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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d64d55d1aeb625a0e43a8d555b74bf5a888f8a8f | 649bd422025e421d86025743eac324c9b882a2e8 | /exam/1_three-dimensional_atomic_system/dump/phasetrans/temp34_3000.py | e6089fe169558168aa44be1272a45d35b984b004 | [] | no_license | scheuclu/atom_class | 36ddee1f6a5995872e858add151c5942c109847c | 0c9a8c63d9b38898c1869fe8983126cef17662cd | refs/heads/master | 2021-01-21T10:52:28.448221 | 2017-03-07T23:04:41 | 2017-03-07T23:04:41 | 83,489,471 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 68,921 | py | temp34_3000.py | ITEM: TIMESTEP
3000
ITEM: NUMBER OF ATOMS
2048
ITEM: BOX BOUNDS pp pp pp
8.1228523350533521e-01 4.6387714766493971e+01
8.1228523350533521e-01 4.6387714766493971e+01
8.1228523350533521e-01 4.6387714766493971e+01
ITEM: ATOMS id type xs ys zs
8 1 0.123412 0.0633351 0.0657448
35 1 0.059133 0.121034 0.0648012
130 1 0.061705... |
8f0495ef90d35e77f563edb5936b98650ce3ebfb | 0c1840d2a54f757a9366cb8458e233b630f9907f | /graphGenerator.py | f3d73a94f5a17fb1cb94cc934879801ce0b4c4e8 | [] | no_license | ramosjanoah/kp-mspick | d49fe0a6132aec71b66d98766c2f44b4eff1625b | 83aa0140b52f283211bb31d530fdd56c3e3a7b85 | refs/heads/master | 2021-06-28T19:36:32.884827 | 2017-09-17T02:06:03 | 2017-09-17T02:06:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,800 | py | graphGenerator.py | import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
maxDegreeCentrality = 0
maxBetweenessCentrality = 0
maxClosenessCentrality = 0
minDegreeCentrality = 99999999999
minBetweenessCentrality = 99999999999
minClosenessCentrality = 99999999999
trx = pd.DataFrame()
graph = {}
iterated = {}
if not 'su... |
5064fa9bd42c9390794134315b4dc4155498bbed | e2ba5beda6f10b1f6529c1a3505da8bd18ef2941 | /waiter.py | 185f2e9c92d8dc01c6aa39c76f2dd988f47fd0ea | [] | no_license | tharunkumarreddy007/myprojects | 2307b79bc8ab31d5967e29c3aaf59430aad13e04 | 60ff00a15546b821d8e4388837ab1c555356ec30 | refs/heads/master | 2020-09-25T06:12:15.416092 | 2019-12-16T05:38:08 | 2019-12-16T05:38:08 | 225,935,444 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 142 | py | waiter.py | import boto3
ec2=boto3.rsource('ec2')
waiter=ec2.get_waiter('instance_stopped')
ec2.stop()
waiter.wait(Instanceids="instanceid") |
cb862ceff652660da57b9215546b4568328f6b88 | aa69d20bfc647a556e3c1cb7de08354bc6c68d47 | /LeetCode算法/884两句话中的不常见单词.py | 9d2c449d6b4beb7a0494b2674600f2ba920539cb | [] | no_license | GrandJune/Leetcode | 1797a1d5e70d58758aa6372a48d645cc3e3292de | 3bb0eb90adea0f4da0a621e89c3eac0dcc088aae | refs/heads/master | 2022-02-28T07:53:01.462519 | 2022-01-11T12:25:42 | 2022-01-11T12:25:42 | 158,706,003 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,122 | py | 884两句话中的不常见单词.py | # -*- coding: utf-8 -*-
# @Time : 2019/1/6 14:00
# @Author : Junee
# @FileName: 884两句话中的不常见单词.py
# @Software : PyCharm
# Observing PEP 8 coding style
A = "this apple is sweet"
B = "this apple is sour"
a = A.split(' ')
print(a)
class Solution(object):
def uncommonFromSentences(self, A, B):
... |
81e4d0c82dad9b0a0fb3278d5bcaa05b72c652fb | 663db56a354a13cca25dd840f38c9a1882e188ea | /light/autobahn/find-matches.py | afab6d74b4286d5c27c4c03c4c60dbfae5580511 | [] | no_license | acorg/light-matter | 70aad2942676678b9d704ec8f3b832c6e5ddd63a | 3e848dfa66f5fd07f1fb709abc935baff9f43d87 | refs/heads/master | 2022-01-25T13:18:06.178005 | 2019-06-23T21:49:55 | 2019-06-23T21:49:55 | 24,291,049 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 927 | py | find-matches.py | import asyncio
import argparse
from autobahn.asyncio.wamp import ApplicationRunner
from light.autobahn.component import Component
from light.wamp import addArgsToParser
class FindComponent(Component):
NAME = 'find'
@asyncio.coroutine
def onJoin(self, details):
what = self.config.extra['what']
... |
33ffc22cbdf9a5baec86684684af4cb93eb378e4 | 7535a564ab15d57e17cf3b3f95144a94a7c4e6aa | /字符串翻转.py | 447ae9dfac79088352ca4d2ec903cfd03abc73b0 | [] | no_license | Hongjiao1999/noobPython | da73ab49ab2a6efd3ba2cad82311e51cc0081a89 | e5b8e9c55be61704f15759da116d2ee51e3cb777 | refs/heads/master | 2021-03-08T03:14:05.840195 | 2020-03-10T15:03:22 | 2020-03-10T15:03:22 | 246,312,911 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 152 | py | 字符串翻转.py | # 方法1
str1 = "hello world"
print(str1[::-1])
# 方法2
from functools import reduce
str2 = "hello world"
print(reduce(lambda x, y: y + x, str2))
|
fd13a581c97df175a020ea0e6227672b92dca8f4 | 0939f62e653a81f1d6afd0c04b5fc916ccfe4dde | /content/posts/pytest-and-containers/mariadb_container_v1.py | 7f2fc240176b5da9d6406335d38f668d379afb7b | [] | no_license | larsks/blog.oddbit.com | cd4958dcfd017852f42d1f1b380e378c41787d50 | 7181a002fd2553bcec5cd42603349c778aa10528 | refs/heads/main | 2023-08-28T00:06:13.209069 | 2023-07-27T14:31:40 | 2023-07-27T14:34:47 | 22,327,735 | 2 | 0 | null | 2023-07-27T14:35:05 | 2014-07-28T02:00:57 | Python | UTF-8 | Python | false | false | 412 | py | mariadb_container_v1.py | import docker
import pytest
@pytest.fixture
def mariadb_container(
docker_client,
):
"""Create a MariaDB container"""
container = docker_client.containers.run(
"docker.io/mariadb:11",
detach=True,
environment={
"MARIADB_ROOT_PASSWORD": "secret",
"MYSQL_PWD":... |
726ebbea9cf748577807dcf61c8e0365dfaba70d | 988eeaf95d633ecebe28241a62a55a6d7731426e | /guessingGame.py | a31135ddc28461ecbce527cb5e2432a940a3d427 | [] | no_license | Yatharthg12/project-97 | 564a0f013c791007433907fe55753e76893bd9dd | bc24b7a14666a7444930a24be09c40ef3589eddc | refs/heads/main | 2023-08-12T07:01:00.079120 | 2021-10-07T13:26:30 | 2021-10-07T13:26:30 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 563 | py | guessingGame.py | import random
number = random.randint(1,9)
chances = 0
print("Guess a number between 1 and 9")
while chances < 5:
guess = int(input("Guess your number"))
print(guess)
if guess == number:
print("Congratulations, you won!!!")
break
if guess < number:
print("Your g... |
b442fe1b9b0e2db6e3780e3357d96962304b3fc4 | 40ec373dafac028472b803cef99eb294df2d9188 | /picasa/admin.py | 1f5ec702561d44bff0500e696871dfb85ee09621 | [] | no_license | vladmos/photoblog | c1c5700e44c043fea871496450a29faae9304684 | 805cf1aae864f765f74cb7feab6f4caec11b25d1 | refs/heads/master | 2020-04-25T12:44:46.099660 | 2012-09-25T20:01:33 | 2012-09-25T20:01:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 144 | py | admin.py | from django.contrib import admin
from models import PicasaAlbum, PicasaPhoto
admin.site.register(PicasaAlbum)
admin.site.register(PicasaPhoto)
|
14679ce4946cca0f04098e6a22e22a421617d331 | 7da96fe406d32f2cc4c0bbd9406639ad26bd2f94 | /tasks/generation/scoring.py | 0d0c9590cd4612186610000dd4174d5d67d8a546 | [] | no_license | marcopodda/mol | 60b69fb0edc52f25c2d80297d7a66e0578445617 | f2312362b82a6303594b149a53222e579c168781 | refs/heads/master | 2022-12-25T21:16:08.701319 | 2020-08-09T13:37:38 | 2020-08-09T13:37:38 | 285,219,074 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,322 | py | scoring.py | from pathlib import Path
from rdkit import Chem
from moses import get_all_metrics
from core.mols.split import join_fragments
from core.utils.vocab import Vocab
from core.utils.serialization import load_yaml, save_yaml
def convert_metrics_dict(metrics_dict):
for k in metrics_dict.keys():
metrics_dict[k] ... |
9eda73dd248fac6685c45c9631d56d4b29053c45 | f5bc995276c2df56f282f297811d53a86a509a2a | /setup.py | 0d66d7bcacf6608af1f95a3fcf974424ab7a0958 | [
"MIT"
] | permissive | powellb/seapy | 6accdba97ef8bb7e8d1f94f6bbfacfeab68381ca | b6f7c524c2cb12564ce70e89b5f2b5cfae8a3d32 | refs/heads/main | 2023-02-05T21:03:10.502447 | 2023-01-22T22:27:15 | 2023-01-22T22:27:15 | 37,238,172 | 30 | 22 | MIT | 2023-01-22T22:54:34 | 2015-06-11T03:54:10 | Python | UTF-8 | Python | false | false | 2,552 | py | setup.py | # -*- coding: utf-8 -*-
from __future__ import division, absolute_import, print_function
import os
import sys
import platform
from setuptools import find_packages
from numpy.distutils.core import setup
from numpy.distutils.misc_util import Configuration
# Only way to get --noopt defaulted into the build environment
#... |
09b5add388634d23d7bf1634c02ec88360068899 | 898a72a46342b17b09def7aaf3d6618d46f5faf5 | /projects/views.py | dd5592377af18cd3612a2fa270924c3836fc8740 | [] | no_license | avjasso/devsearch | a44eba72f08ad10fbedefcc7071d43e3fd2f91e6 | f2264513c4c440ad9671ae3d6ddc4ca23506360e | refs/heads/main | 2023-07-25T20:51:52.211144 | 2021-09-07T06:35:29 | 2021-09-07T06:35:29 | 403,481,681 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 343 | py | views.py | from django.shortcuts import render
from django.http import HttpResponse
# Create your views here.
def projects(request):
msg = "Hello, you are on the projects page"
return render(request, 'projects/projects.html', {'message': msg})
def project(request, pk):
return render(request, 'projects/single-proj... |
cedbd6a648081f6e3d2cbe230c53c481309baa5b | b671bf5fcbc8977e795fe7603b5146cdef6cbb86 | /seq2sql_prototype/seq2sql_prototype/__init__.py | 88783acb1caeac7acd19d97a53ab67ce6ec7430b | [
"MIT"
] | permissive | robertozerbini/NLP2SQL | a535f5e01b70889ef98968006e96f8e17e4bfa5f | 3a136f75621cc94076b981a50f18d5a459185271 | refs/heads/master | 2020-03-17T10:12:36.927529 | 2017-12-08T07:29:07 | 2017-12-08T07:29:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 82 | py | __init__.py | # coding: utf-8
"""
Init for Seq2Sql_prototype quepy.
"""
from primary import *
|
5cecf8424f64d01311c7bb3227a49a28cafb0f2d | 382df78024f588acea08039a0b0a9e24f297b6a3 | /python/pandas/example.py | 6eafc5e33c988cb6454b86b10d1977cf962027c7 | [] | no_license | id774/sandbox | c365e013654790bfa3cda137b0a64d009866d19b | aef67399893988628e0a18d53e71e2038992b158 | refs/heads/master | 2023-08-03T05:04:20.111543 | 2023-07-31T14:01:55 | 2023-07-31T14:01:55 | 863,038 | 4 | 1 | null | 2020-03-05T06:18:03 | 2010-08-26T01:05:11 | TeX | UTF-8 | Python | false | false | 3,255 | py | example.py | #!/usr/bin/env python
# - * - coding: utf-8 - * -
# http://d.hatena.ne.jp/dichika/20120819/1345385529
# http://pandas.pydata.org/pandas-docs/stable/
import pandas as pd
import matplotlib.pyplot as plt
from pandas import DataFrame
import xlrd # xlsを読み込む際に必要
import numpy as np
import sqlite3
# データフレームを作る
smp = {'stat... |
180754426180c9b9c8bb9bc30b0424dfec30446b | b785549e66a6c5a6e8b00218acc54ffd4efdb2f0 | /pythonCrashCourseWork/Chapter 9/11/users.py | af02e17dd2b23a7846393a35a19c4fcd83ad322e | [] | no_license | RyanMolyneux/Learning_Python | 970ae92abac65dc0881a7aaef1f74322c0c7fbdd | e9a613da2f9d24c0a0cd54d84542b9f7c7d5c13c | refs/heads/master | 2021-01-21T20:11:30.780622 | 2017-09-20T18:38:18 | 2017-09-20T18:38:18 | 92,203,140 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,440 | py | users.py | #Classes
class User():
"""Class for creating user accounts."""
#Constructor
def __init__(self,first_name,last_name,age,email,pet_name,password):
"""Constructor for user class."""
self.first_name = first_name
self.last_name = last_name
self.age = age
self.email = email
self.pet_name = pet_n... |
03dd5ef5492f6a5807b6266cc8ffd735378bc5db | a191d813c56e84f9db3cfc95757a2d0fb9e328dc | /generator_test.py | 3f4351c5fcb5131866692397cac1ef212bf95231 | [] | no_license | GP-IJS/IJS-Data-Fusion | c238064f3aed368bb0c6ca3699d8834d66a7dfff | 6068f7ec1e01d4cfd0d293a7fa9f484e897dd06b | refs/heads/master | 2020-03-28T12:14:08.533042 | 2018-09-11T08:07:29 | 2018-09-11T08:07:29 | 148,281,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,434 | py | generator_test.py | from crossovers import ArithmeticCrossover
from local_search import GradientDescentAdam, GradientDescent
from local_search_PNMTF_poly import S2NormRegularization
from matrix_utilities import construct_problem, get_NMTF_problem
import numpy as np
import tensorflow as tf
#np.random.seed(42)
#dims=[6,5,6]
#ks=[2,3,3]
#n... |
fb534b444dda36e1178a0ba119e4926dfdc488fd | 2bf429e92948fccff5d6b0e936e18ef93f284204 | /api/chalicelib/aws/__init__.py | cac009dda1a6123a82cc5cea820330354dedc85a | [
"MIT"
] | permissive | t-kigi/nuxt-chalice-aws-app-template | da0932368e76b829da971e7a1e1568f72ded0b96 | d413752004976911938d2fc26aa864ddae91a34f | refs/heads/main | 2023-06-03T11:28:47.842518 | 2021-06-15T08:55:58 | 2021-06-15T08:55:58 | 348,241,114 | 0 | 0 | MIT | 2021-06-15T08:55:58 | 2021-03-16T06:41:29 | Python | UTF-8 | Python | false | false | 533 | py | __init__.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
AWS リソース操作のためのモジュールです。
"""
import boto3
from typing import Optional
def create_session(profile: Optional[str] = None,
region: Optional[str] = None) -> boto3.session.Session:
""" boto3 用の session を生成します """
region = region or 'ap-northeast-1'
... |
bde50d617b6aae9770dd04d436c438387a8d8c22 | 8c24ae455147a1153c837def52ff60403b47c1e4 | /exercise5/legendre_poly_plot.py | 6ef5620b24c9c571ac3d06bf73e6043a7f216815 | [] | no_license | rahulporuri/num_methods_in_prog | ccc2fa51a6a6430d6a985624dd82d1d6cbe76581 | d4397324e401031c2b8718ca80e821cbe4dde8b2 | refs/heads/master | 2021-01-02T22:32:21.501310 | 2015-10-07T03:36:48 | 2015-10-07T03:36:48 | 29,176,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 665 | py | legendre_poly_plot.py | import matplotlib.pyplot as plt
from scipy.special import lpmv
import numpy as np
y1 = lpmv(0,0,np.linspace(-1,1,101))
y2 = lpmv(0,1,np.linspace(-1,1,101))
y3 = lpmv(0,2,np.linspace(-1,1,101))
y4 = lpmv(0,3,np.linspace(-1,1,101))
y5 = lpmv(0,4,np.linspace(-1,1,101))
y6 = lpmv(0,5,np.linspace(-1,1,101))
x = np.linspace... |
db5bec51b659bce4446730844cc2853cf08b2283 | 23e5b5e2d8e7bcfa8c7f59fa156ed3036a593f28 | /scripts/data/change_classes.py | 0bdcac8332726e90dcbd2e3e60f28169ccf4d3f9 | [
"MIT"
] | permissive | jfajkowski/stock-market-forecasting | c75f8eba64cf88a11793ed73c889a962cbf1852e | 6a0ae5a0cfe39263a0f448f062cd01283281a0d8 | refs/heads/master | 2021-10-10T20:00:33.735511 | 2019-01-16T12:57:58 | 2019-01-16T12:57:58 | 160,040,609 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,533 | py | change_classes.py | import matplotlib.pyplot as plt
import pandas as pd
ChangeColumn = 'Change'
ClassColumn = 'Class'
# %% Load data
djia = pd.read_csv("./data/raw/DJIA_table.csv", sep=',')
combined = pd.read_csv("./data/raw/Combined_News_DJIA.csv", sep=',')
# %% Calculate relative change in index value
diff = ((djia['Close'] - djia['O... |
73af2744b717eed463ee6385e357e6d4690fb168 | a36d478e881fef9ede03232cf3ef6e034e541ef2 | /llxPy/broswer.py | 3937d5b1b2cff0a0ad5387f6672e125257eb4b1e | [] | no_license | lilixiang5473/one | dbb922531e552ed2c8461758cb23bff88b351b53 | 4cec39888d9a9d1cfbbddd075815557342605a54 | refs/heads/master | 2023-02-13T18:21:01.475111 | 2021-01-04T02:20:56 | 2021-01-04T02:20:56 | 326,543,956 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,620 | py | broswer.py | # 操作浏览器
import time
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains # 鼠标事件
driver = webdriver.Chrome()
driver.get("https://www.fameex.com")
def eleDragFunc(driver,targetPath,startPath,endPath):
# driver.switch_to.frame("x-URS-iframe")
actions = ActionChains(dri... |
67aad3ae411369e9e2acb1eefde91fa9bada1698 | c120e76263d1429f2e884e3c37edeaac74d4be65 | /webscraping/Data.py | 1acf2e97e7d604fd9b9ecebc026585bbdcb620c7 | [] | no_license | ec505/EE461L-sp19-owl-team | bb79c16f425dd4c088f5968155baf8733076509f | a37b73d0790f45a11a4e151aa6633c9befbdb890 | refs/heads/master | 2023-01-11T03:27:08.484167 | 2019-07-02T18:58:40 | 2019-07-02T18:58:40 | 168,780,459 | 0 | 7 | null | 2022-12-26T20:51:01 | 2019-02-02T01:13:34 | Python | UTF-8 | Python | false | false | 4,342 | py | Data.py | from bs4 import BeautifulSoup
import requests
import time
import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
def txsmartscape():
url = "http://www.txsmartscape.com/plant-search/get-plant-data.php"
#http://www.txsmartscape.com/plant-search/plant-details.php?id=968
... |
93acbb29b09d6c5b0663c5d9b05d489f96c3c254 | a82f1f748462d019f4e708532cf75a9b18532912 | /test.py | 540fb79b65a15c07ff44143573b115f033982a32 | [
"MIT"
] | permissive | stefanxinhong/QDA | 70312a878c54faabe3afd1c81a89dbae9c2e35e0 | 6ad29ec9b6708153673b003a3705ed1659eefade | refs/heads/master | 2021-05-28T16:52:31.066380 | 2014-07-19T20:59:50 | 2014-07-19T20:59:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 497 | py | test.py | from __future__ import division
import sys
import copy
sys.dont_write_bytecode = True
"""
Testing QDA
"""
def test_QDA():
from QDA import QDA
x = [
[2.95, 6.63],
[2.53, 7.79],
[3.57, 5.65],
[3.16, 5.47],
[2.58, 4.46],
[2.16, 6.22],
[3.27, 3.52],
]
... |
5fc4000521749ceb502f722d083c45161746c16d | 27e06a771e16007738e64f9c01cf8a3a83e3c1ef | /DTIGCMC/main.py | 6480d1b9d39e28ca9dddbd5473e6300fb65489d3 | [] | no_license | myrabbitisverycute/GCMCDTI | 7ffd78cca360b1ba2a46ba90beaf12d589953b5a | 229814af44277da2a29c92e07b74f9ada69c3d59 | refs/heads/main | 2023-07-06T09:21:35.320849 | 2021-08-01T12:58:38 | 2021-08-01T12:58:38 | 391,625,956 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,332 | py | main.py | import os
import numpy as np
import pandas as pd
from random import sample
import matplotlib.pyplot as plt
from scipy import interp
import warnings
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import BatchSa... |
ffc3bc4ec1131fc7c60cbcb3b7405a21857f2ca8 | 29da9de71a8c0514e3bd7328635daf93f32921e5 | /app.py | a6177a1241c2f93484cc84b4a2e85df1c863b131 | [] | no_license | dorodnyyDmitry/pythonweb | 6834f1f4f2aa22747d96c28e7f4ce6309c7580fc | b2f51d3ff7731822665360631af552bce352d15d | refs/heads/main | 2023-02-17T22:52:18.991311 | 2021-01-20T14:24:43 | 2021-01-20T14:24:43 | 331,329,928 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,473 | py | app.py | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////contacts.db'
db = SQLAlchemy(app)
class Contact(db.Model):
id = db.Column(db.Integer, primary_key = True)
name = db.Column(db.String, nullabl... |
301f0dfb57aa81997a1923945e5f8f145cc56063 | d38a1348f6b3453c88429daf284a2c1ae9dd0ac7 | /ConfigSwitcher.py | 8e93ded80983de870caa670a5734c195b6fa1708 | [] | no_license | devlat/cswitcher | 02a5278835a3bc4227d85e7722b547ee6943a0c9 | ec51dcc827f65a41d1f528974c6802bc58e10b21 | refs/heads/master | 2021-07-12T00:01:16.854031 | 2017-10-16T05:46:17 | 2017-10-16T05:46:17 | 106,929,813 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,769 | py | ConfigSwitcher.py | #! -*- coding: utf-8 -*-
from __future__ import print_function
import fileinput, re
"""
Класс, для переключения конфигурации NGINX.
"""
class ConfigSwitcher():
__FRONTEND = 1
__BACKEND = 2
# Признак: открыт frontend или backend
__TYPE = None
def __init__(self, path):
try:
sel... |
391beb3fd12da799bc1808ca77693826cf9ba2c2 | f16ffa3745aceb198b8da9154abcffbad941f3af | /books/admin.py | d37eb7e161e8ac54f87e2b9c87dea30d278a8c12 | [] | no_license | GeonwooVincentKim/Django_Template_Test | a4efc4fe04f6e51f325d21818d5f7085e7792ec7 | d16a1e3c7e2b3faa3a0b6bf56b7319fa05951e7f | refs/heads/master | 2020-12-03T06:47:37.305412 | 2020-01-31T01:48:42 | 2020-01-31T01:48:42 | 231,231,540 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,952 | py | admin.py | from django.contrib import admin
from .models import Publisher, Author, Book
# Register your models here.
class AuthorAdmin(admin.ModelAdmin):
list_display = ('first_name', 'last_name', 'email')
search_fields = ('first_name', 'last_name')
class BookAdmin(admin.ModelAdmin):
list_display = ('title', 'publ... |
fd7345514d41ce7420c1cd4c38047bf103c00e4f | 78e5593c9f720942651b62975e7e15c66509a3ed | /alexBot/cogs/flight.py | 2f300cc99376b47a592ab8db6f01a861386cac1e | [
"MIT"
] | permissive | mralext20/alex-bot | f37f99cee382e1072d46ef911dd1103154f61946 | 0e0a4365afa29fc5a8f8db2b747751f547b5be73 | refs/heads/main | 2023-09-04T05:11:42.560977 | 2023-08-30T04:09:48 | 2023-08-30T04:09:48 | 101,717,627 | 8 | 10 | MIT | 2023-07-08T03:02:05 | 2017-08-29T04:06:28 | Python | UTF-8 | Python | false | false | 5,471 | py | flight.py | import logging
from datetime import datetime, timezone
import avwx
import discord
import geomag
import humanize
from avwx.exceptions import BadStation
from discord.ext import commands
from alexBot.tools import Cog
log = logging.getLogger(__name__)
class Flight(Cog):
wmm = geomag.WorldMagneticModel()
fligh... |
8a02b432d0566d60a64a1e5b0f5090b2a7d3e410 | 042f6a4c213197d9da029f3a27ec5094ababee33 | /Players/PBATPlayer.py | 58b9b997e94a73e959ad8983630ff2b8c2cb31b0 | [
"Apache-2.0"
] | permissive | jokvedaras/game-framework | 322890655de687b4681818c7b6d168a6ee6b5532 | 9ff60e15d1beff54f94e280501929664ce59afe7 | refs/heads/master | 2021-01-09T06:22:55.958669 | 2015-01-04T05:50:51 | 2015-01-04T05:50:51 | 26,843,658 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,439 | py | PBATPlayer.py | __authors__ = 'Pat and Tony'
import random
import Player
import Message
class PBATPlayer(Player.Player):
# self variables
player_list = []
rock_cut = .3
paper_cut = .6
total = 10
name = None
# finds a player and his information
def find_player(self, person):
found_player = Fa... |
8778a8865eac4da73f0c633bb26cb096a6b44811 | 7faf47aaacbc5cce01e6676c0a2136a8c6943b65 | /stock_screener/urls.py | d1603f1847ed4a55bf9d4b224bd860520ef1c6a1 | [] | no_license | webclinic017/Django_REST | 42b74b52570d3cee5412bd5c2f7247e8a7302eb5 | 3dcf7b72e38c4d53ab6df1849564e7dc43048882 | refs/heads/master | 2023-07-20T22:03:09.316145 | 2021-09-08T11:35:35 | 2021-09-08T11:35:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,602 | py | urls.py | """stock_screener 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... |
1f9632cf516915c131800fa5e07a0170f6aca224 | 03645491131b82b3dc178539ace283c55708b497 | /bank/management/commands/export_csv.py | 127ec0381dd0257fc8e6f4a271500335ea8306d9 | [] | no_license | qrames/video_bank | 1f029df1c1307e4721cc6d4d15dc1492a0991352 | bc208e57d69e8edc2f1d7de934a8a623c30a2db8 | refs/heads/master | 2020-04-04T19:58:49.084650 | 2018-11-15T14:43:47 | 2018-11-15T14:43:47 | 156,228,733 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,721 | py | export_csv.py | from django.core.management.base import BaseCommand
import csv
from django.utils import translation
from bank.models import Movie, MovieGenre
class Command(BaseCommand):
def handle(self, *args, **options):
translation.activate('fr')
with open('movies.csv', 'w') as mycsvfile:
writer ... |
aa9608a4c214c89323448b8a0283df5974e68c51 | 64088cb43ea95b6a809f7e80c9e31c7e13c146e8 | /test/test_compare.py | aa9560a937d012fea0a16701013247064d5bff0a | [
"MIT"
] | permissive | baokui/GPT2-Chinese | 840271617d4bd25517750762030357fe1301e11a | 9847c015b3817abf9ae19b0a7380814f25cad02e | refs/heads/master | 2020-12-12T03:32:54.841338 | 2020-08-06T03:39:26 | 2020-08-06T03:39:26 | 234,031,341 | 0 | 1 | null | 2020-01-15T08:13:03 | 2020-01-15T08:13:02 | null | UTF-8 | Python | false | false | 4,809 | py | test_compare.py | # -*- encoding: utf-8 -*-
import json
import gpt_gen
import gpt_gen_thread
import sys
from Config_compare import *
def read_excel(path_source1,index=0):
import xlrd
workbook = xlrd.open_workbook(path_source1) # 打开excel文件
sheets = workbook.sheets()
table = workbook.sheet_by_name(sheets[index].name) # 将... |
072acc4ef4b633dcd803d074965b5f2787112dfe | 48cedd8f2cc73f6001d45627903b3da9c990edbd | /scripts/fabfile_local.py | 7144df1ad233c68ebac6a16cd2522eb7ed9636a5 | [] | no_license | ssidhanta/WeaQL | b11d7b597abc816945381bc18af292471cb061fb | 60ada1a573be88297b8b20fc8a96584aa9140562 | refs/heads/master | 2021-09-05T19:28:31.242684 | 2018-01-30T15:00:04 | 2018-01-30T15:00:04 | 119,550,427 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 16,245 | py | fabfile_local.py | from fabric.api import env, local, lcd, roles, parallel, cd, put, get, execute, settings, abort, hide, task, sudo, run, warn_only
import time
import sys
import xml.etree.ElementTree as ET
from sets import Set
import logging
import shlex
import subprocess, signal
import os
from parser import parseConfigInput
#---------... |
9690a74307ad0237c610f412a1b59a1602879261 | f05c85d9e3fcab4606feccc404d4b77e8942489e | /tbdd_pdm_web/api_blueprints/users.py | 9a0aad605bae17654f9f75edfadb5a5d888c1e56 | [] | no_license | rickvavilin/tbdd_pdm | 1b17a291a9d9782cf959b6909d217aff61157703 | 82c6d7cb5064c17b02d5d3515dc6221928f11dd7 | refs/heads/master | 2020-03-27T01:30:55.145648 | 2018-09-28T05:24:47 | 2018-09-28T05:24:47 | 145,718,146 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,967 | py | users.py | from flask import Blueprint, request, Response, current_app, session, jsonify
import flask_sqlalchemy
from tbdd_pdm_core.api import exceptions, users, groups
__author__ = 'Aleksandr Vavilin'
db = flask_sqlalchemy.SQLAlchemy(current_app)
node = Blueprint('users', __name__)
@node.route('', methods=['GET', 'POST'])
de... |
94593a80b4c5b7a37b59b4227f9c685547aff1e2 | f72a7d2a7431b7f771db4e0a42711d3fdcc02a49 | /006-CPF_CEP/cadastro_CPF_Censo.py | e775f00582374865225cd67fd2dfd2788d46adc3 | [] | no_license | diegoPaladino/BOT_CENSO_2021 | 60087dc30e42351d62105e0a88b5f58d9410c6a4 | 84e69ea1f8f36907f483ce437025909f46626f03 | refs/heads/master | 2023-07-10T04:50:43.718171 | 2021-08-20T22:44:56 | 2021-08-20T22:44:56 | 380,965,998 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,403 | py | cadastro_CPF_Censo.py | # cadastro de CPF e CEP do aluno no Censo 2021
import pyautogui as p
import pyperclip as pp
import tkinter as tk
import time as t
# declarations
def alert():
p.alert('Começar CPF?')
def select_opera():
p.moveTo(x=225, y=-22,duration=0.2)
p.click()
t.sleep(0.2)
def copy_CPF_box():
p.moveT... |
cff33aada556b6d330aa8039fb691824556fcf9e | 635fd0858ffbfed22bb8646abc3db8e90d445326 | /scrapy_framework/MahmudAhsan/webscrap/wlog.py | 8e6ba60f11f8f469fde48561600d729588a383ee | [
"MIT"
] | permissive | ayman-tareq/webscraping | 3c698a6460886c38f5538a110659445b24d72fca | 35b3fe3d869c78856667cdb537a5f067fdc4c9ac | refs/heads/main | 2023-05-04T13:55:34.931810 | 2021-05-23T21:11:19 | 2021-05-23T21:11:19 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 168 | py | wlog.py | import logging
def set_custom_log_info(filename):
logging.basicConfig(filename=filename,level=logging.INFO)
def report(e:Exception):
logging.exception(str(e)) |
4bec0d2b4a702f32cba68b6ed540f6aff262ac2b | e92ccd2db621d70c75eb412e49789494a2620967 | /algo/binarysearch.py | 85423d2ecadaaa02ca74436193c55a8ba0cf9f7a | [] | no_license | hgkang9/TIL | fb25e610c8d869014f21c370f2fc1089a9d157da | 72476b974ab3283d19eec8359cb2efdf8bfd4d59 | refs/heads/master | 2020-04-14T10:17:25.116015 | 2019-05-10T08:40:37 | 2019-05-10T08:40:37 | 163,782,787 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 482 | py | binarysearch.py | arr = [2,3,4,1,5,7,6]
arr.sort()
search = 4
n = len(arr)
start = 0
end = n-1
mid = (start + end) // 2
for i in range(n):
if search < arr[mid]:
end = mid-1
mid = (start + end) // 2
if end == 0:
print("없음")
break
elif search == arr[mid]:
print("성공")
... |
155eee7f958fb37850598a0761dba1fb96190c02 | 13c7f4c9230a0ee1c7ef6944843ec1fe01e0f81e | /isolated_nodes_check.py | e41e044d81e9b5bf795b151ed9608dc20729a1b5 | [] | no_license | ks8/glassML | 1284a35ea854d3da235784859e2d6e30376a9519 | a52e43275d6d392e199b973a2af324db766a539e | refs/heads/master | 2020-04-16T05:23:13.285750 | 2019-07-11T18:43:48 | 2019-07-11T18:43:48 | 165,303,078 | 4 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,544 | py | isolated_nodes_check.py | # Function for checking if there are any isolated nodes in a dataset
# Import modules
import argparse
from argparse import Namespace
from pprint import pformat
from compose_PyTorch import Compose
from distance_PyTorch import Distance
from GlassDataset_PyTorch import GlassDataset
from nngraph_PyTorch import NN... |
3cec053edd7c5ef0d75b28dea463285b2d0445d7 | 8b6bcf428973101ab29a2c70805847b0d5b9768c | /gui_wizard_label.py | 9ddfe85abaeaa9cb2f182c1e30c5ebe1d4679c95 | [
"MIT"
] | permissive | Yepoleb/rct3installer | 1be133584b6282c09000186d00c6b00adc07f823 | 099919f5dd677366988ef69a0e2ca58fc9432838 | refs/heads/master | 2021-06-30T08:49:44.258599 | 2017-09-18T15:07:17 | 2017-09-18T15:07:17 | 103,954,550 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,142 | py | gui_wizard_label.py | import sys
from PyQt5.QtWidgets import (QApplication, QWizard, QWizardPage, QLabel,
QVBoxLayout, QHBoxLayout, QLineEdit, QPushButton, QFileDialog, QCheckBox,
QProgressBar)
from PyQt5.QtCore import Qt
PROGRAM_NAME = "RollerCoaster Tycoon 3"
PAGE_INTRO = 0
PAGE_INSTALLER = 1
PAGE_PREFIX_EXISTS = 2
PAGE_CREATIN... |
d8aa5348ef7a46de98ca5ec17ab6b12ebeb30b1a | f2a86122a24f9ee7ff4ed76ac100fcc91c0cb0cf | /my_lab3.py | 91397bf6aa2be7e24a156e97b520e5f45464ee30 | [] | no_license | fredlind/medicalCNN | 85311a097ac577303c975feb663ab39108fc5346 | 61511eea122789608d27092c2c9d7ee5a6c9e5c8 | refs/heads/main | 2023-08-04T22:43:03.377107 | 2021-09-22T10:12:42 | 2021-09-22T10:12:42 | 408,796,532 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 21,444 | py | my_lab3.py | #!/usr/bin/env python
# coding: utf-8
# # Assingment 3 - Generative Models
# ### Course: Convolutional Neural Networks with Applications in Medical Image Analysis
#
# Office hours: Minh - Thursdays (odd weeks) 13.15--16.00, Attila - Wednesdays (even weeks) 08.15--12.00, Tommy - Monday May 31, 13.15-15.00
#
# Hello a... |
f8798c0abfca5b54fcd16fc2b7322f5d8d81c30a | 4151705d873af486f359ebc60427c4e439044510 | /old_files_not_used/legacy/scripts/v-2.1/merge_first_s4.py | b02b7c83a11e7afb6f1964921198dff425ca1349 | [] | no_license | GW-HIVE/bioxpress | 375e74221ff8841049530cf5c60eb440436d8d1f | 6ca86916958c08b88985b745a3f795c0156d85e3 | refs/heads/main | 2023-08-12T08:12:53.736967 | 2021-10-08T13:53:26 | 2021-10-08T13:53:26 | 392,076,238 | 1 | 1 | null | 2021-10-08T13:53:27 | 2021-08-02T19:51:53 | Python | UTF-8 | Python | false | false | 675 | py | merge_first_s4.py | res=open('/data/knowledgebases/bioxpress/BioXpress_interface_tumor_Hiseq_final.txt','w')
#res=open('/data/knowledgebases/bioxpress/BioXpress_interface_overall_final.txt','w')
#data1=open('/data/knowledgebases/bioxpress/BioXpress_interface_overall_v2.0.txt')
#data1=open('/data/knowledgebases/bioxpress/BioXpress_inter... |
8b9a285f291aab97e269add0c2479c28539e3b0f | 5e48fa0a32f59f465ed0f6bee7d35db3e2c21197 | /python-005.py | 299dd75a094f343f36c53438d9bd864a39a89528 | [] | no_license | lindo-zy/python-100 | 11ce0cc21ece107317643cfd402df84e9b0f3b8e | 0fd7f9db03102577789e73e63a6b908814d11010 | refs/heads/master | 2021-07-13T17:04:42.910083 | 2017-10-19T09:08:51 | 2017-10-19T09:08:51 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 443 | py | python-005.py | #!/usr/bin/python3
# -*- coding:utf-8 -*-
'''
题目：输入三个整数x,y,z，请把这三个数由小到大输出。
程序分析：我们想办法把最小的数放到x上，先将x与y进行比较，
如果x>y则将x与y的值进行交换，然后再用x与z进行比较，
如果x>z则将x与z的值进行交换，这样能使x最小。
'''
L1 = input('请输入三个整数（空格分隔）：')
L2 = L1.split()
L2.sort()
print(L2)
|
b4066e01a110c4567d9619a58f42c7b01d8d6e2e | cc5e1a78d2e33b847eaa9f352e9b3d315e8648a4 | /iris/7.py | 03d9c535783b9ae6d765baa334b1a0d03594531f | [
"MIT"
] | permissive | PandaWhoCodes/my_ml_journey | f1d98bf37d008fbb7af19eef8006e7fb0fc2b6cc | 5a82e4340cb33d137495638cf134efce65ac7fac | refs/heads/master | 2020-03-17T11:59:58.278277 | 2018-11-06T10:02:33 | 2018-11-06T10:02:33 | 133,570,842 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 22,034 | py | 7.py | import matplotlib.pyplot as plt
import numpy
import numpy as np
import math
"""-------------------------------------------------
Name : calCovariance()
Input = 4*n matrix, mean of Iris data
Output = 4*4 covariance matrix
Description : calculate covariance for each component
----------------------------------------... |
9181de12fc8b672997a3017512cd06b01d328ecd | 2b86301d5ad3fecaa5a300cabfe6b4dfc82b78ed | /venv/Lib/site-packages/jupyter_client/tests/test_kernelmanager.py | 69a728db714458e3769b5017ef3cf0c4782fc0d4 | [
"MIT"
] | permissive | sserrot/champion_relationships | 72823bbe73e15973007e032470d7efdf72af3be0 | 91315d6b7f6e7e678d9f8083b4b3e63574e97d2b | refs/heads/master | 2022-12-21T05:15:36.780768 | 2021-12-05T15:19:09 | 2021-12-05T15:19:09 | 71,414,425 | 1 | 2 | MIT | 2022-12-18T07:42:59 | 2016-10-20T01:35:56 | Python | UTF-8 | Python | false | false | 13,534 | py | test_kernelmanager.py | """Tests for the KernelManager"""
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import asyncio
import json
import os
import signal
import sys
import time
import threading
import multiprocessing as mp
import pytest
from async_generator import async_generator, yi... |
31462c1c2a10caef9d7c180fcfb00f4ffb1df7ba | 2ba2fb402459933a20fdc02c34578e8720d5d5e2 | /Python/valid_parantheses.py | e3edcee52c868c2126c8b6c1a27013dec349ecfb | [] | no_license | aaron-iglesias/Leetcode | ff38f8cd2e8d2730ecc453582aa7ca0967079885 | fd9703f15bbd11df5e703c7590d4254714bdde5b | refs/heads/master | 2021-06-13T05:40:18.323847 | 2017-01-25T20:09:48 | 2017-01-25T20:09:48 | 79,502,360 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 594 | py | valid_parantheses.py | # Given a string containing just the characters '(', ')', '{', '}', '[' and ']', determine if the input string is valid.
# The brackets must close in the correct order, "()" and "()[]{}" are all valid but "(]" and "([)]" are not.
class Solution(object):
def isValid(self, s):
st = []
for c in s:
... |
52a32e67e6e76fd295b8afb9f30af5be5746b846 | ca3d6e6683f4736792fc93352424c6e6d216ab4d | /chapter3_project/app.py | 1e92aa00548a0837d96c803319107d1bc7a8a6ab | [
"MIT"
] | permissive | msg4rajesh/Building-Data-Science-Applications-with-FastAPI | 11ac071583002b15bc955fc3bc72ab86d2800222 | 99b472d8295a57c5a74a63d8184ac053dc4012f2 | refs/heads/main | 2023-07-16T09:48:48.536002 | 2021-08-26T05:02:39 | 2021-08-26T05:02:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 311 | py | app.py | from fastapi import FastAPI
from chapter3_project.routers.posts import router as posts_router
from chapter3_project.routers.users import router as users_router
app = FastAPI()
app.include_router(posts_router, prefix="/posts", tags=["posts"])
app.include_router(users_router, prefix="/users", tags=["users"])
|
80460fded8897a2c1bcf73f435ae38636085760c | 552e4f19e6558aa73428333d98d47a2baa0b9e03 | /tensorflow/modeling.py | 83cf591be23b5f6190e7ad41416050244345d9bf | [
"MIT"
] | permissive | yyht/Funnel_Transformer | 6c17ad12bb6ab5dcbd3f6161b830237dc61add26 | 4b35a794d5e122a8054471863a52d4eac1c39dcd | refs/heads/master | 2022-12-08T08:47:59.692029 | 2020-08-24T07:35:04 | 2020-08-24T07:35:04 | 279,195,871 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 48,797 | py | modeling.py | # Lint as: python3
"""Funnel-Transformer Model."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import os
from absl import flags
import tensorflow.compat.v1 as tf
import ops
##### Model configuration
flags.DEFINE_string("overwrite_keys", d... |
e388690b4e65ce5ae19984337fd2eb66786938e6 | 4571c822ae4bd219c34e41e332bad6e948e26488 | /Divide_and_Conquer.py | 24d1e76ce98205c8f553524e3a47ad309ca2088f | [] | no_license | PeterRissberger/CS325 | aadcdb49666693b0fc5a10582ea48b274b05cded | b563c3846a48f8e03c0ed0ba1f13f1c29f7875ba | refs/heads/master | 2021-01-17T12:01:29.275666 | 2015-04-27T06:01:14 | 2015-04-27T06:01:14 | 34,291,485 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,359 | py | Divide_and_Conquer.py | import sys
from functools import wraps
sys.setrecursionlimit(4000)
#Scans 'MSS_Problems.txt' and returns an array of arrays contained in the file
def scanInput():
infile = open('MSS_Problems.txt', 'r')
outfile = open('MSS_Results.txt', 'w')
string = infile.read()
string = string.translate(None, '[... |
d49ae3796772983863409c82777d75c76e464b7d | f64fa94d8a80459870c582ea6267cee300c18328 | /Lab7/cw11.py | f5b97805d93c4843966ca24231fb52b4633fc890 | [] | no_license | Bijuu3010/Wd_2021 | 8e9551f676494dfc148764d55f663566bacc1efc | 312510ed19b84a1caed561ec8dabf4201d4b54b8 | refs/heads/main | 2023-05-08T13:44:33.924946 | 2021-05-26T13:12:35 | 2021-05-26T13:12:35 | 346,389,818 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 273 | py | cw11.py | import numpy as np
macierz = np.arange(0, 12)
print(macierz)
macierz_1 = macierz.reshape(3, 4)
print(macierz_1.ravel())
macierz_2 = macierz.reshape(4, 3)
print(macierz_2.ravel())
macierz_3 = macierz.reshape(2, 6)
print(macierz_2.ravel())
# Są takie same |
1444021cd6f194ec9576b665489f2e40dd3c7d82 | d4e7110cce6f9a470fcca87ec83b1148b26b9b53 | /Extract_data_SAT.py | 4980b4256924693c0ee75155c3941eea13d4886b | [] | no_license | Brice313/Map_output_process | f4297aa44dd97246b4293c4da1faee8f2b901228 | 0d4d51fddaa160c1457fa5483a1c7830c4ab833c | refs/heads/master | 2021-01-22T03:30:09.710915 | 2017-06-02T10:26:34 | 2017-06-02T10:26:34 | 92,382,419 | 0 | 0 | null | 2017-06-01T09:27:16 | 2017-05-25T08:32:06 | Python | UTF-8 | Python | false | false | 4,013 | py | Extract_data_SAT.py |
# coding: utf-8
# In[63]:
from __future__ import print_function
import os
# ### Code for SATDB
# Link:
# FF speed=5
# V/C=12
# Delay=14
# Cruise Time=15
# Tot Time=17
# Actual Flow=24
# Distance=6
#
# Node:
# V/C=2
# Delay Time=3
# Arrive Flow=5
#
# In[1]:
def... |
98449694962d8be9a8edb0b1b829078a15f93111 | 8951e6277d6a8f64247e366257feca9b60767bb4 | /Chapter4/cube.py | 1440d63a894bc28fdc0ba7b5409a3a08eb8dfc11 | [] | no_license | starlis13/CIT228 | 264fe6b224cec6dbaf9565b4bd91ca0578c138ca | 1a991f8ad999f3c1734c039ec52eac248536bf16 | refs/heads/master | 2023-03-26T21:20:24.413844 | 2021-03-22T02:47:39 | 2021-03-22T02:47:39 | 328,866,916 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 319 | py | cube.py | # Exercise 4-8
print("I can't believe I'm making cubes. Borg would be pleased.")
cubes = []
for number in range(1,11):
print(number * number * number)
# Exercise 4-9
print('')
print("Now do it as a comprehension!")
cubes = [value**3 for value in range(1,11)]
for cube in cubes:
print(cube)
|
86be1437409bf44a0e2eb5d9a54e1fcfdf8255fd | 334a42cef44d31c8efce4d188f3788da40f44b31 | /education_platform/apps/pages/forms.py | 6fb3f62209208024f152b082d275e9f53bed6012 | [
"MIT"
] | permissive | elifnurkarakoc/django-education-platform | 0e32f1bd5c91517fb0cbf3609bf970cf69f9da50 | a8430e436c0bc7ac95be51a0b54e7c726576e38c | refs/heads/main | 2023-06-15T11:00:11.340334 | 2021-07-08T15:21:07 | 2021-07-08T15:21:07 | 383,474,676 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 926 | py | forms.py | from django import forms
from django.forms import fields
from .models import Contact
class ContactForm(forms.ModelForm):
first_name=forms.CharField(widget=forms.TextInput(attrs={
'class':"form-control" ,
'placeholder':"Your firstname"
}))
last_name=forms.CharField(widget=forms.TextInput(att... |
ff344443a74772cda4f39a54837d113f4f5c8dc3 | 6c7e2d64bdbb76014f58ab1a6d155e2575477c0f | /admin.py | f99183d93f20b951ffe40c28029e0b34cd3cb8e5 | [] | no_license | creepykedi/callcenter | 137b07d8b733247e880bee26f8c1565b5b749eb5 | 57257a402e05eac2027c4b1a06a4ecfa7e641aee | refs/heads/master | 2023-07-21T07:57:49.291352 | 2021-08-30T20:44:24 | 2021-08-30T20:44:24 | 316,991,354 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 230 | py | admin.py | from django.contrib import admin
from .models import Table, Main, Sources, Contractor
# Register your models here.
admin.site.register(Main)
admin.site.register(Table)
admin.site.register(Sources)
admin.site.register(Contractor)
|
e6e2f9659ed563e6332f2bd40da7750b19e866c8 | 7b7564c2c776cd7f722ca55722df28d79948d502 | /Python/1_Stepik/3.2.7/step.py | bb13c5c1829be8d75266fbafd73198b09e15fea9 | [] | no_license | gedfalk/sources_and_stuff | 27cddef098f902b4d4fa0e7ddb274257c51f8efa | 7dd02a972a536df7852dc2756dcd7cddc396a7c9 | refs/heads/master | 2023-09-04T21:59:05.562588 | 2021-11-22T15:45:47 | 2021-11-22T15:45:47 | 423,908,274 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 952 | py | step.py | # Регулярные выражения в Python
'''
Все упражнения от 3.2.7 до 3.2.15
'''
import sys
import re
'''
pattern = 'cat'
for line in sys.stdin:
line = line.rstrip()
if len(re.findall(pattern, line)) > 1:
print(line)
'''
'''
pattern = r'\bcat\b'
pattern = r'z...z'
pattern = r'\\'
pattern = r'\b(\w+)\1... |
dbe5a99e58cc1ad0ff5dacb2be2ed8ccf0a911c5 | e76bf266147b4b77f40425c5c8730dd55a4108fd | /videoentryphone-raspberrypi/KeypadManager.py | 6f365e86405799b3394dc6f82f09b04cb6bf73ad | [] | no_license | BarKar96/IntelligentBiometricEntryphone | d8c28ec725565b6d8d48112b2b9388b7bc1c7fd8 | 5b5ac312f2c51b3be383a0092512b4460d23c28a | refs/heads/master | 2020-04-29T03:27:58.521601 | 2019-03-15T11:53:58 | 2019-03-15T11:53:58 | 175,810,719 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,263 | py | KeypadManager.py | import RPi.GPIO as GPIO
import time
import queue
import SoundPlayer
from threading import Thread
global q
global keypadActivated
q = queue.Queue()
keypadActivated = False
GPIO.setmode(GPIO.BOARD)
GPIO.setwarnings(False)
MATRIX = [ [1,2,3,'A'],
[4,5,6,'B'],
[7,8,9,'C'],
['*',0,'#','D']... |
ce5fb6424a54baa56d2a2546b901faeac33bba0c | 9dba277eeb0d5e9d2ac75e2e17ab5b5eda100612 | /19100105/quan0523/d12_training2.py | 6a95c0af75a5b2cc39fcc9932cecdb789af03de0 | [] | no_license | shen-huang/selfteaching-python-camp | e8410bfc06eca24ee2866c5d890fd063e9d4be89 | 459f90c9f09bd3a3df9e776fc64dfd64ac65f976 | refs/heads/master | 2022-05-02T05:39:08.932008 | 2022-03-17T07:56:30 | 2022-03-17T07:56:30 | 201,287,222 | 9 | 6 | null | 2019-08-08T15:34:26 | 2019-08-08T15:34:25 | null | UTF-8 | Python | false | false | 802 | py | d12_training2.py | import requests
from pyquery import PyQuery
import mymodule.stats_word
from wxpy import *
bot = Bot()
my_friend = bot.friends().search('权')[0] # 找到好友
my_friend.send('send me something') # 发送消息给这个好友
@bot.register(my_friend)
def reply_my_friend(msg):
print(msg)
if msg.type =='Sharing': # 如果是公众号内容进行统计词... |
ae2830c3741bbfe2894e81f2bd05d1412f9f0ff3 | e378c8a55023c0cbbd9d3a6817b174af058c49df | /models/base_model.py | 2b663e8a2db8a4c189e0e301f9b437a1bf246736 | [
"BSD-3-Clause"
] | permissive | sidney001/dml_cross_entropy | 0e9496bc160115bd687784264952a19b603df4b6 | f0dbc12715e205c1fe5e0105126b51d27ed7525e | refs/heads/master | 2023-02-02T07:55:00.204623 | 2020-12-18T22:36:43 | 2020-12-18T22:36:43 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,600 | py | base_model.py | from typing import Tuple, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
class BaseModel(nn.Module):
def __init__(self,
num_classes: int,
num_features: int,
dropout: float = 0.,
detach: bool = False,
... |
b23ce3a136b6d675701a0aa42bcfa835b4ac6583 | 8dbe2b3d108c084b0409be8877b1c1f317f8a4d6 | /sketch.py | bdc6b2a0bc77c5364974a722d1e12e6728001587 | [
"MIT"
] | permissive | Janggwan/sketch | 7a2c8d92cc94e76ce564fa7bd5a8d2f641507248 | b3c0477178bc3cbffef64ce404764b981f297521 | refs/heads/master | 2021-01-18T10:01:01.154787 | 2016-01-28T14:50:21 | 2016-01-28T14:50:21 | 50,404,717 | 0 | 0 | null | 2016-01-26T05:05:10 | 2016-01-26T05:05:10 | null | UTF-8 | Python | false | false | 25,049 | py | sketch.py | #!/usr/bin/env python
from __future__ import division, print_function
import logging
import os
FORMAT = '[%(asctime)s] %(name)-15s %(message)s'
DATEFMT = "%H:%M:%S"
logging.basicConfig(format=FORMAT, datefmt=DATEFMT, level=logging.INFO)
import sys
import theano
# Automatically detect we are debugging and turn on m... |
f4dbd149143e69f6ff6b161de97045607e36a9ea | 287338c043ed86f1218d8a361bdd159f2c309f11 | /tests/modules/import_alias.py | 91f813a08112a280057dd07cec2c4fd2cc5a5893 | [
"LicenseRef-scancode-proprietary-license",
"MIT"
] | permissive | dusty-phillips/pyjaco | cb90f7b3f5b1bce793b71ef26907a0c98ac0f260 | 066895ae38d1828498e529c1875cb88df6cbc54d | refs/heads/devel | 2021-05-28T18:16:31.031882 | 2012-03-18T21:15:10 | 2012-03-18T21:35:02 | 3,058,134 | 3 | 0 | MIT | 2020-01-01T09:19:12 | 2011-12-27T18:18:31 | Python | UTF-8 | Python | false | false | 167 | py | import_alias.py |
from imported.alias_fns import foo as bar
from imported.alias_classes import spam as eggs
# call imported function
bar()
# call imported class
e = eggs()
e.msg()
|
3c25de755216e360c6f0d46edd9e802ac7765917 | 9743d5fd24822f79c156ad112229e25adb9ed6f6 | /xai/brain/wordbase/nouns/_playhouses.py | 1700a9c6971fbf4ffaada81d136e2bb9da7ad8b6 | [
"MIT"
] | permissive | cash2one/xai | de7adad1758f50dd6786bf0111e71a903f039b64 | e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6 | refs/heads/master | 2021-01-19T12:33:54.964379 | 2017-01-28T02:00:50 | 2017-01-28T02:00:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 259 | py | _playhouses.py |
from xai.brain.wordbase.nouns._playhouse import _PLAYHOUSE
#calss header
class _PLAYHOUSES(_PLAYHOUSE, ):
def __init__(self,):
_PLAYHOUSE.__init__(self)
self.name = "PLAYHOUSES"
self.specie = 'nouns'
self.basic = "playhouse"
self.jsondata = {}
|
afe49cedef5747508f5ab040ca6a6c3ee7632b3a | 42039ed90ae26cb431b9b0e1db19a93fc2bf01b4 | /python_client/src/wellcome_storage_service/downloader.py | 48feda5eced7a70c65b017d5b0abc1a80da13c0a | [
"MIT"
] | permissive | h4l/storage-service | 7eab35d58e72659669a15ba25d43089757513222 | 05524e25dfc55f4fe6e2101e1be2850bec691564 | refs/heads/main | 2023-06-21T03:10:53.262780 | 2021-07-19T16:08:28 | 2021-07-19T16:08:28 | 387,693,877 | 0 | 0 | MIT | 2021-07-20T06:23:35 | 2021-07-20T06:23:34 | null | UTF-8 | Python | false | false | 3,751 | py | downloader.py | # -*- encoding: utf-8
import abc
import os
import shutil
import tarfile
import tempfile
try:
from collections.abc import ABC
except ImportError: # Python 2
from abc import ABCMeta as ABC
from ._utils import mkdir_p
def _choose_provider(location):
if location["provider"]["id"] == "amazon-s3":
r... |
417d1e2cf0fb3deaf8be8734a98ff9e3d0867c52 | 3dd61a495905e534af8bf5cbc31401a06586b231 | /Views/AddBookView.py | 5959b8b5fc845d1b77231824d2a8b48b3f5bf18d | [] | no_license | kentoroceo/Library-Inventory-System | e6e301c4d239f38ce89e1b927f6599182462f602 | 395908db8f745878b3f68579fe1bdc4330589122 | refs/heads/master | 2023-02-23T16:34:42.731801 | 2021-01-28T21:21:29 | 2021-01-28T21:21:29 | 306,031,837 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,921 | py | AddBookView.py | from PyQt5.QtWidgets import QWidget, QSizePolicy, QMessageBox
from PyQt5.QtCore import pyqtSlot
from Views.AddBookViewUI import Ui_AddBook
from PyQt5 import QtCore, QtGui, QtWidgets
#AddBookView class communicates with UI that connects to a controller to perform backend operations
class AddBookView(QWidget):
def ... |
99670ef9c551894d909dd63f6d76ececfe661463 | cc0ade18c983411aa49cd68f63ddf633557ff270 | /Models.py | 4e9297c8a0820a4448dc88c611e60609d8f4efab | [] | no_license | luishoracio/Hidromedidores | bd431721b821ab1d3652bf6aa832fb513fe1789c | 78cec0e929b46b15e03ef322be230343e684368a | refs/heads/master | 2020-06-03T05:35:02.653069 | 2015-06-25T23:50:16 | 2015-06-25T23:50:16 | 38,079,874 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 686 | py | Models.py | __author__ = 'luishoracio'
class Cola:
id_test = None
id_origen = None
version = None
mensaje = None
def __init__(self, id_test = None, id_origen = None, version_msg = None, mensaje = None):
self.id_test = id_test
self.id_origen = id_origen
self.version = version_msg
... |
4d9f133beaa30cc7990cba2202b01d531eaff004 | 6b9d5ba937920147633b123c48539cf19cfd0635 | /app.py | 1080b2eda535cf5e0e9cbc6a682cc4fda5ec33e1 | [
"MIT"
] | permissive | smcl/RPiEOS | dd4b9b02859659b2991d8209add73a2b6849025a | 4be7fc08303b6d1818ef09ed4611c74cde096397 | refs/heads/master | 2021-01-10T03:24:41.266928 | 2016-01-12T00:39:23 | 2016-01-12T00:39:23 | 49,267,190 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,110 | py | app.py | import cherrypy
from cherrypy.lib import static
from cherrypy.lib.static import serve_file
from datetime import datetime
import json
import os
import sys
import sqlite3
from mako.template import Template
from mako.lookup import TemplateLookup
from threading import Thread
from threading import Event
#import RPi.GPIO as... |
8b5b558a6cf5b2d5ce4c14001c9dd75074a11a7a | a4ff406a77830753286673ae22b4490a649320fb | /baiduimage/test.py | b5b762dabc282b23ab88781ad9d018858bf486c2 | [] | no_license | lilipopololo/pycrawl | 9a32f13dbb46fffa220686bdc81329675a9b5d52 | d528df602ed228955f14560dc89907074c72ee72 | refs/heads/master | 2020-03-14T02:32:01.358113 | 2018-04-28T11:04:53 | 2018-04-28T11:04:53 | 131,400,779 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,643 | py | test.py | # -*- coding: utf-8 -*-
'''
目标：百度识图 http://image.baidu.com
时间：3-30 15：10
作者：yjw
V：1.0
'''
import requests
import json
import re
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.181 Safari/537.36"
}
url = "http://image.baidu.com/pcdutu/a_... |
265caab0d6b4dd300d262a04037cbf0786ddbf26 | 5f3575d3b5e733767f960f03783b4fa8fbd44a58 | /naive_convnet.py | d629cd40addd3d836b1759cad6eff20131dd1950 | [] | no_license | MrXu/dogs_vs_cat | 7900c35ce13cef402db9e08f9a8405aa929e4432 | 48c483aeb456fc5b62254dc2c4f8e39ec47b99ba | refs/heads/master | 2021-01-12T17:46:49.853538 | 2016-10-24T03:20:57 | 2016-10-24T03:20:57 | 71,644,692 | 1 | 1 | null | null | null | null | UTF-8 | Python | false | false | 3,010 | py | naive_convnet.py | from keras.models import Sequential
from keras.layers import Convolution2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
import tensorflow as tf
import os
from keras.utils.visualize_util import pl... |
3377cfa47b6bce0ad6ce63792d4b0bd1c1cf6564 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02233/s597002071.py | 7d97231bd12270c44a5f424c15b7e6cc0d6f65a8 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173 | py | s597002071.py | n = int(input())
n1 = 1
n2 = 1
result = 0
if n < 2:
result = 1
else:
for i in range(n-1):
result = n1 + n2
n2 = n1
n1 = result
print(result)
|
1ce17774ba43300fdb3a0680a89b244d8b68f0c1 | f4e53c29db213daa3c3e2f117547c6263b8dfe6f | /python/sudoku.py | 555def6a6d0ab0738f6874062b9cb82b8b279d1b | [] | no_license | VilleSalonen/sudoku-solver-bit-arithmetic | a9222a3d2037e482c1c9c311a15788fdce247c3c | 6a6d99baa1f68c827d24d35e0d40324869e2b7eb | refs/heads/master | 2022-06-09T19:04:35.321506 | 2022-06-01T11:51:40 | 2022-06-01T11:51:40 | 7,065,336 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 238 | py | sudoku.py | import sys
from sudoku_utils import *
from sudoku_logic import *
def solve_input(input):
table = initialize(input)
table = solve(table)
return table
if __name__ == '__main__':
print_human_table(solve_input(sys.argv[1])) |
78435ff9d6f1b54cea334da446dd47165d34f7a0 | dfee9df52a9ed851e2efbcb62b00af36f69a5310 | /PySem3/lab3/cw1.py | a6629aa48061f5b5dc83c04486be3e1d83733157 | [] | no_license | are-you-real/pyton | 518eeb8b4145b31fed83d00aa604c9bc90190edf | 8570df556fc0409d87c989ac1481bcce0949b1a5 | refs/heads/master | 2022-12-04T09:14:09.737106 | 2020-08-21T22:11:50 | 2020-08-21T22:11:50 | 287,969,323 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 267 | py | cw1.py | import math
pi=3.1415
fi=[]
A=15
y=[]
for i in range(50):
fi.append(i*2*pi/50)
y=(A*math.sin(fi[i]))
x=int(y)
print i
if x>0:
print ' '*100,
print '+'*x
elif x==0:
print ' '*100,
print 0
elif x<0:
x=-x
print ' '*(100-x),
print '-'*x
|
f4d83857184e26c84e4c8d5ade67503d8e19ef01 | 114c5b9e833f964b89746c4b5ef04819be4d9daf | /bwi/migrations/0002_auto_20170718_0905.py | 8e26bafee82e00a10bc00617f95fb60c7725ebc0 | [] | no_license | inwonday/pettyCash | 2e08b19268306b0de76bcc58f3985016795c9540 | 9461b21957aaed24c61b79e86e328bf5a1d94e44 | refs/heads/master | 2021-01-01T19:17:03.046714 | 2017-09-04T05:51:15 | 2017-09-04T05:51:15 | 98,554,721 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,670 | py | 0002_auto_20170718_0905.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.2 on 2017-07-18 09:05
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_depende... |
74a12b0e33a573f3bc0ce32b36f75c27af16f716 | 8130566e794e1f72211cf135224ec0cc597b8362 | /Scripts/joblocationsoverall.py | 2afe5d1b856f0fa092cc41656390ebfb78fe09a2 | [] | no_license | snehadujaniya/SIH-2020 | bbfb45f2fdd9ac2d5bf8f56bad1fecb212552a7e | 1bb9459e204cf4594edf207f5580fb2cd3eee18b | refs/heads/master | 2022-11-28T08:04:36.638494 | 2020-08-03T11:45:49 | 2020-08-03T11:45:49 | 285,644,731 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 735 | py | joblocationsoverall.py | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
df = pd.read_csv("Final 2titles.csv")
x = df['Location'].value_counts()
dict(x)
list_of_others = []
for key, value in x.items():
if value <= 5:
list_of_others.append(key)
for i in range(len(df)):
if df.loc[i, 'Location'] in list_... |
9ba4b0db019d2d6bee36c933089b8e6d8864109a | ce668943b9a2bb224cd12f4bc947a4cab56c211a | /roast/testlibs/linux/rfdc.py | 8533965b7b56601a0c14c12fee0a403c9521c70d | [
"MIT"
] | permissive | WafaAbdulla-tech/roast-xilinx | 6b71af4c1fc9124b722dc581004f27b8992ced4d | 04f9a9b0cf92efc2561bc31518103d4f474dfa69 | refs/heads/master | 2023-09-04T19:23:56.559600 | 2021-11-17T18:17:05 | 2021-11-17T18:17:05 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,340 | py | rfdc.py | #
# Copyright (c) 2020 Xilinx, Inc. All rights reserved.
# SPDX-License-Identifier: MIT
#
from roast.testlibs.linux.baselinux import BaseLinux
from roast.testlibs.linux.fileops import FileOps
class Rfdc(BaseLinux, FileOps):
def __init__(self, console, config):
super().__init__(console, config)
def r... |
52a90ba42f4a7d281e8518e66f431cefd00b7f3c | e2b9b562d588fb295700aefef02e6274b7213a00 | /include/GHC/Classes.spec | 4031995e0624ef369a1f3181ca9b6b2efc2fa6de | [
"MIT"
] | permissive | pbougou/liquidhaskell | 4b8fd7a213829790cab545093b27a46da6a67df3 | ad7f0cf5b86cb62fa855f3392bfa34f65225c4ed | refs/heads/develop | 2021-06-23T22:32:15.201211 | 2020-09-29T13:13:18 | 2020-09-29T13:13:18 | 237,412,197 | 0 | 0 | NOASSERTION | 2020-10-05T09:51:44 | 2020-01-31T10:58:06 | Haskell | UTF-8 | Python | false | false | 1,310 | spec | Classes.spec | module spec GHC.Classes where
import GHC.Types
not :: x:GHC.Types.Bool -> {v:GHC.Types.Bool | ((v) <=> ~(x))}
(&&) :: x:GHC.Types.Bool -> y:GHC.Types.Bool
-> {v:GHC.Types.Bool | ((v) <=> ((x) && (y)))}
(||) :: x:GHC.Types.Bool -> y:GHC.Types.Bool
-> {v:GHC.Types.Bool | ((v) <=> ((x) || (y)))... |
d5c7a1fee65f80af5b8245e20058d7377ae4e808 | f99f30752e9bb9e023b37c731f64fb2155ac3daf | /06/argument.py | f562dd9d80446c3c899c8b92958b8fe4bc7b8b18 | [] | no_license | chu83/python-basics | 148ff6977f5ca04775951d90ed1f5f763c51a9ff | 19fe0937842c668f604876be0aeb0962a2630dd2 | refs/heads/master | 2023-01-19T01:29:25.203738 | 2020-11-29T18:34:33 | 2020-11-29T18:34:33 | 311,258,549 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 724 | py | argument.py | # 기본 인수(default parameter)
def incr(a, step=1):
return a+ step
a = incr(10, 1)
print(a)
a = incr(10, 5)
print(a)
print('=========== 키워드 인수값(keyword parameter ===========')
def area(width, height):
return width * height
print(area(10, 10))
print(area(width =10, height = 20))
print(area(height = 20, width=1... |
a47c07224478f38d01cff080c0b7b71fd3c749e5 | 4dbaa3ed6a4acba224b3a467dc852e761c672584 | /core.py | 1d4b1df7c5716f96ed19e72afe5ef2902ac1ead6 | [] | no_license | wgryglas/reDocWriter | b8ffed468f7e07ee90b5ef9f8b200c572f12437b | a660f6864528bc1a8460ff5b22a37360d36e868e | refs/heads/master | 2020-08-04T07:49:03.178398 | 2019-12-14T16:30:22 | 2019-12-14T16:30:22 | 212,061,898 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,143 | py | core.py | import subprocess
from errors import ErrorHandler
from files import *
from async_execution import start_process
from pyqode.qt.QtCore import Signal, QObject
class BaseWebsiteBuildEnvironment:
rst_location = "content"
theme_location = "theme"
output_location = "output"
server_port = "8000"
def __... |
c4748b58187fedd8d4d5f12bbffdadb5f85aa490 | f9789d41a2c3bf9920e8f512e4bb6ba39bde3e97 | /practice-problem-2.py | 2df0d8916a666852333758c48265be2b8c8219b3 | [] | no_license | julienisbet/python-eod-practice | da0c64899c0abf0fce2ec740653ff89cd0b8b4e1 | adf998cbe3fab549c5627af50d620eaa1d123531 | refs/heads/main | 2023-02-23T07:00:47.777246 | 2020-10-07T20:49:07 | 2020-10-07T20:49:07 | 302,150,906 | 1 | 0 | null | 2020-10-07T20:48:29 | 2020-10-07T20:20:17 | Python | UTF-8 | Python | false | false | 722 | py | practice-problem-2.py | # DICTIONARY
#
prices = [1.25, 0.75, 2, 4, 2.25, 1.10, 1.10]
toppings = ['pepperoni', 'mushrooms', 'pineapple', 'sausage', 'bell peppers', 'olives']
def formatted_price(price):
return "$%.2f" % price
## Part 1
# Create a dictionary called topping_prices using zip that has the topping
# name as a key and its floa... |
623d9bfd5810686c3bbb459c41e6444a7e2d9a84 | 63b88354aa33c50e13b7be3b51e4c4cf41acf0ec | /mnistexample.py | 229fff8fc70dd4e5eb158f929bd932e8c3f81bde | [] | no_license | mburaksayici/Practical-CNN-Udemy | b18a074ecece85377437b927d94708f7fea57072 | 89bb52a6db60ae686c6ab8c3b9eb77e6e81a48b0 | refs/heads/master | 2022-10-24T05:05:33.155996 | 2022-10-14T23:40:12 | 2022-10-14T23:40:12 | 158,319,124 | 4 | 3 | null | null | null | null | UTF-8 | Python | false | false | 2,153 | py | mnistexample.py | import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
from keras.utils.vis_utils import plot_model
import matplotlib.pyplot as plt
import os
os.environ['TF_CPP_MIN_... |
0465a95027324ac3882cb881f9168e4bd0e61de6 | 98e3d9c9214882d6e97c8ca9f7f66d7cacb2e096 | /OpenCv/ReadRGB.py | c36881e24bb654bff389524cde494e2c485ae36c | [] | no_license | Rinisha-Burriwar/Python | 88877d6ab2fa871ad96b1a07fc4790388e214e6e | 7435921642b4148d8b0a237a6262a33603df7332 | refs/heads/master | 2020-03-27T19:33:48.039002 | 2018-09-01T16:26:49 | 2018-09-01T16:26:49 | 109,276,462 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 510 | py | ReadRGB.py | import os
import cv2
folderName = os.path.dirname(os.path.realpath(__file__))
image = cv2.imread(folderName + os.path.sep + 'nature.jpeg')
imgHeight , imgWidth , channel = image.shape
print("Image height = {} , Image width = {} , channel = {}".format(imgHeight,imgWidth,channel) )
blue , green , red = cv2.split(ima... |
6fb598192fbe0d4998d0ac07b87b3bb496c5450f | 3d3d25cc0a582b67192f884c9c54700b06cb3517 | /datapoint.py | e6732cd37719d93f8e3118cf2fa41d01bd84d888 | [] | no_license | teddyknox/CS311-K-Means | 7cbec8e3d6bd81c05243432bdf9fbfe750e41008 | 91bcb195eac2b4bc6782629f527e26a52d123409 | refs/heads/master | 2021-01-22T02:42:54.228247 | 2013-04-12T20:49:07 | 2013-04-12T20:49:07 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,305 | py | datapoint.py | """
Representation for a data point. Two classes:
- DataPoint: a generic data Representation
- WordDataPoint: an extension of DataPoint to handle "documents" data points
Author: David Kauchak
Date: April, 2013
"""
import math
import re
import random
class DataPoint:
"""
Sparse representation of a data point.
... |
966aa597e6d9986f95a707a14f4c0fcd688b6d50 | 7fe5cb99188c7270f726b1145fc356fd2922df9d | /geoapi/src/main/python/opengis/metadata/identification.py | a4afa5245ddc5d694ff63e6d73a32919a46b7c5a | [
"Apache-2.0"
] | permissive | opengeospatial/geoapi | eedcf2d3259284fc614f7fa132c77fcef67d7ecc | 7a0872373e4ad70039b5ec9be2f086081fb5c746 | refs/heads/master | 2023-08-17T23:37:23.874101 | 2023-08-10T20:02:27 | 2023-08-10T20:02:27 | 27,879,839 | 111 | 33 | NOASSERTION | 2021-06-28T08:08:29 | 2014-12-11T16:13:54 | Java | UTF-8 | Python | false | false | 12,484 | py | identification.py | #
# GeoAPI - Programming interfaces for OGC/ISO standards
# Copyright © 2018-2023 Open Geospatial Consortium, Inc.
# http://www.geoapi.org
#
from abc import ABC, abstractmethod
from typing import Sequence
from enum import Enum
class AssociationTypeCode(Enum):
CROSS_REFERENCE = "crossReference"
LARG... |
74e7eaf085d5a6b07556946b7d9b9daddf5921f1 | cf675ad885590cf3420673c66c30a7d72def2099 | /python_basico/multiplicador.py | 18769b19aeef80610c3814ff6ec4a6f3b68269b6 | [] | no_license | joseluisquisan/hello-world | 58a7ca9041ee75938a4265329e5303109df1d8e2 | 243767686c0253f2bfe43423d3acea0782d3bf1c | refs/heads/main | 2022-12-10T05:39:17.977055 | 2021-06-11T22:54:55 | 2021-06-11T22:54:55 | 219,223,330 | 0 | 0 | null | 2022-12-08T08:30:31 | 2019-11-02T22:45:04 | Python | UTF-8 | Python | false | false | 154 | py | multiplicador.py | def multiply(a, b):
c = a * b
return c
numero_1 = 2
numero_2 = 4
resultado = multiply(numero_1, numero_2)
print('El resultado es ' + str(resultado)) |
915528e717005291ddc6a4cec6bdb3e9fd10a0b9 | c4a0a3ccdf27c937d0f70bf5b26677a3a1e43c7e | /cinder/tests/unit/volume/drivers/ibm/test_ds8k_proxy.py | 0964a6df1cebcc489c36fa44371b306ce8c98df6 | [
"Apache-2.0"
] | permissive | LINBIT/openstack-cinder | 2538e1769ae95bc166ac7743f5ddbff14a594022 | 04a5d6b8c28271f6aefe2bbae6a1e16c1c235835 | refs/heads/linstor/master | 2023-08-30T20:58:08.103197 | 2023-08-28T10:07:56 | 2023-08-28T11:04:35 | 103,643,517 | 9 | 6 | Apache-2.0 | 2021-03-04T17:12:59 | 2017-09-15T10:07:48 | Python | UTF-8 | Python | false | false | 203,337 | py | test_ds8k_proxy.py | # Copyright (c) 2016 IBM Corporation
# 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 req... |
2f8fd2692e9d34cfd5f73f944fe85e7dee17af6f | b0bef6411df42e89d9c3ac1800c8558a984b1d05 | /NDP_TSP_Policy/NDP_Policy_20/FT_Eval.py | 4ca60c3cc377b8252936a7cfd2a39a03616e7fec | [
"MIT"
] | permissive | oujieww/DNN-DP | 4c9dbdbdfc75fd6d730bce1f35304224b65a2fb0 | 41864a6df870391aa83c218db9dbad3465aa20e8 | refs/heads/master | 2023-03-15T19:27:57.652244 | 2020-07-14T02:31:57 | 2020-07-14T02:31:57 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,628 | py | FT_Eval.py | import os
import time
import argparse
import importlib
import scipy.io
import numpy as np
from pdb import set_trace as bp
from utils import *
import torch
import torch.nn as nn
Train_Batch_size = 100
Batch_size = 10000
Test_num = 10000
learning_rate = 0.0001
batch_per_epoch = int(1000)
def Get_del_index_from_n(num... |
d2641138196f0cecce9d52fc7f6de5d89a1294f2 | 5451301faf5ead33af239418c3515c76354842dd | /apps/forms/user_forms.py | aaf0565c09edc03c0ccf26ac12e06305c5392df7 | [] | no_license | yanzhu-prog/blog-plus | fb7bc4647271fb14ea3862feb224fa1a0b80459b | ba0d15dc9cba9e5db8f1178bacc36d967a0868ea | refs/heads/master | 2022-12-17T09:07:18.612759 | 2019-09-28T01:07:36 | 2019-09-28T01:07:36 | 211,424,619 | 1 | 0 | null | 2022-11-22T04:16:31 | 2019-09-28T01:06:39 | Python | UTF-8 | Python | false | false | 1,444 | py | user_forms.py | from flask_wtf import FlaskForm
from flask_wtf.file import FileRequired, FileAllowed
from wtforms import StringField, PasswordField, Form, DateTimeField, FileField, IntegerField
from wtforms.validators import Length, EqualTo
class RegisterForm(Form):
username = StringField(label='用户名',
... |
98990ecbcc8c386809d5fd4fdd619a47553ac27b | 54dc4eb7d4809f902ed8e4aa5a230578c5ab91e7 | /mysocialmedia/api/posts/serializers.py | 7c7fd890c606bf936b90d287f71d310437e5c3f2 | [] | no_license | lufepama/sinparo-django-react | 5c901d717fe4460753b49aff55a5b0dcf0961907 | ff7042a69194c54421370ad1a4b89933e7256b4c | refs/heads/main | 2023-03-20T23:26:28.895045 | 2021-03-08T23:34:44 | 2021-03-08T23:34:44 | 345,486,134 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 196 | py | serializers.py | from rest_framework import serializers
from .models import UserPost
class UserPostSerializer(serializers.ModelSerializer):
class Meta:
model = UserPost
fields = '__all__' |
a93ddcd21db39d19a3ad360ee66dea0c6bd991d7 | be1c44a5da4ca17dcc3a2c8e35d8eac359a7824a | /p2/ClsModel/NaiveBayes/src/main.py | 12e8684b5215490f5e9c3204ef6243c7ea22757e | [] | no_license | zahrabashir98/Detect-Your-Political-Vision-By-Your-Texts | 0412e88b766da85b0c74350e805762e6869ec099 | 1050c6d001fa1f92ea26a3271e9820c4bbb2a05f | refs/heads/master | 2020-06-05T06:51:33.697298 | 2019-10-06T16:44:32 | 2019-10-06T16:44:32 | 188,612,287 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,356 | py | main.py | import math
# with open("../../ClsData/train.txt") as train:
# with open("test/train.txt") as train:
# string = train.read().split("\n")
# train.close()
inp = input ("You wnat to run program for my data or your TestCase? 1/2 \n")
if inp == "1":
label1 = "Imam"
label2 = "Shah"
write_name = "Test"
... |
cdbd659c282242e17a0075faf77d6d1460b36247 | 4620f6bed85584cf6641f8f2289445d42176ed6b | /horse/boardcut.py | d5b49e87b4695f032b7af95aa579058c9ceae933 | [] | no_license | frol2103/FreeCadProjects | ad4bab28bcfd444f8cf46a5322bdef1c17704728 | 272bd1d43d76f67c3d7694dae277b1f10e3e7255 | refs/heads/master | 2021-05-16T02:59:54.365613 | 2017-05-22T21:59:54 | 2017-05-22T21:59:54 | 3,668,411 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,527 | py | boardcut.py | from side import Side
from middlepart import MiddlePart
import util
import Part, FreeCAD, math
from FreeCAD import Base
mp = MiddlePart()
def makeMPs(reverse=False):
fh = mp.feetHolder()
lh = mp.legHolder()
s = mp.seat()
b = mp.back()
parts = [fh,lh,s,b]
fh.translate(Base.Vector(10))
lh.tr... |
18298a10ac041733ee002e6e2c7965133382ac9d | 60ef615983cc52363f22699441f7f0ac837953b5 | /5 - Problemas com Repetição (For + While)/Fatorial.py | 70088027253c38c2cf0ab1cf9b351cbefd8324d3 | [] | no_license | aryelson1/Atividades-Python | 90fbe72014df6a2674d124a673a205590251647e | 49e0fd453227215ebadfa8c27c0af1c051135bb8 | refs/heads/main | 2023-08-16T04:15:12.215811 | 2021-10-25T23:46:09 | 2021-10-25T23:46:09 | 353,067,543 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 167 | py | Fatorial.py | while True :
F = 1
No = int (input())
if No == -1:
break
while No > 1:
F = F * No
No = No - 1
print (F)
|
f8a753ae489ded2528210d5b988be6f855d44439 | f8cc0048628feab93589af78f6a43fe5b6d1aac7 | /src/test_squared_gradient_magnitude_gaussian.py | 80e9bfbc345c305e3ed66b0ea9da91d77ffb78cc | [] | no_license | HelenaBach/bachelor | fd639a9d37baf49c8bcb8702ee253fb14b4c2ce5 | aa23b77562fb6d3295e04945f71b68f533dfcbba | refs/heads/master | 2021-01-21T04:33:18.648554 | 2016-06-19T15:27:00 | 2016-06-19T15:27:00 | 55,350,531 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 999 | py | test_squared_gradient_magnitude_gaussian.py | import cv2
import numpy as np
import matplotlib.pyplot as plt
from skimage.filters import gaussian
image = cv2.imread('../data/train/27.jpg', 0)
old_image = np.copy(image)
# mild smoothing of the image to reduce noise
gaussian(image, sigma=0.4)
sobelx = cv2.Sobel(image,cv2.CV_64F,1,0,ksize=5)
sobely = cv2.Sobel(ima... |
22c1465b0b6cb8d5e945941b938087312acb934d | 6a4a457fafbcbdb14ee8735d0eaea062b75bdfa3 | /Data Structures/Linked Lists/02-01-remove-duplicates-from-linked-list.py | 4981711ad3f3a2d6fe0d47758117b142b2d15faa | [] | no_license | shash95/datastructures-and-algorithms | c7e8c35fb5b1b73b4c3fb06c9608c721574aed4b | e791220e67752dbf5860b74358eaeb4b29fa155c | refs/heads/master | 2023-01-22T22:17:44.717955 | 2020-10-03T18:46:24 | 2020-10-03T18:46:24 | 296,938,304 | 0 | 0 | null | 2020-09-26T20:16:01 | 2020-09-19T19:31:49 | null | UTF-8 | Python | false | false | 2,630 | py | 02-01-remove-duplicates-from-linked-list.py | ########################################################################################################################
# Remove the duplicates from linked list
########################################################################################################################
class Node:
def __init__(... |
5e7551682afa73fe044d77a179efc8d594327ee8 | 47eebbb9aabb67ed11a677a10c935755b9b71e7a | /Leetcode/3.py | 05e628629584ff3d80023f5209c4aacd4ba28f25 | [] | no_license | afsalcodehack/leetcode | 5feb1f3fd70f2843abf327570a43864a03df64de | d42e5d11256b5f30632d54a327f80285dbc449da | refs/heads/master | 2021-07-13T09:45:23.612754 | 2020-11-04T19:13:13 | 2020-11-04T19:13:13 | 207,119,282 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 57 | py | 3.py | dict = {}
dict[1] = 3
dict[1] = dict[1] + 1
print(dict) |
8160f208b26f87698cf3d6a8b9940378216f2d73 | a5b187c5c82b76399913c0cf7795d04a157beec2 | /Tarea5.py | 94137d73bca3ae5b9da09cb81d709e4ba33b8d7b | [] | no_license | ismaelpessa/T5 | b4fa262717181a92901c16a5e253601f61fa5234 | 5405d43c0f367fe765575a653e224aea46388890 | refs/heads/master | 2021-01-20T19:13:19.964091 | 2016-06-15T00:10:32 | 2016-06-15T00:10:32 | 61,164,464 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 26,698 | py | Tarea5.py | import numpy as np
import math
import matplotlib.pyplot as plt
import pyfits
import random
import glob
from matplotlib.figure import Figure
import scipy
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
def columnas(filee,x,indicador):
## Si indicador es 1, columna es... |
4937877a4ccacdd268cbbc9e56c91bb7468cf014 | f257283aa53e40fd696f2d59eabac04c90cabd7e | /Operand.py | c1dfd6397f29832c42a30f937a74b214b594db81 | [] | no_license | lauraashj/PythonInterpreter | 654cf3f5a8ef7044088418729f98e2d9f8767efd | 63f653dfc2300994d5eb648d2587b1b215f3f797 | refs/heads/master | 2021-01-20T01:03:30.102518 | 2015-09-09T19:59:06 | 2015-09-09T19:59:06 | 42,201,405 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 185 | py | Operand.py | '''
Created on Nov 13, 2012
@author: Laura
'''
import abc
class Operands(object):
'''
classdocs
'''
@abc.abstractmethod
def getValue(self):
return
|
58098226164aabc06a94b2cd5221b0ae71248a8f | a0b94d5c096ff0a75e7133318d18eeaa28928a1c | /爬虫/豆瓣分类榜单.py | ab792b889c16bd14332a95bc771a54d746e7a5bb | [] | no_license | zhoushujian001/homework | cf8448fc027e154592f7b9d672f644e668b146ac | 55be6e18f746b25977d94024933890229c39fe57 | refs/heads/master | 2020-03-27T10:47:15.457753 | 2018-11-10T12:49:23 | 2018-11-10T12:49:23 | 146,444,975 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 726 | py | 豆瓣分类榜单.py | from urllib import request,parse
import json
head = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'
}
a = int(input('请输入要查询的起始位置:'))+1
b = input('请输入要查询的电影个数:')
c = input('请输入要查询的电影范围（如评分为100%-90%以内，输入100:90）:')
url='https://mov... |
71c89bc26285016b168d154fb731d3673349bec9 | c31f1c509f30dd9ac73c19d4cca7fd0c1b870b17 | /ultros_site/route_manager.py | ca1781069f3ca8335c3c17f49c7a89a1400941e2 | [
"MIT",
"Artistic-2.0"
] | permissive | GlowstoneMC/Site | 20391cbcadb90aa311764250c8eeaacef88e9d94 | 6d65463bfa75247e302943363b5927a34178712d | refs/heads/master | 2021-05-18T09:15:28.843798 | 2021-01-16T16:57:57 | 2021-01-16T16:57:57 | 94,638,103 | 2 | 3 | NOASSERTION | 2020-01-22T08:22:20 | 2017-06-17T17:11:15 | HTML | UTF-8 | Python | false | false | 3,550 | py | route_manager.py | # coding=utf-8
import os
import inspect
import importlib
import logging
import falcon
from pprint import pformat
from mako.template import Template
from mako.lookup import TemplateLookup
from mimetypes import guess_type
from ultros_site.base_route import BaseRoute
from ultros_site.base_sink import BaseSink
from u... |
cf5fe83a83978ba1a47e1a9c3d6cfcf588f2db51 | 4f0d8bfb92b34ed86c8bc91e37afc29cb472d7ed | /bib2web/__main__.py | dc14552722fbfc6ca94239f37be8534fc5fcc835 | [
"MIT"
] | permissive | Juvawa/bib2web | 6d47e7747ad017eb62783756bb39bb60ee5423f0 | 8d6c2244e46eefee1a519f8b3b656a143aa8bd9e | refs/heads/master | 2016-09-02T06:18:58.035345 | 2015-06-18T12:26:46 | 2015-06-18T12:26:46 | 37,621,342 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | __main__.py | from main import main
import sys
if __name__ == '__main__':
#print sys.argv[1]
#start = time()
main()
#end = time()
#print end-start |
673d3f6a5c43fa5c1edffb493b929678159a43af | ccbd29e69f22d6140518c699d4ac0e52e6e82402 | /primary_algorithm/array/maxProfit.py | 247d4998811f72eb89ac00267cbabdcaf1ecf089 | [] | no_license | Lwq1997/leetcode-python | c78e4e7715f961eef0e66ff829a39b0709c4935a | 74df49d16a41c18b95e56f3b54aaeb57ced0c8e2 | refs/heads/master | 2020-05-07T14:36:58.830426 | 2019-09-17T08:28:25 | 2019-09-17T08:28:25 | 180,601,746 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,726 | py | maxProfit.py | # -*- coding: utf-8 -*-
# @Time : 2019/4/10 23:02
# @Author : Lwq
# @File : maxProfit.py
# @Software: PyCharm
"""
假设有一个数组，它的第i个元素是一支给定的股票在第i天的价格。
如果你最多只允许完成一次交易(例如,一次买卖股票),设计一个算法来找出最大利润。
输入: [7,1,5,3,6,4]
输出: 5
解释: 在第 2 天（股票价格 = 1）的时候买入，在第 5 天（股票价格 = 6）的时候卖出，最大利润 = 6-1 = 5 。
注意利润不能是 7-1 = 6, 因为卖出价格需要大于买入... |
5cac66b8c2ea4c6d2f40d9cc966cfd410cda0a31 | 47edbb524075e43a011050f108fb675b2d6e369d | /src/calculate_TRMM_params.py | 3b26b0bb6a2fedf102700e66448c20804c5912b4 | [] | no_license | xue-feng/TRMM | 42e32f4e1570d1d629a1cc822524acbf400f46e1 | e846a45f76d35993bcf4e41acf7309fbc262b393 | refs/heads/master | 2020-12-30T09:27:06.141144 | 2017-08-15T20:13:13 | 2017-08-15T20:13:13 | 100,411,604 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,140 | py | calculate_TRMM_params.py | import netCDF4
import numpy as np
import cPickle as pickle
import multiprocessing as mp
def get_precip_series(ilong, ilat, j):
precip = []
for yr in yrs:
for d in range(1,ds[j]+1):
date_stamp = str(yr) + ms[j] + str(d).zfill(2)
nc_file = '../TRMM_data/3B42_Daily.'+date_stamp+'.... |
01423901d6da1a20b8763799789132fb107926f0 | 346d40f443e8f41178163ac1c4fa557dd582844d | /ic/std/dlg/wait_box.py | 36ef1682603b7c2fd37decbce9c20250ef2eb975 | [] | no_license | XHermitOne/icscanner | 5a21dfe93e3477ac99f4e6b4fbdc624ae01eaf4b | 0be4370cd21b6aa9b0a4722d546f75de0c1cad25 | refs/heads/master | 2021-01-23T10:57:59.796905 | 2019-08-30T02:31:17 | 2019-08-30T02:31:17 | 93,115,605 | 5 | 2 | null | null | null | null | UTF-8 | Python | false | false | 5,394 | py | wait_box.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Модуль диалоговых функций пользователя.
"""
import os
import os.path
import wx
import wx.animate
import thread
import time
__version__ = (0, 1, 1, 2)
# Задержка между кадрами
FRAME_DELAY = 0.3
ic_wait_process_dlg = None
def wait_func(parent, message,
... |
ec57aa123322b1cbd7965a251fa9e1f8e8b97545 | 4cdd5813d20f40d525b4d418df2788fa72a394bf | /Leetcode/medium/spiral-matrix.py | c93d86c4e5e9d8d91114d4a4f18ab3b713acd8be | [
"MIT"
] | permissive | das-jishu/data-structures-basics-leetcode | 9baa78b49cfc1b0f5c48ef961b85b4fa9ffaf0dd | 9f877ba8ed1968c21c39ebeae611ba3c448a083a | refs/heads/master | 2023-08-21T06:54:57.380306 | 2021-10-01T02:59:51 | 2021-10-01T02:59:51 | 298,940,500 | 23 | 21 | MIT | 2021-10-01T02:59:52 | 2020-09-27T02:52:50 | Python | UTF-8 | Python | false | false | 1,126 | py | spiral-matrix.py | """
# SPIRAL MATRIX
Given a matrix of m x n elements (m rows, n columns), return all elements of the matrix in spiral order.
Example 1:
Input:
[
[ 1, 2, 3 ],
[ 4, 5, 6 ],
[ 7, 8, 9 ]
]
Output: [1,2,3,6,9,8,7,4,5]
Example 2:
Input:
[
[1, 2, 3, 4],
[5, 6, 7, 8],
[9,10,11,12]
]
Output: [1,2,3,4,8,12,11,10,9... |
11177aaf6ccb453e143fc5d1a2daf612c88ced24 | 258bc213422891dea74c86c0b7569cbb3b9fac12 | /application/__init__.py | f72b531809e2f9f018868c462bb8414057614eb8 | [] | no_license | hayatoise/sample-flask-sqlalchemy | 60cdd82586c434b7891f1289b92cb05e19e1ed1a | d323f078f7a148b7a479b2900939db6ea065d220 | refs/heads/master | 2022-10-11T19:48:08.054242 | 2019-10-16T17:40:31 | 2019-10-16T17:40:31 | 215,608,245 | 0 | 0 | null | 2022-09-16T18:14:59 | 2019-10-16T17:41:15 | Python | UTF-8 | Python | false | false | 282 | py | __init__.py | from flask import Flask
from application.database import initialize_database
from application.models import User
def create_app():
app = Flask(__name__)
app.config.from_object('application.config.Config')
initialize_database(app)
return app
app = create_app()
|