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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 147
values | src_encoding stringclasses 25
values | language stringclasses 1
value | is_vendor bool 2
classes | is_generated bool 2
classes | length_bytes int64 128 12.7k | extension stringclasses 142
values | content stringlengths 128 8.19k | authors listlengths 1 1 | author_id stringlengths 1 132 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 | |
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 |
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 |
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 |
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 |
6da4928982eb3db9b43481b949d33b97d283ca16 | 7dae72dbf90230633271669f4bd1c24a3bfb651c | /src/matches/migrations/0003_auto_20171009_0851.py | a1d589e36d9bfa5079630eec5cb1b37de443f156 | [] | no_license | cshc/cshc-web | 81bcb134db607c45e3284d7ef4d825f04f5cd9c7 | d85aa4522c4ffa603efa9e8625fc7253fb7550b5 | refs/heads/master | 2023-03-04T16:45:51.823450 | 2022-10-21T15:16:48 | 2022-10-21T15:17:58 | 106,065,961 | 3 | 1 | null | 2023-08-28T13:43:22 | 2017-10-07T02:28:25 | Python | UTF-8 | Python | false | false | 1,196 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.5 on 2017-10-09 01:51
from __future__ import unicode_literals
from django.db import migrations, models
import model_utils.fields
class Migration(migrations.Migration):
dependencies = [
('matches', '0002_auto_20171008_1816'),
]
operations = [
... | [
"admin@grahammcculloch.co.uk"
] | admin@grahammcculloch.co.uk |
4e54c9055ac6e0a17ea8477cf80fadca35c754ee | c47340ae6bcac6002961cc2c6d2fecb353c1e502 | /test/test_token_data_response.py | da6f78e9ff0165bd5ba97f9b88cd256efebe3b52 | [
"MIT"
] | permissive | rafaeldelrey/controlm_py | 6d9f56b8b6e72750f329d85b932ace6c41002cbd | ed1eb648d1d23e587321227217cbfcc5065535ab | refs/heads/main | 2023-04-23T09:01:32.024725 | 2021-05-19T00:25:53 | 2021-05-19T00:25:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 929 | py | # coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.115
Contact: customer_support@bmc.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import con... | [
"dcompane@gmail.com"
] | dcompane@gmail.com |
7d9b5e9a7355d8c69586e6db9203367fad8f78fd | 010b9b003f71bae2feed4c050ee97a7a806766c5 | /acd/scores/cd.py | f7340a41d11266271a052dc71a2406320a530885 | [
"MIT"
] | permissive | SilanHe/hierarchical-dnn-interpretations | 19c4bb524e80288e61b55ae7bda8a3402f4def51 | d6f96d0ab6fec48ee53ab930b2660e80525993b9 | refs/heads/master | 2022-04-20T15:38:48.677928 | 2020-01-20T18:27:50 | 2020-01-20T18:27:50 | 255,742,196 | 0 | 0 | MIT | 2020-04-14T22:29:59 | 2020-04-14T22:29:58 | null | UTF-8 | Python | false | false | 7,923 | py | import torch
import torch.nn.functional as F
from copy import deepcopy
import numpy as np
from scipy.special import expit as sigmoid
from .cd_propagate import *
from .cd_architecture_specific import *
def cd(im_torch: torch.Tensor, model, mask=None, model_type=None, device='cuda', transform=None):
'''Get contextua... | [
"chandan_singh@berkeley.edu"
] | chandan_singh@berkeley.edu |
3f5b0a2477d0db12851f351f7537189440c1b853 | 4731f08d4a56ea33d7031d1b2aeed11859c5d722 | /google-dev-python/rest/copyspecial.py | 58513cf9f0a8d8f5f0e618d7c2d4b308ad7c7576 | [] | no_license | cshintov/python | 720bdecf30712e472b05a33efa08374e3b7baac9 | 995d07d15e3a709d771b4b1a38356c1f186c13e9 | refs/heads/master | 2021-01-23T06:54:45.302136 | 2015-09-23T16:59:31 | 2015-09-23T16:59:31 | 31,851,452 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,442 | py | #!/usr/bin/python
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
import sys
import re
import os
import shutil
import commands
"""Copy Special exercise
"""
#... | [
"cshintov@gmail.com"
] | cshintov@gmail.com |
0f7cc766f64807ae4e1540145b07693fd5704b3d | 041a7a021537af4abaa1a6799da8de5b2bd9bfe8 | /01_Jump_to_Python/Chap03/131_2.py | 72e2dbe9dcb80d21f42400fbd2d33e6d7979b78b | [] | no_license | webmia/Bigdata | 8fbdbb988a5b7eb72d429f5c65735ba4a5503294 | 22f7135f311dc95c2d7677f2f2902cf3968c2ce9 | refs/heads/master | 2020-03-15T09:27:22.668735 | 2018-05-04T02:42:15 | 2018-05-04T02:42:15 | 132,075,187 | 0 | 0 | null | null | null | null | UHC | Python | false | false | 475 | py | #coding: cp949
my_data=[1,1,1,4,2,4,4,6,8,6,8]
print(my_data)
unique_data=set(my_data)
print(unique_data)
for element in unique_data:
print(element)
t_data=(1,4,5,3,77)
for element in t_data:
print(element)
str_data="Hello world"
for element in str_data:
print(element)
dic_data = {"이름":"박가은",
"나... | [
"USER@test.com"
] | USER@test.com |
1c25cdbb08aec5cbd191e105438e0cf01d5a7c63 | d7ad696cd1b550bb41d20f87b83c984ec7f19aa7 | /atcoder/python/beginner/abc242/B/main.py | 82ffdc9e2d174acb7d9af10b83050edfc1184d29 | [] | no_license | mida-hub/hobby | 2947d10da7964d945e63d57b549c1dcb90ef7305 | 6e6f381e59fc2b0429fab36474d867aa3855af77 | refs/heads/master | 2022-12-21T23:33:14.857931 | 2022-12-19T16:30:34 | 2022-12-19T16:30:34 | 147,890,434 | 0 | 0 | null | 2021-03-20T04:31:58 | 2018-09-08T01:31:59 | Jupyter Notebook | UTF-8 | Python | false | false | 521 | py | #!/usr/bin/env python3
import sys
def solve(S: str):
print(''.join(sorted(list(S))))
return
# Generated by 2.12.0 https://github.com/kyuridenamida/atcoder-tools (tips: You use the default template now. You can remove this line by using your custom template)
def main():
def iterate_tokens():
for... | [
"rusuden0106@gmail.com"
] | rusuden0106@gmail.com |
7642875fdf14af91fc099130c8f414e12d6c416f | 936a8929956eb82b08c8f48c9bf2e7fb621412df | /tf_load_images.py | da2cb7677ce585dbb7b77194efd0638e32cc1205 | [] | no_license | chenxu0602/TensorFlow2.0 | 3871b9b0cd391ca65938da7d3409e4667acb929c | c13742750ad09d8ec26fabe32578d27c927701a8 | refs/heads/master | 2021-07-12T11:10:08.665940 | 2021-02-27T09:21:29 | 2021-02-27T09:21:29 | 237,641,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,182 | py | import numpy as np
import os
import PIL
import PIL.Image
import tensorflow as tf
import tensorflow_datasets as tfds
print(tf.__version__)
from pathlib import Path
dataset_url = "https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz"
data_dir = tf.keras.utils.get_file(origin=dataset_u... | [
"chenxu@Chens-iMac.local"
] | chenxu@Chens-iMac.local |
d0703b9ce59cd95e14be57be8347ed11f1034d6c | 2ed82968a60f7b2ef7ca70ff000e2098a853de75 | /customized class/Bookclassbased/Books/models.py | 7c0dcf8d059d35dd5c9266e120fa03ae72523e9f | [] | no_license | mariachacko93/DjangoProjectsFull | 9d4fd79b51166fe10d322757dbba96feb68fdde1 | 5c4dbd142a553b761e660e237a40572d610b97cc | refs/heads/master | 2023-02-28T01:57:25.578004 | 2021-02-04T10:05:34 | 2021-02-04T10:05:34 | 335,884,831 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 293 | py | from django.db import models
# Create your models here.
class Books(models.Model):
book_name=models.CharField(max_length=120)
pages=models.IntegerField()
price=models.IntegerField()
author=models.CharField(max_length=120)
def __str__(self):
return self.book_name | [
"mariachacko93@gmail.com"
] | mariachacko93@gmail.com |
b20a10504c845f3e93d6fca2120a7c94da6edee6 | 1d928c3f90d4a0a9a3919a804597aa0a4aab19a3 | /python/Mailpile/2015/8/html_magic.py | fe5e4480c4f9db54ba730a6dd0b83408748066f1 | [] | no_license | rosoareslv/SED99 | d8b2ff5811e7f0ffc59be066a5a0349a92cbb845 | a062c118f12b93172e31e8ca115ce3f871b64461 | refs/heads/main | 2023-02-22T21:59:02.703005 | 2021-01-28T19:40:51 | 2021-01-28T19:40:51 | 306,497,459 | 1 | 1 | null | 2020-11-24T20:56:18 | 2020-10-23T01:18:07 | null | UTF-8 | Python | false | false | 4,383 | py | # This plugin generates Javascript, HTML or CSS fragments based on the
# current theme, skin and active plugins.
#
import mailpile.config
from mailpile.commands import Command, RenderPage
from mailpile.i18n import gettext as _
from mailpile.i18n import ngettext as _n
from mailpile.plugins import PluginManager
from mail... | [
"rodrigosoaresilva@gmail.com"
] | rodrigosoaresilva@gmail.com |
dd22e59f7eee2edd60e53575f35c61c4cd566253 | 84e1e3c5b44a599cd89ab592c0bd4f623bb8dbf0 | /tests/test_manifolds.py | d0884d139cf57a578c953e22890fdcce4df32140 | [
"MIT",
"X11-distribute-modifications-variant"
] | permissive | oaxiom/glbase3 | 053d548e0c89e3ff6afba3e2a22a09c8cf3b81e5 | a1e35eba86fb62b336d559c0b8c0015f38426781 | refs/heads/master | 2023-07-11T08:21:10.096623 | 2023-07-07T10:06:35 | 2023-07-07T10:06:35 | 125,803,860 | 12 | 2 | MIT | 2023-07-06T22:16:29 | 2018-03-19T05:03:46 | Python | UTF-8 | Python | false | false | 3,198 | py | """
manifolds tester code.
Part of glbase3
Tests for the various manifolds
"""
import unittest
# get glbase
import sys, os, math
sys.path.append(os.path.realpath("../../"))
import glbase3 as gl
def fq_eq(a, b, eps=0.000001):
return abs(math.log(abs(a)) - math.log(abs(b))) <= eps
class Test_Manifold(unittes... | [
"oaxiom@gmail.com"
] | oaxiom@gmail.com |
b3ce04e610ea0659b6a80eab6724381fe7860097 | 70263abbb3c7efabf4039f5861e4d417926c13af | /nova/nova/manager.py | a7b67cfa7cc0b8baec2710e21dd52ca99845c9f6 | [
"Apache-2.0"
] | permissive | bopopescu/keystone_hierarchical_projects | 9b272be1e3069a8ad1875103a1b7231257c90d9c | bf5cbb2e1c58dae17e77c2ec32ed171ec3104725 | refs/heads/master | 2022-11-21T04:33:35.089778 | 2014-02-24T19:23:47 | 2014-02-24T19:23:47 | 282,174,859 | 0 | 0 | null | 2020-07-24T09:12:32 | 2020-07-24T09:12:31 | null | UTF-8 | Python | false | false | 4,210 | py | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compli... | [
"tellesnobrega@gmail.com"
] | tellesnobrega@gmail.com |
c235d132122f248b7e8ab02f80721c18a4dfcb8c | b715549ade0932ecfd0d9748bd8b1cd4e8493d04 | /Datasets/Vectors/global_power_plant_database.py | 84049f40364e9243491d553419bfa420d2ed1006 | [
"MIT"
] | permissive | donverone/earthengine-py-notebooks | 05326b052551f2e3ad2eee8fb12c1a825a6eb5f5 | 99fbc4abd1fb6ba41e3d8a55f8911217353a3237 | refs/heads/master | 2023-05-07T00:28:36.722332 | 2021-03-16T15:04:57 | 2021-03-16T15:04:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,012 | py | # %%
"""
<table class="ee-notebook-buttons" align="left">
<td><a target="_blank" href="https://github.com/giswqs/earthengine-py-notebooks/tree/master/Datasets/Vectors/global_power_plant_database.ipynb"><img width=32px src="https://www.tensorflow.org/images/GitHub-Mark-32px.png" /> View source on GitHub</a></td>
... | [
"giswqs@gmail.com"
] | giswqs@gmail.com |
737c3a4f1b4e938b4456d1d1192ad31270dbff68 | 3af9b6f42339603616b7327bed21a8bd669bc293 | /get_tweets_followers.py | ce8c03b4da2647bc4a377778dfe9b3f949ff187f | [] | no_license | gtatiya/Twitter-Hashtags-Polarity | d7a2fd760c2c9f813b313f76b5c625726c23ff0b | 58b67c33f085f402459898934c045e31f186f270 | refs/heads/master | 2020-11-30T22:32:15.380578 | 2019-12-28T16:38:06 | 2019-12-28T16:38:06 | 230,497,483 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,296 | py | import socket
import sys
import requests_oauthlib
import json
import tweepy
def show_tweet(tweet):
try:
return ' '.join([tweet.created_at.strftime("%m/%d/%Y, %H:%M:%S"),
tweet.user.screen_name,
tweet.text])
except:
return '************************ bad or no tweet!*************... | [
"gtatiya@live.com"
] | gtatiya@live.com |
71442dcfee6d819bc5eb2560bbee5313f9f82293 | ba60d3ccf11157abaf6c7bcf3a81aace27c6af88 | /spoj/pwrarr.py | 5e0c8824b453ee8607fa8e92d23a0900714fd4aa | [] | no_license | eightnoteight/compro | 9a09628593cdd3201f4d3bcf271f1ca6a4e5efca | 1e5d32ee83e9d8f27623dee7262decad3d107bd5 | refs/heads/master | 2021-01-21T04:19:02.746824 | 2016-08-01T20:51:16 | 2016-08-01T20:51:16 | 44,669,361 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 366 | py | from sys import stdin
from itertools import groupby
def main():
nextint = iter(map(int, stdin.read().split())).next
for _ in xrange(nextint()):
s = 0
psum = 0
for _, it in groupby(sorted([nextint() for _ in xrange(nextint())])):
k = len(list(it))
s += k
... | [
"mr.eightnoteight@gmail.com"
] | mr.eightnoteight@gmail.com |
7af933a1022a1f5fbf74fc9a32a3bf24ac368492 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /PyTorch/built-in/cv/pose_estimation/HRNet_MMPose_for_PyTorch/configs/face/2d_kpt_sview_rgb_img/topdown_heatmap/aflw/hrnetv2_w18_aflw_256x256.py | 072796fdae7b47cef8a78db994c7e5f384f5baf4 | [
"GPL-1.0-or-later",
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-generic-cla",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | Ascend/ModelZoo-PyTorch | 4c89414b9e2582cef9926d4670108a090c839d2d | 92acc188d3a0f634de58463b6676e70df83ef808 | refs/heads/master | 2023-07-19T12:40:00.512853 | 2023-07-17T02:48:18 | 2023-07-17T02:48:18 | 483,502,469 | 23 | 6 | Apache-2.0 | 2022-10-15T09:29:12 | 2022-04-20T04:11:18 | Python | UTF-8 | Python | false | false | 4,880 | py | _base_ = [
'../../../../_base_/default_runtime.py',
'../../../../_base_/datasets/aflw.py'
]
checkpoint_config = dict(interval=1)
evaluation = dict(interval=1, metric=['NME'], save_best='NME')
optimizer = dict(
type='Adam',
lr=2e-3,
)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config =... | [
"zhangjunyi8@huawei.com"
] | zhangjunyi8@huawei.com |
539221ab08c5d86de43720acf3b20f99a924bb3a | a3bb911570c0eb1b545a0012841430bb13703069 | /0_getjson.py | 24b023529159470aa36a297d98ed6a5f4aa3efe7 | [] | no_license | koryako/changeface | 7d786427474c62e8d58463ef881a17cfb3dffd3e | a327a043832ec478629caadfb2a9da218c8ab9c5 | refs/heads/master | 2021-05-01T14:30:55.844176 | 2018-02-12T06:44:39 | 2018-02-12T06:44:39 | 121,087,695 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,212 | py | import sys
sys.path.append('./face_swap')
from PIL import Image,ImageDraw
import imageio
import cv2
import argparse
import cv2
import dlib
import json
import numpy
import skimage
from pathlib import Path
from tqdm import tqdm
from umeyama import umeyama
from face_alignment import FaceAlignment, Landma... | [
"daijie@kuaikuaidai.com"
] | daijie@kuaikuaidai.com |
e1a25eb1ffd0afcb7aa1b5e81918a542c6522970 | 1676168244eed1c5610b2c1c38f692f89990b112 | /part3-python/Bigdata/Code11-01 리뷰 DB연동.py | 62ca0338c858e715a3b5a59904bd85d64e9797d1 | [] | no_license | gtpgg1013/AI_docs | 351e83f986d66224c82fff2de944753c98336d03 | 43f8eed8b2732314bd40ed65e1d7eb44dd28fc04 | refs/heads/master | 2022-12-09T17:32:02.992554 | 2019-11-20T09:03:56 | 2019-11-20T09:03:56 | 182,927,565 | 1 | 0 | null | 2022-12-08T06:50:23 | 2019-04-23T03:54:56 | Jupyter Notebook | UTF-8 | Python | false | false | 408 | py | import pymysql
# DB config
IP_ADDR = '192.168.56.106'; USER_NAME = 'root'; USER_PASS = '1234'
DB_NAME = 'BigData_DB'; CHAR_SET = 'utf8'
con = pymysql.connect(host=IP,user=USER_NAME,password=USER_PASS,db=DB_NAME, charset=CHAR_SET)
cur = con.cursor()
sql = "INSERT INTO emp_tbl (emp_id, emp_name, emp_pay)"
sql += "VALU... | [
"gtpgg1013@gmail.com"
] | gtpgg1013@gmail.com |
4519f7cc9d9773409a1b7b68ffada3e601a2a84b | a51b1814a9bf2fdcf880772fefaa2ab79e8c7308 | /codewars/TV-Remote.py | de41442361589b272fa792b877d1c2c34b203202 | [] | no_license | 369geofreeman/MITx_6.00.1x | d38913805168440969034e1d82611b0dbcd7a29a | ba84f70cc4e7cfbd4b685b742aa87d3f85cbbf59 | refs/heads/master | 2023-04-21T01:55:08.538290 | 2021-05-13T13:03:50 | 2021-05-13T13:03:50 | 282,055,845 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,787 | py | # TV Remote
# Background
# My TV remote control has arrow buttons and an OK button.
#
# I can use these to move a "cursor" on a logical screen keyboard to type "words"...
#
# The screen "keyboard" layout looks like this
#
# a b c d e 1 2 3
# f g h i j 4 5 6
# k l m n o 7 8 9
# p q r s t . @ 0
# u v w x y z _ /... | [
"geofreeman369@gmail.com"
] | geofreeman369@gmail.com |
514b52d8c2be79efed0358a86ac9b2f7d0c04027 | 0693c9aeb907b9c0a61b4287d604a4e1fe56f153 | /albumy/extensions.py | bab05eb08a0e0f9ff59380c77d58ad2902af6ec9 | [
"MIT"
] | permissive | xichagui/albumy | 0f1cbf7b5466049e7d486198312d7e87394a1e4a | 319a0bc74d25f130e21746ee03ab04c291a7e032 | refs/heads/master | 2020-07-24T19:11:13.736712 | 2018-08-05T02:23:27 | 2018-08-05T02:23:27 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | # -*- coding: utf-8 -*-
"""
:author: Grey Li (李辉)
:url: http://greyli.com
:copyright: © 2018 Grey Li <withlihui@gmail.com>
:license: MIT, see LICENSE for more details.
"""
from flask_bootstrap import Bootstrap
from flask_mail import Mail
from flask_moment import Moment
from flask_sqlalchemy import SQLAl... | [
"withlihui@gmail.com"
] | withlihui@gmail.com |
bc55a623027f28cba4f3f6c91fdb124c02d9ffcc | e2cd4f444b18adca671ae2ac8856594b22c6d2ae | /arc/migrations/0046_register_empid.py | 90ee3efd4e5e8f33c15b12b2adab79a780c9b20c | [] | no_license | anshumanairy/Sprint-Management | 36c54c03b66a0d02071a337e8217144a0b0c9578 | 0c4e8fe87ec4099253d894b7876f0b5b914a2652 | refs/heads/master | 2022-12-28T02:46:25.847713 | 2020-10-02T10:02:13 | 2020-10-02T10:02:13 | 195,804,893 | 0 | 0 | null | 2020-10-02T10:02:14 | 2019-07-08T12:11:27 | CSS | UTF-8 | Python | false | false | 412 | py | # Generated by Django 2.2 on 2019-07-31 14:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('arc', '0045_delete_upload'),
]
operations = [
migrations.AddField(
model_name='register',
name='empid',
fi... | [
"anshuman.airy04@gmail.com"
] | anshuman.airy04@gmail.com |
43a7f9be2096f2712a6f3bc0e0f949f5c333662f | 4d6975caece0acdc793a41e8bc6d700d8c2fec9a | /leetcode/720.longestWordInDictionary/720.longestWordInDictionary.py | 3a13bff3c2cad6295c9a48aeeadf39aa3cf15a62 | [] | no_license | guiconti/workout | 36a3923f2381d6e7023e127100409b3a2e7e4ccb | 5162d14cd64b720351eb30161283e8727cfcf376 | refs/heads/master | 2021-08-03T10:32:02.108714 | 2021-07-26T04:38:14 | 2021-07-26T04:38:14 | 221,025,113 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,472 | py | # 720. Longest Word in Dictionary
# Easy
# 462
# 568
# Add to List
# Share
# Given a list of strings words representing an English Dictionary, find the longest word in words that can be built one character at a time by other words in words. If there is more than one possible answer, return the longest word with the... | [
"guibasconti@gmail.com"
] | guibasconti@gmail.com |
0963cb30f00377c442cdab168a91b8809aafe635 | 57d059d12fda1f58802fbac0d75849fd87268fba | /damm/urls.py | 93d4a68034172f40f0ad1ba1d41b58f662deeb36 | [] | no_license | stephenmcd/sydjango-damm | 11be9b63c4d56b97046445614a7f1752fdad9f30 | 1518b5b47ede4dfc251805a873d7bf2c089eaa3a | refs/heads/master | 2016-09-03T07:33:51.260407 | 2012-11-17T23:00:21 | 2012-11-17T23:00:21 | 6,393,537 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 186 | py |
from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
url(r'^admin/', include(admin.site.urls)),
)
| [
"steve@jupo.org"
] | steve@jupo.org |
09278782caa33dc5c7a127a544733a62b937c4a8 | 4ba9a6274d78ff47bc00920be790b62390fc8f42 | /63不同路径II.py | 4daa69df0585bd73cf73d773e2536339000e470d | [] | no_license | wzwhit/leetcode | 02b04f9f354de321a32d8e5b93f20a527100cca5 | e732ee7e99a015a0d124677ab73fb58fc8e64b59 | refs/heads/master | 2020-04-26T03:02:06.380171 | 2019-08-23T04:04:42 | 2019-08-23T04:04:42 | 173,253,697 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,749 | py | # 一个机器人位于一个 m x n 网格的左上角 （起始点在下图中标记为“Start” ）。
# 机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角（在下图中标记为“Finish”）。
# 现在考虑网格中有障碍物。那么从左上角到右下角将会有多少条不同的路径？
# 网格中的障碍物和空位置分别用 1 和 0 来表示。
# 说明：m 和 n 的值均不超过 100。
# 示例 1:
# 输入:
# [
# [0,0,0],
# [0,1,0],
# [0,0,0]
# ]
# 输出: 2
# 解释:
# 3x3 网格的正中间有一个障碍物。
# 从左上角到右下角一共有 2 条不同的路径：... | [
"1064951590@qq.com"
] | 1064951590@qq.com |
90c55fd54630e87d34e89686ec5c995243c1a813 | f1b910a646fe12bb92eacbb875e04ebda0755d80 | /dfs/FinalStatePatternListener.py | 80a006975bad342dba53d2f3cdf1d365361402ed | [
"MIT"
] | permissive | charlesvardeman/DFSParserExperiments | de0cce3480ff7eae32a74dbf1f51b07c97c77540 | 9c8a9c7754d9d9fad8ea250e20a6507a6a951e4e | refs/heads/master | 2021-01-01T05:01:25.281824 | 2016-05-24T20:51:16 | 2016-05-24T20:51:16 | 59,607,937 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,227 | py | # Generated from FinalStatePattern.g4 by ANTLR 4.5.2
from antlr4 import *
# This class defines a complete listener for a parse tree produced by FinalStatePatternParser.
class FinalStatePatternListener(ParseTreeListener):
# Enter a parse tree produced by FinalStatePatternParser#top_level.
def enterTop_level(se... | [
"charles.vardeman@gmail.com"
] | charles.vardeman@gmail.com |
aa81f8e635befbe257d714ed22cfec5d3b172fc0 | 9be2d4717f74ea8373e85427ce00c516724b0c96 | /python project/Day13 - 类和对象/tj_08_homework.py | d400aef3e11b6c123c2eefa7ad8238a86e07378d | [] | no_license | chongjing001/Python-Basis | cad380fde4b0ba2e731494ef1423a07b34b171de | 6a29a4bd31df9160b842be7288fe098bbd42b433 | refs/heads/master | 2020-04-12T10:01:11.952917 | 2019-03-30T07:13:04 | 2019-03-30T07:13:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,684 | py | """
1.声明⼀个电脑类: 属性:品牌、颜⾊、内存⼤小 方法:打游戏、写代码、看视频
a.创建电脑类的对象，然后通过对象点的方式获取、修改、添加和删除它的属性
b.通过attr相关方法去获取、修改、添加和删除它的属性
"""
class Computer:
def __init__(self, brand, color, storage):
self.brand = brand
self.color = color
self.storage = storage
def play_game(self):
return "玩游戏"
def ... | [
"635629424@qq.com"
] | 635629424@qq.com |
e25a006bab5db38d63d470256f5af54a8414d53d | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_210/ch169_2020_06_10_23_59_34_008172.py | 17091a0a098399fba0901cda3f14dc9d126937e0 | [] | no_license | gabriellaec/desoft-analise-exercicios | b77c6999424c5ce7e44086a12589a0ad43d6adca | 01940ab0897aa6005764fc220b900e4d6161d36b | refs/heads/main | 2023-01-31T17:19:42.050628 | 2020-12-16T05:21:31 | 2020-12-16T05:21:31 | 306,735,108 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 372 | py | def login_disponivel(login, lista_logins):
cont = 1
login_ok = login
while login_ok in lista_logins:
login_ok = login
login_ok += str(cont)
cont += 1
return login_ok
inp = input()
lista = []
while inp != "fim":
login = login_disponivel(inp, lista)
lista.append(login)
... | [
"you@example.com"
] | you@example.com |
0ae49fdfe2235c942eb5d314dff051c387ebc0db | ec760cb774a45a12d40529036b7fca3dd589223c | /services/TS29222_CAPIF_Events_API/capif_events/models/websock_notif_config.py | 9a7c40bf246d840b7714b335f9db2d0d306dece8 | [
"Apache-2.0"
] | permissive | EVOLVED-5G/CAPIF_API_Services | e4d7f8c7fc9a69aa364787471c5bd54d51fd1cb8 | c907c68d54adf3e3ad7be15ac6707b8c64a1b778 | refs/heads/develop | 2023-07-29T09:31:23.176795 | 2023-05-31T12:56:33 | 2023-05-31T12:56:33 | 416,657,882 | 15 | 5 | Apache-2.0 | 2023-09-04T12:01:57 | 2021-10-13T08:46:52 | Python | UTF-8 | Python | false | false | 3,120 | py | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from capif_events.models.base_model_ import Model
from capif_events import util
class WebsockNotifConfig(Model):
"""NOTE: This class is auto generated by OpenAPI ... | [
"jorge.moratinossalcines@telefonica.com"
] | jorge.moratinossalcines@telefonica.com |
dc5f300a6ae71ae79e2a1ea24f54237079802424 | db2fb3ffdafe1a94327c3c22c1934253f2fc5c48 | /ifloop.py | a2273f3566efa766c0812f9bd0638b5920f996ea | [] | no_license | SSITB/CorePython | d2ae0de6cace8e3b328d91d8bf1d0e0000f9ec9f | fe17d1358a973df8a04a1806e5d4c57758ac8a78 | refs/heads/master | 2022-01-27T12:43:54.917203 | 2019-07-18T11:48:15 | 2019-07-18T11:48:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,126 | py | ##LOOP
##For loop
# for i in range(10):
# for j in range(i):
# print('*',end = ' ')
# print()
/
for i in range(10):
for j in range(i):
print("$",end='ku')
print()
# maths = int(input('Enter your Maths marks'))
# sci = int(input('Enter your Science marks'))
# SS = int(input('Enter you... | [
"kushalbhavsar58@gmail.com"
] | kushalbhavsar58@gmail.com |
016e447638e9c8d65d492f45cddf7ffa18c92339 | 94becda0e99eb1bf23f2649d63a6a2af0f631e33 | /unet3d/model/bak/non_local.py | 84ca5554cf611bbf6b40170ad837ca05f880fce6 | [
"MIT"
] | permissive | guusgrimbergen/3DUnetCNN_BRATS | d560a878dfbe7dfe95ca5a37c8b066199300d276 | 1c4ad386b66c550770adc8c9e7371c1ce476db94 | refs/heads/master | 2022-01-08T13:37:05.253386 | 2019-06-17T13:10:59 | 2019-06-17T13:10:59 | 185,376,310 | 0 | 0 | null | 2019-05-07T10:07:33 | 2019-05-07T10:07:32 | null | UTF-8 | Python | false | false | 5,668 | py | from keras.layers import Activation, Reshape, Lambda, dot, add
from keras.layers import Conv1D, Conv2D, Conv3D
from keras.layers import MaxPool1D
from keras import backend as K
def non_local_block(ip, intermediate_dim=None, compression=2,
mode='embedded', add_residual=True):
"""
Adds a Non... | [
"minhmanutd@gmail.com"
] | minhmanutd@gmail.com |
05bc8775e1f427765763beabb9c7cf075889f058 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2869/60594/265425.py | b0ddfabf1268f6666a70e59b0d32abb54a0c751b | [] | 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 | 330 | py | n=(int)(input())
num=[int(n) for n in input().split()]
xt=[]
for index in range(n):
cunzai=False
for i in xt:
if num[n-1-index]==i:
cunzai=True
if not cunzai:
xt.insert(0,num[n-1-index])
print(len(xt))
for index in range(len(xt)-1):
print(str(xt[index])+" ",end='')
print(xt[l... | [
"1069583789@qq.com"
] | 1069583789@qq.com |
48cb0c2abf97bce405fb0c2daba0febba80cbb14 | fbcc650dceb75aedc4b23a7709167236481d640f | /eventex/subscriptions/tests/test_view_detail.py | dd3d5aa945b09d3a85d792dd525ee61ad30e1500 | [] | no_license | sembug/wttd-eventex | 09135f95666a6ee19baee06755b9e81a1e9eda9f | 83416d270be23666e802a6c3b5225daa2597fd0a | refs/heads/master | 2021-01-16T22:15:15.354594 | 2016-02-19T01:32:38 | 2016-02-19T01:32:38 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,379 | py | from django.shortcuts import resolve_url
from django.test import TestCase
from eventex.subscriptions.models import Subscription
class SubscriptionDetailGet(TestCase):
def setUp(self):
self.obj = Subscription.objects.create(name='Harry Potter',
email='harryp... | [
"cuducos@gmail.com"
] | cuducos@gmail.com |
5f85a089191541b97160e689c6e12ba04bbe45bb | 97a4d29863d1ce96f366554fdd985c3ce580bb5d | /077.py | 6a8728dcdc932214b11ba9dba10bb7db085ef7f0 | [] | no_license | Everfighting/Python-Algorithms | 5c3a102fed3a29858f3112d657c69e077efc7e28 | 235e9b4c66602035be39a8d3b3ad9cf016aebbb9 | refs/heads/master | 2021-01-20T22:19:18.902687 | 2018-03-02T05:38:27 | 2018-03-02T05:38:27 | 61,302,323 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 162 | py | #!/usr/bin/python
# -*- coding: UTF-8 -*-
if __name__ == '__main__':
s = ["man","woman","girl","boy","sister"]
for i in range(len(s)):
print s[i] | [
"cbb903601682@163.com"
] | cbb903601682@163.com |
6379c8a6184384ccd10a104529bbd9e8753c6fa1 | 8d834944c9d2689ba2786d5ace863426d30ab3cf | /venv/bin/mturk | c2472dc306c7ca2a340f6db7a48bcf2831379271 | [] | no_license | bopopescu/zurc2_dance | 4a0bc584aad46a314ed600d92d296f4b83c5a036 | 3b3f94c092004d73c021c3ec4717b10c5245a9a8 | refs/heads/master | 2022-11-25T07:05:08.888372 | 2013-09-30T19:59:55 | 2013-09-30T19:59:55 | 282,521,428 | 0 | 0 | null | 2020-07-25T20:39:50 | 2020-07-25T20:39:49 | null | UTF-8 | Python | false | false | 197 | #!/home/luizcruz/projects/zurczdance/venv/bin/python
# EASY-INSTALL-SCRIPT: 'boto==2.9.9','mturk'
__requires__ = 'boto==2.9.9'
import pkg_resources
pkg_resources.run_script('boto==2.9.9', 'mturk')
| [
"luizfabiodacruz@gmail.com"
] | luizfabiodacruz@gmail.com | |
f3b1f23622b9d79a77be6020a0e6449cd9b557ca | 13a82b9daf2f050c8c76636df0ba37d9092f3795 | /E01_python3/0302_requests/0206_prepared_request.py | 53ee9574eb2fe6336df3381cc460a528e446d520 | [] | no_license | Vincent105/1st-PyCrawlerMarathon | 68c9d11aa90e0b8884a3a00c057d6e8bf255b277 | d66e19b2bacccd1c0c2535f50aee0309c2fe3880 | refs/heads/master | 2022-12-12T17:35:31.174585 | 2021-01-21T09:47:16 | 2021-01-21T09:47:16 | 223,867,991 | 0 | 2 | null | 2022-12-08T07:46:44 | 2019-11-25T05:26:16 | Jupyter Notebook | UTF-8 | Python | false | false | 570 | py | from requests import Request,Session
url = 'http://httpbin.org/post'
data = {
'name':'germey'
}
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'
}
s = Session()
req = Request('POST',url,data=data,headers=headers)... | [
"vincent1050917@gmail.com"
] | vincent1050917@gmail.com |
cb2d95a406956cddb514855ef05c051cc768da3b | 5963c12367490ffc01c9905c028d1d5480078dec | /homeassistant/components/hunterdouglas_powerview/sensor.py | d66671fe1ea3130d45047beebace33074a661152 | [
"Apache-2.0"
] | permissive | BenWoodford/home-assistant | eb03f73165d11935e8d6a9756272014267d7d66a | 2fee32fce03bc49e86cf2e7b741a15621a97cce5 | refs/heads/dev | 2023-03-05T06:13:30.354545 | 2021-07-18T09:51:53 | 2021-07-18T09:51:53 | 117,122,037 | 11 | 6 | Apache-2.0 | 2023-02-22T06:16:51 | 2018-01-11T16:10:19 | Python | UTF-8 | Python | false | false | 2,672 | py | """Support for hunterdouglass_powerview sensors."""
from aiopvapi.resources.shade import factory as PvShade
from homeassistant.components.sensor import SensorEntity
from homeassistant.const import DEVICE_CLASS_BATTERY, PERCENTAGE
from homeassistant.core import callback
from .const import (
COORDINATOR,
DEVICE... | [
"noreply@github.com"
] | BenWoodford.noreply@github.com |
a56ab4e1101247084b45943d3cc75eaf980d4476 | b4ca78134c296d8e03c39496bcc57369fd5f619b | /kubehub/vbox_api/vbox_functions/vbox_set_ram_size.py | 9cda921275ad2aeb718ba217ffbad82b4f2e229d | [] | no_license | dedicatted/kubehub-backend | 7f4b57033962f1ef8604a2cee0cf55bebd533ec9 | 3b944e462f5366b2dbad55063f325e4aa1b19b0e | refs/heads/master | 2023-02-05T04:44:50.213133 | 2020-06-10T15:02:03 | 2020-06-10T15:02:03 | 236,169,121 | 1 | 1 | null | 2023-01-24T23:19:38 | 2020-01-25T12:45:32 | Python | UTF-8 | Python | false | false | 375 | py | from os import system
def set_ram_size(name, ram_size):
ram_size_mb = int(ram_size) * 1024
vbox_set_ram_size_cmd = f'VBoxManage ' \
f'modifyvm {name} ' \
f'--memory {ram_size_mb} ' \
f'--vram 128'
vbox_set_ram_size = syst... | [
"noreply@github.com"
] | dedicatted.noreply@github.com |
7e580a1fbdc72cb6cb7491b48af6ce29c2e10472 | 350873b97f470488678d5d24e595737f0fc3ced2 | /core/migrations/0031_auto_20170301_1220.py | 24a9b6a6c9196c97c8cd49b4c49c74b35e69ff7a | [] | no_license | Scaledesk/ase | a2435745f7fbae252eb7af30223d4d59e1070817 | 891b8d5945b554ae5666c146eca342d649d48ae7 | refs/heads/master | 2021-01-22T20:26:14.603745 | 2017-05-16T10:14:22 | 2017-05-16T10:14:22 | 85,322,355 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 688 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2017-03-01 12:20
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0030_project_projectname'),
]
operations = [
... | [
"nkscoder@gmail.com"
] | nkscoder@gmail.com |
aca28879338aadc44966d770863d903d66c63162 | b284d59bdf2c01977eb6d80795e2c75cb95b9b2c | /docs/conf.py | e99c73988670737dc5d91028bdb42372399c8c45 | [
"MIT"
] | permissive | CoutinhoElias/danibraz | 58d27cb30661d06091196cc487a9d902f4f8dac9 | b21f3ce3477ded74c901fa377a5b2ac5e68faf36 | refs/heads/master | 2021-01-20T02:12:30.096953 | 2018-04-01T15:52:40 | 2018-04-01T15:52:40 | 89,386,992 | 0 | 1 | MIT | 2017-12-01T16:52:47 | 2017-04-25T17:14:27 | JavaScript | UTF-8 | Python | false | false | 7,798 | py | # Dani Braz documentation build configuration file, created by
# sphinx-quickstart.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that ar... | [
"coutinho.elias@gmail.com"
] | coutinho.elias@gmail.com |
230a0fd6e9ae73d01699b39549cadbdfc4ee219c | 78c0a441742a4451fcca2d304d30bd21ce2b2dbd | /src/l1_7_lgb_4.py | 81a518d18424f744c214cecc631d8b62137a95a2 | [] | no_license | ivan-filonov/mlbootcamp_5 | c7aa7506a6d929a055f89c9129584f0df71490c1 | b3b06eb91c1cbc81fea68fb1724197513a19b07a | refs/heads/master | 2023-08-19T06:58:05.099722 | 2019-08-22T11:25:30 | 2019-08-22T11:25:30 | 97,398,154 | 4 | 1 | null | 2023-08-28T17:18:16 | 2017-07-16T17:08:06 | Python | UTF-8 | Python | false | false | 581 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import model_base_ho_lgb
import data_clean_1 as data
#import features_text_2 as fea_1
import features_kmeans_2 as fea_2
import features_wa_4 as fea_3
class model(model_base_ho_lgb.LgbModelBase):
def __init__(self):
name = 'l1_7_lgb_4'
debug = False
... | [
"ivan.filonov@gmail.com"
] | ivan.filonov@gmail.com |
cd8904c38ec4f94118e81f35697c3f5a9b2976ba | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02682/s156139297.py | b0d4f8960502ca04a060454391fb87d33ee3e20b | [] | 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 | 176 | py |
a,b,c,k = map(int,input().split())
ans = min(a,k)
k -= ans
if k == 0:
print(ans)
exit(0)
k -= min(b,k)
if k == 0:
print(ans)
exit(0)
ans -= min(c,k)
print(ans) | [
"66529651+Aastha2104@users.noreply.github.com"
] | 66529651+Aastha2104@users.noreply.github.com |
d74b53c8194884095a424e12fff32ad21ef22052 | 55c8fd9ce0c5bb147cbdb69274873b93b35356fc | /pathGeneration-v2/Analysis/code-v2/data/dataProcess_main.py | d9bc53cdbd9ccda05b6b8c6826cd9a2e38026651 | [] | no_license | WOW5678/pathGeneration | b4143bbbc2be686ee011d24af46d57d2cee88f06 | 88f31b4f30750307fa7f5072e7faa2f959a6d0c0 | refs/heads/master | 2020-08-06T17:46:22.075128 | 2019-11-15T12:38:07 | 2019-11-15T12:38:07 | 213,097,008 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,784 | py | # -*- coding:utf-8 -*-
"""
@Time: 2019/06/17 21:37
@Author: Shanshan Wang
@Version: Python 3.7
@Function: 数据预处理的主文件
"""
# --*- coding:utf-8 -*-
import sys
import numpy as np
import pandas as pd
from collections import Counter,defaultdict
import csv
import math
import operator
from get_discharge_summari... | [
"noreply@github.com"
] | WOW5678.noreply@github.com |
0510513265114689d36cabf25f566ba6d8f05b71 | a69ca52f16f3e91b68334d60edfdd1fe9adfe106 | /二叉树/二叉树的遍历/BFS/117. Populating Next Right Pointers in Each Node II.py | babbed44961c7ff461f35eddd72599f6e93f9274 | [] | no_license | lidongdongbuaa/leetcode2.0 | 09535e7a44ab290ab5eed14b52058a7e4a36a55f | f1bab194c2d16905baa9e4d3ff89cb3fb1f4fdb8 | refs/heads/master | 2020-09-05T00:49:21.865190 | 2020-08-20T05:59:19 | 2020-08-20T05:59:19 | 219,935,354 | 3 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,930 | py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Time : 2020/2/21 14:16
# @Author : LI Dongdong
# @FileName: 117. Populating Next Right Pointers in Each Node II.py
''''''
'''
题目分析
1.要求：Given a binary tree
struct Node {
int val;
Node *left;
Node *right;
Node *next;
}
Populate ea... | [
"lidongdongbuaa@gmail.com"
] | lidongdongbuaa@gmail.com |
b615f5014322c3d06b867c582598e385bc42a775 | cf0ab8503d4d704045070deea1e2125375711e86 | /apps/billing/appconfig.py | 11c11dc40288fc4cf7ba444daca34945b9a18014 | [] | no_license | faierbol/syncano-platform | c3c6468600115752fd9fa5e46a0ad59f75f6bc9c | 879111874d1ef70418b4890cf970720b0a2be4d8 | refs/heads/master | 2023-07-20T10:13:40.066127 | 2021-02-08T15:01:13 | 2021-02-08T15:01:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 187 | py | # coding=UTF8
from django.apps import AppConfig as _AppConfig
class AppConfig(_AppConfig):
name = 'apps.billing'
def ready(self):
from . import signal_handlers # noqa
| [
"rk@23doors.com"
] | rk@23doors.com |
4ee564ff26a6d9e9bebabed6505d17d1473bad7b | 5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d | /alipay/aop/api/response/AnttechBlockchainDefinSaasPaymentCancelResponse.py | 3b3e760b611f0079040263d16a00154fabac122a | [
"Apache-2.0"
] | permissive | alipay/alipay-sdk-python-all | 8bd20882852ffeb70a6e929038bf88ff1d1eff1c | 1fad300587c9e7e099747305ba9077d4cd7afde9 | refs/heads/master | 2023-08-27T21:35:01.778771 | 2023-08-23T07:12:26 | 2023-08-23T07:12:26 | 133,338,689 | 247 | 70 | Apache-2.0 | 2023-04-25T04:54:02 | 2018-05-14T09:40:54 | Python | UTF-8 | Python | false | false | 2,605 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
class AnttechBlockchainDefinSaasPaymentCancelResponse(AlipayResponse):
def __init__(self):
super(AnttechBlockchainDefinSaasPaymentCancelResponse, self).__init__()
self._ava... | [
"jishupei.jsp@alibaba-inc.com"
] | jishupei.jsp@alibaba-inc.com |
ebe03a1ebbe5b33a962a26d1914041d64087b8b6 | 12620eef65e2675da5102d3ce7946ca4f0404db7 | /ursina/models/procedural/cylinder.py | 9cd3b03acf306d506f64cffbaf545226aaf88463 | [] | no_license | solomonvimal/ursina | 28e4a26a71639077b6a601118604b10a75f37efd | 20555c37c579aee56c0e2e8c8cff307d8a0e4517 | refs/heads/master | 2020-06-28T02:25:11.096764 | 2019-08-01T19:55:20 | 2019-08-01T19:55:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 948 | py | from ursina import *
class Cylinder(Prismatoid):
def __init__(self, resolution=8, radius=.5, start=0, height=1, direction=(0,1,0), mode='triangle', **kwargs):
super().__init__(
base_shape=Circle(resolution=resolution, radius=.5),
origin=(0,0),
path=((0,start,0), Vec3(di... | [
"pokepetter@gmail.com"
] | pokepetter@gmail.com |
606f6fb48be89fbe5c49adf052347c3837123a68 | bd217477924d810e347ab1ded67022bb2076b2a3 | /Heap/TestCircularDoublyLinkedList.py | dd3047d85c23bb8e0d8733d14c20aaef67a4f456 | [
"MIT"
] | permissive | kopok2/DataStructures | b701a663e58b4d2dad2077f99d3ce06cbbf59da0 | d3877b542872c0be0f97306061c6ce0c3d98f1f3 | refs/heads/master | 2021-06-28T19:48:45.404826 | 2020-11-30T10:41:03 | 2020-11-30T10:41:03 | 196,040,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,279 | py | # encoding-utf-8
import unittest
from CircularDoublyLinkedList import CircularDoublyLinkedList
class TestCircularDoublyLinkedList(unittest.TestCase):
def test_simple_list(self):
cdll = CircularDoublyLinkedList(17)
cdll.insert_new_node(24)
cdll.insert_new_node(23)
cdll.insert_new_no... | [
"oleszek.karol@gmail.com"
] | oleszek.karol@gmail.com |
ce7c97ae29fb8b74bf4c9803bf5c2ed0252245d5 | 2adfa5b5125d14a9dd800946ee6ab0906fe79ed7 | /brainmap/models/specificity.py | 11d6ef21d36638fd3973540d52666898ecdbe81f | [
"MIT"
] | permissive | cabrittin/elegansbrainmap | 25f28352b5faf6f06eaa930e8cbbd0ab1d907654 | 049a26a094e085bacc70f5b05ea04a007d00eb2c | refs/heads/main | 2023-06-24T02:01:20.014968 | 2021-07-29T19:22:06 | 2021-07-29T19:22:06 | 322,699,973 | 4 | 2 | null | null | null | null | UTF-8 | Python | false | false | 4,551 | py | """
@name: specificity
@description:
Specficity and basal connectivity models
@author: Christopher Brittin
@email: "cabrittin"+ <at>+ "gmail"+ "."+ "com"
@date: 2020-March
"""
import numpy as np
from scipy.special import comb
class Model:
def __init__(self,n=5):
self.Z = np.zeros(n)
self.space = 0
... | [
"cabrittin@gmail.com"
] | cabrittin@gmail.com |
f8ed76cf51b68a829ca9cd163433eb7bdaf712bc | 7daab7f2e91d62ba0383fa050f3dea1dc9752975 | /iniciante/1097_sequencia_IJ_3.py | 7f0d0df01909254bed663107992ae50f23027440 | [] | no_license | luandadantas/URI-Python | 97ccdaa3835b2d2fa403f148969ca7e893d3f119 | 2cb67f39725b20e6fcbbeaf27d04c4ba05dba665 | refs/heads/master | 2022-12-04T02:51:14.374361 | 2020-08-14T17:59:58 | 2020-08-14T17:59:58 | 255,736,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 182 | py | a = 7
b = 6
c = 5
for I in range(1, 10, 2):
print("I={} J={}".format(I,a))
print("I={} J={}".format(I,b))
print("I={} J={}".format(I,c))
a += 2
b += 2
c += 2 | [
"ludanttas@gmail.com"
] | ludanttas@gmail.com |
4be511e2e14b066ed3506bad58a80cd8fcdc9b1a | dbaf0da3cd586223549f3d9d2b340b5fb033ee32 | /webscaff/fabric/sys/venv.py | ef12bfca2e51b72c60b76d3956943f1df2f6078b | [
"BSD-3-Clause"
] | permissive | idlesign/webscaff_legacy | 7393339f267c04a1a8ebf71d8ef64bcc9d00cdaa | 198395a00c9e0908657c86e2568a385cbc6fcb13 | refs/heads/master | 2022-02-10T00:15:42.670376 | 2019-09-29T06:06:00 | 2019-09-29T06:06:00 | 60,078,315 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 899 | py | from contextlib import contextmanager
from fabric.api import cd, prefix, task, run
from fabric.contrib.files import exists
from os import path
from ..settings import PATH_REMOTE_PROJECT_BASE
NAME_VIRTUALENV_DIR = 'venv'
PATH_VENV = path.join(PATH_REMOTE_PROJECT_BASE, NAME_VIRTUALENV_DIR)
__all__ = ['venv', 'create'... | [
"idlesign@yandex.ru"
] | idlesign@yandex.ru |
031bfa8baa730c31216daa2f92ecfecb665943fe | 7daab7f2e91d62ba0383fa050f3dea1dc9752975 | /iniciante/1114_senha_fixa.py | c0593ad5c8f8e9ce8a9215ba9e66fc0bd6f04ab7 | [] | no_license | luandadantas/URI-Python | 97ccdaa3835b2d2fa403f148969ca7e893d3f119 | 2cb67f39725b20e6fcbbeaf27d04c4ba05dba665 | refs/heads/master | 2022-12-04T02:51:14.374361 | 2020-08-14T17:59:58 | 2020-08-14T17:59:58 | 255,736,816 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 153 | py | while True:
senha = int(input())
if senha == 2002:
print("Acesso Permitido")
break
else:
print("Senha Invalida")
| [
"ludanttas@gmail.com"
] | ludanttas@gmail.com |
c0c76ea4b6fc3bd8b3fdb064c4bdb77620ec0ab4 | b848e8b8cf772f9498d4447b3b19ab14dac0e534 | /supervised_learning/0x03-optimization/10-Adam.py | ec1162f293604c0fd10931058e2780ec01814c86 | [] | no_license | jaycer95/holbertonschool-machine_learning | efc93da7cb5c62ca0b578ce59bbc583f1ce55e03 | 16dc37d1c6dc00a271053b60724c51763914029a | refs/heads/main | 2023-06-09T02:51:26.268088 | 2021-06-30T23:30:59 | 2021-06-30T23:30:59 | 310,918,525 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | #!/usr/bin/env python3
""" Normalization function """
import tensorflow as tf
def create_Adam_op(loss, alpha, beta1, beta2, epsilon):
""" creates the training operation for a neural network """
return tf.train.AdamOptimizer(alpha, beta1, beta2, epsilon).minimize(loss)
| [
"jacer.dabbabi95@gmail.com"
] | jacer.dabbabi95@gmail.com |
2b7cad34da26dbf22ff8b4694e203f4c533ec73d | 8eafb73fdab3e422aa717bac9af338dcba5e3c1e | /bbp/utils/misc/get_shakemap_data.py | b6cc64a70ab970124220cd85ce09fdc9ac8baebf | [
"Apache-2.0",
"LicenseRef-scancode-warranty-disclaimer"
] | permissive | LevyForchh/bbp | 6dae4ce3577a73f5cef9b9b5507753a1381ec870 | 3cc389fb956ea14ef827af0f437ce37e8291afac | refs/heads/master | 2020-06-03T05:10:35.751009 | 2019-06-11T21:38:18 | 2019-06-11T21:38:18 | 191,453,945 | 0 | 0 | null | 2019-06-11T21:38:16 | 2019-06-11T21:38:15 | null | UTF-8 | Python | false | false | 2,448 | py | #!/usr/bin/env python
"""
Copyright 2010-2019 University Of Southern California
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 appli... | [
"fsilva@usc.edu"
] | fsilva@usc.edu |
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