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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
516642055 | r"""Test `lmp.tokenizer.CharListTokenizer.detokenize`.
Usage:
python -m unittest \
test/lmp/tokenizer/_char_list_tokenizer/test_detokenize.py
"""
# built-in modules
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_... | null | test/lmp/tokenizer/_char_list_tokenizer/test_detokenize.py | test_detokenize.py | py | 3,951 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "lmp.tokenizer.CharListTokenizer",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "lmp.tokenizer.CharListTokenizer",
"line_number": 33,
"usage_type": "call"
},
{... |
307704489 | import string
from hashlib import sha1
from re import compile
from json import dump
from csv import reader
from unicodedata import normalize
from model import restaurant_types, remove_from_place
from utils import calculate_distance
class ItemParser():
def __init__(self, filename, item_types):
self.f... | null | xtras/poc.py | poc.py | py | 4,565 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.reader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "model.remove_from_place",
"line_number": 50,
"usage_type": "argument"
},
{
"api_name": "re.compile",
"l... |
301590972 | """
This module contains the implementations of all three SniffNet models
"""
from keras.layers import Conv2D
from keras.models import Sequential
from keras.layers import AveragePooling2D
from keras.layers import MaxPooling2D
from keras.layers import BatchNormalization
from keras.layers import Flatten, Dropout, Add... | null | models.py | models.py | py | 4,694 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.models.Sequential",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.BatchNormalization",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
143130756 | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 5 18:09:10 2020
イベントランキング
"""
from bs4 import BeautifulSoup
import AbsHtmlPage
import ProfilePage
from datetime import datetime
import csv
import pandas as pd
import json
class EventPage(AbsHtmlPage.AbsHtmlPage):
eventPageName = 'event'
pageDatetime = 'a'
c... | null | getsrdata/EventPage.py | EventPage.py | py | 7,432 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "AbsHtmlPage.AbsHtmlPage",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "d... |
173670654 | # Class for serial port open/read/write
import re, logging, sys, time, os, signal, platform
import pexpect
from framework.globalconfig.gc import *
from framework.connection import ConnectionInterface
DEFAULT_LOGIN_PATTERN = ".*login:.*"
DEFAULT_PWD_PATTERN = "Password:"
class SerialPort(ConnectionInterface.Connectio... | null | framework/serial/serialD.py | serialD.py | py | 6,823 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "framework.connection.ConnectionInterface.ConnectionInterface",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "framework.connection.ConnectionInterface",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pexpect.spawn",
"line_number": 27,... |
361742187 | import mistune
import latex2mathml.converter
import os
def py_states(content):
states = '```{}```'
state = 0
new_content = ''
word = ''
for c in content:
if states[state] == c:
if state == 7:
new_content = new_content + '</pre></div>'
... | null | MDgen.py | MDgen.py | py | 5,318 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "latex2mathml.converter.converter.convert",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "latex2mathml.converter.converter",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "latex2mathml.converter",
"line_number": 43,
"usage_type": ... |
653333658 | import numpy as np
from scipy import linalg as lin
from matplotlib import pyplot as plt
from matplotlib import animation
import mpl_toolkits.mplot3d.axes3d as p3
def project_3d(arr):
return [*arr.real[view_dims], arr.imag[0]]
view_dims = [0, 1]
matrix = np.matrix([
[0, 1, 0],
[0, 0, 1],
[-1, 0, 0]... | null | matvis2ni.py | matvis2ni.py | py | 1,562 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.matrix",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.linalg.det",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scipy.linalg",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.pi",
"line_numbe... |
306880342 | # pylint: disable=R0913,R0903
"""
dayong.configs
~~~~~~~~~~~~~~
Initial setup and configuration logic.
"""
import json
import os
from pydantic import BaseModel
from dayong.settings import CONFIG_FILE
class DayongConfig(BaseModel):
"""Data model for Dayong's configuration."""
bot_prefix: str
bot_token:... | null | dayong/configs.py | configs.py | py | 1,960 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "dayong.settings.CONFIG_FILE",
"line_number": 57,
"usage_type": "argument"
},
{
"api_name": "json.load",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.envir... |
58083649 | import pygame
from plane_sprites import*
class PlaneGame(object):
def __init__(self):
print('游戏初始化')
#1.创建游戏的窗口
self.screen=pygame.display.set_mode(SCREEN_RECT.size)
#2.创建游戏的始终
self.clock=pygame.time.Clock()
#3.调用私有方法,精灵和精灵组的创建
self.__create_sprites()
... | null | 飞机大战/plane_main.py | plane_main.py | py | 2,239 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.time.Clock",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.ti... |
514215494 | import json
import unittest
import boto3
from pygglz.dynamodb import DynamodbRepository
from pygglz.feature_state import FeatureState
class LocalDynamodb(object):
def __init__(self):
self.endpoint_url = "http://localhost:4569"
self.resource = boto3.resource('dynamodb', endpoint_url=self.endpoint... | null | integration_tests/dynamodb_repository_integration_test.py | dynamodb_repository_integration_test.py | py | 2,651 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "boto3.resource",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_... |
552043694 | #-*- coding: utf-8 -*-
##############################################################################
#
# NUMA Extreme Systems (www.numaes.com)
# Copyright (C) 2013
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# ... | null | numa_cheque_printing/payable_cheque.py | payable_cheque.py | py | 7,524 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "openerp.models.Model",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "openerp.models",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "openerp.fi... |
32107906 | import json
import logging
from string import Template
from flask_restful import Resource, request
from flask import jsonify
from accessors.s3_accessor import S3Accessor
from resource_helpers.abort_logger import AbortLogger
MESSAGE_500 = Template("File failed to download: $error")
class VariantListReturn(Resource):... | null | resources/variant_list_return.py | variant_list_return.py | py | 1,343 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "string.Template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask_restful.Resource",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_restfu... |
631254577 | """
Irenaeus Chan
11/27/2015
Ramachandran Plot Generator
"""
import sys
from itertools import tee, islice, chain, izip
import vector
def previousAndNext(some_iterable):
#http://stackoverflow.com/questions/1011938/python-previous-and-next-values-inside-a-loop
prevs, items, nexts = tee(some_iterable, 3)
prevs = chai... | null | Library/phipsi.py | phipsi.py | py | 3,531 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.tee",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "itertools.islice",
... |
179775440 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 6 13:38:57 2020
@author: nkraj
"""
import numpy as np
import pandas as pd
import datetime
import matplotlib.pyplot as plt
# model libraries
from statsmodels.tsa.arima_model import ARIMA
from statsmodels.tsa.statespace.sarimax import SARIMAX
from pandas.plotting import a... | null | model_building.py | model_building.py | py | 2,976 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "data_preprocessing.sales.groupby",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "data_preprocessing.sales",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "statsmodels.api.tsa.seasonal_decompose",
"line_number": 28,
"usage_type": "call... |
156017325 | from scatter_net_convolution_train import forwardprop
from scatter_net_convolution_train import init_weights
from scatter_net_convolution_train import init_bias
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split
import os
import time
import argpa... | null | scatter_net_convolution_match.py | scatter_net_convolution_match.py | py | 4,419 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.transpose",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
... |
364370968 | import pandas as pd
import tushare as ts
import time,datetime
from easyutils import timeutils
from hq.HqUtils import *
from easytrader import log
sleepInterval = 1
peLow=0 #市盈率下限
peHigh=30 #市盈率上限
jiejinCount=30 #解禁数量
jiejinRatio=3 #解禁比例
yuyingLow=0.1 #预赢每股收入
engine = get_engine()
#更新当日最新数据
def get_day_hq():
trad... | null | hq/GetDayHQ.py | GetDayHQ.py | py | 3,055 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "easyutils.timeutils.get_last_trade_day",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "easyutils.timeutils",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "easytrader.log.info",
"line_number": 20,
"usage_type": "call"
},
{
"ap... |
374554750 | from tools import models
"""
Use this script like this
python manage.py shell < script.py
"""
def delete_object(object_list):
for item in object_list:
item.delete()
# Reference
Reference = models.Reference
delete_object(Reference.objects.all())
url_list = ["https://www.eia.gov/energyexplained/units-and-... | null | exsys/script_db.py | script_db.py | py | 15,394 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tools.models.Reference",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tools.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tools.models.PhysicalState",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name... |
185095412 | import sys
import unittest
import numpy as np
import torch
from metal.label_model.label_model import LabelModel
from metal.label_model.baselines import (
RandomVoter,
MajorityClassVoter,
MajorityLabelVoter,
)
sys.path.append("../synthetics")
from synthetics.generate import (
SingleTaskTreeDepsGenerat... | null | tests/metal/label_model/test_label_model.py | test_label_model.py | py | 4,002 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "metal.label_mode... |
476898207 | from pymongo import MongoClient
import json
client = MongoClient('proximus.modulusmongo.net:27017')
client.tepO9seb.authenticate('nasahack', 'hacking4nasa')
db = client.tepO9seb
if __name__ == '__main__':
data = json.load(open('data/defense_ngram_np.json'))
db.datasets.insert(data) | null | mongoWork/insert_defense_ngram_kwds.py | insert_defense_ngram_kwds.py | py | 293 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
}
] |
535483665 | #!/usr/bin/env python3
"""
bayesian test for periodicity in equally spaced spatial/time data (ti,yi) etc
following Jaynes, 'Probability Theory: The Logic of Science' section 17.6
#======================================
MODEL: y(t) = A.cos wt + B.sin wt + mu + Gaussian_noise
n data points
PRIORS: Jeffrey's priors... | null | src/PeriodicSeries.py | PeriodicSeries.py | py | 5,801 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.cos",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 49,
... |
4509549 | # -*- coding: utf-8 -*-
"""
Signals and receivers for Course Access Groups.
"""
import logging
from .models import Membership
log = logging.getLogger(__name__)
def on_learner_account_activated(sender, user, **kwargs):
"""
Receive the `USER_ACCOUNT_ACTIVATED` signal to apply MembershipRule.
:param send... | null | course_access_groups/signals.py | signals.py | py | 698 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Membership.create_from_rules",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.Membership",
"line_number": 22,
"usage_type": "name"
}
] |
65990093 | '''
Serves through a (super) simplified version of http protocol.
Warning: Running this may expose your computer to attacks.
Don't run this.
'''
from threading import Thread
from queue import Queue, Empty
from socket import socket as Socket, timeout, gethostname, gethostbyname
import logging
from mythread import Saf... | null | myhttp.py | myhttp.py | py | 8,182 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.root.setLevel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.root",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "logging.N... |
31727530 | #glob模块提供了一个函数用于从目录通配符搜索中生成文件列表:
import glob
print(glob.glob('*.py'))
#['primes.py', 'random.py', 'quote.py']
# 命令行参数
# 通用工具脚本经常调用命令行参数。这些命令行参数以链表形式存储于 sys 模块的 argv 变量。例如在命令行中执行 "python demo.py one two three" 后可以得到以下输出结果:
import sys
print(sys.argv)
['demo.py', 'one', 'two', 'three']
# 错误输出重定向和程序终止
# sys 还有 stdin，... | null | note-taking/stdlib.py | stdlib.py | py | 2,221 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "glob.glob",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number... |
21500883 | # See LICENSE file for full copyright and licensing details
from odoo import models, fields, api
from datetime import datetime
from odoo.exceptions import ValidationError
from odoo.tools import DEFAULT_SERVER_DATE_FORMAT
class CommissionReport(models.TransientModel):
_name = 'commission.report'
start_date =... | null | property_commission_ee/wizard/commission_report.py | commission_report.py | py | 1,584 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Date",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "odoo.field... |
19470117 | import xlrd
import xlwt
# from xlutils.copy import copy #暂时用不上
import os
l_p = [] # 定义两个全局list，分别存储原始和目的需要对比的数据
l_t = []
def read_excel():
wb_pri = xlrd.open_workbook('test_modify.xlsx') # 打开原始文件
wb_tar = xlrd.open_workbook('test_origin.xlsx') # 打开目标文件
wb_result = xlwt.Workbook() # 新建一个文件，用来保存结果
... | null | excel-in-python/test_compare.py | test_compare.py | py | 1,968 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xlwt.Workbook",
"line_number": 13,
"usage_type": "call"
}
] |
577276761 | #!/usr/bin/env python3
"""The setup script."""
from setuptools import setup, find_packages
import versioneer
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
name = 'pycookiecutter'
packages = find_packages()
url = ... | null | setup.py | setup.py | py | 1,594 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "versioneer.get_version",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "versioneer.get_cmdclass",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
125765735 | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.chrome.options import Options
import time
from fbchat import Client, log
from fbchat.models import *
options = webdriver.ChromeOptions()
#options.add_argument('headless')
#driver = webdriver.Chrome(... | null | msgReader.py | msgReader.py | py | 1,091 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "fbchat.Client",
"line_number": 14,
"usage_type": "name"
}
] |
265063260 | from keras.models import Sequential
from keras.layers import Concatenate,Input, Dense, concatenate
from keras.models import Model
from keras.optimizers import Adam, RMSprop
from keras.models import model_from_json
from keras.layers import Dropout
from keras.layers import Flatten
from keras.constraints import max... | null | switching_dqn/dqn_adv.py | dqn_adv.py | py | 20,250 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.random.seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "... |
218689858 | # Miro Community - Easiest way to make a video website
#
# Copyright (C) 2011, 2012 Participatory Culture Foundation
#
# Miro Community is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 ... | null | mirocommunity_saas/management/commands/nightly_tiers_events.py | nightly_tiers_events.py | py | 3,905 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "mirocommunity_saas.models.TierInfo.objects.get_current",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "mirocommunity_saas.models.TierInfo",
"line_num... |
173122570 | '''
Created on 28 Oct 2020
@author: 612563313
'''
import pytest
import time
from selenium.webdriver.common.by import By
from AppTests.test_InitWebdriver import BaseTest
from Config.config import SetupConfiguration as scd
from AppPages.aFPLaunch import LaunchFP
from AppTestData.LoginPage_TestData impor... | null | com.myportaltest.rivusfleet/AppTests/test_LaunchFP.py | test_LaunchFP.py | py | 1,626 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "AppTests.test_InitWebdriver.BaseTest",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "AppPages.aFPLaunch.LaunchFP",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "Config.config.SetupConfiguration.UsrName",
"line_number": 22,
"usage_typ... |
216602983 | import date_format as df
from rich.console import Console
from rich import print
from rich.table import Table, Column
from pprint import pprint
import json
# global variable calender_id
calendar_id = 'wethinkmock@gmail.com'
def get_slot_attendee_names(event):
"""[Takes in an event and returns whos the ... | null | functions/get_events.py | get_events.py | py | 9,464 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rich.console.Console",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "rich.table.Table",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "rich.print",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "date_format.get_curr... |
291496527 | #!/usr/bin/env python3
import os
import sympy
import mpmath as sm
import scipy.signal
import matplotlib.pyplot as plt
# precision
sm.mp.prec = 512
def daubechies(N):
# p vanishing moments.
p = int(N/2)
# make polynomial; see Mallat, 7.96
Py = [sm.binomial(p-1+k, k) for k in reversed(range(p))]
# ... | null | test.py | test.py | py | 3,708 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mpmath.mp",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "mpmath.binomial",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "mpmath.mp.polyroots",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mpmath.mp",
"li... |
491261114 | # Copyright (C) 2012 Alex Nitz
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the h... | null | pycbc/events/threshold_opencl.py | threshold_opencl.py | py | 2,286 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyopencl.elementwise.ElementwiseKernel",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pycbc.scheme.mgr.state",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "pycbc.scheme.mgr",
"line_number": 46,
"usage_type": "name"
},
{
... |
479122583 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 23 23:27:29 2018
@author: vivekmishra
"""
import os
os.chdir('/Users/vivekmishra/Desktop/USC/599-DSS/StanceDataset')
import requests
import pandas as pd
import re
import string
import unicodedata
import seaborn as sns
import matplotlib as plt
#im... | null | StanceDataset/stance.py | stance.py | py | 9,256 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.chdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.toktok.ToktokTokenizer",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "nltk.down... |
444608156 | #!/home/yli11/.conda/envs/py2/bin/python
import sys
import os
p_dir = os.path.dirname(os.path.realpath(__file__)) + "/"
sys.path.append(os.path.abspath(p_dir+"../utils/"))
# from liyc_utils import *
import pandas as pd
import argparse
import getpass
import datetime
import matplotlib
import pandas as pd
matplotlib.use('... | null | bin/pie_plot.py | pie_plot.py | py | 4,975 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"lin... |
94208053 | import maya.cmds as cmds
import os as os
import os
import os.path
import shutil
### reference and rig related Function ------
def findRigByName(sel):
'''
still in WIP
try finding the rig by it's name
'''
out = []
for o in sel:
if '_Rig_Grp' in o:
out.append(o)
out =... | null | Maya/ProjectRelated/Vejfesten/Pipeline/shotAbcExporter/old/shotAbcExporter_v0.2.py | shotAbcExporter_v0.2.py | py | 10,443 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "maya.cmds.referenceQuery",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "maya.cmds.ls",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "maya.cmds",
"line... |
73947750 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 13 14:01:42 2019
@author: sebas
"""
# Imports
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import statistics
from sklearn.decomposition import PCA
from sklearn.model_selection import train_test_split, GridSe... | null | code/CMV_classifier.py | CMV_classifier.py | py | 17,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
61399322 | from cms.apps.admin.permission import site_permission_required, super_user_permission
from flask import request, render_template, redirect, url_for, jsonify, \
make_response
from babel.messages.catalog import Catalog
from babel.messages.pofile import write_po
from StringIO import StringIO
import datetime
from cms.... | null | cms/apps/admin/views/sites.py | sites.py | py | 3,247 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cms.models.site.Site",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cms.models.site",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cms.a... |
51905365 | from django.urls import reverse
from django.conf import settings
def context(request):
""" This function adds some app-specific values to the django template context """
claims = request.identity_context_data._id_token_claims
exclude_claims = ['iat', 'exp', 'nbf', 'uti', 'aio', 'rh']
claims_to_display ... | null | 1-Authentication/sign-in-b2c/Sample/context_processors.py | context_processors.py | py | 827 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.settings.AAD_CONFIG",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
463164967 | from neo4j import GraphDatabase, basic_auth
def neoArticlesSentencesFetch(chosenLang):
driver = GraphDatabase.driver("bolt://semantiqa.com:7687", auth=("neo4j", "cazzhack"))
def get_sentences(article, language):
with driver.session() as session:
results = session.run(
... | null | views_utils/neoArticlesSentencesFetch.py | neoArticlesSentencesFetch.py | py | 1,271 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "random.shuffle",
"line_number": 31,
"usage_type": "call"
}
] |
455581979 | import os
import os.path as osp
import json
import torch
import pandas
import numpy as npD
from dateutil.parser import parse, parserinfo
from torch_sparse import coalesce
from torch_geometric.data import (Data, InMemoryDataset, download_url,
extract_gz, extract_tar)
from torch_geometri... | null | torch_geometric/datasets/snap_dataset.py | snap_dataset.py | py | 22,939 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.unique",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch_geometric.utils.t... |
348365806 | from typing import Tuple
import pygame
import sys
import os
import math
from inventory import Inventory
"""
HactuallyBenji
https://opensource.com/article/17/12/game-python-moving-player
"""
class Player(pygame.sprite.Sprite):
def __init__(self, bounds):
pygame.sprite.Sprite.__init__(self)
... | null | player.py | player.py | py | 3,053 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.sprite",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "p... |
11841345 | __author__ = "Manouchehr Rasouli"
__date__ = "5/Aug/2017, 8/Aug/2017"
import requests
import json
import threading
import time
import datetime
from config_pack import configuration_manager
from interupt_service_connector import inter_upt_logger
from exception_log_service_connection import exception_logger
class Inte... | null | inter_upt_service/inter_upt_service.py | inter_upt_service.py | py | 1,506 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "interupt_service_connector.inter_upt_logger.InterUptLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "interupt_service_connector.inter_upt_logger",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "threading.Thread",
"line_number": 18,
... |
210350037 | import logging
import re
import sys
import urllib.parse
from concurrent.futures import ThreadPoolExecutor
import requests
from bs4 import BeautifulSoup
def fetch_afisha_page(url="https://www.afisha.ru/msk/schedule_cinema/"):
response = requests.get(url)
html = response.text
return html
def parse_afisha... | null | cinemas.py | cinemas.py | py | 3,583 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number... |
106158690 | from django import forms
PRODUCT_QUANTITY_CHOICES = [(i, str(i)) for i in range(1, 15)]
class CartAddProductForm(forms.Form):
quantity = forms.TypedChoiceField(
choices=PRODUCT_QUANTITY_CHOICES,
coerce=int,
label='Кол-во',
widget=forms.NumberInput(
attrs={
... | null | shop/cart/forms.py | forms.py | py | 591 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.Form",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.forms.TypedChoiceField",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django... |
548477051 | from typing import Dict, List, Tuple, NewType
with open("data") as f:
data = f.readlines()
IntervalDict = NewType("IntervalDict", Dict[int, List[Tuple[int,int]]])
def sortSeries(data:List[str]) -> Tuple[List[int], List[str]]:
parsed1 = [d[1:].split("]")[0].split(" ") for d in data]
... | null | four/b.py | b.py | py | 2,291 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.NewType",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number":... |
30471702 | import openpyxl
from openpyxl.styles import Border, Side, Font
from time import sleep
import time
class ParseExcel(object):
def __init__(self):
self.workbook = None
self.excelFile = None
self.font = Font(color = None) #设置字体的颜色
# 颜色对应的RGB值
self.RGBDict = {'red': 'FFFF3030', '... | null | common/ParseExcel.py | ParseExcel.py | py | 7,388 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "openpyxl.styles.Font",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "openpyxl.styles.Font",
"line_number": 122,
"usage_type": "call"
},
{
"api_name": "ope... |
15503330 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 21 14:50:35 2017
@author: student
"""
import argparse
import redis
import sys
import os
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Export data related to IP and MAC addresses into a matrix which will be used as da... | null | bin/create-circos-matrix.py | create-circos-matrix.py | py | 2,529 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
223357160 | import datetime
import h5py
import pytest
from mongomock import MongoClient
from splash_ingest.server.api_auth_service import create_api_client, init_api_service as init_api_key
from splash_ingest.server.model import IngestType
from splash_ingest.model import Mapping
from ..ingest_service import (
bluesky_context,
... | null | splash_ingest/server/tests/test_workflow.py | test_workflow.py | py | 5,803 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "mongomock.MongoClient",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "mongomock.MongoClient",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "ingest_service.init_ingest_service",
"line_number": 27,
"usage_type": "call"
},
{
"ap... |
295050664 | import asyncio
from discord.ext.commands import Bot
cachedName = {}
async def get_name_by_discord_id(bot: Bot, id: int):
if (id not in cachedName):
user = await bot.fetch_user(id)
cachedName[id] = user.name
return cachedName[id]
async def add_pagination_arrow_reaction(res):
await a... | null | app/discord/module/helper.py | helper.py | py | 412 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "asyncio.gather",
"line_number": 16,
"usage_type": "call"
}
] |
551295644 | #Python program to download Grok source code into local file.
#this should be used by PTC employee only!
#Please don't use this tool to violate any company policy!
from argparse import ArgumentParser
from bs4 import BeautifulSoup
import urllib2
try:
from urllib.request import urlopen
from urllib.error import HT... | null | zillowscrapy.py | zillowscrapy.py | py | 7,281 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "urllib.request.error",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "url... |
628086066 | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | null | src/azure-cli/azure/cli/command_modules/storage/operations/fs_directory.py | fs_directory.py | py | 3,253 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "azure.core.exceptions.HttpResponseError",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "azure.cli.core.profiles.ResourceType.DATA_STORAGE_FILEDATALAKE",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "azure.cli.core.profiles.ResourceType"... |
345194848 | #!/usr/bin/env python3
# Kebechet
# Copyright(C) 2018, 2019 Kevin Postlethwait
#
# This program is free software: you can redistribute it and / or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any late... | null | kebechet/managers/thoth_advise/thoth_advise.py | thoth_advise.py | py | 6,499 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "kebechet.managers.manager.ManagerBase",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_... |
642655417 | # Nurse shift replication by Cassio Amorim, CJS Inc.
# Licensed under Apache 2.0 License.
# Original paper by Ikeda, Nakamura, Humble. DOI: 10.1038/s41598-019-49172-3
# Original licensed under Creative Commons
## Target Hamiltonian:
## 目的ハミルトニアン：
## H(q) = \sum_n,n' \sum_d, d' J_i(n, d)j(n',d')q_iq_j
## ... | null | Nurse Shift.py | Nurse Shift.py | py | 5,105 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "dwave.system.samplers.DWaveSampler",
"line_number": 94,
"usage_type": "call"
},
{
"api_name... |
472541643 | import enum
from ctssimu.data import Machine, AbstractState, states, AllOtherStates
from ctssimu.cts import Process, ProcessState
from ctssimu.io import CtEvetAnnoodeOff, CtEvetPowerOffCooling, CtEvetPowerOffFinished, CtEvetPowerOffStart
class PowerOffOperatorState(AbstractState, enum.Enum):
IDLE = 0
RUNNING ... | null | ctssimu/ctssimu/cts/power/off.py | off.py | py | 2,621 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ctssimu.data.AbstractState",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "ctssimu.data.Machine",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "ctssimu.... |
367550628 | from sklearn import preprocessing
import pandas as pd
import matplotlib.pyplot as plt
def iris_type(s):
s = str(s,'utf-8')
# print(type(s))
it = {'Iris-setosa': 0, 'Iris-versicolor': 1, 'Iris-virginica': 2}
return it[s]
if __name__ == "__main__":
path = u'8.iris.data' # 数据文件路径
df = pd.read_csv... | null | sklearn_loc/Iris/iris-plot.py | iris-plot.py | py | 994 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 16,
"usage_type": "name"
},
{
"api_name... |
57437260 | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
from contextlib impo... | null | src/python/pants/java/jar/manifest.py | manifest.py | py | 1,537 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "contextlib.closing",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "six.StringIO",
"line_number": 23,
"usage_type": "call"
}
] |
438629179 | import PyPDF2
from sys import argv
def extract(old_path, new_path):
old_pdf = PyPDF2.PdfFileReader(open(old_path, 'rb'))
new_pdf = PyPDF2.PdfFileWriter()
get = lambda x : old_pdf.getPage(x).extractText()
old_sz = old_pdf.getNumPages()
for i in range(old_sz):
if i == old_sz-1 ... | null | fix-pdf/main.py | main.py | py | 625 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileWriter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"... |
240285070 | import logging
import tasks.tasks as conc
import Jython_tasks.task as jython_tasks
from couchbase_helper.documentgenerator import doc_generator
from membase.api.rest_client import RestConnection
from sdk_client3 import SDKClient as VBucketAwareMemcached
from BucketLib.BucketOperations import BucketHelper
"""An API f... | null | lib/couchbase_helper/cluster.py | cluster.py | py | 37,834 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tasks.tasks.BucketCreateTask",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "tasks.tasks",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "tasks.task... |
353756888 | import discord, asyncio, random, os
client = discord.Client()
async def action(message):
reactList = ["IL EST MALADE", "Mais qu'est ce qu'il est en train de faire", \
"Mais je pensais vraiment pas qu'il allait faire ça"]
introList = ["Alerte, si vous voyez des chips vertes dans votre pa... | null | forlanBot.py | forlanBot.py | py | 3,286 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.Client",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "discord.Game",
"line_nu... |
330565394 | #!/usr/bin/python
#-*- coding: utf-8 -*-
import numpy as np
import glob
import cv2
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
def get_images(list_images):
# We read the images
array_imgs = []
for name in list_images:
img = cv2.imread(name)
img = cv2.cvtColor(im... | null | Follow Line/analysis_vectors.py | analysis_vectors.py | py | 3,768 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"li... |
344020708 | from pygame import Surface, SRCALPHA
from pygame import Rect
from pygame.image import load as load_img
from pygame.transform import flip
import pygame
from .. import Colors
from .. import screen_size, gravity
from .position import Position
walking_sprites = (
20, 114,
48, 64,
)
class Hero(object):
size = ... | null | Witcher 2D/Witcher 2D_r/game/objects/hero.py | hero.py | py | 4,166 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "position.Position",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "position.Position",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.SRCALPHA",
... |
201387667 | # coding: utf-8
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
data = pd.read_csv('Li2CO3.dos1ev', delim_whitespace=True, skiprows=3, names = ['E','tot','Li','C','O1','O2'])
data.describe()
data['O1'] = data['O1']+data['O2']
for i in np.arange(4):
plt.plot(data['E'],data[data.keys()[i+1]])... | null | Images/DOS_plots/LCO_plot.py | LCO_plot.py | py | 469 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot"... |
299133036 | # coding: utf-8
from datetime import datetime
from random import choice
from django.core.management.base import BaseCommand
from django.contrib.auth.models import User
from core.models import Post, Photo
import logging
AUTHORS = ['LAhmatyi', 'tinki', 'skyslayer', 'akafist', 'prophoter']
log = logging.getLogger(__n... | null | src/core/management/commands/publish_deferred.py | publish_deferred.py | py | 1,183 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "core.models.Post.all.filter",
"line_number": 20,
"usage_type": "call"
},
{
... |
577424660 | #!/usr/bin/env python3
import argparse
import requests
import sys
from .cli import CLI
from .library import ShibbolethError
def run():
"""Authenticate via U-M Shibboleth from the command line."""
# Argument parsing
parser = argparse.ArgumentParser(
description="Authenticate to U-M Shibboleth from... | null | src/__main__.py | __main__.py | py | 1,347 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cli.CLI",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "requests.Request",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cli.perform",
"l... |
101955264 | #-*- coding: utf-8 -*-
import numpy as np
import itertools
from fix_axis import fix_axis
from tomo_seq import tomo_seq_all_axis
from GP_data_processor import GP_data_processor
from numpy import random as nprd
from numpy import array as npar
from data_manager import data_manager
from scipy.misc import derivative
class ... | null | stge/simulated_data_manager.py | simulated_data_manager.py | py | 8,772 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.apply_along_axis",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "fix_axis.fix_axis.get_sl... |
353977539 | #!/usr/bin/env python3
#this program just alternates between various incline positions
import serial
import time
import binascii
import oly_lib
#===============main=====================
#open port
ser = serial.Serial(
port='/dev/ttyUSB0',
baudrate=38400,
parity=serial.PARITY_NONE,
stopbits=serial.S... | null | pbvr_Pi/RaspberryPi/Jaron/oly_utils-master/oly_automaton.py | oly_automaton.py | py | 1,205 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "serial.Serial",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "serial.PARITY_NONE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_TWO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "serial... |
393466733 | import numpy as np
from matplotlib import pyplot as plt
N = 330
I0 = 1
mu_0 = 4*np.pi*10**(-7)
R = 0.07
a_liste = [2*R, R, R/2]
def B_felt_antihelmholtz(x,a):
prefaktor = N*mu_0*I0/(2*R)
return 10000*prefaktor*((1 +(x-a/2)**2/R**2)**(-1.5) - (1 +(x+a/2)**2/R**2)**(-1.5))
def brgn_avvik(B, B_brgn):
retur... | null | Lab/ElMag_FY1003/antihelmoltz.py | antihelmoltz.py | py | 4,058 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"li... |
513440772 | from lama.img_processing import normalise
from logzero import logger as logging
from lama import common
import os
import nrrd
from pathlib import Path
from scipy import ndimage
import numpy as np
import SimpleITK as sitk
import pandas as pd
from lama.stats.permutation_stats import bin_heatmap
from lama.u... | null | lama/stats/permutation_stats/bin_and_norm.py | bin_and_norm.py | py | 2,256 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nrrd.read",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nrrd.read",
"line_number": 27... |
478238134 | import torch
import time
import math
from visdom import Visdom
# from util import epoch_time
from nltk.translate.bleu_score import SmoothingFunction
from nltk.translate.meteor_score import meteor_score
from rouge import Rouge
import nltk
import torch
import torch.nn as nn
from torch.utils.data import DataLoa... | null | M2TS_model/run.py | run.py | py | 5,062 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
69527100 | #from django.conf.urls import url
from django.urls import re_path as url
from .views import formset, advanced, index
urlpatterns = [
url(r'^formset/', formset, name='example-formset'),
url(r'^advanced/', advanced, name='example-advanced'),
url(r'^', index, name='example-index'),
]
| null | example/core/urls.py | urls.py | py | 296 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.re_path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.formset",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "django.urls.re_path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "views.advanced... |
431060408 | import requests
from allauth.socialaccount.providers.base import ProviderAccount
from allauth.socialaccount.providers.core.oauth2.provider import OAuth2Provider
class TwentyThreeAndMeAccount(ProviderAccount):
pass
class TwentyThreeAndMeProvider(OAuth2Provider):
id = 'twentythreeandme'
name = '23andMe'
... | null | allauth/socialaccount/providers/other/twentythreeandme/provider.py | provider.py | py | 1,141 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "allauth.socialaccount.providers.base.ProviderAccount",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "allauth.socialaccount.providers.core.oauth2.provider.OAuth2Provider",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_... |
443382926 | import numpy as np
import tensorflow as tf
import _pickle as pickle
from tqdm import tqdm
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
class Network(object):
def __init__(self, io_nn, latent_size, input_size, time_series_length, output_size,
encoder_num_units=[100, 100... | null | scinet_motor/model_new.py | model_new.py | py | 23,015 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.Graph",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"li... |
164395540 | from tkinter import *
from PIL import ImageTk,Image
from face_recognition import *
import os
window = Tk()
window.title("Graduate Thesis")
window.geometry('1000x600')
lbl = Label(window, text="Graduate Thesis",fg="Red", font=("arial",27,"bold"))
lbl.place(x=370,y=10)
lb2 = Label(window, text="Kh... | null | GUI_official.py | GUI_official.py | py | 2,308 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"li... |
259457475 | # Javier Mariño
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
dimt = 2000 # número de iteraciones temporales
deltat = 0.1; deltax = 0.5; alfa = 0.1; N = 20 # parámetros naturales de la discretización
s = alfa*deltat/deltax**2 # calculamos la estabilidad
T = np.zeros(N+1); T[5:9]=np.random.sample(4)*10... | null | bol8/bol8_ex1ayb_Mariño_Villadamigo_Javier.py | bol8_ex1ayb_Mariño_Villadamigo_Javier.py | py | 871 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.sample... |
363057054 | from django.urls import path
from . import views
urlpatterns = [
path('home/', views.home, name="home"),
path('', views.blog, name="blog"),
path('<int:blog_id>/', views.detail, name="detail"),
# <type:변수이름>, 이 변수이름은 argument로 views에 전달한다. path converterㅍ
path('create/', views.create, name='... | null | mysite/myapp/urls.py | urls.py | py | 425 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
330838265 | from flask import Flask
from flask.ext.sqlalchemy import SQLAlchemy
from flask.ext.login import LoginManager
from momentjs import momentjs
import bmemcached
# app object
app = Flask(__name__)
# config file
app.config.from_object('config')
# DB
db = SQLAlchemy(app)
# login
lm = LoginManager()
lm.init_app(app)
lm.login_... | null | app/__init__.py | __init__.py | py | 712 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.ext.sqlalchemy.SQLAlchemy",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.ext.login.LoginManager",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
161447871 | from collections import Counter
import sys
sys.setrecursionlimit(5000000)
S = list(input())
L = len(S)
A = Counter(S)
nCr = {}
def cmb(n, r):
if r == 0 or r == n: return 1
if r == 1: return n
if (n,r) in nCr: return nCr[(n,r)]
nCr[(n,r)] = cmb(n-1,r) + cmb(n-1,r-1)
return nCr[(n,r)]
if L == 1:
... | null | Python_codes/p03618/s011382759.py | s011382759.py | py | 453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
}
] |
421816810 | import numpy as np
import pygame as pg
from Code4Fun.Utility.Vec2 import Vec2
from numba import guvectorize, complex64, int32
from PIL import Image
# size = Vec2(1400, 1000)
# size = Vec2(1120, 400)
size = Vec2(1680, 600)
man_min = Vec2(-2.5, -1.25)
man_max = Vec2(1, 1.25)
jul_min = Vec2(-1.75, -1.25)
jul_max = Vec2... | null | Projects/Fractals/Mandelbrot/JuliaSetNumba.py | JuliaSetNumba.py | py | 8,570 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "Code4Fun.Utility.Vec2.Vec2",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Code4Fun.Utility.Vec2.Vec2",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Code4Fun.Utility.Vec2.Vec2",
"line_number": 12,
"usage_type": "call"
},
{
"... |
424252688 | import numpy as np
import scipy.io as sio
from os import listdir
from pick import pick
import sklearn
from sklearn.model_selection import train_test_split
from default_params import num_classes
from datetime import date
# for automated SVM experiments
base_path = "../data/animals/015/"
op_date = date(2017, 3, 20)
# ... | null | preprocessing_data.py | preprocessing_data.py | py | 9,849 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.date",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number... |
369235337 | import autograd.numpy as np
from autograd import grad
from tdm.base.base import BaseEstimator
from tdm.metrics.metrics import mean_squared_error
class BaseRegression(BaseEstimator):
def __init__(self, lr=0.01, penatly='None', C=0.01, tolerance=0.0001, max_iters=1000):
self.C = C
self.lr = lr
... | null | tdm/linear_model.py | linear_model.py | py | 2,182 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tdm.base.base.BaseEstimator",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "autograd.numpy.random.normal",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "autograd.numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
232067299 | ###############################################################################
# SKA South Africa (http://ska.ac.za/) #
# Author: cam@ska.ac.za #
# Copyright @ 2013 SKA SA. All rights reserved. #
... | null | katcp/test/test_resource_client.py | test_resource_client.py | py | 49,897 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tornado.testing",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "tornado.concurrent.Future",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torn... |
441745577 | #Same as previous exrecise, but employs scikit learn inbuilt RBF KPCA function
from scipy.spatial.distance import pdist, squareform
from scipy import exp
from scipy.linalg import eigh
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_moons
from sklearn.decomposition import KernelPCA
... | null | tutorials/sebraex2.py | sebraex2.py | py | 1,446 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.datasets.make_moons",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.KernelPCA",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
... |
331849879 | # encoding:utf-8
from __future__ import print_function
import sys
import os
import time
import libvirt
domxml = """<domain type='kvm'>
<name>example</name>
<memory>131072</memory>
<vcpu>1</vcpu>
<os>
<type arch='x86_64' machine='pc-0.13'>hvm</type>
</os>
<devices>
<disk type... | null | projects/openstack/libvirt/guide/blockjob_example.py | blockjob_example.py | py | 1,862 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.system",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "libvirt.open",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number"... |
424249046 | import math
from collections import Counter
import cv2
import numpy as np
frame_counter=0
kernel = np.ones((3,3), np.uint8)
def rect_to_bb(rect):
x = rect.left()
y = rect.top()
w = rect.right() - x
h = rect.bottom() - y
return x, y, w, h
def distance(point1, point2):
dist = math.sqrt((poi... | null | detecting_and_removing_green_color.py | detecting_and_removing_green_color.py | py | 2,884 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ones",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.inRange",
"line_number": ... |
285753376 | #!/usr/bin/python
from log2chart.argparser import ArgParser
from log2chart.loggingobject import LoggingObject
from log2chart.moduleobjectproxy import ModuleObjectProxy
from log2chart.renderer.registry import RendererParserRegistry, RendererRegistry
import argparse
import pkgutil
import os
class RendererObjectProxy(... | null | log2chart/renderer/factory.py | factory.py | py | 2,963 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "log2chart.moduleobjectproxy.ModuleObjectProxy",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "log2chart.renderer.registry.RendererParserRegistry",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "log2chart.renderer.registry.RendererRegistry... |
432779268 | # -*- coding: utf-8 -*-
"""
Project : CoCoA
Date : april-june 2020
Authors : Olivier Dadoun, Julien Browaeys, Tristan Beau
Copyright ©CoCoa-team-17
License: See joint LICENSE file
Module : cocoaplot
About :
An interface module to easily plot cocoa data with bokeh
"""
import random
import math
import pandas a... | null | cocoaplot/display.py | display.py | py | 14,144 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bokeh.palettes",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "bokeh.models.HoverTool",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "cocoa.covid19.Parser",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "cocoa... |
641837362 | import os
import json
from flask import Flask
import boto3
from werkzeug.utils import secure_filename
from flask import request
import tempfile
def create_app():
app = Flask(__name__)
services = json.loads(os.getenv("VCAP_SERVICES"))
host = services["predix-blobstore"][0]["credentials"]["host"]
if "h... | null | server/__init__.py | __init__.py | py | 1,614 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "boto3.session.Session",
"line_nu... |
100688706 | # memorandi.location.models
# Models for the location metadata
#
# Author: Benjamin Bengfort <benjamin@bengfort.com>
# Created: Tue Feb 11 14:41:06 2014 -0500
#
# Copyright (C) 2014 Bengfort.com
# For license information, see LICENSE.txt
#
# ID: models.py [] benjamin@bengfort.com $
"""
Models for the location metad... | null | memorandi/location/models.py | models.py | py | 6,769 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "model_utils.models.TimeStampedModel",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 45,
"usage_type": "name"
},
{
"a... |
396369260 | import numpy as np
import matplotlib.pyplot as plt
import sklearn
import sklearn.datasets
import sklearn.linear_model
from planar_utils import plot_decision_boundary, sigmoid, load_planar_dataset, load_extra_datasets
noisy_circles, noisy_moons, blobs, gaussian_quantiles, no_structure = load_extra_datasets()
datasets ... | null | extra_datasets.py | extra_datasets.py | py | 4,937 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "planar_utils.load_extra_datasets",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 26,
"usage_type": "name"
},
{
"api_n... |
205159755 | import json
import os
import ffmpy
CONFIG_PATH = os.path.join(os.path.dirname(__file__), 'config.json')
with open(CONFIG_PATH, 'r', encoding='utf-8') as f:
CONFIG = json.load(f)
def compression(source_file, input_file, quality, path_to_ffmpeg):
if not path_to_ffmpeg:
path_to_ffmpeg = CONFIG['ffmpeg'... | null | core.py | core.py | py | 992 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number":... |
562049240 | ## Initialization
import asyncio
import discord
import youtube_dl
from discord.ext import commands
from common import config, embedMessage, ytdlSrc, category
## Class setup
class play(commands.Cog):
def __init__(self, bot):
self.bot = bot
## Help stuff
self.hidden = False
self.cate... | null | cogs/Music/play.py | play.py | py | 7,261 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "common.category.getCategory",
"line_number": 15,
"usage_type": "call"
},
{
"api_... |
295854624 | from PIL.Image import open as im_open
from requests import get
from urllib.request import quote
from re import search, findall
from random import shuffle, choice
from tool import process_img
class Baidu(object):
""" 百度 """
def __init__(self, father):
self.father = father
self.name = 'Baidu'
... | null | pyqt/wallpaper switcher/api/Baidu.py | Baidu.py | py | 6,601 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.choice",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib.request.quote",
"... |
204301336 |
"""
rl environment
By : ya0000000
2021/08/31
"""
import numpy as np
import os
import math
import time
import inverseKinematics as IK
from IK_FindOptSol import FindOptSol
from robot_vrep import my_robot
import config
import cv2 as cv
from yolo import *
def creat_path(path):
if path_exsit(path=path):
print... | null | vrep/SAC_camera_version2/env_new2.py | env_new2.py | py | 15,741 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.makedirs",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": ... |
565126991 | #!/usr/bin/python3
from base import *
from tag import *
import yaml
import datetime
import re
class Solution():
"""."""
def __init__(self, file):
file = Path(file)
self.path = file
self.oj, self.id, self.name = file.with_suffix(
'').name.split(' ', maxsplit=2)
... | null | Python/myblog/lib/script/solution.py | solution.py | py | 2,970 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.utcfromtimestamp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 33,
"usage_type": "call"
}
] |
570591905 | #################################################################
######################## CODE FIGURE 4 BN ######################
#################################################################
# Run with passing number of hidden layers as argument
import numpy as np
import torch
import torch.nn as nn
import n... | null | code_fig_4_bn.py | code_fig_4_bn.py | py | 7,334 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_... |
150098585 | from backbones.resnet_fpn import ResNetFPN
from backbones.resnet import ResNet
from heads.cls_bbox import ClsBBoxHead_fc as ClsBBoxHead
from heads.mask import MaskHead
from tools.detect_utils import calc_iou, bbox_corner2center, bbox_center2corner
from proposal.rpn import RPN
from pooling.roi_align import RoiAlign
from... | null | maskrcnn.py | maskrcnn.py | py | 26,912 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.abspa... |
127277110 | import json
def total_score(j):
sum=0
parsed=json.loads(j)
for key, value in parsed.items():
sum+=value
data={}
data["total_score"]=sum
return json.dumps(data)
#return data ? why not?
print(total_score('{"john": 10, "steve": 31}'))
| null | S17week2/JSON.py | JSON.py | py | 273 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.loads",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 9,
"usage_type": "call"
}
] |
39253422 | from bs4 import BeautifulSoup
import urllib.request
import re
def crawl(start_page, distance, action):
visited = set()
queue = [[start_page, distance]]
def getLinks(url):
try:
html_page = urllib.request.urlopen(url)
except urllib.error.HTTPError as e:
return []
... | null | zima2019/RozszerzonyPython/Lista6/zadanie1.py | zadanie1.py | py | 1,550 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name":... |
509837062 | import os
import sys
import json
import pydoc
import datetime
import psycopg2
from tabulate import tabulate
from argparse import ArgumentParser
REPORT = """\n\n\n\n\n\n==================================ORDER==================================
order-id: {orderId}
billAmount: {billAmount}
status: {status}
timestamp: {ts}... | null | orderwise.py | orderwise.py | py | 3,446 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tabulate.tabulate",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "os.path.join... |
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