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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
33013803925 | """Config flow to configure Axis devices."""
from ipaddress import ip_address
import voluptuous as vol
from homeassistant import config_entries
from homeassistant.const import (
CONF_HOST,
CONF_MAC,
CONF_NAME,
CONF_PASSWORD,
CONF_PORT,
CONF_USERNAME,
)
from homeassistant.util.network import i... | 84KaliPleXon3/home-assistant-core | homeassistant/components/axis/config_flow.py | config_flow.py | py | 5,044 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "homeassistant.config_entries.ConfigFlow",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "homeassistant.config_entries",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "const.DOMAIN",
"line_number": 35,
"usage_type": "name"
},
{... |
36879836893 | import numpy as np
import matplotlib.pyplot as plt
from implementations import *
from implementations_modified import *
from proj1_helpers import *
#########################################
# Data preprocessing #
#########################################
def standardize(x,data_mean,data_std):
n... | kevinxqiu/machine-learning | impl_proj1.py | impl_proj1.py | py | 6,886 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 3... |
7436796972 | """
Evaluates an MPG Ranch coarse classifier, version 3.0.
The script must be run in a directory that contains an archive with only
tseep or thrush clips. The clips must have been classified already by
the coarse classifier to be evaluated, running in evaluation mode. The
script takes a single command line argument, e... | HaroldMills/Vesper | scripts/evaluate_mpg_ranch_coarse_classifier_3_0.py | evaluate_mpg_ranch_coarse_classifier_3_0.py | py | 6,124 | python | en | code | 47 | github-code | 6 | [
{
"api_name": "vesper.util.django_utils.set_up_django",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "vesper.util.django_utils",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 35,
"usage_type": "call"
},
{
"api_... |
72934903547 | import zipfile
from pathlib import Path
import requests
import torch
import torchvision
from torchvision import transforms
from tqdm.auto import tqdm
DATA_DIR = Path("data")
NUM_WORKERS = 4
SIZE_H = SIZE_W = 96
BATCH_SIZE = 256
IMAGE_MEAN = (0.485, 0.456, 0.406)
IMAGE_STD = (0.229, 0.224, 0.225)
transformer = trans... | antony-frolov/cats-vs-dogs | cats_vs_dogs/utils.py | utils.py | py | 1,765 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "to... |
9084217644 | import logging
from rdflib import Graph, Namespace, URIRef, Literal, BNode
from rdflib.namespace import DCTERMS, RDF, RDFS
import threading
import time
from oslcapi.api.helpers import module_to_service_provider, element_to_oslc_resource, list_buckets, list_instances, \
list_clusters
log = logging.getLogger('teste... | AlexVaPe/pyOSLC_GCP | oslcapi/models/oslc.py | oslc.py | py | 14,358 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rdflib.Namespace"... |
37955285503 | from django.contrib.auth.models import User
from django.forms import DateInput
from django_filters import FilterSet, ModelChoiceFilter, DateFilter
from .models import Post
class PostFilter(FilterSet):
author__user = ModelChoiceFilter(
field_name='author__author',
queryset=User.objects.all(),
... | DmitryZZZZZZ/Portal | news/filters.py | filters.py | py | 610 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django_filters.FilterSet",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django_filters.ModelChoiceFilter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 10,
"usage_type": "c... |
24605705945 | from PIL import Image
import os
sr21 = Image.open('sreekesh2021.png')
vi20 = Image.open('vivek2020.jpeg')
ku19 = Image.open('kumar2019.png')
sh14 = Image.open('shaafi2014.jpeg')
for f in os.listdir('.'):
if f.endswith('.png') or f.endswith('.jpeg'):
image = Image.open(f)
width, height = image.siz... | hanok-e/SV-website | images/heat transfer/resize.py | resize.py | py | 562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6... |
23088075075 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Object Tracking Test
Code by: Magnus Øye, Dated: 05.10-2018
Contact: magnus.oye@gmail.com
Website: https://github.com/magnusoy/Balancing-Platform
"""
# Importing packages
import cv2
from src.balancing_platform.video_processing import BallTracking
# Run test
if __name... | magnusoy/Balancing-Platform | tests/video_processing_test.py | video_processing_test.py | py | 705 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "src.balancing_platform.video_processing.BallTracking",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 26,
"usage_type": "call"
}
] |
19330919869 | import pytest
from unittest.mock import patch, MagicMock
from src.chains import run_chain
# Mock CONFIG using pytest fixture
@pytest.fixture
def mock_config():
with patch('src.chains.CONFIG', {'llm': 'gpt-3.5-turbo'}):
yield
# Mock external classes and run test
@patch('src.chains.ChatOpenAI')
@patch('src.... | clarevoyance/acumen | tests/test_chains.py | test_chains.py | py | 1,468 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.mock.patch",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "unittes... |
14986384190 | import os
from typing import Optional, Union, List, Tuple
from langml import TF_KERAS
if TF_KERAS:
import tensorflow.keras as keras
import tensorflow.keras.backend as K
else:
import keras
import keras.backend as K
import numpy as np
import tensorflow as tf
from typeguard import typechecked
from langm... | ant-research/TDEER | langml/langml/third_party/crf.py | crf.py | py | 26,788 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "langml.TF_KERAS",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "langml.tensor_typing.Tensors",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "numpy.zeros_like",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.ze... |
19932578718 | import importlib
import importlib.machinery
import logging
import os
import re
import socket
from collections import OrderedDict
from functools import lru_cache
from signac.common import config
from .directives import (
_EXECUTABLE,
_NGPU,
_NP,
_NRANKS,
_OMP_NUM_THREADS,
_PROCESSOR_FRACTION,
... | shandave/signac-flow | flow/environment.py | environment.py | py | 16,735 | python | en | code | null | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "socket.getfqdn",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "functools.lru_cache",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "setuptools.comma... |
23885132904 | import common as day6
fishes = day6.makeFish(day6.getData("day6/data.txt"))
days = 256
fishToAdd = 0
print("Initial State: {} ".format(fishes))
for day in range(days):
if fishToAdd > 0:
for _ in range(0, fishToAdd):
fishes.append(day6.LanternFish())
fishToAdd = 0
for fish in fishes:
... | markwpearce/adventofcode2021 | day6/day6.py | day6.py | py | 430 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "common.makeFish",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "common.getData",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "common.LanternFish",
"line_number": 12,
"usage_type": "call"
}
] |
7271318930 | import calendar, csv, datetime, json, requests, time, urllib
from bs4 import BeautifulSoup
FANDOM = 'Warrior Nun (TV)'
START_PAGE = 62
END_PAGE = 70
PAUSE = 70 #seconds to wait in between batches to avoid rate-limits
OUTPUT_FILE = 'output/{fandom}_{date}.csv'.format(
fandom=FANDOM,
date=datetime.datetime.isoforma... | tlee911/ao3-scripts | fandom.py | fandom.py | py | 7,980 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.isoformat",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name... |
72331727868 | """Ручное управление транзакцией"""
import asyncio
import asyncpg
from config import conf_load
from asyncpg.transaction import Transaction
import os
async def main():
await conf_load()
connection = await asyncpg.connect(
host=os.environ["host"],
port=os.environ["port"],
user=os.environ... | Shcherbakov98/asyncio | chapter_5/listing_5_12.py | listing_5_12.py | py | 1,495 | python | ru | code | 1 | github-code | 6 | [
{
"api_name": "config.conf_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "asyncpg.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"li... |
32554351863 | from collections import deque
for t in range(10):
n=input();l=deque(list(map(int,input().split())));r=''
while l[-1]!=0:
for i in range(5):
tmp=l.popleft()
if tmp-1-i>0:l.append(tmp-i-1)
else:l.append(0);break
for i in l:r+=str(i)+' '
print(f'#{t+1}',r) | jbsam2/algo_problem | swea/D3/1225. 암호생성기.py | 1225. 암호생성기.py | py | 313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 3,
"usage_type": "call"
}
] |
11871243250 | """Does the typing work with a generic function that zips? Yes"""
from typing import Iterable, TypeVar, TYPE_CHECKING
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
def zip_func(a: Iterable[_T1], b: Iterable[_T2]) -> list[tuple[_T1, _T2]]:
a = list(a)
b = list(b)
length = min(len(a), len(b))
return [(a[i],... | Wattsy2020/zip_typing | experimentation/generic_function.py | generic_function.py | py | 1,332 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.TYPE_CHECKING",
... |
8310498208 | import pytest
from unittest import mock
from share.regulate import Regulator
from share.regulate.steps import NodeStep, GraphStep, ValidationStep
from share.util.graph import MutableGraph
@pytest.mark.parametrize('num_node_steps', [0, 1, 5])
@pytest.mark.parametrize('num_graph_steps', [0, 1, 5])
@pytest.mark.paramet... | dwtcourses/SHARE | tests/share/regulate/test_regulator.py | test_regulator.py | py | 1,665 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.mock.Mock",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "share.regulate.steps.NodeStep",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "unittest.mock",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "un... |
28806146206 | from __future__ import print_function
import subprocess
import os
import tempfile
from . import exceptions, sessions
from .template import get_installed_templates
from .formatter import get_installed_formatters
def benzo_request(template_name, formatter_name, session_path=None):
all_templates = get_installed_te... | coddingtonbear/benzo | benzo/editor.py | editor.py | py | 3,471 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "template.get_installed_templates",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "formatter.get_installed_formatters",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 16,
"usage_type": "call"
},
{
... |
39314324620 | from bs4 import BeautifulSoup
import requests
import re
url = 'https://www.google.com'
url_EL = 'https://www.gasbuddy.com/station/195230'
url_COM = 'https://www.gasbuddy.com/station/24786'
# Types of gas: Regular and Premium
# Site also displays prices at other gas stations
# I can add some logic(conditiona... | stephenfong/Gasprices-webscraper | Gasprices.py | Gasprices.py | py | 1,843 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
}
] |
22218621466 | import os
import math
import types
import functools
import numpy as np
import director
from director import matlab
from director import callbacks
from director.asynctaskqueue import AsyncTaskQueue
from director.ikconstraints import *
from director import drcargs
class AsyncIKCommunicator():
STARTUP_COMPLETED = '... | RobotLocomotion/director | src/python/director/matlabik.py | matlabik.py | py | 24,418 | python | en | code | 176 | github-code | 6 | [
{
"api_name": "director.callbacks.CallbackRegistry",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "director.callbacks",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "os.path.relpath",
"line_number": 44,
"usage_type": "call"
},
{
"api_name":... |
36341333864 | # 정수를 저장하는 큐를 구현한 다음, 입력으로 주어지는 명령을 처리하는 프로그램을 작성하시오.
# 명령은 총 여섯 가지이다.
# push X: 정수 X를 큐에 넣는 연산이다.
# pop: 큐에서 가장 앞에 있는 정수를 빼고, 그 수를 출력한다. 만약 큐에 들어있는 정수가 없는 경우에는 -1을 출력한다.
# size: 큐에 들어있는 정수의 개수를 출력한다.
# empty: 큐가 비어있으면 1, 아니면 0을 출력한다.
# front: 큐의 가장 앞에 있는 정수를 출력한다. 만약 큐에 들어있는 정수가 없는 경우에는 -1을 출력한다.
# back: 큐의 가장 뒤에 있는... | jujinyoung/CodingTest | bakjjun_codingTest/18258.py | 18258.py | py | 1,507 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin.readline",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readlin... |
28831529050 | import json
import sys
from rdp import rdp
input_file_name = 'data/contours.json'
output_file_name = 'data/compacted_contours.json'
rdp_epsilon = 0.1
if __name__ == "__main__":
arg_count = len(sys.argv)
print(f"Arguments count: {arg_count}")
proc_args = sys.argv
for i, arg in enumerate(proc_args):
... | denorlov/isolines | compact.py | compact.py | py | 1,507 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "rdp.rdp",
"line_number": 47... |
9002492644 |
from service._globals import labels
from service.helpers import decode_b64_to_img
import cv2
import numpy as np
from models.db.classifications import DBClassification, DBImages, DBResult
from service.util import time_
from base64 import b64encode
from models.extraction.extraction import TextExtractor
import joblib
fro... | Crischinaldo/OCR | src/API/src/models/classification.py | classification.py | py | 2,475 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "service._globals.labels",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "models.extraction.extraction.TextExtractor",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "joblib.load",
"line_number": 25,
"usage_type": "call"
},
{
"ap... |
20340721588 | import streamlit as st
import pandas as pd
import joblib,os
# NLP Packages
import spacy
nlp = spacy.load("en_core_web_sm")
from nltk.corpus import wordnet
import string
import re
import nltk
from nltk import pos_tag
from nltk.corpus import stopwords
from nltk.tokenize import WhitespaceTokenizer
from nltk.stem import W... | NJF0029/final_project | App/sentiment_app_v2.py | sentiment_app_v2.py | py | 5,343 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "spacy.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_numbe... |
28156145484 | """ Hilarious script written for automating score calculation (quality diversity metrics)
for one set of experiments"""
import argparse
import subprocess
import sys
from pathlib import Path
from typing import List
from thre3d_atom.utils.logging import log
def parse_arguments(args: List[str]) -> argparse.Namespace:
... | akanimax/3inGAN | projects/thre3ingan/automated_scripts/compute_quality_diversity_metrics_for_experiment_set.py | compute_quality_diversity_metrics_for_experiment_set.py | py | 4,125 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 17,
"usage_type": "attribute"
},
{
"a... |
34399888296 | from collections import namedtuple
import struct
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
'''
! types of cells, in/outflow can be combined, e.g., TypeFluid|TypeInflow
CellType {
TypeNone = 0,
TypeFluid = 1,
TypeObstacle = 2,
... | cshouu/mypack | FluidNet_2d4c.py | FluidNet_2d4c.py | py | 13,779 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "struct.unpack",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
... |
20894237624 | from django import template
from datetime import datetime
register=template.Library()
@register.filter(name='dec')
def dec(value1=None ,value2=None):
if (value1!=None):
end=str(value1).split()
start=str(value2).split()
delta =[]
end=end[1].split(':')
start... | SanazSafaei/hoursRecorder | hoursRecorder/boards/templatetags/custom.py | custom.py | py | 576 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 4,
"usage_type": "name"
}
] |
22825469323 | from __future__ import (absolute_import, division,
print_function, unicode_literals)
from datetime import date
from tornado.ioloop import IOLoop
from tornado.testing import AsyncTestCase, gen_test
from tornado.test.util import unittest
import tornado.platform.twisted
import mysql.connector
impo... | geerk/toradbapi | tests.py | tests.py | py | 5,396 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "tornado.ioloop.platform.twisted.install",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.platform",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tornado.ioloop",
"line_number": 18,
"usage_type": "name"
},
{
... |
71654558267 | import os
import time
from pytz import utc
from flask import Flask, request, render_template, flash, redirect, url_for, session, send_file
from flask import Blueprint, g
from flask_mysqldb import MySQL
from flask_session import Session
from twilio.rest import Client
from flask_apscheduler import APScheduler
from dateti... | dpmittal/Amnesia-Helper | app/views/main.py | main.py | py | 4,784 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask_apscheduler.APScheduler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "app.... |
40602337015 | #coding:utf-8
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(42)
m = 100
n_epochs = 50 # エポック数
batch_size = 20 # バッチサイズ
t0, t1 = 200, 1000
def learning_schedule(t):
return t0/float(t+t1)
X = 2 * np.random.rand(m, 1)
y = 4 + 3 * X + np.random.randn(m, 1)
X_b = np.c_[np.ones((m, 1)), X] # add... | Sadaku1993/gradient_descent | minibatch_gradient_descent.py | minibatch_gradient_descent.py | py | 1,173 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
70513195389 | from django.utils.translation import ugettext_lazy as _
from lcs_client import validate_token, RequestError, CredentialError, InternalServerError
from rest_framework import exceptions
from mentorq_user.models import MentorqUser
# defines the backend used to authenticate users given an email and an lcs auth token
cla... | HackRU/mentorq-backend | mentorq_user/backends.py | backends.py | py | 1,529 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "lcs_client.validate_token",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "lcs_client.InternalServerError",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "lcs_client.RequestError",
"line_number": 18,
"usage_type": "name"
},
{
"... |
33847832983 | from .models import Login
import numpy as nm
from django.shortcuts import render ,redirect
from django.contrib import messages
from django.contrib.auth.models import User,auth
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.colors import ListedColormap
from sklearn.metrics import accuracy_score
from... | Dhanu6568/Dsp | views.py | views.py | py | 9,407 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 30,
"usag... |
32006111093 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/12/30 10:23
# @Author : Xsh
# @File : location_contacts.py
# @Software: PyCharm
import traceback
from cache.helper import hgetall
from cache.keys import get_token
from config.order_app import db
from tools import constant as cs
from model.location_c... | xushuhai/OrderSystem | order_v1/service/location_contacts.py | location_contacts.py | py | 1,794 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "model.location_contacts.LocationContacts.query.filter_by",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "model.location_contacts.LocationContacts.query",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "model.location_contacts.LocationCont... |
21354348625 | from typing import List
class Solution:
def mergeSimilarItems(self, items1: List[List[int]], items2: List[List[int]]) -> List[List[int]]:
val2weigh = dict()
for v, w in items1:
val2weigh[v] = val2weigh.get(v, 0) + w
for v, w in items2:
val2weigh[v] = val2weig... | Alex-Beng/ojs | FuckLeetcode/2363. 合并相似的物品.py | 2363. 合并相似的物品.py | py | 403 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
25689401983 | import requests
import math
import re
import pandas as pd
#####################################################
# USER DEFINED VARIABLES:
# You can construct your boolean logic on the search form and copy the query string from the results page (English only for now).
query = '(TITLE:(water) AND (testing) AND (ontari... | scholarsportal/text-mining | corpus-builder.py | corpus-builder.py | py | 2,760 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 9... |
29578469420 | # -*- coding: utf-8 -*-
"""
https://jakevdp.github.io/PythonDataScienceHandbook/04.11-settings-and-stylesheets.html
Created on Fri Oct 26 14:38:36 2018
@author: Akitaka
"""
import matplotlib.pyplot as plt
import numpy as np
x = np.random.randn(1000)
plt.hist(x);
#%%
# use a gray background
ax = plt.ax... | nakanishi-akitaka/python2018_backup | 1026/04.11_settings_and_stylesheets.py | 04.11_settings_and_stylesheets.py | py | 2,045 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.random.randn",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.hist",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotli... |
13110910882 | from flask import request, jsonify
from data_provider import *
from rest_api.api_config import ma
from app import app
from tabledef import Watchlist
class WatchlistSchema(ma.ModelSchema):
class Meta:
model = Watchlist
watchlistSchema = WatchlistSchema(only=('name', 'description', 'id', 'user_id'))
watc... | spachava753/project-viper | rest_api/watchlist_api.py | watchlist_api.py | py | 2,425 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_api.api_config.ma.ModelSchema",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_api.api_config.ma",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "tabledef.Watchlist",
"line_number": 11,
"usage_type": "name"
},
{
"a... |
73414638908 | import json
def carregar(user) -> None:
with open("config.json", "r") as arquivo:
try:
dados = json.load(arquivo)
except Exception:
return False
if all(valor == "" for valor in dados.values()):
return False
user.username = dados['name']
... | lorenzolpandolfo/firescript | config.py | config.py | py | 1,675 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 46,
"usage_type": "call"
}
] |
1336215979 | #!/usr/bin/python
'''
filter MulTiXcan and PrediXcan WB results Mappability>0.8 and no cross-mappability between pairs
needed for Table 1 tested count and Fig 2 QQ plot
'''
import gzip
import sys
import argparse
import os
def check_arg(args=None):
parser = argparse.ArgumentParser(description='Script to filter poo... | WheelerLab/trans-PrediXcan | scripts_filter-results/01_filter_full_results_rm_bad_map.py | 01_filter_full_results_rm_bad_map.py | py | 2,085 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "gzip.open",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "gzip.open",
"line... |
5751783727 | """
Benjamin Stanton
Tech2Protect Denver
HeartLink
9/28/19
"""
import sqlite3 as sql
import json as js
def getDataSnapshot():
teamSize = 5
records = []
conn = sql.connect("HeartLink_DB.db")
conn.cursor()
for record in conn.execute("SELECT * FROM FR_DATA ORDER BY TS desc LIMIT " + str(teamSi... | happyklans/T2P-challenge-7-backend | DB_to_websocket.py | DB_to_websocket.py | py | 816 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "call"
}
] |
18101428514 | from turtle import right
from typing import List, Optional
from unittest import main, TestCase
from queue import Queue
"""
6
2 4
1
6
2 1
4
2
1 6
4
"""
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val... | hirotake111/leetcode_diary | leetcode/recover_bst/solution.py | solution.py | py | 3,561 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "turtle.right",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
... |
29121016093 | from web_flask.views import app_views
from flask import render_template, url_for, redirect, request
from flask_login import login_required, current_user
from models import storage
@app_views.route('/account')
@login_required
def account():
user = storage.get("User", current_user.get_id())
return render_templa... | mostafaehab96/Handmade | web_flask/views/account.py | account.py | py | 891 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.storage.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask_login.current_user.get_id",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fla... |
24377720255 | from ..thriftpy2 import load
from ..thriftpy2.thrift import TApplicationException, TMessageType
from ..thriftpy2.http import THttpClient
from ..thriftpy2.protocol import TCompactProtocol
from ..thriftpy2.protocol import TBinaryProtocol
from ..thriftpy2.transport import TBufferedTransport
from ..thriftpy2.Thrift.TCCompa... | Alfinonh-fn/linepoll | line/curve/console.py | console.py | py | 10,226 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "itertools.zip_longest",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "thriftpy2.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
40698835265 | import json
from channels.generic.websocket import WebsocketConsumer
from asgiref.sync import async_to_sync
from django.utils import timezone
import redis
from django.conf import settings
import ast
CHAT_SIZE = 20
class MyMessage:
message = ''
user = ''
datetime = ''
def __init__(self, message):
... | watislaf/django_blog | chat/consumers.py | consumers.py | py | 2,371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "channels.generic.websocket.WebsocketConsumer",
"line_number": 31,
"usage_type": "name"
... |
27825826891 | import os
import sys
import subprocess
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import *
from PyQt5 import QtGui
from PyQt5 import QtCore
from ldap3 import Connection, AUTO_BIND_NO_TLS, SUBTREE
import dlg
import gui
import threading
import re
import yaml
class ParentWindow(QMainWindow, gui.Ui_MainWindow):
... | MikhailParkin/MikhailParkin | Other/RDP/main.py | main.py | py | 16,758 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "gui.Ui_MainWindow",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "yaml.dump",
"l... |
30298843350 | import talib as ta
import pandas as pd
import numpy as np
import os
import shap
from pandas_finance import Equity
from sklearn.metrics import mean_squared_error
from sklearn.ensemble import RandomForestRegressor
from matplotlib import pyplot as plt
def get_candle_features(df, target='return_t+1', remove_zero_days=Fal... | miladhamzelou/playground | python/equity.py | equity.py | py | 2,019 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas... |
74741436667 | import dash
import dash_core_components as dcc
import dash_html_components as html
from datetime import datetime as dt
from datetime import date
from dash.dependencies import Input, Output, State
import yfinance as yf
import pandas as pd
import plotly.express as px
from dash.exceptions import PreventUpdate
from model ... | sujithyadav998/Stock-Dash | app.py | app.py | py | 6,756 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dash.Dash",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "dash_html_components.H1",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dash_html_... |
24835181731 | import requests
from bs4 import BeautifulSoup
import re
import json
import csv
from multiprocessing import Pool
import argparse
fieldNames = ['url', 'bodyType', 'brand', 'color', 'fuelType', 'modelDate', 'name', 'numberOfDoors', 'productionDate',
'vehicleTransmission', 'engineDisplacement', 'enginePow... | vorontsovdg/autoru_parser | downloadContent.py | downloadContent.py | py | 8,976 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 174,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_num... |
24168978952 | from bs4 import BeautifulSoup
import requests
response = requests.get("https://news.ycombinator.com/")
yc_webpage = response.text
soup = BeautifulSoup(yc_webpage, "html.parser")
articles = soup.find_all(name="span", class_="titleline")
text_articles = []
link_articles = []
for article in articles:
article_text =... | Shd-Dan/Udemy_100_days_beatiful_soup_web_scaping | main.py | main.py | py | 1,002 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
}
] |
6794416900 | from __future__ import annotations
from . import (
cancel_order_params,
)
import typing
from dataclasses import dataclass
from construct import Container, Construct
import borsh_construct as borsh
class CancelMultipleOrdersByIdParamsJSON(typing.TypedDict):
orders: list[cancel_order_params.CancelOrderParamsJSO... | Ellipsis-Labs/phoenixpy | phoenix/types/cancel_multiple_orders_by_id_params.py | cancel_multiple_orders_by_id_params.py | py | 1,627 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "typing.TypedDict",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.ClassVar",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "borsh_construct.CStruct",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bo... |
3367913796 | import random
import re
from datetime import datetime
from io import BytesIO
from pathlib import Path
from typing import Union, Optional
import discord
import imageio
import requests
from PIL import Image, ImageOps
from discord.utils import get
from collections import namedtuple
from constants import GUILD_ID, beer_e... | Traus/discord_bot | utils/guild_utils.py | guild_utils.py | py | 7,645 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "init_bot.bot.get_guild",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "constants.GUILD_ID",
"line_number": 26,
"usage_type": "argument"
},
{
"api_name": "... |
25010857605 | from sys import setrecursionlimit
setrecursionlimit(3000)
def atob(a, b):
if a == b:
return f"{a}"
if a > b:
return f"{a} , {atob(a - 1, b)}"
if a < b:
return f"{a}, {atob(a + 1, b)}"
# глубина рекурсси в Питоне - 1000
def akk(m, n):
if m == 0:
return n + 1
eli... | the-nans/py2-repo_gb | lesson2_sandbox/sandbox.py | sandbox.py | py | 6,490 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 204,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 223,
"usage_type": "call"
},
{
"api_name": "collections.named... |
23182389166 | # -*- coding: utf-8 -*-
"""
Created on Mon Jul 8 15:04:23 2019
@author: cheng
"""
import numpy as np
import matplotlib.pyplot as plt
import math
import os
from scipy.spatial import ConvexHull
def plot_loss(history, scale, real_scale, timestr, dataname):
loss = history.history['loss']
val_loss = ... | haohao11/MCENET | scripts/plots.py | plots.py | py | 8,249 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "math.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
72788396989 | # -*- coding: utf-8 -*-
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from bs4 import BeautifulSoup
import re... | LonEdit120/testing_codes | selenium_test_04.py | selenium_test_04.py | py | 1,502 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 13,
"usage_type": "call"
},
... |
16659747174 | import nltk
from taggers import reg_exp_tagger, query_tagger
import thulac
with open("Leipzig10ksents_500.txt","r") as f:
origin_text = f.read()
# get test words and tag of test words
thu_tag = thulac.thulac()
train_word = thu_tag.cut(origin_text)
test_word = [i[0] for i in train_word]
print('test words:')
print... | dufengtong/NLPHomeWork | hw2/combine_tagger.py | combine_tagger.py | py | 706 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "thulac.thulac",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "taggers.query_tagger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "taggers.reg_exp_tagger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nltk.Unigra... |
21071729203 | import wandb
import seaborn as sns
import matplotlib.pyplot as plt
api = wandb.Api()
run = api.run("chcaa/gjallarhorn/254xlvgj")
loss = run.history(keys=["train_inner/loss", "valid/loss"])
loss = loss.set_index(loss["_step"])
loss = loss.drop("_step", axis=1)
p = sns.lineplot(data=loss)
p.set_xlabel("Steps")
p.set... | centre-for-humanities-computing/Gjallarhorn | plot_loss.py | plot_loss.py | py | 559 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "wandb.Api",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "seaborn.lineplot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.legend",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
21024535797 | """
Miscellaneous utilities.
These are mostly used in templates, for presentation purposes.
"""
try:
import pygments
from pygments import highlight
from pygments import lexers
from pygments.formatters import HtmlFormatter
except ImportError:
pygments = None
try:
import markdown
except ImportE... | oz123/git-arr | utils.py | utils.py | py | 3,435 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygments.lexers.DiffLexer",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "pygments.lexers",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "pygments.formatters.HtmlFormatter",
"line_number": 72,
"usage_type": "call"
},
{
"api_n... |
26211369524 | import numpy as np
import matplotlib.pyplot as plt
t = np.linspace(0,2200,10000)
x = 16*np.sin(t)**3+25
y = 13*np.cos(t)-5*np.cos(2*t)-2*np.cos(3*t)-np.cos(4*t)+20
plt.figure(figsize = (7,5))
plt.plot(x,y,color="pink",linewidth=5)
plt.text(14,19,"Happy Birthday Python",fontsize=20,color="red")
| Charlie-37/ITVedant | Teachers Practice Questions/love.py | love.py | py | 298 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_... |
36096455205 | import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
def create_graph():
adj_mat = np.loadtxt(r'C:\Users\Connor Moore\Desktop\365 Project Uber\Code\base_files\network.csv', delimiter=',')
graph_ = nx.from_numpy_matrix(adj_mat, create_using=nx.MultiGraph)
return graph_
# This just print... | cplm98/Uber-Destinations | ReadFiles.py | ReadFiles.py | py | 547 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "networkx.from_numpy_matrix",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "networkx.MultiGraph",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "networ... |
23053640393 | import datetime as dt
import matplotlib.pyplot as plt
import numpy as np
import data_loader
start = dt.datetime(2019, 6, 1)
now = dt.datetime.now()
df = data_loader.load_price_history("amd", start, now)
df["High"].plot(label="High")
pivots = []
dates = []
counter = 0
last_pivot = 0
value_range = [0, 0, 0, 0, 0, ... | liam-e/finance | pivots.py | pivots.py | py | 1,222 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "data_load... |
72600898749 | # Core library import
import os
import json
# External library imports
import spotipy
import spotipy.oauth2 as oauth2
# Personal imports
from spotify_info import CLIENT_ID, CLIENT_SECRET
from tools import ms_to_min_sec_text
class SpotifyPlaylistExport:
def __init__(self):
self.token = None
self.s... | Coul33t/spotify-to-youtube | spotify_export.py | spotify_export.py | py | 3,098 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spotipy.oauth2.SpotifyClientCredentials",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "spotipy.oauth2",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "spotify_info.CLIENT_ID",
"line_number": 24,
"usage_type": "name"
},
{
"api... |
10966120077 | import os
import pdb
import time
os.environ["CUDA_VISIBLE_DEVICES"] = '1,2,3,4'
import torch.nn as nn
from datasets import Action_DATASETS
from torch.utils.data import DataLoader
from tqdm import tqdm
import wandb
import argparse
import shutil
from pathlib import Path
import yaml
from dotmap import DotMap
import pprin... | Lycus99/SDA-CLIP | train.py | train.py | py | 11,015 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"l... |
32149684467 | # Upload Gold-3 BFS 다리 만들기
import sys
from collections import deque
input = sys.stdin.readline
N = int(input())
maps = [list(map(int,input().split())) for _ in range(N)]
visited = [[0]*(N) for _ in range(N)]
border = []
ways = [[0,1],[1,0],[-1,0],[0,-1]]
answer = N*N
def changeMaps(x,y,irelandNum):
... | HS980924/Algorithm | src/13.BFS/B#2156_다리만들기.py | B#2156_다리만들기.py | py | 1,965 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 49,
"usage_type": "call"
}
] |
2083446916 | from typing import Any
import hydra
import torch
from omegaconf import DictConfig
from pytorch_lightning import LightningModule
class BaseLitModule(LightningModule):
def __init__(
self,
network: DictConfig,
optimizer: DictConfig,
scheduler: DictConfig,
logging: DictConfig,... | gorodnitskiy/yet-another-lightning-hydra-template | src/modules/components/lit_module.py | lit_module.py | py | 1,897 | python | en | code | 128 | github-code | 6 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "omegaconf.DictConfig",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "omegaconf.DictConfig",
"line_number": 13,
"usage_type": "name"
},
{
"api_na... |
35031053803 | """Module Docstring"""
import subprocess
import isort # noqa: F401
import snoop
from kombu import Connection
from loguru import logger
fmt = "{time} - {name} - {level} - {message}"
logger.add("../logs/info.log", level="INFO", format=fmt, backtrace=True, diagnose=True) # noqa: E501
logger.add("../logs/error.log", le... | miccaldas/celery_and_friends | celery_and_friends/vivaldi/kom.py | kom.py | py | 693 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "loguru.logger.add",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "loguru.logger.add",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
... |
14161218685 | import json
import logging
import os
import httpx
import telegram
from telegram import constants
from pynamodb.attributes import BooleanAttribute, NumberAttribute
from pynamodb.models import Model
from pynamodb.pagination import ResultIterator
from telegram.error import BadRequest, Unauthorized
import atoma
logger =... | seik/dailywikipedia | bot.py | bot.py | py | 4,296 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
... |
12137617767 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""word count.
Usage:
word_count.py
--conf_file_path=<conf_file_path>
--output_dir_path=<output_dir_path>
word_count.py -h | --help
Options:
-h --help show this screen and exit.
"""
from datetime import datetime
from docopt import docopt
impo... | sugitaka64/selenium | tenshoku_kaigi/scripts/word_count.py | word_count.py | py | 2,097 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.today",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "docopt.docopt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "yaml.load",
... |
3597712427 | from __future__ import print_function
import torch
import torchvision.transforms as transforms
import click
import os
import random
import sys
import datetime
import dateutil
import dateutil.tz
dir_path = (os.path.abspath(os.path.join(os.path.realpath(__file__), './.')))
sys.path.append(dir_path)
from datasets impo... | jindal2309/Text2Image-DL-Project | main.py | main.py | py | 4,968 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
71621941627 |
from ast import Delete
from gc import get_objects
from optparse import check_builtin
from select import select
from typing import ItemsView
from django.shortcuts import render, redirect
from django.http import HttpResponse
from .models import Orders, Product, Category, Seller, Cart, Tracker, Review
from django.contrib... | divyansh383/Flipkart_Clone | shop/views.py | views.py | py | 13,925 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.authenticate",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.login",
"line_number": 30,
"usage_type": "call"
},
{
... |
22323829942 | import cv2 as cv
import numpy as np
#Callback function
def cross(x):
pass
#Creating a black image using numpy array of 800x600 dimensions and three channels.
img = np.zeros((800,600,3), np.uint8)
#Creating a named window
cv.namedWindow("Color Picker")
#Creating an ON/OFF switch for the color picker
cv.createTrac... | vermaprince123/Computer-Vision-and-Image-Processing | CV and IP/ImgData/colorPicker.py | colorPicker.py | py | 1,401 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "cv2.namedWindow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackbar",
"... |
25266889115 | import torch.nn.functional as F
import torch.nn as nn
class NN_model(nn.Module):
def __init__(self):
super(NN_model, self).__init__()
self.layer1 = nn.Linear(50, 10)
self.M_out = nn.Linear(10, 2)
self.soft = nn.Softmax(dim=1)
def forward(self, x):
x = F.relu(self.lay... | M0hammadmahdi/Semi-Supervised-Learning-with-covariate-shift | Experiment 1/CSSL_models.py | CSSL_models.py | py | 1,306 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numbe... |
34104789852 | from flask import Blueprint, request, jsonify
from flask_login import login_required, current_user
from app.models import Board, Pin
from app import db
from app.forms import BoardForm, BoardPinForm
from app.models import board_pins
import json
# from app.forms import PinForm
board_routes = Blueprint('boards', __name__... | tmarks98/Spinterest | app/api/board_routes.py | board_routes.py | py | 3,434 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.models.Board.query.all",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "app.models.Board.query",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name":... |
20835146345 | import streamlit as st
import webbrowser
st.title("First Assignment Innomatics Research Labs")
st.header("Create Streamlit Data App")
st.subheader("Khushboo Singh")
linkedin = 'https://www.linkedin.com/in/khushboo-singh-94934a105'
if st.button('Linkedin'):
webbrowser.open_new_tab(linkedin)
github = ... | Khushb123/Innomatics-StreamLit-Assignment | app.py | app.py | py | 414 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "streamlit.title",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "streamlit.header",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "streamlit.subheader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.button",
... |
44437397334 | from pymongo import MongoClient
import sys
client = MongoClient()
db = client['LogsUnitDB']
arguments = {
'EventID' : 1,
'TimeCreated': 2
}
def insertRow():
db.Logs.insert_one(
{
"EventId": sys.argv[arguments['EventID']],
"Time": sys.argv... | oreloffir/FinalProject | eventListener.py | eventListener.py | py | 408 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 15,
"usage_type": "attribute"
}
] |
1446995601 | import adagio
from adagio import keys
from adagio_backtest.config import *
from adagio.utils.mongo import get_library
adagio.AdagioConfig.quandl_token = QUANDL_TOKEN
if __name__ == '__main__':
library = get_library(keys.backtest)
# common parameters
lo_vol_scale_params = {
keys.vs_chg_rule: '+We... | thoriuchi0531/adagio_backtest | adagio_backtest/run_trend_following_benchmark.py | run_trend_following_benchmark.py | py | 10,341 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "adagio.AdagioConfig",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "adagio.utils.mongo.get_library",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "adagio.keys.backtest",
"line_number": 10,
"usage_type": "attribute"
},
{
"... |
23376036894 | from django.contrib.auth import login
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.shortcuts import render, get_object_or_404, redirect
from django.utils import timezone
from django.contrib import messages
import time
from django.http import HttpRespo... | joekariuki3/mysite_blog_django | blog/views.py | views.py | py | 6,615 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Post.objects.filter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "djang... |
19266279103 | import import_string
from pathlib import Path
from uuid import uuid4
from chamber.models import SmartModel
from django.core.exceptions import ValidationError
from django.core.files.base import ContentFile
from django.utils.functional import cached_property
from django.db import models
from django.utils.translation im... | druids/django-pymess | pymess/models/emails.py | emails.py | py | 10,611 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pymess.config.settings.EMAIL_STORAGE_PATH",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pymess.config.settings",
"line_number": 34,
"usage_type": "name"
},
{
... |
22417920761 | from flask import request, jsonify
from application import app
import db
import utils
@app.route('/api/users', methods=['GET'])
def users_get():
if request.method == 'GET':
user_id = request.args.get("userId")
response_data = []
if user_id:
success, user = db.get_one(
... | dericf/twitter-clone-api | application/routes/users.py | users.py | py | 2,935 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.method",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.... |
73060228029 | from time import sleep
import pytest
from physical.signals import H, L
from test_utils import CPUTestCase, Probe
from .clock import AdjustableInterval, Clock, Pulse
class AdjustableIntervalTest(CPUTestCase):
def setUp(self):
self.probe = Probe()
self.ai = AdjustableInterval()
def test_adju... | tp86/be-cpu | logical/test_clock.py | test_clock.py | py | 3,371 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "test_utils.CPUTestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "test_utils.Probe",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "clock.AdjustableInterval",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time... |
4556525265 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 28 19:20:04 2020
@author: joost
"""
from pyquil_interp_function import interp_pyquil
import pandas as pd
import networkx as nx
p_max = 10 # maxdepth
N = 20 # number of graphs per node number n
d = 3 # degree of regular graphs
# creating dataframe
output = pd.DataFrame... | soosub/bsc-thesis | Implementation/NewPlan/experiments/pyquil_interp_experiment_koen.py | pyquil_interp_experiment_koen.py | py | 919 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "networkx.random_regular_graph",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyquil_interp_function.interp_pyquil",
"line_number": 25,
"usage_type": "call"
}
] |
40377824235 | import gym
from gym import spaces
import ray
from ray.rllib.algorithms import ppo
import numpy as np
import pandas as pd
import config
REWARD_PENALTY = config.REWARD_PENALTY
'''
reward -> add latency requirement
remove read_lat from features
toggle between two actions and three actions
reward penalty toggle
'''
de... | TreeinRandomForest/nic-tuning-experiments | rl/env.py | env.py | py | 6,338 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.REWARD_PENALTY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.sort",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"li... |
74197629309 | from datetime import datetime, timedelta
import pandas as pd
from rest_framework import viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from common.dates_interval import get_days_interval
from des.dao import DesSkybotJobResultDao
from des.dao.exposure import Exposure... | linea-it/tno | backend/des/views/skybot_job_result.py | skybot_job_result.py | py | 6,465 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "rest_framework.viewsets.ReadOnlyModelViewSet",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "des.models.SkybotJobResult.objects.select_related",
"line_number": ... |
14764045044 | from collections import namedtuple, deque
from typing import List
Request = namedtuple("Request", ["arrived_at", "time_to_process"])
Response = namedtuple("Response", ["was_dropped", "started_at"])
class Buffer:
def __init__(self, size):
self._size = size
self._current_time = 0
self._fini... | JoeLove100/data-structures-and-algorithms | data_structures/basic_data_structures/network_packets_sim.py | network_packets_sim.py | py | 1,990 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.... |
43632909793 | u"""
Tools for programmatically generating config files for AllenNLP models.
"""
# pylint: disable=protected-access,too-many-return-statements
from __future__ import absolute_import
from __future__ import print_function
#typing
import collections
import inspect
import importlib
import json
import re
import torch
fro... | plasticityai/magnitude | pymagnitude/third_party/allennlp/common/configuration.py | configuration.py | py | 12,879 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "itertools.izip",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "allennlp.nn.initializers.Initializer",
"line_number": 48,
"usage_type": "argument"
},
{
"api_name": "collec... |
22990506156 | from http.server import BaseHTTPRequestHandler, HTTPServer
import os
import mysql.connector
import time
hostname = "0.0.0.0"
port = 8080
time.sleep(5)
class weatherHTTP(BaseHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.send_header("Content-type", "text/html")
self.en... | KacperS22/weatherscript | httpserver.py | httpserver.py | py | 1,012 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "http.server.BaseHTTPRequestHandler",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 17,
"usage_type": "call"
},
{
"ap... |
4931651084 | import matplotlib.pyplot as plt
import numpy
train_cost = []
test_cost = []
with open('log', 'r') as f:
lines = f.readlines()
for line in lines:
if line[0] == 'T':
# test
elements = line.rstrip('\n\r').split(':')
cost = float(elements[1])
test_cost.append(cost)
elif line[0]... | wondervictor/DeepLearningWithPaddle | OCR-CTC/draw_curve.py | draw_curve.py | py | 719 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "ma... |
7239881010 |
from importlib import import_module
from django.conf import settings
from .items import SubMenu
MENU_DICT = ".menubase.MENUS"
#! need an all(), cached
#? lazy data gathering, to cache
#? API needs multiple query, so not stock map API?
#? but if recursion ok, stash map...
#? use attributes, not string keys
class Me... | rcrowther/django_menus | manager.py | manager.py | py | 2,878 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "importlib.import_module",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "items.SubMenu",
"line_number": 53,
"usage_type": "argument"
}
] |
70848631869 | #import useful modules here
#import pygame
import pygame.display
from GameData import loadImage, ImageBank
class DrawableObject(object):
"""
This is the super class of all object that can be drawn to the screen.
"""
# Class variable shared by all objects which will be drawn to the
# screen. S... | jceipek/Complete-Galactic-Dominion | game_code/DrawableObject.py | DrawableObject.py | py | 5,915 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "GameData.ImageBank",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display.display.get_init",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pygame.display.display",
"line_number": 41,
"usage_type": "attribute"
},
{
"ap... |
19324646724 | import torch
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
import time
from vgg import vgg
from torch.autograd import Variable
import numpy as np
import argparse
import csv
import pickle
import os
import matplotlib.pylab as plt
from resnet import *
from torch.utils.data.sampler import Subset... | gsin4455/pytorch_mod | run_net_pkl_old.py | run_net_pkl_old.py | py | 10,666 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.optim.SGD",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.optim",... |
21547256600 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''A simple script to setup dataset files
'''
import re
import sys
import requests
import hashlib
import shutil
import numpy as np
from pathlib import Path
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.datasets import load_svmlight_file, dump_svmlight_f... | MrinalJain17/ml-tools-project | src/setup.py | setup.py | py | 6,939 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_svmlight_file",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessi... |
12676470496 | """
File: webcrawler.py
Name:
--------------------------
This file collects more data from
https://www.ssa.gov/oact/babynames/decades/names2010s.html
https://www.ssa.gov/oact/babynames/decades/names2000s.html
https://www.ssa.gov/oact/babynames/decades/names1990s.html
Please print the number of top200 male and female o... | gj94851225/andrew-s- | stanCode_project/info from internet/webcrawler.py | webcrawler.py | py | 1,796 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 37,
"usage_type": "call"
}
] |
30070244528 | import os
import sys
assert sys.version_info >= (3, 5) # make sure we have Python 3.5+
import numpy as np
from pyspark.sql import SparkSession, functions, types
from pyspark.sql.types import ArrayType, IntegerType, FloatType, StringType
from pyspark.sql.functions import ltrim, rtrim, trim, regexp_replace
from pyspark... | irisjiayuema/big-data-lab-I-final | NLP/Trials/step1_tfidf.py | step1_tfidf.py | py | 4,016 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.functions.ltrim",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.rtrim",
"line_number": 37,
"usage_type": "call"
},
{
"api_... |
35961998196 | import socket
import threading
import queue
import time
import os
import hashlib
from difflib import SequenceMatcher
import datetime
my_uuid = os.popen("wmic diskdrive get serialnumber").read().split()[-1] # peer'ın uuid'si tutuluyor.(harddisk'e göre)
class loggerThread(threading.Thread): ... | keremdndr/DagitikProject | peer.py | peer.py | py | 16,302 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.popen",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Th... |
21414701396 | from . import has_energy
from . import game_object
from game import world
import pygame
class SpareBattery(has_energy.HasEnergy, game_object.GameObject):
def __init__(self, x, y, battery_loading):
self.battery_loading = battery_loading
game = world.Game.get_instance()
pos = game.get_middle... | buecktobias/RobotBatteryGame | game/spare_battery.py | spare_battery.py | py | 951 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "game.world.Game.get_instance",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "game.world.Game",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "game.world",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "game.get... |
6773822325 | from collections import defaultdict
import collections
from statistics import mean
import multiprocessing as mp
import json
from typing import List
import ray
import torch
import torch.optim as optim
from compiled_jss.CPEnv import CompiledJssEnvCP
from torch.utils.tensorboard import SummaryWriter
from torch.utils.... | ingambe/End2End-Job-Shop-Scheduling-CP | main.py | main.py | py | 33,247 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "Network.Agent",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "torch.no_grad",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "compiled_jss.CPEnv.CompiledJs... |
36118669223 | # Dependencies
from bs4 import BeautifulSoup
import requests
import pymongo
from splinter import Browser
from webdriver_manager.chrome import ChromeDriverManager
import pandas as pd
import json
def scrape_info():
executable_path = {'executable_path': ChromeDriverManager().install()}
browser = Browser('chrome'... | rachelverner/web-scraping-challenge | scrape_mars.py | scrape_mars.py | py | 4,398 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"a... |
70398638907 | """utilities for collision checking
Author: Keisuke Okumura
Affiliation: TokyoTech & OSX
Note:
We used the FLC library at the beginning
so the library includes those wrappers.
However, the latest one does not rely on FCL
because it assumes that all agents and obstacles are 2D circle.
Currently, only "continuous_collid... | omron-sinicx/ctrm | src/ctrm/environment/fcl_utils.py | fcl_utils.py | py | 6,564 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.pad",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "fcl.Sphere",
"lin... |
26863737560 | import json
import os
from app import app, db
from flask import render_template, request, redirect, url_for, flash, session
from flask_login import login_required, login_user, logout_user
from app.forms import UserForm, EmployeeForm, RoomForm
from app.models import User, Employee, Rooms
from app.helper import save_chan... | sachisabya28/Peopleportal | app/views.py | views.py | py | 6,084 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.flash",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "app.models.Employee.query.all",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "app.models.Employ... |
26413762502 | import requests
import json
import numpy as np
import pandas as pd
class Connection:
def __init__(self, api_key):
"""
A class to handle connections to the alphavantage api
Attributes
----------
api_endpoint : str
endpoint for api
api_key : str
... | carsonaj/pymarket | pymarket/api.py | api.py | py | 2,778 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pandas.DatetimeIndex",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_... |
20315010636 | import pandas as pd
import pymysql
class SqlHelper(object):
def __init__(self, host, db, user, pwd, port=3306, charset='utf8'):
"""
:param host: 主机ip地址或者域名
:param db: 该主键的对应的数据库
:param user: 该数据库的用户名称
:param pwd: 该数据库的用户密码
:param port: 该主键的对应的数据库的端口，默认是3306
... | okcdev/okcdev-script | autoRpt/utils/DataSource.py | DataSource.py | py | 2,749 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 78,
"usage_type": "call"
}
] |
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