seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | 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 ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
13453142002 | from .post_manager import PostManager
from app.data import post_response, posts_response, new_post_request
class NaiivePostManager(PostManager):
def __init__(self):
self.posts = []
def list_posts(self):
return posts_response.dump(self.posts)
def get_post_by_id(self, id):
p = next... | jj-style/FlaskReactTemplateApp | flask/app/facades/post/naiive_post_manager.py | naiive_post_manager.py | py | 1,074 | python | en | code | 0 | github-code | 1 |
279999487 | cu=[]
def fn(a,y):
x=a+y
cu.append(a)
if x<100:
return fn(y,x)
print(fn(0,1))
print(cu)
print()
#第二种：循环的方法
a=0
b=1
i=1
cu2 = []
while i<10:
c=a+b
# print(c)
cu2.append(c)
a=b
b=c
i += 1
print(cu2)
print()
#第三种：递归函数
def fi(n):
if n<=1:
return n
else:
... | zhouf1234/untitled3 | 函数编程函数练习10递归.py | 函数编程函数练习10递归.py | py | 417 | python | en | code | 0 | github-code | 1 |
14889123182 | import re
import os
def readFile():
path = os.path.join(os.path.expanduser('~'), 'listaSadow', 'listaSadow.txt')
with open(path,"r") as file:
for line in file.readlines():
yield line
def writeMongoCommand(listaCommand):
path = os.path.join(os.path.expanduser('~'), 'listaSadow', 'dbPopu... | tomektarabasz/courtApi | app/excel_to_db/dbparser.py | dbparser.py | py | 3,812 | python | en | code | 0 | github-code | 1 |
18021165672 | import Pyro4
import Pyro4.naming
from xbmcjson import XBMC
import _thread as thread
from subprocess import run, PIPE
from evdev import UInput, InputEvent, ecodes as e
from time import sleep
import logging as log
from pulse_mute import Pulse
@Pyro4.expose
class RemoteServer(object):
def __init__(self):
sel... | zteifel/raspberry_remote | htpc/server_pyro.py | server_pyro.py | py | 3,311 | python | en | code | 0 | github-code | 1 |
74418312994 | from __future__ import annotations
from typing import TypedDict
from movielog.reviews import serializer
from movielog.utils import export_tools, list_tools
from movielog.utils.logging import logger
StatGroup = TypedDict("StatGroup", {"reviewYear": str, "reviewsCreated": int})
def export() -> None: # noqa: WPS210
... | fshowalter/movielog | movielog/reviews/exports/review_stats.py | review_stats.py | py | 1,081 | python | en | code | 1 | github-code | 1 |
5163632616 | # Python3 program to illustrate deletion in a Binary Tree
# class to create a node with data, left child and right child.
class Node:
def __init__(self,data):
self.data = data
self.left = None
self.right = None
# Inorder traversal of a binary tree
def inorder(temp):
if(not temp):
return
inorder(temp.left)
... | manu-prakash-choudhary/dsaWithPython | Python3 program to illustrate deletion.py | Python3 program to illustrate deletion.py | py | 1,720 | python | en | code | 5 | github-code | 1 |
5856668077 | import logging
import sys
import os
LOG_CONFIG = {
'name': 'event-tracker',
'level': logging.DEBUG,
'stream_handler': logging.StreamHandler(sys.stdout),
'format': '%(asctime)s: %(module)s: %(levelname)s: %(message)s'
}
TWITTER_CONFIG = {
'api_key': os.environ["TWITTER_API_KEY"],
'api_secret':... | TheGBG/pic_sender | src/config/config.py | config.py | py | 666 | python | en | code | 0 | github-code | 1 |
36126670493 | from random import randint
from time import sleep
def maior(*arg):
arg = list(arg)
if len(arg) == 0:
arg.append(0)
print('-=' * 30)
print(f'Analisando valores passados...')
for c in arg:
print(c, flush=True, end=' ')
sleep(0.07)
print(f'Foram informados {len(arg)} valores ao todo.')
maior = arg[0]
... | VBAguiar/Python-Aprendizado | Desafios/desafio099.py | desafio099.py | py | 512 | python | pt | code | 0 | github-code | 1 |
16026511667 | import sys
import rdkit
from argparse import ArgumentParser
from rdkit import Chem, DataStructs
from rdkit.Chem import AllChem
import pandas as pd
pred_mols = pd.read_csv('',
header=None).values.reshape(-1)
ref_path = 'actives.txt'
with open(ref_path) as f:
next(f)
true_mols = [line.... | jkwang93/MCMG | eval/final_eval.py | final_eval.py | py | 1,343 | python | en | code | 59 | github-code | 1 |
17287949508 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 29 13:12:03 2021
@author: thuang
Plots the sensitivity delta = master_branch - my_branch
for 1e3 and 1e4.
"""
from matplotlib import pyplot as plt
import numpy as np
class delta_bars:
def __init__(self, data_dict, tolerance):
"""
Parameters
... | thuang-work/txrx_sync_rssi | plot_ber_delta.py | plot_ber_delta.py | py | 2,778 | python | en | code | 0 | github-code | 1 |
30045234159 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed unde... | openstack/senlin | senlin/api/common/serializers.py | serializers.py | py | 2,897 | python | en | code | 44 | github-code | 1 |
42819608473 | import time
import pyupm_grove as grove
import mraa
def AirRead():
air = mraa.Aio(2)
airValue = air.read()
return airValue
# Create the temperature sensor object using AIO pin 0
def TemperatureRead():
temp = grove.GroveTemp(0)
celsius = temp.value()
fahrenheit = celsius * 9.0/5.0 + 32.0;
r... | Lee-Kevin/19.HomeControlCenterBBGW | Code/sensor.py | sensor.py | py | 843 | python | en | code | 3 | github-code | 1 |
15956813860 | import os
import numpy as np
import pickle
import open3d as o3d
from absl import app
from absl import flags
flags.DEFINE_string('task', 'stack-block-pyramid', '')
flags.DEFINE_string('data_dir', './training_datasets/voxel_grids', '')
flags.DEFINE_string('data_source', './training_datasets/rgbd', '')
flags.DEFINE_integ... | tinwech/subgoal_success_detection | trans_rgbd_to_voxel.py | trans_rgbd_to_voxel.py | py | 5,622 | python | en | code | 0 | github-code | 1 |
41226237989 | from typing import List
class AES:
def __init__(self, plainText:str, key:str) -> None:
self.plainText = plainText
self.key = key
self.keyBytes = b''
def __pad(self, input:bytes) -> bytes:
length = 16 - (len(input) % 16)
paddedInput = input
paddedInput += bytes(... | Parth576/aes-des-python | aes/aes.py | aes.py | py | 1,386 | python | en | code | 0 | github-code | 1 |
23870021739 | """
This script is meant to be iterated many times to replicate the spawning of many error popups.
"""
from PySide2 import QtWidgets
import random
from PySide2.QtWidgets import QMainWindow, QApplication
from PySide2.QtGui import QIcon
from configparser import ConfigParser
import sys
app = QApplication(sys.argv)
appcfg... | blitpxl/nk-popup-generator | src/iterable_popup.py | iterable_popup.py | py | 1,783 | python | en | code | 0 | github-code | 1 |
14386612441 | '''
72. 두 정수의 합
두 정수 a와 b의 합을 구하라. + 또는 - 연산자는 사용할 수 없다.
'''
class Solution:
def getSum(self, a: int, b: int) -> int:
mask = 0xffffffff
while (b & mask) > 0:
carry = ( a & b ) << 1
a = (a ^ b) # XOR 연산
b = carry
return (a & ... | hyo-eun-kim/algorithm-study | ch19/taeuk/ch19_3_taeuk.py | ch19_3_taeuk.py | py | 453 | python | ko | code | 0 | github-code | 1 |
24843089063 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Run 1st, 2nd or 3rd level analyses using FSL FEAT.
First, fsf files are created based on template fsf files (one per analysis).
For each analysis from these templates one fsf file is created for each
participant and run (1st level only).
Analyses are defined in analy... | Cogitate-consortium/cogitate-msp1 | coglib/fmri/glm/02_run_fsf_feat_analyses.py | 02_run_fsf_feat_analyses.py | py | 51,299 | python | en | code | 0 | github-code | 1 |
822464889 | # Crie um programa que leia dois números e mostre a soma entre eles.
valor1 = input("Digite o primeiro valor")
valor2 = input("digite o segundo valor")
s = int(valor1) + int(valor2)
mensagem = "A soma entre {} e {} é {}"
print(mensagem.format(valor1, valor2, s))
#print("A soma entre", valor1, "e", valor2, "... | EstevesMarcelo/ExerciciosPython3 | ex001.py | ex001.py | py | 361 | python | pt | code | 1 | github-code | 1 |
27406796251 | from typing import Optional, List
from fastapi import Body, Depends, HTTPException, status, Query
from pydantic import EmailStr
from .app_helper import (
create_student,
get_student,
update_student,
delete_student,
)
from .models import (
Student,
StudentDelete,
StudentUpdate,
StudentRet... | Ajinkya7poppyi/DeepManager | app/modules/studentmanager/app.py | app.py | py | 4,792 | python | en | code | 0 | github-code | 1 |
40666007920 | import sys
sys.stdin = open("달팽이사각형_input.txt")
def iswall(x, y):
if x >= 0 and x < 5 and y >= 0 and y < 5 and result_list[x][y] == 0:
return True
else:
return False
def my_min(a):
mymin = 99
min_X = 0
min_Y = 0
for x in range(len(a)):
for y in range(len(a[x])):
... | manuck/Algorithm | codexpert/달팽이사각형.py | 달팽이사각형.py | py | 1,105 | python | en | code | 0 | github-code | 1 |
27107627726 | ___author___='Huang'
import numpy as np
import pandas as pd
def loadData(fileName):
dataSet=pd.read_table(fileName,header=None).values
dataArray=dataSet[:,:-1]
labelArray=dataSet[:,-1]
return dataArray,labelArray
def selectJrand(i,m):
j=i
while(j==i):
j=int(np.random.uniform(0,m))
... | SwimSweet/My-DataMining-Learning | Algorithm/SVM/SVM.py | SVM.py | py | 17,343 | python | en | code | 6 | github-code | 1 |
70861926755 | # fmt: off
import os
import sys
class OS:
def __init__(self):
self.rust_build = None
self.copy_lib = None
self.execute_python = None
self.compile_python = None
def lib_build(self):
os.system(self.rust_build)
os.system(self.copy_lib)
def dev_build(self):
... | becelli/kayn | project.py | project.py | py | 2,760 | python | en | code | 0 | github-code | 1 |
73948599075 | import pickle as pkl
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.ticker import FixedLocator, FixedFormatter
def log_histogram(data, name):
"""
Create ridgeline plots, where each individual plot is a
log-y scaled histogram.
data: 2D Numpy arr... | brohrer/scs-gallery | log_y_histograms.py | log_y_histograms.py | py | 3,565 | python | en | code | 9 | github-code | 1 |
32107199860 | from zlib import adler32
from functools import wraps
from flask_restful import Resource as DefaultResurce, ResponseBase, OrderedDict, request, unpack, marshal
VALIDATION_ERROR_MESSAGE = 'Fields validation error'
class marshal_with(object):
"""A decorator that apply marshalling to the return values of your metho... | annacorobco/flask-formula | v01/dockerfiles/backend/app/libs/controllers.py | controllers.py | py | 4,630 | python | en | code | null | github-code | 1 |
11087451085 | # Import the libraries
import nltk
from nltk.chat.util import Chat, reflections
import tkinter as tk
from tkinter import *
# Define the responses
pairs = [
['hi', ['Hello!', 'Hi there!']],
['what is your name', ['My name is Chatbot', 'I am Chatbot']],
['how are you', ['I am doing well', 'I am fine, thanks'... | Beimnet27/Simple-Python-Chatbot | SimpleChat_Bot.py | SimpleChat_Bot.py | py | 1,647 | python | en | code | 1 | github-code | 1 |
35663643651 |
import pandas as pd
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
import sys
def moving_averages(stock_name, tdays, mdays):
data = pd.read_csv('log_data.csv')
data = data.set_index('Date')
data.index = pd.to_datetime(data.index, format = '%Y-%m-%d %H:%M:%S')
ldata = data['Lo... | Kiran9351/project | moving_averages.py | moving_averages.py | py | 1,715 | python | en | code | 0 | github-code | 1 |
11806840571 |
import json
import requests
from config.const import SPOTIFY_HEADERS, SPOTIFY_URLS
from config.tokens import SPOTIFY_OAUTH_TOKEN, SPOTIFY_USER_ID
class SpotifyAPI:
name = 'spotify'
@staticmethod
def __get_request_headers():
headers = SPOTIFY_HEADERS
headers["Authorizatio... | simbi0nts/local-music-to-Spotify-transfer | api/spotify.py | spotify.py | py | 2,218 | python | en | code | 1 | github-code | 1 |
37117203904 | from flask import Flask, render_template, request
#import requests
import pickle
#import numpy as np
import sklearn
from sklearn.preprocessing import StandardScaler
app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))
@app.route('/',methods=['GET'])
def index():
return render_template('ind... | Swathikrishnatu/ibm-attrition--Final-project | web.py | web.py | py | 5,528 | python | en | code | 0 | github-code | 1 |
25650890509 | from django.urls import path
from repairshop import views
urlpatterns = [
path("", views.home, name="home"),
path("categories/<slug:sub_category>/", views.sub_category, name="sub_category"),
path("about/", views.about, name="about"),
path("categories/", views.categories, name="categories"),
path("... | bmyronov/eremont | repairshop/urls.py | urls.py | py | 441 | python | en | code | 0 | github-code | 1 |
45184258436 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao (askxuefeng@gmail.com)'
DEPRECATED = True
from google.appengine.ext import db
DEFAULT_GROUP = 'default'
def get_instance_settings_as_dict(widget_instance):
'''
get widget instance settings as dict which contains key-value... | Albertnnn/express-me | src/widget/store.py | store.py | py | 1,446 | python | en | code | 0 | github-code | 1 |
37338983645 | import server
import os
import config
import time
import threading
class Chord:
def __init__(self):
self.qnt_key = None
self.qnt_nodes = None
self.cfg = config.Config()
self.host = self.cfg.getHost().strip("\n")
self.portaInicial = int(self.cfg.getMinPort().strip... | ruehara/SdPython | chord.py | chord.py | py | 2,378 | python | en | code | 0 | github-code | 1 |
19076092035 | from __future__ import print_function, division # requires Python >= 2.6
# numpy and scipy imports
import numpy as np
import math
from scipy.sparse import kron, identity
from scipy.sparse.linalg import eigsh # Lanczos routine from ARPACK
from collections import namedtuple
####Initial parameter
#physical parameter
... | liuzhsunshine/tensor-network-practice | 3M-01-infinite-dmrg-1D-XXZ.py | 3M-01-infinite-dmrg-1D-XXZ.py | py | 4,911 | python | en | code | 0 | github-code | 1 |
22508709753 | import math
from enum import Enum
from numbers import Number
from typing import Tuple
import torch
import torch.nn.functional as F
import torch.distributed as dist
from torch.optim.lr_scheduler import CosineAnnealingLR, LinearLR
from accelerate import init_empty_weights
from transformers import (
AutoModelForCau... | microsoft/LMOps | minillm/minillm/utils.py | utils.py | py | 6,065 | python | en | code | 2,623 | github-code | 1 |
18291176938 | print('Calculadora Iniciada!!!\n')
info = 1; soma = 0; sub = 0; mult = 0; div = 0; poten = 1; num1 = 0; num2 = 0
def calcular_soma(num1: float, num2: float, soma: float):
num1 = float(input('\n\nDigite um Número: '))
num2 = float(input('Digite outro Número: '))
soma = num1 + num2
print('A soma do númer... | PlynioH/Calculadora | calcfunction.py | calcfunction.py | py | 2,227 | python | pt | code | 0 | github-code | 1 |
32390876497 | from django.test import TestCase, Client
from shortener_url.models import Url
from rest_framework import status
import json
class TestShortenerUrl(TestCase):
def setUp(self):
Url.objects.create(original_url="https://web.whatsapp.com/", custom_alias="whatsapp", shortened_url="http://shortener/u/whatsapp")... | karolGuimaraes/hire.me | tests.py | tests.py | py | 2,457 | python | en | code | null | github-code | 1 |
16074380398 | import tkinter as tk
from PIL import ImageTk, Image
class Caption:
""" """
text = ''
lastx = None
lasty = None
speech_bubble = 'imgs/spb-300x165.png'
thought_bubble = 'imgs/thought.png'
long_sample = ("I am the hope of the universe. I am the answer to all living things "
... | brianteachman/comic-dialog-builder | ui/caption.py | caption.py | py | 2,077 | python | en | code | 1 | github-code | 1 |
37282786931 | from typing import List, Dict
from fastapi import WebSocket
from fastapi import HTTPException, status
from sqlalchemy import exc
from sqlalchemy.ext.asyncio import AsyncSession
from database.models.chat_models.chat_model import Chat
from database.models.chat_models.members_model import ChatMember
from database.model... | Whitev2/WebsocketChatExample | app/src/crud/chat_crud.py | chat_crud.py | py | 4,420 | python | en | code | 0 | github-code | 1 |
20275789174 | from config import TG_KEY, GPT_KEY
from keybrds import kb
from redis_client import redis_client
import openai
from aiogram import Bot, Dispatcher, executor, types
openai.api_key = GPT_KEY
bot = Bot(token=TG_KEY)
dispatcher = Dispatcher(bot)
@dispatcher.message_handler(commands=["start"])
async def start_func(mess... | EgorShabalin/chat_bot | main.py | main.py | py | 2,315 | python | en | code | 0 | github-code | 1 |
34521429221 | import matplotlib.pyplot as plt
import seaborn as sns; sns.set() # for plot styling
import numpy as np
from sklearn.datasets.samples_generator import make_blobs
from numpy import genfromtxt
#humm, encontre este codigo en un servidor remoto
#estaba junto con el "traffic.pcap"
# que podria ser?, like some sample code
... | p4-team/ctf | 2018-09-15-trendmicro/misc_constellation/proc.py | proc.py | py | 1,156 | python | en | code | 1,716 | github-code | 1 |
73094670755 | import random
from Coverage import Coverage
def fuzzer(max_length=100, char_start=32, char_range=32):
length = random.randint(0, max_length + 1)
out = ""
for i in range(length):
out += chr(random.randint(char_start, char_start+char_range))
return out
def cgi_decode(s):
"""Decode the CGI-... | SlimPw/fuzzing-tuto | 4_simple_coverage.py | 4_simple_coverage.py | py | 3,329 | python | en | code | 0 | github-code | 1 |
20581596447 | """
热力图
"""
from pyecharts import options as opts
from pyecharts.charts import Geo
from pyecharts.globals import GeoType, ThemeType
from pyecharts.faker import Faker
import random, os
map = (
Geo(init_opts=opts.InitOpts(width="1000px", height="800px", renderer="canvas",
theme=Theme... | qugemingzizhemefeijin/python-study | ylspideraction/chapter15/_002charts_geo.py | _002charts_geo.py | py | 1,471 | python | en | code | 1 | github-code | 1 |
2967834130 | #!/usr/bin/env python3
# Laboratorio 12 - Tetris
# Nome: Marcos Diaz
# RA: 221525
ALTURA_TABULEIRO = 10
LARGURA_TABULEIRO = 10
# Funcao: atualiza_posicao
#
# Parametros:
# l: largura do bloco que ira cair
# a: altura do bloco que ira cair
# x: posicao horizontal inicial do bloco que ira cair
# desl:... | Marcos-Tonari-Diaz/MC102 | LAB12/lab12.py | lab12.py | py | 3,252 | python | pt | code | 1 | github-code | 1 |
20861603753 | """
Store things and forget them.
"""
import time
class Session:
"""
Session acts a dict, with a max size, and it forgets old items.
Eviction is lazy, or explicit, with garbage collection.
The code is compatible with asyncio.
"""
def __init__(self, max_size: int = 0, max_age: int = 0) -> ... | factorysh/aiohttp-stream | aiohttp_stream/session.py | session.py | py | 2,247 | python | en | code | 0 | github-code | 1 |
28925820348 | import requests
from bs4 import BeautifulSoup
def strip_string(string1):
for i in string1:
if i=='<':
var1 = string1[string1.index(i):string1.index(">")+1]
string1 = string1.replace(var1, "")
return string1
def scrape_meaning(a):
URL = f"https://www.dictionary.com/browse/{a}"... | priyanshusingh509/AashaEd | webscrape.py | webscrape.py | py | 1,199 | python | en | code | 1 | github-code | 1 |
2714834337 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.views import LoginView
from django.shortcuts import get_object_or_404
from rest_framework.authentication import BasicAuthentication, SessionAuthentication
from rest_framework.decorators import api_view, permission_classes, authentication... | artemovaka22pv191/back_movie | views.py | views.py | py | 7,622 | python | en | code | 0 | github-code | 1 |
34280674306 | from math import gcd
n1=int(input('\n\t Enter first number = '))
n2=int(input('\n\t Enter second number = '))
print('\n\t Primitive Pythagorean Triples between ',n1,'and ',n2,'are as below :-')
if n1>n2:
n1,n2=n2,n1
if n1<3:
n1=3
if n1==n2 or n2<5:
print('\n\tWrong Input')
else:
b,i=1,0
... | hack-parthsharma/Useless-Python-Codes | Pythagorean Triples.py | Pythagorean Triples.py | py | 821 | python | en | code | 5 | github-code | 1 |
7678123747 | # Let's learn about list comprehensions! You are given three integers x,y and z representing the dimensions of a cuboid along' \
# ' with an integer n. Print a list of all possible coordinates given by [i,j,k] on a 3D grid where the sum of it is not equal to n.' \
# ' Here, . Please use list comprehensions rat... | holcay92/HackerRankQuestions | list_comprehensions.py | list_comprehensions.py | py | 599 | python | en | code | 0 | github-code | 1 |
13607688058 | import pandas as pd
import numpy as np
from scipy.integrate import solve_ivp
import matplotlib.pyplot as plt
from numpy.random import rand
from random import sample, shuffle
plt.close()
import torch
from torch import nn
from torch.utils.data import Dataset, DataLoader
from itertools import permutations
import matplotli... | erlebach/basic_UODE | circle_2pts.py | circle_2pts.py | py | 8,461 | python | en | code | 0 | github-code | 1 |
9673124412 | import jc
from connectors.core.connector import get_logger, ConnectorError
from .constants import LOGGER_NAME
logger = get_logger(LOGGER_NAME)
def convert(config, params):
parser = params.get('parser')
cmd_output = params.get('command_output')
raw = params.get('raw', False)
if not parser or not cmd_... | fortinet-fortisoar/connector-json-convert | json-convert/convert.py | convert.py | py | 1,045 | python | en | code | 0 | github-code | 1 |
27401206260 | from __future__ import annotations
from typing import Literal, Optional
from cognite.client import data_modeling as dm
from pydantic import Field
from ._core import DomainModel, DomainModelApply, TypeList, TypeApplyList
__all__ = ["CogPool", "CogPoolApply", "CogPoolList", "CogPoolApplyList", "CogPoolFields", "CogPo... | cognitedata/pygen | examples-pydantic-v1/markets_pydantic_v1/client/data_classes/_cog_pool.py | _cog_pool.py | py | 3,336 | python | en | code | 2 | github-code | 1 |
73767645472 | import time
from datetime import datetime
from models.cancel_queue import CancelQueue
from models.last_updated_tracker import LastUpdatedTracker
from sqlalchemy import insert, update, select
from .get_orders import get_orders
from .get_orders_items import get_orders_items
from ... import my_logger, SP_EXCEPTIONS, pacif... | aman-saleem-qbatch/dagster-cloud-dev | ops/apis/helpers/orders_processor.py | orders_processor.py | py | 5,474 | python | en | code | 0 | github-code | 1 |
3259518810 | import art
import subprocess
clear = lambda: subprocess.call('cls||clear', shell=True)
print(art.logo)
list = []
def add_list(name,bid):
new_dic = {
"name": name,
"bid": bid
}
list.append(new_dic)
def declare_winner(list):
max_bid = 0
for dic in list:
if max_bid < int(di... | idris-bahce/Blind-Auction | Auction.py | Auction.py | py | 938 | python | en | code | 1 | github-code | 1 |
23466392621 | #!/usr/bin/python3
from brownie import web3, Attack
from scripts.deploy import deploy
from scripts.helpful_scripts import get_account
from colorama import Fore
from time import time
# * colours
green = Fore.GREEN
red = Fore.RED
blue = Fore.BLUE
magenta = Fore.MAGENTA
reset = Fore.RESET
def print_colour(solved):
... | Aviksaikat/Blockchain-CTF-Solutions | capturetheether/lotteries/GuessTheNewNumber_DONE/scripts/hack.py | hack.py | py | 1,700 | python | en | code | 1 | github-code | 1 |
8702134035 | import streamlit as st
import altair as alt
import inspect
from vega_datasets import data
@st.experimental_memo
def get_chart_99637(use_container_width: bool):
import altair as alt
from vega_datasets import data
airports = data.airports()
states = alt.topo_feature(data.us_10m.url, feature='states'... | streamlit/release-demos | 1.16.0/demo_app_altair/pages/115_Airports.py | 115_Airports.py | py | 1,260 | python | en | code | 78 | github-code | 1 |
35319358450 | Students = {}
with open("input.txt") as file:
for line in file:
info = line.strip().split(";")
Students[info[0]] = info[1:]
inputNumber = None
print("To exit input 0")
while inputNumber != "0":
inputNumber = input("Student Number to Search:")
if inputNumber != "0":
if inputNumber i... | ZePedroFernandes/LEI_ASI | Parte 1/Aula3/Ex3/Ex3_B.py | Ex3_B.py | py | 434 | python | en | code | 0 | github-code | 1 |
1585948759 | from typing import Optional
from decimal import Decimal
from validator_collection import validators
from highcharts_core import errors
from highcharts_core.metaclasses import HighchartsMeta
from highcharts_core.decorators import class_sensitive
from highcharts_core.options.sonification.track_configurations import (In... | highcharts-for-python/highcharts-core | highcharts_core/options/sonification/__init__.py | __init__.py | py | 13,339 | python | en | code | 40 | github-code | 1 |
34013188604 | '''
Array where each index contains the number of 1s in it's binary form.
Brute Force: Is to obviouly convert each number to binary representation and count number of 1s. This has Time complexity O(n * len(binstring))
However, we can use these rules of binary numbers:
- Count(n) = Count(n // 2) for even numbers,... | kjingers/Leetcode | Problems/CountingBits/CountingBits.py | CountingBits.py | py | 776 | python | en | code | 0 | github-code | 1 |
2328641718 | class Solution(object):
def maxArea(self, height):
"""
:type height: List[int]
:rtype: int
The code is to find the area of the rectangle thats it!
The code works perfectly for any input
But time limit is exceeded all the time
complexityy is 0(n^2)
"""
... | yagamiram/Leetcode_problems_in_python | container_with_most_water.py | container_with_most_water.py | py | 1,061 | python | en | code | 0 | github-code | 1 |
18259114828 | import json
import boto3
from datetime import datetime
# get ec2 metrics
def get_metric_ec2(namespace, metricname, client):
response = client.get_metric_statistics(
Namespace=namespace,
MetricName=metricname,
Dimensions=[
{
'Name': 'InstanceI... | BrunosBastos/ES_TDG | MetricsService/lambda_function.py | lambda_function.py | py | 2,499 | python | en | code | 0 | github-code | 1 |
24129528828 | import cv2
filepath = "vtest.avi"
# cap = cv2.VideoCapture(filepath)
# Webカメラを使うときはこちら
class Capture:
"""
Captureクラスは動画の動体検出をサポートするメソッドを提供します。
"""
def __init__(self,movie_path:str|None=None,device:int=0) -> None:
"""initialize capture mode. and configs."""
if not movie_path:
... | ik0326/aisolution | test/capture.py | capture.py | py | 2,167 | python | ja | code | 0 | github-code | 1 |
11807410755 | def not_empty(s):
return s and s.strip()
list(filter(not_empty, ['A', '地方', ' B阿斯顿发 ', None, 'C', ' ']))
str = 'sakdj '
str.strip( )
str
sorted([28,2345,723467,12541023,23,-1878,89*52],key=abs)
list(map(lambda x:x*x,[1,2,4,5,6,10]))
50**3
7//2.1
thisset = set(("Google", "Runoob", "Taobao"))
thisset.update({"... | Gmle7/myPythonCode | filter.py | filter.py | py | 378 | python | en | code | 0 | github-code | 1 |
27821623666 | from flask import Flask, request
import json
from datetime import datetime
import requests
from lights import light
from constants import Tables, Params, PHUE
from sqlite import sqlite
app = Flask(__name__)
Light1 = light.Light(1)
Light2 = light.Light(3)
@app.route("/listener")
def generate_refresh_token():
c... | Shak-codes/Smart-Home-Routines | database/api/app.py | app.py | py | 2,648 | python | en | code | 0 | github-code | 1 |
73791587875 | #program to print stars(*) in nxn matrix form
'''eg:
5
* * * * *
* * * * *
* * * * *
* * * * *
* * * * *
'''
class Solution:
def printSquare(self, N):
for i in range (N):
for j in range(N):
print("*",end=" ")
print( )
if __name__ == '__main__':
t = int(input(... | NithyakumarA/100days-coding-challenge | cc day25.py | cc day25.py | py | 450 | python | en | code | 0 | github-code | 1 |
16676517988 | from django.shortcuts import render
from django.http import HttpResponse
from django.template import Template,Context
# Create your views here.
def suma(request,num1,num2):
res = num1+num2
contenido = """
<html>
<head>
<body>
<h2>El resultado es: %s </h2>
</body></head>
</html>
""" %res
return HttpRe... | Yahir5/examenunidad3 | ESYG/prueba3/uno/views.py | views.py | py | 660 | python | es | code | 0 | github-code | 1 |
73062305953 |
from mrjob.job import MRJob
from mrjob.protocol import JSONProtocol, RawValueProtocol, JSONValueProtocol
from mrjob.step import MRStep
import json
import numpy as np
def multivar_gauss_pdf(x, mu, cov):
'''
Caculates the multivariate normal density (pdf)
Parameters:
-----------
x - nu... | AmazaspShumik/MapReduce-Machine-Learning | Gaussian Mixture Model MapReduce/IterationGaussianMixtureMR.py | IterationGaussianMixtureMR.py | py | 8,086 | python | en | code | 22 | github-code | 1 |
18480733171 | from typing import List
class UserCard():
gCardIds = []
def __init__(self, tPackage: tuple=()) -> None:
"""
Parameters
----------
tPackage : tuple
(id, userId, cardCode, level, bond, userTags, moves, skills)
+ id : str
+ userId : str
+ code... | kaleidocli/gachaSim | model/user/UserCard.py | UserCard.py | py | 1,776 | python | en | code | 1 | github-code | 1 |
38604647476 | import torch
from torch.utils.data import DataLoader
import torchaudio
import time
import warnings
warnings.filterwarnings('ignore')
yesno_data = torchaudio.datasets.YESNO('.', download=False)
def collate_fn(batch):
tensors = [b[0].t() for b in batch if b]
tensors = torch.nn.utils.rnn.pad_sequence(tensors, b... | sangje/sslsv | number_worker_test.py | number_worker_test.py | py | 1,994 | python | en | code | 1 | github-code | 1 |
74540295072 | import json
import os
from tornado import web
from .base import BaseApiHandler, check_xsrf, check_notebook_dir
from ...api import MissingEntry
class StatusHandler(BaseApiHandler):
@web.authenticated
@check_xsrf
def get(self):
self.write({"status": True})
class GradeCollectionHandler(BaseApiHan... | jupyter/nbgrader | nbgrader/server_extensions/formgrader/apihandlers.py | apihandlers.py | py | 11,194 | python | en | code | 1,232 | github-code | 1 |
6818157468 | import identifier_phase, biomarker, clinical_trial_code, patient_number, lines_of_therapy, study_evaluation
import utils.chunk_utils as cu
import utils.json_utils as ju
def get_overall_info(content):
overall_dict = {}
identifier_phase_dicts = identifier_phase.get_final_result(content)
overall_dict['Identi... | ye8303019/ChatGPT_demo | clinical_result/overall.py | overall.py | py | 1,832 | python | en | code | 27 | github-code | 1 |
72545619235 | #!/usr/bin/env python3
import numpy as np
import time
import cv2
import matplotlib.pyplot as plt
def corr(F, I):
"""
Input
F: A (k, ell, c)-shaped ndarray containing the k x ell filter (with c channels).
I: An (m, n, c)-shaped ndarray containing the m x n image (with c channels).
Returns... | pol-francesch/aa274_group31 | AA274A_HW3/Problem_3/linear_filter.py | linear_filter.py | py | 2,582 | python | en | code | 1 | github-code | 1 |
71526482593 | # Detection Cross Sections
# All cross sections in cm^2
# All energies in MeV
from .constants import *
from .fmath import *
from .photon_xs import PECrossSection
from .matrix_element import *
from matplotlib.pyplot import hist2d
# Define ALP DETECTION cross-sections
#### Photon Coupling ####
def iprimakoff_dsigma_... | athompson-tamu/alplib | det_xs.py | det_xs.py | py | 5,154 | python | en | code | 2 | github-code | 1 |
34469969520 | n, m = map(int, input().split())
grid = [[0]*m for _ in range(n)]
s = ord('A')
dxs = [0, 1, 0, -1]
dys = [1, 0, -1, 0]
dir_num = 0
x, y = 0, 0
grid[x][y] = s
def in_range(x, y):
return 0 <= x < n and 0 <= y < m
count = 1
for i in range(1, n*m):
nx = x + dxs[dir_num]
ny = y + dys[dir_num]
if not (in_r... | yeafla530/algorithms | 코드트리/NM/시뮬레이션/빙빙돌며사각형채우기.py | 빙빙돌며사각형채우기.py | py | 624 | python | en | code | 0 | github-code | 1 |
22314540095 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 25 20:12:52 2017
@author: dell
"""
import collections
def topKFrequent(nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[int]
"""
cnt=collections.Counter(nums)
sort_fre=sorted(cnt.items(),key=lambda d:d[1... | ding1995/Leetcode | 347.py | 347.py | py | 444 | python | en | code | 0 | github-code | 1 |
39286301539 | import torch
import torch.nn as nn
import torch.nn.functional as F
from pycls.models.resnet_style.shake_shake_function import get_alpha_beta, shake_function
import pycls.utils.logging as lu
logger = lu.get_logger(__name__)
def initialize_weights(module):
if isinstance(module, nn.Conv2d):
nn.init.kaiming... | PrateekMunjal/TorchAL | pycls/models/resnet_style/resnet_shake_shake.py | resnet_shake_shake.py | py | 7,326 | python | en | code | 56 | github-code | 1 |
11995643688 | from rest_framework import generics
from rest_framework.response import Response
from .models import Ganado, Categoria, Raza, LitrosDeLeche
from .serializers import GanadoSerializer,CategoriaSerializer, RazaSerializer, LitrosDeLecheSerializer
from django.views.generic import View
class GanadoListCreateAPIView(generi... | edwinjojoa/proyecto_grado | backend/ganado/views.py | views.py | py | 2,860 | python | en | code | 0 | github-code | 1 |
2683877642 | import random
from turtle import Turtle, Screen
import turtle
colors = ["red", "orange", "yellow", "green", "blue", "purple"]
is_race_on = False
i = 0
all_turtles = []
red = Turtle(shape="turtle")
red.color(colors[i])
i += 1
screen = Screen()
screen.setup(width=500, height=400)
user_bet = screen.textinput(title="Make... | Bootbastick/100_days_with_python | Day19/turtle_race.py | turtle_race.py | py | 1,588 | python | en | code | 0 | github-code | 1 |
72117823394 | from telnetServer import TelnetServer
from player import Player
from mud import Mud
from worker import Worker
from busevent import BusEvent
from mysql import Mysql
from callback import Callback
import time
def loadBroadcasts(mysql, callbacks, worker):
for i in mysql.getEntry("select time_interval, message from bro... | L3nn0x/mud | main.py | main.py | py | 961 | python | en | code | 0 | github-code | 1 |
70196467554 | L=[]
K=[]
M=[]
R=[]
def Solution():
for i in range(100,1000):
L.append(i)
print(L)
for a in range(1,10):
for b in range(0,10):
for c in range(0,10):
K=[str(a),str(b),str(c),str(c),str(b),str(a)]
new=''.join(K)
print(new)
M.append(int(new))
print(M)
for j... | oen0thera/project | Solving_Math_Problems_With_Python_Coding/Problem 4.py | Problem 4.py | py | 463 | python | en | code | 0 | github-code | 1 |
26553030524 | from flask_app.config.mysqlconnection import connectToMySQL
from flask import flash
from flask_app.controllers.users import User
class Sighting:
def __init__(self, data):
self.id = data['id']
self.location = data['location']
self.scenario = data['scenario']
self.date_of_sighting = d... | OhJackie21/Python-Practice | practice/sasquatch2/flask_app/models/sighting.py | sighting.py | py | 4,436 | python | en | code | 0 | github-code | 1 |
28575068555 | from . import bp
from flask.views import MethodView
from app import db
from app.schemas import JobQueryArgsSchema, JobSchema
from app.models import Job
@bp.route('/jobs')
class Jobs(MethodView):
@bp.arguments(JobQueryArgsSchema, location="query")
@bp.response(JobSchema(many=True))
@bp.paginate()
def g... | rabizao/starter_flask | backend/app/api/routes.py | routes.py | py | 800 | python | en | code | 0 | github-code | 1 |
41139310734 | import json
import time
import os
import datetime
from scraper.halooglasi import get_latest_with_retry
from scraper.db import check_if_exists, insert_property
from scraper.discord import send_to_discord
from scraper.logger import logger
def get_local_time():
"""
convert current time to CEST
"""
cest_... | avramdj/halo-oglasi-scraper | scraper/__main__.py | __main__.py | py | 1,400 | python | en | code | 1 | github-code | 1 |
16921598410 | import util
from command import process_command
import session as discord_session
import filters
from discord import Embed
from logger import log
# for the memes
from random import choice
@util.client.event
async def on_message(message):
if message.author.bot:
# check to make sure it didn't send message
... | ComedicChimera/Null-Discord-Bot | bot.py | bot.py | py | 3,439 | python | en | code | 0 | github-code | 1 |
7735751532 | #!/usr/bin/env python
# vim: set expandtab tabstop=4 shiftwidth=4:
import sys
from ftexplorer.data import Data
data = Data('BL2')
locker_count = 0
for (name, node) in data.get_level_package_nodes('GaiusSanctuary_P'):
for point in node.get_children_with_name('willowpopulationopportunitypoint'):
point_str... | apocalyptech/ft-explorer | sandbox/count_lockers.py | count_lockers.py | py | 538 | python | en | code | 4 | github-code | 1 |
15114313938 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 2 11:44:08 2019
@author: ashish
"""
import pandas as pd
import numpy as np
import seaborn as sn
import matplotlib.pyplot as plt
import time
dataset = pd.read_csv('new_appdata10.csv')
# Data Preprocessing
response = dataset["enrolled"]
dataset ... | singhashish4000/MachineLearning-Supervised-Logistic-Regression-DCTSBAB | directing_customers_to_subscribstions_through_app_behavior_analysis_Model.py | directing_customers_to_subscribstions_through_app_behavior_analysis_Model.py | py | 2,008 | python | en | code | 1 | github-code | 1 |
70243838433 | #tire_volume.py
from datetime import datetime
import math
print('This program calculte the tire volume')
print()
form_1 = 0
volume_1 = None
w=float(input('Please Enter the width of the tire in mm: '))
a =float(input('Please Enter the aspect ratio of the tire: '))
d =float(input('Enter the diameter of the whe... | CFrancoChavez/CFrancoChavez | tire_volume.py | tire_volume.py | py | 755 | python | en | code | 0 | github-code | 1 |
15501808433 | import discord
import asyncio
from discord.ext.commands import Bot
from discord.ext import commands
import platform
import logging
import os
import pymongo
from urllib.parse import urlparse
from datetime import datetime
# constants
MESSAGE_START_CONFIRMED = 'Okay. Asking feedback from **{}** to **{}**.'
MESSAGE_WRONG_... | szilvesztererdos/feedbackbot | feedbackbot.py | feedbackbot.py | py | 18,976 | python | en | code | 0 | github-code | 1 |
41976957988 | import argparse
import logging
import os
import shutil
import subprocess
import time
logging.basicConfig(level=logging.DEBUG)
parser = argparse.ArgumentParser(description="Famous Submitter")
parser.add_argument("-t", "--tag", type=str, help="Dataset tag.")
parser.add_argument("-i", "--input", type=str, help="Input fi... | SUEPPhysics/SUEPCoffea_dask | resubmit.py | resubmit.py | py | 5,108 | python | en | code | 3 | github-code | 1 |
75149854432 | '''Task
You are given the shape of the array in the form of space-separated integers,
each integer representing the size of different dimensions,
your task is to print an array of the given shape and integer type using the tools numpy.zeros and numpy.ones.'''
import numpy as np
N,M,P = map(int,input().split())
arr... | karinabk/Python | NumPy/zeros_ones.py | zeros_ones.py | py | 519 | python | en | code | 1 | github-code | 1 |
73454469792 | import os
import ctypes
dir_path = os.path.dirname(os.path.realpath(__file__))
lib = ctypes.cdll.LoadLibrary(dir_path + "/" + "larcv2_to_larcv3.so")
class larcv2_to_larcv3(object):
def __init__(self):
lib.larcv2_to_larcv3_new.argtypes = []
lib.larcv2_to_larcv3_new.restype = ctypes.c_void_p
... | DeepLearnPhysics/larcv2_to_larcv3 | larcv2_to_larcv3.py | larcv2_to_larcv3.py | py | 3,015 | python | en | code | 0 | github-code | 1 |
18854083745 | import numpy as np
from copy import deepcopy
class Car:
# x, y in meters
# angle in radians
# velocity in meters/sec
# dt in seconds
def __init__(self, x_init, y_init, L, theta_init, phi_init, velocity_init, dt, goal_loc,
max_velocity=25.0, min_velocity=-25.0, max_angle=45,
... | sriharis123/DynamicObstacleAvoidance-RL | car.py | car.py | py | 10,172 | python | en | code | 7 | github-code | 1 |
27970434469 | # coding=utf-8
import os
import logging
from django.core.management.base import BaseCommand, CommandParser
from django.conf import settings
from django.apps import apps
from django.utils.translation.trans_real import translation
from prettytable import PrettyTable, ALL, FRAME, NONE
logger = logging.getLogger(__name__)... | xiaolin0199/bbt | apps/ws/management/commands/gendoc.py | gendoc.py | py | 14,000 | python | en | code | 0 | github-code | 1 |
31915854876 | # -*- coding: utf-8 -*-
"""
TRABAJO 1.
Estudiante: JJavier Alonso Ramos
"""
# Importamos módulo para trabajar con datos matemáticos
import numpy as np
# Importamos módulo para gráficos 2D
import matplotlib.pyplot as plt
# Importamos el módulo para formater tablas
import pandas as pd
# Importamos el módu... | JJavier98/AA | PRACTICAS/P1/Template/Práctica1.py | Práctica1.py | py | 40,408 | python | es | code | 0 | github-code | 1 |
7467875956 | import numpy as np
from sklearn.linear_model import LinearRegression, Ridge
from sklearn.preprocessing import PolynomialFeatures
import matplotlib.pyplot as plt
# read data
def readData(path):
data = []
with open(path, 'r') as f:
line = f.readline()
while line:
d = list(map(float, line.str... | Dm697/EE559-Supervised-Machine-Learning-Midterm | q1.py | q1.py | py | 5,538 | python | en | code | 0 | github-code | 1 |
8651064290 | from django.shortcuts import render, redirect
from .models import Csvdata
import csv, io, os
from django.http import HttpResponse, Http404
from myproject.settings import STATIC_ROOT
# Home page
def home(request):
return render(request, 'myapp/home.html')
# Read sqlite3.db, load datas
def showdata(request):
cs... | milescm/VisualPTP | myapp/views.py | views.py | py | 4,249 | python | en | code | 1 | github-code | 1 |
14644906241 | import subprocess
def getPortMapArgs(container):
return ['-p', container['portMap']] if 'portMap' in container else []
def getEnvArgs(container):
return [arg for env in container['env'] for arg in ['-e', env]] if 'env'\
in container else []
containers = [
# { 'name': 'master' },
# { 'name': 'logging', 'p... | rosesonfire/docker-try-out | start.py | start.py | py | 1,400 | python | en | code | 0 | github-code | 1 |
25272762590 | #!/usr/bin/env python
'''
This file works in python2
The code is largely modified from http://deeplearning.net/tutorial/mlp.html#mlp
First use read_caffe_param.py to read fc7 and fc8 layer's parameter into pkl file.
Then run this file to do a trojan trigger retraining on fc6 layer.
This file also requires files from ht... | chenyanjiao-zju/Defense-Resistant-Backdoor | backdoor/mnist/retrain/load_data.py | load_data.py | py | 5,876 | python | en | code | 0 | github-code | 1 |
26384838275 | #!/usr/bin/env python3
"""
module train_model
"""
import tensorflow.keras as K
def train_model(network, data, labels, batch_size, epochs,
validation_data=None, early_stopping=False, patience=0,
verbose=True, shuffle=False):
"""
trains a model using mini-batch gradient descent
... | jhonaRiver/holbertonschool-machine_learning | supervised_learning/0x06-keras/6-train.py | 6-train.py | py | 1,876 | python | en | code | 0 | github-code | 1 |
20254723614 | """
file: practica1
autor: davidpillco
"""
# Importa el codecs y json
import codecs
import json
# Lee el archivo
archivo = codecs.open("datos.txt","r")
# Lee en lineas
lineas_diccionario = archivo.readlines()
# Pasa los diccionario a lista
lineas_diccionario = [json.loads(l) for l in lineas_diccionario]
# Func... | ProgFuncionalReactivaoct19-feb20/practica04-davidpillco | practica1.py | practica1.py | py | 1,684 | python | es | code | 0 | github-code | 1 |
6033788614 | import typing as t
"""
When inserting a string into a trie we first check if the root node has the
first letter of the string we want to insert.
--> When inserting a new word into the Trie:
We start from the root of the tree. Then we iterate over all chars in the str
to insert. For each char (iteration), I check the... | EvgeniiTitov/coding-practice | coding_practice/data_structures/tries/trie_implementation_1.py | trie_implementation_1.py | py | 3,871 | python | en | code | 1 | github-code | 1 |
2396940716 | import os
from typing import Dict, List
from nltk.corpus import wordnet as wn
from tqdm import tqdm
import models
import parse
import preprocess
import utils
from sequence import TextSequence
def predict_babelnet(input_path: str, output_path: str, resources_path: str) -> None:
"""
DO NOT MODIFY THE SIGNATUR... | Riccorl/elmo-wsd | elmo-wsd/predict.py | predict.py | py | 10,774 | python | en | code | 2 | github-code | 1 |
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