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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
332442747 | import os
import random
from collections import deque
from collections import namedtuple
import tensorflow as tf
import numpy as np
import model_builder
class Buffer:
def __init__(self, buffer_size, batch_size):
self.batch_size = batch_size
self.buffer_size = buffer_size
self.buffer_data ... | null | DQN/deep_q_network.py | deep_q_network.py | py | 9,106 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
46419682 | import ctypes
from collections import OrderedDict
from pathlib import Path
import numpy as np
from devito.logger import yask as log
from devito.ir.equations import LoweredEq
from devito.ir.iet import (Expression, FindNodes, FindSymbols, Transformer,
derive_parameters, find_affine_trees)
fro... | null | devito/yask/operator.py | operator.py | py | 9,866 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "devito.operator.Operator",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "devito.operator.Operator._default_headers",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "devito.operator.Operator",
"line_number": 32,
"usage_type": "name... |
427309383 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as np
import os
import json
from tensorflow.python.tools import optimize_for_inference_lib
from tensorflow.python.framework import graph_util
from subprocess import run
im... | null | pix2pix_exportcellphone_4.py | pix2pix_exportcellphone_4.py | py | 7,407 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.gfile.GFile",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.GraphDef",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tens... |
563053701 | from . import workshop
import json
@workshop.route("/workshop/getAllWg/")
def getAllWg():
c = [
{
"worgkshop_group_name": "Workshop Group A",
"numbreps_workshop": "2",
"host_ip": "123.123.122.2",
"status_s": "brightness_3",
"workshop_description": "desc",
... | null | TestbedManagementSystem/Files/JesusChavez/stargate/workshop/routes.py | routes.py | py | 1,624 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
}
] |
447861876 | #!/usr/bin/env python
#-*- coding:utf-8 -*-
# Author: LiuHuan
# Datetime: 2020/4/9 10:44
from itertools import combinations
def dep_relation(terms, txt, nlp):
doc = nlp(txt)
deps = []
for co in list(combinations(terms, 2)):
# 取短语最后一个词
if ' ' in co[0]:
a = co[0].split(' ')[-1]
... | null | dep_relation.py | dep_relation.py | py | 1,535 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 43,
"usage_type": "call"
}
] |
367225142 | from rest_framework import serializers
from regattas.models import Regatta, Event, Entry, Club, Race, Result
class ResultSerializer(serializers.ModelSerializer):
entry_name = serializers.StringRelatedField(
source='entry',
read_only=True
)
entry_id = serializers.PrimaryKeyRelatedField(
source='entry',
rea... | null | regattas/serializers.py | serializers.py | py | 2,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.StringRelatedField",
"line_number": 7,
... |
446105698 | import os
import requests
from bs4 import BeautifulSoup
headers = {
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 11_1_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36'
}
path = '/Users/knight/workspace/python/day01/spiderstory/xxx.txt'
if not os.path.exists(path):
os.mkdir... | null | learn_python/other/spiderstory/story.py | story.py | py | 1,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number"... |
130612518 | """Calculates verification metrics with confidence intervals"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import xarray as xr
import xskillscore as xs
from data_ingestion import read_data
def resample_dataset(filtered_df):
return filtered_df.sample(frac=1, replace=True)
def convert_... | null | Project2/src/03_verification_metrics.py | 03_verification_metrics.py | py | 5,520 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line... |
554970997 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import scrapy
from models import db_connect, create_tables, Article
from utils import redis_connect, oss_connect
from sqlalchemy... | null | practices/common_article_spider/common_article_spider/pipelines.py | pipelines.py | py | 4,459 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "utils.redis_connect",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "re.fi... |
337214103 | # coding: utf-8
import tensorflow as tf
import io
# from PIL import Image
# import matplotlib.pyplot as plt
class TensorBoardLogger(object):
def __init__(self, log_dir, session=None):
self.log_dir = log_dir
self.writer = tf.summary.FileWriter(self.log_dir)
# print('TensorBoardLogger start... | null | tensor_board_logger.py | tensor_board_logger.py | py | 2,339 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.summary.FileWriter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.summary",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.get_default_session",
"line_number": 17,
"usage_type": "call"
},
{
... |
254729396 | import logging
import urllib.parse
from typing import Any, Dict, Iterable, List, Optional, Tuple
import pydantic
import sqlalchemy.dialects.mssql
# This import verifies that the dependencies are available.
import sqlalchemy_pytds # noqa: F401
from pydantic.fields import Field
from sqlalchemy import create_engine, in... | null | metadata-ingestion/src/datahub/ingestion/source/sql/mssql.py | mssql.py | py | 11,432 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Logger",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "datahub.ingestion.source.sql.sql_common.register_custom_type",
"line_number": 37,
"usage_type": "ca... |
397453646 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from sklearn.model_selection import GridSearchCV , KFold
iris_data = pd.read_csv('./data/iris2.csv', encoding='utf-8')
# 붓꽃 데이터를 레이블과 입력 데... | null | ml/0807/m11_gridSearch_RF.py | m11_gridSearch_RF.py | py | 1,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 26,
"usage_type": "call"
},
{
... |
238808768 | import tensorflow as tf
import tempfile, os, zipfile
# tempfile.gettempdir()
def get_miniade20k(dataset_path=os.getcwd()):
num_classes = 152
dataset_size = 2000
zip_url = 'https://segmind-data.s3.ap-south-1.amazonaws.com/edge/data/segmentation/mini_ADE20K.zip'
path_to_zip_file = tf.keras.utils.get_file(... | null | utils.py | utils.py | py | 829 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.utils.get_file",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.... |
294495146 | # -*- coding: utf-8 -*-
# @Time : 2020/2/11 21:03
# @Author : 南国旧梦i
# @FileName: test1.py
# @Software: PyCharm
import time
import requests
from flask import Flask, make_response, request, json,render_template
from cx_homework2 import mobile_func
from cx_homework2.func import login
server = Flask('server'... | null | cx_homework2/server.py | server.py | py | 4,670 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "flask.request.cookies.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
231381194 | import numpy as np
import torch
def dice_coefficient(pred, target, *, epsilon=1e-10):
"""
This definition generalize to real valued pred and target vector.
This should be differentiable.
pred: tensor with first dimension as batch
target: tensor with first dimension as batch
"""
pred_flat = pred.contiguou... | null | vision/segmentation/loss_functions/dice_loss.py | dice_loss.py | py | 1,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random_sample",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.... |
387306614 | from i8自动化测试框架.comment.pageDriver import Action
from i8自动化测试框架.comment import getValueFromExcel
from selenium.webdriver.common.by import By
import time
class ini_operation(Action):
def __init__(self, driver=None):
Action.__init__(self, driver)
self.fileName = "mi8-仓库初始化.xlsx"
self.projectN... | null | i8自动化测试框架/case/MI8/test_仓库初始操作.py | test_仓库初始操作.py | py | 5,629 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "i8自动化测试框架.comment.pageDriver.Action",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "i8自动化测试框架.comment.pageDriver.Action.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "i8自动化测试框架.comment.pageDriver.Action",
"line_number": 9,
"u... |
544500304 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.template import loader
from django.http import HttpResponse, JsonResponse
import json
import requests
import operator
import sqlite3
# Create your views here.
def index(request):
return render(request, '... | null | journal/views.py | views.py | py | 5,431 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
482617338 | import json
parameter_operators = ['/', '-', '\\']
def sort_models_count_dicc(dicc):
dicc = sorted(dicc.items(), key=lambda x: order_function(x[0]), reverse=True)
return dicc
# Download all the attachment files for all emails in the inbox.
def order_function(order):
res = 0
for char in order[0]:
... | null | inventory_count.py | inventory_count.py | py | 1,198 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 36,
"usage_type": "call"
}
] |
334709714 | import argparse
from dataclasses import dataclass
from logzero import logger
from .proc import run_command
@dataclass(repr=False, eq=False)
class Scheduler:
"""Utility class for job submission using a scheduler."""
scheduler_name: str
submit_command: str
queue_name: str = None
def __post_init__(s... | null | BITS/util/scheduler.py | scheduler.py | py | 5,899 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logzero.logger.info",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logzero.logger",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "proc.run_command",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "dataclasses.datac... |
321602375 | #!/usr/bin/env python
# Programmer : zhuxp
# Date:
# Last-modified: 06-17-2013, 15:49:45 EDT
VERSION="0.1"
import os,sys,argparse
from xplib.Annotation import Bed
from xplib import TableIO
from xplib import DBI
import signal
signal.signal(signal.SIGPIPE,signal.SIG_DFL)
import gzip
import time
def ParseArg():
''' ... | null | bin/xCmpGene.py | xCmpGene.py | py | 3,963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "signal.signal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "signal.SIGPIPE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "signal.SIG_DFL",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.Argume... |
582462158 | import os
import smtplib
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
from email.mime.multipart import MIMEMultipart
import yaml
import logging
def send_mail(body, project_name):
path = os.getcwd()
config_path = path+"/test_data/mail/mail_config.yml"
logging.info("Reading from "+ con... | null | Oggy/lib/send_mail.py | send_mail.py | py | 885 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",... |
314651148 | #!/usr/bin/env python
from chdrft.cmds import CmdsList
from chdrft.main import app
from chdrft.utils.cmdify import ActionHandler
from chdrft.utils.misc import Attributize
from chdrft.utils.path import FileFormatHelper
import glog
global flags, cache
flags = None
cache = None
def args(parser):
clist = CmdsList().a... | null | acm/wf/18/check.py | check.py | py | 842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "chdrft.cmds.CmdsList",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "chdrft.utils.cmdify.ActionHandler.Prepare",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "chdrft.utils.cmdify.ActionHandler",
"line_number": 17,
"usage_type": "name... |
132514439 | # Copyright 2012-2015 NEC Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | null | networking_nec/plugins/openflow/rpc.py | rpc.py | py | 5,584 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "oslo_log.log.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "oslo_log.log",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "neutron.db.securitygroups_rpc_base.SecurityGroupServerRpcMixin",
"line_number": 31,
"usage_type": "at... |
81634349 | import os, sys
import requests
import xmltodict
from datetime import datetime
from dateutil import parser
from pprint import pprint
import copy
from collections import OrderedDict, defaultdict
import re
from util.util import to_dict, write_to_csv, value_or_blank, is_a_lot, is_a_virtual_lot, is_a_virtual_zone, correcte... | null | fetch_terminals.py | fetch_terminals.py | py | 21,791 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "parameters.local_parameters.path",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.path... |
429592053 | import requests
def getHTMLTest(url):
try:
r = requests.get(url,timeout=30)
r.raise_for_status()
r.encoding = r.apparent_encoding
return r.text
except:
return "产生异常"
if __name__ == "__main__":
url = "http://112.29.169.2:8081/omc/"
print(getHTMLTest(url)) | null | 爬虫/tongyongdaimakuangjia.py | tongyongdaimakuangjia.py | py | 278 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
}
] |
594647797 | # Server.py
import socket,json,os,time
LISTEN_ADDR = '127.0.0.1' #监听地址
DEFAULT_PORT = 8008 #监听端口
listenSock = None
def start():
listenSock = socket.socket()
listenSock.bind((LISTEN_ADDR, DEFAULT_PORT))
listenSock.listen(5)
while True:
(ctlSock, clientAddr) = listenSock.accept()
pr... | null | thinking1/Server.py | Server.py | py | 1,609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number... |
380604552 | from django.core.management.base import BaseCommand
from share.models import NormalizedData
from share.tasks import disambiguate
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument('normalized', nargs='*', type=int, help='The id(*) of the normalized data to make changes for'... | null | share/management/commands/disambiguate.py | disambiguate.py | py | 932 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "share.models.NormalizedData.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "share.models.NormalizedData.objects",
"line_number": 17,
... |
518400273 |
import sys
# sys.path.insert(1, './pyKinectAzure/')
sys.path.insert(1, './src/pyKinectAzure/')
import datetime
import numpy as np
import queue
import threading
# from . import pyKinectAzure
from .pyKinectAzure import _k4a
from .pyKinectAzure.pyKinectAzure import pyKinectAzure
from .pyKinectAzure.kinectBodyTracker i... | null | EfficientGCNv1/src/k4aBodyTracker.py | k4aBodyTracker.py | py | 10,821 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pyKinectAzure.pyKinectAzure.pyKinectAzure",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": ... |
500179208 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('banks', '0002_bank_csv_mapping'),
]
operations = [
migrations.RemoveField(
model_name='bank',
name='... | null | banks/migrations/0003_auto_20160124_1144.py | 0003_auto_20160124_1144.py | py | 987 | python | en | code | null | code-starcoder2 | 76 | [
{
"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.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
550911454 | import util
import chromadude.jellyjump.image as images
from pygame.locals import *
import pygame
class Main():
def __init__(self, view):
images.load_game_images()
self.view = view
self.highlighted_buttons = [0, 0, 0]
self.pause_start_time = None
self.background = None
... | null | src/chromadude/jellyjump/scenes/menu.py | menu.py | py | 5,165 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "chromadude.jellyjump.image.load_game_images",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "chromadude.jellyjump.image",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pygame.Rect",
"line_number": 16,
"usage_type": "call"
},
{
"... |
98623129 | import requests
import urllib.parse as rep
import urllib.request as req
from bs4 import BeautifulSoup
import os
# 로그인 유저 정보
LOGIN_INFO = {
'log': 'outsider7224',
'pwd': 'dmsrl8482',
'user-submit': rep.quote_plus('로그인'),
'user-cookie': 1
}
with requests.Session() as s:
login_req = s.post('https://w... | null | WebCrawler/Requests/download3-4-2.py | download3-4-2.py | py | 1,063 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.parse.quote_plus",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSo... |
408829908 | # encoding: utf-8
import json
import datetime
import string
from flask import request, g, jsonify
from flask.ext.security import login_required
from myapp.models import User, WeiboList
from myapp import app, db
from myapp.api_app import api_app
from weibo import APIClient
client = APIClient(app_key=app.config['APP... | null | myapp/api_app/api_status_view.py | api_status_view.py | py | 4,693 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "weibo.APIClient",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "myapp.app.config",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "myapp.app",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "myapp.app.config",
... |
174726364 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Only used for testing different word and sentence splitting options.
"""
import spacy
import re
import nltk.data
import nltk.tokenize
# some sentences that should test quite a few things to work correctly when splitting
doc1 = "As the most quoted English writer Shakespea... | null | split_text_test.py | split_text_test.py | py | 2,827 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.split",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "spacy.load",
"line_number": 62,
... |
362557165 | from CheckSystem.Health import HealthProcessor
from CheckSystem.Judgement import Check
from collections import namedtuple
import copy
from global_var import Settings
Info = namedtuple("Info", "time combo combostatus showscore score accuracy clicks hitresult timestamp id hp more")
Circle = namedtuple("Circle", "state ... | null | src/CheckSystem/HitObjectChecker.py | HitObjectChecker.py | py | 8,027 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "co... |
51114352 | import compose_utility
import numpy as np
import sounddevice as sd
import soundfile as sf
cu = compose_utility.ComposeUtility()
params = np.zeros(8) + 1.0
audio = cu.make_note_osc(params, 5.0)
audio2 = cu.predictive_feedback(cu.make_note_osc(params, 30.0))
sd.play(audio, 44100)
sd.wait()
sd.play(audio2, 44100)
audio3 ... | null | probably_useful_for_author_only/test_predictive_feedback.py | test_predictive_feedback.py | py | 1,226 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "compose_utility.ComposeUtility",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sounddevice.play",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sounddevice... |
136462267 | import functools
import os
import time
import win32gui, win32com.client
from pywinauto.application import Application
from pywinauto.controls.common_controls import TabControlWrapper
PATH_TO_EXE = os.path.join("lazy-z.com", "winnings", "winnings.exe")
BUTTON = 'TBitBtn'
RADIOBUTTON = 'TRadioButton'
CHECKBOX = 'TChec... | null | calculator.py | calculator.py | py | 7,767 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "functools.wraps",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
"line... |
570132386 | # -*- coding: utf-8 -*-
import json
from kinto_signer.serializer import canonical_json
#
# Kinto specific
#
def test_supports_records_as_iterators():
records = iter([
{'bar': 'baz', 'last_modified': '45678', 'id': '1'},
])
canonical_json(records, '45678')
def test_provides_records_in_data_alon... | null | tests/test_serializer.py | test_serializer.py | py | 4,921 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "kinto_signer.serializer.canonical_json",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "kinto_signer.serializer.canonical_json",
"line_number": 22,
"usage_type": "call"
},
... |
142082963 | """A simple example of how to access the Google Analytics API."""
# GOOGLE API
import argparse
from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools
from googleapiclient.errors import HttpError
# END GOOGLE API
imp... | null | OnlineMarketingDashboard/imports/google_analytics/google_analytics_devices.py | google_analytics_devices.py | py | 6,374 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "oauth2client.tools.argparser",
"line_number": 33,
"usage_type": "attrib... |
205107623 | """DQN model class for RL experiments with neural net function approx.
Written by: Zahi Kakish (zmk5)
"""
from typing import List
import numpy as np
from tensorflow import keras
from tensorflow.keras.optimizers import Adam
from mrt_msgs.srv import Gradients
from mrt_msgs.srv import Weights
class ServerPolicyDQN()... | null | mrt_server/mrt_server/policy/dqn.py | dqn.py | py | 3,937 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "tensorflow.keras.Sequential",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "tensorflow.k... |
257158298 | from zipfile import ZipFile
import os
def get_all_file_paths(directory):
# initializing empty file paths list
file_paths = []
# crawling through directory and subdirectories
for root, directories, files in os.walk(directory):
for filename in files:
# join the two strings in order to form the full filepath.
... | null | CreateZip/createzip.py | createzip.py | py | 989 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.walk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "zipfile.ZipFile",
"line_number"... |
319927950 | #!/usr/bin/env python3
"""
Name: Daniel Krepski
Email: dkrepski@madisoncollege.edu
Assignment: Week 13 - Website Interaction
"""
import requests
import bs4
res = requests.get('https://notpurple.com')
res.raise_for_status()
notpurplesoup = bs4.BeautifulSoup(res.text, 'html.parser')
title=notpurplesoup.select('title')
l... | null | week13-inspect-web.py | week13-inspect-web.py | py | 396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 12,
"usage_type": "call"
}
] |
277006815 | """
Django settings for orienting project.
For more information on this file, see
https://docs.djangoproject.com/en/1.6/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.6/ref/settings/
"""
# Static settings common to all environments
import os
from django.utils... | null | src/config/settings/base.py | base.py | py | 3,829 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
213515723 | # !/usr/bin/python
# -*- coding:utf-8 -*-
from django.conf.urls import url
from . import views
app_name = 'books'
urlpatterns = [
# ex:/books/
url(r'^$', views.index, name='index'),
# ex:/books/5/
url(r'^search_form/$', views.search_form, name='search_form'),
# ex:/books/5/results/
url(r'^... | null | books/urls.py | urls.py | py | 756 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django... |
417460796 | import matplotlib.pyplot as plt
import numpy as np
from keras import backend as K
from keras.datasets import mnist
from keras.utils import to_categorical
from sklearn.metrics import confusion_matrix
from preprocess import preprocess
from buildModel import buildModel
from getHyperparameters import getHyperparameters
fro... | null | mnistNumbers/mainTraining.py | mainTraining.py | py | 1,496 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "preprocess.preprocess",
"line_number": 14,
"usage_type": "call"
},
{
"api_nam... |
480185474 | import pyttsx3
import PyPDF2
from tkinter.filedialog import *
print("Input a PDF text only file:")
book=askopenfilename()
pdfreader=PyPDF2.PdfFileReader(book)
pages=pdfreader.numPages
for num in range(0,pages):
page=pdfreader.getPage(num)
text=page.extractText()
player=pyttsx3.init()
player.say(text)
... | null | main.py | main.py | py | 342 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyttsx3.init",
"line_number": 12,
"usage_type": "call"
}
] |
584411688 | import base64
import json
class BaseTestCloudAuth:
"""
Required
setup: initialize test case
teardown: del items for test
decode: check decoded token and assigned info
"""
ACCESS_TOKEN = ""
SCOPE_ACCESS_TOKEN = ""
ID_TOKEN = ""
TESTCLIENT = None
def assert_get_res... | null | tests/helpers.py | helpers.py | py | 1,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_n... |
82919787 | import http
import logging
from abc import ABCMeta, abstractmethod
from collections import namedtuple
import json
from django.conf import settings
from typing import List
import base64
import requests
from django.http import JsonResponse
log = logging.getLogger('smesco')
TokenResponse = namedtuple('TokenResponse', ['t... | null | src/smesco/apps/payment/gateway.py | gateway.py | py | 4,646 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "abc.ABCMeta",
... |
523202694 | # Copyright 2020 Alex Woroschilow (alex.woroschilow@gmail.com)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | null | src/modules/apprepo_appimage/apprepo/icon.py | icon.py | py | 1,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 39,
... |
59536371 | from setuptools import setup, find_packages
with open('README.md', encoding='utf8') as fr:
readme = fr.read()
setup(
name='auto_contract',
version='0.1',
keywords='static, contract, auto',
description='make your scalable contracts easily for your python projects.',
long_description=readme,
... | null | setup.py | setup.py | py | 919 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 17,
"usage_type": "call"
}
] |
161176658 | ### This file: line-by-line translation from Algorithm 2
### in the paper "Representing higher-order dependencies in networks"
### Code written by Jian Xu, Jan 2017
### Technical questions? Please contact i[at]jianxu[dot]net
### Demo of HON: please visit http://www.HigherOrderNetwork.com
### Latest code: please visit ... | null | Data_analysis/HON_Creation/jianxu_BuildNetwork.py | jianxu_BuildNetwork.py | py | 2,138 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
}
] |
318561832 | '''
Classes for user information for the
social network project
'''
# pylint: disable=R0903
import logging
from peewee import IntegrityError, DoesNotExist
import socialnetwork_model as sql
class UserCollection():
'''
Interfaces with the User table
'''
def __init__(self):
self.table = sql.User
... | null | Python/320/assignment 06/sqlite/users.py | users.py | py | 2,664 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socialnetwork_model.User",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "socialnetwork_model.db",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
379078015 | import base64
import hashlib
# 说道摘要算法，首先要明确哈希函数的作用。
# Hash，一般翻译做“散列”，也有直接音译为”哈希”的，就是把任意长度的输入，通过散列算法，变换成固定长度的输出，该输出就是散列值。
# 与加密解密不同，摘要算法是一个不可逆的算法，但不同的输入有可能会产生相同的哈希值，这就是碰撞。
# 摘要算法的典型应用是对一段信息产生信息摘要，以防止被篡改。
def MD5(data, charset='utf-8'):
'''
MD5是一个信息摘要算法，通常用于密码的加密存储，数字签名，文件完整性验证等。
:param data:
:param... | null | new_p6_network_security/摘要算法.py | 摘要算法.py | py | 2,557 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hashlib.md5",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "hashlib.sha1",
"line_number"... |
601311852 | # -*- coding: utf-8 -*-
import scrapy
import csv
import urllib
import urlparse
from retrieve_faces.items import FaceItem
class ToshinSpider(scrapy.Spider):
name = "toshin"
allowed_domains = ['www.toshin.com']
base_urls = [
"http://www.toshin.com/taikenki/2013/box_list.php",
"http:... | null | scrapy/retrieve_faces/retrieve_faces/spiders/toshin_spider.py | toshin_spider.py | py | 3,190 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"... |
285930179 | from dataclasses import fields, MISSING, is_dataclass, Field, dataclass, field as dc_field
from typing import Dict, Any, TypeVar, Type, Union, Callable, List, Collection, Optional, Set, Mapping, Tuple, get_type_hints
import copy
class DaciteError(Exception):
pass
class WrongTypeError(DaciteError):
def __ini... | null | dacite.py | dacite.py | py | 13,907 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.Field",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "dataclasses.Field",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dataclasses.Field",
... |
438489629 | import re, yaml, json
from pymongo import MongoClient
from os import path, pardir
from json_ref_dict import RefDict, materialize
################################################################################
def read_bycon_configs_by_name(name, byc):
"""podmd
Reading the config from the same wrapper dir:
... | null | beaconServer/lib/read_specs.py | read_specs.py | py | 3,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "yaml.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 2... |
328773504 | import numpy as np
from collections import defaultdict
import json
from nltk.tokenize import word_tokenize
def str_lower_cleaner(s):
return s.replace("''",'" ').replace('``','" ').lower()
def my_tokenize(s):
tokens = word_tokenize(s)
tokens = ['"' if t == "''" or t=='``' else t for t in tokens]
... | null | NLP/BIDAF/load_dataset.py | load_dataset.py | py | 10,072 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collect... |
146041996 | from itertools import combinations
main_input = input()
listValue = input().split()
comboValue = input()
a = list(combinations(listValue,int(comboValue)))
final = len(a)
count = 0
for i in a:
if "a" in i:
count +=1
print("{:3f}".format(count/final)) | null | Python(Done)/050 Iterables and Iterators/Solution.py | Solution.py | py | 265 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 7,
"usage_type": "call"
}
] |
172634263 | import unittest
from atlasclient.exceptions import BadRequest
from mock import patch, MagicMock
from metadata_service.entity.popular_table import PopularTable
from metadata_service.entity.table_detail import (Table)
from metadata_service.exception import NotFoundException
from metadata_service.proxy.atlas_proxy impor... | null | tests/unit/proxy/test_atlas_proxy.py | test_atlas_proxy.py | py | 6,952 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mock.patch",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "metadata_service.proxy.atlas_proxy.AtlasProxy",
"line_number": 16,
"usage_type": "call"
},
{
"a... |
85353641 | """
Copyright 2020 InfAI (CC SES)
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in... | null | zway/zway.py | zway.py | py | 6,521 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logger.root_logger.getChild",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "logger.root_logger",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "configuration.config.Zway",
"line_number": 32,
"usage_type": "attribute"
},
{
"api... |
156735106 | from sklearn.ensemble import BaggingClassifier
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
train_features = pd.read_csv('../data/dengue_features_train.csv')
train_labels = pd.read_csv('../data/dengue_labels_train.csv')
test_data = pd.read_csv('../data/deng... | null | algorithms/Bagging.py | Bagging.py | py | 1,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.La... |
363684710 | import functools
import traceback
import requests
# 参数化装饰器
def retry(attempt):
def decorator(func):
@functools.wraps(func)
def wrapper(*arg, **kw):
att = 0
while att < attempt:
try:
return func(*arg, **kw)
except Exceptio... | null | utils/retry.py | retry.py | py | 1,749 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.wraps",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "traceback.print_exc",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "functools.wraps",
... |
20822903 | #!/usr/bin/env python
from __future__ import print_function
from optparse import OptionParser
from os.path import exists
from swift.cli.ringbuilder import main as rb_main
import json
import sys
import threading
USAGE = "usage: %prog -f <swift_cluster_json>"
def run_and_wait(func, *args):
t = threading.Thread(ta... | null | config/swift/rings/build_rings.py | build_rings.py | py | 2,267 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "swift.cli.ringbuilder.main",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "swift.cli.ringbuilder.main",
"line_number": 33,
"usage_type": "argument"
},
{
"ap... |
414022053 | import torch
from model import LeNet
from PIL import Image
import numpy as np
import argparse
def img2MNIST(filename):
img = Image.open(filename).convert('L')
img = img.resize((28,28),Image.ANTIALIAS)
arr = []
for i in range(28):
for j in range(28):
pixel = float(img.get... | null | sample_predict.py | sample_predict.py | py | 1,177 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_... |
234200499 | '''
Created on 2017. 7. 16.
@author: Park
'''
import socket
import cv2
import numpy as np
import os
import sys
import platform
def recvall(sock,count):
buf = b''
while count:
newbuf = sock.recv(count)
if not newbuf: return None
buf += newbuf
count -= len(newbu... | null | PaintsChainer/images/Client2.py | Client2.py | py | 1,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socket.gethostname",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_UNCHANGED",
"... |
532593355 | # -*- coding: utf-8 -*-
"""
@author: Wei, Shuowen
https://leetcode.com/problems/array-of-doubled-pairs/
LC954, LC2007
"""
import collections
class Solution(object):
def canReorderDoubled(self, arr):
"""
:type arr: List[int]
:rtype: bool
"""
# solution 1: O(NlogK)
# ... | null | Medium/LC954.py | LC954.py | py | 1,348 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
}
] |
296387363 | import beluga
import logging
ocp = beluga.Problem()
# Define independent variables
ocp.independent('t', 's')
# Define equations of motion
ocp.state('r', 'v_r', 'L') \
.state('theta', 'v_theta/r', 'rad') \
.state('v_r', 'v_theta**2/r - mu/r**2 + Tf*cos(alpha)', 'L/s') \
.state('v_theta', '-v_r*v_theta/r +... | null | examples/Astrodynamics/OrbitRaising/HighThrust.py | HighThrust.py | py | 2,429 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "beluga.Problem",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "beluga.bvp_algorithm",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "beluga.bvp_algorithm",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "beluga.guess_... |
530133562 | #coding:utf8
import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import object_session
import sqlalchemy as SA
from ..espoirjson import EspoirJson
from ..globalobject import GlobalObject
class Config(object):
def __init__(self):
self.mysql_url = None
self.... | null | echecs_hall/app/extensions/mysql/mysql_base.py | mysql_base.py | py | 1,081 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "globalobject.GlobalObject",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.object_session",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 23,
"usage_type": "call"
},
{
"api_nam... |
457021997 | #!/usr/bin/env python3
"""
Author : wwong3
Date : 2019-MAR-19
Purpose: War Game >.<
"""
import argparse
import sys
import random
from itertools import product
# --------------------------------------------------
def get_args():
"""get command-line arguments"""
parser = argparse.ArgumentParser(
descr... | null | assignments/10-war/war.py | war.py | py | 2,189 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 34,
"usage_type": "attribute"
},
{
... |
386083688 | from parser.pcfgs.pcfgs import PCFG_base
from parser.pcfgs.fn import stripe, diagonal_copy_, checkpoint
import torch
class TDPCFG(PCFG_base):
def __init__(self):
super(TDPCFG, self).__init__()
def loss(self, rules, lens):
return self._inside(rules, lens)
@torch.enable_grad()
def _in... | null | parser/pcfgs/tdpcfg.py | tdpcfg.py | py | 3,738 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "parser.pcfgs.pcfgs.PCFG_base",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "parser.pcfgs.fn.checkpoint",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "parser.pcfgs.fn.checkpoint",
"line_number": 42,
"usage_type": "name"
},
{
... |
338041574 | import os
from urllib.parse import quote_plus
import requests
from django.conf import settings
from django.contrib.sites.shortcuts import get_current_site
from django.http import Http404
from django.template.defaultfilters import date
from django.templatetags.l10n import localize
from django.templatetags.tz import utc... | null | simple_ui/views.py | views.py | py | 8,313 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "djng.views.mixins.JSONResponseMixin",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.views.generic.base.View",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.activate",
"line_number": 41,
"usage_type": "... |
176558609 | #! python2
#coding: utf-8
import sys
import os
# #=========================================================
# #无论哪个文件执行，只要执行，就把当前路径切换到脚本的根目录
# #目前执行，只有两地，enter和脚本，如果后续还有其他的执行地可以在这个地方扩展
if __name__ == '__main__':
if "interfaces" in os.getcwd():
os.chdir("../../../..")
sys.path.append(".")
else:
... | null | interface_test_tool/utils/father_for_call.py | father_for_call.py | py | 11,402 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
... |
220811172 | #coding:utf-8
# vscode读取不到了包路径解决方案
import sys
import os
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(rootPath)
import smtplib
from email.mime.text import MIMEText
from email.mime.application import MIMEApplication
from email.mime.multipart import MIMEMultipa... | null | auto_python5_V3/common/handleemail.py | handleemail.py | py | 1,678 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_n... |
151798818 | #!/usr/bin/env python
"""
This module runs basic Quil text files against the Forest QVM API.
"""
from __future__ import print_function
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pyquil import Program, get_qc
help_string = "Script takes two arguments. Quil program filename is required as ... | null | examples/run_quil.py | run_quil.py | py | 1,199 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pyquil.Program",
"line_number": 28,
"usage_type": "call"
},
{
"api... |
520150271 | """Train a model on SQuAD.
Author:
Chris Chute (chute@stanford.edu)
"""
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as sched
import torch.utils.data as data
import util
from args import get_train_a... | null | train.py | train.py | py | 17,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "args.save_dir",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "util.get_save_dir",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "args.name",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "util.get_logger",... |
535816829 | # -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
#from openerp import api, fields, models, _
from datetime import datetime
from odoo import api, fields, models, _
from cStringIO import StringIO
import xlwt
import base64
class ExportCsvReportStock(models.TransientModel... | null | sale_purchase_xls_report/wizard/export_csv_report_stock.py | export_csv_report_stock.py | py | 15,309 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Binary",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "odoo.f... |
543789768 | from collections import Counter
class Solution:
def hasGroupsSizeX(self, deck) -> bool:
d = Counter(deck)
if len(deck) <= 1:
return False
res = list(d.values())
minnum = min(res)
if minnum == 1:
return False
for j in ra... | null | 卡牌分组.py | 卡牌分组.py | py | 583 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
}
] |
275143748 | #!/usr/bin/env python3
"""
-------------------------------------------------------------------------------
Classes to implement a Hidden Markov Model (HMM).
-------------------------------------------------------------------------------
"""
import numpy as np
import csv
import time
import glob
import sys # fo... | null | hmm.py | hmm.py | py | 45,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.log",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 53,
... |
109898398 | from setuptools import setup, find_packages
from os import path
HERE = path.abspath(path.dirname(__file__))
LONG_DESCRIPTION = ''
with open(path.join(HERE, 'README.md')) as readme_file:
LONG_DESCRIPTION = readme_file.read()
setup(
name='whotracksme',
version='2017.11',
description='Learn about track... | null | setup.py | setup.py | py | 1,861 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
527263908 | from django import forms
from tracker.models import EmergencyRequest
from tracker.constants import ADDITIONAL_PERSONS_TF
class EmergencyRequestForm(forms.ModelForm):
additional_persons = forms.CharField(widget=forms.Textarea, label="Is there anyone else with you?", help_text=ADDITIONAL_PERSONS_TF, required=False)... | null | tracker/forms/emergency_request_form.py | emergency_request_form.py | py | 810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.f... |
199364614 | import asyncio
import os
from aiogram import Bot
from aiogram.contrib.fsm_storage.memory import MemoryStorage
from aiogram.dispatcher import Dispatcher
from aiogram.dispatcher import FSMContext
from aiogram.types import ReplyKeyboardMarkup, KeyboardButton
from aiogram import Bot, Dispatcher, types
from aiogram.contri... | null | main.py | main.py | py | 8,459 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aiogram.Bot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "aiogram.contrib.fsm_storage.memory.MemoryStorage",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "aiogram.Dispatcher",
"line_number": 24,
"usage_type": "call"
},
{
"a... |
594478420 | import pathlib
from setuptools import setup
# The directory containing this file
HERE = pathlib.Path(__file__).parent
# The text of the README file
README = (HERE / "README.md").read_text()
setup(
name="tourist-maker",
version="1.0.0",
description="Tourist greeter",
long_description=README,
long_... | null | setup.py | setup.py | py | 799 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
}
] |
30679763 | import os
import argparse
from glob import glob
from bilm.training import tag, load_options_latest_checkpoint, load_vocab
from bilm.data import LMDataset, BidirectionalLMDataset
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '4'
def main(args):
print(args)
print('-' * 100)
print('Loading models and options...')
... | null | bin/run_tag.py | run_tag.py | py | 1,658 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "bilm.training.load_options_latest_checkpoint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "bilm.training.load_vocab",
"line_number": 21,
"usage_type": "call"
},
{
... |
466887704 | import numpy as np
from math import pi, sin, cos, tan
import matplotlib.pyplot as plt
dist_meas_percent_tolerance = 0.2
wall_length = 1.25
xlims = np.array([-wall_length/2, wall_length/2])
ylims = np.array([-wall_length/2, wall_length/2])
position = np.array([0.5*(max(xlims) + min(xlims)), 0.5*(max(ylims) + min(ylims... | null | test_scripts/geo_test2.py | geo_test2.py | py | 12,471 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11... |
434575839 | import heapq
from collections import deque
def main(path):
with open(path) as infile:
line = infile.read().split('\n')
rawmap = list(map(list, line))
portals = dict()
# Checks the 4 outer edges, -1 to flag as outer portal
# Top Edge
for x in range(len(rawmap[0])):
mapchar = rawmap[0][x]
if (mapchar.isa... | null | 2019_original/Day 20/d_20.py | d_20.py | py | 5,569 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_number": 150,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
... |
418489848 | # Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | null | aria/orchestrator/workflow_runner.py | workflow_runner.py | py | 6,947 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "context.workflow.WorkflowContext",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "workflows.executor.process.ProcessExecutor",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "workflows.core.engine.Engine",
"line_number": 88,
"usage_type... |
389348142 | from django.conf.urls import patterns, include, url
from django.conf import settings
from django.conf.urls.static import static
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
url(r'^$', 'apps.main.views.index', name='index'),
url(r'^topic/(?P<topic_id>\d+)$', ... | null | source/urls.py | urls.py | py | 1,034 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 8,
"usage_type": "call"
},
{
"api... |
529793250 | '''
Created on Feb 29, 2020
@author: Siddhartha
'''
import getopt
import socket
import sys
from labs.common.ActuatorData import ActuatorData
from labs.common.SensorData import SensorData
from labs.common.ConfigUtil import ConfigUtil
import logging
from coapthon.client.helperclient import HelperClient
from coapthon.me... | null | apps/labs/module07/CoapClientConnector.py | CoapClientConnector.py | py | 2,273 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "labs.common.ConfigUtil.ConfigUtil",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "coapthon.client.helperclient.HelperClient",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "coapthon.messages.response",
"line_number": 42,
"usage_type":... |
346540008 | #-*-coding=utf-8-*-
from PIL import Image
import requests
from lxml import etree
from io import BytesIO
import pytesseract
def download(url,retry=3):
try:
r=requests.get(url=url)
except Exception as e:
print(e)
if retry <0:
return None
else:
download(url,retry-1)
return r.text
def getCaptcha():
url... | null | datamining/chapter7.py | chapter7.py | py | 917 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lxml.etree.HTML",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number... |
217511575 | #Definition for singly-linked list.
from typing import List
class Solution:
def minMeetingRooms(self, S: List[List[int]]) -> int:
if S is None or len(S) == 0: return 0
S.sort(key=lambda se: se[0])
max_room = 1
cur_room = 1
dup_room = 1
dup_s = dup_e = None
pr... | null | lc/mdm/20190813_mdm_253_meeting_room_ii.py | 20190813_mdm_253_meeting_room_ii.py | py | 1,463 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
275260741 | import requests
from PIL import Image, ImageOps
from flask import request, Response
from foundation import create_app
from tests.artwork_classification import recognize
from tests.primary_color_detection import crop_image, get_primary_color
app = create_app('/home/danielng/Projects/the-eye/config.py')
@app.route('/... | null | Back-end/art-in-eyes-master/app.py | app.py | py | 1,706 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "foundation.create_app",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.files.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.files",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": ... |
406967227 | # -*- coding: utf-8 -*-
from enum import Enum
from .config_role import RoleName
class ScreenName(Enum):
"""
Screen name define
"""
CreateCourse = 2
Course = 3
User = 4
Statistical = 5
Master = 6
ManagerStastical = 7
"""
Screen name and role name mapping
"""
config_menus_roles... | null | Source/remi/default/config/config_menu.py | config_menu.py | py | 1,417 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "config_role.RoleName.Admin",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "config_role.RoleName",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "config_... |
880095 | import cv2
import pytesseract
pytesseract.pytesseract.tesseract_cmd = "C:\\Program Files\\Tesseract-OCR\\tesseract.exe"
img = cv2.imread('1.png')
img = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
# print(pytesseract.image_to_string(img))
# Detecting Characters
# print(pytesseract.image_to_boxes(img))
# hImg,wImg,_ = img.shap... | null | TessaractOCR/textDetection.py | textDetection.py | py | 2,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytesseract.pytesseract",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",... |
5853654 | from django.shortcuts import render, redirect
from django.contrib import messages
from django.db.models import Q
from .models import User, Trip
import bcrypt
# Create your views here.
def main(request):
return render(request, 'main.html')
def register(request):
print(request.POST)
resultFromValidator = User.objec... | null | python_stack/django/django_full_stack/travel_buddy1/travelApp/views.py | views.py | py | 3,053 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.User.objects.validateUser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.User.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
... |
295629147 | from argparse import ArgumentParser
import os
import glob
from datetime import datetime
import shutil
import yaml
from tqdm import tqdm
import torch
import numpy as np
from collections import defaultdict
import h5py
import getpass
from sklearn.manifold import TSNE
import data
import model
import probe
import regimen
... | null | structural-probes/extract.py | extract.py | py | 6,306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.save",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number"... |
524476011 | # -*- coding: utf-8 -*-
#
# libchannels - update channels management library
# Copyright (C) 2015 Eugenio "g7" Paolantonio
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# versi... | null | libchannels/updates.py | updates.py | py | 10,737 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "apt_pkg.config.set",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "apt_pkg.config",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "apt_pkg.conf... |
325560406 | """empty message
Revision ID: 61c292cb641e
Revises: 837ceb94bac6
Create Date: 2017-06-10 14:55:15.069845
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision = '61c292cb641e'
down_revision = '837ceb94bac6'
branch_labels = None
depe... | null | migrations/versions/61c292cb641e_.py | 61c292cb641e_.py | py | 796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.drop_index",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.drop_column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "alembic.op",
... |
562192137 | #file = open("input-crisscross.txt", "r").read()
import requests
file = requests.get('https://s3-eu-west-1.amazonaws.com/knowit-julekalender-2018/input-bounding-crisscross.txt').text
#file = "2H2F2H1B3V"
h, f, b, v = 0, 0, 0, 0
for i in range(1, len(file), 2):
c = file[i]
num = int(file[i-1])
if c == 'H':... | null | Informatikk/Bachelor/julekalender_knowit/11/11.py | 11.py | py | 456 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 4,
"usage_type": "call"
}
] |
147831995 | import numpy as np
import cv2
from matplotlib import pyplot as plt
import time
from sklearn.svm import SVC
from sklearn.externals import joblib
class ImageProcessor:
width = 8
height = 9
# Hough Circles parameters
ir = 2
mindist = 85
param1 = 50
param2 = 40
minr = 40
maxr = 48
... | null | ImageProcessing.py | ImageProcessing.py | py | 8,830 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 36,
"usage_type": "attribute"
},
{
"api... |
186016086 | import json
from utils import log
from utils import current_time
def save(data, path):
s = json.dumps(data, indent=2, ensure_ascii=False)
with open(path, 'w+', encoding='utf-8') as f:
return f.write(s)
def load(path):
with open(path, 'r', encoding='utf-8') as f:
s = f.read()
ret... | null | model.py | model.py | py | 4,457 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utils.log",
"line_number": 115,
"usage_type": "call"
}
] |
201138192 | # -*- coding=utf8 -*-
import requests
from bs4 import BeautifulSoup
def qiushibaike():
content = requests.get('http://www.qiushibaike.com').content
soup = BeautifulSoup(content, 'html.parser')
for div in soup.find_all('div', {'class' : 'content'}):
print(div.text.strip())
def ustcjob():
he... | null | python爬虫/糗事百科爬取(requests+bs4).py | 糗事百科爬取(requests+bs4).py | py | 1,033 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"li... |
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