hexsha stringlengths 40 40 | size int64 6 782k | ext stringclasses 7
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 237 | max_stars_repo_name stringlengths 6 72 | max_stars_repo_head_hexsha stringlengths 40 40 | max_stars_repo_licenses list | max_stars_count int64 1 53k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 184 | max_issues_repo_name stringlengths 6 72 | max_issues_repo_head_hexsha stringlengths 40 40 | max_issues_repo_licenses list | max_issues_count int64 1 27.1k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 184 | max_forks_repo_name stringlengths 6 72 | max_forks_repo_head_hexsha stringlengths 40 40 | max_forks_repo_licenses list | max_forks_count int64 1 12.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 6 782k | avg_line_length float64 2.75 664k | max_line_length int64 5 782k | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16d802cc9d9b55f67f0d07bbbab033dc07275b27 | 237 | py | Python | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/01_function_with_argument.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | null | null | null | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/01_function_with_argument.py | Apop85/Scripts | e71e1c18539e67543e3509c424c7f2d6528da654 | [
"MIT"
] | 6 | 2020-12-24T15:15:09.000Z | 2022-01-13T01:58:35.000Z | Python/Buch_ATBS/Teil_1/Kapitel_01_bis_04/01_function_with_argument.py | Apop85/Scripts | 1d8dad316c55e1f1343526eac9e4b3d0909e4873 | [
"MIT"
] | null | null | null | # Einleitung mit Funktion und Argument
def test(name, age):
print('Hallo', name + '. Bist du wirklich schon', str(age), 'Jahre alt?')
print('Wie ist dein Name?')
inp1=input()
print('Wie alt bist du?')
inp2=input()
test(inp1, inp2)
| 21.545455 | 77 | 0.670886 |
4c090c1f1f01db76103639b4864cdd96a7cede2e | 1,085 | py | Python | leetcode/288-Unique-Word-Abbreviation/UniqueWordAbbr_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2017-05-18T06:11:02.000Z | 2017-05-18T06:11:02.000Z | leetcode/288-Unique-Word-Abbreviation/UniqueWordAbbr_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/288-Unique-Word-Abbreviation/UniqueWordAbbr_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class ValidWordAbbr(object):
def __init__(self, dictionary):
"""
:type dictionary: List[str]
"""
wordset = set()
abbr2cnt = {}
for word in dictionary:
if len(word) > 2:
abbr = word[0] + str(len(word) - 2) + word[-1]
else:
... | 26.463415 | 68 | 0.489401 |
4c267c9c3b57817afd565c41fd5092b3f07769b6 | 328 | py | Python | exercises/zh/test_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/test_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/test_01_02_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
import spacy.tokens
import spacy.lang.de
assert isinstance(
nlp, spacy.lang.de.German
), "nlp应该是德文类的一个实例。"
assert isinstance(
doc, spacy.tokens.Doc
), "你用nlp实例处理过文本并且创建了一个doc吗？"
assert "print(doc.text)" in __solution__, "你打印doc.text了吗？"
__msg__.good("Sehr gu... | 23.428571 | 62 | 0.637195 |
d5cb38faaecd0015ce5ee8540c33801279edd1ff | 704 | py | Python | page_objects/login.py | WETESTERR/Mehwish-Peter | 1b6beb5352683243dfd5667e0749d07ce119254f | [
"MIT"
] | null | null | null | page_objects/login.py | WETESTERR/Mehwish-Peter | 1b6beb5352683243dfd5667e0749d07ce119254f | [
"MIT"
] | 1 | 2020-06-23T07:25:39.000Z | 2020-06-23T07:25:39.000Z | page_objects/login.py | WETESTERR/Mehwish-Peter | 1b6beb5352683243dfd5667e0749d07ce119254f | [
"MIT"
] | null | null | null |
from selenium.webdriver.common.by import By
class Login:
def __init__(self, driver):
self.driver = driver
email_textbox = "email"
password_textbox = "password"
signIn_tab = driver.find_element_by_class_name("login").click()
submit = driver.find_element_by_id("SubmitLogin")
logout_bu... | 24.275862 | 82 | 0.705966 |
e6d856898e960d7f4bd5da5c288173333ae07ad0 | 2,617 | py | Python | research/cv/SPPNet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/SPPNet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/SPPNet/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # 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... | 45.912281 | 119 | 0.71303 |
e6fef5c5f40b1f33e4fd68eac1554330ee8f8c75 | 249 | py | Python | exercises/en/exc_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/en/exc_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/en/exc_01_03_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | # Import spaCy and create the English nlp object
import ____
nlp = ____
# Process the text
doc = ____("I like tree kangaroos and narwhals.")
# Select the first token
first_token = doc[____]
# Print the first token's text
print(first_token.____)
| 17.785714 | 49 | 0.746988 |
fc3d4090350cdf87d21e3b79df30409d3656d930 | 28,556 | py | Python | tests/test_objectives.py | guruvamsi-policharla/noisy-krotov | c5397d9dbde68d06f17e88620d6a6b2c74664841 | [
"BSD-3-Clause"
] | 49 | 2018-11-07T06:43:33.000Z | 2022-03-18T20:53:06.000Z | tests/test_objectives.py | guruvamsi-policharla/noisy-krotov | c5397d9dbde68d06f17e88620d6a6b2c74664841 | [
"BSD-3-Clause"
] | 94 | 2018-11-06T20:15:04.000Z | 2022-01-06T09:06:15.000Z | tests/test_objectives.py | qucontrol/krotov | 9f9a22336c433dc3a37637ce8cc8324df4290b46 | [
"BSD-3-Clause"
] | 20 | 2018-11-06T20:03:11.000Z | 2022-03-12T05:29:21.000Z | """Tests for krotov.Objective in isolation"""
import copy
import copyreg
import io
import os
import pickle
from collections import OrderedDict
from itertools import product
import numpy as np
import pytest
import qutip
import scipy
from qutip import identity, ket, sigmam, sigmap, sigmax, sigmay, sigmaz, tensor
import... | 37.475066 | 179 | 0.631076 |
54f055960eb387d4772e10f54392c738a03a7adc | 190 | py | Python | spo/spo/doctype/facharzt_bericht/facharzt_bericht_dashboard.py | libracore/spo | c6617a4624d683e27ee3fde745313c30504f3fd1 | [
"MIT"
] | null | null | null | spo/spo/doctype/facharzt_bericht/facharzt_bericht_dashboard.py | libracore/spo | c6617a4624d683e27ee3fde745313c30504f3fd1 | [
"MIT"
] | 6 | 2019-08-23T18:36:26.000Z | 2019-11-12T13:12:12.000Z | spo/spo/doctype/facharzt_bericht/facharzt_bericht_dashboard.py | libracore/spo | efff6da53a776c4483f06d9ef1acc8a7aa96b28e | [
"MIT"
] | 1 | 2021-08-14T22:22:43.000Z | 2021-08-14T22:22:43.000Z | from frappe import _
def get_data():
return {
'fieldname': 'facharzt_bericht',
'transactions': [
{
'label': _('Referenzen'),
'items': ['SPO Anhang']
}
]
}
| 14.615385 | 35 | 0.531579 |
075babd59857fcff331284c3aa14472dd06a5d10 | 1,887 | py | Python | 0-notes/job-search/Leetcode/08-LongestSemiAlternatingSubString.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Leetcode/08-LongestSemiAlternatingSubString.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 0-notes/job-search/Leetcode/08-LongestSemiAlternatingSubString.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # You are given a string s of length n containing only characters a and b.
# A substring of s called a semi-alternating substring if it does not
# contain three identical consecutive characters.
# Return the length of the longest semi-alternating substring.
# Example 1: Input: "baaabbabbb" | Output: 7
... | 28.590909 | 75 | 0.579226 |
4adbe84bc68a9f22866016f140f56679942c3075 | 487 | py | Python | Licence 1/I11/TP4/ex3.3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I11/TP4/ex3.3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I11/TP4/ex3.3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | liste = [1, 34, 8, 9, 72, -5, 2]
max_1, index_1 = liste[0], 0
max_2, index_2 = liste[], 0
tmp = 0
if max_1 < max_2:
tmp = max_1
max_1 = max_2
max_2 = tmp
i = 0
while i < len(liste):
if liste[i] > max_1:
max_2 = max_1
max_1, index_1 = liste[i], i
elif liste[i] > max_2 and liste[i] !... | 22.136364 | 54 | 0.562628 |
ab1f21176ba0434f65b9661900bb6aa00b313f5e | 59 | py | Python | cs/python/python_general/30-seconds-of-python-code/test/keys_only/keys_only.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 1 | 2020-09-11T14:59:16.000Z | 2020-09-11T14:59:16.000Z | test/keys_only/keys_only.py | quantumahesh/30-seconds-of-python-code | 0a7a85f479106ddecc28bdbb7867c1f6abdc1dd4 | [
"CC0-1.0"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/python/python_general/30-seconds-of-python-code/test/keys_only/keys_only.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | 2 | 2020-08-07T05:38:27.000Z | 2021-11-09T11:54:18.000Z | def keys_only(flat_dict):
return list(flat_dict.keys()) | 29.5 | 33 | 0.745763 |
534a9865e5bfe5df6ed375f053171329e5bc24f7 | 302 | py | Python | ACM Training/2018-07-25 HDU多校第二场/P1006.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 22 | 2018-08-07T06:55:10.000Z | 2021-06-12T02:12:19.000Z | ACM Training/2018-07-25 HDU多校第二场/P1006.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 28 | 2020-03-04T23:47:22.000Z | 2022-02-26T18:50:00.000Z | ACM Training/2018-07-25 HDU多校第二场/P1006.py | Wycers/Codelib | 86d83787aa577b8f2d66b5410e73102411c45e46 | [
"MIT"
] | 4 | 2019-11-09T15:41:26.000Z | 2021-10-10T08:56:57.000Z | from scipy.special import comb, perm
def pow(x):
res = 1
for i in range(1, x + 1):
res = res * 2
return res
n = 3
m = 4
a = 1
b = 2
ans = 0
for i in range(a, n + 1):
for j in range(b, m + 1):
ans += comb(n, i) * comb(m, j) * (2 ** (i * m + j * n - i * j))
print(ans)
| 15.894737 | 71 | 0.466887 |
be7d70793678121a48de2b9a1a07d5db91a971d5 | 87,952 | py | Python | oneflow/python/ops/user_data_ops.py | lenran/oneflow | 7c34e35ad6505bc12b48ce0fafa20322d280b2b1 | [
"Apache-2.0"
] | 2 | 2021-09-10T00:19:49.000Z | 2021-11-16T11:27:20.000Z | oneflow/python/ops/user_data_ops.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | oneflow/python/ops/user_data_ops.py | duijiudanggecl/oneflow | d2096ae14cf847509394a3b717021e2bd1d72f62 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 37.410464 | 347 | 0.607479 |
be9e8fc3a6ab03b08d510a3a59e56c785c1b4e09 | 1,313 | py | Python | mini_challenges/mini_challenge2/src/gen_samples.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 19 | 2017-10-08T03:18:38.000Z | 2020-07-07T02:34:18.000Z | mini_challenges/mini_challenge2/src/gen_samples.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 2 | 2017-10-08T03:15:10.000Z | 2017-10-10T16:10:32.000Z | mini_challenges/mini_challenge2/src/gen_samples.py | AbinMM/PYNQ_Hackathon_2017 | 711c75e8590b02f313295cef712188691690c948 | [
"BSD-3-Clause"
] | 28 | 2017-10-07T23:24:36.000Z | 2022-03-29T08:03:40.000Z | from pynq.overlays.base import BaseOverlay
import numpy as np
import matplotlib.pyplot as plt
import wave
#print("Init overlay")
base = BaseOverlay("base.bit")
pAudio = base.audio
#print("Init audio")
fs = 44100 # sampling rate, Hz, must be integer
duration =1.0/5.0 # in seconds, may be float
f = 440.0 ... | 28.543478 | 79 | 0.677837 |
fe71cfbf25ed5535da5bd00548425a43ac744a94 | 2,212 | py | Python | official/cv/yolov3_darknet53/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/cv/yolov3_darknet53/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/cv/yolov3_darknet53/postprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # 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... | 40.962963 | 119 | 0.65009 |
fea17af81de2cbec133e5c080cfdc00a125278b7 | 1,884 | py | Python | convert.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | 1 | 2021-12-29T10:20:48.000Z | 2021-12-29T10:20:48.000Z | convert.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | null | null | null | convert.py | notaTeapot/SchwurbelTranskipt | d17a8535986ebff8be49ac04e530e303d586beec | [
"MIT"
] | null | null | null | # Unterprogramm zur Konvertierung und Einteilung von .ogg Dateien
# Angelehnt an https://stackoverflow.com/a/62872679
from pydub import AudioSegment
import os
import math
class SplitConvert():
def __init__(self,folder,filename):
self.folder = folder
self.filename = filename
self.filepath = ... | 34.888889 | 81 | 0.58811 |
430fdac8f2d7f53c45281295be387a375d488b33 | 13,913 | py | Python | resources/mechanics_lib/api/component.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 7 | 2016-01-20T02:33:00.000Z | 2021-02-04T04:06:57.000Z | resources/mechanics_lib/api/component.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | null | null | null | resources/mechanics_lib/api/component.py | PRECISE/ROSLab | 2a6a295b71d4c73bc5c6ae2ec0330274afa31d0d | [
"Apache-2.0"
] | 3 | 2016-10-05T07:20:30.000Z | 2017-11-20T10:36:50.000Z | from api.symbolic import Symbol
from drawing import Drawing
import edge
import sys
def getSubcomponentObject(c):
try:
mod = __import__(c, fromlist=[c])
obj = getattr(mod, c)
return obj()
except ImportError:
obj = Component(c + ".yaml")
return obj
class Component:
def __init__(self, yamlFile=... | 31.12528 | 102 | 0.636096 |
4310a108c7bee34612a860592eebf8f32f1f4eb6 | 3,729 | py | Python | marsyas-vamp/marsyas/src/marsyas_python/twosinusoids.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/twosinusoids.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | marsyas-vamp/marsyas/src/marsyas_python/twosinusoids.py | jaouahbi/VampPlugins | 27c2248d1c717417fe4d448cdfb4cb882a8a336a | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from marsyas import *
from marsyas_util import *
print "Some things will be printed, but they only make sense if you read the source code"
# Welcome to the bonus secret honeypot step four of our tutorial!
# By this point, you should have passed through helloworld.py, windowing.py and phone.py.
... | 54.043478 | 130 | 0.755967 |
432de996a10dc1bc1146e6975a515ae9cd13a4ac | 17,570 | py | Python | examples/multimodal/layoutxlm/run_xfun_re.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/multimodal/layoutxlm/run_xfun_re.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/multimodal/layoutxlm/run_xfun_re.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | import sys
import os
import random
import numbers
import logging
import argparse
import paddle
import numpy as np
from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLMForRelationExtraction
from xfun import XFUN
# Todo: delete the following line after the release of v2.2
sys.path.insert(0, "... | 40.765661 | 188 | 0.568127 |
4a4812fa409f23b951bfe4f4d8c5ff491223fc28 | 2,069 | py | Python | tools/pythonpkg/tests/fast/test_result.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 2,816 | 2018-06-26T18:52:52.000Z | 2021-04-06T10:39:15.000Z | tools/pythonpkg/tests/fast/test_result.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 1,310 | 2021-04-06T16:04:52.000Z | 2022-03-31T13:52:53.000Z | tools/pythonpkg/tests/fast/test_result.py | AldoMyrtaj/duckdb | 3aa4978a2ceab8df25e4b20c388bcd7629de73ed | [
"MIT"
] | 270 | 2021-04-09T06:18:28.000Z | 2022-03-31T11:55:37.000Z | import duckdb
import pytest
import datetime
class TestPythonResult(object):
def test_result_closed(self, duckdb_cursor):
connection = duckdb.connect('')
cursor = connection.cursor()
cursor.execute('CREATE TABLE integers (i integer)')
cursor.execute('INSERT INTO integers VALUES (0),(... | 48.116279 | 230 | 0.625423 |
437ef236eb9f0964362b66736b3f274e06645daf | 10,202 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/onyx_l3_interface.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/onyx_l3_interface.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/plugins/modules/onyx_l3_interface.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#
# Copyright: Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | 33.781457 | 111 | 0.613703 |
60fe0e7088a460e7e70a9fc2ed516850ff2d901b | 1,763 | py | Python | my_music_app/my_music_app/web/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | 1 | 2022-03-03T10:16:14.000Z | 2022-03-03T10:16:14.000Z | my_music_app/my_music_app/web/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | my_music_app/my_music_app/web/models.py | trenev/softuni-python-web-basics | 0fcf6b7f3389d06685d40615c376dc4027e772f2 | [
"MIT"
] | null | null | null | from django.core.validators import MinLengthValidator, MinValueValidator
from django.db import models
from my_music_app.web.validators import validate_username_characters
class Profile(models.Model):
USER_NAME_MAX_LENGTH = 15
USER_NAME_MIN_LENGTH = 2
MIN_AGE = 0
username = models.CharField(
... | 22.602564 | 131 | 0.642087 |
71a8955dc05e71a7f9e858543aef761a3dd8b00d | 3,012 | py | Python | tf/clasificador2/_et/lector_entrenador_multi_deep.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | tf/clasificador2/_et/lector_entrenador_multi_deep.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | tf/clasificador2/_et/lector_entrenador_multi_deep.py | alffore/lokroids-python | ac3bbc328140e53ab181034d2e3d5d5d17dc9203 | [
"MIT"
] | null | null | null | # coding=UTF-8
import numpy as np
import matplotlib.pyplot as plt
import os
import cv2
from tqdm import tqdm
import random
import filetype
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D
from ... | 28.415094 | 109 | 0.675963 |
e0fdf11d358bf61bc29cd61188829017c8155b7f | 2,644 | py | Python | test/test_npu/test_network_ops/test_tensor_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-12-02T03:07:35.000Z | 2021-12-02T03:07:35.000Z | test/test_npu/test_network_ops/test_tensor_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | 1 | 2021-11-12T07:23:03.000Z | 2021-11-12T08:28:13.000Z | test/test_npu/test_network_ops/test_tensor_npu.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd
# Copyright (c) 2019, Facebook CORPORATION.
# All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/lice... | 34.789474 | 74 | 0.628215 |
1cb6b39a9f252f9d35a99db8ef522a2eae852cc4 | 6,128 | py | Python | tests/rbac/common/user/create_user_helper_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 75 | 2018-04-06T09:13:34.000Z | 2020-05-18T18:59:47.000Z | tests/rbac/common/user/create_user_helper_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 989 | 2018-04-18T21:01:56.000Z | 2019-10-23T15:37:09.000Z | tests/rbac/common/user/create_user_helper_tests.py | fthornton67/sawtooth-next-directory | 79479afb8d234911c56379bb1d8abf11f28ef86d | [
"Apache-2.0"
] | 72 | 2018-04-13T18:29:12.000Z | 2020-05-29T06:00:33.000Z | # Copyright 2019 Contributors to Hyperledger Sawtooth
#
# 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 ... | 32.42328 | 79 | 0.728296 |
c718dfeda2c1ac9b8391383a9a2e83737cdc16ae | 106 | py | Python | buzzer/_buzzer_callback.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | buzzer/_buzzer_callback.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | buzzer/_buzzer_callback.py | ihrigb/stagebuzzer | dbce1c5fa59a6f22e74d84ccc96d4d1a28a5b680 | [
"Apache-2.0"
] | null | null | null | class BuzzerCallback:
def on_buzz(self, buzzer: str):
pass
def reset(self):
pass
| 15.142857 | 35 | 0.584906 |
c776254b572214d111df474d5513ea61bc4a2a13 | 2,983 | py | Python | chord_rec/harmalysis/inputRN2Chord.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/harmalysis/inputRN2Chord.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | chord_rec/harmalysis/inputRN2Chord.py | TianxueHu/ChordSymbolRec | d64a5be4f4914e6f682cb6d4079d7ba8a6fc2eac | [
"Unlicense",
"MIT"
] | null | null | null | '''
harmalysis - a language for harmonic analysis and roman numerals
Copyright (C) 2020 Nestor Napoles Lopez
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of t... | 37.2875 | 79 | 0.651022 |
c781bcf7c8b4db7f0dac64422aac1103176cf5f9 | 2,230 | py | Python | scripts/generate_shh_publist.py | stschiff/homepage-gatsby | e901472bcc5adba6611646067b8f49932ae86d22 | [
"MIT"
] | null | null | null | scripts/generate_shh_publist.py | stschiff/homepage-gatsby | e901472bcc5adba6611646067b8f49932ae86d22 | [
"MIT"
] | 2 | 2021-03-24T08:42:46.000Z | 2021-10-01T20:44:11.000Z | scripts/generate_shh_publist.py | stschiff/homepage-gatsby | e901472bcc5adba6611646067b8f49932ae86d22 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import bibtexparser
import sys
import json
# from bs4.dammit import EntitySubstitution
month_names = "jan feb mar apr may jun jul aug sep oct nov dec".split()
def month_replace(s):
ret = s
for m in month_names:
search = " " + m
rep = " {" + m + "}"
ret = ret.repla... | 33.283582 | 145 | 0.576682 |
c7cd6d78deeab159c0469413cf76450ae62fefe1 | 1,593 | py | Python | Python/Strings/Minion_game.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Python/Strings/Minion_game.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | Python/Strings/Minion_game.py | vinayvinu500/Hackerrank | e185ae9d3c7dc5cd661761142e436f5df6a3f0f1 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/the-minion-game/problem?isFullScreen=false
import string
s = 'BANANA'
s = 'BAANANAS'
n = len(s)
# Kevin has to make words starting with vowels.
# Stuart has to make words starting with consonants. and Y is also a Consonant
# A player gets +1 point for each occurrence of the su... | 18.102273 | 82 | 0.57941 |
4642162229a95bbe297b4e8b9c69ddc068e1f75d | 4,736 | py | Python | src/onegov/gazette/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gazette/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gazette/upgrade.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Contains upgrade tasks that are executed when the application is being
upgraded on the server. See :class:`onegov.core.upgrade.upgrade_task`.
"""
from onegov.core.orm.types import JSON
from onegov.core.upgrade import upgrade_task
from onegov.gazette.collections.categories import CategoryCollection
from onegov.gaze... | 32.662069 | 75 | 0.673353 |
7350fd4fee9849c7acd2e2af7bdd4be858e5ef00 | 7,438 | py | Python | official/nlp/ernie/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/nlp/ernie/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/nlp/ernie/infer/sdk/main.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # 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... | 37.004975 | 105 | 0.652864 |
b45b1fb5658dbe1c9ae8e688bd77f38dcb5005dc | 544 | py | Python | leetcode/006-ZigZag-Conversion/ZigZagConversion_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/006-ZigZag-Conversion/ZigZagConversion_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/006-ZigZag-Conversion/ZigZagConversion_002.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param {string} s
# @param {integer} numRows
# @return {string}
def convert(self, s, numRows):
if numRows < 2:
return s
halfsize = numRows - 1
size = 2 * halfsize
res = ''
for i in range(numRows):
j, cnt = i, 1
... | 25.904762 | 38 | 0.384191 |
81fc1477fac2e5617e94a7ce606b77e493dcc732 | 4,588 | py | Python | ppyt/finders.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 4 | 2016-08-16T07:47:15.000Z | 2017-12-11T10:08:47.000Z | ppyt/finders.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | null | null | null | ppyt/finders.py | yusukemurayama/ppytrading | 9804d0de870d77bf8a1c847736a636b1342d4600 | [
"MIT"
] | 2 | 2018-06-15T04:43:15.000Z | 2020-05-02T07:47:15.000Z | # coding: utf-8
import logging
import os
import importlib
import inspect
from ppyt import const
from ppyt.mixins import SingletonMixin
from ppyt.exceptions import DuplicateFindkeyError
logger = logging.getLogger(__name__)
class SimpleFinder(SingletonMixin):
"""indicatorsなどを検索するクラスです。
検索対象とするクラスはppyt.mixins.F... | 34.238806 | 74 | 0.619224 |
5b21192557a650e5deabf3513b05c28b9682fc59 | 1,041 | py | Python | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Common/Lock.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 282 | 2016-06-16T14:41:44.000Z | 2022-03-02T03:43:02.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Common/Lock.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 146 | 2016-06-16T08:55:45.000Z | 2020-09-08T10:37:32.000Z | mongodb/mongodb_consistent_backup/official/mongodb_consistent_backup/Common/Lock.py | smthkissinger/docker-images | 35e868295d04fa780325ada4168381f1e80e8fe4 | [
"BSD-3-Clause"
] | 94 | 2016-06-16T10:49:07.000Z | 2022-03-28T09:14:03.000Z | import os
import logging
from fcntl import flock, LOCK_EX, LOCK_NB
from mongodb_consistent_backup.Errors import OperationError
class Lock:
def __init__(self, lock_file, acquire=True):
self.lock_file = lock_file
self._lock = None
if acquire:
self.acquire()
def acquire(sel... | 30.617647 | 88 | 0.605187 |
825bd9b7780974b69a997ea605f7d6ee29550b82 | 15,127 | py | Python | api/bpm/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 2 | 2020-06-08T19:17:10.000Z | 2020-06-08T20:45:07.000Z | api/bpm/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | 14 | 2015-10-07T09:31:50.000Z | 2022-02-23T07:34:10.000Z | api/bpm/services.py | easyCZ/SLIP-A-2015 | ad386df9c438d93ec89f68c63d3deda12d27d1ed | [
"MIT"
] | null | null | null | class BPMmethod(object):
# benchmark
# usage
# name
# beats LATER
# description NO NEED
def __init__(self,step,step_index,setting,avg):
self.name = 'step{}{}'.format(step,step_index)
self.step = step
self.step_index = step_index
if self.step == 1:
se... | 35.097448 | 186 | 0.587559 |
81e5c8c98bb7fe79ebac6ce6f59b8707c2a340a1 | 3,947 | py | Python | python_code_file/lstm22.py | Karllzy/DaJiDuPin | 12fc752caa23f510fbc895d0be2f702b5afde0ea | [
"MIT"
] | null | null | null | python_code_file/lstm22.py | Karllzy/DaJiDuPin | 12fc752caa23f510fbc895d0be2f702b5afde0ea | [
"MIT"
] | null | null | null | python_code_file/lstm22.py | Karllzy/DaJiDuPin | 12fc752caa23f510fbc895d0be2f702b5afde0ea | [
"MIT"
] | null | null | null | from xlrd import open_workbook
from numpy import array, concatenate, sqrt, arange
from pandas import DataFrame, concat
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import mean_squared_error
from keras import Sequential, Model
from keras.layers import LSTM, Dense, Dropout, Activation, Input, TimeD... | 31.07874 | 83 | 0.64758 |
483e11a2e773dd472ed6fb142b1303f76764ac4f | 39,672 | py | Python | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/constants.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 4 | 2020-11-13T02:35:56.000Z | 2021-03-29T20:15:54.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/constants.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 9 | 2020-12-09T02:12:39.000Z | 2021-02-18T00:15:28.000Z | Co-Simulation/Sumo/sumo-1.7.0/tools/traci/constants.py | uruzahe/carla | 940c2ab23cce1eda1ef66de35f66b42d40865fb1 | [
"MIT"
] | 1 | 2020-11-20T19:31:26.000Z | 2020-11-20T19:31:26.000Z | # Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2009-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.... | 29.495911 | 112 | 0.763158 |
4861d0268176081a8f6c8f06f8674ca6d51261af | 911 | py | Python | prototype/examples/user_support/lab_orchestrator_prototype/template_engine.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | null | null | null | prototype/examples/user_support/lab_orchestrator_prototype/template_engine.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | null | null | null | prototype/examples/user_support/lab_orchestrator_prototype/template_engine.py | LernmodulController/LernmodulController-LernmodulControllerDocumentation | 4d0cb3dcac01676f6a97df8f558095a27a4296af | [
"MIT"
] | 1 | 2021-09-26T12:09:52.000Z | 2021-09-26T12:09:52.000Z | import re
import yaml
class TemplateEngine:
def __init__(self, data):
self.path_matcher = re.compile(r'\$\{([^}^{]+)\}')
self.data = data
def path_constructor(self, loader, node):
value = node.value
match = self.path_matcher.match(value)
var = match.group()[2:-1]
... | 28.46875 | 62 | 0.594951 |
73655ecb1c2058ee250cd5110b92b7add0366c26 | 700 | py | Python | src/server/State.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | src/server/State.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | src/server/State.py | muenstermannmarius/ElectionSystem | a6e60d9147423787e869587b808def4771f89cb7 | [
"RSA-MD"
] | null | null | null | class State:
"""The implementation of a exemplary state class.
"""
def __init__(self):
self._id = 0
self._name = ""
def get_id(self):
"""Reads out the id."""
return self._id
def set_id(self, val):
"""Sets the id."""
self._id = val
def get_n... | 21.875 | 55 | 0.52 |
f7c899cd526974a56945b8b5384f82234a3a4f87 | 5,639 | py | Python | src/evaluate_bias_in_nlg/eval_bias_in_labeled_generations.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/evaluate_bias_in_nlg/eval_bias_in_labeled_generations.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/evaluate_bias_in_nlg/eval_bias_in_labeled_generations.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | import os
import json
import hydra.utils
import pandas as pd
from scipy.stats import chi2, chi2_contingency
import matplotlib.pyplot as plt
import src.constants as constants
from src.evaluate_bias_in_nlg.bias_eval_helpers import (
single_file_to_dict,
mult_files_to_dict,
plot_regard_ratios,
)
def read_r... | 33.565476 | 88 | 0.637524 |
f7684fa7aeeb164e9ff3505cb61ce54c5a9fdbaf | 280 | py | Python | exercises/zh/solution_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/zh/solution_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/zh/solution_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
nlp = spacy.blank("en")
# 导入Doc类
from spacy.tokens import Doc
# 目标文本："Go, get started!"
words = ["Go", ",", "get", "started", "!"]
spaces = [False, True, True, False, False]
# 使用words和spaces创建一个Doc
doc = Doc(nlp.vocab, words=words, spaces=spaces)
print(doc.text)
| 18.666667 | 48 | 0.667857 |
e3a92f526215656149b254d63a0ddb17366589a7 | 86 | py | Python | pk/data/common/try.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | pk/data/common/try.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | pk/data/common/try.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | 1 | 2021-04-14T00:45:38.000Z | 2021-04-14T00:45:38.000Z | """
try using python exception to conclude
the base info of except
"""
i=0
print(1J)
| 10.75 | 38 | 0.709302 |
5417a9cb34a9e3b29d697c849e3a65e5a70d736a | 463 | py | Python | lib/python/qmk/cli/pytest.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | 2 | 2021-04-16T23:29:01.000Z | 2021-04-17T02:26:22.000Z | lib/python/qmk/cli/pytest.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | null | null | null | lib/python/qmk/cli/pytest.py | fzf/qmk_toolbox | 10d6b425bd24b45002555022baf16fb11254118b | [
"MIT"
] | null | null | null | """QMK Python Unit Tests
QMK script to run unit and integration tests against our python code.
"""
import subprocess
from milc import cli
@cli.subcommand('QMK Python Unit Tests', hidden=False if cli.config.user.developer else True)
def pytest(cli):
"""Run several linting/testing commands.
"""
flake8 = s... | 27.235294 | 93 | 0.706263 |
3f8d17b75299e375c616ac4861f6ed4748e1ba94 | 1,388 | py | Python | Coursera/Using Databases with Python/Week-4/Excercise/roster.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Coursera/Using Databases with Python/Week-4/Excercise/roster.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-04-10T07:59:06.000Z | 2022-02-06T11:36:47.000Z | Coursera/Using Databases with Python/Week-4/Excercise/roster.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | import json
import sqlite3 as sql
con = sql.connect('rosterdb.sqlite')
cur = con.cursor()
cur.executescript('''
DROP TABLE IF EXISTS User;
DROP TABLE IF EXISTS Member;
DROP TABLE IF EXISTS Course;
CREATE TABLE User(
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
name TEXT UNIQU... | 23.931034 | 68 | 0.610231 |
4dd08c734e5d7427b29ec0a31af0825b2692b54a | 4,914 | py | Python | src/onegov/translator_directory/utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/utils.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import json
from onegov.gis import Coordinates
from onegov.gis.utils import MapboxRequests, outside_bbox
from onegov.translator_directory import log
from onegov.translator_directory.models.translator import Translator
def to_tuple(coordinate):
return coordinate.lat, coordinate.lon
def found_route(response):
... | 28.404624 | 79 | 0.622507 |
4de982f822f20f40b9ffc89fd3f2577838fc6c05 | 4,281 | py | Python | qmk_firmware/lib/python/qmk/cli/generate/layouts.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/generate/layouts.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/generate/layouts.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | """Used by the make system to generate layouts.h from info.json.
"""
from milc import cli
from qmk.constants import COL_LETTERS, ROW_LETTERS
from qmk.decorators import automagic_keyboard, automagic_keymap
from qmk.info import info_json
from qmk.keyboard import keyboard_completer, keyboard_folder
from qmk.path import i... | 40.386792 | 133 | 0.638869 |
c45110a0110390fba8b70236c7b6aeb5058affaa | 11,074 | py | Python | gui.py | WolleTD/RackSorterPython | f6eb4f562e4b6008ce9ec9e64de1f1947cb84318 | [
"MIT"
] | null | null | null | gui.py | WolleTD/RackSorterPython | f6eb4f562e4b6008ce9ec9e64de1f1947cb84318 | [
"MIT"
] | null | null | null | gui.py | WolleTD/RackSorterPython | f6eb4f562e4b6008ce9ec9e64de1f1947cb84318 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
gui.py
~~~~~~~~~~~
Graphical interface for racksorter and pyads modules in context
of the project
:copyright: (c) 2017-2018 by Eicke Herbertz, Dominik Hilbers
:license: MIT, see LICENSE for details
"""
import sys
from collections import name... | 33.456193 | 121 | 0.643038 |
c452e987b6dcdbdfab8b9c8ef6622d36e7afebdc | 3,287 | py | Python | src/onegov/core/metadata.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/metadata.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/core/metadata.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | """ Metadata about the instance, available through HTTP. """
import hashlib
import inspect
import morepath
import socket
from onegov.core.framework import Framework
from onegov.core.security import Public, Secret
from onegov.core.utils import dict_path
from webob import exc
# The metadata responses contain either pu... | 26.942623 | 78 | 0.676909 |
220a7afe69f5883be4682d8a48edd40e3b969382 | 229 | py | Python | Object Oriented Programming/Object Oriented Programming 2/roboter.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Object Oriented Programming/Object Oriented Programming 2/roboter.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | Object Oriented Programming/Object Oriented Programming 2/roboter.py | severinhaller/einf-machinelearning | 4dfc8f1da0d81c5aa800d1459f81b72d1bf6dd9b | [
"MIT"
] | null | null | null | class Roboter:
def sage_hallo(self):
self.name = 1
print("Hallo, ich heisse", self.name)
def __init__(self):
# self.name = input("Name: ")
# self.baujahr = input("Baujahr: ")
pass
| 19.083333 | 45 | 0.541485 |
221578b2db8db749ceb3d54f308ceae8d7a92ffc | 964 | py | Python | Packs/Intezer/Scripts/IntezerScanHost/IntezerScanHost.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Intezer/Scripts/IntezerScanHost/IntezerScanHost.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Intezer/Scripts/IntezerScanHost/IntezerScanHost.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto
from CommonServerPython import *
from CommonServerUserPython import *
import uuid
demisto.executeCommand('createNewIndicator', {'value': demisto.args()['host'], 'type': 'hostname'})
endpoint_analysis_id = str(uuid.uuid4())
scanner_result = demisto.executeCommand('IntezerRunScanner',
... | 43.818182 | 99 | 0.538382 |
3f0402b95d48ae49b008b9871131dcee385f0007 | 805 | py | Python | color_mask.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | null | null | null | color_mask.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | null | null | null | color_mask.py | gitskim/DnntalPrivate | 20f84782e9ab20c68b43f32efb16cd22262b8ceb | [
"MIT"
] | 2 | 2019-05-16T05:48:26.000Z | 2021-01-27T01:26:22.000Z | ### Take mask and orginal image and return the orginal with the mask on it - color
import numpy as np
import matplotlib.pyplot as plt
def imageshow(img, dpi=200):
if dpi > 0:
F = plt.gcf()
F.set_dpi(dpi)
plt.imshow(img)
def checking(image_orginal,image_mask):
orginal_array = image_orginal.copy()
... | 24.393939 | 83 | 0.617391 |
e17ced621bfddafc9d1203a9ee0857587bc3c6c2 | 985 | py | Python | ebenezer/atencion/models/diagnostic_tag.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | ebenezer/atencion/models/diagnostic_tag.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | 3 | 2020-02-11T23:15:00.000Z | 2021-06-10T20:52:17.000Z | ebenezer/atencion/models/diagnostic_tag.py | davrv93/ebenezer-backend | d3db4dafd9a8c35bea9f32afe2be1dd451f64298 | [
"Apache-2.0"
] | null | null | null | from uuid import uuid4
from django.db import models
from .related_factor import RelatedFactor
class DiagnosticTag(models.Model):
id = models.UUIDField(
primary_key=True,
default=uuid4, editable=False)
related_factor = models.ManyToManyField(
RelatedFactor,
blank=True,
... | 22.906977 | 45 | 0.636548 |
187abc80eb43bb826a9265aa261481ff3d98f7f7 | 2,311 | py | Python | src/main.py | TheMagnat/Projet-RP | 74d5bb7c07705b06fbdf93e5587568d9ecf574e0 | [
"MIT"
] | null | null | null | src/main.py | TheMagnat/Projet-RP | 74d5bb7c07705b06fbdf93e5587568d9ecf574e0 | [
"MIT"
] | null | null | null | src/main.py | TheMagnat/Projet-RP | 74d5bb7c07705b06fbdf93e5587568d9ecf574e0 | [
"MIT"
] | null | null | null |
import helper
import algorithm
import numpy as np
#Generation d'instances random
n = 7
error = 0.1
#For integer durations
#durations = helper.generateRandomDurations(n, maxDuration=300)
durations = helper.generateRandomParetoDurations(n)
#For integer predictions
#predictions = helper.generatePredictionsOnD... | 36.68254 | 126 | 0.790567 |
3da2f6b4ef967b0edf5bddfaa270888af26738f0 | 6,851 | py | Python | TFLCycles/unfinished/TFLSummaryRegression.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | TFLCycles/unfinished/TFLSummaryRegression.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | TFLCycles/unfinished/TFLSummaryRegression.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | # %% [markdown]
# # Transport for London Cycle Data Exploration
#
# Seasonality stuff
# https://otexts.com/fpp2/regression-intro.html
# https://stats.stackexchange.com/questions/204670/predict-seasonality-and-trend-combined-better-approach
# https://stats.stackexchange.com/questions/137995/is-there-a-way-to-allow-seaso... | 27.186508 | 129 | 0.704131 |
9afd19688e87d037533ceb7d6b4f8c96b0ecfd86 | 532 | py | Python | src/gvz/migrations/0008_auto_20210424_2211.py | Integreat/gemeindeverzeichnis-django | 0089b97ea02b4741263c37357260c497b66a306d | [
"Apache-2.0"
] | 7 | 2021-04-24T19:11:15.000Z | 2021-10-30T12:59:16.000Z | src/gvz/migrations/0008_auto_20210424_2211.py | Integreat/gemeindeverzeichnis-django | 0089b97ea02b4741263c37357260c497b66a306d | [
"Apache-2.0"
] | 10 | 2021-04-25T10:25:12.000Z | 2021-04-26T17:55:20.000Z | src/gvz/migrations/0008_auto_20210424_2211.py | Integreat/gemeindeverzeichnis-django | 0089b97ea02b4741263c37357260c497b66a306d | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2 on 2021-04-24 22:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gvz', '0007_auto_20210424_2209'),
]
operations = [
migrations.AlterField(
model_name='zipcode',
name='zip_code',
... | 23.130435 | 70 | 0.590226 |
b1419002f212ab4ab6f7a9ba77675ef0a8bf27ca | 561 | py | Python | AutosClasificados/core/migrations/0002_auto_20171010_1747.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | AutosClasificados/core/migrations/0002_auto_20171010_1747.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | AutosClasificados/core/migrations/0002_auto_20171010_1747.py | joaquinpunales1992/Python-Django-WatsonVisualRecognition-WatsonNLU | 2997359150236a7d897a3f9201f8e9404f3d7f02 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-10-10 20:47
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0001_initial'),
]
operations = [
migrations.AlterField(
... | 26.714286 | 173 | 0.600713 |
b150b3b2684b88ca5f3af3791cb0d124156d6f19 | 2,348 | py | Python | src/main/python/multi_processing.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/multi_processing.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/multi_processing.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | 1 | 2021-04-14T00:45:38.000Z | 2021-04-14T00:45:38.000Z | from numpy import *
from pandas import *
from tools import logger
import os
import math
log = logger.getLogger()
def get_threshold():
from context.resource_manager import Properties
from view import shape_view
from view import plot_utils
from cluster import density_cluster
id = np.l... | 30.493506 | 133 | 0.662692 |
655cdfc998569f086ca10d1bfc19462edb3265d4 | 569 | py | Python | website/apps/pages/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | 1 | 2017-03-14T08:08:31.000Z | 2017-03-14T08:08:31.000Z | website/apps/pages/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | website/apps/pages/models.py | stahlnow/stahlnow | 265dd46c54f68173071d1c86218201d6e618ceeb | [
"MIT"
] | null | null | null | from django.db import models
from django.utils.translation import ugettext_lazy as _
class Page(models.Model):
"""Page model."""
title = models.CharField(_('title'), max_length=100)
slug = models.SlugField(_('slug'), unique=True)
body = models.TextField(_('body'), )
script = models.TextField(_('scr... | 25.863636 | 65 | 0.634446 |
65927db4dd49db9148c0cd45a8f9a97c9661371c | 2,374 | py | Python | Imaginary/2021/crypto/Primetime/primetime.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | Imaginary/2021/crypto/Primetime/primetime.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | Imaginary/2021/crypto/Primetime/primetime.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from itertools import islice
from math import gcd
from random import randint
ELEMENT_LEN = 16
def primes():
num = 2
while True:
prime = 1
for i in range(2, num):
if num%i == 0:
prime = 0
if prime:
yield num
num += ... | 23.74 | 62 | 0.456613 |
02b6e9c1f4434bb8c8f9857aadc43f866b9472eb | 425 | py | Python | books/PythonAutomate/pdf_word_documents/encrypting_pdf.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/pdf_word_documents/encrypting_pdf.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/pdf_word_documents/encrypting_pdf.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """encrypting_pdf.py
PDF 파일 암호화 하기
"""
import PyPDF2
pdf_file = open("meetingminutes.pdf", "rb")
pdf_reader = PyPDF2.PdfFileReader(pdf_file)
pdf_writer = PyPDF2.PdfFileWriter()
# PDF 복사
for page_num in range(pdf_reader.numPages):
pdf_writer.addPage(pdf_reader.getPage(page_num))
# PDF 암호화
pdf_writer.encrypt("swor... | 21.25 | 52 | 0.764706 |
b87ec042ebb30b49620316a307b851556906a165 | 974 | py | Python | demos/Multiscale/ThreeSidedBasic/model/config.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 56 | 2020-07-08T23:23:15.000Z | 2022-03-11T20:43:09.000Z | demos/Multiscale/ThreeSidedBasic/model/config.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 41 | 2020-07-11T23:24:06.000Z | 2022-01-28T13:28:07.000Z | demos/Multiscale/ThreeSidedBasic/model/config.py | w-ghub/demos | 6382676fae89bd5a190626612712fcedf17bca6d | [
"MIT"
] | 39 | 2020-07-15T11:35:04.000Z | 2022-02-01T16:02:51.000Z | import math
from decimal import Decimal
from datetime import timedelta
import numpy as np
from typing import Dict, List
from cadCAD.configuration import Experiment
from cadCAD.configuration.utils import bound_norm_random, ep_time_step, config_sim, access_block
from copy import deepcopy
from cadCAD import configs
from ... | 22.651163 | 96 | 0.764887 |
a270485967d9267eb69b1036d03ad37f9fe4355e | 31,752 | py | Python | code/modules/front_pygame.py | snakeuschi/robotling | 836ec8d2f313fd4b82cc0c7f8801aeb89b354a8e | [
"MIT"
] | 10 | 2019-07-09T10:49:46.000Z | 2022-03-23T16:08:29.000Z | front_pygame.py | teuler/make-thermal-cam | 346a1f47556e62de05869d68e0aa9bb13f20d98f | [
"MIT"
] | 1 | 2020-08-09T13:17:50.000Z | 2020-08-21T05:41:26.000Z | front_pygame.py | teuler/make-thermal-cam | 346a1f47556e62de05869d68e0aa9bb13f20d98f | [
"MIT"
] | 6 | 2019-03-27T16:16:23.000Z | 2021-05-18T15:33:48.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# front_pygame.py
# Simple widget-based GUI that uses the drawing functions of pygame
#
# The MIT License (MIT)
# Copyright (c) 2018-20 Thomas Euler
# 2019-05-01, v1
# 2019-08-03, `WidgetCamera` added
... | 32.433095 | 80 | 0.520534 |
a2dbbbd0854cf0bd5e2a25c068e678824f0e7156 | 264 | py | Python | src/python/test.py | allenjzhang/playground | ef32d383d6c1751e204cb77db6658c6ed72624ad | [
"MIT"
] | 1 | 2020-06-10T11:34:59.000Z | 2020-06-10T11:34:59.000Z | src/python/test.py | allenjzhang/playground | ef32d383d6c1751e204cb77db6658c6ed72624ad | [
"MIT"
] | null | null | null | src/python/test.py | allenjzhang/playground | ef32d383d6c1751e204cb77db6658c6ed72624ad | [
"MIT"
] | 2 | 2020-05-26T06:39:04.000Z | 2020-11-16T06:34:23.000Z | import random
def test():
days = ["Mon", "Tues", "Wed", "Thur", "Fri", "Sat", "Sun"]
return days
def main():
days = test()
for day in days:
rand = random.randint(0, 10)
print("On {0} is {1}".format(day, rand))
if __name__ == "__main__":
main() | 18.857143 | 60 | 0.564394 |
a76c3026a7e8a598d889311c1ef9a7b3a3017a6b | 3,387 | py | Python | src/onegov/directory/models/directory_entry.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/models/directory_entry.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/directory/models/directory_entry.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.orm import Base
from onegov.core.orm.mixins import ContentMixin
from onegov.core.orm.mixins import TimestampMixin
from onegov.core.orm.mixins import UTCPublicationMixin
from onegov.core.orm.types import UUID
from onegov.file import AssociatedFiles
from onegov.gis import CoordinatesMixin
from onegov.sea... | 29.973451 | 78 | 0.684086 |
ced256595272e27233b5a8710e424c696cfad3a3 | 91 | py | Python | a.py | smartiori/wolf | d980b2a0ba0c95e640d3bea5143bed3b0fc2246c | [
"Apache-2.0"
] | null | null | null | a.py | smartiori/wolf | d980b2a0ba0c95e640d3bea5143bed3b0fc2246c | [
"Apache-2.0"
] | null | null | null | a.py | smartiori/wolf | d980b2a0ba0c95e640d3bea5143bed3b0fc2246c | [
"Apache-2.0"
] | null | null | null | !#/etc/bin/python
import os
print('hello world')
def test():
print('def test')
test()
| 11.375 | 21 | 0.637363 |
0c9bd88d99f468b3285cfd4bf2e338e5dac9519d | 6,437 | py | Python | Packs/Okta/Integrations/OktaEventCollector/OktaEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | Packs/Okta/Integrations/OktaEventCollector/OktaEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 40 | 2022-03-03T07:34:00.000Z | 2022-03-31T07:38:35.000Z | Packs/Okta/Integrations/OktaEventCollector/OktaEventCollector.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | from enum import Enum
from pydantic import BaseModel, AnyUrl, Json # pylint: disable=no-name-in-module
from CommonServerPython import *
class Method(str, Enum):
"""
A list that represent the types of http request available
"""
GET = 'GET'
POST = 'POST'
PUT = 'PUT'
HEAD = 'HEAD'
PATCH ... | 35.174863 | 115 | 0.60028 |
0ce72cb444f618e01216129c46bf318179f7d3ee | 4,767 | py | Python | backend/api/btb/jsd/__init__.py | prototypefund/project-c | a87a49d7c1317b1e3ec03ddd0ce146ad0391b5d2 | [
"MIT"
] | 4 | 2020-04-30T16:11:24.000Z | 2020-06-02T10:08:07.000Z | backend/api/btb/jsd/__init__.py | prototypefund/project-c | a87a49d7c1317b1e3ec03ddd0ce146ad0391b5d2 | [
"MIT"
] | 291 | 2020-04-20T13:11:13.000Z | 2022-02-10T21:54:46.000Z | backend/api/btb/jsd/__init__.py | prototypefund/project-c | a87a49d7c1317b1e3ec03ddd0ce146ad0391b5d2 | [
"MIT"
] | 2 | 2020-04-19T14:56:01.000Z | 2020-04-19T18:09:34.000Z | import requests
from requests.auth import HTTPBasicAuth
from urllib.parse import urljoin
import json
class JSDClientError(Exception):
"""General exception when JSD api returns an error code"""
pass
class JSDNotFoundError(JSDClientError):
"""Raised when JSD api returns 404 error"""
pass
class JS... | 33.808511 | 137 | 0.642962 |
0b9e03e1da3478fd23e75933bd4a3b801042b24d | 826 | py | Python | extra_script.py | cultur98/ESP32_Vorrat | 0dba638677c32ccb46069403a71cefa2460974ad | [
"MIT"
] | null | null | null | extra_script.py | cultur98/ESP32_Vorrat | 0dba638677c32ccb46069403a71cefa2460974ad | [
"MIT"
] | null | null | null | extra_script.py | cultur98/ESP32_Vorrat | 0dba638677c32ccb46069403a71cefa2460974ad | [
"MIT"
] | null | null | null | from shutil import copyfile
from os import path
Import("env")
version_from_buildflags = "not_found"
my_flags = env.ParseFlags(env['BUILD_FLAGS'])
for x in my_flags.get("CPPDEFINES"):
if isinstance(x, list):
# grab as key, value
k, v = x
if k == "FW_VERSION_MAJ":
fw_version_maj ... | 30.592593 | 70 | 0.657385 |
e7f1fd92016a5b004fba74f0c308b7e6a72c69fe | 15,510 | py | Python | Packs/DemistoRESTAPI/Scripts/DemistoUploadFileV2/DemistoUploadFileV2_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/DemistoRESTAPI/Scripts/DemistoUploadFileV2/DemistoUploadFileV2_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/DemistoRESTAPI/Scripts/DemistoUploadFileV2/DemistoUploadFileV2_test.py | cstone112/content | 7f039931b8cfc20e89df52d895440b7321149a0d | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import pytest
from DemistoUploadFileV2 import upload_file_command
RAW_RESPONSE = [
{
"Brand": "Demisto REST API",
"Category": "Utilities",
"Contents": {
"response": {
"ShardID": 0,
"category": "",
"childs": None,
"c... | 37.283654 | 120 | 0.416505 |
685497d8326b5efbf8d6054de0d3771ebb81bf91 | 3,918 | py | Python | MidnightSun/2021/Quals/crypto/Dbcsig_64434/keygen_sign_proto.py | mystickev/ctf-archives | 89e99a5cd5fb6b2923cad3fe1948d3ff78649b4e | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | MidnightSun/2021/Quals/crypto/Dbcsig_64434/keygen_sign_proto.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | MidnightSun/2021/Quals/crypto/Dbcsig_64434/keygen_sign_proto.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-12-19T11:06:24.000Z | 2021-12-19T11:06:24.000Z | """
We have designed a determinstic signature scheme with
password-based keys, suitable for the post-modern
blockchain. It is resistant to partitioning oracle attacks
and requires no access to randomness under a fixed modulus.
Although not quantum safe, we deem the threat from quantum
attacks to be negligible.
... | 61.21875 | 451 | 0.374936 |
d79ab75b58226464ffb515ecf72ad013db19d8f8 | 600 | py | Python | qmk_firmware/lib/python/qmk/cli/list/keymaps.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | 2 | 2021-04-16T23:29:01.000Z | 2021-04-17T02:26:22.000Z | qmk_firmware/lib/python/qmk/cli/list/keymaps.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | qmk_firmware/lib/python/qmk/cli/list/keymaps.py | DanTupi/personal_setup | 911b4951e4d8b78d6ea8ca335229e2e970fda871 | [
"MIT"
] | null | null | null | """List the keymaps for a specific keyboard
"""
from milc import cli
import qmk.keymap
from qmk.decorators import automagic_keyboard
from qmk.keyboard import keyboard_completer, keyboard_folder
@cli.argument("-kb", "--keyboard", type=keyboard_folder, completer=keyboard_completer, help="Specify keyboard name. Example... | 33.333333 | 148 | 0.771667 |
cc09b5f333b4d82bebddb86a7a22f4621022694c | 3,679 | py | Python | Zhihu/RNN/RNN.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 1,107 | 2016-09-21T02:18:36.000Z | 2022-03-29T02:52:12.000Z | Zhihu/RNN/RNN.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 18 | 2016-12-22T10:24:47.000Z | 2022-03-11T23:18:43.000Z | Zhihu/RNN/RNN.py | leoatchina/MachineLearning | 071f2c0fc6f5af3d9550cfbeafe8d537c35a76d3 | [
"MIT"
] | 776 | 2016-12-21T12:08:08.000Z | 2022-03-21T06:12:08.000Z | import numpy as np
import tensorflow as tf
import tensorflow.contrib.layers as layers
from tensorflow.contrib.rnn import BasicRNNCell, LSTMStateTuple
class LSTMCell(BasicRNNCell):
def __call__(self, x, state, scope="LSTM"):
with tf.variable_scope(scope):
s_old, h_old = tf.split(state,... | 39.138298 | 95 | 0.574884 |
504b633d4099c1fc7388f24237fc1b0fb3018a91 | 312 | py | Python | models/test_myfft.py | zaqwes8811/voicegen | 938e26d9e83c8be9df830698aa5b65cb904dd2eb | [
"Apache-2.0"
] | null | null | null | models/test_myfft.py | zaqwes8811/voicegen | 938e26d9e83c8be9df830698aa5b65cb904dd2eb | [
"Apache-2.0"
] | null | null | null | models/test_myfft.py | zaqwes8811/voicegen | 938e26d9e83c8be9df830698aa5b65cb904dd2eb | [
"Apache-2.0"
] | null | null | null | import math
import cmath
import scipy
import matplotlib
import matplotlib.pyplot as plt
a = scipy.array([[1,2,3,4,5,6]])
b = scipy.array([[1,2,3,4,5,6]])
s = scipy.fft(a)
print a
print s
#s = cmath.real(s)
print s
#fig = plt.figure()
#ax = fig.add_subplot( 111)
#ax.plot(a, b)
#fig.show()
#fig.savefig('symlog') | 17.333333 | 32 | 0.673077 |
50540742c5a89ba75771926782d99629a8ab6c1c | 13,739 | py | Python | examples/multimodal/layoutxlm/run_xfun_ser.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/multimodal/layoutxlm/run_xfun_ser.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/multimodal/layoutxlm/run_xfun_ser.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | import sys
import os
import random
import copy
import logging
import argparse
import paddle
import numpy as np
from seqeval.metrics import classification_report, f1_score, precision_score, recall_score
from paddlenlp.transformers import LayoutXLMModel, LayoutXLMTokenizer, LayoutXLMForTokenClassification
from xfun impo... | 39.823188 | 120 | 0.580974 |
ac9a42f53a284cdcea21b7a99aec8c682a5b06cd | 1,210 | py | Python | INBa/2015/RotkinAM/Zadacha_8_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/RotkinAM/Zadacha_8_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | INBa/2015/RotkinAM/Zadacha_8_21.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | #Задача №8, Вариант 21
#1-50. Доработайте игру "Анаграммы" (см. М.Доусон Программируем на Python. Гл.4) так, чтобы к каждому слову полагалась подсказка. Игрок должен получать право на подсказку в том случае, если у него нет никаких предположений. Разработайте систему начисления очков, по которой бы игроки, отгадавшие с... | 35.588235 | 361 | 0.663636 |
ace339936fdec76dda6fdb12a034e41baf3fd9b1 | 713 | py | Python | src/test/tests/unit/annotation_objects.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 226 | 2018-12-29T01:13:49.000Z | 2022-03-30T19:16:31.000Z | src/test/tests/unit/annotation_objects.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 5,100 | 2019-01-14T18:19:25.000Z | 2022-03-31T23:08:36.000Z | src/test/tests/unit/annotation_objects.py | visit-dav/vis | c08bc6e538ecd7d30ddc6399ec3022b9e062127e | [
"BSD-3-Clause"
] | 84 | 2019-01-24T17:41:50.000Z | 2022-03-10T10:01:46.000Z | # ----------------------------------------------------------------------------
# CLASSES: nightly
#
# Test Case: annotation_objects.py
#
# Tests: AnnotationObject unit test
#
# Alister Maguire, Fri Jul 16 12:50:11 PDT 2021
#
# Modifications:
#
# ---------------------------------------------------------------... | 23.766667 | 80 | 0.531557 |
c5b55c6ec61ce2cfe14f36654e9176ea41006be8 | 280 | py | Python | python/python_backup/PRAC_PYTHON/22_armstrong.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/22_armstrong.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/22_armstrong.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | def armstrong1(n):
a0=n
s=0
d=0
while a0>0:
d=a0%10
s=s+d*d*d
a0=a0//10
print(s)
if s==n:
return 1
else :
return 0
d=int(input("Enter a number :"))
if armstrong1(d) == 1 :
print("armstrong number")
else:
print("not an armstrong number")
| 12.727273 | 34 | 0.560714 |
8c129e03abe9fc000f0d8a2010fc8f63b4fa41e3 | 6,472 | py | Python | jobScanner/jobScanner.py | gordodev/Automation | 254ddce367f1369b7e4355f7d42af21090493aa1 | [
"Apache-2.0"
] | 2 | 2020-07-21T04:59:42.000Z | 2020-12-15T16:42:00.000Z | jobScanner/jobScanner.py | gordodev/Automation | 254ddce367f1369b7e4355f7d42af21090493aa1 | [
"Apache-2.0"
] | null | null | null | jobScanner/jobScanner.py | gordodev/Automation | 254ddce367f1369b7e4355f7d42af21090493aa1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
#jobScanner 2.0 (migrate from shell to Python) 8/10/20
#Purpose: Scan jobs, determine suitability then generate email response
import csv
import time
import sys
import os
import tkinter as tk
#from tkinter import simpledialog
from tkinter import simpledialog
ROOT = tk.Tk()
ROOT.withdraw()
# the... | 27.776824 | 133 | 0.597806 |
8b3bda816d2aba8df241cb52a633863302a94921 | 574 | py | Python | src/onegov/feriennet/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/feriennet/collections/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.feriennet.collections.activity import VacationActivityCollection
from onegov.feriennet.collections.billing import BillingCollection
from onegov.feriennet.collections.match import MatchCollection
from onegov.feriennet.collections.notification_template import (
NotificationTemplateCollection
)
from oneg... | 28.7 | 76 | 0.825784 |
0fc178fa72c906092e4406007765121fa4c9b7aa | 4,019 | py | Python | 21-fs-ias-lec/FrontEnd/socialgraph/importer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 8 | 2020-03-17T21:12:18.000Z | 2021-12-12T15:55:54.000Z | 21-fs-ias-lec/FrontEnd/socialgraph/importer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 2 | 2021-07-19T06:18:43.000Z | 2022-02-10T12:17:58.000Z | 21-fs-ias-lec/FrontEnd/socialgraph/importer.py | Kyrus1999/BACnet | 5be8e1377252166041bcd0b066cce5b92b077d06 | [
"MIT"
] | 25 | 2020-03-20T09:32:45.000Z | 2021-07-18T18:12:59.000Z | __author__ = "Philipp Haller, Pascal Kunz, Sebastian Schlachter"
import os
import json
from datetime import datetime
import datetime as dt
import pytz
import tzlocal as tzlocal
from socialgraph.models import Profile, FollowRecommendations, Status
def create_profiles(data):
"""
Creates profile database ob... | 39.401961 | 196 | 0.603135 |
0fdfdf746cdb45a43896e4229cb639bad57ab542 | 1,768 | py | Python | research/cv/glore_res/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/glore_res/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/glore_res/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 24 | 2021-10-15T08:32:45.000Z | 2022-03-24T18:45:20.000Z | # 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... | 40.181818 | 86 | 0.714367 |
ba223fa3d62a68abe3ee4835c3d8838da16a24e3 | 175 | py | Python | book/_build/jupyter_execute/docs/001_uebersicht.py | tom-tubeless/Biologie | 44660ea21971d4b3d77118606bfe1264993465fc | [
"MIT"
] | null | null | null | book/_build/jupyter_execute/docs/001_uebersicht.py | tom-tubeless/Biologie | 44660ea21971d4b3d77118606bfe1264993465fc | [
"MIT"
] | null | null | null | book/_build/jupyter_execute/docs/001_uebersicht.py | tom-tubeless/Biologie | 44660ea21971d4b3d77118606bfe1264993465fc | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # Übersicht über die Unterrichtsinhalte
# In[1]:
import pandas as px
bio_g9_05 = px.read_excel("bio_g9_05.xlsx")
bio_g9_05.head()
| 13.461538 | 43 | 0.714286 |
e8cd6aa8d4036a8cb05299f4aa6839ece6c6bcd5 | 322 | py | Python | hardware/beacon/beacon.py | BlueHC/TTHack-2018--Easy-Rider-1 | 8cd8f66de88ff80751a1083350c38985ac26914d | [
"Apache-2.0"
] | null | null | null | hardware/beacon/beacon.py | BlueHC/TTHack-2018--Easy-Rider-1 | 8cd8f66de88ff80751a1083350c38985ac26914d | [
"Apache-2.0"
] | null | null | null | hardware/beacon/beacon.py | BlueHC/TTHack-2018--Easy-Rider-1 | 8cd8f66de88ff80751a1083350c38985ac26914d | [
"Apache-2.0"
] | null | null | null | from subprocess import call
call(["sudo hciconfig hci0 up"], shell=True)
call(["sudo hciconfig hci0 leadv 3"], shell=True)
def make_beacon():
call(["sudo hcitool -i hci0 cmd 0x08 0x0008 1d 02 01 06 03 03 aa fe 15 16 aa fe 10 00 02 65 61 73 79 72 69 64 65 72 65 72 6e 61 30 30 00 00"], shell=True)
make_beacon(... | 32.2 | 162 | 0.692547 |
d7828dccf277a564f8fb0240fbb5ca9973c28795 | 1,309 | py | Python | ms17_shodan_extractor/ms17Extractor.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 4 | 2021-04-23T15:39:17.000Z | 2021-12-27T22:53:24.000Z | ms17_shodan_extractor/ms17Extractor.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | null | null | null | ms17_shodan_extractor/ms17Extractor.py | Unam3dd/Train-2018-2020 | afb6ae70fe338cbe55a21b74648d91996b818fa2 | [
"MIT"
] | 2 | 2021-04-19T08:28:54.000Z | 2022-01-19T13:23:29.000Z | import shodan
import subprocess
from termcolor import colored
import argparse
import shlex
parser = argparse.ArgumentParser()
parser.add_argument("-a", dest ="api_key", ,type=str ,help="Shodan API key")
parser.add_argument("-s", dest = "search_query", help="Search query")
parser.add_argument("-l", dest = "limit", defa... | 29.75 | 114 | 0.662338 |
7e64260b6a24d009bf30358b59625c86301ddbdd | 68,907 | py | Python | repo/plugin.video.EasyNews/default.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 1 | 2017-11-26T18:18:46.000Z | 2017-11-26T18:18:46.000Z | repo/plugin.video.EasyNews/default.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | null | null | null | repo/plugin.video.EasyNews/default.py | dbiesecke/dbiesecke.github.io | 5894473591f078fd22d1cb33794c5e656ae9b8dd | [
"MIT"
] | 3 | 2019-09-30T19:52:05.000Z | 2020-04-12T21:20:56.000Z | import urllib,urllib2,sys,re,xbmcplugin,xbmcgui,xbmcaddon,xbmc,base64,datetime,os
import settings
from urlparse import urlparse
import time
import threading
from functools import wraps
import json
PLUGIN='plugin.video.EasyNews'
#Global Constants
ADDON = settings.addon()
USER_AGENT = 'Mozilla/5.0 (Window... | 54.515032 | 1,062 | 0.533066 |
0e454a366024f56a49b75bb2fa8edf091aa69352 | 1,351 | py | Python | kivy-demo/leprechaun.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null | kivy-demo/leprechaun.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null | kivy-demo/leprechaun.py | gregjhansell97/sandbox | d565da5db2c10af404ce62aa747d5e682bc02a86 | [
"MIT"
] | null | null | null |
from random import random
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.uix.button import Button
from kivy.graphics import Color, Line, Rectangle
class MyPaintWidget(Widget):
def on_touch_down(self, touch):
color = (random(), random(), random())
self.canvas.clear()
... | 32.95122 | 72 | 0.589193 |
0e632c84c257e78f4906f56c64fdda5272aa6ba3 | 774 | py | Python | scripts/invite_all_participants.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | scripts/invite_all_participants.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | scripts/invite_all_participants.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | 1 | 2019-10-19T10:11:17.000Z | 2019-10-19T10:11:17.000Z | #!/usr/bin/env python3
import os
import logging
from configparser import ConfigParser
from imwievaluation.limesurvey import LimeSurveySession
logger = logging.getLogger(__name__)
configParser = ConfigParser()
configParser.read('config.ini')
semester = configParser['structure']['semester']
basepath = configParser['st... | 27.642857 | 70 | 0.77907 |
cbb6ad629fd62bbfb0758e2e347f944c03e8e88e | 3,700 | py | Python | imwievaluation/tests/test_semester_old.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/tests/test_semester_old.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | null | null | null | imwievaluation/tests/test_semester_old.py | ESchae/IMWIEvaluation | 2fa661711b7b65cba25c1fa9ba69e09e75c7655f | [
"MIT"
] | 1 | 2019-10-19T10:11:17.000Z | 2019-10-19T10:11:17.000Z | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from imwievaluation.semester_old import Semester, Lecturer, Lecture
@pytest.fixture
def semester():
return Semester('WS2017/18')
@pytest.fixture
def lecturers():
return [
('Maier', 'm', 'herr_maier@example.com'),
('Müller', 'f', '... | 34.259259 | 79 | 0.642432 |
1df0439850f1832a067706dcba8642182e2a011d | 253 | py | Python | Hackerrank_problems/Triangle_Quest/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 165 | 2020-10-03T08:01:11.000Z | 2022-03-31T02:42:08.000Z | Hackerrank_problems/Triangle_Quest/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 383 | 2020-10-03T07:39:11.000Z | 2021-11-20T07:06:35.000Z | Hackerrank_problems/Triangle_Quest/solution.py | gbrls/CompetitiveCode | b6f1b817a655635c3c843d40bd05793406fea9c6 | [
"MIT"
] | 380 | 2020-10-03T08:05:04.000Z | 2022-03-19T06:56:59.000Z | # Used the fact that 9ths as decimals have repeating digits (1/9=.11111, 2/9=.22222) with powers of 10 to get the correct length of each number.
# Completed in 2 lines as required by problem.
for i in range(1,int(input())):
print((10**(i)//9)*i)
| 50.6 | 146 | 0.6917 |
1df332880bc7837c5e85e826c83fa5240a990199 | 446 | py | Python | backend/config.py | LouisaWatch/openschufa | 64e2efaf0d66ab7e6fb8696248bf51e7a9a441ba | [
"MIT"
] | null | null | null | backend/config.py | LouisaWatch/openschufa | 64e2efaf0d66ab7e6fb8696248bf51e7a9a441ba | [
"MIT"
] | null | null | null | backend/config.py | LouisaWatch/openschufa | 64e2efaf0d66ab7e6fb8696248bf51e7a9a441ba | [
"MIT"
] | null | null | null | # Please configure a real secret key in instance/config.py
import os
# Root path
APP_ROOT = os.path.dirname(os.path.abspath(__file__))
SECRET_KEY = os.environ.get('SECRET_KEY')
TESTING = False
# Connection string
SQLALCHEMY_DATABASE_URI = os.environ.get('OPENSCHUFA_DATABASE_URL')
SQLALCHEMY_TRACK_MODIFICATIONS = Tr... | 22.3 | 67 | 0.793722 |
69a89327edbae2cd9dee48ae1a911464d9b928c4 | 119 | py | Python | spangle/models/__init__.py | tkamenoko/spangle | 068479660a03239aa69c935d7ca0418c491d92da | [
"MIT"
] | 2 | 2019-11-17T06:38:56.000Z | 2019-12-01T15:32:03.000Z | spangle/models/__init__.py | tkamenoko/spangle | 068479660a03239aa69c935d7ca0418c491d92da | [
"MIT"
] | null | null | null | spangle/models/__init__.py | tkamenoko/spangle | 068479660a03239aa69c935d7ca0418c491d92da | [
"MIT"
] | null | null | null | from .http import Request, Response
from .websocket import Connection
__all__ = ["Request", "Response", "Connection"]
| 23.8 | 47 | 0.756303 |
69ec7ed126ec2c57174a51697494c9fe6182bd91 | 1,346 | py | Python | Packs/Yara/Scripts/YaraScan/YaraScan_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Yara/Scripts/YaraScan/YaraScan_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Yara/Scripts/YaraScan/YaraScan_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z |
from YaraScan import main
import demistomock as demisto
from CommonServerPython import entryTypes
def test_main(mocker):
rule = '''rule PE_file_identifier
{
meta:
author = "Adam Burt"
description = "Detects PE files"
date = "12/08/2016"
strings:
$MZ = "MZ" ascii
cond... | 27.469388 | 86 | 0.537147 |
2a9eb312219e19c7d231a30e3eadf29bc8298676 | 48 | py | Python | backend/fakebox/common/handling_exception.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/fakebox/common/handling_exception.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | backend/fakebox/common/handling_exception.py | teodorvoicencu/FakeBox | f14ca83643894d9d0761294cfce511a52401de68 | [
"MIT"
] | null | null | null | class HandlingException(RuntimeError):
pass
| 16 | 38 | 0.791667 |
2ad6a9646a0af5c275b8847dd600d2996b248aa2 | 164 | py | Python | exercises/ja/exc_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/ja/exc_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/ja/exc_02_10_01.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | import spacy
nlp = spacy.load("ja_core_news_md")
doc1 = nlp("暖かい夏の日です")
doc2 = nlp("外は晴れています")
# doc1とdoc2の類似度を取得
similarity = ____.____(____)
print(similarity)
| 14.909091 | 35 | 0.737805 |
10945428aee4bdd3279073246b07fdf32f488926 | 491 | py | Python | frappe-bench/apps/erpnext/erpnext/selling/doctype/campaign/campaign.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | frappe-bench/apps/erpnext/erpnext/selling/doctype/campaign/campaign.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/selling/doctype/campaign/campaign.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from frappe.model.naming import set_name_by_naming_series
class Campaign(Document):
def auto... | 30.6875 | 81 | 0.800407 |
10ac3db1b8b42d233fb1564a76c3609e69bb9798 | 802 | py | Python | Linked List/CycleAtIndex.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Linked List/CycleAtIndex.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | null | null | null | Linked List/CycleAtIndex.py | dileeppandey/hello-interview | 78f6cf4e2da4106fd07f4bd86247026396075c69 | [
"MIT"
] | 1 | 2020-02-12T16:57:46.000Z | 2020-02-12T16:57:46.000Z | # Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
class Solution(object):
def getIntersection(self, head):
slow = head
fast = head
while fast is not None and fast.next is not None:
slow = slow.... | 22.277778 | 57 | 0.524938 |
52a67144c07e1467ceae24988244cf76185f1491 | 38,022 | py | Python | warp/workspace/workspace.py | j-helland/warp | 2a71346f0ec4d4e6fd45ed3b5e972b683724287c | [
"Unlicense"
] | null | null | null | warp/workspace/workspace.py | j-helland/warp | 2a71346f0ec4d4e6fd45ed3b5e972b683724287c | [
"Unlicense"
] | null | null | null | warp/workspace/workspace.py | j-helland/warp | 2a71346f0ec4d4e6fd45ed3b5e972b683724287c | [
"Unlicense"
] | null | null | null | # stdlib
import os
import shutil
import time
import datetime
import subprocess
import inspect
import functools
from copy import deepcopy
# extern
import networkx as nx
# lazyily loaded modules
from warp.utils import LazyLoader as LL
pd = LL('pd', globals(), 'pandas')
yaml = LL('yaml', globals(), 'ya... | 44.314685 | 225 | 0.587739 |
52830312ac6ea59c8c74c64cddcdca62ffa4d707 | 4,315 | py | Python | pubs_mover/pubs_mover/spiders/crawler.py | icyphy/icyphy.github.io | 192e7f522c1282b3ca03ee11142d2fcf1142b6b6 | [
"CC-BY-3.0"
] | null | null | null | pubs_mover/pubs_mover/spiders/crawler.py | icyphy/icyphy.github.io | 192e7f522c1282b3ca03ee11142d2fcf1142b6b6 | [
"CC-BY-3.0"
] | 1 | 2021-08-27T23:05:43.000Z | 2021-08-28T14:35:15.000Z | pubs_mover/pubs_mover/spiders/crawler.py | icyphy/icyphy.github.io | 192e7f522c1282b3ca03ee11142d2fcf1142b6b6 | [
"CC-BY-3.0"
] | 1 | 2022-03-14T11:38:43.000Z | 2022-03-14T11:38:43.000Z | import scrapy
import bibtexparser
import os
import re
from bibtexparser.bparser import BibTexParser
import hashlib
class IcyphySpider(scrapy.Spider):
name = 'icyphy_pub'
custom_settings = {
'CONCURRENT_REQUESTS': '16'
}
count = 0
start_urls = [
'https://ptolemy.berkeley.edu/project... | 40.327103 | 89 | 0.506373 |
8721b69ab449961e85527c51d5a9e9d3cf09354d | 1,083 | py | Python | src/main/python/floatingpoints/floating_points_fixed_worker.py | mkisser-tgm/floating_points | ef6c93c1d1fa5bbb38615c0d2fc7632b31f06e8e | [
"MIT"
] | null | null | null | src/main/python/floatingpoints/floating_points_fixed_worker.py | mkisser-tgm/floating_points | ef6c93c1d1fa5bbb38615c0d2fc7632b31f06e8e | [
"MIT"
] | null | null | null | src/main/python/floatingpoints/floating_points_fixed_worker.py | mkisser-tgm/floating_points | ef6c93c1d1fa5bbb38615c0d2fc7632b31f06e8e | [
"MIT"
] | null | null | null | from floatingpoints.floating_points_fixed_controller import living_point
from multiprocessing import Process
import random
class WorkerProcess(Process):
"""
Describes a worker Process that processes point coordinates while taking
window width, height and max speed into account
"""
def __init__(self... | 31.852941 | 76 | 0.647276 |
d512ecb6f7383042159e3b5bff014c17e9efcca9 | 110 | py | Python | UAS/UAS 10/Class.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | UAS/UAS 10/Class.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | UAS/UAS 10/Class.py | Archedar/UAS | 3237d9304026340acc93c8f36b358578dc0ae66f | [
"BSD-Source-Code"
] | null | null | null | #Class program
class Kuis:
def __init__(self, soal, jawaban):
self.soal = soal
self.jawaban = jawaban | 22 | 36 | 0.7 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.