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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
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values | content stringlengths 128 8.19k | authors listlengths 1 1 | author_id stringlengths 1 132 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1ec1082c420c57632e1d8fbdbff3c24e3f426d14 | ae7ba9c83692cfcb39e95483d84610715930fe9e | /yubinbai/pcuva-problems/UVa 11262 - Weird Fence/EdmondsKarp.py | a3cd3aa934f2d8f5f06832cbe4c94dceea41b641 | [] | no_license | xenron/sandbox-github-clone | 364721769ea0784fb82827b07196eaa32190126b | 5eccdd8631f8bad78eb88bb89144972dbabc109c | refs/heads/master | 2022-05-01T21:18:43.101664 | 2016-09-12T12:38:32 | 2016-09-12T12:38:32 | 65,951,766 | 5 | 7 | null | null | null | null | UTF-8 | Python | false | false | 1,846 | py | '''
Created on 2013-6-24
@author: Yubin Bai
'''
from _collections import deque
INF = 1 << 32
def edmondsKarp(graph, s, t):
def augmentPath(v, minEdge):
if (v == s): # managed to get back to source
f[0] = minEdge # minEdge of the path
return
elif (v in p): # augment if ... | [
"[email protected]"
] | |
2b0ced7fa82699bf40379314a33e83ddcdf35160 | 7e9c0243c48bbf0ddca9779ef03fc13bb9ac0496 | /candle.py | ef7ed0eabce07b078b04bab06a40c9c69cbbb75e | [] | no_license | suchismitarout/tt | c47f1f59659d2678392e2f0c3aaee8cfaa147ff4 | 54a5b625a82dab854b679050d67e340e74d71edd | refs/heads/master | 2020-09-16T20:25:34.146741 | 2019-11-25T06:52:07 | 2019-11-25T06:52:07 | 223,880,569 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | def birthdayCakeCandles(ar):
max_ele = ar[0]
count = 0
for i in range(len(ar)):
if ar[i] > max_ele:
max_ele = ar[i]
for j in ar:
if j == max_ele:
count +=1
# for j in ar:
# if j == max_ele:
# count +=1
return cou... | [
"[email protected]"
] | |
3630fd00235c8d64e6fa8c41cb6b0031acc8d051 | 996967405d3ee07e011ee0f0404d03b6d04d3492 | /dataloader/get_coco/select_image.py | e4e45d53306e8d53996618fd3de1138d855286eb | [] | no_license | wyyy04/MyRepository | 797936fc757a2eee4793d5b1b47ebf8b57216ab8 | 91f1a7ff969e91d9649b96796c5827c9910a8183 | refs/heads/main | 2023-02-22T09:56:21.926013 | 2021-01-27T15:34:00 | 2021-01-27T15:34:00 | 315,524,193 | 0 | 0 | null | 2020-11-24T07:30:05 | 2020-11-24T05:05:28 | null | UTF-8 | Python | false | false | 504 | py | from readtxt import loadDataset
import os
import shutil
#从COCO训练集中选取motivations_clean中训练和测试使用的所有图片
rdir='D:\download\\train2014'#源目录
odir='D:\data'#目标目录
data = loadDataset()
data = data[:,0]
print(data)
for im_name in data:
print(im_name) #文件名
r = os.path.join(rdir,im_name)
o = os.path.join(odir,im_name... | [
"[email protected]"
] | |
716119ca0680e969a5c9b15d2f93c196e377873b | 7b4e9342d42be2b55af5dc23a8abedd672d68e99 | /MobileApps/libs/flows/web/jweb/eventing_plugin.py | 83d4c6d1bad5eef4658ff26f41ebc08452999a87 | [] | no_license | Amal548/QAMA | af5bb335c92a90b461f1ee9a3870435d83d46802 | b5230c51d3bc7bb04b3448d1a1fe5a076d8898d5 | refs/heads/master | 2023-07-12T09:17:04.624677 | 2021-08-06T08:01:11 | 2021-08-06T08:01:11 | 389,595,655 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,065 | py | from MobileApps.libs.flows.web.jweb.jweb_flow import JwebFlow
import json
class EventingPlugin(JwebFlow):
flow_name = "eventing_plugin"
########################################################################################################################
# ... | [
"[email protected]"
] | |
5effb4f8168c2ae2b22c3d5bdf47fbc2371234a7 | 08c7f146d82da572731f6ad0fd7d96bd4553f3d8 | /backend/wispy_bread_26347/settings.py | 440dca6d8ada9cc66236256b5fe96e07ed38d97b | [] | no_license | crowdbotics-apps/wispy-bread-26347 | 9c7b081b280e709f6eb5dccd3d38e7be306c18a8 | 04532cb6c4ac227bd104c2210e9997cdc5ff530d | refs/heads/master | 2023-05-01T09:20:01.995863 | 2021-05-07T19:06:03 | 2021-05-07T19:06:03 | 365,329,281 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,117 | py | """
Django settings for wispy_bread_26347 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/
"""
im... | [
"[email protected]"
] | |
9902ebd2e00cc805ec5bdc9703e6ca797ea372dc | 41ede4fd3bfba1bff0166bca7aee80dcf21434c6 | /suvari/gtk2chain/reverses/xcb-util/actions.py | 25adb86a956a71e443321f8a2ef6661d3e2d6833 | [] | no_license | pisilinux/playground | a7db4b42559a21cc72fd4c8649e0231ab6a3eb3c | e4e12fff8a847ba210befc8db7e2af8556c3adf7 | refs/heads/master | 2022-08-12T23:03:27.609506 | 2022-08-11T18:28:19 | 2022-08-11T18:28:19 | 8,429,459 | 16 | 22 | null | 2022-08-11T18:28:20 | 2013-02-26T09:37:11 | Python | UTF-8 | Python | false | false | 572 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Licensed under the GNU General Public License, version 3.
# See the file http://www.gnu.org/licenses/gpl.txt
from pisi.actionsapi import shelltools
from pisi.actionsapi import autotools
from pisi.actionsapi import pisitools
from pisi.actionsapi import get
def setup():
... | [
"[email protected]"
] | |
878a8d6f13a4d962da19b20180204a0a90f19306 | 74c368b2511fd62cb4f71db64bd728d0354d7191 | /refinenet/datasets.py | 6ea166c7a35a6e2ea5c30236b9881e9fa3bc3e65 | [] | no_license | nocotan/RefineNet | 318e8867eca263127e573323f0225934adcf77b8 | 05e5a465807016b913f1f2d58a14c0fdad72beed | refs/heads/master | 2021-04-03T06:07:40.295234 | 2018-03-20T14:48:44 | 2018-03-20T14:48:44 | 124,654,926 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,754 | py | # -*- coding: utf-8 -*-
import os
import random
import cv2
import numpy as np
import PIL.Image
from chainer.dataset import dataset_mixin
class ImageDataset(dataset_mixin.DatasetMixin):
def __init__(self, data_dir, data_list, crop_size=(300, 300)):
self.data_dir = data_dir
self.data_list = os.path... | [
"[email protected]"
] | |
9935830816782ca4bbe14f5537a51ca72ff16bc6 | b109001ec3ca8aa4b2cfc4d4520d8644c58ad5e0 | /navigation/Mappers.py | e6b134df0a24b3ea97c7ed69c07d70c972f65cf3 | [] | no_license | Chandanpanda/navigation-benchmark | b3e25e3672150413299a3d2566ad601156317acf | d83431d6648ac1147f53056ed32ce2caae4f702d | refs/heads/master | 2021-10-24T04:42:56.436909 | 2019-01-31T12:43:48 | 2019-01-31T12:43:48 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,626 | py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from math import ceil,floor
import math
from .Reprojection import getMapSizeInCells, project2dPClIntoWorldMap, ReprojectLocal2Global
def DepthToLocal3D(depth, fx, fy, cx, cy):
r"""Projects depth map to 3d point cloud
with or... | [
"[email protected]"
] | |
d399b2d3a8ff12446dacbf96a4e46f7b8f5d2e92 | 52555a17cdb6058565696585c978c9012b0bfad7 | /examples/synthetic/park2_4/park2_4_mf.py | b8d64549b8c4f770d2f4fd70d7fcabdc1ba4bee4 | [
"MIT"
] | permissive | kirthevasank/dragonfly | 8685d6aff272bd262d9b47c455fc1f1dc77a42aa | 8e09d5ba602d14922455bf09bdd4ca0fa09ef3ee | refs/heads/master | 2020-05-02T00:38:35.252889 | 2019-05-17T03:40:23 | 2019-05-17T03:40:23 | 177,675,339 | 3 | 0 | MIT | 2019-05-06T04:07:41 | 2019-03-25T22:39:37 | Python | UTF-8 | Python | false | false | 489 | py | """
Parkd function with multi-fidelity.
-- [email protected]
"""
# pylint: disable=invalid-name
from park2_4 import park2_4_z
# Write a function like this called 'obj'.
def park2_4_mf(z, x):
""" Computes the Parkd function. """
return park2_4_z(z[0], x)
def objective(z, x):
""" Objective. """
return ... | [
"[email protected]"
] | |
1a2a244f5a7ffd2c4a3c4534e593dc75e9823e55 | 49b827bb587d50c5092837749a7d5b88c024e854 | /experiments/ACOSlite/HDF5_to_GeoJSON.py | 722867db0ee2e86786f2b64806e22f0365deda70 | [] | no_license | SpaceAppsXploration/oco-2-data-network | 7d836bf77cf79a5aac1cd22b02c75af316432b56 | 7d1fd709c7c219c83b7ea9f8075f7df46b460f23 | refs/heads/master | 2020-12-11T05:43:45.979066 | 2015-07-18T08:56:29 | 2015-07-18T08:56:29 | 34,137,221 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,793 | py | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 16 15:23:47 2015
@author: jacopo
"""
import json
from pprint import pprint
import h5py
#
# TO DOs
#
# 1. Add the reference to Sensors ontology
# ACOS LITE file in the same directory
f = h5py.File('ACOSv3.4r02_L3_20100101_000000_20130515_000000.h5', libver='earliest')
... | [
"[email protected]"
] | |
ff20f97e522dad036e7df019b8c4e0a5caae626a | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/nouns/_unguents.py | 87d4634aa61496578132ed4c4606ab4ff28ddf79 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 245 | py |
from xai.brain.wordbase.nouns._unguent import _UNGUENT
#calss header
class _UNGUENTS(_UNGUENT, ):
def __init__(self,):
_UNGUENT.__init__(self)
self.name = "UNGUENTS"
self.specie = 'nouns'
self.basic = "unguent"
self.jsondata = {}
| [
"[email protected]"
] | |
58b2baef07663c5e82c8e96e9e9e199a40108943 | af685f9625dc3fc1892171df396ed46155caa092 | /WORC/resources/fastr_tools/worc/bin/FeatureConverter_tool.py | 84635983ccc0a62c9a1aa63c19be4a548ed16b53 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | MStarmans91/WORC | b66d7de70e2f3acab5100a3431855216b31bd7b1 | f267b3d05c8193939aa4f43e47c6e24f9307864e | refs/heads/master | 2023-08-17T14:02:29.566811 | 2023-08-15T08:58:42 | 2023-08-15T08:58:42 | 92,295,542 | 65 | 20 | NOASSERTION | 2023-08-15T08:58:44 | 2017-05-24T13:31:31 | Python | UTF-8 | Python | false | false | 2,404 | py | #!/usr/bin/env python
# Copyright 2017-2020 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obt... | [
"[email protected]"
] | |
4b68733a5da1facd4daa9d36b3eafb06d1b7bea2 | 79a484e91a8df432a0ded93806a1e8237df7c253 | /umibukela/migrations/0020_auto_20170124_1443.py | 03d19703ba05730c59fd74bd2588eed73576e207 | [
"MIT"
] | permissive | OpenUpSA/umibukela | 7ba14397ad543154d3a32ebfd84e89aa07f7011e | 34c1a29a429b88c2f574e9120cfe93ba524633da | refs/heads/master | 2023-07-26T19:45:12.531887 | 2023-07-10T15:53:07 | 2023-07-10T15:53:07 | 47,106,932 | 0 | 0 | MIT | 2023-02-02T01:36:59 | 2015-11-30T09:03:27 | Python | UTF-8 | Python | false | false | 618 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('umibukela', '0019_auto_20170124_1252'),
]
operations = [
migrations.AlterField(
model_name='cycleresultset',
... | [
"[email protected]"
] | |
d21050a17e15ff92bccfbce4604ba90af3d3d95f | 56818903f60b5e7b88645f88badc92bfa5d2c65f | /automlcli/settings.py | 05d100770da7b6b2f4c87b22a2dd400e38345549 | [
"MIT"
] | permissive | altescy/automlcli | 23e82ad957ac8cbeb43d734741dd8dfb9b24b0ff | ec57ac57df5d9d9f8a7ef79bb7a96a86801f32f4 | refs/heads/main | 2023-04-29T03:57:06.181052 | 2021-05-23T12:19:34 | 2021-05-23T12:19:34 | 341,651,976 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 286 | py | from pathlib import Path
# colt settings
DEFAULT_COLT_SETTING = {
"typekey": "type",
}
# automlcli directory settings
AUTOMLCLI_ROOT = Path.home() / ".automlcli"
# plugin settings
LOCAL_PLUGINS_FILENAME = ".automlcli_plugins"
GLOBAL_PLUGINS_FILENAME = AUTOMLCLI_ROOT / "plugins"
| [
"[email protected]"
] | |
0f904e64473e0a25754c0b977e1599a61fcaaa7b | 660e35c822423685aea19d038daa8356722dc744 | /account_statement_ofx/tests/__init__.py | eef3074bc7837bf7d59e074cce70d4916358feba | [] | no_license | saifkazi/tryton_modules | a05cb4a90ae2c46ba39d60d2005ffc18ce5e44bb | 94bd3a4e3fd86556725cdff33b314274dcb20afd | refs/heads/main | 2023-05-05T12:20:02.059236 | 2021-05-19T10:46:37 | 2021-05-19T10:46:37 | 368,768,310 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 348 | py | # This file is part of Tryton. The COPYRIGHT file at the top level of
# this repository contains the full copyright notices and license terms.
try:
from trytond.modules.account_statement_ofx.tests.test_account_statement_ofx import suite # noqa: E501
except ImportError:
from .test_account_statement_ofx import... | [
"[email protected]"
] | |
062d01992b4ff6403439725111428e675235023b | ca12492b8fe66e34d7152a5118a573175b0a176f | /backend/wallet/migrations/0001_initial.py | 06c04d1d09b8fdac41184f9f6cca8bc684953e59 | [] | no_license | crowdbotics-apps/asile-mobile-22968 | 3d02c0de123ba1b13d79a098ea7eb543658d5f8f | c5005ad17c262f87bdd8eefb89145ee75fdca168 | refs/heads/master | 2023-01-24T17:16:53.239439 | 2020-11-25T08:42:33 | 2020-11-25T08:42:33 | 315,842,223 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,944 | py | # Generated by Django 2.2.17 on 2020-11-25 05:57
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('task_profile', '0001_initial'),
('task', '0001_initial'),
]
operations = [
mig... | [
"[email protected]"
] | |
86aad0348b322a2f956b6383ab4d9264b7a71afd | 0ebec1e899789ae2597c01bae7ca2c3382c4266d | /session5/a_customising_plots.py | 0a6ea8df7506befcbf9f9e859b1a2d01d340e160 | [
"Apache-2.0"
] | permissive | TugdualSarazin/MACT20.21_Digital_tools_Big_Data_part_1 | 02fda6b401bcdad2a240de00960ff0dbc61fc94d | b43b9f50ec42bb413c2c3a090cf11f9886676c58 | refs/heads/main | 2023-01-13T20:51:44.000981 | 2020-11-09T12:25:11 | 2020-11-09T12:25:11 | 313,076,622 | 0 | 0 | Apache-2.0 | 2020-11-15T16:44:29 | 2020-11-15T16:44:28 | null | UTF-8 | Python | false | false | 2,890 | py | # encoding: utf-8
##################################################
# This script shows uses the pandas and matplotlib libraries to produce different kind of plots
# It also combines data from two sources and create multiple plots
# Find extra documentation about data frame here:
# https://pandas.pydata.org/pandas-do... | [
"[email protected]"
] | |
8c6977a6a88267049f29f0ab21620a01356f8d36 | 39cb67781018e23428312610ded87c5d384bb690 | /swinger.py | 23a441d49c82499b30ed56afe259a80e11ef8692 | [] | no_license | yi75798/Swinger | afd8e528cc1bcce3a4db83ce54def54372619717 | b158c4f358fbebe655627969231cf1f0276cf708 | refs/heads/master | 2022-02-25T14:10:25.104740 | 2019-10-25T07:24:12 | 2019-10-25T07:24:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,314 | py | # -*- coding: utf-8 -*-
import nltk, json, pickle
import itertools
from random import shuffle
from nltk.collocations import BigramCollocationFinder
from nltk.metrics import BigramAssocMeasures
from nltk.probability import FreqDist, ConditionalFreqDist
import sklearn
from nltk.classify.scikitlearn import SklearnClassif... | [
"[email protected]"
] | |
90f01e806124c7ca87d8fa588c9283d06b53bfcb | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2485/60623/234199.py | d1fc22fa3226c63bdda6a1c2a234b5d3b02955ce | [] | 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 | 935 | py | # 给定一个单词数组，按排序顺序（计数的递增顺序）一起打印所有字符相同组的计数。
# 例如，如果给定的数组是{“ cat”，“ dog”，“ tac”，“ god”，“ act”}，则分组的字谜是“（dog，god）（cat，tac，act）”。因此输出为2 3
size=int(input())
a=0
while a<size:
b=input()#也没有用
strList=input().split()
i=0
while i<len(strList):
l=list(strList[i])
#列表的sort是针对自己，而字典的sort则是返回一个排好序的，但本身并没有排好序
l.sort()
s=""... | [
"[email protected]"
] | |
69464c3b9cc44fc360e52b78b6397ca102998b16 | ac5e52a3fc52dde58d208746cddabef2e378119e | /exps-sblp/sblp_ut=3.5_rd=1_rw=0.04_rn=4_u=0.075-0.325_p=harmonic-2/sched=RUN_trial=43/sched.py | 96e86f88d4ec9f87aad6a16a3dbd922eb335bcd5 | [] | no_license | ricardobtxr/experiment-scripts | 1e2abfcd94fb0ef5a56c5d7dffddfe814752eef1 | 7bcebff7ac2f2822423f211f1162cd017a18babb | refs/heads/master | 2023-04-09T02:37:41.466794 | 2021-04-25T03:27:16 | 2021-04-25T03:27:16 | 358,926,457 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 529 | py | -S 1 -X RUN -Q 0 -L 2 132 400
-S 0 -X RUN -Q 0 -L 2 104 300
-S 0 -X RUN -Q 0 -L 2 93 300
-S 0 -X RUN -Q 0 -L 2 56 300
-S 2 -X RUN -Q 1 -L 1 50 400
-S 2 -X RUN -Q 1 -L 1 46 300
-S 2 -X RUN -Q 1 -L 1 45 150
-S 2 -X RUN -Q 1 -L 1 42 125
-S 3 -X RUN -Q 2 -L 1 35 175
-S 3 -X RUN -Q 2 -L... | [
"[email protected]"
] | |
ea531889bf01ff9b71405fc6ad2e84ec1a764813 | ba8f5d23d9878a25b30a32cf16e8833f93b25853 | /source_py2/python_toolbox/nifty_collections/emitting_weak_key_default_dict.py | 46c4c7701214a78895301bc8c7a7931a9b878581 | [
"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 | 3,427 | py | # Copyright 2009-2015 Ram Rachum.
# This program is distributed under the MIT license.
'''
Defines the `EmittingWeakKeyDefaultDict` class.
See its documentation for more details.
'''
from .weak_key_default_dict import WeakKeyDefaultDict
class EmittingWeakKeyDefaultDict(WeakKeyDefaultDict):
'''
A key that r... | [
"[email protected]"
] | |
150c5fd8c3bd60bd78428844d15da7c125771b39 | 3937f340aafed20f7b3bb9e36a62d0dfe6ca985d | /CrispyProject/WebApp/forms.py | 02e71ff1a3beb904dbd38af4006ac6e1f687b0b3 | [] | no_license | sunnywralph/Django7AM | 8f6f7e52847882d35ee7f7c4c263c5e90c79b6da | ffef6c6e5ab5231416ca743ebae299622eab9791 | refs/heads/master | 2022-04-25T15:04:45.733504 | 2020-05-05T14:53:57 | 2020-05-05T14:53:57 | 261,496,619 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 192 | py | from django import forms
from WebApp.models import Person
# Fields with Validation
class EmpForm(forms.ModelForm):
class Meta:
model = Person
fields = '__all__'
| [
"[email protected]"
] | |
4335e43e879c0ef68bff953743aa51e096e7bc6b | abfa70e1da5b4ba8e465cdc046fa36e81386744a | /base_ml/10.5.Iris_RandomForest_Enum.py | cb324f72bde8cb4ca167d5b6c13a703a16f9b8bc | [] | no_license | superman666ai/crazy_project | f850819ff2287e345b67500111733bafa5629d1f | 99dcba0fe246ecaf3f556f747d44731a04231921 | refs/heads/master | 2020-05-15T09:32:56.523875 | 2019-05-16T00:57:23 | 2019-05-16T00:57:23 | 182,179,544 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,796 | py | #!/usr/bin/python
# -*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from sklearn.ensemble import RandomForestClassifier
def iris_type(s):
it = {'Iris-setosa': 0, 'Iris-versicolor': 1, 'Iris-virginica': 2}
return it[s]
# 'sepal length', 'sepal width', 'petal l... | [
"[email protected]"
] | |
0e5cd2b71cfca2920b63884ab1b03dedd57aecaa | 11763b1150a3a05db89c13dcd6152f8fcca87eaa | /designs/linear/homomorphic/latticebased/qtpiepublickey3.py | 19c3c2cc331daaa31305c3217bbc670ba8c7c944 | [] | no_license | acad2/crypto | 343c32fa25aaec73e169290579fc3d02c4b226f6 | cb283df4101fcd618a0478a0018273f00d0734ae | refs/heads/master | 2021-08-19T06:36:26.068033 | 2017-11-25T00:41:03 | 2017-11-25T00:41:03 | 113,048,326 | 2 | 0 | null | 2017-12-04T13:49:02 | 2017-12-04T13:49:01 | null | UTF-8 | Python | false | false | 2,559 | py | raise NotImplementedError("q needs to be randomized")
from math import log
from crypto.utilities import random_integer, modular_inverse, big_prime, modular_subtraction
N = 90539821999601667010016498433538092350601848065509335050382778168697877622963864208930434463149476126948597274673237394102007067278620641565896411... | [
"[email protected]"
] | |
c731e200e23ca2544520bae18655637937d939d8 | 325fde42058b2b82f8a4020048ff910cfdf737d7 | /src/storage-blob-preview/azext_storage_blob_preview/vendored_sdks/azure_mgmt_storage/v2021_01_01/aio/operations/_usages_operations.py | 4fb31d3652c09b18a8730846a6ade439f9280d2f | [
"LicenseRef-scancode-generic-cla",
"MIT"
] | permissive | ebencarek/azure-cli-extensions | 46b0d18fe536fe5884b00d7ffa30f54c7d6887d1 | 42491b284e38f8853712a5af01836f83b04a1aa8 | refs/heads/master | 2023-04-12T00:28:44.828652 | 2021-03-30T22:34:13 | 2021-03-30T22:34:13 | 261,621,934 | 2 | 5 | MIT | 2020-10-09T18:21:52 | 2020-05-06T01:25:58 | Python | UTF-8 | Python | false | false | 5,262 | py | # 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) AutoRest Code Generator.
# Changes may ... | [
"[email protected]"
] | |
eeaf201358b733d340ba20b8541a19ccc863938e | 8e7279bc3de368e85129b8e59f12cbdbd8621da1 | /myenv/bin/gifmaker.py | b0dd02f4131ba154bff4296b4730f87a960d0ce0 | [] | no_license | banziha104/dstagram2 | 34f5dca6deb9c19c03fa523d6e4b1c97f60e14d4 | 12dbecb4a727fe67faffc1b2208bd4b5152a8672 | refs/heads/master | 2021-07-09T23:51:17.262219 | 2017-10-10T11:18:45 | 2017-10-10T11:18:45 | 105,170,644 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 684 | py | #!/Users/iyeongjun/Downloads/dstagram_2nd/myenv/bin/python3.6
#
# The Python Imaging Library
# $Id$
#
# convert sequence format to GIF animation
#
# history:
# 97-01-03 fl created
#
# Copyright (c) Secret Labs AB 1997. All rights reserved.
# Copyright (c) Fredrik Lundh 1997.
#
# See the README file for infor... | [
"[email protected]"
] | |
d9c94007b05b243ba95ace0dae93928d09561f45 | bf0800eee5a43f600ab3ebd99d3486846d9f4834 | /blog/views.py | aa024c57c30b7e613d9d778655bff923cef2a3e5 | [] | no_license | wonsik1012/my-first-blog | 6de17de4bd13a9d36650ad2070b07190461dbd3e | e0124e41b8dabf20e23af5d969e55a2238841dba | refs/heads/master | 2020-07-03T10:07:38.321239 | 2019-08-13T11:48:21 | 2019-08-13T11:48:21 | 201,874,737 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,924 | py | from django.shortcuts import render
from django.utils import timezone
from .models import Post
from django.shortcuts import render, redirect, render_to_response
from django.http import HttpResponse
from django.template.loader import get_template
from django.template.context import RequestContext
import folium
from IPyt... | [
"[email protected]"
] | |
64f4aecdc4ba0856009744c04d0a8cef73e58ae7 | 77db6591c5884204d6016bfa89b33691bac38813 | /load.py | b2a9c8a3983643329620f4d7f7cd949b5ccd27f0 | [] | no_license | jbukoski/iltf-signal-webmap-suite | 4fc0aafa977e911a1071872f7adbaf2e7d0da37c | b8374e9cfcc80501a8f632721a7cb9b76e668f6b | refs/heads/master | 2021-03-27T11:20:37.174667 | 2020-12-31T18:03:20 | 2020-12-31T18:03:20 | 79,853,039 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 370 | py | import os
from django.contrib.gis.utils import LayerMapping
from . import models
*_shp = os.path.abspath(os.path.join(os.path.dirname(os.path.dirname(__file__)), 'data', '', '*.shp'))
def run(verbose=True):
*_lm = LayerMapping(
models.*, *_shp, *_mapping,
transform=False, encoding='iso-8859-1'
... | [
"[email protected]"
] | |
29e16f0faaa4866bc0815c2235ece255f754032e | d5eb2fe5d49b581562ae2bc660d08ca80a03d331 | /PythonSandbox/src/misc/num_digits_in_integer.py | 6757434647672cd9e95d213417d05eed2cbab5ac | [] | no_license | mcxu/code-sandbox | fd5aa2e593057901d281a0e74db8957777b06cf3 | a785231582bda8578f79982e2dcddd2f2ab559b4 | refs/heads/master | 2023-07-10T02:07:24.180947 | 2023-07-08T03:31:48 | 2023-07-08T03:31:48 | 130,493,607 | 4 | 2 | null | 2023-01-15T22:53:29 | 2018-04-21T16:49:40 | Python | UTF-8 | Python | false | false | 130 | py | '''
Given an integer n, return a map showing the counts of each single digit in n.
Condition: Do not convert n into string.
'''
| [
"[email protected]"
] | |
5ea5fe910e1ef86b506005a39e879e50f77d83f4 | d532b85841b459c61d88d380e88dd08d29836d43 | /solutions/473_matchsticks_to_square.py | 99245aad8635cdcb9f58acde68ea9d0399c61f3b | [
"MIT"
] | permissive | YiqunPeng/leetcode_pro | ad942468df5506de9dc48a4019933f658e2a3121 | 4a508a982b125a3a90ea893ae70863df7c99cc70 | refs/heads/master | 2022-05-15T09:32:02.699180 | 2022-05-14T16:32:17 | 2022-05-14T16:32:17 | 182,453,966 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 614 | py | class Solution:
def makesquare(self, matchsticks: List[int]) -> bool:
l = sum(matchsticks)
if l % 4 != 0:
return False
size = l // 4
matchsticks.sort()
return self._dfs(matchsticks, len(matchsticks)-1, [size] * 4)
def _dfs(self, ms, pos, sizes):
i... | [
"[email protected]"
] | |
85f970aac1289aa71773cf2f9f5fee61ae7a289f | a939e018333a9ecd26ddc618f99835b7eb381686 | /mapred_parser/user_merger/.svn/text-base/reducer.py.svn-base | c71b89a519663ca1e57f7a5f17e75be85bb0ab96 | [] | no_license | cash2one/crawl_youtube | bff5ba254001c2f31f770e55a4aca39bc54e45ee | 0dc40186a1d89da2b00f29d4f4edfdc5470eb4fc | refs/heads/master | 2021-01-16T22:30:17.800282 | 2016-02-18T11:50:09 | 2016-02-18T11:50:09 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,709 | #!/usr/bin/python
# coding=utf-8
import os
import sys
import time
import base64
sys.path.append(os.path.dirname(os.path.realpath(__file__)) + '/../')
from le_crawler.proto.video.ttypes import OriginalUser
from le_crawler.common.utils import str2mediavideo, thrift2str
user_merge_field = set(['user_name', 'url', 'port... | [
"[email protected]"
] | ||
3f2cee0071989d5dddcf5e06d71d0c53ccf74a79 | 19ddab74600f71700a6b693281d0180d5271f295 | /leetcode/119_杨辉三角2.py | 5ca9f3c4a447aa5bf40bb8293558abdaa26cfa73 | [] | no_license | zhulf0804/Coding.Python | 4d55a430da1a8077c81feba65c13ac654aaf094a | 46ab03e23d15ebd5434ef4dd5ae99130000b00a5 | refs/heads/master | 2022-09-14T18:40:59.880941 | 2022-08-20T08:25:51 | 2022-08-20T08:25:51 | 213,113,482 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | from typing import List
class Solution:
def getRow(self, rowIndex: int) -> List[int]:
if rowIndex == 0:
return [1]
if rowIndex == 1:
return [1, 1]
pre = [1, 1]
for i in range(2, rowIndex+1):
cur = [1] * (i + 1)
for j in range(1, i):
... | [
"[email protected]"
] | |
48c1e248c0c54b9df4c45b1abc82c3c75f4870a9 | ae65873c3584cef7139066b224daad04410af6d2 | /MySQL.py | a042fc4c7860d159e362459d73edbfefca29ad33 | [] | no_license | rajatkashyap/Python | 2240c7472d07803c460c7a55d570e20694b694f9 | f74c85c65b0e209a5f7ab25b653d42835222faaf | refs/heads/master | 2022-06-25T19:20:52.847498 | 2022-06-08T14:40:45 | 2022-06-08T14:40:45 | 145,714,257 | 0 | 0 | null | 2022-04-25T00:18:37 | 2018-08-22T13:39:14 | Python | UTF-8 | Python | false | false | 324 | py | from mysql.connector import (connection)
cnx = connection.MySQLConnection(user='root', password='rajat',host='127.0.0.1',database='db')
cursor = cnx.cursor()
query=("select * from jobs")
cursor.execute(query)
for (city_id,city_name,country_id,x) in cursor:
print city_id,city_name,country_id
cnx.close... | [
"[email protected]"
] | |
9427dd2eb8619763631b53850f3d848d5866e9e7 | eacff46eda2c6b509449979a16002b96d4645d8e | /Collections-a-installer/community-general-2.4.0/plugins/modules/monitoring/airbrake_deployment.py | 3e7938bfba10ac8e1d2080f7ed8ae71ed9589628 | [
"MIT",
"GPL-3.0-only",
"GPL-3.0-or-later"
] | permissive | d-amien-b/simple-getwordpress | 5e6d4d15d5f87124ab591e46b63fec552998fdc3 | da90d515a0aa837b633d50db4d91d22b031c04a2 | refs/heads/master | 2023-04-08T22:13:37.347545 | 2021-04-06T09:25:51 | 2021-04-06T09:25:51 | 351,698,069 | 0 | 0 | MIT | 2021-03-31T16:16:45 | 2021-03-26T07:30:00 | HTML | UTF-8 | Python | false | false | 6,696 | py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2013 Bruce Pennypacker <[email protected]>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
---
module: airb... | [
"[email protected]"
] | |
6b4427adecbd6d4a38872c33dcbca2e3d68aeb29 | e8ae11e5017507da59e2e92d423b6a1994490de4 | /env/lib/python2.7/site-packages/azure/batch/models/pool_delete_options.py | d959c796b779edb07a5117788f554dc19bb6cab6 | [] | no_license | teopeurt/ansible-ubuntu-server | 613d00cea28bc6531acf4a39aeeb9cd0baa2a391 | b5b6127d2ee9723c5088443efe2ffb8ae30cfea7 | refs/heads/master | 2021-06-28T12:49:50.935753 | 2017-07-31T17:34:33 | 2017-07-31T17:34:33 | 98,912,808 | 0 | 1 | null | 2020-07-24T00:05:31 | 2017-07-31T17:32:56 | Makefile | UTF-8 | Python | false | false | 3,192 | py | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft and contributors. 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 co... | [
"[email protected]"
] | |
202131d751e30e0b6464079f63e290c45a89c07a | 6cdff1cccb229bd98c7b7fce0ad3df32e4f04557 | /tests/conftest.py | 4eb8621c176f7ad405450bd91027044cc1498eb9 | [] | no_license | MITLibraries/workflow | fb8cbdf809702318c8d7c64307da90c0acda28cc | 63a17c3021e2bc0e0b13d22246ce3f13295349ca | refs/heads/main | 2023-03-04T10:38:12.270942 | 2021-07-08T18:06:16 | 2021-07-08T18:06:16 | 211,862,997 | 2 | 1 | null | 2023-02-08T01:14:43 | 2019-09-30T13:12:20 | Python | UTF-8 | Python | false | false | 3,108 | py | from collections import namedtuple
import json
from unittest import mock
import boto3
from moto import mock_ecs, mock_ec2
from moto.ec2.utils import generate_instance_identity_document
import pytest
from manager.cluster import Cluster
@pytest.fixture(autouse=True)
def aws_credentials(monkeypatch):
monkeypatch.s... | [
"[email protected]"
] | |
e16189f36956843b3dfa3909dccea36da75ad30e | 5de4aed3d9a9230404150d4c3c553ea05ac4e088 | /afm/logger.py | c872f1d55b593e4a85f55bd2fb43d16e0e878e5a | [] | no_license | UfSoft/afm | db4df3189095aa916b3a3f770d5366bb3e0a9b74 | 2e85c65389a10f7bed032956b0c603bbb2af2dac | refs/heads/master | 2021-01-19T13:25:08.121356 | 2009-10-29T15:24:49 | 2009-10-29T15:24:49 | 26,618,925 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,483 | py | # -*- coding: utf-8 -*-
# vim: sw=4 ts=4 fenc=utf-8 et
# ==============================================================================
# Copyright © 2009 UfSoft.org - Pedro Algarvio <[email protected]>
#
# License: BSD - Please view the LICENSE file for additional information.
# ==========================================... | [
"[email protected]"
] | |
7bf9961f9abe963c51fc315c0be7e3c57d39a529 | 1b8a99a4ff80da51dc81dd8354bf9bf1cbd25a8b | /2023/longest_nice_substring.py | a832858e6eafd4d321f1afb296fd2304b2ca0cb5 | [] | no_license | eronekogin/leetcode | ea639eebe0cd70af9eb4cba59bc68f636d7b3e0c | edb870f83f0c4568cce0cacec04ee70cf6b545bf | refs/heads/master | 2023-08-16T10:35:57.164176 | 2023-08-14T11:25:33 | 2023-08-14T11:25:33 | 163,679,450 | 0 | 0 | null | 2021-09-09T12:04:44 | 2018-12-31T15:33:06 | Python | UTF-8 | Python | false | false | 449 | py | """
https://leetcode.com/problems/longest-nice-substring/
"""
class Solution:
def longestNiceSubstring(self, s: str) -> str:
if not s:
return ''
ss = set(s)
for i, c in enumerate(s):
if c.swapcase() not in ss:
left = self.longestNiceSubstring(s[:i])... | [
"[email protected]"
] | |
1607a3e3331e20d9281ee04b374c3d4ea110cb01 | c2849586a8f376cf96fcbdc1c7e5bce6522398ca | /ch21/ex21-15.pybench2.py | a110d546ad7c35d5e88ae11bbd6ee12cc27e3857 | [] | no_license | freebz/Learning-Python | 0559d7691517b4acb0228d1cc76de3e93915fb27 | 7f577edb6249f4bbcac4f590908b385192dbf308 | refs/heads/master | 2020-09-23T01:48:24.009383 | 2019-12-02T12:26:40 | 2019-12-02T12:26:40 | 225,371,155 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,214 | py | # pybench2.py
...
def runner(stmts, pythons=None, tracemd=False):
for (number, repeat, setup, stmt) in stmts:
if not pythons:
...
best = min(timeit.repeat(
setup=setup, stmt=stmt, number=number, repeat=repeat))
else:
setup = setup.replace('\t', ' ... | [
"[email protected]"
] | |
e3a20c33463c6737ce0a9c7ef85e374de481845f | f0d713996eb095bcdc701f3fab0a8110b8541cbb | /wsCshmu5zkN5BfeAC_11.py | 16ee4c11004690dd94154fad7dd29ce965bcbb66 | [] | no_license | daniel-reich/turbo-robot | feda6c0523bb83ab8954b6d06302bfec5b16ebdf | a7a25c63097674c0a81675eed7e6b763785f1c41 | refs/heads/main | 2023-03-26T01:55:14.210264 | 2021-03-23T16:08:01 | 2021-03-23T16:08:01 | 350,773,815 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 739 | py | """
Create a function that takes a number `n` and checks if each digit is
divisible by the digit on its left. Return a boolean array depending on the
condition checks.
### Examples
divisible_by_left(73312) ➞ [False, False, True, False, True]
# no element left to 7 = False
# 3/7 = False
# 3/3 = True... | [
"[email protected]"
] | |
7586f2806ece479ea1e2d474b53558d8c88144b2 | fdc3d2daf484e8b500368987930d85b833d43fd6 | /sandbox/python/spectrogram3.py | 07bb5de54e8d25c13ce1d5af9224dc0a0bb27ecc | [] | no_license | luiarthur/signal_processing | 9d61b368603b965ab526b9226a1114022e08463b | f6f00ce57b94bfa020ac494fcb4e83549d05c902 | refs/heads/master | 2021-01-01T19:47:45.076460 | 2017-08-12T15:50:18 | 2017-08-12T15:50:18 | 98,684,524 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,513 | py | import os
import numpy as np
from scipy.io import wavfile
from scipy import signal
import matplotlib.pyplot as plt
from notes import pitch, piano_freq, freq_dict, bin_spec
HOME = os.path.expanduser('~')
### Read a wavfile
(fs, x) = wavfile.read(HOME+"/wav/embraceableYou.wav")
if x.ndim > 1: x = x[:,1]
w_size = 409... | [
"[email protected]"
] | |
4b9c499c4cf735c4bbb7e381d11f44e4a1d22ac8 | ad13583673551857615498b9605d9dcab63bb2c3 | /output/instances/nistData/atomic/byte/Schema+Instance/NISTXML-SV-IV-atomic-byte-maxExclusive-5-3.py | f378841d6d0ec8179638494024c1501e673c1b5e | [
"MIT"
] | permissive | tefra/xsdata-w3c-tests | 397180205a735b06170aa188f1f39451d2089815 | 081d0908382a0e0b29c8ee9caca6f1c0e36dd6db | refs/heads/main | 2023-08-03T04:25:37.841917 | 2023-07-29T17:10:13 | 2023-07-30T12:11:13 | 239,622,251 | 2 | 0 | MIT | 2023-07-25T14:19:04 | 2020-02-10T21:59:47 | Python | UTF-8 | Python | false | false | 259 | py | from output.models.nist_data.atomic.byte.schema_instance.nistschema_sv_iv_atomic_byte_max_exclusive_5_xsd.nistschema_sv_iv_atomic_byte_max_exclusive_5 import NistschemaSvIvAtomicByteMaxExclusive5
obj = NistschemaSvIvAtomicByteMaxExclusive5(
value=-73
)
| [
"[email protected]"
] | |
90a26d93ea05d64db95e9ed53c7fe2fcd4b30d8a | 56591823019e0ac1d857f97a1b8c85e9d85a8385 | /Scopuli/Interfaces/WEB/Jinja/Filters.py | d2702eaf522afa636d5c239edcaee4604161951d | [
"Apache-2.0"
] | permissive | MaxOnNet/scopuli-core-web | 3c19e312ec5688034295ac86a7a56fe2b2cf7915 | 66a2c31b36d7fc05be36ba5d5b141644459b4aba | refs/heads/master | 2020-03-23T19:49:56.383093 | 2018-08-30T13:44:31 | 2018-08-30T13:44:31 | 142,004,596 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,911 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright [2018] Tatarnikov Viktor [[email protected]]
#
# 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/licen... | [
"[email protected]"
] | |
a3d679949562466f4ce55d64546316cf11b470e1 | 1b5404b8099de74d4e39e0a41b1d04c61defa8d4 | /Лабиринт/dump/labyrinth_find_solution.py | 6284287ae0344286006f098090bcd1a1b2c5c773 | [] | no_license | ipeterov/random-stuff | 5d07bdcfdcb145d06ed89095f2ad34b70ff0f0bd | dbb38d42331f636919fd149b23783e02ee2c9afb | refs/heads/master | 2023-05-14T00:41:51.122251 | 2023-05-04T12:10:26 | 2023-05-04T12:10:26 | 206,028,412 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,776 | py | import pickle
def refactored_labyrinth(labyrinth):
# 0 - верх, 1 право, 2 - лево, 3 - низ
refactored_labyrinth = []
for y in range(len(labyrinth)):
refactored_labyrinth.append([])
for x in range(len(labyrinth[0])):
refactored_labyrinth[y].append([0,0,0,0])
for y in range(len... | [
"[email protected]"
] | |
73db1141a062dab86543dba3571ab8faea784fdc | 4a5562bf8a7967c9c5d76265d89c366165bff9f8 | /template_python/setup.py | a4bf90beaf8b2625aaf3603393c5c536b60eec9a | [] | no_license | lokendert/me132_students | 640f935bd6e5c5d65329a161731afad4068a72e0 | 8e1075c4b61bef5c8f4d322cb168e2f942e1fad6 | refs/heads/master | 2020-03-31T03:40:46.680398 | 2011-02-04T20:13:29 | 2011-02-04T20:13:29 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 520 | py | from setuptools import setup, find_packages
setup(
name='me132_template',
author="The ME132 TAs",
author_email="[email protected]",
url='www.its.caltech.edu/~me132',
description="A minimal Player client",
version="0.1",
package_dir={'':'src'},
packages=find_packages(),
... | [
"[email protected]"
] | |
bf3f86be25ab7a8ffe01b3fea5ec5bc1ae6b5c2b | a4a63eedacd544872fbfa33fc58d7cf1558829b7 | /backend/event/api/v1/urls.py | 046246934dbd8d54f00c2d7d0a6bb4781e87498b | [] | no_license | crowdbotics-apps/revil-18107 | 3d9bd52855e33debaa60f4f5c801629fb1aa60da | 2671f3410b43cd8ed2ccc51780a80366fb594684 | refs/heads/master | 2022-10-17T09:34:39.097853 | 2020-06-15T00:05:02 | 2020-06-15T00:05:02 | 272,301,823 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 854 | py | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .viewsets import (
VendorViewSet,
LocationViewSet,
FavoritesViewSet,
VendorDetailViewSet,
CategoryViewSet,
FaqViewSet,
PresenterViewSet,
ScheduleViewSet,
MyScheduleViewSet,
SponsorViewSet,... | [
"[email protected]"
] | |
5896418942efd005a46d1c7d2e74df68364411c9 | 9ede3bec6dc9cd58f91ba3ee2b3f4b7eb3b6c889 | /lintreview/repo.py | aa745a9b199595da98ab54ef33439fa29c5edb40 | [
"MIT"
] | permissive | LyleH/lint_review_1 | d0816e68ee74c507357471b1183348b2c8d59af2 | a36945446745a9e8d8c1f1955e084add6563647b | refs/heads/master | 2021-01-19T11:43:42.780988 | 2016-09-22T05:28:23 | 2016-09-22T05:28:23 | 68,887,536 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,101 | py | import lintreview.github as github
import lintreview.git as git
import logging
log = logging.getLogger(__name__)
class GithubRepository(object):
"""Abstracting wrapper for the
various interactions we have with github.
This will make swapping in other hosting systems
a tiny bit easier in the future.
... | [
"[email protected]"
] | |
2ad8fb86568b9db89c98af5b07780a905127da55 | 0675dad295526480242c9da48310a1c958423e72 | /dmrg_j2j2/build_lattice.py | 0d410148abf8f05a76145d0c57c8cbc956ac5397 | [] | no_license | GiggleLiu/numeric_master | 627e054ab7404b1bbf8b8eec65f05346b35640a3 | 47b9eaf1eeaceacf5ff43f2226620e5c37064095 | refs/heads/master | 2021-08-24T11:31:37.107583 | 2017-11-21T06:26:38 | 2017-11-21T06:26:38 | 111,409,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,766 | py | #!/usr/bin/env python
test_str = '''
<LATTICES>
<GRAPH name = "heisenberg" dimension="1" vertices="6" edges="5">
<VERTEX id="1" type="0"><COORDINATE>0</COORDINATE></VERTEX>
<VERTEX id="2" type="1"><COORDINATE>2</COORDINATE></VERTEX>
<VERTEX id="3" type="1"><COORDINATE>3</COORDINATE></VERTEX>
<VERTEX id="4" typ... | [
"[email protected]"
] | |
0a594efa5004b79150ace703b60d768090d1e120 | 1dacbf90eeb384455ab84a8cf63d16e2c9680a90 | /lib/python2.7/site-packages/odps/tunnel/checksum.py | 8e8fc3c8d359101a5792eac47318794d0db3a82b | [
"Python-2.0",
"Apache-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-unknown"
] | permissive | wangyum/Anaconda | ac7229b21815dd92b0bd1c8b7ec4e85c013b8994 | 2c9002f16bb5c265e0d14f4a2314c86eeaa35cb6 | refs/heads/master | 2022-10-21T15:14:23.464126 | 2022-10-05T12:10:31 | 2022-10-05T12:10:31 | 76,526,728 | 11 | 10 | Apache-2.0 | 2022-10-05T12:10:32 | 2016-12-15T05:26:12 | Python | UTF-8 | Python | false | false | 1,918 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2017 Alibaba Group Holding 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/LICENS... | [
"[email protected]"
] | |
faf3c8dfa5ff66ccb5061a5361f46ea8660794fb | 6eb56f2e3f14f2373be07fe95b1c6fedf1e2d49f | /alien_invasion/settings.py | 88e78bcdae2ac7d01be37c4e59510f618f2782a2 | [
"Apache-2.0"
] | permissive | chaofan-zheng/python_leanring_code | fe22b0370cadebf7456477269aff4a35cef0eb41 | 0af44ff39b9ded2c1d2cc96c6d356d21170ac04d | refs/heads/main | 2023-02-28T07:56:46.457552 | 2021-02-10T15:08:33 | 2021-02-10T15:08:33 | 323,584,115 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 553 | py | """存储雷霆战机的所有类"""
class Settings():
def __init__(self):
self.screen_width = 1200
self.screen_height = 800
self.bg_color = (0, 0, 0)
self.speed_factor = 1.5
self.bullet_speed_factor = 5
self.bullet_width = 5
self.bullet_height = 15
self.bullet_color = ... | [
"[email protected]"
] | |
fef6b5cbd6467df66736475fcd841be9bc0cc929 | 84c4514c0d9588026f1f203c2d351df226170f75 | /python/itertools/permutations.py | bfacc64c73bf1bbc3b0ce55bba4154f974d6fe6c | [] | no_license | hiromichinomata/hackerrank | eafc1a902353f6bdac508f67cfa7eebdbfb2811f | bffca0f56c92b752706b5a9fb4c814f44ea5d14e | refs/heads/master | 2022-12-01T15:39:25.811250 | 2020-08-08T01:44:10 | 2020-08-08T01:44:10 | 264,445,214 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | from itertools import permutations
s, num = input().strip().split()
s = sorted(s)
num = int(num)
for i in permutations(s, num):
print("".join(i))
| [
"[email protected]"
] | |
16db4fc999d70029f8e94677713d54ff4f1cca36 | f4335e8e7d3010506f570167bbba18156d3a4674 | /stubs/django/core/management/commands/diffsettings.pyi | 1bf6f90fade7e0b8e54afff184eba3267ee5ee24 | [] | no_license | rtpg/typehangar | 133686ea45ad6187b768290aeebda9cbcae25586 | 790d057497c4791a38f9e3e009b07935b4a12f45 | refs/heads/master | 2021-01-19T04:49:17.940793 | 2017-01-16T13:54:14 | 2017-01-16T13:54:14 | 69,260,488 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | pyi | # Stubs for django.core.management.commands.diffsettings (Python 3.5)
#
# NOTE: This dynamically typed stub was automatically generated by stubgen.
from typing import Any
from django.core.management.base import BaseCommand
def module_to_dict(module, omittable: Any = ...): ...
class Command(BaseCommand):
help = .... | [
"[email protected]"
] | |
e468552fe67dcb111020cfc2ebd9623c74e0c240 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03720/s960059730.py | c3987b6c50c512aecd596e019b24702590445f5d | [] | 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 | 1,311 | py | import sys, re
from math import ceil, floor, sqrt, pi, factorial, gcd
from copy import deepcopy
from collections import Counter, deque
from heapq import heapify, heappop, heappush
from itertools import accumulate, product, combinations, combinations_with_replacement
from bisect import bisect, bisect_left, bisect_right
... | [
"[email protected]"
] | |
cc23354f1ac1be52b795119e99c44df6f9b9a574 | 0b793bce2da8c3d09b7956c0672ddbffd46feaed | /hackerrank/algorithm/lonly_integer.py | 49cc044edcb98b61afa115495f50c34b58c36815 | [
"MIT"
] | permissive | knuu/competitive-programming | c6c4e08fb231937d988bdc5a60a8ad6b31b97616 | 16bc68fdaedd6f96ae24310d697585ca8836ab6e | refs/heads/master | 2021-01-17T09:39:02.647688 | 2020-11-07T03:17:22 | 2020-11-07T03:17:22 | 27,886,732 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 135 | py | from collections import Counter
_ = int(input())
for key, val in Counter(input().split()).items():
if val == 1:
print(key)
| [
"[email protected]"
] | |
e8f56efacae6ebed48b265ae2ae07847dcfaeb1d | 9b87fc7054bedaef1bbfe2842bfca12d5585119b | /nicegui/elements/custom_example.py | ab8af2bcd42916f997d1d55803d71709488c011e | [
"MIT"
] | permissive | TrendingTechnology/nicegui | cb08287c9b0cab7ae1a831ee623a056d8ecdee43 | 68fa24456497683417d2e613ec573673deacd7f7 | refs/heads/main | 2023-06-20T06:11:52.914008 | 2021-07-22T05:09:40 | 2021-07-22T05:09:40 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 785 | py | from .custom_view import CustomView
from .element import Element
class CustomExampleView(CustomView):
def __init__(self, on_change):
super().__init__('custom_example', __file__, value=0)
self.on_change = on_change
self.allowed_events = ['onAdd']
self.initialize(temp=False, onAdd=... | [
"[email protected]"
] | |
25e4a10195a5b94ecb830ef0b1d184c9feda747f | 58ffe83eb9828668c13242c6f98238f08655f561 | /app/notebooks/problang/transcript_utils.py | cdb2f5a88761411c4cf30c48af9b83fd05e1dcf8 | [
"Apache-2.0"
] | permissive | DanFu09/esper | f9dcc47cd5677dee8dffb1e066d69332471a0d6c | ccc5547de3637728b8aaab059b6781baebc269ec | refs/heads/master | 2020-04-04T21:31:43.549572 | 2020-01-16T01:14:13 | 2020-01-16T01:14:13 | 156,289,533 | 4 | 0 | Apache-2.0 | 2018-12-14T03:01:02 | 2018-11-05T22:05:07 | Jupyter Notebook | UTF-8 | Python | false | false | 7,054 | py | import numpy as np
import torch
from torch.utils.data import Dataset
import requests
from query.models import Video
from timeit import default_timer as now
from esper.prelude import pcache
import random
SEGMENT_SIZE = 200
SEGMENT_STRIDE = 100
def video_list():
r = requests.get('http://localhost:8111/videos')
... | [
"[email protected]"
] | |
6310996c29f82720e743d2c1c5d7c036e79d4a73 | d93c91e904470b46e04a4eadb8c459f9c245bb5a | /banglore_scrape/proptiger/proptiger/spiders/proptigerresale.py | 47b05e9f213ad8c5615011068e0591a29f338475 | [] | no_license | nbourses/scrappers | 3de3cd8a5408349b0ac683846b9b7276156fb08a | cde168a914f83cd491dffe85ea24aa48f5840a08 | refs/heads/master | 2021-03-30T15:38:29.096213 | 2020-03-25T03:23:56 | 2020-03-25T03:23:56 | 63,677,541 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 7,099 | py | import scrapy
from proptiger.items import ProptigerItem
from scrapy.spiders import Spider
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from scrapy.selector import Selector
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
import json
from scrap... | [
"[email protected]"
] | |
8d12ea6102055c34798e687b5a6532f7642b276f | 1311696a180047135c825ffa283f9ac9750d4236 | /tests/data/stubs-ok/micropython-linux-1_12/websocket.py | 84603dedea90d09964895308d20f7dfc0ad0c2bf | [
"MIT"
] | permissive | Josverl/micropython-stubber | 71103afa842da02d5ad074b541d9bff7243ce23f | 68fe9113f4b4e611bb4c3d19f79c8ba0e7111f5e | refs/heads/main | 2023-08-31T00:51:22.200348 | 2023-05-31T07:48:54 | 2023-05-31T07:48:54 | 177,823,007 | 135 | 8 | NOASSERTION | 2023-09-11T21:25:19 | 2019-03-26T16:00:53 | Python | UTF-8 | Python | false | false | 546 | py | """
Module: 'websocket' on micropython-linux-1.12
"""
# MCU: {'ver': '1.12', 'port': 'linux', 'arch': 'x64', 'sysname': 'unknown', 'release': '1.12.0', 'name': 'micropython', 'mpy': 2821, 'version': '1.12.0', 'machine': 'unknown', 'build': '', 'nodename': 'unknown', 'platform': 'linux', 'family': 'micropython'}
# Stubb... | [
"[email protected]"
] | |
91fe8bdac939808480646276789f56bc2fd0c450 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_227/ch149_2020_04_13_20_21_26_194548.py | 50b04d13c34b8c1459a9db8abfd23816a3214e2e | [] | 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 | 926 | py | salario_bruto=float(input("Qual o seu salário bruto? "))
numero_dependentes=int(input("Qual o seu número de dependentes? "))
if salario_bruto<=1.045:
INSS=salario_bruto*0.075
elif salario_bruto>=1045.01 and salario_bruto<=2089.60:
INSS=salario_bruto*0.09
elif salario_bruto>=2089.61 and salario_bruto<=3134.40:
... | [
"[email protected]"
] | |
1921637bf67204f6d4521f412444523581176738 | afb16c3188bf06af65ae0d998e114c72342bd8be | /note/demo/python_trace/demo2.py | 69e2891cccff56b373a8630dfd6f7efb23775614 | [] | no_license | onsunsl/onsunsl.github.io | aa75f399f1c647bc2e62314633bfe35187e59ad4 | 4ed2b1b9a2407afcbffdf304020d42b81c4c8cdc | refs/heads/master | 2023-05-26T12:33:11.167270 | 2023-04-01T10:18:05 | 2023-04-01T10:18:05 | 237,595,319 | 1 | 0 | null | 2023-05-23T20:13:11 | 2020-02-01T10:02:58 | Python | UTF-8 | Python | false | false | 490 | py | import os
from time import sleep
import signal
import sys
from traceback import extract_stack
def sigterm_handler(_signo, _stack_frame):
# Raises SystemExit(0):
f = open("./1.txt", "w")
f.write("sigterm_handler")
f.close()
sys.exit(0)
signal.signal(signal.SIGTERM, sigterm_handler)
try:
prin... | [
"[email protected]"
] | |
e3bcf5984f2cde90d396e03b2e11d82015d67e8c | 3cedc7c1519d3b013aad9ec4e6a6ee7834da7589 | /python_code/多线程开发/E_多线程使用共享数据.py | 65fc69e75f8ee5a199ae857933d77ea27bd7330c | [] | no_license | hzrg/songqin_course | 53437100669ee93d2ac5ecae5de938b1a4007d7f | 05e422ce34a42fd6d3819722a19252f8005e79ed | refs/heads/master | 2022-02-09T13:27:59.871400 | 2019-06-13T06:08:45 | 2019-06-13T06:08:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,631 | py | # coding=utf8
import threading
from time import sleep
# 存储支付宝账号余额
zhifubao = {
'jcy' : 2000,
'liming' : 5000,
'wangan' : 15000,
'zhaolei' : 6005000,
}
# 线程1 ： 滴滴打车处理，参数是用户账户和扣款金额
def thread1_didi_pay(account,amount):
print('* t1: get balance from bank')
balance = zhifubao[... | [
"[email protected]"
] | |
4d2a3ab4f356b1581b21a231111a088874cc611e | afd2087e80478010d9df66e78280f75e1ff17d45 | /torch/onnx/_internal/diagnostics/infra/sarif/_suppression.py | c1dcb014809d994a4777917e5e1764388b48dff5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"LicenseRef-scancode-secret-labs-2011",
"LicenseRef-scancode-generic-cla",
"BSL-1.0",
"Apache-2.0"
] | permissive | pytorch/pytorch | 7521ac50c47d18b916ae47a6592c4646c2cb69b5 | a6f7dd4707ac116c0f5fb5f44f42429f38d23ab4 | refs/heads/main | 2023-08-03T05:05:02.822937 | 2023-08-03T00:40:33 | 2023-08-03T04:14:52 | 65,600,975 | 77,092 | 24,610 | NOASSERTION | 2023-09-14T21:58:39 | 2016-08-13T05:26:41 | Python | UTF-8 | Python | false | false | 1,249 | py | # DO NOT EDIT! This file was generated by jschema_to_python version 0.0.1.dev29,
# with extension for dataclasses and type annotation.
from __future__ import annotations
import dataclasses
from typing import Literal, Optional
from torch.onnx._internal.diagnostics.infra.sarif import _location, _property_bag
@datacl... | [
"[email protected]"
] | |
7691802558073b399b3e21487c2b7faf90c162dc | b250b3f74b30ad29f65acab3040433473a259cc1 | /src/_23a.py | cdd79900dd2c709eacf9c37588896d815d22132b | [] | no_license | Abarn279/advent-of-code-2015 | 0cc6ce58ba443335fd9dcd451e327cec01fd3e96 | 8fbf0b2bc576556d5351d64b93c972a6f6ec8020 | refs/heads/master | 2021-06-28T09:11:28.905618 | 2020-11-30T22:02:10 | 2020-11-30T22:02:10 | 75,760,645 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,140 | py | reg = {'a':1, 'b':0}
prog = '''jio a, +19
inc a
tpl a
inc a
tpl a
inc a
tpl a
tpl a
inc a
inc a
tpl a
tpl a
inc a
inc a
tpl a
inc a
inc a
tpl a
jmp +23
tpl a
tpl a
inc a
inc a
tpl a
inc a
inc a
tpl a
inc a
tpl a
inc a
tpl a
inc a
tpl a
inc a
inc a
tpl a
inc a
inc a
tpl a
tpl a
inc a
jio a, +8
inc b
jie a, +4
tpl a
inc... | [
"[email protected]"
] | |
9491cccb3a1203f18678ca88d25a374d6c280612 | a06fd6b7b4e5fc2b1b5a46b4edd20a11f717a5ea | /netbox/extras/filters.py | d0a801b481f55cfc6f08e7f6c154b2c803fd170f | [
"Apache-2.0"
] | permissive | feiynagly/netbox | d9be722eaa5021cf39e82c19c3e4562dedd94254 | d364bbbaa6ee4f2a19015d07dd0de855628befb4 | refs/heads/master | 2022-12-04T04:41:29.052349 | 2021-05-11T07:13:56 | 2021-05-11T07:13:56 | 173,664,986 | 1 | 1 | Apache-2.0 | 2022-11-22T03:12:55 | 2019-03-04T03:10:07 | Python | UTF-8 | Python | false | false | 7,182 | py | import django_filters
from django.contrib.contenttypes.models import ContentType
from django.db.models import Q
from taggit.models import Tag
from dcim.models import DeviceRole, Platform, Region, Site
from tenancy.models import Tenant, TenantGroup
from .constants import CF_FILTER_DISABLED, CF_FILTER_EXACT, CF_TYPE_BOO... | [
"[email protected]"
] | |
b89827e7bd2186efac21f3de64db0f0df6ff1c32 | c2296f56df3b934f824be07338e14bccf7c0e34f | /url_classification/data/movie_reviews/__init__.py | b3a85173320bf97854087bfab6ecbd94c0f6812c | [] | no_license | jayceyxc/MachineLearning | b190c141be714f4ef7d8b79fab1d0cddc6b7cfcb | 793179dab920725866c4fac4d2bae8e1a570d122 | refs/heads/master | 2022-04-16T21:39:05.652266 | 2020-04-14T07:51:04 | 2020-04-14T07:51:04 | 140,239,558 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 203 | py | #!/usr/bin/env python
# encoding: utf-8
"""
@version: 1.0
@author: ‘yuxuecheng‘
@contact: [email protected]
@software: PyCharm Community Edition
@file: __init__.py.py
@time: 2017/8/7 12:18
""" | [
"[email protected]"
] | |
4d352594e3d2b3e79f5ea48063fc2959abef8c5b | 3c31584c1b661195a567ffd2603d30cb2e270493 | /codeforces/864/D.py | 86f83b4c6f59f1a9df0e1846a628d8b628115a0c | [] | no_license | ku-nal/Codeforces | c7f621e35b5d4eea1ed11276ee8e91031252ca91 | df43c2fcbcfd1c9f96b6fe79c7abc9ddee054cb7 | refs/heads/main | 2023-04-10T19:00:40.559074 | 2021-04-27T15:15:51 | 2021-04-27T15:15:51 | 362,154,763 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,877 | py | #===========Template===============
from io import BytesIO, IOBase
import sys,os
inpl=lambda:list(map(int,input().split()))
inpm=lambda:map(int,input().split())
inpi=lambda:int(input())
inp=lambda:input()
rev,ra,l=reversed,range,len
P=print
BUFSIZE = 8192
class FastIO(IOBase):
newlines = 0
def __init__(self, f... | [
"[email protected]"
] | |
24e479bc14d88a4d856866a9475952562dcc6177 | da7a165522daea7c346693c5f32850017c482967 | /abc51-100/abc051/c.py | ad218ed2b388081ae9705ec0c52f82e5979ea0be | [] | no_license | SShayashi/ABC | 19f8750919208c5ff8935638dbaab941c255f914 | 3cbfee0c5251c1bb0df6306166d8d4b33bf7bb2c | refs/heads/master | 2021-05-04T21:06:10.720367 | 2020-07-11T13:59:16 | 2020-07-11T13:59:29 | 119,886,572 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 455 | py | def m():
sx, sy, tx, ty = map(int, input().split())
X = tx-sx
Y = ty-sy
ans = ""
# 一周
ans += "U" * Y
ans += "R" * X
ans += "D" * Y
ans += "L" * X
# 左に一つずらして目的地まで
ans += "L"
ans += "U" * (Y+1)
ans += "R" * (X+1)
ans += "D"
# 右にずれて開始地点まで
ans += "R"
an... | [
"[email protected]"
] | |
cb46e9e19fae34da7ec6451e0dfeb1b3222bff77 | 4c34dca6c12dd36e9e8eb360a2cbbb3f39a50e20 | /scratchpad/scratch.py | 4698f26325561e0b97de44eeba25d723830a5498 | [
"BSD-3-Clause"
] | permissive | PlumpMath/m2py | a35e0265d9e3c46214c9560b46a9e59df63c9a9b | 4a8f754f04adb151b1967fe13b8f80b4ec169560 | refs/heads/master | 2021-01-18T20:16:37.973122 | 2015-01-30T11:29:15 | 2015-01-30T11:29:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
txt = """
>>> t = [1, 2, 3, 4, 5]
>>> map(lambda x: x**2, t)
[1, 4, 9, 16, 25]
>>> t
[1, 2, 3, 4, 5]
>>> zip(t, map(lambda x: x**2, t))
[(1, 1), (2, 4), (3, 9), (4, 16), (5, 25)]
>>>
"""
def paste_run():
global txt
import re
from .utils import xclip
#tx... | [
"[email protected]"
] | |
501d97a1367b23e6209650cac4c62ceab7531ec4 | ee1eed00f04fe4050a9b7d9761a76af37842b8b1 | /dynamicportofolio/migrations/0001_initial.py | 9c57f02e620c776d880992704da0cded5c914ad2 | [] | no_license | dimansion/dango | 707b738d1df735a1019e44a53b095d9af4e2a44a | 4239531849cef3f6c00ff3ba1e38c768a8648e0f | refs/heads/master | 2020-12-24T08:30:31.614872 | 2016-09-07T13:45:33 | 2016-09-07T13:45:33 | 36,284,822 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 733 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Post',
fields=[
('... | [
"[email protected]"
] | |
2e6d529fae8f08a9ea454cbd51d7dad90e159848 | 2611f7e793c52d7bc60be2772cf66b3704c05876 | /14B-088/HI/analysis/rotation_curves/rotsub_channels_movie.py | dd2ef9206c76b7ce8fe348324c48c81dbc5dd5fa | [
"MIT"
] | permissive | e-koch/VLA_Lband | 15e89878f554a70f0bc2a19cb7c5cb1b825f3ced | 8fca7b2de0b88ce5c5011b34bf3936c69338d0b0 | refs/heads/master | 2022-11-29T01:43:22.069806 | 2020-12-21T19:48:22 | 2020-12-21T19:48:22 | 42,543,618 | 2 | 2 | MIT | 2022-11-25T15:38:46 | 2015-09-15T20:06:58 | Python | UTF-8 | Python | false | false | 2,386 | py | import numpy as np
import matplotlib.pyplot as p
from spectral_cube import SpectralCube
from spectral_cube.cube_utils import average_beams
from astropy.utils.console import ProgressBar
from astropy import units as u
from astropy.visualization import AsinhStretch
from astropy.visualization.mpl_normalize import ImageNorm... | [
"[email protected]"
] | |
5623d1d86e28812e453b1b0d2b6bad08204a8e8a | df2cbe914f463ad050d7ed26194424afbe3a0a52 | /addons/web_editor/models/test_models.py | 282b703c03d208e9b44cd2a107f060d5c20fe103 | [
"Apache-2.0"
] | permissive | SHIVJITH/Odoo_Machine_Test | 019ed339e995be980606a2d87a63312ddc18e706 | 310497a9872db7844b521e6dab5f7a9f61d365a4 | refs/heads/main | 2023-07-16T16:23:14.300656 | 2021-08-29T11:48:36 | 2021-08-29T11:48:36 | 401,010,175 | 0 | 0 | Apache-2.0 | 2021-08-29T10:13:58 | 2021-08-29T10:13:58 | null | UTF-8 | Python | false | false | 1,266 | py | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from odoo import models, fields
class ConverterTest(models.Model):
_name = 'web_editor.converter.test'
_description = 'Web Editor Converter Test'
# disable translation export for those brilliant field labe... | [
"[email protected]"
] | |
9bfefdedb6210274b7005f49c69bd92d3e256979 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/96/usersdata/215/54936/submittedfiles/estatistica.py | 2396e9941096556e8218859d3628ab019b398ed1 | [] | 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 | 760 | py | # -*- coding: utf-8 -*-
n=int(input('digite n:'))
a=[]
b=[]
somaA=0
difquadA=0
sdqA=0
somaB=0
difquadB=0
sdqB=0
for z in range(1 ,n+1 ,1):
valorA=float(input('valor listaA:'))
a.append(valorA)
for i in range (0,len(a),1):
somaA=somaA=a[i]
mediaA=somaA/len(a)
for j in range (0 , len(a), 1):
difquadA=(a[j... | [
"[email protected]"
] | |
48d258b6d821fc4ab55853b8287503e12dcf9ba2 | 585bac463cb1919ac697391ff130bbced73d6307 | /105_ConstructBinaryTreeFromPreorderAndInorderTraversal/solution_1.py | 729fb58003e0825a66c681dcd89d745020540bf4 | [] | no_license | llgeek/leetcode | ce236cf3d3e3084933a7a4a5e8c7766f7f407285 | 4d340a45fb2e9459d47cbe179ebfa7a82e5f1b8c | refs/heads/master | 2021-01-22T23:44:13.318127 | 2020-03-11T00:59:05 | 2020-03-11T00:59:05 | 85,667,214 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 740 | py | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def buildTree(self, preorder: List[int], inorder: List[int]) -> TreeNode:
self.preidx = 0
def helper(sidx, eidx):
... | [
"[email protected]"
] | |
5e4f0f125a0d414df5abb90f65a10363540cd67a | d204538b66b477fea7289c6ca9801919f6fbd09e | /demo/start_demo.py | 9fbf7bd3389d6acb37fb7a02802831d838bc6f38 | [
"Apache-2.0"
] | permissive | TrendingTechnology/openchat | efb8194f38bc809ffca165d65ae13c1f10771b84 | cee89e3acff33ef598bf3dfe6d2e13a418a9a0aa | refs/heads/main | 2023-03-26T03:33:52.876583 | 2021-03-04T05:17:28 | 2021-03-04T05:17:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 132 | py | from openchat import OpenChat
from demo.web_demo_env import WebDemoEnv
OpenChat(model="blenderbot", size="large", env=WebDemoEnv()) | [
"[email protected]"
] | |
e70b9829664b9c6f71b685b5dd938706773b2eac | 91add811783a4f19c7474e92ee87b91d9035a9ae | /segmentation_pytorch/models/unet/layers.py | eca45cbd03bdfc02b7e567b8042babd3c2a61240 | [] | no_license | NIRVANALAN/PyTorch_UNOdeMSegNet | fb0f0f992444dd7b41102b3896e9f2866873fee4 | 49b577cef650a4bcb3d5c4879bef2d97982e5f4c | refs/heads/master | 2022-12-22T15:14:22.929861 | 2020-03-21T05:22:40 | 2020-03-21T05:22:40 | 201,301,445 | 3 | 3 | null | 2022-12-08T03:14:09 | 2019-08-08T16:58:08 | Jupyter Notebook | UTF-8 | Python | false | false | 2,206 | py | import torch
import torch.nn as nn
from .utils import init_weights
class unetConv2(nn.Module):
def __init__(self, in_size, out_size, is_batchnorm, n=2, ks=3, stride=1, padding=1):
super(unetConv2, self).__init__()
self.n = n
self.ks = ks
self.stride = stride
self.padding = ... | [
"[email protected]"
] | |
e6cd00e49f7d1ca2bed65faf4373545c7d8492ce | 8698757521458c2061494258886e5d3cdfa6ff11 | /argo/core/network/Bernoulli.py | c79dc46905b9ebaf1716bb2d64646f650601ff94 | [
"MIT"
] | permissive | ricvo/argo | 546c91e84d618c4bc1bb79a6bc7cba01dca56d57 | a10c33346803239db8a64c104db7f22ec4e05bef | refs/heads/master | 2023-02-25T01:45:26.412280 | 2020-07-05T22:55:35 | 2020-07-05T22:55:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,097 | py | import tensorflow as tf
import sonnet as snt
import numpy as np
from operator import xor
import types
import pdb
from abc import ABC, abstractmethod
from tensorflow_probability import distributions as tfd
from .AbstractModule import AbstractModule
class Bernoulli(AbstractModule):
def __init__(self, out... | [
"[email protected]"
] | |
02c3a4438f148ad6f4507b2fe5038d1f2d498bd3 | 144b18db9f190daf499df56f555cfc064bfa42f3 | /pysoa/test/plan/grammar/directives/time.py | 60158f54599153c7b636798e6b2e839efb164050 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | cache51/pysoa | 3eff93d9db7cc125ae016f29d294c5263fdfa692 | fd37d64dfefff01ff0f7f48e225e0d672b36b5db | refs/heads/master | 2020-03-15T14:25:56.935337 | 2018-05-04T14:56:04 | 2018-05-04T14:56:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,955 | py | """
Directives for freezing time during test execution
"""
from __future__ import absolute_import, unicode_literals
import datetime
from pyparsing import Literal
from pysoa.test.plan.errors import FixtureSyntaxError
from pysoa.test.plan.grammar.directive import (
Directive,
ActionDirective,
register_dire... | [
"[email protected]"
] | |
8e468456067fa4b93a3f6a54a9cf2fc969db6b19 | 1e1f7d3687b71e69efa958d5bbda2573178f2acd | /payroll/doctype/attendance/attendance.py | 664a3cb0a3cc17293706a9f4e4f0e4d3d86d2577 | [] | no_license | ravidey/erpnext | 680a31e2a6b957fd3f3ddc5fd6b383d8ea50f515 | bb4b9bfa1551226a1d58fcef0cfe8150c423f49d | refs/heads/master | 2021-01-17T22:07:36.049581 | 2011-06-10T07:32:01 | 2011-06-10T07:32:01 | 1,869,316 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,537 | py | # Please edit this list and import only required elements
import webnotes
from webnotes.utils import add_days, add_months, add_years, cint, cstr, date_diff, default_fields, flt, fmt_money, formatdate, generate_hash, getTraceback, get_defaults, get_first_day, get_last_day, getdate, has_common, month_name, now, nowdate,... | [
"[email protected]"
] | |
fd24b3900bc159123582a764faa95efbf5f54eef | 99aa9b2be5199bf1b2f670bc9bb1a5bc7cec1c89 | /OA/MS/Numbers With Equal Digit Sum.py | 510e263aff6f09a6c2e3936c708e1801d3888015 | [] | no_license | SimonFans/LeetCode | 5196e85dec886b18cb2350419a4a2ae3c751966c | 0a34a19bb0979d58b511822782098f62cd86b25e | refs/heads/master | 2023-02-08T00:49:30.916655 | 2023-01-31T06:32:32 | 2023-01-31T06:32:32 | 145,938,196 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 442 | py | def find_digit_sum(num):
val = 0
while num:
val += num % 10
num //= 10
return val
def num_digit_equal_sum(arr):
digit_sum_map = {}
max_val = -1
for num in arr:
digit_sum = find_digit_sum(num)
if digit_sum in digit_sum_map:
other_val = digit_sum_map[digit_sum]
max_val = max(max_val, other_v... | [
"[email protected]"
] | |
0fb3c1a5ddf254ca4d04fb76e8f9943dfbef7bf9 | 738e2f18c6ca259fe3a6b0d4d70efd32d83a8758 | /generate_bind_conf | b4eb80756ab0933abf30e137d32e4a0ab38762c8 | [] | no_license | nicferrier/secondarys | 9f1e5a1abb616b1a8346be785de33f5667f44762 | 1d5998750686ec27ac2cfbe7542c60e3a6c33ad6 | refs/heads/master | 2016-09-05T19:13:51.949494 | 2012-06-17T21:42:15 | 2012-06-17T21:42:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 270 | #!/usr/bin/env python
import csv
import sys
for entry in csv.reader(sys.stdin.readlines()):
print "zone \"%s\" {" % entry[0]
print "\ttype slave;"
print "\tfile \"/var/cache/bind/db.%s\";" % entry[0]
print "\tmasters { %s; };" % entry[1]
print "};"
| [
"[email protected]"
] | ||
0cbd5474b71672cb168a892ee1b300395a042c70 | 36957a9ce540846d08f151b6a2c2d582cff1df47 | /VR/Python/Python36/Lib/turtledemo/lindenmayer.py | 5f29811cc858c0d44403b5343333afd966e76012 | [] | no_license | aqp1234/gitVR | 60fc952307ef413e396d31e0d136faffe087ed2b | e70bd82c451943c2966b8ad1bee620a0ee1080d2 | refs/heads/master | 2022-12-29T15:30:12.540947 | 2020-10-07T15:26:32 | 2020-10-07T15:26:32 | 290,163,043 | 0 | 1 | null | 2020-08-25T09:15:40 | 2020-08-25T08:47:36 | C# | UTF-8 | Python | false | false | 129 | py | version https://git-lfs.github.com/spec/v1
oid sha256:af4e1ba8102f30f049caf1c4657df7ee1a0b79dd016ca78698a1cfe4067a7df7
size 2553
| [
"[email protected]"
] | |
f391e38a5611fd6cdd88cebaaff3a9c04b3d4a5a | e0980f704a573894350e285f66f4cf390837238e | /.history/menus/models_20201030110920.py | d789727b7aff7632494fbbeb3ed03cb146885f45 | [] | no_license | rucpata/WagtailWebsite | 28008474ec779d12ef43bceb61827168274a8b61 | 5aa44f51592f49c9a708fc5515ad877c6a29dfd9 | refs/heads/main | 2023-02-09T15:30:02.133415 | 2021-01-05T14:55:45 | 2021-01-05T14:55:45 | 303,961,094 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 240 | py | from django.db import models
from modelcluster.models import ClusterableModel
# Create your models here.
class Menu(ClusterableModel):
title = models.CharField(max_length=100)
slug = AutoSlugField(
populate_fro
)
| [
"[email protected]"
] | |
c23d8ce5ad9ad476b4bb2bf58e618efab78a3471 | ed454f31cf5a3d2605f275cc83ec82f34f06bb33 | /zerver/views/pointer.py | 7f015f01e2b6d0e5aac11ed4a96adc385d4a39ff | [
"Apache-2.0",
"LicenseRef-scancode-free-unknown"
] | permissive | 18-2-SKKU-OSS/2018-2-OSS-L5 | b62a3ce53eff63ed09395dc1f8296fef089d90e2 | 190bc3afbf973d5917e82ad9785d01b2ea1773f2 | refs/heads/master | 2020-04-08T11:44:14.468373 | 2018-12-11T04:35:30 | 2018-12-11T04:35:30 | 159,317,980 | 3 | 4 | Apache-2.0 | 2018-12-09T14:14:21 | 2018-11-27T10:30:18 | Python | UTF-8 | Python | false | false | 1,186 | py |
from django.http import HttpRequest, HttpResponse
from django.utils.translation import ugettext as _
from zerver.decorator import to_non_negative_int
from zerver.lib.actions import do_update_pointer
from zerver.lib.request import has_request_variables, JsonableError, REQ
from zerver.lib.response import json_success
f... | [
"[email protected]"
] | |
8b5f46f03fd3acf298116d84ec5c3e44a9f3af84 | a8750439f200e4efc11715df797489f30e9828c6 | /CodeForces/login.py | 785f5e468166714bb35241f17932e9b1ce0d062a | [] | no_license | rajlath/rkl_codes | f657174305dc85c3fa07a6fff1c7c31cfe6e2f89 | d4bcee3df2f501349feed7a26ef9828573aff873 | refs/heads/master | 2023-02-21T10:16:35.800612 | 2021-01-27T11:43:34 | 2021-01-27T11:43:34 | 110,989,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 234 | py | a, b = [x for x in input().split()]
ans = a[0]
i = 1
j = 0
while i < len(a) or j < len(b):
if i >= len(a) or b[j] < a[i]:
ans += b[j]
j += 1
break
else:
ans += a[i]
i += 1
print(ans)
| [
"[email protected]"
] | |
d4f0c626e2bd451c7704118209afe8adf6d93c47 | 93b88de2ae87c4d7bed4d545fe38c502e84e1ba6 | /table/models.py | dee20de09b8933b6cbaa0e3a4cfd8823273031b1 | [] | no_license | jod35/empdata-table | b77fb8394f74cb71d50aeb1c2d5183d39f9fd5dd | 4bda87eb8f54b4e53c3adc534002f50a7e46c5f8 | refs/heads/master | 2020-12-20T05:23:17.126355 | 2020-01-25T05:49:20 | 2020-01-25T05:49:20 | 235,975,783 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 415 | py | from . import db
class Employee(db.Model):
id=db.Column(db.Integer(),primary_key=True)
name=db.Column(db.String(40),nullable=False)
age=db.Column(db.Integer(),nullable=False)
gender=db.Column(db.String(10),nullable=False)
salary=db.Column(db.Integer(),nullable=False)
residence=db.Column(db.Str... | [
"[email protected]"
] | |
0d6d50fe03634a9956397e0cd037cd9f4ae7634e | 607e1b1ec5a41fd5f6cf83e7e20a1372717d2486 | /leetcode/62.py | a6d0a7914195cf7602733f2e272dab0afe4cdedd | [] | no_license | histuckyi/algorithm | 067e627e1672e858b3143440200262e0e5db495c | fb04bbd8cdb3ead707bb07abbc1688b99f7505a7 | refs/heads/master | 2023-07-08T05:22:49.049599 | 2023-06-24T07:00:25 | 2023-06-24T07:00:25 | 147,614,786 | 1 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,608 | py | """
LeetCode 62. Unique Paths
blog : https://daimhada.tistory.com/131
problem : https://leetcode.com/problems/unique-paths/submissions/
"""
class Solution:
def uniquePaths(self, m: int, n: int) -> int:
r = n
c = m
field = [[0]*c for i in range(r)]
rd = [0, 1]
cd = [1, 0]
... | [
"[email protected]"
] | |
88ac7eaa07a6e60ea86b3a2c3c89d5bdf3800eed | 7a0f0c2107019c82b693e809c1a9b912bee9d9b1 | /app/chap3_2_2/models/mkqueries.py | a6ed847f49085fe78b1ee60cf6cf84fe8ca6cc7b | [] | no_license | petershan1119/Django-Official-Practice | 352f17a4c0b03abe81af7471c4823f096868a4b5 | a24f626c28bda6024e1b5380f1f8a3c436ba5a0d | refs/heads/master | 2021-01-24T01:28:46.044910 | 2018-02-26T00:32:55 | 2018-02-26T00:32:55 | 122,808,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,955 | py | from django.db import models
__all__ = (
'Blog',
'Author',
'Entry',
)
class Blog(models.Model):
name = models.CharField(max_length=100)
tagline = models.TextField(blank=True)
def __str__(self):
return self.name
class Author(models.Model):
"""
## ManyToMany의 경우 add 이용해서 업데이트 ... | [
"[email protected]"
] | |
c03eaa16a3e0a5b7f3a46d2d94e6d83848e0d6e8 | 4f972877da14226125440b3da9bdb058764d8a54 | /pandasStudy/temp_opt.py | f108619a26d725634c493b10c9b32adf500d1dee | [] | no_license | ZhiYinZhang/study | 16c29990cb371e7e278c437aa0abc7c348614063 | 8c085310b4f65e36f2d84d0acda4ca257b7389af | refs/heads/master | 2021-07-09T16:05:02.925343 | 2020-06-30T07:53:05 | 2020-06-30T07:53:05 | 153,767,096 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 879 | py | #-*- coding: utf-8 -*-
# @Time : 2019/3/9 14:37
# @Author : Z
# @Email : S
# @File : temp_opt.py
import pandas as pd
import json
# df.to_json(,orient="records",force_ascii=False)
# path="e:/test/json/shaoshanshi.json"
#
# df=pd.read_json(path,orient="records",lines=True)
#
# print(df)
# df.to_json("e:/test/j... | [
"[email protected]"
] | |
c8b547b5c2825f3a201e760acb128b8fc94edaca | 14cc70fa60dfaa441aab34b083cff1bf59574264 | /opencivicdata/legislative/models/session.py | 397d1f240810a4a6ecba6cda44895ce9e76871cc | [] | permissive | tubaman/python-opencivicdata | 85434672bea6b40a417104d9381097df58b8a7b2 | 010cd72bdd806e76f342195a1f1e20acbed5a431 | refs/heads/master | 2020-07-26T13:32:22.452022 | 2019-08-20T05:56:12 | 2019-08-20T05:56:12 | 208,660,220 | 0 | 0 | BSD-3-Clause | 2019-09-15T21:33:06 | 2019-09-15T21:33:06 | null | UTF-8 | Python | false | false | 1,192 | py | from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from opencivicdata.core.models.base import RelatedBase
from opencivicdata.core.models import Jurisdiction
from ...common import SESSION_CLASSIFICATION_CHOICES
@python_2_unicode_compatible... | [
"[email protected]"
] | |
4f086d0abd4fee89dc9252a3a4212d6653a80f19 | 2dc17d12ff6ea9794177c81aa4f385e4e09a4aa5 | /archive/1467. Probability of a Two Boxes Having The Same Number of Distinct Balls.py | 5becc6fac00c3d0f19e7da6a06a9d4ace6447378 | [] | no_license | doraemon1293/Leetcode | 924b19f840085a80a9e8c0092d340b69aba7a764 | 48ba21799f63225c104f649c3871444a29ab978a | refs/heads/master | 2022-10-01T16:20:07.588092 | 2022-09-08T02:44:56 | 2022-09-08T02:44:56 | 122,086,222 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,261 | py | from typing import List
from functools import lru_cache
class Solution:
def getProbability(self, balls: List[int]) -> float:
self.num = 0
N = len(balls)
space_in_each_box = sum(balls) // 2
@lru_cache(None)
def comb(x, y): # x<=y
res = 1
for i in r... | [
"19241008o"
] | 19241008o |
b90c7a68490243757448c83d51d4eae5a3c86fad | 8f6cc0e8bd15067f1d9161a4b178383e62377bc7 | /ppo_baseline_DMB/WORKINGON/easy_ppo_v2/storage.py | 0bd79023734c597fa209870d6297b8372a5c8253 | [] | no_license | humorbeing/python_github | 9c4dfc61a3cefbb266fefff335f6b28d05797e5e | e4b4b49bee7e7e3843c6874717779ce8d619bd02 | refs/heads/master | 2023-01-22T21:51:20.193131 | 2020-01-26T21:47:23 | 2020-01-26T21:47:23 | 163,707,778 | 0 | 0 | null | 2022-12-27T15:37:48 | 2019-01-01T01:58:18 | Python | UTF-8 | Python | false | false | 7,531 | py | import torch
from torch.utils.data.sampler import BatchSampler, SubsetRandomSampler
import numpy as np
def ss(s=''):
print()
print(' ---' * 15)
print(' ---' * 15)
print()
# print(' >>>>>>>>>>>>>>>>>>>> <<<<<<<<<<<<<<<<<<<< ')
print(s)
print()
print(' -... | [
"[email protected]"
] | |
66b1f7ab8b33518cd88195b541716565248d3e8e | 2734b77a68f6d7e22e8b823418ad1c59fe1a34af | /opengever/document/behaviors/__init__.py | 203ebd83e1f3d6ecb246888b2fffc589e66ad832 | [] | no_license | 4teamwork/opengever.core | 5963660f5f131bc12fd0a5898f1d7c8f24a5e2b1 | a01bec6c00d203c21a1b0449f8d489d0033c02b7 | refs/heads/master | 2023-08-30T23:11:27.914905 | 2023-08-25T14:27:15 | 2023-08-25T14:27:15 | 9,788,097 | 19 | 8 | null | 2023-09-14T13:28:56 | 2013-05-01T08:28:16 | Python | UTF-8 | Python | false | false | 174 | py | from zope.interface import Interface
class IBaseDocument(Interface):
"""Marker interface for objects with a document like type
(og.document, ftw.mail.mail) etc."""
| [
"[email protected]"
] | |
3a6ecf79f1d71f56398219969add0d7eaa07bd92 | 908bba8bdc246d665d6b22e3a8b91720c34054e7 | /whatsapp-sentiment.py | e7af36895172fa9f736ffba1bc4ba56d53798139 | [
"Apache-2.0"
] | permissive | yogithesymbian/whatsapp-sentiments | 24874ab055522b8733c500a104d218b205c054a8 | d15d4a44282ecfc9b28fc0d16f2714f0f6ed7d2b | refs/heads/master | 2020-05-25T00:33:48.165911 | 2017-03-19T17:27:15 | 2017-03-19T17:27:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 981 | py | from textblob import TextBlob
from plotly.offline import plot
import plotly.graph_objs as go
import random
user1 = "Bob"
user2 = 'Alice'
with open('chat_sample.txt', 'r+') as f:
samples = f.readlines()
d = {user1:[], user2:[]}
for line in samples:
time, *text = line.split('-')
text = ''.join... | [
"[email protected]"
] | |
b278f7784694cab7b0f6e4c0ae2aa4bf7f6d02af | 0e083f405af00029c9ec31849f0f7f81c56844b5 | /configs/mmseg/segmentation_sdk_dynamic.py | bfb033efed815d9f803ec76bca1feeee792fd4fd | [
"Apache-2.0"
] | permissive | open-mmlab/mmdeploy | 39b9e7b611caab2c76a6142fcb99f0bf1d92ad24 | 5479c8774f5b88d7ed9d399d4e305cb42cc2e73a | refs/heads/main | 2023-09-01T21:29:25.315371 | 2023-08-31T09:59:29 | 2023-08-31T09:59:29 | 441,467,833 | 2,164 | 605 | Apache-2.0 | 2023-09-14T10:39:04 | 2021-12-24T13:04:44 | Python | UTF-8 | Python | false | false | 307 | py | _base_ = ['./segmentation_dynamic.py', '../_base_/backends/sdk.py']
codebase_config = dict(model_type='sdk')
backend_config = dict(pipeline=[
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations'),
dict(
type='PackSegInputs', meta_keys=['img_path', 'ori_shape', 'img_shape'])
])
| [
"[email protected]"
] | |
b6002bc250faf4ddfd8640d2a7ed44bf9176c3ec | 36785c0893ab1e2c81c6a03305f42459776a84e0 | /ambra_sdk/request_args.py | e29318245d880cd3dec5ab930e8d16a232ac1280 | [
"Apache-2.0"
] | permissive | dicomgrid/sdk-python | 06589f87f33850bd15e6e99fb683bada6492775f | 2618e682d38339439340d86080e8bc6ee6cf21b5 | refs/heads/master | 2022-08-28T14:50:35.864012 | 2022-08-22T12:36:50 | 2022-08-22T12:36:50 | 253,867,502 | 11 | 6 | Apache-2.0 | 2022-04-13T10:06:38 | 2020-04-07T17:36:56 | HTML | UTF-8 | Python | false | false | 5,637 | py | """Request args."""
from datetime import date
from json import JSONEncoder
from json import dumps as json_dumps
from typing import Any, Dict, Iterable, Mapping, Optional
import aiohttp
from aiohttp.helpers import sentinel
class Encoder(JSONEncoder):
"""Ambra arguments Encoder."""
def default(self, el: Any)... | [
"[email protected]"
] | |
2b887ca5322df9eb742eec5d14620c6a8c37621d | b5921afe6ea5cd8b3dcfc83147ab5893134a93d0 | /tl/contrib/tweepy/auth.py | 51ed3d90ae2fd53d749c402f1806617c2846a51b | [
"LicenseRef-scancode-other-permissive"
] | permissive | techdragon/tl | aaeb46e18849c04ad436e0e786401621a4be82ee | 6aba8aeafbc92cabdfd7bec11964f7c3f9cb835d | refs/heads/master | 2021-01-17T16:13:18.636457 | 2012-11-02T10:08:10 | 2012-11-02T10:08:10 | 9,296,808 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,226 | py | # Tweepy
# Copyright 2009 Joshua Roesslein
# See LICENSE
from urllib.request import Request, urlopen
from urllib.parse import quote
import base64
from tweepy import oauth
from tweepy.error import TweepError
from tweepy.api import API
class AuthHandler(object):
def apply_auth(self, url, method, headers, paramete... | [
"[email protected]"
] | |
87f68bcf618d998027044494849ca6cc6cbdb568 | b488060127559a3910ad5bf6642061019cc5f7df | /app/auth/views.py | f16dd5a46f53c65e4f7cb58c19eb52ce58c65ca7 | [] | no_license | hypnopompicindex/flasky | 1cf4e104bf68a192348049d651ddf7e35c6c6e0d | 2131bb49decd8a17d25078ab37205f12e22aefa1 | refs/heads/master | 2016-09-05T16:04:45.933010 | 2014-08-29T22:25:55 | 2014-08-29T22:25:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,999 | py | from flask import render_template, redirect, request, url_for, flash
from flask.ext.login import login_user, logout_user, login_required, current_user
from . import auth
from .. import db
from ..models import User
from .forms import LoginForm
from ..email import send_email
from .forms import LoginForm, RegistrationForm... | [
"[email protected]"
] | |
a0647338bf9bf7f1b4ad381078643e483422723e | 825930f372fdf8c9c42cd2f9b1f424ab9de90b38 | /accounts/migrations/0003_order_note.py | 92701e816ce3c74d2368fbed83add82c8b9acf2c | [] | no_license | Xasanjon/crm2 | 56cbfa05d910144c75a3cdfe7423ba68fd576534 | 52279925e64e4268830fbeae6af897aef14b64d0 | refs/heads/master | 2023-07-02T04:13:33.928305 | 2021-08-16T14:53:43 | 2021-08-16T14:53:43 | 395,755,429 | 0 | 0 | null | 2021-08-16T14:53:44 | 2021-08-13T18:30:32 | Python | UTF-8 | Python | false | false | 392 | py | # Generated by Django 3.2 on 2021-08-02 20:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0002_auto_20210725_0252'),
]
operations = [
migrations.AddField(
model_name='order',
name='note',
... | [
"[email protected]"
] | |
1b803449349f7c2d236f15348e6db398d826631f | 504344fc66e8d54081a17306d3012a16bbb81ee7 | /1_start_main.py | f5b040ad17b8d6c087939daec2d577d8e233f917 | [] | no_license | Ryanshuai/auto_pubg | 814753644a8e8e7aa3d7ca3c346a9e05b825c00d | 696f33f888efc441a74e142db878e836bbf3efee | refs/heads/master | 2022-09-21T12:13:24.155393 | 2020-11-12T20:03:43 | 2020-11-12T20:03:43 | 153,748,441 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,482 | py | from PyQt5 import QtCore, QtGui, QtWidgets
from screen_parameter import show_position_y, show_position_x, show_size_y, show_size_x
from press_gun.robot import Robot
from state.all_states import All_States
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName("Dialog")
Dialog.re... | [
"[email protected]"
] | |
a8854b058391a3e400e059150fc9e2444400ab81 | d4b049d91795b5f8899f5ee60151a04be8890af9 | /litapplications/candidates/migrations/0037_auto_20170604_1531.py | 673c7eb72fcbdf9751afa92d8101506c0ee2c1c1 | [] | no_license | thatandromeda/litapplications | 3ab879c6edee1fd8424c3546eead47659699655a | d8b67d0b82ea14fb71b871f7563b7096640e4c25 | refs/heads/master | 2020-05-21T23:59:07.004211 | 2017-12-08T03:25:24 | 2017-12-08T03:25:24 | 64,570,749 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 640 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2017-06-04 15:31
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('candidates', '0036_auto_20170410_0025'),
]
operations = [
migrations.AddFiel... | [
"[email protected]"
] |
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