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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3527241237 | # -*- coding: utf-8 -*-
import pytest
import requests
from jsonschema import validate
url_parts = ["", "/8094", "/search?query=Brewing",
"/autocomplete?query=dog"]
@pytest.mark.parametrize("params", url_parts)
def test_status_code(base_url, params):
"""Проверка кода состояния HTTP"""
target = ... | Eliseev-Max/API_testing | open_brewery_db/test_open_brewery.py | test_open_brewery.py | py | 3,271 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
... |
9788724565 | from app import app
from flask import render_template, redirect, url_for, current_app
from app import db
from app.models import Car
from app.forms import AddForm, SearchForm
import sqlalchemy as sa
import sys
@app.route('/init')
def initialize_db():
connection_uri = app.config['SQLALCHEMY_DATABASE_URI']
engin... | NormanBenedict/hwk2 | hw2-cse-321/app/routes.py | routes.py | py | 2,798 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app.app.config",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.inspe... |
72301275554 | #!/usr/bin/python3
from lxml import html
import requests
import hashlib
import base64
import re
session = "7uvlvl1ci3tho8pdl2pgrp7ag0"
# NOT GETTING THE RIGHT CHALLENGE
def process(data):
print("="*35 + " Input " + "="*35)
print(data)
# can_decode = True
# i = 0
# while can_decode:
# i += 1
# try:
# temp = ... | 0xchase/ctfs | ring0/coding/7-littlelf/solve.py | solve.py | py | 1,345 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_... |
21173035808 | from typing import Dict, List
from app.utils import preprocessor_slot_description_to_value
import torch
from transformers import AutoTokenizer
from app.model.pretrained_models import get_pretrained_model, get_tokenizer
class FlanT5Sacc:
def __init__(self, size: str, device) -> None:
self.name = f"flan-t... | janpawlowskiof/template-based-response-generation-in-tod | app/rankers/flan_t5_ranker.py | flan_t5_ranker.py | py | 2,949 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app.model.pretrained_models.get_pretrained_model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "transformers.AutoTokenizer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.model.pretrained_models.get_tokenizer",
"line_number": 16,
... |
72921016995 | import os
from fabric.api import cd, run, env, task, get
from fabric.contrib.files import exists
from ..repositories import get_repo_name
from fabric.context_managers import prefix
@task
def pip_download_cache(keep_dir=None):
"""Downloads pip packages into deployment pip dir.
"""
if not exists(env.deplo... | botswana-harvard/edc-fabric | edc_fabric/fabfile/pip/tasks.py | tasks.py | py | 3,218 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "fabric.contrib.files.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "fabric.api.env.deployment_pip_dir",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "fabric.api.env",
"line_number": 14,
"usage_type": "name"
},
{
... |
4489182542 | import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.utils import to_categorical
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.applications import ResNet101
from tensorflow.keras.models import Model
from tensorflow.... | Taerimmm/ML | Lotte/06_1_ResNet101.py | 06_1_ResNet101.py | py | 2,392 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "numpy.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.utils.to_categorical",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.loa... |
21447706332 | import torch
import torchvision
import torchvision.transforms as transforms
DATA_PATH = './data'
def get_transform():
transform = transforms.Compose(
[transforms.ToTensor(),
transforms.Normalize((0.5,), (0.5,))])
return transform
def get_dataset(transform, download=True):
train_set = to... | nmd-2000/torchserve-demo | model/utils.py | utils.py | py | 809 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 9,
"usage_type": "call"
},
{
... |
30473794377 | from django import forms
from django.contrib.contenttypes.models import ContentType
from django.db import transaction
from .fields import TaxiField, TaxiSingleField
from .models import TermTaxonomy, TermTaxonomyItem
class TaxiModelMixin(forms.ModelForm):
"""
Mixin used on model forms where a TaxiField is set... | nibon/django-taxi | django_taxi/mixins.py | mixins.py | py | 3,745 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "fields.TaxiField",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fields.TaxiSi... |
6003789556 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
def docclass_test():
cl = fisherclassifier(getwords)
cl.setdb('test1.db')
sampletrain(cl)
cl2 = naivebayes(getwords)
cl2.setdb('test1.db')
cl2.classify('quick money')
if __name__ == '__main__':
import nose
nose.main()
| cametan001/document_filtering | docclass_test.py | docclass_test.py | py | 300 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "nose.main",
"line_number": 14,
"usage_type": "call"
}
] |
71904121953 | import serial
import time
import numpy as np
class DummyHead():
def __init__(self, port):
"""Will work in deg in this class"""
self.ino = serial.Serial('/dev/cu.usbmodem'+str(port), 115200, timeout=1)
time.sleep(2)
self.theta = 0
#need big range here
self.max_left ... | zacharyyamaoka/DE3-Audio | dummy_head.py | dummy_head.py | py | 2,099 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "serial.Serial",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.deg2rad",
"line_number": 43,
"usage_type": "call"
}
] |
71904125153 |
#Imports
from torch.utils.data import Dataset
import pandas as pd
import numpy as np
import librosa
import torch
class AudioLocationDataset(Dataset):
def __init__(self, root="./../data_clip/", csv="./data_clip_label/label.csv", transform=None, use_subset=None, num_bin = 2):
self.root = root
self... | zacharyyamaoka/DE3-Audio | nn_utils/nn_util.py | nn_util.py | py | 6,075 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "librosa.core.load",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "librosa.co... |
17447453062 | from typing import Callable, Dict
from starlette import status
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
from starlette.responses import RedirectResponse, Response
from starlette.types import ASGIApp, Receive, Scope, Send
class LegacyRedirectMiddleware(BaseHTTPMi... | florimondmanca/www | server/web/legacy.py | legacy.py | py | 2,045 | python | en | code | 31 | github-code | 1 | [
{
"api_name": "starlette.middleware.base.BaseHTTPMiddleware",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "starlette.types.ASGIApp",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 15,
"usage_type": "name"
},
{
"... |
24602385004 | from pydoc import text
from flask import Flask, jsonify
import socket
import flask
import netifaces
import subprocess
from flask.globals import request
from uuid import getnode as get_mac
from threading import Thread
import os, sys, json, struct, socket, fcntl, time
import subprocess
from os import listdir
from os.path... | khayalghosh/data | app.py | app.py | py | 8,797 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.modules",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.Flask",
"l... |
20613432599 | import maya.cmds as cmds
from math import *
psphere = cmds.sphere(r=5)
pcube = cmds.polyCube()
pcone = cmds.polyCone()
closestToSurface = cmds.createNode("closestPointOnSurface")
cmds.connectAttr(closestToSurface+'.position', pcube[0]+'.translate')
cmds.connectAttr(pcone[0]+'.translate', closestToSurface+'.inPosition'... | ameliacode/BestTextbookforTechnicalArtists | Chapter 2. Procedure/object_movement.py | object_movement.py | py | 401 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "maya.cmds.sphere",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "maya.cmds.polyCube",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_numb... |
8007887981 | # App de Medição de Indice de Descarte
# Imports
import pickle
import numpy as np
import pandas as pd
import logging, io, os, sys
from sklearn.ensemble import GradientBoostingClassifier
from flask import Flask, render_template, flash, request, jsonify
# pip install flask_httpauth
from flask_httpauth import HTTPBasic... | machadodecastro/animal_death_risk_prediction | app/app.py | app.py | py | 3,775 | python | pt | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_httpauth.HTTPBasicAuth",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "logging.exceptio... |
22735484746 | import cv2
import sys
import os
# 解析gpfpd消息
def parse_gpfpd(gpfpdfile):
with open(gpfpdfile, 'r') as f:
dic1 = []
dic1.append(-1)
dic2 = []
dic2.append([0,0,0,0,-0.202,0,0,0,0,0,0,0,0,0,0,0])
for line in f.readlines():
line = line.strip('\n')
... | guoxxiong/Lane-Image-Stitching-Based-on-Integrated-Inertial-Navigation | rotate.py | rotate.py | py | 2,299 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number... |
15621341184 | import urllib
from bs4 import BeautifulSoup
import re
import csv
url = "http://stats.footballpredictions.net/england/premier/1995-1996/results.html"
htmlfile = urllib.urlopen(url)
soup = BeautifulSoup(htmlfile)
#home team names
hometeam = soup.find_all("td", class_="hometeam")
ht = []
for element in hometeam:
ht.ap... | dviera/replications | Lee/get_data.py | get_data.py | py | 1,233 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "urllib.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.UNICODE",
"line_number":... |
69827179554 | import pandas as pd
from tqdm import tqdm
labels = ["Prevention", "Treatment", "Diagnosis", "Mechanism", "Case Report", "Transmission", "Forecasting", "General"]
df1 = pd.read_csv("org_proc.csv")
df2 = pd.read_csv("covid_dataset_shuffled.csv")
df2 = df2.sample(frac=1).reset_index(drop=True)
print(len(df2))
print(df1["p... | ujeong1/SBP22_DiscourseNet_experiment | creator/matched_csv.py | matched_csv.py | py | 955 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_... |
36571798337 | from flask import jsonify, request
from flask_restful import Resource
from Model import db, VistorChainsTotal, VistorLevel, Vistor, States
from Model import VisitorChainTotalSchema, VistorLevelSchema, VisitorSchema, QuerySchema, StatesSchema, Names
from webargs import fields, validate
from webargs.flaskparser import... | donc310/WidgetApi | resources/Query.py | Query.py | py | 9,773 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "Model.VisitorChainTotalSchema",
"line_number": 17,
"usage_type": "name"
},
{
"api_na... |
43518145068 | from optimize import snopta, SNOPT_options
import numpy as np
from scipy.spatial import Delaunay
import scipy.io as io
import os
import inspect
from dogs import Utils
from dogs import interpolation
from dogs ... | kimukook/SDOGS | dogs/adaptive_snopt_min.py | adaptive_snopt_min.py | py | 18,534 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.zeros",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.int32",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "scipy.spatial.Delaunay",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
... |
41034040354 | from __future__ import annotations
from typing import Any
from typing import Optional
from . import ext
from .._typing import _OnConflictConstraintT
from .._typing import _OnConflictIndexElementsT
from .._typing import _OnConflictIndexWhereT
from .._typing import _OnConflictSetT
from .._typing import _OnConflictWhere... | sqlalchemy/sqlalchemy | lib/sqlalchemy/dialects/postgresql/dml.py | dml.py | py | 10,965 | python | en | code | 8,024 | github-code | 1 | [
{
"api_name": "sql._typing._DMLTableArgument",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "sql.dml.Insert",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "sql.expression.alias",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "uti... |
4327026652 | import ipaddress
import re
import glob
def Return_IP_adr(str):
if re.match("^ ip address ([0-9.]+) ([0-9.]+)$", str):
r = re.match("^ ip address ([0-9.]+) ([0-9.]+)$", str)
return ipaddress.IPv4Network((r.group(1), r.group(2)),strict = False)
else:
return "None"
list_files = glob.glo... | shpinatashan/p4ne | Lab1.6/Lab.py | Lab.py | py | 827 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.match",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "ipaddress.IPv4Network",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 1... |
27429545506 | #REQUIREMENTS
# ffmpeg
# vosk
# youtube-dl
##
import vosk
import os
import sys
import getopt
from traceback import print_exc
from subprocess import Popen, PIPE
import shlex
import json
from vosk import Model, KaldiRecognizer, SetLogLevel
def main(*argv):
try:
#argv = argv[0]
argv = sys.argv[1:] ... | giraycoskun/vosk-ASR-app | app/commandline_tool.py | commandline_tool.py | py | 3,878 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "getopt.getopt",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
33559442185 | from django.contrib.auth.models import User
from django.db import models
from django.db.models import Index
class EquipmentType(models.Model):
"""
Тип оборудования
"""
name = models.CharField(max_length=255, verbose_name='Type name')
serial_number_mask = models.CharField(max_length=50, verbose... | KotelnikovKP/equipment | backend/models.py | models.py | py | 2,379 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": ... |
20485270061 | import requests
from bs4 import BeautifulSoup
import pandas as pd
def extract(page):
url = f'https://in.indeed.com/jobs?q=python+developer&l=India&start={page}'
res = requests.get(url)
# return res.status_code
soup = BeautifulSoup(res.content, 'html.parser')
return soup
job_list = [... | ashish-ash303/Indeed-Scraping | indeed.py | indeed.py | py | 1,067 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 45,
"usage_type": "call"
}
] |
18286950948 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sqlite3
import random
import datetime
import os
current_file_path = os.path.realpath(__file__)
current_directory_path = os.path.dirname(current_file_path)
resources_directory_path = os.path.join(current_directory_path, '..', 'resources')
db_directory_path = os.path.joi... | PlytonRexus/vigilant-carnival | src/main.py | main.py | py | 50,771 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.realpath",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
751666782 | import argparse
import re
import os
import pickle
'''--------------------Parsing argumnts--------------------'''
parser = argparse.ArgumentParser(description="Этот код создаёт модель, обученную на текстах песен")
parser.add_argument(
'--input_dir',
type=str,
help="Путь к папке с песнями"
)
pars... | DommeUse/Text-Generator | train.py | train.py | py | 1,508 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_numb... |
2299118867 | import os
import xml.etree.ElementTree as ET
import json
def append_barcode(results, barcode):
result = {}
result["attrib"] = barcode.attrib
Values = get_elements(barcode, "Value")
for Value in Values:
result["text"] = Value.text
result["value_attrib"] = Value.attrib
resu... | xulihang/Barcode-Reading-Performance-Test | utils/create_ground_truth_from_xml.py | create_ground_truth_from_xml.py | py | 1,176 | python | en | code | 11 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.... |
21237918702 | import os
import queue
import json
from jsonschema import validate
import collections
class TestCase():
"""Attributes of a single test.
Args:
test_data (dict): data for a single test, parsed from JSON
test declaration.
"""
__test__ = False #: Ignored by Pytest
... | MaxenceCaronLasne/unitbench | unitbench/testdeclaration.py | testdeclaration.py | py | 4,307 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "queue.Queue",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"li... |
1093253833 | import sys
import os
sys.path.insert(0, os.getcwd() + '/../keggimporter')
import logging
import logging.handlers
from Config import *
from Importer import *
config = Config()
config.loadConfiguration()
conf = config.getConfigurations()
logFile = conf.get( 'log', 'info' )
log = logging.getLogger('')
log.setLevel(lo... | alexanderfranca/keggimporter | bin/execute-importer.py | execute-importer.py | py | 1,573 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_nu... |
7946558670 | import warnings
import argparse
import mlflow
from mlflow.tracking.client import MlflowClient
warnings.filterwarnings("ignore", category=FutureWarning)
from custom_preproc_classes.config.core import config
def parse_bool(to_production: str):
if to_production == "T":
return True
elif to_production ==... | afanzott/Data_Science_Best_Practice | register_mlflow_model.py | register_mlflow_model.py | py | 1,955 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "mlflow.set_tracking_uri",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "mlflow.register_model",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "... |
72551570275 | from enum import IntEnum, auto
from typing import Tuple, Sequence
from unsserv.common.utils import parse_node
from unsserv.common.structs import Node
from unsserv.common.rpc.structs import Message
from unsserv.common.rpc.protocol import AProtocol, ITranscoder, Command, Data, Handler
from unsserv.extreme.searching.stru... | aratz-lasa/py-unsserv | unsserv/extreme/searching/protocol.py | protocol.py | py | 3,158 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "enum.IntEnum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "unsserv.common.rpc.protocol.ITransco... |
8620148120 | from django.core.management.base import BaseCommand
from home2_app.models import Client
class Command(BaseCommand):
help = "edit client name "
def add_arguments(self, parser):
parser.add_argument('name', type=str, help="Client_name")
parser.add_argument('new_name', type=str, help="New_Client... | vit21513/django_homework | home_project/home2_app/management/commands/edit_client_name.py | edit_client_name.py | py | 698 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "home2_app.models.Client.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "home2_app.models.Client.objects",
"line_number": 15,
"usage... |
15345500601 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
print("Hello World!")
# In[2]:
import librosa
import numpy as np
import matplotlib.pyplot as plt
import IPython.display as ipd
import librosa.display
from IPython.display import Audio
from scipy import stats
# In[3]:
y, sr = librosa.load("yours.mp3")
# In[4]:
... | kirtisubs06/AI-Music-Research-Code | MusicAIJupyterNotebook.py | MusicAIJupyterNotebook.py | py | 13,649 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "librosa.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "IPython.display.Audio",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "librosa.onset.onset_strength",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "libro... |
75257613153 | # goal
# 실패율이 높은 스테이지부터 내림차순으로 스테이지의 번호가 담겨있는 배열을 return 하도록 solution 함수
# description
# 실패율 - 스테이지에 도달했으나 아직 클리어하지 못한 플레이어의 수 / 스테이지에 도달한 플레이어 수
# 전체 스테이지의 개수 N, 게임을 이용하는 사용자가 현재 멈춰있는 스테이지의 번호가 담긴 배열 stages가 매개변수
# condition
# 스테이지의 개수 N은 1 이상 500 이하의 자연수이다.
# stages의 길이는 1 이상 200,000 이하이다.
# stages에는 1 이상 N + 1 이하의... | jum0/ProblemSolvingPython | Programmers/42889.py | 42889.py | py | 1,713 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "collections.Counter",
"line_number": 23,
"usage_type": "call"
}
] |
74633942113 | """
Django command to wait for DB to be available
"""
import time
# Shows error but the psycopg2 is successfully installed on docker
from psycopg2 import OperationalError as Psycopg2Error
from django.db.utils import OperationalError
from django.core.management.base import BaseCommand
class Command(BaseCommand):
... | Uchiha-Itachi0/django-recipe-api | app/core/management/commands/wait_for_db.py | wait_for_db.py | py | 898 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "django.db.utils.OperationalError",
"line_number": 29,
"usage_type": "na... |
11420247228 | """
A script that compares image histograms quantitively. The user must specify either a single image or a directory (jpg/png).
"""
# system tools
import os
import argparse
import sys
# image and data tools
import cv2
import numpy as np
import glob
import pandas as pd
# plotting tools
import matplotlib.pyplot as plt... | sarah-hvid/Vis_assignment1 | src/hist_comparison.py | hist_comparison.py | py | 5,910 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.calcHist",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "cv2.normalize",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.NORM_MINMAX",
... |
17381459463 | import pyautogui as pag
from collections import namedtuple,Counter
import random
"""
https://asyncfor.com/posts/doc-pyautogui.html
screenWidth, screenHeight = pyautogui.size()
currentMouseX, currentMouseY = pyautogui.position()
pyautogui.moveTo(100, 150)
pyautogui.click()
# 鼠标向下移动10像素
pyautogui.moveRel(None, 10)
pyau... | dkluffy/Gamescripts | liverbot/devicebind.py | devicebind.py | py | 1,283 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.namedtuple",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pyautogui.FAILSAFE",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pyautogui.moveTo",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "... |
42472504231 | import json
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views import View
from django.views.generic import FormView
from django.views.generic import ... | ivn-svn/pionergallery | pionergallery/pioner_gallery/views.py | views.py | py | 13,406 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "django.views.generic.Tem... |
34666592380 | """
Useful functions for processing SMBL Data
"""
import requests
import sys
import re
import libsbml
import xmltodict
import json
def delete_doubles(arr):
"""
:param arr: list()
:return: Given list, without duplicated entries
"""
arr2 = []
for element in arr:
if not arr2.__contains__(... | JosuaCarl/Script_Assisted_Modeling | helper_functions.py | helper_functions.py | py | 9,195 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "re.search",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 87,
... |
44186623516 | import tensorflow as tf
import pickle
from metrics import PSNRMean, SSIMMean
from losses import ltm_loss
import utils
from models.tone_curve_net import ToneCurveNetConv
from models.residual_net import LTMNetResConv
import os
os.environ['TFHUB_MODEL_LOAD_FORMAT'] = 'COMPRESSED'
def vgg_layers(layer_names):
""" Cre... | Atakhan2000/ltmnet | train.py | train.py | py | 3,206 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.applications.VGG19",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name... |
30151381555 | import numpy as np
import cv2
import matplotlib.pyplot as plt
def getScoreImg():
nums = cv2.imread("numbers.png")
ret, nums = cv2.threshold(nums,127,255,cv2.THRESH_BINARY_INV)
nums = cv2.cvtColor(nums, cv2.COLOR_BGR2GRAY)
top = np.zeros((1,530))
nums = np.concatenate((top,top,top,top, nums, top,top... | fancent/CSC420 | Project/digitRecognition/numberSlicing.py | numberSlicing.py | py | 2,270 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.threshold",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_BINARY_INV",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"... |
28462169332 | import pygame
import Config
import tile_map
import light_handling
win = pygame.display.set_mode(Config.WINDOW_SIZE)
clock = pygame.time.Clock()
map = tile_map.Tile_map()
light = light_handling.light_handling(map.walls, map.points)
flag = True
while flag:
clock.tick(Config.FPS)
for event in pygame.event.get(... | XT60/Dynamic-lights-2D | Loop.py | Loop.py | py | 672 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Config.WINDOW_SIZE",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
10110647533 | import hashlib
import imp
import tarfile
from typing import Iterable
import warnings
import zipfile
from pathlib import Path
import shutil
from urllib.parse import urlparse
from urllib.request import Request, urlopen
import warnings
import openmc.data
_BLOCK_SIZE = 16384
def state_download_size(download_size, uncom... | openmc-data-storage/openmc_data | src/openmc_data/utils.py | utils.py | py | 6,546 | python | en | code | null | github-code | 1 | [
{
"api_name": "warnings.warn",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "warnings.catch_warnings",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "warnings.simplefilter",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "openmc.da... |
20085148878 | """
Test the rendering mechanism to see if inquirer works
"""
from unittest.mock import Mock, create_autospec, patch
import inquirer
from pytest import fixture
from hacenada import render, session
@fixture
def renderer():
rr = render.InquirerRender()
return rr
def test_inquirer_type(renderer):
"""
... | corydodt/Hacenada | src/hacenada/test/test_render.py | test_render.py | py | 1,612 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "hacenada.render.InquirerRender",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "hacenada.render",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "inquire... |
73205778914 | import sys
from collections import deque
n, w, L = map(int, input().split())
weight = deque(map(int, sys.stdin.readline().split())) # 트럭 무게 리스트 (=> 대기)
bridge = deque() # 다리 위
for i in range(w-1): # w-1만큼 0으로 채우고
bridge.append(0... | eunjng5474/Study | week04/B_13335.py | B_13335.py | py | 1,902 | python | ko | code | 2 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
... |
44190566884 | from flask import Flask
from flask import redirect
from flask import render_template
from flask import url_for
from flask.ext.script import Manager
from flask.ext.sqlalchemy import SQLAlchemy
from getpass import getuser
from json ... | dark-ritual/cs373-idb | app/app.py | app.py | py | 24,898 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "getpass.getuser",... |
3617920960 | from re import X
import torch
import torch.nn as nn
from torchvision.transforms import functional as F
from PIL import Image
from models.MIMOUNet import build_net
from models.unet import DeblurUNet
from models.face_model.face_gan import FaceGAN
from skimage.metrics import peak_signal_noise_ratio
import cv2
import os... | ckirchhoff2021/ImageSynthesis | MMU-DDP/gen2.py | gen2.py | py | 4,212 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "models.face_model.face_gan.FaceGAN",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "models.unet.DeblurUNet",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "models.MIMOUNet.build_net",
"line_number": 44,
"usage_type": "call"
},
{
... |
34121568699 | import time
import PySimpleGUI as sg
from classes.logger import Logger
from classes.microscope_mover import MicroscopeMover, mover
from classes.scanner import Scanner
from classes.solis import Automatization
from gui.helpers import disable_element, enable_element, get_load_path, str_to_int
from gui.scanner_gui import... | LZP-2020-1-0200/Solis-XY | scanner.py | scanner.py | py | 4,903 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "classes.logger.Logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "classes.scanner.Scanner",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "classes.microscope_mover.MicroscopeMover",
"line_number": 27,
"usage_type": "name"
},
{... |
27781889678 | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 28 20:19:55 2019
@author: mjkiqce3
"""
import numpy as np
import multiprocessing
from multiprocessing import Pool
def computeerr(n,regressor,cc,inputtest):
for i in range(n): # We can parallelise here
datause=cc[:,:,i]
X=datause[:,0:10]
... | clementetienam/Machine-Learning-for-Model-Reduction-to-Fustion-Simulation-data_2 | Clement_Codes/clementpara.py | clementpara.py | py | 899 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.reshape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Pool",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "multiprocessing.cpu_count",
"line_number": 27,
"usage_type": "call"
}
] |
19874279600 | import cv2
import numpy as np
#Fill the screen with digits
def fill_digits_motion(num_array , coor_array , indexes , tos):
cap=cv2.VideoCapture(0)
if cap.isOpened() : ret,frame = cap.read()
else:
ret = False
ret,frame1 = cap.read()
ret,frame2 = cap.read()
diff = ... | YashIndane/AR-Sudoku-Solver | python_files/motion_digits2.py | motion_digits2.py | py | 1,761 | python | en | code | 26 | github-code | 1 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.absdiff",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"li... |
72243973154 | from google.appengine.ext import webapp
from google.appengine.ext.webapp import util
from google.appengine.api import urlfetch
from django.utils import simplejson as json
base = 'https://github.com/login/oauth/access_token'
client_id = '?client_id='
redirect_url = '&redirect_uri=https://githubanywhere.appspot.com/call... | abraham/github-anywhere | appengine/main.py | main.py | py | 2,176 | python | en | code | 40 | github-code | 1 | [
{
"api_name": "google.appengine.ext.webapp.RequestHandler",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.webapp",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.webapp.RequestHandler",
"line_number": 16,
... |
4644928169 | import base64
import glob
import os
import os.path as op
import posixpath as pp
from urllib.parse import urlencode, urljoin
import pandas as pd
import requests
class EncodeClient:
BASE_URL = "http://www.encodeproject.org/"
# 2020-05-15 compatible with ENCODE Metadata at:
METADATA_URL = "https://www.enc... | open2c/bioframe | bioframe/sandbox/clients.py | clients.py | py | 5,776 | python | en | code | 127 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "os.path.isdir",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
... |
74473377953 | from django import forms
from .models import *
class StockCreateForm(forms.ModelForm):
class Meta:
model=Stock
fields=['category','item_name','quantity']
#prevent saving form with blank details
def clean_category(self):
category=self.cleaned_data.get('category')
if not category:
raise forms.ValidationErr... | graham218/Django-simple-stock-mgmt | stock_management_system/stockmgmt/forms.py | forms.py | py | 3,448 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.forms.ValidationError",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "d... |
74826946272 | from setuptools import setup, find_packages
with open('README.rst', encoding='utf-8') as f:
long_description = f.read()
setup(
name='mycroft-ekylibre-utils',
version='0.9',
packages=find_packages(),
url='http://github.com/ekylibre',
author='Ekylibre',
author_email='rdechazelles@ekylibre.co... | ekylibre/mycroft-ekylibre-utils | setup.py | setup.py | py | 732 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
29461251296 | from __future__ import division
import numpy
import matplotlib.cm as cm
import matplotlib.pyplot as plt
#import imp
import os,sys
import numpy as np
#importlibutil
#from scipy.optimize import minimize
from scipy.optimize import basinhopping
import random
import math
micron=1e-6
sys.path.append("/opt/... | jobayer07/integrated_photonics_design_optimization | optimize_polarization_rotator_step2.py | optimize_polarization_rotator_step2.py | py | 3,159 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
72361816355 | import json
import re
def is_empty_line(line):
pattern = r'^\s*$' # 匹配只包含空白字符的行
return re.match(pattern, line) is not None
def is_digit_line(line):
pattern = r'^\s*\d+\s*$' # 匹配只包含空白字符的行
return re.match(pattern, line) is not None
if __name__ == '__main__':
items = []
with open('./openssl... | zhougy0717/utools_errno | util/parse_openssl_tls_errno.py | parse_openssl_tls_errno.py | py | 1,081 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.match",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 38,
"usage_type": "call"
}
] |
72185227553 | from flask import Flask;from flask_ipban import IpBan;from flask_limiter import Limiter;from flask_limiter.util import get_remote_address
from blueprint.main import main
from socket import gethostname
from os import getcwd, path
from yaml import safe_load
import logging, secrets
def loadConfig():
PATH = (g... | JawadPy/flask-tokyo | app.py | app.py | py | 1,348 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "yaml.safe_load",
"line_number": 1... |
73088426594 | import asyncio
import logging
import signal
import session
log = logging.getLogger(__name__)
logging.basicConfig(level=logging.DEBUG)
class MyClientSession(session.ClientSession):
async def on_connected(self):
self.update_sock.subscribe('test.topic')
self.client_state = session.ClientSessionStat... | hippysurfer/pyqtzmq | test_client.py | test_client.py | py | 1,856 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "session.ClientS... |
22386365690 | import random
import torch
import cv2
import json
import os
from typing import List, Tuple
import asset
from torch.utils.data import Dataset, DataLoader, SubsetRandomSampler
from asset.utils import dmsg,getIfAugmentData
import imgaug.augmenters as iaa
import numpy as np
from tqdm import tqdm
import random as rand
from ... | AIS-Bonn/Local_Freq_Transformer_Net | lfdtn/dataloaders.py | dataloaders.py | py | 22,110 | python | en | code | 14 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torchvision.datasets.MNIST",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 37,
"usage_type": "name"
},
{
"api_name... |
72861968355 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
import os
import sys
import re
import codecs
import chardet
def convert(filename, target_encoding="UTF-8"):
try:
content = codecs.open(filename, 'r').read()
source_encoding = chardet.detect(content)['encoding']
if content is not '' and source_... | xin0111/PythonTools | change_encoding.py | change_encoding.py | py | 1,319 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "codecs.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "chardet.detect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number... |
6044731535 | """
Michael Neilson <github: nichael-meilson>
2022-06-30
"""
import pytest
from httpx import AsyncClient
from fastapi import FastAPI
from starlette.status import (
HTTP_201_CREATED,
HTTP_404_NOT_FOUND,
HTTP_422_UNPROCESSABLE_ENTITY,
HTTP_200_OK,
)
from app.models.articles import CreateArticle, Article... | nichael-meilson/camel2 | src/tests/test_articles.py | test_articles.py | py | 4,126 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytest.mark",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "app.models.articles.CreateArticle",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name":... |
23207730387 | import dgl
import unittest
import backend as F
from dgl.dataloading import AsyncTransferer
@unittest.skipIf(F._default_context_str == 'cpu',
reason="CPU transfer not allowed")
def test_async_transferer_to_other():
cpu_ones = F.ones([100,75,25], dtype=F.int32, ctx=F.cpu())
tran = AsyncTransfer... | taotianli/gin_model.py | tests/compute/_test_async_transferer.py | _test_async_transferer.py | py | 975 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "backend.ones",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "backend.int32",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "backend.cpu",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dgl.dataloading.AsyncTran... |
30478138727 | #!/usr/bin/env python
from __future__ import division
__author__ = "Sam Way"
__copyright__ = "Copyright 2014, The Clauset Lab"
__license__ = "BSD"
__maintainer__ = "Sam Way"
__email__ = "samfway@gmail.com"
__status__ = "Development"
import warnings
from numpy import array, asarray, unique, bincount, min, floor, zero... | samfway/biotm | misc/util.py | util.py | py | 2,307 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.asarray",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.bincount",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_numbe... |
10880342788 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse
from django.template import loader
from django.template.loader import get_template
from polls.models import Food_Place_ID_Yelp,Food_Place_ID_Zomato, Recipe, User_Detail
from django.... | aquddus95/API-Integration | API-Integration/finalproject/polls/views.py | views.py | py | 8,599 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "polls.models.Food_Place_ID_Yelp.objects.filter",
"line_number": 33,
"usage_t... |
7695455337 | from .interpretpicklist import Interpretpicklist
from . import dateutils
from datetime import datetime
from . import xmlutilities
from synthesis.exceptions import DataFormatError#, SoftwareCompatibilityError
from . import logger
#from sys import version
from . import dbobjects
from .writer import Writer
from zope.inter... | 211tbc/synthesis | src/svcpointxml5writer.py | svcpointxml5writer.py | py | 26,257 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetim... |
1914061684 | """
NOTE:
You will have to install the Haskell program find-clumpiness on your machine before running this script.
For more info, see: https://github.com/GregorySchwartz/find-clumpiness
Also, this script calls the find-clumpiness program using the terminal via linux commands. The commands may not work if y... | DrexelSystemsImmunologyLab/Pediatric_gut_homeostatsis_paper | Supplemental/preprocessing/get_clumpiness_by_POD.py | get_clumpiness_by_POD.py | py | 27,497 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_pickle",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pandas.read_pickle",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pandas.read_... |
8500981124 | #!/usr/bin/env python
# coding: utf-8
# # COEN 140 Final Project - Music Genre Classifer
# In[241]:
import os
import json
import numpy as np
import scipy
import pandas as pd
import librosa as lb
import warnings
from sklearn.model_selection import train_test_split
from sklearn.discriminant_analysis import LinearDis... | amiller5233/COEN140-genre-classifier | final_project.py | final_project.py | py | 10,097 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"l... |
15918005232 | from .MetadataEnhancer import MetadataEnhancer
from utils import _try_for_key
class VariableEnhancer(MetadataEnhancer):
def __init__(self, metadata: dict, enrichment_table: dict):
super().__init__(metadata, enrichment_table)
def enhance_metadata(self):
""" enhance_metadata implementation for... | odissei-data/metadata-enhancer | src/enhancers/VariableEnhancer.py | VariableEnhancer.py | py | 1,895 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "MetadataEnhancer.MetadataEnhancer",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "utils._try_for_key",
"line_number": 21,
"usage_type": "call"
}
] |
25772535003 | #!/usr/bin/python
from __future__ import print_function
import atexit
from bcc import BPF
import os
from datetime import datetime
# load BPF program
b= BPF(src_file="kwtracer.c")
b.attach_kprobe(event="iov_iter_copy_from_user_atomic",fn_name="trace_do_user_space_write")
b.attach_kprobe(event="submit_bio", fn_name="t... | BoKyoungHan/kworker_tracer | kwtracer.py | kwtracer.py | py | 884 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "bcc.BPF",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.today",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.system",
"li... |
32774847100 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 25 12:08:01 2018
@author: Jim
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn import linear_model
"""
read file
"""
csvfile = "Concrete_Data.csv"
data = pd.read_csv(csvfile)
(row,column)=data.shape
X_train=data['Age... | startearjimmy/4.Machine-learning | MLHW3/HW3_1.py | HW3_1.py | py | 1,090 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "skl... |
4703069650 | import requests
import json
from dotenv import load_dotenv
import os
import ipdb
import traceback
from datetime import datetime
import pandas as pd
import matplotlib.pyplot as plt
load_dotenv()
notion_token = os.environ.get("NOTION_TOKEN")
database_id = os.environ.get("NOTION_DB_ID")
headers = {
"Authorization": ... | Retro-Devils-Media/coleco | main.py | main.py | py | 3,544 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
... |
2673451372 | # This file is executed on every boot (including wake-boot from deepsleep)
import esp
esp.osdebug(None)
#import webrepl
# webrepl.start()
from lib.wifiManager.wifiManager import WifiManager
wifiM = WifiManager()
if wifiM.connect():
print("********WIFI is Connected**********")
else:
wifiM.createAP()
print... | juanpc13/uPython-WebServer | boot.py | boot.py | py | 360 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "esp.osdebug",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "lib.wifiManager.wifiManager.WifiManager",
"line_number": 9,
"usage_type": "call"
}
] |
41054306636 | import boto3
from botocore.exceptions import ClientError
import pytest
from framework_from_conformance_pack import ConformancePack
@pytest.mark.parametrize(
"in_name, error_code",
[("test-name", None), ("garbage", None), ("test-name", "TestException")],
)
def test_get_conformance_pack(make_stubber, monkeypat... | awsdocs/aws-doc-sdk-examples | python/example_code/auditmanager/test/test_framework_from_conformance_pack.py | test_framework_from_conformance_pack.py | py | 3,065 | python | en | code | 8,378 | github-code | 1 | [
{
"api_name": "boto3.client",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "framework_from_conformance_pack.ConformancePack",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 27,
"usage_type": "call"
},
{
"api_na... |
25504175395 | import logging
import sys
from telemetry.value import histogram
from telemetry.value import histogram_util
from telemetry.value import scalar
from metrics import Metric
_HISTOGRAMS = [
{
'name': 'V8.MemoryExternalFragmentationTotal', 'units': 'percent',
'display_name': 'V8_MemoryExternalFragment... | hanpfei/chromium-net | tools/perf/metrics/memory.py | memory.py | py | 10,223 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "telemetry.value.histogram_util.RENDERER_HISTOGRAM",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "telemetry.value.histogram_util",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "telemetry.value.histogram_util.RENDERER_HISTOGRAM",
"li... |
21358137398 | import neo4j.exceptions
from reporting import user_watcher
def test_watch_users(mocker):
runner = user_watcher.app.test_cli_runner()
mocker.patch(
"reporting.user_watcher._is_shutdown",
side_effect=[False, False, True, True],
)
bootstrap_mock = mocker.patch("reporting.user_watcher._bo... | paypay/seizu | tests/unit/reporting/user_watcher_test.py | user_watcher_test.py | py | 707 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "reporting.user_watcher.app.test_cli_runner",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "reporting.user_watcher.app",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "reporting.user_watcher",
"line_number": 7,
"usage_type": "name"
... |
71420523233 | from django.urls import path
from . import views
app_name = 'blog'
urlpatterns = [
path('', views.MainListView.as_view(), name='index'),
path('about/', views.AboutUsView.as_view(), name='about'),
path('feedback/', views.FeedBackFormView.as_view(), name='feedback'),
path('feedback/success/', views.Feed... | axkiss/FirstBlog | blog_app/urls.py | urls.py | py | 829 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
28537185288 | # -*- coding: utf-8 -*-
import sys
sys.dont_write_bytecode = True
import os
import torch
from core.config import Config
from core import Test
PATH = "/.../.../...-bgl_time-tcniniNet-2-5-Feb-27-2023-18-07-28"
VAR_DICT = {
"test_epoch": 5,
"device_ids": "0",
"inner_train_iter": 100,
"n_gpu": 1,
"test... | Aquariuaa/FSLog | Fine_Tuning_Test.py | Fine_Tuning_Test.py | py | 852 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.dont_write_bytecode",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "core.Test",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "core.config.Config",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join... |
32232435595 | #!/usr/bin/env python
# coding: utf-8
# # Raster data analysis
#
# Raster data represent a matrix of cells (or pixels) organized into rows and columns (or a grid). Grid cells can represent data that changes **continuously** across a landscape (surface) such as elevation, air temperature, or . reflectance data from sa... | owel-lab/programming-for-sds-site | book/_build/jupyter_execute/demos/09a-demo.py | 09a-demo.py | py | 12,182 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rasterio.open",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 159,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 159,
"usage_type": "name"
},
{
"api_name": "matplotl... |
14573968338 | # import library and abbreviate pyplot for easier use
import matplotlib.pyplot as plt
# list of data we'll be plotting
inputValues = [1, 2, 3, 4, 5]
squares = [1, 4, 9, 16, 25]
# using a built-in style
# note: this needs to go BEFORE running subplots() and plot()
plt.style.use('dark_background')
# fig... | jamesastephenson/python-2022 | matplotlib 1 (8-13-22)/mpl_squares.py | mpl_squares.py | py | 1,027 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
17956866528 | from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from urllib.parse import quote
import sys
from pyquery import PyQu... | jtyao/jtyao_python | match.py | match.py | py | 4,416 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "config.get_webdriver",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.presence_of_element_located",
... |
6307151716 | import torch
import numpy as np
import torch.nn as nn
from itertools import product, permutations
try:
from clarity.enhancer.compressor import CompressorTorch
from clarity.enhancer.nalr import NALRTorch
LIB_CLARITY = True
except ModuleNotFoundError:
print("There's no clarity library")
LIB_CLARITY =... | ooshyun/Speech-Enhancement-Pytorch | src/loss.py | loss.py | py | 4,227 | python | en | code | 9 | github-code | 1 | [
{
"api_name": "torch.sum",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.log10",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn.Parameter",
"line_numbe... |
25723956292 | '''
Comparing single layer MLP with deep MLP (using TensorFlow)
'''
import numpy as np
import pickle
from math import sqrt
from scipy.optimize import minimize
# Do not change this
def initializeWeights(n_in,n_out):
"""
# initializeWeights return the random weights for Neural Network given the
# number of ... | neeradsomanchi/HandWrittenDigitsClassification | facennScript.py | facennScript.py | py | 6,487 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.sqrt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_n... |
29341417351 | import numpy as np
import cv2
from matplotlib import pyplot as plt
I = cv2.imread('/home/kanish/Desktop/image.png', cv2.IMREAD_GRAYSCALE)
_, It = cv2.threshold(I, 0., 255, cv2.THRESH_OTSU)
It = cv2.bitwise_not(It)
_, labels = cv2.connectedComponents(I)
result = np.zeros((I.shape[0], I.shape[1], 3), np.uint8)
for i ... | kanishmathew777/image_processing | backend/image_processing_backend/pathfinder/join.py | join.py | py | 591 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.THRESH_OTSU",
... |
41028200186 | from fastapi import status, FastAPI, Request
from fastapi.exceptions import RequestValidationError
import os
from common.enum import MessageEnum
from common.constant import const
import logging
from .response_wrapper import resp_err
import traceback
logger = logging.getLogger(const.LOGGER_API)
def biz_exception(app... | awslabs/stable-diffusion-aws-extension | middleware_api/lambda/inference/common/exception_handler.py | exception_handler.py | py | 1,722 | python | en | code | 111 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "common.constant.const.LOGGER_API",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "common.constant.const",
"line_number": 11,
"usage_type": "name"
},
{
"api... |
25043375529 | import cv2
import numpy as np
import os
import time
import pickle
from face_detection import RetinaFace
path = '../data/29--Students_Schoolkids/'
# model = 'resnet50'
model = 'mobilenet0.25'
scale = '1'
name = 'retinaFace'
count = 0
CONFIDENCE = 0.1
if __name__ == "__main__":
for fn in os.listdir(path):
fi... | thisKK/Real-time-multi-face-recognition-base-on-Retinaface | faceDetection/WRILD_FACE.py | WRILD_FACE.py | py | 1,545 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
... |
33195953151 | import unittest
from mock import ANY, Mock, patch
from captainhook import pre_commit
class TestMain(unittest.TestCase):
def setUp(self):
self.get_files_patch = patch('captainhook.pre_commit.get_files')
get_files = self.get_files_patch.start()
get_files.return_value = ['file_one']
... | alexcouper/captainhook | test/test_pre_commit.py | test_pre_commit.py | py | 2,423 | python | en | code | 54 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mock.patch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mock.patch",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"line_num... |
16165826774 | # coding: utf-8
from mock import mock
from django.contrib.auth.models import User
from django.conf import settings
from rest_framework import status
class AuthHelperMixin(object):
def setUp(self):
super(AuthHelperMixin, self).setUp()
self.requests_patcher = mock.patch('sw_rest_auth.permissions.r... | telminov/sw-django-rest-auth | sw_rest_auth/tests/helpers.py | helpers.py | py | 3,698 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "mock.mock.patch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mock.mock",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.AUTH_SERVICE_CHECK_PERM_URL",
"line_number": 23,
"usage_type": "attribute"
},
{
"a... |
29851347028 | from time import sleep
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import argparse
from msedge.selenium_tools import Edge, EdgeOptions
import pandas as pd
import platform
import datetime
import pandas as pd
import multiprocessing as mp
from functools import partial
import sys
fr... | alexZajac/airlines_performance | explanations_professors/tweeter_data.py | tweeter_data.py | py | 11,622 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "time.sleep",
"line_number": 118,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "platform.system",
"line_number": 135,
"usage_type": "call"
},
{
"api_name": "platform.system",
"... |
41012383162 | import json
import time
import pymongo
import threading
from .TwitchWebsocket.TwitchWebsocket import TwitchWebsocket
from .FlushPrint import ptf
ws = None
statsDict = {}
statsLock = None
statsThread = None
colRewards = None
# True if user is a mod or the broadcaster
def CheckPrivMod(tags):
return (tags["mod"] ==... | ThomasCulotta/PureBot | Utilities/TwitchUtils.py | TwitchUtils.py | py | 4,299 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 60,
... |
32411124306 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
class DataVisualization(object):
def __init__(self, data_frame) :
self.data_frame = data_frame
def view_histogram_by_column(self, column, title):
try:
sns.set(style='whitegrid')
f, ax = plt.subplots(1,1, figsize=(... | jaznamezahidalgo/Libreria-EDA | Visualization.py | Visualization.py | py | 1,526 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "seaborn.set",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "seaborn.hist... |
8682854808 | import numpy as np
import matplotlib.pyplot as plt
def f(x, y):
return x - y
def euler_method(f, x0, y0, h, num_steps):
x_values = [x0]
y_values = [y0]
for _ in range(num_steps):
x_next = x_values[-1] + h
y_next = y_values[-1] + h * f(x_values[-1], y_values[-1])
... | danielkatz19/ODE-s-Runge-Kutta | Correct_Math 312_Group Delta/Commented Code/example_code 2_commented .py | example_code 2_commented .py | py | 711 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mat... |
13008619672 | # -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from web_news.misc.spiderredis import SpiderRedis
from web_news.items import SpiderItem
from scrapy.loader import ItemLoader
class BjdSpider(SpiderRedis):
name = 'bjd'
al... | qiangber/web_news | web_news/spiders/bjd.py | bjd.py | py | 1,814 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "web_news.misc.spiderredis.SpiderRedis",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "scrapy.spiders.Rule",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scrapy.linkextractors.LinkExtractor",
"line_number": 16,
"usage_type": "call"
... |
22123114317 | import unittest
from typing import List
'''
build on top of leetcode 84
cite from https://leetcode.com/problems/maximal-rectangle/discuss/122456/Easiest-solution-build-on-top-of-leetcode84
'''
class Solution:
def maximalRectangle(self, matrix: List[List[str]]) -> int:
if(len(matrix) == 0 or len(matrix[0]) ... | AllieChen02/LeetcodeExercise | Stack/P85MaximalRectangle/Maximal Rectangle.py | Maximal Rectangle.py | py | 1,302 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
}
] |
36972627167 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import division
import browser
import argparse
import sys
from mutagen import File
from mutagen.mp3 import HeaderNotFoundError
import os
DEFAULT_FOLDER = './'
def update_progress(progress, total):
percent = int(progress / total * 100)
sys.stdout.w... | alexandre-p/music-audit | lib/tags_clean_up.py | tags_clean_up.py | py | 2,007 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.stdout.write",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"l... |
599630674 | from __future__ import print_function
import pysb.bng
import numpy
import sympy
import re
import ctypes
import csv
import scipy.interpolate
import sys
from pysundials import cvode
# Thee set of functions set up the system for annealing runs
# and provide the runner function as input to annealing
def spinner(i):
... | pysb/pysb | pysb/deprecated/varsens_sundials.py | varsens_sundials.py | py | 20,542 | python | en | code | 152 | github-code | 1 | [
{
"api_name": "sys.stdout.flush",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pysb.bng.bng.generate_equations",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pysb... |
14284120751 | # yourapp/views.py
from django.shortcuts import render, redirect
from django.http import HttpResponse
from .scripts import main as script
from .scripts import validate
from .scripts.visualization import visualize
import os
import pandas as pd
data_processed = False
image_directory = os.path.join(os.getcwd(), 'yourapp... | SartajBhuvaji/Data-Science-Research-FlaskApp | djangoapp/yourapp/views.py | views.py | py | 5,774 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"... |
29028858099 | from datetime import datetime
from classes.field import Field
class Birthday(Field):
@Field.value.setter
def value(self, value=None):
if value and type(value) == str:
value = value.replace('.', '-')
try:
value = datetime.strptime(value, '%d-%m-%Y').date()
... | IrinaShushkevych/classes_bot_helper | classes/birthday.py | birthday.py | py | 653 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "classes.field.Field",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "class... |
36170445031 | import logging
from typing import List
from volatility3.framework import constants, exceptions, renderers, interfaces
from volatility3.framework.configuration import requirements
from volatility3.framework.objects import utility
from volatility3.plugins.windows import pslist
vollog = logging.getLogger(__name__)
cla... | volatilityfoundation/volatility3 | volatility3/framework/plugins/windows/cmdline.py | cmdline.py | py | 3,700 | python | en | code | 1,879 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "volatility3.framework.interfaces.plugins",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "volatility3.framework.interfaces",
"line_number": 12,
"usage_type": "name"... |
690977689 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('behavior_subjects', '0007_auto_20151119_1117'),
]
operations = [
migrations.AddField(
model_name='session',
... | c-wilson/behavior_monitor | behavior_subjects/migrations/0008_session_exh_inh_delay.py | 0008_session_exh_inh_delay.py | py | 460 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
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