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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
41da78eeb82897161300840746eef404c63146f0 | 7,485 | py | Python | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | 2 | 2020-02-01T14:59:15.000Z | 2021-11-03T12:39:10.000Z | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | 5 | 2019-01-26T11:58:58.000Z | 2019-08-31T08:16:59.000Z | test_farbfeld.py | jmp/farbfeld | 08cb56957624cfe3a1fe872390aa3252226e57cd | [
"MIT"
] | null | null | null | # pylint: disable=missing-docstring
import io
import unittest
import farbfeld
class ReadTest(unittest.TestCase):
def test_read_empty_data(self):
self.assertRaises(
farbfeld.InvalidFormat,
farbfeld.read,
io.BytesIO(b''),
)
def test_read_header_only(self):
... | 30.303644 | 76 | 0.501536 | 7,400 | 0.988644 | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 0.224449 |
41dae6ca6afa36e98373f82982a75e2c50d8cc74 | 571 | py | Python | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | DigitRecognition/go-test.py | shifuture/kaggle-join | 8cc8fb6042982cba1d9a0eced1488c5a13557e80 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python
# -*- coding: utf-8 -*-
import csv
import numpy as np
def loadTestData():
l=[]
with open('./data/test.csv') as file:
lines=csv.reader(file)
for line in lines:
l.append(list(e if e=='0' else 1 for e in line))
#remove csv head
l.remove(l[0])
data=n... | 24.826087 | 70 | 0.595447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.206655 |
41dc7c7b8b8afe1b3ff6333c9f01816fc91e0652 | 54,070 | py | Python | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 98 | 2015-01-01T12:46:05.000Z | 2022-02-13T14:17:36.000Z | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 46 | 2015-02-10T19:53:38.000Z | 2022-01-11T17:26:05.000Z | src/funcFit/TutorialExampleSanity.py | mirofedurco/PyAstronomy | b0e5806a18bde647654e6c9de323327803722864 | [
"MIT"
] | 38 | 2015-01-08T17:00:34.000Z | 2022-03-04T05:15:22.000Z | from __future__ import print_function, division
import unittest
import os
class ExampleSanity(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def sanity_firstExample(self):
# Import numpy and matplotlib
from numpy import arange, sqrt, exp, pi, random, ones
import mat... | 32.435513 | 103 | 0.597263 | 53,675 | 0.992695 | 0 | 0 | 167 | 0.003089 | 0 | 0 | 26,718 | 0.494137 |
41de05126656eb0665e6b6dd493d706236d85602 | 2,905 | py | Python | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | virtual_machines/update-matching-table.py | AmoVanB/chameleon-end-host | 573e1dccdaf4ca2bebedc96a7b902e622c50acab | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
"""
This script, to be used by VM 0, sends a configuration
message to the virtual switch to create a particular
tagging and shaping rule.
Author: Amaury Van Bemten <amaury.van-bemten@tum.de>
"""
from scapy.all import *
import sys
# import scapy config
from scapy.all import conf as scapyconf
# dis... | 40.915493 | 161 | 0.683649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 725 | 0.24957 |
41df73d109c0b036f4dc5a0fd33804ce5856c662 | 1,351 | py | Python | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | radSeqAmp/_versioninfo.py | msettles/radSeqAmp | a89d1aa12601dcd7aba0e83b2ae28fc3ff76989f | [
"Apache-2.0"
] | null | null | null | # _versioninfo.py
#
# gets the version number from the package info
# checks it agains the github version
import sys
from pkg_resources import get_distribution, parse_version
try:
_dist = get_distribution('radSeqAmp')
version_num = _dist.version
except:
version_num = 'Please install this project with setup... | 40.939394 | 123 | 0.763138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 540 | 0.399704 |
41df8366d44990c149549ad5a6aecb5e9bc2fcdb | 5,835 | py | Python | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | weekly_degradation.py | rajeevratan84/LTE-KPI-Anomaly-Detection | b5d3ce261f75b94956867645fd3479c0b2eb0cd8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from configuration.settings import Conf
from database.sql_connect import SQLDatabase
from KPIForecaster.forecaster import KPIForecaster
from datetime import datetime
import pandas as pd
import numpy as np
import time
import sys
import os.path
def findDegradation(df, weeks = 3):
df_prev = df.s... | 35.150602 | 119 | 0.656041 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,217 | 0.379949 |
41e2290afea8242f9b3ad627b8896fc8296f5d30 | 110 | py | Python | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | 11 | 2020-05-29T20:56:48.000Z | 2021-09-22T15:44:42.000Z | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | null | null | null | basis/cli/commands/logout.py | kvh/basis | 8d109ff5ccf2c30b1a11406827d2c1620691ad95 | [
"BSD-3-Clause"
] | null | null | null | from basis.cli.services import auth
def logout():
"""Log out of your Basis account"""
auth.logout()
| 15.714286 | 39 | 0.663636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.318182 |
41e4a272d03b82c913d673af1e5e15ff825ef623 | 2,074 | py | Python | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | blockade/komand_blockade/actions/add_user/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
USER_EMAIL = "user_email"
USER_NAME = "user_name"
USER_ROLE = "user_role"
class Output:
API_KEY = "api_key"
EMAIL = "email"
MESSAGE = "message"
NAME = "name"
ROLE = "role"
SUCCESS = "success"
... | 18.192982 | 57 | 0.486982 | 1,988 | 0.958534 | 0 | 0 | 0 | 0 | 0 | 0 | 1,582 | 0.762777 |
41e5525e7a720e9de54e83ab3802a2d8a16f8134 | 7,937 | py | Python | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 138 | 2018-11-28T21:42:44.000Z | 2022-03-30T17:26:35.000Z | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 36 | 2019-02-19T18:33:20.000Z | 2022-01-24T18:02:44.000Z | starthinker/tool/example.py | Ressmann/starthinker | 301c5cf17e382afee346871974ca2f4ae905a94a | [
"Apache-2.0"
] | 54 | 2018-12-06T05:47:32.000Z | 2022-02-21T22:01:01.000Z | ###########################################################################
#
# Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/l... | 32.528689 | 164 | 0.643442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,986 | 0.628197 |
41e5c2cff74537381853da7d7af093ed89964ce8 | 1,080 | py | Python | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | null | null | null | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | 3 | 2021-09-24T01:23:38.000Z | 2021-09-28T22:15:29.000Z | services/test_companies_match.py | devx3/hero-testes-tech-talk | 604641f41c18cd9f9f2b59c8c25cf0a2fc6adfcb | [
"MIT"
] | 1 | 2021-09-29T13:18:39.000Z | 2021-09-29T13:18:39.000Z | from unittest import mock, TestCase
from unittest.mock import Mock
from services.companies_match import CompaniesMatch
from services.mock import RESPONSE_MOCK
class TestCompaniesMatch(TestCase):
@mock.patch('services.companies_match.requests.get')
def test_if_response_is_ok(self, mock_get):
"""Retur... | 38.571429 | 85 | 0.730556 | 918 | 0.85 | 0 | 0 | 871 | 0.806481 | 0 | 0 | 181 | 0.167593 |
41e6ee84a456c6b5415e417d61175deacfc9d081 | 2,618 | py | Python | src/plot_weighted_graph.py | suning-opensource/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 18 | 2020-12-24T04:26:21.000Z | 2022-03-24T07:32:39.000Z | src/plot_weighted_graph.py | kiminh/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 1 | 2021-05-07T06:47:34.000Z | 2021-05-07T06:47:34.000Z | src/plot_weighted_graph.py | kiminh/frustrated-random-walk | 7de559c20e96567a61853668f36d786b126ed57f | [
"Apache-2.0"
] | 8 | 2020-10-22T23:51:55.000Z | 2021-08-24T06:36:19.000Z | #!/usr/bin/env python
"""
==============
Weighted Graph
==============
An example using Graph as a weighted network.
"""
# Author: Aric Hagberg (hagberg@lanl.gov)
import matplotlib.pyplot as plt
import networkx as nx
def readEdgeFile(edgeFileName, pageRankFileName):
import os
assert(os.path.exists(edgeFileNam... | 31.542169 | 151 | 0.559587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.192513 |
41ec186af56971b756995a21107e22571cd744ca | 1,980 | py | Python | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | src/util/TournamentGenerationSelector.py | athoslag/Evolutiva | 408c71d89969f445fe8054666f18492a6ff26fb8 | [
"MIT"
] | null | null | null | import operator
import random
from src.domain.Individual import Individual
from src.util.AbstractGeneration import AbstractGeneration
'''
Seletor #2 - Método de seleção por torneio
A seleção por torneio sorteia aleatoriamente dois indivíduos e seleciona
para participar da próxima geração aquele com melhor avaliação.... | 35.357143 | 94 | 0.660101 | 1,641 | 0.824209 | 0 | 0 | 0 | 0 | 0 | 0 | 422 | 0.211954 |
41eda4e4dba365b6d5b2482768194356e609bc8f | 596 | py | Python | scraper/collect_image_stats/get_domains_and_urls.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 2 | 2019-12-11T05:50:39.000Z | 2021-12-06T12:28:40.000Z | scraper/collect_image_stats/get_domains_and_urls.py | martinGalajdaSchool/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | 19 | 2019-12-16T21:23:00.000Z | 2022-03-02T14:59:12.000Z | scraper/collect_image_stats/get_domains_and_urls.py | martin-galajda/object-detection | 2c72b643464a89b91daac520a862ebaad2b3f9f0 | [
"Apache-2.0"
] | null | null | null | import csv
def get_domains_and_urls():
domains = []
urls = []
with open('./scraper/foto-domains-2019-03.csv', 'r') as csvfile:
csvreader = csv.reader(csvfile, delimiter=',')
row_idx = 0
for row in csvreader:
if row_idx == 0:
row_idx += 1
... | 22.923077 | 68 | 0.486577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.177852 |
41ee3ae8e8b92e612ac4608c7da1d0e996a06da5 | 3,583 | py | Python | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 2 | 2015-06-15T02:16:33.000Z | 2022-02-23T07:10:38.000Z | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 7 | 2016-05-13T06:39:45.000Z | 2016-05-20T02:55:31.000Z | patches_tool/constants.py | Hybrid-Cloud/badam | 390ad3a6fc03948008f7c04ed2f9fcc8514cc1eb | [
"Apache-2.0"
] | 4 | 2015-11-02T04:02:50.000Z | 2021-05-13T17:06:00.000Z | __author__ = 'nash.xiejun'
import os
class FileName(object):
PATCHES_TOOL_CONFIG_FILE = 'patches_tool_config.ini'
class CfgFilePath(object):
HYBRID_CLOUD_CONFIG_FILES = 'hybrid_cloud_config_files'
# 'neutron-l2-proxy.json'
NEUTRON_L2_PROXY_JSON_FILE = 'neutron-l2-proxy.json'
# '/etc/neut... | 44.234568 | 117 | 0.718113 | 3,518 | 0.981859 | 0 | 0 | 0 | 0 | 0 | 0 | 803 | 0.224114 |
41eef09d352b027d57f768a34a0d9c5369b206e4 | 1,919 | py | Python | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | samples/physics-mecanum/src/physics.py | sarosenb/pyfrc | 9376b86dad6fab209bb4e904fead1155dda7a68b | [
"MIT"
] | null | null | null | #
# See the notes for the other physics sample
#
from pyfrc import wpilib
from pyfrc.physics import drivetrains
class PhysicsEngine(object):
'''
Simulates a 4-wheel robot using Tank Drive joystick control
'''
# Specified in feet
ROBOT_WIDTH = 2
ROBOT_HEIGHT = 3
ROBOT_STARTI... | 30.951613 | 91 | 0.593538 | 1,801 | 0.93851 | 0 | 0 | 0 | 0 | 0 | 0 | 978 | 0.50964 |
41efa0b1f23a58e01d79993abae419de0e29ae35 | 5,994 | py | Python | fonts/diamonstealth64_8x14.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | 6 | 2020-07-11T16:59:19.000Z | 2021-07-16T19:32:49.000Z | ports/esp32/user_modules/st7735_mpy/fonts/diamonstealth64_8x14.py | d4niele/micropython | a1f7b37d392bf46b28045ce215ae899fda8d8c38 | [
"MIT"
] | 1 | 2020-04-14T03:14:45.000Z | 2020-04-14T03:14:45.000Z | fonts/diamonstealth64_8x14.py | ccccmagicboy/st7735_mpy | b15f1bde69fbe6e0eb4931c57e71c136d8e7f024 | [
"MIT"
] | null | null | null | """converted from ..\fonts\DiamonStealth64_8x14.bin """
WIDTH = 8
HEIGHT = 14
FIRST = 0x20
LAST = 0x7f
_FONT =\
b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x18\x3c\x3c\x3c\x18\x18\x00\x18\x18\x00\x00\x00\x00'\
b'\x66\x66\x66\x24\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\
b'\x00\x6c\x6c\xfe\x6c\x6... | 57.085714 | 60 | 0.704705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5,719 | 0.954121 |
41efccef82f28d187c0597489e64c7649630dd85 | 864 | py | Python | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | 2 | 2019-12-03T05:29:35.000Z | 2020-01-19T19:22:11.000Z | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | null | null | null | TreeDFS/SumPathNumbers.py | Feez/Algo-Challenges | 6b5f919b4e2c9ba9ed9b7c5d7697fe73740c139e | [
"MIT"
] | null | null | null | class TreeNode:
def __init__(self, val, left=None, right=None):
self.val = val
self.left = left
self.right = right
def dfs(self, total=0):
total = (total * 10) + self.val
if self.left is None and self.right is None:
return total
left = 0
rig... | 22.153846 | 78 | 0.586806 | 519 | 0.600694 | 0 | 0 | 0 | 0 | 0 | 0 | 29 | 0.033565 |
41f244af008573d038af8edc1801e70f08cd96ac | 1,730 | py | Python | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | src/src/modules/ZeroOptimizer.py | ychnlgy/LipoWithGradients | 4fe5228a3dae8bf5d457eef6191ba29314421f6b | [
"MIT"
] | null | null | null | import torch
EPS = 1e-32
class ZeroOptimizer(torch.optim.SGD):
def step(self):
lr = self.param_groups[0]["lr"]
with torch.no_grad():
for group in self.param_groups:
for p in group["params"]:
if p.grad is not None:
p.grad = ca... | 23.69863 | 89 | 0.509249 | 338 | 0.195376 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.046821 |
41f5bd3c227b6e90d9957fe3e9834571a6c5a926 | 2,010 | py | Python | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | null | null | null | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | 1 | 2020-04-24T10:19:24.000Z | 2020-04-24T10:19:24.000Z | python_lesson_4/python_lesson_4_homework_lightplus.py | cubecloud/simple_python | 2bc4ee1720214293dabfa5dbe661a49246c38842 | [
"MIT"
] | null | null | null | # задача
# В файле с логами найти дату самого позднего лога (по метке времени):
log_file_name = 'log'
# Вариант 1
# # открываем и читаем файл
with open(log_file_name, 'r', encoding='utf-8') as text_file:
max_date_str = ''
# Читаем строку и сравниваем
for line in text_file:
if line[:23] > max_date_s... | 31.904762 | 107 | 0.678109 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,537 | 0.594584 |
41f650c872145facc783efbfb2b0dadcd4920f2a | 18,278 | py | Python | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | 4 | 2018-04-21T15:43:50.000Z | 2018-07-10T17:11:31.000Z | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | null | null | null | sappy/m4a.py | SomeShrug/SapPy | cee216bc5f89f0479748efdbeb75c4781d95b0f7 | [
"MIT"
] | 1 | 2018-04-08T03:00:06.000Z | 2018-04-08T03:00:06.000Z | # -*- coding: utf-8 -*-
"""Data-storage containers for internal use."""
import copy
import math
from collections import OrderedDict, deque
from enum import IntEnum
from random import random
from typing import Dict, List, NamedTuple, Union, Tuple, Deque
from .config import (BASE_FREQUENCY, PSG_SQUARE_FREQUENCY, PSG_SQU... | 28.875197 | 80 | 0.585239 | 16,784 | 0.918262 | 0 | 0 | 3,264 | 0.178575 | 0 | 0 | 2,653 | 0.145147 |
41f7aa5d337d6a6a04c73fadceef0f5775c6ce5a | 4,076 | py | Python | examples/manifold/plot_swissroll.py | jlopezNEU/scikit-learn | 593495eebc3c2f2ffdb244036adf57fab707a47d | [
"BSD-3-Clause"
] | 50,961 | 2015-01-01T06:06:31.000Z | 2022-03-31T23:40:12.000Z | examples/manifold/plot_swissroll.py | ashutoshpatelofficial/scikit-learn | 2fc9187879424556726d9345a6656884fa9fbc20 | [
"BSD-3-Clause"
] | 17,065 | 2015-01-01T02:01:58.000Z | 2022-03-31T23:48:34.000Z | examples/manifold/plot_swissroll.py | ashutoshpatelofficial/scikit-learn | 2fc9187879424556726d9345a6656884fa9fbc20 | [
"BSD-3-Clause"
] | 26,886 | 2015-01-01T00:59:27.000Z | 2022-03-31T18:03:23.000Z | """
===================================
Swiss Roll And Swiss-Hole Reduction
===================================
This notebook seeks to compare two popular non-linear dimensionality
techniques, T-distributed Stochastic Neighbor Embedding (t-SNE) and
Locally Linear Embedding (LLE), on the classic Swiss Roll dataset.
Then... | 33.966667 | 86 | 0.692345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,338 | 0.573602 |
41f7f839e3be35c24720ab38c662be95d99e2886 | 2,044 | py | Python | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_IMF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | 1 | 2021-09-21T21:53:17.000Z | 2021-09-21T21:53:17.000Z | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_INF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | null | null | null | INF101/TP/TP9/2.9.3.py | Marshellson/UGA_INF | eb293deabcc5ef6e45617d8c5bb6268b63b34f21 | [
"MIT"
] | null | null | null | '''
Author: JIANG Yilun
Date: 2021-12-01 13:01:29
LastEditTime: 2021-12-01 13:30:06
LastEditors: JIANG Yilun
Description:
FilePath: /INF_101/INF101/TP/TP9/2.9.3.py
'''
import random
def initiale()->dict:
nombre_de_personnes = int(input("Entrez le nombre de personnes: "))
dict_personnes = {}
for i in ran... | 29.623188 | 103 | 0.666341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 386 | 0.188845 |
41f845926aa3ec217a14d9100d2e6f115eb277d1 | 322 | py | Python | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-30T16:24:46.000Z | 2021-11-30T16:24:46.000Z | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 4 | 2021-11-29T13:57:56.000Z | 2022-03-29T06:28:36.000Z | HLTriggerOffline/Exotica/python/analyses/hltExoticaLowPtTrimuon_cff.py | PKUfudawei/cmssw | 8fbb5ce74398269c8a32956d7c7943766770c093 | [
"Apache-2.0"
] | 1 | 2021-11-23T09:25:45.000Z | 2021-11-23T09:25:45.000Z | import FWCore.ParameterSet.Config as cms
LowPtTrimuonPSet = cms.PSet(
hltPathsToCheck = cms.vstring(
),
recMuonLabel = cms.InputTag("muons"),
# -- Analysis specific cuts
minCandidates = cms.uint32(3),
# -- Analysis specific binnings
parametersDxy = cms.vdouble(50, -2.500, 2.500),
... | 26.833333 | 56 | 0.65528 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.201863 |
41fa41d8007e097936f791c465cb628fb82b64ed | 3,021 | py | Python | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | see/test/hooks_manager_test.py | nethunterslabs/see | da9387950d5db7c30ad8a5d1ba12e884afe8b1bb | [
"Apache-2.0"
] | null | null | null | import copy
import mock
import unittest
from see import Hook
from see import hooks
CONFIG = {
"configuration": {"key": "value"},
"hooks": [
{
"name": "see.test.hooks_manager_test.TestHook",
"configuration": {"foo": "bar"},
},
{"name": "see.test.hooks_manager_te... | 31.14433 | 83 | 0.64482 | 2,658 | 0.879841 | 0 | 0 | 0 | 0 | 0 | 0 | 548 | 0.181397 |
41fa5f1eb0cd72600e9f03de9938096cc411d598 | 538 | py | Python | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | null | null | null | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | 12 | 2018-12-01T12:41:36.000Z | 2022-03-11T23:35:55.000Z | api/works/migrations/0004_auto_20181201_2130.py | urbrob/hackathon-2018 | 3261b176304c7fb1a4ed97a3e7a1ac10b1d0608f | [
"MIT"
] | 1 | 2018-12-01T16:41:13.000Z | 2018-12-01T16:41:13.000Z | # Generated by Django 2.0.2 on 2018-12-01 21:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('works', '0003_auto_20181201_2104'),
]
operations = [
migrations.RemoveField(
model_name='test',
name='file',
... | 22.416667 | 73 | 0.565056 | 445 | 0.827138 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.224907 |
41fab0cdfc218549b2a3694e2626d8da1755a58e | 10,467 | py | Python | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 25 | 2019-06-12T21:08:24.000Z | 2022-03-01T08:05:14.000Z | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 2 | 2020-04-23T14:08:00.000Z | 2020-06-04T13:52:44.000Z | massloss_glacier2latlongrid.py | Wang518hongyu/PyGEM | 1c9fa133133b3d463b1383d4792c535fa61c5b8d | [
"MIT"
] | 24 | 2019-06-12T19:48:40.000Z | 2022-02-16T03:42:53.000Z | """ Analyze MCMC output - chain length, etc. """
# Built-in libraries
from collections import OrderedDict
import datetime
import glob
import os
import pickle
# External libraries
import cartopy
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.pyplot import MaxNLocator
from matplotlib.lines impo... | 41.868 | 123 | 0.651572 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,302 | 0.219929 |
41fc333b33ca8b6f1db8177902d0d972f89bd8ec | 3,233 | py | Python | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 471 | 2015-01-10T02:55:01.000Z | 2022-03-29T18:07:18.000Z | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 14,354 | 2015-01-01T07:38:23.000Z | 2022-03-31T20:55:14.000Z | corehq/apps/auditcare/migrations/0003_truncatechars.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | 175 | 2015-01-06T07:16:47.000Z | 2022-03-29T13:27:01.000Z | # Generated by Django 2.2.16 on 2021-04-01 20:23
import corehq.util.models
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('auditcare', '0002_uniques'),
]
operations = [
migrations.AlterField(
model_name='accessaudit',
... | 44.902778 | 110 | 0.62759 | 3,113 | 0.962883 | 0 | 0 | 0 | 0 | 0 | 0 | 1,579 | 0.488401 |
5100323735b98828e50f67b34742d19a272551ac | 6,781 | py | Python | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | tests/infrastructures/repositories/test_user_repository.py | harokki/fastapi-authenticated | baca823d3489739843b4df68f57fa785da7bf50d | [
"MIT"
] | null | null | null | from app.domains.entities.role import Role
from app.domains.entities.user import User
from app.domains.entities.user_role import UserRole
from app.schemas.user import UserCreateSchema
from tests.conftest import DbFixtureType
SQLALCEMY_DATABASE_URL = "sqlite:///./test.db"
def test_find_by_user_id(db: DbFixtureType):
... | 29.354978 | 80 | 0.663766 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 979 | 0.142483 |
510071411b69aed8738cceefd50874bfee413c3c | 146 | py | Python | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | python/reverse_string.py | jendama/training-kit | 738b9743e1f3948bc867f420f75efa47d0971217 | [
"MIT"
] | null | null | null | a = "HACKTOBERFEST"
# reverse by slicing inverse
print(a[::-1])
# reverse text
b = "I Love Fosti"
b = b.split(" ")[::-1]
print(" ".join(b)) | 10.428571 | 28 | 0.575342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.527397 |
5100b17784b04cdb6c2f4076aaca2a9b3a839c93 | 56,140 | py | Python | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/main.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | import math
import random
import json
import copy
from tkinter.constants import COMMAND
from zipfile import ZipFile
import PIL.Image
from PIL import ImageTk
import tkinter as tk
from tkinter import ttk, font, messagebox
from ttkthemes import ThemedStyle
from tooltip import *
from event_manager import EventManager
fro... | 48.271711 | 159 | 0.59658 | 55,332 | 0.985607 | 0 | 0 | 0 | 0 | 0 | 0 | 5,466 | 0.097364 |
51033cdbbaedcb29f8ed65dc37e4cdc367f17763 | 1,411 | py | Python | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | qrtt/technical/rsi.py | leopoldsw/qrtt | 271f23888847f9a0a9a7da360be22c5000b058ab | [
"MIT"
] | null | null | null | """
RSI CALCULATION
The very first calculations for average gain and average loss are simple n-period averages:
First Average Gain = Sum of Gains over the past n periods / n.
First Average Loss = Sum of Losses over the past n periods / n
The second, and subsequent, calculations are based on the prior average... | 34.414634 | 114 | 0.66832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 752 | 0.532955 |
51040493dd07307ebedc78ed9f4e2afac76edbf4 | 1,394 | py | Python | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 456 | 2019-06-11T15:48:52.000Z | 2022-03-28T06:44:10.000Z | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 18 | 2019-06-13T19:33:24.000Z | 2022-02-27T21:31:26.000Z | ext/numdoc.py | kawaken/typescript-guide | e3f6731e370fb834f4f292ff5806556e203c9233 | [
"CC0-1.0"
] | 62 | 2019-06-12T10:11:14.000Z | 2022-03-29T07:31:09.000Z | # coding:utf-8
from docutils import nodes, utils
from sphinx.util.nodes import split_explicit_title
from sphinx import addnodes
from sphinx.writers.latex import LaTeXTranslator
from six import u
def numdoc_role(name, rawtext, text, lineno, inliner, options={}, content=[]):
"""Role for making latex ref to the doc h... | 33.190476 | 78 | 0.652798 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.201717 |
51047009ea571a8e1f957cb448ebd1d72b071fc4 | 2,679 | py | Python | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 5 | 2020-11-04T14:29:37.000Z | 2022-02-23T20:33:07.000Z | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 3 | 2021-07-23T18:48:48.000Z | 2022-03-15T14:59:07.000Z | build/lib/bandwidth/voice/bxml/verbs/redirect.py | Spaced-Out/python-bandwidth-sdk | 5332f29d1c093003444384f63a9d4a00843c954f | [
"MIT"
] | 8 | 2020-04-14T09:22:53.000Z | 2022-03-11T10:46:06.000Z | """
redirect.py
Representation of Bandwidth's redirect BXML verb
@copyright Bandwidth INC
"""
from lxml import etree
from .base_verb import AbstractBxmlVerb
REDIRECT_TAG = "Redirect"
class Redirect(AbstractBxmlVerb):
def __init__(self, redirect_url=None, redirect_method=None, tag=None, username=None, passwo... | 41.215385 | 103 | 0.695035 | 2,488 | 0.928705 | 0 | 0 | 0 | 0 | 0 | 0 | 1,001 | 0.373647 |
5105155b27194145a1c2533733e5d9490dd7a885 | 132 | py | Python | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | numba_stream/__init__.py | jackd/numba-stream | 79a12616a4a5b3107d8e9c17dc98cdeb79b2430a | [
"Apache-2.0"
] | null | null | null | from . import grid, lif, neighbors, ragged, utils
__all__ = [
"grid",
"utils",
"ragged",
"neighbors",
"lif",
]
| 13.2 | 49 | 0.537879 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.280303 |
510589bac3c231ff9dfff00d74d2b2a73850d0b7 | 934 | py | Python | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotTemporaryStatesEnum.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotTemporaryStatesEnum.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Tekla/Structures/ModelInternal_parts/dotTemporaryStatesEnum.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class dotTemporaryStatesEnum(Enum):
""" enum dotTemporaryStatesEnum,values: DOT_TEMPORARY_STATE_ACCEPTED (8),DOT_TEMPORARY_STATE_ACTIVE (6),DOT_TEMPORARY_STATE_DELETED (3),DOT_TEMPORARY_STATE_DM_ONGOING (4),DOT_TEMPORARY_STATE_MODIFIED (2),DOT_TEMPORARY_STATE_NEW (1),DOT_TEMPORARY_STATE_ORIGINAL (7),DOT_TEMPORARY_S... | 58.375 | 424 | 0.826552 | 933 | 0.998929 | 0 | 0 | 0 | 0 | 0 | 0 | 420 | 0.449679 |
5106aa713d6626d3d954ada527f0fad7a1c15261 | 1,872 | py | Python | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | modules/aerodyn/ad_EllipticalWingInf_OLAF/Main_PostPro.py | OpenFAST/openfast-regression | 7892739f47f312ce014711192fd70253ea40c8e8 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# Local
import weio
import welib.fast.fastlib as fastlib
# --- Reference simulations OmniVor / AWSM
ref20 = weio.read('AnalyticalResults/Elliptic_NumReference20.csv').toDataFrame()
ref40 = weio.read('AnalyticalResults/Elliptic_NumReference40.csv'... | 39 | 128 | 0.631944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 954 | 0.509615 |
510acc236531ba47fd115389b56d91a1e8269505 | 15,135 | py | Python | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/plotnine/data/__init__.py | nuriale207/preprocesspack | cc06a9cb79c5e3b392371fcd8d1ccf7185e71821 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
import os
import pandas as pd
from pandas.api.types import CategoricalDtype
__all__ = ['diamonds', 'economics', 'economics_long',
'midwest', 'mpg', 'msleep', 'presidential',
'seals', 'txhousing', 'luv_colours',
... | 29.331395 | 78 | 0.611034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12,992 | 0.85671 |
510be31bb9c422b20d34df7cba9b6a88cf0c6ddf | 235 | py | Python | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | null | null | null | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | 1 | 2015-05-31T10:42:36.000Z | 2015-11-03T17:52:06.000Z | accounts/forms.py | medfiras/Bazinga | 2f77b70a3fe627410ddf0a5be0f074de5e0dccdd | [
"Apache-2.0"
] | null | null | null | from userena.forms import EditProfileForm
from userena import views as userena_views
class CustomEditProfileForm(userena_views.EditProfileForm):
class Meta(EditProfileForm.Meta):
exclude = EditProfileForm.Meta.exclude + ['privacy'] | 39.166667 | 59 | 0.834043 | 149 | 0.634043 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.038298 |
510ca732ab0febae2e491cf6527efb03bb28960e | 2,400 | py | Python | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | 1 | 2021-09-19T11:47:44.000Z | 2021-09-19T11:47:44.000Z | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | null | null | null | Pension & Commutation Calculator/SignUp.py | Abhijit-007a/Pension_And_Commutation_Calculator | 787467af25286fa26f50a2c025711992eb445c8f | [
"Apache-2.0"
] | null | null | null | #importing all the tkinter modules.
from tkinter import *
from tkinter import messagebox
from PIL import Image, ImageTk
import mysql.connector as sql
win = Tk()
#defining basic geometry and characteristics of the window.
win.geometry("1000x700")
image = Image.open('SignUpImage.png')
photo_image = ImageTk.Pho... | 25.806452 | 101 | 0.635833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 817 | 0.340417 |
510ef8a7510ae1de9af9073513790cd07023ac0b | 26,324 | py | Python | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | wikidata_research/dictionary/dictionary_evaluation.py | sjuenger/WikiMETA | 13ed293b4bda8ff0fc10b532907ca35c24a12616 | [
"MIT"
] | null | null | null | # module to evaluate the property dictionary
import json
# global variable for the path to the dictionary
path_to_json_dictionary = "data/property_dictionary.json"
# overload method
#
# recommended == true
# query only those references or qualifiers, that are intended by Wikidata
# .. for References: these are prop... | 48.83859 | 128 | 0.584334 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,805 | 0.334486 |
510f0704162b83a55e2da583192211cbda73f8f2 | 2,987 | py | Python | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | 3 | 2018-07-29T17:31:58.000Z | 2019-06-27T10:36:34.000Z | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | null | null | null | Test13_talking_robot/Test13_preprocess.py | hooloong/My_TensorFlow | ef115989035b9ae14938dca47c0814b0d16dd6ba | [
"MIT"
] | 1 | 2019-02-18T02:27:39.000Z | 2019-02-18T02:27:39.000Z | # coding=utf-8
import os
import random
import sys
conv_path = 'dgk_shooter_min.conv'
if not os.path.exists(conv_path):
print('数据集不存在')
exit()
# 数据集格式
"""
E
M 畹/华/吾/侄/
M 你/接/到/这/封/信/的/时/候/
M 不/知/道/大/伯/还/在/不/在/人/世/了/
E
M 咱/们/梅/家/从/你/爷/爷/起/
M 就/一/直/小/心/翼/翼/地/唱/戏/
M 侍/奉/宫/廷/侍/奉/百/姓/
M 从/来/不/曾/遭/此/大/祸/
M 太/后/的/万... | 24.08871 | 153 | 0.546368 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,590 | 0.623045 |
510f5b8577eceaa2d67a2069c8c286b003c41202 | 2,371 | py | Python | rescape_region/models/project.py | calocan/rescape-region | 8cb0c4d5e2f4c92939eb9a30473808decdb4bef2 | [
"MIT"
] | 1 | 2021-05-08T12:04:23.000Z | 2021-05-08T12:04:23.000Z | rescape_region/models/project.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | 15 | 2021-04-06T18:05:04.000Z | 2022-03-12T00:22:35.000Z | rescape_region/models/project.py | rescapes/rescape-region | b247aa277928d126bcf020c8204994b00ae4c18d | [
"MIT"
] | null | null | null | import reversion
from django.contrib.auth import get_user_model
from django.contrib.gis.db.models import SET_NULL, CASCADE, Q
from django.db.models import (
CharField,
ForeignKey, ManyToManyField, UniqueConstraint)
from django.db.models import JSONField
from safedelete.models import SafeDeleteModel
from rescap... | 45.596154 | 117 | 0.710671 | 1,879 | 0.792493 | 0 | 0 | 1,901 | 0.801771 | 0 | 0 | 964 | 0.40658 |
510fb73823084b9ff3de955296518a2eb7c922e4 | 540 | py | Python | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | 5 | 2016-06-02T04:52:11.000Z | 2018-08-01T20:05:37.000Z | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | null | null | null | wiktts/__init__.py | pettarin/wiktts | 37f9a865ec01604c36a3ab15325f62d8c26e4484 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
"""
TBW
"""
from __future__ import absolute_import
from __future__ import print_function
import io
__author__ = "Alberto Pettarin"
__copyright__ = "Copyright 2016, Alberto Pettarin (www.albertopettarin.it)"
__license__ = "MIT"
__email__ = "alberto@albertopettarin.it"
__version__... | 20.769231 | 75 | 0.748148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.353704 |
510fcdad15a6c8447153e32692aae7694f685210 | 2,456 | py | Python | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | oxe-api/test/resource/user/test_update_user.py | CybersecurityLuxembourg/openxeco | 8d4e5578bde6a07f5d6d569b16b4de224abf7bf0 | [
"BSD-2-Clause"
] | null | null | null | from test.BaseCase import BaseCase
class TestUpdateUser(BaseCase):
@BaseCase.login
@BaseCase.grant_access("/user/update_user")
def test_ok(self, token):
self.db.insert({
"id": 14,
"email": "myemail@test.lu",
"password": "MySecret2!",
"is_admin": 0,
... | 30.7 | 86 | 0.506107 | 2,418 | 0.984528 | 0 | 0 | 2,369 | 0.964577 | 0 | 0 | 480 | 0.19544 |
51106aa7bc640784a651d3a06d5663b7d7680ea4 | 2,834 | py | Python | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | 1 | 2018-07-10T07:03:12.000Z | 2018-07-10T07:03:12.000Z | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | null | null | null | addons/mixins.py | kilinger/marathon-rocketchat-hubot | 682454b90265eb2c66ea222cf0c970370816a9e1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
:copyright: (c) 2015 by the xxxxx Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import, print_function
from hubot.utils.mesos import clean_container_path
class AddonsMixin(object):
addon_name = "addon"
addon_de... | 30.473118 | 104 | 0.623853 | 2,578 | 0.909668 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.11362 |
511493f52cb1eeb1e8430922732560c6965e53e7 | 5,069 | py | Python | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 28 | 2017-07-19T19:02:56.000Z | 2022-01-11T10:40:06.000Z | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 253 | 2018-02-10T22:22:16.000Z | 2022-03-27T18:43:17.000Z | flexmatcher/classify/nGramClassifier.py | austinkwillis/flexmatcher | c771cea696014f62bf919ecf678835d8c655d04f | [
"Apache-2.0"
] | 10 | 2018-02-21T06:41:30.000Z | 2022-02-20T12:18:46.000Z | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import HashingVectorizer
from sklearn.model_selection import StratifiedKFold
from sklearn import linear_model
from... | 44.858407 | 79 | 0.64924 | 4,687 | 0.92464 | 0 | 0 | 0 | 0 | 0 | 0 | 2,334 | 0.460446 |
5116e871b3a1ab4846b46b9fec5ed8c06b14c048 | 3,001 | py | Python | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 303 | 2020-08-27T06:59:55.000Z | 2022-03-18T17:50:16.000Z | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 4 | 2020-12-01T15:06:46.000Z | 2021-11-10T17:38:19.000Z | experiment/test/nngen.py | seonglae/commit-autosuggestions | 49c0ab65f20bda835b7537e042ffc9d338a0d482 | [
"Apache-2.0"
] | 11 | 2020-11-08T01:52:30.000Z | 2021-10-03T18:45:45.000Z | # encoding=utf-8
import os
import time
import fire
from typing import List
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from nltk.translate.bleu_score import sentence_bleu
def load_data(path):
"""load lines from a file"""
with open(path, 'r... | 35.305882 | 96 | 0.671776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 780 | 0.259913 |
51183bc6bdbf292c7756f837673e942a502dd193 | 237 | py | Python | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | null | null | null | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | 3 | 2021-09-08T01:49:02.000Z | 2022-03-12T00:21:18.000Z | torchtraps/__init__.py | winzurk/torchtraps | 9a15a2f723a4cddea7efc187f84956b27eb36f2f | [
"MIT"
] | null | null | null | """Top-level package for Torch Traps."""
__author__ = """Zac Winzurk"""
__email__ = 'zwinzurk@asu.edu'
__version__ = '0.1.0'
# from .coco_camera_traps_loader import *
# from .imagenet import imagenet_classes
# from .lightning import *
| 23.7 | 41 | 0.725738 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.797468 |
511bd43634ea3f540136626b6213102cf02c3ef9 | 7,711 | py | Python | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | null | null | null | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | 3 | 2020-02-26T00:07:53.000Z | 2022-02-26T05:18:31.000Z | odrive/Firmware/fibre/python/fibre/utils.py | kirmani/doggo | f5aadba2a5b664f2d383bca0b35155d65363c498 | [
"MIT"
] | null | null | null |
import sys
import time
import threading
import platform
import subprocess
import os
try:
if platform.system() == 'Windows':
import win32console
# TODO: we should win32console anyway so we could just omit colorama
import colorama
colorama.init()
except ModuleNotFoundError:
print... | 33.672489 | 114 | 0.611983 | 6,483 | 0.840747 | 0 | 0 | 0 | 0 | 0 | 0 | 2,360 | 0.306056 |
51201b8f267ec7a2dece0fc4da0d42b14f47ffba | 2,720 | py | Python | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null | 2021/day09/main.py | ingjrs01/adventofcode | c5e4f0158dac0efc2dbfc10167f2700693b41fea | [
"Apache-2.0"
] | null | null | null |
def search_low(matrix):
positions = []
for i in range(len(matrix)):
for j in range(len(matrix[i])):
if (j > 0):
if (matrix[i][j] >= matrix[i][j-1]):
continue
if (j < len(matrix[i])-1):
if (matrix[i][j] >= matrix[i][j+1]):
... | 30.561798 | 124 | 0.516176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.030136 |
51219e777435d891fa05113f0da030e18ce7d68a | 4,364 | py | Python | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | handwrite/sheettopng.py | sakshamarora1/handwrite | 628c53f9fbca0bf9731e0ebc7d6c8ca2525f1b29 | [
"MIT"
] | null | null | null | import os
import sys
import itertools
import cv2
# Seq: A-Z, a-z, 0-9, SPECIAL_CHARS
ALL_CHARS = list(
itertools.chain(
range(65, 91),
range(97, 123),
range(48, 58),
[ord(i) for i in ".,;:!?\"'-+=/%&()[]"],
)
)
class SheetToPNG:
def __init__(self):
pass
def c... | 36.366667 | 104 | 0.592117 | 3,662 | 0.839138 | 0 | 0 | 0 | 0 | 0 | 0 | 1,371 | 0.314161 |
5121b7e379746aac2a670977c3fda4d01dade4a4 | 1,261 | py | Python | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | 1 | 2021-12-02T18:28:28.000Z | 2021-12-02T18:28:28.000Z | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | null | null | null | 2021/Day 7/solution.py | theleteron/advent-of-code | 45900a8c14a966e4ecbe699e6423072254d09d95 | [
"MIT"
] | null | null | null | class Day():
def __init__(self, data_path):
with open(data_path, "r") as file:
for line in file:
self.positions = [(int(position)) for position in line.strip().split(',')]
def part1(self):
fuel_cost = -1
for target in range(min(self.positions), max(self.posi... | 32.333333 | 109 | 0.569389 | 1,115 | 0.884219 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.019826 |
5121cc545c9a55cdbb8d25e3c6ef3ab3548b3342 | 849 | py | Python | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 160 | 2018-06-13T23:16:26.000Z | 2022-03-11T21:26:44.000Z | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 164 | 2018-07-08T13:05:30.000Z | 2021-09-30T08:54:59.000Z | dataflows/processors/deduplicate.py | cschloer/dataflows | 78a683b5d202512c06021ff6be8ac7f60ef1cd9b | [
"MIT"
] | 41 | 2018-08-07T08:05:30.000Z | 2021-12-18T04:34:06.000Z | from dataflows import PackageWrapper, ResourceWrapper
from ..helpers.resource_matcher import ResourceMatcher
def deduper(rows: ResourceWrapper):
pk = rows.res.descriptor['schema'].get('primaryKey', [])
if len(pk) == 0:
yield from rows
else:
keys = set()
for row in rows:
... | 26.53125 | 62 | 0.599529 | 0 | 0 | 733 | 0.863369 | 0 | 0 | 0 | 0 | 20 | 0.023557 |
512428cd6c69268176ef05fa7a8650131e018089 | 563 | py | Python | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | vendor/mo_logs/log_usingNothing.py | klahnakoski/auth0-api | eda9c2554c641da76687f64445b8d35543d012d9 | [
"MIT"
] | null | null | null | # encoding: utf-8
#
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Author: Kyle Lahnakoski (kyle@lahnakoski.com)
#
from __future__ import absolute_import, divis... | 20.107143 | 75 | 0.694494 | 174 | 0.309059 | 0 | 0 | 0 | 0 | 0 | 0 | 316 | 0.561279 |
51277cbf373e68b6520295ae14d8965cded5385d | 158 | py | Python | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | 3 | 2019-04-08T12:51:57.000Z | 2021-07-28T16:54:41.000Z | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | null | null | null | basic_system/routing.py | JagerCox/basic-project-django2-channels2-gunicorn-dahpne | 5329a06d251706f6f02cf202dff04959982d8214 | [
"MIT"
] | 1 | 2019-04-08T12:52:00.000Z | 2019-04-08T12:52:00.000Z | from django.urls import path
from .consumers import ChatConsumer
websocket_urlpatterns = [
path('ws/<str:room_name>/', ChatConsumer, name='consumer'),
]
| 22.571429 | 63 | 0.746835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.196203 |
5127e82ffefa06ac56296824a5c55b26831611d6 | 3,679 | py | Python | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | null | null | null | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | 11 | 2020-01-28T22:32:20.000Z | 2022-03-11T23:37:57.000Z | examples/development/simulate_policy.py | iclavera/cassie | f2e253bf29fa0f872974188aed1fdfbe06efc37e | [
"MIT"
] | null | null | null | import argparse
from distutils.util import strtobool
import json
import os
import pickle
import tensorflow as tf
import numpy as np
from softlearning.policies.utils import get_policy_from_variant
from softlearning.samplers import rollouts
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argume... | 34.383178 | 109 | 0.589562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,025 | 0.278608 |
5128aaf3cd26118d6b07e1e07b47d69c770a4e85 | 79 | py | Python | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | pathfinder/__init__.py | dsp/aa-pathfinder | 1fdb43948921922d60b8b489b53b33b8ea929d31 | [
"MIT"
] | null | null | null | default_app_config = "pathfinder.apps.PathfinderConfig"
__version__ = "0.1.0"
| 19.75 | 55 | 0.78481 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.518987 |
51297e9b178ac6da2a46669f12b122f74df2ecf7 | 415 | py | Python | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | settings/live.py | mhfowler/abridgedmaps | d0802bd6955714d174d208bea809191bff4615b3 | [
"MIT"
] | null | null | null | from settings.common import *
DEBUG=True
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'mydatabase',
}
}
# Honor the 'X-Forwarded-Proto' header for request.is_secure()
SECURE_PROXY_SSL_HEADER = ('HTTP_X_FORWARDED_PROTO', 'https')
# Allow all host headers
ALLOWED_HO... | 18.863636 | 62 | 0.684337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 234 | 0.563855 |
512a41bacb1cddefe094cb3758285c75286428d1 | 680 | py | Python | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | labelgame/migrations/0011_auto_20170822_1902.py | capriciash/civicu_app | 102a40fb771a9d9b37878da02ea66a0920006d8c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-23 02:02
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('labelgame', '0010_auto_20170822_1857'),
]
operations = [
migrations.AlterFi... | 28.333333 | 199 | 0.598529 | 522 | 0.767647 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.327941 |
512cb58d8316e571507a93e75a64d19559f26b6b | 2,762 | py | Python | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 1 | 2020-11-29T23:00:27.000Z | 2020-11-29T23:00:27.000Z | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | 18 | 2020-08-05T11:59:31.000Z | 2022-03-15T03:48:40.000Z | models/tag.py | noahkw/botw-bot | 8d8c9515a177c52270093fb64abf34d111535d16 | [
"MIT"
] | null | null | null | import re
import discord
from sqlalchemy import (
Column,
String,
BigInteger,
Integer,
Boolean,
update,
delete,
)
from sqlalchemy.ext.hybrid import hybrid_property
from models.base import Base, PendulumDateTime
from util import safe_mention
IMAGE_URL_REGEX = r"https?:\/\/.*\.(jpe?g|png|gi... | 30.351648 | 85 | 0.633599 | 2,435 | 0.881608 | 0 | 0 | 235 | 0.085083 | 605 | 0.219044 | 226 | 0.081825 |
512d55659640ebb6a556347baa4a333ef9d98192 | 1,478 | py | Python | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 15 | 2017-06-07T12:49:12.000Z | 2020-07-25T18:06:04.000Z | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 110 | 2016-06-21T23:20:44.000Z | 2022-02-24T16:15:22.000Z | tests/highlevel/highlink-schema-tf.py | sjdv1982/seamless | 1b814341e74a56333c163f10e6f6ceab508b7df9 | [
"MIT"
] | 6 | 2016-06-21T11:19:22.000Z | 2019-01-21T13:45:39.000Z | from seamless.highlevel import Context, Cell, Transformer
ctx = Context()
ctx.v = lambda a: 42
ctx.v.a = "test"
ctx.v_schema = Cell()
ctx.v_schema.celltype = "plain"
ctx.translate()
ctx.link(ctx.v.schema, ctx.v_schema)
ctx.translate()
ctx.v_schema.set({'type': 'object', 'properties': {'a': {'type': 'integer'}}})
ctx.c... | 28.423077 | 78 | 0.691475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.222598 |
512e099f596e3955243cf492631352af559a94af | 246 | wsgi | Python | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | 3 | 2019-01-16T14:01:20.000Z | 2019-09-29T14:16:26.000Z | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | null | null | null | pastr.wsgi | hossainalhaidari/pastr | 49417cbe6ef64c763cda41ada6d42ef8d643d081 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
from dotenv import load_dotenv
load_dotenv()
sys.path.insert(0, os.getenv('PASTR_PATH', 'App Path'))
from pastr import app as application
application.secret_key = os.getenv('SECRET_KEY', 'Secret Key') | 24.6 | 62 | 0.768293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.276423 |
512ea83053328520e513cb86e1b1a689945a30dc | 1,174 | py | Python | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 4 | 2018-10-11T09:48:39.000Z | 2019-11-12T06:17:17.000Z | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 26 | 2017-11-10T15:46:03.000Z | 2021-08-13T12:02:27.000Z | check_data_integrity/fix/fixer/fixer.py | mpmuc84/helper-scripts | 573353827d94f65efe763a93770ba75bcda90fff | [
"BSD-2-Clause"
] | 21 | 2017-10-12T11:47:37.000Z | 2021-05-05T13:07:59.000Z | from abc import ABCMeta, abstractmethod
class Fixer:
"""
Abstract class defining the methods every subclass has to implement for fixing inconsistent data.
"""
__metaclass__ = ABCMeta
@abstractmethod
def fix(self, opencast_url, digest_login, event_id):
"""
Fix the given event.
... | 26.088889 | 101 | 0.636286 | 1,131 | 0.963373 | 0 | 0 | 955 | 0.813458 | 0 | 0 | 748 | 0.637138 |
5130a25d5ed3634e87ef47dcbe79178f60a2783b | 4,454 | py | Python | Desktop-App/UI-Based App/Result_MLP.py | EddieKaleb/CricAI | 2ce714c7dfe1495b9f579d87490ab40914670f02 | [
"MIT"
] | 9 | 2018-09-25T06:19:52.000Z | 2021-10-06T11:06:01.000Z | Desktop-App/UI-Based App/Result_MLP.py | govind-bisht03/CricAI | fa497197627ec769d9a9be6c9f1ddeab3c826f7e | [
"MIT"
] | 21 | 2017-11-23T19:44:29.000Z | 2020-10-17T11:26:46.000Z | Desktop-App/UI-Based App/Result_MLP.py | govind-bisht03/CricAI | fa497197627ec769d9a9be6c9f1ddeab3c826f7e | [
"MIT"
] | 29 | 2017-12-11T10:24:22.000Z | 2020-10-16T13:04:13.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Result_MLP.ui'
#
# Created by: PyQt5 UI code generator 5.5.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWi... | 44.989899 | 150 | 0.691513 | 3,965 | 0.890211 | 0 | 0 | 0 | 0 | 0 | 0 | 701 | 0.157387 |
51311102d9e729c7834446c830b3c543962cbf40 | 5,283 | py | Python | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | xray/train.py | kibernetika-ai/image_captioning | e0248758d293d7dabc0cfdbed4568de06a20d048 | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import argparse
import os
import shutil
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import tensorflow as tf
from xray import model
slim = tf.contrib.slim
tf.logging.set_verbosity(tf.logging.INFO)
log = tf.logging
def cal... | 33.226415 | 113 | 0.658906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,511 | 0.286012 |
5133c8da0c788e7f385523bfdad1962d8bd3df18 | 280 | py | Python | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | 1 | 2021-08-17T08:14:47.000Z | 2021-08-17T08:14:47.000Z | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | null | null | null | testCreateDb.py | chaya7282/flask-shop-master | 9d1aedd6e39d4cac2b3c5585257415eee2558b71 | [
"BSD-3-Clause"
] | 1 | 2021-08-17T08:14:48.000Z | 2021-08-17T08:14:48.000Z | # -*- coding: utf-8 -*-
"""Click commands."""
from flask_script import Manager
from flaskshop import random_data
import flaskshop
import flaskshop.commands as commands
app= flaskshop.create_app()
manager = Manager(app)
if __name__ == "__main__":
manager.run()
manager.se | 21.538462 | 37 | 0.735714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.192857 |
513455e1e49a2cc7f2af7ad92dbc3662b0e294bf | 761 | py | Python | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null | day-4.py | shadowfool/advent-of-code-2017 | 9f2312c2cef9891c3bdb7c970eccc4eb48f714df | [
"MIT"
] | null | null | null |
input = [line.rstrip() for line in open('./inputs/day4.txt')]
badWords = 0
for line in input:
dictionary = {}
words = line.split(' ')
for word in words:
print(words)
if word in dictionary:
badWords = badWords + 1
break
dictionary[ word ] = 1
print(len(input) - badWords)
# ---- CHAL... | 21.742857 | 82 | 0.599212 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.070959 |
513b7781461e774c4edea5cc00a442a4bd33ae7d | 51 | py | Python | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | gym-voilier-v2-discrete/gym_voilier/envs/__init__.py | pfontana96/smart-sailboat | 25b2a524b2601b3f8e72092d7a34beb849b617db | [
"MIT"
] | null | null | null | from gym_voilier.envs.voilier_env import VoilierEnv | 51 | 51 | 0.901961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
513c933b5d0724d79a4413fb53c8512d831f68a7 | 7,464 | py | Python | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | prd_score_classifier.py | DrLSimon/precision-recall-distributions-icml19 | 364188eaa26ac1bf39ebf038136c79aeee97da3a | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
import torch.optim as optim
from prdataset import *
from torch.utils.data import DataLoader
from torchvision import transforms
import tqdm
from models import *
from inception_torch import InceptionV3
cuda = torch.cuda.is_availab... | 36.950495 | 143 | 0.624732 | 4,161 | 0.557476 | 0 | 0 | 0 | 0 | 0 | 0 | 344 | 0.046088 |
5141a9a0670c91a2b930b40b597fedf7c7054b49 | 8,906 | py | Python | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 6 | 2015-04-05T01:28:23.000Z | 2022-02-06T17:29:47.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-01-05T23:07:10.000Z | 2022-03-30T17:52:45.000Z | lambdaproject/settings/base.py | dragetd/LambdaCast | a8227d8d19a2fdb1ff1d5e8ad7366d60a1e253f7 | [
"BSD-2-Clause"
] | 2 | 2022-02-06T17:29:53.000Z | 2022-02-26T17:23:09.000Z | import os
# Path to your LambdaCast instance (no / behind the path)
try:
from local import ABSOLUTE_PATH
except ImportError:
ABSOLUTE_PATH = os.path.dirname(os.path.abspath(__file__)) + "/../.."
# Domain your instance should use, for example: 'http://example.com' (no / behind the path)
try:
from local imp... | 33.355805 | 126 | 0.717045 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,414 | 0.720189 |
514411ea3d0032d20f78be6935784f8081b90d34 | 2,072 | py | Python | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | 1 | 2020-11-18T19:15:50.000Z | 2020-11-24T02:21:33.000Z | sentiment_classifier/process.py | dang-trung/stocktwits-sentiment-classifier | 5b6a75abce3a6b701da81f616a0e5b63e9c0dba6 | [
"MIT"
] | null | null | null | """Text Pre-processing.
This module process text messages based on Chen et al. (2019).
Added some steps (such as escaping HTML symbols, or having a more detailed list
of stop and negative words).
"""
import html
import re
import string
import pandas as pd
# Repeated chars more than 3 times
repeat_regex = r'(\w)\1{2... | 29.183099 | 79 | 0.642857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,071 | 0.515896 |
514491bebe24982f7e39bca4c4425c0e236edb60 | 2,062 | py | Python | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 6 | 2015-08-21T08:43:25.000Z | 2021-12-29T16:16:59.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2019-03-25T10:16:18.000Z | 2022-01-11T19:14:01.000Z | fredo/editor/brush_dialog.py | yasiupl/FreDo | 73bdc380dd82df171fe63998f0affa092e30759a | [
"BSD-3-Clause"
] | 2 | 2020-10-29T06:15:03.000Z | 2021-12-29T16:42:28.000Z | from PySide.QtGui import QDialog
from ..gui.brush_dialog import Ui_BrushDialog
from PySide.QtGui import QPixmap
from PySide.QtCore import Qt
from ..brushes import SquareBrush
import math
class BrushDialog(QDialog):
def __init__(self, parent=None, brush=None):
super(BrushDialog, self).__init__(parent)
... | 34.366667 | 79 | 0.679922 | 1,872 | 0.907856 | 0 | 0 | 0 | 0 | 0 | 0 | 170 | 0.082444 |
5144c4d72df0f27c405d9c186efa2f5400ee41ce | 332 | py | Python | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | Tarea1b_SpaceWars/hitmarker.py | salistito/Computer-Graphics | f56b453609bbe8496f504f438770fde992af68fe | [
"MIT"
] | null | null | null | """
Sebastián Salinas, CC3501, 6/05/20
Tarea1b
"""
# Importamos algunos modulos
import math
# Función para evaluar la colisión entre 2 objetos
def hitmarker(x1,y1,x2,y2):
distancia = math.sqrt((x1-x2)**2 + (y1-y2)**2) # Ecuación de la distancia
if distancia < 0.075: #0.075
return True
else:
... | 25.538462 | 77 | 0.665663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.488095 |
51457008bd685f3f5dea47108bc2573ac5535321 | 1,510 | py | Python | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | src/lib/osta.py | anroots/osta-exporter | 14b05bb905b9df59f9e62e72b33c64a890eb973b | [
"Apache-2.0"
] | null | null | null | from json import JSONDecodeError
import requests
import sys
class Osta:
def __init__(self, logger, api_url):
self.api_url = api_url
self.logger = logger
def get_user_items(self, user_id):
self.logger.debug('Starting collection of osta.ee meters')
query_params = {
... | 32.826087 | 141 | 0.609272 | 1,446 | 0.957616 | 0 | 0 | 292 | 0.193377 | 0 | 0 | 400 | 0.264901 |
5146d58c84bb7104d16ee9a9d1a76b8231e89082 | 224 | py | Python | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | nyaggle/experiment/__init__.py | harupy/nyaggle | 132a93079e364d60b5598de77ab636a603ec06a4 | [
"MIT"
] | null | null | null | from nyaggle.experiment.experiment import Experiment, add_leaderboard_score
from nyaggle.experiment.averaging import average_results
from nyaggle.experiment.run import autoprep_gbdt, run_experiment, find_best_lgbm_parameter
| 56 | 90 | 0.892857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5146da738f04b9b9d8f97c34d071f17da9198bde | 794 | py | Python | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 1,128 | 2019-09-11T01:38:09.000Z | 2022-03-31T17:06:56.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 45 | 2019-09-11T05:39:53.000Z | 2021-12-05T17:52:07.000Z | configs/fdf/deep_privacy_v1.py | skoskjei/DP-ATT | eb7380099f5c7e533fd0d247456b4a418529d62b | [
"MIT"
] | 185 | 2019-09-11T02:15:56.000Z | 2022-03-23T16:12:41.000Z |
_base_config_ = "base.py"
model_size = 512
model_url = "http://folk.ntnu.no/haakohu/checkpoints/step_42000000.ckpt"
models = dict(
scalar_pose_input=False,
max_imsize=128,
conv_size={
4: model_size,
8: model_size,
16: model_size,
32: model_size,
64: model_size//2,... | 18.465116 | 72 | 0.540302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.105793 |
514737538b6050cbe92637918e942f1823b10292 | 1,699 | py | Python | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 3 | 2019-07-09T08:51:20.000Z | 2019-09-16T17:27:54.000Z | server/weather/RestWeatherProvider.py | thomasw-mitutoyo-ctl/BIS | 08525cc12164902dfe968ae41beb6de0cd5bc411 | [
"MIT"
] | 24 | 2019-06-17T12:33:35.000Z | 2020-03-27T08:17:35.000Z | server/weather/RestWeatherProvider.py | EveryOtherUsernameWasAlreadyTaken/BIS | e132ce42dcc74e634231398dfecb08834d478cba | [
"MIT"
] | 1 | 2020-03-24T17:54:07.000Z | 2020-03-24T17:54:07.000Z | import json
import logging
import threading
from BaseHTTPServer import BaseHTTPRequestHandler, HTTPServer
log = logging.getLogger(__name__)
class RestWeatherProvider(threading.Thread):
"""
The RestWeatherProvider serves the collected weather data using a simple http server. The weather data can be
obtai... | 30.339286 | 114 | 0.669806 | 1,552 | 0.913479 | 0 | 0 | 0 | 0 | 0 | 0 | 525 | 0.309005 |
5147aa629fe9091066db83d5ac4d5067803255bc | 359 | py | Python | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null | src/dev.py | Inigoperez/Proyecto_Interfaces | 4a2b98cd499fabf3789301e9eb488297bebfcf2a | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
from dotenv import load_dotenv
load_dotenv()
from config import StageConfig
from util import route
from util.commands import commands
else:
from .config import StageConfig
from .util import route
from .util.commands import commands
app = route(config=StageCo... | 22.4375 | 46 | 0.732591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.027855 |
51493c53717606761bb6b13240fa86406df2fac3 | 985 | py | Python | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | cms/tests.py | royaleagle-dev/djangoblog | 624a17972772d54fc44d5a480fe42011c9b272fa | [
"Apache-2.0"
] | null | null | null | from django.test import TestCase
from . models import Post, Tag, Category
def createCategory(title):
return Category.objects.create(title = title)
def createTag(name):
return Tag.objects.create(name = name)
def createPost(title, body, author, postState):
tag = Tag.objects.create(name = 'NewT')
post = Post.object... | 29.848485 | 119 | 0.73401 | 523 | 0.530964 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.101523 |
514976db1636eff4f1c2e435911894cc18620e2c | 1,531 | py | Python | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | 1 | 2019-03-17T11:26:36.000Z | 2019-03-17T11:26:36.000Z | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | test/test_solver.py | akiFQC/pyqubo | 6a8033365562756328577eda42e255853e760488 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Recruit Communications Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 36.452381 | 98 | 0.665578 | 817 | 0.533638 | 0 | 0 | 181 | 0.118223 | 0 | 0 | 653 | 0.426519 |
514a79000a503d03dd773bda6a965fb3b20a7db7 | 737 | py | Python | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | solution/viz/clean_words.py | GabrielMissael/solution | aff33732d04efedb60c1ebc70fd5108ae5cc558e | [
"MIT"
] | null | null | null | import re
import unicodedata
import nltk
from nltk.corpus import stopwords
import pandas as pd
def clean_words(text_DataFrame:pd.DataFrame):
"""
A simple function to clean up the data. All the words that
are not designated as a stop word is then lemmatized after
encoding and basic regex parsing are per... | 33.5 | 75 | 0.683853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 254 | 0.34464 |
514a92812de5f63e1e53a1ba432f40d277ebdbba | 780 | py | Python | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | imagemodel/common/predictor.py | tenkeyless/imagemodel | 360c672117b5ccb1bfb3d6771b0720fa1a1f513c | [
"MIT"
] | null | null | null | from typing import Optional
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.python.distribute.tpu_strategy import TPUStrategy
class Predictor:
def __init__(
self,
model: Model,
predict_dataset: tf.data.Dataset,
predict_dataset_desc... | 32.5 | 75 | 0.694872 | 616 | 0.789744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
514b2ccf532fafc08943123f355c409988b89713 | 6,778 | py | Python | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | reporter.py | Danielto1404/ssat-msp-make-transfer | 36731ab79ba517d6c66516054ebd6179674a953e | [
"MIT"
] | null | null | null | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 43.729032 | 121 | 0.627176 | 5,900 | 0.870463 | 0 | 0 | 0 | 0 | 0 | 0 | 1,621 | 0.239156 |
514d5df2cbf6b921babea277704186e66c61af98 | 3,700 | py | Python | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | '''
Dijkstra's algorithm for weighted undirected graph
'''
from collections import deque
class Dijkstra:
def __init__(self, graph):
self.vertex_visited = list()
self.distance = {}
self.graph = graph
self.source = None
self.queue_size = 0
self.min_queue = deque()
... | 33.333333 | 104 | 0.526216 | 3,121 | 0.843514 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.152162 |
514d67f48ef86730369a1f20030702bb95bc30ac | 33,053 | py | Python | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | 2 | 2021-11-13T14:16:06.000Z | 2022-01-12T06:07:32.000Z | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | null | null | null | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | 3 | 2021-08-30T04:40:39.000Z | 2022-01-09T11:34:04.000Z | #-*- coding: UTF-8 -*-
import sys,os
pwd = os.path.abspath(os.path.abspath(__file__))
father_path = os.path.abspath(os.path.dirname(pwd) + os.path.sep + "..")
sys.path.append(father_path)
import tensorflow as tf
from tensorflow import keras
import numpy as np
import os
from typing import Tuple
import random
from Networ... | 55.365159 | 184 | 0.587571 | 14,722 | 0.445029 | 0 | 0 | 0 | 0 | 0 | 0 | 3,391 | 0.102506 |
514d779997818ca67945865e73aa82b847c739ae | 3,302 | py | Python | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 12 | 2018-06-28T13:40:53.000Z | 2022-01-07T12:46:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 6 | 2019-04-29T16:55:38.000Z | 2022-03-04T17:00:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 5 | 2019-04-21T15:42:55.000Z | 2021-08-16T10:53:30.000Z | #<hide>
"""
filtergraph:
Streaming part | Decoding part
|
(LiveThread:livethread) -->> (AVThread:avthread) --> {InfoFrameFilter:info_filter}
"""
#</hide>
#<hide>
import time
from valkka.core import *
#</hide>
"""<rtf>
Let's consider the following filtergraph:
::
Streami... | 31.447619 | 214 | 0.657783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,772 | 0.839491 |
514e969fdf154b0e8e5327483cdde2b37efd808d | 44,964 | py | Python | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 3 | 2015-08-02T09:03:28.000Z | 2017-12-06T09:26:14.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 5 | 2015-08-17T01:16:35.000Z | 2015-09-16T21:51:27.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 6 | 2015-05-17T15:32:20.000Z | 2020-04-22T08:43:16.000Z | # -*- coding: utf-8 -ü-
import os
import re
import types
try:
from zopyx.txng3.ext import stemmer as Stemmer
except ImportError:
Stemmer = None
from cheshire3.baseObjects import Normalizer
from cheshire3.exceptions import (
ConfigFileException,
MissingDependencyException
)
class SimpleNormalizer(No... | 33.134856 | 79 | 0.455231 | 44,408 | 0.987591 | 0 | 0 | 0 | 0 | 0 | 0 | 17,653 | 0.392586 |
514e96ff8378de7f403d3d5b87b39b9cacaa544f | 1,976 | py | Python | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | import unittest
from flask.ext.testing import TestCase
from project import app, db
from project.models import User, BlogPost
from base import BaseTestCase
class FlaskTestCase(BaseTestCase):
# def setUp(self):
# self.tester = app.test_client(self)
# self.good_cred = dict(username='admin', password=... | 37.283019 | 96 | 0.671053 | 1,771 | 0.896255 | 0 | 0 | 0 | 0 | 0 | 0 | 379 | 0.191802 |
514fd7037382f0059f2a8f6642dd4dde72119752 | 1,024 | py | Python | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | 6 | 2021-11-23T19:52:55.000Z | 2022-03-30T13:45:05.000Z | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | null | null | null | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | 1 | 2021-11-23T10:14:54.000Z | 2021-11-23T10:14:54.000Z | from django.views.generic import View
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from accounts.forms import SignInForm
class SignInView(View):
""" User registration view """
template_name = 'accounts/signin.html'
form_class = SignInForm
def get(... | 32 | 63 | 0.621094 | 847 | 0.827148 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.104492 |
5150d680a6e92b183496e1677c8274249125d1ee | 3,794 | py | Python | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | # MagellanMapper logging
"""Logging utilities."""
import logging
from logging import handlers
import pathlib
class LogWriter:
"""File-like object to write standard output to logging functions.
Attributes:
fn_logging (func): Logging function
buffer (list[str]): String buffer.
"""... | 29.874016 | 77 | 0.624671 | 964 | 0.254085 | 0 | 0 | 0 | 0 | 0 | 0 | 2,054 | 0.541381 |
5151eb6104a2efda27edf90bc5d40eacc7c63499 | 3,322 | py | Python | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Created : 2021/10/28 17:12
# @Author : Junhyung Kwon
# @Site :
# @File : har_train.py
# @Software : PyCharm
import os
import torch
import torch.nn.functional as F
from torch import nn, optim
from torch.optim.lr_scheduler import MultiStepLR
from tqdm.au... | 30.477064 | 118 | 0.621915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 355 | 0.106863 |
51523224ed1784558c61cf16ca3f354c9e20fd86 | 1,741 | py | Python | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
from functools import wraps
from lines import getNumLines
assertion = 0
exception = 0
passed = 0
def Test(function):
@wraps(function)
def wrapper(*args, **kwargs):
global assertion
global exception
global passed
try:
... | 24.521127 | 92 | 0.570936 | 0 | 0 | 0 | 0 | 1,415 | 0.812751 | 0 | 0 | 93 | 0.053418 |
515285c60dcab2bc55d78dce23f2882c85fc837c | 279 | py | Python | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | 5 | 2015-11-15T19:08:31.000Z | 2015-11-27T02:34:28.000Z | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | my_name = 'Andre Christoga'
my_age = 11 # Really, this is my age
# my_height = 150 # Centimeter
# my_weight = 32 # Kilogram
# my_eyes = "Brown"
# my_teeth = "White"
print "Oh, Hello there."
print "My name is " + my_name
print "My age is 11"
print "I know, too young to code?"
| 23.25 | 36 | 0.670251 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.752688 |
5153b4798f2410a6aa6709c5a6328570a85d91d6 | 3,052 | py | Python | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 2 | 2021-07-02T20:10:48.000Z | 2021-07-13T20:51:18.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-24T13:27:21.000Z | 2021-07-30T15:37:43.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-23T19:53:20.000Z | 2022-01-04T17:50:44.000Z | from lime_python import Command
from ...extension_base import ExtensionBase
from .content_type import ContentType
from .uri_templates import UriTemplates
class AIModelExtension(ExtensionBase):
"""Extension to handle Blip Analytics Services."""
async def get_models_async(
self,
skip: int = 0,
... | 27.495495 | 79 | 0.564548 | 2,895 | 0.948558 | 0 | 0 | 0 | 0 | 2,766 | 0.906291 | 1,045 | 0.342398 |
5155a6295dbb373ee9af2abbcd7551a82f2a7146 | 1,683 | py | Python | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | """
DataJunction (DJ) is a metric repository.
Usage:
dj compile [REPOSITORY] [-f] [--loglevel=INFO] [--reload]
Actions:
compile Compile repository
Options:
-f, --force Force indexing. [default: false]
--loglevel=LEVEL Level for logging. [default: INFO]
--relo... | 23.054795 | 63 | 0.608437 | 0 | 0 | 0 | 0 | 0 | 0 | 710 | 0.421866 | 619 | 0.367796 |
5156148de28f4156b72965f292cfcca3cbc248dc | 3,617 | py | Python | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | import os
from ai import model, process, vectorizer
from youtube import comment, getid, video
from linebot import LineBotApi, WebhookHandler
from linebot.exceptions import InvalidSignatureError
from linebot.models import MessageEvent, TextMessage, TextSendMessage
SECRET = os.environ['SECRET']
TOKEN = os.environ['TOK... | 31.72807 | 170 | 0.592756 | 0 | 0 | 0 | 0 | 3,433 | 0.868894 | 0 | 0 | 802 | 0.202987 |
5159402d19245aba61bb579f188067d4ee6bc977 | 274 | py | Python | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | 1 | 2021-06-07T05:15:22.000Z | 2021-06-07T05:15:22.000Z | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | 2 | 2021-08-10T12:45:37.000Z | 2021-08-10T12:49:51.000Z | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | null | null | null | from backpack.core.derivatives.dropout import DropoutDerivatives
from vivit.extensions.secondorder.sqrt_ggn.sqrt_ggn_base import SqrtGGNBaseModule
class SqrtGGNDropout(SqrtGGNBaseModule):
def __init__(self):
super().__init__(derivatives=DropoutDerivatives())
| 30.444444 | 81 | 0.821168 | 123 | 0.448905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5159b6cde26f7df203594b171f65dbf811705a8e | 1,286 | py | Python | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 4 | 2015-03-30T22:46:35.000Z | 2020-09-08T02:03:53.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 21 | 2015-02-03T23:12:36.000Z | 2017-09-15T21:03:24.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 2 | 2016-08-14T20:18:52.000Z | 2019-09-30T16:02:22.000Z | import sys
import collections
import tornado
class Registry(object):
def __init__(self, max_entries=10000, ioloop=None):
self.models = collections.OrderedDict()
self.timeouts = {}
self.ioloop = ioloop or tornado.ioloop.IOLoop.current()
self.max_entries = max_entries
def regis... | 28.577778 | 75 | 0.618974 | 1,057 | 0.821928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
515bc2e00165e4793cb2c05d11188ceed1d51545 | 1,672 | py | Python | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 3 | 2020-11-04T19:34:47.000Z | 2021-06-30T04:13:55.000Z | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | null | null | null | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 1 | 2021-01-31T19:30:59.000Z | 2021-01-31T19:30:59.000Z | # -*- coding: utf-8 -*-
from rest_framework import permissions
from account.models import BlackList
class BlacklistPermission(permissions.BasePermission):
"""
Global permission check for blacklisted IPs.
"""
def has_permission(self, request, view):
ip_address = request.META["REMOTE_ADDR"]
... | 35.574468 | 78 | 0.641746 | 1,566 | 0.936603 | 0 | 0 | 0 | 0 | 0 | 0 | 371 | 0.22189 |
515c32b2748b2c0d803dfa8b97d5d1d27008566b | 1,498 | py | Python | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | from helpers import Helpers
import numpy as np
def multiples(numbers: [int]) -> [int]:
"""
Multiplies all of the values in the list excepting the value at the current index
e.g. original numbers = [4, 1, 6] returns the multiples = [6, 24, 4] where the
first value is the product of 1 * 6 and does not i... | 31.208333 | 85 | 0.695594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 501 | 0.334446 |