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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
5198901937 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
import unittest
import yalix.repl as repl
import yalix.utils as utils
def send_inputs(*args):
# count always starts from 1
def invoke(count):
try:
cmd = args[count - 1]
if isinstance(cmd, str):
... | rm-hull/yalix | python/tests/repl_test.py | repl_test.py | py | 1,934 | python | en | code | 5 | github-code | 36 |
39370596177 | def fibonacci(n):
if n == 1 or n == 2:
return 1
prev, curr = 1, 1
for i in range(2, n):
tmp = prev
prev = curr
curr = prev + tmp
return curr
x = int(input())
print(fibonacci(x))
| bbpythoncourse/python | 4/4.4.py | 4.4.py | py | 238 | python | en | code | 0 | github-code | 36 |
41585308053 | from flask.ext.mongokit import MongoKit, Document
from datetime import datetime
from sensorapp import db, app
@db.register
class Device(Document):
__database__ = app.config["DB_NAME"]
__collection__ = "device"
structure = {
'name': unicode,
'digit_pin_num': int,
'analog_pin_num': in... | janetyc/SensorIoT | sensorapp/models.py | models.py | py | 2,885 | python | en | code | 0 | github-code | 36 |
24969027415 | from typing import List
class Solution:
def dailyTemperatures(self, temperatures: List[int]) -> List[int]:
ans = [0] * len(temperatures)
stack = []
for i, v in enumerate(temperatures):
while stack and stack[-1][1] < v:
index, value = stack.pop()
... | inverseTrig/leet_code | 739_daily_temperatures.py | 739_daily_temperatures.py | py | 530 | python | en | code | 0 | github-code | 36 |
42712331906 | def solution_long(start, length, debug=False):
"""
Known Working Solution
:param start:
:param length:
:param debug:
:return:
"""
if start < 0 or start > 2000000000 or length < 1 or start + length > 2000000000:
return 0
skip_start = length
run_checksum = 0
worker = s... | drewtuley/LAMBCHOP | SecurityQueue/queue_to_do.py | queue_to_do.py | py | 2,128 | python | en | code | 0 | github-code | 36 |
72045571623 | puzzle = open('puzzle', 'r').read().strip()
puzzle = list(map(int, puzzle.split()))
def get_nodes(x):
child_nodes = x[0]
metadata_entries = x[1]
ret = []
ret_sum = 0
steps = 0
for i in range(child_nodes):
sub = get_nodes(x[2+steps:])
ret.append(sub[0])
steps += sub[1]
if child_nodes == 0:
ret_sum ... | filipmlynarski/Advent-of-Code-2018 | day_08/day_8_part_2.py | day_8_part_2.py | py | 549 | python | en | code | 0 | github-code | 36 |
25955407466 | import time
class Profiler:
'''
A small profiler class for measuring how long a block of code runs.
This should be used like:
```
with Profiler('label'):
# code to run here
```
and will automatically print runtime information. Additionally, if
multiple `with` blocks are neste... | nicknytko/numml | numml/profiler.py | profiler.py | py | 1,389 | python | en | code | 9 | github-code | 36 |
11685619050 | from django.shortcuts import render
from django.shortcuts import render,redirect
from django.contrib.auth.forms import UserCreationForm,AuthenticationForm
# from .models import Device
from django.contrib.auth import authenticate
from django.contrib.auth import login
#from .forms import SignUpForm
from django.core.mail ... | sanjolisogani/new_ops | newops/views.py | views.py | py | 14,804 | python | en | code | 0 | github-code | 36 |
13419956267 | import pygame,sys
from Room import Room,Overworld
class Game:
def __init__(self) -> None:
self.overworld = Overworld(screen,self.start_game)
self.status = 'overworld'
self.current_room = 0
def start_game(self):
self.room = Room(self.current_room, self.create_overworld)
... | NishantK30/projects | text based game/main.py | main.py | py | 960 | python | en | code | 0 | github-code | 36 |
15150261198 | #Healthy programmer
# 9am - 5pm
# Water = water.mp3 (3.5 liters)every 40min - Drank - log
# Eyes = eyes.mp3 (Every 30 min) - EyesDone - log
# Pysical Activity = pysical.mp3 (every 45 min)- ExDone - log
#
# Rules - pygame module to play audio
from pygame import mixer
from datetime import datetime
from time import time
... | entbappy/My-python-projects | Ex7 Healty programmer50.py | Ex7 Healty programmer50.py | py | 1,582 | python | en | code | 2 | github-code | 36 |
28069150292 | # 2021-10-15
# 출처 : https://programmers.co.kr/learn/courses/30/lessons/86491
# 위클리 챌린지 - 8주차_최소직사각형
#sizes=[[60, 50], [30, 70], [60, 30], [80, 40]]
sizes=[[10, 7], [12, 3], [8, 15], [14, 7], [5, 15]]
def solution(sizes):
long=[]
short=[]
for i in sizes:
if i[0]<i[1]:
long.append(i[1... | hwanginbeom/algorithm_study | WeeklyChallenge/WeeklyChallenge08_kyounglin.py | WeeklyChallenge08_kyounglin.py | py | 517 | python | en | code | 3 | github-code | 36 |
21953618118 | """
Process the VCF file to compute observed values of statistics and
estimate misorientation rate
"""
import egglib
##### PARAMETERS AND CONFIGURATION #####################################
fname = '/home/flavia/flavia_data2/2023/demography/egglib/filtered_genotyped_combined_outgroup_208samples_pass_filter5_renamed.... | flaviarogerio/demographic | cp_stats4.py | cp_stats4.py | py | 7,729 | python | en | code | 0 | github-code | 36 |
35076398379 | """This file contains the signature validator abstraction"""
import base64
import json
from cose.headers import KID
from cose.keys.keyops import VerifyOp
from cose.messages import Sign1Message
from cose.keys import CoseKey
from cose.algorithms import Es256, Ps256
from cose.keys.keytype import KtyEC2, KtyRSA
from cose... | ryanbnl/eu-dcc-diagnostics | classes/SignatureValidator.py | SignatureValidator.py | py | 3,969 | python | en | code | 9 | github-code | 36 |
36754576461 | # Binary Search
def solution(A, value):
if (len(A) == 1) & (A[0] == value):
print(f'found it: {A[0]}')
return A[0]
elif (len(A) == 1) & (A[0] != value):
print('Not found it')
elif len(A) == 0:
print('Not found it')
elif len(A) > 1:
mid = len(A) // 2
print... | Quantanalyst/SoftwareEngineeringNotes | Data Structure and Algorithms/Popular Questions/BinarySearch.py | BinarySearch.py | py | 649 | python | en | code | 0 | github-code | 36 |
38488870579 | #!/usr/bin/env python3
#
# Bonus. GPE auto-training + GSA using external (from publication) dataset loaded from json file
#
import os
from gpytorch.likelihoods import GaussianLikelihood
from gpytorch.means import LinearMean
from gpytorch.kernels import MaternKernel, ScaleKernel
from GPErks.gp.data.dataset import Data... | stelong/GPErks | examples/example_bonus.py | example_bonus.py | py | 3,888 | python | en | code | 3 | github-code | 36 |
30807564816 | import copy
import os
import sys
# define our clear function
def clear():
# for windows
if os.name == 'nt':
_ = os.system('cls')
# for mac and linux(here, os.name is 'posix')
else:
_ = os.system('clear')
def systemStrip(input):
return input.strip("").replace("&", "").re... | Treelovah/dev-null | console.py | console.py | py | 12,973 | python | en | code | 0 | github-code | 36 |
9959099201 | import random
import itertools
import math
import json
from functions.counting import counting
from functions.multi_arithematic import multiple_operations_two_ops
from functions.single_arithematic import single_arithematic
from functions.avg_val import average_point_value
from functions.permutation_combination import ... | GVS-007/MLLM_Reasoning | final_data_creation.py | final_data_creation.py | py | 7,225 | python | en | code | 0 | github-code | 36 |
3419259967 | from spectractor import parameters
from spectractor.simulation.simulator import AtmosphereGrid, SpectrumSimulatorSimGrid
from spectractor.config import load_config
from spectractor.simulation.image_simulation import ImageSim
from spectractor.logbook import LogBook
from spectractor.extractor.extractor import Spectractor... | LSSTDESC/Spectractor | runSimulator.py | runSimulator.py | py | 2,608 | python | en | code | 13 | github-code | 36 |
14380560581 | from typing import *
class Solution:
def floodFill(self, image: List[List[int]], sr: int, sc: int, color: int) -> List[List[int]]:
rows = len(image)
cols = len(image[0])
source = image[sr][sc]
if color == source:
return image
def helper(sr, sc):
... | jithindmathew/LeetCode | flood-fill.py | flood-fill.py | py | 735 | python | en | code | 0 | github-code | 36 |
18056687843 | from one_layer_net_base import OneLayerNetBase
class OneLayerNet(OneLayerNetBase):
def calc_corrections(self, vector, learning_rate):
for j in range(len(self.neurons)):
error = vector.get_desired_outputs()[j] - self.neurons[j].get_out()
weights_deltas = [0] * len(self.neurons[j].ge... | StanislavMakhrov/OneLayerPerceptron | pure_python/one_layer_net_delta_rule.py | one_layer_net_delta_rule.py | py | 873 | python | en | code | 0 | github-code | 36 |
72734862185 | from qblockchain import QBlockchain
import hashlib
def main():
qbc = QBlockchain()
qbc.mine_block("First block 1")
print(qbc.is_chain_valid())
#qbc.break_up_4bit_values([0000])
#qbc.xor(["23ab0","12ab0"],4)
xor_bin = qbc.xor(str("1234"), str("abc0"), 4)
hashOut = hashlib.sha3_256(xor_... | asiaat/python_qblockchain | main.py | main.py | py | 1,487 | python | en | code | 0 | github-code | 36 |
16620383859 | # @Author: Billy Li <billyli>
# @Date: 06-05-2022
# @Email: li000400@umn.edu
# @Last modified by: billyli
# @Last modified time: 06-06-2022
import sys
from pathlib import Path
import shutil
import numpy as np
from scipy.stats import uniform
data_dir = Path.cwd().parent.joinpath("data")
sys.path.insert(1, str(... | billy000400/CircNN | src/features/make_data_single_track.py | make_data_single_track.py | py | 2,828 | python | en | code | 0 | github-code | 36 |
13990400448 | from collections import defaultdict
from sys import maxint
class Solution(object):
def getClosest(self, S, t):
closest = None
minDiff = maxint
for k, x in S:
diff = abs(t - x)
if diff < minDiff:
minDiff = diff
closest = k, x
r... | dariomx/topcoder-srm | leetcode/zero-pass/google/optimal-account-balancing/Solution3.py | Solution3.py | py | 1,460 | python | en | code | 0 | github-code | 36 |
25163396057 |
import os
from unittest import mock
from easul import util
from easul.driver import MemoryDriver
from easul.visual import Visual
from easul.tests.example import diabetes_progression_algorithm, prog_input_data, no_prog_input_data
import logging
from easul.visual.element import Prediction
from easul.visual.element.pr... | rcfgroup/easul | easul/tests/visual/test_prediction.py | test_prediction.py | py | 2,967 | python | en | code | 1 | github-code | 36 |
32487421332 | #-*-coding:utf-8 -*-
import sys
import hmac
import hashlib
import time
import requests
import json
import urllib
import top
class ewsServiceApi:
'''
Aliyun EWS service api
'''
def __init__(self,accesskey,secretkey):
self.accesskey = accesskey
self.secrekey = secretkey
self.tim... | opnms/opnms | base/ewsService.py | ewsService.py | py | 2,267 | python | en | code | 0 | github-code | 36 |
13958593890 | class URL_helper:
def __init__(self):
self.__HOUSE_TYPES_LIST = ['rodinne-domy', 'vily', 'chalupy', 'chaty', 'projekty-na-klic', 'zemedelske-usedlosti',
'pamatky-jine', 'vicegeneracni-domy']
self.__HOUSE_LOCATIONS_DICT = {'Karlovarsky': ['cheb', 'karlovy-vary'... | eugenganenco/SRealty | webScraper/URL_helper.py | URL_helper.py | py | 5,434 | python | cs | code | 0 | github-code | 36 |
34353676149 | import requests
from bs4 import BeautifulSoup
from time import sleep
import json
from sqlalchemy import create_engine,Column,Integer,String,ForeignKey,table, column, select, update, insert
from sqlalchemy.ext.declarative import declarative_base
from urlparse import urlparse
from sqlalchemy.orm import sessionmaker
from ... | VladislavSpassov/HackBulgariaTasks | Week13/CrawnBGWebsites.py | CrawnBGWebsites.py | py | 3,072 | python | en | code | 0 | github-code | 36 |
34642170576 | #!/usr/bin/python3
from network import Model
from Experiences import Experiences
import numpy as np
model = Model()
experiences = Experiences()
print('experiences ', len(experiences.get()[0]))
for i in range(10):
model_loss = model.model_train(experiences, False)
print('model', model_loss)
model.save()
... | uberthought/DQN | offline_train.py | offline_train.py | py | 435 | python | en | code | 0 | github-code | 36 |
18306688211 | from PIL import Image
img=Image.open(r"C:\Users\rohan\Downloads\Pictures\IMG_5093.jpg")
height=img.height
width=img.width
print(f"Height:{height} Width:{width}")
r,g,b=img.getpixel((100,100))
print(f"R:{r} G:{g} B:{b}")
img2=img.convert("L")
img2.show()
img2=img2.save(r"C:\Users\rohan\Downloads\Pictures\test2.jpeg")
i... | rohanxd1/Codes | Python/TEST.py | TEST.py | py | 416 | python | en | code | 0 | github-code | 36 |
11519320722 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import logging
from types import FunctionType
from fdm import central_fdm
from lab import B
from plum import Dispatcher, Self, Referentiable, type_parameter, Union
from .util import uprank
from .input import Input, At, MultiInp... | pb593/stheno | stheno/graph.py | graph.py | py | 27,441 | python | en | code | null | github-code | 36 |
70231595624 | '''
Name: Main file for HW2 of FE 595
Intro: This file should load the cleaned data from theyfightcrime.org, sort the data, and return the required info.
Author: William Long
Date : 09/22/2019
'''
import pandas as pd
import numpy as np
from textblob import TextBlob
import nltk
#First, Let's load the data
m_raw = pd.... | bluefinch83/FE_595_HW2 | Main.py | Main.py | py | 2,099 | python | en | code | 0 | github-code | 36 |
3269577614 | def main():
print("Result-> "+str(quicksort([2, 7, 9, 3, 1, 6, 5, 4])))
def quicksort(arr):
pivot = arr[len(arr)-1]
wall = 0
for i in range(len(arr)):
if arr[i] < pivot:
swap_elements(arr, wall, i)
wall += 1
# switch the pivot with the first element on the right si... | VAR-solutions/Algorithms | Sorting/quickSort/python/quick_sort.py | quick_sort.py | py | 811 | python | en | code | 733 | github-code | 36 |
4394037963 | # 스티커 모으기(2)
# r1 x
# https://programmers.co.kr/learn/courses/30/lessons/12971
# https://inspirit941.tistory.com/158
def solution(sticker):
answer = 0
if len(sticker) == 1:
return sticker[0]
dp = [0 for _ in range(len(sticker))]
dp[0] = sticker[0]
dp[1] = dp[0]
for i in ran... | sjjam/Algorithm-Python | programmers/level/L3/12971.py | 12971.py | py | 645 | python | en | code | 0 | github-code | 36 |
23188615876 | import visualization
import ROOT as root
from detector import Detector
tracking_file_name = "../../build/output/pgun/klong/stat0.root"
tracking_file = root.TFile.Open(tracking_file_name)
tree = tracking_file.Get("integral_tree")
LAYERS_Y=[[6001.0, 6004.0], [6104.0, 6107.0]]
det = Detector()
count ... | seg188/MATHUSLA-MLTracker | scripts/draw_energy.py | draw_energy.py | py | 1,722 | python | en | code | 1 | github-code | 36 |
19702023558 | from flask import Flask, request, send_from_directory, send_file
from contracts import DCCInterface
from web3 import Web3, HTTPProvider
import json
import _thread
import time
import traceback
app = Flask(__name__)
jobs = []
jobs_details = []
web3 = Web3([HTTPProvider("http://10.8.3.1:8545")])
def thread_prune_entrie... | jimgao1/dcc | src/server.py | server.py | py | 1,747 | python | en | code | 0 | github-code | 36 |
4828550972 | from concurrent.futures import process
from matplotlib.pyplot import cla
import numpy as np, pandas as pd
import re
from scipy import rand
dataset = pd.read_csv("../../resources/Part 7 - Natural Language Processing/Section 36 - Natural Language Processing/Python/Restaurant_Reviews.tsv",delimiter="\t", quoting=3)
## ... | ManishLapasi/MLstuff | models/NLP/nlpselect.py | nlpselect.py | py | 4,084 | python | en | code | 0 | github-code | 36 |
12029446848 | #!/usr/bin/env python3.8
how_many_prime = int(input("How many prime numbers would you like to see? "))
def natural_num(num: int)-> int:
yield num
yield from natural_num(num+1)
def sieve(s: int)-> int:
n = next(s)
yield n
yield from sieve(i for i in s if i%n!=0)
p = sieve(natural_num(2))
for _ i... | NateDreier/Learn_Python | independent_learning/random_proj/lazy_prime.py | lazy_prime.py | py | 364 | python | en | code | 0 | github-code | 36 |
14873664547 | import cv2
import yaml
from application.main.onnx_model.base_model import BaseModel
from typing import Tuple
from application.main.onnx_model.util import *
class YoloOnnxModel(BaseModel):
def __init__(self, cfg_file):
super(YoloOnnxModel, self).__init__(cfg_file)
self.input_nodes = ["images"]
... | YoungHyuenKim/onnx_fastAPI_example | application/main/onnx_model/yolo_model.py | yolo_model.py | py | 2,184 | python | en | code | 0 | github-code | 36 |
21645118091 | from datetime import date, datetime, timezone, timedelta
import threading
import git
import os
from repoorgui.commands import commandfn
# see https://stackoverflow.com/a/39956572
# made changes to return repo object if exits
def is_git_repo(path):
try:
r = git.Repo(path)
_ = r.git_dir
ret... | abhishekmishra/repoorgui | src/repoorgui/gitworkspace.py | gitworkspace.py | py | 4,397 | python | en | code | 0 | github-code | 36 |
21520280572 | """
VATSIM Status Proxy
Copyright (C) 2017 - 2019 Pedro Rodrigues <prodrigues1990@gmail.com>
This file is part of VATSIM Status Proxy.
VATSIM Status Proxy is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation,... | pedro2555/vatsim-status-proxy | settings.py | settings.py | py | 2,875 | python | en | code | 2 | github-code | 36 |
72054157543 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from datetime import datetime
from urllib.parse import urljoin
import pymongo
imp... | mudssky/myScrapySpiders | getchu/getchu/pipelines.py | pipelines.py | py | 3,959 | python | en | code | 0 | github-code | 36 |
38044872719 | input_file = open("../inputs/day11input.txt", "r")
input_array = []
f = list(input_file.readline())
while f:
f.remove("\n")
input_array.append(f)
f = list(input_file.readline())
for i in range(len(input_array)):
for j in range(len(input_array[i])):
input_array[i][j] = int(input_array[i][j])
... | pvtrov/advent-of-code-2021 | day11/1.py | 1.py | py | 3,349 | python | en | code | 0 | github-code | 36 |
30370929393 | import sys
sys.stdin = open('input.txt')
def DFS(start_node, end_node):
to_visits = [start_node]
while to_visits:
current = to_visits.pop()
visited[current] = True
for node in graph[current]:
if visited[node] is False:
visited[node] = True
to_... | pugcute/TIL | algorithm/2644_촌수계산/2644.py | 2644.py | py | 775 | python | en | code | 0 | github-code | 36 |
24201123813 | # 백준 부분수열의 합
import sys
N, S = map(int, sys.stdin.readline().split(' '))
arr = list(map(int, sys.stdin.readline().split(' ')))
cnt = 0
visited = [False] * N
def backtracking(size, now_sum):
global cnt
if size == N:
if now_sum == S: cnt += 1
return
backtracking(size+1, now_sum + arr[si... | superyodi/burning-algorithm | dfs/boj_1182.py | boj_1182.py | py | 430 | python | en | code | 1 | github-code | 36 |
71244709543 | """watch for changes in tiles.yml"""
import hashlib
import os
from src.config_parser import ConfigFile
from src.template import create_all_tiles
from src.tilefy_redis import TilefyRedis
class Watcher:
"""watch for changes"""
FILE_PATH = "/data/tiles.yml"
def __init__(self):
self.modified = Fal... | bbilly1/tilefy | tilefy/src/watcher.py | watcher.py | py | 2,072 | python | en | code | 16 | github-code | 36 |
34996914416 | import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
from numpy import pi
inputName = "21cylindrov"
fileName = inputName + "-Tphi-all"
plotName = fileName + "-smery"
data = np.load("./Results/"+fileName+".npz")
inputData = np.load("./Inputs/" + inputName + ".npz")
n = inputData... | KlaraFickova/Diplomovka | Draw/smery-f.py | smery-f.py | py | 919 | python | en | code | 0 | github-code | 36 |
38799414939 | import discord
import bdg
import gamelist
import random
class SurpriseGameCommand(bdg.BdgCommand):
header = {
'name': "sortear_jogo",
'description': "Lista de Jogos - Sorteie um jogo aleatório baseado no filtro especificado",
}
async def on_command(self, i: discord.Interaction, filtro: gamelist.GameFilter):
... | DanielKMach/BotDusGuri | src/commands/gamelist/surprise.py | surprise.py | py | 814 | python | pt | code | 1 | github-code | 36 |
44396010983 | import tensorflow as tf
import os
import cProfile
def variable_turn_off_gradient():
step_counter = tf.Variable(1, trainable=False)
print(step_counter)
def variable_placing():
with tf.device('CPU:0'):
# Create some tensors
a = tf.Variable([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
b = tf... | jk983294/morph | book/tensorflow/core/variables.py | variables.py | py | 1,966 | python | en | code | 0 | github-code | 36 |
70553071464 | import time, datetime
import numpy as np
import os
import os.path as osp
import torch
import torchvision
import matplotlib.pyplot as plt
import torchvision.utils as vutils
import torch.nn.functional as F
import cv2
import glob
import random
from lib.utils.eval_utils import (
batch_compute_similarity_transform_tor... | JunukCha/SSPSE | utils/trainer_utils.py | trainer_utils.py | py | 26,289 | python | en | code | 6 | github-code | 36 |
2051327559 | ##https://towardsdatascience.com/develop-a-nlp-model-in-python-deploy-it-with-flask-step-by-step-744f3bdd7776
from flask import Flask, request, jsonify,render_template,redirect,flash
import pandas as pd
import matplotlib.pyplot as plt
#from flask_cors import CORS
from data_Preprocessing import DataPreprocessing
from ve... | Pooja-AI/Email-Classification | file.py | file.py | py | 10,841 | python | en | code | 0 | github-code | 36 |
37348251487 | from my_radial_grid import *
beta = 0.4
N = 150*(2 + 1)
ae_grid = MyAERadialGridDescriptor(beta/N, 1.0/N, N)
# Grid points in this case is
# a g
# r(g) = -------, g = 0, 1, ..., N - 1
# 1 - b g
print("Grid parameters:")
print("a = ", ae_grid.a)
print("b = ", ae_grid.... | f-fathurrahman/ffr-learns-gpaw | ae_generator/test_radial_grid_02.py | test_radial_grid_02.py | py | 567 | python | en | code | 0 | github-code | 36 |
41166932292 | # pip install requests bs4 lxml
# pip install jieba
import requests
import bs4
import jieba
import csv
stocks = set()
def prepare_stocks():
with open('week3/Stock.csv', encoding='utf-8') as csv_file:
csv_reader = csv.reader(csv_file)
stock_list = list(csv_reader)
for stock in stoc... | andrewintw/learning-python-web-crawler | week3/lab00_ptt_from_teacher.py | lab00_ptt_from_teacher.py | py | 2,001 | python | en | code | 0 | github-code | 36 |
37502377637 | # https://swexpertacademy.com/main/code/problem/problemDetail.do?contestProbId=AV4suNtaXFEDFAUf
"""
단순한 구현 문제
사용된 코어와 사용할 코어의 개수가 최대로 사용했던 코어의 개수보다 적으면 더이상 탐색하지 않는다.
"""
dire = [[-1, 0], [1, 0], [0, -1], [0, 1]]
def DRAW(x, y, d, graph):
tx, ty = x + dire[d][0], y + dire[d][1]
while 0 <= tx < len(graph) and 0 ... | junsgi/Algorithm | BackTracking/[SW Test 샘플문제] 프로세서 연결하기.py | [SW Test 샘플문제] 프로세서 연결하기.py | py | 2,239 | python | ko | code | 0 | github-code | 36 |
8591398196 | import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
import numpy as np
from itertools import chain
class SurgicalFineTuningBert(nn.Module):
def __init__(
self,
bert_model,
) -> None:
super().__init__()
self.get_extended_attention_mask = bert_model.get... | AntoineBigeard/NLPSurgicalFineTuning | src/pimped_bert.py | pimped_bert.py | py | 4,780 | python | en | code | 2 | github-code | 36 |
70345439783 | import os
import sys
import pdb
import torch
import numpy as np
import pickle as pkl
from PIL import Image
from random import shuffle
from torchvision import datasets, transforms
""" Template Dataset with Labels """
class XYDataset(torch.utils.data.Dataset):
def __init__(self, x, y, **kwargs):
self.x, se... | joey-wang123/DRO-Task-free | data.py | data.py | py | 11,866 | python | en | code | 11 | github-code | 36 |
43319179836 | #!/usr/bin/env python
from geometry_msgs.msg import (
PoseStamped,
Pose,
Point,
Quaternion,
)
def house_coordinates(x, y, z, width, height):
'''
This function takes in coordinates x, y, z to determine where
the structure will be built from. It also takes in the width and
height of th... | ansonthalia/DE_robotics1 | Final_Submission/House_Builder.py | House_Builder.py | py | 7,047 | python | en | code | 0 | github-code | 36 |
18488873840 | from utility import log, timeit, Timer
import CONSTANT
from concurrent.futures import ProcessPoolExecutor
import datetime
import numpy as np
import os
import pandas as pd
import CONSTANT
import gc
from CONSTANT import LABEL,NUMERICAL_PREFIX,LABEL_CNT_SUFFIX
@timeit
def cat_Lable_Cnt_Fun(train_data, y, test_data, co... | HantaoShu/KDD2019-Challenge | Lib_preprocess/catFeatureLabelCnt.py | catFeatureLabelCnt.py | py | 5,098 | python | en | code | 5 | github-code | 36 |
16667044604 | import os
import pydicom
import numpy as np
import dicom_numpy
from utils import hidden_errors
from tf_utils import *
from pathlib import Path
def read_dicom_folder(dicom_folder, rescale=None):
''' Reads all .dcm files in `dicom_folder` and merges them to one volume
Returns:
The volume and the affine... | xeTaiz/dvao | volume_loader.py | volume_loader.py | py | 2,556 | python | en | code | 6 | github-code | 36 |
35382251444 | #!/usr/bin/env python3
from re import M
from sys import stderr, exit
from multilanguage import Env, Lang, TALcolors
from TALinputs import TALinput
import random
import graph_connectivity_lib as gcl
from time import monotonic
# METADATA OF THIS TAL_SERVICE:
problem="graph_connectivity"
service="eval_bot_deciding_con... | romeorizzi/TALight | example_problems/tutorial/graph_connectivity/services/eval_bot_deciding_connectivity_driver.py | eval_bot_deciding_connectivity_driver.py | py | 6,055 | python | en | code | 11 | github-code | 36 |
74120599144 | from django.db.models import Q
from django.shortcuts import render
from apps.news.models import News, HeadlineNews, BottomInfo
# Views function for home page of site
def index(request):
# news part
latest_news = News.objects.order_by('-published_date')[:3]
headlines = HeadlineNews.objects.filter(is_publis... | libomun/crhs | apps/home/views.py | views.py | py | 1,287 | python | en | code | 0 | github-code | 36 |
6796248308 | import pandas
'''
features of papers used including:
1.main title
2.abstract contents
3.author
4.keywords
for both main title and abstract contents, dictionary and word counts need to be attained
expected result: a dict containing text, word count, and a dictionary
for authors, authors of each pa... | another1s/ontology_learning | program/analyse.py | analyse.py | py | 4,163 | python | en | code | 2 | github-code | 36 |
72167483303 | """
This file holds the interaction sites class used in simulation.py.
"""
import warnings
from random import random
from copy import deepcopy
from itertools import combinations
from math import comb
import numpy as np
class InteractionSites:
"""A class designed to host interactions between persons within specif... | Queens-Physics/quaboom | cv19/interaction_sites.py | interaction_sites.py | py | 33,973 | python | en | code | 4 | github-code | 36 |
7755009879 | import numpy as np
import json
import copy
import functools
from tensorpack.utils import logger
from petridish.info.layer_info import LayerInfo, LayerInfoList, LayerTypes
class CellNetworkInfo(dict):
def __init__(self, master=None, normal=None, reduction=None):
super(CellNetworkInfo, self).__init__(loca... | microsoft/petridishnn | petridish/info/net_info.py | net_info.py | py | 27,723 | python | en | code | 111 | github-code | 36 |
5850629924 | #coding: utf-8
import pygame
from block import Block
import constants
#insert this class in ship method gen_shoot()
class Bullet(Block):
def __init__(self,x,y, sign, speed, targets_nopoints= None, targets_points=None, point_receptor=None):
super(Bullet, self).__init__(x,y,10,10,constants.YELLOW)
self.dir_x = 0
... | RafaelPAndrade/Pixel_Martians | bullet.py | bullet.py | py | 1,487 | python | en | code | 0 | github-code | 36 |
12546585829 | """
ospopen.py
This programs lists your outdated Python packages and the latest version available.
"""
import sys
import os
infile = os.popen("/Library/Frameworks/Python.framework/Versions/3.6/bin"
"/pip3 list -o") #Create a child process and a pipe.
... | zeeboo26/Python-INFO1-CE9990 | ospopen.py | ospopen.py | py | 822 | python | en | code | 0 | github-code | 36 |
13070086793 | def boardScore(A):
A = [a.split() for a in A]
res = 0
m, n = len(A), len(A[0])
def dfs(i, j, flag):
nonlocal score, area
if i >= m or j >= n or i < 0 or j < 0 or not A[i][j] or A[i][j][0] != flag or A[i][j] == '#':
return
score += int(A[i][j][1:])
area += 1
... | Jason003/Interview_Code_Python | Airbnb/board score.py | board score.py | py | 787 | python | en | code | 3 | github-code | 36 |
43494226202 | from PyQt4 import QtGui, QtCore
#
#
# class RubberbandEnhancedLabel(QtGui.QLabel):
#
# def __init__(self, parent=None):
# QtGui.QLabel.__init__(self, parent)
# self.selection = QtGui.QRubberBand(QtGui.QRubberBand.Rectangle, self)
#
# def mousePressEvent(self, event):
# '''
# ... | lkosh/abandoned_objects | select2.py | select2.py | py | 10,387 | python | en | code | 1 | github-code | 36 |
23331748159 | import matplotlib.pyplot as plt
from utility_functions import *
depth = 120
layers = 100
segments = 1
size_classes = 2
lam = 300
simulate = False
verbose = True
l2 = False
min_attack_rate = 10**(-3)
mass_vector = np.array([0.05, 20, 6000]) # np.array([1, 30, 300, 400, 800, 16000])
obj = spectral_method(depth, layer... | jemff/food_web | old_sims/other_initial_conditions.py | other_initial_conditions.py | py | 1,717 | python | en | code | 0 | github-code | 36 |
8225047192 | #3 more decision problems
#FizzBuzz values
#use % to find multiples of a numner equaled to zero
number = int(input('Enter a positive integer: '))
if number % 3 == 0:
print('Fizz')
elif number % 5 == 0:
print('Buzz')
elif number % 3 == 0 and number % 5 == 0:
print('FizzBuzz')
else:
print(n... | JordanRabold/Python-3.10 | fizz_buzz.py | fizz_buzz.py | py | 588 | python | en | code | 0 | github-code | 36 |
16010531173 | '''
api_test.py
Jeff Ondich, 11 April 2016
Ethan Somes, 13 April, 2017
Revised from Jeff's example for CS 257 Software Design. How to retrieve results
from an HTTP-based API, parse the results (JSON in this case),
and manage the potential errors.
'''
import sys
import argparse
import... | NylaWorker/TrebuchetPhysicsSimulation | CS257/API.py | API.py | py | 5,087 | python | en | code | 0 | github-code | 36 |
27254946312 | """
---------------------------------------------------------------
Authors: A. Ramirez-Morales (andres.ramirez.morales@cern.ch)
H. Garcia-Tecocoatzi
---------------------------------------------------------------
"""
from decays.decay_wrapper import decay
import decays.decay_utils_em as du
import numpy as... | Ailierrivero/bottom-baryonsFW-copy | decays/electro_width.py | electro_width.py | py | 10,332 | python | en | code | 0 | github-code | 36 |
11831438569 | import discord
from discord.ext import commands
from discord.commands import Option
from commands.funcs.yatta_gif import yatta_gif
# List of commands here:
# /yattagif
class Gif(commands.Cog, description='Gif maker'):
def __init__(self, bot):
self.bot = bot
self.footer = "Developed by jej#6495 for... | jej-v/snowcodes2022 | commands/yatta.py | yatta.py | py | 1,201 | python | en | code | 0 | github-code | 36 |
22663485001 | def jugar_suma_modular(modulo, numero_inicial, numero_objetivo):
resultado = numero_inicial
while resultado != numero_objetivo:
numero = int(input("Ingresa un número para sumar: "))
resultado = (resultado + numero) % modulo
print(f"Resultado parcial: {resultado}")
print("¡Ganaste!")... | Jacobo24/Trabajo_profundizacion | Juego_de_suma_modular.py | Juego_de_suma_modular.py | py | 470 | python | es | code | 0 | github-code | 36 |
38793714824 | condition=[]
count=[]
def Count(end,totalmass):
if totalmass==0:
return 1
if totalmass<0:
return 0
if [end,totalmass] in condition:
return count[condition.index([end,totalmass])]
else:
value=0
for i in range(len(masslist)):
value+=Count(masslist[i],to... | XueningHe/Rosalind_Genome_Sequencing | PeptideNumberGivenMass.py | PeptideNumberGivenMass.py | py | 752 | python | en | code | 0 | github-code | 36 |
18852099221 | from os import environ
from time import time, sleep
import requests
import requests.auth
from requests_oauthlib import OAuth1
from .exceptions import *
class API:
def __init__(self, session=None):
self.log_function = print
self.retry_rate = 5
self.num_retries = 5
s... | kavyamandaliya/SentimentAnalysis | scraper/scrap/apis.py | apis.py | py | 13,220 | python | en | code | 0 | github-code | 36 |
19786182992 | from keras import Model
import numpy as np
from scam.exceptions import InvalidState
from scam.utils import resize_activations, normalize_activations
class ScoreCAM:
def __init__(self, model_input, last_conv_output, softmax_output, input_shape, cam_batch_size=None):
"""
Prepares class activation m... | andreysorokin/scam-net | scam/keras.py | keras.py | py | 3,075 | python | en | code | 9 | github-code | 36 |
74331703784 | '''
https://codeforces.com/problemset/problem/126/B
Solution: Compute array z as Z function of the string. Then we just need to find
an element z[i] such that z[i]=n-i and z[i]<max(z) or z[i]==max(z) and count(z[i])>=2
'''
def Z(s):
n=len(s)
z=[0 for i in range(n)]
l,r=0,0
for i in range(1,n):
... | codeblooded1729/Competitive-programming-Problems | codeforces/passsword.py | passsword.py | py | 995 | python | en | code | 0 | github-code | 36 |
23971685802 | from __future__ import unicode_literals
import os
import re
import json
from contextlib import contextmanager
from collections import defaultdict
from functools import wraps, partial
import psycopg2
from PyQt4.QtCore import Qt, QSettings, QRect
from PyQt4.QtGui import (
QIcon, QMessageBox, QDialog, QStandardItem,... | Oslandia/qgis-menu-builder | menu_builder_dialog.py | menu_builder_dialog.py | py | 32,979 | python | en | code | 2 | github-code | 36 |
26523812537 | #!/usr/bin/env python
# -*- coding: utf8 -*-
import os
import pyhaproxy.pegnode as pegnode
import pyhaproxy.config as config
class Parser(object):
"""Do parsing the peg-tree and build the objects in config module
Attributes:
filepath (str): the absolute path of haproxy config file
filestrin... | imjoey/pyhaproxy | pyhaproxy/parse.py | parse.py | py | 10,541 | python | en | code | 53 | github-code | 36 |
5820967293 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 6 18:28:13 2022
@author: ldd775
"""
import socket, sys, re, os
import params
def recBytes():
sys.path.append("../lib") # for params
switchesVarDefaults = (
(('-l', '--listenPort') ,'listenPort', 50001),
(('-?',... | utep-cs-systems-courses/os-project3-framing-lddavila | lib/framingServer.py | framingServer.py | py | 5,153 | python | en | code | 0 | github-code | 36 |
43660570358 | import arcpy
import os
import csv
def aggregate_by_route_by_injury_type(route_fc, crash_fc, gdb, distance):
"""Iterates through the bus route data and aggregates the number and type of injuries within the search distance"""
arcpy.env.workspace = gdb
route_dictionary = {}
for row in arcpy.da.S... | ttlin1/Bus | determine_number_crashes_for_each_route.py | determine_number_crashes_for_each_route.py | py | 4,071 | python | en | code | 0 | github-code | 36 |
43696108113 | import os
from math import ceil
from keras import backend
from keras import optimizers
from keras.applications.vgg19 import VGG19
from keras.applications.resnet50 import ResNet50
from keras.layers import Dense, Flatten, BatchNormalization, Dropout
from keras.models import Sequential, Model
from keras.callbacks import... | anson627/kaggle | planet/lib/classifier.py | classifier.py | py | 5,485 | python | en | code | 0 | github-code | 36 |
25634514682 | import claripy
import code
from hashlib import sha512
import json
import sys
b = [claripy.BVS('b_%d' % i, 1) for i in range(33896)]
s = claripy.Solver()
with open("map3.txt", 'r') as f:
cipher, chalbox = json.loads(f.read())
length, gates, check = chalbox
for i in range(33767,33896):
name, args = gates[i-... | posgnu/ctfs | pctf2018/3iscABC/sol.py | sol.py | py | 907 | python | en | code | 1 | github-code | 36 |
990448118 | import requests
import random
import time
from threading import Thread
# Import modules for HTTP flood
import tools.randomData as randomData
import tools.ipTools as ipTools
def HTTP_ATTACK(threads, attack_time, target):
# Finish
global FINISH
FINISH = False
if ipTools.isCloudFlare(target):
if not ... | Marshmello1912/Git | Impulse/tools/L7/http.py | http.py | py | 1,653 | python | en | code | 0 | github-code | 36 |
38552357203 | '''
# the Space Complexity is O(1) and the Time Complexity is O(N)
def caesar_enc(str, key):
alpha = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', ' j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u',
'v', 'w', 'x', 'y', 'z' ] # or say alpha=list("abcdefjhijklmnopqrstuwuxyz")
HashTable = {}
... | pro-ghanem/MY-DSA-Problem-Solving | String Manipulation/Caeser Encrypter.py | Caeser Encrypter.py | py | 1,006 | python | en | code | 0 | github-code | 36 |
75121574505 | import unittest
import requests
URL = 'http://127.0.0.1:8000/segment'
IMAGE_PATH = './data/test_image/'
IMAGE_NAME = '0bf631128.jpg'
IMAGE_FORMAT = 'image/jpeg'
class ImageSegmentationTest(unittest.TestCase):
def test_image_segmentation(self):
with open(IMAGE_PATH+IMAGE_NAME, 'rb') as image_file:
... | MykytaKyt/airbus-ship-detection | tests/test_app.py | test_app.py | py | 994 | python | en | code | 0 | github-code | 36 |
25842561969 | from sqlalchemy import ForeignKey, Table, Column
from sqlalchemy.sql.sqltypes import Integer, String, Float, Boolean, Date
from config.db import meta, engine
castings = Table("castings", meta,
Column("id", Integer, primary_key=True),
Column("castingDate", Date),
Column("name", String(255)),
Column("ca... | Lorea13/Profesionales-del-Arte | backend/models/casting.py | casting.py | py | 554 | python | en | code | 0 | github-code | 36 |
2112950145 | import json
class SettingFile(object):
def __init__(self, path, defaults):
self._defaults = defaults
self._path = path
self._data = dict()
self._callbacks = dict()
for setting in defaults:
self._callbacks[setting] = callback_assist()
self.load()
def... | sdfgeoff/newsscroller | setting_file.py | setting_file.py | py | 2,100 | python | en | code | 0 | github-code | 36 |
22541773169 | # RA, 2020-10-13
import contextlib
import io
@contextlib.contextmanager
def open_maybe_gz(file, *, mode='r'):
"""
Open `file` for reading that could be a
- file descriptor
- path to file
- path to gzipped file
`mode` is either 'r' or 'rb', and has to be specified.
Usage:
with... | Luca-Blum/Computational_Biomedicine | project1/solution/humdum/io/gz.py | gz.py | py | 891 | python | en | code | 0 | github-code | 36 |
37980420317 | import random
from enum import Enum
fifth_ed_bad_reactions = ["cringe.jpg", "mike.jpg", "nat1.gif", "nat1.jpg", "jazz.jpg"]
fifth_ed_good_reactions = ["heisenberg.gif", "joji.jpg", "mcmahon.gif", "nat20.jpg"]
sw_bad_reactions = ["bad1.gif", "bad2.gif", "bad3.gif", "bad4.gif",
"bad5.gif", "bad6.jpg... | SPIGS/DiceBot | gamemode.py | gamemode.py | py | 1,148 | python | en | code | 1 | github-code | 36 |
30810878899 |
import serial
import KeyConfig as kc
import struct
import socket
IP = '192.168.1.200'
PORT = 12345
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM, socket.IPPROTO_UDP)
s.setblocking(False)
def read_data():
d: bytes = ser.readline()
if len(d) > 0:
res = d.decode().replace('\r\n', '')
r... | AssoAndrea/UE-ArduinoLightController | PythonMiddleware/main.py | main.py | py | 1,249 | python | en | code | 1 | github-code | 36 |
37877826411 | import os
import re
import shutil
from glob import glob
from osrf_pycommon.process_utils import AsyncSubprocessProtocol
from catkin_tools.common import mkdir_p
from catkin_tools.terminal_color import fmt
from .events import ExecutionEvent
MAX_LOGFILE_HISTORY = 10
class IOBufferContainer(object):
"""A simple ... | catkin/catkin_tools | catkin_tools/execution/io.py | io.py | py | 9,125 | python | en | code | 153 | github-code | 36 |
6171191684 | def find_Team(t, n, l):
if n > l : return l
if n == l : t.append(l)
if (2*n + 1) < l:
t.append(2*n + 1)
find_Team(t, 2*n + 1, l)
if (2*n + 2) < l:
t.append(2*n + 2)
find_Team(t, 2*n + 2, l)
return t
def compare(n, m):
power1 = 0
power2 = 0
for i in n:... | PPZeen/OODS_Exersice | Tree/tree2_4.py | tree2_4.py | py | 805 | python | en | code | 0 | github-code | 36 |
23155147064 | import logging
import os
from datetime import datetime
file_name=f"{datetime.now().strftime('%d_%m_%Y_%H_%M_%S')}.log"
logs_path=os.path.join(os.getcwd(),"logs",file_name)
os.makedirs(logs_path,exist_ok=True)
logs_file_path=os.path.join(logs_path,file_name)
logging.basicConfig(filename=logs_file_path,
... | Hema9121/second-hema-ml-repo | src/logger.py | logger.py | py | 500 | python | en | code | 0 | github-code | 36 |
27930609748 | # Sum of even-valued fibonacci numbers less than or equal to 4 million
def fibonacci(n):
if n <= 1:
return n
else:
return (fibonacci(n-1) + fibonacci(n-2))
total = 0
for i in range(34):
f = fibonacci(i)
if f % 2 == 0:
total = total + f
print... | vandervel/Project-Euler-Problems | solutions/problem2.py | problem2.py | py | 328 | python | en | code | 0 | github-code | 36 |
13979863718 | def read_inputs(input_file):
with open(input_file, 'r') as f:
lines = f.read().splitlines()
data = []
for line in lines:
l = line.split(" ")
data.append([l[0], int(l[1])])
return data
def pilot(input):
horiz_pos = 0
depth = 0
aim = 0
for cmd in input:
... | brad-trantham/adventofcode2021 | src/pilot.py | pilot.py | py | 820 | python | en | code | 0 | github-code | 36 |
73971404584 | from scripts.util.joystick import Joystick
from carla_env import CarlaEnv
from wrapped_carla_env import BiasedAction
import time
import carla
import pygame
import numpy as np
class ManualInterface:
def __init__(self, env: CarlaEnv):
# create env
self.env = env
self.obs = None
se... | imoneoi/carla_env | scripts/manual_control.py | manual_control.py | py | 4,642 | python | en | code | 3 | github-code | 36 |
8785489698 | import gymnasium as gym
from IPython import display
import matplotlib.pyplot as plt
from utils.visualize import visualize_policy, visualize_q, visualize_model, visualize_v
class JupyterRender(gym.Wrapper):
def __init__(self, env):
super().__init__(env)
self.env = env
def render(self, title='En... | moripiri/Reinforcement-Learning-on-FrozenLake | utils/wrapper.py | wrapper.py | py | 2,250 | python | en | code | 4 | github-code | 36 |
34092269946 | # To be filled by students
import unittest
import pandas as pd
import sys
import os
from pandas._libs.missing import NA
from pandas.util.testing import assert_frame_equal
if os.path.abspath(".") not in sys.path: sys.path.append(os.path.abspath("."))
from src.data import Dataset
class TestDataset(unittest.TestCase):
... | amy-panda/EDAWebApp | src/test/test_data.py | test_data.py | py | 1,309 | python | en | code | 0 | github-code | 36 |
26579543800 | '''
Given two strings s and t, determine if they are isomorphic.
Two strings are isomorphic if the characters in s can be replaced to get t.
All occurrences of a character must be replaced with another character while preserving the order of characters. No two characters may map to the same character but a character ... | msencer/leetcode-solutions | easy/python/Isomorphic.py | Isomorphic.py | py | 1,159 | python | en | code | 5 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.