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29965694924 | import pyowm
import telebot
owm = pyowm.OWM('6d00d1d4e704068d70191bad2673e0cc', language = "ru")
bot = telebot.TeleBot( "1031233548:AAFfUXO0e8bDuOTWaQbHQCCuA_YJwRbqQlY" )
@bot.message_handler(content_types=['text'])
def send_echo(message):
observation = owm.weather_at_place( message.text )
w = observation.... | Neynara/witherin | Bot.py | Bot.py | py | 886 | python | ru | code | 0 | github-code | 6 |
17510284873 | """
find all a,b,c,d such that sum(a3,b3,c3,d3) < 1000
"""
n=1000
ncuberoot = 1+int(pow(1000,1/3))
cache = {}
for i in range(ncuberoot):
cache[i] = i**3
for a in range(n):
for b in range(a,n):
for c in range(b,n):
for d in range(c,n):
sum = cache[a] + cache[b] + cache[c] + c... | soji-omiwade/cs | dsa/before_rubrik/sum_a_b_c_d_cubes_less_than_1000.py | sum_a_b_c_d_cubes_less_than_1000.py | py | 444 | python | en | code | 0 | github-code | 6 |
22360354761 | from dateutil.relativedelta import relativedelta
from odoo.tests import common
from odoo import fields
class TestContractPriceRevision(common.SavepointCase):
@classmethod
def setUpClass(cls):
super(TestContractPriceRevision, cls).setUpClass()
partner = cls.env['res.partner'].create({
... | detian08/bsp_addons | contract-11.0/contract_price_revision/tests/test_contract_price_revision.py | test_contract_price_revision.py | py | 2,670 | python | en | code | 1 | github-code | 6 |
23248264647 | # Usage:
# python advertising_email.py username email_text.txt csv_of_emails.csv attachment1 attachment2 ...
import smtplib
from getpass import getpass
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.base import MIMEBase
from email import encoders
import sys
import c... | ngpaladi/PhysGAAP-Tools | mailer/advertising_email.py | advertising_email.py | py | 2,321 | python | en | code | 0 | github-code | 6 |
73176268028 | import pandas as pd
file_name = r"C:\Users\Sen\Desktop\Raw-Curves Files\Logan-7C_w12_TDDB_25C_Compiled Raw.txt"
File = pd.read_csv(file_name, sep ='\t', header = 0)
Columns = File.columns
Result = pd.DataFrame(columns = Columns)
Ini_key = File.iat[0,2]
criteria = 0
Low_resistance = 1000
for i in range(1, len(File.ind... | Masoniced/Reliabity-Prediction-Model-on-Devices | FinFET Stochastic/Read_File.py | Read_File.py | py | 610 | python | en | code | 1 | github-code | 6 |
17657890511 | import time
import speech_recognition as sr
import pyttsx3
engine = pyttsx3.init()
r = sr.Recognizer()
voices = engine.getProperty('voices')
# to check the voices available in the system
'''for voice in voices:
print("Voice:")
print("ID: %s" %voice.id)
print("Name: %s" %voice.name)
print("Age:... | prakritisharma/Voice-recognition | voice_recognition.py | voice_recognition.py | py | 2,928 | python | en | code | 0 | github-code | 6 |
2500846027 | # author: Tran Quang Loc (darkkcyan)
# editorial: https://codeforces.com/blog/entry/8166
# Note: I switched to python for this problem because I want my check function to always use integer number
# I tried to solve this problem using C++ and got overflow even with long long number
# (and really, never chan... | quangloc99/CompetitiveProgramming | Codeforces/CF319-D1-C.py | CF319-D1-C.py | py | 1,270 | python | en | code | 2 | github-code | 6 |
16304395489 | import cv2
import numpy as np
import apriltag
import collections
apriltag_detect_error_thres = 0.07
def draw_pose(overlay, camera_params, tag_size, pose, z_sign=1, color=(0, 255, 0)):
opoints = np.array([
-1, -1, 0,
1, -1, 0,
1, 1, 0,
-1, 1, 0,
-1, -1, -2 * z_sign,
... | dkguo/Pushing-Imitation | apriltag_detection.py | apriltag_detection.py | py | 4,540 | python | en | code | 0 | github-code | 6 |
306333387 | from fastapi import status, HTTPException, Depends, APIRouter
from database import SessionLocal
import models, schemas, utils
router = APIRouter(
prefix="/merchants",
tags=['Merchants']
)
@router.post("/", status_code=status.HTTP_201_CREATED, response_model=schemas.MerchantResponse)
def create_merchant(merch... | Roshankattel/RFID2 | rfiddemo/routers/merchants.py | merchants.py | py | 1,553 | python | en | code | 0 | github-code | 6 |
24247317201 | import tkinter
import customtkinter
import random
cards = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 11]
def draw():
global player_score
global enemy_score
win_label.configure(text=" ")
randint = random.randint(0, len(cards) - 1)
player_cards.append(cards[randint])
player_score += int(cards[randi... | anarkitty8/gui-blackjack | blackjack_gui.py | blackjack_gui.py | py | 2,420 | python | en | code | 0 | github-code | 6 |
37149926407 | # 21. Se cuenta con una lista de películas de cada una de estas se dispone de los siguientes datos:
# nombre, valoración del público –es un valor comprendido entre 0-10–, año de estreno y recaudación.
# Desarrolle los algoritmos necesarios para realizar las siguientes tareas:
from random import randint
from lista impo... | GabiC15/TPs-Algoritmos | TP4/ejercicio_21.py | ejercicio_21.py | py | 2,324 | python | es | code | 0 | github-code | 6 |
23431004467 | import numpy as np
import math
# 0 ~ 26 : blocks (color, shape, pattern)
# 27 : empty
# 28 ~ 30 : dummy blocks
def circle_dist(x, y):
return math.sqrt(x*x + y*y)
def square_dist(x, y):
return max(x, -x, y, -y)
def triangle_dist(x, y):
return max((6 * x - 3 * y + 1) / 4, (- 6 * x - 3 * y + 1) / 4, (3 * y... | yskim5892/gym_BHB | gym_BHB/envs/BHB_renderer.py | BHB_renderer.py | py | 4,404 | python | en | code | 0 | github-code | 6 |
16463309857 | # web template maker
import os
# templates
HTML_TEMPLATE = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Document</title>
<link rel="stylesheet" href="css/style.css">
</head>
<body>
<!--HEADER-->
... | jtriley-eth/python-scripts | scripts/web-template-generator.py | web-template-generator.py | py | 2,324 | python | en | code | 0 | github-code | 6 |
27390337341 | # Catalan Numbers and RNA Secondary Structures
# http://rosalind.info/problems/cat/
from collections import defaultdict
from utilities import get_file, read_FASTA, get_answer_file
# Noncrosing Perfect Maching
def catalan(strand):
if (strand not in cache):
if strand.count('C') != strand.count('G') or stran... | Delta-Life/Bioinformatics | Rosalind/Bioinformatics Stronghold/code/CAT.py | CAT.py | py | 932 | python | en | code | 0 | github-code | 6 |
35136983267 |
import Forge.core.Process
import Anvil.core
import WindowExecute
class WindowOpen( WindowExecute.WindowExecute ):
def __init__( self, title=None, iconPath=None, size=[ 400, 100 ], entity=None, cmd=None, arg={}, ui=None ):
if not title:
title = 'Open entity : %i' %( entity['entityId'] )
self.init( title=tit... | Black-Cog/Hammer | ui/WindowOpen.py | WindowOpen.py | py | 855 | python | en | code | 0 | github-code | 6 |
3373850562 |
import random
def get_lottery_numbers(amount = 5):
lottery_numbers = []
for i in range(amount):
lottery_numbers.append(random.randint(0, 100))
return lottery_numbers
def get_user_entry(amount = 5):
user_numbers = []
for x in range(amount):
while len(user_numbers) < amount:
number = int(i... | usman-tahir/python-snippets | python-games/lottery.py | lottery.py | py | 1,813 | python | en | code | 0 | github-code | 6 |
28359703116 | import csv
import DBN
import matplotlib.pyplot as plt
def getData(inp="../ABP_data_11traces_1min/dataset7.txt"):
f = file(inp)
lines = f.readlines()
data = (map(float,l.split(" ")[:3]) for l in lines)
# end = lines.index('\n')
# obs = lines[1:end]
# data = map(lambda x: tuple(map(float,x.split(','))),obs)
retur... | romiphadte/ICU-Artifact-Detection-via-Bayesian-Inference | ABP_DBN/run.py | run.py | py | 2,090 | python | en | code | 0 | github-code | 6 |
17112178327 | '''Write a function that takes a character (i.e. a string of length 1)
and returns True if it is a vowel, False otherwise.'''
def Vowel(x):
if x=='a' or x=='e' or x=='i' or x=='o' or x=='u':
return True
else:
return False
x = input("Enter The string :")
obj = Vowel(x)
print(obj)
| abhinav319/abhinav_code | Question4.py | Question4.py | py | 319 | python | en | code | 0 | github-code | 6 |
3982866631 | import math
origin = [399809, 4881610]
end = [989876, 4291543] # 590067x590067m intermediate point -> 4586576,5
def calculate_tile(x, y, z):
"""
Calculate tile number from the coordinates passed as parameter.
Normal test
>>> calculate_tile(650000, 4400000, 9)
(217, 417)
Limit test
>>> calculate_tile(989876, ... | strummerTFIU/TFG-IsometricMaps | src/calculate_tile.py | calculate_tile.py | py | 3,553 | python | en | code | 0 | github-code | 6 |
15143899898 | # Created: 2022-07-06
# Link: https://open.kattis.com/problems/helpaphd
#Recommended from the guide: https://github.com/VictorieeMan/kattis-guide/blob/master/input.md
import sys
# Kattis / Machine input
input = sys.stdin.read()
# Manual input
# input = "4\n\2+2\1+2\p=NP\0+0"
string = input.split("\n")[1:-1]
for i... | VictorieeMan/Kattis_Solutions | Python 3/problems/@Solved/helpaphd/helpaphd.py | helpaphd.py | py | 468 | python | en | code | 0 | github-code | 6 |
72902347389 | """
run.py
Autor: Juan Pablo
"""
from misVariable import *
#uso de condicional simple
nota= input("Ingrese la nota 1: \n")
nota2 = input("Ingrese nota 2: \n")
nota = int(nota)
nota2 = int(nota2)
if nota >= 18:
print(mensaje)
if nota2 >= 18:
print(mensaje)
| concpetosfundamentalesprogramacionaa19/ejercicios-clases5-020519-jleon1234 | miProyecto/run.py | run.py | py | 268 | python | es | code | 0 | github-code | 6 |
39425074538 | import discord
class DiscordClient(discord.Client):
def __init__(self, channel: int, players: list):
self.channel: int = channel
self.players: list = players
super().__init__()
async def on_ready(self):
print(f"{self.user} is connected!")
channel = self.get_channel(se... | kevinrobayna/rio_discord_bot | rio_discord_bot/discord_client.py | discord_client.py | py | 1,073 | python | en | code | 0 | github-code | 6 |
19499854601 | # -*- coding: utf-8 -*-
import pytest
from mdye_leetcode.solution_28 import Solution
# makes a Solution object b/c that's how leetcode rolls
@pytest.fixture(scope="module")
def sol():
yield Solution()
def test_solution_28_basic(sol: Solution):
assert sol.strStr("mississippi", "issip") == 4
assert sol.... | michaeldye/mdye-python-samples | src/mdye_leetcode/test/test_solution_28.py | test_solution_28.py | py | 513 | python | en | code | 0 | github-code | 6 |
29546248670 | import sys
import threading
# Use Thread to Speed up to log(n) - WRONG WAY
# WRONG! WRONG! WRONG!!!
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
threadLock = threading.Lock()
threads = []
result = True
class myThread(threading.Thread):... | HeliWang/upstream | Concurrency/validate-bst.py | validate-bst.py | py | 4,552 | python | en | code | 0 | github-code | 6 |
28705163606 | # Написать программу, которая состоит 4 из этапов:
# - создает список из рандомных четырехзначных чисел
# - принимает с консоли цифру и удаляет ее из всех элементов списка
# - цифры каждого элемента суммирует пока результат не станет однозначным числом
# - из финального списка убирает все дублирующиеся элементы
# - пос... | MihailOgorodov/python_courses | seminar4/3.py | 3.py | py | 2,395 | python | ru | code | 0 | github-code | 6 |
16838118388 | from typing import List
from urllib.parse import urlparse
import pandas as pd
from pathlib import Path
from behave import Given, When, Then, Step
from csvcubeddevtools.behaviour.file import get_context_temp_dir_path
from csvcubeddevtools.helpers.file import get_test_cases_dir
from rdflib import Graph
from csvcubed.mod... | GDonRanasinghe/csvcubed-models-test-5 | csvcubed/tests/behaviour/steps/qbwriter.py | qbwriter.py | py | 27,298 | python | en | code | 0 | github-code | 6 |
42560657012 | # 4.3
# List of Depths: Given a binary tree, design an algorithm which creates a linked list of all the nodes
# at each depth (e.g., if you have a tree with depth D, you'll have D linked lists).
import unittest
from Chapter_4_TreesAndGraphs import BinaryTree
from Chapter_4_TreesAndGraphs.Node import Node
from Chapter_... | JSchoreels/CrackingTheCodingInterview | Chapter_4_TreesAndGraphs/ex_4_3_ListOfDepths.py | ex_4_3_ListOfDepths.py | py | 1,460 | python | en | code | 0 | github-code | 6 |
44035409119 | def nearestValidPoint(x, y, points):
# if x matches left side of any of the points its valid
# if y matches right side of any of the points its valid
# Manhatten distance is abs(x)
smallest_seen = float('inf')
index = -1
for i, (a, b) in enumerate(points):
print(i, a, b)
print(po... | MichelleGray78/LeetCode_Problems | LeetCode_Problems/nearest_point_with_same_x_or_y/main.py | main.py | py | 600 | python | en | code | 0 | github-code | 6 |
39920879314 | """
This module implement the ServiceProxy class.
This class is used to provide a local proxy to a remote service for a ZeroRobot.
When a service or robot ask the creation of a service to another robot, a proxy class is created locally
so the robot see the service as if it as local to him while in reality the service ... | BolaNasr/0-robot | zerorobot/service_proxy.py | service_proxy.py | py | 7,252 | python | en | code | 0 | github-code | 6 |
73026312507 | from typing import DefaultDict
import sys
import os
import csv
sys.path.append(0, os.path.abspath('.'))
sys.path.append(0, os.path.abspath('./src'))
sys.path.append(0, os.path.abspath('./src/utilities'))
from src.utilities import SCRIPT_HOME
from src.utilities.post_process import post_proc_timeseries
from net_sim impor... | mattall/topology-programming | scripts/TDSC/sim_event.py | sim_event.py | py | 3,375 | python | en | code | 0 | github-code | 6 |
9224589864 | from prediction.M2I.predictor import M2IPredictor
import numpy as np
import math
import logging
import copy
import random
import time
import interactive_sim.envs.util as utils
import plan.helper as plan_helper
import agents.car as car
S0 = 2
T = 0.25 #1.5 # reaction time when following
DELTA = 4 # the power term in... | Tsinghua-MARS-Lab/InterSim | simulator/plan/env_planner.py | env_planner.py | py | 107,809 | python | en | code | 119 | github-code | 6 |
21928800747 | # Coroutines
import time
def coroutine():
time.sleep(3)
text = "Hey guys! Welcome to Parallax Coders. How are you ? Have a great day"
while True:
checking_text = (yield)
if checking_text in text:
print("Your word has been found !")
else :
print("Your book h... | MahbinAhmed/Learning | Python/Python Learning/Revision/56. Coroutines.py | 56. Coroutines.py | py | 573 | python | en | code | 0 | github-code | 6 |
18003867595 | import torch
import torch.nn as nn
import torch.nn.functional as F
from algo.pn_utils.maniskill_learn.networks import build_model, hard_update, soft_update
from algo.pn_utils.maniskill_learn.optimizers import build_optimizer
from algo.pn_utils.maniskill_learn.utils.data import to_torch
from ..builder import MFRL
from ... | PKU-EPIC/UniDexGrasp | dexgrasp_policy/dexgrasp/algo/pn_utils/maniskill_learn/methods/mfrl/td3.py | td3.py | py | 3,767 | python | en | code | 63 | github-code | 6 |
34421435243 | import numpy as np
import pandas as pd
import json
import argparse
import catboost
from catboost import CatBoostClassifier, Pool, metrics, cv
from catboost.utils import get_roc_curve, get_confusion_matrix, eval_metric
from sklearn.metrics import accuracy_score, roc_auc_score
from sklearn.model_selection import train_... | mihael-tunik/SteppingStonesCatboost | classifier.py | classifier.py | py | 4,248 | python | en | code | 0 | github-code | 6 |
23185192152 | #!/usr/bin/env python3
"""
Download the name of all games in the bundle.
Download their info and scrore from opencritic if they exist there.
Sort by score.
"""
import json
import urllib.request
import urllib.parse
from typing import List
from bs4 import BeautifulSoup
from typing_extensions import TypedDict
Game = ... | Hyerfatos/itchio_bundle_games | itch.py | itch.py | py | 3,789 | python | en | code | 0 | github-code | 6 |
26039112676 | from __future__ import annotations
from dataclasses import dataclass
from pants.core.goals.package import BuiltPackageArtifact
from pants.util.strutil import bullet_list, pluralize
@dataclass(frozen=True)
class BuiltDockerImage(BuiltPackageArtifact):
# We don't really want a default for this field, but the supe... | pantsbuild/pants | src/python/pants/backend/docker/package_types.py | package_types.py | py | 1,072 | python | en | code | 2,896 | github-code | 6 |
10159706498 | # 6) Write a Script to sum of prime numbers in a given number
number = int(input("Enter a no:"))
sum = 0
while number != 0:
rem = number % 10
number = number // 10
if rem != 4 and rem != 6 and rem != 8 and rem != 9:
sum = sum + rem
print("the sum is:", sum)
| suchishree/django_assignment1 | python/looping/while loop/demo8.py | demo8.py | py | 280 | python | en | code | 0 | github-code | 6 |
35708774977 | import random
def local_search(items, capacity):
"""
Solves the knapsack problem using a local search approach.
Args:
items: A list of items, where each item is a tuple of (value, weight).
capacity: The capacity of the knapsack.
Returns:
A list of items that are included in the knapsack.
"""
... | Jonathanseng/Algorithm-Design-Methods | 13. Local Search/13.7 Local Search Pattern.py | 13.7 Local Search Pattern.py | py | 2,691 | python | en | code | 3 | github-code | 6 |
28773188393 | """
examples
@when('the user searches for "{phrase}"')
def step_impl(context, phrase):
search_input = context.browser.find_element_by_name('q')
search_input.send_keys(phrase + Keys.RETURN)
@then('results are shown for "{phrase}"')
def step_impl(context, phrase):
links_div = context.browser.find_element_b... | kevindvaf/rocketmiles | features/steps/search.py | search.py | py | 4,218 | python | en | code | 0 | github-code | 6 |
20602544780 | from sqlalchemy import create_engine, Column, Integer, String, Float
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///test.db', echo=True)
Base = declarative_base(engine)
############################################################... | BhujayKumarBhatta/flask-learning | flaskr/db/mysqlalchemy.py | mysqlalchemy.py | py | 2,971 | python | en | code | 1 | github-code | 6 |
37158346153 | import squarify
import matplotlib.pyplot as plt
import matplotlib.cm
import numpy as np
x = 0.
y = 0.
width = 950
height = 733
fig = plt.figure(figsize=(15, 12))
ax = fig.add_subplot(111, axisbg='white')
values = [285.4, 188.4, 173, 140.6, 91.4, 75.5, 62.3, 39.6, 29.4, 28.5, 26.2, 22.2]
labels = ['South Africa', 'Eg... | QiliWu/Python-datavis | datavis/Africa GDP.py | Africa GDP.py | py | 1,435 | python | en | code | 2 | github-code | 6 |
71819476349 | n=int(input("Enter digit:"))
if(n<=1):
print(n)
else:
n1=0
n2=1
for x in range(n-1):
feb=n1+n2
n1=n2
n2=feb
print(feb)
#recursive methode
| P111111111/DAA_Lab-Manual | A1_withot_recurssion.py | A1_withot_recurssion.py | py | 182 | python | en | code | 0 | github-code | 6 |
23313489127 | import bpy
class SFX_Socket_Float(bpy.types.NodeSocket):
'''SFX Socket for Float'''
bl_idname = 'SFX_Socket_Float'
bl_label = "Float"
float: bpy.props.FloatProperty(name = "Float",
description = "Float",
default = 0.0)
... | wiredworks/wiredworks_winches | sockets/SFX_Socket_Float.py | SFX_Socket_Float.py | py | 1,073 | python | en | code | 12 | github-code | 6 |
71979063548 | #not sure how to go about this one????
#I can create a loop craeteing a list of coordinates i have been to for both wires
#then find intersections based on those coordinates
#also the main port will be zero zero
import math
intersections = []
#keep in mind the main port is (0,0)
f = open('data.txt')
wireOne = f.readlin... | Hector-bit/adventOfCode | year2019/crossedWiresDAY3/parteUno.py | parteUno.py | py | 1,779 | python | en | code | 0 | github-code | 6 |
41939702684 | # translate exercise in python
# translate the file in japanese
# so use ' pip install translate'
from translate import Translator
translator = Translator(to_lang='ja')
try:
with open('test.txt', mode='r') as my_file:
text = my_file.read()
translation = translator.translate(text)
with ope... | hyraja/python-starter | 09.FILE I-O python/03.exercise_translator.py | 03.exercise_translator.py | py | 481 | python | en | code | 0 | github-code | 6 |
74160534269 | import datetime
import enum
import os
import signal
import subprocess
import sys
import time
import typing
from logging import getLogger
from threading import Thread
import requests
from slugify import slugify
from config import Setting, client_id, client_secret
from util import file_size_mb, get_setting
logger = ge... | bcla22/twitch-multistream-recorder | twitch.py | twitch.py | py | 8,358 | python | en | code | 0 | github-code | 6 |
37056623803 | import os
import numpy as np
from sklearn import datasets
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import KFold, GridSearchCV
from sklearn.svm import SVC
from sklearn.externals import joblib
from utils import save_answer
BASE_DIR = os.path.dirname(os.path.realpath(__file... | Nick-Omen/coursera-yandex-introduce-ml | lessons/article/main.py | main.py | py | 1,903 | python | en | code | 0 | github-code | 6 |
22480925936 | from fastai.vision import *
from fastai.widgets import*
import numpy as np
classes = ['ac','as','cb','cc','ci','cs','cuCon','cu','ns','sc','st']
# %%
path = Path('images/')
#for name in classes:
# folder = name
# file = name + '.csv'
# dest = path/folder
# dest.mkdir(parents = True, exist_ok = True)
# ... | DrDJIng/CloudIdentifier | classifyClouds.py | classifyClouds.py | py | 1,353 | python | en | code | 0 | github-code | 6 |
30066696464 | import logging
import os
from PIL import Image
from PIL.ExifTags import TAGS
class Utils:
@staticmethod
def extract_exif_data(image: Image) -> {}:
map_tag_dict = {}
exif_data = image.getexif()
for tag_id in exif_data:
tag = TAGS.get(tag_id, tag_id)
data = exif_... | greencashew/image-captioner | imagecaptioner/utils.py | utils.py | py | 1,630 | python | en | code | 0 | github-code | 6 |
10633670979 | def isPrime(n):
if n == 1:
return False
for i in range(2, int(n**(1/2))+1):
if n%i == 0:
return False
return True
def dec2n(n, k):
result = ""
while n>0:
n, i = divmod(n, k)
result += str(i)
return result[::-1]
def solution(n, k):
arr = dec2n... | eastdh/CT-algorithm | programmers_school/lv2/23.01.15 - k진수에서 소수 개수 구하기, 압축/k진수에서 소수 개수 구하기.py | k진수에서 소수 개수 구하기.py | py | 525 | python | en | code | 0 | github-code | 6 |
35665366566 | import UploadgramPyAPI
from core import logger
class Uploadgram:
@staticmethod
def upload(path_to_file):
try:
up_file = UploadgramPyAPI.NewFile(path_to_file)
response: dict = up_file.upload()
logger.info(response)
return response
except Uploadgr... | YuryVetrov/Media-file-downloader-bot | cloud_storage/Uploadgram.py | Uploadgram.py | py | 892 | python | en | code | 0 | github-code | 6 |
11814433027 | from get_url import GetUrl
import requests
from bs4 import BeautifulSoup
class GetText():
def __init__(self, area):
self.got_url = GetUrl()
self.url = self.got_url.get_url(area)
def get_url(self):
url = self.url
return url
def get_text(self):
err_text = '以下の地域から選んでください\n北海道\n東北\n関東\n信越・北陸\n東海\n近畿\n中国\n... | yutatakaba/weather_apr | get_text.py | get_text.py | py | 761 | python | en | code | 0 | github-code | 6 |
1776827146 | from pandas.tseries.frequencies import to_offset
import numpy as np
import pandas as pd
def get_numeric_frequency(freq):
"""
Return the frequency of a time series in numeric format.
The function returns the frequency of a time series in numeric format. This is useful when working with
forecasting lib... | yForecasting/DeepRetail | DeepRetail/forecasting/utils.py | utils.py | py | 12,762 | python | en | code | 0 | github-code | 6 |
13412454502 | # 自己设计的CNN模型
import torch.nn as nn
import torch.nn.functional as F
class ConvolutionalNetwork(nn.Module):
def __init__(self):
super().__init__()
self.conv1 = nn.Conv2d(3, 6, 3, 1) # conv1 （RGB图像，输入通道数为3）
self.conv2 = nn.Conv2d(6, 16, 3, 1) # conv2
self.fc1 = nn.Linear(54 *... | Tommy-Bie/sign_language_classification | my_CNN.py | my_CNN.py | py | 924 | python | en | code | 1 | github-code | 6 |
26848770395 | import sys
from PySide6.QtWidgets import QApplication, QPushButton
from PySide6.QtCore import Slot
# 这个例子包含Signals and Slots(信号与槽机制)
# 使用@Slot()表明这是一个槽函数
# @Slot() 服了，没使用这个居然也能照常运行
def say_hello():
print("Button, clicked, hello!")
app = QApplication([])
# QPushButton里面的参数是按钮上会显示的文字
button = QPus... | RamboKingder/PySide6 | button-2.py | button-2.py | py | 524 | python | zh | code | 2 | github-code | 6 |
16194751087 | import urllib
import json
import pandas as pd
from pandas.io.json import json_normalize
from rdflib import URIRef, BNode, Literal, Graph
from rdflib import Namespace
from rdflib.namespace import RDF, FOAF, RDFS, XSD
from datetime import datetime
#api key = 57ab2bbab8dda80e00969c4ea12d6debcaddd956 for jsdeux api
#let'... | zhantileuov/rdf_project | generate.py | generate.py | py | 5,906 | python | en | code | 0 | github-code | 6 |
11463544163 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 11 12:08:53 2022
@author: sampasmann
"""
import sys
sys.path.append("../../")
import os
from src.init_files.mg_init import MultiGroupInit
import numpy as np
import matplotlib.pyplot as plt
Nx = 1
data12 = MultiGroupInit(numGroups=12, Nx=Nx)
data70... | spasmann/iQMC | post_process/plotting/mg_solutions.py | mg_solutions.py | py | 1,957 | python | en | code | 2 | github-code | 6 |
35835057096 | from re import compile
from utils import BasicError
# Class for Tokens
class Token():
# Token type will have a name and a value
def __init__(self, type_name, value, pos_start, pos_end):
self.type = type_name
self.value = value
self.pos_start = pos_start
self.pos_end = pos_end
... | shaleen111/pyqb | lexer.py | lexer.py | py | 2,416 | python | en | code | 0 | github-code | 6 |
42283221124 | class FpMethodResult():
clone_parts_1: list # части с заимствованиями из первого файла
clone_parts_2: list # части с заимствованиями из второго файла
clone_pct: float # процент заимствований
def __init__(self, cl_pt1, cl_pt2, clp_pct) -> None:
self.clone_parts_1 = cl_pt1
sel... | Urdeney/Diploma | clonus/methods/fp_method.py | fp_method.py | py | 596 | python | ru | code | 0 | github-code | 6 |
36667789639 | import numpy as np
import scipy.stats as stats
# 1 -----------------------
print("Task 1")
# 1) Даны значения величины заработной платы заемщиков банка (zp) и значения их поведенческого
# кредитного скоринга (ks):
# zp = [35, 45, 190, 200, 40, 70, 54, 150, 120, 110],
# ks = [401, 574, 874, 919, 459, 739, 653, 902, 7... | SofyaSofya21/tprob_mathstat_hw8 | task1.py | task1.py | py | 1,748 | python | ru | code | 0 | github-code | 6 |
21610135351 | import requests
import re
import json
from nonebot import on_command, CommandSession
@on_command('lol新闻', aliases=('lol新闻'))
async def weather(session: CommandSession):
url = "http://l.zhangyoubao.com/news/"
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; U; PPC Mac OS X Mach-O; en-US; rv:1.6) Ge... | Lmg66/QQrobot | awesome-bot/awesome/plugins/lol.py | lol.py | py | 980 | python | en | code | 3 | github-code | 6 |
8662253484 | import logging
import sys
import tarfile
import tempfile
from urllib.request import urlopen
from zipfile import ZipFile
from pathlib import Path
TF = "https://github.com/tensorflow/tflite-micro/archive/80cb11b131e9738dc60b2db3e2f1f8e2425ded52.zip"
CMSIS = "https://github.com/ARM-software/CMSIS_5/archive/a75f01746df18b... | alifsemi/alif_ml-embedded-evaluation-kit | download_dependencies.py | download_dependencies.py | py | 4,091 | python | en | code | 1 | github-code | 6 |
24332065584 | # We import pandas into Python
import pandas as pd
google_stock = pd.read_csv(r'learn_python\pandas\statistics_from_stock_data\GOOG.csv', index_col=['Date'], usecols=['Date', 'Adj Close'], parse_dates=True)
apple_stock = pd.read_csv(r'learn_python\pandas\statistics_from_stock_data\AAPL.csv', index_col=['Date'], usecol... | funnyfeet434/Learn_AI | learn_python/pandas/statistics_from_stock_data/statistics_from_stock.py | statistics_from_stock.py | py | 1,431 | python | en | code | 0 | github-code | 6 |
20025251905 | import os
import re
def create_current_file_message(filename):
basename = os.path.basename(filename)
return "{:<30.30} => ".format(basename)
def create_insert_message(sql_query, row_count, execution_time=None):
""" Create message on how many lines inserted into which table """
if row_count >= 0:
... | thehyve/ohdsi-etl-caliber | python/util/message_creation.py | message_creation.py | py | 1,690 | python | en | code | 4 | github-code | 6 |
13438082129 | """
Boston house prices dataset
"""
import sklearn.datasets
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import PolynomialFeat... | i-hs/lab-python | scratch13/ex05.py | ex05.py | py | 6,999 | python | en | code | 0 | github-code | 6 |
74048870269 | import pandas as pd
import os
from calendar import monthrange
from datetime import datetime,timedelta
import re
import numpy as np
from models.fed_futures_model.backtestloader import BacktestLoader
from models.fed_futures_model.fff_model import FederalFundsFuture
class Backtest():
def __init__(self, path):
... | limjoobin/bt4103-rate-decision-index | rate_decision_index/models/fed_futures_model/backtest.py | backtest.py | py | 3,664 | python | en | code | 0 | github-code | 6 |
71663956668 | # A = X = Rock = 0
# B = Y = Paper = 1
# C = Scissors = 2
# Rock (0) bests Scissors (2)
# Paper (1) beats Rock (0)
# Scissors (2) beats Paper (1)
beats = (2, 0, 1)
def score_round(opponent, player):
score = player + 1
if player == opponent:
score += 3
elif beats[player] == opponent:
score += 6
return score... | jacobschaer/advent_of_code_2022 | day_2/aoc2.py | aoc2.py | py | 1,129 | python | en | code | 0 | github-code | 6 |
10189584256 | from random import random
def simulatedChampionshipWinner(players):
reset(players)
championshipEnd = False
master = 0
numPlayers = len(players)
challengers = players.copy()
challengers.pop(0)
while not championshipEnd:
participant = challengers.pop(0)
if simulatedMatchW... | peulsilva/giants-steps-summer | multiplePlayers.py | multiplePlayers.py | py | 1,358 | python | en | code | 0 | github-code | 6 |
8224455984 | # MAC0318 Intro to Robotics
# Please fill-in the fields below with every team member info
#
# Name: José Lucas Silva Mayer
# NUSP: 11819208
#
# Name: Willian Wang
# NUSP: 11735380
#
# Any supplemental material for your agent to work (e.g. neural networks, data, etc.) should be
# uploaded elsewhere and listed down below... | josemayer/pato-wheels | project/agent.py | agent.py | py | 5,379 | python | en | code | 0 | github-code | 6 |
32915067412 | from django.contrib.auth import get_user_model
from django.db import models
User = get_user_model()
class Group(models.Model):
title = models.TextField(max_length=200, verbose_name='Название')
slug = models.SlugField(unique=True, verbose_name='Идентификатор')
description = models.TextField(verbose_name='... | dew-77/api_final_yatube | yatube_api/posts/models.py | models.py | py | 2,618 | python | en | code | 0 | github-code | 6 |
73102772669 | """
Faça um programa que leia seis valores numéricos atribuindo-os à duas variáveis do tipo
lista com três elementos cada. Cada variável irá representar um vetor, informe o produto
escalar e o produto vetorial destes vetores.
"""
lista3 = []
lista4 = []
for x in range(3):
lista3.append(int(input("Digite ... | devmarcosvinicius/UDF | 1º Semestre/Programação de Computadores/Simulado/3.py | 3.py | py | 502 | python | pt | code | 0 | github-code | 6 |
14965343125 | """
This file defines the Variable, a class used for basic mathematical operations
and gradient calculations.
Authors: MILES MCCAIN and LIV MARTENS
License: GPLv3
"""
import random
import numpy as np
import math
class Variable():
def __init__(self, eval_=None, grad=None, representation=None, name=None):
... | milesmcc/csc630-machine-learning | compgraphs/variable.py | variable.py | py | 9,156 | python | en | code | 0 | github-code | 6 |
70199866108 | class Node:
def __init__(self, data, next=None):
self.data = data
self.next = next
class LinkedList:
def __init__(self):
self.head = None
def get_first(self):
return self.head
def add_last(self, data):
new_node = Node(data)
if self.head is None:
... | hazalonler/data-structure-implementation | src/linked_list_impl.py | linked_list_impl.py | py | 3,202 | python | en | code | 1 | github-code | 6 |
71913648828 | import numpy as np
import f_info
from f_info import*
def refine_cutting_plane(k, current_agent, i, dim, Na):
m = k-1
x = current_agent['x_memory']
g = current_agent['g_memory']
f = current_agent['f_memory']
current_query = x[i*dim:(i+1)*dim, m-1]
tilde_gjm_i = np.empty(shape=(0,0))
tilde_fj... | zty0312/Distributed-Cutting-Plane-Consensus | prepare_algorithm.py | prepare_algorithm.py | py | 1,902 | python | en | code | 0 | github-code | 6 |
71432253948 | import click
group = click.Group("jaqsmds")
@group.command(help="Run auth server for jaqs.data.DataApi client.")
@click.argument("variables", nargs=-1)
@click.option("-a", "--auth", is_flag=True, default=False)
def server(variables, auth):
from jaqsmds.server.server import start_service
env = {}
for it... | cheatm/jaqsmds | jaqsmds/entry_point.py | entry_point.py | py | 642 | python | en | code | 4 | github-code | 6 |
3400836706 | # -*- coding: utf-8 -*-
from flask import Flask
from pydoc import locate
class ConstructApp(object):
def __init__(self):
self.extensions = {}
self.web_app = self.init_web_app()
def __call__(self, settings, force_init_web_app=False):
if force_init_web_app is True:
self.w... | tigal/mooc | application.py | application.py | py | 1,660 | python | en | code | 0 | github-code | 6 |
39691118341 | #!/usr/bin/env python
import sys
from xml.etree import ElementTree
def run(files):
first = None
for filename in files:
data = ElementTree.parse(filename).getroot()
if first is None:
first = data
else:
first.extend(data)
if first is not None:
print(Ele... | cheqd/cheqd-node | .github/scripts/xml_combine.py | xml_combine.py | py | 412 | python | en | code | 61 | github-code | 6 |
12731825315 | # series into dataframes
import pandas as pd
import numpy as np
s = pd.Series(np.arange(4))
print(s)
s= pd.Series([1.0,2.0,3.0],index=['x','y','z'])
print(s)
s= pd.Series({'a':1,'b':2,'c':3,'d':4})
print(s)
s=pd.Series([1,2,3,4],['t','x','y','z'])
print(np.sqrt(s))
#concat 2 series
names=pd.Series(['Einstein','Marie C... | ndlopez/learn_python | source/pandas_test.py | pandas_test.py | py | 1,058 | python | en | code | 0 | github-code | 6 |
20856359623 | """
Training code for harmonic Residual Networks.
Licensed under the BSD License [see LICENSE for details].
Written by Matej Ulicny, based on pytorch example code:
https://github.com/pytorch/examples/tree/master/imagenet
"""
import argparse
import os
import random
import shutil
import time
import war... | matej-ulicny/harmonic-networks | imagenet/main.py | main.py | py | 13,809 | python | en | code | 55 | github-code | 6 |
5593654816 | import telegram
import google
import logging
import base64
import io
from requests_html import HTMLSession
from google.cloud import firestore
from bs4 import BeautifulSoup
from PIL import Image
from time import sleep
from Spider import get_all_course
from UESTC_Login import _login, get_captcha
def __Bot_t... | mrh929/uestc_calendar_bot | calendar/main.py | main.py | py | 6,925 | python | en | code | 0 | github-code | 6 |
72784467067 | # https://www.codewars.com/kata/630647be37f67000363dff04
def draw(deck):
print_deck(deck, True) # Using unicode characters
print_deck(deck, False) # Using regular characters
drawn_cards = []
while len(deck) > 1:
drawn_cards.append(deck.pop(0))
if deck:
deck.append(deck.p... | blzzua/codewars | 7-kyu/playing_cards_draw_order_–_part_1.py | playing_cards_draw_order_–_part_1.py | py | 357 | python | en | code | 0 | github-code | 6 |
37009441089 | # coding=utf-8
import pymysql
from com.petstore.dao.base_dao import BaseDao
"""订单明细管理DAO"""
class OrderDetailDao(BaseDao):
def __init__(self):
super().__init__()
def create(self, orderdetail):
"""创建订单明细，插入到数据库"""
try:
with self.conn.cursor() as cursor:
sql ... | wanglun0318/petStore | com/petstore/dao/order_detail_dao.py | order_detail_dao.py | py | 862 | python | en | code | 0 | github-code | 6 |
74309701307 | from turtle import Turtle
class Scoreboard(Turtle):
def __init__(self):
super().__init__()
self.score = 0
self.color("white")
self.penup()
self.hideturtle()
self.highscore = 0
self.update_score()
def update_score(self):
self.goto(x=-50, y=320)
... | shuklaritvik06/PythonProjects | Day - 24/scoreboard.py | scoreboard.py | py | 1,202 | python | en | code | 0 | github-code | 6 |
9622430105 | #!/usr/bin/env python3
import base64
import c3, c5
from itertools import combinations
def beautify(candidates: list):
'''
Pretty prints the candidates returned
'''
s = ''
for c in candidates:
s += 'Keysize: {}\tHamming Distance: {}\n'.format( c['keysize'], c['normalized_distance'])
ret... | oatovar/Cryptopals-Solutions | c06.py | c06.py | py | 4,159 | python | en | code | 0 | github-code | 6 |
25602918486 | def pairs(s):
summa = 0
bitit = 0
edellinen = 0
pituus = 0
for i in range(0, len(s)):
pituus += 1
if s[i] == "1":
x = pituus * bitit + edellinen
summa += x
edellinen = x
bitit += 1
pituus = 0
return summa
if __name__ ==... | Noppacase22/DSA-2022 | bitpairs.py | bitpairs.py | py | 431 | python | fi | code | 0 | github-code | 6 |
34348826764 | from datetime import datetime
from django.contrib.auth.models import AbstractUser
from django.core.validators import MaxValueValidator, MinValueValidator
from django.db import models
YEAR_VALIDATION_ERROR = 'Нельзя добавить произведение из будущего'
SCORE_VALIDATION_ERROR = 'Оценка должна быть от 1 до 10'
class Use... | RomanK74/api_yamdb | api/models.py | models.py | py | 6,054 | python | en | code | 0 | github-code | 6 |
34670378486 | import sys
from math import log
from copy import deepcopy
from typing import Dict, List
from lib.graph import Graph, read_input_csv
class TraceNode:
def __init__(self, id):
self.id = id
self.preds = []
def shortest_trace(graph, node):
"""
Compute the shortest attack trace to the specifi... | pmlab-ucd/IOTA | python/graph_analyzer.py | graph_analyzer.py | py | 7,605 | python | en | code | 1 | github-code | 6 |
72416891708 | import os
import subprocess
from abc import ABC, abstractmethod
from datatig.models.git_commit import GitCommitModel
class RepositoryAccess(ABC):
@abstractmethod
def list_files_in_directory(self, directory_name: str) -> list:
return []
@abstractmethod
def get_contents_of_file(self, file_name... | DataTig/DataTig | datatig/repository_access.py | repository_access.py | py | 4,800 | python | en | code | 4 | github-code | 6 |
72249954427 | import json
import atexit
import subprocess
import yaml
import argparse
import textwrap
from dataclasses import dataclass
@dataclass
class Config:
num_nodes: int
config_path: str
def __init__(self, n: int, c: str):
self.num_nodes = n
self.config_path = c
self.place_holder_commands... | pesos/heiko | docker-networks.py | docker-networks.py | py | 3,338 | python | en | code | 13 | github-code | 6 |
28666209791 | import unittest
from name_function import get_formatted_name2
class NameTestCase(unittest.TestCase):
"""Tests for 'name_function.py"""
def test_first_last_name(self):
"""Do names like 'janis joplin' work?"""
# This is what the function is taking in as an example and comparing
formatted... | jerenteria/python_tests | test_name_function.py | test_name_function.py | py | 763 | python | en | code | 0 | github-code | 6 |
8263385619 | from pymongo import *
client = MongoClient("localhost", 27017)
db = client.tmp
collection = db.stu2
# 插入数据
# collection.insert({"name":"f", "gender":"f", "age":25})
# 修改操作
# collection.update({"name":"f"}, {"$set":{"name":"g"}})
# 删除数据
# collection.delete_one({"name":"g"})
# 查询数据
# cursor = collection.find()
# for... | luk0926/python | mongo/PyMongo.py | PyMongo.py | py | 517 | python | en | code | 0 | github-code | 6 |
74434743869 | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from test_generator.models import *
# Create your views here.
def home(request):
if request.user.is_authenticated:
status = "You're currently logged in."
else:
status = "You're not currently logged i... | alenamedzova/final_project | tester_services/views.py | views.py | py | 767 | python | en | code | 0 | github-code | 6 |
3151231607 | import sys
import form
from PyQt4 import QtCore, QtGui
import letters
import pygame
class ConnectorToMainWindow(QtGui.QMainWindow):
def __init__(self, parent = None):
super(ConnectorToMainWindow, self).__init__()
self.expected_letter = ''
self.timer = QtCore.QTimer()
self.ui = form... | Tal-Levy/homeSchooling | first_steps.py | first_steps.py | py | 3,110 | python | en | code | 0 | github-code | 6 |
1005006973 | import socket
import json
class pyWave:
configStr = "{ 'enableRawOutput': 'enableRawOutput', 'format': 'Json'}"
configByte = configStr.encode()
val = 0
def __init__(self, _host, _port):
self.host = _host
self.port = _port
def connect(self):
# This is a standard connectio... | kittom/Mind-Control-Car | BrainWaveReader/pywave.py | pywave.py | py | 1,713 | python | en | code | 0 | github-code | 6 |
38008765446 | """
# Analysis utilities
This script belongs to the following manuscript:
- Mathôt, Berberyan, Büchel, Ruuskanen, Vilotjević, & Kruijne (in prep.)
*Causal effects of pupil size on visual ERPs*
This module contains various constants and functions that are used in the main
analysis scripts.
"""
import random
import ... | smathot/causal-pupil | analysis_utils.py | analysis_utils.py | py | 23,689 | python | en | code | 2 | github-code | 6 |
40615421063 | import os
import time
from collections import Counter
import numpy as np
from sklearn.preprocessing import MinMaxScaler
import core.leading_tree as lt
import core.lmca as lm
from core.delala_select import DeLaLA_select
from utils import common
def load_parameters(param_path):
dataset = common.load... | alanxuji/DeLaLA | DeLaLA/DeLaLA-Letter.py | DeLaLA-Letter.py | py | 7,574 | python | en | code | 6 | github-code | 6 |
14769244814 | from defines import NUMBER_OF_RESULTS_FOR_QUERY
from logging_messages import log_debug_message
from memories_querying import (
retrieve_description_from_scored_results_entry,
search_memories,
)
from vector_storage import process_raw_data
from wrappers import validate_agent_type
def generate_summary_... | joeloverbeck/intelligent_agents_simulations | character_summaries.py | character_summaries.py | py | 4,287 | python | en | code | 0 | github-code | 6 |
35863181048 | import os
from trainingData import get_filenames
def stats_main():
f = open("dataList.csv", "w")
f.write("sample, file, supop\n")
samples, all_files = get_filenames()
for i in range(len(samples)):
sample = samples[i]
for file in all_files[i]:
text = writeData(sampl... | ryngrg/DNA_classifier | dataList.py | dataList.py | py | 984 | python | en | code | 0 | github-code | 6 |
14186262586 | import json
from sksurv.functions import StepFunction
from sksurv.linear_model import CoxPHSurvivalAnalysis
from sksurv.metrics import concordance_index_censored
from sksurv.nonparametric import nelson_aalen_estimator, kaplan_meier_estimator
from core.cox_wrapper import CoxFairBaseline
from core.drawing import draw_po... | DanilaEremenko/SurvBeX | main_run_synth_data_explainers.py | main_run_synth_data_explainers.py | py | 10,714 | python | en | code | 0 | github-code | 6 |
32108433366 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
from temba_client.v2 import TembaClient
from django.conf import settings
from django.db import migrations
from ureport.utils import datetime_to_json_date, json_date_to_datetime
logger = logging... | rapidpro/ureport | ureport/polls/migrations/0023_populate_flow_date.py | 0023_populate_flow_date.py | py | 1,499 | python | en | code | 23 | github-code | 6 |
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