDiscretizerQuantizer(Configuration):
- def __init__(self, surfaces=None, **kwargs):
+ def __init__(self, surfaces=None, **kwargs) -> None:
if "encode" not in kwargs:
kwargs["encode"] = "ordinal"
@@ -27,17 +27,13 @@ def __init__(self, surfaces=None, **kwargs):
self.original_shape = surfaces.shape[1:]
- self.surfaces = self.underlying.fit_transform(
- surfaces.reshape(surfaces.shape[0], -1)
- )
+ self.surfaces = self.underlying.fit_transform(surfaces.reshape(surfaces.shape[0], -1))
self.surfaces = self.surfaces.reshape(*surfaces.shape)
def __call__(self, tensor):
- return self.underlying.transform(tensor.reshape(1, -1)).reshape(
- *self.original_shape
- )
+ return self.underlying.transform(tensor.reshape(1, -1)).reshape(*self.original_shape)
- def __str__(self):
+ def __str__(self) -> str:
return str({"underlying": self.underlying, "shape": self.surfaces.shape})
diff --git a/src/roughml/data/__init__.py b/src/roughgan/data/__init__.py
similarity index 100%
rename from src/roughml/data/__init__.py
rename to src/roughgan/data/__init__.py
diff --git a/src/roughml/data/generators.py b/src/roughgan/data/generators.py
similarity index 78%
rename from src/roughml/data/generators.py
rename to src/roughgan/data/generators.py
index 08f45fe..17ec5b9 100644
--- a/src/roughml/data/generators.py
+++ b/src/roughgan/data/generators.py
@@ -4,13 +4,11 @@
import sympy
from scipy import stats
-from roughml.plot import as_grayscale_image
+from roughgan.plot import as_grayscale_image
class SurfaceGenerator(ABC):
- def __init__(
- self, n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha
- ):
+ def __init__(self, n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha) -> None:
self.n_points = n_points
self.rms = rms
self.skewness = skewness
@@ -22,10 +20,10 @@ def __init__(
self._mean = 0
self._length = 0
- def __str__(self):
+ def __str__(self) -> str:
return f"{self.__class__.__name__}({self.n_points}, {self.rms}, {self.skewness}, {self.kurtosis}, {self.corlength_x}, {self.corlength_y}, {self.alpha})"
- def __repr__(self):
+ def __repr__(self) -> str:
return f"<{self}>"
def __call__(self, length):
@@ -33,7 +31,7 @@ def __call__(self, length):
return self
- def __len__(self):
+ def __len__(self) -> int:
return self._length
def __iter__(self):
@@ -70,7 +68,7 @@ def generate_surface(self):
# According to the Wiener-Khinchine theorem FR is the power spectrum of the desired profile
FR = np.fft.fft2(R, s=(self.n_points, self.n_points))
- AMPR = np.sqrt(dtx ** 2 + dty ** 2) * abs(FR)
+ AMPR = np.sqrt(dtx**2 + dty**2) * abs(FR)
# 2nd step: Generate a white noise, normalize it and take its Fourier transform
X = np.random.rand(self.n_points, self.n_points)
@@ -109,7 +107,6 @@ def generate_surface(self):
size=(self.n_points, self.n_points),
)
- # as_grayscale_image(z_ngn)
# 3rd step: Combination of z_gs with z_ngn to output a z_ms
v_gs = z_gs.flatten(order="F")
v_ngn = z_ngn.flatten(order="F")
@@ -136,23 +133,15 @@ def __init__(
corlength_x=4,
corlength_y=4,
alpha=1,
- ):
- super().__init__(
- n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha
- )
+ ) -> None:
+ super().__init__(n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha)
def autocorrelation(self, tx, ty):
- return (self.rms ** 2) * np.exp(
+ return (self.rms**2) * np.exp(
-(
- (
- abs(
- np.sqrt(
- (tx / self.corlength_x) ** 2 + (ty / self.corlength_y) ** 2
- )
- )
- )
+ (abs(np.sqrt((tx / self.corlength_x) ** 2 + (ty / self.corlength_y) ** 2)))
** (2 * self.alpha)
- )
+ ),
)
@@ -168,16 +157,15 @@ def __init__(
alpha=1,
beta_x=1,
beta_y=1,
- ):
- super().__init__(
- n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha
- )
+ ) -> None:
+ super().__init__(n_points, rms, skewness, kurtosis, corlength_x, corlength_y, alpha)
self.beta_x, self.beta_y = beta_x, beta_y
def autocorrelation(self, tx, ty):
return super().autocorrelation(tx, ty) * sympy.besselj(
- 0, (2 * np.pi * np.sqrt((tx / self.beta_x) ** 2 + (ty / self.beta_y) ** 2))
+ 0,
+ (2 * np.pi * np.sqrt((tx / self.beta_x) ** 2 + (ty / self.beta_y) ** 2)),
)
@@ -186,14 +174,8 @@ def autocorrelation(self, tx, ty):
for surface in generate(1):
as_grayscale_image(surface)
- # as_3d_surface(surface)
- # plot_correlation(surface)
- besel_generate = BesselNonGaussianSurfaceGenerator(
- 128, 1, 0, 3, 16, 16, 0.5, 4000, 4000
- )
+ besel_generate = BesselNonGaussianSurfaceGenerator(128, 1, 0, 3, 16, 16, 0.5, 4000, 4000)
for surface in besel_generate(1):
as_grayscale_image(surface)
- # as_3d_surface(surface)
- # plot_correlation(surface)
diff --git a/src/roughml/data/loaders.py b/src/roughgan/data/loaders.py
similarity index 82%
rename from src/roughml/data/loaders.py
rename to src/roughgan/data/loaders.py
index e7c9ace..b2c789c 100644
--- a/src/roughml/data/loaders.py
+++ b/src/roughgan/data/loaders.py
@@ -4,8 +4,8 @@
import scipy.io as sio
-from roughml.data.generators import NonGaussianSurfaceGenerator
-from roughml.data.sets import NanoroughSurfaceDataset
+from roughgan.data.generators import NonGaussianSurfaceGenerator
+from roughgan.data.sets import NanoroughSurfaceDataset
logger = logging.getLogger(__name__)
@@ -37,9 +37,7 @@ def load_dataset_from_zip(dataset_path, transforms=[], limit=None, cache_dir=Non
surfaces.append(numpy_array)
- yield dataset_path, NanoroughSurfaceDataset.from_list(
- surfaces, transforms=transforms
- )
+ yield dataset_path, NanoroughSurfaceDataset.from_list(surfaces, transforms=transforms)
def load_dataset_from_pt(dataset_path, transforms=[], limit=None):
@@ -63,6 +61,4 @@ def load_multiple_datasets_from_pt(datasets_dir, transforms=[], limit=None):
if file.is_dir() or file.suffix != ".pt":
continue
- yield next(
- load_dataset_from_pt(file, transforms=transforms, limit=surfaces_limit)
- )
+ yield next(load_dataset_from_pt(file, transforms=transforms, limit=surfaces_limit))
diff --git a/src/roughml/data/sets.py b/src/roughgan/data/sets.py
similarity index 93%
rename from src/roughml/data/sets.py
rename to src/roughgan/data/sets.py
index 64a3146..76501dd 100644
--- a/src/roughml/data/sets.py
+++ b/src/roughgan/data/sets.py
@@ -4,9 +4,9 @@
class NanoroughSurfaceDataset(Dataset):
- """A dataset of pre-generated nanorough surfaces"""
+ """A dataset of pre-generated nanorough surfaces."""
- def __init__(self, surfaces, subsampling_factor, transforms):
+ def __init__(self, surfaces, subsampling_factor, transforms) -> None:
self.surfaces = surfaces
self.subsampling_factor = subsampling_factor
@@ -18,7 +18,7 @@ def __init__(self, surfaces, subsampling_factor, transforms):
if hasattr(transform, "callback"):
transform.callback(self)
- def __len__(self):
+ def __len__(self) -> int:
return len(self.surfaces)
def __getitem__(self, idx):
diff --git a/src/roughml/data/transforms.py b/src/roughgan/data/transforms.py
similarity index 87%
rename from src/roughml/data/transforms.py
rename to src/roughgan/data/transforms.py
index e49f0b7..59f4909 100644
--- a/src/roughml/data/transforms.py
+++ b/src/roughgan/data/transforms.py
@@ -4,7 +4,7 @@
class Transform(ABC):
- def __init__(self, *args, **kwargs):
+ def __init__(self, *args, **kwargs) -> None:
pass
@abstractmethod
@@ -18,7 +18,7 @@ def __call__(self, tensor):
class To(Transform):
- def __init__(self, device):
+ def __init__(self, device) -> None:
self.device = device
def __call__(self, tensor):
@@ -38,7 +38,7 @@ def __call__(self, tensor):
class View(Transform):
- def __init__(self, *args):
+ def __init__(self, *args) -> None:
self.args = args
def __call__(self, tensor):
diff --git a/src/roughml/metrics.py b/src/roughgan/metrics.py
similarity index 100%
rename from src/roughml/metrics.py
rename to src/roughgan/metrics.py
diff --git a/src/roughgan/models/__init__.py b/src/roughgan/models/__init__.py
new file mode 100644
index 0000000..6acfa6a
--- /dev/null
+++ b/src/roughgan/models/__init__.py
@@ -0,0 +1,9 @@
+from roughgan.models.cnn import CNNDiscriminator, CNNGenerator
+from roughgan.models.perceptron import PerceptronDiscriminator, PerceptronGenerator
+
+__all__ = [
+ "CNNDiscriminator",
+ "CNNGenerator",
+ "PerceptronDiscriminator",
+ "PerceptronGenerator",
+]
diff --git a/src/roughml/models/base.py b/src/roughgan/models/base.py
similarity index 91%
rename from src/roughml/models/base.py
rename to src/roughgan/models/base.py
index f2dbb77..0673f5f 100644
--- a/src/roughml/models/base.py
+++ b/src/roughgan/models/base.py
@@ -8,9 +8,7 @@
class Base(nn.Module):
@classmethod
- def from_device(
- cls, device, *args, dtype=torch.float64, gradient_clipping=None, **kwargs
- ):
+ def from_device(cls, device, *args, dtype=torch.float64, gradient_clipping=None, **kwargs):
model = cls(*args, **kwargs)
if device.type == "cuda" and torch.cuda.device_count() > 1:
diff --git a/src/roughml/models/cnn.py b/src/roughgan/models/cnn.py
similarity index 74%
rename from src/roughml/models/cnn.py
rename to src/roughgan/models/cnn.py
index 51d8e58..76cef87 100644
--- a/src/roughml/models/cnn.py
+++ b/src/roughgan/models/cnn.py
@@ -5,7 +5,7 @@
logger = logging.getLogger(__name__)
-from roughml.models.base import Base
+from roughgan.models.base import Base
class CNNBase(Base):
@@ -19,11 +19,13 @@ def initialize_weights(cls, model):
nn.init.constant_(model.bias.data, 0)
@classmethod
- def from_device(
- cls, device, *args, dtype=torch.float64, gradient_clipping=None, **kwargs
- ):
+ def from_device(cls, device, *args, dtype=torch.float64, gradient_clipping=None, **kwargs):
model = super().from_device(
- device, *args, dtype=dtype, gradient_clipping=gradient_clipping, **kwargs
+ device,
+ *args,
+ dtype=dtype,
+ gradient_clipping=gradient_clipping,
+ **kwargs,
)
model.apply(cls.initialize_weights)
@@ -37,7 +39,7 @@ def __init__(
in_channels=100,
out_channels=128,
training_channels=1,
- ):
+ ) -> None:
super().__init__()
self.in_channels = in_channels
@@ -49,47 +51,34 @@ def __init__(
self.module_list = nn.ModuleList(
[
nn.Sequential(
- nn.ConvTranspose2d(
- in_channels, out_channels * 16, 4, 1, 0, bias=False
- ),
+ nn.ConvTranspose2d(in_channels, out_channels * 16, 4, 1, 0, bias=False),
nn.BatchNorm2d(out_channels * 16),
nn.ReLU(True),
),
nn.Sequential(
- nn.ConvTranspose2d(
- out_channels * 16, out_channels * 8, 4, 2, 1, bias=False
- ),
+ nn.ConvTranspose2d(out_channels * 16, out_channels * 8, 4, 2, 1, bias=False),
nn.BatchNorm2d(out_channels * 8),
nn.ReLU(True),
),
nn.Sequential(
- nn.ConvTranspose2d(
- out_channels * 8, out_channels * 4, 4, 2, 1, bias=False
- ),
+ nn.ConvTranspose2d(out_channels * 8, out_channels * 4, 4, 2, 1, bias=False),
nn.BatchNorm2d(out_channels * 4),
nn.ReLU(True),
),
nn.Sequential(
- nn.ConvTranspose2d(
- out_channels * 4, out_channels * 2, 4, 2, 1, bias=False
- ),
+ nn.ConvTranspose2d(out_channels * 4, out_channels * 2, 4, 2, 1, bias=False),
nn.BatchNorm2d(out_channels * 2),
nn.ReLU(True),
),
nn.Sequential(
- nn.ConvTranspose2d(
- out_channels * 2, out_channels, 4, 2, 1, bias=False
- ),
+ nn.ConvTranspose2d(out_channels * 2, out_channels, 4, 2, 1, bias=False),
nn.BatchNorm2d(out_channels),
nn.ReLU(True),
),
nn.Sequential(
- nn.ConvTranspose2d(
- out_channels, training_channels, 4, 2, 1, bias=False
- ),
- # nn.ReLU(),
+ nn.ConvTranspose2d(out_channels, training_channels, 4, 2, 1, bias=False),
),
- ]
+ ],
)
def forward(self, batch):
@@ -110,7 +99,7 @@ def forward(self, batch):
class CNNDiscriminator(Base):
- def __init__(self, out_channels=1, in_channels=128):
+ def __init__(self, out_channels=1, in_channels=128) -> None:
super().__init__()
self.out_channels = out_channels
@@ -137,10 +126,8 @@ def __init__(self, out_channels=1, in_channels=128):
nn.BatchNorm2d(in_channels * 8),
nn.LeakyReLU(0.2, inplace=True),
),
- nn.Sequential(
- nn.Conv2d(in_channels * 8, 1, 8, 1, 0, bias=False), nn.Sigmoid()
- ),
- ]
+ nn.Sequential(nn.Conv2d(in_channels * 8, 1, 8, 1, 0, bias=False), nn.Sigmoid()),
+ ],
)
def forward(self, batch):
diff --git a/src/roughml/models/perceptron.py b/src/roughgan/models/perceptron.py
similarity index 94%
rename from src/roughml/models/perceptron.py
rename to src/roughgan/models/perceptron.py
index 2674069..249fe9b 100644
--- a/src/roughml/models/perceptron.py
+++ b/src/roughgan/models/perceptron.py
@@ -3,13 +3,13 @@
import torch
from torch import nn
-from roughml.models.base import Base
+from roughgan.models.base import Base
logger = logging.getLogger(__name__)
class PerceptronGenerator(Base):
- def __init__(self, in_features, out_features):
+ def __init__(self, in_features, out_features) -> None:
super().__init__()
self.in_features, self.out_features = in_features, out_features
@@ -69,7 +69,7 @@ def from_dataset(
class PerceptronDiscriminator(Base):
- def __init__(self, in_features):
+ def __init__(self, in_features) -> None:
super().__init__()
self.linear = nn.Linear(in_features, 1)
diff --git a/src/roughml/plot.py b/src/roughgan/plot.py
similarity index 94%
rename from src/roughml/plot.py
rename to src/roughgan/plot.py
index f662ace..f3d5938 100644
--- a/src/roughml/plot.py
+++ b/src/roughgan/plot.py
@@ -1,17 +1,15 @@
import os
import IPython.display as ipyd
-import matplotlib.animation as animation
import matplotlib.pyplot as plt
import numpy as np
import plotly.express as px
import plotly.graph_objects as go
import torchvision.utils as vutils
+from matplotlib import animation
-def plot_against(
- first, second, title="", xlabel="", ylabel="", labels=("", ""), save_path=None
-):
+def plot_against(first, second, title="", xlabel="", ylabel="", labels=("", ""), save_path=None):
x = list(range(max(len(first), len(second))))
plt.plot(x, first, label=labels[0])
@@ -86,7 +84,7 @@ def animate_epochs(batches_of_tensors, indices=None, save_path=None, **kwargs):
transform=axes.transAxes,
fontsize=16,
),
- ]
+ ],
)
if os.name != "nt":
diff --git a/src/roughml/shared/__init__.py b/src/roughgan/shared/__init__.py
similarity index 100%
rename from src/roughml/shared/__init__.py
rename to src/roughgan/shared/__init__.py
diff --git a/src/roughml/shared/configuration.py b/src/roughgan/shared/configuration.py
similarity index 70%
rename from src/roughml/shared/configuration.py
rename to src/roughgan/shared/configuration.py
index 73669b3..9e85191 100644
--- a/src/roughml/shared/configuration.py
+++ b/src/roughgan/shared/configuration.py
@@ -1,5 +1,5 @@
-class Configuration(object):
- def __init__(self, **kwargs):
+class Configuration:
+ def __init__(self, **kwargs) -> None:
for key, value in kwargs.items():
if isinstance(value, dict):
value = Configuration(**value)
@@ -16,8 +16,8 @@ def to_dict(self):
return rv
- def __str__(self):
+ def __str__(self) -> str:
return str(self.to_dict())
- def __repr__(self):
- return f"<{self.__class__.__name__} '{str(self)}'>"
+ def __repr__(self) -> str:
+ return f"<{self.__class__.__name__} '{self!s}'>"
diff --git a/src/roughml/shared/context_managers.py b/src/roughgan/shared/context_managers.py
similarity index 80%
rename from src/roughml/shared/context_managers.py
rename to src/roughgan/shared/context_managers.py
index 096435b..5f0483b 100644
--- a/src/roughml/shared/context_managers.py
+++ b/src/roughgan/shared/context_managers.py
@@ -1,5 +1,5 @@
-class ExceptionLoggingHandler(object):
- def __init__(self, logger, suppress_exceptions=True):
+class ExceptionLoggingHandler:
+ def __init__(self, logger, suppress_exceptions=True) -> None:
self.logger = logger
self.suppress_exceptions = suppress_exceptions
@@ -14,6 +14,7 @@ def __exit__(self, exc_type, exc_value, _):
self.logger.exception(exc_value)
return self.suppress_exceptions
+ return None
@property
def success(self):
diff --git a/src/roughml/shared/decorators.py b/src/roughgan/shared/decorators.py
similarity index 78%
rename from src/roughml/shared/decorators.py
rename to src/roughgan/shared/decorators.py
index 5c342a6..762a90a 100644
--- a/src/roughml/shared/decorators.py
+++ b/src/roughgan/shared/decorators.py
@@ -7,10 +7,9 @@
def benchmark(method):
- """The following decorator aims at calculating the decorated function's
- execution time and is used to benchmark our various approaches and assist
- us in coming up with a comprehensive comparison of their efficiency.
- """
+ """The following decorator aims at calculating the decorated function's execution
+ time and is used to benchmark our various approaches and assist us in coming up with
+ a comprehensive comparison of their efficiency."""
@wraps(method)
def wrapper(*args, **kwargs):
@@ -54,17 +53,15 @@ def wrapper(*args, **kwargs):
called_with += ", ".join(str(x) for x in args)
called_with += ", "
- called_with += ", ".join(
- f"{x}={kwargs.get(x, defaults[x])}" for x in defaults.keys()
- )
+ called_with += ", ".join(f"{x}={kwargs.get(x, defaults[x])}" for x in defaults)
try:
rv = method(*args, **kwargs)
except Exception as e:
- logger.debug(f"%s(%s) raised %s", method.__name__, called_with, e)
+ logger.debug("%s(%s) raised %s", method.__name__, called_with, e)
raise
- logger.debug(f"%s(%s) returned %s", method.__name__, called_with, rv)
+ logger.debug("%s(%s) returned %s", method.__name__, called_with, rv)
return rv
diff --git a/src/roughml/training/__init__.py b/src/roughgan/training/__init__.py
similarity index 100%
rename from src/roughml/training/__init__.py
rename to src/roughgan/training/__init__.py
diff --git a/src/roughml/training/epoch.py b/src/roughgan/training/epoch.py
similarity index 89%
rename from src/roughml/training/epoch.py
rename to src/roughgan/training/epoch.py
index 02cafe5..66d29e2 100644
--- a/src/roughml/training/epoch.py
+++ b/src/roughgan/training/epoch.py
@@ -35,9 +35,7 @@ def per_epoch(
## Train with all-real batch
discriminator.zero_grad()
# Format batch
- label = torch.full(
- (X_batch.size(0),), 1, dtype=X_batch.dtype, device=X_batch.device
- )
+ label = torch.full((X_batch.size(0),), 1, dtype=X_batch.dtype, device=X_batch.device)
# Forward pass real batch through D
output = discriminator(X_batch).view(-1)
# Calculate loss on all-real batch
@@ -77,24 +75,20 @@ def per_epoch(
if content_loss_weight <= 0:
discriminator_error_fake = criterion(output, label)
else:
- generator_content_loss = content_loss_fn(
- fake.cpu().detach().numpy().squeeze()
- )
+ generator_content_loss = content_loss_fn(fake.cpu().detach().numpy().squeeze())
generator_content_loss = torch.mean(generator_content_loss).to(fake.device)
content_loss += generator_content_loss.item() / len(dataloader)
generator_vector_content_loss = vector_content_loss_fn(
- fake.cpu().detach().numpy().squeeze()
+ fake.cpu().detach().numpy().squeeze(),
)
- generator_vector_content_loss = torch.mean(
- generator_vector_content_loss
- ).to(fake.device)
-
- vector_content_loss += generator_vector_content_loss.item() / len(
- dataloader
+ generator_vector_content_loss = torch.mean(generator_vector_content_loss).to(
+ fake.device,
)
+ vector_content_loss += generator_vector_content_loss.item() / len(dataloader)
+
discriminator_error_fake = criterion(output, label) / (0.5 + content_loss)
# Calculate gradients for G, which propagate through the discriminator
discriminator_error_fake.backward()
diff --git a/src/roughml/training/flow.py b/src/roughgan/training/flow.py
similarity index 88%
rename from src/roughml/training/flow.py
rename to src/roughgan/training/flow.py
index b58fd7d..f05cb02 100644
--- a/src/roughml/training/flow.py
+++ b/src/roughgan/training/flow.py
@@ -7,17 +7,17 @@
import pandas as pd
import torch
-from roughml.content.loss import VectorSpaceContentLoss
-from roughml.plot import animate_epochs, as_3d_surface, as_grayscale_image, plot_against
-from roughml.shared.configuration import Configuration
-from roughml.shared.context_managers import ExceptionLoggingHandler
-from roughml.training.manager import TrainingManager
+from roughgan.content.loss import VectorSpaceContentLoss
+from roughgan.plot import animate_epochs, as_3d_surface, as_grayscale_image, plot_against
+from roughgan.shared.configuration import Configuration
+from roughgan.shared.context_managers import ExceptionLoggingHandler
+from roughgan.training.manager import TrainingManager
logger = logging.getLogger(__name__)
class TrainingFlow(Configuration):
- def __init__(self, **props):
+ def __init__(self, **props) -> None:
super().__init__(**props)
if not hasattr(self.training, "manager"):
@@ -66,11 +66,10 @@ def __call__(self, get_generator, get_discriminator):
start_time = time()
with ExceptionLoggingHandler(
- logger, suppress_exceptions=self.suppress_exceptions
+ logger,
+ suppress_exceptions=self.suppress_exceptions,
) as exception_logging_handler:
- dataset_output_dir = self.process_dataset(
- generator, discriminator, path, dataset
- )
+ dataset_output_dir = self.process_dataset(generator, discriminator, path, dataset)
end_time = time()
@@ -150,9 +149,7 @@ def process_dataset(self, generator, discriminator, path, dataset):
content_loss = None
if content_loss_cache is not None:
if content_loss_cache.is_file():
- content_loss = self.content_loss.type.from_pickle(
- content_loss_cache
- )
+ content_loss = self.content_loss.type.from_pickle(content_loss_cache)
else:
content_loss = self.content_loss.type(surfaces=dataset.surfaces)
content_loss.to_pickle(content_loss_cache)
@@ -183,18 +180,10 @@ def process_dataset(self, generator, discriminator, path, dataset):
save_path_vector_loss,
) = (None, None, None, None)
if self.plot.against.save_path_fmt is not None:
- save_path_gen_vs_dis_loss = self.plot.against.save_path_fmt % (
- "gen_vs_dis_loss",
- )
- save_path_bce_vs_con_loss = self.plot.against.save_path_fmt % (
- "bce_vs_con_loss",
- )
- save_path_dis_output = self.plot.against.save_path_fmt % (
- "discriminator_output",
- )
- save_path_vector_loss = self.plot.against.save_path_fmt % (
- "content_vs_vector_loss",
- )
+ save_path_gen_vs_dis_loss = self.plot.against.save_path_fmt % ("gen_vs_dis_loss",)
+ save_path_bce_vs_con_loss = self.plot.against.save_path_fmt % ("bce_vs_con_loss",)
+ save_path_dis_output = self.plot.against.save_path_fmt % ("discriminator_output",)
+ save_path_vector_loss = self.plot.against.save_path_fmt % ("content_vs_vector_loss",)
pd.DataFrame(
data=np.array(
@@ -205,7 +194,7 @@ def process_dataset(self, generator, discriminator, path, dataset):
discriminator_output_fakes,
content_losses,
vector_content_losses,
- ]
+ ],
).T,
columns=[
"Generator Loss",
@@ -266,7 +255,8 @@ def process_dataset(self, generator, discriminator, path, dataset):
if self.plot.save_directory is not None:
(self.plot.save_directory / self.plot.grayscale.save_path_fmt).parent.mkdir(
- parents=True, exist_ok=True
+ parents=True,
+ exist_ok=True,
)
if self.plot.grayscale.save_path_fmt is not None:
@@ -286,9 +276,10 @@ def process_dataset(self, generator, discriminator, path, dataset):
)
if self.plot.surface.save_path_fmt is not None:
- (
- self.plot.save_directory / self.plot.surface.save_path_fmt
- ).parent.mkdir(parents=True, exist_ok=True)
+ (self.plot.save_directory / self.plot.surface.save_path_fmt).parent.mkdir(
+ parents=True,
+ exist_ok=True,
+ )
for i in range(self.plot.surface.limit):
true_surface = dataset.surfaces[i].squeeze()
@@ -296,13 +287,11 @@ def process_dataset(self, generator, discriminator, path, dataset):
as_3d_surface(
true_surface,
- self.plot.save_directory
- / (self.plot.surface.save_path_fmt % ("true", i)),
+ self.plot.save_directory / (self.plot.surface.save_path_fmt % ("true", i)),
)
as_3d_surface(
fake_surface,
- self.plot.save_directory
- / (self.plot.surface.save_path_fmt % ("fake", i)),
+ self.plot.save_directory / (self.plot.surface.save_path_fmt % ("fake", i)),
)
return dataset_output_dir
diff --git a/src/roughml/training/manager.py b/src/roughgan/training/manager.py
similarity index 87%
rename from src/roughml/training/manager.py
rename to src/roughgan/training/manager.py
index c32dc6f..c3b130d 100644
--- a/src/roughml/training/manager.py
+++ b/src/roughgan/training/manager.py
@@ -3,15 +3,15 @@
import torch
from tqdm import tqdm
-from roughml.shared.configuration import Configuration
-from roughml.shared.decorators import benchmark
-from roughml.training.split import train_test_dataloaders
+from roughgan.shared.configuration import Configuration
+from roughgan.shared.decorators import benchmark
+from roughgan.training.split import train_test_dataloaders
logger = logging.getLogger(__name__)
class TrainingManager(Configuration):
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
if not hasattr(self, "benchmark"):
@@ -46,15 +46,19 @@ def __call__(self, generator, discriminator, dataset):
)
train_dataloader, _ = train_test_dataloaders(
- dataset, train_ratio=self.train_ratio, **self.dataloader.to_dict()
+ dataset,
+ train_ratio=self.train_ratio,
+ **self.dataloader.to_dict(),
)
optimizer_generator = self.optimizer.type(
- generator.parameters(), **self.optimizer.params.to_dict()
+ generator.parameters(),
+ **self.optimizer.params.to_dict(),
)
optimizer_discriminator = self.optimizer.type(
- discriminator.parameters(), **self.optimizer.params.to_dict()
+ discriminator.parameters(),
+ **self.optimizer.params.to_dict(),
)
train_epoch_f = self.train_epoch
@@ -84,10 +88,7 @@ def __call__(self, generator, discriminator, dataset):
log_every_n=self.log_every_n,
)
- if (
- self.checkpoint.directory is not None
- and generator_loss < min_generator_loss
- ):
+ if self.checkpoint.directory is not None and generator_loss < min_generator_loss:
min_generator_loss = generator_loss
generator_mt, discriminator_mt = (
diff --git a/src/roughml/training/split.py b/src/roughgan/training/split.py
similarity index 91%
rename from src/roughml/training/split.py
rename to src/roughgan/training/split.py
index 104d123..012be41 100644
--- a/src/roughml/training/split.py
+++ b/src/roughgan/training/split.py
@@ -2,7 +2,7 @@
def train_test_dataloaders(dataset, train_ratio=0.8, **kwargs):
- """Construct the training and testing `DataLoader`s"""
+ """Construct the training and testing `DataLoader`s."""
train_dataset, test_dataset = train_test_split(dataset, train_ratio=train_ratio)
train_dataloader = DataLoader(train_dataset, **kwargs)
@@ -12,7 +12,7 @@ def train_test_dataloaders(dataset, train_ratio=0.8, **kwargs):
def train_test_split(dataset, train_ratio=0.8):
- """Split the original dataset into training and testing subsets"""
+ """Split the original dataset into training and testing subsets."""
train_size = int(len(dataset) * train_ratio)
test_size = len(dataset) - train_size
diff --git a/src/roughml/tuning/__init__.py b/src/roughgan/tuning/__init__.py
similarity index 100%
rename from src/roughml/tuning/__init__.py
rename to src/roughgan/tuning/__init__.py
diff --git a/src/roughml/tuning/flow.py b/src/roughgan/tuning/flow.py
similarity index 92%
rename from src/roughml/tuning/flow.py
rename to src/roughgan/tuning/flow.py
index 6d101ab..1eb724e 100644
--- a/src/roughml/tuning/flow.py
+++ b/src/roughgan/tuning/flow.py
@@ -1,11 +1,11 @@
from ray import tune
-from roughml.shared.configuration import Configuration
-from roughml.tuning.manager import TuningManager
+from roughgan.shared.configuration import Configuration
+from roughgan.tuning.manager import TuningManager
class TuningFlow(Configuration):
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
if not hasattr(self.parameters, "benchmark"):
diff --git a/src/roughml/tuning/manager.py b/src/roughgan/tuning/manager.py
similarity index 90%
rename from src/roughml/tuning/manager.py
rename to src/roughgan/tuning/manager.py
index f0f4e75..1cb19b4 100644
--- a/src/roughml/tuning/manager.py
+++ b/src/roughgan/tuning/manager.py
@@ -4,11 +4,11 @@
import torch
from ray import tune
-from roughml.shared.configuration import Configuration
+from roughgan.shared.configuration import Configuration
class TuningManager(Configuration):
- def __init__(self, **kwargs):
+ def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
if not hasattr(self, "available_cpus"):
@@ -59,7 +59,7 @@ def __call__(self, trial_fn, get_dataset, **config):
scheduler=scheduler,
progress_reporter=reporter,
local_dir=str(self.local_dir),
- checkpoint_score_attr="min-%s" % (self.metric,),
+ checkpoint_score_attr=f"min-{self.metric}",
keep_checkpoints_num=self.keep_checkpoints_num,
)
@@ -68,16 +68,15 @@ def analysis(self):
try:
return self._analysis
except AttributeError as attribute_error:
- raise TypeError(
- "No analysis available. Run the manager first"
- ) from attribute_error
+ msg = "No analysis available. Run the manager first"
+ raise TypeError(msg) from attribute_error
@property
def dataframe(self):
return self.analysis.dataframe(metric=self.metric, mode=self.mode).sort_values(
[
self.metric,
- ]
+ ],
)
@property
diff --git a/src/roughml/tuning/trial.py b/src/roughgan/tuning/trial.py
similarity index 84%
rename from src/roughml/tuning/trial.py
rename to src/roughgan/tuning/trial.py
index 50e610c..e8eac50 100644
--- a/src/roughml/tuning/trial.py
+++ b/src/roughgan/tuning/trial.py
@@ -17,14 +17,13 @@ def trial(config, checkpoint_dir=None):
if checkpoint_dir is not None:
generator_state, discriminator_state = torch.load(
- Path(checkpoint_dir) / "checkpoint", map_location=map_location
+ Path(checkpoint_dir) / "checkpoint",
+ map_location=map_location,
)
generator.load_state_dict(generator_state)
discriminator.load_state_dict(discriminator_state)
- for epoch, results in enumerate(
- training_manager(generator, discriminator, dataset)
- ):
+ for epoch, results in enumerate(training_manager(generator, discriminator, dataset)):
with tune.checkpoint_dir(epoch) as checkpoint_dir:
torch.save(
(generator.state_dict(), discriminator.state_dict()),
diff --git a/src/roughml/models/__init__.py b/src/roughml/models/__init__.py
deleted file mode 100644
index 8d3da86..0000000
--- a/src/roughml/models/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from roughml.models.cnn import CNNDiscriminator, CNNGenerator
-from roughml.models.perceptron import PerceptronDiscriminator, PerceptronGenerator
-
-__all__ = [
- "CNNDiscriminator",
- "CNNGenerator",
- "PerceptronDiscriminator",
- "PerceptronGenerator",
-]
diff --git a/src/roughml/shared/notifiers.py b/src/roughml/shared/notifiers.py
deleted file mode 100644
index 4106c18..0000000
--- a/src/roughml/shared/notifiers.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import json
-import logging
-from abc import ABC
-
-import emails
-from emails.template import JinjaTemplate as _
-
-from roughml.shared.configuration import Configuration
-
-logger = logging.getLogger(__name__)
-
-
-class Notifier(Configuration, ABC):
- def __call__(self, *args, **kwargs):
- raise NotImplementedError
-
-
-class GmailNotifier(Notifier):
- def __init__(self, subject, email_template, user, password, sender):
- super().__init__(
- subject=subject,
- email_template=email_template,
- user=user,
- password=password,
- sender=sender,
- )
-
- def __call__(self, receivers, attachments, **context):
- logger.debug("Sending an email to %r", receivers)
-
- message = emails.html(
- subject=_(self.subject),
- html=_(self.email_template),
- mail_from=self.sender,
- )
-
- for attachment in attachments:
- message.attach(data=attachment.open("rb"), filename=attachment.name)
-
- response = message.send(
- to=receivers,
- render=context,
- smtp={
- "host": "smtp.gmail.com",
- "timeout": 5,
- "port": 587,
- "tls": True,
- **{"user": self.user, "password": self.password},
- },
- )
-
- if response.status_code != 250:
- raise ConnectionError(
- "Sending email failed with status code %d" % (response.status_code)
- )
-
-
-class EndOfTrainingNotifier(GmailNotifier):
- _subject = "RoughML Flow {{identifier}} - {{generator}} / {{discriminator}} over dataset {{dataset.name}}"
-
- _email_template = """
-
- The {{generator}} / {{discriminator}} run over dataset {{dataset.name}}
- {% if succeeded %}
- completed successfully
- {% else %}
- failed
- {% endif %}
- after {{elapsed_time}} hours.
-
- """
-
- _sender = ("RoughML", "no-reply@roughml.com")
-
- def __init__(self, user, password):
- super().__init__(
- self._subject, self._email_template, user, password, self._sender
- )
-
- def __call__(self, receivers, log_file=None, **context):
- attachments = []
- if log_file is not None:
- attachments.append(log_file)
-
- super().__call__(receivers, attachments, **context)
-
- @classmethod
- def from_json(cls, credentials_path):
- with credentials_path.open("r") as file:
- data = json.load(file)
-
- return cls(data["user"], data["password"])
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_roughml.py b/tests/test_roughml.py
new file mode 100644
index 0000000..341b574
--- /dev/null
+++ b/tests/test_roughml.py
@@ -0,0 +1,9 @@
+"""Tests concerning the `roughgan` module."""
+
+from roughgan.roughgan import factorial
+
+
+def test_roughml():
+ assert factorial(0) == 1
+ assert factorial(1) == 1
+ assert factorial(5) == 120