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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
641374358 | #!/usr/bin/env python
# coding: utf-8
import requests
import os
from datetime import datetime
from os.path import join, dirname
from dotenv import load_dotenv
from sqlalchemy import create_engine
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
# MySQL接続
mysql_info = 'mysql+pymysql://' + os.env... | null | main.py | main.py | py | 2,668 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"lin... |
155794699 | import re
import xml.dom.minidom as dom
from xml.parsers.expat import ExpatError
import http.client, urllib.parse
HTTP_TIMEOUT = 10
class SoapRequest(object):
""" Base class for SOAP requests. """
SOAPENV_SCHEMA = "http://schemas.xmlsoap.org/soap/envelope/"
def __init__(self, urn):
... | null | Libs/UI/soap_modules/soap.py | soap.py | py | 3,398 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xml.dom.minidom.Document",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "xml.dom.minidom",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "http.client.client.HTTPConnection",
"line_number": 76,
"usage_type": "call"
},
{
"api_na... |
305505425 | """ Create graph embedding from dbp file
Example data :
>>> db['1808.03258']
{'id': 'http://arxiv.org/abs/1808.03258v1', 'guidislink': True, 'link':
'http://arxiv.org/abs/1808.03258v1', 'updated': '2018-08-04T13:37:51Z',
'updated_parsed': time.struct_time(tm_year=2018, tm_mon=8, tm_mday=4,
tm_hour=13, tm_min=37,... | null | aidistillery/graph_embeddings.py | graph_embeddings.py | py | 8,757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "dgl.DGLGraph",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_nu... |
451108362 | """
This file keeps all fixes for issues found
"""
import os
import datetime
from textwrap import dedent
from unittest import TestCase
import pyexcel as pe
from pyexcel_xlsxw import save_data
class TestBugFix(TestCase):
def test_pyexcel_issue_5(self):
"""pyexcel issue #5
datetime is not prop... | null | tests/test_bug_fixes.py | test_bug_fixes.py | py | 3,007 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pyexcel.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
19408596 | import matplotlib.pyplot as plt
import numpy as np
import sys
from plotting.util import read_files_dict, pretty_xlim
def main():
uc_trunc = int(sys.argv[1]) if len(sys.argv) > 1 else 0 #8
c_trunc = int(sys.argv[2]) if len(sys.argv) > 2 else 0 #-6
uc_dict = read_files_dict("experiments/mf/results/output_uc", sort... | null | experiments/mf/scripts/plot.py | plot.py | py | 2,431 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "plotting.util.read_files_dict",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "plotting.util... |
183407716 | """
BehaviorRobot class that can be used in VR as an avatar, or as a robot.
It has two hands, a body and a head link, so is very close to a humanoid avatar.
Takes in a numpy action space each frame to update its positions.
Action space (all non-normalized values that will be clipped if they are too large)
* See init ... | null | igibson/robots/behavior_robot.py | behavior_robot.py | py | 60,190 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 148,
"usage_type": "call"
},
{
"api_name": "pybullet.multiplyTransforms",
"line_number": 196,
"usage_type": "call"
},
{
"api_name": "pybullet.multiplyTransforms",
"line_number": 198,
"usage_type": "call"
},
{
"api_name":... |
628744997 | import discord
from discord.ext.commands import group
from discord.ext.commands import bot
from discord.ext.commands import RoleConverter
from discord.ext import commands
import cfg
import json
class Custom:
def __init__(self, bot):
self.bot = bot
#load custom command list
try:
with open('cc.json') as f:
... | null | cogs/custom.py | custom.py | py | 6,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.bot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cfg.bot",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "cfg.bot",
"line_n... |
9968031 | # -*- coding: utf-8 -*-
"""systems
"""
import logging
import math
import random
import datetime
from typing import List, Tuple
import esper
import pygame as pg
from pygame import Vector2
import flappy_bird.components as cmp
import flappy_bird.entities as ent
from flappy_bird.common import load_sound
from flappy_bird.... | null | flappy_bird/systems.py | systems.py | py | 9,098 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "esper.Proces... |
627009311 | from time import time
import gensim
from keras.utils import to_categorical
from nltk import WordNetLemmatizer, word_tokenize, FreqDist
from sklearn import metrics
from sklearn.cross_validation import train_test_split
import preprocess as pre
import pandas as pd
from keras.preprocessing.text import Tokenizer
from kera... | null | final/nerualNetModel.py | nerualNetModel.py | py | 12,562 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.preprocessing.sequence.pad_sequences",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.sequence.pad_sequences",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 220,
"u... |
198313333 | import datetime
from django.shortcuts import render
from django.http import HttpResponse
from django.template import RequestContext, loader
from django_twilio.decorators import twilio_view
from django.utils import timezone
from twilio.twiml import Response
def index(request):
# Pull any data we need from DB
# ... | null | circly/views.py | views.py | py | 3,437 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.loader.get_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.template.loader",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.template.RequestContext",
"line_number": 17,
"usage_type": "call"
},
... |
449522908 | #!/usr/bin/env python3
import spotipy
import spotipy.util as util
import configparser
import datetime
import sys
import os
def is_discover_weekly(playlist_dict):
return playlist_dict['name'] == 'Discover Weekly'
def aggregate_spotify(sp, api_fun, params):
resp = api_fun(params)
agg = resp['items']
... | null | discover-weekly-saver.py | discover-weekly-saver.py | py | 2,882 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "spotipy.util.... |
328948899 | from transformers import BertModel, RobertaModel, XLNetModel, AlbertModel, ElectraModel
import torch
import torch.nn as nn
import torch.nn.functional as F
class BiGraphEncoder(nn.Module):
def __init__(self,
word_embedding: nn.Embedding,
hidden_dim: int,
dropout_... | null | nn/encode.py | encode.py | py | 6,512 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"l... |
265815945 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.views import generic
from links.models import Link
class IndexView(generic.ListView):
template_name = "links/index.html"
context_object_name = "results"
def get_queryset(self):
return Li... | null | speeddial/links/views.py | views.py | py | 521 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "links.models.Link.objects.order_by",
"line_number": 11,
"usage_type": "call"
},
... |
61647478 | '''
dict1 = str({'name':'xiaoming','age':18,'color':'blue'})
f = open('D:\Imooc_Interface\Other\ProvinceMemu.txt','w')
f.write(dict1)
f.close()
f = open('D:\Imooc_Interface\Other\ProvinceMemu.txt','r')
data = f.read()#data此时是str
data_new = eval(data)#使用eval（）函数把str 变成dict
print(type(data_new))
print(data_new['name'])... | null | Other/dumps和loads的学习.py | dumps和loads的学习.py | py | 3,654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 97,
"usage_type": "call"
}
] |
41795956 | from django.conf.urls import patterns, include, url
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.conf import settings
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
url(r'^grappelli/', include('grappelli.urls')),
url(r'^admin/', include(admi... | null | webverde/urls.py | urls.py | py | 722 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 8,
"usage_type": "call"
},
{
"api... |
605613861 | from __future__ import with_statement
from fabric.context_managers import shell_env
from fabric.api import run, env, cd
__author__ = 'mm'
env.hosts = ['mmcardle@mmcardle.webfactional.com']
code_dir = '/home/mmcardle/webapps/django_builder/builder'
apache_bin = '/home/mmcardle/webapps/django_builder/apache2/bin/restar... | null | fabfile.py | fabfile.py | py | 719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "fabric.api.env.hosts",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "fabric.api.env",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "fabric.api.run",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "fabric.api.run"... |
607647902 | import math
from typing import Dict, Optional, Tuple, Sequence
import numpy as np
import pandas as pd
class DataBundle:
def __init__(self, x: np.ndarray, y: np.ndarray):
self.x = x
self.y = y
@classmethod
def from_unbalanced_data_bundle(cls, data_bundle: "DataBundle") -> "DataBundle":
... | null | toai/data/DataBundle.py | DataBundle.py | py | 1,998 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.ndarray",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.argwhere",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
... |
211219103 | import tensorflow as tf
import os
import pickle
import numpy as np
import tqdm
import gym
import logz
import time
import math
class Config(object):
def __init__(self,
filename,
dropout=0.5,
hidden_size=[128,256,64],
batch_size=256,
... | null | hw1/BehavioralCloning.py | BehavioralCloning.py | py | 10,661 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "tensorflow.placeholder",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "tensorflow... |
444636781 | from . import DATA_DIR, INVENTORY_DIR
from .clean_datasets import DatabaseCleaner
from .data_collection import IAMDataCollection
from .electricity import Electricity
from .renewables import SolarPV
from .inventory_imports import (
CarmaCCSInventory,
BiofuelInventory,
DACInventory,
HydrogenInventory,
... | null | premise/ecoinvent_modification.py | ecoinvent_modification.py | py | 26,250 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 160,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 165,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 228,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_nu... |
537443309 | import random
import pandas
import matplotlib.pyplot as plt
data = pandas.read_csv("bgg_db.csv", encoding="ISO-8859-1")
# 1) Comparison - display a bar chart that displays how many games came out from the year 2000 to present day
comparison_data = data[data["year"] >= 2000][["year", "names"]]
comparison_data.hist()
p... | null | basic data visualizations/lab4.py | lab4.py | py | 1,913 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
558600477 | # Copyright Amazon.com Inc. or its affiliates. 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. A copy of the
# License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanyin... | null | test/e2e/tests/test_table.py | test_table.py | py | 4,390 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "acktest.resources.random_suffix_name",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "e2e.replacement_values.REPLACEMENT_VALUES.copy",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "e2e.replacement_values.REPLACEMENT_VALUES",
"line_number"... |
394617881 | from django.shortcuts import render,redirect
# from pwn.forms import CuisineForm
from pwn.models import AdminLoginModel,StateModel,CityModel,CuisineModel
from django.contrib import messages
def showIndex(request):
return render(request,"pwn/login.html")
def pwn_login_check(request):
if request.method == "PO... | null | OnlineFood/pwn/views.py | views.py | py | 5,891 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pwn.models.AdminLoginModel.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pwn.models.AdminLoginModel.objects",
"line_number": 14,
"usage_type": "attr... |
16527108 | from django.conf.urls import patterns, url
from root import views
urlpatterns = patterns('',
url(r'^$', views.search, name='search'),
url(r'^login$', 'app.account.login'),
url(r'^logout$', 'app.account.logout'),
url(r'^signup$', 'app.account.signup'),
)
| null | Website/root/urls.py | urls.py | py | 260 | 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": "root.views.search",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ro... |
443018062 | import os
import csv
import configparser
import re
from pathlib import Path
class CsvRename():
"""
csv
"""
def csvRename(self):
"""
"""
path = self.__csvFolderPath()
filePathList = self.__getCsvFilePath(path)
for filePath in filePathList:
... | null | csvRename.py | csvRename.py | py | 2,122 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
509350527 | import copy
import math
import numpy as np
import torch
from torch.nn import Parameter, init
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# Implementation of Twin Delayed Deep Deterministic Policy Gradi... | null | TD3.py | TD3.py | py | 11,928 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
366818972 | from collections import Counter
import numpy as np
def gen(X, y, augment, balanced):
n = len(X)
if balanced:
counter = Counter(y)
weights = np.array([1 / counter[val] for val in y])
weights /= weights.sum()
idxs = np.random.choice(range(n), n, p=weights)
else:
idxs ... | null | utils/data.py | data.py | py | 666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
12958522 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 22 22:46:09 2021
@author: botond
if 91*109*91 then voxel size is 2mm (standard MNI space)
"""
# =============================================================================
# Setup
# ==============================================================... | null | neurofunction/neurofunction_fig_sex_strat.py | neurofunction_fig_sex_strat.py | py | 5,715 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IPython.get_ipython",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "IPython.get_ipython",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "IPython.get_ipython",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.a... |
589686899 | import pandas as pd
import numpy as np
import os
os.environ['LIBROSA_CACHE_DIR'] = '/tmp/librosa_cache' # Enable librosa cache
import librosa as lb
import utils_audio_transcript as utils
from csv import reader
from pickle import load, dump, HIGHEST_PROTOCOL
from os.path import isfile
from sklearn.neural_netwo... | null | music_detection.py | music_detection.py | py | 32,916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_n... |
487667760 | #===============================================================================
#
# Pack Compile Test All
#
# GENERAL DESCRIPTION
# Script for compiling all Pack CompileTest Builds
#
# Copyright (c) 2011-2012 by QUALCOMM Technologies, Incorporated.
# All Rights Reserved.
# QUALCOMM Proprietary/GTDR
#
#-------------... | null | office1/nhlos/modem_proc/pack/pack_compile_test_all.py | pack_compile_test_all.py | py | 18,553 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
327216898 | # -*- coding: utf-8 -*-
# run.py for lyp_bridge, lieying_plugin python3 to C# .net bridge, sceext <sceext@foxmail.com>
# version 0.2.0.0 test201509220850
# import
# NOTE try to fix import
try:
from .lib import main
except Exception:
from lib import main
# functions
# exports functions, just call functions ... | null | src/run.py | run.py | py | 517 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "lib.main.GetVersion",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "lib.main",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "lib.main.Install",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "lib.main",
... |
612298893 | #!/usr/bin/env python3
from sys import argv
import numpy as np
from scipy.spatial import Voronoi
def poly_area(verts):
# print('verts =', verts)
tot = 0
for i in range(len(verts)):
j = (i+1) % len(verts)
# print('i =', i, 'j =', j)
tot += verts[i][0] * verts[j][1] - verts[i][1] * vert... | null | day06/chronal_voronoi.py | chronal_voronoi.py | py | 990 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.Voronoi",
"line_number": 33,
"usage_type": "call"
}
] |
233824742 | #Importing the libraries
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#importing the datasets
path = '/Users/apple/Desktop/machine learning template/CLASSIFIER/SVM/'
dataset = pd.read_csv(path + 'pulsar_stars.csv')
X = dataset.iloc[:,:-1].values
y = dataset.iloc[:,-1].values
dataset.columns ... | null | SVM/SVM.py | SVM.py | py | 1,775 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
37810261 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('userstory', '0007_auto_20150429_2108'),
('flujos', '0006_flujo_copia'),
]
operations = [
migrations.AddField(
... | null | apps/flujos/migrations/0007_auto_20150430_0233.py | 0007_auto_20150430_0233.py | py | 694 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AddField",
"line_number": 15,
"usage_type": "call"
},
{
... |
120915876 | """
Tests for pejnet.structure.py
"""
import re
from unittest import mock
import pytest
from pejnet.pipeline.structure import clean_quote
from pejnet.pipeline.structure import jsonify_quote
from pejnet.pipeline.structure import find_character
from pejnet.pipeline.structure import find_quote
from pejnet.pipeline.char... | null | tests/structure_test.py | structure_test.py | py | 1,616 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pejnet.pipeline.structure.clean_quote",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 17,
"usage_type": "attribute"
},
{
"ap... |
206746343 | import os, urllib3
import json
import datetime
http = urllib3.PoolManager()
url = os.environ.get('chime_url')
def format_time(tstamp):
return datetime.datetime.fromtimestamp(float(tstamp)).strftime("%Y-%m-%d %H:%M:%S")
def lambda_handler(event, context):
for record in event['Records']:
item = r... | null | lambda-functions/lambda_notifier.py | lambda_notifier.py | py | 2,398 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.fro... |
220111389 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 23 14:07:34 2017
@author: arvardaz
"""
import os,sys
from glob import glob1
from scipy.misc import imread, imsave
import numpy as np
from time import time
def randomSlice(im):
a = np.random.choice(im.shape[0], 2, replace=False)
b = np.... | null | thesis/misc/generate_image_slices.py | generate_image_slices.py | py | 792 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.choice",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.choice",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.rando... |
508863492 | import os
import sys
import csv
import shutil
import copy
def mixDS(lNames, lLabels):
"""
lNames: list of list of str, names of datasets
lLabels: list of list of list of 5-int box
return: dict, k: str, filename.
v: list of 5-int box, all boxes in the image.
"""
if len(lNames) ... | null | det/functions.py | functions.py | py | 5,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.exit",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
... |
421285580 | __author__ = 'Bouhm'
#Methods that access API and return dictionary/JSON files of data
#d
import requests
import json
import re
import pprint
from constants import URL_RIOT_API as API, API_VERSIONS as VER
class RiotAPIData(object):
def __init__(self, api_key, region='na'):
self.api_key = api_key
... | null | riot_API_data.py | riot_API_data.py | py | 8,596 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "constants.URL_RIOT_API",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "constants.URL_RIOT_API",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "constants.... |
117445673 | #!/usr/bin/python
from __future__ import print_function
import libvirt
import sched, time
CONFIG_FILE = '../vmlist.conf'
global conn
global vmlist
global vmobjlist
global cpulist
global vminfolist
global numpcpu
global s
s = sched.scheduler(time.time, time.sleep)
def get_pcpu():
hostinfo = conn.getInfo()
r... | null | Project 1/test/cpu/monitor.py | monitor.py | py | 1,750 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sched.scheduler",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "libvirt.open",
"li... |
269812988 | from .utils import *
from .ApiKeyGetter import *
from .Crosssection_dialog import CrosssectionDialog
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtSvg import QSvgWidget, QSvgRenderer
from PyQt5.QtWebKitWidgets import QWebView
from qgis.gui import *
from qgis.core import... | null | GeoAtlasQGIS/Crosssection.py | Crosssection.py | py | 18,257 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "processing.core.Processing.Processing.initialize",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "processing.core.Processing.Processing",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "qgis.analysis.QgsNativeAlgorithms",
"line_number": 25,... |
12461874 | import collections
class Solution(object):
def findTargetSumWays(self, nums, S):
"""
:type nums: List[int]
:type S: int
:rtype: int
"""
num_len = len(nums)
dp = [collections.defaultdict(int) for _ in range(num_len + 1)]
dp[0][0] = 1
for i, nu... | null | stacks/target-sum.py | target-sum.py | py | 559 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 11,
"usage_type": "call"
}
] |
523869796 | """
This file is part of SleekBot. http://github.com/hgrecco/SleekBot
See the README file for more information.
"""
import re
import cPickle
import logging
import random
import thread
import time
import copy
from sleekbot.commandbot import botcmd
from sleekbot.plugbot import BotPlugin
import sleekbot.configha... | null | sleekbot/plugins/remember.py | remember.py | py | 6,230 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sleekbot.plugbot.BotPlugin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sleekbot.plugbot.BotPlugin.__init__",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sleekbot.plugbot.BotPlugin",
"line_number": 25,
"usage_type": "name"
},
... |
426027440 | import pyautogui
import time
import win32api
import random
import keyboard
from playsound import playsound
## Configuration
# Set the horizontal limit: 5 means a maximum of 5 pixels to the left or to the right every shot
horizontal_range = 2
# Set the minimum and maximum amount of pixels to move the mouse ev... | null | master recoil.py | master recoil.py | py | 2,142 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "win32api.GetKeyState",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keyboard... |
280268566 | import mysql.connector
import json
import os
''' database was stored locally so fill in the host user password and database based on the profile of your machine '''
mydb = mysql.connector.connect(
host="localhost",
user="username",
password="password",
database="database_name"
)
mycursor = m... | null | stackoversight/flaskapp/database_connect.py | database_connect.py | py | 2,164 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mysql.connector.connector.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector",
"line_number": 7,
"usage_type": "name"
},
{
"api... |
426485300 | """ CSC108 Assignment 3: Social Networks - Starter code """
from typing import List, Tuple, Dict, TextIO
def get_first_name(s: List[str]) -> str:
"""Get a person's first name from string s which elements are words
of his/her name.
>>> get_first_name(['Haley', 'Gwendolyn', 'Dunphy'])
'Haley Gwendo... | null | A3/network_functions.py | network_functions.py | py | 15,705 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 4... |
292854341 | import os
from sys import platform
import jax.numpy as np
import jax.random as random
from jax.scipy.special import logsumexp
from jax import grad, value_and_grad, jit, ops
import matplotlib.pyplot as plt
import scipy.io as sio
import numpy as onp
import time
from scipy.optimize import minimize
from matplotlib.backen... | null | jax_caleb/ssn_multi_probes.py | ssn_multi_probes.py | py | 21,141 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "jax.numpy.array",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "jax.numpy.arange",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "jax.numpy",
"line_numb... |
261313631 | from density_forest.random_forest import get_grid_labels
from density_forest.helpers import get_values_preorder, draw_subsamples
from helpers.helpers import get_padded_im, get_n_patches
from helpers.create_data import data_to_clusters
from matplotlib.pyplot import cm
from matplotlib.patches import Ellipse, Rectangle
im... | null | density_forest/helpers/plots.py | plots.py | py | 17,205 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.offsetbox.OffsetImage",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.atleast_1d",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.offsetbox.AnnotationBbox",
"line_number": 19,
"usage_type": "call"
},
{
... |
472207913 | import os
import numpy as np
from PIL import Image
import torch
import torchvision.transforms as transforms
import dla
image_dir = '/root/data/ODIR-5K_training'
checkpoint_path = '/root/codes/fundus_dla/trained_model/checkpoint_008.pth.tar'
evaluate_txt = '/root/data/ODIR-5K_label/lable2_val.txt'
tested_txt = '/roo... | null | predict.py | predict.py | py | 1,399 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dla.__dict__",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.DataParallel",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
... |
371446853 | import os
import jinja2
def render(tpl_path, context):
path, filename = os.path.split(tpl_path)
return jinja2.Environment(
loader=jinja2.FileSystemLoader(path or './')
).get_template(filename).render(context)
context = {
'callysto_html_url': "http://hub.jupyter.cybera.ca",
'callysto_html_domai... | null | mock_deploy.py | mock_deploy.py | py | 1,152 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.split",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "jinja2.Environment",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "jinja2.FileSystemLoader",
... |
3704188 | import ssl
import socket
import logging
import binascii
import threading
from argparse import ArgumentParser
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def connect_dns_tls_server(dns, ca_path):
# according to: https://tools.ietf.org/html/rfc7858
# opening socket stream conn... | null | proxy.py | proxy.py | py | 4,197 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.socket",... |
3551452 | from django.shortcuts import render, redirect, get_object_or_404
from .models import Contact
from .forms import ContactForm, NoteForm
# Create your views here.
def list_contacts(request):
contacts = Contact.objects.all()
return render(request, "contacts/list_contacts.html", {"contacts": contacts})
def conta... | null | contacts/views.py | views.py | py | 2,312 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Contact.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Contact.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Contact",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dj... |
5704120 | #!/usr/bin/python3.9
import os
os.chdir('root/Github/BenchyBot')
import discord
from discord.ext import commands
import sys
import platform
import datetime
import json
import database
import TerminalLogger
import logging
logger = logging.getLogger('discord')
logger.setLevel(logging.INFO)
handler = logging.FileHandl... | null | main.py | main.py | py | 3,657 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
... |
93008823 | from django.shortcuts import render_to_response
import os
import urllib
def rank(request):
# module_dir = os.path.dirname(__file__) # get current directory
# file_path = os.path.join(module_dir, 'apr.txt')
# apr_file = open('http://s3.amazonaws.com/match-history/apr.txt','r')
opener = urllib.URLopener()
apr_fi... | null | rank/views.py | views.py | py | 1,251 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.URLopener",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 44,
"usage_type": "call"
}
] |
432347511 | # coding: utf-8
"""
Database access layer for pydici staffing module
@author: Sébastien Renard (sebastien.renard@digitalfox.org)
@license: AGPL v3 or newer (http://www.gnu.org/licenses/agpl-3.0.html)
"""
from django.db import models, connections
from django.db.models import Sum, Min
from django.utils.translation impor... | null | staffing/models.py | models.py | py | 22,039 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 29,
"usage_type": "call"
},
{
"ap... |
253968631 | import sys
import os
import time
from lxml import etree
from selenium import webdriver
def get_comments(project_comments_url):
# Opens project comments page
driver = webdriver.Firefox()
driver.get(project_comments_url)
print("Comments loading", flush=True)
# Get comments container and buttons to... | null | kingmaker.py | kingmaker.py | py | 4,647 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "lxml.etree.f... |
353477719 | import logging
import os
import re
import sys
from os.path import dirname, isdir, isfile, join, realpath
import aspen
from aspen import resources, sockets
from nose.tools import with_setup
def convert_path(path):
"""Given a Unix path, convert it for the current platform.
"""
return os.sep.join(path.split... | null | aspen/tests/fsfix.py | fsfix.py | py | 3,229 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.sep.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number"... |
102112404 | # -*- coding: utf-8 -*-
from bson.objectid import ObjectId
from pyramid.security import (
Allow,
Deny,
Everyone,
Authenticated,
ALL_PERMISSIONS
)
from pyramid.traversal import find_root
class Resource(dict):
def __init__(self, ref, parent, **kwargs):
super().__init__(**kwargs)
... | null | hel/resources.py | resources.py | py | 3,711 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyramid.security.Allow",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "pyramid.security.ALL_PERMISSIONS",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "pyramid.security.Allow",
"line_number": 32,
"usage_type": "name"
},
{
"ap... |
402689318 | #!/usr/bin/env python
# coding=UTF-8
'''
@Description:
@Author: Raysuner
@Github: https://github.com/Raysuner
@LastEditors: Raysuner
@Email: 17775306795@163.com
@Date: 2019-05-09 19:14:40
@LastEditTime: 2019-05-24 16:04:07
'''
import datetime
train_dir = './project/Subscribe/dataset/train/'
test_dir = './project/Su... | null | my_dataset.py | my_dataset.py | py | 981 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 32,
"usage_type": "attribute"
}
] |
32472078 | """Admin posts"""
# Django
from django.contrib import admin
from django.utils.html import mark_safe
# Models
from posts.models import Post
@admin.register(Post)
class PostsUsers(admin.ModelAdmin):
list_display = ('title', 'photo', 'user', 'created')
search_fields = (
'title',
'user__username'... | null | posts/admin.py | admin.py | py | 875 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.utils.html.mark_safe",
"line_number": 36,
"usage_type": "call"
},
{
... |
531985784 | #!/usr/bin/python3
import json
def process(r, w):
with open(r, 'r') as file:
tweets_hash = json.load(file)
tweets = []
for key in sorted(tweets_hash.keys()):
tweets.append(tweets_hash[key])
import csv
with open(w, 'w', newline='', encoding='utf-8') as file:
csv_writer = csv.writer(file, deli... | null | src/new/osn-data/02etl_json_csv.py | 02etl_json_csv.py | py | 642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
}
] |
100748362 | import datetime
import numpy as np
import itertools
import tarfile
import os
def synthesize_route(station_lists):
"""
Given a list of station lists (that is: a list of lists, where each sublist consists of the series of stations
which a train was purported to be heading towards at any one time), returns t... | null | gtfs_tripify/utils.py | utils.py | py | 5,754 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "tarfile.open",
"line_... |
286305266 | import pandas as pd
import numpy as np
from sklearn.svm import LinearSVC
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsClassifier
# %matplotlib inline
np.set_printoptions(precision=2)
data = pd.read_csv(r'car.data.txt', encoding='utf-8', header... | null | SVM.py | SVM.py | py | 2,363 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.mode... |
64763087 | from setuptools import setup
import pybitturk
with open("README.md", "r") as f:
README = f.read()
with open("requirements.txt", "r") as f:
DEPS = f.readlines()
with open("dev.requirements.txt", "r") as f:
TEST_DEPS = f.readlines()
GITHUB_RELEASE_URL = "https://github.com/erayerdin/pybitturk/archive/v{}... | null | pypi_install_script/pybitturk-0.1.0a2.tar/setup.py | setup.py | py | 1,552 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pybitturk.__version__",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pybitturk.__version__",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name":... |
612883678 | #!/usr/bin/env python
# coding: utf-8
# Lab 2 Report
# Cedric Kong & Tyan Trinh
# In[19]:
get_ipython().run_line_magic('matplotlib', 'notebook')
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import scipy
from scipy.io import wavfile as wav
from scipy import signal as sig
import simpleaudio as... | null | Lab2-CK.TT.py | Lab2-CK.TT.py | py | 3,100 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "decimal.Decimal",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "scipy.signal.resample_poly",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.arange"... |
75458878 | # status를 이용해서 최소 3개이상 이니셜 되어 있어야 한다고 표시
# sender = self.sender()
# self.statusBar().showMessage("")
import sys
import random
import time
from PyQt5.QtMultimedia import QSound
from PyQt5.QtCore import (
Qt,
QBasicTimer
)
from PyQt5.QtGui import (
QBrush,
QPixmap
)
from PyQt5.QtWidgets import (
QApp... | null | YoungSeo/Main/CustomizeScreen.py | CustomizeScreen.py | py | 11,148 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": ... |
351519495 | import sys
from enum import Enum
import logging
import curses
import curses.ascii
from curses import wrapper
import argparse
import time
from zmachine.interpreter import Story,Interpreter,OutputStream,OutputStreams,Memory,QuitException,\
StoryFileException,InterpreterException,Memory... | null | experiments/debug.py | debug.py | py | 20,174 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "zmachine.interpreter.pc",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "zmachine.interpreter",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "zmachine.interpreter.instruction_at",
"line_number": 48,
"usage_type": "call"
},
{
... |
544615656 | import cv2
import cv2.aruco as aruco
import numpy as np
from picamera.array import PiRGBArray
from picamera import PiCamera
import time
import math
import glob
#detects aruco markers in an image and the angle
def getAngle(img, height, width, corners, ids, currentMarker):
#finding angle
FIELDOFVIEW = 54
c... | null | FinalDemo/Raspberry Pi/CameraFunctions.py | CameraFunctions.py | py | 4,741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "cv2.TERM_CRITERIA_EPS",
"line... |
341013650 | import os
import numpy as np
import scipy.misc
import h5py
import cv2
import tensorflow as tf
np.random.seed(123)
# loading data from .h5
class DataLoaderH5(object):
def __init__(self, **kwargs):
self.load_size = int(kwargs['load_size'])
self.fine_size = int(kwargs['fine_size'])
self.data_m... | null | model/tensorflow/DataLoader.py | DataLoader.py | py | 8,960 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_n... |
596074700 | from copy import deepcopy
from itertools import count, zip_longest
from typing import Any, Generator, List
EMPTY = "L"
OCCUPIED = "#"
FLOOR = "."
def neighborsv1(matrix: List[List[Any]], i: int, j: int) -> Generator[Any, None, None]:
indices = [
(i, j + 1),
(i, j - 1),
(i + 1, j),
... | null | year2020/d11.py | d11.py | py | 2,953 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Generator",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numbe... |
12577151 | #!/usr/bin/python3
#
# Output the package set that would be installed if the packages on the cmdline were installed
#
import os
import sys
import dnf
import argparse
import tempfile
from pykickstart.errors import KickstartError
from pykickstart.parser import KickstartParser
from pykickstart.version import DEVEL, make... | null | depsolve-ks.py | depsolve-ks.py | py | 5,040 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
... |
496437679 | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
#
# Copyright 2017, Battelle Memorial Institute.
#
# 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... | null | MixMarketServiceAgent/setup.py | setup.py | py | 3,024 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.find_packages",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.p... |
172376313 | from django.conf.urls import patterns, url
from sandman import views
urlpatterns = patterns('',
url(r'^$', views.index, name='index'),
url(r'^ajax/$', views.ajax, name='ajax'),
url(r'^dom/$', views.dom, name='dom'),
url(r'^help/$', views.help, name='help'),
url(r'^charmed/$', vi... | null | sleep_app/sandman/urls.py | urls.py | py | 533 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sandman.views.index",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "... |
450545777 | from sklearn.datasets import fetch_20newsgroups
from sklearn.decomposition import TruncatedSVD
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import Normalizer
from sklearn import metrics
from sklearn.cluster import AgglomerativeClusteri... | null | Agglomerative-Clustering-20.py | Agglomerative-Clustering-20.py | py | 2,290 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 23,
"usage_type": "call... |
1771272 | #!/usr/bin/python3
import urllib
import urllib.request
import sys
import json
# equipe 7 (lp)
API_TOKEN="b9f4e922-345d-4a56-9eac-20158a493c8e" # token de l'equipe
NUM_PROBLEM = int(sys.argv[1]) # numero du probleme
def envoyer_solution(solution):
PRIVATE_URL='http://icfp15.de-falco.fr/teams/private/' + API_TOKE... | null | envoie_solution.py | envoie_solution.py | py | 710 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.Request",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",... |
64085660 | #!/usr/bin/env python
"""
support for netcdf XRD files from **DETECTOR NAME**
in Epics Mapping Mode -- copied from xmap_netcdf.py (larch plugins)
mkak 2016.07.06
"""
import numpy as np
import os
import copy
from copy import deepcopy
## Package for reading netcdf files (in scipy)
try:
import scipy.io.netcdf
ne... | null | plugins/xrmmap/xrd_netcdf.py | xrd_netcdf.py | py | 1,361 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "scipy.io.netcdf.io",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.netcdf",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "os.stat",
"line_number": 44,
"usage_type": "call"
}
] |
577947235 | #!/usr/bin/env python
# coding: utf8
import random
import requests
from flask import Flask, make_response, render_template
from flask import session, request, redirect, url_for
from aes import AESCipher
from mysql.connector.pooling import MySQLConnectionPool
import os
import hashlib
import logging
import argparse
fr... | null | report.py | report.py | py | 7,486 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.timedelta",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
61416439 | # 15-112: Principles of Programming and Computer Science
# Project: Camera Object/Tracking, Drawing and Image Manipulation
# Name : Mohammad Al-Sooj
# AndrewID : msooj
# File Created: 5-11-2017
# Modification History:
# Start End
# 5/11 9:30 AM 5/11 1:00 PM
... | null | msoojProject.py | msoojProject.py | py | 19,704 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackbar",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "cv2.createTrackba... |
83117448 | # main imports
import logging
import os
import random
# module imports
from macop.solutions.BinarySolution import BinarySolution
from macop.evaluators.EvaluatorExample import evaluatorExample
from macop.operators.mutators.SimpleMutation import SimpleMutation
from macop.operators.mutators.SimpleBinaryMutation import S... | null | examples/knapsackExample.py | knapsackExample.py | py | 2,246 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"li... |
21100570 | import os
from nose.tools import assert_equal
import sqlplain
from sqlplain.util import abspath, PatchAttr, when_available
thisdir = os.path.dirname(__file__)
def test_abspath():
testdir = abspath('test', sqlplain)
assert testdir == thisdir, testdir
def test_PatchAttr():
class C(object):
a = 1
... | null | test/test_util.py | test_util.py | py | 1,443 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sqlplain.util.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlplain.util.PatchA... |
585066962 | from src.common import FileHandler
from typing import Tuple, List
import pandas
import numpy
import os
class XLSXHandler:
REQUIRED_COLUMNS = (
'name',
'surname',
'email',
'password',
'phone number'
)
@staticmethod
def read_xlsx(filename: str) -> pandas.DataFra... | null | src/xlsx/XLSXHandler.py | XLSXHandler.py | py | 1,626 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_excel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os._exit",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "src.common.FileHandl... |
368430469 | from collections import Counter
class Solution:
def findAnagrams(self, s: str, p: str) -> List[int]:
target_freq = Counter(p)
start = end = 0
char_freq = Counter()
result = []
while end < len(s):
char = s[end]
char_freq[char] += 1
... | null | leetcode/find_all_anagrams_in_a_string.py | find_all_anagrams_in_a_string.py | py | 669 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.Counter",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
}
] |
427285493 | import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
desired_cap = {
'acceptSslCerts': True,
'javascript_enabled': True,
'browser': 'Chrome',
'browser_version': '80.0',
'os': 'Windows',
'os_versi... | null | behave-sample-02/features/browserstack-lms-qa.py | browserstack-lms-qa.py | py | 790 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Remote",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
}
] |
132222108 | import numpy as np
np.random.seed(1337)
from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout, Conv2D, MaxPooling2D, Flatten
import matplotlib.pyplot as plt
from keras.datasets import mnist
from keras.optimizers import RMSprop
from keras.utils import np_utils
# data preprocessing
(X_... | null | keras_classifier_0to9.py | keras_classifier_0to9.py | py | 1,718 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "kera... |
153854487 | #!/usr/bin/env python3
"""
Determine the approriate destination for a completed transmission torrent download.
See the [[file:~/.dotfiles/programs/transmission/README.org][README]].
"""
import os
import sys
import json
import logging
import pathlib as p
from watch_config import WatchConfig
def Path(path):
retur... | null | programs/transmission/scripts/dest_path.py | dest_path.py | py | 5,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.warning",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logging.warning",
... |
265221921 | """AdaGrad optimization algorithm."""
import numpy as np
from ._base import BaseOptimizer
from ..utils.validation import check_float
class AdaGrad(BaseOptimizer):
r"""The AdaGrad algorithm.
The AdaGrad (*adaptive gradient*) algorithm [1]_ is a modification of
gradient descent that individually adapts t... | null | deeplib/optimizer/_adagrad.py | _adagrad.py | py | 2,801 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "_base.BaseOptimizer",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.validation.check_float",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "utils.validation.check_float",
"line_number": 57,
"usage_type": "call"
},
{
"api_... |
286476598 | # python test shapefiles
import os
try:
from osgeo import ogr, osr
except:
import ogr. osr
# Get Shapefile Feature Count
with open("output.txt", "w") as a:
for path, subdirs, files in os.walk(r'.'):
for filename in files:
f = os.path.join(path, filename)
if f.endswith(".s... | null | tutotial_data/shapefy.py | shapefy.py | py | 2,999 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.walk",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "osgeo.ogr.GetDriverByName",
"li... |
442141112 | import torch
import torch.nn as nn
import torch.nn.functional as F
# TODO: Change code to deal with multiple environments input
class Manager(nn.Module):
def __init__(self, num_actions):
super(Manager, self).__init__()
self.fc = nn.Linear(num_actions * 16, num_actions * 16)
# todo: change ... | null | lstm_a2c/model.py | model.py | py | 4,173 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
59696634 | #!/usr/bin/python
# author: cssidy
# Posts Lenny emoji in response to creeper-potential comments.
# ( ͡° ͜ʖ ͡°)
# open Reddit in browser
# run script from terminal
# refresh browser to see changes
# enter ctrl+c in terminal to stop script
# WARNING! may get your account suspended, or many angry inbox messages
# for ... | null | lenny_bot.py | lenny_bot.py | py | 760 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "praw.Reddit",
"line_number": 20,
"usage_type": "call"
}
] |
292467704 | #!/usr/bin/env python
import os
import sys
import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
def fpte_rmsd():
if (
(not os.path.exists("CONTCAR"))
or (not os.path.exists("OUTCAR"))
or (not os.path.exists("OSZICAR"))
):
sys.exit(
"\n.... Oo... | null | FPTE/FPTE_RMSD.py | FPTE_RMSD.py | py | 2,014 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
624147536 | #!/bin/bash
from scipy.signal import convolve2d
from misio.optilio.lost_wumpus import run_agent
from misio.lost_wumpus.testing import test_locally
from misio.lost_wumpus.agents import SnakeAgent, AgentStub, RandomAgent
from misio.lost_wumpus._wumpus import Action, Field
import numpy as np
optilio_mode = True
debug_mo... | null | optilio/lab3.py | lab3.py | py | 7,602 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "misio.lost_wumpus._wumpus.Action",
"line_number": 32,
"usage_type": "name"
},
{
"api... |
93830627 | import requests
from bs4 import BeautifulSoup
url = "http://www.mzitu.com/"
header = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36",
"Referer": "http://www.mzitu.com/",
}
#
# response = requests.get(url, he... | null | blog/meinv.py | meinv.py | py | 849 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
}
] |
102339879 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('invigilator', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Institution',
fields=[... | null | invigilator/migrations/0002_auto_20150402_1542.py | 0002_auto_20150402_1542.py | py | 886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
413905757 | import time
import texttable as tt
import os
import requests
import re
import pywikibot.family
# take out one of the comment from below
#p = PageviewsClient('Amit')
#p = PageviewsClient('Zac')
from Delete_page import *
from Access_time_detection import *
from Checking_edit_time_of_page import *
from Compare_edit_tim... | null | core/Milestone1_final.py | Milestone1_final.py | py | 14,619 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 40,
... |
221221975 | """
Frontend which scrobbles the music you play to your `Last.fm
<http://www.last.fm>`_ profile.
.. note::
This frontend requires a free user account at Last.fm.
**Dependencies:**
.. literalinclude:: ../../../requirements/lastfm.txt
**Settings:**
- :attr:`mopidy.settings.LASTFM_USERNAME`
- :attr:`mopidy.setti... | null | mopidy/frontends/lastfm.py | lastfm.py | py | 4,033 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mopidy.exceptions.OptionalDependencyError",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mopidy.exceptions",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api... |
162897479 | #encoding=utf8
import pandas as pd
import pymongo
import pdb
def get_risk_comp_classify():
f = open("./risk_comp_classify_tmp.txt","a+")
df = pd.read_csv("/home/siyuan/bond_risk/bond_risk_sec/pic/bond/result2018-04-26_19:31:15.csv")
conn = pymongo.MongoClient("mongodb://10.6.5.32:27017")
db = conn['myDB']
co... | null | BondRisk/risk_dbscan_classify_with_comp.py | risk_dbscan_classify_with_comp.py | py | 747 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
}
] |
421568075 | from .document import Document
import os
import re
import spacy
from tqdm import tqdm
import numpy as np
from collections import defaultdict
from torch.utils.tensorboard import SummaryWriter
class Embeder:
def __init__(self, corpus_dir):
self._data = self._load_data(corpus_dir)
def _load_data(self, ... | null | src/embeder.py | embeder.py | py | 2,548 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "spacy.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
... |
58040973 | from flask import Flask, request, Response
import logging
import requests
import os
import json
app = Flask(__name__)
logger = None
format_string = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logger = logging.getLogger('snowstorm')
# Log to stdout
stdout_handler = logging.StreamHandler()
stdout_handler.s... | null | service/main.py | main.py | py | 1,721 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.Formatter"... |
66536269 | # -*- coding: utf-8 -*-
"""
Created on Tue Feb 10 10:52:24 2015
@author: markus
"""
from __future__ import print_function
from argparse import ArgumentParser
#%%
def add_start_stop(in_file, n = 1):
line_count = 0 # current line
lines = [] # lines
last_line_newline = False # bool that indicates if l... | null | code/partA/start_stop_adder.py | start_stop_adder.py | py | 2,356 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 63,
"usage_type": "call"
}
] |
637840192 | from re import compile
from django.conf import settings
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from .models import InvitationToken
INVITATION_EXEMPT_URLS = [
compile(r'^%s/?' % reverse('django_rocket:request_invitation').lstrip('/')),
compile(r'^%s/?' % rever... | null | django_rocket/middleware.py | middleware.py | py | 1,263 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.urlr... |
161674698 | # QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean CLI v1.0. Copyright 2021 QuantConnect Corporation.
#
# 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... | null | lean/models/products/security/equity_option.py | equity_option.py | py | 4,134 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "enum.Enum",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "lean.models.products.security.base.SecurityMasterSecurityProduct",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "lean.models.products.security.base.DataType",
"line_number": 46,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.