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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9afbc58c35485195590c0111ab875fa7190d1ec1 | 621 | py | Python | kesko_webapp/models.py | kounelisagis/kesko-food-waste-hackathon | 6b66806aeaf4fc72ea96e47f152cd4bbd8b5a43d | [
"MIT"
] | 1 | 2019-12-29T16:16:54.000Z | 2019-12-29T16:16:54.000Z | kesko_webapp/models.py | kounelisagis/kesko-food-waste-hackathon | 6b66806aeaf4fc72ea96e47f152cd4bbd8b5a43d | [
"MIT"
] | 14 | 2019-11-16T18:27:51.000Z | 2022-02-26T20:17:01.000Z | kesko_webapp/models.py | kounelisagis/kesko-food-waste-hackathon | 6b66806aeaf4fc72ea96e47f152cd4bbd8b5a43d | [
"MIT"
] | 8 | 2019-11-15T20:27:32.000Z | 2020-08-26T16:21:48.000Z | from django.conf import settings
from django.contrib.auth.models import AbstractUser
from django.db import models
class User(AbstractUser):
pass
class Article(models.Model):
"""
Models available articles
"""
name = models.CharField(max_length=200)
serial_id = models.CharField(max_length=200)... | 23.884615 | 80 | 0.727858 | 498 | 0.801932 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.128824 |
9afd4d7170021441a6b8eb952c84d874debdddcf | 5,925 | py | Python | source/prosumer.py | gus0k/LEMsim | a008a2d25d1de9d5d07706ebeaaaa402bee97bef | [
"Apache-2.0"
] | null | null | null | source/prosumer.py | gus0k/LEMsim | a008a2d25d1de9d5d07706ebeaaaa402bee97bef | [
"Apache-2.0"
] | null | null | null | source/prosumer.py | gus0k/LEMsim | a008a2d25d1de9d5d07706ebeaaaa402bee97bef | [
"Apache-2.0"
] | null | null | null | """
Prosumer class, extendes the battery controler
"""
import numpy as np
from source.batterycontroller import BatteryController
class Prosumer(BatteryController):
def __init__(self, owner_id, b_max, b_min, eff_c, eff_d, d_max, d_min, price_buy, price_sell, load, expected_price_buy, expected_price_sell, updat... | 37.738854 | 167 | 0.575021 | 5,796 | 0.977898 | 0 | 0 | 0 | 0 | 0 | 0 | 1,619 | 0.273157 |
9afd605d71b6ed6dddc10236ff2ea972b58f32f8 | 1,630 | py | Python | tests/calculations/test_inner_goals_regression.py | frc1678/server-2021-public | d61e35f8385bf1debc9daaaed40208f6c783ed77 | [
"MIT"
] | null | null | null | tests/calculations/test_inner_goals_regression.py | frc1678/server-2021-public | d61e35f8385bf1debc9daaaed40208f6c783ed77 | [
"MIT"
] | null | null | null | tests/calculations/test_inner_goals_regression.py | frc1678/server-2021-public | d61e35f8385bf1debc9daaaed40208f6c783ed77 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2019 FRC Team 1678: Citrus Circuits
import pytest
import numpy as np
import os, sys
current_directory = os.path.dirname(os.path.realpath(__file__))
parent_directory = os.path.dirname(current_directory)
grandparent_directory = os.path.dirname(parent_directory)
sys.path.append(gran... | 33.265306 | 80 | 0.648466 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.044785 |
9afec172d7c5d85ad984f002f65f8f198cc1e65d | 13,758 | py | Python | trove/tests/unittests/taskmanager/test_galera_clusters.py | a4913994/openstack_trove | 3b550048dd1e5841ad0f3295679e0f0b913a5687 | [
"Apache-2.0"
] | 244 | 2015-01-01T12:04:44.000Z | 2022-03-25T23:38:39.000Z | trove/tests/unittests/taskmanager/test_galera_clusters.py | a4913994/openstack_trove | 3b550048dd1e5841ad0f3295679e0f0b913a5687 | [
"Apache-2.0"
] | 6 | 2015-08-18T08:19:10.000Z | 2022-03-05T02:32:36.000Z | trove/tests/unittests/taskmanager/test_galera_clusters.py | a4913994/openstack_trove | 3b550048dd1e5841ad0f3295679e0f0b913a5687 | [
"Apache-2.0"
] | 178 | 2015-01-02T15:16:58.000Z | 2022-03-23T03:30:20.000Z | # Copyright [2015] Hewlett-Packard Development Company, L.P.
# 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... | 50.029091 | 79 | 0.611353 | 12,232 | 0.889083 | 0 | 0 | 8,669 | 0.630106 | 0 | 0 | 1,954 | 0.142026 |
9afeccca8e9baead9183ce3029a46c08b65bc934 | 3,814 | py | Python | AStyleTest/file-py/locale_enum_i18n.py | a-w/astyle | 8225c7fc9b65162bdd958cabb87eedd9749f1ecd | [
"MIT"
] | null | null | null | AStyleTest/file-py/locale_enum_i18n.py | a-w/astyle | 8225c7fc9b65162bdd958cabb87eedd9749f1ecd | [
"MIT"
] | null | null | null | AStyleTest/file-py/locale_enum_i18n.py | a-w/astyle | 8225c7fc9b65162bdd958cabb87eedd9749f1ecd | [
"MIT"
] | null | null | null | #! /usr/bin/python
""" Enumerate selected locales and sort by codepage to determine
which languages the locales support.
"""
# to disable the print statement and use the print() function (version 3 format)
from __future__ import print_function
import libastyle # local directory
import locale
import os
imp... | 28.893939 | 80 | 0.522811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,589 | 0.416623 |
9aff6921a655770822f92c25247b7dfa80a21333 | 2,521 | py | Python | src/Coord_cmd.py | aembillo/MNWellRecordGui | 1683bdde75ff37a17726ce1cd7ba0135988f2992 | [
"BSD-3-Clause"
] | null | null | null | src/Coord_cmd.py | aembillo/MNWellRecordGui | 1683bdde75ff37a17726ce1cd7ba0135988f2992 | [
"BSD-3-Clause"
] | null | null | null | src/Coord_cmd.py | aembillo/MNWellRecordGui | 1683bdde75ff37a17726ce1cd7ba0135988f2992 | [
"BSD-3-Clause"
] | null | null | null | """ 2015-07-23
Perform coordinate conversions from the command line.
Uses
"""
import argparse
import pyperclip
# p1 = argparse.ArgumentParser()
# p1.add_argument('x')
# print p1.parse_args(['123'])
#
# p2 = argparse.ArgumentParser()
# p2.add_argument('-d', action='store_const',const='dak')
# print p2.p... | 28.647727 | 127 | 0.623165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,454 | 0.576755 |
9aff8c7e14210fed3124a5e6c2fdfe6fc51837d4 | 58 | py | Python | contest/abc106/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc106/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | contest/abc106/A.py | mola1129/atcoder | 1d3b18cb92d0ba18c41172f49bfcd0dd8d29f9db | [
"MIT"
] | null | null | null | A, B = map(int, input().split())
print((A - 1) * (B - 1))
| 19.333333 | 32 | 0.465517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1011b3a30f3ce240dd73397c6dc7062b1511e60 | 774 | py | Python | pythonmisc/string_manipulation.py | davikawasaki/python-misc-module-library | c66b3e8be09db741c3b62d3a4e4a92ce70e1edb5 | [
"MIT"
] | null | null | null | pythonmisc/string_manipulation.py | davikawasaki/python-misc-module-library | c66b3e8be09db741c3b62d3a4e4a92ce70e1edb5 | [
"MIT"
] | null | null | null | pythonmisc/string_manipulation.py | davikawasaki/python-misc-module-library | c66b3e8be09db741c3b62d3a4e4a92ce70e1edb5 | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# Version: 0.1.1
import re
def convert_ws_header_vb_attributes(df):
output_txt = ""
for key in df.keys():
variant_array = "\'Dim "
i = 0
for word in [w.capitalize().replace('\t', '') for w in str(key).lower().split("(")[0].split(" ")]:
if i == 0:
... | 24.967742 | 106 | 0.524548 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 96 | 0.124031 |
b101387aab58adbece7fb5e7de6f69fdf986d8dd | 6,979 | py | Python | ALLCools/clustering/incremental_pca.py | mukamel-lab/ALLCools | 756ef790665c6ce40633873211929ea92bcccc21 | [
"MIT"
] | 5 | 2019-07-16T17:27:15.000Z | 2022-01-14T19:12:27.000Z | ALLCools/clustering/incremental_pca.py | mukamel-lab/ALLCools | 756ef790665c6ce40633873211929ea92bcccc21 | [
"MIT"
] | 12 | 2019-10-17T19:34:43.000Z | 2022-03-23T16:04:18.000Z | ALLCools/clustering/incremental_pca.py | mukamel-lab/ALLCools | 756ef790665c6ce40633873211929ea92bcccc21 | [
"MIT"
] | 4 | 2019-10-18T23:43:48.000Z | 2022-02-12T04:12:26.000Z | import numpy as np
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import IncrementalPCA as _IncrementalPCA
from ..count_matrix.zarr import dataset_to_array
def _normalize_per_cell(matrix, cell_sum):
print('normalize per cell to CPM')
if cell_sum is None:
... | 36.160622 | 114 | 0.55796 | 6,432 | 0.921622 | 0 | 0 | 0 | 0 | 0 | 0 | 703 | 0.100731 |
b103007297614b73c2ae8e2e4d5c35bd947a709c | 1,051 | py | Python | wordcount/views.py | chinya07/Django-wordcount | 57808f922a140b341807a5b5352864cec5728695 | [
"MIT"
] | null | null | null | wordcount/views.py | chinya07/Django-wordcount | 57808f922a140b341807a5b5352864cec5728695 | [
"MIT"
] | null | null | null | wordcount/views.py | chinya07/Django-wordcount | 57808f922a140b341807a5b5352864cec5728695 | [
"MIT"
] | null | null | null | from django.http import HttpResponse
from django.shortcuts import render
import operator
def home(request):
return render(request, 'home.html')
def count(request):
fulltext1=request.GET['fulltext1']
fulltext2=request.GET['fulltext2']
wordlist1=fulltext1.split(' ')
wordlist2=fulltext2.sp... | 30.028571 | 115 | 0.617507 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 437 | 0.415794 |
b103796b9eb62b2e02e96ca3c1828f5ebc3886b8 | 3,137 | py | Python | example/06-modules/modules.py | iten-engineering/python | 97a79973c7727cd881974462db99a99d612b55f9 | [
"MIT"
] | null | null | null | example/06-modules/modules.py | iten-engineering/python | 97a79973c7727cd881974462db99a99d612b55f9 | [
"MIT"
] | null | null | null | example/06-modules/modules.py | iten-engineering/python | 97a79973c7727cd881974462db99a99d612b55f9 | [
"MIT"
] | null | null | null | # =============================================================================
# Python examples - modules
# =============================================================================
# -----------------------------------------------------------------------------
# Module
# ----------------------------------------... | 34.855556 | 115 | 0.476889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,957 | 0.940522 |
b1040fd46ded01c83aec3ec914b8371b0061edd6 | 5,010 | py | Python | .github/docker/checker_image/scripts/check_copyright_headers.py | TomasRejhons/siren | 9ef3ace7174cbdb48b9e45a2db104f3f5c4b9825 | [
"MIT"
] | null | null | null | .github/docker/checker_image/scripts/check_copyright_headers.py | TomasRejhons/siren | 9ef3ace7174cbdb48b9e45a2db104f3f5c4b9825 | [
"MIT"
] | null | null | null | .github/docker/checker_image/scripts/check_copyright_headers.py | TomasRejhons/siren | 9ef3ace7174cbdb48b9e45a2db104f3f5c4b9825 | [
"MIT"
] | 1 | 2021-05-26T12:06:12.000Z | 2021-05-26T12:06:12.000Z | #!/usr/bin/env python
#
# MIT License
#
# Copyright (c) 2021 silicon-village
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# ... | 28.465909 | 99 | 0.642515 | 112 | 0.022355 | 0 | 0 | 0 | 0 | 0 | 0 | 1,520 | 0.303393 |
b104d1fb0a99c316174f26991ded219303201426 | 1,584 | py | Python | setup.py | finsberg/scholar_bot | b8a9fc22cfa1888d58a1881235e57a98769153fb | [
"MIT"
] | null | null | null | setup.py | finsberg/scholar_bot | b8a9fc22cfa1888d58a1881235e57a98769153fb | [
"MIT"
] | null | null | null | setup.py | finsberg/scholar_bot | b8a9fc22cfa1888d58a1881235e57a98769153fb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
import platform
import glob
from setuptools import setup, find_packages, Command
if sys.version_info < (3, 6):
print("Python 3.6 or higher required, please upgrade.")
sys.exit(1)
version = "0.1"
name = "scholar_bot"
description = ("Post updates on Slack about ci... | 26.847458 | 71 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 663 | 0.418561 |
b105030052fdd1f7dc3bd7505e5951494ee00846 | 3,226 | py | Python | time_series_rnn_without_wrapper.py | KT12/hands_on_machine_learning | 6de2292b43d7c34b6509ad61dab2da4f7ec04894 | [
"MIT"
] | null | null | null | time_series_rnn_without_wrapper.py | KT12/hands_on_machine_learning | 6de2292b43d7c34b6509ad61dab2da4f7ec04894 | [
"MIT"
] | null | null | null | time_series_rnn_without_wrapper.py | KT12/hands_on_machine_learning | 6de2292b43d7c34b6509ad61dab2da4f7ec04894 | [
"MIT"
] | null | null | null | # Predict time series w/o using OutputProjectWrapper
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
# Create time series
t_min, t_max = 0, 30
resolution = 0.1
def time_series(t):
return t * np.sin(t) / 3 + 2 * np.sin(t * 5)
def next_batch(batch_size, n_steps):
t0 = np.random.rand... | 32.26 | 95 | 0.66522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 153 | 0.047427 |
b10569084242d8420b097b98d57fbf57c409ad50 | 5,536 | py | Python | pydocteur/actions.py | AFPy/PyDocTeur | 70e6e025468ad232797c4da0b9a834613d2a2ec4 | [
"MIT"
] | 4 | 2020-11-30T10:14:32.000Z | 2021-02-18T00:44:30.000Z | pydocteur/actions.py | AFPy/PyDocTeur | 70e6e025468ad232797c4da0b9a834613d2a2ec4 | [
"MIT"
] | 46 | 2020-11-27T09:21:02.000Z | 2021-06-08T07:43:33.000Z | pydocteur/actions.py | AFPy/PyDocTeur | 70e6e025468ad232797c4da0b9a834613d2a2ec4 | [
"MIT"
] | 4 | 2020-11-27T06:52:11.000Z | 2022-02-22T20:06:35.000Z | import json
import logging
import os
import random
import time
from functools import lru_cache
from github import Github
from github import PullRequest
from pydocteur.github_api import get_commit_message_for_merge
from pydocteur.github_api import get_trad_team_members
from pydocteur.pr_status import is_already_greete... | 38.713287 | 119 | 0.740426 | 0 | 0 | 0 | 0 | 218 | 0.03935 | 0 | 0 | 1,646 | 0.297112 |
b1083a2affb9a63631077241caffe2b17bde2cca | 5,172 | py | Python | visualise.py | ksang/fiery | b41e0138e388d9b846f174c09d60539b5b226f2d | [
"MIT"
] | null | null | null | visualise.py | ksang/fiery | b41e0138e388d9b846f174c09d60539b5b226f2d | [
"MIT"
] | null | null | null | visualise.py | ksang/fiery | b41e0138e388d9b846f174c09d60539b5b226f2d | [
"MIT"
] | null | null | null | import os
from argparse import ArgumentParser
from glob import glob
import cv2
import numpy as np
import torch
import torchvision
import matplotlib as mpl
import matplotlib.pyplot as plt
from PIL import Image
from fiery.trainer import TrainingModule
from fiery.utils.network import NormalizeInverse
from fiery.utils.in... | 38.029412 | 118 | 0.672467 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 765 | 0.147912 |
b10a7ba9df13f93730fafc42256936a0555a720d | 7,034 | py | Python | autoelective/util.py | apomeloYM/PKUAutoElective | 21b4ab000919f68080e7a942ddff4ca070cf41e7 | [
"MIT"
] | null | null | null | autoelective/util.py | apomeloYM/PKUAutoElective | 21b4ab000919f68080e7a942ddff4ca070cf41e7 | [
"MIT"
] | null | null | null | autoelective/util.py | apomeloYM/PKUAutoElective | 21b4ab000919f68080e7a942ddff4ca070cf41e7 | [
"MIT"
] | 2 | 2020-02-07T04:02:14.000Z | 2020-02-16T23:34:16.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# filename: util.py
import os
import csv
from copy import deepcopy
import hashlib
from functools import wraps
from collections import OrderedDict
from ._compat import json, JSONDecodeError
from .exceptions import NoInstanceError, ImmutableTypeError, ReadonlyPropertyError
... | 27.802372 | 111 | 0.633068 | 4,709 | 0.643658 | 0 | 0 | 451 | 0.061646 | 0 | 0 | 2,163 | 0.295653 |
b10b445b6f929ecc345e5226229e53a873023020 | 1,827 | py | Python | reference_data/uk_biobank_v3/1_extract_ukb_variables.py | thehyve/genetics-backend | 81d09bf5c70c534a59940eddfcd9c8566d2b2ec1 | [
"Apache-2.0"
] | 6 | 2019-06-01T11:17:41.000Z | 2021-09-24T14:06:30.000Z | reference_data/uk_biobank_v3/1_extract_ukb_variables.py | opentargets/genetics-backend | 1ab0314f9fe4b267f8ffb5ed94187d55fbb3431c | [
"Apache-2.0"
] | 7 | 2018-11-28T10:06:21.000Z | 2020-01-26T18:55:39.000Z | reference_data/uk_biobank_v3/1_extract_ukb_variables.py | thehyve/genetics-backend | 81d09bf5c70c534a59940eddfcd9c8566d2b2ec1 | [
"Apache-2.0"
] | 4 | 2019-05-09T13:57:57.000Z | 2021-08-03T18:19:16.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Ed Mountjoy
#
"""
bsub -q small -J interactive -n 1 -R "select[mem>8000] rusage[mem=8000] span[hosts=1]" -M8000 -Is bash
"""
import gzip
import sys
def main():
# Args
in_ukb = '/nfs/users/nfs_e/em21/otcoregen/uk_biobank_data/data/phenotypes/tsv/ukb27852.tsv.g... | 31.5 | 102 | 0.604269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 756 | 0.413793 |
b10d15ba52e0f2579184cc4a6747cccecf9ad61c | 6,088 | py | Python | main.py | Staubtornado/juliandc | 47e41f9e10088f94af44dcfab00073b788121777 | [
"MIT"
] | null | null | null | main.py | Staubtornado/juliandc | 47e41f9e10088f94af44dcfab00073b788121777 | [
"MIT"
] | null | null | null | main.py | Staubtornado/juliandc | 47e41f9e10088f94af44dcfab00073b788121777 | [
"MIT"
] | null | null | null | import asyncio
import discord
from discord.ext import commands, tasks
import os
import random
import dotenv
import difflib
import configparser
###
version = '4.0.0'
###
bot = commands.Bot(command_prefix = '!', owner_id = 272446903940153345, intents = discord.Intents.all())
bot.remove_command('help')
co... | 41.135135 | 360 | 0.587714 | 0 | 0 | 0 | 0 | 5,291 | 0.865391 | 5,089 | 0.832352 | 1,250 | 0.204449 |
b10e5e4bf82f717f9759daccbbc32309f685a6ee | 565 | py | Python | lib/utils.py | MusaTamzid05/simple_similar_image_lib | 3882cc3d6c3d8d61f67c71fcbe5a3cbad4e10697 | [
"MIT"
] | null | null | null | lib/utils.py | MusaTamzid05/simple_similar_image_lib | 3882cc3d6c3d8d61f67c71fcbe5a3cbad4e10697 | [
"MIT"
] | null | null | null | lib/utils.py | MusaTamzid05/simple_similar_image_lib | 3882cc3d6c3d8d61f67c71fcbe5a3cbad4e10697 | [
"MIT"
] | null | null | null | import tensorflow as tf
import numpy as np
def euclidean_dist(x, y):
return np.linalg.norm(x - y)
def limit_gpu():
gpus = tf.config.list_physical_devices('GPU')
if gpus:
try:
tf.config.set_logical_device_configuration(
gpus[0],
[tf.config.Logic... | 28.25 | 81 | 0.612389 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0.070796 |
b10e8fe5318c13af9359ac8f09fb570418b7c0b2 | 2,226 | py | Python | dataloaders/voc.py | psui3905/CCT | 637cbac130b39f02733339c79cdf1d531e339e9c | [
"MIT"
] | 308 | 2020-06-09T13:37:17.000Z | 2022-03-24T07:43:33.000Z | dataloaders/voc.py | lesvay/CCT | cf98ea7e6aefa7091e6c375a9025ba1e0f6e53ca | [
"MIT"
] | 55 | 2020-06-16T11:57:54.000Z | 2022-03-09T12:04:58.000Z | dataloaders/voc.py | lesvay/CCT | cf98ea7e6aefa7091e6c375a9025ba1e0f6e53ca | [
"MIT"
] | 51 | 2020-06-08T02:42:14.000Z | 2022-02-25T16:38:36.000Z | from base import BaseDataSet, BaseDataLoader
from utils import pallete
import numpy as np
import os
import scipy
import torch
from PIL import Image
import cv2
from torch.utils.data import Dataset
from torchvision import transforms
import json
class VOCDataset(BaseDataSet):
def __init__(self, **kwargs):
sel... | 36.491803 | 114 | 0.637017 | 1,979 | 0.889039 | 0 | 0 | 0 | 0 | 0 | 0 | 289 | 0.129829 |
b10ed1a87457d0709ae65d88b218cf1992004525 | 16,418 | py | Python | FWCore/Integration/test/ThinningTest1_cfg.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 6 | 2017-09-08T14:12:56.000Z | 2022-03-09T23:57:01.000Z | FWCore/Integration/test/ThinningTest1_cfg.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 545 | 2017-09-19T17:10:19.000Z | 2022-03-07T16:55:27.000Z | FWCore/Integration/test/ThinningTest1_cfg.py | gputtley/cmssw | c1ef8454804e4ebea8b65f59c4a952a6c94fde3b | [
"Apache-2.0"
] | 14 | 2017-10-04T09:47:21.000Z | 2019-10-23T18:04:45.000Z | # This process is the first step of a test that involves multiple
# processing steps. It tests the thinning collections and
# redirecting Refs, Ptrs, and RefToBases.
#
# Produce 15 thinned collections
#
# Collection A contains Things 0-8
# Collection B contains Things 0-3 and made from collection A
# Collection C... | 40.339066 | 79 | 0.652394 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,373 | 0.266354 |
b10ef155b141d1ff49de7abd5e3a562536e9e728 | 771 | py | Python | tests/Bio/test_tandem.py | iwasakishuto/Keras-Imitation | 8ac0cd7c8912d49d13b19a0182ad534c0781fbfe | [
"MIT"
] | 4 | 2020-04-25T08:50:36.000Z | 2020-04-26T04:49:16.000Z | tests/Bio/test_tandem.py | iwasakishuto/Keras-Imitation | 8ac0cd7c8912d49d13b19a0182ad534c0781fbfe | [
"MIT"
] | null | null | null | tests/Bio/test_tandem.py | iwasakishuto/Keras-Imitation | 8ac0cd7c8912d49d13b19a0182ad534c0781fbfe | [
"MIT"
] | null | null | null | # coding: utf-8
from kerasy.Bio.tandem import find_tandem
from kerasy.utils import generateSeq
len_sequences = 1000
def get_test_data():
sequence = generateSeq(size=len_sequences,
nucleic_acid='DNA',
weights=None,
seed=123)
seque... | 29.653846 | 91 | 0.660182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.041505 |
b10f2700bf5dd4688d783eebd9aacb68abc85ac5 | 679 | py | Python | NEW_PRAC/HackerRank/Python/SetDifferenceString.py | side-projects-42/INTERVIEW-PREP-COMPLETE | 627a3315cee4bbc38a0e81c256f27f928eac2d63 | [
"MIT"
] | 13 | 2021-03-11T00:25:22.000Z | 2022-03-19T00:19:23.000Z | NEW_PRAC/HackerRank/Python/SetDifferenceString.py | side-projects-42/INTERVIEW-PREP-COMPLETE | 627a3315cee4bbc38a0e81c256f27f928eac2d63 | [
"MIT"
] | 160 | 2021-04-26T19:04:15.000Z | 2022-03-26T20:18:37.000Z | NEW_PRAC/HackerRank/Python/SetDifferenceString.py | side-projects-42/INTERVIEW-PREP-COMPLETE | 627a3315cee4bbc38a0e81c256f27f928eac2d63 | [
"MIT"
] | 12 | 2021-04-26T19:43:01.000Z | 2022-01-31T08:36:29.000Z | # >>> s = set("Hacker")
# >>> print s.difference("Rank")
# set(['c', 'r', 'e', 'H'])
# >>> print s.difference(set(['R', 'a', 'n', 'k']))
# set(['c', 'r', 'e', 'H'])
# >>> print s.difference(['R', 'a', 'n', 'k'])
# set(['c', 'r', 'e', 'H'])
# >>> print s.difference(enumerate(['R', 'a', 'n', 'k']))
# set(['a', 'c', 'r... | 24.25 | 57 | 0.443299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 458 | 0.674521 |
b10ff91b57739eb21f6eb6d10c2777a5221bc00d | 4,898 | py | Python | src/dotacrunch/drawer.py | tpinetz/dotacrunch | 9f53404ac3556e14bdc3e159f36d34e39c747898 | [
"MIT"
] | 1 | 2019-09-20T04:03:13.000Z | 2019-09-20T04:03:13.000Z | src/dotacrunch/drawer.py | tpinetz/dotacrunch | 9f53404ac3556e14bdc3e159f36d34e39c747898 | [
"MIT"
] | null | null | null | src/dotacrunch/drawer.py | tpinetz/dotacrunch | 9f53404ac3556e14bdc3e159f36d34e39c747898 | [
"MIT"
] | null | null | null | from PIL import Image, ImageDraw
from numpy import array, random, vstack, ones, linalg
from const import TOWERS
from copy import deepcopy
from os import path
class MapDrawer:
"""
a class for drawing Dota2Maps with replay-parsed data
"""
def __init__(self, towers, received_tables):
... | 42.964912 | 136 | 0.600857 | 4,733 | 0.966313 | 0 | 0 | 0 | 0 | 0 | 0 | 1,791 | 0.365659 |
b112b2802063ecfa7ce3db6c16ab4326c7eda2fb | 1,746 | py | Python | nsm.py | svepe/neural-stack | c48e6b94f00e77cedd9d692bdc2a6715bb007db5 | [
"MIT"
] | null | null | null | nsm.py | svepe/neural-stack | c48e6b94f00e77cedd9d692bdc2a6715bb007db5 | [
"MIT"
] | 1 | 2017-07-26T07:18:42.000Z | 2017-07-26T07:18:42.000Z | nsm.py | svepe/neural-stack | c48e6b94f00e77cedd9d692bdc2a6715bb007db5 | [
"MIT"
] | null | null | null | import numpy as np
import chainer.functions as F
from chainer import Variable
def neural_stack(V, s, d, u, v):
# strengths
s_new = d
for t in reversed(xrange(s.shape[1])):
x = s[:, t].reshape(-1, 1) - u
s_new = F.concat((s_new, F.maximum(Variable(np.zeros_like(x.data)), x)))
u = F.... | 29.59322 | 80 | 0.613402 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.015464 |
b11347dca32d00ada08a415a09ab2e6c4431c76c | 2,354 | py | Python | chaos_genius/celery_config.py | eltociear/chaos_genius | eb3bc27181c8af4144b95e685386814109173164 | [
"MIT"
] | 1 | 2022-02-25T16:11:34.000Z | 2022-02-25T16:11:34.000Z | chaos_genius/celery_config.py | eltociear/chaos_genius | eb3bc27181c8af4144b95e685386814109173164 | [
"MIT"
] | null | null | null | chaos_genius/celery_config.py | eltociear/chaos_genius | eb3bc27181c8af4144b95e685386814109173164 | [
"MIT"
] | null | null | null | from datetime import timedelta
from celery.schedules import crontab, schedule
CELERY_IMPORTS = ("chaos_genius.jobs")
CELERY_TASK_RESULT_EXPIRES = 30
CELERY_TIMEZONE = "UTC"
CELERY_ACCEPT_CONTENT = ["json", "msgpack", "yaml"]
CELERY_TASK_SERIALIZER = "json"
CELERY_RESULT_SERIALIZER = "json"
CELERYBEAT_SCHEDULE = {
... | 32.694444 | 77 | 0.619371 | 35 | 0.014868 | 0 | 0 | 0 | 0 | 0 | 0 | 1,627 | 0.691164 |
b11425f92000045819fecda2309fb8977bc45199 | 2,102 | py | Python | speaksee/data/utils.py | aimagelab/speaksee | 63700a4062e2ae00132a5c77007604fdaf4bd00b | [
"BSD-3-Clause"
] | 29 | 2019-02-28T05:29:53.000Z | 2021-01-25T06:55:48.000Z | speaksee/data/utils.py | aimagelab/speaksee | 63700a4062e2ae00132a5c77007604fdaf4bd00b | [
"BSD-3-Clause"
] | 2 | 2019-10-26T02:29:59.000Z | 2021-01-15T13:58:53.000Z | speaksee/data/utils.py | aimagelab/speaksee | 63700a4062e2ae00132a5c77007604fdaf4bd00b | [
"BSD-3-Clause"
] | 11 | 2019-03-12T08:43:09.000Z | 2021-03-15T03:20:43.000Z |
def get_tokenizer(tokenizer):
if callable(tokenizer):
return tokenizer
if tokenizer == "spacy":
try:
import spacy
spacy_en = spacy.load('en')
return lambda s: [tok.text for tok in spacy_en.tokenizer(s)]
except ImportError:
print("Please in... | 40.423077 | 77 | 0.555661 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 793 | 0.37726 |
b114d5a538b75c9a4b75747db2d55272076b7fcc | 232 | py | Python | oldcontrib/media/image/servee_registry.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | oldcontrib/media/image/servee_registry.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | oldcontrib/media/image/servee_registry.py | servee/django-servee-oldcontrib | 836447ebbd53db0b53879a35468c02e57f65105f | [
"BSD-Source-Code"
] | null | null | null | from servee import frontendadmin
from servee.frontendadmin.insert import ModelInsert
from oldcontrib.media.image.models import Image
class ImageInsert(ModelInsert):
model = Image
frontendadmin.site.register_insert(ImageInsert) | 29 | 51 | 0.844828 | 49 | 0.211207 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b114f3af35aa6791557a994b86492206a441c7e5 | 974 | py | Python | run.py | Lohitapallanti/Predicting-Titanic-Survive | 681e513ec0abfb66797c827139d4e6d99c6b22bf | [
"Apache-2.0"
] | null | null | null | run.py | Lohitapallanti/Predicting-Titanic-Survive | 681e513ec0abfb66797c827139d4e6d99c6b22bf | [
"Apache-2.0"
] | null | null | null | run.py | Lohitapallanti/Predicting-Titanic-Survive | 681e513ec0abfb66797c827139d4e6d99c6b22bf | [
"Apache-2.0"
] | null | null | null | from train import train
from processing import Processing
""" The Main run file, where the program execution and controller is based. """
class Run(train, Processing):
def final_function(self):
print('This project predicts the persons who will survive if the same RMS Titanic ')
print('incident h... | 37.461538 | 131 | 0.661191 | 790 | 0.811088 | 0 | 0 | 0 | 0 | 0 | 0 | 534 | 0.548255 |
b1155590dddadba4928d8c63159a637854f7865e | 2,646 | py | Python | scripts/pretty-printers/gdb/install.py | tobireinhard/cbmc | fc165c119985adf8db9a13493f272a2def4e79fa | [
"BSD-4-Clause"
] | 412 | 2016-04-02T01:14:27.000Z | 2022-03-27T09:24:09.000Z | scripts/pretty-printers/gdb/install.py | tobireinhard/cbmc | fc165c119985adf8db9a13493f272a2def4e79fa | [
"BSD-4-Clause"
] | 4,671 | 2016-02-25T13:52:16.000Z | 2022-03-31T22:14:46.000Z | scripts/pretty-printers/gdb/install.py | tobireinhard/cbmc | fc165c119985adf8db9a13493f272a2def4e79fa | [
"BSD-4-Clause"
] | 266 | 2016-02-23T12:48:00.000Z | 2022-03-22T18:15:51.000Z | #!/usr/bin/env python3
import os
from shutil import copyfile
def create_gdbinit_file():
"""
Create and insert into a .gdbinit file the python code to set-up cbmc pretty-printers.
"""
print("Attempting to enable cbmc-specific pretty-printers.")
home_folder = os.path.expanduser("~")
if not ho... | 37.267606 | 129 | 0.588435 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 945 | 0.357143 |
b1156db34bf35cdfc3d30e9b0d6bdddd6d15330a | 5,613 | py | Python | pyutils/solve.py | eltrompetero/maxent_fim | b5e8942a20aad67e4055c506248605df50ab082d | [
"MIT"
] | null | null | null | pyutils/solve.py | eltrompetero/maxent_fim | b5e8942a20aad67e4055c506248605df50ab082d | [
"MIT"
] | null | null | null | pyutils/solve.py | eltrompetero/maxent_fim | b5e8942a20aad67e4055c506248605df50ab082d | [
"MIT"
] | null | null | null | # ====================================================================================== #
# Module for solving maxent problem on C elegans data set.
#
# Author : Eddie Lee, [email protected]
# ====================================================================================== #
from .utils import *
from scipy.opti... | 26.856459 | 94 | 0.492785 | 4,312 | 0.768217 | 0 | 0 | 0 | 0 | 0 | 0 | 2,691 | 0.479423 |
b1160a8726aaf21bb1cf8728387263736c4c3084 | 8,117 | py | Python | lingvo/tasks/car/ops/nms_3d_op_test.py | Singed-jj/lingvo | a2a4ac8bd835ffc2f95fc38ee3e9bc17c30fcc56 | [
"Apache-2.0"
] | null | null | null | lingvo/tasks/car/ops/nms_3d_op_test.py | Singed-jj/lingvo | a2a4ac8bd835ffc2f95fc38ee3e9bc17c30fcc56 | [
"Apache-2.0"
] | null | null | null | lingvo/tasks/car/ops/nms_3d_op_test.py | Singed-jj/lingvo | a2a4ac8bd835ffc2f95fc38ee3e9bc17c30fcc56 | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# 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 ... | 39.402913 | 83 | 0.603795 | 7,184 | 0.885056 | 0 | 0 | 1,545 | 0.190341 | 0 | 0 | 1,281 | 0.157817 |
b1175a77d1f41faf9425e6e42edc2d9127d3fe7c | 10,773 | py | Python | BDS_2nd_downsampling.py | oxon-612/BDSR | c468061ed9e139be96d9da91c1b5419b122eeb4f | [
"MIT"
] | 1 | 2021-03-03T13:13:33.000Z | 2021-03-03T13:13:33.000Z | BDS_2nd_downsampling.py | oxon-612/BDSR | c468061ed9e139be96d9da91c1b5419b122eeb4f | [
"MIT"
] | null | null | null | BDS_2nd_downsampling.py | oxon-612/BDSR | c468061ed9e139be96d9da91c1b5419b122eeb4f | [
"MIT"
] | null | null | null | #第二次降采样使用的代码
import numpy as np
import random
# import sys
import os
from sklearn import preprocessing
# import matplotlib.pyplot as plt
# from mpl_toolkits.mplot3d import Axes3D
# import math
from scipy.stats import norm
# from sklearn.neighbors import KernelDensity
# import statistics
# from scipy.stats i... | 43.615385 | 182 | 0.597698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,153 | 0.557387 |
b11770de6ba3e72b06e86a670a85a8fd098eb3aa | 3,630 | py | Python | model.py | e-yi/hin2vec_pytorch | 7c3b6c4160476568985622117cf2263e7b78760e | [
"MIT"
] | 18 | 2019-10-17T03:12:07.000Z | 2022-03-11T02:58:12.000Z | model.py | e-yi/hin2vec_pytorch | 7c3b6c4160476568985622117cf2263e7b78760e | [
"MIT"
] | 5 | 2019-12-12T03:15:21.000Z | 2021-04-02T07:54:38.000Z | model.py | e-yi/hin2vec_pytorch | 7c3b6c4160476568985622117cf2263e7b78760e | [
"MIT"
] | 4 | 2019-12-26T07:36:38.000Z | 2021-04-24T11:35:45.000Z | import torch
import numpy as np
import torch.nn as nn
from torch.utils.data import Dataset, DataLoader
def binary_reg(x: torch.Tensor):
# forward: f(x) = (x>=0)
# backward: f(x) = sigmoid
a = torch.sigmoid(x)
b = a.detach()
c = (x.detach() >= 0).float()
return a - b + c
class HIN2vec(nn.Module... | 27.709924 | 110 | 0.571901 | 2,115 | 0.574416 | 0 | 0 | 0 | 0 | 0 | 0 | 830 | 0.225421 |
b117f2719a56a1e59d4109b5312d5d87fdc50a2d | 2,689 | py | Python | pygrep/classes/boyerMoore.py | sstadick/pygrep | 13c53ac427adda9974ee9e62c22391bf0682008c | [
"Apache-2.0"
] | null | null | null | pygrep/classes/boyerMoore.py | sstadick/pygrep | 13c53ac427adda9974ee9e62c22391bf0682008c | [
"Apache-2.0"
] | null | null | null | pygrep/classes/boyerMoore.py | sstadick/pygrep | 13c53ac427adda9974ee9e62c22391bf0682008c | [
"Apache-2.0"
] | null | null | null | import string
from helpers import *
class BoyerMoore(object):
""" Encapsulates pattern and associated Boyer-Moore preprocessing. """
def __init__(self, pattern, alphabet=string.ascii_letters + string.whitespace + string.punctuation):
self.pattern = pattern
self.patternLen = len(pattern)
... | 36.337838 | 104 | 0.579026 | 2,400 | 0.892525 | 0 | 0 | 0 | 0 | 0 | 0 | 623 | 0.231685 |
b118f2f3e6c0e9617cb2cf673e9a7f3e68d6f9ce | 53 | py | Python | basicts/archs/DGCRN_arch/__init__.py | zezhishao/GuanCang_BasicTS | bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c | [
"Apache-2.0"
] | 3 | 2022-02-22T12:50:08.000Z | 2022-03-13T03:38:46.000Z | basicts/archs/DGCRN_arch/__init__.py | zezhishao/GuanCang_BasicTS | bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c | [
"Apache-2.0"
] | null | null | null | basicts/archs/DGCRN_arch/__init__.py | zezhishao/GuanCang_BasicTS | bbf82b9d08e82db78d4e9e9b11f43a676b54ad7c | [
"Apache-2.0"
] | null | null | null | from basicts.archs.DGCRN_arch.DGCRN_arch import DGCRN | 53 | 53 | 0.886792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b119bf6083a2cc2bfb9320284b71a47bcee04389 | 159 | py | Python | kido/settings/production.example.py | alanhamlett/kid-o | 18f88f7dc78c678e017fdc7e0dfb2711bcf2bf74 | [
"BSD-3-Clause"
] | 34 | 2015-08-22T06:57:26.000Z | 2021-11-08T10:47:23.000Z | kido/settings/production.example.py | alanhamlett/kid-o | 18f88f7dc78c678e017fdc7e0dfb2711bcf2bf74 | [
"BSD-3-Clause"
] | 15 | 2015-08-21T20:25:49.000Z | 2022-03-11T23:25:44.000Z | kido/settings/production.example.py | dominino/kid-o | 18f88f7dc78c678e017fdc7e0dfb2711bcf2bf74 | [
"BSD-3-Clause"
] | 5 | 2016-08-22T08:23:45.000Z | 2019-05-07T01:38:38.000Z | SECRET_KEY = None
DB_HOST = "localhost"
DB_NAME = "kido"
DB_USERNAME = "kido"
DB_PASSWORD = "kido"
COMPRESSOR_DEBUG = False
COMPRESSOR_OFFLINE_COMPRESS = True
| 19.875 | 34 | 0.773585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.18239 |
b11a302f53a38192c5dd68e4767ae96d3e146ef3 | 301 | py | Python | run.py | Prakash2403/ultron | 7d1067eb98ef52f6a88299534ea204e7ae45d7a7 | [
"MIT"
] | 13 | 2017-08-15T15:50:13.000Z | 2019-06-03T10:24:50.000Z | run.py | Prakash2403/ultron | 7d1067eb98ef52f6a88299534ea204e7ae45d7a7 | [
"MIT"
] | 3 | 2017-08-29T16:35:04.000Z | 2021-06-01T23:49:16.000Z | run.py | Prakash2403/ultron | 7d1067eb98ef52f6a88299534ea204e7ae45d7a7 | [
"MIT"
] | 4 | 2017-08-16T09:33:59.000Z | 2019-06-05T07:25:30.000Z | #! /usr/bin/python3
from default_settings import default_settings
from ultron_cli import UltronCLI
if __name__ == '__main__':
default_settings()
try:
UltronCLI().cmdloop()
except KeyboardInterrupt:
print("\nInterrupted by user.")
print("Goodbye")
exit(0)
| 23.153846 | 45 | 0.664452 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.209302 |
b11a595d5c6b314526d2c13c66fd8ddfdd9ef9ec | 2,689 | py | Python | losses/dice_loss.py | CharlesAuthier/geo-deep-learning | e97ea1d362327cdcb2849cd2f810f1e914078243 | [
"MIT"
] | 121 | 2018-10-01T15:27:08.000Z | 2022-02-16T14:04:34.000Z | losses/dice_loss.py | CharlesAuthier/geo-deep-learning | e97ea1d362327cdcb2849cd2f810f1e914078243 | [
"MIT"
] | 196 | 2018-09-26T19:32:29.000Z | 2022-03-30T15:17:53.000Z | losses/dice_loss.py | CharlesAuthier/geo-deep-learning | e97ea1d362327cdcb2849cd2f810f1e914078243 | [
"MIT"
] | 36 | 2018-09-25T12:55:55.000Z | 2022-03-03T20:31:33.000Z | import torch
import torch.nn as nn
import torch.nn.functional as F
def soft_dice_score(
output: torch.Tensor, target: torch.Tensor, smooth: float = 0.0, eps: float = 1e-7, dims=None) -> torch.Tensor:
assert output.size() == target.size()
if dims is not None:
intersection = torch.sum(output * t... | 35.381579 | 119 | 0.579398 | 1,960 | 0.728896 | 0 | 0 | 0 | 0 | 0 | 0 | 406 | 0.150985 |
b11a616d1b56aaeabf4b500c344345675c245118 | 2,766 | py | Python | src/pytezos/jupyter.py | konchunas/pytezos | 65576d18bdf1956fae8ea21241b6c43a38921b83 | [
"MIT"
] | 98 | 2019-02-07T16:33:38.000Z | 2022-03-31T15:53:41.000Z | src/pytezos/jupyter.py | konchunas/pytezos | 65576d18bdf1956fae8ea21241b6c43a38921b83 | [
"MIT"
] | 152 | 2019-05-20T16:38:56.000Z | 2022-03-30T14:24:38.000Z | src/pytezos/jupyter.py | konchunas/pytezos | 65576d18bdf1956fae8ea21241b6c43a38921b83 | [
"MIT"
] | 34 | 2019-07-25T12:03:51.000Z | 2021-11-11T22:23:38.000Z | import inspect
import re
from functools import update_wrapper
from typing import Optional
def is_interactive() -> bool:
try:
_ = get_ipython().__class__.__name__ # type: ignore
return True
except NameError:
return False
def get_attr_docstring(class_type, attr_name) -> Optional[str]:... | 26.596154 | 85 | 0.544107 | 967 | 0.349602 | 0 | 0 | 0 | 0 | 0 | 0 | 145 | 0.052422 |
b11be2ae97985e6cfb1d4fb8b0941137d4427bee | 2,492 | py | Python | torch_template/training.py | dongqifong/inspiration | f3168217729063f79f18972a4abe9db821ad5b91 | [
"MIT"
] | null | null | null | torch_template/training.py | dongqifong/inspiration | f3168217729063f79f18972a4abe9db821ad5b91 | [
"MIT"
] | null | null | null | torch_template/training.py | dongqifong/inspiration | f3168217729063f79f18972a4abe9db821ad5b91 | [
"MIT"
] | null | null | null | import torch
def train_one_epoch(model, train_loader, loss_func, optimizer):
model.train()
running_loss = 0.0
for batch_idx, (x, y) in enumerate(train_loader):
out = model(x)
optimizer.zero_grad()
loss = loss_func(out, y)
loss.backward()
optimizer.step()
run... | 32.789474 | 101 | 0.597111 | 1,193 | 0.478732 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.073034 |
b11c83cde4ab47f5fe3448e7a1b6b3e0baac54ab | 3,331 | py | Python | pytext/__init__.py | NunoEdgarGFlowHub/pytext | 2358b2d7c8c4e6800c73f4bd1c9731723e503ed6 | [
"BSD-3-Clause"
] | 1 | 2019-02-25T01:50:03.000Z | 2019-02-25T01:50:03.000Z | pytext/__init__.py | NunoEdgarGFlowHub/pytext | 2358b2d7c8c4e6800c73f4bd1c9731723e503ed6 | [
"BSD-3-Clause"
] | null | null | null | pytext/__init__.py | NunoEdgarGFlowHub/pytext | 2358b2d7c8c4e6800c73f4bd1c9731723e503ed6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import uuid
from typing import Callable, Mapping, Optional
import numpy as np
from caffe2.python import workspace
from caffe2.python.predictor import predictor_exporter
from .builtin_task import register_builtin_... | 36.604396 | 88 | 0.727409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.132693 |
b11d7725740230346fbe8555198c64720b464851 | 1,374 | py | Python | modules/cudaobjdetect/misc/python/test/test_cudaobjdetect.py | ptelang/opencv_contrib | dd68e396c76f1db4d82e5aa7a6545580939f9b9d | [
"Apache-2.0"
] | 7,158 | 2016-07-04T22:19:27.000Z | 2022-03-31T07:54:32.000Z | modules/cudaobjdetect/misc/python/test/test_cudaobjdetect.py | ptelang/opencv_contrib | dd68e396c76f1db4d82e5aa7a6545580939f9b9d | [
"Apache-2.0"
] | 2,184 | 2016-07-05T12:04:14.000Z | 2022-03-30T19:10:12.000Z | modules/cudaobjdetect/misc/python/test/test_cudaobjdetect.py | ptelang/opencv_contrib | dd68e396c76f1db4d82e5aa7a6545580939f9b9d | [
"Apache-2.0"
] | 5,535 | 2016-07-06T12:01:10.000Z | 2022-03-31T03:13:24.000Z | #!/usr/bin/env python
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests, unittest
class cudaobjdetect_test(NewOpenCVTests):
def setUp(self):
super(cudaobjdetect_test, self).setUp()
if not cv.cuda.getCudaEnabledDeviceCount():
self.skipTest("No CUDA-ca... | 36.157895 | 92 | 0.659389 | 1,195 | 0.869723 | 0 | 0 | 963 | 0.700873 | 0 | 0 | 186 | 0.135371 |
b11ddd81227b3782058ba9f99a70d0ae0079cb41 | 32,677 | py | Python | gizmo/mapper.py | emehrkay/gizmo | 01db2f51118f7d746061ace0b491237481949bad | [
"MIT"
] | 19 | 2015-10-06T12:55:09.000Z | 2021-01-09T09:53:38.000Z | gizmo/mapper.py | emehrkay/Gizmo | 01db2f51118f7d746061ace0b491237481949bad | [
"MIT"
] | 2 | 2016-01-21T02:55:55.000Z | 2020-08-16T23:05:07.000Z | gizmo/mapper.py | emehrkay/gizmo | 01db2f51118f7d746061ace0b491237481949bad | [
"MIT"
] | 3 | 2016-01-21T02:18:41.000Z | 2018-04-25T06:06:25.000Z | import logging
import inspect
import re
from collections import OrderedDict
from gremlinpy.gremlin import Gremlin, Param, AS
from .entity import (_Entity, Vertex, Edge, GenericVertex, GenericEdge,
ENTITY_MAP)
from .exception import (AstronomerQueryException, AstronomerMapperException)
from .traversal import Trav... | 29.896615 | 79 | 0.565903 | 31,116 | 0.952229 | 0 | 0 | 616 | 0.018851 | 3,300 | 0.100988 | 4,960 | 0.151789 |
b11de849f44d264e334f554dabd0e3fd62c6c1ae | 849 | py | Python | utils.py | Nicolas-Lefort/conv_neural_net_time_serie | 3075d3f97cdd45f91612f8300af2b4af7f232c42 | [
"MIT"
] | null | null | null | utils.py | Nicolas-Lefort/conv_neural_net_time_serie | 3075d3f97cdd45f91612f8300af2b4af7f232c42 | [
"MIT"
] | null | null | null | utils.py | Nicolas-Lefort/conv_neural_net_time_serie | 3075d3f97cdd45f91612f8300af2b4af7f232c42 | [
"MIT"
] | null | null | null | import pandas_ta as ta
def clean(df, df_signal):
df = df.join(df_signal)
df.replace("", "NaN", inplace=True)
df.dropna(inplace=True)
df = df.reset_index(drop=True)
df_signal = df['signal']
df.drop(columns=['volume', 'high', 'low', 'open', 'signal', "close_timestamp", "close_date"], inplace=True... | 31.444444 | 111 | 0.64311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.128386 |
b11f6265d46fdca364a4dd3bf4dcf5a12d2f410f | 2,871 | py | Python | praetorian_ssh_proxy/hanlers/menu_handler.py | Praetorian-Defence/praetorian-ssh-proxy | 068141bf0cee9fcf10434fab2dc5c16cfdd35f5a | [
"MIT"
] | null | null | null | praetorian_ssh_proxy/hanlers/menu_handler.py | Praetorian-Defence/praetorian-ssh-proxy | 068141bf0cee9fcf10434fab2dc5c16cfdd35f5a | [
"MIT"
] | null | null | null | praetorian_ssh_proxy/hanlers/menu_handler.py | Praetorian-Defence/praetorian-ssh-proxy | 068141bf0cee9fcf10434fab2dc5c16cfdd35f5a | [
"MIT"
] | null | null | null | import sys
class MenuHandler(object):
def __init__(self, client, client_channel, remote_checker):
self._client = client
self._client_channel = client_channel
self._buffer = ''
self._remote_checker = remote_checker
@staticmethod
def create_from_channel(client, client_channe... | 45.571429 | 122 | 0.492163 | 2,857 | 0.995124 | 0 | 0 | 166 | 0.05782 | 0 | 0 | 578 | 0.201324 |
b122b1664a2960a396de4fbb595bf3821559d96f | 563 | py | Python | orderedtable/urls.py | Shivam2k16/DjangoOrderedTable | da133a23a6659ce5467b8161edcf6db35f1c0b76 | [
"MIT"
] | 2 | 2018-04-15T17:03:59.000Z | 2019-03-23T04:45:00.000Z | orderedtable/urls.py | Shivam2k16/DjangoOrderedTable | da133a23a6659ce5467b8161edcf6db35f1c0b76 | [
"MIT"
] | null | null | null | orderedtable/urls.py | Shivam2k16/DjangoOrderedTable | da133a23a6659ce5467b8161edcf6db35f1c0b76 | [
"MIT"
] | 1 | 2018-04-15T16:54:07.000Z | 2018-04-15T16:54:07.000Z | from django.conf.urls import include, url
from django.contrib import admin
import orderedtable
from orderedtable import views
app_name="orderedtable"
urlpatterns = [
url(r'^$', views.home,name="home"),
url(r'^import-json/$', views.import_json,name="import_json"),
url(r'^project-list/$', views.project_lis... | 33.117647 | 80 | 0.698046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.346359 |
b122c90d808909aac59db15608fa9cd2e18fc259 | 363 | py | Python | lang/Python/set-consolidation-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | 1 | 2018-11-09T22:08:38.000Z | 2018-11-09T22:08:38.000Z | lang/Python/set-consolidation-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | null | null | null | lang/Python/set-consolidation-1.py | ethansaxenian/RosettaDecode | 8ea1a42a5f792280b50193ad47545d14ee371fb7 | [
"MIT"
] | 1 | 2018-11-09T22:08:40.000Z | 2018-11-09T22:08:40.000Z | def consolidate(sets):
setlist = [s for s in sets if s]
for i, s1 in enumerate(setlist):
if s1:
for s2 in setlist[i+1:]:
intersection = s1.intersection(s2)
if intersection:
s2.update(s1)
s1.clear()
s1... | 30.25 | 50 | 0.465565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b123669e9c0103e63c00a8b4dcdbc0e0596f1442 | 2,242 | py | Python | call_google_translate.py | dadap/klingon-assistant-data | 5371f8ae6e3669f48a83087a4937af0dee8d23d1 | [
"Apache-2.0"
] | null | null | null | call_google_translate.py | dadap/klingon-assistant-data | 5371f8ae6e3669f48a83087a4937af0dee8d23d1 | [
"Apache-2.0"
] | 5 | 2018-07-11T09:17:19.000Z | 2018-10-14T10:33:51.000Z | call_google_translate.py | dadap/klingon-assistant-data | 5371f8ae6e3669f48a83087a4937af0dee8d23d1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Calls Google Translate to produce translations.
# To use, set "language" and "dest_language" below. (They are normally the same,
# unless Google uses a different language code than we do.) Then fill in
# the definition_[language] fields with "TRANSLATE" or
# "TRANSLATE: [replacement definition... | 44.84 | 460 | 0.666369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,212 | 0.540589 |
b123989fc301ccc896657660002120b9f5336e64 | 6,451 | py | Python | xenavalkyrie/xena_object.py | xenadevel/PyXenaValkyrie | 9bb1d0b058c45dc94a778fd674a679b53f03a34c | [
"Apache-2.0"
] | 4 | 2018-07-13T08:09:38.000Z | 2022-02-09T01:36:13.000Z | xenavalkyrie/xena_object.py | xenadevel/PyXenaValkyrie | 9bb1d0b058c45dc94a778fd674a679b53f03a34c | [
"Apache-2.0"
] | 1 | 2019-07-31T04:56:43.000Z | 2019-08-01T07:11:21.000Z | xenavalkyrie/xena_object.py | xenadevel/PyXenaValkyrie | 9bb1d0b058c45dc94a778fd674a679b53f03a34c | [
"Apache-2.0"
] | 3 | 2019-05-30T23:47:02.000Z | 2022-02-04T12:32:14.000Z | """
Base classes and utilities for all Xena Manager (Xena) objects.
:author: [email protected]
"""
import time
import re
import logging
from collections import OrderedDict
from trafficgenerator.tgn_utils import TgnError
from trafficgenerator.tgn_object import TgnObject, TgnObjectsDict
logger = logging.getLogger(_... | 32.746193 | 115 | 0.611843 | 6,110 | 0.94714 | 0 | 0 | 0 | 0 | 0 | 0 | 1,975 | 0.306154 |
b124d44c02271ffc2f5af0ccc84d1e1a14ca372b | 2,051 | py | Python | test/ryu/vsw-602_mp_port_desc.py | iMasaruOki/lagopus | 69c303b65acbc2d4661691c190c42946654de1b3 | [
"Apache-2.0"
] | 281 | 2015-01-06T13:36:14.000Z | 2022-03-14T03:29:46.000Z | test/ryu/vsw-602_mp_port_desc.py | iMasaruOki/lagopus | 69c303b65acbc2d4661691c190c42946654de1b3 | [
"Apache-2.0"
] | 115 | 2015-01-06T11:09:21.000Z | 2020-11-26T11:44:23.000Z | test/ryu/vsw-602_mp_port_desc.py | lagopus/lagopus | 69c303b65acbc2d4661691c190c42946654de1b3 | [
"Apache-2.0"
] | 108 | 2015-01-06T05:12:01.000Z | 2022-01-02T03:28:50.000Z | from ryu.base.app_manager import RyuApp
from ryu.controller.ofp_event import EventOFPSwitchFeatures
from ryu.controller.ofp_event import EventOFPPortDescStatsReply
from ryu.controller.handler import set_ev_cls
from ryu.controller.handler import CONFIG_DISPATCHER
from ryu.controller.handler import MAIN_DISPATCHER
from r... | 41.02 | 75 | 0.644564 | 1,603 | 0.78157 | 0 | 0 | 918 | 0.447587 | 0 | 0 | 186 | 0.090687 |
b12709adc431ec818c3f1dc683d016b6ef1c240b | 508 | py | Python | mamba/exceptions.py | bmintz/mamba-lang | f63e205dc4de5e8ba3308e2b47b1675a9b508e70 | [
"MIT"
] | 20 | 2015-01-15T19:40:33.000Z | 2021-09-22T15:26:27.000Z | mamba/exceptions.py | bmintz/mamba-lang | f63e205dc4de5e8ba3308e2b47b1675a9b508e70 | [
"MIT"
] | 3 | 2015-03-25T21:53:48.000Z | 2017-05-07T12:22:20.000Z | mamba/exceptions.py | bmintz/mamba-lang | f63e205dc4de5e8ba3308e2b47b1675a9b508e70 | [
"MIT"
] | 11 | 2017-09-15T21:41:04.000Z | 2021-09-22T15:15:58.000Z | class InterpreterException(Exception):
def __init__(self, message):
self.message = message
def __str__(self):
return self.message
class SymbolNotFound(InterpreterException):
pass
class UnexpectedCharacter(InterpreterException):
pass
class ParserSyntaxError(InterpreterException):
... | 16.933333 | 52 | 0.761811 | 490 | 0.964567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b128e2f322061ebf320f3ab6964b531facfd7042 | 21,812 | py | Python | test/phytozome_test.py | samseaver/GenomeFileUtil | b17afb465569a34a12844283918ec654911f96cf | [
"MIT"
] | null | null | null | test/phytozome_test.py | samseaver/GenomeFileUtil | b17afb465569a34a12844283918ec654911f96cf | [
"MIT"
] | null | null | null | test/phytozome_test.py | samseaver/GenomeFileUtil | b17afb465569a34a12844283918ec654911f96cf | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
import os # noqa: F401
import json # noqa: F401
import time
import shutil
import re
import sys
import datetime
import collections
#import simplejson
from os import environ
try:
from ConfigParser import ConfigParser # py2
except:
from configparser import ConfigParser ... | 46.606838 | 139 | 0.496011 | 20,995 | 0.962544 | 0 | 0 | 1,274 | 0.058408 | 0 | 0 | 4,031 | 0.184807 |
b129413908fca02566b29b673b606e60be14141b | 7,824 | py | Python | icetray_version/trunk/resources/scripts/make_plots.py | hershalpandya/airshowerclassification_llhratio_test | a2a2ce5234c8f455fe56c332ab4fcc65008e9409 | [
"MIT"
] | null | null | null | icetray_version/trunk/resources/scripts/make_plots.py | hershalpandya/airshowerclassification_llhratio_test | a2a2ce5234c8f455fe56c332ab4fcc65008e9409 | [
"MIT"
] | null | null | null | icetray_version/trunk/resources/scripts/make_plots.py | hershalpandya/airshowerclassification_llhratio_test | a2a2ce5234c8f455fe56c332ab4fcc65008e9409 | [
"MIT"
] | null | null | null |
# coding: utf-8
# In[1]:
import numpy as np
get_ipython().magic(u'matplotlib inline')
from matplotlib import pyplot as plt
from matplotlib.colors import LogNorm
import sys
sys.path.append('../../python/')
from general_functions import load_5D_PDF_from_file
from mpl_toolkits.mplot3d import Axes3D
from matplotlib imp... | 23.709091 | 103 | 0.61797 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,112 | 0.142127 |
b12945ba640ad4a03105665c4e82e2d609d22997 | 3,171 | py | Python | tests/test_vector.py | slode/triton | d440c510f4841348dfb9109f03858c75adf75564 | [
"MIT"
] | null | null | null | tests/test_vector.py | slode/triton | d440c510f4841348dfb9109f03858c75adf75564 | [
"MIT"
] | null | null | null | tests/test_vector.py | slode/triton | d440c510f4841348dfb9109f03858c75adf75564 | [
"MIT"
] | null | null | null | # Copyright (c) 2013 Stian Lode
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distrib... | 24.022727 | 79 | 0.602964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,073 | 0.338379 |
b129d2583e5ec5edf4eaa2db0112f68dbe43bc35 | 3,912 | py | Python | build.py | Lvue-YY/Lvue-YY | 630b1ea5d4db9b5d9373d4e9dbbfa9f8fc9baf2e | [
"Apache-2.0"
] | 1 | 2020-07-28T15:48:06.000Z | 2020-07-28T15:48:06.000Z | build.py | Lvue-YY/Lvue-YY | 630b1ea5d4db9b5d9373d4e9dbbfa9f8fc9baf2e | [
"Apache-2.0"
] | null | null | null | build.py | Lvue-YY/Lvue-YY | 630b1ea5d4db9b5d9373d4e9dbbfa9f8fc9baf2e | [
"Apache-2.0"
] | null | null | null | import httpx
import pathlib
import re
import datetime
from bs4 import BeautifulSoup
root = pathlib.Path(__file__).parent.resolve()
def formatGMTime(timestamp):
UTC_FORMAT = '%Y-%m-%dT%H:%M:%SZ'
timeStr = datetime.datetime.strptime(timestamp, UTC_FORMAT) + datetime.timedelta(hours=2, minutes=30)
dateStr =... | 37.615385 | 110 | 0.57362 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,146 | 0.292945 |
b12c849d2ef4e720802c1f093c8c0678dd35a0b0 | 1,061 | py | Python | app/models/news_article_test.py | engineer237/News-application | 66d7e8d70c5c023292dea4f5b87bd11ab5fb102e | [
"MIT"
] | null | null | null | app/models/news_article_test.py | engineer237/News-application | 66d7e8d70c5c023292dea4f5b87bd11ab5fb102e | [
"MIT"
] | null | null | null | app/models/news_article_test.py | engineer237/News-application | 66d7e8d70c5c023292dea4f5b87bd11ab5fb102e | [
"MIT"
] | null | null | null | import unittest # module for testing
from models import news_article
class TestNewsArticles(unittest.TestCase):
'''
TestNewsArticles for testing class news_articles
'''
def setUp(self):
'''
Set up method to run before each test cases.
'''
# id, title ,poster, url_link, d... | 48.227273 | 227 | 0.697455 | 947 | 0.889202 | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 0.7277 |
b12dc2d34aac9627697ee3968231db8487e21dff | 2,216 | py | Python | samples/at.bestsolution.framework.grid.personsample.model/utils/datafaker.py | BestSolution-at/framework-grid | cdab70e916e20a1ce6bc81fa69339edbb34a2731 | [
"Apache-2.0"
] | 4 | 2015-01-19T11:35:38.000Z | 2021-05-20T04:31:26.000Z | samples/at.bestsolution.framework.grid.personsample.model/utils/datafaker.py | BestSolution-at/framework-grid | cdab70e916e20a1ce6bc81fa69339edbb34a2731 | [
"Apache-2.0"
] | 3 | 2015-01-22T10:42:51.000Z | 2015-02-04T13:06:56.000Z | samples/at.bestsolution.framework.grid.personsample.model/utils/datafaker.py | BestSolution-at/framework-grid | cdab70e916e20a1ce6bc81fa69339edbb34a2731 | [
"Apache-2.0"
] | 3 | 2015-01-15T09:45:13.000Z | 2016-03-08T11:29:58.000Z | #! /usr/bin/env python3
import sys
import random
import os
from faker import Factory as FFactory
OUTFILE = "samples.xmi"
NUM_SAMPLES = 10
NUM_COUNTRIES = 4
TEMPLATE = """<?xml version="1.0" encoding="ASCII"?>
<person:Root
xmi:version="2.0"
xmlns:xmi="http://www.omg.org/XMI"
xmlns:xsi="http://www.w3.org/... | 24.622222 | 116 | 0.553249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 776 | 0.350181 |
b12e9ab06bf81720fa6f6bbe4f8fd67e00e19bb0 | 977 | py | Python | tests/test_utility.py | ericbdaniels/pygeostat | 94d9cba9265945268f08302f86ce5ba1848fd601 | [
"MIT"
] | null | null | null | tests/test_utility.py | ericbdaniels/pygeostat | 94d9cba9265945268f08302f86ce5ba1848fd601 | [
"MIT"
] | null | null | null | tests/test_utility.py | ericbdaniels/pygeostat | 94d9cba9265945268f08302f86ce5ba1848fd601 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
__author__ = 'pygeostat development team'
__date__ = '2020-01-04'
__version__ = '1.0.0'
import os, sys
try:
import pygeostat as gs
except ImportError:
sys.path.append(os.path.abspath(os.path.join(os.... | 22.204545 | 86 | 0.684749 | 439 | 0.449335 | 0 | 0 | 0 | 0 | 0 | 0 | 313 | 0.320368 |
b12fefdc2ed55826f47db62ac7208620f95060a4 | 10,654 | py | Python | rockets/rocket.py | rsewell97/open-starship | ecb5f848b8ce2d7119defec0960b6ccdc176a9db | [
"Unlicense"
] | null | null | null | rockets/rocket.py | rsewell97/open-starship | ecb5f848b8ce2d7119defec0960b6ccdc176a9db | [
"Unlicense"
] | null | null | null | rockets/rocket.py | rsewell97/open-starship | ecb5f848b8ce2d7119defec0960b6ccdc176a9db | [
"Unlicense"
] | null | null | null | import time
import multiprocessing as mp
import numpy as np
from scipy.spatial.transform import Rotation
from world import Earth
class Rocket(object):
def __init__(self, planet=Earth()):
self.planet = planet
self.propellant_mass = 1e6
self.dry_mass = 40e3
self.max_thrust = 2e5 *... | 33.71519 | 141 | 0.583255 | 10,521 | 0.987516 | 0 | 0 | 3,766 | 0.353482 | 0 | 0 | 1,488 | 0.139666 |
b1311d08ef54f651d8ccb73e1a63e7ab49ee598f | 868 | py | Python | examples/complex/tcp_message.py | 0x7c48/mitmproxy | f9d8f3bae3f4e681d5f4d406b7e06b099e60ecba | [
"MIT"
] | 74 | 2016-03-20T17:39:26.000Z | 2020-05-12T13:53:23.000Z | examples/complex/tcp_message.py | 0x7c48/mitmproxy | f9d8f3bae3f4e681d5f4d406b7e06b099e60ecba | [
"MIT"
] | 7 | 2020-06-16T06:35:02.000Z | 2022-03-15T20:15:53.000Z | examples/complex/tcp_message.py | 0x7c48/mitmproxy | f9d8f3bae3f4e681d5f4d406b7e06b099e60ecba | [
"MIT"
] | 5 | 2016-12-14T14:56:57.000Z | 2020-03-08T20:58:31.000Z | """
tcp_message Inline Script Hook API Demonstration
------------------------------------------------
* modifies packets containing "foo" to "bar"
* prints various details for each packet.
example cmdline invocation:
mitmdump --rawtcp --tcp-host ".*" -s examples/complex/tcp_message.py
"""
from mitmproxy.utils import ... | 31 | 68 | 0.644009 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.4447 |
b1318eb081bf81d3b2433e9aac0b4bedfc511b35 | 186 | py | Python | notes/notebook/apps.py | spam128/notes | 100008b7e0a2afa5677c15826588105027f52883 | [
"MIT"
] | null | null | null | notes/notebook/apps.py | spam128/notes | 100008b7e0a2afa5677c15826588105027f52883 | [
"MIT"
] | null | null | null | notes/notebook/apps.py | spam128/notes | 100008b7e0a2afa5677c15826588105027f52883 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
from django.utils.translation import gettext_lazy as _
class NotebookConfig(AppConfig):
name = "notes.notebook"
verbose_name = _("Notebook")
| 20.666667 | 54 | 0.763441 | 93 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.139785 |
b1319080e17c411506273e715ba06f2cae72f330 | 409 | py | Python | tests/unit/test_app_init.py | isabella232/typeseam | 3e9d090ec84f2110ae69051364bb0905feb2f02c | [
"BSD-3-Clause"
] | 2 | 2016-02-02T01:14:33.000Z | 2016-04-22T03:45:50.000Z | tests/unit/test_app_init.py | codeforamerica/typeseam | 3e9d090ec84f2110ae69051364bb0905feb2f02c | [
"BSD-3-Clause"
] | 114 | 2015-12-21T23:57:01.000Z | 2016-08-18T01:47:31.000Z | tests/unit/test_app_init.py | isabella232/typeseam | 3e9d090ec84f2110ae69051364bb0905feb2f02c | [
"BSD-3-Clause"
] | 2 | 2016-01-21T09:22:02.000Z | 2021-04-16T09:49:56.000Z | from unittest import TestCase
from unittest.mock import Mock, patch
from typeseam.app import (
load_initial_data,
)
class TestModels(TestCase):
@patch('typeseam.app.os.environ.get')
def test_load_initial_data(self, env_get):
ctx = Mock(return_value=Mock(
__exit__=Mock(),
... | 24.058824 | 46 | 0.662592 | 282 | 0.689487 | 0 | 0 | 249 | 0.608802 | 0 | 0 | 29 | 0.070905 |
b1334d852e2065801f7e2f8ab3a80a2b0c5761be | 2,090 | py | Python | execution/execution.py | nafetsHN/environment | 46bf40e5b4bdf3259c5306497cc70c359ca197d2 | [
"MIT"
] | null | null | null | execution/execution.py | nafetsHN/environment | 46bf40e5b4bdf3259c5306497cc70c359ca197d2 | [
"MIT"
] | null | null | null | execution/execution.py | nafetsHN/environment | 46bf40e5b4bdf3259c5306497cc70c359ca197d2 | [
"MIT"
] | null | null | null | import sys
sys.path.append('../')
from abc import ABCMeta, abstractmethod
# https://www.python-course.eu/python3_abstract_classes.php
import logging
import oandapyV20
from oandapyV20 import API
import oandapyV20.endpoints.orders as orders
from oandapyV20.contrib.requests import MarketOrderRequest
class... | 29.43662 | 79 | 0.635407 | 1,745 | 0.834928 | 0 | 0 | 183 | 0.08756 | 0 | 0 | 631 | 0.301914 |
b133b22a086276eadb705450f1bd4e54352efb5b | 3,360 | py | Python | conda/update_versions.py | PicoJr/StereoPipeline | 146110a4d43ce6cb5e950297b8dca3f3b5e3f3b4 | [
"Apache-2.0"
] | 323 | 2015-01-10T12:34:24.000Z | 2022-03-24T03:52:22.000Z | conda/update_versions.py | PicoJr/StereoPipeline | 146110a4d43ce6cb5e950297b8dca3f3b5e3f3b4 | [
"Apache-2.0"
] | 252 | 2015-07-27T16:36:31.000Z | 2022-03-31T02:34:28.000Z | conda/update_versions.py | PicoJr/StereoPipeline | 146110a4d43ce6cb5e950297b8dca3f3b5e3f3b4 | [
"Apache-2.0"
] | 105 | 2015-02-28T02:37:27.000Z | 2022-03-14T09:17:30.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# __BEGIN_LICENSE__
# Copyright (c) 2009-2013, United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration. All
# rights reserved.
#
# The NGT platform is licensed under the Apache License, Version 2.0 (the
# "Lic... | 29.734513 | 88 | 0.622024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,743 | 0.51875 |
b133ecf4dd2609e5dbd8da4502d3368bb3abe2c9 | 172 | py | Python | test.py | uuidd/SimilarCharacter | 22e5f4b0b2798d903435aeb989ff2d0a4ad59d70 | [
"MIT"
] | 199 | 2019-09-09T08:44:19.000Z | 2022-03-24T12:42:04.000Z | test.py | uuidd/SimilarCharacter | 22e5f4b0b2798d903435aeb989ff2d0a4ad59d70 | [
"MIT"
] | 4 | 2020-08-06T08:03:28.000Z | 2022-01-06T15:14:36.000Z | test.py | uuidd/SimilarCharacter | 22e5f4b0b2798d903435aeb989ff2d0a4ad59d70 | [
"MIT"
] | 58 | 2019-10-10T06:56:43.000Z | 2022-03-21T02:58:01.000Z | import cv2
import ProcessWithCV2
img1 = cv2.imread("D:/py/chinese/7.png")
img2 = cv2.imread("D:/py/chinese/8.png")
a = ProcessWithCV2.dHash(img1, img2, 1)
print(a)
| 21.5 | 41 | 0.686047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.244186 |
b134a6803ce8be92cdcf0e2af682a4bd189585d7 | 3,782 | py | Python | scripts/common/alignments.py | SilasK/genome_sketch | 83366703669d749957e1935d6794b93023ed063d | [
"MIT"
] | 1 | 2021-03-26T11:41:55.000Z | 2021-03-26T11:41:55.000Z | scripts/common/alignments.py | SilasK/FastDrep | 83366703669d749957e1935d6794b93023ed063d | [
"MIT"
] | null | null | null | scripts/common/alignments.py | SilasK/FastDrep | 83366703669d749957e1935d6794b93023ed063d | [
"MIT"
] | null | null | null | import pandas as pd
import os
MINIMAP_HEADERS = [
"Contig2",
"Length2",
"Start2",
"End2",
"Strand",
"Contig1",
"Length1",
"Start1",
"End1",
"Nmatches",
"Allength",
"Quality",
]
MINIMAP_DATATYPES = [str, int, int, int, str, str, int, int, int, int, int, int]
assert len(... | 26.447552 | 87 | 0.536489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 813 | 0.214966 |
b13523d49b7c54fc6f8d9d277610505b22619edf | 961 | py | Python | python/sprint1_nonfinals/l.py | tu2gin/algorithms-templates | 14267819a11d36ee9125009b05049334bfdcec2a | [
"MIT"
] | null | null | null | python/sprint1_nonfinals/l.py | tu2gin/algorithms-templates | 14267819a11d36ee9125009b05049334bfdcec2a | [
"MIT"
] | null | null | null | python/sprint1_nonfinals/l.py | tu2gin/algorithms-templates | 14267819a11d36ee9125009b05049334bfdcec2a | [
"MIT"
] | null | null | null | # L. Лишняя буква
# Васе очень нравятся задачи про строки, поэтому он придумал свою.
# Есть 2 строки s и t, состоящие только из строчных букв. Строка
# t получена перемешиванием букв строки s и добавлением 1 буквы в
# случайную позицию. Нужно найти добавленную букву.
# Формат ввода
# На вход подаются строки s и t,... | 29.121212 | 69 | 0.707596 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 796 | 0.610429 |
b1353e1a12ba28028561c94ebd3cbfad77dbf672 | 194 | py | Python | bentoml/lightgbm.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 1 | 2021-06-12T17:04:07.000Z | 2021-06-12T17:04:07.000Z | bentoml/lightgbm.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | 4 | 2021-05-16T08:06:25.000Z | 2021-11-13T08:46:36.000Z | bentoml/lightgbm.py | francoisserra/BentoML | 213e9e9b39e055286f2649c733907df88e6d2503 | [
"Apache-2.0"
] | null | null | null | from ._internal.frameworks.lightgbm import load
from ._internal.frameworks.lightgbm import save
from ._internal.frameworks.lightgbm import load_runner
__all__ = ["load", "load_runner", "save"]
| 32.333333 | 54 | 0.804124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.128866 |
b1355b614d3140ba034b33a7f3ee7859a1245971 | 723 | py | Python | flake8_strings/visitor.py | d1618033/flake8-strings | 2ad34a41eab65e2264da7aa91c54dbca701af1c5 | [
"MIT"
] | null | null | null | flake8_strings/visitor.py | d1618033/flake8-strings | 2ad34a41eab65e2264da7aa91c54dbca701af1c5 | [
"MIT"
] | 1 | 2021-02-19T13:50:29.000Z | 2021-02-19T13:50:29.000Z | flake8_strings/visitor.py | d1618033/flake8-strings | 2ad34a41eab65e2264da7aa91c54dbca701af1c5 | [
"MIT"
] | null | null | null | import ast
from typing import List
from flake8_plugin_utils import Visitor
from .errors import UnnecessaryBackslashEscapingError
class StringsVisitor(Visitor):
lines: List[str]
def _is_escaped_char(self, character: str) -> bool:
repr_c = repr(character)
return repr_c[1] == '\\' and repr_c[2... | 27.807692 | 69 | 0.615491 | 589 | 0.814661 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.042877 |
b1355fb67bbb27f060266c03cc17b3aa9d3f3edd | 1,384 | py | Python | tests/test_asyncio_hn.py | MITBigDataGroup2/asyncio-hn | 7133530e8ffb56b7810bcd956241709fc2ae0f48 | [
"MIT"
] | 30 | 2017-02-12T21:58:10.000Z | 2021-11-04T00:11:49.000Z | tests/test_asyncio_hn.py | MITBigDataGroup2/asyncio-hn | 7133530e8ffb56b7810bcd956241709fc2ae0f48 | [
"MIT"
] | 4 | 2017-03-21T12:40:19.000Z | 2021-11-15T17:46:46.000Z | tests/test_asyncio_hn.py | MITBigDataGroup2/asyncio-hn | 7133530e8ffb56b7810bcd956241709fc2ae0f48 | [
"MIT"
] | 2 | 2017-12-18T09:11:45.000Z | 2022-02-09T16:45:49.000Z | #!/usr/bin/env python3.6
# -*- coding: utf-8 -*-
import pytest
from asyncio_hn import ClientHN
@pytest.mark.asyncio
async def test_last_n_posts():
async with ClientHN() as hn:
posts = await hn.last_n_items(2)
assert len(posts) == 2
@pytest.mark.asyncio
async def test_download_posts():
asyn... | 28.244898 | 74 | 0.629335 | 0 | 0 | 0 | 0 | 1,145 | 0.827312 | 1,061 | 0.766618 | 167 | 0.120665 |
b13626eb09eac5813e547227a9c0e21459be9cf0 | 5,649 | py | Python | src/data/make_dataset.py | Rajasvi/Adverse-Food-Events-Analysis | 8fb87cfaa4c55eaae56325e516623ad8661d7fb8 | [
"MIT"
] | 1 | 2021-12-16T02:40:31.000Z | 2021-12-16T02:40:31.000Z | src/data/make_dataset.py | AdityaR-Bits/adverse_food_events_analysis-1 | 8fb87cfaa4c55eaae56325e516623ad8661d7fb8 | [
"MIT"
] | 1 | 2021-12-04T00:58:50.000Z | 2021-12-04T00:58:50.000Z | src/data/make_dataset.py | AdityaR-Bits/adverse_food_events_analysis-1 | 8fb87cfaa4c55eaae56325e516623ad8661d7fb8 | [
"MIT"
] | 2 | 2021-12-04T02:11:26.000Z | 2021-12-04T06:32:19.000Z | # -*- coding: utf-8 -*-
import click
import logging
from pathlib import Path
import pandas as pd
import re
import string
from nltk.corpus import stopwords
def brand_preprocess(row, trim_len=2):
""" This function creates a brand name column by parsing out the product column of data. It trims the words based on tri... | 32.465517 | 172 | 0.657639 | 0 | 0 | 0 | 0 | 3,142 | 0.556205 | 0 | 0 | 2,225 | 0.393875 |
b1367245e5290f368fa75d027c1ba49c8fa30f4e | 5,061 | py | Python | src/compare_eval.py | gccrpm/cdmf | 5fca1393acbedbbd6ebc65bf2c9336645cc3e0fc | [
"BSD-2-Clause"
] | 1 | 2020-04-16T05:06:39.000Z | 2020-04-16T05:06:39.000Z | src/compare_eval.py | gccrpm/cdmf | 5fca1393acbedbbd6ebc65bf2c9336645cc3e0fc | [
"BSD-2-Clause"
] | null | null | null | src/compare_eval.py | gccrpm/cdmf | 5fca1393acbedbbd6ebc65bf2c9336645cc3e0fc | [
"BSD-2-Clause"
] | 1 | 2020-04-16T05:06:52.000Z | 2020-04-16T05:06:52.000Z | import os
import re
import hyperparams as hp
from data_load import DataLoad
from tqdm import tqdm
import numpy as np
import pandas as pd
import tensorflow as tf
def load_ckpt_paths(model_name='cdmf'):
# get ckpt
ckpt_path = '../model_ckpt/compare/{}/'.format(model_name)
fpaths = []
with open(ckpt_pat... | 40.814516 | 87 | 0.538234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 597 | 0.117961 |
b13b701d2eb809667c24251d55ce1c0bf248bc34 | 1,465 | py | Python | substitute_finder/migrations/0003_product.py | tohugaby/pur_beurre_web | c3bdacee50907eea79821e7a8b3fe0f349719d88 | [
"MIT"
] | 1 | 2020-01-05T18:58:51.000Z | 2020-01-05T18:58:51.000Z | substitute_finder/migrations/0003_product.py | tohugaby/pur_beurre_web | c3bdacee50907eea79821e7a8b3fe0f349719d88 | [
"MIT"
] | 3 | 2020-06-05T18:35:47.000Z | 2021-06-10T20:32:44.000Z | substitute_finder/migrations/0003_product.py | tomlemeuch/pur_beurre_web | c3bdacee50907eea79821e7a8b3fe0f349719d88 | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2018-08-14 09:42
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('substitute_finder', '0002_category'),
]
operations = [
migrations.CreateModel(
name='Product',
... | 44.393939 | 133 | 0.624573 | 1,343 | 0.915474 | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 0.286299 |
b13db7a0887619658384413e84415d13be784dc2 | 6,613 | py | Python | parameters/standard.py | David-Loibl/gistemp | 4b96696243cbbb425c7b27fed35398e0fef9968d | [
"BSD-3-Clause"
] | 1 | 2020-02-04T13:16:05.000Z | 2020-02-04T13:16:05.000Z | parameters/standard.py | David-Loibl/gistemp4.0 | 4b96696243cbbb425c7b27fed35398e0fef9968d | [
"BSD-3-Clause"
] | null | null | null | parameters/standard.py | David-Loibl/gistemp4.0 | 4b96696243cbbb425c7b27fed35398e0fef9968d | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
#
# parameters/standard.py
#
# Nick Barnes, Ravenbrook Limited, 2010-02-15
# Avi Persin, Revision 2016-01-06
"""Parameters controlling the standard GISTEMP algorithm.
Various parameters controlling each phase of the algorithm are
collected and documented here. They appear here in approximately... | 42.121019 | 77 | 0.788145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,855 | 0.885377 |
b13ecc0cc389e823f57ccec244dcd3eab8ae5459 | 5,781 | py | Python | pypdevs/src/pypdevs/tracers/tracerCell.py | martinvy/sin-model-elevators | ebf6511d61326972b2e366c8975f76a944196a6f | [
"MIT"
] | 1 | 2018-09-19T14:42:28.000Z | 2018-09-19T14:42:28.000Z | pypdevs/src/pypdevs/tracers/tracerCell.py | martinvy/sin-model-elevators | ebf6511d61326972b2e366c8975f76a944196a6f | [
"MIT"
] | null | null | null | pypdevs/src/pypdevs/tracers/tracerCell.py | martinvy/sin-model-elevators | ebf6511d61326972b2e366c8975f76a944196a6f | [
"MIT"
] | 2 | 2020-05-29T10:12:37.000Z | 2021-05-19T21:32:35.000Z | # Copyright 2014 Modelling, Simulation and Design Lab (MSDL) at
# McGill University and the University of Antwerp (http://msdl.cs.mcgill.ca/)
#
# 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... | 35.466258 | 113 | 0.523785 | 4,967 | 0.859194 | 0 | 0 | 0 | 0 | 0 | 0 | 2,327 | 0.402526 |
b13f03597d9a5e677488aa6621f7a6411da41c2d | 3,223 | py | Python | Estrangement/tests/test_utils.py | kawadia/estrangement | 612542bf4af64f248766ad28c18028ff4b2307b5 | [
"BSD-3-Clause"
] | 7 | 2015-02-17T14:04:25.000Z | 2020-02-16T08:59:00.000Z | tnetwork/DCD/externals/estrangement_master/Estrangement/tests/test_utils.py | Yquetzal/tnetwork | 43fb2f19aeed57a8a9d9af032ee80f1c9f58516d | [
"BSD-2-Clause"
] | 1 | 2019-07-13T16:16:28.000Z | 2019-07-15T09:34:33.000Z | Estrangement/tests/test_utils.py | kawadia/estrangement | 612542bf4af64f248766ad28c18028ff4b2307b5 | [
"BSD-3-Clause"
] | 4 | 2015-02-20T15:29:59.000Z | 2021-03-28T04:12:08.000Z | import networkx as nx
import sys
import os
import nose
sys.path.append(os.getcwd() + "/..")
import utils
class test_utils:
def setUp(self):
self.g0 = nx.Graph()
self.g1 = nx.Graph()
self.g2 = nx.Graph()
self.g3 = nx.Graph()
self.g4 = nx.Graph()
self.g5 = nx.Graph()
self.g7 = nx.Graph(... | 48.104478 | 127 | 0.630779 | 3,111 | 0.96525 | 0 | 0 | 0 | 0 | 0 | 0 | 393 | 0.121936 |
b13f674704e7fed7b35db9e06e6e7c93a0224c41 | 2,184 | py | Python | src/train.py | stephenllh/bcs-unet | be534a25e28cbe3501278d0ee6e2417b2cd737d3 | [
"MIT"
] | 5 | 2021-05-04T12:46:32.000Z | 2022-03-17T09:33:39.000Z | src/train.py | stephenllh/bcs-unet | be534a25e28cbe3501278d0ee6e2417b2cd737d3 | [
"MIT"
] | null | null | null | src/train.py | stephenllh/bcs-unet | be534a25e28cbe3501278d0ee6e2417b2cd737d3 | [
"MIT"
] | null | null | null | import os
import argparse
import pytorch_lightning as pl
from pytorch_lightning.callbacks import (
ModelCheckpoint,
EarlyStopping,
LearningRateMonitor,
)
from pytorch_lightning.loggers import TensorBoardLogger
from pytorch_lightning.utilities.seed import seed_everything
from data.emnist import EMNISTDataMod... | 29.12 | 104 | 0.688645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 490 | 0.224359 |
b1402f6a4aea579ed7251e589133544512e942f3 | 6,681 | py | Python | perturbation_classifiers/util/dataset.py | rjos/perturbation-classifiers | 5637b49c5c297e20b4ee6bcee25173d9d11d642f | [
"MIT"
] | null | null | null | perturbation_classifiers/util/dataset.py | rjos/perturbation-classifiers | 5637b49c5c297e20b4ee6bcee25173d9d11d642f | [
"MIT"
] | null | null | null | perturbation_classifiers/util/dataset.py | rjos/perturbation-classifiers | 5637b49c5c297e20b4ee6bcee25173d9d11d642f | [
"MIT"
] | null | null | null | # coding=utf-8
# Author: Rodolfo J. O. Soares <[email protected]>
import numpy as np
import re
class KeelAttribute:
"""
A class that represent an attribute of keel dataset format.
"""
TYPE_REAL, TYPE_INTEGER, TYPE_NOMINAL = ("real", "integer", "nominal")
def __init__(self, attribute_name... | 33.074257 | 163 | 0.553959 | 3,503 | 0.524323 | 0 | 0 | 0 | 0 | 0 | 0 | 1,813 | 0.271367 |
b14084e431f80764a4ba711f2600b59b246111f5 | 830 | py | Python | ex44e.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | ex44e.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | ex44e.py | liggettla/python | 4bdad72bc2143679be6d1f8722b83cc359753ca9 | [
"MIT"
] | null | null | null | #Rather than rely on inplicit inheritance from other classes, classes can just
#call the functions from a class; termed composition
class Other(object):
def override(self):
print "OTHER override()"
def implicit(self):
print "OTHER implicit()"
def altered(self):
print "OTHER alter... | 21.842105 | 78 | 0.639759 | 634 | 0.763855 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 0.427711 |
b14119e47e0e47d908eda6baf79a8ccfb87c16a5 | 2,333 | py | Python | tools/create_doc.py | nbigaouette/gitlab-api-rs | e84c871ad6f852072a373cd950ede546525913eb | [
"Apache-2.0",
"MIT"
] | 11 | 2017-01-22T18:12:57.000Z | 2021-02-15T21:14:34.000Z | tools/create_doc.py | nbigaouette/gitlab-api-rs | e84c871ad6f852072a373cd950ede546525913eb | [
"Apache-2.0",
"MIT"
] | 16 | 2016-12-05T22:09:27.000Z | 2021-12-25T14:56:43.000Z | tools/create_doc.py | nbigaouette/gitlab-api-rs | e84c871ad6f852072a373cd950ede546525913eb | [
"Apache-2.0",
"MIT"
] | 3 | 2017-01-25T19:30:52.000Z | 2018-01-24T09:08:07.000Z | #!/usr/bin/env python3
import os
import re
import sys
import urllib.request
# api_filename = "projects.md"
api_filename = "groups.md"
url = "https://gitlab.com/gitlab-org/gitlab-ce/raw/master/doc/api/" + api_filename
doc_dir = "doc_tmp"
if not os.path.exists(doc_dir):
os.makedirs(doc_dir)
filename, headers =... | 33.328571 | 106 | 0.624946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 775 | 0.33219 |
b14315cacfc7adb3442f4613fdef5630de51a32c | 997 | py | Python | samples/butia/sumo_crono/push_mouse_event.py | RodPy/Turtlebots.activity | f885d7d2e5d710c01294ae60da995dfb0eb36b21 | [
"MIT"
] | null | null | null | samples/butia/sumo_crono/push_mouse_event.py | RodPy/Turtlebots.activity | f885d7d2e5d710c01294ae60da995dfb0eb36b21 | [
"MIT"
] | null | null | null | samples/butia/sumo_crono/push_mouse_event.py | RodPy/Turtlebots.activity | f885d7d2e5d710c01294ae60da995dfb0eb36b21 | [
"MIT"
] | 1 | 2020-06-17T15:44:16.000Z | 2020-06-17T15:44:16.000Z | #Copyright (c) 2009-11, Walter Bender, Tony Forster
# This procedure is invoked when the user-definable block on the
# "extras" palette is selected.
# Usage: Import this code into a Python (user-definable) block; when
# this code is run, the current mouse status will be pushed to the
# FILO heap. If a mouse button ev... | 36.925926 | 70 | 0.675025 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 697 | 0.699097 |
b144174f87f4c7e89faeb2a0f3dc32dfe6c660fe | 2,593 | py | Python | espn_api/hockey/constant.py | samthom1/espn-api | 6f3f5915a65f1f7e17778d3a5d3f1121e8c7d5fe | [
"MIT"
] | null | null | null | espn_api/hockey/constant.py | samthom1/espn-api | 6f3f5915a65f1f7e17778d3a5d3f1121e8c7d5fe | [
"MIT"
] | null | null | null | espn_api/hockey/constant.py | samthom1/espn-api | 6f3f5915a65f1f7e17778d3a5d3f1121e8c7d5fe | [
"MIT"
] | null | null | null | #Constants
POSITION_MAP = {
# Remaining: F, IR, Util
0 : '0' # IR?
, 1 : 'Center'
, 2 : 'Left Wing'
, 3 : 'Right Wing'
, 4 : 'Defense'
, 5 : 'Goalie'
, 6 : '6' # Forward ?
, 7 : '7' # Goalie, F (Goalie Bench?)
, 8 : '8' # Goalie, F
, 'Center': 1
, 'Left Wing'... | 20.744 | 42 | 0.415349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,335 | 0.514649 |
b1445f82594bc253e4a47533cb5834aed7b2e1e1 | 649 | py | Python | dataval/conftest.py | weishengtoh/machinelearning_assignment | 2099377faf0b1086cb3c496eecd3b0ae533a90f2 | [
"Apache-2.0"
] | null | null | null | dataval/conftest.py | weishengtoh/machinelearning_assignment | 2099377faf0b1086cb3c496eecd3b0ae533a90f2 | [
"Apache-2.0"
] | null | null | null | dataval/conftest.py | weishengtoh/machinelearning_assignment | 2099377faf0b1086cb3c496eecd3b0ae533a90f2 | [
"Apache-2.0"
] | null | null | null | import os
import pandas as pd
import pytest
import yaml
import wandb
run = wandb.init(project='RP_NVIDIA_Machine_Learning',
job_type='data_validation')
@pytest.fixture(scope='session')
def data():
config_path = os.path.join(os.pardir, 'configs')
with open(os.path.join(config_path, 'datav... | 21.633333 | 77 | 0.694915 | 0 | 0 | 0 | 0 | 474 | 0.730354 | 0 | 0 | 148 | 0.228043 |
b1450ba4c392fda6a05914dd0e6efe6138ef8c05 | 8,049 | py | Python | src/abaqus/Odb/Odb.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | 7 | 2022-01-21T09:15:45.000Z | 2022-02-15T09:31:58.000Z | src/abaqus/Odb/Odb.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | src/abaqus/Odb/Odb.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | from abaqusConstants import *
from .OdbPart import OdbPart
from .OdbStep import OdbStep
from .SectionCategory import SectionCategory
from ..Amplitude.AmplitudeOdb import AmplitudeOdb
from ..BeamSectionProfile.BeamSectionProfileOdb import BeamSectionProfileOdb
from ..Filter.FilterOdb import FilterOdb
from ..Material.Mat... | 37.966981 | 112 | 0.610262 | 7,700 | 0.956403 | 0 | 0 | 0 | 0 | 0 | 0 | 6,784 | 0.842628 |
b1483e23d7d2752b7248ed2d54d8ac8e55492604 | 241 | py | Python | popcorn_gallery/tutorials/urls.py | Koenkk/popcorn_maker | 0978b9f98dacd4e8eb753404b24eb584f410aa11 | [
"BSD-3-Clause"
] | 15 | 2015-03-23T02:55:20.000Z | 2021-01-12T12:42:30.000Z | popcorn_gallery/tutorials/urls.py | Koenkk/popcorn_maker | 0978b9f98dacd4e8eb753404b24eb584f410aa11 | [
"BSD-3-Clause"
] | null | null | null | popcorn_gallery/tutorials/urls.py | Koenkk/popcorn_maker | 0978b9f98dacd4e8eb753404b24eb584f410aa11 | [
"BSD-3-Clause"
] | 16 | 2015-02-18T21:43:31.000Z | 2021-11-09T22:50:03.000Z | from django.conf.urls.defaults import patterns, url
urlpatterns = patterns(
'popcorn_gallery.tutorials.views',
url(r'^(?P<slug>[\w-]+)/$', 'object_detail', name='object_detail'),
url(r'^$', 'object_list', name='object_list'),
)
| 30.125 | 71 | 0.66805 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 116 | 0.481328 |
b1485dd7aa764623468a3437193c8ab420612082 | 3,738 | py | Python | tests/characterisation/test_kelvin_models.py | pauliacomi/adsutils | 062653b38924d419d1235edf7909078ff98a163f | [
"MIT"
] | 35 | 2018-01-24T14:59:08.000Z | 2022-03-10T02:47:58.000Z | tests/characterisation/test_kelvin_models.py | pauliacomi/adsutils | 062653b38924d419d1235edf7909078ff98a163f | [
"MIT"
] | 29 | 2018-01-06T12:08:08.000Z | 2022-03-11T20:26:53.000Z | tests/characterisation/test_kelvin_models.py | pauliacomi/adsutils | 062653b38924d419d1235edf7909078ff98a163f | [
"MIT"
] | 20 | 2019-06-12T19:20:29.000Z | 2022-03-02T09:57:02.000Z | """
This test module has tests relating to kelvin model validations.
All functions in /calculations/models_kelvin.py are tested here.
The purposes are:
- testing the meniscus shape determination function
- testing the output of the kelvin equations
- testing that the "function getter" is performing as exp... | 35.264151 | 80 | 0.607277 | 3,169 | 0.84778 | 0 | 0 | 3,199 | 0.855805 | 0 | 0 | 1,137 | 0.304173 |
b1491744c42a7da1be2a17f6cb231604a6c7385b | 2,231 | py | Python | packages/jet_bridge/jet_bridge/__main__.py | bokal2/jet-bridge | dddc4f55c2d5a28c02ce9515dffc750e3887450f | [
"MIT"
] | 1 | 2020-02-06T01:07:44.000Z | 2020-02-06T01:07:44.000Z | packages/jet_bridge/jet_bridge/__main__.py | bokal2/jet-bridge | dddc4f55c2d5a28c02ce9515dffc750e3887450f | [
"MIT"
] | null | null | null | packages/jet_bridge/jet_bridge/__main__.py | bokal2/jet-bridge | dddc4f55c2d5a28c02ce9515dffc750e3887450f | [
"MIT"
] | null | null | null | import os
from datetime import datetime
import sys
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from jet_bridge_base import configuration
from jet_bridge.configuration import JetBridgeConfiguration
conf = JetBridgeConfiguration()
configuration.set_configuration(conf)
from jet_bridge_b... | 30.561644 | 103 | 0.714926 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 319 | 0.142985 |
b14a3e4e999395aab5aac5de3e1df984c03e66f4 | 690 | py | Python | casepro/translation.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | 5 | 2015-07-21T15:58:31.000Z | 2019-09-14T22:34:00.000Z | casepro/translation.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | 197 | 2015-03-24T15:26:04.000Z | 2017-11-28T19:24:37.000Z | casepro/translation.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | 10 | 2015-03-24T12:26:36.000Z | 2017-02-21T13:08:57.000Z | from __future__ import unicode_literals
from django.utils.translation import ugettext as _
from django.utils.translation import get_language as _get_language
from modeltranslation.translator import translator, TranslationOptions
from modeltranslation import utils
from nsms.text.models import Text
class TextTranslati... | 27.6 | 70 | 0.815942 | 72 | 0.104348 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.237681 |
b14a72da64d12a7c8066ba502beb5c9606168931 | 147 | py | Python | Booleans/4.2.4 If/4.2.5 Fix the problem.py | ferrerinicolas/python_samples | 107cead4fbee30b275a5e2be1257833129ce5e46 | [
"MIT"
] | null | null | null | Booleans/4.2.4 If/4.2.5 Fix the problem.py | ferrerinicolas/python_samples | 107cead4fbee30b275a5e2be1257833129ce5e46 | [
"MIT"
] | null | null | null | Booleans/4.2.4 If/4.2.5 Fix the problem.py | ferrerinicolas/python_samples | 107cead4fbee30b275a5e2be1257833129ce5e46 | [
"MIT"
] | null | null | null | can_juggle = True
# The code below has problems. See if
# you can fix them!
#if can_juggle print("I can juggle!")
#else
print("I can't juggle.")
| 16.333333 | 37 | 0.693878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 0.782313 |
b14c88c3a21671daaf4ca901cbbd386b9d8bf26a | 703 | py | Python | pytools/mpiwrap.py | nchristensen/pytools | 82da2e0aad6863763f1950318bcb933662020135 | [
"MIT"
] | 52 | 2015-06-23T10:30:24.000Z | 2021-07-28T20:50:31.000Z | pytools/mpiwrap.py | nchristensen/pytools | 82da2e0aad6863763f1950318bcb933662020135 | [
"MIT"
] | 72 | 2015-10-22T18:57:08.000Z | 2022-03-01T00:04:45.000Z | pytools/mpiwrap.py | nchristensen/pytools | 82da2e0aad6863763f1950318bcb933662020135 | [
"MIT"
] | 27 | 2015-09-14T07:24:04.000Z | 2021-12-17T14:31:33.000Z | """See pytools.prefork for this module's reason for being."""
import mpi4py.rc # pylint:disable=import-error
mpi4py.rc.initialize = False
from mpi4py.MPI import * # noqa pylint:disable=wildcard-import,wrong-import-position
import pytools.prefork # pylint:disable=wrong-import-position
pytools.prefork.enable_prefor... | 33.47619 | 85 | 0.762447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.517781 |
b14cfa3a8ca9bb29e189356b82457936f9e99aff | 6,096 | py | Python | vlcp/service/connection/tcpserver.py | geek-plus/vlcp | e7936e00929fcef00c04d4da39b67d9679d5f083 | [
"Apache-2.0"
] | 1 | 2016-09-10T12:09:29.000Z | 2016-09-10T12:09:29.000Z | vlcp/service/connection/tcpserver.py | wan-qy/vlcp | e7936e00929fcef00c04d4da39b67d9679d5f083 | [
"Apache-2.0"
] | null | null | null | vlcp/service/connection/tcpserver.py | wan-qy/vlcp | e7936e00929fcef00c04d4da39b67d9679d5f083 | [
"Apache-2.0"
] | null | null | null | '''
Created on 2015/10/19
:author: hubo
'''
from vlcp.server.module import Module, api
from vlcp.event import TcpServer
from vlcp.event.runnable import RoutineContainer
from vlcp.event.connection import Client
class TcpServerBase(Module):
'''
Generic tcp server on specified URLs, vHosts are supported.
'''... | 43.234043 | 146 | 0.564304 | 5,883 | 0.965059 | 4,170 | 0.684055 | 0 | 0 | 0 | 0 | 1,014 | 0.166339 |
b14d75f54839eba4678025c29ab6853f284addcb | 1,571 | py | Python | make/requirements.py | Fizzadar/Kanmail | 3915b1056949b50410478d1519b9276d64ef4f5d | [
"OpenSSL"
] | 12 | 2019-02-10T21:18:53.000Z | 2020-02-17T07:40:48.000Z | make/requirements.py | Fizzadar/Kanmail | 3915b1056949b50410478d1519b9276d64ef4f5d | [
"OpenSSL"
] | 71 | 2017-11-17T07:13:02.000Z | 2020-04-03T15:25:43.000Z | make/requirements.py | Fizzadar/Kanmail | 3915b1056949b50410478d1519b9276d64ef4f5d | [
"OpenSSL"
] | 1 | 2020-02-15T03:16:13.000Z | 2020-02-15T03:16:13.000Z | from distutils.spawn import find_executable
from os import path
import click
from .settings import (
BASE_DEVELOPMENT_REQUIREMENTS_FILENAME,
BASE_REQUIREMENTS_FILENAME,
DEVELOPMENT_REQUIREMENTS_FILENAME,
REQUIREMENTS_FILENAME,
)
from .util import print_and_run
def _ensure_pip_tools_installed():
... | 21.819444 | 93 | 0.695099 | 0 | 0 | 0 | 0 | 1,066 | 0.678549 | 0 | 0 | 411 | 0.261617 |
b14f875123a59ce6fa0837c5ecb49e829cede9cf | 1,135 | py | Python | integration/python/src/helper/hosts.py | ArpitShukla007/planetmint | 4b1e215e0059e26c0cee6778c638306021b47bdd | [
"Apache-2.0"
] | 3 | 2022-01-19T13:39:52.000Z | 2022-01-28T05:57:08.000Z | integration/python/src/helper/hosts.py | ArpitShukla007/planetmint | 4b1e215e0059e26c0cee6778c638306021b47bdd | [
"Apache-2.0"
] | 67 | 2022-01-13T22:42:17.000Z | 2022-03-31T14:18:26.000Z | integration/python/src/helper/hosts.py | ArpitShukla007/planetmint | 4b1e215e0059e26c0cee6778c638306021b47bdd | [
"Apache-2.0"
] | 7 | 2022-01-13T16:20:54.000Z | 2022-02-07T11:42:05.000Z | # Copyright © 2020 Interplanetary Database Association e.V.,
# Planetmint and IPDB software contributors.
# SPDX-License-Identifier: (Apache-2.0 AND CC-BY-4.0)
# Code is Apache-2.0 and docs are CC-BY-4.0
from typing import List
from planetmint_driver import Planetmint
class Hosts:
hostnames = []
connections... | 30.675676 | 102 | 0.667841 | 861 | 0.757923 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.201585 |
b151396bf4b33731a5544d5a99c0e63a228fafd2 | 24,737 | py | Python | baiduspider/core/__init__.py | samuelmao415/BaiduSpider | c896201ced6714878ad13867f83d740f303df68b | [
"MIT"
] | 1 | 2020-09-19T03:17:08.000Z | 2020-09-19T03:17:08.000Z | baiduspider/core/__init__.py | samuelmao415/BaiduSpider | c896201ced6714878ad13867f83d740f303df68b | [
"MIT"
] | null | null | null | baiduspider/core/__init__.py | samuelmao415/BaiduSpider | c896201ced6714878ad13867f83d740f303df68b | [
"MIT"
] | null | null | null | """BaiduSpider，爬取百度的利器
:Author: Sam Zhang
:Licence: MIT
:GitHub: https://github.com/samzhangjy
:GitLab: https://gitlab.com/samzhangjy
TODO: 完成文档
TODO: 添加更多爬虫
"""
import json
import os
import re
from html import unescape
from pprint import pprint
from urllib.parse import quote, urlparse
import requests
from bs4 impor... | 33.701635 | 767 | 0.402353 | 27,191 | 0.980174 | 0 | 0 | 0 | 0 | 0 | 0 | 17,579 | 0.633683 |
b15153401c65e82722c6b9906d4e09d6524f4e20 | 1,200 | py | Python | HY_Plotter/windReader/reader/cfosat.py | BigShuiTai/HY-CFOSAT-ASCAT-Wind-Data-Plotter | 5be90e5d35151d4c056c77344bf5075e144c3113 | [
"MIT"
] | 1 | 2021-08-22T06:30:58.000Z | 2021-08-22T06:30:58.000Z | HY_Plotter/windReader/reader/cfosat.py | Dapiya/HY-CFOSAT-L2B-Wind-Data-Plotter | 5be90e5d35151d4c056c77344bf5075e144c3113 | [
"MIT"
] | 1 | 2021-10-30T07:25:17.000Z | 2021-10-30T16:22:17.000Z | HY_Plotter/windReader/reader/cfosat.py | Dapiya/HY-CFOSAT-L2B-Wind-Data-Plotter | 5be90e5d35151d4c056c77344bf5075e144c3113 | [
"MIT"
] | 1 | 2021-08-21T12:51:39.000Z | 2021-08-21T12:51:39.000Z | import netCDF4
import numpy as np
class CFOSAT(object):
def extract(fname):
try:
init = netCDF4.Dataset(fname)
except Exception:
lats, lons, data_spd, data_dir, data_time, sate_name, res = [], [], [], [], "", "", ""
return lats, lons, data_spd, data_dir, data_t... | 41.37931 | 115 | 0.549167 | 1,166 | 0.97005 | 0 | 0 | 0 | 0 | 0 | 0 | 248 | 0.206323 |
b15405b5c4a9b35dd5bdc84b62d31229a91e7265 | 17,228 | py | Python | example_snippets.py | kimberscott/ffmpeg-stimuli-generation | 54bce134a3236d9e7d2fefe4538378d76f2db798 | [
"MIT"
] | null | null | null | example_snippets.py | kimberscott/ffmpeg-stimuli-generation | 54bce134a3236d9e7d2fefe4538378d76f2db798 | [
"MIT"
] | null | null | null | example_snippets.py | kimberscott/ffmpeg-stimuli-generation | 54bce134a3236d9e7d2fefe4538378d76f2db798 | [
"MIT"
] | 1 | 2020-08-14T17:15:29.000Z | 2020-08-14T17:15:29.000Z | """
Examples of using the functions in videotools.py to generate videos.
This file will not run as-is - it is just intended to provide reference commands you might copy and edit.
"""
import os
from videotools import *
this_path = os.path.dirname(os.path.abspath(__file__))
input_path = os.path.join(this_path, "example... | 40.252336 | 187 | 0.390585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,994 | 0.231832 |
b1542cd589e62fb7173b027c1b40c713b7897ca2 | 615 | py | Python | sample_project/env/lib/python3.9/site-packages/qtpy/tests/test_qtprintsupport.py | Istiakmorsalin/ML-Data-Science | 681e68059b146343ef55b0671432dc946970730d | [
"MIT"
] | 4 | 2021-11-19T03:25:13.000Z | 2022-02-24T15:32:30.000Z | sample_project/env/lib/python3.9/site-packages/qtpy/tests/test_qtprintsupport.py | Istiakmorsalin/ML-Data-Science | 681e68059b146343ef55b0671432dc946970730d | [
"MIT"
] | null | null | null | sample_project/env/lib/python3.9/site-packages/qtpy/tests/test_qtprintsupport.py | Istiakmorsalin/ML-Data-Science | 681e68059b146343ef55b0671432dc946970730d | [
"MIT"
] | 3 | 2020-08-04T02:48:32.000Z | 2020-08-17T01:20:09.000Z | from __future__ import absolute_import
import pytest
from qtpy import QtPrintSupport
def test_qtprintsupport():
"""Test the qtpy.QtPrintSupport namespace"""
assert QtPrintSupport.QAbstractPrintDialog is not None
assert QtPrintSupport.QPageSetupDialog is not None
assert QtPrintSupport.QPrint... | 32.368421 | 59 | 0.782114 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.071545 |
b155f55e9f976d163537ef6daaa4dfc7e72b3594 | 2,004 | py | Python | logbook/auth.py | nicola-zanardi/personal-logbook | d44989825ec82437ffd50572c23ef7c2ddf00e30 | [
"Unlicense"
] | null | null | null | logbook/auth.py | nicola-zanardi/personal-logbook | d44989825ec82437ffd50572c23ef7c2ddf00e30 | [
"Unlicense"
] | 7 | 2019-08-28T18:22:40.000Z | 2020-01-15T09:10:13.000Z | logbook/auth.py | nicola-zen/personal-logbook | d44989825ec82437ffd50572c23ef7c2ddf00e30 | [
"Unlicense"
] | null | null | null | from flask import Blueprint, flash, redirect, render_template, request, url_for
from werkzeug.security import check_password_hash, generate_password_hash
from flask_login import login_required, login_user, logout_user
from logbook.models import User, db
from peewee import fn
auth = Blueprint("auth", __name__)
... | 30.363636 | 94 | 0.686627 | 0 | 0 | 0 | 0 | 1,653 | 0.82485 | 0 | 0 | 522 | 0.260479 |