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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c2b4a1c07a03c84645790de2fd147b0a49af942 | 779 | py | Python | Python Files/Dataset_Formating/Audio_splicing.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | 1 | 2021-04-13T16:22:27.000Z | 2021-04-13T16:22:27.000Z | Python Files/Dataset_Formating/Audio_splicing.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | null | null | null | Python Files/Dataset_Formating/Audio_splicing.py | brennanMosher/Music-Genre-Recognition-using-a-Machine-Learning-Appraoch | 7834fe5d709e894322ad76ef118067febaa78bce | [
"MIT"
] | null | null | null | from pydub import AudioSegment
import os
import math
from pathlib import Path
'''
Splice wav files into multiple segments.
'''
LENGTH = 3 # Set splice length in seconds
def splice(audioPath, outputPath):
# try:
# os.mkdir('Spliced Spectrogram training') # Need to figure out where to put this
# excep... | 25.129032 | 89 | 0.65982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.370988 |
1c2b5a500905db564cebad53847b80d4840a37d9 | 3,947 | py | Python | manpages.py | mba811/dash-manpages-zh | 94f7345f48084c2fa22ae00996920d1309458649 | [
"Apache-2.0"
] | 1 | 2020-04-09T10:51:01.000Z | 2020-04-09T10:51:01.000Z | manpages.py | mba811/dash-manpages-zh | 94f7345f48084c2fa22ae00996920d1309458649 | [
"Apache-2.0"
] | null | null | null | manpages.py | mba811/dash-manpages-zh | 94f7345f48084c2fa22ae00996920d1309458649 | [
"Apache-2.0"
] | 1 | 2020-09-16T03:04:18.000Z | 2020-09-16T03:04:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: Wu Liang
@contact:
@date: 2014/06/23
"""
import os
import sqlite3
import urllib2
import shutil
import tarfile
import hashlib
import codecs
from mako.template import Template
from pyquery import PyQuery
currentPath = os.path.join(os.path.dirname(os.path.real... | 30.835938 | 122 | 0.698759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,578 | 0.398989 |
1c2c1ecff02208f628aa2e65eae53abaf0c94bd6 | 1,527 | py | Python | docs/conf.py | alexweav/nisystemlink-clients-python | f19a30907a7fef536043ecbddc5a755e5fedf846 | [
"MIT"
] | null | null | null | docs/conf.py | alexweav/nisystemlink-clients-python | f19a30907a7fef536043ecbddc5a755e5fedf846 | [
"MIT"
] | null | null | null | docs/conf.py | alexweav/nisystemlink-clients-python | f19a30907a7fef536043ecbddc5a755e5fedf846 | [
"MIT"
] | null | null | null | import os
import sys
sys.path.insert(0, os.path.abspath(".."))
# --------------------------------------------------------------------------------------
project = "nisystemlink"
copyright = "2020, National Instruments"
author = "National Instruments"
# The short X.Y version
version = "0.1"
# The full version, includ... | 26.789474 | 88 | 0.587426 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 954 | 0.624754 |
1c2c9eed7b32e658c90b6a2885b2e30dd90f1dbc | 2,702 | py | Python | multinet/api/views/common.py | multinet-app/multinet-api | a658d787f0fb9ba415ed85a1e37c29953486287f | [
"Apache-2.0"
] | null | null | null | multinet/api/views/common.py | multinet-app/multinet-api | a658d787f0fb9ba415ed85a1e37c29953486287f | [
"Apache-2.0"
] | 91 | 2021-03-15T19:00:15.000Z | 2022-03-11T00:04:05.000Z | multinet/api/views/common.py | multinet-app/multinet-api | a658d787f0fb9ba415ed85a1e37c29953486287f | [
"Apache-2.0"
] | 1 | 2022-02-05T15:53:04.000Z | 2022-02-05T15:53:04.000Z | from typing import Dict, List
from arango.cursor import Cursor
from django.http.response import Http404
from django.shortcuts import get_object_or_404
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.request import Request
from rest_framework_extensions.mixins import NestedViewSetMixin
... | 33.358025 | 96 | 0.703923 | 2,266 | 0.838638 | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 0.198001 |
1c2cf799737827ae82cb008c68687ac40ab5260f | 2,613 | py | Python | scripts/tests/generate_host_files.py | NDevTK/cel | e97226416b6e12245564bfc1c3631d610d62f052 | [
"BSD-3-Clause"
] | null | null | null | scripts/tests/generate_host_files.py | NDevTK/cel | e97226416b6e12245564bfc1c3631d610d62f052 | [
"BSD-3-Clause"
] | null | null | null | scripts/tests/generate_host_files.py | NDevTK/cel | e97226416b6e12245564bfc1c3631d610d62f052 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2018 The Chromium 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 argparse
import logging
import os
import sys
def ParseArgs():
parser = argparse.ArgumentParser(
description='Host file generator for CELab E... | 31.107143 | 78 | 0.677 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,063 | 0.406812 |
1c2db146a81095258082a5e01445b3cddf1eab20 | 8,037 | py | Python | users/models.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | users/models.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | users/models.py | moshthepitt/probsc | 9b8cab206bb1c41238e36bd77f5e0573df4d8e2d | [
"MIT"
] | null | null | null | from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.encoding import python_2_unicode_compatible
from django.urls import reverse
from django_extensions.db.models import TimeStampedModel
from mptt.models import MPTTModel, TreeForeignKey
... | 33.911392 | 79 | 0.630459 | 7,568 | 0.941645 | 0 | 0 | 4,722 | 0.587533 | 0 | 0 | 1,335 | 0.166107 |
1c2e98b8bfffd32e002ee05aa4877b21658d72a4 | 59,466 | py | Python | azure-devops/azure/devops/released/build/build_client.py | imafidon2020/azure-devops-python-api | ea9075f0c54dbc10115a23a8b7ad34feacbbdc14 | [
"MIT"
] | 248 | 2019-05-10T14:20:24.000Z | 2022-03-29T12:17:27.000Z | azure-devops/azure/devops/released/build/build_client.py | AzureMentor/azure-devops-python-api | 3838e91d662dba1f77b43ad560ca23c1cb7e84e8 | [
"MIT"
] | 147 | 2019-05-08T14:20:49.000Z | 2022-03-28T19:36:21.000Z | azure-devops/azure/devops/released/build/build_client.py | AzureMentor/azure-devops-python-api | 3838e91d662dba1f77b43ad560ca23c1cb7e84e8 | [
"MIT"
] | 121 | 2019-05-08T06:24:39.000Z | 2022-03-01T12:58:02.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... | 54.505958 | 411 | 0.618437 | 58,800 | 0.988767 | 0 | 0 | 0 | 0 | 0 | 0 | 24,392 | 0.41017 |
1c2ecd7374ac4b43cc0c12a94a556e95164106a8 | 190 | py | Python | tests/test_train.py | hugobb/sgda | 69dcda47bb2c5b76d46ead32eb46ab5fb5e5e6d3 | [
"MIT"
] | 1 | 2022-02-16T04:20:02.000Z | 2022-02-16T04:20:02.000Z | tests/test_train.py | hugobb/sgda | 69dcda47bb2c5b76d46ead32eb46ab5fb5e5e6d3 | [
"MIT"
] | null | null | null | tests/test_train.py | hugobb/sgda | 69dcda47bb2c5b76d46ead32eb46ab5fb5e5e6d3 | [
"MIT"
] | null | null | null | import unittest
from gamesopt.train import train, TrainConfig
class TestOptimizer(unittest.TestCase):
def test_sgda(self):
config = TrainConfig(num_iter=2)
train(config) | 27.142857 | 45 | 0.736842 | 127 | 0.668421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1c2ee79c50e5332807a24a1c5c70089c0090c76c | 91 | py | Python | loadCSVdata.py | christostsekouronas/academyposttestanalysis | 913a0c13ad0482927a323b2fb3a97a8e2ca26517 | [
"MIT"
] | null | null | null | loadCSVdata.py | christostsekouronas/academyposttestanalysis | 913a0c13ad0482927a323b2fb3a97a8e2ca26517 | [
"MIT"
] | null | null | null | loadCSVdata.py | christostsekouronas/academyposttestanalysis | 913a0c13ad0482927a323b2fb3a97a8e2ca26517 | [
"MIT"
] | null | null | null | import pandas as pd
def loadTest(filepath):
df = pd.read_csv(filepath)
return df | 13 | 30 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1c2f9886c30209c8f8c18348757a2729fc8d5b30 | 1,832 | py | Python | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2015_05_01/models/_application_insights_management_client_enums.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 8 | 2021-01-13T23:44:08.000Z | 2021-03-17T10:13:36.000Z | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2015_05_01/models/_application_insights_management_client_enums.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 226 | 2019-07-24T07:57:21.000Z | 2019-10-15T01:07:24.000Z | sdk/applicationinsights/azure-mgmt-applicationinsights/azure/mgmt/applicationinsights/v2015_05_01/models/_application_insights_management_client_enums.py | iscai-msft/azure-sdk-for-python | 83715b95c41e519d5be7f1180195e2fba136fc0f | [
"MIT"
] | 2 | 2020-05-21T22:51:22.000Z | 2020-05-26T20:53:01.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 17.960784 | 76 | 0.600437 | 1,297 | 0.707969 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.434498 |
1c2fb781ddcd4218fd8a81658d8b1820f7658753 | 425 | py | Python | setup.py | dhruvdcoder/allennlp-wandb | 160dceb1f4cec8e893b856d333bc302748afdd74 | [
"MIT"
] | null | null | null | setup.py | dhruvdcoder/allennlp-wandb | 160dceb1f4cec8e893b856d333bc302748afdd74 | [
"MIT"
] | null | null | null | setup.py | dhruvdcoder/allennlp-wandb | 160dceb1f4cec8e893b856d333bc302748afdd74 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
install_requires = [
"allennlp>=0.9.0",
"wandb==0.8.15",
]
setup(
name='allennlp_wandb',
version='0.0.1',
description='Utilities to use allennlp with wandb',
packages=find_packages(
exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
p... | 25 | 62 | 0.647059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 155 | 0.364706 |
1c30848fe8db838bf2ea7ab14ebea0d07ae3d297 | 2,311 | py | Python | setup.py | mark-mishyn/django-axes | dfaf67810abd21a0e76200a4906c1bffdd4fa9c9 | [
"MIT"
] | null | null | null | setup.py | mark-mishyn/django-axes | dfaf67810abd21a0e76200a4906c1bffdd4fa9c9 | [
"MIT"
] | null | null | null | setup.py | mark-mishyn/django-axes | dfaf67810abd21a0e76200a4906c1bffdd4fa9c9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name="django-axes",
description="Keep track of failed login attempts in Django-powered sites.",
long_description="\n".join(
[
open("README.rst", encoding="utf-8").read(),
open("CHANGES.rst", encoding="... | 34.492537 | 87 | 0.581134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,368 | 0.591952 |
1c30c09f1bd3070f07f121e14a73ab704dad99b4 | 106 | py | Python | achievements/admin.py | peterkrauz/rpg-achievements-django | c65ec12237b2bee9f12d259fedd5f18934ff6c96 | [
"Apache-2.0"
] | 1 | 2021-08-31T10:52:55.000Z | 2021-08-31T10:52:55.000Z | achievements/admin.py | peterkrauz/rpg-achievements-django | c65ec12237b2bee9f12d259fedd5f18934ff6c96 | [
"Apache-2.0"
] | null | null | null | achievements/admin.py | peterkrauz/rpg-achievements-django | c65ec12237b2bee9f12d259fedd5f18934ff6c96 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from achievements import models
admin.site.register(models.Achievement)
| 21.2 | 39 | 0.849057 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1c30e979a316677653e10a7d840b2373d881b549 | 1,925 | py | Python | src/modules/loss.py | ab3llini/BlindLess | 46c50fb2748b9d372044d00b901f0cde91946684 | [
"MIT"
] | 1 | 2022-03-19T09:19:12.000Z | 2022-03-19T09:19:12.000Z | src/modules/loss.py | ab3llini/BlindLess | 46c50fb2748b9d372044d00b901f0cde91946684 | [
"MIT"
] | 1 | 2020-02-06T18:26:07.000Z | 2020-02-06T18:26:07.000Z | src/modules/loss.py | ab3llini/BlindLess | 46c50fb2748b9d372044d00b901f0cde91946684 | [
"MIT"
] | null | null | null | from torch.nn import CrossEntropyLoss
class GPT2Loss(CrossEntropyLoss):
def __init__(self, pad_token_id):
super(GPT2Loss, self).__init__(ignore_index=pad_token_id)
def forward(self, output, labels):
"""
Loss function for gpt2
:param output:
:param labels:
:retu... | 31.048387 | 75 | 0.619221 | 1,878 | 0.975584 | 0 | 0 | 0 | 0 | 0 | 0 | 582 | 0.302338 |
1c31541017e2e3db5152ae18abbb5211d1ab50d4 | 6,481 | py | Python | analyze_tls.py | khushhallchandra/CN-project | 405ce86e4e65e116531aa19287b8d05c959b1441 | [
"MIT"
] | null | null | null | analyze_tls.py | khushhallchandra/CN-project | 405ce86e4e65e116531aa19287b8d05c959b1441 | [
"MIT"
] | null | null | null | analyze_tls.py | khushhallchandra/CN-project | 405ce86e4e65e116531aa19287b8d05c959b1441 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def main(filename):
data = pd.read_csv(filename, header=None)
means = data.mean(axis = 0)
stds = data.std(axis = 0)
return means[0], means[1], stds[0], stds[1]
if __name__ == '__main__':
files_http1 = ['./results/benchmark_siz... | 54.923729 | 257 | 0.738158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,716 | 0.264774 |
1c32015a3c35228c38c5bac706f794e1cdc33050 | 7,376 | py | Python | validation/utils/m1.py | PedrV/stfX | 017436cd4ade7f0ea95185d82408697c43ac6ce6 | [
"MIT"
] | null | null | null | validation/utils/m1.py | PedrV/stfX | 017436cd4ade7f0ea95185d82408697c43ac6ce6 | [
"MIT"
] | null | null | null | validation/utils/m1.py | PedrV/stfX | 017436cd4ade7f0ea95185d82408697c43ac6ce6 | [
"MIT"
] | null | null | null | import unittest
import os
from matplotlib import pyplot as plt
from shapely import geometry, affinity
X_COORDINATE = 0
Y_COORDINATE = 1
def extract_x_y(polygon: list) -> (list, list):
"""Extract the x and y coordinates as two separate lists"""
x_list = []
y_list = []
for vertex in polygon:
x... | 33.990783 | 102 | 0.590564 | 2,308 | 0.312907 | 0 | 0 | 0 | 0 | 0 | 0 | 1,418 | 0.192245 |
1c334c43ec9647ed0e0ec846ea0ec8b0f1abcbfa | 1,332 | py | Python | movefiles.py | linhailan/JPG-PNG-to-MNIST-NN-Format | c2ff84cb8d2dc6cd49c4d462b4d8ea2ba4620719 | [
"Apache-2.0"
] | null | null | null | movefiles.py | linhailan/JPG-PNG-to-MNIST-NN-Format | c2ff84cb8d2dc6cd49c4d462b4d8ea2ba4620719 | [
"Apache-2.0"
] | null | null | null | movefiles.py | linhailan/JPG-PNG-to-MNIST-NN-Format | c2ff84cb8d2dc6cd49c4d462b4d8ea2ba4620719 | [
"Apache-2.0"
] | null | null | null | import os
from PIL import Image
from array import *
from random import shuffle
import shutil
def move_file(src_path, dst_path, file):
print("from : ",src_path)
print("to : ",dst_path)
try:
# cmd = 'chmod -R +x ' + src_path
# os.popen(cmd)
f_src = os.path.join(src_path, file)
... | 25.615385 | 65 | 0.553303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.125375 |
1c33dae046d778c2acefa8efab3c4ae7565e1bc3 | 348 | py | Python | spark_work.py | nszceta/spark-python-celery-demo | c5b03be4bb96699f8e41aa8a42fecd4c25c76331 | [
"MIT"
] | 8 | 2016-01-19T15:59:36.000Z | 2018-04-25T09:00:57.000Z | spark_work.py | nszceta/spark-python-celery-demo | c5b03be4bb96699f8e41aa8a42fecd4c25c76331 | [
"MIT"
] | null | null | null | spark_work.py | nszceta/spark-python-celery-demo | c5b03be4bb96699f8e41aa8a42fecd4c25c76331 | [
"MIT"
] | null | null | null | import sys
from pyspark import SparkContext
import json
print('spark got python path -> ' + str(sys.executable))
logfile = sys.argv[1]
sc = SparkContext()
logdata = sc.textFile(logfile).cache()
a_count = logdata.filter(lambda s: 'a' in s).count()
b_count = logdata.filter(lambda s: 'b' in s).count()
print(json.dumps({'a... | 31.636364 | 56 | 0.70977 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0.112069 |
1c33fa15ddbf9c5dfc357e4226f51b2734c6f579 | 738 | py | Python | nodes/List/GetTaskRenderListIndex.py | atticus-lv/RenderNode | 8a4797a2186b76fedebc5d634cff298e69089474 | [
"Apache-2.0"
] | 17 | 2021-11-21T09:26:55.000Z | 2022-03-09T06:56:01.000Z | nodes/List/GetTaskRenderListIndex.py | atticus-lv/RenderNode | 8a4797a2186b76fedebc5d634cff298e69089474 | [
"Apache-2.0"
] | 1 | 2021-12-05T13:02:48.000Z | 2021-12-06T08:02:34.000Z | nodes/List/GetTaskRenderListIndex.py | atticus-lv/RenderNode | 8a4797a2186b76fedebc5d634cff298e69089474 | [
"Apache-2.0"
] | 4 | 2021-11-23T14:49:34.000Z | 2021-12-30T15:04:58.000Z | import bpy
from bpy.props import *
from ...nodes.BASE.node_base import RenderNodeBase
class RenderNodeGetListIndex(RenderNodeBase):
"""A simple input node"""
bl_idname = 'RenderNodeGetListIndex'
bl_label = 'Get List Index'
def init(self, context):
self.create_output('RenderNodeSocketInt', "i... | 26.357143 | 81 | 0.730352 | 502 | 0.680217 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.176152 |
1c3521323cf7d57dc8b2b240d95a181b90cc3144 | 1,188 | py | Python | src/recognizeDigit.py | RsTaK/Sudoku | 8daa0a06906ce61d9a71586a8d28a3931ca4e5e3 | [
"MIT"
] | 2 | 2020-01-22T14:32:40.000Z | 2021-12-23T20:42:52.000Z | src/recognizeDigit.py | RsTaK/Sudoku | 8daa0a06906ce61d9a71586a8d28a3931ca4e5e3 | [
"MIT"
] | 4 | 2020-11-13T18:54:24.000Z | 2022-02-10T02:10:00.000Z | src/recognizeDigit.py | RsTaK/Sudoku | 8daa0a06906ce61d9a71586a8d28a3931ca4e5e3 | [
"MIT"
] | 1 | 2020-01-22T14:02:50.000Z | 2020-01-22T14:02:50.000Z | from keras.models import load_model
import cv2
import pickle
import keras.backend as K
import numpy as np
from src.model_path import MODEL_PATH
'''def predict(self, cell):
model = load_model('./model/Model.h5')
f = K.function([model.layers[0].input, K.learning_phase()],[model.layers[-1].output])
rescaled_cell = ... | 27 | 87 | 0.705387 | 482 | 0.405724 | 0 | 0 | 61 | 0.051347 | 0 | 0 | 558 | 0.469697 |
1c3558d607658f8dea73cab624fa5807f1ade4f4 | 4,544 | py | Python | plots.py | olihawkins/penguin-models | fabecdf6336390fc50e67cfd8494ade69fc3ef7f | [
"BSD-3-Clause"
] | 1 | 2021-05-05T10:17:01.000Z | 2021-05-05T10:17:01.000Z | plots.py | olihawkins/penguin-models | fabecdf6336390fc50e67cfd8494ade69fc3ef7f | [
"BSD-3-Clause"
] | null | null | null | plots.py | olihawkins/penguin-models | fabecdf6336390fc50e67cfd8494ade69fc3ef7f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""A module for plotting penguins data for modelling with scikit-learn."""
# Imports ---------------------------------------------------------------------
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Constants -----------------------------... | 28.759494 | 79 | 0.574604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,648 | 0.362676 |
1c357d3712292b01ee95a5bca2342315acb4f8ef | 623 | py | Python | dojo/db_migrations/0147_rename_sslyze_parser.py | dant24/django-DefectDojo | caf5c91b3f8870d5f466dfaaf5a3a096f8812ad9 | [
"BSD-3-Clause"
] | 249 | 2016-09-06T21:04:40.000Z | 2018-01-19T15:59:44.000Z | dojo/db_migrations/0147_rename_sslyze_parser.py | dant24/django-DefectDojo | caf5c91b3f8870d5f466dfaaf5a3a096f8812ad9 | [
"BSD-3-Clause"
] | 255 | 2016-09-06T21:36:37.000Z | 2018-01-19T19:57:57.000Z | dojo/db_migrations/0147_rename_sslyze_parser.py | dant24/django-DefectDojo | caf5c91b3f8870d5f466dfaaf5a3a096f8812ad9 | [
"BSD-3-Clause"
] | 152 | 2016-09-06T21:04:54.000Z | 2018-01-18T08:52:24.000Z | from django.db import migrations
def rename_sslyze_parser(apps, schema_editor):
Test_Type_model = apps.get_model('dojo', 'Test_Type')
try:
test_type_sslyze = Test_Type_model.objects.get(name='SSLyze 3 Scan (JSON)')
test_type_sslyze.name = 'SSLyze Scan (JSON)'
test_type_sslyze.save()
... | 25.958333 | 83 | 0.678973 | 184 | 0.295345 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.224719 |
1c35f69ad59be07090db7f3539f86ff7d6d0b4e8 | 4,203 | py | Python | server/forestgame/game/test_world.py | Nick-Pearson/forestgame | 8a37225adbe6da9df7851eba34ad06806da0ce48 | [
"0BSD"
] | null | null | null | server/forestgame/game/test_world.py | Nick-Pearson/forestgame | 8a37225adbe6da9df7851eba34ad06806da0ce48 | [
"0BSD"
] | 5 | 2021-03-10T14:18:45.000Z | 2022-03-12T00:28:29.000Z | server/forestgame/game/test_world.py | Nick-Pearson/forestgame | 8a37225adbe6da9df7851eba34ad06806da0ce48 | [
"0BSD"
] | null | null | null | import unittest
from forestgame.game.world import World
class WorldTest(unittest.TestCase):
def test_world_inits_to_empty_data(self):
world = World(None, "1", "0", 0, 0, [], [])
self.assertEqual(0, world.get_size_x())
self.assertEqual(0, world.get_size_y())
self.assertEqual([], world.get_tile_data(... | 26.601266 | 66 | 0.610278 | 4,144 | 0.985962 | 0 | 0 | 0 | 0 | 0 | 0 | 89 | 0.021175 |
1c362cfcd82b4292b1b1b46edbeee9a97e7fba89 | 9,756 | py | Python | invconv/xlsx.py | TechPowerAwaits/ax-toolkit | d49924ef2dcd3f54f494ba3859afb070cc12ef91 | [
"0BSD"
] | null | null | null | invconv/xlsx.py | TechPowerAwaits/ax-toolkit | d49924ef2dcd3f54f494ba3859afb070cc12ef91 | [
"0BSD"
] | 16 | 2021-04-14T03:46:37.000Z | 2022-02-11T16:15:00.000Z | invconv/xlsx.py | TechPowerAwaits/ax-toolkit | d49924ef2dcd3f54f494ba3859afb070cc12ef91 | [
"0BSD"
] | null | null | null | # Copyright 2021 Richard Johnston <techpowerawaits@outlook.com>
# SPDX-license-identifier: 0BSD
import string
from loguru import logger
try:
import cell_pos
from exceptions import InvconvMissingHeaders
import ftype
import msg_handler
except ModuleNotFoundError:
import invconv.cell_pos as cell_pos... | 33.410959 | 119 | 0.625974 | 2,107 | 0.21597 | 0 | 0 | 0 | 0 | 0 | 0 | 2,586 | 0.265068 |
1c369e5832adc50f438c555f56dfcb9a9431f342 | 5,501 | py | Python | solvers/generation_solver/img_interface.py | Anthony102899/Lego-ImageGenerator | 52b19c8bb20f77a3394675e7c037c943a50c1e15 | [
"Unlicense"
] | 1 | 2022-03-20T10:23:38.000Z | 2022-03-20T10:23:38.000Z | solvers/generation_solver/img_interface.py | Anthony102899/Lego-ImageGenerator | 52b19c8bb20f77a3394675e7c037c943a50c1e15 | [
"Unlicense"
] | null | null | null | solvers/generation_solver/img_interface.py | Anthony102899/Lego-ImageGenerator | 52b19c8bb20f77a3394675e7c037c943a50c1e15 | [
"Unlicense"
] | null | null | null | import os
from tkinter import *
import tkinter.filedialog as tkfd
from PIL import Image
import numpy as np
import solvers.generation_solver.image_seperation as IS
def layer_interface(img_num):
layer_names = []
layer_nums = []
for k in range(img_num):
master = Toplevel()
master.title(f"Imag... | 42.315385 | 158 | 0.616797 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 783 | 0.142338 |
1c3759df5a38cc9eec92e29506b100742f627706 | 953 | py | Python | Constellations/get_brightest_stars.py | PatD123/Polar-Constellation | 86f54ae2028a4f351b9f1a056aa3166f49541679 | [
"MIT"
] | null | null | null | Constellations/get_brightest_stars.py | PatD123/Polar-Constellation | 86f54ae2028a4f351b9f1a056aa3166f49541679 | [
"MIT"
] | null | null | null | Constellations/get_brightest_stars.py | PatD123/Polar-Constellation | 86f54ae2028a4f351b9f1a056aa3166f49541679 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
import re, json
# Getting the page
URL = "https://www.astronomytrek.com/star-constellations-brightest-stars/"
uClient = uReq(url=URL)
page_html = uClient.read()
page_soup = soup(page_html, "html.parser")
# Opening a file to write in
star... | 27.228571 | 74 | 0.651626 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.195173 |
1c38a65740967a1e49c94a99e84549d3470de0b7 | 493 | py | Python | TwoPointers/Leetcode11.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | TwoPointers/Leetcode11.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | TwoPointers/Leetcode11.py | Rylie-W/LeetRecord | 623c4efe88b3af54b8a65f6ec23db850b8c6f46f | [
"Apache-2.0"
] | null | null | null | class Solution:
def maxArea(self, height) -> int:
left=0
right=len(height)-1
res=min(height[left],height[right])*(right-left)
while right>left:
res=max(res,(right-left)*min(height[right],height[left]))
if height[left]<height[right]:
left+=1
... | 25.947368 | 69 | 0.543611 | 363 | 0.736308 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.054767 |
1c38c6e2555cdc9fef807ccf4fe2adf10311bc9a | 13,688 | py | Python | tensorflow_text/python/ops/bert_tokenizer_test.py | hashim361/text | 141ed3ae72078a5da431831ce718c8d09fbf4f92 | [
"Apache-2.0"
] | 1 | 2020-10-10T14:10:07.000Z | 2020-10-10T14:10:07.000Z | tensorflow_text/python/ops/bert_tokenizer_test.py | pranayjoshi/text | 5a12211ac370f989ca359d232d3081a889e859dd | [
"Apache-2.0"
] | null | null | null | tensorflow_text/python/ops/bert_tokenizer_test.py | pranayjoshi/text | 5a12211ac370f989ca359d232d3081a889e859dd | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2020 TF.Text Authors.
#
# 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 ag... | 31.179954 | 80 | 0.512566 | 9,434 | 0.675353 | 0 | 0 | 8,961 | 0.641492 | 0 | 0 | 4,012 | 0.287207 |
1c3b16c69b0c5704668f2afab4edc623fff685bf | 5,324 | py | Python | tests/index_test.py | DubeySandeep/pending-review-notification | 353fa74d98eeb6c8386818273a2fe02af39d6b9d | [
"Apache-2.0"
] | null | null | null | tests/index_test.py | DubeySandeep/pending-review-notification | 353fa74d98eeb6c8386818273a2fe02af39d6b9d | [
"Apache-2.0"
] | null | null | null | tests/index_test.py | DubeySandeep/pending-review-notification | 353fa74d98eeb6c8386818273a2fe02af39d6b9d | [
"Apache-2.0"
] | 1 | 2021-10-20T16:24:04.000Z | 2021-10-20T16:24:04.000Z | """Unit test for the index.py file."""
import unittest
from datetime import datetime, timedelta, timezone
import json
from unittest.mock import patch, mock_open
import requests_mock
from src import index
from src import github_services
class ModuleIntegerationTest(unittest.TestCase):
"""Integeration test for th... | 35.493333 | 79 | 0.523666 | 5,083 | 0.954733 | 0 | 0 | 0 | 0 | 0 | 0 | 1,260 | 0.236664 |
1c3c2ebbf2a88dc388bb0314813d8b32b385e4b0 | 3,133 | py | Python | rqalpha/data/instrument_mixin.py | mysky528/rqalpha | ecd550fc30aee96f9995e8152e2c48f5512f8b11 | [
"Apache-2.0"
] | 3 | 2017-07-11T15:37:24.000Z | 2021-11-22T14:21:13.000Z | rqalpha/data/instrument_mixin.py | mysky528/rqalpha | ecd550fc30aee96f9995e8152e2c48f5512f8b11 | [
"Apache-2.0"
] | null | null | null | rqalpha/data/instrument_mixin.py | mysky528/rqalpha | ecd550fc30aee96f9995e8152e2c48f5512f8b11 | [
"Apache-2.0"
] | 2 | 2019-04-26T07:51:08.000Z | 2020-12-01T20:59:04.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2017 Ricequant, Inc
#
# 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 ... | 40.166667 | 100 | 0.620172 | 2,566 | 0.805651 | 0 | 0 | 0 | 0 | 0 | 0 | 834 | 0.261852 |
1c3ca96a8752bea73f340ee28894ea1bdab8af22 | 215 | py | Python | Python 3/19.prac_no2.py | ByeonUi-Hyeok/practice | 6f55ddcb662e2bf8e0c3fb4c4af0beb77a1c7d2d | [
"MIT"
] | 1 | 2021-06-11T08:55:03.000Z | 2021-06-11T08:55:03.000Z | Python 3/19.prac_no2.py | ByeonUi-Hyeok/practice | 6f55ddcb662e2bf8e0c3fb4c4af0beb77a1c7d2d | [
"MIT"
] | null | null | null | Python 3/19.prac_no2.py | ByeonUi-Hyeok/practice | 6f55ddcb662e2bf8e0c3fb4c4af0beb77a1c7d2d | [
"MIT"
] | null | null | null | import funcvote as vote
votes = input("투표내용 >>>")
# print(votes)
# print(type(votes))
result = vote.str2int(votes)
print(vote.countvotes(result))
result = vote.countvotes(result)
vote.printvote(result)
# 투표 초안 | 14.333333 | 32 | 0.716279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.290043 |
1c3d09dc17bc58a64b3b41021ca264b66d8e9b31 | 427 | py | Python | tutorials/30-days-of-code/30-operators.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 41 | 2018-05-11T07:54:34.000Z | 2022-03-29T19:02:32.000Z | tutorials/30-days-of-code/30-operators.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 2 | 2021-09-13T10:03:26.000Z | 2021-10-04T10:21:05.000Z | tutorials/30-days-of-code/30-operators.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 21 | 2019-01-23T19:06:59.000Z | 2021-12-23T16:03:47.000Z | # Day 2: Operators
# Start using arithmetic operators.
#
# https://www.hackerrank.com/challenges/30-operators/problem
#
#!/bin/python3
import sys
if __name__ == "__main__":
meal_cost = float(input().strip())
tip_percent = int(input().strip())
tax_percent = int(input().strip())
cost = meal_cost * (1 ... | 22.473684 | 66 | 0.665105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.419204 |
1c3e669806f961c690e3e607d0c5ebaae5ffefbe | 2,503 | py | Python | articles/views.py | qwghlm/CommentIsMee | 2c11be1376ec693df28123727c3d86b38404fd71 | [
"MIT"
] | null | null | null | articles/views.py | qwghlm/CommentIsMee | 2c11be1376ec693df28123727c3d86b38404fd71 | [
"MIT"
] | null | null | null | articles/views.py | qwghlm/CommentIsMee | 2c11be1376ec693df28123727c3d86b38404fd71 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.template import RequestContext, loader
from django.shortcuts import render, get_object_or_404, redirect
from django.core.urlresolvers import reverse
from django.core.cache import cache
from articles.models import CIFArticle
from .forms import CIFArticleForm
def index(r... | 32.934211 | 86 | 0.62485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 556 | 0.222133 |
1c3f21c6980082d2b5b98180066cf9ba8b94eb50 | 156 | py | Python | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | null | null | null | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | null | null | null | utils/runtime_mode.py | omiderfanmanesh/dengue-infections-prediction | 6b4e4aa4af6f6e2cc581fd7828634bbfdc446340 | [
"Apache-2.0"
] | 1 | 2021-06-05T10:05:44.000Z | 2021-06-05T10:05:44.000Z | # Copyright (c) 2021, Omid Erfanmanesh, All rights reserved.
class RuntimeMode:
TRAIN = 0
TUNING = 1
CROSS_VAL = 2
FEATURE_IMPORTANCE = 3
| 19.5 | 61 | 0.666667 | 92 | 0.589744 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.391026 |
1c41c0dd3400c46c01883be0652a07078deef3cb | 2,616 | py | Python | pydoc_fork/__main__.py | matthewdeanmartin/pydoc_fork | 174475b15be966f3751d5563b4db0beecc3ab1f9 | [
"MIT"
] | null | null | null | pydoc_fork/__main__.py | matthewdeanmartin/pydoc_fork | 174475b15be966f3751d5563b4db0beecc3ab1f9 | [
"MIT"
] | 1 | 2022-01-17T16:28:45.000Z | 2022-01-17T16:28:45.000Z | pydoc_fork/__main__.py | matthewdeanmartin/pydoc_fork | 174475b15be966f3751d5563b4db0beecc3ab1f9 | [
"MIT"
] | null | null | null | # noinspection PyPep8
"""pydoc_fork
A fork of pydoc that is optimized for generating html documentation in a CI context
Usage:
pydoc_fork <package>... [options]
pydoc_fork (-h | --help)
pydoc_fork --version
Options:
-h --help Show this screen.
-v --version Show version.
... | 31.518072 | 86 | 0.64526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,400 | 0.535168 |
1c41d05846e91ffb115828352ba38c0ccc9074be | 444 | py | Python | backend/src/libs/strings.py | codeglitchz/attendance-system | c82a8d75375069b15e0b827608209bfacb67cde7 | [
"MIT"
] | 37 | 2019-12-15T17:39:38.000Z | 2022-03-13T08:16:09.000Z | backend/src/libs/strings.py | codeglitchz/attendance-system | c82a8d75375069b15e0b827608209bfacb67cde7 | [
"MIT"
] | 16 | 2020-05-05T14:17:26.000Z | 2022-03-02T09:09:38.000Z | backend/src/libs/strings.py | codeglitchz/attendance-system | c82a8d75375069b15e0b827608209bfacb67cde7 | [
"MIT"
] | 18 | 2019-12-15T17:39:43.000Z | 2022-01-22T10:42:41.000Z | """
libs.strings
By default, uses `en-gb.json` file inside the `strings` top-level folder.
If language changes, set `libs.strings.default_locale` and run `libs.strings.refresh()`.
"""
import json
default_locale = "en-us"
cached_strings = {}
def refresh():
global cached_strings
with open(f"strings/{default_... | 17.76 | 88 | 0.702703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.504505 |
1c420085b055ce7cdac960f6e45563c43bc3b205 | 5,881 | py | Python | nemo_cmd/deflate.py | SalishSeaCast/NEMO-Cmd | a1fb05c4430e152a7dae57296bce364f73752129 | [
"Apache-2.0"
] | 1 | 2020-03-26T16:42:26.000Z | 2020-03-26T16:42:26.000Z | nemo_cmd/deflate.py | SalishSeaCast/NEMO-Cmd | a1fb05c4430e152a7dae57296bce364f73752129 | [
"Apache-2.0"
] | 10 | 2020-03-23T21:19:25.000Z | 2021-11-01T22:12:17.000Z | nemo_cmd/deflate.py | SalishSeaCast/NEMO-Cmd | a1fb05c4430e152a7dae57296bce364f73752129 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013-2021 The Salish Sea MEOPAR Contributors
# and The University of British Columbia
# 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... | 32.672222 | 87 | 0.631185 | 3,210 | 0.545826 | 0 | 0 | 1,649 | 0.280394 | 0 | 0 | 2,783 | 0.473219 |
1c4260852b0f621da5efbc981c92c14d38f9bbe8 | 1,469 | py | Python | src/UQpy/distributions/collection/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | src/UQpy/distributions/collection/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | src/UQpy/distributions/collection/__init__.py | SURGroup/UncertaintyQuantification | a94c8db47d07134ea2b3b0a3ca53ca818532c3e6 | [
"MIT"
] | null | null | null | """distributions module."""
from UQpy.distributions.collection.Beta import Beta
from UQpy.distributions.collection.Binomial import Binomial
from UQpy.distributions.collection.Cauchy import Cauchy
from UQpy.distributions.collection.ChiSquare import ChiSquare
from UQpy.distributions.collection.Exponential import Exponent... | 58.76 | 79 | 0.884275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.01838 |
1c4262cdeb92ebd6c335d957cdc8fd8bfca03129 | 190 | py | Python | Learning Python/Exercise Files/Ch2/helloworld_my.py | RomanShevtsiv/linkedin-learning | d7ec85953b7e88905f87928ede067d32344b984f | [
"MIT"
] | null | null | null | Learning Python/Exercise Files/Ch2/helloworld_my.py | RomanShevtsiv/linkedin-learning | d7ec85953b7e88905f87928ede067d32344b984f | [
"MIT"
] | null | null | null | Learning Python/Exercise Files/Ch2/helloworld_my.py | RomanShevtsiv/linkedin-learning | d7ec85953b7e88905f87928ede067d32344b984f | [
"MIT"
] | null | null | null | #
# Example file for HelloWorld
#
def main():
print("Hello World")
name = input("What is your name? ")
print("Nice to meet you,", name)
if __name__ == "__main__":
main()
| 13.571429 | 39 | 0.594737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.494737 |
1c42d191e50517487ce29edd00a0d3e85b40a9be | 15,309 | py | Python | RocketSimulation.py | pietrotrope/SolarSystemSimulation | 905eec31eb73e1203ee23a32846954b30bbc5925 | [
"MIT"
] | null | null | null | RocketSimulation.py | pietrotrope/SolarSystemSimulation | 905eec31eb73e1203ee23a32846954b30bbc5925 | [
"MIT"
] | null | null | null | RocketSimulation.py | pietrotrope/SolarSystemSimulation | 905eec31eb73e1203ee23a32846954b30bbc5925 | [
"MIT"
] | null | null | null | import sys
import csv
import json
import math
import pygame
import numpy as np
from pygame.locals import *
import pandas as pd
from data import *
from agent import agentsList, Agent
global screenSize
screenSize = [1920, 1080]
def load_parameters(path):
package = []
file = open(path, 'r')
j = json.load(f... | 33.720264 | 118 | 0.528317 | 13,512 | 0.882618 | 0 | 0 | 0 | 0 | 0 | 0 | 1,390 | 0.090796 |
1c43093fa85de4f6e1de23a0ecc3b43530f42260 | 126 | py | Python | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | sourcecode/GAN/FID/__init__.py | toufeeqahamedns/GeneratingHumanFaces | 93048bf5f6ae99424f918b0d0fea46d21abee0cb | [
"MIT"
] | null | null | null | """ Package has implementation for the FID score calculation
"""
from GAN.FID import fid_score
from GAN.FID import inception
| 21 | 60 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.507937 |
1c4353fef35e15660683e78f01919ecd4744808d | 574 | py | Python | flask_monitoringdashboard/test/core/profiler/util/test_stringhash.py | timgates42/Flask-MonitoringDashboard | 0404b05b9a8f1917796e0f314a77a53a754a0b15 | [
"MIT"
] | 3 | 2020-07-17T05:37:41.000Z | 2021-09-06T19:46:15.000Z | flask_monitoringdashboard/test/core/profiler/util/test_stringhash.py | timgates42/Flask-MonitoringDashboard | 0404b05b9a8f1917796e0f314a77a53a754a0b15 | [
"MIT"
] | null | null | null | flask_monitoringdashboard/test/core/profiler/util/test_stringhash.py | timgates42/Flask-MonitoringDashboard | 0404b05b9a8f1917796e0f314a77a53a754a0b15 | [
"MIT"
] | 1 | 2020-11-21T01:25:51.000Z | 2020-11-21T01:25:51.000Z | import unittest
from flask_monitoringdashboard.core.profiler.util.stringHash import StringHash
class TestStringHash(unittest.TestCase):
def test_stringhash(self):
string_hash = StringHash()
self.assertEqual(string_hash.hash('abc'), 0)
self.assertEqual(string_hash.hash('def'), 1)
... | 31.888889 | 78 | 0.709059 | 475 | 0.827526 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.059233 |
1c45545157e97f9c4e1cc68b6cafb654b5d57282 | 439 | py | Python | news/views.py | valch85/newssite | ef612a7bde4ff1d6e1e35f5cc4ec9407f031270e | [
"Apache-2.0"
] | null | null | null | news/views.py | valch85/newssite | ef612a7bde4ff1d6e1e35f5cc4ec9407f031270e | [
"Apache-2.0"
] | 2 | 2020-02-12T00:16:37.000Z | 2020-06-05T20:42:49.000Z | news/views.py | valch85/newssite | ef612a7bde4ff1d6e1e35f5cc4ec9407f031270e | [
"Apache-2.0"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from .models import News
# Create your views here.
def index(request):
latest_news_list = News.objects.order_by('-pub_date')[:10]
context = {'latest_news_list': latest_news_list}
return render(request, 'news/index.html', context)
def detail(request, ... | 27.4375 | 62 | 0.728929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.214123 |
1c4559619debbfab81b5667b6115f6d8185615c5 | 1,229 | py | Python | benchmark/generate_libs/jamplus.py | chadaustin/ibb | ea1e25cc53a1ad7c302a12d95fc704c443924dff | [
"MIT"
] | 4 | 2015-04-09T17:24:58.000Z | 2019-07-02T12:05:56.000Z | benchmark/generate_libs/jamplus.py | chadaustin/ibb | ea1e25cc53a1ad7c302a12d95fc704c443924dff | [
"MIT"
] | null | null | null | benchmark/generate_libs/jamplus.py | chadaustin/ibb | ea1e25cc53a1ad7c302a12d95fc704c443924dff | [
"MIT"
] | 1 | 2019-11-08T15:38:29.000Z | 2019-11-08T15:38:29.000Z | #!/usr/bin/python
import os.path
import cppcodebase
import random
def CreateLibJamfile(lib_number, classes):
os.chdir(cppcodebase.lib_name(lib_number))
handle = file("Jamfile.jam", "w")
handle.write ("SubDir TOP lib_" + str(lib_number) + " ;\n\n")
handle.write ("SubDirHdrs $(INCLUDES) ;\n\n")
han... | 29.261905 | 107 | 0.643613 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 297 | 0.24166 |
1c45bee0b72f7290f98a152d2fd4047f74e16502 | 8,482 | py | Python | inbm/dispatcher-agent/dispatcher/fota/fota.py | intel/intel-inb-manageability | cdb17765120857fd41cacb838d6ee6e34e1f5047 | [
"Apache-2.0"
] | 5 | 2021-12-13T21:19:31.000Z | 2022-01-18T18:29:43.000Z | inbm/dispatcher-agent/dispatcher/fota/fota.py | intel/intel-inb-manageability | cdb17765120857fd41cacb838d6ee6e34e1f5047 | [
"Apache-2.0"
] | 45 | 2021-12-30T17:21:09.000Z | 2022-03-29T22:47:32.000Z | inbm/dispatcher-agent/dispatcher/fota/fota.py | intel/intel-inb-manageability | cdb17765120857fd41cacb838d6ee6e34e1f5047 | [
"Apache-2.0"
] | 4 | 2022-01-26T17:42:54.000Z | 2022-03-30T04:48:04.000Z | """
FOTA update tool which is called from the dispatcher during installation
Copyright (C) 2017-2022 Intel Corporation
SPDX-License-Identifier: Apache-2.0
"""
import logging
import os
import platform
from threading import Timer
from typing import Any, Optional, Mapping
from future.moves.urllib.parse impo... | 42.838384 | 113 | 0.630512 | 7,455 | 0.87892 | 0 | 0 | 498 | 0.058713 | 0 | 0 | 2,235 | 0.263499 |
1c46065a2d7cec80d32a5396991fd1b74b074e66 | 8,727 | py | Python | syncflux.py | nagylzs/syncflux | c070267065cad817708d0680e17bfe5f8942310f | [
"Apache-2.0"
] | null | null | null | syncflux.py | nagylzs/syncflux | c070267065cad817708d0680e17bfe5f8942310f | [
"Apache-2.0"
] | null | null | null | syncflux.py | nagylzs/syncflux | c070267065cad817708d0680e17bfe5f8942310f | [
"Apache-2.0"
] | null | null | null | import copy
import datetime
import sys
import os
import time
import argparse
import traceback
import pytz
import syncthing
from influxdb import InfluxDBClient
import yaml
from yaml2dataclass import Schema, SchemaPath
from typing import Optional, Dict, Type, List
from dataclasses import dataclass, asdict, field
@dat... | 33.694981 | 119 | 0.605936 | 1,776 | 0.203506 | 0 | 0 | 1,820 | 0.208548 | 0 | 0 | 1,765 | 0.202246 |
1c48374373ae16db6dbcfd16316661e717dab9fc | 5,230 | py | Python | tests/input/pdf/test_pdf.py | asweeney86/preview-generator | 354cbac1c131ebbb81cd9cfd9b4bc0c184d10103 | [
"MIT"
] | null | null | null | tests/input/pdf/test_pdf.py | asweeney86/preview-generator | 354cbac1c131ebbb81cd9cfd9b4bc0c184d10103 | [
"MIT"
] | null | null | null | tests/input/pdf/test_pdf.py | asweeney86/preview-generator | 354cbac1c131ebbb81cd9cfd9b4bc0c184d10103 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import re
import shutil
import typing
from PIL import Image
from PyPDF2 import PdfFileReader
import PyPDF2.utils
import pytest
from preview_generator.exception import UnavailablePreviewType
from preview_generator.manager import PreviewManager
from tests import test_utils
CURRENT_DI... | 39.621212 | 100 | 0.759656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 348 | 0.066526 |
1c4921cfeca9e8e27f2d0b623dc27dabba9abc92 | 10,495 | py | Python | ipt/ipt_filter_contour_by_size.py | tpmp-inra/ipapi | b0f6be8960a20dbf95ef9df96efdd22bd6e031c5 | [
"MIT"
] | 1 | 2020-06-30T06:53:36.000Z | 2020-06-30T06:53:36.000Z | ipt/ipt_filter_contour_by_size.py | tpmp-inra/ipapi | b0f6be8960a20dbf95ef9df96efdd22bd6e031c5 | [
"MIT"
] | null | null | null | ipt/ipt_filter_contour_by_size.py | tpmp-inra/ipapi | b0f6be8960a20dbf95ef9df96efdd22bd6e031c5 | [
"MIT"
] | null | null | null | from ipso_phen.ipapi.base.ipt_abstract import IptBase
from ipso_phen.ipapi.tools import regions
import numpy as np
import cv2
import logging
logger = logging.getLogger(__name__)
from ipso_phen.ipapi.base import ip_common as ipc
class IptFilterContourBySize(IptBase):
def build_params(self):
... | 38.443223 | 107 | 0.429252 | 10,248 | 0.976465 | 0 | 0 | 493 | 0.046975 | 0 | 0 | 1,419 | 0.135207 |
1c49c9837d339902372100015afa8dd09aa825df | 718 | py | Python | tests/main.py | deeso/json-search-replace | d1dd75cfaecb65bf8fcbad0c80a0bd839eccaa8d | [
"Apache-2.0"
] | 1 | 2019-02-08T14:42:45.000Z | 2019-02-08T14:42:45.000Z | tests/main.py | deeso/manipin-json | d1dd75cfaecb65bf8fcbad0c80a0bd839eccaa8d | [
"Apache-2.0"
] | null | null | null | tests/main.py | deeso/manipin-json | d1dd75cfaecb65bf8fcbad0c80a0bd839eccaa8d | [
"Apache-2.0"
] | null | null | null | from wrapper_tests.upsert_test import *
from wrapper_tests.upsertvaluedict_test import *
import os
import logging
import sys
import argparse
import signal
logging.getLogger().setLevel(logging.DEBUG)
ch = logging.StreamHandler(sys.stdout)
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('[%(asctime)s - %(name)s... | 26.592593 | 71 | 0.721448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.183844 |
1c4b4d3e7fde53ff67c2f5b9ffd3aee5b505137c | 598 | py | Python | Sending_email/email.py | Satyam-Bhalla/Python-Scripts | 39c46a362acd63cc5d1b9ab57ecb7250eaff35f7 | [
"MIT"
] | 8 | 2018-09-25T16:30:12.000Z | 2022-03-25T05:13:43.000Z | Sending_email/email.py | Satyam-Bhalla/Python-Scripts | 39c46a362acd63cc5d1b9ab57ecb7250eaff35f7 | [
"MIT"
] | 1 | 2021-03-31T18:43:43.000Z | 2021-03-31T18:43:43.000Z | Sending_email/email.py | Satyam-Bhalla/Python-Scripts | 39c46a362acd63cc5d1b9ab57ecb7250eaff35f7 | [
"MIT"
] | 6 | 2018-01-29T19:00:42.000Z | 2022-03-25T05:13:47.000Z | import smtplib
gmail_user = 'your email'
gmail_password = 'your password'
sent_from = gmail_user
to = ['reciever email'] #Create a list for all the recievers
subject = 'OMG Super Important Message'
body = 'Hey, what\'s up?\n- You'
email_text = """\
From: %s
To: %s
Subject: %s
%s
""" % (sent_from, ", ".... | 21.357143 | 61 | 0.653846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.356187 |
1c4b532b4b156dd08dc3bcca54d167230e8c8b2a | 4,532 | py | Python | FlaskDaemon/load_test.py | caffeinate/test-pylot | 3380208ea0e7ee5fed4299f22ab592a3d3232b3a | [
"MIT"
] | null | null | null | FlaskDaemon/load_test.py | caffeinate/test-pylot | 3380208ea0e7ee5fed4299f22ab592a3d3232b3a | [
"MIT"
] | 1 | 2021-10-31T17:46:54.000Z | 2021-10-31T17:46:54.000Z | FlaskDaemon/load_test.py | caffeinate/test-pylot | 3380208ea0e7ee5fed4299f22ab592a3d3232b3a | [
"MIT"
] | 1 | 2020-07-20T04:10:40.000Z | 2020-07-20T04:10:40.000Z | '''
Created on 11 Sep 2015
@author: si
'''
import json
import random
import time
from threading import Thread
# import urllib
import urllib2
from Queue import Queue
import logging
logger = logging.getLogger(__name__)
API_URL = "http://127.0.0.1:5000/"
class LoadTest(object):
"""
Create a single process with... | 29.23871 | 86 | 0.559797 | 4,205 | 0.927846 | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 0.27361 |
1c4b641cf08d14aaba12ee7b055b0523dd40710b | 407 | py | Python | urls.py | jeylani99/Real-Estate | 5ccb4bf23c73b4acb77427faa202a15216ef58c3 | [
"Apache-2.0"
] | null | null | null | urls.py | jeylani99/Real-Estate | 5ccb4bf23c73b4acb77427faa202a15216ef58c3 | [
"Apache-2.0"
] | null | null | null | urls.py | jeylani99/Real-Estate | 5ccb4bf23c73b4acb77427faa202a15216ef58c3 | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from django.conf.urls import include,url
from .import views
urlpatterns = [
url(r'^$', views.IndexView.as_view(),name='index'),
#homeapp_detail_view_url
url(r'^(?P<pk>[0-9]+)/$',views.LocationView.as_view(),name='property'),
#homeapp/detailview/moredetailview
url(r'... | 29.071429 | 88 | 0.668305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.351351 |
1c4bdbc2c162e12eac3d923f38fe6b53d36966ae | 541 | py | Python | main.py | ngh3053/auto_spacing_with_tensorflow | 0569b734c087d13cdf6cbb8e79dd8c579d7e66e4 | [
"MIT"
] | null | null | null | main.py | ngh3053/auto_spacing_with_tensorflow | 0569b734c087d13cdf6cbb8e79dd8c579d7e66e4 | [
"MIT"
] | null | null | null | main.py | ngh3053/auto_spacing_with_tensorflow | 0569b734c087d13cdf6cbb8e79dd8c579d7e66e4 | [
"MIT"
] | null | null | null | from utils import *
from model import Model2
if __name__ == '__main__':
train_data = DataLoader('../data/trainX.txt', '../data/trainY.txt')
test_data = DataLoader('../data/testX.txt', '../data/testY.txt')
train_data.set_batch(100)
test_data.set_batch(100)
char_dic = CharDic([train_data]... | 28.473684 | 72 | 0.608133 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.210721 |
1c4c3d7288804166b00482d9413cd64068adedd3 | 3,475 | py | Python | src/sardana/taurus/qt/qtgui/extra_macroexecutor/macrodescriptionviewer.py | marc2332/sardana | 48dc9191baaa63f6c714d8c025e8f3f96548ad26 | [
"CC-BY-3.0"
] | 43 | 2016-11-25T15:21:23.000Z | 2021-08-20T06:09:40.000Z | src/sardana/taurus/qt/qtgui/extra_macroexecutor/macrodescriptionviewer.py | marc2332/sardana | 48dc9191baaa63f6c714d8c025e8f3f96548ad26 | [
"CC-BY-3.0"
] | 1,263 | 2016-11-25T15:58:37.000Z | 2021-11-02T22:23:47.000Z | src/sardana/taurus/qt/qtgui/extra_macroexecutor/macrodescriptionviewer.py | marc2332/sardana | 48dc9191baaa63f6c714d8c025e8f3f96548ad26 | [
"CC-BY-3.0"
] | 58 | 2016-11-21T11:33:55.000Z | 2021-09-01T06:21:21.000Z | #!/usr/bin/env python
##############################################################################
##
# This file is part of Sardana
##
# http://www.sardana-controls.org/
##
# Copyright 2011 CELLS / ALBA Synchrotron, Bellaterra, Spain
##
# Sardana is free software: you can redistribute it and/or modify
# it under th... | 35.10101 | 90 | 0.649784 | 1,800 | 0.517986 | 0 | 0 | 0 | 0 | 0 | 0 | 1,466 | 0.421871 |
1c4d007b31f3f642fe520a7abaa4b88348fd22fe | 179 | py | Python | torch/metrics/accuracy_score.py | LilDataScientist/PyTorch-From-Scratch | ae3c0bffc5a36a9a7c123b98f52bdaa32fbedef6 | [
"MIT"
] | null | null | null | torch/metrics/accuracy_score.py | LilDataScientist/PyTorch-From-Scratch | ae3c0bffc5a36a9a7c123b98f52bdaa32fbedef6 | [
"MIT"
] | null | null | null | torch/metrics/accuracy_score.py | LilDataScientist/PyTorch-From-Scratch | ae3c0bffc5a36a9a7c123b98f52bdaa32fbedef6 | [
"MIT"
] | null | null | null | import numpy as np
def accuracy_score(y_true, y_pred):
a = np.argmax(y_true, axis=1)
b = np.argmax(y_pred, axis=1)
return np.count_nonzero(a == b) / y_true.shape[0]
| 22.375 | 53 | 0.664804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1c4e17f4910c6d5e94aabd5e46b41369a206e931 | 462 | py | Python | asaas/financial_transactions.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | null | null | null | asaas/financial_transactions.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | 4 | 2022-02-16T13:53:36.000Z | 2022-02-16T14:10:40.000Z | asaas/financial_transactions.py | marlonjsilva/asaas_sdk_python | 871a199e8156d9baa9f78972232feee38b0608bb | [
"MIT"
] | null | null | null | from asaas.typing import SyncAsync
from typing import Any, Optional, Dict
class FinancialTransactions:
def __init__(self, parent: Any) -> None:
self.parent = parent
def list(
self, query: Optional[Dict[Any, Any]] = None, **kwars: Any
) -> SyncAsync[Any]:
return self.parent.request... | 25.666667 | 66 | 0.588745 | 385 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.075758 |
1c4fabe61f50bb8ab5d328236ac8daab3e74249e | 17,672 | py | Python | datahub/core/serializers.py | uktrade/data-hub-api | c698cba533ff002293b821d01916f6334549f778 | [
"MIT"
] | 6 | 2019-12-02T16:11:24.000Z | 2022-03-18T10:02:02.000Z | datahub/core/serializers.py | uktrade/data-hub-api | c698cba533ff002293b821d01916f6334549f778 | [
"MIT"
] | 1,696 | 2019-10-31T14:08:37.000Z | 2022-03-29T12:35:57.000Z | datahub/core/serializers.py | uktrade/data-hub-api | c698cba533ff002293b821d01916f6334549f778 | [
"MIT"
] | 9 | 2019-11-22T12:42:03.000Z | 2021-09-03T14:25:05.000Z | from functools import partial
from uuid import UUID
from dateutil.parser import parse as dateutil_parse
from django.apps import apps
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from rest_framework import serializers
from rest_framework.exceptions import ValidationError
from r... | 33.093633 | 99 | 0.587992 | 16,871 | 0.954674 | 0 | 0 | 152 | 0.008601 | 0 | 0 | 8,006 | 0.453033 |
1c50b9af34c1306cdbc9fec048d28309381c28e4 | 4,763 | py | Python | samples/s07-rigid-objects/main.py | nomadsinteractive/ark | 52f84c6dbd5ca6bdd07d450b3911be1ffd995922 | [
"Apache-2.0"
] | 5 | 2018-03-28T09:14:55.000Z | 2018-04-02T11:54:33.000Z | samples/s07-rigid-objects/main.py | nomadsinteractive/ark | 52f84c6dbd5ca6bdd07d450b3911be1ffd995922 | [
"Apache-2.0"
] | null | null | null | samples/s07-rigid-objects/main.py | nomadsinteractive/ark | 52f84c6dbd5ca6bdd07d450b3911be1ffd995922 | [
"Apache-2.0"
] | null | null | null | import math
import random
from ark import dear_imgui, ApplicationFacade, Arena, Event, Integer, Collider, RenderObject, Size, Camera, Vec3, Numeric
class Application:
def __init__(self, application: ApplicationFacade):
self._down_x = 0
self._down_y = 0
self._application = application
... | 43.3 | 153 | 0.669116 | 4,491 | 0.942893 | 0 | 0 | 306 | 0.064245 | 0 | 0 | 244 | 0.051228 |
1c51a22587be89037e69f604118ecdbeda84cab5 | 11,693 | py | Python | jamf/models/computer_extension_attribute.py | jensenbox/python-jamf | 85213085b1064a00375a7aa7df5e33c19f5178eb | [
"RSA-MD"
] | 1 | 2021-04-20T15:28:57.000Z | 2021-04-20T15:28:57.000Z | jamf/models/computer_extension_attribute.py | jensenbox/python-jamf | 85213085b1064a00375a7aa7df5e33c19f5178eb | [
"RSA-MD"
] | null | null | null | jamf/models/computer_extension_attribute.py | jensenbox/python-jamf | 85213085b1064a00375a7aa7df5e33c19f5178eb | [
"RSA-MD"
] | null | null | null | # coding: utf-8
"""
Jamf Pro API
## Overview This is a sample Jamf Pro server which allows for usage without any authentication. The Jamf Pro environment which supports the Try it Out functionality does not run the current beta version of Jamf Pro, thus any newly added endpoints will result in an error and sh... | 33.408571 | 342 | 0.625673 | 11,107 | 0.949885 | 0 | 0 | 7,200 | 0.615753 | 0 | 0 | 6,724 | 0.575045 |
1c5289b76fb10d8b256a4000027a462353b8a389 | 1,342 | py | Python | SSOKeyGen/ssokeygendialog.py | chrcoe/sso-keygen | c149f6202fbecb38874c75bf82e0d4857d1249f9 | [
"MIT"
] | null | null | null | SSOKeyGen/ssokeygendialog.py | chrcoe/sso-keygen | c149f6202fbecb38874c75bf82e0d4857d1249f9 | [
"MIT"
] | null | null | null | SSOKeyGen/ssokeygendialog.py | chrcoe/sso-keygen | c149f6202fbecb38874c75bf82e0d4857d1249f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ssokeygendialog.ui'
#
# Created: Sun Feb 1 12:33:36 2015
# by: PyQt5 UI code generator 5.4
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(s... | 38.342857 | 106 | 0.708644 | 1,062 | 0.791356 | 0 | 0 | 0 | 0 | 0 | 0 | 295 | 0.219821 |
1c5370b938a0a9b556d9850b79dfef4883c667c0 | 4,138 | py | Python | util/n_download_util.py | TwrFyr/n-hen.py | 8d20639ee78cc34e4333fb247574ff10af81556c | [
"MIT"
] | null | null | null | util/n_download_util.py | TwrFyr/n-hen.py | 8d20639ee78cc34e4333fb247574ff10af81556c | [
"MIT"
] | 22 | 2020-12-04T15:16:36.000Z | 2021-04-29T12:20:04.000Z | util/n_download_util.py | TwrFyr/n-henpy | 8d20639ee78cc34e4333fb247574ff10af81556c | [
"MIT"
] | null | null | null | import urllib.request
import os
from typing import List
from util.n_util import NUser
from util.n_util import get_n_entry
import time
import threading
from util.array_util import slice_array
delay: float = 2.5
class ProgressWrapper:
"""The progress wrapper keeps track of the progress of a operation by wrapping a... | 38.672897 | 150 | 0.646931 | 532 | 0.128565 | 0 | 0 | 0 | 0 | 0 | 0 | 1,186 | 0.286612 |
1c542217eb772ffd5114bee20efa5d974df6a3d5 | 2,907 | py | Python | stable-baselines/tests/test_deterministic.py | princeton-vl/PackIt | 9894d252c5238d582cba7c3d19540f89d47e4166 | [
"BSD-3-Clause"
] | 49 | 2020-07-24T18:17:12.000Z | 2022-01-04T15:30:52.000Z | stable-baselines/tests/test_deterministic.py | princeton-vl/PackIt | 9894d252c5238d582cba7c3d19540f89d47e4166 | [
"BSD-3-Clause"
] | 14 | 2020-07-21T20:21:08.000Z | 2022-03-12T00:42:18.000Z | stable-baselines/tests/test_deterministic.py | princeton-vl/PackIt | 9894d252c5238d582cba7c3d19540f89d47e4166 | [
"BSD-3-Clause"
] | 5 | 2020-07-27T12:35:00.000Z | 2021-07-19T03:04:21.000Z | import pytest
from stable_baselines import A2C, ACER, ACKTR, DeepQ, DDPG, PPO1, PPO2, TRPO
from stable_baselines.ddpg import AdaptiveParamNoiseSpec
from stable_baselines.common.identity_env import IdentityEnv, IdentityEnvBox
from stable_baselines.common.vec_env import DummyVecEnv
PARAM_NOISE_DDPG = AdaptiveParamNoise... | 40.943662 | 112 | 0.711042 | 0 | 0 | 0 | 0 | 1,738 | 0.597867 | 0 | 0 | 683 | 0.23495 |
1c547eed055111ebe6fcfe3bbff16bf6a9eb3360 | 1,129 | py | Python | tests/models/tensorflow/convert_to_tensorflow_serving.py | filipecosta90/dlbench | 11dd2fb58050c38a4baa429b207aaecad9097ce3 | [
"MIT"
] | 14 | 2019-09-14T16:37:39.000Z | 2022-03-19T08:28:50.000Z | tests/models/tensorflow/convert_to_tensorflow_serving.py | filipecosta90/dlbench | 11dd2fb58050c38a4baa429b207aaecad9097ce3 | [
"MIT"
] | 40 | 2019-11-14T16:07:08.000Z | 2022-03-29T21:47:15.000Z | tests/models/tensorflow/convert_to_tensorflow_serving.py | filipecosta90/dlbench | 11dd2fb58050c38a4baa429b207aaecad9097ce3 | [
"MIT"
] | 2 | 2021-01-07T01:50:53.000Z | 2021-02-24T22:22:23.000Z | import tensorflow as tf
from tensorflow.python.saved_model import signature_constants
from tensorflow.python.saved_model import tag_constants
export_dir = './reference/00000002'
graph_pb = './creditcardfraud.pb'
builder = tf.saved_model.builder.SavedModelBuilder(export_dir)
with tf.gfile.GFile(graph_pb, "rb") as f:
... | 34.212121 | 70 | 0.689105 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.162976 |
1c54af7d2bc1fc02891b6239b955a52d082c20b2 | 936 | py | Python | pycuda/characterize.py | grlee77/pycuda | cfb787ac73a523fe4b32eff31ecffac485388bbf | [
"Apache-2.0"
] | null | null | null | pycuda/characterize.py | grlee77/pycuda | cfb787ac73a523fe4b32eff31ecffac485388bbf | [
"Apache-2.0"
] | null | null | null | pycuda/characterize.py | grlee77/pycuda | cfb787ac73a523fe4b32eff31ecffac485388bbf | [
"Apache-2.0"
] | 1 | 2020-08-31T08:52:24.000Z | 2020-08-31T08:52:24.000Z | from __future__ import division
from __future__ import absolute_import
from pycuda.tools import context_dependent_memoize
import numpy as np
def platform_bits():
return tuple.__itemsize__ * 8
def has_stack():
from pycuda.driver import Context
return Context.get_device().compute_capability() >= (2, 0)
... | 24 | 72 | 0.700855 | 0 | 0 | 0 | 0 | 485 | 0.518162 | 0 | 0 | 134 | 0.143162 |
1c5536cbf34d028ddd3a2b10367f5360508e1251 | 1,666 | py | Python | bopt/transforms.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | 2 | 2020-05-19T15:48:37.000Z | 2021-08-16T10:41:49.000Z | bopt/transforms.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | null | null | null | bopt/transforms.py | georgedeath/bomean | 0dad35e0d584cf7c46c9a8cb0445f225875cfa86 | [
"MIT"
] | null | null | null | import torch
from scipy.stats import median_absolute_deviation
class Transform_Base(object):
"""
Base class for transformations based on some data.
"""
def __init__(self, Ytr):
self.Ytr = Ytr
# Transform the mean
def scale_mean(self, mu):
return mu
# Reve... | 25.630769 | 76 | 0.617047 | 1,583 | 0.95018 | 0 | 0 | 0 | 0 | 0 | 0 | 284 | 0.170468 |
1c556489b0d99f41db32e59ce5f01f383067703c | 2,797 | py | Python | pygs/graphserver/compiler/dedupe.py | abyrd/graphserver | 42edcad2618635310c57fa6ab4a13974025248ba | [
"BSD-3-Clause-Clear"
] | 2 | 2015-02-25T21:46:02.000Z | 2019-04-27T20:22:33.000Z | pygs/graphserver/compiler/dedupe.py | ninowalker/graphserver | dc08070bc6e295986633cf510ca46a2f8d451b92 | [
"BSD-3-Clause-Clear"
] | null | null | null | pygs/graphserver/compiler/dedupe.py | ninowalker/graphserver | dc08070bc6e295986633cf510ca46a2f8d451b92 | [
"BSD-3-Clause-Clear"
] | null | null | null | # eliminate duplicate service periods from a GTFS database
from graphserver.ext.gtfs.gtfsdb import GTFSDatabase
import sys
from optparse import OptionParser
def main():
usage = """usage: python dedupe.py <graphdb_filename>"""
parser = OptionParser(usage=usage)
(options, args) = parser.parse_args()
... | 39.957143 | 271 | 0.631748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,019 | 0.364319 |
1c5786ec0bae08a5ef1c18dbc1ab79a0a17bfc34 | 105 | py | Python | 10/01/03/2.py | pylangstudy/201707 | c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6 | [
"CC0-1.0"
] | null | null | null | 10/01/03/2.py | pylangstudy/201707 | c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6 | [
"CC0-1.0"
] | 46 | 2017-06-30T22:19:07.000Z | 2017-07-31T22:51:31.000Z | 10/01/03/2.py | pylangstudy/201707 | c1cc72667f1e0b6e8eef4ee85067d7fa4ca500b6 | [
"CC0-1.0"
] | null | null | null | class MyClass:
def __repr__(self): return self.__class__.__name__ + '()'
print(MyClass().__repr__())
| 26.25 | 61 | 0.704762 | 76 | 0.72381 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.038095 |
1c57a86a468018b2042fa4b09d8dfca249bb7498 | 9,562 | py | Python | tests/tasks/core/test_core.py | andykawabata/prefect | a11061c19847beeea26616ccaf4b404ad939676b | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-09-28T16:24:02.000Z | 2020-10-08T17:08:19.000Z | tests/tasks/core/test_core.py | andykawabata/prefect | a11061c19847beeea26616ccaf4b404ad939676b | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2021-06-28T20:52:27.000Z | 2022-02-27T13:04:42.000Z | tests/tasks/core/test_core.py | yalaudah/prefect | 2f7f92c39a4575119c3268b0415841c6aca5df60 | [
"Apache-2.0"
] | 1 | 2020-05-04T13:22:11.000Z | 2020-05-04T13:22:11.000Z | import pytest
from prefect.core import Edge, Flow, Parameter, Task
from prefect.tasks.core import collections
from prefect.tasks.core.constants import Constant
from prefect.tasks.core.function import FunctionTask
class IdentityTask(Task):
def run(self, x):
return x
class TestConstant:
def test_cons... | 33.787986 | 87 | 0.587743 | 9,336 | 0.976365 | 0 | 0 | 0 | 0 | 0 | 0 | 683 | 0.071429 |
1c57c91d84e8ef886ecab5c688f26666500663aa | 536 | py | Python | Tree/node.py | philipwerner/python_data_structures | 554c38376b732f65c5c168d0e1bd30bea3d1ab6b | [
"MIT"
] | null | null | null | Tree/node.py | philipwerner/python_data_structures | 554c38376b732f65c5c168d0e1bd30bea3d1ab6b | [
"MIT"
] | null | null | null | Tree/node.py | philipwerner/python_data_structures | 554c38376b732f65c5c168d0e1bd30bea3d1ab6b | [
"MIT"
] | null | null | null | """Node class module for Binary Tree."""
class Node(object):
"""The Node class."""
def __init__(self, value):
"""Initialization of node object."""
self.value = value
self.left = None
self.right = None
def __str__(self):
"""Return a string representation of the nod... | 26.8 | 88 | 0.585821 | 492 | 0.91791 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.541045 |
1c5842430ac7ddf81b0dae7e72f5e8595722304e | 26,713 | py | Python | qutip/operators.py | pschindler/qutip | dc399135b77a01077898e13bb7d30d60db9b6e67 | [
"BSD-3-Clause"
] | 1 | 2018-05-31T17:38:03.000Z | 2018-05-31T17:38:03.000Z | qutip/operators.py | pschindler/qutip | dc399135b77a01077898e13bb7d30d60db9b6e67 | [
"BSD-3-Clause"
] | 3 | 2021-08-23T19:00:52.000Z | 2021-08-24T21:38:04.000Z | qutip/operators.py | pschindler/qutip | dc399135b77a01077898e13bb7d30d60db9b6e67 | [
"BSD-3-Clause"
] | 2 | 2017-08-11T11:14:52.000Z | 2022-03-13T21:37:47.000Z | # This file is part of QuTiP: Quantum Toolbox in Python.
#
# Copyright (c) 2011 and later, Paul D. Nation and Robert J. Johansson.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
... | 26.370188 | 79 | 0.573129 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19,474 | 0.729008 |
1c59215728acaff76dbcdca05ce20bf9c254f9f4 | 1,627 | py | Python | tests/test_deepsv.py | lsantuari/deepsv | debaa1442d1d97b8220be70e12321cf047d3e6a0 | [
"Apache-2.0"
] | null | null | null | tests/test_deepsv.py | lsantuari/deepsv | debaa1442d1d97b8220be70e12321cf047d3e6a0 | [
"Apache-2.0"
] | null | null | null | tests/test_deepsv.py | lsantuari/deepsv | debaa1442d1d97b8220be70e12321cf047d3e6a0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from deepsv import deepsv
from unittest.mock import patch
"""Tests for the deepsv module.
"""
def test_something():
assert True
def test_adding_numbers():
assert deepsv.add_numbers(1, 1) == 2
assert deepsv.add_numbers(1, 2) != 2
def test_wi... | 22.287671 | 71 | 0.695144 | 0 | 0 | 0 | 0 | 469 | 0.288261 | 0 | 0 | 437 | 0.268593 |
1c59d4c3c8cb7118c29dce871107ae825dc23c99 | 8,959 | py | Python | tcex/bin/dep.py | phuerta-tc/tcex | 4a4e800e1a6114c1fde663f8c3ab7a1d58045c79 | [
"Apache-2.0"
] | null | null | null | tcex/bin/dep.py | phuerta-tc/tcex | 4a4e800e1a6114c1fde663f8c3ab7a1d58045c79 | [
"Apache-2.0"
] | null | null | null | tcex/bin/dep.py | phuerta-tc/tcex | 4a4e800e1a6114c1fde663f8c3ab7a1d58045c79 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""TcEx Dependencies Command"""
# standard library
import os
import platform
import shutil
import subprocess # nosec
import sys
from distutils.version import StrictVersion # pylint: disable=no-name-in-module
from pathlib import Path
from typing import List
from urllib.parse import quote
# third... | 36.125 | 99 | 0.58444 | 8,498 | 0.948543 | 0 | 0 | 743 | 0.082933 | 0 | 0 | 3,089 | 0.344793 |
1c5a7f175c98d892dc83db59726cb2f27a8bed94 | 2,198 | py | Python | parser/fase2/team20/execution/executeSentence2.py | LopDlMa/tytus | 0b43ee1c7300cb11ddbe593e08239321b71dc443 | [
"MIT"
] | null | null | null | parser/fase2/team20/execution/executeSentence2.py | LopDlMa/tytus | 0b43ee1c7300cb11ddbe593e08239321b71dc443 | [
"MIT"
] | null | null | null | parser/fase2/team20/execution/executeSentence2.py | LopDlMa/tytus | 0b43ee1c7300cb11ddbe593e08239321b71dc443 | [
"MIT"
] | null | null | null | from .AST.sentence import *
from .AST.expression import *
from .AST.error import *
import sys
sys.path.append("../")
from console import *
def executeSentence2(self, sentence):
if isinstance(sentence, CreateDatabase):
h=0
elif isinstance(sentence, ShowDatabases):
h=0
e... | 36.032787 | 135 | 0.641947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.117834 |
1c5b0f1bcbcc57bddee91b24e585d8faf96244eb | 5,592 | py | Python | src/test/cli/component.py | huseyinbolt/cord-tester | ed9b79916e6326a45bfaf3227b8ff922d76df4f1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/test/cli/component.py | huseyinbolt/cord-tester | ed9b79916e6326a45bfaf3227b8ff922d76df4f1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/test/cli/component.py | huseyinbolt/cord-tester | ed9b79916e6326a45bfaf3227b8ff922d76df4f1 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# Copyright 2017-present Open Networking Foundation
#
# 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 ag... | 35.392405 | 76 | 0.619456 | 3,482 | 0.622675 | 0 | 0 | 0 | 0 | 0 | 0 | 3,004 | 0.537196 |
1c5cd63de747901926f8ddd0a4d149ca05999677 | 2,575 | py | Python | python-framework/handlers/base/auth.py | huangxingx/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 7 | 2019-10-24T03:26:22.000Z | 2019-10-27T14:55:07.000Z | python-framework/handlers/base/auth.py | PJoemu/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 3 | 2021-06-08T19:13:10.000Z | 2022-01-13T00:38:48.000Z | python-framework/handlers/base/auth.py | PJoemu/python-framework | a62618b0ee5ecff9de426327892cdd690d10510d | [
"MIT"
] | 2 | 2019-10-25T03:54:51.000Z | 2020-06-28T08:50:12.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @author: x.huang
# @date:17-8-4
import logging
from pony.orm import db_session
from handlers.base.base import BaseRequestHandler
class LoginRequireError(Exception):
pass
class AuthBaseHandler(BaseRequestHandler):
""" 登录验证的基类 """
def prepare(self):
... | 32.1875 | 107 | 0.533204 | 2,399 | 0.926613 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.053689 |
1c5d3932d3d58eb3852f548752bb665e5c02d910 | 475 | py | Python | pysol/core/helpers.py | lotfio/pysol | 34fac6d1ec246a7a037d8237e00974a9a9548faa | [
"MIT"
] | 2 | 2019-10-09T21:58:20.000Z | 2020-01-08T07:29:28.000Z | pysol/core/helpers.py | lotfio/pysol | 34fac6d1ec246a7a037d8237e00974a9a9548faa | [
"MIT"
] | null | null | null | pysol/core/helpers.py | lotfio/pysol | 34fac6d1ec246a7a037d8237e00974a9a9548faa | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#| This file is part of cony
#|
#| @package Pysol python cli application
#| @author <lotfio lakehal>
#| @license MIT
#| @version 0.1.0
#| @copyright 2019 lotfio lakehal
import sys
# load module function
# this function loads a module by string name
def load_module(module):
... | 23.75 | 53 | 0.673684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 272 | 0.572632 |
1c5dc3f5290f019cca3cade7daba3d9be28fa2da | 6,387 | py | Python | autograd_hacks/test_autograd_hacks.py | jusjusjus/autograd-hacks | c12556d03e40cccaa0e70e14b0120b723002ed9e | [
"Unlicense"
] | 1 | 2020-05-01T12:14:43.000Z | 2020-05-01T12:14:43.000Z | autograd_hacks/test_autograd_hacks.py | jusjusjus/autograd-hacks | c12556d03e40cccaa0e70e14b0120b723002ed9e | [
"Unlicense"
] | null | null | null | autograd_hacks/test_autograd_hacks.py | jusjusjus/autograd-hacks | c12556d03e40cccaa0e70e14b0120b723002ed9e | [
"Unlicense"
] | null | null | null |
import torch
import torch.nn as nn
import torch.nn.functional as F
import pytest
from . import autograd_hacks
class StriddenNet(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(1, 20, 5, stride=2, padding=2)
self.conv2 = nn.Conv2d(20, 30, 5, stride=2, padding=2)
... | 29.706977 | 102 | 0.614686 | 2,143 | 0.335525 | 0 | 0 | 2,217 | 0.347111 | 0 | 0 | 463 | 0.072491 |
1c5e34faccefb41600dc36e2445e46683f4cb6c1 | 5,213 | py | Python | tests/test_command.py | paulfurley/Mailpile | f89611d916e41e74dd00997327a2c2d042a96399 | [
"Apache-2.0"
] | 1 | 2017-04-19T11:10:05.000Z | 2017-04-19T11:10:05.000Z | tests/test_command.py | paulfurley/Mailpile | f89611d916e41e74dd00997327a2c2d042a96399 | [
"Apache-2.0"
] | null | null | null | tests/test_command.py | paulfurley/Mailpile | f89611d916e41e74dd00997327a2c2d042a96399 | [
"Apache-2.0"
] | null | null | null | import unittest
import mailpile
from mock import patch
from mailpile.commands import Action as action
from tests import MailPileUnittest
class TestCommands(MailPileUnittest):
def test_index(self):
res = self.mp.rescan()
self.assertEqual(res.as_dict()["status"], 'success')
def test_search(sel... | 32.378882 | 87 | 0.619029 | 5,014 | 0.961826 | 0 | 0 | 0 | 0 | 0 | 0 | 854 | 0.163821 |
1c5fd36ae0b1a46a987890321b0748ee13ed63f6 | 7,739 | py | Python | navrep/envs/rosnavtrainencodedenv.py | ReykCS/navrep | 22ee4727268188414a8121f069e45c2ab798ca19 | [
"MIT"
] | null | null | null | navrep/envs/rosnavtrainencodedenv.py | ReykCS/navrep | 22ee4727268188414a8121f069e45c2ab798ca19 | [
"MIT"
] | null | null | null | navrep/envs/rosnavtrainencodedenv.py | ReykCS/navrep | 22ee4727268188414a8121f069e45c2ab798ca19 | [
"MIT"
] | null | null | null | from gym import spaces
import numpy as np
from scipy import interpolate
import yaml
from navrep.envs.navreptrainenv import NavRepTrainEnv
from navrep.rosnav_models.utils.reward import RewardCalculator
from navrep.rosnav_models.utils.reward import RewardCalculator
class RosnavTrainEncodedEnv(NavRepTrainEnv):
""" ... | 35.663594 | 127 | 0.580178 | 7,472 | 0.965499 | 0 | 0 | 265 | 0.034242 | 0 | 0 | 1,333 | 0.172244 |
1c6030cb89b906c901110530b42acd2d1d95f2a5 | 9,789 | py | Python | pdm/models/repositories.py | gaojiuli/pdm | 9aedd12e864b57826e850a10eeea45900bb62aad | [
"MIT"
] | 1 | 2021-02-04T19:43:38.000Z | 2021-02-04T19:43:38.000Z | pdm/models/repositories.py | gaojiuli/pdm | 9aedd12e864b57826e850a10eeea45900bb62aad | [
"MIT"
] | null | null | null | pdm/models/repositories.py | gaojiuli/pdm | 9aedd12e864b57826e850a10eeea45900bb62aad | [
"MIT"
] | null | null | null | from __future__ import annotations
import sys
from functools import wraps
from typing import TYPE_CHECKING, Callable, Dict, Iterable, List, Optional, Tuple
from pdm._types import CandidateInfo, Source
from pdm.context import context
from pdm.exceptions import CandidateInfoNotFound, CorruptedCacheError
from pdm.models... | 39.156 | 88 | 0.629073 | 8,786 | 0.897538 | 0 | 0 | 2,026 | 0.206967 | 0 | 0 | 1,855 | 0.189498 |
1c6036ce4a4bea03f2bf60037b8ba69bf71a83e1 | 713 | py | Python | tests/backends/test_cookie.py | euri10/starsessions | 6bd258a0f94d30b6ec4a8da41910f97c5dabbe54 | [
"MIT"
] | 31 | 2021-07-15T13:00:06.000Z | 2022-03-17T08:25:52.000Z | tests/backends/test_cookie.py | euri10/starsessions | 6bd258a0f94d30b6ec4a8da41910f97c5dabbe54 | [
"MIT"
] | 6 | 2021-09-01T15:25:20.000Z | 2022-03-13T07:29:19.000Z | tests/backends/test_cookie.py | euri10/starsessions | 6bd258a0f94d30b6ec4a8da41910f97c5dabbe54 | [
"MIT"
] | 5 | 2021-08-19T04:46:35.000Z | 2022-03-09T15:27:22.000Z | import pytest
from starsessions import SessionBackend
@pytest.mark.asyncio
async def test_cookie_read_write(cookie: SessionBackend, session_payload: dict) -> None:
new_id = await cookie.write(session_payload, "session_id")
assert await cookie.read(new_id) == session_payload
@pytest.mark.asyncio
async def t... | 27.423077 | 88 | 0.775596 | 0 | 0 | 0 | 0 | 646 | 0.906031 | 562 | 0.788219 | 36 | 0.050491 |
1c60d6b7074a5670b3d1308323fd21a043a33869 | 4,888 | py | Python | sqlalchemy_dremio/db.py | thbeh/sqlalchemy_dremio | 180169a86200977a8087d39afe67d3594bd66523 | [
"Apache-2.0"
] | 14 | 2020-04-19T16:14:37.000Z | 2021-11-14T01:45:51.000Z | sqlalchemy_dremio/db.py | thbeh/sqlalchemy_dremio | 180169a86200977a8087d39afe67d3594bd66523 | [
"Apache-2.0"
] | 13 | 2020-04-18T14:44:49.000Z | 2022-03-14T13:45:22.000Z | sqlalchemy_dremio/db.py | thbeh/sqlalchemy_dremio | 180169a86200977a8087d39afe67d3594bd66523 | [
"Apache-2.0"
] | 6 | 2020-04-29T10:18:59.000Z | 2021-08-19T13:46:30.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
from pyarrow import flight
from sqlalchemy_dremio.exceptions import Error, NotSupportedError
from sqlalchemy_dremio.flight_auth import HttpDremioClientAu... | 25.591623 | 115 | 0.618658 | 3,829 | 0.783347 | 0 | 0 | 2,560 | 0.523732 | 0 | 0 | 1,362 | 0.278642 |
1c61e6c641ff5d3b13cd3eb58254039918bc75f6 | 2,081 | py | Python | docker-images/rasa2/snips_services/tts_server.py | sanyaade-machine-learning/opensnips_original | 3c7d4aa2ef7dec7b0b8c532a537b79c3ef9df7cc | [
"MIT"
] | 57 | 2017-12-28T22:50:20.000Z | 2022-01-25T16:05:36.000Z | docker-images/rasa2/snips_services/tts_server.py | sanyaade-machine-learning/opensnips_original | 3c7d4aa2ef7dec7b0b8c532a537b79c3ef9df7cc | [
"MIT"
] | 28 | 2018-04-18T06:45:20.000Z | 2022-03-08T22:50:50.000Z | docker-images/rasa2/snips_services/tts_server.py | sanyaade-machine-learning/opensnips_original | 3c7d4aa2ef7dec7b0b8c532a537b79c3ef9df7cc | [
"MIT"
] | 18 | 2017-12-27T01:57:14.000Z | 2021-03-02T14:13:06.000Z | #!/opt/rasa/anaconda/bin/python
# -*-: coding utf-8 -*-
""" Snips core and nlu server. """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import time
import os
from socket import error as socket_error
fr... | 29.728571 | 166 | 0.605478 | 1,517 | 0.728976 | 0 | 0 | 0 | 0 | 0 | 0 | 604 | 0.290245 |
1c625b305422a96fe496b35f015f87dde84dd1cd | 462 | py | Python | gtd/migrations/0018_context_color.py | jimbofreedman/naggingnelly-api | 510d801791dcce39560bac227c12e5f6d9e80dcc | [
"BSD-3-Clause"
] | null | null | null | gtd/migrations/0018_context_color.py | jimbofreedman/naggingnelly-api | 510d801791dcce39560bac227c12e5f6d9e80dcc | [
"BSD-3-Clause"
] | null | null | null | gtd/migrations/0018_context_color.py | jimbofreedman/naggingnelly-api | 510d801791dcce39560bac227c12e5f6d9e80dcc | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.9 on 2018-08-02 17:53
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gtd', '0017_auto_20180108_1508'),
]
operations = [
migrations.AddField(
... | 22 | 67 | 0.614719 | 304 | 0.658009 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.270563 |
1c627c266e817eb089303a3e29f35bf34a1b6c4c | 6,652 | py | Python | neuralintents/main.py | nitori/neuralintents | 7a63075fbdca24ec6a6e5281552f64325dd279ff | [
"MIT"
] | null | null | null | neuralintents/main.py | nitori/neuralintents | 7a63075fbdca24ec6a6e5281552f64325dd279ff | [
"MIT"
] | null | null | null | neuralintents/main.py | nitori/neuralintents | 7a63075fbdca24ec6a6e5281552f64325dd279ff | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
import random
import json
import pickle
import numpy as np
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import nltk
from nltk.stem import WordNetLemmatizer
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout
from tensorflow.... | 33.766497 | 109 | 0.599519 | 6,180 | 0.929044 | 0 | 0 | 457 | 0.068701 | 0 | 0 | 778 | 0.116957 |
1c63f92718131c9edb3951c411929fc66600dca1 | 607 | py | Python | cogs/TieThePie.py | Engineer152/Engineer-Bot | 9654666776d5ba91b1c8afdb32c86a7aedad7143 | [
"MIT"
] | null | null | null | cogs/TieThePie.py | Engineer152/Engineer-Bot | 9654666776d5ba91b1c8afdb32c86a7aedad7143 | [
"MIT"
] | null | null | null | cogs/TieThePie.py | Engineer152/Engineer-Bot | 9654666776d5ba91b1c8afdb32c86a7aedad7143 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands
client = commands.Bot(command_prefix='your prefix',owner_ids = {your user id},case_insensitive=True )
class TieThePie(commands.Cog):
def __init__(self,client):
self.client=client
@commands.command()
async def tiethepie(self,ctx):
embed=discord.Embed(title... | 33.722222 | 224 | 0.742998 | 402 | 0.653659 | 0 | 0 | 317 | 0.515447 | 295 | 0.479675 | 186 | 0.302439 |
1c6537848455d77ed4e22e5c61b4d2a5153fa5e0 | 3,359 | py | Python | python/lsst/eotest/simulation/generate_Fe55_images.py | tguillemLSST/eotest | c6f150984fa5dff85b9805028645bf46fc846f11 | [
"BSD-3-Clause-LBNL"
] | 3 | 2016-04-21T07:05:45.000Z | 2020-08-05T08:37:37.000Z | python/lsst/eotest/simulation/generate_Fe55_images.py | tguillemLSST/eotest | c6f150984fa5dff85b9805028645bf46fc846f11 | [
"BSD-3-Clause-LBNL"
] | 70 | 2015-03-26T09:48:53.000Z | 2020-04-22T16:29:43.000Z | python/lsst/eotest/simulation/generate_Fe55_images.py | tguillemLSST/eotest | c6f150984fa5dff85b9805028645bf46fc846f11 | [
"BSD-3-Clause-LBNL"
] | 5 | 2017-08-15T20:52:44.000Z | 2022-03-25T12:54:07.000Z | """
@brief Generate Fe55 images and associated darks and bias images
according to section 5.4 of the E/O document (Dec 19, 2012 version).
@author J. Chiang <jchiang@slac.stanford.edu>
"""
import os
import numpy as np
from sim_inputs import *
from sim_tools import *
def generate_Fe55_images(exptimes, nxrays, outdir, ... | 39.988095 | 74 | 0.61953 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.167609 |
1c6615aacc368931eb1fadc13190d4aad9dc4cda | 32,663 | py | Python | pcdet/models/backbones_3d/pfe/voxel_set_abstraction.py | rayguan97/M3DETR | cb76890a28c1555f2c0138030e0a432df6ee731b | [
"Apache-2.0"
] | 21 | 2022-01-21T11:02:15.000Z | 2022-03-08T14:55:30.000Z | pcdet/models/backbones_3d/pfe/voxel_set_abstraction.py | rayguan97/M3DETR | cb76890a28c1555f2c0138030e0a432df6ee731b | [
"Apache-2.0"
] | 2 | 2022-01-21T08:10:49.000Z | 2022-01-21T23:44:40.000Z | pcdet/models/backbones_3d/pfe/voxel_set_abstraction.py | rayguan97/M3DETR | cb76890a28c1555f2c0138030e0a432df6ee731b | [
"Apache-2.0"
] | 3 | 2022-01-21T11:41:55.000Z | 2022-01-24T14:20:19.000Z | import math
import numpy as np
import torch
import torch.nn as nn
from ....ops.pointnet2.pointnet2_stack import pointnet2_modules as pointnet2_stack_modules
from ....ops.pointnet2.pointnet2_stack import pointnet2_utils as pointnet2_stack_utils
from ....utils import common_utils
from ...backbones_2d.transformer import ... | 42.585398 | 174 | 0.608732 | 28,374 | 0.868689 | 0 | 0 | 2,071 | 0.063405 | 0 | 0 | 3,875 | 0.118636 |
1c66241d3877e47cd775f05edef325a5a8e7b8d8 | 451 | py | Python | metabot2txt/display.py | HeitorBoschirolli/metabot2txt | 845c6b1042f7e586cf80de56e78c976e3c919f0a | [
"MIT"
] | null | null | null | metabot2txt/display.py | HeitorBoschirolli/metabot2txt | 845c6b1042f7e586cf80de56e78c976e3c919f0a | [
"MIT"
] | null | null | null | metabot2txt/display.py | HeitorBoschirolli/metabot2txt | 845c6b1042f7e586cf80de56e78c976e3c919f0a | [
"MIT"
] | null | null | null | import os
def display_on_editor(text):
with open('.metabot2txt', 'w') as f:
f.write(text)
os.system('gedit .metabot2txt')
def display_list_on_editor(texts):
if os.path.isfile('.metabot2txt'):
os.remove('.metabot2txt')
for text in texts:
with open('.metabot2txt', 'a') as ... | 22.55 | 64 | 0.536585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.321508 |
1c66f42291c5ccace3a10ed12cc3202e55caf594 | 47,394 | py | Python | cogs/errors.py | i1470s/IVRY | 922908b19b57881ad6fef2b45fabe6bc1ff7a298 | [
"MIT"
] | 3 | 2020-10-03T20:53:39.000Z | 2020-10-11T07:58:57.000Z | cogs/errors.py | i1470s/IVRY | 922908b19b57881ad6fef2b45fabe6bc1ff7a298 | [
"MIT"
] | 3 | 2020-10-11T22:23:30.000Z | 2020-10-14T16:54:37.000Z | cogs/errors.py | i1470s/IVRY | 922908b19b57881ad6fef2b45fabe6bc1ff7a298 | [
"MIT"
] | null | null | null | #PRIMARY IMPORTS
import discord, os, datetime, sys, json, traceback, logging
#SECONDARY IMPORTS
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from discord.ext import commands
from data import config
#LOGGING
logger = logging.getLogger("ivry")
logger.debug("errors.py Started")
class Er... | 65.551867 | 138 | 0.531502 | 47,022 | 0.992151 | 0 | 0 | 46,863 | 0.988796 | 46,828 | 0.988058 | 14,451 | 0.304912 |
1c672bcb64cc19b33318c71e9093a770db7e263e | 1,315 | py | Python | Using Python to Access Web Data/Problem 6_Extracting Data from JSON 5.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | Using Python to Access Web Data/Problem 6_Extracting Data from JSON 5.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | Using Python to Access Web Data/Problem 6_Extracting Data from JSON 5.py | Karoline0097/University-of-Michigan-Python-for-Everybody | 8b3999638c0c074ae3c1120de87cf8f31740ebb8 | [
"MIT"
] | null | null | null | ## Problem 5: Extracting Data from JSON
# Example: http://py4e-data.dr-chuck.net/comments_42.json
# data consists of a number of names and comment counts in JSON
# {
# comments: [
# {
# name: "Matthias"
# count: 97
# },
# {
# name: "Geomer"
# count: 97
# }
# ...
# ]
# }
... | 24.811321 | 90 | 0.686692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 846 | 0.643346 |
1c67babe06797acaab8d0e9b738376ce3cb3ee88 | 376 | py | Python | lessons/day_05/python/app.py | jiaguilera/a-walk-in-graphql | ed4f44b4f4bf283cc7342141eb8127a2745ea2d7 | [
"MIT"
] | 16 | 2020-06-16T17:12:16.000Z | 2021-12-03T14:19:38.000Z | lessons/day_05/python/app.py | martinarnesi/a-walk-in-graphql | 56cd949cbeb4c4322882bd15398a867b16900ccd | [
"MIT"
] | 8 | 2020-06-11T21:53:03.000Z | 2020-07-26T01:47:10.000Z | lessons/day_05/python/app.py | martinarnesi/a-walk-in-graphql | 56cd949cbeb4c4322882bd15398a867b16900ccd | [
"MIT"
] | 9 | 2020-06-15T13:09:57.000Z | 2022-03-06T14:49:17.000Z | from ariadne import make_executable_schema, load_schema_from_path
from ariadne.asgi import GraphQL
from resolvers import query, skill, person, eye_color, mutation
# import schema from GraphQL file
type_defs = load_schema_from_path("./schema.gql")
schema = make_executable_schema(
type_defs, query, skill, person, ... | 28.923077 | 65 | 0.800532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.125 |
1c6bbe01f2a25c56bbd4e7b84c94d14c49d0cee9 | 1,127 | py | Python | src/__main__.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/__main__.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/__main__.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | import importlib
import time
from pathlib import Path
import os
import sys
def import_plugins():
#find actual path
realpath = os.path.realpath(__file__)
dirname = os.path.dirname(realpath)
#add modules & plugins
plugin_path = os.path.join(dirname, "plugins")
for dir_path in Path(plugin_path).... | 21.673077 | 92 | 0.624667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 353 | 0.313221 |
1c6d48cdfb7c008c470c879e2a06b5ce0223008d | 1,208 | py | Python | src/decanter/core/extra/utils.py | MatthewK3023/decanter-ai-core-sdk | d09a0316d5c3f28d55fd0dd83ef7f3e141d421de | [
"MIT"
] | null | null | null | src/decanter/core/extra/utils.py | MatthewK3023/decanter-ai-core-sdk | d09a0316d5c3f28d55fd0dd83ef7f3e141d421de | [
"MIT"
] | null | null | null | src/decanter/core/extra/utils.py | MatthewK3023/decanter-ai-core-sdk | d09a0316d5c3f28d55fd0dd83ef7f3e141d421de | [
"MIT"
] | null | null | null | """
Functions support other modules.
"""
import uuid
def check_response(response, key=None):
"""CHeck the api response.
Make sure the status call is successful and the response have specific key.
Return:
class: `Response <Response>`
"""
code = response.status_code
if not 200 <= code ... | 23.686275 | 79 | 0.626656 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 541 | 0.447848 |
1c6e264ceb5ab2e61f2f2b6e3294aa8858b8f9fd | 1,064 | py | Python | 03/03.py | stevenpclark/aoc2021 | 726009e5a2a87025943a736e8676784ca7cdc8bd | [
"MIT"
] | 1 | 2021-11-30T05:25:58.000Z | 2021-11-30T05:25:58.000Z | 03/03.py | stevenpclark/aoc2021 | 726009e5a2a87025943a736e8676784ca7cdc8bd | [
"MIT"
] | null | null | null | 03/03.py | stevenpclark/aoc2021 | 726009e5a2a87025943a736e8676784ca7cdc8bd | [
"MIT"
] | null | null | null | import numpy as np
def filter_data(data, use_most_common):
_, nc = data.shape
for c in range(nc):
nr, _ = data.shape
if nr <= 1:
break
col_score = sum(data[:,c])/nr
if use_most_common:
keep_val = col_score >= 0.5
else:
keep_va... | 20.461538 | 67 | 0.535714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.034774 |
1c6f742ff7bb6409fa5b1d806e2433034d2aa878 | 1,096 | py | Python | distillation/build_student.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | null | null | null | distillation/build_student.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | 1 | 2021-01-05T10:41:24.000Z | 2021-01-05T10:41:24.000Z | distillation/build_student.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | 1 | 2020-08-07T02:56:20.000Z | 2020-08-07T02:56:20.000Z | import tensorflow as tf
import numpy as np
with tf.variable_scope("student"):
input_label = tf.placeholder(dtype=tf.float32, shape=[10, 10], name="label")
input_image = tf.placeholder(dtype=tf.float32, shape=[10, 224, 224, 3], name="input")
conv1 = tf.layers.conv2d(inputs=input_image, filters=64, kernel_s... | 40.592593 | 96 | 0.681569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 0.061131 |
1c70409e75cdadbb3949d0d1cde6a6029abd620b | 5,365 | py | Python | code/statistical_tests.py | ChamiLamelas/Math36B_FinalProject | 0bdb5d17769553a4edb163534c21cc641860a07a | [
"MIT"
] | null | null | null | code/statistical_tests.py | ChamiLamelas/Math36B_FinalProject | 0bdb5d17769553a4edb163534c21cc641860a07a | [
"MIT"
] | null | null | null | code/statistical_tests.py | ChamiLamelas/Math36B_FinalProject | 0bdb5d17769553a4edb163534c21cc641860a07a | [
"MIT"
] | null | null | null | import scipy.stats
import numpy as np
def f_test(sample_x, sample_y, larger_varx_alt):
"""
Computes the F-value and corresponding p-value for a pair of samples and alternative hypothesis.
Parameters
----------
sample_x : list
A random sample x1,...,xnx. Let its (underlying) variance be ox... | 41.269231 | 261 | 0.654054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,540 | 0.659832 |
1c71ba0a22523d640266f7845ef799a8f73cbe39 | 243 | py | Python | pawpyseed/compiler.py | akashkumarsingh612/pawpyseed | 6f5aa0b8ca8c28a0221e5256afeb939c3344560b | [
"BSD-3-Clause"
] | null | null | null | pawpyseed/compiler.py | akashkumarsingh612/pawpyseed | 6f5aa0b8ca8c28a0221e5256afeb939c3344560b | [
"BSD-3-Clause"
] | null | null | null | pawpyseed/compiler.py | akashkumarsingh612/pawpyseed | 6f5aa0b8ca8c28a0221e5256afeb939c3344560b | [
"BSD-3-Clause"
] | null | null | null | import os, subprocess
def compile_core(comp, scilib):
"""
ATTENTION, NOT FINISHED
"""
subprocess.call(("make pawpy_%s"%comp).split())
def compile_core(comp, scilib):
"""
ATTENTION, NOT FINISHED
"""
subprocess.call("make hfc".split()) | 18.692308 | 48 | 0.691358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.374486 |
1c720e3c45ed8efa4771cbbb3a3b55d0385c9d41 | 1,125 | py | Python | finnhub_python/socket.py | humdings/finnhub-python | ca98681e5a529598e9d17e3ebc2f6d49c64b54de | [
"MIT"
] | null | null | null | finnhub_python/socket.py | humdings/finnhub-python | ca98681e5a529598e9d17e3ebc2f6d49c64b54de | [
"MIT"
] | null | null | null | finnhub_python/socket.py | humdings/finnhub-python | ca98681e5a529598e9d17e3ebc2f6d49c64b54de | [
"MIT"
] | null | null | null | """
Example usage of Finnhub socket API.
"""
from __future__ import print_function # Py2 compat
import websocket
from finnhub_python.utils import get_finnhub_api_key
def write_line(data, fname):
with open(fname, 'a+') as f:
f.write(data + '\n')
def on_message(ws, message):
write_line(message, tick_... | 20.089286 | 69 | 0.604444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.196444 |
1c722363623f21dde32f8eb4058f20a248ddb2fd | 2,570 | py | Python | pycovjson/cli/convert.py | RileyWilliams/pycovjson | 741737f53ef18ef1476eccb5e626866843c152bd | [
"BSD-3-Clause"
] | 10 | 2016-08-16T17:46:30.000Z | 2021-04-06T22:03:58.000Z | pycovjson/cli/convert.py | RileyWilliams/pycovjson | 741737f53ef18ef1476eccb5e626866843c152bd | [
"BSD-3-Clause"
] | 46 | 2016-07-21T13:14:14.000Z | 2020-07-02T09:16:29.000Z | pycovjson/cli/convert.py | RileyWilliams/pycovjson | 741737f53ef18ef1476eccb5e626866843c152bd | [
"BSD-3-Clause"
] | 6 | 2016-07-29T09:56:37.000Z | 2020-08-23T18:20:47.000Z | """
Pycovjson - Command line interface
Author: rileywilliams
Version: 0.1.0
"""
import argparse
from pycovjson.write import Writer
from pycovjson.read_netcdf import NetCDFReader as Reader
def main():
"""
Command line interface for pycovjson - Converts Scientific Data Formats into CovJSON and saves to disk.
... | 36.714286 | 107 | 0.649027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 992 | 0.385992 |