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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
292830537 |
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
####runner, no buffer but O(N^2) time
def deleteDuplicates1(head):
if not head:
return head
cur = head
while cur:
runner = cur
while runner.next:
if cur.val... | shaniavina/Cracking-the-Coding-Interview_python | remove_dups.py | remove_dups.py | py | 1,060 | python | en | code | 0 | github-code | 90 |
6562507686 | from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from score.models import Score
def get_score(request, pk):
try:
data = Score.objects.get(user=pk)
r = {'success': True, 'id': data.user.pk, 'score': data.score}
except Score.DoesNotExist:
r = {'s... | juwaini/pacer | score/views.py | views.py | py | 1,231 | python | en | code | 0 | github-code | 90 |
1399130545 |
import os
import tensorflow as tf
from tensorflow import keras
import warnings
import numpy as np
import cv2
from sklearn import metrics
import numpy as np
from keras.models import Sequential
from keras.layers import LSTM, Input, Dropout
from keras.layers import Dense
from keras.layers import RepeatVecto... | fromwaseem/mmWave | Python/002-auto_encoder/gestures_classification_autoencoder.py | gestures_classification_autoencoder.py | py | 6,773 | python | en | code | 0 | github-code | 90 |
43042358873 | import discord
from random import randint, shuffle
from scenes import scenes, images
from discord.ext import commands
import config
bot = commands.Bot(command_prefix=config.prefix)
players_list = []
gameinfo = {"started":False, "map":None, 'spy':None}
@bot.command()
async def ping(ctx):
await ctx.send('Pong! {0... | LeonardoSola/SpyFall-discord | index.py | index.py | py | 3,432 | python | en | code | 1 | github-code | 90 |
9972254848 | import os
import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
matplotlib.use('Agg')
import seaborn as sns
def main():
""" Machine Learning Dataset Explorer"""
st.title("Machine Learning Dataset Explorer")
st.subheader("Simple Data Science Explorer with St... | GabrielaDS11/Domotica-Assistiva | Streamlit/data_explorer.py | data_explorer.py | py | 4,670 | python | en | code | 0 | github-code | 90 |
70508400618 | import pickle
import socket
HOST = '127.0.0.1'
PORT = 65433
def run_receiver():
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.bind((HOST, PORT))
s.listen()
conn, addr = s.accept()
with conn:
data = conn.recv(2**20)
return pickle.loads(data)... | Inexpediency/itmo-pt-assignments | 04-files/practice/transfer/transfer_object.py | transfer_object.py | py | 475 | python | en | code | 1 | github-code | 90 |
29327657424 | import json
import sys
from math import sqrt
def load_data(file_path):
with open(file_path, 'r', encoding='utf-8') as open_file:
return json.load(open_file)
def get_biggest_bar(bars):
biggest_bar = max(
bars,
key=lambda bar: bar['properties']['Attributes']['SeatsCount'],
)
re... | AlekseyLeskin/3_bars | bars.py | bars.py | py | 2,190 | python | en | code | null | github-code | 90 |
18527183839 | def main():
N, C = (int(i) for i in input().split())
D = [[int(i) for i in input().split()] for j in range(C)]
c = [[int(i) for i in input().split()] for j in range(N)]
base = [[((i+1)+(j+1)) % 3 for j in range(N)] for i in range(N)]
d = [{i: 0 for i in range(1, C + 1)} for j in range(3)]
for i ... | Aasthaengg/IBMdataset | Python_codes/p03330/s668850972.py | s668850972.py | py | 783 | python | en | code | 0 | github-code | 90 |
18069227479 | n,m = map(int,input().split())
x_li = [0]*m
y_li = [0]*m
for i in range(m):
x_li[i],y_li[i]=map(int,input().split())
map_li = [1]*n
red = [False]*n
red[0]=True
for i in range(m):
x,y = x_li[i],y_li[i]
x,y = x-1,y-1
if red[x] and map_li[x]>1:
red[y]=True
elif red[x]:
red[y]=True
... | Aasthaengg/IBMdataset | Python_codes/p04034/s264615963.py | s264615963.py | py | 402 | python | en | code | 0 | github-code | 90 |
6127722990 | import numpy as np
import sys
def load_binary_data(filename, dtype=np.float32):
"""
We assume that the data was written
with write_binary_data() (little endian).
"""
f = open(filename, "rb")
data = f.read()
f.close()
_data = np.frombuffer(data, dtype)
if sys.byteorder == 'big':... | tyler-a-cox/cross-correlation | twentyonecmFAST.py | twentyonecmFAST.py | py | 5,608 | python | en | code | 0 | github-code | 90 |
18289121529 | from collections import deque
from copy import deepcopy
h,w = map(int,input().split())
s = [list(input()) for i in range(h)]
t = ((0,1),(1,0),(-1,0),(0,-1))
m = 0
for sy in range(h):
for sx in range(w):
if s[sy][sx] == "#":
continue
ss = deepcopy(s)
ss[sy][sx] = "#"
q = ... | Aasthaengg/IBMdataset | Python_codes/p02803/s665606996.py | s665606996.py | py | 787 | python | en | code | 0 | github-code | 90 |
22666407738 | """
Fichier contenant tout le code relatif à
la gestion de base de données.
**************
Sauf mention contraire, tout le code
écrit dans ce fichier à été écrit par
Romain Gascoin.
"""
import random
import sqlite3
# Création de la connection à la base de données
conn = sqlite3.connect("locale/sudoku.db")
c = conn.... | GuilianCD/nsi-sudoku | database.py | database.py | py | 5,844 | python | fr | code | 1 | github-code | 90 |
4364269282 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import torch
from transformers import BertTokenizer
def precition(text):
PRETRAINED_MODEL_NAME = "bert-base-cased" # 指定繁簡中文 BERT-BASE 預訓練模型
# 取得此預訓練模型所使用的 tokenizer
tokenizer = BertTokenizer.from_pretrained(PRETRAINED_MODEL_NAME)
vocab = tokenizer.vocab
tokens ... | qwe8989785/Nkust_EnglishProject | EPWeb/index/code/bertTest.py | bertTest.py | py | 1,563 | python | en | code | 0 | github-code | 90 |
41613067651 | __author__ = 'anthonymace'
import datetime
def get_hours_from_each_day():
hours_list = []
for week in range(1, 3):
number_of_days = int(input("How many days did you work week {}? ".format(week)))
week_hours = []
for day in range(1, number_of_days + 1):
hours = input("Enter... | amaceing/PythonProjects | HourTracker/HourTracker.py | HourTracker.py | py | 2,377 | python | en | code | 0 | github-code | 90 |
2758812718 | # В этом файле пишется функция
from database import *
from view import *
def main():
while True:
num = input_num()
if num == 1:
res = input_name()
write_name(res)
print("Успешно записано\n")
if num == 2:
char = input_char()
search... | CeEcobot/PYTHON_2023 | Lesson_8/telefone/controller.py | controller.py | py | 433 | python | ru | code | 0 | github-code | 90 |
73567349096 | import os
from flask import Flask, jsonify, request, abort, Response
from typing import Union, Optional, List, Any
from dataclasses import asdict
from utils import make_query_response, get_greetings, Greetings
from greet import greetings as g
app = Flask(__name__)
BASE_DIR = os.path.dirname(os.path.abspath(__file__))... | cestxvcdim/SkyPro_24.2_HW | main.py | main.py | py | 1,513 | python | en | code | 0 | github-code | 90 |
40093709920 | from torch import nn
from torchvision import models
from src.utils.registry import REGISTRY
from timm import create_model
@REGISTRY.register('resnet')
class ResNetModel(nn.Module):
def __init__(self, num_classes=5, classify=True):
super(ResNetModel, self).__init__()
# onnx_model.graph.input[0].t... | Tracker1701/Smart_Contracts_Vulnerability_Detection | smart-contracts-vulnerabilities - 2D - convxnet - CNN(1)/src/modeling/network/backbone/resnet.py | resnet.py | py | 1,737 | python | en | code | 1 | github-code | 90 |
72763998697 | # -*- coding: utf-8 -*-
# Adapted from lstm_text_generation.py in keras/examples
from __future__ import print_function
from keras.layers.recurrent import SimpleRNN
from keras.models import Sequential
from keras.layers import Dense, Activation
import numpy as np
INPUT_FILE = "../data/alice_in_wonderland.txt"
# extract... | PacktPublishing/Deep-Learning-with-Keras | Chapter06/alice_chargen_rnn.py | alice_chargen_rnn.py | py | 3,769 | python | en | code | 1,049 | github-code | 90 |
5011171155 | import os
import re
import typing
def find_default_filename(existing_names: typing.List[str]) -> dict:
other_names = [split_filename(n)['name'] for n in existing_names]
index = 0
for i in range(1000):
index += 1
name = '{}'.format(index)
if name not in other_names:
ret... | sernst/cauldron | cauldron/session/naming.py | naming.py | py | 4,062 | python | en | code | 78 | github-code | 90 |
24384473077 | #! python3
import sys
import gzip
from signal import signal, SIGPIPE, SIG_DFL
signal(SIGPIPE,SIG_DFL)
import string
# Get the file name from the commandline.
if len(sys.argv) == 3:
patient_list = sys.argv[2]
gene_list = sys.argv[1]
output_name = gene_list + "." + patient_list + ".generes"
output_na... | MagdalenaZZ/Python_ditties | cosmic_parser.py | cosmic_parser.py | py | 3,483 | python | en | code | 0 | github-code | 90 |
7368773164 | """
Input files:
papers.json
methods.json
and API (https://paperswithcode.com/api/v1/)
Output files:
papers.nt
tasks.nt
"""
from rdflib import Graph
from rdflib import URIRef, BNode, Literal
from rdflib.namespace import DCTERMS, RDF, RDFS, XSD, OWL, FOAF
import json
i... | davidlamprecht/linkedpaperswithcode | transformation-scripts/01_papers.py | 01_papers.py | py | 11,898 | python | en | code | 1 | github-code | 90 |
30609536728 | # Given a string s, return true if it is a palindrome, or false otherwise.
# https://leetcode.com/problems/valid-palindrome/
class Solution:
def isPalindrome(self, s: str) -> bool:
s = s.lower()
# List comprehension to remove special chars
s = ''.join([i for i in s if i.isalnum()])
... | aykhazanchi/leetcode | 04_valid_palindrome.py | 04_valid_palindrome.py | py | 461 | python | en | code | 0 | github-code | 90 |
32153357160 | from threading import Thread
import time
class Consumer:
def __init__(self, text_list_obj, consumer_number, **kwargs):
self.override_fn = kwargs.pop('override_fn', None)
self.text_list_obj = text_list_obj
self.is_killed = False
self.consumer_number = consumer_number
t = Thr... | cosmos-sajal/low_level_design | publisher_subscriber/consumer.py | consumer.py | py | 1,941 | python | en | code | 3 | github-code | 90 |
30759105951 | from Tkinter import *
from tkMessageBox import *
from Tkinter import Tk, Frame, BOTH
import os
class GUI(Frame):
def __init__(self, parent = None):
Frame.__init__ (self)
self.pack()
self.master.title("Staff GUI")
self.master.minsize(width=100,height=70)
... | edmund02/Gym-Fitness-Planner | StaffGUI.py | StaffGUI.py | py | 1,343 | python | en | code | 0 | github-code | 90 |
72208168298 | '''
给你一个树，请你 按中序遍历 重新排列树，使树中最左边的结点现在是树的根，并且每个结点没有左子结点，只有一个右子结点。
示例 ：
输入：[5,3,6,2,4,null,8,1,null,null,null,7,9]
5
/ \
3 6
/ \ \
2 4 8
/ / \
1 7 9
输出：[1,null,2,null,3,null,4,null,5,null,6,null,7,null,8,null,9]
1
\
2
\
3
\
4
\
... | Asunqingwen/LeetCode | 简单/递增顺序查找树.py | 递增顺序查找树.py | py | 1,357 | python | zh | code | 0 | github-code | 90 |
17941412052 | from pynput.keyboard import Listener
import snake
snake = snake.Snake(3)
def main():
with Listener(on_press=event_listener) as listener:
listener.join()
def event_listener(key):
switch = {
key.up: 'U',
key.down: 'D',
key.left: 'L',
key.right: 'R'
}
snake.mov... | OmerElmaliach/SnakeGame | main.py | main.py | py | 396 | python | en | code | 0 | github-code | 90 |
31736006426 | """
The helper functions for our YOLO model.
"""
def get_model_from_config(name):
"""
:param name: The file path for the configuation file.
Get the parameters of each layer of the neural network from the config file based on the given path name.
"""
module_params = []
module = open(name, 'r')
... | CSMYang/YOLOLOLOLOL | util.py | util.py | py | 743 | python | en | code | 0 | github-code | 90 |
35619153316 | from item import Item
from errors import InvalidStateError
class NPC(Item):
def __init__(self, names, item_description, description, has_task, gives_task, speeches, printer, events, game):
super(NPC, self).__init__(False, False, True, names, item_description, description, printer)
self.speeches = speeches
self.... | rjmcf/HailTraveller | npc.py | npc.py | py | 2,951 | python | en | code | 0 | github-code | 90 |
70639103016 | #!/usr/bin/env python3
from bs4 import BeautifulSoup
import sys
import json
import collections
def transformHtmlTableToJson(inputPath, fileName):
inputFile = open(inputPath,"r")
table_data = [[cell.text for cell in row("td")] for row in BeautifulSoup(inputFile.read(), 'html.parser')("tr")]
inputFile.clo... | ChianHuei/centriqe_pipeline | scripts for QMS/convertTableToJson.py | convertTableToJson.py | py | 1,288 | python | en | code | 0 | github-code | 90 |
12356695058 | import string
import time
from urllib.parse import quote
from urllib.request import urlopen, urlretrieve
from bs4 import BeautifulSoup
from csvFunc import csvFunc
class searchFunc():
gUrl = ""
gBbsUrl = ""
gSearchUrl = ""
gComicTitle = None
gResultFromCvs = None
gCharSet = "utf-8"
def __init__( self, aUrl, aB... | martinkang/Study | Python/Web_Scraping/miniToonNotifier/searchFunc.py | searchFunc.py | py | 4,826 | python | en | code | 5 | github-code | 90 |
7438099997 | import numpy
from Project import functions, functions2
import matplotlib.pyplot as plt
def save_ApplicationWorkingPoint_DCFs(scores, L, costs, path, applicationWorkingPoints):
DCFsNormalized = []
DCFsNormalized2 = []
DCFsNormalizedMin = []
applicationWorkingPointsPrint = ['0_1', '0_5', '0_9']
for i,... | c0st0la/MachineLearning | Project/Evaluation/evaluation.py | evaluation.py | py | 12,938 | python | en | code | 0 | github-code | 90 |
30463095817 | import sys
from collections import deque
n = int(sys.stdin.readline())
deq = deque()
for i in range(n):
text = sys.stdin.readline().strip()
if text.split()[0] == 'push_front':
deq.appendleft(text.split()[1])
elif text.split()[0] == 'push_back':
deq.append(text.split()[1])
... | laagom/Algorithm | 백준/Silver/10866. 덱/덱.py | 덱.py | py | 723 | python | en | code | 0 | github-code | 90 |
9832654609 |
import cv2
import numpy as np
import os
# 入出力共通
fp = {"gray":[], "load":[], "dump":[], "dir":"", "sample":[]}
# テンプレートを生成する(0102用)
def get_templates0102():
temp0 = cv2.imread("tmpnum.png")
temp0g = cv2.cvtColor(temp0, cv2.COLOR_BGR2GRAY)
return [
temp0g[
(0 if (i<5) else 33):(33 if (i... | symtkhr/gwreg | crop/match.py | match.py | py | 13,323 | python | en | code | 0 | github-code | 90 |
40327336495 | #!/usr/bin/python3
# coding: utf-8
import sys
import os
import zhconv
from tqdm import tqdm
# pip3 install zhconv
def convert_hans(file_path):
if os.path.isfile(file_path):
input_files = [file_path]
elif os.path.isdir(file_path):
input_files = [os.path.join(file_path, f) for f in os.listdir(f... | gswyhq/hello-world | file相关/繁体转简体.py | 繁体转简体.py | py | 1,125 | python | en | code | 9 | github-code | 90 |
29702215872 | """
Python Pygal常见数据图（折线图、柱状图、饼图、点图、仪表图和雷达图）详解
Pygal 同样支持各种不同的数据图，比如饼图、折线图等。Pygal 的设计很好，不管是创建哪种数据图，Pygal 的创建方式基本是一样的，都是先创建对应的数据图对象，然后添加数据，最后对数据图进行配置。因此，使用 Pygal 生成数据图是比较简单的。
折线图
折线图与柱状图很像，它们只是表现数据的方式不同，柱状图使用条柱代表数据，而折线图则使用折线点来代表数据。因此，生成折线图的方式与生成柱状图的方式基本相同。
使用 pygal.Line 类来表示折线图，程序创建 pygal.Line 对象就是创建折线图。下面程序示范了利用折线图来... | Bngzifei/PythonNotes | Python数据可视化/Python Pygal常见数据图（折线图、柱状图、饼图、点图、仪表图和雷达图）详解.py | Python Pygal常见数据图（折线图、柱状图、饼图、点图、仪表图和雷达图）详解.py | py | 1,653 | python | zh | code | 1 | github-code | 90 |
34350274856 | from __future__ import absolute_import
import botocore.session
import cachetools
import requests
from datetime import datetime
from cloudperf.providers import aws_helpers
# link to the newest endpoints.json in case the installed botocore doesn't
# yet have a region
ENDPOINTS_URL = "https://raw.githubusercontent.com/bo... | bra-fsn/cloudperf | cloudperf/providers/aws.py | aws.py | py | 4,127 | python | en | code | 7 | github-code | 90 |
27129949095 | #! /usr/bin/env python3
import argparse
import logging
import pathlib
import pandas as pd
from src import estimator, formatter, preprocessor
logging.basicConfig(
level=logging.INFO,
format="[%(asctime)s line:%(lineno)-3d %(levelname)-8s ] %(message)s",
datefmt="%Y/%m/%d %H:%M:%S",
)
def main(argv):
... | misakisuna705/AOSP | main.py | main.py | py | 2,811 | python | en | code | 0 | github-code | 90 |
18550379709 | s=input()
ans=""
if len(s)<26:
cnt_alphabet=[0]*26
for i in range(len(s)):
cnt_alphabet[ord(s[i])-97]+=1
moji=""
for i in range(26):
if cnt_alphabet[i]<1:
moji=chr(i+97)
break
ans=s+moji
else:
cnt=25
for i in range(24,-1,-1):
if o... | Aasthaengg/IBMdataset | Python_codes/p03393/s443822450.py | s443822450.py | py | 630 | python | en | code | 0 | github-code | 90 |
21916476162 | # -*- coding: utf8 -*-
from __future__ import division
import sys
import math
from collections import defaultdict
VOCAB_NUMBER = 10**6
UNKNOWN_PROB = 0.05
def load_trained_model(train_file):
trained_model = defaultdict(float)
with open(train_file, 'r') as f:
for line in f:
word, prob = li... | ochiaierika/nlptutorial | 01_unigramlm/confirm-test-unigram.py | confirm-test-unigram.py | py | 1,348 | python | en | code | 0 | github-code | 90 |
18004056849 | # coding: utf-8
import sys
#from operator import itemgetter
sysread = sys.stdin.buffer.readline
read = sys.stdin.buffer.read
#from heapq import heappop, heappush
#from collections import defaultdict
sys.setrecursionlimit(10**7)
#import math
#from itertools import product, accumulate, combinations, product
#import bisec... | Aasthaengg/IBMdataset | Python_codes/p03739/s557767856.py | s557767856.py | py | 1,082 | python | en | code | 0 | github-code | 90 |
18216593749 | MOD = 998244353
n, m, k = map(int, input().split())
c = 1
cnt = 0
for x in range(k + 1):
cnt += c * m * pow(m - 1, n - 1 - x, MOD)
cnt %= MOD
c *= (n - x - 1) * pow(x + 1, MOD - 2, MOD)
c %= MOD
print(cnt) | Aasthaengg/IBMdataset | Python_codes/p02685/s804312814.py | s804312814.py | py | 222 | python | en | code | 0 | github-code | 90 |
73531841578 | from torch.utils.data import DataLoader
import time
import torch
from torch import nn
# import wandb
from transformers import get_linear_schedule_with_warmup
from torch.optim.lr_scheduler import CosineAnnealingLR, CyclicLR
# from model.load_model import load_model_from_path
# import logging
# from utils import *
from e... | chenkaisun/MMLI1 | code/train.py | train.py | py | 10,037 | python | en | code | 1 | github-code | 90 |
37838319925 | import json
from django.conf import settings
from django.test import TestCase
class ServerUpdateTests(TestCase):
def setUp(self) -> None:
settings.DEBUG = False
# def test_server_release_illegal_action(self):
# head = {
# "User-Agent": "GitHub-Hookshot/12dd831",
#... | HEYsir/blog_system | tests/test_depoly.py | test_depoly.py | py | 2,359 | python | en | code | 1 | github-code | 90 |
1814835146 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 16 17:24:40 2020
@author: Rajesh
"""
salary = '$876,001'
# x=salary[1:4]+salary[5:]
x=salary[1:4]+salary[5:8]
x=int(x)
print('Salary :', x)
sal=input('Enter the salary into $ and Convert into Integer :')
x=salary[1:4]+salary[5:]
x=int(x)
print('Salary :', x)
'$777... | Rajesh-sharma92/FTSP_2020 | Python_CD3/Salary_Integer.py | Salary_Integer.py | py | 325 | python | en | code | 3 | github-code | 90 |
36318173945 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from __future__ import absolute_import
import sys
from setuptools import setup, find_packages
import codecs
import os
import re
def read(*parts):
path = os.path.join(os.path.dirname(__file__), *parts)
with codecs.open(path,... | weiwongfaye/python_cli_template | setup.py | setup.py | py | 1,345 | python | en | code | 0 | github-code | 90 |
26903671523 | # input
d = float(input('Wat was de initiële populatiedichtheid: '))
r = float(input('Wat is de vruchtbaarheids parameter: '))
s = int(input('Over hoeveel tijdstappen wil de populatie dichtheid simuleren: '))
# programma
print(d)
for i in range(s - 1):
d = t = r * d * (1 - d)
print(d)
| xander27481/informatica5 | 07a - iteraties Fortus/+/Chaos.py | Chaos.py | py | 296 | python | nl | code | 0 | github-code | 90 |
20070194738 | import pandas as pd
import numpy as np
import requests
import bs4 as bs
from six.moves import urllib
from tmdbv3api import TMDb
import json
from tmdbv3api import Movie
link = "https://en.wikipedia.org/wiki/List_of_American_films_of_2020"
source = urllib.request.urlopen(link).read()
soup = bs.BeautifulSo... | adityanandgaokar/movie_recommendation_system_heroku | data_preprocessing_4.py | data_preprocessing_4.py | py | 3,229 | python | en | code | 0 | github-code | 90 |
2502167892 | import random
def get_score(name):
read_file = open("rating.txt", "r")
for record in read_file:
if name in record:
score = record.split(" ")[1].strip("\n")
print(f"Your rating: {score}")
read_file.close()
return
else:
read_file.close()
... | vladyslavmakartet/-rock_paper_scissors | Rock-Paper-Scissors/game.py | game.py | py | 3,679 | python | en | code | 0 | github-code | 90 |
18216421589 | n,m,k = map(int,input().split())
mod = 998244353
def comb(n,k):
if n < k: return 0
if n < 0 or k < 0: return 0
return fac[n]*finv[k]%mod*finv[n-k]%mod
fac = [0]*(n+1)
finv = [0]*(n+1)
fac[0] = finv[0] = 1
for i in range(1,n+1):
fac[i] = fac[i-1]*i%mod
finv[i] = pow(fac[i],mod-2,mod)
ans = 0
for i i... | Aasthaengg/IBMdataset | Python_codes/p02685/s603835671.py | s603835671.py | py | 407 | python | en | code | 0 | github-code | 90 |
5360443372 | """
1초/ 소리강약 체크 횟수 /h
체크 값 저장 비트 수 / b
트랙 채널개수 /c
시간 /s
"""
h, b, c, s = map(int, input().split())
result = (h * b * c * s) / 8
result /= 1024**2
print("%.1f" %result +" MB") | Damnun/CodeUp_100Q | Question_84.py | Question_84.py | py | 237 | python | ko | code | 0 | github-code | 90 |
3898100196 | # this file moves all pdf files into a folder called "reflections", which will be made if necessary
import os
# https://stackoverflow.com/questions/8858008/how-to-move-a-file,
# answered by Peter Vlaar
import os, shutil, pathlib, fnmatch
def move_dir(src: str, dst: str, pattern: str = '*'):
if not os.path.isdi... | ofloveandhate/python_autograder | move_reflections.py | move_reflections.py | py | 615 | python | en | code | 0 | github-code | 90 |
6884842164 | p = int(input("vvedite p (2<p<=10):"))
x,y = int(1),int(1)
for x in range (1,p):
a=[]
for y in range (1,p):
z = (x*y//p)*10 + (x*y)% p
a.append(z)
print(a)
| nmt132/132-NOVIKOV | табличбка.py | табличбка.py | py | 189 | python | en | code | 2 | github-code | 90 |
18458777139 | N = int(input())
A = list(map(int, input().split()))
B = list(map(int, input().split()))
K = 0
S = 0
T = []
if sum(A) < sum(B):
K = -1
else:
for i in range(N):
if A[i] < B[i]:
K += 1
S = S + B[i] - A[i]
elif A[i] > B[i]:
T.append(A[i] - B[i])
else:
... | Aasthaengg/IBMdataset | Python_codes/p03151/s905709903.py | s905709903.py | py | 403 | python | en | code | 0 | github-code | 90 |
28300553712 | import pygame
import sys
pygame.init()
display = pygame.display.set_mode((800,800))
pygame.display.set_caption('Instruction Screen')
def Instruction():
width = display.get_width()
height = display.get_height()
s = (600,600)
color_white = (225,255,255)
color_light = (180,180,180)
color... | ColeHeilman/Preposal-and-Github-lab | Instructions.py | Instructions.py | py | 2,893 | python | en | code | 0 | github-code | 90 |
40549560016 | from .predictorproxy import PredictorProxy
from .predictor import _SAMPLE_VIDEO_FRAMES
import time
import cv2
import os
import datetime
_DEFAULT_IMG = cv2.imread(os.path.join(
os.path.dirname(__file__), 'templates', 'Roboy_chef.jpg'))
if _DEFAULT_IMG is None:
raise ValueError("Default image was not found")
... | mfedoseeva/roboy-activity-recognition | app_code/inference/HARController.py | HARController.py | py | 1,448 | python | en | code | 0 | github-code | 90 |
19379098686 | from Functions.Tests import *
from Functions.Visualizations import *
def run_tests():
# first analysis
master_results = {}
for i in range(0, 5):
test_field(master_results, i)
index = ['standard', 'food_heavy', 'middle_food', 'middle_shelter', 'shelter_heavy']
master_results = pd.DataFrame... | joshfactorial/pollinator_simulation | Functions/run_tests.py | run_tests.py | py | 1,898 | python | en | code | 1 | github-code | 90 |
18381367009 | N = int(input())
tasks = [None] * N
for i in range(N):
tasks[i] = tuple(map(int,input().split()))
tasks = sorted(tasks, key = lambda x:x[1])
time = 0
for t in tasks:
if t[1] - t[0] < time:
print("No")
break
time += t[0]
else:
print("Yes") | Aasthaengg/IBMdataset | Python_codes/p02996/s977400855.py | s977400855.py | py | 257 | python | en | code | 0 | github-code | 90 |
18429507249 | import sys
n = int(input())
b = list(map(int, input().split()))
ans = []
for i in range(n):
for j in range(len(b), 0, -1):
if b[j - 1] == j:
ans.append(j)
del b[j - 1]
break
else:
print(-1)
sys.exit()
ans.reverse()
for i in ans:
print(i) | Aasthaengg/IBMdataset | Python_codes/p03089/s690781028.py | s690781028.py | py | 310 | python | en | code | 0 | github-code | 90 |
10889633535 | import numpy as np
import numpy.linalg as la
import scipy.sparse as sp
import scipy.sparse.linalg as spla
import sys
from functools import reduce
# 2022/10 現在、正方格子のみ
# ===============================================================================
# 1次元の tight-binding model
def _D1d(N, t, bc):
if N==1:
... | masaico/TB_models | tbmodels.py | tbmodels.py | py | 5,237 | python | en | code | 0 | github-code | 90 |
35224038049 | import sklearn.ensemble as skl_ensemble
from Orange.base import RandomForestModel
from Orange.data import Variable, ContinuousVariable
from Orange.preprocess.score import LearnerScorer
from Orange.regression import SklLearner, SklModel
from Orange.regression.tree import SklTreeRegressor
__all__ = ["RandomForestRegres... | biolab/orange3 | Orange/regression/random_forest.py | random_forest.py | py | 1,950 | python | en | code | 4,360 | github-code | 90 |
72021774698 | from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.db import IntegrityError
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render, redirect
from django.urls import reverse
from django import forms
fro... | jeparalta/web50 | commerce/auctions/views.py | views.py | py | 8,232 | python | en | code | 0 | github-code | 90 |
1791370275 | import os
import urllib.request
from flask import Flask, flash, request, redirect, url_for, render_template
from werkzeug.utils import secure_filename
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import tensorflow as tf
from matplotlib.image import imread
from... | danish-islam/Pneumonia-Detector | xray-flask-model.py | xray-flask-model.py | py | 2,956 | python | en | code | 1 | github-code | 90 |
16749634444 | import cv2
import numpy as np
import torch
class LaMa:
"""Class is designed for image inpainting, which is the process of filling in damaged parts of an image."""
pad_mod = 8
def __init__(self, model_path: str, device: str) -> None:
self.device = device
self.model = torch.jit.load(model_... | logo-wizard/logo-wizard-ml-scripts | eraser/eraser.py | eraser.py | py | 3,306 | python | en | code | 1 | github-code | 90 |
18414072029 | import random
from operator import itemgetter
import sys
sys.setrecursionlimit(1000000)
ans=0
def gcd(x,y):
x,y=max(abs(x),abs(y)),min(abs(x),abs(y))
if x%y==0:
return y
while x%y!=0:
x,y=y,x%y
return y
def gcd_all(l):
rt=l.pop()
for i in l:
rt=gcd(i,rt)
return rt
... | Aasthaengg/IBMdataset | Python_codes/p03061/s493423004.py | s493423004.py | py | 737 | python | en | code | 0 | github-code | 90 |
29474157511 | import pandas as pd
import torch
from tqdm.auto import tqdm
from transformers import AutoTokenizer
class CustomDataset(torch.utils.data.Dataset):
def __init__(
self,
data_file,
state,
text_columns,
target_columns,
max_length=256,
model_name="klue/roberta-sma... | boostcampaitech5/level3_nlp_finalproject-nlp-08 | model/Filter/dataloader.py | dataloader.py | py | 2,313 | python | en | code | 29 | github-code | 90 |
14478284531 | """Tests for class :class:`ncdata.NcDimension`."""
from unittest import mock
import numpy as np
import pytest
from ncdata import NcDimension
class Test_NcDimension__init__:
def test_simple(self):
name = "dimname"
# Use an array object for test size, just so we can check "is".
# N.B. assu... | pp-mo/ncdata | tests/unit/core/test_NcDimension.py | test_NcDimension.py | py | 2,034 | python | en | code | 5 | github-code | 90 |
29022786430 | #!/usr/bin/env python
import json
import gzip
import uproot
import numexpr
import numpy as np
from coffea import hist, lookup_tools
from coffea.util import load, save
from coffea.hist import plot
corrections = {}
extractor = lookup_tools.extractor()
extractor.add_weight_sets(["2016_n2ddt_ * correction_files/n2ddt_tr... | nsmith-/coffeandbacon | analysis/compile_corrections.py | compile_corrections.py | py | 20,687 | python | en | code | 1 | github-code | 90 |
40239787688 | # -*- coding: utf-8 -*-
"""
Created on Tue Dec 29 12:20:40 2020
@author: SethHarden
"""
import math
# Add any extra import statements you may need here
"""
We receive 2 arrays (A,B)
We are told their lengths with N.
Determine if there is a way to make A == B by reversing any sub arrays from array B (any number of t... | sethmh82/SethDevelopment | Python/Array-Reverse-to-Make-Equal.py | Array-Reverse-to-Make-Equal.py | py | 2,127 | python | en | code | 1 | github-code | 90 |
18323451309 | def main():
n = int(input())
d = list(map(int,input().split()))
mod = 998244353
if d[0]!=0:
print(0)
return
D = {0:1}
for i in range(1,n):
if d[i]==0:
print(0)
return
if D.get(d[i]) == None:
D[d[i]] = 1
else:
... | Aasthaengg/IBMdataset | Python_codes/p02866/s221872293.py | s221872293.py | py | 575 | python | en | code | 0 | github-code | 90 |
4539893840 | import cv2
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import convolve2d
from scipy.ndimage.filters import gaussian_filter
import skimage.io as io
from nonmaxsuppts import nonmaxsuppts
K = 0.04
def detect_features(image):
"""
Computer Vision 600.461/661 Assignment 2
Args:
image (numpy.n... | warmspringwinds/jhu_cv_homeworks | hw_2/detect_features.py | detect_features.py | py | 1,188 | python | en | code | 0 | github-code | 90 |
15756421891 | from collections import deque
import pickle
string_f = '''75
95 64
17 47 82
18 35 87 10
20 04 82 47 65
19 01 23 75 03 34
88 02 77 73 07 63 67
99 65 04 28 06 16 70 92
41 41 26 56 83 40 80 70 33
41 48 72 33 47 32 37 16 94 29
53 71 44 65 25 43 91 52 97 51 14
70 11 33 28 77 73 17 78 39 68 17 57
91 71 52 38 17... | dzinrai/my_euler_proj | e18.py | e18.py | py | 3,344 | python | en | code | 0 | github-code | 90 |
18407712869 | from collections import deque
m, k = [int(i) for i in input().split()]
if k >= 2 ** m:
print(-1)
exit()
if k == 0:
q = deque([])
for i in range(2 ** m):
q.append(i)
q.appendleft(i)
print(*q)
exit()
if m == 1 and k == 1:
print(-1)
exit()
S = set(i for i in range(2 ** ... | Aasthaengg/IBMdataset | Python_codes/p03046/s624134655.py | s624134655.py | py | 456 | python | en | code | 0 | github-code | 90 |
14316115270 | from django.apps import apps
from rest_framework import serializers
from rest_flex_fields import FlexFieldsModelSerializer
from drf_extra_fields.fields import Base64ImageField
__all__ = [
'OrderExtensionSerializer',
]
Order = apps.get_model(*'order.Order'.split())
OrderExtension = apps.get_model(*'order.OrderExte... | Chaoslecion123/Diver | saleor/rest/serializers/order_extension.py | order_extension.py | py | 1,357 | python | en | code | 0 | github-code | 90 |
14981771755 | def merge_sort(arr, left, right):
if left < right:
mid = (left + right) // 2
# Recursively sort first half and second half
merge_sort(arr, left, mid)
merge_sort(arr, mid + 1, right)
# Merge the sorted halves
merge(arr, left, mid, right)
#... | CQUer-nanzhong/ClassContents-Hw-and-Lab-of-Data-Structure-and-Algorithm | Homework-by-python/Homework-Week-9/Hw 9_1 二路归并排序.py | Hw 9_1 二路归并排序.py | py | 1,159 | python | en | code | 1 | github-code | 90 |
20667393565 | def solution(dartResult):
answer = 0
temp = []
import re
# 스타상 : 해당 점수와 바로 전에 얻은 점수를 각각 2배, 다른 효과(스타, 아차)와 중첩 가능
# 아차상 : 해당 점수 마이너스
# 3번의 기회
num_list = re.split(r'[^0-9]', dartResult)[:-1]
bonus_option_list = re.findall(r'[\D]', dartResult)
for num, bonus_option in zip(num_... | jjjk84/code_study | 프로그래머스/lv1/17682. ［1차］ 다트 게임/［1차］ 다트 게임.py | ［1차］ 다트 게임.py | py | 950 | python | ko | code | 0 | github-code | 90 |
18354324439 | from bisect import bisect_left
s = list(input())
t = list(input())
alf=[[] for _ in range(26)]
for i in range(len(s)):
alf[ord(s[i])-97].append(i)
now_alf = -1
sets = 0
i = 0
while i < len(t):
next_alf = ord(t[i])-97
if len(alf[next_alf]) == 0:
print(-1)
exit()
if now_alf > alf[n... | Aasthaengg/IBMdataset | Python_codes/p02937/s484666916.py | s484666916.py | py | 536 | python | en | code | 0 | github-code | 90 |
72682869417 | import streamlit as st
def main():
st.title("Streamlit Session State Tutorial")
st.subheader("Counter Example")
# Streamlit runs from top to bottom on every iteration so
# we check if 'count' has already been initialized in st.session_state
# if no, the initialize count to 0
# if count is already initialized, ... | PacktPublishing/Web-App-Development-Made-Simple-with-Streamlit | Chapter15/Chapter15-session_state.py | Chapter15-session_state.py | py | 1,096 | python | en | code | 5 | github-code | 90 |
37136471876 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File : game_stats.py
@Time : 2019/03/31 01:11:49
@Author : leacoder
@Version : 1.0
@Contact : leacock1991@gmail.com
@License :
@Desc : None
'''
# here put the import lib
#在这个游戏运行期间， 我们只创建一个GameStats 实例， 但每当玩家开始新游戏时， 需要重置一些统计信息。
#我们在方法reset_... | lichangke/Python3_Project | Python编程从入门到实践/alien_invasion/game_stats.py | game_stats.py | py | 1,109 | python | zh | code | 3 | github-code | 90 |
8868862502 | from Word.Syllabizer import WordSyllabizer
class Cursor(object):
def __init__(self, character, characters):
super(Cursor, self).__init__()
self.character = character
self.characters = characters
self.position = 0
self.syllable_break = False
self.prev_symbols = []
... | pepperpepperpepper/WordSynth | WordSynth/Word/Syllabizer/Trouvain.py | Trouvain.py | py | 4,566 | python | en | code | 0 | github-code | 90 |
37655136156 | from flask import Flask
from flask import request
import requests
import json
import threading
app = Flask(__name__)
@app.route("/")
def receive_code():
code = request.args.get('code', '')
if code is not "":
print("Code received:" + code)
url = "https://iam.viessmann.com/idp/v2/token"
h... | fschw/dashboard | flasktest.py | flasktest.py | py | 1,335 | python | en | code | 0 | github-code | 90 |
28318156910 | # Reversi (Othello)
import random
import sys
def ispiši(ploča):
# Ispisuje ploču. Ne vraća ništa.
vodoravna = ' +---+---+---+---+---+---+---+---+'
uspravne = ' | | | | | | | | |'
print( ' 1 2 3 4 5 6 7 8')
print(vodoravna)
for y in range(8):
pr... | vedgar/inventwithpython3rded | translations/hr/src/UIsim1.py | UIsim1.py | py | 8,315 | python | hr | code | 0 | github-code | 90 |
70291264618 | __author__ = "Alien"
class Settings():
'''存储所有设置的类'''
def __init__(self):
# 屏幕长
self.screen_width = 1200
# 屏幕宽
self.screen_height = 800
# 屏幕背景色
self.bg_color = (230,230,230)
# 每次移动的像素点
self.ship_speed_factor = 3.5
# 子弹设置
self.bulle... | Big-Belphegor/python-stu | Frist_project/settings.py | settings.py | py | 736 | python | en | code | 0 | github-code | 90 |
17974160189 | K = int(input())
N = 50
n = K // N
ans = [49+n] * N
K %= N
for i in range(N):
if i < K:
ans[i] += N - K + 1
else:
ans[i] -= K
print(N)
print(*ans) | Aasthaengg/IBMdataset | Python_codes/p03646/s580709218.py | s580709218.py | py | 160 | python | en | code | 0 | github-code | 90 |
5908490599 | # Problem description:
# https://github.com/HackBulgaria/Programming0-1/tree/master/week3/1-Baby-Steps
def square(x):
return x ** 2
#print(square(5))
def fact(x):
start = 1
product = 1
while start <= x:
product *= start
start += 1
return product
#print(fac... | keremidarski/python_playground | Programming 0/week 3/01_begin_functions.py | 01_begin_functions.py | py | 999 | python | en | code | 0 | github-code | 90 |
1865113868 | def leftRotate(arr, d, n):
for i in range(gcd(d, n)):
temp = arr[i]
j = i
while 1:
k = j + d
if k >= n:
k = k - n
if k == i:
break
arr[j] = arr[k]
j = k
arr[j] = temp
def printArray(arr, siz... | Anjan50/Python | Basic Programs/array_roatation_n_times.py | array_roatation_n_times.py | py | 624 | python | en | code | 17 | github-code | 90 |
376952219 |
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5 import QtCore, QtGui
import os, time, subprocess, sys, traceback
from widget_gui import Ui_WidgetAssist
from user_alert import Ui_AlertWindow
import widget_module as mod
icon_file=os.path.join('Dependencies', 'wInstaller.ico')
thread=m... | P3nguin-M/WidgetAssist_GoToSearch | WidgetAssist_GoToSearch.py | WidgetAssist_GoToSearch.py | py | 7,251 | python | en | code | 0 | github-code | 90 |
22309490617 | from urllib import error, parse, request
from configparser import ConfigParser
from pprint import pp
import argparse
import style
import json
import sys
# A linha de código abaixo fará todas as chamadas de API constantemente
URL = "http://api.openweathermap.org/data/2.5/weather"
"""
Semelhante aos códigos de respos... | CarlosViniMSouza/Weather-CLI-App | main.py | main.py | py | 5,216 | python | pt | code | 0 | github-code | 90 |
10605529190 | import requests
import json
import pandas as pd
from abc import ABC, abstractmethod
import quandl
import os
from dotenv import load_dotenv
class PricesFetcher(ABC):
"""
Price fetcher abstract class
"""
@abstractmethod
def get_prices(self, symbol: str) -> pd.DataFrame:
pass
class QuandlPr... | PRJM1999/Airline-Stocks | server/api/data_retrieval.py | data_retrieval.py | py | 2,120 | python | en | code | 0 | github-code | 90 |
72292578218 | """
Van Eck's sequence
times :
python3.9: 8.9s
pypy3 : 0.7s
"""
startseq = [9,19,1,6,0,5,4]
# iterations = 2020
iterations = 30_000_000
# array of last positions
pos = [0] * iterations
for idx, v in enumerate(startseq[:-1], start=1):
pos[v] = idx
last = startseq[-1]
for i in range(len(startseq), iterations... | ldgeo/adventofcode | 2020/day15.py | day15.py | py | 421 | python | en | code | 1 | github-code | 90 |
12356466256 | import argparse
import os
from sklearn.metrics import accuracy_score, confusion_matrix
import pandas as pd
from tqdm import tqdm
from config.conf import CONFIG
import numpy as np
import json
from rouge import Rouge
from nltk import PorterStemmer
import argparse
stemmer = PorterStemmer()
baselines = ["single", "ppl", ... | THU-KEG/ChatLog | data/evaluation.py | evaluation.py | py | 10,650 | python | en | code | 90 | github-code | 90 |
13221336381 | from django.db import models
from django.contrib.auth.models import AbstractUser
class User(AbstractUser):
name = models.CharField(max_length=255)
class Gender(models.Model):
gender = models.CharField(max_length=255)
def __str__(self):
return self.gender
class Subject(models.Model):
name ... | oktamovabdulaziz/studys | main/models.py | models.py | py | 2,563 | python | en | code | 1 | github-code | 90 |
20574749891 | import cv2
import numpy as np
import time
import PoseModule as pm
cap = cv2.VideoCapture("AITrainer/zoom_0.mp4")#"AiTrainer/curls.mp4"
detector = pm.poseDetector()
count = 0
dir = 0
pTime = 0
while True:
success, img = cap.read()
img = cv2.resize(img, (1280, 720))
img = detector.findPose(img, False)
... | Ramasubramanya-MS/Fall-Accident-Detection-Using-CNN-CV | CV - Fall Detection - PoseModule/AITrainer.py | AITrainer.py | py | 1,721 | python | en | code | 6 | github-code | 90 |
30947215038 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 24 17:17:25 2018
@author: user
"""
test_string=input("Enter string:")
l=[]
l=test_string.split()
wordfreq=[l.count(p) for p in l]
print(dict(zip(l,wordfreq))) | ranjuinrush/excercise | ex4/untitled8.py | untitled8.py | py | 218 | python | en | code | 0 | github-code | 90 |
5064454679 |
import yaml, os.path
from core.config.fuzzer import FuzzerConfig
from core.config.jsanlyzer import JsAnalyzerConfig
from core.scanner.excluder import Excluder
from core.jsanalyzer.anlysis import ExtractorsLoader
from core.logger import Level
from core.utils import *
from core.config.builder import ConfigBuilder
from c... | abdallah-elsharif/WRock | ui/cli/builder.py | builder.py | py | 9,934 | python | en | code | 26 | github-code | 90 |
24259597894 | import telebot
import random
from telebot import types
# Загружаем список поговорок
file = open('facts.txt', 'r', encoding='UTF-8')
facts = file.read().split('\n')
file.close()
# Создаем бота
bot = telebot.TeleBot('5681197522:AAG18F0ArwMg2oIKjJB2gm0EyVHlrwhRXJQ')
# Команда start
@bot.message_handler(comman... | ksblv/Telegram-Bot | bot.py | bot.py | py | 1,493 | python | ru | code | 0 | github-code | 90 |
19737013946 | from selenium import webdriver
from selenium.webdriver import ActionChains
import time
#FILEDIR = "C:/Users/inasahu/PycharmProjects/SeleniumPython/"
FILEDIR = "C:/Users/Anurag/PycharmProjects/Python-Selenium/"
driver = webdriver.Chrome(executable_path=FILEDIR + "Drivers/chromedriver.exe")
# implicit wait
driver.impl... | 2310anuragsahu/Python-Selenium | File Upload.py | File Upload.py | py | 624 | python | en | code | 1 | github-code | 90 |
18506637619 | N = int(input())
found = False
for x in range(0, 25+1):
for y in range(0, 14+1):
if 4 * x + 7 * y == N:
found = True
if found:
print("Yes")
else:
print("No")
| Aasthaengg/IBMdataset | Python_codes/p03285/s201648764.py | s201648764.py | py | 191 | python | en | code | 0 | github-code | 90 |
20389460079 | from tg.projects.create_sagemaker_routine import SagemakerRoutine
from tg.projects.alternative.alternative_task import AlternativeTrainingTask
from tg.common.delivery.sagemaker import Autonamer, download_and_open_sagemaker_result
from tg.common.ml.batched_training import context as btc
def debug_run(in_docker = False)... | okulovsky/grammar_ru | tg/projects/alternative/run_training.py | run_training.py | py | 2,005 | python | en | code | 11 | github-code | 90 |
28518139587 | from selenium import webdriver
import time
import re
from selenium.webdriver.common.by import By
import pandas as pd
import csv
from selenium import webdriver
from pandas import DataFrame
from selenium.webdriver.common.keys import Keys
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.com... | vantugithub/crawl_cmt_fb | crawl_data_fb_photos.py | crawl_data_fb_photos.py | py | 5,555 | python | en | code | 0 | github-code | 90 |
40315928204 | '''
Input: a List of integers
Returns: a List of integers
'''
def moving_zeroes(arr):
# sort array
# loop through array swapping elements from current position to last
# if the current position value is 0
# append element to arr and remove element
arr.sort()
for i in range(len(arr)):
if... | IanCarreras/first-pass-solution | moving_zeroes/moving_zeroes.py | moving_zeroes.py | py | 602 | python | en | code | 0 | github-code | 90 |
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