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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
601491193 | # -*- coding: utf-8 -*-
#
# Copyright 2018 - Swiss Data Science Center (SDSC)
# A partnership between École Polytechnique Fédérale de Lausanne (EPFL) and
# Eidgenössische Technische Hochschule Zürich (ETHZ).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compli... | null | services/singleuser/setup.py | setup.py | py | 2,651 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 58,
"usage_type": "call"
}
] |
650252051 | #!/usr/bin/env python
###############################################################################
# This script is used to refresh the access and refresh tokens for an
# institution's Box account. Note that this is a very preliminary script, in
# that it assumes that the active BackendProvider is a Box account. Wh... | null | Mylocker-Upgrade-master/refresh_fs_provider_access_token.py | refresh_fs_provider_access_token.py | py | 4,813 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
639879091 | import json
import boto3
from botocore.exceptions import ClientError
def fortune(event, context):
dynamodb = boto3.resource('dynamodb')
table = dynamodb.Table('fortunes')
response = table.scan()
tostring = ''
for i in response['Items']:
tostring += str(i.get('quote')) + '\n'
# pri... | null | handler.py | handler.py | py | 1,539 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "boto3.resource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "botocore.exceptions.ClientError",
"line_number": 58,
"usage_type": "name"
}
] |
617512635 | from django.shortcuts import render, get_object_or_404
from django.shortcuts import redirect
from django.views.generic import TemplateView
from .models import Project
from django.utils import timezone
from .forms import ProjectForm
from django.contrib.auth import get_user
# Create your views here.
class HomePageView(... | null | projects/views.py | views.py | py | 1,842 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Project.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
... |
625094586 | """
Wrapper module around a Sublime Text 3 view for showing a terminal look-a-like
"""
import collections
import time
import sublime
import sublime_plugin
from . import terminal_emulator
class SublimeTerminalBuffer():
def __init__(self, sublime_view, title, logger, syntax_file=None):
self._view = sublim... | null | sublime_terminal_buffer.py | sublime_terminal_buffer.py | py | 14,568 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sublime.load_settings",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "sublime.active_window",
... |
295414683 | import sys
from SheetsUpdater import *
from EndSession import EndSession
from PyQt5.QtWidgets import (QWidget, QPushButton, QLineEdit, QVBoxLayout, QHBoxLayout, QInputDialog, QApplication, QLabel, QGridLayout, QCheckBox, QListWidget)
from PyQt5.QtGui import QPainter, QColor, QFont
from PyQt5.QtCore import Qt
class Vol... | null | VolunteerSignIn.py | VolunteerSignIn.py | py | 3,738 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
189525670 | import re
from matplotlib import pyplot as plt
import numpy as np
def count_function(filepath):
try:
i = 0
function_dict = {}
with open(filepath, 'r+') as f:
line = f.readline().strip()
while len(line)!=0:
if 'Function' in line:
it... | null | count/count_function.py | count_function.py | py | 1,708 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.split",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.split",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",... |
422556666 | from django.shortcuts import render
import pickle
def home(request):
return render(request,'index.html')
def result(request):
age = request.GET['age']
medu = request.GET['medu']
fedu = request.GET['fedu']
travelTime = request.GET['travelTime']
studyTime = request.GET['studyTime']
... | null | SPA/views.py | views.py | py | 7,293 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 261,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 281,
"usage_type": "call"
}
] |
552436125 | # coding:utf-8
import asyncio
import os
import signal
import time
from functools import partial
from inspect import isawaitable
CURRENT_TIME = None
def update_current_time(loop):
global CURRENT_TIME
CURRENT_TIME = time.time()
loop.call_later(1, partial(update_current_time, loop))
log = print # tod... | null | zk_sanic/app.py | app.py | py | 5,219 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "functools.partial",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.Protocol",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "inspect.isawaitable... |
361139208 | from cement import Controller, ex
def get_pool_members(conn, pool_id):
memberdata = {}
members = conn.load_balancer.members(pool_id)
for member in members:
memberdata[member.id] = {
'project_id': member.project_id,
'name': member.name,
'provisioning_status': mem... | null | occ/controllers/loadbalancer.py | loadbalancer.py | py | 3,519 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cement.Controller",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "cement.ex",
"line_number": 81,
"usage_type": "call"
}
] |
123991521 | import pygame, sys
from pygame.locals import *
WINDOWWIDTH = 400 # Chiều dài cửa sổ
WINDOWHEIGHT = 300 # Chiều cao cửa sổ
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = ( 0, 255, 0)
pygame.init()
### Xác định FPS ###
FPS = 60
fpsClock = pygame.time.Clock()
DISPLAYSURF = pygame.display.s... | null | code/ki_1/python/pygame/chuyen dong.py | chuyen dong.py | py | 1,168 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mod... |
536284272 | api_key = 'apikey'
import vk_api
import time
import random
import datetime
import news
vk = vk_api.VkApi(token=api_key)
vk._auth_token()
now = datetime.datetime.now()
time = now.strftime("%d-%m-%Y %H:%M")
while True:
try:
messages = vk.method("messages.getConversations", {"offset": 0, "count": 20, "fil... | null | main.py | main.py | py | 1,746 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "vk_api.VkApi",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "news.search_... |
135193487 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 8 17:52:38 2018
@author: rita
Pragmatrix Main Script
"""
# Imports
import os
import requests
import re
from collections import OrderedDict
#import gensim
#import spacy
import pickle
from tqdm import tqdm
from nltk.tokenize import sent_tokenize
... | null | Code/pragmatrix_main_script.py | pragmatrix_main_script.py | py | 8,525 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": ... |
437155711 | ### <summary>
### Simulator for AI Statistics
###
### </summary>
from QuantConnect.Orders import *
from QuantConnect.Orders.Fills import *
from QuantConnect.Orders.Fees import *
from QuantConnect.Orders import OrderStatus
import os
from sys import getsizeof as getsizeof
import shutil
from datetime import datetime, t... | null | Algorithm.Python/Dev_Stat8_B_fw1_0/sim.py | sim.py | py | 18,979 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"... |
315461781 | # -*- coding: utf-8 -*-
from os.path import abspath, join, exists
import numpy as np
import utool as ut
import vtool as vt
import random
import uuid
import tqdm
import cv2
# ibs = None
MIN_AIDS = 1
MAX_AIDS = np.inf
MAX_NAMES = np.inf
PADDING = 32
url = 'https://kaiju.dyn.wildme.io/public/random/humpback.crc.csv'... | null | export.kaggle7.py | export.kaggle7.py | py | 11,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.inf",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.inf",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "utool.download_url",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
... |
309115353 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^mapdemo/$', views.mapdemo, name="mapdemo"),
url(r'^mapdemo2/$', views.mapdemo2, name="mapdemo2"),
url(r'^mapdemo3/$', views.mapdemo3, name="mapdemo3"),
url(r'^(?P<album_id>[0-9]+)/$', views.detail, n... | null | User Interface/music/urls.py | urls.py | py | 336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
279861378 | from InfluenceGraph import InfluenceGraph, random_subgraph
import numpy as np
from scipy.misc import comb
from numpy import log2, log
import operator
class TIM:
"""----------------------------------------------------------------
This is the implementation of TIM (Two-phase Influence Maximization)
algorithm from
... | null | TIM.py | TIM.py | py | 3,224 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "InfluenceGraph.InfluenceGraph",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "numpy.lo... |
400393310 | import json
import logging
import os
import uuid
import shutil
from logic.metadata import Metadata
class Fs():
STATUS_FILE = "_status_"
"""
Filesystem folder as a storage place for tasks with ids.
"""
def __init__(self, path:str):
self._path = path
if not os.path.exists(path):
... | null | mlinferer/logic/fs.py | fs.py | py | 2,240 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number... |
417735726 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 5 20:18:07 2020
@author: cvicentm
"""
from tqdm import tqdm
import pandas as pd
import numpy as np
# mis importaciones
from modules.pre import create_corpus as c
def more_important_words_by_day(dic_subtitles,corpus,id2word,model,day):
"""model is tfidf model"""
... | null | modules/lsa/tfidf.py | tfidf.py | py | 2,831 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tqdm.tqdm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 2... |
382153722 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pickle
import redis
from ray.utils import (decode, binary_to_object_id, binary_to_hex,
hex_to_binary)
# Import flatbuffer bindings.
from ray.core.generated.TaskInfo import TaskIn... | null | python/ray/experimental/state.py | state.py | py | 8,400 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "redis.StrictRedis",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "ray.utils.binary_to_hex",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "ray.core.generated.ResultTableReply.ResultTableReply.GetRootAsResultTableReply",
"line_number": 90,... |
301538868 | import enum
import os
import pathlib
import re
from logging import getLogger
from google.cloud import storage
from jinja2 import BaseLoader, Environment, FileSystemLoader
logger = getLogger(__name__)
class SourceType(enum.Enum):
FS = "fs"
GCS = "gcs"
def __str__(self):
return self.name
class ... | null | src/stairlight/template.py | template.py | py | 5,832 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.fullmatch",
"lin... |
81419389 | # -*- coding: utf-8 -*-
from django.contrib import admin
from django import forms
from django.db import models
from pages.models import Page, InfoBlock
from treeadmin import TreeAdmin
from gallery.admin import GalleryInline
class PageAdmin(TreeAdmin):
fieldsets = [
(None, {
'fiel... | null | pages/admin.py | admin.py | py | 1,261 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "treeadmin.TreeAdmin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.db.models.ManyToManyField",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 30,
"usage_type": "name"
},
{
"api_na... |
142696537 | #!/usr/bin/env python
from argparse import ArgumentParser
from CommonLib import *
from Hash import *
DeleteCfgTagNames = [
'Name',
'ConfigFileList'
]
def GetSpeedStats(log_file_path, number_of_frames):
__file = open(log_file_path)
__lines = __file.readlines()
__file.close()
__fps_list = []
... | null | scripts/TestCodec.py | TestCodec.py | py | 9,870 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 62,
"usage_type": "call"
}
] |
317328056 | import os, sys
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
def get_directory_from_id_openmind(root, id:int):
kinect_set = root + "/Kinect"
kinects = ["/Kin01", "/Kin02"]
subjects = ["/S01", "/S02", "/S03", "/S04", "/S05", "/S06", "/S07", "/S08", "/S09", "/S10"... | null | read_eval_losses.py | read_eval_losses.py | py | 1,660 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.subplots",
... |
196790586 | ###############################
## Collector/confirmation.py
## Part of the Silverback Voting System
## By: Kevin Butterfield
##
## This file holds resources relating to location confirmation.
## This is an optional step in the election that, if used, allows for final voting locations to be consise.
## It... | null | Collector/Core/confirmation.py | confirmation.py | py | 4,566 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Event",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "common.election",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "common.log",
"line... |
39874722 | # -*- coding utf-8 -*-
import os.path
import pandas as pd
import numpy as np
import DataAccessBase
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.optimizers import Adam
from keras.callbacks import EarlyStopping, CSVLogger
from keras.utils.vis_utils impo... | null | Keiba-4_cnn.py | Keiba-4_cnn.py | py | 5,851 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "keras.layers.advanced_activations.LeakyReLU",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 34,
"usage_type": "call"
},
{
... |
584499988 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import re
import csv
import subprocess as sub
from datetime import date
STEP2_DIR = '/data/step2'
OUTPUT_TEST_DIR = '%(root)s/year=%(year)s/month=%(month)s/day=%(day)s'
INPUT_TEST_FILE = '/data/step1/in/'
INPUT_TEST_DIR = INPUT_TEST... | null | test.py | test.py | py | 4,642 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.writer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_MINIMAL",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "datetime.date.today",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.date",... |
494166573 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$',views.index, name = 'index'),
url(r'^home/',views.index, name = 'index'),
url(r'^deuses/',views.deuses, name = 'deuses'),
url(r'^deuses7/',views.deuses7, name = 'deuses7'),
url(r'^deuses15/',views.deuses15, name ... | null | mysite/blogapp/urls.py | urls.py | py | 656 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
632604992 | from PIL import Image, ImageFilter
import os
import struct
base = [str(x) for x in range(10)] + [ chr(x) for x in range(ord('a'),ord('a')+6)]
def imageprepare(argv):
im = Image.open(argv).convert('L')
width = float(im.size[0])
height = float(im.size[1])
if width > 28:
img = im.resize((28, 28),... | null | test2.py | test2.py | py | 2,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
"line... |
219079508 | import unittest
import os
from configobj import ConfigObj
from E3SMDiags import E3SMDiags
from lib.events import Event_list
class TestE3SM(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(TestE3SM, self).__init__(*args, **kwargs)
config_path = os.path.join(os.getcwd(), 'tests', 't... | null | jobs/test_e3sm.py | test_e3sm.py | py | 3,204 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"lin... |
333044212 | from typing import List, Tuple
import importlib
import importlib.util
import builtins
import os
import ast
import traceback
from machaon.core.docstring import parse_doc_declaration
from machaon.core.symbol import full_qualified_name
def module_loader(expr=None, *, location=None):
if location:
if expr is ... | null | machaon/core/importer.py | importer.py | py | 19,435 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ast.PyCF_ONLY_AST",
"line_number": 104,
"usage_type": "attribute"
},
{
"api_name": "ast.get_docstring",
"line_number": 105,
"usage_type": "call"
},
{
"api_name": "machaon.core.docstring.parse_doc_declaration",
"line_number": 110,
"usage_type": "call"
},
... |
70014876 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This module provides helper functions to georegister (add geo-referenced \
coordinates) to raster-based (image) data products. This module makes \
extensive use of osgeo.gdal.Dataset and osgeo.gdal.Dataset.GetGeoTransform
"""
from osgeo import osr
import numpy as np
... | null | PFILT/create_docker/navfeatdb/build/lib/navfeatdb/frames/coverage2d.py | coverage2d.py | py | 5,721 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.hstack",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 56... |
32374477 | from . import views
from django.urls import path
urlpatterns = [
path('', views.homepage, name='home'),
path('new', views.newpage, name='new'),
path('sell', views.sell, name='sell'),
path('<slug:old_product_slug>/', views.detail, name='detail'),
path('new/<slug:product_slug>/', views.newdetail, na... | null | ecom_web/sell/urls.py | urls.py | py | 338 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
455974795 | import urllib3
from bs4 import BeautifulSoup
class DownloadDoc:
def __init__(self, url: str='', config: dict={}):
self._searched_links = []
self._failed_links = []
self._all_links = []
self._doc_links = []
self.error = ''
self.config = self._default_config()
... | null | downloadoc.py | downloadoc.py | py | 2,973 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.PoolManager",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "urllib3... |
408790756 | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.metrics import confusion_matrix
# import some data to play with
data = pd.read_csv('data/pollo_results.csv')
names = pd.read_csv('data/pollo_classes.csv')
labels = names['label'].as_matrix()
y = data['y'].as_matrix()
y_pred = data['y_p... | null | caffe/confusion.py | confusion.py | py | 1,044 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.cm",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.py... |
41253307 | #%%
import sys
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
plt.rcParams['font.size'] = 6
root_path = os.path.dirname(os.path.abspath('__file__'))
# root_path = os.path.abspath(os.path.join(root_path,os.path.pardir))
graphs_path = root_path+'/graph/'
print("root path:{}".format(root_... | null | results_analyze/plot_hind_forecsing_testing_metrics.py | plot_hind_forecsing_testing_metrics.py | py | 8,755 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.pat... |
61007114 | import unittest
from datetime import datetime
from pathlib import Path
import pytest
import sleap_io
from hdmf.testing import TestCase
from parameterized import param, parameterized
from pynwb import NWBHDF5IO
from neuroconv import NWBConverter
from neuroconv.datainterfaces import DeepLabCutInterface, SLEAPInterface,... | null | tests/test_on_data/test_gin_behavior.py | test_gin_behavior.py | py | 11,670 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setup_paths.BEHAVIOR_DATA_PATH.exists",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "setup_paths.BEHAVIOR_DATA_PATH",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pytest.fail",
"line_number": 21,
"usage_type": "call"
},
{
"... |
461162378 | import os
from flask import Flask, request, jsonify, abort
from sqlalchemy import exc
import json
from flask_cors import CORS
from .database.models import db_drop_and_create_all, setup_db, Drink, db
from .auth.auth import AuthError, requires_auth
app = Flask(__name__)
setup_db(app)
CORS(app)
'''
!! NOTE THIS WILL DR... | null | projects/03_coffee_shop_full_stack/starter_code/backend/src/api.py | api.py | py | 4,457 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "database.models.setup_db",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "database.models.... |
596310078 | """
Django settings for demo project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
impor... | null | libs/demo/demo/settings.py | settings.py | py | 6,783 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
624837671 | import matplotlib.pyplot as plt
import numpy as np
from scipy.signal import chirp
t = np.zeros(1000000)
y = np.zeros(1000000)
t = np.linspace(0,0.01,1000000)
y[0:500000] = chirp(t[0:500000],f0=500.0,f1=10000,t1=0.005)
#datab1x = np.loadtxt('./AA.S0001.BXX.semd')
datab1z = np.loadtxt('./displace/OUTPUT_FILES/AA.S0001... | null | directivity/ALPHAtestsims/plotsignals.py | plotsignals.py | py | 654 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.zeros",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.signal.chirp",
"line_nu... |
496622688 | # -*- coding: utf-8 -*-
"""
Created on Sun Jan 19 19:41:12 2020
@author: rheaa
note need CVXOPT ver >=1.2.3 installed (\w 1.2.0 'hermitian' requirement seemed to fuck things up)
"""
import numpy as np
import picos as pic
#import cvxopt as cvx
import matplotlib.pyplot as plt
import math
zero = pic.new_par... | null | Legacy Code/CGP.py | CGP.py | py | 6,683 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "picos.new_param",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "picos.new_param",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_n... |
379387689 | import numpy as np
import requests
import geopandas
from shapely.geometry import shape, Point
import pandas as pd
def get_neighborhoods(city,state):
apiurl = 'https://data.opendatasoft.com/api/records/1.0/search/'
response = requests.get(apiurl,
params={'dataset': 'zillow-neighborhoo... | null | estateaggregator/aggregate_class.py | aggregate_class.py | py | 982 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Point",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random.unif... |
572274540 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os
import re
import json
from pathlib import Path
macros = []
files = list(Path("macros").rglob("*.js"))
for filepath in files:
# read all lines in f
with open(filepath, 'r') as f:
content = f.read().split("------------\n")
if len(content) < 2:
pr... | null | macros.py | macros.py | py | 1,441 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 27,
... |
181950777 | # Copyright (c) 2003-2015 by Mike Jarvis
#
# TreeCorr is free software: redistribution and use in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of condi... | null | tests/test_gg.py | test_gg.py | py | 28,624 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random_sample",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.... |
523509539 | """
Scripts that find the taxonomy of an aligned sequence
"""
# Author: Alessio Milanese <milanese.alessio@gmail.com>
# Requirements:
# - numpy
# - h5py
import numpy as np
import sys
import time
import os
import h5py
import tempfile
import shutil
# load align routine ------------------------------------------------... | null | bin/classify.py | classify.py | py | 11,681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.realpath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numbe... |
544234423 | import requests
import json
from bs4 import BeautifulSoup
import string
from operator import itemgetter
import time
def get_route_options(start, end, attempts=1):
url = "https://www.google.com/maps/dir/%s/%s/" % (start,end,)
r = requests.get(url)
soup = BeautifulSoup(r.text)
routes = soup.find_all('div', {'class... | null | routes.py | routes.py | py | 1,168 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "string.replace",
"line_... |
60845894 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 17 21:11:59 2019
@author: dafer
Title: Python's exercise. Hey ho! Python!!
"""
#Reset all. This is as magic command that runs only in the console.
#load libraries
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
#... | null | Ejpr1.py | Ejpr1.py | py | 8,463 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 31,... |
413283066 | #!/usr/bin/env python2
from __future__ import print_function
import parse_config
import pandas as pd
import requests
from xml.etree import ElementTree
def download_file(url, workingdir='data/'):
''' downloads and saves a file locally
Args:
url (str): the url of the file to download
workingdir (... | null | src/process_xml.py | process_xml.py | py | 4,228 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "pandas... |
156389370 | import sys
from data import *
from utils import *
from model import *
from warnings import filterwarnings
filterwarnings("ignore")
import random
import argparse
def inspect(args):
graph = dill.load(open(os.path.join(args.data_dir, 'graph%s.pk' % args.domain), 'rb'))
node_types = ['paper', 'author', 'venue', 'a... | null | inspect_dataset.py | inspect_dataset.py | py | 1,567 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
}
] |
189469829 | import torch.nn as nn
class ConvNetMaker(nn.Module):
"""
Creates a simple (plane) convolutional neural network
"""
# def __init__(self, layers):
def __init__(self, layers, input_size):
"""
Makes a cnn using the provided list of layers specification
The details of this list... | null | model_factories/plain_cnn_factory.py | plain_cnn_factory.py | py | 4,954 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
607281710 | from sklearn.pipeline import Pipeline
import xgboost as xgb
import preprocessors as pp
import config as cfg
model = xgb.XGBRegressor(**cfg.xgb_params)
pipeline = Pipeline(
[
('log transformer',
pp.LogTransformer(lambda_boxcox = cfg.lambda_boxcox)),
('feature extractor',
p... | null | pipeline.py | pipeline.py | py | 615 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xgboost.XGBRegressor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.xgb_params",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sklearn.pipeline.Pipeline",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pr... |
589268537 | from django.core.exceptions import ValidationError
from django import forms
from django.db import models
from django.forms import ModelForm, Textarea, TextInput, NumberInput, Select, FileInput
from website.models import Seller, Listing
from haystack.forms import SearchForm
class StyledSearchForm( SearchForm ):
q ... | null | bookshare/website/forms.py | forms.py | py | 3,676 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "haystack.forms.SearchForm",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.f... |
599447670 |
import discord
from discord.ext import commands
bot = commands.Bot(command_prefix='a.')
saki_chans = []
channel_name='Kurusaki-Text-Channel'
async def get_world_channels():
"""
Get all the channels that has the same names as the variable value `channel_name`
"""
for i in bot.servers:
for x ... | null | world_chat.py | world_chat.py | py | 1,311 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "discord.Object",
"line_number": 41,
"usage_type": "call"
}
] |
604724480 | import cherrypy
from paste.translogger import TransLogger
from flask import Flask, request, abort, jsonify, make_response, render_template
import json
import os
import pandas as pd
import lightgbm as lgb
from utils import BASELINE_MODEL, BAD_REQUEST, STATUS_OK, NOT_FOUND, SERVER_ERROR, PORT
# app
app = Flask(__name__... | null | Intro_to_Fraud_Detection/api.py | api.py | py | 1,948 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.BAD_REQUEST",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "flask.jsonify",... |
75681061 | import tensorflow as tf
import numpy as np
np.set_printoptions(suppress=True, precision=6)
import os
import glob
import cv2
import sys
import time
import pickle
from random import shuffle
from .pose_gt import *
from matplotlib import pyplot as plt
from time import time as t
class Dataset(object):
... | null | Evaluation/3/codes/function/pose/pose_dataset.py | pose_dataset.py | py | 3,201 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_nu... |
580688568 | # coding = gbk
from __future__ import print_function
from PIL import Image
import imghdr
import os
import module1 as funcs
print("""
*****************************************
图像样本生成程序 v1.0
*****************************************
请输入待处理的图像目录，支持jpg及bmp文件的处理
比如：\"D:/opencvimages/read/common test\"
注意：目录中不能包含文件夹！
""")
im... | null | tools/实用工具源码/Create_Samples_PY/PythonApplication1.py | PythonApplication1.py | py | 1,826 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "imghdr.what",
"line_numb... |
72075086 | # ##########################################################
# FlatCAM: 2D Post-processing for Manufacturing #
# File Author: Marius Adrian Stanciu (c) #
# Content was borrowed from FlatCAM proper #
# Date: 4/22/2020 #
# MIT Licence ... | null | HSRWLaserTool_APP/FlatCAM_beta_8.994_sources/tclCommands/TclCommandHelp.py | TclCommandHelp.py | py | 4,382 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "appTranslation.apply_language",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "builtins.__dict__",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "gettext.gettext",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_nam... |
564692845 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import nltk #natural language toolkit
nltk.download('punkt')
from nltk.stem.lancaster import LancasterStemmer
stemmer= LancasterStemmer()
import tkinter
from tkinter import *
# In[2]:
import tensorflow as tf
import numpy as np
import tflearn
impo... | null | train_bot.py | train_bot.py | py | 6,508 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "nltk.download",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.stem.lancaster.LancasterStemmer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.word... |
504825451 | import matplotlib
matplotlib.use('Agg')
import h5py
import sys
import matplotlib.pyplot as plt
from matplotlib import animation as am
import matplotlib.colors as colors
import numpy as np
import scipy as sp
import astropy.constants as ks
import astropy.units as u
import math
import glob
import os
import o... | null | stage/python/snapshot_plot.py | snapshot_plot.py | py | 6,177 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.set_printoptions",
... |
405730854 | """
This module implements an ensemble version of cont_autoreg model
"""
from typing import Optional, Any, Tuple, Union, List, Dict
import math
import random
import time
from copy import deepcopy
from pathlib import Path
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from utils.fil... | null | src/optnet/alg/autoregressive/ensemble_alg.py | ensemble_alg.py | py | 15,371 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "alg.base.AlgBase",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "alg.base.AlgBase.__init__",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "alg.base.AlgBase",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "benchmark... |
527816640 | import holoviews as hv
import panel as pn
import param
from param import parameterized
class testview(param.Parameterized):
check_val = param.Integer(default=0)
parameters = param.List(default=[])
def add_parameters(self, k):
parameters = self.parameters
for i in range(k):
nam... | null | scripts/issue_watch.py | issue_watch.py | py | 894 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "param.Parameterized",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "param.Integer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "param.List",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "param.Integer",
"l... |
422179165 | import numpy as np
import matplotlib.pyplot as plt
# main
if __name__ == '__main__':
s = 0.8 # initial settings
p = 0.1
q = 0.1
g = np.array([1,0,0,0,0,0,0])
S = np.array([[s+p,p,0,0,0,0,0],
[q,s,p,0,0,0,0],
[0,q,s,p,0,0,0],
[0,0,q,s,p,0,0],
... | null | work1/1-4-1.py | 1-4-1.py | py | 925 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_n... |
583059452 | import os
from os import listdir
from os.path import isfile, join
from scipy.ndimage import imread
from scipy.misc import imresize
from PIL import Image
from skimage import transform
import numpy as np
pathToImages = 'Q:\Matula\Data\Red_Del(-90-cz)xInv(-33-cz)_24783e5\Red_Del(-90-cz)xInv(-33-cz)_24783e5'
pathToResized... | null | imResize.py | imResize.py | py | 1,504 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
160513404 | # Author: Joubert Visagie 22983856, Levi Dipnarain 20857624
from flask import Flask, render_template, request, redirect, url_for
from flask_bootstrap import Bootstrap
import requests
# import ./API
app = Flask(__name__)
bootstrap = Bootstrap(app)
@app.route("/", methods=['POST', 'GET'])
def home():
if request.me... | null | Computer Science 334/Group/20687184-rw334-project-2-master/src/app.py | app.py | py | 4,041 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_bootstrap.Bootstrap",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
461062517 | from itertools import tee, izip
import csv
import xml.etree.cElementTree as ET
import os, sys
from collections import defaultdict
from math import radians, cos, sin, asin, sqrt
import operator
from operator import itemgetter
import MySQLdb
def haversine(lon1, lat1, lon2, lat2):
"""
Calculate the great circle distanc... | null | near_mrt.py | near_mrt.py | py | 2,043 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.radians",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "math.sin",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "math.asin",
"line_number": 22,... |
59319526 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('cloudservmodels', '0005_auto_20150619_1139'),
]
operations = [
migrations.CreateModel(
... | null | cloudservmodels/migrations/0006_auto_20150619_1245.py | 0006_auto_20150619_1245.py | py | 892 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 15,
"usage_type": "call"
},
... |
552095765 | #!/usr/bin/python
# -*- encoding=utf8 -*-
################################
# config logging with dictionary
# dictionary configuration needs yaml module to parse yaml format config file
################################
import yaml
import logging
import logging.config
#config logging from dictionary
logging.config.dic... | null | programming_intro/logging/src/logging_config_with_dictionary.py | logging_config_with_dictionary.py | py | 607 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "yaml.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLo... |
94014455 | #from django.shortcuts import render
import django_filters
import random
from django.contrib.auth.models import User
from .models import Play, Ranking, VerifyCode
from .serializers import UserSerializer, UserSimpleSerializer, PlaySerializer, RankingSerializer
from .permissions import IsSelf, Answerable#, IsOwner
fro... | null | users/apiviews.py | apiviews.py | py | 4,054 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.all",
"line_number": 19,
"... |
288668591 | import schedule
import speedtest
import sys
import time
import threading
################################################################################
# This is the main function that will run the speed test and report the results
# Input: None
# Output: None
#######################################################... | null | network_speed_test.py | network_speed_test.py | py | 2,011 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.ctime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "speedtest.Speedtest",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"l... |
124370893 | import os
import datetime
from colorama import Fore, Style
def get_timestamp():
now = datetime.datetime.now()
return "{0}_{1}_{2}_{3}_{4}".format(
now.strftime("%b"), now.day, now.year, now.hour, now.minute
)
def rsync(folder):
if os.path.exists(folder[1]):
cmd = 'rsync -av {0}/{2}/... | null | utils.py | utils.py | py | 621 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
196443880 | from django.shortcuts import render,redirect
import requests
import os
from django.core.files.storage import default_storage
from django.core.files.base import ContentFile
from django.utils import timezone
# Create your views here.
from scanbc.forms import ScanForm
from scanbc.models import ImageFileModel
def home(re... | null | scanbc/views.py | views.py | py | 1,886 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scanbc.forms.ScanForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 30,
"usage_type": "call"
},
{
"api_name"... |
314862306 | from predict import predict, get_best_model, predict_CAM
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image
import utils
from skimage import transform
import torch
from sklearn.manifold import TSNE
from sklearn.decomposition import PCA
import os
import pickle
from torchvision.utils import make_gri... | null | visualize.py | visualize.py | py | 6,409 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "predict.predict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "predict.predict",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "utils.preprocess",
"lin... |
158362024 | from rest_framework import status
from rest_framework.decorators import api_view, APIView
from rest_framework.response import Response
from core.permissions import IsOwnerOrParentOfOwner
from teacher.models import Teacher
from teacher.serializers import TeacherSerializer
class TeacherList(APIView):
permission_cl... | null | teacher/views.py | views.py | py | 1,580 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.decorators.APIView",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "core.permissions.IsOwnerOrParentOfOwner",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "teacher.models",
"line_number": 14,
"usage_type": "name"
},
... |
594777984 | from selenium import webdriver
class WangyiyunMusic:
def __init__(self):
self.start_url = 'https://music.163.com/#/discover/playlist/'
self.driver = webdriver.Chrome()
def get_detail_url(self):
detail_list = self.driver.find_elements_by_xpath("//div[@class='u-cover u-cover-1']")
... | null | wangyiyun.py | wangyiyun.py | py | 2,518 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
}
] |
207652476 | import math
from math import e
import sympy as sp
from sympy.utilities.lambdify import lambdify
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKGREEN = '\033[90m'
WARNING = '\033[93m'
FAIL = '\033[91m'
ENDC = '\033[0m'
BOLD = '\033[1m'
UNDERLINE = '\033[4m'
HEADER = '\033[9... | null | Q14 Finding Equation Roots Numerical Integration.py | Q14 Finding Equation Roots Numerical Integration.py | py | 12,778 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sympy.limit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "math.log",
"l... |
286102233 | import pygame
from pygame.locals import *
import sys
import os
def load_image(nombre, dir, alpha=False):
ruta = os.path.join(dir, nombre)
try:
image = pygame.image.load(ruta)
except:
print("Error, no se puede cargar la imagen: " + ruta)
sys.exit(1)
if alpha is True:
imag... | null | loadImage.py | loadImage.py | py | 404 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_num... |
504908031 | #!/usr/bin/env python
from glob import glob
from xml.dom import minidom
import argparse
import logging
import shutil
import subprocess
import sys, os
class Default:
modules = 6
current_dist = 'current_dist'
vivado_hls = 'vivado_hls'
project = 'hls_impl'
solution = 'solution1'
class Status:
d... | null | manage.py | manage.py | py | 9,565 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.stdout.isatty",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
651847253 | from django.test import TestCase
from .models import Article,Author,Categorie
from datetime import date
# Create your tests here.
class ArticleTest(TestCase):
def setUp(self):
boss=Author.objects.create(name='ok',nationality='fr',birthdate=date.today())
categ=Categorie.objects.create(name='lourd')... | null | articles/tests.py | tests.py | py | 957 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Author.objects.create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Author.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_nam... |
533736567 | import cv2
import time
class MotionDetector(object):
def __init__(self, camera):
# 初期化処理
self.camera = camera.start()
self.background = None
def get_frame(self):
# 動体検知処理の呼び出しをおこなう
# フレームはJPEG画像に変換して戻り値にする
frame = self.detect()
_, jpeg = cv2.imencode('.jpg', ... | null | chapter6/processor.py | processor.py | py | 4,493 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.imencode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "cv2.absdiff",
"... |
565339942 | import requests
import json
import socketio
agent = {'name': 'victim_action_test'}
fake = {'name': 'fake'}
wait = True
responses = []
socket = socketio.Client()
fake_socket = socketio.Client()
token = None
fake_token = None
victim_loc = None
def connect_agent():
global token, fake_token
response = requests... | null | src/tests/integration/test_agents/test_rescue_victim_action.py | test_rescue_victim_action.py | py | 2,840 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "socketio.Client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socketio.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.post",
"li... |
618153484 | #!/usr/bin/env python
import os
from os.path import join as pjoin, abspath
import torch
import numpy as np
import numpy.random as rand
from numpy import genfromtxt
import pandas as pd
from .dataset import Dataset
_default_folder = abspath(pjoin(__file__, "..", "..", "..", "datasets"))
DATASET_FOLDER = os.environ.g... | null | selective_gp/datasets/real_data.py | real_data.py | py | 5,461 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_nu... |
603844138 | #!/usr/bin/python
import smc
import logging
from pprint import pprint
logger = logging.getLogger(__name__)
smc.login('http://172.18.1.150:8082', 'EiGpKD4QxlLJ25dbBEp20001')
#smc.web_api.login('http://172.18.1.150:8082', 'EiGpKD4QxlLJ25dbBEp20001')
#Example of using a search filter
#Response is a json record with... | null | test.py | test.py | py | 2,396 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "smc.login",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "smc.search.get_element",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "smc.search",
"l... |
311999831 | # pylint: disable=missing-docstring, too-many-arguments, unused-argument
import json
async def test_insert_unauthorized(cli):
url = '/v1/points'
resp = await cli.post(url)
assert resp.status == 403
async def test_insert_bad_request(cli, token):
url = '/v1/points'
resp = await cli.post(url, heade... | null | src/tests/test_api.py | test_api.py | py | 1,739 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 35,
"usage_type": "call"
}
] |
107377310 | '''
Created on Feb 21, 2014
@author: u0490822
'''
import logging
import os
import nornir_imageregistration.core as core
import nornir_imageregistration.spatial as spatial
import numpy as np
def CreateTiles(transforms, imagepaths):
'''Create tiles from pairs of transforms and image paths
:param transform tr... | null | nornir_imageregistration/tile.py | tile.py | py | 6,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "nornir_imageregistratio... |
135635234 | '''
1.get、post方法做一下异常处理
2.打印日志
3.保持回话，使用session发送请求
'''
import requests
class BaseRequests:
# 构造方法中创建一个session
# 该session能够自动管理请求过程中的cookie保持有效会话
def __init__(self):
self.session = requests.session()
def get(self, url, **kwargs):
try:
r = self.session.get(url, **kwargs)
... | null | zonghe/caw/BaseRequests.py | BaseRequests.py | py | 1,488 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.session",
"line_number": 14,
"usage_type": "call"
}
] |
403791943 | # _*_ encoding:utf-8 _*_
# _*_ author:wen _*_
import pymongo
from pymongo import MongoClient
class MG(object):
def __init__(self):
self.client = MongoClient("127.0.0.1", 27017)
self.db = self.client["shenjinlong"]
"""
mongodb_operation 静态方法，用来和 mongodb 操作交互
"""
class BaseHandle(object):
... | null | izone/apps/finance/mongo.py | mongo.py | py | 7,060 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
}
] |
220509914 | # Paul Glenn -- 21 July 2014
# Draw a Koch curve on the interval [x_lower,x_upper].
# Usage: python koch_fractal.py [num_iterations = 1] [x_lower = 0] [x_upper = 1]
# Module imports
import numpy as np
import matplotlib.pyplot as pp
import math as m
from sys import argv
argc = len(argv) -1
if argc == 0: numIterations... | null | python/koch_fractal.py | koch_fractal.py | py | 1,154 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 17,
... |
237341492 | from __future__ import division
import numpy as np
import scipy.sparse as sp
import json
from utils import sparse_to_tuple
seed = 123
np.random.seed(seed)
class MinibatchIterator(object):
def __init__(self, n_entity, n_rel, feat, rel2end, mat_data_path, json_data_path, add_label_loss=False, n_hierarchical_label=0,... | null | minibatch.py | minibatch.py | py | 5,989 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_n... |
121660754 | # -*- coding: utf-8 -*-
# Copyright (c) 2013-2018 Will Thames <will@thames.id.au>
# Copyright (c) 2018 Ansible by Red Hat
# Modified work Copyright (c) 2019 Warpnet B.V.
import unittest
from saltlint.linter import RulesCollection
from saltlint.rules.FileModeQuotationRule import FileModeQuotationRule
from tests import... | null | tests/unit/TestFileModeQuotationRule.py | TestFileModeQuotationRule.py | py | 1,167 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "saltlint.linter.RulesCollection",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "saltlint.rules.FileModeQuotationRule.FileModeQuotationRule",
"line_number": 37,
"u... |
643714827 | import os
import pathlib
from pathlib import Path
import re
def has_admin():
if os.name == 'nt':
try:
# only windows users with admin privileges can read the C:\windows\temp
temp = os.listdir(os.sep.join([os.environ.get('SystemRoot', 'C:\\windows'), 'temp']))
except:
... | null | baseAndroid/make_symbolic_links.py | make_symbolic_links.py | py | 2,232 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.name",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.sep.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 11,
... |
318089471 | """
Spotify
"""
import time
import tqdm
from datetime import datetime, timedelta
import sched
import pandas
import logging
import requests
import charts
from io import StringIO
import spotipy
import spotipy.util as util
import sys
import utils
from database import upsert_bpa
from database import upsert_spotify
BPA_S... | null | data_acquire.py | data_acquire.py | py | 4,402 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.Logger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.setup_logger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
... |
285138985 | # Copyright (c) 2019-2021, Tom Westerhout
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions a... | null | python/lattice_symmetries/__init__.py | __init__.py | py | 46,572 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "sys.platf... |
59775648 | bl_info = {
"name": "Import Pokémon Masters Models",
"author": "Turk, Jugolm, MiniEmerald",
"version": (1, 3, 3),
"blender": (2, 80, 0),
"location": "File > Import-Export",
"description": "A tool designed to import LMD files from the mobile game Pokémon Masters",
"warning": "",
"... | null | io_import_pokemon_masters.py | io_import_pokemon_masters.py | py | 21,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.walk",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "fnmatch.fnmatch",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,... |
646549581 | import sys
import math
import pygame
from pygame import Vector2
from pygame import Rect
class LineSegment:
def __init__(self, p1, p2):
self.p1 = Vector2(p1)
self.p2 = Vector2(p2)
self.vector_from_p1 = Vector2(self.p2.x - self.p1.x, self.p2.y - self.p1.y)
def __repr__(self):
re... | null | pygame/diamonds/collisions.py | collisions.py | py | 8,241 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.Vector2",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.Vector2",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.Vector2",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.Vector2",
"li... |
18565120 | from flask import Flask, render_template, url_for, request, redirect, session, flash, g, send_from_directory
from app import app, db
from .models import *
import os
import time
from sqlalchemy.orm import load_only
# @app.context_processor
# def utility_processor():
# def get_parent_categories(id):
# return... | null | app/views.py | views.py | py | 8,681 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.g.categories",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "app.db.session.query",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.db.session",... |
371274059 | import logging
import os
from inspect import getmembers, isfunction
import pytest
from data_science_from_scratch.library import machine_learning
current_dir = os.path.dirname(__file__)
parent_dir = os.path.join(current_dir, os.pardir)
def test_smoke():
logging.info("is anything on fire")
for member in getm... | null | tests/test_data_science_from_scratch/test_library/test_machine_learning.py | test_machine_learning.py | py | 2,600 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
613940102 | """Test filters based on a set of patterns."""
import importlib.util
import logging
import os
import sys
import pytest
import yaml
from webchanges.filters import FilterBase
logger = logging.getLogger(__name__)
bs4_is_installed = importlib.util.find_spec('bs4') is not None
# https://stackoverflow.com/questions/31... | null | tests/filters_test.py | filters_test.py | py | 4,823 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "importlib.util.util.find_spec",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "importlib.util.util",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name... |
219869335 | """
Written by nanbuwks
forked from LaTeX renderer for mistletoe.
"""
import re
from itertools import chain
import mistletoe.latex_token as latex_token
from mistletoe.base_renderer import BaseRenderer
from mistletoe import block_token, span_token
class MDMDRenderer(BaseRenderer):
def __init__(self, *extras):
... | null | mdmd_renderer.py | mdmd_renderer.py | py | 8,416 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "mistletoe.base_renderer.BaseRenderer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "mistletoe.latex_token",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "itertools.chain",
"line_number": 21,
"usage_type": "call"
},
{
"ap... |
295576144 | #!/usr/bin/env python
# Docker class to connect to docker server box and perform docker operations
from __future__ import print_function
import cloudmesh
import docker
import os
#from cloudmesh.api.docker_instance import Cloudmeshdocker, Container, Images
import requests
import json
class Docker(object):
... | null | cloudmesh/api/docker_client.py | docker_client.py | py | 3,913 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "docker.from_env",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "docker.errors",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "docker.errors",
... |
332362967 | import os
import cgi
import subprocess
import json
data = cgi.FieldStorage()
verb = data.getvalue("verb")
describedeployname = data.getvalue("describedeploy")
describedeployname = data.getvalue("describedeploy")
describedeployname = data.getvalue("describedeploy")
def describe(deployname):
cmd="curl -s --cacert ... | null | deployments_backup.py | deployments_backup.py | py | 2,617 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "subprocess.getoutput",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subprocess.getoutput"... |
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