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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
24849126049 | import streamlit as st
import pickle
import numpy as np
import pandas as pd
model = pickle.load(open("model.pkl", "rb"))
dt = pickle.load(open("dictionary_map.pkl", "rb"))
st.header("Laptop Price Predictor!!!")
val1 = st.selectbox(
'Company Name',
(dt["company_name"].keys()))
val2 = st.selectbox(
'Proce... | itsguptaaman/Flipkart_Laptop_Price_Prediction | app.py | app.py | py | 1,188 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line... |
15891304933 | from cassandra.cqlengine.query import LWTException
from sanic.views import HTTPMethodView
from app.http import error_response, json_response
from app.utils.request import check_uuid
class ModelBaseView(HTTPMethodView):
model = None
@staticmethod
async def _make_request(data, many=False):
if not ... | Arthur264/music-new.chat | app/utils/view.py | view.py | py | 2,024 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sanic.views.HTTPMethodView",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "app.http.json_response",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "app.http.json_response",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
23411321140 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('clientes', '0006_auto_20150918_2041'),
]
operations = [
migrations.Alt... | pmmrpy/SIGB | clientes/migrations_1/0007_auto_20150918_2045.py | 0007_auto_20150918_2045.py | py | 1,037 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 16,
"usage_type": "call"
},
{... |
6793509891 | from django.db import models
from model_utils.models import TimeStampedModel
from ...conf import settings
from ...managers.consultant_industry import ConsultantIndustryManager
class ConsultantIndustry(
TimeStampedModel
):
consultant = models.ForeignKey(
'consultant.Consultant',
related_n... | tomasgarzon/exo-services | service-exo-core/relation/models/consultant/industry.py | industry.py | py | 771 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "model_utils.models.TimeStampedModel",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 12,
"usage_type": "name"
},
{
"... |
72339753704 | import cv
import cv2
import numpy as np
import math
import time
from os import listdir
ballTargetImgIndex = 0
def quick_scan_cv(configs, autonomyToCV, GCS_TIMESTAMP, CONNECTION_TIMESTAMP):
print("Starting Quickscan CV")
#Set output image folder based on simulation attribute in configs
out_imagef_path = co... | NGCP/VTOL | archives/quick_scan_cv.py | quick_scan_cv.py | py | 13,002 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "cv.init_camera",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv.cv_simulation",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.clock",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_nu... |
40103583521 | import flask
from flask import render_template, request
from definitions import annotation_new
import json
import services.correspondence_service as cs
import services.query_service as qs
import services.equivalence_class_service as em
import services.rotation_service as rs
import services.center_service as ccs
import ... | sridevan/correspondence_server | corr_server/views/correspondence_views.py | correspondence_views.py | py | 23,793 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "infrastructure.process_input.input_type",
"line_number": 289,
"usage_type": "call"
},
{
"api_name": "infrastructure.process_input",
"line_number": 289,
"usage_type": "name"
},
{... |
32635863663 | # -*- coding:utf-8 -*-
import os
import cv2
import numpy as np
import torch.utils.data as data
kernel = np.ones((3, 3), np.uint8)
infinite = 1e-10
INF = 1e-3
def make_dataset(root):
imgs = []
count = 0
for i in os.listdir(root):
count += 1
img = os.path.join(root, i)
... | 1528219849/DFETS-Net | data_handle/dataset_eval.py | dataset_eval.py | py | 1,048 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ones",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
18915731113 | import pytest
from src.unique_morse_code_words import Solution
@pytest.mark.parametrize(
"word,expected",
[
("gin", "--...-."),
("msg", "--...--."),
],
)
def test_to_morse(word, expected):
assert Solution().to_morse(word) == expected
@pytest.mark.parametrize(
"words,expected",
... | lancelote/leetcode | tests/test_unique_morse_code_words.py | test_unique_morse_code_words.py | py | 501 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "src.unique_morse_code_words.Solution",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_n... |
3650309290 | import psycopg2
import os
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(__file__), '../.env')
load_dotenv(dotenv_path)
def connect():
return psycopg2.connect(
host=os.environ.get('ENV_host'),
database=os.environ.get('ENV_database'),
user=os.env... | dapt4/taskapp-flask-angular-postgres | backend/db/connect_db.py | connect_db.py | py | 876 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"... |
41893805327 | # pylint: disable=F0401
from dataclasses import dataclass
from functools import reduce
from itertools import chain, combinations, islice, tee
from typing import Iterator, Optional, Union
from utils import read_input
@dataclass
class SnailNode:
val: Optional[int] = None
left: Optional["SnailNode"] = None
... | hsherkat/AOC2021 | day18.py | day18.py | py | 5,244 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
... |
27473837054 | """A modern skeleton for Sphinx themes."""
__version__ = "1.0.0.dev2"
from pathlib import Path
from typing import Any, Dict
from sphinx.application import Sphinx
_THEME_PATH = (Path(__file__).parent / "theme" / "basic-ng").resolve()
def setup(app: Sphinx) -> Dict[str, Any]:
"""Entry point for sphinx theming."... | pradyunsg/sphinx-basic-ng | src/sphinx_basic_ng/__init__.py | __init__.py | py | 532 | python | en | code | 26 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sphinx.application.Sphinx",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"... |
1701452870 | from pathlib import Path
class contextmanager:
def __init__(self, filepath="", mode="r"):
self.filepath=filepath
self.mode=mode
def __enter__(self):
try:
if self.mode not in ["w", "a", "r"]:
raise ValueError
except ValueError:
self.mode=i... | love2kick/Learn_Python_Homeworks | HW7/01_fileworker.py | 01_fileworker.py | py | 1,222 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
}
] |
2894204249 | from typing import List
from src.dialog.common.Dialog import Dialog
from src.dialog.common.DialogContainer import DialogContainer
from src.dialog.common.DialogFactory import DialogFactory
from src.dialog.common.form_doc.FormDocFuncs import FormDocFuncs
from src.docs_publisher.common.DocsPublisher import DocsPublisher
... | andreyzaytsev21/MasterDAPv2 | src/dialog/common/form_doc/FormDocContainer.py | FormDocContainer.py | py | 1,917 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.dialog.common.DialogContainer.DialogContainer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.dialog.common.form_doc.FormDocFuncs.FormDocFuncs",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "src.dialog.common.DialogFactory.DialogFact... |
35659485468 | """The services validators test module."""
import pytest
from django.core.exceptions import ValidationError
from django.db.models import QuerySet
from moneyed import EUR, USD, Money
from services.models import Service
from services.validators import (validate_service_location,
validat... | webmalc/d8base-backend | services/tests/validators_tests.py | validators_tests.py | py | 1,855 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.db.models.QuerySet",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "services.models.first",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "serv... |
70116366823 |
# coding: utf-8
# # Assignment 2
#
# Before working on this assignment please read these instructions fully. In the submission area, you will notice that
# you can click the link to **Preview the Grading** for each step of the assignment. This is the criteria that will be used
# for peer grading. Please familiarize ... | dimaggiofrancesco/DATA_VISUALISATION-UK-climate-record | UK daily climate record.py | UK daily climate record.py | py | 9,092 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pandas.merge",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
... |
26723585229 | import allure
import pytest
from models.Enpoints import ReqresInEndpoint
from models.Register import RegisterRequest, RegisterResponseSuccess, RegisterResponseError
from models.Resource import Resource
from models.User import User
@pytest.mark.reqres_in
@allure.suite(
suite_name="Test-suite №1"
)
@allure.severit... | eugenereydel99/pyrequests_api_automation_testing | test_reqres_in.py | test_reqres_in.py | py | 3,511 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.Enpoints.ReqresInEndpoint.list_of_users",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "models.Enpoints.ReqresInEndpoint",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "models.User.User",
"line_number": 21,
"usage_type": ... |
73444085223 | from django import template
register = template.Library()
@register.simple_tag
def get_months():
return [
(1, 'Enero'),
(2, 'Febrero'),
(3, 'Marzo'),
(4, 'Abril'),
(5, 'Mayo'),
(6, 'Junio'),
(7, 'Julio'),
(8, 'Agosto'),
(9, 'Septiembre'),
... | feldmatias/stockAmbosMG | Base/templatetags/get_months.py | get_months.py | py | 403 | python | es | code | 1 | github-code | 36 | [
{
"api_name": "django.template.Library",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 3,
"usage_type": "name"
}
] |
12435354493 | """
104. Maximum Depth of Binary Tree
Given the root of a binary tree, return its maximum depth.
A binary tree's maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Example 1:
Input: root = [3,9,20,null,null,15,7]
Output: 3
Example 2:
Input: root = [1,... | ashishkssingh/Leetcode-Python | Algorithms/Easy/maximum_depth_of_binary_tree.py | maximum_depth_of_binary_tree.py | py | 1,499 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 46,
"usage_type": "name"
}
] |
36837926119 | from __future__ import annotations
import dataclasses
import bson.json_util as json
import seaborn as sns
import pandas as pd
from sklearn.metrics import r2_score
from sklearn.linear_model import LinearRegression
import statsmodels.api as sm
from database_instance import DatabaseInstance
import execution_tree as sbe
im... | mongodb/mongo | buildscripts/cost_model/experiment.py | experiment.py | py | 5,682 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "database_instance.DatabaseInstance",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "execution_tree.build_execution_tree",
"line_number": 20,
"usage_type": "call"
},
... |
4686279397 | import time
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import gdal
from LRSMSingleVersion.CONST.CONST import *
from LRSMSingleVersion.UILayer.Workbench.BorderItem import BorderItem
class GraphicsView(QGraphicsView):
CLICK_INVERT_TIME = 1.2
def __init__(self, parent=N... | yiyexingyu/LRSMSingleVersion | UILayer/Workbench/GraphicsView.py | GraphicsView.py | py | 5,810 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "gdal.AllRegister",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "gdal.SetConfigOption",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "gdal.Open",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "gdal.GA_ReadOnly",
... |
15760657167 | from datetime import datetime
#Server File
import time
import socket
import threading
import sys
import json
from connection_obj import *
from organisation import *
from session import *
# from Encryption import encrypt_message
import re
import random
import string
# from serverTest import *
import base64
from casEncr... | casgaindustries/Project | bank.py | bank.py | py | 6,574 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "socket.socket",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "json.loads"... |
39062464656 | import sqlite3
conn = sqlite3.connect('D:\pythonPRJ\kgitbankPython\sqliteTest\example.db')
c = conn.cursor()
data = [
('2020-03-07','buy','rhat',100,35.14),
('2020-02-09','buy','net',80,24.95),
('2020-03-05','buy','com',54,220.55),
('2020-01-18','buy','rhat',210,35.14)
]
sql = """insert... | Yun4e/mm | sqliteTest/sqliteTest4.py | sqliteTest4.py | py | 410 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
19739680799 | from __future__ import absolute_import
import socket
try:
import netifaces
except ImportError:
netifaces = None
from pkg_resources import working_set
from vigilo.common.logging import get_logger
LOGGER = get_logger(__name__)
from vigilo.common.gettext import translate
_ = translate(__name__)
from vigilo.vig... | vigilo/vigiconf | src/vigilo/vigiconf/lib/server/factory.py | factory.py | py | 5,047 | python | fr | code | 3 | github-code | 36 | [
{
"api_name": "vigilo.common.logging.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "vigilo.common.gettext.translate",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "netifaces.interfaces",
"line_number": 58,
"usage_type": "call"
},
{
... |
37309146962 | import pyaudio
import wave
import sys
import time
'''
init初始化的时候，time:要录制的时间，path：保存音频的路径及名称
record_audio:运行一次录制一段时长为time的音频
play_time:运行一次播放一段音频， 这里注意也要传入一个路径
'''
class Audio:
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
@staticmethod
def record_audio(time, path):
... | imppppp7/time | Training/Audio.py | Audio.py | py | 2,408 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_... |
74408545383 | from birdnetlib.watcher import DirectoryWatcher
from birdnetlib.analyzer_lite import LiteAnalyzer
from birdnetlib.analyzer import Analyzer
import os
from collections import namedtuple
from mock import patch, Mock
def test_watcher_complete():
analyzer = Analyzer()
analyzer_lite = LiteAnalyzer()
directory ... | joeweiss/birdnetlib | tests/test_watcher_both_analyzers.py | test_watcher_both_analyzers.py | py | 2,567 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "birdnetlib.analyzer.Analyzer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "birdnetlib.analyzer_lite.LiteAnalyzer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "birdnetlib.watcher.DirectoryWatcher",
"line_number": 14,
"usage_type":... |
23410231690 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
class Migration(migrations.Migration):
dependencies = [
('bar', '0322_auto_20161010_1636'),
]
operations = [
migrations.AlterField(
model_name='caja',
... | pmmrpy/SIGB | bar/migrations/0323_auto_20161013_1959.py | 0323_auto_20161013_1959.py | py | 1,192 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
4423364183 | import tempfile
from os import path, sep
from django import forms
from django.forms.util import ErrorList
from django.conf import settings
from django.template.loader import render_to_string
from transhette import polib, poutil
PO_PROJECT_BASE = 'po_project_base'
class FormAdminDjango(forms.Form):
def as_dja... | buriy/django-transhette | transhette/forms.py | forms.py | py | 5,327 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "django.forms.Form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 18,
"usage_type": "call"
},
{
"api_n... |
4449615890 | import tensorflow as tf
import tensorflow_datasets as tfds
import numpy as np
from tensorflow import keras
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
imdb,info = tfds.load("imdb_reviews",with_info=True, as_supervised=True)
train_data,test_data = imdb['train']... | Atharva500/imdbReviews | imdb_reviews.py | imdb_reviews.py | py | 2,348 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow_datasets.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.t... |
25358805817 | '''
Created on 2018年11月21日
@author: Jacky
'''
from random import randint
from collections import Counter
from pip._vendor.msgpack.fallback import xrange
import re
data = [randint(60,100) for _ in xrange(30)]
dt1 = dict.fromkeys(data, 0)
print(dt1)
for x in data:
dt1[x]+=1
print(dt1)
lst = sort... | jackyzhou2k/jackypy | lesson2/le23.py | le23.py | py | 579 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "random.randint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pip._vendor.msgpack.fallback.xrange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name":... |
31070431709 | import xlsxwriter
from tkinter import *
from openpyxl import load_workbook
myFileName = 'decmo.xlsx'
# load the workbook, and put the sheet into a variable
wb = load_workbook(filename=myFileName)
newRowLocation = 1
global index
index = 1
def functionate():
v = e.get()
vv = f.get()
d ... | utsabbuet17/My-Wallet | xl (1).py | xl (1).py | py | 2,168 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 8,
"usage_type": "call"
}
] |
34589390018 | from django.shortcuts import render, get_object_or_404
from django.http import Http404, HttpResponseRedirect, HttpResponse
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.views import generic
from django.contrib.auth.models import User
import nfldb
import json
from .models import T... | seniark/ppr_oracle | football/views.py | views.py | py | 8,192 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nfldb.connect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nfldb.Q... |
73261011945 | from math import *
import numpy as np
import matplotlib.pyplot as plt
import scipy
class DataGenerator:
def __init__(self, Length=1000*1e3, Bandwith=10*1e9, power_loss_db=0.2, dispersion=17e-6, Gamma=1.27*1e-6,
nsp=1, h=6.626*1e-34, lambda0=1.55*1e-6, T=65, N=2**11, number_symbols=3, p=0.5,M=16)... | hadifawaz1999/dnn-4-of | data.py | data.py | py | 7,383 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.fft.fftfreq",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.fft",
"line_num... |
16172958687 | """ This script is an example of benchmarking the continuous mlp baseline."""
import datetime
import os
import os.path as osp
import random
from baselines.bench import benchmarks
import dowel
from dowel import logger as dowel_logger
import gym
import pytest
import tensorflow as tf
from metarl.envs import normalize
fr... | icml2020submission6857/metarl | tests/benchmarks/metarl/tf/baselines/test_benchmark_continuous_mlp_baseline.py | test_benchmark_continuous_mlp_baseline.py | py | 4,736 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "tensorflow.nn",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "baselines.bench.benchmarks.get_benchmark",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "baselines.bench.benchmarks",
"line_number": 69,
"usage_type": "name"
},
{... |
30013425796 | #!/usr/bin/env python3
import os
import os.path as op
import json
import logging
from gear_toolkit import gear_toolkit_context
from utils import args
log = logging.getLogger(__name__)
def main(context):
# Build and Execute Parameters
try:
# build the command string
params = args.build(conte... | flywheel-apps/pydeface-gear | run.py | run.py | py | 901 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.args.build",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.args",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "utils.args.execute",
... |
28808155062 | import interface as bbox
import theano
import numpy as np
import theano.tensor as T
import lasagne
import time
def prepare_agent(in_state=None):
net = lasagne.layers.InputLayer(shape=(1,n_features),input_var=in_state)
net = lasagne.layers.DenseLayer(net,num_units=300,nonlinearity=lasagne.nonlinearities.tanh)
... | EladMichael/BlackBoxChallenge | testnet.py | testnet.py | py | 2,956 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "lasagne.layers.InputLayer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "lasagne.layers",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "lasagne.layers.DenseLayer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
27649475161 | from PySide2.QtGui import QColor, QLinearGradient, QPen, QBrush, QFont
HOVERED_SCALE = 1.2
EPSILON = 0.0001
SHAPE_STEPS = 100
ADD_MARKER_RADIUS = 7.0
ADD_MARKER_COLOR = (166, 210, 121)
SNAPPING_DISTANCE = 8.0
SHAPE_GRADIENT = QLinearGradient()
SHAPE_GRADIENT.setColorAt(0, QColor(165, 165, 165, 15))
SHAPE_GRADIENT.se... | igor-elovikov/hou-ramped | scripts/python/ramped/settings.py | settings.py | py | 549 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "PySide2.QtGui.QLinearGradient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySide2.QtGui.QColor",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PySide2.QtGui.QColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
10713087368 | import matplotlib.pyplot as plt
import numpy as np
from learn_seq.controller.base import TaskController
from learn_seq.utils.general import saturate_vector
from learn_seq.utils.mujoco import quat2vec, quat_error
class HybridController(TaskController):
"""Simulated parallel hybrid force/position controller, where... | deanpham98/learn-seq | learn_seq/controller/hybrid.py | hybrid.py | py | 6,567 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "learn_seq.controller.base.TaskController",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy... |
5673773090 | from abc import ABC, abstractmethod
from typing import List, Optional
from rlf.forecasting.data_fetching_utilities.coordinate import Coordinate
from rlf.forecasting.data_fetching_utilities.weather_provider.api.models import Response
class BaseAPIAdapter(ABC):
"""Abstract base class for APIAdapter objects"""
... | orion-junkins/river-level-forecasting | src/rlf/forecasting/data_fetching_utilities/weather_provider/api/base_api_adapter.py | base_api_adapter.py | py | 2,430 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "abc.ABC",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "rlf.forecasting.data_fetching_utilities.coordinate.Coordinate",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
},
{
... |
40751308459 | from pyrogram import Client, filters, enums
from pyrogram.types import InlineKeyboardButton, InlineKeyboardMarkup
from config import ADMIN
@Client.on_message(filters.command("start") & filters.private)
async def start_cmd(bot, msg):
txt="ᴛʜɪs ɪs ᴘᴇʀsᴏɴᴀʟ ᴜsᴇ ʙᴏᴛ 🙏. ᴅᴏ ʏᴏᴜ ᴡᴀɴᴛ ʏᴏᴜʀ... | dor3Monbotz/CrownSimpleRenamerBot | main/start_text.py | start_text.py | py | 3,663 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pyrogram.types.InlineKeyboardMarkup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pyrogram.types.InlineKeyboardButton",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyrogram.types.InlineKeyboardButton",
"line_number": 12,
"usage_ty... |
28630612376 | """volume_desc_length
Revision ID: 3719cf217eb9
Create Date: 2021-08-09 01:48:21.855229
"""
from alembic import op # noqa
import sqlalchemy as sa # noqa
import datetime # noqa
# revision identifiers, used by Alembic.
revision = '3719cf217eb9'
down_revision = '538bac81c28a'
branch_labels = None
depends_on = None
... | hashipod/icebox | core/icebox/dba/versions/0030_volume_desc_length.py | 0030_volume_desc_length.py | py | 560 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "alembic.op.alter_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.String",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op.alter... |
37753053291 | # %%
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Flatten
from tensorflow.keras.layers import Conv2D, MaxPooling2D, Activation, BatchNormalization
from tensorflow.keras.layers import GlobalAveragePooling2D
from tensorflow.keras.utils import to_categorical
from tenso... | sofgutierrez6/Parcial-2-Machine | Proyecto2_Gutiérrez_Guatibonza.py | Proyecto2_Gutiérrez_Guatibonza.py | py | 10,228 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.scandir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pyedflib.EdfReader",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pyedflib.EdfRea... |
34564591070 | import logging
import requests
from requests_cache import CachedSession
# Cached requests
rc = CachedSession(
"intrusion_monitor_http_cache", backend="sqlite", use_temp=True, expire_after=604800
)
def url_builder(ip, fields_id=66846719, base_url=False):
"""
The parameter `fields_id` encodes the followin... | afonsoc12/intrusion-monitor | intrusion_monitor/api.py | api.py | py | 2,088 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "requests_cache.CachedSession",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "logging.error... |
7529076841 | import sys
from time import sleep
import serial
def touchForCDCReset(port="/dev/ttyACM0", *args, **kwargs):
"""Toggle 1200 bps on selected serial port to force board reset.
See Arduino IDE implementation:
https://github.com/arduino/Arduino/blob/master/arduino-core/src/processing/app/Serial.java
https... | ysard/libre-printer | firmware/restart_interface.py | restart_interface.py | py | 1,145 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "serial.Serial",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "serial.EIGHTBITS",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "serial.ST... |
73850400103 | import requests
from pprint import pprint
url = 'http://api.giphy.com/v1/gifs/search?api_key=4i1aScgdTDrEGFZuIltFlaHACRS0QWA6&q=경찰&limit=1'
url2 = ''
data = requests.get(url).json()
new_url = data['data'][0]['images']['downsized']['url']
pprint(data['data'][0]['images']['downsized']['url']) | blueboy1593/Django | Django_crud/연습.py | 연습.py | py | 299 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pprint.pprint",
"line_number": 11,
"usage_type": "call"
}
] |
42005693188 | from pyspark.sql import SparkSession
from pyspark import SparkContext, SparkConf
from pyspark.sql.functions import col, udf
from pyspark.sql.types import IntegerType, BooleanType, NullType, StringType
import os
from credentials import *
# Adding the packages required to get data from S3
os.environ["PYSPARK_SUBMIT_AR... | meedaycodes/pinterest-data-processing-pipeline | batch_processing.py | batch_processing.py | py | 3,678 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyspark.SparkConf",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.Sp... |
14963556209 | #!/usr/bin/env python3
import serial
import sys
import argparse
import logging
from logging.config import fileConfig
fileConfig('log.ini', defaults={'logfilename': 'bee.log'})
logger = logging.getLogger('openscale')
if sys.version_info<(3,4,2):
sys.stderr.write("You need python 3.4.2 or later to run this script\n... | jenkinsbe/hivekeepers | get_weight.py | get_weight.py | py | 4,093 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.config.fileConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.... |
74114075623 | import frappe,json
@frappe.whitelist()
def get_receipt_shipments(doc):
doc=json.loads(doc)
shipments=[]
for receipt in doc.get('purchase_receipts'):
for receipt_item in frappe.get_all("Purchase Receipt Item",filters={"parent":receipt.get("receipt_document")},fields=["purchase_order"],group_by="purchase_order"):
... | Bizmap-Technologies-Pvt-Ltd/mfi_customization- | mfi_customization/mfi/doctype/landed_cost_voucher.py | landed_cost_voucher.py | py | 4,299 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "frappe.get_all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "frappe.get_all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "frappe.get_all",
"line_numb... |
5775145740 | from flask import abort, request
from flask.ext.login import login_required
from webargs import fields
from webargs.flaskparser import use_args
from bauble.controllers.api import api
import bauble.db as db
from bauble.models import Accession, Location, Plant
from bauble.middleware import use_model
import bauble.utils ... | Bauble/bauble.web | bauble/controllers/api.OLD/plant.py | plant.py | py | 4,481 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "bauble.models.Plant.query.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bauble.models.Plant.query",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "bauble.models.Plant",
"line_number": 16,
"usage_type": "name"
},
{
"... |
39845448432 | """
Iguana (c) by Marc Ammon, Moritz Fickenscher, Lukas Fridolin,
Michael Gunselmann, Katrin Raab, Christian Strate
Iguana is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.
You should have received a copy of the license along with this
work. If not, see <http://creativecommons.org... | midas66/iguana | src/tag/forms.py | forms.py | py | 1,352 | python | en | code | null | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tag.models.Tag",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "common.widgets.CustomAutoCompleteWidgetSingle",
"line_number": 26,
"usage_type": "call"
},
{
... |
29403672645 | # -*- coding: utf-8 -*-
"""
Django settings for Rovercode Web project.
For more information on this file, see
https://docs.djangoproject.com/en/dev/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/dev/ref/settings/
"""
from __future__ import absolute_import, unico... | rovercode/rovercode-web | config/settings/common.py | common.py | py | 12,431 | python | en | code | 14 | github-code | 36 | [
{
"api_name": "environ.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "environ.Env",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlparse",
"line_number": 220,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
... |
137629276 | from silence_tensorflow import silence_tensorflow
import tensorflow as tf
from tensorflow.keras import layers, Model, models, Input, regularizers, initializers
from tensorflow.keras import backend as K
import numpy as np
import matplotlib.pyplot as plt
import glob
import imageio
import os
import time
import datetime
im... | shimihirouci/Improve_Imagination | Training_GAN.py | Training_GAN.py | py | 23,218 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "silence_tensorflow.silence_tensorflow",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.config.run_functions_eagerly",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.config",
"line_number": 19,
"usage_type": "attri... |
28518466371 | from flask import Blueprint, render_template, request, redirect
from database import mysql
# blueprint setup
update = Blueprint('update', __name__)
@update.route('/update')
def default():
book = {}
book['id'] = request.args.get('id')
book['name'] = request.args.get('name')
return render_template('... | micahluedtke/engineering_computation_data_science | HomeworkFour/withblueprint/update.py | update.py | py | 650 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
9470051726 | import os
import numpy as np
from os.path import isfile
import torch
import torch.nn.functional as F
EPS = 1e-6
def assert_same_shape(t1, t2):
for (x, y) in zip(list(t1.shape), list(t2.shape)):
assert(x==y)
def print_stats_py(name, tensor):
print('%s (%s) min = %.2f, mean = %.2f, max = %.2f' % (name, ... | ayushjain1144/SeeingByMoving | frustum_pointnet/kitti/utils_basic.py | utils_basic.py | py | 12,301 | python | en | code | 22 | github-code | 36 | [
{
"api_name": "numpy.min",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.unbind",
"line_number": 28,
... |
16731252114 | '''
Table of Contents
Functions and Interdependencies:
proj
orthogonalize
- proj
OLS
EV
pairwise_similarity
best_permutation
- pairwise_similarity
self_similarity_pairwise
- best_permutation
'''
import numpy as np
import scipy.optimize
# import sklearn.decomposition
... | RichieHakim/basic_neural_processing_modules | bnpm/similarity.py | similarity.py | py | 31,408 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.ndarray",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "opt_einsum.contract",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.linalg... |
6674479915 | import logging
from typing import Type, Tuple, Dict, List
import itertools
from collections import OrderedDict
import torch
import dace
from dace import data as dt
from daceml.autodiff.backward_pass_generator import BackwardPassGenerator
from daceml.autodiff.base_abc import AutoDiffException, BackwardResult
from dac... | spcl/daceml | daceml/autodiff/torch.py | torch.py | py | 5,716 | python | en | code | 69 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "daceml.onnx.onnx_importer.ONNXModel",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "dac... |
9875076956 |
from typing import List
def add_border(picture: List[str]) -> List[str]:
longest = len(max(picture, key=len))
unframed = [
'* ' + s + f"{' ' * (longest - (len(s)-1))}*"
if len(s) < longest
else f"* {s} *"
for s in picture
]
edge = '*' * (longest + 4)
pad = f"*{'... | barkdoll/100-algo | addBorder/add_border.py | add_border.py | py | 687 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
35300873562 | import os
import sys
import argparse
import logging
from pyspark.sql.functions import col, when
from pyspark.sql import SparkSession
from table_mappings import get_schema_struct, get_column_name_diff, get_primary_key
def _get_config(argv):
parser = argparse.ArgumentParser()
parser.add_argument('--host', dest='... | carlosborgesreis/CarlosBorges-data-coding-interview | challenge1/pyspark/load_dw.py | load_dw.py | py | 2,969 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath"... |
32854853808 | from ProjectUtils import *
from gym import spaces
from gym.utils import seeding
import numpy as np
from math import floor
import gym
from keras.models import Sequential, Model
from keras.layers import Dense, Activation, Flatten, Input, Concatenate, LSTM
from keras.optimizers import Adam
from pandas.plotting import re... | GoldwinXS/TradingBot | TradingAgent.py | TradingAgent.py | py | 20,141 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.plotting.register_matplotlib_converters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.isfinite",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "gym.Env",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_na... |
69955469226 | from setuptools import setup
from pybind11.setup_helpers import Pybind11Extension, build_ext
ext_modules = [
Pybind11Extension(
"harmonica/bindings",
[
'harmonica/orbit/kepler.cpp',
'harmonica/orbit/trajectories.cpp',
'harmonica/orbit/gradients.cpp',
... | DavoGrant/harmonica | setup.py | setup.py | py | 1,523 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "pybind11.setup_helpers.Pybind11Extension",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pybind11.setup_helpers.build_ext",
"line_number": 34,
"usage_type": "name"
}
] |
4013429702 | # 문제 출처 : https://www.acmicpc.net/problem/1021
from sys import stdin
from collections import deque
n, p = map(int, stdin.readline().split())
arr = list(map(int, stdin.readline().split()))
deque = deque([i for i in range(1, n+1)])
count = 0
for num in arr:
if deque[0] == num:
deque.popleft()
cont... | ThreeFive85/Algorithm | Algorithm_type/Queue0rDeque/rotatingQueue/rotating_queue.py | rotating_queue.py | py | 633 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sys.stdin.readline",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sys.stdin.readline",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_nu... |
10309070734 | from configparser import ConfigParser
from multiprocessing import Pool
import os
import sys
if len(sys.argv) != 2:
print('Arguments: config')
sys.exit(-1)
cp = ConfigParser()
with open(sys.argv[1]) as fh:
cp.read_file(fh)
cp = cp['config']
nb_classes = int(cp['nb_classes'])
dataset = cp['dataset']
random_... | GregoirePetit/FeTrIL | codes/prepare_train.py | prepare_train.py | py | 1,440 | python | en | code | 35 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_n... |
37288735237 | import os
import cv2
import numpy as np
from keras.models import load_model
from keras.utils import to_categorical
# Define the path to the FER-2013 test dataset directory
test_data_path = "/content/Dissertation-Project/dataset/test"
# Define the list of emotions and their corresponding labels
emotion_labels = {
... | alex-nazemi/Dissertation-Project | test_model.py | test_model.py | py | 1,831 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 25,
"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": "os.path.isdir",
"line_number... |
15450209554 | import requests
from bs4 import BeautifulSoup
from time import sleep
movie_links_id = []
for z in range(10):
print(z)
url_1 = f"https://www.kinoafisha.info/rating/movies/?page={z}"
sleep(5)
r_1 = requests.get(url_1, timeout=5)
soup_1 = BeautifulSoup(r_1.text, 'lxml')
films = soup_1.find_all(... | VitOsGG/parser_movie | pars_movie_id.py | pars_movie_id.py | py | 525 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
}
] |
32983223303 |
# basics
import argparse
import os
import pickle
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
# sklearn imports
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.neighbors import NearestNeighbors
from sklearn.preprocessing import normalize
# our code
import... | akshi96/Coursework | CPSC340 - Machine Learning/a3/code/main.py | main.py | py | 8,956 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"... |
26236122257 | # python -m pip install -r .\requirements.txt
# python .\merge.py .\annotatedPdfs\ final.pdf
import PyPDF2
import os
import sys
def merge_pdfs(pdf_dir, output_filename):
pdf_writer = PyPDF2.PdfWriter()
# Get all PDF files in the given directory
files = [os.path.join(pdf_dir, file) for file in os.listdir(... | lalibi/annotate-merge | merge.py | merge.py | py | 970 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PyPDF2.PdfWriter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_numb... |
3581458900 | # Import necessary libraries
import openai
import sys
import json
import html
import re
import ssl
import os
import pprint
import nltk
import requests
import time
if not nltk.data.find('tokenizers/punkt'):
nltk.download('punkt', quiet=True)
# Get the first command line argument
location = sys.argv[1]
sku = sys.a... | menached/ai_product_updater | fetch-first-push-to-rest.py | fetch-first-push-to-rest.py | py | 8,235 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.data.find",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "nltk.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_numb... |
13368558436 | # In[1]:
import os
import sys
import random
import math
import re
import time
import numpy as np
import cv2
import matplotlib
import matplotlib.pyplot as plt
import pdb
from PIL import Image
# Root directory of the project
ROOT_DIR = os.path.abspath("../")
# Root directory of the dataset
DATA_DIR = '../images/trash_te... | BoSmallEar/Roberto | roberto_mask_rcnn/src/test_roberto.py | test_roberto.py | py | 10,913 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_num... |
18562474998 | from django.shortcuts import render, redirect, render_to_response
from django.http import HttpResponse, HttpResponseRedirect
from django.template import Context
from todo.models import ToDo
from django.contrib.auth.models import User
from todo.forms import ToDoForm, AddUserForm, AddRecurringToDoForm, TransferToDoDate... | mscs-jpslaanan/project | todo/views.py | views.py | py | 11,185 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.core.context_processors.csrf",
"line_number": 25,
"usage_type": "call"
},
{
... |
37918714311 | from django.http import Http404, HttpResponseRedirect
from django.shortcuts import render_to_response, get_object_or_404
from models import Meuble, CommandeParticulier, CommandeProfessionnel
from forms import MeubleQuantiteListForm, ParticulierContactForm, MeubleQuantiteFormSet, ProfessionnelContactForm
from django.tem... | austing/Hakim | hakim/moving/views.py | views.py | py | 3,298 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "forms.ParticulierContactForm",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "forms.MeubleQuantiteFormSet",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 23,
"usage_type": "call"
... |
5475708388 | import PIL.ImageGrab
import PIL.ImageOps
import PIL.ImageStat
from PIL import Image
import pytesseract
import numpy
import os
import time
import win32api, win32con
import skimage
import msvcrt
## IF SOMETHING GOES WRONG IT PROBABLY BECAUSE YOU LEVELED AND EMPTY TILE NO LONGER READ 'ae'
pytesseract.pytesseract.tesser... | FridayNguyen/UnderlordsAutomaton | automaton.py | automaton.py | py | 11,884 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 130,
"usage_type": "call"
},
{
"api_name": "pytesseract.imag... |
40063496981 | from django.urls import include, path
from rest_framework import routers
from api.views import BasketModelAPIViewSet, ProductModelAPIViewSet
app_name = 'api'
router = routers.DefaultRouter()
router.register(r'products', ProductModelAPIViewSet)
router.register(r'baskets', BasketModelAPIViewSet)
urlpatterns = [
p... | Bereznikov/Online-shop | store/api/urls.py | urls.py | py | 353 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "api.views.ProductModelAPIViewSet",
"line_number": 9,
"usage_type": "argument"
... |
12214621000 | import io
import sys
_INPUT = """\
4 4
1 2
1 3
1 4
3 4
1 3
1 4
2 3
3 4
"""
sys.stdin = io.StringIO(_INPUT)
# 本番コードはこのコメント以下に書く、import,def,も
n,m=map(int, input().split()) #複数数値入力 「A B」みたいなスペース空いた入力のとき
graph_taka = [[] for _ in range(n)]
for _ in range(m):
a, b = map(int, input().split())
graph_taka[a-1].app... | MasayaKondo999/rent | ABC232/1219_3.py | 1219_3.py | py | 876 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.stdin",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 15,
"usage_type": "call"
}
] |
21892466278 | from pathlib import Path
from git import Repo
GENERATION_DICT = dict(example_mouse=[100])
cwd = Path.home() / "bg_auto"
cwd.mkdir(exist_ok=True)
if __name__ == "__main__":
repo_path = cwd / "atlas_repo"
atlas_gen_path = Path(__file__).parent
repo = Repo(repo_path)
# repo.git.add(".")
# repo.... | brainglobe/bg-atlasgen | bg_atlasgen/test_git.py | test_git.py | py | 427 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "pathlib.Path.home",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "git.Repo",
"line_number... |
27017325161 | from typing import Dict
import logging
from flask_jwt_extended import jwt_required, get_jwt_identity
from mongoengine.errors import ValidationError
from .barbecues_blp import barbecues_blp
from .abstract_barbecue_view import AbstractBarbecuesView
from ...schemas.communs_schemas import PagingError
from ...schemas.bar... | VictorCyprien/barbuc-api | barbuc_api/views/barbecues/one_barbecue_view.py | one_barbecue_view.py | py | 2,465 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "abstract_barbecue_view.AbstractBarbecuesView",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 33,
"usage_type": "name"
},
{
"api_na... |
70585509224 | import numpy as np
import torch
from collections import deque
from motion_pred.utils.config import Config
from models.motion_pred import *
import pickle
from datetime import datetime
import os
import time
index = 0
class HumanLatent:
def __init__(self, date_time=None):
self.device = torch.de... | yichen928/RSR_Goalkeeper | src/human_latent/src/human_latent.py | human_latent.py | py | 5,285 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"l... |
8446735468 | import os
import platform
import tempfile
import urllib
from cupy import testing
from cupyx.tools import install_library
import pytest
_libraries = ['cudnn', 'nccl', 'cutensor']
def _get_supported_cuda_versions(lib):
return sorted(set([
rec['cuda'] for rec in install_library.library_records[lib]]))
... | cupy/cupy | tests/cupyx_tests/tools_tests/test_install_library.py | test_install_library.py | py | 2,663 | python | en | code | 7,341 | github-code | 36 | [
{
"api_name": "cupyx.tools.install_library.library_records",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cupyx.tools.install_library",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 22,
"usage_type": "... |
8844317309 | import signal
import time
import sys
from typing import *
from multiprocessing import Process, Pipe, Value
from multiprocessing.connection import Connection
from threading import Thread
import zmq
import pyaudio
import numpy as np
from config import sr, input_dim, dtw_k, dtw_cost, channels
from transformer import mfc... | d32f123/master-thesis | python/twitrecog.py | twitrecog.py | py | 6,471 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "predictor.Predictor",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "multiprocessing.Pipe",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Value",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "multip... |
15673441989 | import requests
from web.models import ApiKeys
def __search(params):
api_key = ''
for keys in ApiKeys.select():
api_key = keys.key
s = requests.session()
s.headers = {
"Authorization": "Bearer " + api_key
}
r = s.get("https://api.yelp.com/v3/businesses/s... | 360cloudhub/Let-s-kick-it | yelp.py | yelp.py | py | 1,828 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web.models.ApiKeys.select",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "web.models.ApiKeys",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.session",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "web.models... |
17849210832 | import torch
import torch.nn as nn
from prodict import Prodict
import utils
class Reducer(nn.Module):
def __init__(self, dims: Prodict, device=torch.device("cpu")):
super(Reducer, self).__init__()
self.input_dim = dims.INPUT_DIM
self.output_dim = dims.OUTPUT_DIM
self.net = nn.Seque... | jameslu01/TDNODE | src/model/SLD/reducer.py | reducer.py | py | 682 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "prodict.Prodict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_n... |
73087531943 | # -*- coding: utf-8 -*-
# @Author: Ahmed kammorah
# @Date: 2019-04-14 22:19:20
# @Last Modified by: Ahmed kammorah
# @Last Modified time: 2019-04-14 23:11:39
from http.server import BaseHTTPRequestHandler, HTTPServer
import json
import re
import socket
from threading import Thread
import requests
MOCK_SERVER_PORT ... | AhmedKammorah/AKEmailService | MainService/tests/ak_mock_server.py | ak_mock_server.py | py | 1,133 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.code... |
29273051628 | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import numpy as np
import os
from collections import deque
from src.game_env import *
from src.ppo import *
import src.utils as utils
is_cuda = torch.cuda.is_available()
# device = 'cuda' if is_cuda else 'cpu'
device = '... | ray075hl/PPO_super_mario | src/agent.py | agent.py | py | 8,651 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn... |
71170295463 | import datetime
import re
from django import forms
from django.contrib.auth.forms import (
UserCreationForm,
AuthenticationForm,
PasswordChangeForm,
PasswordResetForm,
SetPasswordForm,
)
from app.models import Person, User, Information, Competition
from django.conf import settings
from django.core.m... | speedcubing-japan/scj | python/src/app/forms.py | forms.py | py | 17,948 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "app.models.User",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 27,
"usage_type": "call... |
36773748033 | from bs4 import BeautifulSoup
import requests
import pymongo
from splinter import Browser
from splinter.exceptions import ElementDoesNotExist
import tweepy
# from config import (consumer_key,
# consumer_secret,
# access_token,
# access_token_secret)
# auth = ... | Jagogbua13/Web-scraping | Web-Scrape HW/scrape_mars.py | scrape_mars.py | py | 4,126 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulS... |
19250829785 | from __future__ import absolute_import, division, print_function
import os
import io
import sys
import glob
import base64
import json
import argparse
from tqdm import tqdm
import numpy as np
from PIL import Image
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from utils.equi_to_cube imp... | swhan0329/panorama_image_inpainting | pre_proc/create_data.py | create_data.py | py | 3,581 | python | en | code | 17 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
73325034344 | from selenium import webdriver
from selenium.webdriver import Chrome
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
chrome_options = O... | LucasPeresFaria/qa_eduzz | selenium_qa/qa_teste.py | qa_teste.py | py | 1,045 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usag... |
34377423467 | import os
import pytest
import numpy as np
from pynpoint.core.pypeline import Pypeline
from pynpoint.readwrite.fitsreading import FitsReadingModule
from pynpoint.processing.frameselection import RemoveFramesModule, FrameSelectionModule, \
RemoveLastFrameModule, RemoveSta... | PynPoint/PynPoint | tests/test_processing/test_frameselection.py | test_frameselection.py | py | 15,896 | python | en | code | 17 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pynpoint.util.tests.create_star_data",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyn... |
43729251600 | from torch import nn
class Convolution(nn.Module):
def __init__(self, in_channels, out_channels, k_size=3, rate=1):
super().__init__()
self.convlayer = nn.Sequential(
nn.Conv2d(in_channels=int(in_channels),
out_channels=int(out_channels),
ker... | mrFahrenhiet/CrackSegmentationDeepLearning | model/convolutionBase.py | convolutionBase.py | py | 573 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
15296957499 | #!/usr/bin/env python3
import os
import pickle
import warnings
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.stats import norm
import ROOT
import uproot
import yaml
SPEED_OF_LIGHT = 2.99792458
SPLIT = True
centrality_colors = [ROOT.kOrange+7, ROOT.kAzure+4, ROOT.kTeal+4, ROOT.kBla... | maciacco/MuBFromRatios_PbPb | Hypertriton_PbPb/ratio.py | ratio.py | py | 11,027 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ROOT.kOrange",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ROOT.kAzure",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ROOT.kTeal",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ROOT.kBlack",
... |
37645603997 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
import time
options = webdriver.ChromeOptions()
options.add_argument(r"user-data-dir=C:\Github\python-whatsapp-messages\whatsapp-web\data")
options.add_experimental_option("excludeSwitches", ["ena... | paulocoliveira/python-whatsapp-messages | whatsapp-web/sample.py | sample.py | py | 885 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
25305939157 | __author__ = 'diegopinheiro'
from genetic_algorithms.genetic_algorithm import GeneticAlgorithm
from stop_criterions.iteration import IterationStopCriterion
from common.set_reader import SetReader
from selection_strategies.fitness_proportionate import FitnessProportionate
from selection_strategies.tournament_selection... | diegompin/genetic_algorithm | experiments/test_iris.py | test_iris.py | py | 5,058 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "common.set_reader.SetReader",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "stop_criterions.iteration.IterationStopCriterion",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "selection_strategies.fitness_proportionate.FitnessProportionate",
... |
27838730172 | import struct
from newsroom import jsonl
import os
from utils import preprocess_text
import parameters as p
import pandas as pd
import pickle as pkl
from tensorflow.core.example import example_pb2
import argparse
def trim_and_transform(example_generator, new_filename, transformation, constraint):
oldcount, newcoun... | dmcinerney/Summarization | preprocess.py | preprocess.py | py | 6,740 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.isfile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.remove",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "newsroom.jsonl.open",
"line... |
24827880363 | from django import forms
from myapp1.models import OrderItem
class OrderItemForm(forms.ModelForm):
class Meta:
model = OrderItem
fields = ['item', 'client', 'items_ordered']
widgets = {
'client': forms.RadioSelect(choices=[
('Client A', 'Client A'),
... | yesshhh/grosite | myapp1/forms.py | forms.py | py | 965 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "myapp1.models.OrderItem",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.... |
39068909895 | import requests
from bs4 import BeautifulSoup
# セッションの生成
session = requests.session()
# ログイン
url = "http://somewhere/?controller=login&action=login"
data = { # from Form Data
"login.x": "39", # <someValue>
"login.y": "12", # <someValue>
"accountName": "<ID>", # <ID>
"password": "<PW>" # <PW>
}
respon... | 8aqtba9y/study-ml-thing | 06_Using_Request/01_Mocking_Login_Request.py | 01_Mocking_Login_Request.py | py | 1,478 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "requests.session",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 30,
"usage_type": "call"
}
] |
9105855311 | # coding=utf-8
import webapp2
import logging
from controllers.restore import ExportHandler, ExportHttpWorker, ExportWorker
from controllers.event import SaveEventsHandler, LastEventsHandler, UserEventsHandler, EventsCountHandler
class BlankPageHandler(webapp2.RequestHandler):
def get(self):
self.response... | nicklasos/gae-data-fallback | main.py | main.py | py | 1,258 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "webapp2.RequestHandler",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "webapp2.WSGIApplication",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "controllers.event.SaveEventsHandler",
"line_number": 15,
"usage_type": "name"
},
{... |
11249061798 | #!/usr/bin/env python
'''
A helper script to extract regions from LRW with dlib.
Mouth ROIs are fixed based on median mouth region across 29 frames.
@author Peratham Wiriyathammabhum
@date Jan 10, 2020
'''
import argparse
import os, os.path
import sys
import glob
import errno
import pickle
import math
import time
imp... | perathambkk/lipreading | lrcodebase/LRW_boundary_stats.py | LRW_boundary_stats.py | py | 3,349 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.expanduser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_num... |
2911796694 | from tqdm import tqdm
import torch
import torchvision
import torchvision.transforms as transforms
import pandas as pd
import numpy as np
from torch.utils.data import Dataset, DataLoader, Subset
from model import dCNN
from dataset import NumpySBDDataset
import torch.optim as optim
import os
import yaml
import argparse
... | arunsanknar/AlectioExamples | urban-sound-classification/process.py | process.py | py | 9,819 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
8882862385 | import numpy as np
from collections import defaultdict
import rl.env
import rl.player
import rl.display
class Env(rl.env.DiscreteEnv):
def __init__(self, n = 10, h = 1, p = 2, k = 3) -> None:
super().__init__()
self.n = n
self.h = h
self.p = p
self.k = k
... | TheGoldenChicken/robust-rl | ware_house/ware_house.py | ware_house.py | py | 5,829 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rl.env.env",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rl.env",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_nu... |
39624965175 | import requests
from bs4 import BeautifulSoup
from gql import gql, Client
from gql.transport.requests import RequestsHTTPTransport
url = 'https://events.uchicago.edu/cal/main/showMain.rdo'
base_url = 'https://events.uchicago.edu'
gql_server = 'https://ucevents.herokuapp.com/'
client = Client(
transport=RequestsHTT... | jeffhc/campusoutlook-scraper | scripts/ucevents.py | ucevents.py | py | 3,371 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gql.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gql.transport.requests.RequestsHTTPTransport",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gql.gql",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "gql.g... |
36768731245 | """OpenAI Functions Service"""
import json
import openai
from .schema import *
async def parse_openai_function(
response: dict,
functions: List[Type[F]] = OpenAIFunction.Metadata.subclasses,
**kwargs: Any,
) -> FunctionCall:
"""Parses the response from OpenAI and returns a FunctionCall object."""
... | obahamonde/openai-pubsub-functions | src/service.py | service.py | py | 1,451 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion.acreate",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "openai.ChatCompletion",
"line_number": 41,
"usage_type": "attribute"
}
] |
6196959192 | from rest_framework import serializers
from .models import Profile, User
from articles.serializers import ArticleSerializer
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = User
fields = ('id', 'first_name', 'last_name')
class ProfileSerializer(serializers.ModelSerializer):... | equator40075km/backend | equator/profiles/serializers.py | serializers.py | py | 872 | python | en | code | 0 | github-code | 36 | [
{
"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": "models.User",
"line_number": 8,
"usage_type": "name"
},
{
... |
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