cottrell

import dataclasses
import importlib

# begin serialization lib
import io
import json
import lzma
import pickle
from base64 import b64decode, b64encode
from types import FunctionType

cottrell

def monkey_patch_pandas():
    import pandas as pd
    import functools
    @functools.wraps(pd.Series.str.contains)
    def _grep(self, *args, **kwargs):
        if not hasattr(self, '_greppable'):
            self._greppable = pd.Series(self.to_csv().split('\n')[1:-1])
        i = self._greppable.str.contains(*args, **kwargs)
        return self.iloc[i.values]
    pd.DataFrame.grep = _grep

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import functools

import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow.keras as keras
from pylab import *

ion()

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import functools

import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow.keras as keras
from pylab import *

ion()

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import numpy as np
import pandas as pd
import ray
import ray.tune
import ray.tune.track
import tensorflow as tf
import tensorflow.keras

def ray_init(load_code_from_local=False):
    if not ray.is_initialized():

cottrell

'''
Non-parametric computation of entropy and mutual-information

Adapted by G Varoquaux for code created by R Brette, itself
from several papers (see in the code).

These computations rely on nearest-neighbor statistics
'''
import numpy as np

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"""
$ uname -a
Linux ip-??? ???-aws #53-Ubuntu SMP Wed Sep 18 13:35:53 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
$ python --version
Python 3.7.3
$ pip list
Package         Version   Location
--------------- --------- -----------------------------
certifi         2019.9.11
memory-profiler 0.55.0

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seed = 10
import random
random.seed(seed)
import numpy as np
np.random.seed(seed)
import tensorflow as tf
tf.reset_default_graph()
tf.random.set_random_seed(seed)

import tensorflow.keras.backend as K

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#!/usr/bin/env python

import tornado.ioloop
import tornado.web
import threading
import time

LISTEN_PORT = 8000

class FancyStaticFileHandler(tornado.web.StaticFileHandler):

cottrell

https://pypi.python.org/packages/source/a/appnope/appnope-0.1.0.tar.gz
https://pypi.python.org/packages/source/d/decorator/decorator-4.0.4.tar.gz
https://pypi.python.org/packages/source/f/filename_to_pypi.py/filename_to_pypi.py
https://pypi.python.org/packages/source/g/gnureadline/gnureadline-6.3.3.tar.gz
https://pypi.python.org/packages/source/i/ipython/ipython-4.0.0.tar.gz
https://pypi.python.org/packages/source/i/ipython_genutils/ipython_genutils-0.1.0.tar.gz
https://pypi.python.org/packages/source/p/path.py/path.py-8.1.2.tar.gz
https://pypi.python.org/packages/source/p/pexpect/pexpect-4.0.1.tar.gz
https://pypi.python.org/packages/source/p/pickleshare/pickleshare-0.5.tar.gz
https://pypi.python.org/packages/source/p/ptyprocess/ptyprocess-0.5.tar.gz