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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37013423876 | #!/usr/bin/python3
"""View for Users"""
from api.v1.views import app_views
from models import storage
from flask import jsonify
from models.user import User
from flask import abort
from flask import make_response
from flask import request
@app_views.route('/users', strict_slashes=False, methods=['GET'])
def all_users... | kreywilo42/AirBnB_clone_V3 | api/v1/views/users.py | users.py | py | 2,635 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.storage.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.user.User",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "models.storage",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.jsonify"... |
20000583359 | __author__ = "David Moeljadi <davidmoeljadi@gmail.com>"
__copyright__ = "Copyright 2016, barasa"
__credits__ = [ "David Moeljadi" ]
__license__ = "MIT"
__version__ = "0.1"
__maintainer__ = "David Moeljadi"
__email__ = "<davidmoeljadi@gmail.com>"
__status__ = "Prototype"
################################################... | neocl/barasa | setup.py | setup.py | py | 1,878 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_numb... |
6564883570 | from PIL import Image
from pathlib import Path
import matplotlib.pyplot as plt
import numpy as np
import torch
import torchvision.transforms as T
class AddGaussianNoise(object):
# Custom class to add gaussian noise to input images as data augmentation
def __init__(self, mean=0., std=1.):
self.std = st... | lolzballs/mie429 | training/transform_illustration_test_script.py | transform_illustration_test_script.py | py | 3,365 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.randn",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.functional.adjust_contrast",
"line_number": 26,
"usage_type": "call"
},
{
"api_nam... |
70466906921 | import matplotlib.pyplot as plt
import numpy as np
import os
ErrorPermit = 1
MinimumSize = 4
class Tree(object):
def __init__(self, separate_data=0, estimate_data=0, num=0,dl=0, dr=0):
self.val = separate_data
self.estimate = estimate_data
self.leftChild = None
self.rightChild = Non... | HawkTom/Basic-Machine-Learning-Algroithms | DecisionTree/RegressionTree.py | RegressionTree.py | py | 5,356 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 125,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 125,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "numpy.array... |
29895699945 | from flask import Flask, redirect, send_file, request, jsonify
from models import InstallID
import requests
import boto3
import random
import string
import botocore
# Imports go here.
app = Flask(__name__)
# Defines the app.
@app.route("/")
def go_to_website():
"""Returns to magiccap.me"""
return redirect("h... | MagicCap/i.magiccap | main.py | main.py | py | 2,580 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask.request.headers",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "flask.request",... |
23906417629 | from asyncio import gather, run, sleep
from db import DB_CON, load_depth, load_tas
from json import dumps, loads
from os import walk
from parsers import parse_depth, parse_depth_header, parse_tas, parse_tas_header, transform_tas, transform_depth
from re import match
from sys i... | toobrien/tick_db | etl.py | etl.py | py | 4,097 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "parsers.parse_tas_header",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "parsers.parse_tas",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "parsers.transfo... |
26556242648 | from datetime import datetime
from PyQt5.QtWidgets import QLabel
from tinydb import TinyDB, Query
import app.LineMonitoring.app_provider.api.LastLog as LastLog
from core.config.Config import sensor_db_path, time_format, sensor_table_name
from core.model.DataType import sensor_new_log_data, sensor_activity_data... | siavashvampire/python | app/LineMonitoring/model/Sensor.py | Sensor.py | py | 7,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.LineMonitoring.app_provider.api.LastLog",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "core.model.DataType.sensor_new_log_data",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "core.model.DataType.sensor_activity_data",
"line_number":... |
16129086939 | import tweepy
# --------------------------------------------------------BUSHFRIES----------------------------------------------------
try:
get_consumer_key = 'lZKHiGxzaac9eApuedZ8FuBlR'
get_consumer_secret = 'QBo2RJob1Jz9QUg67S47cGPg3enQRwnQHii1r9Al1ikDxcQLG5'
get_access_token = '834452681355882496-a... | coolcodehere/CoolBot | APIAccess.py | APIAccess.py | py | 1,486 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tweepy.error",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tweepy.OAuthHandler"... |
13404845936 | # -*- coding: utf-8 -*-
import re
PUNKT = '.'
UNK = '*'
ALPHA = 'абвгдеёжзийклмнопрстуфхцчшщъыьэюя'
ALPHABET = ALPHA + UNK + PUNKT
EVAL_REPLACE_GROUPS = ['её']
PHONETIC_REPLACE_GROUPS = ['оая', 'пб', 'сзц', 'вф', 'кгх', 'тд', 'чжшщ', 'еыэий', 'лр', 'ую', 'ьъ', 'нм']
VOWELS = 'аоийеёэыуюя'
ORDINALCARIDNAL2TEXT = {... | vadimkantorov/convasr | ru.py | ru.py | py | 5,904 | python | ru | code | 19 | github-code | 18 | [
{
"api_name": "re.sub",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 241,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 247,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_numbe... |
27613778397 | #!/usr/bin/env python3
# rosetta LR with sample based (horizonal federated learning)
import latticex.rosetta as rtt # difference from tensorflow
import math
import os
import sys
import csv
import tensorflow as tf
import numpy as np
import pandas as pd
import time
import argparse
from sklearn.metrics import roc_auc_sco... | LatticeX-Foundation/Rosetta | example/tutorials/code/rtt-ds-lr.py | rtt-ds-lr.py | py | 5,234 | python | en | code | 544 | github-code | 18 | [
{
"api_name": "latticex.rosetta.activate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "latticex.rosetta",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "latticex.rosetta.py_protocol_handler.get_party_id",
"line_number": 16,
"usage_type": "call"
... |
72958895399 | import warnings
import numpy as np
import pandas as pd
from diffprivlib.mechanisms import Laplace
from diffprivlib.mechanisms import Gaussian
from diffprivlib.mechanisms import Geometric
from diffprivlib.mechanisms import Binary
from diffprivlib.mechanisms import Exponential, ExponentialCategorical
import random
import... | ajinkya-ch/DataDiP | noise_add.py | noise_add.py | py | 3,791 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "diffprivlib.mechanisms.Laplace",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "diffpri... |
23869615740 | '''
An asynchronous consumer for the RabbitMQ message queue.
Input parameters:
amqp_url: The URL of the RabbitMQ server.
exchange: The exchange name.
exchange_type: The exchange type, default is 'topic'.
queue: The queue name.
This consumer will only subscribe to the queue and wait for messages. Multipl... | yynil/MMFSTF | src/common/async_consumer.py | async_consumer.py | py | 20,581 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "abc.ABC",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "abc.abstractmethod",... |
2398296677 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# ===========================
# @Author : inf
# @Time : 2020/10/8 7:08
# ===========================
import re
from collections import Iterable
from win.orm_database import DB, ORM_MAPPINGS
class IntegerField(dict):
"""定义对应数据表的字段"""
def __init__(self, f... | infun999/win | win/orm_database/base_orm.py | base_orm.py | py | 10,795 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "win.orm_database.ORM_MAPPINGS",
"line_number": 58,
"usage_type": "name"
},
{
"api_name": "win.orm_database.DB",
"line_number": 111,
"usage_type": "name"
},
{
"api_name": "collections.Iterable",
"line_number": 228,
"usage_type": "argument"
}
] |
70232779561 | '''remote_font.py'''
import os
import shutil
from enum import Enum
from urllib.parse import urlparse
import requests
from . import Font
from fonty.lib.variants import FontAttribute
from fonty.lib.constants import TMP_DIR
class RemoteFont(object):
'''Represents a remote font.'''
# Meta Classes ---------------... | jamesssooi/fonty | fonty/models/font/remote_font.py | remote_font.py | py | 3,862 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse.urlparse",
"... |
10952841070 | from pyspark import SparkContext
from pyspark.sql.session import SparkSession
from pyspark.sql import functions as F
from pyspark.sql.types import *
# start spark with 1 worker thread
sc = SparkContext("local[1]")
sc.setLogLevel("ERROR")
spark = SparkSession(sc)
"""
Are the tasks that request the more resources th... | lokeaichirou/spark-project | code/a7_try.py | a7_try.py | py | 5,656 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.SparkContext",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.session.SparkSession",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.col",
"line_number": 62,
"usage_type": "call"
},
{
"ap... |
70043646759 | import flet as ft
from pyastrov.core import AstroVCore
from pyastrov.procimg.stack import ImageStacker
import asyncio
from pyastrov.logger import setup_logger
from pyastrov.ui import ft_part
import numpy as np
from collections import deque
from multiprocessing import Process, Manager, shared_memory
import multiprocessi... | imoken1122/PyAstroV | pyastrov/ui/control_panel/stack.py | stack.py | py | 5,814 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyastrov.logger.setup_logger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flet.UserControl",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pyastrov.core.AstroVCore",
"line_number": 18,
"usage_type": "name"
},
{
"api_n... |
10253492103 | from django import forms
from django.core import validators
#from modules.h2hClass import *
#from django.forms import NumberInput
import requests
def checkH2HLeague(value):
url = 'https://fantasy.premierleague.com/api/leagues-h2h/' +str(value)+ '/standings/'
r = requests.get(url)
json = r.json()
print(... | awhelanUCD/Fantasy-Premier-League-Aid-public | live_gameweek/forms.py | forms.py | py | 895 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.forms.ValidationError",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.forms.Fo... |
13091216144 | """
Organize the performance results into a single csv.
"""
import os
import sys
import argparse
from datetime import datetime
from itertools import product
import numpy as np
import pandas as pd
from scipy.stats import sem
from tqdm import tqdm
here = os.path.abspath(os.path.dirname(__file__))
sys.path.insert(0, her... | jjbrophy47/trex | scripts/postprocess/runtime.py | runtime.py | py | 4,882 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"l... |
34125975111 | from crypt import methods
import os
import tensorflow as tf
import numpy as np
import keras as k
from keras.models import load_model
from keras.preprocessing import image
from PIL.Image import open
import cv2
from flask import Flask, request, render_template
from werkzeug.utils import secure_filename
app=Flask(__name_... | bsvn23/Mini | demoapp/app.py | app.py | py | 1,346 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.models.load_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
... |
3657811330 | #!/usr/bin/python3
import networkx as nx
import matplotlib.pyplot as plt
from random import randrange
G = nx.Graph()
def create_graph(num):
G.clear()
H = nx.path_graph(num)
G.add_nodes_from(H)
def add_connection(num):
x = randrange(0, num)
y = randrange(0, num)
while y == x:
y = randrange(0, num)
e = (x, y... | PedroCapa/SDLE | Ficha1/graphConnected.py | graphConnected.py | py | 727 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "networkx.Graph",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "networkx.path_graph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.randrange",... |
73939320040 | """Shuffle and split data into train/validation and test sets.
eICU is split into train/test.
MIMIC is the same except for shuffling and filtering out age >= 18.
"""
import pandas as pd
from sklearn.utils import shuffle
SPLIT_PROP = 0.7
eicu_df = pd.read_csv('../../data/eicu/eicu_cleaned/eicu_anypna_2_days_post_i... | hlzhou/peer-score | src/data_processing/shuffle_split.py | shuffle_split.py | py | 915 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.s... |
782376090 | import numpy as np
# Calculate the option price using the Black-Scholes model
def black_scholes(S, K, T, r, sigma, option_type):
from scipy.stats import norm
T = T / 12 # Convert time to expiration to months
d1 = (np.log(S / K) + (r + sigma ** 2 / 2) * T) / (sigma * np.sqrt(T))
d2 = d1 - sigma * np.sq... | iliap2000/options | app.py | app.py | py | 1,137 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.log",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.cdf",
"line_number"... |
71074539560 | import os
from urllib import request
from dotenv import load_dotenv
from telethon import TelegramClient
from telethon.errors import FloodWaitError
from telethon.tl.functions.contacts import ImportContactsRequest, DeleteContactsRequest
from telethon.tl.types import InputPhoneContact
load_dotenv()
TELEGRAM_API_ID = in... | bagaswastu/inspektur | api/modules/telegram.py | telegram.py | py | 1,836 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
34467567456 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import logging
import netCDF4 as nc
import numpy as np
import pytz
from math import atan2, pi
from pathlib import Path
from pysolar.solar import get_azimuth_fast
from scipy.interpolate import interp1d
from globsim.common_utils import str_encode, series_interpolate
from g... | geocryology/globsim | globsim/scale/JRAscale.py | JRAscale.py | py | 19,878 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "globsim.scale.GenericScale.GenericScale",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 49,
"usage_type": "call"
},
{
"api_nam... |
13945589804 | import tornado.web
from . import device_manager
from .global_namespace import *
class BaseHandler(tornado.web.RequestHandler):
def end_with_json(self, code, data=None, message=None):
request_url = self.request.uri
result_dict = {
'code': code,
'data': data or {},
... | Hanlen520/simhand2_pymanager | simhand2_manager/handler.py | handler.py | py | 1,161 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tornado.web.web",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tornado.web",
"line_number": 6,
"usage_type": "name"
}
] |
22644934235 | import sys, time
import random
import requests
import config
def send_data_to_influxdb(env_data, start_vacuum_pump):
line_protocol_data = f"{config.ORGANIZATION},sensor_id={config.SENSOR_ID} temperature={env_data['temperature']},humidity={env_data['humidity']},pressure={env_data['pressure']},pump_started={start... | normcyr/maple-sap-vacuum-controller | test_influxdb.py | test_influxdb.py | py | 1,955 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.ORGANIZATION",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config.SENSOR_ID",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "config.INFLUXDB_URL",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name"... |
3273192441 | from bench.common import (
SampleConfig,
register_sample,
SampleSource,
SampleTag,
)
import numpy as np
def get_sample_config():
return SampleConfig(
args_cases=[(892, 52, 32), (492, 26, 16), (292, 18, 4)],
requires_grad=[False] * 3,
backward=[False],
performance_it... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/scaled_l2/__init__.py | __init__.py | py | 902 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "bench.common.SampleConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bench.common.SampleSource.MMSEG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "bench.common.SampleSource",
"line_number": 17,
"usage_type": "name"
},
... |
32651892775 | from datetime import datetime
from decimal import Decimal
from typing import Annotated, Any
import fastapi as fa
import services.payment.db_handlers as payment_hand
import services.payment.schemas as payment_schemas
from database.db_async import get_async_session
from services.payment.utils.robokassa import (
calc... | alexei-emelin/tgparsing-backend | app/services/payment/views.py | views.py | py | 2,575 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "services.payment.schemas.PaymentCreate",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "services.payment.schemas",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "services.user.models.User",
"line_number": 23,
"usage_type": "name"
... |
37304543674 | from collections import defaultdict
class Solution:
def sumPrefixScores(self, words: List[str]) -> List[int]:
ctr = defaultdict(int)
for w in words:
n = len(w)
for i in range(1, n + 1):
ctr[w[:i]] += 1
res = []
for w in words:
n = ... | theabbie/leetcode | sum-of-prefix-scores-of-strings.py | sum-of-prefix-scores-of-strings.py | py | 468 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
19498013352 | from pymongo import MongoClient
import certifi
from pymongo import database
def get_database(URI: str, DB: str) -> database.Database:
# get certificate
cert = certifi.where()
# Create a new client and connect to the server
client = MongoClient(
URI,
tlsCAFile=cert
)
# Send a ... | AnimeTrackerr/Anime-Scrapper | Utils/ConnectMongoDB.py | ConnectMongoDB.py | py | 795 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "certifi.where",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pymongo.database.Database",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pymong... |
70539389480 | import json
from urllib.request import urlopen, Request
from bs4 import BeautifulSoup
import os
from unidecode import unidecode
if os.path.exists('cities.json'):
os.remove('cities.json')
host_name = 'https://en.wikipedia.org'
url = host_name + '/wiki/List_of_cities_by_international_visitors'
page = urlopen(url)
... | lijaso15/vievacance | backend/web-scraping/cities.py | cities.py | py | 4,619 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line... |
38658520203 | __author__ = "Gagarin Ruslan"
import unittest
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver import ChromeOptions, Chrome, Firefox, FirefoxOptions, FirefoxProfile
from sele... | Theru1/samples | selenium_framework_plastiq.py | selenium_framework_plastiq.py | py | 1,969 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of_element_located",... |
37520042433 | import os
import logging
import traceback
from logging.handlers import TimedRotatingFileHandler
from .config_reader import ConfigReader
class XlogConfig(object):
def __init__(self
, log_level=logging.DEBUG
, console_log_flag=True
, console_log_level=logging.INFO
... | Anlandme/dddd | src/comm/xlog.py | xlog.py | py | 7,321 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config_reader.... |
7897221739 | from django.urls import path
from .views import *
urlpatterns = [
path('mensajes/', mensajeList, name='mensaje_listar'),
path('mensaje/<id>', mensajeDetalle , name='mensaje_detalle'),
path('mensaje/nuevo/', mensajeCrear , name='mensaje_crear'),
path('mensajes/editar/<id>', mensajeEditar , name='mensaje... | oamc90/EntregaFinal_Proyecto | app2/urls.py | urls.py | py | 484 | python | es | code | 0 | github-code | 18 | [
{
"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",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
27028550065 | import json
def xor(data):
return bytearray((data[i] ^ ord("Q") for i in range(0, len(data))))
config = {}
config['Hostname'] = "kunnoh"
config['Migrate'] = "sec"
config = json.dumps(config).encode()
padding = b"\x00" * (2000 - len(config) - 1)
config = xor(config) + b"\xff"+ padding
# Find {"Hostname"
with ope... | kunnoh/c2 | patch.py | patch.py | py | 575 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 10,
"usage_type": "call"
}
] |
3855424014 | import os
from xml.dom import minidom
from libvirt import libvirtError
from libvirttestapi.src import sharedmod
required_params = ('poolname',)
optional_params = {}
def display_pool_info(conn):
"""Display current storage pool information"""
logger.debug("current define storage pool: %s"
% c... | libvirt/libvirt-test-API | libvirttestapi/repos/storage/build_netfs_pool.py | build_netfs_pool.py | py | 2,113 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "os.access",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.R_OK",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "libvirttestapi.src.sharedmod.libvirtobj",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "l... |
35960202718 | import cv2
import numpy as np
from scipy.misc import imresize
from PIL import Image
import cv2
import matplotlib.pyplot as plt
from scipy.misc import imsave
from scipy.misc import toimage
# Load an color image in grayscale
img = cv2.imread('test.png')
image = np.array(img)
img = Image.fromarray(image)
img.show()
... | sujit-rai/Super-Resolution-using-Capsnet | code/convolution_manual.py | convolution_manual.py | py | 1,238 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_numb... |
25217262782 | # https://leetcode.com/problems/pacific-atlantic-water-flow/
from typing import List
class Solution:
def pacificAtlantic(self, heights: List[List[int]]) -> List[List[int]]:
m, n = len(heights), len(heights[0])
def dfs(i: int, j: int, visited: set, debug: bool = False) -> None:
visited... | ronelzb/leetcode | problems/blind_75_must_do/0417_pacific_atlantic_water_flow.py | 0417_pacific_atlantic_water_flow.py | py | 1,081 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
25648211541 | """
Apache2 Configuration:
http://www.cyberciti.biz/faq/ubuntu-mod_python-apache-tutorial/
"""
from mod_python import apache
import time
import math
import json
import os
# File names
log_file = "/var/www/py/speed_log.txt"
json_filename = "/var/www/py/json_log.json"
test = 1
start_time = None
transfer_frequency = 3... | deradev/mpquicScheduler | src/AStream/dist/server/ThrottleServer.py | ThrottleServer.py | py | 3,333 | python | en | code | 40 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path.getsize",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "mod_python.apache.HTTP_NOT_FOU... |
18304608471 | #!/usr/bin/python
'''
Documentation:
Description: CHANGE CODE SECTION IN MAIN()
Parameter: FOUND IN YAML FILE
# hint: you cannot use print or use quit!
# within project folder, have a library folder with all python scripts...
# cd into project folder and run yml ... | ItMeansBigMountain/CloudAutomation | Ansible/library/ansible_module_template.py | ansible_module_template.py | py | 1,806 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 45,
"usage_type": "call"
}
] |
71426668200 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | forwet_covid-19-analysis-1.py | forwet_covid-19-analysis-1.py | py | 6,696 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rc",
"line_number": ... |
21227258333 | from rest_framework import serializers
from rest_framework.validators import UniqueTogetherValidator
from .models import Bookmark
class BookmarkSerializer(serializers.ModelSerializer):
class Meta:
model = Bookmark
fields = ("id", "user", "article", "bookmarked_on")
validators = [
... | andela/ah-backend-dojo | authors/apps/article_bookmarks/serializers.py | serializers.py | py | 567 | python | en | code | 3 | 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": "models.Bookmark",
"line_number": 9,
"usage_type": "name"
},
... |
12073228757 | __author__ = 'mickael'
from flask import Flask
from flask import render_template
from flask.ext.restful import Api
from flask.ext.cors import CORS
from flask_restful_swagger import swagger
from utils import catch_exceptions
import config
# Flask application
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] =... | KIClubinfo/EDTAPI | server.py | server.py | py | 1,239 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.DB_URL",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.ext.cors.CORS",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "lib.model.db.init_... |
13881627081 | import json
import os
import pickle
import sys
import numpy as np
import pandas as pd
import pytest
import scipy
from dotenv import load_dotenv
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.linear_model import SGDClassifier
sys.path.insert(1, os.path.join(sys.path[0], '..'... | lemminkainen94/mlops-project | app/tests/test_unit_tests.py | test_unit_tests.py | py | 1,265 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
2336405321 | from .base import EntityRef
from .exchange_ref import ExchangeRef
from itertools import chain
class MultipleReferences(Exception):
pass
class NoReference(Exception):
pass
class ProcessRef(EntityRef):
"""
Processes can lookup:
"""
_etype = 'process'
_ref_field = 'referenceExchange'
... | AntelopeLCA/antelope | antelope/refs/process_ref.py | process_ref.py | py | 11,926 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "base.EntityRef",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "exchange_ref.ExchangeRef",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 291,
"usage_type": "call"
},
{
"api_name": "itertools.c... |
33071788495 | from celery import shared_task
from django.conf import settings
from django.core.mail import send_mail
from celery import Celery
from cotacao.models import AtivoMonitorado
from datetime import datetime, timedelta
from .configs_email import *
celery = Celery('tasks', broker='redis://127.0.0.1:6379')
@shared_task
de... | ilanaraujo/hermes | hermes/hermes/tasks.py | tasks.py | py | 1,112 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "celery.Celery",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cotacao.models.AtivoMonitorado.objejcts.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cotacao.models.AtivoMonitorado.objejcts",
"line_number": 16,
"usage_type": "att... |
24475126671 | from __future__ import annotations
import logging
from enum import Enum
from typing import TYPE_CHECKING, List, Set, Union, Tuple, Dict, Optional
import networkx as nx
# Avoid circular imports due to type checking.
import objects.ast.util as util
from objects.ast.models import Expression, Variable
from preprocessing... | melroy999/2IMC00-SLCO | SLCOtoJAVA3.0/objects/locking/models.py | models.py | py | 14,479 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "objects.ast.models.VariableRef",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "objects.ast.models.VariableRef",
"line_number": 25,
"usage_type": "name"
},
{
... |
22605980174 | # -*- coding: utf-8 -*-
"""
Created on Mon Feb 19 16:35:51 2018
for printing:
for i, layer in enumerate(base_model.layers):
print(i, layer.name)
@author: medvel
"""
# -------------------- Importing modules -----------------------------------
import matplotlib
matplotlib.use('Agg')
import matplotlib.... | chaagu/exjobb | software/finetune_one_train_imaug.py | finetune_one_train_imaug.py | py | 10,527 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.backend.clear_session",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "imgaug.augme... |
11335622691 | from flask import Flask, render_template, request
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
#database
cred = credentials.Certificate('blacktie-2a2a9-firebase-adminsdk-59nbn-f6c28ab314.json')
app = firebase_admin.initialize_app(cred)
db = firestore.client()
#cla... | gomesjair/blacktie | app.py | app.py | py | 934 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "firebase_admin.credentials.Certificate",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "firebase_admin.credentials",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "firebase_admin.initialize_app",
"line_number": 8,
"usage_type": "call"
... |
13016625206 | """
Steadyturning module:
1, building steady turning configuration;
2, special u's as zeros, roll, pitch and steer rates;
3, equilibrium values: dynamic equations & nonholonomic equations & combination.
"""
import bicycle as bi
import sympy as sym
import sympy.physics.mechanics as mec
from numpy import *
q2, q3, q4... | StefenYin/BicycleThesis | constraint/steadyturning.py | steadyturning.py | py | 5,666 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sympy.physics.mechanics.dynamicsymbols",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sympy.physics.mechanics",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sympy.physics.mechanics.dynamicsymbols",
"line_number": 16,
"usage_type": ... |
32305469361 | from collections import OrderedDict
import logging
import os
import binascii
from io import BytesIO
from django.http import StreamingHttpResponse, FileResponse, QueryDict
from django.utils.http import urlquote
from django.utils.translation import gettext_lazy, gettext as _
from django.core.validators import validate_e... | 25280841/iharbor | apps/api/views.py | views.py | py | 137,030 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "binascii.hexlify",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.urandom",
... |
37556513448 | import sqlite3
def get_match_rows(q):
# Strings to build the query
field_list = 'w0.url_id'
table_list = ''
clause_list = ''
word_ids = []
# Split the words by spaces
words = q.split(' ')
table_number = 0
for word in words:
word_row = conn.execute("select rowid from word_l... | FarsanRashid/search-guardian-news | Search.py | Search.py | py | 3,085 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 91,
"usage_type": "call"
}
] |
5963036256 | from django.db import models
from django.db.models import Sum, Q
from django.core import exceptions
from django.utils.translation import ugettext as _
from django.utils import timezone
from time_tracker.models import Profile
from time_tracker.models import Project
import time
class TimeReportManager(models.Manager)... | mtrdesign/mtr-time-tracker | rest/time_tracker/models/time_report.py | time_report.py | py | 3,417 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.db.models.Manager",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.db.models.Q",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "dja... |
13560177459 | import sqlite3
from common import *
DB_CONNECTION = sqlite3.connect("resource/ichatbot.db")
DB_CURSOR = DB_CONNECTION.cursor()
def get_word_count(word):
sql_word_count = "SELECT count FROM word WHERE word =:word"
DB_CURSOR.execute(sql_word_count, {"word": word})
res_row = DB_CURSOR.fetchone()
count ... | wenkwang/ichatbot | main/dbutil.py | dbutil.py | py | 3,295 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
36533073361 | import time
import os
import pdb
import warnings
from collections import OrderedDict
from optparse import OptionParser
import mdtraj
import mbuild as mb
import cg_mapping.mapping_functions as mapping_functions
PATH_TO_MAPPINGS='/raid6/homes/ahy3nz/Programs/cg_mapping/cg_mapping/charmm_mappings/'
HOOMD_FF="/raid6/hom... | ahy3nz/cg_mapping | cg_mapping/scripts/map_traj.py | map_traj.py | py | 5,886 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "optparse.OptionParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "mdtraj.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_... |
41522778568 | from flask_restful import reqparse, Resource
import numpy as np
import pickle as p
import pandas
import json
from sklearn.preprocessing import LabelEncoder
path = "file/"
class District(Resource):
# 도/특별시/광역시 조회
def get(self):
distinct_1= json.load(open(path+'district.json', 'rb'))
keys = [key... | YeoJiSu/No-Crime-App | backend/venv/crime.py | crime.py | py | 5,963 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_restful.Resource",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_restful.reqparse.RequestParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
5364680796 | from collections import deque
def bfs(graph, start, visited):
queue = deque([start])
visited[start] = True
while queue:
v = queue.popleft()
for i in graph[v]:
if not visited[i]:
queue.append(i)
visited[i] = True
T = int(input())
coun... | silverkong/Baekjoon | 백준/Silver/10451. 순열 사이클/순열 사이클.py | 순열 사이클.py | py | 810 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 4,
"usage_type": "call"
}
] |
7973337809 | from torch.utils.data import Dataset
import h5py
import util
import numpy as np
from tqdm.autonotebook import tqdm
import os
from glob import glob
import pickle
import torch
class QuenchDataset(Dataset):
'''
positive_files = glob(down_folder + '*.h5')
negative_files = glob(up_folder + '*.h5')
print('... | sulcantonin/SRF_IPAC22 | code/dataset.py | dataset.py | py | 11,838 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "tqdm.autonotebook.tqdm",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "util.read_h5_llrf_locations",
"line_number": 35,
"usage_type": "call"
},
{
"api_n... |
10067675145 | import pandas as pd
from sklearn import linear_model
df = pd.read_csv("C:\\Users\\ASUS\\Desktop\\Codes\\Python\\regression_learning\\ins_multiple.csv")
print(df)
mean_Value = df.height.mean()
df["height"] = df["height"].fillna(mean_Value) # There is a null value in height. So modifying dataFrame
print(df)
reg = lin... | soumajyoti02/Mechine-Learning-Codes | linear_reg_Mult_Value.py | linear_reg_Mult_Value.py | py | 666 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model",
"line_number": 12,
"usage_type": "name"
}
] |
40320558301 | from copy import deepcopy
import mock
from vinfraclient.cmd.compute.cluster import BaselineCPU
from tests import utils
baseline_cpu_info = [
{
u'models': [
u'SandyBridge',
u'Haswell',
],
u'patched': True,
u'node_id': u'id-0',
u'hostname': u'master.vst... | acronis/vinfra | tests/vinfraclient/cmd/compute/cluster/test_cluster.py | test_cluster.py | py | 2,779 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "tests.utils.TestCommand",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "tests.utils",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "vinfraclient.cmd.compute.cluster.BaselineCPU",
"line_number": 49,
"usage_type": "call"
},
{
... |
70762176040 | """
meta.py: The file containing the metadata for the student and teacher models
"""
from collections import namedtuple
from sys import exit
class AppMeta:
"""
AppMeta: Values to use throughout application runtime.
"""
# app default constants
_REMOTE_REPO = "https://github.com/singlest... | hoovler/SsChallengeApp | challenge_app/meta.py | meta.py | py | 4,658 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 53,
"usage_type": "call"
}
] |
40528726734 | import numpy as np
import cv2
from line import Line
import matplotlib.pyplot as plt
# Define conversions in x and y from pixels space to meters
ym_per_pix = 30 / 720 # meters per pixel in y dimension
xm_per_pix = 3.7 / 700 # meters per pixel in x dimension
class LaneFinder:
def __init__(self, mtx, dist):
... | bejjani/udacityCarND | CarND-Advanced-Lane-Lines/lanefinder.py | lanefinder.py | py | 13,322 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "line.Line",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "line.Line",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_numbe... |
16556248262 | from rest_framework import serializers
from .models import Order, OrderItem
from django.db import transaction
class OrderItemSerializer(serializers.ModelSerializer):
price = serializers.DecimalField(max_digits=8, decimal_places=2)
class Meta:
model = OrderItem
fields = ("price", "product", "q... | shamitabh/Vue | tutorial-typescript/backend/DjangoApi/order/serializers.py | serializers.py | py | 1,289 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.DecimalField",
"line_number": 7,
"usa... |
35501509297 | from typing import Any, Mapping
import numpy as np
from pathlib import Path
import argparse
from collections import OrderedDict
import os
import torch
from torch import nn
from torch.utils.data import DataLoader
from catalyst import dl
from sklearn.model_selection import train_test_split
import segmentation_models_p... | ai-forever/railway_infrastructure_detection_aij2021 | segmentation/src/main.py | main.py | py | 4,249 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "segmentation.src.dataset.RZDDataset",
"line_number": 36,
"usage_type": "call"
},
... |
27380192250 | #!/usr/bin/env python
"""
NNV - wip 005 :
HAS:
- Layout + canvas
- Increment - Decrement Controls
- Grid
- Circle/Full Circle Examples
NEEDS:
- PLACE OBJECT WIDGET NEURONS
To Do:
- App architecure, where to add neurons.
- Paceholder neurons
"""
import os
from kivy.properties import BoundedNumericProperty
from kivy... | KenoLeon/NeuralNetViewer_Wrk | Prototypes_Kivy/WIP-OLD/wip006.py | wip006.py | py | 5,532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kivy.config.Config.set",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "kivy.config.Config",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "kivy.config.Config.set",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "kivy... |
37213807361 | import argparse
from typing import Dict, List
import zmq
from pysecurecircuit import const, utils
from pysecurecircuit.circuit import GarbledCircuit, GarbledGate, GarbledKey
from pysecurecircuit.ot import ot_decrypt, ot_request
from pysecurecircuit.secure_types import _SecureInt
class Client:
def __init__(
... | Yash-Amin/pySecureCircuit | pysecurecircuit/client.py | client.py | py | 6,137 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "zmq.Context",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "zmq.REQ",
"line_number": 55,
... |
70703366119 | '''
Created on 2020-08-22
@author: wf
'''
import os
import yaml
#from wikibot.mwTable import MediaWikiTable
# redundant copy in this library to avoid dependency issues
# original is at
from lodstorage.mwTable import MediaWikiTable
class Query(object):
''' a Query e.g. for SPAQRL '''
def __init__(self,nam... | J4keFr0mStatef/The_Accu-Rack | AccurackVenv/Accurack1/Lib/site-packages/lodstorage/query.py | query.py | py | 2,563 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "lodstorage.mwTable.MediaWikiTable",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "yaml.s... |
74471484839 | from __future__ import annotations
import jwt
from flask import current_app
import json
from enum import Enum, IntFlag
from typing import Optional
from datetime import datetime, timedelta
from redis_om import JsonModel, Field
from app.extensions import bcrypt
from app.api.common.utils.exceptions import UnauthorizedExc... | ABilenduke/seira-domi | app/models/user.py | user.py | py | 3,999 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "redis_om.JsonModel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "redis_om.Field",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "redis_om.Field",
"lin... |
17954932512 | from django.shortcuts import redirect
from django.utils.deprecation import MiddlewareMixin
from ..views.common import *
import json
class UserMiddleware(MiddlewareMixin):
"""Checks if the user is allowed to access the page they are requesting."""
def process_request(self, request):
"""The main part of the middlew... | aldesabido/sampleproj | project/middleware/user_middleware.py | user_middleware.py | py | 1,121 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.utils.deprecation.MiddlewareMixin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 46,
"usage_type": "call"
}... |
2656265154 | import os
import sys
import json
from zipfile import ZipFile
import argparse
import boto3
import spacy
import pprint
sys.path.append(os.path.join(os.path.dirname(__file__), "../../"))
from yans.storage import Storage
from yans.data.train import Evaluator, make_data
def main(model_path, data_path,
num_limit, ... | icoxfog417/yans-2019-annotation-hackathon | yans/data/evaluate.py | evaluate.py | py | 2,056 | python | en | code | 13 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
12421204565 | # import the necessary packages
import numpy as np
import cv2
import sqlite3
import io
def convert_array(text):
out = io.BytesIO(text)
out.seek(0)
return np.load(out)
class CoverMatcher:
def __init__(self, descriptor, ratio = 0.7, minMatches = 40, useHamming = True):
# store the descriptor, ... | feilkontroll/objektivaudio1 | pyimagesearch/covermatcher.py | covermatcher.py | py | 3,424 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "io.BytesIO",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.register_converter",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
40081403769 | import os
import sys
import json
import argparse
def write_ts_interface(name, content, outdir="./"):
if outdir[-1] != "/":
outdir += "/"
iname = "I{}".format(name)
filename = "{}{}.d.ts".format(outdir, iname)
output = "export default interface {} {{\n".format(iname)
for key in content.keys():
if type(cont... | NicoNex/most | json2ts.py | json2ts.py | py | 2,031 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.basename",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
5749668315 | import sys
import argparse
from collections import defaultdict
reset_report = None
def print_usage(name, input_file):
print(f"Usage: python3 {name} {input_file}")
def load_inputs(input_file):
global reset_report
report = []
if reset_report is not None:
report = reset_report.copy()
else:
... | smokeytheblair/adventcode | 2020/day15.py | day15.py | py | 2,082 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
... |
11253892420 | #actuator.py
from ..device import sOPCUA_Device
import logging
class sOPCUA_Actuator(sOPCUA_Device):
"""
Abstract class to manage an actuator into an OPCUA server
"""
STATE_OFF = "Off"
STATE_ON = "On"
MKEY_TURN_ON = 'turn_on'
MKEY_TURN_OFF = 'turn_off'
def __init__(self, cate... | paolopasqua/iot_devices | iot_devices/opcua/server/actuators/actuator.py | actuator.py | py | 1,182 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "device.sOPCUA_Device",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "logging.debug",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "device.sOPCUA_Device.KEY_STATE",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": ... |
74195427880 | import json
import boto3
import os
import base64
sagemaker = boto3.client("runtime.sagemaker")
endpoint_name = os.environ["SAGEMAKER_ENDPOINT_NAME"]
lambda_client = boto3.client("lambda")
ip_filter_lambda_arn = os.environ["IP_FILTER_ARN"]
def extract_review_full_text(base64_data):
data = json.loads(base64.b64dec... | jakipatryk/aws-bigdata-toyproject | spam-filter/lambda_function.py | lambda_function.py | py | 1,717 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number"... |
3502041405 | import datetime
import io
import time
import traceback
import psycopg2
import telebot
import pandas as pd
import pandas.io.sql as psql
import matplotlib.pyplot as plt
from pylab import rcParams
rcParams['figure.figsize'] = 12, 10
token = 'token'
bot = telebot.TeleBot(token, threaded=False)
keyb... | airocket/keep_dl | telegram_interface.py | telegram_interface.py | py | 4,310 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pylab.rcParams",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "telebot.TeleBot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tele... |
36919324908 | import numpy as np
import time
def using_flat_index(d, xb, xq):
index_flat = faiss.IndexFlatL2(d) # build a flat (CPU) index
# make it a flat GPU index
gpu_index_flat = faiss.index_cpu_to_gpu(res, 0, index_flat)
# gpu_index_flat = faiss.index_cpu_to_gpus_list(index_flat, gpus = [2], ngpu=1)
gpu... | oviazlo/perf_faiss_kNN | perf_flat_random.py | perf_flat_random.py | py | 3,535 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tensorflow.sets.intersection",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "tensorflow.sets",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "os.... |
6784457338 | import telebot
from config.config import TOKEN
from flask import Blueprint, request, abort
from app import db
from app.models import User, NewWords
from app.telegram_bot.process_user_welcome import ProcessWelcome
from app.telegram_bot.synonyms import find_synonym
import random
bot = telebot.TeleBot(TOKEN)
web = Bluep... | Iaroslavv/English-learning-bot | app/telegram_bot/tele_bot.py | tele_bot.py | py | 8,126 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telebot.TeleBot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "config.config.TOKEN",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "flask.Blueprint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request... |
28439245168 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 9 09:25:22 2020
@author: hrmha
"""
if __name__ == '__main__':
print('Starting')
from userClass import *
from userClass import *
from hash import *
from findHash import *
from getUsersData import *
import matplotlib.pyplot as plt
def getData():
data = usersListFr... | Hector290601/EDA2 | busqueda/hashFind/main.py | main.py | py | 2,277 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.suptitle",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": ... |
7633803395 | import asyncio
import aiocoap
import logging
import time
import os
import re
import hashlib
import aiocoap.resource as resource
logging.basicConfig(level=logging.DEBUG,format='%(levelname)s %(message)s')
logger = logging.getLogger('lwm2mserver')
class Hasher(object):
def __init__(self, seed):
self.... | wangnuannuan/lwm2m-client | lwm2mserver/server.py | server.py | py | 13,117 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "hashlib.new"... |
39406727561 | import tensorflow as tf
from tensorflow.keras.applications.resnet50 import preprocess_input
import keras
from keras import layers, models
import os
import numpy as np
from pathlib import Path
from keras.regularizers import l2
import matplotlib.pyplot as plt
#from sklearn.model_selection import train_test_split
#uncom... | moumed/Smart-3D-Camera-Pose-Estimation-for-Complex-Augmented-Reality-Environments-Using-Deep-Learning-Techn | [3_TOUIL][Annexe_1][3DNet-Code-main]/5-2-_3DNet_CNN_Regression_Model.py | 5-2-_3DNet_CNN_Regression_Model.py | py | 5,223 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matpl... |
9286727626 | # logicPlan.py
# ------------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
... | doniobidov/data_science | Pacman intelligent agents AI/Project 3: Propositional logic-based agents/logicPlan.py | logicPlan.py | py | 19,939 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "util.raiseNotDefined",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "util.raiseNotDefined",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "util.raiseNotDefined",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "game.D... |
25675670979 | import cv2 as cv
import numpy as np
from math import atan
# deskews picture with i pixels
# returns deskewed picture
def deskew(img, i):
rows = img.shape[0]
cols = img.shape[1]
pts1 = np.float32([[0, 0], [cols - 1, 0], [cols - 1 + i, rows - 1]])
pts2 = np.float32([[0, 0], [cols - 1, 0], [cols - 1... | nieknaber/HandWritingRecognition | src/segmentation/slantNormalize.py | slantNormalize.py | py | 1,639 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.float32",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.getAffineTransform",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.warpAffine",
... |
74738739881 | import sys
from random import randint
import pygame
from utils.models import Game, GameElement
pygame.init()
game = Game(width=900, height=700, color=(32, 52, 81))
game.display.set_caption("Awesome Shooter Game")
dimentions = (game.screen.get_width(), game.screen.get_height())
fighter = GameElement('Fighter', './im... | wilfridterry/game-shooter | main.py | main.py | py | 2,316 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utils.models.Game",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.models.GameElement",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.models.Gam... |
39260978053 | from DataManager import dataBase
from telethon import TelegramClient
import asyncio
import requests
from LogData import logger, getDateTime
from utilities import *
logger.info('default', 'Basic Startup complete!!')
userData = dataBase.getUserData()
#function to send the telegram messages
async def sendMessage(data,mes... | coder-nobody/Cowin-slot-telegaram-notifier | main.py | main.py | py | 2,705 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "LogData.logger.info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "LogData.logger",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "DataManager.dataBase.getUserData",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Data... |
19480345430 | import pygame
import time
import math
import collections
import random
ifsetup = True
thestat = 0
# setting up pygame stuff
pygame.init()
infoObject = pygame.display.Info()
height = infoObject.current_h
width = infoObject.current_w
print("Screen Resolution: %s, %s" % (infoObject.current_w, in... | vladov3000/ib | ib.py | ib.py | py | 16,341 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.se... |
15233696400 | '''
breadth first values
Write a function, breadth_first_values, that takes in the root of a binary tree. The function should return a list containing all values of the tree in breadth-first order.
test_00:
a = Node('a')
b = Node('b')
c = Node('c')
d = Node('d')
e = Node('e')
f = Node('f')
a.left = b
a.right = c
b.l... | VictorHeDev/structy | module4/breadth_first_values.py | breadth_first_values.py | py | 1,713 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 95,
"usage_type": "call"
}
] |
29309032629 | import torch
import torchvision
from PIL import Image
# img = Image.open('PennFudanPed/PNGImages/FudanPed00001.png')
#
# mask = Image.open('PennFudanPed/PedMasks/FudanPed00001_mask.png')
#
# mask.putpalette([
# 0, 0, 0, # black background
# 255, 0, 0, # index 1 is red
# 255, 255, 0, # index 2 is yellow... | luckystoneke/PyTorchTutorial | objectdetection/JustTest.py | JustTest.py | py | 3,063 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torchvision.models.detection.maskrcnn_resnet50_fpn",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
"line... |
74462109481 | from typing import List
class Solution:
def reorderLogFiles(self, logs: List[str]) -> List[str]:
digit_logs = []
letter_logs = []
for log in logs:
if log.split()[1].isdigit():
digit_logs.append(log)
else:
letter_logs.append(log)
... | bbaJay749/Algorithm | Leetcode_937_Reorder Data in Log Files.py | Leetcode_937_Reorder Data in Log Files.py | py | 429 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
33334383604 |
# https://nasa-openscapes.github.io/2021-Cloud-Hackathon/tutorials/05_Data_Access_Direct_S3.html
# Instructions for getting access to the NASA data: https://urs.earthdata.nasa.gov/documentation/for_users/data_access/curl_and_wget
# imports
from datetime import datetime, timedelta
import os
import requests
import boto... | rangeldaroya/aist-ssc | src/preprocess/00_download_hls.py | 00_download_hls.py | py | 5,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numb... |
27591131284 | from requests.exceptions import RequestException
from tkinter import Button, Tk, Toplevel, Label
from tkinter.messagebox import askyesno
from pkg_resources import parse_version
from configparser import ConfigParser
from tkinter.ttk import Progressbar
from win32api import ShellExecute
from PIL import Image, ImageTk
from... | Boiiterra/math_problem_generator_app | launcher.py | launcher.py | py | 4,791 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "tkinter.Toplevel",
... |
35472145429 | from constants import *
from dataset import pad_sequences
from utils import Timer
from sklearn.utils import shuffle
from sklearn.model_selection import train_test_split
import numpy as np
import tensorflow as tf
import os
import shutil
if not os.path.exists(MODEL_PATH):
os.makedirs(MODEL_PATH)
shutil.copy2('con... | hehondou/Pointwise_Ranking | pointwise.py | pointwise.py | py | 13,516 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "shutil.copy2",
"line_numb... |
3304603576 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('feedback', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='ordercall',
name='page... | dkoldyaev/basis.ru | feedback/migrations/0002_ordercall_page.py | 0002_ordercall_page.py | py | 511 | python | en | code | 0 | github-code | 18 | [
{
"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"
},
{
... |
41765421951 | from django import forms
from django.core.exceptions import ValidationError
from .models import Choice
class QuestionInlineFormSet(forms.BaseInlineFormSet):
def clean(self):
if not (self.instance.QUESTION_MIN_LIMIT <= len(self.forms) <= self.instance.QUESTION_MAX_LIMIT):
raise ValidationError... | python-hillel/python_advanced_06_12_2022 | 06_django_quiz/src/quiz/forms.py | forms.py | py | 1,495 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.forms.BaseInlineFormSet",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.core.exceptions.ValidationError",
"line_number": 10,
"usage_type": "call"
},
{
... |
1805749021 | import logging
from selenium import webdriver
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import TimeoutException
import config as setting
LOGGER = l... | f00dog-x300/SauceLabsWithPythonSelenium4 | pages/base_page.py | base_page.py | py | 2,417 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "config.BASE_URL",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "selenium.we... |
37875127641 | from collections import defaultdict
def solution(X, Y, C):
N = X
recommendations = C
graph = defaultdict(list)
for recommendation in recommendations:
A, B = map(int, recommendation.split())
graph[A].append(B)
def dfs(node):
visited = set()
stack = [node]
w... | jhowilbur/challenges-and-datastructure_python | challenges/codility/test/1/1_election_season_improved.py | 1_election_season_improved.py | py | 961 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
}
] |
11671902282 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('hpilo', '0003_auto_20150208_0052'),
]
operations = [
migrations.AlterField(
model_name='ilostatusdetail',
... | wolfmc3/itmemory | hpilo/migrations/0004_auto_20150208_0054.py | 0004_auto_20150208_0054.py | py | 741 | python | en | code | 0 | github-code | 18 | [
{
"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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
74928360039 | """ Module containing pipelines (reoccuring function calls) for use with apscheduler. """
from datetime import datetime
import logging
from requests import Session
import json
from apscheduler.schedulers.background import BlockingScheduler
from driver.driver_config_builder import DriverConfig
from driver.compute_serv... | jeha-dblab/EDA_Framework | driver/pipeline.py | pipeline.py | py | 5,820 | python | en | code | 29 | github-code | 18 | [
{
"api_name": "driver.driver_config_builder.DriverConfig",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "driver.driver_config_builder.DriverConfig",
"line_number": 46,
"usage_type": "name... |
41885344675 | """Tests for ``siptools.scripts.create_addml`` module"""
from __future__ import unicode_literals
import os
import pytest
import lxml.etree as ET
import siptools.scripts.create_addml as create_addml
from siptools.utils import decode_path, read_md_references
CSV_FILE = "tests/data/csvfile.csv"
DELIMITER = ";"
CHARSET... | Digital-Preservation-Finland/dpres-siptools | tests/scripts/test_create_addml.py | test_create_addml.py | py | 7,428 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "siptools.scripts.create_addml.create_addml_metadata",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "siptools.scripts.create_addml",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 21,
"usage_typ... |
9390733953 | import torchvision.models as models
import torch.nn as nn
import config
class Yolo(nn.Module):
def __init__(self, backbone=None):
super().__init__()
if backbone is None:
self.backbone = models.resnet18(pretrained=True)
self.backbone.fc = nn.Sequential()
else:
... | ratata-t/yolo-v1 | yolo/model.py | model.py | py | 680 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet18",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torchvision.m... |
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