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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
17b328f0e82744b91ceb1e856b4c428328eebbbd | 569 | py | Python | leetcode/665-Non-decreasing-Array/NonDecreasingArr.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/665-Non-decreasing-Array/NonDecreasingArr.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/665-Non-decreasing-Array/NonDecreasingArr.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def checkPossibility(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
is_modified = False
for i in xrange(len(nums) - 1):
if nums[i] > nums[i + 1]:
if is_modified:
return False
... | 28.45 | 60 | 0.379613 |
35019a8cdcdc4bd46aae8b294cf7d088d7c2a1b4 | 6,727 | py | Python | pyScript_NodeManager/NodeInput.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | pyScript_NodeManager/NodeInput.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | pyScript_NodeManager/NodeInput.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | from PySide2.QtWidgets import QWidget, QPlainTextEdit, QRadioButton, QGridLayout, QPushButton, QComboBox, QLineEdit, QMessageBox, QGroupBox, QVBoxLayout
class NodeInput(QWidget):
def __init__(self, content_widget):
super(NodeInput, self).__init__()
self.content_widget = content_widget
sel... | 42.04375 | 152 | 0.704326 |
dcb7dde46743662af9ff8f47290bed7f12d2002c | 3,199 | py | Python | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/plugins/lookup/test_avi.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/plugins/lookup/test_avi.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | exercises/networking_selfpaced/networking-workshop/collections/ansible_collections/community/general/tests/unit/plugins/lookup/test_avi.py | tr3ck3r/linklight | 5060f624c235ecf46cb62cefcc6bddc6bf8ca3e7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# (c) 2019, Sandeep Bandi <sandeepb@avinetworks.com>
#
# This file is part of Ansible
#
# Ansible 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 the License, or
# (... | 34.397849 | 89 | 0.727727 |
87721dc837cfcc46d6cb41435ab729954799560c | 541 | py | Python | exercises/es/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/es/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/es/test_02_05_02.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | def test():
assert (
"from spacy.tokens import Doc" in __solution__
), "¿Estás importando la clase Doc correctamente?"
assert (
len(spaces) == 5
), "Parece que el número de espacios no concuerda con el número de palabras."
assert all(isinstance(s, bool) for s in spaces), "Los espacio... | 45.083333 | 93 | 0.645102 |
df185f518b1ffb96918cba7daa6cf65f80a3bf83 | 598 | py | Python | serve.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | serve.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | serve.py | lurch/Pinout2 | bd3b39de2c053607b9415dd9eb0297a401ba7162 | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python
from flask import Flask, send_from_directory
import sys
app = Flask(__name__)
lang = 'en'
@app.route('/')
def show_index():
return send_from_directory(basedir,'index.html')
@app.route("/resources/<path:filename>")
def custom_static(filename):
return send_from_directory(basedir + 'resources/',... | 21.357143 | 61 | 0.70903 |
df812269ac879c53fb5ed863c8c091f330f4846f | 228 | py | Python | personal-files/python-test/test.py | lyf0327/PycharmProjects | ce6507f04a33156a0d6c3f732856dcb655bc2351 | [
"Apache-2.0"
] | null | null | null | personal-files/python-test/test.py | lyf0327/PycharmProjects | ce6507f04a33156a0d6c3f732856dcb655bc2351 | [
"Apache-2.0"
] | null | null | null | personal-files/python-test/test.py | lyf0327/PycharmProjects | ce6507f04a33156a0d6c3f732856dcb655bc2351 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding:UTF-8 -*-
from sys import argv
script, filename = argv
txt=open(filename)
print txt.read()
file_again=raw_input("> ")
txg_again=open(file_again)
print txg_again.read()
txt.close()
txg_again.close() | 20.727273 | 26 | 0.72807 |
63733bb1acddaa24e368933c4cfe58bd56e53809 | 212 | py | Python | Theories/Algorithms/Recursion1/ReverseString/reverse_string.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | 1 | 2021-08-16T14:52:05.000Z | 2021-08-16T14:52:05.000Z | Theories/Algorithms/Recursion1/ReverseString/reverse_string.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Theories/Algorithms/Recursion1/ReverseString/reverse_string.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import List
def reverseString(s: List[str]) -> None:
"""
Do not return anything, modify s in-place instead.
"""
for i in range(len(s) // 2):
s[i], s[-i - 1] = s[-i - 1], s[i] | 23.555556 | 54 | 0.537736 |
8967e17c2b719b250094aa362ace32622a48bc56 | 1,067 | py | Python | 00 Calculus Operations in SymPy.py | Verma314/Experiments-in-Symbolic-Computation | baf800c5ff69cc125df8c84ab93c4f40a7aba725 | [
"MIT"
] | null | null | null | 00 Calculus Operations in SymPy.py | Verma314/Experiments-in-Symbolic-Computation | baf800c5ff69cc125df8c84ab93c4f40a7aba725 | [
"MIT"
] | null | null | null | 00 Calculus Operations in SymPy.py | Verma314/Experiments-in-Symbolic-Computation | baf800c5ff69cc125df8c84ab93c4f40a7aba725 | [
"MIT"
] | null | null | null | from sympy import *
#define sympy symbols for
x , t , z , nu = symbols ('x t z nu')
#for pretty printing:
init_printing ( use_unicode=True)
#take a derivative of [ sin (x) e ^ x ]
print (" Diffrentiating sin (x) e ^ x ")
print ( diff ( sin ( x ) * exp (x), x))
#integration:
print ( "\n Integrating t... | 27.358974 | 69 | 0.56701 |
98730936a520d6e0bb3dfcfd99ec7be3b5175c16 | 2,796 | py | Python | kts/core/backend/signal.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 18 | 2019-02-14T13:10:07.000Z | 2021-11-26T07:10:13.000Z | kts/core/backend/signal.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-02-17T14:06:42.000Z | 2019-09-15T18:05:54.000Z | kts/core/backend/signal.py | konodyuk/kts | 3af5ccbf1d2089cb41d171626fcde4b0ba5aa8a7 | [
"MIT"
] | 2 | 2019-09-15T13:12:42.000Z | 2020-04-15T14:05:54.000Z | import os
from collections import defaultdict
from typing import Union, Tuple, List, Any
import ray
from kts.core.run_id import RunID
try:
from ray.experimental import get_actor # ray<=0.8.1
except ImportError:
from ray.util import get_actor # ray>=0.8.2
def _get_task_id(source):
if type(sour... | 24.103448 | 73 | 0.64628 |
7f83f70ca09f602baaa5bde57979658c4e48db88 | 583 | py | Python | products/migrations/0002_amazoncategory_sales_rank.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | 1 | 2019-07-22T14:03:11.000Z | 2019-07-22T14:03:11.000Z | products/migrations/0002_amazoncategory_sales_rank.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | null | null | null | products/migrations/0002_amazoncategory_sales_rank.py | silver-whale-enterprises-llc/amzproduzer | 25e63f64b0ef09241475c72af9a710dcb7d9e926 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.7 on 2019-03-16 14:58
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('configurations', '0001_initial'),
('products', '0001_initial'),
]
operations = [
migrations.AddFiel... | 27.761905 | 170 | 0.658662 |
63e277177ce2004787ea9567977b39099b96ebe7 | 1,066 | bzl | Python | tools/platforms/toolchain_config_suite_spec.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 703 | 2018-11-05T22:51:58.000Z | 2022-03-31T21:54:22.000Z | tools/platforms/toolchain_config_suite_spec.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 720 | 2018-11-05T21:29:49.000Z | 2022-03-29T19:43:50.000Z | tools/platforms/toolchain_config_suite_spec.bzl | wcalandro/kythe | 64969a853711c228b4e3cfc3ce91b84b5bb853d7 | [
"Apache-2.0"
] | 99 | 2018-11-06T22:20:08.000Z | 2022-03-16T12:50:35.000Z | # Copyright 2020 The Kythe 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... | 39.481481 | 79 | 0.754221 |
89e684f23e912f35b1d93b1cf51a643243c6a207 | 10,538 | py | Python | examples/model_interpretation/rationale_extraction/newp_text_generate.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/model_interpretation/rationale_extraction/newp_text_generate.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | examples/model_interpretation/rationale_extraction/newp_text_generate.py | mukaiu/PaddleNLP | 0315365dbafa6e3b1c7147121ba85e05884125a5 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2022 PaddlePaddle 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 app... | 33.138365 | 80 | 0.638546 |
89fe1e6c6b51baaffbd930436027c6f14a2b82ee | 210 | py | Python | etc/ipcdemo/B.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | 1 | 2021-06-15T08:59:02.000Z | 2021-06-15T08:59:02.000Z | etc/ipcdemo/B.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null | etc/ipcdemo/B.py | huberthoegl/tsgrain | 405d0ba8b98c2afa950d27294e55cd1e07506db4 | [
"Apache-2.0"
] | null | null | null | import time
import ipc
ipc.open()
ab = ipc.AtoB()
ba = ipc.BtoA()
n = 0
while True:
msg = ab.getb() # blocking get
ba.put("bla")
time.sleep(1)
n = n + 1
if n % 50 == 0:
print(n)
| 12.352941 | 35 | 0.514286 |
d61ce7ba203e31ce62c99595e2c5ae79bee8369c | 814 | py | Python | pythonProj/FZPython/datas/datas.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/datas/datas.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | null | null | null | pythonProj/FZPython/datas/datas.py | iHamburg/FZQuant | 86b750ec33d01badfd3f324d6f1599118b9bf8ff | [
"MIT"
] | 2 | 2019-04-10T10:05:00.000Z | 2021-11-24T17:17:23.000Z | #!/usr/bin/env python
# coding: utf8
import tushare as ts
import backtrader as bt
import pandas as pd
#下载上证综指 20年的数据
codeList = []
df = ts.get_k_data('000002',index=False,start='1990-01-01')
# df = ts.get_k_data('600435',index=True,start='2016-01-01')
df = df.set_index('date')
# df.to_csv('index/399006.csv', column... | 24.666667 | 79 | 0.59828 |
61a6a97a3a0e8481d6750c4a618a7570c7281e48 | 849 | py | Python | system/withdraw.py | billalxcode/ATM-cli | 68e295b1e3c152ee5c35913af84d72468cab06e0 | [
"MIT"
] | null | null | null | system/withdraw.py | billalxcode/ATM-cli | 68e295b1e3c152ee5c35913af84d72468cab06e0 | [
"MIT"
] | null | null | null | system/withdraw.py | billalxcode/ATM-cli | 68e295b1e3c152ee5c35913af84d72468cab06e0 | [
"MIT"
] | null | null | null | from .database import Database
class Withdraw:
def __init__(self) -> None:
self.connection = Database("database/database.db")
self.connection.connect()
def get(self, card, nominal=0):
if int(nominal) <= 10000:
print ("[INFO]: Minimal penarikan 10 ribu")
return F... | 38.590909 | 100 | 0.552415 |
4eeaf58a17ac8c23669f9ce4e5b6c9559977c847 | 516 | py | Python | tensorflow/2.1-gpu/save.py | newnius/YAO-Dockerfiles | eb0e494f20dcc0959ef550e4bf55e2015baf45ec | [
"Apache-2.0"
] | 2 | 2020-07-29T08:57:40.000Z | 2020-07-31T06:38:25.000Z | tensorflow/1.14-gpu/save.py | newnius/YAO-Dockerfiles | eb0e494f20dcc0959ef550e4bf55e2015baf45ec | [
"Apache-2.0"
] | null | null | null | tensorflow/1.14-gpu/save.py | newnius/YAO-Dockerfiles | eb0e494f20dcc0959ef550e4bf55e2015baf45ec | [
"Apache-2.0"
] | 2 | 2020-07-29T09:01:59.000Z | 2020-12-17T13:07:34.000Z | from hdfs import *
import os
import time
if __name__ == '__main__':
os.environ["TZ"] = 'Asia/Shanghai'
if hasattr(time, 'tzset'):
time.tzset()
try:
hdfs_address = os.environ['hdfs_address']
hdfs_dir = os.environ['hdfs_dir']
output_dir = os.environ['output_dir']
client = Client(hdfs_addr... | 24.571429 | 71 | 0.653101 |
f624bb6227580bc61e0e6a8eb43dfd9747bc731f | 230 | py | Python | Licence 2/I33/TP 2/ex_2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 2/I33/TP 2/ex_2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 2/I33/TP 2/ex_2.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | def euclide_e(a, n):
u, v = 1, 0
u1, v1 = 0, 1
while n > 0:
u1_t = u - a // n * u1
v1_t = v - a // n * v1
u, v = u1, v1
u1, v1 = u1_t, v1_t
a, n = n, a - a // n * n;
return [u, v, a]
print(euclide_e(39, 5))
| 16.428571 | 27 | 0.434783 |
9c95e15bffddf566c840fe27327f41749dc01a86 | 541 | py | Python | Coursera/Interfacing with the Raspberry Pi/Week-2/Excercise/Server.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 331 | 2019-10-22T09:06:28.000Z | 2022-03-27T13:36:03.000Z | Coursera/Interfacing with the Raspberry Pi/Week-2/Excercise/Server.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 8 | 2020-04-10T07:59:06.000Z | 2022-02-06T11:36:47.000Z | Coursera/Interfacing with the Raspberry Pi/Week-2/Excercise/Server.py | rishav3101/Online-Courses-Learning | 1e9356af331b27b6ee33d376d8d7104edaeac2fa | [
"MIT"
] | 572 | 2019-07-28T23:43:35.000Z | 2022-03-27T22:40:08.000Z | import socket
import sys
#b
if __name__ == '__main__':
ip = 'x.x.x.x'
port = 1234
mysocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
mysocket.bind((ip, 1234))
except socket.error:
print("Failed to bind")
sys.exit()
mysocket.listen(5)
while True:... | 19.321429 | 64 | 0.57671 |
14a80c4e214db0e123a0dab4bd743d4715183091 | 979 | py | Python | DataStructures/BalancedTrees/Median.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/BalancedTrees/Median.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | DataStructures/BalancedTrees/Median.py | baby5/HackerRank | 1e68a85f40499adb9b52a4da16936f85ac231233 | [
"MIT"
] | null | null | null | #coding:utf-8
import bisect
N = int(raw_input())
array = []
for _ in range(N):
operation, x = raw_input().split()
if operation == 'a':
#array.append(int(x))
#array.sort()
bisect.insort(array, int(x))
length = len(array)
if length % 2 == 0:
index = length / 2... | 26.459459 | 61 | 0.443309 |
2ecb9a5df6a2384cb617dc9d5d10bdedab19dae6 | 2,547 | py | Python | demos/process-results.py | allprojects/thesis-consyst-operation-types | fbed2cabadd96958e11f6f60f531081cee44ad91 | [
"Apache-2.0"
] | 1 | 2021-03-30T19:36:13.000Z | 2021-03-30T19:36:13.000Z | demos/process-results.py | allprojects/thesis-consyst-operation-types | fbed2cabadd96958e11f6f60f531081cee44ad91 | [
"Apache-2.0"
] | null | null | null | demos/process-results.py | allprojects/thesis-consyst-operation-types | fbed2cabadd96958e11f6f60f531081cee44ad91 | [
"Apache-2.0"
] | null | null | null | import csv
import sys
import argparse
import os
# import plotly.graph_objects as go
# import plotly.express as px
import pandas as pd
import numpy as np, scipy.stats as st
arg_parser = argparse.ArgumentParser(description='Process benchmark outputs.')
arg_parser.add_argument('output', metavar='Output',
help='Name of ... | 31.060976 | 133 | 0.704751 |
d33cd300bb9b9d781ad3a18a1eca6b9212de6c31 | 1,324 | py | Python | Source/09_Chat_Industrial/publisher.py | rbiotblbk/WBS_T9_2022 | 533156db88ff2fe676564b0e5d6e84e888ab0916 | [
"MIT"
] | 1 | 2022-02-28T09:49:35.000Z | 2022-02-28T09:49:35.000Z | Source/09_Chat_Industrial/publisher.py | rbiotblbk/WBS_T9_2022 | 533156db88ff2fe676564b0e5d6e84e888ab0916 | [
"MIT"
] | null | null | null | Source/09_Chat_Industrial/publisher.py | rbiotblbk/WBS_T9_2022 | 533156db88ff2fe676564b0e5d6e84e888ab0916 | [
"MIT"
] | null | null | null | # pip install pubnub
from pubnub.callbacks import SubscribeCallback
from pubnub.enums import PNStatusCategory
from pubnub.pnconfiguration import PNConfiguration
from pubnub.pubnub import PubNub
import os
from pathlib import Path
import json
os.chdir(Path(__file__).parent)
# Read Config
with open("./pubnub.json... | 22.440678 | 86 | 0.719789 |
d36912d73bfaa1f71d5eda5b2b7cafb0ba626d2c | 322 | py | Python | Licence 1/I22/TP 5/tp_5_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 8 | 2020-11-26T20:45:12.000Z | 2021-11-29T15:46:22.000Z | Licence 1/I22/TP 5/tp_5_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | null | null | null | Licence 1/I22/TP 5/tp_5_3.py | axelcoezard/licence | 1ed409c4572dea080169171beb7e8571159ba071 | [
"MIT"
] | 6 | 2020-10-23T15:29:24.000Z | 2021-05-05T19:10:45.000Z | def majuscule(chaine):
whitelist = "abcdefghijklmnopqrstuvwxyz"
chrs = [chr(ord(c) - 32) if c in whitelist else c for c in chaine]
return "".join(chrs)
print(majuscule("axel coezard"))
def val2ascii(entier):
ch = ""
for i in range(entier):
ch = chr(ord(ch) + 1)
print(ch)
val2ascii(355... | 21.466667 | 70 | 0.630435 |
d3b049472c8a20a967c5e9b77793036d8612972a | 419 | py | Python | source/blog/migrations/0003_blogpost_author.py | JakubGutowski/PersonalBlog | 96122b36486f7e874c013e50d939732a43db309f | [
"BSD-3-Clause"
] | null | null | null | source/blog/migrations/0003_blogpost_author.py | JakubGutowski/PersonalBlog | 96122b36486f7e874c013e50d939732a43db309f | [
"BSD-3-Clause"
] | null | null | null | source/blog/migrations/0003_blogpost_author.py | JakubGutowski/PersonalBlog | 96122b36486f7e874c013e50d939732a43db309f | [
"BSD-3-Clause"
] | null | null | null | # Generated by Django 2.0.5 on 2018-06-23 18:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0002_auto_20180616_1236'),
]
operations = [
migrations.AddField(
model_name='blogpost',
name='... | 22.052632 | 69 | 0.575179 |
9f2a1cbf98036ecfa33762b217555321b413ef81 | 1,215 | py | Python | src/logging/test/tango_test.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 2 | 2019-07-15T09:49:34.000Z | 2019-10-14T16:04:17.000Z | src/logging/test/tango_test.py | ska-telescope/sdp-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 17 | 2019-07-15T14:51:50.000Z | 2021-06-02T00:29:43.000Z | src/logging/test/tango_test.py | ska-telescope/sdp-configuration-prototype | 8c6cbda04a83b0e16987019406ed6ec7e1058a31 | [
"BSD-3-Clause"
] | 1 | 2019-10-10T08:16:48.000Z | 2019-10-10T08:16:48.000Z | # -*- coding: utf-8 -*-
# pylint: disable=invalid-name
# pylint: disable=too-few-public-methods
# pylint: disable-msg=E0611
# pylint: disable-msg=E0401
# pylint: disable-msg=R0201
# pylint: disable-msg=E1120
# pylint: disable-msg=C0111
# pylint: disable-msg=W0621
# pylint: disable-msg=W0613
# pylint: disable=fixme
imp... | 25.851064 | 79 | 0.704527 |
e2940c70e0b67269ae269c3ff5a70c9c8fb20cf9 | 12,191 | py | Python | Packs/NetscoutArborSightline/Integrations/NetscoutArborSightline/NetscoutArborSightline_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/NetscoutArborSightline/Integrations/NetscoutArborSightline/NetscoutArborSightline_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/NetscoutArborSightline/Integrations/NetscoutArborSightline/NetscoutArborSightline_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import io
from copy import deepcopy
import pytest
from NetscoutArborSightline import NetscoutClient, \
fetch_incidents_command, list_alerts_command, alert_annotation_list_command, mitigation_list_command, \
mitigation_template_list_command, router_list_command, tms_group_list_command, managed_objec... | 41.75 | 119 | 0.684357 |
2c33352508590e61164c232379f14d63d7be6d86 | 62 | py | Python | test Text implementieren.py | abbashan03/Kinduino | 292be35053763ee593b5721bf7ce450ec4dc1603 | [
"MIT"
] | null | null | null | test Text implementieren.py | abbashan03/Kinduino | 292be35053763ee593b5721bf7ce450ec4dc1603 | [
"MIT"
] | null | null | null | test Text implementieren.py | abbashan03/Kinduino | 292be35053763ee593b5721bf7ce450ec4dc1603 | [
"MIT"
] | null | null | null | f = open("Testabc.txt", "r")
daten = f.read()
print(daten)
| 15.5 | 29 | 0.580645 |
2ccda491b969e54a5ab9eb3be3e79624f53f25af | 404 | py | Python | listings/chapter04/triangle.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | 2 | 2021-09-20T06:16:41.000Z | 2022-01-17T14:24:43.000Z | listings/chapter04/triangle.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | listings/chapter04/triangle.py | SaschaKersken/Daten-Prozessanalyse | 370f07a75b9465329deb3671adbfbef8483f76f6 | [
"Apache-2.0"
] | null | null | null | import matplotlib.pyplot as plt
plt.xlabel('x')
plt.ylabel('y')
plt.scatter([-3, 3, 3], [-3, -3, 3])
plt.annotate('A', (-3, -3))
plt.annotate('B', (3, -3))
plt.annotate('C', (3, 3))
plt.plot([-3, 3], [-3, -3])
plt.plot([3, 3], [-3, 3])
plt.plot([3, -3], [3, -3])
plt.text(0, -3.2, 'c')
plt.text(3.1, 0, 'a')
plt.text(-0... | 21.263158 | 36 | 0.556931 |
b3c43eacedb82f18f1352631cc2d6cb195700eea | 287 | py | Python | kong/test-server.py | IBBD/dockerfiles | d4c7f5b95ed80a400e494d458f1bd53cd4710c23 | [
"MIT"
] | null | null | null | kong/test-server.py | IBBD/dockerfiles | d4c7f5b95ed80a400e494d458f1bd53cd4710c23 | [
"MIT"
] | null | null | null | kong/test-server.py | IBBD/dockerfiles | d4c7f5b95ed80a400e494d458f1bd53cd4710c23 | [
"MIT"
] | 2 | 2018-09-19T08:28:50.000Z | 2020-04-27T13:13:24.000Z | # -*- coding: utf-8 -*-
#
# 测试server
# Author: alex
# Created Time: 2018年12月29日 星期六 20时30分34秒
def hello(name='world'):
return 'Hello {name} in func!'.format(name=name)
if __name__ == '__main__':
from fireRest import API, app
API(hello)
app.run(debug=True, port=5000)
| 17.9375 | 52 | 0.651568 |
b3fc655226107b2eef0972e63b4d1bf8b28420c6 | 4,626 | py | Python | Packs/Viper/Integrations/Viper/Viper.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Viper/Integrations/Viper/Viper.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Viper/Integrations/Viper/Viper.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
''' IMPORTS '''
import requests
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
class ViperClient(BaseClient):
"""
Client will implement the service API, and should not contain any Demisto log... | 30.434211 | 116 | 0.597925 |
205c1c2880331000e57db020ce9cec7228d83c07 | 6,393 | py | Python | agents/ac_dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 2 | 2022-02-24T08:21:49.000Z | 2022-03-10T08:57:35.000Z | agents/ac_dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | 1 | 2022-02-24T08:40:21.000Z | 2022-02-24T12:01:58.000Z | agents/ac_dqn.py | yerfor/Soft-DRGN | 0c96d1ea295077b949229261c37d8dde25001a03 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
import torch.nn.functional as F
from modules.ac_dqn import ActorDQNNetwork, CriticDQNNetwork
from agents.base_agent import BaseActorCriticAgent
from utils.hparams import hparams
from utils.numba_utils import *
from utils.torch_utils import *
class ActorCriticDQNAgent(BaseActorCriti... | 43.787671 | 108 | 0.60488 |
2065124aae29cd6bad906b99db7fdcb54dbb8442 | 3,107 | py | Python | 5_DeepLearning-Visualization/3-Keract_CNN_HeatMap.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 5_DeepLearning-Visualization/3-Keract_CNN_HeatMap.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | 5_DeepLearning-Visualization/3-Keract_CNN_HeatMap.py | felixdittrich92/DeepLearning-tensorflow-keras | 2880d8ed28ba87f28851affa92b6fa99d2e47be9 | [
"Apache-2.0"
] | null | null | null | '''
komplette Visualisierung der Schritte des Netzes mit Keract -> ziemlich cool
'''
import os
import keract
import numpy as np
from sklearn.model_selection import train_test_split
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.la... | 27.990991 | 86 | 0.674284 |
20d16156bfffe09f0c26fd3c8ff0353e54619a75 | 2,589 | py | Python | Entnahmesimulation.py | ThoEngel/rentenplanung | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | 3 | 2022-01-01T18:24:46.000Z | 2022-01-08T15:28:46.000Z | Entnahmesimulation.py | ThoEngel/Finanzen-Simuliert | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | null | null | null | Entnahmesimulation.py | ThoEngel/Finanzen-Simuliert | 879c9a678ba1ff951a1f92b0c42673a7943a18e6 | [
"MIT"
] | null | null | null | '''
Vorsicht vor der 4%-Regel
https://www.finanzen-erklaert.de/vorsicht-vor-der-4-regel/
'''
import pandas as pd
import time
from SEsimulation.mDate import mDate
from SEsimulation import SEsimulation
import plotly.express as px
import numpy as np
print('Start')
starttime = time.time()
# Lesen monatliche S&P500 Dat... | 34.065789 | 119 | 0.625338 |
ff7cbed85adf70a5a3eaa842a99f8ca081372761 | 40 | py | Python | haferml/__init__.py | emptymalei/haferml | ba193ce1c022c89fb4e88924b7bb7a05b676929a | [
"MIT"
] | 11 | 2021-04-17T18:51:45.000Z | 2021-06-25T19:42:25.000Z | haferml/__init__.py | emptymalei/haferml | ba193ce1c022c89fb4e88924b7bb7a05b676929a | [
"MIT"
] | 3 | 2021-04-29T19:24:15.000Z | 2021-05-21T04:30:54.000Z | haferml/__init__.py | emptymalei/haferml | ba193ce1c022c89fb4e88924b7bb7a05b676929a | [
"MIT"
] | 2 | 2021-06-10T00:55:43.000Z | 2021-12-30T07:37:07.000Z | from haferml.version import __version__
| 20 | 39 | 0.875 |
440799a851de9679778ae473f11b0954fc63a35d | 2,304 | py | Python | plotter.py | lastleon/EvolutionSimulator | 3dace3bd07044c0af27c4805ee79b9dd11c45826 | [
"MIT"
] | 2 | 2017-12-14T20:54:21.000Z | 2018-03-05T18:31:43.000Z | plotter.py | lastleon/EvolutionSimulator | 3dace3bd07044c0af27c4805ee79b9dd11c45826 | [
"MIT"
] | 1 | 2018-03-11T20:40:24.000Z | 2018-05-06T16:26:30.000Z | plotter.py | lastleon/EvolutionSimulator | 3dace3bd07044c0af27c4805ee79b9dd11c45826 | [
"MIT"
] | 1 | 2017-12-06T20:29:18.000Z | 2017-12-06T20:29:18.000Z | import os
import matplotlib.pyplot as plt
from ast import literal_eval as make_tuple
myIndex = int(input("Plotindex: "))
x = []
y = []
currDir = os.path.dirname(__file__)
path = currDir + "/data/ältestesLw/ältestesLw%s.txt"% myIndex
try:
with open(path) as data:
data = data.read().split(... | 22.588235 | 86 | 0.516493 |
441e96f18b9bdd5933a138f55f2d8708ce2cc1f9 | 9,022 | py | Python | research/cv/squeezenet1_1/modelArts/train_on_modelarts.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | research/cv/squeezenet1_1/modelArts/train_on_modelarts.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | research/cv/squeezenet1_1/modelArts/train_on_modelarts.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... | 41.196347 | 112 | 0.647639 |
92298960309d93040545a8b12eb854f6416b4976 | 17,228 | py | Python | indl/model/beta_vae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | 1 | 2021-02-22T01:39:50.000Z | 2021-02-22T01:39:50.000Z | indl/model/beta_vae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | indl/model/beta_vae.py | SachsLab/indl | 531d2e0c2ee765004aedc553af40e258262f86cb | [
"Apache-2.0"
] | null | null | null | __all__ = ['generate_default_args', 'generate_default_params', 'prepare_inputs',
'create_f_encoder', 'make_f_variational', 'create_z_encoder', 'make_z_variational',
'get_z_prior']
import numpy as np
import tensorflow as tf
import tensorflow.keras.layers as tfkl
from tensorflow.keras import backe... | 45.819149 | 135 | 0.62085 |
a65069c1b3cfb81acde4553301457d0034898566 | 775 | py | Python | 04.DFS_BFS/SY/b1260_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 04.DFS_BFS/SY/b1260_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 04.DFS_BFS/SY/b1260_SY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | # b1260
import sys
from collections import deque
def DFS(v):
visit_D[v] = 1
print(v, end = " ")
for i in range(1, n + 1):
if visit_D[i] == 0 and graph[v][i] == 1 :
DFS(i)
def BFS(v):
q = deque()
q.append(v)
visit_B[v] = 1
while q:
v = q.popleft()
print(v... | 19.871795 | 53 | 0.468387 |
5bd398812029a6c03bb794ddaf5be383498f5fa8 | 11,611 | py | Python | packages/watchmen-utilities/src/watchmen_utilities/datetime_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-utilities/src/watchmen_utilities/datetime_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-utilities/src/watchmen_utilities/datetime_helper.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from datetime import date, datetime, time, timedelta
from decimal import Decimal
from enum import Enum
from json import JSONEncoder
from re import sub
from typing import Any, List, Optional, Tuple, Union
from .array_helper import ArrayHelper
class DateTimeEncoder(JSONEncoder):
def default(self, o):
if isinstance(... | 28.319512 | 115 | 0.720351 |
1b4652dffd6c7f8f74860a065e98ab012675f6ba | 5,200 | py | Python | tests/onegov/fsi/test_models.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/fsi/test_models.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/fsi/test_models.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import datetime
from sedate import utcnow
from onegov.fsi.models.course_attendee import CourseAttendee
from onegov.fsi.models.course_event import CourseEvent
from onegov.fsi.models.course_notification_template import get_template_default
from onegov.fsi.models.course_subscription import CourseSubscription
def test_a... | 35.135135 | 79 | 0.735962 |
04793fb03b0e4a3d04cf47dc8afa445e2b0a4477 | 1,603 | py | Python | pizza/tests/test_module_pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | null | null | null | pizza/tests/test_module_pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | null | null | null | pizza/tests/test_module_pizza.py | gray-adeyi/pizza | 659db6e85492903374416295cc3ca3a78584eccb | [
"MIT"
] | 1 | 2022-03-17T00:54:27.000Z | 2022-03-17T00:54:27.000Z | import unittest
from ..pizza import (
Gender,
MailTemplate,
User,
AddressBook,
Setting,
MailTemplateBook,
)
class PizzaTest(unittest.TestCase):
def test_user_model(self):
user = User('gbenga', 'adeyi', 'adeyigbenga005@gmail.com', Gender.male)
self.assertEqual(user.gender, ... | 34.847826 | 139 | 0.644417 |
047bc3f27311aade1b6443a981a8ece6acc26357 | 6,552 | py | Python | SBTK_League_Helper/update_tournaments.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/update_tournaments.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | SBTK_League_Helper/update_tournaments.py | juanchodepisa/sbtk | 7cba7748e75a02b491e551d6c1be9bd7987c5051 | [
"MIT"
] | null | null | null | from src.interfacing.ogs.connect import Authentication
import codecs
import sys
import os
from time import sleep
def loadList(pNameFile):
iList = []
with codecs.open(pNameFile, "r", "utf-8") as f:
for line in f:
iList.append(line)
return iList
if __name__ == "__main__":
a = ... | 36 | 171 | 0.608364 |
b6fda47987073139c9ff2a0bdbc46017f6efc8d8 | 721 | py | Python | config.py | persquare/ZK2 | 5c00d0a5a59123931848259286bb13bb86c5396b | [
"MIT"
] | 2 | 2020-03-05T16:01:17.000Z | 2020-09-25T11:28:27.000Z | config.py | persquare/ZK2 | 5c00d0a5a59123931848259286bb13bb86c5396b | [
"MIT"
] | null | null | null | config.py | persquare/ZK2 | 5c00d0a5a59123931848259286bb13bb86c5396b | [
"MIT"
] | null | null | null | #
# Location of ZK-notes
# Defaults to "~/.zk"
# Can be overridden on commandline when starting server)
#
# notesdir = "~/Library/Mobile Documents/com~apple~CloudDocs/zk"
# notesdir = "~/mynotes"
#
# Editor
# Defaults to "/usr/bin/nano"
#
# editor = "/usr/local/bin/mate"
# editor = "/usr/local/bin/bbedit"
#
# M... | 24.862069 | 78 | 0.682386 |
8e27be64dcad3409d7806f927914b835288f276f | 475 | py | Python | FlaskOccupations/util/minify.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | FlaskOccupations/util/minify.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | FlaskOccupations/util/minify.py | kkysen/Soft-Dev | b19881b1fcc9c7daefc817e6b975ff6bce545d81 | [
"Apache-2.0"
] | null | null | null | import bs4
import htmlmin
import flask
def prettify(html):
# type: (str) -> str
soup = bs4.BeautifulSoup(html, 'html.parser')
return soup.prettify()
def minify(app):
# type: (flask.Flask) -> None
wrapped = prettify if app.debug else htmlmin.minify
@app.after_request
def minifying_filter... | 22.619048 | 67 | 0.671579 |
edd63906a404ad8c346076aa9f39ad9f1e8891c7 | 168 | py | Python | aoc2020/day_15/part_2.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_15/part_2.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | aoc2020/day_15/part_2.py | en0/aoc2020 | a2f41b909dffe1f366682b3d03fd5fbdbc924ec0 | [
"MIT"
] | null | null | null | from .part_1 import Solution as Part1
class Solution(Part1):
expected = 436
def solve(self) -> any:
# /shrug
return self.spoken_at(30000000)
| 16.8 | 39 | 0.636905 |
949082f6dc27e1799babb6fb321a50e4212c03cf | 6,739 | py | Python | tests/onegov/core/test_cronjobs.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_cronjobs.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/core/test_cronjobs.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import requests
from datetime import datetime
from freezegun import freeze_time
from onegov.core import Framework
from onegov.core.cronjobs import parse_cron, Job
from onegov.core.utils import scan_morepath_modules
from pytest_localserver.http import WSGIServer
from sedate import replace_timezone
from sqlalchemy.ext.d... | 30.355856 | 78 | 0.593411 |
bfa8e961e83f3d24fc629fcaaf1cca1650b03496 | 368 | py | Python | src/dfs/dfs.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | src/dfs/dfs.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | src/dfs/dfs.py | jwvg0425/DSAndAlgo3 | 173ccf717b84610def861854736c3b16a57ac727 | [
"MIT"
] | null | null | null | class Node:
def __init__(self, value, adj):
self.value = value
self.adj = adj
self.visited = False
def dfs(graph):
for source in graph:
source.visited = True
dfs_node(source)
def dfs_node(node):
print(node.value)
for e in node.adj:
if not e.visited:
... | 21.647059 | 35 | 0.559783 |
44cd4fa2ede3b7e3cd97ae2ef6df746e454a2041 | 4,386 | py | Python | Scripts/syncWiki.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 40 | 2016-09-13T12:54:11.000Z | 2021-09-05T18:45:38.000Z | Scripts/syncWiki.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 351 | 2016-08-10T17:58:38.000Z | 2021-09-15T12:19:48.000Z | Scripts/syncWiki.py | HuttonICS/API | 22d61759a77f2ab3c4e610bb251684c78f71d2e6 | [
"MIT"
] | 32 | 2016-09-09T16:04:01.000Z | 2021-01-21T13:27:40.000Z | #! /usr/bin/env python
import yaml
import glob
import sys
import json
import os
import requests
from time import sleep
def login(session, username, password):
# get login token
r1 = session.get(api_url, params={
'format': 'json',
'action': 'query',
'meta': 'tokens',
'type': 'login',
}, verify=... | 25.062857 | 91 | 0.637255 |
78610a3d99c5b8f59465d14df9217985b3fdbdb5 | 366 | py | Python | restraunt/django_project/dashboard/views.py | rakesh-gopal/restraunt_dashboard | 8eba72dabd9de27500b184b18e02b43dfdc7da89 | [
"MIT"
] | null | null | null | restraunt/django_project/dashboard/views.py | rakesh-gopal/restraunt_dashboard | 8eba72dabd9de27500b184b18e02b43dfdc7da89 | [
"MIT"
] | null | null | null | restraunt/django_project/dashboard/views.py | rakesh-gopal/restraunt_dashboard | 8eba72dabd9de27500b184b18e02b43dfdc7da89 | [
"MIT"
] | null | null | null | from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse
from libs.decorators import json_view
from dashboard import documents
@json_view
def index(request):
docs_count = documents.Actions.objects().count()
return {
'status': 'ok',
'results': 'hello ... | 20.333333 | 52 | 0.693989 |
78815d9fe318aa9c6bc1d3741d354564147b0c2a | 1,475 | py | Python | Problems/LinkedList/Medium/LRUCache/lru_cache.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/LinkedList/Medium/LRUCache/lru_cache.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | Problems/LinkedList/Medium/LRUCache/lru_cache.py | dolong2110/Algorithm-By-Problems-Python | 31ecc7367aaabdd2b0ac0af7f63ca5796d70c730 | [
"MIT"
] | null | null | null | from typing import Optional
class Node:
def __init__(self, key: int, val: int) -> None:
self.key = key
self.val = val
self.prev = None
self.next = None
class LRUCache:
def __init__(self, capacity: int) -> None:
self.capacity = capacity
self.dic = dict()
... | 27.830189 | 63 | 0.568814 |
155e11485aac914ffeff5271972b2326b37e3bfb | 489 | py | Python | monitor/monitorfunctions.py | magns12/python-hwmonitor | 12bceb82303ebcd22a2ef1be1c5afee0c29da269 | [
"MIT"
] | null | null | null | monitor/monitorfunctions.py | magns12/python-hwmonitor | 12bceb82303ebcd22a2ef1be1c5afee0c29da269 | [
"MIT"
] | null | null | null | monitor/monitorfunctions.py | magns12/python-hwmonitor | 12bceb82303ebcd22a2ef1be1c5afee0c29da269 | [
"MIT"
] | 2 | 2021-03-22T09:32:14.000Z | 2021-03-22T09:43:14.000Z | # SQL-Code ausführen, Parameter: Datenbank (die Verbindung), und der SQL-Befehl
def executeSQL(db, sql, dictionary=True):
# Cursor setzen und Daten als Dictionary speichern, außer die Variabe wurde auf "FALSE" gesetzt
if dictionary == True:
cursor = db.cursor(dictionary=True)
else:
... | 34.928571 | 103 | 0.627812 |
eca0c26cac4c3e497cb207bc77bebfca04c5e6f2 | 660 | py | Python | Intro-Python-II/src/test_adv.py | tobias-fyi/01_intro_python | c56645291b8bce94d8511c3277fefba1fe8add89 | [
"MIT"
] | null | null | null | Intro-Python-II/src/test_adv.py | tobias-fyi/01_intro_python | c56645291b8bce94d8511c3277fefba1fe8add89 | [
"MIT"
] | 8 | 2020-03-24T17:47:23.000Z | 2022-03-12T00:33:21.000Z | cs/lambda_cs/01_intro_python/Intro-Python-II/src/test_adv.py | tobias-fyi/vela | b0b3d3c6dc3fa397c8c7a492098a02cf75e0ff82 | [
"MIT"
] | null | null | null | """
BeWilder - text adventure game :: Game tests
All tests implemented in Pytest.
"""
# Third-party imports
import pytest
# Local imports
from .room import Room
from .player import Player
narrow_name = "Narrow Passage"
narrow_description = """The narrow passage bends here from west
to north. The smell of gold per... | 20 | 63 | 0.731818 |
1709fabc685eb78da9432070ff451e971eef5cc4 | 25,589 | py | Python | isp/config.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | isp/config.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | isp/config.py | MePyDo/pygqa | 61cde42ee815968fdd029cc5056ede3badea3d91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
config
======
logging
-------
logging verwenden::
import logging
logger = logging.getLogger( "MQTT" )
debug Meldungen ausgeben::
logger.setLevel( logging.DEBUG )
logging level:
* CRITICAL - 50
* ERROR - 40
* WARNING - 30
* INFO - 20
* DEBUG - 10
* NOTSET - 0
CHANGELOG... | 30.140165 | 209 | 0.559576 |
e531d824abbcc5d33c9e24616b212ac2e1f9e390 | 208 | py | Python | tests/model/test_direction.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 3 | 2021-01-17T23:32:07.000Z | 2022-01-30T14:49:16.000Z | tests/model/test_direction.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-01-17T13:37:56.000Z | 2021-04-14T12:28:49.000Z | tests/model/test_direction.py | jonashellmann/informaticup21-team-chillow | f2e519af0a5d9a9368d62556703cfb1066ebb58f | [
"MIT"
] | 2 | 2021-04-02T14:53:38.000Z | 2021-04-20T11:10:17.000Z | import unittest
from chillow.model.direction import Direction
class DirectionTest(unittest.TestCase):
def test_should_have_four_different_directions(self):
self.assertEqual(len(Direction), 4)
| 20.8 | 57 | 0.793269 |
00d95248d16f3bce6d6d04804049d3a4454d28bf | 1,611 | py | Python | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/patterns/behavioral/visitor.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/patterns/behavioral/visitor.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/_External-learning-resources/02-pyth/python-patterns-master/patterns/behavioral/visitor.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | 1 | 2021-11-05T07:48:26.000Z | 2021-11-05T07:48:26.000Z | """
http://peter-hoffmann.com/2010/extrinsic-visitor-pattern-python-inheritance.html
*TL;DR
Separates an algorithm from an object structure on which it operates.
An interesting recipe could be found in
Brian Jones, David Beazley "Python Cookbook" (2013):
- "8.21. Implementing the Visitor Pattern"
- "8.22. Implementin... | 21.48 | 101 | 0.631906 |
daba2095a29b38a51fc77657afae60823560bf9c | 33,415 | py | Python | Contrib-Microsoft/Olympus_rack_manager/python-ocs/rackmanager/legacy/response_handler.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 5 | 2019-11-11T07:57:26.000Z | 2022-03-28T08:26:53.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/rackmanager/legacy/response_handler.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 3 | 2019-09-05T21:47:07.000Z | 2019-09-17T18:10:45.000Z | Contrib-Microsoft/Olympus_rack_manager/python-ocs/rackmanager/legacy/response_handler.py | opencomputeproject/Rack-Manager | e1a61d3eeeba0ff655fe9c1301e8b510d9b2122a | [
"MIT"
] | 11 | 2019-07-20T00:16:32.000Z | 2022-01-11T14:17:48.000Z | # Copyright (C) Microsoft Corporation. All rights reserved.
# 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 2
# of the License, or (at your option) any later version.
from xml.e... | 32.347531 | 100 | 0.572408 |
daf9c059842880d542a5a00badf6026bbe5bed0e | 901 | py | Python | src/onegov/activity/matching/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/matching/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/matching/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.activity.matching.core import deferred_acceptance
from onegov.activity.matching.core import deferred_acceptance_from_database
from onegov.activity.matching.interfaces import MatchableBooking
from onegov.activity.matching.interfaces import MatchableOccasion
from onegov.activity.matching.score import PreferAd... | 37.541667 | 75 | 0.824639 |
c183780fb39ab5e0b76a41aa4fca9ee4e5451faf | 782 | py | Python | py/jpy/src/test/python/jpy_java_embeddable_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 55 | 2021-05-11T16:01:59.000Z | 2022-03-30T14:30:33.000Z | py/jpy/src/test/python/jpy_java_embeddable_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 943 | 2021-05-10T14:00:02.000Z | 2022-03-31T21:28:15.000Z | py/jpy/src/test/python/jpy_java_embeddable_test.py | devinrsmith/deephaven-core | 3a6930046faf1cd556f62a914ce1cfd7860147b9 | [
"MIT"
] | 29 | 2021-05-10T11:33:16.000Z | 2022-03-30T21:01:54.000Z | import unittest
import jpyutil
jpyutil.init_jvm(jvm_maxmem='512M', jvm_classpath=['target/test-classes', 'target/classes'])
import jpy
class TestJavaTests(unittest.TestCase):
def testStartingAndStoppingIfAvailable(self):
PyLibTest = jpy.get_type('org.jpy.EmbeddableTest')
PyLibTest.testStartingAndStoppingIf... | 27.928571 | 92 | 0.755754 |
8220c49e6caf26f7771a2a0550aadc76fed525a4 | 475 | py | Python | exercises/zh/solution_02_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/zh/solution_02_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/zh/solution_02_06.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | from spacy.lang.zh import Chinese
nlp = Chinese()
# 导入Doc和Span类
from spacy.tokens import Doc, Span
words = ["我", "喜欢", "周", "杰伦"]
spaces = [False, False, False, False]
# 用words和spaces创建一个doc
doc = Doc(nlp.vocab, words=words, spaces=spaces)
print(doc.text)
# 为doc中的"周杰伦"创建一个span，并赋予其"PERSON"的标签
span = Span(doc, 2, 4... | 19.791667 | 51 | 0.705263 |
68bb87ab04e5ad43b0606b6bdb17bca3c0bab848 | 8,222 | py | Python | PySQL-master/sql.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | PySQL-master/sql.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | PySQL-master/sql.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | #!/dimana saja
# coding=utf-8
"""
- PySQL
# Usage = python3
# Asthor = Karjoq-Kun With Dobleh-Kun
# Source : https://github.com/rezadkim
"""
# WARNA #
t = "\033[1;97m"
m = "\033[1;91m"
u = "\033[1;95m"
h = "\033[1;92m"
k = "\033[1;93m"
b = "\033[1;96m"
logo = t+"""
╔═╗"""+m+"""┬ ┬"""+t+"""╔═╗╔═╗ ╦
╠═╝"""+m+"""└┬┘"""+t+... | 29.898182 | 158 | 0.541109 |
68bec5f62665ea179108d683571a7b699a736f26 | 1,902 | py | Python | code/selfish_proxy/strategy/strategies.py | simonmulser/master-thesis | 5ca2ddda377a0eede5a3c50866e0f90292c5448f | [
"CC-BY-4.0"
] | null | null | null | code/selfish_proxy/strategy/strategies.py | simonmulser/master-thesis | 5ca2ddda377a0eede5a3c50866e0f90292c5448f | [
"CC-BY-4.0"
] | null | null | null | code/selfish_proxy/strategy/strategies.py | simonmulser/master-thesis | 5ca2ddda377a0eede5a3c50866e0f90292c5448f | [
"CC-BY-4.0"
] | 1 | 2019-06-05T09:10:30.000Z | 2019-06-05T09:10:30.000Z | selfish_mining_strategy = \
[
[ # irrelevant
['*', '*', '*', '*', '*', '*', '*', '*', '*', '*'],
['w', '*', 'a', '*', '*', '*', '*', '*', '*', '*'],
['w', 'w', '*', 'a', '*', '*', '*', '*', '*', '*'],
['w', 'w', 'w', '*', 'a', '*', '*', '*', '*', '*'],
['w', 'w', 'w', 'w', '... | 47.55 | 59 | 0.099369 |
68f158bf3e6c2594b09794878631c6ca447de9ed | 15,681 | py | Python | cloudmesh/volume/oracle/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-12T09:49:53.000Z | 2020-03-12T09:49:53.000Z | cloudmesh/volume/oracle/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 1 | 2020-03-25T00:47:12.000Z | 2020-03-30T23:32:00.000Z | cloudmesh/volume/oracle/Provider.py | cloudmesh/cloudmesh-volume | a7502d077f2fb7c6b1b7986da9595a36591b06cd | [
"Apache-2.0"
] | 5 | 2020-02-20T01:04:24.000Z | 2020-05-05T14:36:30.000Z | import oci
from cloudmesh.common.console import Console
from cloudmesh.common.dotdict import dotdict
from cloudmesh.configuration.Config import Config
from cloudmesh.volume.VolumeABC import VolumeABC
from cloudmesh.mongo.CmDatabase import CmDatabase
class Provider(VolumeABC):
kind = "oracle"
sample = """
... | 34.846667 | 79 | 0.536254 |
2e41059737f4d221e7f02145402803f82b9e1f7c | 2,196 | py | Python | tests/MyFuncLogin.py | mribrgr/StuRa-Mitgliederdatenbank | 87a261d66c279ff86056e315b05e6966b79df9fa | [
"MIT"
] | 8 | 2019-11-26T13:34:46.000Z | 2021-06-21T13:41:57.000Z | src/tests/MyFuncLogin.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 93 | 2019-12-16T09:29:10.000Z | 2021-04-24T12:03:33.000Z | src/tests/MyFuncLogin.py | Sumarbrander/Stura-Mitgliederdatenbank | 691dbd33683b2c2d408efe7a3eb28e083ebcd62a | [
"MIT"
] | 2 | 2020-12-03T12:43:19.000Z | 2020-12-22T21:48:47.000Z | from django.urls import reverse
def loginAsLukasAdmin(self):
"""
Opens a Browser instance and login as admin with the account testlukasadmin.
:param self:
:type self:
:return: No return Value
"""
# Öffnen eines Browsers
try:
self.browser.get(self.live_server_u... | 28.894737 | 84 | 0.670765 |
cf122f5b78a949507c5b594af369c2e1f590face | 2,027 | py | Python | src/main/python/tools/json_builder.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/tools/json_builder.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/tools/json_builder.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | 1 | 2021-04-14T00:45:38.000Z | 2021-04-14T00:45:38.000Z | import numpy
import json
from cluster.json_viewer import ClusterViwer
from context import resource_manager
def cluster_view_json_builder(clusters=[]):
"""
将用户传入的多个json格式的对象存储在json文件中
newlist【】作为list先读入文件中的数据以防止丢失，然后追加新加入的json对象（以list格式存入newlist）
:param clusters... | 37.537037 | 213 | 0.579674 |
51189f3815d7180ee5894183b2274ad8f0190351 | 543 | py | Python | Curso_Python/Secao5-modulos-uteis/133_web-scraping/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao5-modulos-uteis/133_web-scraping/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao5-modulos-uteis/133_web-scraping/main.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests # instala o html css
# pip install requests // instalando web scraping
# pip install beautifulsoup4
url = 'https://pt.stackoverflow.com/questions'
response = requests.get(url)
html = BeautifulSoup(response.text, 'html.parser')
for question in html.select('.question-sum... | 30.166667 | 55 | 0.734807 |
5ac094cbdfc2122c9de740888c1e1218a43a62ad | 4,412 | py | Python | Openharmony v1.0/third_party/ltp/testcases/realtime/tools/ftqviz.py | clkbit123/TheOpenHarmony | 0e6bcd9dee9f1a2481d762966b8bbd24baad6159 | [
"MIT"
] | 1 | 2022-02-15T08:51:55.000Z | 2022-02-15T08:51:55.000Z | hihope_neptune-oh_hid/00_src/v0.3/third_party/ltp/testcases/realtime/tools/ftqviz.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.3/third_party/ltp/testcases/realtime/tools/ftqviz.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Filename: ftqviz.py
# Author: Darren Hart <dvhltc@us.ibm.com>
# Description: Plot the time and frequency domain plots of a times and
# counts log file pair from the FTQ benchmark.
# Prerequisites: numpy, scipy, and pylab packages. For debian/ubuntu:
# ... | 28.101911 | 102 | 0.607208 |
7a298f862f68bd7b75a12e7274f9edf27416d649 | 99 | py | Python | examples/myqueryset/simplerelate/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 5 | 2020-07-14T07:48:10.000Z | 2021-12-20T21:20:10.000Z | examples/myqueryset/simplerelate/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 7 | 2021-03-26T03:13:38.000Z | 2022-03-12T00:42:03.000Z | examples/myqueryset/simplerelate/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 1 | 2021-02-16T07:04:25.000Z | 2021-02-16T07:04:25.000Z | from django.apps import AppConfig
class SimplerelateConfig(AppConfig):
name = 'simplerelate'
| 16.5 | 36 | 0.777778 |
890040b5d1c2982f33dddb934f9f149e4f4ed646 | 21,451 | py | Python | Packs/AzureStorageTable/Integrations/AzureStorageTable/AzureStorageTable.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2021-12-06T21:38:24.000Z | 2022-01-13T08:23:36.000Z | Packs/AzureStorageTable/Integrations/AzureStorageTable/AzureStorageTable.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 87 | 2022-02-23T12:10:53.000Z | 2022-03-31T11:29:05.000Z | Packs/AzureStorageTable/Integrations/AzureStorageTable/AzureStorageTable.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 2 | 2022-01-05T15:27:01.000Z | 2022-02-01T19:27:43.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
import copy
from requests import Response
DATE_FORMAT = '%Y-%m-%dT%H:%M:%S.%fZ'
account_sas_token = ""
storage_account_name = ""
class Client:
"""
API Client
"""
def __init__(self, server_url, verify, proxy, ... | 33.622257 | 121 | 0.639131 |
56c697e3c813a98f5c52b4da82cf6709ec7ed9f8 | 702 | py | Python | prak_2/draw.py | Paeti/krypto | f71b794a73170aeae4aa17712eea199a8e46afc0 | [
"MIT"
] | null | null | null | prak_2/draw.py | Paeti/krypto | f71b794a73170aeae4aa17712eea199a8e46afc0 | [
"MIT"
] | null | null | null | prak_2/draw.py | Paeti/krypto | f71b794a73170aeae4aa17712eea199a8e46afc0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
__author__ = "Patrick Reckeweg"
__copyright__ = ""
import matplotlib as mlp
import matplotlib.pyplot as plt
from random import *
import array as arr
import miller_rabbin as ml
def draw_experiment():
x = arr.array('i', [10, 100, 1000, 10000, 100000, 1000000, 10000000, 100000000, 1000... | 20.057143 | 96 | 0.591168 |
a4671a928c0178fbe90016c417d1223e45dca1ef | 346 | py | Python | abfahrt/classes/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | 1 | 2022-01-30T14:30:02.000Z | 2022-01-30T14:30:02.000Z | abfahrt/classes/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | abfahrt/classes/__init__.py | Team-Zugig-zum-Erfolg/InformatiCup | 788076ac38bf6d8f462465b7fb96db14d13bed30 | [
"MIT"
] | null | null | null | """
This is the classes-Package that includes all entity classes
"""
from abfahrt.classes.Station import *
from abfahrt.classes.Passenger import *
from abfahrt.classes.Line import *
from abfahrt.classes.Train import *
from abfahrt.classes.TrainInLine import *
from abfahrt.classes.TrainInStation import *
from abfahr... | 31.454545 | 64 | 0.794798 |
74e23aa0849fabd80d8166930d324fc90dbd8401 | 339 | py | Python | Online-Judges/DimikOJ/Python/54-hash-key.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | 3 | 2021-06-15T01:19:23.000Z | 2022-03-16T18:23:53.000Z | Online-Judges/DimikOJ/Python/54-hash-key.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | Online-Judges/DimikOJ/Python/54-hash-key.py | shihab4t/Competitive-Programming | e8eec7d4f7d86bfa1c00b7fbbedfd6a1518f19be | [
"Unlicense"
] | null | null | null | def hash_key(string):
multiplication = 1
for i in string:
multiplication *= ord(i)
return (multiplication % 97)
for i in range(int(input())):
str1, str2 = input().split()
str1_key = hash_key(str1)
str2_key = hash_key(str2)
if str1_key == str2_key:
print("YES")
else:
... | 18.833333 | 32 | 0.584071 |
74883fb137b6d9b8c4bddfc5b03ee2e5d4283ca7 | 245 | py | Python | exercises/ja/exc_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/ja/exc_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/ja/exc_02_05_02.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
nlp = spacy.blank("ja")
# Docクラスをインポート
from ____ import ____
# 作りたいテキスト：「さあ、始めよう！」
words = ["さあ", "、", "初めよう", "！"]
spaces = [____, ____, ____, ____]
# wordsとspacesからDocを作成
doc = ____(____, ____=____, ____=____)
print(doc.text)
| 16.333333 | 38 | 0.661224 |
bb28eda778d2dcf8196aafa9adc32135b8939c8f | 942 | py | Python | examples/miniportal/portal/MacrosLoader.py | Jumpscale/web | 8e8ec2ce01f3105c7647ee8a0c90af09311cbbeb | [
"Apache-2.0"
] | 1 | 2015-10-26T10:38:32.000Z | 2015-10-26T10:38:32.000Z | examples/miniportal/portal/MacrosLoader.py | Jumpscale/web | 8e8ec2ce01f3105c7647ee8a0c90af09311cbbeb | [
"Apache-2.0"
] | null | null | null | examples/miniportal/portal/MacrosLoader.py | Jumpscale/web | 8e8ec2ce01f3105c7647ee8a0c90af09311cbbeb | [
"Apache-2.0"
] | null | null | null | import os
import glob
import imp
from portal import Page
class Macro(object):
pass
class MacrosLoader(object):
def __init__(self, path):
self.path = path
self.macros = None
def load_macros(self, blueprint, actors):
self.actors = actors
for macro in os.listdir(self.path):
... | 29.4375 | 104 | 0.605096 |
79793c4cf5656f47193ba07ea804afb6dcf0520f | 4,086 | py | Python | tests/addons/log2reqs/test_csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 11 | 2017-10-02T01:29:12.000Z | 2022-03-31T08:37:22.000Z | tests/addons/log2reqs/test_csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 79 | 2017-07-16T14:47:17.000Z | 2022-03-31T08:49:14.000Z | tests/addons/log2reqs/test_csv.py | ihatov08/jumeaux | 7d983474df4b6dcfa57ea1a66901fbc99ebababa | [
"MIT"
] | 2 | 2019-01-28T06:11:58.000Z | 2021-01-25T07:21:21.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
import pytest
from owlmixin.util import load_yaml
from jumeaux.addons.log2reqs.csv import Executor
from jumeaux.models import Log2ReqsAddOnPayload, HttpMethod
CSV = """
"name1","GET","/path1","q1=1&q2=2","header1=1&header2=2"
"name2","POST","/path2","q1=1&q2=&q3","header1... | 34.336134 | 100 | 0.424131 |
30bfd99b18a3b42bf378f11e32343322a618917a | 664 | py | Python | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P04_Walking.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P04_Walking.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L05_WhileLoop/Exercises/Solutions/P04_Walking.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | target_steps = 10000
steps_done = 0
while True:
line = input()
if line == "Going home":
home_steps = int(input())
steps_done = steps_done + home_steps
if steps_done >= target_steps:
print("Goal reached! Good job!")
print(f"{steps_done - target_steps} steps over ... | 25.538462 | 75 | 0.579819 |
d6a5d004fb389a41c39d360372bf5b4b81ef363b | 753 | py | Python | envs/base.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | envs/base.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | envs/base.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | # Base environment implementation
from enum import Enum
class StateFormat(Enum):
"""环境观测/状态格式"""
VECTOR = 0 # 一维向量
MATRIX = 1 # 二维矩阵
class BaseEnvironment:
def step(self, action):
"""Perform one timestep.
Args:
action: action to be performed.
Returns:
... | 24.290323 | 67 | 0.588313 |
ba663b9659fd12553abbb8dd2cc8f6730dac18b8 | 1,399 | py | Python | wagtail_localize/migrations/0010_overridablesegment.py | th3hamm0r/wagtail-localize | e9e0ba9245060c65e3247b62739abbed71bc2516 | [
"BSD-3-Clause"
] | 6 | 2019-09-10T19:53:55.000Z | 2019-11-14T16:57:07.000Z | wagtail_localize/migrations/0010_overridablesegment.py | th3hamm0r/wagtail-localize | e9e0ba9245060c65e3247b62739abbed71bc2516 | [
"BSD-3-Clause"
] | 17 | 2019-07-11T11:17:37.000Z | 2019-11-19T16:40:31.000Z | wagtail_localize/migrations/0010_overridablesegment.py | th3hamm0r/wagtail-localize | e9e0ba9245060c65e3247b62739abbed71bc2516 | [
"BSD-3-Clause"
] | 2 | 2019-09-30T20:23:39.000Z | 2019-10-31T14:09:31.000Z | # Generated by Django 3.1 on 2020-08-28 10:00
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("wagtail_localize", "0009_stringtranslation_errors"),
]
operations = [
migrations.CreateModel(
nam... | 29.145833 | 68 | 0.419585 |
233fcc6f11287ea68423d2a8c5aa6ad65a9a8978 | 7,908 | py | Python | src/onegov/activity/matching/score.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/matching/score.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/activity/matching/score.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import hashlib
from onegov.activity.models import Activity, Attendee, Booking, Occasion
from onegov.user import User
from sqlalchemy import func
class Scoring(object):
""" Provides scoring based on a number of criteria.
A criteria is a callable which takes a booking and returns a score.
The final score ... | 30.183206 | 79 | 0.609004 |
cc86da43000f9585fe4c9e409e4413dc2512339f | 8,995 | py | Python | Apps/Auswertung/tests/test_comparison.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | 1 | 2021-04-13T10:00:46.000Z | 2021-04-13T10:00:46.000Z | Apps/Auswertung/tests/test_comparison.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | Apps/Auswertung/tests/test_comparison.py | RGreinacher/bachelor-thesis | 60dbc03ce40e3ec42f2538d67a6aabfea6fbbfc8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# import python libs
import sys
sys.path.append('../')
# import project libs
from compare_annotations import compare_annotations_in_sentences
test_cases =[
{
'reference': [{'annotation': {'label': 'PER', 'length': 2}, 'term': 'Wolfgang'}, {'term': 'Schwetz... | 157.807018 | 754 | 0.498388 |
d1ff7f65e6d9186d05dcdff849a26b3ad31393e5 | 1,382 | py | Python | code/snake/Algorithms/SitationsechnerDavid.py | BogyMitutoyoCTL/AI-Preparation | ef535741816b02e5e63d426a3232a688c9abd726 | [
"MIT"
] | 1 | 2020-03-30T09:25:53.000Z | 2020-03-30T09:25:53.000Z | code/snake/Algorithms/SitationsechnerDavid.py | BogyMitutoyoCTL/AI-Preparation | ef535741816b02e5e63d426a3232a688c9abd726 | [
"MIT"
] | 2 | 2020-02-05T14:00:23.000Z | 2020-03-30T19:57:19.000Z | code/snake/Algorithms/SitationsechnerDavid.py | BogyMitutoyoCTL/AI-Preparation | ef535741816b02e5e63d426a3232a688c9abd726 | [
"MIT"
] | null | null | null | from Field import Field
from GameData import GameData
from Snake import Snake
# 1 2 4
#
# 8 - 16
#
# 32 64 128
def situation_number(kantenlänge: int, maske: str, field: GameData):
maske = maske.replace(" ", "")
beginn = int(- (kantenlänge - 1) / 2)
ende = int((kantenlänge - 1) / 2)... | 27.64 | 68 | 0.575977 |
ae52a5c6c2e194377121a5e35198ab56ccf887f1 | 707 | py | Python | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/74_map-75_filter-76_reduce/75_filter.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/74_map-75_filter-76_reduce/75_filter.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | Curso_Python/Secao3-Python-Intermediario-Programacao-Procedural/74_map-75_filter-76_reduce/75_filter.py | pedrohd21/Cursos-Feitos | b223aad83867bfa45ad161d133e33c2c200d42bd | [
"MIT"
] | null | null | null | from dados import produtos, pessoas, lista
# new_list = filter(lambda x: x > 5, lista) # feito com filter
# new_list = [x for x in lista if x > 5] # feito com list comprehension
# print(list(new_list))
# outro codigo
# def new_filter(produto):
# if produto['preco'] > 50:
# produto['e_caro'] = True
# ... | 20.794118 | 71 | 0.649222 |
ae747704dbd6c1724819b013e6d1bdc702378234 | 95 | py | Python | musicbeats/apps.py | VICTOR4046/MusiX | 4a13d849e9db9a20b3ef8f286a8d047c0de86170 | [
"MIT"
] | null | null | null | musicbeats/apps.py | VICTOR4046/MusiX | 4a13d849e9db9a20b3ef8f286a8d047c0de86170 | [
"MIT"
] | null | null | null | musicbeats/apps.py | VICTOR4046/MusiX | 4a13d849e9db9a20b3ef8f286a8d047c0de86170 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class MusicbeatsConfig(AppConfig):
name = 'musicbeats'
| 15.833333 | 34 | 0.768421 |
884ccd57b51e086d5e8dfa1675a25cda717c5b31 | 5,343 | py | Python | app/models/forms.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | app/models/forms.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | app/models/forms.py | brunomileto/gamebet_website | b315569ff5c18538cbc374d19011591edb5f8b26 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
License: MIT
Copyright (c) 2019 - present AppSeed.us
"""
from flask_login import LoginManager
from flask_wtf import FlaskForm
from wtforms import StringField, FileField, PasswordField, IntegerField, SelectField
from wtforms.validators import Email, DataRequired, InputRequired
from wtforms.... | 49.018349 | 151 | 0.706532 |
ee7a59d63c1301156ba63eb8ab5e480b3fbf2ae8 | 492 | py | Python | playlist/playlist.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | playlist/playlist.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | playlist/playlist.py | samcost/POO | 5c280407abb7aa9db1c82e52c34fd372465e8fe2 | [
"MIT"
] | null | null | null | import random
class Playlist:
def __init__ (self, musicas):
self.__list = musicas
def imprime (self):
print('____________________')
for i in self.__list:
print(i)
print('____________________')
def adiciona (self, newmusic):
self.__list.append(newmusic)
... | 23.428571 | 48 | 0.603659 |
c9acbc80efc0911e35853cee9202a5f449141a0f | 718 | py | Python | leetcode/121-Best-Time-to-Buy-and-Sell-Stock/BestTimetoBuyandSellStock_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-12-29T03:26:39.000Z | 2016-12-29T03:26:39.000Z | leetcode/121-Best-Time-to-Buy-and-Sell-Stock/BestTimetoBuyandSellStock_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/121-Best-Time-to-Buy-and-Sell-Stock/BestTimetoBuyandSellStock_001.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution:
# @param {integer[]} prices
# @return {integer}
def maxProfit(self, prices):
if len(prices) < 2:
return 0
minn = prices[:-1]
maxn = prices[1:]
mi = minn[0]
for i in range(1, len(minn)):
if minn[i] > mi:
minn[i]... | 23.933333 | 45 | 0.401114 |
a004ca33400e52f820d9e4c60d713b54a8f7f962 | 658 | py | Python | 7-assets/past-student-repos/Whiteboard-Pairing-master/LargestContiguousSum/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Whiteboard-Pairing-master/LargestContiguousSum/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 7-assets/past-student-repos/Whiteboard-Pairing-master/LargestContiguousSum/model_solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # We'll use a greedy algorithm to check to see if we have a
# new max sum as we iterate along the along. If at any time
# our sum becomes negative, we reset the sum.
def largestContiguousSum(arr):
maxSum = 0
currentSum = 0
for i, _ in enumerate(arr):
currentSum += arr[i]
max... | 27.416667 | 75 | 0.604863 |
094582dc87e2e3cd9431c8c9b63c3633a0aea3b3 | 187 | py | Python | DataCollections/Twitter/Config.py | moasgh/BumbleBee | 2b0aae7970ab316c7b8b12dd4032b41ee1772aad | [
"MIT"
] | 7 | 2020-03-06T05:53:43.000Z | 2022-01-30T17:31:18.000Z | DataCollections/Twitter/Config.py | moasgh/BumbleBee | 2b0aae7970ab316c7b8b12dd4032b41ee1772aad | [
"MIT"
] | null | null | null | DataCollections/Twitter/Config.py | moasgh/BumbleBee | 2b0aae7970ab316c7b8b12dd4032b41ee1772aad | [
"MIT"
] | null | null | null | class Twitter():
Consumer_Key = ''
Consumer_Secret = ''
Access_Token = ''
Access_Token_Secret = ''
CONNECTION_STRING = "sqlite:///Twitter.db"
LANG = ["en"]
| 23.375 | 47 | 0.57754 |
11ec5e2e101318dcaf3d5d623b008c975f33454c | 8,380 | py | Python | shippolink.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | shippolink.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | shippolink.py | fundthmcalculus/reserautomation | 31fb18815885815dffbb775dd019e28f57ac9228 | [
"MIT"
] | null | null | null | import logging
import shippo
from datetime import datetime
from typing import List, Dict, Union, Set, Iterator, Tuple
import requests
from smartetailing import objects
from httpconnection import HttpConnectionBase
class ShippoConstants:
US_DOLLAR = "USD"
US = "US"
UNITED_STATES = "United States"
POUN... | 37.244444 | 119 | 0.647375 |
eefabbd72b3541cd3d6daeab01811065a4c9bd82 | 64 | py | Python | Paddle_Industry_Practice_Sample_Library/Football_Action/PaddleVideo/paddlevideo/metrics/ActivityNet/__init__.py | linuxonly801/awesome-DeepLearning | b063757fa130c4d56aea5cce2e592610f1e169f9 | [
"Apache-2.0"
] | 883 | 2020-11-12T11:46:46.000Z | 2022-03-31T18:27:10.000Z | paddlevideo/metrics/ActivityNet/__init__.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 233 | 2020-12-09T06:04:59.000Z | 2022-03-28T08:16:51.000Z | paddlevideo/metrics/ActivityNet/__init__.py | arkofgalaxy/PaddleVideo | 64251233c83b7eb681061b454da198a9082309a6 | [
"Apache-2.0"
] | 225 | 2020-11-13T06:21:55.000Z | 2022-03-31T05:36:11.000Z | from .anet_prop import ANETproposal
__all__ = ['ANETproposal']
| 16 | 35 | 0.78125 |
0166891b3193276fa9611a81173e7df62690b314 | 846 | py | Python | book/_build/jupyter_execute/docs/1006_Vielseitige_Kunststoffe.py | tom-tubeless/Chemie | bcd10e84b341121c260526c306f86b1556a6c034 | [
"MIT"
] | null | null | null | book/_build/jupyter_execute/docs/1006_Vielseitige_Kunststoffe.py | tom-tubeless/Chemie | bcd10e84b341121c260526c306f86b1556a6c034 | [
"MIT"
] | null | null | null | book/_build/jupyter_execute/docs/1006_Vielseitige_Kunststoffe.py | tom-tubeless/Chemie | bcd10e84b341121c260526c306f86b1556a6c034 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# # 1006_Vielseitige Kunststoffe
#
# **4h**
#
# ## Leitfragen
#
# - Warum werden bestimmte Kunststoffe im Alltag verwendet?
#
# ## Inhaltsfelder & Inhaltliche Schwerpunkte
#
# - **IF10: Organische Chemie**
# - Makromoleküle: ausgewählte Kunststoffe
#
# ## Schwerpunkte der ... | 31.333333 | 145 | 0.741135 |
28cc5b607436dfa9c83e8ee3d5d1e23f10aad297 | 3,334 | py | Python | src/onegov/winterthur/collections/mission_report.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/winterthur/collections/mission_report.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/winterthur/collections/mission_report.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import sedate
from datetime import datetime, date
from onegov.core.collection import GenericCollection, Pagination
from onegov.org.models.file import ImageFileCollection
from onegov.winterthur.models import MissionReport
from onegov.winterthur.models import MissionReportFile
from onegov.winterthur.models import Missio... | 28.991304 | 78 | 0.653269 |
e9446dd64157de23d9e03272a7526e470c5228be | 7,620 | py | Python | Packs/Carbon_Black_Enterprise_Response/Scripts/CBLiveGetFile_V2/CBLiveGetFile_V2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Carbon_Black_Enterprise_Response/Scripts/CBLiveGetFile_V2/CBLiveGetFile_V2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Carbon_Black_Enterprise_Response/Scripts/CBLiveGetFile_V2/CBLiveGetFile_V2.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 json
from contextlib import contextmanager
from typing import Tuple, Union
'''Globals'''
ERROR_SENSOR = -1
ERROR_SESSION = -1
''' STANDALONE FUNCTION '''
def search_sensor_id(endpoint: str) -> int:
""" ... | 32.288136 | 125 | 0.64895 |
3ae10265edf0fc5cefc9438100a7b04177bb505a | 245 | py | Python | src/hw_raid_3ware.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/hw_raid_3ware.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | src/hw_raid_3ware.py | magistersart/ZTC_fork | ce72734ea575d9846b5b81f3efbfd14fa1f7e532 | [
"PostgreSQL"
] | null | null | null | #!/usr/bin/python
"""
3ware raid monitoring item script
Copyright (c) 2010-2011 Vladimir Rusinov <vladimir@greenmice.info>
Copyright (c) 2010 Murano Software [http://muranosoft.com]
"""
import ztc.hw
tw = ztc.hw.RAID_3Ware()
tw.get('status')
| 18.846154 | 66 | 0.730612 |
6e7ba1174b5e55b041392d08b91c01037d8502e0 | 10,692 | py | Python | Utils/py/ActionSelection/experimental/QLearning/gamefield.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ActionSelection/experimental/QLearning/gamefield.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | Utils/py/ActionSelection/experimental/QLearning/gamefield.py | tarsoly/NaoTH | dcd2b67ef6bf9953c81d3e1b26e543b5922b7d52 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | from tools import field_info as field
from Tkinter import *
import threading
import time
master = Tk()
# create functions to draw field + decisions made / q values ranging from green to red
# draw field + update field
square_size = 200 # relative to field
field_x = field.x_field_length + 200 # add a few pixels, fo... | 36.868966 | 202 | 0.62832 |
6e94312e6d8456f053a4ac2ed87ef108234d1a39 | 1,137 | py | Python | Python/zzz_training_challenge/Python_Challenge/solutions/ch02_math/solutions/ex08_combinatorics_cubic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch02_math/solutions/ex08_combinatorics_cubic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | Python/zzz_training_challenge/Python_Challenge/solutions/ch02_math/solutions/ex08_combinatorics_cubic.py | Kreijeck/learning | eaffee08e61f2a34e01eb8f9f04519aac633f48c | [
"MIT"
] | null | null | null | # Beispielprogramm für das Buch "Python Challenge"
#
# Copyright 2020 by Michael Inden
import math
def solve_cubic_simple():
for a in range(1, 100):
for b in range(1, 100):
for c in range(1, 100):
for d in range(1, 100):
if a * a + b * b == c * c + d * d:
... | 25.840909 | 78 | 0.431838 |
28789533552f9226dee5e6ef9f83705b84e57305 | 5,573 | py | Python | 2017/11/elex17-results-va-20171107/custom_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2017/11/elex17-results-va-20171107/custom_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2017/11/elex17-results-va-20171107/custom_filters.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | """
Custom filters for shaping election results for use by front-end code.
All of this comes from the google-spreadsheet-election-loader
project:
https://github.com/nprapps/google-spreadsheet-election-loader/blob/master/loader.py
"""
# In Python 3.0, 5 / 2 will return 2.5 and 5 // 2 will return 2.
# We want this to w... | 29.026042 | 91 | 0.649202 |
c2e49174047ddd3601739cc66a9b0b3cedcdaac4 | 371 | py | Python | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/crop/test_crop.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/agriculture/doctype/crop/test_crop.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/agriculture/doctype/crop/test_crop.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and Contributors
# See license.txt
from __future__ import unicode_literals
import frappe
import unittest
test_dependencies = ["Fertilizer"]
class TestCrop(unittest.TestCase):
def test_crop_period(self):
basil = frappe.get_doc('Crop', 'Bas... | 26.5 | 68 | 0.754717 |
6602daa1722c3e7d7d8c85a350c6861f178286f6 | 3,065 | py | Python | code/game_board.py | obernbef/vwa | 7d8edaefe6a6e38235b696112fde11ce0eba2a86 | [
"MIT"
] | null | null | null | code/game_board.py | obernbef/vwa | 7d8edaefe6a6e38235b696112fde11ce0eba2a86 | [
"MIT"
] | null | null | null | code/game_board.py | obernbef/vwa | 7d8edaefe6a6e38235b696112fde11ce0eba2a86 | [
"MIT"
] | 1 | 2021-11-10T10:36:01.000Z | 2021-11-10T10:36:01.000Z | """
This module handles the game board.
TODO
----
* Add `win_test()` function to `Board` class
"""
# %%
from __future__ import annotations
__author__ = "Florian Obernberger"
__all__ = ['Board', 'Position', 'Stone']
from typing import List, NamedTuple, Tuple
from enum import IntEnum
import numpy as np
from numba im... | 23.945313 | 85 | 0.54062 |
05ab2309b718229dae4c0d1f17407cce4f2eda5a | 716 | py | Python | 01.DataStructure/Stack&Queue/NY/B1158_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 1 | 2021-11-21T06:03:06.000Z | 2021-11-21T06:03:06.000Z | 01.DataStructure/Stack&Queue/NY/B1158_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | 2 | 2021-10-13T07:21:09.000Z | 2021-11-14T13:53:08.000Z | 01.DataStructure/Stack&Queue/NY/B1158_NY.py | SP2021-2/Algorithm | 2e629eb5234212fad8bbc11491aad068e5783780 | [
"MIT"
] | null | null | null | # 백준 - 1158
import sys
num, k = map(int, sys.stdin.readline().split())
circleQ = []
arr = []
removeIndex = k - 1
#1~n까지 삽입하기
for n in range(num) :
circleQ.append(n+1)
while len(circleQ) > 0 :
if len(circleQ) < k :
removeIndex = k % len(circleQ) - 1
arr.append(circleQ.pop(removeIndex))
... | 20.457143 | 47 | 0.548883 |
3c53a51fb85e7ea9eee1667f168aaac337b056ac | 5,345 | py | Python | TimeSeries/not_finished/vae_time_series/time_series_gen.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | null | null | null | TimeSeries/not_finished/vae_time_series/time_series_gen.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-02-11T23:44:52.000Z | 2021-02-11T23:44:52.000Z | TimeSeries/not_finished/vae_time_series/time_series_gen.py | stanton119/data-analysis | b6fda815c6cc1798ba13a5d2680369b7e5dfcdf9 | [
"Apache-2.0"
] | 1 | 2021-12-16T01:02:23.000Z | 2021-12-16T01:02:23.000Z | # %%
"""
Fit a VAE to time series data
Generate novel time series from the latent space
"""
# %%
import numpy as np
import pandas as pd
from time import process_time, time
import matplotlib.pyplot as plt
plt.style.use("seaborn-whitegrid")
# %% Load stocks data
df = pd.read_csv("aapl_us.csv")
df.dtypes
df["Date"] =... | 23.038793 | 80 | 0.656314 |
594219c5331ba33121655c55bd601f632ff2b6ae | 5,892 | py | Python | oldp/apps/search/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | 3 | 2020-06-27T08:19:35.000Z | 2020-12-27T17:46:02.000Z | oldp/apps/search/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | oldp/apps/search/views.py | ImgBotApp/oldp | 575dc6f711dde3470d910e21c9440ee9b79a69ed | [
"MIT"
] | null | null | null | import logging
from math import ceil
from urllib.parse import urlparse
from django.conf import settings
from django.contrib import messages
from django.shortcuts import render
from django.utils.translation import ugettext_lazy as _
from elasticsearch import Elasticsearch
from elasticsearch.exceptions import Connection... | 29.757576 | 125 | 0.59131 |
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