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42641515679 | # -*- coding: utf-8 -*-
# @Time : 2020/12/13 11:04
# @Author : Joker
# @Site :
# @File : draw.py
# @Software: PyCharm
import numpy as np
import matplotlib.pyplot as plt
m = 20 # 行
n = 2 # 列
c = 5 # 分类数量
test_point = [2, 6] # 测试点数据
if __name__ == '__main__':
# 文件地址
path = "C:/Users/99259/source... | Chimaeras/Data_Mining_ex | src/category_draw.py | category_draw.py | py | 3,852 | python | en | code | 0 | github-code | 6 |
2856090188 | import unittest
from conans.test.tools import TestClient
from conans.util.files import load
import os
import platform
class ConanEnvTest(unittest.TestCase):
def conan_env_deps_test(self):
client = TestClient()
conanfile = '''
from conans import ConanFile
class HelloConan(ConanFile):
name = "... | AversivePlusPlus/AversivePlusPlus | tools/conan/conans/test/integration/conan_env_test.py | conan_env_test.py | py | 2,180 | python | en | code | 31 | github-code | 6 |
40796544139 | import pydantic
from pydantic import validator
import typing
from uuid import UUID, uuid4
class SchemaCustomer(pydantic.BaseModel):
id: str
name: str
last_name: str
email: pydantic.EmailStr
age: pydantic.PositiveInt
@validator('id', pre=True, always=True)
def convert_id_to_str(cls, v):
... | edmon1024/workshop-api-ejemplo-fastapi | app/schemas.py | schemas.py | py | 708 | python | en | code | 0 | github-code | 6 |
26671808814 |
#Diccionario para los datos
clientes={45471:["Luis Perez",45,"BJX", True], 8944411:["FernandaGarcia",25,"JAL", True],
5223:["Alejandra Ortiz",33,"JDL", True]}
#se crean una funcion para agregar clientes
def Agregar():
#Bucle para evitar errores con el input del INE
while True:
... | JoseCarlosLugo/Ejercicio-retadores-6-7-8 | Ejercicio_8_func.py | Ejercicio_8_func.py | py | 6,125 | python | es | code | 0 | github-code | 6 |
11670856973 |
# See subject at https://www.ilemaths.net/sujet-suite-864999.html
"""
La suite de Conway
"""
from itertools import groupby, islice
def gen_conway(germe):
"""Génère la suite de Conway à partir du germe"""
while True:
yield germe
germe = ''.join(f"{len(tuple(g))}{c}" for c, g in groupby(germe... | bdaene/ilemaths | suite-864999.py | suite-864999.py | py | 667 | python | fr | code | 0 | github-code | 6 |
32094902662 | ''' 1251번 단어 나누기
문제
알파벳 소문자로 이루어진 단어
단어를 길이가 1 이상인 세 개의 더 작은 단어로 나누는
나눈 세 개의 작은 단어들을 앞뒤를 뒤집고, 이를 다시 원래의 순서대로 합친다.
단어 : arrested
세 단어로 나누기 : ar / rest / ed
각각 뒤집기 : ra / tser / de
합치기 : ratserde
단어가 주어지면, 이렇게 만들 수 있는 단어 중에서 사전순으로 가장 앞서는 단어를 출력하는 프로그램을 작성하시오.
입력
첫째 줄에 영어 소문자로 된 단어가 주어진다. 길이는 3 이상 50 이하이다.
출력
첫째 줄에 구하고... | doll2gom/TIL | KDT/week6/02.03/4_1251.py | 4_1251.py | py | 2,583 | python | ko | code | 2 | github-code | 6 |
74537456828 | import numpy as np, cv2
def draw_histo(hist, shape=(200, 256)):
hist_img = np.full(shape, 255, np.uint8) # 흰색이 배경이 되도록 초기화
cv2.normalize(hist, hist, 0, shape[0], cv2.NORM_MINMAX) # 최솟값이 0, 최대값이 그래프의 높이 값을 갖도록 빈도값을 조정
gap = hist_img.shape[1]/hist.shape[0]
for i, h in enumerate(hist):
x =... | binlee52/OpenCV-python | Common/histogram.py | histogram.py | py | 539 | python | en | code | 1 | github-code | 6 |
10699282838 | import tensorflow as tf
import os
from xdnlp.utils import default_logger as logging
def load_data_from_directory(_path: str, batch_size, validation_split=0.1, seed=123, label_mode='categorical',
train=True):
"""train_dir: the train data dir
test_dir: the test data dir
Just... | mikuh/xdnlp | xdnlp/classify/utils.py | utils.py | py | 2,972 | python | en | code | 1 | github-code | 6 |
71484039228 | class Cube:
def __init__(self, x, y, z, s):
self.x, self.y, self.z = x, y, z
self.s = s
def is_in_cube(self, x, y, z):
return self.x <= x <= self.x + self.s and self.y <= y <= self.y + self.s and self.z <= z <= self.z + self.s
def intersect(self, C):
dxyz = [(0, 0, 0),
... | knuu/competitive-programming | aoj/16/aoj1612.py | aoj1612.py | py | 2,362 | python | en | code | 1 | github-code | 6 |
70416778427 | from config import config
import random
import requests
import chardet
from db.db_select import sqlhelper
import threading
lock = threading.Lock()
class Downloader(object):
@staticmethod
def download(url):
try:
r = requests.get(url=url, headers=config.get_header(), timeout=config.TIMEOUT)... | queenswang/IpProxyPool | spider/HtmlDownloader.py | HtmlDownloader.py | py | 1,469 | python | en | code | 0 | github-code | 6 |
6460673982 | import logging
from pprint import pprint # noqa
from olefile import isOleFile, OleFileIO
from ingestors.support.timestamp import TimestampSupport
from ingestors.support.encoding import EncodingSupport
log = logging.getLogger(__name__)
class OLESupport(TimestampSupport, EncodingSupport):
"""Provides helpers for... | alephdata/ingest-file | ingestors/support/ole.py | ole.py | py | 2,390 | python | en | code | 45 | github-code | 6 |
19993528742 | """
This script crawls data about Malaysian stock indices and stores the output in a csv file.
"""
import requests
from bs4 import BeautifulSoup
import time
#Website to get the indices
base_url = 'https://www.investing.com/indices/malaysia-indices?'
print('Scraping: ' + base_url)
headers = {'User-Agent':... | ammar1y/Data-Mining-Assignment | Web crawlers/Malaysian stock indices crawler.py | Malaysian stock indices crawler.py | py | 3,548 | python | en | code | 0 | github-code | 6 |
20972621530 |
import sys
import random
import math
from tools.model import io
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from detection import box, anchors, display, evaluate, loss
import argparse
from detection.models import models
from tools.image import cv
def ran... | oliver-batchelor/detection | models/test.py | test.py | py | 2,957 | python | en | code | 0 | github-code | 6 |
6905516706 | """
Python Tutorial: https://docs.python.org/3/tutorial/errors.html
Errors & Exceptions
"""
def myf(x, y):
x/y
try:
# raise ZeroDivisionError("text of an exc...")
myf(4, 0)
# except BaseException as err:
# print(f"Base! {err}")
except ZeroDivisionError as err:
print(f"zero! {err}")
except TypeErro... | hqpiotr/learning-python | 0. Python Tutorial - docs/exceptions.py | exceptions.py | py | 454 | python | en | code | 0 | github-code | 6 |
1498361105 | n = int(input("Enter an integer: "))
a = 0
b = 1
count = 0
sum1 = 0
lst = list()
listfib = list()
listeven = list()
sum2 = 0
while count <= n:
lst.append(sum1)
count += 1
a = b
b = sum1
sum1 = a + b
for j in lst:
if j <= n:
listfib.append(j)
for k in listfib:
if k % 2 == 0:
l... | BRAVO68WEB/codetantra-py-labs | Lab4b.py | Lab4b.py | py | 463 | python | en | code | 0 | github-code | 6 |
74471362747 | from faculty import Faculty
from student import Student
class University:
"""A class representing a university.
Attributes:
faculties (list[Faculty]): A list of faculties in the university.
"""
def __init__(
self,
uni_dict_data: dict = None,
):
"""Initializes a ne... | pyramixofficial/OOP | second_lab/university.py | university.py | py | 3,390 | python | en | code | 0 | github-code | 6 |
37379394096 | try:
import Image
import ImageDraw
except:
from PIL import Image
from PIL import ImageDraw
import glob
import numpy as np
import os
import sys
def image_clip(img_path, size):
# 转换为数组进行分割操作，计算能完整分割的行数、列数
imarray = np.array(Image.open(img_path))
imshape = imarray.shape
image_col = int(i... | faye0078/RS-ImgShp2Dataset | train_example/model/Fast_NAS/data/slip_img.py | slip_img.py | py | 1,752 | python | zh | code | 1 | github-code | 6 |
14896890650 | """empty message
Revision ID: 97dd2d43d5f4
Revises: d5e28ae20d48
Create Date: 2018-05-30 00:51:39.536518
"""
# revision identifiers, used by Alembic.
revision = '97dd2d43d5f4'
down_revision = 'd5e28ae20d48'
from alembic import op
import sqlalchemy as sa
def upgrade():
# ### commands auto generated by Alembic ... | duvholt/memorizer | migrations/versions/97dd2d43d5f4_.py | 97dd2d43d5f4_.py | py | 828 | python | en | code | 16 | github-code | 6 |
25069435045 | from typing import List, Any, Tuple
from ups_lib.av_request import AddressValidationRequest
from purplship.core.utils import (
XP,
DP,
request as http,
exec_parrallel,
Serializable,
Deserializable,
Envelope,
Pipeline,
Job,
)
from purplship.api.proxy import Proxy as BaseProxy
from pur... | danh91/purplship | sdk/extensions/ups/purplship/mappers/ups/proxy.py | proxy.py | py | 3,654 | python | en | code | null | github-code | 6 |
15512949000 | #This is for the introduction and Asking user info
#Asking user their name and checking if it is correct
def name():
name_1=input("What is your name?")
right_name=input("Your name is {}. Is this correct? press [y/n]".format(name_1))
if right_name == 'y':
print("Hi {}. Welcome to my Car theft prevent... | karthik-create/Car_theft- | intro.py | intro.py | py | 513 | python | en | code | 0 | github-code | 6 |
70211001788 | from django.conf.urls import patterns, include, url
from django.conf import settings
from cer_manager.views import *
# Uncomment the next two lines to enable the admin:
# from django.contrib import admin
# admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'cer_manager.views.ho... | colive/cer_manager | urls.py | urls.py | py | 1,030 | python | en | code | 0 | github-code | 6 |
19583758283 | """
This file is used to perform a random hyperparameter search on the Coco dataset using the baseline image captioner.
For more info on the ImageCaptionerBaseline class, please check out the docstrings in the image_captioning.py file.
"""
# Package loading
import argparse
import os
import sys
sys.path.append('..')
... | milenakapralova/socraticmodels | scripts/coco_caption_base_hp_tune.py | coco_caption_base_hp_tune.py | py | 3,103 | python | en | code | 0 | github-code | 6 |
34131870149 | import time
import numpy as np
def num_with_sqr_lt_n(n):
while not np.sqrt(n).is_integer():
n-=1
return int(np.sqrt(n))
def process(n, state):
num = state[0]
sub = state[1]
den = n - sub**2
if den%num==0:
den = den/num
sub = -1*sub
num = np.sqrt(n)+sub
#print('\n',den,sub,num,'\n')
a = ... | sadimanna/project_euler | p64.py | p64.py | py | 1,386 | python | en | code | 0 | github-code | 6 |
10173968880 | from configparser import ConfigParser
# get the configparser object
config_object = ConfigParser()
# set config
config_object["SERVERCONFIG_BROWSER"] = {
"host": "127.0.0.1",
"port": "8888",
"web_directory": "www/"
}
config_object["SERVERCONFIG"] = {
"host": "127.0.0.1",
"port": "8080",
}
# Writ... | kaumnen/diy-http-server | config/config.py | config.py | py | 428 | python | en | code | 0 | github-code | 6 |
17287700821 | import yaml
import argparse
from jinja2 import Environment, FileSystemLoader, Template
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('--jobs',
required=True)
parser.add_argument('--job_config',
required=True)
return parser.parse_... | Chappers1992/Variability | run.py | run.py | py | 759 | python | en | code | 0 | github-code | 6 |
13155871471 | import serial
import time
# pass in upper and lower 8 bit values
# returns the 16 bit value as an int
# def PrintContcatBytes(valueOne, valueTwo):
# print bin(valueOne)[2:].rjust(8,'0')
class ReturnValue(object):
def __init__(self, valid, pm10, pm25, pm100, num3, num5, num10, num25, num50, num100):
self.... | learnlafayette/sensors | sensors/sensors/test/samples/pm_sample.py | pm_sample.py | py | 2,794 | python | en | code | 0 | github-code | 6 |
32412548511 | ### Spine by Chris Alexander
# Standard imports
# Custom imports
import DataFormat
import Interface
# Interface Input class
class Input(Interface.I, DataFormat.Format):
# The max number of bytes to receive from the socket
maxBytesReceive = 2048
# Initialise the Input Interface
def __... | arnie-robot/Spine | src/Interface/input.py | input.py | py | 1,072 | python | en | code | 0 | github-code | 6 |
21340780197 | import sqlite3
from recipe import Recipe, Quantity, stringsToQuantities
class Database:
def __init__(self,database):
self.connection = sqlite3.connect(database)
self.c = self.connection.cursor()
# self.c.execute("""DROP TABLE IF EXISTS ingredients""")
# self.c.execute("""DROP T... | fcopp/RecipeApplication | backend/backend.py | backend.py | py | 7,842 | python | en | code | 0 | github-code | 6 |
1480464469 | from jinja2 import DebugUndefined
from app.models import db, Order
from datetime import datetime
def seed_orders():
christian = Order(
userId=1,
gigId=2,
gigImage='https://nerdrr.s3.amazonaws.com/fruits-basket.jpg',
deliveryInstructions='Please mail directly to me.',
placed=datetime(2022, 6, 5, 8... | Amlovern/nerdrr | app/seeds/orders.py | orders.py | py | 1,402 | python | en | code | 0 | github-code | 6 |
41791316904 | import pytessy as pt
from PIL import ImageFilter, Image
if __name__ == "__main__":
# Create pytessy instance
ocrReader = pt.PyTessy()
files = ["cell_pic.jpg"]
for file in files:
# Load Image
img = Image.open(file)
# Scale up image
w, h = img.size
img = img.resize((2 * w, 2 * h))
# Sharpen imag... | TheNova22/OurVision | legacy1/testtessy.py | testtessy.py | py | 628 | python | en | code | null | github-code | 6 |
24117960481 | import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import Categorical
import numpy as np
from skimage.transform import resize
# hyper params
gamma = 0.98
class Policy(nn.Module):
def __init__(self):
super(Policy, sel... | sachinumrao/pytorch_tutorials | cnn_breakout_rl.py | cnn_breakout_rl.py | py | 4,757 | python | en | code | 0 | github-code | 6 |
14150647036 | import json
import re
from requests_toolbelt import MultipartEncoder
from todayLoginService import TodayLoginService
from liteTools import *
class AutoSign:
# 初始化签到类
def __init__(self, todayLoginService: TodayLoginService, userInfo):
self.session = todayLoginService.session
self.host = today... | zuiqiangdexianyu/ruoli-sign-optimization | actions/autoSign.py | autoSign.py | py | 16,038 | python | en | code | null | github-code | 6 |
9837240055 | from urllib.parse import urljoin
import requests
import json
from fake_useragent import UserAgent
from lxml import html
import re
from pymongo import MongoClient
ua = UserAgent()
movie_records = []
first = True
base_url = "https://www.imdb.com/"
url = "https://www.imdb.com/search/title/?genres=drama&groups=top_250&sor... | shreyashettyk/DE | Imdb_data_extraction/imdb.py | imdb.py | py | 2,184 | python | en | code | 0 | github-code | 6 |
1369504657 | # -*- coding: utf-8 -*-
import RPi.GPIO as GPIO
import time, datetime
from lcd import *
from Email import *
import server
lcd_init ()
GPIO.setmode(GPIO.BOARD)
print('System start/restart - ' + str(datetime.datetime.now()))
#Switch for Bin 1 to be connected to pin 18 and 3.3v pin
#Switch for Bin 2 to be connected to... | CraigHissett/TM_Timber | BinSensor/BinSensor.py | BinSensor.py | py | 1,875 | python | en | code | 0 | github-code | 6 |
11900486194 | import dash
from dash import html
from matplotlib import container
from navbar import create_navbar
import dash_bootstrap_components as dbc
from dash import Dash, html, dcc, Input, Output
import plotly.express as px
import pandas as pd
f_sb2021 = pd.read_csv("f_sb2021.csv", on_bad_lines='skip', sep=';')
f_sb2022 = pd.... | jeanpierec/ljpiere_projects | DataScience_projects/Proyecto5_DS4ABucaramanga/home.py | home.py | py | 4,956 | python | en | code | 1 | github-code | 6 |
18100941624 | """
739. Daily Temperatures
https://leetcode.com/problems/daily-temperatures/
"""
from typing import List
from unittest import TestCase, main
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
stack: List[int] = []
# List of indexes, not temperatures
answer ... | hirotake111/leetcode_diary | leetcode/739/solution.py | solution.py | py | 1,081 | python | en | code | 0 | github-code | 6 |
8271520226 | ##problem 16
import random
rolls = 10
success = 0
failure = 0
for i in range(rolls):
coinchoice = random.randint(1,3)
if (coinchoice == 1): ##heads in both faces
failure = failure+1
elif (coinchoice == 2): ##heads and tails
success = success+1
elif (coinchoice == 3): ##tails on both f... | jkiyak/CS355-Probability-and-Statistics-in-Computer-Science- | SP2019 CS 355_555-2E Probability/homework2.py | homework2.py | py | 604 | python | en | code | 0 | github-code | 6 |
20893678055 | # I don't understand the question, so this answer was not mine, it was from reddit.
recipes = '084601'
score = '37'
elf1 = 0
elf2 = 1
while recipes not in score[-7:]:
score += str(int(score[elf1]) + int(score[elf2]))
elf1 = (elf1 + int(score[elf1]) + 1) % len(score)
elf2 = (elf2 + int(score[elf2]) + 1) % l... | EricKim987/adventOfCode2018 | day14/day14.py | day14.py | py | 423 | python | en | code | 0 | github-code | 6 |
14175319666 | import numpy as np
__author__ = 'punki'
class LinearRegresion:
def __init__(self, reg_lambda, transofrmation):
self.transofrmation = transofrmation
self.reg_lambda = reg_lambda
self.w = []
def fit(self, training_data_set):
x = np.array([self.transofrmation(z[0],z[1]) for z in... | tomasz-pankowski/LinearRegresion | common/LinearRegresion.py | LinearRegresion.py | py | 835 | python | en | code | 0 | github-code | 6 |
72729319867 | # External dependencies
import openai
import io
import os
import tempfile
from datetime import datetime
from flask import render_template, request, url_for, redirect, flash, Response, session, send_file, Markup
from flask_login import login_user, login_required, logout_user, current_user
from flask_mail import Message
... | joaomorossini/Clever-Letter-Generator | routes.py | routes.py | py | 10,934 | python | en | code | 1 | github-code | 6 |
28800521491 | """Function to calculate the enrichment score for a given similarity matrix."""
import numpy as np
import pandas as pd
from typing import List, Union
import scipy
from cytominer_eval.utils.operation_utils import assign_replicates
def enrichment(
similarity_melted_df: pd.DataFrame,
replicate_groups: List[str]... | cytomining/cytominer-eval | cytominer_eval/operations/enrichment.py | enrichment.py | py | 2,845 | python | en | code | 7 | github-code | 6 |
25571472390 | import logging
# fmt = "%(name)s----->%(message)s----->%(asctime)s"
# logging.basicConfig(level="DEBUG",format=fmt)
# logging.debug("这是debug信息")
# logging.info('这是info信息')
# logging.warning('这是警告信息')
# logging.error('这是错误信息')
# logging.critical('这是cri信息')
logger = logging.getLogger('heihei') #默认的打印级别是WARNING，所以当跟控制台... | lishuangbo0123/basic | history_study/test.py | test.py | py | 1,059 | python | zh | code | 0 | github-code | 6 |
21490193625 | #
# PyBank
# Ryan Eccleston-Murdock
# 28 November 2020
#
# Purpose: Analyze .csv financial data
#
# Sources:
import os
import csv
in_path = 'Resources'
in_file_name = 'budget_data.csv'
in_csvpath = os.path.join(in_path, in_file_name)
out_path = 'analysis'
out_file_name = 'financial_summary.csv'
out_csvpath = o... | reccleston/python-challenge | PyBank/main.py | main.py | py | 2,272 | python | en | code | 0 | github-code | 6 |
43371065244 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
class Spider:
try:
page = webdriver.Chrome()
url = "https://music.163.com/#/song?id=31654747"
page.get(url)
search = page.find_element_by_id("srch")
search.send_keys("aaa")
search.send_ke... | frebudd/python | autoinput.py | autoinput.py | py | 382 | python | en | code | 2 | github-code | 6 |
25097408304 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 15 09:34:07 2022
@author: maria
"""
import numpy as np
import pandas as pd
from numpy import zeros, newaxis
import matplotlib.pyplot as plt
import scipy as sp
from scipy.signal import butter,filtfilt,medfilt
import csv
import re
#getting the F traces which are classi... | mariacozan/Analysis_and_Processing | functions/functions2022_07_15.py | functions2022_07_15.py | py | 26,567 | python | en | code | 0 | github-code | 6 |
19239185532 | # stack ! 과제는 끝나지 않아!
# 효율 고려 X, 하나 넣고 하나 빼기
import sys
from collections import deque
input = sys.stdin.readline
N = int(input())
S = deque() # 과제 넣어두는 스택
tot = 0 # 총 점수
for _ in range(N):
W = list(map(int, input().split()))
if W[0]: # 새 과제가 있다면
if W[2] == 1: # 지금 바로 끝낼 수 있으면 점수 바로 더해주기
... | sdh98429/dj2_alg_study | BAEKJOON/stack/b17952.py | b17952.py | py | 878 | python | ko | code | 0 | github-code | 6 |
22933846621 | from cryptopals.set1.common import recover_xor_key
def test(hex_strings, expected):
english_score = {
score: text for key, score, text in [
recover_xor_key(hex_string.decode('hex'))
for hex_string in hex_strings
]
}
best_score = min(english_score)
return engli... | ericnorris/cryptopals-solutions | cryptopals/set1/challenge_04.py | challenge_04.py | py | 341 | python | en | code | 0 | github-code | 6 |
17441173344 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import streamlit as st
import ptitprince as pt
def scatter_plot(df,fig):
hobbies = []
for col in df.columns:
hobbies.append(col)
print(col)
st.title(" Scatter Plot")
hobby = st.selectbox("X-axis: ", hobbies)
#... | imsanjoykb/Data-Analytics-Tool-Development | apps/graphs.py | graphs.py | py | 4,249 | python | en | code | 3 | github-code | 6 |
10159507438 | # 0 1 2 3 4
# 5 6 7 8 9
# 0 1 2 3 4
# 5 6 7 8 9
def rosy():
counter=0
for rows in range(1,3):
for col in range(0, 5):
print(counter,end=' ')
counter += 1
print()
rosy()
rosy()
| suchishree/django_assignment1 | python/looping/assignment 3/no6.py | no6.py | py | 228 | python | en | code | 0 | github-code | 6 |
32470859712 | #숫자 카드 2
from bisect import bisect_left, bisect_right
def binary(x):
start = bisect_left(data_n, x)
end = bisect_right(data_n, x)
return end - start
n = int(input())
data_n = sorted(list(map(int, input().split())))
m = int(input())
data_m = list(map(int, input().split()))
for x in data_m:
print(bina... | JinDDung2/python-pratice | BOJ/binary/10816.py | 10816.py | py | 345 | python | en | code | 0 | github-code | 6 |
38701948852 | #coding=utf8
import config
import json
import sys, time
py3k = sys.version_info.major > 2
import os.path
import urllib
if py3k:
from urllib import parse as urlparse
else:
import urlparse
def get_one():
return config.dbconn().fetch_rows('http', condition={'checked': 0}, order="id asc", limit="1", fetchone=True)
de... | 5alt/ZeroExploit | parser.py | parser.py | py | 2,452 | python | en | code | 4 | github-code | 6 |
26829773618 |
#######################################
# This file computes several characteristics of the portage graph
#######################################
import math
import sys
import core_data
import hyportage_constraint_ast
import hyportage_data
import utils
import graphs
import host.scripts.utils
from host.scripts impor... | HyVar/gentoo_to_mspl | host/statistics/statistics.py | statistics.py | py | 14,279 | python | en | code | 10 | github-code | 6 |
32646505991 | #!/usr/bin/python
class NodeVisitor(object):
def visit(self, node):
method = 'visit_' + node.__class__.__name__
visitor = getattr(self, method, self.generic_visit)
return visitor(node)
def generic_visit(self, node): # Called if no explicit visitor function exists for a node.
... | Andrzej97/kompilatory | TypeChecker_v3.py | TypeChecker_v3.py | py | 6,834 | python | en | code | 0 | github-code | 6 |
33680275570 | import numpy as np
from numpy import dtype, uint8
class lena(object):
def __init__(self, pallete):
self.pallete = pallete
# Open the file for reading
def read_file(self, my_file):
stream = open(my_file, 'rb')
img = np.fromfile(stream, dtype=(uint8, 3))
return img
# Cre... | ortizub41/lena | lena/lena.py | lena.py | py | 4,071 | python | en | code | 1 | github-code | 6 |
33846054954 | from jwst.stpipe import Step
from jwst import datamodels
from ..datamodels import TMTDarkModel
from . import dark_sub
from ..utils.subarray import get_subarray_model
__all__ = ["DarkCurrentStep"]
class DarkCurrentStep(Step):
"""
DarkCurrentStep: Performs dark current correction by subtracting
dark curr... | oirlab/iris_pipeline | iris_pipeline/dark_current/dark_current_step.py | dark_current_step.py | py | 1,857 | python | en | code | 0 | github-code | 6 |
35116816269 | # Import the libraries
import cv2
import numpy as np
import math as m
from matplotlib import pyplot as plt
#-- PRE-PROCESSING --
# Read the image
nimg = 'image1' # Change 'image1' for the name of your image
image = cv2.imread(nimg + '.jpg')
# Extract the RGB layers of the image
rgB = np.matrix(image[:,:,0]) # Blue
rGb... | selenebpradop/basic_exercises-computer_vision | contours_of_an_image_v2.py | contours_of_an_image_v2.py | py | 2,461 | python | en | code | 0 | github-code | 6 |
34965304781 | """
递归动态规划
"""
class Solution(object):
def canJump(self,nums):
if len(nums) == 1:
return True
for i in range(1,nums[0]+1):
if i <= len(nums):
if self.canJump(nums[i:]):
return True
else:
return True
retur... | qingyuannk/phoenix | dp/jumpgame.py | jumpgame.py | py | 2,117 | python | en | code | 0 | github-code | 6 |
9200799444 | from fastapi import status, HTTPException, Depends
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from datetime import datetime, timedelta
from sqlalchemy.orm import Session
from .schema import TokenData
from app import database, models
from .config import env
SECRET_KEYS = env.SECR... | Ichi-1/FastAPI-example-api | app/oauth2.py | oauth2.py | py | 1,581 | python | en | code | 0 | github-code | 6 |
25575181895 | from typing import List
class Solution:
def rotate(self, nums: List[int], k: int) -> None:
new_array = [1]*len(nums)
for i in range(len(nums)):
new_p = (i - k)%len(nums)
new_array[i] = nums[new_p]
return new_array
s = Solution()
l = [1,2,3,4,5,6,7]
x = s.rotate(l,... | ThadeuFerreira/python_code_challengers | rotate_array.py | rotate_array.py | py | 331 | python | en | code | 0 | github-code | 6 |
72332661307 | #!/usr/bin/env python3
import os
import configparser
from mongoengine.connection import connect
from .data_model import Post
from .render_template import render
from .mailgun_emailer import send_email
def email_last_scraped_date():
## mongodb params (using configparser)
config = configparser.ConfigParser()
... | alysivji/reddit-top-posts-scrapy | top_post_emailer/__init__.py | __init__.py | py | 917 | python | en | code | 14 | github-code | 6 |
26239060381 | #!/usr/bin/env python3
'''
This script will incement the major version number of the specified products.
It is assumed that the version number in the label itself is correct, and the version
just needs to be added on to the filename.
Usage:
versioning.py <label_file>...
'''
import re
import os
import sys
from bs4 im... | sbn-psi/data-tools | orex/pds4-tools/versioning.py | versioning.py | py | 5,949 | python | en | code | 0 | github-code | 6 |
35484692669 | import os
import string
def file_check(filepath, mode):
if os.path.exists(filepath):
if os.path.isfile(filepath):
f = open("%s" % filepath, "%s" % mode)
return f
else:
return "Incorrect file"
else:
return "Incorrect file"
print(file_check("kivy_tes... | TaffetaEarth/homework_python | os_work.py | os_work.py | py | 1,849 | python | en | code | 0 | github-code | 6 |
4143416632 | '''A module for demo-ing exceptions'''
import sys
from math import log
def convert_to_int(s):
x = -1
try:
return int(s)
print("Conversion succeeded! x =", x)
except (ValueError,TypeError) as e:
print("Conversion error: {}".format(str(e)), file=sys.stderr)
return -1
def string_log(s):
v = convert_to_int(s)... | gitsana/Python_Tutorial | M6-Exception Handling/exceptional2.py | exceptional2.py | py | 764 | python | en | code | 0 | github-code | 6 |
74750166267 | from src.components import summarizer
from celery import Celery
from celery.utils.log import get_task_logger
from EmailSender import send_email
logger = get_task_logger(__name__)
celery = Celery(
__name__, backend="redis://127.0.0.1:6379", broker="redis://127.0.0.1:6379"
)
@celery.task(name="summarizer")
def Gma... | SVijayB/Gist | scripts/flask_celery.py | flask_celery.py | py | 816 | python | en | code | 4 | github-code | 6 |
21025178712 | #!/usr/bin/env python3
import logging
import sys
from ev3dev2.motor import OUTPUT_A, OUTPUT_B, OUTPUT_C, MediumMotor
from ev3dev2.control.rc_tank import RemoteControlledTank
log = logging.getLogger(__name__)
class TRACK3R(RemoteControlledTank):
"""
Base class for all TRACK3R variations. The only difference ... | ev3dev/ev3dev-lang-python-demo | robots/TRACK3R/TRACK3R.py | TRACK3R.py | py | 2,002 | python | en | code | 59 | github-code | 6 |
25293805211 | import unittest
from task import fix_encoding
expected_content = """Roses are räd.
Violets aren't blüe.
It's literally in the name.
They're called violets.
"""
filename = "example.txt"
output = "output.txt"
class TestCase(unittest.TestCase):
def setUp(self) -> None:
with open(filename, "w") as f:
... | DoctorManhattan123/edotools-python-course | Strings, inputs and files/file encoding/tests/test_task.py | test_task.py | py | 604 | python | en | code | 0 | github-code | 6 |
71344821309 | #Inicio do While
opcao = -1
#Variaveis do Saque, máximo do saque 500 por saque e até 3x por dia
limiteSaque = 500
saqueDia = 3
valorSacado = 0
#Variaveis do Saldo
saldo = float(0)
#Variaveis Deposito
deposito = float(0)
while opcao != 0:
opcao = int(input(" [1] Para sacar \n [2] Para depositar \n ... | Dnx0/trilha-python-dio | sistemaBancario.py | sistemaBancario.py | py | 1,631 | python | pt | code | 1 | github-code | 6 |
30969861276 | import matplotlib.pyplot as plt
import time
import numpy as np
from PIL import Image
class graphic_display():
def __init__(self):
self.um_per_pixel = 0.5
self.cm_hot = plt.get_cmap('hot')
self.cm_jet = plt.get_cmap('jet')
self.cm_vir = plt.get_cmap('virid... | peterlionelnewman/flow_lithographic_printer | Graphic_display.py | Graphic_display.py | py | 6,222 | python | en | code | 1 | github-code | 6 |
33800125828 | import sys
sys.setrecursionlimit(10000)
def dfs(d, v, visited):
visited[v]= True
for i in d[v]:
if not visited[i]:
dfs(d, i, visited)
n,m = map(int, input().split())
d = [[] for _ in range(n+1)]
visited = [False]*(n+1)
result = 0
for _ in range(m):
u,v = map(int, input().split())
... | devAon/Algorithm | BOJ-Python/boj-11724_연결요소의개수.py | boj-11724_연결요소의개수.py | py | 459 | python | en | code | 0 | github-code | 6 |
14594327515 | import tensorflow as tf
import json
from model_provider import get_model
from utils.create_gan_tfrecords import TFRecordsGAN
from utils.augment_images import augment_autoencoder
import os
import tensorflow.keras as K
import datetime
import string
from losses import get_loss, gradient_penalty
import argparse
physical_d... | AhmedBadar512/Badr_AI_Repo | cycle_gan_train.py | cycle_gan_train.py | py | 18,298 | python | en | code | 2 | github-code | 6 |
43005467228 | """
Utility functions
"""
import torch
import matplotlib as mpl
import numpy as np
import math
mpl.use('Agg')
from matplotlib import pyplot as plt
def sin_data(n_train, n_test, noise_std, sort=False):
"""Create 1D sine function regression dataset
:n_train: Number of training samples.
:n_test: Number of t... | weiyadi/dlm_sgp | conjugate/utils.py | utils.py | py | 4,966 | python | en | code | 2 | github-code | 6 |
24603935810 | with open("inputs/day14.txt", 'r') as fh:
lines = fh.readlines()
schedules = {}
for line in lines:
parts = line.split()
name = parts[0]
speed = int(parts[3])
duration = int(parts[6])
rest = int(parts[13])
schedule = []
while len(schedule) < 2503:
schedule += [speed, ] * duratio... | neilo40/adventofcode2015 | day14.py | day14.py | py | 1,111 | python | en | code | 0 | github-code | 6 |
20186345178 | # Import pakages
import torch
import torch.nn as nn
import gym
import os
import torch.nn.functional as F
import torch.multiprocessing as mp
import numpy as np
# Import python files
from utils import v_wrap, set_init, push_and_pull, record
from shared_adam import SharedAdam
os.environ["OMP_NUM_THREADS"] = "1"
os.enviro... | smfelixchoi/MATH-DRL-study | 6.A3C/discrete_A3C.py | discrete_A3C.py | py | 4,973 | python | en | code | 1 | github-code | 6 |
3129533999 | import numpy as np
data = [[]]
with open("data.txt","r") as fichier:
for line in fichier.read().splitlines():
if line:
data[-1].append(line)
else:
data.append([])
nb_stacks = int(data[0][-1][-2])
stacks = [[]]
pile_max = len(data[0])-1
for i in range(nb_stacks):
stacks.... | Schtroumpfissime/AdventOfCode2022 | 5/main.py | main.py | py | 1,276 | python | en | code | 0 | github-code | 6 |
42742926031 | from models.models import VatsimPilot
from data_reader import reader
def main():
print("VATSIM LIB")
json_data = reader.init()
vgs = reader.get_vatsim_general(json_data)
# print(vgs)
pilots = reader.get_vatsim_pilots(json_data)
print(f"number of pilots this update: {len(pilots)}")
fligh... | ahuimanu/vatsimlib | run.py | run.py | py | 472 | python | en | code | 1 | github-code | 6 |
2654980341 | from Tkinter import *
root = Tk()
frame = Frame(root, bd=2, relief=SUNKEN)
frame.grid_rowconfigure(0, weight=1)
frame.grid_columnconfigure(0, weight=1)
xscrollbar = Scrollbar(frame, orient=HORIZONTAL)
xscrollbar.grid(row=1, column=0, sticky=E+W)
yscrollbar = Scrollbar(frame)
yscrollbar.grid(row=0, column=1, sticky=N... | sbobovyc/DCS | legacy/DCS2_py/examples/canvas_scrollbox.py | canvas_scrollbox.py | py | 600 | python | en | code | 1 | github-code | 6 |
71470012027 | from lxml import etree
from xml.etree import ElementTree
def get_text_from_file(xml_file):
tree = etree.parse(xml_file)
root = tree.getroot()
for element in root.iterfind('.//para'):
for ele in element.findall('.//display'):
parent = ele.getparent()
parent.remove(ele)
... | ayandeephazra/Natural_Language_Processing_Research | PaperDownload/papers/process_xml.py | process_xml.py | py | 349 | python | en | code | 2 | github-code | 6 |
13461686812 | """
Given an array of words and a length L, format the text such that each line has exactly L characters and is fully (left and right) justified.
You should pack your words in a greedy approach; that is, pack as many words as you can in each line. Pad extra spaces ' ' when necessary so that each line has exactly L cha... | szhongren/leetcode | 68/main.py | main.py | py | 3,017 | python | en | code | 0 | github-code | 6 |
23704854533 | #!/usr/bin/env python3
import json
import os
import requests
import datetime
base_url="https://raw.githubusercontent.com/threatstop/crl-ocsp-whitelist/master/"
uri_list=['crl-hostnames.txt','crl-ipv4.txt','crl-ipv6.txt','ocsp-hostnames.txt','ocsp-ipv4.txt','ocsp-ipv6.txt']
dict=dict()
dict['list']=list()
def source_r... | 007Alice/misp-warninglists | tools/generate-crl-ip-list.py | generate-crl-ip-list.py | py | 943 | python | en | code | null | github-code | 6 |
16704497954 | import pickle
import numpy as np
import scipy.io as sio
from library.error_handler import Error_Handler
class Data_Loader:
def load_data_from_pkl(self, filepath_x, filepath_y, ordering="True"):
with open(filepath_x, "rb") as file_x:
x_data = pickle.load(file_x)
with o... | tzee/EKDAA-Release | library/data_loader.py | data_loader.py | py | 2,380 | python | en | code | 2 | github-code | 6 |
70602414269 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 19 11:06:45 2020
@author: xchen
"""
## required packages
# system imports
import os
import sys
from termcolor import colored
from colorama import init
# data manipulation and data clean
from nltk.corpus import stopwords
# sklearn
from sklearn imp... | linnvel/text-classifier-master | ML.py | ML.py | py | 5,072 | python | en | code | 0 | github-code | 6 |
21379925078 | from bogos import ScrapeBogos
import configparser
import twitter
def lambda_handler(event, context):
config = configparser.ConfigParser()
config.read('config.ini');
keywords = ''
keywordMultiWord = False
url = ''
prefixText = ''
postfixText = ''
noBogoText = ''
print('Config values:')
if 'BOGO' n... | DFieldFL/publix-bogo-notification | BogoMain.py | BogoMain.py | py | 2,732 | python | en | code | 2 | github-code | 6 |
41236509775 | from django.urls import path
from rest_framework.routers import DefaultRouter
from . import views
urlpatterns = [
]
router = DefaultRouter()
router.register("porcelain", viewset=views.PorcelainView, basename="porcelain")
router.register("dynasty", viewset=views.DynastyView, basename="dynasty")
router.register("Empe... | beishangongzi/porcelain-backend | predict_model/urls.py | urls.py | py | 412 | python | en | code | 0 | github-code | 6 |
36064906771 | '''
Created on 2017-1-13
@author: xuls
'''
from PIL import Image
import os
PATH2=os.path.dirname(os.getcwd())
def classfiy_histogram(image1,image2,size = (256,256)):
image1 = image1.resize(size).convert("RGB")
g = image1.histogram()
image2 = image2.resize(size).convert("RGB")
s = ima... | xulishuang/qichebaojiadaquan | src/script/sameas.py | sameas.py | py | 1,917 | python | en | code | 0 | github-code | 6 |
162022841 |
import time
from selenium import webdriver
from django.contrib.staticfiles.testing import StaticLiveServerTestCase
from .pages.login import LoginPage
class ManageUserTestCase(StaticLiveServerTestCase):
def setUp(self):
self.browser = webdriver.Firefox()
self.browser.implicitly_wait(20)
s... | pophils/TaskManagement | yasanaproject/tests/functional/test_manage_user.py | test_manage_user.py | py | 2,447 | python | en | code | 1 | github-code | 6 |
34838799506 | import csv
import pandas as pd
cerealFile = open('cereal.csv')
cerealReader = csv.reader(cerealFile)
cerealList = list(cerealReader)
df = pd.read_csv('cereal.csv')
for row in cerealList:
print(row[0])
#print(df.info())
print(df['calories'].dtypes)
| kamiltrzcinski/python | zad7.py | zad7.py | py | 257 | python | en | code | 0 | github-code | 6 |
1175929683 | #!/usr/bin/env python3
"""
T9 Spelling problem
for Google Code Jam Africa 2010
Qualification
Link to problem description:
http://code.google.com/codejam/contest/351101/dashboard#s=p2
author:
Chris Nitsas
(nitsas)
language:
Python 3.2.1
date:
April, 2012
usage:
$ python3 runme.py sample.in
or
$ runme.py sample.in
... | nitsas/codejamsolutions | T9 Spelling/runme.py | runme.py | py | 2,291 | python | en | code | 1 | github-code | 6 |
20832937788 | import re
def open_fasta_file(file_address):
file = open(file_address, 'r')
text = file.read()
file.close()
return text
def record_counter(file_address):
txt = open_fasta_file(file_address)
counter = txt.count('>')
return counter
def dna_dict_creator(file_address):
txt = open_fasta... | saeedrafieyan/bioinformatics | final.py | final.py | py | 6,224 | python | en | code | 0 | github-code | 6 |
34608371364 | import os.path
import json
import os
def readDIPfile(parent_path):
edges = {}
index = 0
xmlfilepath = os.path.join(parent_path, r'data\Hsapi20170205CR.txt')
f = open(xmlfilepath)
lines = f.readlines()
for line in lines:
line_list = line.strip("\n").split("\t")
if line_list[9] ==... | LittleBird120/DiseaseGenePredicition | DiseaseGenePredicition/Human_COVID_node2vec20210315/data_processing/readHumanProtein.py | readHumanProtein.py | py | 919 | python | en | code | 0 | github-code | 6 |
1435864274 | import math
import numpy as np
import cv2
from matplotlib import pyplot as plt
def Euclidean_Distance(pointA, pointB):
ans = ((pointA[0] - pointB[0])**2+(pointA[1] - pointB[1])**2)**0.5
return ans
def Flat_Kernel(distance, bandwidth, point_number):
inRange = []
weight = np.zeros((point_numb... | laitathei/algorithm_implemention | machine_learning/Mean_Shift/utils.py | utils.py | py | 1,331 | python | en | code | 0 | github-code | 6 |
474990887 | """
*Author : Revanth Sai Nandamuri
*GitHUB : https://github.com/RevanthNandamuri1341b0
*Date of update : 25 August 2021
*Project name : Finding missing number
*Domain : PYTHON
*Description : You are given an array of positive numbers
from 1 to n, such that all numbers from
1 to n are pr... | RevanthNandamuri1341b0/PYTHON-COMPY | amazon_interview_question1.py | amazon_interview_question1.py | py | 791 | python | en | code | 0 | github-code | 6 |
73900222588 | # coding: utf-8
import unittest
import os
from django.conf import settings
from studitemps_storage.path import guarded_join
from studitemps_storage.path import guarded_safe_join
from studitemps_storage.path import guarded_join_or_create
from studitemps_storage.path import FileSystemNotAvailable
ABSPATH = os.path.a... | STUDITEMPS/studitools_storages | studitemps_storage/tests/suites/path.py | path.py | py | 3,073 | python | en | code | 0 | github-code | 6 |
21114723474 | import os
from dotenv import load_dotenv, dotenv_values
# FOR LOG
import logging
from logging.handlers import RotatingFileHandler
import datetime
import math
import json
# Load environmental variable
config = dotenv_values(".env")
# --------------------------------------------------- LOGGING ---------------... | Splroak/add_member_telegram | src/test_BatchProcessor.py | test_BatchProcessor.py | py | 2,365 | python | en | code | 0 | github-code | 6 |
13489533801 | import json
import requests
resource = requests.post('http://216.10.245.166/Library/DeleteBook.php',
json = {"ID" : "ashish123227"}, headers={'Content-Type' : 'application/json' }
)
assert resource.status_code == 200 , f'the api failed with an error messages as : {resource.text}'
response... | bhagatashish/APT_Testing | delete_book.py | delete_book.py | py | 462 | python | en | code | 0 | github-code | 6 |
73795089468 | import json
import os
from flask import current_app, redirect, request, Response
from . import blueprint
@blueprint.route("/routes")
def routes():
data = {
"name": current_app.config["name"],
"version": current_app.config["version"],
"routes": {
"api": [
"/api/... | cumbof/igv-flask | igv/routes/basics.py | basics.py | py | 1,385 | python | en | code | 0 | github-code | 6 |
1066446639 | """
This module defines the interface for communicating with the sound module.
.. autoclass:: _Sound
:members:
:undoc-members:
:show-inheritance:
"""
import glob
import os
import platform
import subprocess
from functools import partial
from opsoro.console_msg import *
from opsoro.sound.tts import TTS
from o... | OPSORO/OS | src/opsoro/sound/__init__.py | __init__.py | py | 4,683 | python | en | code | 9 | github-code | 6 |
25754911493 | import os
from multiprocessing import freeze_support,set_start_method
import multiprocessing
from Optimization import Optimization
from GA import RCGA
from PSO import PSO
if __name__=='__main__':
from datetime import datetime
start = datetime.now()
print('start:', start.strftime("%m.%d.%H.%M"))
multipr... | zhengjunhao11/model-updating-framework | program_framework/Input.py | Input.py | py | 1,002 | python | en | code | 1 | github-code | 6 |
6830398340 | #!/usr/bin/env python
#!/usr/bin/python
from tkinter import *
root = Tk() # creates a blank window named root
top_frame = Frame(root)
top_frame.pack()
bottom_frame = Frame(root)
bottom_frame.pack(side=BOTTOM) # since the bottom frame is specified to be, at the bottom the top is at the top
butto... | judas79/TKinter-git-theNewBoston | Tkinter - 02 - Organizing your Layout/Tkinter - 02 - Organizing your Layout.py | Tkinter - 02 - Organizing your Layout.py | py | 2,170 | python | en | code | 0 | github-code | 6 |
73416700989 |
class Verity:
def input_boolean():
print("X", "Y", "Z", "Rezult" )
print("*"*15)
for X in range(2):
for Y in range(2):
for Z in range(2):
rezult=not(X or Y or Z)== ((not X)and (not Y) and (not Z))
print(f"{X} {Y} {Z} - {... | DenisBaicurov/PracticaPython | exercise2.py | exercise2.py | py | 410 | python | en | code | 0 | github-code | 6 |
38938434821 | #!/usr/bin/env python
from sys import argv
fin = open("include/hiponodes.h")
fout0 = open("include/node_declaration.h","w")
fout1 = open("src/node_assignment.cxx","w")
fout1.write("//// File automatically produced by format_hiponodes.py do not make changes here!!\n")
fout1.write('#include "TIdentificatorCLAS12.h"\n')
f... | orsosa/Clas12Ana | format_hiponodes.py | format_hiponodes.py | py | 707 | python | en | code | 0 | github-code | 6 |
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