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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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
22913601493 |
def main():
"""Get a string input and print out a formatted list of the occurrence number of words."""
string = input("Enter your string: ")
split_string = string.split(" ")
split_string.sort()
string_dictionary = create_dictionary(split_string)
longest_word_length = find_longest_word(split_st... | SPritchard86/cp1404 | cp1404Practicals/prac_05/word_occurrences.py | word_occurrences.py | py | 1,062 | python | en | code | 0 | github-code | 50 |
4643678359 | import logging
import unittest
import factories
from .base import BaseGrapheneElasticTestCase
from ..constants import ALL, VALUE
__all__ = (
'HighlightBackendElasticTestCase',
)
logger = logging.getLogger(__name__)
class HighlightBackendElasticTestCase(BaseGrapheneElasticTestCase):
def setUp(self):
... | barseghyanartur/graphene-elastic | src/graphene_elastic/tests/test_source_backend.py | test_source_backend.py | py | 3,125 | python | en | code | 71 | github-code | 50 |
14440020787 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Dec 19 20:09:54 2019
@author: Juliane
"""
from helpers_DNN import *
from models_DNN import *
from keras.utils import to_categorical
from sklearn.model_selection import train_test_split
EMBEDDING_DIM = 30
BATCH_SIZE = 512
EPOCHS = 260
### Build simpl... | Florent-Sierro/ML_Project_2 | src/main_DNN.py | main_DNN.py | py | 1,616 | python | en | code | 0 | github-code | 50 |
3675159960 | import timeit
# import random
# alist = random.sample(range(1,101),20) #random.sample()生成不相同的随机数
# print(alist)
# 常用排序算法练习
# 所有排序算法都仅考虑升序排列，降序仅需要反一下即可
# 选择排序算法：
# 一句话：从前往后，每个位置选出从此至结尾中最小的
# 默认升序排列一个列表，否则降序
# 思想在于从头开始，两两对比，通过小的占据当前位置，每次选出当前位置最小(升序）或者最大（降序）的值占位，后移一位，直至循环结尾完成排序
# 属于“从前往后”的排序，平均时间复杂度O(n²)
def selection_... | jasonshaw/learningpython | test.py | test.py | py | 8,663 | python | zh | code | 0 | github-code | 50 |
38949396195 | # read schematic functions
from libraries import constants as ct
from libraries import globals as gb
from libraries import schematics as sch
from libraries import meta_elements as me
from libraries import html_elements as he
from libraries import string_processes as sp
from libraries import header
from libraries import... | MickyHCorbett/MorfLess | libraries/read_schematic.py | read_schematic.py | py | 22,611 | python | en | code | 0 | github-code | 50 |
32156594739 | import time
import datetime
import pandas as pd
import numpy as np
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
Returns:
(s... | pranath/bikeshare_analysis | bikeshare.py | bikeshare.py | py | 8,092 | python | en | code | 0 | github-code | 50 |
33125097077 |
import pytest
from . import moduleInstalled
pytestmark = pytest.mark.skipif(not moduleInstalled('sqlite3'), reason = 'sqlite3 is not installed.')
import sqlite3
from medoo.base import Base
from medoo.builder import Builder, Field
from medoo.dialect import Dialect
from medoo.database.sqlite import Sqlite, DialectSqli... | pwwang/pymedoo | tests/test_sqlite.py | test_sqlite.py | py | 3,203 | python | en | code | 15 | github-code | 50 |
10410201734 | import mdtraj
import numpy
import scipy
from scipy.spatial.transform import Rotation
import math
import sys
import csv
from shapely.geometry import Polygon, LinearRing, Point, LineString
from shapely.ops import polylabel
from shapely.validation import make_valid
import shapely
from PIL import Image, ImageDraw
import ar... | ts-hayden-dennison/pore_info | pore_info.py | pore_info.py | py | 13,353 | python | en | code | 0 | github-code | 50 |
70695901917 | import requests
from django.core.management.base import BaseCommand
from uk_political_parties.models import Party, PartyEmblem
class Command(BaseCommand):
def clean_party(self, party_id, party):
cleaned_party = {
"party_id": party_id,
"party_name": party["name"],
"reg... | DemocracyClub/electionleaflets | electionleaflets/apps/core/management/commands/import_parties.py | import_parties.py | py | 1,313 | python | en | code | 8 | github-code | 50 |
29991018390 | from functools import partial as p
import os
import string
from tests.helpers import fake_backend
from tests.helpers.util import wait_for, run_agent, run_container, container_ip
from tests.helpers.assertions import *
rabbitmq_config = string.Template("""
monitors:
- type: collectd/rabbitmq
host: $host
port:... | someword/signalfx-agent | tests/monitors/rabbitmq_test.py | rabbitmq_test.py | py | 1,758 | python | en | code | null | github-code | 50 |
3847494735 | # -*- coding: utf-8 -*-
"""
settings tab
"""
import curses
from curse.tab_gen import TabEntry
from curse.menu_gen import MenuEntry
from curse.list_gen import List
class TabSettings(TabEntry):
""" setting tab """
def __init__(self, parent):
""" initialisation """
TabEntry.__init__(self, '... | sensini42/flvdown | curse/tab_settings.py | tab_settings.py | py | 2,117 | python | en | code | 3 | github-code | 50 |
20058427342 | import nltk as mahedi
print("1. Bangladesh\n2. Taj Mahal\n3. Unreal Engine\n4. BCB\n5. kuet")
a = int(input("Choose an option: "))
if a == 1:
f = open("trial.txt", "r")
str = f.read()
elif a == 2:
f = open("tajMahal.txt", "r")
str = f.read()
elif a == 3:
f = open("unreal.txt", "r")
... | Prime1996/Quizzy | jbgv.py | jbgv.py | py | 2,303 | python | en | code | 1 | github-code | 50 |
16075610767 | # Import the SDK and the client module
import asyncio
import os
import requests
from label_studio_sdk import Client
from const import LABEL_STUDIO_URL, API_KEY, IMPORT_PATH, PROJ_ID
async def upload_img(path):
# Upload the files in ./img
headers = {
'Authorization': 'Token ' + API_KEY,
}
fil... | haifengjia/Label-Studio-PyScripts | importer.py | importer.py | py | 1,378 | python | en | code | 0 | github-code | 50 |
38764130509 | # Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
'''All algos Time: O(n) Space: O(h) (=O(logn) if balanced otherwise O(n))'''
... | coldmanck/leetcode-python | 0100_Same_Tree.py | 0100_Same_Tree.py | py | 1,401 | python | en | code | 5 | github-code | 50 |
44054688012 | from django.db import models
from django.conf import settings
class YoutubeCredential(models.Model):
class Meta:
db_table = 'youtube_credentials'
verbose_name = 'Youtube Credential'
verbose_name_plural = 'Youtube Credentials'
account_id = models.OneToOneField(
settings.AUTH_US... | TonysHub/collaberr-backend | core/api/youtube_analytics/models/auth.py | auth.py | py | 818 | python | en | code | 1 | github-code | 50 |
37210978312 | from typing import Dict, Union
from django.utils.translation import gettext as _
from rest_framework import serializers
from authentication.models import User
from content.models import Resource, Task, Topic
from utils.utils import (
validate_creation_and_deletion_dates,
validate_creation_and_deprecation_date... | PabloSSena/activist | backend/events/serializers.py | serializers.py | py | 5,342 | python | en | code | null | github-code | 50 |
32660302619 | '''
Created on Oct 12, 2018
@author: purboday
'''
from riaps.run.comp import Component
import logging
import time
import os
class Seller(Component):
def __init__(self, sellernum):
super(Seller, self).__init__()
self.pid = os.getpid()
now = time.ctime(int(time.time()))
self.logger.... | purboday/UGridAuction | ugrig_auction/Seller.py | Seller.py | py | 4,992 | python | en | code | 2 | github-code | 50 |
26240052838 | import langchain
from langchain import OpenAI, LLMChain, PromptTemplate, SerpAPIWrapper, LLMMathChain, GoogleSearchAPIWrapper
from langchain.memory import ConversationBufferMemory, ConversationSummaryMemory
from langchain.agents import load_tools, initialize_agent, Tool, AgentType
from langchain.callbacks import get_op... | kpister/prompt-linter | data/scraping/repos/cfa532~chroma-langchain-tutorial/GPTClone.py | GPTClone.py | py | 3,951 | python | en | code | 0 | github-code | 50 |
36082321562 | import psycopg2
class DatabaseConnection:
def __init__(self, connect_args=None):
with open('password.txt') as f:
password = f.readline()
try:
if connect_args is None:
self.connection = psycopg2.connect('dbname=jeopardy user=luke password=' + password)
... | lukelavin/J-Archive-Parser | DatabaseConnection.py | DatabaseConnection.py | py | 7,785 | python | en | code | 0 | github-code | 50 |
40427726123 | import time
def CountFrequency(mylist):
#creating an empty dictionary
freq={}
for item in mylist:
if(item in freq):
freq[item] += 1
else:
freq[item] = 1
for key,value in freq.items():
print("%d : %d"%(key,value))
#driver funtion
if __name__ == "__main... | ArnabBasak/PythonRepository | Python_Programs/frequenceCount.py | frequenceCount.py | py | 1,130 | python | en | code | 0 | github-code | 50 |
46722441828 | from socket import *
import binascii
from scapy.all import *
import json
import os
from ipaddress import *
import ser_fct
import datetime
serverPort = 67
serverSocket = socket.socket(socket.AF_INET,socket.SOCK_DGRAM)
#pour permettre la réutilisation d'adresse et le bind() sur des ports réservés
serverSocke... | Arouiwassim/DHCP-Server | server.py | server.py | py | 5,263 | python | fr | code | 0 | github-code | 50 |
69812516317 | import dash
# external_stylesheets = ['https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css']
# meta_tags are required for the app layout to be mobile responsive
app = dash.Dash(
__name__,
suppress_callback_exceptions=True,
meta_tags=[
{"name": "viewport", "content": ... | Makoto1021/coco | app.py | app.py | py | 467 | python | en | code | 0 | github-code | 50 |
13883021239 | """
Created on Thu May 11 10:19:01 2017
@author: Viktor Andersson
"""
# This .py file is about loading a data frame with the help of Pandas, and then preprocess the data into a arbitrary format.
# TODO: Should save corresponding numbers to a file
# String compare
import csv
import os
from pathlib import Path
... | AiLogisticsTeam2017/ArtInt | LogisticsSimulation/DataPreprocessing.py | DataPreprocessing.py | py | 18,376 | python | en | code | 0 | github-code | 50 |
40248679760 | import FWCore.ParameterSet.Config as cms
from FWCore.ParameterSet.VarParsing import VarParsing
from Configuration.Eras.Era_Run3_cff import Run3
options = VarParsing('analysis')
options.register("doSim", True, VarParsing.multiplicity.singleton, VarParsing.varType.bool)
options.register("cmssw", "CMSSW_X_Y_Z", VarParsin... | cms-sw/cmssw | Validation/MuonCSCDigis/test/runCSCDigiHarvesting_cfg.py | runCSCDigiHarvesting_cfg.py | py | 2,247 | python | en | code | 985 | github-code | 50 |
29634270624 | #!/usr/bin/env python3.5
"""A simple gameserver based on asyncio that returns
random states for submitted flags.
./gameserver-asyncio.py [host] [port]"""
import sys
import socket
import re
import asyncio
import random
import codecs
HOST = '127.0.0.1'
PORT = 8888
STATES = [b'expired', b'no such flag', b'accepted',
... | takeshixx/ctfpwn | tests/gameserver-asyncio.py | gameserver-asyncio.py | py | 1,990 | python | en | code | 0 | github-code | 50 |
35571579331 | import sys
import numpy
import datetime
import re
import collections
from collections import OrderedDict
import math
import time
##
## STRING DEFINITIONS - constant strings of files that were used and additional info that couldn't be pulled from the files
##
ref_assembly_str = ',assembly=b37'
ref_md5_str = ',md5=bb77... | apanajotu/GI | GI Projekat/variant_call_binom.py | variant_call_binom.py | py | 16,784 | python | en | code | 0 | github-code | 50 |
36869289244 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
from threading import Event, Thread
def countdown(n, started_evt):
print('start')
started_evt.set()
while n > 0:
print(n)
n -= 1
time.sleep(5)
started_evt = Event()
print('Launching countdown')
t = Thread(target=countdown... | YellowDong/experience | python_learning/threading/thread.py | thread.py | py | 414 | python | en | code | 0 | github-code | 50 |
3664284212 | import argparse
import random
import warnings
from datetime import datetime
import pickle
import matplotlib.pyplot as plt
import numpy as np
import torch
from opacus import PrivacyEngine
from opacus.utils.batch_memory_manager import BatchMemoryManager
from torch.optim.lr_scheduler import ReduceLROnPlateau
from utils... | mrchntia/ScaleNorm | semantic_segmentation/hist_plot.py | hist_plot.py | py | 6,311 | python | en | code | 1 | github-code | 50 |
14825640393 | from PIL import Image,ImageDraw
from utils.operation import YOLO
def detect(onnx_path='ReqFile/yolov5n-7-k5.onnx',img_path=r'ReqFile/bus.jpg',show=True):
'''
检测目标，返回目标所在坐标如：
{'crop': [57, 390, 207, 882], 'classes': 'person'},...]
:param onnx_path:onnx模型路径
:param img:检测用的图片
:param show:是否展示
... | luosaidage/yolov5_onnx_server | detect.py | detect.py | py | 765 | python | en | code | 35 | github-code | 50 |
33912968454 | '''
Ejercicio 4 de la guía Nº3
Utilizando la interación while, recibe como entrada
dos números de inicio y final e informa cuantos números de ellos
son múltiplos de 2 y 7
según entendi de esto, que da un intervalo de números y a apartir de ahí
te dice cuales son los números que están en ese intervalo que son
múltiplos... | sebacassone/programacion_ejercicios | Python/Cátedra/34.py | 34.py | py | 730 | python | es | code | 1 | github-code | 50 |
16091772252 | import socket
import re
pattern = r'(^|\s)[-a-z0-9_.]+@([-a-z0-9]+\.)+[a-z]{2,6}(\s|$)'
file = open("T25.4_file.txt")
sock = socket.socket()
host, port = socket.gethostname(), 12345
sock.connect((host, port))
sock.send(pattern.encode())
msg = sock.recv(1024).decode()
print(msg)
for line in file:
sock.send(' '.... | andriidem308/python_practice | matfiz_tasks/Topic25_Sockets/T25.4_client.py | T25.4_client.py | py | 416 | python | en | code | 1 | github-code | 50 |
71371652634 | import gspread
from oauth2client.service_account import ServiceAccountCredentials
import matplotlib.pyplot as plt
scope = ["https://www.googleapis.com/auth/spreadsheets",
"https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name('credentials.json', scope)
client = gspr... | Raj326/Monitoramento-de-Ambiente | dashboard.py | dashboard.py | py | 1,457 | python | en | code | 0 | github-code | 50 |
24162568413 | from data import Hospitals, StatisticsStudent
import matplotlib.pyplot as plt
from copy import deepcopy
import numpy as np
import assignments
import lpsolver
import csv
import random
import pandas as pd
import collections
from matplotlib.ticker import MaxNLocator
import glob
def make_student_list(hospitals):
stud... | adielcahana/OneSideMatching | simulations.py | simulations.py | py | 16,922 | python | en | code | 0 | github-code | 50 |
43953129748 | def sma(prices, nday):
sma_data = [0] * len(prices)
for i in range(nday, len(prices)):
sma_data[i] = sum(prices[i - nday:i]) / nday
return sma_data
def read_data(file):
f = open(file)
f.seek(0)
all_data = f.read()
all_data_list = all_data.split('\n')
data = [x.split... | akirayang0521/Akira-Python | CIS191 Introduction to Programming/hw4_costco_stock_sma_yang.py | hw4_costco_stock_sma_yang.py | py | 1,737 | python | en | code | 0 | github-code | 50 |
7338054873 | import random as random
import numpy as np
import pandas as pd
class Operation:
def __init__(self,operation):
self.operation=operation
self.number1, self.number2, self.number3 = self.election(operation)
self.printer = self.printing(operation)
def election(self,operation):
if... | tgquintela/educational-content | Computation exams/classes.py | classes.py | py | 7,360 | python | en | code | 0 | github-code | 50 |
17773861568 | from inspect import Attribute
from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from . models import Sale
from . forms import SaleForm
from . utils import searchSales
# Create your views here.
@login_required(login_url='login')
def sales(request):
sales, searc... | nguonodave/shell-POS-mgt-syst | sales/views.py | views.py | py | 1,277 | python | en | code | 0 | github-code | 50 |
72909929436 | # 将下载的CALIPSO数据按天分类，存放到相应的文件夹下
# CAL_LID_L2_01kmCLay-Standard-V4-20.2007-12-31T23-51-28ZN.hdf --> ./20071231/
# CAL_LID_L2_01kmCLay-Standard-V4-20.2008-01-01T00-37-48ZD.hdf --> ./20080101/
# ...
# CAL_LID_L2_01kmCLay-Standard-V4-20.2008-12-31T23-15-13ZD.hdf --> ./20081231/
import os
import shutil
import pandas a... | eraevil/No-trash | neaten_CALIPSO_data/src/handle.py | handle.py | py | 1,773 | python | en | code | 0 | github-code | 50 |
29593535843 | from typing import Dict, Tuple
import torch
from torch.utils.data import DataLoader
from model import NNModel
from utils import try_gpu
def valid(model: NNModel, test_loader: DataLoader) -> float:
correct = 0
total = 0
model.eval()
with torch.no_grad():
for data in test_loader:
... | wararaki718/scrapbox4 | ml_sample/sample_influence_balanced_loss/valid.py | valid.py | py | 1,683 | python | en | code | 0 | github-code | 50 |
22058821747 | #Brandon Jones
#2/26/19
#Jones_M3P1
#This program will find the highest,lowest,average,and total of a set of data
def main():
num=int(input("Enter how many numbers you would like to enter: "))
my_list=[0]*num
for index in range(num):
number=int(input("Enter a value: "))
my_list[in... | Jonesb5977/csc121 | Jones_M3P1.py | Jones_M3P1.py | py | 595 | python | en | code | 0 | github-code | 50 |
10670365119 | import numpy as np
import subprocess
all_iterations = []
batch_sizes = [1, 2, 3, 4, 5, 8, 10, 15, 20, 25, 50]
for j in batch_sizes:
iterations = []
for i in range(0, 100):
command = "./planner.sh --algorithm bspi --mdp data/MDP50_%d.txt --batchsize %d" % (i, j)
it = int(subprocess.check_outpu... | martiansideofthemoon/cs747-assignments | assign2/run_bspi.py | run_bspi.py | py | 559 | python | en | code | 0 | github-code | 50 |
71061066074 | import base64
import csv
import io
from odoo import api, models, fields
import xmlrpc.client
class ImportCsvEstatePropertyWizard(models.TransientModel):
_name = "import.csv.estate.property.wizard"
_description = "Wizard to load Properties from CSV"
# your file will be stored here:
csv_file = fields... | CodeBreakerMG/Tesis-Odoo-Contabilidad | odoo/custom_addons/estate/wizards/import_csv_estate_property_wizard.py | import_csv_estate_property_wizard.py | py | 3,262 | python | en | code | 0 | github-code | 50 |
35855005883 | nomes = []
def menor_nome(list):
"""
-> Função devolve o menor mome escrito
param: lista de nomes
"""
menor = cont = 0
for i in list:
a = len(i)
if cont == 0:
menor = a
nome_m = i.capitalize()
if a < menor:
menor = a
nome_m ... | SricardoSdSouza/Curso-da-USP | Coursera 2/exercicios da aula/str_menor.py | str_menor.py | py | 890 | python | pt | code | 0 | github-code | 50 |
21001568320 | import pandas as pd
import re
from datetime import datetime
import os
import logging
def transform_data(data):
# -- Logging
path = 'C:/Users/Jhonatans/projects/ETL/Etl-Car-Recommendation/'
if not os.path.exists(path + 'logs'):
os.makedirs(path + 'logs')
logging.basicConfig(
filename= ... | Jhonatanslopes/Etl-Car-Recommendation | src/transform.py | transform.py | py | 3,645 | python | en | code | 0 | github-code | 50 |
28324708686 | # -*- coding: utf-8 -*-
from odoo import api, fields, models, _
from odoo.exceptions import UserError, RedirectWarning
import time
import json
import requests
from werkzeug import urls
import logging
_logger = logging.getLogger(__name__)
TIMEOUT = 20
GOOGLE_AUTH_ENDPOINT = 'https://accounts.google.com/o/oauth2/aut... | pman-jvm/totaltools-v15 | website_google_merchant_center/models/google_merchant_center.py | google_merchant_center.py | py | 14,207 | python | en | code | 0 | github-code | 50 |
14268944897 | from django.urls import path
from api.views.film import FilmRetrieveUpdateAPIView, FilmListAPIView
app_name = 'film'
urlpatterns = [
path('<int:id>/', FilmRetrieveUpdateAPIView.as_view(), name='film-detail'),
path('list/', FilmListAPIView.as_view(), name='film-list')
]
| Eugen1y/Cinema | api/urls/film.py | film.py | py | 282 | python | en | code | 0 | github-code | 50 |
9642440681 | from pathlib import Path
import setuptools
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
setuptools.setup(
name="streamlit-camera-input-live",
version="0.2.0",
author="Zachary Blackwood",
author_email="zachary@streamlit.io",
description="Alte... | blackary/streamlit-camera-input-live | setup.py | setup.py | py | 798 | python | en | code | 13 | github-code | 50 |
23476658762 | #모범답안
import heapq
def solution(food_times, k):
if k >= sum(food_times):
return -1
#시간이 적은 음식부터 빼야 하므로 순서대로 정렬
q = []
for i in range(len(food_times)):
#(음식시간, 음식번호)형태로 우선순위 큐에 삽입
heapq.heappush(q, (food_times[i], i+1))
sum_value = 0#먹기위해 사용한 시간
previous = 0#직전에 다먹은 시간
... | Gyeony95/Algorithm-Solution | 2020-09/프로그래머스/프로그래머스_카카오_무지의 먹방 라이브2.py | 프로그래머스_카카오_무지의 먹방 라이브2.py | py | 934 | python | ko | code | 0 | github-code | 50 |
19492639639 | from flow.el.elCable import ElCable
class SinglePhaseMvCable(ElCable):
def __init__(self, name, flowSim, nodeFrom, nodeTo, host, connectedPhase=0):
ElCable.__init__(self, name, flowSim, nodeFrom, nodeTo, host)
self.devtype = "ElectricitySinglePhaseMediumVoltageCable"
self.hasNeutral = True
self.phases = 1... | utwente-energy/demkit | components/flow/el/singlePhaseMvCable.py | singlePhaseMvCable.py | py | 1,005 | python | en | code | 11 | github-code | 50 |
23349911421 | import boto3
region = 'us-east-1'
tagvalue = 'mbiii'
lstinstance = list(())
ec2 = boto3.client('ec2', region_name=region)
def lambda_handler(event, context):
response = ec2.describe_instances(
Filters=[
{
'Name': 'tag:usecase',
'Values': [tagvalue]
... | ratokeshi/aws-lambda-ec2-instance-control | instanceec2list.py | instanceec2list.py | py | 841 | python | en | code | 0 | github-code | 50 |
28491020588 | import tensorflow as tf
def text_conv(embedding_input,filter_size,filter_num,var_scope=None,pooling_method='max',mode='train',dropout_rate=None):
with tf.variable_scope(var_scope or 'text_conv',reuse=tf.AUTO_REUSE):
embedding_input=tf.cast(embedding_input,dtype=tf.float32,name='change_float')
conv=... | DDigimon/NLPDemo | ModelLayers/ConvLayer.py | ConvLayer.py | py | 834 | python | en | code | 1 | github-code | 50 |
4106942657 | from datasets import MedicalDataset
from tqdm import tqdm
class ToyDataset(MedicalDataset):
def __getitem__(self, idx):
return self.get_sample(idx)
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
from scipy.ndimage.morphology import binary_dilation, distance_trans... | ubar667/radiotherapy_dose_prediction_kaggle | datasets/toy_dataset.py | toy_dataset.py | py | 2,171 | python | en | code | 0 | github-code | 50 |
15252893093 | #!/usr/bin/env python3
from pwn import *
binary = context.binary = ELF('./one_piece')
context.log_level = 'INFO'
context.log_file = 'log.log'
'''
# local libc
libc = binary.libc
p = process(binary.path)
'''
# task libc
libid = 'libc6_2.30-0ubuntu2.2_amd64'
libpath = os.getcwd() + '/libc-database/libs/' + libid + '/'... | datajerk/ctf-write-ups | fwordctf2020/one_piece/exploit.py | exploit.py | py | 1,680 | python | en | code | 116 | github-code | 50 |
21923686793 | import time
from helpers import *
from enums import *
from preprocess import *
from solution import *
import math
"""
Process method -
This method contains the main instance processing and modeling logic
"""
def process(data):
if not data: return None
courses, periods, \
slots_per_day, teachers, \
con... | SynimSelimi/examination-timetabling | src/__main__.py | __main__.py | py | 8,115 | python | en | code | 1 | github-code | 50 |
26245664178 | import asyncio
import re
import requests
import openai
from bs4 import BeautifulSoup
from googleapiclient.discovery import build
from logger import setup_logger
from keys import OPENAI_KEY, GOOGLE_SEARCH_API, GOOGLE_SEARCH_ID
# Set up logger
logger = setup_logger('google_interests')
# Set up OpenAI API
openai.api_key... | kpister/prompt-linter | data/scraping/repos/dimitri-sky~Aisha-AI-Demo/google_interests.py | google_interests.py | py | 6,158 | python | en | code | 0 | github-code | 50 |
16456969342 | import argparse
import copy
import hypergrad as hg # hypergrad package
import math
import numpy as np
import os
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.transforms as transforms
from torchvision import datasets
#################################################... | TrueNobility303/F2BA | single_machine/data_cleaning.py | data_cleaning.py | py | 17,970 | python | en | code | 0 | github-code | 50 |
22948851168 | #!/usr/bin/env python2
import valve.source.a2s as a2s
import os
import sys
import socket
import time
import supervisor.xmlrpc
import xmlrpclib
supervisor_socket = "unix:///tmp/supervisor.sock"
try:
location = os.environ["LOCATION"]
if location not in ("DE", "IL", "AU", "NL"):
raise KeyError
except Key... | QLRace/server-settings | server_monitor.py | server_monitor.py | py | 2,764 | python | en | code | 2 | github-code | 50 |
70204237595 | #This solution gives 100% accuracy
#!/bin/python3
import math
import os
import random
import re
import sys
import decimal
#
# Complete the 'plusMinus' function below.
#
# The function accepts INTEGER_ARRAY arr as parameter.
#
def plusMinus(arr):
length_arr = len(arr)
positive_num_length = l... | M-Umr/Python_Language_Prepration | HackerRank/plus_minus.py | plus_minus.py | py | 1,090 | python | en | code | 1 | github-code | 50 |
12359666247 | import unittest
from selenium.webdriver.chrome.service import Service
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from selenium.webdriver.common.by import By
class RegisterNewUser(unittest.TestCase):
@classmethod
def setUp(cls) -> None:
service = Service(executable... | Kerepakupai/seleniumProject | select_language.py | select_language.py | py | 1,510 | python | en | code | 0 | github-code | 50 |
21643310861 | import shutil
import glob
import subprocess
import os
import pandas as pd
'''by James C. Hu
This script will:
1) peform ivar variant calling on all bam files within a directory.
2) Pull and combine variant data based on locations given by input file.
'''
# pandas terminal output options
pd.options.display.max_columns... | ASU-Lim-Lab/Variant_calling | Variant_calling/ivar_covidseq.py | ivar_covidseq.py | py | 2,324 | python | en | code | 0 | github-code | 50 |
34650130706 | # 3D柱状图
import random
from pyecharts import options as opts
from pyecharts.charts import Bar3D
# 生成测试数据
data = [[x, y, random.randint(10, 40)] for y in range(7) for x in range(24)]
hours = ['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am', '10am', '11am', '12pm', '1pm', '2pm', '3pm', '4pm', '5pm'... | dairui2/MATLAB | chapter10/10.3.py | 10.3.py | py | 1,115 | python | en | code | 1 | github-code | 50 |
15960309264 | import copy
from typing import Any, Dict, Optional, Set, Tuple, Union
import torch
from torch import Tensor
from torch_scatter import scatter_min
from torch_geometric.data import Data, HeteroData
from torch_geometric.data.storage import EdgeStorage
from torch_geometric.typing import EdgeType, OptTensor
# Edge Layout... | myhz0606/pytorch_geometric | torch_geometric/sampler/utils.py | utils.py | py | 5,280 | python | en | code | null | github-code | 50 |
31175971463 | from re import split
from typing import Optional, Self
def contains_item_at_every_pos(string, items):
for i in range(len(string)):
found_match = False
for item in items:
if string[i] == item:
found_match = True
break
if not found_match:
... | PythonDominator/Pybattle | lexer.py | lexer.py | py | 7,457 | python | en | code | 8 | github-code | 50 |
11956147421 | import numpy as np
import cv2
import os
fname = 'image' # folder name
def getcurpath():
return os.path.dirname(os.path.abspath(__file__))
curpath = getcurpath()
imagepath = os.path.join(curpath, fname)
imname = '%s\Cattura.png' % (imagepath)
img = cv2.imread(imname, 0)
cv2.imshow('image', img)
k = cv2.waitKey(0... | StormFox23/playground-python | image/vision/main.py | main.py | py | 448 | python | en | code | 2 | github-code | 50 |
40033668017 | from pymongo.cursor import Cursor
from app.database.database import DbManager
from app.database.models import Activity, User
from app.config import Settings
class ActivitiesManager(DbManager):
def __init__(self, settings: Settings, user: User) -> None:
super().__init__(settings.mongodb_host, settings.mon... | rgmf/fit_galgo_api | app/database/activities.py | activities.py | py | 854 | python | en | code | 0 | github-code | 50 |
28076246722 | # -*- coding: utf-8 -*-
"""
@Author 坦克手贝塔
@Date 2023/5/7 14:24
"""
from collections import Counter
from typing import List
"""
"""
"""
思路：如果一个数对 (a,b) 之和能被 60 整除，即 (a+b)mod60=0，那么 (amod60+bmod60)mod60=0，不妨记 x=amod60, y=bmod60，那么有
(x+y)mod60=0，即 y=(60−x)mod60。因此，我们可以遍历歌曲列表，用一个长度为 60 的数组 cnt 记录每个余数 x 出现的次数。对于... | TankManBeta/LeetCode-Python | problem1010_medium.py | problem1010_medium.py | py | 957 | python | zh | code | 0 | github-code | 50 |
40428441663 | from tkinter import *
import pymysql
from tkinter import messagebox
top = Tk()
top.title('DataBase Interface')
L1 = Label(text="First Name")
L1.place(x=10,y=10)
L1.pack()
E1 = Entry(bd = 5)
E1.pack()
L2 = Label(text = "Last Name")
L2.place(x=10,y=500)
L2.pack()
E2 = Entry(bd = 5)
E2.pack()
def getcontent():
E1cont... | ArnabBasak/PythonRepository | python code.py | python code.py | py | 983 | python | en | code | 0 | github-code | 50 |
16252026350 | import pytest
from pytest_mock import mocker
from lib.character import Character
from lib.spell import Spell
def test_morgue_filepath():
local_mode = True
character = Character(name="GucciMane", local_mode=local_mode)
expected_filepath = f"/Users/begin/Library/Application Support/Dungeon Crawl Stone Soup/... | davidbegin/morguebot | test/test_character.py | test_character.py | py | 2,942 | python | en | code | 6 | github-code | 50 |
36062014752 | from rest_framework.permissions import BasePermission
class CoursesPermission(BasePermission) :
def has_permission(self, request, view) :
if request.method == 'POST' and request.user.is_superuser == True :
return True
if request.method == 'GET' :
... | nicole-malaquias/Kanvas | course/permissions.py | permissions.py | py | 811 | python | en | code | 1 | github-code | 50 |
42442587154 | import ckan.model as model
import ckan.logic as logic
from ckan.common import c, _
def get_ksa_helpers():
return dict(
ksa_bit_check=ksa_bit_check,
ksa_group_list = ksa_group_list,
get_ksa_group_img = get_ksa_group_img,
relation_attrs_update=relation_attrs_update,
relations_displa... | Yesser-GitHub/ckanext-iar | ckanext/ksaiar/helpers.py | helpers.py | py | 1,437 | python | en | code | 0 | github-code | 50 |
15253837283 | #!/usr/bin/env python3
from pwn import *
binary = context.binary = ELF('./chall_15')
if not args.REMOTE:
p = process(binary.path)
else:
p = remote('chal.2020.sunshinectf.org', 30015)
p.sendline()
p.recvuntil('There\'s a place where nothing seems: ')
_ = p.recvline().strip()
stack = int(_,16)
log.info('stack: ' + ... | datajerk/ctf-write-ups | sunshinectf2020/speedrun/exploit_15.py | exploit_15.py | py | 953 | python | en | code | 116 | github-code | 50 |
29575496776 | import re
inputs=int(input())
answer=0
for x in range(inputs):
str=input().lower()
if len(re.findall("pink",str))>0 or len(re.findall("rose",str))>0:
answer+=1
if answer==0:
print ('I must watch Star Wars with my daughter')
else:
print(answer) | blueflotsam/Kattis-Solutions | python/fiftyshadesofpink.py | fiftyshadesofpink.py | py | 262 | python | en | code | 0 | github-code | 50 |
8630029592 | # python3
import math
def nums(num1):
length_low=len(str(num1[0]))
length_upper=len(str(num1[1]))
num=[]
z=[]
for a in range(length_low,length_upper+1):
#print(a)
for c in range(1,11-a):
length_low_usage=a
inter=0
for b in range(c,11):
... | bharadwajvaduguru8/leetcode_contests | question.py | question.py | py | 956 | python | en | code | 0 | github-code | 50 |
12418676814 | import scrapy
class StatesSpider(scrapy.Spider):
name = 'states'
allowed_domains = ['www.earthquaketrack.com'] # http/s is prohibited in this list var
start_urls = ['https://www.earthquaketrack.com/p/myanmar/recent']
def parse(self, response):
#rows = response.xpath("(//div[@class='quakes-in... | thonenyastack/earthquake_scan | spiders/states.py | states.py | py | 1,422 | python | en | code | 0 | github-code | 50 |
11259784429 | import os
import numpy
from kaggle_imgclassif.cassava.data import CassavaDataModule, CassavaDataset
from tests import _ROOT_DATA
PATH_DATA = os.path.join(_ROOT_DATA, "cassava")
def test_dataset(path_data=PATH_DATA):
dataset = CassavaDataset(
path_csv=os.path.join(path_data, "train.csv"),
path_... | Borda/kaggle_image-classify | tests/cassava/test_data.py | test_data.py | py | 760 | python | en | code | 38 | github-code | 50 |
18677190464 | import pytest
from pycfmodel.model.resources.iam_role import IAMRole
@pytest.fixture()
def iam_role():
return IAMRole(
**{
"Type": "AWS::IAM::Role",
"Properties": {
"AssumeRolePolicyDocument": {
"Version": "2012-10-17",
"Stat... | midisfi/pycfmodel | tests/resources/test_iam_role.py | test_iam_role.py | py | 1,149 | python | en | code | null | github-code | 50 |
70978041757 | from os import environ
from os.path import join, dirname
import gzip
import glob
import pandas as pd
from .dataset_modification import (
taxa_to_organism,
)
from .constants import (
RANK_LIST,
ALLOWED_SUPERKINGDOMS,
CANONICAL_RANKS,
ROOT_RANK,
)
NCBI_DELIM = '\t|' # really...
NAM... | dcdanko/MD2 | microbe_directory/taxa_tree.py | taxa_tree.py | py | 7,927 | python | en | code | 16 | github-code | 50 |
21119742709 | import numpy as np
import os
import sys
import itertools
import pickle
from typing import MutableMapping
import pandas as pd
from tqdm import tqdm
import string
try:
import ntpath
except ImportError as e:
raise ImportError("Import dependency not met: %s" % e)
import inspect
import errno
# FNA imports
from fna... | zbarni/re_modular_seqlearn | src/utils/parameters.py | parameters.py | py | 31,563 | python | en | code | 1 | github-code | 50 |
35933395089 | import sys
from PyQt5.QtWidgets import QApplication, QDialog, QPushButton, QSlider, QVBoxLayout, QWidget, QFileDialog, QLabel, \
QTableWidgetItem
from PyQt5.QtGui import QPixmap, QImage, QColor, qRgb, QTransform
from PyQt5.QtCore import Qt
from PyQt5 import uic, QtCore
from PIL import Image, ImageEnhance, ImageFilt... | Sofi-s/projectQT | csv_table.py | csv_table.py | py | 2,148 | python | en | code | 0 | github-code | 50 |
24616134687 | from copy import deepcopy
from queue import Queue
from typing import Set, Dict, Tuple, List, FrozenSet
from pulp import pulp, PULP_CBC_CMD
from pip._vendor.colorama import Fore, Style
from agbs.abstract_domains.state import State
from agbs.abstract_domains.symbolic_domain import substitute_in_dict, evaluate_with_cons... | caterinaurban/A-GBS | src/agbs/engine/agbs_interpreter.py | agbs_interpreter.py | py | 20,949 | python | en | code | 2 | github-code | 50 |
73386469274 | '''
lab13_exercises.py
You will write a class called MathQuiz. It will contain five (5) methods
and simulate a student taking a basic math quiz.
The __init__ method will have three parameters: self, the student name, and a file name.
Assign the names to instance variables and create four more:
a score set to 0,... | ksh1ng/python_Exercise | lab13_exercises.py | lab13_exercises.py | py | 3,581 | python | en | code | 1 | github-code | 50 |
73144689435 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import shutil
import unittest
import git
from gitenberg.local_repo import LocalRepo
class TestLocalRepo(unittest.TestCase):
relative_test_repo_path = './gitenberg/tests/test_data/test_repo'
def setUp(self):
git.Repo.init(self.relative_test_re... | gitenberg-dev/gitberg | gitenberg/tests/test_local_repo.py | test_local_repo.py | py | 2,078 | python | en | code | 105 | github-code | 50 |
7257311945 | import os
import pandas as pd
from sklearn.externals import joblib
from settings import SAVE_MODEL_PATH, SAVE_PREDICTION_PATH, TESTING__DATA_PATH, TRAINING__DATA_PATH
def read_dataframe(path, type='csv'):
dir_path = os.path.abspath(os.path.dirname(__file__))
abs_path = os.path.join(dir_path, path)
if typ... | ahmedezzeldin93/heyjobs | job_app/utils.py | utils.py | py | 1,561 | python | en | code | 0 | github-code | 50 |
1156488675 |
def to_file_fasta(item, selection='all', structure_indices='all', output_filename=None, syntaxis='MolSysMT'):
from molsysmt.tools.biopython_Seq import is_biopython_Seq
from molsysmt.basic import convert
if not is_biopython_Seq(item):
raise ValueError
if output_filename is None:
raise... | uibcdf/MolSysMT | attic/form/biopython_Seq/to_file_fasta.py | to_file_fasta.py | py | 498 | python | en | code | 11 | github-code | 50 |
25292007954 | """
Train a simple GNN model on
gamma data
"""
import numpy as np
from matplotlib import pyplot as plt
from gamma_gnn.dataset.gamma import GammaDataset
from gamma_gnn.utils.loader import Loader
from gamma_gnn.models import GNN
from gamma_gnn.optimizers import Optimizer
from gamma_gnn.losses import LossHandler
from ga... | Neutron-Calibration-in-DUNE/NeutronCaptureGNN | examples/train_model.py | train_model.py | py | 3,160 | python | en | code | 0 | github-code | 50 |
5321499180 | # ITEMS AND DIALOG
# This is the list of items, their value (which is slightly changed for each trader), and their description
# template: {"name":"", "value":1, "desc":""},
ITEMS = [
{"name":"soggy cardboard", "value":1, "desc":"less than completely useless"},
{"name":"dry cardboard", "value":2, "desc... | jpsank/barter-game | params.py | params.py | py | 10,966 | python | en | code | 0 | github-code | 50 |
10942550044 | from flask import Flask, redirect, url_for, request,render_template
from sqlalchemy.orm import sessionmaker
from users import *
import os
from datetime import datetime
from sqlalchemy import desc
app = Flask(__name__)
engine = create_engine(os.getenv("DATABASE_URL"), echo=True)
Session = sessionmaker(bind = engine)
se... | ashishk144/wp2 | Day3/application.py | application.py | py | 1,580 | python | en | code | 0 | github-code | 50 |
8964200296 | '''
Сформувати функцію для обчислення цифрового кореню натурального числа.
Цифровий корінь отримується наступним чином: необхідно скласти всі цифри заданого
числа, потім скласти всі цифри знайденої суми і повторювати процес до тих пір, поки
сума не буде дорівнювати однозначному числу, що і буде цифровим коренем зад... | androshchyk11/lab10 | 2.py | 2.py | py | 1,643 | python | uk | code | 0 | github-code | 50 |
28014556955 | from django.conf.global_settings import * # NOQA
import hashlib
import os
import os.path
import socket
import sys
import urlparse
DEBUG = False
TEMPLATE_DEBUG = True
ADMINS = ()
INTERNAL_IPS = ('127.0.0.1',)
MANAGERS = ADMINS
APPEND_SLASH = True
PROJECT_ROOT = os.path.normpath(os.path.join(os.path.dirname(__fil... | ethnoua/ethnoua | src/ethnoua/conf/server.py | server.py | py | 4,425 | python | en | code | 0 | github-code | 50 |
30537171697 | import copy
import asyncio
import hashlib
from itertools import count
from typing import Optional
import printer
import conf_loader
import exceptions
from web_session import WebSession
from tasks.login import LoginTask
class User:
_ids = count(0)
__slots__ = (
'id', 'name', 'password'... | yjqiang/YjMonitor | monitor/user.py | user.py | py | 4,368 | python | en | code | 53 | github-code | 50 |
74679864475 | import json
# Read the JSON file
with open('config.json') as f:
data = json.load(f)
# Print the JSON data in a stylish format
print('## Configuration')
for key, value in data.items():
print('* {}: {}'.format(key, value))
| LearnerMN/Algorithm-Problems | uploader.py | uploader.py | py | 232 | python | en | code | 1 | github-code | 50 |
14349367715 | import sys
input = sys.stdin.readline
T = int(input())
def oneAndTwo(n):
return n // 2 + 1
for _ in range(T):
n = int(input())
answer = 0
for i in range(n // 3 + 1):
answer += oneAndTwo(n - 3*i)
print(answer) | Ohjintaek/Algorithm | Baekjoon/15989.py | 15989.py | py | 239 | python | en | code | 0 | github-code | 50 |
41630766675 | import requests
import csv
import os
from bs4 import BeautifulSoup
from unicodedata import normalize
from pathlib import Path
csvFileName = "alkohol.csv"
txtFileName = "alkohol.txt"
category = Path(txtFileName).stem
def getData(url):
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-... | Qlanowski/padt | swiadomezakupy/SwiadomeZakupyScrapper.py | SwiadomeZakupyScrapper.py | py | 3,098 | python | en | code | 0 | github-code | 50 |
17060508538 | import pygame
import pygame.gfxdraw
import sys
import time
import random
# the Label class is this module below
from label import *
pygame.init()
pygame.mixer.init()
#hit = pygame.mixer.Sound("sounds/hit.wav")
screen = pygame.display.set_mode((800, 800))
clock = pygame.time.Clock()
buttons = pygame.sprite.Gro... | Gravery/anime-selector | example.py | example.py | py | 8,260 | python | en | code | 0 | github-code | 50 |
9774737646 | class DictTrafo(object):
def __init__(self, trafo_dict=None, prefix=None):
if trafo_dict is None:
trafo_dict = {}
self.trafo_dict = trafo_dict
if type(prefix) is str:
self.prefix = (prefix,)
elif type(prefix) is tuple:
self.prefix = prefix
... | cnvogelg/amitools | amitools/vamos/cfgcore/trafo.py | trafo.py | py | 1,867 | python | en | code | 235 | github-code | 50 |
71623147035 | # -*- coding: utf-8 -*-
from PyQt4 import QtGui, QtCore
class MyTextPassage(QtGui.QGraphicsWidget):
def __init__(self, text, headline, width, font, parent=None):
QtGui.QGraphicsWidget.__init__(self, parent)
self.text = text
self.headline = headline
self.font = font
self.la... | CrazyCrud/interactiondesign-python | drill4_interaction_techniques/MyTextPassage.py | MyTextPassage.py | py | 907 | python | en | code | 1 | github-code | 50 |
13142596165 | import os
from pkg_resources import resource_filename
from click.testing import CliRunner
import pandas as pd
from qupid.cli.cli import qupid
def test_cli():
runner = CliRunner()
metadata_fpath = resource_filename("qupid", "tests/data/asd.tsv")
metadata = pd.read_table(metadata_fpath, sep="\t", index_c... | gibsramen/qupid | qupid/tests/test_cli.py | test_cli.py | py | 1,257 | python | en | code | 11 | github-code | 50 |
21037477056 | """SansaCloud URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-ba... | SeniorZas/UniProjects | Uni Projects/SansaCloud-master/SansaCloud-master/SansaCloud/urls.py | urls.py | py | 2,384 | python | en | code | 0 | github-code | 50 |
33862856363 | # using recursion -> backtacking
# time complexity: O(n^2)
# space complexity: O(n)
class Solution:
def letterCasePermutation(self, S: str) -> List[str]:
res = []
def dfs(i, path):
if i == len(S):
res.append(path)
return
if S[i].isalpha():
... | mykoabe/Competetive-Programming | PostCampProgress/Week1/5_letter_case_permutation.py | 5_letter_case_permutation.py | py | 509 | python | en | code | 1 | github-code | 50 |
41024672008 | """This module contains a helper for getting the sorting arguements figured
out"""
def get_sort_keys(given, allowed):
"""Check the list of given values and coerce them into the sort keys for mongo"""
keys = []
for key in given:
asc = True
if key[0] == ' ' or key[0] == '+':
a... | raghavach/beerAPI_raghu | beerpi/sort.py | sort.py | py | 543 | python | en | code | 0 | github-code | 50 |
7566053894 | class Catalog:
class Products:
products = {'css': '.product-layout'}
product_image = {'css': products['css'] + ' .image'}
product_name = {'css': products['css'] + ' .caption h4'}
class Buttons:
button_group = {'css': '.button-group'}
add_to_cart_button = {'css': button_g... | maslovaleksandr/opencart_tests | locators/Catalog.py | Catalog.py | py | 1,284 | python | en | code | 0 | github-code | 50 |
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