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values | gha_event_created_at timestamp[ns]date 2012-06-03 10:21:33 2023-09-14 21:59:50 ⌀ | gha_created_at timestamp[ns]date 2008-03-27 23:40:48 2023-09-13 22:40:33 ⌀ | gha_language stringclasses 250
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classes | length_bytes int64 6 10M | extension stringclasses 289
values | filename stringlengths 1 218 | content stringlengths 6 10M |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
abc9718add43d9ee0381c273797b3561933c7b25 | 6ebc1281f19461838fa0b7a24220446cafb48dac | /Mobile Price Classification/app.py | 19a411973d8a693977b945758c197f442f93722a | [
"MIT"
] | permissive | markbirds/Machine-Learning-Projects | 73b86d91444f6d428c960c715003d39ceebfadf2 | b5db975653853f5a56000090048472541afa51ae | refs/heads/master | 2023-05-06T04:07:01.918759 | 2021-05-29T13:55:35 | 2021-05-29T13:55:35 | 324,064,991 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 644 | py | app.py | import pickle
import sklearn
print('\nMobile price classifier\n')
ram = int(input('Amount of RAM in megabytes: '))
battery_power = int(input('Amount of battery power (mAh): '))
px_width = int(input('Pixel resolution (width - horizontal view): '))
px_height = int(input('Pixel resolution (height - horizontal view): '))
... |
bdfa2de125f1f898d327c90b4919ad070e3cc90d | 0d16ed8dffd7b951abd66bf895c254749ed8195a | /diff.py | 201af99540f881fc579eaa3012ff24c5f25c7800 | [] | no_license | sanjiv576/LabExercises | 1cfea292e5b94537722b2caca42f350ab8fc7ab8 | ef5adb4fbcff28162fe9e3e80782172b93127b33 | refs/heads/master | 2023-07-22T08:13:04.771784 | 2021-08-17T12:23:21 | 2021-08-17T12:23:21 | 372,397,796 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 36 | py | diff.py | a = 77
b = 44
diff = a-b
print(diff) |
320b5b62486266c7f679e1e684e823872f55998b | 0e62f0e46fdf873c43a3d0819a4fdad30ec3b671 | /tutorial/spiders/dmoz_spider.py | be2b6702c18f51be38eda4236ae6cd7a7b83d982 | [
"BSD-3-Clause"
] | permissive | lots-of-things/bracket-madness | 4c8dfebd1b4efe80c6e8b3777b5f0f062fa7c6f5 | b715ae04aefd51e82ca756b8765840d5ca2d3336 | refs/heads/master | 2021-01-01T19:39:23.676504 | 2014-06-03T15:01:02 | 2014-06-03T15:01:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,591 | py | dmoz_spider.py | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 22 20:08:15 2014
@author: will
"""
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request
import re
from tutorial.items import NCAAItem
class DmozSpider(BaseSpider):
name = "dmoz"
baseurl = "http://hom... |
dad81f591963a6b2eaff57f2461cff4d61a36955 | 033dafd9653ceef38ad388f79a6771ed3cf64c9f | /3C_main_study_CSL_optimization/CSL_optimization_SYNTH10.py | b8f5cf88cc8edb841f3a8dcb74148c2bde871187 | [] | no_license | spriyanth/imbalanced_classification | 2e4ed5f3f49614283b1a3ee92cd925797956e878 | ee15121b72ceec73fcb03a0f64484fb3b3beed6b | refs/heads/master | 2022-11-10T13:48:38.921455 | 2020-06-29T17:08:51 | 2020-06-29T17:08:51 | 275,843,741 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,987 | py | CSL_optimization_SYNTH10.py | ############### PACKAGES ###############
### CORE PACKAGES
import numpy as np
import pandas as pd
### SKLEARN
from sklearn import preprocessing
from sklearn import metrics
from sklearn.metrics import make_scorer
from sklearn.model_selection import cross_validate, train_test_split, RepeatedStratifiedK... |
6926b4034b4787277b22d4af0186a958da121add | d43100d78daa1a8167e462e0faaa7d2a0fe97671 | /tournamentcontrol/competition/migrations/0038_match_live_stream.py | 67ba9ca84146e3987657d1fd0cf24fb0a464ae2e | [
"BSD-3-Clause"
] | permissive | goodtune/vitriolic | 1d6ee4758ed41f1674b70311be88c7135b2d1ed0 | d4b3da0a8c9b5ccbda4d898003d82934ccad6a7b | refs/heads/main | 2023-08-22T21:29:05.488534 | 2023-07-23T03:00:16 | 2023-07-23T03:00:16 | 73,355,905 | 0 | 0 | BSD-3-Clause | 2023-09-04T16:25:44 | 2016-11-10T07:06:41 | Python | UTF-8 | Python | false | false | 457 | py | 0038_match_live_stream.py | # Generated by Django 3.2.13 on 2022-07-24 01:52
from django.db import migrations
import touchtechnology.common.db.models
class Migration(migrations.Migration):
dependencies = [
("competition", "0037_alter_match_evaluated"),
]
operations = [
migrations.AddField(
model_name="... |
4037363a401f7cd5a4cc045b3f53afca1a8e1d53 | cfb4f8b2a889617cdc488c4d37369095d3ba3204 | /src/data_structures/hash_tables/hash_table.py | 1550caf45944030bfbdda97779166671a046a23e | [] | no_license | luo-songtao/TheAlgorithmsNotesInPython | f9004ef20cf236ff42bdd8f5e834b01404de99ae | 57d88c512d9f13bc1459db8c7721b6d5f9878160 | refs/heads/master | 2020-12-11T21:16:32.777616 | 2020-02-18T07:31:58 | 2020-02-18T07:31:58 | 233,961,964 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,748 | py | hash_table.py | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Author: Luo-Songtao
# Email: ryomawithlst@gmail/outlook.com
class BaseHashTable:
"""基本哈希表
Attributes:
size: 哈希表大小上限
numberic_hash: 数值hash函数
string_hash: 字符串hash函数
count: 哈希表中已存放数据条目数
"""
def __init__(self, size, ... |
81cdb6054a0c8ef97fa28a01b54418115dab12f0 | cec5c3b669b362de12cd1452b0851d7fcb927841 | /exer13.py | 3fc31889aae1eef27f43ee8ae0870be1206ee95d | [
"MIT"
] | permissive | IuryBRIGNOLI/infosatc-lp-avaliativo-01 | 531cf0b20e0304339e3a7f27cffbb273d4bca100 | d443619b0dc8fc0bbde0b6f4bb1f4a49c6ef200a | refs/heads/main | 2023-07-19T07:21:33.049190 | 2021-08-30T18:16:28 | 2021-08-30T18:16:28 | 401,414,141 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | exer13.py | pre = float(input(("Digite o valor do premio ")))
ct = print(float(((pre/100))))
ds = float(((ct - 0.7)))
pg = print(float((ds - 0.46)))
sg = print(float((pg - 0.32)))
|
20392e5f8c6c2d840772ad59eb4b740ec755eb1b | 3e9c2d9e001f55699958240fb367c2fe2dbe6f3e | /core/migrations/0005_auto_20180924_1245.py | fba91be4556353603c06e6fe35a17d16eaa9b30a | [] | no_license | Mapsred/ESGI5_Python | 1f284ce53fa122d844b65def5ebb8997f6499a91 | 901c8dc76f57c6a5f5e7fe06dc341c6e8b7027b5 | refs/heads/master | 2020-03-28T10:25:23.570337 | 2018-12-30T17:27:59 | 2018-12-30T17:27:59 | 148,107,229 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,339 | py | 0005_auto_20180924_1245.py | # Generated by Django 2.1.1 on 2018-09-24 12:45
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('accounts', '0001_initial'),
('core', '0004_auto_20180921_1407'),
]
operations = [
migrations.Create... |
871aa1ef801cd1f324c1c759f6bca3841b82ac3f | f30b91db647dca1f77fffa4b7e26b6c6a68abbc6 | /7_kyu/Multiplicative Persistence... What's special about 277777788888899?/python/solution.py | 88b41031aed74588293b298cfc6df1d7a4f793e8 | [] | no_license | estraviz/codewars | 73caf95519eaac6f34962b8ade543bf4417df5b7 | 5f8685e883cb78381c528a0988f2b5cad6c129c2 | refs/heads/master | 2023-05-13T07:57:43.165290 | 2023-05-08T21:50:39 | 2023-05-08T21:50:39 | 159,744,593 | 10 | 55 | null | null | null | null | UTF-8 | Python | false | false | 304 | py | solution.py | """Multiplicative Persistence... What's special about 277777788888899?"""
from functools import reduce
from operator import mul
def per(n):
lst = []
while not is_single_digit(n):
lst.append(n := reduce(mul, map(int, str(n))))
return lst
def is_single_digit(n):
return n <= 9
|
a9a704c9e396224315f9009a56bc7b4b5178b8ec | 91414850681051257ad2a375dcb3efda2c4b5b6c | /OpenWifiWeb/forms.py | 22c0ea9bcf1646ab0231f59a18cb7107e9593c4a | [] | no_license | berlin-open-wireless-lab/OpenWifiWeb | 68f0d3ecdf34576c9641f36d7179a99854ce57b2 | e2d0189ddb55911d59d8bd3c085e1c18683a2c15 | refs/heads/master | 2020-05-24T07:13:55.865774 | 2018-12-06T15:54:59 | 2018-12-06T15:54:59 | 84,834,179 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,759 | py | forms.py | from wtforms import Form, TextField, IntegerField, PasswordField, StringField
from wtforms import widgets
class PasswordFieldNonHide(StringField):
"""
A StringField, except renders an ``<input type="password">``.
Also, whatever value is accepted by this field is not rendered back
to the browser like no... |
f858ecdacfe33940b52c65aceb8537cf5e8ac5a0 | 87dacf81e22c738d93e0f1d2f59ff55dffd1aaa8 | /til/urls.py | 769bd54b04aaf4cde330b25c8ba36c756f5f2d8d | [] | no_license | cionman/django_tdd | 7eac30dd8815d3ee16964d7ab61666199c458355 | 52741abfd577c05951d3f88c1c20068458b1f3df | refs/heads/master | 2022-12-23T04:34:10.046674 | 2018-06-29T10:26:20 | 2018-06-30T04:14:33 | 127,107,313 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 122 | py | urls.py | from django.urls import path
from . import views
app_name = 'til'
urlpatterns = [
path('', views.til, name='til'),
] |
14aa3be30f7196dac9564a2dc8fc46fb6bae27b5 | 754855a8233c1b17266acde51535895fa650589e | /classifier.py | 1acbcc57eeacfe1090bc56eeefe51165f3887336 | [] | no_license | naldhelaan/Emotion-analysis-twitter | 5ba074b6e750528b6c59225d06ad1fac1ef672d6 | b0ec02d4aa836c321a86085d4db4b0e2b1ddb884 | refs/heads/master | 2020-06-13T01:11:55.018631 | 2019-06-30T10:13:39 | 2019-06-30T10:13:39 | 138,989,808 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,114 | py | classifier.py | import html
import pickle
import re
import os
import pandas as pd
from keras import backend as K
from keras.models import load_model
from keras.preprocessing import sequence
# Suppress warnings
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.FA... |
692d9cbaefc42141b873bc7642ed0f8dd5f9a82a | 26f94a9f49433b11ad06671affb9e797d9b96960 | /server/blogs/resources.py | a9ea0b2fd82bddaa2e0a8250fe66ef0008dd8a54 | [
"LicenseRef-scancode-unknown-license-reference",
"Unlicense"
] | permissive | eddowh/flask-react-gae-multiuser-blog | b56b0875226cee2543fd69e222691673ad2546f0 | 7979567455936d32ba55c6edf0df82c4670754ef | refs/heads/master | 2021-04-09T10:52:52.398982 | 2016-06-23T03:46:09 | 2016-06-23T03:46:09 | 61,512,197 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,185 | py | resources.py | # -*- coding: utf-8 -*-
from flask import Blueprint, request, g
from flask_restful import Api, Resource
from google.appengine.ext import ndb
from auth import basic_auth
from users.utils import get_user_by_username_or_404
from blogs.mixins import (
ReactionResourceMixin, CommentResourceMixin,
PostResourceMixi... |
2aa26aa8641aff935780c37536e9d45c457c9df5 | 58ab9bf92f3d41b65e461c5083b97e272afa7350 | /day2_password_philosophy/day2-2.py | cd8c183248a671a0673f34da3a538530d9ea75d2 | [] | no_license | minhd2/advent-of-code-2020 | e6c9a9c595dd510d9a82d080bc9ae3f359edfbc3 | c8260c8615ced9ccf13e3eb755cb736b86c465a0 | refs/heads/main | 2023-03-06T18:41:21.599387 | 2021-02-20T01:37:25 | 2021-02-20T01:37:25 | 317,613,089 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 715 | py | day2-2.py |
def password_check(filename):
valid_password_counter = 0
with open(filename, 'r') as file:
for lines in file:
columns = lines.split()
number_index = columns[0].split('-')
letter = columns[1].rstrip(':')
password = columns[2]
first_index = in... |
bbf28dc85fabaf3ae4ad7e345114f3c78d026865 | 2ff23f1563e176dcb17c1a164a0cf302ba7b9a48 | /tests/test_map_array_processes.py | c74458eed48cb6b03b97d079d961fba31f050494 | [
"MIT"
] | permissive | eodcgmbh/eodc-openeo-bindings | 3e2d251447bcf7685b54eaaf0ef585ca0ad27371 | 4e80eba036771a0c81359e1ac66862f1eead407b | refs/heads/master | 2021-07-11T13:04:21.069421 | 2020-10-28T12:12:39 | 2020-10-28T12:12:39 | 209,506,098 | 0 | 0 | MIT | 2020-10-28T12:12:40 | 2019-09-19T08:48:54 | Python | UTF-8 | Python | false | false | 1,085 | py | test_map_array_processes.py | from eodc_openeo_bindings.map_array_processes import *
from eodatareaders.eo_data_reader import EODataProcessor
from test_utils import create_mask
def test_map_mask(eodatareaders_file, eodatareaders_params):
"""
"""
S2_filepath, mask_filepath = create_mask(eodatareaders_file,
... |
517d5ee563ffae7876fb1e04f11146604a2f3947 | 61322f6adcb9e179edec571b93e7873b37c92004 | /tools/proxist.py | 8bf1ae0ba17b98b3874ef21fca735599d2bb8d9f | [] | no_license | CLTanuki/soc_grabber | f7e20b6a7e49dc6c468bbc49af6fb1c5a0957fe5 | 1f7675f2ad2198c6f3e14f9a6afd79b2376a51b7 | refs/heads/master | 2021-06-11T08:44:32.412228 | 2017-03-14T14:56:46 | 2017-03-14T14:56:46 | 23,540,284 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,802 | py | proxist.py | __author__ = 'cltanuki'
import signal
from requests import get, post
import socket
from bs4 import BeautifulSoup
from db_work.models import soc_db, Proxy
from peewee import IntegrityError
class ProxyGrabber():
def __init__(self, collect_mode=False):
self.proxy_dict = {"http": "", "https": ""}
self... |
9a53899f1d007c68729849503cbfef0c539ca62c | 3624d27c1235303fd1c36a99089564e7ea2e3472 | /code_generator_factory.py | 7ece78bcd74b3880633608c817c35c63fb4236e8 | [] | no_license | GeomartBrenthPAbong/SimpleAssembler | faf2d825f69230a6354f1c62b67a34644238f3e2 | 5a19f8a40cae385865d9590e222a6b84ce0f5a95 | refs/heads/master | 2021-01-10T17:32:30.029857 | 2016-01-28T21:53:07 | 2016-01-28T21:53:07 | 50,615,185 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | code_generator_factory.py | from python_code_generator import PythonCodeGenerator
class CodeGeneratorFactory():
@staticmethod
def create(code_type):
if 'python' == code_type:
return PythonCodeGenerator()
else:
raise Exception('Invalid Code Generator.') |
ca948367327154b3372f2963eddd85b0b5e3f8ac | 410e4dc02606ba9aa19296014baefc616f6ad7d7 | /CombineUsage.py | c6a438443f0b37aeb97962b17cca900500f46416 | [] | no_license | jandelee/PCF_Usage | 373bbc5f83c95dac1323935f14561cc728d22e7d | 491713832b38dabaae7bce4183d1795af1c4b44d | refs/heads/master | 2021-04-27T00:08:06.626985 | 2018-06-26T02:08:47 | 2018-06-26T02:08:47 | 123,754,304 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,614 | py | CombineUsage.py | #! python
# CombineUsage.py takes as argument a date string, determines which files in the current directory match that date string, and combines those files
# into a single usage file that is suitable for input to the GenerateBilling.py script
# The environment is automatically extracted out of the filename by looking... |
a834c7f0c31834e2c48ee26e21ae067d638c5996 | 036c69a0c27cfdc0b0d9d6169caf027635b66325 | /leetcode893.py | 0f5ecd84d757ec24c1fa3189b68621a8ad8bd3d8 | [] | no_license | Marco2018/leetcode | 19b6b2c19452babf0198f8705e0dd1f31c321017 | c7dc709a7a9b83ef85fbc2d0aad7a8829f1035d1 | refs/heads/master | 2020-03-23T17:34:09.637831 | 2020-01-18T11:00:36 | 2020-01-18T11:00:36 | 141,865,308 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 881 | py | leetcode893.py | from collections import defaultdict
class Solution:
def numSpecialEquivGroups(self, A):
"""
:type A: List[str]
:rtype: int
"""
if A==[]:
return 0
stack = []
for i in range(len(A)):
dict1,dict2={},{}
for j in range(len(A[i]))... |
202c63a3c91a378f4ec46edc3de5401440af2452 | 4b9d7d85ad6be7a59357b02cef57915aab51a054 | /server/adoptions/urls.py | 5236546b4cf20771de3b8631d0c3764a75a2fb5d | [
"MIT"
] | permissive | tombushmitz86/vims | 17dc601592372447e0dda26e33a548c1c674aa08 | 1dcf1bf655ef8e33092f8e3e4cfbd11e11239e3e | refs/heads/master | 2020-03-18T07:25:37.392264 | 2018-06-10T15:01:58 | 2018-06-10T15:01:58 | 134,451,732 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 310 | py | urls.py | from rest_framework import routers
from . import views
router = routers.DefaultRouter()
router.register(r'adoption', views.AdoptionResource, 'adoption')
router.register(r'package', views.PackageResource, 'package')
router.register(r'delivery', views.DeliveryResource, 'delivery')
urlpatterns = router.urls
|
e9a85354a6ececda618781f89087c2c55aced5bf | f77ef25d26fd194a0eca077e36eeb986cb03f1ae | /createWave.py | d4ed202b315e438504c8081f04a454e8bdc8d356 | [] | no_license | itonorimitsu/acousticMedia | 9bd8cb426a7b6083f928607752a6ef8ca5bc97cb | e2a2dea452a43156c2a6f993392add3d3ea98a1c | refs/heads/master | 2020-03-21T18:40:17.993251 | 2018-07-06T16:02:29 | 2018-07-06T16:02:29 | 138,906,422 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 619 | py | createWave.py | import wave
import struct
from scipy import fromstring, int16
# output.wav /Desktop
wavf = '/Users/itounagamitsu/Desktop/AM_python/output_sin.wav'
wr = wave.open(wavf, 'rb')
# waveファイルが持つ性質を取得
ch = wr.getnchannels()
width = wr.getsampwidth()
fr = wr.getframerate()
fn = wr.getnframes()
print("Channel: ", ch)
print("... |
ff18f6c28f57f50cff16b779be4a8bd80824f489 | 0fea0b40d62b18dddf954841e5d40b3d8626eb0d | /0x02-python-import_modules/2-args.py | 962f20a7a9253863ee86118e9434f3fa3b7011fe | [] | no_license | DevepProd/holbertonschool-higher_level_programming-1 | 6317415f75c413785163dcf0a71cd3c2ece9b17d | 172690a8021c6da7230f7e0964a5cb8a8c3a443d | refs/heads/main | 2023-08-21T22:32:13.378533 | 2021-09-27T06:56:21 | 2021-09-27T06:56:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | 2-args.py | #!/usr/bin/python3
import sys
if __name__ == "__main__":
if len(sys.argv) == 1:
print("{} arguments.".format(len(sys.argv) - 1))
elif len(sys.argv) == 2:
print("{} argument:".format(len(sys.argv) - 1))
else:
print("{} arguments:".format(len(sys.argv) - 1))
for i, argv in enumerat... |
ccb8db8ed4682578001915f512289750bfc3b5eb | 5fef7e0095b57a80ef3672945ac5438db22fcb1f | /Leetcode/872_LeafSimilar.py | aaae347a18f27563a194a96fbc7d4a1b3361a976 | [] | no_license | wbq9224/Leetcode_Python | 0feb8b509ce3ab194fc10a52ed5c90b8bfe12d92 | c1f27c0cec80585095ce98a678ab85079e1a4c46 | refs/heads/master | 2020-03-23T15:02:21.860337 | 2018-09-16T08:48:51 | 2018-09-16T08:48:51 | 141,716,652 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,057 | py | 872_LeafSimilar.py | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
from Leetcode.AimOffer.ConstructBinaryTree import *
class Solution(object):
def traverse(self, root, leaf):
if root is None:
... |
9b5cd8a82230cf71a690213d6156ba0c83aebd8a | 10cdcb7031cd1038a0377f817e82e522bf47ef79 | /evaluation_for_AD_TD_TAD/evaluation_for_TSD_ASD_TASD.py | f40bf68d908b7b3a68318c1eef513df250549024 | [] | no_license | CQUPT-CaiKe/MEJD | 3b2c2c8f5dbbe31322b471c08a6873d3d6b94c7d | afdb426d2e1f5ba5a2750df6cfe6d4326d23a7db | refs/heads/main | 2023-04-13T03:09:16.431209 | 2021-04-22T13:50:45 | 2021-04-22T13:50:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,626 | py | evaluation_for_TSD_ASD_TASD.py | # coding=utf-8
"""evaluate P R F1 for target & polarity joint task"""
import csv
import os
import re
import argparse
def TXT_file(name):
return '{}.txt'.format(name)
def Clean_file(name):
return '{}.tsv'.format(name)
def evaluate_TSD_contain_NULL(path, num_epochs, tag_schema):
best_P, best_R, best_F, best_epoch... |
5ab9d0bf294d7d50b7653493951772ef71fa9eb8 | 393ed07edd1242a26c46757d80c498ee3c6721f4 | /solutions/13_introduction_to_dolfin_adjoint/poisson_dolfin_adjoint.py | 120b2520223c31c6e34cb9152db3844d1bb99628 | [] | no_license | funsim/hub_fenics_workshop | 755e537a62fbbadcf5f7e5f3693545f277846bc4 | 980bacf7764c6ef24828df08f8104d344b36ff5f | refs/heads/master | 2021-05-10T15:44:51.449646 | 2018-01-24T13:30:30 | 2018-01-24T13:30:30 | 118,561,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,174 | py | poisson_dolfin_adjoint.py | from fenics import *
from dolfin_adjoint import *
# Define mesh and finite element space
mesh = UnitSquareMesh(50, 50)
V = FunctionSpace(mesh, "Lagrange", 1)
# Define basis functions and parameters
u = TrialFunction(V)
v = TestFunction(V)
m = interpolate(Constant(1.0), V)
nu = Constant(1.0)
# Define variational prob... |
80335b3828348822328fdd53ec3157876cdcfb8d | eea1c66c80784d4aefeb0d5fd2e186f9a3b1ac6e | /atcoder/abc/abc001-100/abc009/b.py | 099bbca23870fa7d175d8bcc2860ff054f32b53f | [] | no_license | reo11/AtCoder | 4e99d6f40d8befe264761e3b8c33d3a6b7ba0fe9 | 69c6d67f05cb9190d8fb07204488cd7ce4d0bed2 | refs/heads/master | 2023-08-28T10:54:50.859288 | 2023-08-22T18:52:47 | 2023-08-22T18:52:47 | 162,085,118 | 4 | 0 | null | 2023-07-01T14:17:28 | 2018-12-17T06:31:10 | Python | UTF-8 | Python | false | false | 120 | py | b.py | n = int(input())
a = []
for _ in range(n):
a.append(int(input()))
a = list(set(a))
a.sort(reverse=True)
print(a[1])
|
875db855d02e7203142eece0da81a1655e4b413d | b64424fb405dfd9adb63d556b6cd7dbfdae7832d | /protopy/selection/__init__.py | 23b8a5676255cd85cf7c389393c0d5d5ff007d40 | [
"BSD-3-Clause",
"BSD-2-Clause"
] | permissive | antonlarin/scikit-protopy | efcfe4f8c37457ec429effbd9c969ef5c5135d29 | f4deddc42c5883b527d7bb1bfc6d0ece7d01979d | refs/heads/master | 2020-04-06T04:40:17.512347 | 2015-08-19T20:29:06 | 2015-08-19T20:29:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 227 | py | __init__.py | from enn import ENN
from renn import RENN
from allknn import AllKNN
from cnn import CNN
from tomek_links import TomekLinks
__all__ = ['ENN',
'RENN',
'AllKNN',
'CNN',
'TomekLinks']
|
0d24969ee37883c50aac1fa08e4acdf328284151 | c245c5340e0f278dbc7fe4178042bb22b9dceb24 | /main.py | 251f44130c5215609b9f0834d4f04a4e0bdbb151 | [] | no_license | danoco78/oasis | 0d27f0760b31c29d023b951cd9c18a43be2bcc50 | 1ba421d0cfe0c4022fc7a70a706c1a304b9af70b | refs/heads/master | 2022-12-20T00:45:24.744531 | 2020-09-26T22:37:12 | 2020-09-26T22:37:12 | 298,400,490 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 484 | py | main.py | from kivymd.app import MDApp
from kivy.lang import Builder
from kivy.core.window import Window
from kivy.uix.screenmanager import Screen
from baseclass.screen_login import ScreenLogin
from baseclass.screen_home import ScreenHome
Window.size = (350, 550)
class Oasis(MDApp):
def build(self):
self.theme_cls... |
7b21e47a3f7c241c8553ca8639c8e22859ddadbe | 8026529f180a41de486b82462a6410a4eac7ff06 | /model/businessLayer/dbImpl/sys_lib_impl.py | 52becb0c8f646ebfdbaa8e8dad605211270c0516 | [] | no_license | caimi0821/coonever | df5698c362a216306c29cfa82ae97a321c9f6df7 | 57297410a067026038406793affc2dcb7557d537 | refs/heads/master | 2020-12-25T15:30:26.999633 | 2016-05-25T09:33:52 | 2016-05-25T09:33:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,093 | py | sys_lib_impl.py | # -*- coding: utf-8 -*-
#!/usr/bin/env python
'''
实现系统业务的数据库操作部分
原则上制作数据库操作和数据处理
create by chenli at 16/01/07 11:37
'''
from db_base import pg_update
import math
def get_api_by_api(api):
sql = '''
select * from api where api = '%s'
''' % api
return pg_update.selectBySql(sql)
def roles_business_t... |
593ea7138360b329b0ff05453a25d3120f422cde | 84fbf60e9d2a2a7639f4850707a8c9d861765a85 | /database.py | 6a025cd1d73fd36b890e2f793d64b0171d97705d | [] | no_license | exoskelebox/data-collection | babac784b84fd133596f89a7997a080b057d71c0 | 3b1850c8d6ba011277dfd349dcc529d235dbfcbd | refs/heads/master | 2022-07-09T17:16:29.708693 | 2020-03-16T11:46:33 | 2020-03-16T11:46:33 | 239,501,163 | 0 | 0 | null | 2022-06-22T01:12:28 | 2020-02-10T11:59:08 | Python | UTF-8 | Python | false | false | 16,509 | py | database.py | import numpy.random as random
import datetime
import time
from configparser import ConfigParser
import psycopg2
from psycopg2.extras import execute_values
from flask import current_app
SCHEMA = {
'subjects': """
CREATE TABLE subjects (
subject_id SERIAL PRIMARY KEY,
subject_gender CHAR(1) NOT N... |
a1908a578f2f0ebf945d0bd8eba49e60886a16f8 | aac98b3737e5c2b384a87a04e632d8cc19a94039 | /nonogram.py | 98656c64ec9ec200ea671395cee6b6fcd2565952 | [] | no_license | MattJWhyte/nonogram-solver | ec0e74df203ed03531fac255dfbb06628f4a8989 | f18f9d7a3d4684b703620aeea541ea1e18903459 | refs/heads/master | 2020-12-22T22:02:05.335847 | 2020-01-29T11:00:59 | 2020-01-29T11:00:59 | 236,943,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,236 | py | nonogram.py |
# Returns all the possible locations of a block of given length in a set space
# Example:
# block = 2, space = 4
# return : [["B", "B", " ", " "], [" ", "B", "B", " "], [" ", " ", "B", "B"]]
#
def draw_block(block, space):
space = space
block_len = block
lines = []
for offset in range(space-block... |
ed76c0d352fbfbfe3f33c519704a54d682b6cbe7 | a0a8ebec1ea6f36b5f7af1ba8ce28752b26c2c5b | /src/flaskr/app/modules/api/customer/post.py | 6624e387ef0cfc53b9b10e0c14756fe640e7b448 | [] | no_license | IntersysConsulting/mdc_team_b_back | 3fd1a6fad1449ec2999b80587b6d95fe5e789b52 | 0bee8868c95f348b5efd4ea74ecd7d62c8849435 | refs/heads/master | 2020-07-01T09:31:14.284788 | 2019-10-28T21:38:07 | 2019-10-28T21:38:07 | 201,127,916 | 0 | 0 | null | 2021-08-12T16:58:58 | 2019-08-07T21:04:52 | Python | UTF-8 | Python | false | false | 2,190 | py | post.py | from flask import jsonify
from flask_restplus.namespace import RequestParser
from ...resources.customer import CustomerManager
#################
# Parser #
#################
Parser = RequestParser()
Parser.add_argument('first_name',
help='Customer first name',
... |
c7b522b0592ec1c3ec8f516ff038a234b904f2e4 | 35b165030e8bd0d61039f6c1e9eb59882d203f76 | /CRM/models.py | d02d4578b03cb019777d9dceaf2648280048d9aa | [] | no_license | haythamdahri/BANK | ff5c8f7a0e221d607a74f3b9eed40bcc78d46674 | 43c2b88aeac6d5b1ddd98f6eaa98fd22256d7720 | refs/heads/master | 2022-12-14T20:38:23.815384 | 2019-12-25T18:47:39 | 2019-12-25T18:47:39 | 179,663,426 | 0 | 0 | null | 2022-12-08T05:25:06 | 2019-04-05T10:38:56 | Python | UTF-8 | Python | false | false | 4,709 | py | models.py | from datetime import timedelta
import datetime
from django.contrib.auth.models import User
from django.db import models
import uuid
# Create your models here.
from django.utils.timezone import now
from django_countries.fields import CountryField
transactions_types = [('transfer', 'Transfer'), ('withdrawal', 'Withdra... |
289e23fc930510c6ebed7bf6a82db0026bda4ec6 | 531e0829a968da5bd98831533e5117ddb95568a3 | /coordinate_functions/convert_mappoly_tofire.py | 35777fba022194a3a70f1639d3d5ea6e54fdc94d | [] | no_license | keanejohnson/wildfireplus | 43d5e8136eeb673a69f0d8078d7876d05c7623e3 | 7d6f347dd18be7bd6318005648ecd23798b27188 | refs/heads/master | 2022-05-26T09:56:16.011432 | 2020-05-01T02:38:15 | 2020-05-01T02:38:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 857 | py | convert_mappoly_tofire.py | def poly_to_fire(longs,lats):
"""Convert the longitude/latitude polygon from Mapbox input
to Fire CRS (EPSG 3857)
Input: List of Longitudes and Latitudes that form a polygon
Output: List of (X,Y) tuples defining polygon on the fire CRS
"""
import geopandas as gpd
import rasterio as rio
... |
32e171fd2347b1d03332bd7627e59dcb2a81d321 | 3587a7a596cabc92b6dcce1f594de640ac3897a4 | /features/create_features.py | f5485ea964e5892dd6459888fead40ff011d6170 | [] | no_license | globus-labs/covid-analyses | a35d56303daca11d751e9ddd3f7be90ea3fec1bc | a145ed2eb90c9d4d26e1b1d5d20b0569afc29912 | refs/heads/master | 2022-09-05T04:27:00.113885 | 2020-06-01T21:18:07 | 2020-06-01T21:18:07 | 252,787,491 | 7 | 1 | null | 2020-05-28T01:49:15 | 2020-04-03T16:43:29 | Python | UTF-8 | Python | false | false | 9,011 | py | create_features.py | import parsl
import os
import argparse
import re
import time
from pathlib import Path
import math
from fingerprints.fingerprints import compute_fingerprints
from images.images import compute_images
from descriptors.descriptors import compute_descriptors
from inchis.inchis import compute_inchis
from neural_fingerprints.... |
78dae40bfc7633ea1da6dc2ef3d95959b66a08c2 | 8f2aa4aa67653fe307d64b8f3f4a9434e3f45454 | /Data Visualization with Seaborn/Customizing Seaborn Plots/Barplot_with_subgroup_and_subplots.py | 079f72dab525f04cbd40d032891105f51ea8970c | [] | no_license | AndrewAct/DataCamp_Python | 2adc76b59867ca6affc08426234ea89c6d2e91ce | 083d46dcd16a753ab228f9d9515c02f98bf22724 | refs/heads/master | 2021-03-02T10:15:05.526108 | 2020-08-20T03:44:12 | 2020-08-20T03:44:12 | 245,859,094 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 430 | py | Barplot_with_subgroup_and_subplots.py | # 5/2/2020
# Set the figure style to "dark"
sns.set_style("dark")
# Adjust to add subplots per gender
g = sns.catplot(x="Village - town", y="Likes Techno",
data=survey_data, kind="bar",
hue = "Gender")
# Add title and axis labels
g.fig.suptitle("Percentage of Young People Who Like Tec... |
d13a65fc908a7bd45ee829c9171fbdeffe4f2d50 | 454d5110e99123cba0c37bea984c93a5f33edda7 | /GeoOpt_05_mentoring/meshutils.py | 9f8a48ea672629b1cb416c66fb521eb37a6ba16d | [] | no_license | IHoldYA/aia-geo-opt_Mastalski | 05749f76ff93982dd1572d26131255d63c1ba3ab | da3b01c5ef670a528be9fad66e92fe2a68e220a9 | refs/heads/main | 2023-05-25T11:51:30.994007 | 2021-06-08T13:33:49 | 2021-06-08T13:33:49 | 359,763,725 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,953 | py | meshutils.py | import rhino3dm as rg
def makeSampleMesh(U,V):
#creating a simple mesh from a grid of points
mesh = rg.Mesh()
for i in range(U):
for j in range(V):
p = rg.Point3d(i,j,0)
mesh.Vertices.Add(p.X, p.Y, p.Z)
for i in range(len(mesh.Vertices)-(V)):
if ( i... |
04d2d1a812b78a675a031ab03393f490a00a7532 | 386ad3344dd6aa63bd0f0c0355d247a6f681d107 | /grafics.py | 32fab65f63c436e246ec685d3c93c87ec7e9ceb2 | [] | no_license | corbsmaster/Tetris | 6799ae01cc39a5f21d8c8480fbc47a71370b2083 | 4f7dad697c008e7957ae57a2e4071702a7a7248b | refs/heads/master | 2022-11-11T12:41:52.243329 | 2020-06-26T15:00:12 | 2020-06-26T15:00:12 | 274,522,060 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,048 | py | grafics.py | import pygame as pg
config={'sheight':800,'swidth':700,'gheight':20,'gwidth':10, 'block_size':30}
forms_colors = [(242,65,80), (134,244,127), (31,175,191), (191,137,115), (89,89,89), (249,107,55), (202,52,134)]
def draw_window(surface, grid, config):
surface.fill((242,242,242)) # background
... |
206d6c1432c6e507eac35c637de6d0f7bbd3e148 | 98810fbf90a42028915a88bfac9fb8cb8681008e | /azure-devops/azext_devops/devops_sdk/v5_0/nuget/__init__.py | 06b1d983d6fe4317a9a81203bf03885a81693c27 | [
"MIT",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown",
"LicenseRef-scancode-unicode",
"LGPL-3.0-only",
"LicenseRef-scancode-warranty-disclaimer",
"PSF-2.0",
"PostgreSQL",
"LicenseRef-scancode-python-cwi",
"LGPL-2.1-or-later",
"LicenseRef-scancode-proprietary-license",
"LGPL-2.1-only",
"C... | permissive | Azure/azure-devops-cli-extension | ba87357a8243e1318f100791fc32acbb59448d05 | bd34a6fd0658a15dadf6c09c7f6217ca5ffa662b | refs/heads/master | 2023-08-29T10:56:54.228674 | 2023-07-17T04:37:06 | 2023-07-17T04:37:06 | 107,708,057 | 419 | 208 | MIT | 2023-08-02T02:10:10 | 2017-10-20T17:39:11 | Python | UTF-8 | Python | false | false | 962 | py | __init__.py | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... |
ec83225f6e8368951ed410340ed578e4110d3240 | 816b4a00ab192221cbf8e8ff11ef51099064edf3 | /model_train/keras_yolo4/util/voc_anotion.py | 6798e0d1537afb35bee13a6bf35d135e2de423aa | [] | no_license | huachao2017/freezerdl | 089aa584c93f44bb24c7ca68c22369b0f4bcd450 | f30c329654a969dd01fff6347619d35d01ce0419 | refs/heads/master | 2020-12-02T03:02:23.606551 | 2020-07-31T08:55:03 | 2020-07-31T08:55:03 | 230,865,837 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,653 | py | voc_anotion.py | import xml.etree.ElementTree as ET
from set_config import config
sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test')]
def convert_annotation(image_id, list_file,class_names,Annotations_path):
in_file = open((Annotations_path+'%s.xml')%(image_id))
tree=ET.parse(in_file)
root = tree.getroot()
for o... |
6d91bcbf9a2a34cd5113dfc63baf42c29ec8535d | 87fae60c2b9f363db109145ccd1766c9b11f04bb | /GestorConsultas.py | eda1f799ed44b8b221c04a82795e72f67a415f26 | [] | no_license | Castel2/BotSignosVitales | 54bcabf9927899ab08d2d5570f9c488e160b2b35 | 3274b372f14ef23de91b0e7f2cb289a29e020f19 | refs/heads/master | 2023-03-12T23:44:55.231364 | 2021-02-25T15:13:09 | 2021-02-25T15:13:09 | 337,583,219 | 1 | 0 | null | 2021-02-24T23:12:28 | 2021-02-10T01:18:40 | Python | UTF-8 | Python | false | false | 2,430 | py | GestorConsultas.py | import database.db as db
from datetime import datetime
from sqlalchemy import *
from models.Usuario import Usuario
from models.Medicion import Medicion
from models.Observacion import Observacion
# Consulta para obtener los signos de una persona
def get_signos (user_id, fecha_inicial, fecha_final):
fecha_final = fe... |
280072d0fea9f610ee92ad1e9c34f4228c17c6b5 | 11bcb8f37ab047223332e5ec5fcfb402fdfb990c | /RBAC/models/user.py | 86d12067503f4f466009d3f2cabb218e0969f402 | [] | no_license | azilpelwar/RBAC | e43da008ea1b1d7bac4859ed309e435fb385c29a | e3fae63179665158bf168504c109dc3a7085c9ef | refs/heads/master | 2023-01-01T02:45:19.698975 | 2020-10-25T19:46:35 | 2020-10-25T19:46:35 | 306,944,784 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 241 | py | user.py | class User():
def __init__(self, name:str, roles:list):
self.__name = name
self.__roles = roles
@property
def name(self):
return self.__name
@property
def roles(self):
return self.__roles |
18e653def07b0fcf91ccfb93498b48fdd24d7c03 | c02e69ee9f0463448c3d970a0102e4dec30121aa | /parse_arxiv_metadata_threaded.py | be0167192330941dab62cc476f43a737430bb643 | [
"Apache-2.0"
] | permissive | DontWorry33/pdfx | 2c231002280ea97ecfa0040df292e3761bd3595a | ed3039315cf65731eb8a2f89df97298dc2a34d9e | refs/heads/master | 2020-04-20T18:32:52.547459 | 2019-02-06T04:56:19 | 2019-02-06T04:56:19 | 169,024,504 | 0 | 0 | Apache-2.0 | 2019-02-04T03:54:18 | 2019-02-04T03:54:17 | null | UTF-8 | Python | false | false | 6,377 | py | parse_arxiv_metadata_threaded.py | import xmlschema
from pprint import pprint
from lxml import etree
import os
import pdfx
from threading import Thread
from queue import Queue
from pymongo import MongoClient
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-r", "--recover", action='store_true', dest="recovery", default=True,... |
92cd56cd6a868a888767c6354b2e72c7815b0c8f | 514fd4f09243055e4769efb426710338048454b1 | /tensorflow/compiler/tests/tensor_list_ops_test.py | 5c079d595c440cac644f5461154509abe7b1d1ed | [
"Apache-2.0"
] | permissive | nnsuite/ubuntuport-tensorflow | 7fa1d26f3cc282cd725bd87f2864c8ac2e76bf99 | 01ea2d56d3f87063f86076e45673fa49794eebb0 | refs/heads/debian/c_api/1.13.1 | 2022-12-14T03:14:59.691723 | 2022-12-06T07:29:53 | 2022-12-07T00:46:40 | 202,048,406 | 2 | 8 | Apache-2.0 | 2022-12-07T00:46:41 | 2019-08-13T02:36:22 | C++ | UTF-8 | Python | false | false | 4,407 | py | tensor_list_ops_test.py | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
2cf0a3d390d5fb32ee847255bbbdfd3f86094bac | b26b5fdec53532b64c6178b2162a6db1dedec624 | /mold/context.py | 73c2afca6ec232656d0fcf01a8fd4cad070cc7d4 | [
"MIT"
] | permissive | Bogdanp/mold | 815ea4e35107032e970847c46f29fe16ff7b59be | 1a8508b2c9dd59d24f3c41a1aca37970e39fa43d | refs/heads/master | 2020-04-05T23:07:31.545133 | 2017-01-08T09:16:17 | 2017-01-08T09:16:17 | 37,817,944 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,038 | py | context.py | class VariableNotFoundError(Exception):
"""Raised when a variable could not be found in the context of a
template.
"""
class Context(dict):
def __init__(self, filename, **context):
super(Context, self).__init__(**context)
self.filename = filename
def update(self, **context):
... |
19bf227199df9e42db13fe75643c6a61a61b13f3 | c9ebca529d290fc2fa94b5ce5b61657e431260e3 | /interviewcake/mesh-message.py | 23d06043f34615276c4ee6becc973eedcd5d17dd | [] | no_license | aaakashkumar/competitive_programming | 58677e3166636d042d00e1d2be589499c5f17c1a | 575fa25c4586fa41b3d45d95dca6eff9584c3a4a | refs/heads/main | 2023-04-29T03:46:02.911230 | 2021-05-15T10:12:50 | 2021-05-15T10:12:50 | 305,634,254 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,939 | py | mesh-message.py | # MeshMessage
# https://www.interviewcake.com/question/python3/mesh-message?course=fc1§ion=trees-graphs
# @author Akash Kumar
import unittest
from collections import deque
def get_traversal_path(start_node, end_node, previous_node):
"""
Method to reconstruct the path that was traversed to reach to the end... |
95cdcb2eb072e84df6f96f022cc4e7801ed8375f | 945d24cdc979d2a94b8de645290b02963c832303 | /Tarea 6/MCD.py | 14ef7fbf28b75ee677a7f8408d872f225542970b | [] | no_license | MissaelSanchezVillegas/Dise-oDeAlgoritmos | 8ffdfad0f37d6cf22821fa050854e784cb491976 | bf09c43760b5b8e69f205e17f1ac17e88bf4f8c8 | refs/heads/master | 2021-01-11T20:36:04.477013 | 2017-06-02T22:57:10 | 2017-06-02T22:57:10 | 79,150,030 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 390 | py | MCD.py | #Algoritmo de Euclides (divide y venceras)
#parametros
A=84
B=33
def euclides(a,b):
print("A,B",a,b)
if(a==b):
return a
elif(a>b):
c=a//b
r=a-c*b
print("r,c",r,c)
if(r==0):
return b
else:
b=euclides(b,r)
return b
else:
c=b//a
r=b-c*a
if(r==0):
return a
else:
... |
8ed36cc072fb442d8517cc4e966cd0d334e85e07 | 18918c9e21cadd092a94085d87fbb6c74fc9048d | /scripts/unpickle.py | da946b0abf699ff14bd3d1097fc0719be09c78d7 | [
"BSD-3-Clause"
] | permissive | numpand/dill | 2610fabf19f2e85e4c76f66e749521f2fbeee334 | 3ece623fd853ec7210c8ce59f557496c81a1cbd0 | refs/heads/master | 2021-01-21T18:10:34.557147 | 2014-01-30T00:01:07 | 2014-01-30T00:01:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 121 | py | unpickle.py | if __name__ == '__main__':
import sys
import dill
for file in sys.argv[1:]:
print (dill.load(open(file,'r')))
|
e06a085d42c98c4694974666662a0e6144476633 | 7a1a1bf41f6c6def6b2f39963deac1e425b4f56d | /爬虫/practice/spider/socket_test/http_client.py | 845140f182eb5cc7b6b95afe931b5f0bd042391c | [] | no_license | lightflash7/code2 | 1c16d0ed4b49e3e2b62bc941368346967feaf769 | 03749ca21aabc99507687ab6d6999f2547beb831 | refs/heads/master | 2022-12-15T06:53:13.985430 | 2020-05-08T06:18:28 | 2020-05-08T06:18:28 | 240,830,709 | 1 | 0 | null | 2022-11-22T04:00:35 | 2020-02-16T04:23:54 | Python | UTF-8 | Python | false | false | 299 | py | http_client.py | import socket
client=socket.socket()
client.connect(("wwww.baidu.com",80))
client.send('GET / HTTP/1.1\r\n\r\nConnection:close\r\n\r\n'.encode("utf8"))
data=''
while True:
data_byte=client.recv(1024)
if data_byte:
data+=data_byte.decode("utf8")
else:
break
print(data)
|
163b782cc2ca80063beadecaeee59a4f601c2048 | d3313125b53ea8b0aa9bec3cd914eea86b404e2c | /pro1/Tour/code31.py | 0321d54e347ce7772c4b360fedcc135df01c8ea7 | [] | no_license | imji0319/myProject | 15360118386bf3d97ca61f35447e10e8c68bffaa | fbae221b6e2e349798ac51154bcf4fe55fbd4feb | refs/heads/master | 2021-09-10T11:16:20.703215 | 2018-03-25T12:32:02 | 2018-03-25T12:32:02 | 112,733,764 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,909 | py | code31.py | '''
Created on 2018. 3. 18.
@author: jihye
'''
from boto import config
"""
Code 31. 관광지 별 주요 입장객 정보
"""
import os
import sys
import urllib.request
import datetime
import time
import json
# from config import *
import math
def get_request_url(url):
req = urllib.request.Request(url)
try:
... |
07423b815f075178cb15850597195007156004bc | 744abc0c0b6a6fe1aa7ef01447da15a1083c4258 | /scripts/downloader/extract-links.py | 84aa37db0b2875943afadd6f5a1c350c90cbbabe | [] | no_license | phanimahesh/vienna-emscsv-processor | eb5b2e7aa16f5e76aee623b08e9993117d6b87c9 | d186731e87f8f04849346c5b42863ce9ce434c1a | refs/heads/master | 2020-09-17T17:31:57.794154 | 2019-11-27T09:56:55 | 2019-11-27T09:56:55 | 224,106,013 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 375 | py | extract-links.py | #!/usr/bin/env python3
import sys
from bs4 import BeautifulSoup
index_file = sys.argv[1]
urls_file = sys.argv[2]
with open(index_file) as f:
data = f.read()
soup=BeautifulSoup(data, "lxml")
all_links = soup.find_all("a")
file_links=all_links[1:]
urls = map(lambda t: t['href'], file_links)
with open(urls_file,... |
fc49d68a993a36543e6ace301cf1b87c11781e75 | 268ecdf45cdd698dd836099172044f1e268c6ab6 | /Assignment01/Problem02/Policy_Iteration.py | af7f81a8d81e5655b0e49884745b97f1a736a2a4 | [
"MIT"
] | permissive | SaminYeasar/COMP-767-Reinforcement-Learniing | 7ae0eed72d1e8331e5f8ed0a8865d6a61f435831 | 33fc19f4d087619bcfb55bdaf543f69ca60a000f | refs/heads/master | 2022-01-26T12:48:08.627997 | 2019-05-01T04:21:28 | 2019-05-01T04:21:28 | 167,814,741 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,555 | py | Policy_Iteration.py | from gridworld import GridworldEnv
import numpy as np
import gym
from gym import wrappers
import itertools
import argparse
"""
Original Grid world environment was taken from link: https://github.com/dennybritz/reinforcement-learning
I modified it with:
(1) "Terminal states" at being
- Upper left with reward 1.0
- ... |
83316e7120eefab4cf8c1b58e9f6fdecd280bb66 | 734a55826ca2411b451d5dedd9a2120ba6137608 | /test/errors.py | 8ddb2f9384f201ddea5b244dea735a359fe7dcf5 | [] | no_license | potehinre/unispawn | f358e334038a1e131208e579d30b1ea3a2fc61fb | 48f2711f78423aecb4467bd6c50a2fbdfb6fe5ca | refs/heads/master | 2020-04-27T01:08:07.855748 | 2012-07-06T17:12:13 | 2012-07-06T17:12:13 | 2,612,766 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,743 | py | errors.py | import unittest
import sys
sys.path.append("../")
import gevent_aggregator
def collect_urls(urls):
aggr = gevent_aggregator.DependencyAggregator(urls)
return aggr.collect()
class ErrorHandlingTest(unittest.TestCase):
def test_timeout(self):
result = collect_urls({"timeout":"http://localhost:100/t... |
7fcc088a7bd42f748c869db4a1176bbf62a72296 | 3d5808b94160609067905afb475bef9ce250e359 | /valida_recibos_de_pago.py | 3d96a8de412c15839fa79b4c2b577df45e0a2753 | [] | no_license | MColosso/GyG-Recibos | deaa484c752c7745e3763b753e47964620f6146e | 6852e9548d20e32764e0cab47bbc18bbcab88612 | refs/heads/master | 2023-03-03T09:09:22.020339 | 2022-01-22T21:33:42 | 2022-01-22T21:33:42 | 135,823,529 | 3 | 0 | null | 2023-02-11T01:26:30 | 2018-06-02T14:16:06 | Python | UTF-8 | Python | false | false | 2,013 | py | valida_recibos_de_pago.py | # GyG VALIDA CODIGO DE SEGURIDAD
# Verifica si el código de seguridad impreso en el Recibo de Pago corresponde
# con los datos del mismo
"""
POR HACER
-
HISTORICO
- Versión inicial (18/08/2020)
"""
import GyG_constantes
from GyG_utilitarios import input_fecha, valida_codigo_seguridad, _uno... |
67d494573e8986b66339197ea08dcc3f789d7946 | 0110fe464d82a1d93f87eb04262b71235c66c909 | /Code/get__FULL__CurrentData3.py | 861930efa1767e458b6c7f906f97a0b39888c453 | [] | no_license | ErikQ721/ML-Stocks | e9b6938486cad96395a756cdbde2b5712d3c1966 | 412549ce2357078658d7538159fc6de67523d935 | refs/heads/main | 2023-05-26T10:43:10.059660 | 2021-06-07T03:02:40 | 2021-06-07T03:02:40 | 353,536,188 | 0 | 0 | null | 2021-06-07T03:01:44 | 2021-04-01T01:23:54 | Python | UTF-8 | Python | false | false | 10,538 | py | get__FULL__CurrentData3.py |
from datetime import date,timedelta
import pandas as pd
import numpy as np
from tqdm import tqdm
from combineMetricsData3 import combineData
from get__FULL__HistoricalData3 import preprocess_price_data
import fmpsdk
import os
#Step 3: finds the most current data available
def setCurrentDate():
global day_now
... |
e0c86f5ad18b07c3017f7bd36b429f0edd2df651 | 4d77c197527cfd32253735ffc04fcb8ce4b16788 | /urls.py | 0406755dde9bfd027c96974c8dd310e455a2096b | [] | no_license | eykanal/pm | 4fd34a72f54b8eb7e3ef3b22b3dbe42d9ced87f5 | 6d0718e93548b836bbed65cf924c2ac1aac2f938 | refs/heads/master | 2020-05-21T12:50:36.788815 | 2015-08-26T00:08:50 | 2015-08-26T00:08:50 | 41,394,498 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 609 | py | urls.py | from django.conf.urls import patterns, url
from views import *
urlpatterns = patterns(
'',
url(r'^$', Index.as_view(), name='index'),
url(r'^project/new', create_project, name='project-new'),
url(r'^project/(?P<pk>\d+)/edit', EditProject.as_view(), name='project-edit'),
url(r'^project/(?P<pk>\d+)$'... |
8d49ada08814242ec05826cfb030c8fd83ccd917 | 14087f5fc7cb9f051266746f0d7ca97bfaae44f2 | /kbd_rost.py | 30698585047e4941aca66c95ca3c89d25dce5a6b | [] | no_license | Dima-31/AWS | 38103fe20d746375f64cd2c2d766c31260a2670a | 115bf456c5fb4196d12754370a89672666be0d29 | refs/heads/master | 2022-11-16T13:45:52.125752 | 2020-07-17T14:44:20 | 2020-07-17T14:44:20 | 280,446,123 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,388 | py | kbd_rost.py | import requests
from viberbot.api.messages import KeyboardMessage
from viberbot.api.messages import (
TextMessage
)
# опрежедим тут только команды анекдотов
# главная команда во всех файлах одинаковая но импортить будем по разному
from viber.connection import viber_api
cmd_main = "c1_rost"
# под команды ... |
3ecc8375708a7a04107c6799a6eaa42bc3e6998c | b0572624788f5e095fd9ed768235fb375dc228bc | /Activities/FirstActivity.py | d413d6b1ef3810a386141aea6ae9e9a5870c871f | [] | no_license | talrab/Python_selenium | e2f9cb09d1b70611f36da4540c3dae354659df31 | 45bb44cb594d0d1ac6c0c3044b95f3102a61e403 | refs/heads/master | 2021-01-20T13:43:53.275928 | 2017-05-28T07:52:45 | 2017-05-28T07:52:45 | 90,522,284 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,324 | py | FirstActivity.py | from Activities.BaseActivity import BaseActivity
# placing all the locators needed in this page/activity in one place for easy modifications when needed
locators = {
'number' : 'id=digit_',
'minus' : 'id=op_sub',
'plus' : 'id=op_add',
'multiply' : 'id=op_mul',
'divide' : 'id=op_div'... |
0c80021604b77f3fc900db6b8e3d83e4b654ab59 | 6e0cccd33036e7d93bd6d59bfb65a39cc82210e7 | /CursoemVídeo/Estrutura de repetição for(Maior e Menor da sequencia).py | 00a12c7887109cbc08274a0e406cbe3459f9a466 | [] | no_license | ruirodriguessjr/Python | 1c2304c84337138127f67942f6f9b05daf1ec381 | 4725b6e11ce789dfc64f5cdf5ff8555414a8e14d | refs/heads/master | 2020-07-09T02:30:43.881582 | 2019-08-22T18:21:05 | 2019-08-22T18:21:05 | 178,243,563 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 237 | py | Estrutura de repetição for(Maior e Menor da sequencia).py | maior = 0
menor = 0
for pessoa in range(1, 6):
peso = int(input('peso da {}ª pessoa: '.format(pessoa)))
if peso
print('O maior peso lido foi o de {}Kg'.format(totmaior))
print('O menor peso lido foi o de {}Kg'.format(totmenor)) |
43b013d81f345017d23e49244af332611e0c5be7 | 1551f4da57438a7fb661f0c31bbd3cd7233fea4c | /src/data_handling.py | f4c9d543f0bb0d783018a7b35853ed96e0e8eff1 | [] | no_license | shota-h/temporal_disentangle | df4f3d575f457de81c5ac86b557b83087544bed2 | e2eeb56083f9bb986acedc9e89fb8bae45634236 | refs/heads/master | 2023-08-15T19:36:59.713421 | 2021-10-22T10:22:17 | 2021-10-22T10:22:17 | 279,043,424 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,948 | py | data_handling.py | import random as rn
import numpy as np
import h5py
import copy
import torch
def data_review():
with h5py.File('./data/colon.hdf5', 'r') as f:
with h5py.File('./data/colon_renew.hdf5', 'w') as f_out:
key = list(f.keys())
df = pd.read_csv('./data/colon_data2label.csv')
# ... |
6048496cea0e984d1f3a6b09024e23393c1d22b9 | 86d3bb05c6bace40a7281a44b5e4f84d55d461e2 | /ProjetV2/Utilisateur/display_info.sh | 3bf90840e4c988ae0fc4371c12378fa4250ed197 | [] | no_license | VincdeGerminy/Admin_OS_Projet | 2595241e5dab88f6202860080f5110a3f6e11a3d | c2f59eaf72fff975ad48d85f165726eaba2ab83b | refs/heads/master | 2021-04-15T17:07:25.935054 | 2018-04-30T20:44:13 | 2018-04-30T20:44:13 | 126,828,262 | 0 | 0 | null | 2018-04-11T15:00:34 | 2018-03-26T12:51:39 | HTML | UTF-8 | Python | false | false | 890 | sh | display_info.sh | #!/usr/bin/env python
import json
import os
os.system('echo "System Info:"')
def most_recent(type,arg):
f = open('./data/'+type+'.json','r')
f_lines=f.readlines();
last_line=f_lines[len(f_lines)-1]
d=json.loads(last_line)
info=d[arg]
return str(info)
#os.system('echo '+arg+':'+str(cpu))
if (os.path.exists("./... |
8a509d4e59366c9639d685d394b34cb5de65fcf4 | be7728572cecf7cf0450bdda51b0144689536706 | /python/func.py | 42528df1b7f872579321bd47592c9237db8dfbb3 | [] | no_license | suchitramurali/FULL-STACK-DEVELOPMENT | d710664ce73d7fdfb082d4e65c4cb25bdcaa939d | c56d7d2d2c1dc8b2e00ae9bbf86973f912a85a9b | refs/heads/master | 2020-05-01T15:43:30.332371 | 2019-04-26T10:28:55 | 2019-04-26T10:28:55 | 177,553,807 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 96 | py | func.py | def sum(a,b):
x=a+b
return x
a=input("enter a no")
b=input("enter another no")
print sum(a,b)
|
abaa6c9ba0f79c1b07f80b940abe65847d963304 | 06530b932580cfbba9d985f1aa347de9f4ee8fc6 | /Link Prediction/150101038_part1/svm_150101038.py | c24e0285e9059c6b0fe1ae62a36e7e77714f2efc | [] | no_license | mukulv-17/Data-Mining | 7a7cd8277fb9e6835fab32e529ee6e78e1e9d53d | 11d3ad52882bf366312881d826808a727e55e51d | refs/heads/master | 2020-03-29T14:14:01.231674 | 2018-09-23T17:22:21 | 2018-09-23T17:22:21 | 150,006,095 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,090 | py | svm_150101038.py | from sklearn import svm
import networkx as nx
import operator
import math
import numpy as np
import random
from sklearn.model_selection import KFold
from sklearn import metrics
from sklearn.metrics import average_precision_score
from sklearn.metrics import precision_score
from sklearn.metrics import accuracy_... |
f701b2ba69fe9dfe6bd329438c71e6a81ea2c167 | 10f29e48d4b9d5ac38b118799fa8b2807f1d1605 | /src/cli/tests/test_export.py | 871527d567fe1fc1995ad5b6489b4284f7e74e8e | [
"MIT"
] | permissive | dabble-of-devops-consulting/ella | 45786366581bdab900032e54b461aec2d73de2d3 | e38631d302611a143c9baaa684bcbd014d9734e4 | refs/heads/master | 2023-06-20T10:58:41.785263 | 2021-07-08T09:49:12 | 2021-07-08T09:49:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | test_export.py | import tempfile
import os
def test_export_classification(run_command):
tmp = tempfile.NamedTemporaryFile()
tmp.close()
result = run_command(["export", "classifications", "--filename", tmp.name])
assert result.exit_code == 0
assert os.stat(tmp.name + ".xlsx").st_size > 0
assert os.stat(tmp.name... |
d4d7286a269227379b2c6dcc84d018e580b6ea9d | 2d97b1330d61ff74eaabe9a76fc26268b5a04e10 | /tests/services_status_test.py | 303ba149dd67c4350138812e58d6a77d5f3dfa25 | [] | no_license | Lockwarr/Outages | 931103fa4033866382badba24a61b08439547154 | c9e991ee76493ca9c4563b1e3aff0f1e711a3fab | refs/heads/master | 2023-01-30T21:53:14.124305 | 2020-11-28T17:50:55 | 2020-11-28T17:50:55 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,159 | py | services_status_test.py | import unittest
from services_status import ongoingflappingOutages, flappingOutages
outages_no_flapping = [{"service_id": 1704, "duration": 2, "startTime": "2020-07-02 09:01:31"}, {"service_id": 2429, "duration": 1, "startTime": "2020-07-02 00:10:24"},
{"service_id": 1704, "duration": 2, "startTime": "2020-07-02 0... |
bad140b50e0ee9231fa8d7c21b84145ac21ccbd4 | 36d18f9f882b219a4056bc4a638507a013f17e9e | /badcase_analyse.py | 0048147fab83e30c82772cab4921cb7165e4eda0 | [] | no_license | mxmdpc/multi_label_classification_result_analyse | 3c88ed878f476d46204112e5be73e263dd006a95 | 053323cdb09ac868d96bcead1dfa49393d2339f4 | refs/heads/master | 2023-03-24T21:22:25.400883 | 2019-09-26T02:41:14 | 2019-09-26T02:41:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,019 | py | badcase_analyse.py | """
created by xingxiangrui on 2019.5.15
this program is to :
read model validate results and labels
analyse precision, recall, F1 on each class
print and store all bad examples file_name
save bad example size histograms
"""
import torch.utils.data as data
import json
import os
import subprocess
from PI... |
896554ed10ab8cab2b8e911f3b6df1f69fecb2ba | 47e837a1823527f1cd38c6e5135b20b78792459a | /DataAnalysis/analysisWithPandas.py | 9611e1897b4ac5793bd4983a51b969d89ab8da6a | [
"Apache-2.0"
] | permissive | hungryhost/DataAnalysisAndProbability | c904d3e71d76903e013d2463c9b2d7492b02c568 | 679444a488f2c27fd5d8454bb5e184d9a84b7498 | refs/heads/master | 2022-11-24T09:17:02.611416 | 2020-07-30T20:28:33 | 2020-07-30T20:28:33 | 283,867,017 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,948 | py | analysisWithPandas.py | import pandas as pd
import matplotlib as mtl
import numpy as np
import matplotlib.pyplot as plt
fbd = pd.read_csv("filename_1.csv", delimiter=';', sep='\s*,\s*', encoding="windows-1251")
sbd = pd.read_csv("filename_2.csv", delimiter=';', sep='\s*,\s*', encoding="windows-1251")
tbd = pd.read_csv("filename_3.csv", del... |
034da5fe31509f161a65f21b77de68343a8fa843 | 8434d27ef3bd82987e9c1174dd053092d5ddd7ea | /rotkehlchen/accounting/ledger_actions.py | 6b7142146a4fc7bde1b36b803a79fed45ce9a90b | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | LefterisJP/rotkehlchen | dae96d368d59cb387aabd0b792d94126e98aa8f3 | 496948458b89afc41458f19d1cba0e971ab67c8b | refs/heads/master | 2023-09-04T00:56:32.204156 | 2023-08-23T13:52:30 | 2023-08-23T14:46:41 | 127,209,257 | 0 | 0 | BSD-3-Clause | 2020-11-04T13:34:15 | 2018-03-28T23:11:50 | Python | UTF-8 | Python | false | false | 8,163 | py | ledger_actions.py | import logging
from collections.abc import Iterator
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Optional
from rotkehlchen.accounting.mixins.event import AccountingEventMixin, AccountingEventType
from rotkehlchen.accounting.structures.base import ActionType
from rotkehlchen.assets.asset imp... |
c65c261041d47a00ed0cbc41e2231beaff886ceb | 06b8709e8f72351b9a16dbd53d76cebb8b6696c5 | /tabletop/cards.py | d9ec65b1a0b112b4b29cce5b387ab5027f6feedf | [] | no_license | jisaacstone/tabletop.py | e4207c758a5571500ea89aed8585747abc3f9bbd | 10db0207a1fc6dc4ef0b36b2b367e5a7367d1f7c | refs/heads/master | 2021-01-19T07:40:47.362951 | 2013-01-20T19:41:35 | 2013-01-20T19:41:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,210 | py | cards.py | from random import shuffle
import itertools
def poker_card(value, suit=None):
c = dict(value=value, suit=suit)
return c
poker_suits = ["hearts", "diamonds", "clubs", "spades"]
poker_values = map(str, range(2, 11)) + ["J", "Q", "K", "A"]
def poker_deck(jokers=False):
deck = [poker_card(v, s)
... |
f14337429f154a696074e8b8be5372047eafac21 | 66e13bf7a6639cb37fd6d6160945d37119fe6df4 | /Python/Advanced/01.Advanced/13.Lambdas/Ex/t_06_unique_numbers.py | 0699dd041b9c509ae9a80ef6fd4b24b1f916a4c2 | [] | no_license | MeGaDeTH91/SoftUni | 5fd10e55ba3a1700345fec720beac5dc2cd9d18d | a5e50c77d6efe6deddb9be0bdfb87373692aa668 | refs/heads/master | 2023-01-25T05:01:15.172521 | 2021-12-18T22:22:46 | 2021-12-18T22:22:46 | 121,627,540 | 5 | 3 | null | 2023-01-11T22:01:03 | 2018-02-15T12:31:23 | C# | UTF-8 | Python | false | false | 238 | py | t_06_unique_numbers.py | numbers = [round(float(x)) for x in input().split()]
min_number = min(numbers)
max_number = max(numbers)
ordered_numbers = sorted(set(numbers))
print(min_number)
print(max_number)
print(' '.join([str(x * 3) for x in ordered_numbers]))
|
1c4a527c2b3f0e45a05eed4884d6118838721dc7 | 025b1d6de2013fe6ff306b09d57660f1f5e47ca2 | /train.py | 3de717def9b8243288b97b0e48c54fce3bf6f92f | [] | no_license | petko-nikolov/hms-lung-tumour-tracer | eea18cf86c61633b58aff94cd53b4dd55e94c041 | a12ed709804e4aed25c1f07d6a170159e9839416 | refs/heads/master | 2020-04-08T02:14:33.812276 | 2018-11-30T22:00:17 | 2018-11-30T22:00:17 | 158,928,304 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,090 | py | train.py | import tensorflow as tf
import argparse
import glob
import os
from model import (
ConvolutionalSegmentationFirst256, ConvolutionalSegmentationModel,
VGGModel, VGG16Model, ConvolutionalSegmentationModel3D)
import utils
import numpy as np
import pickle
from copy import deepcopy
import pprint
STRUCTURE_CLASS = u... |
4c9d0c94f9176c9f27c54366a8fae13738936c7e | 1244b7a6635af5a1478843d28753ac51d42fb923 | /setup.py | bcad57ad251ba26e277a8d9a2dcdb296780624a8 | [
"MIT"
] | permissive | filwie/cologging | 67491a6ce4aaa16691f65a4bc98179bcc732dfb4 | f5292597f308336cc56863cf53e1104f733274a8 | refs/heads/master | 2020-07-29T12:39:54.578064 | 2019-11-11T19:40:24 | 2019-11-11T19:40:24 | 209,805,874 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 878 | py | setup.py | from setuptools import setup, find_packages
from pathlib import Path
from typing import List
REPO_ROOT = Path(__file__).parent
def readme():
readme = REPO_ROOT / 'README.md'
if readme.exists():
return readme.read_text()
return ''
setup(name='cologging',
version='0.1',
description='Co... |
ec6f0e5dc01c8c8ee73f5a39b8fffef4ed0b72a0 | 55eccd3d451281c4c09f345c03e18db4b4d9d9fa | /scripts/test_sample_entities.py | 76277202bd09d19ff5da0e29d716997eacadf479 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | ibm-watson-iot/functions | 9f2f14e775aa2e0322acd117fda9808a54d1595d | 0b679b1522c4ff62d88c4bbd5cb5b849673b36ea | refs/heads/master | 2023-08-21T23:11:12.555077 | 2023-08-18T11:40:09 | 2023-08-18T11:40:09 | 154,710,665 | 15 | 42 | Apache-2.0 | 2023-09-14T11:49:50 | 2018-10-25T17:23:27 | Python | UTF-8 | Python | false | false | 1,306 | py | test_sample_entities.py | # *****************************************************************************
# © Copyright IBM Corp. 2018, 2022 All Rights Reserved.
#
# This program and the accompanying materials
# are made available under the terms of the Apache V2.0 license
# which accompanies this distribution, and is available at
# http://www... |
623f89c608a0f7cc3be590ea64950a6c1e1cb411 | f4d806bf3b74969f3d97cbe269e87f95c5dae36b | /participants/a903s/subclass.py | 49a2ecb777aa34a07c1911c7a136743faca5ed40 | [] | no_license | krisanalfa/pythonkungfu | ac1fe0d10f6818e5d8e0077d71ce1151b7dd6dd8 | 988cef109dc6c566c966d1cf9a12f6b66c8d9faa | refs/heads/master | 2020-05-18T06:47:21.031404 | 2013-07-13T23:30:47 | 2013-07-13T23:30:47 | 10,502,909 | 0 | 1 | null | 2013-06-26T07:45:38 | 2013-06-05T13:18:12 | Python | UTF-8 | Python | false | false | 890 | py | subclass.py | #!/usr/bin/env python
#class utama
class OS(object):
def __init__(self, name):
self.name = name
def getName(self):
return self.name
def setVersion(self, version):
self.version = version
def getVersion(self):
return self.version
def setFamily(self, family):
... |
62bb3fabbb6f571a5f123f20dd293ba405c4803f | 1f0c11e704d7b6b7fa71412c01b596e6eb0af9a8 | /run_analysis_UnsupervisedClassification.py | 4ed03ad150c8a3a063f2ada4ad2742713ad2282a | [] | no_license | feleaman/nico | 298e1a0f706aa0b441b5fc35b6c7117f6369dd72 | fe5b43c38d6261735098d7132b66e042815b0871 | refs/heads/main | 2021-12-02T23:14:56.723653 | 2021-10-29T14:34:50 | 2021-10-29T14:34:50 | 422,595,252 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,040 | py | run_analysis_UnsupervisedClassification.py | import os
from os import listdir
from os.path import join, isdir, basename, dirname, isfile
import sys
Mypaths1 = ['C:\\Felix\\29_THESIS\\Chapter_4\\04_Data\\Burst_Detector\\Index1\\A_1_Long_BuDe_Index1_AE_Burst_Features.xlsx']
Mypaths2 = ['M:\\Betriebsmessungen\\Getriebepruefstand_FLn\\20180227_Messung_A\\Long',... |
33f527bbadf9df6e2eefc8154326f3d6e01cf342 | 57e1dc52037ce206f6448e9e042da0db04143792 | /tabletalk.recipe | bb0fd7a30ab532c60d8aa7c15ec503c2f93927ac | [] | no_license | pieplu/tabletalk-calibre | 487568a0260c07065a0a15cbf980d3f5052e7896 | 4019fa738dae4029f21b2ecbe9634088d466a991 | refs/heads/master | 2021-07-12T02:22:14.466792 | 2021-04-01T19:05:12 | 2021-04-01T19:05:12 | 102,156,710 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,574 | recipe | tabletalk.recipe | #!/usr/bin/env python2
# vim:fileencoding=utf-8
from calibre import strftime
from calibre.web.feeds.recipes import BasicNewsRecipe
from mechanize import Request
import json
class Tabltalk(BasicNewsRecipe):
appURL = 'https://tabletalkmagazine.com/'
title = 'Tabletalk'
publisher = 'Ligonier Ministries'
... |
a647dd1b55d36086997cf32c459c1d3917dd5a2e | 51aa9e666d22a2e284d3cb2b86ffaa863afaf318 | /2.py | d9a3fb695b33b58c4179eea54d4063642f88da70 | [] | no_license | ArturPalko/-colloquium | 9b2cfa31a783a8880366ae40f5544ff27500645d | 9a6ddc4c491f0e66012beb15efaa0f17470b53af | refs/heads/master | 2022-04-17T02:09:56.072103 | 2020-04-12T20:49:29 | 2020-04-12T20:49:29 | 255,153,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 601 | py | 2.py | '''2. Введіть з клавіатури п'ять цілочисельних елементів масиву X. Виведіть на
екран значення коріння і квадратів кожного з елементів масиву.'''
import numpy as np
import math
a=list()
for i in range(1,6):#Введення чисел
x=(int(input(f'Число{i}=')))
a.append(x)#додавання чисел до списку
b=a[:]
v=np.array(a)#ств... |
35c677bb5b08b43c0ada7edaed83878d29cbd2f8 | 7781fd51a8cba1a01f01801ea8f9355d8efe6fed | /django_gems/json.py | d644318fa0a9d17f2ea8f74e6d8ab1c973b15972 | [
"BSD-3-Clause"
] | permissive | plfiorini/django-gems | c80ff50d57a17178ae32f2aa6fd70d35b94fdb22 | 8437740bb576e03a571d574ab0ff36b2dcf107bf | refs/heads/master | 2020-12-24T16:41:09.127866 | 2017-03-27T15:15:01 | 2017-03-27T15:31:29 | 2,270,479 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 6,118 | py | json.py | #
# Django Gems.
#
# Copyright (C) 2011 Pier Luigi Fiorini
# Copyright (C) 2008-2010 Tobias Llipstein
#
# Author: Pier Luigi Fiorini <pierluigi.fiorini@gmail.com>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. R... |
41dac9e2ca029815414755f1d0ea637e2c2fce79 | b8e35285e3a54f1ae6035e564eab320e40d27727 | /battleship.py | 791367d164e504d925e62c7cf21bf2b43b2fcc05 | [
"MIT"
] | permissive | ZekNikZ/STEMExpoBattleship | 74fcf42486c7a4b4c1511bb85b40372f62c12e7f | b0b4c4b1e0be9cfcf9516654ab4755e75397fa99 | refs/heads/master | 2021-03-19T08:54:07.181819 | 2018-05-29T00:21:04 | 2018-05-29T00:21:04 | 82,943,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 62,208 | py | battleship.py | #!/usr/bin/env python3
from string import ascii_uppercase
from re import fullmatch
from time import sleep
from random import Random
# Default game presets.
testing_preset = {'height': 10, 'width': 10, '5_ships': 0, '4_ships': 0, '3_ships': 0, '2_ships': 2, '1_ships': 0, 'allow_mines': True, 'allow_moves': True, 'mine... |
f1f3a81f99d0c985891e793cd1952f55115b8920 | beba93bfd1ef7506ffac19e93e7e14abfc6b9aa6 | /users/migrations/0002_auto_20200521_0321.py | e26221ea9037a202046f185ef07ad2c495304e7e | [] | no_license | Glazzko/reccomendation-system | 9fde738ecfdefbba4fb13447bda8dd202869c5a7 | 199a7a1347d93955cdc3da5e50d005d8002b72e1 | refs/heads/master | 2023-05-31T22:56:17.872071 | 2021-06-12T22:18:34 | 2021-06-12T22:18:34 | 375,421,326 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | 0002_auto_20200521_0321.py | # Generated by Django 3.0.6 on 2020-05-21 03:21
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='customuser',
options={},
),
... |
840660add4b2ee46aa5f0eb3c301527f850f1c0e | 2e3bca2ada0f5716c840c0c43b15fa573ba2a458 | /api/migrations/0029_auto_20150614_1644.py | 46652310b0129a939ad4860f275ee67c4af7a201 | [] | no_license | 5l1v3r1/tellecast | f4cf227726eee0c2a16b46fe997efccf93d61970 | 9ec0c185f6d2e143f57bd8ca6d442ab05174cc37 | refs/heads/master | 2021-03-31T03:14:16.998773 | 2017-04-13T17:24:34 | 2017-04-13T17:24:34 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 985 | py | 0029_auto_20150614_1644.py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('api', '0028_auto_20150613_2022'),
]
operations = [
migrations.AddField(
model_name='user',
name='is_... |
c724f8c284f87476db535f2e09b2d3686211f96f | f8a52fa991d1b8353d4188c180f4189401ebd6a1 | /notebooks/predictive_modeling.py | 4caf2ee1b6b4ad95885195118598151815cfce90 | [
"MIT"
] | permissive | Abe2G/Bank-Deposit-Subscription-Prediction | 86716b4a63b05c2ec1af2d3c88a4287486853407 | 775ce9d341eae0d1f6eae503cb717e9aba394513 | refs/heads/master | 2022-12-08T22:30:17.200255 | 2020-08-31T07:45:36 | 2020-08-31T07:45:36 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,291 | py | predictive_modeling.py | # -*- coding: utf-8 -*-
"""Predictive_modeling.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1zi3bAy7tdUdV4AoBE1Kj7DywpIW3Gawr
"""
import pandas as pd
import os
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from skl... |
b7f1810f3ac5799fa89db5f9bd146f9b75de273b | e7145e6eed82c7b4157803da97ecf9965501a156 | /audio_system/main_crnn_sed.py | 08a8ab295816094958a4575f1f0bee77beeb2948 | [] | no_license | dannyheard7/audio-visual-sound-event-detection | f613656876f8defe47bdb2c310df965d810ef8a6 | 2b3fabfd74467ae7378191ba172be334de3deb33 | refs/heads/master | 2020-04-23T07:15:39.878406 | 2019-02-16T12:32:56 | 2019-02-16T12:32:56 | 171,001,272 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 12,656 | py | main_crnn_sed.py | """
Summary: DCASE 2017 task 4 Large-scale weakly supervised
sound event detection for smart cars. Ranked 1 in DCASE 2017 Challenge.
Author: Yong Xu, Qiuqiang Kong
Created: 03/04/2017
Modified: 31/10/2017
"""
import sys
import pickle
import numpy as np
import argparse
import glob
import ti... |
90f4eaf30d6e0aa19d959bbb8247d2be91d57d8d | d46f73463a48e37a8e537c0123b74ac17c6f9154 | /scripts/aws/log-group-removal-script.py | 17e5e8ea5486982d137e5f872a14662803b36f3f | [] | no_license | voodooGQ/dotfiles | 94fec012e23357c370907212d6d005837d190a3c | 2444f31898a95aa31bbdc6bc47a653e75b058a85 | refs/heads/master | 2021-06-09T23:29:07.008580 | 2021-04-19T14:01:31 | 2021-04-19T14:01:31 | 52,386,491 | 2 | 1 | null | 2020-11-03T15:20:48 | 2016-02-23T19:42:18 | Vim script | UTF-8 | Python | false | false | 1,301 | py | log-group-removal-script.py | import boto3
# --------------------------------------------------------------
# Delete all CloudWatch log streams.
# --------------------------------------------------------------
def delete_log_streams():
next_token = None
logs = boto3.client('logs', region_name='us-east-2')
log_groups = logs.describe_log... |
10b15c9c23410bb641728c92c52902cc8c8dd90f | a6367e9bbfaec425030a7c0b9307ae11aaa86002 | /1_request.py | 6b021f741278bcd299932aec7e49022aced8d364 | [] | no_license | lcy8417/Python | 55f8a9601de77ca1be70fa50cda9fb21d71becbf | d2de6d36870d76e8aed0a4fceac61cb8d8b4b049 | refs/heads/main | 2023-04-13T13:28:58.447747 | 2021-04-28T18:30:34 | 2021-04-28T18:30:34 | 359,517,223 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 219 | py | 1_request.py | import requests
url = "https://www.google.co.kr/"
res = requests.get("http://google.com")
res.raise_for_status()
print(res.text)
with open("youtube/simple.html", "w", encoding="utf8") as f:
f.write(res.text) |
bec7f7eb21a7cd94f6e1b761dd7580e35fc6c5d6 | f976fdd115f91be43c68a35c5d017719b61d090a | /python/geo_pyspark/tests/test_aggregate_functions.py | 609fe94952ddbab4ffd2e49a972c80fd91934bc4 | [
"MIT",
"Apache-2.0"
] | permissive | shantanuaggarwal2695/GeoSpark | bea093fc3a986a1b85650a0c8312bc744c26ac85 | 24b0fbb219bac7a70b7e6c1af553d90b9f4fd261 | refs/heads/master | 2021-06-23T15:13:09.884412 | 2019-11-18T01:01:53 | 2019-11-18T01:01:53 | 222,335,639 | 0 | 0 | NOASSERTION | 2019-11-18T01:01:12 | 2019-11-18T01:01:11 | null | UTF-8 | Python | false | false | 2,046 | py | test_aggregate_functions.py | from unittest import TestCase
from pyspark.sql import SparkSession
from shapely.geometry import Polygon
from geo_pyspark.data import csv_point_input_location, union_polygon_input_location
from geo_pyspark.register import GeoSparkRegistrator, upload_jars
upload_jars()
spark = SparkSession.builder. \
getOrCreate... |
a75a7f3b613ba1cde6ccd86468c70a25091bcb5a | 375a222af8a11353c86d4bcdfbcb5e6ac1b81a41 | /perceiver/model/text/classifier/huggingface.py | 55df6529df366c67a623e28c062cd23dfcf8e469 | [
"Apache-2.0"
] | permissive | krasserm/perceiver-io | 5a1ac14ea399d46c0331d82d11d8924b91265a31 | 4ac9b2c43164cf0372abf7d0239eba74ef3658e8 | refs/heads/main | 2023-06-25T07:28:11.173330 | 2023-06-12T11:02:45 | 2023-06-12T11:02:45 | 413,288,566 | 334 | 34 | Apache-2.0 | 2023-06-12T11:00:26 | 2021-10-04T05:42:06 | Python | UTF-8 | Python | false | false | 4,052 | py | huggingface.py | from dataclasses import asdict
from typing import Optional
import torch
from transformers import (
AutoConfig,
AutoModelForSequenceClassification,
AutoTokenizer,
PretrainedConfig,
PreTrainedModel,
)
from transformers.modeling_outputs import SequenceClassifierOutput
from perceiver.model.text.classi... |
37add17366de4717900e20441d2f8a836e0bcfb8 | b49df4dda097c5b5952d90ee3d52b415bb477174 | /EasyCloud0.1/ec_index.py | e99314e6a6eb8afcf7410a7cc4a0e381c4ddecb3 | [] | no_license | 529324416/EasyCloud | 0df099e90c18050e5b98045f6f93a60888d0059a | 1dc461db68755fd8cf84b09da8d999adbde5491a | refs/heads/master | 2020-07-21T21:10:24.636900 | 2019-09-17T14:29:07 | 2019-09-17T14:29:07 | 206,975,820 | 6 | 1 | null | null | null | null | UTF-8 | Python | false | false | 4,946 | py | ec_index.py | from flask import Flask
from flask import render_template,make_response,send_from_directory,send_file
from flask import request,session,redirect,url_for
from werkzeug import secure_filename
from ec_config import config as cfg
from ec_utils import *
from ec_verify import verify
from ec_time import Timer
from... |
9c7f32f49de13e9a5456e004464dee315a1ee042 | 898ab6b6aef0b7f8b8aeedc5a431f1e112eaa5b9 | /tournament_of_usos.py | 0014dd474e2ba63fdff5d143efd8e7885d350c82 | [] | no_license | algorias/uso | c985732c452999871e4c4b2556dd7b5ce0560745 | fc2bbb9cfc61a02b99567a97b3f50cb5ca5646d2 | refs/heads/master | 2020-04-01T18:04:20.249392 | 2013-09-05T08:23:58 | 2013-09-05T08:23:58 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,618 | py | tournament_of_usos.py | import itertools, random, multiprocessing, time
from functools import partial
import usolib
from usolib.helpers import *
def runtime_sampled(N, uso):
n_samples = 200
lst = [usolib.randomfacet.randomfacet_sample(uso, N) for i in range(n_samples)]
return sum(lst) / float(n_samples), uso
def runtime_analy... |
77d54b4ec50a0151fcc87ab0e13834270251305d | c14e4a53d1929eab45a7f77ae2ffc9da2486a5bb | /opencv/test.py | 036b4efe6f34df670c2931453acb3ca747fed912 | [] | no_license | hudong-tech/raspiberry | 2993e4ff17f97b8f10e652e915005d7962beee9c | 418d50eb460281811dd58ba869b1787d9341b4de | refs/heads/master | 2022-04-08T21:33:35.287710 | 2020-03-11T05:09:50 | 2020-03-11T05:09:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 775 | py | test.py | import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
img=cv2.imread('car.jpg')
#高斯模糊
guassian=cv2.GaussianBlur(img,(5,5),1)
#灰度图
img=cvtColor(guassian,cv2.COLOR_BGR2GRAY)
#sobel
sobelx=cv2.Sobel(img,cv2.CV_64F,1,0,ksize=3)
sobelx=cv2.convertScaleAbs(sobelx)
sobely=cv2.Sobel(img,cv2.CV_64F,... |
f3670da32ea13759d1e56dbdf59b4081347ac5df | fad0735b7deb42e05a765366e31cf4427f1bc09c | /record.py | 2220c556a5f170cadca170f98fc320571e3ab57f | [] | no_license | ZanderChang/pku-tensorflow | c510f84eef43ebe99003f15d494c7265aab45ac1 | c4e6ab47db0d78a86197289aa4676c5d3fb29d79 | refs/heads/master | 2020-04-13T05:37:26.263075 | 2019-01-14T06:45:03 | 2019-01-14T06:45:03 | 162,997,185 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,415 | py | record.py | # coding:utf-8
import tensorflow as tf
import numpy as np
# 输出y -> Softmax -> y_交叉熵
ce = tf.nn.sparse_softmax_cross_entropy_with_logits(
logits=y, labels=tf.argmax(y_, 1))
cem = tf.reduce_mean(ce)
# 学习率衰减
# staircase=True 学习率阶梯衰减
global_step = tf.Variable(0, trainable=False)
learning_rate = tf.train.exponential_... |
732538ed4201cf2415e1e7942c5f1b531d612977 | 4de6b34725d5c2ebf303d01e1d8dfec0e737d0c6 | /appiumTest/WebBase/contact_list_page.py | ee43628d5bc9744dd0f06adbfe2fd67f789be0ca | [] | no_license | wenshu520/testLearning | b06927e0b430239b4b9d0786bd198d99000770d5 | 7ff8d89ffa9a4ea3bbda3f2817febf2d3238c44f | refs/heads/master | 2023-04-07T03:42:20.795656 | 2021-04-06T09:05:48 | 2021-04-06T09:05:48 | 352,294,593 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,074 | py | contact_list_page.py | from appium.webdriver.common.mobileby import MobileBy
from appiumTest.WebBase.add_member_page import AddMemberPage
from appiumTest.WebBase.base_page import BasePage
from appiumTest.WebBase.user_info_overall_page import UserInfoOverallPage
class ContactListPage(BasePage):
def move_to_add_memeber_page(self):
... |
fa139c5cebdcf5317c6eb7d02e583f413ea04c6d | e49e8156ef0368214adeb9696ae9f2b24ca5b777 | /Python/30_DigitFifthPowers.py | 7055c92ee6aaef154e60b09ec97f769bd4aab8af | [] | no_license | Prakhar-Saxena/ProjectEulerSolutions | fe6516b60254cb6cd93825e70d47e9a562168eb1 | 987583a2547fea0304e2e8443265f0d7544373ec | refs/heads/master | 2021-11-11T18:08:59.097804 | 2021-11-07T16:59:22 | 2021-11-07T16:59:22 | 154,599,440 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 416 | py | 30_DigitFifthPowers.py | #!/usr/bin/env python3
ls=[]
def getFifthSquareSum(x):
sum = 0
for i in x:
sum += (i^5)
return sum
def getDigits(x):
l = []
num = x
rem = 0
while num != 0:
rem = num % 10
num /= 10
l.append(rem)
return l
x = 1
print (9^5) * 5
count = 1
answerList = []
while count <= ( ( 9 ^ 5 ) * 5):
if getFifth... |
03eda2ad02f9ad425bb9f7f3c01c52f431187f78 | b1dcb52f42423426b77b242f148e6354d403e1f7 | /spam/mdl/accn/conf.py | 132d8116ffccc6b7e56bdb7825c0f6cc507b2be9 | [] | no_license | valdy2424/PhishingEmail-TELEGRAMSPAMbrutal | 57dd22f673877da6d3548a01f0002d12126a53d7 | 5bf7fa8cfe545faafe6b688a36427ad43b109fa0 | refs/heads/main | 2023-02-04T03:50:37.262084 | 2020-12-22T17:23:32 | 2020-12-22T17:23:32 | 323,573,799 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 39 | py | conf.py |
dat = str("anonytwnty24@gmail.com") |
ad712c786e7dc00779517500f68e6a6449748cc8 | 368848c16e63d8fb65dc96d08ff7ebb200c091d2 | /client.py | afe52e319f39efcc9984c7454e8a48dd783c9ef3 | [] | no_license | mayer-qian/20200311 | ac7b33d6d80693349ef9ee00feda9f0c10ac897a | 1fca7c65a3036b49a1eb589d491d783db58b59ed | refs/heads/master | 2021-03-18T11:50:23.478379 | 2020-03-13T13:06:24 | 2020-03-13T13:06:24 | 247,073,212 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 35 | py | client.py | import server.py
@server.response
|
568c0d59172aafd1dca13d48d77e531de10a29ea | 78b64f8e42c48a55d3f1f2a218c067efdf53e5c8 | /binance_algotrader/binance_account.py | c548c069cb7143902878b1d8d92a31077e8f9d9a | [] | no_license | mko237/btc-auto | 510e9709ebd5edaed6e21faed9f325029f08ff90 | 2a669ed3a34eee74162d63ee7f68f46b9ce6ac04 | refs/heads/master | 2021-06-02T12:37:09.130451 | 2018-09-27T10:57:18 | 2018-09-27T10:57:18 | 139,184,805 | 0 | 1 | null | 2021-06-01T22:35:11 | 2018-06-29T18:51:12 | Python | UTF-8 | Python | false | false | 5,377 | py | binance_account.py | import os
from binance.websockets import BinanceSocketManager
import configparser
from binance.client import Client
from datetime import datetime
class Account():
def __init__(self):
self.last_updated = 'xxx'
def get_balance(self):
pass
def get_positions(self):
... |
37b895a8b43f5ad7c16f312b328214a7cb5b74c6 | 25adc49609432a43962c6a87c2455fab3cf84c74 | /Bookstore/bookstore.py | db9de4cde0bd0e92fe6ea3be8dc0c1799ed94c24 | [] | no_license | nanatap/python_bookstore | 09ed87385145945ddc846c27fbb614c61fe41683 | 0fe0da515ed26bbbc78a60285184a5530a423323 | refs/heads/main | 2023-04-07T02:48:08.333611 | 2021-04-13T17:37:40 | 2021-04-13T17:37:40 | 357,636,563 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,792 | py | bookstore.py | """Desktop application storing the book database. It has 5 main functions,
1) View all books in the database,
2)select desired row and modify the book information,
3) Add new book,
4) Search for the specific book
(it has an exact search, meaning that, you need to input at least one full parameter: full name of the boo... |
650b52bc454f59bbecdbc4a7b70ad6edc3dbecb9 | 0cdc9876bbd8278164b60b5bd6b7a65ee4f34c62 | /client/app/exceptions.py | f81f2b8a29189bbb3685026504484f62004b249b | [] | no_license | rodrigobello/redes-udp | cd5a0ca86271283ecc5ac01596822476348a0a2d | fa4e14aefd5094d5562a2ec23d846981977b14df | refs/heads/master | 2020-04-09T15:01:46.778980 | 2018-12-16T15:11:22 | 2018-12-16T15:11:22 | 160,413,882 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 552 | py | exceptions.py | class CreateSocketException(Exception):
def __init__(self, msg):
super().__init__('[Fail to create socket] {}'.format(msg))
class SendMessageException(Exception):
def __init__(self, msg):
super().__init__('[Fail to send message] {}'.format(msg))
class ReceiveResponseException(Exception):
... |
1f02a69e19ea731abc930b4ee911d994a696dfe3 | 2daedaa3d59fdac3d8658eb6249402ee9681fa9d | /SFX_Helpers/SFX_Save_Action.py | 91a93bf4512857906f0a1ff92c89ff22f3bb1e6a | [] | no_license | wiredworks/wiredworks_winches | c0d3c058f3ece3295551899c0c1f50d611fbe84e | 4b6b11ff6490b76d016ca8401f715e5465ac9e14 | refs/heads/master | 2023-02-11T15:43:57.777256 | 2021-01-05T20:13:10 | 2021-01-05T20:13:10 | 293,483,228 | 15 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,226 | py | SFX_Save_Action.py | import bpy
import json
from .. Node.SFX_Action_Props import SFX_Action_Props
from .. exchange_data.sfx import sfx
def write_some_data(context, filepath, action, description):
f = open(filepath, 'w', encoding='utf-8')
Data = (str(action.id) +';'+ # 0
action.name +';'+ # 1
... |
efb138f8c5cba031a485ba810b40eb2b6f92b26f | 7a292128da7334b9e0296e903f13a95e5ab547ac | /code_challenges_python/codility_cyclic_rotation.py | 34f2c87cdb5f2394706b74c889d9ddf037b83ced | [] | no_license | justinbourb/coding_challenges | 6502f88c1aa2ab34db7db148bf697bdb1cca504b | c894c1f3050a764711cb6f8f34023f4feb4ddbef | refs/heads/master | 2023-09-05T19:18:56.651681 | 2021-10-07T02:58:02 | 2021-10-07T02:58:02 | 408,491,433 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,456 | py | codility_cyclic_rotation.py | """
9-2-21
An array A consisting of N integers is given. Rotation of the array means that each element is shifted right by one index, and the last element of the array is moved to the first place. For example, the rotation of array A = [3, 8, 9, 7, 6] is [6, 3, 8, 9, 7] (elements are shifted right by one index and 6 is... |