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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
170849544 | from django.views.generic import TemplateView
from LiutaioDiLeo import settings_dev as settings
# from LiutaioDiLeo import settings
from showcase.apps import ShowcaseConfig
class BaseMixin(TemplateView):
def get_context_data(self, **kwargs):
context = super(BaseMixin, self).get_context_data()
cont... | null | showcase/mixins.py | mixins.py | py | 3,420 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "showcase.apps.ShowcaseConfig.name",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "showcase.apps.ShowcaseConfig",
"line_number": 15,
"usage_type": "... |
575193652 | import argparse # for parsing arguments
import serial # for reading from serial/usb port
import os # for opening files
import signal # for catching ctrl+c
import sys # for catching ctrl+c
import time # for sleep
from datetime import datetime # for storing timestamps
BAUDR... | null | usbtemp.py | usbtemp.py | py | 3,045 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number":... |
362055817 | from pytest学习过程与作业.pytest01.Calculator import Calculator
import pytest
import yaml
def get_add_datas():
try:
with open("./datas/data_add.yaml", encoding='utf-8')as f:
datas = yaml.safe_load(f)
return datas
# safe_load(stram),传入的是文件流，所以将打开的yam文件流传入；
# 目的就是将y... | null | pytest学习过程与作业/pytest01/test_add.py | test_add.py | py | 3,063 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yaml.safe_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"li... |
593904811 | #-*-coding:utf-8-*-
from aip import AipImageClassify
import os.path
from aip import AipOcr
from urllib import request
from bs4 import BeautifulSoup
from urllib.parse import quote
import string
import numpy as np
import os,shutil
from wxpy import *
from aip import AipFace
import base64
import shutil
import... | null | wechat3.3.py | wechat3.3.py | py | 12,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "aip.AipImageClassify",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "aip.AipOcr",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "aip.AipFace",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"l... |
372114559 | from random import randint, choice
from argparse import ArgumentParser
from sys import exit
from sortalgos.insertsort import insertion
from sortalgos.selsort import selection
from sortalgos.qsort import quicksort
from sortalgos.msort import mergesort
from sortalgos.radixsort import radixsort
parser = ArgumentParser()
... | null | clisort.py | clisort.py | py | 1,640 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_... |
244258760 | import torch
import torch.nn as nn
import math
import torch.nn.functional as F
class PositionalEncoding(nn.Module):
def __init__(self, d_model, dropout=0.1, max_len=5000):
super(PositionalEncoding, self).__init__()
self.dropout = nn.Dropout(p=dropout)
self.scale = nn.Parameter(torch.ones(1)... | null | experiments_transformers/transformerDecoderConvPytorch.py | transformerDecoderConvPytorch.py | py | 5,649 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
425066921 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 30 14:30:17 2019
@author: jannett chabbeh
"""
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 29 22:37:00 2019
@author: jannett chabbeh
"""
import pymongo
import math
import numpy as np
import matplotlib.pyplot as plt
from sklearn.svm import SVR
from... | null | algorithmes/svr2.py | svr2.py | py | 1,814 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVR",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
351954599 | import sys
import os
import random
import string
import click
from pyflow import WorkflowRunner
class PreAnalyzer(WorkflowRunner):
def __init__(self, run_dp):
self.run_dp = run_dp
def workflow(self):
""" method invoked on class instance run call """
self.addTask("test",
... | null | omics_shotgun/src/preanalysis.py | preanalysis.py | py | 1,065 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyflow.WorkflowRunner",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "string.ascii_uppercase",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "string... |
141992550 | import socket
import random
import pickle
import sys
import os
import time
import gc
import csv
import math
import torch
import numpy as np
from collections import defaultdict
from beta_CROWN_solver import LiRPAConvNet, set_mip_refine_timeout
from batch_branch_and_bound import relu_bab_parallel
from utils import *
fro... | null | src/bab_verification_general.py | bab_verification_general.py | py | 30,436 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arguments.common_argparser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "beta_CROWN_solver.set_mip_refine_timeout",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 54,
"usage_type": "call"
},
{
"a... |
176165713 | """
:mod:`runinfo` -- RunInfo
======================================================
.. module:: runinfo
:synopsis: RunInfo and Related Elements
.. moduleauthor: Ahmad Barghout <abarghou@cisco.com> Jean-Benoit Aubin <jeaubin@cisco.com>
This module contains the RunInfo class that is used by several AEReport
e... | null | lib/python3.7/site-packages/pyats/aereport/runinfo/__init__.py | __init__.py | py | 4,559 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyats.aereport.toplevel.aereportelement.AEReportElement",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "pyats.aereport.toplevel.simplelist.SimpleList",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "pyats.aereport.toplevel.simplelist.SimpleLi... |
593006663 | # For training parameters SG_winlen and SG_order
import inspect
import fit
import signal
import multiprocessing as mpc
import numpy as np
def init_worker():
signal.signal(signal.SIGINT, signal.SIG_IGN)
## Counts number of continuous trailing '1's
# Used in the convergence criteria
#
# params
... | null | modules/optimizer.py | optimizer.py | py | 12,941 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "signal.signal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "signal.SIGINT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "signal.SIG_IGN",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
... |
127396459 | import numpy as np
import matplotlib.pyplot as plt
N = 10000
M = 50
F = np.zeros([N,M]) # Nested list with M microstates for N systems
S = np.zeros(N) # List with all sums. The sum is number of S+
P = np.zeros(M) # List of sums sorted
for i in range(N):
for j in range(M):
F[i,j]... | null | FYS2160/Oblig1/oblig1m.py | oblig1m.py | py | 1,266 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.random",
"line_numb... |
281564780 | from func import *
from const import *
from param import *
import sys, pygame
class groupe:
def __init__(self,screen, nbPers):
self.screen = screen
self.Arial = pygame.font.SysFont("Arial", 15)
self.pos = origin
self.velo = False
i=0
self.nbPers = nbPers
self... | null | 1.1/personne.py | personne.py | py | 4,987 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.font.SysFont",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
467514904 | import unittest
import json
from main import json_parser
class JsonParserTestCase(unittest.TestCase):
def test_get_class_id_from_perfectgym_classess_list(self):
file = open('parser_test_data')
json_test_data = json.loads(file.read())
file.close()
classDetails = {
"c... | null | tests/json_parser_test.py | json_parser_test.py | py | 926 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "main.json_parser.get_class_id_from_perfectgym_classess_list",
"line_number": 23,
"usage_type": "call"
... |
618539244 | ###################################
# 请根据需求自己补充头文件、函数体输入参数。
import numpy as np
import math
import torch
import torch.nn.functional as F
###################################
# 2 Vectorization
###################################
def vectorize_sumproducts(array1_1, array1_2):
"""
Takes two 1-dim... | null | hw0/homework_0.py | homework_0.py | py | 5,601 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.sum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27... |
387390975 | #!/usr/bin/env python2
# coding: utf-8
# vim: set ts=4 sw=4 expandtab sts=4:
# Copyright (c) 2011-2014 Christian Geier & contributors
#
# 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... | null | khal/calendar_display.py | calendar_display.py | py | 6,497 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date.isocalendar",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "khal.aux.rstring",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "datetim... |
168656411 | from django.core.exceptions import ImproperlyConfigured
from django.core.urlresolvers import reverse, reverse_lazy
from django.http import HttpResponseRedirect
from django.shortcuts import render, render_to_response
from django.template import RequestContext
from django.views.generic import TemplateView, View, UpdateVi... | null | apps/behaviors/views.py | views.py | py | 5,566 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "apps.accounts.mixins.LoginRequiredMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "apps.behaviors.models.Behavior.objects.all",
"line_number": 21,
... |
234969914 | import scipy as sp
from scipy.signal import resample
import matplotlib.pyplot as plt
import sys
sys.path.insert(0,'..')
#from sinc_interp import *
#from mapspec.sinc_interp2 import SincInterp
from mapspec.sinc_interp import SincInterp
x = sp.r_[-1:0.85:51j]
dt = 0.5*(x[1] - x[0])
#try different functions
#y = sp.sin(2... | null | examples/test_sincinterp.py | test_sincinterp.py | py | 1,350 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.insert",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "scipy.r_",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scipy.signal.resample",
... |
522027723 | # Copyright 2013 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | null | keystone/credential/core.py | core.py | py | 5,662 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keystone.common.conf",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "keystone.common",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "keystone.common.manager.Manager",
"line_number": 31,
"usage_type": "attribute"
},
{
"ap... |
272488689 | # uncompyle6 version 3.7.4
# Python bytecode 3.4 (3310)
# 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/mediagoblin/tools/metadata.py
# Compiled at: 2016-02-04 13:34:40
# Size of source mod 2**32: 6601 bytes
from io import open
import os... | null | pycfiles/mediagoblin-0.9.0-py3.4/metadata.cpython-34.py | metadata.cpython-34.py | py | 5,296 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "jsonschema.compat.str_types",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "jsonsch... |
307185311 | import ctypes
lib = ctypes.cdll.LoadLibrary('./exe/exe.so')
import torch
from torch.autograd import Function
from torch.nn import Module
import torch.nn as nn
# ------------------------------------------------------------------------------ Clover Dot_4 Network
class Dot4Module(Module):
def forward(self, input1, ... | null | NN_Extensions/linear/dot.py | dot.py | py | 3,360 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ctypes.cdll.LoadLibrary",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "ctypes.cdll",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.autograd... |
520895387 | from datetime import datetime as dt
import os
import pandas as pd
import re
import sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))
import dynadb.db as dynadb
import smsclass
import volatile.memory as mem
import volatile.static as static
#---------------------------------------------------------------... | null | gsm/smsparser2/rain.py | rain.py | py | 9,933 | 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": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
527689835 | from django.urls import re_path, path
from rest_framework import routers
from accounting import views
tax_router = routers.DefaultRouter()
tax_router.register(r'^api/tax', views.TaxViewset)
settings_router = routers.DefaultRouter()
settings_router.register(r'^api/settings', views.AccountingSettingsAPIView)
account_... | null | accounting/urls.py | urls.py | py | 11,344 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "accounting.views.TaxViewset",
"line_number": 7,
"usage_type": "attribute"
},
... |
18722298 | import numpy as np
import torch
from PIL import Image
from bitarray import bitarray
from torchvision.transforms.functional import to_tensor
import schedule
# device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
device = 'cpu'
mask = 4
codir = str(mask)
mapping_type = {0:'Center', 1:'Donut', 2:'Edge-Lo... | null | Data-Driven E2E Latency Estimation/1.Latency Sample Generation/1)Profiling and Modeling/(2)Services/b.Defect Detection/Train/1.auto-cnn/waferPredict.py | waferPredict.py | py | 1,906 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.functional.to_tensor",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "num... |
501230744 | # Copyright (c) 2016 Cisco Systems, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | null | networking_vpp/tests/unit/test_vppforwarder.py | test_vppforwarder.py | py | 10,959 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.modules",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.modules",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
... |
425563621 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import List, Tuple
import torch
from pytext.config import ConfigBase
from pytext.data.roberta_tensorizer import RoBERTaTensorizer
from pytext.data.tensorizers import LabelTensorizer
from pytext.models.bert_classi... | null | pytext/models/roberta.py | roberta.py | py | 5,657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytext.models.representations.transformer_sentence_encoder_base.TransformerSentenceEncoderBase",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pytext.models.representations.transformer_sentence_encoder_base.TransformerSentenceEncoderBase.Config",
"line_number": 28,... |
332071116 | import argparse
import json
import getpass
from glueCodeTypes import ALInterfaceMode, SolverCode, LearnerBackend, SchedulerInterface, ProvisioningInterface, DatabaseMode
def processGlueCodeArguments():
"""Process command line arguments to GLUE code
Raises:
Exception: Failure to pass a JSON configurati... | null | GLUECode_Service/glueArgParser.py | glueArgParser.py | py | 2,069 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "glueCodeTypes.ALInterfaceMode",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "glueC... |
450840352 | import flask
from canonicalwebteam.discourse_docs import (
DiscourseAPI,
DiscourseDocs,
DocParser,
)
from canonicalwebteam.search import build_search_view
def init_docs(app, url_prefix):
discourse_index_id = 1087
discourse_api = DiscourseAPI(base_url="https://discourse.jujucharms.com/")
dis... | null | webapp/docs/views.py | views.py | py | 1,125 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "canonicalwebteam.discourse_docs.DiscourseAPI",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "canonicalwebteam.discourse_docs.DocParser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "canonicalwebteam.discourse_docs.DiscourseDocs",
"line_... |
540767271 | import urllib.request
import urllib.parse
import json
content=0
while True:
if content!='end':
content=input()
url='http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule'
head={}
head['User-Agent']='Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:59.0) Gecko/20100101 Firefox... | null | 翻译.py | 翻译.py | py | 1,025 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 23,
"usage_type": "name"
},
{
"api_name"... |
299008960 |
from django.shortcuts import get_object_or_404, redirect, render
from django.http import HttpResponse, HttpResponseRedirect, response
from ip_tracker.models import Network
from django.urls import reverse, reverse_lazy
from ip_tracker.forms import NetworkForm
from .filters import NetworkFilter
from django.contrib.auth... | null | ip_tracker/views.py | views.py | py | 3,064 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.http.response",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.http.response",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "cs... |
166438396 | from wechat.wechatViews.baseMsg import Msg
from wechat.models import PersonalImg
from django.conf import settings
import requests
import json
class ImgMsg(Msg):
def __init__(self, xmlData):
super().__init__(xmlData)
self.get_msg(xmlData)
self.do_func()
def get_msg(self, xmlData):
... | null | wechat/wechatViews/imgMsg.py | imgMsg.py | py | 1,894 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wechat.wechatViews.baseMsg.Msg",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.ACCESS_TOKEN",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 21,
"usage_type": "name"
},
... |
489262876 |
import RPi.GPIO as GPIO
import time
from flask import Flask, render_template
#GPIO Mode (BOARD / BCM)
GPIO.setmode(GPIO.BCM)
#set GPIO Pins
GPIO_TRIGGER = 23
GPIO_ECHO = 24
#set GPIO direction (IN / OUT)
GPIO.setup(GPIO_TRIGGER, GPIO.OUT)
GPIO.setup(GPIO_ECHO, GPIO.IN)
def distance():
# set Trigger to ... | null | combined.py | combined.py | py | 1,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BCM",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line_n... |
541048435 | import pandas as pd
import pygal as pg
from pygal.style import NeonStyle
def rangeage():
"""pop indicator"""
#----input----#
Country = input()
#----------------------------------------------------------------------------------#
#-----read file-----#
df_male = pd.read_csv("../../DATA Update/Male ag... | null | psit/project กลุ่มอื่น/Worldpopulation-master/Python/Pyramid Graph/range_age_fix_loop.py | range_age_fix_loop.py | py | 2,773 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
270671280 | """
SMI Types / Structure types which are not defined in :term:`X.690`.
See `RFC 1155 section 3.2.3`_ for a description of the types and `RFC 3416`_
for the definition of the new types.
.. _RFC 1155 section 3.2.3: https://tools.ietf.org/html/rfc1155#section-3.2.3
.. _RFC 3416: https://tools.ietf.org/html/rfc3416
"""
... | null | puresnmp/types.py | types.py | py | 2,479 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "x690.types.OctetString",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "x690.util.TypeInfo.APPLICATION",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "x690.util.TypeInfo",
"line_number": 23,
"usage_type": "name"
},
{
"api... |
244921255 | from train import train
import os
import sys
import json
import argparse
import numpy as np
import warnings
from pathlib import Path
from time import time
import pickle
from tabulate import tabulate
from hyperopt import hp, fmin, tpe
warnings.filterwarnings('ignore')
# Add project source to path
root = Path(os.path.... | null | deeply/deeply.py | deeply.py | py | 7,537 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
108882236 | """ Tests the evaluation of the potential for single and array-valued arguments for SHO, bump and KP potentials
"""
import numpy as np
import pytest
from basis.potential import Potential
def test_getattr():
"""Tests the attributes re-routing to potential.params.
"""
pot= Potential("potentials/kp.cfg")
... | null | tests/test_potential.py | test_potential.py | py | 2,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "basis.potential.Potential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "basis.potential.Potential",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "basis.potential.Potential",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
224487750 | # parser.py
import requests
from bs4 import BeautifulSoup
import os
import json
# Python이 실행될 때 DJANGO_SETTINGS_MODULE이라는 환경 변수에 현재 프로젝트의 settings.py파일 경로를 등록합니다.
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "webcrawl.settings")
# 이제 장고를 가져와 장고 프로젝트를 사용할 수 있도록 환경을 만듭니다.
import django
django.setup()
from django_crawl... | null | parse_job_recommend.py | parse_job_recommend.py | py | 1,196 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ.setdefault",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
... |
379683608 | import cv2
import csv
import glob
import math
import serial
import imutils
import numpy as np
import cv2.aruco as aruco
from imutils import paths
#Settings
CameraIndex = 0
CameraWidth = 720
CameraHeight = 360
CameraFPS = 60
#Functions
def translate(value, leftMin, leftMax, rightMin, rightMax):
leftSpan = leftMa... | null | RegularVersion/UrbanVer1.py | UrbanVer1.py | py | 10,289 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FPS",
... |
249438275 | """dogs_site URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-... | null | dogs_site/dogs_site/urls.py | urls.py | py | 1,439 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name... |
587156984 | # Copyright 2020 The SQLNet Company GmbH
# 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
# rights to use, copy, modify, merge, publish, ... | null | getml/communication.py | communication.py | py | 23,269 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.JSONEncoder",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "json.JSONEncoder.default",
"line_number": 113,
"usage_type": "call"
},
{
"api_name": "json.JSONEncoder",
"line_number": 113,
"usage_type": "attribute"
},
{
"api_name":... |
422830000 | # This file is part of the Adblock Plus web scripts,
# Copyright (C) 2006-2015 Eyeo GmbH
#
# Adblock Plus is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 3 as
# published by the Free Software Foundation.
#
# Adblock Plus is distributed in the hope t... | null | sitescripts/extensions/android.py | android.py | py | 1,330 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "subprocess.check_output",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom.parseString",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 27,
"usage_type": "name"
}
] |
337510928 | #!/usr/bin/python
import MFRC522
import signal
import ConfigParser
import os
import pygame
Config = ConfigParser.ConfigParser()
Config.read("/home/pi/MFRC522-python/rfidconfig.txt")
#from https://wiki.python.org/moin/ConfigParserExamples
def ConfigSectionMap(section):
dict1 = {}
options = Config.options(secti... | null | rfid2mp3.py | rfid2mp3.py | py | 2,029 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",... |
445657597 | import json
import argparse
p = argparse.ArgumentParser()
p.add_argument("-f", "--file", help="Filename", required=True)
p.add_argument("id", nargs="+", type=str, help="IR codes")
args = p.parse_args()
with open(args.file, "r") as f:
records = json.load(f)
for arg in args.id:
if arg in records:
code = recor... | null | decode.py | decode.py | py | 766 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
}
] |
562524853 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.linear_model import LinearRegression as LR
from sklearn.linear_model import LogisticRegression as LGR
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report as CR
fro... | null | LogisticRegression/LogisticRegressionProject.py | LogisticRegressionProject.py | py | 1,507 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_na... |
283726951 | """Data model source parameters."""
from pydantic import Field, HttpUrl, validator
from .base import MappedModel, NamedModel, StrEnum
class ParameterType(StrEnum):
"""Parameter type."""
DATE = "date"
INTEGER = "integer"
MULTIPLE_CHOICE = "multiple_choice"
MULTIPLE_CHOICE_WITH_ADDITION = "multip... | null | components/shared_code/src/shared_data_model/meta/parameter.py | parameter.py | py | 4,689 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.StrEnum",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "base.NamedModel",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pydantic.HttpUrl",
"li... |
395780605 | # -*- coding: utf-8 -*-
import json
import time
import logging
import requests
from requests import ReadTimeout
from odoo.exceptions import UserError
from odoo import api, fields, models
from .ding_robot_api import DingtalkChatbot, ActionCard, FeedLink, CardItem
_logger = logging.getLogger(__name__)
MESSAGETYPE = [
... | null | dindin_message/models/ding_robot.py | ding_robot.py | py | 7,370 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Bool... |
60145227 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from .views import *
from django.urls import path
# place app url patterns here
urlpatterns = [
# display reports
path('report/', ReportHome.as_view(), name='report_home'),
path('report_data/project/', ProjectReportData.as_view(),
name='project_report_... | null | reports/urls.py | urls.py | py | 622 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
172508538 |
from sklearn.svm import LinearSVC , SVC
from sklearn.metrics import accuracy_score
# from m03_xor.py
# 1. 데이터
x_data = [ [0,0], [1,0], [0,1], [1,1]] # -> xor 연산 // 같으면 0, 다르면 1
y_data = [ 0, 1, 1, 0]
# 2. 모델
# model = LinearSVC()
model = SVC()
# 3. 훈련
model.fit(x_data, y_data)
# 4. 평가 및 예측
x_test = [ [0,... | null | ML/m04_xor_solution.py | m04_xor_solution.py | py | 636 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.svm.SVC",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 27,
"usage_type": "call"
}
] |
72950242 | import keyboard
import pygame
import os
import time
playing = False
interrupt = False
def pressed_letter():
for c in 'abcdefghijklmnopqrstuvwxyz':
if keyboard.is_pressed(c):
return True
else:
return False
def play_parts(s):
global playing
global interr... | null | src/keyboard_music_file.py | keyboard_music_file.py | py | 963 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keyboard.is_pressed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.unpause",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "time.sleep... |
248939303 | # Copyright 2018, 2019, 2020 CNRS - Airbus SAS
# Author: Florent Lamiraux, Joseph Mirabel, Alexis Nicolin
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
# 1. Redistributions of source code must retain the above copy... | null | talos/manipulate_boxes/script_hpp.py | script_hpp.py | py | 12,256 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "hpp.corbaserver.createContext",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "hpp.corbaserver.loadServerPlugin",
"line_number": 48,
"usage_type": "call"
},
{... |
257477332 | import torch
def train(model, trainloader, validationloader, epoches, optimizer, criterion, device):
best_val = 0
val_l = len(validationloader)
train_l = len(trainloader)
for epoch in range(epoches):
model.train()
train_loss = 0.0
for i, data in enumerate(trainloader):
image, depth = data
... | null | assignments/assignment4/.ipynb_checkpoints/train-checkpoint.py | train-checkpoint.py | py | 1,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.no_grad",
"line_number": 30,
"usage_type": "call"
}
] |
111753242 | import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
import scipy.sparse as sparse
class SpectralGraph:
def __init__(self, name):
self.name = name
def make_graph(self, *matrix):
if not matrix:
graph = nx.Graph()
graph.add_edges_from([(1... | null | SpectralGraph.py | SpectralGraph.py | py | 836 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "networkx.Graph",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "networkx.from_numpy_matrix",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "networkx.spectral_layout",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "ne... |
430860777 | # from tsne import *
from tsne import bh_sne
# from tsne_orig import tsne
import numpy as np
import torch
import matplotlib.pyplot as plt
# could use argparse...
modelpath = '/export02/data/peterd/Projects/Tedlium/model/models/'
tier = 'combined'
modelname = 'tedlium_yesdurs_'+tier+'_setting_6'
modelfile = modelpath+m... | null | model/compute_tsne_embeddings.py | compute_tsne_embeddings.py | py | 1,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.load",
... |
246942072 | # In[]
import pandas as pd
df = pd.read_csv('D:/idea_workspace/mici-learning/1.4-1.5/housing.data.txt',
header=None,
sep='\s+') # '\s+'表示匹配任意多个空白字符/空格
df.columns = ['CRIM', 'ZN', 'INDUS', 'CHAS',
'NOX', 'RM', 'AGE', 'DIS', 'RAD',
'TAX', 'PTRATIO', 'B', '... | null | 1.7/boston.py | boston.py | py | 1,064 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "seaborn.pairplot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.tight_layout",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplo... |
460745300 | from tkinter import *
from tkinter import ttk
from PIL import Image, ImageTk
from csv import *
tujuan = []
with open('dom_nondom.csv') as file_csv:
reader_csv = reader(file_csv, delimiter=',')
for row in reader_csv:
if row[0] != 'NO':
tujuan.append(row)
waktu = []
with open('w... | null | main_windows.py | main_windows.py | py | 6,614 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
"li... |
187598116 | from rest_framework.reverse import reverse
from rest_framework.status import HTTP_200_OK, HTTP_201_CREATED, HTTP_400_BAD_REQUEST
from thenewboston.third_party.pytest.asserts import assert_objects_vs_dicts
def test_confirmation_block_list(client, confirmation_blocks, django_assert_max_num_queries):
with django_ass... | null | v1/confirmation_blocks/tests/confirmation_block.py | confirmation_block.py | py | 1,327 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.reverse.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_200_OK",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "thenewboston.third_party.pytest.asserts.assert_objects_vs_dicts",
"line_numbe... |
262634544 | import sqlite3
import random
import datetime
from neu_news import get_news
from stu_org import get_stu_org
from neu_news_interface import get_content
from crawling import crawling_data
import datetime
import os
class visitor:
def __init__(self):
self.pid = []
self.id = 0 # 账号
... | null | edition4.0.py | edition4.0.py | py | 20,178 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_n... |
170739143 | # -*- coding:utf-8 -*-
# The second implementation of the balanced version of ESGR-mix (in the paper, I only report the result of the
# first implementation of ESGR-mix (setting FLAGS.balanced to True). The difference is the composition of the
# training samples of the new classes. In the first implementation, onl... | null | cifar_train_esgr_mix_balanced_v2.py | cifar_train_esgr_mix_balanced_v2.py | py | 42,702 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.set_random_seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensor... |
631026200 | # -*- coding: utf-8 -*-
"""
Created on Thu Apr 16 17:41:53 2020
@author: NGG6KOR
"""
import numpy as np
import cv2
#from numba import jit
def get_pred(image, W, H, input_w, input_h, net, ln, input_conf, input_thres):
blob = cv2.dnn.blobFromImage(image, 1 / 255.0, (input_w, input_h), swapRB=False, crop=False)
... | null | CV/object_detection/pre-trained_inferencing/SD/people_detection_v2.py | people_detection_v2.py | py | 2,877 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.dnn.blobFromImage",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.argmax",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"li... |
401447154 | import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from sense_emu import SenseHat
import time
from time import asctime
sense = SenseHat()
fromaddr = "saeid69.rezaei@gmail.com"
toaddr = "saeid70.rezaei@gmail.com"
msg = MIMEMultipart()
msg['From'] = fromaddr
msg['To'] = t... | null | SendEmail.py | SendEmail.py | py | 758 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sense_emu.SenseHat",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 22,
"usage_type": "call"
},
{
"api... |
395557453 | # Starting to Crawl
from urllib.request import urlopen
from bs4 import BeautifulSoup
import datetime
import random
import re
#Traversing a single domain
'''
random.seed(datetime.datetime.now())
def getLinks(articleUrl):
html = urlopen("https://en.wikipedia.org"+articleUrl)
bsObj = BeautifulSoup(html, "html.pa... | null | Ch3.py | Ch3.py | py | 4,415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.seed",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "re.compile",... |
380561040 | import unittest,time,os
import smtplib
from email.mime.text import MIMEText
from email.header import Header
from email.mime.multipart import MIMEMultipart
from email.mime.base import MIMEBase
from email import encoders
from HTMLTestRunner import HTMLTestRunner
from test_case.login.login_spec import LoginSpec
# from te... | null | runtest_meng.py | runtest_meng.py | py | 9,692 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "email.mime.multipart.MIMEMultipart",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "email.header.Header",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 63,
"usage_type": "call"
},
{
"a... |
291276988 | from binascii import unhexlify
import qrcode.image.svg
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
try:
from unittest.mock import patch, Mock, ANY, call
except ImportError:
from mock import patch, Mock, ANY, call
from django import forms
from django.conf im... | null | tests/tests.py | tests.py | py | 31,347 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.auth.models.User",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 44,
... |
556961439 | from rest_framework import serializers
from .models import Propietario, Inquilino, Servicio
from ..authentication.serializers import ProfileSerializer
class PropietarioSerializer(serializers.ModelSerializer):
user = ProfileSerializer(read_only=True)
owner = serializers.StringRelatedField(many=True, required=... | null | server/profiles/serializers.py | serializers.py | py | 2,576 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "authentication.serializers.ProfileSerializer",
"line_number": 8,
... |
313102777 | # diversity model
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from keras.models import Model
from keras.layers import Input, Add, Activation, Dropout, Flatten, Dense, Conv2D
from keras.layers.convolutional import Convolution2D, MaxPooling2D, AveragePooling2D, ZeroPadding2D
f... | null | diversity_models.py | diversity_models.py | py | 19,762 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.backend.image_data_format",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "keras.layers.normalization.BatchNormalization",
"line_number": 20,
"usage_type": "call"
}... |
52478019 | import pygame, os, random
pygame.init()
#kolory
SKYBLUE = pygame.color.THECOLORS['skyblue']
DARKRED = pygame.color.THECOLORS['darkred']
LIGHTRED = pygame.color.THECOLORS['palevioletred']
DARKGREEN = pygame.color.THECOLORS['darkgreen']
BLACK = pygame.color.THECOLORS['black']
LIGHTGREEN = pygame.color.THECOLORS['lightgre... | null | game_module.py | game_module.py | py | 4,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.color",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.color",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "pygame.color",
"line... |
41696499 | """
Implementation of the data structure "Binary Search Tree"
"""
from typing import Optional, Union
from dataclasses import dataclass
@dataclass
class SuccessfulStatus:
"""
Custom class for Successful cases
"""
message: str
@staticmethod
def code():
"""
Get code of the statu... | null | binary_tree/binary_tree.py | binary_tree.py | py | 4,790 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Option... |
187247120 | import csv
from time import sleep
from string import Template
from utils.bep_helper import *
from utils.lmdirect_helper import *
from utils.send_udp import send_udp
from utils.logger import logger
from gooey import Gooey, GooeyParser
log = logger(__file__)
message_frame_start = 'AA 55 ' # Message Frame S... | null | togs_udp_sender.py | togs_udp_sender.py | py | 5,796 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.logger.logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "string.Template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "string.Template",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "string.Template",... |
564507440 | import numpy as np
import cv2
# 画像の読み込み
img = cv2.imread("AllJapan1983.bmp")
height,width = img.shape[:2]
# グレースケールに変換
gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 画像の書き出し
cv2.imwrite("gry.bmp",gry)
ret,binary = cv2.threshold(gry,30,255,cv2.THRESH_BINARY)
cv2.imwrite("binary.bmp",binary)
#print(... | null | hozon.py | hozon.py | py | 1,587 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.imwrite",
"lin... |
629546560 | from flask import Flask, render_template
import mariadb
app = Flask(__name__)
@app.route("/", methods=['GET', 'POST'])
def index():
return render_template('index.html')
@app.route('/login', methods=['GET', 'POST'])
def login():
return "This is the login page"
@app.route('/database', methods=['GET', 'POST']... | null | Docker-Webserver/flaskServer/webserver/app.py | app.py | py | 722 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mariadb.connect",
"line_number": 18,
"usage_type": "call"
}
] |
359036135 | #Importing libraries. The same will be used throughout the article.
import numpy as np
import pandas as pd
import random
import matplotlib.pyplot as plt
#from IPython import get_ipython
#ipy = get_ipython()
#if ipy is not None:
# ipy.run_line_magic('matplotlib', 'inline')
#from matplotlib.pylab import rcParams
#rcPa... | null | lasso_poli.py | lasso_poli.py | py | 4,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.column_stack",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
331078843 | from klein import Klein, Response
import json
from spider_runner import SpiderRunner
from transport_scraper.transport_scraper.spiders.ip_test import IpTestSpider
from transport_scraper.transport_scraper.\
spiders.poezdato_blablacars import PoezdatoBlablacarsSpider
from transport_scraper.transport_scraper.\
spid... | null | app.py | app.py | py | 2,678 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "klein.Klein",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "klein.Response",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "spider_runner.SpiderRunner",
... |
294579901 | from django.conf.urls import patterns, url
from cardbox import card_views
from .views import PracticeCardUpdate
urlpatterns = patterns('',
url(r'^(?P<deck_id>\d+)$',
card_views.CardList.as_view(template_name="cardbox/card/card_list.html"),
na... | null | deckglue/cardurls.py | cardurls.py | py | 1,160 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cardbox.card_views.CardList.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"a... |
378005517 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2016-03-25 21:01:12
# @Author : chensijia (2350543676@qq.com)
# @Version : 0.0.0
# @Style : Python3.5
#
# @Description:
import os
from save_load_result import save_result, load_result
import pickle
import numpy as np
from create_features_from_land_operate_... | null | create_features_log_update.py | create_features_log_update.py | py | 4,887 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number... |
179644367 | import importlib
import logging
import os
import sys
import time
from typing import List, Any
import requests
import twitter
from instagram import InstagramAPI, InstagramClientError, InstagramAPIError
from instagram.helper import datetime_to_timestamp
from mastodon import Mastodon
from mastodon.Mastodon import Mastodo... | null | moa/worker.py | worker.py | py | 7,105 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "moa.models.WorkerStat",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line... |
260005961 | import logging
from logging import Logger, StreamHandler, FileHandler
FORMATTER = logging.Formatter('%(asctime)s | %(name)s | %(levelname)s | %(message)s')
def get_logger(logger_name: str, file: str = None) -> Logger:
"""Create logger.
:param str logger_name: logger name
:param file: Path to file that ... | null | utils/logger_creater.py | logger_creater.py | py | 773 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Formatter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamH... |
69569898 | import tensorflow as tf
import matplotlib.pyplot as plt
import numpy as np
# print(tf.__version__) # prints the version of tensorflow
# prepare the data
mnist = tf.keras.datasets.mnist
# x_train represents the features which in this case are the pixel values of the 28 x 28 images of the digits 0-9
# y_train is the l... | null | HandWrittenDigitClassifier/Image Classifier.py | Image Classifier.py | py | 3,177 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.utils.normalize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_n... |
18616602 | # Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | null | deeppavlov/dataset_readers/ontonotes_reader.py | ontonotes_reader.py | py | 2,214 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "deeppavlov.core.data.dataset_reader.DatasetReader",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 37,
"usage_type": "call"
},
{
"... |
139406379 | #!/usr/bin/env python3
import rospy
import sys
from statemachine import StateMachine, State
from robot.robot import Robot
from std_msgs.msg import String
from my_sys import log, SysCheck
class SoccerMachine(StateMachine):
wait = State('Wait', initial=True)
forward = State('Forward')
back = State('Back')
... | null | strategy/script/core.py | core.py | py | 1,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "statemachine.StateMachine",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "statemachine.State",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "statemachine.State",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "statem... |
558497034 | from matplotlib.pyplot import plasma
import torch.nn as nn
import torch.nn.functional as F
from woollylib.models.model import get_norm_layer, WyConv2d
from woollylib.models.transform.spatial_transformer import SpatialTransformer
class WyBlock(nn.Module):
expansion = 2
def __init__(self, in_planes, planes, n... | null | woollylib/models/custom/custom_resnet.py | custom_resnet.py | py | 4,171 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "woollylib.models.model.WyConv2d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.... |
442541363 | import requests
import json
from requests.auth import HTTPDigestAuth
from utils.errors import check_error
def run(addr, op_id, psswd, timeout, print_timeout, cmd_args=None):
url = 'http://' + addr + '/cgi/chk'
params = {}
start_id = getattr(cmd_args, 'id', None)
if start_id:
params['id'] = sta... | null | commands/chk_sync.py | chk_sync.py | py | 762 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.auth.HTTPDigestAuth",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.errors.check_error",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "js... |
314814013 | from selenium import webdriver
from lxml import etree
import time
import pymongo
aaa=[3,10,11,15,25]#消除错误
for j in aaa:
# for j in range(1,31):
url='https://shopee.tw/daily_discover/'+str(j)+'/'
driver=webdriver.PhantomJS()
driver.get(url)
print("正在抓取第%d页-----------------"%j)
time.sleep(2)
# wit... | null | xiapipachong1.py | xiapipachong1.py | py | 1,187 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.PhantomJS",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lxml.etree.H... |
293136088 | """Device tracker for BMW Connected Drive vehicles."""
import logging
import math
from homeassistant.util import slugify
from . import DOMAIN as BMW_DOMAIN
_LOGGER = logging.getLogger(__name__)
def setup_scanner(hass, config, see, discovery_info=None):
"""Set up the BMW tracker."""
accounts = hass.data[BMW... | null | bmw_connected_drive/device_tracker.py | device_tracker.py | py | 7,407 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number":... |
95888066 | #!/usr/bin/env python3
import sys
import glob
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#Check the sequence
def wrong_character(seq):
bad_char = {}
for al in seq:
if al not in 'GCAT':
if al in bad_char: bad_char[ al ] += 1
else: bad_char[ al ] = 1
... | null | count_kmers2.py | count_kmers2.py | py | 5,468 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
411953900 | from os import path
from setuptools import setup
def get_readme_content():
"""Get content of README.md file
Returns:
str: README.md content
"""
readme_dir = path.abspath(path.dirname(__file__))
with open(path.join(readme_dir, "README.md"), encoding="utf-8") as fd:
lo... | null | setup.py | setup.py | py | 1,411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
509599972 | #!/usr/bin/env python3
import os
import pytest
import requests
from remote_server import NodeGraphQL
from validate import check_query_f
def make_request(url, query):
print('Sending request to the local federated server')
payload = {'query': query}
resp = requests.post(url, json=payload)
return resp
... | null | server/tests-py/test_apollo_federation.py | test_apollo_federation.py | py | 2,597 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.post",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "remote_server.NodeGraphQL",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "remote_server.NodeGraphQL",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "rem... |
257265467 | # encoding=utf8
import argparse
from libs.log import get_logger
from models.gsxt.reg_number import RegNumberRange, RegNumber
from models.gsxt.enterprise import EnterpriseInfo
logger = get_logger(__file__)
def main(args):
logger.info('args=%s', args)
for o in RegNumberRange.select().where(
RegNu... | null | apps/gsxt/reg_number_range_show.py | reg_number_range_show.py | py | 1,712 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "libs.log.get_logger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.gsxt.reg_number.RegNumberRange.select",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.gsxt.reg_number.RegNumberRange",
"line_number": 14,
"usage_type": ... |
545182379 | from django.conf.urls import patterns, include, url
from django.contrib import admin
from airspacecontrol import views, settings
admin.autodiscover()
urlpatterns = patterns('',
# url(r'^$', 'airspacecontrol.views.home', name='home'),
# url(r'^airspacecontrol/', include('airspacecontrol.foo.urls')),
url(r'... | null | airspacecontrol/urls.py | urls.py | py | 1,030 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 7,
"usage_type": "call"
},
{
"api... |
511842824 | from GM_PHD_Filter import set_model, GM_PHD_Filter
import numpy as np
import numpy.matlib
import matplotlib.pyplot as plt
plt.ion()
fig = plt.figure()
model = set_model()
# Starting target states (positions , velocities)
m_start1 = np.array([250, 250, 0, 0]).reshape(4,1)
m_start2 = np.array([10,-10, 5, -5]).reshape(4... | null | GM-PHD-Filter/GM-PHD-Filter-Python/GM_PHD_Filter_demo.py | GM_PHD_Filter_demo.py | py | 5,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplot... |
391986583 | from idbase.views import login, logout
import pytest
@pytest.fixture
def req(rf, session):
"""A login request with an authenticated user"""
return _get_request(rf, '/login/?next=/home', session=session)
def test_login_redirect(req):
response = login(req)
assert response.status_code == 302
assert... | null | tests/test_views.py | test_views.py | py | 1,876 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.fixture",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "idbase.views.login",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "idbase.views.login",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "idbase.views... |
232488535 | '''
学习pytorch 和 学习 alexnet
'''
import torch
import torch.nn as nn
from torchvision import transforms,utils
from torch.autograd import Variable
import torch.nn.functional as F
from collections import OrderedDict
import numpy as np
import pdb
# 建立模型
class AlexNet(nn.Module):
# 初始化
def __init__(self,num_cla... | null | alexnet.py | alexnet.py | py | 1,818 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
85400509 | """empty message
Revision ID: 08e7990daaaa
Revises:
Create Date: 2018-03-21 21:05:48.553693
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '08e7990daaaa'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | null | migrations/versions/08e7990daaaa_.py | 08e7990daaaa_.py | py | 3,453 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
397946308 | import os
import json
import glob
from collections import OrderedDict
import numpy as np
import pandas as pd
from scipy import optimize
from scipy.stats import pearsonr
from sklearn.feature_extraction import DictVectorizer
from sklearn.linear_model import LassoLars, LinearRegression
from nilearn.datasets import neur... | null | topic_models/decoding.py | decoding.py | py | 6,102 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nilearn.datasets.load_mni152_brain_mask",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nilearn.input_data.NiftiMasker",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 27,
"usage_type": "call"
},
{
... |
407082650 | """Terraform outputs loader."""
import functools
import json
import logging
import os
from typing import Any, Dict, Optional
import dynaconf
logger = logging.getLogger(__name__)
TFVARS_FILEPATH = os.path.join(os.path.dirname(__file__), "terraform.tfvars.json")
TFOUTS_FILEPATH = os.path.join(os.path.dirname(__file__)... | null | src/sentiment_flanders/config/terraform_loader.py | terraform_loader.py | py | 2,192 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"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.dirname",
"li... |
174035785 | """empty message
Revision ID: fc86fa9a2b44
Revises: d6c4d9fba0fe
Create Date: 2021-02-24 14:21:58.364066
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'fc86fa9a2b44'
down_revision = 'd6c4d9fba0fe'
branch_labels = None
depends_on = None
def upgrade():
# ... | null | migrations/versions/fc86fa9a2b44_.py | fc86fa9a2b44_.py | py | 2,452 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
73152067 | # -*- coding: utf-8 -*-
import hashlib
import requests
from bs4 import BeautifulSoup
def parseDate(xh,pwd):
data = {
'__VIEWSTATE' : '39TXG0FuP+7HTWF0Y6SIqw+OEqcmnCJKoPn3bnu99UBy9IFs4stPqW+Sqow1ZMdr',
'userbh' : '',
'pass' : '',
'cw' : '',
'xzbz' : '1'
}
... | null | test.py | test.py | py | 2,118 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "hashlib.md5",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "requests.session",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 59,
"usage_type": "call"
}
] |
579439724 | """Provides classes for working with help topics."""
from sqlalchemy import Column, Integer, ForeignKey, or_, func
from sqlalchemy.orm import relationship
from attrs_sqlalchemy import attrs_sqlalchemy
from .base import Base, NameMixin, TextMixin, PermissionsMixin
@attrs_sqlalchemy
class HelpTopicKeyword(Bas... | null | server/server/db/help.py | help.py | py | 3,358 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "base.Base",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Foreign... |
171507800 | """
Client
Responsibility:
1. Send messages to server
Connectivity:
1. RM
2. Servers (replication)
"""
from socket import *
import json
import sys
import threading
import time
class ServerThread(threading.Thread):
def __init__(self, server_socket, server_message, server_address, server_n... | null | automated_client_passive.py | automated_client_passive.py | py | 6,549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": ... |
5806811 | import random
import numpy as np
import pandas as pd
import os
from time import sleep
import gym
import gym_gazeboros_ac
# Constants
ENV_NAME = 'gazeborosAC-v0'
N_EPISODES = 100
STEPS_PER_EPISODE = 45
ADDON_PREV_DATA = True
if __name__ == '__main__':
env = gym.make(ENV_NAME).unwrapped
env.set_agent(0)
... | null | far_ws/src/follow_ahead_rl/scripts/hinn_data_collector.py | hinn_data_collector.py | py | 1,880 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "gym.make",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 56,
... |
230962863 | import json
import math
from pathlib import Path
from typing import List, Tuple
class Ladder:
DIVISION_NAMES = ['quantum', 'overclocked', 'processor', 'circuit', 'transistor', 'abacus', 'babbage',
'colossus', 'eniac', 'ferranti']
def __init__(self, bots: List[str], division_size: int=4,... | null | autoleagueplay/ladder.py | ladder.py | py | 3,185 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "math.ceil",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 26... |
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