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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
13058059804 | from string import printable
from keras.models import Model, load_model
from keras import regularizers
from keras.layers.core import Dense, Dropout, Lambda
from keras.layers import Input, ELU, Embedding, \
BatchNormalization, Convolution1D,concatenate
from keras.preprocessing import sequence
from keras.optimizers im... | larranaga/phishing-url-detection | CNNC.py | CNNC.py | py | 3,833 | python | en | code | 5 | github-code | 36 |
75075870824 | from __future__ import unicode_literals
import frappe
from frappe.utils.make_random import add_random_children, get_random, how_many, can_make
from frappe.utils import cstr
from erpnext.setup.utils import get_exchange_rate
from erpnext.accounts.party import get_party_account_currency
def run_sales(current_date):
if ... | frappe/erpnext_demo | erpnext_demo/selling.py | selling.py | py | 2,758 | python | en | code | 2 | github-code | 36 |
2744395369 | # 第一列不能有 4
import pandas as pd
import numpy as np
TRUTH_PATH = "/Users/luminshen/Documents/代码/PycharmProjects/Research/-GAN-/Table-GAN/tableGAN/data/Adult/Adult.csv"
SAVE_PATH = "./data_with_rule_single_rule.csv"
def single_cell_rule():
file = pd.read_csv(TRUTH_PATH, sep=',')
file = list(np.array(file))
... | lums199656/Research | rules/去除违反 rules 的数据.py | 去除违反 rules 的数据.py | py | 2,786 | python | en | code | 1 | github-code | 36 |
25822228264 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
def ui_input() -> str:
"""This function takes player's cards"""
return input('Enter all your cards (with spaces): ')
def blackjack(cards: str) -> int:
"""This function counts points"""
cards_values = { '2': 2, '3': 3, '4': 4,
'5': 5, ... | LiudaShevliuk/python | lab9_1.py | lab9_1.py | py | 1,178 | python | en | code | 0 | github-code | 36 |
31062929205 |
from ..utils import Object
class ChatStatisticsMessageSenderInfo(Object):
"""
Contains statistics about messages sent by a user
Attributes:
ID (:obj:`str`): ``ChatStatisticsMessageSenderInfo``
Args:
user_id (:obj:`int`):
User identifier
sent_message_count (:obj:... | iTeam-co/pytglib | pytglib/api/types/chat_statistics_message_sender_info.py | chat_statistics_message_sender_info.py | py | 1,244 | python | en | code | 20 | github-code | 36 |
471364125 | # Adapted from https://github.com/mimoralea/gdrl
from helpers.utils.action_selection import GreedyStrategy, NormalNoiseStrategy
from helpers.utils.priority_replay import Memory
from helpers.nn.network import FCQV, FCDP
from itertools import count
import torch.optim as optim
import numpy as np
import torch
import time
i... | Oreoluwa-Se/Continuous-Control | helpers/agent.py | agent.py | py | 16,852 | python | en | code | 0 | github-code | 36 |
6245629363 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
class PyTest(TestCommand):
ptest_args = []
def initialize_options(self):
TestCommand.initialize_options(self)
self.pytest_args = []
def run(self):
import p... | magichan-lab/PyIEProxy | setup.py | setup.py | py | 1,119 | python | en | code | 0 | github-code | 36 |
33675586325 | #!/usr/bin/env python
# coding: utf-8
# In[44]:
import re
import pickle
from sklearn_crfsuite import CRF
from sklearn_crfsuite import metrics
from sklearn_crfsuite import scorers
# In[45]:
def parse(input_):
tags = []
lexicons = []
lemma = []
pos= []
sentences = input_.split("\n\n")
for s... | hellomasaya/linguistics-data | assgn4/annCorraCRFModel.py | annCorraCRFModel.py | py | 3,577 | python | en | code | 0 | github-code | 36 |
28801077672 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 1 09:03:59 2018
@author: a001985
"""
import logging
import pathlib
#==========================================================================
def add_log(log_id=None, log_directory=None, log_level='DEBUG', on_screen=True, prefix='log_ekostat'):
"""
log... | ekostat/ekostat_calculator | core/logger.py | logger.py | py | 3,803 | python | en | code | 1 | github-code | 36 |
72573548584 | import torch
import torchaudio
import glob
from torch.utils.data import Dataset
from utils.signal_processing import get_rnd_audio,extract_label_bat
from pandas import read_csv
from os import path
class raw_audio_dataset(Dataset):
def __init__(self,wav_dir, annotation_file, input_size, transform=None, target_t... | ArthurZucker/PAMAI | datasets/raw_audio_dataset.py | raw_audio_dataset.py | py | 1,409 | python | en | code | 5 | github-code | 36 |
36121229353 | import os
from typing import Any, Iterator, Dict, Set
from forte.data.data_pack import DataPack
from forte.data.data_utils_io import dataset_path_iterator
from forte.data.base_reader import PackReader
from ft.onto.base_ontology import Document
__all__ = [
"PlainTextReader",
]
class PlainTextReader(PackReader):
... | asyml/forte | forte/data/readers/plaintext_reader.py | plaintext_reader.py | py | 1,931 | python | en | code | 230 | github-code | 36 |
7045186193 | #!/usr/bin/python3
import argparse
import orbslam2
import os
import cv2
from time import sleep
def build_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--vocab', type=str, required=True)
parser.add_argument('--config', type=str, required=True)
parser.add_argument('--seq', type=str... | cds-mipt/iprofihack | baselines/orbslam2/scripts/run_orbslam2_stereo.py | run_orbslam2_stereo.py | py | 2,114 | python | en | code | 3 | github-code | 36 |
541220899 | # Реализация класса
class People:
# Инициализируем человека
def __init__(self, name="", surname="", age=0, gender="male"):
self.name = name
self.surname = surname
self.age = age
self.gender = gender
def print_info(self):
# Прописываем информацию о человеке
p... | FRFGreyFox/artificial_intelligence | Lectors/OOP.py | OOP.py | py | 2,807 | python | en | code | 1 | github-code | 36 |
11316424779 | import json
import re
from pprint import pprint
with open('yc_feed.json') as data_file:
data = json.load(data_file)
i = 0
c = 0
for hundredmessages in data:
hm_plain_text = json.dumps(hundredmessages)
match = re.search(r'hackathon', hm_plain_text)
if match:
for msg in hundredmessages['data']:
msg_... | adamhipster/hackathon_website | python_fb_group_crawls/parse_fb_feed_data.py | parse_fb_feed_data.py | py | 530 | python | en | code | 0 | github-code | 36 |
38895942898 | from sys import argv, exit
from pygmail.types import Account, Label
if __name__ == "__main__":
account = Account.from_environment(load_labels=True)
label_file = argv[1]
if not label_file:
print("Usage: remove_labels.py <input_file>")
exit(1)
label_names = None
with open(argv[1]) ... | sk3l/pygmail | examples/remove_labels.py | remove_labels.py | py | 881 | python | en | code | 0 | github-code | 36 |
27769169402 | import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
class XyjjSpider(CrawlSpider):
name = 'xyjj'
# allowed_domains = ['www.ccc.com']
start_urls = ['https://www.xyshjj.cn/list-1487-1489-0.html']
# page链接与其他链接相似度过高 rules不起作用，放弃。
rules = (
... | kshsky/PycharmProjects | dataFile/scrapy/ace/xxjjCrawl/xxjjCrawl/spiders/xyjj.py | xyjj.py | py | 992 | python | en | code | 0 | github-code | 36 |
28068050082 | # 보물섬
# https://www.acmicpc.net/problem/2589
from collections import deque
import copy
def bfs(treasure_map, x, y, n, m) :
copy_map = copy.deepcopy(treasure_map)
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
# 시작 지점과 탐색해나가는 지점과의 거리 저장 변수
count = 0
queue = deque([[x, y, count]])
copy_map[x][y] = ... | hwanginbeom/algorithm_study | 1.algorithm_question/6.BFS/131.BFS_wooseok.py | 131.BFS_wooseok.py | py | 1,279 | python | ko | code | 3 | github-code | 36 |
74627444265 | def solution(array):
print(array[-1])
if array == []:
return 1
else:
if len(array) < 3:
return array[0] - 1
else:
array.sort()
for i in range(0, len(array) - 1):
if array[0] > 1:
return 1
elif array[-1] != len(array) + 1:
return len(array) + 1
... | diegosadrinas/Code-Tests | Codility/PermMissingElem/PermMissingElem.py | PermMissingElem.py | py | 407 | python | en | code | 1 | github-code | 36 |
14247830669 | """
Author: Todd Zenger, Brandeis University
The purpose of this program is to show some
basics of functions.
"""
"""
First, we can put something in, and get a value out
NOTICE: you are responsible to figure out what data type you are
passing into the function and what type you are spitting out
"""
def f(x):
y = ... | ToddZenger/PHYS19a | tutorial/lesson01/functions.py | functions.py | py | 2,132 | python | en | code | 1 | github-code | 36 |
34848625388 | from __future__ import absolute_import
from __future__ import unicode_literals
__version__ = '0.5.0'
from markdown import Extension
from markdown.treeprocessors import Treeprocessor
class MDXReplaceImageSrcTreeprocessor(Treeprocessor):
def __init__(self, md, config):
super(MDXReplaceImageSrcTreeprocesso... | twardoch/markdown-steroids | mdx_steroids/replimgsrc.py | replimgsrc.py | py | 1,313 | python | en | code | 3 | github-code | 36 |
40272343197 | from __future__ import absolute_import, division, print_function
import base64
import json
import os
import time
import requests
import urllib.request
from urllib.request import Request, urlopen
from uuid import UUID
from beets import config
import beets.library
from beets.plugins import BeetsPlugin
from pathlib imp... | peace899/beets2kodi | beetsplug/kodinfo.py | kodinfo.py | py | 18,692 | python | en | code | 1 | github-code | 36 |
72582014823 | import spotipy
import openai
import json
import argparse
import datetime
from dotenv import load_dotenv
import os
load_dotenv()
openai.api_key = os.environ.get("OPENAI_API_KEY")
parser = argparse.ArgumentParser(description="Enkelt commandline verktøy")
parser.add_argument("-p", type=str, default="AI genert liste",he... | donadelicc/MySpotify | utils/local_app.py | local_app.py | py | 3,072 | python | en | code | 0 | github-code | 36 |
40129073796 | from openpydss.opendss.model.dssobject import DSSObject
class Transformer(DSSObject):
def __init__(
self,
phases="3",
windings="2",
wdg="1",
bus="transformer_1",
conn="wye ",
kV="12.47",
kVA="1000",
tap="1"... | munizrodrigo/openpydss | openpydss/opendss/model/transformer.py | transformer.py | py | 3,379 | python | en | code | 0 | github-code | 36 |
9104252011 | ##annealing.py
# this python script bruteforces swaps until N iterations are reached. best is saved and shown
from classes.bucket import Bucket
from classes.target import Target
from classes.generate import Generate
from similarity import Similarity, Delta
from random import random
from math import exp
def Annealing... | porcherface/mosaic-bot | code/annealing.py | annealing.py | py | 2,675 | python | en | code | 0 | github-code | 36 |
40558916970 | #!/usr/bin/python3
def roman_to_int(roman_string):
if roman_string is None or isinstance(roman_string, str) is not True:
return 0
dicta = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100,
'D': 500, 'M': 1000}
tot = 0
prev = 0
for let in roman_string:
if let not in dicta:... | kofikorang12/alx-higher_level_programming | 0x04-python-more_data_structures/12-roman_to_int.py | 12-roman_to_int.py | py | 574 | python | tr | code | 0 | github-code | 36 |
29647730897 | import os
import sys
import subprocess
BASE_PATH = os.getcwd() #python folder
def drugbank_search(query):
content = []
os.chdir("./../java_lucene_index")
#process = subprocess.Popen(['ls'], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
process = subprocess.Popen("./launch.sh drugbank "+query, sh... | Hamza-ABDOULHOUSSEN/gmd2k22 | python/drugbank/drugbank_index_query.py | drugbank_index_query.py | py | 1,259 | python | en | code | 0 | github-code | 36 |
42215123133 | import json
import os
import datetime
import scipy.optimize
import sklearn.metrics
import aop
import aop.api
class DailyIndexPrediction:
def __init__(self):
# read the config.json in the current directory
with open(os.path.dirname(__file__) + '/config.json', 'r') as file_obj:
self.... | Silence-2020/mt-prediction | daily_index_prediction.py | daily_index_prediction.py | py | 9,807 | python | en | code | 0 | github-code | 36 |
30910231452 | import sys
from PyQt5 import uic
from PyQt5.QtGui import QPainter, QColor
from PyQt5.QtWidgets import QWidget, QApplication, QPushButton, QMainWindow
from random import randint
class MyWidget(QMainWindow):
def __init__(self):
super().__init__()
uic.loadUi('Ui.ui', self)
self.do_paint = Fa... | Dathator/Git- | main.py | main.py | py | 870 | python | en | code | 0 | github-code | 36 |
14247809149 | """
Author: Todd Zenger, Brandeis University
The purpose of this code is to figure out how to bring
the mean of two values of a large range down
"""
import numpy as np
# Method 1: simply use variables to continuously check
# Our two values
x1 = 3
x2 = 555
# The number of times we add 2
n = 0
# We want this loop to... | ToddZenger/PHYS19a | challenge/challenge-00-02.py | challenge-00-02.py | py | 1,043 | python | en | code | 1 | github-code | 36 |
39276214746 |
import numpy as np
import tensorflow as tf
class TFModel(object):
# Define and initialize the TensorFlow model, its weights, initialize session and saver
def __init__(self, shape, learning_rate, alpha, regularization_rate,
implicit, loss, log_weights, fit_intercepts, optimizer,
... | twolodzko/tfmf | tfmf/tf_model.py | tf_model.py | py | 7,146 | python | en | code | 9 | github-code | 36 |
74469828583 | #! /usr/bin/env python3
import logging
import os
import tempfile
log = logging.getLogger(__name__)
def download_to_disk(config, object_ref):
log.debug('Moving file from {} to temporary file'.format(object_ref))
fd, path = tempfile.mkstemp(os.path.splitext(object_ref)[-1])
os.write(fd, open(object_ref, '... | mabruras/sqapi | src/sqapi/query/content/disk.py | disk.py | py | 367 | python | en | code | 2 | github-code | 36 |
8786926229 | from .abstract import Aggregator
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support.ui i... | t-bucchi/accagg | accagg/bank/sbinetbank.py | sbinetbank.py | py | 10,622 | python | en | code | 0 | github-code | 36 |
21821135553 | # F*ck implementation problems
# Ab to kaam hoja bsdk
# Adding comments so it might be helpful to someone
## Moral: Don't watch IPL during contest
from collections import Counter
for _ in range(int(input())):
n = int(input())
lis = list(map(int, input().split()))
## Check for NO condition
counter = Counter... | sainad2222/my_cp_codes | codeforces/1433/D.py | D.py | py | 1,155 | python | en | code | 0 | github-code | 36 |
44638762028 | # **************************************************************************** #
# #
# ::: :::::::: #
# stockholm.py :+: :+: :+: ... | Mankestark/Proyectos-terminados-bootcamp-ciberseguridad | stockholm/stockholm.py | stockholm.py | py | 7,398 | python | uk | code | 0 | github-code | 36 |
22192834373 | def convert_to_binary(tmp):
flag = False
s = ''
while not flag:
if tmp < 2:
s += str(tmp)
flag = True
else:
s += str(tmp % 2)
tmp = int(tmp / 2)
print(f'Овтет: {s[::-1]}')
def start_task():
print('\nЗадача 4: Перевод в двоичную\n' +
... | Minions-Wave/GB-Minions-Wave | The Big Brain Solutions/Personal Zone/NighTramp Solutions/Blok 2/Python/HomeWork/Seminar003/task_4.py | task_4.py | py | 611 | python | ru | code | 2 | github-code | 36 |
26281206663 | #!/usr/bin/env python3
# coding:utf-8
import os,hashlib
import shutil
import subprocess
from datetime import datetime
import nacos
import yaml
from apscheduler.schedulers.blocking import BlockingScheduler
from dotenv import load_dotenv, find_dotenv
# load .env file
load_dotenv(find_dotenv(), override=True)
SERVER_A... | GounGG/nacos-client-py | nacos-get-config.py | nacos-get-config.py | py | 2,424 | python | en | code | 1 | github-code | 36 |
2708690996 | from src.GameLogic.GenericGameLogic import GenericGameLogic
class FightCycle(GenericGameLogic):
def __init__(self, printMethod, data):
super().__init__(printMethod,data)
self.turn_order = None
self.current_character = None
self.index = 0
async def getMessage(self, message, act... | dndiscord/dndiscord | src/GameLogic/FightCycle.py | FightCycle.py | py | 1,751 | python | en | code | 0 | github-code | 36 |
22359845771 | def set_cover(universe, subsets):
"""Find a family of subsets that covers the universal set"""
elements = set(e for s in subsets for e in s)
# Check the subsets cover the universe
if elements != universe:
return None
covered = set()
cover = []
# Greedily add the subsets with the most... | LokeshNaidu8/MSc_Practicals | Practicals/Algorithm/setCover.py | setCover.py | py | 941 | python | en | code | 1 | github-code | 36 |
38054510986 | import accept
import logging
from aiohttp import web, web_exceptions
from aiohttp_swagger import setup_swagger
from model import ClientModel, ItemNotFoundException
from protocol import *
from prometheus_client import REGISTRY, exposition
from urllib.parse import parse_qs
from voluptuous import MultipleInvalid
class ... | weierstrass54/sb_rest | api.py | api.py | py | 12,166 | python | en | code | 0 | github-code | 36 |
72447544744 | #!/usr/bin/python -tt
# -*- coding: utf-8 -*-
# Examen LAGRS, diciembre 2018
# NOMBRE: Jorge Luzon Lopez
# LOGIN: jluzon
import telepot
import telepot.namedtuple
import time
import subprocess,sys
import os
from telepot.loop import MessageLoop
from optparse import OptionParser
PUERTOS_TCP = [6666 , 443 , 7899]
def r... | jluzonlopez/Largs | extralagrs/vigila_puertos.py | vigila_puertos.py | py | 1,538 | python | en | code | 0 | github-code | 36 |
31608746342 | import torch
from torch import nn
from torch.autograd import Variable
class topk_crossEntrophy(nn.Module):
def __init__(self, top_k=0.7):
super(topk_crossEntrophy, self).__init__()
self.loss = nn.NLLLoss()
self.top_k = top_k
self.softmax = nn.LogSoftmax()
return
... | Forrest0503/VAT-ABAW | ohem_loss.py | ohem_loss.py | py | 987 | python | en | code | 0 | github-code | 36 |
5106024377 | import re
import json
import base64
import pandas as pd
import networkx as nx
from textblob import TextBlob
from collections import defaultdict
from arabic_reshaper import reshape
from bidi.algorithm import get_display
from requests_toolbelt.multipart import decoder
def generate_hashtag_data(file_path):
# Read th... | kashif-ghafoor/twitter-scrap-infa | src/hashtagAnalysis/index.py | index.py | py | 6,609 | python | en | code | 0 | github-code | 36 |
13070129833 | import math
def roundPrice(A):
# attention: in python3, round(1.5) = 1 !!!
def round(x):
fac = x - math.floor(x)
return math.ceil(x) if fac >= 0.5 else math.floor(x)
if not A:
return A
roundSum = sum(map(round, A))
sumRound = round(sum(A))
print(roundSum)
print(sumRo... | Jason003/Interview_Code_Python | Airbnb/roundPrice.py | roundPrice.py | py | 1,203 | python | en | code | 3 | github-code | 36 |
22577716879 | '''
Created on May 29, 2017
@author: hfrieden
Export ASC DEM files
'''
import struct
import bpy
import bmesh
import os.path as path
import ArmaToolbox
from math import sqrt
def vertIdx(x,y,ncols, nrows):
return y*ncols + x
def exportASC(context, fileName):
filePtr = open(fileName, "wt")
obj = context.o... | AlwarrenSidh/ArmAToolbox | ArmaToolbox/ASCExporter.py | ASCExporter.py | py | 1,167 | python | en | code | 70 | github-code | 36 |
29757178996 | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def isUnivalTree(self, root):
"""
:type root: TreeNode
:rtype: bool
"""
unival = ... | hrithikguy/leetcode | 965_univalued_binary_tree.py | 965_univalued_binary_tree.py | py | 632 | python | en | code | 0 | github-code | 36 |
34530261292 | from __future__ import absolute_import
import hashlib
import json
import os
import re
import socket
from mercurial.i18n import _
from mercurial import (
error,
pathutil,
url as urlmod,
util,
vfs as vfsmod,
worker,
)
from ..largefiles import lfutil
# 64 bytes for SHA256
_lfsre = re.compile(r... | bruno-oliveira/twilioHackathon-whats-around-me | env/lib/python2.7/site-packages/hgext/lfs/blobstore.py | blobstore.py | py | 17,091 | python | en | code | 0 | github-code | 36 |
12080392849 | chemin = "C:/python/prenom.txt"
chemin_clean = "C:/python/prenom_clean_correction.txt"
with open(chemin, "r") as f:
lines = f.read().splitlines()
prenoms = []
for line in lines:
prenoms.extend(line.split())
prenoms_final = [prenom.strip(",. ") for prenom in prenoms]
with open(chemin_clean, "w") as f:
f.... | yunus-gdk/python_beginner | trier_liste_noms_correction.py | trier_liste_noms_correction.py | py | 360 | python | en | code | 0 | github-code | 36 |
40751695822 | import pandas as pd
import glob
import numpy as np
import os
col_names = ['date','shop','item', 'unit', 'value']
month ='02'
files = []
list_of_files = glob.glob(r'\\lhrnetapp03cifs.enterprisenet.org\rfeprodapp05\InputBackupFiles\CH\Import_M\Monthly-2019-M'
r'M-0{month}\*'.format(month=mon... | owojtek18/CH_retailers | Import_ch.py | Import_ch.py | py | 1,193 | python | en | code | 0 | github-code | 36 |
39687720281 | import networkx as nx, matplotlib.pyplot as plt, numpy as np, copy
import MarkovChain as SMC
from Randomized import *
from time import time
Pps = 0.4 # float(input('Ingrese la probabilidad de que un dispositivo protegido pase a ser susceptible: '))
Psp = 0.3 # float(input('Ingrese la probabilidad de que un dispositi... | Zharet-Bautista-Montes/Markov_Inspector | venv/core/MultipleMC.py | MultipleMC.py | py | 9,302 | python | en | code | 0 | github-code | 36 |
18935365420 | # pylint: disable=too-many-locals, duplicate-code
"""Management command that loads locale .po files into database."""
from __future__ import unicode_literals
import json
from os.path import join, isdir
from django.conf import settings
from django.core.management.base import BaseCommand as LoadCommand, CommandError
fr... | IATI/IATI-Standard-Website | modeltranslation_sync/management/commands/load_trans_nav.py | load_trans_nav.py | py | 3,582 | python | en | code | 5 | github-code | 36 |
11622358382 | def factorial(n: int) -> int:
"""Return the factorial of n, an exact integer >= 0.
Args:
n (int): n!
Returns:
int. The factorial value::
>>> factorial(5)
120
>>> factorial(0)
1
>>> factorial(-1)
Traceback (most recent call last):
...
ValueError: Only no... | UiO-IN3110/UiO-IN3110.github.io | lectures/python/factorial_doctest_exceptions.py | factorial_doctest_exceptions.py | py | 678 | python | en | code | 21 | github-code | 36 |
25971972492 | number=5
if type(number) == int:
print("resultado: ",number*2)
else:
print("El dato no es numerico")
def mensaje (men):
print(men)
mensaje("Mi primer Programa")
mensaje("Miu segundo Programa") | PovedaJose/EjerciciosDePython | Practicas#1/Ejercicio#1.py | Ejercicio#1.py | py | 216 | python | es | code | 1 | github-code | 36 |
17169329371 | import os
import telebot
from dotenv import load_dotenv
import client
load_dotenv()
bot_token = os.getenv('BOT_TOKEN')
admin = os.getenv('TG_ADMIN_ID')
bot = telebot.TeleBot(bot_token)
states_list = ["ADDRESS", "AMOUNT", "CONFIRM"]
states_of_users = {}
@bot.message_handler(commands=['start'])
def start_message(... | Lexxar91/bitcoin_api_bot | tg_bot/bot.py | bot.py | py | 12,039 | python | ru | code | 0 | github-code | 36 |
40568587585 | from datetime import datetime
from typing import Optional
from dcs.mission import Mission
from game.weather.atmosphericconditions import AtmosphericConditions
from game.weather.clouds import Clouds
from game.weather.conditions import Conditions
from game.weather.fog import Fog
from game.weather.wind import WindCondit... | dcs-liberation/dcs_liberation | game/missiongenerator/environmentgenerator.py | environmentgenerator.py | py | 2,028 | python | en | code | 647 | github-code | 36 |
35378767894 | #!/usr/bin/env python3
"""SERVICE YET TO BE IMPLEMENTED. THIS FILE IS JUST A PLACEHOLDER."""
print("Sorry! This service has not yet been implemented\n(will you be the one to take care of it?\n --- RIGHT NOW THIS FILE IS JUST AN HANDY PLACEHOLDER ---")
exit(0)
#!/usr/bin/env python3
from sys import stderr, stdout, e... | romeorizzi/TALight | TAL_utils/problem_maker/templates/service_server_placeholder.py | service_server_placeholder.py | py | 909 | python | en | code | 11 | github-code | 36 |
27435754821 | import os
import pathlib
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imsave, imread
def add_noise(noise_type, image):
if noise_type == "gauss":
shp = image.shape
mean = 0
var = 0.01
sigma = var ** 0.5
gauss = np.random.normal(mean, sigma... | 206081/psio | Lab2/zad1.py | zad1.py | py | 2,703 | python | en | code | 0 | github-code | 36 |
29138207241 |
from random import randint as rand
import pygame
import time
row_max =16
column_max =16
mine_count = 50
square_list = []
square_size = 30
BLACK = (0,0,0)
WHITE = (255,255,255)
BLUE = (0,0,255)
RED = (255,0,0)
pygame.init()
stage = "setup"
check_list = []
screen = pygame.display.set_mode((square... | OOCam1/Minesweeper | Minesweeper.py | Minesweeper.py | py | 19,511 | python | en | code | 0 | github-code | 36 |
8111739008 | import pygame, sys
from pygame.locals import *
class Particle(object):
#Initalizes the paritcle object (called when it is first created)
def __init__(self,X,Y,size,deltaX,deltaY,color, displaySurface):
#surface to display the particle on
self.displaySurface = displaySurface
... | arnavdani/Python-2015-Summer | MyClasses/Particle.py | Particle.py | py | 1,136 | python | en | code | 0 | github-code | 36 |
18672969440 | import pandas as pd
import argparse
import yaml
import os
import io
import json
def retrieve_params(config):
with open(config) as yaml_file:
params= yaml.safe_load(yaml_file)
return params
def generate_metadata_csv(params):
excel_file_path = params["data"]["standard_excel_file"]
df = pd.read... | sagar-harry/Youtube_Trending_data | generate_meta_data_file_2.py | generate_meta_data_file_2.py | py | 1,708 | python | en | code | 0 | github-code | 36 |
24340406630 | """
Variables!
"""
length = 20
breadth = 10
area = length * breadth
print(area)
# legal variables
Area = 10
_area = 10
_Area = 10
area_1 = 10
area1 = 10
# python should use snake-case naming
first_name = 'Akhila'
print(first_name)
#python basic: programming challenge: Money left in the bank after subracting all ... | AkhilaSirikonda/Python-Project | PythonBasics/variables.py | variables.py | py | 489 | python | en | code | 0 | github-code | 36 |
25978420324 | from enum import Enum
class ProxyResponseType(Enum):
proxy = 'proxy'
file = 'file'
json = 'json'
def get_dict(self):
return self.value
class ProxyResponse(object):
def __init__(self,
request,
response,
type: ProxyResponseType,
... | sayler8182/MockServer | app/models/models/proxy_response.py | proxy_response.py | py | 793 | python | en | code | 2 | github-code | 36 |
29317958483 | from keras.utils.data_utils import get_file
import os
import numpy as np
from os import listdir
from os.path import isfile, join, isdir
import cv2
from random import shuffle
import math
from keras.callbacks import TensorBoard, EarlyStopping, ModelCheckpoint, ReduceLROnPlateau, LearningRateScheduler
from keras.models im... | LifengFan/Shared-Attention | src/gazemap.py | gazemap.py | py | 23,892 | python | en | code | 4 | github-code | 36 |
69941827626 | import pickle
import os
import numpy as np
import torch
from sklearn.datasets import make_blobs
from torch.utils.data import Dataset
from torch.utils.data.dataset import T_co
def prepare_blob_dataset(city_num: int = 50,
feature_dim: int = 2,
sample_num: int = 100000... | ma-shangao/rl_waypoint_mrta | dataset_preparation.py | dataset_preparation.py | py | 3,367 | python | en | code | 2 | github-code | 36 |
22107437691 | from blackfox import BlackFox, KerasOptimizationConfig
import csv
blackfox_url = 'http://localhost:50476/'
bf = BlackFox(blackfox_url)
input_columns = 9
input_set = []
output_set = []
with open('data/cancer_training_set.csv') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
fo... | vodena/BlackFoxPython | examples/test_optimize_sync_onnx.py | test_optimize_sync_onnx.py | py | 1,040 | python | en | code | 1 | github-code | 36 |
2360976211 | """
【问题描述】
编写一函数insert(string, c)，用于在一个已排好序（ASCII值从小到大）的字符串string（少于50个字符）中适当位置插入字符c，要求插入后串的序不变（从小到大），允许字符重复，函数返回插入后的字符串。
测试该函数：从键盘分别输入有序字符串和单个字符，然后调用insert函数，并向屏幕输出插入后的字符串。
【输入形式】
从键盘分行输入有序字符串和单个字符
【输出形式】
向屏幕输出插入后的字符串
【输入样例】
abdef
c
【输出样例】
abcdef
【样例说明】
从键盘输入少于50个字符的有序字符串abdef和字符c，将字符c插入字符串abdef，并以ASCII值从小到大排序输出
... | xzl995/Python | CourseGrading/7.1.11插入字符.py | 7.1.11插入字符.py | py | 995 | python | zh | code | 3 | github-code | 36 |
43540671742 | """
"""
import numpy as np
from scipy.signal import find_peaks_cwt
from scipy.ndimage import gaussian_filter1d
def peak_finder(
curve:np.ndarray,
smoothing_factor:float=21.0,
)->np.ndarray:
"""
"""
min_width = int(curve.size/20)
max_width = int(curve.size/5)
resolution = int((max_width... | chriswilly/design_patterns | data_science/misc.py | misc.py | py | 528 | python | en | code | 1 | github-code | 36 |
11249142498 | import torch
import copy
import numpy as np
from torch.nn import Dropout
from torch.nn import Linear
from torch.nn import LayerNorm
from torch.nn import functional as F
from RprMultiheadAttention import MultiheadAttention
def _get_activation_fn(activation):
if activation == "relu":
return F.relu
elif activation =... | perathambkk/lipreading | short1.27fast_nlls_xl_2mem_lattransconv_p_OSL_500_cosine/RprTransformerEncoderLayer.py | RprTransformerEncoderLayer.py | py | 3,370 | python | en | code | 3 | github-code | 36 |
37412068955 | ##############################################################################
#
# File format versions:
#
# 1: initial version
#
# 2: now contains reciprocal planck opacity and rosseland opacity
# previous rosseland opacity was actually reciprocal planck opacity
#
###############################################... | hyperion-rt/hyperion | hyperion/dust/dust_type.py | dust_type.py | py | 31,342 | python | en | code | 51 | github-code | 36 |
71592645224 |
matrix_A = [ [2,0], [3,0]]
matrix_B = [ [1,0], [1,2]]
rows_A = len(matrix_A)
columns_A = len(matrix_A[0])
rows_B = len (matrix_B)
columns_B = len(matrix_B[0])
print(f' m: {rows_A}')
print(f' n: {columns_A}')
print(f' r: {columns_B}')
matrix_C = [[0 for row in range(rows_A)] for columns in range(columns_B)]
print(m... | Gabospa/Matrix | multiplication.py | multiplication.py | py | 688 | python | en | code | 1 | github-code | 36 |
42985186741 | import psycopg2
def create_table(connection):
# il cursore è utillizato esequire comandi e accedere alla risposta
cursor = connection.cursor()
try:
# prepara il comando
create_table_query = '''CREATE TABLE students
(ID SERIAL PRIMARY KEY ,
NAME TEX... | Torla/postgres_ex | main.py | main.py | py | 5,031 | python | en | code | 0 | github-code | 36 |
1947598630 | import util
primes = [2, 3]
d_sum = [0]
def init(n):
i = primes[-1]
while i < n:
i += 2
for num in primes:
if num * num > i:
primes.append(i)
break
if i % num == 0:
break
def decompose(n):
init(n)
fac = {}
i = 0
while n > 1:
if n % primes[i] == 0:
n = int(n / primes[i])
if prime... | liligeng111/Euler_Python | prime.py | prime.py | py | 629 | python | en | code | 1 | github-code | 36 |
35701573370 | from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(899, 563)
MainWindow.setMinimumSize(QtCore.QSize(700, 480))
MainWindow.setStyleSheet("*{\n"
"background:#18162A;\n"
"borde... | MyLongCode/project1 | ui_interface.py | ui_interface.py | py | 19,084 | python | en | code | 0 | github-code | 36 |
15381149189 | import requests
from weather_message import WeatherStation
LINE_URL = 'https://notify-api.line.me/api/notify'
def send_message(token, msg):
headers = {'Authorization': 'Bearer ' + token}
payload = {'message': msg}
response = requests.post(LINE_URL, headers=headers, params=payload)
return re... | shamiOuO/weather_report | Line_notify.py | Line_notify.py | py | 544 | python | en | code | 0 | github-code | 36 |
21123419493 | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, Text, TIMESTAMP
from sqlalchemy import func
Base = declarative_base()
class TestData(Base):
__tablename__ = 'test'
id = Column(Integer, primary_key = True)
data = Column(Text)
created_at = Column(TIMESTAMP... | tosiaki/windyfall_bot | testdata.py | testdata.py | py | 423 | python | en | code | 0 | github-code | 36 |
34341824103 | # -*- coding: utf-8 -*-
from telegram.ext import Updater
from telegram.ext import CommandHandler
from telegram.ext import MessageHandler, Filters
from telegram.ext.dispatcher import run_async
from telegram import ReplyKeyboardMarkup, ReplyKeyboardRemove, KeyboardButton
import telegram
from emoji import emojize, demojiz... | c4software/laurence-bot | telegram_start.py | telegram_start.py | py | 5,247 | python | en | code | 1 | github-code | 36 |
25175834547 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 2 17:19:48 2023
@author: acomeau
"""
import matplotlib.pyplot as plt
import time
import numpy as np
import math
x=np.zeros((1,100))
x1=np.zeros((1,100))
x2=np.zeros((1,100))
for timeSetepNdx in range(1,100):
x[0,timeSetepNdx]=timeS... | adriencomeau/Telescopium | untitled1.py | untitled1.py | py | 749 | python | en | code | 0 | github-code | 36 |
9742849940 |
import random , math, time
from threading import Barrier, Thread
# A barrier for 5 thraeds
barrier = Barrier(5)
start_time = math.floor(time.perf_counter())
# person_in_mall is target of threads created to represent persons
def person_in_mall(name, arrival, visit):
# sleep for 'arri... | nilanjana123/Programming_lab | lab4/Q4.py | Q4.py | py | 2,038 | python | en | code | 1 | github-code | 36 |
70506020904 | #importing libraries
import pandas as pd
from selenium import webdriver # for webdriver
from selenium.common.exceptions import NoSuchElementException # for exception handling
import time # for delay
# setting platform for selenium
path = r'C:\Users\haqab\Desktop\DS\chromedriver.exe'
driver = webdriver.Chrome(path)
... | Abdulhaq005/Web-Scraping-scrapy-and-selenium- | cars/spiders/selenium_script.py | selenium_script.py | py | 3,645 | python | en | code | 0 | github-code | 36 |
72177063783 | import json
import traceback
from flask import Blueprint, jsonify
from bson.json_util import dumps
from models.users import User
get_users_blueprint = Blueprint("get_users_blueprint", __name__)
@get_users_blueprint.route("/get-users")
def get_users():
try:
users = User.find(User.record_status=="ALIVE").a... | emacliam/REDIS-HACKERTHON---CRM | CRM BACKEND/controllers/users/get_users.py | get_users.py | py | 947 | python | en | code | 0 | github-code | 36 |
12532422975 | """empty message
Revision ID: 8f71e60633a3
Revises: 2e7679aa003d
Create Date: 2023-01-24 23:57:44.856118
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '8f71e60633a3'
down_revision = '2e7679aa003d'
branch_labels = None
depe... | lusferror/SugestionCties | src/migrations/versions/8f71e60633a3_.py | 8f71e60633a3_.py | py | 1,087 | python | en | code | 0 | github-code | 36 |
17393417065 | import sqlite3
import constants
#from constants import insert_base_user
DB_NAME = "vehicle_management.db"
db = sqlite3.connect(DB_NAME)
db.row_factory = sqlite3.Row
c = db.cursor()
#
# insert_base_user = """
# INSERT INTO BASE_USER (user_name, email, phone_number, address)
# VALUES (:user_name, :email,... | bonevb/HackBulgaria-Programming101-Python-2018 | week10/01-Vehicle-Repair-Manager/mechanic.py | mechanic.py | py | 1,904 | python | en | code | 0 | github-code | 36 |
69953437863 | #!/usr/bin/env python
#-*- encoding: gbk -*-
import time
def time_now(time_id):
feedback = None
T=int(time.time())
if time_id==2 or time_id==3:
T+=86400
elif time_id==4 or time_id==5:
T+=172800
elif time_id==6 or time_id==7:
T+=259200
elif time_id==8 or time_id==9:
... | Jackeriss/Companions | the_time.py | the_time.py | py | 3,041 | python | en | code | 16 | github-code | 36 |
7573894871 | from tkinter import *
import math
# ---------------------------- CONSTANTS ------------------------------- #
PINK = "#e2979c"
RED = "#e7305b"
GREEN = "#9bdeac"
YELLOW = "#f7f5dd"
FONT_NAME = "Courier"
WORK_MIN = 25
SHORT_BREAK_MIN = 5
LONG_BREAK_MIN = 20
reps=0
timer=None
# ---------------------------- TIMER RESET ----... | EwezuNgim/The_Shadow_Monarch | Pomodoro_main.py | Pomodoro_main.py | py | 2,527 | python | en | code | 0 | github-code | 36 |
29028425647 | import json
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
from torchvision import transforms
from src.constants import (
DICT_CLASS,
EMB_ARRAY,
EMBEDDINGS,
METADATA,
NUM_CLOSEST_PLOT,
NUMBER_RANDOM_IMAGES,
PREDICTION,
SKETCHY,
TUBERL... | VisiumCH/AMLD-2021-Sketchy | src/models/inference/inference.py | inference.py | py | 9,160 | python | en | code | 0 | github-code | 36 |
31987030282 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
import contextlib
import os
import zipfile
import os.path
import yaml
import json
applets_index = []
@contextlib.contextmanager
def change_dir(path):
old_path = os.getcwd()
os.chdir(path)
yield
os.chdir(old_path)
def read_applet_config(applet_path) -> ... | jumpserver/applets | build.py | build.py | py | 2,560 | python | en | code | 9 | github-code | 36 |
29261172588 | import xml.etree.ElementTree as ET
def xml_parse(file_byte):
def get_recursive(parent):
res = {}
if not parent.getchildren():
res[parent.tag] = ''
return res
res[parent.tag] = []
for child in parent:
if child.getchildren():
res[p... | oktavianustjoea/ap-app | xml_converter/utils.py | utils.py | py | 529 | python | en | code | 0 | github-code | 36 |
35291375172 | """
Created on Tue Apr 26 20:17:37 2022
@author: celiaberon
"""
import os
import numpy as np
import pandas as pd
import scipy
from nta.features.select_trials import match_trial_ids
from nta.preprocessing.signal_processing import snr_photo_signal
def QC_included_trials(ts: pd.DataFrame,
tria... | celiaberon/neural-timeseries-analysis | nta/preprocessing/quality_control.py | quality_control.py | py | 12,580 | python | en | code | 0 | github-code | 36 |
26626844923 | import astropy.units as u
from astropy.coordinates.sky_coordinate import SkyCoord
from astropy.units import Quantity
from astropy.io.votable import parse
from astropy.table import Table
from matplotlib.colors import LogNorm
import matplotlib.pyplot as plt
import numpy as np
extra_data = np.genfromtxt("Data/Mean_extinc... | spacer730/Gaia_research | Queries-CM-Diagrams/CM-Diagram-corrected_mean_AG-EBminR .py | CM-Diagram-corrected_mean_AG-EBminR .py | py | 2,142 | python | en | code | 0 | github-code | 36 |
31850440252 | import matplotlib.pyplot as plt
import numpy as np
# x axis
u = np.arange(0.0,2.74,0.01,dtype=np.cdouble)
v = np.arange(2.74,5.0,0.01,dtype=np.cdouble)
x = np.arange(0.0,5.0,0.01,dtype=np.cdouble)
y = np.arange(0.0,3.83,0.01, dtype=np.cdouble)
z = np.arange(3.83,5.0,0.01, dtype=np.cdouble)
# y axis
def f(t, option =... | cesaregarza/QMResearch | plotter.py | plotter.py | py | 1,812 | python | en | code | 0 | github-code | 36 |
27663638173 | from typing import List
class Solution:
def isPalindrome(self, s: str) -> bool:
s1 = ''.join(ch for ch in s if ch.isalnum()).lower()
s2 = s1[::-1]
return s1 == s2
def isPalindrome(self, s: str) -> bool:
s1 = ''.join(ch for ch in s if ch.isalnum()).lower()
s2 = s1[::-1]
... | robertCho/LeetCode | Multiple Points/E125 Valid Palindrome.py | E125 Valid Palindrome.py | py | 583 | python | en | code | 0 | github-code | 36 |
72215373865 | # Download the helper library from https://www.twilio.com/docs/python/install
from twilio.rest import Client
# Your Account Sid and Auth Token from twilio.com/console
# DANGER! This is insecure. See http://twil.io/secure
account_sid = 'AC3f72ddfebffe2adae5b4efe0c6d9c9b6'
auth_token = 'd45d3fcfab5be3e08985b77a3fd13103'... | leemengwei/tasty_shrimp_skype | phone_with_twilio.py | phone_with_twilio.py | py | 1,069 | python | en | code | 1 | github-code | 36 |
40861542036 | import numpy as np
from typing import List, Dict
from math import ceil
def _valleys(hist: Dict[int, int]) -> List[int]:
"""
Find the valleys of a histogram of gray levels
Arguments:
hist frequencies in the histogram of gray levels 0,1,...,L-1 (dictionary)
Value:
valleys returns ... | image-multithresholding/Image-multithresholding | src/image_multi_thresholding/thresholding_windows.py | thresholding_windows.py | py | 2,140 | python | en | code | 1 | github-code | 36 |
15851928871 | # python3
phbook = {}
n = int(input())
for i in range(n):
query = input().split()
command = query[0]
number = query[1]
if command == "add":
name = query[2]
phbook[number] = name
if command == "del":
if number in phbook:
phbook.pop(number)
if... | DA-testa/phone-book-DenissBondars | main.py | main.py | py | 461 | python | en | code | 0 | github-code | 36 |
1141324769 | import re
import base64
import math
from glob import glob
from getpass import getpass
from pprint import pprint
from marshals.interface import api
import tns.sedm_auto_tns as tns
fritz_base_url = 'https://fritz.science/api/'
fritz_classification_url = fritz_base_url + 'classification'
fritz_redshift_update_url = frit... | scizen9/sedmpy | fritz/fritz_commenter.py | fritz_commenter.py | py | 14,311 | python | en | code | 5 | github-code | 36 |
625331659 | import os
import time
from io import BytesIO
import aiohttp
import asyncio
import requests
from PIL import Image
from lxml import etree
# import pandas as pd
class Spider(object):
"""
下载路径在实例化时候指定，比如:r'd:\test\\'，这个目录如果不存在，会出错。
如果想给文件名加前缀，只要在目录下加前缀就行，比如:r'd:\test\abc',那么生成的文件前面都有abc
默认路径为当前文件下的down... | chenxy2022/long | wow.py | wow.py | py | 7,151 | python | en | code | 0 | github-code | 36 |
72547899303 | from tools.build_utils import *
import os, shutil
import argparse
def main():
# Command line parser options
parser = argparse.ArgumentParser(
formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument(
'--tf_version',
type=str,
help="TensorFlow tag/branch/SHA\n",
... | openvinotoolkit/openvino_tensorflow | build_tf.py | build_tf.py | py | 4,841 | python | en | code | 176 | github-code | 36 |
1908225099 | print("Enter the last digit of the serial number")
serial = int(input())
serialeven = False
if serial % 2 == 0:
serialeven = True
print("Enter the number of batteries on the bomb:")
batteries = int(input())
print("Does the bomb have a parallel Port?(y/n)")
hasParallel = False
a = input()
if a == "y":
hasPara... | TimoLob/KTANE-Bot | complicatedcable.py | complicatedcable.py | py | 671 | python | en | code | 0 | github-code | 36 |
28078901449 | # coding: utf-8
# Your code here!
n = int(input().rstrip())
class Node:
__slots__ = ['key', 'left', 'right', 'parent']
def __init__(self, key):
self.key = int(key)
self.left = self.right = self.parent = None
root = None
def insert(node):
global root
y, x = None, root
while ... | negiandleek/til | aoj/ALDS1_8_A_Binary_Search_Tree_III.py | ALDS1_8_A_Binary_Search_Tree_III.py | py | 2,320 | python | en | code | 0 | github-code | 36 |
3026799734 | # -*- coding: utf-8 -*-
import arcpy,math
import pandas as pd
import numpy as np
import uuid,json,datetime,sys,csv,os
from scipy.spatial import distance_matrix
arcpy.env.overwriteOutPut = True
from Basic_Tools import *
from Engine_class import Layer_Engine
print_arcpy_message('# # # ... | medad-hoze/EM_3 | Old/Engine_main.py | Engine_main.py | py | 3,885 | python | en | code | 0 | github-code | 36 |
13019170409 | import torch
import math
from torch import nn
import torch.nn.functional as F
# Objective: learn embedding vector for each "relative" position
# Steps: (1) Identify matrix of possible relatives (sent_len, sent_len) "clamped values"
# (2) Identify embedding vector with possible vocabs of relatives (vocab, emb)
... | hosnaa/bert-implement | src/relative_position.py | relative_position.py | py | 10,928 | python | en | code | 0 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.