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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
43721724450 | import os
import numpy as np
import torch
from PIL import Image
from diffusers import ControlNetModel, StableDiffusionControlNetInpaintPipeline, DDIMScheduler
from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_controlnet i... | Zheng-Chong/FashionMatrix | models/vfm.py | vfm.py | py | 5,847 | python | en | code | 89 | github-code | 18 | [
{
"api_name": "diffusers.pipelines.stable_diffusion.StableDiffusionPipelineOutput",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PIL.Image.Image",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "nam... |
17889893693 | """The main app in the backend application"""
from fastapi import FastAPI
from database.db import init_db
from routers.product_review import product_reviews_router
app = FastAPI(
title="Beanie Rules",
description="Some Dummy backend which has beanie as the ODM",
version="0.10"
)
@app.on_event("startup")
... | KennedyMungai/FastAPI_Beanie_Another | app/main.py | main.py | py | 699 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "database.db.init_db",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "routers.product_review.product_reviews_router",
"line_number": 28,
"usage_type": "argument"
}
] |
29317398358 | import numpy as np
import os
from PIL import ImageFont, ImageDraw, Image
from moviepy.audio.io.AudioFileClip import AudioFileClip
from moviepy.video.io.VideoFileClip import VideoFileClip
from moviepy.audio.AudioClip import AudioClip
from moviepy.video.VideoClip import ImageClip
from moviepy.editor import concatenate_vi... | yurangja99/HanjaShortsGenerator | editor/editor.py | editor.py | py | 8,250 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PIL.ImageFont.truetype",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "PIL.ImageFont",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "moviepy.video.VideoClip.ImageClip",
"line_number": 55,
"usage_type": "name"
},
{
"api_name":... |
17457809919 | from django.urls import path, include
from . import views
from django.views.generic import TemplateView, RedirectView
urlpatterns = [
path("", views.login, name="login"),
path("login", RedirectView.as_view(permanent=True, url="/")),
path("register", RedirectView.as_view(permanent=True, url="/")),
# pat... | Kamlesh480/django_dashbaord | support_dashboard/zendesk_ticket_update/urls.py | urls.py | py | 565 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.views.generic.RedirectView.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_name... |
2159206954 | import psutil
import pyttsx3
import warnings
import speech_recognition as sr
import os
import webbrowser
import wikipedia
import random
import subprocess
import string
import time
from sys import platform
import psutil as p
import datetime
from src.va import speak, ask
# engine = pyttsx3.init()
# voic... | CarbonDDR/Grp-28-Intelligent_Systems_of_Voice_Recognition | Project/ISVR/src/hash_201801012.py | hash_201801012.py | py | 2,218 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.platform",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "subprocess.run",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "subprocess.run",
"line_n... |
29059144990 | import os
import uuid
import concurrent
import shutil
import pygit2
import tornado.web
from modules.Base import BaseHandler
from modules.Database import User, Repo
from modules.Config import *
from modules.Git import *
from modules.Lib import safe_markdown, admin
class RepoImportHandler(BaseHandler):
@tornado.web.... | Nossiac/giteasy | modules/Repo.py | Repo.py | py | 12,150 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "modules.Base.BaseHandler",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "tornado.web.web",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.joi... |
5493849142 | import os
import hashlib
from io import open
import emails
import markdown
from bs4 import BeautifulSoup
from mdmail.helpers import sanitize_email_address, is_string
def send(email, subject=None,
from_email=None, to_email=None,
cc=None, bcc=None, reply_to=None,
smtp=None):
"""Send mark... | yejianye/mdmail | mdmail/api.py | api.py | py | 4,544 | python | en | code | 57 | github-code | 18 | [
{
"api_name": "mdmail.helpers.is_string",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "mdmail.helpers.sanitize_email_address",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mdmail.helpers.sanitize_email_address",
"line_number": 39,
"usage_type": "... |
23693738161 | from django.shortcuts import render, redirect, get_object_or_404
from django.http import HttpResponse
from django.contrib.auth.forms import UserCreationForm
from django.conf import settings
from django.contrib.auth.models import User
from .models import DogPost, Comment, CommentVoteLog
from .forms import QuestionForm, ... | momentum-cohort-2020-01/django-multiple-choice-DeeMeyers | questiondog/views.py | views.py | py | 3,274 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.DogPost.objects.order_by",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.DogPost.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.DogPost",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
26719985552 | from turtle import Turtle
from paddle import Paddle
from bricks import Bricks
from scoreboard import Scoreboard
TRAVEL_DIST = 10
paddle = Paddle()
bricks = Bricks()
score = Scoreboard()
class Ball(Turtle):
def __init__(self):
super().__init__()
self.shape("circle")
self.color("alice blue"... | Caroline50505/Breakout_Clone | ball.py | ball.py | py | 829 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "paddle.Paddle",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bricks.Bricks",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scoreboard.Scoreboard",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "turtle.Turtle",
"l... |
41387786128 | # Patrick Komiske, Eric Metodiev, MIT, 2017
#
# Contains two basic Keras models, a convolutional one with three convolutional
# layers and one dense layer and a dense model with an extensible number of
# layers.
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from kera... | francescorubbo/Jet_ML_Tools | python/NN_models.py | NN_models.py | py | 2,731 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "keras.models.Sequential",
"line_number": 27,
"usage_type": "call"
},
{
"api_na... |
28105825128 | from django.test import TestCase
from django.test import Client
from django.contrib.auth.models import User
from forward_app.core_models import Policy
from forward_app.core_models import Comment
from forward_app.core_models import Popularity
from forward_app.core_models import Thread
"""
Tests for all functionality wi... | shiningsunnyday/demodraft | forward_api/forward_app/tests/test_policy.py | test_policy.py | py | 3,346 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "forward_app.core_models.Policy.objects.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "forward_app.core_models.Policy.objects",
"line_number": 15,
"usage_typ... |
15190279711 | # -*- coding: utf-8 -*-
"""
# -*- coding: utf-8 -*-
@author: cami_
Created on Thu Feb 27 11:02:16 2020
NOISYmputer python FILTERING ON HTZ %, MISSING DATA %, MAF
@author: Chrystian Sosa
@Correspondence author: Dr Mathias Lorieux
"""
#IMPORTING MODULES
import pandas as pd
import os.path
from tqdm import tqdm
#nthreads ... | ccsosa/NOISYmputer_Python | NOISYmputer/STEP3_FILTERING_SNP_STEP.py | STEP3_FILTERING_SNP_STEP.py | py | 2,939 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tqdm.tqdm",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.path.isfile",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_n... |
4006373364 | import os
from google.protobuf import message
from google.protobuf import text_format
from tensorflow.core.protobuf import saved_model_pb2
from tensorflow.python.lib.io import file_io
from tensorflow.python.saved_model import constants
from tensorflow.python.util import compat
def read_saved_model(saved_model_dir):
... | tensorflow/tensorflow | tensorflow/python/tools/saved_model_utils.py | saved_model_utils.py | py | 3,940 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.util.compat.as_bytes",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tens... |
21453452360 | from .models import Book, Author, Seller, Genre, Format
from django.contrib.auth.models import User
from .fetch import isbn, author
def db_loader():
data = author()
for i in range(len(data)):
try:
d = data[i]
u1 = User.objects.all()[0]
s1 = Seller.objects.all()[0]
try:
... | Bikash-nath/Bookaholic | backend/bookstore/load.py | load.py | py | 1,521 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "fetch.author",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 11,
"usage_type": "attri... |
16339434180 | # -*- encoding: utf-8 -*-
'''
@project : LeetCode
@File : minimumLengthEncoding.py
@Contact : 9824373@qq.com
@Desc :
给定一个单词列表，我们将这个列表编码成一个索引字符串 S 与一个索引列表 A。
例如，如果这个列表是 ["time", "me", "bell"]，我们就可以将其表示为 S = "time#bell#" 和 indexes = [0, 2, 5]。
对于每一个索引，我们可以通过从字... | passionzhan/LeetCode | minimumLengthEncoding.py | minimumLengthEncoding.py | py | 3,097 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"li... |
16397949749 | import http.server
import io
import cgi
import json
import os
import posixpath
import re
import threading
import traceback
import urllib.request, urllib.parse, urllib.error
import urllib.parse
from avnav_store import AVNStore
from avnav_util import AVNUtil, AVNLog, AVNDownload
from avnav_websocket import HTTPWebSocket... | wellenvogel/avnav | server/handler/httphandler.py | httphandler.py | py | 24,168 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "json.JSONEncoder",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "avnav_websocket.HTTPWebSocketsHandler",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "avnav_util.AVNUtil.getHttpRequestParam",
"line_number": 57,
"usage_type": "at... |
17987110292 | #!/usr/bin/python3
"""
This python module returns the state id of a given state name from
hbtn_0e_6_usa using sqlalchemy ORM in interacting with the database
"""
from sqlalchemy.orm import sessionmaker
from sys import argv
from model_state import Base, State
from sqlalchemy import create_engine
if __name__ == '__mai... | CodeStephens/alx-higher_level_programming | 0x0F-python-object_relational_mapping/10-model_state_my_get.py | 10-model_state_my_get.py | py | 887 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "model_state.Base.metad... |
12801575776 | import json
from os import walk
try:
File = open("Data.json", "r")
LastDirUsed = json.load(File) #Loads the json file into a dictionary
File.close()
except:
LastDirUsed = {}
Data = {}
def DirIndexLoad():
Results = []
CurrentSet = ""
dirPath = ""
#input(LastDirUsed)
while True:
try:
UserInput = input(... | RossMinor/Accessible-Flashcards | DirIndexLoad.py | DirIndexLoad.py | py | 1,478 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 50,
"us... |
10105881122 | from django.db import models
from django.conf import settings
from notification.api import add_notification
import user_profile.models
import dashboard.models
class StudentManager(models.Manager):
# get or create the referral codes for a user
def create_student(self, user, school):
student = user_prof... | mek32390/mchp-dev | mchp/user_profile/managers.py | managers.py | py | 3,012 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Manager",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "user_profile.models.models.Student",
"line_number": 11,
"usage_type": "call"
},
{
"a... |
71969026919 | from absl.testing import parameterized
import numpy as np
import tensorflow as tf
from tensorflow.python.keras import keras_parameterized # pylint: disable=g-direct-tensorflow-import
from official.nlp.modeling.networks import bert_encoder
# This decorator runs the test in V1, V2-Eager, and V2-Functional mode. It
# ... | nicknochnack/RealTimeSignLanguageDetectionwithTFJS | Tensorflow/models/official/nlp/modeling/networks/bert_encoder_test.py | bert_encoder_test.py | py | 9,773 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "tensorflow.python.keras.keras_parameterized.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.keras.keras_parameterized",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.mixed_precision.experiment... |
11536872345 | ###################################################################################################
# this class checks the quality of the calculated SST according to several tests and returns an array with quality flags
# description ¦ bit ¦ value ¦
# ¦ ¦ ¦
# GROSS IR/... | odermatt/snap-musenalp | src/main/python/lswt_quality_check_idl.py | lswt_quality_check_idl.py | py | 13,471 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.reshape",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_n... |
71124984039 | import os
from typing import List
from matplotlib import pyplot as plt
import more_itertools
import numpy as np
import pandas as pd
import tensorflow as tf
from embedding_dataset import EmbeddingDataset
from embedding_generator import EmbeddingPair
from mongo_db_client import MongoDbClient, MongoDbPairDoc
from runnable... | betopompolo/embedding_comparator | src/data_analysis.py | data_analysis.py | py | 5,381 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "runnable.Runnable",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
32844440356 | import requests
# If you are using a Jupyter notebook, uncomment the following line.
# %matplotlib inline
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from PIL import Image
from io import BytesIO
import os
import sys
import json
import glob
import time
indir = sys.argv[1]
outdir = sys.argv[... | sounding-spirit/ocr-evaluation | scripts/azure_ocr.py | azure_ocr.py | py | 1,884 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
18235550790 | """City.py - Contains the City object"""
import os, random, datetime
import pygame
from Project import Project
class City(object):
"""The cities with projects to let"""
def __init__(self, date, name="sometown", xy=(0, 0)):
self.name = name
self.location = xy
self.projects = []
... | rcriii42/DredgeTycoon | City.py | City.py | py | 2,125 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_... |
37292255750 | import pickle
import numpy as np
from util import *
from os import listdir
from os.path import isfile, join
import bisect
from collections import deque
from torch import nn
import torch
from torch import optim
from torch.autograd import Variable
import pickle
import json
from torch.utils.data.dataset import Dataset
fro... | jkhollandjr/reinforcement_learning_wf | dqn_environment_opt.py | dqn_environment_opt.py | py | 19,374 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv1d",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
36132069583 | from django.db import models
from django.contrib.auth.models import User
from django.core.urlresolvers import reverse
class Article(models.Model):
'''
Attributes of a blog post
'''
title = models.CharField(
max_length=100,
)
text = models.TextField(
help_text='The text of the ... | lukitaa/django-blog | blog/models.py | models.py | py | 1,464 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
32820703895 | # standard imports
import logging
# external imports
from fastapi import APIRouter, Depends, status, Query
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
# local imports
from api import dependencies
... | grassrootseconomics/cic-text-interface | api/api_v1/routes/country.py | country.py | py | 4,655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "fastapi.De... |
42098755995 | from tkinter import *
import tkinter.messagebox
from functools import partial
import logic
class Application(Frame):
def __init__(self, master):
super(Application, self).__init__(master)
self.grid()
self.game_logic = logic.ConnectFourRules()
self.img = PhotoImage(file="b.png")
self.img_player = [PhotoIma... | szymanmi/Connect-Four | interface.py | interface.py | py | 3,971 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logic.ConnectFourRules",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "... |
31153829155 | import numpy as np
import os
from god_config import *
import bdpy
dir_path = os.path.dirname(os.path.realpath(__file__)) #current directory
####################################################
#ML part
from sklearn.preprocessing import normalize
from sklearn.model_selection import RepeatedStratifiedKFold, GridSearchCV,... | rohit49plus2/fMRI-554X | rohit_smote_analysis.py | rohit_smote_analysis.py | py | 5,247 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bdpy.BData",
"line_num... |
6525749285 |
from flask import Flask,request,render_template,make_response
from flask_pymongo import MongoClient,PyMongo
import pdfkit
app = Flask(__name__)
mongodb_uri = "mongodb://facci:Uleam16@ds139278.mlab.com:39278/jornadasfacci"
client = MongoClient(mongodb_uri)
db = client.jornadasfacci
@app.route('/registrados')
def re... | diegotoala/jornadasfacci | hello.py | hello.py | py | 951 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pdfkit.from... |
34136049239 | import sqlite3
import csv
conn = sqlite3.connect('Movies.sqlite')
cur = conn.cursor()
conn.executescript('''
DROP TABLE IF EXISTS Movies;
DROP TABLE IF EXISTS Genre;
DROP TABLE IF EXISTS Director;
CREATE TABLE Genre (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT UNIQUE,
name TEXT UNIQUE
);
... | YanShtein/Movie_directors_d3js | movies.py | movies.py | py | 1,925 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 39,
"usage_type": "call"
}
] |
9567286725 | import os
import numpy as np
import binvox_rw
import datetime
import time
from sklearn.model_selection import train_test_split
from tensorflow.keras import Model, initializers, activations
from tensorflow.keras.layers import Input, Dense, Activation, Dropout, Flatten , GaussianNoise
from tensorflow.keras.layers impor... | enesvs/DL-3DCNN | Thesis_Lib.py | Thesis_Lib.py | py | 19,465 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
... |
31791340331 | from typing import Optional, List
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def printList(self):
elements = []
head = self
while head is not None:
elements.append(head.val)
head = head.next
... | Bussler/LeetCode_Grind75 | Leetcode_Problems_Python/Datastructures_Python/Linked_List.py | Linked_List.py | py | 715 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
}
] |
3580960723 | # -*- coding: utf8 -*-
"""Base API module.
Design notes:
- Content Negotiation: All responses are in the JSON-LD format and use the
Web Annotation profile, more formats may be added in future.
"""
import os
import json
from flask import current_app
from flask import abort, request, jsonify, make_response, url_for
... | alexandermendes/explicates | explicates/api/base.py | base.py | py | 10,463 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "explicates.core.repo.get_by",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "explicates.core.repo",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "flask.abort",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "flask.ab... |
36216183197 | #!/usr/bin/env python3
# Created by Nuo Wang.
# Last modified on 8/16/2017.
# Required libraries.
import json
import numpy as np
import pickle
import pandas as pd
import random
### Part 1: Find and save unique doctors.
# Variable to hold file names.
file_list = []
# Generate the names of the BetterDoctor JSON files... | nuwapi/DoctorSnapshot | src/step02_betterdoctor_api_parse.py | step02_betterdoctor_api_parse.py | py | 8,449 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": ... |
4006214654 | import contextlib
import warnings
from google.protobuf import json_format as _json_format
# exports Summary, SummaryDescription, Event, TaggedRunMetadata, SessionLog
# pylint: disable=unused-import, g-importing-member
from tensorflow.core.framework.summary_pb2 import Summary
from tensorflow.core.framework.summary_pb2... | tensorflow/tensorflow | tensorflow/python/summary/summary.py | summary.py | py | 36,923 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.distribute.summary_op_util.skip_summary",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.distribute.summary_op_util",
"line_number": 97,
"usage_type": "name"
},
{
"api_name": "tensorflow.python.framework.constant_op.co... |
39893359400 | import statistics as st
x_list = []
y_list = []
rang = int(input("How many coordinates are in your list? ")) # sets the range and therefore the amount of repetitions asking for a new number
for i in range(rang): # rang is the number of integers you want to sort
x_coord = float(input("Please enter x: "))
y_co... | lukewh12/Simple-py-Stats | regline_calc.py | regline_calc.py | py | 471 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "statistics.mean",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 14,
"usage_type": "call"
}
] |
75373212519 | # -*- coding: utf-8 -*-
"""
Created on Tue Nov 24 22:27:13 2020
Keras for Beginners: Building Your First Neural Network
A beginner-friendly guide on using Keras to implement a simple
Neural Network in Python
The Problem: MNIST digit classification
https://victorzhou.com/blog/keras-neural-network-tutorial/
... | hugohvf/SistemasInteligentes | Prova 2/Keras/mlp_mnist_classification_keras.py | mlp_mnist_classification_keras.py | py | 5,183 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "mnist.train_images",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mnist.train_labels",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "mnist.test_images",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "mnist.test_la... |
3532847384 | #!/usr/local/bin/python3
import sys
import sqlite3 as lite
from datetime import datetime, timedelta
import argparse
def get_next_saturday(date):
d = datetime.strptime(date, '%Y-%m-%d')
t = timedelta((12 - d.weekday()) % 7)
saturday = (d + t).strftime('%Y-%m-%d')
return(saturday)
def main(args):
entered_date = ... | jakeh524/Wrong-Generation | wrong-generation-utilities/wrong_generation.py | wrong_generation.py | py | 1,258 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlite3... |
13922488010 | from rest_framework import serializers
from rest_framework.fields import CharField
from poll_api.models import Poll, Participant
class PollListSerializer(serializers.ModelSerializer):
"""
/poll serializer
"""
pseudo = CharField(write_only=True, allow_null=True)
class Meta:
model = Poll
... | ACroisille/buzzytrip-back | poll_api/serializers/poll_serializers.py | poll_serializers.py | py | 1,599 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "rest_framework.fields.CharField",
"line_number": 11,
"usage_type... |
73440678119 | # -*- coding: utf-8 -*-
from modules import imageResizeWX, compressionTools
from wx import BITMAP_TYPE_PNG, BITMAP_TYPE_JPEG, BITMAP_TYPE_BMP
def image_add(self, image, size, parent, category, format=BITMAP_TYPE_PNG,
quality=None, compression=compressionTools.COMPRESSION_FMT.LZMA):
if self.templates... | Danixu/components-manager | plugins/database/common/image.py | image.py | py | 2,786 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wx.BITMAP_TYPE_PNG",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "modules.compressionTools.COMPRESSION_FMT",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "modules.compressionTools",
"line_number": 7,
"usage_type": "name"
},
{... |
13109293020 | from hmac import new
from hashlib import sha256
from time import time
from requests import get
from requests.auth import AuthBase
# https://docs.cloud.coinbase.com/sign-in-with-coinbase/docs/api-key-authentication
# GET https://api.coinbase.com/v2/accounts
api_url = "https://api.coinbase.com/v2/accounts"
api = '... | NullCharacter0/CoinBase-API-Authorization-Example-Python | Authorization-V2-Example.py | Authorization-V2-Example.py | py | 1,193 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.auth.AuthBase",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_... |
37144983805 | from flask import render_template
from flask import redirect
from flask import request
from flask import Flask
from bs4 import BeautifulSoup
from house import House
import requests
import time
headers = {}
for ln in open('headers.txt','r').read().split('\n'):
headers[ln.split(':')[0]] = ':'.join(ln.split(':')[1:])... | wa1ker38552/Hoogle | index.py | index.py | py | 4,194 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.request",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "house.House",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line... |
35760265858 | from squadron import commit
from squadron.fileio.dirio import makedirsp
import pytest
import jsonschema
from helper import are_dir_trees_equal, get_test_path
import os
import shutil
import json
from squadron.fileio.dirio import makedirsp
def checkfile(filename, compare):
with open(filename) as ofile:
asse... | gosquadron/squadron | tests/test_apply.py | test_apply.py | py | 5,551 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "helper.get_test_path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"li... |
19017805483 | import PyPDF2
import pyttsx3
pdfReader = PyPDF2.PdfReader(open('osama.pdf.pdf', 'rb'))
speaker = pyttsx3.init("PDF")
for page_num in range(pdfReader.numPages):
text = pdfReader.getPage(page_num).extract_text()
speaker.say(text)
speaker.runAndWait()
speaker.stop()
speaker.save_to_file(text, 'audio.mp3')... | semo4/boycott | aduio_book.py | aduio_book.py | py | 342 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyPDF2.PdfReader",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 7,
"usage_type": "call"
}
] |
71201302760 | from random import random
import cv2
import time
from datetime import datetime
import os
import Switcher
import random
import HandTrackingModule as htm
wCam , hCam = 648, 468
cap = cv2.VideoCapture(0)
cap.set(3, wCam)
cap.set(4, hCam)
pTime = 0
checkFinger = Switcher.PythonSwitch()
detector = htm.handDetector()
tipIds ... | davidoodugama/Advance-security-login-system | handdetection.py | handdetection.py | py | 2,608 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Switcher.PythonSwitch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "HandTrackingModule.handDetector",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
32724245868 | # -*- coding: utf-8 -*-
from rgc import RGC
from data import get_separated_data
import numpy as np
def rgc_acc(alpha, beta, mu, train_ratio, random_state, dataset):
x_train, x_test, y_train, y_test, num_class = get_separated_data(dataset, train_ratio, random_state)
# load model
model = RGC(k=5, alpha=al... | Lucius-lsr/RGC | semi_classification.py | semi_classification.py | py | 655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "data.get_separated_data",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rgc.RGC",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 16,
"usage_type": "call"
}
] |
74572423721 |
from sklearn.metrics.pairwise import cosine_similarity
import operator
import pandas as pd
def similar_users(customer_id, matrix, k=3):
"""
Find most similar users using cosine similarity
:param customer_id: choosen user
:param matrix: user-user matrix
:param k: number of similar users
:retur... | anandharajakalya/recommendation_system | colloborative_filtering_user_based/core/algorithm.py | algorithm.py | py | 2,835 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 49,
"usage_type": "call"
}
] |
71886028840 | import itertools, copy
def possibilities(param):
pre_perms_list = list()
question_mark_indexes = list()
clone = list(copy.deepcopy(param))
solution = list()
for index, char in enumerate(param):
if char == "?":
pre_perms_list.append([1, 0])
question_mark_indexes.appe... | SeansC12/codewars | ones_zeroes_wildcards.py | ones_zeroes_wildcards.py | py | 687 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "copy.deepcopy",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 14,
"usage_type": "call"
}
] |
11546400331 | import http.server
import logging
import threading
import urllib.parse
logging.basicConfig(level=logging.DEBUG,
format='%(levelname)s: %(message)s [%(asctime)s]')
SERVER_ADDRESS = ('localhost', 20456)
def run(target):
class RequestHandler(http.server.BaseHTTPRequestHandler):
def d... | avamsi/Flash | server.py | server.py | py | 890 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "http.server.server",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "http.ser... |
25097818706 | from jina import Document, DocumentArray, DocumentArrayMemmap
from finetuner.tuner.dataset import InstanceDataset
def test_empty_docarray():
ds = InstanceDataset(DocumentArray())
assert len(ds) == 0
def test_empty_list():
ds = InstanceDataset([])
assert len(ds) == 0
def test_da_input():
data ... | ajjurcom/finetuner | tests/unit/tuner/dataset/test_instance_dataset.py | test_instance_dataset.py | py | 2,366 | python | en | code | null | github-code | 18 | [
{
"api_name": "finetuner.tuner.dataset.InstanceDataset",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "jina.DocumentArray",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "finetuner.tuner.dataset.InstanceDataset",
"line_number": 12,
"usage_type": "call... |
11691888977 | import discord
import pandas
# 處理要送出的訊息
# 會用到的指令：推播、!today
def today(query_result, today_date): # 前面是tuple 後面是日期
# title : 今天 (日期) 生日的玩家有:
# description : ID_1(osu profile link)
# ID_2(osu profile link)
# 或者沒有人
embedded_msg_title = "今天 (" + today_date + ") 生日的玩家有：\... | Flask3/flask3Bot | msg_wrapper.py | msg_wrapper.py | py | 4,528 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "discord.Embed",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "discord.Embed",
"line_number": 138,
"usage_type": "call"
}
] |
12886547490 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home,name="home"),
path('bokking/', views.booking,name="booking"),
path('form/', views.formview, name="form"),
path('checkout/',views.checkout,name='check'),
] | shafip/play-sport | playsport/turf/urls.py | urls.py | py | 257 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
39684203924 | import torch.utils.data as data
import numpy as np
import sys
sys.path.append("../..") # adds higher directory to python modules path
sys.path.append("..") # adds higher directory to python modules path
from MGFNmain.utils.utils import process_feat
import torch
torch.set_default_tensor_type('torch.cuda.FloatTensor')
... | marctimjen/Weakly-supervised-anomaly-detection | MGFNmain/datasets/dataset.py | dataset.py | py | 6,281 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
31167185004 | # 203. Remove Linked List Elements
# https://leetcode.com/problems/remove-linked-list-elements/
from typing import Optional
# Definition for singly-linked list.
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
class Solution:
def removeElements(self, he... | sgrade/pytest | leetcode/remove-linked-list-elements.py | remove-linked-list-elements.py | py | 704 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
}
] |
28108418210 | #!/usr/bin/env python3
import gmpy
from Cryptodome.Util import number
from itertools import combinations
def load_output():
ret = {'n':[], 'c':[]}
with open("output_0ef6d6343784e59e2f44f61d2d29896f.txt", 'rb') as fd:
while True:
line = fd.readline()
if not line: break
... | onealmond/hacking-lab | cryptohack/endless-emails/decrypt.py | decrypt.py | py | 1,056 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Cryptodome.Util.number.inverse",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Cryptodome.Util.number",
"line_number": 31,
"usage_type": "name"
},
{
"api_... |
41628971700 | import time
import json
import logging
import requests
import redis
from datetime import datetime, timezone
def main():
redis_client = redis.StrictRedis("redis", decode_responses=True)
while True:
all_broadcasters = redis_client.zrangebyscore("BROADCASTERS", min='-inf', max="+inf", withscores=False... | VilksJanis/dcsa_multimodal | lock_app/src/main.py | main.py | py | 2,480 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "redis.StrictRedis",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.from... |
24430870796 | import requests
url = "http://10.5.0.219/light/test_bulb/turn_on"
headers = {
'authorization': "Digest username=\"admin\", realm=\"asyncesp\", nonce=\"\", uri=\"/light/test_bulb/turn_on?r=255&g=0&b=0&brightness=255\", qop=auth, nc=, cnonce=\"\", response=\"2858d15a99bb1659a04056065b7c7c3f\", opaque=\"\"",
'co... | kleberbaum/smart-home | main.py | main.py | py | 636 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.request",
"line_number": 14,
"usage_type": "call"
}
] |
3089591870 | import pandas as pd
import pyarrow
from prefect import flow, task
from prefect_gcp import GcpCredentials
@task(retries=3)
def fetch(dataset_url: str) -> pd.DataFrame:
"""Read taxi data from web into pandas DataFrame"""
df = pd.read_parquet(dataset_url)
return df
@task()
def write_bq(df: pd.DataFrame, co... | raviteja147/Data-Engineering | prefect/code/etl_web_to_bq.py | etl_web_to_bq.py | py | 1,133 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_parquet",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "prefect.task",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame... |
17841713269 | #
# import numpy as np
# import matplotlib.pyplot as plt
# from matplotlib.widgets import Slider
#
#
#
# from scipy.fft import dct, idct
# import matplotlib.pyplot as plt
# N = 100
# t = np.linspace(0,20,N, endpoint=False)
# x = np.exp(-t/3)*np.cos(2*t)
# y = dct(x, norm='ortho')
# window = np.zeros(N)
# ... | 11jolek11/DataStreamsList1 | main.py | main.py | py | 2,357 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
30049301634 | import glob
import os
import sys
from lxml import etree
if len(sys.argv) != 2:
sys.exit('Usage: ' + sys.argv[0] + ' <ROM hack name>')
for filename in glob.glob(os.path.join('xml', 'moves', '*.xml')):
tree = etree.parse(filename)
move_name = filename.split('/')[-1].split('.')[0].lower().replace('_', '')
... | EverOddish/Westwood | showdown/moves_to_showdown.py | moves_to_showdown.py | py | 1,170 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 10,
... |
71337196839 | import numpy as np
import matplotlib.pyplot as plt
import tkinter as Tk
import gui_stuff as gui
import media as media
gui.set_rcParams()
title = "Reflection and Transmission of a Stack vs. Wavelength"
root = Tk.Tk()
root.title(title)
def m(kfz,z):
return np.array([[np.cos(kfz*z),np.sin(kfz*z)/kfz],[-np.sin(kfz*z)... | sskupin/theo_opt | stack_lambda.py | stack_lambda.py | py | 8,888 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gui_stuff.set_rcParams",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tkinter.Tk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_num... |
23613898962 | #!/usr/bin/python
# coding=utf-8
import requests
import unittest
import json
from common.public import *
from common.login import *
import os
# from requests_toolbelt import MultipartEncoder
class ICEM_Interface(unittest.TestCase):
@classmethod
def setUpClass(self):
self.headers = headers_fileUpload
... | EmmySmith/autoInterfaceTest | test_interface/CEM/loyaltyManagement/couponManagement/fileUpload.py | fileUpload.py | py | 1,381 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath"... |
35729909302 |
import os
from fastapi import FastAPI
host = os.popen('hostname')
hostname = host.read()
app = FastAPI()
@app.get("/grettings")
async def gretting():
return {"message":"Hello World from"+hostname}
@app.get("/square/{numero}")
async def square(numero: int):
return {"number":numero , "square": numero*numero}
| Jenevta/everischallenge | Task1/backend/app/main.py | main.py | py | 319 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.popen",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 8,
"usage_type": "call"
}
] |
3987503014 | from absl.testing import parameterized
import numpy as np
from tensorflow.dtensor.python import layout as layout_lib
from tensorflow.dtensor.python import numpy_util
from tensorflow.dtensor.python.tests import test_util
from tensorflow.python.eager.polymorphic_function import polymorphic_function
from tensorflow.pytho... | tensorflow/tensorflow | tensorflow/dtensor/python/tests/sparse_test.py | sparse_test.py | py | 4,121 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.dtensor.python.layout.Layout",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.dtensor.python.layout",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tensorflow.dtensor.python.layout.Mesh",
"line_number": 20,
... |
21580506440 | import argparse
import sys
sys.path.append('/mnt/efs/project/')
import random
from datetime import datetime
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim.lr_scheduler import ReduceLROnPlateau
#BartBase
from transformers import BartTokenizer, BartForConditionalGeneration
#Dataloader... | amazon-science/aws-dialogue-qa-pair-generation | coverage/VARIANCE.py | VARIANCE.py | py | 5,184 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
42062448969 | # https://flask.palletsprojects.com/en/2.2.x/patterns/fileuploads/
# Need to launch the server first
from flask import Flask, g
from flask_cors import CORS
from routes.auth import auth
from routes.scans import scans
from routes.global_data import global_data
app = Flask(__name__)
app.register_blueprint(scans, url_pre... | u-Bocu/Trashinator3000 | trashinator-flask-api/app.py | app.py | py | 770 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "routes.scans.scans",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "routes.auth.auth",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "routes.global... |
5312691262 | # -*- coding: utf-8 -*-
"""
Created on Wed May 31 20:42:20 2017
@author: byung
"""
import urllib.request
from urllib.parse import quote_plus
from bs4 import BeautifulSoup
import pandas as pd
import re
import numpy as np
import time
from selenium import webdriver
import requests
import json
def searchNaverNews(search... | byungjun0689/DataScience | 4. KMU/Third Semester/03. Text Mining (2017)/Project(Marketing Support Tools)/Naver.py | Naver.py | py | 10,090 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "pandas.to_datetime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.quote_plus",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "urllib.request.... |
10758746810 | from functions import load_settings_params as lsp
import pickle
from os import path as op
from matplotlib import pyplot as plt
import numpy as np
print('Load settings and parameters')
settings = lsp.settings()
params = lsp.params()
vector_types = ['hidden', 'cell', 'word_vectors', 'bow_vectors']
vector_types = ['hidd... | FAIRNS/sentence-processing-MEG-LSTM | Code/MEG/PCA_analyze_weight.py | PCA_analyze_weight.py | py | 2,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "functions.load_settings_params.settings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "functions.load_settings_params",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "functions.load_settings_params.params",
"line_number": 9,
"usage_typ... |
27920637457 | import json
import uuid
import types
from twisted.internet import defer, task, reactor
from kademlia.network import Server
from kademlia.protocol import KademliaProtocol
from kademlia.crawling import NodeSpiderCrawl, ValueSpiderCrawl, RPCFindResponse
from kademlia.utils import digest
from kademlia.storage import Forge... | EricssonResearch/calvin-base | calvin/runtime/south/storage/twistedimpl/dht/append_server.py | append_server.py | py | 20,827 | python | en | code | 282 | github-code | 18 | [
{
"api_name": "calvin.utilities.calvinlogger.get_logger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "calvin.utilities.calvinlogger",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "twisted.python.log.startLogging",
"line_number": 22,
"usage_type":... |
6781598045 | import datetime
class Bugzilla:
"""
Default class for a Red Hat's Bugzilla listing.
Attributes
------------
description: :class:`str`
Description of the bug in Red Hat's Bugzilla.
id: :class:`str`
ID of the bug in Red Hat's Bugzilla.
url: :class:`str`
URL of the bug in Red Hat's Bugzilla.
"""
def __ini... | CapnS/RedHatCVE | redhat/cve.py | cve.py | py | 8,367 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 190,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 190,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 191,
"usage_type": "call"
},
{
"a... |
21135884412 | import json
from typing import Optional
from bs4 import BeautifulSoup
import requests
import re
import argparse
class ObjectScrapper:
def __init__(self) -> None:
pass
def __checkurl(self, asset: str):
r = requests.get(f"https://statusinvest.com.br/fundos-imobiliarios/{asset}", headers={'User-Agent... | Reverendyz/assetScrapper | scrapper/main.py | main.py | py | 3,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_numb... |
1590061964 | """
A module that can help to get max performance of your laptop.
Of course, if user's machine is a desktop it's pretty useless.
"""
import os
from sys import exit
from modules.logger import logger
class PerformanceHandler:
"""
A class of machine performance handler.
Attributes
... | doopath/doondler | modules/performance_handler.py | performance_handler.py | py | 1,379 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "modules.logger.logger.log",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "modules.logger.logger",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "os.system",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.exit",
... |
26095345952 | import os
import numpy as np
import scipy as sp
import scipy.signal as signal
import scipy.fftpack as fft
import scipy.io as io
import scipy.io.wavfile
import matplotlib.pyplot as plt
import rtmidi
from rtmidi import midiconstants
import pyaudio
midiout = rtmidi.MidiOut()
midiout.open_virtual_port('TICS-MIDI')
# Defi... | lukeshimanuki/tics | audio2midi.py | audio2midi.py | py | 1,918 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rtmidi.MidiOut",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "scipy.signal.hanning",
"line... |
37814341878 | import extra_keras_metrics
from keras.layers import Layer, Dense
from keras.models import Model
from typing import Tuple, List
def head(layer: Layer)->Layer:
return Dense(1, activation="sigmoid")(layer)
def model(inputs: Tuple[Layer, Layer], output: Layer, metrics:List=None)->Model:
model = Model(
i... | LucaCappelletti94/arrp | arrp/model.py | model.py | py | 555 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.layers.Layer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "keras.layers.Dense",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "keras.layers.Layer",... |
23694251951 | from django.contrib.auth.models import User
from django.db import models
from django.utils.text import slugify
Categories = (
('HTML', 'HTML'),
('CSS', 'CSS'),
('JavaScript', 'JavaScript'),
('JSON', 'JSON'),
('AJAX', 'AJAX'),
('Python', 'Python'),
('Django', 'Django')
)
class Book(models.... | momentum-cohort-2020-01/django-freeshelf-team-dingo | core/models.py | models.py | py | 1,764 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.db.models.DateTimeField",
"line_number": 17,
"usage_type": "call"
},
{
"api_n... |
73100778601 | import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from common.config_utils import read_config
from common.log_utils import log_pri
current_path = os.path.dirname(__file__)
driver_path = os.path.join(current_path, '..', read_config.driver_path)
class Browser:
def __ini... | yuchengyu1994/PO_UI_Test_Framework | common/browser.py | browser.py | py | 2,021 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8... |
72992363881 | from ipinfo import trysites
import rich
def main():
finaldata = trysites.trysites()
if not finaldata:
print("None of the IP sites could return even a valid IP.",
"Perhaps check your network connection?")
else:
rich.print(finaldata)
if __name__ == "__main__":
main()
| ClaireSoftware/IPinfo | src/ipinfo/__main__.py | __main__.py | py | 316 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ipinfo.trysites.trysites",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ipinfo.trysites",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rich.print",
"line_number": 11,
"usage_type": "call"
}
] |
2903166633 | from data.dataset.utility import Indexer
from data.dataset.abstract_dataset import AbstractDataset
class MultilexnormDataset(AbstractDataset):
def __init__(self, args, inputs, outputs):
super().__init__(args, inputs, outputs)
self.inputs = inputs
self.outputs = outputs
valid_indic... | ufal/multilexnorm2021 | data/dataset/multilexnorm.py | multilexnorm.py | py | 901 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "data.dataset.abstract_dataset.AbstractDataset",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "data.dataset.utility.Indexer",
"line_number": 12,
"usage_type": "call"
}
] |
27493043054 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from django.shortcuts import render, get_object_or_404
from django.shortcuts import render
from django.views.generic import RedirectView, TemplateView
from django.conf import settings
from django.core.urlresolvers import reverse
from django.core.mail import send_mail
from d... | secnot/tutorial-tienda-django-paypal-1 | tiendalibros/pagos/views.py | views.py | py | 4,876 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "django.views.generic.RedirectView",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.SITE_URL",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 42,
"usage_type": "name"
},
... |
30626852776 | # -*- coding: utf-8 -*-
import scrapy
from scrapy import Request
from VideoSpider.items import TvItem
class CctvNewsSpider(scrapy.Spider):
name = 'CCTV_news'
allowed_domains = ['news.cctv.com']
start_urls = ['http://news.cctv.com/']
def parse(self, response):
common = response.css('div.top_nav... | guanshilong/Scrapy-spiders | VideoSpider/spiders/CCTV_news.py | CCTV_news.py | py | 2,536 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "VideoSpider.items.TvI... |
35526991747 | from django.core.urlresolvers import reverse
from drop.giftcard.models import GiftCardProduct, Credit
from drop.models import Order, Product
from drop.payment.api import PaymentAPI
from drop.test_utils import DropTestCase, print_order
from decimal import Decimal
class GiftCardTestCase(DropTestCase):
def test_giftc... | chriscauley/django-drop | drop/giftcard/tests.py | tests.py | py | 2,902 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "drop.test_utils.DropTestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "drop.giftcard.models.GiftCardProduct.objects.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "drop.giftcard.models.GiftCardProduct.objects",
"line_number"... |
20013796639 | # Usage: python patches_store.py -mm="ram" --debug=1 -pl 32 -po 0 \
# -ts 0 -tnl 10000 -bs=5000 --batch_size=128 --filters=256 \
# -m="smcnn_semantic" --phase="repeat" -sc=False --class_n=12 \
# --log_dir="../data/summaries/" --path="../cv_data/" --im_h=8492 \
# --im_w=7995 --band_n=2 --t_len=7 --id_first=8 -tof=False ... | DiMorten/wildfire_fcn | src/patch_extract/main.py | main.py | py | 12,850 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "deb.prints",... |
2432069793 | #!/usr/bin/env python3
import os
import sys
#runPath = os.getcwd() #radni direktorij
runPath = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(runPath, "..")) #dodaj parent dir u PATH varijablu
from lib.Config import Configuration
from lib.Toolkit import pad
import lib.DatabaseLayer as db ... | CERT-hr/modified_cve-search | sbin/ncert_redis.py | ncert_redis.py | py | 2,728 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"lin... |
34897050162 | import sys
from setuptools import setup
dependencies = [
'netaddr',
'netifaces',
]
if sys.version_info[:2] < (2, 7):
dependencies.append('argparse')
setup(
name='cidrchk',
version='1.0.0',
author='Joseph Hunkeler',
author_email='jhunkeler@gmail.com',
description=('A simple "Is my comp... | jhunkeler/cidrchk | setup.py | setup.py | py | 695 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 12,
"usage_type": "call"
}
] |
5179156972 | ####
__author__ = 'AM7'
## dataset https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
####
import os
import cv2
import numpy as np
from random import shuffle
from tqdm import tqdm
import random
from sklearn import prepro... | 7AM7/Deep-Learning | Tensorflow/Facial Expression Recognition/train_model.py | train_model.py | py | 2,638 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "imutils.paths.list_images",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "imutils.paths",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "random.seed",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
... |
6408672582 | import os
from pathlib import Path
import sys
sys.setrecursionlimit(3000)
# Default Directory Paths
home_dir = str(Path.home())
PROJECT_DIR = os.path.join(home_dir, ".project03")
CACHE_PATH = os.path.join(PROJECT_DIR, "cache")
LOG_DIR = os.path.join(PROJECT_DIR, "logs")
os.makedirs(CACHE_PATH, exist_ok=True)
os.ma... | Mirindi95/PrIDcon | pridcon/startup.py | startup.py | py | 351 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.home",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.join",
... |
21761992838 | import time
import find_remove_find5
import sort_then_find3
import walk_through7
from typing import Callable, List, Any
def time_find_two_smallest(find_func: Callable[[List[float]], Any],
lst: List[float]) -> float:
"""find_func(lst)를 실행하는 데 몇 초가 걸렸는지 반환한다.
"""
t1 = time.perf_c... | gilbutITbook/007016 | chap12/time_find_remove_find.py | time_find_remove_find.py | py | 1,357 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "typing.Callable",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
35449751089 | from collections import Counter
import time
class TimingCtx:
def __init__(self, init=None, init_ns=None, first_tic=None):
self.timings = init if init is not None else Counter()
self.ns = init_ns if init_ns is not None else Counter()
self.arg = None
self.last_clear = time.time()
... | facebookresearch/diplomacy_searchbot | fairdiplomacy/utils/timing_ctx.py | timing_ctx.py | py | 3,747 | python | en | code | 39 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.time",
"line... |
15934016212 | import datetime
from django.contrib import messages
from django.shortcuts import render, redirect
from django.views.decorators.http import require_GET
from MyApp.models.models import Category
# Create your views here.
pathFolder="pages/categorys/"
def index(request):
if 'search' in request.GET:
search = ... | MengDeva/MyProject_Pluto | MyApp/controllers/category_views.py | category_views.py | py | 1,981 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "MyApp.models.models.Category.objects.filter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "MyApp.models.models.Category.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "MyApp.models.models.Category",
"line_number": 14,
"... |
41213651748 | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
\x00\x00\xb3\xe5\
\xff\
\xd8\xff\xe0\x00\x10\x4a\x46\x49\x46\x00\x01\x01\x01\x00\x6a\x00\
\x6a\x00\x00\x... | OsamaM0/System_Administration | MainApplication/res_rc.py | res_rc.py | py | 1,566,235 | python | ja | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtCore.qVersion",
"line_number": 26071,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 26071,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.qRegisterResourceData",
"line_number": 26080,
"usage_type": "call"
},
{
"ap... |
73413266920 | import open3d
from open3d import pipelines
import numpy as np
import os
import argparse
import yaml
import sys
parser = argparse.ArgumentParser(description='Run 3D reconstruction on a sequence of RGB-D images.')
parser.add_argument('-c', '--camera', type=str, required=True, help='path to the camera intrinsics yaml fil... | paulie17/Photoneo-RGBD-Data-Collection | Development/Collect-Photoneo-RGBD/tsdf_fusion.py | tsdf_fusion.py | py | 4,088 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"li... |
19239646925 | import datetime
import random
import string
from daddypunmaster3000.models import GameSession
def create_session():
while True:
random_id = ''.join(
random.choice(string.ascii_lowercase + string.digits)
for _ in range(4)
)
try:
GameSession.objects.get(... | bjarniegill/DaddyPunMaster3000 | daddypunmaster3000/utils.py | utils.py | py | 844 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.choice",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "daddypun... |
30050154435 | from django.shortcuts import render,HttpResponse
from django.views.generic.list import ListView
import sys
sys.path.append("..")
from ZpModel.models import Zp,CV,CV2Zp,Com
from django.db.models import Q
import re
from functools import reduce
import operator
from django.contrib.auth.models import User
def page_not_foun... | mainfxyz/Recruitment-website | zpWeb/view.py | view.py | py | 7,468 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.au... |
3275121078 | # Selenium Web Scraping
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import time
import logging
def load_more_items(driver):
status = True
while status:
driver.find_element(By.XPATH, '//body').send_keys(Keys.END)
time.sleep(4)
try:
... | Joanna-Khek/food-explorer | src/pipeline_utils/extract.py | extract.py | py | 6,148 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.common.by.By",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.END",
"line_number": 11,
"... |
34238333889 | import folium
from app.tools import convert_adress_to_coordinates
def create_bars_map(current_location, bars_geo, path='app/templates/_map.html'):
current_coordinates = convert_adress_to_coordinates(current_location)
map = folium.Map(
location=current_coordinates,
zoom_start=12,
)
fol... | Ollub/FindFiveBars | app/map.py | map.py | py | 651 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.tools.convert_adress_to_coordinates",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "folium.Map",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "folium.Marker",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "folium... |
39829396500 | import nsetools
from pprint import pprint
from dotenv import load_dotenv
import os
import requests
from twilio.rest import Client
load_dotenv("./.env")
API_KEY = os.environ.get("NEWS_API_KEY")
ACCOUNT_SID = "AC6f06d4b0637f1dc296d7bd49c759ae6e"
AUTH_TOKEN = os.environ.get("TWILIO_AUTH_KEY")
FROM=os.environ.get("FROM")... | RipperAce/stock_news | main.py | main.py | py | 2,621 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
39448640523 | from ytmusicapi import YTMusic
import csv
import time
ytmusic = YTMusic('./src/headers_auth.json')
playlists = ytmusic.get_library_playlists()
lib_playlists = {}
playlist_ids = []
for i in playlists:
playlist_ids.append(i['playlistId'])
lib_playlists[i['title']] = i
# print(playlist_ids)
playlist = ytmusic.g... | ShivangDave/YoutubeMusicAPIWrapper | script.py | script.py | py | 1,642 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "ytmusicapi.YTMusic",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 25,
"usage_type": "call"
}
] |
70921950441 | import socket
import selectors
import argparse
def recv_data(conn):
data = conn.recv(1024)
if data:
print(data.decode())
else:
e_poll.unregister(conn)
conn.close()
def acc_conn(p_server):
conn, addr = p_server.accept()
print("[*] Acception connection from %s:%d" % (addr[0... | chonlon/Small-Test-Projects | python/network/TCP/EchoServer.py | EchoServer.py | py | 1,179 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "selectors.EVENT_READ",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "selec... |
40950378685 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class SingleDirectGNN(nn.Module):
def __init__(self, hidden_size, pos_emb, step=1):
super(SingleDirectGNN, self).__init__()
self.pos_emb = pos_emb
self.step = step
self.hidden_size = hidden_size
... | xuguangning1218/IntGNN_ICASSP2023 | pytorch_code/models/singleDirectGNN.py | singleDirectGNN.py | py | 3,053 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
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