seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4251505090 | import asyncio
class AsyncRTSPClient:
def __init__(self, server, port):
self.server = server
self.port = port
self.reader = None
self.writer = None
async def read_headers(self):
bytes = await self.reader.readline()
line = bytes.decode('UTF-8')
# print("... | miurahr/asyncio-sample | client.py | client.py | py | 1,835 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "asyncio.open_connection",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "asyncio.run",
"line_number": 62,
"usage_type": "call"
}
] |
71075536680 | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import os, re, copy, itertools
import pandas as pd
import numpy as np
import torch
from torch.utils.data import Dataset
# from nltk.corpus import stopwords
class MultiseqDataset(Dataset):
"""Multimodal dat... | desmond-ong/TAC-EA-model | models/async/datasets.py | datasets.py | py | 14,215 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
25663627926 | from aiogram import types
from aiogram.dispatcher import FSMContext
from loader import dp, bot, logger
from states.user import UserStates
from swtichers import UserSwitchers
from view import buttons
@dp.message_handler(text=buttons.back, state=UserStates.SELECT_SUBJECT)
async def back_from_select_subject(message: ty... | freddy-prom/ITMOQueue | bot/handlers/user/select_subject.py | select_subject.py | py | 990 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "aiogram.types.Message",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
72095327079 | from django.forms import model_to_dict
from django.shortcuts import render
from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, redirect
from django.contrib.auth import login, logout, authenticate
from django.contrib.auth.mixins import LoginRequired... | xxy20020221/Backend | ScholarShare/Analysis/views.py | views.py | py | 5,982 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "UserManage.models.User.objects.get",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "UserManage.models.User.objects",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "UserManage.models.User",
"line_number": 53,
"usage_type": "name"
... |
23890675755 | from Scripts.DB import db_session
from Scripts.DB.users import User
import sqlalchemy.exc
async def start(update, context):
tguser = update.effective_user
user_id = update.message.from_user.id
user_name = update.message.from_user.name
try:
user = User()
user.id = int(user_... | APELSIN123/YandexBot | Scripts/Commands/start.py | start.py | py | 815 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "Scripts.DB.users.User",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Scripts.DB.db_session.create_session",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Scripts.DB.db_session",
"line_number": 19,
"usage_type": "name"
},
{
"... |
27442944567 | from pydantic import BaseModel
from telethon.tl.types import User
from typing import Optional
from cloudygram_api_server.models.asyncronous.base_response import BaseResponse
class UserData(BaseModel):
userId : Optional[str]
username : Optional[str]
firstName : Optional[str]
lastName : Optional[str]
... | rhighs/cgas | cloudygram_api_server/models/asyncronous/user_model.py | user_model.py | py | 973 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
38401603681 | import collections
def find_anagram_upgraded(S):
with open('anagram/words.txt') as f:
dictionary = [s.strip().lower() for s in f.readlines()]
S_count = collections.Counter(S.lower())
anagram_list = []
for word in dictionary:
word_count = collections.Counter(word)
if all(word_c... | yomek33/google_step2023 | week1/anagram1.py | anagram1.py | py | 702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 11,
"usage_type": "call"
}
] |
6901561187 | from classes.baseworker import BaseWorker
from classes.FlickrAPI import flickr_get
import discord
help_message = """
```
Sigma Flickr Images v1.0.0
commands:
!fse [キーワード] ([画像枚数]) キーワードで検索した画像を表示します。
```
"""
class Worker(BaseWorker):
async def join(self, message: discord.Message):
# ここにかく
await ... | sizumita/Sigma | apps/flickr/worker.py | worker.py | py | 1,664 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "classes.baseworker.BaseWorker",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "discord.Message",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "discord.Message",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name"... |
38977559586 | import environ
from django.shortcuts import render
from rest_framework.decorators import api_view
from rest_framework.response import Response
from .models import FoodOrder
from . import Checksum
env = environ.Env()
environ.Env.read_env()
@api_view(['POST'])
def start_payment(request):
OrderID = request.data['... | sumit-singh1196/Food-Delivery-App | swiggy-x-backend/Paytm/PaymentViews.py | PaymentViews.py | py | 2,598 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "environ.Env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "environ.Env.read_env",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "environ.Env",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.FoodOrder.obj... |
35548955694 | from io import BytesIO
import zipfile
import tarfile
from urllib.request import urlopen
from collections import namedtuple
import os
tg = os.path.join(os.path.realpath(__file__))
Dataset = namedtuple('Dataset', ['name', 'instances', 'solutions'])
datasets = \
[
Dataset(name="qaplib",
ins... | 8uurg/GeneticPermutationBenchmark | src/problems/QAP/instances/fetch.py | fetch.py | py | 1,311 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
... |
11116167108 | # From https://towardsdatascience.com/logistic-regression-python-7c451928efee, modifications made to learn how it works
from scipy.special import expit
import pandas as pd
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn.datasets import make_classification
... | WheatleyTheCore/Learning-ML | code/LogisticRegression/LogisticRegression.py | LogisticRegression.py | py | 1,104 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.make_classification",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 25,
"usage_type": "call"
},
{
"api_na... |
21036257742 | #!/bin/python3
# ===========================
# Ar-Ray-code 2022
# ===========================
from PySide2.QtWidgets import QApplication, QWidget, QLineEdit, QInputDialog
import sys
import argparse
class QuestionWidget(QWidget):
def __init__(self):
super().__init__()
parser = argparse.ArgumentPar... | Ar-Ray-code/ReadableWidgets | PySide2/pyamlside2/commandline_widgets/question_lineedit.py | question_lineedit.py | py | 1,078 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "PySide2.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QInputDialog",
"line_number": 26,
"usage_type": "call"
},
{
"... |
23281753905 | import sched
from abc import ABC
from program.abstract.algorithm import Algorithm
from program.exec.track.track_only.hog_track import *
schedule = sched.scheduler(time.time, time.sleep)
delayId = ""
class Track(Algorithm, ABC):
def __init__(self):
pass
def execute(task):
return Track.trac... | yejinlei/Dubhe | dubhe_data_process/program/exec/track/track.py | track.py | py | 1,687 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sched.scheduler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "program.abstract.algorithm.Algorithm",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "abc.ABC",
"line_number": 12,
"usage_type": "name"
}
] |
34345280224 | import tweepy #pip install tweepy
import csv
import time
import random
#account's credentials : available on twitter dashboard, when you select the app and go to keys and tokens
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
acc_screen_name = "@GUNdotIO" #the user screen name for... | Bharathi-G98/TwitterBotWithPython | genericGetFollowers.py | genericGetFollowers.py | py | 1,682 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.writer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"li... |
38651808728 | import json
import base64
from io import BytesIO
from typing import Any
from salesforce_functions import Context, InvocationEvent, get_logger
import requests
from PIL import Image
# The type of the data payload sent with the invocation event.
# We're specifying a specific type for improved IDE auto-completion
# and ... | pozil/python-functions | functions/python_watermark/main.py | main.py | py | 3,261 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "salesforce_functions.get_logger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "salesforce_functions.InvocationEvent",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "salesforce_functions.Context",
"line_number": 19,
"usage_type": "nam... |
74708311401 | from sklearn.neural_network import MLPRegressor
from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error
import numpy as np
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import mlflow
mlflow.sklearn.autolog()
mlflow.set_experiment("mlpRegressor sklearn FINAL")... | Chilibonitsu/ML-mlflow-AND-OR-XOR-plus-Sine-Wave-prediction | timeSeries mlflow Final/mlpRegressor.py | mlpRegressor.py | py | 2,142 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mlflow.sklearn.autolog",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mlflow.sklearn",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mlflow.set_experiment",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mlflow.... |
39727243831 | #1) Reverse the string using for loop by using the slicing options
# (i.e. [start: stop: stepsize]. Here is the example using while loop.
str1 = "Vimala's laptop"
print(str1[0:len(str1)])
print(str1[::-1]) ##Reverse string
#2) rstrip(), lstrip() and strip() used to remove the spaces on left, right and both
# side... | Vimala390/Vimala_py | sam_strings_exerc.py | sam_strings_exerc.py | py | 1,602 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "re.compile",
... |
11120707924 | import xlrd
class ZEDatas():
'''
Gestionnaire des données issues des packs B1 et B2 pour les zones d'emploi
'''
def __init__(self):
'''
Constructeur
zones -- dictionnaire
clef : code de la zone d'emploi
valeur : ZEData de la zone d'em... | otelo-besoinlogement/otelo | outil/initialisation/charger_data.py | charger_data.py | py | 8,057 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 129,
"usage_type": "call"
}
] |
12271715711 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import re
import matplotlib.pyplot as plt
import numpy as np
def read_paragraph_file(filename):
paragraphs = []
with open(filename, "r") as filepointer:
for line in filepointer.readlines():
if line.strip()=="": continue # ignore ... | gentyp/TAL | pre_process_correction.py | pre_process_correction.py | py | 7,737 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.sub",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 66,
"usage_type"... |
45280660058 | import torch
from torch import nn
class LabelSmoothingLoss_aftersoftmax(nn.Module):
def __init__(self, classes, smoothing=0.0, dim=-1, ignore_index=1):
super(LabelSmoothingLoss_aftersoftmax, self).__init__()
self.confidence = 1.0 - smoothing
self.smoothing = smoothing
self.cls = cl... | sigirace/elmo_clone | paper/04_transformer/source/model/labelsmoothing.py | labelsmoothing.py | py | 953 | python | en | code | null | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.zeros_like",
"lin... |
6950279875 | import os
import numpy as np
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
import pandas as pd
import speechbrain as sb
from hyperpyyaml import load_hyperpyyaml
import sys
import pdb
if __name__ == "__main__":
# Load hyperparameters file with command-line overrides
hparams_file, r... | zhepeiw/clap_curation | retrieve_from_emb_thresh.py | retrieve_from_emb_thresh.py | py | 1,697 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "speechbrain.parse_arguments",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "hyperpyyaml.load_hyperpyyaml",
"line_number": 17,
"usage_type": "call"
},
{
"api_name":... |
73689482599 | import dash
from dash import dcc
from dash import html,Input, Output
import dash_bootstrap_components as dbc
from ..app import app
from .sidebar_function_tab1 import TAB1_DROPDOWN,time_scale,date_picker_tab1,tab1_selector
from data.data import temperature_df_full
from .style import title_style,description_style,sub_tit... | DishaDH123/Home-Energy-Dashboard | src/components/sidebar1.py | sidebar1.py | py | 1,611 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dash_bootstrap_components.Row",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "style.title_style",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dash_bootstrap_components.Row",
"line_number": 12,
"usage_type": "call"
},
{
"api... |
9912935582 | """Examples of computing Jacobian bounds.
We show examples of:
- Computing Jacobian bounds
- Computing Linf local Lipschitz constants
- Computing JVP bounds
"""
import numpy as np
import torch
import torch.nn as nn
from auto_LiRPA import BoundedModule, BoundedTensor
from auto_LiRPA.perturbations import PerturbationLp... | Verified-Intelligence/auto_LiRPA | examples/vision/jacobian_new.py | jacobian_new.py | py | 5,407 | python | en | code | 235 | github-code | 18 | [
{
"api_name": "torch.nn.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "auto_LiRPA.utils.Flatten",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn.Linear... |
37494156467 | '''Project Part 2:
Import time and theta values from datafile.txt.
Perform a 2-dimensional maximum likelihood fit to determine the
best fit values of the parameters (F, tau1, tau2) and their errors.
Find errors by varying one parameter whilst keeping all others fixed.
Present the results in a table.
'''
import math a... | bonniemcc/NumRep | project2.py | project2.py | py | 2,562 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.cos",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 23,
... |
15158970893 | #coding utf-8
import serial
import subprocess
import time
def main():
ser = serial.Serial('COM3',9600,timeout=1)
###################################
cmd1 = "C:\\00_okamoto\\uwsc523\\uwsc.exe C:\\00_okamoto\\uwsc523\\3DPrint\\00_AutoMake.UWS"
dist1min=1
dist1max= 5
dist1wait=10
dist1chk=... | coolbiz/Distance_Sensor | led.py | led.py | py | 1,908 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "serial.Serial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_n... |
24133615108 | import datetime
class sasFile:
def readCurrentTask(self):
try:
file = open('currentTask.txt','r')
currentTask = file.read(1)
file.close()
except Exception as e:
self.updateCurrentTask('1')
self.updateExceptionMessage("sasFile{readCurrentTa... | rizban114406/Attendance_Without_Display_Keypad | Python Scripts/sasFile.py | sasFile.py | py | 6,644 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 53,
"usage_type": "attribute"
}
] |
38389826864 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QMainWindow, QPushButton, QLineEdit
from PyQt5 import QtWidgets
import numpy as np
class MainWindow(QMainWindow):
def __init__(self, parent=None): #Конструктор класса
super().__init__()
self.setMinimumSize(300, 300) # Устанавливаем размеры... | INePro/pythonProject8 | main.py | main.py | py | 4,321 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "Py... |
71032748521 | global pg_user
pg_user = os.getenv('DSTAT_PG_USER') or os.getenv('USER')
global pg_pwd
pg_pwd = os.getenv('DSTAT_PG_PWD')
global pg_host
pg_host = os.getenv('DSTAT_PG_HOST')
global pg_port
pg_port = os.getenv('DSTAT_PG_PORT')
class dstat_plugin(dstat):
"""
Plugin for PostgreSQL connections.
"""
de... | zte-db/dool | plugins/dool_postgresql_backup.py | dool_postgresql_backup.py | py | 1,631 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "psycopg2.connect",
"line_number": 41,
"usage_type": "call"
}
] |
23519528379 | # -*-coding:utf-8 -*-
# !/usr/bin/env python3
import sys
import time
import requests
import config
sys.path.append("../")
from logs import logs
class Conduit:
def __init__(self, api_token=config.PHA_CONFIG["BOT_API_TOKEN"], pha_url=config.PHA_CONFIG["PHA_URL"]):
self.api_token = api_token
self.pha_... | PengboBai/script | build_before/conduit.py | conduit.py | py | 2,813 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.PHA_CONFIG",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logs.logs.error",
... |
73811677160 | import collections
import copy
import importlib
import inspect
import itertools
import logging
import math
import os
import pickle
import sys
import time
import types
import uuid
from abc import ABCMeta, abstractmethod
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, Namespace
from contextlib import ... | DataBiosphere/toil | src/toil/job.py | job.py | py | 147,606 | python | en | code | 856 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sys.version_info",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "logg... |
8230055270 | from django.shortcuts import render,redirect #Importa as funções render,redirect que são utilizadas para renderizar templates HTML e redirecionar o usuário para outras páginas.
from .models import Trofeus,Jogadores #Importar os modelos necessários
def home(request): #Função que apresenta a página principal so site p... | RafaelCastro1000/ATIVIDADE-6-ENG-4021 | appRafael/views.py | views.py | py | 6,254 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "models.Trofeus.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Trofeus.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Trofeus",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "mo... |
4028256612 | from datetime import datetime, date
users = [
{
'name' : 'Bill',
'birthday': '1983-6-1' #2022-05-17
},
{
'name' : 'Kim',
'birthday': '1980-5-25', #2022-05-17
},
{
'name' : 'Jan',
'birthday': '1997-5-18', #2022-05-17
},
{
'... | AndrewAndrunin/goit_python-HW8 | next_week_birthdayHW8_v1.py | next_week_birthdayHW8_v1.py | py | 2,916 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
4819030362 | """
31. Next Permutation
Implement next permutation, which rearranges numbers into the lexicographically next greater permutation of numbers.
If such an arrangement is not possible, it must rearrange it as the loweest possible order (i.e., sorted in ascending order).
The replacement must be in place and use only cons... | tkwang0530/LeetCode | 0031.py | 0031.py | py | 2,867 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 83,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"l... |
5396958203 | # coding: utf-8
"""
WEX REST APIs
Authentication methods - Basic Auth - JSON Web Token - [POST /api/v1/usermgmt/login](#!/User/signinUser) - [POST /api/v1/usermgmt/logout](#!/User/doLogout) - Python client sample [Download](/docs/wex-python-api.zip)
OpenAPI spec version: 12.0.2.417
Generate... | adam725417/Walsin | wex-python-api/ibmwex/models/group_pattern.py | group_pattern.py | py | 5,082 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "six.iteritems",
"line_number": 143,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 167,
"usage_type": "call"
}
] |
18936489379 | # VIDUR SUBAIAH, CONCEPTS OF PROGRAMMING, AUTUMN 2021
from task import Task
from tasks import Tasks
import argparse
import global_variables
task_list = Tasks() # initialize the Tasks object
parser = argparse.ArgumentParser() # set up the parser
# setting up the terms that the parser can recognize, the type of input... | vidur-subaiah/Command-Line-Task-Manager | todo.py | todo.py | py | 2,351 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tasks.Tasks",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "task.Task",
"line_number": 27,
"usage_type": "call"
}
] |
17511230459 | import itertools
import random
import operator
import copy
import math
ids = ["316217835", "206824690"]
class DroneAgent:
def __init__(self, initial):
self.map= initial['map']
self.drones= initial['drones']
self.dronesName= set(self.drones.keys())
self.packages= initial['packages']... | Lishay2/AI_HW2 | ex2.py | ex2.py | py | 16,794 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "copy.deepcopy",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": ... |
73894552360 | import logging
import pathlib
import yaml
import asyncio
from aiopg.sa import create_engine
BASE_DIR = pathlib.Path(__file__).parent.parent
STATIC_DIR = pathlib.Path(__file__).parent / 'static'
config_path = BASE_DIR / 'config' / 'app.yaml'
# logging.basicConfig(filename=BASE_DIR/"log/base.log", level=logging.INFO)... | Hilinetria/Test | base/app/settings.py | settings.py | py | 2,350 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"li... |
22506124855 | import os
import argparse
import tensorflow as tf
from dataset import Dataset
from hp import set_dataset
import hp
class ProgramArguments(argparse.ArgumentParser):
def __init__(self, rank: int):
super().__init__(description='Cnns through asynchronoUs Training and Evolution (cute) for TensorFlow', add_h... | jkarns275/cute | src/program_arguments.py | program_arguments.py | py | 3,875 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "hp.set_weight_initialization",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "hp.set_number_epochs",
"line_number": 60,
"usage_type": "call"
},
{
"ap... |
37837177195 | import unittest
import sys
from PySide2.QtWidgets import QApplication
import matplotlib.pyplot as plt
from pytestqt import qtbot
from Master_GUI_App import MainWindow
class Test_test_1(unittest.TestCase):
def test_input_validation(self):
app = QApplication(sys.argv)
window = Main... | Abdallah-Ashraf202/Function_Plotter | Master_Micro_Function_Plotter/Master_GUI_App/Master_GUI_App/test_1.py | test_1.py | py | 1,799 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "Ma... |
165830869 | import os
import imageio
images = []
path = './GS_Result'
filenames = os.listdir(path)
filenames.sort()
print(filenames)
for filename in filenames:
if filename.endswith('.png'):
images.append(imageio.imread(path+'/'+filename))
print(filename)
imageio.mimsave('./result_MSE.gif', images) | hello5949/PhoneLock | GIF_maker.py | GIF_maker.py | py | 307 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "imageio.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "imageio.mimsave",
"line_number": 13,
"usage_type": "call"
}
] |
45280617018 | import time
import os
import os.path as osp
import re
import pickle
import argparse
import random
from tqdm import tqdm
import numpy as np
import functools
import logging
import torch
import torch.nn as nn
import torch.optim as optim
from .model import *
from .dataloader import *
from .utils import *
# writer = Summa... | sigirace/elmo_clone | paper/03_attention/source/trainer.py | trainer.py | py | 7,472 | python | en | code | null | github-code | 18 | [
{
"api_name": "random.seed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.manual_seed",
... |
14382160594 | import logging
from pages.elements.alerts import AlertsMessages
from pages.main_page import MainPage
from pages.wish_list_page import WishListPage
logger = logging.getLogger("test")
class TestWishListPage:
def test_add_goods_wish_list_not_register(self, browser):
main_page = MainPage(browser)
a... | Nyusha52/opencart_tests | tests/test_wish_list.py | test_wish_list.py | py | 990 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pages.main_page.MainPage",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pages.elements.alerts.AlertsMessages",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
70222130920 | import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread('/others/opencv.png',0)
f = np.fft.fft2(img)
fshift = np.fft.fftshift(f)
magnitude_spectrum = 20*np.log(np.abs(fshift))
plt.subplot(121),plt.imshow(img, cmap = 'gray')
plt.title('Input Image'), plt.xticks([]), plt.yticks([])
plt.su... | CSsaan/Deep-learning-of-machine-vision | ch2.图像预处理/fft.py | fft.py | py | 451 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fft2",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.fft.fftshift",
"line_... |
32358010351 | from uuid import UUID
from django.http import Http404
from django.shortcuts import render
from django.views import View
from apps.core.models import Task, TaskRecord
class TaskDetailDiff(View):
def get(self, request, task_record_id: UUID):
try:
task_record = TaskRecord.objects.get(pk=task_re... | FIIT-Databases/tester | apps/web/views/task_records.py | task_records.py | py | 564 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "uuid.UUID",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "apps.core.models.TaskRecord.objects.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "a... |
44564533734 | import deepspeech
import wave
import numpy as np
from pydub import AudioSegment as am
import time
def predicts_audio(audio):
w = wave.open(audio, 'r')
sound = am.from_file(audio, format='wav', frame_rate=w.getframerate())
sound = sound.set_frame_rate(16000)
sound.export('1', format='wav')
w = wave.open('1', 'r')
... | Akash2021/Vai | SpeechToText/predict.py | predict.py | py | 723 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "wave.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment.from_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wave.open",
... |
36520570143 | import abc
import logging
import sqlite3
import sys
from datetime import datetime, timedelta
import pandas as pd
from cryptofetcher import CryptoFetcher, CLOSE_COLUMN_NAME_CLEAN
class CryptoCalculator(object, metaclass=abc.ABCMeta):
def __init__(self, df):
""" Queries the AV API for data which is s... | jaivalis/AlphaVantageCalculator | cryptocalculator.py | cryptocalculator.py | py | 5,693 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "abc.ABCMeta",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sqli... |
13064039076 | """Add transaction_id to quark_mac_addresses
Revision ID: 356d6c0623c8
Revises: 5632aa202d89
Create Date: 2015-04-14 01:53:48.233241
"""
# revision identifiers, used by Alembic.
revision = '356d6c0623c8'
down_revision = '5632aa202d89'
from alembic import op
import sqlalchemy as sa
def upgrade():
op.add_column... | MichaelPorras/quark | quark/db/migration/alembic/versions/356d6c0623c8_add_transaction_id_to_quark_mac_.py | 356d6c0623c8_add_transaction_id_to_quark_mac_.py | py | 770 | python | en | code | null | github-code | 18 | [
{
"api_name": "alembic.op.add_column",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
10213591328 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 10 09:11:39 2023
@author: Thomas Sartre et François Patinec-Haxel
"""
#importation de PIL pour la lecture des images
from PIL import Image
import numpy as np
#récupération des deux textures sous forme d'arrays de couelurs
perlinTex = list(Image.open("./Assets/precomputed... | Mortimer-Kerman/SpaceFactory | sources/NoiseTools.py | NoiseTools.py | py | 2,549 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number"... |
2980558007 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse
from django.views import View # for using Class based views
from .forms import SuggessionForm
from .models import SiteContent
import smtplib
from email.message import EmailMessage
import imghdr
from validate_email import validat... | nishikaverma/site-unravels | Website_UNRAVEL/homepage/views.py | views.py | py | 3,199 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 24,
"usage_type": "call"
},
{
"api_name"... |
39289271400 | #codding=utf-8
import pandas as pd
from matplotlib import pyplot as plt
sourcefile = u"C:/Users/Administrator/Desktop/CZURScanner文档/CZCVTestData/data.xlsx"
data = pd.read_excel(sourcefile)
plt.figure(figsize=(10,5))
plt.rcParams['font.sans-serif']=['SimHei']
plt.rcParams['axes.unicode_minus']=False
plt.title('迭代版本... | oubingkun/hotch-potch | matplotlib/chart-line.py | chart-line.py | py | 675 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_excel",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotli... |
28338292335 | from collections import deque
def bfs(graph, start, end):
visited = set()
queue = deque([(start, [start])])
visited.add(start)
while queue:
(vertex, path) = queue.popleft()
if vertex == end:
return path
for neighbor in graph[vertex]:
if neighbor not i... | RoberthCCh/IA-busqueda | bfs.py | bfs.py | py | 1,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
32251846806 | """Main Script for m4b-util."""
import argparse
import sys
from rich import print
from .__version__ import version
from .subcommands import bind, cover, labels, slide, split
def _print_version():
"""Print the current version, then exit."""
print(f"[green]m4b-util[/], Version '{version}'")
return 0
# S... | Tsubashi/m4b-util | src/m4b_util/__main__.py | __main__.py | py | 2,216 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "rich.print",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "__version__.version",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "subcommands.cover.run",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "subcommands... |
19714865086 | import simulation.simulation as simul
import simulation.components as cmp
import xmldiff.main
import xmldiff.formatting
import pickle
import utils.general
def base_test():
sim = simul.Simulation('D:/dartpy/config_templates/base575.toml',
no_gen='not_implemented',
... | ARRRRGH/dartpy | test/base_test.py | base_test.py | py | 2,574 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "simulation.simulation.Simulation",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "simulation.simulation",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "simulation.simulation.Simulation.from_simulation",
"line_number": 19,
"usage_type"... |
15031451352 | from interactions import *
from Utilities.fancysend import fancy_message
import database as db
import Utilities.badge_manager as badge_manager
import Utilities.bot_icons as icons
from datetime import datetime, timedelta
import random
class Command(Extension):
current_limit = 0
wool_finds = [
'You... | Axiinyaa/The-World-Machine | Commands/wool.py | wool.py | py | 4,378 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "database.fetch",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "Utilities.fancysend.fancy_message",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "Utilities.fancysend.fancy_message",
"line_number": 50,
"usage_type": "call"
},
{
... |
18306927161 | from django.db import models
# Create your models here.
class Piece(models.Model):
PAINTING = 'PA'
ABSTRACT = 'AB'
DRAWINGS = 'DR'
INSTALLATIONS = 'IN'
SCULPTURES = 'SC'
PHOTOGRAPHY = 'PH'
KIND = [
(PAINTING, 'Painting'),
(SCULPTURES, 'Sculptures'),
(DRAWINGS, 'Drawi... | LwangaConrad/galari | core/models.py | models.py | py | 760 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.ImageField",
"line_number": 19,
"usage_type": "call"
},
{
"api_name":... |
43325552010 | import asyncio
from bs4 import BeautifulSoup
import aiohttp
import csv
url = 'https://climatescape.org/organizations'
headers = {
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36'
}
data_list = []
async def get_page_data(session, link):
asyn... | Dim80188/fl_climat | climat_as.py | climat_as.py | py | 4,139 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "asyncio.cre... |
41328603513 | from Code.Customers import *
import pickle
import matplotlib.pyplot as plt
import os
## *********************************************************************************************************************
## Part I: Define Inputs ****************************************************************************************... | ludepo/TSE-Python-Project | Code/Simulation.py | Simulation.py | py | 9,278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
29072597606 | # BOJ No.1302
# 베스트셀러
from collections import Counter
n=int(input())
lst=[]
for i in range(n):
lst.append(input())
cnt=Counter(lst)
result=cnt.most_common()
result.sort(key=lambda x : (-x[1],x[0]))
print(result[0][0])
| Segye-kr/DataStructure-and-Algorithm | String/BOJ_1302.py | BOJ_1302.py | py | 234 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 10,
"usage_type": "call"
}
] |
29981379203 | import argparse
import logging
import json
import sys
import requests
import uuid
import time
import boto3
import botocore
from utils.config_loader import Config
from pprint import pprint as pretty
import json
import random
from datetime import datetime
from payloadHandler import payloadHandler
from cmsHandler imp... | givenand/aws-cms-telemetry-demo | generateTelemetry.py | generateTelemetry.py | py | 5,049 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "awscrt.mqtt.ConnectReturnCode",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "awscrt.mqtt",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "payl... |
27930154675 | import collections
def solution(orders, course):
answer = []
cnt = collections.defaultdict(int)
def DFS(s, c, x):
if len(c) in course:
cnt[''.join(c)] += 1
if x >= len(s):
return
for i in range(x, len(s)):
c.append(s[... | Yuha0123/Algorithm | Programmers/메뉴 리뉴얼.py | 메뉴 리뉴얼.py | py | 967 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
}
] |
21180113466 | import tensorflow as tf
import numpy as np
from datetime import datetime
class DQN:
def __init__(self, game, name='DQN'):
self.state_size = game.state_size
self.action_size = game.action_size
self.possible_actions = game.possible_actions
self.gamma = 0.95
self.dir_saved_checkpoints = "/Users/Vincent/Pychar... | vincent-cr/DINO_CHROME | dqn.py | dqn.py | py | 5,665 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ten... |
14607781650 | #!/usr/bin/python
import argparse
from getpass import getpass
import os
import time
import shutil
import sys
from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
parser = argparse.ArgumentParse... | nepcore/PufferScreens | screens.py | screens.py | py | 6,468 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "getpass.getpass",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
43690902430 | import concurrent.futures
from typing import List
from wordy.utils import ALL_POSSIBLE_CASES
import wordy.match_cases as mc
def __update_words_prob(words_prob: dict, case: List[str], hash_case: str,
able_to_play_word: str, possible_words_answer: List[str]):
'''
Update words_prob(dict)... | jamemamjame/wordy | wordy/words_probs_calculator.py | words_probs_calculator.py | py | 1,690 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wordy.match_cases.is_match_case",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wordy.match_cas... |
18648672920 | from http import client
from flask import Flask, render_template, request
from manter.entities import Cliente
from . import app
@app.route("/index")
def home():
return render_template("index.html")
@app.route("/new")
def new():
# recebe os campos do formulario
# cria o objeto cliente
# chamar a cla... | romildodcm/dev-web-2 | 20220215-crud-cliente/webapp/routes.py | routes.py | py | 1,246 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "... |
21177975008 | import argparse
from PIL import Image
def convert(filepath, combine_8):
"""
Converts greyscale image pixels to binary numbers and saves the result to a text file.
:param filepath: The path to the image file.
:param combine_8: Combine every 8 bits into a single number from range 0-255.
"""
# Op... | PWrWhiteHats/BtS-2023-Writeups | misc/Nebula/solution/picture-script.py | picture-script.py | py | 4,566 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number":... |
12293198052 | import typing as t
from pygls.features import (COMPLETION, TEXT_DOCUMENT_DID_CHANGE,
TEXT_DOCUMENT_DID_CLOSE, TEXT_DOCUMENT_DID_OPEN)
from pygls.server import LanguageServer
from pygls.types import (CompletionItem, CompletionList, CompletionParams,
DidChangeTextDocum... | lark-parser/lark-language-server | lark_language_server/server.py | server.py | py | 1,929 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "pygls.server.LanguageServer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pygls.types.DidChangeTextDocumentParams",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "error_reporting.get_diagnostics",
"line_number": 25,
"usage_type": "c... |
19347709682 | from selenium import webdriver
from selenium.webdriver.chrome.service import Service
chrome_driver_path = Service("/snap/bin/chromium.chromedriver")
driver = webdriver.Chrome(service=chrome_driver_path)
# driver = webdriver.Firefox()
driver.get(url="https://www.amazon.in/Intel-Performance-NUC11PAHI5-Thunderbolt-Pre-I... | anbuchelva/learn-python | 075-selenium-web-driver/amazon-price.py | amazon-price.py | py | 578 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.service.Service",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 5,
"usage_type": "name"
}
] |
36656237533 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="tinycircuits-sx1505",
version="0.0.1",
author="TinyCircuits",
author_email="info@tinycircuits.com",
description="SX1505 Joystick & Rotary Python library",
long_description=long_descri... | TinyCircuits/TinyCircuits-SX1505-Python | setup.py | setup.py | py | 726 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 15,
"usage_type": "call"
}
] |
40640921078 | from flask import Flask, url_for, redirect, render_template
import random
from db_scripts import get_question
n_quiz = 0
n_quest = 0
def index():
global n_quiz, n_quest
n_quest = 0
n_quiz = 0
return render_template('start.html')
def test():
global n_quiz, n_quest
result = get_question(n_qui... | Comandorr/test_site | quiz.py | quiz.py | py | 1,074 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "db_scripts.get_question",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.ur... |
5679211738 | import os
import sys
import pygame
import random
pygame.init()
pygame.mixer.init()
executing_wd = os.path.dirname(os.path.realpath(sys.argv[0]))
current_wd = os.path.join(executing_wd, "assets")
music_wd = os.path.join(current_wd, "music")
sounds = []
ALL_SOUNDS = []
# music_wd = variables.music_wd
list(map(lambda ... | a-abir/Retrove | music.py | music.py | py | 1,768 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
3273407641 | import torch
from bench.core.executer import Executer
def yolo_encode(bboxes, gt_bboxes, stride, eps):
"""Get box regression transformation deltas that can be used to
transform the ``bboxes`` into the ``gt_bboxes``.
Args:
bboxes (torch.Tensor): Source boxes, e.g., anchors.
gt_bboxes (torc... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/yolo_encode/torch_impl.py | torch_impl.py | py | 1,776 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "torch.log",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.log",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.stack",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number":... |
26860282495 | from flask_cors import CORS
from flask import Flask, jsonify, request
from flask_restful import Api
from modelos import db, UsuarioSchema, Usuario
usuario_schema = UsuarioSchema()
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///micro-usuario.db.sqlite'
app.config['SQLALCHEMY_TRACK_MODIFICATI... | duvanjamidvc/seguridad-exp | usuario/app.py | app.py | py | 1,093 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "modelos.UsuarioSchema",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "modelos.db.init_app",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "modelos.db",
... |
71427350440 | import re
import gc
import os
import cv2
import glob
import keras
import shutil
import pathlib
import PIL
import numpy as np
import pandas as pd
import seaborn as sb
import networkx as nx
import tensorflow as tf
import matplotlib.pyplot as plt
from shutil import copyfile
import tensorboard
from datetim... | aorursy/new-nb-3 | immune_beginner-plant-pathology-eda-w-mplot3d.py | immune_beginner-plant-pathology-eda-w-mplot3d.py | py | 9,682 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.__version__",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.executing_eagerly",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "cv2.__version__",
"line_number": 74,
"usage_type": "attribute"
},
{
"api... |
28059282668 | '''Spectroscopic source object'''
import sys
import numpy as np
from astropy.io import fits
from astropy.wcs import WCS
from astropy import units as u
from scipy.interpolate import interp1d
class SpectralSource():
'''Source object for the spectroscopy mode
Create a source object consisting of a number of po... | oczoske/SpecCADO | speccado/source.py | source.py | py | 4,771 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.min",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "astropy.units.m",
"line_number"... |
70230944362 | import numpy as np
import bsopt
import workdays
import datetime
import misc
def delta_to_logratio(delta, vol, time2mat):
return vol * (0.5 * vol - np.sqrt(time2mat) * bsopt.cnorminv(delta))
def ExpIntegral(b, tau):
if (b == 0) or (tau ==0):
return 1.0
else:
return (1 - np.exp(-b*tau))/(b*... | harvey1673/pyktrader2 | cmq_volgrid.py | cmq_volgrid.py | py | 6,064 | python | en | code | 36 | github-code | 18 | [
{
"api_name": "numpy.sqrt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bsopt.cnorminv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 18,... |
74568360681 | from django.db import models
from django.utils.translation import ugettext_lazy as _
# Create your models here.
class Employer(models.Model):
name = models.CharField(_("Employer Name"), max_length=250)
# ein = models.CharField(_("EIN"), max_length=150, blank=True, null=True)
street = models.CharField(_("St... | anandharshini/cms-benefits | employer/models.py | models.py | py | 829 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
44481296968 | from django import forms
from api.models import Match, Object, Action
class MatchForm(forms.ModelForm):
class Meta:
model = Match
fields = ('matchid', 'player', 'status', 'played_as', 'score', 'playtime', 'turn_count',
'spawned', 'killed', 'damage', 'heal', 'created_at', 'termin... | startergate/Basterds-Stat-Server | api/forms.py | forms.py | py | 774 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "api.models.Match",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.M... |
18618353934 | import tkinter as tk
from tkinter import filedialog
from moviepy.editor import VideoFileClip
class VideoPlayerApp:
def __init__(self, master):
self.master = master
self.master.title("Video Player")
self.master.geometry("400x200")
self.label = tk.Label(self.master, text="S... | RayVinc/ExtractLastFrameMP4 | mp4runtime.py | mp4runtime.py | py | 2,000 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Label",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.StringVar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tkinter.Entry",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"l... |
4447156767 | # coding=utf-8
import datetime
from urlparse import urlparse
from google.appengine.ext import ndb
__author__ = 'Jan Skalicky <hskalicky@gmail.com>'
class WebScreenShot(ndb.Model):
site_uri = ndb.StringProperty()
site_host_uri = ndb.StringProperty()
created = ndb.DateTimeProperty(auto_now_add=True)
im... | vexis211/WebScreenShotter | webscreenshots.py | webscreenshots.py | py | 1,517 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "google.appengine.ext.ndb.Model",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.ndb",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.ndb.StringProperty",
"line_number": 10,
"usage_type": "ca... |
10606683801 | #!/usr/bin/env python3
import os
import re
import sys
import csv
import gzip
import lzma
import glob
import logging
import datetime
import argparse
import collections
from datetime import datetime
from os import path
sys.path.insert(0, "../btccrawlgo-processing")
from processing.dataset import Dataset
import util
... | ralphholz/bc-comparisons | load_scan.py | load_scan.py | py | 13,009 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.warning",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.info",
"lin... |
38540135993 | import numpy as np
import torch as T
import torch.nn as nn
import torch.nn.functional as F
from utils import build_base_model
from torch.distributions.categorical import Categorical
class Actor(nn.Module):
def __init__(
self, state_dim: int, action_dim: int, hidden_layers: tuple[int]
) -> None:
... | mhyrzt/Simple-MADRL-Chess | learnings/ppo/actor.py | actor.py | py | 845 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils.build_base_model",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn.Softmax... |
28060931639 | ## referenced Harvard CS205 Course Material Lecture C3
## https://harvard-iacs.github.io/2021-CS205/lectures/C3/
import sys, os, requests, time, math, time
import datetime as dt
import yfinance as yf
import numpy as np
import pandas as pd
import socket
import sys
import requests
import json
# this method sends t... | vrsivananda/CS205_FinalProject | stock_predict/predict/stock_client.py | stock_client.py | py | 2,992 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.exc_info",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "yfinance.download",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_nu... |
30861757120 | import os
import time
from collections import OrderedDict
from flask import Flask
from pyairtable import Table
app = Flask(__name__)
env_config = os.getenv("PROD_APP_SETTINGS")
app.config.from_object(env_config)
AIRTABLE_SECRET_TOKEN = os.getenv("AIRTABLE_SECRET_TOKEN")
AIRTABLE_BASE_ID = os.getenv("AIRTABLE_BASE_ID"... | alexanderbcook/guidebook | utilities.py | utilities.py | py | 2,475 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 12,
... |
36646438032 | import pygame, sys, time
from snake import Snake
from score import Score
from food import Food
pygame.mixer.pre_init(44100, -16, 2, 512)
pygame.init()
clock = pygame.time.Clock()
# Screen parameters
width = 400
height = 400
screen = pygame.display.set_mode((width, height))
pygame.display.set_caption("Snake")
# Play... | uglkjgj/snake-game | game.py | game.py | py | 3,640 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.mixer.pre_init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
... |
13256304300 | from __future__ import annotations
from dataclasses import dataclass, field, replace
from multiprocessing import Queue
from coin.multiprocessing import mp_ctx
from coin.process import Process, send_queue_message
from coin.node_context import NodeContext
from coin.block import OpenBlock, SealedBlockHeader
from coin.find... | wgoldie/coin | coin/mining.py | mining.py | py | 1,768 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "coin.node_context.NodeContext",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "coin.block.OpenBlock",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 11,
"usage_type": "call"
},
{
"api_name... |
31052973081 | import os
import time
from celery import Celery
from .api_routers.routers_config import connecting_to_db
from backend.parser_app.parser import (get_product_html,
find_name,
get_price,
check_availability,... | theorgfortwoofus/sephora-parser | backend/parser_app/celery_tasks.py | celery_tasks.py | py | 2,219 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "celery.Celery",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"li... |
7430372150 | from scipy.sparse import issparse
import numpy as np
import pandas as pd
def gower_matrix(data_x, data_y=None, weight=None, cat_features=None):
# function checks
X = data_x
if data_y is None: Y = data_x
else: Y = data_y
if not isinstance(X, np.ndarray):
if not np.array_equal(X.col... | w4k2/problexity | problexity/classification/gower.py | gower.py | py | 4,399 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "numpy.ndarray",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.array_equal",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.sparse.issparse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.Dat... |
2611662165 | import os, time, pickle, gzip
import pandas as pd
import numpy as np
import multiprocessing as mp
pool_size = mp.cpu_count()
import pickle
from datetime import datetime
from collections import OrderedDict, defaultdict
from lib import conventions as conv
from lib import submiter
# global variable for multi-thread
glob... | Marsan-Ma-zz/checkins | lib/merge_cv.py | merge_cv.py | py | 5,563 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "multiprocessing.cpu_count",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDi... |
40587024409 | import pymysql
import random
import math
def gen_Secure_Random(min, max):
systemRandom = random.SystemRandom()
return systemRandom.randint(min, max)
def compute_Identification_Verification(alpha, response, public_Key, challenge, p):
return pow(alpha, response, p) * pow(public_Key, challenge, p) % p
#
#
#... | D3vRandom/Zero-Knowledge-Proof-Identity-Verification | Lambda/BankPaymentProcessor.py | BankPaymentProcessor.py | py | 5,596 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "random.SystemRandom",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
... |
4820316182 | """
1382. Balance a Binary Search Tree
Given a binary search tree, return a balanced binary search tree with the same node values.
A binary search tree is balanced if and only if the depth of the two subtrees of every node never differ by more than 1.
If there is more than one answer, return any of them.
Example1:
1... | tkwang0530/LeetCode | 1382.py | 1382.py | py | 3,735 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"l... |
71180680041 | import torch
import torch.nn as nn
import torchvision
import torchvision.transforms as transforms
from torchvision import datasets, transforms
import torch.optim as optim
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
class img2num(nn.Module):
def __init__(self):
su... | exponentialbit1024/PurdueCS | BME495/hw5/img2num.py | img2num.py | py | 3,006 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
73920250919 | from host import FileNode
from host.models.Cloud import Cloud
from common.BaseCommand import BaseCommand
from common_util import ResultAndData, Error, Success
from argparse import Namespace
__author__ = 'zadjii'
class DebugMirrorsCommand(BaseCommand):
def add_parser(self, subparsers):
dbg_mirrors = subpar... | zadjii/nebula | host/function/dbg_mirrors.py | dbg_mirrors.py | py | 1,109 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "common.BaseCommand.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "host.models.Cloud.Cloud",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "common_util.Success",
"line_number": 31,
"usage_type": "call"
}
] |
33994961518 | """Yet To Do
-Need to worry about the inside like how the token behaves somewhere it is incrementing
-Tabel->Almost done need to update the table with some function and it is printing many time
You know there are some edge cases like the whne the token is inside the strip. Need to itroduce new bool for inside st... | 174414-Rodda/Ludo | Ludo.py | Ludo.py | py | 33,727 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pygame.draw.circle",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.circle",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
... |
30806418348 | import tkinter as tk
import PIL
import torch
import urllib.request
import json
from tkinter import filedialog
from PIL import Image, ImageTk
from torchvision import models, transforms
from torchvision.models.resnet import ResNet50_Weights
model = models.resnet50(weights=ResNet50_Weights.IMAGENET1K_V1)
model... | SiymX/ImageRecognizer | ImageRecognizer.py | ImageRecognizer.py | py | 3,641 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torchvision.models.resnet50",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet.ResNet50_Weights.IMAGENET1K_V1",
"line_number": 11,
"usage_type"... |
31960552180 | from typing import List
import collections, math, string
class Solution:
def ladderLength(self, beginWord: str, endWord: str, wordList: List[str]) -> int:
def isAdjacent(word1, word2):
count = 0
for char1, char2 in zip(word1, word2):
if char1 != char2:
... | subhadeepdev/LeetCode | 127. Word Ladder.py | 127. Word Ladder.py | py | 1,452 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 32,
"usage_type": "call"
}
] |
4005410344 | from absl.testing import parameterized
import numpy as np
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.framework import tensor_shape
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.pyt... | tensorflow/tensorflow | tensorflow/python/ops/ragged/ragged_one_hot_op_test.py | ragged_one_hot_op_test.py | py | 7,005 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.framework.test_util.TensorFlowTestCase",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.framework.test_util",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"li... |
40890391759 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import nltk;
# In[2]:
from textblob import TextBlob
import pandas as pd
# In[10]:
df=pd.read_csv('train_file.csv', encoding = "ISO-8859-1")
# In[11]:
train = df
# In[12]:
# Removing punctuations
data=train.iloc[:,1:4]
data.replace("[^a-zA-Z]"," ",regex=T... | Sherlock149/ATOMiser | News Sentiment Prediction/src_code.py | src_code.py | py | 2,025 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "textblob.TextBlob"... |
71335657640 | import nltk
from nltk.tokenize import word_tokenize
stopword = nltk.corpus.stopwords.words(
'english') # All English Stopwords Dont forget to type in terminal python -m nltk.downloader stopwords
PorterStemmer = nltk.PorterStemmer()
WordNetLemmatizer = nltk.WordNetLemmatizer()
import string
import pandas
pandas.... | junyang95/DetectFakeReviews | processingtosql.py | processingtosql.py | py | 26,267 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "nltk.corpus",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "nltk.PorterStemmer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "nltk.Wor... |
72146096360 | import requests, json
import os, sys
# define paths
currentFile = __file__
realPath = os.path.realpath(currentFile)
dirPath = os.path.dirname(realPath)
dirName = os.path.basename(dirPath)
ytdl_path = dirPath + "\yt-dlp.exe"
# define
def load_config():
global ssotoken, uniqueID
with open ("creds.... | astravaganza/JC-dl | main.py | main.py | py | 4,198 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "os.path.realpath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
38234011297 | import time
import busio
import digitalio
import RPi.GPIO as GPIO
import board
from PIL import Image, ImageDraw, ImageFont, ImageChops
from adafruit_rgb_display import st7735
from datetime import datetime
import requests
import json
from SpeechFunctions import record_audio, audio_to_text, text_to_function, translate, s... | sheriff4000/SCARGlass | Screen/Main.py | Main.py | py | 13,845 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"lin... |
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