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
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74290457704 | import json
import yaml
def refs_to_dict(filename):
data = yaml.load(open(filename), Loader=yaml.CLoader)
return {elem['id']: elem['title'] for elem in data.get('references', [])}
refs = {elem['id']: elem['title'] for elem in json.load(open('wg21/data/csl.json'))}
refs.update(refs_to_dict('md/wg21_fmt.yaml'))... | brevzin/sd6 | reduce_refs.py | reduce_refs.py | py | 399 | python | en | code | 2 | github-code | 36 |
75088426664 |
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
# path('', views.TaskListView.as_view(), name='home'),
# path('add/', views.TaskCreateView.as_view(), name='add'),
path('detail/<int:pk>/', views.TaskDetailView.as_view(), name='detail'),
path('del... | alen0577/todo | todo_app/urls.py | urls.py | py | 461 | python | en | code | 0 | github-code | 36 |
32057438346 | from aiogram.types import Message, ReplyKeyboardRemove
from aiogram.dispatcher.filters.builtin import Text
from aiogram.dispatcher import FSMContext
from states.StateStart import StateStart
from loader import dp
@dp.message_handler(Text(equals="Mukammal Telegram Bot"),state=StateStart.Kurs)
async def MTBKurs(msg: M... | ozodbekernazarov6642/mohirdev.uz_bot | handlers/users/KursBackendHendler.py | KursBackendHendler.py | py | 5,008 | python | en | code | 0 | github-code | 36 |
23500397801 | """
题目内容：
请编写Python程序完成以下要求：
以每行5个的形式输出100以内的所有素数。
输入格式：
没有输入
输出格式：
在循环结构中，使用语句print("{:2}".format(num),end="")输出每一个素数，每输出5个素数后输出一个换行
输入样例：
无
输出样例：
2 3 5 7 11
13 17 19 23 29
…
"""
from math import sqrt, ceil
def check(x):
if x == 2:
return True
xx = ceil(sqrt(x))
for i in range(2, xx + 1):
if ... | gtn1024/python-course | mooc/s5-2.py | s5-2.py | py | 725 | python | zh | code | 0 | github-code | 36 |
313375115 | import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DEBUG = True
ALLOWED_HOSTS = []
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles'... | Yugank16/Demand-Driven-Marketplace-Api | demand_driven_marketplace_api/demand_driven_marketplace_api/settings.py | settings.py | py | 3,730 | python | en | code | 0 | github-code | 36 |
26195476426 | from typing import List
from tensorflow import keras
from sklearn.model_selection import train_test_split
import librosa
import numpy as np
from tqdm.notebook import tqdm
import os
import data_augmentation
import random
RATE = 8000
def load_recordings(paths=["recordings"], label_type="number", sr=RATE):
"""
... | GianCarloMilanese/dsim_project | Audio/data_preparation.py | data_preparation.py | py | 18,819 | python | en | code | 1 | github-code | 36 |
21907341977 | # funcion que levanta IndexError
def oops():
list = [1, 2]
print(list[10])
def llamada_a_oops():
try:
oops()
except IndexError: # si escribo solo except me ataja cualquier tipo de excepcion
print("Excepcion salvada")
def ejercicio5sub1():
try:
oops()
except IndexEr... | alvarezfmb/edd-untref | Guias/Practica3/excepciones.py | excepciones.py | py | 675 | python | es | code | 0 | github-code | 36 |
29852609530 | import collections
f = open("movie.txt","r")
print("Count number of movies in the file")
list_1 = []
for i in f:
list_1.append(i.split())
print(len(list_1))
f.close()
print("Add a new movie detail (War Amit 180 2019) at the end of file.")
f = open("movie.txt","a")
f.write("\nWar Amit 180 2019")
f.close()
print("... | Hardik121020/Pyhton-Code | File Handling/File3.py | File3.py | py | 882 | python | en | code | 0 | github-code | 36 |
74865037543 | #-*- coding:utf-8 -*-
import random
import pymongo
client = pymongo.MongoClient('112.74.106.159', 27017)
db = client.develop
#获取useragent池
get_info = db.userAgents.find()
USER_AGENTS = [i['userAgent'] for i in get_info]
class MyUserAgent(object):
def process_request(self, request, spider):
request.headers.setdefa... | dreamyteam/py_crawler | movie_spider/movie_spider/User_Agents.py | User_Agents.py | py | 378 | python | en | code | 0 | github-code | 36 |
16032279764 | #!/usr/bin/python3
import sys
import os
class Tool:
x = 0
def ping():
os.system('ping -c 4 kernel.org')
def uname():
os.system('uname -a')
if __name__ == "__main__":
print('p - ping, u - uname')
x = input()
if x=='p':
Tool.ping()
elif x=='u':
Tool.uname()
| repu1sion/meminfo | tool.py | tool.py | py | 280 | python | en | code | 0 | github-code | 36 |
193648592 |
from asyncio.windows_events import NULL
import pygame
class Selector:
def __init__(self,w,h,x,y):
self.width = w
self.height = h
self.x = x
self.y = y
self.isSelected = False
self.selectedColor = -1
self.selectedTube = NULL
def draw(self,surface):
coord = [(self.x,self.y), (self.x+s... | Houdeifa/Lquid-tube | Selector.py | Selector.py | py | 946 | python | en | code | 0 | github-code | 36 |
15729326581 |
from pandas import DataFrame
from utils.dataset.dataset_info import *
class ModelUtils(object):
def __init__(self):
self._is_debug = False
self._dataset_info = None
def train(self, dataset_path, model_path, model_names=None):
return None
def _to_dataframe(self, feat_names, feat_vals):
data = {... | SheepHuan/CoDL-Mace | codl-eval-tools/codl-lat-collect-and-eval/utils/model/model_utils.py | model_utils.py | py | 1,562 | python | en | code | 0 | github-code | 36 |
11893023589 | # -*- coding: utf-8 -*-
import pymysql
# by huxiajie
class MySqlPipeline(object):
def __init__(self):
self.conn = pymysql.connect(
host="localhost",
db="jroom",
user="root",
passwd="123456",
charset='utf8'
)
self.cursor = self.co... | mohxjmo/jroomCrawl | JRoom/pipelines.py | pipelines.py | py | 3,424 | python | en | code | 0 | github-code | 36 |
6642689496 | ##LC 1275. Find Winner on a Tic Tac Toe Game
#Solution
class Solution(object):
def tictactoe(self, moves):
"""
:type moves: List[List[int]]
:rtype: str
"""
plate = [[''] * 3 for i in range(3)]
plate[1][1] = 'T'
for i in range(len(moves)):
... | Caonisandaye/LeetCode | 1275.py | 1275.py | py | 1,111 | python | en | code | 1 | github-code | 36 |
74845408103 | import logging
from datetime import date
from flask.app import Flask
def get_logger(name=__name__, level=logging.INFO):
"""Returns a logger object"""
logger = logging.getLogger(name)
if not len(logger.handlers):
logger.setLevel(level)
console = logging.StreamHandler()
console.se... | carneirofc/utility-api | application/common/utils.py | utils.py | py | 1,104 | python | en | code | 0 | github-code | 36 |
14570130326 | from skimage.io import imread, imsave
from numpy import clip
img = imread('img.png')
pixels = []
for row in img:
for pixel in row:
pixels.append(pixel)
pixels.sort()
k = round(len(pixels) * 0.05)
mn, mx = pixels[k], pixels[-k]
img = img.astype('float')
img = (img - mn) / (mx - mn) * 255
img = clip(img, ... | vfolunin/stepic-image-processing-course | week2/3. Устойчивый автоконтраст черно-белого изображения.py | 3. Устойчивый автоконтраст черно-белого изображения.py | py | 382 | python | en | code | 1 | github-code | 36 |
72809322024 | from typing import TYPE_CHECKING, Any, Dict, List, Type, TypeVar, Union
import attr
from ..models.submodel_kind import SubmodelKind
from ..types import UNSET, Unset
if TYPE_CHECKING:
from ..models.administrative_information import AdministrativeInformation
from ..models.embedded_data_specification import Emb... | sdm4fzi/aas2openapi | ba-syx-submodel-repository-client/ba_syx_submodel_repository_client/models/submodel.py | submodel.py | py | 11,684 | python | en | code | 7 | github-code | 36 |
20003378974 | import os
import re
import requests
import logging
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
# Enable logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=logging.INFO)
logger = logging.getLogger(__name__)
# Declaramos a... | matiasnoriega/bot-telegram-analisis | bot.py | bot.py | py | 5,873 | python | es | code | 0 | github-code | 36 |
71846051304 | # -*- coding: utf-8 -*-
'''
这段代码将做出函数f(x)=e^2-2在[0,2]之间的图像，并描画出在该曲线下面的近似矩形
'''
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import math
num = 4
x = np.linspace(0,2,1000)
y = np.power(np.e,x)-2
fig = plt.figure(figsize=(8,8))
x1 = np.linspace(0,2,num+1)
width=2.0/num
ax1 = fig... | coolban/somemath | plotf3.py | plotf3.py | py | 584 | python | en | code | 0 | github-code | 36 |
30061835039 | def solve(n, m, prices):
prices.sort()
prev = prices[0]
count = 0
for i in range(1, n):
if prev + prices[i] <= m:
count += 1
prev = prices[i]
else:
break
return count + 1
n, m = list(map(int, input().strip().split(' ')))
prices = list(map(int, i... | KatarinaLouise/CSALGCM | Hierophant/prize.py | prize.py | py | 376 | python | en | code | 0 | github-code | 36 |
2082273383 | __all__ = ["familymemberhistory_mapping", "familymemberhistory_references"]
familymemberhistory_mapping = {
"code": "token",
"date": "date",
"identifier": "token",
"patient": "reference",
"instantiates-canonical": "reference",
"instantiates-uri": "uri",
"relationship": "token",
"sex": "... | teffalump/fhir_parse_qs | fhir_parse_qs/mappings/familymemberhistory.py | familymemberhistory.py | py | 589 | python | en | code | 2 | github-code | 36 |
41239382060 | # coding:utf-8
import sys
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
sys.path.append('../synthesize_blur')
import viz_flow as viz
data_dir = "./"
old_path = data_dir + "1.jpeg"
new_path = data_dir + "2.jpeg"
gap = [0, 100]
feature_params = di... | MingmChen/burst-deghost-deblur | code/utils/cal_lk.py | cal_lk.py | py | 4,325 | python | en | code | 0 | github-code | 36 |
8087367519 | """
This file pretends to check the tables % available after the filter
"""
import pandas as pd
import os
def common_member(a, b):
a_set = set(a)
b_set = set(b)
if (a_set & b_set):
return a_set & b_set
else:
print("No common elements")
# Read the queries.txt tables
tables_q = pd.... | aberenguerpas/inferia | extra/coverage.py | coverage.py | py | 1,077 | python | en | code | 0 | github-code | 36 |
71899575783 | import csv
import random
import numpy as np
from sklearn import preprocessing
import matplotlib.pyplot as plt
from keras.models import Sequential, Model
from keras.layers import Dense, LSTM, TimeDistributed, Conv2D, Flatten
from keras.optimizers import Adam
import utm
max_latitude = 330414.05273900216
max_longitude = ... | haoranpb/datamining | hw3/code/e.py | e.py | py | 12,319 | python | en | code | 0 | github-code | 36 |
31428987091 | # 2021.10.17
# 2966
# 찍기
a = ['A', 'B', 'C']
b = ['B', 'A', 'B', 'C']
c = ['C', 'C', 'A', 'A', 'B', 'B']
names = ['Adrian', 'Bruno', 'Goran']
results = [0, 0, 0]
n = int(input())
ans = input()
for i in range(n):
if a[i % 3] == ans[i]:
results[0] += 1
if b[i % 4] == ans[i]:
results[1] += 1
... | Minkeyyyy/OJ | BaekJoon/All/2966.py | 2966.py | py | 474 | python | en | code | 0 | github-code | 36 |
15869088221 |
def convert(str1, str2):
list1 = []
list2 = []
for i in range(0,len(str1)-1):
list1.append(str1[i:i+2])
for i in range(0,len(str2)-1):
list2.append(str2[i:i+2])
list1 = [i.lower() for i in list1 if i.isalpha()]
list2 = [i.lower() for i in list2 if i.isalpha()]
print(list1, ... | HYEONAH-SONG/Algorithms | 프로그래머스/Level2/문제 해결 능력/뉴스 클러스터링.py | 뉴스 클러스터링.py | py | 1,941 | python | en | code | 0 | github-code | 36 |
23788529078 | #Conversion function
def convert_bits(value, from_unit):
#Dictionary to hold the conversion factors
conversion_factors = {
"bit": {
"kbit": 1/1000,
"kibibit": 1/1024,
"kByte": 1/8000,
"Kibibyte": 1/8192,
"Mebibyte": 1/8589934592,
"M... | HabibUrRehmanBhattii/Casio-fx-CG50-python | Network/bit_convert_kibit.py | bit_convert_kibit.py | py | 1,013 | python | en | code | 0 | github-code | 36 |
34848620005 | import os
import sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
from definition import Node
def create_linked_list(array):
"""Creates a linked list from a list of items"""
head = Node(value=array[0])
current = head
if len(array) > 1:
for val in array[1:]:
next_i... | stonecharioteer/blog | source/code/dsa/linked_lists/python/creation_iterative.py | creation_iterative.py | py | 427 | python | en | code | 5 | github-code | 36 |
14345450698 | import random
def mod(a, m):
"""
Взятие числа по модулю с бинарным поиском
Бинарным поиском находится наибольшее частное от деления a / m,
при котором (a - q * m) < m
Тогда a - q * m = r (остаток)
:param a: Число
:type a: int
:param m: Модуль
:type m: int
:return: Число по моду... | artymmmm/RSA_secret_sharing | math_functions.py | math_functions.py | py | 5,765 | python | ru | code | 0 | github-code | 36 |
20645490044 | from my_socket import *
# from myMath import *
import inspect
import myMath
from myMath import *
from my_inspect import *
import logging
def send_functions():
global func_list
global server
func_info = []
n = 0
for f in func_list:
func_info.append(';'.join([f['name'], f['info'], str(n)]))
... | HarryFengYX/Py2GUI | free_op_interface.py | free_op_interface.py | py | 7,358 | python | en | code | 0 | github-code | 36 |
5535184380 | import sys
import os
import json
import threading
BASE_DIR = os.getcwd()+"/.."
EOF = ""
def setPlatformCfg(env):
cfgPath = BASE_DIR+"/stays-platform/config.json"
cfg = ""
with open(cfgPath) as f:
cfg = json.load(f)
with open(cfgPath, "w") as f:
cfg['env'] = env
txt = json.dump... | nickrunner/stays | scripts/deploy.py | deploy.py | py | 1,806 | python | en | code | 0 | github-code | 36 |
11226132142 | from datetime import timedelta
from django.utils import timezone
from celery import shared_task
from django.contrib.auth.models import User
from .models import ReadingStatistics, ReadingSession
@shared_task
def update_reading_statistics():
# Завдання Celery для оновлення статистики читання користувачів
prin... | RomanovDanii1/Books | api/tasks.py | tasks.py | py | 2,075 | python | uk | code | 0 | github-code | 36 |
4759735391 | import streamlit as st
from PIL import Image
from detection import process
import numpy as np
from torchdetect import process
import os
st.set_page_config(
page_title="Image Detection",
layout="wide",
initial_sidebar_state="expanded"
)
st.title('Tuberculosis Detection from sputum sample')
st.markdown("## ... | irfanheru66/Tuberculosis-Detector | pages/page_2.py | page_2.py | py | 1,882 | python | en | code | 0 | github-code | 36 |
16961930308 | import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
# input parameter
den = 8880.0
cp = 386.0
cond = 398.0
temp_bc = 100.0
temp_init = 0.0
lx = 1.0
nx = 101
tend = 20000.0
dt = 0.1
tout = 100.0
alpha = cond / (den * cp)
dx = lx / (nx - 1)
nt = int(tend / dt)
nout = int(tout / d... | cattech-lab/lecture3_fdm_thermal | thermal_1d_ftcs.py | thermal_1d_ftcs.py | py | 1,474 | python | en | code | 0 | github-code | 36 |
22565700808 | from abc import ABC, abstractmethod
from dataclasses import dataclass
from functools import partial
from typing import Any, Dict, List, Optional, Tuple
import torch
from shap_e.models.nn.utils import sample_pmf
from shap_e.models.volume import Volume, VolumeRange
from shap_e.util.collections import AttrDict
from .mo... | openai/shap-e | shap_e/models/nerf/ray.py | ray.py | py | 19,663 | python | en | code | 10,619 | github-code | 36 |
6209532245 | # -*- coding: utf-8 -*-
"""
Created on Tue Jan 31 12:39:09 2023
@author: Mouhamad Ali Elamine
"""
import argparse
import json
import re
parser = argparse.ArgumentParser(description='A1T1')
parser.add_argument('--input_file', type=str, default='./review.json', help='the input file ')
parser.add_argument(... | elami018/CSCI_5523 | HW1/task1.py | task1.py | py | 2,746 | python | en | code | 0 | github-code | 36 |
19724867032 | """
***************************
--------EveIDE_LIGHT--------
Author: Adancurusul
Date: 2021-07-17 18:07:02
LastEditors: Adancurusul
LastEditTime: 2021-07-31 14:10:21
Github: https://github.com/Adancurusul
Email: adancurusul@gmail.com
***************************
"""
import re
impo... | Adancurusul/EveIDE_LIGHT | source/eve_module/GetSimDumpFile.py | GetSimDumpFile.py | py | 1,200 | python | en | code | 50 | github-code | 36 |
16523777795 | from django.core import urlresolvers
from django.core.mail import send_mail
from django.conf import settings
from django.contrib.comments.moderation import CommentModerator, moderator
from django.contrib.sites.models import Site
from akismet import Akismet
AKISMET_KEY = getattr(settings, "AKISMET_KEY", None)
class... | sunlightlabs/reportingsite | reporting/comments.py | comments.py | py | 1,809 | python | en | code | 0 | github-code | 36 |
31058313098 | from operator import itemgetter
import networkx as nx
import prefect
from sklearn.metrics import roc_auc_score
logger = prefect.context.get("logger")
def compute_centrality_metrics(G):
closeness_centrality = nx.centrality.closeness_centrality(G)
degree_centrality = nx.centrality.degree_centrality(G)
bet... | ryankarlos/networks_algos | networks/models/metrics.py | metrics.py | py | 1,184 | python | en | code | 1 | github-code | 36 |
4248710550 | # Given an m x n integer matrix matrix, if an element is 0, set its entire row and column to 0's, and return the matrix.
# Input: matrix = [[1,1,1],[1,0,1],[1,1,1]]
# Output: [[1,0,1],[0,0,0],[1,0,1]]
def setZeroes(matrix):
x, y = [], []
for i in range(len(matrix)):
for j in range(len(matrix[i])):
... | keabraekman/leetcode | set-matrix-zeroes.py | set-matrix-zeroes.py | py | 1,243 | python | en | code | 0 | github-code | 36 |
49873569 | # demonstration of the YCbCr encoder/decoder functionality
import numpy as np
import cv2
#import matplotlib.pyplot as plt
#import matplotlib.image as mpimg
K_VALS = [.299, .587, .114] # ITU-R BT.601
#K_VALS = [.2627, .678, .0593] # ITU-R BT.2020
R = 0
G = 1
B = 2
def color_matrix(values):
"""
Generates a color m... | octinhuh/hdvid21 | tests/ycbcr.py | ycbcr.py | py | 3,034 | python | en | code | 0 | github-code | 36 |
35899003132 | import discord
import asyncio
from dotenv import load_dotenv
from collections import Counter
from os import getenv
intents = discord.Intents.default()
intents.members = True
intents.presences = True
load_dotenv()
TOKEN = getenv('DISCORD_TOKEN')
class MyClient(discord.Client):
def __init__(self, *args, **kwargs... | mcl650s/DynamicChannelNameBot | DynamicNameBot.py | DynamicNameBot.py | py | 2,688 | python | en | code | 0 | github-code | 36 |
43298961794 |
from rpython.rlib import jit_hooks
from rpython.rlib.jit import JitHookInterface, Counters
from pypy.interpreter.error import OperationError
from pypy.module.pypyjit.interp_resop import (Cache, wrap_greenkey,
WrappedOp, W_JitLoopInfo, wrap_oplist)
class PyPyJitIface(JitHookInterface):
def are_hooks_enabled(s... | mozillazg/pypy | pypy/module/pypyjit/hooks.py | hooks.py | py | 3,264 | python | en | code | 430 | github-code | 36 |
3163314445 | #!/usr/bin/python
import sys, glob
from sys import platform
if platform == "linux" or platform == "linux2":
sys.path.insert(0, glob.glob('/home/yaoliu/src_code/local/lib/lib/python2.7/site-packages/')[0])
from thrift.transport import TSocket
from thrift.transport import TTransport
from thrift.protocol import TBin... | sonaliw-pointers/distributed-systems | DistributedStore/initReplica.py | initReplica.py | py | 10,236 | python | en | code | 0 | github-code | 36 |
9134097621 | #!/usr/bin/python
import argparse
def find_max_profit(prices):
max_profit = float("-inf") # start with neg. infinity (account for least worse loss)
for p in range(1,len(prices)):
profit = prices[p] - min(prices[:p])
if profit > max_profit:
max_profit = profit
return max_profit
... | Tclack88/Lambda | CS/CS-2-Algorithms/2-algorithms/stock_prices/stock_prices.py | stock_prices.py | py | 772 | python | en | code | 0 | github-code | 36 |
37429707287 | import rrdtool
def graficar(rrdpath,imgpath):
print("\n *****************************************")
print(" * = Generación de Gráficas = *")
print(" *****************************************\n")
ultima_lectura = int(rrdtool.last(rrdpath + "CpuLoad1.rrd"))
tiempo_final = ultima_lectura
... | ScarlettRaln/Problema2 | graficar.py | graficar.py | py | 4,729 | python | en | code | 0 | github-code | 36 |
30112331556 | import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
# constants
TRAIN_DATA_FILE_PATH = "Lyrics-Genre-Train.csv"
TEST_DATA_FILE_PATH = "Lyrics-Genre-Test-GroundTruth.csv"
LYRICS_COLUMN = "Lyrics"
GENRE_COLUMN = "Genre"
# useful variables
output_mappings = {}
# Pentru ca... | daneel95/Master_Homework | FirstYear/Regasirea Informatiei/Homework2/main.py | main.py | py | 1,806 | python | en | code | 0 | github-code | 36 |
9052754713 | """Support for the Mastertherm Sensors."""
from decimal import Decimal
from datetime import date, datetime
import logging
from homeassistant.core import HomeAssistant
from homeassistant.components.sensor import SensorEntity, SensorDeviceClass
from homeassistant.config_entries import ConfigEntry
from homeassistant.cons... | sHedC/homeassistant-mastertherm | custom_components/mastertherm/sensor.py | sensor.py | py | 2,980 | python | en | code | 3 | github-code | 36 |
35095640017 | from django.shortcuts import render
from .models import cities, city
from django.http import Http404
from datetime import datetime
import pytz
import folium
now = datetime.now(pytz.timezone('Europe/Warsaw')).strftime("%H")
def weather_view(request, *args, **kwargs):
cities_ = cities.objects.all()
city_ = city... | Kapiura/weather.is | src/cities/views.py | views.py | py | 2,002 | python | en | code | 0 | github-code | 36 |
29111113556 | # 프랙탈 [fractal] : 일부 작은 조각이 전체와 비슷한 형태
# 나무줄기 , 번개 , 나뭇잎
def drawCircle( x , y , r ) :
global count
count += 1 # 카운트 1증가
# 원형 그리기 [ create_oval : 원형 그리기 함수 ]
canvas.create_oval( x - r, y - r, x + r, y + r, width=5, outline='black') # 원형
# 왼쪽끝x , 위쪽끝y 오른쪽x , 아래끝y
# canvas.c... | itdanja/week_python_202206 | 5일차/예제4_재귀활용.py | 예제4_재귀활용.py | py | 1,210 | python | ko | code | 0 | github-code | 36 |
3458574227 |
#题解见notion
class Solution:
def minDistance(self, word1: str, word2: str) -> int:
if not word1:
return len(word2)
if not word2:
return len(word1)
m,n = len(word1), len(word2)
f = [[0]*(n+1) for i in range(m+1) ]
for i in range(m+1): f[i][0] = i
... | pi408637535/Algorithm | com/study/algorithm/daily/72. Edit Distance.py | 72. Edit Distance.py | py | 777 | python | en | code | 1 | github-code | 36 |
71237520105 | class BinarySearchTreeNode:
left = None
right = None
def __init__(self, value):
self.value = value
def __repr__(self):
return f"{self.__class__.__name__}({self.value})"
def __str__(self):
return str(self.value)
class BinarySearchTree:
def __init__(self, root):
... | garibaldiviolin/python-trees | src/trees/binary_search_trees.py | binary_search_trees.py | py | 4,680 | python | en | code | 0 | github-code | 36 |
11936612348 | from typing import Optional, TYPE_CHECKING
from django.db import models
from django.contrib.auth.models import Group, User
from rest_framework import serializers
from rest_framework.exceptions import NotFound
from processes.exception import UnprocessableEntity
from .uuid_model import UuidModel
if TYPE_CHECKING:
... | CloudReactor/task_manager | server/processes/models/named_with_uuid_model.py | named_with_uuid_model.py | py | 2,749 | python | en | code | 0 | github-code | 36 |
22292402033 | # 동빈나 그리디 모험가 길드
# 공포도가 x 인 모험가는 x명 이상의 그룹에 들어가야한다. -> 최대 몇 그룹
# 1. 정렬 후 끊기
# 입력 예제
# 5
# 2 3 2 2 1 답 2
n=int(input())
arr=list(map(int,input().split()))
arr.sort()
team=0
count=0
for i in arr:
count+=1
if count>=i:
team+=1
count=0
print(team) | 98hyun/algorithm | greedy/b_14.py | b_14.py | py | 367 | python | ko | code | 0 | github-code | 36 |
19169680561 | from setuptools import setup
with open('requirements.txt') as fp:
install_requires = fp.read()
setup(
name='mapped_config',
packages=['mapped_config'],
version='2.36',
description='Mapped config loader for python for secure, easy and modular configuration management',
author='Alvaro Garcia Gom... | maxpowel/mapped_config | setup.py | setup.py | py | 738 | python | en | code | 3 | github-code | 36 |
20474535065 | import torch
import torch.nn as nn
import numpy as np
from dataset_windows import SatelliteSet, flatten_batch_data, standardize_data
from torchvision.models.segmentation.deeplabv3 import DeepLabHead
from torchvision import models
import torch.nn.functional as F
from tqdm import tqdm
import h5py
from PIL import Image
i... | jingyan-li/Vege_Height_Regression | feature_extraction/DeepLabv3_ResNet101.py | DeepLabv3_ResNet101.py | py | 8,660 | python | en | code | 0 | github-code | 36 |
74394357543 | import numpy as np
from DigitalFilter import Filter
import cv2
from Utilities import show_image
class Sharpening(Filter):
__kernel = None
def __init__(self):
size = 3
self.set_height(size)
self.set_width(size)
self.make_kernel()
def make_kernel(self):
self.__kernel... | Izio91/DigitalFilters | SharpeningFilter.py | SharpeningFilter.py | py | 2,905 | python | en | code | 0 | github-code | 36 |
5223935084 | from env import *
# import os
import re
import sys
import argparse
from os.path import join
from tools import *
import logging
from core.api import set_api_logger
from core.chat import ChatBot, Turn, set_chat_logger
import gradio as gr
from prompts.dialogue import *
args: argparse.Namespace = None
bot: ChatBot = None
... | wbbeyourself/SCM4LLMs | dialogue_test.py | dialogue_test.py | py | 11,654 | python | en | code | 20 | github-code | 36 |
26729745489 | """ with open("Day25_csv_pandas/weather_data.csv") as data_file:
data = data_file.readlines() """
""" import csv
with open('Day25_csv_pandas/weather_data.csv') as data_file:
data = csv.reader(data_file)
temperatures = []
for row in data:
if row[1] != "temp":
temperatures.append(int... | MarchisLost/100DaysOfPython | Day25_Csv_pandas/weather.py | weather.py | py | 1,010 | python | en | code | 0 | github-code | 36 |
7775088104 | from django.shortcuts import render
from operator import attrgetter
# Para a paginação
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage, InvalidPage
# Importamos a função criada anteriormente
from post.views import get_post_queryset
POSTS_PER_PAGE = 2 # Pode ser qualquer valor acima de 0, co... | imklesley/SimpleBlog_Site_API | personal/views.py | views.py | py | 1,994 | python | pt | code | 0 | github-code | 36 |
14231636802 | #!/usr/bin/env python3
import sys
import mrcfile
args = sys.argv
from IsoNet.util.filter import maxmask,stdmask
import numpy as np
#import cupy as cp
import os
def make_mask_dir(tomo_dir,mask_dir,side = 8, density_percentage=30,std_percentage=1,surface=None):
tomo_list = ["{}/{}".format(tomo_dir,f) for f in os.li... | IsoNet-cryoET/IsoNet | bin/make_mask.py | make_mask.py | py | 3,191 | python | en | code | 49 | github-code | 36 |
13292259369 | from statistics import mode
from sklearn.feature_extraction import image
import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
import os
import random
import pandas as pd
from utils.Metric import compute_meandice_multilabel
from utils.Visualize import plot_whole_imgs
from utils.Utils im... | SWKoreaBME/brats2020 | UNet_transformer/remove_input.py | remove_input.py | py | 6,135 | python | en | code | 1 | github-code | 36 |
33408291882 | from selenium import webdriver
import time
from selenium.webdriver.common.by import By
class clickSendkey():
def test(self):
driver = webdriver.Firefox(executable_path='/Users/Jatin Singh/Downloads/geckodriver')
driver.get('https://google.com/')
driver.maximize_window()
texttype =... | JatinSsingh/SeleniumPython | pythonProject/webelement.py | webelement.py | py | 648 | python | en | code | 0 | github-code | 36 |
15593721054 | import copy
import math
import numpy as np
import random as rd
from typing import List
class Layer:
def __init__(self, size: int, next_size: int):
self.size = size
self.neurons = np.zeros((size,))
self.biases = np.zeros((size,))
self.weights = np.zeros((size, next_size))
class Po... | vbalabin/mp_practical | pscripts/neural.py | neural.py | py | 3,323 | python | en | code | 0 | github-code | 36 |
39445267791 | # -*- coding: utf-8 -*-
#
"""
Utility functions related to input/output.
"""
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals
from io import open # pylint: disable=redefined-builtin
import os
#import logging
import imp... | VegB/Text_Infilling | texar/utils/utils_io.py | utils_io.py | py | 6,380 | python | en | code | 26 | github-code | 36 |
15795610866 | import tensorflow as tf
def single_accuracy(y_true: dict, y_pred: list) -> dict:
"""Compute Team, Position and Mask metrics for a batch of single sequence:
- binary accuracy for Team prediction
- categorical accuracy for Position classification
- topk accuracy 3 for Position classification
... | samchaineau/StratFormer | code/pretraining/models/metrics.py | metrics.py | py | 3,081 | python | en | code | 7 | github-code | 36 |
16643813667 | from Imports import *
from Exercice2 import code_communs
# 1. Fixer comme indice la variable de code commune dans les deux bases. Regarder le
# changement que cela induit sur le display du DataFrame
df_code_communs = df[df["INSEE commune"].isin(code_communs)]
df_city_code_communs = df_city[df_city["CODGEO"].isin(code_... | Steve-t93/TP_Python_Pandas_SQL | TP_Pratique_Pandas/Exercice3.py | Exercice3.py | py | 1,739 | python | fr | code | 0 | github-code | 36 |
14359223498 | from datasets import load_conll2003_en
from conll_dictorizer import CoNLLDictorizer
from dictionizer import dictionize
from sklearn.feature_extraction import DictVectorizer
from keras.preprocessing.sequence import pad_sequences
from keras import models, layers
from keras.utils import to_categorical
from keras.layers i... | niklashedstrom/EDAN95 | lab4/index_builder.py | index_builder.py | py | 5,607 | python | en | code | 0 | github-code | 36 |
32476914350 | import sys
import csv
import sqlite3
# creates db if one does not exist
# conn = sqlite3.connect('some.db')
class CSVTool(object):
def __init__(self, path=None):
self.path = None
self.csv_name = None
self.db = None
def dump_to_db(self, csv_path):
# store connection... | cmhedrick/GalenDBTool | csvToDB.py | csvToDB.py | py | 1,047 | python | en | code | 0 | github-code | 36 |
23877871959 | import math
# Write a program that calculates and prints the value according to the given formula:
# Q = Square root of [(2 * C * D)/H]
# Following are the fixed values of C and H:
# C is 50. H is 30.
# D is the variable whose values should be input to your program in a comma-separated sequence.
q = []
C = 50
H = 30
D... | olayemii/python-beginner-solutions | Q6.py | Q6.py | py | 488 | python | en | code | 0 | github-code | 36 |
75171241702 | from setuptools import setup, find_packages
import sys, os
here = os.path.abspath(os.path.dirname(__file__))
README = open(os.path.join(here, 'README.rst')).read()
NEWS = open(os.path.join(here, 'NEWS.txt')).read()
version = '0.1'
install_requires = [
# List your project dependencies here.
# For more detail... | yufongpeng/starplot | setup.py | setup.py | py | 1,336 | python | en | code | 0 | github-code | 36 |
23836096348 | # 1. Реализовать скрипт, в котором должна быть предусмотрена функция расчёта заработной платы сотрудника.
# Используйте в нём формулу: (выработка в часах*ставка в час) + премия. Во время выполнения расчёта для конкретных
# значений необходимо запускать скрипт с параметрами.
from sys import argv
script_name, work_... | AndrewSus/Python_Study-I | lesson-04.py | lesson-04.py | py | 7,609 | python | ru | code | 0 | github-code | 36 |
42774121207 | from asyncio.locks import Lock
from typing import Union
import markovify
import asyncio
class InitializationError(Exception):
"""Error thrown when the model is not initialized"""
pass
class MarkovHandler:
"""
Manages the state of the internal markov model
"""
def __init__(self):
se... | anmolw/markov-generator-service | markovhandler.py | markovhandler.py | py | 1,669 | python | en | code | 0 | github-code | 36 |
8755767955 | from odoo import models, api
from odoo.osv.orm import browse_record
class ReportDynamicLabel(models.AbstractModel):
_name = 'report.of_label.report_label'
@api.multi
def get_data(self, row, columns, ids, model, number_of_copy):
active_model_obj = self.env[model]
label_print_obj = self.env... | odof/openfire | of_label/report/dynamic_label.py | dynamic_label.py | py | 6,564 | python | en | code | 3 | github-code | 36 |
17793979591 | a = list(map(int, input().split()))
i5 = 0
i7 = 0
for i in a:
if i == 5:
i5 += 1
if i == 7:
i7 += 1
if i5==2 and i7==1:
print('YES')
else:
print('NO')
| fastso/learning-python | atcoder/contest/solved/abc042_a.py | abc042_a.py | py | 185 | python | en | code | 0 | github-code | 36 |
71575293223 | #-*- encoding:utf-8 -*-
#written by: Jiao Zhongxiao
import os
import shutil
import xml.etree.ElementTree as ET
import io
import binascii
import sys
from threading import Thread
from ftplib import FTP
#import subprocess
os.chdir( os.path.split( sys.argv[0] )[0] )
#config------------------------------------------------... | edwardandy/kylinProject | KylinGame/py/towerPublishTool.py | towerPublishTool.py | py | 8,123 | python | en | code | 0 | github-code | 36 |
74612417065 | import os
def getAllDirDeep(path):#深度遍历
stack=[] #建立一个栈
stack.append(path) #将第一个目录进行压栈
#处理栈，当栈为空的时候结束循环
while len(stack) != 0:
# 从栈里取出数据
dirpath = stack.pop()
# 目录下所有文件
fileList=os.listdir(dirpath)
# 处理一个文件，如果是普通文件则打印出来，如果是目录文件就将该目录的地址压栈
for fileN... | hanyb-sudo/hanyb | 基本语法/目录遍历/栈模拟递归遍历目录(深度遍历).py | 栈模拟递归遍历目录(深度遍历).py | py | 957 | python | zh | code | 0 | github-code | 36 |
29317996143 | from os.path import isfile, join, isdir
import numpy as np
import matplotlib.pyplot as plt
##input: heatmap
##output:
##heatmap+boundingbox->scored box->threshold&IOU/I->(ifframe,tp,#detected,#proposal,num_ca)
gaze_dir_prefix = '/home/yixin/Dropbox/JointAttention/tested_face_direction/test/'
prop_path = '/media/yixin... | LifengFan/Shared-Attention | src/roc_metric.py | roc_metric.py | py | 5,550 | python | en | code | 4 | github-code | 36 |
23426672809 | def power(base,exp):
if(exp==1):
return(base)
if(exp==0):
return(1)
if(exp>1):
return(base*power(base,exp-1))
fivePowerThree = power(5,3)
print(fivePowerThree)
#---------------------------------------------
myList = [-4, -6, -5, -1, 2, 3, 7, 9, 88]
def positive(lst):
... | NaifAlqahtani/100_DaysOfCode | 100 days of python/Day39-40.py | Day39-40.py | py | 418 | python | en | code | 0 | github-code | 36 |
42298647568 |
class Computer:
def __init__(self):#hm kisi b method ko object k sath call kre skrty han
self.name="Ibrar"
self.age=23
def update(self):
self.age=993
def compare(self,c2): #yahan pe jo self ha wo c1 a rha ha
if self.age==c2.age:
return True
else... | IbrarShakoor/Python-codes | Constructor and self.py | Constructor and self.py | py | 721 | python | en | code | 1 | github-code | 36 |
21048917252 | from app import mysql
class PersonasDB():
def __init__(self):
car = True
def buscaPersona(self,cc):
try:
self.lisper =[]
_conn = mysql.connect()
_cur = _conn.cursor()
_cur.execute('''SELECT ccPersona,nombres,apellidos,direccion,cel,barrio.no... | Havir01/flaskapi | app/modelos/dbpersonas.py | dbpersonas.py | py | 2,966 | python | es | code | 0 | github-code | 36 |
1794733837 | from flask import Flask, request
from flask import jsonify
app = Flask(__name__)
@app.route('/', methods=['GET','POST'])
def hello():
tipo_de_peticion = request.method
json_de_entrada = request.get_json()
print(tipo_de_peticion)
print(json_de_entrada)
json_de_respuesta = {
"text": "Hola Mu... | JoseAngelChepo/curso-chatbot | app.py | app.py | py | 932 | python | es | code | 0 | github-code | 36 |
31804320199 | # /usr/bin/python3.6
# -*- coding:utf-8 -*-
import collections
class TreeNode(object):
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution(object):
def isCompleteTree(self, root):
"""
:type root: TreeNode
:rtype: bool
... | bobcaoge/my-code | python/leetcode/958_Check_Completeness_of_a_Binary_Tree.py | 958_Check_Completeness_of_a_Binary_Tree.py | py | 852 | python | en | code | 0 | github-code | 36 |
70008668583 | #!/bin/python3
import sys
def jumpingOnClouds(c):
c.insert(n,0)
i = 0
count = 0
while i < n-1:
i += (c[i+2] == 0) + 1
count += 1
return count
if __name__ == "__main__":
n = int(input().strip())
c = list(map(int, input().strip().split(' ')))
result =... | jediofgever/HackerRank_Solutions_Python | Jumping_on_the_Clouds.py | Jumping_on_the_Clouds.py | py | 358 | python | en | code | 1 | github-code | 36 |
8738194119 | import random
import numpy as np
import pandas as pd
from tqdm import tqdm
from os import mkdir
from os.path import join, exists
from pytorch_transformers import RobertaTokenizer
max_length = 100
tokenizer = RobertaTokenizer.from_pretrained('roberta-base')
SOS_ID = tokenizer.encode('<s>')[0]
EOS_ID = tokenizer.encode(... | yehchunhung/EPIMEED | datasets/encode_os_yubo.py | encode_os_yubo.py | py | 6,874 | python | en | code | 3 | github-code | 36 |
33083409726 | # Desafios 94
pessoa = {}
lista = []
soma = 0
while True:
pessoa.clear()
pessoa['nome'] = input('Nome: ')
sexo = ' '
while sexo not in 'FM':
sexo = input('Sexo [F/M]: ').upper().strip()[0]
pessoa['sexo'] = sexo
pessoa['idade'] = int(input('Idade: '))
soma += pessoa['idade']
... | sarandrade/Python-Courses | Curso Python - Gustavo Guanabara/Mundo 3 - Estruturas Compostas/Exercícios/Exercício #094.py | Exercício #094.py | py | 1,006 | python | pt | code | 0 | github-code | 36 |
37656686792 | import sqlite3
def create_table():
conn = sqlite3.connect('avinogradov.db')
c = conn.cursor()
c.execute('CREATE TABLE IF NOT EXISTS avinogradov(nimi TEXT, vanus INTEGER)')
conn.commit()
conn.close()
def auto_lisamine():
name = input("Sisesta nimi: ")
surname = input("Sisesta... | ArtjomVinogradov/sqlite3 | sqlite3-main/sqlite3-main/sqlite-dll-win64-x64-3410200-20230508T093537Z-001/sqlite-dll-win64-x64-3410200/sqlite-tools-win32-x86-3410200/h3.py | h3.py | py | 3,324 | python | en | code | 0 | github-code | 36 |
15255951210 | from celery import Celery
import mysql.connector
import pandas as pd
from celery import shared_task
from snippets.models import SnippetHistory
from testproject.settings import DB_CONFIG
from datetime import datetime
app = Celery('tasks', broker='redis://localhost')
@app.task
def add(x, y):
return x + y
@shared_t... | crazy-djactor/amazon_for_test | snippets/tasks.py | tasks.py | py | 1,664 | python | en | code | 0 | github-code | 36 |
42493287966 | class Node:
def __init__(self,data):
self.__data=data
self.__next=None
def get_data(self):
return self.__data
def set_data(self,data):
self.__data=data
def get_next(self):
return self.__next
def set_next(self,next_node):
self.__next... | mugsss/Data-structures-with-Python | Delete_node.py | Delete_node.py | py | 3,454 | python | en | code | 0 | github-code | 36 |
73580285223 | class Employee:
def __init__(self, emp_id, name, age, salary):
self.emp_id = emp_id
self.name = name
self.age = age
self.salary = salary
def __str__(self):
return f"{self.emp_id} {self.name} {self.age} {self.salary}"
def sort_employees(employees, key):
if key == 1:... | Maulikkkk/lab_04_Monday.pdf | emplyee.py | emplyee.py | py | 1,377 | python | en | code | 0 | github-code | 36 |
28924145111 | from typing import List
class Solution:
def maxProfit(self, prices: List[int]) -> int:
profit = 0
maximum = -1e9
minimum = 1e9
for price in prices:
#Change maximum or minimum.
if price>=maximum : maximum = price
if price<=minimum : minimu... | GuSangmo/BOJ_practice | Leetcode/121.bestTimetoBuyandSellStock.py | 121.bestTimetoBuyandSellStock.py | py | 544 | python | en | code | 0 | github-code | 36 |
25469063444 | # -*- coding: utf-8 -*-
"""
Created on Thu Oct 4 18:04:51 2018
@author: 우람
"""
# Example 1: Multi-class classification
#
# Classify stocks into deciles on their returns
# Features: past 3, 6, 12 month returns
# y: class label (0, ..., 9) based on the future 1 month return.
import numpy as np
import pandas as pd
... | KWOOR/Python-Algorithm | exercise1.py | exercise1.py | py | 4,384 | python | en | code | 0 | github-code | 36 |
71088718504 | from django.urls import path
from . import views
urlpatterns = [
path('user/', views.UserAPI.as_view()),
path('login/', views.KakaoLogin.as_view()),
path('kakaopay/', views.kakaopay),
path('kakaopay/approval/', views.kakaopay_approval),
path('kakaopay/info/', views.kakaopay_info),
path('kakaopa... | epser93/Narang_Norang | backend/accounts/urls.py | urls.py | py | 413 | python | en | code | 0 | github-code | 36 |
347715655 | from scipy.sparse.linalg import eigs, eigsh
import utils.utils as utils
import sys
import numpy as np
import time
import math
from sklearn import mixture
sys.path.append("..")
from utils.laplacian import calLaplacianMatrix
from sklearn.cluster import KMeans
def run_ES_SCOREplus(W, k, c=0.1):
star... | yz24/RBF-SCORE | rbf-score/ES_SCOREplus.py | ES_SCOREplus.py | py | 1,894 | python | en | code | 0 | github-code | 36 |
40095793121 | from django.urls import path
from . import views
urlpatterns = [
path('', views.TmListView.as_view(), name='home'),
path('table/', views.TableListView.as_view(), name='table'),
path('profile/', views.EmpCreateView.as_view(), name='profile'),
path('table/employe/<int:pk>/update', views.EmpUpdView.as_vi... | kostik2295/Django_Web-site | employees/urls.py | urls.py | py | 429 | python | en | code | 0 | github-code | 36 |
13988662708 | # count-sort based soln, based on another's port seen in phorum (mine used
# regular sorts)
from math import inf
class Solution:
def relativeSortArray(self, arr1: List[int], arr2: List[int]) -> List[int]:
n = 1001
cnt1 = [0] * n
in_arr2 = [False] * n
max_x = -inf
ans = []
... | dariomx/topcoder-srm | leetcode/trd-pass/easy/relative-sort-array/relative-sort-array-cntsort.py | relative-sort-array-cntsort.py | py | 607 | python | en | code | 0 | github-code | 36 |
4827725138 | #!/usr/bin/env python3
from pynput import keyboard
from pynput.keyboard import Key, Controller
import pyperclip
import sys
f=''
usekey=''
autoenter=False
def on_press(key):
global usekey
if key == Key.esc:
f.close()
return False # stop listener
if usekey=='':
usekey=key
p... | boba2fett/ShitCollection | python/insFiles/insFilesCLI.py | insFilesCLI.py | py | 1,670 | python | en | code | 0 | github-code | 36 |
41227989911 | import numpy as np
from queue import PriorityQueue
import time
import os
class Graph():
def __init__(self, tam):
self.dist = np.zeros(shape=(tam))
for i in range(tam):
self.dist[i] = int(1e18)
self.graph = list()
for _ in range(tam):
self.graph.append(list()... | projeto-de-algoritmos/Grafos2_MyDij | MyDij.py | MyDij.py | py | 2,188 | python | pt | code | 1 | github-code | 36 |
29101112137 | import numpy
from scipy import stats
speed = [99, 86, 87, 88, 111, 86, 103, 87, 94, 78, 77, 85, 86]
ages = [5, 31, 43, 48, 50, 41, 7, 11, 15, 39, 80, 82, 32, 2, 8, 6, 25, 36, 27, 61, 31]
mean = numpy.mean(speed)
median = numpy.median(speed)
mode = stats.mode(speed)
std = numpy.std(speed)
var = numpy.var(spe... | maxyvisser/Python-projects | ML/ML intro.py | ML intro.py | py | 452 | python | en | code | 0 | github-code | 36 |
24925094334 | import sys
import itertools
import copy
input = sys.stdin.readline
n = int(input())
A = list(map(int, input().strip().split()))
b = list(map(int, input().strip().split()))
B = []
for i in range(4):
for j in range(b[i]):
B.append(i)
B = list(itertools.permutations(B, n-1))
result = []
for i in range(len(B... | pla2n/python_practice | python/backjoon/14888_연산자 끼워넣기.py | 14888_연산자 끼워넣기.py | py | 685 | python | en | code | 0 | github-code | 36 |
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