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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
39295529986 | import math
from pyspark.ml.feature import VectorAssembler
from pyspark.sql.functions import col, lit, min, max, asc, desc, concat_ws
from pyspark.mllib.common import _java2py
df = spark.read.option("header", "true").csv("data/cardataset.csv")
metric_columns = ["Engine HP", "Engine Cylinders", "highway MPG", "city mp... | Fokko/spark-stochastic-outlier-selection | cars-outliers.py | cars-outliers.py | py | 1,792 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "pyspark.sql.functions.col",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.lit",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.min",
"line_number": 13,
"usage_type": "call"
},
{
"api... |
29916922995 | from sklearn.metrics import accuracy_score
from data_functions import train_val_split_by_fold
from xgboost import XGBClassifier
import numpy as np
import pandas as pd
from tqdm import tqdm
def cross_validation(df, processed_test_df, config):
full_predictions = []
full_targets = []
for fold in df.fold... | eternelnrj/kaggle | spaceship-titanic/training.py | training.py | py | 3,138 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "data_functions.train_val_split_by_fold",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 27,
"usage_type": "call"
},
... |
8094306065 | import pymongo
import uuid
from bson.objectid import ObjectId
client = pymongo.MongoClient(
"mongodb+srv://jaime:12345678A@clusterdemo-zcrgs.mongodb.net/test?retryWrites=true&w=majority")
db = client.project
# db.project.insert_one({
# '_id': str(uuid.uuid4()),
# 'budget_day': 1540,
# 'expense_day': ... | jaimesHub/AppMoney | db.py | db.py | py | 1,930 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bson.objectid.ObjectId",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "bson.objectid.Ob... |
43133049015 | import typer
from HEACalculator.cli import app as cli_app
from HEACalculator.gui import app as gui_app
app = typer.Typer(add_completion=False, no_args_is_help=True)
app.add_typer(gui_app,
name='gui',
help='Starts the HEACalculator Graphical User Interface (GUI)')
app.add_typer(cli_app,
... | dogusariturk/HEACalculator | HEACalculator/__main__.py | __main__.py | py | 700 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "typer.Typer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "HEACalculator.gui.app",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "HEACalculator.cli.app",
"line_number": 10,
"usage_type": "argument"
}
] |
18752438363 | # This problem was asked by Amazon.
# Given an integer k and a string s, find the length of the longest substring that contains at most k distinct characters.
# For example, given s = "abcba" and k = 2, the longest substring with k distinct characters is "bcb".
from itertools import combinations
unique_letters,result... | duanribeiro/DailyCodingProblem | SubstringK.py | SubstringK.py | py | 1,283 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "itertools.combinations",
"line_number": 18,
"usage_type": "call"
}
] |
8882516272 | #!/usr/bin/env python
from std_msgs.msg import Bool
import rospy
import sys, os
SCRIPTS_PATH = os.path.abspath(os.path.join(sys.path[0] ,"../../../resources"))
sys.path.append(SCRIPTS_PATH)
from getter import Getter
from utils import resource_name
class Gripper(Getter):
###
# Gripper information class extendin... | NickMcSweeney/AGTECH | hv_bridge/includes/Sensors/gripper.py | gripper.py | py | 1,078 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": ... |
20062280068 | import pytest
from gibbs.utilities import convert_psi_to_Pa, convert_F_to_K, convert_bar_to_Pa
@pytest.mark.parametrize('P_in_psi, P_in_Pa', [
[5.00, 34473.8],
[10.00, 68947.6],
[20.00, 137895],
[100.00, 689476],
[200.00, 1.379e6]
])
def test_psi_to_Pa(P_in_psi, P_in_Pa):
assert convert_psi_to... | volpatto/gibbs | tests/test_utilities.py | test_utilities.py | py | 871 | python | en | code | 36 | github-code | 7 | [
{
"api_name": "gibbs.utilities.convert_psi_to_Pa",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.approx",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name":... |
9155624050 | import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import griddata
filenames = ["data.txt", "data2.txt"]
lines = list()
for filename in filenames:
with open(filename, "r") as file:
lines += [line.strip().split(" ") for line in file.readlines()]
temps = list()
stepsizes = list()
e_t... | tosi2504/monte-carlo-methods | production/sheet5/plots/computer_time_beta_dt/plot.py | plot.py | py | 1,473 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
7587679445 | #!/usr/bin/env python
# Admits users from a .csv file with their email addresses in.
# Emails should be in the first column and can be login or contact emails.
from csv import reader
from sys import argv
import requests
SERVER_BASE = "https://register.2023.hacktheburgh.com/"
API_KEY = getenv("HTB_API_KEY")
API_SECRET... | compsoc-edinburgh/htb21-reg | scripts/admit_all.py | admit_all.py | py | 1,285 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.Session",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number"... |
27820503683 | from flask import Flask, render_template, request
app2 = Flask(__name__)
@app2.route('/')
def index():
return render_template('bmi.html')
@app2.route('/calculate_bmi', methods=['POST'])
def calculate_bmi():
weight = float(request.form['weight'])
height = float(request.form['height'])
bmi ... | Prajjwalpat/HealthOptimizer | bmi/bmif.py | bmif.py | py | 901 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
20073244599 | #Desafio054
from datetime import date
maioridade = 0
menor = 0
for c in range(1, 8):
idade = int(input(f'Insira a data de nascimento da {c}º pessoa: '))
pessoas = date.today().year - idade
if pessoas >= 18: #ou 21 anos, eu preferi fazer com 18 :p
maioridade += 1
else:
menor += 1
pri... | ADMVicli/curso-em-video-python | Mundo 02/Desafio054.py | Desafio054.py | py | 426 | python | pt | code | 2 | github-code | 7 | [
{
"api_name": "datetime.date.today",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 10,
"usage_type": "name"
}
] |
12152135948 | from flask import Flask, Blueprint
from flask_restx import Api
from flask_sqlalchemy import SQLAlchemy
from flask_jwt_extended import JWTManager
from datetime import timedelta
from flask_migrate import Migrate
from db import db
authorizations={
"Bearer Auth":{
'type':"apiKey",
... | stardev1/student_management_api | api/v1/__init__.py | __init__.py | py | 1,968 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Blueprint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_restx.Api",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
26967983504 | import logging
from configparser import ConfigParser
import pandas as pd
from matplotlib import pyplot as plt
"""
This module calculates customer tier using standard rules and points
Rules:
Points based system to divide the customers into three different groups
past Loans Matured:
if > 2: then points = 1... | abhisun/loan_default_prediction | get_customer_tier.py | get_customer_tier.py | py | 2,910 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "configparser.Conf... |
27480654461 | # -*- coding: utf-8 -*-
import scrapy
from seleniumtest.items import ProductItem
class JingdonglistSpider(scrapy.Spider):
name = 'jingdonglist'
allowed_domains = ['list.jd.com']
url = 'https://list.jd.com/list.html?cat=670,671,672'
def start_requests(self):
for page in range(1, self.settings.... | RenShixu/spider4 | seleniumtest/seleniumtest/spiders/jingdonglist.py | jingdonglist.py | py | 1,076 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "seleniumtest.items.ProductItem",
"line_number": 19,
"usage_type": "call"
}
] |
42875935976 | import json
import pprint
import telepot
from nasa import earth
from typing import NamedTuple, Any
from tqdm import tqdm
import pendulum
import os
os.environ.setdefault(
'NASA_API_KEY',
# 'xkPcYAoU93O1PeqPrKXyjpGChT1FkQ8TjA7Neg7V',
'xuOXLGNmyk4SPgtz4nIDaTQHcXo6la0PQpMoW8QM',
)
class Bound:
"""
Re... | Raphiqui/Catching_Wildfires | app.py | app.py | py | 6,602 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ.setdefault",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.NamedTuple",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "typing.Any",
... |
10569119427 | from flask import Flask, render_template, url_for, redirect, request
import os
from dotenv import load_dotenv
from api import MatchHistory as MH
from api import LiveGame as LG
from helpers import GenericImages as GI
from helpers import RegionDetails as RD
from helpers import UserID as UID
from helpers import cache
#--... | PurifierRG/LolStats | app.py | app.py | py | 3,282 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
36522551461 | import importlib
import os
import re
import shlex
import shutil
import subprocess
import sys
import time
import unittest
from contextlib import contextmanager
from functools import lru_cache
from tempfile import TemporaryDirectory
from threading import Thread
from typing import (
Any,
Callable,
Dict,
Ge... | kovidgoyal/kitty | kitty_tests/main.py | main.py | py | 10,125 | python | en | code | 20,382 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "importlib.resources.contents",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "importlib.resources.files",
"line_number": 37,
"usage_type": "call"
},
{
"api_... |
8048161809 | from __future__ import absolute_import, division, unicode_literals
from functools import wraps
from future.utils import raise_from
import AddonSignals
from resources.lib.common import exceptions
from resources.lib.globals import G
from resources.lib.utils.logging import LOG, measure_exec_time_decorator
from .misc_ut... | masQelec/repository.masqelec | plugin.video.netflix/resources/lib/common/ipc.py | ipc.py | py | 10,476 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "AddonSignals.registerSlot",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "resources.lib.globals.G.ADDON_ID",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "resources.lib.globals.G",
"line_number": 40,
"usage_type": "name"
},
... |
73874430304 | from astropy.wcs import WCS
import reproject
import numpy as np
import astropy.units as u
from photutils import SkyRectangularAperture
from pathlib import Path
from astropy.io import fits
from astropy.table import Table
import pickle
from astropy.nddata import StdDevUncertainty
from specutils import Spectrum1D
from mul... | drvdputt/PAHFITcube | pahfitcube/wcshacks.py | wcshacks.py | py | 11,209 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "astropy.wcs.WCS",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.mgrid",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": "astropy.units.degree",
"line_number": 99,
"usage_type": "attribute"
},
{
"api_name": "astropy.un... |
36909212065 | from tika import parser
import shutil
import os
import subprocess
from PIL import Image
import pytesseract
import sys
from pdf2image import convert_from_path
from pdf2image.exceptions import (
PDFInfoNotInstalledError,
PDFPageCountError,
PDFSyntaxError
)
from cleanup import cleanUp
import random
headers = ... | vimanyuawal/digitalfingerprint | src/pdfsetup.py | pdfsetup.py | py | 971 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tika.parser.from_file",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tika.parser",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "cleanup.cleanUp",
... |
16418422296 | import functools
from os import path
from sys import argv
class Date(object):
def __init__(self, day, month, year):
self.day = int(day)
self.month = int(month)
self.year = int(year)
if self.year < 100:
self.year = 2000 + self.year
@staticmethod
def is_leap_yea... | daris/date-parser | date.py | date.py | py | 3,013 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "functools.cmp_to_key",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 115,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 119,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"li... |
31340852974 | from discord_components import DiscordComponents
from discord.embeds import EmptyEmbed
from discord.ext.commands import *
from discord.ext import commands
import discord
from aiohttp import ClientSession
from PIL import Image, ImageDraw, ImageFont, ImageOps
from datetime import datetime
import requests
import asyncio... | Espiobest/DiscordBot | bot.py | bot.py | py | 12,135 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"l... |
27771623699 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.core import log as core_log
from googlecloudsdk.core.console.style import text
import six
def _PrintResourceChange(operation,
resource,
... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/core/console/style/log.py | log.py | py | 5,325 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.core.console.style.text.TextTypes.RESOURCE_NAME",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.core.console.style.text.TextTypes",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "googlecloudsdk.core.console.... |
35379037933 | # Steps to follow to get Selenium working in your project:
# run `pip install selenium`
# Add your we driver to the local directory
# `geckodriver.exe` or `chromedriver.exe`
# e.g.: In our case, the driver is in `qa_auto_testing`
# folder as the `functional_test.py` script that uses
# the driver. Once that is compl... | etsu-ninja-pirates/indicator-visualization-tool | qa_auto_testing/functional_tests.py | functional_tests.py | py | 551 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
}
] |
28992789549 | from featuretools.variable_types import Categorical, Numeric, Boolean, Discrete, Index, Id, Datetime, Timedelta, Text
DEFAULT_VARIABLE_TYPES = {
"categorical": Categorical,
"numerical": Numeric,
"boolean": Boolean,
"discrete": Discrete,
"index": Index,
"id": Id,
"datetime": Datetime,
"t... | arshupt/Autofhm | Autofhm/feature/default_types.py | default_types.py | py | 360 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "featuretools.variable_types.Categorical",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "featuretools.variable_types.Numeric",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "featuretools.variable_types.Boolean",
"line_number": 6,
"usage_... |
1326860406 | # %%
#! pip install kaggle --upgrade
#! kaggle --version
#! kaggle competitions download -c ieee-fraud-detection --force
# %%
if __name__ == "__main__":
import pandas as pd
import numpy as np
import os
import sklearn.preprocessing as sk_prep
from sklearn.model_selection import train_... | BenZuckier/portfolio | fraud/prod/train/train.py | train.py | py | 4,632 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
19332534269 | from itertools import chain
from pathlib import Path
import pandas as pd
from allennlp.common import Params
from src.utils.helpers import filter_config, create_parent_dir_if_not_exists
def create_vocab(
train_qa_result_file, val_qa_result_file,
vocab_result_file):
qa_train = pd.read_pickle(train... | festeh/VisualQA | src/data_preprocessing/vocab_creation.py | vocab_creation.py | py | 1,121 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_pickle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
23070496307 | from django.db import models
from django.contrib.contenttypes.fields import GenericForeignKey
from django.contrib.contenttypes.models import ContentType
class SourceCopyist(models.Model):
class Meta:
app_label = "diamm_data"
MUSIC_COPYIST = 1
TEXT_COPYIST = 2
INDEXER = 3
LIMINARY_TEXT = 4... | diamm/diamm | diamm/models/data/source_copyist.py | source_copyist.py | py | 1,641 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 28,
"usage_type": "call"
},
{
"api_name":... |
26070446179 | import bisect
import codecs
import collections as co
import csv
import io
import itertools as it
import math as m
import os
import shlex
import shutil
import time
try:
import inotify_simple
except ModuleNotFoundError:
inotify_simple = None
COLORS = [
'1;34', # bold blue
'1;31', # bold red
'1;32',... | littlefs-project/littlefs | scripts/plot.py | plot.py | py | 53,813 | python | en | code | 4,308 | github-code | 7 | [
{
"api_name": "math.log",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "codecs.escape_decode",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "os.fdopen",
"line_number... |
27765148869 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
import json
from googlecloudsdk.command_lib.anthos.config.sync.common import exceptions
from googlecloudsdk.command_lib.anthos.config.sync.common import utils
from googlecloudsdk.core import log
def ListRe... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/anthos/config/sync/resources/list.py | list.py | py | 7,691 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.command_lib.anthos.config.sync.common.exceptions.ConfigSyncError",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.command_lib.anthos.config.sync.common.exceptions",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "g... |
30749975551 | from utils import Input
from itertools import product
class Seat:
def __init__(self, x, y):
self.x = x
self.y = y
self.occupied = False
self.next_state = None
self.adjacents = []
def evaluate_next_state(self):
self.next_state = None
nb = [1 for _ in sel... | Swannbm/adventofcode | 2020/puzzle_day_11.py | puzzle_day_11.py | py | 2,760 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "utils.Input",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number": 50,
"usage_type": "call"
}
] |
32021767299 | """Atmospheric stability indices.
This module's methods fetch or calculate predictors related to
the stability of the atmosphere against air parcel convection.
"""
import logging
import os
import sys
import re
import pdb
import copy
import metpy.calc as calc
from metpy.units import units
import math
import numpy as ... | NOAA-MDL/CAMPS | camps/libraries/mathlib/stability.py | stability.py | py | 10,282 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "core.Camps_data",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "metpy.units.units.Quantity",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "metpy.units.units",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "logging.... |
12045956419 | from PIL import Image
import requests
image_url = 'https://i.scdn.co/image/ab67616d0000485109fd83d32aee93dceba78517'
def rgb_to565(r, g, b):
msb = ((r >> 3 & 0x1F) << 3) + (g >> 5 & 0x07)
lsb = ((g >> 2 & 0x07) << 5) + (b >> 3 & 0x1F)
return [msb, lsb]
def get_image_bytes(url: str):
image = Image.open... | rakib-shahid/rs4x4 | miscellaneousCode/finalHID/test.py | test.py | py | 701 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
}
] |
73653237984 | # -*- coding: utf-8 -*-
import smtplib
from email.mime.text import MIMEText
import os
import sys
import time
_user = "lengyuenanfeng@163.com"
_pwd = "huangzesang3018"
_to = "1224106361@qq.com"
if __name__ == '__main__':
if len(sys.argv) < 2:
print('Usage: python mail.py process_num [msg]')... | huangzsdy/my_code | python/mail.py | mail.py | py | 1,057 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
4011149598 | import os
import sentencepiece as spm
import tensorflow as tf
from tensorflow.data.experimental import AUTOTUNE
from tensorflow.keras.losses import SparseCategoricalCrossentropy
from tensorflow.keras.metrics import Mean, SparseCategoricalAccuracy
from tensorflow.keras.optimizers import Adam
from sklearn.model_selection... | Masao-Taketani/JPN-EN-Transformer-translator | train.py | train.py | py | 8,422 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.data.Dataset.from_tensor_slices",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "tensorflow.data",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.data.experimental.AUTOTUNE",
"line_number": 72,
"usage_type": ... |
44448690211 | # -*- coding: utf-8 -*-
# Learn more: https://github.com/kennethreitz/setup.py
from setuptools import setup, find_packages
with open('README.md') as f:
readme = f.read()
with open('LICENSE') as f:
license = f.read()
setup(
name='DS18B20',
version='0.1.0',
description='Module for interacting wi... | Wytamma/ds18b20 | setup.py | setup.py | py | 595 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 23,
"usage_type": "call"
}
] |
19950394839 | from flask import render_template, Blueprint, jsonify
from server.Kit import *
pages = Blueprint('pages', __name__)
@pages.route('/', methods=['GET'])
@pages.route('/index.html', methods=['GET','POST'])
def pre_ship():
try:
return render_template('index.html')
except:
return jsonify(**{'message... | aakif-h/JobBoard | server/__init__.py | __init__.py | py | 801 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Blueprint",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_templa... |
4780465476 | import sys
from PIL import Image
# Check syntax
if len(sys.argv) < 3:
print("Usage: convert source dest")
exit(1)
# Pico Display size
w = 240
h = 135
# Load image and convert to RGB
img = Image.open(sys.argv[1])
conv = img.convert("RGB")
# Get bounding box
x1 = 0
x2 = img.width
y1 = 0
y2 = img.height
if (w... | petebeck1/picodisp | convert.py | convert.py | py | 946 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 1... |
26755360473 | import re
from enum import Enum
from typing import Union
from plotly.graph_objects import Figure
class Axis(Enum):
vertical = 0
horizontal = 1
def _plot_threshold(fig: Figure, threshold_op: str,
threshold: Union[float, int], direction: Axis):
'''Draw a dashed line on the target figu... | citadel-ai/langcheck | src/langcheck/plot/_utils.py | _utils.py | py | 1,303 | python | en | code | 67 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
}
] |
74346920542 | """Support for command-line execution using `python -m termvisage`"""
from __future__ import annotations
import logging as _logging
import multiprocessing
import sys
from threading import Event
from term_image.utils import write_tty
from .exit_codes import FAILURE, INTERRUPTED, codes
def main() -> int:
"""CLI... | AnonymouX47/termvisage | src/termvisage/__main__.py | __main__.py | py | 3,616 | python | en | code | 17 | github-code | 7 | [
{
"api_name": "argcomplete.autocomplete",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "parsers.parser",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "logging.QUIET",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "tui.ma... |
70996465503 | import json
import pickle
from typing import Set
def _check_consistency_of_data(json_entry):
for sample in json_entry["samples"]:
if sample["label_cite"] == "context-only":
assert sample["label"] == "context-only", json_entry
elif sample["label_cite"] == "non-check-worthy":
... | Data-Science-2Like/dataset-creation | citeworth/citeworth_dataset.py | citeworth_dataset.py | py | 5,498 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.Set",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 81,
"usage_type": "call"
}
] |
16354295237 | #
# A simple python script to pull down a sounding text file from
# U. Wyoming's website.
#
import sys
import os
import datetime
if len(sys.argv) < 2:
print ('usage: give a date argument as YYYY-MM-DD-HH where HH is 00 or 12')
print (' Time is in UTC = Zulu = Z timezone')
print (' an optional argument i... | BillSimpson/get-sounding | get-sounding.py | get-sounding.py | py | 1,129 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.ar... |
19462888890 | from sqlalchemy import Column, DateTime, String, Integer, ForeignKey, func, Boolean
from sqlalchemy.orm import relationship
from . import Base
class Song(Base):
"""
A Song with the following properties:
"""
__tablename__ = 'song'
id = Column(Integer, primary_key=True)
"""int: primary key"""
... | jasonsbrooks/ARTIST | src/artist_generator/db/song.py | song.py | py | 923 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
43128128857 | from ammo.equilibrium import run_eq_md
from argparse import ArgumentParser
def __main__():
parser = ArgumentParser(description='Run equilibrium MD with BioSimSpace')
parser.add_argument('--duration', type=float, required=True, help='MD simulation duration in ns')
parser.add_argument('--topology', type=str... | michellab/AMMo | ammo/scripts/equilibrium_md.py | equilibrium_md.py | py | 1,131 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "ammo.equilibrium.run_eq_md",
"line_number": 16,
"usage_type": "call"
}
] |
72081093982 | import pygame
from pygame import mixer
import random
pygame.init()
pygame.font.init()
mixer.init()
WIDTH = 640
HEIGHT = 480
SIZE = (WIDTH, HEIGHT)
screen = pygame.display.set_mode(SIZE)
clock = pygame.time.Clock()
mixer.music.load("Snowball Park - Super Mario 3D World.mp3")
mixer.music.set_volume(0.... | Rishab432/christmas | christmas.py | christmas.py | py | 11,980 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.init",
"l... |
4034999078 | import sys, pygame
from Player import Player
from Movement import Movement
from Maze import Maze
from StartMenu import StartMenu
from LevelMenu import LevelMenu
from WinScreen import WinScreen
pygame.init()
screenSize = width, height = 1280, 720
speed = 2, 2
black = pygame.Color(0, 0, 0)
white = pygame.Color(255, 255... | AgusNeira/maze | main.py | main.py | py | 1,913 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"l... |
30066621347 | from django.shortcuts import render, HttpResponseRedirect, HttpResponse
from django.urls import reverse
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from App_Login.models import Follow, UserProfile
from... | rahat-4/Instashohor | Instasohor/App_Login/views.py | views.py | py | 3,875 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "forms.SignupForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "forms.SignupForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponseRedirect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
71660872862 | # algorithms
from .ioutil import splitedDict
from .util import colored
from dataclasses import dataclass, asdict
import re
import inspect
from os import path
from .paths import pth
from . import myhash
_debug = False
_use_cache = True
def split_paragraph(s):
pattern = r"[\n \t\r]"
spliter = re.findall(patte... | TkskKurumi/meow-memo | memo/algorithms.py | algorithms.py | py | 7,478 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.findall",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "inspect.getsource",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
26664027048 | import sys
import time
import argparse
import re
import os
import os.path
from PyQt4.Qt import *
from pybrain.tools.shortcuts import buildNetwork
from pybrain.datasets import ClassificationDataSet
from pybrain.structure.modules import SigmoidLayer
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.uti... | alekseyivashin/character_recognition | brain.py | brain.py | py | 5,487 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pybrain.supervised.trainers.BackpropTrainer",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pybrain.tools.shortcuts.buildNetwork",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pybrain.structure.modules.SigmoidLayer",
"line_number": 26,
... |
32601693543 | # -*- encoding:utf-8 -*-
__date__ = "18/9/18"
__author__ = "jensen"
import os
import shutil
from argparse import ArgumentParser
def video_to_frames(video_path, frames_path, step_size = 20):
if not os.path.exists(frames_path):
os.makedirs(frames_path)
else:
shutil.rmtree(frames_path)
... | jxlin/happy | video/launch_video_detect.py | launch_video_detect.py | py | 1,708 | python | en | code | 1 | github-code | 7 | [
{
"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.rmtree",
"line_num... |
70778525985 | import os
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import figure
from matplotlib.backend_tools import ToolBase
plt.rcParams['toolbar'] = 'toolmanager'
class ToolNext(ToolBase):
description = 'View next data'
image = 'forward'
default_keymap = 'right'
def trigger(self, *... | GKO95/Keras.QuickDraw | viewer.py | viewer.py | py | 2,383 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.backend_tools.ToolBase",
"line_number": 10,
"usage_type": "name"
},
{
... |
41073170669 | from . import peripheral_server
# from peripheral_server import PeripheralServer, peripheral_model
from collections import deque, defaultdict
from .interrupts import Interrupts
import binascii
import struct
import logging
import time
log = logging.getLogger(__name__)
# log.setLevel(logging.DEBUG)
class UTTYInterface... | sandialabs/halucinator | src/halucinator/peripheral_models/utty.py | utty.py | py | 6,183 | python | en | code | 25 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "interrupts.Inter... |
71590146145 | import os, re, sys, traceback
try:
from htmlentitydefs import name2codepoint as n2cp
except:
from html.entities import name2codepoint as n2cp
if sys.version[0] == '2':
is_py3 = False
def py2_decode_utf8( text ):
return text.decode('utf-8', 'ignore')
def py2_encode_utf8( text ):
return text.encode('utf-8',... | archivczsk/archivczsk-doplnky | tools_archivczsk/string_utils.py | string_utils.py | py | 2,579 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "sys.version",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "html.entities.name2codepoint.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "html.entities.name2codepoint",
"line_number": 44,
"usage_type": "name"
},
{
"api... |
40344143001 | from flask import render_template, flash, redirect, url_for, request
from app import app, login, db
from app.forms import (LoginForm, RegistrationForm, EditProfileForm,
NewPostForm)
from app.models import User, Post, PostComment
from flask_login import current_user, login_user, logout_user, ... | myoui/webdev_gunicorn | app/routes.py | routes.py | py | 8,268 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.remove",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "app.app.config",
"line_number... |
18469009294 | # -*- coding:utf-8 -*-
from typing import List
class Solution:
def findSubsequences(self, nums: List[int]) -> List[List[int]]:
nums_len = len(nums)
used = [False for i in range(nums_len)]
ans = []
from copy import deepcopy
def dfs(idx, path):
path_len = len(pat... | weizhixiaoyi/leetcode | everyday/491.递增子序列.py | 491.递增子序列.py | py | 1,113 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "copy.deepcopy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "{'deepcopy': 'copy.deepcopy'}"... |
2224319727 | import sys
from cx_Freeze import setup, Executable
target_script = "GUI.py"
# Create an instance of the Executable class
executable = Executable(
script=target_script,
base="Win32GUI", # "Win32GUI" for a GUI application on Windows
icon=None # Specify the path to icon file
)
# Define additional options... | cmordi/IonTrapTeachingLab | setup.py | setup.py | py | 633 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 21,
"usage_type": "call"
}
] |
73928555103 | import serial
import time
import sqlite3
# Sensor Keys
# 1 = AM2320 humid; 2 = AM2320 temp; 3 = MQ4; 4 = MQ7; 5 = BMP180 pressure;
# 6 = BMP180 temp; 7 = soil temp; 8 = soil moisture
class Getnanoreadings:
def __init__(self):
self.ser = self.connect_to_nano()
@staticmethod
def connect_to_nano():
try:
ser... | astrobenhart/Garden-Monitor | talk_to_nano.py | talk_to_nano.py | py | 1,809 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "serial.Serial",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number"... |
25648546523 | #Queue implemention using Lists/Array
import collections
class Queue:
def __init__(self):
self.items=[]
def enque(self,value):
self.items.append(value)
def deque(self):
return self.items.pop(0)
def Display(self):
print(self.items)
def isEmpty(se... | sivasai321/DataStructure-and-Algorithms | Stack and Queue/QueueImplementing_Array.py | QueueImplementing_Array.py | py | 732 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 32,
"usage_type": "call"
}
] |
39555077326 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
积分墙相关 数据 记录各个设备激活与否的相关信息：
{'ts': 0,
'source': 'yijifen', # 广告平台来源
'callback': 'http://www.baidu.com', # 回调地址
'deviceid': '0C74C2E9F2D0' # 设备标识
'idfa': '99AD5E51-1164-47E4-BF0F-69646AE8F5B6',... | isoundy000/learn_python | learn_backend/views/ad_click.py | ad_click.py | py | 2,765 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "models.code.Adver.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "models.code.Adver",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "game_config.scorewall.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "gam... |
36041762386 | import cv2
import numpy as np
orb = cv2.ORB_create()
# detection
frame1 = cv2.imread("Images/1.png")
frame2 = cv2.imread("Images/2.png")
pts1 = cv2.goodFeaturesToTrack(np.mean(frame1, axis=2).astype(np.uint8), 3000, qualityLevel=0.01, minDistance=7)
pts2 = cv2.goodFeaturesToTrack(np.mean(frame2, axis=2).astype(np.uint... | TuckerBMorgan/Janus | python_zeroconf/featuretest.py | featuretest.py | py | 672 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.ORB_create",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.goodFeaturesToTrack",
"line... |
18477329322 | from PIL import Image
image_file = Image.open('pixil-frame-0.png','r')
convert_RGB_IMAGE = image_file.convert('RGB')
loaded_image = convert_RGB_IMAGE.load()
text_copy = open('menu_copy.txt','a')
def RGB_NUMBER(array_input):
binary_array = []
for number in array_input:
binary_array.append((bin(number)[2:... | IBNU1/EE2026-Final-Project-ZJ-jq | P_T.py | P_T.py | py | 978 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 2,
"usage_type": "name"
}
] |
71309381342 | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the... | openstack/openstacksdk | openstack/cloud/_coe.py | _coe.py | py | 10,887 | python | en | code | 245 | github-code | 7 | [
{
"api_name": "openstack.cloud._utils._filter_list",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "openstack.cloud._utils",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "openstack.cloud._utils._get_entity",
"line_number": 66,
"usage_type": "call"
... |
28482025795 | """Generic functionality related to files and I/O"""
import csv
import email.parser
import email.policy
import hashlib
import os
import re
import zipfile
from dataclasses import dataclass, field
from pathlib import Path
from typing import Iterable, Optional, Pattern, Sequence
@dataclass
class ArchiveMapping:
"""A... | jwilges/drover | drover/io.py | io.py | py | 5,064 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Sequence",
... |
34235970706 | import json
import plotly.graph_objects as go
import datetime
def validate(s,start,end):
s=s.split("-")
start=start.split("-")
end=end.split("-")
d1=datetime.datetime(int(s[0]), int(s[1]), int(s[2]))
d2= datetime.datetime(int(start[0]), int(start[1]), int(start[2]))
d3= datetime.dat... | Ravij22/Javascript | main.py | main.py | py | 1,938 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "plotly.graph_obj... |
16314932526 | import warnings
from copy import deepcopy
from typing import Any, List, Optional, Tuple, Union
import cirq
import numpy as np
import numpy.typing as npt
from cirq.value.linear_dict import _format_coefficient
from mitiq import QPROGRAM
from mitiq.interface import (
CircuitConversionError,
UnsupportedCircuitErr... | unitaryfund/mitiq | mitiq/pec/types/types.py | types.py | py | 10,638 | python | en | code | 300 | github-code | 7 | [
{
"api_name": "mitiq.QPROGRAM",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "numpy.typing.NDArray",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "numpy.typing... |
19319831999 | # From django
from django.test import TestCase
from django.test import Client
# From drf
from rest_framework.reverse import reverse
# From DDF
from ddf import G, N
# From w
from carts.models import Cart
from products.models import Product
class CartModelTest(TestCase):
def test_new_cart_is_empty(self):
... | cap-diego/walen-api | carts/tests.py | tests.py | py | 4,207 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "ddf.N",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "carts.models.Cart",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "ddf.N",
"line_nu... |
71039919583 | import enum
from os import path, remove
from ethereum.utils import denoms
from golem.core.common import timeout_to_string
from golem.core.variables import PICKLED_VERSION
from golem.environments.environment import Environment
from golem.task.taskstate import TaskState
DEFAULT_TIMEOUT = 4 * 3600
DEFAULT_SUBTASK_TIME... | golemfactory/clay | apps/core/task/coretaskstate.py | coretaskstate.py | py | 5,962 | python | en | code | 2,915 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "enum.auto",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 37,... |
32545615061 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from writeToDisk import *
driverLocation = r'/usr/local/bin/chromedriver'
driver = webdriver.Chrome(driverLocation)
driver.get("http://www.python.org")
print(driver.title)
assert "Python" in driver.title
# Go to the search text field
elem... | kz4/Weibo-Crawler | seleniumTest.py | seleniumTest.py | py | 816 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.keys.Keys.RETURN",
"line_number": 19,
"usage_type": "attribute"
},... |
32313277219 | from flask import (
Blueprint, request
)
from flaskr.db import get_db
import json
bp = Blueprint('products', __name__)
@bp.route('/products', methods=('GET', 'POST'))
def products():
if request.method == 'GET':
prod_id = request.args.get('prod_id')
if not prod_id:
return {'status': 'error', 'messag... | modsoussi/sample_flask_app | flaskr/products.py | products.py | py | 1,460 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Blueprint",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.... |
40420323805 | import torch
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
def summarize_text_with_hugging_face(
text, model_name="facebook/bart-large-cnn", max_length=250, min_length=25
):
"""
Summarize the given text using the specified model.
Parameters:
- text (str): The text to sum... | OlofHarrysson/iths-data-engineering-group-midjourney | src/newsfeed/hugging_face_model.py | hugging_face_model.py | py | 934 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "transformers.AutoTokenizer.from_pretrained",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "transformers.pipeline",
"line_number": 21,
"usage_type": "call"
}... |
33089673084 | import pygame as pg
from random import randrange
vec2 = pg.math.Vector2
snake1 = (227, 57, 25)
snake2 = (26, 147, 187)
snake3 = (122, 13, 89)
snake4 = (31, 3, 106)
green = (0, 255, 0)
blue = (0, 0, 255)
yellow = (255, 255, 0)
black = (0, 0, 0)
light_pink = (255, 182, 193)
pink = (255, 105, 180)
dark_pink = (255, 20, ... | fpolatynski/2v2snakeGame | game_objects.py | game_objects.py | py | 7,615 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.math",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.rect.Rect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pygame.rect",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pygame.KEYDOWN",
... |
9818023097 | """Configure for ASCAR DRL Evaluation
Copyright (c) 2016, 2017 The Regents of the University of California. All
rights reserved.
Created by Yan Li <yanli@tuneup.ai>, Kenneth Chang <kchang44@ucsc.edu>,
Oceane Bel <obel@ucsc.edu>. Storage Systems Research Center, Baskin School
of Engineering.
Redistribution a... | Tompkins-liu/rl-lustre | conf.py | conf.py | py | 11,088 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9... |
19232089575 | # coding=utf-8
from unidecode import unidecode
from engine.models.record import *
from engine.modules.data_cleansing.data_cleansing_module import DataCleansingModule
from engine.modules.module import Module
import dateparser
class DateFormatting(DataCleansingModule):
"""
Formatea como date los valores qu... | sevetseh28/data-integration-extensible-framework | api/engine/modules/data_cleansing/date_formatting/module.py | module.py | py | 1,377 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "engine.modules.data_cleansing.data_cleansing_module.DataCleansingModule",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dateparser.parse",
"line_number": 31,
"usage_type": "call"
}
] |
27675983435 | from django.conf.urls import url
from django.contrib.auth.decorators import login_required, permission_required
from . import views, users_pdf
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
url(r'^$', permission_required('userprofile.view_user', login_url... | glosoftgroup/glosoftgroup-django-pos | saleor/dashboard/users/urls.py | urls.py | py | 2,243 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.permission_required",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
... |
39028897100 | import math
import os
import sys
import itertools
import torch
import torch.nn.functional as F
import torch.optim as optim
from envs import create_atari_env
from model import ActorCritic
from torch.autograd import Variable
from torchvision import datasets, transforms
def ensure_shared_grads(model, shared_model):
... | 404akhan/kostya-a3c | train.py | train.py | py | 4,538 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "model.parameters",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "envs.create_atari_env",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "model.ActorC... |
4443854931 | # ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distrib... | V-Sekai/vsekai-blender-game-tools | addons/blenderkit/search.py | search.py | py | 44,467 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "bpy.data",
"line_number": 99,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
"line_n... |
72863076062 | import torch
if torch.__version__ >= '1.8':
import torch_npu
import torch.nn.functional as F
# from SSD import _C as C
import numpy as np
import itertools
from math import sqrt
def calc_iou_tensor(box1, box2):
"""
Calculation of IoU based on two boxes tensor,
Reference to https://github.com/... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/detection/SSD-Resnet/box_coder.py | box_coder.py | py | 16,390 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.__version__",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torch.max",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
74763006941 | '''
Python 3.0
PyLucene 8.11.0
Create Required PyLucene Index
Retrieve Top-K Relevant Document for String Query
'''
# Importing Necessary Libraries
import os
import nltk
import math
from collections import defaultdict
import lucene
from java.io import File
from org.apache.lucene.document import Document, Field, FieldT... | iSiddharth20/Information-Retrieval | Vector-Space-Model-PyLucene/PyLucene_VectorSpaceModel.py | PyLucene_VectorSpaceModel.py | py | 8,328 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "nltk.RegexpTokenizer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "lucene.initVM",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "org.apache... |
19496395469 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib.font_manager import FontProperties # 字体管理器
import matplotlib.patheffects as pe
import matplotlib.cm as cm
import math
from numpy.core.fromnumeric import size
class DrawTransCDF():
def get_tag(self, num):
if self.item_type == 'NULL': # 留空... | OneBST/GGanalysislib | GGanalysislib/DrawImage.py | DrawImage.py | py | 11,052 | python | en | code | 59 | github-code | 7 | [
{
"api_name": "numpy.shape",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
24932621997 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
print("printing")
# In[2]:
run_node_level_XenonPy = False
# In[ ]:
# In[3]:
print("Starting Experiments!")
import numpy as np
import torch
import torch.nn.functional as F
import torch.nn as nn
import torch.distributed as dist
import torch_geometric
import... | alexander-moore/MolecularRepresentation | eric_files/GCL_with_XenonPy.py | GCL_with_XenonPy.py | py | 33,202 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cuda",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "timeit.default_timer",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "GCL.augmentors.NodeDropping",
"line_number": 197,
"usage_type": "call"
},
{
"api_name": "GCL... |
24931532401 | import time
import logging
from autoPyTorch.pipeline.base.pipeline_node import PipelineNode
class FitAutoNet(PipelineNode):
def fit(self, autonet, data_manager, **kwargs):
start_time = time.time()
logging.getLogger('benchmark').debug("Fit autonet")
config, score = autonet.fit(
... | guanlongtianzi/Auto-PyTorch | autoPyTorch/utils/benchmarking/benchmark_pipeline/fit_autonet.py | fit_autonet.py | py | 599 | python | en | code | null | github-code | 7 | [
{
"api_name": "autoPyTorch.pipeline.base.pipeline_node.PipelineNode",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"ap... |
648036365 | from copy import deepcopy
import numpy as np
import math
import itertools
class Board:
def __init__(self, board_h, board_w, initial_board, initial_pos):
self.humansPos = {} # dict of tuple (x, y : nb) indicating positions on board as key and number of units as value
self.vampiresPos = {} # list of... | AlexDuvalinho/AI_Vampire_vs_Werewolves | boards/board_split_smart.py | board_split_smart.py | py | 30,941 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.add",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.sign",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.add",
"line_number": 51,
... |
394651817 | import os
import numpy as np
import torch
from torch.optim import Adam
import gym
import time
import core
from spinup.utils.logx import EpochLogger
from spinup.utils.mpi_pytorch import setup_pytorch_for_mpi, sync_params, mpi_avg_grads
from spinup.utils.mpi_tools import mpi_fork, mpi_avg, proc_id, mpi_statistics_scalar,... | qhFang/AccurateACL | tools/ppo.py | ppo.py | py | 14,149 | python | en | code | 27 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
74831438943 | # Constructing Simple Plots using matplotlib
## Numerical Data
# Line Chart
import matplotlib.pyplot as plt
x_days = [1,2,3,4,5]
y_stock1 = [10,11,10.5,13,14]
y_stock2 = [11,13,12.5,13,15]
plt.title('Stock Prices')
plt.xlabel("Days")
plt.ylabel("Prices")
plt.plot(x_days,y_stock1,label='Stock 1')
... | HrithikRai/Matplotlib-Bible | DataVisualization_matplotlib.py | DataVisualization_matplotlib.py | py | 2,557 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ma... |
43019904927 | # -*- coding: utf-8 -*-
import pygame
import base64
class ScoreBoard():
""" Show the infomation of scores """
def __init__(self, file_name):
""" Init the options """
self._file_name = file_name
self._stats = []
self._hiscore_string = ["" for i in range(6)]
self.read_his... | shallwe999/Explore-Reactor-Room | scoreboard.py | scoreboard.py | py | 3,614 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "base64.b64decode",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 54,
"usage_type": "call"
}
] |
20539276335 | from flask import Flask, render_template, request,jsonify,redirect,session
from flask_uploads import UploadSet, configure_uploads, ALL
import warnings
from save_result import get_result
from flaskext.mysql import MySQL
from glob import glob
import os
import json
warnings.filterwarnings('ignore')
app = Flask(__name__)
f... | simengxin/lungapp | Main.py | Main.py | py | 5,216 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_uploads.UploadSet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_uplo... |
73565313824 | import os
import re
import time
from functools import partial
from collections import OrderedDict
from PyQt5.QtWidgets import QWidgetItem, QMainWindow, QTextEdit, QAction, QToolBar, QPushButton, QHBoxLayout, \
QVBoxLayout, QLabel, QGridLayout, QWidget, QLayout, QLineEdit, QSplitter, QComboBox, QTreeView, QToolTip,... | alexbashkatov6/trial_Project | main_window.py | main_window.py | py | 31,930 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QToolBar",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.walk",
... |
1823388828 | # coding=utf-8
import hashlib
import time
from pyquery import PyQuery as pq
import requests
import json
from flask import request, Response
s = requests.session()
def resume_liepin(db, name, password, customerId, accessToken, tpyeFlag):
url = 'http://www.liepin.com/webUser/login4c.json'
m = hashlib.md5()
... | shiyan123/importResume | modules/res_html/liepin.py | liepin.py | py | 10,087 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "requests.session",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyquery.PyQuery",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pyquery.PyQuery",
"l... |
28272708919 | import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.multiprocessing as mp
import torch.utils
import torch.utils.data.distributed
import torchvision.models as models
from nvidia import dali
from torch.nn.parallel import DistributedDataParallel
from torchvision import datasets
from imagene... | jorisquist/Understanding-WM-HP-in-BNNs | imagenet/step1/train.py | train.py | py | 14,269 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "torch.backends.cudnn.cuda.device_count",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "torch.backends.cudnn.cuda",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "torch.backends.cudnn",
"line_number": 51,
"usage_type": "name"
},... |
6976605543 | from dataclasses import dataclass
@dataclass
class SelectOption:
name: str
id: str
is_disabled: bool
def process_data(options: tuple[str | tuple[str, str], ...]) -> list[SelectOption]:
"""
Processes the given `options` and returns the processed list
:param options: A list of options to proc... | TheItsProjects/ItsPrompt | ItsPrompt/data/select.py | select.py | py | 1,008 | python | en | code | 24 | github-code | 7 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 4,
"usage_type": "name"
}
] |
39032644358 | from fastapi import APIRouter, HTTPException, status
from pydantic import BaseModel
class Trees (BaseModel):
idtree: int
name: str
high: float
trees_list = [
Trees(idtree=1, name="Evano", high=3.45),
Trees(idtree=2, name="Roble", high=5.6),
Trees(idtree=3, name="Arbusto", high=2.0),
Trees(... | AbdielPerezB/Routers | allRouters/router5.py | router5.py | py | 804 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "fastapi.status.HTTP_200_OK",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "f... |
26315072027 | import copy
import torch
class ObservationQueue(list):
"""
FIFO queue for storing observations. The queue is limited to a maximum length.
"""
def __init__(self, maxlen=3):
super().__init__()
self.maxlen = maxlen
def append(self, observation):
if torch.cuda.is_available()... | jwspaeth/ME-8843-Project | me_8843_project/core/ObservationQueue.py | ObservationQueue.py | py | 478 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "copy.deepcopy",
"line_number": 18,
"usage_type": "call"
}
] |
34223865710 | from sys import argv
from textdistance import damerau_levenshtein
import difflib
import ast
def create_pill(node, depth = 0):
'recursively creates a pill that contains every node first letter and `depth` of a node'
resulting_pill = ''
resulting_pill += type(node).__name__[0] + str(depth) + '.'*len(node._fi... | ipsavitsky/pythonprac | 20220314/2/antip.py | antip.py | py | 1,152 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "ast.iter_child_nodes",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ast.parse",
"line_number":... |
5289997208 | import pyspark
from operator import add
sc = pyspark.SparkContext()
def is_good_line(line):
try:
fields = line.split(',')
if len(fields) == 7: # transactions
str(fields[2]) # to_addr
if int(fields[3]) == 0:
return False
elif len(fields) == 5: # contr... | expert02/Ethereum-Analysis | Ethereum Analysis/partD/comparison Analysis/sparkB.py | sparkB.py | py | 1,087 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.SparkContext",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "operator.add",
"line_number": 26,
"usage_type": "argument"
}
] |
70079591582 | #
# Logging class for PyBaMM
# Includes additional logging levels inspired by verboselogs
# https://pypi.org/project/verboselogs/#overview-of-logging-levels
#
# Implementation from stackoverflow
# https://stackoverflow.com/questions/2183233/how-to-add-a-custom-loglevel-to-pythons-logging-facility
#
import logging
def... | emptylkj/PyBaMM | pybamm/logger.py | logger.py | py | 1,725 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.Formatter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.addLevelName",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.ad... |
19840860733 | # azureml-core of version 1.0.72 or higher is required
# azureml-dataprep[pandas] of version 1.1.34 or higher is required
from azureml.core import Workspace, Dataset
import pandas as pd
import numpy as np
import keras
from sklearn.model_selection import train_test_split
from azureml.core.model import Model
# df = pd.r... | nvhoanganh/tennis-schiit | machine-learning/train-keras.py | train-keras.py | py | 2,338 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.models",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "keras.layer... |
19225098359 | import datetime
from django.shortcuts import render
from django.conf import settings
from django.http import HttpResponse
import requests
import redis
from .models import WeiboAccount
# Create your views here.
def weibo_login(request):
app_key = settings.WEIBO_APP_KEY
redirect_uri = settings.WEIBO_REDIRECT_... | NullOnSpace/wb2020 | weibo/auth/views.py | views.py | py | 2,612 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.settings.WEIBO_APP_KEY",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.WEIBO_REDIRECT_URI",
"line_number": 15,
"usage_type": "... |
42000889888 |
import pyspark.sql.functions as f
from shared import extract_data, load_data
from pyspark.sql.window import Window
def analyse_data(raw_primary_person_use_df, raw_units_use_df):
"""
This Function contain the main logic for the analysis
:param raw_primary_person_use_df: Source Primary_person_use Dataframe... | praveenkmr/AccidentAnalysis | jobs/job04.py | job04.py | py | 1,411 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.sql.window.Window",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.lit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions",
"line_number": 15,
"usage_type": "name"
},
{
"api_nam... |
39479558270 | # coding: utf-8
import urllib.request
import json
import ssl
import constant
context = ssl.SSLContext(ssl.PROTOCOL_TLSv1)
class YoutubeAPI():
def get_video_info(self, channel_id, page_token=None, published_after=None):
url = 'https://www.googleapis.com/youtube/v3/search'
params = {
'ke... | shun1218/vtuber-calendar | youtube_api.py | youtube_api.py | py | 1,345 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "ssl.SSLContext",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ssl.PROTOCOL_TLSv1",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "constant.YOUTUBE_API_KEY",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "ur... |
4485393903 | # ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.6.0
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import cv2
import matplotlib.pyplot as plt
import n... | etarho/kxnet | blender/Codes/overlay.py | overlay.py | py | 2,735 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_numb... |
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