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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
27321032293 | """
Kela Purchase data preprocessing
Reads Kela Purchase data, applies the preprocessing steps below and writes the result to files split by year.
- Convert column names to uppercase
- Rename HETU to FINREGISTRYID
- Format dates to YYYY-MM-DD
- Drop duplicates rows
- Fix data types
Input files:
- For years 1995-2019... | dsgelab/finregistry-data | finregistry_data/registries/kela_purchase.py | kela_purchase.py | py | 3,850 | python | en | code | 0 | github-code | 6 |
44138812715 | def solution(data, col, row_begin, row_end):
answer = 0
# col번째 인덱스 기준 오름차순 정렬
#for i in range(0, len(data) - 1):
# currv = data[i][col]
# for j in range(i, len(data) - 1):
# nextv = data[j][col]
# if currv > nextv:
# data[i], data[j] = data[j], data[i]
# 중복 ... | ralpioxxcs/problemsolving | programmers/table_hash.py | table_hash.py | py | 1,112 | python | ko | code | 0 | github-code | 6 |
20840870665 | """
файл с утилитами
"""
import os
from time import perf_counter
import numpy as np
from sklearn.metrics import (
brier_score_loss,
matthews_corrcoef,
roc_curve,
precision_recall_curve,
auc,
cohen_kappa_score,
classification_report,
# confusion_matrix,
)
from sklearn.metrics import reca... | Lenin22/ML-Demo | utils.py | utils.py | py | 1,071 | python | en | code | 0 | github-code | 6 |
3326207971 | import json
import logging
from datetime import datetime
import requests
from system import settings
from system.constants import MODACTION_WH, USELESS_DETAILS
webhook = settings.DISCORD_MODLOG_WEBHOOK
bots = ['AutoModerator', 'FloodgatesBot']
log = logging.getLogger('worker.dsws')
def make_embed(entry):
ts = d... | rchile/mod-toolbox | toolbox/discord_ws.py | discord_ws.py | py | 2,511 | python | en | code | 3 | github-code | 6 |
16370593696 | import re
import sys
from collections import defaultdict
def get_num_overlapping_points(lines):
counts = defaultdict(lambda: 0)
for (x1, y1), (x2, y2) in lines:
if x1 == x2:
# hortizonal
y11, y22 = (y1, y2) if y2 > y1 else (y2, y1)
for y in range(y11, y22 + 1):
... | sjsawyer/aoc-2021 | q05/q05.py | q05.py | py | 1,577 | python | en | code | 0 | github-code | 6 |
37219847623 | # For Else & while else
target = 7
search = [1,2,3,4,5,6,7]
searchlen = int(len(search)+1)
for i in range(searchlen+1):
if i == target:
print(f"{i} is the target")
break
else: # Alltså om inte for loopen breakas så kommer detta köras
print("I didn't find the target")
print(f"{target} is... | GGisMee/Python | intermediate_python/trick/9__For_Else_While_Else.py | 9__For_Else_While_Else.py | py | 564 | python | en | code | 3 | github-code | 6 |
26625473616 | """Pluggable newsletter handling."""
from django import forms
from django.utils.translation import ugettext_lazy as _
from livesettings import config_value
from satchmo_store.accounts.signals import satchmo_registration
from satchmo_store.contact.signals import satchmo_contact_view
from satchmo_utils import load_modul... | dokterbob/satchmo | satchmo/apps/satchmo_ext/newsletter/__init__.py | __init__.py | py | 2,206 | python | en | code | 30 | github-code | 6 |
41313263665 | import appdaemon.plugins.hass.hassapi as hass
import time
from babel.numbers import format_number, format_decimal
class wasserdroger(hass.Hass):
def initialize(self):
self.listen_state(self.inputhandler, self.args["trigger"], old="off", new="on")
self.listen_state(self.inputhandler, self.args["tri... | balk77/Home-AssistantConfig | appdaemon4/conf/apps/wasserdroger.py | wasserdroger.py | py | 1,208 | python | en | code | 3 | github-code | 6 |
29686629055 | from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.request import Request
from rest_framework import status
from drf_yasg.utils import swagger_auto_schema
from ..models import (
Appeal,
)
from ..serializers import (
AppealSerializer,
)
class AppealCreate(A... | quvvatullayev/tour | tour/views/appeal.py | appeal.py | py | 2,625 | python | en | code | 0 | github-code | 6 |
27213136275 | import sys
N, M = map(int, sys.stdin.readline().rstrip().split())
board = [[0 for i in range(N + 1)] for j in range(N + 1)]
visited = [False for _ in range(N + 1)]
answer = 0
def dfs(idx):
visited[idx] = True
for i in range(1, N + 1):
if board[idx][i] == 1 and visited[i] is False:
dfs(i)... | hammii/Algorithm | BAEKJOON_python/11724_연결요소의개수.py | 11724_연결요소의개수.py | py | 564 | python | en | code | 2 | github-code | 6 |
43865643259 | import os
import re
import ssl
from datetime import datetime, timedelta
from typing import Any, Dict, Optional, TypeVar, Union
import ciso8601
T = TypeVar("T", str, None)
# From https://stackoverflow.com/questions/4628122/how-to-construct-a-timedelta-object-from-a-simple-string
# Answer: https://stackoverflow.com/a/... | No767/Kumiko | Bot/Libs/utils/utils.py | utils.py | py | 3,388 | python | en | code | 20 | github-code | 6 |
32188046557 | # 프로그래머스 - 완전탐색(피로도)
# 순열을 사용해서 던전 순서를 모두 만들어 주었다.
# 이후 만들어진 던전 순서를 사용하고 for문을 사용해서 result의 결과가
# 가장 많은 것으로 값을 바꾸어 주는 방식을 사용하였다.
from itertools import permutations
def solution(k, dungeons):
answer = 0
a = []
for i in range(len(dungeons)):
a.append(i)
permute = permutations(a,len(dungeons))
... | kcw0331/python-for-coding-test | programmers-coding/피로도.py | 피로도.py | py | 794 | python | ko | code | 0 | github-code | 6 |
29646015431 | from openerp import models
class ProcurementOrder(models.Model):
_inherit = 'procurement.order'
def _find_procurements_from_stock_planning(
self, company, to_date, states=None, from_date=None, category=None,
template=None, product=None, location_id=None, periods=False,
without_pu... | odoomrp/odoomrp-wip | stock_planning_procurement_generated_by_plan/models/procurement_order.py | procurement_order.py | py | 1,034 | python | en | code | 119 | github-code | 6 |
71573663549 | import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
import regex as re
from sqlalchemy import create_engine, String, Float, DATE
import pymssql
from datetime import date, datetime
import matplotlib.pyplot as plt
import os
from dotenv import load_dotenv
from empiricaldist import Cdf
impo... | emadam/glassdoor | app.py | app.py | py | 9,171 | python | en | code | 0 | github-code | 6 |
21234086726 | arr=input()
substr=[]
for i in range(0,len(arr)):
for j in range(i,len(arr)):
substr.append(arr[i:j+1])
substr=list(map(int,set(substr)))
pronic_set=[]
n=1
p_no=0
while(p_no<=int(arr)):
p_no=n*(n+1)
pronic_set.append(p_no)
n+=1
pronic_no=[]
for i in substr:
for j in pron... | AniruddhaNaidu/Python-Coding | Pronic numbers.py | Pronic numbers.py | py | 413 | python | en | code | 0 | github-code | 6 |
25208776927 | from flask import Flask, request, jsonify
import os
import jwt
from flask_cors import CORS, cross_origin
from dynamodb import DB
application = Flask(__name__)
db = DB()
CORS(application, headers=['Content-Type', 'Authorization'], supports_credentials=True,
expose_headers='Authorization', origins='*')
JWT_S... | DiscreetAI/explora-server | server/main.py | main.py | py | 2,020 | python | en | code | 9 | github-code | 6 |
34839514933 | #LATIHAN 6
#PROGRAM MENAMPILKAN LIST KE DALAM TABEL
nilai = [{'nim' : 'A01', 'nama' : 'Agustina', 'mid' : 50, 'uas' : 80},
{'nim' : 'A02', 'nama' : 'Budi', 'mid' : 40, 'uas' : 90},
{'nim' : 'A03', 'nama' : 'Chicha', 'mid' : 100, 'uas' : 50},
{'nim' : 'A04', 'nama' : 'Donna', 'mid' : 20, '... | tolipbukankalengkaleng/Pemrograman-Tersturktur | latihan6chapter9.py | latihan6chapter9.py | py | 1,246 | python | sr | code | 0 | github-code | 6 |
72179452347 |
import json
with open("test.txt","r",encoding="utf-8") as f:
text = f.read()
"hallo".replace()
# removing unwanted characters from text
words = text.replace('\n',' ').replace('.',' ').replace(',',' ').replace(';',' ').replace('!',' ').replace('?',' ').replace(':',' ')
# split the text into list of words, drop ... | Zadest/python-5 | word_count_dict.py | word_count_dict.py | py | 889 | python | en | code | 0 | github-code | 6 |
14235086016 | from http.client import HTTPSConnection
from tkinter import filedialog as fd
from tkinterdnd2 import *
from threading import *
from tkinter import *
from json import *
from sys import *
from tkinter import ttk
from time import sleep
import tkinter as tk
import pyimgur
import random
import sys
'''
GUIDES I USED
https... | vaperyy/ImageBot_for_Discord | image_bot.py | image_bot.py | py | 13,058 | python | en | code | 0 | github-code | 6 |
36780535651 | from typing import List, Union, Iterator, Tuple
from cell import Cell
class World:
NEIGHT = (
(-1, -1),
(-1, 0),
(-1, 1),
(0, -1),
(0, 1),
(1, -1),
(1, 0),
(1, 1)
)
def __init__(self, width, height):
self.w = width
self.h = ... | AzaubaevViktor/evo_life | world.py | world.py | py | 2,710 | python | en | code | 0 | github-code | 6 |
70911318267 | # -*- coding: utf-8 -*-
import scrapy
from time import sleep
from random import randint
class ImdbSpiderSpider(scrapy.Spider):
name = 'imdb_spider'
allowed_domains = ['www.imdb.com']
start_urls = ['https://www.imdb.com/search/title/?release_date=2019-01-01,&sort=num_votes,desc']
page_count = 0
de... | ArRosid/Scrapy-Project | scrapy_project/spiders/imdb_spider.py | imdb_spider.py | py | 1,669 | python | en | code | 1 | github-code | 6 |
44476674074 | from abc import ABCMeta, abstractmethod
from typing import List
import torch
import torch.nn as nn
import torch.nn.functional as F
from app.config.settings import FONT_LABEL_TO_META, NUM_TOP_K
from app.domain.entity import BoundingBox, PredictFont
from app.domain.preprocess import Preprocessor
from PIL.Image import Im... | kishimoto-banana/font-search-api | app/domain/predictor.py | predictor.py | py | 2,308 | python | en | code | 0 | github-code | 6 |
2639510151 | import nextcord
from nextcord import (
Interaction,
slash_command
)
from nextcord.ext import commands
coins = "<a:coins:952154182851383416>"
mainshop = [
{
"buyname": ["bodyguard", "bg", "Bodyguard", "BODYGUARD", "BG", "bODYGUARD"],
"name": "<:Thief:952151438157570078> Bodyguard",
"p... | coderFlameyosFlow/Famu-Bot | cogs/economy/shop.py | shop.py | py | 2,024 | python | en | code | 1 | github-code | 6 |
4702516944 | import math
import os
import random
import re
import sys
"""
跳云问题:
假如有一串包含0或者1的数字表示云,1表示危险的云,0表示安全的
一个人最远跳2个(假设此题终有解)
编程计算最少跳几下
"""
# Complete the jumpingOnClouds function below.
def jumpingOnClouds(c):
i=0 # current position
s=0 # steps need
while i<c.__len__()-1:
if i+2<c.__len__() and c[i+2]==... | relidaning/myPython | hackerrank/jumpingOnClouds.py | jumpingOnClouds.py | py | 607 | python | zh | code | 0 | github-code | 6 |
26797450576 | from birch.cells.cell import Cell
from birch.util import BG_COLOR
from random import shuffle
class ConnectableCell(Cell):
_masks = {
'': '00000000',
'_h': '01102222',
'_v': '10012222',
'_tl': '00112220',
'_tr': '01012202',
'_bl': '10102022',
'_br': '11000222'... | lysol/birch | birch/cells/connectable.py | connectable.py | py | 5,363 | python | en | code | 0 | github-code | 6 |
73712873787 | # -*- coding: utf-8 -*-
import pandas as pd
def DropCols():
for num in range(1,2,1):
print("now is dropping columns in---"+"HO_",num,".csv")
df=pd.read_csv("HO_{}.csv".format(str(num) ) )
#df=df.drop['Unnamed: 0',1]
x=[0]
df.drop(df.columns[x],axis=1,inpla... | jasscical/pythonLearning | 03_去掉某一列.py | 03_去掉某一列.py | py | 895 | python | en | code | 0 | github-code | 6 |
42967514090 | class CalibrationAlert:
def __init__(
self,
device_id,
command,
session,
step,
direction,
):
self.device_id = device_id
self.command = command
self.session = session
self.step = step
self.direction =... | sjuggernaut/smartback | infra/domain/alert/calibration_alert.py | calibration_alert.py | py | 576 | python | en | code | 0 | github-code | 6 |
26602476689 | import numpy as np
import pandas as pd
import datetime as dt
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func, inspect
from flask import Flask, jsonify
app = Flask(__name__)
engine = create_engine("sqlite:///Resources/haw... | SofiaAS1/SQLalchemy-Challenge | app.py | app.py | py | 3,377 | python | en | code | 0 | github-code | 6 |
2721595571 | import random
###############################################################################
# Name: recombine
#
# Assumption: None
#
# Purpose: Recombine takes two lists and change the contents of a third
# to corresponding chunks of the first two lists. This is done
# by copying over elements... | emanuelbust/agentlDel-Rho | cycle.py | cycle.py | py | 10,802 | python | en | code | 0 | github-code | 6 |
70945121788 | # 웹에서 검색자료 읽은 후 워드 클라우드로 출력
from bs4 import BeautifulSoup
import urllib.request
from urllib.parse import quote
from boto.dynamodb import item
#keyword = input('검색어:')
keyword = '장마'
print(keyword)
print(quote(keyword))
# 동아일보 검색 기능 사용
target_url = "http://www.donga.com/news/search?query=" + quote(keyword)... | kangmihee/EX_python | py_morpheme/pack/morp3wordcloud.py | morp3wordcloud.py | py | 1,969 | python | en | code | 0 | github-code | 6 |
39373093044 | import requests
__author__ = "Griffith Asare Awuah (@gwuah)"
class ogma():
"""Language Detection Library For Pythonistas"""
def __init__(self, accessKey):
self.payload = {'access_key': str(accessKey)}
def detect(self, phrase) :
self.payload['query'] = str(phrase)
try :
r = requests.get('http://apilaye... | gwuah/ogma | api.py | api.py | py | 1,561 | python | en | code | 1 | github-code | 6 |
71840538747 | from flask import Flask
from flask import render_template
from flask import Response, request, jsonify
app = Flask(__name__)
current_id = 4
sales = [
{
"id": 1,
"salesperson": "James D. Halpert",
"client": "Shake Shack",
"reams": 1000
},
{
"id": 2,
"salesperson": "Stanley Hudson",
"client": "Toast",
... | haoshuai999/User-Interface | cu-paper-infinity&ppc/app.py | app.py | py | 2,393 | python | en | code | 0 | github-code | 6 |
21430351891 | '''
Created For Mega Projects Repository
Turtle Graphics - This is a common project where you create a floor of 20 x 20 squares.
Using various commands you tell a turtle to draw a line on the floor. You have move forward, left or right, lift or drop pen etc.
Do a search online for "Turtle Graphics" for more informatio... | SambitAcharya/Projects | My Solutions/Graphics-And-Multimedia/turtlegraphics.py | turtlegraphics.py | py | 1,211 | python | en | code | 0 | github-code | 6 |
14987411881 | from PIL import Image
import os
from tkinter import filedialog
import tkinter as tk
def convert_pdf():
index = 0
path_picture = filedialog.askdirectory()
dire = 'Converted'
path_pdf = os.path.join(path_picture , dire)
os.mkdir(path_pdf)
my_list = os.listdir(path_picture)
for i in my_list... | Elkayamacc/Image2PDF | PDFConverterV2.py | PDFConverterV2.py | py | 561 | python | en | code | 0 | github-code | 6 |
32397358077 | import os
import random
import numpy as np
import torch
from scipy import ndimage as ndi
from torch.nn import functional as F
from torch.utils.data import Dataset
from my_utils import normalize
class UNetDataset(Dataset):
def __init__(self, data_dir, shape, train, transform):
self.shape = ... | alienzyj/PPos | my_dataset.py | my_dataset.py | py | 10,080 | python | en | code | 0 | github-code | 6 |
30814462620 | """
Script Description
- train NADA model
Usage
- $ python train_nada.py --config_path [config_path] --name [exp_name] --suppress
- $ cat [config_path] | python train_nada.py --pipe --name [exp_name] --suppress
Author
- Minsu Kim
- Dongha Kim
History
- 230419 : MINSU , init
- adaptation ... | studio-YAIVERSE/studio-YAIVERSE | train_nada.py | train_nada.py | py | 13,226 | python | en | code | 20 | github-code | 6 |
69894764349 | import sys
import random
class HashSolution:
def __init__(self, string):
# Store string input and length
self.string = string
self.string_len = len(string) + 1
# Initialize hash tables
self.hash_table_1 = [0] * self.string_len
self.hash_table_2 = [0] * self.string_len
# Initialize coef tables
self.... | gregh13/Data-Structures | Week3_hash_tables/4_substring_equality/substring_equality.py | substring_equality.py | py | 2,938 | python | en | code | 0 | github-code | 6 |
19214467121 | from replit import clear
print("Welcome to the secret auction program!")
def highest_bidder(bid_record):
highest = 0
winner = ""
for bidder in bid_record:
bid_amount = bid_record[bidder]
if bid_amount > highest:
highest = bid_amount
winner = bidder
print(f"The winner is {winner} with a bid ... | Iyemizee/Secret_Auction_Project | main.py | main.py | py | 678 | python | en | code | 0 | github-code | 6 |
24293515303 | def is_valid(board, row):
if row in board:
return False
column = len(board)
for occupied_column, occupied_row in enumerate(board):
if abs(occupied_row - row) == abs(occupied_column - column):
return False
return True
def n_queens(n, board=[]):
if n == len(board):
... | ckallum/Daily-Interview-Pro | solutions/N-Queens.py | N-Queens.py | py | 789 | python | en | code | 16 | github-code | 6 |
42786347897 | import os
import math
import glob
import time
import random
import torch
from PIL import Image
from torch.utils import data
from torchvision.transforms import RandomCrop
import numpy as np
import core.io as io
import core.clip_utils as cu
import multiprocessing as mp
class CachedAVSource(data.Dataset):
def __ini... | fuankarion/active-speakers-context | core/dataset.py | dataset.py | py | 16,534 | python | en | code | 52 | github-code | 6 |
9272119407 | import os
import numpy as np
import spacy
import re
import json
import pyttsx3 #replace it to librosa
import os
import librosa
import numpy as np
from fastdtw import fastdtw
from gtts import gTTS
from scipy.spatial.distance import euclidean
from fastdtw import fastdtw
import shutil
import config
def create_folder_if_... | RamSankarTheDeveloper/TeenyTinyTitleTrove | utils.py | utils.py | py | 10,032 | python | en | code | 0 | github-code | 6 |
72333132669 | """
@File : AdaBoost.py
@Time : 2020-05-26
@Author : BobTsang
@Software: PyCharm
@Email : bobtsang@bupt.edu.cn
"""
# 这次用的是乳腺癌数据集做的二分类任务，因为鸢尾花数据集太小，特征较少，对于提升树不太cover
# Minst:596x31
# time:62s
import pandas as pd
import numpy as np
from sklearn import datasets
import random
import time
# 手工实现打乱数据，不采用sklearn调... | BobTsang1995/StatisticalLearningMethod-python- | AdaBoost.py | AdaBoost.py | py | 12,463 | python | zh | code | 2 | github-code | 6 |
70379694589 | #!/usr/bin/python
import pygtk
pygtk.require('2.0')
import gtk
from gtk import gdk
def destroy(widget, data=None):
gtk.main_quit()
w = gtk.Window(gtk.WINDOW_TOPLEVEL)
w.set_title("Hello from python")
w.connect('destroy', destroy)
v = gtk.TextView()
v.set_editable(False)
b = v.get_buffer()
w.add(v)
w.show_all()... | carlosmn/buffer-image | pygtk-image.py | pygtk-image.py | py | 451 | python | en | code | 0 | github-code | 6 |
16471014091 | # Solution comment: Cheating. Found the list of periods on OEIS and counted the
# odds from that list.
from math import sqrt
# First determine how many non squares there are < 10000.
count = 0
for i in range(2, 10000+1):
if abs(sqrt(i) - int(sqrt(i))) > 1e-6:
count += 1
# Read count periods from the numb... | bsamseth/project-euler | 064/64.py | 64.py | py | 593 | python | en | code | 0 | github-code | 6 |
72025042747 | #!/usr/bin/python
# -*- coding: iso-8859-1 -*-
import os,time
while True:
time.sleep(10)
result = os.system("ping www.google.com -c 5 | grep '0% packet loss'")
if not result == 0:
os.system("echo 'No internet connection. shutting down...' >> /home/pi/cam/data/log.txt")
time.sleep(5)
os.system("sudo shutdown -h... | tomasBjornfot/picam | closeIfDisconnected.py | closeIfDisconnected.py | py | 327 | python | en | code | 0 | github-code | 6 |
19200731938 | import argparse
from inference import Inference
from model import FashionModel
from train import Trainer
from data import TrainDataset
class ArgumentSelectError(Exception):
pass
def training():
train_dataset = TrainDataset(
image_dir=args.train_data_dir,
csv_path_train=f'data/dataset_csv/lis... | omerferhatt/deep-fashion-classification | main.py | main.py | py | 4,105 | python | en | code | 1 | github-code | 6 |
14624971996 | #coding:utf-8
from math import e
import numpy as np
year=150
def func(x):
if x<0:
return e**(g*x)
else:
return 1
x_1=[-3/float(40000)*x**2+3/float(200)*x for x in range(1,year)]
x_2=[]
T=3/2*(year-50)
a=1/T**2
for x in range(1,year):
if(x<=T):
x_2.append(a*x**2)
... | liangzp/2018-American-Interdisciplinary-Contest-in-Modeling | Code/random_model.py | random_model.py | py | 1,910 | python | en | code | 0 | github-code | 6 |
70732572987 | """
Package for conversion between Julian date and other date/time
representations.
"""
from .api import *
__version__ = '0.1.0'
__author__ = 'Nikita Churilov'
__maintainer__ = __author__
__email__ = 'churilov-ns@yandex.ru'
__license__ = 'MIT'
| churilov-ns/juldate | juldate/__init__.py | __init__.py | py | 248 | python | en | code | 0 | github-code | 6 |
5637517912 | from urllib.request import urlopen
from datetime import datetime
import json
from settings import my_lec_list, base_url
class InfoList(object):
def __init__(self):
self.json = self.get_api()
self.table = self.json["table"]
self.count = self.json["count"]
self.body = self.json["body... | pddg/learning | models.py | models.py | py | 2,174 | python | en | code | 0 | github-code | 6 |
30614657486 | from unittest import main
from re import compile
from ir_datasets.formats import ToucheQuery, TrecQrel, ToucheTitleQuery
from ir_datasets.formats.touche import ToucheQualityQrel
from test.integration.base import DatasetIntegrationTest
class TestTouche(DatasetIntegrationTest):
# noinspection PyTypeChecker
de... | Heyjuke58/ir_datasets | test/integration/touche.py | touche.py | py | 9,700 | python | en | code | null | github-code | 6 |
7627165577 | from nodoProfundidad import NodoProfundidad as nodo
from posicion import Posicion as posicion
"""
0 -> vacio
1 -> pinocho
2 -> cigarrillos
3 -> zorro
4 -> geppeto
5 -> sin camino """
"""matriz = [
[0, 3, 0, 3, 0],
[1, 5, 0, 0, 0],
[0, 0, 5, 5, 4],
[0, 0, 0, 2, 0],
[0, 0, 0, 0, 0]
]"""
def Verific... | GustavoA198/proyecto1-IA | amplitud_IA.py | amplitud_IA.py | py | 5,702 | python | es | code | 0 | github-code | 6 |
19637644362 | import requests
import datetime
response = requests.get("https://blockchain.info/rawaddr/42e58ccd620fab780e46095f4b3f6987aa253219")
data = response.json()
first_tr_id = data["txs"][0]["hash"]
first_tr_time = data["txs"][0]["time"]
a = [1, 2, 3, 4]
for n in range(len(a)):
print(a[n])
| maciek1066/training | bitcoin_api.py | bitcoin_api.py | py | 294 | python | en | code | 0 | github-code | 6 |
16898559994 | #!/usr/bin/env python3
import itertools
def print_header(x, y, z = None):
print("join_digits(", seq2digit(x), ", ", seq2some(y), ", ", seq2digit(z), ") ->", sep="")
def produce(seq):
while seq:
if len(seq) == 4:
yield seq2node(seq[:2])
yield seq2node(seq[2:])
brea... | platbox/nanometer | py/ftree_generate.py | ftree_generate.py | py | 1,194 | python | en | code | 3 | github-code | 6 |
39931219674 | # Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def isPalindrome(self, head):
"""
:type head: ListNode
:rtype: bool
"""
fast = slow = head
while fast... | bolan2014/leetcode | easy/PalindromeLinkedList.py | PalindromeLinkedList.py | py | 824 | python | en | code | 0 | github-code | 6 |
3981438238 | '''
You are given an array of intervals - that is, an array of tuples (start, end). The array may not be sorted, and could contain overlapping intervals. Return another array where the overlapping intervals are merged.
For example:
[(1, 3), (5, 8), (4, 10), (20, 25)]
This input should return [(1, 3), (4, 10), (20, 25... | MateuszMazurkiewicz/CodeTrain | InterviewPro/2019.11.17/task.py | task.py | py | 1,423 | python | en | code | 0 | github-code | 6 |
8747012693 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 24 23:16:21 2019
@author: ADMIN
"""
import pandas as pd
import numpy as np
import AllFunctions as af
#import dateutil
import math
item_data=pd.read_csv("item_data.csv")
log_data=pd.read_csv("view_log.csv",parse_dates=['server_time'],infer_datetime_format=True)
train_d... | kinjaldand/MLProjects | AdClickPredictWNSHack/Work2.py | Work2.py | py | 9,745 | python | en | code | 0 | github-code | 6 |
32005344445 | import torch.nn as nn
from transformers import BertModel
from services.text_similarity.settings import Settings
class BERTClassifier(nn.Module):
def __init__(self, freeze_params=False):
super(BERTClassifier, self).__init__()
self.settings = Settings
self.bert = BertModel.from_pretrained(s... | R-aryan/Text-Similarity-Using-BERT | backend/services/text_similarity/application/ai/model.py | model.py | py | 1,945 | python | en | code | 0 | github-code | 6 |
43724697977 | import random
from game_logic.game import Agent
from game_logic.gameExtended import GameStateExtended
import numpy as np
import entregables.calcular_distancias as calcular_distancias
from game_logic import mcts_util, game_util
class MaxNAgent(Agent):
def __init__(self, index, max_depth = 2, unroll_type = "MC... | cevarodriguez/MaxN-algorithm | entregables/maxNAgent.py | maxNAgent.py | py | 12,724 | python | es | code | 0 | github-code | 6 |
26113994325 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "16/05/2018"
import logging
import sys
import numpy
import pytest
from silx.utils.testutils import ParametricTestCase
from silx.math import colormap
_logger = logging.getLogger(__name__)
class TestNormalization(ParametricTestCase):
"""Test silx.mat... | silx-kit/silx | src/silx/math/test/test_colormap.py | test_colormap.py | py | 10,291 | python | en | code | 106 | github-code | 6 |
42220245466 | # 사용자가 이름과 이메일을 입력하면 이메일 순서대로 단순 연결 리스트를 생성하는 프로그램을 작성.
"""
클래스 선언 부분
"""
class Node:
def __init__(self, data=None, link=None):
self.data = data
self.link = link
"""
함수선언부분
"""
def printNodes(start):
current = start
while current != None:
print(current.data, end=' ')
current... | War-Oxi/Oxi | Python_Code/Algorithm/Chapter4_Exam1.py | Chapter4_Exam1.py | py | 1,370 | python | ko | code | 1 | github-code | 6 |
20086331044 | """
Contains classes Quandle, Biquandle, Identity_Quandle,
Alexander_Quandle, and Singquandle.
FIXME:
- Nothing for now.
TODO:
- If X is a rack with operation a*b, then it is a birack if we
define a**b as the identity a**b == a. Thus biquandle matrix2
should be optional.
- Does the above apply... | RafaelMri/Pyknots | modules/quandles.py | quandles.py | py | 13,410 | python | en | code | 1 | github-code | 6 |
8560654831 | """Bad style, but I don't know better where to put this."""
import logging
import shelve
from functools import wraps
logger = logging.getLogger(__name__)
def shelve_memoize(filename):
"""On-disk cache decorator using shelve."""
def decorator_shelve_memoize(func):
@wraps(func)
def wrapper_shel... | leogott/document-clustering | utils.py | utils.py | py | 755 | python | en | code | null | github-code | 6 |
40814128 | """
Plot the results.
"""
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import datasets
# Set a nice seaborn style for matplotlib
sns.set_theme()
#%%
# Load results from csv
df = pd.read_csv("jeopardy_results.csv", index_col="idx")
#%%
# Load the dataset from the Hugging Face Hub
datas... | BlackHC/player_of_jeopardy | analysis.py | analysis.py | py | 6,596 | python | en | code | 10 | github-code | 6 |
73826476026 | #
# Exemplo de como usar os comando Break e Continue
#
def loop_break():
for x in range(5, 10):
if x == 7:
break
print("O valor de x é: ", x)
loop_break()
def loop_continue():
for x in range(5, 10):
if x == 7:
continue
print("O valor de x é: ", x)
l... | Feltrim/CursoPython-LinkedInLearning | Exercicios/arquivos_de_exercicios_descubra_o_python/Cap. 02/breakContinue_start.py | breakContinue_start.py | py | 337 | python | pt | code | 0 | github-code | 6 |
13583035400 | #!/usr/bin/env python3
import random
import base64
from argparse import ArgumentParser
from os import urandom
from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
from cryptography.hazmat.backends import default_backend
from flask import Flask, jsonify, request, send_from_directory
app = Fla... | zer0x64/breaking-aes-101 | challenges/ctr/ctr2/ctr2.py | ctr2.py | py | 2,060 | python | en | code | 1 | github-code | 6 |
73369850107 | #!/usr/bin/env python3
import rospy
import socket as s
import numpy as np
from cv_bridge import CvBridge
import cv2
import pickle
import struct
import time
# import ROS messages
from sensor_msgs.msg import Image
from sensor_msgs.msg import CameraInfo
from std_msgs.msg import Header
from utils import Msg
import con... | yv1es/MRMapper | core/ros_node/mr-mapper/src/camera_publisher.py | camera_publisher.py | py | 3,667 | python | en | code | 0 | github-code | 6 |
30777311029 | from container.file import File
class FileMapper:
def __init__(self, diff):
self.diff = diff
def map_files(self, project_path, fun_get_file_content):
array = self.diff.split('\n')
array.pop()
files = []
for line in array:
args = line.split('\t')
... | farmapromlab/GITAG | mapper/file_mapper.py | file_mapper.py | py | 651 | python | en | code | 1 | github-code | 6 |
15860887121 | import pandas as pd
import numpy as np
def compute_difference_coverage(criteria1, criteria2, save_metrics=False):
df1 = pd.read_csv("res_tests_" + criteria1 + ".csv")
df2 = pd.read_csv("res_tests_" + criteria2 + ".csv")
df_res = pd.DataFrame([])
for i in range(len(df1.index)):
curr_df2 = df2.... | Stoyan4050/Training-a-Machine-Learning-Model-for-Optimal-Fitness-Function-Selection-with-the-Aim-of-Finding-Bug | ML_Algorithm/DataPreparation.py | DataPreparation.py | py | 2,000 | python | en | code | 0 | github-code | 6 |
7169499809 | from flask import Blueprint, request, jsonify, abort
from modules.logger import logging
from modules.config import config
import modules.database as Database
import modules.models as Models
import modules.ldap as Ldap
import modules.scanner as Scanner
from modules.tools import get_token,requires_auth,check_auth,calc_... | aDrongo/ldap-device-surveyor | backend/modules/views.py | views.py | py | 4,004 | python | en | code | 0 | github-code | 6 |
33047477278 | from threading import *
from Partida import *
from socket import *
Uno = socket(AF_INET, SOCK_STREAM)
Uno.bind(("26.52.80.182", 9997))
Uno.listen()
print("\033[40m{}".format(""))
def sala_de_espera(cliente, index, sala):
global clientes, permissao
mandar(cliente, f"""Seja Bem Vindo ao UNO ONLINE\nSala {sal... | raquelmcoelho/uno | Game.py | Game.py | py | 1,814 | python | pt | code | 0 | github-code | 6 |
72833443067 | # PET DATA PROCESSING
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
num_examples = 1386
num_examples2 = 1386
res = 64
def folder_to_array(file_name, cat_name, X, idx1, numf, numt, y, label):
idx_normal = range(idx1, idx1+numf)
idx_flip = range(idx1+numf, idx1+2*num... | alexgilbert747/thesis | pets_data2.py | pets_data2.py | py | 1,969 | python | en | code | 0 | github-code | 6 |
16542834327 | import sys
from nuitka import Options
from nuitka.ModuleRegistry import (
getDoneModules,
getUncompiledModules,
getUncompiledTechnicalModules,
)
from nuitka.plugins.Plugins import Plugins
from nuitka.PythonVersions import python_version
from nuitka.Tracing import inclusion_logger
from nuitka.utils.CStrings... | Nuitka/Nuitka | nuitka/code_generation/LoaderCodes.py | LoaderCodes.py | py | 5,236 | python | en | code | 10,019 | github-code | 6 |
73008025149 | # Lesson 26 my code
from pyspark.sql import SparkSession #import spark sql with session and row
from pyspark.sql import Row #both of these thigns we use to itneract with SparkSQL and dataFrames
spark = SparkSession.builder.appName("SparkSQL").getOrCreate() #the get or create again, creating a new spark session or conn... | CenzOh/Python_Spark | MyCode/sparkSql.py | sparkSql.py | py | 2,183 | python | en | code | 0 | github-code | 6 |
31536555500 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
test_django-private-chat
------------
Tests for `django-private-chat` models module.
"""
from test_plus.test import TestCase
from django_private_chat.models import *
class DialogMethodTest(TestCase):
def setUp(self):
self.dialog = Dialog()
self... | ridwanray/ChatApp | tests/test_models.py | test_models.py | py | 2,273 | python | en | code | 3 | github-code | 6 |
27025126914 |
#Loops
#python program to find the sum of all elements of a list.
#list of number.
list=[2,4,5,6,78,89,56,7,2]
#sum variable to the numbers.
sum=0
for val in list:
sum=sum+val
#print sum of all elements.
print("The sum of all elements in list",sum)
#python program which will find all such numbers which a... | geetika25/python_problems | python2.py | python2.py | py | 511 | python | en | code | 0 | github-code | 6 |
6368283311 | import datacube
import sys
import xarray as xr
import numpy as np
import geopandas as gpd
from datacube.virtual import construct_from_yaml
from datacube.storage.masking import mask_invalid_data
from osgeo import gdal, osr
site = sys.argv[1]
grid = gpd.read_file('/scratch/a.klh5/mangrove_data/shapefiles/{}.shp'.format... | klh5/wm_generator | gen_water_mask.py | gen_water_mask.py | py | 2,809 | python | en | code | 0 | github-code | 6 |
20040165317 | num_list = [0.136, 0.082, 2.691, 1.175, 4.737, 0.083, 0.082, 1.161, 2.41, 0.0, 7.421, 6.496, 5.012, 1.145, 6.512, 4.547, 4.245, 2.093, 3.511, 3.059, 1.247, 1.882, 7.155, 8.881, 5.095]
num_avg = 0.0
rolling_avg = []
for i,flt in enumerate(num_list, 1):
num_avg += flt
rolling_avg.append(num_avg/i)
num_avg = num... | mwboiss/DSI-Prep | intro_py/float_accum_3.py | float_accum_3.py | py | 910 | python | en | code | 0 | github-code | 6 |
8585416211 | import torch
import torch.nn as nn
from torch import cat, exp
import torch.nn.functional as F
from torch.nn.functional import pad
from torch.nn.modules.batchnorm import _BatchNorm
class my_AFF(nn.Module):
'''
Point-wise Convolution based Attention module (PWAtt)
'''
def __init__(self, channels=64, r=... | Al-Dailami/DTSC-CAFF | dtsc_caff_model.py | dtsc_caff_model.py | py | 21,192 | python | en | code | 1 | github-code | 6 |
18920197222 | from __future__ import annotations
import sys
from typing import TYPE_CHECKING
from ansiblelint.rules import AnsibleLintRule
if TYPE_CHECKING:
from ansiblelint.file_utils import Lintable
from ansiblelint.utils import Task
def _changed_in_when(item: str) -> bool:
if not isinstance(item, str):
re... | ansible/ansible-lint | src/ansiblelint/rules/no_handler.py | no_handler.py | py | 2,753 | python | en | code | 3,198 | github-code | 6 |
28970147437 | import typing as t
import collections
import flask_restx
import flask_restx.fields as frf
import marshmallow.fields as mf
from marshmallow_pynamodb import ModelSchema
from model.base_model import Model
from common.util import create_table
class Serializer(ModelSchema):
_api_model = None
def __init__(self, ... | wizzdev-pl/iot-starter | web_server/server/core/serializer.py | serializer.py | py | 3,081 | python | en | code | 7 | github-code | 6 |
43085023977 | # -*- coding: utf-8 -*-
from InterpolatePoints import *
class InterpolatePoints(object):
def __init__(self):
self.label = "Interpolate points"
self.description = ""
self.canRunInBackground = True
def getParameterInfo(self):
param_points_table = arcpy.Parameter(
di... | gchone/ConcordiaRiverLab-FloodTools | InterpolatePoints_Interface.py | InterpolatePoints_Interface.py | py | 6,053 | python | en | code | 1 | github-code | 6 |
22083642525 | n = input()
n = list(n)
lst = []
for i in range(0,len(n)-1):
count = 1
for j in range(i+1,len(n)):
if n[i] == n[j]:
count += 1
else:
break
lst.append(count)
print(max(lst)) | vamshipv/code-repo | CSES/repeat.py | repeat.py | py | 224 | python | en | code | 0 | github-code | 6 |
72038050107 | #!/usr/bin/env python
# coding: utf-8
# In[5]:
# Conventions are the same as Bourbaki, for example,
# Type E convention 1 3 4 5 6 7 8
# 2
# Input under above convention if type E
J1=[1,2,3,4];
J2=[5,6,7,8];
Type="E";n=6;
D=DynkinDiagram([Type, n]);
# main program.
from sage.combinat.root_syst... | Hai-Yu-Chen/RegOfUnipConjClassInTP | Regularity of Unipotent Elements in Total Positivity.py | Regularity of Unipotent Elements in Total Positivity.py | py | 18,759 | python | en | code | 0 | github-code | 6 |
27712857647 | class Solution:
def maxProfit(self, prices: List[int]) -> int:
min = float('inf')
maxProfit = 0
for i in prices:
if i < min:
min = i
elif i -min > maxProfit:
maxProfit = i - min
return maxProfit | jemis140/DSA_Practice | Best_Time_To_Buy_Stock.py | Best_Time_To_Buy_Stock.py | py | 304 | python | en | code | 0 | github-code | 6 |
7987154827 | #Problem link:https://practice.geeksforgeeks.org/problems/bst-to-max-heap/1
#Time Complexity: O(N)
#Space Complexity: O(N)
class Solution:
def convertToMaxHeapUtil(self, root):
arr = []
i = 0
#inOrder traversal
#to get the values sorted
def ino(node):
... | Ishantgarg-web/DailyCodingProblems | Python/Tree/BST to max heap.py | BST to max heap.py | py | 891 | python | en | code | 3 | github-code | 6 |
6916432675 | from tkinter import *
import first_task
import second_task
import third_task
class Lab1:
def __init__(self):
self.root = Tk()
# Create Gui for first task
self.file_frame = Frame(self.root)
self.fr1 = LabelFrame(self.file_frame, text="First task", font="Times 16")
self.fr2... | Eglantinee/AMO | Lab1/main.py | main.py | py | 10,546 | python | en | code | 0 | github-code | 6 |
70267296829 |
import epyk as pk
# Create a basic report object
page = pk.Page()
page.headers.dev()
tb1 = page.ui.layouts.table()
tb1.style.css.border_collapse = "separate"
tb1.style.css.border_spacing = 10
# Add a header (first row is by default the header)
tb1 += [1, 2, 3]
# Change the CSS style of a cell in the header
tb1.ge... | epykure/epyk-templates | locals/layouts/table.py | table.py | py | 2,026 | python | en | code | 17 | github-code | 6 |
17333008494 | import collections
class Rectangle():
def __init__(self, w, h, placed=None, free_wh=None):
self.wh = w, h
self.placed = placed or []
self.free_wh = free_wh or (0,0)
@property
def w(self):
return self.wh[0]
@property
def h(self):
return self.wh[... | yad439/pallet-packing | concat_baseline/concat_baseline.py | concat_baseline.py | py | 11,602 | python | en | code | 0 | github-code | 6 |
71904076349 |
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
gauth = GoogleAuth()
gauth.LoadCredentialsFile("mycreds.txt")
if gauth.credentials is None:
gauth.LocalWebserverAuth()
elif gauth.access_token_expired:
gauth.Refresh()
else:
gauth.Authorize()
gauth.SaveCredentialsFile("mycreds.txt")
d... | gmagannaDevelop/GlcJournal | pydrive/automated_access.py | automated_access.py | py | 568 | python | en | code | 1 | github-code | 6 |
71150367547 | import numpy as np
import pandas as pd
import scipy
from sklearn.linear_model import LinearRegression as linreg
from sklearn.linear_model import LogisticRegression as logreg
from sklearn.cross_validation import KFold
from sklearn.cross_validation import *
from sklearn import cross_validation
titanic=pd.read_csv("trai... | leminhtr/kaggle | Titanic/main_linreg-logreg.py | main_linreg-logreg.py | py | 4,162 | python | en | code | 0 | github-code | 6 |
41202734206 | import tcod
import random
import copy
import constants as const
import entity
import render
import numpy as np
import random_loot as rloot
class Room:
"""
A room! Wow.
"""
def __init__(self, x, y, w, h):
self.x = x # upper left point
self.y = y # upper left point
self.w = w
... | cpiod/1rl | game_map.py | game_map.py | py | 16,741 | python | en | code | 3 | github-code | 6 |
26298956035 | import argparse
from dateutil import tz
from datetime import datetime
from spotipy import Spotify
import spotipy.util
from models import Play, Track, Album, Artist, PostgreSQLConnection
import settings
def set_timezone_to_datetime(datetime_to_set, timezone):
return datetime_to_set.replace(tzinfo=tz.gettz(timez... | mymindwentblvnk/hoergewohnheiten | extract/main.py | main.py | py | 7,345 | python | en | code | 16 | github-code | 6 |
9022966300 | """
4. Найти сумму n элементов следующего ряда чисел: 1 -0.5 0.25 -0.125 ...
Количество элементов (n) вводится с клавиатуры.
ЧЕРЕЗ ЦИКЛ
"""
num_el = int(input('enter 3 '))
summ = 0
range_num = 1
for i in range(num_el):
summ += range_num
range_num /= -2
print(summ)
| Bulgakoff/PyAlg | Lesson_02/task_4/task_4_1.py | task_4_1.py | py | 360 | python | ru | code | 0 | github-code | 6 |
648181227 | import numpy as np
import torch
from affogato.affinities import compute_affinities
from torchvision.utils import make_grid
from inferno.extensions.criteria import SorensenDiceLoss
class ConcatDataset(torch.utils.data.Dataset):
def __init__(self, *datasets):
self.datasets = datasets
self.lens = [l... | constantinpape/affogato | src/python/module/affogato/interactive/napari/train_utils.py | train_utils.py | py | 5,323 | python | en | code | 9 | github-code | 6 |
33618120495 | import tensorflow as tf
import numpy as np
import time
#
from dataset.train import *
import convert
import neural
import test
class NeuralNetwork:
def __init__(self):
test_success = 0
start = time.time()
target = 0.01
print('desfrdgthygju', len(data_input))
[to_train, to_t... | obernardovieira/recognize-the-number | src/nn/__init__.py | __init__.py | py | 819 | python | en | code | 1 | github-code | 6 |
20538092339 | """
Given an integer array nums, find the subarray
with the largest sum, and return its sum.
Example 1:
Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
Output: 6
Explanation: The subarray [4,-1,2,1] has the largest sum 6.
"""
"""
Time Complexity:- O(n)
Space Complexity:- O(1)
"""
class Solution:
def maxSubArray(self... | Amit258012/100daysofcode | Day2/max_Subarray_sum.py | max_Subarray_sum.py | py | 951 | python | en | code | 0 | github-code | 6 |
12959913039 | import inspect
from .namespace import Namespace
_matches_cache = {}
def matches(caller_parameters, callee_parameters):
cache_key = ';'.join((caller_parameters, callee_parameters)) # pragma: no mutate
cached_value = _matches_cache.get(cache_key, None) # pragma: no mutate (mutation changes this to cached_va... | jlubcke/tri.declarative | lib/tri_declarative/evaluate.py | evaluate.py | py | 4,864 | python | en | code | 17 | github-code | 6 |
6166850776 | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 6 16:06:45 2017
@author: Francesco
"""
import threading
import sys
import serial
import numpy as np
import time
import matplotlib.pyplot as plt
global PORT
global BAUD
global NUM_CHANNELS
global END_BUNDLE_BYTE
global BYTE_PER_CHANNEL
global BUNDLE... | FrancesoM/UnlimitedHand-Learning | python_side/multithread.py | multithread.py | py | 5,210 | python | en | code | 1 | github-code | 6 |
10291438492 | import numpy as np
import subprocess
import pandas as pd
import os
import sys
def prompt_savefig(figure, filename):
"""
Take a filename for a figure, and prompt the user to overwrite an already existing
file with that name if needed
"""
if os.path.exists(filename):
prompt = input(f"{filenam... | johfst/streaminginstability | plotutils.py | plotutils.py | py | 11,060 | python | en | code | 0 | github-code | 6 |
2088974749 | """@namespace IMP.pmi.restraints.proteomics
Restraints for handling various kinds of proteomics data.
"""
from __future__ import print_function
import IMP
import IMP.core
import IMP.algebra
import IMP.atom
import IMP.container
import IMP.pmi
import IMP.pmi.tools
import IMP.pmi.output
import numpy
import math
import sy... | salilab/pmi | pyext/src/restraints/proteomics.py | proteomics.py | py | 23,746 | python | en | code | 12 | github-code | 6 |
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