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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
edcef98b9dacc4ad7161a18913e7407f99c623b2 | 410 | py | Python | yougetguide/com/aaron/youtu.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | yougetguide/com/aaron/youtu.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | 2 | 2021-03-25T22:00:07.000Z | 2022-01-20T15:51:48.000Z | yougetguide/com/aaron/youtu.py | qsunny/python | ace8c3178a9a9619de2b60ca242c2079dd2f825e | [
"MIT"
] | null | null | null | # _*_ encoding:utf-8 _*_
"""
pip install you-get
https://you-get.org/
"""
__author__ = "aaron.qiu"
from you_get.common import any_download
from you_get.__main__ import main_dev
if __name__ == '__main__':
any_download(url="https://www.youtube.com/watch?v=QuPiZ86EFhQ", output_dir="E:\\", merge="E:\\")
# any_dow... | 29.285714 | 102 | 0.692683 |
61271b84835e262c10e8b559fc1fa612e169a55f | 2,122 | py | Python | doc/for_dev/scikit-image/setup_codes/_greyreconstruct_reconstruction_loop.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 88 | 2019-01-08T16:39:08.000Z | 2022-02-06T14:19:23.000Z | doc/for_dev/scikit-image/setup_codes/_greyreconstruct_reconstruction_loop.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 13 | 2019-06-20T15:53:10.000Z | 2021-02-09T11:03:29.000Z | doc/for_dev/scikit-image/setup_codes/_greyreconstruct_reconstruction_loop.py | fluiddyn/transonic | a460e9f6d1139f79b668cb3306d1e8a7e190b72d | [
"BSD-3-Clause"
] | 1 | 2019-11-05T03:03:14.000Z | 2019-11-05T03:03:14.000Z | import numpy as np
from future._greyreconstruct import reconstruction_loop
from skimage.filters._rank_order import rank_order
y, x = np.mgrid[:20:0.5, :20:0.5]
bumps = np.sin(x) + np.sin(y)
h = 0.3
seed = bumps - h
mask = bumps
assert tuple(seed.shape) == tuple(mask.shape)
selem = np.ones([3] * seed.ndim, dtype=boo... | 33.68254 | 79 | 0.724317 |
b64ab9777b46eab4ee60cf54089c1834113bf065 | 154 | py | Python | rmpflow_using_class/world.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | rmpflow_using_class/world.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | rmpflow_using_class/world.py | YoshimitsuMatsutaIe/hoge_flow_test | 22e2e2ce043a3107bd06449f6f9958641293e414 | [
"MIT"
] | null | null | null | """世界クラス"""
import numpy as np
class World:
def __init__(self):
pass
if __name__ == '__main__':
pass | 9.058824 | 27 | 0.461039 |
b6938ad851ae1550dcb14a69fef08b345fac93c0 | 2,358 | py | Python | pyBarcode-0.6/barcode/__init__.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:38.000Z | 2018-12-15T04:07:38.000Z | pyBarcode-0.6/barcode/__init__.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 14 | 2015-01-02T10:37:33.000Z | 2021-10-03T13:42:15.000Z | pyBarcode-0.6/barcode/__init__.py | fau-fablab/etiketten | 5f4fcdd14001807e183164ae66df48d86c8f7a3e | [
"Unlicense"
] | 1 | 2018-12-15T04:07:40.000Z | 2018-12-15T04:07:40.000Z | # -*- coding: utf-8 -*-
"""
pyBarcode
=========
This package provides a simple way to create standard barcodes.
It needs no external packages to be installed, the barcodes are
created as SVG objects. If PIL (Python Imaging Library) is
installed, the barcodes can also be rendered as images (all
formats supported by P... | 26.2 | 76 | 0.678117 |
fcb883962e19f13abc3f5f56595d2598d41a13a9 | 773 | py | Python | challenges/specialPolynomial/python3/specialPolynomial.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 5 | 2020-05-21T03:02:34.000Z | 2021-09-06T04:24:26.000Z | challenges/specialPolynomial/python3/specialPolynomial.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 6 | 2019-04-24T03:39:26.000Z | 2019-05-03T02:10:59.000Z | challenges/specialPolynomial/python3/specialPolynomial.py | jimmynguyen/codefights | f4924fcffdb4ff14930618bb1a781e4e02e9aa09 | [
"MIT"
] | 1 | 2021-09-06T04:24:27.000Z | 2021-09-06T04:24:27.000Z | def specialPolynomial(x, n):
s = 1
k = 0
while s <= n:
k += 1
s += x**k
return k-1
if __name__ == '__main__':
input0 = [2, 10, 1, 3]
input1 = [5, 111111110, 100, 140]
expectedOutput = [1, 7, 99, 4]
assert len(input0) == len(expectedOutput), '# input0 = {}, # expectedOutput = {}'.format(len(input0), len(exp... | 42.944444 | 132 | 0.658473 |
fcbf602d803b6a54b3266317d31336074db58fce | 4,933 | py | Python | NucleusDataset.py | ramesh152/SegmentationExperiment | b52dbc57759c086155e79c6621e6d25a4db0e974 | [
"Apache-2.0"
] | 2 | 2019-06-12T13:53:00.000Z | 2020-04-29T13:11:12.000Z | NucleusDataset.py | ramesh152/SegmentationExperiment | b52dbc57759c086155e79c6621e6d25a4db0e974 | [
"Apache-2.0"
] | 1 | 2019-12-10T12:23:06.000Z | 2019-12-10T12:23:06.000Z | NucleusDataset.py | ramesh152/SegmentationExperiment | b52dbc57759c086155e79c6621e6d25a4db0e974 | [
"Apache-2.0"
] | 1 | 2020-08-05T18:12:24.000Z | 2020-08-05T18:12:24.000Z | from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import os
import torch
import torch.nn.functional as F
import torch.optim as optim
from torchvision import transforms
import torch.nn as nn
import numpy as np
import cv2
import os.path as osp
from glob import glob
from tqdm import tqdm
c... | 38.539063 | 111 | 0.59254 |
781ffedcf4eb6caa8472cb0a95889aa460aacf54 | 4,187 | py | Python | TimeBomb/plugin.py | jztech101/Loggy | 1883a09ebbb6c8120cae648aebeb2771e7f39d9b | [
"MIT"
] | null | null | null | TimeBomb/plugin.py | jztech101/Loggy | 1883a09ebbb6c8120cae648aebeb2771e7f39d9b | [
"MIT"
] | 6 | 2018-02-09T18:39:37.000Z | 2018-08-31T18:40:02.000Z | TimeBomb/plugin.py | jztech101/Loggy | 1883a09ebbb6c8120cae648aebeb2771e7f39d9b | [
"MIT"
] | null | null | null |
import supybot.utils as utils
from supybot.commands import *
import supybot.plugins as plugins
import supybot.ircmsgs as ircmsgs
import supybot.schedule as schedule
import supybot.ircutils as ircutils
import supybot.callbacks as callbacks
import random
import time
try:
from supybot.i18n import PluginInternationali... | 42.292929 | 220 | 0.615238 |
1589bd8034ad9ff8a7b1cd9fe23fc9670a853980 | 1,181 | py | Python | backend/python/flask_app/app.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | 1 | 2021-02-08T17:07:54.000Z | 2021-02-08T17:07:54.000Z | backend/python/flask_app/app.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | null | null | null | backend/python/flask_app/app.py | Untanky/bachelor-thesis | 01b3c00765006ab6b140607e426533a7eed1508b | [
"MIT"
] | 1 | 2021-02-08T17:08:01.000Z | 2021-02-08T17:08:01.000Z | from flask import Flask, request, make_response, jsonify
from flask_cors import CORS
from sqlalchemy import create_engine
from controller import PostController, response_with_status_code
import sys, os
sys.path.append(os.path.realpath(os.path.dirname(__file__)+"/../dao/src"))
from Exception import IllegalArgumentExcept... | 31.918919 | 75 | 0.750212 |
15bd4274e6d8fdce9fe3d2528a023fbdda7c53b4 | 384 | py | Python | hello/hello_ui/hello_ttk.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2017-10-23T14:58:47.000Z | 2017-10-23T14:58:47.000Z | hello/hello_ui/hello_ttk.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | null | null | null | hello/hello_ui/hello_ttk.py | East196/hello-py | a77c7a0c8e5e2b5e8cefaf0fda335ab0c3b1da21 | [
"Apache-2.0"
] | 1 | 2018-04-06T07:49:18.000Z | 2018-04-06T07:49:18.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import tkinter.ttk
import tkinter
root = tkinter.Tk()
tkinter.ttk.Style().configure("TButton", padding=6, relief="flat",
background="#ccc")
count = 0
def show_hello():
tkinter.ttk.Label(text="Hello World!!").pack()
btn = tkinter.ttk.Button... | 16 | 66 | 0.640625 |
01a7d0637b5eebf039bcaa642b8fb40f2dbc88ec | 8,657 | py | Python | py_script/test_question_recall.py | skybluezx/GraphCompute | 95dc176147a7a16eb2176fd1f384de467e3daad6 | [
"MIT"
] | 4 | 2021-07-29T11:32:34.000Z | 2021-08-12T07:13:25.000Z | py_script/test_question_recall.py | skybluezx/GraphCompute | 95dc176147a7a16eb2176fd1f384de467e3daad6 | [
"MIT"
] | null | null | null | py_script/test_question_recall.py | skybluezx/GraphCompute | 95dc176147a7a16eb2176fd1f384de467e3daad6 | [
"MIT"
] | 1 | 2021-11-29T03:47:35.000Z | 2021-11-29T03:47:35.000Z | import os
import json
def get_courseware_main_kp(kp_courseware_question_file_path):
courseware_main_kp_list = dict()
with open(kp_courseware_question_file_path, 'r') as f:
for line in f:
json_object = json.loads(line)
if json_object['courseware_id'] not in courseware_main_kp_l... | 36.682203 | 214 | 0.617881 |
bf26e2fcf5aa6ab695cba1677a162a9790060f1d | 4,468 | py | Python | practices/practice_2/task4.2.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | practices/practice_2/task4.2.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | practices/practice_2/task4.2.py | br4ch1st0chr0n3/robotic_systems_labs | 23b8b81dc845e00cf02460258b9cec817019957b | [
"MIT"
] | null | null | null | from libs.can import CANSocket
from libs.myactuator import MyActuator
from time import perf_counter, sleep
import numpy as np
# import getpass
# password = getpass.getpass()
# the serial port of device
# you may find one by examing /dev/ folder,
# this is usually devices ttyACM
# os.system(f"sudo slcand -o -c -s8 /d... | 26.915663 | 175 | 0.520815 |
17445f5f07de989a85324937c557067a23958ba3 | 4,288 | py | Python | frappe-bench/apps/erpnext/erpnext/setup/setup_wizard/operations/defaults_setup.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/setup/setup_wizard/operations/defaults_setup.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/setup/setup_wizard/operations/defaults_setup.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # 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 import _
from frappe.utils import cstr, getdate
from frappe.core.doctype.communication.comment import add_info_comment
def se... | 34.031746 | 101 | 0.752799 |
e53cac43abe6635fcf3bddc1958ddbbcf9d875a2 | 524 | pyde | Python | sketches/ca01/ca01.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 4 | 2018-06-03T02:11:46.000Z | 2021-08-18T19:55:15.000Z | sketches/ca01/ca01.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | null | null | null | sketches/ca01/ca01.pyde | kantel/processingpy | 74aae222e46f68d1c8f06307aaede3cdae65c8ec | [
"MIT"
] | 3 | 2019-12-23T19:12:51.000Z | 2021-04-30T14:00:31.000Z | from cell import Cell
GRID_W = 51
GRID_H = 51
def setup():
global cellList
size(600, 600)
this.surface.setTitle("CA 1")
cellList = createCellList()
def draw():
for row in cellList:
for cell in row:
cell.display()
def createCellList():
sz = width//GRID_W + 1
newLis... | 20.153846 | 45 | 0.578244 |
e5a36e0147df5dbc6f2cc497ee2bbfccca7dcc8b | 1,510 | py | Python | 数据结构/NowCode/16_FindFirstCommonNode.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | null | null | null | 数据结构/NowCode/16_FindFirstCommonNode.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | 3 | 2020-08-14T07:50:27.000Z | 2020-08-14T08:51:06.000Z | 数据结构/NowCode/16_FindFirstCommonNode.py | Blankwhiter/LearningNotes | 83e570bf386a8e2b5aa699c3d38b83e5dcdd9cb0 | [
"MIT"
] | 2 | 2021-03-14T05:58:45.000Z | 2021-08-29T17:25:52.000Z | # 两个链表的公共节点
# 输入一个复杂链表（每个节点中有节点值，以及两个指针，一个指向下一个节点，另一个特殊指针random指向一个随机节点），
# 请对此链表进行深拷贝，并返回拷贝后的头结点。（注意，输出结果中请不要返回参数中的节点引用，否则判题程序会直接返回空）
class Solution:
# 第一个参数给比较短的链表，第二个参数给长链表的值
# def findEqual(self,):
def FindFirstCommonNode(self, pHead1, pHead2):
# 假设输入的两个链表，是同一个链表
if pHead1 == pHead2:
... | 23.968254 | 61 | 0.491391 |
f91e5410497abb871d44b4b26fcd319dca905de1 | 561 | py | Python | python/pubmed_test.py | sma-h/openapc-de | 0ec2d42d525219d801f71538f5b30ca6fecd9d3a | [
"Cube"
] | 89 | 2015-02-13T13:46:06.000Z | 2022-03-13T16:42:44.000Z | python/pubmed_test.py | sma-h/openapc-de | 0ec2d42d525219d801f71538f5b30ca6fecd9d3a | [
"Cube"
] | 91 | 2015-03-12T13:31:36.000Z | 2022-01-14T07:37:37.000Z | python/pubmed_test.py | sma-h/openapc-de | 0ec2d42d525219d801f71538f5b30ca6fecd9d3a | [
"Cube"
] | 138 | 2015-03-04T15:23:43.000Z | 2022-03-09T15:11:52.000Z | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
Look up a DOI in PubMed.
This script looks up a DOI in pubmed.
"""
import argparse
from openapc_toolkit import get_metadata_from_pubmed as gmfp
def main():
parser = argparse.ArgumentParser()
parser.add_argument("doi", help="A DOI to look up in pubmed.")
... | 20.035714 | 66 | 0.622103 |
00818ae4d66705777029ed38b458a986cd50e250 | 6,242 | py | Python | test/test_npu/test_network_ops/test_multilabel_margin_loss.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_multilabel_margin_loss.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_multilabel_margin_loss.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.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/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 46.237037 | 141 | 0.618392 |
009ff893a246abac723c2453f610f4f157cd7c08 | 395 | py | Python | flask/tutorial-1-3-router-blueprint/users/views.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | flask/tutorial-1-3-router-blueprint/users/views.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | flask/tutorial-1-3-router-blueprint/users/views.py | pisitj/practice-python-web-framework | 5f7f60737b1cf9618e73ad8047b6c4f556d1feb0 | [
"MIT"
] | null | null | null | # https://github.com/gothinkster/flask-realworld-example-app/blob/master/conduit/user/views.py
from flask import Blueprint
blueprint = Blueprint('users', __name__, url_prefix='/users')
@blueprint.route("/", methods=('GET',))
def get_user_list():
return {"message": "Get List of Users."}
@blueprint.route("/", met... | 30.384615 | 94 | 0.701266 |
979c526ba5837032a402dbf4c59db3301a80e989 | 1,289 | py | Python | AnaliseZipf/lerolero_extractor.py | Superar/PLN | 2ed5ea1f0ebb28ca8dd3729c064758bc5c2abcee | [
"MIT"
] | null | null | null | AnaliseZipf/lerolero_extractor.py | Superar/PLN | 2ed5ea1f0ebb28ca8dd3729c064758bc5c2abcee | [
"MIT"
] | null | null | null | AnaliseZipf/lerolero_extractor.py | Superar/PLN | 2ed5ea1f0ebb28ca8dd3729c064758bc5c2abcee | [
"MIT"
] | null | null | null | # from builtins import print
import time
import scrapy
from selenium import webdriver
def is_two_pages(fileobject):
fileobject.seek(0, 2)
size = fileobject.tell()
if size > 16000:
return True
else:
return False
class TextSpider(scrapy.Spider):
name = "text_spider"
allowed_... | 21.483333 | 91 | 0.559348 |
e7608e1a8bd326ff094486601d1bccb84db52a27 | 5,192 | py | Python | wz/ui/datatable_widget.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/ui/datatable_widget.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | wz/ui/datatable_widget.py | gradgrind/WZ | 672d93a3c9d7806194d16d6d5b9175e4046bd068 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
ui/datatable_widget.py
Last updated: 2021-10-22
Gui editor widget for "DataTables".
See datatable-editor.py for an app which can be used for testing this
widget.
=+LICENCE=================================
Copyright 2021 Michael Towers
Licensed under the Apache License, Version 2.0 (t... | 32.049383 | 82 | 0.609977 |
6b675ae6ec20cdf575afb06a81fd2c5c2aa8bbb7 | 1,418 | py | Python | tensorflow/basic-rl/tutorial14/code/train_deepqnaf.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:16:23.000Z | 2019-05-10T09:16:23.000Z | tensorflow/basic-rl/tutorial14/code/train_deepqnaf.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | null | null | null | tensorflow/basic-rl/tutorial14/code/train_deepqnaf.py | gopala-kr/ds-notebooks | bc35430ecdd851f2ceab8f2437eec4d77cb59423 | [
"MIT"
] | 1 | 2019-05-10T09:17:28.000Z | 2019-05-10T09:17:28.000Z | from baselines.deepqnaf.learn import learn
import gym
import tensorflow as tf
import argparse
#parser
parser = argparse.ArgumentParser()
parser.add_argument('--environment', dest='environment', type=str, default='MountainCarContinuous-v0')
parser.add_argument('--num_timesteps', dest='num_timesteps', type=int, default=... | 36.358974 | 102 | 0.685472 |
d892995b60c5c42b2a079b10bef6d2f69d80e364 | 3,006 | py | Python | menucard/migrations/0002_auto_20201230_1855.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | 1 | 2021-01-23T21:42:10.000Z | 2021-01-23T21:42:10.000Z | menucard/migrations/0002_auto_20201230_1855.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | menucard/migrations/0002_auto_20201230_1855.py | baniasbaabe/happy-qr | bf44ac19306ea6405cc7c9a100e6f83afca125b4 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.2 on 2020-12-30 17:55
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('menucard', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='alkoholfreiedrinks',
name='zusatzstoff... | 35.785714 | 96 | 0.581171 |
991287d9cb504a003155ca828430c40f5035c979 | 58 | py | Python | febonaci.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | febonaci.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | null | null | null | febonaci.py | sanxy/hacktoberfest-1 | 913582b310688d496602e8b1bc9166cb64866e38 | [
"MIT"
] | 1 | 2020-09-30T18:53:05.000Z | 2020-09-30T18:53:05.000Z | a=0
b=1
while a<10:
print(a)
a,b=b,a+b
| 8.285714 | 14 | 0.396552 |
99201384e272dc16b1c63b79e4253d0df9af8dfd | 15,870 | py | Python | easyp2p/p2p_parser.py | Ceystyle/easyp2p | 99c32e3ec0ff5a34733f157dd1b53d1aa9bc9edc | [
"MIT"
] | 4 | 2019-07-18T10:58:28.000Z | 2021-11-18T16:57:45.000Z | easyp2p/p2p_parser.py | Ceystyle/easyp2p | 99c32e3ec0ff5a34733f157dd1b53d1aa9bc9edc | [
"MIT"
] | 1 | 2019-07-05T09:21:47.000Z | 2019-07-05T09:21:47.000Z | easyp2p/p2p_parser.py | Ceystyle/easyp2p | 99c32e3ec0ff5a34733f157dd1b53d1aa9bc9edc | [
"MIT"
] | 2 | 2019-07-05T08:56:34.000Z | 2020-06-09T10:03:42.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2018-2020 Niko Sandschneider
"""
Module for parsing output files of P2P platforms and printing combined results.
Each P2P platform has a unique format for presenting investment results. The
purpose of this module is to provide parser methods to transform them into a
single out... | 37.429245 | 80 | 0.622684 |
51a7b49f979b6c5a0c6020e4d8c3a5c997029df6 | 15,831 | py | Python | pyScript/custom_src/MainWindow.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | pyScript/custom_src/MainWindow.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | pyScript/custom_src/MainWindow.py | Shirazbello/Pyscriptining | 0f2c80a9bb10477d65966faeccc7783f20385c1b | [
"MIT"
] | null | null | null | import os, sys
# QT
from PySide2.QtWidgets import QMainWindow, QFileDialog, QShortcut
from PySide2.QtGui import QColor, QFontDatabase, QIcon, QKeySequence
# parent UI
from ui.ui_main_window import Ui_MainWindow
from custom_src.GlobalAccess import GlobalStorage
# custom content
from custom_src.Script import Script
# f... | 39.676692 | 124 | 0.619481 |
cfca473c7636af7a265aadb872e696e60bca57e4 | 213 | py | Python | 2021/RoundC/tmp.py | Akash671/KickStart | 7cf7e572408203c881d56989fb37e6270bd696f0 | [
"CC0-1.0"
] | 1 | 2021-03-12T08:39:01.000Z | 2021-03-12T08:39:01.000Z | 2021/RoundC/tmp.py | Akash671/KickStart | 7cf7e572408203c881d56989fb37e6270bd696f0 | [
"CC0-1.0"
] | null | null | null | 2021/RoundC/tmp.py | Akash671/KickStart | 7cf7e572408203c881d56989fb37e6270bd696f0 | [
"CC0-1.0"
] | 1 | 2021-03-20T18:55:52.000Z | 2021-03-20T18:55:52.000Z | # Python program showing no need to
# use global keyword for accessing
# a global value
# global variable
a = 15
b = 10
# function to perform addition
def add():
c = a + b
print(c)
# calling a function
add()
| 13.3125 | 35 | 0.690141 |
8ff5cab7fb4ce3e6dd3d1a109f20f0119467486f | 471 | py | Python | pacman-termux/test/pacman/tests/smoke002.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/smoke002.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/smoke002.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Install packages with huge descriptions"
p1 = pmpkg("pkg1")
p1.desc = 'A' * 500 * 1024
self.addpkg(p1)
p2 = pmpkg("pkg2")
p2.desc = 'A' * 600 * 1024
self.addpkg(p2)
self.args = "-U %s %s" % (p1.filename(), p2.filename())
# We error out when fed a package with an invalid description; the second o... | 26.166667 | 77 | 0.692144 |
712eefca56c390466eeff675972b4137318849fa | 4,390 | py | Python | kollektiv5gui/views/DatasetTableWidget.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 3 | 2019-03-21T17:02:55.000Z | 2019-04-04T18:16:10.000Z | kollektiv5gui/views/DatasetTableWidget.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 11 | 2019-10-30T12:05:39.000Z | 2022-03-11T23:43:54.000Z | kollektiv5gui/views/DatasetTableWidget.py | MateRyze/InformatiCup-2019 | eeca3ff7f8a102f4093697c6badee21ce25e2e87 | [
"MIT"
] | 1 | 2019-10-30T12:04:00.000Z | 2019-10-30T12:04:00.000Z | import json
from PyQt5.QtCore import Qt
from PyQt5.QtGui import QPixmap, QCursor, QColor
from PyQt5.QtWidgets import QTableWidget, QTableWidgetItem, QMenu
from kollektiv5gui.util import api
from kollektiv5gui.models.Dataset import Dataset
class DatasetTableWidget(QTableWidget):
"""
This table displays contain... | 35.12 | 78 | 0.615262 |
a4489dffe718a97ccb74e3c9f52f9b17c3e92dd1 | 318 | py | Python | src/onegov/onboarding/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/onboarding/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/onboarding/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger('onegov.onboarding') # noqa
log.addHandler(logging.NullHandler()) # noqa
from translationstring import TranslationStringFactory
_ = TranslationStringFactory('onegov.onboarding') # noqa
from onegov.onboarding.app import OnboardingApp
__all__ = ['_', 'log', 'OnboardingApp']
| 28.909091 | 57 | 0.783019 |
a44b22a980e8ffa2fe3644e6346b6c4921cf8ee2 | 73 | py | Python | src/showcase/__init__.py | th-koeln-intia/ip-sprachassistent-team1 | 69fbc06a326da91fd3d84f222eba6cd2b1a79975 | [
"MIT"
] | 1 | 2021-04-28T09:45:34.000Z | 2021-04-28T09:45:34.000Z | src/showcase/__init__.py | th-koeln-intia/ip-sprachassistent-team1 | 69fbc06a326da91fd3d84f222eba6cd2b1a79975 | [
"MIT"
] | 1 | 2020-09-24T07:20:16.000Z | 2020-09-24T07:20:16.000Z | src/showcase/__init__.py | th-koeln-intia/ip-sprachassistent-team1 | 69fbc06a326da91fd3d84f222eba6cd2b1a79975 | [
"MIT"
] | 1 | 2020-12-04T13:38:33.000Z | 2020-12-04T13:38:33.000Z | from showcase import showcase
def setup():
return showcase.setup()
| 12.166667 | 29 | 0.726027 |
a4a0c0f4e8de3d2fc701771f2ec4f0812f3c362a | 359 | py | Python | exercises/ja/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/ja/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/ja/solution_03_09_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | import spacy
from spacy.tokens import Token
nlp = spacy.blank("ja")
# デフォルト値がFalseである拡張属性「is_country」をトークンに追加
Token.set_extension("is_country", default=False)
# テキストを処理し、「スペイン」のトークンについてis_country属性をTrueにする
doc = nlp("私はスペインに住んでいます。")
doc[2]._.is_country = True
# すべてのトークンについて、文字列とis_country属性を表示
print([(token.text, ... | 23.933333 | 58 | 0.785515 |
74b00c2b6dfd171d2e4c14614c92073db83d7af2 | 419 | py | Python | pacman-termux/test/pacman/tests/epoch004.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/epoch004.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/epoch004.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "Sysupgrade with same version, different epochs"
sp = pmpkg("dummy", "2:2.0-1")
sp.files = ["bin/dummynew"]
self.addpkg2db("sync", sp)
lp = pmpkg("dummy", "1:2.0-1")
lp.files = ["bin/dummyold"]
self.addpkg2db("local", lp)
self.args = "-Su"
self.addrule("PACMAN_RETCODE=0")
self.addrule("PKG_VERSIO... | 24.647059 | 67 | 0.699284 |
2d104ecbf49f42703884e2800e25b87173a1113e | 472 | py | Python | checker/responsivesecurity/product_key.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | checker/responsivesecurity/product_key.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | checker/responsivesecurity/product_key.py | fausecteam/faustctf-2019-responsivesecurity | 65b4e02bdc9de278166c38697ab992638977d511 | [
"0BSD"
] | null | null | null | import urllib.request
import ssl
import nacl.encoding
import nacl.public
from .resources import PRIVATE_KEY
def get_url(url):
return urllib.request.urlopen(url, context=ssl._create_unverified_context()).read()
def get_from_api(endpoint):
sk = nacl.public.PrivateKey(PRIVATE_KEY, nacl.encoding.HexEncoder)
... | 27.764706 | 87 | 0.769068 |
743b6debf39ce598a411de981da701a3a8d87d62 | 29,795 | py | Python | Openharmony v1.0/third_party/ltp/testcases/kernel/power_management/lib/pm_sched_mc.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/kernel/power_management/lib/pm_sched_mc.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | hihope_neptune-oh_hid/00_src/v0.3/third_party/ltp/testcases/kernel/power_management/lib/pm_sched_mc.py | dawmlight/vendor_oh_fun | bc9fb50920f06cd4c27399f60076f5793043c77d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
''' Reusable functions related to sched mc FVT are put together
'''
import os
import sys
import re
from time import time
__author__ = "Vaidyanathan Srinivasan <svaidy@linux.vnet.ibm.com>"
__author__ = "Poornima Nayak <mpnayak@linux.vnet.ibm.com>"
cpu_map = {}
stats_start = {}
stats_stop = {}
... | 35.639952 | 102 | 0.535123 |
748e1e1b17a2070f17bb8fc5cff4ce2b007e61bc | 525 | py | Python | books/PythonAutomate/google_spreadsheets/create_upload_spreadsheets.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/google_spreadsheets/create_upload_spreadsheets.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | books/PythonAutomate/google_spreadsheets/create_upload_spreadsheets.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """create_upload_spreadsheets.py
구글 스프레드 시트 문서 열기, 생성하기, 업로드 하기
"""
import ezsheets
# 등록된 문서 열기
sheet_id = "1jDZEdvSIh4TmZxccyy0ZXrH-ELlrwq8_YYiZrEOB4jg"
ss = ezsheets.Spreadsheet(sheet_id)
print(ss) # <Spreadsheet title="Bean Count", 1 sheets>
print(ss.title) # Bean Count
# 빈 스프레드 시트 문서 만들기
ss = ezsheets.createS... | 23.863636 | 62 | 0.737143 |
7ac894034e1f619251fe3ec435d7496765057222 | 4,158 | py | Python | official/audio/melgan/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/audio/melgan/eval.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/audio/melgan/eval.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... | 37.8 | 109 | 0.62482 |
bb32bbe04e04b5f3fd070e1b2b1575b440eafdc4 | 490 | py | Python | codeit/algorithm/fib_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/fib_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | codeit/algorithm/fib_memo.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """피보나치 수열 Memoization"""
def fib_memo(n, cache):
if n < 3:
return 1
if n in cache:
return cache[n]
cache[n] = fib_memo(n - 2, cache) + fib_memo(n - 1, cache)
return cache[n]
def fib(n):
# n번째 피보나치 수를 담는 사전
fib_cache = {}
return fib_memo(n, fib_cache)
if __name__ ... | 20.416667 | 62 | 0.581633 |
701e63a0eb1392bb35e5e801b97cc6aae8372040 | 2,121 | py | Python | aero_info.py | kirtis26/Missile3D | 23a868b34f7362dac5ce0dff254d990f4d0c4e92 | [
"MIT"
] | null | null | null | aero_info.py | kirtis26/Missile3D | 23a868b34f7362dac5ce0dff254d990f4d0c4e92 | [
"MIT"
] | null | null | null | aero_info.py | kirtis26/Missile3D | 23a868b34f7362dac5ce0dff254d990f4d0c4e92 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
def table_atm(h, parametr):
"""
Cтандартная атмосфера для высот h = -2000 м ... 80000 м (ГОСТ 4401-81)
arguments: h высота [м], parametr:
1 - температура [К];
2 - давление [Па];
3 -... | 31.656716 | 94 | 0.530882 |
70783165cd3fb9edb1ec92fcc5a029ba5024797c | 590 | py | Python | apps/quiver/forms.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 2 | 2017-12-17T21:28:22.000Z | 2018-02-02T14:44:58.000Z | apps/quiver/forms.py | IT-PM-OpenAdaptronik/Webapp | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | 118 | 2017-10-31T13:45:09.000Z | 2018-02-24T20:51:42.000Z | apps/quiver/forms.py | OpenAdaptronik/Rattler | c3bdde0ca56b6d77f49bc830fa2b8bb41a26bae4 | [
"MIT"
] | null | null | null | from django import forms
from django.utils.translation import gettext_lazy as _
from .models import AnalyticsService
class AnalyticsServiceForm(forms.ModelForm):
field_order = (
'name',
'description',
'url',
'api_key',
'visibility',
)
def __init__(self, *args, **k... | 21.071429 | 67 | 0.555932 |
3b1680f8c48497f62608c5fbf5364bcabd9c3bf9 | 1,288 | py | Python | leetcode/010-Regular-Expression-Matching/RegExpMatch.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2015-12-16T04:01:03.000Z | 2015-12-16T04:01:03.000Z | leetcode/010-Regular-Expression-Matching/RegExpMatch.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 1 | 2016-02-09T06:00:07.000Z | 2016-02-09T07:20:13.000Z | leetcode/010-Regular-Expression-Matching/RegExpMatch.py | cc13ny/all-in | bc0b01e44e121ea68724da16f25f7e24386c53de | [
"MIT"
] | 2 | 2019-06-27T09:07:26.000Z | 2019-07-01T04:40:13.000Z | class Solution(object):
def isMatch(self, s, p):
"""
:type s: str
:type p: str
:rtype: bool
"""
n_s = len(s)
n_star = 0
seg = []
i = len(p) - 1
while i > -1:
if p[i] == '*':
n_star += 1
seg.i... | 28 | 113 | 0.321429 |
3b5a0df898048828f4c520e9b8d8fa29121269d4 | 2,459 | py | Python | warf/urls.py | acaciawater/warf | 2c2f5f38f6f681549f34e335e88fb6e7e4b7d229 | [
"MIT"
] | null | null | null | warf/urls.py | acaciawater/warf | 2c2f5f38f6f681549f34e335e88fb6e7e4b7d229 | [
"MIT"
] | null | null | null | warf/urls.py | acaciawater/warf | 2c2f5f38f6f681549f34e335e88fb6e7e4b7d229 | [
"MIT"
] | null | null | null | """warf URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.8/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-based ... | 42.396552 | 80 | 0.660838 |
8ed1051b90c83fd42c2125034f9fa9858f735a06 | 2,252 | py | Python | pyventskalender/tag11.py | kopp/pyventskalender | 6f6455f3c1db07f65a772b2716e4be95fbcd1804 | [
"MIT"
] | null | null | null | pyventskalender/tag11.py | kopp/pyventskalender | 6f6455f3c1db07f65a772b2716e4be95fbcd1804 | [
"MIT"
] | null | null | null | pyventskalender/tag11.py | kopp/pyventskalender | 6f6455f3c1db07f65a772b2716e4be95fbcd1804 | [
"MIT"
] | null | null | null | # Heute geht es um das Dictionary, `dict`, einen Container, mit dem man Daten
# mit "Stichworten" ablegen und auslesen kann.
#
# Wir bleiben thematisch beim Einlesen der Datei mit Gewichten.
# Wie wir sie lesen und den Inhalt extrahieren haben wir verstanden.
# Doch um aktuell bspw. die Frage zu beantworten, was das Hö... | 32.171429 | 79 | 0.723801 |
15e077649c4d54f45c9db25294bbe2de314c2d0f | 1,523 | py | Python | python/asyncio/example_3.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/example_3.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | python/asyncio/example_3.py | zeroam/TIL | 43e3573be44c7f7aa4600ff8a34e99a65cbdc5d1 | [
"MIT"
] | null | null | null | """
example_3.py
Just a short example demonstrating a simple state machine in Python
However, this one has delays that affect it
"""
import time
import queue
def check_time(func):
def wrapper(*args, **kwargs):
start_time = time.time()
func(*args, **kwargs)
print(f'Task {args[0]} total el... | 23.075758 | 83 | 0.550886 |
c61c855194ada76d3956f7dc1656562be0558a60 | 1,501 | py | Python | chapter100/postgres_03.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter100/postgres_03.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | chapter100/postgres_03.py | thiagola92/learning-databases-with-python | cf23c34d7fd1ecd36dd3e7b30dc5916eb23eaf1e | [
"MIT"
] | null | null | null | import asyncio
import psycopg
from datetime import datetime
start = datetime.now()
async def main():
client = await psycopg.AsyncConnection.connect(
"postgres://username:password@127.0.0.1"
)
cursor = await client.cursor()
await cursor.execute(
"""
CREATE TABLE table_name(
... | 23.825397 | 71 | 0.571619 |
c62ddfcde20e40bca5ab0c76df0f397bf947ced5 | 24,032 | py | Python | Packs/Ansible_Powered_Integrations/Integrations/VMwareV2/VMwareV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Ansible_Powered_Integrations/Integrations/VMwareV2/VMwareV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Ansible_Powered_Integrations/Integrations/VMwareV2/VMwareV2.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import traceback
from typing import Dict, cast
import ansible_runner
import demistomock as demisto # noqa: F401
import ssh_agent_setup
from CommonServerPython import * # noqa: F401
# Dict to Markdown Converter adapted from https://github.com/PolBaladas/torsimany/
def dict2md(json_block, depth=0):
m... | 56.679245 | 109 | 0.656666 |
d6a5db705d8f686da0afa5b69e90350e26b17f99 | 20,538 | py | Python | server/game_logic.py | JungleState/ksr_junglestate | 99e86458b5056507bd36906f295bef11f2c734f5 | [
"MIT"
] | 1 | 2022-01-25T07:53:12.000Z | 2022-01-25T07:53:12.000Z | server/game_logic.py | JungleState/ksr_junglestate | 99e86458b5056507bd36906f295bef11f2c734f5 | [
"MIT"
] | 14 | 2022-01-03T13:19:11.000Z | 2022-01-12T15:36:42.000Z | server/game_logic.py | JungleState/ksr_junglestate | 99e86458b5056507bd36906f295bef11f2c734f5 | [
"MIT"
] | null | null | null | from random import randint
import functools
import logging
import threading
logging.getLogger().setLevel("DEBUG")
class Item:
def __init__(self, name, id):
self.name = name
self.id = id
def __str__(self) -> str:
return self.id
class Rules:
TIME_TO_MOVE = 0.5
SIGHT = 2
c... | 36.806452 | 207 | 0.539634 |
242ab624f6041e0f0ff0c58d127b511bf351b7a3 | 2,277 | py | Python | official/audio/melgan/ascend310_infer/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 77 | 2021-10-15T08:32:37.000Z | 2022-03-30T13:09:11.000Z | official/audio/melgan/ascend310_infer/preprocess.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 3 | 2021-10-30T14:44:57.000Z | 2022-02-14T06:57:57.000Z | official/audio/melgan/ascend310_infer/preprocess.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... | 42.166667 | 92 | 0.658762 |
cc6957a197b7f3640abef490156842f956195524 | 1,090 | py | Python | src/onegov/ballot/models/election/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/election/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/ballot/models/election/__init__.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.ballot.models.election.association import ElectionAssociation
from onegov.ballot.models.election.candidate import Candidate
from onegov.ballot.models.election.candidate_result import CandidateResult
from onegov.ballot.models.election.election import Election
from onegov.ballot.models.election.election_compo... | 37.586207 | 76 | 0.815596 |
cca977640d2f6e18b7bb9a3f372ec4db7db02e25 | 2,621 | py | Python | datastories_semeval2017_task4/embeddings/WordVectorsManager.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 1 | 2020-06-04T13:20:45.000Z | 2020-06-04T13:20:45.000Z | datastories_semeval2017_task4/embeddings/WordVectorsManager.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | 6 | 2020-06-03T18:45:11.000Z | 2022-02-10T01:51:03.000Z | datastories_semeval2017_task4/embeddings/WordVectorsManager.py | florianfricke/Bachelor_Thesis_Sentiment_Analyse | aa1fa95cfbc13115ee60baaf79eab0d1940998ab | [
"MIT"
] | null | null | null | import errno
import os
import pickle
import numpy
from utilities_nn.ResourceManager import ResourceManager
class WordVectorsManager(ResourceManager):
def __init__(self, corpus=None, dim=None, omit_non_english=False):
super().__init__()
self.omit_non_english = omit_non_english
self.wv_filena... | 40.323077 | 109 | 0.54979 |
d1d5c4248dc98ceb78d1d3d12f2b463f38fb1d21 | 899 | py | Python | IVTa/2014/BURMISTROV_V_D/task4_45.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/BURMISTROV_V_D/task4_45.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/BURMISTROV_V_D/task4_45.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 4. Вариант 45.
# Напишите программу, которая выводит имя, под которым скрывается Борис Николаевич Кампов. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хранения всех... | 47.315789 | 445 | 0.775306 |
ae5e5a697b06aaa04f673eeb7ff7efe22a339346 | 197 | py | Python | exercises/de/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 2,085 | 2019-04-17T13:10:40.000Z | 2022-03-30T21:51:46.000Z | exercises/de/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 79 | 2019-04-18T14:42:55.000Z | 2022-03-07T08:15:43.000Z | exercises/de/solution_03_14_03.py | Jette16/spacy-course | 32df0c8f6192de6c9daba89740a28c0537e4d6a0 | [
"MIT"
] | 361 | 2019-04-17T13:34:32.000Z | 2022-03-28T04:42:45.000Z | from spacy.lang.de import German
nlp = German()
people = ["David Bowie", "Angela Merkel", "Lady Gaga"]
# Erstelle eine Liste von Patterns für den PhraseMatcher
patterns = list(nlp.pipe(people))
| 21.888889 | 56 | 0.730964 |
ee0bdabfe7177e17c0250471fb986fa7c87bf387 | 449 | py | Python | pacman-arch/test/pacman/tests/sync893.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/tests/sync893.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/tests/sync893.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | self.description = "conflict 'db vs db'"
sp1 = pmpkg("pkg1", "1.0-2")
sp1.conflicts = ["pkg2"]
self.addpkg2db("sync", sp1);
sp2 = pmpkg("pkg2", "1.0-2")
self.addpkg2db("sync", sp2)
lp1 = pmpkg("pkg1")
self.addpkg2db("local", lp1)
lp2 = pmpkg("pkg2")
self.addpkg2db("local", lp2)
self.args = "-S %s --ask=4" % " ".jo... | 21.380952 | 68 | 0.64588 |
c9d1d1114e0bf8d6bd40c016bd8fc62824b2c634 | 640 | py | Python | ICHSA/2021/crypto/Baby_Homework/best_crypto_service.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | 1 | 2021-11-02T20:53:58.000Z | 2021-11-02T20:53:58.000Z | ICHSA/2021/crypto/Baby_Homework/best_crypto_service.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | ICHSA/2021/crypto/Baby_Homework/best_crypto_service.py | ruhan-islam/ctf-archives | 8c2bf6a608c821314d1a1cfaa05a6cccef8e3103 | [
"MIT"
] | null | null | null | #!/usr/local/bin/python2
from Crypto.Cipher.AES import AESCipher
import os, random, binascii
from sys import argv
import string
import sys
def padding(data):
pad_size = 16 - (len(data) % 16)
data = data + "".join([random.choice(string.printable) for _ in range(pad_size)])
return data
def e... | 24.615385 | 86 | 0.678125 |
4e44df4dba1220622395129688ddb6a7ecd10074 | 13,501 | py | Python | premium-main/setting.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | premium-main/setting.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | premium-main/setting.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | ###########################################################################
# TEAM : ZEE K WORLD,MR.RISKY,WANSXGANS, #
# SOSIAL : #
# - Facebook : https://m.facebook.com/llovexnxx #
# - WhatsApp : https://wa.me/6283143565470 #
# - TeleGram : 6283143565470 #
# - Github : ... | 34.976684 | 390 | 0.59403 |
01623b6ac7c423b3e033ba536d9e56a325ace94d | 92 | py | Python | 2014/12/state-outbreak-preparedness/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 14 | 2015-05-08T13:41:51.000Z | 2021-02-24T12:34:55.000Z | 2014/12/state-outbreak-preparedness/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | null | null | null | 2014/12/state-outbreak-preparedness/graphic_config.py | nprapps/graphics-archive | 97b0ef326b46a959df930f5522d325e537f7a655 | [
"FSFAP"
] | 7 | 2015-04-04T04:45:54.000Z | 2021-02-18T11:12:48.000Z | #!/usr/bin/env python
COPY_GOOGLE_DOC_KEY = '1exAtJogmunF-R70TvaWDUeSI_l3hBNGAQqIlfiz7uP8'
| 23 | 68 | 0.836957 |
6dbe7269619cd4767cc2fe11a43620e6cdd14447 | 392 | py | Python | SoSe-21/Code-Vorlesungen/VL-7/Gruppe-Montag/VL-Histogramm.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | 1 | 2022-03-23T09:40:39.000Z | 2022-03-23T09:40:39.000Z | SoSe-21/Code-Vorlesungen/VL-7/Gruppe-Montag/VL-Histogramm.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | SoSe-21/Code-Vorlesungen/VL-7/Gruppe-Montag/VL-Histogramm.py | jonasrdt/Wirtschaftsinformatik2 | 30d5d896808b98664c55cb6fbb3b30a7f1904d9f | [
"MIT"
] | null | null | null | # import matplotlib.pyplot as plt
# Menge an Werten
zahlen = "1203456708948673516874354531568764645"
# Initialisieren der Histogramm Variable
histogramm = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
for index in range(len(zahlen)):
histogramm[int(zahlen[index])] += 1
# plt.hist(histogramm, bins = 9)
# plt.show()
for i in r... | 24.5 | 60 | 0.67602 |
6dc3d3e7a80eac5dc41e59f1b8431ccbb2626936 | 751 | py | Python | jobs/tasks/pay/index.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | 2 | 2019-06-10T08:57:47.000Z | 2021-06-12T16:22:15.000Z | jobs/tasks/pay/index.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | jobs/tasks/pay/index.py | yao6891/FlaskOrdering | cbd24bd8d95afaba91ce4d6b1b3548c4e82e3807 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from common.models.pay.PayOrder import PayOrder
from common.libs.Helper import get_format_date
from common.libs.pay.PayService import PayService
import datetime
from application import app,db
'''
python manager.py runjob -m pay/index
'''
class JobTask():
def __init__(self):
pass
def run(se... | 28.884615 | 83 | 0.724368 |
6de8bc77d99bd8c2b60621a8c6ad7cdc2d5243b7 | 303 | py | Python | asteroid/utils/test_utils.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 3 | 2020-09-30T02:32:08.000Z | 2021-02-05T04:48:01.000Z | asteroid/utils/test_utils.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 1 | 2020-09-17T08:55:12.000Z | 2020-09-17T08:55:12.000Z | asteroid/utils/test_utils.py | groadabike/asteroid | 276d98346ab791d904fbfe79b9b8e374392dd128 | [
"MIT"
] | 1 | 2021-02-05T04:48:05.000Z | 2021-02-05T04:48:05.000Z | import torch
from torch.utils import data
class DummyDataset(data.Dataset):
def __init__(self):
self.inp_dim = 10
self.out_dim = 10
def __len__(self):
return 20
def __getitem__(self, idx):
return torch.randn(1, self.inp_dim), torch.randn(1, self.out_dim)
| 20.2 | 73 | 0.650165 |
feea298fda9086d758aa991fce9281751e0298f3 | 2,753 | py | Python | DQN/CartPole/DQN_brain.py | pickxiguapi/rl-algorithm | a57991acd178077fd7f51bcd4ae2ee58492475c2 | [
"MIT"
] | 2 | 2021-01-06T09:45:23.000Z | 2021-04-21T09:39:14.000Z | DQN/CartPole/DQN_brain.py | pickxiguapi/rl-algorithm | a57991acd178077fd7f51bcd4ae2ee58492475c2 | [
"MIT"
] | null | null | null | DQN/CartPole/DQN_brain.py | pickxiguapi/rl-algorithm | a57991acd178077fd7f51bcd4ae2ee58492475c2 | [
"MIT"
] | null | null | null | # -*- encoding: utf-8 -*-
"""
@File : DQN_brain.py
@Time : 2020/12/4
@Author : Yuan Yifu
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
MEMORY_CAPACITY = 2000
N_STATE = 4
N_ACTIONS = 2
EPSILON = 0.9
LR = 0.01
REPLACE_COUNTER = 100
BATCH_SIZE = 32
GAMMA = 0.9
class Ne... | 28.978947 | 78 | 0.596803 |
3ab24c20823920d5111b8036369161a00d3ac54a | 1,384 | py | Python | nnc/migrations/0002_auto_20210729_1145.py | JanakiRaman-2002/Arre-yaar | c0b44ca1f8884a09116241dcd0bf7cfcee3b785d | [
"Apache-2.0"
] | null | null | null | nnc/migrations/0002_auto_20210729_1145.py | JanakiRaman-2002/Arre-yaar | c0b44ca1f8884a09116241dcd0bf7cfcee3b785d | [
"Apache-2.0"
] | null | null | null | nnc/migrations/0002_auto_20210729_1145.py | JanakiRaman-2002/Arre-yaar | c0b44ca1f8884a09116241dcd0bf7cfcee3b785d | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2 on 2021-07-29 06:15
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('nnc', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Product',
field... | 35.487179 | 123 | 0.568642 |
42e032ee6f5fd3a434b14ad21b08ade337d214d7 | 9,115 | py | Python | pacman-arch/test/pacman/pmdb.py | Maxython/pacman-for-termux | 3b208eb9274cbfc7a27fca673ea8a58f09ebad47 | [
"MIT"
] | 23 | 2021-05-21T19:11:06.000Z | 2022-03-31T18:14:20.000Z | source/pacman-6.0.1/test/pacman/pmdb.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 11 | 2021-05-21T12:08:44.000Z | 2021-12-21T08:30:08.000Z | source/pacman-6.0.1/test/pacman/pmdb.py | Scottx86-64/dotfiles-1 | 51004b1e2b032664cce6b553d2052757c286087d | [
"Unlicense"
] | 1 | 2021-09-26T08:44:40.000Z | 2021-09-26T08:44:40.000Z | # Copyright (c) 2006 by Aurelien Foret <orelien@chez.com>
# Copyright (c) 2006-2021 Pacman Development Team <pacman-dev@archlinux.org>
#
# 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; eith... | 34.923372 | 82 | 0.531761 |
b0cfc3d3bf9955fb661e1ec0bd1d6dc5443cb1b0 | 1,073 | py | Python | frappe-bench/apps/erpnext/erpnext/patches/v6_2/fix_missing_default_taxes_and_lead.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/patches/v6_2/fix_missing_default_taxes_and_lead.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/patches/v6_2/fix_missing_default_taxes_and_lead.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
import frappe
def execute():
# remove missing lead
for customer in frappe.db.sql_list("""select name from `tabCustomer`
where ifnull(lead_name, '')!='' and not exists (select name from `tabLead` where name=`tabCustomer`.lead_name)"""):
frappe.db.set_value("Customer", custo... | 41.269231 | 117 | 0.744641 |
c6e2d5025d80a181409d731ccf587ea75bb94b51 | 725 | py | Python | ___Python/Carsten/p13_parameter/m01_parameter.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Carsten/p13_parameter/m01_parameter.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | ___Python/Carsten/p13_parameter/m01_parameter.py | uvenil/PythonKurs201806 | 85afa9c9515f5dd8bec0c546f077d8cc39568fe8 | [
"Apache-2.0"
] | null | null | null | def mittelwert(liste):
return sum(liste)/len(liste)
def mittelwert2(*liste):
return sum(liste)/len(liste)
print(mittelwert([3, 4, 5]))
print(mittelwert2(3, 4, 5))
def ausgabe(Liste, ende="\n"):
for element in Liste:
print(element, end=ende)
def ausgabe2(Liste, **kwargs):
ende... | 24.166667 | 77 | 0.645517 |
b1b4780e8e74008de4143424c97cc6503058ec3b | 2,011 | py | Python | code/paamestia.py | zauberwild/paamestia | 88ba643d6d9dc14d8abc686d464f723ea840e4f6 | [
"MIT"
] | 1 | 2020-12-24T12:20:26.000Z | 2020-12-24T12:20:26.000Z | code/paamestia.py | zauberwild/paamestia | 88ba643d6d9dc14d8abc686d464f723ea840e4f6 | [
"MIT"
] | null | null | null | code/paamestia.py | zauberwild/paamestia | 88ba643d6d9dc14d8abc686d464f723ea840e4f6 | [
"MIT"
] | null | null | null | """
paamestia
main script
"""
# pygame stuff
import pygame
import pygame.freetype
pygame.init()
pygame.freetype.init()
# imports
import globals as gl
import ext_ui_methods_lib as ui
""" ### ### main loop ### ### """
while gl.prog_active:
ui.loop()
# run external methods according to prog_pos
if gl.prog_pos == ... | 23.658824 | 90 | 0.61462 |
5520a59059023af687e2cd895064ca5eb926e4f5 | 579 | py | Python | Chapter5_DNN/Chapter5_5_NeuralNetworkGUI/start/drawer/src/preprocessing.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter5_DNN/Chapter5_5_NeuralNetworkGUI/start/drawer/src/preprocessing.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | Chapter5_DNN/Chapter5_5_NeuralNetworkGUI/start/drawer/src/preprocessing.py | thisisjako/UdemyTF | ee4102391ed6bd50f764955f732f5740425a9209 | [
"MIT"
] | null | null | null | import os
from typing import Any
import cv2
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage import center_of_mass
FILE_PATH = os.path.abspath(__file__)
PROJECT_DIR = os.path.dirname(os.path.dirname(FILE_PATH))
def load(image_path: str) -> np.ndarray:
pass # TODO
def resize(image: np.n... | 17.545455 | 68 | 0.704663 |
9b596c057f676eb8d344832bc535c05925d901d7 | 1,000 | py | Python | rvk/keys/rvk_keys.py | DennisTobola/jskos-data | d32837447b01498fc4c05c49c534d4ab4faae35f | [
"CC0-1.0"
] | 7 | 2015-10-02T15:43:56.000Z | 2021-12-07T11:20:46.000Z | rvk/keys/rvk_keys.py | DennisTobola/jskos-data | d32837447b01498fc4c05c49c534d4ab4faae35f | [
"CC0-1.0"
] | 22 | 2015-11-06T14:33:55.000Z | 2022-03-31T11:48:11.000Z | rvk/keys/rvk_keys.py | DennisTobola/jskos-data | d32837447b01498fc4c05c49c534d4ab4faae35f | [
"CC0-1.0"
] | 4 | 2018-10-17T13:06:57.000Z | 2022-03-14T08:46:35.000Z | #!/usr/bin/env python3
import csv
import sys
inputfile = sys.argv[1]
csvwriter = csv.writer(sys.stdout, delimiter=',')
csvwriter.writerow(("notation", "prefLabel", "broaderNotation"))
dict = {}
with open(inputfile, newline='') as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for row in reader:
... | 25 | 64 | 0.542 |
85ddfdee024df99ee33c491242c5dfd17b5299fe | 1,735 | py | Python | 842/Fcat_842_backtracking.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | 842/Fcat_842_backtracking.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | 842/Fcat_842_backtracking.py | Leetcode-Secret-Society/warehouse | 40d7969683b1296f361e799cda37f15ceec52af8 | [
"MIT"
] | null | null | null | from typing import List
class Solution:
def splitIntoFibonacci(self, num: str) -> List[int]:
def check_next_fib(fibs, index):
while str(fibs[-1] + fibs[-2]) == num[index:index + len(str(fibs[-1] + fibs[-2]))]:
if fibs[-1] + fibs[-2] >= 2147483648:
return Fal... | 36.145833 | 95 | 0.459366 |
c82a47e72d6874b62a23d6e009c4375e5b84c92f | 75 | py | Python | python/python_backup/PRAC_PYTHON/fast.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 16 | 2018-11-26T08:39:42.000Z | 2019-05-08T10:09:52.000Z | python/python_backup/PRAC_PYTHON/fast.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 8 | 2020-05-04T06:29:26.000Z | 2022-02-12T05:33:16.000Z | python/python_backup/PRAC_PYTHON/fast.py | SayanGhoshBDA/code-backup | 8b6135facc0e598e9686b2e8eb2d69dd68198b80 | [
"MIT"
] | 5 | 2020-02-11T16:02:21.000Z | 2021-02-05T07:48:30.000Z | l=input("enter a no")
h=input("enter another no")
a=(l*h)
print "area",a | 18.75 | 28 | 0.626667 |
f1f4099023e6b6d59f30abee8dc1afadb79b3acf | 146 | py | Python | 3.Python/shelb-doc.py | AyushSarode/Hacktoberfest2020-Newbie | f7194dabcefb7e808eaedc852c630cbd65367517 | [
"MIT"
] | 11 | 2020-10-02T06:37:32.000Z | 2020-10-28T09:09:33.000Z | 3.Python/shelb-doc.py | AyushSarode/Hacktoberfest2020-Newbie | f7194dabcefb7e808eaedc852c630cbd65367517 | [
"MIT"
] | 7 | 2020-10-08T09:03:22.000Z | 2020-11-03T23:58:13.000Z | 3.Python/shelb-doc.py | AyushSarode/Hacktoberfest2020-Newbie | f7194dabcefb7e808eaedc852c630cbd65367517 | [
"MIT"
] | 58 | 2020-09-29T15:35:39.000Z | 2021-10-05T17:35:15.000Z | name, age = "Shelby De Oliveira", 29
username = "shelb-doc"
print ('Hello!')
print("Name: {}\nAge: {}\nUsername: {}".format(name, age, username))
| 29.2 | 68 | 0.643836 |
cde2403b73ac9d49dcb8079c7134bc254f3991a7 | 7,346 | py | Python | packages/watchmen-rest-doll/src/watchmen_rest_doll/console/subject_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/console/subject_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | packages/watchmen-rest-doll/src/watchmen_rest_doll/console/subject_router.py | Indexical-Metrics-Measure-Advisory/watchmen | c54ec54d9f91034a38e51fd339ba66453d2c7a6d | [
"MIT"
] | null | null | null | from typing import Callable, List, Optional
from fastapi import APIRouter, Depends
from starlette.responses import Response
from watchmen_auth import PrincipalService
from watchmen_meta.common import ask_meta_storage, ask_snowflake_generator
from watchmen_meta.console import ConnectedSpaceService, ReportService, Subj... | 41.502825 | 124 | 0.737408 |
a93c59cdb6ee1b78cc1c59f343e289f1ca60fed7 | 210 | py | Python | src/python/py-accepted/236A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | 2 | 2019-09-07T17:00:26.000Z | 2020-08-05T02:08:35.000Z | src/python/py-accepted/236A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | src/python/py-accepted/236A.py | cbarnson/UVa | 0dd73fae656613e28b5aaf5880c5dad529316270 | [
"Unlicense",
"MIT"
] | null | null | null | #! python
# Problem # : 236A
# Created on : 2019-01-14 23:41:28
def Main():
cnt = len(set(input()))
print('IGNORE HIM!' if cnt & 1 else 'CHAT WITH HER!')
if __name__ == '__main__':
Main()
| 15 | 57 | 0.561905 |
9e058e1d235494a1c0cea3fb6861559ed48cbf3a | 959 | py | Python | Packs/CommonScripts/Scripts/FileCreateAndUploadV2/FileCreateAndUploadV2.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 1 | 2021-11-02T05:36:38.000Z | 2021-11-02T05:36:38.000Z | Packs/CommonScripts/Scripts/FileCreateAndUploadV2/FileCreateAndUploadV2.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | 61 | 2021-10-07T08:54:38.000Z | 2022-03-31T10:25:35.000Z | Packs/CommonScripts/Scripts/FileCreateAndUploadV2/FileCreateAndUploadV2.py | jrauen/content | 81a92be1cbb053a5f26a6f325eff3afc0ca840e0 | [
"MIT"
] | null | null | null | import base64
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
def main():
args = demisto.args()
filename = args.get('filename', '')
data = args.get('data', '')
data_encoding = args.get('data_encoding', 'raw')
entdy_id = args.get('entryId')
try:
... | 28.205882 | 76 | 0.607925 |
f57fecf4e45ef37fa99cd8f2c73cf05ae15afdd7 | 13,706 | py | Python | Packs/SOCRadar/Integrations/SOCRadarThreatFusion/SOCRadarThreatFusion_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/SOCRadar/Integrations/SOCRadarThreatFusion/SOCRadarThreatFusion_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/SOCRadar/Integrations/SOCRadarThreatFusion/SOCRadarThreatFusion_test.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import json
import io
import pytest
from CommonServerPython import DemistoException, FeedIndicatorType, CommandResults
def util_load_json(path):
with io.open(path, mode='r', encoding='utf-8') as f:
return json.loads(f.read())
SOCRADAR_API_ENDPOINT = 'https://platform.socradar.com/api'
CALCULATE_DBOT_S... | 31.292237 | 121 | 0.721509 |
27163f24d844c92ccb536a87d1157a8f38afad46 | 74 | py | Python | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P03_EvenPowersOf2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P03_EvenPowersOf2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | null | null | null | Python/M01_ProgrammingBasics/L04_ForLoop/Lab/Solutions/P03_EvenPowersOf2.py | todorkrastev/softuni-software-engineering | cfc0b5eaeb82951ff4d4668332ec3a31c59a5f84 | [
"MIT"
] | 1 | 2022-02-23T13:03:14.000Z | 2022-02-23T13:03:14.000Z | n = int(input())
for number in range(0, n + 1, 2):
print(2 ** number) | 18.5 | 33 | 0.554054 |
fdc3f82bfe8cd9cd0dfc5da504d65b190d0f8e4a | 491 | py | Python | profil/migrations/0010_auto_20191219_1938.py | AndiBr/ffksk | ff4bc4ad26d4571eaa1a6ff815b2e6a876f8ba99 | [
"MIT"
] | null | null | null | profil/migrations/0010_auto_20191219_1938.py | AndiBr/ffksk | ff4bc4ad26d4571eaa1a6ff815b2e6a876f8ba99 | [
"MIT"
] | 14 | 2018-09-12T06:59:55.000Z | 2020-02-26T07:17:48.000Z | profil/migrations/0010_auto_20191219_1938.py | AndiBr/ffksk | ff4bc4ad26d4571eaa1a6ff815b2e6a876f8ba99 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2019-12-19 18:38
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('profil', '0009_auto_20190112_2032'),
]
operations = [
migrati... | 22.318182 | 72 | 0.631365 |
e3014b4ac863fdcc0113d57c274d4b8a383198e1 | 649 | py | Python | command/generate_queries.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | command/generate_queries.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | command/generate_queries.py | Janrupf/airport-db-seeding | 768a9373f02ede5bf613d09270d2fbe84de37a97 | [
"MIT"
] | null | null | null | from pathlib import Path
def run(data):
scripts_path = Path("scripts/queries")
scripts_path.mkdir(parents=True, exist_ok=True)
target_path = Path("scripts/queries.sql")
contents = list()
for child in scripts_path.iterdir():
if child.is_file():
with open(child) as f:
... | 28.217391 | 62 | 0.550077 |
4733ace140f79fe7cd170dae520a781ee4570091 | 1,012 | py | Python | x2paddle/project_convertor/pytorch/torch2paddle/__init__.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 559 | 2019-01-14T06:01:55.000Z | 2022-03-31T02:52:43.000Z | x2paddle/project_convertor/pytorch/torch2paddle/__init__.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 353 | 2019-05-07T13:20:03.000Z | 2022-03-31T05:30:12.000Z | x2paddle/project_convertor/pytorch/torch2paddle/__init__.py | usertianqin/X2Paddle | b554a8094ca3e255ef4bd2e80337222a35625133 | [
"Apache-2.0"
] | 241 | 2018-12-25T02:13:51.000Z | 2022-03-27T23:21:43.000Z | # Copyright (c) 2021 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 appl... | 32.645161 | 74 | 0.76087 |
47d799e33ad3c0b215a7bc41a0380faf90812fe8 | 2,271 | py | Python | test/test_npu/test_network_ops/test_conv_tbc.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_conv_tbc.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_conv_tbc.py | Ascend/pytorch | 39849cf72dafe8d2fb68bd1679d8fd54ad60fcfc | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Huawei Technologies.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/licenses/BSD-3-Clause
#
# Unless required by applicable law... | 38.491525 | 75 | 0.704095 |
d056390316c4c3b08e77129ff3eda9ac506e66fc | 6,486 | py | Python | School/G11/Pizza.py | MastaCoder/Projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 5 | 2018-10-11T01:55:40.000Z | 2021-12-25T23:38:22.000Z | School/G11/Pizza.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | null | null | null | School/G11/Pizza.py | MastaCoder/mini_projects | ebb0a3134522b12f052fec8d753005f384adf1b1 | [
"MIT"
] | 1 | 2019-02-22T14:42:50.000Z | 2019-02-22T14:42:50.000Z | running = True
# Global Options
SIZES = {'small': [7.58, 0], 'medium': [9.69, 1], 'large': [12.09, 2], 'jumbo': [17.99, 3], 'party': [20.29, 4]} # [Price, ID]
TOPPINGS = {'pepperoni': [0, False], 'bacon': [0, True], 'sausage': [0, False], 'mushroom': [1, False], 'black olive': [1, False], 'green pepper': [1, False]} #... | 37.062857 | 177 | 0.533611 |
de3b726dcfd836a816338d387f0a4c0586d9837a | 8,238 | py | Python | Transformer/Transformer_.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | Transformer/Transformer_.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | Transformer/Transformer_.py | baowj-678/TC | 4c9bf6bf2202c9930616259d3f3e1a2b0529a6e6 | [
"MIT"
] | null | null | null | """
Transformer 实现
Author: Bao Wenjie
Date: 2021/3/7
REF: http://nlp.seas.harvard.edu/2018/04/03/attention.html
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
import math
from torch.autograd import Variable
from torch.nn.modules.container import Sequential
from to... | 31.204545 | 138 | 0.615319 |
7251a9cddcac3ca7253315617b552e7fb5136eae | 471 | py | Python | detect_anomalies.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | detect_anomalies.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | detect_anomalies.py | JoelHaubold/NzmLabeling | 363c027ce6584899025f79ea4758e1808b2aa96a | [
"MIT"
] | null | null | null | import logarithmoforecast
import pandas as pd
from pathlib import Path
def create_ml_dataframe(station_name, phase, pickle_dir=Path('pickles')):
path = pickle_dir / station_name
df_ml = pd.read_pickle(path / ("h_phase"+str(phase)))
df_ml.drop(columns=['ServiceDeliveryPoint'])
print(df_ml)
def main()... | 24.789474 | 73 | 0.740977 |
a0ccc9c86f74e1c212fb9075845bda4af158fdd4 | 3,641 | py | Python | official/cv/mobilenetv2_quant/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2021-07-08T13:10:42.000Z | 2021-11-08T02:48:57.000Z | official/cv/mobilenetv2_quant/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | null | null | null | official/cv/mobilenetv2_quant/export.py | leelige/mindspore | 5199e05ba3888963473f2b07da3f7bca5b9ef6dc | [
"Apache-2.0"
] | 2 | 2019-09-01T06:17:04.000Z | 2019-10-04T08:39:45.000Z | # Copyright 2020 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... | 49.876712 | 111 | 0.642131 |
9d606bc58b436b44d159a2d4a2bfa6fd8143c76e | 871 | py | Python | savageml/utility/loss_functions.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | savageml/utility/loss_functions.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | savageml/utility/loss_functions.py | savagewil/SavageML | d5aa9a5305b5de088e3bf32778252c877faec41d | [
"MIT"
] | null | null | null | from enum import Enum
import numpy as np
def mean_squared_error(observed_value: np.ndarray, predicted_value: np.ndarray, axis: tuple = None) -> np.ndarray:
if axis is None:
return np.mean(np.square(np.subtract(observed_value, predicted_value)))
else:
return np.mean(np.square(np.subtract(obser... | 33.5 | 125 | 0.746269 |
5f1babfeaa215707d37f84a6fbfd72f88443e789 | 382 | py | Python | IVTa/2014/SAVCHENKOV_A_M/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/SAVCHENKOV_A_M/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTa/2014/SAVCHENKOV_A_M/task_1_28.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | # Задача 1. Вариант 28
# Напишите программу, которая будет сообщать род деятельности и псевдоним под
# которым скрывается Норма Бейкер. После вывода информации программа должна
# дожидаться пока пользователь нажмет Enter для выхода.
print("Норма Бейкер, более известная как Мэрилин Монро - американская \nкиноактриса, ... | 54.571429 | 108 | 0.795812 |
26786c4a1069b5de398f71e5114d509f1670b3b0 | 143 | py | Python | hardware/chip/rtl872xd/hal/hal_test/ucube.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 4,538 | 2017-10-20T05:19:03.000Z | 2022-03-30T02:29:30.000Z | hardware/chip/rtl872xd/hal/hal_test/ucube.py | wstong999/AliOS-Things | 6554769cb5b797e28a30a4aa89b3f4cb2ef2f5d9 | [
"Apache-2.0"
] | 1,088 | 2017-10-21T07:57:22.000Z | 2022-03-31T08:15:49.000Z | hardware/chip/rtl872xd/hal/hal_test/ucube.py | willianchanlovegithub/AliOS-Things | 637c0802cab667b872d3b97a121e18c66f256eab | [
"Apache-2.0"
] | 1,860 | 2017-10-20T05:22:35.000Z | 2022-03-27T10:54:14.000Z | src = Split('''
hal_test.c
''')
component = aos_component('hal_test', src)
component.add_cflags('-Wall')
component.add_cflags('-Werror')
| 15.888889 | 42 | 0.685315 |
26e3e51359c7f6d973f7e33c603f8cd613694d58 | 2,545 | py | Python | DataStructure/U12/U12_79.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | 1 | 2019-10-29T08:21:41.000Z | 2019-10-29T08:21:41.000Z | DataStructure/U12/U12_79.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | null | null | null | DataStructure/U12/U12_79.py | qiaw99/Data-Structure | 3b1cdce96d4f35329ccfec29c03de57378ef0552 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
#string = sys.argv[1]
def initialize():
string = "1 2 3, 1 -2, 2 -3"
clauses = string.split(',')
print("Boolean Formel: ", clauses)
length = len(string)
global ls, substitution, value
value = []
substitution = [0, 1]
ls = [No... | 20.198413 | 73 | 0.463261 |
f8220b2d2e4a2f9c3b32b095852979df43be7131 | 1,008 | py | Python | test/test_levenshtein.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 6 | 2018-12-20T06:50:52.000Z | 2021-12-16T13:08:38.000Z | test/test_levenshtein.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 1 | 2020-06-29T07:00:51.000Z | 2020-06-29T07:00:51.000Z | test/test_levenshtein.py | katsugeneration/schuss | 30e2303aa0646f0a4424cbc4b5422acc58a06218 | [
"Apache-2.0"
] | 1 | 2022-03-04T07:29:55.000Z | 2022-03-04T07:29:55.000Z | from parameterized import parameterized
from nose.tools import assert_equal, assert_true
import os
import sys
dir_path = os.path.dirname(os.path.abspath(__file__))
module_path = os.path.join(dir_path, "../src")
if module_path not in sys.path:
sys.path.append(module_path)
os.chdir(dir_path)
class TestSPTokenizer... | 31.5 | 53 | 0.641865 |
f89bb5eabd945384434347dd1427bbd72171300c | 4,293 | py | Python | gdp1/assignment_4/hanoi.py | einekatze/gdp1-homework | 28889dfa1863e1f1dee164e5b465dddb1cfacfcc | [
"MIT"
] | null | null | null | gdp1/assignment_4/hanoi.py | einekatze/gdp1-homework | 28889dfa1863e1f1dee164e5b465dddb1cfacfcc | [
"MIT"
] | null | null | null | gdp1/assignment_4/hanoi.py | einekatze/gdp1-homework | 28889dfa1863e1f1dee164e5b465dddb1cfacfcc | [
"MIT"
] | null | null | null | import curses
import sys
from os import path
class TowerOfHanoi:
def __init__(self, stdscr):
self.disks = 0
self.pegs = []
# For the curses-based UI.
self.stdscr = stdscr
self.x_base = 5
self.y_base = 2
def init_curses_colors(self):
curses.init_color(1... | 28.62 | 116 | 0.566969 |
e4a060c55419c13e5662d1b033d518ce0494f5fc | 890 | py | Python | agents/nets/cnn2.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | 2 | 2021-01-07T01:10:49.000Z | 2022-01-21T09:37:16.000Z | agents/nets/cnn2.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | agents/nets/cnn2.py | etigerstudio/zilong-on-fire | 5144a471b2d39ea38a47d394e648de00dd13cd8b | [
"MIT"
] | null | null | null | from tensorflow.keras import Model
from tensorflow.keras.layers import Conv2D, Flatten, Dense, Input
class CNN2Net(Model):
def __init__(self, output_dim=3):
"""
Args:
output_dim: 网络需要三个输出，对应3个动作的累积回报
"""
super(CNN2Net, self).__init__()
self.c1 = Conv2D(filters=... | 27.8125 | 93 | 0.561798 |
90044b4795cabd524ecd61fd4425e141f39d9606 | 83 | py | Python | examples/nowcoder/SQL7/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 5 | 2020-07-14T07:48:10.000Z | 2021-12-20T21:20:10.000Z | examples/nowcoder/SQL7/apps.py | zhengtong0898/django-decode | 69680853a4a5b07f6a9c4b65c7d86b2d401a92b1 | [
"MIT"
] | 7 | 2021-03-26T03:13:38.000Z | 2022-03-12T00:42:03.000Z | examples/nowcoder/SQL7/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 Sql7Config(AppConfig):
name = 'SQL7'
| 13.833333 | 33 | 0.73494 |
f2e7936fbf1f9c345615a76cbbee0a4ffa951e89 | 986 | py | Python | ref/dockerfiles-master/kinesis/consumer.py | DavidSche/davidche.tools | 739578f2f92ad9cc120a0e08c30b9910efcd0033 | [
"Apache-2.0"
] | 2 | 2021-04-25T06:18:26.000Z | 2021-11-14T15:49:51.000Z | ref/dockerfiles-master/kinesis/consumer.py | DavidSche/davidche.tools | 739578f2f92ad9cc120a0e08c30b9910efcd0033 | [
"Apache-2.0"
] | null | null | null | ref/dockerfiles-master/kinesis/consumer.py | DavidSche/davidche.tools | 739578f2f92ad9cc120a0e08c30b9910efcd0033 | [
"Apache-2.0"
] | 1 | 2022-03-23T00:36:06.000Z | 2022-03-23T00:36:06.000Z | import boto3
import json
import time
import os
client = boto3.Session(region_name='eu-west-1').client('kinesis', aws_access_key_id='', aws_secret_access_key='', endpoint_url='http://localhost:4567')
stream_details = client.describe_stream(StreamName='mystream')
shard_id = stream_details['StreamDescription']['Shards'][... | 39.44 | 151 | 0.713996 |
8429c53f7fd28307a11ce122a67b429fe703dee1 | 10,777 | py | Python | src/main/python/view/plot_utils.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/view/plot_utils.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | null | null | null | src/main/python/view/plot_utils.py | gwdgithubnom/ox-patient | cddf4fe381cb4506db8e0d62803dd2044cf7ad92 | [
"MIT"
] | 1 | 2021-04-14T00:45:38.000Z | 2021-04-14T00:45:38.000Z | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
from context import resource_manager
import pandas
import numpy
from tools import logger
import numpy as np
import matplotlib.pyplot as plt
log = logger.getLogger()
def plot_image_file(img):
plt.imshow(img)
plt.show()
def plot_image(narray, w='... | 34.10443 | 141 | 0.461538 |
08138e27474e66b5810b4b252a33adee270963de | 87 | py | Python | Django/ballon/apps.py | ballon3/GRAD | c630e32272fe34ead590c04d8360169e02be87f1 | [
"MIT"
] | null | null | null | Django/ballon/apps.py | ballon3/GRAD | c630e32272fe34ead590c04d8360169e02be87f1 | [
"MIT"
] | null | null | null | Django/ballon/apps.py | ballon3/GRAD | c630e32272fe34ead590c04d8360169e02be87f1 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class BallonConfig(AppConfig):
name = 'ballon'
| 14.5 | 33 | 0.747126 |
d9fc1f3c4ad13786efc9302efb8fa7ea490ce0da | 5,504 | py | Python | frappe-bench/apps/erpnext/erpnext/demo/user/purchase.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/demo/user/purchase.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | frappe-bench/apps/erpnext/erpnext/demo/user/purchase.py | Semicheche/foa_frappe_docker | a186b65d5e807dd4caf049e8aeb3620a799c1225 | [
"MIT"
] | null | null | null | # 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, random
from frappe.utils.make_random import how_many, get_random
from frappe.desk import query_report
from erpnext.setup.utils import ge... | 35.057325 | 94 | 0.742914 |
8a0a0862cfd8814dd290af9a040daeea80778378 | 1,682 | py | Python | tests/integration/server/search_api_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | tests/integration/server/search_api_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | 1 | 2019-07-08T22:32:43.000Z | 2019-07-08T22:32:43.000Z | tests/integration/server/search_api_tests.py | akgunkel/sawtooth-next-directory | a88833033ab30e9091479a38947f04c5e396ca46 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 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 ... | 38.227273 | 88 | 0.615339 |
6a8786049d93e5d64909f980dc2b63e8b8fc9186 | 18,405 | py | Python | Packs/CloudConvert/Integrations/CloudConvert/CloudConvert.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/CloudConvert/Integrations/CloudConvert/CloudConvert.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/CloudConvert/Integrations/CloudConvert/CloudConvert.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 *
import urllib3
from typing import Any, Dict
# Disable insecure warnings
urllib3.disable_warnings()
class Client(BaseClient):
@logger
def __init__(self, headers, verify=False, proxy=False):
url = 'https://api.cloudconvert.com/v2'
... | 37.484725 | 123 | 0.639065 |
0ab7436f0492d2dec23bf952529e99ce9b35b6d4 | 117 | py | Python | classification/scripts/get_configsSize.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | 1 | 2020-07-11T04:24:40.000Z | 2020-07-11T04:24:40.000Z | classification/scripts/get_configsSize.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | null | null | null | classification/scripts/get_configsSize.py | s-santoro/lunch-crawler | 1e39b1d35d76067a55b2c034d0488a6ec53f8a45 | [
"Apache-2.0"
] | null | null | null | import os
from configs.Configurations import Configurations
configs = Configurations().configs
print(len(configs))
| 16.714286 | 49 | 0.820513 |
077e695b9af2564011604b4c4473cecbffac1320 | 250 | py | Python | exercises/zh/test_02_10_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | 2 | 2020-07-07T01:46:37.000Z | 2021-04-20T03:19:43.000Z | exercises/zh/test_02_10_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | exercises/zh/test_02_10_01.py | tuanducdesign/spacy-course | f8d092c5fa2997fccb3f367d174dce8667932b3d | [
"MIT"
] | null | null | null | def test():
assert (
"doc1.similarity(doc2)" in __solution__ or "doc2.similarity(doc1)" in __solution__
), "你有计算两个doc之间的相似度吗？"
assert (
0 <= float(similarity) <= 1
), "相似度分数是一个浮点数。你确定你计算正确了吗？"
__msg__.good("棒棒哒！")
| 27.777778 | 90 | 0.612 |
07ed2f164464d0ace36548fb4bd47260d456faeb | 225 | py | Python | Programming Languages/Python/Theory/100_Python_Challenges/Section_7_Datetime_Module/85. number of days between two given dates.py | jaswinder9051998/Resources | fd468af37bf24ca57555d153ee64693c018e822e | [
"MIT"
] | 101 | 2021-12-20T11:57:11.000Z | 2022-03-23T09:49:13.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_7_Datetime_Module/85. number of days between two given dates.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 4 | 2022-01-12T11:55:56.000Z | 2022-02-12T04:53:33.000Z | Programming Languages/Python/Theory/100_Python_Challenges/Section_7_Datetime_Module/85. number of days between two given dates.py | Sid-1164/Resources | 3987dcaeddc8825f9bc79609ff26094282b8ece1 | [
"MIT"
] | 38 | 2022-01-12T11:56:16.000Z | 2022-03-23T10:07:52.000Z | """
Write a function that calculates the number of days between two given dates.
Input Data:
Date1 = 2011-1-1
Date2 = 2021-1-1'
"""
import datetime
def date_diff(Date1, Date2):
delta = Date2 - Date1
return (delta) | 16.071429 | 76 | 0.693333 |
ed10cca5481e57a735298c518e21319ede230312 | 511 | py | Python | hola_hercy.py | Hercita/POO | 879d1e5462619579a5aec710bf3bc3ec6232de72 | [
"CC0-1.0"
] | null | null | null | hola_hercy.py | Hercita/POO | 879d1e5462619579a5aec710bf3bc3ec6232de72 | [
"CC0-1.0"
] | null | null | null | hola_hercy.py | Hercita/POO | 879d1e5462619579a5aec710bf3bc3ec6232de72 | [
"CC0-1.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Escribir SCRIPT que pregunte el nombre del usuario en la consola y un numero entero e imprima
por pantalla en lineas distintas el nombre del usuario tantas veces como el numero
"""
name = input("¿Como te llamas? ") # input campo de entrada de datos, en python no se pone el punto y com... | 46.454545 | 110 | 0.694716 |
b9bf59b2a3598e683d8a7c3d04f091a528408841 | 1,215 | py | Python | Models/classTemplateTF/util/model_builder.py | guillaumedescoteauxisabelle/compai | b1f4c0c7c1995233461dd3a3a73c6f6bafbf98f2 | [
"Apache-2.0"
] | null | null | null | Models/classTemplateTF/util/model_builder.py | guillaumedescoteauxisabelle/compai | b1f4c0c7c1995233461dd3a3a73c6f6bafbf98f2 | [
"Apache-2.0"
] | null | null | null | Models/classTemplateTF/util/model_builder.py | guillaumedescoteauxisabelle/compai | b1f4c0c7c1995233461dd3a3a73c6f6bafbf98f2 | [
"Apache-2.0"
] | 1 | 2020-01-07T17:57:57.000Z | 2020-01-07T17:57:57.000Z | import tensorflow as tf
import tensorflow.keras
from tensorflow.keras.applications import MobileNet
def mobilenet_transfer(class_number):
"""Return a classification model with a mobilenet backbone pretrained on ImageNet
# Arguments:
class_number: Number of classes / labels to detect
"""
# ... | 37.96875 | 104 | 0.702881 |
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