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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
456946864 | import numpy as np
import matplotlib.pyplot as plt
import scipy.fftpack
import obspy
from obspy.signal.util import next_pow_2
from make_one_folder import smooth
def whiten(data, nt, Nfft, delta, freqmin, freqmax, plot=False):
"""This function takes 1-dimensional *data* timeseries array,
goes to frequency doma... | null | example/whiten_test/whiten.py | whiten.py | py | 3,980 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "... |
372072367 | import pytest
import pandas as pd
from vivarium_public_health.risks.data_transformations import _rebin_exposure_data, _rebin_relative_risk_data
@pytest.mark.parametrize('rebin_categories, rebinned_values', [({'cat1', 'cat2'}, (0.7, 0.3)),
({'cat1'}, (0.5... | null | tests/risks/test_data_transformations.py | test_data_transformations.py | py | 2,504 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "vivarium_public_health.risks.data_transformations._rebin_exposure_data",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 7,
"usag... |
4088557 | """
opencadd.structure.pocket.subpocket
Defines subpockets.
"""
import logging
import numpy as np
import pandas as pd
from .utils import _format_residue_ids_and_labels
_logger = logging.getLogger(__name__)
class Subpocket:
"""
Class defining a subpocket.
Attributes
----------
name : str
... | null | opencadd/structure/pocket/subpocket.py | subpocket.py | py | 9,617 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "utils._format_residue_ids_and_labels",
"line_number": 94,
"usage_type": "call"
},
{
"api_name"... |
95997422 | import os,sys,inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0,parentdir)
from Linux_Helpers.shell import baseShell
from config.registers_DC import ftsw_register
class ftsw_conf:
ID = 00
class ftsw_conf_... | null | equipment/py_ftsw.py | py_ftsw.py | py | 5,312 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "inspect.getfile",
"line... |
556559043 | import requests
from utils.address import address
from utils.dict_query import DictQuery
data = {'user_id': 'test-user', 'question': 'Hello there', 'session_id': 'CLI-sessionId', 'projectId': 'CA2020',
'overrides': {'BOT_LIST': ['coherence_bot', 'news_bot_v2', 'wiki_bot_mongo'],
'PRIORITY... | null | poke_alana.py | poke_alana.py | py | 783 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
}
] |
381235240 | # Copyright 2017 Catalyst IT Limited
#
# 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... | null | runtimes/python2/server.py | server.py | py | 5,509 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "requests.get",
"... |
132817120 | from ResoFit.calibration import Calibration
from ResoFit.fitresonance import FitResonance
from ResoFit.experiment import Experiment
import matplotlib.pyplot as plt
import numpy as np
import pprint
from ResoFit._utilities import get_foil_density_gcm3
from ResoFit._utilities import Layer
import lmfit
# Global parameters... | null | ResoFit/data/IPTS_20784/ipts_20784_AgI.py | ipts_20784_AgI.py | py | 6,114 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ResoFit._utilities.Layer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "ResoFit.calibration.Calibration",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 89,
"usage_type": "call"
},
{
"a... |
188387801 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 26 13:50:43 2020
@author: amoth
"""
import lib.m_utils as mu
def largest_palindrome_n_digits(number):
largest_palindrome = 10**(number-1) + 1
product_one = 10**number - 1
minimum = 10**(number-1)
while product_one >... | null | euler_4.py | euler_4.py | py | 706 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lib.m_utils.is_palindrome",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lib.m_utils",
"line_number": 19,
"usage_type": "name"
}
] |
94129637 | import requests # Python 기본 모듈 - 웹 서버로 요청을 보내고 응답을 처리.
from bs4 import BeautifulSoup
# 접속할 사이트 주소, 요청(request)를 보낼 웹 서버 주소
url = 'https://search.daum.net/search?w=news&q=%EB%A8%B8%EC%8B%A0%20%EB%9F%AC%EB%8B%9D&DA=YZR&spacing=0'
# 웹 서버로 GET 방식의 요청(request)을 보냄
# GET 요청: 웹 서버로 보내는 정보(파라미터)가 URL 주소에 노출되는 방식
# P... | null | lab-python/py10_pandas/pandas18_bs4.py | pandas18_bs4.py | py | 1,187 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
}
] |
498919860 | # -*- coding: utf-8 -*-
####################################################
## ##
## Image Occlusion 2.0 Enhanced ##
## ##
## Copyright (c) Glutanimate 2016 ##
## (https://github.com/Gl... | null | image_occlusion_2/svgutils.py | svgutils.py | py | 6,072 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "etree.ElementTree.register_... |
82304714 | import io
import codecs
import re
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfpage import PDFPage
path_0=('sample2.pdf')
#입력파일 경로 설정
def convert_pdf(path): #pdf의 문자를 str로 받음
rsrcmgr = PDFRe... | null | searchpdf_duplicate.py | searchpdf_duplicate.py | py | 1,643 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pdfminer.pdfinterp.PDFResourceManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pdfminer.layout.LAParams",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
581025754 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import common.models.fields
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Chart',
fields=[
('... | null | vsp/migrations/0001_initial.py | 0001_initial.py | py | 1,815 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
601045686 | from typing import List
from pathlib import Path
import traceback
import json
from tqdm import tqdm
from hedgedog.logging import get_logger
from hedgedog.nlp.spacy.umls import UmlsCandidateGenerator
from hedgedog.tf.estimator.ingredients import dataset_ingredient
from el.data.text import Concept, Document, Span
log = ... | null | el/data/medmentions.py | medmentions.py | py | 3,890 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hedgedog.logging.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "el.data.text.Document",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "el.data... |
98959284 | # -*- coding: utf-8 -*-
from datetime import date
from urllib.parse import urlencode
from odoo import models, fields, api
from odoo.exceptions import UserError
class CashAdvance(models.Model):
_name = "cash.advance"
_description = "Cash advance Request Form"
_inherit = ["mail.thread", "mail.activity.mixin... | null | sunray_cash_advance/models/advance.py | advance.py | py | 15,732 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "odoo.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "odoo.api.model",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "odoo.api",
"... |
183858198 | # -*- coding: utf-8 -*-
"""
:math:`J_zA_zB_z` Colourspace
=============================
Defines the :math:`J_zA_zB_z` colourspace:
- :func:`colour.XYZ_to_JzAzBz`
- :func:`colour.JzAzBz_to_XYZ`
References
----------
- :cite:`Safdar2017` : Safdar, M., Cui, G., Kim, Y. J., & Luo, M. R. (2017).
Perceptually un... | null | colour/models/jzazbz.py | jzazbz.py | py | 8,581 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "colour.utilities.Structure",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "colour.models.rgb.transfer_functions.st_2084.CONSTANTS_ST2084",
"line_number": 42,
"usage_type": "argument"
},
{
"api_name": "numpy.array",
"line_number": 56,
"usage_type... |
578363317 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 13 19:36:28 2021
@author: gian
"""
from flask import Flask, json
from pymongo import MongoClient
from urllib.parse import urlencode
import settings
from os import environ
USER = environ["DB_USER"]
PASS = environ["DB_PASS"]
HOST = environ["DB_HOST"]... | null | Clase 13/app.py | app.py | py | 3,140 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.environ",
"line_number": 17,
... |
208454234 | """Credit serializer"""
# Django REST Framework
from rest_framework import serializers
# Models
from accounts.models import Credit
class CreditModelSerializer(serializers.ModelSerializer):
date = serializers.SerializerMethodField()
time = serializers.SerializerMethodField()
class Meta:
"""Meta... | null | backend/app/accounts/serializers/credits.py | credits.py | py | 1,284 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.SerializerMethodField",
"line_number": ... |
208375800 | from rest_framework import serializers
from farmers.models import Product
class ProductSerializer(serializers.ModelSerializer):
class Meta:
model = Product
fields = (
"id",
"name",
"price",
"quantity",
"featured",
"description... | null | T53/webapp/farmers/api/serializers.py | serializers.py | py | 405 | python | en | code | null | code-starcoder2 | 83 | [
{
"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": "farmers.models.Product",
"line_number": 7,
"usage_type": "name"
... |
424231827 | #coding:utf-8
"""
内置函数range的参数必须是整数。请编写一个生成器函数，以浮点数为参数（开始值，结束值，步长）生成某范围的序列
"""
import itertools
def frange(start,stop=None,step=1):
if stop is None:
stop = float(start)
start = 0.0
assert step
for i in itertools.count():
nxt = start + i * step
if (step > 0.0 and nxt >= stop... | null | 生成器生成浮点数range序列.py | 生成器生成浮点数range序列.py | py | 525 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.count",
"line_number": 13,
"usage_type": "call"
}
] |
2720733 | # Copyright (c) 2021 Graphcore Ltd. All rights reserved.
from pathlib import Path
import pytest
from examples_tests.test_util import SubProcessChecker
working_path = Path(__file__).parent.parent
class TestIPUEstimatorFP16(SubProcessChecker):
@pytest.mark.category2
@pytest.mark.ipus(1)
def test_run_com... | null | tutorials/tensorflow1/half_precision_training/tests/test_ipuestimator_fp16.py | test_ipuestimator_fp16.py | py | 858 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "examples_tests.test_util.SubProcessChecker",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pytest.mark",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name"... |
223703456 | import os
import requests
from bs4 import BeautifulSoup as bs
from django import setup
class MyException(Exception):
pass
# os.environ.setdefault("DJANGO_SETTINGS_MODULE", r"D:\DjangoProjects\Engine_Resume\Engine_Resume\settings.py")
# setup()
base_url = 'https://github.com/MarberyUA?tab=repositories'
def git... | null | Resume/parser.py | parser.py | py | 1,786 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.Session",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 21,
"usage_type": "call"
}
] |
153042619 | # 程序中的datatrain.txt和datatest.txt中，要去掉rensor，否则读取文件时会报错
import torch
from torch.autograd import Variable
from torchvision import transforms
from torch.utils.data import Dataset, DataLoader
import torch.nn.functional as F
import cv2 as cv
from capture import getdata
root = "./image"
LR = 0.001
class MyDataset(D... | null | test.py | test.py | py | 5,581 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "cv2.resize",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_LINEAR",
... |
11840027 | import scrapy, re
class NormSpider(scrapy.Spider):
name = 'MinisterialblattBayern'
start_urls = ['https://www.verkuendung-bayern.de/amtsblatt/ausgabe/allmbl-2019-1/']
def parse(self, response):
def is404():
res = "<h2>AllMBl." not in response.body_as_unicode()
... | null | scraper/spiders/AblBayern.py | AblBayern.py | py | 1,439 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.Spider",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "re.sub",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 3... |
517827230 | """
This is a modified version of the scrip "run_prediction_on_abide.py" from Dadi et al. 2019.
https://github.com/KamalakerDadi/benchmark_rsfMRI_prediction
Modifications are (mostly) labeled with #tspisak.
"""
"""Script which starts from timeseries extracted on ABIDE. Timeseries
can be downloaded from "https://os... | null | run_prediction_on_abide.py | run_prediction_on_abide.py | py | 10,985 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "numpy.loadtxt",
"line_nu... |
365652258 | import json
from klein import route, run
from scrapy import signals
from scrapy.crawler import CrawlerRunner
from spiders.ListSpider import ListSpider
from spiders.PositionSpider import PositionSpider
from spiders.ComparisonRatingSpider import ComparisonRatingSpider
class MyCrawlerRunner(CrawlerRunner):
def cra... | null | app.py | app.py | py | 1,554 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.crawler.CrawlerRunner",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "scrapy.signals.item_scraped",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "scrapy.signals",
"line_number": 16,
"usage_type": "name"
},
{
"api_... |
265993804 | import torch
from torch.utils.data import Dataset, DataLoader
import torch.nn as nn
import torch.optim as optim
from torchvision import transforms
import time
import matplotlib.pyplot as plt
import datetime
from small_functions import *
def calculate_accuracy(predicted_labels,target_labels):
equality = torch.eq(... | null | binaryclassifier.py | binaryclassifier.py | py | 11,047 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.eq",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 32,
... |
618941005 | from rest_framework import viewsets
from rest_framework import status
from rest_framework import mixins
from rest_framework_xml.renderers import XMLRenderer
from rest_framework.parsers import BaseParser, FileUploadParser
from defusedxml import ElementTree
from rest_framework.exceptions import ParseError
from rest_fr... | null | cdws_api/views.py | views.py | py | 35,499 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "rest_framework.mixins.RetrieveModelMixin",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.mixins",
"line_number": 86,
"usage_type": "name"
},
{
... |
78265339 | from cfn_sphere.exceptions import NoConfigException
from yaml.scanner import ScannerError
import yaml
import os
class Config(object):
def __init__(self, config_file=None, config_dict=None):
if config_dict:
self.dict = config_dict
self.working_dir = None
else:
s... | null | src/main/python/cfn_sphere/stack_configuration/__init__.py | __init__.py | py | 2,418 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cfn_sphere.exceptions.N... |
389878236 | #!/usr/bin/env python3
import collections
import copy
import hashlib
import html
import itertools
import math
import os
import pathlib
import pprint
import sys
from datetime import datetime, timedelta
import mpyq
from s2protocol import versions
from model import (
get_engine,
get_replays_row_by_sha256,
in... | null | python/populate_db.py | populate_db.py | py | 20,557 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 205,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 208,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 208,... |
439533560 | from sklearn.ensemble import RandomForestClassifier
from xgboost import XGBClassifier
from sklearn.svm import OneClassSVM
from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score, f1_score
from sklearn.decomposition import PCA
from sklearn.model_selection import GridSearchCV, train_te... | null | smart-optimizer/models.py | models.py | py | 6,359 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.precision_score",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
584222408 | # Parsing priority: command-line > config-file > defualt params
import argparse
import configparser
from collections import OrderedDict
# Default (arg, value) pairs for argparse object
dflt_args = {
'target_name': 'AUC',
'target_transform': False,
'train_sources': ['ccle'],
'test_sources': ['ccle'],
... | null | utils/argparser.py | argparser.py | py | 8,574 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 217,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 266,
"usage_type": "call"
}
] |
404812716 | #!/usr/bin/python3
# coding=utf-8
# Author: 王豪
# Function: 反馈神经网络
# 重新写成多个隐藏层的试一试
import math
import random
import copy
#random.seed(0)
def makeMatrix(I, J, fill=0.0):
"""
创建一个矩阵（可以考虑用NumPy来加速
:param I: 行数
:param J: 列数
:param fill: 填充元素的值
:return:
"""
m = []
for i in range(I):
... | null | Projects/毕业设计/handler/mine.py | mine.py | py | 15,336 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.uniform",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pdb.set_trace",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_numb... |
162223785 | from libraptorq import RQDecoder, RQError
import base64
def RaptorQDecode(symbols, data_len, oti_common, oti_scheme):
b64_decode = lambda s:\
base64.urlsafe_b64decode(bytes(s))\
if '-' in s or '_' in s else bytes(s).decode('base64')
with RQDecoder(oti_common, oti_scheme) as dec:
fo... | null | Core/Decoders.py | Decoders.py | py | 561 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base64.urlsafe_b64decode",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "libraptorq.RQDecoder",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "libraptorq.RQError",
"line_number": 14,
"usage_type": "name"
}
] |
404792781 | import tushare as ts
from boost_tushare._passwd import TUS_TOKEN
ts.set_token(TUS_TOKEN)
pro = ts.pro_api()
trade_date = '20191010'
start_date = '20200301'
end_date = '20200317'
df = pro.index_weight(index_code='399300.SZ', trade_date='20191031')
df = ts.pro_bar('000785.SZ', asset='E', start_date=start_date, end_d... | null | tests/test_tushare_api.py | test_tushare_api.py | py | 1,430 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tushare.set_token",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "boost_tushare._passwd.TUS_TOKEN",
"line_number": 5,
"usage_type": "argument"
},
{
"api_name": "tushare.pro_api",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tu... |
454855173 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$',views.index,name='index'),
url(r'^data$',views.data,name='data'),
url(r'^bin1$',views.bin1,name='bin1'),
url(r'^maps$',views.maps,name='maps'),
url(r'^bin2$',views.bin2,name='bin2'),
url(r'^bin3$',views.bin3,name='bi... | null | IOT_Project/IOT_app/urls.py | urls.py | py | 426 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
593916609 |
import numpy as np
import pandas as pd
import src.constants as c
from src.model import vggvox_model
from src.preprocess import build_buckets
from src.wav_reader import get_fft_spectrum
from pydub import AudioSegment
from scipy.spatial.distance import cdist
import os
model = vggvox_model()
model.load_weights(c.WEIGHT... | null | test.py | test.py | py | 1,842 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "src.model.vggvox_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.constants.WEIGHTS_FILE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.constants",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "... |
179961990 | from bank_consulter_skill.models.slots import DesiredCurrencySlot, OptionIntentsSlot, NeedListDocsAndTarifsSlot, \
ClientServiceRegionSlot, ClientIsResidentRFSlot, ClientPropertyTypeSlot, ClientAgreeWithServicePackConditionsSlot, \
ClientOkToSelfServiceSlot, ClientIsReadyToGiveDocsSlot, ClientWantsNearestOffice... | null | hello_bot/components/slots/slots_manager.py | slots_manager.py | py | 6,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bank_consulter_skill.models.slots.DesiredCurrencySlot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "bank_consulter_skill.models.slots.OptionIntentsSlot",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "bank_consulter_skill.models.slots.NeedL... |
239727270 | import socket
import threading
import struct
import cv2
import io
import numpy as np
import traceback as tb
from PIL import Image
from manager import manager
from convertor import Convertor
from multiprocessing import Process, Pool
from detector.detector import MultiPeopleDetector
import gc
from collections import dequ... | null | main.py | main.py | py | 3,708 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "manager.manager",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "socket.socket",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK_STREAM"... |
147134015 | #! /usr/bin/python
# Copyright 2019 Nokia
#
# 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 ... | null | validators/src/NetworkProfilesValidation.py | NetworkProfilesValidation.py | py | 39,055 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cmframework.apis.cmvalidator.CMValidator",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cmframework.apis.cmvalidator",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "cmdatahandlers.api.validation.ValidationError",
"line_number": 144... |
235701561 | # This runs the saved neural network and sends predictions to the arduino during test time
# Packages from remote server
import socket
import time
import sys
import csv
import cv2 as cv2
import numpy as np
import threading
# Packages from best net
import tensorflow as tf
from keras.models import model_from_yaml
from ... | null | MAIN/OTHERS/SMART_CAR.py | SMART_CAR.py | py | 4,730 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.models.model_from_yaml",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.get_default_graph",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 55,
"usage_type": "call"
},
{
"api_na... |
573192384 | import logging as log
import os
import lciafmt
import fedelemflowlist as fedefl
from lciafmt.util import outputpath, store_method
method = lciafmt.Method.FEDEFL_INV
def main():
os.makedirs(outputpath, exist_ok=True)
log.basicConfig(level=log.INFO)
file = method.get_filename()
log.info(fedefl.subset_l... | null | examples/fedefl_inventory_methods.py | fedefl_inventory_methods.py | py | 699 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lciafmt.Method",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lciafmt.util.outputpath",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "logging.ba... |
332016175 | from tkinter import *
import re
import sys
import lxml
import unittest
import requests
from bs4 import BeautifulSoup
#from beautifulsouptest import FollowThatTag
#from beautifulsouptest import SoupTest
#######################
# File: StackoverflowJobs.py
# Author: Prince D. Vonleh
# Date: Feburary 2018
class Disp... | null | project1_devSeminar/StackOverflow.py | StackOverflow.py | py | 3,632 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stdout",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line... |
404717695 | from torch import nn
import torch
from torchvision import models,transforms,datasets
import torch.nn.functional as F
from senet import se_resnet50,se_resnext101_32x4d,se_resnext50_32x4d, se_resnext26_32x4d
class multiscale_se_resnext_HR(nn.Module):
def __init__(self,num_class, pretrain = True):
super(multi... | null | 2019BaiduXJTU/basenet/multiscale_se_resnext_HR.py | multiscale_se_resnext_HR.py | py | 1,209 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "senet.se_resnext50_32x4d",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.load",
... |
587160486 | '''
Created on Nov 13, 2017
@author: moose-home
'''
import requests, json, urllib.parse, time, random, datetime, threading
# Constant
base_url = 'http://www.supremenewyork.com'
headers = {'user-agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 6_1_4 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/1... | null | supreme.py | supreme.py | py | 8,787 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.getrandbits",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
617184676 | import requests, os, bs4
url= 'http://xkcd.com'
os.makedirs('xkcd',exist_ok=True)
while not url.endswith('#'):
#donwloading the page
print('Downloading page %s...' %url)
res= requests.get(url)
res.raise_for_status()
soup =bs4.BeautifulSoup(res.text)
#find all the URL of the comic image
comicElem= soup.s... | null | donwloadxkcd.py | donwloadxkcd.py | py | 919 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.makedirs",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
106562604 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 30 20:00:51 2018
@author: gabriel
"""
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import os
os.curdir = ('synRT6/')
list_dir = os.listdir(os.curdir)
list_ = []
for f in list_dir:
raw_ = pd.read_table('synRT6/'+f, hea... | null | Chap1_Introduction/fast-dm/DDMfiles/QPP_Mean.py | QPP_Mean.py | py | 5,193 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.curdir",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.curdir",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_table",
"lin... |
257510194 | import requests
import socket
def url_healthcheck():
list_of_names = input('Enter path to file containing list of domain names: ')
namefile = open(list_of_names,"r")
print('\nChecking list of domain names, only errors will be shown below')
print('----------')
for name in namefile:
try:
... | null | General/url_healthcheck.py | url_healthcheck.py | py | 1,034 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "socket... |
577859353 | #!/usr/bin/env python2.7
import os, sys
import string
import ngb_functions
from pysam import VariantFile
from pysam import FastaFile
from optparse import OptionParser
from collections import defaultdict
from collections import namedtuple
from collections import OrderedDict
def run_process(opts, inputvcf):
outputv... | null | pipelines/utils/ngb_addTxInfoDbNSFP.py | ngb_addTxInfoDbNSFP.py | py | 3,431 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pysam.VariantFile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pysam.VariantFile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "optparse.OptionParser",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "sys.exit",
... |
312523929 | # coding=utf-8
import requests
import re
from bs4 import BeautifulSoup
import traceback
import types
import codecs
import json
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
def getHtmlText(url):
try:
r = requests.get(url,timeout = 30)
r.raise_for_status()
r.encoding = 'utf-8'
... | null | re_pro/get_stock_info.py | get_stock_info.py | py | 2,487 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.findall",
... |
279354759 | import numpy as np
import pandas as pd
from sklearn.naive_bayes import MultinomialNB
from sklearn.feature_extraction.text import CountVectorizer
import re
import urllib.request
import bs4 as bs
class Cuisine_Recommendation():
def get_cuisines_from_website(self):
source = urllib.request.urlopen('https://tas... | null | main.py | main.py | py | 4,281 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
211466922 | from django.shortcuts import render
from django.db.models import Sum, Count
from django.db import models
from django.http import JsonResponse
from django.db.models import F
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.contrib import auth
from django.views.decorators.http import r... | null | app/views.py | views.py | py | 7,435 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 46,
"usage_type": "call"
},
... |
552509489 | import geopandas as gpd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
import os
import folium
from folium.raster_layers import ImageOverlay
from folium.plugins import MarkerCluster
print(folium.__version__)
def get_aval_data(shp_file):
dt = os.path.split(shp_file)[1].split('.')[0].split... | null | aps/test/geopandas_test.py | geopandas_test.py | py | 8,836 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "folium.__version__",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "geopandas.read_fil... |
457507615 | import logging
import os
import serial
import signal
import sys
import time
import threading
import queue
from functools import partial
from services import DataStationHandler
from services import Heartbeat
from services import SerialHandler
def setup_logging():
"""Set up logging [Logging levels in order of seri... | null | avionics/__main__.py | __main__.py | py | 3,402 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
... |
130833708 | from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from .models import Refeicoe, Comida, CustomUser
import re
from .forms import CreateNewList
from collections import Counter, OrderedDict
# Create your views here.
def comidaView(request):
ls = Comida.objects
return ... | null | mysite/mysite/main/views.py | views.py | py | 6,128 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Comida.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.Comida",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mode... |
485010328 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
def plot_runs_by_balls():
y = ipl_df.groupby(['batsman'])['runs'].sum()
y1 = ipl_df.groupby(['batsman'])['delivery'].count()
plt.scatter(y1,y)
plt.xlabel('No. of balls pl... | null | q04_plot_runs_by_balls/build.py | build.py | py | 444 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
209958378 | import collections
import itertools
import random
from . import ast
def scope_ast(nodes, scopes=None, return_types=None):
if scopes is None:
# We start off with a global scope.
scopes = collections.ChainMap()
if return_types is None:
return_types = {}
scoped_nodes = []
retur... | null | weirdc/scoping.py | scoping.py | py | 3,707 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.ChainMap",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "itertools.count",
"line_number": 19,
"usage_type": "call"
}
] |
422383663 | from tkinter import Tk, Label, Button, DISABLED, SUNKEN, E, W
from PIL import ImageTk, Image
root = Tk()
root.title("Simple Image Viewer by princebillygk")
images = [
ImageTk.PhotoImage(Image.open('assets/img/pic_1.webp')),
ImageTk.PhotoImage(Image.open('assets/img/pic_2.webp')),
ImageTk.PhotoImage(Image... | null | main.py | main.py | py | 2,940 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tkinter.Tk",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line... |
134241311 | #-*- coding:utf-8 -*-
import wx
import wx.lib.agw.customtreectrl as CT
class MyFrame(wx.Frame):
def __init__(self, parent):
wx.Frame.__init__(self, parent, -1, "CustomTreeCtrl Demo")
# Create a CustomTreeCtrl instance
custom_tree = CT.CustomTreeCtrl(self, agwStyle=wx.TR_DEFAULT_STYLE)
... | null | tree.py | tree.py | py | 2,060 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "wx.Frame",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wx.lib.agw.customtreectrl.... |
151277322 | import argparse
import numpy as np
import torch
from torch.autograd import Variable
from model.ASM_G import Res_Deeplab
from dataset.cityscapes_dataset import cityscapesDataSet
from torch.utils import data
import os
from PIL import Image
import torch.nn as nn
IMG_MEAN = np.array((104.00698793,116.66876762,1... | null | ASM/ASM_evaluate.py | ASM_evaluate.py | py | 5,168 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.fromarray",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"l... |
331037800 | #############################################################################
#
# VFRAME
# MIT License
# Copyright (c) 2020 Adam Harvey and VFRAME
# https://vframe.io
#
#############################################################################
import click
from vframe.models import types
from vframe.utils impor... | null | vframe_cli/commands/pipe/save-croplets.py | save-croplets.py | py | 2,148 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "vframe.settings.app_cfg.LOG",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "vframe.settings.app_cfg",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "vframe.utils.file_utils.ensure_dir",
"line_number": 47,
"usage_type": "call"
}... |
20129239 | # encoding: utf-8
from __future__ import unicode_literals
from blog import views
from django.conf.urls import url
from django.contrib.auth.decorators import login_required
urlpatterns = [
url(r'^$', views.PostList.as_view(), name='posts'),
url(
r'^post/$',
login_required(views.CreatePost.as_v... | null | blog/urls.py | urls.py | py | 1,009 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "blog.views.PostList.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "blog.views.PostList",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_nam... |
640640097 | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
#Parametry
N = 100
D_u = 2*10**(-5)
D_v = 1*10**(-5)
F = 0.032
k = 0.056
dx = 0.02
dt = 1
en = 1
t_max = 32000
odcinek = np.linspace(0,2,N)
u = np.ones((N,N))
v = np.zeros((N,N))
for i in range(N/4, 3*N/4):
for j in range(N/4, 3*N/4):
u[... | null | reakcja2.py | reakcja2.py | py | 1,160 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"lin... |
362914680 | # -*- coding: utf-8 -*-
# Copyright (c) 2013 Red Hat, Inc.
#
# This software is licensed to you under the GNU General Public
# License as published by the Free Software Foundation; either version
# 2 of the License (GPLv2) or (at your option) any later version.
# There is NO WARRANTY for this software, express or impli... | null | pulp_rpm/test/unit/server/test_0010_migrate.py | test_0010_migrate.py | py | 5,133 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pulp_rpm.devel.rpm_support_base.PulpRPMTests",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pulp_rpm.devel.rpm_support_base",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pulp_rpm.devel.rpm_support_base.PulpRPMTests.setUp",
"line_... |
89308793 | #!/usr/bin/python
#
# Copyright 2017 University of Southern California
#
# 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 requir... | null | rbk/worker/delete_hatrac/client/rbk_delete_hatrac.py | rbk_delete_hatrac.py | py | 4,164 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "logging.INF... |
307631144 | """
PCA（Principal Component Analysis） 是一种常见的数据分析方式，常用于高维数据的降维，可用于提取数据的主要特征分量。
将n维特征映射到K维上，这K维是全新的正交特征也被称为主成分，是在原有n维特征的基础上重新构造出来的k维特征
目标：降维后同一纬度的方差最大，不同维度之间的相关性为0，协方差矩阵
"""
import matplotlib.pyplot as plt
import numpy as np
import torch
# Generate datasets
def generate_data():
"""Generate 3 Gaussians samples with ... | null | tensor/pca.py | pca.py | py | 2,053 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.r_",
"line_... |
410705175 | from torch.utils.data import DataLoader
import torch
from rusenttokenize import ru_sent_tokenize
from bpemb import BPEmb
from utils import read_config, if_none
from tqdm import tqdm
import pandas as pd
from nltk.tokenize.toktok import ToktokTokenizer
import re
class InputFeature(object):
"""A single set of featur... | null | modules/data/bpe_data.py | bpe_data.py | py | 8,120 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "torch.LongTensor",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "utils.read_config",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "bpemb.... |
129570917 | import torch
from torchvision.utils import make_grid
import matplotlib.pyplot as plt
import numpy as np
def show_test(fixed_Y, fixed_X, G_YtoX, G_XtoY, mean_=0.5, std_=0.5):
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
fake_X = G_YtoX(fixed_Y.to(device))
fake_Y = G_XtoY... | null | show_test_file.py | show_test_file.py | py | 1,420 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.device",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torchvision.utils.m... |
449566117 | from datetime import datetime
from FundNavSpiders import GGFundNavItem
from FundNavSpiders import GGFundNavSpider
from urllib.parse import urljoin
import re
import time
class BaoChiInvestSpider(GGFundNavSpider):
name = 'FundNav_BaoChiInvest'
sitename = '宝驰投资'
channel = '投顾净值'
allowed_domains = ['www.h... | null | FundNavSpiders/Cookie/BaoChiInvest.py | BaoChiInvest.py | py | 2,323 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "FundNavSpiders.GGFundNavSpider",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "urllib.parse.urljoin",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "re.find... |
281547399 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from django.conf import settings
admin.autodiscover()
urlpatterns = patterns('Encubarte.plataforma.views',
url(r'^admin/', include(admin.site.urls)),
#Links publicos:
url(r'^$', 'inicioControl', name='vistaPrincipal'),
... | null | Encubarte/urls.py | urls.py | py | 604 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api... |
311420461 | # Copyright (C) 2018-2019 Apple Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and ... | null | Tools/BuildSlaveSupport/ews-app/ews/models/buildermapping.py | buildermapping.py | py | 3,786 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.db.models.Model",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "django... |
350581341 | from django import forms
from .models import Question, Answer, User
class QuestionForm(forms.ModelForm):
tag_names = forms.CharField(label='Tags', help_text='Separate tags with a space', widget=forms.TextInput(attrs={'class': ''}))
class Meta:
model = Question
fields = [
'title... | null | core/forms.py | forms.py | py | 895 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.f... |
427007976 | import requests
from datetime import datetime
def fetchAlbumIds(artist_id):
"""Using the Spotify API, take an artist ID and
returns a list of album IDs in a list
"""
url = "https://api.spotify.com/v1/artists/" + artist_id + "/albums?album_type=album&market=US"
req = requests.get(url)
if req.ok... | null | Assignment5/fetchAlbums.py | fetchAlbums.py | py | 1,330 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
}
] |
54926610 | import numpy as np
from numpy import pi
from matplotlib import pyplot as plt
def make_VandermondeT(omega,time):
VandermondeT = np.exp(np.outer(time,omega))
return VandermondeT
def dmd(data,r,tbase):
tbase = tbase[:-1]
dt = 1e-6
X = data[:,0:-1]
Xprime = data[:,1:]
Udmd,Sdmd,Vdmd = np.linal... | null | dmd.py | dmd.py | py | 1,386 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.exp",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.outer",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.svd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number"... |
238034572 | from unittest.mock import patch, Mock
from rest_framework.exceptions import AuthenticationFailed
from ms_utils.test import TestCase, get_user
from ms_utils.permissions import UserTokenPermission
class UserTokenPermissionTest(TestCase):
def setUp(self):
super().setUp()
self.perm = UserTokenPermi... | null | test_app/test_app/app/tests/test_permissions.py | test_permissions.py | py | 1,721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ms_utils.test.TestCase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "ms_utils.permissions.UserTokenPermission",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "rest_framework.exceptions.AuthenticationFailed",
"line_number": 18,
"usage... |
411640615 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 12 21:00:43 2020
@author: vld-kh
"""
import os
import numpy as np
import cv2
import matplotlib.pyplot as plt
def LoadTrain(train_path, img_size):
train_ids = next(os.walk(train_path))[1]
X_train = np.zeros((len(train_ids), img_size, img_si... | null | code/data.py | data.py | py | 1,746 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.walk",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number":... |
228224750 | import glob
import io
import math
import numpy as np
import plotly as py
import plotly.graph_objs as go
import plotly.express as px
import random
import streamlit as st
from keras.applications.xception import preprocess_input
from keras.models import Model, load_model
from keras.preprocessing.image import img_to_array... | null | app.py | app.py | py | 4,379 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "SessionState.get_state",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "streamlit.image",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "streamlit.butt... |
511676289 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import pytest
from util import APITester
from kona.table.event import Event
from kona.table.operation import OperationKVS
from konaObject import db
def test_CodeWhat_get():
t = APITester()
j1 = t.ensure(200, 'Code.What.get()', dict(LANG='ko'), False)
j2 =... | null | tests/test_api.py | test_api.py | py | 6,774 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "util.APITester",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "util.APITester",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "kona.table.operation.OperationKVS",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "konaO... |
210973155 | # https://dmoj.ca/problem/nccc5j3s1
from sys import stdin
from statistics import median
import itertools
vInput = [x.strip() for x in stdin]
#vInput=['4 1','1 1 2 2']
n=int(vInput[0].split()[0])
x=int(vInput[0].split()[1])
vList = [ int(x) for x in vInput[1].split() ]
vCombination = list(itertools.combinations(vLis... | null | dmoj/cutecenter.py | cutecenter.py | py | 442 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.stdin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "itertools.combinations",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "statistics.median",
"line_number": 16,
"usage_type": "call"
}
] |
631299 | """
BSD 3-Clause License
Copyright (c) 2017, Jesus Llorente Santos, Aalto University, Finland
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copy... | null | orchestration/lxc/cesproto_environment/ctbase/rootfs/home/ubuntu/helpers_n_wrappers/iproute2_helper3.py | iproute2_helper3.py | py | 4,925 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyroute2.IPRoute",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pyroute2.IPSet",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "socket.AF_INET",
"... |
570684834 | # -*- coding: utf-8 -*-
"""
Update sku_pool.variant_record.
format: {
"variant_table": table_name, "channel": channel,
"shop": shop, "variant_id": variant_id, "batch": batch_id,
"psku_rule": psku_variant_rule,
}
"""
import logging
import json
from sqlalchemy import MetaData,... | null | Python/010/manger/otherScript/variant_record_updater.py | variant_record_updater.py | py | 4,905 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "conf.get_sqla_connec",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "conf.get_sqla_table",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "conf.get... |
596180016 | import re
import traceback
from time import sleep
from selenium import webdriver
URL = "http://kontumtv.vn/category/video-clip/thoi-su/page/{}"
SAVE_DIR = "data/kontumtv/thoisu.txt"
driver = webdriver.Firefox()
for i in range(60, 265):
print('page =', i)
driver.get(URL.format(str(i)))
video_eles = []
... | null | baodientu/kontumtv.py | kontumtv.py | py | 911 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "re.search",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "traceback.print... |
152680654 | import numpy as np
import json
sv1 = np.random.rand(18, 1)
sv2 = np.random.rand(18, 1)
tv = np.random.rand(18, 1)
sv0 = np.squeeze(sv1)
sv3 = np.squeeze(sv2)
tv0 = np.squeeze(tv)
vectors = [sv0, sv3, tv0]
for v in vectors:
count = 0
for x in v:
x = x*10
v[count] = x
count = count + ... | null | svma_lin.py | svma_lin.py | py | 1,431 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.rand",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
467697679 | """
Check the existing environment against expected values
"""
from __future__ import print_function
import re
import sys
import subprocess
try:
import yaml
from colorama import Fore, Style
except ImportError:
print("The PyYaml and colorama packages are required for this module. To " +
"install t... | null | check_packages.py | check_packages.py | py | 4,102 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "colorama.Style.RESET_ALL",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "colorama.Style",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.LIGHTYELLOW_EX",
"line_number": 22,
"usage_type": "attribute"
},
{
"ap... |
227576487 | import json
import os
import dialogflow_v2 as dialogflow
from flask import Flask,request,jsonify
import argparse
import uuid
os.environ['GOOGLE_APPLICATION_CREDENTIALS']='acquired-ripple-285306-8da5f9a63c48.json'
from google.protobuf.json_format import MessageToJson
# [START dialogflow_detect_intent_text]
def detect... | null | dlf_server/codes/testDialogflow.py | testDialogflow.py | py | 3,037 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dialogflow_v2.SessionsClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dialogflow_v2.types.TextInput",
"line_number": 27,
"usage_type": "call"
},
{
"api_nam... |
47018907 | """
Entrypoint for Streamlit server
"""
import base64
from datetime import datetime
import django
import numpy as np
import streamlit as st
import pandas as pd
import altair as alt
from django.utils import timezone
from django.conf import settings
from questions.models import Submission
START_DATE = timezone.make_a... | null | app/reports/referrals.py | referrals.py | py | 3,237 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.utils.timezone.make_aware",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
68236834 | import importlib
import pkgutil
import pystiche_papers as package_under_test
def test_importability(subtests):
def is_private(name):
return name.rsplit(".", 1)[-1].startswith("_")
def onerror(name):
if is_private(name):
return
with subtests.test(name=name):
r... | null | tests/unit/test_smoke.py | test_smoke.py | py | 804 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pkgutil.walk_packages",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pystiche_papers.__path__",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pystiche_papers.__name__",
"line_number": 20,
"usage_type": "attribute"
},
{
... |
562288022 | from setuptools import setup, find_packages
from KEGG_parser import __version__ as version
from pathlib import Path
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
__author__ = 'lozuponelab'
__version__ = version
setup(
name="KEGG-parser",
version=__ve... | null | setup.py | setup.py | py | 963 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "KEGG_parser.__version__",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "setuptools.setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "setuptools.find_p... |
528190798 | from app import db
from app.models import Prediction, Incident, PreCogRun
from flask_sqlalchemy import SQLAlchemy
import os
import datetime
import numpy as np
from sklearn.ensemble import RandomForestRegressor
from sklearn.datasets import make_regression
from sqlalchemy import and_
from sqlalchemy import *
from sqlalch... | null | precog/app/precogmonths.py | precogmonths.py | py | 9,810 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "os.envir... |
371843160 | __author__ = 'user'
# bits from http://stackoverflow.com/questions/15173225/how-to-calculate-cosine-similarity-given-2-sentence-strings-python
# load_docs, process_docs and compute_vector by MK
import math
import itertools
from collections import Counter
vector_dict = {}
#Just loads in all the documents
def... | null | Similarity/u-distance.py | u-distance.py | py | 3,467 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.Counter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"lin... |
138559532 | # -*- coding: utf-8 -*-
import ast
import copy
import time
import numpy as np
import bottle
from bottle import BaseRequest, error, get, post, response, request, route, \
run, static_file
from imageprocessor import ImageProcessor
from logger import Logger
from sessioncacher import SessionCacher
from spots import... | null | server/server.py | server.py | py | 8,172 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.simplefilter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image.DecompressionBombWarning",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line_number": 21,
"usage_type": "name"
},
{
"api_name"... |
428542588 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 5 15:07:30 2016
@author: felro
"""
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 21 23:48:16 2016
@author: Theo
"""
from lxml import etree
tree = etree.parse('http://xml.cdn.betclic.com/odds_en.xml')
class competition :
def __init__(se... | null | site_aide_pari/bets_with_betclic/data.py | data.py | py | 2,141 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "lxml.etree.parse",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 19,
"usage_type": "name"
}
] |
452706876 | import sys
import os
from datetime import datetime
import math, copy, time
import numpy as np
import random
import argparse
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Function
import _pickle as cPickle
import collections
import evaluate as e... | null | DeepWMaxSAT_ELMO.py | DeepWMaxSAT_ELMO.py | py | 73,559 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "torch... |
553599700 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('profiles', '0001_initial'),
]
op... | null | nutsy/repositories/migrations/0001_initial.py | 0001_initial.py | py | 2,328 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 11,
"usage_type": "call... |
589634001 | import numpy as np
#from pyminc.volumes.factory import *
import os
from sys import argv, exit
from os.path import exists
from os import makedirs
import argparse
#local modules defined in current project
from make_and_run_model import *
from set_images import *
from predict import *
from prepare_data import *
# fix ra... | null | pet_brainmask_convnet.py | pet_brainmask_convnet.py | py | 3,910 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
... |
448643423 | import pygame
import critter
import critter_utils
import entities
from random import randint
class App(object):
def __init__(self):
self._running = True
self._screen = None
self._screen_rect = None
self._background = None
self._size = self._width, self._height = 800, 600
... | null | src/simulation.py | simulation.py | py | 6,987 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.init",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
618038788 | #!/usr/bin/env python
# -*- encoding:utf-8 -*-
from __future__ import absolute_import, division, print_function, unicode_literals
import csv
from datetime import datetime, timedelta
from io import BytesIO
import dateutil.parser
from googleapiclient import discovery, http
from googleapiclient.errors import HttpError
f... | null | starslacker.py | starslacker.py | py | 4,997 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "slacker.Slacker",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "secrets.slack_token",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dat... |
527972828 | #!/usr/bin/python2.7
#coding=utf-8
from common.config import *
from testdata.data_login import *
from action.action_login import Login
import unittest
import logging
import time
class TestEnterpriseLogin(unittest.TestCase):
u'''
测试登录功能
'''
def setUp(self):
self.login = Login()
self.lo... | null | veeker/testsuite/olsm/test_enterprise_login.py | test_enterprise_login.py | py | 3,185 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "action.action_login.Login",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "... |
85795038 | #!/usr/bin/env python2
import os
import sys
import numpy as np
from PIL import Image as IMG
from matplotlib import pyplot as plt
from gamera.core import *
from gamera.toolkits.musicstaves import musicstaves_rl_carter
def a2png(arg):
fn, ext = os.path.splitext(arg)
rfn = "{}.png".format(fn)
if not os.path.isfile... | null | gmusix/staves.py | staves.py | py | 1,273 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.splitext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
228699884 | from __future__ import print_function
"""
Code ideas from https://github.com/Newmu/dcgan and tensorflow mnist dataset reader
"""
import numpy as np
import scipy.misc as misc
import progressbar
import sys
from six.moves import xrange
import cv2
class BatchDatset:
files = []
images = []
annotations = []
... | null | SeqBatchDatasetReader.py | SeqBatchDatasetReader.py | py | 4,503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "progressbar.ProgressBar",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "progressbar.ProgressBar",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.arr... |
554499872 | import queue
from threading import Thread
import socket
import websocket
import select
import time
import logging
import configparser
import os
"""
Opens up a websocket connection to the given url.
Connection can be started with .connection(), disconnected with .disconnect() and messages can be sent and read with .se... | null | networking/connector.py | connector.py | py | 6,891 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "queue.Que... |
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