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deca8e26bb6a2a9ae53903a22809984f7a74b454 | 26,490 | py | Python | project.py | PetruSicoe/Python101-GameProject | 82121a8e110ee484acdf85843725882d60957b25 | [
"CC-BY-4.0"
] | null | null | null | project.py | PetruSicoe/Python101-GameProject | 82121a8e110ee484acdf85843725882d60957b25 | [
"CC-BY-4.0"
] | null | null | null | project.py | PetruSicoe/Python101-GameProject | 82121a8e110ee484acdf85843725882d60957b25 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
from random import randrange
import random
import pygame, sys
from pygame.locals import *
import string
pygame.font.init()
MENU_WIDTH = 1000
MENU_HEIGHT = 1000
GUESS_WIDTH = 1000
GUESS_HEIGHT = 650
HANGMAN_WIDTH = 1300
HANGMAN_HEIGHT = 720
BLACK = (0,0,0)
WHITE = (25... | 40.197269 | 177 | 0.555795 | 25,848 | 0.975764 | 0 | 0 | 0 | 0 | 0 | 0 | 2,007 | 0.075764 |
decaa14b52fa5524baf2d5d190931296e44de823 | 2,018 | py | Python | Modules/CrossMapLRN.py | EmilPi/PuzzleLib | 31aa0fab3b5e9472b9b9871ca52e4d94ea683fa9 | [
"Apache-2.0"
] | 52 | 2020-02-28T20:40:15.000Z | 2021-08-25T05:35:17.000Z | Modules/CrossMapLRN.py | EmilPi/PuzzleLib | 31aa0fab3b5e9472b9b9871ca52e4d94ea683fa9 | [
"Apache-2.0"
] | 2 | 2021-02-14T15:57:03.000Z | 2021-10-05T12:21:34.000Z | Modules/CrossMapLRN.py | EmilPi/PuzzleLib | 31aa0fab3b5e9472b9b9871ca52e4d94ea683fa9 | [
"Apache-2.0"
] | 8 | 2020-02-28T20:40:11.000Z | 2020-07-09T13:27:23.000Z | import numpy as np
from PuzzleLib.Backend import gpuarray
from PuzzleLib.Backend.Dnn import crossMapLRN, crossMapLRNBackward
from PuzzleLib.Modules.LRN import LRN
class CrossMapLRN(LRN):
def __init__(self, N=5, alpha=1e-4, beta=0.75, K=2.0, name=None):
super().__init__(N, alpha, beta, K, name)
self.gradUsesOut... | 32.031746 | 101 | 0.700198 | 505 | 0.250248 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.004955 |
decc19f50e9a41be1bc95cb6e0bf5f4f77162b78 | 4,802 | py | Python | src/metrics.py | enryH/specpride | 1bedd87dc8f31a6b86426c6e03dc0c27706bc9aa | [
"Apache-2.0"
] | 2 | 2020-01-14T12:02:52.000Z | 2020-01-14T14:03:30.000Z | src/metrics.py | enryH/specpride | 1bedd87dc8f31a6b86426c6e03dc0c27706bc9aa | [
"Apache-2.0"
] | 5 | 2019-12-09T10:59:10.000Z | 2020-01-16T14:32:00.000Z | src/metrics.py | enryH/specpride | 1bedd87dc8f31a6b86426c6e03dc0c27706bc9aa | [
"Apache-2.0"
] | 9 | 2020-01-14T12:26:54.000Z | 2020-01-16T08:26:06.000Z | import copy
from typing import Iterable
import numba as nb
import numpy as np
import spectrum_utils.spectrum as sus
def dot(spectrum1: sus.MsmsSpectrum, spectrum2: sus.MsmsSpectrum,
fragment_mz_tolerance: float) -> float:
"""
Compute the dot product between the given spectra.
Parameters
----... | 31.592105 | 79 | 0.660975 | 0 | 0 | 0 | 0 | 1,760 | 0.366514 | 0 | 0 | 2,598 | 0.541025 |
deccbee42c5be781692fc226272ac89e27a4e7a6 | 797 | py | Python | examples/multi-class_neural_network.py | sun1638650145/classicML | 7e0c2155bccb6e491a150ee689d3786526b74565 | [
"Apache-2.0"
] | 12 | 2020-05-10T12:11:06.000Z | 2021-10-31T13:23:55.000Z | examples/multi-class_neural_network.py | sun1638650145/classicML | 7e0c2155bccb6e491a150ee689d3786526b74565 | [
"Apache-2.0"
] | null | null | null | examples/multi-class_neural_network.py | sun1638650145/classicML | 7e0c2155bccb6e491a150ee689d3786526b74565 | [
"Apache-2.0"
] | 2 | 2021-01-17T06:22:05.000Z | 2021-01-18T14:32:51.000Z | """
这个例子将展示如何使用BP神经网络构建多分类的神经网络.
"""
import sys
import classicML as cml
DATASET_PATH = './datasets/iris_dataset.csv'
CALLBACKS = [cml.callbacks.History(loss_name='categorical_crossentropy',
metric_name='accuracy')]
# 读取数据
ds = cml.data.Dataset(label_mode='one-hot',
... | 28.464286 | 72 | 0.644918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 378 | 0.4017 |
decdd56ee9283490fb231ea62e1de89aa2fa1fee | 2,596 | py | Python | pool/serializer/PoolSerializer.py | salran40/POAP | 9ff2ab68b55aeffe104d127c4beb8b1372b2c8de | [
"Apache-2.0"
] | null | null | null | pool/serializer/PoolSerializer.py | salran40/POAP | 9ff2ab68b55aeffe104d127c4beb8b1372b2c8de | [
"Apache-2.0"
] | null | null | null | pool/serializer/PoolSerializer.py | salran40/POAP | 9ff2ab68b55aeffe104d127c4beb8b1372b2c8de | [
"Apache-2.0"
] | null | null | null | __author__ = "arunrajms"
from rest_framework import serializers
from pool.models import Pool
from rest_framework.validators import UniqueValidator
import re
TYPE_CHOICES = ['Integer','IP','IPv6','AutoGenerate','Vlan','MgmtIP']
PUT_TYPE_CHOICES = ['Integer','IP','IPv6','Vlan','MgmtIP']
SCOPE_CHOICES = ['global','fabri... | 36.56338 | 91 | 0.724961 | 2,225 | 0.857088 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.162173 |
dece77460bb0515a4dff433a0f6f8e80d7adc76c | 3,735 | py | Python | yiffscraper/downloader.py | ScraperT/yiffscraper | 49482a544fc7f11e6ea5db2626dbc2404529d656 | [
"MIT"
] | 42 | 2019-12-23T23:55:12.000Z | 2022-02-07T04:12:59.000Z | yiffscraper/downloader.py | arin17bishwa/yiffscraper | 49482a544fc7f11e6ea5db2626dbc2404529d656 | [
"MIT"
] | 7 | 2020-01-12T13:04:56.000Z | 2020-05-18T07:11:51.000Z | yiffscraper/downloader.py | arin17bishwa/yiffscraper | 49482a544fc7f11e6ea5db2626dbc2404529d656 | [
"MIT"
] | 7 | 2020-03-12T03:47:53.000Z | 2020-07-26T08:05:55.000Z | import os
import platform
from datetime import datetime
import time
from pathlib import Path
import asyncio
from dateutil.parser import parse as parsedate
from dateutil import tz
import aiohttp
def longpath(p):
if p is None or platform.system() != "Windows":
return Path(p)
return Path("\\\\?\\" + str... | 31.923077 | 122 | 0.626774 | 2,735 | 0.732262 | 537 | 0.143775 | 1,191 | 0.318876 | 2,081 | 0.557162 | 296 | 0.07925 |
decfc0841b9274cca97b69d13faf37aa2232005f | 58 | py | Python | tests/cases/print.py | wisn/py2many | e33871a3e54971407319e9df28dcadcdc3a49140 | [
"MIT"
] | 1 | 2021-05-14T00:35:04.000Z | 2021-05-14T00:35:04.000Z | tests/cases/print.py | wisn/py2many | e33871a3e54971407319e9df28dcadcdc3a49140 | [
"MIT"
] | null | null | null | tests/cases/print.py | wisn/py2many | e33871a3e54971407319e9df28dcadcdc3a49140 | [
"MIT"
] | null | null | null | def main():
print(2)
print("b")
print(2, "b")
| 11.6 | 17 | 0.448276 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.103448 |
ded08df80894e1241c99188254ecd7f7c259352b | 380 | py | Python | linked_lists/find_loop.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | linked_lists/find_loop.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | linked_lists/find_loop.py | maanavshah/coding-interview | 4c842cdbc6870da79684635f379966d1caec2162 | [
"MIT"
] | null | null | null | # O(n) time | O(1) space
class LinkedList:
def __init__(self, value):
self.value = value
self.next = None
def findLoop(head):
slow = head.next
fast = head.next.next
while fast != slow:
slow = slow.next
fast = fast.next.next
fast = head
while fast != slow:
... | 20 | 30 | 0.560526 | 100 | 0.263158 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.063158 |
ded4491d8cef57cccb094e0f83641638968be15a | 3,066 | py | Python | src/tests/attention_test.py | feperessim/attention_keras | 322a16ee147122026b63305aaa5e899d9e5de883 | [
"MIT"
] | 422 | 2019-03-17T13:08:59.000Z | 2022-03-31T12:08:29.000Z | src/tests/attention_test.py | JKhodadadi/attention_keras | 322a16ee147122026b63305aaa5e899d9e5de883 | [
"MIT"
] | 51 | 2019-03-17T20:08:11.000Z | 2022-03-18T03:51:42.000Z | src/tests/attention_test.py | JKhodadadi/attention_keras | 322a16ee147122026b63305aaa5e899d9e5de883 | [
"MIT"
] | 285 | 2019-03-17T19:06:22.000Z | 2022-03-31T02:29:17.000Z | import pytest
from layers.attention import AttentionLayer
from tensorflow.keras.layers import Input, GRU, Dense, Concatenate, TimeDistributed
from tensorflow.keras.models import Model
import tensorflow as tf
def test_attention_layer_standalone_fixed_b_fixed_t():
"""
Tests fixed batch size and time steps
E... | 37.390244 | 101 | 0.7182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,513 | 0.493477 |
ded5e7681d684ad45f836b0b523b89035ed45f16 | 1,572 | py | Python | Python/9248_Suffix_Array/9248_suffix_array_lcp_array.py | ire4564/Baekjoon_Solutions | 3e6689efa30d6b850cdc29570c76408a1e1b2b49 | [
"Apache-2.0"
] | 4 | 2020-11-17T09:52:29.000Z | 2020-12-13T11:36:14.000Z | Python/9248_Suffix_Array/9248_suffix_array_lcp_array.py | ire4564/Baekjoon_Solutions | 3e6689efa30d6b850cdc29570c76408a1e1b2b49 | [
"Apache-2.0"
] | 2 | 2020-11-19T11:21:02.000Z | 2020-11-19T22:07:15.000Z | Python/9248_Suffix_Array/9248_suffix_array_lcp_array.py | ire4564/Baekjoon_Solutions | 3e6689efa30d6b850cdc29570c76408a1e1b2b49 | [
"Apache-2.0"
] | 12 | 2020-11-17T06:55:13.000Z | 2021-05-16T14:39:37.000Z | from itertools import zip_longest, islice
def to_int_keys_best(l):
seen = set()
ls = []
for e in l:
if not e in seen:
ls.append(e)
seen.add(e)
ls.sort()
index = {v: i for i, v in enumerate(ls)}
return [index[v] for v in l]
def suffix_array_best(... | 20.684211 | 64 | 0.448473 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.012087 |
ded667020b68f181edc8b21f22dbb71557c2c7cc | 1,329 | py | Python | lgr/tools/compare/utils.py | ron813c/lgr-core | 68ba730bf7f9e61cb97c9c08f61bc58b8ea24e7b | [
"BSD-3-Clause"
] | 7 | 2017-07-10T22:39:52.000Z | 2021-06-25T20:19:28.000Z | lgr/tools/compare/utils.py | ron813c/lgr-core | 68ba730bf7f9e61cb97c9c08f61bc58b8ea24e7b | [
"BSD-3-Clause"
] | 13 | 2016-10-26T19:42:00.000Z | 2021-12-13T19:43:42.000Z | lgr/tools/compare/utils.py | ron813c/lgr-core | 68ba730bf7f9e61cb97c9c08f61bc58b8ea24e7b | [
"BSD-3-Clause"
] | 8 | 2016-11-07T15:40:27.000Z | 2020-09-22T13:48:52.000Z | # -*- coding: utf-8 -*-
"""
utils.py - Definition of utility functions.
"""
from collections import namedtuple
from lgr.utils import format_cp
VariantProperties = namedtuple('VariantProperties', ['cp', 'type',
'when', 'not_when',
... | 24.611111 | 77 | 0.574116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 764 | 0.574868 |
ded78378f0da72d7d6e0a021bbb1b4a6004db8f0 | 2,386 | py | Python | tests/test__file_object.py | StateArchivesOfNorthCarolina/tomes_metadata | 8b73096c1b16e0db2895a6c01d4fc4fd9621cf55 | [
"MIT"
] | null | null | null | tests/test__file_object.py | StateArchivesOfNorthCarolina/tomes_metadata | 8b73096c1b16e0db2895a6c01d4fc4fd9621cf55 | [
"MIT"
] | 2 | 2018-09-12T20:36:22.000Z | 2018-09-13T20:14:50.000Z | tests/test__file_object.py | StateArchivesOfNorthCarolina/tomes-packager | 8b73096c1b16e0db2895a6c01d4fc4fd9621cf55 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# import modules.
import sys; sys.path.append("..")
import hashlib
import json
import logging
import os
import plac
import unittest
import warnings
from tomes_packager.lib.directory_object import *
from tomes_packager.lib.file_object import *
# enable logging.
logging.basicConfig(level=logging.... | 27.744186 | 84 | 0.642079 | 1,267 | 0.531014 | 0 | 0 | 0 | 0 | 0 | 0 | 712 | 0.298407 |
ded98a6b09e99064104171c0327f9f5f8f68c1fa | 244 | py | Python | tests/test_helpers.py | c137digital/unv_web | 52bea090c630b4e2a393c70907d35c9558d259fa | [
"MIT"
] | null | null | null | tests/test_helpers.py | c137digital/unv_web | 52bea090c630b4e2a393c70907d35c9558d259fa | [
"MIT"
] | null | null | null | tests/test_helpers.py | c137digital/unv_web | 52bea090c630b4e2a393c70907d35c9558d259fa | [
"MIT"
] | null | null | null | from unv.web.helpers import url_with_domain, url_for_static
def test_url_with_domain():
assert url_with_domain('/path') == 'https://app.local/path'
def test_simple_static_url():
assert url_for_static('asd.txt') == '/static/asd.txt'
| 24.4 | 63 | 0.737705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.233607 |
deda4206dc73f8dbe4b33d7d756e79510962b4d8 | 10,829 | py | Python | game.py | IliketoTranslate/Pickaxe-clicker | e74ebd66842bd47c4ed1c4460e9f45e30a2ad1d7 | [
"MIT"
] | null | null | null | game.py | IliketoTranslate/Pickaxe-clicker | e74ebd66842bd47c4ed1c4460e9f45e30a2ad1d7 | [
"MIT"
] | null | null | null | game.py | IliketoTranslate/Pickaxe-clicker | e74ebd66842bd47c4ed1c4460e9f45e30a2ad1d7 | [
"MIT"
] | null | null | null | import pygame
icon = pygame.image.load("diamond_pickaxe.png")
screen_weight = 1750
screen_height = 980
pygame.init()
window = pygame.display.set_mode((screen_weight, screen_height))
pygame.display.set_caption('Pickaxe clicker')
pygame.display.set_icon(icon)
# zmienne
wytrzymałość_kilofa = 50
max_wytrzymałość_kilof... | 49.447489 | 296 | 0.576138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,020 | 0.18527 |
dedba85b4c2428f8778fd3f7f0d4d19fee14a759 | 4,383 | py | Python | tests/test_predictor.py | WeijieChen2017/pytorch-3dunet | 15c782481cb7bc3e2083a80bcc8b114cc8697c20 | [
"MIT"
] | 1 | 2021-08-04T04:03:37.000Z | 2021-08-04T04:03:37.000Z | tests/test_predictor.py | LalithShiyam/pytorch-3dunet | f6b6c13cb0bb6194e95976b0245b76aaa9e9a496 | [
"MIT"
] | null | null | null | tests/test_predictor.py | LalithShiyam/pytorch-3dunet | f6b6c13cb0bb6194e95976b0245b76aaa9e9a496 | [
"MIT"
] | 1 | 2022-03-14T04:43:24.000Z | 2022-03-14T04:43:24.000Z | import os
from tempfile import NamedTemporaryFile
import h5py
import numpy as np
import torch
from skimage.metrics import adapted_rand_error
from torch.utils.data import DataLoader
from pytorch3dunet.datasets.hdf5 import StandardHDF5Dataset
from pytorch3dunet.datasets.utils import prediction_collate, get_test_loaders... | 35.346774 | 114 | 0.62423 | 3,823 | 0.872234 | 0 | 0 | 0 | 0 | 0 | 0 | 524 | 0.119553 |
dedbd6180bc5f6b44a69dd4d23b7983f144a3239 | 2,560 | py | Python | catalog/views.py | DigimundoTesca/Tv-Mundo | 09904759d1f4f9bf2d5c7c31b97af82c3c963bfd | [
"MIT"
] | null | null | null | catalog/views.py | DigimundoTesca/Tv-Mundo | 09904759d1f4f9bf2d5c7c31b97af82c3c963bfd | [
"MIT"
] | 6 | 2017-09-19T07:26:14.000Z | 2017-09-27T10:06:49.000Z | catalog/views.py | DigimundoTesca/Tv-Mundo | 09904759d1f4f9bf2d5c7c31b97af82c3c963bfd | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.contrib.auth.decorators import login_required
from catalog.models import Videos, Category, Docs, Subscriber
from django.contrib.auth.decorators import login_required
@login_required
def home(request):
template = 'home.html'
category = Category.... | 24.380952 | 76 | 0.622656 | 0 | 0 | 0 | 0 | 2,311 | 0.902734 | 0 | 0 | 279 | 0.108984 |
dedc38f09d494832d839db3e999852609e6a45ac | 519 | py | Python | python/database/get_twitter_predict_by_order.py | visdata/DeepClue | 8d80ecd783919c97ba225db67664a0dfe5f3fb37 | [
"Apache-2.0"
] | 1 | 2020-12-06T08:04:32.000Z | 2020-12-06T08:04:32.000Z | python/database/get_twitter_predict_by_order.py | visdata/DeepClue | 8d80ecd783919c97ba225db67664a0dfe5f3fb37 | [
"Apache-2.0"
] | null | null | null | python/database/get_twitter_predict_by_order.py | visdata/DeepClue | 8d80ecd783919c97ba225db67664a0dfe5f3fb37 | [
"Apache-2.0"
] | null | null | null | import MySQLdb
db = MySQLdb.connect('localhost', 'root', 'vis_2014', 'FinanceVis')
cursor = db.cursor()
sql = 'select predict_news_word from all_twitter where symbol=%s order by predict_news_word+0 desc'
cursor.execute(sql, ('AAPL', ))
results = cursor.fetchall()
file_twitter_predict = open('twitter_predict_AAPL.csv... | 25.95 | 99 | 0.714836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 178 | 0.342967 |
dedd33f5b7d0869e4ad454abba7866e56edaacbb | 301 | py | Python | examples/matplotlib/mpl_plot_dot.py | sudojarvis/arviz | 73531be4f23df7d764b2e3bec8c5ef5cb882590d | [
"Apache-2.0"
] | 1,159 | 2018-04-03T08:50:54.000Z | 2022-03-31T18:03:52.000Z | examples/matplotlib/mpl_plot_dot.py | sudojarvis/arviz | 73531be4f23df7d764b2e3bec8c5ef5cb882590d | [
"Apache-2.0"
] | 1,656 | 2018-03-23T14:15:05.000Z | 2022-03-31T14:00:28.000Z | examples/matplotlib/mpl_plot_dot.py | sudojarvis/arviz | 73531be4f23df7d764b2e3bec8c5ef5cb882590d | [
"Apache-2.0"
] | 316 | 2018-04-03T14:25:52.000Z | 2022-03-25T10:41:29.000Z | """
Dot Plot
=========
_thumb: .2, .8
_example_title: Plot distribution.
"""
import matplotlib.pyplot as plt
import numpy as np
import arviz as az
az.style.use("arviz-darkgrid")
data = np.random.normal(0, 1, 1000)
az.plot_dot(data, dotcolor="C1", point_interval=True, figsize=(12, 6))
plt.show()
| 15.842105 | 70 | 0.69103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 97 | 0.322259 |
dedeaccf1b8d4bb294ba8b9e2278d86179d43f0e | 405 | py | Python | kattis/solutions/alphabetspam.py | yifeng-pan/competitive_programming | c59edb1e08aa2db2158a814e3d34f4302658d98e | [
"Unlicense"
] | null | null | null | kattis/solutions/alphabetspam.py | yifeng-pan/competitive_programming | c59edb1e08aa2db2158a814e3d34f4302658d98e | [
"Unlicense"
] | null | null | null | kattis/solutions/alphabetspam.py | yifeng-pan/competitive_programming | c59edb1e08aa2db2158a814e3d34f4302658d98e | [
"Unlicense"
] | null | null | null | # https://open.kattis.com/problems/alphabetspam
import sys
import math
xs = input()
white = 0
lower = 0
higher =0
other = 0
for i in xs:
if i == '_':
white += 1
elif ('a' <= i) & (i <= 'z'):
lower += 1
elif ('A' <= i) & (i <= "Z"):
higher += 1
else:
other += 1
print(... | 15.576923 | 47 | 0.511111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0.153086 |
dee0061d48e6e49cac68657f95ed5ac4927eaa8e | 3,813 | py | Python | src/chain_orientation_three_vars_symbolic.py | Scriddie/Varsortability | 357213d5ceefb6362060c56e12c18b41dc689306 | [
"MIT"
] | 4 | 2021-12-08T07:54:00.000Z | 2022-03-09T07:55:21.000Z | src/chain_orientation_three_vars_symbolic.py | Scriddie/Varsortability | 357213d5ceefb6362060c56e12c18b41dc689306 | [
"MIT"
] | null | null | null | src/chain_orientation_three_vars_symbolic.py | Scriddie/Varsortability | 357213d5ceefb6362060c56e12c18b41dc689306 | [
"MIT"
] | 1 | 2022-03-09T07:55:43.000Z | 2022-03-09T07:55:43.000Z | import numpy as np
from sympy import simplify, sqrt, symbols
from sympy.stats import Normal, covariance as cov, variance as var
def regcoeffs(x, y, z):
covxy = cov(x, y)
covyz = cov(y, z)
varx = var(x)
vary = var(y)
varz = var(z)
# forward
f1 = simplify(covxy / varx)
f2 = simplify(covy... | 28.455224 | 69 | 0.441385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 713 | 0.186992 |
dee00922a67f6dff4732cf526028648896d0fc92 | 2,290 | py | Python | Phototweet.py | sbamueller/RasperryPi_BildFeinstaub | 3666db384ead64893b3c548065aa31cef6c126af | [
"Apache-2.0"
] | null | null | null | Phototweet.py | sbamueller/RasperryPi_BildFeinstaub | 3666db384ead64893b3c548065aa31cef6c126af | [
"Apache-2.0"
] | null | null | null | Phototweet.py | sbamueller/RasperryPi_BildFeinstaub | 3666db384ead64893b3c548065aa31cef6c126af | [
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python2.7
# coding=<UTF-8>
# tweetpic.py take a photo with the Pi camera and tweet it
# by Alex Eames http://raspi.tv/?p=5918
import tweepy
from subprocess import call
from datetime import datetime
import requests
import json
i = datetime.now() #take time and date for filename
no... | 31.369863 | 80 | 0.691266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,174 | 0.512664 |
dee0dfeab71167aee2a17e14945c71c0e31e66be | 1,762 | py | Python | jaffalearn/logging.py | tqbl/jaffalearn | a5bb79fcb3e84fd6e17b6356429e5885386a5a58 | [
"0BSD"
] | null | null | null | jaffalearn/logging.py | tqbl/jaffalearn | a5bb79fcb3e84fd6e17b6356429e5885386a5a58 | [
"0BSD"
] | null | null | null | jaffalearn/logging.py | tqbl/jaffalearn | a5bb79fcb3e84fd6e17b6356429e5885386a5a58 | [
"0BSD"
] | null | null | null | from pathlib import Path
import pandas as pd
from torch.utils.tensorboard import SummaryWriter
class Logger:
def __init__(self, system, log_dir, overwrite=False):
self.log_path = Path(log_dir) / 'history.csv'
self.system = system
self.tb_writer = None
# Remove any previous Tens... | 30.37931 | 70 | 0.605562 | 1,662 | 0.943246 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.137911 |
dee0ea830b4e14533eb75ccbf58b75a95766df8d | 3,369 | py | Python | python/soma_workflow/constants.py | denisri/soma-workflow | bc6f2f50d34437e86e850cb0d05ff26b041d560d | [
"CECILL-B"
] | null | null | null | python/soma_workflow/constants.py | denisri/soma-workflow | bc6f2f50d34437e86e850cb0d05ff26b041d560d | [
"CECILL-B"
] | 44 | 2018-10-30T16:57:10.000Z | 2022-03-15T10:54:57.000Z | python/soma_workflow/constants.py | populse/soma-workflow | e6d3e3c33ad41107ee3c959adc4832e6edd047f4 | [
"CECILL-B"
] | null | null | null | # -*- coding: utf-8 -*-
'''
author: Soizic Laguitton
organization: I2BM, Neurospin, Gif-sur-Yvette, France
organization: CATI, France
organization: IFR 49
License: `CeCILL version 2 <http://www.cecill.info/licences/Licence_CeCILL_V2-en.html>`_
'''
#
# Soma-workflow constants #
#
'''
Job status:
'''
NOT_SUBMITTED ... | 28.310924 | 88 | 0.655091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,168 | 0.34669 |
dee4241a76fbf19cf565aab66e0521ce2380cc65 | 250 | py | Python | test/tests/global_and_local.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | 1 | 2015-11-06T03:39:51.000Z | 2015-11-06T03:39:51.000Z | test/tests/global_and_local.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | null | null | null | test/tests/global_and_local.py | kevinxucs/pyston | bdb87c1706ac74a0d15d9bc2bae53798678a5f14 | [
"Apache-2.0"
] | null | null | null | # expected: fail
# - this particular check isn't implemented yet
# I would have expected this to be valid, but cPython and pypy err out saying "name 'x' is local and global"
print "first"
x = 1
def f(x):
global x
print "calling"
f(2)
print x
| 16.666667 | 108 | 0.696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.748 |
dee46fc1a2825aedf140afa6a83cd03a303bce36 | 1,980 | py | Python | lab4_2/helpers/scanner.py | cinnamonbreakfast/flcd | f9168c1965976e9ae9477ee6b163a026f61acb1b | [
"MIT"
] | null | null | null | lab4_2/helpers/scanner.py | cinnamonbreakfast/flcd | f9168c1965976e9ae9477ee6b163a026f61acb1b | [
"MIT"
] | null | null | null | lab4_2/helpers/scanner.py | cinnamonbreakfast/flcd | f9168c1965976e9ae9477ee6b163a026f61acb1b | [
"MIT"
] | null | null | null |
res_words = []
seps = []
ops = []
def load_dom():
with open('data/tokens', 'r') as f:
for i in range(7):
separator = f.readline().strip()
if separator == "_": # Special case [SPACE]
separator = " "
seps.append(separator)
for i ... | 22.5 | 74 | 0.491414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0.032323 |
dee4deb771683414d1b0181d259bc1acc86fbf9f | 1,101 | py | Python | fastspider/item/item.py | coco369/fastspider | 464ba47176c005ed97005a79c5c4eee0bf0740b6 | [
"MIT"
] | 6 | 2021-08-09T01:35:44.000Z | 2022-02-15T08:14:29.000Z | fastspider/item/item.py | coco369/fastspider | 464ba47176c005ed97005a79c5c4eee0bf0740b6 | [
"MIT"
] | null | null | null | fastspider/item/item.py | coco369/fastspider | 464ba47176c005ed97005a79c5c4eee0bf0740b6 | [
"MIT"
] | 4 | 2021-08-13T06:41:13.000Z | 2021-12-07T15:53:56.000Z | # encoding=utf-8
"""
Auth: coco369
Email: 779598160@qq.com
CreateTime: 2021/07/30
Desc: fastspider核心代码, 实体Item
"""
class BaseItemMetaClass(type):
def __new__(cls, name, bases, attrs):
attrs.setdefault("__name__", None)
attrs.setdefault("__table_name__", None)
attrs.setdefault("__update_key__", None)
attrs... | 20.018182 | 84 | 0.728429 | 1,018 | 0.882914 | 0 | 0 | 435 | 0.377277 | 0 | 0 | 316 | 0.274068 |
dee8b0a49fcef498a3468a8ea4df153befa037f5 | 26,370 | py | Python | src/third_party/wiredtiger/test/suite/run.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | src/third_party/wiredtiger/test/suite/run.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | src/third_party/wiredtiger/test/suite/run.py | benety/mongo | 203430ac9559f82ca01e3cbb3b0e09149fec0835 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a com... | 40.631741 | 105 | 0.573834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11,091 | 0.420592 |
dee9227b4b6629ca39d002a84205390a69b06f7b | 29,997 | py | Python | Code/Minner/SumDialog.py | lizhangjie316/Minner | f6aebd51cef981d726b53db8d62d1b1703fe2649 | [
"MIT"
] | 1 | 2020-11-05T07:11:33.000Z | 2020-11-05T07:11:33.000Z | Code/Minner0827/ui/SumDialog.py | lizhangjie316/Minner | f6aebd51cef981d726b53db8d62d1b1703fe2649 | [
"MIT"
] | null | null | null | Code/Minner0827/ui/SumDialog.py | lizhangjie316/Minner | f6aebd51cef981d726b53db8d62d1b1703fe2649 | [
"MIT"
] | 1 | 2020-11-05T07:19:44.000Z | 2020-11-05T07:19:44.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'SumDialog.ui'
#
# Created by: PyQt5 UI code generator 5.15.0
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, Qt... | 43.791241 | 116 | 0.657432 | 29,828 | 0.987649 | 0 | 0 | 0 | 0 | 0 | 0 | 6,849 | 0.226781 |
deeb28c75145a6bebc3771235fab7a32732db4c0 | 684 | py | Python | models/t_complex_gateway.py | THM-MA/XSDATA-waypoint | dd94442f9d6677c525bf3ebb03c15fec52fa1079 | [
"MIT"
] | null | null | null | models/t_complex_gateway.py | THM-MA/XSDATA-waypoint | dd94442f9d6677c525bf3ebb03c15fec52fa1079 | [
"MIT"
] | null | null | null | models/t_complex_gateway.py | THM-MA/XSDATA-waypoint | dd94442f9d6677c525bf3ebb03c15fec52fa1079 | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import Optional
from .t_expression import TExpression
from .t_gateway import TGateway
__NAMESPACE__ = "http://www.omg.org/spec/BPMN/20100524/MODEL"
@dataclass
class TComplexGateway(TGateway):
class Meta:
name = "tComplexGateway"
activation_conditi... | 24.428571 | 71 | 0.622807 | 468 | 0.684211 | 0 | 0 | 479 | 0.700292 | 0 | 0 | 177 | 0.258772 |
deebcfc8092fc857d0a9f335ddd1bffc49d0f520 | 2,371 | py | Python | fixture/orm.py | NovikovMA/python_training_mantis | c8de0ec193e2ec644d8053f8e1b7fc1ee8fb1525 | [
"Apache-2.0"
] | null | null | null | fixture/orm.py | NovikovMA/python_training_mantis | c8de0ec193e2ec644d8053f8e1b7fc1ee8fb1525 | [
"Apache-2.0"
] | null | null | null | fixture/orm.py | NovikovMA/python_training_mantis | c8de0ec193e2ec644d8053f8e1b7fc1ee8fb1525 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = 'M.Novikov'
from model.project import Project # Проекты Mantis
from pony.orm import * # Работа с базой данных
from pymysql.converters import decoders #... | 59.275 | 186 | 0.567693 | 2,601 | 0.869318 | 0 | 0 | 360 | 0.120321 | 0 | 0 | 1,568 | 0.524064 |
deecfb2ff8809fa583a186388e95973a391ea0c6 | 3,577 | py | Python | volDB/migrations/0001_initial.py | leg2015/CSCapstone19Volunteers | ae0fcf1e8ce4fafe8578edd0a3943574703046fa | [
"MIT"
] | 4 | 2020-01-13T23:30:34.000Z | 2021-03-17T21:23:57.000Z | volDB/migrations/0001_initial.py | leg2015/CSCapstone19Volunteers | ae0fcf1e8ce4fafe8578edd0a3943574703046fa | [
"MIT"
] | 5 | 2020-02-12T03:25:17.000Z | 2021-06-10T22:29:16.000Z | volDB/migrations/0001_initial.py | leg2015/CSCapstone19Volunteers | ae0fcf1e8ce4fafe8578edd0a3943574703046fa | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-02-23 18:47
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Address',
fields=[
... | 41.593023 | 137 | 0.574224 | 3,451 | 0.964775 | 0 | 0 | 0 | 0 | 0 | 0 | 664 | 0.18563 |
deedff750596df4bfdfcd2656752ec59911b5e80 | 2,713 | py | Python | crawler/page_fetcher.py | AssisRaphael/PageColector | 6753376996f12ee1cced96b89a3e34d6fdf66529 | [
"MIT"
] | null | null | null | crawler/page_fetcher.py | AssisRaphael/PageColector | 6753376996f12ee1cced96b89a3e34d6fdf66529 | [
"MIT"
] | null | null | null | crawler/page_fetcher.py | AssisRaphael/PageColector | 6753376996f12ee1cced96b89a3e34d6fdf66529 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
from threading import Thread
import requests
from urllib.parse import urlparse,urljoin
from urllib import parse
class PageFetcher(Thread):
def __init__(self, obj_scheduler):
self.obj_scheduler = obj_scheduler
def request_url(self,obj_url):
"""
Faz ... | 33.085366 | 109 | 0.570586 | 2,576 | 0.946711 | 964 | 0.354282 | 0 | 0 | 0 | 0 | 607 | 0.22308 |
def0c98ea1f503e25e5a4f61d70a095d8ff1d77d | 141 | py | Python | app/celery_worker.py | cjarv/celery_dev | 1c0489ccf456249d5bd8d21da40ebe4572842af6 | [
"MIT"
] | null | null | null | app/celery_worker.py | cjarv/celery_dev | 1c0489ccf456249d5bd8d21da40ebe4572842af6 | [
"MIT"
] | null | null | null | app/celery_worker.py | cjarv/celery_dev | 1c0489ccf456249d5bd8d21da40ebe4572842af6 | [
"MIT"
] | null | null | null | from factories.celery import create_celery
from factories.application import create_application
celery = create_celery(create_application()) | 35.25 | 52 | 0.87234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
def0d455f3332a2d6ded90d585855fcbfa88a92a | 2,098 | py | Python | simublocks/dialog/importCodeDialog.py | bentoavb/simublocks | 9d4a5600b8aecd2d188e9191d78789a1bd725ab8 | [
"MIT"
] | 2 | 2020-05-14T12:34:43.000Z | 2020-06-11T23:48:09.000Z | simublocks/dialog/importCodeDialog.py | bentoavb/simublocks | 9d4a5600b8aecd2d188e9191d78789a1bd725ab8 | [
"MIT"
] | null | null | null | simublocks/dialog/importCodeDialog.py | bentoavb/simublocks | 9d4a5600b8aecd2d188e9191d78789a1bd725ab8 | [
"MIT"
] | 1 | 2020-05-12T07:01:28.000Z | 2020-05-12T07:01:28.000Z | # MIT License
#
# Copyright (c) 2020 Anderson Vitor Bento
#
# 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... | 38.851852 | 98 | 0.704957 | 860 | 0.409914 | 0 | 0 | 0 | 0 | 0 | 0 | 1,168 | 0.556721 |
def0f90a3cae5abac2b0927d079c001b98668c18 | 1,365 | py | Python | python-socket-mult-thread/server.py | Programmer-Edilson/min-projects | 62dfa55e8875b3d0d3e6cc9cb504c3f3f7da064e | [
"MIT"
] | 1 | 2021-02-28T17:33:59.000Z | 2021-02-28T17:33:59.000Z | python-socket-mult-thread/server.py | Programmer-Edilson/min-projects | 62dfa55e8875b3d0d3e6cc9cb504c3f3f7da064e | [
"MIT"
] | null | null | null | python-socket-mult-thread/server.py | Programmer-Edilson/min-projects | 62dfa55e8875b3d0d3e6cc9cb504c3f3f7da064e | [
"MIT"
] | null | null | null | import socket
import os
from _thread import start_new_thread
ip = "localhost"
port = 1234
global number_of_connections
number_of_connections = 0
server = socket.socket()
server.bind((ip, port))
server.listen(5)
def handle_client(socket_client):
global number_of_connections
msg = "You are connected!"
... | 24.375 | 74 | 0.621245 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.136996 |
def2f40bc3a8f54d1a406e95811076ed0688d708 | 658 | py | Python | delete_unuse_callkit.py | eyolo2021/ios-ui-sdk-set | a8897320c356ddd6dbfe964ef68eb76701759f03 | [
"MIT"
] | 14 | 2021-03-06T08:47:30.000Z | 2022-02-11T09:42:24.000Z | delete_unuse_callkit.py | eyolo2021/ios-ui-sdk-set | a8897320c356ddd6dbfe964ef68eb76701759f03 | [
"MIT"
] | 3 | 2021-03-19T11:12:42.000Z | 2021-11-29T14:56:33.000Z | delete_unuse_callkit.py | Zuzi007/ios-ui-sdk-set | 2e51added5d697b4d1ab1ba2887ad297b408e7b0 | [
"MIT"
] | 12 | 2021-07-02T02:44:52.000Z | 2022-03-01T05:15:22.000Z | #coding=utf-8
import os
delete_files=["RCCall.mm","RCCXCall.m"]
start_key = "RCCallKit_Delete_Start"
end_key = "RCCallKit_Delete_end"
def delete_used(file_path):
print(file_path)
f = open(file_path,"r")
lines = f.readlines()
f.close()
# print(lines)
result = []
flag = False
for l in lines:
if start_key... | 15.666667 | 44 | 0.674772 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 129 | 0.196049 |
def6b9e9ff86d2545be01b4fc202577ea606b159 | 525 | py | Python | global_setting.py | aixiwang/mqtt_datajs | 91091d63f73e64916e6ca3fa5e9279dd361d3c86 | [
"BSD-3-Clause"
] | null | null | null | global_setting.py | aixiwang/mqtt_datajs | 91091d63f73e64916e6ca3fa5e9279dd361d3c86 | [
"BSD-3-Clause"
] | null | null | null | global_setting.py | aixiwang/mqtt_datajs | 91091d63f73e64916e6ca3fa5e9279dd361d3c86 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python
#-*- coding: utf-8 -*-
#---------------------------------------
#
# Copyright(c) Aixi Wang 2014-2015
#---------------------------------------
# v1 -- initial version
#---------------------------------------
#-----------------------
# mail
#-----------------------
global mail_sender,mail_smtpserver,ma... | 23.863636 | 62 | 0.493333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 327 | 0.622857 |
def712afd23e0562bd689a7a3ab2431ec0fae53a | 631 | py | Python | Chatbot_Rest/urls.py | chenpocufa/Chatbot_CN | 5e13c129c159143610f4dfc99478d401dd5777e6 | [
"Apache-2.0"
] | 1 | 2019-08-02T06:09:34.000Z | 2019-08-02T06:09:34.000Z | Chatbot_Rest/urls.py | yuxuan2015/Chatbot_CN | 1adf1c01d3eced5f0644102bdec9be22705b6f3f | [
"Apache-2.0"
] | null | null | null | Chatbot_Rest/urls.py | yuxuan2015/Chatbot_CN | 1adf1c01d3eced5f0644102bdec9be22705b6f3f | [
"Apache-2.0"
] | null | null | null | #-*- coding:utf-8 _*-
"""
@author:charlesXu
@file: urls.py
@desc: 接口url
@time: 2019/05/10
"""
# ===============
#
# apis 下面的路由
#
# ===============
from django.urls import path
from intent_rest_controller import intent_controller
from entity_extraction_controller import entity_ext_controller
from bot_controll... | 21.033333 | 62 | 0.667195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.409289 |
def7709b7d7d970c7608ad7be378d822d2e33518 | 14,334 | py | Python | tests/frameworks/test_wsgi.py | tirkarthi/python-sensor | 9872d146ac00baff2673fde5ba97fdbe596869a4 | [
"MIT"
] | 61 | 2017-09-27T02:50:17.000Z | 2022-03-22T12:13:37.000Z | tests/frameworks/test_wsgi.py | tirkarthi/python-sensor | 9872d146ac00baff2673fde5ba97fdbe596869a4 | [
"MIT"
] | 82 | 2017-07-11T13:47:33.000Z | 2022-03-22T10:10:38.000Z | tests/frameworks/test_wsgi.py | takeaway/python-sensor | 52d6eaa2d6a8e625201bad36ac2448201c4bd63d | [
"MIT"
] | 27 | 2017-09-11T16:22:32.000Z | 2022-03-11T17:21:49.000Z | # (c) Copyright IBM Corp. 2021
# (c) Copyright Instana Inc. 2020
from __future__ import absolute_import
import time
import urllib3
import unittest
import tests.apps.flask_app
from ..helpers import testenv
from instana.singletons import agent, tracer
class TestWSGI(unittest.TestCase):
def setUp(self):
"... | 36.943299 | 102 | 0.647133 | 14,078 | 0.98214 | 0 | 0 | 0 | 0 | 0 | 0 | 2,584 | 0.180271 |
def7ae196a0259e7e64d4dfd6522b1ee72138646 | 16,178 | py | Python | api/yolo_minimal/utils.py | simonsmh/www | 1741545e636540b9eb250840347f091082fe301a | [
"MIT"
] | 5 | 2015-12-19T11:18:54.000Z | 2016-08-27T02:21:59.000Z | api/yolo_minimal/utils.py | simonsmh/www | 1741545e636540b9eb250840347f091082fe301a | [
"MIT"
] | null | null | null | api/yolo_minimal/utils.py | simonsmh/www | 1741545e636540b9eb250840347f091082fe301a | [
"MIT"
] | 1 | 2020-10-30T13:25:33.000Z | 2020-10-30T13:25:33.000Z | import math
import os
import random
import cv2
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
def xyxy2xywh(x):
# Transform box coordinates from [x1, y1, x2, y2] (where xy1=top-left, xy2=bottom-right) to [x, y, w, h]
y = torch.zeros_like(x) if isinsta... | 34.49467 | 117 | 0.52627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,764 | 0.294474 |
def8727d101b934efb5715bc01f3842eeeee3ee3 | 4,934 | py | Python | ec2stack/__init__.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 13 | 2015-05-06T13:38:13.000Z | 2021-11-09T21:39:01.000Z | ec2stack/__init__.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 3 | 2015-08-21T17:31:20.000Z | 2021-07-07T08:39:11.000Z | ec2stack/__init__.py | sureshanaparti/cloudstack-ec2stack | 8e07435d3d04357995f2a5d337adef62ecbfdd8d | [
"Apache-2.0"
] | 17 | 2015-07-24T06:00:59.000Z | 2021-11-09T21:38:52.000Z | #!/usr/bin/env python
# encoding: utf-8
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licens... | 28.356322 | 88 | 0.676125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,086 | 0.422781 |
def8fdb574ef8e8309feae4ee72edbfe9a0a3beb | 926 | py | Python | schematics_proto3/unset.py | mlga/schematics-proto3 | 588fe5bc212e203688166638a1c52dfeda931403 | [
"MIT"
] | null | null | null | schematics_proto3/unset.py | mlga/schematics-proto3 | 588fe5bc212e203688166638a1c52dfeda931403 | [
"MIT"
] | 11 | 2020-04-09T13:33:54.000Z | 2020-08-19T17:38:26.000Z | schematics_proto3/unset.py | mlga/schematics-proto3 | 588fe5bc212e203688166638a1c52dfeda931403 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
Test module docstring.
"""
import threading
from typing import Type
class UnsetType:
"""
Test docstring.
"""
__slots__ = []
_instance: 'UnsetType' = None
_lock: threading.Lock = threading.Lock()
def __str__(self):
return 'Unset'
def __repr__(self)... | 17.807692 | 56 | 0.580994 | 774 | 0.835853 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.160907 |
def92f706f99835e10af1d0e6310107f2432dbe5 | 193 | py | Python | aws_lambda_powertools/event_handler/__init__.py | nayaverdier/aws-lambda-powertools-python | cd15ee97746356a84c6f196dbd2d26a34ea50411 | [
"Apache-2.0",
"MIT-0"
] | 1,208 | 2020-05-20T19:06:29.000Z | 2022-03-30T14:17:47.000Z | aws_lambda_powertools/event_handler/__init__.py | nayaverdier/aws-lambda-powertools-python | cd15ee97746356a84c6f196dbd2d26a34ea50411 | [
"Apache-2.0",
"MIT-0"
] | 859 | 2020-05-22T09:59:54.000Z | 2022-03-31T08:31:30.000Z | aws_lambda_powertools/event_handler/__init__.py | nayaverdier/aws-lambda-powertools-python | cd15ee97746356a84c6f196dbd2d26a34ea50411 | [
"Apache-2.0",
"MIT-0"
] | 163 | 2020-05-18T21:08:25.000Z | 2022-03-28T12:03:37.000Z | """
Event handler decorators for common Lambda events
"""
from .api_gateway import ApiGatewayResolver
from .appsync import AppSyncResolver
__all__ = ["AppSyncResolver", "ApiGatewayResolver"]
| 21.444444 | 51 | 0.797927 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.487047 |
def98cf0f4126cdcda2bee2e5c8d96a01bc4937b | 1,351 | py | Python | solutions/5/guillaume/LookAhead.py | larsbratholm/champs_kaggle | fda4f213d02fd5e0138a86c52b4140c9f94fec6e | [
"MIT"
] | 9 | 2020-08-14T23:11:16.000Z | 2021-08-09T16:23:43.000Z | solutions/5/guillaume/LookAhead.py | larsbratholm/champs_kaggle | fda4f213d02fd5e0138a86c52b4140c9f94fec6e | [
"MIT"
] | 1 | 2020-11-19T09:29:14.000Z | 2020-11-19T09:29:14.000Z | solutions/5/guillaume/LookAhead.py | larsbratholm/champs_kaggle | fda4f213d02fd5e0138a86c52b4140c9f94fec6e | [
"MIT"
] | 2 | 2020-09-09T02:53:57.000Z | 2020-12-06T08:20:52.000Z | import itertools as it
from torch.optim import Optimizer
class LookAhead(Optimizer):
def __init__(self, base_optimizer,alpha=0.5, k=6):
if not 0.0 <= alpha <= 1.0:
raise ValueError(f'Invalid slow update rate: {alpha}')
if not 1 <= k:
raise ValueError(f'Invalid lookahead steps... | 37.527778 | 75 | 0.559585 | 1,293 | 0.957069 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.092524 |
defcc91baa71d0c94f476ef6cc3d35765b3516a0 | 2,263 | py | Python | addexp.py | Shajm44n/Expense | db3355d4d81d5dd57ceea81b1170724b8893e523 | [
"MIT"
] | null | null | null | addexp.py | Shajm44n/Expense | db3355d4d81d5dd57ceea81b1170724b8893e523 | [
"MIT"
] | null | null | null | addexp.py | Shajm44n/Expense | db3355d4d81d5dd57ceea81b1170724b8893e523 | [
"MIT"
] | null | null | null | from tkinter import *
# import expdate
import mysql.connector
db_connect=mysql.connector.connect(host="localhost",user="root",password="maan",database="expense")
db_cursor=db_connect.cursor()
def add_expense(day,month,year):
print("add exp")
window=Tk()
window.title("Expense list")
l_message=Label(w... | 32.797101 | 236 | 0.643836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 412 | 0.182059 |
defd13835bf657af58b23494bf16c9abcbbae2e8 | 1,217 | py | Python | BlackJack/UserInterface/BlackJackUI.py | Kasyx709/BlackJack | a99cd9327e466ed51dadbf4b5407c2370f998b82 | [
"MIT"
] | null | null | null | BlackJack/UserInterface/BlackJackUI.py | Kasyx709/BlackJack | a99cd9327e466ed51dadbf4b5407c2370f998b82 | [
"MIT"
] | null | null | null | BlackJack/UserInterface/BlackJackUI.py | Kasyx709/BlackJack | a99cd9327e466ed51dadbf4b5407c2370f998b82 | [
"MIT"
] | null | null | null | from __future__ import division
from BlackJack.UserInterface import tk
from BlackJack.UserInterface import tkFont
from BlackJack.UserInterface import BlackJackWindows
from BlackJack.UserInterface import SelectGameType
from BlackJack.UserInterface import Helpers
class BlackJackUI(object):
def __init__(self):
... | 40.566667 | 92 | 0.696795 | 951 | 0.78143 | 0 | 0 | 0 | 0 | 0 | 0 | 151 | 0.124076 |
defd4d718f41568b76388eb0230161d0d48bb24e | 263 | py | Python | winecasino/core/entities/__init__.py | harlov/winecasino | ae29b2c8f75bfd05ad141fd3b596f1db7c103690 | [
"MIT"
] | null | null | null | winecasino/core/entities/__init__.py | harlov/winecasino | ae29b2c8f75bfd05ad141fd3b596f1db7c103690 | [
"MIT"
] | null | null | null | winecasino/core/entities/__init__.py | harlov/winecasino | ae29b2c8f75bfd05ad141fd3b596f1db7c103690 | [
"MIT"
] | null | null | null | from .country import Country
from .game import Game
from .game import Bid
from .user import User
from .grape import Grape
from .wine import Wine
from .base import new_id
__all__ = [
"new_id",
"Country",
"Game",
"Grape",
"User",
"Wine",
]
| 15.470588 | 28 | 0.653992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.159696 |
defdbd583ad5f6b3a08353cba72476c7dbaff00c | 295 | py | Python | download-deveres/para-execicios-curso-em-video/exe019.py | Hugo-Oliveira-RDO11/meus-deveres | b5e41015e2cb95946262678e82197e5f47d56271 | [
"MIT"
] | null | null | null | download-deveres/para-execicios-curso-em-video/exe019.py | Hugo-Oliveira-RDO11/meus-deveres | b5e41015e2cb95946262678e82197e5f47d56271 | [
"MIT"
] | null | null | null | download-deveres/para-execicios-curso-em-video/exe019.py | Hugo-Oliveira-RDO11/meus-deveres | b5e41015e2cb95946262678e82197e5f47d56271 | [
"MIT"
] | null | null | null | import random
p = str(input('digite o nome do primeiro aluno :'))
s = str(input('o nome do segundo aluno :'))
t = str(input('o nome do terceiro aluno :'))
q = str(input('o nome do quato aluno :'))
lista = [p, s, t, q]
aluno = random.choice(lista)
print('o aluno sorteado foi {}'.format(aluno))
| 29.5 | 51 | 0.657627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.474576 |
defde4b16a7fe68a1c0b7ba26a303a5bb6a695bc | 12,389 | py | Python | cma-evolve.py | simondlevy/CMA-Gym | ce0056873d42eae2b6769fe22fcf872459694f30 | [
"Apache-2.0"
] | null | null | null | cma-evolve.py | simondlevy/CMA-Gym | ce0056873d42eae2b6769fe22fcf872459694f30 | [
"Apache-2.0"
] | null | null | null | cma-evolve.py | simondlevy/CMA-Gym | ce0056873d42eae2b6769fe22fcf872459694f30 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import gym
import torch
import numpy as np
import multiprocessing as mp
import os
import pickle
import sys
import time
import logging
import cma
import argparse
from torchmodel import StandardFCNet
def _makedir(name):
if not os.path.exists(name):
os.makedirs(name)
def get_logger():... | 33.574526 | 123 | 0.600291 | 6,318 | 0.509969 | 0 | 0 | 0 | 0 | 0 | 0 | 909 | 0.073372 |
defec38e9abb5a9b6de6de6949355eb8f83f8c74 | 342 | py | Python | src/arcclimate/temperature.py | youworks/arcclimate | 62a9eece267e42ccddfc5145e8ee50776470f7bf | [
"MIT"
] | null | null | null | src/arcclimate/temperature.py | youworks/arcclimate | 62a9eece267e42ccddfc5145e8ee50776470f7bf | [
"MIT"
] | null | null | null | src/arcclimate/temperature.py | youworks/arcclimate | 62a9eece267e42ccddfc5145e8ee50776470f7bf | [
"MIT"
] | 1 | 2022-03-08T01:04:47.000Z | 2022-03-08T01:04:47.000Z | """
気温の関するモジュール
"""
import numpy as np
def get_corrected_TMP(TMP: np.ndarray, ele_gap: float) -> np.ndarray:
"""気温の標高補正
Args:
TMP (np.ndarray): 気温 [℃]
ele_gap (np.ndarray): 標高差 [m]
Returns:
np.ndarray: 標高補正後の気温 [C]
Notes:
気温減率の平均値を0.0065℃/mとする。
"""
return TM... | 15.545455 | 69 | 0.564327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 301 | 0.693548 |
defeff29d76d14fa0aceaad7cd54a55164f7136c | 2,386 | py | Python | rastervision/data/label_store/default.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 4 | 2019-03-11T12:38:15.000Z | 2021-04-06T14:57:52.000Z | rastervision/data/label_store/default.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | null | null | null | rastervision/data/label_store/default.py | carderne/raster-vision | 915fbcd3263d8f2193e65c2cd0eb53e050a47a01 | [
"Apache-2.0"
] | 1 | 2019-10-29T09:22:09.000Z | 2019-10-29T09:22:09.000Z | from abc import (ABC, abstractmethod)
import os
import rastervision as rv
class LabelStoreDefaultProvider(ABC):
@staticmethod
@abstractmethod
def is_default_for(task_type):
"""Returns True if this label store is the default for this tasks_type"""
pass
@staticmethod
@abstractmetho... | 27.425287 | 86 | 0.65088 | 2,299 | 0.963537 | 0 | 0 | 1,950 | 0.817267 | 0 | 0 | 264 | 0.110645 |
720247461650041909a7ce79fd85da841234a38b | 6,425 | py | Python | app.py | aniketjana03/TimeSheet | 519b3bdad79dedb7210747906bf4b8e24e64691a | [
"Apache-2.0"
] | null | null | null | app.py | aniketjana03/TimeSheet | 519b3bdad79dedb7210747906bf4b8e24e64691a | [
"Apache-2.0"
] | null | null | null | app.py | aniketjana03/TimeSheet | 519b3bdad79dedb7210747906bf4b8e24e64691a | [
"Apache-2.0"
] | null | null | null | import sys
import os
from flask import Flask, flash, redirect, render_template, request, url_for, session
from flaskext.mysql import MySQL
from flask_login import LoginManager
from flask_bcrypt import Bcrypt
from flask_session import Session
from database import Database
from makedb import MakeDB
from helpers import ge... | 32.125 | 144 | 0.598599 | 0 | 0 | 0 | 0 | 5,525 | 0.859922 | 0 | 0 | 2,088 | 0.324981 |
7202ced44b536e7785d48d42a3fe09355e98fc12 | 448 | py | Python | guestbook/models.py | Bespolezniy/geek-world | 8fbaf451b4e87e48e73eb289035ec0ea68ea0e68 | [
"MIT"
] | null | null | null | guestbook/models.py | Bespolezniy/geek-world | 8fbaf451b4e87e48e73eb289035ec0ea68ea0e68 | [
"MIT"
] | null | null | null | guestbook/models.py | Bespolezniy/geek-world | 8fbaf451b4e87e48e73eb289035ec0ea68ea0e68 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class GuestBook(models.Model):
user = models.CharField(max_length=15, verbose_name="User")
date = models.DateTimeField(db_index=True, auto_now_add=True, verbose_name="Published")
content = models.TextField(verbose_name="Content")
class Me... | 37.333333 | 92 | 0.694196 | 386 | 0.861607 | 0 | 0 | 0 | 0 | 0 | 0 | 98 | 0.21875 |
72043f3633eddba64964dbbdb6f17d84cf1d6267 | 34,859 | py | Python | PA1/PA1_Q2/P21CS007_VGG16.py | aryachiranjeev/Dependable-AI | 750570572c1baaa2590a89c0982e2f71b15b48b9 | [
"MIT"
] | null | null | null | PA1/PA1_Q2/P21CS007_VGG16.py | aryachiranjeev/Dependable-AI | 750570572c1baaa2590a89c0982e2f71b15b48b9 | [
"MIT"
] | null | null | null | PA1/PA1_Q2/P21CS007_VGG16.py | aryachiranjeev/Dependable-AI | 750570572c1baaa2590a89c0982e2f71b15b48b9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[2]:
import numpy as np
import pandas as pd
import random
import tensorflow as tf
import matplotlib.pyplot as plt
from tensorflow.keras.layers import Dense,Flatten,GlobalAveragePooling2D,Input,Lambda
from tensorflow.keras.models import Model,load_model
import tensorflow.kera... | 33.16746 | 235 | 0.685304 | 1,889 | 0.05419 | 0 | 0 | 0 | 0 | 0 | 0 | 3,936 | 0.112912 |
72045094280bf8b19ef8956f47fe38ea87d738b3 | 1,027 | py | Python | notebooks/general.py | transientlunatic/grasshopper | 1d3822427970d200341ff9d2823949fb4b27e001 | [
"0BSD"
] | 3 | 2020-09-26T01:27:13.000Z | 2020-09-30T05:47:42.000Z | notebooks/general.py | transientlunatic/gravpy | 1d3822427970d200341ff9d2823949fb4b27e001 | [
"0BSD"
] | null | null | null | notebooks/general.py | transientlunatic/gravpy | 1d3822427970d200341ff9d2823949fb4b27e001 | [
"0BSD"
] | null | null | null | import numpy as np
import astropy.units as u
def snr(signal, detector):
"""
Calculate the SNR of a signal in a given detector,
assuming that it has been detected with an optimal filter.
See e.g. arxiv.org/abs/1408.0740
Parameters
----------
signal : Source
A Source object which ... | 30.205882 | 79 | 0.635833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 558 | 0.54333 |
72082ffdc0eb8ab81095d7d094328792a40cbcea | 6,898 | py | Python | dlfairness/original_code/FairALM/Experiments-CelebA/results/quantitative_results/plot_celeba.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | dlfairness/original_code/FairALM/Experiments-CelebA/results/quantitative_results/plot_celeba.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | dlfairness/original_code/FairALM/Experiments-CelebA/results/quantitative_results/plot_celeba.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | '''
Script to plot the accuracy and the fairness measures for different algorithms
from the log files
'''
import matplotlib
matplotlib.use('agg')
from matplotlib import pyplot as plt
import os
print(os.getcwd())
import numpy as np
plt.style.use('ggplot')
def create_acc_lists(filepath):
train_acc = []
train_d... | 36.691489 | 81 | 0.621919 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,634 | 0.23688 |
72085eb6f35c638ad1743b5ae7bd6a8de18fc6f3 | 682 | py | Python | conqueror/scraper/base_yandex.py | piotrmaslanka/yandex-conqueror | cd0b50a43e25551f91150e0bee4f9cd307e4adce | [
"MIT"
] | 12 | 2022-03-01T22:45:05.000Z | 2022-03-16T05:46:24.000Z | conqueror/scraper/base_yandex.py | piotrmaslanka/yandex-conqueror | cd0b50a43e25551f91150e0bee4f9cd307e4adce | [
"MIT"
] | 1 | 2022-03-02T10:18:05.000Z | 2022-03-02T11:03:52.000Z | conqueror/scraper/base_yandex.py | piotrmaslanka/yandex-conqueror | cd0b50a43e25551f91150e0bee4f9cd307e4adce | [
"MIT"
] | 1 | 2022-03-02T10:18:35.000Z | 2022-03-02T10:18:35.000Z | import requests
from satella.coding.decorators import retry
@retry(3, exc_classes=requests.RequestException)
def get_yandex_request(url, arguments) -> dict:
"""
Return a JSON object querying Yandex at provided parameters.
Handling CSRF will be done automatically.
:param url: URL to ask
:param ar... | 28.416667 | 64 | 0.692082 | 0 | 0 | 0 | 0 | 619 | 0.907625 | 0 | 0 | 279 | 0.409091 |
72097fdf43f5937088d329748fec0dc61447255f | 6,142 | py | Python | engine/azbatchengine.py | asedighi/azure_realtime_batch | c2cf4c8edc2bbded8377842fcad6370fd35af44e | [
"MIT"
] | 3 | 2020-05-08T16:20:07.000Z | 2021-10-06T11:16:10.000Z | engine/azbatchengine.py | asedighi/azure_realtime_batch | c2cf4c8edc2bbded8377842fcad6370fd35af44e | [
"MIT"
] | null | null | null | engine/azbatchengine.py | asedighi/azure_realtime_batch | c2cf4c8edc2bbded8377842fcad6370fd35af44e | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation
#
# All rights reserved.
#
# MIT License
#
# 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... | 29.38756 | 137 | 0.667209 | 3,986 | 0.648974 | 0 | 0 | 0 | 0 | 0 | 0 | 2,214 | 0.360469 |
720a41d918f83d5bbf26dfd204b04b9dc1b4ac43 | 1,090 | py | Python | j.py | chirag127/Language-Translator-Using-Tkinter-in-Python | c790a0672c770cf703559d99c74ad581643f4d2f | [
"MIT"
] | null | null | null | j.py | chirag127/Language-Translator-Using-Tkinter-in-Python | c790a0672c770cf703559d99c74ad581643f4d2f | [
"MIT"
] | null | null | null | j.py | chirag127/Language-Translator-Using-Tkinter-in-Python | c790a0672c770cf703559d99c74ad581643f4d2f | [
"MIT"
] | null | null | null | import tkinter as tk
import sys
class PrintLogger(): # create file like object
def __init__(self, textbox): # pass reference to text widget
self.textbox = textbox # keep ref
def write(self, text):
self.textbox.insert(tk.END, text) # write text to textbox
# could also scroll to end ... | 24.772727 | 82 | 0.542202 | 395 | 0.362385 | 0 | 0 | 0 | 0 | 0 | 0 | 411 | 0.377064 |
720b01f5be1444386ad583c605e2465546f819c4 | 2,695 | py | Python | byteweiser.py | urbanware-org/byteweiser | fc90d17b51ead44af53401dc9c8ca5f0efc5e72e | [
"MIT"
] | 3 | 2017-11-27T00:35:04.000Z | 2017-12-13T22:41:31.000Z | byteweiser.py | urbanware-org/byteweiser | fc90d17b51ead44af53401dc9c8ca5f0efc5e72e | [
"MIT"
] | 1 | 2017-03-08T19:04:49.000Z | 2017-03-08T19:04:49.000Z | byteweiser.py | urbanware-org/byteweiser | fc90d17b51ead44af53401dc9c8ca5f0efc5e72e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ============================================================================
# ByteWeiser - Byte comparison and replacement tool
# Main script
# Copyright (C) 2021 by Ralf Kilian
# Distributed under the MIT License (https://opensource.org/licenses/MIT)
#
# GitHub: https... | 34.551282 | 78 | 0.562152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,234 | 0.457885 |
720b83b3d481df1e875ae4b17eade77f3a7f0679 | 9,798 | py | Python | scripts/st_dashboard.py | rsmith49/simple-budget-pld | 1bee5a26f53aa4a5b0aab49ee4c158b5ecb7c743 | [
"Apache-2.0"
] | 1 | 2022-01-01T14:44:40.000Z | 2022-01-01T14:44:40.000Z | scripts/st_dashboard.py | rsmith49/simple-budget-pld | 1bee5a26f53aa4a5b0aab49ee4c158b5ecb7c743 | [
"Apache-2.0"
] | null | null | null | scripts/st_dashboard.py | rsmith49/simple-budget-pld | 1bee5a26f53aa4a5b0aab49ee4c158b5ecb7c743 | [
"Apache-2.0"
] | null | null | null | import altair as alt
import os
import pandas as pd
import streamlit as st
import sys
from datetime import datetime
from dateutil.relativedelta import relativedelta
from dotenv import load_dotenv
from plaid.api_client import ApiClient
from plaid.exceptions import ApiException
from pathlib import Path
from traceback imp... | 33.101351 | 119 | 0.610431 | 0 | 0 | 0 | 0 | 1,400 | 0.142813 | 0 | 0 | 3,021 | 0.308171 |
720ee96617fe84100cbf9c9517c56d368835bd2c | 16,818 | py | Python | scripts/devvnet_manager.py | spmckenney/Devv-Core | eb30ae3a092e3fe0f9f756f5f31bdce4f6215b98 | [
"MIT"
] | null | null | null | scripts/devvnet_manager.py | spmckenney/Devv-Core | eb30ae3a092e3fe0f9f756f5f31bdce4f6215b98 | [
"MIT"
] | null | null | null | scripts/devvnet_manager.py | spmckenney/Devv-Core | eb30ae3a092e3fe0f9f756f5f31bdce4f6215b98 | [
"MIT"
] | null | null | null | import yaml
import argparse
import sys
import os
import subprocess
import time
def get_devvnet(filename):
with open(filename, "r") as f:
buf = ''.join(f.readlines())
conf = yaml.load(buf, Loader=yaml.Loader)
# Set bind_port values
port = conf['devvnet']['base_port']
for a in conf['devv... | 33.171598 | 276 | 0.576347 | 10,288 | 0.611726 | 0 | 0 | 0 | 0 | 0 | 0 | 3,179 | 0.189024 |
72103568b2899de2bb48ee1f49834b293ab3bb81 | 5,896 | py | Python | run_qasm.py | t-imamichi/qiskit-utility | 2e71d0457bba0e6eb91daa9dbb32f52d87fe9f0b | [
"Apache-2.0"
] | 6 | 2019-02-27T11:53:18.000Z | 2022-03-02T21:28:05.000Z | run_qasm.py | t-imamichi/qiskit-utility | 2e71d0457bba0e6eb91daa9dbb32f52d87fe9f0b | [
"Apache-2.0"
] | null | null | null | run_qasm.py | t-imamichi/qiskit-utility | 2e71d0457bba0e6eb91daa9dbb32f52d87fe9f0b | [
"Apache-2.0"
] | 2 | 2019-05-03T23:52:03.000Z | 2020-12-22T12:12:38.000Z | #!/usr/bin/env python
# coding: utf-8
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
'''
This tool submits a QASM file to any backend and show the result.
It requires 'Qconfig.py' to set a token o... | 39.046358 | 116 | 0.608887 | 2,503 | 0.424525 | 0 | 0 | 131 | 0.022218 | 0 | 0 | 2,064 | 0.350068 |
72118299f37a0a55a9f0a207024fcdd8ae01fcd7 | 445 | py | Python | alembic/versions/175f5441bd46_adding_usrname_column.py | thiere18/fastapi-boilerplate | 6760e0e49caa915563d44897262d493b012207c0 | [
"MIT"
] | 5 | 2021-12-10T17:35:31.000Z | 2021-12-30T18:36:23.000Z | alembic/versions/175f5441bd46_adding_usrname_column.py | thiere18/fastapi-boilerplate | 6760e0e49caa915563d44897262d493b012207c0 | [
"MIT"
] | 1 | 2021-11-21T13:59:03.000Z | 2021-11-21T13:59:03.000Z | alembic/versions/175f5441bd46_adding_usrname_column.py | thiere18/fastapi-boilerplate | 6760e0e49caa915563d44897262d493b012207c0 | [
"MIT"
] | 1 | 2021-12-07T14:08:12.000Z | 2021-12-07T14:08:12.000Z | """adding usrname column
Revision ID: 175f5441bd46
Revises: 186abcf43cae
Create Date: 2021-11-20 22:54:04.157131
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '175f5441bd46'
down_revision = '186abcf43cae'
branch_labels = None
depends_on = None
def upgrade()... | 16.481481 | 79 | 0.72809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 203 | 0.45618 |
7211ad9fb739bb9a8cf35bb0752773293df5ab6b | 2,356 | py | Python | api/teams/models.py | wepickheroes/wepickheroes.github.io | 032c2a75ef058aaceb795ce552c52fbcc4cdbba3 | [
"MIT"
] | 3 | 2018-02-15T20:04:23.000Z | 2018-09-29T18:13:55.000Z | api/teams/models.py | wepickheroes/wepickheroes.github.io | 032c2a75ef058aaceb795ce552c52fbcc4cdbba3 | [
"MIT"
] | 5 | 2018-01-31T02:01:15.000Z | 2018-05-11T04:07:32.000Z | api/teams/models.py | prattl/wepickheroes | 032c2a75ef058aaceb795ce552c52fbcc4cdbba3 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.contrib.auth import get_user_model
from django.db import models
from nucleus.models import (
AbstractBaseModel,
EmailRecord,
TeamMember,
)
User = get_user_model()
class Team(AbstractBaseModel):
name = models.CharField(max_length=255)
logo_url = models... | 29.45 | 94 | 0.639219 | 1,983 | 0.841681 | 0 | 0 | 0 | 0 | 0 | 0 | 286 | 0.121392 |
7211e7dcde6526670f3ae011a8fd15606f93b81e | 1,826 | py | Python | tables_io/lazy_modules.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | 1 | 2021-08-13T15:41:58.000Z | 2021-08-13T15:41:58.000Z | tables_io/lazy_modules.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | 18 | 2021-08-12T00:09:36.000Z | 2022-02-24T21:11:18.000Z | tables_io/lazy_modules.py | LSSTDESC/tables_io | 1c2f119c928d05d237b1c8509e340d29650ceb8b | [
"MIT"
] | null | null | null | """ Lazy loading modules """
import sys
import importlib.util
class DeferredModuleError:
""" Class to throw an error if you try to use a modules that wasn't loaded """
def __init__(self, moduleName):
self._moduleName = moduleName
@property
def moduleName(self):
""" Return the name o... | 26.852941 | 82 | 0.645126 | 506 | 0.277108 | 0 | 0 | 135 | 0.073932 | 0 | 0 | 647 | 0.354326 |
721392272e51a8013f6d83d05f9c457dc8ce2f53 | 4,811 | py | Python | print_results.py | MicImbriani/Keras-PRBX | ab9dd8196e6f184336f5b30715635670d3586136 | [
"CC0-1.0"
] | 1 | 2021-09-18T12:42:28.000Z | 2021-09-18T12:42:28.000Z | print_results.py | MicImbriani/SkinLesion-Segm-Classif-UNet-FocusNet-ResNet50 | ab9dd8196e6f184336f5b30715635670d3586136 | [
"CC0-1.0"
] | null | null | null | print_results.py | MicImbriani/SkinLesion-Segm-Classif-UNet-FocusNet-ResNet50 | ab9dd8196e6f184336f5b30715635670d3586136 | [
"CC0-1.0"
] | null | null | null | import numpy as np
from keras.optimizers import Adam, SGD
from tensorflow.keras.metrics import AUC
import metrics
from networks.unet_nn import unet
from networks.unet_res_se_nn import unet_res_se
from networks.focus import get_focusnetAlpha
from networks.resnet import get_res
from data_processing.generate_new_dataset... | 29.335366 | 129 | 0.675327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,616 | 0.751611 |
72140b20f916fb997edbec8a00bb1402df3614ca | 9,466 | py | Python | game.py | distortedsignal/bohnanza | dfbcfafbdd07cb924cbbc2adc36db7e51673e546 | [
"Apache-2.0"
] | null | null | null | game.py | distortedsignal/bohnanza | dfbcfafbdd07cb924cbbc2adc36db7e51673e546 | [
"Apache-2.0"
] | null | null | null | game.py | distortedsignal/bohnanza | dfbcfafbdd07cb924cbbc2adc36db7e51673e546 | [
"Apache-2.0"
] | null | null | null | """
An implementation of Bohnanza
@author: David Kelley, 2018
"""
import random
from collections import defaultdict
class Card:
"""Card Object
Name and point thresholds are the only properties. The point thresholds
are organized the way they are on the card - to get 1 point, you need th
number of... | 34.421818 | 88 | 0.555145 | 9,299 | 0.982358 | 0 | 0 | 0 | 0 | 0 | 0 | 2,132 | 0.225227 |
72155749ca290c85d0fa365110369fcce2862271 | 1,872 | py | Python | pytype/tests/test_calls.py | JelleZijlstra/pytype | 962a0ebc05bd24dea172381b2bedcc547ba53dd5 | [
"Apache-2.0"
] | 11 | 2017-02-12T12:19:50.000Z | 2022-03-06T08:56:48.000Z | pytype/tests/test_calls.py | JelleZijlstra/pytype | 962a0ebc05bd24dea172381b2bedcc547ba53dd5 | [
"Apache-2.0"
] | null | null | null | pytype/tests/test_calls.py | JelleZijlstra/pytype | 962a0ebc05bd24dea172381b2bedcc547ba53dd5 | [
"Apache-2.0"
] | 2 | 2017-06-27T14:41:57.000Z | 2021-12-05T11:27:33.000Z | """Tests for calling other functions, and the corresponding checks."""
from pytype import utils
from pytype.tests import test_inference
class CallsTest(test_inference.InferenceTest):
"""Tests for checking function calls."""
def testOptional(self):
with utils.Tempdir() as d:
d.create_file("mod.pyi", "... | 26.742857 | 73 | 0.553953 | 1,678 | 0.896368 | 0 | 0 | 0 | 0 | 0 | 0 | 818 | 0.436966 |
7216c0aa91d2cb7e990847e2823233ead4e36ab3 | 724 | py | Python | test/test_learning_00.py | autodrive/NAIST_DeepLearning | ac2c0512c43f71ea7df68567c5e24e689ac18aea | [
"Apache-2.0"
] | 1 | 2018-09-26T01:52:35.000Z | 2018-09-26T01:52:35.000Z | test/test_learning_00.py | autodrive/NAIST_DeepLearning | ac2c0512c43f71ea7df68567c5e24e689ac18aea | [
"Apache-2.0"
] | 5 | 2015-12-31T10:56:43.000Z | 2018-11-16T08:57:12.000Z | test/test_learning_00.py | autodrive/NAIST_DeepLearning | ac2c0512c43f71ea7df68567c5e24e689ac18aea | [
"Apache-2.0"
] | 1 | 2018-09-26T01:52:37.000Z | 2018-09-26T01:52:37.000Z | import unittest
import lecture1_code00 as dl
from sklearn.datasets.samples_generator import make_blobs
class TestDeepLearning(unittest.TestCase):
def setUp(self):
self.X, self.Y = make_blobs(n_samples=50, centers=2, random_state=0, cluster_std=0.60)
def tearDown(self):
del self.X
del ... | 27.846154 | 97 | 0.585635 | 618 | 0.853591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7217f6133fa71477eb286daa69250fadb04142e7 | 2,389 | py | Python | edumediaitem/views_manage.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | edumediaitem/views_manage.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | edumediaitem/views_manage.py | shagun30/djambala-2 | 06f14e3dd237d7ebf535c62172cfe238c3934f4d | [
"BSD-3-Clause"
] | null | null | null | #-*-coding: utf-8 -*-
"""
/dms/edumediaitem/views_manage.py
.. enthaelt den View fuer die Management-Ansicht des Medienpaketes
Django content Management System
Hans Rauch
hans.rauch@gmx.net
Die Programme des dms-Systems koennen frei genutzt und den spezifischen
Beduerfnissen entsprechend angepasst werden.
... | 38.532258 | 95 | 0.577648 | 0 | 0 | 0 | 0 | 1,654 | 0.691472 | 0 | 0 | 1,001 | 0.418478 |
721813c43ddcb76146e7ed608cacf427665451b5 | 414 | py | Python | crop_yield_prediction/models/deep_gaussian_process/__init__.py | facebookresearch/Context-Aware-Representation-Crop-Yield-Prediction | 9c29459e9521303f40d9d6aaa938da0c23ab4ad8 | [
"MIT"
] | 12 | 2020-09-17T21:55:18.000Z | 2022-01-14T21:05:23.000Z | crop_yield_prediction/models/deep_gaussian_process/__init__.py | hulaba/Context-Aware-Representation-Crop-Yield-Prediction | 9c29459e9521303f40d9d6aaa938da0c23ab4ad8 | [
"MIT"
] | null | null | null | crop_yield_prediction/models/deep_gaussian_process/__init__.py | hulaba/Context-Aware-Representation-Crop-Yield-Prediction | 9c29459e9521303f40d9d6aaa938da0c23ab4ad8 | [
"MIT"
] | 5 | 2020-10-10T10:18:14.000Z | 2021-12-21T07:36:27.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from .feature_engineering import get_features_for_deep_gaussian
from .convnet import ConvModel
from .rnn import RNNModel... | 29.571429 | 65 | 0.748792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.596618 |
7218bf5a5c0b747c4d1438e666c01d7117d13c58 | 3,546 | py | Python | projector_server/projects/views.py | changyang-liu/Projector | 4924400f54e0ce823fd488f9cfd0f7e52d2df55f | [
"MIT"
] | null | null | null | projector_server/projects/views.py | changyang-liu/Projector | 4924400f54e0ce823fd488f9cfd0f7e52d2df55f | [
"MIT"
] | 2 | 2021-06-10T19:12:07.000Z | 2021-09-22T19:00:50.000Z | projector_server/projects/views.py | CS97-Projector/Projector | 4924400f54e0ce823fd488f9cfd0f7e52d2df55f | [
"MIT"
] | null | null | null | from django.http import HttpResponse, JsonResponse, Http404
from django.core.exceptions import PermissionDenied
from rest_framework.parsers import JSONParser, FormParser, MultiPartParser
from rest_framework.permissions import IsAuthenticatedOrReadOnly
from rest_framework import generics
from rest_framework.response im... | 38.129032 | 86 | 0.683305 | 3,019 | 0.851382 | 0 | 0 | 0 | 0 | 0 | 0 | 636 | 0.179357 |
721a5ce052e7d21ea063652b0a161c21042f7f06 | 1,089 | py | Python | tests/test_muduapiclient.py | hanqingliu/mudu-api-python-client | 92541df27a518dad5312b39749dfbb8bd471a6b8 | [
"Apache-2.0"
] | null | null | null | tests/test_muduapiclient.py | hanqingliu/mudu-api-python-client | 92541df27a518dad5312b39749dfbb8bd471a6b8 | [
"Apache-2.0"
] | null | null | null | tests/test_muduapiclient.py | hanqingliu/mudu-api-python-client | 92541df27a518dad5312b39749dfbb8bd471a6b8 | [
"Apache-2.0"
] | null | null | null | import ddt
import mock
from unittest import TestCase
from muduapiclient.client import MuduApiClient, gen_signed_params
import time
@ddt.ddt
class MuduApiClientTests(TestCase):
@ddt.unpack
@ddt.data(
('ACCESS_KEY', 'SECRET_KEY', {'page':1, 'live_status':2}),
)
def test_gen_signed_params(self, a... | 33 | 91 | 0.662994 | 947 | 0.869605 | 0 | 0 | 956 | 0.87787 | 0 | 0 | 253 | 0.232323 |
721b25bd54ec37339248810e92f0fd66777d24b1 | 586 | py | Python | Projectreview/Projectreview/urls.py | bestgunman/Gitwaxingproduct | 44c5fdd57aaa87765929e12a828d1cd17cfbbc0d | [
"MIT"
] | 1 | 2017-01-30T07:02:51.000Z | 2017-01-30T07:02:51.000Z | Projectreview/Projectreview/urls.py | bestgunman/Gitwaxingproduct | 44c5fdd57aaa87765929e12a828d1cd17cfbbc0d | [
"MIT"
] | null | null | null | Projectreview/Projectreview/urls.py | bestgunman/Gitwaxingproduct | 44c5fdd57aaa87765929e12a828d1cd17cfbbc0d | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from django.contrib import admin
from django.conf import settings
from django.conf.urls.static import static
from productapp.views import product_list
from reviewapp.views import index
urlpatterns = [
url(r'^$', index, name='index'),
url(r'^admin/', admin.site.urls),
... | 30.842105 | 61 | 0.711604 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.182594 |
721e9bba1e7ea66054b20c27b7571b65855aeaa1 | 5,970 | py | Python | ttt.py | YukkuriC/PyTicTacToe | c38b330faeb956d82b401e5863c4982f725e5dab | [
"MIT"
] | null | null | null | ttt.py | YukkuriC/PyTicTacToe | c38b330faeb956d82b401e5863c4982f725e5dab | [
"MIT"
] | null | null | null | ttt.py | YukkuriC/PyTicTacToe | c38b330faeb956d82b401e5863c4982f725e5dab | [
"MIT"
] | null | null | null | __doc__ = '''
井字棋基础设施
包含棋盘类与单局游戏运行内核
'''
from threading import Thread
from time import process_time
if 'enums':
OK = 0 # 游戏继续
ENDGAME = 1 # 形成三连
DRAW = 2 # 棋盘已满平局
INVALID = -1 # 非法返回值（类型错误/出界）
CONFILCT = -2 # 冲突落子（下于已有棋子位置）
ERROR = -3 # 代码报错
TIMEOUT = -4 # 代码超时
class Board:
""... | 25.512821 | 78 | 0.469514 | 6,440 | 0.915553 | 0 | 0 | 931 | 0.132357 | 0 | 0 | 2,595 | 0.368922 |
721ec82c86e8517afd6fcd583254496b9ad3500f | 400 | py | Python | cursoemvideo/ex008.py | rafaelsantosmg/cev_python3 | 2fa2561b46409bebbd6a2020c60aa8f946fe6244 | [
"MIT"
] | 1 | 2021-03-22T03:08:41.000Z | 2021-03-22T03:08:41.000Z | cursoemvideo/ex008.py | rafaelsantosmg/cev_python3 | 2fa2561b46409bebbd6a2020c60aa8f946fe6244 | [
"MIT"
] | null | null | null | cursoemvideo/ex008.py | rafaelsantosmg/cev_python3 | 2fa2561b46409bebbd6a2020c60aa8f946fe6244 | [
"MIT"
] | null | null | null | """Escreva um programa que leia o valor em metros e o exiba convertido em centímetros e milímetros"""
from utilidadescev.dado import leia_real
n = leia_real('Digite a metragem: ')
km = n / 1000
hec = n / 100
dam = n / 10
dec = n * 10
cent = n * 100
mil = n * 1000
print(f'{km:.3f}km')
print(f'{hec:.2f}hm')
print(f'{da... | 22.222222 | 101 | 0.6525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.522388 |
72207e110b7ba0434449b56ad831fee21813b6dc | 1,015 | py | Python | Minor Project/Weather GUI/pyowm_helper.py | ComputerScientist-01/Technocolabs-Internship-Project | 3675cc6b9a40a885a29b105ec9b29945a1e4620c | [
"MIT"
] | 4 | 2020-07-08T11:32:29.000Z | 2021-08-05T02:54:02.000Z | Minor Project/Weather GUI/pyowm_helper.py | ComputerScientist-01/Technocolabs-Internship-Project | 3675cc6b9a40a885a29b105ec9b29945a1e4620c | [
"MIT"
] | null | null | null | Minor Project/Weather GUI/pyowm_helper.py | ComputerScientist-01/Technocolabs-Internship-Project | 3675cc6b9a40a885a29b105ec9b29945a1e4620c | [
"MIT"
] | null | null | null | import os
import pyowm
from datetime import datetime
from timezone_conversion import gmt_to_eastern
#API_KEY = os.environ['API_KEY']
owm=pyowm.OWM('0833f103dc7c2924da06db624f74565c')
mgr=owm.weather_manager()
def get_temperature():
days = []
dates = []
temp_min = []
temp_max = []
forecaster = mgr... | 28.194444 | 63 | 0.639409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 112 | 0.110345 |
7221d6876591c7703ef947738f8354cdcf1efa5d | 82,647 | py | Python | MCDR.py | Qltan/MCDR | ad8abfafcbe19dd50f31fc4122faf3eb633be9d5 | [
"MIT"
] | null | null | null | MCDR.py | Qltan/MCDR | ad8abfafcbe19dd50f31fc4122faf3eb633be9d5 | [
"MIT"
] | null | null | null | MCDR.py | Qltan/MCDR | ad8abfafcbe19dd50f31fc4122faf3eb633be9d5 | [
"MIT"
] | null | null | null | import copy
import datetime
import json
import math
import multiprocessing
import numpy as np
import os
import pandas as pd
import pydotplus
import random
import re
import time
from math import *
from sklearn import metrics
_CLUSTER_DATA = './bike_sharing_data/mydata'
RATEDATA = './bike_sharing_data/my... | 42.77795 | 121 | 0.527799 | 21,888 | 0.264837 | 0 | 0 | 0 | 0 | 0 | 0 | 7,757 | 0.093857 |
7222707469c1717bc369a16b35dc8703f4ba96c7 | 4,692 | py | Python | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Components/Energy/Storages/Batteries/Constant_Mass/Lithium_Ion_LiFePO4_18650.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Components/Energy/Storages/Batteries/Constant_Mass/Lithium_Ion_LiFePO4_18650.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | SUAVE/SUAVE-2.5.0/trunk/SUAVE/Components/Energy/Storages/Batteries/Constant_Mass/Lithium_Ion_LiFePO4_18650.py | Vinicius-Tanigawa/Undergraduate-Research-Project | e92372f07882484b127d7affe305eeec2238b8a9 | [
"MIT"
] | null | null | null | ## @ingroup Components-Energy-Storages-Batteries-Constant_Mass
# Lithium_Ion_LiFePO4_18650.py
#
# Created: Feb 2020, M. Clarke
# Modified: Sep 2021, R. Erhard
# ----------------------------------------------------------------------
# Imports
# ----------------------------------------------------------------------
... | 53.931034 | 136 | 0.449915 | 4,187 | 0.89142 | 0 | 0 | 0 | 0 | 0 | 0 | 1,953 | 0.415797 |
7222d418de71e1a6408735de5ac964a29e9e3865 | 83,182 | py | Python | motor/__init__.py | globocom/motor | a1c91ab7b223bb1ada742605e2e8d11a39fe5f1e | [
"Apache-2.0"
] | null | null | null | motor/__init__.py | globocom/motor | a1c91ab7b223bb1ada742605e2e8d11a39fe5f1e | [
"Apache-2.0"
] | null | null | null | motor/__init__.py | globocom/motor | a1c91ab7b223bb1ada742605e2e8d11a39fe5f1e | [
"Apache-2.0"
] | null | null | null | # Copyright 2011-2012 10gen, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 36.936945 | 118 | 0.608112 | 73,020 | 0.877834 | 4,509 | 0.054206 | 13,003 | 0.15632 | 0 | 0 | 36,141 | 0.434481 |
72230a4712ff2722d5fd895c22c3d235aabfdf44 | 3,544 | py | Python | del_dupli_in_fasta.py | ba1/BioParsing | 8a0257d4765a7bc86fef7688762abbeaaf3cef07 | [
"MIT"
] | 1 | 2017-06-19T15:15:26.000Z | 2017-06-19T15:15:26.000Z | del_dupli_in_fasta.py | ba1/BioParsing | 8a0257d4765a7bc86fef7688762abbeaaf3cef07 | [
"MIT"
] | null | null | null | del_dupli_in_fasta.py | ba1/BioParsing | 8a0257d4765a7bc86fef7688762abbeaaf3cef07 | [
"MIT"
] | null | null | null | '''
Created on Oct 20, 2015
@author: bardya
'''
import os
import argparse
from Bio import SeqIO
def parse_args():
parser = argparse.ArgumentParser(description='Delete all duplicate entries (header+sequence) in fasta. If only sequence identical, add "| duplicate" to header.')
parser.add_argument('-i', des... | 35.79798 | 165 | 0.615406 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,285 | 0.362585 |
7224268eb003eeb3fc96967b78416eccf0509110 | 491 | py | Python | lclpy/aidfunc/logging.py | nobody1570/lspy | 1cf6efbafbbf8ddb54ba7a875e82c562f010edd1 | [
"MIT"
] | 3 | 2021-11-27T22:11:38.000Z | 2022-02-10T11:42:06.000Z | lclpy/aidfunc/logging.py | nobody1570/lspy | 1cf6efbafbbf8ddb54ba7a875e82c562f010edd1 | [
"MIT"
] | null | null | null | lclpy/aidfunc/logging.py | nobody1570/lspy | 1cf6efbafbbf8ddb54ba7a875e82c562f010edd1 | [
"MIT"
] | null | null | null |
def log_improvement(value):
"""function to log improvements to the command line.
Parameters
----------
value : int or float
The value for the improvement
"""
print("Improvement : " + str(value))
def log_passed_worse(value):
"""function to log the passing of worse solutions... | 18.185185 | 74 | 0.592668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 368 | 0.749491 |
72244921b06692f1b6e6b261aabc73be9e8ccb0e | 897 | py | Python | tests/test_as_class_methods.py | pokidovea/immobilus | 42f115a13b4aa060b7ed186e81fe56e1a07c4b2d | [
"Apache-2.0"
] | 13 | 2016-11-26T16:13:11.000Z | 2021-12-21T11:10:50.000Z | tests/test_as_class_methods.py | pokidovea/immobilus | 42f115a13b4aa060b7ed186e81fe56e1a07c4b2d | [
"Apache-2.0"
] | 20 | 2017-03-06T00:50:22.000Z | 2019-08-26T20:12:39.000Z | tests/test_as_class_methods.py | pokidovea/immobilus | 42f115a13b4aa060b7ed186e81fe56e1a07c4b2d | [
"Apache-2.0"
] | 6 | 2017-08-28T07:23:54.000Z | 2021-12-03T13:03:50.000Z | # https://github.com/pokidovea/immobilus/issues/30
from immobilus import immobilus # noqa
from immobilus.logic import fake_time, fake_localtime, fake_gmtime, fake_strftime, fake_mktime
from datetime import datetime
class SomeClass(object):
method = None
def test_fake_time():
SomeClass.method = fake_time
... | 18.6875 | 94 | 0.723523 | 42 | 0.046823 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0.070234 |
722517ddb7cf57ba0cdaeeaa839501f03c9155b4 | 322 | py | Python | plotter/plotter.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | plotter/plotter.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | plotter/plotter.py | kalinkinisaac/modular | 301d26ad222a5ef3278aaf251908e0a8537bb58f | [
"MIT"
] | null | null | null | import abc
class Plotter(abc.ABC):
def __init__(self, ax=None, bokeh_fig=None):
if not ax and not bokeh_fig:
raise ValueError('ax or bokeh_fig should be provided.')
self._ax = ax
self._bokeh_fig = bokeh_fig
def plot(self, *args, **kwargs):
raise NotImplementedErro... | 23 | 67 | 0.63354 | 308 | 0.956522 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.114907 |
72279efb6ba56531335b2f093691a4196e8f4923 | 2,531 | py | Python | ardupilot/Tools/autotest/param_metadata/wikiemit.py | quadrotor-IITKgp/emulate_GPS | 3c888d5b27b81fb17e74d995370f64bdb110fb65 | [
"MIT"
] | 1 | 2021-07-17T11:37:16.000Z | 2021-07-17T11:37:16.000Z | ardupilot/Tools/autotest/param_metadata/wikiemit.py | arl-kgp/emulate_GPS | 3c888d5b27b81fb17e74d995370f64bdb110fb65 | [
"MIT"
] | null | null | null | ardupilot/Tools/autotest/param_metadata/wikiemit.py | arl-kgp/emulate_GPS | 3c888d5b27b81fb17e74d995370f64bdb110fb65 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import re
from param import *
from emit import Emit
# Emit docs in a form acceptable to the APM wiki site
class WikiEmit(Emit):
def __init__(self):
wiki_fname = 'Parameters.wiki'
self.f = open(wiki_fname, mode='w')
preamble = '''#summary Dynamically generated lis... | 34.671233 | 121 | 0.468589 | 2,393 | 0.945476 | 0 | 0 | 0 | 0 | 0 | 0 | 646 | 0.255235 |
722ad974ef9283199399d93bbd17a334c7d31249 | 1,038 | py | Python | master.py | iAzurel/thepicturesorter | 21a3aee26adcfca0838db63be1434f7c49cd9548 | [
"MIT"
] | null | null | null | master.py | iAzurel/thepicturesorter | 21a3aee26adcfca0838db63be1434f7c49cd9548 | [
"MIT"
] | null | null | null | master.py | iAzurel/thepicturesorter | 21a3aee26adcfca0838db63be1434f7c49cd9548 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from PIL import Image
import os, os.path
import cv2
import sys
# Detect faces, then returns number of faces.
def detect_face(image_path, face_cascade):
img = cv2.imread(image_path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# Change the values based on needs.
faces = face_cascade.detect... | 23.590909 | 76 | 0.716763 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 299 | 0.288054 |
722c1e45a1768734b80ecc9c4958f9182d017de1 | 1,241 | py | Python | src/si/supervised/Ensemble.py | pg42862/Sistemas_Inteligentes_para_a_MBIONF | 5dd5b487da5b3c6a0989274598c911cc639138a3 | [
"Apache-2.0"
] | null | null | null | src/si/supervised/Ensemble.py | pg42862/Sistemas_Inteligentes_para_a_MBIONF | 5dd5b487da5b3c6a0989274598c911cc639138a3 | [
"Apache-2.0"
] | null | null | null | src/si/supervised/Ensemble.py | pg42862/Sistemas_Inteligentes_para_a_MBIONF | 5dd5b487da5b3c6a0989274598c911cc639138a3 | [
"Apache-2.0"
] | 1 | 2021-11-15T16:15:50.000Z | 2021-11-15T16:15:50.000Z | from.Model import Model
import numpy as np
def majority(values):
return max(set(values), key=values.count)#melhor valor
def average(values):
return sum(values)/len(values)#ou a media
class Ensemble(Model):
def __init__(self, models, fvote, score):
super(Ensemble, self).__init__()
self.m... | 32.657895 | 140 | 0.65834 | 1,044 | 0.841257 | 0 | 0 | 0 | 0 | 0 | 0 | 292 | 0.235294 |
722cd36e985871c8a2f5b1f558365071a7104a73 | 11,915 | py | Python | pygto900.py | marissakotze/timDIMM | dde00a3bb6ca7c3d9b71e24f9363350a0e2a323f | [
"BSD-3-Clause"
] | 1 | 2021-06-06T15:26:36.000Z | 2021-06-06T15:26:36.000Z | pygto900.py | marissakotze/timDIMM | dde00a3bb6ca7c3d9b71e24f9363350a0e2a323f | [
"BSD-3-Clause"
] | null | null | null | pygto900.py | marissakotze/timDIMM | dde00a3bb6ca7c3d9b71e24f9363350a0e2a323f | [
"BSD-3-Clause"
] | 3 | 2015-07-29T15:16:35.000Z | 2017-12-01T13:02:36.000Z | #!/usr/bin/env python
"""pygto900 contains commands to interface with a astro-physics gto900 mount
"""
import serial
import io
import sys
import string
import math
import time
from binutils import *
from datetime import datetime
from astropy.coordinates import Angle
def airmass(a):
ang = Angle(90, unit='degree'... | 24.56701 | 130 | 0.544943 | 8,531 | 0.715988 | 0 | 0 | 0 | 0 | 0 | 0 | 3,834 | 0.321779 |
7230fd2e2774f3460096d023d321613a2a314e63 | 2,850 | py | Python | webscripts/plotlygraphs.py | KathrynDH/DataDashboard | 1bf61497480f778a1c7cc9ce9fc7fb48b3067606 | [
"MIT"
] | null | null | null | webscripts/plotlygraphs.py | KathrynDH/DataDashboard | 1bf61497480f778a1c7cc9ce9fc7fb48b3067606 | [
"MIT"
] | null | null | null | webscripts/plotlygraphs.py | KathrynDH/DataDashboard | 1bf61497480f778a1c7cc9ce9fc7fb48b3067606 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Jun 23 15:56:55 2021
@author: Kathryn Haske
Create plotly graphs for webpage
"""
import pandas as pd
import plotly.graph_objs as go
def line_graph(x_list, df, name_col, y_cols, chart_title, x_label, y_label):
"""
Function to create plotly line graph
Args:
... | 27.403846 | 76 | 0.567018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,431 | 0.502105 |
72314feeba462045a5c4c66db5b70dc7ce89e3a1 | 2,505 | py | Python | jsl/experimental/seql/agents/bfgs_agent.py | AdrienCorenflos/JSL | 8a3ba27179a2bd90207214fccb81df884b05c3d0 | [
"MIT"
] | null | null | null | jsl/experimental/seql/agents/bfgs_agent.py | AdrienCorenflos/JSL | 8a3ba27179a2bd90207214fccb81df884b05c3d0 | [
"MIT"
] | null | null | null | jsl/experimental/seql/agents/bfgs_agent.py | AdrienCorenflos/JSL | 8a3ba27179a2bd90207214fccb81df884b05c3d0 | [
"MIT"
] | null | null | null | import jax.numpy as jnp
from jax import vmap
from jax.scipy.optimize import minimize
import chex
import typing_extensions
from typing import Any, NamedTuple
import warnings
from jsl.experimental.seql.agents.agent_utils import Memory
from jsl.experimental.seql.agents.base import Agent
from jsl.experimental.seql.util... | 26.09375 | 68 | 0.578842 | 744 | 0.297006 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.103393 |
72320fd783db7905693b184e50b586992cf4d02b | 2,379 | py | Python | abusech/urlhaus.py | threatlead/abusech | 6c62f51f773cb17ac6943d87fb697ce1e9dae049 | [
"MIT"
] | null | null | null | abusech/urlhaus.py | threatlead/abusech | 6c62f51f773cb17ac6943d87fb697ce1e9dae049 | [
"MIT"
] | null | null | null | abusech/urlhaus.py | threatlead/abusech | 6c62f51f773cb17ac6943d87fb697ce1e9dae049 | [
"MIT"
] | null | null | null | from .abusech import AbuseCh
from collections import namedtuple
from datetime import datetime
class UrlHaus(AbuseCh):
base_url = 'https://urlhaus.abuse.ch'
urls = namedtuple('UrlHaus', ['id', 'date_added', 'url', 'url_status', 'threat', 'tags', 'urlhaus_link', 'reporter'])
payloads = namedtuple('Payload',... | 43.254545 | 121 | 0.584279 | 2,282 | 0.959227 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.133249 |
7232736c521560e15f88e41ebeb5b1e597203059 | 114 | py | Python | ufmt/tests/__init__.py | pmeier/ufmt | 29385731d3399d065968921b7502d321acf6faef | [
"MIT"
] | null | null | null | ufmt/tests/__init__.py | pmeier/ufmt | 29385731d3399d065968921b7502d321acf6faef | [
"MIT"
] | null | null | null | ufmt/tests/__init__.py | pmeier/ufmt | 29385731d3399d065968921b7502d321acf6faef | [
"MIT"
] | null | null | null | # Copyright 2021 John Reese
# Licensed under the MIT license
from .cli import CliTest
from .core import CoreTest
| 19 | 32 | 0.789474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.517544 |
7233257f2eb3efc2be88861adf3e83bb76f78498 | 442 | py | Python | tests/components/eafm/conftest.py | erogleva/core | 994ae09f69afe772150a698953c0d7386a745de2 | [
"Apache-2.0"
] | 2 | 2021-05-19T19:05:08.000Z | 2021-06-06T06:51:05.000Z | tests/components/eafm/conftest.py | erogleva/core | 994ae09f69afe772150a698953c0d7386a745de2 | [
"Apache-2.0"
] | 56 | 2020-08-03T07:30:54.000Z | 2022-03-31T06:02:04.000Z | tests/components/eafm/conftest.py | erogleva/core | 994ae09f69afe772150a698953c0d7386a745de2 | [
"Apache-2.0"
] | 2 | 2020-12-25T16:31:22.000Z | 2020-12-30T20:53:56.000Z | """eafm fixtures."""
import pytest
from tests.async_mock import patch
@pytest.fixture()
def mock_get_stations():
"""Mock aioeafm.get_stations."""
with patch("homeassistant.components.eafm.config_flow.get_stations") as patched:
yield patched
@pytest.fixture()
def mock_get_station():
"""Mock aio... | 22.1 | 84 | 0.719457 | 0 | 0 | 328 | 0.742081 | 364 | 0.823529 | 0 | 0 | 189 | 0.427602 |
7233678cd98a3bf61296f7c1aa2006b01024a6ac | 5,894 | py | Python | thorbanks/checks.py | Jyrno42/django-thorbanks | a8e2daf20b981aecb0c8ee76b0474b6c8e2baad1 | [
"BSD-3-Clause"
] | 6 | 2015-06-15T12:47:05.000Z | 2019-04-24T01:32:12.000Z | thorbanks/checks.py | Jyrno42/django-thorbanks | a8e2daf20b981aecb0c8ee76b0474b6c8e2baad1 | [
"BSD-3-Clause"
] | 13 | 2015-12-23T14:29:26.000Z | 2021-02-18T18:35:56.000Z | thorbanks/checks.py | Jyrno42/django-thorbanks | a8e2daf20b981aecb0c8ee76b0474b6c8e2baad1 | [
"BSD-3-Clause"
] | 3 | 2016-08-08T10:35:39.000Z | 2020-12-29T23:10:55.000Z | import os
from django.conf import settings
from django.core.checks import Error, register
from thorbanks.settings import configure, parse_banklinks
@register
def check_model_settings(app_configs, **kwargs):
issues = []
manual_models = getattr(settings, "THORBANKS_MANUAL_MODELS", None)
if manual_models... | 35.293413 | 119 | 0.449779 | 0 | 0 | 0 | 0 | 5,738 | 0.973532 | 0 | 0 | 1,868 | 0.316932 |
72349a7b999fcd7724c457b5d3ee54f95ec82969 | 36,028 | py | Python | otk/trains.py | draustin/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 7 | 2020-05-17T14:26:42.000Z | 2022-02-14T04:52:54.000Z | otk/trains.py | uamhforever/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 17 | 2020-04-10T22:50:00.000Z | 2020-06-18T04:54:19.000Z | otk/trains.py | uamhforever/otk | c6e91423ec79b85b380ee9385f6d27c91f92503d | [
"MIT"
] | 1 | 2022-02-14T04:52:45.000Z | 2022-02-14T04:52:45.000Z | """Defining and analysing axisymmetric optical systems."""
import itertools
from functools import singledispatch
from dataclasses import dataclass
from abc import ABC, abstractmethod
from typing import Sequence, Tuple, Mapping
import numpy as np
import scipy.optimize
from . import abcd, paraxial, functions, ri
from .fu... | 39.634763 | 199 | 0.601865 | 34,771 | 0.96511 | 0 | 0 | 26,073 | 0.723687 | 0 | 0 | 10,545 | 0.292689 |
723547959ebc4a91f17440d870c4a23f152e86d1 | 4,705 | py | Python | rm_protection/rm_p.py | https-waldoww90-wadewilson-com/rm-protection | 4dcc678fa687373fb4439c5c4409f7649e653084 | [
"MIT"
] | 490 | 2017-02-03T14:15:50.000Z | 2022-03-31T02:57:20.000Z | rm_protection/rm_p.py | https-waldoww90-wadewilson-com/rm-protection | 4dcc678fa687373fb4439c5c4409f7649e653084 | [
"MIT"
] | 8 | 2017-02-03T16:13:53.000Z | 2017-05-28T05:20:45.000Z | rm_protection/rm_p.py | alanzchen/rm-protection | 4dcc678fa687373fb4439c5c4409f7649e653084 | [
"MIT"
] | 41 | 2017-02-04T15:13:26.000Z | 2021-12-19T08:58:38.000Z | from sys import argv, exit
from os.path import expanduser as expu, expandvars as expv
from os.path import basename, dirname, abspath, isdir, exists
from subprocess import Popen, PIPE
from builtins import input
from rm_protection.config import Config
c = Config()
evaledpaths = []
def pprint(msg):
global c
pr... | 30.953947 | 120 | 0.530287 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.10712 |
72381b6de058125b33932e8f4cd988e19b104ff7 | 6,856 | py | Python | src/text_normalizer/tokenization/_tokenize.py | arkataev/text_normalizer | a99326e31012157980d014c9730ac94bd1d18c1d | [
"MIT"
] | null | null | null | src/text_normalizer/tokenization/_tokenize.py | arkataev/text_normalizer | a99326e31012157980d014c9730ac94bd1d18c1d | [
"MIT"
] | null | null | null | src/text_normalizer/tokenization/_tokenize.py | arkataev/text_normalizer | a99326e31012157980d014c9730ac94bd1d18c1d | [
"MIT"
] | null | null | null | """Модуль для создания и работы с токенами"""
import logging
import re
import string
from enum import IntEnum
from functools import lru_cache
from typing import Tuple, Iterator
from nltk.corpus import stopwords
from nltk.tokenize import ToktokTokenizer
from nltk.tokenize.api import TokenizerI
from ..config import Reg... | 27.534137 | 107 | 0.641774 | 3,939 | 0.497411 | 898 | 0.113398 | 165 | 0.020836 | 0 | 0 | 4,001 | 0.505241 |
723871eadc62b9694db68243f51e537122c22e01 | 299 | py | Python | tests/data/test_to_array.py | maki-nage/rxsci | 64c9956752cbdd4c65aa9f054b6b28318a056625 | [
"MIT"
] | 3 | 2021-05-03T13:40:46.000Z | 2022-03-06T07:59:30.000Z | tests/data/test_to_array.py | maki-nage/rxsci | 64c9956752cbdd4c65aa9f054b6b28318a056625 | [
"MIT"
] | 9 | 2020-10-22T21:08:10.000Z | 2021-08-05T09:01:26.000Z | tests/data/test_to_array.py | maki-nage/rxsci | 64c9956752cbdd4c65aa9f054b6b28318a056625 | [
"MIT"
] | 2 | 2021-01-05T16:48:54.000Z | 2021-08-07T12:51:01.000Z | from array import array
import rx
import rxsci as rs
def test_to_array():
actual_result = []
source = [1, 2, 3, 4]
rx.from_(source).pipe(
rs.data.to_array('d')
).subscribe(
on_next=actual_result.append
)
assert actual_result == [array('d', [1, 2, 3, 4])]
| 17.588235 | 54 | 0.595318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.020067 |
7239365caa1436583482800c75a7cb1d2a4fbe35 | 18,942 | py | Python | pi/los.py | Coding-Badly/Little-Oven | 3d1178f495aea1180e25bddbb4f139d8e37e6a65 | [
"Apache-2.0"
] | null | null | null | pi/los.py | Coding-Badly/Little-Oven | 3d1178f495aea1180e25bddbb4f139d8e37e6a65 | [
"Apache-2.0"
] | null | null | null | pi/los.py | Coding-Badly/Little-Oven | 3d1178f495aea1180e25bddbb4f139d8e37e6a65 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""=============================================================================
los for Little-Oven. los (Little Oven Setup) prepares a Raspberry Pi for
Little-Oven development. This module does the actual work. los (no
extension) is a bash script that creates a service that runs this... | 50.244032 | 184 | 0.658853 | 1,208 | 0.063774 | 0 | 0 | 0 | 0 | 0 | 0 | 8,598 | 0.453912 |