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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
232770074 | # -*- coding: utf-8 -*-
from django.contrib import admin
# Register your models here.
from student.models import Student, Contact, Tag
# admin.site.register([Contact,Student, Tag])
# Register your models here.
# 自定义管理页面，来取代默认的页面。比如上面的 "add" 页面。我们想只显示 name 和 email 部分。修改
# 定义了一个 ContactAdmin 类，用以说明管理页面的显示格式。
# 里面的 f... | null | study-python-django/student/admin.py | admin.py | py | 2,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "student.models.Tag",
"line_number": 41,
"usage_type": "name"
},
{
"a... |
581314733 | from django import template
import datetime
register = template.Library()
@register.filter
def format_date(value):
date = datetime.datetime.fromtimestamp(value)
delta = datetime.datetime.now() - date
if delta.seconds <= 600:
return 'только что'
elif delta.seconds <= 86400:
return '{... | null | task3/app/templatetags/news_filters.py | news_filters.py | py | 1,227 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.fromtimestamp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": ... |
219814302 | import os,sys
from pathlib import Path
import importlib
class parser:
def __init__(self):
sys.path.append('commands')
self.vaild_command_names = self.get_valid_command_names()
self.commands = self.get_commands()
def get_commands(self):
commands = {}
for x in self.vaild_... | null | parser.py | parser.py | py | 1,401 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 26,
"usage_type": "call"
}
] |
374217528 | import sys
import os
import imghdr
import ntpath
from PIL import Image
from eirx.api import trans_image
def convert():
if len(sys.argv) != 4:
print >> sys.stderr, 'Usage:'
print >> sys.stderr, ' erix MODE SRC DEST'
return sys.exit(1)
mode = sys.argv[1]
src = sys.argv[2]
dest ... | null | src/eirx/main.py | main.py | py | 2,293 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_nu... |
442919603 | import unittest
import json
from os import listdir
from os.path import isfile, join
from dataproxy import Config
from bos_incidents import factory
from bos_incidents.mongodb_storage import IncidentNotFoundException
class TestWithConfig(unittest.TestCase):
def setUp(self):
Config.load("config-tests.yam... | null | tests/abstract.py | abstract.py | py | 1,202 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "dataproxy.Config.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "dataproxy.Config",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "unittes... |
652430632 | # -*- coding: utf-8 -*-
import sqlite3
# الاتّصال بقاعدة البيانات
db = sqlite3.connect('database.db')
# إنشاء مُؤشّر في قاعدة البيانات لنتمكّن من تنفيذ استعلامات SQL
cursor = db.cursor()
# إنشاء الجدول
cursor.execute("""
CREATE TABLE posts(
id INTEGER PRIMARY KEY,
title TEXT,
content TE... | null | lesson5_logout/create_db.py | create_db.py | py | 909 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
}
] |
8958692 | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 4 16:01:30 2019
使用词语相似度计算的方法处理未登录词
区别于使用平滑系数
@author: 李畅
"""
from os import path,listdir,makedirs,rename,chmod
import pickle
from math import pow,log,exp
import argparse
import time
import sys
from gensim.models import word2vec
class Naive_bayes:
de... | null | naive_bayes_add_word_sim.py | naive_bayes_add_word_sim.py | py | 8,520 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "gensim.models.word2vec.Word2Vec.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "gensim.mo... |
138393221 | #!/usr/bin/env python
import json
import re
import shutil
from pathlib import Path
from subprocess import run, CalledProcessError
import click
from dulwich.repo import Repo
from dulwich.porcelain import active_branch, reset
from jinja2 import Environment, FileSystemLoader
from jsonschema import validate
from packaging... | null | metadata/compile.py | compile.py | py | 3,824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jinja2.Environment",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessErro... |
450288321 | import torch
import torchvision
import torch.optim as optim
import matplotlib.pyplot as plt
import os
from datetime import datetime
import numpy as np
from skimage import io, data, metrics
# This is very ugly im sorry
import sys
# insert at 1, 0 is the script path (or '' in REPL)
sys.path.insert(1, r"C:\Users\daan\De... | null | neural_network/rerun_experiment.py | rerun_experiment.py | py | 4,373 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
164568721 | # Sphinx documentation build configuration file
import os
import re
import time
import sphinx
extensions = ['sphinx.ext.autodoc', 'sphinx.ext.doctest', 'sphinx.ext.todo',
'sphinx.ext.autosummary', 'sphinx.ext.extlinks',
'sphinx.ext.intersphinx',
'sphinx.ext.viewcode', 'sphin... | null | doc/conf.py | conf.py | py | 7,400 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.strftime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sphinx.__display_version__",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "sphinx.addn... |
125172824 | import xmltodict
import json
import os
from utils import image_id
def json2xml(js):
convertXml=''
jsDict = json.load(js)
try:
convertXml=xmltodict.unparse(jsDict,encoding='utf-8')
except:
convertXml=xmltodict.unparse({'request':jsDict},encoding='utf-8')
return convertXml
rootdi... | null | json2xml.py | json2xml.py | py | 942 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "xmltodict.unparse",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xmltodict.unparse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.image_id",
"li... |
487017387 | # !/usr/bin/env python
from __future__ import print_function
from setuptools import setup, find_packages
import sys
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name = "PyGenphi",
version = "0.1.10",
author = "David",
author_email = "david@eigenphi.com",
descrip... | null | setup.py | setup.py | py | 1,100 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 9,
"usage_type": "call"
}
] |
197252121 | import os
import logging
from logging.handlers import RotatingFileHandler, TimedRotatingFileHandler
import json
import datetime
from pymongo import MongoClient
def logInit(loglevel, log_file, backup_count=0, consoleshow=False):
if not os.path.exists(log_file):
dir_path, file_name = os.path.split(log_file)
... | null | common_func.py | common_func.py | py | 3,412 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
595063950 | from django.shortcuts import render
from django.http import HttpResponse
from .forms import SearchForm
import requests
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB
fr... | null | spam/views.py | views.py | py | 1,483 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "forms.SearchForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 25,
"usage_type": "call"
},
{
"... |
258352111 | """
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0
"""
from cfnlint.rules import CloudFormationLintRule
from cfnlint.rules import RuleMatch
class And(CloudFormationLintRule):
"""Check And Condition Function Logic"""
id = 'E8004'
shortdesc = 'Check Fn::And... | null | src/cfnlint/rules/conditions/And.py | And.py | py | 2,909 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cfnlint.rules.CloudFormationLintRule",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cfnlint.rules.RuleMatch",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cfnlint.rules.RuleMatch",
"line_number": 37,
"usage_type": "call"
},
{
... |
373768004 | # TODO : Add back navigation button
# Take user to personal homepage after login
# Handle empty button clicks
# Handle face not detected case
# Fix "Waiting" text
import sys
# import some PyQt5 modules
from PyQt5.QtWidgets import QApplication
from PyQt5.QtWidgets import QWidget
from PyQt5... | null | UI/employeelogin.py | employeelogin.py | py | 4,810 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.QTimer",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "employeesplashscreen.Ui_MainWindow",
"line_number": 48,
"usage_type": "call"
},
{
"ap... |
597168622 | from django.shortcuts import render_to_response
from education.models import *
from django.db.models import Q
from django.contrib import auth
from django.http import *
from django.core.paginator import Paginator, InvalidPage, EmptyPage
from sources.models import *
# Imports for the Ajax calls and the Jquery autocomple... | null | colonialismdb/education/views.py | views.py | py | 9,476 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.utils.encoding.smart_str",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.utils.encoding.smart_str",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.utils.simplejson.dumps",
"line_number": 30,
"usage_type": "call"
... |
204290975 | from collections import deque
def solution(m , load):
if (max(load) > 40 or min(load) <1 or max(load) > m) :
return -1
load.sort()
q_a = deque(sorted(load))
while q_a:
if len(q_a) >= 2:
tmp_a , tmp_b = q_a.pop() , q_a.popleft()
sum_= tmp_a + tmp_b
sum... | null | 16/05_BruteForce/algo/t01.py | t01.py | py | 674 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 6,
"usage_type": "call"
}
] |
442290608 | from academic_constants import *
from academic_data import Author, AcademicPaper
from request_handler import construct_params
from request_handler import evaluate_request
from django.core.cache import cache
import json
attributes = {
ATT_CITATIONS,
ATT_AUTHOR_AFFILIATION,
ATT_WORDS,
ATT_PAPER_TITLE,
ATT_FIELD_OF_... | null | academic_db_interface.py | academic_db_interface.py | py | 4,663 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "request_handler.construct_params",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "request_handler.evaluate_request",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "academic_data.AcademicPaper",
"line_number": 47,
"usage_type": "call"
... |
643696622 | # con render
from django.shortcuts import render
# con class
# from django.views.generic import TemplateView
# form
from contacts.forms import ContactForm
from django.http import HttpResponse, HttpResponseRedirect
# con render
# def contacts(request):
# return render(request, 'contacts/contacts.html', {'contacts': ... | null | ejercicios/plomerous/contacts/views.py | views.py | py | 716 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "contacts.forms.ContactForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "contacts.forms.ContactForm",
"line_number": 25,
"usage_type": "call"
},
{... |
131046239 | import cv2
import tensorflow as tf
import os
# quindi ora vogliamo convertire il numero nella stringa
categorie = ["Cane", "Gatto"]
def prepare(filepath):
IMG_SIZE = 50
img_array = cv2.imread(filepath, cv2.IMREAD_GRAYSCALE)
new_array = cv2.resize(img_array, (IMG_SIZE, IMG_SIZE))
return new_array.res... | null | animal_classifier/predict_animal.py | predict_animal.py | py | 958 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.resize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.mode... |
47530731 | '''
@author: An Dang, Henning Schulz
'''
import numpy as np
from collections import defaultdict
from sklearn.neighbors import KNeighborsClassifier
from behavior_model import BehaviorModel
class Cluster_analysis:
def __init__(self, prev_behavior_models, new_means, cluster_counts, label_encoder):
self.new... | null | clustinator/analysis/cluster_analysis.py | cluster_analysis.py | py | 6,186 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_num... |
166224561 | # -*- coding: utf-8 -*-
import json
import logging
from werkzeug.exceptions import Forbidden
from odoo import http, tools, _
from odoo.http import request
from odoo.addons.website_event.controllers.main import WebsiteEventController
_logger = logging.getLogger(__name__)
class WebsiteEventControllerMoreInfo(WebsiteE... | null | mmm_website_event_registration_fleet_manager/controllers/main.py | main.py | py | 2,400 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.addons.website_event.controllers.main.WebsiteEventController",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "odoo.http.request.httprequest.form.getlist",
"line_number... |
260883729 | from jwt import decode, InvalidTokenError, DecodeError, get_unverified_header
import sys
from tqdm import tqdm
# Classe vera e propria del crack
def jwt_crack(jwt, dictionary):
header = get_unverified_header(jwt)
with open(dictionary) as fp:
for secret in tqdm(fp):
secret = secret.rstrip()
... | null | unimoljwtcrack.py | unimoljwtcrack.py | py | 1,827 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jwt.get_unverified_header",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jwt.decode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "jwt.DecodeError",
"l... |
51764280 | # coding: utf-8
from typing import List
import numpy as np
from nuwe_cimiss import apiinterface_pb2 as pb
class RequestInfo(object):
def __init__(
self,
error_code: int = 0,
error_message: str = "",
request_elements: str = "",
request_params: str = "",... | null | nuwe_cimiss/data.py | data.py | py | 13,334 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nuwe_cimiss.apiinterface_pb2.RequestInfo",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "nuwe_cimiss.apiinterface_pb2",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "nuwe_cimiss.apiinterface_pb2.RequestInfo",
"line_number": 36,
... |
48476212 |
import config
import os, re
TMP_FOLDER = config.TMP_FOLDER
CAMERA_SEQ_PATH = config.CAMERA_SEQ_PATH
SCREEN_SEQ_PATH = config.SCREEN_SEQ_PATH
JM_PATH=config.JM_PATH
PSNR_PATH=config.PSNR_PATH
OUT_DATA_PATH = config.OUT_DATA_PATH
def get_did_from_resolution(width, height):
reso = width+height
if reso >= (9... | null | __init__.py | __init__.py | py | 1,375 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.TMP_FOLDER",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.CAMERA_SEQ_PATH",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "config.SCREEN_SEQ_PATH",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_n... |
527773087 | import datetime
class nagiostime(datetime.time):
def __new__(cls, *args, **kwargs):
if len(args):
args = args[1:]
kwargs.pop('is_end', None)
return super(nagiostime, cls).__new__(cls, *args, **kwargs)
def __init__(self, is_end=False, *args, **kwargs):
self.is_end = is_end
super(nagiostime, self).__init... | null | bubble/types.py | types.py | py | 446 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.time",
"line_number": 3,
"usage_type": "attribute"
}
] |
138437671 | from utils import config, parse_midas_data, sample_utils, diversity_utils, core_gene_utils, substitution_rates_utils, clade_utils
import os.path, sys, gzip
import numpy
min_coverage = config.min_median_coverage
alpha = 0.5 # Confidence interval range for rate estimates
low_pi_threshold = 1e-03
low_divergence_threshold... | null | Metagenomics/HMP1-2/postprocess/calculate_snv_distances.py | calculate_snv_distances.py | py | 5,509 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.config.min_median_coverage",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "utils.config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
521112427 | # -*- coding: utf-8 -*-
import sys
# sys.path.append('/usr/local/Cellar/opencv3/3.0.0/lib/python2.7/site-packages/')
import cv2
import os
from multiprocessing import Pool
from tqdm import tqdm
if len(sys.argv) < 5:
print("Usage:\n\tpython %s <casc_path> <src_dir_path> <dist_dir_path> <trash_dir_path>" % sys.argv[0... | null | scrapy/retrieve_faces/images/face-detector.py | face-detector.py | py | 2,293 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
228700709 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import io
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
from logya import __version__
# Use io.open to be able to set encoding to utf-8.
with io.open('README.rst', encoding='utf-8') as f:
readme = f.read()
with io.ope... | null | setup.py | setup.py | py | 1,795 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "distutils.core.setup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logya.__version__",
"line_nu... |
506990657 | # Copyright 2016-present CERN – European Organization for Nuclear Research
#
# 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... | null | qf_lib/tests/unit_tests/data_providers/portara/test_portara_data_provider_daily.py | test_portara_data_provider_daily.py | py | 8,654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "qf_lib.common.utils.dateutils.string_to_date.str_to_date",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "qf_lib.common.utils.dateutils.string_to_date.str_to_date",
"line_n... |
505529137 | """
setup.py
setuptools control
"""
import re
from setuptools import setup
version = re.search(
'^__version__\s*=\s*"(.*)"',
open('xssmap/XssMap.py').read(),
re.M
).group(1)
with open('README.md', 'rb') as f:
long_descr = f.read().decode('utf-8')
setup(
name = 'xssmap',
packages = [... | null | setup.py | setup.py | py | 692 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.search",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.M",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 20,
"usage_type": "call"
}
] |
388966591 | import numpy as np
import cv2
from collections import deque
from PIL import Image
import tensorflow as tf
from config import *
import sys
data_names = ["train", "test"]
for dn in data_names:
list_f = open('data_video/' + dn + '_list', 'rw+')
temp = list_f.read()
video_list = temp.split('\n')
writer... | null | gen_data.py | gen_data.py | py | 3,177 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.python_io.TFRecordWriter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tensorflow.python_io",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 19,
"usage_type": "call"
},
{
"ap... |
5624401 | #!/usr/bin/env python3
'''
CLEAN AND WRAGLE DATA INTO JSON
'''
import os
import io
import time
import pandas as pd
import numpy as np
import simplejson
# READ IN CONTRIBUTIONS CSV FILE AND CLEAN IT UP A BIT
input_dir = '../csv'
input_file_name = 'ocf_contributions.csv'
output_dir = '../json'
ocf_retrieval_time = ti... | null | data-wrangling/generate_json.py | generate_json.py | py | 7,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.ctime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.getctime",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
413173944 | from django.conf.urls import include, url,patterns
from django.contrib import admin
from ShopGame import settings
from rest_framework import routers
from shopping import views
router = routers.DefaultRouter()
router.register(r'category', views.CategoryViewSet)
router.register(r'item', views.ItemViewSet2)
urlpatter... | null | ShopGame/ShopGame/urls.py | urls.py | py | 729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "shopping.views.CategoryViewSet",
"line_number": 9,
"usage_type": "attribute"
... |
534681680 | import os.path
import numpy as np
import pyam
import pytest
import scmdata
from climate_assessment.harmonization_and_infilling import harmonization_and_infilling
pytestmark = pytest.mark.nightly
def test_harmonize_and_infill_negative_co2_afolu_in_input(test_data_dir, tmpdir):
# the trick is that there is a neg... | null | tests/nightly/test_harmonization_and_infilling_nightly.py | test_harmonization_and_infilling_nightly.py | py | 1,956 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.mark",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scmdata.ScmRun",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyam.IamDataFrame",
"... |
476506318 | import pytest
from pytest_mock import mocker
from docopt import docopt, DocoptExit
from ns1cli.commands import record
import nsone
from nsone.records import Records
try: # Python 2
from itertools import izip as zip
except ImportError:
pass
try: # Python 3.3 +
import unittest.mock as mock
except ImportE... | null | tests/unit/test_record.py | test_record.py | py | 2,959 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mock.MagicMock",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nsone.records.Records",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "mock.MagicMock",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pytest_mock.mocke... |
481460110 | import numpy as np
from gym import spaces
from gym import Env
class PointEnv(Env):
"""
point mass on a 2-D plane
goals are sampled randomly from a square
"""
def __init__(self, num_tasks=1):
self._test_train_shift = False
self._skew_to_train = True
self.reset_task()
... | null | hw5/meta/point_mass.py | point_mass.py | py | 4,491 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.Env",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "gym.spaces.Box",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gym.spaces",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.inf",
"line_number": 17,
... |
10623310 | # -*- coding: utf-8 -*-
from flask import current_app, Markup, render_template, request, jsonify, make_response
from werkzeug.exceptions import default_exceptions, HTTPException
def error_handler(error):
msg = "Request resulted in: {}".format(error)
current_app.logger.warning(msg, exc_info=error)
if isin... | null | app/errors.py | errors.py | py | 1,034 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.current_app.logger.warning",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.current_app.logger",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 8,
"usage_type": "name"
},
{
"api... |
461515588 | # (c) 2014-2016, Ben Osman (@benosman)
#
# This file is part of Able
#
# Able 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.
#
# Able ... | null | able/cli/command.py | command.py | py | 3,095 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "able.cli.base_command.CLIBaseCommand",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "able.cli.base_command.CLIBaseCommand.__init__",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "able.cli.base_command.CLIBaseCommand",
"line_number": 35,
... |
482607386 | # Utilities
import argparse
import random
import time
import os
from timeit import default_timer as timer
# Libraries
import numpy as np
# Torch
import torch
from torch.utils import data
import torch.optim as optim
# Customized Imports
from nnet.logger import setup_logs
from nnet.dataset import VectorDataset
from nn... | null | model_ivector_gmm/ivector/src/main_NN.py | main_NN.py | py | 6,983 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.cuda.empty_cache",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "nnet.M... |
632196315 | import os
from keras.models import model_from_json
import src.config as config
class ClassifierANN():
def __init__(self, classifier=None):
if classifier:
self.classifier = classifier
else:
self.load_model()
self.load_weights()
def save_model(self... | null | app/src/classifierann.py | classifierann.py | py | 1,903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "src.config.get_value",
... |
504815939 | from collections import OrderedDict
from functools import wraps, update_wrapper
import time
import os
###############################
# useful decorators
###############################
__memoization_registry = []
_CALL_FUNC_COUNTERS = {}
# a decorator for memoizing function outputs
def memoize_i... | null | solutions_5648941810974720_0/Python/bigOnion/phone.py | phone.py | py | 9,410 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "functools.wraps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.ctime",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 4... |
444051450 | #TODO: issues when selecting only 1 roi, dimensional related to extraction from movie
import numpy as np
import cv2
import pylab as pl
import warnings
import matplotlib.lines as mlines
CV_VERSION = int(cv2.__version__[0])
def select_roi(img=None, n=0, ax=None, existing=None, mode='polygon', show_mode='mask', cmap=pl.... | null | pyfluo/roi.py | roi.py | py | 12,352 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.__version__",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pylab.cm",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pylab.figure",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pylab.gca",
"line_... |
606685830 | # -*- coding: utf-8 -*-
import csv
import os
os.environ['PYWIKIBOT_DIR'] = os.path.dirname(os.path.realpath(__file__))
import pywikibot
os.environ['TZ'] = 'UTC'
site = pywikibot.Site()
site.login()
with open('list.csv', 'r') as f:
r = csv.reader(f)
for row in r:
title = row[0]
edit = row[1]... | null | mass-protect/protect.py | protect.py | py | 807 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"lin... |
357699289 | import itertools
import logging
import sys
import time
import warnings
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
Iterator,
List,
Optional,
Union,
)
import numpy as np
import ray
from ray.air.util.data_batch_conversion import BlockFormat
from ray.data._inter... | null | python/ray/data/dataset_pipeline.py | dataset_pipeline.py | py | 54,515 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "typing.I... |
586239285 | from flask_wtf import FlaskForm
from wtforms import TextAreaField, StringField, SubmitField
from wtforms.validators import DataRequired, Length, ValidationError
from app.models import User
class EditProfileForm(FlaskForm):
username = StringField('Username', validators=[DataRequired()])
about_me = TextAreaFi... | null | app/main/forms.py | forms.py | py | 1,172 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask_wtf.FlaskForm",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "wtforms.validators.DataRequired",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
39162119 | __author__ = 'jim'
from scrapy.http import Request
from alascrapy.items import ProductItem, ReviewItem
from alascrapy.spiders.base_spiders.ala_spider import AlaSpider
from alascrapy.lib.generic import get_full_url, date_format
class GsminfoNlSpider(AlaSpider):
name = 'gsminfo_nl'
allowed_domains = ['gsminfo... | null | alascrapy/spiders/gsminfo_nl.py | gsminfo_nl.py | py | 4,344 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alascrapy.spiders.base_spiders.ala_spider.AlaSpider",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scrapy.http.Request",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "alascrapy.lib.generic.get_full_url",
"line_number": 18,
"usage_ty... |
79011370 | from app.core.exceptions import *
from typing import Any
from app.core.config import settings
from aiogoogle import Aiogoogle
from .utills import build_service, build_user_creds, build_client_creds
from app.core.schemas.google.gmail_api import *
from app.core.schemas.topics.watch import WatchModel
class GmailApiProvid... | null | app/providers/google/gmail_api.py | gmail_api.py | py | 5,402 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.core.config.settings.GOOGLE_CLIENT_SETTINGS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "app.core.config.settings",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.core.config.settings",
"line_number": 23,
"usage_type":... |
509345918 | import torch
import torch.nn as nn
import torch.functional as F
from Config import *
# Define model
class SiamNet(nn.Module):
def __init__(self):
super(SiamNet,self).__init__()
# architecture (AlexNet)
self.embedding_function = nn.Sequential(
nn.Conv2d(3,96,11,2), # conv1
... | null | SiamFC.py | SiamFC.py | py | 3,183 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
542378588 | import pandas as pd
import numpy as np
import logging
from uszipcode import ZipcodeSearchEngine
def zip_state(df, zip_col, state_col):
'''
:type df: pd.DataFrame
:param df:
:param zip_col:
:param state_col:
:return:
'''
search = ZipcodeSearchEngine()
f = lambda x: str(search.by_... | null | recoding/src/main/recoding.py | recoding.py | py | 10,586 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "uszipcode.ZipcodeSearchEngine",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 254,
"usage_type": "attribute"
}
] |
122028438 | import json
import jsonlines
import pandas
import random
import re
import argparse
import numpy as np
import tensorflow as tf
def getparams():
parser = argparse.ArgumentParser(
description="BiLSTM-CRF for Chinese NER task")
parser.add_argument(
"--Word2idPath",
type=str,
defaul... | null | utils.py | utils.py | py | 11,339 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jsonlines.open",
"line_number": 158,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 163,
"usage_type": "call"
},
{
"api_name": "json.load",
"l... |
470619119 | import asyncio
from argparse import ArgumentParser
from aiofile import AIOFile
import os
from datetime import datetime
async def parseArguments():
analizador = ArgumentParser(description='Entrada al Servidor')
analizador.add_argument("-p","--port",type=int,default=5000,help = "Puerto donde se espera la c... | null | alumnos/59103-alejandro-marotta/tp4/tp4.py | tp4.py | py | 3,174 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "asyncio.create_task",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "asyncio.create_task",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.pat... |
392536188 | # encoding: utf-8
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "Licens... | null | odps/pai/metrics/nodes/classification.py | classification.py | py | 4,363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "metrics_base.MetricNode",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "core.dag.DagEndpointType.DATA",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "... |
483020909 | '''
Utility function for running the LoadData class
'''
#################################
# Configuration
#################################
import sys
import os
import logging
import argparse
PYTHON_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__),
os.pardir))
s... | null | python/scripts/load_data.py | load_data.py | py | 3,235 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line... |
92919573 | #!/usr/bin/env python
# pre-commit git hook that runs python and R linters, validates JSON files,
# removes trailing whitespace from lines, and checks for encryption
# secrets, aws keys, and large files which shouldn't be added to git.
# Currently it does not prevent the commit from occuring, it simply warns
# of poss... | null | githooks/pre-commit.py | pre-commit.py | py | 4,415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.check_output",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "... |
479936242 | #-*- coding: utf-8 -*-
import sys, os, re
from tempfile import NamedTemporaryFile
from importlib import import_module
import requests
from flask import Flask, request, json, Response, make_response, render_template, redirect
from flask_cors import CORS
from wikispeech_server.voice_config import textprocessor_configs,... | null | wikispeech_server/wikispeech.py | wikispeech.py | py | 30,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wikispeech_server.log.debug",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "wikispeech_server.log",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.system",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.system... |
28060733 | from datetime import date
from tkinter import messagebox
from tkinter import *
import os
import mysql.connector
# Designing window for cancellation
mydb = mysql.connector.connect(user='root', password='password',
host='localhost',
database='OSHES')
mycursor... | null | src/CustomerAndAdminFunctions/cancel.py | cancel.py | py | 2,113 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 8,
"usage_type": "name"
},
{
"api... |
373828001 | import MFRC522
import signal
import requests
import json
import time
import datetime
continue_reading = True
MIFAREReader = MFRC522.MFRC522()
def end_read(signal, frame):
global continue_reading
continue_reading = False
print('Ctrl+C captured, ending read.')
MIFAREReader.GPIO_CLEEN()
def post_tag_d... | null | rfid_python_lib/bck_user_reader.py | bck_user_reader.py | py | 1,338 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "MFRC522.MFRC522",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.codes",
"line_nu... |
653797772 | from bs4 import BeautifulSoup
html = '''
<dl>
<dt>국적</dt>
<dd>대한민국</dd>
<dt>활동장르</dt>
<dd>Dance, Ballad, Drama</dd>
<dt>데뷔</dt>
<dd class="debut_song">
<span class="ellipsis">
2016.05.05
<span class="bar">
... | null | parsing_test.py | parsing_test.py | py | 1,364 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 34,
"usage_type": "call"
}
] |
283368246 | from options.test_options import TestOptions
from models.models import create_model
import imageio
from tqdm import tqdm
from skimage.transform import resize
import torch
import numpy as np
from skimage import img_as_ubyte
import matplotlib
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
def show(img):
... | null | apply_to_video.py | apply_to_video.py | py | 2,822 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
408464207 | import os
from flask import Flask, render_template, request
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/', methods=['POST'])
def result():
number = int(request.form['task'])
if request.method == 'POST':
open("tasks.txt", "w").close()
... | null | STR_Project/app.py | app.py | py | 1,314 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
592217467 |
import torchvision
import torchvision.transforms as transforms
def imagenet_loader(split, args=None, cfg=None):
normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
if split == 'val':
val_transform = transforms.Compose([
transforms.Resize(256),
... | null | imagenet/datasets/classification.py | classification.py | py | 2,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torchvision.transforms.Normalize",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 8,
"usage_type": "call"
},
{
... |
218887269 | # Importing celery
from celery.task.schedules import crontab
from celery.decorators import periodic_task
from celery import shared_task
# Importing profile and jobpost manager for management assignment
from users.models import Profile
from service.models import JobPost
# Importing email
from django.core.mail import E... | null | management/tasks.py | tasks.py | py | 1,546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "service.models.JobPost.objects.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "service.models.JobPost.objects",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "service.models.JobPost",
"line_number": 26,
"usage_type": "name"
... |
302369589 | from os.path import join
import json
import os
import random
import argparse
from collections import Counter
import pickle as pkl
import re
def _count_data(path):
""" count number of data in the given path"""
matcher = re.compile(r'[0-9]+\.json')
match = lambda name: bool(matcher.match(name))
names = ... | null | build_weighted_vocab.py | build_weighted_vocab.py | py | 1,995 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_nu... |
133377610 | #-*- coding: utf-8 -*-
import random
from unidecode import unidecode
import time
def assess(rr, w):
tot = rr + w
acc = rr/tot
print('Summary:\t')
if w == 0:
print('Wonderful! You answered all {} questions correctly! Let us drink to that!\n....Cheers! (party) (party)'.format(rr))
... | null | azbuka.py | azbuka.py | py | 4,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "unidecode.unidecode",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "unidecode.unidecode",
... |
27728230 | """Utilities for LH5 file inventory."""
from __future__ import annotations
import json
import logging
import os
import re
import string
import warnings
import h5py
import lgdo
import numpy as np
import pandas as pd
from lgdo import Array, Scalar, VectorOfVectors
from lgdo import lh5_store as lh5
from parse import par... | null | src/pygama/flow/file_db.py | file_db.py | py | 27,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 131,
"usage_type": "attribute"
},
{
"api_name": "string.Format... |
556748358 | # Copyright 2021 VMware, Inc.
# SPDX-License-Identifier: Apache-2.0
import argparse
import os
from githubDataExtraction import GithubDataExtractor
def getRepos(access_token, organization, reaction):
"""
Method to extract data for all repositories in organization
"""
extractor = GithubDataExtractor(a... | null | ml-conversational-analytic-tool/runDataExtraction.py | runDataExtraction.py | py | 1,609 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "githubDataExtraction.GithubDataExtractor",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "githubDataExtraction.GithubDataExtractor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_typ... |
81674030 | import argparse
import os
from collections import namedtuple
from split import split_list
Tweet = namedtuple('Tweet', ['string', 'label', 'index'])
def read_riloff_dataset(path):
tweets_file_path = os.path.join(path, 'riloff.tweets.tsv')
labels_file_path = os.path.join(path, 'riloff.txt')
tweets = []
... | null | prepare/prepare_riloff.py | prepare_riloff.py | py | 3,200 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"l... |
159213331 | from django import forms
from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.urls import reverse
from django.utils.html import format_html
from instruments.models import MethodPage
from userdata.models import StaffUser
from userinput.models import RUBIONUser, W... | null | userinput/rai/forms.py | forms.py | py | 12,090 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.f... |
176592390 | from VirtualCopernicusNG import TkCircuit
import rooms.lighting as lighting
room_id = "client5"
configuration = {
"name": "lobby",
"sheet": "sheet_smarthouse.png",
"width": 332,
"height": 300,
"leds": [
{"x": 112, "y": 70, "name": "LED 1", "pin": 21},
{"x": 71, "y": 141, "name": "L... | null | lab3/rooms/lobby.py | lobby.py | py | 2,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "VirtualCopernicusNG.TkCircuit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "gpiozero.LED",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "gpiozero.LED",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "rooms.lightin... |
403511891 | #!/usr/bin/python
import re, sys
from argparse import ArgumentParser
def read_lines():
try:
while True:
yield raw_input()
except EOFError:
pass
def iter_file(filename=None):
def file_iterator():
with open(filename, 'r') as f:
for line in f:
yield line.rstrip('\n')
return file_iterator() if fi... | null | web-extension/update_manifest.py | update_manifest.py | py | 1,587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.I",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"... |
321090566 | import xml.etree.ElementTree as ET
import json
import html
import uuid
from functools import reduce
import os
import sqlite3
allSkills = []
allCompetences = []
def skillRLPschema (tree):
#skills with tags
correctNode = tree.findall('./{http://bsbb.eu}c2/')
skillUUID = ""
skillAltName = ""
comp1 = ... | null | xmlToJson.py | xmlToJson.py | py | 6,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "html.escape",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "html.escape",
"line_number": 58... |
498258807 | """
The heartbeat checker implements heartbeat check behavior and is non-client
facing.
"""
import logging
import threading
import time
from rabbitpy import exceptions
LOGGER = logging.getLogger(__name__)
class Checker(object):
MAX_MISSED_HEARTBEATS = 2
def __init__(self, io, exception_queue):
se... | null | rabbitpy/heartbeat.py | heartbeat.py | py | 2,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_numb... |
101673688 | from scenario import Scenario
from filter import *
import time
from cyber_py import cyber
from modules.drivers.proto.sensor_image_pb2 import Image
from modules.drivers.proto.pointcloud_pb2 import PointCloud, PointXYZIT
from modules.perception.proto.perception_obstacle_pb2 import PerceptionObstacles, PerceptionObstacle,... | null | modules/scenario/fault_injection/simulation.py | simulation.py | py | 7,030 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "modules.perception.proto.perception_obstacle_pb2.PerceptionObstacles",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "modules.drivers.proto.sensor_image_pb2.Image",
"line_number": 24,
"usage_type": "argument"
},
{
"api_name": "modules.drivers.proto.s... |
49398945 | import numpy as np
import tensorflow as tf
import os
from keras.datasets.cifar10 import load_data
from ares import Boundary
from ares.model.loader import load_model_from_path
logger = tf.get_logger()
logger.setLevel(tf.logging.INFO)
batch_size = 200
session = tf.Session()
model_path = os.path.join(os.path.dirname... | null | test/test_boundary.py | test_boundary.py | py | 2,287 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Session",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.p... |
496336210 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time :2019/8/22 20:27
# @Author :ytq
import time
import pytest
from src.appium_study.po_study.common.appium_driver import AppiumDriver
@pytest.fixture
def init_appium_driver():
comm = AppiumDriver()
driver = comm.driver
yield driver
time.sleep(2)
... | null | src/appium_study/po_study/conftest.py | conftest.py | py | 342 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "src.appium_study.po_study.common.appium_driver.AppiumDriver",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "attribute"
}
... |
597306239 | import logging
from .lbfgs import LBFGS
from .lincg import LinearCG
from .slq_logdet import SLQLogDet
__all__ = [
LBFGS,
LinearCG,
SLQLogDet,
]
class pd_catcher(object):
'''
A decorator to deal with non-positive definite matrices (useful during optimization)
If an error due to non-psotiive de... | null | gpytorch/utils/__init__.py | __init__.py | py | 1,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lbfgs.LBFGS",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "lincg.LinearCG",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "slq_logdet.SLQLogDet",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "logging.warning",
"l... |
365345713 | #-*- coding: utf-8 -*-
from django.shortcuts import render, redirect
from photos.models import Photo
from django.http import HttpResponseNotFound
from django.contrib.auth import authenticate, login, logout
from photos.forms import LoginForm, PhotoForm
from django.contrib.auth.decorators import login_required
from djang... | null | photos/views.py | views.py | py | 4,899 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "photos.models",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "photos.models.Photo.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "photos.models.Photo.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
114139383 | import csv
import urllib.request
import urllib
import json
from PIL import Image, ImageFile
def main():
input = "(path to csv data)"
output = "(path to new csv data)"
hd_folder = "(path to directory)"
crop_folder = "(path to directory)"
final_arr = []
with open(input, 'r') as csvfile:
... | null | python/image_annotation_resize(bb).py | image_annotation_resize(bb).py | py | 6,037 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 3... |
566451468 | # -*- coding: utf-8 -*-
"""
@File : cnn.py
@Time : 2020/4/18 下午5:54
@Author : yizuotian
@Description : 卷积网络
"""
import argparse
import os
import time
from six.moves import cPickle
from losses import cross_entropy_loss
from optimizers import *
from utils import to_categorical, save_weights, load_weights
... | null | nn/cnn.py | cnn.py | py | 4,820 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.moves.cPickle.load",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "six.moves.cPickle",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "os.path",
"... |
504646206 | import numpy as np
import tensorflow as tf
# 读取mnist文件，并存为ndarray类型的images和labels
# images为60000×784（60000个样本，每个样本784个特征（28×28））
# labels为大小是60000一维向量
def load_mnist(path, kind='train'):
import os
import struct
labels_path = os.path.join(path, '%s-labels.idx1-ubyte' % kind)
images_path = os.path.join... | null | dnn_mnist.py | dnn_mnist.py | py | 3,923 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
411538322 | """Create datapoints table
Revision ID: 6d2eacd5da3f
Revises: N/A
Create Date: 2019-09-29 13:43:21.242706
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "6d2eacd5da3f"
down_revision = None
branch_labels = None
depends_... | null | src/apd/aggregation/alembic/versions/6d2eacd5da3f_create_sensor_values_table.py | 6d2eacd5da3f_create_sensor_values_table.py | py | 760 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
232156387 | # n 皇后问题 研究的是如何将 n 个皇后放置在 n×n 的棋盘上，并且使皇后彼此之间不能相互攻击。
#
# 给你一个整数 n ，返回所有不同的 n 皇后问题 的解决方案。
#
#
#
# 每一种解法包含一个不同的 n 皇后问题 的棋子放置方案，该方案中 'Q' 和 '.' 分别代表了皇后和空位。
#
#
#
# 示例 1：
#
#
# 输入：n = 4
# 输出：[[".Q..","...Q","Q...","..Q."],["..Q.","Q...","...Q",".Q.."]]
# 解释：如上图所示，4 皇后问题存在两个不同的解法。
#
#
# 示例 2：
#
#
# 输入... | null | [51]N皇后.py | [51]N皇后.py | py | 2,221 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 45,
"usage_type": "name"
}
] |
428384176 | from flask import Flask, jsonify, request
from flask_jwt_extended import JWTManager, jwt_required, \
create_access_token, jwt_refresh_token_required, \
create_refresh_token, get_jwt_identity, set_access_cookies, \
set_refresh_cookies, unset_jwt_cookies
# NOTE: This is just a basic example of how to enabl... | null | examples/jwt_in_cookie.py | jwt_in_cookie.py | py | 3,356 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask_jwt_extended.JWTManager",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.request.json.get",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flas... |
578405660 | from django.db import models
from .fields import HashField
from .utils import hashit
class HashManager(models.Manager):
hash_field_name = 'hash_key'
def hash_keys(self, **kwargs):
qs = super(HashManager, self).get_query_set()
return list(qs.filter(**kwargs).values_list(self.get_hash_field_nam... | null | hashfield/manager.py | manager.py | py | 1,875 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Manager",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "fields.HashField",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "fie... |
83758396 | import os
import requests
from semantic_version import Version
TARGET_NAME = os.environ["TARGET_NAME"]
TARGET_STAGE = os.environ["TARGET_STAGE"]
TARGET_VERSION = os.environ["TARGET_VERSION"]
# Convert PEP 440 to Semantic Versioning 2.0.0
def convert_to_semantic_version(release_key):
return Version.coerce(releas... | null | scripts/resolve_target_version.py | resolve_target_version.py | py | 1,685 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "semantic_version.Version... |
980010 | import cv2
import mediapipe as mp
import time
import streamlit as st
import base64
def app():
main_bg = 'bck3.png'
st.markdown(
f"""
<style>
.reportview-container {{
background: url(data:image/png;base64,{base64.b64encode(open(main_bg, "rb").read()).decode()})
}}
... | null | live_face_recog.py | live_face_recog.py | py | 2,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "streamlit.markdown",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.title",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "streamlit.checkbo... |
75994263 | #! /usr/bin/env python
# _*_ coding: UTF-8 _*_
import time, sys
import pymeasure
class ml2437a(object):
'''
DESCRIPTION
================
This class cntrols the ML2437A.
ARGUMENTS
================
1. dev: device number
Type: int
Default: 1
'''
de... | null | NASCORX_System/device/ML2437A.py | ML2437A.py | py | 4,353 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymeasure.gpib_prologix",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pymeasure.gpib_prologix",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "pymeasure.... |
149677719 | import pytest
import pexpect
def test_trasaction_rprompt(cli):
cli.sendline("multi")
cli.expect(["OK", "transaction", "127.0.0.1"])
cli.sendline("get foo")
cli.expect(["QUEUED", "127.0.0.1"])
cli.sendline("EXEC")
def test_trasaction_syntax_error(cli):
cli.sendline("multi")
cli.sendline... | null | tests/cli_tests/test_transaction.py | test_transaction.py | py | 593 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.raises",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pexpect.exceptions",
"line_number": 22,
"usage_type": "attribute"
}
] |
500365518 | import sys
sys.path.append('utils')
import os
import argparse
import json
from tensorboardX import SummaryWriter
from dataset.spot import DailyDataset_nn, get_loader, TOTAL_STD, TOTAL_MEAN, SPOT
from tool import to_gpu
import torch
import torch.nn as nn
import torch.optim as optim
from tqdm import trange, tqdm
import n... | null | EPEX/bootstrap.py | bootstrap.py | py | 4,076 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorboardX.Summ... |
7090782 | #coding:utf-8
"""
@info: 代码放入同文件,窗体展示测试
@author:NetFj @software:PyCharm @file:qt07_main.py @time:2018/11/5.14:12
"""
from PyQt5 import QtWidgets,QtCore
import sys
class MyWindow(QtWidgets.QWidget):
def __init__(self):
pass
def setupUi(self, Form):
Form.setObjectName("Form")
Form.resiz... | null | qt/qt01/qt07_main.py | qt07_main.py | py | 1,030 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 17,
"usage_type": "call"
},
{
"api_name... |
597102431 | import numpy as np
import pandas as pd
import unittest
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import time
from bs4 import BeautifulSoup
from selenium.webdriver.support.ui import Select
# url de la pagina
url_1 = 'https://www.chip.gov.c... | null | 1_download/scr/1_web_scraping_data.py | 1_web_scraping_data.py | py | 3,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.read_stata",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.... |
609734371 | from django.contrib.auth import get_user_model
from django.core.exceptions import ObjectDoesNotExist
from django.http import QueryDict
import json
from rest_framework_jwt.utils import jwt_decode_handler
def get_request_body_dict(request):
try:
if isinstance(request.data, str):
json_data = jso... | null | newbee/newbee_util/request.py | request.py | py | 1,758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.http.QueryDict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rest_framework_jwt.utils.... |
229977855 | from clay.core import *
from .data_descriptors import *
from clay.shared.py_utils import *
from collections import OrderedDict, namedtuple
from copy import copy
class Component(ParentRel):
# source_map is a dict from rel ID in source rtree -> Relation in this rtree
# source_filename is the filename of the sour... | null | clay/std_lib/components.py | components.py | py | 10,840 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "copy.copy",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 76,
"usage_type": "call"
}
] |
317880903 | """
Class to define GAN discriminator
"""
import torch
from torchvision import models
import torch.nn as nn
import numpy
class Encoder(nn.Module):
def __init__(self, cnn_model, input_dim, hidden_dim, lstm_layers, embedding_dim, sequence_len):
super(Encoder, self).__init__()
# Convolutions (pre-tr... | null | generative_models/encoder_single.py | encoder_single.py | py | 1,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torchvision.models.vgg16",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torchvision.mo... |
24687284 | import torch
def predict(batch_paras, word_attn_model, sent_attn_model):
word_attn_model.eval()
sent_attn_model.eval()
max_para_len, batch_size, max_sent_len = batch_paras.size()
word_init_state = word_attn_model.init_hidden(batch_size=batch_size)
sent_init_state = sent_attn_model.init_hidden(batc... | null | validate.py | validate.py | py | 1,407 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cat",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.argmax",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 37,
"usage_type": "call"
}
] |
53684818 |
import json
import os
import sys
from datetime import datetime, time, timedelta
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
from default_config import (_CLIENT_ID, _CLIENT_SECRET, _DATE_FORMAT,
_INDICATOR_PLAYLIST, _PROMOTOR_PLAYLISTS, _TRACK)
class Track:
de... | null | main.py | main.py | py | 4,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "default_config._DATE_FORMAT",
"line_number": 29,
"usage_type": "argument"
},
{
"api_name": "default_config._DATE_FORMAT",
"line_number": 47,
"usage_type": "argument"
},
{
"api_name": "spotipy.Spotify",
"line_number": 67,
"usage_type": "call"
},
{
"a... |
90162303 | import sys
import pygame
#监视屏幕和鼠标事件
def check_events(ship):
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
elif event.type == pygame.KEYDOWN:
if event.key == pygame.K_RIGHT:
ship.moving_right=True
elif event.key == pygam... | null | game_functions.py | game_functions.py | py | 882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.event.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.event",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.QUIT",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line... |
81826488 | # -*- coding: utf-8 -*-
import json
from importlib import import_module
import rest_framework_swagger as rfs
from django.apps import apps
from django.conf import settings
from django.core.exceptions import PermissionDenied
from django.shortcuts import render_to_response
from django.template import RequestContext, Temp... | null | universal_notifications/docs.py | docs.py | py | 12,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "universal_notifications.notifications.EmailNotification",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "universal_notifications.notifications.NotificationBase",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "universal_notifications.notificati... |
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