seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 โ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k โ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
25777861293 | import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.Utils import COMMASPACE, formatdate
# me == my email address
# you == recipient's email address
#assert type(to)==list
def send_mail(to,fro,sub,html,html_text=None):
#to = ['Chacha <sakhawat.sobhan@gmail.... | tanvirraj/hirenow | doc/generic_mail.py | generic_mail.py | py | 2,470 | python | en | code | 1 | github-code | 1 |
15616079630 | import multiprocessing as processing
from multiprocessing import pool,Process
import math
import numpy as np
import gzip
import pickle
import sys
from scipy import integrate
import time,random
import h5py
import threading
import os.path
import _pickle as cpickle
from scipy import spatial
from multiprocessing import Pro... | peraktong/Multi_thread_examples | 0327_calculate_density_Kd_tree_multi_process_doable_v1.py | 0327_calculate_density_Kd_tree_multi_process_doable_v1.py | py | 6,624 | python | en | code | 0 | github-code | 1 |
41407794252 |
# 551. Student Attendance Record I
# https://leetcode.com/problems/student-attendance-record-i/description/
class Solution(object):
def checkRecord(self, s):
"""
:type s: str
:rtype: bool
"""
# use regex
import re
x = re.search('LLL|.*A.*A.*', s)
r... | aszx4510/LeetCode | python/0551-student_attendance_record_i.py | 0551-student_attendance_record_i.py | py | 839 | python | en | code | 0 | github-code | 1 |
26358115895 | from __future__ import print_function, division
####################################################################
###### Copyright (c) 2022-2023 PGEDGE ##########
####################################################################
import argparse, sys, os, tempfile, json, subprocess, getpass... | pgEdge/nodectl | src/pgXX/config-pgXX.py | config-pgXX.py | py | 4,102 | python | en | code | 7 | github-code | 1 |
34108584074 | menu = {
'anhui':{
'luan':{
'shouxian':{
'zhongxing',
'yankou',
'anfeng',
'baoyi'
},
'jinanqu':{
'zhangdian',
'maotanchang',
'muchan'
}
},
'hefei':{
'gaoxin':{
'iflytek',
'autoserver',
'xiaomi'
},
'jingkai':{
'lenovo',
'jd',
'huawei'
... | virualv/studytmp | function&decorator&set/menu3.py | menu3.py | py | 1,161 | python | ur | code | 0 | github-code | 1 |
24680066910 | """
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
"""
class Solution:
def maxDepth(self, root: 'Node') -> int:
ans = 0
if not root:
return 0
def dfs(node,parent,depth):
... | YosefAyele/Leetcode-and-Codeforces-Problems | 0559-maximum-depth-of-n-ary-tree/0559-maximum-depth-of-n-ary-tree.py | 0559-maximum-depth-of-n-ary-tree.py | py | 614 | python | en | code | 2 | github-code | 1 |
70026443555 | import os
import datetime
import argparse
import sys
import shutil
def run():
parser = argparse.ArgumentParser(description="Delete files each period of time")
parser.add_argument("--dir_path", type=str, help="Path to the folder")
parser.add_argument("--period", type=int, help="Period of time in days")
a... | JassielMG/AutoCleanFolder | main.py | main.py | py | 1,778 | python | en | code | 0 | github-code | 1 |
687144439 | from game import game_runner
from game import basic_players
import numpy as np
# What am I going to train on?
# Run basic players against each other and create finalized board vectors.
# With probability 1/2 roll back a move, otherwise take the final board
# target is the winner (if there is one)
# For now don't rol... | btbasham/connect4rl | predict_winner.py | predict_winner.py | py | 754 | python | en | code | 0 | github-code | 1 |
72696725153 | # Competative Programming Question 157 = Counting Sort 2 (From HackerRank)
"""
Counting Sort 2 |
Get the Problem Statement on HackerRank : https://www.hackerrank.com/challenges/countingsort2/problem
And get the solution here, solved in python by me :}
"""
# Author = Abhinav
# Date = 19 January 2022
# Pourpose = Ju... | Brodevil/Competative-Programming | Python/Solved Questions/practise_set_157.py | practise_set_157.py | py | 730 | python | en | code | 3 | github-code | 1 |
22184099208 | """
Simple `GIL` released demo.
"""
import threading
import requests
from ch01.tools import time_it
def simple_request() -> None:
"""Make a simple request"""
response = requests.get("https://www.google.com")
print(f"Response status code: {response.status_code}")
@time_it
def requests_no_threading() ->... | iplitharas/myasyncio | ch01/gil_released_demo.py | gil_released_demo.py | py | 700 | python | en | code | 0 | github-code | 1 |
43535013974 | import argparse
import sys
import os, os.path
import redis
import argparse
import logging, logging.config
from hashlib import md5
argparser = argparse.ArgumentParser()
argparser.add_argument("--data", type=str, required=True)
argparser.add_argument("--db-host", type=str, required=True)
argparser.add_argument("--db-por... | HappyNationHack/team_Help_Desk | scripts/load_data.py | load_data.py | py | 1,742 | python | en | code | 0 | github-code | 1 |
72632864993 | import json
from flask import Flask, render_template, request, jsonify
from sklearn.svm import SVC
from sklearn.feature_extraction.text import CountVectorizer
app = Flask(__name__)
# Load the business guidelines from a JSON file
with open("business_guidelines.json", "r") as f:
guidelines_data = json.load... | Balakumarmd/Ideavalidator | app.py | app.py | py | 1,730 | python | en | code | 0 | github-code | 1 |
17959591498 | # ์ฝ์์ ๊ตฌ๊ฐ ๊ธธ์ด(small)(the length of the interval of a factor)
# ๋ฏผ์๋ ์ด๋ฒ์๋ ๋ฏผ์๋ฅผ ์ํด ์๋ก์ด ๊ฒ์์ ์ค๋นํ๋ค. ๊ท์น์ ๊ฐ๋จํ๋ค.
# ์
๋ ฅ์ผ๋ก ์์ฐ์ N์ด ์ฃผ์ด์ง๋ค. 1๋ถํฐ N๊น์ง์ ์์ฐ์ ์ค์์ ์ฝ์์
# ๊ฐ์๊ฐ ๊ฐ์ฅ ๋ง์ ์์ฐ์์ ์ต์๊ฐ๋ถํฐ ์
๋ ฅ N๊น์ง์ ๊ธธ์ด๋ฅผ ๊ตฌํ์ฌ
# ๋งํ๋ ๊ฒ์ด๋ค. ์ด๋ฒ์๋ ๋ฏผ์๋ฅผ ๋์์ฃผ์
# ์
๋ ฅ: 2<=N<=100,000 | ๊ตฌ๊ฐ์ ๊ธธ์ด๋ฅผ ์ถ๋ ฅํ๋ค.
# method 1
n = int(input())
d = {}
max = 0
if n == 1:
print(1)
else:
... | junes7/python_algorithm | CodeUp/deep_problem/5129.py | 5129.py | py | 965 | python | ko | code | 1 | github-code | 1 |
19902495107 | import numpy as np
def distance(*args):
return np.sqrt(sum(arg**2 for arg in args))
def pol_to_cart(r, incl, azim):
x = r * np.sin(np.radians(incl)) * np.cos(np.radians(azim))
y = r * np.sin(np.radians(incl)) * np.sin(np.radians(azim))
z = r * np.cos(np.radians(incl))
return x, y, z
def cart_t... | kourosh-zarei/GeomKit | packages/utils.py | utils.py | py | 702 | python | en | code | 3 | github-code | 1 |
41149137205 | num = 5
for i in range(1, 11):
print(num, " * ",i, " = ",num * i)
items = ["Apple", "Orange", "Mango", "Banana"]
for item in items:
print(item)
numbers = [21, 43, 56, 3, 54]
for i in numbers:
if i == 3:
print("3 is found!!")
break
else:
print("3 not found")
| naveedeveloper/python | 06_loop.py | 06_loop.py | py | 304 | python | en | code | 0 | github-code | 1 |
4832434614 | # Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name=... | csail-csg/pyverilator | setup.py | setup.py | py | 1,497 | python | en | code | 64 | github-code | 1 |
19142088501 | from . import constants
def get_response(url: str, headers: dict = constants.DEFAULT_HEADERS):
try:
import requests as r
except ImportError:
raise "Not search a requests module."
response = r.get(url=url, headers=headers)
if response.status_code != 200:
raise "Not response co... | PavelKrivorotov/Test_Task_python_04_02_2023 | main/main/utils.py | utils.py | py | 773 | python | en | code | 0 | github-code | 1 |
25623285903 | """
Google Forms Interaction Module
This module provides functionalities to interact with Google Forms, specifically
to fetch responses from a designated form. The primary purpose is to retrieve
sign-up responses, which are then used in the main application for sending out
notifications.
Key Features:
- Authentic... | StevenWangler/snow_day_bot | google_functions/google_forms.py | google_forms.py | py | 4,128 | python | en | code | 0 | github-code | 1 |
32425569605 | from irc.client import Event, ServerConnection
from timmy.db_access import settings
class AuthHandler:
def __init__(self):
self.auth_on_welcome = False
self.auth_type = ""
self.auth_data = ""
self.post_identify = ""
self.post_auth_sent = False
def init(self) -> None:
... | utoxin/TimTheWordWarBot | timmy/event_handlers/auth_handler.py | auth_handler.py | py | 1,205 | python | en | code | 14 | github-code | 1 |
26576207559 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 20 22:47:22 2020
@author: rrajkumar1990
"""
# sorting
# often we get big lists or and we get questions what the port of sorting something
#sorting is a way of arranging things ascending or decending
#very useful for searching and finding anything when we have lists... | rrajkumar1990/Python_DS | Sorting_Bubble_Sort.py | Sorting_Bubble_Sort.py | py | 1,445 | python | en | code | 1 | github-code | 1 |
43645610632 | import pyspark
import pyspark.sql
from pyspark.sql import *
from pyspark.sql.functions import *
import json
import urllib
import argparse
conf = pyspark.SparkConf().setMaster("local[*]").setAll([
('spark.jars.packages', 'com.databricks:spark-xml_2.11:0.8.0'),
... | epfl-dlab/WikiPDA | PaperAndCode/TopicsExtractionPipeline/GetBeta.py | GetBeta.py | py | 1,797 | python | en | code | 10 | github-code | 1 |
11785008616 | # NN ใฉใคใใฉใชใไฝฟใใใใใใใซๅคๆด
# 7763c160b4ec1caa99718cd3c865339227a1908e
import numpy as np
import matplotlib.pyplot as plt
def main():
# ใใกใคใซใใใใญใใใใๅคใ่ชญใฟ่พผใ
true_x = []
predict_x = []
with open("data/tmp_result.csv") as fileobj:
while True:
line = fileobj.readline()
if line:
... | eipuuuuk825/Puniki4 | python/src/plot_scatter.py | plot_scatter.py | py | 1,885 | python | en | code | 0 | github-code | 1 |
27836865388 | import regex as re
from bs4 import BeautifulSoup
import requests
import requests_futures
import aiohttp
import asyncio
from requests_futures.sessions import FuturesSession
import tree
import json
trees = []
valid_regex = r"^https?\:\/\/([\w\.]+)wikipedia.org\/wiki\/([\w]+\_?)+"
links = dict()
loop = asyncio.get_even... | LyudmilaTretyakova/testtask | script.py | script.py | py | 4,831 | python | en | code | 0 | github-code | 1 |
17446433552 | """Tests for the config API."""
import unittest
from pygame_assets.exceptions import NoSuchConfigurationParameterError
from pygame_assets.configure import Config, ConfigMeta
from pygame_assets.configure import get_config, config_exists, remove_config
from pygame_assets.configure import get_environ_config, set_environ... | florimondmanca/pygame-assets | pygame_assets/tests/test_configure.py | test_configure.py | py | 6,870 | python | en | code | 2 | github-code | 1 |
38177168817 | import argparse
from dis import dis
import gym
import numpy as np
from itertools import count
import pyximport; pyximport.install()
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions import MultivariateNormal
import matplotlib.pyplot as plt
import ... | sashankmodali/CS593-Robotics | Assignment 4/Continuous/modified-gym-env/train_model.py | train_model.py | py | 6,564 | python | en | code | 0 | github-code | 1 |
23162812764 | """
่ฑๅถๅไฝไธๅ
ฌๅถๅไฝไบๆข
1่ฑๅฏธ=2.54ๅ็ฑณ
"""
a = float(input('่ฏท่พๅ
ฅ้ฟๅบฆ๏ผ'))
unit = input('่ฏท่พๅ
ฅๅไฝ๏ผ')
if unit == '่ฑๅฏธ':
print('%d่ฑๅฏธ็ญไบ%dๅ็ฑณ' % (a, a * 2.54))
elif unit == 'ๅ็ฑณ':
print('%dๅ็ฑณ็ญไบ%d่ฑๅฏธ' % (a, a / 2.54))
else:
print('่ฏท่พๅ
ฅๆญฃ็กฎ็ๅไฝ')
| liuyanchen1994/learn-Pyhon-100Days | Day3/่ฑๅถๅไฝไธๅ
ฌๅถๅไฝไบๆข.py | ่ฑๅถๅไฝไธๅ
ฌๅถๅไฝไบๆข.py | py | 327 | python | zh | code | 1 | github-code | 1 |
6048712734 | from app.visual_detector.workers import (
FrameReaderThread, TowerDetectorThread, ComponentDetectorThread, DefectDetectorThread,
DefectTrackingThread, ResultsProcessorThread, TiltDetectorThread, DumperClassifierThread,
WoodCracksDetectorThread
)
from app.visual_detector.defect_detectors import (
TowerDe... | EvgeniiTitov/defect_detection | app/visual_detector/model.py | model.py | py | 11,192 | python | en | code | 0 | github-code | 1 |
37639058519 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
import sys
import argparse
__author__ = 'menghao'
__mail__ = 'haomeng@genome.cn'
bindir = os.path.abspath(os.path.dirname(__file__))
pat1 = re.compile('^\s*$')
sys.path.append(bindir + '/../lib')
from common import parser_fasta
complement = {'A':'T','... | whenfree/Rosalind | Locating_Restriction_Sites/Locating_Restriction_Sites.py | Locating_Restriction_Sites.py | py | 1,287 | python | en | code | 0 | github-code | 1 |
34007168475 | # ไปใพใงไฝฟใฃใๆๅญใฎไธญใง**ๆๅคง**ใฎๆๅญ+1ใพใงไฝฟใใ
from itertools import zip_longest
N = int(input())
# def convert_to_normal(s):
# is_visited = [0]*26
# converted = ["_"]*26
# x = 0
# for s_i in s:
# num = ord(s_i) - ord('a')
# if is_visited[num]:
# continue
# is_visited[num] = 1
# ... | yojiyama7/python_competitive_programming | atcoder/else/panasonic_2020/d_string_equivalence.py | d_string_equivalence.py | py | 1,547 | python | en | code | 0 | github-code | 1 |
16547812246 | import requests
import sys
import json
def post_predict(host:str):
'''
Sends an HTTP POST request to the /predict endpoint.
'''
proto = ''
if not host.startswith('http'):
proto = 'http://'
with open('manualtests/manual_predict_data.json', 'r') as f:
data = json.loads(f.read... | pugad/ml-golf-demo-app | manualtests/predict_manual.py | predict_manual.py | py | 667 | python | en | code | 0 | github-code | 1 |
5065049591 | """
spiel.segmentation.features
Handles featurization of strings for segmenters
"""
import re
from spiel import levenshtein
from spiel.levenshtein import INSERT_SYMBOL
from spiel.util import pad
class FeaturizationException(Exception):
"""Raises for an error in segmentation"""
class Featurizer:
"""
Use... | adoxography/SPieL | spiel/segmentation/features.py | features.py | py | 7,559 | python | en | code | 1 | github-code | 1 |
18161161348 | import pandas
from recordlinkage.preprocessing import clean
d = {'col1': ['marry - a', 'kudo::'], 'col2': ['nam vinh', 'okee-']}
df = pandas.DataFrame(data=d)
s = pandas.Series(df['col1'])
df['col1'] = clean(s)
print(df)
df['col1'][0] = "b"
print(df) | aduyphm/data-integration-20212 | DataHandle/test.py | test.py | py | 252 | python | en | code | 0 | github-code | 1 |
26730099774 | import sys
def suffix_array(seq):
dict = {}
i = 0
while len(seq) > 0:
dict[seq] = i
i += 1
seq = seq[1:]
seqs = list(dict.keys())
indexes = list(dict.values())
zipped = sorted(zip(seqs, indexes))
tuples = zip(*zipped)
list1, list2 = [list(tuple) for ... | wolffj97/code_check | codeChallenges/multiple_pattern_matching.py | multiple_pattern_matching.py | py | 4,603 | python | en | code | 0 | github-code | 1 |
22357222228 | #coding=utf-8
'''
#import urllib
#import urllib.request
#import urllib.parse
import requests
URL_IP = 'http://httpbin.org/ip'
URL_GET = 'http://httpbin.org/get'
def use_simple_requests():
response = requests.get(URL_IP)
print('>>>Response Headers:')
print(response.headers)
print('>>>Response Body:')
... | Handsome2Hu/py | ไธชไบบๅญฆไน /RequestsTest.py | RequestsTest.py | py | 4,842 | python | en | code | 0 | github-code | 1 |
73004553633 | from .backend import backend as bd
import numpy as np
import os
import time
import fdtd_1d as f
import matplotlib.pyplot as plt
from .constants import c0, BLUE, CYAN, TEAL, ORANGE, RED, MAGENTA, GREY
from werkzeug.utils import cached_property
from multiprocessing import Pool
color_spec = [BLUE, CYAN, TEAL, ORANGE... | HaneWall/FDTD | fdtd_1d/benchmarks.py | benchmarks.py | py | 43,827 | python | en | code | 2 | github-code | 1 |
15091010369 | import json
import os
import time
from models import Downloader, User
SETTINGS_FILE = "settings.json"
# Create history file if it does not exist
if not os.path.exists("history.txt"):
with open("history.txt", "w") as f:
f.write("")
# Check if the JSON file exists
if os.path.exists(SETTINGS_FILE):
# If... | ahmethakanbesel/alms-video-indirme-araci | app.py | app.py | py | 3,731 | python | en | code | 2 | github-code | 1 |
11357000023 | import pygame
class Heart(pygame.sprite.Sprite):
def __init__(self, imgfile, hp, pos=[]):
super().__init__()
self.heart_img = pygame.image.load(imgfile)
self.rect = self.heart_img.get_rect()
self.pos = pos
self.HP = hp
self.speed = 7
self.Invincible = 0 #ๅๅฐๆป... | boaoqian/undertale_fight_system | Heart.py | Heart.py | py | 662 | python | en | code | 1 | github-code | 1 |
42758230743 | import keras
from keras.models import Sequential
from keras.layers import Dense
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
#่ฎพ็ฝฎ้ๆบๆฐ็งๅญ
np.random.seed(7)
#ๆฐๆฎ่ทฏๅพ
data_file="pima-indians-diabetes.csv"
#ๅฏผๅ
ฅๆฐๆฎ
dataset=np.loadt... | renxingkai/KerasDLDemo | chapter05_Evaluate/KFold.py | KFold.py | py | 1,367 | python | en | code | 1 | github-code | 1 |
1704636938 | import sys
input = sys.stdin.readline
def dfs(x,y):
#์ ํ ์ข ์ฐ ์ฐ์ ์ฐํ ์ข์ ์ขํ
dy = [1,-1,0,0,1,-1,1,-1]
dx = [0,0,-1,1,1,1,-1,-1]
graph[x][y] = 0
for i in range(8):
nx = x + dx[i]
ny = y + dy[i]
if(0 <= nx < h and 0 <= ny < w and graph[nx][ny] == 1):
dfs(nx,ny)
while True:
w, h = map(int,... | SunghunKim98/Algorithm_Study | sprint09/KMS/FW/BOJ_4963.py | BOJ_4963.py | py | 584 | python | en | code | 0 | github-code | 1 |
29437692374 | d = dict()
for _ in range(int(input())):
mot = ''.join(sorted(input()))
if mot not in d:
d[mot] = 1
else:
d[mot] += 1
d = sorted(d.items(), key = lambda x : x[1], reverse = True)
print(d[0][1]) | MaximeGloesener/CompetitiveProgramming | csacad/anagram.py | anagram.py | py | 226 | python | en | code | 0 | github-code | 1 |
8059135342 | import pyttsx3
import speech_recognition as sr
import datetime
import wikipedia
import webbrowser
print("READ THIS")
print("WHAT YOUR JARVIS CAN DO")
print("Your Jarvis can search in chrome\n can summarize wikipedia\n can open google and youtube\n can show you IPL score\n can open National Geographic\n can recommend... | sarthak-dhonde/jarvis | Jarvis.py | Jarvis.py | py | 9,194 | python | en | code | 1 | github-code | 1 |
26355670681 | import random
import json
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader, random_split, ConcatDataset
import pandas as pd
import os
import torchaudio
from dataset import snoring_preprocess
from dataset import dataset_utils
# TODO: some inspections for arguments
# TODO: ABC? (to a ... | wdwlinda/Snoring_Detection_full | dataset/dataset_builder.py | dataset_builder.py | py | 5,871 | python | en | code | 0 | github-code | 1 |
3975828154 | import numpy as np
import torch
from torch._C import dtype
import torch.nn as nn
import random
from filters import BP_filter
import matplotlib.pyplot as plt
class Random_shift(nn.Module):
# Randomly shifts the track
def __init__(self, shift_max):
super().__init__()
self.shift_max = shif... | GianMarcoZampa/Progetto-DACLS | augmentation.py | augmentation.py | py | 2,144 | python | en | code | 0 | github-code | 1 |
15952571818 | import socket
from time import sleep
# Keyence Scanner ASCII Commands ------------------------------------------------------
"""
Error Format: ER,COMMAND,ERROR_CODE
Error Codes:
------------
00 Undefined command received
01 Mismatched command format (Invalid number of parameters)
02 The parameter 1 value exceeds... | brianteachman/serial_printer_controller | sr1000.py | sr1000.py | py | 4,206 | python | en | code | 0 | github-code | 1 |
23568782093 | from models.commands.command_register import command_register
class command_args:
def __init__(self, unique_id: str, name: str, type_var: str, optional_alias = False, required = False, help = False):
self.unique_id = unique_id
self.name = name
self.type_var = self.getType(type_var)
... | brutalzinn/discord-bot-vps-manager | models/commands/command_args.py | command_args.py | py | 538 | python | en | code | 0 | github-code | 1 |
24273901032 | import numpy as np
class SEIRC(object):
""" This class represents the SEIR epdidemiological model with added clinical estimates.
See https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology#The_SEIR_model for the classical SEIR model.
tldr: self.par; self.simulate(); self.result
Th... | kourk0am/epipy | seirc.py | seirc.py | py | 10,972 | python | en | code | 0 | github-code | 1 |
34424513905 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Author : Nam Zeng
# @Time : 2018/12/6 10:38
# @Desc : ็จ็้กฟๆๅผๆณๆๅ็ป่ฟ็ปๅฎ็น็ๆฒ็บฟ
# x0 | y0
# x1 | y1 y10
# x2 | y2 y21 y210
import matplotlib.pyplot as plt
import numpy as np
def newton_interpolate(x, y):
"""
:param x: ็น้็xๅๆ ้x[]
:param y: ็น้็yๅๆ ้y... | NAMZseng/numerical-analysis | 5_newton_Interpolation.py | 5_newton_Interpolation.py | py | 1,620 | python | en | code | 0 | github-code | 1 |
35871182531 | #!usr/bin/env python
# coding:utf-8
###############################################################################################
#THIS SCRIPT IS SPECIFICALLY CREATED FOR A DNS_EXFILTRATION CHALLENGE IN WHICH THE EXFILTRATED#
#DATA WAS A PNG IN HEXA AS THE CNAME IN THE DNS RESPONSES ON THE CNAME.DOMAIN. IT SHOULD BE ... | totor7/ctf_tools-templates | TEMPLATE-dns_scapy_parser.py | TEMPLATE-dns_scapy_parser.py | py | 1,751 | python | en | code | 0 | github-code | 1 |
38898664379 | # *_*coding:utf-8 *_*
"""
่ฟไธช่ๆฌๆฏ็จๆฅๅ็ผฉๆฐๆฎ๏ผๅๅฐๅ
ๅญๅ ็จ็ใๅ็ผฉๆฐๆฎๆๅ ็งๆนๆณ๏ผ
็ฌฌไธ็ง๏ผ
ๅฝๆไปฌๆ็กฎ็ฅ้่ฆๅ ่ฝฝๆฐๆฎ็่ๅด๏ผไฝฟ็จpd.read_table่ฏปๅๆฐๆฎๆถ๏ผๅฏไปฅ็จๅ
ถไธญ็dtypeๅๆฐๆฅๆๅจๆๅฎ็ฑปๅใๆฏๅฆๆไธๅ็ๆฐๆฎ่ๅด่ฏๅฎๅจ0~255ไนไธญ๏ผ้ฃไนๆไปฌๅฏไปฅๆๅฎไธบnp.uint8็ฑปๅใ
็ฌฌไบ็ง๏ผ
ๅฆๆๆฐๆฎๅๆฐๅคชๅค๏ผๆ่
ไธๆธ
ๆฅๆฐๆฎๅ
ทไฝ่ๅด็่ฏไธ้ขๆฏไธไธช่ๆฌ๏ผๅฏไปฅ่ชๅจๅคๆญ็ฑปๅ๏ผๅนถๆ นๆฎ็ฑปๅไฟฎๆนๆฐๆฎ่ๅดใ
็ฌฌไธ็ง๏ผ
ๆน้ๅค็๏ผๅข้่ฎญ็ปๆจกๅใ
"""
import numpy as np
def reduce_mem_usage(props):
# ่ฎก็ฎๅฝๅๅ
ๅญ
start_mem_... | jiajiewang0326/Grocery | data_compression.py | data_compression.py | py | 3,334 | python | zh | code | 53 | github-code | 1 |
21797734599 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Conjunto de funciones desarrolladas para ser utilizadas en los programas principales
'''
import numpy as np
import torch
import matplotlib.pyplot as plt
from labcomdig import gray2de
from network import *
'''
NUMPY
'''
def transmisorpamV2(Bn,Eb,M,p,L):
"""
[X... | osgofre/MIMO-DL | functions.py | functions.py | py | 20,722 | python | es | code | 1 | github-code | 1 |
30490609484 | import os
os.system('pip3 install lightgbm==2.1.2')
os.system('pip3 install hyperopt')
import pandas as pd
import pickle
import data_converter
import numpy as np
import scipy
from os.path import isfile
import random
import time
from sklearn.model_selection import train_test_split, StratifiedKFold
from sklearn.metrics ... | MetaLearners/NIPS-2018-AutoML-Challenge | src/model.py | model.py | py | 12,004 | python | en | code | 17 | github-code | 1 |
28044202513 | # Project) ์ค๋ฝ์ค Pang ๊ฒ์ ๋ง๋ค๊ธฐ
# [๊ฒ์ ์กฐ๊ฑด]
# 1. ์บ๋ฆญํฐ๋ ํ๋ฉด ์๋์ ์์น, ์ข์ฐ๋ก๋ง ์ด๋ ๊ฐ๋ฅ
# 2. ์คํ์ด์ค๋ฅผ ๋๋ฅด๋ฉด ๋ฌด๊ธฐ๋ฅผ ์์ ์ฌ๋ฆผ
# 3. ํฐ ๊ณต 1 ๊ฐ๊ฐ ๋ํ๋์ ๋ฐ์ด์ค
# 4. ๋ฌด๊ธฐ์ ๋ฟ์ผ๋ฉด ๊ณต์ ์์ ํฌ๊ธฐ 2 ๊ฐ๋ก ๋ถํ , ๊ฐ์ฅ ์์ ํฌ๊ธฐ์ ๊ณต์ ์ฌ๋ผ์ง
# 5. ๋ชจ๋ ๊ณต์ ์์ ๋ฉด ๊ฒ์ ์ข
๋ฃ => ์ฑ๊ณต
# 6. ์บ๋ฆญํฐ๋ ๊ณต์ ๋ฟ์ผ๋ฉด ๊ฒ์ ์ข
๋ฃ => ์คํจ
# 7. ์๊ฐ ์ ํ 99 ์ด ์ด๊ณผ ์ ๊ฒ์ ์ข
๋ฃ => ์คํจ
# 8. FPS ๋ 30 ์ผ๋ก ๊ณ ์ => ํ์ ์ speed ๊ฐ์ ์กฐ์
# [๊ฒ์ ์ด๋ฏธ์ง]
# 1. ๋ฐฐ๊ฒฝ : 640... | asummerz/Python | pygame_project/1_frame_background_stage_character.py | 1_frame_background_stage_character.py | py | 2,936 | python | ko | code | 0 | github-code | 1 |
37914829335 | import ipywidgets as widgets
def make_model_list_dropdown() -> widgets.Widget:
model_list_dropdown = widgets.Dropdown(
options=['Model 1', "Click to add new model..."],
value='Model 1',
description='Select Model',
style={
'description_width': '100px'
},
... | usnistgov/correlogram_tools | correlogram_tools/plotting_widget/model_header_box.py | model_header_box.py | py | 1,820 | python | en | code | 0 | github-code | 1 |
1656020572 | import math
def factors(num):
rev_lst, lst = [], []
num = int(num)
for i in range(1, math.ceil(math.sqrt(num))):
if num % i == 0:
if num / i == i:
lst.append(i)
else:
lst.append(i)
rev_lst.append(int(num / i))
final_lst = ... | otisscott/data_structures | Homework/hw2/oms275_hw2_q3.py | oms275_hw2_q3.py | py | 439 | python | en | code | 0 | github-code | 1 |
5493453692 | import re
import sys
from io import StringIO
from colorama import Fore, Style
from diff_match_patch import diff_match_patch
def highlight_differences(text1, text2):
dmp = diff_match_patch()
diffs = dmp.diff_main(text1, text2)
dmp.diff_cleanupSemantic(diffs)
highlighted_diff = ""
for diff in diff... | algFame/geektrust | rider-sharing/src/utils.py | utils.py | py | 1,384 | python | en | code | 1 | github-code | 1 |
41413125741 | #!/usr/bin/env python3
import os
import datetime
# Complete the time_delta function below.
def time_delta(t1, t2):
pattern = '%a %d %b %Y %H:%M:%S %z'
date1 = int(datetime.datetime.strptime(t1, pattern).timestamp())
date2 = int(datetime.datetime.strptime(t2, pattern).timestamp())
print(abs(date1 - d... | iliankostadinov/hackerrank-python | time_delta.py | time_delta.py | py | 620 | python | en | code | 0 | github-code | 1 |
8083603585 | from tqdm import tqdm
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from group4_banker import Group4Banker
from plot_config import setup, set_fig_size, set_arrowed_spines
setup()
def prep_data():
features = ['checking account balance', 'duration', 'credit history',
... | moeennaqvi/BankCreditProject | src/action_sensitivity.py | action_sensitivity.py | py | 5,750 | python | en | code | 0 | github-code | 1 |
25082622727 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
path('event/', views.event, name='event'),
path('place/', views.place, name='place'),
path('imply/', views.imply, name='imply'),
path('insert_event/', views.insert_event, name='... | leehj8896/capstone-server_ec2 | print_db/urls.py | urls.py | py | 1,393 | python | en | code | 0 | github-code | 1 |
73454293153 | from tkinter import *
from tkinter import ttk, messagebox
import statistics as stats
import MySQLdb
import numpy as np
import matplotlib.pyplot as plt
patronNomApe = '^([A-Z]\D+)$'
patronCp = '\d{5}$'
patronTelefono = '\d{9}$'
patronCod_Historia = '\d'
patronfecha = '^([0-2][0-9]|(3)[0-1])(\/)(((0)[0-9])|((1)[0-2]))(... | daguilerap/Hospital | proyectofinal/main.py | main.py | py | 25,321 | python | es | code | 0 | github-code | 1 |
24337707923 | from lxml import html
import requests
from time import sleep
import json
import argparse
from collections import OrderedDict
from time import sleep
def parse(ticker):
# Code to get the stock price
url = "http://finance.yahoo.com/quote/%s?p=%s" % (ticker, ticker)
response = requests.get(url, verify=False)
... | JackMcNally24/VODCA | python/Scripts/analysis.py | analysis.py | py | 3,562 | python | en | code | 0 | github-code | 1 |
2340324466 | import torch
from torch import nn
__all__ = [
'DotProductAttention'
, 'AdditiveAttention'
]
class Attention(nn.Module):
'''base model for attention'''
def __init__(self, *args, **kwargs) -> None:
super().__init__()
self.maskValue = -1e10
def forward(self, *args, **kwargs):
'... | Thyme-git/transformer | layers/attention.py | attention.py | py | 8,633 | python | en | code | 1 | github-code | 1 |
18108561085 | # mypy: disable-error-code=arg-type
import asyncio
import discord
import validators
import wavelink
from discord import app_commands
from wavelink.ext import spotify
from .. import config
from ..client import CustomClient
def add_streaming_commands(client: CustomClient) -> None:
@client.tree.command(
na... | sasunday26/discord-music-bot | discord_music_bot/commands/streaming.py | streaming.py | py | 5,621 | python | en | code | 4 | github-code | 1 |
73116264995 | class Solution:
def nextGreaterElement(self, nums1: List[int], nums2: List[int]) -> List[int]:
# find index mapping
dt = {k:v for k, v in enumerate(nums1)}
stk = []
nums2_res = [0] * len(nums2)
for i in range(len(nums2)-1, -1, -1):
while len(stk) > 0 and stk[-1] <... | eliteGoblin/sky_ladder | sessions/bianchengnengli_basic/496.py | 496.py | py | 549 | python | en | code | 0 | github-code | 1 |
6835048152 | '''
This script contains functions which allow a user to select a ROI on a
single/multiple samples
These functions in a variety of ways call the roiselector function which is a GUI
to allow a user to select points. The functionionality of each funcitons is as follows:
ChangePoint: allows a user to CHANGE the l... | JonoSax/3DHistologicalReconstruction | HelperFunctions/SP_SampleAnnotator.py | SP_SampleAnnotator.py | py | 17,188 | python | en | code | 3 | github-code | 1 |
27885172320 | import tweepy
import time
#creds
auth = tweepy.OAuthHandler('F65nYoxP5rSF2GCvhYmyGTgf9' , 'ur8QEgt7J2ugicpmSCLauprXMNOVOzIfAQMOAXnbhflvb2aH1W')
auth.set_access_token('1309177113652662272-4rrOUk9Pxn9KccGPnATO2IUypgT8tr', '1K3NjvrLHuMYeR4xfpp2CpLENsgqrPugZ4WvTtI6ZAyO5' )
api = tweepy.API(auth)
user = api.me()
#print("... | prajaktaandhale/Twitter-Bot-using-Python | twitterbot1.py | twitterbot1.py | py | 1,039 | python | en | code | 0 | github-code | 1 |
72349040674 | # Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def mergeKLists(self, lists: List[Optional[ListNode]]) -> Optional[ListNode]:
heap = []
dummy = ListNode()
curr = dummy
count... | juny-park-95/leet_code_answers | 0023-merge-k-sorted-lists/0023-merge-k-sorted-lists.py | 0023-merge-k-sorted-lists.py | py | 1,052 | python | en | code | 0 | github-code | 1 |
11295990652 | """
Constraints:
- the position of the container has to be in range of device capacity
based on device version
- on creation it checks there is a proper amount of chambers associated
with this object
- there cannot be any other container at the same place in the same device
"""
from django.db import... | AmbientELab-Group/Medbox-server | app/API/models/container.py | container.py | py | 2,660 | python | en | code | 0 | github-code | 1 |
72455448674 | # m ัะพะพ ั
าฏัััะป ั
ัะดัะฝ ะฐะฝั
ะฝั ัะพะพ ะฑะฐะนะณะฐะฐะณ ะพะป
n = int(input())
for i in range(2, n + 1):
k = 0
for j in range (2, i // 2 + 1):
if i % j == 0:
k += 1
if k == 0:
print(i)
count = i.count("i")
print(count)
'''
string = input()
substring = "o"
count = string.count(substring)
print(... | ayangacann/hicheel5 | ะะฐัะณะฐะปััะด/d18.py | d18.py | py | 395 | python | en | code | 0 | github-code | 1 |
20481194705 | import warnings
from pprint import pprint
import pandas as pd
import math
warnings.filterwarnings("ignore")
import numpy as np
# Candidate prediction
# ------------------------
candidate = "Donald Trump"
party = "Republican"
# ------------------------
# import from .csv files
data = pd.read_csv('data/primary_results.c... | JX25/Python-USA-Elections-Predictions | App/main.py | main.py | py | 4,650 | python | en | code | 0 | github-code | 1 |
3540804132 | """============================================================================
Cรณ 60% ngฦฐแปi mua xe thแป thao lร nam giแปi.
1. Chแปn loแบกi phรขn phแปi. Tแบกo ra 10 mแบซu (ngแบซu nhiรชn) theo mรด tแบฃ trรชn
vแปi sแป lแบงn lแบทp lแบกi cรกc thรญ nghiแปm lร 1000
2. Vแบฝ histogram quan sรกt. Nhแบญn xรฉt.
3. Trong 10 chแปง... | lualua0909/Math-4-ML-lds3 | B6. Probability/Ex2 - Cau 2.py | Ex2 - Cau 2.py | py | 1,885 | python | vi | code | 10 | github-code | 1 |
23856076875 | from selenium import webdriver
from lxml import etree
import time,re,random,csv
driver_path = r'D:\chromedriver\chromedriver.exe'
class BossSpider(object):
def __init__(self,writer):
self.base_url = 'https://www.zhipin.com'
self.url = 'https://www.zhipin.com/job_detail/?query=python&city=10... | rbp123/spiders | boss_spider.py | boss_spider.py | py | 4,554 | python | en | code | 1 | github-code | 1 |
30419469650 | import requests
from bs4 import BeautifulSoup
from time import sleep
from lxml import html
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
" AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36"}
def get_url():
for count in range(0,121,20):
... | bogdan-kurbanov/parcer | main.py | main.py | py | 1,468 | python | en | code | 0 | github-code | 1 |
43565545552 | from django.conf.urls import patterns, include, url, static
from django.conf import settings
from django.views.generic import TemplateView
from django.contrib import admin
from django.views.generic import RedirectView
from accounts.views import UserProfileUpdateView
from django.views.defaults import permission_denied
... | colab/colab | colab/urls.py | urls.py | py | 1,586 | python | en | code | 23 | github-code | 1 |
71311124194 | import requests
from xml.etree import ElementTree
class CTAInterface():
def __init__(self, api_key):
self.api_key = api_key
self.base_url = 'http://lapi.transitchicago.com/api/1.0/ttarrivals.aspx'
def get_next_arrivals(self, station_id_list):
next_arrivals = list()
parameters... | efaurie/cta-train-tracker | src/CTAInterface.py | CTAInterface.py | py | 1,311 | python | en | code | 0 | github-code | 1 |
35913684451 | # Beautiful Binary String
# How many binary characters must you change to remove every occurrence of "010" from a binary string?
#
# https://www.hackerrank.com/challenges/beautiful-binary-string/problem
#
# deux opรฉrations suffisent ร enlever le motif 010
# 01010 -> 01110
# 010 -> 000
# pour dรฉnombrer, il suffit... | rene-d/hackerrank | algorithms/strings/beautiful-binary-string.py | beautiful-binary-string.py | py | 837 | python | en | code | 72 | github-code | 1 |
36338664008 | #!C:\Python34
#l1 = [int(i) for i in input().split()]
l1 = [6, 9 ,2, 3, 5, 8]
max_area= 0
#bruit force approach
for i in range(0,len(l1)):
for j in range(1, len(l1)):
height = min(l1[j] ,l1[i])
#print (height)
width = j - i
area = height * width
max_area = max(area, max_area)
print (max_area)
#Optimal ap... | reshmaladi/Python | Question_solutions/container_with_most_water.py | container_with_most_water.py | py | 558 | python | en | code | 0 | github-code | 1 |
18785321963 | from django.urls import include, path
from rest_framework import routers
from . import views
router = routers.DefaultRouter()
router.register(r'reto', views.RetoViewSet)
router.register(r'jugador', views.JugadoresViewSet)
router.register(r'usuarios', views.UsuarioViewSet, basename='usuario')
router.register(r'partidas... | Aram32mm/tarea1 | calculadora/urls.py | urls.py | py | 1,688 | python | es | code | 0 | github-code | 1 |
10886136870 | from flask import Flask, render_template, request, Response, redirect, url_for , session , jsonify , flash
from flask_bootstrap import Bootstrap
from object_detection import *
import object_detection
from flask_sqlalchemy import SQLAlchemy # import sqlalchemy
from database import db , Vehicle , DB_Manager
import web... | LeandroMartinMacato/SecureV-App | app/app.py | app.py | py | 4,819 | python | en | code | 2 | github-code | 1 |
39517310755 | import tensorflow
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Conv2D, Flatten
# Configuration
img_width, img_height = 28, 28
input_shape = (img_width, img_height, 1)
batch_size = 1000
no_epochs = 25
no_classes = 10
validation_split = 0.2
verbosity = 1
# Load ... | kadamis/machine_learning_algorithm | ml_tensor.py | ml_tensor.py | py | 2,079 | python | en | code | 1 | github-code | 1 |
32109402966 | import sys
import os
import imghdr
from PyQt5.QtWidgets import QApplication, QMainWindow, QAction
from PyQt5.QtWidgets import QWidget, QDesktopWidget, QMessageBox
from PyQt5.QtWidgets import QHBoxLayout, QVBoxLayout, QGridLayout
from PyQt5.QtWidgets import QGroupBox, QPushButton, QSlider
from PyQt5.QtWidgets import QLa... | laggui/timelapse-processing | timelapse_gui.py | timelapse_gui.py | py | 10,427 | python | en | code | 1 | github-code | 1 |
7252872322 | # ะขะตััะธะบะธ
import pytest
from Project import combination, if_possible, choice_deck, step_success, install_auto_mod, best_consistent_exchange
def test_choice_deck():
"""ะัะพะฒะตัะบะฐ ะฝะฐะปะธัะธั ะฒัะตั
ะบะฐัั ะฒ ะบะพะปะปะพะดะต."""
deck = choice_deck()
card1 = {'color': 'ะ', 'value': 'ะ'}
card2 = {'color': 'ะ', 'value': '9'}... | IvanWN/Project-CARD | Tests.py | Tests.py | py | 2,625 | python | ru | code | 0 | github-code | 1 |
74178425314 | import random
handvalues = []
handsymbols = []
valuecomparisons = []
prozent = []
realProbability = [0.000154, 0.00139, 0.0240, 0.1441, 0.1965, 0.3925, 2.1128, 4.7539, 42.2569, 50.1177]
statistic = {
"Royal Flush": 0,
"Straight Flush": 0,
"Flush": 0,
"Four of a Kind": 0,
"Full House": 0,
"Strai... | JakobResch/SWP | Poker/Poker_Resch.py | Poker_Resch.py | py | 3,340 | python | en | code | 0 | github-code | 1 |
23562269693 | from graph_tool.all import Graph,Vertex,graph_draw,radial_tree_layout
from GN0.alpha_zero.MCTS_cached import MCTS as MCTS_old,Node,Leafnode,upper_confidence_bound
from GN0.alpha_zero.MCTS import MCTS
from GN0.alpha_zero.NN_interface import NNetWrapper
from graph_game.shannon_node_switching_game import Node_switching_ga... | yannikkellerde/GNN_Hex | GN0/alpha_zero/visualize_MCTS.py | visualize_MCTS.py | py | 12,530 | python | en | code | 0 | github-code | 1 |
1316604535 | from numpy import ndarray as array, tanh, dot
import numpy as np
class Layer:
N: int
v: float
weights: array
def __init__(self, N: int, v=1.0):
self.N = N
self.v = v
# initial random weight values
self.weights = np.random.uniform(size=N)
# we... | armand-colin/neural-networks-g12 | assignment3/src/layer.py | layer.py | py | 438 | python | en | code | 1 | github-code | 1 |
73034000353 | # -*- coding: utf-8 -*-
'''
Functions used for CLI argument handling
'''
from __future__ import absolute_import
# Import python libs
import re
import inspect
# Import salt libs
from salt.ext.six import string_types, integer_types
import salt.ext.six as six
#KWARG_REGEX = re.compile(r'^([^\d\W][\w.-]*)=(?!=)(.*)$', r... | shineforever/ops | salt/salt/utils/args.py | args.py | py | 5,142 | python | en | code | 9 | github-code | 1 |
3892892938 | # # # # # # # #ะะะะะ ะะขะะ ะซ
# # # # # # #
# # # # # # # from datetime import datetime
# # # # # # #
# # # # # # # def time(function):
# # # # # # # def wrapper():
# # # # # # # start = datetime.now()
# # # # # # # function()
# # # # # # # end = datetime.now() - start
# # # # # # # prin... | baitik07/project1 | lection3.py | lection3.py | py | 1,989 | python | en | code | 0 | github-code | 1 |
27523461379 | minutos=int(input('Minutos: '))
if minutos < 200:
Tminutos = 0.2
elif minutos <= 400:
Tminutos= 0.18
elif minutos <= 800:
Tminutos = 0.15
else:
Tminutos= 0.08
print("conta a ser paga : R$ %6.2f " % (minutos * Tminutos))
### o util do ELIF รฉ que ele nao precisa de identaรงรฃo, igual o if
| gracielle-ch/atividades | elif.py | elif.py | py | 317 | python | pt | code | 0 | github-code | 1 |
10514583312 | import datetime
import gym
import numpy as np
from gym import spaces, error
from gym import utils
from gym.utils import seeding
from entity.time_window import time_window
from tool.kuhn_munkras import kuhn_munkras
class MatchEnv(gym.Env):
def __init__(self, max_car_num=30, max_lp_num=300, time_district_num=12, ma... | KirsVon/DQN-Master | DQN-master/match_env.py | match_env.py | py | 2,342 | python | en | code | 0 | github-code | 1 |
14404366448 | #!/usr/bin/env python3
#python crawl.py --iocp http://www.website.com/
import asyncio
import logging
import re
import signal
import os
import sys
import urllib.parse
import aiohttp
@asyncio.coroutine
def download(url,data):
filename=url.replace('http://','').replace('https://','')
path=filename.split('/')
... | wurui1994/record | Python/Spider/asyncio_crawl.py | asyncio_crawl.py | py | 3,835 | python | en | code | 29 | github-code | 1 |
31895287133 | import plotly.express as px
import csv
import numpy as np
def getDataSource(dataPath):
marks = []
days = []
with open(dataPath) as csvFile:
reader = csv.DictReader(csvFile)
for row in reader:
days.append(float(row["Days"]))
marks.append(float(row["Marks"]))
ret... | advik-2402/P106-Correlation | marksPresent.py | marksPresent.py | py | 635 | python | en | code | 0 | github-code | 1 |
24939797081 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import pandas as pd
import plotly.express as px
df = pd.read_csv("../datasets/Los_Angeles_International_Airport_-_Passenger_Traffic_By_Terminal.csv")
df['ReportPeriod']=pd.to_datetime(df['Rep... | ucdavis/ECS272-Winter2020 | Assignment3/wyin/app.py | app.py | py | 2,973 | python | en | code | 2 | github-code | 1 |
34546042808 | import re
import random
def get_response(user_input):
split_message = re.split(r'\s|[,:;.?!-_]\s*', user_input.lower())
response = check_all_messages(split_message)
return response
def message_probability(user_message, recognized_words, single_response=False, required_word=[]):
message_certainty = 0
... | Roberto267/Mi-ChatBot | main.py | main.py | py | 2,409 | python | en | code | 0 | github-code | 1 |
22724522902 | # class to represent an element of P_n
import turtle
import math
import random
class Element:
# global variables
n = 0 # number of points to compute
dist = 150 # distance between points
points = [] # points that compose P_n
moving = False
angle_step = 1
error_margin = 0.01
# cons... | nathanstouffer/topology | P_4/graphv2.py | graphv2.py | py | 4,784 | python | en | code | 0 | github-code | 1 |
43673538115 | from flask import jsonify, make_response, Blueprint, abort, redirect, request
from atexit import register
from time import sleep
from threading import Thread
from flasgger import swag_from
import utils
import logging
import json
bp = Blueprint('db', __name__)
search_q = utils.RedisQueue('searched')
expand_q = utils.R... | Taylorrrr/COMP90024-2020S1-Team22 | backend/db.py | db.py | py | 2,910 | python | en | code | 1 | github-code | 1 |
70323927393 | # -*- coding: utf-8 -*-
""" Autoruns
2015 fightnight
2022 bittor7x0"""
import xbmc,xbmcvfs,xbmcaddon,xbmcgui,xbmcplugin,urllib.request,urllib.parse,urllib.error,os,re,sys
import xml.etree.ElementTree as ET
SERVICE_DISABLED = 'Autoruns_service_disabled'
def list_addons():
#info directory
addDir('... | bittor7x0/kodi.script.autoruns | default.py | default.py | py | 4,990 | python | en | code | 2 | github-code | 1 |
73948619555 | import matplotlib.patches as patches
import matplotlib.pyplot as plt
path = [
[.1, .3],
[.2, .9],
[.8, .4],
]
fig = plt.figure()
ax = fig.gca()
ax.add_patch(patches.Polygon(path))
fig.savefig("triangle_patch.png", dpi=150)
plt.close()
path = [
[.1, .3],
[.2, .9],
[.8, .4],
]
fig = plt.figure(... | brohrer/taming_matplotlib | patch_examples.py | patch_examples.py | py | 552 | python | en | code | 22 | github-code | 1 |
19918807345 | import numpy as np
import matplotlib.pyplot as plt
# 1. Linear regression for classifying noisy data
fig, axs = plt.subplots(3)
N = 100 # data set size
d = 2 # 2 classes of data
# Generate random training data
X = np.random.uniform(-1, 1, size=(N, d+1))
X[:, 0] = 1
# Calculate weights vector
w = np.random.... | kromer-creator/Machine-Learning-Projects | Linear Regression, PLA, and Pocket Algorithm/Lab3_Code.py | Lab3_Code.py | py | 2,736 | python | en | code | 0 | github-code | 1 |
42469206289 | import threading
import numpy as np
import cv2
import time
class CameraReader(threading.Thread):
def __init__(self,dev):
self.dev = dev
self.lock = threading.Lock()
self.frame = np.empty((480,640,3), dtype=np.uint8)
self.running = False
self.cap = None
threading.Thr... | olinrobotics/irl | irl_auxiliary_features/irl_stereo/scripts/stereo_utils/camera_reader.py | camera_reader.py | py | 1,780 | python | en | code | 7 | github-code | 1 |
3824690503 | # -*- coding: utf-8 -*-
from ..enums import ScanTypesEnum
from ..errors import ClosedProcess
from ..process import AbstractProcess
from .functions import (
get_memory_regions,
read_process_memory,
search_addresses_by_value,
search_values_by_addresses,
write_process_memory
)
from typing import Gener... | JeanExtreme002/PyMemoryEditor | PyMemoryEditor/linux/process.py | process.py | py | 6,073 | python | en | code | 20 | github-code | 1 |
39674304363 | from pymongo import MongoClient
import numpy as np
import datetime
client = MongoClient()
db = client.twitter
cursor = db.tweets.aggregate(
[{
"$project": {
"y": { "$year": "$timestamp_obj"},
"m": { "$month": "$timestamp_obj"},
"d": { "$dayOfMonth": "$timestamp_obj" },
... | Humpheh/twied | scripts/processing/fourier.py | fourier.py | py | 2,223 | python | en | code | 11 | github-code | 1 |
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