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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26802550 | import sys
sys.path.append('/afs/ipp/aug/ads-diags/common/python/lib')
sys.path.append("/afs/ipp-garching.mpg.de/home/o/osam/workspace/python3_projects/modules_osam")
import dd_20190506 as dd
# import map_equ_20190429 as equ
import matplotlib.pyplot as plt
import numpy as np
# import importlib
# import EQH_Load_osam as... | null | python3_projects/readdata_examples/RRC_NTM_read.py | RRC_NTM_read.py | py | 2,357 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
648893301 | # wrapper for vizdoom envronment "https://github.com/mwydmuch/ViZDoom"
import numpy as np
from vizdoom import *
from skimage.transform import resize
from skimage.color import rgb2gray
import itertools as it
from os import path
RESIZE_H = 120
RESIZE_W = 160
REPEAT = 12
class VizDoomEnv(object):
def __... | null | environments/vizdoom_env.py | vizdoom_env.py | py | 2,783 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "itertools.product",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "skimage.transform.resize",
... |
89781550 | # _____ __ __ ____ __
# / ___/ ____ _ / /____ / /_ __ __ _____ ____ _ / __ \ ___ _____ ___ ____ _ _____ _____ / /_
# \__ \ / __ `// //_ / / __ \ / / / // ___// __ `/ / /_/ // _ \ / ___// _ \ / __ `// _... | null | opc_ua_server_panda.py | opc_ua_server_panda.py | py | 7,212 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "logging.DE... |
286704893 | from yt.mods import *
import yt
yt.enable_parallelism()
from yt import YTArray
import numpy as np
import glob
import pickle
f = open('../Bhspos_r8.pickle')
bhspos = pickle.load(f)
f.close()
DD = glob.glob('../DD*/*.hierarchy')
DD.sort()
DD = DD[0:102]
allhaloidx = np.loadtxt('../allhalos1.txt')
my_storage = {}
I ... | null | aas/Paraplots/plot_bhs_parallel.py | plot_bhs_parallel.py | py | 834 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yt.enable_parallelism",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_... |
64832453 |
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from Graph import Graph
class Weighted_Graph(Graph):
def __init__(self, *args):
self.edge_list_file = ''
self.edge_dict = {}
self.edge_set = set()
self.vert... | null | Graph Theory/Weighted_Graph.py | Weighted_Graph.py | py | 5,060 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Graph.Graph",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.loadtxt",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "networkx.read_edgelist",
"line_number": 169,
"usage_type": "call"
},
{
"api_name": "networkx.spring_la... |
571978724 | # -*- coding: utf-8 -*-
from django.test import TestCase
from django.test.utils import setup_test_environment
from django.http import QueryDict
from django.contrib.auth.models import User
from pub.forms import PaymentForm
from pub.models import Department, Management, Category, Item, Project, Payee
class FormPaymentF... | null | pub/tests/test_form_payment.py | test_form_payment.py | py | 3,204 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pub.models.Department.objects.create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pub.models.Department.objects",
"line_number": 13,
"usage_type": "attribute"
... |
70957016 | #imports the modules needed
import pygame
import os
from pygame.locals import*
import math
import sys
#initiates the pygame modue
pygame.init()
#sets the screen dimensions
screenWidth = 740
screenHeight = 600
screen_size = screenWidth,screenHeight
#os.environ['SDL_VIDEO_WINDOW_POS'] = "0,0"
#,... | null | main.py | main.py | py | 16,113 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
271887338 | # dict_format -> ('GJ', (1,Gujarat)), ('8173', (1, '27-A')), ('AN', (1, 'Andaman and Nicobar'))
import requests, os, re, datetime, time
from selenium import webdriver
from bs4 import BeautifulSoup
from time import sleep
import src.utils as Constants
id_list = ["ddlCommodity", "ddlState", "ddlMarket"]
file_list = ["..... | null | src/data_generator.py | data_generator.py | py | 9,879 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"... |
309801597 | # coding: utf8
import matplotlib.dates as mdates
import matplotlib.pyplot as plt
import random as rd
import datetime
import pyttsx3
import time
import os
PROBABILITY_RECAP = .14 # about 1/7
PROBABILITY_SHOT = .059 # about 1/17
MAX_SWALLOWS = 5
MAX_WAIT = 4 * 60
HISTORY = []
COLORS_ALL = ['b','g','r','c','m','gol... | null | drink.py | drink.py | py | 7,378 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "platform.system",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number"... |
602673723 | try:
from robot import Robot
except ImportError:
raise SystemExit('Could not find robot.py. Does it exist?')
import unittest
class RobotTest(unittest.TestCase):
name_re = r'\w{2}\d{3}'
def test_has_name(self):
self.assertRegexpMatches(Robot().name, self.name_re)
def test_name_sticks(self... | null | exercism.io-master/exercism.io-master/assignments/python/robot-name/robot_name_test.py | robot_name_test.py | py | 837 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "robot.Robot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "robot.Robot",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "robot.name",
"line_... |
158695949 | import os
import unittest
from distutils.version import LooseVersion
import numpy as np
from scipy.sparse import csr_matrix, issparse
import Orange
from Orange.data import Table
from Orange.data.domain import Domain, StringVariable
from orangecontrib.text import preprocess
from orangecontrib.text.corpus import Corpu... | null | orangecontrib/text/tests/test_corpus.py | test_corpus.py | py | 10,108 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "orangecontrib.text.corpus.Corpus.from_file",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "orangecontrib.text.corpus.Corpus",
"line_number": 19,
"usage_type": "na... |
44502297 | import csv
import json
def get_months(months):
if (months.strip() == "All"):
months = list(range(1, 13))
else:
months = months.split(';')
for i in range(len(months)):
months[i] = int(months[i])
return months
def get_times(times):
if (times.strip() == "All"):
times = list(range(1, 25))
else:
times =... | null | resources/csv_to_json.py | csv_to_json.py | py | 1,466 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "csv.reader",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 46,
... |
15418890 | import os
from flask import Flask, render_template, request, jsonify
from detect_emotions import detect_emotion
app = Flask(__name__)
app.config["IMAGE_UPLOADS"] = ""
port = int(os.environ.get("PORT", 5300))
@app.route('/')
def index():
return render_template('index.html')
@app.route('/emotion_recognizer', metho... | null | app.py | app.py | py | 742 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "flask.render_template",
"... |
75176744 | from django.shortcuts import render,redirect,get_object_or_404,HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from .forms import ProjectForm,ReviewForm,CommentForm
from .models import Project,Profile,Comments,Review
from django.contrib.auth.models import User
from django.http import Json... | null | Awwards/projects/views.py | views.py | py | 3,608 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Project.objects.order_by",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Project.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Project",
"line_number": 15,
"usage_type": "name"
},
{
"api_na... |
372561558 | # -*- coding:utf-8 -*-
import os
from datetime import datetime
import pytz
import requests
from bahttext import bahttext
from flask import render_template, request, flash, redirect, url_for, send_file, send_from_directory, make_response, \
jsonify
from flask_login import current_user, login_required
from pandas im... | null | app/receipt_printing/views.py | views.py | py | 41,565 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytz.timezone",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_numb... |
282399888 | from envparse import Env
# reads a local .env file with the TEST_TOKEN=<user token>
# ensure that this file is not commited to github (never ever)
env = Env()
env.read_envfile()
TEST_URL = env('TEST_URL', default='https://kec2api.ke-chain.com')
TEST_USERNAME = env('TEST_USERNAME', default='pykechain') # LVL1
TEST_T... | null | tests/utils.py | utils.py | py | 527 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "envparse.Env",
"line_number": 6,
"usage_type": "call"
}
] |
24668704 | from sklearn.decomposition import PCA
import data_import
import matplotlib.pyplot as plt
data,df = data_import.import_data("~/Dropbox/missense_pred/data/Ben/input_data.HIS.csv",test = 0)
X_train = data[0]['X_train']
X_test = data[0]['X_test']
y_train = data[1]['y_train']
y_test = data[1]['y_test']
pca = PCA(n_compon... | null | SAE/pca_plot.py | pca_plot.py | py | 839 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "data_import.import_data",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 30,
"usage_type": "call"
},
{
"api_na... |
152764680 | from collections import defaultdict
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def dfs(self, node):
if not node: return
cur, pal = self.dict_... | null | LeetCode/1457_PseudoPalindromicPathsInABinaryTree/Solution.py | Solution.py | py | 844 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 30,
"usage_type": "call"
}
] |
446575141 | import uuid
from pathlib import Path
from typing import Callable
from unittest.mock import patch
import pytest
from devtools_testutils import AzureRecordedTestCase, is_live
from test_utilities.utils import get_arm_id
from azure.ai.ml import MLClient
from azure.ai.ml.entities._assets import Code
@pytest.fixture
def ... | null | sdk/ml/azure-ai-ml/tests/code_asset/e2etests/test_code.py | test_code.py | py | 2,604 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "devtools_testutils.AzureRecordedTestCase",
"line_number": 24,
"usage_type": "name"
},
{
"api_nam... |
498472400 | from datetime import datetime, timedelta
from provider.utils import get_filtered_fb_post, days_lower
import re
FB_PAGE = "https://www.facebook.com/pg/amicimieicorvin/posts"
FB_ID = "1861078894105248"
def getMenu(today):
day = today.weekday()
try:
is_this_week = lambda date: datetime.strptime(date, '%... | null | provider/amici.py | amici.py | py | 1,026 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "provi... |
604408225 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2018 Snowball Beijing, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... | null | shici/store/baidu_crawler.py | baidu_crawler.py | py | 2,867 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",... |
168366822 | from __future__ import division
import os
import re
import pathlib
import time
import datetime
import numpy as np
import pandas as pd
import cv2
import imutils
import torch
import torch.nn as nn
from torch.autograd import Variable
from util import load_classes, write_results
from darknet import Darknet
from preproces... | null | process_all_bob.py | process_all_bob.py | py | 12,387 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number":... |
520639383 | import discord
from discord.ext import commands;
import asyncio
import gaycode #where we store the bots token, so it isn't publicly displayed on github
client = discord.Client()
supportList = [] #list of discord members signed up to support mixes
commandString = '!join !quit (admin !reset !shutdown)'
infoString = 'Pe... | null | supporting_bot.py | supporting_bot.py | py | 3,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "discord.utils.find",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "discord.utils",
"line_number": 101,
"usage_type": "attribute"
},
{
"api_name": "gaycode.token",... |
199919909 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
import requests
import sys
# args
args = sys.argv
output_folder = args[1]
now = datetime.now().strftime("%Y%m%d_%H%M")
output_file = output_folder + "/" + now + ".json"
# Request
url = "https://fx.click-sec.com/neo/rfl/calendarList"
response... | null | CrawlersCron/crawlers/EconomicEvent/get_economic_event.py | get_economic_event.py | py | 464 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
... |
651259341 | # Starter code for homework 5
# %%
# Import the modules we will use
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
# %%
# Set file location
filename = 'streamflow_week5.txt'
filepath = os.path.join('data', filename)
print(os.getcwd())
print(filepath)
filepath = '../data/streamflow_w... | null | Forecast_Submissions/morales_HW5.py | morales_HW5.py | py | 3,331 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_table",
"line_num... |
376358952 | from tools.load import LoadMatrix
lm=LoadMatrix()
data = lm.load_numbers('../data/fm_train_real.dat')
parameter_list = [[data, 0.01, 1.0], [data, 0.05, 2.0]]
def preprocessor_kernelpca_modular(data, threshold, width):
from shogun.Features import RealFeatures
from shogun.Preprocessor import KernelPCA
from shogun.K... | null | build/shogun_lib/examples/undocumented/python_modular/preprocessor_kernelpca_modular.py | preprocessor_kernelpca_modular.py | py | 665 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tools.load.LoadMatrix",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "shogun.Features.RealFeatures",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "shogun.Kernel.GaussianKernel",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
382387617 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
Data binding example
'''
from wdom.themes.default import H1, Div, Input
class App(Div):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.text = H1(parent=self)
self.text.textContent = 'Hello!'
self.text... | null | wdom/examples/data_binding.py | data_binding.py | py | 936 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wdom.themes.default.Div",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "wdom.themes.default.H1",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wdom.themes.default.Input",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
421615235 | class Solution:
# @param m: An integer m denotes the size of a backpack
# @param A: Given n items with size A[i]
# @return: The maximum size
def backPack(self, m, A):
from itertools import combinations
sums = []
for items_count in xrange(1, len(A)+1):
sums.extend([sum... | null | backpack.py | backpack.py | py | 407 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.combinations",
"line_number": 9,
"usage_type": "call"
}
] |
317188640 | from datetime import datetime,timedelta
from pymongo import MongoClient,errors
import pymongo
class MongoQueue:
OUTSTANDING,PROCESSING,COMPLETE = range(3)
def __init__(self,client=None,timeout=300):
#self.client = MongoClient("localhost", 27017) if client is None else client
self.db = pymongo.MongoClie... | null | mongo_queue_p3.py | mongo_queue_p3.py | py | 1,519 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pymongo.errors.DuplicateKeyError",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pymongo.errors",
"line_number": 22,
"usage_type": "name"
},
{
"api_name... |
465799780 | from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_csv(r"tweet_csv/test_pre.csv", encoding ="ISO-8859-1")
comments= ' '
stopwords = set(STOPWORDS)
#wordcloud visuals for pos_tweets
pos_tweets = df[df.pred == 1]
pos_string = []
for t in pos_tweets.sentimenttext:... | null | pos_wc.py | pos_wc.py | py | 733 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "wordcloud.STOPWORDS",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "pandas.Series",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordClo... |
500260365 | from __future__ import with_statement
import os
import errno
import six
from tempfile import NamedTemporaryFile
from plumbum.path import Path, FSUser
from plumbum.lib import _setdoc
from plumbum.commands import shquote
if not six.PY3:
bytes = str #@ReservedAssignment
class RemotePath(Path):
"""The class impl... | null | plumbum/remote_path.py | remote_path.py | py | 6,176 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "six.PY3",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "plumbum.path.Path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "plumbum.lib._setdoc",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "plumbum.path.Path"... |
260057028 | import logging
import os
import datetime
class UserLog:
def __init__(self):
self.logger = logging.getLogger()
self.logger.setLevel(logging.DEBUG) #设置log等级
#输出日志
# consle = logging.StreamHandler()
# logger.addHandler(consle)
#写入log文件
file_path = os.path.di... | null | web Auto/demos/log/user_log.py | user_log.py | py | 1,144 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
116195281 | #!/usr/bin/env python3.6
import os,sys
import re
import dateutil
import argparse
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import IPython
import functools
import datetime
from collections import defaultdict
pd.set_option('display.float_format', '{:.3f}'.format)
metrics_df = None
'''
Select... | null | scripts/metlab.py | metlab.py | py | 12,062 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.set_option",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot... |
111676830 | #!/usr/bin/python
# -*- coding: utf-8 -*-
# @Time : 7/25/17 12:41 AM
# @Author : Jianpeng Hou
# @Email : houjp1992@gmail.com
"""
Change window size of Conv: [1-10, 11, 13, 15, 20]
"""
from keras.layers import *
from keras.layers.merge import *
from keras.models import Model, model_from_json
from keras import ... | null | bin/text_cnn/v103/text_cnn.py | text_cnn.py | py | 11,841 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bin.utils.LogUtil.log",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bin.utils.LogUtil",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tensor... |
586026730 | # -*- coding: utf-8 -*-
from django import forms
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User, Group
from django.contrib.auth.forms import UserChangeForm
from django.forms.widgets import TextInput
from captcha.fields import CaptchaField, CaptchaTextInput
from eng... | null | www/iskcon/forms.py | forms.py | py | 4,402 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.Group",
"line_number": 18,
"usage_type": "name"
},
{
"api_nam... |
167076196 | # coding: utf-8
from __future__ import unicode_literals
import re
import itertools
class FieldsScore(object):
"""
字段级别的precision, recall, f1
只支持单字段计算score
"""
@classmethod
def score(cls, tags_predict, tags_actual):
"""
:param tags_predict: list of predict tags
:param... | null | extract_framework/metrics/fields_score.py | fields_score.py | py | 1,624 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "itertools.chain",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 33,
"usage_type": "call"
}
] |
108523950 | import matplotlib.pyplot as plt
plt.figure(1)
pos = [1, 2, 3, 4, 5]
sales = [203, 136, 113, 83, 68]
topgames = ['Minecraft', 'Grand Theft Auto V', 'Tetris (EA)', 'Wii Sports', 'PlayerUnknown\'s BattleGrounds']
plt.bar(pos, sales, color='limegreen')
plt.xticks(pos[0:], topgames, fontsize='6')
plt.title("Top 5... | null | graph Final.py | graph Final.py | py | 457 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.bar",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplot... |
383051351 | import tensorflow as tf
import numpy as np
import teacoffeeenv as tce
import utils
import timeit
from abc import ABC, abstractmethod
import copy
from neural import layers, optimizers
# convenience function for stopping parameters since I'll be using this in many places.
# Checks if it's time to stop training a networ... | null | simple_goals/neural/neuralnet.py | neuralnet.py | py | 25,606 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "abc.ABC",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "utils.UNIFORM",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.sigmoid",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "neural.optimizers.... |
516520383 |
import ctypes
from ctypes import wintypes
import logging
from .memory import ProcessMemory
from .structure import structure
from .constant import constant
from .process_thread import ProcessThreads
from ..kernel32 import kernel32
logger = logging.getLogger('debugger.process')
class Process:
def __init__(self,... | null | debug/process/process.py | process.py | py | 5,659 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "memory.ProcessMemory",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "process_thread.ProcessThreads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
507030538 | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import codecs
import os
import platform
import re
import shutil
from glob import glob
import setuptools
from setuptools import Extension
from setuptools.command.build_ext import build_ext
def clean_html(raw_html):
cleanr = re.compile("<.... | null | setup.py | setup.py | py | 4,166 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
... |
298279415 | """
3. Массив размером 2m + 1, где m – натуральное число, заполнен случайным образом.
Найдите в массиве медиану. Медианой называется элемент ряда, делящий его на
две равные части: в одной находятся элементы, которые не меньше медианы,
в другой – не больше медианы.
Задачу можно решить без сортировки исходного
массива.
... | null | Урок 7. Практическое задание сорт/task_3.py | task_3.py | py | 2,431 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "statistics.median",
"line_number": 54,
"usage_type": "call"
}
] |
498793368 | import glob
import json
import random
import csv
import os
#import create_features_vgg16 as cf
# dictionary to hold features of the images
image_feature_map = {}
def sample(verticals, output_file, train=True):
base_dir = "/home/ubuntu/visualsearch/code/fk-visual-search/data/"
meta_dir = os.path.... | null | scripts/sampler.py | sampler.py | py | 4,629 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
331356450 | import utils
import pandas as pd
train_sample_1 = utils.read_variable('outputs/train_sample_1.pkl')
train_sample_0 = utils.read_variable('outputs/train_sample_0.pkl')
column_names = utils.read_variable('outputs/column_names.pkl')
#%
cols_numeric = column_names['numeric']
cols_date = column_names['date']
c... | null | history/1_data_explore.py | 1_data_explore.py | py | 3,930 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.read_variable",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "utils.read_variable",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "utils.read_variable",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.notnu... |
391157692 | """
This script runs the application using a development server.
It contains the definition of routes and views for the application.
"""
import asyncio
import sys
from flask import Flask, request, Response
from botbuilder.core import (
BotFrameworkAdapter,
BotFrameworkAdapterSettings,
TurnContext, ... | null | Python/HelloWorld/app.py | app.py | py | 1,531 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "botbuilder.core.BotFrameworkAdapterSettings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "botbuilder.core.BotFrameworkAdapter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 25,
"usage_type":... |
653531348 | import logging
from datetime import datetime
from openpyxl import Workbook
from django.http import HttpResponse
from django.shortcuts import redirect, reverse
from django.views.generic import CreateView, UpdateView, TemplateView
from braces.views import StaffuserRequiredMixin
from mysite.common import Button, LinkB... | null | public/views/enquiry_views.py | enquiry_views.py | py | 3,800 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.views.generic.CreateView",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "members.models.Enquiry",
"line_number": 25,
"usage_type": "name"
},
{
"api_name... |
228914133 | #!/usr/bin/env python3
"""
New cartopy projection classes and a projection constructor function
for generating `~mpl_toolkits.basemap.Basemap` and cartopy
`~cartopy.crs.Projection` classes.
"""
from .utils import _warn_proplot
try: # use this for debugging instead of print()!
from icecream import ic
except ImportE... | null | proplot/projs.py | projs.py | py | 24,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "icecream.ic",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mpl_toolkits.basemap.Basemap",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cartopy.crs.CRS",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "cartopy.crs.... |
175420702 |
import itertools
import typing
import bblfsh
import zss
from .bblfsh import uast_eq_node
from .bblfsh import uast_iter
def _get_children(a: bblfsh.Node) -> typing.List[bblfsh.Node]:
return [c for c in a.children]
def _get_label(a: bblfsh.Node) -> str:
return '%s/%s' % (a.internal_type, a.token)
def _label... | null | badcode/treedist.py | treedist.py | py | 6,985 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bblfsh.Node",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "bblfsh.Node",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "bblfsh.Node",
... |
118430380 | from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from django.utils import translation
from django.db import connection
class Command(BaseCommand):
def add_arguments(self, parser):
parser.add_argument(
'--schema', '-s', action='store', dest='sc... | null | scripts/marketbox-medical-svr/django_server/apps/account/management/commands/create_schema.py | create_schema.py | py | 816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.activate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.utils.translation",
"line_number": 15,
"usage_type": "nam... |
242130041 | from twisted.internet import reactor
from twisted.web import http
class MyRequestHandler(http.Request):
resource = {
'/': '<h1>Home</h1> Home Page',
'/about': '<h1>About</h1> all about me'
}
def process(self):
self.setHeader('Content-Type'.encode(), 'text/html'.encode())
... | null | Chapter4/requesthandler.py | requesthandler.py | py | 783 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "twisted.web.http.Request",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "twisted.web.http",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "twisted.web.http.NOT_FOUND",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_... |
167355683 | from django.urls import path
from .views import crear_examen, registrar_examen, listar_examen, registra_opcion, formulario, validar_codigo
urlpatterns = [
# vista para mostrar el ingreso de los datos para crear el examen
path('CrearExamen/', crear_examen, name="crear_examen"),
# funcion para registrar ... | null | apps/cuestionario/urls.py | urls.py | py | 850 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "views.crear_examen",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "views.registra... |
405952515 | from datetime import datetime
from Register.models import *
#定时任务：每分钟查,15分钟未付款的订单被自动删除
def crontab_task1():
print("crontab 1")
#15分钟未付款
res = ReservationOrder.objects.all()
for re in res:
#a = datetime.strptime(re.createdTime, "%Y-%m-%d %H:%M:%S.%f")
a = re.createdTime
b = date... | null | OnlineRegister/Register/cron.py | cron.py | py | 1,673 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.datetime.now",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetim... |
295066883 | import os, asyncio
from collections import OrderedDict
import discord
from discord.ext import commands
from tinydb import TinyDB
from db_guild_interface import fetch
from utility import make_simple_embed_t
from secret import TOKEN
from dev import DEV_MODE
intents = discord.Intents.default()
intents.members = True
b... | null | main.py | main.py | py | 1,549 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "discord.Intents.default",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
177982978 | # encoding=utf-8
import re
from base64 import decodestring
from django.core.files.base import ContentFile
from rest_framework.parsers import BaseParser
class UriDataParser(BaseParser):
"""
Plain text parser.
"""
media_type = 'text/plain'
uriExp = re.compile(
r"^data:(?P<type>[^;]*);(?P... | null | rolejobs_api/parsers.py | parsers.py | py | 781 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "rest_framework.parsers.BaseParser",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.core.files.base.ContentFile",
"line_number": 30,
"usage_type": "call"
},
{
"a... |
576559061 | from django.urls import path
from . import views
urlpatterns = [
path('', views.cv_page, name='cv_page'),
path('education/', views.education_page, name='education_page'),
path('education/new/', views.education_new, name='education_new'),
path('education/edit/<int:pk>/', views.education_edit, name='education_edit')... | null | cv/urls.py | urls.py | py | 1,683 | 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",
... |
251299960 | """Tests for the strimziregistryoperator.deployments module.
"""
import yaml
from strimziregistryoperator.deployments import (
get_cluster_tls_listener)
def test_get_cluster_tls_listener():
manifest = (
'status:\n'
' conditions:\n'
' - lastTransitionTime: 2019-10-15T21:27:36+0000\n... | null | tests/test_deployments.py | test_deployments.py | py | 733 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yaml.safe_load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "strimziregistryoperator.deployments.get_cluster_tls_listener",
"line_number": 26,
"usage_type": "call"
}
] |
187324516 | #from django.views import ListView
from django.http import Http404
from django.views.generic import ListView, DetailView
from django.shortcuts import render,get_object_or_404
# from .tables import ProductTable
from django_tables2 import RequestConfig
from .models import ProductAccessory
class ProductDetailAccessoryS... | null | src/ProductAccessory/views.py | views.py | py | 2,152 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.views.generic.DetailView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "models.ProductAccessory.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "models.ProductAccessory.objects",
"line_number": 12,
"usage_type": "a... |
123605001 | from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'carrots_blog.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^admin/', include(admin.site.urls)),
url(r'^$', 'pos... | null | carrots_blog/carrots_blog/urls.py | urls.py | py | 474 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api... |
246334689 | background_image_filename='sushiplate.jpg'
mouse_image_filename="fuji.png"
###制定图像文件名称
import pygame
from pygame.locals import *
from sys import exit
##导入一些常用的函数和变量
#pygame.init()
##初始化pygame,为使用硬件做准备
pygame.display.set_mode((640,480),0,32)
#创建了一个窗口
pygame.display.set_caption('hello, world')
##设置窗口标题
background=pygame.... | null | py_example.py | py_example.py | py | 1,546 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
217288326 | from src.extractors.txt_extractor import TXTExtractor
from os.path import join
import luigi, os, json
class TXTTransformer(luigi.Task):
def requires(self):
return TXTExtractor()
def run(self):
result = []
for file in self.input():
with file.open() as txt_file:
... | null | gestor-de-datos-master/src/transformers/txt_transformer.py | txt_transformer.py | py | 1,741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "luigi.Task",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "src.extractors.txt_extractor.TXTExtractor",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os... |
285626268 | """
Copyright (c) 2016-2020 The scikit-optimize developers.
All rights reserved.
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 cond... | null | entmoot/optimizer/entmoot_minimize.py | entmoot_minimize.py | py | 14,729 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "copy.copy",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "inspect.currentframe",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "inspect.currentframe",
"line_number": 235,
"usage_type": "call"
},
{
"api_name": "collections.It... |
544243358 | import cmath
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def trapesmetoden(xlist, ylist):
I = 0
for i in range(len(xlist)-1):
I += (xlist[i+1]-xlist[i])*(ylist[i+1]+ylist[i])/2
return I
m = 9.11e-31
dx = 1.0E-10
V0 = 2e-19
E0 = V0
N = 10
hbar = ... | null | s4/kvante-TFY4215/Oblig øv 1/PmellomBarriere.py | PmellomBarriere.py | py | 3,376 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.asarray",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.eigh",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
... |
179026267 | import argparse
import os
import requests
import json
import time
import library.migrationlogger as migrationlogger
import library.localstore as store
from library.utils import get_next_url
logger = migrationlogger.get_logger(os.path.basename(__file__))
get_labels_url = 'https://api.newrelic.com/v2/labels.json'
get_m... | null | fetchlabels.py | fetchlabels.py | py | 4,220 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "library.migrationlogger.get_logger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "library.migrationlogger",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.basename",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
601015199 | import cv2
def takeSnapshot():
videoCaptureObject = cv2.VideoCapture(0)
result = True
while(result):
ret,frame = videoCaptureObject.read()
print (ret)
cv2.imwrite('newpicture.jpg',frame)
result = False
videoCaptureObject.release()
cv2.destroyAllWindows()
takeSnapshot... | null | takeSnapshots.py | takeSnapshots.py | py | 323 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_number": 12,
"usage_type": "call"
}
] |
524326813 | #!/usr/bin/python
# Author: Aaron Daugherty, Stanford University
# The following program will pull out any fastq reads matching a provided index within a specified number of mismatches
##### IMPORT MODULES #####
# import necessary for python
from __future__ import print_function
import os
import re
import s... | null | ATAC_scripts/matchIndexInFastq.py | matchIndexInFastq.py | py | 3,811 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.path.append",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_... |
615099754 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Date, Text
from datetime import datetime
from sqlalchemy.orm import sessionmaker
from datetime import datetime, timedelta
import random
engine = create_engine('sqlite:///card.s3... | null | Simple Banking System/task/banking/banking.py | banking.py | py | 7,371 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 16,
"usage_type": "call"
},
{... |
290373720 | import numpy as np
from multiprocessing import cpu_count
import sys
import os
import mandelfortran
import imagefortran
import time
import argparse
#This is probably poor form. But now it runs on a computer where I don't have the priviliges to use pip!
try:
import imageio
has_imageio = True
except ImportError:
from P... | null | multithread_mandel.py | multithread_mandel.py | py | 22,165 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 115,
"usage_type": "call"
},
{
"api_name": "numpy.real",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "numpy.imag",
"line_number": 117,
"usage_type": "call"
},
{
"api_name": "sys.platform",
"... |
129728248 | import numpy as np
import pandas as pd
import pickle
import lifelines
from lifelines import KaplanMeierFitter
import matplotlib
import matplotlib.pyplot as plt
with open('../data/bootout_conv.pkl', 'rb') as f: inputdata_list=pickle.load(f)
y_orig = inputdata_list[0]
preds_bootfull = inputdata_list[1]
inds_inbag = inpu... | null | demo/demo_KMplot.py | demo_KMplot.py | py | 1,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_numb... |
380651797 | '''
read any file and add the lines at the end of
file
Ex: read serializer.yml file and add lines
'''
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--filename',dest="filename", default ="serializer.yml",help="name of the file")
lines = ['\n', " "+'remote_user: admin\n'," "+'port: 22\n'," "... | null | plexus/tests/ads-mmtest/lib/utils/add_line.py | add_line.py | py | 582 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
}
] |
38404304 | import numpy as np
import pandas as pd
import matplotlib as mpl
mpl.use('TkAgg')
import matplotlib.pyplot as plt
from datetime import datetime
from lstm import *
from ts_algorithms import *
#get the df in shape
df = pd.read_csv("mawi-96hour.csv")
df = df[['Time', 'Traffic (GB)']]
df['Time'] = pd.to_datetime(df['Time']... | null | deeplearning/LSTM.py | LSTM.py | py | 3,013 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
... |
339609878 | '''
Measure how consistent data is
given a csv, check:
shape consistency: for every row, does the row have the same number of
columns as the rest of the rows?
type consistency: for each row, does the data have the same type as most of
the rest of the data (boolean, int, float, text?)
value... | null | clean_data.py | clean_data.py | py | 5,969 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.defaultdict",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "sys.argv"... |
135271819 | from django.shortcuts import render, redirect, get_object_or_404
from django.core.urlresolvers import reverse
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from django.contrib.auth import login, authenticate
from django.db import transaction
# Used to generate a ... | null | addrbook/views.py | views.py | py | 7,467 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "addrbook.models.Entry.objects.filter",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "addrbook.models.Entry.objects",
"line_number": 28,
"usage_type": "attribute"... |
621108476 | """
script pareses taxonomer output for processing through DESeq
"""
import argparse #std python imports
import os
import sys
import re
import glob
import numpy as np
###############
#GLOBALs
###############
parser=argparse.ArgumentParser(description="script pareses taxonomer output into experiment count matrix")
... | null | generate_count_matrix.py | generate_count_matrix.py | py | 3,901 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 103,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 106,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"... |
326265070 | import gym
import gym_gridworld
import numpy as np
import random
import matplotlib.pyplot as plt
import statistics
# Initialization
gamma = 0.9
alpha = 0.05
epsmin = 0.01
decay_rate = 0.995
episodes = 2000
exp = 50
avg_t = [[0 for i in range(episodes)] for j in range(exp)]
avg_r = [[0 for i in range(episodes)] for j i... | null | Gridworld/SARSA/SARSA.py | SARSA.py | py | 2,719 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.rand",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "random.randrange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random.cho... |
39719238 | import numpy as np
import cv2
import time
import os
from skimage.feature import hog
from functions import *
import matplotlib.pyplot as plt
from scipy.ndimage.measurements import label
class FindCar:
def __init__(self, clf, scaler, color_space='RGB',
spatial_size=(32, 32), hist_bins=32,
... | null | find_car_fast.py | find_car_fast.py | py | 8,757 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "cv2.resize",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 69,
... |
271793643 | import pandas as pd
import numpy as np
import lightgbm as lgb
from sklearn.metrics import roc_auc_score
from sklearn.model_selection import StratifiedKFold
from sklearn.feature_selection import VarianceThreshold
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler,LabelEncoder
... | null | machine_learning/Kesci_Bank/Method1.py | Method1.py | py | 9,336 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
253383881 | #
# Copyright (c) 2019-2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
#
# This Source Code Form is subject to the terms of the Apache License, version 2.0.
# If a copy of the Apache License, version 2.0 was not distributed with this file,
# you can obtain one at http://www.apache.org/licenses/LICENSE-2.... | null | IEC_LN.py | IEC_LN.py | py | 39,233 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "IEC_PrivateSupport.DynImport",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "IEC61850_XML_Class.IED.AccessPoint.Server.LN",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "IEC61850_XML_Class.IED.AccessPoint",
"line_number": 83,
"usage_... |
346793013 | from django.conf.urls import patterns, include, url
urlpatterns = patterns('company.views',
# Examples:
# url(r'^$', 'LancersApp.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
url(r'^home/$', 'Home'),
url(r'^jobs/$', 'Jobs'),
)
| null | company/urls.py | urls.py | py | 298 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 10,
"usage_type": "call"
}
] |
429509110 | # -*- coding: utf-8 -*-
from datetime import datetime, timedelta
from odoo.exceptions import Warning
from odoo import models, fields, api, _
class LoyaltyGroupActivatePaymentInvoiceLine(models.TransientModel):
"""
Modal Class for Group Definition
"""
_name = 'loyalty.group.activate.wizard.line'... | null | loyalty/wizard/group_activation_wiz.py | group_activation_wiz.py | py | 4,087 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "odoo.models.TransientModel",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many2one",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "odoo.f... |
1930723 | import pyttsx3 #pip install pyttsx3
import datetime
import speech_recognition as sr #pip install SpeechRecognition
import wikipedia #if you want wikipedia results pip install wikipedia
import webbrowser
import os
import smtplib
import random
import requests, json
engine= pyttsx3.init('sapi5') #sapi5 is a w... | null | killwish.py | killwish.py | py | 7,482 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyttsx3.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "speech_reco... |
597806005 | from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
from PyQt5 import QtCore, QtWidgets
from pytube import YouTube
from os import listdir
from threading import Thread
import sys
import vlc
import random
import subprocess
class MusicDisplay(QWidget):
def __init__(self):
super().__init__()
s... | null | KorMusic.py | KorMusic.py | py | 2,713 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytube.YouTube",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line... |
380118312 | """
Instructions:
This game starts with updating the board in init(). The dictionary keys represent
land position and dictionary values represent land resources, which is a list of:
1. the color of the land
2. plant type
3. how many days are left before the plant is ready to be harvest.
This game will ask you to enter ... | null | util.py | util.py | py | 17,339 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.OrderedDict",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 216,
"usage_type": "call"
},
{
"api_name": "copy.d... |
98229543 | import os
import subprocess
import sys
from glob import glob
from time import time
from datetime import datetime as dt, timedelta
import platform
if platform.system() == 'Windows':
splitter = '\\'
else:
splitter = '/'
base = splitter.join(__file__.split(splitter)[:-2])
if base not in sys.path:
sys.path.app... | null | src/processing/regrid_model_data.py | regrid_model_data.py | py | 2,770 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "platform.system",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_num... |
316633913 | import asyncpg
import asyncio
import time
class database(object):
def __init__(self, **kwargs):
self.pool = asyncio.get_event_loop().run_until_complete(self.new_connection(**kwargs))
@classmethod
async def new_connection(self, **kwargs):
return await asyncpg.create_pool(user=kwargs.pop("u... | null | bot/utils/database.py | database.py | py | 2,009 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncpg.create_pool",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "time.perf... |
233933019 | import ply.yacc as yacc
import AST
from lex4 import tokens
#VERSION 1
#def p_program(p):
# '''program : statement
# | statement SEMI_COLON program'''
# #print(*p)
# p[0] = p[1]
#VERSION 2
def p_programme_statement(p):
'''program : statement'''
p[0] = AST.ProgramNode(p[1])
#VERSION 2
def p_program_recursive(p):
... | null | compilation/Projet_PLY/02_TP/parser4.py | parser4.py | py | 2,479 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "AST.ProgramNode",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "AST.ProgramNode",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "AST.TokenNode",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "AST.AssignNode",
"l... |
8366508 | import logging
from galaxy import util
from galaxy.model import tool_shed_install
from galaxy.web import url_for
from galaxy.web.framework.helpers import grids, iff
from tool_shed.util import repository_util
log = logging.getLogger(__name__)
def generate_deprecated_repository_img_str(include_mouse_over=False):
... | null | lib/tool_shed/galaxy_install/grids/admin_toolshed_grids.py | admin_toolshed_grids.py | py | 12,725 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "galaxy.web.url_for",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "galaxy.web.url_for",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "galaxy.web.url... |
419277077 | import requests
from bs4 import BeautifulSoup
import config
from spotipy.oauth2 import SpotifyOAuth
import spotipy
import datetime
API_KEY = config.api_key
API_SECRET = config.api_secret
def get_date():
date_str = input("Which year do you want to travel to? Type the date in this format YYYY-MM-DD: ")
return... | null | main.py | main.py | py | 2,061 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "config.api_key",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.api_secret",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulS... |
450488468 | import re
from datetime import datetime
from typing import Dict, Iterator
from bs4 import Tag
from .step import Step
class SpeechProvider(Step):
"""
Extracts all information from a speech tag and provides it as a Python dictionary
"""
def __init__(self, tag_provider: Iterator[Tag]):
self._t... | null | src/steps/speech.py | speech.py | py | 1,454 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "step.Step",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bs4.Tag",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Iterator",
"line_number"... |
374654540 | from dataclasses import dataclass, field
from enum import Enum
from typing import ClassVar, Literal
from xsdata.formats.dataclass.models.elements import XmlType
from ...enum import ElementPrefix, ItemType
from .abstract import ItemCommon
@dataclass(eq=False)
class AuthorCommon(ItemCommon):
class Type(Enum):
... | null | mugimugi_client_api_entity/common/item/author.py | author.py | py | 879 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "abstract.ItemCommon",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "enum.Enum",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "enum.ItemType.AUTHOR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "enum.ItemType... |
608670868 | import json
import requests
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
@login_required
def news(request):
search = request.GET.get("search")
response = requests.get("http://watcha.net/home/news.json?page=1&per=50")
news_dict = json.loads(response.text)
... | null | wpsblog/wpsblog/views/news.py | news.py | py | 565 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.d... |
311930483 | import json
import urllib.request
import urllib.parse
from twilio.rest import Client
def dispatch_sms(message, number, source, apikey = None, from_v = None, auth_token = None, account_sid = None):
if source == "textlocal":
data = urllib.parse.urlencode({'apikey': apikey , 'numbers': number,'message' : me... | null | app/sms_util.py | sms_util.py | py | 1,052 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib.request.parse.urlencode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.parse",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "... |
160547443 | from __future__ import print_function
import argparse
from os.path import join
import cifar_utils as ut
def get_args():
"""get args from console."""
# get args.
parser = argparse.ArgumentParser(description='Parse CIFAR10')
parser.add_argument('--data_dir', default='None')
# parse args.
args ... | null | dl-dataset/code/dataset/cv/cifar/cntk_cifar/install_cifar10.py | install_cifar10.py | py | 1,136 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cifar_utils.loadData",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cifar_utils... |
514322067 | #! -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
from keras.datasets import cifar10
unseen_class = [0]
def split_dataset(args):
xdata, ydata, uc = args
index = []
unseen_x = []
unseen_y = []
for i in range(len(ydata)):
if(ydata[i] in uc):
index.append(i)... | null | data/cifar10_dataset_split.py | cifar10_dataset_split.py | py | 928 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.delete",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.row_stack",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.datasets.cifar10.load... |
523925340 | import json
import logging
import pytest
from resources.test_support.helm import ChartDeployment, HelmChart
@pytest.fixture(scope="class")
def skuid_chart(request, helm_adaptor):
chart_values = {
'ingress.enabled': 'true'
}
request.cls.chart = HelmChart("skuid", helm_adaptor, initial_chart_value... | null | pre-deployment/tests/skuid_chart_test.py | skuid_chart_test.py | py | 6,723 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "resources.test_support.helm.HelmChart",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "reso... |
400134405 | import json
if __name__ == "__main__":
with open("news_type.json", "r") as f:
news_type = json.load(f)
with open("news_wc.json", "r") as f:
news_wc = json.load(f)
wc_global = [{} for i in range(5)]
for date in news_wc:
for idx in range(len(news_wc[date])):
wc =... | null | proj/news_theme.py | news_theme.py | py | 1,838 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 55,
"usage_type": "call"
}
] |
407775001 | # get a dataframe with the member badge Key and corresponding background field and affiliation
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
def run_all(attendees_metadata,members_metadata,tmp_m2ms,time_period):
background = pd.DataFrame(columns=['name','badge','background','affil... | null | URMC_CTSI_openbadge_analysis/member_to_member_function.py | member_to_member_function.py | py | 8,297 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.DataFrame",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"li... |
647752249 | #! /usr/bin/env python
import desir
import os
import pathlib
# make annotated back covers
cur_directory = pathlib.Path(os.environ["DESIR"], "exg", "py")
script = pathlib.Path(cur_directory, "make-desir-annotated-back-covers.py")
os.system(script)
# make annotated parts
input_directory = pathlib.Path(os.environ["DESI... | null | desir/etc/scr/make-desir-annotated-parts.py | make-desir-annotated-parts.py | py | 1,430 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number":... |
518191474 | import re
import random
from operator import itemgetter
import core.module as module
import modules.CashmoneyModule as cash
def is_int(input):
return re.match(r"[-+]?\d+$", input) is not None
STATE_IDLE = "idle"
STATE_INGAME = "running game"
STATE_FINISHED = "finishing game"
STATE_COOLDOWN = "cooling down"
clas... | null | botv3/modules/BetModule.py | BetModule.py | py | 8,038 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.match",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "core.module.strip_name",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "core.module",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "core.module.send_message_n... |
193398572 | import unittest
from utils import encode, decode, create_marker
class TestStringMethods(unittest.TestCase):
def test_encode_decode(self):
teststring = 'DD1234'
self.assertEqual(teststring, decode(encode(teststring)))
@unittest.skip("fails in travis")
def test_markers(self):
self.... | null | test_utils.py | test_utils.py | py | 426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "utils.decode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.encode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "utils.create_marker",
... |
385479666 | from django import template
from lfs.catalog.models import Product
from lfs.history.models import UserHistory
from django.conf import settings
from lfs.catalog.settings import VARIANT
register = template.Library()
@register.inclusion_tag('lfs/history/last_seen.html', takes_context=True)
def get_last_seen_products()... | null | lfs/history/utils.py | utils.py | py | 1,570 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.template.Library",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "lfs.catalog.models.Product.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"a... |
417527864 | import cv2
import glob
def png_to_bmp(full_dir):
for file in glob.glob(full_dir + "*.png"):
img = cv2.imread(file)
cv2.imwrite(file[:-3] + "bmp", img)
def bmp_to_png(full_dir):
for file in glob.glob(full_dir + "*.bmp"):
img = cv2.imread(file)
cv2.imwrite(file[:-3] + "png", img... | null | diplom_test/unused_code/convert_png_and_bmp.py | convert_png_and_bmp.py | py | 405 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 11,
... |
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