seq_id stringlengths 7 11 | text stringlengths 156 1.7M | repo_name stringlengths 7 125 | sub_path stringlengths 4 132 | file_name stringlengths 4 77 | file_ext stringclasses 6
values | file_size_in_byte int64 156 1.7M | program_lang stringclasses 1
value | lang stringclasses 38
values | doc_type stringclasses 1
value | stars int64 0 24.2k ⌀ | dataset stringclasses 1
value | pt stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
5033653307 | from django.test import TestCase
from django.contrib.auth.models import User
from django.conf import settings
from unittest.mock import Mock, patch
from unittest import mock
from twilio.rest import Client
from help.models import Group, Event, UserProfile
from help.forms import RegisterForm, UserForm, GroupForm, Contact... | davidbarat/P13 | needhelp/help/tests/test_forms_models.py | test_forms_models.py | py | 3,779 | python | en | code | 0 | github-code | 6 |
23474940192 | from random import randint
x=randint(0,9)
tentative=3
while int(tentative) > int(x):
y=input("saisir la réponse")
if int(y)==int(x):
print("bravo, vous avez gagné")
| Doumachelsea/Monprojetpython | troisessais.py | troisessais.py | py | 183 | python | fr | code | 0 | github-code | 6 |
1883937681 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 10 21:31:20 2021
@author: Scott
"""
# %% Set up
import pandas as pd
import numpy as np
import os
import glob
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
# import plotly.graph_objects as go
from matplotlib.collections import PatchCollection
from mat... | sckilcoyne/Election_Results | cambridge.py | cambridge.py | py | 8,768 | python | en | code | 0 | github-code | 6 |
22423126020 | import streamlit as st
import pandas as pd
import numpy as np
import pickle
import librosa
import csv
import os
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import LabelEncoder
#from audio_recorder_streamlit import audio_recorder
# def predict_age(audio_bytes):
# input = librosa.cor... | DirectorOfUnskillful/Music_Genre_Classification | app1.py | app1.py | py | 7,405 | python | en | code | 0 | github-code | 6 |
32741269203 | import matplotlib.pyplot as plt
import numpy as np
def main():
edges = np.array([
(0, 1), (0, 5), (1, 2), (2, 6), (3, 7), (3, 8), (3, 11), (4, 0), (5, 2),
(5, 4), (5, 6), (5, 10), (8, 7), (8, 12), (9, 10), (10, 11), (12, 11),
])
recursive_split(edges)
def recursive_split(edges, level=0)... | snsinfu/bit5 | test400-graph_split/main.py | main.py | py | 2,038 | python | en | code | 0 | github-code | 6 |
3935444552 | import argparse
import sys
import time
from datetime import datetime, timedelta
from glados.es.ws2es.es_util import ESUtil, num_shards_by_num_rows, DefaultMappings, CURRENT_ES_VERSION
import glados.es.ws2es.signal_handler as signal_handler
import glados.es.ws2es.resources_description as resources_description
import gla... | chembl/chembl_ws_2_es | src/glados/es/ws2es/cluster_replication/cluster_replicator.py | cluster_replicator.py | py | 13,233 | python | en | code | 1 | github-code | 6 |
5480416527 | import os
import requests
from bs4 import BeautifulSoup
import re
import sys
import getopt
user_agent = 'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.82 Safari/537.36'
def get_music_data(url):
"""
用于获取歌曲列表中的歌曲信息
"""
headers = {'User-Agent':user_agent}... | haochen1204/Reptile_WYYmusic | pachong.py | pachong.py | py | 3,850 | python | en | code | 1 | github-code | 6 |
24463956390 | import numpy as np
import pandas as pd
import seaborn as sns
#soru 1
df = pd.read_csv("persona.csv")
df.head()
df.describe()
#soru 2
df["SOURCE"].nunique()
#soru 3
df["PRICE"].nunique()
#Soru 4
df["PRICE"].value_counts()
#soru 5
df["COUNTRY"].value_counts()
#soru 6
df.groupby("COUNTRY")["PRICE"].sum()
#soru7
df.gro... | FatihKemalTerzi/Woking-on-Datasets | Kural_tabanli_siniflandirma_project.py | Kural_tabanli_siniflandirma_project.py | py | 1,411 | python | en | code | 0 | github-code | 6 |
71483194428 | import pyautogui as pgui
import time
# pgui.PAUSE = 2.5
pgui.FAILSAFE = True
# positional variables // TO BE CHANGED IF REUSED, using mouse_pos.py
export_position = 1250, 540
tab_delimited_file_position = 1304, 785
records_from_button_position = 1092, 724
records_from_button_position_first_box = 1207, 724
records_fro... | KnuxV/projet_transdisciplinaire | auto_clicker.py | auto_clicker.py | py | 2,612 | python | en | code | 0 | github-code | 6 |
37107943507 | """1 question 1 sprint"""
def kthTerm(n, k) -> int:
"""
n1, n1+n0,
n2, n2+n0, n2+n1, n2+n1+n0,
n3, n3+n0, n3+n1, n3+n1+n0, n3+n2, n3+n2+n1, n3+n2+n1+n0]
"""
res = []
for i in range(k):
if len(res) > k:
break
res_copy = list(res)
res.append(n**i)
... | Misha86/python-online-marathon | 1_sprint/1_Question.py | 1_Question.py | py | 466 | python | en | code | 0 | github-code | 6 |
37307665313 | import tkinter as tk
from tkinter import ttk
import serial
from time import sleep
# Configure the serial port settings
port = "/dev/ttyS0"
baudrate = 9600
# Open the serial port
ser = serial.Serial(port, baudrate)
def on_FOTA_selected():
data=4
ser.write(bytes([data]))
ser.flush()
received=... | nadinfromc137/AutoSync-ACCwithFOTA | GUI/gui.py | gui.py | py | 3,626 | python | en | code | 1 | github-code | 6 |
18777180614 | import base64
from io import BytesIO
from flask import request
# Get a Float parameter with name `name` from the request or
# return the specified default value if it's absent
def num(name, default=0):
val = request.args.get(name)
return float(float(val) if val is not None else default)
# Get an... | Hitonoriol/MOND-PI | lab-10-endpoints/io_utils.py | io_utils.py | py | 2,196 | python | en | code | 0 | github-code | 6 |
74577178748 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('rest', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='ImageLike',
fields=[
... | ayyoobimani/Cloth-server | hiCloth/hicloth/rest/migrations/0002_imagelike_tag_userimageaction_usertaglike.py | 0002_imagelike_tag_userimageaction_usertaglike.py | py | 2,196 | python | en | code | 0 | github-code | 6 |
22676201180 | import mxnet as mx
import numpy as np
import importlib
import os
import pickle
from sklearn import preprocessing
from rmacRegions import rmac_regions
if __name__ == '__main__':
featureDim = {
'vgg16': 512,
'resnet18': 512,
'resnet101': 512,
'resnet152': 512,
'custom': 512
... | juvu/ImageSearch | utils/genDatabase_RMAC.py | genDatabase_RMAC.py | py | 2,141 | python | en | code | null | github-code | 6 |
70490334907 | """
Converting adjacency matrix to adjacency list
"""
# python3 converter.py
def sortThird(val):
return val[2]
def main():
row1 = list(input("Row 1: "))
row2 = list(input("Row 2: "))
row3 = list(input("Row 3: "))
row4 = list(input("Row 4: "))
vlist = list(input("Vertices: "))
allRows = []... | locua/algorithms-learning | completed-labs/14/quiz/mattolist.py | mattolist.py | py | 1,134 | python | en | code | 2 | github-code | 6 |
73554526269 | from hw_asr.base import BaseModel
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class MaskConv(nn.Module):
def __init__(self, seq_module):
super(MaskConv, self).__init__()
self.seq_module = seq_module
def forward(self, x, lengths):
for module in self... | ArseniyBolotin/asr_project | hw_asr/model/deepspeech.py | deepspeech.py | py | 4,068 | python | en | code | 0 | github-code | 6 |
811875796 | # Substring with Concatenation of All Words - https://leetcode.com/problems/substring-with-concatenation-of-all-words/
'''You are given a string, s, and a list of words, words, that are all of the same length. Find all starting indices
of substring(s) in s that is a concatenation of each word in words exactly once and... | Saima-Chaity/Leetcode | Sliding_Window/SubstringWithConcatenationOfAllWords.py | SubstringWithConcatenationOfAllWords.py | py | 1,493 | python | en | code | 0 | github-code | 6 |
20544187876 | from taskManager.plotting import *
import argparse
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--log_path",
type=str,
required=True,
help="Input TSV file path containing the output of ResourceMonitor"
)
parser.add_argument(
... | rlorigro/TaskManager | bin/plot_resource_usage.py | plot_resource_usage.py | py | 630 | python | en | code | 4 | github-code | 6 |
30815309971 | from typing import List, Tuple
import cmath
import random
_inv_root2 = 1 / cmath.sqrt(2)
_root2 = cmath.sqrt(2)
bra = List[complex]
ket = List[complex]
def vdot(v1, v2):
return sum(v1[i] * v2[i] for i in range(len(v1)))
def vinv(v):
return [-x for x in v]
def qdot(q1: ket, q2: ket) -> complex:
return... | Wroppy/werry_math | physics/quantum/systems.py | systems.py | py | 3,990 | python | en | code | 0 | github-code | 6 |
7796630315 | import ZSI;
from ZSIPatch import Struct
class GetStatus_Dec(Struct):
schema = 'http://opcfoundation.org/webservices/XMLDA/1.0/'
literal = 'GetStatus'
def __init__(self, name=None, ns=None, **kw):
name = name or self.__class__.literal
ns = ns or self.__class__.schema
self._LocaleID = None;
self._ClientReq... | BackupTheBerlios/pplt-svn | PPLT/Modules/Core/Server/OPCXML/OPCTypes/GetStatus.py | GetStatus.py | py | 1,073 | python | en | code | 0 | github-code | 6 |
32603947460 | from django.db import models
from simple_history.models import HistoricalRecords
from base.models.base import AuthBaseEntity
from base.models.inventory import Inventory
class Promotion(AuthBaseEntity):
class Meta:
ordering = ['-modified', '-created']
inventory = models.ForeignKey(Inventory, on_del... | SainezKimutai/test-capital | base/models/promotion.py | promotion.py | py | 678 | python | en | code | 0 | github-code | 6 |
28990015892 | from sys import platform, version_info
if True:
from PyQt5.QtCore import pyqtSlot, Qt, QSettings, QTimer
from PyQt5.QtGui import QFontMetrics
from PyQt5.QtWidgets import QDialog, QDialogButtonBox, QMessageBox
else:
from PyQt4.QtCore import pyqtSlot, Qt, QSettings, QTimer
from PyQt4.QtGui import QFo... | falkTX/Cadence | src/jacksettings.py | jacksettings.py | py | 41,004 | python | en | code | 361 | github-code | 6 |
44724952954 | # !/usr/bin/python
"""Main File to embedd and SRT or ASS subtitle file into an MKV file."""
import os
import sys
from os.path import basename
from mkv import mkv
import argparse
import time
def initParser():
parser = argparse.ArgumentParser()
parser.add_argument("inputMkv", type=argparse.FileType('r'),
... | voelkerb/matroskaPlotter | bakeSub.py | bakeSub.py | py | 1,360 | python | en | code | 0 | github-code | 6 |
36644827726 |
def log(message: str):
with open('progress.log', 'a') as f:
f.write(message+'\n')
def log_broken_file(e, broken_filename: str):
with open('broken_files.log', 'a') as f:
f.write(broken_filename+'\n')
f.write(str(e)+'\n')
import os
import json
# import sys
import random
from datetime im... | AdrienSF/twitter-analysis | older/save_trained_lda.py | save_trained_lda.py | py | 3,790 | python | en | code | 0 | github-code | 6 |
7005065421 | import logging
import logging.config
from huggingface_hub import HfApi
from typing import Text, Optional
from .config_parser import ConfigParser
from .exceptions import TaskModelMismatchException
logging_config_parser = ConfigParser('config/logging.yaml')
logging.config.dictConfig(logging_config_parser.get_config_dic... | MinuraPunchihewa/hugging-py-face | hugging_py_face/base_api.py | base_api.py | py | 1,024 | python | en | code | 1 | github-code | 6 |
37276060555 | import torch
import numpy as np
import torch.nn.functional as F
import torch.nn as nn
from torch.nn.modules.utils import _pair, _quadruple
import math
class MedianPool2d(nn.Module):
""" Median pool (usable as median filter when stride=1) module.
Args:
kernel_size: size of pooling kernel, int or 2... | yeongjoonJu/CFR-GAN | tools/ops.py | ops.py | py | 9,407 | python | en | code | 74 | github-code | 6 |
31482179843 | from tkinter import *
from tkinter import messagebox
window = Tk()
window.geometry("500x400")
window.title("Medical Records")
frame = Frame(window)
#The layout of The Sick Class
illness_ID = Label(window, text = "Illness Code")
illness_ID.pack(side = LEFT)
illness_ID.place(x = 20, y = 20)
illness_entry = Entry(wi... | m-kona/medical-records | medical-records.py | medical-records.py | py | 3,509 | python | en | code | 0 | github-code | 6 |
189554987 | import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
with open('/home/ubuntu/environment/huntsman_scholar_final_proj/results.txt','r') as f:
content = f.readlines()
contents = ''.join(content)
s = smtplib.SMTP('smtp.gmail.com', 587)
# start TLS for security
s.startt... | lawilding/huntsman_scholar_final_proj | sendEmail.py | sendEmail.py | py | 736 | python | en | code | 0 | github-code | 6 |
12477052664 | from cProfile import label
from multiprocessing.sharedctypes import Value
from re import T
from typing import Dict, List, Optional, Tuple
import torch
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
import transformers
import numpy as np
import random
import argparse
from collections import default... | mariopenglee/llm-metalearning | src/submission/icl.py | icl.py | py | 11,435 | python | en | code | 0 | github-code | 6 |
5290534852 | # This file is part of Channel Capacity Estimator,
# licenced under GNU GPL 3 (see file License.txt).
# Homepage: http://pmbm.ippt.pan.pl/software/cce
from collections import Counter
import numpy as np
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
def weight_optimizer(neighb_count, labels) -> (float, l... | pawel-czyz/channel-capacity-estimator | cce/optimization.py | optimization.py | py | 2,289 | python | en | code | 6 | github-code | 6 |
74175180349 | # -*- coding:utf-8 -*-
"""
题目描述：请实现两个函数，分别用来序列化和反序列化二叉树
解题思路：
序列化二叉树：把一棵二叉树按照某种遍历方式的结果以某种格式保存为字符串。需要注意
的是，序列化二叉树的过程中，如果遇到空节点，需要以某种符号（这里用#）表示。
序列化可以基于先序/中序/后序/按层等遍历方式进行，这里采用先序遍历的方式实现，
字符串之间用","隔开。
主要用递归思想，每次递归返回的是结点，递归中处理好结点终止的条件，并且递归
处理该节点的左右子结点
类中变量self.count记录每次调用递归时的结点在序列化中的位置
"""... | xxxsssyyy/offer-Goal | 61序列化二叉树.py | 61序列化二叉树.py | py | 1,469 | python | zh | code | 7 | github-code | 6 |
17079551201 | from gensim.models import KeyedVectors
from anki_corpus_for_gensim import bg_stopwords,en_stopwords
import json, argparse, time
from flask import Flask, request
from flask_cors import CORS
##################################################
# API part
##################################################
app = Flask(__n... | teodorToshkov/sentencesimilarity | app.py | app.py | py | 1,897 | python | en | code | 0 | github-code | 6 |
5264982546 | #!<path_from_which_python_command>
import sys
import os
from datetime import date
import datetime
import pkgutil
import os
import shutil
import subprocess
import time
import urllib.request # To download files
from tkinter import Tk, ttk # Download bar
import zipfile
from pathlib import Path
import urllib.request as req... | gomuG/ROMiner | gUtil.py | gUtil.py | py | 10,668 | python | en | code | 1 | github-code | 6 |
12018146730 | import mysql.connector
config = {
'user': 'root',
'password': '',
'host': 'localhost',
'database': 'quotes_test'
}
tab = 'tereshkova_table'
def init_connection():
return mysql.connector.connect(**config)
def close_connection(con):
con.close()
def copy_all_in_table(con, row_list):
curso... | arkuz/quotes_test | helpers/DB.py | DB.py | py | 965 | python | en | code | 0 | github-code | 6 |
42174822199 | PAYMENT = "💰 افزایش موجودی"
BUY_NEW_SERVICE = "🛍 خرید سرویس"
GET_TEST_SERVICE = "🎁 دریافت سرویس رایگان"
MY_SERVICES = "💎 سرویس های من"
PRICE_LIST = "💲تعرفه سرویس"
MY_PROFILE = "👤 پروفایل من"
HELP = "❔ راهنما"
SUPPORT = "💭 پشتیبانی انلاین"
EXIT = "🔙 خروج"
CHANNEL = "عضویت در کانال"
I_HAVE_SUBSCRIBED = " ✅ عضو شد... | eloravpn/EloraVPNManager | src/telegram/user/captions.py | captions.py | py | 701 | python | fa | code | 15 | github-code | 6 |
21628349339 | #!/usr/bin/python3
# this file contains the code to publish parsed messages to your system
# currently there is only MQTT implemented, which can be configured in the central config
import logging
import paho.mqtt.publish
#internal imports
import config
def is_interval_matched(dateTime):
dateTime
seconds = i... | aburgr/smartmeter-reader | publish.py | publish.py | py | 1,793 | python | en | code | 14 | github-code | 6 |
19235406042 | from dash import dcc, html, dash_table
import config
import sites
import numpy as np
import pandas as pd
def call_layout(site_config):
layout = html.Div([
html.Div(id='dash-header',
children=[
html.H1(children=config.title),
html.H3(children=dcc.M... | fenggroup/bike-traffic-plotly-dash | layouts.py | layouts.py | py | 9,242 | python | en | code | 5 | github-code | 6 |
367509253 | import streamlit as st
import pandas as pd
import random
from stqdm import stqdm
df_64 = pd.read_csv("juyok_DB.csv", encoding='UTF8')
df_est = pd.read_csv("juyok_DB_est.csv", encoding='UTF8')
# st.write(df_64)
st.markdown("## **당신의 이름은 무엇인가요?**")
name = st.text_input("이름: ")
st.markdown("## **당신의 성별은 무엇인가요?**")
s... | baemsu/juyok | app.py | app.py | py | 3,094 | python | en | code | 0 | github-code | 6 |
3200668360 | import rodMassParam as P
import matplotlib.pyplot as plt
from control import TransferFunction as tf
import control as cnt
import numpy as np
import rodMassParam as P
# ----------- noise specification --------
# attenuate noise above omega_n by gamma_n
def add_spec_noise(gamma, omega, flag):
w = np.logspace(np.log1... | mebach/me431 | homework_template_folders/homework_template_folders/practice_final/python/loopshape_rodMass.py | loopshape_rodMass.py | py | 6,465 | python | en | code | 0 | github-code | 6 |
37695958743 | zvirata = ["pes", "kočka", "králík", "had"]
zvirata.append("andulka")
# Slovník ze seznamu, klíč je druhý znak ve slově a hodnota je slovo
zvirata_dict = {}
for zvire in zvirata:
zvirata_dict[zvire[1]] = zvire
# Seřazení klíčů
keys = zvirata_dict.keys()
sort_letters = sorted(keys)
# Vytvoření nového seznamu dle ... | Pavucinap/PyLadies | ulohy_05/povinna_uloha_6_zviratka.py | povinna_uloha_6_zviratka.py | py | 1,197 | python | cs | code | 0 | github-code | 6 |
29834178126 | '''
Hacer un programa que lea el nombre y precio de un producto,
el programa repetira esta accion hasta que el usuario lo desee,
al finalisar mostrara el total de productos, la sumatoria de los precios, el porcentaje de IVA respecto al total y el total a pagar
'''
cantidadProductos = 0
precioTotal = 0.0
totalPagar = 0... | Developer2022004/TercerSemestre | Parcial_uno/practicaCinco.py | practicaCinco.py | py | 978 | python | es | code | 0 | github-code | 6 |
37016357191 | #!/usr/bin/env python3
from __future__ import print_function
import ase.io
import sys
import numpy as np
if len(sys.argv) != 3:
sys.stderr.write("Usage: %s model.so model_params < input.xyz\n" % sys.argv[0])
sys.exit(1)
at = ase.io.read(sys.stdin, format="extxyz")
import fortranMCMDpy
FORTRAN_model = sys.a... | libAtoms/pymatnest | test_fortran_model.py | test_fortran_model.py | py | 1,204 | python | en | code | 26 | github-code | 6 |
17878868675 | ####
# Each team's file must define four tokens:
# team_name: a string
# strategy_name: a string
# strategy_description: a string
# move: A function that returns 'c' or 'b'
####
#Idea: run your own historical simulation before you play against anyone. This will allow you to determine how your opponent ... | rpyle/IPD2022 | maggin.py | maggin.py | py | 1,493 | python | en | code | 0 | github-code | 6 |
73761204349 | import numpy as np
from constants.constants import UNI, EXTENDED
from utils.progress_bar import progress_bar
def create(img:np.array, UNICODE=EXTENDED) -> str:
res = ""
for i,line in enumerate(img):
progress_bar(i/img.shape[0])
for pixel in line:
res += UNICODE[int(sum(pixel)/768*le... | carlospuenteg/Image-to-Unicode | create_txt.py | create_txt.py | py | 363 | python | en | code | 9 | github-code | 6 |
4548632854 | #
num = int(input())
if num % 2 != 0 and num >= 1 and num <= 100:
foo = (num / 2)+1
count = [int(i) for i in range(num) if i % 2 != 0][::-1]
rnum = num
#print(count)
for i in range(num):
print(" "*int(i),end='')
print(i+1,end="")
if int(foo) == i+1:
print("")
... | SheikhAnas23/DLithe_Python_Internship_Report | day6/assingnment 3/prob5.py | prob5.py | py | 441 | python | en | code | 0 | github-code | 6 |
19052278908 | '''
binary search (이진탐색) : 반드시 정렬된 상태에서 시작해야한다. 로그실행시간을 보장한다.
용어 설명
target : 찾고자하는 값
data: 오름차순으로 정렬된 list
start: data의 처음 값 인덱스
end: data의 마지막 값 인덱스
mid: start,end의 중간 인덱스
바이너리 서치
data중 target을 검색하여 index 값을 return 한다.
없으면 None을 return
'''
# target = 찾고자하는값, data: list값
def binary_search(target,data):
data.sort() ... | parkjunga/algorithm | binary_search.py | binary_search.py | py | 1,134 | python | ko | code | 0 | github-code | 6 |
1919214297 | from lxml import etree
import requests
import pymysql
def getdel():
url = 'https://book.douban.com/top250'
data = requests.get(url).text
s=etree.HTML(data)
file=s.xpath('//*[@id="content"]/div/div[1]/div/table/tr/td[2]/div[1]/a/@title')
print(file)
return fil... | cxzw/python-- | 16219111435/席子文爬虫作业/静态爬虫.py | 静态爬虫.py | py | 601 | python | en | code | 0 | github-code | 6 |
1822549193 | #class without chaining
##*********************************
##class MyHashMap:
## def __init__(self):
## self.size = 10
## self.arr = [None for i in range(self.size)]
## #print(self.arr)
##
## def put(self,key,val):
## hsh = self.gethash(key)
## self.arr[hsh] = val
##... | sushasru/LeetCodeCrunch | LeetCode_E_DesignHashMap.py | LeetCode_E_DesignHashMap.py | py | 2,082 | python | en | code | 0 | github-code | 6 |
43371076004 | import requests
from bs4 import BeautifulSoup
import os
def get_book(url):
response = requests.get(url)
response.encoding = "utf-8"
text = response.text
soup = BeautifulSoup(text)
div_show = soup.select("div.dirShow")[0]
# print(div_show)
dirs = div_show.select("li a")
count = len(dir... | frebudd/python | book_spider.py | book_spider.py | py | 1,460 | python | en | code | 2 | github-code | 6 |
38217350686 | #!/usr/bin/env python3
import argparse
import sys
from typing import List, Union
import uuid
import capstone_gt
import gtirb
from gtirb_capstone.instructions import GtirbInstructionDecoder
def lookup_sym(node: gtirb.Block) -> Union[str, None]:
"""
Find a symbol name that describes the node.
"""
for s... | GrammaTech/ddisasm | tests/check_gtirb.py | check_gtirb.py | py | 16,220 | python | en | code | 581 | github-code | 6 |
34508588550 |
# https://www.geeksforgeeks.org/find-sum-modulo-k-first-n-natural-number/
def find_sum(N,K):
ans = 0
# Counting the number of times
# 1, 2, .., K-1, 0 sequence occurs.
y = N / K
# Finding the number of elements
# left which are incomplete of
# sequence Leads to Case 1 type.
x = ... | ved93/deliberate-practice-challenges | code-everyday-challenge/n131_sum_of_modulo_k.py | n131_sum_of_modulo_k.py | py | 661 | python | en | code | 0 | github-code | 6 |
37065823559 | class myclass: #aclass
def inherit(self):
self.A=int(input("enter the A value:"))
self.B=int(input("enter the B value:"))
class Addtion(myclass):
def add(self):
self.inherit()
c=self.A+self.B
print("Addition value are",c)
class multiplication(myclass):
def mul(self):
... | duraipandiyan/inheritance_opps | hirarichrical inheritance.py | hirarichrical inheritance.py | py | 599 | python | en | code | 0 | github-code | 6 |
22047012801 | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import RangeSlider
import pims
def gui(input_img):
# read in an image, usually np.array kind. This one will be a stack of images
# Initialize the frame number to be zero, since array indexing
frame = 0
img = input_img
fig, axs = pl... | kzhang425/PyImgTracker | gui_plots.py | gui_plots.py | py | 1,454 | python | en | code | 0 | github-code | 6 |
6841379030 | import itertools
from collections import OrderedDict
import nltk
from spellchecker import SpellChecker
from nltk.corpus import wordnet as wn
from ranker import Ranker
#import utils
"""
search engine for spell checker
"""
# DO NOT MODIFY CLASS NAME
class Searcher:
# DO NOT MODIFY THIS SIGNATURE
# You can change... | hallelhel/Search_Engine | searcher_4.py | searcher_4.py | py | 4,158 | python | en | code | 0 | github-code | 6 |
71749352509 | import random
from kafka import KafkaProducer
producer = KafkaProducer(bootstrap_servers='0.0.0.0:9092')
num = random.randint(0, 10)
num_bytes = bytes(str(num), encoding='utf-8')
is_send = producer.send('test-topic', value=num_bytes, key=num_bytes)
# Block for 'synchronous' sends
try:
record_metadata = is_send.... | makseli/kafka-docker-python | producer.py | producer.py | py | 639 | python | en | code | 0 | github-code | 6 |
22812799305 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 24 10:30:26 2018
@author: Puneet Kumar
"""
x = input("enter the text : ")
#x = 'defgh'
k = x = input("enter the text : ")
#x = 'defgh'
k = ['q','w','e','r','t','y','u','i','o','p','a','s','d','f','g','h','j','k','l','z','x','c','v','b','n','m']
alph... | pappukr4444/M.Tech-Labs | subtitution.py | subtitution.py | py | 915 | python | en | code | 1 | github-code | 6 |
15774686000 | import random
rock = '''
_______
---' ____)
(_____)
(_____)
(____)
---.__(___)
'''
paper = '''
_______
---' ____)____
______)
_______)
_______)
---.__________)
'''
scissors = '''
_______
---' ____)____
______)
_... | pranayprasad7001/rock-paper-scissors | rock-paper-scissors.py | rock-paper-scissors.py | py | 991 | python | en | code | 0 | github-code | 6 |
34450081054 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals
from django.shortcuts import render
from django.views.generic.base import View
from django.http import JsonResponse
from participa.settings import SEFAZ_API_URL
from participa.auth_sefaz.views import ParticipaSefazRequest, BaseView
from pa... | vctrferreira/hackathon-sefaz | participa/report/views.py | views.py | py | 2,135 | python | en | code | 1 | github-code | 6 |
17598457644 | from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from PIL import Image
def make_pages(page, item_list, page_size):
paginator = Paginator(item_list, page_size)
try:
images = paginator.page(int(page))
except PageNotAnInteger:
images = paginator.page(1)
except EmptyPage:
images = pag... | mr-shubhamsinghal/gallery-app | gallery/utils.py | utils.py | py | 510 | python | en | code | 0 | github-code | 6 |
71798191227 | class NegativeDigitError(ValueError):
"""Exception raised when digit is negative in power and square_root calculations"""
def __init__(self, digit):
self.digit = digit
self.message = f'Digit "{digit}" has to be positive for powering or square rooting'
super().__init__(self.message)
... | withaim/ithillel | exceptions.py | exceptions.py | py | 3,907 | python | en | code | 0 | github-code | 6 |
18183301241 | from django.shortcuts import render, redirect
from django.views.generic.edit import CreateView, UpdateView, DeleteView
from .models import Post, Comment
from .forms import CommentForm, ContactForm
# Create your views here.
def home(request):
return render(request, 'home.html')
def about(request):
return rend... | gollobc/Meridio-Full-Stack-App | meridio/main_app/views.py | views.py | py | 1,500 | python | en | code | 0 | github-code | 6 |
21390773853 | def oddHelper(s, k):
"""1 <= k <= n-2"""
i = 1
N = min(k, len(s) - 1 - k)
while i <= N:
if s[k - i] != s[k + i]:
break
else:
i += 1
return (1 + 2 * (i - 1), s[k - i + 1 : k + i])
def evenHelper(s, k):
"""1 <= i <= n-2"""
if s[k] != s[k + 1]:
r... | Howii/LeetCode | prob_0005-Longest_Palindromic_Substring.py | prob_0005-Longest_Palindromic_Substring.py | py | 1,091 | python | en | code | 0 | github-code | 6 |
4142566592 | import ast
import networkx as nx
import numpy as np
from collections import defaultdict
import json
from tqdm import tqdm
# nodes = [0, 1, 2, 3, 4]
# graph = [[4, 3, 0.75], [4, 1, 0.81], [4, 2, 0.97], [4, 0, 0.52]]
# page_rank_probs = defaultdict(float)
# DG = nx.DiGraph()
# DG.add_nodes_from(nodes)
# DG.add_weighted_... | Gitsamshi/Nli-image-caption | playground.py | playground.py | py | 8,056 | python | en | code | 3 | github-code | 6 |
833697082 | import numpy as np
import matplotlib.pyplot as plt
n = 6
maxI = 10000000
eps = 1e-6
def f(x):
return (0.5*np.reshape(x, (1, n))).dot(A).dot(np.reshape(x, (n, 1))) + b.dot(x)
def grad(x):
return np.reshape(A.dot(x), (1, n)) + b
def H(x):
return A
def Hinv(x):
return np.linalg.inv(A)
A = np.random.... | UIIf/Study | 3course/Optimization/FirstLab/lab3.py | lab3.py | py | 1,423 | python | ru | code | 0 | github-code | 6 |
42493202461 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 2 16:13:15 2019
@author: michal
"""
from IOtemp import readAuthors, readPublications
from MKAR_flow import MKAR_FlowTheory
from math import ceil
import networkx as nx
def checkN(workersList):
N = 0
for w in workersList:
N += w.ti... | chemiczny/pubMatch | pubMatch/fordFulkersonAproximation.py | fordFulkersonAproximation.py | py | 3,927 | python | en | code | 0 | github-code | 6 |
29437968143 | tabby_cat = "\tI'm tabbed in."
#The variable tabby_cat strores the string with a tab\
persian_cat = "I'm split\non a line."
#The variable persian_cat stores the string and creates a new line within the text
backslash = "I'm\\a\\cat."
#The Varibale backslash stores the string and backslashes within
fat_cat = """"
I'w... | ERICMUKONGE/TRY4 | ex10.py | ex10.py | py | 719 | python | en | code | 1 | github-code | 6 |
15393475408 | # -*- coding:utf-8 -*-
class Solution:
# 返回[a,b] 其中ab是出现一次的两个数字
def FindNumsAppearOnce(self, array):
# write code here
resultEx = 0
for obj in array:
resultEx ^= obj
indexof1 = self.findFirstBit1(resultEx)
num1,num2 = 0,0
for obj in array:
... | shakesVan/Playground | Nowcoder/56.py | 56.py | py | 717 | python | en | code | 0 | github-code | 6 |
7176590579 | import secrets
from eth_keys import (
keys,
)
from eth_utils import (
int_to_big_endian,
)
try:
import factory
except ImportError:
raise ImportError(
"The p2p.tools.factories module requires the `factory_boy` library."
)
def _mk_private_key_bytes() -> bytes:
return int_to_big_endian(... | ethereum/py-evm | eth/tools/factories/keys.py | keys.py | py | 772 | python | en | code | 2,109 | github-code | 6 |
39915090383 | import numpy as np
import pandas as pd
import math
import requests, json, time
from datetime import datetime
class Processor:
def __init__(self, history_length):
self.history_length = history_length
def fetchHistoricalDataForTicker(self, fsym, tsym, lim):
df_cols = ['time', 'open', 'high', 'low', 'close', 'vo... | kwhuo68/rl-btc | processor.py | processor.py | py | 1,365 | python | en | code | 3 | github-code | 6 |
31309035194 | #!/usr/bin/env python
# coding: utf-8
# In[ ]:
#Library Imports
from __future__ import print_function, division
from keras.models import Sequential, Model
from keras.layers.core import Dense
from keras.layers.recurrent import LSTM, GRU, SimpleRNN
from keras.layers import Input
from keras.utils.data_utils import get_... | RenatoMAlves/context-aware-time-prediction | code/Context-LSTM/train_addittional_feats_py3.py | train_addittional_feats_py3.py | py | 13,972 | python | en | code | 0 | github-code | 6 |
75113992506 | from timeit import default_timer as timer
target = 150
start = timer()
file = open('input.txt')
def permute(vals, target):
if len(vals) <=1:
if len(vals) == 1 and vals[0] == target:
return [vals]
return []
else:
ret = []
vals = [] + vals
while(len(vals) > 0):
val = vals[0]
vals.pop(0)
if val ... | kmckenna525/advent-of-code | 2015/day17/part1.py | part1.py | py | 932 | python | en | code | 2 | github-code | 6 |
38756128140 | """
Kubernetes server class implementation.
"""
from __future__ import absolute_import
import os
import logging
import uuid
from kubernetes import config
from kubernetes import client as k8sclient
from kubernetes.client.rest import ApiException
from retry import retry
from pytest_server_fixtures import CONFIG
from .c... | man-group/pytest-plugins | pytest-server-fixtures/pytest_server_fixtures/serverclass/kubernetes.py | kubernetes.py | py | 5,398 | python | en | code | 526 | github-code | 6 |
7722813982 | from pacman.model.partitioned_graph.multi_cast_partitioned_edge import \
MultiCastPartitionedEdge
from spynnaker.pyNN.models.abstract_models.abstract_filterable_edge import \
AbstractFilterableEdge
class ProjectionPartitionedEdge(MultiCastPartitionedEdge,
AbstractFilterableEdge... | ominux/sPyNNaker | spynnaker/pyNN/models/neural_projections/projection_partitioned_edge.py | projection_partitioned_edge.py | py | 2,558 | python | en | code | null | github-code | 6 |
31672849616 | '''
from PyQt5 import QtCore, QtWidgets, QtGui
from PyQt5.QtWebEngineWidgets import QWebEngineView
from PyQt5.QtCore import QUrl
xcept ImportError:
print("PyQt5 is not installed")
'''
from PySide2 import QtCore, QtWidgets, QtGui
from PySide2.QtWebEngineWidgets import QWebEngineView
from PySide2.QtCore import QUrl... | ArturW/Discovery | pydiscoveryt.py | pydiscoveryt.py | py | 10,341 | python | en | code | 0 | github-code | 6 |
73051866108 | import matplotlib.pyplot as plt
import numpy as np
import os
import PIL
import tensorflow as tf
from tensorflow import keras
model = tf.keras.models.load_model('C:/AI/model.h5')
class_names = ['daisy', 'dandelion', 'roses', 'sunflowers', 'tulips']
img_height = 180
img_width = 180
sunflower_url = "http... | dasfef/PyQt5 | Ex20221202_3(h5 activate).py | Ex20221202_3(h5 activate).py | py | 925 | python | en | code | 0 | github-code | 6 |
16304234084 | f = open("Data/URL.txt", "a")
#inp=input("Enter the url\n")
#inp+="\n"
import sys
print("Enter the data")
data = sys.stdin.read() # Use Ctrl d to stop the input
data=list(data)
indices = [i for i, x in enumerate(data) if x == "\n"]
j=0
inp=input("enter label\n")
for i in indices:
ted=i+j
data.insert(ted,"\t"+inp)... | SK9712/Detecting-Malicious-Url-Using-Character-level-CNN | dataset_creator.py | dataset_creator.py | py | 350 | python | en | code | 8 | github-code | 6 |
22049207954 | # macros.py contains the SavedFiles class, which is used
# to maintain a directory of files with saved macro inputs
import os
import player
import record
DEFAULT_LOG = "action_log.txt"
class SavedFiles:
DIRECTORY_NAME = "Macros" # name of directory to save files in
files = ['' for x in range(... | Jedi123jet/Ekko | macros.py | macros.py | py | 5,066 | python | en | code | 0 | github-code | 6 |
72531788029 | # pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=unused-variable
# pylint: disable=too-many-arguments
import pytest
from models_library.api_schemas_webserver.projects import (
ProjectCreateNew,
ProjectGet,
ProjectListItem,
ProjectReplace,
TaskProjectGet,
)... | ITISFoundation/osparc-simcore | packages/models-library/tests/test_api_schemas_webserver_projects.py | test_api_schemas_webserver_projects.py | py | 2,403 | python | en | code | 35 | github-code | 6 |
14950042406 | def add_task(todo_list):
task = input("Enter the task: ")
todo_list.append(task)
print(f"Task '{task}' added to the to-do list.")
def view_tasks(todo_list):
if not todo_list:
print("No tasks in the to-do list.")
else:
print("To-Do List:")
for index, task in enumera... | SanjanaLakkimsetty/CodersCave | coderscave todo/todo_app.py | todo_app.py | py | 1,497 | python | en | code | 0 | github-code | 6 |
26102744693 | #!/usr/bin/python
import os, sys
# copied from:
# https://github.com/rose/nand2tetris/blob/master/assembler.py
# these three dictionaries store the translations of the 3 parts
# of a c-instruction
comp = {
"0": "0101010",
"1": "0111111",
"-1": "0111010",
"D": "0001100",
"A": "0110000",
"!D": "0... | philzook58/nand2coq | verilog/assembly.py | assembly.py | py | 4,058 | python | en | code | 49 | github-code | 6 |
21666324114 | #https://leetcode.com/problems/3sum/
from collections import defaultdict
class Solution:
#Fast and extremely clever solution, need to study this further to understand how it works
def threeSum(self, nums: list[int]) -> list[list[int]]:
negative = defaultdict(int)
positive = defaultdict(int)
... | Adam-1776/Practice | DSA/3sum/solution.py | solution.py | py | 2,243 | python | en | code | 0 | github-code | 6 |
42085468466 | import math
print("welcome")
# addition of two numbers
print("enter two numbers")
a = input("num1:")
b = input("num2:")
c = int(a) + int(b)
print(c)
# fibonacci series
n1, n2 = 0, 1
count = 0
n = int(input("enter range"))
if n <= 0:
print("Please enter a positive integer")
elif n == 1:
... | Ramcharantejpaka/python_lab | main.py | main.py | py | 1,279 | python | en | code | 0 | github-code | 6 |
12096156845 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import requests
from bs4 import BeautifulSoup, Tag
from workflow import Workflow
def main(wf):
if not wf.args:
return
word = wf.args[0].strip()
resp = requests.post("http://www.zdic.net/sousuo/", data={"q": word})
soup = BeautifulSou... | jinuljt/zdic.alfredworkflow | zdic.py | zdic.py | py | 1,421 | python | en | code | 6 | github-code | 6 |
30357445001 | from traits.api import HasTraits, Code
from traitsui.api import Item, Group, View
# The main demo class:
class CodeEditorDemo(HasTraits):
"""Defines the CodeEditor demo class."""
# Define a trait to view:
code_sample = Code('import sys\n\nsys.print("hello world!")')
# Display specification:
cod... | enthought/traitsui | traitsui/examples/demo/Standard_Editors/CodeEditor_demo.py | CodeEditor_demo.py | py | 922 | python | en | code | 290 | github-code | 6 |
2653030207 | import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class BiLSTM(nn.Module):
def __init__(self, args):
super(BiLSTM, self).__init__()
self.embedding_size = args.embedding_size
self.hidden_size = a... | wbakst/meta-learned-embeddings | lstm.py | lstm.py | py | 2,741 | python | en | code | 1 | github-code | 6 |
34834842463 | import re
f = open("processos.txt")
linhas = f.readlines()
datas = {}
for i in linhas:
new_text = re.search(r'([0-9]+)::([0-9]{4})', i)
if new_text:
data = new_text.group(2)
processo = new_text.group(1)
if (data,processo) not in datas:
datas[(data,processo)] = ... | Miguelii/uminho.PLC-Project | PLC TP1/a.py | a.py | py | 524 | python | pt | code | 0 | github-code | 6 |
71888961147 | line3 = ''
import re
with open('txt\\论语-提取版.txt','r+',encoding="UTF-8") as f2,open('txt\\论语-原文.txt','w',encoding="UTF-8") as f3:
for line in f2.readlines() :
line3 = line3 + line
line3 = re.sub(u'\(\d\)','',line3)
# if line == '】':
# del line3[-4, -1]
# continue
... | fivespeedasher/Pieces | luanyu2.py | luanyu2.py | py | 444 | python | en | code | 0 | github-code | 6 |
36396608095 | """
Continuous Statistics Class
"""
from numbers import Number
from typing import Union, Tuple
from functools import wraps
import inspect
import numpy as np
from gval.statistics.base_statistics import BaseStatistics
import gval.statistics.continuous_stat_funcs as cs
class ContinuousStatistics(BaseStatistics):
... | NOAA-OWP/gval | src/gval/statistics/continuous_statistics.py | continuous_statistics.py | py | 9,420 | python | en | code | 14 | github-code | 6 |
6634407633 | class Solution(object):
def rotatev1(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: None Do not return anything, modify nums in-place instead.
"""
if nums is None or len(nums) ==0:
return
k %= n
for i in range(k):
... | rh01/gofiles | lcode100-199/ex113/rotate.py | rotate.py | py | 821 | python | en | code | 0 | github-code | 6 |
44855832216 | """
Question 4.3: List of Depths: Given a binary tree, design an algorithm which creates a linked list of all the nodes
at each depth (e.g., if you have a tree with depth 0, you'll have 0 linked lists).
"""
class TNode:
def __init__(self,value):
self.data = value
self.left = None
... | sandeepjoshi1910/Algorithms-and-Data-Structures | List_of_Depths.py | List_of_Depths.py | py | 2,206 | python | en | code | 0 | github-code | 6 |
3096449689 | from django.shortcuts import render, render_to_response
from django.utils import timezone
from django.http import HttpResponse, Http404
#from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.core.paginator import EmptyPage, PageNotAnInteger
from flynsarmy_paginator.paginator import Flynsa... | seolakim/reve-web | foodle/views.py | views.py | py | 4,218 | python | en | code | 0 | github-code | 6 |
4457145906 | # -*- coding: utf-8 -*-
# Scrapy settings for wikicrawler project
#
# For simplicity, this file contains only the most important settings by
# default. All the other settings are documented here:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
#
BOT_NAME = 'wikicrawler'
SPIDER_MODULES = ['wikicrawler.sp... | Ugon/mownit | document-search-engine/wikicrawler/wikicrawler/settings.py | settings.py | py | 673 | python | en | code | 0 | github-code | 6 |
23996964324 | # Imports
import pandas as pd
from numpy.linalg import norm
from numpy import dot
from ML_Pipeline.preprocessing import preprocessing_input
# Define cosine simialrity function
def cos_sim(a,b):
"""
In our context:
a: Vector 'a' represents emebedding/vector rep. of query passed
b: T... | avr2002/Medical-Embeddings-and-Clinical-Trial-Search-Engine | src/ML_Pipeline/top_n.py | top_n.py | py | 1,894 | python | en | code | 0 | github-code | 6 |
33422541294 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
from torchvision import datasets, models, transforms
from torchvision.utils import save_image
from torch.utils.data import Dataset
from torchvision import datasets, models, transforms
from Regressor_and_loss import disparityregressi... | Pahulmeet/Stereo_Depth_Estimation | model8.py | model8.py | py | 4,908 | python | en | code | 0 | github-code | 6 |
74221916988 | #! /usr/bin/env python3
# utf-8
# importing Hashs
import hashlib
from hashlib import md5
# imports sys related
import os, sys
import subprocess
from os import system, name
from time import gmtime, strftime, sleep
from sys import argv
# EX
from zlib import *
import socket
import random
import glob
import b... | elfalehed/mush | mush.py | mush.py | py | 2,562 | python | en | code | 7 | github-code | 6 |
14890429316 | # coding:utf-8
import numpy as np
import math
type_ir = 5
def atan(a):
val = float(a)
return math.atan(val)*2/math.pi
def linear_state(single_state):
#print('line/single_state',single_state.shape[0])
#print('line/single_state',single_state.shape[1])
a = np.zeros((single_state.shape[0],1))
for... | kkkazumi/kensyu | test_linear.py | test_linear.py | py | 1,316 | python | en | code | 0 | github-code | 6 |
36076113426 | # instructions = open("input_day10.txt").read().strip().split("\n")
# print('there are', len(instructions), 'instructions')
# X = 1
# cycle = 0
# cycle_watchlist = [20, 60, 100, 140, 180, 220]
# signal_strengths = []
# for ins in instructions:
# print(cycle)
# if ins.split()[0] == 'noop':
# cyc... | Skaleras/AoC_22 | day10.py | day10.py | py | 1,348 | python | en | code | 0 | github-code | 6 |
40555963992 | from django.urls import path
from Web.views import Index, Persons, Random, QuotesByPerson, QuotesByCategory, CategoryCreateView, PersonCreateView, QuoteCreateView, LogoutView
from Web.api_views import APIPersons, APICategories, APIQuotes, APIQuotesByPerson, APIQuotesByCategory, APIQuotesRandom
urlpatterns = [
pat... | mavenium/PyQuotes | Web/urls.py | urls.py | py | 1,415 | python | en | code | 27 | github-code | 6 |
36668954335 | from abc import ABC, abstractmethod
# enum and constants
from enum import Enum
from uuid import UUID
from time import time
import threading
class VehicleType(Enum):
# supported vehicle
CAR = 'car'
TRUCK = 'truck'
VAN = 'van'
MOTORBIKE = 'motorbike'
class ParkingSpotType(Enum):
# available s... | manofsteel-ab/design-patterns | oo_design/parking_lot.py | parking_lot.py | py | 11,034 | python | en | code | 0 | github-code | 6 |
35326364696 | import turtle
def draw_flower(animal):
animal.right(20)
animal.forward(60)
animal.right(20)
animal.forward(60)
animal.right(100)
animal.forward(60)
animal.right(20)
animal.forward(60)
def draw_something(animal):
animal.forward(100)
animal.right(150)
animal.forwar... | RodolfoFerro/muk | Lesson03/flower.py | flower.py | py | 1,016 | python | en | code | 0 | github-code | 6 |
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