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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
376128940 | from requests.exceptions import Timeout
import requests
import asyncio
import json
import random
import string
import time
import sys
from termcolor import colored
import time
import subprocess
#list of relevant ports
listOfPorts = ["13801", "13802", "13803", "13804", "13805"]
portToVarMap = {"13801":"v... | null | test/lbscript.py | lbscript.py | py | 11,730 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "termcolor.colored",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "termcolor.colored",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "termcolor.color... |
627743777 | from django.contrib import admin
from django.urls import path, include
admin.site.site_header = "Exam Portal Admin"
admin.site.site_title = "Exam Portal Admin Portal"
admin.site.index_title = "Welcome to Exam Portal"
urlpatterns = [
path('admin/', admin.site.urls),
path('', include('main.urls')),
path('pr... | null | portal/urls.py | urls.py | py | 399 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.site",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 5,
"usage_type": "attribute"
},
{
"a... |
462809074 | #!/usr/bin/env python3
import sys
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfinterp import PDFResourceManager, PDFPageInterpreter
from pdfminer.pdfdevice import PDFDevice, TagExtractor
from pdfminer.pdfpage import PDFPage
from pdfminer.converter import XMLConv... | null | parser.py | parser.py | py | 7,163 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "getopt.getopt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pdfminer.layout.LAParams",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pdfmin... |
388484071 | from django.shortcuts import render
from django.http import HttpResponse
from attention.models import Attention
from users.models import Users
from django.contrib.auth.models import User
# Create your views here.
def attentionOne(request):
if request.is_ajax():
nickname = request.GET['nickname']
print(nickname)
... | null | myforum/attention/views.py | views.py | py | 1,480 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "users.models.Users.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "users.models.Users.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "users.models.Users",
"line_number": 12,
"usage_type": "name"
},
{
... |
272738204 | import os
import subprocess
import urllib
import MaxPlus
from PySide2 import QtCore, QtGui
from PySide2 import QtWidgets
from PySide2.QtCore import QFile
from PySide2.QtGui import QIcon, QColor
from PySide2.QtUiTools import QUiLoader
from PySide2.QtWidgets import QMessageBox, QVBoxLayout, QSizePolicy, QFileDialog, QPu... | null | AnimRef/Contents/2020/animref.py | animref.py | py | 12,850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide2.QtWidgets.QDialog",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "MaxPlus.GetQMaxMainWindow",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PySide2.QtCore.Qt",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_na... |
551164896 | from typing import List
class Solution:
def PredictTheWinner(self, nums: List[int]) -> bool:
numLen = len(nums)
dp = [[0] * numLen] * numLen
for k,v in enumerate(nums):
dp[k][k] = v
for i in range(numLen - 2, -1, -1):
for j in range(i + 1, numLen):
... | null | pythonProj/leetcode/486.PredictTheWinner.py | 486.PredictTheWinner.py | py | 561 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
152946621 | """
.. See the NOTICE file distributed with this work for additional information
regarding copyright ownership.
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.or... | null | CHiC/tool/bam2chicago_tool.py | bam2chicago_tool.py | py | 7,206 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.logger.warn",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utils.logger",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "utils.logger.warn",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "utils.logger",
"... |
558729251 | """
Interactive shell
"""
import itertools
import os
import re
import fire
from parrotfish.utils import CustomLogging, get_callables
from prompt_toolkit import prompt
from prompt_toolkit.contrib.completers import WordCompleter, PathCompleter
from prompt_toolkit.styles import style_from_dict
from prompt_toolkit.token ... | null | parrotfish/shell.py | shell.py | py | 5,899 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "parrotfish.utils.CustomLogging.get_logger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "parrotfish.utils.CustomLogging",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "prompt_toolkit.contrib.completers.WordCompleter",
"line_number": 19,... |
637450746 | import numpy as np
from collections import OrderedDict
class hmm():
def __init__(self,S, A, B, pi, E):
"""
Initialisation des paramètres du HMM
----------
states (Tuple) : Liste des états du modèle
E (Tuple) : Liste des émissions du modèle
A (Matrice) : Probabilités ... | null | hmm.py | hmm.py | py | 9,990 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.choice",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
487483567 | import numpy as np
import networkx as nx
import argparse
import random
from models.distance import get_dist_func
# NOTE: g-score is the path cost.
# NOTE: f-score is the path cost + heuristic.
def heuristic(network, node, goal, dist_func):
"""
Heuristic function for estimating distance from specified node to ... | null | sp_astar.py | sp_astar.py | py | 8,431 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "numpy.inf",
"line_number": 92,
"usage_type": "attribute"
},
{
"api_name": "numpy.inf",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
... |
302299598 | # -*- coding: utf-8 -*-
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0004_event_photo_credit'),
]
operations = [
migrations.CreateModel(
name='Story',
fields=[
('id', models.AutoField(ve... | null | core/migrations/0005_story.py | 0005_story.py | py | 724 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 12,
"usage_type": "call"
},
... |
315187875 | #!install some modules all in one go
#
# Hi There!
# You may be wondering what this does. You should be able to work it out.
#
# Pip is a thing that installs packages, and you presumably want to install packages, so first run 'get-pip.py',
# then install the VCForPython library (from MS) and the then run this script
#... | null | qtlab_013/get-modules.py | get-modules.py | py | 709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pip.main",
"line_number": 14,
"usage_type": "call"
}
] |
633586309 | import requests
import bs4
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
# from bs4 import BeautifulSoup
my_url = "https://www.nasdaq.com/symbol/aapl/historical"
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()
page_soup = soup(page_html, "html.parser")
containe... | null | apple_stock.py | apple_stock.py | py | 1,444 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
}
] |
300744205 | import npyscreen as np
import curses
from flightrecorder.appbase.constants import *
from flightrecorder.forms.frconstants import *
from flightrecorder.appbase.frmbase import AppBaseActionFormV2
class QueryForm(AppBaseActionFormV2):
"""Base form for querying the flight recorder database"""
def create(self):
... | null | src/flightrecorder/forms/frquery.py | frquery.py | py | 8,101 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flightrecorder.appbase.frmbase.AppBaseActionFormV2",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "npyscreen.GridColTitles",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "curses.ascii",
"line_number": 15,
"usage_type": "attribute... |
411540031 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import configparser
from hermes_python.hermes import Hermes
from hermes_python.ffi.utils import MqttOptions
from hermes_python.ontology import *
from openhab import openHAB
import io
base_url = 'http://192.168.178.97:8080/rest'
openhab = openHAB(base_url)
MQTT_ADDR = "19... | null | action-light_on.py | action-light_on.py | py | 1,674 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "openhab.openHAB",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "configparser.SafeConfigParser",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "io.open",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "configpars... |
217945715 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 22 10:41:35 2017
@author: zander
"""
from scraper import scrape
from selenium import webdriver
import csv
import os
import re
from datetime import datetime
from functools import reduce
# This script runs each day. It starts by checking some log fi... | null | src/webscraper/fulton/reg_script.py | reg_script.py | py | 5,865 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
621800643 | """
Read in a pre-processed Fraud data-file and build a model
- load data
- separate into a Train and Valid set
- train a model ** MODEL 1 - Random Forest **
- predict against the Valid set, print basic accuracy day
- pickle model and save
"""
import argparse
import gc
import datetime
import numpy as np
import p... | null | train_model1.py | train_model1.py | py | 2,647 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "... |
5026294 | # uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build/bdist.linux-x86_64/egg/ditz/objects.py
# Compiled at: 2016-11-27 06:27:17
"""
Internal Ditz objects.
"""
import os, re, yaml, hashlib, random, six
from cer... | null | pycfiles/pyditz-0.10.3-py2.7/objects.py | objects.py | py | 12,562 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "yaml.YAMLObject",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "yaml.SafeLoader",
"lin... |
206510150 | import matplotlib
matplotlib.use('GTK3Agg')
import matplotlib.pyplot as plt
import xlrd
import csv
import pandas as pd
import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
class FileChooserWindow(Gtk.Window):
def __init__(self):
Gtk.Window.__init__(self, title="FileChooser Example")
... | null | simplechart.py | simplechart.py | py | 2,720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.Window",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "gi.repo... |
37689569 | # -*- coding: utf-8 -*-
__author__ = 'yjin'
from PyQt4 import QtGui, QtCore
from calculator import *
import style
class WidgetD(QtGui.QWidget):
SIZE = 60
MONTH_RANGES = {}
CHANGE_DAYS = {}
def __init__(self, parent=None):
super(WidgetD, self).__init__(parent)
palette = QtGui.QPalette(... | null | widget_d.py | widget_d.py | py | 5,281 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt4.QtGui.QWidget",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QPalette",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PyQt4.QtGui",... |
324867594 | #!/usr/bin/env python
#***************************************************************************/
#*
#* Copyright (c) 2007 Vonage Holdings Corp.
#* All rights reserved.
#*
#*
#***************************************************************************/
#
"""
"""
from vonage.... | null | security_key_validator/security_key_validator_common.py | security_key_validator_common.py | py | 3,607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vonage.dispatcher.handler.Handler.execute_query",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "vonage.dispatcher.handler.Handler",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 65,
"usage_type"... |
414259740 | from django.http.response import JsonResponse
from rest_framework.decorators import api_view
from .serializers import BookSerializer, CatalogueSerializer
from .models import Book, Catalogue
from rest_framework.parsers import JSONParser
from rest_framework import status
from drf_yasg.utils import swagger_auto_schema
@s... | null | django_library_management/management/views.py | views.py | py | 6,098 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Catalogue.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Catalogue.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Catalogue",
"line_number": 17,
"usage_type": "name"
},
{
"api_n... |
327783253 | # -*- coding: utf-8 -*-
import pandas as pd
import requests
from bs4 import BeautifulSoup
import re
import time
import datetime as dt
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def getDict():
url_list = ['https://cn.investing.com/indices/major-indices',
... | null | report/ReportData0602.py | ReportData0602.py | py | 20,769 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "re... |
516443205 | import numpy as np
from scipy.integrate import quad
from matplotlib import pyplot as plt
#DEFINE PARAMETERS
N = input('Pick the dimension of your basis, N = ')
V0 = input('Pick the amplitude of the periodic potential, V_0 = ')
a = 1.0
kmaxDa=1.0
vidd = range(1,int(N+1)) #To map elements to array/matrix
stepsize=100
... | null | Energy spectrum and probability density of an electron in a periodic potential/src/reiknistefja.py | reiknistefja.py | py | 2,850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sin",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.diag",
"line_number": 21,... |
110596859 | from django import forms
class SearchForm(forms.Form):
Search = forms.CharField(label='Search', max_length=100)
main_filters= (
('all', 'All'),
('images', 'Images'),
('audios', 'Audios'),
('videos', 'Videos'),
('documents', 'Documents'),
)
educationallevel_filters=(
('sel','Select Educ... | null | gliteapp/forms.py | forms.py | py | 3,310 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.Form",
"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.forms"... |
389029585 | # window.py
#
# MIT License
#
# Copyright (c) 2020 Andrey Maksimov <meamka@ya.ru>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the right... | null | norka/window.py | window.py | py | 16,220 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gi.repository.Gtk.ApplicationWindow",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "gi.repository.Gio.Settings",
"line_number": 42,
"usage_type": "attribute"
},... |
458423446 | # coding: utf-8
from __future__ import unicode_literals
from django.conf.urls import include, patterns, url
from django.contrib import admin
from .views import InvitationView, \
InvitationCompletedView, \
RequestAccessView, \
RequestAccessCompletedView, \
RedeemInvitationView
admin.autodiscover()
ur... | null | django_rocket/urls.py | urls.py | py | 903 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 15,
"usage_type": "call"
},
{
"... |
79886942 | import matplotlib.pyplot as plt
import string
import matplotlib.patches as mpatches
#class to hold the data:
class dstorage:
#input data:
Sales = []
TonsSold = []
COGS = []
MonthlyInv = []
OT = []
R=[]
RS = []
BT = []
Adjusts = []
#calculated from inputs:
ManHours = []
TonsPerManHour = []
COGT =[]
... | null | KBI_15month.py | KBI_15month.py | py | 3,622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 89,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.savefig",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": ... |
400104276 | """Main shim logic"""
import argparse
import functools
import os
import re
import subprocess
import sys
from typing import (
Callable,
Dict,
Hashable,
Iterator,
List,
Optional,
Sequence,
Set,
Tuple,
TypeVar,
Union,
)
import semver
from nvshim import __version__
from nvshim.... | null | src/nvshim/core/__main__.py | __main__.py | py | 14,992 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.TypeVar",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "typing.Hashable",
"line... |
91694145 | # import GPy
# import GPyOpt
# from numpy.random import seed
# import matplotlib
#
# def myf(x):
# return 2*x**2
#
# bounds = [{'name': 'var_1', 'type': 'continuous', 'domain': (-1, 1)}]
#
# max_iter = 10
#
# myProblem = GPyOpt.methods.BayesianOptimization(myf, bounds)
#
# myProblem.run_optimization(max_iter)
#
# p... | null | GPyOptFiles/GPyOptTest2.py | GPyOptTest2.py | py | 2,405 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "GPyOpt.objective_examples.experiments2d.rosenbrock",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "GPyOpt.objective_examples",
"line_number": 56,
"usage_type": "attrib... |
29103705 | """
检查一个在同一个平面上的力系是否处于静力平衡状态
python/black : true
flake8 : passed
mypy : passed
"""
from numpy import array, cos, sin, radians, cross # type: ignore
from typing import List
def 角坐标力(
力的大小: float, 角度: float, 弧度: bool = False
) -> List[float]:
"""
沿矩形分量分解力
(力的大小, 角度) => (x分量, y分量)
>>> 角坐标力(10, 45... | null | 算术代数分析/合力为零.py | 合力为零.py | py | 2,618 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.cos",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.radians",
"line_number": 27,
... |
339951443 | import json
import numpy as np
from tabulate import tabulate
import os
import matplotlib.pyplot as plt
#Source: Andy Keene - https://github.com/andy-keene/ML/blob/master/perceptron/helpers/helper.py
def print_matrix_as_table(file_name):
'''
Prints the confusion matrix of a json obj as a pretty table
Args:
... | null | generalutility.py | generalutility.py | py | 1,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tabulate.tabulate",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
353244724 | import numpy as np
import pandas as pd
import pickle
from matplotlib.colors import ListedColormap
from sklearn import svm
import matplotlib.pyplot as plt
from AdversaryM import AdversaryM
from oracles.train_oracles import Oracle
np.random.seed(2019)
n = 10
npl = 4
mpl = 3
budget = 40
filename = '../oracles/oracle_s... | null | example/moons.py | moons.py | py | 2,657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVC",
... |
551889267 | import json
import os
import sys
from io import StringIO
import pandas as pd
from environs import Env
from flask import jsonify, request
from pandas.io.json import json_normalize
from .ETL.extract import Extract
from .ETL.load import Speed, Activity, Activity_Test, db, app, Persist
from .ETL.transform import Transfor... | null | flask-on-docker (copy)/services/web/project/__init__.py | __init__.py | py | 2,019 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "environs.Env",
"line_numb... |
152457295 | import re
from collections import Counter
import matplotlib.pyplot as plt
def translate_from_dna_to_rna(dna: str) -> str:
"""Function translate DNA sequence to RNA sequence """
base_complement = {'C': 'G', 'G': 'C', 'T': 'A', 'A': 'U'}
rna = ''
for nucleobase in dna:
rna += base_complement[nuc... | null | 01-Data-Structures/carrots/carrots.py | carrots.py | py | 3,122 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.findall",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
191622091 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
creating the dataset
"""
# import tensorflow as tf
# from tensorflow.keras.models import Sequential, load_model
# from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D
# from tensorflow.keras.callbacks import EarlyStopping, Mo... | null | LICENSE.md/classification/FC_DNN/NN_v2.py | NN_v2.py | py | 5,320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "timeit.default_timer",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"... |
472590371 | import cv2 as cv
import numpy as np
import pandas as pd
import os
import util
import random
# params for ShimTomasi corner detection
feature_params = dict( maxCorners = 100,
qualityLevel = 0.3,
minDistance = 7,
blockSize = 7 )
# params for Lucas Kan... | null | feature_extractor.py | feature_extractor.py | py | 4,862 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.TERM_CRITERIA_COUNT",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
65088885 | """
The plasma dispersion function
==============================
Let's import some basics (and `PlasmaPy`!)
"""
import numpy as np
import matplotlib.pyplot as plt
#######################################################################
import plasmapy.formulary.dispersionfunction
help(plasmapy.formulary.dispersion... | null | plasmapy/examples/plot_dispersion_function.py | plot_dispersion_function.py | py | 3,239 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "plasmapy.formulary.dispersionfunction.formulary",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "plasmapy.formulary.dispersionfunction",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 21,
"usage_typ... |
649643838 | # _*_ coding: utf-8
import os
import datetime
import uuid
import json
import tornado.gen
import tornado.concurrent
from app.api.html_common import HtmlHandler
from app.api.view_common import CommonHandler
from app.configs import configs
from app.common.forms import AccountAddForm, LoginForm
from werkzeug.security impor... | null | app/userInfo/view_account.py | view_account.py | py | 5,331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "app.api.view_common.CommonHandler",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tornado.gen.gen",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tornado.gen",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os... |
610719895 | # Time: O(n)
# Space: O(1)
# a ^ 0 = a, a ^ a = 0
# a ^ b = (a & !b) || (!a & b)
# a's 1 is b's 0 a's 0 is b's 1
# 137
# Given an array of integers, every element appears three times except for one. Find that single one.
#
# Note:
# Your algorithm should have a linear runtime complexity. Could you implement it... | null | Python/single-number-ii.py | single-number-ii.py | py | 3,860 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 48,
"usage_type": "call"
}
] |
230505719 | from typing import List
import numpy as np
import pandas as pd
def prep_data4eval(gt_df: pd.DataFrame, pred_df: pd.DataFrame) -> List:
merged_df = pd.merge(
gt_df, pred_df, on=["query", "top_n"], how="left", suffixes=["_gt", "_pred"]
)
merged_df.drop(
index=merged_df[merged_df["text_page_... | null | other/evaluation.py | evaluation.py | py | 1,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.merge",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_n... |
427478775 | import os
import PySide.QtGui as QtGui
import PySide.QtCore as QtCore
from Utils import ftrack_utils2
import maya.cmds as cmds
class ReferenceGUI(QtGui.QWidget):
def __init__(self, parent=None):
QtGui.QWidget.__init__(self, parent)
self.setWindowTitle('Reference UI')
self.setLayout(QtGui.... | null | maya/scripts/python/layout/reference_gui.py | reference_gui.py | py | 7,437 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PySide.QtGui.QWidget",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PySide.QtGui",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PySide.QtGui.QWidget.__init__",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Py... |
163831447 | import bpy, textwrap, os, sys
from .. import fountain
from pathlib import Path
class SCREENWRITER_OT_preview_fountain(bpy.types.Operator):
'''Updates the preview'''
bl_idname = "scene.preview_fountain"
bl_label = "Refresh"
@classmethod
def poll(cls, context):
space = bpy.context.space_dat... | null | operators/preview_fountain.py | preview_fountain.py | py | 7,655 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bpy.types",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "bpy.context",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"l... |
305165207 | import onmt.transforms.bpe as bpe
import argparse
from tqdm import tqdm
parser = argparse.ArgumentParser()
parser.add_argument('--file', type=str, required=True)
parser.add_argument('--table', type=str, required=True,
help='Path to merge table')
parser.add_argument('--target', type=str, default... | null | onmt/tokenize_text.py | tokenize_text.py | py | 908 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "onmt.transforms.bpe.load_subword_nmt_table",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "onmt.transforms.bpe",
"line_number": 14,
"usage_type": "name"
},
{
... |
537969311 | import os, sys, subprocess
import xml.etree.ElementTree as ET
from xml.dom import minidom
import CompilationEngine
from Tokenizer import Tokenizer
class JackAnalyzer():
def __init__(self):
pass
def read_file_or_dir(self, path):
if os.path.isdir(path):
for filename in os.li... | null | projects/10/JackAnalyzer/JackAnalyzer.py | JackAnalyzer.py | py | 5,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.isdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number... |
587135229 | from keras.layers.convolutional import Conv2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization
from keras.layers import Activation, Flatten, Dropout, Dense, GlobalAveragePooling2D
from keras.models import Sequential, load_model
from keras.optimizers import Adam
import tensorflow as tf
import ker... | null | agent_model.py | agent_model.py | py | 5,058 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.callbacks.TensorBoard",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "tensorflow.summary.FileWriter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.summary",
"line_number": 23,
"usage_type": "attribute"
},
{
... |
232051255 | from collections import defaultdict
import networkx as nx
from time import time
uBound = 100000000
LEN = 9
def seive(N):
A = [True]*(N+1)
i = 2
while i*i < N:
if A[i]:
j = 2*i
while j <= N:
A[j] = False
j += i
i += 1
pDict = default... | null | 51-100/problem060/60.py | 60.py | py | 1,117 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
"lin... |
466359634 | #!/usr/bin/env python
"""xrandr dmenu script.
Add dmenu formatting options and default terminal if desired to
~/.config/xrandr-dmenu/config.ini
"""
import itertools
import locale
import os
import shlex
import sys
import re
from os.path import expanduser
from collections import OrderedDict
from subprocess import Popen... | null | xrandr-dmenu.py | xrandr-dmenu.py | py | 9,152 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.copy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "locale.getpreferredencoding",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ConfigPar... |
545557243 | from model import create_model
from model import test_predictions
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from pandas import DataFrame
data = "SPY-5-years.csv"
model = create_model(data)
predictions, etf_prices = test_predictions(model,"SPY.csv")
p_list = predictions.tolist()
balance = 10... | null | Main.py | Main.py | py | 1,277 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "model.create_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "model.test_predictions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "matplo... |
277601844 | #!/usr/bin/env python
##############################################################################
#
# Copyright (c) 2009-2010 Nexedi SA and Contributors. All Rights Reserved.
# Gabriel M. Monnerat <gabriel@tiolive.com>
#
# WARNING: This program as such is intended to be used by professional
# prog... | null | cloudooo/handler/ooo/helper/unoconverter.py | unoconverter.py | py | 14,123 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "com.sun.star.beans.PropertyValue",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "com.sun.star.beans.PropertyValue",
"line_number": 102,
"usage_type": "call"
},
{
... |
153949547 | from bs4 import BeautifulSoup
from pprint import *
import requests
import json
def rem_end_alpa(s):
index = len(s)
rm_index = 0
while str.isalpha(s[index-1]):
rm_index += 1
index -= 1
return s[:-rm_index]
def get_courses(url):
r = requests.get(url)
html = r.content
soup = BeautifulSoup(html,'html.pars... | null | backend_scripts/universities_scrapes/UB/UB_scrape.py | UB_scrape.py | py | 2,648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
562271245 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from bs4 import BeautifulSoup
import requests
# In[2]:
def pass_url(url):
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.71 Safari/537.36'}
# In[3]:
# In[4]:
r = ... | null | main/scrappers/AMAZON_SCRAPPER.py | AMAZON_SCRAPPER.py | py | 940 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
}
] |
155572277 | #!/usr/bin/env python
# stdlib imports
import sqlite3
from xml.dom import minidom
import os.path
import sys
import copy
import time
# third party imports
import pandas as pd
import numpy as np
from openquake.hazardlib import imt as GEM_IMT
# local imports
from shakemap.grind.gmice.wgrw12 import WGRW12
from .distance... | null | shakemap/grind/station.py | station.py | py | 16,288 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.isnan",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parse",
"line_number": 136,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 136,
"usage_type": "name"
},
{
"api_name": "xml.dom.minidom.D... |
532019835 | import requests
import time
import random
import string
spread_list = ['Fluids', 'Touch', 'Air']
while(1):
disease_name = ''.join([random.choice(string.ascii_lowercase) for n in xrange(5)])
spread = spread_list[random.randint(0,2)]
url_get = 'http://130.211.234.22:80/person'
#url_get = 'htt... | null | sensors/disease_creator.py | disease_creator.py | py | 1,084 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.choice",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.get",... |
354484867 | """Initialization of the Web App"""
import json
import flask
from flask_httpauth import HTTPTokenAuth
from flask_sqlalchemy import SQLAlchemy
# from flask_wtf.csrf import CSRFProtect
with open('config.json') as f:
CONFIG_INFO = json.load(f)
DATABASE_URI = (
'mysql+pymysql://' +
CONFIG_INFO['database']['us... | null | nintendb/__init__.py | __init__.py | py | 1,151 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask_httpauth.HTTPTokenAuth",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQ... |
638757933 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
from odoo.exceptions import UserError
import logging
# El modelo 'sinc_bigcommerce.base' define varios métodos que son utilizados por varios modelos del módulo de sincronización.
# Esta clase está diseñada para ser heredada por otros modelos, y no para crea... | null | models/base.py | base.py | py | 7,112 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.AbstractModel",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "logging.warn",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "logging.warn",... |
469254677 | import argparse
import datetime
import gc
import glob
import logging
import os
import pickle
from datetime import timedelta
from functools import partial
from multiprocessing import (
JoinableQueue,
Pool,
Process,
Queue,
RLock,
cpu_count,
current_process,
set_start_method,
)
from pathlib... | null | bucky/postprocess.py | postprocess.py | py | 12,861 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "util.read_config.bucky_cfg",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "os.path"... |
613368378 | import pymysql
# =============================================================================
# Connection helper functios
# =============================================================================
#
# Connect to the database
# params: database name
#
def connect_db(database=None):
print('Checking... | null | MySQL/db_utils.py | db_utils.py | py | 9,072 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymysql.connect",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pymysql.Error",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "pymysql.conne... |
582784991 | import tkinter as tk
from tkinter import filedialog
import configparser
# configparserのインスタンス化
config = configparser.ConfigParser()
# 読込むiniファイルを指定
config.read("./config.ini")
##### 関数 #####
# ファイルパスの取得
def get_path():
# グローバル変数
global file_path
typ = [("Text","*.txt")]
file_path = fil... | null | save.py | save.py | py | 862 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 16,
"usage_type": "name"
},
{
"ap... |
19620249 | import csv
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import time
import pandas as pd
with open("fes_arduino1.csv", "w") as saida:
f = csv.writer(saida)
f.writerow('Bem vindo a sessão de estimulação elétrica funcional - Neurobots')
def acionarFes():
#rele = low #abre o circuito ... | null | Mouhamed/Atividades/Atividade 10/final_semClasse.py | final_semClasse.py | py | 2,434 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.writer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"lin... |
96862348 | import requests
import re
import execjs
def get_url(url):
headers = {
'Referer': url,
'User-Agent': 'Mozilla/5.0 (Linux; Android 4.4.2; Nexus 4 Build/KOT49H) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/34.0.1847.114 Mobile Safari/537.36'
}
html = requests.get(url,headers=headers).text
... | null | 军火库/MOM.py | MOM.py | py | 3,320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": ... |
594178378 | import string
import os.path
import json
def read_ints(): return map(int, input().strip().split())
def is_complete(s):
return all(d in s for d in string.digits)
def preprocess():
answers = {}
for num in range(10**6 + 1):
answers[num] = calc_ans(num)
return answers
def save(answers):
... | null | codes/CodeJamCrawler/16_0_1_neat/16_0_1_luszczyk_a_brute.py | 16_0_1_luszczyk_a_brute.py | py | 1,205 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "string.digits",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.dump",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.path.exists",
"lin... |
323810098 | import pytest
import tensorflow as tf
from doctr.models import backbones
@pytest.mark.parametrize(
"arch_name, top_implemented, input_shape, output_size",
[
["vgg16_bn", False, (224, 224, 3), (7, 56, 512)],
["resnet31", False, (32, 128, 3), (4, 32, 512)],
["mobilenet_v3_small", False,... | null | tests/tensorflow/test_models_backbones_tf.py | test_models_backbones_tf.py | py | 901 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "doctr.models.backbones.__dict__",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "doctr.models.backbones",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tensorflow.random.uniform",
"line_number": 21,
"usage_type": "call"
},
{
... |
634638802 |
from suds.client import Client
test_client = Client('http://localhost:8000/?wsdl')
print(test_client)
event = test_client.factory.create('ns0:Event')
event.name = "Biji"
event.location = "Jakarta"
event.partner_id = 1
event.start_at = 2
event.end_at = 3
event.description = "Festival Biji Jakarta"
section_array = te... | null | ticket-service-gateway/client.py | client.py | py | 627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "suds.client.Client",
"line_number": 4,
"usage_type": "call"
}
] |
503248725 | from netmiko import ConnectHandler
from netmiko.ssh_exception import NetMikoTimeoutException
from netmiko.ssh_exception import NetMikoAuthenticationException
from paramiko.ssh_exception import SSHException
from rtr_inventory import routers, loopbacks
def addLoopback():
for devicelist, ips in zip(routers, loopback... | null | option3.py | option3.py | py | 1,144 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rtr_inventory.routers",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "rtr_inventory.loopbacks",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "netmiko.ConnectHandler",
"line_number": 11,
"usage_type": "call"
},
{
"api_na... |
321318383 | from django.forms import Form, ModelForm, BooleanField, RadioSelect, HiddenInput
from game.models import Kind, Opponent, Player, Round, Question, Option, Answer
class OfferAcceptanceForm(ModelForm):
class Meta:
model = Round
fields = ['accepted', 'time_elapsed']
widgets = { 'accepted': Rad... | null | game/forms.py | forms.py | py | 1,102 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "game.models.Round",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.forms.RadioSelect",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django... |
468293351 | # OLD NAIVE METHOD TO CONVERT MIDIS TO IMAGES
# DO NOT USE AS IT TAKES TOO LONG, SAMPLING IS NAIVE (UNIFORMLY DISTRIBUTED)
from music21 import converter, instrument, note, chord
import json
import sys
import numpy as np
import os
from imageio import imwrite
def extractNote(element):
return int(element.pitch.ps)
... | null | data_utils/_convert_to_image.py | _convert_to_image.py | py | 4,362 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "music21.note.Note",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "music21.note",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "music21.chord.Chord",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "music21.... |
577139153 | import datetime
import unittest
from django.test import TestCase
from django.utils import timezone
from django.urls import reverse
from django.urls import resolve
from polls.models import Question, Choice
from django.test import Client
from model_mommy import mommy
from model_mommy.recipe import Recipe, foreign_key
fro... | null | polls/tests.py | tests.py | py | 7,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "... |
250971869 | from django.conf.urls import patterns, url
from .views import NewListView, ViewAndAddToList
urlpatterns = patterns('',
url(r'^(?P<pk>\d+)/$', ViewAndAddToList.as_view(), name='view_list'),
url(r'^(?P<email>.*)/new/$', NewListView.as_view(), name='new_list'),
... | null | superlists/lists/urls.py | urls.py | py | 489 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.ViewAndAddToList.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"api_na... |
19534582 | import bpy
import os
import shutil
import json
class UIBrowser(bpy.types.Panel):
bl_label = 'Browser'
bl_space_type = 'CLIP_EDITOR'
bl_region_type = 'TOOLS'
bl_category = 'Browser'
def draw(self, context):
wm = context.window_manager
layout = self.layout
col = layout.colum... | null | scripts/startup/bl_app_templates_user/sequence_player/ui.py | ui.py | py | 5,129 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bpy.types",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number... |
231746089 | from django.contrib import admin
from django.urls import path ,include,re_path
from myapp.views import*
app_name = 'myapp'
urlpatterns = [
#注册
path('register/',register,name = 'register'),
path('email/',emails),
path('registering/',registering),
#首页
path('index/',index,name = 'index'),
... | null | myblog/myapp/urls.py | urls.py | py | 659 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
652323986 | import requests
from pprint import pformat
from jinja2 import StrictUndefined
import os
from flask import Flask, render_template, request, flash, redirect, session, jsonify
from flask_debugtoolbar import DebugToolbarExtension
from model import connect_to_db, db, User, Therapist, Favorite
# from seed import Faker
a... | null | project.py | project.py | py | 5,589 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jinja2.StrictUndefined",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
142621822 | from . import base_api_core
import os
import requests
class Certificate(base_api_core.Core):
def __init__(self, ip_address, port, username, password, secure=False, cert_verify=False):
super(Certificate, self).__init__(ip_address, port, username, password, secure, cert_verify)
def list_cert(self):
... | null | synology_api/core_certificate.py | core_certificate.py | py | 2,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.basename",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
323488578 | """ This module prepares midi file data and feeds it to the neural
network for training """
import glob
import pickle
import numpy
from music21 import converter, instrument, note, chord, corpus
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers impo... | null | lstmDurations.py | lstmDurations.py | py | 4,440 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "music21.converter.parse",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "music21.converter",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "music21.instrumen... |
466899751 | from django.urls import path
from estate import views
app_name = 'estate'
urlpatterns = [
path('index/<int:user_pk>/', views.index, name='index'),
path('actions/<int:user_pk>/', views.actions, name='actions'),
path('new-land/<int:user_pk>/', views.new_land, name='new-land'),
path('edit-land/<int:land_p... | null | estate/urls.py | urls.py | py | 1,709 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "estate.views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "estate.views",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.urls.path",... |
491745105 | # _*_ coding:utf-8 _*_
# モジュールのインポート
from bottle import route,run,template,request,get,post
# http://localhost:8080/show_query
@route('/show_query')
def show_query():
# クエリパラメータを取得
keyword = request.query.keyword
return template('keyword={{keyword}}',keyword=keyword)
# http://localhost:8080/show_form
@ro... | null | list6.py | list6.py | py | 898 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bottle.request.query",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bottle.request",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "bottle.template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bottle.route... |
412485762 | from backend import logger, app, db
import models
from flask import Flask, flash, redirect, url_for, request, render_template, g, abort
from flask.ext.admin import Admin, expose, BaseView, AdminIndexView, helpers
from flask.ext.admin.model.template import macro
from flask.ext.admin.contrib.sqla import ModelView
from fl... | null | backend/admin.py | admin.py | py | 13,021 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "backend.app.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "backend.app",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "backend.app.config",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "backend.a... |
290454200 | import discord
code_reponse = ['🇦', '🇧', '🇨', '🇩']
def phase2_embed(choice):
embed = discord.Embed(colour=discord.Colour(0x0000ff))
for i in range(len(choice)):
embed.add_field(name=code_reponse[i],
value=choice[i][0],
inline=False
... | null | discord/message_style.py | message_style.py | py | 363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.Embed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.Colour",
"line_number": 6,
"usage_type": "call"
}
] |
210193016 | """A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/pabuproject
"""
from setuptools import setup, find_packages
from os import path, walk
import sys
import argparse
# All functions
def traverse_dir(dir_name):
output = []
for root, subdirs,... | null | cat6/setup.py | setup.py | py | 1,306 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.walk",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
... |
285539311 | from typing import List
from enum import Enum
import operator
class State(Enum):
FLOOR = 1
EMPTY = 2
OCCUPIED = 3
def __repr__(self):
if self.value == self.FLOOR.value:
return '.'
elif self.value == self.OCCUPIED.value:
return '#'
else:
retur... | null | Chris/Day11/hodges_day11.py | hodges_day11.py | py | 3,532 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 45,
... |
116500240 | import numpy as np
from typing import Any, List
from ray.rllib.connectors.connector import (
ConnectorContext,
AgentConnector,
register_connector,
)
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.typing import AgentConnectorDa... | null | rllib/connectors/agent/clip_reward.py | clip_reward.py | py | 1,663 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ray.rllib.connectors.connector.AgentConnector",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ray.rllib.connectors.connector.ConnectorContext",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "ray.rllib.utils.typing.AgentConnectorDataType",
... |
554026814 | # Documentación de acceso a HDFS desde Python3
# https://readthedocs.org/projects/hdfs3/downloads/pdf/latest/
import hdfs3
from collections import defaultdict, Counter
#Conexión a HDFS
# revisar la configuración del docker-compose.yml
# este es el puerto rpc del namenode de hadoop
# por defecto 8020 en la versión 2.7
... | null | 01_connect_hdfs.py | 01_connect_hdfs.py | py | 5,298 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hdfs3.HDFileSystem",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 124,
"usage_type": "call"
}
] |
266752863 |
from flask.ext.login import LoginManager, UserMixin
from flask.ext.sqlalchemy import SQLAlchemy
from sqlalchemy.dialects.postgresql import JSON
from sqlalchemy import desc
db = SQLAlchemy()
class Comment(db.Model):
"""
A comment from an API
comment_thread refers to a comment thread, and then the place_in... | null | models.py | models.py | py | 1,908 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.ext.sqlalchemy.SQLAlchemy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.ext.login.UserMixin",
"line_number": 44,
"usage_type": "name"
}
] |
201230939 | import numpy as np
import cv2 as cv
try:
# lock devices
cap0 = cv.VideoCapture('/dev/video6')
#cap1 = cv.VideoCapture('/dev/video7')
# detect if connection was establish sucessfully
if not cap0.isOpened(): #or not cap1.isOpened():
print('[ERROR] Cannot open camera stream.')
rai... | null | test/camera/codeSnipplets/captureVideo.py | captureVideo.py | py | 1,044 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"l... |
250323159 | import os
from django.db import models
from django.urls import reverse
from django.core.files.storage import FileSystemStorage
from django.core.validators import MinValueValidator, MaxValueValidator, validate_email
from django.conf import settings
from django.contrib.auth.models import User
from ckeditor.fields import ... | null | YuLung/models.py | models.py | py | 3,697 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.files.storage.FileSystemStorage",
"line_number": 11,
"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": ... |
34202353 | import cv2
import numpy as np
from easycv.validators import Number, Option
from easycv.transforms.base import Transform
from easycv.transforms.color import GrayScale
class Gradient(Transform):
"""
Gradient is a transform that computes the gradient of an image.
:param axis: Axis to compute, defaults to "... | null | easycv/transforms/edges.py | edges.py | py | 2,953 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "easycv.transforms.base.Transform",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "easycv.validators.Option",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "easycv.validators.Number",
"line_number": 26,
"usage_type": "call"
},
{
... |
276407392 | from typing import List
from core.models.GearModels import Gear
from core.models.MemberModels import Member
from django.contrib import messages
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exceptions import ValidationError
from django.shortcuts import redirect, render
from django.views im... | null | kiosk/views.py | views.py | py | 4,147 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 14,
"usage_typ... |
542739985 | # Internal imports
from cycler import cycler
# External imports
import numpy as np
import matplotlib.pyplot as plt
# Set plot params
plt.rc('font', size=16) # controls default text sizes
plt.rc('axes', titlesize=16) # fontsize of the axes title
plt.rc('axes', labelsize=16) # fontsize of the x and y l... | null | SNU/introduction_to_atomistic_simulations_of_nuclear_materials/example16-thermal_covductivity_ar_green_kubo/analyzer.py | analyzer.py | py | 4,241 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
255893105 | #! /usr/bin/python
# -*- coding: utf-8 -*-
# Author: Wenyuan Wu, 18746867
# Date: 03.03.2020
# Additional Info:
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
from scipy.cluster.hierarchy import dendrogram, linkage, fcluster
from sklearn.cluster import KMeans
from sklearn.decomp... | null | helper_functions.py | helper_functions.py | py | 7,432 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.cluster.hierarchy.linkage",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 73,
"usage_type": "name"
},
{
"api_... |
176647588 | # -*- coding: utf-8 -*-
import urllib2
import re
import StringIO
import base64
from HTMLParser import HTMLParser
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdftypes import resolve1
from xmp import xmp_to_dict
from neo4jrestclient.client import GraphDatabase
from ... | null | fda-docs-ix.py | fda-docs-ix.py | py | 6,506 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pdfminer.pdfparser.PDFParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pdfminer.pdfdocument.PDFDocument",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "xmp.xmp_to_dict",
"line_number": 33,
"usage_type": "call"
},
{
"api... |
185927141 | """
Insight Data Engineering SEA'19C
Project: Traffic Control of API source
"""
from private_twitter_authentication_config import SystemDesignerCredentials
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
from tweepy.api import API
import loggi... | null | TestTwitterAPI/stream_listener.py | stream_listener.py | py | 10,168 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.debug",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "private_twitter_... |
301843384 | from flask import Flask,render_template,request
import os
import pyodbc
import random
import redis
import time
import hashlib
from json import loads, dumps
app = Flask(__name__)
myHostname = "vijayazure.redis.cache.windows.net"
myPassword = "eGWbQ9K6RpbnGvMeGkpeylVnGwgXb4Rp6LjqTOcC9tE="
r = redis.StrictRedis(host=... | null | application.py | application.py | py | 10,568 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "redis.StrictRedis",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyodbc.connect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_nu... |
473453856 |
from collections import OrderedDict
def backtrack(board, row, col, word, visited):
if word == "":
return True
directions = [[-1, -1],[-1,0],[-1,1], [0,1], [1,1],[1,0],[1,-1],[0,-1]]
wl = list(word)
w = wl.pop(0)
if w and w != board[row][col] or (row,col) in visited:
return Fa... | null | interviewPractice/wordBoggle.py | wordBoggle.py | py | 1,157 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 30,
"usage_type": "call"
}
] |
526848525 | #!/usr/bin/env python
from itertools import cycle
import os
from time import sleep
import cv2
from fire import Fire
import numpy as np
from scipy.misc import imresize
import tensorflow as tf
from adain.image import load_image, prepare_image
from adain.coral import coral
from adain.nn import build_vgg, build_decoder
f... | null | test_cam.py | test_cam.py | py | 8,886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Graph",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "video.WebcamVideoStr... |
545849214 | import os
from utils.extract_frames import process_video as process_video
import numpy as np
import tensorflow as tf
import cv2
from Net import c3d_model
from sklearn.preprocessing import Normalizer
from scipy.io import loadmat
from keras.models import model_from_json
from math import factorial
import numpy.matlib
imp... | null | utils/get_c3d_feature.py | get_c3d_feature.py | py | 8,462 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.app",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.shap... |
432626946 | """
================================================================================
[ Toufyx ] base.py
base class for the models
================================================================================
"""
import datetime
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy im... | null | troupadour/models/base.py | base.py | py | 1,848 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.Column",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.ext.declarative.declared_attr",
"line_number": 19,
"usage_type": "name"
},
{
... |
273228178 | import requests
import pygal
from pygal.style import LightColorizedStyle as LCS, LightenStyle as LS
url = 'https://api.github.com/search/repositories?q=language:ruby&sort=stars'
r = requests.get(url)
print("Status code:", r.status_code)
# API returns the info in a json format, so we use the json method to convert
# th... | null | ruby_repos.py | ruby_repos.py | py | 2,823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygal.style.LightenStyle",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pygal.style.LightColorizedStyle",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "... |
35831752 | import os
# os.environ["CUDA_VISIBLE_DEVICES"]="2"
try:
os.mkdir('./saves')
except:
pass
import numpy as np
import matplotlib
matplotlib.use('Agg')
import math
from data_generators import PermutedMnistGenerator, SplitMnistGenerator, NotMnistGenerator, FashionMnistGenerator
from ibpbcl import IBP_BCL
import torc... | null | npbcl_not.py | npbcl_not.py | py | 862 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.mkdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line... |
386561011 | from typing import List
class Solution:
def singleNumber(self, nums: List[int]) -> int:
x = nums[0]
for i in range(1, len(nums)):
x = x ^ nums[i]
return x
s = Solution()
print(s.singleNumber([2, 2, 1]))
| null | leetcode_python/136. 只出现一次的数字.py | 136. 只出现一次的数字.py | py | 247 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
93240329 | #!/usr/bin/python3
"""Distributes"""
import os
from fabric.operations import local, run, put, env
from datetime import datetime
env.hosts = ['34.75.76.240', '35.229.102.53']
def do_deploy(archive_path):
"""Deploys"""
if not os.path.exists(archive_path):
return False
name = archive_path.split(... | null | 2-do_deploy_web_static.py | 2-do_deploy_web_static.py | py | 743 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fabric.operations.env.hosts",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "fabric.operations.env",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "o... |
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