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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
702144150 | import requests
from bs4 import BeautifulSoup
import urllib.request
import json
from selenium import webdriver
from time import sleep
from selenium.webdriver.chrome.options import Options
chrome_options = Options() # 啟動無頭模式
chrome_options.add_argument('--headless') #規避google bug
chrome_options.add_argument(... | fcu-D0441126/scrapy-Food-Panda | foodpanda.py | foodpanda.py | py | 2,262 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 12,
"usage_type": "name"
},
{
... |
13720767604 | import os
import pygments
from prompt_toolkit import print_formatted_text
from prompt_toolkit.formatted_text import PygmentsTokens
from pygments_markdown_lexer import MarkdownLexer
from typing import Any
from langchain import ConversationChain, OpenAI
from langchain.chat_models import ChatOpenAI
from langchain.chains.c... | eunomia-bpf/GPTtrace | gpttrace/utils/common.py | common.py | py | 4,086 | python | en | code | 152 | github-code | 18 | [
{
"api_name": "llama_index.VectorStoreIndex",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "pygments_markdown_lexer.MarkdownLexer",
"line_number": 34,
"usage_type": "name"
},
{
"api... |
72031158441 | import torch
from . import TransformException, BaseTransform
class ToTensor(BaseTransform):
"""
convert obspy Trace to Tensor
Args:
device (torch.device)
source (string): the data source to filter, default: raw
output: (string): optional, the key of the output data in the dictionary... | blainerothrock/hyperspectral-imaging-ml | hyperspec/transforms/to_tensor.py | to_tensor.py | py | 1,327 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_... |
3914474894 | import os
import datetime
from discord.ext import commands
import discord
from dotenv import load_dotenv
load_dotenv()
TOKEN = os.getenv('DISCORD_TOKEN')
FILE_NAME = "timetable.csv"
HOURS_PER_DAY = 24
DAYS_PER_WEEK = 5
timetable = [[None for h in range(HOURS_PER_DAY)] for d in range(DAYS_PER_WEEK)]
bot = commands.B... | evanSpendlove/DarkSpace | darkspace.py | darkspace.py | py | 1,764 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discord.ext.comm... |
16213633644 | # -*- coding: utf-8 -*-
import sys,os
import csv
import json
import re
import string
import ast
import uuid
import itertools
import codecs
from operator import itemgetter
from subprocess import Popen, PIPE
from inspect import currentframe, getframeinfo
import argparse
import numpy as np
from performance import Perfor... | Peilin-Yang/boundary_theory | utils/run_proximity_subqueries.py | run_proximity_subqueries.py | py | 12,952 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "run_subqueries.RunSubqueries",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists... |
73480169319 | """
This module gather the main package functions one can use elsewhere, *e.g.* in the demo.
:author: Jean-Baptiste Courbot - jean-baptiste.courbot@univ-lyon1.fr
:date: november 02, 2015
"""
import numpy as np
import scipy.stats as st
import scipy.ndimage.morphology as morph
import sys
sys.path.insert(0,'../lib... | courbot/heolht | lib/strategy_detection_pose.py | strategy_detection_pose.py | py | 6,749 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "scipy.ndimage.morphology.binary_dilation",
"line_number": 54,
"usage_type": "call"
},
{
"api_name":... |
73773701800 | import pandas as pd
import numpy as np
import warnings
from scipy.special import betainc
from tqdm import tqdm
import os
os.environ["MKL_NUM_THREADS"] = "10"
os.environ["NUMEXPR_NUM_THREADS"] = "10"
os.environ["OMP_NUM_THREADS"] = "10"
os.environ["OPENBLAS_NUM_THREADS"] = "10"
os.environ["VECLIB_MAXIMUM_THREADS"] = "10... | DEIB-GECO/GeneNetFusion | creation_matrices.py | creation_matrices.py | py | 13,119 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_n... |
28465480821 | import base64
import json
from aws_lambda_powertools.utilities.data_classes import (
KinesisFirehoseEvent,
event_source,
)
from aws_lambda_powertools.utilities.typing import LambdaContext
@event_source(data_class=KinesisFirehoseEvent)
def lambda_handler(event: KinesisFirehoseEvent, context: LambdaContext):
... | heitorlessa/aws-lambda-powertools-test | examples/event_sources/src/kinesis_firehose_delivery_stream.py | kinesis_firehose_delivery_stream.py | py | 753 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aws_lambda_powertools.utilities.data_classes.KinesisFirehoseEvent",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "aws_lambda_powertools.utilities.typing.LambdaContext",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "base64.b64encode",
"li... |
42427196827 | import numpy as np
import cvxpy as cp
import const
import pickle
import general
import simulate
def iterative(D: np.array, M: np.array):
'''
Estimates state according to iterative MLE.
:param D : N array of measured data
datatype: D[i] = [index of POVM]
:param M : Nxdxd array of POVM set
... | 3ti3nn3/tomography | mle.py | mle.py | py | 3,918 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "general.count",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_numbe... |
17005494321 | # -*- coding: utf-8 -*-
# This file is part of Viper - https://github.com/viper-framework/viper
# See the file 'LICENSE' for copying permission.
from __future__ import unicode_literals
import os
import sys
from tests.conftest import FIXTURE_DIR
from viper.common.objects import File, MispEvent
import pytest
class Tes... | viper-framework/viper | tests/common/test_objects.py | test_objects.py | py | 1,991 | python | en | code | 1,527 | github-code | 18 | [
{
"api_name": "viper.common.objects.MispEvent",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tests.conftest.FIXTURE_DIR",
"line_number": 17,
"usage_type": "argument"
},
{
"api_na... |
14817071891 | import networkx as nx
import numpy as np
class Sniper:
def __init__(self, prop):
self.y = 0.5
self.r = 0.05
self.graph = nx.Graph()
self.proportion = prop
def score(self, grad):
nodes = [int(k) for k in list(grad.keys())]
self.graph.add_nodes_from(nodes)
... | poopcorn/FedCare | backend/anomaly/metrics/sniper.py | sniper.py | py | 1,743 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "networkx.Graph",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 2... |
71426520680 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | evanwang1028_2j5n5j6o.py | evanwang1028_2j5n5j6o.py | py | 2,028 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.check_output",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_json",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.to_d... |
21545802748 | # coding:utf8
import time
from fastweb.web import Api, Page
from fastweb.exception import HttpError
from fastweb.component.request import Request
from fastweb.web import coroutine, run_on_executor
class Test(Api):
@coroutine
#@checkArgument(name=str, sex=int)
def get(self):
"""
#sel... | CYang828/fastweb | examples/web/handlers/test.py | test.py | py | 2,880 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "fastweb.web.Api",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastweb.component.request.Request",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "fastweb.exception.HttpError",
"line_number": 51,
"usage_type": "name"
},
{
"api... |
21227010853 | from django.contrib.auth import get_user_model
from rest_framework.test import APITestCase, APIClient
from rest_framework.reverse import reverse
from rest_framework.authtoken.models import Token
import json
from authors.apps.highlights.models import Highlight
from authors.apps.articles.tests.basetests import BaseTest
... | andela/ah-the-immortals-backend | authors/apps/highlights/tests/basetests.py | basetests.py | py | 8,412 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "authors.apps.articles.tests.basetests.BaseTest",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "rest_framework.reverse.reverse",
"line_number": 16,
"usa... |
8881021991 | import looker_sdk
from pathlib import Path
base_path = Path(__file__).resolve().parent
LOOKER_SDK_CONFIG = {
'base_url': 'https://...sa.looker.com...',
'client_id': 'gv...',
'client_secret': 'bM...'
}
BASE_URL = LOOKER_SDK_CONFIG['base_url']
CLIENT_ID = LOOKER_SDK_CONFIG['client_id']
CLIENT_SECRET = LOOKE... | rrpizzano/business_intelligence | general_code/looker/Return ID by Name/return_id_by_name.py | return_id_by_name.py | py | 904 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "looker_sdk.init31",
"line_number": 19,
"usage_type": "call"
}
] |
71216987239 | import collections
import enum
import json
import logging
import os
import urllib.parse
# Source: https://en.wikipedia.org/wiki/Seattle_Fire_Department
#
# TODO(aryann): Many of the unit types are missing from this list.
_UNIT_MAP = {
'A': 'Basic Life',
'AIR': 'Air Unit',
'B': 'Battalion Chief',
'CHAP... | aryann/seattlefiretwitterbot | parser.py | parser.py | py | 5,314 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
73015049319 | #!/bin/env python
from os.path import exists
import numpy as np
import cv2
import sys
cv2.namedWindow('image')
# Default hsv configured for red
hsv_min = np.array([0, 93, 237])
hsv_max = np.array([179, 255, 255])
# Read config from colors.csv
if exists('colors.csv'):
with open('colors.csv') as f:
vals = ... | danipatko/infotabor | detect/color.py | color.py | py | 1,105 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.namedWindow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_num... |
13338865611 | # We import all our dependencies.
from venv import create
from pandas import test
from n2v.internals.N2P_ImageFormatter import N2P_ImageFormatter
from n2v.models import N2VConfig, N2V
from n2v.models.n2p_config import N2PConfig
import numpy as np
from csbdeep.utils import plot_history
from n2v.utils.n2v_utils import m... | jakezimm12/n2p-master | main.py | main.py | py | 6,935 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ssl._create_default_https_context",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "ssl._create_unverified_context",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 22,
"usage_type": "call"
},
... |
2476153344 | from typing import Dict, Union, List
import tensorflow as tf
from ants_ai.training.neural_network.encoders.encoders import TrainingDataset
from kerastuner import HyperParameters
from ants_ai.training.neural_network.factories.model_factory import ModelFactory, EncodingType
from ants_ai.training.neural_network.factories... | Jason-Turan0/ants | ants_ai/training/neural_network/factories/conv2d_maxpool_model_factory.py | conv2d_maxpool_model_factory.py | py | 3,758 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "ants_ai.training.neural_network.factories.model_factory.ModelFactory",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "ants_ai.training.neural_network.factories.model_hyper_parameter.ModelHyperParameter",
"line_number": 29,
"usage_type": "call"
},
{
"api_... |
71773720360 | # File: common_demo.py
import json
import os
import string
import logging
import sys
from pathlib import Path
logging.basicConfig(format='[ %(levelname)s ] %(message)s',level=logging.DEBUG)
logging.disable(logging.DEBUG)
current_path = os.path.abspath(os.getcwd())
demo_info = current_path + '/Source/demo_info.json'
... | henry1758f/OpenVINO_Demo_Kit | Source/common_demo.py | common_demo.py | py | 11,572 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.disable",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
... |
26437648620 | import json
from django.views.generic.edit import FormView
from django.forms.models import modelform_factory, modelformset_factory, inlineformset_factory
from django.http import HttpResponse, JsonResponse
from django.shortcuts import render, get_object_or_404
from django.middleware import csrf
from django.urls import ... | tayursky/med-crm | directory/views/forms.py | forms.py | py | 12,205 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.edit.FormView",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "directory.utils.get_model",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.http.JsonResponse",
"line_number": 35,
"usage_type": "call"
},
{
... |
1521068922 | import googlemaps
import ast
import sys
import time
sys.path.append("lib/")
from myio import read_excel, save
def get_geoNearBy(locations, types):
vic = [] # to save result of the vicinity
cnt = 0
for loc in locations:
dicLoc = ast.literal_eval(loc["coordinate"]) # turn string into dict
coo... | a22057916w/StoreManager | google_API/gen_vic.py | gen_vic.py | py | 2,030 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "ast.literal_eval",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_n... |
70043647079 | import flet as ft
from view_panel.base import CameraViewPanel
import pyastrov.ui.ft_part as ft_part
from pyastrov.core import AstroVCore
from pyastrov.camera.interface import ControlType
from pyastrov.procimg import utils
import asyncio
idx = 0
class CameraWBPanel(ft.UserControl):
def __init__(self,core :AstroVCor... | imoken1122/PyAstroV | pyastrov/ui/control_panel/wb_rgb.py | wb_rgb.py | py | 4,532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flet.UserControl",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pyastrov.core.AstroVCore",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "view_panel.base.CameraViewPanel",
"line_number": 10,
"usage_type": "name"
},
{
"api... |
9747363392 | import random
import ssl
import time
import sys
import socket, threading, select
import os
import subprocess
import configparser
bg=''
G = bg+'\033[32m'
O = bg+'\033[33m'
GR = bg+'\033[37m'
R = bg+'\033[31m'
logo='''
++++ ++++ +++ ++++ + +
+ + + + ... | Monster-ZeroX/http-ssl-ssh-injector | sni.py | sni.py | py | 3,432 | python | en | code | null | github-code | 18 | [
{
"api_name": "time.ctime",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_numb... |
13517368632 | from django.shortcuts import render, get_object_or_404, redirect
from .models import Projecten
from .models import Vloeren
from .models import Bedrijven
from .models import Datum_Document
from .models import Controlemomenten_gepland
from django.contrib.auth.decorators import login_required
from django.views.decorator... | hzm74/docreg | djdocreg/database/views.py | views.py | py | 5,810 | python | nl | code | 1 | github-code | 18 | [
{
"api_name": "models.Bedrijven.objects.all",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "models.Bedrijven.objects",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "models.Bedrijven",
"line_number": 25,
"usage_type": "name"
},
{
"api_n... |
8631180081 | import sys
import itertools
start = [[False for i in range(0,1000)] for j in range(0, 1000)]
def set_all(start, line, val):
foo = line.split()
fram = foo[2].split(',')
to = foo[4].split(',')
r1 = range(int(fram[0]), int(to[0]) +1)
r2 = range(int(fram[1]), int(to[1])+1)
for (i,j) in itertools.... | Prozen/AdventOfCode | 6/6.py | 6.py | py | 929 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.product",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 31,
"usage_type": "attribute"
}
] |
6855172062 | import requests
from bs4 import BeautifulSoup as BS
from pprint import pprint
def parse_cars():
url = 'https://www.mashina.kg/search/all/'
response = requests.get(url, timeout=15)
print(response)
print(response.status_code == 200)
# print(response.text[:200])
cars = []
soup = BS(response... | liligga/telebot_273 | parser/base.py | base.py | py | 929 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
31502030752 | import argparse
import matplotlib.pyplot as plt
import torch
from src.data.make_dataset import CorruptMnist
from src.models.model import MyAwesomeModel
def training() -> None:
parser = argparse.ArgumentParser(description="Training arguments")
parser.add_argument("--lr", default=1e-3)
args = parser.parse... | SkafteNicki/example_mlops | src/models/train_model.py | train_model.py | py | 1,414 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "src.m... |
39310622105 | """
Module with class that can represent who has been updated and
when, along with functions to load it from and save it to s3.
"""
from datetime import datetime
import json
import os
from typing import Any, Dict, List, Optional
import boto3
from get_logger import get_logger
STORECHECKER_S3_BUCKET: str = os.environ[... | ktausch/switch-price-updates | lambda_functions/update_state.py | update_state.py | py | 2,574 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "get_logger.get_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "boto3.client",
... |
8496255154 | from flask import render_template, flash, redirect, url_for
from loan import app
from loan.forms import *
from loan.models import *
@app.route('/')
def home():
loans = Loan.query.all()
return render_template('home.html', loans=loans)
@app.route('/loan', methods=['GET', 'POST'])
def loan():
form = LoanFo... | djangowilly/Loan | loan/routes.py | routes.py | py | 1,051 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "loan.app.route",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "loan.app",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.redirect",
"lin... |
30267716183 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Управление классами ядра системы
"""
from os import path
import json
import logging
from config import SETTINGS
from config import TEST_PATH_RESULTS, WRONG_AUTO_MINFIN_TESTS_FILE
from constants import ERROR_NO_DOCS_FOUND, ERROR_REQUEST_CONTAINS_BAD_WORD
from core.answer... | svetakorn/Datatron | data_retrieving.py | data_retrieving.py | py | 18,306 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "text_preprocessing.TextPreprocessing",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "core.answer_object.CoreAnswer",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "constants.ERROR_REQUEST_CONTAINS_BAD_WORD",
"line_number": 65,
"usage_... |
34442515484 | import subprocess
import os
from six import string_types
# SLHA parser
# by Florian Staub (florian.staub@gmail.com)
# ----------------------------------------------------------
# SLHA Class
# ----------------------------------------------------------
class SLHA():
def __init__(self):
self.blocks = {}
... | fstaub/xSLHA | xslha/main.py | main.py | py | 10,207 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.path.isfile",
"line_number": 203,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 203,
"usage_type": "attribute"
},
{
"api_name": "subprocess.call",
"line_number": 204,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
... |
32415218501 | import math
import time
from matplotlib import cm, pyplot as plt
from numpy import array, convolve, linalg, matrix, trace, transpose
from PIL import Image
from gaussian_filters import gauss, gauss_1der, gauss_2der
from mark_show import mark_show_hess
def hessian(img, # the input image name
... | vatsalya-gupta/AVD624-Computer-Vision | Assignments/Code_for_Assignment_2/01_Hessian_Matrix/01_hessian_matrix.py | 01_hessian_matrix.py | py | 2,921 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 1... |
2420655950 | from collections import deque
from Entidades.Term import TermUnit
from Entidades.Term import Term
from Entidades.Grammar.TextGrammar import TextGrammar
from Entidades.Grammar.Grammar import Grammar
from Services.LexicAnalyzer import LexicAnalyzer
class TableService:
ErrorString = "Error"
def __init__(se... | CCTUnifor/Compiler | Python/Analisador Sintático Descendente Tabular/Services/GrammarTableService.py | GrammarTableService.py | py | 8,119 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "Entidades.Grammar.Grammar.Grammar.STREAM_END_UNIT",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "Entidades.Grammar.Grammar.Grammar",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "Entidades.Term.TermUnit.TERMINAL",
"line_number": 45... |
25919836905 | import feedparser
import re
import docclass
def read(feed,classifier):
f=feedparser.parse(feed)
for entry in f['entries']:
#print(entry)
print ()#这一行在干嘛
print('-----')
#print('title')
#print(entry['title'].encode('utf-8'))
print ('Title: ',entry['title'].encode('utf-... | sevenry/python_learning_note | programm_collective_intelligence/chap6/feedfilter.py | feedfilter.py | py | 1,757 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "feedparser.parse",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 40,
"usage_type": "call"
}
] |
13590692648 | from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
import numpy as np
def logisticRegression():
data=np.loadtxt("ex2data1.txt",delimiter=",",dtype=np.float64)
X=data[:,0:-1]
y=data[:,-1]
#train_test_... | penggan666/ml | logic regression/scikit_logic.py | scikit_logic.py | py | 1,003 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 12,
"usage_type": "call"
},
{
"api_name"... |
578353035 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""Merge two existed dataset."""
import argparse
import logging
from pathlib import Path
from os.path import dirname as parent
from fairseq.molecule_utils.external.fairseq_dataset_build_utils import merge_and_build
from fairseq.molecule_utils.basic import smiles_utils a... | HankerWu/TamGent | scripts/build_data/merge_datasets.py | merge_datasets.py | py | 1,974 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
... |
37643906078 | import re
from collections import Counter
from pathlib import Path
from shutil import copyfile
from typing import Set, List, Literal, Iterable, Optional
import pandas
from sortedcontainers import SortedDict
from tqdm import tqdm
from .base import BaseTask, CorporaTaskMixin
from .filters.base import CandidatesPairCSV
... | MarvinLvn/paraphone | paraphone/tasks/corpora.py | corpora.py | py | 11,113 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Set",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "imports.FileID",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "workspace.Workspace",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "workspace.root_path",
... |
26535666745 | import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import warnings
warnings.filterwarnings('ignore')
import argparse
from typing import List
from src.models.named_entity_recognition_rnn import RNNModel, DataPreprocessor
from src.utils.config_loader import NamedEntityRecognitionConfigReader
def evaluate_model(question... | mmarouen/marabou | marabou/train/src/scripts/eval_named_entity_recognition.py | eval_named_entity_recognition.py | py | 2,362 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "src.utils.config_lo... |
4819232112 | """
129. Sum Root to Leaf Numbers
You are given the root of a binary tree containing digits from 0 to 9 only.
Each root-to-leaf path in the tree represents a number.
- For example, the root-to-leaf path 1->2->3 represents the number 123.
Return the total sum of all root-to-leaf numbers. Test cases are generated so tha... | tkwang0530/LeetCode | 0129.py | 0129.py | py | 3,512 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 63,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 112,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",... |
24587856577 | import base64
import collections
import contextlib
import email.message
import http.client
import http.server
import json
import socket
import threading
import time
from typing import BinaryIO
from typing import cast
from typing import Dict
from typing import Iterable
from typing import Iterator
from typing import Tupl... | AllSeeingEyeTolledEweSew/http_proxy | http_proxy_test.py | http_proxy_test.py | py | 35,110 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Iterator",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "typing.BinaryIO",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "http.client.client.parse_headers",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "http... |
6128463262 | import random
import math
import sys
import numpy as np
from PIL import Image, ImageDraw
def cartesianProduct(*arrays):
la = len(arrays)
dtype = np.result_type(*arrays)
arr = np.empty([len(a) for a in arrays] + [la], dtype=dtype)
for i, a in enumerate(np.ix_(*arrays)):
arr[...,i] = a
return... | Saptak625/SimHabitat | main.py | main.py | py | 4,389 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.result_type",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.ix_",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_num... |
9552295350 | import sys
import gc
from numpy.random import seed
seed(7)
import numpy as np
import glob
from utils import get_classes
from sklearn.model_selection import StratifiedShuffleSplit
import cv2
from keras.utils import to_categorical
import scipy.io as sio
from scipy.misc import imresize
def load_inputs(mode, test_subject,... | AdrianNunez/keras_models | cnn-m-2048_based_two-stream_network/data.py | data.py | py | 21,402 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "sys.exit",
"line_numbe... |
42837343738 | from functools import partial
from kivy.uix.anchorlayout import AnchorLayout
from kivy.clock import Clock
from constants import green_color, red_color, maroon_color
from application.application_utils import create_grid_layout, create_label
from application.screens.games.base_game import BaseGame
from application.widget... | QuimMarset/MAI-CIR | application/screens/games/number_gap_filling_game_screen.py | number_gap_filling_game_screen.py | py | 3,770 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "application.screens.games.base_game.BaseGame",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "application.application_utils.create_grid_layout",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "application.application_utils.create_grid_layout",
... |
74149028841 | from config import dino_pretrain_path
from .resnet import ResNet
from .vision_transformer import *
import torch
def get_backbone(args, **kwargs):
if "resnet" in args.arch:
return _get_resnet_backbone(args)
elif "vit" in args.arch:
return _get_vit_backbone(args, **kwargs)
else:
... | kleinzcy/Cr-KD-NCD | model/get_model.py | get_model.py | py | 1,331 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "resnet.ResNet",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "config.dino_pretrain_path",
"line_number": 24,
"usage_type": "argument"
}
] |
74037692520 | from construct import Struct, Int32ul, Int16ul, Int8ul, Nibble, Const, IfThenElse, this, Bytes, BitStruct
from formats.common import FlagsEnumCumulative
'''
typedef enum FLG_CONTIGUOUS_MIP {
FLG_7ZIP = 0x40000000,
FLG_ADDRU_MASK = 0xf,
FLG_ADDRV_MASK = 0xf0,
FLG_ARRTEX = 0x200000,
FLG_COMPR_MASK =... | klensy/wt-tools | src/wt_tools/formats/ddsx_parser.py | ddsx_parser.py | py | 2,581 | python | en | code | 125 | github-code | 18 | [
{
"api_name": "formats.common.FlagsEnumCumulative",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "construct.Int32ul",
"line_number": 31,
"usage_type": "argument"
},
{
"api_name": "construct.Struct",
"line_number": 74,
"usage_type": "call"
},
{
"api_nam... |
23839988252 | import hashlib
import json
import os
import string
import sys
import typing
sys.path.append(os.getcwd())
import disk_set
def truncated_sha1(pwd): # type: (typing.Text) -> bytes
return hashlib.sha1(pwd.encode("utf8")).digest()[:8]
def brute_force(length, strings):
# type: (int, typing.Sequence[typing.Text... | warm-ice0x00/disk-set | main.py | main.py | py | 1,030 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number"... |
22987268922 | from typing import cast
from unittest.mock import AsyncMock, patch
import pytest
from starknet_py.contract import Contract
from starknet_py.hash.address import compute_address
from starknet_py.hash.selector import get_selector_from_name
from starknet_py.net.account.account import Account
from starknet_py.net.account.... | software-mansion/starknet.py | starknet_py/tests/e2e/account/account_test.py | account_test.py | py | 22,277 | python | en | code | 231 | github-code | 18 | [
{
"api_name": "starknet_py.net.account.account.Account",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "starknet_py.net.signer.stark_curve_signer.KeyPair",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "typing.cast",
"line_number": 40,
"usage_type": ... |
316718183 | """raytracing helper functions for deferred rendering using pyembree as a backend
Currently, meshes are represented as simple dictionaries with vertices, faces, uvs and optionally additional per-vertex
attributes (e.g., tangents, bitangents and normals). This is due to a limitation in the trimesh.Trimesh class, namely... | smerzbach/pysmtb | pysmtb/rendering.py | rendering.py | py | 37,384 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "trimesh.Scene",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "types.NoneType",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "trimesh.Trimesh",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "types.NoneType",
"li... |
36444701308 | from django.shortcuts import render
from django.conf import settings
from django.contrib.auth.decorators import login_required
# import models
from apps.core.models.message_block import MessageBlock
from apps.core.models.todo_action_status import TodoActionStatus
from apps.core.models.todo import Todo
from apps.core.m... | phonehtetpaing/ebdjango | apps/core/views/vendor_contactchat/analytics.py | analytics.py | py | 12,291 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.settings.BASE_DIR",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "apps.core.models.summary_log_end_users.SummaryLogEndUsers.objects.raw",
"line_number"... |
14116434492 |
"""
http://docs.aws.amazon.com/amazondynamodb/latest/gettingstartedguide/GettingStarted.Python.03.html
"""
from __future__ import print_function # Python 2/3 compatibility
import boto3
import json
import decimal
# Helper class to convert a DynamoDB item to JSON.
class DecimalEncoder(json.JSONEncoder):
def defaul... | SungardAS/porper-core | tests/sample_codes_for_dynamodb.py | sample_codes_for_dynamodb.py | py | 2,683 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.JSONEncoder",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "decimal.Decimal",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "boto3.resource",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps"... |
41911427082 | from utils import read_file
values = read_file(8, str, False)
grid = []
for current_tree_height in values:
grid.append(list(current_tree_height))
visible = 0
def get_column(matrix, i):
return [_row[i] for _row in matrix]
for row in range(len(grid)):
for column in range(len(grid[row])):
# Ign... | TheAmazingHazza/Advent-Of-Code-2022 | src/Day_8.py | Day_8.py | py | 2,575 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "utils.read_file",
"line_number": 3,
"usage_type": "call"
}
] |
32382419406 | import os
import sys
import traceback
import pdb
import re
import numpy as np
import pandas as pd
from math import log
from collections import Counter
from functools import reduce
from operator import add
from multiprocessing import Pool
# directory name: {dataset}_{search-l}_{type}_{# of the shard}
# usage "python an... | hjchoi-camelab/guitar | parser/anns_jh_breakdown-new-parser.py | anns_jh_breakdown-new-parser.py | py | 14,834 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number... |
69834141801 | import glob
import json
import os
import argparse
import time
import re
import pickle
# Libs
from tqdm import tqdm
from xmltodict import unparse
import xml.etree.ElementTree as ET
import sys
import numpy as np
import pandas as pd
from multiprocessing import Pool
import matplotlib
# If you get _tkinter.TclError: no d... | embedded-machine-learning/scripts-and-guides | scripts/inference_evaluation/visualize_tf2oda_csv_detections.py | visualize_tf2oda_csv_detections.py | py | 9,553 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.backend.clear_session",
"line_number": 92,
"usage_type": "call"
},
{
"api... |
14736616516 | from typing import List, Optional
from db.database import SessionLocal
from db import models
import logging
class NoTeamException(Exception):
pass
class TeamRepository:
def __init__(self):
self.db = SessionLocal()
def create_team(self, name: str, country: str, cur_pos_league: str) -> models.Te... | joaquinfontela/FastAPI-Tutorial | src/repositories/team_repository.py | team_repository.py | py | 1,964 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "db.database.SessionLocal",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "db.models.Team",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "db.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "db.models.Team",
... |
26017508186 | from datetime import datetime
from functools import lru_cache
import requests
from fastapi import Depends, FastAPI, HTTPException
from fastapi.responses import RedirectResponse
from pydantic import BaseModel, BaseSettings
app = FastAPI(docs_url=None, redoc_url=None)
class Labels(BaseModel):
alertname: str
p... | hadret/forwardly | main.py | main.py | py | 1,928 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseMod... |
27798855781 | #!/bin/env python3
import itertools
def invalid_preamble_number(numbers, preamble):
for p in range(preamble, len(numbers)):
if not any(a + b == numbers[p] for a, b in itertools.combinations(numbers[p - preamble:p], 2)):
yield numbers[p]
def contiguous_set_code(numbers, total):
num_set = ... | bbglab/adventofcode | 2020/jordi/day9/part1and2.py | part1and2.py | py | 868 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
20076121327 | from django.urls import path
from .views import home, send_invitation, accept_invitation, reject_invitation
from django.contrib.auth.views import LoginView, LogoutView
urlpatterns = [
path('', home, name = 'player_home'),
path('login/', LoginView.as_view(template_name='player/login_form.html'), name='player_lo... | shubhamjain238/tic-tac-toe | tic_tac_toe/player/urls.py | urls.py | py | 620 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.vie... |
35090246128 | from mrjob.job import MRJob
from mrjob.step import MRStep
import re
WORD_RE = re.compile(r"[\w]+")
# clean reference frame input, save it to a list
f = open('myframe.txt', 'r')
x = f.readlines()
f.close()
total = []
for i in range(len(x)):
temp = x[i].split(',')
for t in temp:
t = t.strip()
t = t.strip('\n')
t... | Fangfangwan/SSSP | collocation.py | collocation.py | py | 2,224 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "mrjob.job.MRJob",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "mrjob.step.MRStep",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "mrjob.step.MRStep",
"... |
10447648305 | from matplotlib.collections import PolyCollection
from matplotlib import cm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import nanopores.geometries.pughpore as pughpore
import nanopores
from scipy.interpolate import LinearNDInterpolator
import numpy as np
from nanopores.tools import fields
... | mitschabaude/nanopores | scripts/pughpore/bary_interp.py | bary_interp.py | py | 1,827 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "mirror.xf",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.interpolate.LinearNDInterpolator",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "mirror.x... |
21124930732 | from django.urls import path
from .views import add_contact, contacts_list, edit_contact, delete_contact
urlpatterns = [
path('add/', add_contact, name='add_contact'),
path('edit/<int:id>/', edit_contact, name='edit_contact'),
path('delete/<int:id>/', delete_contact, name='delete_contact'),
path('', c... | Reverlight/address-book | address_book/urls.py | urls.py | py | 359 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.add_contact",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.edit_conta... |
7620076423 |
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .views import ChurroViewSet, submit_survey, submit_career, submit_contact, submit_order, home, submit_booking
router = DefaultRouter()
router.register(r'churros', ChurroViewSet)
urlpatterns = [
path('', include(router.url... | ayesiloz1/Maestro_churro_Backend | churro_app/urls.py | urls.py | py | 742 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.ChurroViewSet",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
22493882661 | import os
from nose.tools import assert_equal, with_setup
from mod import f
def f_setup():
files = os.listdir('.')
if 'no.txt' in files:
os.remove('no.txt')
if 'yes.txt' in files:
os.remove('yes.txt')
def f_teardown():
files = os.listdir('.')
if 'yes.txt' in files:
os.rem... | jieyanzhu/codes-effective-computation-in-physics | chap_18/test_f.py | test_f.py | py | 522 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
... |
3272762041 | import jax.numpy as jnp
import jax
from jax import device_put
from jax import numpy as np
from bench.core.executer import Executer
def box_area(boxes):
return (boxes[:, 2] - boxes[:, 0]) * (boxes[:, 3] - boxes[:, 1])
def box_iou(boxes1, boxes2):
area1 = box_area(boxes1)
area2 = box_area(boxes2)
l... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/generalized_box_iou/jax_impl.py | jax_impl.py | py | 1,511 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "jax.numpy.maximum",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "jax.numpy.minimum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_n... |
9771955203 | import numpy as np
import matplotlib.pyplot as plt
import pickle
# import required libraries
from scipy.stats import norm
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sb
# https://www.askpython.com/python/normal-distribution
# creating the dataset
# data = {'C':20, 'C++':15, 'Java':30,
# ... | iii2022/csbert | retrofit/code/distribution.py | distribution.py | py | 1,605 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_numbe... |
23102936152 | import os
import speech_recognition as sr
def transcribe_audio(audio_file):
recognizer = sr.Recognizer()
with sr.AudioFile(audio_file) as source:
audio = recognizer.record(source)
try:
transcript = recognizer.recognize_google(audio, language="es-ES")
return transcript
... | MateoPissarello/pythonSpeechRecognition | transcript.py | transcript.py | py | 1,080 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "speech_recognition.Recognizer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "speech_recognition.AudioFile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 13,
"usage_type": "attribu... |
19775675231 | from __future__ import (absolute_import, division,
print_function, unicode_literals, )
from future.builtins import range
import numpy as np
import tt
from tt.optimize import tt_min
import copy
import scipy
import ttrecipes as tr
def search_subspace(t, Xs, Ys, tsq=None, tmin=None, tmax=None, ... | visangela/SenVis | server/core/analysis.py | analysis.py | py | 41,230 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.all",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.all",
"line_number": 44,
... |
12226426951 | import sys
from collections import deque
sys.setrecursionlimit(100000)
def SNS(n_nodes, myInput, a, b):
'''
엘리스친구의 친구관계가 myInput으로 주어지고, 사용자 a, b가 주어질 때 둘 사이의 촌수를 반환합니다.
'''
if a == b : return 0
graph = [[] for i in range(n_nodes)]
m_edges = len(myInput)
for line in myInput:
... | zinseo964/Algorithm | 0519/sns.py | sns.py | py | 1,224 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 18,
"usage_type": "call"
}
] |
29110787529 | # Gabriella Miles, Farscope PhD Student, Bristol Robotics Laboratory
# Date created: 13th July 2020
import tensorflow.keras as keras
import tensorflow as tf
from keras.models import Model
from keras.layers import Dense, Input, Flatten, Dropout, LSTM
from datetime import datetime
class Classifier:
def __init__(self, ... | gabriellamiles/DL_Toolbox | models/r_lstm.py | r_lstm.py | py | 1,809 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "keras.layers.Input",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.layers.L... |
6220544647 | import json
import time
from datamanage.pro import exceptions as dm_pro_errors
from datamanage.pro.dataquality.mixins.base_mixins import BaseMixin
from datamanage.pro.dataquality.models.audit import (
DataQualityAuditFunction,
DataQualityAuditRule,
DataQualityAuditRuleEvent,
DataQualityAuditRuleTemplat... | Tencent/bk-base | src/api/datamanage/pro/dataquality/rule_views.py | rule_views.py | py | 42,258 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "datamanage.pro.dataquality.mixins.base_mixins.BaseMixin",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "common.views.APIViewSet",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "common.local.get_request_username",
"line_number": 134,
"... |
7440898209 | import matplotlib.pyplot as plt
import numpy as np
from numpy import pi, cos, sin
with open("water_data.txt") as f:
lines = f.readlines()
E = []
A = []
for line in lines:
vals = line.split("\t")
E.append(float(vals[0]))
A.append(float(vals[1]))
Ener... | Vibi31/FYS4711-Dosimetri | photons.py | photons.py | py | 2,045 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
14950006221 | # A part of NonVisual Desktop Access (NVDA)
# Copyright (C) 2008-2021 NV Access Limited, James Teh, Michael Curran, Leonard de Ruijter, Reef Turner,
# Julien Cochuyt
# This file may be used under the terms of the GNU General Public License, version 2 or later.
# For more details see: https://www.gnu.org/licenses/gp... | nvaccess/nvda | source/appModules/nvda.py | nvda.py | py | 9,160 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "NVDAObjects.IAccessible.IAccessible",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "api.getForegroundObject",
"line_number": 40,
"usage_type": "call"
},
{
... |
16682021897 | ### 051920 -- trying to learn a simple dimensionality reduction
### of neural activity that keeps diff trials close and diff stimuli separate
### limited to linear methods for now, but should look into nonlinear
import numpy as np
from sklearn.linear_model import LogisticRegression
from metric_learn import MLKR
from ... | preacherwhite/Hal-sharedcore-Tang-data | analysis/scripts/metric_learning.py | metric_learning.py | py | 3,100 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "analysis.data_utils.get_imcal_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "analysis.data_utils.spike_counts",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 22,
"usage_type": "call"
},
{
... |
37962377790 | import matplotlib.pyplot as plt
import numpy as np
from sklearn import svm
f=open('./CSR1.DAT')
trainscale=300
data=[]
flag=0
for line in f.readlines():
str = line.strip().split("\t")
tmp = []
if str[0]=='1':
flag=1
if line=='\n':
flag=0
if flag==1:
for i in range(1, len(str... | Yuuki-Yoda/SVR | main.py | main.py | py | 1,638 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number":... |
33457905708 | import pandas as pd
import os
import geohash
path = "./taxi_test" #文件夹目录
def to_split_txt_line(str_list):
_vehicle_id = int(str_list[0])
_report_time = str_list[1]
_latitude = float(str_list[2])
_longitude = float(str_list[3][:-1])
return _vehicle_id, _report_time, _latitude, _longitude
def ge... | forbighouse/llbc | paper2/utility_ex.py | utility_ex.py | py | 1,082 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 2... |
21066912891 | import datetime, time, os, pyautogui, playsound
from PIL import ImageGrab
from functools import partial
ImageGrab.grab = partial(ImageGrab.grab, all_screens=True)
def min(x, y):
x *= 60
return (x + y)
updating_Animation = [
'[. ] ',
'[.. ] ',
'[...] '
]
started = False
updating_Fram... | LouisRadek/Pythonbot_Homeschooling | main.py | main.py | py | 11,396 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PIL.ImageGrab.grab",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "PIL.ImageGrab",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "functools.partial",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date.to... |
9597624373 | #!/usr/bin/env python
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from model import VAE
from dataset import ChordDataset
dataset = ChordDataset("../bundle.txt")
loader = DataLoader(dataset, batch_size=4, shuffle=False, collate_fn=lambda x: x)
vae = VAE(len(dataset.alphabet), 16, 16)
... | tobybell/chords | vae/test.py | test.py | py | 713 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataset.ChordDataset",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "model.VAE",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dataset.al... |
25217077172 | # https://leetcode.com/problems/remove-linked-list-elements/
# tags: #linked_list
#
# Solution:
# Time complexity: O(n), Space complexity O(1)
from typing import Optional
class ListNode:
def __init__(self, val=0, next=None):
self.val = val
self.next = next
def __str__(self):
return s... | ronelzb/leetcode | linked_list/0203_remove_linked_list_elements.py | 0203_remove_linked_list_elements.py | py | 1,240 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
}
] |
46855953644 | x=0
while x <= 5:
print(x)
x = x + 1
counties = ["Arapahoe","Denver","Jefferson"]
for county in counties:
print(county)
for i in range(len(counties)):
print(counties[i])
counties_dict = {"Arapahoe": 422829, "Denver": 463353, "Jefferson":432438}
for county in counties_dict.keys():
print(county)
... | zoomdmartin02/Election-Analysis | module_files/loops.py | loops.py | py | 2,499 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "da... |
26261493799 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from importlib.machinery import SourceFileLoader
try:
import cleep
except:
class cleep:
__file__ = None
def get_core_version_from_sources(repo_dir):
try:
cleep_sources = SourceFileLoader("cleep_sources", os.path.join(repo_dir, 'cleep'... | CleepDevice/cleep-cli | cleepcli/config.py | config.py | py | 1,758 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "importlib.machinery.SourceFileLoader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.env... |
12185194630 | ##########################################################
# Author : Hwx #
# Date : 2016-9-30 #
# Purpose: KaKs ratio calculation, statistic and figure #
##########################################################
# import package
import ... | stonepy/icystone | server6/KaKs.py | KaKs.py | py | 8,091 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"lin... |
26526227535 | import dataclasses
import functools
from jax_privacy.experiments.image_data import base
from jax_privacy.experiments.image_data import loader
import tensorflow as tf
import tensorflow_datasets as tfds
MEAN_RGB = (0.49139968, 0.48215841, 0.44653091)
STDDEV_RGB = (0.24703223, 0.24348513, 0.26158784)
@dataclasses.dat... | deepmind/jax_privacy | jax_privacy/experiments/image_data/mnist_cifar_svhn.py | mnist_cifar_svhn.py | py | 5,561 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "jax_privacy.experiments.image_data.base.ImageDatasetConfig",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "jax_privacy.experiments.image_data.base",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "tensorflow.Tensor",
"line_number": 35... |
73118406441 | from splinter import Browser
from bs4 import BeautifulSoup as bs
import pandas as pd
from webdriver_manager.chrome import ChromeDriverManager
def init_browser():
#NB: Replace path with local path to ChromeDriver
executable_path = {'executable_path': ChromeDriverManager().install()}
return Browser('chrome',... | jasperthegeo/Webscrape_challenge | non-jupiter_scrape_mars.py | non-jupiter_scrape_mars.py | py | 2,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "webdriver_manager.chrome.ChromeDriverManager",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "splinter.Browser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
24468458164 | # define seperotr
def seperator():
print()
print("<=======================================================================================================================>")
## If you want to scrape a Website ##
# 1. Use The Official API of The Website Owner
# 2. HTML Web Scraping using Some Tools Like... | PraddyumnYadav/Web_Scraping_With_Python | main.py | main.py | py | 2,899 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
16476543650 | import time
import numpy as np
import matplotlib.pyplot as plt
def arrow():
fig = plt.figure()
ax = fig.add_subplot(111)
point = {
'start': [10, 10],
'end': [90, 90],
"v1": [20, 20],
"v2": [30, 30],
"v3": [40, 40],
}
ax.plot(*point['start'], 'o', color="re... | yuto-moriizumi/sotuken | plot2.py | plot2.py | py | 1,702 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matpl... |
6392715333 | # non local imports ^_^
# if your reading this use auto-py-to-exe to convert this to an .exe file
from colorama import Fore, Back, Style
import asyncio
import time
import sys
import socket
import requests
x = 0
responses = []
async def get_isp_from_api(ip):
url = f"http://ip-api.com/json/{ip}"
r... | KuroSys/Ponger | pong.py | pong.py | py | 2,117 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM",
... |
20777033203 | import flask
from flask import render_template, jsonify
import os
import random
import linecache
app = flask.Flask(__name__)
app.config["DEBUG"] = True
DATA_FILE = "data.txt"
randfile = open(DATA_FILE, "w")
nums = 4096
for i in range(nums):
line = str(random.uniform(-4096, 4096)) + "\n"
randfile.write(line)
... | datamadness81/pythonapp | api.py | api.py | py | 4,249 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
... |
26965550196 | import re
import numpy as np
import string
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer
from nltk.stem import PorterStemmer
from bs4 import BeautifulSoup as bs
def get_stem_tokens(text):
text = text.lower()
text = re.sub(r'[-+]?... | Subangkar/Machine-Learning-CSE-472-BUET | Assignment-2/TextClassification/utils.py | utils.py | py | 1,697 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "re.sub",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.punctuation",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nltk.corpu... |
5529284679 | import random
import matplotlib.pyplot as plt
def monty_hall(ndoors, kopen, switch=True, show_selections=False):
assert(ndoors - kopen > 0 and kopen >= 0)
if ndoors-kopen == 1: return True
"""
Randomly choose a door between 1 and ndoors
"""
door_chose = random.randint(1, ndoors)
"""
Randomly choose ... | USharma002/MontyHallSimulation | main.py | main.py | py | 2,094 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line... |
3860908926 | # -*- codeing = utf-8 -*-
# @Time : 2021/6/4 18:35
# @Autor : Soutubot
# @File : pdfg-bot.py
# @Software : PyCharm
# 匯入相關套件
from PIL import Image
import re
import requests
import base64
import time
import datetime
from urllib import parse
from bs4 import BeautifulSoup
import telebot
import os
import urllib.parse
import... | soutubot/pdfg | pdfg-bot.py | pdfg-bot.py | py | 7,398 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "requests.session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "telebot.TeleBot",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_num... |
29667840805 | import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import torchvision
from torchvision import datasets, models as tv_models
from torch.utils.data import DataLoader
from torchsummary import summary
import numpy as np
from scipy import io
import threading
import pickle
fro... | msandipan/MasterProject | source_code/patch_classifiers/train.py | train.py | py | 53,737 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.backends",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "wandb.init",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_num... |
10542104971 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, Event, State
from flask import Flask
import flask
import webbrowser
import os
import pdb
#------------------------------------------------------------------------------------------------------... | paul-shannon/ijaliframedisplaywithsound | simpleWithButtonAndIFrame.py | simpleWithButtonAndIFrame.py | py | 2,525 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dash.Dash",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numbe... |
3580993003 | # -*- coding: utf8 -*-
"""Base model."""
import os
import datetime
from flask import url_for, current_app
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy import Integer, Text, Unicode, Boolean
from s... | alexandermendes/explicates | explicates/model/base.py | base.py | py | 2,653 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "sqlalchemy.schema.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.schema.Column",
"line_number": 24,
"usage_type": "call"
},
{
"api_name... |
6233123087 | from apps.api.modules.utils import add_esb_info_before_request
from ..base import BaseApi, DataAPI, DataAPISet, ProxyDataAPI
class _GseApi(DataAPISet):
MODULE = "GSE"
def __init__(self):
from config.domains import GSE_APIGATEWAY_ROOT_V2
self.get_agent_status = DataAPI(
method="... | Tencent/bk-base | src/dataweb/app/apps/api/modules/gse.py | gse.py | py | 911 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "base.DataAPISet",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "base.DataAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.domains.GSE_APIGATEWAY_ROOT_V2",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "app... |
25744031956 | # USAGE
# python detect_faces_video.py --prototxt deploy.prototxt.txt --model res10_300x300_ssd_iter_140000.caffemodel
# import the necessary packages
from imutils.video import VideoStream
import numpy as np
import argparse
import imutils
import time
import socket
import cv2
import struct
import sys
try:
# construct... | JokeOfAllTrades/Face-Filter | Assets/Face Detection/facedetector.py | facedetector.py | py | 3,767 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNetFromCaffe",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "socket.... |
8337222355 | import json
import time
from kafka import KafkaProducer
from flask import Flask, jsonify, request
ORDER_KAFKA_TOPIC = 'order_details'
KAFKA_SERVER_ADDRESS = 'localhost:9092'
# KAFKA_SERVER_ADDRESS = '47.93.191.241:29093`
app = Flask(__name__)
## from inside docker compose network - when add the service to compose ... | sparsh-ai/recohut | docs/03-processing/project-kafka-ikea/orders_backend.py | orders_backend.py | py | 1,257 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaProducer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"... |
9525107354 | """
OU.py
"""
__author__ = "giorgio@ac.upc.edu"
__credits__ = ["https://github.com/yanpanlau", "https://gist.github.com/jimfleming/9a62b2f7ed047ff78e95b5398e955b9e"]
import numpy as np
from scipy.stats import norm
# https://blog.csdn.net/u013745804/article/details/78461253
# 上周在实现DDPG的过程中，发现其中用到了一个没见过的随机过程，叫做Ornstei... | softmicro929/a-deep-rl-approach-for-sdn-routing-optimization | OU.py | OU.py | py | 1,643 | python | zh | code | 15 | github-code | 18 | [
{
"api_name": "numpy.ones",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm.rvs",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "scipy.stats.norm",
"li... |
9775290874 | from base import app, db
from placedb import Place
from flask import render_template, request
@app.route("/personadd", methods=['POST'])
def personadd():
navn = request.form["navn"]
stoy = request.form["stoy"]
vurdering = request.form["vurdering"]
ledighet = request.form["ledighet"]
lokasjon = requ... | HeddaSkaare/studieplassen | backend/routes.py | routes.py | py | 494 | python | no | code | 0 | github-code | 18 | [
{
"api_name": "flask.request.form",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.request.form",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
1660739097 | # -*- coding: utf-8 -*-
from PyQt5.QtCore import (QObject, pyqtSignal, pyqtSlot)
import numpy as np
import cv2
import logging
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
class QVideoWriter(QObject):
frameNumber = pyqtSignal(int)
finished = pyqtSignal()
def... | mcmorre/QVideo | QVideo/dvr/QVideoWriter.py | QVideoWriter.py | py | 2,047 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Q... |
21589402274 | import random
from paddle.vision.transforms import functional as F
# from paddle.vision.transforms import RandomCrop
import numpy as np
import cv2
def horizontal_flip(im):
if len(im.shape) == 3:
im = im[:, ::-1, :]
elif len(im.shape) == 2:
im = im[:, ::-1]
return im
class Compose:
... | Foldit/Netdisk-Image-Demoireing-Rank7th | demoire-baseline/transforms.py | transforms.py | py | 5,317 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_numb... |
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