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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73675758266 | """VIEWS.
List of endpoints identified at urls.py
"""
# -*- coding: utf-8 -*-
import json
from io import BytesIO
from django.contrib.auth import authenticate, login, logout
from django.http import HttpResponse
from django.views.decorators.cache import never_cache, cache_page
from django.views.decorators.csrf import cs... | Mosquito-Alert/mosquito_alert | tigapublic/views.py | views.py | py | 20,621 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "django.conf.settings.DATABASES",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "psycopg2.connect",
"line_number": 62,
"usage_type": "call"
},
{
"api_nam... |
30358168611 | import unittest
from unittest import mock
from pyface.api import OK
from traits.api import Event, File, HasTraits
from traitsui.api import FileEditor, Item, View
from traitsui.tests._tools import (
BaseTestMixin,
requires_toolkit,
ToolkitName,
)
from traitsui.testing.api import DisplayedText, KeyClick, Ke... | enthought/traitsui | traitsui/tests/editors/test_file_editor.py | test_file_editor.py | py | 5,818 | python | en | code | 290 | github-code | 6 | [
{
"api_name": "traits.api.HasTraits",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "traits.api.File",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "traits.api.Event",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "traits.api.File... |
29675360602 | from dataclasses import dataclass
import json
from elephant_news.llm.llm import llm_api, Log, Message
@dataclass
class Source:
id: int
description: str
source_type: str
is_primary_source: bool
is_available_online: bool
def list_sources(article: str) -> list[Source]:
log = Log("gpt-3.5-turbo... | MattUnderscoreZhang/TheWholeElephant | backend/elephant_news/analysis/sources.py | sources.py | py | 1,172 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "elephant_news.llm.llm.Log",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "elephant_news.llm.llm.Message",
"line_number": 30,
"usage_type": "call"
},
{
"api_... |
2002639200 | # Day 8 (2023)
from colorama import Fore, init
import math
# Initialize colorama
init(autoreset=True)
day = 8 #Edit this
year = 2023 #Edit this
def parse():
filepath = 'data/day' + str(day) + '.txt'
with open(filepath, 'r') as f:
input = f.readlines()
return input
def solve_part1(input):
... | przemekgrzesiak91/AoC | 2023/day8.py | day8.py | py | 2,010 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "colorama.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "math.lcm",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "colorama.Fore.YELLOW",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"... |
5393499934 | from flask_app import app
from flask import redirect,request,render_template
from flask_app.model.user import User
@app.route('/')
def all_users():
all_users = User.show_all()
print(all_users)
return render_template('index.html', users=all_users)
@app.route('/form')
def add_user():
return ... | Ndukwopeace/mysql_flask_assignments | Kalu_Ndukwo_peace_Users/flask_app/controller/user_routes.py | user_routes.py | py | 633 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_app.model.user.User.show_all",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_app.model.user.User",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"a... |
10742661707 | # BasicAuthentication is the base class that we will inherit as our auth class, and we'll overwrite the default behaviour by using the authenticate method
import jwt
from django.conf import settings
from rest_framework.authentication import BasicAuthentication
from rest_framework.exceptions import PermissionDenied
from... | justingrant94/BackEnd--Project4 | jwt_auth/authentication.py | authentication.py | py | 1,216 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.authentication.BasicAuthentication",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.exceptions.PermissionDenied",
"line_number... |
39061628756 | import requests;
import sys;
from bs4 import BeautifulSoup;
from bs4 import element;
import json;
import datetime;
import os;
import re;
class download_xtract:
def __init__(self, url):
print("Download & Extraction Started......");
self.url = url;
self.page = "";
self.sp = "";
... | sivaswav/scrapper | download_xtract.py | download_xtract.py | py | 2,817 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_... |
7572351450 | import pylatlon
import sys
import os
import logging
import cartopy
import cartopy.crs as ccrs
from cartopy.io import shapereader
from cartopy.mpl.gridliner import LONGITUDE_FORMATTER, LATITUDE_FORMATTER
import matplotlib
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.ba... | MarineDataTools/pylatlon | pylatlon/pylatlon_gui.py | pylatlon_gui.py | py | 12,178 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "cartopy.crs.PlateCarree",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cartopy.crs",
"line_number": 23,
"usage_type": "name"
},
... |
5001400157 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import json
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse
from django.core.urlresolvers import reverse
from django.core.context_processors import csrf
from django.views.generic import View
from django.core.e... | duonghau/hoidap | question/views.py | views.py | py | 7,709 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.View",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.Question.objects.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.Question.objects",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
21700468285 | import torchvision.transforms as T
from torch.utils.data.dataloader import DataLoader
import os.path as osp
import glob
import re
import numpy as np
import torch
import copy
import random
from torch.utils.data import Dataset
from torch.utils.data.sampler import Sampler
from collections import defaultdict
from PIL impor... | Cihsaing/SJDL-Foggy-Vehicle-Re-Identification--AAAI2022 | SJDL/dataset.py | dataset.py | py | 14,991 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "PIL.ImageFile.LOAD_TRUNCATED_IMAGES",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageFile",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 22,
"usage_type": "call"
},
{
... |
11296067457 | import requests
import constants
import json
data = {
"a": "JGStockListox",
"c": "JGTracking",
"apiv": "w6",
"Token": constants.token,
"Type": 1,
"OrderType": 0,
"index": 0,
"st": 40,
"isPer": 1,
"UserID": constants.userId,
}
'''
{
"Time": 1511663560,
"StockList": [{
... | mykright/auto_stock_search | 个人股东追踪.py | 个人股东追踪.py | py | 1,015 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "constants.token",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "constants.userId",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
72471332028 | from flask import Blueprint
from flask import render_template, flash, redirect, url_for, abort
from flask import request
from flask_login import current_user, login_required, login_user, logout_user
from app.consts import INVALID_CREDENTIALS_MESSAGE, LOG_IN_MESSAGE, LOG_OUT_MESSAGE, TASK_CREATED_MESSAGE, TASK_DELETED_... | DBSantiago/flask-tasks-crud | app/views.py | views.py | py | 4,336 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.User.get_by_id",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.User",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "flask.render_templa... |
41251148827 | import torch
import torch.nn as nn
from Transformer_Decoder import decoder , Trainer
from my_models import my_model
from torch.utils.data import DataLoader , Dataset
import json
# from torchvision.io.image import decode_png, read_image
from torchvision.io import decode_png, read_image , ImageReadMode
import torchvision... | toinnn/Torax_Xray-Health-Care | DinoV2.py | DinoV2.py | py | 9,056 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torchvision.io.read_image",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.io.ImageReadMode.GRAY",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torchvision.io.ImageReadMode",
"line_number": 24,
"usage_type": "name"
... |
70143317307 | """
Iteratively reads all the tagged input_data sets corresponding to one particular politician.
Creates one clean and correctly tagged training and validation text file
as an input to the model fine tuning.
To be called like this:
python create_training_file.py <FULL_NAME_OF_POLITICIAN>
"""
import os
import sys
impo... | JokusPokus/TINART-finetuning | preprocessing/create_training_file.py | create_training_file.py | py | 5,556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.data.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.listdir",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
23595280071 | from typing import Tuple, get_type_hints
class a:
x: Tuple[int, int] = (5, 19)
clazz_dict = get_type_hints(a)
clazz = clazz_dict['x']
if clazz._name == 'Tuple':
print('a is a tuple, checked by name')
if hasattr(clazz, '__origin__') and clazz.__origin__ == tuple:
print('a is a tuple, checked by origin')... | songofhawk/simplerpa | test/test_for_typing/test_for_typing.py | test_for_typing.py | py | 321 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "typing.Tuple",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.get_type_hints",
"line_number": 8,
"usage_type": "call"
}
] |
30827920683 | #If you use only cpu throw error https://huggingface.co/tiiuae/falcon-40b/discussions/3
#you have to have enough ram and gpu to run this model
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
model = "tiiuae/falcon-7b"
tokenizer = AutoTokenizer.from_pretrained(model)
pipe... | ryuki8643/chainlit-huggingface-llm-demo-chat | models/tiiuae_falcon_7b.py | tiiuae_falcon_7b.py | py | 940 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "transformers.pipeline",
"line_number": 11,
"usage_type": "call"
}... |
73075061307 | # USAGE
# python opencv_inpainting.py --image examples/example01.png --mask examples/mask01.png
# import the necessary packages
import argparse
import cv2
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", type=str, required=True,
help="path input ... | frax0n/DIP | opencv_inpainting_enhancing.py | opencv_inpainting_enhancing.py | py | 2,262 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.INPAINT_TELEA",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "cv2.INPAINT_NS",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2... |
40668562124 | from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler, FileModifiedEvent, FileCreatedEvent
from lib.index import hash_file
from lib.anidb.endpoints import AuthRequest, LogoutRequest
from os.path import isfile
from threading import Timer
from time import time
from math import floor
... | prototo/animerenamerpythonappthreemillion | lib/watcher.py | watcher.py | py | 2,939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "watchdog.events.FileSystemEventHandler",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "watchdog.events.FileSystemEventHandler",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "math.floor",
"line_number": 24,
"usage_type": "call"
},
... |
12496630591 | # 60min 소요
from collections import deque
dr = [0, 1, 0, -1]
dc = [1, 0, -1, 0]
N, L, R = list(map(int, input().split()))
board = []
for _ in range(N):
board.append(list(map(int, input().split())))
now_update = True
now_update_count = -1
# 모든 국가에서 주변 방문 가능 국가 탐색 + 인구수 업데이트
while now_update == Tr... | devappendCBangJ/Algorithm_Python | 2_CodingTest/4_Simulation/Baekjoon_16234_인구 이동.py | Baekjoon_16234_인구 이동.py | py | 4,180 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 28,
"usage_type": "call"
}
] |
12962608419 | from __future__ import unicode_literals, absolute_import
from collections import defaultdict
from datetime import date
from django.db.models import Q, F, QuerySet
import pytest
from django.test import RequestFactory
from tri_declarative import class_shortcut
from tri_form import (
Form,
Field,
)
from tests.mo... | jlubcke/tri.query | tests/test_query.py | test_query.py | py | 18,315 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "tri_struct.Struct",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "tri_query.Query",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "tri_query.Variable",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tri_query.Variab... |
73727640508 | from scipy import sparse
from sklearn.utils.graph_shortest_path import graph_shortest_path
from sklearn.decomposition import PCA
from sklearn import preprocessing
from tqdm import tqdm
import pickle
import argparse
import time
import os
import csv
import json
import numpy as np
from scipy.sparse import coo_matrix
from ... | bowang-lab/gcn-drug-repurposing | method/make_data.py | make_data.py | py | 10,391 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "csv.reader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 4... |
31306966651 |
import cv2
import numpy as np
import pylab as pl
from PIL import Image
from PIL import ImageFilter
import os
import glob
import Features
# The input parameters are:
# HGamma: gamma value of Gabor filter
# HKernelSize: Kernel size of Gabor filter
# HSig: Sigma value of Gabor filter
# HWavelength: ... | gak97/multistream-audiovisual-speech-recognition | Gabor.py | Gabor.py | py | 2,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
28105912421 | # -*- coding: utf-8 -*-
"""
Created on Sun Jul 18 11:25:58 2021
@author: xiatong
"""
import json
import pandas as pd
import numpy as np
import joblib
import numpy as np
import json
import os
import librosa
import pandas as pd
from sklearn import metrics
from operator import itemgetter
from scipy.fftpack import fft,h... | AAAEEEE/covid19-sounds-neurips | Respiratory_prediction/data/pickle_data.py | pickle_data.py | py | 3,442 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "librosa.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "librosa.effects.trim",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "librosa.effects",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.max",
... |
36693987544 | #!/usr/bin/env python3
from bs4 import BeautifulSoup
import urllib.parse
import requests
import signal
import json
import time
import sys
cookies = {
'kktix_session_token_v2': ''
}
def getCSRFToken( event ):
url = f"https://kktix.com/events/{ event }/registrations/new"
print( f"-> { url }" )
r = reque... | d0gkiller87/OKTix | oktix.py | oktix.py | py | 2,570 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.parse.parse.quote",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.parse.... |
6593035544 | from pyspark.sql import SparkSession
from pyspark.sql.functions import udf
from pyspark.sql.types import IntegerType
from pyspark.ml.feature import Tokenizer, StopWordsRemover, StringIndexer
from pyspark.ml.feature import HashingTF, IDF
from pyspark.ml import Pipeline
from pyspark.ml.recommendation import ALS
from pysp... | AngelaMina/Proyecto-Grupal-Amazon | finall.py | finall.py | py | 3,608 | python | es | code | 1 | github-code | 6 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 18,
"usage_type"... |
31836638335 | import pymysql
class vuelosDb:
def __init__(self) -> None:
self.connection = pymysql.connect(
# si se ejecuta sin correr desde docker ya sea con nginx o con uvicorn el host es localhost o el ip de l servidor
#host con valor mysql solo funciona si se ejecuta desde el docker-compose up -d... | mfluevano/XDIGITAL | wraperAPI/app/database.py | database.py | py | 2,975 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 6,
"usage_type": "call"
}
] |
31267272941 | import bpy, os, getpass, math, mathutils, logging
from pprint import pprint
# When bpy is already in local, we know this is not the initial import...
if "bpy" in locals():
# ...so we need to reload our submodule(s) using importlib
import importlib
if "config" in locals():
importlib.reload(config)
... | OGRECave/blender2ogre | io_ogre/ui/importer.py | importer.py | py | 11,020 | python | en | code | 187 | github-code | 6 | [
{
"api_name": "importlib.reload",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger"... |
72531814269 | """alters product.login_settings
Revision ID: 10b293fdcd56
Revises: 69957302b7ee
Create Date: 2023-01-14 21:12:56.182870+00:00
"""
import json
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "10b293fdcd56"
down_revision = ... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/migration/versions/10b293fdcd56_alters_product_login_settings.py | 10b293fdcd56_alters_product_login_settings.py | py | 2,248 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "alembic.op.get_bind",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.DDL",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_... |
75093926586 | import requests
from datetime import datetime
import smtplib
import time
# Seattle latitude and longitude
MY_LAT = 47.606209
MY_LONG = -122.332069
# Email credentials
MY_EMAIL = "dimitriyk25@gmail.com"
MY_PASSWORD = "CLEARED"
# International Space Station API longitude/latitude data
response = requests.get(url="http... | deikaplan/100-Days-of-Code | Intermediate Projects/ISS Overhead Notification (API-Based)/main.py | main.py | py | 2,200 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
3755359880 | import neptune_py.skeleton.neptune_rpc.remote_call as remote_call
from neptune_py.skeleton.messager import NeptuneMessageType, NeptuneMessageTuple
from neptune_py.skeleton import utils
from neptune_py.common import EUniversalMessageField
import json
import logging
class NeptuneEntityBase:
def __init__(self, enti... | kstardust/neptune | neptune_py/skeleton/entity/entity.py | entity.py | py | 4,425 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "neptune_py.skeleton.neptune_rpc.remote_call.NeptuneNestedRpc",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "neptune_py.skeleton.neptune_rpc.remote_call",
"line_number": 1... |
37562010198 | import openpyxl
workbook = openpyxl.Workbook()
sheet = workbook.active
sheet["A1"] = "테스트파일"
sheet["A2"] = "hello openpyxl"
sheet.merge_cells("A1:C1")
sheet["A1"].font = openpyxl.styles.Font(size=20)
workbook.save("newExcelFile.xlsx") | yathoo88/BigdataStudy | scraping_crawling/excel-sample.py | excel-sample.py | py | 247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Font",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles",
"line_number": 9,
"usage_type": "attribute"
}
] |
2828057632 | from django.urls import path
from . import views
urlpatterns = [
path('', views.index, name='index'),
# search urls
path('rs/<str:rest>', views.restaurant_search, name='restaurant_search'),
path('ts/<str:tag>', views.tag_search, name='tag_search'),
# user modification
path('uc', views.user_... | arijitchabri/Food_Delivery | menu/urls.py | urls.py | py | 763 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
26471002941 | """ Problem 86: Cuboid Route
https://projecteuler.net/problem=86
Goal: Find the number of distinct cuboids (ignoring rotations) that can be formed
(with integer dimensions and shortest route with integer length) up to a maximum
size of MxMxM.
Constraints: A <= M && B <= M && C <= M
1 <= M <= 4e5
This i... | bog-walk/project-euler-python | solution/batch8/problem86.py | problem86.py | py | 4,828 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "util.maths.reusable.pythagorean_triplet",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "util.maths.reusable.pythagorean_triplet",
"line_number": 109,
"usage_type": "call"
},
{
"api_name": "itertools.accumulate",
"line_number": 122,
"usage_type":... |
18795833137 | import argparse
import docker
import gzip
import os
import yaml
from nested_lookup import nested_lookup
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Save Docker images")
parser.add_argument("--manifest",
required=True,
help=... | milvus-io/milvus | deployments/offline/save_image.py | save_image.py | py | 1,614 | python | en | code | 24,190 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "nested_lookup.nested_lookup",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os... |
2274364242 | import numpy as np
import cv2
from PIL import Image, ImageEnhance
import sys
import scipy
from scipy.spatial.distance import euclidean
from scipy.spatial.distance import cosine
from scipy import ndimage
import math
from matplotlib import pyplot as plt
import glob
import pickle
import os
class RGBHistog... | sarthikadhawan/Traffic-Sign-Recognition | Demo/cbir_histograms.py | cbir_histograms.py | py | 3,631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.cvtColor",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv2.calcHist",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.normalize",
... |
25925298892 | import time
from selenium.common import NoSuchElementException, StaleElementReferenceException, ElementNotInteractableException
from DepartmentManagement import DepartmentManagement
from Log_Update import test_update
from Click_Handling import Erorr_Handling
from PermissionManagement import PermissionManagement
from U... | ahmadfadily/FinalProject_Selenium_Test | ControlPanel.py | ControlPanel.py | py | 1,446 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Click_Handling.Erorr_Handling",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Log_Update.test_update",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Log_U... |
37431905658 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
name: 实易DNS管理系统文件包含至远程代码执行
referer: http://www.wooyun.org/bugs/wooyun-2015-0122543
author: Lucifer
description: 实易智能DNS管理系统，php CGI远程代码执行,文件包含。
'''
import sys
import requests
class forease_fileinclude_code_exec_BaseVerify():
def __init__(self, url):
self.... | iceyhexman/onlinetools | scanner/plugins/system/others/forease_fileinclude_code_exec.py | forease_fileinclude_code_exec.py | py | 1,201 | python | en | code | 1,626 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 35,
"usage_type": "attribute"
}
] |
25502928494 | from load_session import load_session
from bill_object import Bill
from flask import Response, redirect, session, Flask
from flask_session import Session
from dotenv import load_dotenv
import os
load_dotenv()
secret_key = os.environ["SECRET_KEY"]
def download_item(id):
app = Flask(__name__)
app.config["SESSI... | RyanWhitemore/billing_code | download_item.py | download_item.py | py | 1,915 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_session.Session",
... |
16710300284 | import numpy as np
from scipy.signal import find_peaks
from scipy.integrate import trapezoid
import time
from multiprocessing import Pool, cpu_count
import multiprocessing
import multiprocessing.pool
from tqdm import tqdm
import sys
sys.path.insert(0, 'TPC-utils')
from tpc_utils import search_high_res
from ..hdf.TPCH5_... | turinath/Spyral | pcutils/phases/Phase1.py | Phase1.py | py | 7,275 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Process",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "multiproce... |
70879513148 | import pytest
import aoc_cj.aoc2016.day07 as d
@pytest.mark.parametrize(
"input, expected",
[
("abba[mnop]qrst", True),
("abcd[bddb]xyyx", False),
("aaaa[qwer]tyui", False),
("ioxxoj[asdfgh]zxcvbn", True),
],
)
def test_supports_tls(input, expected):
assert d.supports_... | cj81499/advent-of-code | tests/aoc2016/y2016d07_test.py | y2016d07_test.py | py | 621 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "aoc_cj.aoc2016.day07.supports_tls",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aoc_cj.aoc2016.day07",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
10225988030 | import torch
from torch.nn.parameter import Parameter
import numpy as np
from torch.distributions.multivariate_normal import MultivariateNormal
from torch.distributions.normal import Normal
import pickle
import copy
import math
import matplotlib
import matplotlib.pyplot as plt
class GPR(torch.nn.Module):
"""
... | easonwang717/FedCor_prof | src/GPR.py | GPR.py | py | 22,096 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.parameter.Parameter",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.zeros",... |
26277277210 | import json
import logging
import os
import os.path as op
import shutil
import subprocess
from Bio import AlignIO, SeqIO
from Bio.PDB import PDBIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from elaspic.kmtools_legacy import switch_paths
from . import (
call_foldx,
call_modeller,
call_tc... | elaspic/elaspic | elaspic/elaspic_model.py | elaspic_model.py | py | 33,623 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "os.path.splitext",
"l... |
610045140 | import requests
from datetime import datetime
import smtplib
import time
MY_LAT = 28
MY_LONG = 50
def is_iss_overhead():
response_ISS = requests.get(url="http://api.open-notify.org/iss-now.json")
response_ISS.raise_for_status()
longitude_ISS = float(response_ISS.json()["iss_position"]["longitude"])
... | Carloslb17/100-Days-of-Python---Angela | Day 33/ISS.py | ISS.py | py | 1,557 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
30479119190 | from distutils.core import setup
from setuptools import setup,setuptools
import os
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) as readme_file:
readme = readme_file.read()
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
name='django-picsum',
versi... | VarthanV/django-picsum | setup.py | setup.py | py | 1,397 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": ... |
18390509321 | #!/usr/bin/python
# coding: utf-8
import scrapy
class IMDBInfoSpider(scrapy.Spider):
name = "imdb_info"
custom_settings = {'DEFAULT_REQUEST_HEADERS': {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'fr'}}
#def make_requests_from_url(self, url):
# ... | ria4/tln | util/old/crawlers/imdb/imdb_spider.py | imdb_spider.py | py | 1,708 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 20,
"usage_type": "call"
}
] |
21314542055 | import snowflake.connector
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptography.hazmat.primitives.asymmetric import dsa
from cryptography.hazmat.primitives import serialization
import pandas as pd
import os
from io import StringIO
import b... | xiongye77/aws_sysops_tasks | snowflake.py | snowflake.py | py | 1,937 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "boto3.session.Session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.session",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cryptography.hazmat.primitives.serialization.load_pem_private_key",
"line_number": 23,
"usage_ty... |
23711977611 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('products', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='product',
name='descri... | boiyelove/caremedics | products/migrations/0002_auto_20150914_0513.py | 0002_auto_20150914_0513.py | py | 1,401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
37379644266 | import torch
import torch.nn as nn
import torch.nn.functional as F
num_classes = 21
def conv1x1(in_planes, out_planes, stride=1, bias=False):
"1x1 convolution"
return nn.Conv2d(
in_planes, out_planes, kernel_size=1, stride=stride, padding=0, bias=bias
)
class CRPBlock(nn.Module):
def __init__... | faye0078/RS-ImgShp2Dataset | train_example/model/Fast_NAS/train/train/model_lw_v2.py | model_lw_v2.py | py | 7,119 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn.Conv2d",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_numb... |
3626533135 | import numpy as np
import matplotlib.pyplot as plt
dt = 0.5
dx = 1.
u = 1.
max_x = 100.
nt = 2000
x = np.arange(0.,max_x+dx,dx)
print(x)
print("Courant Number:", u*dt/dx)
f = np.copy(x)
f[:] = 0.
f[(x>=40.)&(x<=60.)] = 1.
#initial distribution of f
#plt.plot(x,f)
#plt.show()
g = (f-np.roll(f,1,axis=0))/dx
if(u>=0... | teeyingyap/partial-differential-eq | problem3/cipcode.py | cipcode.py | py | 939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.copy",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.clf",
"line_n... |
36294818380 | import numpy as np
from statsmodels.tsa.stattools import adfuller
# TODO: Add type hinting
def gsadf(m:int, t:int, adflag:int=0, mflag:str="c"):
qe = [0.9, 0.95, 0.99]
r0 = 0.01 + 1.8 / np.sqrt(t)
swindow0 = np.floor(r0 * t)
dim = t - swindow0 + 1
y = dgp(t, m)
gsadf_vals = np.ones((m, 1))
... | mfjackson/multibubs | multibubs/stats.py | stats.py | py | 3,717 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
... |
13812707669 | import os
import urllib
from google.appengine.api import users
from google.appengine.ext import ndb
import jinja2
import webapp2
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
autoescape=True)
PROJECT_DIR = os.path... | ShyAlon/RiskHedger | guestbook.py | guestbook.py | py | 1,723 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "jinja2.Environment",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
36091610471 | from copy import deepcopy
from math import sqrt
from torch import Tensor
from torch.nn.modules import *
from .base import Rotatable
from functions import GroupLinearFunction, SequentialLinearFunction
class SemisyncLinear(Linear, Rotatable):
def __init__(self, linear: Linear, group_list: list = None):... | ryhoh/torch_async | layers/static.py | static.py | py | 3,039 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "base.Rotatable",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_numb... |
1787307500 | # -*- coding: utf-8 -*-
"""
Created on Thu May 2 12:26:30 2019
@author: Guinex
"""
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.properties import NumericProperty, ReferenceListProperty,\
ObjectProperty, StringProperty
from kivy.vector import Vector
from kivy.clock import Clock
from kivy.... | guinex/FirePong | pong.py | pong.py | py | 6,330 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "kivy.uix.widget.Widget",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "kivy.properties.NumericProperty",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "kivy.vector.Vector",
"line_number": 36,
"usage_type": "call"
},
{
"api_nam... |
10936941582 | import datetime
palavra = 'escola'
frase = 'Escola do Futuro Luiz Rassi'
caractere = "F"
#print(type(caractere))
#concatenação de strings (string interpolation)
#f-strings
nome = 'Thalles'
titulo = 'professor'
print(f'Olá, {titulo} {nome}.')
a = 5
b = 3
print(f'A soma de {a} com {b} é igual a {a + b}.')
#%-formatt... | thallesbruno/logica-de-programacao | tipos_basicos/strings.py | strings.py | py | 578 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
}
] |
33584425555 | from datetime import datetime
from fastapi_users_db_sqlalchemy import SQLAlchemyBaseUserTable
from sqlalchemy import MetaData, Column, Integer, String, TIMESTAMP, ForeignKey, Boolean
from src.database import Base
metadata = MetaData()
class Client(SQLAlchemyBaseUserTable[int], Base):
__tablename__ = "client"
... | verondel/fast_chat | src/models.py | models.py | py | 2,525 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi_users_db_sqlalchemy.SQLAlchemyBaseUserTable",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.database.Base",
"line_number": 9,
"usage_type": "name"
},
{... |
17882906317 | import traceback
from typing import Tuple
import click
from demisto_sdk.commands.format.format_constants import (ERROR_RETURN_CODE,
SKIP_RETURN_CODE,
SUCCESS_RETURN_CODE)
from demisto_sdk.commands.forma... | AdouniH/demisto-sdk | demisto_sdk/commands/format/update_pre_process_rules.py | update_pre_process_rules.py | py | 2,396 | python | en | code | null | github-code | 6 | [
{
"api_name": "demisto_sdk.commands.format.update_generic_json.BaseUpdateJSON",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "demisto_sdk.commands.format.format_constants.SKIP_RETURN_CODE",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"... |
40945225891 | from io import StringIO
import json
import pytest
import import_organizations
@pytest.fixture()
def organizations():
return [
{
"organization_key": "ff3959a49ac10fc70181bc00e308fbeb",
"organization_name": "Super Mario",
"created_at": "2018-01-24 17:28:09.000000",
... | a-grever/coding-challenge-20210403 | warehouse/tests/test_import_organizations.py | test_import_organizations.py | py | 1,930 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "import_organizations.get_organiz... |
10764762863 | from dataclasses import dataclass
from datetime import timedelta
import os
import pandas as pd
import unicodedata
import codecs
from io import StringIO
from enum import Enum
import logging
import re
log = logging.getLogger(__name__)
@dataclass
class CsvCol:
index: int
name: str
class SourceType(Enum):
... | pawelciurka/money-insights | project/parsers.py | parsers.py | py | 9,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dataclasses.datacla... |
26040581416 | from __future__ import annotations
import os
from dataclasses import dataclass
from typing import Iterable
from pants.backend.kotlin.subsystems.kotlin import KotlinSubsystem
from pants.backend.kotlin.target_types import (
KotlinJunitTestsGeneratorSourcesField,
KotlinJunitTestsGeneratorTarget,
KotlinSource... | pantsbuild/pants | src/python/pants/backend/kotlin/goals/tailor.py | tailor.py | py | 2,734 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.core.goals.tailor.PutativeTargetsRequest",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 34,
"usage_type": "name"
},
{
... |
72437271549 | from flask import g, request
import sqlite3
import datetime
DB_PATH = "ndio.db"
def get_db():
try:
conn = sqlite3.connect(DB_PATH)
return conn
except Exception as e:
print("Could not connect to the database. Error: ", e)
return None
def _do_query(query:str, args = (), one=Fal... | nvplus/ndio | webserver/flask-backend/ndb.py | ndb.py | py | 2,758 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.g.db.execute",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.g.db",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line... |
6398844401 | #%%
from datetime import timedelta
from os.path import basename, join
from re import findall
from time import time
import numpy as np
from joblib import dump, load
from skimage.exposure import rescale_intensity
from skimage.io import imread_collection
from skimage.util import img_as_bool
from sklearn.base import BaseE... | dunnkers/bsc-thesis | src/transform.py | transform.py | py | 10,894 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "constants.N_FOLDS",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "constants.FEATURE_VECTOR",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 28,
"usage_type": "name"
},
{
"api... |
35836966928 | #!/usr/bin/env python3
# -*- encoding:utf-8 -*-
# @Author : Haoran Pan
# Date: 2022/03/07
from datetime import datetime
__author__ = ("Haoran Pan")
__copyright__ = "Copyright (c) 2019-{}, Haoran Pan".format(datetime.now().year)
__email__ = "haoranpan@foxmail.com"
__license__ = "BSD"
__status__ = "Developm... | valderpan/PYHR | __init__.py | __init__.py | py | 348 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
}
] |
72939128188 | import numpy as np
from scipy.special import logit, expit
from scipy.optimize import minimize
from .helpers import truncate_by_g, mse, cross_entropy, truncate_all_by_g
from .att import att_estimates
def _perturbed_model_bin_outcome(q_t0, q_t1, g, t, eps):
"""
Helper for psi_tmle_bin_outcome
Returns q_\e... | claudiashi57/dragonnet | src/semi_parametric_estimation/ate.py | ate.py | py | 3,726 | python | en | code | 207 | github-code | 6 | [
{
"api_name": "scipy.special.logit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.special.expit",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "helpers.truncate_all_by_g",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sci... |
13231258792 | """
@Author : Hirsi
@ Time : 2020/7/2
"""
"""
1.导入模块
2.通过模块提供的Process类创建进程对象
3.启动进程
"""
import multiprocessing
import time
def work():
for i in range(5):
print('正在运行work...',i)
time.sleep(0.5)
if __name__ == '__main__':
p1 = multiprocessing.Process(target=work)
p1.start()
print('xxx... | gitHirsi/PythonNotes02 | day07-多任务-进程/01-进程的基本使用.py | 01-进程的基本使用.py | py | 375 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 20,
"usage_type": "call"
}
] |
30984215070 | import random
from utils import get_resource_ids, get_available_resources, get_activities_for_resource
from resource import Resource
class GreedyAllocator:
resources = {}
workload = 1
def __init__(self, workload):
self.workload = workload
return
def fit(self, data, salary):
... | brrrachel/MLinBPM | code/allocator/greedy.py | greedy.py | py | 1,849 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "utils.get_resource_ids",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.get_activities_for_resource",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "resource.Resource",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
22949938203 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# rfclass.py - Waqas Bhatti (wbhatti@astro.princeton.edu) - Dec 2017
# License: MIT. See the LICENSE file for more details.
'''Does variable classification using random forests. Two types of
classification are supported:
- Variable classification using non-periodic featu... | waqasbhatti/astrobase | astrobase/varclass/rfclass.py | rfclass.py | py | 23,036 | python | en | code | 50 | github-code | 6 | [
{
"api_name": "logging.DEBUG",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logging.basicC... |
35126893080 | from datetime import date
"""
Esta tarea esta diseñada para poner a prueba los conocimientos
adquiridos en la primera clase de la Certificacion de Python
Son 6 ejercicios, resuelvalos en un solo archivo
:: Debera separarlos por comentarios e impresiones ::
>Puede reutilizar los valores de las variables< :D
"""
#Ejerci... | LRFranco21/prueba-de-git1 | Clase 1 - 10.Sept - Tarea.py | Clase 1 - 10.Sept - Tarea.py | py | 3,048 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "datetime.date",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 82,
"usage_type": "name"
}
] |
40893470335 | #Nome: Leonardo Rodrigues Ribeiro
#RA: 0040972123041
'''
Um matemático está precisando de um programa que calcule a SEQUÊNCIA DE FIBONACCI.
SEQUÊNCIA DE FIBONACCI é uma sucessão de números que, misteriosamente, aparece em muitos fenômenos da
natureza. Descrita no final do século 12 pelo italiano Leonardo Fibonacci,... | LeoNardoRR/studying_repository | Python/Fibonacci/Fibonacci.py | Fibonacci.py | py | 2,394 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 61,
"usage_type": "call"
}
] |
35616214837 | # https://adventofcode.com/2020/day/21
from collections import defaultdict, Counter
from functools import reduce
def read(source):
for _ in open(source):
ingredients, _, allergens = _[:-2].partition(" (contains ")
yield set(ingredients.split()), set(allergens.split(", "))
def solve(source):
... | P403n1x87/aoc | 2020/21/code.py | code.py | py | 1,267 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "functool... |
13321465244 | from airflow.models import Variable
from airflow.hooks.postgres_hook import PostgresHook
import requests
def remove_deleted_tags(ds, *args, **kwargs):
if "client" not in kwargs or kwargs["client"] is None:
raise Exception("You must configure a client for this operator")
headers = {"Authorization-Toke... | CrossingsCommunityChurch/apollos-shovel | dags/rock/rock_deleted_tags.py | rock_deleted_tags.py | py | 2,705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "airflow.models.Variable.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "airflow.models.Variable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 13,
"usage_type": "call"
... |
7146667131 | # -*- coding: utf-8 -*-
"""
Created on Fri Jun 24 15:28:18 2016
@author: aurelia
"""
import tensorflow as tf
import numpy as np
from tensorflow.python.ops.rnn import dynamic_rnn
import tensorflow.contrib.slim as slim
import copy
from scipy.ndimage.interpolation import shift
from tensorflow.python.ops.rnn_cell import ... | aureliale/BONN-model | policies/bonn_policy.py | bonn_policy.py | py | 17,114 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "tensorflow.python.ops.rnn_cell.RNNCell",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tensorflow.nn",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.variable_scope",
"line_number": 45,
"usage_type": "call"
},
{
... |
14702968477 | import re
from datetime import datetime, timedelta
from parser import ParserError
from city_scrapers_core.constants import BOARD, COMMITTEE
from city_scrapers_core.spiders import CityScrapersSpider
from dateutil.parser import parse
from city_scrapers.items import Meeting
class CaHighspeedRailSpider(CityScrapersSpid... | washabstract/city-scrapers-ca | city_scrapers/spiders/ca_highspeed_rail.py | ca_highspeed_rail.py | py | 4,728 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "city_scrapers_core.spiders.CityScrapersSpider",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "name"
},
{
... |
25972392613 | #!/usr/bin/env python3
"""%(prog)s [OPTIONS] COLUMN [COLUMNS] [FILES]
Extract the specified columns from FILES or stdin.
Column numbering starts at 1, not 0; column 0 is the entire line, just like awk.
Column numbers that are out of bounds are silently ignored. When each line is
split, empty leading or trailing colu... | tobinjt/bin | python/colx.py | colx.py | py | 5,993 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 45,
"usage_type": "attribute"
},
{
"api... |
529608651 | from zope import interface
from zope.component import getUtility
from zope.proxy import removeAllProxies
from zope.traversing.api import getParents
from zope.app.intid.interfaces import IIntIds
from zc.catalog.index import SetIndex, parseQuery
from interfaces import IPathIndex
class PathIndex(SetIndex):
interfac... | Zojax/zojax.pathindex | src/zojax/pathindex/index.py | index.py | py | 1,807 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "zc.catalog.index.SetIndex",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "zope.interface.implements",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "interfaces.IPathIndex",
"line_number": 12,
"usage_type": "argument"
},
{
"api... |
43050449408 | from scipy.stats import bernoulli
from actionManagement import StandardActionManagement
from components import ComputationState, LearningStage, ReceiverAction, ReceiverState, RewardsInEpisode, SenderAction, SenderState, Settings, Movement
from Walls import getMyWalls, choosePrizeLocation, isItInTheWalls
from gridUI imp... | dgwarlug47/Treasure-Hunt | trainTest.py | trainTest.py | py | 6,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Walls.getMyWalls",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Walls.choosePrizeLocation",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "components.ReceiverAction",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "co... |
19501433632 | """
This file (test_video.py) contains unit tests for the video.py file.
"""
from pathlib import Path
import os
import warnings
import numpy as np
from youbit.video import VideoEncoder, VideoDecoder
from youbit.settings import Settings
from youbit.types import ndarr_1d_uint8
from youbit import util
TEST_VIDEO_ENCOD... | mevimo/youbit | tests/unit/test_video.py | test_video.py | py | 1,297 | python | en | code | 651 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "youbit.types.ndarr_1d_uint8",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "youbit.video.VideoEncoder",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "yo... |
25993210589 | __copyright__ = "Copyright 2016, Netflix, Inc."
__license__ = "LGPL Version 3"
import os
import unittest
import config
from routine import train_test_on_dataset
from tools.misc import import_python_file
class TestTrainOnDataset(unittest.TestCase):
def setUp(self):
self.train_dataset = import_python_fil... | henrylee18/vmaf | python/test/routine_test.py | routine_test.py | py | 1,881 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tools.misc.import_python_file",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.ROOT",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": ... |
6100518065 | import boto3
import requests
import time
def create_input_s3_presigned_url(aws_key = '', aws_secret = '', bucket_name = '', input_file = ''):
# Instantiate Boto Client
s3_client = boto3.client('s3',
aws_access_key_id = aws_key,
aws_secret_access_key = ... | codylocks/dolpy | dolpy.py | dolpy.py | py | 7,762 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_numbe... |
17189518398 | import torch.nn as nn
class SimpleCNN(nn.Module):
def __init__(self, num_classes=7):
super(SimpleCNN, self).__init__()
self.conv1 = nn.Conv2d(3, 16, kernel_size=3, padding=1) # Change the input channels from 1 to 3
self.conv2 = nn.Conv2d(16, 32, kernel_size=3, padding=1)
self.conv... | ml19z5s/FER2013 | models/SimpleCNN.py | SimpleCNN.py | py | 987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
69821032829 |
from django.urls import path
from . import views
urlpatterns = [
# RENDER URLS
path("", views.index, name="index"),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path("register", views.register, name="register"),
path("new_idea", views.new_id... | XpTo2k/bright-network | network/urls.py | urls.py | py | 692 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
74805771708 | """APP
Module with all the available endpoints and the FastAPI initialization.
"""
# # Native # #
from typing import Optional, Set
# # Installed # #
import uvicorn
from fastapi import FastAPI, Response, Query, HTTPException
# # Project # #
from vigobusapi.entities import Stop, Stops, BusesResponse
from vigobusapi.re... | David-Lor/VigoBusAPI | vigobusapi/app.py | app.py | py | 3,089 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vigobusapi.settings.settings.api_name",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "vigobusapi.settings.settings",
"line_number": 23,
"usage_type": "name"
},
... |
42641542575 | import os
import sys
import logging
import argparse
import subprocess
import pkg_resources
import timeout_decorator
from os.path import join, exists, basename
@timeout_decorator.timeout(20)
def try_entry_cmd(entry_cmd, cwd=None):
logging.warning("calling the entry script: %s", entry_cmd)
# execute the comma... | osssanitizer/maloss | src/pm_proxy/scripts/main.py | main.py | py | 4,916 | python | en | code | 98 | github-code | 6 | [
{
"api_name": "logging.warning",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line... |
36040435906 | import logging
import re
import sys
import typing
from ParadoxTrading.Engine import ActionType, DirectionType, FillEvent, \
OrderEvent, OrderType, PortfolioAbstract, SignalEvent, SignalType
from ParadoxTrading.EngineExt.Futures.PointValue import POINT_VALUE
from ParadoxTrading.Fetch import FetchAbstract
from Parad... | ppaanngggg/ParadoxTrading | ParadoxTrading/EngineExt/Futures/TickPortfolio.py | TickPortfolio.py | py | 4,740 | python | en | code | 51 | github-code | 6 | [
{
"api_name": "ParadoxTrading.Engine.PortfolioAbstract",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "ParadoxTrading.Fetch.FetchAbstract",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 27,
"usage_type": "attribute"
}... |
26088089514 | import numpy as np
import matplotlib.pyplot as plt
import nengo
"""
This example demonstrates how to create a neuronal ensemble
that represents a two-dimensional signal.
Network diagram:
[Input] ---> (Neurons)
Network behaviour:
Neurons = Input
"""
model = nengo.Model('2D Representation')
model.make_node... | jaberg/nengo | examples/2drepresentation.py | 2drepresentation.py | py | 987 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nengo.Model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "numpy.cos",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "nengo.LIF",
"line_numbe... |
28729408696 | import time
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.callbacks import History, ModelCheckpoint, Callback
import numpy as np
import matplotlib.p... | chasingbob/character-vision | cnn_train.py | cnn_train.py | py | 4,045 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.models.Sequential",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "keras.layers.Activation",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
6455520010 | """JSON parser for Stats Perform MA1 feeds."""
from typing import Any, Dict
import unidecode # type: ignore
from ...base import MissingDataError
from .base import OptaJSONParser, assertget
class MA1JSONParser(OptaJSONParser):
"""Extract data from a Stats Perform MA1 data stream.
Parameters
----------
... | Unaimd/socceraction | socceraction/data/opta/parsers/ma1_json.py | ma1_json.py | py | 3,544 | python | en | code | null | github-code | 6 | [
{
"api_name": "base.OptaJSONParser",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "base.MissingDataError",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Any",
... |
14851959621 | from collections import namedtuple
import fileinput
import torch
from fairseq import checkpoint_utils, options, tasks, utils
from fairseq.data import encoders
import sys, os, random
import cgi, ssl, json, urllib
from http.server import HTTPServer, BaseHTTPRequestHandler
import numpy as np
from pprint import pprint
... | jack-and-rozz/speculative_sampling | fairseq/demo.py | demo.py | py | 11,972 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
... |
40667994422 | import os
import sys
import h5py
import math
import yaml
import copy
import numpy as np
from docopt import docopt
from sprocket.model.f0statistics import F0statistics
from utils.utils import write_hdf5, check_hdf5, read_hdf5, read_txt
from utils.param_feat import acoustic_parameter
from utils.multi_process... | bigpon/QPNet | src/runFE.py | runFE.py | py | 6,082 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "docopt.docopt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "utils.param_path.SRC_DIR",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "utils.param_fe... |
5446630124 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 7 09:40:20 2016
@author: Zhi Chen
Here we present a L-convolutional/pooling layer CNN model,
i.e., trying to catpture the distinct features of the original images for detection,
where again no ML libary is utilised for better understanding the whole procedure.... | chenzhi2223/machine-learning-and-intelligent-applications | cnn_from_scratch.py | cnn_from_scratch.py | py | 66,980 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "skcuda.linalg.init",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skcuda.linalg",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "six.moves.cPickle.load",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "six.moves.cPi... |
28555726150 | #!/usr/bin/env/python3
"""
Author: Robert van der Klis
Student number: 1003241
Script to do pathway enrichment analysis on Arabidopsis Thaliana
Usage: python3 pathway_enrichment.py aracyc_pathways sample_list
aracyc_pathways: tsv file of aracyc arabidopsis pathways with genes
sample_list: txt file of all .tsv files wit... | Anna-MarieSeelen/Advanced_Bioinformatics_project | python/pathway_enrichment.py | pathway_enrichment.py | py | 7,328 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scipy.stats.fisher_exact",
"line_number": 123,
"usage_type": "call"
},
{
"api_name": "scipy.stats",
"line_number": 123,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 141,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line... |
15198929275 | import pickle
from warnings import catch_warnings
import numpy as np
from flask import Flask, redirect, render_template, request, jsonify, flash
app = Flask(__name__)
@app.route('/')
def index():
return render_template('home.html')
@app.route('/predict', methods=['GET', 'POST'])
def predictor():
model = ... | MayurPimpude/Loan-prediction | app.py | app.py | py | 1,716 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
71133294907 | import sqlite3
import os
from torch.utils.data import Dataset
from PIL import Image
from io import BytesIO
class SQLDataset(Dataset):
def __init__(self, db_path, table_name, task_name, train_val=True, transform=None):
super().__init__()
self.db_path = db_path
self.table_name = table_name
... | WooDwayToneTion/cl_competition | load_data.py | load_data.py | py | 3,747 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"li... |
1165374122 | import secrets
import json
import subprocess
import os
from pathlib import Path
from hcs_2.provision_hcs_priv import InProvisionerPriv2, ProvisionerPriv2
from hcs_2.provision_hcs_pub import InProvisionerPub2, ProvisionerPub2
# VARIABLES
folder_hcs_sys_platform = "hcs-sys-platform"
vpn_secret_data_file = "secret.json"
... | leonardpahlke/hcs-direct-connect | provision_hcs_2.py | provision_hcs_2.py | py | 4,597 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "secrets.token_urlsafe",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_nu... |
24124413785 | #!/usr/bin/env python3
import functools
from select import select
import pyudev
import requests
from evdev import InputDevice, categorize, ecodes
# Replace with your BarcodeBuddy URL
SERVER_ADDRESS = 'http://10.0.20.2/barcodebuddy/api/'
# Replace with your Barcode Buddy API key
API_KEY = 'MyApiKey'
# Replace with an... | Forceu/barcodebuddy | example/grabInput_variant3.py | grabInput_variant3.py | py | 3,770 | python | en | code | 358 | github-code | 6 | [
{
"api_name": "pyudev.Context",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyudev.Monitor.from_netlink",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyudev.Monitor",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "evdev.... |
7606767381 | from collections import defaultdict
from email.mime.multipart import MIMEMultipart
import email.mime.text
from email.mime.image import MIMEImage
from pathlib import Path
import jinja2
from .. import chart
class Email(MIMEMultipart):
def __init__(self, name, context):
super().__init__('related')
... | thomasleese/gantt-charts | ganttcharts/emails/emails.py | emails.py | py | 2,902 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "email.mime.image.MIMEImage",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
18296859706 | # Importing stock ml libraries
import warnings
warnings.simplefilter('ignore')
import numpy as np
import pandas as pd
from tqdm import tqdm
from sklearn import metrics
import transformers
import torch
from torch.utils.data import Dataset, DataLoader, RandomSampler, SequentialSampler
from transformers import DistilBertT... | drndr/multilabel-text-clf | Transformers/distilbert_model_multi_label.py | distilbert_model_multi_label.py | py | 9,617 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "warnings.simplefilter",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.enviro... |
20921290836 | import numpy as np
import matplotlib.pyplot as plt
from objective_functions.flat_clustering import modularity
from clustering_algorithms.louvain import louvain
from clustering_algorithms.paris import paris
def resolution_n_clusters(G, k=40, n_tests=100, file_name =""):
# Paris
D = paris(G)
resolutions_pari... | sharpenb/Multi-Scale-Modularity-Graph-Clustering | Scripts/experiments/resolution_analysis.py | resolution_analysis.py | py | 2,868 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "clustering_algorithms.paris.paris",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_n... |
32820621511 | import json
import time
from operation.operation import top
class Statistic:
def __init__(self, stats):
self.time_stats = time.strftime("%I:%M:%S %p", time.localtime())
self.interfaces_stats = stats['if']
self.disks_stats = stats['disk']
self.processes_stats = stats['process']
... | malveillantspathologiques/snmp_monitoring | domain/Statistic.py | Statistic.py | py | 711 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.strftime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "operation.operation.top",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
13538932966 | import numpy as np
import random
from itertools import compress
from sklearn.preprocessing import normalize
from sklearn.metrics.pairwise import euclidean_distances
def normalise_vector(vector):
if np.isnan(vector).any():
return np.array((0, 0))
else:
return normalize(vector.reshape(1, -1))[0]... | SimonCarryer/video_game_ai | util/helpers.py | helpers.py | py | 9,158 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "numpy.isnan",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.normalize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.n... |
18670358089 | import cv2
img = cv2.imread('Lenna_(test_image).png')
text = 'open Cv'
org = (150, 150)
fontFace = cv2.FONT_HERSHEY_COMPLEX
fontScale = 2
color = (0, 255, 0)
thickness = 3
cv2.putText(img, text, org, fontFace, fontScale, color, thickness)
cv2.imshow('text', img)
cv2.waitKey()
cv2.destroyAllWindows()
| mir-iam/cv_practicals | lab5/draw_text_on_an_image.py | draw_text_on_an_image.py | py | 301 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "cv2.FONT_HERSHEY_COMPLEX",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.putText",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"l... |
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