blob_id stringlengths 40 40 | directory_id stringlengths 40 40 | path stringlengths 3 616 | content_id stringlengths 40 40 | detected_licenses listlengths 0 112 | license_type stringclasses 2
values | repo_name stringlengths 5 115 | snapshot_id stringlengths 40 40 | revision_id stringlengths 40 40 | branch_name stringclasses 777
values | visit_date timestamp[us]date 2015-08-06 10:31:46 2023-09-06 10:44:38 | revision_date timestamp[us]date 1970-01-01 02:38:32 2037-05-03 13:00:00 | committer_date timestamp[us]date 1970-01-01 02:38:32 2023-09-06 01:08:06 | github_id int64 4.92k 681M ⌀ | star_events_count int64 0 209k | fork_events_count int64 0 110k | gha_license_id stringclasses 22
values | gha_event_created_at timestamp[us]date 2012-06-04 01:52:49 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[us]date 2008-05-22 07:58:19 2023-08-21 12:35:19 ⌀ | gha_language stringclasses 149
values | src_encoding stringclasses 26
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 3 10.2M | extension stringclasses 188
values | content stringlengths 3 10.2M | authors listlengths 1 1 | author_id stringlengths 1 132 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fab358d099bd2c5b476bec041753e306ae2eed79 | 72d7ab267f044c52979a93b7409a83dcdc0e3e35 | /other/ML/3D Hist-KNN.py | a6722be9da482840eef7fe6bad13d8d461f799d0 | [
"Apache-2.0"
] | permissive | tpsatish95/image-captioning | f8118d7a5e297fdb25b4607848b35d255a7e5bff | 5270e17b89b4b3d4f102a3e507f16a6abf9afaf8 | refs/heads/master | 2020-06-22T01:29:14.456909 | 2017-10-12T14:25:13 | 2017-10-12T14:25:13 | 74,763,401 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,250 | py | import os
"""import numpy as np
from scipy.misc import imread, imsave, imresize"""
from PIL import Image
import cv2
import pickle
import numpy as np
from sklearn.cross_validation import train_test_split
import sys
from time import time
from sklearn.feature_selection import SelectKBest, chi2
from sklearn.neighbors imp... | [
"tpsatish95@gmail.com"
] | tpsatish95@gmail.com |
ceae57020d4ad47be2ca699f301689b8e07be026 | 8bbb2cd199a76de35e383b09702d690a4dea1d9a | /ml/m32_outliers.py | c8c4e2dca877f7934cf57d90a7c31fb102233f20 | [] | no_license | wowodo/bit_seoul | 008c482b6c0fd8681ad219a7d70c3e752939f156 | 31363c2558738bb3fb88a06e5d5167a1a32fc2ba | refs/heads/main | 2023-02-01T10:26:06.846242 | 2020-12-18T07:39:34 | 2020-12-18T07:39:34 | 311,280,541 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 695 | py | import numpy as np
def outliers(data_out):
quartile_1, quartile_3 = np.percentile(data_out, [25, 75])
print("1사분위 : ", quartile_1) #3.25
print("3사분위 : ", quartile_3) # 97.25
iqr = quartile_3 = quartile_1 #94.25
lower_bound = quartile_1 = (iqr * 1.5)
upper_bound = quartile_3 + (iqr * 1... | [
"noreply@github.com"
] | wowodo.noreply@github.com |
52b15bc0b4f962cb1db4711bd8fe12146c143395 | 8e69eee9b474587925e22413717eb82e4b024360 | /v1.0.0.test/toontown/friends/FriendsListPanel.py | 165b674ba5e241e78394edd5f059bef9a02ff463 | [
"MIT"
] | permissive | TTOFFLINE-LEAK/ttoffline | afaef613c36dc3b70514ccee7030ba73c3b5045b | bb0e91704a755d34983e94288d50288e46b68380 | refs/heads/master | 2020-06-12T15:41:59.411795 | 2020-04-17T08:22:55 | 2020-04-17T08:22:55 | 194,348,185 | 5 | 4 | null | null | null | null | UTF-8 | Python | false | false | 33,225 | py | from panda3d.core import *
from direct.gui.DirectGui import *
from direct.fsm import StateData
from toontown.toon import ToonAvatarPanel
from toontown.friends import ToontownFriendSecret
from toontown.toonbase import ToontownGlobals
from toontown.toonbase import TTLocalizer
from otp.otpbase import OTPGlobals
FLPPets = ... | [
"s0mberdemise@protonmail.com"
] | s0mberdemise@protonmail.com |
e064521ebf15dac52a16e0d2873944a8ebf1b519 | cae1a61c2eb6701762320b3d5163d6621e02eb46 | /248 Page Improved Dijkstra.py | 44aa8879b18a98860a599c12c04e2fce4bf1750d | [] | no_license | LeeWoojin-99/Algorithm | b8f08756120378ced1e3214f0647037ae21decc9 | 680994a761042ed9a307fcad727dc5d1807ef832 | refs/heads/main | 2023-07-10T06:47:30.089557 | 2021-08-13T14:48:07 | 2021-08-13T14:48:07 | 342,619,904 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,903 | py | '''
248 Page
개선된 다익스트라 알고리즘
improved dijkstra algorithm
'''
import heapq
import sys
input = sys.stdin.readline
INF = int(1e9)
n, m = map(int, input().split())
#n : 노드의 개수, m : 간선의 개수
#print(n, m) #test
start = int(input()) #시작 노드 번호 입력
graph = [[] for i in range(n+1)]
#노드의 번호를 인덱스로 하여 바로 리스트에 접근할 수 있도록 하기 위한 n+1
#각 노드... | [
"lwj1316@naver.com"
] | lwj1316@naver.com |
ad170245afb2a35dafb0b8dc99269eb1db743c5d | 909c6f4c28e2a84d4524c57b237460b999b2c2f4 | /labuladong/二叉树/654.最大二叉树.py | 2c3dd0960bf76f5e8c919c9ae183e4968544351c | [] | no_license | Ehco1996/leetcode | e25711bef415569aa845c2f4f0c31965fca7e392 | e0ad5e52829345dd2ce4bc578295336ca07b2662 | refs/heads/master | 2021-07-12T08:13:21.533021 | 2021-03-24T00:47:29 | 2021-03-24T00:47:29 | 99,747,114 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 940 | py | #
# @lc app=leetcode.cn id=654 lang=python3
#
# [654] 最大二叉树
#
# @lc code=start
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def constructMaximumBinaryTree(self, nums):
"""最... | [
"zh19960202@gmail.com"
] | zh19960202@gmail.com |
904dfece0f28a95dcfec99504e80253683af91e3 | e3b9aa9b17ebb55e53dbc4fa9d1f49c3a56c6488 | /thehive/komand_thehive/actions/get_cases/action.py | fc828efe207bd59de96f02390dc6d34dbdbf09ff | [
"MIT"
] | permissive | OSSSP/insightconnect-plugins | ab7c77f91c46bd66b10db9da1cd7571dfc048ab7 | 846758dab745170cf1a8c146211a8bea9592e8ff | refs/heads/master | 2023-04-06T23:57:28.449617 | 2020-03-18T01:24:28 | 2020-03-18T01:24:28 | 248,185,529 | 1 | 0 | MIT | 2023-04-04T00:12:18 | 2020-03-18T09:14:53 | null | UTF-8 | Python | false | false | 779 | py | import komand
from .schema import GetCasesInput, GetCasesOutput, Component
# Custom imports below
import requests
class GetCases(komand.Action):
def __init__(self):
super(self.__class__, self).__init__(
name='get_cases',
description=Component.DESCRIPTION,
i... | [
"jonschipp@gmail.com"
] | jonschipp@gmail.com |
2199aa65ce0c5a8f38a850d7028cc4d39db3568b | 68747ba592c252c952823ff4973c9508b7c8c5e9 | /Unittest/Codec/test_Pd0Codec.py | 194832a0fe5289dfc989abce7e3c577d0b6c7999 | [] | no_license | ricorx7/rti_python-1 | 50ce01e7acf60ad6d57c26cfe5d79ecd1fc84563 | 384edef9c14ae5296d7e123eec473b29905a8a58 | refs/heads/master | 2023-02-01T04:33:48.585793 | 2020-12-16T23:25:22 | 2020-12-16T23:25:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | import pytest
from rti_python.Codecs.Pd0Codec import Pd0Codec
def pd0_ens_event(sender, ens):
print(ens)
def test_pd0_decode():
# PD0 File Path
file_path = "C:\\RTI_Capture\\Imperal Valley_20170816_094228_0_1.2 MHz 4 beam 20 degree piston_pd0.pd0"
pd0 = Pd0Codec()
pd0.ensemble_event += pd0_ens_... | [
"rcastelo@rowetechinc.com"
] | rcastelo@rowetechinc.com |
fc948e96ff4cbfdc1fbc86c5b776741472212a58 | f416ab3adfb5c641dc84022f918df43985c19a09 | /problems/code-jam/2021/broken-clock.py | d99d10e924eca2a137dcd6f162ba5e3cef9a6d38 | [] | no_license | NicoKNL/coding-problems | a4656e8423e8c7f54be1b9015a9502864f0b13a5 | 4c8c8d5da3cdf74aefcfad4e82066c4a4beb8c06 | refs/heads/master | 2023-07-26T02:00:35.834440 | 2023-07-11T22:47:13 | 2023-07-11T22:47:13 | 160,269,601 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 521 | py | def interpret(t):
hours = 0
minutes = (t[1] - t[0]) / 12 / pow(10, 9) / 60
seconds = (t[2] - t[0]) / 720 / pow(10, 9)
nanoseconds = (seconds - int(seconds)) * pow(10, 9)
return [str(int(x)) for x in [hours, minutes, seconds, nanoseconds]]
def solve():
initial_time = [int(x) for x in input... | [
"klaassen.nico@gmail.com"
] | klaassen.nico@gmail.com |
6d6ca6dd47cddec7bd892c6a0cdb0bf544679f91 | 092dd56a1bf9357466c05d0f5aedf240cec1a27b | /pylith/faults/FaultCohesive.py | 0692eecade5eec75ed57a14986198bec4b2be735 | [
"MIT"
] | permissive | rwalkerlewis/pylith | cef02d5543e99a3e778a1c530967e6b5f1d5dcba | c5f872c6afff004a06311d36ac078133a30abd99 | refs/heads/main | 2023-08-24T18:27:30.877550 | 2023-06-21T22:03:01 | 2023-06-21T22:03:01 | 154,047,591 | 0 | 0 | MIT | 2018-10-21T20:05:59 | 2018-10-21T20:05:59 | null | UTF-8 | Python | false | false | 3,494 | py | # ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University at Buffalo
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://geodynamics.org).
#
# Copy... | [
"baagaard@usgs.gov"
] | baagaard@usgs.gov |
f5343f7fa9a73a2dcb764214c5504c84660ff86d | 8868d4ba927123ee598e18274c8594df583b7e77 | /rchitect/console.py | 9500262b8ca20181790419f3acfa42c13c557c51 | [
"MIT"
] | permissive | actuarial-tools/rchitect | 150aa60bde7e94325b49fe193647a2d5fbe1de16 | 7e56f507d5ef83e7ef54450668f2a31eb698ea5d | refs/heads/master | 2023-01-12T01:54:43.369605 | 2020-11-19T00:46:17 | 2020-11-19T00:46:17 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,495 | py | from __future__ import unicode_literals
from six import StringIO
from contextlib import contextmanager
output_buffer = StringIO()
error_buffer = StringIO()
_flushable = True
_capture_state = False
_callback = None
def reg_callback(callback):
global _callback
_callback = callback
def write_console(buf, ot... | [
"randy.cs.lai@gmail.com"
] | randy.cs.lai@gmail.com |
57902071ba2b1769980268994f10d8613b03df4e | 73a601e61a44e1bbc2d33f88e096560acb2c487b | /loginReg/models.py | 91f09c415b80cb14c32e7c704ba1b87ea8e3db3d | [] | no_license | everhartC/CAMPlanner | 946fe1a6217e321d25b4e32a3788d68df93066af | 2c7e05b98f4f2f07076ed8c39126ef2e3bce5ffe | refs/heads/main | 2023-05-07T21:42:45.822721 | 2021-05-22T19:22:22 | 2021-05-22T19:22:22 | 369,889,235 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,544 | py | from django.db import models
import re
import bcrypt
# Create your models here.
class UserManager(models.Manager):
def validator(self, postData):
errors = {}
# Checks to see that First and Last name are greater than 2 characters
if len(postData['fname']) < 2:
errors['fname'] = "... | [
"cameron.r.everhart@gmail.com"
] | cameron.r.everhart@gmail.com |
e478b553f8b9ebc1cf0d77118223036888d96065 | ea7d2090ba1d66fc5bf91b255742ae07e1f74c3d | /exploit_education/phoenix/challs/stack-four.py | 6b9053e6e641e74eac112b69fa95c828edb76ea4 | [] | no_license | arty-hlr/CTF-writeups | 1a3e29b9a3c3b80e33df0c9489cacd6ec09e46fe | 64bcda1d1d8893c2ece308f82348755a2c62ca9e | refs/heads/master | 2022-08-04T20:26:07.428393 | 2022-07-30T11:11:34 | 2022-07-30T11:11:34 | 167,851,059 | 4 | 3 | null | 2022-07-30T10:55:11 | 2019-01-27T19:47:03 | Python | UTF-8 | Python | false | false | 1,357 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from pwn import *
exe = context.binary = ELF('stack-four')
host = args.HOST or 'localhost'
port = int(args.PORT or 2222)
user = args.USER or 'user'
password = args.PASSWORD or 'user'
remote_path = '/opt/phoenix/amd64/stack-four'
# Connect to the remote SSH server
shell =... | [
"flrn.pjd@protonmail.com"
] | flrn.pjd@protonmail.com |
7849235e2487a8f05535a93f0ea27299b67c2e9c | 6b14d9a64a578239e5612e6098320b61b45c08d9 | /AUG09/11.py | 1f5f32a3c1e011f0558184c467e9c3981b20cc84 | [
"MIT"
] | permissive | Razdeep/PythonSnippets | 498c403140fec33ee2f0dd84801738f1256ee9dd | 76f9313894f511c487a99bc38bdf0fe5e594caf5 | refs/heads/master | 2020-03-26T08:56:23.067022 | 2018-11-26T05:36:36 | 2018-11-26T05:36:36 | 144,726,845 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 263 | py | # PASSWORD CHECKING WITH A WHILE LOOP
i=0
while(True):
password=input('Enter password ')
if(i>=2):
print('Access denied')
break
i=i+1
if(password=="password"):
print('Login successful')
break
print('Try again')
| [
"rrajdeeproychowdhury@gmail.com"
] | rrajdeeproychowdhury@gmail.com |
e4a1f4d6cad34255babf94db820ec8408c261cbc | ccf0d01f6f4096c382d2c0a527087e8aa87f21d7 | /script/gen_cub_segmentations.py | 4ad7e87e03c0716fffcb4114ec64f54d9fee5c12 | [] | no_license | jayelm/nldissect-fork | 3393931310ac737f169ac3eea2b83531e543742b | 691997fffb1c7b9c50b9a75ff6be0cf8fe0ab133 | refs/heads/master | 2022-04-16T19:24:03.019185 | 2020-04-03T06:01:38 | 2020-04-03T06:01:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,539 | py | """
For each class, load images and save as numpy arrays.
"""
import numpy as np
import os
from PIL import Image
from tqdm import tqdm
import pandas as pd
import multiprocessing as mp
from scipy.spatial import KDTree
PARTS = [
"back",
"beak",
"belly",
"breast",
"crown",
"forehead",
"left ... | [
"6245103+jayelm@users.noreply.github.com"
] | 6245103+jayelm@users.noreply.github.com |
2febfb0e81caa3376b1bd0906feceebcc9cb5c01 | 3c000380cbb7e8deb6abf9c6f3e29e8e89784830 | /venv/Lib/site-packages/cobra/modelimpl/fc/rtfcfabricpol.py | 1029b75135bc3b6a408f8aecf7c772545ad1410f | [] | no_license | bkhoward/aciDOM | 91b0406f00da7aac413a81c8db2129b4bfc5497b | f2674456ecb19cf7299ef0c5a0887560b8b315d0 | refs/heads/master | 2023-03-27T23:37:02.836904 | 2021-03-26T22:07:54 | 2021-03-26T22:07:54 | 351,855,399 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,683 | py | # coding=UTF-8
# **********************************************************************
# Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved
# written by zen warriors, do not modify!
# **********************************************************************
from cobra.mit.meta import ClassMeta
from cobra.m... | [
"bkhoward@live.com"
] | bkhoward@live.com |
db1d231501c5860e2521a7ccf6e1d4aee374b1c6 | 284f4775828d155fd289697f5da52cf138e8c937 | /arc081/a.py | c603a03b77485dc183e19a236d20b19c4cb2824f | [] | no_license | aikiyy/AtCoder | f006d9eec4bea0c265b700259fa4a43790f92df0 | e4208bcc708c301b088d01528294fe013a475f21 | refs/heads/master | 2020-06-29T16:57:29.692986 | 2020-01-20T04:53:08 | 2020-01-20T04:53:08 | 200,572,345 | 0 | 0 | null | 2020-01-19T15:36:57 | 2019-08-05T03:00:55 | Python | UTF-8 | Python | false | false | 271 | py | from collections import Counter
N = int(input())
A = Counter(list(map(int, input().split())))
ans = [0, 0]
for k in sorted(A.keys(), reverse=True):
if A[k] >= 2:
ans.append(k)
if A[k] >= 4:
ans.append(k)
ans = sorted(ans)
print(ans[-1]*ans[-2])
| [
"aiki.yougai@gmail.com"
] | aiki.yougai@gmail.com |
814ec1b6f291e322a95b5b0b194ad1bc0acf4622 | 7ce3442d2cf17e0a61544eb85c64213a084e36f1 | /web/__version__.py | 3792b80455b888e048436ff390de8387031fe62b | [
"MIT"
] | permissive | klookAppTest/atxserver2 | e8eaf6fec0755ddb9fe8b0f93302d9fa7a565fd7 | e798a3849faccfd22693544b9d77d74582ea9817 | refs/heads/master | 2020-09-07T19:22:13.432099 | 2020-01-03T08:32:50 | 2020-01-03T08:32:50 | 220,890,036 | 4 | 0 | MIT | 2019-11-11T03:02:50 | 2019-11-11T03:02:50 | null | UTF-8 | Python | false | false | 155 | py | # ....
__version__ = "x.x.x??"
__title__ = "atxserver2"
__url__ = "https://github.com/openatx/atxserver2"
__author__ = "codeskyblue"
__license__ = "MIT"
| [
"codeskyblue@gmail.com"
] | codeskyblue@gmail.com |
346acb9d223f0a18da6105e9846ddbf4f970a15e | 55f4b7ae0cb97a71fe06e3231bd9f48e5383aa39 | /exe10.py | 006e9d902e46ae22de5c144ee074addf945dbb1b | [] | no_license | andreplacet/reiforcement-python-tasks-2 | fc26d760a3307005d177c27e4e4fe60974b9009c | 8aab66cd4e8396e3a603d2d96056bf755399a9aa | refs/heads/master | 2022-12-25T12:31:09.457195 | 2020-10-14T23:32:57 | 2020-10-14T23:32:57 | 304,159,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 295 | py | # Exercicio 10
horario = str(input('Qual periodo voce estuda?\n[V] - Vespertino\n[O] - Diurno\n[N] - Nohorario\n --> ')).upper()
if horario == 'V':
print("Boa Tarde")
elif horario == 'D':
print("Bom dia")
elif horario == 'N':
print("Boav Noite")
else:
print("Entrada invalida") | [
"andreplacet@gmail.com"
] | andreplacet@gmail.com |
afa5a875ab111a6a1c3cd95e10f3230b6e50e222 | 48e124e97cc776feb0ad6d17b9ef1dfa24e2e474 | /sdk/python/pulumi_azure_native/mixedreality/v20200406preview/list_remote_rendering_account_keys.py | 1f6c8edbbb41b6219760781133787dbef4040360 | [
"BSD-3-Clause",
"Apache-2.0"
] | permissive | bpkgoud/pulumi-azure-native | 0817502630062efbc35134410c4a784b61a4736d | a3215fe1b87fba69294f248017b1591767c2b96c | refs/heads/master | 2023-08-29T22:39:49.984212 | 2021-11-15T12:43:41 | 2021-11-15T12:43:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,477 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
__... | [
"noreply@github.com"
] | bpkgoud.noreply@github.com |
1511a1c611073d67ba73c243b6089d5be1feedf9 | 2a54e8d6ed124c64abb9e075cc5524bb859ba0fa | /.history/1-Python-Basics/7-augmented-assignment-operator_20200412204641.py | 6af40cec87a88e42120700aff22015f1356b3493 | [] | no_license | CaptainStorm21/Python-Foundation | 01b5fbaf7a913506518cf22e0339dd948e65cea1 | a385adeda74f43dd7fb2d99d326b0be23db25024 | refs/heads/master | 2021-05-23T01:29:18.885239 | 2020-04-23T19:18:06 | 2020-04-23T19:18:06 | 253,171,611 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 64 | py |
some_value = 10
some_value = some_value + 2
print(some_value)
| [
"tikana4@yahoo.com"
] | tikana4@yahoo.com |
d59b2b65d8afa4a322997d623693651a14c9bea1 | 3a9f2b3d79cf214704829427ee280f4b49dca70a | /saigon/rat/RuckusAutoTest/tests/zd/CB_ZD_Create_WireStation.py | cb64d47b8bb2faaddb800f4b004b34e29a09e35b | [] | no_license | jichunwei/MyGitHub-1 | ae0c1461fe0a337ef459da7c0d24d4cf8d4a4791 | f826fc89a030c6c4e08052d2d43af0b1b4b410e3 | refs/heads/master | 2021-01-21T10:19:22.900905 | 2016-08-20T03:34:52 | 2016-08-20T03:34:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,896 | py | '''
Description:
Prerequisite (Assumptions about the state of the testbed/DUT):
1. Build under test is loaded on the AP and Zone Director
Required components: 'ZoneDirector', 'RuckusAP'
Test parameters:
Result type: PASS/FAIL
Results: PASS:
FAIL:
Messages: If FAIL the test script ... | [
"tan@xx.com"
] | tan@xx.com |
ea623ae1f90a2404bf784f56678702227b1f0e4b | babf1c585aeba48335fa73b6eaa85149308fa72d | /datadrivendota/items/migrations/0001_initial.py | 20c42da9f1457da303b1f94c1b3c592f2a2a34fe | [] | no_license | bwarren2/datadrivendota | 2656e1fd12870b6a342382a017203da9065af9a9 | dae6767974e2c218148181e31d01cf6d9f107a9a | refs/heads/master | 2021-06-17T09:48:55.111584 | 2017-05-22T20:05:33 | 2017-05-22T20:05:33 | 10,062,282 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,231 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Item',
fields=[
('id', models.AutoField(verbose... | [
"bwarren2@gmail.com"
] | bwarren2@gmail.com |
37f1829756c9e1c984da334dd55dbfaaeb1d0f86 | e0819e32cec26ead2a2942a021929f087e4faea5 | /localizacoes/models.py | ca7af90a3843840e3e6b41c76575fcf41e9c9ffe | [] | no_license | lssdeveloper/django-20-restful | a57857bd25af5912a18ca06480eca3c2d8fc6560 | 4a0f8085dab4daf0a0ce01463a4a464bb71ac6a0 | refs/heads/master | 2020-03-19T01:58:54.378912 | 2018-06-07T15:30:27 | 2018-06-07T15:30:27 | 135,588,037 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 478 | py | from django.db import models
class Localizacao(models.Model):
linha1 = models.CharField(max_length=150)
linha2 = models.CharField(max_length=150)
cidade = models.CharField(max_length=100)
estado = models.CharField(max_length=50)
pais = models.CharField(max_length=70)
latitude = models.IntegerFi... | [
"leandro.serra.10@gmail.com"
] | leandro.serra.10@gmail.com |
683597ac02ab4cdc9ee70024aaf0860e470cfd33 | e10b8d0229e9603a295f6d5b9acb3c4df33979db | /导入当日数据.py | e2706e248b098c55568860da3939d5cb21d074f0 | [] | no_license | kflyddn/tushare_env | 740d394eef5bd8a79be3693406507c8c86b69f12 | a40b7f513d94727dc8a7acedbe8b9e6dee97e68b | refs/heads/master | 2020-05-07T15:16:25.246110 | 2019-01-09T16:12:08 | 2019-01-09T16:12:08 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,639 | py | # -*- coding: utf-8 -*-
__author__ = 'SlovEnt'
__date__ = '2018/11/4 22:38'
from collections import OrderedDict
import os
import re
import time
import tushare as ts
from multiprocessing import Pool
import traceback
from chpackage.param_info import get_param_info
from chpackage import torndb
from exec_class import Tu... | [
"slovent@163.com"
] | slovent@163.com |
4159de8c9a69adb72e6fb2939d23b747fdc35013 | 721406d87f5086cfa0ab8335a936ece839ab2451 | /.venv/lib/python3.8/site-packages/azure/functions/kafka.py | de5ba8c684a8934c984f3d27216f47a1f25d237f | [
"MIT"
] | permissive | MarkusMeyer13/graph-teams-presence | 661296b763fe9e204fe1e057e8bd6ff215ab3936 | c302b79248f31623a1b209e098afc4f85d96228d | refs/heads/main | 2023-07-09T03:34:57.344692 | 2021-07-29T07:16:45 | 2021-07-29T07:16:45 | 389,268,821 | 0 | 0 | MIT | 2021-07-29T07:16:46 | 2021-07-25T05:23:08 | Python | UTF-8 | Python | false | false | 9,531 | py | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import typing
import json
from typing import Any, List
from . import meta
from ._kafka import AbstractKafkaEvent
class KafkaEvent(AbstractKafkaEvent):
"""A concrete implementation of Kafka event message... | [
"meyer_markus@gmx.de"
] | meyer_markus@gmx.de |
28a2527fba5989fcd30a0b78b7fa13edf0e75830 | dcc25b784213b17015d2080a7623c772d474dc22 | /reproduce/AlphaFold2-Chinese/tests/st/mindelec/networks/test_parameterization/src/dataset.py | 00f41cd06a8d796728fe36a1c882ba6f01e68137 | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | permissive | mindspore-ai/community | 930c9d9fdbead852e3597d522a72fe5b66bfc005 | c72ce898482419117550ad16d93b38298f4306a1 | refs/heads/master | 2023-07-19T19:43:20.785198 | 2023-07-17T06:51:22 | 2023-07-17T06:51:22 | 250,693,100 | 193 | 10 | Apache-2.0 | 2022-10-29T10:01:40 | 2020-03-28T02:00:02 | Python | UTF-8 | Python | false | false | 4,623 | py | # 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... | [
"deanyuton@gmail.com"
] | deanyuton@gmail.com |
3dff36d639e98443cf21891db08157963500201f | 92065e3b378edc8e0570e4295aca0968de3c852d | /rosalind_rvco.py | 8a8390d54b926fb9ba04fb3749c83db7fcf4e109 | [] | no_license | sunhuaiyu/rosalind | 18dc9fa78aaa84b478b112089a3b94d0f442b1bb | 7181cc9215d3ea0b5ad9d0811c00e01fd9f20b1c | refs/heads/master | 2020-04-04T17:53:17.437595 | 2019-04-11T17:03:52 | 2019-04-11T17:03:52 | 25,007,403 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 305 | py | # rosalind_rvco
from Bio import SeqIO
def revc(s):
pairs = { 'A':'T', 'T':'A', 'G':'C', 'C':'G'}
return ''.join(list(map(lambda n: pairs[n], s))[::-1])
seq = [str(i.seq) for i in SeqIO.parse(open('rosalind_rvco.txt'), 'fasta')]
n = 0
for s in seq:
if s == revc(s):
n += 1
print(n)
| [
"noreply@github.com"
] | sunhuaiyu.noreply@github.com |
58460f3f8dd9572b06698205c8db055ccb73e52b | 8dde6f201657946ad0cfeacab41831f681e6bc6f | /687. Longest Univalue Path.py | a89b573c15a02de816f71d2da43cbaee7ad2581d | [] | no_license | peraktong/LEETCODE_Jason | c5d4a524ba69b1b089f18ce4a53dc8f50ccbb88c | 06961cc468211b9692cd7a889ee38d1cd4e1d11e | refs/heads/master | 2022-04-12T11:34:38.738731 | 2020-04-07T21:17:04 | 2020-04-07T21:17:04 | 219,398,022 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 965 | py | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def longestUnivaluePath(self, root):
"""
:type root: TreeNode
:rtype: int
"""
sel... | [
"caojunzhi@caojunzhisMBP3.fios-router.home"
] | caojunzhi@caojunzhisMBP3.fios-router.home |
9d88cb09890119637d362d479b1f1d117bf620d8 | f68afe06e4bbf3d523584852063e767e53441b2b | /Toontown/toontown/battle/DistributedBattleBldg.py | 4b8cbbab35481ee679d626a50f7c08b11f352f49 | [] | no_license | DankMickey/Toontown-Offline-Squirting-Flower-Modded- | eb18908e7a35a5f7fc95871814207858b94e2600 | 384754c6d97950468bb62ddd8961c564097673a9 | refs/heads/master | 2021-01-19T17:53:36.591832 | 2017-01-15T02:00:04 | 2017-01-15T02:00:04 | 34,639,744 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 8,396 | py | import random
from BattleBase import *
import DistributedBattleBase
import MovieUtil
import SuitBattleGlobals
from direct.actor import Actor
from direct.directnotify import DirectNotifyGlobal
from direct.fsm import State
from direct.interval.IntervalGlobal import *
from otp.avatar import Emote
from otp.nametag import ... | [
"jareddarty96@gmail.com"
] | jareddarty96@gmail.com |
54af1f8d18e7e762f8093d4a4031021048cd1941 | c0ef6bcdcf50f359d80d9fae5b5fd6a6dfe3d2cc | /class_creation.py | 9eb612eb1bdc81fdd9407aef4618b5ae318f2319 | [] | no_license | sbhusal123/Python-Data-Structures | f4e63323c70b92de44efb69aff9f5e6ddb9d9a96 | 0c10d2457f62eafbad0e8e62d5db89f448696123 | refs/heads/master | 2020-07-30T15:29:33.678565 | 2020-07-15T07:01:59 | 2020-07-15T07:01:59 | 210,276,899 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 213 | py | class Employee:
def __init__(self,name,position):
self.name= name
self.position = position
@classmethod
def getName():
return "Hello this is me"
e = Employee()
e.getName()
| [
"="
] | = |
2a548f9fe54b1d29a8006526969089eef81ac61e | 57ddfddd1e11db649536a8ed6e19bf5312d82d71 | /AtCoder/ABC1/ABC146/ABC146E.py | dda141dd17e6d38f2d0f3547503d1bc45e77ad33 | [] | no_license | pgDora56/ProgrammingContest | f9e7f4bb77714dc5088c2287e641c0aa760d0f04 | fdf1ac5d1ad655c73208d98712110a3896b1683d | refs/heads/master | 2023-08-11T12:10:40.750151 | 2021-09-23T11:13:27 | 2021-09-23T11:13:27 | 139,927,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 422 | py | # TLE
n, k = map(int, input().split())
a = list(map(int,input().split()))
su = [0]
cnt = 0
def check():
global k, su, cnt
l = len(su) - 1 - k
if l < 0: l = 0
for i in range(l, len(su)-1):
if (su[len(su)-1] - su[i]) % k == len(su) - 1 - i:
cnt += 1
for i in a:
su.a... | [
"doradora.prog@gmail.com"
] | doradora.prog@gmail.com |
ab7b4010754b17be6275e8af10851215ed79182f | ba8f5d23d9878a25b30a32cf16e8833f93b25853 | /source_py2/python_toolbox/persistent/persistent.py | 5ba6c599c3a8f65f3fa354a664f961cbf2e0f9f8 | [
"MIT"
] | permissive | nastako/python_toolbox | af520cbec1468c8e0aae0b3b1c467ca5623af45b | 9713fd728608818630ee409ac6a6fdaf863af31b | refs/heads/master | 2020-12-11T09:07:19.681161 | 2015-01-16T21:26:37 | 2015-01-16T21:26:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,071 | py | # Copyright 2009-2015 Ram Rachum.
# This program is distributed under the MIT license.
'''
This module defines the `Persistent` class.
See its documentation for more information.
Note: This module is still experimental
todo: need to raise an exception if we're getting pickled with
an old protocol?
todo: make it ... | [
"ram@rachum.com"
] | ram@rachum.com |
17f6f00ef83734b75807829958310e17d8ff8a45 | a2c90d183ac66f39401cd8ece5207c492c811158 | /Solving_Problem/daily_222/1115/swea_최소 이동거리.py | 0070cbbcaf53157bbaf9945d0140cacd897346e8 | [] | no_license | kwoneyng/TIL | 0498cfc4dbebbb1f2c193cb7c9459aab7ebad02a | c6fbaa609b2e805f298b17b1f9504fd12cb63e8a | refs/heads/master | 2020-06-17T11:53:38.685202 | 2020-03-18T01:29:36 | 2020-03-18T01:29:36 | 195,916,103 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 574 | py | from heapq import heappush, heappopfor t in range(1, int(input())+1):
n,su = map(int,input().split())
nxt_ls = [[] for i in range(su)]
for i in range(su):
s,e,w = map(int,input().split())
heappush(nxt_ls[s], [w,e])
q = []
q.append([0,0])
dist = [9999999999999999999999999999999]*s... | [
"nan308@naver.com"
] | nan308@naver.com |
2c9b844d798afba5ee297c2c797fb9f7037434dc | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02891/s504739910.py | c916543d98c1b91669ff587ac949029b62e33c33 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 566 | py | S = input()
K = int(input())
curr = S[0]
tmp = ""
T = []
for s in S:
if s == curr:
tmp += s
else:
T.append(tmp)
curr = s
tmp = s
T.append(tmp)
if len(T) == 1:
res = (len(S) * K) // 2
print(res)
exit(0)
res = 0
t_first = T[0]
t_last = T[-1]
if t_first[0] != t_last[... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
0bb6991a43d07a3230c07b302a436bd2730ec30e | 68fc6458f39ac43f027e4101c658a135327e6778 | /wx/lib/infoframe.py | 3250ce6ea4feb7466faa00aa1bbe3f009f801274 | [] | no_license | JDOUBLE-U/proteogenomics-mycobacterium | d7827f8db2d802858df21bf1e0eafade037eb929 | 6979ebb02b8ce6c94a82d148b060b557f9d4b9c4 | refs/heads/master | 2021-01-19T22:13:48.688024 | 2015-06-26T14:46:38 | 2015-06-26T14:46:38 | 32,217,558 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,224 | py | # 12/20/2003 - Jeff Grimmett (grimmtooth@softhome.net)
#
# o wxPyInformationalMessagesFrame -> PyInformationalMessagesFrame
# o dummy_wxPyInformationalMessagesFrame -> dummy_PyInformationalMessagesFrame
#
"""
infoframe.py
Released under wxWindows license etc.
This is a fairly rudimentary, but slightly fancier tha
wxP... | [
"merks.jeroen@gmail.com"
] | merks.jeroen@gmail.com |
dd538f842778120f55b13c7d3cd9f046cdf10cdf | 64fe4fcaeb71b5e4d448abed92e03bebd838b1a2 | /Models/Utils.py | 036a76c46a7cd85427bf52d366a5e26b0e40ed14 | [] | no_license | Caster89/Scattering_Analysis | ea2ddbd9311f0beebae6f083a37d843f44d3d00b | 2bd14efb2d1bb6c1af5173a8ed98b668dbfc4673 | refs/heads/master | 2021-01-19T16:04:41.322316 | 2017-12-17T16:22:46 | 2017-12-17T16:22:46 | 88,247,591 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,405 | py | from lmfit import Parameter, Parameters
import numpy as np
import logging
from config import _lmfitParamsOrder
logger = logging.getLogger(__name__)
def create_parameters(parameter_list):
"""Create the parameters variable for the lmfit models to use. The information needed is passed as a dictionary
(possible O... | [
"="
] | = |
af63362b7399719c268813b02354737a7571da6d | 5e84763c16bd6e6ef06cf7a129bb4bd29dd61ec5 | /blimgui/dist/OpenGL/GL/NV/texture_expand_normal.py | 64ac087029cece7005d6942b092e7232ba054100 | [
"MIT"
] | permissive | juso40/bl2sdk_Mods | 8422a37ca9c2c2bbf231a2399cbcb84379b7e848 | 29f79c41cfb49ea5b1dd1bec559795727e868558 | refs/heads/master | 2023-08-15T02:28:38.142874 | 2023-07-22T21:48:01 | 2023-07-22T21:48:01 | 188,486,371 | 42 | 110 | MIT | 2022-11-20T09:47:56 | 2019-05-24T20:55:10 | Python | UTF-8 | Python | false | false | 1,288 | py | '''OpenGL extension NV.texture_expand_normal
This module customises the behaviour of the
OpenGL.raw.GL.NV.texture_expand_normal to provide a more
Python-friendly API
Overview (from the spec)
This extension provides a remapping mode where unsigned texture
components (in the range [0,1]) can be treated as though ... | [
"justin.sostmann@googlemail.com"
] | justin.sostmann@googlemail.com |
d4f7536fbd947124828af090632b7237506b6c25 | a46d135ba8fd7bd40f0b7d7a96c72be446025719 | /packages/python/plotly/plotly/validators/layout/yaxis/_showticklabels.py | 3a2806d4c0b55270d425f50cb460632dec34b8a9 | [
"MIT"
] | permissive | hugovk/plotly.py | 5e763fe96f225d964c4fcd1dea79dbefa50b4692 | cfad7862594b35965c0e000813bd7805e8494a5b | refs/heads/master | 2022-05-10T12:17:38.797994 | 2021-12-21T03:49:19 | 2021-12-21T03:49:19 | 234,146,634 | 0 | 0 | MIT | 2020-01-15T18:33:43 | 2020-01-15T18:33:41 | null | UTF-8 | Python | false | false | 438 | py | import _plotly_utils.basevalidators
class ShowticklabelsValidator(_plotly_utils.basevalidators.BooleanValidator):
def __init__(
self, plotly_name="showticklabels", parent_name="layout.yaxis", **kwargs
):
super(ShowticklabelsValidator, self).__init__(
plotly_name=plotly_name,
... | [
"noreply@github.com"
] | hugovk.noreply@github.com |
957e981d9fcdc89eb3e57f832318a86978dd6f47 | 6fa701cdaa0d83caa0d3cbffe39b40e54bf3d386 | /google/ads/googleads/v8/googleads-py/google/ads/googleads/v8/resources/types/merchant_center_link.py | 58bcebbee8f43a5c768f0092eaa4b404409a89db | [
"Apache-2.0"
] | permissive | oltoco/googleapis-gen | bf40cfad61b4217aca07068bd4922a86e3bbd2d5 | 00ca50bdde80906d6f62314ef4f7630b8cdb6e15 | refs/heads/master | 2023-07-17T22:11:47.848185 | 2021-08-29T20:39:47 | 2021-08-29T20:39:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,221 | py | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
"bazel-bot-development[bot]@users.noreply.github.com"
] | bazel-bot-development[bot]@users.noreply.github.com |
07ab359927cc468af01c2372bb36338a7b61c280 | 330ba6024e2728ec2476ce2d9f8e6be20c60ed67 | /assignments/hw03/flagged.py | 62443f81fedf325ae0ea003fff9b87626bfbb32a | [] | no_license | foureyes/csci-ua.0479-spring2021-001 | ec008e797b569476cce7b062f2469d6dea56d670 | f7ee0f69c2e9150134f41f39676807e4f776f96e | refs/heads/main | 2023-06-27T15:44:38.192216 | 2021-08-01T17:35:55 | 2021-08-01T17:35:55 | 330,051,703 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,237 | py | """
flagged.py - 7 points
=====
Create a program that generates a pattern for a flag.
* ask the user for a width of the flag
* the width should be greater than 0
* if it isn't, ask again until the user enters a valid value
* then... ask the user for a character
* the character can be any character except e... | [
"jversoza@cs.nyu.edu"
] | jversoza@cs.nyu.edu |
dc8476ff65d986fde193dfbc48caa5381ba0aadf | ac7a258cc02677750a4a4821702659504b35fdaf | /aclark/db/migrations/0013_auto_20180623_1950.py | c10ee8e3ea45d8432aea5d284260c1d6a76320c9 | [] | no_license | aclark4life/aclark-net-2018 | 1b3529bd264d2198b15b499c41f4d4a8ad92e420 | 2ca9cc089790b4b5ba9ac1a696ecc95ce9014ff2 | refs/heads/master | 2021-08-16T18:29:51.956980 | 2018-07-28T12:55:05 | 2018-07-28T12:55:05 | 132,064,705 | 0 | 0 | null | 2021-06-10T20:16:32 | 2018-05-04T00:35:21 | HTML | UTF-8 | Python | false | false | 636 | py | # Generated by Django 2.0.6 on 2018-06-23 19:50
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('db', '0012_auto_20180620_1607'),
]
operations = [
migrations.RemoveField(
model_name='estimate',
name='estimate_type... | [
"aclark@aclark.net"
] | aclark@aclark.net |
4b6481bc2ebad304c5c615615e6100b4c5def4c9 | 9d77c2434b0e804af2ecaf4a4ea6d99f6ac6d96d | /models/research/object_detection/core/preprocessor.py | 140c62b57e7b8efaecd14fe60d1244d8f47980d5 | [
"Apache-2.0",
"MIT"
] | permissive | UpCoder/ISBI_LiverLesionDetection | cce7c118601548eef8bfeeedfe4f50d88411a7df | e21ce360e55092a16acc4d147a1418a53545d562 | refs/heads/master | 2022-12-12T12:57:50.299718 | 2019-04-03T03:49:43 | 2019-04-03T03:49:43 | 179,206,267 | 8 | 1 | MIT | 2022-12-08T16:02:31 | 2019-04-03T03:49:00 | Python | UTF-8 | Python | false | false | 132,755 | py | # Copyright 2017 The TensorFlow 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 applica... | [
"546043882@qq.com"
] | 546043882@qq.com |
8fc94208bf996ee7f4c508d44ea42f3dcb3f7b5c | b61dedf12868e2bc511b6693af1985911a13f336 | /src/logpipe/tests/unit/kafka/test_consumer.py | be5a6205e84c45084887dc909eb267d9e8246a97 | [
"ISC"
] | permissive | vitorcarmovieira/django-logpipe | f9eebb6674b9ba180a63448c9d71ce2e87929f7c | 89d0543e341518f9ae49124c354e6a6c2e3f4150 | refs/heads/main | 2023-03-03T13:18:22.456270 | 2021-02-13T17:29:32 | 2021-02-13T17:29:32 | 326,679,534 | 1 | 1 | ISC | 2021-02-13T17:29:32 | 2021-01-04T12:39:30 | Python | UTF-8 | Python | false | false | 8,526 | py | from django.test import override_settings
from unittest.mock import MagicMock, patch
from kafka.consumer.fetcher import ConsumerRecord
from kafka.structs import TopicPartition
from rest_framework.exceptions import ValidationError
from logpipe import Consumer
from logpipe.exceptions import InvalidMessageError, UnknownMe... | [
"crgwbr@gmail.com"
] | crgwbr@gmail.com |
968bda4eb87abdc7982118b1dcb7fa3f5527a23a | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/118/usersdata/86/25507/submittedfiles/questao2.py | 068e51fec3ac5a5e25f01e2fe627d00a7352d9be | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | import as numpy
qf=int(input('digite o numero de quadrados:'))
fita=[]
for i in range(1,qf+1,1):
fita.append(input('digite se esta colorido:'))
cor=[]
for i in range(0,len(fita),1):
| [
"rafael.mota@ufca.edu.br"
] | rafael.mota@ufca.edu.br |
32a38b64672b0ed3e6cf9a9546ccb30c0ae241d7 | ac216a2cc36f91625e440247986ead2cd8cce350 | /recipes/recipe_modules/support_3pp/api.py | 1f4b46b9b509811b218921d9e493bbcf219ac8f6 | [
"BSD-3-Clause"
] | permissive | xinghun61/infra | b77cdc566d9a63c5d97f9e30e8d589982b1678ab | b5d4783f99461438ca9e6a477535617fadab6ba3 | refs/heads/master | 2023-01-12T21:36:49.360274 | 2019-10-01T18:09:22 | 2019-10-01T18:09:22 | 212,168,656 | 2 | 1 | BSD-3-Clause | 2023-01-07T10:18:03 | 2019-10-01T18:22:44 | Python | UTF-8 | Python | false | false | 24,986 | py | # Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Allows uniform cross-compiliation, version tracking and archival for
third-party software packages (libs+tools) for distribution via CIPD.
The purpose of... | [
"commit-bot@chromium.org"
] | commit-bot@chromium.org |
2b0ef4d5fc363e2cb90c3c8875af643043f2b40c | 7c2702d19a975b5f431cf86adbe6a75d0b0aa6fa | /closest_downstream2.py | 3295c986824e49302a03a8616417ec34bb59550c | [
"MIT"
] | permissive | brendane/miscellaneous_bioinfo_scripts | 5b2e15a8a7e7eb2b3db17de9e871c41ecea68cb3 | 91ca3282823495299e4c68aa79bdc1c0225a6d7b | refs/heads/master | 2020-03-25T00:50:30.658106 | 2020-01-13T21:04:02 | 2020-01-13T21:04:02 | 143,208,594 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,639 | py | #!/usr/bin/env python2.7
"""
Process a bed file from bedtools closest -D to get the nearest
downstream feature is within a certain distance and isn't "blocked"
by another feature.
This version ("2") anticipates an extra column in the bed file.
"""
import csv
import itertools
import sys
max_dist = int... | [
"epste051@umn.edu"
] | epste051@umn.edu |
31b55ee00a55362032585bc01c0a1adc34d3dd27 | 7b84d055c2e0f247079d7bce08dc16f9681d1f11 | /bin/eulb-describe-tags | 8eb14ae466e280dfa7b9846160eb58ebd7790f57 | [
"BSD-2-Clause"
] | permissive | eucalyptus/euca2ools | a660bbc6ef14b2ce340df7f28b55f758ca81f5d8 | 6b3f62f2cb1c54f14d3bfa5fd92dab3c0ecafecb | refs/heads/master | 2021-03-19T11:36:33.828355 | 2017-04-26T23:13:12 | 2017-04-26T23:32:47 | 1,795,596 | 38 | 22 | BSD-2-Clause | 2018-07-31T12:28:02 | 2011-05-24T20:37:14 | Python | UTF-8 | Python | false | false | 187 | #!/usr/bin/python -tt
import euca2ools.commands.elasticloadbalancing.describetags
if __name__ == '__main__':
euca2ools.commands.elasticloadbalancing.describetags.DescribeTags.run()
| [
"gholms@devzero.com"
] | gholms@devzero.com | |
0a303521e7a5ead6c430a08f075cfe59b68dd9b2 | 243545e34e6aee1aab4388719c37b4873d3866b7 | /gpkg/slim/images_prepare.py | 54e724c9c847ce2bfb9b1ea389d8f36b2c93e532 | [
"Apache-2.0"
] | permissive | guildai/packages | 08ad303fe84a7b5a5136f3bc5ac41f6902ff3c7f | 5a149d2f1adaf9e84f5aff73488ab63ee9b2f9cf | refs/heads/master | 2023-08-11T15:16:54.498525 | 2023-07-31T18:59:58 | 2023-07-31T18:59:58 | 106,281,587 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,457 | py | # Copyright 2017-2019 TensorHub, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | [
"g@rre.tt"
] | g@rre.tt |
65c34c0badfd3dcb00bf22b3cb2e54e3cc3f9a22 | 6a8406e404519cbb4b36bd1b4f57389bd3155184 | /610/610-hashMap.py | 25af459fcde82fb1caa213325a70b2f84aa16586 | [] | no_license | sjzyjc/lintcode | 6ab57105e70c5108ac2403ea14dde1151c30bd96 | 5ae51281cac99dd995f6ec584ce2c1dd1d580f8e | refs/heads/master | 2020-03-26T23:57:44.680981 | 2019-08-15T22:00:48 | 2019-08-15T22:00:48 | 145,581,676 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 628 | py | class Solution:
"""
@param nums: an array of Integer
@param target: an integer
@return: [index1 + 1, index2 + 1] (index1 < index2)
"""
def twoSum7(self, nums, target):
index_map = {}
for index,i in enumerate(nums):
if i - target in index_map:
return ... | [
"jcyang@MacBook-Air.local"
] | jcyang@MacBook-Air.local |
1d1e77afe920c7d8d50c64409e6164b9418d5f46 | 61b8c22a578534fa3e1cd81130c61191a4eeddd3 | /pydrawing/modules/beautifiers/oilpainting/oilpainting.py | 7959cdd16280948ca25a6b6cbc47967e57ecfd1a | [
"Apache-2.0"
] | permissive | CharlesPikachu/pydrawing | 15f24844ca52a17a24d3ad70406b7ce207e382d2 | e980ad9bf4cece42ff40ed2bc7bed7a155eabb8e | refs/heads/master | 2023-05-22T17:36:50.806360 | 2022-08-09T05:31:05 | 2022-08-09T05:31:05 | 194,899,961 | 148 | 7 | null | null | null | null | UTF-8 | Python | false | false | 3,768 | py | '''
Function:
照片油画化
Author:
Charles
微信公众号:
Charles的皮卡丘
'''
import cv2
import random
import numpy as np
from scipy import ndimage
from ..base import BaseBeautifier
'''照片油画化'''
class OilpaintingBeautifier(BaseBeautifier):
def __init__(self, brush_width=5, palette=0, edge_operator='sobel', **kwargs):
... | [
"1159254961@qq.com"
] | 1159254961@qq.com |
6ae6fed515b789289d2850ef275d4efaddbae469 | fc210e56f3d20947f84039a8ef07107bb11e6b5a | /.test/snippet.py | 636a094233fc063ecd32e2b7286bc7f2f460b608 | [] | no_license | ZhouYzzz/RecurrentTracking | 344b5fcb73f04a749f9822ae0b18f8de83ee6308 | 9dfaf2b383b2a0f67272ec090b2a40bb5d1adee4 | refs/heads/master | 2021-09-11T20:47:31.566421 | 2018-04-12T06:50:05 | 2018-04-12T06:50:05 | 112,092,396 | 0 | 1 | null | 2018-03-22T11:39:37 | 2017-11-26T15:07:42 | Python | UTF-8 | Python | false | false | 4,015 | py | from typing import Any, Dict, List
class Shot(object):
def __init__(self, trackid:str, frame:int, bndbox:List[int]):
self._trackid = trackid
self._frame = frame
self._bndbox = bndbox
@property
def trackid(self):
return self._trackid
@property
def frame(self):
return self._frame
@propert... | [
"zhouyz9608@gmail.com"
] | zhouyz9608@gmail.com |
2bff1434c0862fa3f89143836397cc3d2e159cfd | 2ece848b37f7fa6f13ce0e94ddfd0fbd46c72b8f | /backend/utils/config.py | 27608f720b2f01348c779e8fe7af37d58e7e3c27 | [
"Apache-2.0"
] | permissive | rockeyzhu/eastmoney | 1a2d2db18bd658abe8e65875bf863f1cfcefd545 | c8aa33a69ebee54c64f22a8edbcf30ed0f29b293 | refs/heads/master | 2023-03-06T12:20:03.896607 | 2021-02-20T07:20:53 | 2021-02-20T07:20:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 834 | py | import configparser
import platform
linux_database_config_path = '/config/database.ini'
windows_database_config_path = 'D:\\database.ini'
def get_db_config():
config = configparser.ConfigParser()
config.sections()
if 'linux' in platform.system().lower():
config.read(linux_database_config_path)
... | [
"1397991131@qq.com"
] | 1397991131@qq.com |
72671212a25b94e1c3070a45a05f84c00d782a6e | 1f629e009a7b92ef74b4e6f4cb9b05d34c0d6456 | /Python PowerPoint Examples/NotesSlidesApiDemo/addNotesSlide.py | 1528a55b1c6a357b3feb44fc8751a9d050dab819 | [] | no_license | EiceblueCloud/Spire.Cloud.PowerPoint | 6c8796f0bfd01b54cbc3a460c065e2ce689201dc | fbb00171b0ab2f9cd109fbb33f25716cc14853cf | refs/heads/master | 2022-12-09T05:39:04.046853 | 2020-08-20T07:15:48 | 2020-08-20T07:15:48 | 271,465,842 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 556 | py | import spirecloudpowerpoint
from spirecloudpowerpoint.configuration import *
appId = "your id"
appKey = "your key"
baseUrl = "https://api.e-iceblue.cn"
configuration = Configuration(appId, appKey, baseUrl)
api = spirecloudpowerpoint.api.notes_slides_api.NotesSlidesApi(configuration)
name = "AddNotesSlide.ppt... | [
"noreply@github.com"
] | EiceblueCloud.noreply@github.com |
722e0021ec1d60657be6d55d1f31ea6e0d420374 | 96086ae5e7bfa1e40159f919269a90c83e472326 | /opengever/tabbedview/tests/test_base_tabs.py | 5eb02d2da593d9f35bdde0e351865ca9d2117522 | [] | no_license | lukasgraf/opengever.core | 6fc313717fbec3692354e56c2c3293789076a389 | a15c4ff8e0d5494906d7de46a43e3427c8d2d49f | refs/heads/master | 2020-12-01T11:38:46.721555 | 2018-06-18T10:13:09 | 2018-06-18T10:13:09 | 57,871,187 | 0 | 0 | null | 2016-05-02T06:59:58 | 2016-05-02T06:59:58 | null | UTF-8 | Python | false | false | 892 | py | from opengever.testing import IntegrationTestCase
from ftw.testbrowser import browsing
from plone import api
from opengever.base.interfaces import IReferenceNumberSettings
class TestGeverTabMixin(IntegrationTestCase):
@browsing
def test_reference_number_custom_sort(self, browser):
self.login(self.reg... | [
"philippe.gross@4teamwork.ch"
] | philippe.gross@4teamwork.ch |
995cadeb1f9fefd5c98fd83b94085bb338d7a420 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03844/s486119750.py | 1f6927c797f4f3e33d18b2108135d2eb86e8f080 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 341 | py | import sys
import copy
import math
import bisect
import pprint
import bisect
from functools import reduce
from copy import deepcopy
from collections import deque
if __name__ == '__main__':
a,b, c = map(str ,input().split())
ans = 0
if b == "+":
ans = int(a)+int(c)
else:
ans = int(a)-int... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
1844b60384b3732313de790782f715bd7c739511 | 646cadb1c72ef4a060343baf2fcbe271958b6878 | /tigerjython/TJExamples/04-So/So4d_e.py | c966d8f691c52fe33cf2c1b95f2ace947f49437c | [] | no_license | tigerjython/tjinstall | bd75cf8e4ae27b639a13865ef1ec5710391a2938 | aab61519b5299c2ab4f423c6fc5d8ea7c7860a99 | refs/heads/master | 2021-01-17T08:53:50.386905 | 2018-01-12T06:56:28 | 2018-01-12T06:56:28 | 40,659,466 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,092 | py | from soundsystem import *
from entrydialog import *
def onTouched(item):
wakeUp()
speaker1 = RadioEntry("Frau (Deutsch)")
speaker1.setValue(True)
speaker2 = RadioEntry("Mann (Deutsch)")
speaker3 = RadioEntry("Man (English)")
pane1 = EntryPane("Speaker Selection", speaker1, speaker2, speaker3)
textEntry = StringEn... | [
"support@tigerjython.com"
] | support@tigerjython.com |
603d9ea3599691d5b10fc8f57254da626784186c | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2807/60901/257547.py | cdfa9e8ae508af0c04563ac829b9d53898e18c62 | [] | no_license | AdamZhouSE/pythonHomework | a25c120b03a158d60aaa9fdc5fb203b1bb377a19 | ffc5606817a666aa6241cfab27364326f5c066ff | refs/heads/master | 2022-11-24T08:05:22.122011 | 2020-07-28T16:21:24 | 2020-07-28T16:21:24 | 259,576,640 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 518 | py | def question24():
inf = input().split()
caseNum = int(inf[0])
keyNum = int(inf[1])
cases = list(map(int, input().split()))
keys = list(map(int, input().split()))
evenCase = 0
evenKey = 0
for i in cases:
if i % 2 == 0:
evenCase += 1
for i in keys:
if i % 2 ... | [
"1069583789@qq.com"
] | 1069583789@qq.com |
61017b92a48a809eeb2a5f40e12f992fbb4c6a89 | 1ad12a71c3d5d2b3810ce03e8bd138c4ffb66eb8 | /xlsxwriter/test/comparison/test_hyperlink48.py | b507ca1d7328302fccdea420681d272decb366bd | [
"BSD-2-Clause-Views"
] | permissive | idreamsfy/XlsxWriter | b52929229b16e2ee1eaca0cda9980a5a0aad5769 | 129044ed821de67895b4562c6b71f90eba5be6b4 | refs/heads/master | 2021-01-02T20:39:20.415882 | 2020-02-07T21:07:55 | 2020-02-07T21:07:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,068 | py | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2020, John McNamara, jmcnamara@cpan.org
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
"""... | [
"jmcnamara@cpan.org"
] | jmcnamara@cpan.org |
4c462860d3df77fd544f01cf80b428da102655e7 | ddacc08724b4b6c5c7951e2df884bb3f06711c30 | /college/migrations/0014_collegebookmark.py | b581871cba5712e65fbbc47730bd09b0fa8536b6 | [] | no_license | Manjimadutta/myCollegeAI | 51685014e66a41d3c6e0378b518e249e6059777d | d2eb855df218dad9f9f98fe0a5db5a0da11ab2c6 | refs/heads/main | 2023-07-10T14:47:35.287436 | 2021-08-08T03:19:10 | 2021-08-08T03:19:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,105 | py | # Generated by Django 3.1.4 on 2021-05-20 17:46
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
dependencies = [
('profiles', '0008_merge_20210504_1106'),
('college', '0013_auto_20210509_1351'),
]
operations = ... | [
"sonicxxx7@gmail.com"
] | sonicxxx7@gmail.com |
84df0add7e77525e1e3c8044ffb7e82ab5715e61 | bad62c2b0dfad33197db55b44efeec0bab405634 | /sdk/recoveryservices/azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/activestamp/aio/operations/_backup_engines_operations.py | 16559a83943359c9e045faa665368d0019fb716c | [
"MIT",
"LicenseRef-scancode-generic-cla",
"LGPL-2.1-or-later"
] | permissive | test-repo-billy/azure-sdk-for-python | 20c5a2486456e02456de17515704cb064ff19833 | cece86a8548cb5f575e5419864d631673be0a244 | refs/heads/master | 2022-10-25T02:28:39.022559 | 2022-10-18T06:05:46 | 2022-10-18T06:05:46 | 182,325,031 | 0 | 0 | MIT | 2019-07-25T22:28:52 | 2019-04-19T20:59:15 | Python | UTF-8 | Python | false | false | 9,949 | py | # pylint: disable=too-many-lines
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRe... | [
"noreply@github.com"
] | test-repo-billy.noreply@github.com |
2c5ee1b24707976568f1bdd8cde9fd0065b91717 | cf93be05cb55d09672eb2a8f29be510f29682a0a | /backend/m_11_nov_2020_dev_14959/settings.py | 11b165d67729754f6b5faf50aa55641c92abe0e3 | [] | no_license | crowdbotics-apps/m-11-nov-2020-dev-14959 | ae360767147dab38379e6eaec9bf2a8d251ead5c | 3f5ca1e790bbaaef94049eceb3aa7d45413636df | refs/heads/master | 2023-01-12T21:45:11.223735 | 2020-11-11T14:23:35 | 2020-11-11T14:23:35 | 311,935,268 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,042 | py | """
Django settings for m_11_nov_2020_dev_14959 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"... | [
"team@crowdbotics.com"
] | team@crowdbotics.com |
2804241abbe4c022434758445a07f6b8058a570e | 1595b644191c9c18a5503379703347a853b63348 | /investpy/funds.py | ee36ec04ac2da47359b8c770c51a22e7b5ec0111 | [
"MIT"
] | permissive | ben-haim/investpy | d26c05c3e957d3ba623f408076746edbf5a8107b | 7ace4ac7693f505c199074de3333f56e6b89cfef | refs/heads/master | 2022-05-30T00:43:00.473082 | 2019-11-20T15:45:37 | 2019-11-20T15:45:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 37,830 | py | #!/usr/bin/python3
# Copyright 2018-2019 Alvaro Bartolome @ alvarob96 in GitHub
# See LICENSE for details.
from datetime import datetime, date
import json
from random import randint
import pandas as pd
import pkg_resources
import requests
import unidecode
from lxml.html import fromstring
from investpy.utils.user_ag... | [
"alvarob96@usal.es"
] | alvarob96@usal.es |
0fef014991b46c7a0c08e2c62276df6716a3e542 | 728871b962f2a5ec8d8ec7d5b607def074fb8864 | /W261/HW1-Questions/mapper.py | d53b4678d83e4636efa39451387ebccf12095477 | [] | no_license | leiyang-mids/MIDS | 0191ffbaf9f7f6ec0e77522241c3e76d012850f1 | 918b0d8afc395840626eb31c451ad6c4b2f3bc39 | refs/heads/master | 2020-05-25T15:46:56.480467 | 2019-03-28T16:16:17 | 2019-03-28T16:16:17 | 35,463,263 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 966 | py | #!/usr/bin/python
import sys
import re
# let's use two dictionaries to hold the word counts for spam and non-spam
n_count, s_count = {}, {}
nSpam, nNormal = 0, 0
WORD_RE = re.compile(r"[\w']+")
filename = sys.argv[1]
#keywords = sys.argv[2].lower()
with open (filename, "r") as myfile:
for email in myfile.readlines(... | [
"ynglei@gmail.com"
] | ynglei@gmail.com |
2a704309f9bd9797b9fef44461151b8ff3071e59 | b2ae08ee0ccb9589ee7297387861423710b8de32 | /venv/bin/django-admin | 4dbb6ae0be2a21d9df45b9d68dd87070edb20b9e | [
"MIT"
] | permissive | BernardMairura/hoodBE | af5ce614ed3b19193ad609ec214cc15739437ecc | 1727369283d2b9eec5e191d18b64a4b91728cbad | refs/heads/master | 2023-01-27T11:20:58.476448 | 2020-12-09T10:52:18 | 2020-12-09T10:52:18 | 318,553,655 | 0 | 0 | NOASSERTION | 2020-12-09T10:52:19 | 2020-12-04T15:15:55 | Python | UTF-8 | Python | false | false | 287 | #!/home/bernard/MC34/hood/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
| [
"bernardmairura@gmail.com"
] | bernardmairura@gmail.com | |
683bf7756615fabb185ffb057e5a60bff47a1c28 | bed559d18b0a9604e6d18879e1f3837d228d1440 | /rx/linq/observable/amb.py | 881cffbb9ce88da8a3d53ef1d0ef15afb2547052 | [
"Apache-2.0"
] | permissive | jesonjn/RxPY | a80b7a8f0a3a8a6ddcb7f3ed678d2f8411cad84e | 9dfb62979f2c54b93bbb8c0ee5fa18cfae4d73d0 | refs/heads/master | 2020-12-29T00:25:17.866220 | 2014-11-15T10:24:05 | 2014-11-15T10:24:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,607 | py | from six import add_metaclass
from rx import Lock, Observable, AnonymousObservable
from rx.disposables import CompositeDisposable, SingleAssignmentDisposable
from rx.internal import ExtensionMethod
@add_metaclass(ExtensionMethod)
class ObservableAmb(Observable):
"""Uses a meta class to extend Observable with the ... | [
"dag@brattli.net"
] | dag@brattli.net |
add157bde41c9a4cbd1338c5b651fff8d021b2b2 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02684/s806665429.py | ddb04eef1caf0b6b1a36b814666965d0ab0b518c | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 365 | py | n, k = map(int, input().split())
a = list(map(int, input().split()))
route = []
town = set()
now = 1
while True:
now = a[now-1]
if now in town:
break
town.add(now)
route.append(now)
count = route.index(now)
if count >= k:
print(route[k-1])
else:
route = route[count:]
num = (k-coun... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
8e8e799a747770ae8ada540b024fdbdb038e1051 | 9463d85666453fd8e57a0ce9e515e4765ae2b60a | /cwgoogleplay/setup.py | 672f884140f3869dc45f98e033e5229b8e134abf | [
"MIT"
] | permissive | trujunzhang/djzhang-targets | dc6c3086553a5450fb239cc1cef5330a51a02e1f | c2e327acde9d51f0455e7243f17d93d74b579501 | refs/heads/master | 2021-01-09T20:52:31.258826 | 2016-07-16T13:18:53 | 2016-07-16T13:18:53 | 60,747,429 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | # Automatically created by: scrapyd-deploy
from setuptools import setup, find_packages
setup(
name = 'project',
version = '1.0',
packages = find_packages(),
entry_points = {'scrapy': ['settings = cwgoogleplay.settings']},
)
| [
"trujunzhang@gmail.com"
] | trujunzhang@gmail.com |
6b07649c048def3564d53e8c438bac1c53cb7952 | 9e5551fb4ba461a7764ab252ac46ebb077ba69eb | /assignment2/cs231n/layers.py | b7023e93437e71d5f3c4612c771b15cbd1c23d9d | [] | no_license | jdc08161063/convolutional-neural-networks | 39203b8d07054df118369f5039e91b6299f99ba4 | d23a041c022ee036ecc477cfa8ed265d2a1a0e49 | refs/heads/master | 2021-05-09T11:11:10.537281 | 2018-01-25T11:34:18 | 2018-01-25T11:34:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,136 | py | from builtins import range
import numpy as np
def affine_forward(x, w, b):
"""
Computes the forward pass for an affine (fully-connected) layer.
The input x has shape (N, d_1, ..., d_k) and contains a minibatch of N
examples, where each example x[i] has shape (d_1, ..., d_k). We will
reshape each ... | [
"le_j6@denison.edu"
] | le_j6@denison.edu |
40ed249d3f469f3beaefc411e13cfa0c9b8eb094 | 069430e576d37cbd01283015c2b642d7365fb40e | /tcex/__metadata__.py | 8c87f4485f0e12a77fce22a4631aff2e05c40742 | [
"Apache-2.0"
] | permissive | NThreat/tcex | 19633d5fb0fe3aaa8802e2c5211bb19725d30011 | 7c314857311042526e317fc226cb6f7f8b74a36a | refs/heads/master | 2023-03-25T20:28:46.687077 | 2021-03-20T14:38:30 | 2021-03-20T14:38:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 433 | py | """Package version and other metadata"""
__author__ = 'ThreatConnect (support@threatconnect.com)'
__author_email__ = 'support@threatconnect.com'
__description__ = 'ThreatConnect Exchange App Framework'
__license__ = 'Apache License, Version 2'
__package_name__ = 'tcex'
__url__ = 'https://github.com/ThreatConnect-Inc/tc... | [
"bsummers@threatconnect.com"
] | bsummers@threatconnect.com |
fb73cbbd5571a77d41bd9836d7c78ebc57153914 | 8963feb7f81c45de2ba56d4d6f5fdde1f41d4a33 | /im2mesh/r2n2/models/__init__.py | 69778d673347eaa716f35e1ac802366db493df62 | [
"MIT"
] | permissive | AlexsaseXie/occupancy_networks | ae2fd48d67caf944f244b4baa4045496f3bc7920 | 972119ae7a7c9f782e1fc1df48a5b85b678edd31 | refs/heads/master | 2021-07-19T03:11:42.100464 | 2020-10-30T03:41:05 | 2020-10-30T03:41:05 | 225,619,537 | 3 | 2 | MIT | 2019-12-03T12:53:04 | 2019-12-03T12:53:04 | null | UTF-8 | Python | false | false | 757 | py | import torch.nn as nn
from im2mesh.r2n2.models.decoder import Decoder
# Decoder dictionary
decoder_dict = {
'simple': Decoder,
}
class R2N2(nn.Module):
''' The 3D Recurrent Reconstruction Neural Network (3D-R2N2) model.
For details regarding the model, please see
https://arxiv.org/abs/1604.00449
... | [
"lars.mescheder@tuebingen.mpg.de"
] | lars.mescheder@tuebingen.mpg.de |
0ccb8ab49fe46166e923d1f523f543d3fe1b98d8 | e0ff22c17eaa1e7009089a58575567b0ead63d49 | /cnntrain/pylibseg/segtrain.py | aecfec99496f84d0c07e3328c99dd26ccf2892dd | [] | no_license | slehaff/dblive | afcb5297057ad4d78177b886013250d2ed068424 | 7f7bdf38998bd65d00e5ac7df3ef5289b2781e83 | refs/heads/master | 2023-05-27T16:38:21.865344 | 2021-06-07T10:09:28 | 2021-06-07T10:09:28 | 303,078,424 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,087 | py | from tensorflow.keras import layers
import numpy as np
import os
import cv2
import pandas as pd
import keras_preprocessing
import tensorflow.keras
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Conv2D
from tensorflow.keras import optimizers
from tensorflow.keras.callbacks impo... | [
"samir@lehaff.dk"
] | samir@lehaff.dk |
629d202047ac4e24386d711bb511367202eded3f | 571d36f865b545c0a72134e586fbcddd6953a68b | /eng/box.py | ececc240ed1b4279d650253024d3d5bb7f9e7674 | [] | no_license | andrew-turner/Ditto | a5a79faaf31cc44d08ac5f70fa2ac51e51d1b60f | 72841fc503c716ac3b524e42f2311cbd9d18a092 | refs/heads/master | 2020-12-24T14:19:01.164846 | 2015-05-20T08:42:26 | 2015-05-20T08:42:26 | 35,935,568 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,184 | py | import os
import pygame
import eng.globs as globs
import eng.settings as settings
import eng.data as data
class Box(pygame.Surface):
"""
Class to provide sized boxes.
Box(size, fn=None)
cursor
sidecursor
"""
def __init__(self, size, fn=None):
"""
Draw the box and load cursor... | [
"andrew.turner@merton.ox.ac.uk"
] | andrew.turner@merton.ox.ac.uk |
2c868859f32898ee567d57a11f8465d52defaa9b | 0a973640f0b02d7f3cf9211fcce33221c3a50c88 | /.history/src/easy-money_20210129170414.py | befa878f5cbb7ed857230b4ee11b494b472f60c6 | [] | no_license | JiajunChen123/IPO_under_review_crawler | 5468b9079950fdd11c5e3ce45af2c75ccb30323c | 031aac915ebe350ec816c05a29b5827fde588567 | refs/heads/main | 2023-02-26T08:23:09.622725 | 2021-02-04T10:11:16 | 2021-02-04T10:11:16 | 332,619,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 13,979 | py | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# 东方财富网 首发申报
import re
import pickle
from datetime import datetime, timedelta
from urllib.parse import urlencode
import pandas as pd
import requests
import re
import time
from bs4 import BeautifulSoup
base_url = 'https://datainterface.eastmoney.com/EM_DataCenter/JS.aspx?'... | [
"chenjiajun.jason@outlook.com"
] | chenjiajun.jason@outlook.com |
a290e85705ab99d42c9637d0930b248484550781 | 89979cdf3e7ef2d07ae28ea5027a39561b24404a | /Utils/NLPUtils/classification/models/NaiveBayesClassifiers.py | 8ccf5074997faf3749bb70314680a3130fc1deaa | [] | no_license | LautaroEst/BecaNLP | 8c273043052910c2567ec95222282fa6d43a6efe | dad43317cd51fa4ec80cbe36ba0ec07b54f0b424 | refs/heads/master | 2022-11-04T23:45:32.396013 | 2021-04-29T21:19:10 | 2021-04-29T21:19:10 | 220,004,944 | 4 | 1 | null | 2022-10-12T09:38:18 | 2019-11-06T13:37:21 | Jupyter Notebook | UTF-8 | Python | false | false | 634 | py | import numpy as np
from sklearn.naive_bayes import MultinomialNB as sklearnMNB, BernoulliNB as sklearnBNB, CategoricalNB as sklearnCNB
from .BaseClassifiers import NaiveBayesClassifier
class MultinomialNB(NaiveBayesClassifier):
def __init__(self,**kwargs):
self.classifier = sklearnMNB(**kwargs)
class BernoulliN... | [
"lautaro.est@gmail.com"
] | lautaro.est@gmail.com |
4ffc57cb887238c331f84dfb5129cbc404e41515 | ed44c039862c6bde4c790c29f49d4e1012ae04ff | /sep11/venv/bin/pybabel | 156e1d5524373ce023fe6f81f7c95b4464057966 | [] | no_license | ravijaya/sep13 | 983bc2fc62a03c607478400dbdf9f91acc028b5d | fca95700ec9e3b56fc99621396d72ae411b3be92 | refs/heads/master | 2022-09-19T05:04:29.422670 | 2019-09-13T13:17:21 | 2019-09-13T13:17:21 | 208,267,991 | 0 | 0 | null | 2022-09-13T23:02:52 | 2019-09-13T13:15:15 | Python | UTF-8 | Python | false | false | 269 | #!/home/ravijaya/Trainings/Python-Devops/sep11/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from babel.messages.frontend import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(main())
| [
"ravijaya@localhost.localdomain"
] | ravijaya@localhost.localdomain | |
9079285a7b32c354584c4103427661fa37cd3144 | 6fcfb638fa725b6d21083ec54e3609fc1b287d9e | /python/pandas-dev_pandas/pandas-master/pandas/tests/test_internals.py | f086935df6dc8bed8c86ae59f237d8aea7f83a57 | [] | no_license | LiuFang816/SALSTM_py_data | 6db258e51858aeff14af38898fef715b46980ac1 | d494b3041069d377d6a7a9c296a14334f2fa5acc | refs/heads/master | 2022-12-25T06:39:52.222097 | 2019-12-12T08:49:07 | 2019-12-12T08:49:07 | 227,546,525 | 10 | 7 | null | 2022-12-19T02:53:01 | 2019-12-12T07:29:39 | Python | UTF-8 | Python | false | false | 47,892 | py | # -*- coding: utf-8 -*-
# pylint: disable=W0102
from datetime import datetime, date
import pytest
import numpy as np
import re
import itertools
from pandas import (Index, MultiIndex, DataFrame, DatetimeIndex,
Series, Categorical)
from pandas.compat import OrderedDict, lrange
from pandas.sparse.ar... | [
"659338505@qq.com"
] | 659338505@qq.com |
607bed4f5eacf2ae276141645ca6c12778e3438b | d4a89b9113980e7b8225a5cfc197f6742b3e2ffe | /1st year/PF/Lab/Test1/services.py | 10a591c73cdb41d7730549538867d4be5613afdf | [] | no_license | Akitektuo/University | 26a37d2831c3ed8a42dc27bd8c27778b479367c2 | 3c94b6aedcf6e69012d8e892d775481965e7551d | refs/heads/master | 2023-03-19T22:16:20.529707 | 2022-05-19T13:33:02 | 2022-05-19T13:35:03 | 212,976,476 | 2 | 2 | null | 2023-03-06T16:32:34 | 2019-10-05T09:46:05 | Java | UTF-8 | Python | false | false | 3,059 | py | from flight import *
from validator import *
def preload_flights():
"""
Preloads the flight list with flights
Input: -
Output: -
"""
flights = []
flights.append(create_flight("0B3001", 30, "Cluj-Napoca", "Bucharest"))
flights.append(create_flight("0B3002", 60, "Cluj-Napoca"... | [
"alexcopindean@yahoo.com"
] | alexcopindean@yahoo.com |
360deb7ff01162b82a1d4c36509b278d656f8e59 | 008843692343506336e8cb7fe487efaf844b3f4d | /architect/inventory/forms.py | 6b5f5617a6df1b9c06d680a831d7f88329ff78f5 | [] | no_license | epcim/architect-api | 1ecde99a60331b7a55d3073086a9aafaf70e57d6 | c3188e55a0358d1ccb810f708706f7e58f74078e | refs/heads/master | 2021-03-30T21:25:00.603250 | 2018-03-09T14:38:01 | 2018-03-09T14:38:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,720 | py |
import os
import re
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Layout, Fieldset, Div, Submit, HTML
from django import forms
from django.urls import reverse
from django.conf import settings
from django.core import validators
from .models import Inventory, Resource
class SlugField(forms... | [
"mail@newt.cz"
] | mail@newt.cz |
7a36f95bdcb55677ffdc4a8de86278144e830cd9 | 4ce49f691f8f32b37bbc19059398915f341fe065 | /setup.py | 984656d532ef56c4a6759e806b6a99127c5e8b5a | [
"MIT"
] | permissive | rjagerman/chainercb | 03afddec5f4f9858623084e31e4915718125d87a | 72f18146828e7ec3dbaec210ab2f41fe25033e42 | refs/heads/master | 2021-04-06T05:29:47.671405 | 2018-11-07T00:38:03 | 2018-11-07T00:38:03 | 125,028,563 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 678 | py | from setuptools import setup
setup(
name='chainercb',
version='0.2.3',
description='Neural Contextual Bandits using Chainer',
url='https://github.com/rjagerman/chainercb',
download_url = 'https://github.com/rjagerman/chainercb/archive/v0.2.3.tar.gz',
author='Rolf Jagerman',
author_email='rj... | [
"rjagerman@gmail.com"
] | rjagerman@gmail.com |
c458ef647a88a0968a664cde49e5b1984cd65e44 | b76615ff745c6d66803506251c3d4109faf50802 | /pyobjc-framework-GameCenter/PyObjCTest/test_gklocalplayer.py | 2cb908dba9a7f2babf933d3c24a216a8e9c1251d | [
"MIT"
] | permissive | danchr/pyobjc-git | 6ef17e472f54251e283a0801ce29e9eff9c20ac0 | 62b787fddeb381184043c7ff136f1c480755ab69 | refs/heads/master | 2021-01-04T12:24:31.581750 | 2020-02-02T20:43:02 | 2020-02-02T20:43:02 | 240,537,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,803 | py | from PyObjCTools.TestSupport import *
import objc
import sys
if sys.maxsize > 2 ** 32:
import GameCenter
class TestGKLocalPlayer(TestCase):
@expectedFailureIf(os_release().rsplit(".", 1)[0] == "10.9")
@min_os_level("10.8")
def testMethods10_8(self):
self.assertIsInstance(Ga... | [
"ronaldoussoren@mac.com"
] | ronaldoussoren@mac.com |
63f775b20515da0b6bf1a3a387735f7bb4a50c4f | 8d161515037cd42dcd6404a068620c11b2597ae8 | /LeetCode/TopologicalSort/course_schedule_2.py | 3f1577ea0da66c1a344af053230500ea313c1199 | [] | no_license | YiseBoge/CompetitiveProgramming | 433526d18a7bfe754f9e1c8d20b2b234d7b7568c | 26b720623bcc1afe054101a13ca37b65ff518ce1 | refs/heads/master | 2021-12-03T17:52:00.048476 | 2021-11-23T17:40:14 | 2021-11-23T17:40:14 | 225,392,780 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,138 | py | import collections
class Solution:
def findOrder(self, numCourses: int, prerequisites: list) -> list:
results = []
visited = set()
graph = {}
incomings = [0] * numCourses
for i in range(numCourses):
graph[i] = []
for el in prerequisites:
in... | [
"Ethiopia1!"
] | Ethiopia1! |
714657f61ebb00d1e2486853057d73e867e44a9b | 9ac205e4d8f111608d1abbcfa78b5b6598c17955 | /303.区域和检索-数组不可变.py | 62b93782eb46009f74fde34f0f122348a64246e1 | [] | no_license | oceanbei333/leetcode | 41ff0666da41750f7d3c82db53ec6f7f27125d3e | 5d29bcf7ea1a9e489a92bc36d2158456de25829e | refs/heads/main | 2023-03-16T18:17:25.232522 | 2021-02-28T04:56:40 | 2021-02-28T04:56:40 | 319,561,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 603 | py | #
# @lc app=leetcode.cn id=303 lang=python3
#
# [303] 区域和检索 - 数组不可变
#
# @lc code=start
class NumArray:
def __init__(self, nums: List[int]):
for index in range(1, len(nums)):
nums[index] += nums[index-1]
self.nums = nums
@functools.lru_cache(None)
def sumRange(self, i: int, j:... | [
"root@DESKTOP-2T4F83G.localdomain"
] | root@DESKTOP-2T4F83G.localdomain |
0811c571a3808f0d496175d63bdb28a4be42e8fe | 8229649a3a8c54a15b623ba44d090e23a8186ca1 | /src/accounts/admin.py | 6198d2e0249467f2ee62d0556b07a90738303310 | [] | no_license | jirayr2609/SportsUnitedBackEnd | 5c4292f88a4e1f41df02ff9c8942725318e05cf3 | 607d2a60471009a314f6e1ab7dfa8d92a7ad1ade | refs/heads/master | 2021-05-10T20:03:23.211460 | 2018-01-13T03:27:17 | 2018-01-13T03:27:17 | 118,175,133 | 0 | 0 | null | 2018-01-19T20:29:31 | 2018-01-19T20:29:31 | null | UTF-8 | Python | false | false | 1,692 | py | from django.contrib import admin
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
from .models import *
# class UserAdmin(BaseUserAdmin):
# search_fields = ('email', 'first_name')
# ordering = ('email',)
# list_display = ('id', 'email', 'first_name')
# fieldsets = (
# (None, {'... | [
"e.amespizarro@gmail.com"
] | e.amespizarro@gmail.com |
da3c5684a7721cfe8d3fe89486c230fc19623644 | 9c52998e7d92640b82284e7e85bf69205fc94d73 | /SeleniumLearningFiles/SeleniumLearning04/webdriver/Test1/generater.py | da79e98a24909b7d45bd5ede85d260ff7a25f0ba | [] | no_license | github653224/GitProjects_SeleniumLearing | b0c57d27fa48b0cd7475f8d8e8b19c57160e65fc | 818b573a3b0f18def98610e59e3c0c6500a675bc | refs/heads/master | 2021-07-20T05:54:46.392948 | 2017-10-27T12:53:41 | 2017-10-27T12:53:41 | 107,764,014 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 787 | py | a=[x*x for x in range(11)]
print(a)
# 如果列表元素可以按照某种算法推算出来,那我们是否可以在循环的过程中不断推算出后续的元素呢?
# 这样就不必创建完整的list,从而节省大量的空间。在Python中,这种一边循环一边计算的机制,
# 称为生成器:generator。 要创建一个generator,有很多种方法。第一种方法很简单,只要把一个
# 列表生成式的[]改成(),就创建了一个generator:
g=(i*i for i in range(11))
print(next(g))
print(next(g))
print(next(g))
print("================... | [
"944851899@qq.com"
] | 944851899@qq.com |
87e3126b85b06a59837880826fd87046c6382599 | e8bc479b6ab88dff328c4d6ba3b24dec2b14ac27 | /nuitka/tools/quality/autoformat/__main__.py | 2cc6525631b690fe19e937df750bbca8cdbb7fe2 | [
"LicenseRef-scancode-warranty-disclaimer",
"Apache-2.0"
] | permissive | Pihu1998/Nuitka | 368469700b7c7310a54ab781bb3bf2b768067aff | b84034fbc516afb1d501a9eb84a58552efa247c2 | refs/heads/develop | 2020-04-28T16:38:00.978801 | 2019-03-09T16:11:52 | 2019-03-09T16:11:52 | 175,418,891 | 0 | 0 | Apache-2.0 | 2019-03-13T12:43:16 | 2019-03-13T12:43:15 | null | UTF-8 | Python | false | false | 2,377 | py | #!/usr/bin/env python
# Copyright 2019, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this fi... | [
"kay.hayen@gmail.com"
] | kay.hayen@gmail.com |
b9750053cf0af6fc9fb2076a0a93e7da78b67efc | 52f0984561895b48f3e6e40658a6e52c97705715 | /python-folder/dictionary-dictionary.py | 8fa1c8e1239aa41bc362c920db16c8be9959c7e1 | [] | no_license | jsanon01/python | 8da2755e7724850875518455c1760bb9f04dd873 | edd52214e3578f18b71b0ad944c287411fb23dfb | refs/heads/master | 2022-05-20T00:29:10.550169 | 2022-05-10T01:08:48 | 2022-05-10T01:08:48 | 165,682,490 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 718 | py | """
I want to print a main dictionary and sub-dictionary with keys and values
I want to print a dictionary inside main dictionary with keys and values
I want to print indexes in a dictionary
"""
data = {
'teams': 'Red Sox, Bruins, Patriots',
'wins': {'year': 2018, 'score': '36-12'}
}
print("\nI want to print 'main... | [
"jeansanon180@gmail.com"
] | jeansanon180@gmail.com |
e1c4af9241459df5e7bcd59937c031f4fb87f751 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03606/s818080839.py | c288dfefdd86db85a45f087c0e9ec3028334b76d | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 440 | py | import bisect,collections,copy,heapq,itertools,math,string
import sys
def S(): return sys.stdin.readline().rstrip()
def M(): return map(int,sys.stdin.readline().rstrip().split())
def I(): return int(sys.stdin.readline().rstrip())
def LI(): return list(map(int,sys.stdin.readline().rstrip().split()))
def LS(): return lis... | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
46fb2fe5eb4b01bf7de8dc822f00a214fb9979f3 | 633638a8c901b19d05178a4ebee586cb6e4b6dbf | /src/detectyuri.py | 85ad8b72fe0ee66737321625d2b66ab463c60878 | [] | no_license | onnga-wasabi/yuri | 2961c8f3be33634b08ccb9b082aaa014955c4960 | fcc70f4ee49c88e6635f282511cb0ebb47baf8e0 | refs/heads/master | 2020-03-10T22:58:30.156085 | 2018-04-21T04:34:49 | 2018-04-21T04:34:49 | 129,630,662 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 821 | py | import numpy as np
import cv2
from pathlib import Path
import sys
def main():
cascade = cv2.CascadeClassifier('models/model.xml')
p = Path('../data/' + DNAME)
imgs = [fname for fname in p.iterdir() if not fname.name == '.gitkeep']
i = 0
for img in imgs:
image = cv2.imread(str(img), 1)
... | [
"yuuto.onnga.23@gmail.com"
] | yuuto.onnga.23@gmail.com |
5cc36ee254f667cc6e17186cae8ad3b6b4ac047c | 54f352a242a8ad6ff5516703e91da61e08d9a9e6 | /Source Codes/AtCoder/abc017/A/4894508.py | 30b6729f41639d9d565b78e85f4361ad994f8744 | [] | no_license | Kawser-nerd/CLCDSA | 5cbd8a4c3f65173e4e8e0d7ed845574c4770c3eb | aee32551795763b54acb26856ab239370cac4e75 | refs/heads/master | 2022-02-09T11:08:56.588303 | 2022-01-26T18:53:40 | 2022-01-26T18:53:40 | 211,783,197 | 23 | 9 | null | null | null | null | UTF-8 | Python | false | false | 93 | py | s = 0
for i in range(3):
a, b = map(int, input().split())
s += a * b
print(s//10) | [
"kwnafi@yahoo.com"
] | kwnafi@yahoo.com |
54764fa0fb34992adc11f76791ab7dbcd5e8a90f | 4cc97094736f53c005e4da5674e968ad757d6f10 | /easy/10_alphabet_soup.py | 41c0e31c7cd6d9d452ee4ee1a7c8365dd2e920df | [] | no_license | Gabkings/coderbyte | 8bd59a69a9db46b562d5f5c011e5ab70fbb480c9 | bdbd0ca0c79f89485b927f40c700e5aedba197d4 | refs/heads/master | 2023-03-18T04:49:16.797425 | 2015-11-25T22:51:52 | 2015-11-25T22:51:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 492 | py | # Have the function AlphabetSoup(str) take the str string parameter being passed and return the string with the letters
# in alphabetical order (ie. hello becomes ehllo). Assume numbers and punctuation symbols will not be included in the string.
def AlphabetSoup(a_string):
list_of_chars = []
for char in a_str... | [
"paigebolduc@gmail.com"
] | paigebolduc@gmail.com |
5e5d7c3e6155b2c19b3a4d1849738190be2fde9d | e78f76b899117637944f0134a386a6f4443334d0 | /sample/9/NotePadAT.py | f2caeb2cd7b5389fa3e22625d6e550be158afc0b | [] | no_license | yama5/pythonLab-v3 | b6183eca91fadb7e6d09d886b4c602b1d8c83c75 | edf012748e021a14dc93dcd9f474412b7eca0e44 | refs/heads/master | 2020-04-27T06:01:32.179510 | 2019-02-19T09:52:34 | 2019-02-19T09:52:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,543 | py | # -*- coding: UTF-8 -*-
from datetime import datetime
from pywinauto import application
from time import sleep
#sleep time
sleepSec=1
# Win32 API(Default)
app = application.Application(backend='win32')
app.start('notepad.exe')
# Notepad クラス (Notepad のウィンドウ) を探して日時を入力
app.Notepad.Edit.set_edit_text(datetime.now())
... | [
"to-yuki@jtp.co.jp"
] | to-yuki@jtp.co.jp |
f3f518efa443fa90cde3a6be4048a1dd6b85d304 | a130fd7c22f60ff70824331c9ad5bc7cb7c1f8bd | /test/test_back_end/test_emitter/test_statements/test_jumps.py | 4cefa8f1da5c349f2f053ae68aba10a4356b38dc | [] | no_license | samyvilar/c_compiler | a366421972ac0f9560538531cf965087ffd9bf9c | fde490814ec751aa052ecfdaa3ba1be1c6209db4 | refs/heads/master | 2020-04-30T00:17:23.463952 | 2014-02-27T23:13:28 | 2014-02-27T23:13:28 | 17,496,354 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 3,042 | py | __author__ = 'samyvilar'
from test.test_back_end.test_emitter.test_statements.test_compound import TestStatements
from front_end.parser.ast.expressions import ConstantExpression, IntegerType
class TestJump(TestStatements):
def test_continue(self):
source = """
{
int sum = 0, index = 0... | [
"samy.vilar@gmail.com"
] | samy.vilar@gmail.com |
2006a9d4b702cc41c5285de2838fd9506e4a8fbd | 8ecd1d9d1760acbf1f9b999363a5d150460e1c2a | /E4-9.py | 6d2844a811980e233b2f0222db4e702ed356d8c9 | [] | no_license | Gary2018X/data_processing_primer | 0910c7c37af7ed03546520303c7d1660c62b0254 | b0d2cb16b4fcaed08f01accb4695232a33131d28 | refs/heads/master | 2023-01-14T17:39:48.856606 | 2020-11-17T03:21:32 | 2020-11-17T03:21:32 | 298,432,953 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 281 | py | # -*- coding: utf-8 -*-
# author:Gary
import numpy as np
# ********numpy二元数组索引参照和切片********#
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(arr)
# (1)取出值为3的元素;
print(arr[0, 2])
# (2)取出二元数组[[4,5],[7,8]];
print(arr[1:, 0:2])
| [
"56428019+Gary2018X@users.noreply.github.com"
] | 56428019+Gary2018X@users.noreply.github.com |
2da1934f98b282a1c541e63bf6c90856a5f62161 | 46c521a85f567c609f8a073cb9569ea59e2a104f | /20_function_28.py | 4e8e7f5f2a5cf86daea7531c18a2e89cda32acbe | [] | no_license | Kunal352000/python_adv | c046b6b785b52eaaf8d089988d4dadf0a25fa8cb | d9736b6377ae2d486854f93906a6bf5bc4e45a98 | refs/heads/main | 2023-07-15T23:48:27.131948 | 2021-08-21T13:16:42 | 2021-08-21T13:16:42 | 398,557,910 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | from math import*
print(pi)
print(sin(90))
print(cos(0))
print(tan(45))
print(ceil(2.1))
print(floor(2.99))
print(2,3)
print(gcd(6,12))
print(lcm(6,12))
print(prod([1,2,3,4]))
print(sqrt(49))
print(factorial(5))
print(perm(5,2))
print(comb(5,2))
"""
output:
3.141592653589793
0.8939966636005579
1.0
1... | [
"noreply@github.com"
] | Kunal352000.noreply@github.com |
9108ad430c413db6b6458b729c7530c4146e2eac | 64fbb76326f92ecebdd721327129ee7c20d8c6d8 | /utils/main.py | 0ff63c4d4f0073b632f4928d93627dcd2ca63b85 | [] | no_license | shaoqianliang/block_chain | dfcbf098bed45454cf8b43bb9b6e465bcbb65aff | 67f2206fb65170dc2fc53d87577e892e2493c9f7 | refs/heads/master | 2020-03-27T22:51:25.973093 | 2018-09-04T06:41:07 | 2018-09-04T06:41:07 | 147,224,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,230 | py | # -*- coding: utf-8 -*-
import pandas as pd
from auto_trade import models
import datetime
import requests
account = models.Account.objects.values()
trade_cal = pd.read_csv('trade_cal.csv')#暂时没数据,交易时间
request = requests.session()
class G:
pass
class Context:
def __init__(self, cash, start_date, end_date, stat... | [
"1132424753@qq.com"
] | 1132424753@qq.com |
8ab09fc660e64a0cd3d79ff8900ecad7c9dcf126 | f9d564f1aa83eca45872dab7fbaa26dd48210d08 | /huaweicloud-sdk-dris/huaweicloudsdkdris/v1/dris_client.py | b59e663f3e6d286e20bf7186da9fa5530c1848cc | [
"Apache-2.0"
] | permissive | huaweicloud/huaweicloud-sdk-python-v3 | cde6d849ce5b1de05ac5ebfd6153f27803837d84 | f69344c1dadb79067746ddf9bfde4bddc18d5ecf | refs/heads/master | 2023-09-01T19:29:43.013318 | 2023-08-31T08:28:59 | 2023-08-31T08:28:59 | 262,207,814 | 103 | 44 | NOASSERTION | 2023-06-22T14:50:48 | 2020-05-08T02:28:43 | Python | UTF-8 | Python | false | false | 127,908 | py | # coding: utf-8
from __future__ import absolute_import
import importlib
from huaweicloudsdkcore.client import Client, ClientBuilder
from huaweicloudsdkcore.utils import http_utils
from huaweicloudsdkcore.sdk_stream_request import SdkStreamRequest
class DrisClient(Client):
def __init__(self):
super(Dris... | [
"hwcloudsdk@huawei.com"
] | hwcloudsdk@huawei.com |
9ac88ac238eebb51f69cab7b35c71ce3e460fe79 | 3db2fcd1a34ae7b22225029587369f49424457dd | /tests/DataPreparerTest.py | 35dc5a3f4d64057b9016cbefac5442a9f2d13fbe | [] | no_license | pombredanne/realigner | 7f0fdfdf42f757fead45cdeb5ea2901c4965e944 | b0c32cace20dd720c7609f009d86846d9ecb750f | refs/heads/master | 2021-01-18T03:57:30.977009 | 2014-05-06T09:35:46 | 2014-05-06T09:35:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,697 | py | __author__ = 'michal'
import unittest
from classifier_alignment import constants
from classifier_alignment.DataPreparer import DataPreparer, IndelDataPreparer
from classifier_alignment.DataLoader import DataLoader
from alignment import Fasta
class DataPreparerTest(unittest.TestCase):
def __init__(self, *args):
... | [
"mhozza@gmail.com"
] | mhozza@gmail.com |
44411e9b9f7e5b41bed79a8639bfcc52a16e52bb | 79041f273c057b2fbb115b35494b13250ac7a42c | /bel/resources/manage.py | d46410a6d919a247ccbf09d0f9715b448b5ab429 | [
"Apache-2.0"
] | permissive | belbio/bel | 3786b65a10d44735407b0e79c8489bea1df58863 | 14ff8e543a679e7dfff3f38f31c0f91ffd55e4d8 | refs/heads/master | 2022-12-08T23:02:28.242510 | 2020-12-21T16:17:47 | 2020-12-21T16:17:47 | 116,027,945 | 6 | 2 | Apache-2.0 | 2022-06-01T23:58:52 | 2018-01-02T15:14:32 | Python | UTF-8 | Python | false | false | 7,083 | py | # Standard Library
import copy
import gzip
import json
from typing import List
# Third Party
from loguru import logger
# Local
import bel.core.mail
import bel.core.settings as settings
import bel.core.utils
import bel.db.arangodb as arangodb
import bel.db.elasticsearch as elasticsearch
import bel.resources.namespace
... | [
"william.s.hayes@gmail.com"
] | william.s.hayes@gmail.com |
079c06a43d4f3e5d049d315a0559e8491d1abd3a | f09dc121f213f2881df3572288b7ee5b39246d73 | /aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/ListClusterServiceComponentRequest.py | 48714e9a03d978d4a7c3d24a5bb5f7e4f0223c9b | [
"Apache-2.0"
] | permissive | hetw/aliyun-openapi-python-sdk | 2f31378ad6be0896fb8090423f607e9c7d3ae774 | 7443eacee9fbbaa93c7975c6dbec92d3c364c577 | refs/heads/master | 2023-01-19T22:42:36.214770 | 2020-12-04T10:55:14 | 2020-12-04T10:55:14 | 318,689,093 | 1 | 0 | NOASSERTION | 2020-12-05T03:03:03 | 2020-12-05T03:03:03 | null | UTF-8 | Python | false | false | 2,710 | py | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
"sdk-team@alibabacloud.com"
] | sdk-team@alibabacloud.com |
a0693e9c66f9a14fa8bd9eaf0783e7d63d52be58 | 9501635a28693b0cfd7dd91ecf6004f3517b1aa9 | /deploy.py | aef4b16b5bbc4d72b79a6f6d2ef3ccf609c4fa76 | [] | no_license | EvolveWork/EvolveWork-hugo | 723bf3fd78a352742f9224cc38304ddfd8b74074 | 69a3a2bd1ec0f15780edc43b2661dd90182152fe | refs/heads/master | 2023-07-09T05:24:33.022541 | 2023-06-21T18:45:05 | 2023-06-21T18:45:05 | 144,762,124 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,067 | py | from pathlib import Path
import sys
import os
import shutil
exclude = [
".git",
".gitkeep",
"CNAME",
"README.md",
]
root_name = Path().cwd().stem.split("-")[0]
target = Path.cwd().parent / f"{root_name}.github.io"
def unknown(item):
print("UNKNOWN ITEM: {}".format(item))
sys.exit(1)
for item... | [
"mindviewinc@gmail.com"
] | mindviewinc@gmail.com |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.