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99a63044e63f7d7aad2a8fc043b98abc40e94cd5 | 2,316 | py | Python | arc/utility_functions/batch_generator.py | stalhabukhari/ARC | a5efc44c3af0714e07a60204cc7c3a8ca19ef20e | [
"MIT"
] | null | null | null | arc/utility_functions/batch_generator.py | stalhabukhari/ARC | a5efc44c3af0714e07a60204cc7c3a8ca19ef20e | [
"MIT"
] | null | null | null | arc/utility_functions/batch_generator.py | stalhabukhari/ARC | a5efc44c3af0714e07a60204cc7c3a8ca19ef20e | [
"MIT"
] | 1 | 2022-03-18T10:55:57.000Z | 2022-03-18T10:55:57.000Z | """
batch_generator.py
"""
import os, random
import numpy as np
from PIL import Image
import tensorflow as tf
from tensorflow.keras.preprocessing.image import img_to_array, load_img
from tensorflow.keras.utils import to_categorical as tocat_fn
Image.LOAD_TRUNCATED_IMAGES = True
| 33.085714 | 109 | 0.664076 |
99a671af86b1c2e857176e3f38a594911c18081a | 337 | py | Python | setup.py | Alexander-Sovetsky/python-image | a8ea11423b453938a8804537b836d919eb8e5b93 | [
"MIT"
] | null | null | null | setup.py | Alexander-Sovetsky/python-image | a8ea11423b453938a8804537b836d919eb8e5b93 | [
"MIT"
] | null | null | null | setup.py | Alexander-Sovetsky/python-image | a8ea11423b453938a8804537b836d919eb8e5b93 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open('README.rst') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
setup(
name='python-image',
version='0.1.0',
description='project for OCT',
long_description=readme,
author='Alexander Sovetsky',
license=license,
packages=find_packages(exclude=('te... | 22.466667 | 49 | 0.738872 |
99a7afbbb47204c705de2e7ed32e0ae9dbea9c39 | 62 | py | Python | hello_world.py | deepti-anand/hello-world | 494fc16c416dc8fe25600d5830052343b70f2070 | [
"Apache-2.0"
] | null | null | null | hello_world.py | deepti-anand/hello-world | 494fc16c416dc8fe25600d5830052343b70f2070 | [
"Apache-2.0"
] | null | null | null | hello_world.py | deepti-anand/hello-world | 494fc16c416dc8fe25600d5830052343b70f2070 | [
"Apache-2.0"
] | null | null | null | print("hi")
print("Hello World") #print #diff
print("hellooo") | 20.666667 | 33 | 0.693548 |
99a891aedae6992a71d2251dfc4ff9348ce3d420 | 1,481 | py | Python | Examen_02_sim01/p4/p4.py | GuidoZalles/Computacion_para_Ingenieria | 2afc06784760ca07786396374397a32ac2c19a27 | [
"Apache-2.0"
] | null | null | null | Examen_02_sim01/p4/p4.py | GuidoZalles/Computacion_para_Ingenieria | 2afc06784760ca07786396374397a32ac2c19a27 | [
"Apache-2.0"
] | null | null | null | Examen_02_sim01/p4/p4.py | GuidoZalles/Computacion_para_Ingenieria | 2afc06784760ca07786396374397a32ac2c19a27 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 15 19:25:58 2022
@author: User
"""
direc = addres("santa Fe", "La Paz", "021","Bolivia")
profe = professor("Guido", "60584523", "zallesguido@gmail.com", "8000 bs", direc)
| 23.140625 | 94 | 0.602296 |
99a8aebcdbc0b31659e37d72e454787e67305614 | 663 | py | Python | names.py | EggSquishIt/mcserver | f9e98f100f7d1e4b9d4fc306ca33255619d5504f | [
"MIT"
] | 3 | 2020-08-29T13:33:30.000Z | 2020-10-03T15:40:30.000Z | names.py | EggSquishIt/mcserver | f9e98f100f7d1e4b9d4fc306ca33255619d5504f | [
"MIT"
] | 3 | 2020-10-10T17:06:19.000Z | 2020-11-14T15:21:26.000Z | names.py | EggSquishIt/mcserver | f9e98f100f7d1e4b9d4fc306ca33255619d5504f | [
"MIT"
] | 1 | 2020-10-10T13:09:27.000Z | 2020-10-10T13:09:27.000Z | import random
vowels = [
"a",
"au",
"o",
"e",
"i",
"u",
]
prefixes = [
"b",
"c",
"d",
"f",
"g",
"gh",
"h",
"k",
"l",
"m",
"n",
"p",
"qu",
"r",
"s",
"t",
"v",
"w",
"x",
"y",
"z"
]
suffixes = [
"b",
"c",
"cc",
"ck",
"d",
"dd",
"f",
"g",
"gh",
"h",
"i",
"k",
"l",
"ll",
"m",
"n... | 8.84 | 93 | 0.435897 |
99a8f1f1c93af08f3ec765e04d13a2b8d33dbbbd | 84 | py | Python | hello.py | bingle2400/cs3240-labdemo | 5dca6fd8f4c510aa5b06d7dd17e5204e0cc13ffc | [
"MIT"
] | null | null | null | hello.py | bingle2400/cs3240-labdemo | 5dca6fd8f4c510aa5b06d7dd17e5204e0cc13ffc | [
"MIT"
] | null | null | null | hello.py | bingle2400/cs3240-labdemo | 5dca6fd8f4c510aa5b06d7dd17e5204e0cc13ffc | [
"MIT"
] | null | null | null |
from helper import reeting
if __name__ == "__main__":
reeting("hello")
| 9.333333 | 26 | 0.630952 |
99a903a06e260b2c7198a42a0a29f263e277358e | 245 | py | Python | attempt.py | hoshen20-meet/meet2018y1lab6 | 68e70de443eba980b1de8b865eea8337aa82e6d3 | [
"MIT"
] | null | null | null | attempt.py | hoshen20-meet/meet2018y1lab6 | 68e70de443eba980b1de8b865eea8337aa82e6d3 | [
"MIT"
] | null | null | null | attempt.py | hoshen20-meet/meet2018y1lab6 | 68e70de443eba980b1de8b865eea8337aa82e6d3 | [
"MIT"
] | null | null | null | import turtle
colors = ['green','blue','orange', 'red']
turtle.speed(900)
for i in range(99999999):
turtle.pencolor(colors[i%4])
turtle.bgcolor('black')
turtle.forward(i)
turtle.degrees()
turtle.right(70)
| 13.611111 | 41 | 0.608163 |
99a9c7e2da4c504b1d30c8fa7fb339aa5d8ceae5 | 4,444 | py | Python | nr_common/image_utils/image_utils_caffe.py | nitred/nr-common | f251e76fe10cb46f609583922d485013f5cba92b | [
"MIT"
] | null | null | null | nr_common/image_utils/image_utils_caffe.py | nitred/nr-common | f251e76fe10cb46f609583922d485013f5cba92b | [
"MIT"
] | 1 | 2018-01-07T19:03:35.000Z | 2018-01-07T19:03:35.000Z | nr_common/image_utils/image_utils_caffe.py | nitred/nr-common | f251e76fe10cb46f609583922d485013f5cba92b | [
"MIT"
] | 1 | 2018-09-20T02:31:18.000Z | 2018-09-20T02:31:18.000Z | """Utility functions."""
import numpy as np
def caffe_load_image(image_filename):
"""Load image using caffe.io.load_image.
This is to maintain shape expectation across the caffe library.
Args:
image_filename (str): String filename.
Returns:
numpy.ndarray: an image with the following... | 37.982906 | 103 | 0.685419 |
99aa9d14b3d5ad7bbef547b6bdc0baea743dd41e | 1,183 | py | Python | ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py | block1o1/CryptoPredicted | 7f660cdc456fb8252b3125028f31fd6f5a3ceea5 | [
"MIT"
] | 4 | 2021-10-14T21:22:25.000Z | 2022-03-12T19:58:48.000Z | ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py | inevolin/CryptoPredicted | 7f660cdc456fb8252b3125028f31fd6f5a3ceea5 | [
"MIT"
] | null | null | null | ENV/lib/python3.5/site-packages/pyrogram/session/internals/msg_id.py | inevolin/CryptoPredicted | 7f660cdc456fb8252b3125028f31fd6f5a3ceea5 | [
"MIT"
] | 1 | 2022-03-15T22:52:53.000Z | 2022-03-15T22:52:53.000Z | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2018 Dan Ts <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free So... | 32.861111 | 74 | 0.690617 |
99ab42eab96ab3c16d101146330c97b44958c97a | 66 | py | Python | configs/garbage/test_lr0.1_1x.py | zhanggefan/mmdet-yolov4 | fe544b1a94c24e8abdb13bc2e4ca664854aa86a7 | [
"Apache-2.0"
] | 16 | 2021-01-21T06:52:28.000Z | 2022-03-30T09:17:16.000Z | configs/garbage/test_lr0.1_1x.py | zhanggefan/mmdet-yolov4 | fe544b1a94c24e8abdb13bc2e4ca664854aa86a7 | [
"Apache-2.0"
] | 2 | 2021-06-18T14:32:34.000Z | 2021-09-13T15:52:16.000Z | configs/garbage/test_lr0.1_1x.py | zhanggefan/mmdet-yolov4 | fe544b1a94c24e8abdb13bc2e4ca664854aa86a7 | [
"Apache-2.0"
] | 8 | 2020-12-22T21:54:10.000Z | 2022-03-30T09:17:15.000Z | _base_ = './config_base/garbage_ddp.py'
optimizer = dict(lr=0.1)
| 16.5 | 39 | 0.712121 |
41d445f8f3d6e55aedb38945121914b577aa660c | 1,967 | py | Python | CNN using tensorflow.py | Highcourtdurai/Deep-learning | b9aed4f0973709ce407006311cef28a7a183787f | [
"Apache-2.0"
] | null | null | null | CNN using tensorflow.py | Highcourtdurai/Deep-learning | b9aed4f0973709ce407006311cef28a7a183787f | [
"Apache-2.0"
] | null | null | null | CNN using tensorflow.py | Highcourtdurai/Deep-learning | b9aed4f0973709ce407006311cef28a7a183787f | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
#Fasion mnist=data of accesories like boats,dresses,bags etc
fashion_mnist=tf.keras.datasets.fashion_mnist
(train_images,train_labels),(test_images,test_labels)=fashion_mnist.load_data()
print(train_images.shape)
print(train_lab... | 27.704225 | 142 | 0.734621 |
41d44b79dc2869fa41ba2410af3f958c1f765b2a | 1,489 | py | Python | Assignment-2/visualization.py | LuciFR1809/DAA-Assignments | 0f2faaf2f545cb81da8c86bdd370646694c2c756 | [
"BSD-3-Clause"
] | null | null | null | Assignment-2/visualization.py | LuciFR1809/DAA-Assignments | 0f2faaf2f545cb81da8c86bdd370646694c2c756 | [
"BSD-3-Clause"
] | null | null | null | Assignment-2/visualization.py | LuciFR1809/DAA-Assignments | 0f2faaf2f545cb81da8c86bdd370646694c2c756 | [
"BSD-3-Clause"
] | null | null | null | ##
# @file visualization.py
# @brief Python file for visualization of the testcase.
# Contains the driver code for reading the file and plotting it.
#
# @authors Kumar Pranjal 2018A7PS0163H
# @authors Ashna Swaika 2018A7PS0027H
# @authors Abhishek Bapna 2018A7PS0184H
# @authors Ashish Verma 2018A7PS0009H
# Im... | 30.387755 | 100 | 0.584285 |
41d4b3a8528e092d2bed2da155c8fbd1a073ab7d | 869 | py | Python | test/test_signal.py | dabercro/dynamo-consistency | f37dfebe781a833e9ae30869d8f57be79b4f583c | [
"MIT"
] | null | null | null | test/test_signal.py | dabercro/dynamo-consistency | f37dfebe781a833e9ae30869d8f57be79b4f583c | [
"MIT"
] | 1 | 2018-02-20T21:21:14.000Z | 2018-02-20T21:21:14.000Z | test/test_signal.py | dabercro/dynamo-consistency | f37dfebe781a833e9ae30869d8f57be79b4f583c | [
"MIT"
] | 2 | 2018-06-25T11:27:45.000Z | 2021-05-13T20:32:36.000Z | #! /usr/bin/env python
# This is to allow operators to disable a site and separately
# kill the process without un-disabling the site
import unittest
from dynamo_consistency import signaling
from dynamo_consistency import summary
from dynamo_consistency import main
from dynamo_consistency import picker
import base
... | 25.558824 | 68 | 0.728423 |
41d4ddc8906709d7184306ba4ee3569b358c67bc | 2,359 | py | Python | scripts/oscar_exclusive_data_format.py | codemechanic/oscar-sysex-grammar | 88b841ee7d54a859df6de9bfa5c7a4f87bae3afd | [
"MIT"
] | null | null | null | scripts/oscar_exclusive_data_format.py | codemechanic/oscar-sysex-grammar | 88b841ee7d54a859df6de9bfa5c7a4f87bae3afd | [
"MIT"
] | null | null | null | scripts/oscar_exclusive_data_format.py | codemechanic/oscar-sysex-grammar | 88b841ee7d54a859df6de9bfa5c7a4f87bae3afd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This script is intended to be run from within the OSCar MIDI Sysex Grammar file
# OSCar Exclusive Data Format
#
# 2 MIDI bytes contain one byte of data
# first byte contains low 4 bit nibble
# second byte contains high 4 bit nibble
#
# 0 8 16
# +-+-+-+-+-+-+-+-+ +-... | 29.123457 | 81 | 0.660449 |
41d5649317c085f8985b97148521c85447459436 | 38 | py | Python | yeelight/version.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | yeelight/version.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | yeelight/version.py | kmohrf/python-yeelight | 483019c074556b4c3d2f665398f0fc308afd6274 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | # flake8: noqa
__version__ = "0.5.0"
| 9.5 | 21 | 0.631579 |
41d697a0f4888c1996ea9e1ef9843309eaf50ff0 | 2,744 | py | Python | tremana/analysis/transformations.py | s-weigand/tremana | 98a8a546c79ce4f248b3955da21374edfdd61dee | [
"Apache-2.0"
] | 1 | 2022-03-07T02:52:25.000Z | 2022-03-07T02:52:25.000Z | tremana/analysis/transformations.py | s-weigand/tremana | 98a8a546c79ce4f248b3955da21374edfdd61dee | [
"Apache-2.0"
] | 9 | 2021-04-26T07:08:27.000Z | 2022-03-28T07:23:31.000Z | tremana/analysis/transformations.py | s-weigand/tremana | 98a8a546c79ce4f248b3955da21374edfdd61dee | [
"Apache-2.0"
] | null | null | null | """Transformations to be used on tremor accelerometry data (e.g.: FFT)."""
from __future__ import annotations
from typing import Iterable
import numpy as np
import pandas as pd
from scipy.signal import periodogram
def fft_spectra(
input_dataframe: pd.DataFrame,
columns: Iterable[str] | None = None,
samp... | 31.181818 | 86 | 0.662901 |
41d69abf160b8ce1e4074dd51d9496b0510b87af | 12,633 | py | Python | Prod_CV_NLP_API/flask/app.py | micintron/computer_vission_OCR | 1fdd521b334f6e5958958ccf816341531b783a21 | [
"CNRI-Python"
] | 1 | 2021-02-25T09:52:46.000Z | 2021-02-25T09:52:46.000Z | Prod_CV_NLP_API/flask/app.py | micintron/computer_vission_OCR | 1fdd521b334f6e5958958ccf816341531b783a21 | [
"CNRI-Python"
] | null | null | null | Prod_CV_NLP_API/flask/app.py | micintron/computer_vission_OCR | 1fdd521b334f6e5958958ccf816341531b783a21 | [
"CNRI-Python"
] | null | null | null | """ API to grab text content from images ID's and pdf's.
Endpoints
---------
* GET /: root: shows api info to new users on run
* POST /: convert_pdf_to_image: converts a pdf doc to an image for processing
* POST /: passport: extracts target text based information from pasport
* POST /:... | 27.887417 | 181 | 0.576269 |
41d72f12694e72053874661915e1331274883431 | 5,540 | py | Python | py/umpire/server/service/multicast_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 3 | 2022-01-06T16:52:52.000Z | 2022-03-07T11:30:47.000Z | py/umpire/server/service/multicast_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | null | null | null | py/umpire/server/service/multicast_unittest.py | arccode/factory | a1b0fccd68987d8cd9c89710adc3c04b868347ec | [
"BSD-3-Clause"
] | 1 | 2021-10-24T01:47:22.000Z | 2021-10-24T01:47:22.000Z | #!/usr/bin/env python3
#
# Copyright 2021 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
import unittest
from unittest import mock
from cros.factory.umpire.server.service import multicast
from cros.factory.u... | 34.197531 | 80 | 0.687545 |
41da78eeb82897161300840746eef404c63146f0 | 7,485 | py | Python | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | 2 | 2020-02-01T14:59:15.000Z | 2021-11-03T12:39:10.000Z | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | 5 | 2019-01-26T11:58:58.000Z | 2019-08-31T08:16:59.000Z | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | null | null | null | # pylint: disable=missing-docstring
import io
import unittest
import farbfeld
| 30.303644 | 76 | 0.501536 |
41dae6ca6afa36e98373f82982a75e2c50d8cc74 | 571 | py | Python | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
import csv
import numpy as np
tests = loadTestData()
for i in range(len(tests)):
with open('./extract_tdata/line_%d.txt'%i, 'w') as file:
file.write("\n".join(str(e) for e in tests[i].reshape(28,28)))
| 24.826087 | 70 | 0.595447 |
41dc7c7b8b8afe1b3ff6333c9f01816fc91e0652 | 54,070 | py | Python | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 98 | 2015-01-01T12:46:05.000Z | 2022-02-13T14:17:36.000Z | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 46 | 2015-02-10T19:53:38.000Z | 2022-01-11T17:26:05.000Z | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 38 | 2015-01-08T17:00:34.000Z | 2022-03-04T05:15:22.000Z | from __future__ import print_function, division
import unittest
import os
# plt.errorbar(x, y, yerr=yerr, fmt='b.')
# plt.plot(x, restrictedModel, 'r--', label="Restricted")
# plt.plot(x, unrestrictedModel, 'g--', label="Unrestricted")
# plt.legend()
# plt.show()
# ta.plotTraceHist('mu')
... | 32.435513 | 103 | 0.597263 |
41de05126656eb0665e6b6dd493d706236d85602 | 2,905 | py | Python | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
"""
This script, to be used by VM 0, sends a configuration
message to the virtual switch to create a particular
tagging and shaping rule.
Author: Amaury Van Bemten <amaury.van-bemten@tum.de>
"""
from scapy.all import *
import sys
# import scapy config
from scapy.all import conf as scapyconf
# dis... | 40.915493 | 161 | 0.683649 |
41df73d109c0b036f4dc5a0fd33804ce5856c662 | 1,351 | py | Python | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | # _versioninfo.py
#
# gets the version number from the package info
# checks it agains the github version
import sys
from pkg_resources import get_distribution, parse_version
try:
_dist = get_distribution('radSeqAmp')
version_num = _dist.version
except:
version_num = 'Please install this project with setup... | 40.939394 | 123 | 0.763138 |
41df8366d44990c149549ad5a6aecb5e9bc2fcdb | 5,835 | py | Python | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from configuration.settings import Conf
from database.sql_connect import SQLDatabase
from KPIForecaster.forecaster import KPIForecaster
from datetime import datetime
import pandas as pd
import numpy as np
import time
import sys
import os.path
path = sys.argv[0].rsplit("/", 1)[0]
# Create config... | 35.150602 | 119 | 0.656041 |
41e2290afea8242f9b3ad627b8896fc8296f5d30 | 110 | py | Python | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | 11 | 2020-05-29T20:56:48.000Z | 2021-09-22T15:44:42.000Z | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | null | null | null | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | null | null | null | from basis.cli.services import auth
def logout():
"""Log out of your Basis account"""
auth.logout()
| 15.714286 | 39 | 0.663636 |
41e4a272d03b82c913d673af1e5e15ff825ef623 | 2,074 | py | Python | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
| 18.192982 | 57 | 0.486982 |
41e5525e7a720e9de54e83ab3802a2d8a16f8134 | 7,937 | py | Python | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 138 | 2018-11-28T21:42:44.000Z | 2022-03-30T17:26:35.000Z | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 36 | 2019-02-19T18:33:20.000Z | 2022-01-24T18:02:44.000Z | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 54 | 2018-12-06T05:47:32.000Z | 2022-02-21T22:01:01.000Z | ###########################################################################
#
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/l... | 32.528689 | 164 | 0.643442 |
41e5c2cff74537381853da7d7af093ed89964ce8 | 1,080 | py | Python | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | null | null | null | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | 3 | 2021-09-24T01:23:38.000Z | 2021-09-28T22:15:29.000Z | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | 1 | 2021-09-29T13:18:39.000Z | 2021-09-29T13:18:39.000Z | from unittest import mock, TestCase
from unittest.mock import Mock
from services.companies_match import CompaniesMatch
from services.mock import RESPONSE_MOCK
| 38.571429 | 85 | 0.730556 |
41e6ee84a456c6b5415e417d61175deacfc9d081 | 2,618 | py | Python | src/plot_weighted_graph.py | suning-opensource/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 18 | 2020-12-24T04:26:21.000Z | 2022-03-24T07:32:39.000Z | src/plot_weighted_graph.py | kiminh/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 1 | 2021-05-07T06:47:34.000Z | 2021-05-07T06:47:34.000Z | src/plot_weighted_graph.py | kiminh/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 8 | 2020-10-22T23:51:55.000Z | 2021-08-24T06:36:19.000Z | #!/usr/bin/env python
"""
==============
Weighted Graph
==============
An example using Graph as a weighted network.
"""
# Author: Aric Hagberg (hagberg@lanl.gov)
import matplotlib.pyplot as plt
import networkx as nx
if __name__ == "__main__":
import sys
sys.exit(main())
| 31.542169 | 151 | 0.559587 |
41ec186af56971b756995a21107e22571cd744ca | 1,980 | py | Python | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | import operator
import random
from src.domain.Individual import Individual
from src.util.AbstractGeneration import AbstractGeneration
'''
Seletor #2 - Mtodo de seleo por torneio
A seleo por torneio sorteia aleatoriamente dois indivduos e seleciona
para participar da prxima gerao aquele com melhor avaliao. Os melhore... | 35.357143 | 94 | 0.660101 |
41eda4e4dba365b6d5b2482768194356e609bc8f | 596 | py | Python | scraper/collect_image_stats/get_domains_and_urls.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 2 | 2019-12-11T05:50:39.000Z | 2021-12-06T12:28:40.000Z | scraper/collect_image_stats/get_domains_and_urls.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 19 | 2019-12-16T21:23:00.000Z | 2022-03-02T14:59:12.000Z | scraper/collect_image_stats/get_domains_and_urls.py | martin-galajda/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | null | null | null | import csv
| 22.923077 | 68 | 0.486577 |
41ee3ae8e8b92e612ac4608c7da1d0e996a06da5 | 3,583 | py | Python | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 2 | 2015-06-15T02:16:33.000Z | 2022-02-23T07:10:38.000Z | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 7 | 2016-05-13T06:39:45.000Z | 2016-05-20T02:55:31.000Z | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 4 | 2015-11-02T04:02:50.000Z | 2021-05-13T17:06:00.000Z | __author__ = 'nash.xiejun'
import os
| 44.234568 | 117 | 0.718113 |
41eef09d352b027d57f768a34a0d9c5369b206e4 | 1,919 | py | Python | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | #
# See the notes for the other physics sample
#
from pyfrc import wpilib
from pyfrc.physics import drivetrains
| 30.951613 | 91 | 0.593538 |
41efa0b1f23a58e01d79993abae419de0e29ae35 | 5,994 | py | Python | fonts/diamonstealth64_8x14.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | 6 | 2020-07-11T16:59:19.000Z | 2021-07-16T19:32:49.000Z | ports/esp32/user_modules/st7735_mpy/fonts/diamonstealth64_8x14.py | d4niele/micropython | a1f7b37d392bf46b28045ce215ae899fda8d8c38 | [
"MIT"
] | 1 | 2020-04-14T03:14:45.000Z | 2020-04-14T03:14:45.000Z | fonts/diamonstealth64_8x14.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | null | null | null | """converted from ..\fonts\DiamonStealth64_8x14.bin """
WIDTH = 8
HEIGHT = 14
FIRST = 0x20
LAST = 0x7f
_FONT =\
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x18\x3c\x3c\x3c\x18\x18\x00\x18\x18\x00\x00\x00\x00'\
b'\x66\x66\x66\x24\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x6c\x6c\xfe\x6c\x6... | 57.085714 | 60 | 0.704705 |
41efccef82f28d187c0597489e64c7649630dd85 | 864 | py | Python | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | 2 | 2019-12-03T05:29:35.000Z | 2020-01-19T19:22:11.000Z | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | null | null | null | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | null | null | null |
main()
| 22.153846 | 78 | 0.586806 |
41f244af008573d038af8edc1801e70f08cd96ac | 1,730 | py | Python | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | import torch
EPS = 1e-32
if __name__ == "__main__":
torch.manual_seed(10)
w_1 = torch.ones(10)*100-50
w_r = torch.rand(10)*100-50
w_s = torch.Tensor([1e-4, -1e-4, 1e-4, -1e-4, 1e-5, -1e-5, 1e-6, -1e-6, 1e-8, -1e-8])
w_w = 10**torch.arange(0, -10, -1).float()
w_0 = torch.zeros(10)
w_z... | 23.69863 | 89 | 0.509249 |
41f5bd3c227b6e90d9957fe3e9834571a6c5a926 | 2,010 | py | Python | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | null | null | null | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | 1 | 2020-04-24T10:19:24.000Z | 2020-04-24T10:19:24.000Z | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | null | null | null | #
# ( ):
log_file_name = 'log'
# 1
# #
with open(log_file_name, 'r', encoding='utf-8') as text_file:
max_date_str = ''
#
for line in text_file:
if line[:23] > max_date_str[:23]: max_date_str = line
#
print(" 1")
print(max_date_str)
# 2
#
log_file_name = 'log'
# re... | 31.904762 | 107 | 0.678109 |
41f650c872145facc783efbfb2b0dadcd4920f2a | 18,278 | py | Python | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | 4 | 2018-04-21T15:43:50.000Z | 2018-07-10T17:11:31.000Z | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | null | null | null | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | 1 | 2018-04-08T03:00:06.000Z | 2018-04-08T03:00:06.000Z | # -*- coding: utf-8 -*-
"""Data-storage containers for internal use."""
import copy
import math
from collections import OrderedDict, deque
from enum import IntEnum
from random import random
from typing import Dict, List, NamedTuple, Union, Tuple, Deque
from .config import (BASE_FREQUENCY, PSG_SQUARE_FREQUENCY, PSG_SQU... | 28.875197 | 80 | 0.585239 |
41f7aa5d337d6a6a04c73fadceef0f5775c6ce5a | 4,076 | py | Python | examples/manifold/plot_swissroll.py | jlopezNEU/scikit-learn | 593495eebc3c2f2ffdb244036adf57fab707a47d | [
"BSD-3-Clause"
] | 50,961 | 2015-01-01T06:06:31.000Z | 2022-03-31T23:40:12.000Z | examples/manifold/plot_swissroll.py | ashutoshpatelofficial/scikit-learn | 2fc9187879424556726d9345a6656884fa9fbc20 | [
"BSD-3-Clause"
] | 17,065 | 2015-01-01T02:01:58.000Z | 2022-03-31T23:48:34.000Z | examples/manifold/plot_swissroll.py | ashutoshpatelofficial/scikit-learn | 2fc9187879424556726d9345a6656884fa9fbc20 | [
"BSD-3-Clause"
] | 26,886 | 2015-01-01T00:59:27.000Z | 2022-03-31T18:03:23.000Z | """
===================================
Swiss Roll And Swiss-Hole Reduction
===================================
This notebook seeks to compare two popular non-linear dimensionality
techniques, T-distributed Stochastic Neighbor Embedding (t-SNE) and
Locally Linear Embedding (LLE), on the classic Swiss Roll dataset.
Then... | 33.966667 | 86 | 0.692345 |
41f7f839e3be35c24720ab38c662be95d99e2886 | 2,044 | py | Python | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_IMF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | 1 | 2021-09-21T21:53:17.000Z | 2021-09-21T21:53:17.000Z | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_INF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | null | null | null | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_INF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | null | null | null | '''
Author: JIANG Yilun
Date: 2021-12-01 13:01:29
LastEditTime: 2021-12-01 13:30:06
LastEditors: JIANG Yilun
Description:
FilePath: /INF_101/INF101/TP/TP9/2.9.3.py
'''
import random
dictionnaire = {'pomme': 'apple', 'orange': 'orange', 'banane': 'banana'}
nombre_round = int(input("Entrez le nombre de round: "))... | 29.623188 | 103 | 0.666341 |
41f845926aa3ec217a14d9100d2e6f115eb277d1 | 322 | py | Python | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-30T16:24:46.000Z | 2021-11-30T16:24:46.000Z | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 4 | 2021-11-29T13:57:56.000Z | 2022-03-29T06:28:36.000Z | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-23T09:25:45.000Z | 2021-11-23T09:25:45.000Z | import FWCore.ParameterSet.Config as cms
LowPtTrimuonPSet = cms.PSet(
hltPathsToCheck = cms.vstring(
),
recMuonLabel = cms.InputTag("muons"),
# -- Analysis specific cuts
minCandidates = cms.uint32(3),
# -- Analysis specific binnings
parametersDxy = cms.vdouble(50, -2.500, 2.500),
... | 26.833333 | 56 | 0.65528 |
41fa41d8007e097936f791c465cb628fb82b64ed | 3,021 | py | Python | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | import copy
import mock
import unittest
from see import Hook
from see import hooks
CONFIG = {
"configuration": {"key": "value"},
"hooks": [
{
"name": "see.test.hooks_manager_test.TestHook",
"configuration": {"foo": "bar"},
},
{"name": "see.test.hooks_manager_te... | 31.14433 | 83 | 0.64482 |
41fa5f1eb0cd72600e9f03de9938096cc411d598 | 538 | py | Python | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | null | null | null | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | 12 | 2018-12-01T12:41:36.000Z | 2022-03-11T23:35:55.000Z | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | 1 | 2018-12-01T16:41:13.000Z | 2018-12-01T16:41:13.000Z | # Generated by Django 2.0.2 on 2018-12-01 21:30
from django.db import migrations, models
| 22.416667 | 73 | 0.565056 |
41fab0cdfc218549b2a3694e2626d8da1755a58e | 10,467 | py | Python | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 25 | 2019-06-12T21:08:24.000Z | 2022-03-01T08:05:14.000Z | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 2 | 2020-04-23T14:08:00.000Z | 2020-06-04T13:52:44.000Z | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 24 | 2019-06-12T19:48:40.000Z | 2022-02-16T03:42:53.000Z | """ Analyze MCMC output - chain length, etc. """
# Built-in libraries
from collections import OrderedDict
import datetime
import glob
import os
import pickle
# External libraries
import cartopy
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.pyplot import MaxNLocator
from matplotlib.lines impo... | 41.868 | 123 | 0.651572 |
41fc333b33ca8b6f1db8177902d0d972f89bd8ec | 3,233 | py | Python | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | # Generated by Django 2.2.16 on 2021-04-01 20:23
import corehq.util.models
from django.db import migrations, models
| 44.902778 | 110 | 0.62759 |
5100323735b98828e50f67b34742d19a272551ac | 6,781 | py | Python | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | from app.domains.entities.role import Role
from app.domains.entities.user import User
from app.domains.entities.user_role import UserRole
from app.schemas.user import UserCreateSchema
from tests.conftest import DbFixtureType
SQLALCEMY_DATABASE_URL = "sqlite:///./test.db"
| 29.354978 | 80 | 0.663766 |
510071411b69aed8738cceefd50874bfee413c3c | 146 | py | Python | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | a = "HACKTOBERFEST"
# reverse by slicing inverse
print(a[::-1])
# reverse text
b = "I Love Fosti"
b = b.split(" ")[::-1]
print(" ".join(b)) | 10.428571 | 28 | 0.575342 |
5100b17784b04cdb6c2f4076aaca2a9b3a839c93 | 56,140 | py | Python | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | import math
import random
import json
import copy
from tkinter.constants import COMMAND
from zipfile import ZipFile
import PIL.Image
from PIL import ImageTk
import tkinter as tk
from tkinter import ttk, font, messagebox
from ttkthemes import ThemedStyle
from tooltip import *
from event_manager import EventManager
fro... | 48.271711 | 159 | 0.59658 |
51033cdbbaedcb29f8ed65dc37e4cdc367f17763 | 1,411 | py | Python | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | """
RSI CALCULATION
The very first calculations for average gain and average loss are simple n-period averages:
First Average Gain = Sum of Gains over the past n periods / n.
First Average Loss = Sum of Losses over the past n periods / n
The second, and subsequent, calculations are based on the prior average... | 34.414634 | 114 | 0.66832 |
51040493dd07307ebedc78ed9f4e2afac76edbf4 | 1,394 | py | Python | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 456 | 2019-06-11T15:48:52.000Z | 2022-03-28T06:44:10.000Z | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 18 | 2019-06-13T19:33:24.000Z | 2022-02-27T21:31:26.000Z | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 62 | 2019-06-12T10:11:14.000Z | 2022-03-29T07:31:09.000Z | # coding:utf-8
from docutils import nodes, utils
from sphinx.util.nodes import split_explicit_title
from sphinx import addnodes
from sphinx.writers.latex import LaTeXTranslator
from six import u
def numdoc_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
"""Role for making latex ref to the doc h... | 33.190476 | 78 | 0.652798 |
51047009ea571a8e1f957cb448ebd1d72b071fc4 | 2,679 | py | Python | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 5 | 2020-11-04T14:29:37.000Z | 2022-02-23T20:33:07.000Z | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 3 | 2021-07-23T18:48:48.000Z | 2022-03-15T14:59:07.000Z | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 8 | 2020-04-14T09:22:53.000Z | 2022-03-11T10:46:06.000Z | """
redirect.py
Representation of Bandwidth's redirect BXML verb
@copyright Bandwidth INC
"""
from lxml import etree
from .base_verb import AbstractBxmlVerb
REDIRECT_TAG = "Redirect"
| 41.215385 | 103 | 0.695035 |
5105155b27194145a1c2533733e5d9490dd7a885 | 132 | py | Python | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | from . import grid, lif, neighbors, ragged, utils
__all__ = [
"grid",
"utils",
"ragged",
"neighbors",
"lif",
]
| 13.2 | 49 | 0.537879 |
5106aa713d6626d3d954ada527f0fad7a1c15261 | 1,872 | py | Python | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Local
import weio
import welib.fast.fastlib as fastlib
# --- Reference simulations OmniVor / AWSM
ref20 = weio.read('AnalyticalResults/Elliptic_NumReference20.csv').toDataFrame()
ref40 = weio.read('AnalyticalResults/Elliptic_NumReference40.csv'... | 39 | 128 | 0.631944 |
510acc236531ba47fd115389b56d91a1e8269505 | 15,135 | py | Python | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import os
import pandas as pd
from pandas.api.types import CategoricalDtype
__all__ = ['diamonds', 'economics', 'economics_long',
'midwest', 'mpg', 'msleep', 'presidential',
'seals', 'txhousing', 'luv_colours',
... | 29.331395 | 78 | 0.611034 |
510be31bb9c422b20d34df7cba9b6a88cf0c6ddf | 235 | py | Python | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | null | null | null | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | 1 | 2015-05-31T10:42:36.000Z | 2015-11-03T17:52:06.000Z | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | null | null | null | from userena.forms import EditProfileForm
from userena import views as userena_views | 39.166667 | 59 | 0.834043 |
510ca732ab0febae2e491cf6527efb03bb28960e | 2,400 | py | Python | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | 1 | 2021-09-19T11:47:44.000Z | 2021-09-19T11:47:44.000Z | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | null | null | null | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | null | null | null | #importing all the tkinter modules.
from tkinter import *
from tkinter import messagebox
from PIL import Image, ImageTk
import mysql.connector as sql
win = Tk()
#defining basic geometry and characteristics of the window.
win.geometry("1000x700")
image = Image.open('SignUpImage.png')
photo_image = ImageTk.Pho... | 25.806452 | 101 | 0.635833 |
510ef8a7510ae1de9af9073513790cd07023ac0b | 26,324 | py | Python | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | # module to evaluate the property dictionary
import json
# global variable for the path to the dictionary
path_to_json_dictionary = "data/property_dictionary.json"
# overload method
#
# recommended == true
# query only those references or qualifiers, that are intended by Wikidata
# .. for References: these are prop... | 48.83859 | 128 | 0.584334 |
510f0704162b83a55e2da583192211cbda73f8f2 | 2,987 | py | Python | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | 3 | 2018-07-29T17:31:58.000Z | 2019-06-27T10:36:34.000Z | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | null | null | null | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | 1 | 2019-02-18T02:27:39.000Z | 2019-02-18T02:27:39.000Z | # coding=utf-8
import os
import random
import sys
conv_path = 'dgk_shooter_min.conv'
if not os.path.exists(conv_path):
print('')
exit()
#
"""
E
M ////
M /////////
M ////////////
E
M /////////
M //////////
M ////////
M ////////
M ///////////
M /////
M ///////
M //////
M /////
M ///////
M //////////////
M //... | 24.08871 | 153 | 0.546368 |
510f5b8577eceaa2d67a2069c8c286b003c41202 | 2,371 | py | Python | rescape_region/models/project.py | calocan/rescape-region | 8cb0c4d5e2f4c92939eb9a30473808decdb4bef2 | [
"MIT"
] | 1 | 2021-05-08T12:04:23.000Z | 2021-05-08T12:04:23.000Z | rescape_region/models/project.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | 15 | 2021-04-06T18:05:04.000Z | 2022-03-12T00:22:35.000Z | rescape_region/models/project.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | null | null | null | import reversion
from django.contrib.auth import get_user_model
from django.contrib.gis.db.models import SET_NULL, CASCADE, Q
from django.db.models import (
CharField,
ForeignKey, ManyToManyField, UniqueConstraint)
from django.db.models import JSONField
from safedelete.models import SafeDeleteModel
from rescap... | 45.596154 | 117 | 0.710671 |
510fb73823084b9ff3de955296518a2eb7c922e4 | 540 | py | Python | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | 5 | 2016-06-02T04:52:11.000Z | 2018-08-01T20:05:37.000Z | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | null | null | null | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
"""
TBW
"""
from __future__ import absolute_import
from __future__ import print_function
import io
__author__ = "Alberto Pettarin"
__copyright__ = "Copyright 2016, Alberto Pettarin (www.albertopettarin.it)"
__license__ = "MIT"
__email__ = "alberto@albertopettarin.it"
__version__... | 20.769231 | 75 | 0.748148 |
510fcdad15a6c8447153e32692aae7694f685210 | 2,456 | py | Python | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | from test.BaseCase import BaseCase
| 30.7 | 86 | 0.506107 |
51106aa7bc640784a651d3a06d5663b7d7680ea4 | 2,834 | py | Python | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | 1 | 2018-07-10T07:03:12.000Z | 2018-07-10T07:03:12.000Z | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | null | null | null | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:copyright: (c) 2015 by the xxxxx Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import, print_function
from hubot.utils.mesos import clean_container_path
| 30.473118 | 104 | 0.623853 |
511493f52cb1eeb1e8430922732560c6965e53e7 | 5,069 | py | Python | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 28 | 2017-07-19T19:02:56.000Z | 2022-01-11T10:40:06.000Z | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 253 | 2018-02-10T22:22:16.000Z | 2022-03-27T18:43:17.000Z | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 10 | 2018-02-21T06:41:30.000Z | 2022-02-20T12:18:46.000Z | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.model_selection import StratifiedKFold
from sklearn import linear_model
from... | 44.858407 | 79 | 0.64924 |
5116e871b3a1ab4846b46b9fec5ed8c06b14c048 | 3,001 | py | Python | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 303 | 2020-08-27T06:59:55.000Z | 2022-03-18T17:50:16.000Z | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 4 | 2020-12-01T15:06:46.000Z | 2021-11-10T17:38:19.000Z | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 11 | 2020-11-08T01:52:30.000Z | 2021-10-03T18:45:45.000Z | # encoding=utf-8
import os
import time
import fire
from typing import List
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from nltk.translate.bleu_score import sentence_bleu
def load_data(path):
"""load lines from a file"""
with open(path, 'r... | 35.305882 | 96 | 0.671776 |
51183bc6bdbf292c7756f837673e942a502dd193 | 237 | py | Python | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | null | null | null | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | 3 | 2021-09-08T01:49:02.000Z | 2022-03-12T00:21:18.000Z | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | null | null | null | """Top-level package for Torch Traps."""
__author__ = """Zac Winzurk"""
__email__ = 'zwinzurk@asu.edu'
__version__ = '0.1.0'
# from .coco_camera_traps_loader import *
# from .imagenet import imagenet_classes
# from .lightning import *
| 23.7 | 41 | 0.725738 |
511bd43634ea3f540136626b6213102cf02c3ef9 | 7,711 | py | Python | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | null | null | null | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | 3 | 2020-02-26T00:07:53.000Z | 2022-02-26T05:18:31.000Z | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | null | null | null |
import sys
import time
import threading
import platform
import subprocess
import os
try:
if platform.system() == 'Windows':
import win32console
# TODO: we should win32console anyway so we could just omit colorama
import colorama
colorama.init()
except ModuleNotFoundError:
print... | 33.672489 | 114 | 0.611983 |
51201b8f267ec7a2dece0fc4da0d42b14f47ffba | 2,720 | py | Python | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null |
matrix = []
lines = open('real','r').readlines()
for line in lines:
row = []
l = line.strip()
for i in range(len(l)):
row.append(int(l[i]))
matrix.append(row)
positions = search_low(matrix)
total = 0
for p in positions:
valor = matrix[p[0]][p[1]] + 1
total += valor
print(total... | 30.561798 | 124 | 0.516176 |
51219e777435d891fa05113f0da030e18ce7d68a | 4,364 | py | Python | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | import os
import sys
import itertools
import cv2
# Seq: A-Z, a-z, 0-9, SPECIAL_CHARS
ALL_CHARS = list(
itertools.chain(
range(65, 91),
range(97, 123),
range(48, 58),
[ord(i) for i in ".,;:!?\"'-+=/%&()[]"],
)
)
| 36.366667 | 104 | 0.592117 |
5121b7e379746aac2a670977c3fda4d01dade4a4 | 1,261 | py | Python | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | 1 | 2021-12-02T18:28:28.000Z | 2021-12-02T18:28:28.000Z | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | null | null | null | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
DATA_INPUT_LOCATION = "data.in"
day = Day(DATA_INPUT_LOCATION)
print(day.part1())
print(day.part2()) | 32.333333 | 109 | 0.569389 |
5121cc545c9a55cdbb8d25e3c6ef3ab3548b3342 | 849 | py | Python | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 160 | 2018-06-13T23:16:26.000Z | 2022-03-11T21:26:44.000Z | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 164 | 2018-07-08T13:05:30.000Z | 2021-09-30T08:54:59.000Z | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 41 | 2018-08-07T08:05:30.000Z | 2021-12-18T04:34:06.000Z | from dataflows import PackageWrapper, ResourceWrapper
from ..helpers.resource_matcher import ResourceMatcher
| 26.53125 | 62 | 0.599529 |
512428cd6c69268176ef05fa7a8650131e018089 | 563 | py | Python | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | # encoding: utf-8
#
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Author: Kyle Lahnakoski (kyle@lahnakoski.com)
#
from __future__ import absolute_import, divis... | 20.107143 | 75 | 0.694494 |
51277cbf373e68b6520295ae14d8965cded5385d | 158 | py | Python | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | 3 | 2019-04-08T12:51:57.000Z | 2021-07-28T16:54:41.000Z | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | null | null | null | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | 1 | 2019-04-08T12:52:00.000Z | 2019-04-08T12:52:00.000Z | from django.urls import path
from .consumers import ChatConsumer
websocket_urlpatterns = [
path('ws/<str:room_name>/', ChatConsumer, name='consumer'),
]
| 22.571429 | 63 | 0.746835 |
5127e82ffefa06ac56296824a5c55b26831611d6 | 3,679 | py | Python | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | null | null | null | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | 11 | 2020-01-28T22:32:20.000Z | 2022-03-11T23:37:57.000Z | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | null | null | null | import argparse
from distutils.util import strtobool
import json
import os
import pickle
import tensorflow as tf
import numpy as np
from softlearning.policies.utils import get_policy_from_variant
from softlearning.samplers import rollouts
if __name__ == '__main__':
args = parse_args()
simulate_policy(args)... | 34.383178 | 109 | 0.589562 |
5128aaf3cd26118d6b07e1e07b47d69c770a4e85 | 79 | py | Python | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | default_app_config = "pathfinder.apps.PathfinderConfig"
__version__ = "0.1.0"
| 19.75 | 55 | 0.78481 |
51297e9b178ac6da2a46669f12b122f74df2ecf7 | 415 | py | Python | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | from settings.common import *
DEBUG=True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'mydatabase',
}
}
# Honor the 'X-Forwarded-Proto' header for request.is_secure()
SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')
# Allow all host headers
ALLOWED_HO... | 18.863636 | 62 | 0.684337 |
512a41bacb1cddefe094cb3758285c75286428d1 | 680 | py | Python | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-23 02:02
from __future__ import unicode_literals
from django.db import migrations, models
| 28.333333 | 199 | 0.598529 |
512cb58d8316e571507a93e75a64d19559f26b6b | 2,762 | py | Python | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 1 | 2020-11-29T23:00:27.000Z | 2020-11-29T23:00:27.000Z | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 18 | 2020-08-05T11:59:31.000Z | 2022-03-15T03:48:40.000Z | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | null | null | null | import re
import discord
from sqlalchemy import (
Column,
String,
BigInteger,
Integer,
Boolean,
update,
delete,
)
from sqlalchemy.ext.hybrid import hybrid_property
from models.base import Base, PendulumDateTime
from util import safe_mention
IMAGE_URL_REGEX = r"https?:\/\/.*\.(jpe?g|png|gi... | 30.351648 | 85 | 0.633599 |
512d55659640ebb6a556347baa4a333ef9d98192 | 1,478 | py | Python | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 15 | 2017-06-07T12:49:12.000Z | 2020-07-25T18:06:04.000Z | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 110 | 2016-06-21T23:20:44.000Z | 2022-02-24T16:15:22.000Z | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 6 | 2016-06-21T11:19:22.000Z | 2019-01-21T13:45:39.000Z | from seamless.highlevel import Context, Cell, Transformer
ctx = Context()
ctx.v = lambda a: 42
ctx.v.a = "test"
ctx.v_schema = Cell()
ctx.v_schema.celltype = "plain"
ctx.translate()
ctx.link(ctx.v.schema, ctx.v_schema)
ctx.translate()
ctx.v_schema.set({'type': 'object', 'properties': {'a': {'type': 'integer'}}})
ctx.c... | 28.423077 | 78 | 0.691475 |
512e099f596e3955243cf492631352af559a94af | 246 | wsgi | Python | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | 3 | 2019-01-16T14:01:20.000Z | 2019-09-29T14:16:26.000Z | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | null | null | null | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
from dotenv import load_dotenv
load_dotenv()
sys.path.insert(0, os.getenv('PASTR_PATH', 'App Path'))
from pastr import app as application
application.secret_key = os.getenv('SECRET_KEY', 'Secret Key') | 24.6 | 62 | 0.768293 |
512ea83053328520e513cb86e1b1a689945a30dc | 1,174 | py | Python | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 4 | 2018-10-11T09:48:39.000Z | 2019-11-12T06:17:17.000Z | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 26 | 2017-11-10T15:46:03.000Z | 2021-08-13T12:02:27.000Z | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 21 | 2017-10-12T11:47:37.000Z | 2021-05-05T13:07:59.000Z | from abc import ABCMeta, abstractmethod
| 26.088889 | 101 | 0.636286 |
5130a25d5ed3634e87ef47dcbe79178f60a2783b | 4,454 | py | Python | Desktop-App/UI-Based App/Result_MLP.py | EddieKaleb/CricAI | 2ce714c7dfe1495b9f579d87490ab40914670f02 | [
"MIT"
] | 9 | 2018-09-25T06:19:52.000Z | 2021-10-06T11:06:01.000Z | Desktop-App/UI-Based App/Result_MLP.py | govind-bisht03/CricAI | fa497197627ec769d9a9be6c9f1ddeab3c826f7e | [
"MIT"
] | 21 | 2017-11-23T19:44:29.000Z | 2020-10-17T11:26:46.000Z | Desktop-App/UI-Based App/Result_MLP.py | govind-bisht03/CricAI | fa497197627ec769d9a9be6c9f1ddeab3c826f7e | [
"MIT"
] | 29 | 2017-12-11T10:24:22.000Z | 2020-10-16T13:04:13.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Result_MLP.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
import CricAI_rc
if __name__ == "__main__":
import sys
app = QtWidget... | 44.989899 | 150 | 0.691513 |
51311102d9e729c7834446c830b3c543962cbf40 | 5,283 | py | Python | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import argparse
import os
import shutil
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import tensorflow as tf
from xray import model
slim = tf.contrib.slim
tf.logging.set_verbosity(tf.logging.INFO)
log = tf.logging
# cap... | 33.226415 | 113 | 0.658906 |
5133c8da0c788e7f385523bfdad1962d8bd3df18 | 280 | py | Python | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | 1 | 2021-08-17T08:14:47.000Z | 2021-08-17T08:14:47.000Z | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | null | null | null | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | 1 | 2021-08-17T08:14:48.000Z | 2021-08-17T08:14:48.000Z | # -*- coding: utf-8 -*-
"""Click commands."""
from flask_script import Manager
from flaskshop import random_data
import flaskshop
import flaskshop.commands as commands
app= flaskshop.create_app()
manager = Manager(app)
if __name__ == "__main__":
manager.run()
manager.se | 21.538462 | 37 | 0.735714 |
513455e1e49a2cc7f2af7ad92dbc3662b0e294bf | 761 | py | Python | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null |
input = [line.rstrip() for line in open('./inputs/day4.txt')]
badWords = 0
for line in input:
dictionary = {}
words = line.split(' ')
for word in words:
print(words)
if word in dictionary:
badWords = badWords + 1
break
dictionary[ word ] = 1
print(len(input) - badWords)
# ---- CHAL... | 21.742857 | 82 | 0.599212 |
513b7781461e774c4edea5cc00a442a4bd33ae7d | 51 | py | Python | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | from gym_voilier.envs.voilier_env import VoilierEnv | 51 | 51 | 0.901961 |
513c933b5d0724d79a4413fb53c8512d831f68a7 | 7,464 | py | Python | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.optim as optim
from prdataset import *
from torch.utils.data import DataLoader
from torchvision import transforms
import tqdm
from models import *
from inception_torch import InceptionV3
cuda = torch.cuda.is_availab... | 36.950495 | 143 | 0.624732 |
5141a9a0670c91a2b930b40b597fedf7c7054b49 | 8,906 | py | Python | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 6 | 2015-04-05T01:28:23.000Z | 2022-02-06T17:29:47.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-01-05T23:07:10.000Z | 2022-03-30T17:52:45.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-02-06T17:29:53.000Z | 2022-02-26T17:23:09.000Z | import os
# Path to your LambdaCast instance (no / behind the path)
try:
from local import ABSOLUTE_PATH
except ImportError:
ABSOLUTE_PATH = os.path.dirname(os.path.abspath(__file__)) + "/../.."
# Domain your instance should use, for example: 'http://example.com' (no / behind the path)
try:
from local imp... | 33.355805 | 126 | 0.717045 |
514411ea3d0032d20f78be6935784f8081b90d34 | 2,072 | py | Python | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | 1 | 2020-11-18T19:15:50.000Z | 2020-11-24T02:21:33.000Z | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | """Text Pre-processing.
This module process text messages based on Chen et al. (2019).
Added some steps (such as escaping HTML symbols, or having a more detailed list
of stop and negative words).
"""
import html
import re
import string
import pandas as pd
# Repeated chars more than 3 times
repeat_regex = r'(\w)\1{2... | 29.183099 | 79 | 0.642857 |
514491bebe24982f7e39bca4c4425c0e236edb60 | 2,062 | py | Python | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 6 | 2015-08-21T08:43:25.000Z | 2021-12-29T16:16:59.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2019-03-25T10:16:18.000Z | 2022-01-11T19:14:01.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2020-10-29T06:15:03.000Z | 2021-12-29T16:42:28.000Z | from PySide.QtGui import QDialog
from ..gui.brush_dialog import Ui_BrushDialog
from PySide.QtGui import QPixmap
from PySide.QtCore import Qt
from ..brushes import SquareBrush
import math
| 34.366667 | 79 | 0.679922 |
5144c4d72df0f27c405d9c186efa2f5400ee41ce | 332 | py | Python | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | """
Sebastin Salinas, CC3501, 6/05/20
Tarea1b
"""
# Importamos algunos modulos
import math
# Funcin para evaluar la colisin entre 2 objetos | 25.538462 | 77 | 0.665663 |
51457008bd685f3f5dea47108bc2573ac5535321 | 1,510 | py | Python | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | from json import JSONDecodeError
import requests
import sys
| 32.826087 | 141 | 0.609272 |
5146d58c84bb7104d16ee9a9d1a76b8231e89082 | 224 | py | Python | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | from nyaggle.experiment.experiment import Experiment, add_leaderboard_score
from nyaggle.experiment.averaging import average_results
from nyaggle.experiment.run import autoprep_gbdt, run_experiment, find_best_lgbm_parameter
| 56 | 90 | 0.892857 |
5146da738f04b9b9d8f97c34d071f17da9198bde | 794 | py | Python | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 1,128 | 2019-09-11T01:38:09.000Z | 2022-03-31T17:06:56.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 45 | 2019-09-11T05:39:53.000Z | 2021-12-05T17:52:07.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 185 | 2019-09-11T02:15:56.000Z | 2022-03-23T16:12:41.000Z |
_base_config_ = "base.py"
model_size = 512
model_url = "http://folk.ntnu.no/haakohu/checkpoints/step_42000000.ckpt"
models = dict(
scalar_pose_input=False,
max_imsize=128,
conv_size={
4: model_size,
8: model_size,
16: model_size,
32: model_size,
64: model_size//2,... | 18.465116 | 72 | 0.540302 |
514737538b6050cbe92637918e942f1823b10292 | 1,699 | py | Python | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 3 | 2019-07-09T08:51:20.000Z | 2019-09-16T17:27:54.000Z | server/weather/RestWeatherProvider.py | thomasw-mitutoyo-ctl/BIS | 08525cc12164902dfe968ae41beb6de0cd5bc411 | [
"MIT"
] | 24 | 2019-06-17T12:33:35.000Z | 2020-03-27T08:17:35.000Z | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 1 | 2020-03-24T17:54:07.000Z | 2020-03-24T17:54:07.000Z | import json
import logging
import threading
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
log = logging.getLogger(__name__)
| 30.339286 | 114 | 0.669806 |
5147aa629fe9091066db83d5ac4d5067803255bc | 359 | py | Python | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
from dotenv import load_dotenv
load_dotenv()
from config import StageConfig
from util import route
from util.commands import commands
else:
from .config import StageConfig
from .util import route
from .util.commands import commands
app = route(config=StageCo... | 22.4375 | 46 | 0.732591 |
51493c53717606761bb6b13240fa86406df2fac3 | 985 | py | Python | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | from django.test import TestCase
from . models import Post, Tag, Category
| 29.848485 | 119 | 0.73401 |
514976db1636eff4f1c2e435911894cc18620e2c | 1,531 | py | Python | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | 1 | 2019-03-17T11:26:36.000Z | 2019-03-17T11:26:36.000Z | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Recruit Communications Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 36.452381 | 98 | 0.665578 |
514a79000a503d03dd773bda6a965fb3b20a7db7 | 737 | py | Python | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | import re
import unicodedata
import nltk
from nltk.corpus import stopwords
import pandas as pd
def clean_words(text_DataFrame:pd.DataFrame):
"""
A simple function to clean up the data. All the words that
are not designated as a stop word is then lemmatized after
encoding and basic regex parsing are per... | 33.5 | 75 | 0.683853 |
514a92812de5f63e1e53a1ba432f40d277ebdbba | 780 | py | Python | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | from typing import Optional
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.python.distribute.tpu_strategy import TPUStrategy
| 32.5 | 75 | 0.694872 |
514b2ccf532fafc08943123f355c409988b89713 | 6,778 | py | Python | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 43.729032 | 121 | 0.627176 |