From 71a905c6b594a525a5cb90f43a9ecb73ed0bbfa4 Mon Sep 17 00:00:00 2001 From: Raphael Vallat Date: Wed, 14 Aug 2019 10:18:17 -0700 Subject: [PATCH] Updated doc, notebook, and hypno example --- README.rst | 6 +- html/hypno.html | 97 +- html/main.html | 54 +- notebooks/03_slow_fast_spindles.ipynb | 59 +- notebooks/04_detection_NREM_only.ipynb | 228 +- notebooks/07_sw_detection_multi.ipynb | 95 +- notebooks/10_bandpower.ipynb | 2 +- notebooks/data_full_6hrs_100Hz_hypno.hyp | 21833 ----------------- notebooks/data_full_6hrs_100Hz_hypno_30s.txt | 722 + yasa/hypno.py | 10 +- yasa/main.py | 18 +- 11 files changed, 913 insertions(+), 22211 deletions(-) delete mode 100644 notebooks/data_full_6hrs_100Hz_hypno.hyp create mode 100644 notebooks/data_full_6hrs_100Hz_hypno_30s.txt diff --git a/README.rst b/README.rst index e5210a0..b311c32 100644 --- a/README.rst +++ b/README.rst @@ -75,7 +75,7 @@ In order to use YASA, you need: - Some basic knowledge of Python and especially the `NumPy `_, `Pandas `_ and `MNE `_ libraries. - A Python editor: YASA works best with `Jupyter Lab `_, a web-based interactive user interface. - Some sleep EEG data, either as a NumPy array, or as a raw MNE object (for instance, using the `mne.io.read_raw_edf `_ function for EDF file). The units of the data MUST be uV. -- Optionally, a sleep staging vector (= hypnogram) to run the detections on specific sleep stages. YASA requires that the data and hypnogram have the same sampling frequency. +- Optionally, a sleep staging vector (= hypnogram) to run the detections on specific sleep stages. To facilitate masking and selection operations, YASA requires that the data and hypnogram have the same sampling frequency and shape. If not, YASA provide some `convenient functions `_ to load and upsample hypnogram data to the desired shape. Examples ~~~~~~~~ @@ -108,6 +108,10 @@ The examples Jupyter notebooks are really what make YASA great! In addition to s 9. `notebooks/09_REMs_detection.ipynb `_: REMs detection. +**Bandpower** + +10. `notebooks/10_bandpower.ipynb `_: bandpower per channel and per sleep stage. + Typical uses ------------ diff --git a/html/hypno.html b/html/hypno.html index 6d3ffb5..1a504e4 100644 --- a/html/hypno.html +++ b/html/hypno.html @@ -95,7 +95,7 @@

Module yasa.hypno

import pandas as pd __all__ = ['hypno_str_to_int', 'hypno_int_to_str', 'hypno_upsample_to_sf', - 'hypno_fit_to_data', 'hypno_upsample_to_data'] + 'hypno_upsample_to_data'] ############################################################################# @@ -186,8 +186,9 @@

Module yasa.hypno

def hypno_fit_to_data(hypno, data, sf=None): """Crop or pad the hypnogram to fit the length of data. - Hypnogram and data MUST have the SAME sampling frequency. If not, - please use the ``hypno_upsample_to_sf`` function before. + Hypnogram and data MUST have the SAME sampling frequency. + + This is an internal function. Parameters ---------- @@ -245,9 +246,6 @@

Module yasa.hypno

resulting hypnogram to corresponding EEG data, such that the hypnogram and EEG data have the exact same number of samples. - This function is a shortcut to - ``hypno = hypno_fit_to_data(hypno_upsample_to_sf(...), ...)``. - Parameters ---------- hypno : array_like @@ -284,87 +282,6 @@

Module yasa.hypno

Functions

-
-def hypno_fit_to_data(hypno, data, sf=None) -
-
-

Crop or pad the hypnogram to fit the length of data.

-

Hypnogram and data MUST have the SAME sampling frequency. If not, -please use the <a title="yasa.hypno.hypno_upsample_to_sf" href="#yasa.hypno.hypno_upsample_to_sf">hypno_upsample_to_sf()</a> function before.

-

Parameters

-
-
hypno : array_like
-
The sleep staging (hypnogram) 1D array.
-
data : np.array_like or mne.io.Raw
-
1D or 2D EEG data. Can also be a MNE Raw object, in which case data and -sf will be automatically extracted.
-
sf : float, optional
-
The sampling frequency of data AND the hypnogram.
-
-

Returns

-
-
hypno : array_like
-
Hypnogram, with the same number of samples as data.
-
-
-Source code -
def hypno_fit_to_data(hypno, data, sf=None):
-    """Crop or pad the hypnogram to fit the length of data.
-
-    Hypnogram and data MUST have the SAME sampling frequency. If not,
-    please use the ``hypno_upsample_to_sf`` function before.
-
-    Parameters
-    ----------
-    hypno : array_like
-        The sleep staging (hypnogram) 1D array.
-    data : np.array_like or mne.io.Raw
-        1D or 2D EEG data. Can also be a MNE Raw object, in which case data and
-        sf will be automatically extracted.
-    sf : float, optional
-        The sampling frequency of data AND the hypnogram.
-
-    Returns
-    -------
-    hypno : array_like
-        Hypnogram, with the same number of samples as data.
-    """
-    # Check if data is an MNE raw object
-    if isinstance(data, mne.io.BaseRaw):
-        sf = data.info['sfreq']
-        data = data.times  # 1D array and does not require to preload data
-    data = np.asarray(data)
-    hypno = np.asarray(hypno)
-    assert hypno.ndim == 1, 'Hypno must be 1D.'
-    npts_hyp = hypno.size
-    npts_data = max(data.shape)  # Support for 2D data
-    if npts_hyp < npts_data:
-        # Hypnogram is shorter than data
-        npts_diff = npts_data - npts_hyp
-        if sf is not None:
-            dur_diff = npts_diff / sf
-            warnings.warn('Hypnogram is SHORTER then data by %.2f seconds. '
-                          'Padding hypnogram (with last value) to match '
-                          'data.size.' % dur_diff)
-        else:
-            warnings.warn('Hypnogram is SHORTER then data by %i samples. '
-                          'Padding hypnogram (with last value) to match '
-                          'data.size.' % npts_diff)
-        hypno = np.pad(hypno, (0, npts_diff), mode='edge')
-    elif npts_hyp > npts_data:
-        # Hypnogram is longer than data
-        npts_diff = npts_hyp - npts_data
-        if sf is not None:
-            dur_diff = npts_diff / sf
-            warnings.warn('Hypnogram is LONGER then data by %.2f seconds. '
-                          'Cropping hypnogram to match data.size.' % dur_diff)
-        else:
-            warnings.warn('Hypnogram is LONGER then data by %i samples. '
-                          'Cropping hypnogram to match data.size.' % npts_diff)
-        hypno = hypno[0:npts_data]
-    return hypno
-
-
def hypno_int_to_str(hypno, mapping_dict={0: 'W', 1: 'N1', 2: 'N2', 3: 'N3', 4: 'R', -1: 'Art'})
@@ -467,8 +384,6 @@

Returns

Upsample an hypnogram to a given sampling frequency and fit the resulting hypnogram to corresponding EEG data, such that the hypnogram and EEG data have the exact same number of samples.

-

This function is a shortcut to -hypno = hypno_fit_to_data(hypno_upsample_to_sf(...), ...).

Parameters

hypno : array_like
@@ -497,9 +412,6 @@

Returns

resulting hypnogram to corresponding EEG data, such that the hypnogram and EEG data have the exact same number of samples. - This function is a shortcut to - ``hypno = hypno_fit_to_data(hypno_upsample_to_sf(...), ...)``. - Parameters ---------- hypno : array_like @@ -598,7 +510,6 @@

Index

  • Functions

      -
    • hypno_fit_to_data
    • hypno_int_to_str
    • hypno_str_to_int
    • hypno_upsample_to_data
      • diff --git a/html/main.html b/html/main.html index 7bcb08f..c8b6187 100644 --- a/html/main.html +++ b/html/main.html @@ -548,9 +548,9 @@

      Module yasa.main

      detection will only be applied to the value defined in ``include`` (default = N1 + N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, - 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading - your hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (1, 2, 3), meaning that the detection is applied on N1, N2 and N3 @@ -965,9 +965,9 @@

      Module yasa.main

      detection will only be applied to the value defined in ``include`` (default = N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (2, 3), meaning that the detection is applied only on N2 and N3 sleep. @@ -1339,9 +1339,9 @@

      Module yasa.main

      detection will only be applied to the value defined in ``include`` (default = REM sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (4), meaning that the detection is applied only on REM sleep. @@ -1972,9 +1972,9 @@

      Parameters

      detection will only be applied to the value defined in include (default = REM sleep). hypno MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, -1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your -hypnogram vector, please read the Visbrain documentation at -http://visbrain.org/sleep. +1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several +convenient functions to load and upsample hypnogram data: +https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html
      include : tuple, list or int
      Values in hypno that will be included in the mask. The default is (4), meaning that the detection is applied only on REM sleep. @@ -2057,9 +2057,9 @@

      References

      detection will only be applied to the value defined in ``include`` (default = REM sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (4), meaning that the detection is applied only on REM sleep. @@ -2302,9 +2302,9 @@

      Parameters

      detection will only be applied to the value defined in include (default = N1 + N2 + N3 sleep). hypno MUST be a 1D array of integers with the same size as data and where -1 = Artefact, -0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading -your hypnogram vector, please read the Visbrain documentation at -http://visbrain.org/sleep.
      +0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several +convenient functions to load and upsample hypnogram data: +https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html
      include : tuple, list or int
      Values in hypno that will be included in the mask. The default is (1, 2, 3), meaning that the detection is applied on N1, N2 and N3 @@ -2380,9 +2380,9 @@

      Notes

      detection will only be applied to the value defined in ``include`` (default = N1 + N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, - 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading - your hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (1, 2, 3), meaning that the detection is applied on N1, N2 and N3 @@ -2836,9 +2836,9 @@

      Parameters

      detection will only be applied to the value defined in include (default = N2 + N3 sleep). hypno MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, -1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your -hypnogram vector, please read the Visbrain documentation at -http://visbrain.org/sleep.
      +1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several +convenient functions to load and upsample hypnogram data: +https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html
      include : tuple, list or int
      Values in hypno that will be included in the mask. The default is (2, 3), meaning that the detection is applied only on N2 and N3 sleep. @@ -2917,9 +2917,9 @@

      Notes

      detection will only be applied to the value defined in ``include`` (default = N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (2, 3), meaning that the detection is applied only on N2 and N3 sleep. diff --git a/notebooks/03_slow_fast_spindles.ipynb b/notebooks/03_slow_fast_spindles.ipynb index 025849c..9b0fd2d 100644 --- a/notebooks/03_slow_fast_spindles.ipynb +++ b/notebooks/03_slow_fast_spindles.ipynb @@ -24,16 +24,7 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Programs\\Anaconda\\lib\\site-packages\\vispy-0.5.3-py3.6.egg\\vispy\\visuals\\isocurve.py:22: UserWarning: VisPy is not yet compatible with matplotlib 2.2+\n", - " warnings.warn(\"VisPy is not yet compatible with matplotlib 2.2+\")\n" - ] - } - ], + "outputs": [], "source": [ "import mne\n", "import yasa\n", @@ -44,7 +35,6 @@ "from scipy.linalg import eigh\n", "from scipy.interpolate import RectBivariateSpline\n", "from scipy.signal import find_peaks, welch, detrend\n", - "from visbrain.io import read_hypno, oversample_hypno\n", "sns.set(context='notebook', font_scale=1.3)" ] }, @@ -84,14 +74,11 @@ "source": [ "### Load the hypnogram\n", "\n", - "Next, we load the sleep staging vector (a.k.a hypnogram). To do so, we use [Visbrain](http://visbrain.org/sleep)'s built-in functions. Please see [here](http://visbrain.org/sleep.html#hypnogram) to read more about hypnogram format and loading in Visbrain.\n", + "Next, we load the sleep staging vector (a.k.a hypnogram), which is a simple text file in which each value represents 30 seconds of data. Sleep stages are encoded as integer (*0: Wake, 1: N1 sleep, 2: N2 sleep, 3: N3 sleep, 4: REM sleep*).\n", "\n", - "In the code below, we first load a 30-seconds encoded stage vector (`hypno_30s`) and over-sample it to have the same size as the data (i.e. one point per data sample). This yields a NumPy array (`hypno`) where:\n", - "- 0 = Wake\n", - "- 1 = N1 sleep\n", - "- 2 = N2 sleep\n", - "- 3 = N3 sleep\n", - "- 4 = REM sleep" + "In the code below, we load our 30-sec hypnogram and upsample it to match the sampling frequency and length of data, using YASA's built-in [hypno_upsample_to_data](https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html#yasa.hypno.hypno_upsample_to_data) function.\n", + "\n", + "Please refer to [10_bandpower.ipynb](10_bandpower.ipynb) for more details on how to manipulate hypnogram in YASA." ] }, { @@ -100,27 +87,25 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "Hypnogram successfully loaded (data_full_6hrs_100Hz_hypno.hyp)\n", - "04-Mar-19 19:03:37 | \u001b[1;37mINFO\u001b[0m | Hypnogram successfully loaded (data_full_6hrs_100Hz_hypno.hyp)\n" + "(2161058,) Unique values = [0. 1. 2. 3. 4.]\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "(2161058,)\n", - "Unique values = [0 1 2 3 4]\n" + "c:\\users\\raphael\\desktop\\yasa\\yasa\\hypno.py:160: UserWarning: Hypnogram is SHORTER then data by 10.58 seconds. Padding hypnogram (with last value) to match data.size.\n", + " 'data.size.' % dur_diff)\n" ] } ], "source": [ - "hypno_30s, _ = read_hypno('data_full_6hrs_100Hz_hypno.hyp')\n", - "hypno = oversample_hypno(hypno_30s, data.shape[1])\n", - "print(hypno.shape)\n", - "print('Unique values =', np.unique(hypno))" + "hypno_30s = np.loadtxt('data_full_6hrs_100Hz_hypno_30s.txt')\n", + "hypno = yasa.hypno_upsample_to_data(hypno=hypno_30s, sf_hypno=(1/30), data=data, sf_data=sf)\n", + "print(hypno.shape, 'Unique values =', np.unique(hypno))" ] }, { @@ -309,7 +294,7 @@ "outputs": [ { "data": { - "image/png": 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SylpS3Wlj4svHGInFF/n34XInxjkxA2Nc5XPAv7TWX+cpMw8jedyCsTTImxhJ8oUaB8x0xbQeo1vzl6IKa63fxkiK78A4vi8wkrlrXY8fwEg+mmOMOf0LqA8M1lqfLiaOIo/L9YVgKEbdfI1Rv9cDY7Vr+RqMWcKJGF8Q/sJI+MdhdH0W1fJ6P0a36gfFxOWOYt8ntNYHMV7zYcAGjDrLv4D0DIzxo69itD72w1iexu39uEMbyxhdjtH6uhWjPmdjnLv5y7pT7+9jLDHyfxhLnnwH/IrxehEVjMXplGVjhBDiQrhajw9prSvU8g0V9biKo/Kt6WdyOEK4RVrihBBCCCF8kCRxQgghhBA+SLpThRBCCCF8kLTECSGEEEL4oIq8xEggxjpSByl60U0hhBBCCG9gw7iSzgbcWxS8QidxXcl3KRMhhBBCCC/Xh3+upFOsipzEHQQ4cSIdh8P3x/1FRISSklLcddIrB6kHg9SD1EEuqQepg1xSD75dB1arherVQ6CYtUPzMyWJc11oexPGooi/llDWgnEh4ESt9bhS7CYHwOFwVogkDqgwx3GxpB4MUg9SB7mkHqQOckk9VIg6cHsIWLlPbHBdk/IHjAv2uuMBjJWyhRBCCCGES7kmcUqpThgD9hq7WT4a+B/GJVuEEEIIIYRLebfEDcS4pt+lJRV0daNOxbgod2LZhiWEEEII4VvKdUyc1vqN3L/duFb2gxgXIX8fY6aGEEIIIYRw8crZqUqppsBzQC+ttcONhK9IERGhHovLbJGRYWaH4BWkHgxSD1IHuaQezK2DU6dOcfjwEbKzs02LAeDIEVN37xW8tQ4sFggJCaFhw4ZYrZ7rBPW6JM7VjToFeF1rrS92eykpaRVhpgqRkWEcPZpqdhimk3owSD1IHeSSejC3Ds6cSSc19QTh4ZH4+wdgsVhMiQPAz8+K3e4wbf/ewFvrwOl0cPLkMRITkwkLCy+0jNVqKXXDkzdedqsRxmzUZ5VSaUqpNOAq4GbX30IIIYRXSEs7SXh4JAEBgaYmcMK7WSxWwsKqc+aMZ9MYr2uJA5KB5vnuex/IAJ4q/3CEEEKIwuXk2PH3DzA7DOEDbDY/HA7PXgXUa5I4pVQkcEZrnQbE5XssHUjTWscV+mQhhBDCJNICJ9xRFueJN3WnbgAmmB2EEEIIIYQvMK0lTmttyXc7qpiy15Z5QEIIIUQlcu21ozh0qOBlOgMCAli6dE2Z7DMjI4OlSxdy+eVXuVW+d+8uTJz4Nr16XfhKYz///COzZ//Ivn1JVKkSRIcOHbnrrnuJjm4GwJQpk1mzZhVTpky/4H2YxWu6U4UQQoiKwu6AzGx7ue4zyOJf6u61e+55gBEjRp13X1l2D3/33desXr3S7STuYs2aNZOpUyfz2GNP0apVa9LSUpkx4yvuv/8upk//nsjIWuUSR1mRJE4IIYTwsMxsOxt2Hi7XfXZrU4dgf1upnhMcHExERM0yiqggp7N8l/z69dc5XHvtjQwaNOTcff/73wtcc83lLFq0gJtuGluu8XiaJHFClEJpvl0H+vvh502jToUQohSmTJmM1jvJysoiNjaGCRP+w8CBQ5g581t+/vlHjhw5THR0M+6//2E6deoCwMsvP09wcDDp6en88ccywsPDueKK0Ywdezvz5s3liy8+A4xu0lWrNnLs2DHef/9NNmxYT0ZGOnXr1mP8+PvOS7ouhtVq5e+/t5GVlUVAgDGL2M/Pj48++pywsMIXiN6xYzsff/weWscSEhLCqFFXcfvtd5GaeppRo4by0UdTaNu2HQBjxlxNdHRTXn75dQDmzp3Njz9+x5dffueR+EsiSZwQpVCab9ddW9XGL1BeYkII37VmzSruv/9hHnlkAhEREXz11VS+//4bJkz4D82bN2fu3DlMmPAw06f/QP36DQCYM2cWY8fezpQp01m6dBGTJ39Ijx69GDRoCAkJ8WzcuJ4333wPgBdffBY/Pz8++GAyfn7+fPvtdCZOfImePXsTFBR00fFff/1NvPDCM4wefRk9evSkU6eudO9+6blY80tKSuThh+/hiiuu5l//eprExD1MmvQS/v7+3HrrHbRs2ZrNmzfStm07jh07yv79+0hN/Weh6fXr/+TSS3tfdNzuknYCIYQQopL64IN3GDKkz3k/O3fuOPd4UFAwY8aMpUmTaMLCqvLjj99x2213MGjQEBo1iuKBBx6hadPm/PDDN+ee06BBQ+688x4aNWrMuHHjqVq1Gjt37iAwsApBQUHYbLZzXbi9e/dlwoR/Ex3djEaNGjNmzC1kZKRz+PAhjxzf0KHDeeedj2jTph3Lli3l1Vdf4OqrR/Lqqy+QlZVVoPycOT/ToEFDHnnkCRo3jqJfvwGMH38fM2Z8idPppEePnmzatBGATZs20rlzVzIy0klKSsThcLBx43ouvbSXR2J3hzQTCCGEEJXULbeMY9iwEefdV6tW7XN/16lT59xEhxMnjnPy5Elat257Xvn27TsQF/fPMq75W7mCg4OLvK7s6NHXsnTpIr75ZjpJSXvZtSsWoMRFcbdu3cyECQ+fuz106GX8619PF1q2S5dudOnSjczMTLZt28yiRQuYN28uYWFVefDBR88rm5i4p8DxtWvXgfT0dI4ePUL37j355puvyM7OdiVx3cjMPMvWrVs4fdpokWvbtn2xsXuSJHFCCCFEJRUeHk6DBg2LfDwgIPDc34GBxt/5Z6/m5DhwOv+5Xqm/v38hWyo4ocHpdPL44w9y/HgKgwYNpXv3HtSoEcHdd48rMe6WLVvxxRf/tP6FhIQUKHP48CGmT5/Gffc9SEhIKIGBgXTt2oOuXXtQpUoV1q1bUyCJM8bNnX98uQmlw+GkVavWVKlShZiYHWze/BcjR15BRkY6W7Zs4tixo3Tr1h2brXSTSy6GJHFCCCGEKFFISCgRETXZvv1v2rXrcO7+7du30bJla7e2kTcB3LMngU2bNvLDD3OoV68+AGvXrgKgpEmsgYFVik0+wUhA5879mXbt2hdobQwJCSU8vHqB50RFNWHNmpXn3ff339sICQmhZs2aWK1WunTpzqJF80lJOUarVm3IyMjg9ddf4cCB/Vx55TXFB+5hMiZOCCGEEG65+eZb+eqrqSxdupikpL18+OG7xMfvZvRo99bkDwoK5sSJ4yQn7ycsLAybzcaSJYs4dOgga9eu4s03JwKQnV1wvFppVa9enWuvvYE33niN77+fQVJSIgkJccyaNZMff/y+0OVFrr76Og4cSObdd98kKSmRP/5YxtSpkxk9+jr8/Ix2rx49evLbb7/Qpk07/Pz8aN/+Eo4ePUJMzA66d+950XGXhrTECSGEEMIt1157IxkZGbz//lucOnWKFi0Ub7/9IU2bNnPr+f37D2TOnJ+49dYb+P77OfzrX/9h6tTPmDbtM+rVq8+4ceOZMmUyu3Zpt1v3ivPAA49St2495s2by+eff4LT6aR5c8ULL7xS6CzSyMhavP76u3z44bvMnv0jNWpEcMMNN3PLLePOlene/VLsdjsdOnQEICgoCKVa4XQ6qV69YOteWbKU98J75SgK2JOSkobD4fvHGBkZxtGjqSUXrODMrof0zNItMRJSRkuMmF0P3kDqwCD1YG4dHDq0lzp1Ghe435QrNlTxx1pxP9Pd4udnxW53lFzQJEWdLwBWq4WIiFCAJkCiO9uTljghhBDCw/yslPs6kX42C3Z75U7iKhsZEyeEEEII4YMkiRNCCCGE8EGSxAkhhBBC+CBJ4oQQQgghfJAkcUIIIYQQPkiSOCGEEEIIHyRJnBBCCCGED5IkTgghhBDCB8liv0IIIUQldO21ozh06OC52zabjVq16jB8+Ahuu+3Oc9cKvZDtjhlzC9dcc0OJZU+cOMGGDesYOnR4iWUPHjzAddddwVdffUd0tHuX+SostrzHnCsgIIClS9dc0DZzOZ1O5s6dzbBhIwgMDLyobblLkjghhBDCwwLIhOyz5bpPqzUIOwGles499zzAiBGjAMjJySE2dicvvvgsNpuNcePGX1Acn332FUFBQW6V/fjj98jISHcrifOUvMecy2KxXPR2t2zZxKRJLzN48LCL3pa7JIkTQgghPC37LGlxm8t1l1VbdAJb6ZK44OBgIiJqnrtdq1Zthg4dzvLlSy84iSvNReDNuH57/mP2FDOORZI4IYQQQpxjs9nw9/cHwG638+mnH7F48QJSUo4RHl6dESNGcc89DwDw4IN3Ex3dlA0b1pGWlsYnn0zlkUfuO9ed6nQ6mTHjS2bNmklqaipKteShhx5HqZZMmTKZ+fN/BYxuzh9/nEtSUiLvv/8227ZtISsri6ioJjz00ON06tSl3I7/m2++Ys6cWRw+fIiQkBD69RvIY489ib+/P0ePHmHSpJfZunULNpuNnj178dhjT5GaepqHH74XgKFD+/Lee5+US8wysUEIIYQQ5OTk8NdfG1iwYB69e/cF4Ouvp7Fs2WKee+5lvvvuZ8aNG8/06V+wZcumc8/79dc5PPHEv5k48S3q129w3jZ//vlHZs/+iaeeeoYpU6ZzySWdePjhe0hJOcaYMWMZOHAIPXv24bPPvsLpdPLkk48THl6dzz77iilTphMZWZtXX32x3OpgwYJ5TJ8+jccee5LvvvuZJ574D7///huLFy8A4K23JpKT4+Dzz7/knXc+QutYpk6dTK1atXn55UkAfP/9bNq161Au8UpLnBBCCFFJffDBO3zyyQcAZGVlYbPZGDJkOGPGjAUgOroZTz/9HB06XALA6NHXMm3aZ+zZk8All3QCoEuXbnTp0q3Q7X/99TTuu+8hune/FIDx4+9l48b1zJ07m3HjxhMYGIjDkUP16tU5c+YMV1xxFVdccTWhoaEAXHPN9TzxxENkZnpufGHeY8713nuf0KpVGyIja/Hf/z5Hjx49AahTpy7ffz+DPXsSADhw4ABRUU2oU6ceAQEBvPTSJBwOBzabjbCwqgBUr17jXEtmWZMkTgghhKikbrllHMOGjQDA39+fiIia581K7du3P5s2beTDD98lKSmR3bt3kZKSgsORc65MnTp1C912RkYGR44c5rXXXmTSpJfP3Z+VlUX9+vULlA8KCuLqq69nwYJ5xMbuZN++vWgdC0BOjqPY41i4cD6vv/7Kudtjx97OrbfeUeIx56pVqzYAnTp1ITY2hsmTPyQpKZH4+HiSk/eda1kbP/4ennvuaUaOHEyXLt3o128AQ4aU36SM/CSJE0IIISqp8PBwGjRoWOTjU6ZM5qeffmDkyCsYNGgoDz/8BA89dM95ZQICCl9Ow+EwEq///vf/aNFCnfdYYbNXz5w5w91330aVKkH07TuAfv0GkJWVxdNPTyjxOHr37kvr1m2x2Szk5DipWrVqkWWLO+Z58+by5puvcfnlV9KzZx/Gj7/vvOSwT5/+/PTTb6xa9Qd//rmaSZNeYdWqFbz00sQSYywLksQJIYQQolA//zyTBx54hJEjrwAgNTWV48dT3JqJGRoaSkREBMeOHWHgwMHn7p848SU6d+7K4MHDzlvaY/Pmv9i/fx+//7783Dprs2bNdD1a/P6Cg0MIDg7Bz8+K3V58q11xZs2ayU033cqddxqJqt1uJzl5P61atQFg8uQP6du3P6NGXcWoUVexePECnn/+v9jtdo8sU1JaMrFBCCGEEIWqWrUaa9euJjl5PzEx23nmmaew2+1kZWW79fybbrqVL774nCVLFpGcvJ+PP36fBQvmERUVDRgtcocPH+LIkcNUrVqN7Oxsli1bzKFDB1m8eAGff/4JgNv7u1hVq1Zj06aNJCbuIS5uNy+++D9SUo6RnZ0FwL59Sbz11kRiY3eSlLSX5cuX0KxZC/z8/AgKCgZg925NZmZmucQrSZwQQgghCvX008+TnLyPsWNv4Nln/4NSLenffyC7d2u3nn/ddWO48cab+fDDdxg79gY2bFjHa6+9RbNmzQEYPnwkR44c4bbbxtCqVWvGj7+Xjz56j7Fjr+fbb7/m8cefxM/Pj927Y8vyMM959NEncDgc3HnnLUyY8DDBwSFcffV15453woT/UK9efR5//EHuuONmzpw5e25WatOmzejW7VIeffR+Vq9eWS7xWsxYnK6cRAFIyelwAAAgAElEQVR7UlLScDh8/xgjI8M4ejTV7DBMZ3Y9pGfa2bDzsFtlu7aqTUhg2YxYMLsevIHUgUHqwdw6OHRoL3XqNC5wvylXbAgM4qyjdIv9VjQX251a1oo6XwCsVgsREaEATYBEd7YnY+KEEEIID8siEPzL5/qZufysVnB4bwIjPE+6U4UQQgghfJApLXFKqUBgE/CU1vrXIsr0BCYBHYCjwOfARK11TmHlhRBCCCEqk3JP4pRSQcB3QOtiyjQE5gOTgduBVsAXQCbwZjmEKcRFs1gtpGfa3Sob6O+Hn7SLCyGEKIVyTeKUUp2Ar4CSPtmuAw5orZ903d6tlHoLGIskccJHZGbnsHXXUbfKdm1VG78ymgQhhBCiYirv7/4DgTnApSWUm4PRApeXE6hSFkEJIYQQF6oCr/IgPKgszpNy/eqvtX4j92+lVHHl4oH4PGVDgLuBhWUZnxBCCFEaNpsf2dlZRV56SohcOTl2rFabR7fp9f03Sil/4BsgBPi/0j7fteZKhRAZGWZ2CF7BzHpwHs8gLNS9BmF/fz+3ywYHBxJZI7hUsXiiHnLOpOHIzCi2jDUwGFuQd76O5DVhkHowrw4CAupy8OAhwsNrEhAQaMqll/Lyk8G1XlkHTqeDU6dOERkZ4dFz1auTONckiB+AfsAQrXVyabchi/1WLGbXQ0amndQ09xbwzM52v2xGRiZHc9yfeO2pegjIPkVa3OZiy4Q260hWmve9hsw+F7yF1IPZdWAlOLgax48fJSfHvYlMZRaJ1XruovOVlffWgYWAgCpAlSLP1TyL/brNa5M4pVRV4FegHUYCt87kkIQQQogCgoJCCAoKMTsMSeipfHXglUmcUsoGzMZYWmSA1nqLySEJIYQQQngVr0nilFKRwBmtdRpwH9AfuBo4pJSq4yrm0FofMSlEIYQQQgiv4U2j/zYAE1x/Xw9YgJ+Bg3l+YswJTQjvlJWVRWZmptlhCCGEMIFpLXFaa0u+21F5/u5b7gEJ4SNiY2N4551fWLFiJSkpxwCoU6cuXbp04+qrr6Np0+YmRyiEEKI8eE13qhBmsjsgM7vkmWVmTnTOyEjnnXfe4PfffyM4OJiePfvQqFFjnE4niYkJLFw4n7lzZzNo0FAefXQC1aqFmxesEEKIMidJnBAYCdyGnYdLLNehRWQ5RFNQcvJ+Jkx4mIMHDzB27O089NB9nM23eklq6mlmzvyOr7+exubNG3nppUm0bdvelHiFEEKUPW8aEyeEKMTBgwd49NH7SUtL5b33PuGuu+4jLKzgYpFhYVW54467+fTTaQQFhfDYYw+wdu0qEyIWQghRHiSJE8KLnT59iscee4D09HTefPMD2re/pMTnNGvWgo8++oyoqCY8/fS/WLdubTlEKoQQorxJEieEl3I6nbz66oscOXKYSZPepkWLoq83nF/16jV4552PiI5uyrPP/getY8swUiGEEGaQJE4ILzVz5nesXr2Ce+996ILGtoWEhDJx4ttUrVqVf//7cY4fTymDKIUQQphFkjghvNCBA8l8+ulH9OzZh+uuu/GCt1OzZiSvvfYmqampvPTS8156TUEhhBAXQpI4IbzQe++9hc1m5fHHn8RisZT8hGI0bdqcRx55go0b1zFjxpceilAIIYTZJIkTwsusXr2SNWtWMm7cXdSqVdsj27z88isZOHAIU6d+Snx8nEe2KYQQwlySxAnhRXJycvj44/dp3LjJRXWj5mexWHj00X8RFlaViRNfxG4veWFjIYQQ3k2SOCG8yJIli0hKSuTOO+/Bz8+za3GHh4fz6KMTiI3dycyZ33l020IIIcqfJHFCeAm73c60aZ/RtGkz+vbtXyb7GDBgMD179mbatM85duxomexDCCFE+ZAkTggvsWTJQvbv38cdd9yN1Vr4SzOATAKyT5F98ggB2aeK/iGz0OdbLBYeeuhx7PZsPvnkg7I8HCGEEGVMrp0qhBdwOp18//0MmjRpSu/e/YoumH2WtLjNWEIDSUsrPFEDCG3WEfwDC32sfv0G3HjjzUyfPo1rLx9GdOHFhBBCeDlpiRPCC/y9bTNxcbu57robLnpJEQCblWJb6u644WpqRtTgg8mf4nQ6PXAEQgghypu0xIlK7/jxFNZv/Iu9R89QLbwm1WvWJjAwqFxjmD3re6pVq8aQIcM9s0F7JmkJMcUWuWV4f96ZMYs1W2PodUkbz+xXCCFEuZEkTlRKTqeT+fN/5eefZxa4rqi/fwCXdB9Iz/6jiKhVr8xjOX7sEH+uXcUtt4wjMLBKme8v12W9ujLrj3VMnf07Pdq1xGazldu+hRBCXDxJ4kSlk56exhtvvMaSJQtp0aIld911H23ad2ZHwjFOnTxG3M7NbFq7mI2rF9C193CGXXkb/gFlN3Dsr7WLsVgsXHXVNWW2j8LYbDYeuONWnnrhVZZu2MKQHp3Ldf9CCCEujiRxolI5cuQwjzxyPwcPJnPXXfdx8823YbVaSc+0c9p5mIYo2nbsxeDLb2HFoh/584/f2Bsfw/XjniCyTkOPx5OTk8OWdUvp0rUHkZG1PL79kvTvdSlN6tfh29+XMahbxyJnxQohhPA+8o4tKo3MzEyeeeYpjh9P4d13P2bs2NuLTFpCq4Yz4prx3HLvM6SdPsHkN54kYdc2j8cUF7uZ1NMnGDXisuKXDHH92Mjx6P6tVis3XTaQpINHWLVlh0e3LYQQomxJS5yoFJxOJ2+/PYnY2BheemkiHTp0dOt5LVp35r6n3uarj/6Prye/TKPawfhVa+axuDb/uYSQ0Kr06tKRtLjNJZavFt3aY/vO1bdze76cu5AZ85bQp2Nbj8yOFUIIUfakJU5UCnPnzmbevLnceusd9O07oFTPrVqtBrc/9CKRtRvwyv/9h9i/N3gkpvTUU8T+vYEO3Qbg7+/vkW1eCJvVypjhA4nfd4B122NLfoIQQgivIEmcqPBOnjzBRx+9R5cu3bj99rsuaBshoVUZ9+ALNIluzsxpb7B/766LjmvHlrU4HDlc0rWYxX3LyaDuHakdUZ0Zvy2RdeOEEMJHSBInKrwvv5xCZuZZHnlkwkUtoxEUHMIzL0witGp1Znz6CidSDl9UXH9vWklk7QbUrhd1UdvxBD+bjRuH9WfnniS26HizwxFCCOEGSeJEhbZ//z5mz/6JkSOvoHHjqIveXnh4dW659xly7Hamf/IiZ8+kX9B2Tp04RlLCTtp17uM1Y9CG9exCRLUwZsxbYnYoQggh3CBJnKjQPvvsIwICAi64G7UwkbUbMGb8vzl+9CCzv/nwgroft29ejdPppG2nXh6L62IF+PtzzeC+bNHxxO07YHY4QgghSiBJnKiwYmNjWLZsCTfeeAsRETU9uu0mzdsyeNRYYrauZe3yX0v9/O2bVlG3QTQ1a9X3aFwXa0TvblQJDODnJavMDkUIIUQJJIkTFdZPP/1AUFAw118/pky232vglbRs142Fc74kaY/7szpPHj9KclIcbTt6TytcrtDgIIb26MzSDZs5cTrV7HCEEEIUQ5I4USGdOnWSZcsWM2zYCEJCQstkHxaLhdE3P0y16jX58cu3OHsmw63nxf69HoDWHXqUSVwXa/TAXmTbc/h1xZ9mhyKEEKIYksSJCmnevF/Jysoq8+uRBgWHcM2tj3LqRArzZ01x6zk7/15HZJ2GRNSqV6axXaiGdWrRra3ilz/WkpVtNzscIYQQRZAkTlQ4DoeDX36ZRfv2HYiOblrm+2vUpCV9h17D5nVLidm6ttiyGemn2Ru3g1btu5V5XBfj6kF9OHE6jT/+2orNiluXBAsg0+ywhRCiUpHLbokKZ+PG9SQn7+fOO+8pt332H349u2M28ct3H9OwSUvCqlYvtNyuHX/hcDho1a57ucV2ITq3ak6jurWYtWQV14y5hbQ9O0t8TmizjuAfWA7RCSGEAGmJExXQnDmzCA+vXurLa10Mm82Pa259lKzMs/w287Miy+3cto6q1SKo27DsWwgvhsViYfSAXuxOSmbrjhizwxFCCFEIU5I4pVSgUmqHUuryYso0UEr9ppRKU0rFK6VuLs8YhW9KTU1l7dpVDBs2goCAgHLdd2TtBgy47EZitq5lx5aC3ar27Gzi9VZatO2M1er9358G9+hMWHAQ388u/RIqQgghyl65f5IopYKAH4DWJRT9GcgEugGTgKlKqZ5lHJ7wcWvXrsJutzNgwCBT9t9z4JXUbRDNbzM/JTX19HmP7U3YSVbmWVq07mJKbKUVFBjAkEs7s3z1Wk6cTjM7HCGEEPmUaxKnlOoEbAAal1CuL9ABuFNrHaO1ngx8Azxa9lEKX7Z8+RIiI2vRsmVJ3xHKhs1mY/TND5KRnsrUTz8477HdMX9hs/kR3aKdKbFdiJF9umO321mwZoPZoQghhMinvFviBgJzgEtLKNcT2K61PpHnvhWA962OKrxGRkY669f/Sb9+A03trqxTvwm9Bl3F0kXzSIz/ZzzZrpi/iGrWhoDAKqbFVlqN69amU/u2/LZyHQ6Hw+xwhBBC5FGun3Ra6ze01v/VWp8poWh9IP/FGw8B9ZRS3nG1cOF11q5dQ1ZWFv36ld+EhqL0G3otkbVq89vMT8nJyeFEymGOHU6meevOZodWalePvIyDx46zKTbO7FCEEELk4a2jq4OhwKJTubdlDQNRqD/+WEKNGhG0bdve7FAICKzC+Hsf4fCBvaxb8Ru7YzYB0KJNJ5MjK70BvXtSLTREruAghBBexlvXiTsD1M53XyDg0FqfLc2GIiLK5pJLZoiMDDM7BK9QWD2cOXOGdevWcuWVV1KnTnipt+k8nkFYaMndnP7+fm6VA+jcegCt2nVh2fzviGraiho16xDVJBqLpWBjsp+/HwGhJX8/8fe3EeYqF1ZM+bzl3N1eUQJDqjCqX3e+nb+cs9lniaxerdByQcEBVAsv33NUXhMGqQepg1xSD5WrDrw1idsP5L+wZF0KdrGWKCUlDYfD6ZGgzBQZGcbRo3JB8qLqYcWKZZw5c4bu3ftcUD1lZNpJTSv5+0F2tnvlAOz2HIZddQfvv/Iwu3dupWOPgaSlF35VA3u2lcy0kq94YM3OITUtk7DQQFKLKZ9bzt3tlVRmSI8ufP3bUn5cuJpbRhY+89eZkUVWdvmdo/KaMEg9SB3kknrw7TqwWi2lbnjy1u7UtUBbpVTer/x9gDUmxSO83Lp1fxISEkKHDh3NDuU8NSLr0qFrfxyOHELDSt9C6C3q16pJp1bN+W3lOnJkgoMQQngFr0nilFKRSqncFHQlsBP4WinVVil1NzAGeMe0AIXXcjqdbNjwJx07dsbPz/sal6tVrwnA35tWYrdnmxzNhbu8T3eOnjjJxh3a7FCEEELgRUkcxvpxEwC01g5gNFDFdf+TwO1a6+KvLi4qpeTk/Rw6dJCuXfP3wHuHvQk7Ca9Ri+NHD7F2ue9e/eDSDq2pFhrCgjUbzQ5FCCEEJo6J01pb8t2Oync7ERhSjiEJH7Vx4zoAunTpdt79dgdkZtvd2kZZDZvMzs4iKWEnXXoO5WTKYf74/Qcu6dqPsGo1ymaHZcjfz49B3Toyd8VaTqWlUy00xOyQhBCiUvO+vichSmnDhvXUqVOXBg0annd/ZradDTsPu7WNDi0iyyI09ifuwp6dRXSL9kTWacAHrzzMkt++4aqbHiyT/ZW1YT27MGvpKpau38LogbL2thBCmMmbulOFKDW73c6mTRvo2rV7oUt3mC1h1zYsFitRzVoTEVmX7n1HsHndUg7u32N2aBekacN6NG9Un9/lMlxCCGE6SeKET4uNjSE9Pb1AV6q3SNj1N/UbNaNKkNH12G/Y9QQFh/L7z1NxOn1z6ZthPbsQv+8Au5OSzQ5FCCEqNUnihE/buHE9FouFTp26mB1KARkZGSTv3U3HDh1QNZ2omk4uaRTMjdfdyJ7d20lLWn/ufj+L7yzbMbBbR/z9bDLBQQghTCZj4oRP27BhHUq1olo171uDLWb7VhyOHDq0bUNKzD/djx3rVqd2RARffjGZhgEO/Gw2ovr2NDHS0qkaEkzPDm1Ysn4zd18zkgB/eRsRQggzSEuc8Flnz54lJmY7nTt3NTuUQm3bshE/P39UC3Xe/TabjWuGDOTI8ROs+GuTSdFdnOG9upKansGf22LMDkUIISotSeKEz9q5cwc5OTm0b3+J2aEUatvWTTRsoggIKHht0jZNm9KySRTzVqwi/cyZ8g/uInVq1ZzI6tVkgoMQQphIkjjhs7Zt24LFYqFt23Zmh1JAetpp9sTvpkmL9oU+brFYuHbIYM5kZjJv5apyju7i2axWhvTozMYduzh24pTZ4QghRKUkSZzwWdu3byMqKpqwsKpmh1LA3vgdAEQ3LzrBrFcrkl4dL+GPjZvYl3ygvELzmGE9u+BwOln4519mhyKEEJWSJHHCJ+Xk5LB9+zbat+9gdiiF2hu/k4CAAOo1bFpsuZF9e+Nns/HJtK/LKTLPqV+rJu2aNWHBmo0+u1yKEEL4MknihE9KTEwgPT2ddu3MS+Ka1PQ/t0RI/p+j+2JppRRt6voRHmwrchvVQkMZ1L0bi/9YiU7cV47Re8bwXl1JPnKMHfF7zQ5FCCEqHUnihE/atm0rAG3bFj7mrDwEkEVKzIYCPwe2rCZhTzwt6kaQErMBGznFbmfwpd0Jr1aVz2fN97kWrb6d2lElMEAmOAghhAkkiRM+6e+/t1KzZiR169YzO5QCEg8cxOFw0Cq6sVvlgwIDueOmG9is49gYs6uMo/OsoCqB9OvUnhV/beNsZqbZ4QghRKUiSZzwSX//vZV27dp75fVS4/ftwwK0bNLI7eeMHnkZdWrW4PNZ83A4fOfqDQCDe3Qi42wmK1evMTsUIYSoVCSJEz4lNSOLxH3JHD58CNWqHemZ9iJ/HCb1TMbv20/dWpGEBge5/ZyAAH/uuHIY8fsPsmzDljKMzvM6tIgmsno48xcvNjsUIYSoVOR6OcKnnDlrZ+7ClcaN4AZs2Hm4yLIdWkSWU1T/cDgc7NmfTNd2bUr93P5dOvDDwj/4Ys4C+nRq7zOXs7JarQzq3pGZC//g+PEUatSIMDskIYSoFKQlTvicfYm78A8IpHb9KLNDKSD5yFHOZmXRrGHDUj/XarVy19UjOJRygrl/rC2D6MrOkO6dyHE4WL7wFwKyTxX/g4ydE0IIT/CNr/pC5JGcFEfdBtHYbEUv3WGW+H3GMiFNGza4oOd3bt2CTq2aM2PeEob16kJokPtdsmZqXK82LZs35bdff+HyDk2KLRvarCP4F7wUmRBCiNKRljjhU+x2O4f2J1C/UTOzQylU/L79hIeFUaNatQvexvjRl3E6PYOfFq/0YGRlb8TggexOSibxwCGzQxFCiEpBkjjhU/Ym7iE7O8srkzin00n8vv00u8BWuFwtGjegd8e2/LR4JafS0j0UXdkbNqAfVquVRX9uMjsUIYSoFCSJEz4ldqdxTdJ6jYq/nJUZjp86zcnUVJo2Kv14uPzGXTGUM5lZfPf7Mg9EVj5qVA+nS+sWLF2/2eeWSRFCCF8kSZzwKbE7Y6gSFEyNmnXNDqWAix0Pl1dUvToM6taROcvXcOzkqYveXnkZ0qMTR0+cYuuuBLNDEUKICk+SOOFTdGwM9Ro2w2r1vlM3ft9+qgQGUi/SM0ub3DpqCDk5Dr6Zt9Qj2ysPPTu0IbhKFRZLl6oQQpQ57/skFKIIWVlZxMfv9squVDCSuOgG9T2WYNaLjOCy3l2Zt2o9B48d98g2y1pggD99O7djxaZtnM3KMjscIYSo0CSJEz4jLm43drud+o2amx1KAWcyMzl49CjR9et7dLs3jxiExWJh+q+LPLrdsjSkRyfOZGaxessOs0MRQogKTZI44TO03gnglTNT9x44iBNo0sCzSVxk9XCu7H8pi//cxN6DRV+dwpu0a9aEWjXCpUtVCCHKmCRxwmfExsYQHl6datVrmh1KAXuSkwFoXM/zEy5uHD6AwAB/vpzrG61xVquVwd078VfMLlJOnTY7HCGEqLAkiRM+IzY2hpatWmOxWMwOpYA9yQeoUzOC4CpVPL7t8LBQrh7UhxV/bUPHxXt8+2VhcI9OOJxOlq3fYnYoQghRYUkSJ3zCmTNn2Ls3EdWytdmhFOB0OklMPkBUvXplto/rhvQlLDiIj7+YXmb78KRGdWqhohqyaJ10qQohRFmRJE74hISEOBwOBy1US7NDKSDl5EnSMjJo4uFJDXmFBgdx/bD+rF6/ke1xiWW2H08a3L0T8fsOkJB80OxQhBCiQpIkTviEuLhdADRrrkyOpKA9yQcAiKpfdi1xAFcN6EWN6uFMnfM7TqezTPflCQO6dsBmtcoEByGEKCOSxAmfsHv3LkJDw6hdu47ZoRSwJ/kAAf7+1KvlmUV+ixIUGMAdN93Atl0JrN+uy3RfnhAeFkq3tool6zeTI5fhEkIIj5MkTviEuLjdNG/ewisnNSQeOECjunWwlcNVJEaPGE6tGuFMnjnPJ1rjBvfoTMrJ02zRvjEhQwghfIkkccLr5eTkkJAQR9Om3rfIb7bdzv5Dhz0wHs5Clj2nxB8/fz9uHjGIHfF7Wbc91iPHUJYubd9KLsMlhBBlxM/dgkqp2lrri1ptVCnlD7wNjAGcwOfA01rrAn0tSqn6wAfAACANmA78T2ttv5gYhO9JTt7P2bNnad68hdmhFLD/8GHsOTk0ucjxcA6Hg8SDJa+pFlA/mwHdOvL9guV8+ctCurdt6ZWtk7kC/P3p17kdyzZu5eGbRhMUGGB2SEIIUWGUpiVuv1JqtlLqcqXUhbbgvQoMAUZgJHK3AU8WUfYHjCSzBzAOuB146gL3K3zY7t2uSQ3NvC+JK69JDXn52WzcMXoou5OSWbM1ptz2e6EG9+jE2cws1mzZbnYoQghRoZQmGRsBpGMkV/uVUq8opdzu31JKVQHuA57QWq/TWi8C/g08mj8pVEpVB3oCL2utY7XWi4EZwOBSxCsqiLi4Xfj5+REV1cTsUApI3J9M9apVCQ8LK9f9Xta7K/UiI/hq7kIcXj5p4NxluNZtNjsUIYSoUNxO4rTWi7TWNwN1gRcxujl3KqWWK6XGKqWCStjEJUAwsDLPfSuA2kDTfGXPYCSMtymlAl1dq8OBDe7GKyqOuLhdREU1wd/f3+xQCthz4GC5tsLl8rPZGHv5YOL3H/T6C83nvQzX8VOpZocjhBAVRqm7RbXWp7TWH2N0i/4b6Ap8CRxQSr1WTDJXH0jXWp/Kc98h1+8G+fZxFrgHuAkjmdsPHAT+W9p4he/bvXuXV3alnjp1kpSTJy96PFypWSykZmTRu2M7GtSOZNrchZzNyj5vAoTD6cThRZNXcy/DtXSDtMYJIYSnuD2xAUApZcHo0rwNuArIBKYAU4FGwOtAK+DKQp4e7CqfV+7twELKtwb+AF7GaK370LX9R0sTc0REaGmKe7XIyPLtsvMGx44d4/jxFC65pB2RkWEcOZ5BWKh71yf19/fzeNm85RJ3JQDQIqoRVQILthLabFaqBPpjs1kKfTwvi9VaYhljmxacQNIho0VrRN8+fDpzFr+u3ES3dm3OlQvKtGO1WQgLLn4igb+/jbDQwl5+pStTUrk2zRrSKrohyzZs4f7HA6gW7plzuTK+Jgoj9SB1kEvqoXLVQWlmp74G3ALUw+gGvQf4UWudm4htUUoFY8w4LcwZCiZrubcz8u1rAPAIUD+35U4pZQd+UUq9WppZsikpaTi8qUniAkVGhnH0aOXrilq/3mi5qVOnkXH8NhupaWfdem52tt3jZfOW27lzJ1aLhToRNTmbmV2gbE6Og7OZ2eTkOAt9PC+nw1FiGWObTnJyjDFwZzOzad+8OXVr1mT20uW0bdYMq2utupwcJ1lZdlJLOPet2TmkpuX/blX6Mu6UG9i1Ix9+/wvbY3bRoHlJoy9KVllfE/lJPUgd5JJ68O06sFotpW54Kk136m0YkwuU1rq/1npGngQuVyzweBHP3w+EKKXyRljX9Ts5X9muwL58Xa8bARvQuBQxCx937nJbzbxvjbj4hDjq165FgIlj9axWKyP79ubQsRT+itlpWhzu6N/lEqxWK/MXLTY7FCGEqBBKk8SNBZ7RWu/Oe6dr4sG1AFrrLVrrT4t4/laMFrfeee7rAxzWusBy7slAU6VUSJ77cvuKEkoRs/BxcXG7qVWrNlWrVjM7lPM4nU7iE+JpXLduyYXL2CWtWlKvViS/rVjl1Ze3ql41lC6tW7BgyVKvn1ErhBC+oDRJ3AIgvJD7m2AsxFssrfUZjPFz7yuleiqlBgGvYSz+i1KqhlIq95N6LnAY+Eop1Vop1Qf4CJimtT5WipiFj0tIiCc6upnZYRRw4tgh0tPTaOQFSZzVYuHyvn04cvw4G7Z790zVIT06ceToUbZskSs4CCHExSp2TJxS6iHgP66bFuBvpVT+r9BVgV1u7u9JoArwO3AWI6mb5HpsFpAIjNNan1ZKDcRI8FZjXLFhJvC0m/sRFYDdbicpKZEePXqaHUoByUlxADSuZ34SB9BBtaBhndrMX7mKrm3blPwEk/Ts0Ibg4GAWLpxPp05dzA5HCCF8WkkTGz4HqmO02D2L0eKWludxJ5CKkWCVyLV0yN2un/yP9c93ezdwuTvbFRXTvn17sdvtXtkSl5wUh79/APUia5odCgAWi4WRffvwyQ8/sn7bdlp16252SIUKDPBnYN8+LF2+lEcf/RdVqrg3e1gIIURBxSZxri7QFwCUUk7gda11RnHPEcJTEhKMoZLR0dEmR1JQclIcUY2jsNlsZodyTrvmzWhUtw7zVq7i5nG3mR1OkS4bPJhff1/A6tUrGDRoqNnhCCGEzyp2TJxSqoVrbTiAb4EGrvsK/JR9qKKySUiIx2az0ahRlNmhnMfhyOHgvgSaNvWuFkKLxcLl/fqQcuoUC5YuMzucInXs0J7IyNdqVtUAACAASURBVFosWDDf7FCEEMKnlTSxYScQ6fo71nU7/0/u/UJ4VEJCPA0aNCIgoPgFa8vbscMHyMo6S3ST/FeLM1+bpk2Jql+PGTNnkp1tNzucQlmtVoYMGc6GDX9y/HiK2eEIIYTPKimJGwgcd/09wHU7/0/u/UJ4VEJCHNHR3pcoJScZq+w0bep9a9dZcmeqHj3GwrUbzQ6nSMOGXUZOTg5Ll8qacUIIcaFKGhP3R2F/51JK1ZQlP0RZyMjI4ODBA4wYMcrsUApIToojILAK9erW5cSpg2aHU0Cr6Ca0adWS7xYsY2SfbqYuRlyUJk2a0ry5YuHCeVx77Q1mhyOEED7J7XXilFJVlVIfK6XaKqUsSqlfgMNKqZ1KqSZlGKOohBITjTWdvbEl7kBSPPUaNsVq9Z5JDXlZLBbGjRlDysnT/LZyvdnhFGnYsMuIjd3J3r2JZocihBA+qTSL/b4JXOb6+xpgOHAXsAd4w8NxiUouIcFYh83blhfJzs7mUPIe6jfyrrjyu6RdW9o1b8K385eSmVXyNVnNMGjQUKxWKwsXzjM7FCGE8EmlSeJGATdrrbdjrN+2RGs9FXgKGRMnPCwhIYEqVapQt249s0M5T1JiAnZ7NvW8PImzWCzcMnIwx0+n8uuKP80Op1ARETXp2rU7Cxf+LpfhEkKIC1CaJK4asNf19xAgd0RyBsaF6YXwmISEOKKiorFaS3OKlr243bEAXt8SB9CueTQdWzbj29+XcSYzy+xwCjV06GUcPnyIbdu2mB2KEEL4nNJ8Qu4GLlNKjQDqYlxLFeAOQHs6MFG57dmT4JXj4XbviiUoOJTqEbXNDsUtt40aysnUNOb+sdbsUArVu3c/goKCWLBAulSFEKK0SpPETQQ+wbg4/SKt9Xal1JsY10N9sSyCE5XTiRPHOXHiuFcmcXG7dlKvUTMsFkvJhb1A22ZRdG7dgu8XLOfM2UyzwykgKCiIvn0HsHz5EjIzvS8+IYTwZm4ncVrrGUAH4GrgCtfdc4CuWutfyiA2UUnt2WPMTI2K8q7LbWVnZbI30fsnNeR326ghnEpLZ/byNWaHUqhhw0aQnp7OmjUrzQ5FCCF8SrHrxOXnmtSwPc/tFR6PSFR6iYl7AGjSxLuSuIPJe3A4cnwuiWsd3ZhubVvyw8I/uKLf/7N33+FRVekDx79TU0hIJySBEOqF0Jt0BJEmTUTFrit2d3VdXdff7rp9dXXtura1u3akKV1QkSoIKCVcQkhvhEAaadN+f0yIIQkpMHPvJLyf57lPMndO7vvOzSR5c+4954yhQ4BvLTo/dOhwIiOjWLt2NZMnX6p3OkII0Wa0uIhTFCUAeBAYB1iBM64nqaoqI1SFR6SlpdKhQwciI6Oab6yhnIwUoG0Maqjv5jlTuffxF1m6cQs3zJqidzpnMJlMTJ06nU8//YiiopOEhobpnZIQQrQJrbkn7mXgUcAFHAPy621CeER6eioJCT187r6z7IwjhIVH0DE0Qu9UWk1J6MqYwYks/moTZeUVeqfTwLRpl+FwONiwYb3eqQghRJvRmsup04HbVFV931vJCAHunrixY8frnUYD2RnJ9OrdV+80ztlNs6dy9z+fZ8mGzdw0Z6re6ZyhZ89e9OrVm3XrVrNgwdV6pyOEEG1Ca3riOgC+eWe0aDeKioo4efIECQm+tZJbZUU5hcdy6N2nn96pnLPe8XGMHzqAxV99R8mpcr3TaWDatMtISjpQe0+kEEKIprWmiFvFz6NShfCK02um6jkytXukBSXSdcZmLk3B5XIxWEmo3Rca2PbmuL5pzlQqqqpYvN73xiRNmzYDk8nEmjUr9U5FCCHahNZcTt0L/FNRlEuBQ8AZkzqpqvp7TyYmLkzp6e5eGD174qxUU3hw5xn79m1zL10VZ6qofS5ixEjNcztfPeJimDRiEEs2buaKKeMJ0TuhOsLDIxg1aizr1q3m9tvvxmRqe0WyEEJoqTU9cXfhHsCQiHuuuGvrbNd4PjVxobA74VSVnVNVdpJTUggICKRDSETtvrpblc2hS47puXlEhITQMaiDLvE96abZU6mutvHJ2m/0TqWBmTNnc/x4ATt37tA7FSGE8Hkt7olTVdW3blIS7UaVzc7OJPcA5/0HDxPeKY5dh4412nZE/xgtU6uVnpNLfKw+sT2ta+dOTBk1jOXfbOUXtxZi1TuhOsaOHU9ISAirV3/J6NFj9U5HCCF8WqtXF1cUZYKiKHcqihKsKEqioihyzUN4zLG8TDp17qp3GmcoKy+nsKiIbjFtrIgzGKi2OxrdrpkxGYfDydsff0a13YHTpXeybhaLhUsvncHmzd9SUlKsdzpCCOHTWlzEKYoSpCjKZuBb3HPGRQH/AvYoitI2VgMXPq38VCllJSeJ6txF71TOkJGbB0C3NtYTZ3c4ScstaXSrslsYPXgQy1auYfehTOwO7S5Tm4xgtRWfdZs3bRI2m03mjBNCiGa0pifuH4Af7nviTs9P8H81H5/wZFLiwlSQnwVAlI/1xKXn5AIQ37l9/a8yc7z7cuXqzRrPHGSvouzInrNusZTSu2cPVq/+Qtu8hBCijWlNETcX+I2qqodO71BV9QBwNzDD04mJC09BXiaAz11OTc/NJToinAB/31pz9HyFh4Rw2bSpbPvxJ3ILCvVO5wyzpk/n0KEkjh5N0TsVIYTwWa0p4mKArEb2Hwc6eiYdcSEryMvCYvUjJMy31kxNz80lvq3dD9dC1125AJPRyIerN+idyhmmT7lE5owTQohmtKaI2wdc1sj+m4H9nklHXMiO5WUSFd0Fo7HV4228pqi0lOLSsjZ3P1xLRYSHM3HEML7+fi8ZeY2PCNZDWGgoY8eOZ926Vdjtdr3TEUIIn9Sav5Z/BZ5WFOV13FOT3KEoynLgd8Bj3khOXFgKcjN97n642kEN7bQnDmDamDFYLRbe+8K3BhLMnDmHEydO8P332/RORQghfFKLizhVVVcC84C+gAO4D+gMLFBVdZl30hMXisqKU5QUF/rcyNT0nByMBgNd29mghrqCOwQyb/JYvtn1I0ezcvVOp9bo0WMJCwtn1aov9U5FCCF8UouKOEVRjIqijAN6AquB3wKTVVUdJQWc8ISCPPftlj43qCEnl5ioKKwWi96peNUVUyYQ6O/Pu1+s0zuVWmazmalTZ7B163cUFRXpnY4QQvicZos4RVEuAVRgE/AS8E/gP8BWRVGSFEUZ790UxYXg9MhUX7qc6nK5SM/NIz6ms96peF1wh0CumjqBLXsPcDi9sfFL+pg5cxZ2u50NG9bqnYoQQvicJos4RVFGA6uAFNzTiEQDVtwT/V4GHAXWK4oyyMt5inbuWH4WZouVsIhOeqdSq7ComFMVFe12UEN9V0yZQHCHQN5Z4TsFU8+evenTp69cUhVCiEY0t3bqn4BlqqrWX+C+EFgLrFUU5XPgQdyjVIU4JwV5mUR2isNo9J1V3NJz3feHJVwgRVyHAH8WTruYN5au5kBKGv17JuidEgAzZ87m+eef4siRw/Tq1UfvdIQQwmc0dzl1FPBsM22eBia0JJiiKBZFUV5SFKVQUZTjiqL8S1GURnOoWebrv4qinFQUpUBRlBcVRfGltbqFBx3L9b01U9NzcjGbTMR28p3eQW+bN3kcocFBvLPcd+6Nu/TSaVgsFlavlt44IYSoq7kiriOQ3UybDNwTAbfE48BU3Jdir8Xde/fwWdq+C4yuab8AmA/8voVxRBtSXn6K4pMFPjgyNZcu0Z0wm3ynd9DbAvysXDNjEnvUI+xVj+idDgAhIaGMGzeBdevWYLPZ9E5HCCF8RnNFnAmobqaNDfd9ck1SFMUf9xJdD6qqukNV1fXAI8Cv6/fGKYrSD7gCuFZV1V2qqm4C/o67qBPtTGZmOuBbgxqcTicZeXkXzP1wGAxU2x1U2x1MH3sRESEdeWvZWqpsdpwuV+1z1XYHTpf26c2cOZvi4iK2bdusfXAhhPBRLZlixFO/socAgcB3dfZtwj1Yome9tlOAw6qq1q4Eoarqa6qqyhqt7VBGehoAnWJ8p4jLLzxBVXV1u57kty67w0labglpuSXkFlZw6ZjRHDyazqrNeyktt9U+l5Zbgt3h0Dy/kSNHExXViS++WK55bCGE8FXNDWwAeE1RlMomnm/pquBxwClVVYvr7Mur+dgFSK6zvxeQqijK3cCvcff0fQI8qqqqXE9pZzLSUzGZzIRF+M5UHqcHNcRfKD1x9YwbOoSvtn/P8q+/Zd7VV+udDmazmcsum8N7771Ffn4e0dG+814RQgi9NNcTtwkIw33P29m2sJp2zQkEqurtO/3Yr97+INyXTq/Efd/cfcCNwL9aEEe0MRnpqURGx2HyoXvP0nNy8bNY6BwRoXcqujCbTMy+eAJZ+fl8u2Wr3ukAMGvWXABWrlyhcyZCCOEbmuyJU1V1kgdjVdCwWDv9uLzefjvQAbhKVdUTAIqihAGvKoryW1VVnS0NGhERdI7p+p6oqGC9U/CKzMx0Yrv0JDioZZ26LW1nsZjPqa3VaiMzL49ucTEEBpz5ljWZjPj7WWo+N9R+3pjTbZtrB2AwGpttczqmyeT+36vp2IYzcm2qnTvHhm0nDBvMhu07ePvDD/nLnYtqB3hYrWaCAxveBmuxmAgOqv8j3lBL2gUEWgkJPfP9HhUVzLhx41i7diUPPfTr2n1CzgPIOThNzsOFdQ5acjnVU7KADoqiBKmqWlaz7/S1qvojYHOAvNMFXI0kIAD3RMP5LQ1aWFiGU487sT0sKiqYgoJSvdPwuIqKCvJyc+g7eAKlZU1dtf9ZS9vZbPZzalturiYjN4+LRw6nsurMq/cOh7N2n8PhavB8Y22bawfgcjqbbXM6psPh/h+m6diuM3Jtqp07x8bbzpk0kVc+WczXO35gwvChAFRX2ylt5GfKaHNQWla/s72hlrRzlVdTbWv4fp82bTZ/+tMjrFy5nrlzZ7TLn4nWaq+/G1pDzoGbnIe2fQ6MRkOrO55atHaqh/yIu8et7jJdE4B8VVVT6rXdCsQoilL3hqR+QAlw3KtZCk1lZKTjcrl8ao64jMwM7A7HBTOooSkDevWif7++rPpuM9U+ML3HuHETCAsL58svZclmIYTQrIhTVbUCeBN4UVGUsYqiTMF9j9uzAIqihCuKElLTfCOwG/ifoigDa9Zv/Sfwqqqq2g+NE16Tnp4K+NbI1JSj7vnRLpSVGppiMBi47cYbKS4r45udu/ROB4vFwowZs9i6dTPHjh3TOx0hhNCVlj1x4J7Y92tgDfAR8A7wZM1zS4DnAWrueZuNu9dtG+6RqR8Cf9A2XeFtaWmpmEwmwqN8p2BKSTlChwB/IkJD9U7FJwxM7Ef/Xj1Zu3U75RUVmsQ0GcFqK250mz/jEhwOB4s/fB9rg7FSQghx4dDynjhUVa0E7qjZ6j83qd7jY8BCbTITeklNPUpcl3hMJk3fik1KOXqE+JgYDAaD3qn4jHmTL+ax/77Fum07SOwx1/sB7VWUHT3Y6FPhwOA+Pfh8yVKuvfIq8Gt+MIUQQrRHWvfECXGGtLRU4uMT9E6jVnV1FVlZmXI/XD1doqMZ2T+Rr7/fyYniEr3T4bIJo8gpKGTXnr16pyKEELqRIk7opqqqktzcbLoldNc7lVp5Wak4nc4LZ7mtVph98UQcTicfrd6odypMGDqAjkGBLF+1Su9UhBBCN1LECd1kZmbgdDqJ7+Y7RVx2hnvhECniGooKD2P80CGs2bKT7GP6DhK3WizMHD+SbzdvoajopK65CCGEXqSIE7pJTT0K4FOXU7MzjhAWFk5o8IUzWWRrzBw/DrPZxDsr1umdCpdPHoPdbmfNGumNE0JcmKSIE7o5PTI1Ns53phfJzjhCzx699E7DZ4UEBzFv0ji+3rmXI5k5uubSo0sMA/snsmLFEpzOFi/iIoQQ7YYUcUI3aWmpxMV1wWptuISTHirKT1F4LIcePXrqnYpPu3LqRIIDA3hz6Wq9U+GKOXPIyspk927957ATQgitSREndJOenkpCQg+906iVk+leOER64poWFBjANTMms/OAyu6kZF1zueTiiYSEhLJ06We65iGEEHqQIk7oorq6muzsLBJ8aGRqToZ7pQYp4po3/5JxREeE8drnK3W9lOlntTJ79jy2bPmO/PwWL6kshBDtghRxQheZmRk4HA6fKuKyM44QFhFNsAxqaJbVYmHR5TNIyczhqx17dM1l7tz5uFwuvvhiqa55CCGE1qSIE7pIS3OvmeprRVxct956p9FmTBoxGCWhK28vX0NldbVuecTExDJmzDi+/HIZNptNtzyEEEJrUsQJXaSnp2I0GunatZveqQBQVHSS4pMFxMXLpdSWMhqN3LlgFgUni1ny1WZdc5k//ypOnDjBpk1f65qHEEJoSYo4oYu0tKPExsbh5yPrXh5RkwCkiGulQX16MG5Ifz5as5HCk/pNujty5Cji4rrIAAchxAVFijihi9TUVJ+6lHr4cBIGg5GYrr4zWratuG3+TKpsdv77/ke65WA0Gpk3bwE//fQjKSn6jpgVQgitSBEnNGez2cjKyvCp6UXUpAN0ionHzy9A71TanK6dOzFn4miWrVxDRt4x3fKYOXMWVqsfy5Z93uA5K1VYbcVNb1TpkLUQQpw7KeKE5rKzM31qZKrT6ST58EG6JvTRO5U268bZl+Lv78d/l+i3BFZISChTpkxl3brVlJWVnfmkrZKyI3ua3LBV6pO4EEKcIynihOZ+HpnqGz1xhQU5nCoro4uMTD1nocFB3HLt1Wz78SB71RTd8pg//0oqKipYu1bWUxVCtH9SxAnNpaWlYjAYiI/3jZGpWWmHAegiPXHn5Zr5c4kKC+X1xV/qNgFw376J9O2byLJln+NyuXTJQQghtCJFnNBcaupRYmJi8ff31zsVwF3EBQZ2IDK6i96ptGn+fn4sunwGhzOy+XrnXt3ymD//StLTU9m9e6duOQghhBakiBOaS0vzrZGpWenJ9OrTF6NRfhzO1yUXDaF3fBxvLltDVbU+E+9ecslUwsLC+fRT/UbLCiGEFuSvltCU3W4nMzOdbt18o4irrq4iPycNpW9/vVNpF4xGI3deOYtjJ4pYslGfCYD9/PyYN+8Ktm3bQkZGui45CCGEFqSIE5rKycnGbrfTvbtvDGrIyUzB6XTSp2+i3qm0G0OUXowd3J8PV22gsLhElxwuv3wBFouFxYs/1iW+EEJoQYo4oanU1KOAfmumdo+0oES6areqYyoAI/om1O4LDTTpklt7ctdVs7E7HLy5dLUu8cPDI5g6dQZr1qykpKRYlxyEEMLbpIgTmkpLcxdx8fEJusS3Uk3hwZ2128E9O4gIDcVUcLR2nwmHLrm1J7FRESy4dCLrtv1AUmqGLjlcddW1VFZWsmLFMl3iCyGEt0kRJzSVnp5K584xBAYG6p0KAKnZOXSPi9U7jXbpupmTiQgJ5j+frNBlypGePXsxfPhIli79DLvdrnl8IYTwNinihKbS0lJ9ZlBDUUkpRaWlJEgR5xWB/v4smn8Zh1Iz+GrHHl1yuPrq6ygoOMaGbzfpEl8IIbxJijihGYfDQUZGus8MakjNyQGQnjgvunTUUPomdOXNpasor9R+WatRo8YQH9+Njz+XyX+FEO2PFHFCMzk52VRXV/vMHHGp2dmYTSa6REfrnUq7ZTQaufeaeRQWl/LR6q91iX/VVdeQpB5mf0qa5vGFEMKbpIgTmjm9Zmq3bgn6JlIjLTuHLp2jsZjNeqfSrvXrHs/U0cNZ/NUmcgoKNY8/ffosOgYH8/lX32keWwghvEmKOKGZ1FT3wui+cDnV4XSSkZtHQqxcStXCovkzMJtMvPLpCs1j+/v7M3/2LLbuPaBLESmEEN4iRZzQzNGjKTUjUzvonQpZeflU22z06BKndyoXhMjQEG6YdSnbfkpi07YdmsdfMG8eBoOBZRu3aB5bCCG8RYo4oZmjR4/Qo0cvvdMAICUrC4CeXWXRe60suHQC3WKiefrl1zVfV7VTVCSTLxrCqi3fU1x2StPYQgjhLVLECU1UV1eTmZlBz5499U4FgKOZWYR37EhYx456p3LBMJtM/Oray8nJy+ejNRs1j79w2iQqq6pZ8c1WzWMLIYQ3SBEnNJGZmY7D4aB7d/2LOJfLRUpWFj2kF05zQ5SezJgyiU/WfkNWfoGmsbvHdWbMoH4s3biFiqpqTWMLIYQ3SBEnNJGS4h7U4AuXU08UF1NcWiaXUnVy/x2LsJgtvPTxcs3nbls4fTIlp8pZs2WnpnGFEMIbNC3iFEWxKIrykqIohYqiHFcU5V+KojSbg6Io7ymK8o0GKQoPsTvhVJW9djt8JBmz2Ux4p9gz9p+qsuPUeA7WlEz3/XA9ukgRp4fI8DBumTuNXQcP892e/ZrGHtArgQG9Evhs/bfYHbJGrhCibdO6J+5xYCpwGXAtcDPwcFNfoCjKbOBG76cmPKnKZmdnUn7ttnffQcKjYtl75MQZ+3cm5WPXeF3NlMws/K1W4jpFaRpX/GzepDH07BLDK5+uoKKyStPY18yYzLETRXy9c6+mcYUQwtM0K+IURfEH7gYeVFV1h6qq64FHgF+frTdOUZQw4BVA5gVo447lZhAd203vNAD3yNTuXeIwGuVuAr2YTCbuu24+BSeL+d/KDZrGHjWgLwmxnflk7Tc4Nf4HQgghPEnLv2JDgECg7rTpm4Bo4Gx3uz8PLAa2ezc14U2VFeUUnSggOkb/Iu7UqVPkHiugp1xK1V3/ngnMHDeSz77aREpmjmZxDQYD10yfRFpOPtv3JWkWVwghPE3LIi4OOKWqanGdfXk1Hxv8RVUUZQ4wFviDBrkJLzqWmwFAp5h4nTOB5CMqLpCRqT7i9gWz6NghkGf+9zmOc+gVMxnBaitudjNx5v1vk0cOJiYynP+t3KD54AohhPAULReNDATq3/xy+rFf3Z01l1FfBa5XVbVcUZRzDhoREXTOX+troqKC9U6hxVwnygkO8geg+IS7l6Vn7z61++qyWMyN7j+blrZt7Lj7jhzGaDTQt3s3/P0stftNJmPtY5PJcMZzdbW0Xd22zbUDMBiNzbY5HdNkcv/v1XRswxm5NtXOnePZ29bP32o1ExxobdDOYjERHOTXYH9T7YKD/Hjw5gU8+tK7rNm6g2tmTGrdsQx2nHmHm28X16fB8W6dP41//vdj9qccZeyQRAICrYSEtp2fsbra0u8Gb5Fz4Cbn4cI6B1oWcRXUK9bqPC6vt/8FYIWqqt+cb9DCwjKcWg9/9IKoqGAKCkr1TqPFyqvslJZVApCRloLVzx+TNbh2X102m73R/WfT0raNHfdg0kHiOkUDBiqrfl41wOFw1j52OFxnPFdXS9vVbdtcOwCX09lsm9MxHQ53j1XTsV1n5NpUO3eOZ29bP/9qm4PCovo/shARZW+w32wyYTSc2c5oc1Ba9vP/c6MHJHLRAIVXPl3JiH59iY4Ia9CmMcFBftha0K6xmADjhwyiU/gaXlu8mgE9e+Aqr6ba1nZ+xk5ra78bvEHOgZuch7Z9DoxGQ6s7nrS8nJoFdFAUpW6GMTUfs+u1vQG4WVGUMkVRyoD7gAk1j/W/JidaJT8nnU4x8boPJHA47BxJSZb54c6T3eEkLbekwVZabmuwryXTeBgMBu6/7gpwuXjho6WaXd60mM1cO2Myh1Iz2J2UrElMIYTwJC3/qv6Iu8dtfJ19E4B8VVVT6rXtDQzCPRhiCPAesKvmc+3ugBbnzeVykZ+T7hMjU/OyUqmqqpIizgdFR4Rxy7zp7Nh3iG92/ahZ3OljRxIZGsJ7X34l98YJIdoczYo4VVUrgDeBFxVFGasoyhTgX8CzAIqihCuKElLT9kjdDSgCKmoe27XKWZy/kqJCKsrLiInrrncqpB89BCAjU33U/EvG06dbF/7zyQpKSss0iWm1mLlmxiQOpKSxe692xaMQQniC1te3Hga+BtYAHwHvAE/WPLcE95Qioh3Jy04FIDouQd9EgIyjSURFRhHa8cK56bUtMRmN/ObGKyk5Vc7zr7+pWdzLxl9EREgwb7z/vmYxhRDCE7Qc2ICqqpXAHTVb/ecmNfF1D3kxLeFFudlpAHSOTdA1D6fTSdqRA4wYNkzXPETjnC6wOxzEx0SzYMoEPluznpE9uzA8sU+Dto0NljgfVouFq6dN4pXPvuCHH3YyfPhIzx1cCCG8SKasF16Vl5VKeFQMfv4BuuZRkJdJ+akS+icO0DUP0Ti7w1E7GGL88IuI79KFp99bTFLqsXMaLNFacy4eTVRkJG+88arcGyeEaDOkiBNelZeTpnsvHEBqsnuh9UQp4nyexWzm4ft+RXFZGYvXa7Mkl9Vi4dYbrufAgX1s3y6r/Akh2gYp4oTXVFVWcKIgl85d9B/UkHZkP6HhnegU1UnvVEQL9O3Tm6ljRrPtx584cKT+4HXvmDNzBrGxcbzxxquypqoQok2QIk54TV5OGgAxOg9qcDqdpCbvp3tv6YXTnMFAtd1xxuZ0uRrsa+wK5qyJ44mJjOR/K1dRXtnyyaDPldls5he/uJ3k5MN8++1Gr8cTQojzJUWc8Jq8LPfI1M46Ty9yLDeDivIyKeJ00NjEwI1NCuxopIqzmM3cOHcWpWWnWLzuK03yvfTS6SQkdOfNN1/H4YV774QQwpOkiBNek5eTRkBgEB1DI3TNIzV5HwAJvaSIa2sSYmOZOnYM23/ax77kI16PZzKZuPXWO8nISGPdutVejyeEEOdDijjhNXlZqXTu0h2DwYPzQZyDtCMHCIuIJjQ8Stc8xLm5bMI4YqOi+HDlasrKG67Z6mkXXzwZRenLW2+9TlVV8+uyCiGEXqSIE17hcNjJz83QfaWG0/PDde89UNc8xLmzmM3cPG8OZeXlfLBytdenADEYDNx116/Iz89jyZJPvRpLCCHOhxRxwiuys7KwaOWb7gAAIABJREFU26rprPOghvzstJr74frrmoc4P107RzN38iR+VA+zdusur8cbPnwko0aN5f3336a4uMjr8YQQ4lxIESe84mjKYUD/QQ2pR9zzw8n9cG3flNEXoSR047XFX5CVX+D1eHff/SvKy8t57723vB5LCCHOhRRxwiuOHDmM2WwhMjpO1zxSk/cTHhVDSFikrnmI82c0GLhp7mwsZjOPvfkRdrt3R4/26NGTmTNns3TpYnJysr0aSwghzoUUccIrkg8fIjouAbPZolsODoeD9JQDMrVIOxLWsSP3XXcFh9Oz+O8S748eXbToTsxmM6+//rLXYwkhRGtJESc8zul0kpx8iLiuPXXNI/VoMpUV5TKooZ0ZP3QAM8aN5N0VX7H7p/1ejRUZGcXChdezceN6Dh70biwhhGgtKeKEx2VlZVJRXk5sfC9d89i7eycA3XvJoIb25t6r5xLXKYI/P/E0Jae8O+3ItdfeQHh4BM8//7QsxyWE8ClSxAmPO3ToIABxOhdxe3btoHNcd4JDwnXNQ3hegL8ff7/3Jo6fOMm/3/nEq9OOBAZ24O67f0VS0gHWrl3ltThCCNFaUsQJjzt0KAk/f38io7volkNlRTlJB/fRu99Q3XIQ3pXYsxv333Er235K4rP1m7waa+rUGfTvP4DXXnuJsrIyr8YSQoiWkiJOeJyqJtGzZx9MJpNuOaQm78PhcNBLirh2beHlc5gwbCBvLF3N/iNpXotjNBq5776HOHnyJO+++6bX4gghRGtIESc8ym63k5ys0rtPX13zSE7aTUBgIF27K7rmIbzLYDDw4E1XEh0eyj/++wHFZae8Fqtfv0Quu2wOixd/THp6mtfiCCFES0kRJzwqIyOdyspK+uhYxLlcLo4k7WHQkOG6TnEitBEUEMCf7ryB4rIy/vXWx14dfHDHHffg7+/Piy8+4/Xlv4QQojlSxAmPUtUkAF174o4fy6boRAHDho/SLQehrd7xXbj76rnsPKDy8dpvvBYnLCyc239xK99/v50tG77Eais++0aV1/IQQggAs94JiPbl0KEkAgICiesST57q/aWRGpN8cA8AQ4ePIq9ElxSEDuZMHM2+5KO8s3wtSkJXhvfr7ZU4V86dxRfLP+fp558jMdxMUEBAo+2Ceg0Fi59XchBCCJCeOOFhqpqEovTFaNTvrXUkaQ+R0XFEd47RLQehPYPBwG9uuJL4mE78478fkFNQ6JU4ZpOJB25YwImSMt5ettYrMYQQoiWkiBMeY7PZOHLkMIrST/PY3SMtKJEuunesJD3lABcNG0oIZSiRrjO20ED9RswK7wvw9+Nv99wCLhd/evldKiq9c0mzb0JX5l48hhXfbuNQaoZXYgghRHOkiBMek5ysUl1dTf/+2i9zZaWawoM72b52KTZbNT1CO1CSvJvCgzvP2Ex4d9F0ob/YqAj+ePv1ZOTm8+S7n3ptAMIvLp9OeEgwz36wBIdD3ldCCO1JESc8Zv/+nwAYMEC/tUoPphzFYjbTK76rbjkI/Q1P7MPtCy7ju937+GDVRq/ECAoI4N6r55KSmcOSjZu9EkMIIZoiRZzwmP37f6Jz5xgiI6N0y+FgylF6d4vHapGpRS50V146kUtHDeOdFWvZtG2HV2JMGDaQMYP68fbytWTl6zOQRwhx4ZIiTniEy+Vi//59DBgwSLccjp04QX7hCfr37KFbDsJ3GAwGHrhhAX3i4/jTv54iLSevyfYmI01PGVKz1b0kbzAYuP/6K7BaLPz73U9xeHGOOiGEqE+KOOER+fl5HD9eoGsR96OaDMCgPn10y0H4Fj+rhb/cfTMB/gH8/sW3KCxuYs4ZexVlR/Y0u+G0n/FlkaEh3LtwLgdS0lm6QS6rCiG0I0Wc8Iif74fTr4j7ST1Ml+hoIkJDdMtB+J5O4aE8+48/UXKqnD++9LZXRqxeOmoYYwb1463la+SyqhBCM1LEiVaxO+FUlb3BtufHH/H3D6Bzl26cqrLj1HhFouLiIo5mZTGoj3cmeBVtW9/evXj09utJyczhH2984PHRpAaDgV/fsAA/uawqhNCQFHGiVapsdnYm5TfYdv2wm5j4Xuw+XMjOpHzsGv8R273nB1zAYEWKONG4UQP78atrL2fHvkP855MVHp96JCKkI/cunMeBlHQ+XfetR48thBCNkSJOnLeqqgryc9KI767feqk7d+0gvGNHukRH65aD8H1zLh7D1dMuZsW321j81SaPH3/KqKFMHD6Id5av5eAh1ePHF0KIuqSIE+ctO/0ITqeTrt0VXeJXVpTz074fGdy3DwaDQZccRNtx2/yZTBw+iNcWr2Tj93s8emyDwcAD119BeEhH/vTYY5SXl3v0+EIIUZdZy2CKoliAZ4FrARfwBvB7VVUbXHtTFCUReAYYDZQCnwJ/VFW1QruMRUtkpB4CoGuCPkXc4QO7sNlsDOun/XJfou0xGo088ouFFJWW8cTbnxDo78foQYkeO35wh0D+79ZrePCZ13jhhad55JFHPXZsIYSoS+ueuMeBqcBluAu5m4GH6zdSFCUYWA0cw13E3QTMB57ULFPRYmnJ+4mO7UZAYJAu8Q/s3Up4eDjdu8TpEl+0PVaLhb/fcws9u8byt9f/x141xaPHH9SnBzdfdy2rVn3Bxo3rPXpsIYQ4TbMiTlEUf+Bu4EFVVXeoqroeeAT4taIo9fOYCoQAt6uqekhV1a+BR4EbtMpXtIzNVk1G6iF69NFnapGqygqSD+5m1MgxGOVSqmiFDgH+PH7fImIiI3j0P29zQD3s0ePfdtONJCYO4KmnHic7O8ujxxZCCNC2J24IEAh8V2ffJiAa6Fmv7Q7gclVV607o5AKsjRR8QkdZaYex26rp3luf9VLVA7uw222MHjVWl/iibQsJ6sATv76NkOAg7v+/P5Oa3fSqDq1hNpv585//gcFg5NFHf0dVVaXHji2EEKBtERcHnFJVtbjOvtO/MbvUbaiqaraqqt+cfqwoigm4D9jS2P1zQj9HD/+E0WgkoVd/XeLv372Z4JBw+vTR53480fZFhobw5K9vx2Kx8Lvn/kv2seMeO3ZMTCx//ONfOXIkmWef/XeD561UtWipLyuen6BYCNH2aVnEBUKD30SnH/s187UvAoOB33o6KXF+UpP3Edu1F/4BgZrHLj9VSvLB3QwcNh6jUTpoxbmLjYrgpSf+jt3h4DdPv+rRVRfGjBnHzTcvYtWqL/jyy+VnPmmrbNlSXzbpxRNCNKTl6NQKGhZrpx83Og6/pgfuZeBW4EpVVX9sbdCICH1utveGqKhgvVPAdaKc4CB/wH0/WlZ6MpfMuLJ232kWi7nBvrNpTVugtu2+XRtxOOyMmTgVq9WMv5/ljHYmk7GRfYYG++q3PVub1rSr27a5dgAGY8NcGz+mAZPJXbA2HdvQ6OtvrJ07x7O3rZ//2do29jpb+j2o366pc2a1mgkOtAJgsZgIDmruf8CWtYuM68Erf/wVv3z8Pzz4zGu8/IdfkhDbcN7BlsYMCLQSEur+mf3tbx8gOTmJ5577NxddNJT+/d0917aiCgytPFZjfOF3g97kHLjJebiwzoGWRVwW0EFRlCBVVctq9sXUfMyu37hmOpIPgTnAAlVVV5xL0MLCMpxarwHlBVFRwRQUlOqdBuVVdkrL3L0CyQf34HQ4iEvoV7vvNJvN3mDf2bSmLVDbdsfmr4jq3JWO4XFUV9uprLKd0c7hcDayz9VgX/22Z2vTmnZ12zbXDsDlbJhr48d04XC47yhoOrar0dffWDt3jmdvWz//s7Vt7HW29HtQv11T56y62k6p00VwkB82m4PSsuYvNRpb0M5ocxAdHsFTD9zJQ8++xp1/e4GnfnMHCbGdW30sAFd5NdW2n39mH3nkL9x2243cc8+9vPba20RERGK1VVN2Dseqy1d+N+hJzoGbnIe2fQ6MRkOrO560vAb1I+4et/F19k0A8lW10fH9bwKzgDnnWsAJ7zp6+CdMJjNddVip4WThMTKOJjFoxESZ4Fd4VLfYaJ5+8C5MRgMPPv0aR7NyPXLc0NBQHnvsKUpKivnDHx6mqkrucxNCnB/NiriaSXrfBF5UFGWsoihTgH/hnvwXRVHCFUUJqfl8NnAj7jnk9imK0rnOJn+xfcTRw/vo2l3Bam3+cpCn/bjLvTbloOETNY8t2r/4zp14+sG7sJjNPPTMayRneGaKkD59FP74x79y8OB+nnjiHx5fv1UIcWHR+m7wh4GvgTXAR8A7/DyB7xLg+ZrPr675+CKQW2/roFGuognlp0rIy07VZWoRp9PJnu0b6N5nIGERnTSPLy4MXaKjeOahu/D3s/Lg06/xQ1KyR447ceJkbr/9br76ai3vfPihR44phLgwabrslqqqlcAdNVv95ybV+fwm3Ks0CB+VfHA3LpeL3olDNY+dmryfk4X5TJl1neaxxYUlNiqCFx6+l0deeJM/vPgWv/vFQi7vcf5LdN1wwy2kpaXy2lvvEGG4lksu0v7nSAjR9sm8DOKcqPt3EdQxjNiuvTSPvXvbegICg+g3eLTmsYUPMBiotjsoLa/G6XJRbXecdWvNmCYXNHqMjsFBPPnAHfTtHs8/3/iQDz5f1qrjNv4SDDz88B8YOmggT77zKT8c9OxqEUKIC4MUcaLV7HYbyUl76JM4XPP52UpLikn6aQeDRlyMxWLVNLbwDXaHk7TcEjLySiktt5GWW3LWze5wtPi4LpfrrMc5Xmzj9iuvZEhfhedefYPXP//yvO9n8/Pz48m//42unaP4y6vvoaZlntfxhBAXHiniRKulpyRRVVmOMmCE5rHXr12J3W5j+JgpmscWbVBNr11zPXbVdgfNlWQWs5nbrric2TOms3j9Jv7xxoeUllee9Xg2hxN7M+vLBAcF8fh9i+gY1IE/vPSWRycZFkK0f5reEyfaB3X/TsxmCz2VwZrGdTodfLn8c+J79KNzXHdNY4u2ye5wkpVfijXO3WPXlLCezfesGY1G7r/zDsIsLt7/Yh1pOce488oFhHZsOLloRNgpOkYFY/Zr+tdsZGgI/7pvEfc/+TKPPP8GTz90F9HhYc3mIoQQ0hMnWsXlcqHu30n3PoOw+rV8lQVPSE7aQ15uNqMnztI0rhB1GQwGrpo2iTuvWkDe8UKeeOsd0rJzGrQLDbIQ5Cptck1UE+7LvV07d+Lx+xZRWl7Bb595nYKTRVq/LCFEGyRFnGiVjIw0Thbm01eHS6k7Nq0iPCKSfoNHaR5biPoGK3146JYbMZtMPPPe/9ixb/8Zz5ucNkqTdze9JqrTXtteSejKv+6/jaLSMh565nWOFxVr/ZKEEG2MFHGiVb7fvgWAPv21LeIK8rM4krSHy2bPx2SSuwCEb4jr1InfLbqF7nFxvLv8Cz7/agOOVgymqK9f93gev28RJ4pL+O0zr1NY3PQlYCHEhU2KONEq323aSGx8L0LCIjWJ1z3SghLpYt/mpVitVq6ePRUl0tVgCw00aZKPEPUFBQZy3/XXcPGIYWzY/j3PvP8BJ4rPvRetf88EHrtvEQVFxfzmqVfIO37Cg9kKIdoTKeJEi2VkpJN8+BCDhk/QLKaVao5s38B3333DmEEDMBUcpfDgzgbb6XuLhNCDyWRi4YzpLLricnKPFfDYf99i2/c7z/l4A3t158n7b6e4rJxf//sV0jPSz3pfna3o2M+PkfVYhbiQSBEnWmz9+jUYjUYGDhuvadyN3+/E6XIxZZTcCyd82/DEfjxy2y+ICA3h0cce540lq1o1V11diT278cyDd+F0OrnjvgfY9dWKRu+rqzi69+d77GyVHn5FQghfJkWcaBGXy8X69WsYPGQ4wSHhmsUtKSlh8+69DO/Xl8iwUM3iCnGuOoWH89AtNzF35gyWbPiO+598mfTc/HM6Vo8uMTz38D106BDIb595je/3H/JwtkKItkyKONEiBw/uJycnm8lTpmsa94uVy6iurmbGhHGaxhXifFjMZu678w5+v+g6cgsKuesfz/PZ+m9xOJuZ/bcRsVERvPHsk8R2iuSPL73Nsq+3eCFjIURbJEWcaJF169ZgtfoxdtzFmsUsKyli7brVjOifSGxUlGZxhfCU8cMG8safH2RE/z68tnglDz79KjkFha0+TlRkBM89dDejBvXjpY+X8+JHy85rFKwQon2QIk40y263s3HjesaNm0CHDh00i/vdV0uw2WxcNlHbe/CE8KTwkGD+dvfNPHzLQlKz87jjb8+w7Ostre6VC/D34y933cSVl05g+Tdb+cNLb1NcdspLWQsh2gIp4kSzNm/eRHFxEdOnz9QsZmFBLt9/t5qLJ04mOiJCs7hCeIPBYGDamOG88effMKBXd176eDm/+tdLHFSTW3Uck9HIXVfN4YEbFvDj4RTueewFko5meClrIYSvkyJONGvx4o+JiYll1KixmsVct/xdTCYzC6+6VrOYQnhbVFgoj9+3iN8vupbjJ4u55Ve/4YUPl1JWXtGq48yaMIpnf3sPLpeL2//6HF9u2o7L1fzar0KI9kWKONGkw4dVfvppL1dccRUmkzYT6qYm7yfppx1MmHoFYWHajYQVQgsGg4FLLhrKW397iKvnzebLTdu55U//Zv32H3C24hJr34SuvPKH+xme2JvnPljCY29+SElpqRczF0L4GiniRJMWL/6YgIAALrtsribx7HYbKxe/TkhYFGMnaxNTCD0EBQTw0L138p/f30fnyHCeePsTfvn4i+xVj7T4GCFBHXjmt3fyi3nT2fTDPm64/U52797lxayFEL5EijhxVidPnmDDhnVMnz6L4OBgTWJu2bCMY7mZzL76DixWP01iCqGn3vFxvPDwPTzyi2soKjvFQ8+8zu9ffIvU7LwWfb3JaOT6y6bw/O/uxd/PjwceuJf//Od5qqpk4l8h2jsp4sRZrVixFJvNxpVXLtQk3vFj2Xy79jP6DxmL0n+EJjGF8AVGo5FLRw/jnb/9ljsWzOLg0XTu/PuzPPXeZ+S2cO3UvgldeffVl5k37wo++eQDbrnlen744dyX/hJC+D4p4kSjysrK+Oyzjxg9ehzx8d28Hs/hsLPk/RcwW6xctmCR1+MJ4YusFgtXT7uYd//+MPMvGc+GHbu5+dEn+eu/nyMrv6DZrw/qEMAjv7qLl556EgMOHnjgXp587FEqjmeeueaqrLEqRLtg1jsB4Zs++ug9SkpKuO22u7wWo3ukBSvVhFDGge8+Iyv9ML++70FG9AwD3CPtQgNNtH5qVCHatpCgDtx99RyumjqRT9d9y8pvNrFq/QYmjRzM9TOn0C02uvEvtFdRdvQgfYPhtUfu5YNVG/hk7Xo2ffcdN8+dxuwJozCZTAT1GgoWuV1BiLZOijjRwPHjx/n004+YMmUaffooXotjpZrCgztJKT3OkqWfMWrgAPp0tFJ48OdLQBEjRnotvhC+LjIshHsWzuWOu+7krTfeYMW329j4/V5GDezLFZeMZ1i/3mf9Wj+rhVsvn8GkkYN5+ZMVvPjRMlZ8s427r57DpF5DNXwVQghvkSJOYHdClc1e+/iNt/6L3W7nuhtv41SV/Yy2Tg9PRXWypIQn3/6QyLAwrp4xzbMHF6KdiAgL444Fs1g4fRLLvt7CF99u53fPv0FCbDTXzpzEuCED8bdaG/3aHnEx/PuBO9j64wFe/exLHnn+DS7avJtbb/8liYkDNH4lQghPkiJOUGWzszMpH4CCvEzWrFrOiLHTyC6xkF2Sf0bbwX08t4ZpdXUV/128hOpqG/ddfx0BfnJ5R4imhAR14OY507h2xiV8s2svn2/YzONvfkJwhy+YOnoYVy0MpLGfUIPBwLghAxjZvy/Lv9nCJ+s3c9ddtzJ27HhuvfVOr/a4CyG8R4o4UcvhcLD0g5fw8w9k0gzvjkh1OBw8/+KzpOfk8n+33UBMZKRX4wmhC4OBavvZF6p3uly1z5tNJoyGlh3WajEzbcwIpo4eTkpWFh+u+oYV32xjyYbN9E3oyoxxI5k8cggdAvwbfN1VUy/m6pvv4KPlq/n44w+47bYbGTVqLNdddyNDhgzDYGhhEkII3UkRJ2pt2biMrPTDXHnzbwjqGOq1OE6nky8/fZUffvieq6ZPZfTgRLLyZaZ50f7YHc4m39vWOBtpuSUAJMR0xGpu3aooBoOBof160atrV4pKy9hyJIelK77guQ+W8OpnXzBmcH8mjRjMyP4KVsvPv+47BAZy0023Mn/+VSxZ8imff/4p999/N337JrJw4fVMnDgJi8Vybi9aCKEZKeIEAPk56Xy96mP6DxnDwGHjvRbH6XTyxaev8sO2r5g/bwGTB/bxWiwhLiShwUFct+ByLhvSm0NpmazdupNNP+zj6517CfT3Z/xQd0E3tG+v2q8JDg7m5psXcc0117NmzSo+/vgD/vrXPxAeHs7s2ZczZ858oqPPMhJWCKE7KeIEp06d4rN3n8E/IJDZV9153pdTukdaCKEMJfLMURB2u41XX3+ZH7Z+y/x5C7jzlhs5+sOO84olhDiTwWCgX/d4+nWP55fXXM6eQ0f4ZtePbN6zn3XbfiDQ34/RF13E6PGXMHr0OEJDQ/Hz82fevCuYPXse33+/neXLP+f999/mf/97hxEjLmLq1BlMmDCJwMBAvV+eEKIOKeIucHa7nX/+7fccz8/mhrv+SIfgkPM+ppVqSpJ/orDOZaRTFRW8vngJyekZzJk0kUsH9MZsaPli30K0e03cP1f33jlo+f1zZpOJkf0VRvZXuP+6K9iddJitPx7k+wMH2LjpOwwGA/37D2TUqDEMHz6Svn0TGTNmHGPGjCM3N4cvv1zO+vVr+Oc//4Kfnx8TJlzM1KkzGDlyNGaz/PkQQm/yU3gBc7lcPPXU4+zZvZPLr/slvfoO8Uqc1Oxs3lyynJKyMm6ZN4eLBsq0BkLU19T9c3XvnQNIiA0Bl7unu7S8urbAq1/swc8Fn9ViZvSgREYPSiSwx2AOpOWxZct3bN26mbfeep0333yNwMAODBkylGHDRnLR0IHcdeNC7r7pGn46cJC1Gzaw4Ztv+eqrdXQMDmb0RSMZP3oUo8dOwD9YBiYJoQcp4i5QdrudF154mlWrvuC6G26l70VTPB/D4WDd1m2s+m4LocHBPHDT9XSPi/N4HCEuNHULPn8/C5VVNqBhsQeND5iwmI0M7BHLwB4LuevGhRQVF/PD3r3s2r2HnXv2sHXrZgAC/f3o1z2exJ7dGN0zgesu/jWHjmby3Z597Nixg3UbNmIyPsHAQUMYM2Y8w4ePpGfPXphMDQdoWKkCW2XTL8ziTzUy1ZAQLSVF3AWovLycv/zlD2zfvoVrr72RG25axK5Dxzwa40c1hVc+WUFOQQEjEvtxzczpBAYEeDSGEKIFGrlM67RVciJ5/xn7RsZ2ZFTcxTDnYvILT5JSUs3ObVs5kJLG/1ZuwFXT8xcbFUHPrrHMnTQWP6uFIqeVH37azyuvvABAUFAw/QcMZuCgIQwcNJTEvv3ws5rBVknZkT1NpirLgQnROlLEXWAOH1Z57LG/kpZ2lAcf/B3z5i1osCrD+chKP8yytz9l954fCO/YkbuuvpJBfc6+NJAQwrsau0zbXI9ddEQYfUYmMra7e2TqqYpKklIzUNMyOZKZQ3JGNt/t3lf7tUEdw0joPQCLxUp1ZQVJh5LYsd3dm+fvH0CfPgqJvXvSPdSK0q0LsVERGI1Gb75sIS4ImhZxiqJYgGeBa3GvcP4G8HtVVRvc4a4oSgjwCjALKAOeVlX1GQ3TbVcqKip49903+eSTDwgJCeWJJ55l1KgxrTrG2UadVlZW8v3O7Xz9zQYOJh0gKCiIm+dOZ1jiICxy87MQbV6HAH9GJPZhRKJ7SqBqu4Ok1GNk5h/jBFZ+PJRKXnYqWcdysNtttV9nsfoREBhIekY6Bw/sw+5w9wgG+PmREBtNfEw03WI61XyMpk9vF4bKk83m4zT7YzMEYLO7/wF1nSin/Cz/jPpZzJhbWC/WX4KwKa05rhDeovVf2MeBqcBlQEfgPaAI+Fcjbd8EYoAJQB/gbUVRclRV/VijXNuF4uIili5dzOeff0JxcTGzZs3lnnvuIzi4Y6uPVXfUaVV1NckZGew9dJjdB5OorK4mMjSU+VMm84vbboPj6TKBrxDtWIC/P326xROROJJeI91DZZ1OB0UnCjh+LJvj+dkcP5ZNZWkBaWlptQUcQEVVFUmpGRxKy6y9TAtgtTxFcGAg4SEdiQoPJzYqiqjwMCLDQokICcFaMwFxROJI/MM78ePhAgCCg/wpLWv8fruR/aIx+7XsT13dJQib05rjCuEtmr0DFUXxB+4GFqqquqNm3yPAE4qiPFm3N05RlG7AFcAgVVX3Az8pitIf+A0gRVwzSktL2Lp9Gxs3rmfX99ux2aoZNXo8C6+9kX6JAwHOuITa3KL2LpeLspKT7MlKJePAdnbuO8zRrCwcTid+FgvDEvsxetBAesV3xWAwEBgQQLk3X6AQwmeEBllQON37ZoRO0dA3GhgGQHR4IPknyvEzVLPrm684UVxMYVExJ4pLOF5UxPGTJyksKqa8spJqm43C4mIKi4tJzshsEMtkNGK1WggO7khIx44EdAgmPDSMqE6dCAsLJyoiivCISMJCwwgMDMRm8I3761raw+cLvXveyFV6OL1Hy38jhgCBwHd19m0CooGeQHKd/WOAopoCrm7bPymK4q+qajNDnNo/l8tFWVkZJ0+eIC8vh/T0dNLSjrJ//0+kph4FILhjGMPGTGXE2KlEx3ajDBr9LzMxIYSSokLKT5VwqqyUspITnCw8xsnCfE4WHqMgP5NTpcW17bt2jmbyqJH0696dnl271P53LIS48JicNgoP7jzr8wHRwRTml9JnxEhio6KIjYpqtJ3D4SA+sS9bv95EcVkZxaWlFJwsouDESU6WllBWXkFlVRXVNhvHCgo4VlDQbG4GgwHvQt/mAAAQlUlEQVSTyYzFYsFqtWK1WvHz88PPzx9//9NbAIGBgQQEBGCx+nOyHPwCAvHzC3Bv/gFY/QPw9w/EavXHbPXDbDZTWVmJn8kfk8nU7ATpLe3h84XePW/kKj2c3qPlmYoDTqmqWlxnX17Nxy6cWcTFATn1vj4PMOK+xJragngmAGNLV5Q+B0ePHmH//n01lwNcNdM2uXA6naencMLlcj+ueYTLVXfjjMennz/90WazU11dTXV1NS6XnezsXEpLS6isrKCqqqrOcd0sFiuhoSFMnHgxwR3DsLmsuHBycPfX/LSjGpvdhsNWhc1mw26rxm6zUVlZRnVVVaOvr0NwCJHhkfRW+tKpc1cG9+5Cj0AbJaea/o/KZLZg9g/Ev0PTk/mazBb8O3Rosu3pNqeZ/QPw79Awfv127rYNj9tYu/ptz9amNe3qtm2uHYDRZG62zemYZv9A/AJNYLY1284734PG257P96B+u5Z8D/ysFl2/By05t821q5vXuX4P/KyW2vfCeX0PAgLP6JV3GU04zY33ZJlM4N/BcdZjNRa/Jd+Dzp07o/Tu1WQbgISBgyhKP8TRzOMUlZZScqqME8UllJ4q51RFJVVVVVRWV2HDiN3uoLq6CputGofDgdPppKLiFBUVp5qN05R36j12F3IGDAb3ZrFYCO7YEZPJjNlkpMoOJpMJo9HkHtRhMGIwGjAYjBhqvn57sD8mowmj0X0Mo9GIwWCs+Wio2X/mY/cAESNGo4HAQD8qK201+VBbXLow4HA4oSa3n/PljM8N7kw4VlTOz08bGilSDeQdDsRck0fjx/z52Da7i7wT5WCoPeJZz2thaiDWJrvimv6bHhhopby8uvGvPI/ViBISujNokHfmUj2tTr3S4kWUDXXvR/AmRVFuBJ5TVTWizj4j4ABmqqq6ps7+R4HLVVUdXmdfDyAF6Keq6qEWhBzPmb1+QgghhBC+bgKwuSUNteyJq4AGszieflz/FqrWtD2bnbhPRC7uQlEIIYQQwleZcF9tPPv9CfVoWcRlAR0URQlSVbWsZl9MzcfsRtp2rrcvBrADLZ2VtooWVrJCCCGEED4gpTWNtRwD8iPuXrTxdfZNAPJVVa2f9DYgQlGUvvXa7pZBDUIIIYQQGt4TB6AoygvATOBmIAD4H+775J5QFCUccJwe+KAoygqgE+5pSXrgvo/0NlVVP9EsYSGEEEIIH6X1ON6HAX9gDVCJe0LfJ2ueWwKkAbfUPL4FeB3YApwAHpUCTgghhBDCTdOeOCGEEEII4RkyL7IQQgghRBskRZwQQgghRBskRZwQQgghRBskC5TpTFEUP2A38DtVVb+s91wUcBCY0NQqFYqirMI96reuB1RVfc7T+XpLY+dBUZRE4BlgNFAKfAr8UVXVirMcoz/wKjAcOAr8RlXVdRqk7xEeOgcrgDn1dv9WVdWnvJa4h53lPAwDnsP9vS0AXlZV9ckmjtEFeA24GMgH/qSq6gfezt1TPHQOXgB+VW/3f1RV/aV3sva8pn4/1jz/HhCvquqkJo7R7t4L9Z5vyTlol+8FRVF+Azxdr+lKVVVnn+UYbfpvRGOkJ05HiqIE4P6jnNjIc5HASiCyBYdKxD1tS0yd7XXPZepdjZ0HRVGCgdW4J3ceDdwEzOfn0cyNHWMNsA/3D+gnwDJFUbp7NXkP8cQ5qJEILOLM98LL3sna885yHkKBtcAeYBDuP0Z/VBRlUROHWop7wu+LcJ+vtxRFGeutvD3Jg+cgEfgLZ74X/s87WXteU78fa56fDdzYgkO1q/dCvedbeg7a63shEfcsF3Vf1w1NHKPN/o04G+mJ00nNf9Xv4V6Fov5z04E3gOMtOE4QEA98r6pqnqfz9LYmzsNUIAS4XVXVKuBQzZq6L9HwP0qAqwALcJ+qqnbg74qiXIJ7nsGHvZW/J3jqHNT8kupO+3svxOMuYB5QVdUJpCiK8hXunpU3GznORGAwME1V1ZPAQUVRRgO/BrZ68SWcN0+dgxr9cc/D2Z7eC6efDwNewT0FVVPHaY/vhdPPt+gc1Giv74X+wActfF1t9m9EU6QnTj+XAMuBMY08NwN3F/HCFhwnEXDSyqU6fMjZzsMO4PKa4uU0F2BVFKWx9+1YYGvND+dpm4BxnkzWS/6/vTuPlauswzj+vdRSFlmCii2LSxQfbImhIASMlbAZBVmU2rAFLLhAFANSoICsLUvZpCC1shZsoNBKUkJEFKRQWQUNpZT8SIGytgTCZqEs2usf7ztyerhz70yZufeeyfNJJnfmnHPPee9735nzzu/dWpUHX80/F7c+if2ix3yIiAURcXBErJTUJWkMqfJyR53zfANYmG/aNZUuC83mQZ48fTgQ7U5wm/T2+QgwFZgDPNDHeTquLBQ0lAcdXhZG0vjfVeV7RF2OxA2QYh8lSeV9x+TtX27gVKOAN4AZknYm9fm4MCJmti617VMvHyLiRQpr6koaAvwSuDdHIso2BZ4tbVsGbNbK9LZDC/NgFPAWcIWkXUnNsBdFxHVtSnpL9faeKHidFJ28Fbi+zjGbAi+Vti0DNpHUFRGDdnLMFubBqPxzgqQ9SP0pryaVh57KzqDSWz5I2ot0Q/4acGYfp+rIstBkHnRkWZC0ObA+cKCk35OCGbOB00tffGsqe4/ojSNx1TcSWAe4kxTBmwlcI2nsgKaq9S4lNYscV2f/OqR+L0XvAcPamah+1lcejCStiHI3qSxcC1wpaf/+SV575ejjbsC+wGjq9/WrVxag4uWhiTyoReifBvYAzgdOocLNRvD/JsTppCUY32ngVzquLKxGHnRkWeDD/nGvkd4PE0n9hqfWOb4j7xGOxFXfRODsQnPBAklbkPpMzRm4ZLVGjj5NAw4DxkbEo3UOXcFH34zDgEY+5Aa1JvLgZOC8Uln4EqkszGp/StsrRw0eBh7OI9WulzQhIt4qHboC+Gxp2zBgZUS82w9JbZsm8uByYHZEvJZfPybpU8AxwLn9l+KWuwS4JSLmNXh8J5aFZvOgI8tCRNwu6TMRUes7viBH6mZJOrqH/29H3iNciau4iPgvqXmlaBHp23qlSRpKai7aC9gvIm7p5fAXSP0+ikZQaI6sombyIN/geyoLPQ63r4pcEf1KRNxW2LwQGAJsRGpCLnqBNJq3aAQfbVarjGbzIDcTvsaqFgHDJQ3JnxtVdDCwQlJtROaawBBJy4GREfFc6fiOKws0mQcdXBYoVOBqFpHeE8NJa7EXdeQ9ws2pFSdptqSrS5tHA08MRHpa7CpgT2CvPipwAPcDO+SoVc0YBvkItAY0nAeSbshzRhV1QlnYAbhJ0rqFbduR+vaUb9qQysJWkjYobKt6WWgqDyRNkTSvtHk08GSVb9rAFqR+YFvnx3WkyOTW9Fwx68Sy0FQedGpZkPRzSYsldRU2jwaWkypsZR15j3AkroIkDQfeyOHiuaQ+cPNJI22+BxwI7DyASfzYCvMfHUUK/xe/Qb0cEd1525t54ts/AucA0yVdBOxHmhfqsH5OesusRh7MBWZKuhuYR+r/cgjVj8rOBc4iDd75NSDSfF+Tah2zlSbGXhERy4H5pIrrTEknkjqAH0C13xPN5sEtwLGSTiLNh7UjcAJpOoXKiohVRl5LeoP0Ny8ubOvosrAaedCRZYE059sU4BJJU0mj8y8Azq2NQO30ewQ4Elc5kj4BLAXGAuRRqEeR+sY9DvwYGBcRlf52AYzLPy8l/b3FRy0asZQ8DUv+sNqD9A31X3n7PhHxTD+mudWazYNZpA/m40hl4Qhg/4iY349pbrn8v/02sB4p4jCN1Hm5uArFP4AJ+fiVpEmR18rbjwfGR8T9/ZjsllqNPLiX9BkxjtTsegZwfJVWKvgYOrosNKjjy0JEPEVaqWhb4FHSnHnTgLMLh3X6PYKu7u5BO8LazMzMzOpwJM7MzMysglyJMzMzM6sgV+LMzMzMKsiVODMzM7MKciXOzMzMrIJciTMzMzOrIE/2a2ZtlWeL36nO7tsj4jv9mJzKkTQZ6I6IUyT9CLgGWLu8NqSktUjrQ46PiBkNnPdgYO+IGNfXsWY2ODkSZ2b9YS5pncLy44CBTNRgJ+nrpFU3zmn1ufNE4ZtL8v/ArKIciTOz/vBuRCwb6ERU0LnA7yLinTadfwowVdKciPigTdcwszZxJc7MBpykGcCGpM+knYDLI+JYSVuSlpbaidRUeC8wIS+5Q178+ljgF8DGwJ2kdWOPi4jh+Zhu4MiImF643hJgVkRMzK/7us4MYE1gCTAeWAd4EDgqIiIfM4S0/N1hwCbAU8BZEXFDXqvxAGCz2qLjktbI57s0Is7vIU+2AXYhLaW3Onm6BPh8D7vmRURt7dDbgBnA/sAfVuc6ZjZw3JxqZoPFPsBDwNbAZZI2Af5OWv9wR2A34G3gobwP0lqYZ5LWgxwNPAJMbuaiDV4H0oLZn8v79wG2JK3XWHMhqUJ5KrAVcCVp4fXd8/PhpPVPa3YjNSlfVydp3wcWRsSSZv6egu1Ytel6IvABhfyJiPeAvwL7ruY1zGwAORJnZv1hP0nLS9tejAgVXr8NTIqIbgBJk4DXgZ8Wth0KPA/8RNKZwNHAtIi4Jp/j9BzB2r6JtB3Z23VIFURIEbrDc8UHSZeRKpBIWg84AjihsLD4xZKGAUMjYpGk+0j9227L+8cDt0bEy3XStSPwWJ19r0qqsyuJiFdqzyXtAkwCjoiIO0uHLshpN7OKcSXOzPrD7aQKV9F/Sq+fqlWism2ALwL/LlVY1gZGAp8mRbceKp3nbzRXievrOjXP1Cpw2ZukJlYAAcOAB4oniIgphZdXAtMkbQB0kaJfP+wlXSOoX4nbHni/tG1N4PHygZJGATcDF0TE1T2c6xVgY0ldpfw3s0HOlTgz6w/LI2JxH8esKL1eg9Q37fCezld43lXa9x59G7oa1+ntvOUKVU9uBC4Gxubrv86HUbmedFO/y8vTdaYYobRtBPAn4C/AyXXONQRY2WvKzWxQcp84MxusHiNFuF6KiMW5EvgccB7wrdxc+DwwpvR7O5Revw+sX3shaX3SIIiGrtNgWheT+putEgGUNCc3u5JHmN4AjCNV5GbUBjnU8WIpnU2RtC5wK/AScEgvUbaNgaWOwplVjyNxZjZYTQN+Btwk6TRSpO4MYHfgxHzMZOC3kp4gRZu+CxwEvFo4z32kPnR35XNMJlW4mrlOryLiHUkXA6dJWgr8kzT4YV+gOJnxFcD9+Xlf/dAeJI0abVoeKXsjsBFpMMUGkjYspLc43cu2pDwys4pxJM7MBqU8KnMM6XNqHqnysxGwa21aj4i4nDQw4RhgIbA3H50q40hSxG4+8Gfgnvxo+DoNOhmYDvyG1DftUGBcRNxRuNYjwBPAfQ00L98MbCGpp2lC+rI5sCfwBeBJYBlp9G3tAUAeePHNfC0zq5iu7m5H0M2sc0g6nTQKc/hAp6VM0lBShXJCXjGhr+PvAu6JiNPalJ6DSCNsFRHlgSZmNsg5Emdm1maSNpT0A1Jz6gfA7AZ/9URSU/An25CmLuBXwKmuwJlVkytxZmbttwZwFWlFiANLU5XUFREPANcCJ7UhTYcAzxbmtTOzinFzqpmZmVkFORJnZmZmVkGuxJmZmZlVkCtxZmZmZhXkSpyZmZlZBbkSZ2ZmZlZBrsSZmZmZVdD/AEa1FZ33oA0RAAAAAElFTkSuQmCC\n", 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\n", 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      " ] @@ -380,7 +365,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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      " ] @@ -427,7 +412,7 @@ "output_type": "stream", "text": [ "Slow spindles peak frequency = 11.20 Hz\n", - "Fast spindles peak frequency = 12.60 Hz\n" + "Fast spindles peak frequency = 12.40 Hz\n" ] } ], @@ -493,7 +478,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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      " ] @@ -525,7 +510,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Eigenvalues = [2.91, 2.42, 1.6, 1.36, 1.25, 1.14, 0.95, 0.79, 0.63]\n" + "Eigenvalues = [3.21, 2.35, 1.91, 1.32, 1.17, 0.98, 0.91, 0.77, 0.7]\n" ] } ], @@ -549,7 +534,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "(9, 947925)\n" + "(9, 954000)\n" ] } ], @@ -566,7 +551,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
      " ] @@ -608,8 +593,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Slow spindles peak frequency: 11.20 Hz\n", - "Fast spindles peak frequency: 12.60 Hz\n" + "Slow spindles peak frequency: 11.00 Hz\n", + "Fast spindles peak frequency: 12.80 Hz\n" ] } ], diff --git a/notebooks/04_detection_NREM_only.ipynb b/notebooks/04_detection_NREM_only.ipynb index c4b571e..a59eb20 100644 --- a/notebooks/04_detection_NREM_only.ipynb +++ b/notebooks/04_detection_NREM_only.ipynb @@ -23,14 +23,6 @@ "execution_count": 1, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "D:\\Programs\\Anaconda\\lib\\site-packages\\vispy-0.5.3-py3.6.egg\\vispy\\visuals\\isocurve.py:22: UserWarning: VisPy is not yet compatible with matplotlib 2.2+\n", - " warnings.warn(\"VisPy is not yet compatible with matplotlib 2.2+\")\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -47,7 +39,6 @@ "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns\n", - "from visbrain.io import read_hypno, oversample_hypno\n", "sns.set(context='notebook', font_scale=1.3)\n", "\n", "# Load data\n", @@ -66,16 +57,11 @@ "source": [ "**Hypnogram**\n", "\n", - "Next, we load the sleep staging vector (a.k.a hypnogram). To do so, we use [Visbrain](http://visbrain.org/sleep)'s built-in functions. Please see [here](http://visbrain.org/sleep.html#hypnogram) to read more about hypnogram format and loading in Visbrain.\n", + "Next, we load the sleep staging vector (a.k.a hypnogram), which is a simple text file in which each value represents 30 seconds of data. Sleep stages are encoded as integer (*0: Wake, 1: N1 sleep, 2: N2 sleep, 3: N3 sleep, 4: REM sleep*).\n", "\n", - "In the code below, we first load a 30-seconds encoded stage vector (`hypno_30s`) and over-sample it to have the same size as the data (i.e. one point per data sample). This yields a NumPy array (`hypno`) where:\n", - "- **0** = Wake\n", - "- **1** = N1 sleep\n", - "- **2** = N2 sleep\n", - "- **3** = N3 sleep\n", - "- **4** = REM sleep\n", + "In the code below, we load our 30-sec hypnogram and upsample it to match the sampling frequency and length of data, using YASA's built-in [hypno_upsample_to_data](https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html#yasa.hypno.hypno_upsample_to_data) function.\n", "\n", - "The detection will ONLY work if your hypnogram is formatted EXACTLY like the above, i.e. an integer list or array with the same size as your data and where each integer corresponds to a specific sleep stage." + "Please refer to [10_bandpower.ipynb](10_bandpower.ipynb) for more details on how to manipulate hypnogram in YASA." ] }, { @@ -84,31 +70,25 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "Hypnogram successfully loaded (data_full_6hrs_100Hz_hypno.hyp)\n", - "04-Mar-19 19:06:58 | \u001b[1;37mINFO\u001b[0m | Hypnogram successfully loaded (data_full_6hrs_100Hz_hypno.hyp)\n" + "(2161058,) Unique values = [0. 1. 2. 3. 4.]\n" ] }, { - "name": "stdout", + "name": "stderr", "output_type": "stream", "text": [ - "(2161058,)\n", - "Unique values = [0 1 2 3 4]\n" + "c:\\users\\raphael\\desktop\\yasa\\yasa\\hypno.py:160: UserWarning: Hypnogram is SHORTER then data by 10.58 seconds. Padding hypnogram (with last value) to match data.size.\n", + " 'data.size.' % dur_diff)\n" ] } ], "source": [ - "hypno_30s, _ = read_hypno('data_full_6hrs_100Hz_hypno.hyp')\n", - "hypno = oversample_hypno(hypno_30s, data.shape[1])\n", - "\n", - "# Alternatively, if you do not have Visbrain:\n", - "# hypno = np.load('data_full_6hrs_100Hz_hypno.npz').get('hypno')\n", - "\n", - "print(hypno.shape)\n", - "print('Unique values =', np.unique(hypno))" + "hypno_30s = np.loadtxt('data_full_6hrs_100Hz_hypno_30s.txt')\n", + "hypno = yasa.hypno_upsample_to_data(hypno=hypno_30s, sf_hypno=(1/30), data=data, sf_data=sf)\n", + "print(hypno.shape, 'Unique values =', np.unique(hypno))" ] }, { @@ -131,7 +111,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1830 spindles detected.\n" + "1669 spindles detected.\n" ] }, { @@ -173,17 +153,17 @@ " \n", " \n", " 0\n", - " 522.56\n", - " 523.78\n", - " 1.22\n", - " 45.810\n", - " 10.952\n", - " 2.139\n", - " 0.475\n", - " 13.068\n", + " 522.55\n", + " 523.79\n", + " 1.24\n", + " 45.569\n", + " 10.891\n", + " 2.133\n", + " 0.470\n", + " 13.079\n", " 16.0\n", - " 0.179\n", - " 2\n", + " 0.184\n", + " 1\n", " Cz\n", " 0\n", " \n", @@ -205,16 +185,16 @@ " \n", " \n", " 2\n", - " 598.09\n", + " 598.08\n", " 599.52\n", - " 1.43\n", - " 79.858\n", - " 16.234\n", - " 2.377\n", - " 0.424\n", - " 12.889\n", + " 1.44\n", + " 79.824\n", + " 16.180\n", + " 2.376\n", + " 0.423\n", + " 12.894\n", " 19.0\n", - " 0.368\n", + " 0.372\n", " 2\n", " Cz\n", " 0\n", @@ -222,15 +202,15 @@ " \n", " 3\n", " 604.37\n", - " 605.08\n", - " 0.71\n", - " 60.637\n", - " 12.875\n", - " 2.222\n", + " 605.09\n", + " 0.72\n", + " 60.745\n", + " 12.820\n", + " 2.220\n", " 0.355\n", " 12.648\n", " 9.0\n", - " 0.500\n", + " 0.493\n", " 2\n", " Cz\n", " 0\n", @@ -257,17 +237,17 @@ ], "text/plain": [ " Start End Duration Amplitude RMS AbsPower RelPower Frequency \\\n", - "0 522.56 523.78 1.22 45.810 10.952 2.139 0.475 13.068 \n", + "0 522.55 523.79 1.24 45.569 10.891 2.133 0.470 13.079 \n", "1 585.54 586.38 0.84 59.683 13.335 2.257 0.476 12.958 \n", - "2 598.09 599.52 1.43 79.858 16.234 2.377 0.424 12.889 \n", - "3 604.37 605.08 0.71 60.637 12.875 2.222 0.355 12.648 \n", + "2 598.08 599.52 1.44 79.824 16.180 2.376 0.423 12.894 \n", + "3 604.37 605.09 0.72 60.745 12.820 2.220 0.355 12.648 \n", "4 607.53 608.05 0.52 50.211 13.847 2.358 0.258 13.452 \n", "\n", " Oscillations Symmetry Stage Channel IdxChannel \n", - "0 16.0 0.179 2 Cz 0 \n", + "0 16.0 0.184 1 Cz 0 \n", "1 10.0 0.647 2 Cz 0 \n", - "2 19.0 0.368 2 Cz 0 \n", - "3 9.0 0.500 2 Cz 0 \n", + "2 19.0 0.372 2 Cz 0 \n", + "3 9.0 0.493 2 Cz 0 \n", "4 6.0 0.849 2 Cz 0 " ] }, @@ -291,15 +271,15 @@ "data": { "text/plain": [ "Channel Stage\n", - "Cz 1 1\n", - " 2 620\n", - " 3 24\n", - "Fz 1 1\n", - " 2 502\n", - " 3 15\n", - "Pz 1 2\n", - " 2 650\n", - " 3 15\n", + "Cz 1 22\n", + " 2 536\n", + " 3 30\n", + "Fz 1 17\n", + " 2 432\n", + " 3 19\n", + "Pz 1 24\n", + " 2 569\n", + " 3 20\n", "Name: Start, dtype: int64" ] }, @@ -329,7 +309,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "1813 spindles detected.\n" + "1604 spindles detected.\n" ] }, { @@ -371,61 +351,45 @@ " \n", " \n", " 0\n", - " 522.56\n", - " 523.78\n", - " 1.22\n", - " 45.810\n", - " 10.952\n", - " 2.139\n", - " 0.475\n", - " 13.068\n", - " 16.0\n", - " 0.179\n", - " 2\n", - " Cz\n", - " 0\n", - " \n", - " \n", - " 1\n", - " 585.55\n", + " 585.54\n", " 586.38\n", - " 0.83\n", - " 60.030\n", - " 13.178\n", + " 0.84\n", + " 59.683\n", + " 13.335\n", " 2.257\n", - " 0.478\n", + " 0.476\n", " 12.958\n", " 10.0\n", - " 0.643\n", + " 0.647\n", " 2\n", " Cz\n", " 0\n", " \n", " \n", - " 2\n", - " 598.10\n", - " 599.51\n", - " 1.41\n", - " 80.040\n", - " 16.277\n", - " 2.380\n", - " 0.426\n", - " 12.878\n", - " 18.0\n", - " 0.366\n", + " 1\n", + " 598.09\n", + " 599.52\n", + " 1.43\n", + " 79.858\n", + " 16.234\n", + " 2.377\n", + " 0.424\n", + " 12.889\n", + " 19.0\n", + " 0.368\n", " 2\n", " Cz\n", " 0\n", " \n", " \n", - " 3\n", - " 604.38\n", - " 605.07\n", - " 0.69\n", - " 60.670\n", - " 12.926\n", - " 2.225\n", - " 0.357\n", + " 2\n", + " 604.37\n", + " 605.08\n", + " 0.71\n", + " 60.637\n", + " 12.875\n", + " 2.222\n", + " 0.355\n", " 12.648\n", " 9.0\n", " 0.500\n", @@ -434,7 +398,7 @@ " 0\n", " \n", " \n", - " 4\n", + " 3\n", " 607.53\n", " 608.05\n", " 0.52\n", @@ -449,24 +413,40 @@ " Cz\n", " 0\n", " \n", + " \n", + " 4\n", + " 622.93\n", + " 624.39\n", + " 1.46\n", + " 144.872\n", + " 26.808\n", + " 2.651\n", + " 0.466\n", + " 12.769\n", + " 18.0\n", + " 0.408\n", + " 2\n", + " Cz\n", + " 0\n", + " \n", " \n", "\n", "" ], "text/plain": [ " Start End Duration Amplitude RMS AbsPower RelPower Frequency \\\n", - "0 522.56 523.78 1.22 45.810 10.952 2.139 0.475 13.068 \n", - "1 585.55 586.38 0.83 60.030 13.178 2.257 0.478 12.958 \n", - "2 598.10 599.51 1.41 80.040 16.277 2.380 0.426 12.878 \n", - "3 604.38 605.07 0.69 60.670 12.926 2.225 0.357 12.648 \n", - "4 607.53 608.05 0.52 50.211 13.847 2.358 0.258 13.452 \n", + "0 585.54 586.38 0.84 59.683 13.335 2.257 0.476 12.958 \n", + "1 598.09 599.52 1.43 79.858 16.234 2.377 0.424 12.889 \n", + "2 604.37 605.08 0.71 60.637 12.875 2.222 0.355 12.648 \n", + "3 607.53 608.05 0.52 50.211 13.847 2.358 0.258 13.452 \n", + "4 622.93 624.39 1.46 144.872 26.808 2.651 0.466 12.769 \n", "\n", " Oscillations Symmetry Stage Channel IdxChannel \n", - "0 16.0 0.179 2 Cz 0 \n", - "1 10.0 0.643 2 Cz 0 \n", - "2 18.0 0.366 2 Cz 0 \n", - "3 9.0 0.500 2 Cz 0 \n", - "4 6.0 0.849 2 Cz 0 " + "0 10.0 0.647 2 Cz 0 \n", + "1 19.0 0.368 2 Cz 0 \n", + "2 9.0 0.500 2 Cz 0 \n", + "3 6.0 0.849 2 Cz 0 \n", + "4 18.0 0.408 2 Cz 0 " ] }, "execution_count": 5, diff --git a/notebooks/07_sw_detection_multi.ipynb b/notebooks/07_sw_detection_multi.ipynb index 41ee585..2cec1f8 100644 --- a/notebooks/07_sw_detection_multi.ipynb +++ b/notebooks/07_sw_detection_multi.ipynb @@ -61,78 +61,13 @@ "\n", "**Applying the detection**\n", "\n", - "To apply the multi-channel detection, we use the `yasa.sw_detect_multi` function. Read the doc below:" + "To apply the multi-channel detection, we use the [sw_detect_multi](https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/main.html#yasa.main.sw_detect_multi) function." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\u001b[1;31mSignature:\u001b[0m \u001b[0myasa\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msw_detect_multi\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mch_names\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", - "\u001b[1;31mDocstring:\u001b[0m\n", - "Multi-channel slow-waves detection.\n", - "\n", - "Parameters\n", - "----------\n", - "data : array_like\n", - " Multi-channel data. Unit must be uV and shape (n_chan, n_samples).\n", - " If you used MNE to load the data, you should pass `raw._data * 1e6`.\n", - "sf : float\n", - " Sampling frequency of the data in Hz.\n", - " If you used MNE to load the data, you should pass `raw.info['sfreq']`.\n", - "ch_names : list of str\n", - " Channel names.\n", - " If you used MNE to load the data, you should pass `raw.ch_names`.\n", - "**kwargs\n", - " Keywords arguments that are passed to the `sw_detect` function.\n", - "\n", - "Returns\n", - "-------\n", - "sw_params : pd.DataFrame\n", - " Pandas DataFrame::\n", - "\n", - " 'Start' : Start of each detected slow-wave (in seconds of data)\n", - " 'NegPeak' : Location of the negative peak (in seconds of data)\n", - " 'MidCrossing' : Location of the negative-to-positive zero-crossing\n", - " 'Pospeak' : Location of the positive peak\n", - " 'End' : End time (in seconds)\n", - " 'Duration' : Duration (in seconds)\n", - " 'ValNegPeak' : Amplitude of the negative peak (in uV - filtered)\n", - " 'ValPosPeak' : Amplitude of the positive peak (in uV - filtered)\n", - " 'PTP' : Peak to peak amplitude (ValPosPeak - ValNegPeak)\n", - " 'Slope' : Slope between ``NegPeak`` and ``MidCrossing`` (in uV/sec)\n", - " 'Frequency' : Frequency of the slow-wave (1 / ``Duration``)\n", - " 'Stage' : Sleep stage (only if hypno was provided)\n", - " 'Channel' : Channel name\n", - " 'IdxChannel' : Integer index of channel in data\n", - "\n", - "Notes\n", - "-----\n", - "For better results, apply this detection only on artefact-free NREM sleep.\n", - "\n", - "Note that the ``PTP``, ``Slope``, ``ValNegPeak`` and ``ValPosPeak`` are\n", - "computed on the filtered signal.\n", - "\u001b[1;31mFile:\u001b[0m d:\\desktop\\yasa\\yasa\\main.py\n", - "\u001b[1;31mType:\u001b[0m function\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Print the documentation\n", - "yasa.sw_detect_multi?" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, "outputs": [ { "name": "stdout", @@ -278,7 +213,7 @@ "4 47.775 157.753 1051.689 1.020 Cz 0 " ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -291,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -432,7 +367,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -462,19 +397,19 @@ "This example demonstrates how to manipulate [MNE Raw object](https://mne-tools.github.io/stable/generated/mne.io.Raw.html#mne.io.Raw). The MNE package has several [functions](https://mne-tools.github.io/stable/python_reference.html#module-mne.io) to load the most standard EEG file formats (EDF, BrainVision, EEGLab, FieldTrip...).\n", "\n", "### Load using MNE\n", - "For the sake of this example, we'll load a PSG file encoded in the native MNE format (*.fif) using the `mne.io.read_raw_fif` function." + "For the sake of this example, we'll load a PSG file encoded in the native MNE format (*.fif) using the [mne.io.read_raw_fif](https://martinos.org/mne/stable/generated/mne.io.read_raw_fif.html) function." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Opening raw data file D:\\Desktop\\yasa\\notebooks\\sub-02_mne_raw.fif...\n", + "Opening raw data file sub-02_mne_raw.fif...\n", " Range : 0 ... 293999 = 0.000 ... 2939.990 secs\n", "Ready.\n", "Reading 0 ... 293999 = 0.000 ... 2939.990 secs...\n" @@ -490,7 +425,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -531,7 +466,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -550,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -578,7 +513,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -587,7 +522,7 @@ "array([0.00116572, 0.00108572, 0.00053502, 0.00056241])" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -606,7 +541,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -623,7 +558,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -770,7 +705,7 @@ "4 45.152 122.517 875.122 0.901 F3 0 " ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } diff --git a/notebooks/10_bandpower.ipynb b/notebooks/10_bandpower.ipynb index 3dafc67..3e8e7ee 100644 --- a/notebooks/10_bandpower.ipynb +++ b/notebooks/10_bandpower.ipynb @@ -273,7 +273,7 @@ }, { "data": { - "image/png": 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\n", 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0000000..705f69f --- /dev/null +++ b/notebooks/data_full_6hrs_100Hz_hypno_30s.txt @@ -0,0 +1,722 @@ +# 1 value per 30 seconds of data (1 / 30 Hz) +# 0: Wake, 1: N1, 2: N2, 3: N3, 4: REM +0 +0 +0 +0 +0 +0 +0 +0 +0 +0 +0 +1 +1 +1 +1 +1 +1 +1 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +0 +0 +0 +0 +0 +0 +0 +0 +0 +0 +0 +1 +1 +1 +1 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +0 +0 +2 +2 +2 +2 +2 +2 +2 +2 +0 +0 +0 +0 +0 +0 +0 +0 +0 +1 +1 +1 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +0 +0 +0 +1 +1 +1 +1 +1 +2 +2 +2 +2 +0 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +2 +2 +2 +2 +4 +4 +0 +4 +4 +2 +2 +2 +2 +2 +4 +0 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +3 +2 +2 +2 +2 +2 +4 +4 +4 +4 +4 +4 +4 +4 +0 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +2 +4 +4 +4 +0 +4 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +0 +1 +1 +1 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +0 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +2 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 +4 diff --git a/yasa/hypno.py b/yasa/hypno.py index aea8078..1ae0eca 100644 --- a/yasa/hypno.py +++ b/yasa/hypno.py @@ -32,7 +32,7 @@ import pandas as pd __all__ = ['hypno_str_to_int', 'hypno_int_to_str', 'hypno_upsample_to_sf', - 'hypno_fit_to_data', 'hypno_upsample_to_data'] + 'hypno_upsample_to_data'] ############################################################################# @@ -123,8 +123,9 @@ def hypno_upsample_to_sf(hypno, sf_hypno, sf_data): def hypno_fit_to_data(hypno, data, sf=None): """Crop or pad the hypnogram to fit the length of data. - Hypnogram and data MUST have the SAME sampling frequency. If not, - please use the ``hypno_upsample_to_sf`` function before. + Hypnogram and data MUST have the SAME sampling frequency. + + This is an internal function. Parameters ---------- @@ -182,9 +183,6 @@ def hypno_upsample_to_data(hypno, sf_hypno, data, sf_data=None): resulting hypnogram to corresponding EEG data, such that the hypnogram and EEG data have the exact same number of samples. - This function is a shortcut to - ``hypno = hypno_fit_to_data(hypno_upsample_to_sf(...), ...)``. - Parameters ---------- hypno : array_like diff --git a/yasa/main.py b/yasa/main.py index 764423f..d76dbc2 100644 --- a/yasa/main.py +++ b/yasa/main.py @@ -516,9 +516,9 @@ def spindles_detect(data, sf, hypno=None, include=(1, 2, 3), freq_sp=(12, 15), detection will only be applied to the value defined in ``include`` (default = N1 + N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, - 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading - your hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 0 = Wake, 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (1, 2, 3), meaning that the detection is applied on N1, N2 and N3 @@ -933,9 +933,9 @@ def sw_detect(data, sf, hypno=None, include=(2, 3), freq_sw=(0.3, 3.5), detection will only be applied to the value defined in ``include`` (default = N2 + N3 sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (2, 3), meaning that the detection is applied only on N2 and N3 sleep. @@ -1307,9 +1307,9 @@ def rem_detect(loc, roc, sf, hypno=None, include=4, amplitude=(50, 325), detection will only be applied to the value defined in ``include`` (default = REM sleep). ``hypno`` MUST be a 1D array of integers with the same size as data and where -1 = Artefact, 0 = Wake, - 1 = N1, 2 = N2, 3 = N3, 4 = REM. If you need help loading your - hypnogram vector, please read the Visbrain documentation at - http://visbrain.org/sleep. + 1 = N1, 2 = N2, 3 = N3, 4 = REM. YASA provides several + convenient functions to load and upsample hypnogram data: + https://htmlpreview.github.io/?https://raw.githubusercontent.com/raphaelvallat/yasa/master/html/hypno.html include : tuple, list or int Values in ``hypno`` that will be included in the mask. The default is (4), meaning that the detection is applied only on REM sleep.