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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
72289356138 | #! /usr/bin/python
import os
import argparse
parser=argparse.ArgumentParser()
parser.add_argument('-f', nargs='+',required=True,\
help='[required] input files')
parser.add_argument('-d', required=True,\
help='[required] Specify the date the data was taken on in the form \
mm-dd-yyyy. This is used to generat... | jlazar17/EKA_quantum_conductance | code/analysis/igor_binary_convert.py | igor_binary_convert.py | py | 995 | python | en | code | 0 | github-code | 90 |
23932846439 | from django.shortcuts import render , redirect
from django.contrib.auth.decorators import login_required
from .models import Cart_Added , Order_done ,User_orders
from django.contrib import messages
from accounts.models import Billing ,Curency
from random import randint
@login_required(login_url='login')
def car... | rezapaul/django-onnline-shop | order/views.py | views.py | py | 6,041 | python | en | code | 0 | github-code | 90 |
24539236913 | #number is even
#function with argument and return type
def even(num):
num=int(input("Enter the number"))
if(num%2==0):#9%2==0
result="Even"
else:
result="Not Even"
return result
data=even(2)
print(data)
| toncysara17/luminarpythonprograms | Core_Python/Functions/evenoroddthirdmethod.py | evenoroddthirdmethod.py | py | 236 | python | en | code | 0 | github-code | 90 |
34871752800 | """ test partial slicing on Series/Frame """
from datetime import datetime
import numpy as np
import pytest
from pandas import (
DataFrame,
DatetimeIndex,
Index,
MultiIndex,
Series,
Timedelta,
Timestamp,
date_range,
)
import pandas._testing as tm
class TestSlicing:
def test_stri... | pandas-dev/pandas | pandas/tests/indexes/datetimes/test_partial_slicing.py | test_partial_slicing.py | py | 16,495 | python | en | code | 40,398 | github-code | 90 |
39755864827 | import os
from pathlib import Path
from configurations import Configuration
from django.core.exceptions import ImproperlyConfigured
BASE_DIR = Path(__file__).parent.parent
class _NOT_PROVIDED:
pass
def get_env_setting(env_var: str | list[str], default=_NOT_PROVIDED) -> str:
"""
Get an environment sett... | levic/django-multitenancy-presentation | examples/django_site/settings.py | settings.py | py | 5,571 | python | en | code | 2 | github-code | 90 |
3451700232 | import numpy as np
#Libreria para conversion de imagenes
from tensorflow.keras.preprocessing.image import load_img, img_to_array
#Libreria para cargar el modelo
from tensorflow.keras.models import load_model
#import os.path
from django.conf import settings
import os
#funcion de predicion de enfermedad recibe(Imagen JP... | BrandonGrande/smart-web-system | apps/appDiagnostico/prediccion.py | prediccion.py | py | 1,454 | python | es | code | 0 | github-code | 90 |
18102040099 | from collections import deque
n = int(input())
AL = [None for _ in range(n + 1)]
for i in range(1, n + 1):
ukv = [int(x) for x in input().split()]
AL[ukv[0]] = ukv[2:]
que = deque([1])
visited = [False] + [True] + [False] * (n - 1)
dist = [-1] + [0] + [-1] * (n - 1)
while que:
u = que.popleft()
for v ... | Aasthaengg/IBMdataset | Python_codes/p02239/s834703962.py | s834703962.py | py | 489 | python | en | code | 0 | github-code | 90 |
18377479959 | import sys
input = sys.stdin.readline
N, M = map(int, input().split())
L = [[] for i in range(N + 1)]
for i in range(M):
a, b = map(int, input().split())
L[a].append(b)
# print(L)
S, T = map(int, input().split())
dist = [[10**9 for i in range(N + 1)] for j in range(3)]
dist[0][S] = 0
# print(dist)
Q = []
for... | Aasthaengg/IBMdataset | Python_codes/p02991/s214211596.py | s214211596.py | py | 770 | python | en | code | 0 | github-code | 90 |
44019907645 | # -*- coding: utf-8 -*-
"""
Created on Tue Mar 23 18:23:42 2021
@author: Andres L
"""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import colors
import pylab
VOI = []
PriorBelief = np.arange(0.01,1,0.01)
Pro_detection = np.arange(0.01,1,0.01)
FirstD = []
DetectUP = []
NoDetectUP ... | edalopezga/VOI_OPTIMISATION | VOI_Analysis.py | VOI_Analysis.py | py | 4,748 | python | en | code | 0 | github-code | 90 |
74099231018 | """
Given a collection of intervals, find the minimum number of intervals
you need to remove to make the rest of the intervals non-overlapping.
Intervals can "touch", such as [0, 1] and [1, 2], but they won't be considered overlapping.
For example, given the intervals (7, 9), (2, 4), (5, 8),
return 1 as the last int... | danny-hunt/Problems | overlapping_intervals/overlapping_intervals.py | overlapping_intervals.py | py | 2,278 | python | en | code | 2 | github-code | 90 |
4355938348 | import torch
from xtagger.utils import metrics
from xtagger.utils.callbacks import Checkpointing
import torch.nn as nn
from tqdm.auto import tqdm
from typing import List, Optional, Union
try:
import torchtext.legacy.data as ttext
except ImportError:
import torchtext.data as ttext
class PyTorchTagTrainer():
... | safakkbilici/x-tagger | xtagger/utils/trainer.py | trainer.py | py | 9,144 | python | en | code | 9 | github-code | 90 |
43222935812 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from images import load as load_img, save as save_img
def ex1(input_file: str, output_file: str) -> int:
img = load_img(input_file)
colours = [img[0][0]]
res = count_plots(img, colours, len(img[0]), len(img))
save_img([colours], output_file)
return res
def cou... | devExcale/acsai-homework-y1 | HW8rec/program01.py | program01.py | py | 1,812 | python | en | code | 1 | github-code | 90 |
18305159309 | def main():
s = input()
s_l = len(s)
cnt = 0
for i in range(s_l//2):
if s[i] != s[::-1][i]:
# if s[i] != s[s_l-i-1]:
cnt += 1
print(cnt)
if __name__ == '__main__':
main() | Aasthaengg/IBMdataset | Python_codes/p02836/s606524060.py | s606524060.py | py | 223 | python | en | code | 0 | github-code | 90 |
37890387491 | import socket
from threading import Thread
class SocketCommunication:
def __init__(self, ip=None, port=None):
self.mSocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
if ip is None:
self.ip = "localhost"
if port is None:
self.port = 5005
return
... | SnovvyOwl/COA_PY_AutonomusCAR | Server/server_python/2Server.py | 2Server.py | py | 2,750 | python | en | code | 3 | github-code | 90 |
40488421765 | N_BINS = 100
EMBD_DIM=12 # How to choose? Even 2^32 is too large for representing TRANSITION_DIM*SEQUENCE_LENGTH*N_BINS
TRANSITION_DIM=8 # traffic prediction
# OBSERVATION_DIM= 6
OBSERVATION_DIM= 6 # traffic prediction
# OCC_RELATED_OBSERVATION_DIM = 2
OCC_EMBEDDING_DIM = 32
ACTION_DIM=2
SEQUENCE_LENGTH=40
| zhangbw97/commonroad-trajectory-transformer | models/config.py | config.py | py | 309 | python | en | code | 2 | github-code | 90 |
2972339388 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Time: 2019/3/6 10:33
__author__ = 'Peter.Fang'
import os
import sys
import xlrd
pwd = os.path.dirname(os.path.realpath(__file__))
sys.path.append(pwd + "../")
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "df2.settings")
import django
django.setup()
from app.acc.mo... | fy1716/df2 | db_tools/acc_asyn.py | acc_asyn.py | py | 1,770 | python | en | code | 0 | github-code | 90 |
10637639796 | def binary(a):
res = [0] * 4
i = 3
while a != 0:
res[i] = a % 2
a = int(a / 2)
i -= 1
return res
def hexi(num):
temp1 = int(num / 10)
temp2 = num % 10
temp1 = binary(temp1)
temp2 = binary(temp2)
temp = temp1 + temp2
return temp
pri... | MekdadGhazal/Security-Algorithms | hex.py | hex.py | py | 332 | python | en | code | 0 | github-code | 90 |
23985686109 | class Solution:
def longestPalindromeSubseq(self, s: str) -> int:
N = len(s)
dp = [[0]*N for _ in range(N)]
for i in range(N):
dp[i][i] = 1
for i in range(1, N):
for l in range(N - i):
r = l + i
if s[r] == s[l]:
... | birsnot/A2SV_Programming | longest-palindromic-subsequence.py | longest-palindromic-subsequence.py | py | 468 | python | en | code | 0 | github-code | 90 |
23421337555 | from os import path, environ, getenv
from fabric.api import env
from fabric.colors import green
PROJECT_NAME = 'rookie_booking'
LINODEAPP1 = 'ross@lnapp1:832'
LINODEDB = 'ross@lndb:832'
VAGRANTAPP1 = 'ross@vmapp1:22'
LOCALHOST_DESKTOP = 'UbuntuBox'
LOCALHOST_LAPTOP = 'ross@UbuntuPad'
env.hos... | RossLYoung/rookie_booking | rookie_booking/config/fab_settings.py | fab_settings.py | py | 2,158 | python | en | code | 3 | github-code | 90 |
40990265401 | import unittest
import sys
import os
sys.argv[0] = "plugin://plugin.video.livestreams"
from tinyxbmc import stubmod
from tinyxbmc import net
from tinyxbmc import tools
import addon
stubmod.rootpath = os.path.realpath(os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", ".."))
base = addon.Base()
def test... | boogieeeee/repository.boogie | plugin.video.livestreams/test/__init__.py | __init__.py | py | 2,170 | python | en | code | 1 | github-code | 90 |
34516142877 | from datetime import date, time
from .base import *
DEBUG = False
TEMPLATE_DEBUG = DEBUG
TEST_APPS = ("django_pdb",)
TEST_MODE = True
OBIEE_ZIP_PASSWORD = "test"
REST_FRAMEWORK["DEFAULT_THROTTLE_RATES"]["login"] = "10000000000/sec"
TEST_RUNNER = "core.testing.CLADiscoverRunner"
DATABASES["default"]["ENGINE"] = "... | ministryofjustice/cla_backend | cla_backend/settings/testing.py | testing.py | py | 775 | python | en | code | 5 | github-code | 90 |
71369911656 | from geonature.utils.env import DB
from werkzeug.exceptions import NotFound
class ZhRepository:
"""
Repository: classe permettant l'acces au données
d'un modèle de type 'zh'
"""
def __init__(self, model):
self.model = model
def delete(self, id_zh, user, user_cruved):
"""Delet... | PnX-SI/gn_module_ZH | backend/gn_module_zh/model/repositories.py | repositories.py | py | 727 | python | en | code | 3 | github-code | 90 |
17872642201 | import requests
import datetime
import csv
import json
import base64
proxies = {
"http": "http://pfrie-std.proxy.e2.rie.gouv.fr:8080",
"https": "http://pfrie-std.proxy.e2.rie.gouv.fr:8080"
}
cle = '3FH1jzDdxIg_S0_7NcdIZAZBaoIa'
secret = 'll0htvhgkItaFQjy6vVhrfRcBqIa'
auth = (base64.b64encode(... | MANCodeClub/pythonfromscratch | musculation/010_sirets/siret_V0.0.py | siret_V0.0.py | py | 5,685 | python | fr | code | 1 | github-code | 90 |
4702819146 | import json
def getdeletablefiles(oldpipelines, newpipelines):
deletables = []
new_files = json.loads(newpipelines.read())
old_files = json.loads(oldpipelines.read())
for pipeline in new_files:
new_yaml = pipeline['yamlFileName']
new_repo = pipeline['manageURL']
new_branch = p... | SachithKasthuriarachchi/scripts | delete-v2.py | delete-v2.py | py | 1,188 | python | en | code | 0 | github-code | 90 |
37150992650 | # 21.05.03
n = int(input())
person = []
for _ in range(n):
weight, height = map(int,input().split())
person.append((weight,height))
bigger = []
for i in range(n):
count = 0
for j in range(n):
if i==j:
continue
if person[i][0] < person[j][0] and person[i][1] < person[j][1]... | camel-man-ims/coding-test-python | problems/backjoon_강좌참조/완전탐색/덩치.py | 덩치.py | py | 855 | python | en | code | 0 | github-code | 90 |
72141434538 | import requests
import sys
import json
import re
endpoint = '/api.php?action=query&list=groupmembers&gmgroups=bot|bot-global&gmlimit=500&format=json'
def get_bots_ids(base_url, offset=0):
"""
Query the enpoint and returns a list of bot userids
"""
url = base_url + endpoint + '&gmoffset={}'.format(offset)... | Grasia/wiki-scripts | get_bot_users/query_bot_users.py | query_bot_users.py | py | 1,497 | python | en | code | 20 | github-code | 90 |
17498196972 | import socket
import json
def Main():
host = "localhost"
port = 8080
mySocket = socket.socket()
mySocket.bind((host, port))
mySocket.listen(1)
conn, addr = mySocket.accept()
print("Connection from: " + str(addr))
data = conn.recv(1024).decode()
if not data:
return
use... | WeStCoastSlavs/quebec | working_dir/client-server-daniel/server.py | server.py | py | 531 | python | en | code | 0 | github-code | 90 |
17240909225 | import time
from celery.utils.log import get_task_logger
from django.core.mail import send_mail
from django.template.loader import render_to_string
from images.models import Image
from dominion import base
from dominion.app import APP
from dominion.engine import EXIT_STATUS, PiemanDocker
from dominion.exceptions imp... | tolstoyevsky/dominion | dominion/tasks.py | tasks.py | py | 3,520 | python | en | code | 0 | github-code | 90 |
34072462497 | """A module for fetching eparavolo API information."""
import datetime
import functools
import logging
import requests
import yaml
import zeep
from zeep.wsse.username import UsernameToken
from zeep.exceptions import Error as ZeepError
from .error import eParavoloErrorCode as ErrorCode
from diavlos.data import IN_FIL... | ckarageorgkaneen/diavlos | diavlos/src/eparavolo/eparavolo.py | eparavolo.py | py | 3,085 | python | en | code | 3 | github-code | 90 |
18358262599 | def main():
import sys
input = sys.stdin.readline
N, M, P = map(int, input().split())
INF = 10 ** 9
#入力
# 入力は1-index
# 内部で0-indexにして処理
G = []
for _ in range(M): #M個の辺の情報を受け取る
A, B, C = map(int, input().split()) #lからrへ重みsの辺が存在
G += [[A - 1, B - 1, P - C]] #有向グラフのときは... | Aasthaengg/IBMdataset | Python_codes/p02949/s324667652.py | s324667652.py | py | 1,458 | python | en | code | 0 | github-code | 90 |
18249444029 | N = int(input())
A = list(map(int, input().split()))
Cnt = [0] * (N+1)
for a in A:
Cnt[a] += 1
ans0 = 0
for c in Cnt:
ans0 += c * (c-1) // 2
Ans = [ans0 - Cnt[a] + 1 for a in A]
print("\n".join(map(str, Ans)))
| Aasthaengg/IBMdataset | Python_codes/p02732/s550629335.py | s550629335.py | py | 218 | python | en | code | 0 | github-code | 90 |
72736937577 | """
KV Le
CSE 163 AG
Final Project
A script that retrieves and cleans the data needed for my Final Project about
MyAnimeList Users
"""
import pandas as pd
from jikanpy import Jikan
from time import sleep
def clean_user_animelists():
"""Cleans original user animelists for information relavent to the project
... | kvietcong/cse163-final | data_retrieve_cleaning.py | data_retrieve_cleaning.py | py | 5,662 | python | en | code | 0 | github-code | 90 |
24451378828 | import codecs
import json
import os
import random
import asyncio
import re
from cloudbot import hook
from cloudbot.util import textgen
nick_re = re.compile("^[A-Za-z0-9_|.\-\]\[\{\}]*$", re.I)
cakes = ['Chocolate', 'Ice Cream', 'Angel', 'Boston Cream', 'Birthday', 'Bundt', 'Carrot', 'Coffee', 'Devils', 'Fruit',
... | CrushAndRun/Cloudbot-Fluke | plugins/foods.py | foods.py | py | 22,246 | python | en | code | 0 | github-code | 90 |
19387036958 | import pygame
from block import Block
from text import Text
from ball import Ball
def intersect(rect1, rect2):
if (rect1.x < rect2.x + rect2.width) and (rect1.x + rect1.width > rect2.x) and (
rect1.y < rect2.y + rect2.height) and (rect1.height + rect1.y > rect2.y):
return True
return False... | matija-stankovic/Block_Destroyer | main.py | main.py | py | 4,989 | python | en | code | 0 | github-code | 90 |
19018568825 | from collections import deque
from math import inf
class Solution:
def maximumDistance(self, n, m, src, edges):
in_deg_arr, adj_lst = [0 for i in range(n)], [[] for i in range(n)]
q, res = deque(), [-inf for i in range(n)] ; res[src] = 0
for start, end, weight in edges:
in_deg_a... | Tejas07PSK/lb_dsa_cracker | Graph/Longest path in a Directed Acyclic Graph/solution.py | solution.py | py | 822 | python | en | code | 2 | github-code | 90 |
43323232536 | import sqlite3
# connect to the database
conn = sqlite3.connect('players.db')
# create a cursor object to execute SQL queries
c = conn.cursor()
# fetch and print all rows
c.execute("SELECT * FROM players_table")
print(c.fetchall())
# close the cursor and connection
c.close()
conn.close()
| Ekstrom98/Fantasy-Premier-League | database_test_fetch.py | database_test_fetch.py | py | 292 | python | en | code | 0 | github-code | 90 |
23201962598 | # -*- coding:utf-8 -*-
from __future__ import print_function
import os
parameter = dict()
parameter['img_row'] = 224
parameter['img_col'] = 224
parameter['class_num'] = 102
parameter['batch_size'] = 102
parameter['iteration'] = 50000
parameter['learning_rate'] = 0.01
parameter['data_set'] = './data_set/... | lc1003/Cross_net | config.py | config.py | py | 1,949 | python | en | code | 0 | github-code | 90 |
30214254599 | #!/usr/bin/env python
import numpy as np
import cv2
showBackProj = False
showHistMask = False
frame = None
hist = None
def show_hist(hist):
"""Takes in the histogram, and displays it in the hist window."""
bin_count = hist.shape[0]
bin_w = 24
img = np.zeros((256, bin_count * bin_w, 3), np.uint8)
... | Soist/waste_sorter | Activity4/Milestone2.py | Milestone2.py | py | 4,398 | python | en | code | 0 | github-code | 90 |
16515849240 | #1. Write a program called round.py. The program should take in a float and
#output an int (rounded up or down)
# Author: Audrey Fitzgerald
# rounds, rounds to nearest even number so is not an accurate indicator
# I want to round flat 5.99 to 6
# error I made was entered the float number into the programme
numberToR... | G00425693/Mywork | week3/3.2 Fun with numbers/round.py | round.py | py | 466 | python | en | code | 0 | github-code | 90 |
22347755715 | import numpy as np
import matplotlib.pyplot as plt
from scipy import constants
from scipy.signal import stft
from scipy import sparse
from scipy.sparse.linalg import spsolve
"""
We use a kaiser window to balance the main-lobe width and side lobe level.
see here, ~https://numpy.org/doc/stable/reference/genera... | jjyaking/FT-and-STFT | ft_stft_functions.py | ft_stft_functions.py | py | 3,932 | python | en | code | 0 | github-code | 90 |
27191095338 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Room',
fields=[
('id', models.AutoField(verbose... | njncalub/pct-infosys | room_manager/migrations/0001_initial.py | 0001_initial.py | py | 1,003 | python | en | code | 0 | github-code | 90 |
10400379028 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 15 11:24:42 2019
@author: admin
"""
'''
根据一棵树的中序遍历与后序遍历构造二叉树。
注意:
你可以假设树中没有重复的元素。
例如，给出
中序遍历 inorder = [9,3,15,20,7]
后序遍历 postorder = [9,15,7,20,3]
返回如下的二叉树：
3
/ \
9 20
/ \
15 7
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/construct-binary... | k8godzilla/-Leetcode | 1-100/L106.py | L106.py | py | 2,786 | python | zh | code | 0 | github-code | 90 |
39683250893 | from math import sqrt
from numba import njit
import numpy as np
def main():
def soe(n: int) -> list[bool]:
"""creates a Sieve of Eratosthenes array of size n"""
iterlimit = int(sqrt(n)) + 1
is_prime_list = [True]*(n + 1)
# for 0 and 1
is_prime_list[0] = is_prime_list[1] =... | mattblferrer/euler | 601-650/650.py | 650.py | py | 3,471 | python | en | code | 0 | github-code | 90 |
70103693738 | import sys
import serial
import serial.tools.list_ports
def help():
print("Usage: startstop.py led <led> [ON|OFF]")
print(" startstop.py help")
def help_and_quit():
help()
sys.exit(0)
def set_led(port, led, state):
ser = serial.Serial(port, 115200, timeout=1)
ser.write(f'{led}{state}\r... | Timu5/startstop | startstop.py | startstop.py | py | 1,287 | python | en | code | 0 | github-code | 90 |
15527995086 | from uret.transformers import SubTransformer
import random
import os
import tempfile
import subprocess
import numpy as np
from copy import deepcopy
class UPXPack(SubTransformer):
name = "UPXPack"
def __init__(self, compression_levels=list(range(1, 10)), seed=None, subtransformer_index=None):
"""
... | IBM/URET | uret/transformers/binary/subtransformers/upx_pack.py | upx_pack.py | py | 4,701 | python | en | code | 22 | github-code | 90 |
42318687088 | """
arcface extract feature + linearSVC classifier
"""
from sklearn.svm import SVC, LinearSVC
from sklearn.model_selection import GridSearchCV
from tqdm import tqdm
import numpy as np
import argparse
import json
import pickle
import time
import random
import os
base_path = os.path.dirname(os.path.dirname(os.path.... | nhlinh99/Face-Recognition-Project | src/FaceRecognition/train_SVM.py | train_SVM.py | py | 6,020 | python | en | code | 0 | github-code | 90 |
32425343059 | import torch
from torch.utils.data import Dataset
from tqdm import tqdm
import os
import random
import pickle
class SelectionDataset(Dataset):
def __init__(self, file_path, args, tokenizer, sample_cnt=None):
self.max_contexts_length = args.max_contexts_length
self.data_source = []
self.tok... | chijames/zero_shot_dialogue_disentanglement | link_based_dialogue_disentanglement/dataset.py | dataset.py | py | 2,682 | python | en | code | 7 | github-code | 90 |
15805839882 | #latihan data perpustakaan
kumpulan_data_buku = []
while True:
judul_buku = input("Judul Buku\t: ")
penulis_buku = input("Penulis\t\t: ")
data_buku = [judul_buku, penulis_buku]
kumpulan_data_buku.append(data_buku)
print("|\tNo\t|\t\tJudul\t\t|\tPenulis\t\t|")
for index,buku in enumerate(kumpul... | dikrifzn/belajar_python | 28_list_latihan.py | 28_list_latihan.py | py | 507 | python | id | code | 0 | github-code | 90 |
17368127313 | # 数学的な解法
K = int(input())
A, B = map(int, input().split())
# 数学的な解法
ok = False
x = A // K
u = B // K
if x < u:
ok = True
if A % K == 0:
ok = True
if ok:
print("OK")
else:
print("NG") | bibitto/algorithm | chokudai_text/chapter5/5.2/golf2.py | golf2.py | py | 228 | python | ja | code | 0 | github-code | 90 |
43052069857 | from asyncore import poll
from nturl2path import url2pathname
from client_pollution import *
from client_cities import *
from repository import *
from service import Service
import requests
from config import load_config
def set_city_parameters():
# Set parameters to specify city details
params = GetCitiesPa... | jamin10/air-pollution-service | main.py | main.py | py | 2,197 | python | en | code | 0 | github-code | 90 |
8770454306 | def DNA_strand(dna):
# code here
def options(i):
switcher={
'A':'T',
'T':'A',
'G':'C',
'C':'G'
}
return switcher.get(i)
poli = []
for l in dna:
poli.append(options(l))
new_dna = str(poli).replace(',', ''... | OseiasBeu/codewars | DNA/DNA_strand.py | DNA_strand.py | py | 623 | python | en | code | 1 | github-code | 90 |
25255973891 | from config.config import VK_USER_TOKEN, VK_VERSION
import requests
def get_city(_city):
params = {"v": VK_VERSION, "access_token": VK_USER_TOKEN, 'country_id': 1, 'count': 1, 'q': _city}
url = f"https://api.vk.com/method/database.getCities"
response = requests.get(url, params=params).json()
if not r... | MortInsane/VKinder_mort | utils/vkinder_commands.py | vkinder_commands.py | py | 1,915 | python | en | code | null | github-code | 90 |
16253474637 | #!/usr/bin/env python
# pylint: disable=wrong-import-position
import os
import time
import traceback
from argparse import ArgumentParser
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from evaluation import Evaluation
from one_way_evaluations impor... | furgerf/GAN-for-dermatologic-imaging | src/compare_two_to_one_models.py | compare_two_to_one_models.py | py | 4,888 | python | en | code | 0 | github-code | 90 |
8247217025 | from crypt import methods
from flask import Blueprint, jsonify, request
from app.models import comment, db, Tweet, Comment
from flask_login import current_user, login_required
from app.forms import TweetForm, DeleteForm
from app.forms import CommentForm
tweet_routes = Blueprint("tweet",__name__)
def validation_error... | nullgar/tweettah | app/api/tweet_routes.py | tweet_routes.py | py | 5,431 | python | en | code | 0 | github-code | 90 |
18336713009 | from math import gcd
def main():
def factorization(n):
arr = []
temp = n
for i in range(2, int(-(-n ** 0.5 // 1)) + 1):
if temp % i == 0:
cnt = 0
while temp % i == 0:
cnt += 1
temp //= i
arr.a... | Aasthaengg/IBMdataset | Python_codes/p02900/s586447775.py | s586447775.py | py | 659 | python | en | code | 0 | github-code | 90 |
9015453971 | import pygame
#button class
class Button():
def __init__(self, x: int, y: int, image: str, scale: int) -> None:
width = image.get_width()
height = image.get_height()
self.image = pygame.transform.scale(image, (int(width * scale), int(height * scale)))
self.rect = self.image.get_rect()
self.rect.to... | Michaelllllll25/Best-Game | button.py | button.py | py | 969 | python | en | code | 0 | github-code | 90 |
13584219992 |
from multiprocessing.sharedctypes import RawValue
import time
import random
def bSort(array):
# определяем длину массива
length = len(array)
#Внешний цикл, количество проходов N-1
for i in range(length):
# Внутренний цикл, N-i-1 проходов
for j in range(0, length-i-1):
#Меняе... | justsupb/python_lessons | LESS_7/main.py | main.py | py | 2,771 | python | en | code | 0 | github-code | 90 |
21523666145 | import cv2
import numpy as np
spoons_noise = cv2.imread('resources\\spoons_2.png', 0) # spoons_noise
spoons_gaps = cv2.imread('resources\\spoons_1.png', 0) # spoons_gaps
kernel = np.ones((5, 5), np.uint8)
dilation = cv2.dilate(spoons_gaps, kernel, iterations=2)
erode = cv2.erode(spoons_noise, kernel, iterations=2)
op... | MisterZurg/Bonch_Elective_ComputerVision | CV_Lecture_3/morphology.py | morphology.py | py | 687 | python | en | code | 1 | github-code | 90 |
21687261182 | #!/usr/bin/env python
# coding: utf-8
# In[6]:
import pyspark
# In[8]:
findspark.init('/usr/local/spark')
# In[9]:
from pyspark import SparkContext
# In[10]:
conf=pyspark.SparkConf().setMaster("local").setAppName("first")
# In[11]:
sc=SparkContext(conf=conf)
# In[5]:
sc.stop()
# In[12]:
rdd=s... | nirati16/BootCamp | Spark Context.py | Spark Context.py | py | 934 | python | en | code | 0 | github-code | 90 |
18354719869 | s = input()
t = input()
n = len(s)
m = len(t)
s += s
next = [[-1] * 26 for _ in range(len(s) + 1)]
# 場所iから、次の文字jへの場所、みたいなテーブル
# 後ろから更新してくと最短距離になる
# next[i]は場所iを含む
for i in range(len(s) - 1, -1, -1):
c = ord(s[i]) - ord('a')
for j in range(26):
if j == c:
next[i][j] = i
else:
... | Aasthaengg/IBMdataset | Python_codes/p02937/s956839630.py | s956839630.py | py | 674 | python | ja | code | 0 | github-code | 90 |
18535595469 | import sys
import bisect
# from collections import Counter, deque, defaultdict
# import copy
# from heapq import heappush, heappop, heapify
# from fractions import gcd
# import itertools
from operator import attrgetter, itemgetter
# import math
# import numpy as np
readline = sys.stdin.readline
MOD = 10 ** 9 + 7
IN... | Aasthaengg/IBMdataset | Python_codes/p03353/s087852568.py | s087852568.py | py | 675 | python | en | code | 0 | github-code | 90 |
13842465372 | import threading
import time
def enumerateThreads():
print("Enumeration of threads:")
for i in threading.enumerate():
print(" ·", i.getName())
def numberOfThreads():
print("Number of threads: " + str(threading.active_count()))
def currentThreadName():
print("Current thread name: " + threadi... | Xayiide/Threading | PCA/Python/Threads/threads.py | threads.py | py | 949 | python | en | code | 0 | github-code | 90 |
73600828137 | #! /usr/bin/env python3
from setuptools import setup
url = "https://github.com/chuanconggao/TagStats"
version = "0.1.2"
setup(
name="TagStats",
packages=["tagstats"],
url=url,
version=version,
download_url=f"{url}/tarball/{version}",
license="MIT",
author="Chuancong Gao",
author_... | chuanconggao/TagStats | setup.py | setup.py | py | 803 | python | en | code | 1 | github-code | 90 |
15537932021 | def crc_calculation(input_bits, crc_polynomial):
# Crear una copia de los bits de entrada
remaining_bits = input_bits.copy()
# Inicializar la lista de cálculo
calculation_result = []
# Calcular los primeros bits utilizando el polinomio CRC
for _ in range(len(crc_polynomial)):
calculati... | fredyvelasquezgt/Lab-2-Redes | Angel/crc_emisor.py | crc_emisor.py | py | 2,533 | python | es | code | 0 | github-code | 90 |
25023165228 | #!/usr/bin/env python3
import sys
from sodacomm.tools import testwrapper
def all_sum(arr):
do_all_sum(0, arr, 0)
def do_all_sum(s, arr, i):
if i == len(arr):
print(s)
return
do_all_sum(s, arr, i+1)
do_all_sum(s+arr[i], arr, i+1)
def min_unformed_sum(arr):
n = len(arr)
_sum = ... | missingjs/soda | works/zcy2/c9/q14.py | q14.py | py | 1,148 | python | en | code | 0 | github-code | 90 |
37355954358 | import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.model_selection import ____
# Loading in the data
pokemon = pd.read_csv('data/pokemon.csv')
X = pokemon.loc[:, 'speed':'capture_rt']
y = pokemon['legendary']
X_train, X_test, y_train,... | UBC-MDS/introduction-machine-learning | exercises/en/exc_03_12.py | exc_03_12.py | py | 588 | python | en | code | 3 | github-code | 90 |
39547446241 | from flask import *
import requests, os
import mysql.connector.pooling, datetime
import time, controller.db_conncetion
from controller.token import make_token, decode_token
from controller.utils import regexName, regexEmail, regexPhone
from dotenv import load_dotenv
load_dotenv()
# Blueprint
api_order = Blueprint("ap... | Tankliu6/taipei-day-trip | controller/api_order.py | api_order.py | py | 8,722 | python | en | code | 0 | github-code | 90 |
24245319372 | #!/usr/bin/python
# coding: utf-8
#
# @file: show.py
# @date: 2015-01-30
# @brief:
# @detail:
#
#################################################################
import cv2, time, math
import numpy as np
from calc import FrameSum
FNAME = 'video/s.mp4'
cap = cv2.VideoCapture(FNAME)
cv2.namedWindow('origin')
cv2.named... | sunkwei/image_anaysis | st2/show.py | show.py | py | 2,166 | python | en | code | 0 | github-code | 90 |
5946336210 | from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql import HiveContext
import mysql.connector
import math
from pyspark.sql import Row, StructField, StructType, StringType, IntegerType
sc = SparkContext("local", "videoDifficulty")
sqlContext = HiveContext(sc)
timeFrameSize=4
#timeFrame... | anurag-198/big_data_analysis | analyticalModels/src/videoDifficultySpark.py | videoDifficultySpark.py | py | 21,454 | python | en | code | 3 | github-code | 90 |
22377544925 | # [70. leetcode 211]
class TrieNode:
def __init__(self):
self.children = {}
self.isEnd = False
class WordDictionary:
def __init__(self):
self.root = TrieNode()
def addWord(self, word):
cur = self.root
for c in word:
if c not in cur.children:
cur.children[c] = TrieNode()
... | hannayangg/penwing | Quest/70.py | 70.py | py | 871 | python | en | code | 0 | github-code | 90 |
12315414163 | from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
url(r'^$', 'server.views.home'),
url(r'^server/create/$', 'server.views.create'),
url(r'^server/view/(?P<server_id>\w+)/$', 'server.views.view'),
url(r'^image/... | adambratt/MineHound | minehound/urls.py | urls.py | py | 724 | python | en | code | 1 | github-code | 90 |
69984266858 | from . import WatcherBaseDriver
import socket
import json
from typing import Callable, Optional, Dict, Any
class GatewayWatcher(WatcherBaseDriver):
def __init__(self):
self.muliticast = "224.0.0.50"
self.senderip = "0.0.0.0"
self.port = 9898
self._loop = True
self.sock = so... | angrysoft/pyiot | pyiot/watchers/aqara.py | aqara.py | py | 1,225 | python | en | code | 0 | github-code | 90 |
18589285179 | N = input()
A = list(map(int,input().split()))
c = 0
d = -1
while c>d:
d+=1
for i in A:
if i%2 == 0:
continue
else :
print(c)
break
else :
A=list(map(lambda x :x/2,A))
c += 1
| Aasthaengg/IBMdataset | Python_codes/p03494/s640659317.py | s640659317.py | py | 216 | python | en | code | 0 | github-code | 90 |
19716290268 | import numpy as np
import matplotlib.pyplot as plt
# Problem 5:
def x_n(n):
if 0<= n<= 2:
return n+1
else:
return 0
n_values = np.arange(-5, 15) # A range of n values
x_values = [x_n(n) for n in n_values]
plt.figure()
def unit_impulse(n):
if n==0:
return 1
else:
r... | PeterhdPham/TTT4120_Digital_Signal_Processing | Problem_sets/Problem_Set_1/figures/Problem5.py | Problem5.py | py | 2,301 | python | en | code | 0 | github-code | 90 |
15976603765 | N = int(input())
## N = 5*a + 3*b
# a: 5kg의 개수 , b: 3kg의 개수
# min (a+b) , if a and b is not integer : then print(-1)
# integer programming
a = N // 5
while a >= 0:
b = N - a * 5
if b%3==0:
b//=3
print(a+b)
break
if a==0:
if N%3 ==0:
print(N%3)
else:
... | OnMyWave/Algorithm | Baekjoon/2839 : 설탕 배달.py | 2839 : 설탕 배달.py | py | 359 | python | ko | code | 0 | github-code | 90 |
4485518262 | from math import *
import math
import cv2
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
def Image_extrapolation():
img_path = input("Enter image path: ")
img = cv2.imread(img_path, 0)
interpolation_factor = float(input("Enter the interpolation factor: "))
row... | aryan10behal/Digital-Image-Processing | Task 1/Transformation_on_image.py | Transformation_on_image.py | py | 12,606 | python | en | code | 0 | github-code | 90 |
16465344484 | #!/usr/bin/env python3
from __future__ import division
import copy
import os
import random
import time
from asciimatics.effects import Cycle, Stars, Print
from asciimatics.renderers import FigletText
from asciimatics.scene import Scene
from asciimatics.screen import Screen
# print welcome screen
def clear_screen():
... | chrisx8/battleship | battleship.py | battleship.py | py | 8,075 | python | en | code | 0 | github-code | 90 |
41012051718 | import logging
import datetime
from datetime import timedelta
import requests
import json
from homeassistant.helpers.entity import Entity
from homeassistant.util import Throttle
_LOGGER = logging.getLogger(__name__)
SCAN_INTERVAL = timedelta(minutes=10)
# Replace with your API URL
API_URL = (
"https://api.strom... | mfmayer/StromGedacht | sensor.py | sensor.py | py | 3,381 | python | en | code | 2 | github-code | 90 |
27580618098 | import numpy as np
import pandas as pd
def gen_feats(constits_info, j_info, n_constits=50, label=0):
"""Takes two pandas DataFrames (created by events_to_pd) and returns two pandas DataFrames with features."""
# Initialize
j_info = j_info.copy()
constits_info = constits_info.copy()
# Add transver... | noamwunch/displaced_tracks | trash/gen_feats0.py | gen_feats0.py | py | 2,747 | python | en | code | 0 | github-code | 90 |
18328271789 | import sys
import numpy as np
sr = lambda: sys.stdin.readline().rstrip()
ir = lambda: int(sr())
lr = lambda: list(map(int, sr().split()))
# 二分探索
N, K = lr()
A = np.array(lr())
F = np.array(lr())
A.sort()
F = np.sort(F)[::-1]
def check(x):
count = np.maximum(0, (A - (x // F))).sum()
return count <= K
left = ... | Aasthaengg/IBMdataset | Python_codes/p02883/s231295919.py | s231295919.py | py | 506 | python | en | code | 0 | github-code | 90 |
18315149969 | from itertools import accumulate
n,k = map(int, input().split())
a = list(map(int, input().split()))
a = [0] + a
a2 = list(accumulate(a))
sa = dict()
ans = 0
l = 0
for i in range(n+1):
saadd = (i-a2[i]) % k
try:
sa[saadd] += 1
except:
sa[saadd] = 1
l += 1
if l < k:
continue
... | Aasthaengg/IBMdataset | Python_codes/p02851/s943767296.py | s943767296.py | py | 528 | python | en | code | 0 | github-code | 90 |
73059218216 | import numpy as np
import csv
import codecs
import hw1.morph as morph
import hw2.refer as refer
from scipy.sparse import csr_matrix
from sklearn import svm
import gensim
import gensim.downloader as api
def read_annotated_dict():
annot_dict = {}
f_annot_dict = 'annot_dict.csv'
with codecs.open(f_annot_dict,... | KatyaKos/nlp-kr | nlp/hw3/sentiment.py | sentiment.py | py | 4,697 | python | en | code | 0 | github-code | 90 |
3690733474 | # coding=utf-8
import cv2
import sys
def cutVideo(input_path, out_path, left_top_x, left_top_y, right_bottom_x, right_bottom_y):
"""
视频画幅裁剪，用于实现对ROI的提取
:param input_path: 输入视频路径
:param out_path: 输出视频路径
:param left_top_x: 左上角点x坐标
:param left_top_y: 左上角点y坐标
:param right_bottom_x: 右下角点x坐标
... | zhaoxuhui/TookitsForVideoProcessing | cutVideo.py | cutVideo.py | py | 2,188 | python | en | code | 2 | github-code | 90 |
7820588408 | # adventOfCode 2017 day 17
# https://adventofcode.com/2017/day/17
circ_buffer = [0]
current_index = 0
input_filename = 'input_sample0.txt'
print(f'\nUsing input file: {input_filename}\n')
with open(input_filename) as f:
steps_advanced = int(f.readline().rstrip())
if steps_advanced == 3:
display = True
else:
... | LewisStaples/advent_of_code_2017 | day17/day17_partA.py | day17_partA.py | py | 839 | python | en | code | 0 | github-code | 90 |
18127258692 | import cv2
import numpy as np
# Load the image
image = cv2.imread("C:\\Users\mariy\Pictures\Screenshots\\yeetus.png")
# Convert image to HSV color space
hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
# Get the saturation channel
saturation = hsv_image[:, :, 1]
# Increase saturation by 30
saturation +... | retrowaveist/WiDSProject | saturation.py | saturation.py | py | 771 | python | en | code | 0 | github-code | 90 |
4766865435 | from math import sin, cos
from typing import overload
from pylx16a.lx16a import LX16A
import time
import numpy as np
# from scipy.optimize import curve_fit
import pandas as pd
import matplotlib.pyplot as plt
LX16A.initialize("COM3", 0.1)
#check for errors in each motor
for x in range (1,7):
LX16A(x).... | TamiHime/Robotics-Project | Position Test.py | Position Test.py | py | 3,248 | python | en | code | 0 | github-code | 90 |
74658081255 | import requests
import datetime
from config import tg_bot_token, open_weather_token
from aiogram import Bot, types
from aiogram.dispatcher import Dispatcher
from aiogram.utils import executor
import telebot
from telebot.types import BotCommand
bot = Bot(token=tg_bot_token)
bot1 = telebot.TeleBot(tg_bot_token, parse_m... | UmirzakovOzodbek/tg-bots | weather_bot/main_weather_tg_bot.py | main_weather_tg_bot.py | py | 2,786 | python | en | code | 0 | github-code | 90 |
22729356576 | from flask import Flask, render_template
import pyodbc
import pandas
import requests
# Specifying the ODBC driver, server name, database, etc. directly
cnxn = pyodbc.connect('DRIVER={ODBC Driver 17 for SQL Server};SERVER=localhost;DATABASE=MyKitchen;UID=sa;PWD=password')
# Create a cursor from the connection
curs... | msviopavlova/MyKitchen | server.py | server.py | py | 996 | python | en | code | 0 | github-code | 90 |
5759999905 | from typing import Union, Optional
from sc2 import BotAI
from sc2.client import debug_pb
from sc2.position import Point2, Point3
import bot.injector as injector
class DebugService():
def __init__(self):
self._bot: BotAI = injector.inject(BotAI)
self.disabled = False
async def render_... | Scottdecat/SwarmLord | bot/services/debug_service.py | debug_service.py | py | 2,150 | python | en | code | 0 | github-code | 90 |
36779124274 | from ML_Learn.com.ML.Class.KNN import kNN
#========数据解析-测试集和标签测试=======
#输入文件样例：
#每年获得的飞行常客里程数 玩视频游戏所耗时间百分比 每周消费的冰淇淋升数 喜好权重
# 40920 8.326976 0.953952 3
# 14488 7.153469 1.673904 2
filename = '/Users/hjw/Documents/Java/python/ML/com/ML/Class/KNN/resources/datingTestSet2.txt'
returnMat,classLabelVector = kNN.file2matr... | hjw199089/ML_Learn_Python | ML_Learn/com/ML/Class/KNN/kNNTest2.py | kNNTest2.py | py | 1,545 | python | zh | code | 0 | github-code | 90 |
8979391836 | from django.shortcuts import render
import requests
# Create your views here.
def index(request):
longitude = '51.5'
latitude = '-0.25'
if request.method == 'POST':
longitude = request.POST['longitude']
latitude = request.POST['latitude']
url1 = 'https://api.met.no/weatherapi/locationforecast/2.0/compact?lat=... | AjayYadavAi/weather-dj-app | app/views.py | views.py | py | 761 | python | en | code | 0 | github-code | 90 |
22526815566 | from read_file import read_file
import random
class Node():
def __init__(self, value):
self.value = value
self.l_child = None
self.r_child = None
class Tree():
def __init__(self):
self.root = None
self.index = 0
self.vals = []
self.in_rank = 0
def... | ReallyMonk/-ECE-16-332-573-Data-Struct-Algs | hwk3/Q5/Q5.py | Q5.py | py | 2,461 | python | en | code | 0 | github-code | 90 |
1985733541 |
# -*- coding: utf-8 -*-
import json
import requests
import scrapy
import requests
from lianjiascrapy.items import FangXiaoQuDetItem
class LianJiaXiaoQuDet(scrapy.Spider):
name = 'fangxiaoqudet'
allowed_domains = ['bj.sofang.com']
def start_requests(self):
start_urls = []
with open('fang... | zangree/spider-1 | lianjiascrapy/spiders/box/fangxiaoqudet.py | fangxiaoqudet.py | py | 5,924 | python | en | code | 0 | github-code | 90 |
9332144981 | import csv
from datetime import datetime, timedelta
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import scipy.stats as st
from scipy.signal import savgol_filter
def read_file():
with open('data_samples/idIoTagent_6.csv', 'r') as file:
result = []
csvr... | mkahe/idIoTagent | utils.py | utils.py | py | 4,105 | python | en | code | 0 | github-code | 90 |
20437462970 | from django.db import models
from django.utils import timezone
from django.core.validators import MaxValueValidator, MinValueValidator
import json
from django.contrib.auth.models import User
from django.conf import settings
from django.db.models.signals import post_save
from django.dispatch import receiver
from rest_f... | aadabi/Cruzer | server/rideshare/models.py | models.py | py | 9,310 | python | en | code | 1 | github-code | 90 |
27924480951 | import math
def adam(opfunc, x, config, state=None):
""" An implementation of Adam http://arxiv.org/pdf/1412.6980.pdf
ARGS:
- 'opfunc' : a function that takes a single input (X), the point
of a evaluation, and returns f(X) and df/dX
- 'x' : the initial point
- 'config` : a t... | sibozhang/Text2Video | venv_vid2vid/lib/python3.7/site-packages/torch/legacy/optim/adam.py | adam.py | py | 2,425 | python | en | code | 381 | github-code | 90 |
22238746309 | import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
import squarify
# 2 ways to access a column in pandas/SQL:
#print(data.Growth)
#print(data["Growth"])
#Because sometime the tittle of the columns come from # style that may include comma, space, semicol
file_aus = "AUS_state.csv"
data = pd.read_... | quangineer/australian_cities_population_dataset | main2_Pandas.py | main2_Pandas.py | py | 1,215 | python | en | code | 0 | github-code | 90 |
22764006318 | import tkinter as tk
from tkinter import Grid
from tkinter.filedialog import askopenfilenames
from h3map.controller import MainController
from h3map.gui.menubar import MenuBar
from h3map.view.view import NameView, DescriptionView, MapsView
class NumberOfMapsLoadedLabel(tk.Label):
def __init__(self, master=None):... | chickenservice/homm3_hota_map_searcher | h3map/gui/gui.py | gui.py | py | 4,520 | python | en | code | 1 | github-code | 90 |
70049408937 | # SRI AHMAD TSAQIF
# AKIP TSAQIF
import pandas as pd
from sklearn.feature_extraction.text import TfidfVectorizer
from nltk.corpus import stopwords
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('expand_frame_repr', False)
# Example words
d1 = 'Shipment of gold damage... | AkipTsaqif/TFIDF-Algorithm | main.py | main.py | py | 3,670 | python | en | code | 0 | github-code | 90 |
24883696878 | import pyspiel
import numpy as np
_SIZE = 6
_NEEDED = 4
_MARK_EMPTY = 0
_MARK_X = 1
_MARK_O = 2
_GAME_TYPE = pyspiel.GameType(
short_name="ttt",
long_name=f"Tic-Tac-Toe {_SIZE}x{_SIZE}",
dynamics=pyspiel.GameType.Dynamics.SEQUENTIAL,
chance_mode=pyspiel.GameType.ChanceMode.DETERMINISTIC,
infor... | bodnara/ttt-rl-test | game.py | game.py | py | 5,915 | python | en | code | 0 | github-code | 90 |
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