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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43d49f630d353fd008900b0b05ae5b3a0d17fd2b | c3a68b3e226ba4b04edff61f311a31beda8a3ac2 | /Week2/Day5/word cloud.py | 75fe7e6ba592ac00c97020c661c58acb4ff18a50 | [] | no_license | sgowtham36/CompetitiveProgramming | 3fa477820c5651d4d38c96d5a7790ab74757637e | 835a8f84b578f6421eb6d9b5111a847446117fe3 | refs/heads/master | 2020-03-21T12:45:08.328286 | 2018-07-21T09:23:27 | 2018-07-21T09:23:27 | 138,570,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,432 | py | import unittest
import re
class WordCloudData(object):
def __init__(self, inp):
l = re.split('\.| |\?|\!|:|\- |, |\(|\)',inp)
d = {}
for i in l:
if i!='':
j = i.title()
if i in d:
d[i] += 1
elif j in... | [
"gowtham@localhost.localdomain"
] | gowtham@localhost.localdomain |
ad3f2b56cdbdd7f80247eb8a1a6fb70b31c024d4 | f15d24ce70ba36ec709b6a9c024725bde7082955 | /T_others_to_c.py | cb1a4ab318669a840ad5b68e0a23279421b5a0bd | [] | no_license | fdc227/AIRCRAFT_MODEL_RELEASE | 4a1e6e3ee1b791561618f63f5b7de8df9015308c | 96747e44a76855c7e0a62da986c5ea73f8aab07c | refs/heads/master | 2020-07-09T20:59:16.088364 | 2019-10-07T13:22:40 | 2019-10-07T13:22:40 | 204,082,790 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,720 | py | import pickle
from sympy import *
from sympy.printing.ccode import C99CodePrinter
from sympy.printing.codeprinter import Assignment
from iseven import iseven
import sys
print(sys.argv[1])
print(sys.argv[2])
num_of_elements, num_of_processes = int(sys.argv[1]), int(sys.argv[2])
# num_of_elements = total number of finit... | [
"fangdecheng@hotmail.com"
] | fangdecheng@hotmail.com |
33302759c219b9a3b1fe2347ecb502a4dace1d4d | fc0150b1fd6ba0efd6746a34ffa8cba01640d10e | /Programming Basics with Python - април 2018/04. Complex-Conditions/02. Small Shop.py | f98d0d795257e24d58dfce9db983b1cd9ca6dbeb | [] | no_license | vgrozev/SofUni_Python_hmwrks | 7554d90f93b83d58e386c92dac355573c8cda848 | b10a941a0195ea069e698b319f293f5b4a660547 | refs/heads/master | 2021-06-08T19:40:27.009205 | 2019-11-24T17:19:31 | 2019-11-24T17:19:31 | 95,629,443 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,132 | py | product = input().lower()
town = input().lower()
quantity = float(input())
total = 0.0
if town == 'sofia':
if product == 'coffee':
total = quantity * 0.50
elif product == 'peanuts':
total = quantity * 1.60
elif product == 'beer':
total = quantity * 1.20
elif product == 'water':
... | [
"vgrozev@gmail.com"
] | vgrozev@gmail.com |
2d6e5705b0d6fc9452a7eef4f715005355db0acf | 0067290f8a2c5c367eee2e76f7ec743719d5b59c | /one/two/migrations/0002_auto_20170802_1924.py | 02ba77ac66799d0a3867254c03ad5115c12deb5d | [] | no_license | 8880/Django | d81da8f410845676606eb148a609f56792a14b1b | 469fe07475c2f7c6e2d1ba1e2119b59550f154e6 | refs/heads/master | 2021-01-16T17:54:58.393384 | 2017-08-19T02:55:11 | 2017-08-19T02:55:11 | 100,019,134 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,264 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.3 on 2017-08-02 11:24
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('two', '0001_initial'),
... | [
"klous530.outlook.com"
] | klous530.outlook.com |
b9ee4247f3e4f57c0fe3eb2d7c715b195da8c830 | 962dca0c4f20b45a122f17310acf12057ca866d2 | /old_version/models.py | 5e859c2eff46a3168e9a7f3f7c45f5696f459216 | [] | no_license | wyuten/3ch | c78e2a5cf0b65813302e84bf12dd60a6dccdb633 | 23c73d907bc36a59907dcc0845dea131fa27dcde | refs/heads/master | 2023-04-06T10:59:39.598242 | 2019-04-13T11:54:35 | 2019-04-13T11:54:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 754 | py | # -*- coding: utf-8 -*-
from app import db
from datetime import datetime
class Article(db.Model):
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
title = db.Column(db.String(256), nullable=False)
content = db.Column(db.String(30000), nullable=False)
time = db.Column(db.Da... | [
"wyuten@gmail.com"
] | wyuten@gmail.com |
d3ef5ccaa99988559bd5fde97a0082c970a270a1 | 1548ce77537dcd50ab04b0eaee050b5d30553e23 | /autotabular/algorithms/ctr/xdfm.py | 003e7cba0a5433e271cb0403bed753da731ebcad | [
"Apache-2.0"
] | permissive | Shamoo100/AutoTabular | 4a20e349104246bf825ebceae33dca0a79928f2e | 7d71bf01d2b7d84fcf5f65c9f45c5cea1255d8a2 | refs/heads/main | 2023-08-13T21:34:34.329888 | 2021-10-02T07:06:00 | 2021-10-02T07:06:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,338 | py | import torch
from autotabular.algorithms.ctr.layer import CompressedInteractionNetwork, FeaturesEmbedding, FeaturesLinear, MultiLayerPerceptron
class ExtremeDeepFactorizationMachineModel(torch.nn.Module):
"""A pytorch implementation of xDeepFM.
Reference:
J Lian, et al. xDeepFM: Combining Explicit an... | [
"jianzhnie@126.com"
] | jianzhnie@126.com |
5837d24747eb111593c4fdc4fdb16c2048efb91e | d3e6d6555b0314936902727af36de2f1b7432bf8 | /linked-list-cycle/linked-list-cycle.py | af4d1032682c25c061b7019097dc1288fceab653 | [] | no_license | fly2rain/LeetCode | 624b1e06e1aa3174dfb5c81834b58cc8fd7ad073 | 4ddb5a051c6e2051f016a675fd2f5d566c800c2a | refs/heads/master | 2021-01-18T03:12:22.402044 | 2015-12-28T04:31:19 | 2015-12-28T04:31:19 | 85,842,050 | 0 | 1 | null | 2017-03-22T15:05:20 | 2017-03-22T15:05:19 | null | UTF-8 | Python | false | false | 771 | py |
from utils import ListNode
class Solution(object):
def hasCycle(self, head):
"""
:type head: ListNode
:rtype: bool
"""
if not head:
return False
prev, current = head, head.next
head.next = None
while current:
if current == hea... | [
"xuzheng1111@gmail.com"
] | xuzheng1111@gmail.com |
b4c40afde973ad9d8f36c83127803a0977c3e0ac | 6cc958a57fd727ae66bad61548d4a21d023e6058 | /src/util/util_unit.py | 44b3790514651d2f66dbc0ac31356ba366102b6c | [
"MIT"
] | permissive | oygx210/hpr-sim | 7135e1cba0a868f24eda6c22294a715c41fce2e5 | 4b7249f64c3c699fb863855eb8f1963b4d06e32e | refs/heads/master | 2023-04-13T01:43:38.068845 | 2021-04-27T02:12:34 | 2021-04-27T02:12:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,363 | py | '''
High Power Rocketry - Flight Simulation
MIT License
Copyright (c) 2019 Roshan Doddanavar
https://rdoddanavar.github.io
Path:
hpr-sim/src/util/util_unit.py
Created:
2019-05-25
Type:
Python3 module
Description:
Provides unit conversion utilities.
Functions:
config
convert
Classes:
None
De... | [
"roshandoddanavar@gmail.com"
] | roshandoddanavar@gmail.com |
8ab66f039bfb3d4689e240f5275c04e6cab0d10e | 3b07a0c65c20e512a7578efe76080b277f70da23 | /packages/clear.py | 53c2a60d22cca6bf6b5881ce34e51a2b800d5ecc | [] | no_license | FuryAdcom/PPython_MiniProyecto1 | 3df19c9fdaa43227b6df8443013361309e2d7aff | 9f91af84993e80c9c49c0424a17623f1941fa1ee | refs/heads/main | 2023-01-12T13:28:32.547138 | 2020-11-12T13:45:50 | 2020-11-12T13:45:50 | 311,410,120 | 0 | 0 | null | 2020-11-12T13:45:51 | 2020-11-09T17:13:07 | Python | UTF-8 | Python | false | false | 132 | py | from os import system, name
def clear():
if name == 'nt':
_ = system('cls')
else:
_ = system('clear') | [
"43940539+toniguarisco@users.noreply.github.com"
] | 43940539+toniguarisco@users.noreply.github.com |
a693789de45dbd41820033a6363a8ffeb13c7b85 | 662788b9affd962f8d04d337fe65a418ca5ff209 | /eden/tutorialKivy/tk012_hexEdit_appUsingModules/aboutDialog.py | 260a7a900713e8c436c56f2107f454c9e03dec85 | [] | no_license | xgid/Eden | 0d4910d27da24594d53a221d80313fb7f0e27788 | b2e062fd22481bf26bfc7cc78bf2ec0ba875ddfb | refs/heads/master | 2020-03-31T10:04:24.157325 | 2015-01-24T17:46:54 | 2015-01-24T17:46:54 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 984 | py | # Copyright (C) 2005 - 2014 Jacques de Hooge, Geatec Engineering
#
# This program is free software.
# You can use, redistribute and/or modify it, but only under the terms stated in the QQuickLicence.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY, without even the implied... | [
"jdeh@sterlicht.nl"
] | jdeh@sterlicht.nl |
31a9922a9cadf18a73fa0c106cd377bfb6696751 | 08a68e32dc80f99a37a30ddbbf943337546cc3d5 | /.history/count/urls_20200419191412.py | 5d8ed271bfc7e1cb0268e075f7a2e8934d978eed | [] | no_license | Space20001/word-count-project | dff1b4b44d2f7230070eef0d95dd968b655d92f7 | 795b5e8ad5c59109e96bf7a8e9192efaefa7770e | refs/heads/master | 2022-04-20T17:54:05.511449 | 2020-04-20T15:25:46 | 2020-04-20T15:25:46 | 257,327,368 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 132 | py | from django.urls import path
from . import views
urlpatterns = [
path('', views.home),
path('', views.about),
]
| [
"steve.h@blueyonder.com"
] | steve.h@blueyonder.com |
0519b9a6c3d736fd51361e9def7cf66c291409c5 | 915ac708aeac53125f29bef90c2c047eaed4940e | /Anaconda/Scripts/rst2xetex.py | 2d9179a588e56dbef11208ccd0ed3621286f9cc3 | [] | no_license | bopopescu/newGitTest | c8c480ddd585ef416a5ccb63cbc43e3019f92534 | 5a19f7d01d417a34170a8f760a76e6a8bb7c9274 | refs/heads/master | 2021-05-31T17:00:26.656450 | 2016-06-08T06:43:52 | 2016-06-08T06:43:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 795 | py | #!C:\aroot\stage\python.exe
# $Id: rst2xetex.py 7038 2011-05-19 09:12:02Z milde $
# Author: Guenter Milde
# Copyright: This module has been placed in the public domain.
"""
A minimal front end to the Docutils Publisher, producing XeLaTeX source code.
"""
try:
import locale
locale.setlocale(locale.LC_ALL, '')... | [
"arvindchari88@gmail.com"
] | arvindchari88@gmail.com |
7b89bfc599a8c522870a3004d962c83174b573a2 | b980b16022f9661c8fe25d35ffdccdc2bc5ad193 | /json_fingerprint/_create.py | b5e4a7366a9a48c4a958a9fd5740cc37eb729193 | [
"MIT"
] | permissive | cobaltine/json-fingerprint | 520456c74faa2ed2a7db2a8bc3b27af2335452a5 | 8face4a37e6db8f5a52727d721dfc80a4c3b031a | refs/heads/main | 2023-05-25T03:43:39.390401 | 2023-05-22T18:03:07 | 2023-05-22T18:10:28 | 322,092,977 | 5 | 2 | MIT | 2023-05-22T18:10:29 | 2020-12-16T20:21:59 | Python | UTF-8 | Python | false | false | 1,089 | py | from ._jfpv1 import _create_jfpv1_fingerprint
from ._load_json import _load_json
from ._validators import (
_validate_hash_function,
_validate_input_type,
_validate_version,
)
def create(input: str, hash_function: str, version: int) -> str:
"""Create JSON fingerprints with the selected hash function a... | [
"ville.lehtinen@cobaltine.fi"
] | ville.lehtinen@cobaltine.fi |
e569fc7fc6e893e1d228b1d7e4971dcb65008fb8 | 45cc3880f3444276cebb0a7f91d3b146cd27b9d0 | /beeprint/printer.py | 63fe4de1510c7695ba066e8687e34780d93a7b3e | [] | no_license | aijikl/beeprint | 056aa84ff73da93c50143c83bed0fdf54bd37ee5 | 0380a942c0ad56ab219a51c728b4244a9b49f405 | refs/heads/master | 2021-01-20T04:25:26.858124 | 2017-04-04T06:50:36 | 2017-04-04T06:50:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,603 | py | # -*- coding:utf-8 -*-
from __future__ import print_function
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import sys
import traceback
import types
import inspect
from io import StringIO
from .utils import pyv
if pyv == 2:
# avoid throw [UnicodeEnc... | [
"568397440@qq.com"
] | 568397440@qq.com |
d313ac27c05892907d934359fa7a177b2f5f2fff | 633944f913050debf0764c2a29cf3e88f912670e | /v8/depot_tools/bootstrap-3.8.0b1.chromium.1_bin/python3/lib/python3.8/site-packages/pip/_internal/vcs/__init__.py | 4b25ec2e4255710878140a71bd637c31b9cea887 | [
"BSD-3-Clause",
"bzip2-1.0.6",
"SunPro",
"Apache-2.0"
] | permissive | bopopescu/V8-lgtm | 0474c2ff39baf754f556ef57619ceae93e7320fd | da307e2f7abfca5fa0e860a809de6cd07fd1b72b | refs/heads/master | 2022-02-16T19:10:54.008520 | 2019-09-25T07:51:13 | 2019-09-25T07:51:13 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 100 | py | ../../../../../../../.cipd/pkgs/2/_current/lib/python3.8/site-packages/pip/_internal/vcs/__init__.py | [
"jundong.xjd@antfin.com"
] | jundong.xjd@antfin.com |
058130f56ac7ae3b6cae1b4806a62a3b69fc3b90 | 6adf38f23f24a643d3cacd8daf1eb6e008e2f826 | /spec_test_2.py | 3c8ae0abc983f7d46f75c71d9925cba762a0ebf1 | [] | no_license | nschaffin/Spectrometer-Test-Code | a7f08a59ca7f5c50a9954095bdab4b7a468f9107 | 7bf65af534c1920f667defe1aae08a524e49ffe2 | refs/heads/master | 2022-11-27T05:53:44.709052 | 2020-08-10T17:38:52 | 2020-08-10T17:38:52 | 278,254,687 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,218 | py | import seabreeze
import seabreeze.spectrometers
from seabreeze.spectrometers import Spectrometer
import time
'''
Meant to be run in interactive mode to catch errors
'''
spec1 = ''
# Step 1 and step 4
def test_spectrometer():
global spec1
# Test from_first_available
first_spec = seabreeze.spectrometers.Spectromete... | [
"edwinlu8678@gmail.com"
] | edwinlu8678@gmail.com |
8bf94d64f8dd66a1fa69e2c51090c36a8828b416 | 729ce984b65b68f2da2045cafe0fbc169692af15 | /string_2/count_hi.py | dc41d8786789ae4cd4c967eb5b7c203bd4051f15 | [] | no_license | imvivek71/CodingBat-Python-Coding | 00b1f254c30c423405500e18648e52e59878db9d | 684d432bb5b0a470ab1a86fd4758673b39a16cca | refs/heads/master | 2020-04-15T06:39:52.218845 | 2019-02-04T09:08:03 | 2019-02-04T09:08:03 | 164,468,362 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 365 | py | """""
Return the number of times that the string "hi" appears anywhere in the given string.
count_hi('abc hi ho') → 1
count_hi('ABChi hi') → 2
count_hi('hihi') → 2
"""
def count_hi(str):
x = len(str)
count = 0
if x>1:
for i in range(1,x):
if (str[i]=='i' and str[i-1]=='h') :
count = count+1
... | [
"noreply@github.com"
] | imvivek71.noreply@github.com |
48f6fab3b18bb1659f37d45e12c7ea01398ed32a | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/otherforms/_bunts.py | 41d450a12d291732d8830616446e29d1957fe2d2 | [
"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 | 214 | py |
#calss header
class _BUNTS():
def __init__(self,):
self.name = "BUNTS"
self.definitions = bunt
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.basic = ['bunt']
| [
"xingwang1991@gmail.com"
] | xingwang1991@gmail.com |
fcaf8123dd2fd421f5fc4ee011401898730fd1c1 | be0f3dfbaa2fa3d8bbe59229aef3212d032e7dd1 | /Gauss_v45r10p1/Gen/DecFiles/options/11114095.py | 04981cbb389888968150d038dc6a792df1581176 | [] | no_license | Sally27/backup_cmtuser_full | 34782102ed23c6335c48650a6eaa901137355d00 | 8924bebb935b96d438ce85b384cfc132d9af90f6 | refs/heads/master | 2020-05-21T09:27:04.370765 | 2018-12-12T14:41:07 | 2018-12-12T14:41:07 | 185,989,173 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,637 | py | # file /home/hep/ss4314/cmtuser/Gauss_v45r10p1/Gen/DecFiles/options/11114095.py generated: Wed, 25 Jan 2017 15:25:18
#
# Event Type: 11114095
#
# ASCII decay Descriptor: [B0 -> K+ pi- (Higgs0 -> mu+ mu-)]cc
#
from Configurables import Generation
Generation().EventType = 11114095
Generation().SampleGenerationTool = "Sig... | [
"slavomirastefkova@b2pcx39016.desy.de"
] | slavomirastefkova@b2pcx39016.desy.de |
9214d8fa1656c1be4d2bc90c80540115d23dcb3f | 09717c5335b85838f31cfdb464387378be8ba104 | /toy_test/data_util.py | 829db87c67a8a814e9ba0dda22a86da0d7458706 | [
"MIT"
] | permissive | whikwon/seq2seq-translation | bd6644f9f03e8debb16085f57ad99c0e1d7fa447 | 6858a5270d6c6bf034fdba27600d3d82090b3874 | refs/heads/master | 2021-05-11T12:13:38.442871 | 2018-01-16T11:04:44 | 2018-01-16T11:04:44 | 117,653,885 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,649 | py | import numpy as np
import tensorflow as tf
import os
PAD = 0
UNK = 1
GO = 2
EOS = 3
start_token = GO
end_token = EOS
def read_file(path):
"""Read source from text file"""
input_file = os.path.join(path)
with open(input_file, "r", encoding='utf-8', errors='ignore') as f:
source_sentences = f.read(... | [
"whikwon@gmail.com"
] | whikwon@gmail.com |
8bbbaf502c9a337965728c2e82e58a6959f1178e | 09a076a0e5bc81ccd5a5bc472e817326e4540c09 | /cycling/polls/mercado/mercado/middleware.py | 1e23016687ff389288fd00180007cb6a6799dc98 | [] | no_license | martinnogueira/django22.7tutoriales | f5bffb11491169fb5cc0f934270033be2eed2b30 | 2e2b1e47c8d2f5cbf15ff3616eb7e470822b3b4b | refs/heads/master | 2020-03-23T18:59:55.368029 | 2018-07-25T23:19:36 | 2018-07-25T23:19:36 | 141,947,323 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,713 | py | from scrapy import signals
class MercadoSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy ... | [
"maitinn2@hotmail.com"
] | maitinn2@hotmail.com |
44a2c07bd6f7ec678545c4d5e02cbf32aa98c42d | 58575ac7ea2aa81f0267a2badd8b40b06b37f8f4 | /production.py | 37b6508cfa8cfdd0248b0a9e13bfcf64ca8ee963 | [] | no_license | wenbinhuang9/LL-first-follow | 60c02172af53ff56667b3b210709ca61dc4dd5ab | aeafde3f8b75654e65fd82fec17af8dd76026267 | refs/heads/master | 2021-05-20T16:31:31.037819 | 2020-04-03T01:00:33 | 2020-04-03T01:00:33 | 252,368,991 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,149 | py |
def decodeProductionList(file):
ans = []
start = None
with open(file) as fd:
lines = fd.readlines()
for line in lines:
if line.startswith("start"):
start = line.split()[1]
elif line != "":
production = decodeProduction(line)
... | [
"ben@wenbins-MacBook-Pro.local"
] | ben@wenbins-MacBook-Pro.local |
f788c19f9b7cd4e666685b717504ad5e80a33c46 | 0d87c9a03cf5874851cc7923669e2b7a3241c630 | /gluoncv/torch/model_zoo/action_recognition/i3d_slow.py | e1f8173ccee17096ca1ddc6652c2eda916921adb | [
"Apache-2.0"
] | permissive | Kh4L/gluon-cv | 0f5a771ac44059ac8d562f5ae4502698b1537ee4 | 849411ed56632cd854850b07142087d599f97dcb | refs/heads/master | 2021-06-28T21:39:38.859719 | 2020-11-21T01:18:53 | 2020-11-21T01:18:53 | 186,614,638 | 0 | 0 | Apache-2.0 | 2019-05-14T12:11:12 | 2019-05-14T12:11:12 | null | UTF-8 | Python | false | false | 20,813 | py | # pylint: disable=missing-function-docstring, line-too-long
"""
SlowFast Networks for Video Recognition
ICCV 2019, https://arxiv.org/abs/1812.03982
Code adapted from https://github.com/open-mmlab/mmaction and
https://github.com/decisionforce/TPN
"""
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp... | [
"noreply@github.com"
] | Kh4L.noreply@github.com |
2f9bdc29452a2db1226f3a1ca5aab9fbdac5e5d6 | 6d0364f7aca2ea76444299d84d467a55b8dfabde | /tests/toranj/test-100-mcu-power-state.py | 4cba5896a9f0a28e51ca54be48ff0350a5037d02 | [
"LicenseRef-scancode-warranty-disclaimer",
"BSD-3-Clause"
] | permissive | particle-iot/openthread | b862853867a75a591bcb3dae8f70c2ac9c35eaba | 668256290d1c48319b0b96d41559efb48dcc0821 | refs/heads/master | 2020-03-13T13:02:45.358306 | 2019-07-09T11:38:23 | 2019-07-09T11:38:23 | 131,131,221 | 1 | 0 | BSD-3-Clause | 2019-05-19T03:42:57 | 2018-04-26T09:19:12 | C++ | UTF-8 | Python | false | false | 9,901 | py | #!/usr/bin/env python
#
# Copyright (c) 2018, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... | [
"jonhui@nestlabs.com"
] | jonhui@nestlabs.com |
56fcd9d7569cd87ba0cc217a1be8e88301bac6f5 | 361ac3fcf36d80c792b60b7e2284cb1dc8d77944 | /osa03-16_sanojen_ensimmaiset_kirjaimet/test/test_sanojen_ensimmaiset_kirjaimet.py | bd5cdde1c62e7f1ca35d82db216518e44c552e43 | [] | no_license | darkismus/mooc-ohjelmointi-21 | 48cc20391db4240104549d4f3834a67c77976f6d | 5f72dd9cff78704a2a0f5bc1cc18c7740ce50c51 | refs/heads/main | 2023-08-01T03:35:13.244978 | 2021-09-14T10:49:37 | 2021-09-14T10:49:37 | 368,469,947 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,507 | py | import unittest
from unittest.mock import patch
from tmc import points
from tmc.utils import load_module, reload_module, get_stdout
from functools import reduce
exercise = 'src.sanojen_ensimmaiset_kirjaimet'
def outputs_equal(str1 : str, str2 : str) -> bool:
return str1.lower() == str2.lower()
def get_correct(s... | [
"tuomas.puikkonen@iki.fi"
] | tuomas.puikkonen@iki.fi |
fe484f2dbfa7363e12c93e00a34759692e113a73 | f4b8c90c1349c8740c1805f7b6b0e15eb5db7f41 | /test/test_term_session_item.py | 7867f29a7aa4a6fd2bb993565b40f161db7abf86 | [] | no_license | CalPolyResDev/StarRezAPI | 012fb8351159f96a81352d6c7bfa36cd2d7df13c | b184e1863c37ff4fcf7a05509ad8ea8ba825b367 | refs/heads/master | 2021-01-25T10:29:37.966602 | 2018-03-15T01:01:35 | 2018-03-15T01:01:35 | 123,355,501 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,044 | py | # coding: utf-8
"""
StarRez API
This is a way to connect with the StarRez API. We are not the developers of the StarRez API, we are just an organization that uses it and wanted a better way to connect to it. # noqa: E501
OpenAPI spec version: 1.0.0
Contact: resdev@calpoly.edu
Generated by: https... | [
"fedorareis@gmail.com"
] | fedorareis@gmail.com |
5c18325f09c726223108db74bfcdff8194bd5abf | 0709374e10878df28c7f5359b14ea7eaaac8c5f1 | /train_models.py | d36f050510cbc73bb5c2ef72f7ba120873c6f9c2 | [] | no_license | rhawiz/dingocv-api | c8af7e46df4ba833c71dc64e0321f463b6b1756f | d1197d120e8ce27b73903e53a5f76537c7228696 | refs/heads/master | 2021-01-16T18:49:30.878196 | 2017-08-14T20:20:37 | 2017-08-14T20:20:37 | 100,119,769 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py | import os
from app.core.train import AutocompleteTrainer
DATABASE_PATH = os.getenv("DATABASE_PATH", "dingocv_phrases.sqlite")
MODELS_PATH = os.getenv("MODELS_PATH", 'models')
trainer = AutocompleteTrainer(save_dir=os.path.abspath(MODELS_PATH), sqlite_path=os.path.abspath(DATABASE_PATH))
trainer.train()
| [
"r.hawiz@geophy.com"
] | r.hawiz@geophy.com |
02e1b1ac9d7ca0fcf0fa59318c57df5d46403f9d | 16809bf25066488f2f32f154dadef3e30c68ae68 | /sine_wave.py | 0ed35aeb1f8d136868fdb4c3053a10605cc1bcdf | [] | no_license | aidiary/signal_processing | 0db6d1a9662ccd0fe232ccc461e9b27174c8ef88 | 4c1cb8ceee3a1527f38b8dbf9ffa1a737d06b577 | refs/heads/master | 2021-01-13T03:44:32.721301 | 2016-12-23T13:40:10 | 2016-12-23T13:40:10 | 77,221,395 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,762 | py | #coding: utf-8
import wave
import struct
import numpy as np
from pylab import *
def createSineWave (A, f0, fs, length):
"""振幅A、基本周波数f0、サンプリング周波数 fs、
長さlength秒の正弦波を作成して返す"""
data = []
# [-1.0, 1.0]の小数値が入った波を作成
for n in arange(length * fs): # nはサンプルインデックス
s = A * np.sin(2 * np.pi * f0 * n / ... | [
"f2forest@gmail.com"
] | f2forest@gmail.com |
ebaed099d674b260f3ebd706f27ed03c9e10f782 | b211aa36e31107d7530e2126d537fc0576208302 | /tests/test_api_veiculos.py | 5700cd20fdc0bac6f2b37343c29a31e70323e85b | [] | no_license | jeffersonSA/CadVeiculosAPI | 0e7ccf3a7b134e2cb259f7a85d16cf371022e3e8 | 74ec501bc2116a2f02eec96e9cbd5ad2359f60a5 | refs/heads/master | 2023-04-20T12:58:04.144461 | 2021-05-15T21:40:10 | 2021-05-15T21:40:10 | 366,793,041 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,693 | py | def test_post_deve_retornar_erro_quando_o_payload_for_incompleto(client):
dado = {'veiculo':'Gol','ano':2020,'vendido':True}
esperado = {'marca': ['Missing data for required field.'], 'descricao': ['Missing data for required field.']}
response = client.post('/api/veiculos',json=dado)
assert respons... | [
"jefferson.silvaaraujo@hotmail.com"
] | jefferson.silvaaraujo@hotmail.com |
eda4b59a482a804a1127f88a7858183bc9a63ff5 | 6b1852a7b33cb5dd8f8c77af4b02e6ef2cd33bb2 | /process_data.py | 292f75e400526963235124c85f96d5fc6711f1f5 | [] | no_license | LianaMikael/Paraphrase-Generation | 16cd6b7d0208cb9ae674dcede15c65e859b8eb9b | 612e94a167b84b57002c1561473802046e491b14 | refs/heads/master | 2023-02-08T17:34:53.595361 | 2021-01-03T22:01:14 | 2021-01-03T22:01:14 | 290,590,604 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,235 | py | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
import re
def collect_ppdb():
sources = []
targets = []
with open('ppdb_all.txt', 'r+') as f:
for line in f:
line = line.split('|||')
if float(line[-1]) >= 3.0:
sourc... | [
"mvl1ana98@gmail.com"
] | mvl1ana98@gmail.com |
bab3b9c06cd3458d4a355e11325a5729132b1ce1 | eea1006480b1de285a102cc4223db193133baa16 | /hw_3/hw03_normal.py | 7159aca10d933db39a7b8386004ce10a39cfc70a | [] | no_license | kostcher/Python | de5e0515f41c1fe957ab14370054e41e7309873c | 7fb0e22254a41ccf79b9f14bfbee088e0bcaf01a | refs/heads/master | 2020-03-30T14:37:06.395892 | 2018-12-19T19:56:39 | 2018-12-19T19:56:39 | 151,326,877 | 0 | 0 | null | 2018-12-19T19:56:49 | 2018-10-02T21:38:37 | Python | UTF-8 | Python | false | false | 2,470 | py | # Задание-1:
# Напишите функцию, возвращающую ряд Фибоначчи с n-элемента до m-элемента.
# Первыми элементами ряда считать цифры 1 1
def fibonacci(n, m):
if n <= 0 or m <= 0 or m < n:
return []
fibonacci_row = [1, 1]
for i in range(1, m - 1):
fibonacci_row.append(
fibonacci_ro... | [
"k.s.cherepanov@gmail.com"
] | k.s.cherepanov@gmail.com |
ce6a75c3e25f17454a75327f11652b8aa4e4197d | 4c68051b3ade462240f063a6dbdea690bcc1457f | /gsb_intention.py | 99cc34ef91b70f8ebb0afc9bd0b1e687a8d544fb | [] | no_license | gaohang/search | 42cfac8318b2465f3b2df42de46c5ac05b921ca8 | 81459a5f43bf308ea6f5e77afb87c05d4113a7a0 | refs/heads/master | 2023-07-12T06:37:20.895644 | 2021-08-27T07:46:56 | 2021-08-27T07:46:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,778 | py | # encoding=utf-8
import pandas as pd
import json
from query_parser_search import QueryParserSearch
from main_search_search import MainSearchSearch
from config import p_date_today
import os
if __name__ == '__main__':
cwd, filename = os.path.split(os.path.realpath(__file__))
print(cwd)
gsb = open(cwd+'/gsb_... | [
"gao.hang@aliyun.com"
] | gao.hang@aliyun.com |
172bb00f20da38f71b5cc4ba3039f8e12d3e9b89 | bf44592899afb4192579105cc8f3102f8bddef4c | /website/login_module/admin.py | df30291c8c4e638171e68cd5cea822a1872a46a8 | [] | no_license | VigneshwarRavichandran/Django-Test | 7e3021cc27981656a71d21f72d17f1b7955098e9 | ad11470c5a2e30d802415e6c6236ccac90ff792c | refs/heads/master | 2020-08-01T23:21:41.182811 | 2019-10-09T17:02:06 | 2019-10-09T17:02:06 | 211,155,579 | 2 | 0 | null | 2019-10-09T17:02:25 | 2019-09-26T18:25:47 | Python | UTF-8 | Python | false | false | 115 | py | from django.contrib import admin
from .models import *
admin.site.register(Users)
admin.site.register(UserDetails) | [
"vigneshwarravichandran@gmail.com"
] | vigneshwarravichandran@gmail.com |
0318a8bc4860d8f8c1d1970f31b869a66bf7252a | aa61aca81cbe97ec6a012ddd55f5780df98f952a | /Final_task/libraries/UnixToIso.py | 267a612b6580d45f8400c020196c53858ad88136 | [] | no_license | R1ckNash/Testing_the_openweathermap_website | 3141870e774fb39d908c98a825af92f3aefde0d5 | 6d86b16e1313cc7aa9a769669ed06affacb10b8b | refs/heads/master | 2022-10-13T19:17:56.607743 | 2022-09-14T07:44:53 | 2022-09-14T07:44:53 | 260,710,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,939 | py | seconds = 86400
def get_year(unixtime):
year = 365
leap_year = 366
current_year = 1970
cur_unix = 0
tmp_unix = 0
while 1:
if cur_unix > unixtime:
current_year -= 1
break
if (current_year % 4 == 0 and current_year % 100 != 0) or current_year % 400 ==... | [
"Carapaceeee@rambler.ru"
] | Carapaceeee@rambler.ru |
4c340cb45e7aef300a6fcf35ac7fb96f061e341f | d6b3399b6c87137f97a3ea03e77cf00ef043144b | /titanium-reset-appc.sh | 540b1ad41bf4427793f8b25296094b616e2e520d | [] | no_license | deanrock/ios-continuous-integration | 9301f1fd82544f08dd1a3e3923789aadb94639ca | 77f3a1a8962f355e82411cb4e28e42f6196026dd | refs/heads/master | 2020-12-24T07:01:19.481134 | 2017-01-16T22:43:52 | 2017-01-16T22:43:52 | 58,654,479 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 491 | sh | #!/usr/bin/python
import uuid
import sys
path = sys.argv[1]
new = []
with open(path) as f:
data = f.readlines()
for line in data:
if line.strip().startswith('<property name="appc-'):
continue
if line.strip().startswith('<property name="acs-'):
continue
if line.... | [
"dejan@dejanlevec.com"
] | dejan@dejanlevec.com |
05a6fb23df52b0619efa62fd7632a2128972f524 | d4ae9cbb7438397a33d7ac6754716db2f4fabd6c | /HelloPython/study/HelloPython111.py | 36da8e90c92ef59ec2593ce5a85b29690ef8caf1 | [
"Apache-2.0"
] | permissive | treason258/TreLibrary | 82cf0f3d7c1a67a18c86cf3c8d6566507db2ca79 | ccf463763518e40696a2cb7e7b95d6a7644fcf6b | refs/heads/master | 2023-01-08T10:25:33.097219 | 2021-10-15T06:06:10 | 2021-10-15T06:06:10 | 64,649,980 | 0 | 0 | Apache-2.0 | 2023-01-03T15:40:27 | 2016-08-01T08:31:08 | Java | UTF-8 | Python | false | false | 2,757 | py | # -*- coding:utf-8 -*-
import urllib
import urllib2
import re
import os
import time
class HelloSpider(object):
num = 0;
dirStr = 'Downloads/python/HelloSpider44'
imgStr = 'Downloads/python/HelloSpider44/0.jpg'
# print urllib2.urlopen("https://img.q6pk.com/image/20181119/", context=context).rea... | [
"matengfei@xin.com"
] | matengfei@xin.com |
6747247f5f548f5e24f7c1afa2b192c7d9a0e06e | e8600b0404bf67f7046b81a7afde513dbbaad622 | /recipe-search/urls.py | 15ee99859e042a65236e7b4d5c134f11677a8534 | [
"BSD-3-Clause"
] | permissive | talpor/recipe-search-hackathon | f46817041b2310f3b08c3e163fd8bab4e56df1be | 7471f08e1067317f3bb1f35b4ebd4b3cd96e0580 | refs/heads/master | 2016-09-11T00:21:45.429716 | 2015-02-23T02:15:42 | 2015-02-23T02:15:42 | 31,127,311 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 679 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.conf import settings
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.views.generic import TemplateView
# Uncomment the next two lines to enable the admin:
from django.contrib import a... | [
"gjaber@talpor.com"
] | gjaber@talpor.com |
1d780241475488e4db572beaa12329618d3bf1a4 | d9a1ab1a63b5e32917f8bf0235f2a3d5dda0859e | /6.5.3.py | 01839d6d67fa29a1ceb8dc82b0510750f69cbeb7 | [] | no_license | ianmlunaq/edhesive-python | a2123e0dd814ea82daa2b6d4c365bafc718e6faa | 25def8fa2728e7e388866dc7451b0a523adea291 | refs/heads/main | 2023-04-01T14:08:32.362019 | 2021-04-06T03:53:43 | 2021-04-06T03:53:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 92 | py | # 6.5.3.py | ian luna | 2020.04.24
z = 0
for x in range(99, 0, -1):
z = z+x
print(z)
| [
"noreply@github.com"
] | ianmlunaq.noreply@github.com |
0927f40911c491e95f265c70fcf2b07e8abf0276 | 0da6461f39f243e1e2b6eef346da29e3f13ec198 | /guest/sign/migrations/0001_initial.py | 6c6c647f3f68a2b483ee6da898545d0d7374024b | [] | no_license | galypso/pydj | 36865f5b86db7a4be33bb8402e44051a46685cf4 | c9b5b26ac61d2c1d48ff25e3e3240572a28271f4 | refs/heads/master | 2020-06-01T16:08:07.358258 | 2017-06-13T05:39:47 | 2017-06-13T05:39:47 | 94,079,377 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,662 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.5 on 2017-06-12 05:40
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Crea... | [
"galypso@163.com"
] | galypso@163.com |
10e0325e5b08eac3a5535c61283db715fcf39bb1 | 47ea61cf24fb864c6bea0c6ef47436625b25105e | /project_6.py | f16a3dd78c12faa584d252146ac28eefa55e35d5 | [] | no_license | eun77/Voronoi-Algorithm-Center-points | 9973cde9ca19ae5689ce9757d6563045d77b1132 | 5104ef17fafcca12e320774ff47ebc2f1769796d | refs/heads/master | 2020-06-21T18:13:03.699186 | 2019-07-18T06:32:58 | 2019-07-18T06:32:58 | 197,523,347 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,531 | py | from PIL import Image
import random
import math
def generate_voronoi_diagram(width, height):
image = Image.new("RGB", (width, height))
putpixel = image.putpixel
imgx, imgy = image.size
nx = []
ny = []
nr = []
ng = []
nb = []
nx = [20, 40, 40, 40, 40, 60, 60, 60, 60, 80, 80, 120, 120,... | [
"noreply@github.com"
] | eun77.noreply@github.com |
e662722fad68cff102487d6ba08454d41807ad11 | 2e682fd72e3feaa70e3f7bf2a3b83c50d783ec02 | /PyTorch/dev/cv/detection/YOLOX_Dynamic_ID4069_for_PyTorch/yolox/layers/fast_coco_eval_api.py | 55bfa28a1c06813d48ff90862908a7655239001e | [
"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 | 6,464 | py |
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | [
"hanjun20@huawei.com"
] | hanjun20@huawei.com |
581d49c1b52ad71809a42f76fa48e98a89cd7a70 | f40ba0cc14c227320636bb26ff4c18c433bbd796 | /oxemHeroes/gameMember/apps.py | df3241a5745a28148dbd19f7e53b29d19cfdcd65 | [] | no_license | mLegeay/Oxem-heroes | 432bf717a0ea96174ef838318f29fea42e500f4a | 5dbfd0c1bbd1f92f4678ef55acbef718db4d8f84 | refs/heads/master | 2020-04-25T05:03:16.659607 | 2019-03-21T13:44:18 | 2019-03-21T13:44:18 | 172,530,179 | 0 | 0 | null | 2019-03-21T13:44:19 | 2019-02-25T15:17:44 | Python | UTF-8 | Python | false | false | 95 | py | from django.apps import AppConfig
class GamememberConfig(AppConfig):
name = 'gameMember'
| [
"mathieu.legeay@sephira.fr"
] | mathieu.legeay@sephira.fr |
abc9188983419180bd10fbed0de5aaa7610ece80 | 0ec9b1f5435854638befc7efadca0577cc9c6505 | /mlsemcwk/viewdata.py | 0fe474e8dcaca77150e2b51eac3728cfa4d4ce4d | [] | no_license | michaelwh/mlsemcwk | f4ec19ab417b6cc2c216d68835f35b0790d484ec | 5f59e8c50c56d53c0de84dd16d5d49c292e92a39 | refs/heads/master | 2021-01-20T03:26:02.560111 | 2011-05-18T14:00:40 | 2011-05-18T14:00:40 | 1,752,018 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,857 | py | #!/usr/bin/env python
# Tk-matplotlib integration code from http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_tk2.html
import matplotlib
matplotlib.use('TkAgg')
from numpy import arange, sin, pi
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotl... | [
"michaelwhodgson@gmail.com"
] | michaelwhodgson@gmail.com |
cc9c24223afa3233535419d0963c36d03937434c | f973fb52affe135e725e157c0df95324975ef795 | /Telecom-Customer-Churn/docs/conf.py | d86edd5a017426b310948e9409a59f94b52dbabc | [] | no_license | Pasoosh/CustomerChurn | efae2fb489890a48a2324bb05273c2f9b4dad787 | 89772d8d2be572e88eae0ee3fe11500ffb38284e | refs/heads/master | 2020-12-13T05:03:38.164118 | 2020-02-11T03:12:02 | 2020-02-11T03:12:02 | 234,318,800 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,936 | py | # -*- coding: utf-8 -*-
#
# Telecom-Customer-Churn 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 configuratio... | [
"Leonardo.dosPassos@standardbank.co.za"
] | Leonardo.dosPassos@standardbank.co.za |
862323cdd250fded22470d58b5b961390e8c4680 | 88748ec85d537e4b50ba45a255a0dcc3c154116f | /tests/unit/test_poll.py | 2810d41f352a9741f36504ab9e9b2f71976b5c96 | [
"MIT"
] | permissive | byrgazov/vanilla | 17c53843b1b2f6b5484e4ff8e2fab54123245cc0 | 2896ae049d9e58ef3b4008a869ebf481951d0780 | refs/heads/master | 2020-07-30T12:30:04.497223 | 2020-07-24T10:08:03 | 2020-07-24T10:08:03 | 210,235,284 | 0 | 0 | MIT | 2019-09-23T00:49:06 | 2019-09-23T00:49:06 | null | UTF-8 | Python | false | false | 1,731 | py | import os
import vanilla.poll
class TestPoll(object):
def test_poll(self):
poll = vanilla.poll.Poll()
r, w = os.pipe()
poll.register(r, vanilla.poll.POLLIN)
assert poll.poll(timeout=0) == []
os.write(w, '1')
assert poll.poll() == [(r, vanilla.poll.POLLIN)]
... | [
"andy@thecablelounge.com"
] | andy@thecablelounge.com |
415935edef31996e2b359804e324f5f7b3d48614 | ab9b75fcdd2b7352968886e5ed41ee7788216226 | /src/gamesbyexample/stickyhands.py | a1af5601756ea83263f3a20e8dd2bb26220102ac | [
"MIT"
] | permissive | mgocken/PythonStdioGames | d7b48cafbc33a027548cab08ad08aea6c0c81abd | 036d2f142581fb74a38400721aecce15a695e1bc | refs/heads/master | 2020-09-29T18:35:34.589307 | 2019-12-06T00:15:46 | 2019-12-06T00:15:46 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,528 | py | # Sticky Hands, by Al Sweigart al@inventwithpython.com
# A jewel-stealing, movement puzzle game.
__version__ = 1
# Inspired by Herding Cats https://w.itch.io/herding-cats
# TODO - Enter R to reset the entire level.
import copy, os, sys
# Setup the constants:
WALL = chr(9608)
FACE = chr(9786)
DIAMOND = chr(9830)
CHA... | [
"asweigart@gmail.com"
] | asweigart@gmail.com |
deb27eae24f4cd46475211751438e904854e037a | fcdfe976c9ed60b18def889692a17dc18a8dd6d7 | /ros/py_ros/kdl_test2.py | 120f3dc29d4eeaee751accf468dd08397df344f3 | [] | no_license | akihikoy/ay_test | 4907470889c9bda11cdc84e8231ef3156fda8bd7 | a24dfb720960bfedb94be3b4d147e37616e7f39a | refs/heads/master | 2023-09-02T19:24:47.832392 | 2023-08-27T06:45:20 | 2023-08-27T06:45:20 | 181,903,332 | 6 | 3 | null | null | null | null | UTF-8 | Python | false | false | 1,517 | py | #!/usr/bin/python
#\file kdl_test2.py
#\brief certain python script
#\author Akihiko Yamaguchi, info@akihikoy.net
#\version 0.1
import numpy as np
from kdl_kin import TKinematics
if __name__=='__main__':
np.set_printoptions(precision=3)
print 'Testing TKinematics (robot_description == Yaskawa Motoman is as... | [
"info@akihikoy.net"
] | info@akihikoy.net |
c008d92d5264518d006a4ff9b43acef4f19e4c38 | 30b004cad2c14b47b5f66c3a4a0015e05ca4a27e | /contrib/data_safety_training/image_classification/submitter.py | 920b60ad8fed2d7ff0b13d17001d8227f3b0abb8 | [
"Apache-2.0"
] | permissive | PaddlePaddle/PaddleFL | 66c26f774eeadc25c12e74056ac389e0c1f61b84 | dcc00c5dff62c3dd0092801f4e9b89d8c0957d3d | refs/heads/master | 2023-08-07T22:05:24.806573 | 2023-03-21T01:15:10 | 2023-03-21T01:15:10 | 210,873,203 | 486 | 136 | Apache-2.0 | 2023-07-26T22:30:57 | 2019-09-25T15:01:39 | Python | UTF-8 | Python | false | false | 1,090 | py | # Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | [
"jingqinghe@baidu.com"
] | jingqinghe@baidu.com |
a844e2ab5bb2d5944f55a1af4f41746ccd02dfc2 | c8ebf4217a96c1a3afc978ac94bdc8738f5120a3 | /staff/utils.py | a207c7a173b04ac4d870cc8b2dab4e17ddfa716a | [] | no_license | vinux84/dept2 | 240bea22205a2a36a88484e669151996c43e5ba8 | 12a558453b22cf00da0001f15225f1c6b37d71ab | refs/heads/master | 2021-09-06T17:20:36.831910 | 2018-02-08T23:08:06 | 2018-02-08T23:08:06 | 112,055,830 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,411 | py | import random
import string
from django.utils.text import slugify
'''
random_string_generator is located here:
http://joincfe.com/blog/random-string-generator-in-python/
'''
DONT_USE = ["create"]
def random_string_generator(size=10, chars=string.ascii_lowercase + string.digits):
return "".join(random.choice(cha... | [
"vincedev8@gmail.com"
] | vincedev8@gmail.com |
1dcc63d83716fd495907c607354e43e5e0f8ea87 | 4210f8105f9e9a097e3544d15ec2c859bc737bf9 | /dictpandas.py | 3e4d82f99249e166d2408c4f08d1a3feff320049 | [] | no_license | Taranjeet0874/Python | f56fb4f39a4a9df22d16c37e5ed808d80c6641c3 | 5749a394099f26fd0f15fe2674035053c297adcb | refs/heads/master | 2022-11-26T21:30:13.044112 | 2020-08-01T12:22:06 | 2020-08-01T12:22:06 | 284,251,181 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | import pandas as pd
dic={'a':7,'b':5,'c':9,'d':2}
dict=pd.Series(dic)
print(dict)
| [
"noreply@github.com"
] | Taranjeet0874.noreply@github.com |
d0abf9db2f89e8b73654b4215f62188526f0ef67 | a5cfc11819dcacc3629aced6bcbe324d694fd3b7 | /CS-UY 1134/HW/HW9/sx670_hw9_q4.py | 28a232af7dfd6e1453d2ddc0617a0b3642df47da | [] | no_license | Kevinxu99/NYU-Coursework | 712d26c808a8d9da94c889cac2cb594881a28c30 | 3b6a896a18e4ee2748fb8cdfdbfd1f6c4c2d212b | refs/heads/master | 2022-04-21T20:43:07.205988 | 2020-04-11T10:39:47 | 2020-04-11T10:39:47 | 254,841,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,038 | py | import random
class Empty(Exception):
pass
class UnsortedArrayMap:
class Item:
def __init__(self, key, value=None):
self.key = key
self.value = value
def __init__(self):
self.table = []
def __len__(self):
return len(self.table)
def is_empty(self... | [
"noreply@github.com"
] | Kevinxu99.noreply@github.com |
73363d48a6cac54ee344107bc25fcafb7a2ad9ea | 276578a3f4747879cbe99425e15daf100fa4e4c2 | /to_do_api/models.py | fd9af7ab348fd45b6ddb4b8da500f55557519a2d | [] | no_license | nadersayed22/to-do-task | 38d5ee06c6258e7ea4ef94bf7d82539b71cf4146 | 1d151918b93eaaa40826a405de9322bdbe82efc2 | refs/heads/master | 2023-04-17T12:13:30.968495 | 2021-04-28T23:15:21 | 2021-04-28T23:15:21 | 356,759,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,249 | py | from django.db import models
from django.contrib.auth.models import AbstractBaseUser, BaseUserManager
from django.contrib.auth.models import PermissionsMixin
from django_timestamps.softDeletion import SoftDeletionModel
from django_timestamps.timestamps import TimestampsModel
# Create your models here.
class UserProf... | [
"nadersayedrabea22@gmail.com"
] | nadersayedrabea22@gmail.com |
b4ae9f1575266b930744a7ac2eb33ce2b5e6389f | 8dcc00b1d3843e5d0734b1978c301f424b4a7019 | /optimize.py | 7c00dd3260feab7443e46c1ff9b2aba3a3e5ee94 | [] | no_license | rezanmz/GNN-NAS | 67804bd22bb3a8456e7542e183b1adc3f07777f3 | ddde87dbf28f2b6a35c14945bed7e872a4d102e3 | refs/heads/main | 2023-08-30T12:19:34.238812 | 2021-09-20T05:25:35 | 2021-09-20T05:25:35 | 408,321,092 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 5,503 | py | import matplotlib.pyplot as plt
from train import evaluate, train
from model import GraphSAGEModel
from utils import coarsen_graph, load_dataset
import optuna
import torch
from tqdm import tqdm
optuna.logging.set_verbosity(optuna.logging.WARNING)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
#... | [
"rezanmz@ymail.com"
] | rezanmz@ymail.com |
fd1276b24ae67a7c8adc75699c9802f83e24adba | e00ecd6c7a0f7e18aaac99b14df7f9c2d72ca421 | /roll_pic.py | 61c1749e9c0c343d6aeb49265c8f1f043ceadd31 | [] | no_license | 10L2002/githubtest | 2981cf0e9d37c3ba30766bfcd5744110648d57cf | e534b919e52fb62391d6a80b018281ff6393ad37 | refs/heads/master | 2020-03-18T16:38:21.357583 | 2018-06-02T20:32:26 | 2018-06-02T20:32:26 | 134,977,521 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,442 | py | def roll_pic(src): #roll sholip logo at random angle
import cv2
import numpy as np
import random
import os
if not os.path.exists("roll_data"): #name of saving directory
os.mkdir("roll_data")
# 画像読み込み(read image)
h, w = src.shape[:2]
size = (w, h)
# 回転角の指定(decide the... | [
"aizatoshouei@gmail.com"
] | aizatoshouei@gmail.com |
1c2460f221cff22e2a2f9a27bdfa673a7bcf0bd1 | 38da215b9b50d0743f34cd0ef38e75db557deeff | /swagger_client/models/time_stream.py | 5f68f77e639429a8fcb857cf578972f5eaba0672 | [
"MIT"
] | permissive | HalestormAI/stravaio | 0742dc5749d90840ef6c4638ca4c3ee3040d57ce | 9d99179eb70bf5219ab4d2c7d7b5d3617457ae9e | refs/heads/master | 2020-09-07T14:57:59.836372 | 2020-02-29T00:03:57 | 2020-02-29T00:03:57 | 220,817,328 | 0 | 0 | MIT | 2020-02-29T00:03:47 | 2019-11-10T16:29:45 | null | UTF-8 | Python | false | false | 6,366 | py | # coding: utf-8
"""
Strava API v3
Strava API # noqa: E501
OpenAPI spec version: 3.0.0
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
from swagger_client.models.base_stream import BaseStream # noqa: F401,E501
class Tim... | [
"sladkovm@gmail.com"
] | sladkovm@gmail.com |
a3ddf601d4a7e710a877f8f29f465f4233f64e46 | 69110d606c5075698620af1c060a08aea6bc83d6 | /user_messages/user_messages/models.py | b41a1f83f0fb4234018a4597ddaaa3b7da69590f | [] | no_license | anusha-vijaykumar/NextNeighbour | 258662023498a88e786615886aafbc1a5459b479 | 682142bd196a27e7b65969e889e3b20eb790a0da | refs/heads/master | 2021-01-10T13:49:18.619431 | 2016-03-08T03:41:31 | 2016-03-08T03:41:31 | 53,366,102 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,795 | py | from datetime import datetime
from django.core.urlresolvers import reverse
from django.db import models
from django.utils import timezone
from django.contrib.auth.models import User
from user_messages.managers import ThreadManager, MessageManager
from user_messages.utils import cached_attribute
class Thread(models... | [
"av1653@nyu.edu"
] | av1653@nyu.edu |
1e4c01ecb330a82e978502397ca4207a7ecf25fd | e3d030829e30e9357d9abcf369b89f23f9cb265d | /Lab 1 API Pam Fields 1-9-2018.py | e749e9ada200e3208a05c9a842564a18097659b1 | [] | no_license | pamsfields/PytonAPI | d382875df9ea5c12442d98a80a5b241e23c0215b | 0139fcc58bd46f92301dbbcad70d91d42a2ce58b | refs/heads/master | 2021-05-13T20:18:44.298069 | 2018-01-11T03:02:39 | 2018-01-11T03:02:39 | 116,910,294 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 472 | py | import requests
import os
key = os.environ['fixer_key']
base_url = "https://fixer.io/latest?symbols="
currency = input('What is the first country to compare currency exchanges? Please use the three letter abbreviation ')
params = {'fixer_key', 't' : currency}
data = dict(dict(requests.get("https://api.f... | [
"noreply@github.com"
] | pamsfields.noreply@github.com |
834f9fe5415648747f7cdd025b3293da95197ed1 | a567d8a737ce56f00c73938fbdd96ed2c6133522 | /playlistlive/player/migrations/0002_auto_20200422_0046.py | 9f1db51e331eb0fb90483535553846316f131760 | [] | no_license | irisswang/djrooms | edd30fe4ec5b6b33684688e8bde2b7854989916c | 58e88c88870af10564a56408ef68439aab425318 | refs/heads/master | 2022-12-03T13:14:52.371720 | 2020-08-21T03:50:09 | 2020-08-21T03:50:09 | 289,170,931 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 534 | py | # Generated by Django 3.0.5 on 2020-04-22 00:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('player', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='room',
name='label',
field... | [
"iriswang@Iriss-MacBook-Pro.local"
] | iriswang@Iriss-MacBook-Pro.local |
d8e20f7f2f4ccbe12262661ca45a1a743d45b15e | a027d95404e5c8e63dc90a561ed595a58605ab72 | /DAT310/Python/assignment 6/gradebook.py | 7ee5ec53c7078dce3a1863d977d9f2156e342957 | [] | no_license | aribo17/repo | 2d4e64cf8272780686eafa065db494de0cfdd035 | b9f182d4a3a94c1a48ebf979889c5e832a732973 | refs/heads/master | 2022-11-30T11:28:45.831789 | 2018-04-30T19:11:54 | 2018-04-30T19:11:54 | 117,899,119 | 0 | 1 | null | 2022-11-25T15:56:39 | 2018-01-17T22:14:02 | Python | UTF-8 | Python | false | false | 5,407 | py | """
Assignment 6B: Gradebook
"""
import os
HTML_FRAME_TOP = "<!DOCTYPE HTML>\n<html>\n<head>\n<title>{title}</title>\n" \
"<link rel=\"stylesheet\" href=\"{css_path}gradebook.css\"/>\n</head>\n<body>\n"
HTML_FRAME_BOTTOM = "</body>\n</html>\n"
class Gradebook(object):
def __init__(self):
... | [
"aoaa17@hotmail.com"
] | aoaa17@hotmail.com |
169b16e41128a5b926ccbc2ac8fca63fb6ec4f99 | ebb2360cd4f6c06a67a41c701f742672163dd9e1 | /day17/day17.py | 8dbaa2ad0d3aee430de37f7ec4c5c52fe7992c92 | [] | no_license | sephirothx/AdventOfCode2020 | 7387cae1e0617be4310cffe0ac63c6d28d2cc15b | 0aaccc7de82329744d484281d2cb36c8860710f6 | refs/heads/master | 2023-02-06T16:11:00.984293 | 2020-12-25T18:10:51 | 2020-12-25T18:10:51 | 317,433,761 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 928 | py | from itertools import product
inp = open('input.txt').read().splitlines()
def solve(dim, cycles=6):
def neighbors(c, count_self=True):
for delta in product([-1,0,1], repeat=dim):
if not count_self and all(d==0 for d in delta):
continue
yield tuple(x+d for x,d in zip(... | [
"step.prosperi@gmail.com"
] | step.prosperi@gmail.com |
9186adbbcc93b2ca3c5ce9855e19456286ca235c | 6c95964cdbca57ee0e68c0cbfe6cf98380222ac6 | /utils_pre/cv_show.py | 6a8a1fd40dded05f300897d7a8f04c99ad1f0613 | [] | no_license | ustcylw/MXTrainV1 | b9a72492e3a04bdecf6ef1a76fbf4af81c923ff3 | a36f56c53e6782f32628572297e63fdb13ddf52d | refs/heads/master | 2023-06-24T17:56:33.169487 | 2021-07-29T07:06:45 | 2021-07-29T07:06:45 | 289,848,695 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,643 | py | #! /usr/bin/env python
# coding: utf-8
import os, sys
import numpy as np
import cv2 as cv
import utils.utils as Utils
import mxnet as mx
def cv_show_image(image, wait_time=0, RGB2BGR=True, name='image'):
if RGB2BGR:
image = cv.cvtColor(image, cv.COLOR_RGB2BGR)
cv.imshow(name, cv.UMat(image))
if c... | [
"469233390@qq.com"
] | 469233390@qq.com |
06b51ef2e0ace62f85db6ec90b93c94fa5739842 | abfd2171bad6d822fdb59b9178d391885266492e | /TGNN_2T/util/data.py | 612fb0ceb666c432cc598479f9c06ed2dcbfc07a | [] | no_license | KRICT-DATA/TGNN_Band_gap | c26971fadfd0bf876f8440011696ec58afecc994 | a95187fb40e544e2ee49e80de39a73dabf8e9a05 | refs/heads/master | 2023-01-23T18:56:59.864663 | 2020-12-04T01:34:57 | 2020-12-04T01:34:57 | 276,809,991 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 171 | py | class AtomwiseCrystal:
def __init__(self, pairs, y, ref_feat, id):
self.pairs = pairs
self.y = y
self.ref_feat = ref_feat
self.id = id
| [
"data@krict.re.kr"
] | data@krict.re.kr |
a31688d8579cfce253b6dac4f680333340f6b0e4 | 0bde5f7f09aa537ed1f4828d4e5ebee66475918f | /h2o-py/tests/testdir_sklearn/pyunit_sklearn_params.py | 2a70a91baafd68393e95b43969166ffea1f8a2ea | [
"Apache-2.0"
] | permissive | Winfredemalx54/h2o-3 | d69f1c07e1f5d2540cb0ce5e6073415fa0780d32 | dfb163c82ff3bfa6f88cdf02465a9bb4c8189cb7 | refs/heads/master | 2022-12-14T08:59:04.109986 | 2020-09-23T08:36:59 | 2020-09-23T08:36:59 | 297,947,978 | 2 | 0 | Apache-2.0 | 2020-09-23T11:28:54 | 2020-09-23T11:28:54 | null | UTF-8 | Python | false | false | 7,702 | py | from __future__ import print_function
import os, sys
from sklearn.pipeline import Pipeline
from h2o.sklearn import H2OAutoMLEstimator, H2OGradientBoostingEstimator, H2OScaler, H2OPCA
sys.path.insert(1, os.path.join("..",".."))
from tests import pyunit_utils
seed = 2019
def test_all_params_are_visible_in_get_para... | [
"noreply@github.com"
] | Winfredemalx54.noreply@github.com |
a5c34785b6e67c5d99db3841e937400c96a08ec5 | 039ef0d50d998ae083ac079c2c4abab50f7b6cc1 | /src/pyfluid/fluidsimulationsavestate.py | b1704097e255faabe5c244dff72dd95ccb83fe43 | [
"MIT"
] | permissive | Computational-Fluid-Dynamics/Fluid-Simulation-for-Computer-Graphics | 37fc2dff5ebe9d3433ba78f1ea171471a8e7c24b | 1df6268e0a7563e3aedecd7bdee4258d41d4e729 | refs/heads/master | 2023-03-21T15:40:58.085143 | 2020-08-27T08:06:33 | 2020-08-27T08:06:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,061 | py | import ctypes
from ctypes import c_void_p, c_char_p, c_int, c_double, byref
from .pyfluid import pyfluid as lib
from .vector3 import Vector3, Vector3_t
from .gridindex import GridIndex, GridIndex_t
from . import pybindings as pb
def _check_load_state_initialized(func):
def wrapper(*args, **kwargs):
self =... | [
"noreply@github.com"
] | Computational-Fluid-Dynamics.noreply@github.com |
17b5eaa33969590f4387243407b4798aca232038 | 061e0fba7861dcc3e4be40bbba7267e42c44d182 | /Task1.py | 6bd52cfc8c35af8d946e223a083980900784b4e1 | [] | no_license | Jimmyqlx/EEGdataClassification | a019a572b5c01a30e5598ff2f168fb9f08f6e506 | 2e7bc82fab06b0db0b82b3c302c49083302ca089 | refs/heads/master | 2021-01-03T02:00:13.068942 | 2020-02-11T21:36:53 | 2020-02-11T21:36:53 | 239,869,229 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,115 | py | from keras.models import Sequential
from keras.layers import LSTM, Dense, Dropout, Masking, Embedding
from keras.layers import Input,Dense, Conv2D, Flatten, MaxPooling2D, Dropout
import numpy as np
import matplotlib.pyplot as plt
import os
import scipy.io as sio
os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE"
dir = '... | [
"noreply@github.com"
] | Jimmyqlx.noreply@github.com |
df281f2293585c2a364e111d49a0b6c16f67a4f0 | 518920276b75b7a1c6f4f4cbae83e11f09946351 | /usedcars1_rodmuesong.py | 9fe188173c731abf04e25f8c925228f05926ae55 | [] | no_license | petasus/twocarsale | 4fd40c3e67b8fa6280d41c57617d8dab663692c6 | cd21c26721e053f6dc02bc11c5588a863a3b2466 | refs/heads/master | 2020-03-27T15:35:14.159112 | 2019-06-28T15:26:29 | 2019-06-28T15:26:29 | 146,727,223 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 12,911 | py | import requests
from bs4 import BeautifulSoup
from upload_data import uploadToSql as uploadDB
import connect
import datetime
import time
keep_sendlink=[] #สร้างฟังก์ชั่นเก็บเว็บไซต์และส่งไปยังอีกไฟล์
db = connect.conDB()
def get_Type(soup): #ประเภทรถ
detail = soup.select("div.content-col div.item-row span")
j=... | [
"tanapat23fsn@gmail.com"
] | tanapat23fsn@gmail.com |
3fd87ba9660551134d9c18266bba46a5294863d3 | 5ade54823f83b2c20b00ea46d1e3bc09846e1215 | /datacube_zarr/utils/convert.py | b6218ecb7d207254be313c7f35f4787919f7ccc7 | [
"Apache-2.0"
] | permissive | opendatacube/datacube-zarr | 5bab8aff0872fa428cd55a7e875b69be78172b6c | 1c05a0c92d81b4235d75bbb01adcb2da9ae8013b | refs/heads/master | 2023-06-08T03:50:18.316962 | 2021-06-30T04:49:31 | 2021-06-30T04:49:31 | 381,565,708 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,207 | py | """
Functions for converting datasets to zarr format.
Conversions are supported on a local filesystem or S3
"""
import logging
from os.path import commonprefix
from pathlib import Path
from typing import Any, Iterator, List, Optional, Tuple
from datacube_zarr.utils.raster import raster_to_zarr
_SUPPORTED_FORMATS = {... | [
"david.cole@data61.csiro.au"
] | david.cole@data61.csiro.au |
376af8d3129802fbb8400585f4e33af5edcb5c18 | e22051c23ede600098376508f43121c9fa35d88d | /rllib_inference/src/battlesnake_heuristics.py | 88b21f2a0d27dc0d806d41622287b692028356ba | [] | no_license | iamwillzhu/LocalEnv | 7265979fe3103b75f459277c5704a5a1f2d2e3df | 4f30d1a3ab0216b12a3a6caca5c134c689affe9d | refs/heads/master | 2022-11-18T15:28:55.486601 | 2020-07-19T21:50:21 | 2020-07-19T21:50:21 | 280,525,426 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,484 | py | # Copyright Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" ... | [
"19693587+iamwillzhu@users.noreply.github.com"
] | 19693587+iamwillzhu@users.noreply.github.com |
3d6f97b441256fac9b6cb66b3166f809ccf49ec4 | 23d952d7d52ce824fdd93f7f6cdb60c962846524 | /3-4_Preparation+Computation/ingredients/scripts/similarity_basic.py | 8ee5c8d3300d8de60c878e88403d73d332e40dd0 | [] | no_license | BigData-Team8/Italian-Cuisine | 9152b3ec73f86081a3bbab9d7aa3078ca3648011 | 37146be0cf98d80d22400b8d2d94cd9e20159237 | refs/heads/master | 2022-12-05T11:01:27.199447 | 2020-08-19T21:13:55 | 2020-08-19T21:13:55 | 287,547,525 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,610 | py | import json
import os, sys
import redis
import nltk
import pandas as pd
"""
from IPython.display import display
"""
pd.set_option('display.max_rows', 5000)
pd.set_option('display.max_columns', 5000)
pd.set_option('display.width', 10000)
# from __future__ import print_function
from nltk.metrics import *
csv = 'ingred... | [
"stefanopardini@gmail.com"
] | stefanopardini@gmail.com |
e9d1caab6dde00c07ce3832efe253d9348ac4a88 | 940dcf18bb1db19610e29902c78ec703690c4297 | /pygame/py002.py | 17a13a71d3e9bdeacc203460516516e052a3e799 | [] | no_license | Sahil4UI/PythonRegular11-12Dec2020 | dc20e8d13d191801301d18d5b92f5775fe9c0674 | 0b22b1d8c703ac21a1f02c2b10f327bcb2e96460 | refs/heads/main | 2023-02-27T13:00:22.415199 | 2021-01-31T06:57:58 | 2021-01-31T06:57:58 | 318,424,644 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,076 | py | import random
import pygame
import time
from pygame.locals import *
pygame.init()
H= 600
W=800
gameScreen= pygame.display.set_mode((W,H))
color= (255,255,255)
red = (255 , 0 , 0 )
blue = (0,0,255)
w=30
h=30
pygame.time.set_timer(USEREVENT,1000)
frog=pygame.image.load("frog.png")#raw string-path
frog... | [
"noreply@github.com"
] | Sahil4UI.noreply@github.com |
664dbeace03e2e09329cf482497d526407c70473 | 05a49b7d914ff4dea0d31d14801a45b571d164f9 | /Exercism Exercises/leap.py | a6093d71f37f3e355112768b6a6529bf68b5c881 | [] | no_license | Kalpesh-Makwana/Python | 68d80eb0ad2987188e3142c5a6be3b360bc284fb | 5bf00776a060d6ecb7cc92644da093ac38a6b19f | refs/heads/master | 2020-12-02T14:16:54.573079 | 2020-04-29T13:11:50 | 2020-04-29T13:11:50 | 231,034,090 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 118 | py | def leap_year(year):
if year % 4 == 0 and year % 100 != 0 or year % 400==0:
return True
return False
| [
"kalpeshmakwna2610@gmail.com"
] | kalpeshmakwna2610@gmail.com |
8793d1216da14a67dcf3182d0cb2892449856995 | 7f601fdb97c992a96e93a9d02e3720d57e191fcf | /djintl/settings.py | 98db185b64269d243e4d51d6d01b8fc24e89906c | [] | no_license | cipang/djintl | 796f9f95b65e82e24bf8c27dff16c24ef50a5bcb | 27b28161e8fe9ceee76fb3167d9b72b44a8cfcbc | refs/heads/main | 2023-09-01T12:44:18.115785 | 2021-11-06T02:24:49 | 2021-11-06T02:24:49 | 425,121,072 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,521 | py | """
Django settings for djintl project.
Generated by 'django-admin startproject' using Django 3.2.9.
For more information on this file, see
https://docs.djangoproject.com/en/3.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.2/ref/settings/
"""
from pathlib ... | [
"mail@patrickpang.net"
] | mail@patrickpang.net |
73b575925f7a11a6fcf9163b2beb965b63a55b09 | a74b58651b4cc7027fce6856d46bb7325a8a949b | /BuildAndroidApplication/src/demo/buildproject/copy_file.py | 45e7543d3cad8b2b54a2d475a1d8ca65c3f9053a | [] | no_license | doncc/worktools | b98890bbba149e29962e077e47b2834bd6c46b28 | d9b52d987c1dda10fda5c033e7225b15d3121b87 | refs/heads/master | 2023-01-24T00:58:25.472987 | 2020-12-01T07:06:39 | 2020-12-01T07:06:39 | 113,950,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,193 | py | # coding=UTF-8
import os
import shutil
import constant
# 通过校验MD5 判断B内的文件与A 不同
def get_MD5(file_path):
files_md5 = os.popen('md5 %s' % file_path).read().strip()
file_md5 = files_md5.replace('MD5 (%s) = ' % file_path, '')
return file_md5
# 拷贝整个目录及内容至新目录
def cpDirs(old_path, new_path):
if os.path.exist... | [
"dongce@youansicheng.com"
] | dongce@youansicheng.com |
ab1103ef8f833e5068f656a077eaf3f8f99bcfb7 | dedb4e01ed0c640612eae17f84bf7ed3da8bce17 | /backend/photosets/api/serializers.py | b1472a3ae238638526e4b9580e0fa04562793c1d | [] | no_license | yakimka/chubbyfolio | 6f26f769fcdfe4714200966188b3f182859ff6fd | 8c8d90a10eb794154d2b283e0795ce327bb78112 | refs/heads/master | 2022-07-24T16:20:55.959859 | 2022-05-04T19:01:51 | 2022-05-04T19:01:51 | 174,234,542 | 0 | 0 | null | 2022-05-04T00:31:03 | 2019-03-06T23:04:40 | Python | UTF-8 | Python | false | false | 805 | py | from rest_framework import serializers
from photosets.models import Photoset, Photo
class PhotoSerializer(serializers.ModelSerializer):
thumbnail = serializers.ImageField()
class Meta:
model = Photo
fields = ('id', 'is_cover', 'image', 'thumbnail',
'date_created', 'date_upd... | [
"ss.yakim@gmail.com"
] | ss.yakim@gmail.com |
fdd0bf61a4c5d7f462b8bf135845df01e7f7da05 | 946a98b6795e8245087543975005e6865b538be3 | /warikan2.py | a69c185f4a9fbfb614ceb3d16c1958a77435048a | [] | no_license | kazu-taka/hello-function | 7c415526e12a17d85987709996a69d364bbe9e62 | 658113b596bd29bf7e360c005f29b192600627e4 | refs/heads/master | 2020-04-07T04:07:39.761775 | 2018-11-18T01:18:10 | 2018-11-18T01:18:10 | 158,040,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 334 | py | def warikan(amount, number_of_people):
return f"1人あたり: {amount // number_of_people}円, 端数: {amount % number_of_people}円"
print(warikan(amount=1500, number_of_people=3))
print(warikan(amount=2000, number_of_people=3))
print(warikan(amount=3000, number_of_people=4))
print(warikan(amount=5000, number_of_people=8))
| [
"k.takahashi@nowall.co.jp"
] | k.takahashi@nowall.co.jp |
521ea38335f0c6bebf7ef64a8d68203c32de69dc | f97cabce5c91238678e159387f03636d4deb90fb | /dajare/crawler_kaishaseikatsu_jp.py | c0bb1bb7c7b5cf459ec22cf9603ddf779b6d4b93 | [] | no_license | vaaaaanquish/dajare-python | 1daa8b4d31a9e3d5e1336d3b31693c1d491ed814 | 150132cef0333a94c9e286c4241af92c630cd7bd | refs/heads/master | 2022-12-10T08:46:42.827279 | 2020-12-11T03:28:54 | 2020-12-11T03:28:54 | 242,304,312 | 16 | 3 | null | 2022-12-08T03:43:06 | 2020-02-22T08:09:23 | Jupyter Notebook | UTF-8 | Python | false | false | 1,010 | py | from tqdm import tqdm
from dajare.crawler import Crawler
class CrawlerKaishaseikatsuJp(Crawler):
def run(self):
output_list = self._run()
self.output(output_list, 'dajare_kaishaseikatsu_jp.json')
def _run(self):
output_list = []
for i in tqdm(range(0, 2200, 100)):
... | [
"6syun9@gmail.com"
] | 6syun9@gmail.com |
018bc11e66b4722cfd30143ace9c0cb24c48ad82 | 45bf1df34f93b3148c62b01afd8d20db889a2148 | /TFIDF.py | 5d6c495e97e243f0d2b993b82de1f63c36aa9f9b | [] | no_license | Suhail98/NLP-machine-learning-classifier-for-reviews | 72ceda4cfae879482aae80b13b6adad140131a8b | 7ee8fd6d82e76385433c14576962f9daa2cfe8d4 | refs/heads/main | 2023-07-12T19:42:44.724764 | 2021-08-23T13:35:23 | 2021-08-23T13:35:23 | 399,116,135 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,871 | py | import os
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from numpy import array
from sklearn.linear_model import LogisticRegression
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
import re
#reading data and shuffle
def read_data():
... | [
"noreply@github.com"
] | Suhail98.noreply@github.com |
46d146530af78700cfd74beb3f489023f1b7682d | f5b62ca8d62efb831001306f8b402bbe6f71a373 | /catkin_ws/src/cmake-build-debug/localization/packages/orb_localizer/cmake/orb_localizer-genmsg-context.py | 94ef4ef86877787d6aa903bf217007a6c30b96eb | [] | no_license | Dokirobot-autonomous/localization_ros | 0771fa47a37200467707a13b23f62ab8036dfb74 | 564b656637afb84aaa7fe6e069f379f71d61a7b8 | refs/heads/master | 2020-03-30T08:33:51.591463 | 2018-10-16T03:43:49 | 2018-10-16T03:43:49 | 151,024,870 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 649 | py | # generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/ohashi/localization_ws/catkin_ws/src/localization/packages/orb_localizer/msg/debug.msg"
services_str = ""
pkg_name = "orb_localizer"
dependencies_str = "std_msgs"
langs = "gencpp;geneus;genlisp;gennodejs;genpy"
dep_include_paths_str = "orb_local... | [
"ohashi@nagoya-u.jp"
] | ohashi@nagoya-u.jp |
fed85186a1b405470991007647327d9d0cea5825 | cde752af8df0ae3007575778ccb0d43c4d5546aa | /checkout/migrations/0003_auto_20200812_0925.py | cbefb02e0d09f27098c40968bdc32939b9fb1a91 | [] | no_license | Code-Institute-Submissions/django-eshop-project | e9f401fca16b4c56f07a66f01accea09999f208e | a6988c80077ca45c62e1753e420616bbc6dc4275 | refs/heads/master | 2022-12-03T19:41:59.428298 | 2020-08-15T14:13:25 | 2020-08-15T14:13:25 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 429 | py | # Generated by Django 3.0.8 on 2020-08-12 09:25
from django.db import migrations
import django_countries.fields
class Migration(migrations.Migration):
dependencies = [
('checkout', '0002_auto_20200808_1341'),
]
operations = [
migrations.AlterField(
model_name='order',
... | [
"jai.austin95@gmail.com"
] | jai.austin95@gmail.com |
c693f5db8f614f95e3a1c00a525aaebceea90a87 | a2277623dee26a0cb76f71092f8a88b363618962 | /list_servers.py | 19fac5a3c8ba0541e315b6ae21eed50406969c2f | [] | no_license | rangsutu88/Azure-Proxy-Gen | 474e560cacd5827a7d0e8e35cd69648873336c96 | 722b7168effea4a14aceae060c79ccf4b1f968ad | refs/heads/master | 2022-11-28T09:17:39.180679 | 2020-08-06T03:10:18 | 2020-08-06T03:10:18 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 86 | py | from Azure import display_servers2
if __name__ == '__main__':
display_servers2()
| [
"noreply@github.com"
] | rangsutu88.noreply@github.com |
887c91e48e6d269539425d8db02eb00ba0c9ec36 | fe6ed003243e2f57fc4cbe82fe71492000718db9 | /bcbio/chipseq/peaks.py | 86f6fdafa93bb2a0794ae7b64e3b5b874b24df6f | [
"MIT"
] | permissive | gifford-lab/bcbio-nextgen | e6f1af9e1bc6afacd2ce4c785af782508732c920 | 52156f1aa6167b870e4387d1976efbd104d2c30c | refs/heads/master | 2021-01-17T22:11:57.474808 | 2016-01-22T10:13:23 | 2016-01-22T10:15:08 | 45,060,650 | 0 | 1 | null | 2015-10-27T18:14:21 | 2015-10-27T18:14:21 | null | UTF-8 | Python | false | false | 2,840 | py | """High level parallel SNP and indel calling using multiple variant callers.
"""
import os
import copy
from bcbio.log import logger
from bcbio import bam, utils
from bcbio.pipeline import datadict as dd
from bcbio.chipseq import macs2
# from bcbio.pipeline import region
def get_callers():
from bcbio.chipseq impo... | [
"lorena.pantano@gmail.com"
] | lorena.pantano@gmail.com |
6699c77e6bdac3ab961e9ae3e1ad3f3c9aaf04a2 | 7112e0e4b4b63228b9e0b4f0931a1870ffe54728 | /src/tests/gate-basic-bionic-stein | 6e24087e8b31a39c4f9cfc77d2120a4aedbc31ce | [
"Apache-2.0"
] | permissive | jlamendo/charm-designate | d45017a0ef904276d24eff9e84de38e9324b156c | 32c71708df04c02ea5fab335246344e03c39f70f | refs/heads/master | 2020-06-18T02:12:54.123654 | 2019-04-19T19:27:49 | 2019-04-19T19:27:49 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 917 | #!/usr/bin/env python
# Copyright 2016 Canonical Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | [
"frode.nordahl@canonical.com"
] | frode.nordahl@canonical.com | |
06dcf6622fdc3c640bb85b1c01cb32e8d2e61985 | dc95aa9f813bf0fea3695f0e479dd892b0a9280b | /image2coord.py | 452df619ec12e44894fb48e05d8aa28a6e933d00 | [] | no_license | martibsk/imageROV | 8f6eea3fa5c5364e60985371f7806e57cbbb7fb8 | 41f623f29571e110a19c58aa173293050cde3a5b | refs/heads/master | 2022-08-14T04:40:29.440244 | 2019-06-06T09:11:10 | 2019-06-06T09:11:10 | 190,339,294 | 0 | 0 | null | 2022-06-21T22:04:52 | 2019-06-05T06:36:30 | Python | UTF-8 | Python | false | false | 1,610 | py | import detector
import cv2
from imutils.video import FPS
import numpy as np
import darknet
import os
import detectorCPU
if __name__ == '__main__':
model = 'sylinder'
input_frame = 'sylinder.mp4'
useGPU = True
if useGPU:
netMain, metaMain = detector.init_yolo(model)
vs = detector.v... | [
"martin.b.skaldebo@ntnu.no"
] | martin.b.skaldebo@ntnu.no |
b540a1018ada187e4e6e105e8d050f936df3061b | f416ab3adfb5c641dc84022f918df43985c19a09 | /problems/advent-of-code/2022/05/sol2.py | 78cf7599b31d96f7b01fd8ad778ed956290eda79 | [] | no_license | NicoKNL/coding-problems | a4656e8423e8c7f54be1b9015a9502864f0b13a5 | 4c8c8d5da3cdf74aefcfad4e82066c4a4beb8c06 | refs/heads/master | 2023-07-26T02:00:35.834440 | 2023-07-11T22:47:13 | 2023-07-11T22:47:13 | 160,269,601 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,530 | py | import sys
def splitInput(lines):
stack_data = []
moves = []
parsing_stack = True
for line in lines:
if not line:
parsing_stack = False
continue
if parsing_stack:
stack_data.append(line)
else:
moves.append(line)
stack_coun... | [
"klaassen.nico@gmail.com"
] | klaassen.nico@gmail.com |
e701b146176a8058895966374a94283d46d3e007 | 70fc834daab609e40dc1d6f67cef7afc525b0ace | /main5.py | 4a91c903c9ad310e98536ff11feb0a256a1b6a07 | [] | no_license | Edvard-Hagerup-Grieg/UNN-AppMath | f8c78921e5ae2392ea0d9d8c1f170beacd6b39f4 | fca3f7e79a98741c9c910895c47141909b6062e6 | refs/heads/master | 2020-04-26T09:16:12.772794 | 2019-04-15T06:14:29 | 2019-04-15T06:14:29 | 173,449,702 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,261 | py | import matplotlib.pyplot as plt
import numpy as np
import math
def f(x, r):
return r*x*(1 - x)
def df(x, r):
return r - 2*r*x
if __name__ == "__main__":
# LAMEREY DIAGRAM & SYSTEM EVALUTION
RUN = True
if RUN:
x0 = 0.4
r = 3.46
xn = [x0]
x = [x0]
y = [0]... | [
"mari.louis.von.franz@gmail.com"
] | mari.louis.von.franz@gmail.com |
2d2abfb70b48554ebe8771630db92de5424a3f98 | b7c18dd657d18d5381ceafaa5fe5089308d2d00f | /test/test_data_lake.py | d762f11217517f2913b8fb4a7c49fae920c16c63 | [
"Apache-2.0"
] | permissive | Bezbran/mongo-python-driver | 06b00b0c89441ed1a290ea0b174a1f4d653b8cd2 | 5332adfe2bb28f8703b0e16f80c0eb351d6201c0 | refs/heads/master | 2023-04-04T07:09:40.274116 | 2021-04-19T12:05:15 | 2021-04-19T12:05:15 | 278,339,341 | 0 | 0 | Apache-2.0 | 2021-04-14T07:31:24 | 2020-07-09T10:55:05 | Python | UTF-8 | Python | false | false | 1,672 | py | # Copyright 2020-present MongoDB, 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 wri... | [
"noreply@github.com"
] | Bezbran.noreply@github.com |
37be2dd7a036a0d6c20d49738fb4226536c20ac2 | ff21f04b692891b13fa2ed49293e5d99fea742db | /hunt/scripts/job_spider.py | 41015307bdb3af0ba459f972c27a7bd7b13714fd | [] | no_license | yangby-cryptape/job-hunter | 3caf49c9290a077661c8e245565132e2a8671c05 | 1b58b2f23ac7d1aba08feaff29692adb8fe58161 | refs/heads/master | 2021-05-27T17:35:09.370516 | 2012-06-25T07:38:06 | 2012-06-25T07:38:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,263 | py | #!/usr/bin/env python
#coding=utf-8
import hashlib, urllib2, time, re
from datetime import datetime
from pyquery import PyQuery as pq
from models import db, Occupational, Job, Company
def get_headers(gzip=False):
headers = {
"User-Agent":"Mozilla/5.0 (Windows; U; Windows NT 5.1; zh-CN; rv:1.9.2.13) Gecko... | [
"thewawar@gmail.com"
] | thewawar@gmail.com |
9a8248760bfd5e16d1a36428beb0e18834029e85 | 3c7913e65c375b3661060f22b4daae83ff1a13b2 | /e.py | 28cd7d5ee70775f7970dd4f70bcaf7d25a20e189 | [] | no_license | Deepesh-Kumar/start-python | 8107e71efe8e2233119632ea4019f75e75148830 | 608f6f14a861fbc962dee07dd8988391890abbff | refs/heads/master | 2021-08-06T02:13:26.754973 | 2019-01-07T03:52:19 | 2019-01-07T03:52:19 | 143,205,114 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 452 | py | #def m(list):
# b = 1
# for i in a:
# b = b * i
# print b
#a = [1,2,3,4,5]
#m(a)
ol = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']
a ='fun thmes!'
op ='aeiou'
k = []
for i in a:
if i.lower() in ol:
i = ol[i + 1]
print i
#for i in a:
# if i not in b:
... | [
"deepeshkumar1991@gmail.com"
] | deepeshkumar1991@gmail.com |
52b6a665d04a47791c6b96f1ac90d1a98523b7ac | 2bd3f4104ab1cbca1cf9a529df53c131f7f82c0f | /get_nltk_corpus.py | 51af25f7682fee3329741ea066b1cc10658fca68 | [] | no_license | Wingtail/next_word_prediction | c01c007c056e696090c973af3b695ba3de891fa6 | 5362c3e1e864545b2651477d440b113f7e407bb1 | refs/heads/main | 2023-02-28T18:58:17.364457 | 2021-02-06T08:26:07 | 2021-02-06T08:26:07 | 334,380,067 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,314 | py | from nltk.corpus import gutenberg, brown, nps_chat, webtext
import os
def get_gutenberg():
#Gutenberg corpus
for fileid in gutenberg.fileids():
print("Gutenberg fileid: ", fileid)
with open("./text_data/"+fileid, "w") as f:
f.write(gutenberg.raw(fileid))
def get_brown():
for fi... | [
"sr9074@gmail.com"
] | sr9074@gmail.com |
96f1f685114c793b03f5d00db5ccf5b4d271a8ad | b47f5ca0a51cf59427b7bd12e9c85064a1e13e03 | /tests/easyci/test_user_config.py | 1c8736e3d3bb8b17d77ff5f9e1a29fd3a58cbbd4 | [
"MIT"
] | permissive | naphatkrit/easyci | a490b57e601bcad6d2022834809dd60cb0902e0c | 7aee8d7694fe4e2da42ce35b0f700bc840c8b95f | refs/heads/master | 2016-09-02T01:14:28.505230 | 2015-09-09T00:26:25 | 2015-09-09T00:26:25 | 41,396,486 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,953 | py | import mock
import os
import pytest
import shutil
import tempfile
import yaml
from easyci.vcs.base import Vcs
from easyci.user_config import (
_config_types, _default_config, load_user_config,
ConfigFormatError, ConfigNotFoundError
)
@pytest.yield_fixture(scope='function')
def repo_path():
path = tempfil... | [
"naphat@dropbox.com"
] | naphat@dropbox.com |
00a25c59ba966ef3a5689248861ee91039bece15 | ab027e5be1181bd0e55bbb80a1c27cff93318483 | /urlis/manage.py | 38e31523f5f7810ccfbba35e072068950b9bd006 | [] | no_license | miri-san-so/Urlis | e1d1961c3510d14c1e8b8fd1c5b10a85842afed8 | e48477682ed861b237958cf219e4d7db6f520d41 | refs/heads/master | 2021-05-28T23:54:25.470278 | 2020-04-09T06:25:08 | 2020-04-09T06:25:08 | 254,288,791 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 646 | py | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'urlis.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
rai... | [
"noreply@github.com"
] | miri-san-so.noreply@github.com |
89a33a2d2fb2a28b98436986b935fd4cbc7f20a7 | 37fef592f365194c28579f95abd222cc4e1243ae | /streamlit/venv/venv/lib/python3.7/site-packages/plotly/graph_objs/splom/marker/colorbar/_tickformatstop.py | a3a8adde9676f505e52d3465cbd3ee72ce684873 | [] | no_license | edimaudo/Python-projects | be61e0d3fff63fb7bd00513dbf1401e2c1822cfb | 85d54badf82a0b653587a02e99daf389df62e012 | refs/heads/master | 2023-04-07T03:26:23.259959 | 2023-03-24T12:03:03 | 2023-03-24T12:03:03 | 72,611,253 | 4 | 3 | null | 2022-10-31T18:10:41 | 2016-11-02T06:37:17 | null | UTF-8 | Python | false | false | 9,564 | py | from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy
class Tickformatstop(_BaseTraceHierarchyType):
# class properties
# --------------------
_parent_path_str = "splom.marker.colorbar"
_path_str = "splom.marker.colorbar.tickformatstop"
_valid_pro... | [
"edimaudo@gmail.com"
] | edimaudo@gmail.com |
01e192a4c835a3d6ec4c29d6fb66176e51359dcb | 7c27898a5f85dedf0dbbb12451b6c635861dc197 | /tornado_overview/chapter03/aiomysql_test.py | 8c3375ad203593d54c3a67dc4692f73aa301b121 | [] | no_license | Asunqingwen/Tornado_test_application | 9323d3289fadf69e7b1e7685da8f631d0e88968f | 4f3a9cda9fc081a8b83f06934bc480cd597d4ad8 | refs/heads/master | 2023-02-18T08:43:58.012236 | 2021-01-21T09:59:57 | 2021-01-21T09:59:57 | 330,935,556 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 662 | py | import asyncio
import aiomysql
from tornado import gen, ioloop
async def go():
pool = await aiomysql.create_pool(host='192.168.10.69', port=3306,
user='root', password='root',
db='message', charset="utf8")
async with pool.acquire() as... | [
"sqw123az@sina.com"
] | sqw123az@sina.com |
429e64977baa323e53d62067c95f88041a1940f3 | 7929367c0d3003cb903c0217b0477abd60e759bc | /lexicons.py | a80dbb4c8fb12d16bad920d09300117dfbcd7421 | [] | no_license | daimrod/opinion-sentence-annotator | cf5a879c9f24c6f47e7d7278ec730899da0e96fd | e487b9a11959876d83316e97c572f0116d982617 | refs/heads/master | 2020-06-21T20:41:37.878330 | 2017-03-08T15:01:20 | 2017-03-08T15:01:20 | 74,770,001 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,329 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
logger = logging.getLogger(__name__)
import reader
import resources as res
# A global variables used to store known lexicons
_lexicons = {}
def get_lexicon(lexicon_name):
"""Return the lexicon designated by lexicon_name.
Args:
lexicon_... | [
"gregoire.jadi@univ-nantes.fr"
] | gregoire.jadi@univ-nantes.fr |
721d597cb8cb7b5d1b57d3e2e737f41435039559 | 0e2c0daf7d7cd3f5b90e41777d482f9d5bf07fab | /black_hat/bhpnet.py | a12954a7360212c207a0aa209bcf3aa0c36a9a99 | [] | no_license | jeffersonvivanco/Python_Notes | d7ec6202de50b99dfe0525e16758b5ac1e978d75 | abc83311644c166484de48b130eae4971cf91733 | refs/heads/master | 2020-03-29T08:13:15.142037 | 2019-12-13T00:19:11 | 2019-12-13T00:19:11 | 94,665,904 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,360 | py | import sys, socket, getopt, threading, subprocess
# Todo: Look up subprocess library
# define some global variables
listen = False
command = False
upload = False
execute = ''
target = ''
upload_destination = ''
port = 0
def usage():
print('BHP Net Tool\n')
print('Usage: bhpnet.py -t target_host -p port')
... | [
"jv1019@nyu.edu"
] | jv1019@nyu.edu |
87e4d72a1446c5d8ab1dc77fc9c1479275a6d6d8 | 580130b81a4e1815fb0fda9351d164cfdd279e44 | /src/anti-vm/macOS/vm-check.py | 6776c4fec84bb4c39fe5b10e5051031599075aa0 | [
"MIT"
] | permissive | Roblinks/malware-techniques | 58b272a10369af587bd9808bf532ea84c743c444 | 2a74265bc74569a4e053d8406ade174e2cdc0a6c | refs/heads/master | 2023-03-17T14:09:06.778972 | 2019-06-15T02:27:03 | 2019-06-15T02:27:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,613 | py | # Different implementations of these mac virtualization detection techniques were used in OSX/MacRansom.
# Objective-See's analysis of this malware can be found here: https://objective-see.com/blog/blog_0x1E.html
# I found his work incredibly helpful as I was researching macOS malware.
import sys
sys.path.insert(0, "..... | [
"aaronlichtman@gmail.com"
] | aaronlichtman@gmail.com |
8e2e47bdb27846e3b8e47cb2a5cef061a461040d | f75221bac60808f81fdee9962d2cdd72f99260f6 | /src/renderer.py | 4aadb0fb60907b4f676fc9672a5974975722cc9d | [
"MIT"
] | permissive | pennomi/nihil-ace | 8d6038f7bff63e62c0e7ff65cce1effa0d514216 | cde9891e6b825089b466b4f10282036f52056a2a | refs/heads/master | 2021-01-10T05:32:59.299479 | 2013-10-10T23:55:42 | 2013-10-10T23:55:42 | 8,436,087 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,526 | py | from pymunk.vec2d import Vec2d
from pyglet import gl
from space import SPACE
SCREEN_WIDTH = 1000
SCREEN_HEIGHT = 700
SCREEN_CENTER = Vec2d(SCREEN_WIDTH/2, SCREEN_HEIGHT/2)
SCREEN_BUFFER = 16
def off_screen(point):
p = adjust_for_cam(point)
scale = SPACE.scale
b = SCREEN_BUFFER * scale
if (p.x < -b o... | [
"thane.brimhall@gmail.com"
] | thane.brimhall@gmail.com |
ce6a731a6ac5188de720f8067367151a6da5e6f5 | 080f170a3ff105a15416a595787efabf0ccd1061 | /tests/environment.py | 0dde8bddf628c6e04e785eb4bf1ef57fd8c43795 | [] | no_license | JKCooper2/rlagents | 16c3eaaf8bd06878e62e94e53338280398c15193 | 652bc4bcfb2426d7d3d437867f0e4ef33838a6c4 | refs/heads/master | 2020-04-11T01:28:44.833663 | 2016-09-07T09:02:11 | 2016-09-07T09:02:11 | 60,885,615 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,555 | py |
from rlagents.env_manager import EnvManager
from rlagents.agent_manager import AgentManager
from rlagents.agents import Agent
from rlagents.models import WeightedLinearModel, TabularModel
from rlagents.function_approximation import DefaultFA, DiscreteMaxFA, SingleTiling
from rlagents.memory import ListMemory, PandasMe... | [
"jesse_cooper@hotmail.com"
] | jesse_cooper@hotmail.com |
e26c9e3d12ba904f4b5590c36fce0d8b72232a86 | af23581c3f0088764d03e58daac8660a763520c5 | /process_txt/translate.py | cc7a9dc5e986b4122938569ce96ed3e7df270367 | [] | no_license | log1206/evaluation_matrix_graph_generator | 7d1b82cc0848f857e5e7e60625bfac302a121f86 | 51c146086fc575d041e4a77a7bcffea15e046f40 | refs/heads/master | 2022-11-04T21:56:13.508189 | 2020-06-22T11:37:47 | 2020-06-22T11:37:47 | 274,119,629 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,323 | py | import re
f = open("usage.txt","r",encoding="utf-16")
f0 = open("time.txt","w",encoding="utf-16")
f1 = open("mem.txt","w",encoding="utf-16")
f2 = open("cpu.txt","w",encoding="utf-16")
f3 = open("gpu.txt","w",encoding="utf-16")
f4 = open("gpu_mem.txt","w",encoding="utf-16")
"""
try:
while True:
contents = f... | [
"xup6m4rmp4@gmail.com"
] | xup6m4rmp4@gmail.com |
2ac6b76fcb536907f37c5e2b85d1aa4c1145f25d | c8cd0d24b50da3497133799c2612bea3108f09b9 | /sentiment-analysis/src/labeler.py | 7060b5289ce0301dd898a00252b67fdb52177de2 | [] | no_license | TravisDunlop/colombia-elections-twitter | d61e08e4bbeb3a6357faee30f17d7037112eeb34 | df42d536ed27a9f9cb65d9c61d0fd9b6e35d4217 | refs/heads/master | 2020-03-16T03:53:34.196212 | 2018-05-19T15:10:35 | 2018-05-19T15:10:35 | 132,498,270 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,387 | py | import pandas as pd
import numpy as np
import os
import json
import re
import gc
import pickle
pd.set_option('display.max_colwidth', -1)
pd.set_option('display.float_format', lambda x: '%.0f' % x)
data_path = "/home/juan/Desktop/Text_Mining/Om_Project/Data"
tables_path = "/home/juan/Desktop/Text_Mining/Om_Project/col... | [
"jsebastiangarcia29@gmail.com"
] | jsebastiangarcia29@gmail.com |
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