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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43c8d1a9b3efa665b4fb6fc75672a0ecd4805a45 | 42bee9a601e102ce884382f8e9ba125c8c9d7468 | /signs/migrations/0009_auto_20161222_2030.py | 9ed4de5fc0ca0f83e32999301da65a006a269691 | [
"Apache-2.0"
] | permissive | ppreeper/signage | 9bfa02e1d01ed048ecae4300938272ce8cfa9493 | 033df11f8980862a5b8da2eaac7ba04d9ebb6f1d | refs/heads/main | 2023-03-06T13:00:19.584956 | 2023-02-23T04:06:01 | 2023-02-23T04:06:01 | 78,864,588 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,110 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-12-23 03:30
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('signs', '0008_auto_20161222_2027'),
]
operations = [
migrations.RemoveField(
... | [
"ppreeper@gmail.com"
] | ppreeper@gmail.com |
82de8bf21474e30eeb3a6fcffd3d1d58d367c8b1 | 40c855e1d5343e234d46777ac2f19f413aa99fd1 | /employee_app/models.py | 076d4dd4984455ae17cb27a63b42e6471d0bb170 | [] | no_license | tathyakapadia/Django_Cybage_Assignment | 2d805eac1996cc39b2321b55af74547f81ac687e | bc611dd606e7ba91814fc393d8045c0b51edc4da | refs/heads/main | 2023-01-10T09:41:31.523094 | 2020-11-09T09:41:28 | 2020-11-09T09:41:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,757 | py | from django.db import models
class Organization(models.Model):
organizationName = models.CharField(
max_length=100, null=False, blank=False)
def __str__(self):
return self.organizationName
# def default_org():
# return Organization.objects.get_or_create(organizationName="DefaultOrg")[0].... | [
"tathya4225@gmail.com"
] | tathya4225@gmail.com |
f0320b3b1e118fdbbad1d2595014cde9eaf74e65 | d02adc312091edd768d5bf47267d3bb6d25a47d1 | /final project/sample_models.py | 6605d6ce0cd08c0707f95025eb53e6d0db4bef4f | [] | no_license | shanjgit/udacity-NLP-projects | 46d0bc56e2638668923a748f223faf3aadabe84a | 615bdcc22095b08b43bfcb8b5c7456b7ea5ab86f | refs/heads/master | 2020-04-28T21:52:22.449744 | 2019-03-14T12:47:29 | 2019-03-14T12:47:29 | 175,597,273 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,109 | py | from keras import backend as K
from keras.models import Model
from keras.layers import (BatchNormalization, Conv1D, Dense, Input,
TimeDistributed, Activation, Bidirectional, SimpleRNN, GRU, LSTM)
from keras.regularizers import l2
def simple_rnn_model(input_dim, output_dim=29):
""" Build a recurrent network fo... | [
"lightemit@gmail.com"
] | lightemit@gmail.com |
763b3c41f750dca1f47c7fdc416ee621be024e3c | 90cdae33e672b23a3ccb84dec0f281e78d3934ce | /auto_test_leke/web_test/src/common/method.py | 038feba19e8b7600635d53982ce2dd7eead0e753 | [] | no_license | kuangtao94/TestHome | dffdb3737ab60f6db435c770c33f423d814b5594 | 46acedadd225b07fe73f43feebd5c66d19c7eeac | refs/heads/master | 2020-06-29T07:38:37.316844 | 2019-11-24T02:14:25 | 2019-11-24T02:14:25 | 200,475,947 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,918 | py | # coding:utf-8
from selenium import webdriver
import os
from selenium.webdriver.common.by import By #导入by定位
from selenium.webdriver.support.ui import WebDriverWait #导入显示等待包
from selenium.webdriver.support import expected_conditions as EC #导入期望条件
from logging import log ... | [
"1512500241@qq.com"
] | 1512500241@qq.com |
7edba09660881e3764ee50d3188e8cd70e43a36f | 5684a61797621b7be82d2bc1e8c5014259222477 | /server.py | 5691ee21ceeda1379239ee746702f8841a5b1fc0 | [] | no_license | AnthonyMMiller/pybook_oop | a09d3c71f169c24cf87f7180ff5dbaa7859ce7e4 | d5f86a494c2bb2302c67efa290dab830a6dc43cf | refs/heads/master | 2022-06-14T06:17:06.218409 | 2020-05-12T05:14:19 | 2020-05-12T05:14:19 | 263,234,508 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,192 | py | import sqlite3
# Database functions
class Database:
def __init__(self,db):
self.conn=sqlite3.connect(db)
self.cur=self.conn.cursor()
self.cur.execute("CREATE TABLE IF NOT EXISTS book (id INTEGER PRIMARY KEY, title text, author text, year integer, isbn integer)")
self.conn.commit(... | [
"1anthony1@gmail.com"
] | 1anthony1@gmail.com |
18772b128b050a7ff3d1dabdbdd5d2091d72921c | 2d94902e0367f364eabd038b4aa49ac34e1ebd47 | /config.py | 7e17e0f65019ab54b69a72e387746c5c258de67a | [
"Apache-2.0"
] | permissive | qitianchan/Patap | 25f642759698391c77527ed3f676a84fcf918023 | e71bd95300d94f7e26f9d87e5bdb9f4c73175383 | refs/heads/master | 2021-01-20T20:03:52.546735 | 2016-07-27T12:01:31 | 2016-07-27T12:01:31 | 64,106,084 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 807 | py | # Create dummy secrey key so we can use sessions
SECRET_KEY = '123456790'
# Create in-memory database
DATABASE_FILE = 'patap.sqlite'
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + DATABASE_FILE
SQLALCHEMY_ECHO = True
# Flask-Security config
# SECURITY_URL_PREFIX = "/admin"
SECURITY_PASSWORD_HASH = "pbkdf2_sha512"
SECURITY_... | [
"qitianchan@sina.com"
] | qitianchan@sina.com |
1f17b1b6a2c0bd4d5957fdf6884f06dc99a93f8a | 82c562bf2257c248fae968ad27876f840c98d5cc | /python_stack/django/django_orm/firstorm/firstorm/settings.py | f42135421e8b5e24068980b7988b67264548ecc7 | [] | no_license | tbkrft567/CodingDojo | 5175dbf5cae1e7b23ad1b91e6370bbf1467e2c31 | 142974abeffa0aef93f3761ffd3a9e2cc452e990 | refs/heads/master | 2023-02-19T09:03:26.644627 | 2021-02-21T22:06:54 | 2021-02-21T22:06:54 | 230,340,732 | 0 | 0 | null | 2023-01-19T16:39:50 | 2019-12-26T23:24:56 | Python | UTF-8 | Python | false | false | 3,100 | py | """
Django settings for firstorm project.
Generated by 'django-admin startproject' using Django 1.10.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
... | [
"tbkrft@gmail.com"
] | tbkrft@gmail.com |
c6f33d8d91c4d33b1e2add5fcf4896a139314cc8 | be50e8a41b8f0f82f91fc5abe4a377815476fafa | /src/data/adobe5k.py | 9286401ddd19dd7cf01bc183694cc53cfe76489c | [
"MIT"
] | permissive | XenonLamb/CSConvNet | fae5eea59f24b6f5555384f8552fb7e3d5698221 | b8fbf016789e54805b1ac87925e2cc8c00e8e3a6 | refs/heads/master | 2023-06-20T08:10:32.785147 | 2021-07-12T15:26:54 | 2021-07-12T15:26:54 | 248,464,717 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,449 | py | from data import srdata
class ADOBE5K(srdata.SRData):
def __init__(self, args, name='ADOBE5K', train=True, benchmark=True):
data_range = [r.split('-') for r in args.data_range_adobe.split('/')]
if train:
data_range = data_range[0]
else:
if args.test_only and len(data... | [
"SENSETIME\\xulu@hkst18060094.domain.sensetime.com"
] | SENSETIME\xulu@hkst18060094.domain.sensetime.com |
d8541729ab254efed662b593b9d468fc5bb5016a | 85bfa6fc1ff7f0f4973083251552a86c3cc5acea | /Numbers.py | 8c15b0c0908eedc993b12b9ac899479082f7113f | [] | no_license | Barshon-git/Test | 4353b87e81fa9081d8cfc1a6dbc2323605da9fb6 | 8317fe9c3268d248cd082b1686b15b4024c4308a | refs/heads/master | 2020-06-20T19:13:11.361498 | 2019-07-16T15:38:32 | 2019-07-16T15:38:32 | 197,218,742 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 406 | py | print(2)
print(2.5)
print(2+7)
print(2-7)
print(2*7)
print(2/7)
print(2+4*6)
print((2+7)*7)
print(10%4)
my_number=123
print(my_number)
print(str(my_number))
my_number=-45.23
print(abs(my_number))
print(pow(my_number, 2))
print(max(my_number,-234))
print(min(my_number,-2124))
print(round(my_number))
from math import *... | [
"52784421+Barshon-git@users.noreply.github.com"
] | 52784421+Barshon-git@users.noreply.github.com |
e87ad93a3d3dcdf7cfea8ea52573b0f8fcc1a35a | 54290d468f91a21f131458b136213354a3780a46 | /fabfile.py | 2f37bf95d517421a6878a2eb07b905c48515e92f | [
"WTFPL"
] | permissive | LaPosteSNA/addok | 9435cccd37e936c89c538caed08f5db04e6bd0eb | 22a4e407c5a94d412673d223a25a8a3651801a71 | refs/heads/master | 2021-01-22T13:13:37.465954 | 2016-01-26T17:02:01 | 2016-01-26T17:02:01 | 45,954,224 | 1 | 0 | null | 2015-11-11T02:15:32 | 2015-11-11T02:15:31 | null | UTF-8 | Python | true | false | 3,886 | py | from fabric.api import cd, env, execute, hide, puts, roles, sudo, task
env.project_name = 'addok'
env.repository = 'https://github.com/etalab/addok.git'
env.local_branch = 'master'
env.remote_ref = 'origin/master'
env.requirements_file = 'requirements.txt'
env.use_ssh_config = True
env.shell = "/bin/bash -c" # Defaul... | [
"yb@enix.org"
] | yb@enix.org |
20f9a920e3fe0d8331bd86ce5e2efa02f2201bee | f8248aa7ba95fa914db8aaadfe1a4c69f8b63c91 | /phase_1/demo4_2.py | be5eb2bb10dbd4bd6298fbfa8a6f5b3011244dea | [] | no_license | LoTwT/clawer | 6001a0cec519628b273048b6453c1b7f42e23b09 | 192eeb02e745e1415ddd1c47f86bdc2c60be6114 | refs/heads/master | 2023-06-05T22:35:47.605393 | 2021-06-26T18:27:57 | 2021-06-26T18:27:57 | 359,274,008 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,159 | py | # 小说下载器
# 输入吞噬小说网对应小说 url, 下载小说
import requests
from lxml import etree
import os
base_url = "https://www.tsxs.org"
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.72 Safari/537.36",
"referer": "https://www.doutub.com/"
}
def get_n... | [
"709937065@qq.com"
] | 709937065@qq.com |
a4cbdc127de8adeb4a567c47aef68184eacde895 | 17af0907a768516e8e3773e0c758da3749f6de39 | /crawling-backup/crawling_scrapy 2/scrapyproject/ecommerce/ecommerce/items.py | 12d67dd6a869e9540280ce6c5581359b09fe69eb | [] | no_license | ssubin29/WebCrawling_PBL | 9aa34683a1af6b7f58cadd751fc6d0fc0b59b5cc | 3004762c31e794a740fa39d20e111873ad955192 | refs/heads/main | 2023-06-06T09:55:20.348451 | 2021-06-28T04:51:22 | 2021-06-28T04:51:22 | 353,890,863 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 515 | py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# https://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class EcommerceItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
main_category_name = scrapy.Field()
... | [
"(20201003@sungshin.ac.kr)"
] | (20201003@sungshin.ac.kr) |
94be3ed0169b5b1a099858c6d26cca996a1e3f6c | ee7ca0fed1620c3426fdfd22e5a82bba2a515983 | /dsn_qc_pbsa/models/qc.py | 49236e76f3e03ea571e2b17105d32c21ef6826d9 | [] | no_license | disna-sistemas/odoo | 318d0e38d9b43bea56978fe85fc72850d597f033 | 0826091462cc10c9edc3cc29ea59c417f8e66c33 | refs/heads/8.0 | 2022-03-08T19:01:21.162717 | 2022-02-15T13:06:26 | 2022-02-15T13:06:26 | 99,210,381 | 0 | 5 | null | 2019-07-24T08:49:58 | 2017-08-03T08:36:55 | Python | UTF-8 | Python | false | false | 1,399 | py | # -*- encoding: utf-8 -*-
##############################################################################
#
# OpenERP, Open Source Management Solution
# Copyright (C) 2004-2012 OpenERP SA (<http://openerp.com>)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of t... | [
"sistemas@disna.com"
] | sistemas@disna.com |
c8a986b497b7a0c2128f13bbfde54e050e90750c | 1745474c122c8a810ec835024c28c39c276f6e34 | /facetrain.py | ce5763a2387ee13e1464aa7f5d52d1f385ef4cff | [] | no_license | HariAcidReign/ImageRecognition | 92ccfc96bea62e3fa2120d4c0f44a848bd73052e | 3d635a59d4a4c4354bff13928bd7ed4617c8cdae | refs/heads/master | 2022-05-26T20:22:19.053898 | 2020-05-01T13:42:31 | 2020-05-01T13:42:31 | 259,615,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,688 | py | import os
import cv2
import numpy as np
import pickle
from PIL import Image
#Finds path of this facetrain.py file and assigns it to BASE_DIR
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
IMAGE_DIR = os.path.join(BASE_DIR,'images')
face_cascade = cv2.CascadeClassifier('cascades/data/haarcascade_fr... | [
"noreply@github.com"
] | noreply@github.com |
d7c716d5a9bf07da17abc23ef4d78ad48a9b06b9 | e43f3a2b54b4f4b17c598a35dcf26fd534630b31 | /blog/forms.py | c424d5419b962e12971ccf8c3289e20a82564fcc | [] | no_license | s8508235/CloudProgrammingWebApp | caa61282807a5cd5ed9e8060716a69f1b76838d0 | 6f9c379ab8c598cd5d132cec21b8c3b839899a29 | refs/heads/master | 2021-01-20T13:43:31.644473 | 2018-10-05T12:20:34 | 2018-10-05T12:20:34 | 90,520,119 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 713 | py | from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import Post
class SignUpForm(UserCreationForm):
first_name = forms.CharField(max_length=30, required=False, help_text='Optional.')
last_name = forms.CharField(max_length=30, ... | [
"s8508235@yahoo.com.tw"
] | s8508235@yahoo.com.tw |
10affdb29314ddfb1405ef86dcd765a719c52ee1 | 6a6ef66fbf39e8a5c77c3359fc3d1995f5e32646 | /purchase_app/purchase/views.py | ebcee4cd76718836d289f938414efe558b144757 | [] | no_license | Shwetaa22/PurchaseModel | 0a380634305218d784540122ef3ce8bbcf419ea6 | 128abc346648d0b6ce364a0dbe5cb29663d36290 | refs/heads/master | 2023-02-02T09:42:30.613976 | 2020-12-20T14:24:22 | 2020-12-20T14:24:22 | 321,710,974 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,087 | py | from django.db import connection
from django.shortcuts import render
from django.db.models import Sum, Count
from django.http import JsonResponse
from .models import PurchaseModel,PurchaseStatusModel
def home(request):
return render(request, 'home.html')
def bar_chart(request):
labels = []
data = []
... | [
"shweta.ayre@tacto.in"
] | shweta.ayre@tacto.in |
0f623b7efc31b36e7164ee5d0583e99681d30c6a | 86059cbbba04e62a1a6b217ea043081d10c55174 | /SOFTENG_370 _AdditionalPart/ServiceA.py | a6b810d13434a32c9165439754e8b21b55438766 | [] | no_license | AdityaJNair/PythonAssignment | 4d0190a8bf2576fcf7863fea5cd7b195e6060bc5 | 3c0b8cb1d47b29382bc40239fe4735034db1965e | refs/heads/master | 2021-01-20T11:50:55.030343 | 2016-08-18T05:21:20 | 2016-08-18T05:21:20 | 65,005,206 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,270 | py | import os
import sys
import pickle
import time
import threading
import atexit
import re
from queue import Queue
import math
ANY='any'
class ServiceA():
service_dictionary = {}
communication_queue = Queue()
communication_list = []
arrived_condition = threading.Condition()
def start_service(self)... | [
"adijnair@gmail.com"
] | adijnair@gmail.com |
388949d03d9a2d1082cb50d691f752acbb33b87e | ec11ade6f674d92c3accc917771c69de927c882c | /gmso/utils/decorators.py | aff3219d0151aee0d37154a8b7a955157ed5c9a0 | [
"MIT"
] | permissive | rmatsum836/gmso | 36a20a5b5c3548af7a0830c127fcba284f15c39b | 8c662cc8e511f3b47f6e791d1a0d6a5f2ffeb1bc | refs/heads/master | 2021-09-21T01:39:16.863137 | 2020-03-10T17:56:19 | 2020-03-10T17:56:19 | 244,210,188 | 1 | 0 | MIT | 2020-03-01T19:26:49 | 2020-03-01T19:26:48 | null | UTF-8 | Python | false | false | 635 | py | from functools import wraps
def confirm_dict_existence(setter_function):
"""This decorator confirms that any core type
member is in the topology's set (if it is used to
wrap setters of the core type member class)
"""
@wraps(setter_function)
def setter_with_dict_removal(self, *args, **kwargs):... | [
"umesh.timalsina@vanderbilt.edu"
] | umesh.timalsina@vanderbilt.edu |
f2c256c323ba1cec97493ee8de823784aeb287cc | ac8779998b00a35b2fced864b007334a32873bf1 | /manage.py | cf1caf56512e01322d1767d71e4b7fce84a389b2 | [] | no_license | openmaker-eu/dsp-explorer | 5cb5ad4e7190dc8559b69a3154da9ae6383ef536 | 8a8b007ac6095ac6864e030641545724a6872f2e | refs/heads/master | 2022-12-09T13:50:47.218076 | 2019-02-14T20:21:53 | 2019-02-14T20:21:53 | 90,641,109 | 5 | 8 | null | 2022-12-08T02:06:16 | 2017-05-08T15:02:38 | Python | UTF-8 | Python | false | false | 809 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dspexplorer.settings")
try:
from django.core.management import execute_from_command_line
except ImportError:
# The above import may fail for some other reason. Ensure that ... | [
"alex.comunian@gmail.com"
] | alex.comunian@gmail.com |
d800c64654a972e6395fb5cd0ec1bd2d1e9771bc | 2c1afb1c43b8ba0df7791ccdb11c709e15a430d1 | /cp_datawarehouse/etl/load.py | be92a9901e49723a9e8b2a4e4993b3aa3f80839e | [] | no_license | nicolasblaye/cp_datawarehouse | aca0146811e19910341f932a6e9ebba3954f750e | f7dfdd42e9161a0e465e8de64a0e84844e983a91 | refs/heads/master | 2020-03-21T18:52:00.131509 | 2018-07-01T20:38:04 | 2018-07-01T20:38:04 | 138,917,778 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,093 | py | """
Load module provides functions to load data into various cp_datawarehouse tables
"""
import logging
import psycopg2
import psycopg2.extras
import pandas as pd
from cp_datawarehouse.config.base import config
LOGGER = logging.getLogger(__name__)
CONFIG = config()
def insert_users_list(users_list):
"""
I... | [
"nblaye@powerspace.com"
] | nblaye@powerspace.com |
79a789918719a6e265aac3a7a5bbc428f2e62603 | 767a21165b30e8c443664b2f1f1254a2c75adc17 | /python/ray/rllib/RL/DeepADFQ/run_anytime_planner.py | f2e7fb62b6fd6ecff60c11b9712dd31b04939d30 | [
"Apache-2.0",
"MIT"
] | permissive | christopher-hsu/ray | 2113b1341e765f98950f970695aed71a69a19e91 | abe84b596253411607a91b3a44c135f5e9ac6ac7 | refs/heads/master | 2020-06-10T22:49:45.683288 | 2019-08-05T19:15:56 | 2019-08-05T19:15:56 | 193,778,726 | 0 | 0 | Apache-2.0 | 2019-06-25T20:27:48 | 2019-06-25T20:27:48 | null | UTF-8 | Python | false | false | 3,092 | py | import pdb
import numpy as np
import pickle
import datetime, json, os, argparse
import envs
import pyInfoGathering as IGL
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--seed', help='RNG seed', type=int, default=0)
parser.add_argument('--render', help='r... | [
"christopherhsu8@gmail.com"
] | christopherhsu8@gmail.com |
28f6b650adb85f3d667907e9d3035cf4f87b003a | 4cd3609eded219222020b13c63d8dcfcba2cee0a | /badolexpenses/settings.py | d18d38c8219d9333a03165046b0788062d309cd8 | [] | no_license | axdev4591/badol | b9856438a5d5201de4f8fe56b82bd444b815d63a | 8739cf04cd19d34f49e7f77432230268b3b7e89b | refs/heads/master | 2023-01-24T20:28:24.238471 | 2020-12-07T16:15:01 | 2020-12-07T16:15:01 | 317,877,435 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,010 | py | """
Django settings for badolexpenses project.
Generated by 'django-admin startproject' using Django 3.0.7.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.0/ref/settings/
"""
import... | [
"axelmouele@gmail.com"
] | axelmouele@gmail.com |
b3b1665fb21f6233aa62577bc888715c6c87326f | e5a044708032b853f1cdf8906da63502716fd410 | /test/test_acs_response.py | 50ae8c13ac7310108d49f9d76f8061799b9c37d7 | [] | no_license | GBSEcom/Python | 4b93bab80476051fc99f379f018ac9fa109a8a6a | 5fa37dba8d0c3853686fdc726f863743376060c9 | refs/heads/master | 2021-12-04T12:55:29.605843 | 2021-11-19T22:01:03 | 2021-11-19T22:01:03 | 136,058,345 | 1 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,064 | py | # coding: utf-8
"""
Payment Gateway API Specification.
The documentation here is designed to provide all of the technical guidance required to consume and integrate with our APIs for payment processing. To learn more about our APIs please visit https://docs.firstdata.com/org/gateway. # noqa: E501
The ve... | [
"emargules@bluepay.com"
] | emargules@bluepay.com |
b7fbde2b24ceb11a7e7084a5c6a99e00950b5a0e | 28525dc93b71aed4465a76c5b92136795712cb10 | /University/run.py | f8128905748c2a876b34caca226f8304b117ff25 | [] | no_license | anasvp444/MachineLearning | 7f2383ea069159e7813a94a2a64f32e7f2a5273a | b5581c6f8662c2eeda9f7ca69daa054b67c7bcaa | refs/heads/master | 2020-05-05T06:54:55.347035 | 2019-12-04T02:36:01 | 2019-12-04T02:36:01 | 179,806,220 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,203 | py |
from sklearn.linear_model import LinearRegression
from flask import Flask, render_template, request, flash, redirect, url_for, Response
import numpy as np
import pandas as pd
data = pd.read_csv('Admission_Predict_Ver1.1.csv')
continues_data = data[['GRE Score', 'TOEFL Score',
'Uni... | [
"anasvp444@gmail.com"
] | anasvp444@gmail.com |
ce2c39c3477019baaa00ce42f360612cc208f501 | 24d8cf871b092b2d60fc85d5320e1bc761a7cbe2 | /eXe/rev2283-2409/base-trunk-2283/exe/engine/path.py | 8c18ee779da2843b3377442bd070d39038cb31c2 | [] | no_license | joliebig/featurehouse_fstmerge_examples | af1b963537839d13e834f829cf51f8ad5e6ffe76 | 1a99c1788f0eb9f1e5d8c2ced3892d00cd9449ad | refs/heads/master | 2016-09-05T10:24:50.974902 | 2013-03-28T16:28:47 | 2013-03-28T16:28:47 | 9,080,611 | 3 | 2 | null | null | null | null | UTF-8 | Python | false | false | 29,655 | py | """ path.py - An object representing a path to a file or directory.
Example:
from path import Path
d = Path('/home/guido/bin')
for file_ in d.files('*.py'):
file_.chmod(0755)
This module requires Python 2.2 or later.
Licensed under GPL.
URL: http://www.jorendorff.com/articles/python/path
Author: Jason Orendorf... | [
"joliebig@fim.uni-passau.de"
] | joliebig@fim.uni-passau.de |
281b53afc70f1980e6fd4fce95475fb535e8f4a3 | 4219ce3a8d69ece222700b6eca4ed615dc8a3b33 | /light.py | 1dead3e43034d265477cc38b3142f3652b92421b | [
"MIT"
] | permissive | ami-GS/Timelapse_RPi | 8b144606f7e2ffbd24f312420e240a9f11948097 | f7732f4882ddf64cc5496e1bc2bab05ad75fa221 | refs/heads/master | 2020-04-28T06:56:06.913496 | 2015-02-23T11:59:50 | 2015-02-23T11:59:50 | 18,900,825 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 598 | py | import RPi.GPIO as GPIO
class LEDs():
def __init__(self, chan_list = []):
GPIO.setmode(GPIO.BOARD)
if chan_list:
self.setChannels(chan_list)
def init(self):
self.__init__(self.chan_list)
def setChannels(self, chan_list):
self.chan_list = chan_list
GPIO.... | [
"1991.daiki@gmail.com"
] | 1991.daiki@gmail.com |
8d7aefb0ee4e87eb4980fd57b5be7b87f7709f88 | d3bfad41c5d935e6420322cf175b96b1ad1c7146 | /venv/variousDebug.py | c41d03c457ff841db96b32ec0ed45e0426a12c80 | [] | no_license | Rastinn235/02456-deep-learning-project | 8d3221e4b30aec647b90f81bc40b81506f40981a | 5b9a8e3011193075736d7780a2ffb6731204031c | refs/heads/main | 2023-02-10T18:51:24.826296 | 2021-01-04T22:37:02 | 2021-01-04T22:37:02 | 318,879,838 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,610 | py | # plot random piano roll
midiroll = midi.midi2roll(listofAllMidiFiles[1])
midi.plotPianoRoll(midiroll)
plt.figure(figsize=(8, 4))
plt.show()
train, target = midi.splitLowHighNotes(midiroll)
print("split")
midi.plotPianoRoll(train)
plt.figure(figsize=(8, 4))
plt.show()
midi.plotPianoRoll(target)
plt.figure(figsize=(8, 4... | [
"s144002@student.dtu.dk"
] | s144002@student.dtu.dk |
09f70f369e144a71c51b73ed22daee52504648d1 | a7248b870e97100ac0128d28f74fa70186c4cb7a | /Data Integration.py | 9742f3a9e94dcf25874c56dc5ad0d9d015c6761b | [] | no_license | sklimantovich/IntersetInterview | b4e97cd9d4158e6d76147fa45ba97fcf2e18942d | d8b7f0231ce72d424a0df9b894130d6248432596 | refs/heads/master | 2021-01-20T06:17:38.970517 | 2017-04-30T16:05:59 | 2017-04-30T16:05:59 | 89,860,439 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,759 | py | # This script is compatible with Python 3.6.
# Using Python 2.7 may not work
# Written by Sergey Klimantovich
# Date: 30/04/2017
import json
import csv
from datetime import datetime
import argparse
import os
"""
This method opens a file with JSON object,
read it line by line and creates json_data objec... | [
"noreply@github.com"
] | noreply@github.com |
f840cd0dfd6083df3c8aa4752cea0ac6b3a1cea0 | 75f34a0053cd3dc53862395148479d507e376b0e | /Starfield/main.py | 9eadda72a9745b85463c10de85a1a3c22d5a1949 | [] | no_license | nakamarusun/TA-stuff | 0d093fe0ae720e8b68015146e0a5c74f15da1e8f | eb66ba8a74dea3f8fb2cfd5d2d949d530639e0ad | refs/heads/master | 2023-03-02T17:09:07.752131 | 2021-02-08T15:49:33 | 2021-02-08T15:49:33 | 297,830,367 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,168 | py | import pygame
import pygame.event
import pygame.display
import object_manager
import pygame.time
import util
from time import time
pygame.display.set_caption("Starfield")
# Inits the pygame library
pygame.init()
while 1:
# Records the first delta
begin_time = time()
# Loads the events to a local var
... | [
"nakamarujc@gmail.com"
] | nakamarujc@gmail.com |
e73627f2cd62d56e3044aac448a938ae74e30088 | 191f1e8535e11ce4ab3e2f5298f52a8c6d801866 | /python/code3/xml-parsing assignment.py | e5cb2b07778f87caf62cad2947021c1ba5507230 | [] | no_license | Chitransh219/chitransh-web-capg | c895807d03956b785a2258b742b4b9bdffad04ed | 55f53d8bef0b8702165a6903d483b3723ac28fac | refs/heads/master | 2023-04-20T20:34:57.142629 | 2021-05-08T05:44:07 | 2021-05-08T05:44:07 | 365,429,103 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,065 | py | import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
import ssl
api_key = False
# If you have a Google Places API key, enter it here
# api_key = 'AIzaSy___IDByT70'
# https://developers.google.com/maps/documentation/geocoding/intro
if api_key is False:
api_key = 42
serviceurl = ... | [
"derashrichitransh@gmail.com"
] | derashrichitransh@gmail.com |
af54c2b60779c31d1d0d83a753f2c43b38f14d77 | 6fa7f99d3d3d9b177ef01ebf9a9da4982813b7d4 | /mDzheHpwtqyXePEBE_1.py | ab0f5df7676101d833a8e557fffe7d8f9cbc98e4 | [] | no_license | daniel-reich/ubiquitous-fiesta | 26e80f0082f8589e51d359ce7953117a3da7d38c | 9af2700dbe59284f5697e612491499841a6c126f | refs/heads/master | 2023-04-05T06:40:37.328213 | 2021-04-06T20:17:44 | 2021-04-06T20:17:44 | 355,318,759 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 45 | py |
def sum_polygon(n):
return (n - 2) * 180
| [
"daniel.reich@danielreichs-MacBook-Pro.local"
] | daniel.reich@danielreichs-MacBook-Pro.local |
5b59245810f273b453d8890a4323042d1618a756 | dcfdad4ce2289af76fc1ca2a9f593a13a79b390d | /CS154_Labs_2ndSem/Lab10/file_worrd.py | 45c75e7ea91c696879235a5f17708d11d17ee1ed | [] | no_license | arponbasu/CS154_Labs_2ndSem | ee2b4b02ea13028d59236cf51a64ca89505a9fd0 | f48b016776a57435f050fe6babac1fc90ac3d85e | refs/heads/main | 2023-07-05T01:20:14.895773 | 2021-09-01T16:32:58 | 2021-09-01T16:32:58 | 392,825,511 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 105 | py | fl=open(sys.argv[1], 'r').readlines()
word_list=[lines.split(" ") for lines in fl]
print(len(word_list))
| [
"noreply@github.com"
] | noreply@github.com |
46823e51aef1425db664261b1bf8807eda1cf97f | ff21dd1b906db472584aa92a32c22fb9351c9ffd | /NOTE/02_PythonBase/day20/exercise/mycopy.py | 84c9355038bbc272ced2e384557d1676f5064f61 | [] | no_license | Bertram-Liu/Note | 0e176b2c9625f02e463b8f6be3587f1f0b873e9b | 60a30b03ff5d41ab6233e6fd30074de396703b68 | refs/heads/master | 2020-07-18T18:14:24.920528 | 2019-09-04T11:55:59 | 2019-09-04T11:55:59 | 206,290,323 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 702 | py | # 1. 写程序,实现复制文件的功能
# 要求:
# 1. 要考虑关闭文件的问题
# 2. 要考虑超大文件的问题
# 3. 要能复制二进制文件
def copy(src_file, dst_file):
'''src_file 源文件
dst_file 目标文件'''
# 以下实现复制
try:
with open(src_file, 'rb') as fr, \
open(dst_file, 'wb') as fw:
while True:
... | [
"bertram_liu@163.com"
] | bertram_liu@163.com |
2294bcc3211c94ad16f0784191f9eb000b41fb76 | 23805cffc86ac4dfb5bcce672b8c7070b4616e41 | /Apprendre-Python/sum-1-n/scripts/feedback.py | 638e0fc434e034cca499389e17e3f7f853abd000 | [] | no_license | ukonline/pythia-tasks | f90ff90299fe0eedd0e2787bcf666df07c709a00 | 81a3731eb0cdfe16b26a4e75a165a5071fb48ff5 | refs/heads/master | 2021-01-25T03:26:33.915795 | 2016-01-04T20:03:24 | 2016-01-04T20:03:24 | 40,974,655 | 0 | 2 | null | 2016-12-21T13:12:14 | 2015-08-18T13:49:39 | Python | UTF-8 | Python | false | false | 1,247 | py | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# Course: Apprendre Python
# Problem: Somme de 1 à n
# Feedback script
import ast
import csv
import json
import os
import sys
sys.path.append('/task/static')
from lib import pythia
import math
def computesum(n):
result = 0
i = 1
while i <= n:
result += ... | [
"seb478@gmail.com"
] | seb478@gmail.com |
c9e7c33fa1def03f75ae6eae3e0060a1052e6d21 | 1e05b18a9dd212e21789deec471262cc84e9dce7 | /models/fastrcnn_resnet_50.py | a37cf739c748a34375d1d9ba2784d1568d4f8abd | [] | no_license | Bovey0809/global_wheat | 9ff7f1888a7b1ad5668369d0c242bb8728348822 | 6daf58503c5525352497a689f1854df14f62b77d | refs/heads/master | 2022-11-23T02:35:05.725850 | 2020-07-09T07:03:20 | 2020-07-09T07:03:20 | 277,493,088 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 268 | py | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
from torchvision.models.detection import fasterrcnn_resnet50_fpn
class fastercnn(torch.nn.Module):
| [
"my364007886@gmail.com"
] | my364007886@gmail.com |
8c2c7e01389a645b6a32e59ca057febd60ccbc87 | 5afce1498e13fd7f45c139fa66b0560c6a9fb479 | /DBproject/wsgi.py | 00b752dc663f2e1f4362c19798317c596076744e | [] | no_license | borigor/DBproject | 8bc17d7ea2f247edfa74ca29ab723caa4bee8f59 | 54c2d572e19661320a2b6bf4eb68671b1374243e | refs/heads/master | 2021-01-23T06:50:11.655902 | 2014-04-30T04:27:35 | 2014-04-30T04:27:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,428 | py | """
WSGI config for DBproject project.
This module contains the WSGI application used by Django's development server
and any production WSGI deployments. It should expose a module-level variable
named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover
this application via the ``WSGI_APPLICATION`... | [
"igor.gigi13@gmail.com"
] | igor.gigi13@gmail.com |
547aa077f046aab16aae678a4411d80daf8a71ac | e44455d19049fcff6fb74504207c396e67e2a9b5 | /Eng_lda(FINAL).py | 577c820dbd2d78ed0afec2a1bda54615a3dd631f | [] | no_license | NoraishaYusuf/Research-Project-WQD7002 | e52de6e2e96fa97cf85c0a2043afe55d5fbdc524 | e6ee020456c5d4f95d0c7281675ce7282e576b9e | refs/heads/master | 2021-02-18T01:58:39.584405 | 2020-06-18T01:10:34 | 2020-06-18T01:10:34 | 245,147,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,498 | py | # =============================================================================
# MALAY CORPUS:
# 1. Tuned LDA model for train data
# 2. Use tuned lda model to infer topic distribution on test data
# =============================================================================
"Execute preprocessing functions"
... | [
"noreply@github.com"
] | noreply@github.com |
b529d4e2ef137a416b1a7794a47c6e9eebffab3b | 01ac9e40052a468dd472a296df0003c4e629e2c9 | /news_all/spiders_ydyl/cppcc_all.py | 4081ec07efd2853fce653816d12c6835d575b706 | [] | no_license | Pintrue/news_all | b5cee16584ed92e6574edd825b574214df65d917 | eb8c32c79bdacd8e2f76b88f27871c3cd0118006 | refs/heads/master | 2022-03-23T13:34:10.354029 | 2019-11-22T07:40:50 | 2019-11-22T07:40:50 | 223,058,997 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,433 | py | # -*- coding: utf-8 -*-
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import Rule
from news_all.spider_models import NewsRCSpider
class Zgzxw_allSpider(NewsRCSpider):
"""中国政协网"""
name = 'zgzxw'
mystart_urls = {
'http://www.cppcc.gov.cn/zxww/newcppcc/zxyw/index.shtml': 7642, ... | [
"py416@ic.ac.uk"
] | py416@ic.ac.uk |
8660e3e52419ba988cffe6b272af016b10932e8c | 3279fdc580a255bd5d9fcb9f7ba74db87289bb2f | /build/turtlebot/turtlebot_capabilities/catkin_generated/pkg.installspace.context.pc.py | 2f1dd7351f47345b5129c3d03adc686e9c3f0e76 | [] | no_license | juspch/homeservicerobot | 3450cb0ceddc8a09a9da879a0f3f81795f79a998 | afdfacc87637a926d037330108c1d6fc45aaa7a2 | refs/heads/master | 2022-04-15T15:00:14.453327 | 2020-04-13T14:33:25 | 2020-04-13T14:33:25 | 255,339,431 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 395 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "turtlebot_capabilities"
PROJECT_SPACE... | [
"juspch@gmail.com"
] | juspch@gmail.com |
d5d0d875069bad8de3497ee1a32aeff5d8fa994f | 7326f37b50c5e78f0620503ed2fc48467e86386d | /tests/test_slow_class.py | da1206f98cf6ce468f76d3543fea090a55a5ebec | [] | no_license | zsolt-halo/pytest-mock-examples | 4a5e59c297e22d7dd49caf12db6b6ac1437db409 | c1d53f383b9dd5f6a69616b6937d448bc7aed304 | refs/heads/master | 2022-12-04T22:40:04.259800 | 2020-08-20T14:06:39 | 2020-08-20T14:06:39 | 289,021,963 | 0 | 0 | null | 2020-08-20T14:04:22 | 2020-08-20T14:04:22 | null | UTF-8 | Python | false | false | 302 | py | from mock_examples.main import slow_dataset
def test_mocking_class_method(mocker):
expected = 'xyz'
def mock_load(self):
return 'xyz'
mocker.patch(
'mock_examples.main.Dataset.load_data',
mock_load
)
actual = slow_dataset()
assert expected == actual
| [
"lee.changhsin@gmail.com"
] | lee.changhsin@gmail.com |
964f0f6d8e473b5059787827e5796aee63a0f3bf | 5e6ee5d0f840bf031bab13df120987dc31491034 | /restfulapicrud/restfulapicrud/urls.py | 31852b1d2f0d2de7f58a9906e25779311f8ea86f | [] | no_license | cal1log/heroku_api_rest | 9027d3b24c704ed8f15c6badd7dd8fca62894cfa | a800706ac5e24a26ef7c68dc039b6bba0448fce3 | refs/heads/main | 2023-06-28T00:11:14.578647 | 2021-07-26T21:03:12 | 2021-07-26T21:03:12 | 388,584,473 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 832 | py | """restfulapicrud URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | [
"orlago250183@gmail.com"
] | orlago250183@gmail.com |
3777fe9862ea7b7c070a0c2c8480e304e297d9dd | 235b114c39d7c4889b8c73f22a242465c549a79b | /venv/lib-python/3/sre_constants.py | f683bd9fcfea77318cb923035b513273cdef1716 | [] | no_license | yay135/Rtree | 00c489ba34192be85431861c90e299715150f3da | af61058aa2fdadfd86aee5892e8b47249b42d74b | refs/heads/master | 2020-05-17T11:11:34.114030 | 2019-04-28T18:52:24 | 2019-04-28T18:52:24 | 183,678,712 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 65 | py | /home/yay135/pypy3.6-v7.1.1-linux64/lib-python/3/sre_constants.py | [
"yanfy135@gmail.com"
] | yanfy135@gmail.com |
d7db13e9901dfdb2541b150c96b70055368e00ee | cf720b69d428b92186e84e52ff4f7eb39b8dd723 | /Probablity and Statistics/3. WAP to find the probability of drawing an ace after drawing an ace on the first draw.py | d831885a30876fdd223cd5f274b1fb19dbec87e6 | [] | no_license | bl-deepakchawla/ML-Followship-Program | b0fd2232f6dd2ea4356e4402be86cca84a5fbd60 | 41d88172ea226c42c1f56fd9e59769142575734c | refs/heads/master | 2020-04-01T13:56:11.595143 | 2018-10-31T10:28:19 | 2018-10-31T10:28:19 | 153,273,456 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 410 | py | def pr_ace_after_ace_draw(l_ace_cards, l_total_cards):
l_pr_ace_card = (l_ace_cards/l_total_cards) * 100
return l_pr_ace_card
g_total_cards = 52
g_ace_draw = 1
g_total_cards = g_total_cards - g_ace_draw
g_ace_cards = 4 - g_ace_draw
g_pr_ace_card = pr_ace_after_ace_draw(g_ace_cards, g_total_cards)
print("Proba... | [
"deepakchawla35@gmail.com"
] | deepakchawla35@gmail.com |
7e13be84bbf8b99b433ee0cdf9942b535f5fe129 | e2a78a6ada3d87f90231b0457eb46d5999c75ee0 | /LINFO1101/[INFO1] Informatique 1 - Introduction à la programmation/Session 03/Q_Plus grand diviseur.py | 36d53895d2e44438216f09844cf53611c46c6d23 | [] | no_license | Oldgram/SINFEDU | 3df19e6db5737bc1fff5e0dcd2171c5e737f4b31 | 1012355bc418c62de117b56bf4726336b88bf8ef | refs/heads/master | 2023-02-26T19:52:28.987465 | 2021-02-02T14:33:35 | 2021-02-02T14:33:35 | 233,269,625 | 6 | 6 | null | 2021-01-20T23:32:47 | 2020-01-11T17:26:59 | Java | UTF-8 | Python | false | false | 115 | py | if a == 0 or a == 1 : return None
l = []
for i in range(1, a+1):
if not a % i:
l.append(i)
return l[-2] | [
"goffindy@gmail.com"
] | goffindy@gmail.com |
2b450b24f67d599f14f273d97dbbfbec3c6f8837 | d6bac4d51530329a8b8ec7f865c56655d5517ada | /formatString.py | 8a2a43c13456b738ae49ff3f89bc9b45d8324442 | [] | no_license | diogocatapreta/pythoncouse | 7bde33e83f799aed12f8fb96eea057f94195f086 | f865ef4c3928a1d7ee7be62ebbdc70c3aee605f0 | refs/heads/master | 2021-04-30T08:31:08.763622 | 2018-02-22T18:10:17 | 2018-02-22T18:10:17 | 121,377,677 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | name = "Diogo"
machine = "Welly"
interpolation = True
if interpolation:
print("Hello {0}, I'm a machine and my name is {1}".format(name, machine))
else:
#String Interpolation sample
print(f"Hello {name}, I'm a machine and my name is {machine}.") | [
"diogocatapreta@gmail.com"
] | diogocatapreta@gmail.com |
22fe6252c1d33a331415ffaf644c9dbdb687b865 | 99b062cb9f5f3ff10c9f1fa00e43f6e8151a43a6 | /algorithm/IM/반나누기.py | 0f16cc1db1f921f7c87b424d4ce293b0641550ca | [] | no_license | HSx3/TIL | 92acc90758015c2e31660617bd927f7f100f5f64 | 981c9aaaf09c930d980205f68a28f2fc8006efcb | refs/heads/master | 2020-04-11T21:13:36.239246 | 2019-05-08T08:18:03 | 2019-05-08T08:18:03 | 162,099,042 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 783 | py | import sys
sys.stdin = open("반나누기.txt")
T = int(input())
for tc in range(1, T+1):
N, Kmin, Kmax = map(int, input().split())
score = list(map(int, input().split()))
div_class = []
for T1 in range(1, 101):
for T2 in range(T1+1, 101):
A = []
B = []
C = []
... | [
"hs.ssafy@gmail.com"
] | hs.ssafy@gmail.com |
b3a29506b11dcc3e4676d7b4a86512f5f01e9ffb | 91f665f982b164eeb3b6db21eb047746e8488ba5 | /LY.py | 97808d7d4a5ab867627318ae834ce2f411beae00 | [] | no_license | 46319943/qgis_plugin_homework | 1dd6915b9617e55609c2dd858c64cb011742ab5d | 94cb6bc74512a439effad1e5556e1bf9cbfeb3bd | refs/heads/master | 2023-01-02T21:17:56.255944 | 2020-10-20T09:10:18 | 2020-10-20T09:10:18 | 305,649,392 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,775 | py | # -*- coding: utf-8 -*-
"""
/***************************************************************************
LY
A QGIS plugin
LY
Generated by Plugin Builder: http://g-sherman.github.io/Qgis-Plugin-Builder/
-------------------
begin : 2... | [
"495384481@qq.com"
] | 495384481@qq.com |
cc93233f0b52c7d0783f65cc3716005438cc0fd3 | 164ffe077dde59373ad9fadcfd727f279a1cfe93 | /jni_build/jni/include/tensorflow/python/client/timeline.py | 03e07a27ad5cafa21dfe51e752b2a4f8cbfac7b7 | [] | no_license | Basofe/Community_Based_Repository_Traffic_Signs | 524a4cfc77dc6ed3b279556e4201ba63ee8cf6bd | a20da440a21ed5160baae4d283c5880b8ba8e83c | refs/heads/master | 2021-01-22T21:17:37.392145 | 2017-09-28T21:35:58 | 2017-09-28T21:35:58 | 85,407,197 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 24,412 | py | # Copyright 2016 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... | [
"helder_m_p_novais@hotmail.com"
] | helder_m_p_novais@hotmail.com |
1125be93d6bf6ec5f578a754b518db5452606a9d | 4d8f0c491943e0c688c11561c7f57d815b014b76 | /experiments/tf_vae_pixel/resnet_16.py | a289791f5c82669c58bc4a02e9871acbdb7e5406 | [] | no_license | kundan2510/nn | d5e434e9d6275a82a04c12df4d8e4be855c39ab5 | 39d247f3b64f9ac9400835dd72d3af7a84578449 | refs/heads/master | 2020-12-26T03:10:23.949984 | 2016-12-27T20:23:58 | 2016-12-27T20:23:58 | 64,513,518 | 0 | 1 | null | 2016-07-29T22:19:40 | 2016-07-29T22:19:39 | null | UTF-8 | Python | false | false | 42,905 | py | """
Multilayer VAE + Pixel CNN
Ishaan Gulrajani
"""
import os, sys
sys.path.append(os.getcwd())
N_GPUS = 1
try: # This only matters on Ishaan's computer
import experiment_tools
experiment_tools.wait_for_gpu(tf=True, n_gpus=N_GPUS)
except ImportError:
pass
import tflib as lib
import tflib.debug
import tf... | [
"kundankumar2510@gmail.com"
] | kundankumar2510@gmail.com |
1ae844e3e607fb795c24cc0a0a10b36e1af206df | ff74348a3ad5f08e5f857767fb900580a0fc2894 | /Module/testJSON.py | 487b0f1fbfbf2fffa531c1ea90d142bc6bbc904e | [] | no_license | AForbis/Movies-ETL | 9ab77c64d63673b0f127bdff16fa828ff496e75d | d64f057d590199ba1aaeee1b6fcf464589bd633d | refs/heads/main | 2023-03-19T17:47:02.505846 | 2021-02-26T16:00:09 | 2021-02-26T16:00:09 | 338,619,501 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 399 | py | #%%
import json
import pandas as pd
import numpy as np
# %%
file_dir = 'C://Users/alexf/Desktop/Bootcamp/Movies-ETL/'
# %%
with open(f'{file_dir}/wikipedia-movies.json', mode='r') as file:
wiki_movies_raw = json.load(file)
# %%
len(wiki_movies_raw)
# %%
# First 5 records
wiki_movies_raw[:5]
# %%
# Last 5 records
wi... | [
"alexforbis@utexas.edu"
] | alexforbis@utexas.edu |
2f9ff8e134eaa96dab94a8adf57b27fb8a23be23 | d6cf604d393a22fc5e071a0d045a4fadcaf128a6 | /Challenge Book/JOI_2007_C.py | 7e53612c30d66f59e862f33ab20efe583c393bc7 | [] | no_license | shikixyx/AtCoder | bb400dfafd3745c95720b9009881e07bf6b3c2b6 | 7e402fa82a96bc69ce04b9b7884cb9a9069568c7 | refs/heads/master | 2021-08-03T21:06:45.224547 | 2021-07-24T11:58:02 | 2021-07-24T11:58:02 | 229,020,968 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 444 | py | import numpy as np
import sys
sys.setrecursionlimit(10 ** 7)
read = sys.stdin.buffer.read
readline = sys.stdin.buffer.readline
# 半分全列挙
N, M = map(int, readline().split())
P = np.array([0] + read().split(), np.int64)
P = P[P <= M]
P2 = (P[:, None] + P[None, :]).ravel()
P2 = P2[P2 <= M]
P2.sort()
# numpyで並列にやらないと間に合... | [
"shiki.49.313@gmail.com"
] | shiki.49.313@gmail.com |
2c399c1745c86c9f7a98fac907d68674946c84be | ed5cb7ca5d815ee9401b58d1f2f0c560cba2e46a | /homework2(ylab).py | 048111aee3585429b56c636d2e70c1a7eb4c8a94 | [] | no_license | reydnn/ylab-homework | 57ab0e79246534086d0913df627c823c36076191 | c2d7f5aaedc7beabc061d4e97f6423d8c5898799 | refs/heads/main | 2023-08-23T20:27:12.527163 | 2021-10-17T11:43:35 | 2021-10-17T11:43:35 | 417,834,948 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,367 | py | from tkinter import *
import random as random
game = True
field = []
x_count = 0
length = 10
widht = 10
def print_window(): # отрисовка игрового окна
root = Tk()
root.title('Игра')
for row in range(length):
line = []
... | [
"noreply@github.com"
] | noreply@github.com |
f4279375082aa381ae5e057b8c58038de2b7a844 | b39c3568d2347dfb1dfa9581f0bf9e3e24d15a73 | /rl_algos/offpol_correction.py | 66ede794260a0f3c8a17fdd3b450d3971224c672 | [] | no_license | P-Schumacher/research | 2f55ea4fa5bad32c2537298a619c4f55d4338f06 | 61bcf6aed6594d57c3074b43a2b8ffa80e79ca5d | refs/heads/master | 2023-02-12T08:43:41.400651 | 2021-01-04T13:22:47 | 2021-01-04T13:22:47 | 242,512,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,645 | py | import tensorflow as tf
from pudb import set_trace
@tf.function()
def off_policy_correction(subgoal_ranges, target_dim, pi, goal_b, state_b, next_state_b, no_candidates, c_step, state_seq,
action_seq, zero_obs):
# TODO Update docstring to real dimensions
'''Computes the off-policy cor... | [
"pier_schumacher@hotmail.com"
] | pier_schumacher@hotmail.com |
49e1044a4d5765da4d4a8804e49e49c69cc6eaae | 985d7454f6684d3b7fdb1311596eda6364c84a5f | /Backend Projects/education-platform-for-pythoneers/task_statistics_app/tests/test_models.py | 62162c023f7a503f0b9fc2af38fc2e482ce5f252 | [] | no_license | kgarbacinski/Devs-Mentoring-Students-Projects | 3c152b3ae548c4cc941774c1a9102586d3d281e0 | 05114fbad76ddb62aaf3adfc4007494ec6fb0e06 | refs/heads/master | 2023-08-13T16:26:35.833156 | 2021-10-16T08:54:35 | 2021-10-16T08:54:35 | 406,718,325 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,607 | py | from django.test import TestCase
# Own
from task_statistics_app.models import TasksStatistics
class TestTasksStatistics(TestCase):
@classmethod
def setUpTestData(cls) -> None:
TasksStatistics.objects.create(
task_title="Test Task",
sum_of_all_tries_per_task=0,
sum_... | [
"kgarbacinski@gmail.com"
] | kgarbacinski@gmail.com |
200a73a7cdedd2e3dde32dd56a9c23425875847d | ccabbdb36a21c2e248821ceba9cd9d147de1f96c | /0x02-python-import_modules/add_0.py | 5f01a53b5c52abc310801def9469ef3c96bd682d | [] | no_license | adri-er/holbertonschool-higher_level_programming | eb08dc8a8c3338a37d3d3e005520a0f2338c0af1 | 305db8d8834eac0283b1514d3c11940c9c1c12e3 | refs/heads/main | 2023-08-13T10:02:21.501247 | 2021-09-23T02:57:35 | 2021-09-23T02:57:35 | 361,915,377 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 205 | py | #!/usr/bin/python3
def add(a, b):
"""My addition function
Args:
a: first integer
b: second integer
Returns:
The return value. a + b
"""
return (a + b)
| [
"adriana.er98@hotmail.com"
] | adriana.er98@hotmail.com |
55cef7ba6f4bab4b32350b0bcbab3ce2d4c00d12 | 8f8ac99fd3ed9ceb36778b404f6fdd0b6899d3f4 | /development-support/wheel-smoke-test.py | fc47c188998f8298c69edac63841101e78c93158 | [] | no_license | strogo/pyobjc | ac4201c7742eb75348328eeecb7eedf4e3458de3 | 2579c5eaf44b0c5af77ee195c417d2c65e72dfda | refs/heads/master | 2023-07-13T00:41:56.448005 | 2021-08-24T06:42:53 | 2021-08-24T06:42:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,668 | py | """
Helper script for performing smoke tests on an installed
copy of PyObjC
# NOTE: This file is not yet complete
"""
import platform
from distutils.version import LooseVersion
import objc # noqa: F401
from AddressBook import * # noqa: F401, F403
from AppleScriptKit import * # noqa: F401, F403
from AppleScriptObj... | [
"ronaldoussoren@mac.com"
] | ronaldoussoren@mac.com |
43b57a33e9da0cb5bf97b804bf1344c69e0fe7a8 | 84028feac9a808d64e7b45afde597bc3f2eef6c9 | /movie_program/apps.py | 79d39a36d0f0ba4e4c58900703821d884f86317f | [] | no_license | kaleykong/copy_netflix | df4bb537f8b55668d814f3d36cd82913e54dd73d | d39a5c52e3b31771ee54531a93f208edffb280a0 | refs/heads/master | 2022-12-06T08:35:32.517541 | 2020-08-24T09:46:53 | 2020-08-24T09:46:53 | 289,798,844 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 100 | py | from django.apps import AppConfig
class MovieProgramConfig(AppConfig):
name = 'movie_program'
| [
"kaleykong@lever-t.com"
] | kaleykong@lever-t.com |
b59ab8b44b9932748a04872ae0b78b7ccf42e11d | 7a75cb7621a198e9609c1922f51b701a709bd94b | /flickrapi-1.4.2/flickrapi/multipart.py | 69e6f14f47bcc37cd2f1530d125a8e08509658f4 | [
"BSD-3-Clause",
"MIT"
] | permissive | cycomachead/FlickrTools | eee9ee0a89a384da01a932ee8f0c535f27344b7b | 1610dcb4ad253ffab7a1bb9a5e79270569376566 | refs/heads/master | 2021-01-23T12:45:50.579816 | 2013-10-06T10:09:14 | 2013-10-06T10:09:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,885 | py | # -*- encoding: utf-8 -*-
'''Module for encoding data as form-data/multipart'''
import os
import base64
class Part(object):
'''A single part of the multipart data.
>>> Part({'name': 'headline'}, 'Nice Photo')
... # doctest: +ELLIPSIS
<flickrapi.multipart.Part object at 0x...>
>>> image = op... | [
"cycomachead@gmail.com"
] | cycomachead@gmail.com |
5aa39cd29ff6236b62f61c9c3f51364eea44b3a5 | 419db2c95082e57eab3ebea9568693c2a961add7 | /pyverilog/dataflow/dataflow_analyzer.py | 8136f89271efed5ed13e2089e74ec92349f3bf33 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | hoangt/Pyverilog-1 | ef309528150a3174e74126b2f1328ca9824fcbfe | d0cb60a5633e88f59a7c5c36dff8981f000ee525 | refs/heads/master | 2021-01-19T22:53:52.170548 | 2015-09-16T15:23:16 | 2015-09-16T15:23:16 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,027 | py | #-------------------------------------------------------------------------------
# dataflow_analyzer.py
#
# Verilog module signal/module dataflow analyzer
#
# Copyright (C) 2013, Shinya Takamaeda-Yamazaki
# License: Apache 2.0
#-------------------------------------------------------------------------------
from __futu... | [
"shta.ky1018@gmail.com"
] | shta.ky1018@gmail.com |
6a30dc9b38211d87c056b375cf9b69902f2e7a72 | db02d8bb5df07ebcfdbb17a771efdc6fc4d412e2 | /classifier.py | 068bd5fbc8c14e4a74eb1a45cbf058a4b701ffd2 | [] | no_license | meismaomao/Pig2 | 8b9d5db25bff7614e94188d94d797baece6529b7 | 6b490cf125a9a993113e979e0f82fac87d71b6f3 | refs/heads/master | 2021-08-28T23:32:55.062506 | 2017-12-13T08:35:49 | 2017-12-13T08:35:49 | 112,196,648 | 24 | 6 | null | null | null | null | UTF-8 | Python | false | false | 3,762 | py | import tensorflow as tf
import numpy as np
import model
import data_process
import pickle
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
def main(data, iter_num, labels, train=True):
BATCH_SIZE = 2
ITERATION = iter_num
embedding_size = 1024
CLASS_NUM = 30
train_anch... | [
"yqljxr@163.com"
] | yqljxr@163.com |
3aee2304f6ce6905b17a4929c76426d41f7fb975 | 873a93d9082d5a8679a23bd0fdd32a6b48722ba5 | /error.py | 707eefa0ebbabae4db40136b075a223d53014852 | [] | no_license | AdedejiAdewole/SoilFertility-predictive-model- | 35dba309559264bef8458f2d63cf7ddc559a2585 | a2ee67dbf1d7820cbfd7df53dd8fbb381866d879 | refs/heads/master | 2023-01-30T10:08:37.569809 | 2020-12-07T13:24:52 | 2020-12-07T13:24:52 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,814 | py | import pickle
import threading
import time
import numpy as np
import pandas as pd
from kivy.app import App
from kivy.clock import Clock, mainthread
from kivy.lang import Builder
from kivy.uix.label import Label
from kivy.uix.popup import Popup
from kivy.uix.screenmanager import ScreenManager, Screen
from k... | [
"noreply@github.com"
] | noreply@github.com |
513585815f578441d36ec0ca05c53d57e7f93932 | 20357b1919b7c7c846704ab1bca9a0e1f8fb732e | /Notebooks/core/image/image_compression.py | 86edb3d3688b051e38362e22aa6e9d80d5575c9d | [] | no_license | h3nok/MLIntro | 56e287dadb7fb56afdc0ac6cf5378764e7ed633c | 397936ea146bf7522277c70061b386feb3563317 | refs/heads/master | 2022-12-13T05:28:14.779945 | 2021-12-09T18:29:12 | 2021-12-09T18:29:12 | 199,041,488 | 0 | 0 | null | 2022-12-08T11:36:48 | 2019-07-26T15:34:56 | Jupyter Notebook | UTF-8 | Python | false | false | 4,028 | py | import cv2
import numpy as np
import os
class Compressor:
__image__ = None
def __init__(self, image):
self.__image__ = image
self._src_path = None
@classmethod
def from_image_path(cls, image_path: str):
"""
Initializes the Compressor class.
:param image_path:... | [
"nkenok@outlook.com"
] | nkenok@outlook.com |
30e1bb070924905323da2b3adf333239477b7c6d | 8bac6c63a7b826bfd6b415e6faa51ff22505d112 | /openNFR-skin-2018/usr/lib/enigma2/python/Components/Renderer/NFRSambaVpnIp_renderer.py | fabdc9a68e371461e2f463086cbfa48cd40c720c | [] | no_license | stein17/Skins-for-openNFR | 03330102b7d883f8485297cea0468143d9116b6f | ca6c5d02035e4bacdad6efc45995249a317b7fb6 | refs/heads/master | 2023-03-12T19:58:50.112456 | 2022-03-21T07:02:03 | 2022-03-21T07:02:03 | 94,653,786 | 0 | 15 | null | 2023-03-02T17:52:37 | 2017-06-17T23:05:42 | Python | UTF-8 | Python | false | false | 467 | py | from Renderer import Renderer
from enigma import ePixmap
class NFRSambaVpnIp_renderer(Renderer):
def __init__(self):
Renderer.__init__(self)
GUI_WIDGET = ePixmap
def postWidgetCreate(self, instance):
self.changed((self.CHANGED_DEFAULT,))
def changed(self, what):
if what[0] != self.CHANGED_CLEAR:
if sel... | [
"lutz.f.kroll@gmail.com"
] | lutz.f.kroll@gmail.com |
a7ef23256e595386a7431764d2bac9c29a0477b7 | 6e6a082325a9b38ce9b5258e6171a776636fdd68 | /movie-project/main.py | 75cc96e29ffaf20e7e91ae6e24ac8fe1f83b3555 | [] | no_license | bunja/python-100days | 5d8d0e7739e642ab16289c6a1b371776a761370a | 494e945a9e5d4cecff6583f5851ee18564a1f2e9 | refs/heads/main | 2023-08-30T17:12:41.244183 | 2021-11-04T13:45:28 | 2021-11-04T13:45:28 | 369,013,652 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,405 | py | from flask import Flask, render_template, redirect, url_for, request
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
from wtforms.fields.simple import HiddenField
from wtforms.validators import DataRequired
import... | [
"kos.lv@yandex.com"
] | kos.lv@yandex.com |
d764099b2b06d795e622a7d7bca8d90fd827e50f | c3cce2f010504298da154d3a9f7efa094e1d006d | /programs/count_string_without_space.py | d6062eaa79f21d69cc5f7b0e834e0c52d2d67475 | [] | no_license | MVasanthiM/guvi | 8bbaa06960830d487e16d58066e0871d987667c5 | db2eebb55edac19387e8f218a3af9e6de87980de | refs/heads/master | 2020-06-03T00:07:51.431371 | 2019-08-13T12:52:51 | 2019-08-13T12:52:51 | 191,355,065 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 70 | py | a=input()
c=0
for i in a:
if i.isspace!=True:
c+=1
print(c)
| [
"noreply@github.com"
] | noreply@github.com |
bf7fcf88de1f76cb2ade9e1d5ad78bb6c9d5350f | 8ae0bf166da68488efec84fe79063f874687b332 | /tests/ext/django/settings.py | 47565381bb011dbafa23c965dd6905ecef88234f | [
"BSD-3-Clause"
] | permissive | snopoke/slycache | 75aafcd0fb9c9289a292c907f48159652e275f93 | 412e9e81a8c53f684f3fd7c5dafb6b06ecfbd0c0 | refs/heads/main | 2023-06-01T19:20:12.847651 | 2021-03-16T20:30:28 | 2021-03-16T20:30:28 | 340,279,785 | 0 | 0 | NOASSERTION | 2021-06-14T07:26:50 | 2021-02-19T06:34:25 | Python | UTF-8 | Python | false | false | 494 | py | DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
},
}
INSTALLED_APPS = ['slycache.ext.django']
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache',
'TIMEOUT': 60,
'LOCATION': 'location-1',
},
... | [
"skelly@dimagi.com"
] | skelly@dimagi.com |
4a6527f8ab80096d974ecbc2592c03ee486098cf | 6632896b4e320c932bdaa98b2caa16e057905333 | /utils/io/labels/character.py | 42500f3bb08e1952e8f60fcd45e82f1d64eb7841 | [
"MIT"
] | permissive | sky1170447398/tensorflow_end2end_speech_recognition | 56229b5de62c8a4580a9d349afe6ccdf20d478fb | 7ef52ae702db3852a7339136852bb14585e55b3b | refs/heads/master | 2021-07-13T14:26:22.117311 | 2017-10-12T00:51:12 | 2017-10-12T00:51:12 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,507 | py | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
class Char2idx(object):
"""Convert from character to index.
Args:
map_file_path (string): path to the mapping file
"""
... | [
"hiro.mhbc@gmail.com"
] | hiro.mhbc@gmail.com |
f083028d794d36880b64451d9cd91e8f72074936 | b5c2bc7dcfd924717775a6b8c4a79c02cec2090b | /pre-processing/pre-processing-code/lambda_function.py | 89d1157dbb4b1419083ed4143656951056159d42 | [
"CC-BY-4.0",
"CC-BY-3.0"
] | permissive | rearc-data/who-covid-19-cases-deaths | 52d5e58e0468e29e9a9d49d82f17feedd9f42619 | 532c896b89febce38b3d0edd36c35a4c69e6040a | refs/heads/master | 2023-06-03T08:31:56.049504 | 2020-05-19T05:19:18 | 2020-05-19T05:19:18 | 258,016,496 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,437 | py | import time
import json
from source_data import source_dataset
import boto3
import os
from datetime import date, datetime
os.environ['AWS_DATA_PATH'] = '/opt/'
dataexchange = boto3.client(
service_name='dataexchange',
region_name=os.environ['REGION']
)
marketplace = boto3.client(
service_name='marketplace-catalog... | [
"me@derekwolpert.com"
] | me@derekwolpert.com |
ed71b75da8a01e6d632ea9b987b714f5e40022da | 46f1c3c6c319bc52772779d9e3d5ed5649849fa8 | /pybasic/ex01_removefile/mergebatfile.py | 07744ba7074c70522aebcaaf428f0236c9ad17cf | [] | no_license | fioletflying/pycook | b2789cb8b3ab87c6062211c82ef8b554acd0543a | 8e70a1fb3b8c687987325f91b4918853eaae693e | refs/heads/master | 2021-06-23T19:05:35.083184 | 2021-02-03T02:00:26 | 2021-02-03T02:00:26 | 180,733,211 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,422 | py | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @author : Feifei
# @IDE : Pycharm
# @file : mergebatfile.py
# @time : 2019/6/3 14:41
import os
import sys
def mergeBat(inputPath,outputPath):
listpaths = []
files = os.listdir(inputPath)
for file in files:
if os.path.splitext(file)[... | [
"fioletflying@hotmail.com"
] | fioletflying@hotmail.com |
a59b69de96b87c4963e2a5082a415c273af284f3 | 2da8bcfb9a72e507812a8723e38ad6d030c300f1 | /two_sum_1.py | 57a56e2fc2bce51207bff8c27039bcaa0809aea2 | [] | no_license | aditya-doshatti/Leetcode | 1a4e0f391a7d6ca2d7f8fdc35e535f4ec10fb634 | eed20da07896db471ea6582785335e52d4f04f85 | refs/heads/master | 2023-04-06T02:18:57.287263 | 2023-03-17T03:08:42 | 2023-03-17T03:08:42 | 218,408,346 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 995 | py | '''
1. Two Sum
Easy
Given an array of integers, return indices of the two numbers such that they add up to a specific target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
Example:
Given nums = [2, 7, 11, 15], target = 9,
Because nums[0] + nums[1] = 2 +... | [
"aditya.doshatti@sjsu.edu"
] | aditya.doshatti@sjsu.edu |
b9f094638372cc8dd62303be40a4c5728ec5ed7a | 491d89ae62905494318fe89183c0c8ecfd981240 | /python基础/数据类型和变量.py | ec3b4ac87f4fd72f444dae4c06ac0c73da49c2e9 | [] | no_license | jiangfeng-Myself/my-test | 44e75219a541decf5cc277ee58e28736a3ca277e | 8a26cdb8e6d705c4968a87f96a210ac57ada1a40 | refs/heads/main | 2023-05-11T09:06:46.990230 | 2021-05-13T15:31:08 | 2021-05-13T15:31:08 | 361,392,735 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 524 | py | # 数据类型：
# int
# float
# string
# 转义字符：
# \n :换行
# \t : 制表符
# 用''' '''展示多行信息
print('''line1
line2
line3''')
# 布尔值: 布尔值的运算(and 和 or 和 not)
print(True and False)
print(True or False)
print(not True)
# 空值：
# 变量：同一变量可以被重复赋值
a = 'abc'
print(a)
a = 234
print(a)
# 除法：
# 单纯的除法：10/3
... | [
"noreply@github.com"
] | noreply@github.com |
a6c9e2f8afdfa6e3ecfc304bd5ba029828ddd079 | 05fe579c12f0013ce83a106083ddb66ace5e8f47 | /tests/ut/profiler/analyser/test_minddata_analyse.py | 8d05ddc449bd9c051e0779ee0ddd08c06f4c94c7 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"MIT",
"BSD-3-Clause"
] | permissive | mindspore-ai/mindinsight | 59d3f47144ada9a12d2c82d9826ad5f5288aed78 | a774d893fb2f21dbc3edb5cd89f9e6eec274ebf1 | refs/heads/master | 2023-07-22T22:46:43.075617 | 2023-07-17T11:26:58 | 2023-07-17T11:26:58 | 250,692,948 | 224 | 24 | Apache-2.0 | 2020-12-29T12:22:51 | 2020-03-28T01:58:56 | Python | UTF-8 | Python | false | false | 2,818 | 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 to... | [
"zhangyihui7@huawei.com"
] | zhangyihui7@huawei.com |
7d4e6bffda2aa0fba7162dcdddd61002522e4a74 | 5f408e5c43cf39a0ae6abf1c1309004f997cc7ee | /extras/benchmark/format_bench_results.py | 45065d4b7c14abb9180393e80434e2d0bf098081 | [
"Apache-2.0"
] | permissive | fran6co/fruit | 408e24385ded3c8d49e23f0c572e4ce4d7569622 | b34b703b4d50b49a658aeab227765bc3260d7d89 | refs/heads/master | 2021-01-19T10:34:32.890334 | 2017-05-09T08:42:15 | 2017-05-09T08:42:15 | 82,211,310 | 0 | 0 | null | 2017-02-16T18:14:59 | 2017-02-16T18:14:59 | null | UTF-8 | Python | false | false | 13,384 | py | #!/usr/bin/env python3
# Copyright 2016 Google Inc. 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 requir... | [
"poletti.marco@gmail.com"
] | poletti.marco@gmail.com |
8138e1872ba83e8b4e5232c1d3cc450e30f9a153 | 527cc44efaa5a2d738d638d76cf4737b37a0e27d | /fiepipe.py | 3302504191367767067a54043f89092e1dc52f4e | [
"MIT"
] | permissive | leith-bartrich/fiepipe | c98a978d81a24013a98bbae97c65ca053e9af481 | 2f48054a349059ec5919ff9402a02c03b27b5915 | refs/heads/master | 2021-04-06T13:52:51.391039 | 2019-06-25T21:01:39 | 2019-06-25T21:01:39 | 125,394,369 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 565 | py | #!/usr/local/bin/python
import fiepipelib.localplatform.routines.localplatform
import fiepipelib.localuser.routines.localuser
import fiepipedesktoplib.shells.fiepipe
def main():
# TODO register fie.us and populate the public key from somewhere authoritative.
platform = fiepipelib.localplatform.routines.local... | [
"brad@fie.us"
] | brad@fie.us |
a7b1fbcdbf63db82f5b5e4d4447927af0cdd1ab4 | 9fbb38727732e234b78c06f9bd3f443b524364df | /partners/migrations/0013_migrate_clubcard_to_m2m.py | 6e7a22f65ae93531e99b30ccbb6a00f6b2f9427d | [] | no_license | stden/bonushouse | 0f6e42b22b809ad8cf26b16345a2e611ebb4008b | e6a47105026021c6b5ee9882de9181eb9ee6c668 | refs/heads/master | 2016-09-09T19:58:58.508714 | 2013-07-09T14:55:24 | 2013-07-09T14:55:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,716 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import DataMigration
from django.db import models
class Migration(DataMigration):
def forwards(self, orm):
"Write your forwards methods here."
# Note: Remember to use orm['appname.ModelName'] rather than "from ... | [
"root@free.ds"
] | root@free.ds |
33ec7b25f70d0994dc1a5448e31e5b47d09d0dcb | 34f756b62911e36c3aa16af59630b80799e22b8d | /server/main.py | 30f1de5cb4e6bf980e945260b7ee1a85adc72101 | [
"MIT"
] | permissive | vadym-khodak/play-with-k8s | 4b227bc9d4d814f3f266e6fa90daa25d68969e0a | b81090ea800c3da7f7007f9f332c723da29776fc | refs/heads/main | 2023-06-22T00:40:31.375168 | 2021-07-16T19:20:34 | 2021-07-16T19:20:34 | 381,859,086 | 1 | 0 | MIT | 2021-07-12T09:59:02 | 2021-06-30T23:42:05 | Python | UTF-8 | Python | false | false | 1,273 | py | import platform
import time
from typing import Optional
import redis
from fastapi import FastAPI, Header
from fastapi.middleware.cors import CORSMiddleware
import config
def create_app():
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=config.ORIGINS,
allow_credenti... | [
"vaddimart@gmail.com"
] | vaddimart@gmail.com |
ec76951464f19ee4aa67d70eb7a04c24ce9a6d22 | 5b08637874bc959bfffe9a076313fd38712ff522 | /main.py | 8c1995bd9e0f646e93cde8e87871299a1feba7be | [] | no_license | OULibDavis/scrape_ou_sso | 8625e25fbe9e31396969d31dcfb2ac801fd9e17d | 0ec8de78f45960ffc33709fec54a4bded87e9276 | refs/heads/master | 2022-11-30T22:43:18.507380 | 2020-08-14T15:52:13 | 2020-08-14T15:52:13 | 287,369,580 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,608 | py | import requests
from lxml import etree
from urllib.parse import urlparse
from secrets import username, password
s = requests.Session()
resp = s.get("https://accounts.ou.edu/")
if "sso.ou.edu" in resp.url:
print("Redirected to SSO sign-in")
# Make sure we have the valid login url to send authentication
t... | [
"tdpearson@ou.edu"
] | tdpearson@ou.edu |
5146a405a7caef3f85bb856a7847056768592a77 | f090c3e0faa70cf0ef7c4be99cb894630bce2842 | /clients/4wire_measurement_keithley_VoltageOnly.py | 1b1099070a75253fc9935b89243ab044f299db36 | [] | no_license | HaeffnerLab/resonator | 157d1dc455209da9b7de077157bda53b4883c8b7 | 7c2e377fdc45f6c1ad205f8bbc2e6607eb3fdc71 | refs/heads/master | 2021-01-09T20:48:03.587634 | 2016-09-22T18:40:17 | 2016-09-22T18:40:17 | 6,715,345 | 2 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,605 | py |
import labrad
from time import *
from csv import *
import numpy as np
from keithley_helper import voltage_conversion as VC
from keithley_helper import resistance_conversion as RC
#Run on the Windows
cxn = labrad.connect()
#Connect to Windows Computer to use Keithley DMM
keithley2 = cxn.keithley_2100_dmm()
keithley =... | [
"ryanblais11@berkeley.edu"
] | ryanblais11@berkeley.edu |
6149c261c026056311ebdf78fa584f97cdb749a1 | bdd0135efeaee109a9aba65199be90b00518489c | /src/server.spec | bcd259210d21cce47310b62cff2faa962fa91285 | [] | no_license | plundeen/remote-mgmt | a6d99046f225e2d8b999db3813286dbfefe78528 | 968cdadbd81fb3f3cf72ad03067464542562d0e5 | refs/heads/master | 2023-08-26T07:59:10.332494 | 2021-10-13T22:27:04 | 2021-10-13T22:27:04 | 410,017,612 | 0 | 0 | null | 2021-09-24T22:52:32 | 2021-09-24T15:40:17 | Python | UTF-8 | Python | false | false | 1,088 | spec | # -*- mode: python ; coding: utf-8 -*-
block_cipher = None
a = Analysis(['server.py'],
pathex=['C:\\Users\\plundeen\\PyProxy\\src'],
binaries=[],
datas=[('templates', 'templates'), ('static', 'static')],
hiddenimports=[],
hookspath=['hooks'],
... | [
"plundeen@tae.com"
] | plundeen@tae.com |
48ee96aaa54d9169918858f83eda7034d7c94797 | af3d3cd43d156d10fd2b6016b3527cb2d03e7d7a | /utils/score.py | 590edd1e6c390b39767c5a0ac6c59d60d9f2a60f | [
"Apache-2.0"
] | permissive | YapheeetS/stance_detection | 11e79ec1bcca3a2bdba795c71635b29eb5d70b19 | 7710d558676b4ec86f2dd1fde5da43e29ba3676f | refs/heads/master | 2022-12-01T17:55:59.763174 | 2020-08-20T18:47:31 | 2020-08-20T18:47:31 | 289,083,697 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,980 | py | #Adapted from https://github.com/FakeNewsChallenge/fnc-1/blob/master/scorer.py
#Original credit - @bgalbraith
from sklearn.metrics import f1_score
LABELS = ['agree', 'disagree', 'discuss', 'unrelated']
LABELS_RELATED = ['unrelated','related']
RELATED = LABELS[0:3]
def score_submission(gold_labels, test_labels):
m... | [
"liaohaojin@163.com"
] | liaohaojin@163.com |
823e85e0dfe556e154f26652a500ed91838d9a13 | 8fa8ded3772dd7a124c1bbb91fc109ed2b63574b | /mycelium/apps/volunteers/tests/selenium_abstractions.py | 5cda3d87e310f4732fb2b14444382ce6e7a8d3c9 | [] | no_license | skoczen/mycelium | 3642b0f5e5ea03d609a3e499c7ad68092101dce0 | da0f169163f4dc93e2dc2b0d934abf4f18c18af0 | refs/heads/master | 2020-04-10T09:21:46.893254 | 2014-05-20T02:27:06 | 2014-05-20T02:27:06 | 2,114,887 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,479 | py | import time
from test_factory import Factory
class VolunteerTestAbstractions(object):
def create_new_volunteer(self):
sel = self.selenium
self.create_john_smith_and_verify()
sel.click("css=.detail_tab[href=#volunteer]")
time.sleep(1)
assert sel.is_text_present("No volunteer... | [
"steven@quantumimagery.com"
] | steven@quantumimagery.com |
391255ad2f1eb691e84f5d00bbc3fd938027e7ef | 23403df53224ca581b9ace9114d424bcaa6506a0 | /mnist/model_experiment.py | cac54f7d95fd379b7f4255cebd57f5f0d044ce25 | [] | no_license | jimthompson5802/ludwig_examples | 7ee06e62ebc202e48e7cd90693e32b4a7ef0140f | 926f37e6bf4cc0c92817828b45ddcd06277e64e6 | refs/heads/master | 2022-05-02T11:48:12.314495 | 2022-04-20T00:12:12 | 2022-04-20T00:12:12 | 216,285,701 | 14 | 1 | null | null | null | null | UTF-8 | Python | false | false | 667 | py | from ludwig.api import LudwigModel
import logging
import glob
import os
# reset data preprocessing
files = glob.glob('./data/*.hdf5')
for f in files:
try:
os.remove(f)
except:
pass
files = glob.glob('./data/*.json')
for f in files:
try:
os.remove(f)
except:
pass
# tra... | [
"jimthompson5802@aol.com"
] | jimthompson5802@aol.com |
5171d6acac1e78b70a50a813ff700ead3317d7d9 | 7b7c570b30d6d7a0e9b904c7cb378cfb0d0f0e07 | /mlflow/models/flavor_backend.py | 894829a8cfcb69840c6c12785cdff07fc6a9cbb5 | [
"Apache-2.0"
] | permissive | mlflow/mlflow | ca97bfbbf32f8e59f454e428f5e46eb3d34d062f | 37298ffafcd34002352d01d579d4524790544267 | refs/heads/master | 2023-09-01T13:15:53.902815 | 2023-09-01T09:00:42 | 2023-09-01T09:00:42 | 136,202,695 | 14,102 | 3,748 | Apache-2.0 | 2023-09-14T21:52:42 | 2018-06-05T16:05:58 | Python | UTF-8 | Python | false | false | 3,421 | py | from abc import ABCMeta, abstractmethod
from mlflow.utils.annotations import developer_stable
@developer_stable
class FlavorBackend:
"""
Abstract class for Flavor Backend.
This class defines the API interface for local model deployment of MLflow model flavors.
"""
__metaclass__ = ABCMeta
de... | [
"noreply@github.com"
] | noreply@github.com |
4d600fd63c0aeed5bf18477543b5bc0ec2ebc2dc | c4c92ecdec0d6f767af0f7a2f222be8b9a172896 | /migrations/versions/ad463e3591c5_.py | b20f101422b8902b6fc8b12699780f6b45108d9d | [] | no_license | BBiscov1/WurkBootstrap | aa22737643d0577b2c58ad273821cc6f18654d91 | c9cf461069fb5b248dc663d488568d476c80932f | refs/heads/master | 2022-12-27T00:27:44.265575 | 2020-09-29T20:02:01 | 2020-09-29T20:02:01 | 300,112,915 | 0 | 0 | null | 2020-10-01T02:07:55 | 2020-10-01T02:07:54 | null | UTF-8 | Python | false | false | 1,181 | py | """empty message
Revision ID: ad463e3591c5
Revises: 2c06ec7f8cbe
Create Date: 2020-05-12 18:57:15.884186
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'ad463e3591c5'
down_revision = '2c06ec7f8cbe'
branch_labels = None
depends_on = None
def upgrade():
# ... | [
"angelonelson@outlook.com"
] | angelonelson@outlook.com |
7008601e3bf3445d42e9710cf5c83b8b76fad6b2 | efe7ac5034698b95c7bf86b2800182b6c042310c | /script.service.hue/resources/lib/kodiHue.py | 74eb113100ab1a32223b74f4a4515b8f301fab9d | [
"MIT"
] | permissive | Paynemaster/script.service.hue | 3b8320659c28569b75548160fe13214f39458398 | 1a7c8e9ca732d27a4838f20f6a20c861694d8763 | refs/heads/master | 2023-03-02T09:03:36.365045 | 2020-12-30T18:06:28 | 2020-12-30T18:06:28 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 18,191 | py | import json
from datetime import timedelta
from socket import getfqdn, socket
import requests
import xbmc
import xbmcgui
from resources.lib.qhue.qhue import QhueException
from . import ADDON, QHUE_TIMEOUT, SETTINGS_CHANGED
from .kodisettings import settings_storage
from . import qhue, ADDONID, logger, ca... | [
"krisyoung@gmail.com"
] | krisyoung@gmail.com |
df34fa64996088ed055a205098db599c6b6c7e9c | 19f9ac0c772c3d1be4d7e94bc5599a84ec1dd837 | /Site_management/asgi.py | fbb5c953f0eeb46453b2428d96e224e22b37eb67 | [] | no_license | NyashaGodobi/Assignment-4 | 572b4a6c81daa532441995b6d873a351c22adaa3 | 04648f496fc0ab6a81a9cdaef4d60373c05b001a | refs/heads/master | 2022-11-22T09:03:05.674651 | 2020-07-24T12:17:05 | 2020-07-24T12:17:05 | 282,211,736 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 407 | py | """
ASGI config for Site_management project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJAN... | [
"marlvinchihota@gmail.com"
] | marlvinchihota@gmail.com |
d6080c0d06a462d633df72f5b365878e71594a2c | a175af1ab20cfa010ff6da0b9c56df9101cca73d | /Module1/Chapter5/chapter5.py | 82d0c346c9e5cf7360454eed85000dd476492e5c | [] | no_license | 1170300830/Machine-Learning | 17cd07e9629a909ca78f6d827c801c7d84d63e41 | b3862df67cb420a4b3f9e053227d89b06551612a | refs/heads/master | 2020-03-28T17:17:02.627550 | 2019-02-27T06:27:31 | 2019-02-27T06:27:31 | 148,774,481 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 385 | py | #week 7
'''
第五章
为数据过程建造功能组合
建造机器学习流水线
发现最近邻域
建造一个 k-nearest 领域分类器
建造一个 k-nearest 领域回归器
计算欧几里得距离分数
计算皮尔逊相关分数
在数据集中发现相似用户
生成影片推荐
'''
'''
协作筛选从当前用户过去的行为建立模型
推荐给其他的用户
''' | [
"43235704+wongyu1999@users.noreply.github.com"
] | 43235704+wongyu1999@users.noreply.github.com |
2822101bd3a1a94ad8f127b4a1edf24936e4c48e | a6007c4fdd47b81c332eecf5f2e5388a1d9eb269 | /weshow.py | 89c220412e68c5e8d6b2f0987f1d862a0fb60b97 | [] | no_license | Thomechen/Movie_schedule | b914298e0614cde57bf10704c6ef3dab095261cd | 74acf1f90b57ddda1f3ed0c4ec6819448a6e2f96 | refs/heads/main | 2023-01-23T20:27:36.069432 | 2020-12-07T17:19:30 | 2020-12-07T17:19:30 | 313,836,379 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,213 | py | import requests
import urllib.request
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.... | [
"island6614@gmail.com"
] | island6614@gmail.com |
426754a25a41c7f3a465cbbe669c2600c93eb885 | a9f7ecbb56fcb6b18fd6620af2861530eadb2fb1 | /MyBlog/views.py | d8488d4fb2cebca0b564e1c700db93db772fca65 | [] | no_license | bhagyashree3s/MyBlog | ecc4db5f552f56b7c0ef5dc561f6b960325ea5c7 | 21d5d93aab4780890a5739950948542ab29c8c5d | refs/heads/master | 2022-11-17T11:09:37.426674 | 2020-07-14T14:38:52 | 2020-07-14T14:38:52 | 279,607,524 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 307 | py | from django.http import HttpResponse
from django.shortcuts import render
def about(request):
return render(request,'about.html')
#return HttpResponse('you will make it bhagyashree')
def homepage(request):
return render(request,'homepage.html')
#return HttpResponse('hi bhagyashree!! XOXO')
| [
"bhagyashree3surve@gmail.com"
] | bhagyashree3surve@gmail.com |
482bf4048abae7d06883ea17e77e348d28c91223 | 368d7fcea081c803cdab44ad74f308e6710fbf5c | /for_loop/for-loop-ex2.py | a784e58e297a70c7f2751d34a4362b4d7330efe2 | [] | no_license | kronkanok/workshop_2 | 153d4da87e77989cec7abde7e6c6e9dcc1e513b5 | b326fe31e1f53a5a9f0b6b9129c18607bce605c1 | refs/heads/main | 2023-03-18T11:27:25.873578 | 2021-03-13T14:14:30 | 2021-03-13T14:14:30 | 330,190,305 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 55 | py | string = "banana"
for char in string:
print(char) | [
"noreply@github.com"
] | noreply@github.com |
17e98671744e907b39b79ee00bceb8d098905ea7 | c0792645c156cb9e20a1aa2b28c565150358bc6e | /apps/inmueble/migrations/0017_auto_20180526_0412.py | 8ddac3048c867751bb7c7635c709ef1ddbd2cc4d | [] | no_license | clioo/Praver | b22fd92886e0399845adb4366663cae6a7d7853b | 523f0d78e0a2039a5bae3e539c93e2c2415a0840 | refs/heads/master | 2020-03-11T12:38:54.272392 | 2018-06-28T18:24:21 | 2018-06-28T18:24:21 | 130,003,043 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 411 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2018-05-26 10:12
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('inmueble', '0016_auto_20180526_0410'),
]
operations = [
migrations.AlterModelOptions... | [
"jesus_acosta1996@hotmail.com"
] | jesus_acosta1996@hotmail.com |
37718b8153ac580be6d880230e37603860b6b3ae | 5c212a4da89d89d40f9a795d28a1b39e626b44d3 | /ini/case.py | 8bf1b929a3e879a54e311820355fc10faf2ef300 | [] | no_license | AnSwErYWJ/Python | 0e07166196440d29bfd864653cbb38c75e4c511b | b411a852e7dba471336c080933d3fae4f82360d1 | refs/heads/master | 2016-09-05T23:50:26.388458 | 2015-10-28T03:54:25 | 2015-10-28T03:54:25 | 35,715,220 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,377 | py | #!/usr/bin/env python
# coding=utf-8
import os
import os.path
import ConfigParser
class student_info(object):
#初始化
def __init__(self,recordfile):
self.logfile = recordfile
self.cfg = ConfigParser.ConfigParser()
#读取文件
def cfg_load(self):
self.cfg.read(self.logfile)
... | [
"ywj1993@yeah.net"
] | ywj1993@yeah.net |
a17c8e10327fd1f3e4410e993fc2d0e913549aef | f601b3c96bf7c33f488789ca7c5dd61f3af0aa67 | /Project/src/main.py | 5bf15901c9b9b470324a81e1b5a3c848353f6a5b | [] | no_license | abdur75648/COL-780-Assignments | c7ad4557fa186f4604397c452f6da4a92ab66e7d | e21e8cd401e2781cadda1983fc88338b5aad4b4a | refs/heads/master | 2021-09-01T14:35:01.710437 | 2017-12-27T13:48:03 | 2017-12-27T13:48:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,410 | py | import numpy as np, networkx as nx
import scipy.ndimage
from bundler import *
from box import *
from functions import *
try:
import mrf # mrf is a Cython module that depends on the gco graph cuts library
except ImportError:
print('mrf import failed! Cannot use the MRF-based models. Try compiling it with ... | [
"noreply@github.com"
] | noreply@github.com |
07bcadddefd59904943642eeef05cf637f5af081 | 1b2714c2b103a9a7cd0babe1a84ec24669e3dfeb | /python_study_2/page9/script.py | a4f472c417ca6da7e1e487d2a172f3653b3c22c6 | [] | no_license | ianlombu-09/Python-Course | bd885e50cdd9fcd636c1d92ee673e4775ac945bb | a26a8c7d881f6d1d4203e5280325f26c271df8d0 | refs/heads/master | 2023-03-22T02:47:05.853108 | 2020-08-19T03:02:53 | 2020-08-19T03:02:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 242 | py | numbers = [765, 921, 777, 256]
for number in numbers:
print(number)
# When the number variable is 777, print '777 found, stopping loop' and exit the loop
if number == 777:
print('777 found, stopping loop')
break
| [
"ianlombu@protonmail.com"
] | ianlombu@protonmail.com |
9ba285150af283cf9d35c2c7919feedb6398d693 | 33f351a8444ad0f63b7efd5014957d58175681a8 | /mosaic.py | 3b52f1f9dde233cf6907ce5c3a9eca462b5657ae | [] | no_license | rjonnal/FEM_raster_model | 21bb070c397d73733e366893a8d11314430d8b0f | 7568aec5aeff93146c7481c216f2360e03a36f2c | refs/heads/master | 2021-01-11T21:23:09.319209 | 2017-03-15T22:05:31 | 2017-03-15T22:05:31 | 78,775,079 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 17,047 | py | import numpy as np
from scipy import interpolate
from scipy.signal import convolve2d
from matplotlib import pyplot as plt
import os,sys
from time import time,sleep
from fig2gif import GIF
from cone_density import ConeDensityInterpolator
from random import shuffle
from data_store import H5
import datetime
class Mosaic:... | [
"rjonnal@gmail.com"
] | rjonnal@gmail.com |
f33b381516ae361987247b7d5ecf3162ea2b1413 | 2ecbfa15c50088090d60283b5dbbf0e6f2481c43 | /python/classes/Json.py | a52dd3b0bc7e8d1435d6eb9ab4314f94d14ed8c0 | [] | no_license | petrfaltus/mortgage-calculation-rest-client-source-codes | cff88a705c0017ecc605d0db037f08c47c6c89d1 | 60577daa8bba32900e585c1451cc02c390cbed41 | refs/heads/main | 2023-08-28T21:00:19.458340 | 2021-10-27T18:35:40 | 2021-10-27T18:35:40 | 334,079,942 | 0 | 0 | null | 2021-04-03T13:34:26 | 2021-01-29T08:17:16 | Java | UTF-8 | Python | false | false | 1,655 | py | import json
class Json:
METHOD_NUMBER = "method_number"
LOAN_AMOUNT = "loan_amount"
LOAN_TERM_MONTHS = "loan_term_months"
INTEREST_RATE_PERCENT_PA = "interest_rate_percent_pa"
ERROR_CODE = "error_code"
ERROR_STRING = "error_string"
DATA = "data"
INTEREST_RATE_PERCENT_PM = "interest_ra... | [
"petrfaltus@petrfaltus.net"
] | petrfaltus@petrfaltus.net |
de2a34e609fc4ee854d4f0dea3df532f693580c9 | 4973afd9699d27c05072c1580eb28c4905122a92 | /statistics_functions/statistics_api.py | 53ae7238607a05aa809305d4a0260d80ac142d6e | [] | no_license | SGjorge/TFG_MODELADO-DE-DATOS-Y-APLICACION-WEB-PARA-EL-ESTUDIO-DE-LA-ENFERMEDAD-ARTERIAL-PERIFERICA | d4443f3ad487244f285ee54293b238c7b19403d2 | 08e3338848947b93c288b23b7eab770f7e5331c1 | refs/heads/master | 2021-05-15T05:50:12.485358 | 2017-12-29T11:34:31 | 2017-12-29T11:34:31 | 115,715,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 421 | py | import numpy as np
import pandas as pd
#import sklearn as sk
def mean(array):
return np.mean(array)
def median(array):
return np.median(array)
def lowerQuartile(array):
dataframe = pd.DataFrame(array)
description = dataframe.describe()
#print (description.25)
print (description)
def topQuartile(array):
dataf... | [
"dtjorge_2@hotmail.com"
] | dtjorge_2@hotmail.com |
d9dcfe1635501330719684caf79db67c250583dc | 477c2342a296ef4388da8347dc4f897bb3455906 | /BaekJoon/10996.py | 8a917175297132ad1d3aa98d8054197c1602778b | [] | no_license | llhbum/Problem-Solving_Python | eb56e7bac44c1fd15cbfc9766839a81d5743b797 | 97c03ffb4a2f6301c7f7443c11741ac94c9173c6 | refs/heads/master | 2023-02-11T08:03:02.831518 | 2021-01-07T11:47:04 | 2021-01-07T11:47:04 | 294,284,438 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 442 | py | N = int(input())
array_2 = [[' ' for _ in range(N)] for _ in range(2)]
for i in range(N):
if i % 2 == 0 :
array_2[0][i] = "*"
elif i % 2 == 1:
array_2[1][i] = '*'
for i in range(N):
for i in range(2):
for j in range(N):
print(array_2[i][j] , end='')
print()
... | [
"llhbum@gmail.com"
] | llhbum@gmail.com |
f55d8b2b851ab050c47ad3346198c04b4e60571d | 5cc3334518c73a7de57f33a9b79ab4dd38693163 | /golden_creator.py | 57ad7041a243814f8bfa65bfebfa30f3e283b6e0 | [] | no_license | arashdn/sof-expert-finding-ml | 0affecc06db78e96a55c376f65f53aaf780d1e5f | de8f6b64bf666d7d4fa3a6abd24354d7d8000f6f | refs/heads/master | 2021-01-19T18:59:02.731049 | 2018-01-20T11:02:40 | 2018-01-20T11:02:40 | 88,392,949 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,511 | py | import mysql.connector
acceptance_ratio = 0.4
number_of_acc_answers = 10
cnx = mysql.connector.connect(user='root', password='root',
host='127.0.0.1',
database='sof')
cnx2 = mysql.connector.connect(user='root', password='root',
... | [
"arash@dargahi.org"
] | arash@dargahi.org |
ed1efc723a92cb5f2e7d59cf64eacf8afa578873 | 986fa7a2fb79d2450926db8e20e555e08bfd515f | /cross3d/softimage/_PySoftimage_setup/PySoftimage/__init__.py | c20db828e71d803b104a48e51e07377652dfc485 | [
"MIT"
] | permissive | josephkirk/cross3d | 3547ed384e7419574df31f9931b762f6dba2217b | 8cf02f9325177c46f52ea757861ca2c9015cb0d8 | refs/heads/master | 2021-01-11T23:09:35.658549 | 2018-08-18T09:48:18 | 2018-08-18T09:48:18 | 78,552,364 | 1 | 0 | null | 2017-01-10T16:33:53 | 2017-01-10T16:33:53 | null | UTF-8 | Python | false | false | 1,564 | py | ##
# \namespace PySoftimage
#
# \remarks Defines the PySoftimage interface for basic Qt interaction with softimage using the blurdev package
#
# \author beta@blur.com
# \author Blur Studio
# \date 12/03/08
#
import os.path
import win32com.client
# Import Application Constants
from win32com.client import constants... | [
"mikeh@blur.com"
] | mikeh@blur.com |
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