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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
181948390 | # time measure
import datetime
class TimeMeasure:
cycle_cnt = 0 # all checkpoints are run in cycle; this is cycle counter
first_ckp = None # label of first ckp in cycle (to count cycles)
last_ckp = None # last checkpoints called
checkpoints = {} # info about all checkpoints$ they will be added by .s... | null | timer.py | timer.py | py | 3,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "da... |
606966776 | import fpdf as fpdf
import xlwt
from flask import Flask, render_template, session, redirect, url_for, request, flash, make_response, Response
from flask_mysqldb import MySQL #imported mysql for database
from passlib.handlers.sha2_crypt import sha256_crypt
from wtforms import Form,StringField,TextAreaField,IntegerF... | null | app.py | app.py | py | 42,929 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "wtforms.Form",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
... |
284273644 | # encoding = 'utf-8'
import re
import requests
import json
import time
from multiprocessing import Pool
def addadress(url, page):
page = str(page)
return url + '/page/' + page
def getnameandurl(eachclassurl):
page = 1
nameandurl = {}
f = open('moviex.txt', 'a', encoding='utf-8')
while True:
eachpage = addadre... | null | movie.py | movie.py | py | 1,735 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 24,... |
326955287 |
# coding: utf-8
# <h3>Question 2</h3>
# In[ ]:
import numpy as np
import matplotlib.pyplot as mp
# In[ ]:
########################## Question 2.1 : compute mean squared error ####################
def compute_mse(pred,sample):
totalError = 0
a = pred
b = sample
diff_vals = np.subtract... | null | gradient_descent.py | gradient_descent.py | py | 7,412 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.subtract",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.square",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.uniform",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"... |
102001056 | import time
from watchdog.observers import Observer
from watchdog.events import PatternMatchingEventHandler
from subprocess import call
from time import sleep
from sentiment import relativepath
import os
class Watcher:
DIRECTORY_TO_WATCH="."
def __init__(self):
self.observer = Observer()
def run(s... | null | wawtchdawg/wtchdg.py | wtchdg.py | py | 2,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "watchdog.observers.Observer",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "watchdog.events.PatternMatchingEventHandler",
"line_number": 28,
"usage_type": "name"
},
{
... |
272803247 | # coding=UTF-8
from django.conf.urls import patterns, url
from party_bl import views
urlpatterns = patterns('',
url(r'^$', views.index, name='index'),
url(r'^report', views.report, name='report'),
url(r'^event', views.event, name='event')
) | null | partyprice/party_bl/urls.py | urls.py | py | 254 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "party_bl.views.index",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": ... |
146559406 | import os
import sys
import shutil
import pandas_datareader as web
import numpy as np
from configobj import ConfigObj
class dynamicaly_calculate_nine_one_rule:
def add_date_column(input_df):
input_df['date'] = input_df.index
# Calculate customized exponential moving average
def calculate_input_d... | null | python/LEI/dynamicly_calculate_nine_one_rule.py | dynamicly_calculate_nine_one_rule.py | py | 4,141 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.round",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": ... |
201494390 | #!/usr/bin/env python3
from sage.all import *
from itertools import chain, combinations, takewhile
from functools import reduce
import operator
import math
from Crypto.PublicKey import RSA
message = b"Quack! Quack!"
question_to_ask = b"Hello! Can you give me the flag, please? I would really appreciate it!"
base = int.... | null | rsa-service/smooth.bak.py | smooth.bak.py | py | 2,315 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "functools.reduce",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "itertools.chain.from_iterable",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "iter... |
507178406 | from selenium import webdriver
import time
import itertools
url = 'https://www.bestbuy.com/site/promo/health-fitness-deals'
driver = webdriver.Firefox()
driver.get(url)
time.sleep(2)
# page "Hello! Choose a Country" - selecting Unitet State flag
driver.find_element_by_class_name('us-link').click()
items = []
for ... | null | __scraping__/bestbuy.com - selenium/main-url-with-params---itertools-count.py | main-url-with-params---itertools-count.py | py | 907 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "itertools.coun... |
213498978 | # -*- coding: utf-8 -*-
import pdb
import os
import argparse
from tensorboardX import SummaryWriter
from Networks import *
from torchvision.utils import make_grid
from itertools import chain
from util.image_pool import ImagePool
from util.loss import GANLoss
from util.net import weights_init, Discriminato... | null | main_translation.py | main_translation.py | py | 14,623 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "utils.load_data",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "util.sampler.... |
478461822 | # This file is a part of MediaDrop (http://www.mediadrop.video),
# Copyright 2009-2015 MediaDrop contributors
# For the exact contribution history, see the git revision log.
# The source code contained in this file is licensed under the GPLv3 or
# (at your option) any later version.
# See LICENSE.txt in the main projec... | null | lib/players.py | players.py | py | 39,203 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mediadrop.plugin.abc.AbstractClass",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "mediadrop.plugin.abc.abstractproperty",
"line_number": 40,
"usage_type": "call"
},... |
330859867 | """Tests for scandir.scandir()."""
import os
import sys
import unittest
try:
import scandir
has_scandir = True
except ImportError:
has_scandir = False
FILE_ATTRIBUTE_DIRECTORY = 16
test_path = os.path.join(os.path.dirname(__file__), 'dir')
IS_PY3 = sys.version_info >= (3, 0)
if IS_PY3:
int_types =... | null | test/test_scandir.py | test_scandir.py | py | 8,097 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"lin... |
523629944 | from __future__ import unicode_literals
from threading import Timer
from wxpy import *
import requests
import random
bot = Bot()
my_friend = bot.friends().search('Omine')[0]
def get_news():
url = "http://open.iciba.com/dsapi/"
r = requests.get(url)
content = r.json()['content']
note = r.json()['note']... | null | robot-demo/index.py | index.py | py | 1,417 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "threading.Timer",
"line_number": 46,
"usage_type": "call"
}
] |
474831586 | import subprocess
import shutil
import os
import logging
class Renamer:
def getRenamePath(self, contentFile):
return os.path.join(
self.renameRoot,
contentFile.getCosmeticDir(),
contentFile.getCosmeticFileName())
def __init__(self, renameRoot):
self.renameRo... | null | src/renamers.py | renamers.py | py | 1,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.islink",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
235276419 | # fmt: off
import sys
sys.path.append('../')
from utils.base import Base # pylint: disable=wrong-import-position,import-error
# fmt: on
import re
import copy
class Valve:
pattern = r"^Valve (\w+) has flow rate=(\d+);"
def __init__(self, line):
match = re.search(self.pattern, line)
self.name =... | null | 2022/Day16/main.py | main.py | py | 2,582 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "utils.base.Base",
"line_num... |
232024971 | from tkinter import Image, Canvas, Tk, Button, YES, BOTH, LEFT, RIGHT, BOTTOM
import PIL
from PIL import Image, ImageDraw
import pickle
import numpy
from neural_lib import feed_forward2
def activate_paint(e):
global lastx, lasty
cv.bind('<B1-Motion>', paint)
lastx, lasty = e.x, e.y
def paint(e):
glo... | null | main.py | main.py | py | 3,420 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pickle.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "PIL.Image",
"line_number": 5... |
572309849 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue May 21 11:12:46 2019
@author: vardanchennupati
"""
#
import pandas as pd
import numpy as np
import seaborn as sns
import mpl_toolkits
import matplotlib.pyplot as plt
import re
#
data=pd.read_csv('new5.csv')
data1=pd.read_csv('New_Crime_Watch.csv')
#Dro... | null | House price Prediction model/models/DC_CrimeData/rent prediction IND1.py | rent prediction IND1.py | py | 7,680 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_... |
489914380 | import six
import time
from six.moves.queue import Queue
from scrapy_plus.utils.log import logger
from scrapy_plus.utils.queue import Queue as RedisQueue
import w3lib.url
from hashlib import sha1
from scrapy_plus.conf.settings import SCHEDULER_PERSIST
from scrapy_plus.utils.set import RedisFilterContainer, NoramlFilte... | null | temp/build/lib/scrapy_plus/cores/scheduler.py | scheduler.py | py | 2,982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy_plus.conf.settings.SCHEDULER_PERSIST",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "scrapy_plus.utils.queue.Queue",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "scrapy_plus.utils.set.RedisFilterContainer",
"line_number": 22,
... |
18487553 | from helpers.nexushelpers import OpenNexusFileWhenAvailable
from helpers.kafkahelpers import (
create_producer,
send_writer_command,
consume_everything,
publish_f142_message,
)
from helpers.timehelpers import unix_time_milliseconds
from time import sleep
from datetime import datetime
def test_filewrit... | null | system-tests/test_filewriter_stop_time.py | test_filewriter_stop_time.py | py | 3,272 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "helpers.kafkahelpers.create_producer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "helpers.kafkahelpers.send_writer_command",
"line_number": 17,
"usage_type": "call"
},
... |
451527542 | from inspect import stack
import pytest
from MobileApps.libs.flows.ios.smart.flow_container import FlowContainer
from MobileApps.resources.const.ios.const import *
from MobileApps.resources.const.ios.const import HOME_TILES
from SAF.misc import saf_misc
from time import sleep
pytest.app_info = "SMART"
class Test_Sui... | null | tests/ios/smart/functionality/onboarding/test_suite_02_user_onboarding_functionality.py | test_suite_02_user_onboarding_functionality.py | py | 5,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.app_info",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "MobileApps.libs.flows.ios.smart.flow_container.FlowContainer",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"... |
564865589 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
from mock import DEFAULT, Mock, patch, call
import six
from mylinux.libs import AppErr
from mylinux.model import Files
from mylinux.model import module_Files
from mylinux.libs.Assert import Assert
Test = Assert()
builtin_str = six.moves.builtins.__name... | null | tests/units/model/test_Files.py | test_Files.py | py | 11,298 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mylinux.libs.Assert.Assert",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "six.moves",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "unittest.TestCase",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "myli... |
11845709 | import sqlite3
def ExecuteSQL(sql):
db = sqlite3.connect("../src/server/databases/codeBlocks.db")
cursor = db.cursor()
data = cursor.execute(sql).fetchall()
db.close()
return data;
def ReadDatabase():
sql_entry = "SELECT * FROM codeBlocks";
data = ExecuteSQL(sql_entry);
for i in ... | null | src/stats/stats.py | stats.py | py | 361 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 4,
"usage_type": "call"
}
] |
456201061 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 2 12:36:25 2020
@author: burt
do heatmaps for model specific parameters timer rmyc and ril2 and look at readouts
"""
import numpy as np
import seaborn as sns
from parameters import d
import sys
sys.path.append("/home/burt/Documents/projects/2019/... | null | results/2020_w3_menten/heatmaps/heatmap_timer_il2.py | heatmap_timer_il2.py | py | 2,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "seaborn.set",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_nu... |
60020561 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 16 22:48:01 2015
@author: BobbyIngram
"""
import data_access as db
import web_scraper as ws
import numpy as np
import pandas as pd
import itertools
def kelly(prob, odds, bank):
''' 1/2 Kelly Criterion '''
kelly_stake = bank * (((prob*(odds+1))-1)/(2*prob))
... | null | bet_chooser.py | bet_chooser.py | py | 2,684 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.permutations",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.... |
478463006 | from moto import mock_s3
from pfio.v2 import S3, from_url, pathlib
def test_name():
p = pathlib.Path('foo.txt')
assert 'foo.txt' == p.name
p = pathlib.Path('foo/')
assert 'foo' == p.name
def test_suffix():
p = pathlib.Path('foo.txt')
assert '.txt' == p.suffix
assert 'foo.asc' == str(p... | null | tests/v2_tests/test_pathlib.py | test_pathlib.py | py | 3,709 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pfio.v2.pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pfio.v2.pathlib",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pfio.v2.pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pfio.v2.pathl... |
481146262 | '''ResNet in PyTorch.
For Pre-activation ResNet, see 'preact_resnet.py'.
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Deep Residual Learning for Image Recognition. arXiv:1512.03385
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
from woollylib.models.model import get_no... | null | woollylib/models/resnet.py | resnet.py | py | 5,067 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "woollylib.models.model.WyConv2d",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "woollyl... |
474736192 | import sqlite3
arq = open ("PesoAltura.txt","r")
L = arq.readlines()
arq.close()
print("\nLinha do arquivo")
sql="""update cadastro set peso = ?, altura = ?
where codigo = ?"""
conector = sqlite3.connect("academia.db")
cursor = conector.cursor()
for s in L:
d = s.rstrip()
d = s.split(";")
... | null | projeto agenda/python com sql/4 UPDATE NOS DADOS DO CADASTRO.py | 4 UPDATE NOS DADOS DO CADASTRO.py | py | 532 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
}
] |
467282459 | #!python3
'''
数据库操作类
author: justZero
email: alonezero@foxmail.com
date: 2017-8-6
'''
import time
import pandas as pd
import numpy as np
import pymysql
import pymysql.cursors
import pprint
class MySQLdb(object):
def __init__(self):
self.conn = pymysql.connect(
host='localho... | null | spider/db.py | db.py | py | 1,682 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymysql.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
447195806 | # See LICENSE for details
import os
import sys
import pluggy
import shutil
from river_core.log import logger
import river_core.utils as utils
from river_core.constants import *
import random
import re
import datetime
import pytest
from envyaml import EnvYAML
def gen_cmd_list(gen_config, seed, count, output_dir, modu... | null | generator_plugins/aapg_plugin/gen_framework.py | gen_framework.py | py | 4,164 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "river_core.log.logger.debug",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "river_core.log.logger",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "os.getcwd",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "envyaml.E... |
390017939 | """
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Make animations of 3d rotating polyhedron
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This script computes the data of the polyhedron, writes them
as macros into a POV-Ray include file, and automatically
calls POV-Ray to render the frames and finally calls FFmpeg
to convert ... | null | src/polytopes/run_3d_polyhedra_animation.py | run_3d_polyhedra_animation.py | py | 6,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "helpers.pov_array",
"line... |
165120424 | import scrapy
import time
from urllib import parse
import json
import math
import pymongo
import requests
import hack.include.stock as stock
from datetime import datetime
class dongfang(scrapy.Spider):
name='dongfangcaifu'
def __init__(self):
myclient = pymongo.MongoClient("mongodb://192.168.142.1:2701... | null | bigData/spiders/dongfangcaifu.py | dongfangcaifu.py | py | 3,985 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.Spider",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.time",
"lin... |
119982576 | # def convert():
def multiplot(view, x, y, divisions, divisor):
# x, y & divisor are SQLite column names, divisions an integer
if divisions==1:
query = ""
# convert()
import matplotlib.pyplot as plt
exec('xvar=%s' % (x))
exec('yvar=%s' % (x))
yvar = '%s' % (x)
... | null | detail.py | detail.py | py | 2,419 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matp... |
224001219 | #fashion-mnist training
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torchvision
import torchvision.transforms as transforms
from pathlib import Path
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print("Device used:", device)
file_Save... | null | Learning PyTorch/FashionMNIST.py | FashionMNIST.py | py | 3,247 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
... |
525738741 | import glfw
from OpenGL.GL import *
import numpy as np
def render(T):
glClear(GL_COLOR_BUFFER_BIT)
glLoadIdentity()
# draw cooridnate
glBegin(GL_LINES)
glColor3ub(255, 0, 0)
glVertex2fv(np.array([0.,0.]))
glVertex2fv(np.array([1.,0.]))
glColor3ub(0, 255, 0)
glVertex2fv(np.array([0.... | null | LabAssignment/LabAssignment3/1/1.py | 1.py | py | 1,661 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
134076181 | """
无向带权连通图
1-k为休息点(基地)
q个查询 问能否从xi走到yi
高桥君不休息一次最多能行走距离为ti (ti单调递增;其实不递增也可以,并查集+离线查询按ti排序即可)
n,m,q<=2e5
解法:
1. 多源dijkstra算出点离他最近的基地 形成若干个组(每个点属于哪个基地)
那么从一个组走到另一个组后 最好先马上去休息 (最好先去离这个点最近的基地)
问题就转化为基地之间走了
2. 建立新图
3. 边排序；离线查询+并查集 判断两个组是否连通
"""
from collections import defaultdict
from heapq import heappo... | null | 20_杂题/atc競プロ/AtCoder Beginner Contest/250/Ex - Trespassing Takahashi-并查集.py | Ex - Trespassing Takahashi-并查集.py | py | 4,835 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "collections.d... |
312083123 | import requests
import json
from bs4 import BeautifulSoup
def megasena_api():
URL_ULTIMOS_RESULTADOS = "http://www1.caixa.gov.br/loterias/loterias/megasena/megasena_pesquisa_new.asp"
page = requests.get(URL_ULTIMOS_RESULTADOS)
bs = BeautifulSoup(page.content, "html.parser")
numeros_sena = [ n.contents[... | null | ExemplosAPI/numerosMegaSena.py | numerosMegaSena.py | py | 617 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 15,
"usage_type": "call"
}
] |
370199553 | import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
''' Aqui vamos fazer um histograma com a produção de produtos unicamente energéticos derivados do petróleo entre os anos de 2009 a 2018, e fazer a sua comparação (isolados e juntos).'''
energetico = pd.read_csv('Anuário Estatístico 2019 - Di... | null | Evolução produtos unicamente energéticos.py | Evolução produtos unicamente energéticos.py | py | 6,093 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "matplotlib.p... |
272771801 | from ptxprint.runner import fclist, checkoutput
import struct, re
from gi.repository import Pango
pango_styles = {Pango.Style.ITALIC: "italic",
Pango.Style.NORMAL: "",
Pango.Style.OBLIQUE: "oblique",
Pango.Weight.ULTRALIGHT: "ultra light",
Pango.Weight.LIGHT: "light",
Pango.Weight.NORMAL: "",
P... | null | python/lib/ptxprint/font.py | font.py | py | 7,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "gi.repository.Pango.Style",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Pango",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "gi.repository.Pango.Style",
"line_number": 6,
"usage_type": "attribute"
},
{
"ap... |
505070549 | from PIL import Image, ImageDraw
import numpy as np
def str_into_number(line):
'''Превращает список символов в список чисел'''
line = line.split()
result = np.zeros(len(line))
for i in range(len(line)):
result[i] = float(line[i])
return list(result)
def read_file(file_name, x_dimen, y_dimen):
'''... | null | Render.py | Render.py | py | 2,138 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image.new",
"line_number":... |
169944110 | '''Train with PyTorch.'''
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import os
import os.path as osp
import argparse
from models import *
from utils import progress_... | null | main.py | main.py | py | 7,111 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "torch... |
45018751 | #!/usr/bin/env python3
import io
import os
import tempfile
from unittest import TestCase, main
from readalongs.app import app
from readalongs.cli import align
from readalongs.log import LOGGER
class TestAlignCli(TestCase):
LOGGER.setLevel("DEBUG")
data_dir = os.path.join(os.path.dirname(__file__), "data")
... | null | test/test_align_cli.py | test_align_cli.py | py | 7,079 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "readalongs.log.LOGGER.setLevel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "readalongs.log.LOGGER",
"line_number": 14,
"usage_type": "name"
},
{
"api_name":... |
595001709 | from pylab import *
import networkx as nx
from networkx.algorithms import bipartite
import itertools
import warnings
import numpy.random
# from scipy.special import factorial
import itertools
import scipy
import sys
import pickle
import argparse
from multiprocessing import Pool
sys.path.insert(0, "../../lib/") # add ... | null | Section-4/gene-knockout/knockout_cascade.py | knockout_cascade.py | py | 4,268 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_nu... |
371553104 | from operator import truediv
import os
from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
import pymysql
DATABASE_ACCOUNT = os.environ["DATABASE_ACCOUNT"]
DATABASE_PASSWORD = os.environ["DATABASE_PASSWORD"]
DATABASE_DOMAIN_NAME = os.environ["DATABASE_DOMAIN_NAME"]
DATABASE_NAME = os.envir... | null | flask_blog/app.py | app.py | py | 4,615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_n... |
24309628 | import time
from twisted.internet import defer, reactor
@defer.inlineCallbacks
def wait_until(condition, timeout=5):
end_time = time.time() + timeout
while True:
result = yield defer.maybeDeferred(condition)
if result:
defer.returnValue(condition)
elif time.time() > end_t... | null | testing/twisted_util.py | twisted_util.py | py | 733 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "twisted.internet.defer.maybeDeferred",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "twisted.internet.defer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "... |
213184139 | #!/usr/bin/python3
# 3b-opt.py
# Backup tool
# Anthony DOMINGUE
# 04/11/2018
import argparse
import tarfile
import hashlib
import signal
import json
import sys
import os
config_dir = "./.config"
hashes_json = config_dir + "/hashes.json"
def terminate(code: int, message=""):
"""
Properly exit the script wi... | null | scripts/3b-opt/3b-opt.py | 3b-opt.py | py | 7,633 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.exit",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
"lin... |
316904726 | import os
import json
from datapackage_pipelines.generators import \
GeneratorBase, slugify, steps
SCHEMA_FILE = os.path.join(os.path.dirname(__file__), 'schema.json')
class Generator(GeneratorBase):
@classmethod
def get_schema(cls):
return json.load(open(SCHEMA_FILE))
@classmethod
def... | null | datapackage_pipelines_fiscal/generator.py | generator.py | py | 6,584 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datapackage_pipelines.generato... |
583963919 | """
This script tests the full MPI Delaunay triangulation algorithm.
Example run command:
mpiexec -np 4 python .\run_triangulation_test_mpi.py
"""
# ---------------------------------- Imports ----------------------------------
# Standard library imports
from mpi4py import MPI
# Repo module imports
... | null | src/delauney_triangulation/run_triangulation_test_mpi.py | run_triangulation_test_mpi.py | py | 2,205 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mpi4py.MPI.COMM_WORLD",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "mpi4py.MPI.Wtime",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mpi4py.MPI",
... |
492145241 | # coding:utf-8
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from mysql.items import NewsItem
from scrapy import log
import urllib
import scrapy
import re
import string
import time
from selenium import webdriver
class test_crawler(CrawlSpider):
name = '8_Philippines... | null | mysql/spiders/8_Philippines_dti.py | 8_Philippines_dti.py | py | 3,229 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scrapy.log",... |
143597046 | """
This module contains the necessary fixtures for running test cases with
Ixia devices and IxNetwork. If more fixtures are required, they should be
included in this file.
"""
import pytest
from ixnetwork_restpy import SessionAssistant
from tests.common.fixtures.conn_graph_facts import conn_graph_facts,\
fanout_g... | null | tests/common/ixia/ixia_fixtures.py | ixia_fixtures.py | py | 9,923 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.skip.Exception",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pytest.skip",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pytest.fixture"... |
275397322 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.cm as cm
from matplotlib.colors import LogNorm
from mpl_toolkits.axes_grid1 import make_axes_locatable
def massDistribution(dataPath='',showPlot=True,arguments=[]):
zParam = 1
if len(arguments)>0:
... | null | src/Plots/massDistribution.py | massDistribution.py | py | 1,802 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
600630881 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 10 12:09:54 2017
@author: shubra
"""
import tensorflow
import keras
from utils import *
# Load training set
X_train, y_train = load_data()
print("X_train.shape == {}".format(X_train.shape))
print("y_train.shape == {}; y_train.min == {:.3f}; y_train.max =... | null | CV-FacialKeypoints/test.py | test.py | py | 3,962 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.Sequential",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "keras.layers.Convolution2D",
"line_number": 67,
"usage_type": "call"
},
{
"api... |
628856835 | import pickle
import json
import pprint
import time
from charger_schema import JOURNEY_MODEL
from oef.agents import OEFAgent
from oef.messages import CFP_TYPES
from oef.schema import Description
from fetchai.ledger.api import LedgerApi
from fetchai.ledger.contract import SmartContract
from fetchai.ledger.crypto import... | null | charger_agent.py | charger_agent.py | py | 5,589 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "oef.agents.OEFAgent",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "oef.schema.Description",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "charger_schema.JOURNEY_MODEL",
"line_number": 23,
"usage_type": "argument"
},
{
"api_n... |
151970712 | """Constants for the Ruckus Unleashed integration."""
import logging
DOMAIN = "ruckus_unleashed"
PLATFORMS = ["device_tracker"]
SCAN_INTERVAL = 180
_LOGGER = logging.getLogger(__name__)
COORDINATOR = "coordinator"
UNDO_UPDATE_LISTENERS = "undo_update_listeners"
CLIENTS = "clients"
| null | homeassistant/components/ruckus_unleashed/const.py | const.py | py | 286 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
}
] |
555877590 | from django.urls import path
from . import views
app_name = 'products'
urlpatterns = [
path('', views.products_list, name = 'list'),
path('create/', views.product_create, name='create'),
path('<int:id>/', views.products_detail, name='detail'),
path('edit/<int:id>/', views.product_edit, name='edit'),
... | null | ProductWeb/products/urls.py | urls.py | py | 388 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
232566002 | from django.shortcuts import render
from games.serializes import GameSerializer
from games.models import Game
from rest_framework.response import Response
from rest_framework import status
from rest_framework.decorators import api_view
import json
# Create your views here.
@api_view(['GET', 'POST'])
def game_list(req... | null | games/views.py | views.py | py | 1,637 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "games.serializes",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "games.models.Game.objects.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "games.models.Game.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api... |
317312035 | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | null | keystone/common/sql/data_migration_repo/versions/062_migrate_extract_redelegation_data_from_extras.py | 062_migrate_extract_redelegation_data_from_extras.py | py | 1,509 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "oslo_serialization.jsonutils.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name"... |
19375815 | import openslide
import math
import numpy as np
import os
from PIL import Image
patch_size=299
level=0
mean_grey_values=0.2*255 ##?????0.8
number_of_useful_regions = 0
basename="/Users/general/Projects/PathologicalImages/"
outname=basename+"out/"
wsi=basename+"Leica-3.scn"
img = openslide.OpenSlide(wsi)
print(wsi)
img... | null | CoRegistration/temp/Extract_Patchs.py | Extract_Patchs.py | py | 1,791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openslide.OpenSlide",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
200205678 | # Copyright 2011 James McCauley
#
# This file is part of POX.
#
# POX is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# POX is distri... | null | p3/pox_module/cs640/ofhandler.py | ofhandler.py | py | 4,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pox.core.core.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pox.core.core",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "pox.openflow.libopenflow_01.ofp_set_config",
"line_number": 52,
"usage_type": "call"
},
{
"... |
159111431 | import sys
from PyQt4 import QtGui
from PyQt4 import QtCore
from serial.tools import list_ports
import threading
import time
import serial
is_running = True
class UpperFrame(QtGui.QWidget):
def __init__(self):
QtGui.QWidget.__init__(self)
initial_scrollback = 2000
self.layout = QtGui.QVB... | null | main_qt.py | main_qt.py | py | 12,997 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt4.QtGui.QWidget",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "PyQt4.QtGui",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PyQt4.QtGui.QWidget.__init__",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQ... |
516978101 | # from models.layers import *
from itertools import combinations
from collections import defaultdict as ddict
import torch.nn.functional as F
import torch
import torch.nn as nn
import torch_geometric as tg
from torch_geometric.nn import GCNConv, SAGEConv, GINConv, TAGConv, GATConv
# from models.mlp import MLP
from mlp ... | null | lp/homo/homo_delta/models.py | models.py | py | 17,219 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
... |
593799816 | """ This module is used to subclass flask blueprints so as to store the information
about the routes. One of the uses of this information is to make python and unity bindings
"""
__author__ = 'Ben Christenson'
__date__ = "10/12/15"
from functools import wraps
from flask import Blueprint
from seaborn import funct... | null | seaborn/flask/blueprint/blueprint.py | blueprint.py | py | 7,489 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.function_arguments",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "seaborn.function_path",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "seaborn.function_defaults",
"line_number": 35,
"usage_type": "call"
},
{
"api_na... |
10682357 |
import dicom
import numpy
import matplotlib.pyplot as plt
import matplotlib.widgets as wdg
path = "/media/sf_hserver1_images/hugh/patient/"
orig = dicom.read_file(path + "orig.ima")
mcor = dicom.read_file(path + "mcor_hermes_axis.ima")
fixed = dicom.read_file(path + "fixed.ima")
w, h = 0.25, 0.7
def load_frame(f):... | null | headerfix/imagedisp.py | imagedisp.py | py | 787 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dicom.read_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dicom.read_file",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dicom.read_file",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axes... |
606264546 | from collections import defaultdict
from algorithms.graphs.src.graph import Graph
__author__ = 'PankajSharma'
class UndirectedGraph(Graph):
def __init__(self, vertices):
if vertices < 1:
raise ValueError("A graph should have at least one vertex.")
self._vertices = vertices
... | null | Graphs/algorithms/graphs/src/undirected_graph.py | undirected_graph.py | py | 1,255 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "algorithms.graphs.src.graph.Graph",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
}
] |
11675547 | #!/usr/bin/env python
# coding: utf-8
# Noise model selection on NANOGrav pulsars
import json, pickle, copy
import logging
from enterprise_extensions.models import model_singlepsr_noise
from enterprise_extensions.hypermodel import HyperModel
from enterprise_extensions.chromatic import chrom_exp_decay
from enterprise_... | null | pta_sim/scripts/ng12p5yr_nm_j1713_final_fl_cWN.py | ng12p5yr_nm_j1713_final_fl_cWN.py | py | 4,083 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pta_sim.parse_sim.arguments",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pta_sim.parse_sim",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "logging.basicConfig",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "log... |
524638994 | import sqlite3, secrets, os
import database as db
import watchlist as wl
import trade as tr
# Global vars
numStocks = 1376
numSuggest = 5
sellChance = 0.5
path = os.getcwd()
path = path[:path.index("react_app")] + 'react_app/'
dbPath = path + 'backend/users.db'
# Generates crytographically secure random number from 1... | null | react_app/backend/advisor.py | advisor.py | py | 3,134 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "secrets.choice",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_... |
407553466 | import sys
import time
import numpy as np
import psycopg2
import requests
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
import vk
conn = psycopg2.connect(database='socialnetwork', user='postgres', password='postgres')
cur = conn.cursor()
leisure = ['Покупки', 'Туризм, путешествия', 'Развлеч... | null | analysis/classifier.py | classifier.py | py | 5,673 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "psycopg2.connect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "vk.request_url",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_n... |
293705070 | from click.testing import CliRunner
from dagit.cli import ui
def test_invoke_ui():
runner = CliRunner()
result = runner.invoke(ui, ['--version'])
assert 'dagit, version' in result.output
def test_invoke_ui_bad_no_watch():
runner = CliRunner()
result = runner.invoke(ui, ['--no-watch'])
asser... | null | python_modules/dagit/dagit_tests/test_cli.py | test_cli.py | py | 445 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "click.testing.CliRunner",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dagit.cli.ui",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "click.testing.CliRunner",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dagit.... |
316044607 | import matplotlib.pyplot as plt
import Adafruit_MCP4725
import RPi.GPIO
import serial
import time
import xlwt
book = xlwt.Workbook() # output as Excel
sheet = book.add_sheet('EMG_Encryption',cell_overwrite_ok=True) # output as Excel
sheet2 = book.add_sheet('EMG_Decryption',cell_overwrite_ok=True) # output as Excel... | null | RaspberryPi_Python/2_Slave_uart_輸出excel.py | 2_Slave_uart_輸出excel.py | py | 3,393 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "xlwt.Workbook",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Adafruit_MCP4725.MCP4725",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "serial.Serial",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"... |
604245103 | # Copyright (c) 2019-2020, NVIDIA CORPORATION.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | null | python/cugraph/tests/utils.py | utils.py | py | 6,411 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "cudf.read_csv",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "cudf.read_csv",
"li... |
315569220 | from logging import getLogger
from collections import OrderedDict
from concurrent.futures import ProcessPoolExecutor
from datahandler import create_data_loader
import os
import torch
import sympy as sp
from utils import to_cuda, timeout, TimeoutError
logger = getLogger()
BUCKET_LENGTH_SIZE = 5
def idx_to_sp(env, id... | null | evaluator.py | evaluator.py | py | 6,637 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sympy.S",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "utils.timeout",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.TimeoutError",
"lin... |
459838590 | # See LICENSE for licensing information.
#
#Copyright (c) 2016-2019 Regents of the University of California and The Board
#of Regents for the Oklahoma Agricultural and Mechanical College
#(acting for and on behalf of Oklahoma State University)
#All rights reserved.
#
import sys
from tech import drc, parameter
import de... | null | compiler/modules/bank.py | bank.py | py | 57,153 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "design.design",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "design.design.__init__",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "design.design",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "debug.in... |
55035676 | # -*- encoding:utf-8 -*-
from zen import crypto
import io
import os
import sys
import json
import shlex
import getpass
import requests
import datetime
import subprocess
__PY3__ = True if sys.version_info[0] >= 3 else False
ROOT = os.path.abspath(os.path.dirname(__file__))
NAME = os.path.splitext(os.path.basename(__f... | null | zen/cmn.py | cmn.py | py | 6,222 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version_info",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
... |
540415290 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import urllib
import json
from time import sleep
from datetime import datetime, timedelta
import vk_auth
import sys
sys.path.insert(0,'..')
from cfg import app_id, vk_login, vk_pass, access_token
def get_json(url):
getjson = urllib.request.urlopen(url).read().decode... | null | part2/scripts/members_graphs.py | members_graphs.py | py | 5,618 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.request",... |
646771619 | from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
## 这是由于Django默认启动了防止CSRF（Cross-site request forgery：跨站请求伪造，是一种对网站的恶意利用）攻击的安全设置。通过装饰器（decorator）关闭这个设置。
text = """<form method="post" action="/add/">
<input type="text" name="a" value="%d"> + <input type="text" name="b" value=... | null | newtest/newtest/add.py | add.py | py | 1,013 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.csrf.csrf_exempt",
"line_number": 10,
"usage_type": "name"
}
] |
439720560 | import os
import re
import django
import pandas as pd
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'listings.settings')
django.setup()
from api.models import Home, Address, ZillowData
dir = os.path.abspath(os.getcwd())
path = os.path.join(dir.rsplit('/', 4)[0], 'sample-data/data.csv')
df = pd.read_csv(path)
las... | null | listings/api/management/commands/import_house_data.py | import_house_data.py | py | 2,664 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.setdefault",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
... |
474241969 | '''
!/usr/bin/env python
_*_coding: utf-8 _*_
@Time : 2019/12/27 11:18
@Author : Zhangyunjia
@FileName: 4.3.2 实现基于unigram的负采样.py
@Software: PyCharm
# @Github: https://github.com/Tang4109
'''
import bz2
import collections
import csv
import math
import pickle
import random
from urllib.request import urlretrieve
impor... | null | 4.3.3 降采样.py | 4.3.3 降采样.py | py | 12,790 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.compat.v1.disable_eager_execution",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pickle.load",
"line_number": 31,
"usage_type": "call"
},
{
"api... |
48229906 | # 얼굴 정해진 비율대로 자르는 코드
# 눈 : 세로 - 얼굴 3등분 했을 때 0.5~1.7번째 -> 2등분 했을 때 첫번째
# 코 : 세로 - 얼굴 3등분 했을 때 두번째 , 가로 - 5등분 했을 때 2~4번째
# 입 : 세로 - 얼굴 3등분 했을 때 1.5~3.5번째 -> 2등분 했을 때 첫번째 , 가로 - 5등분 했을 때 1.5~4.5번째
# 이미지 불러오기
# 사진 크기 확인하기
# 비율대로 자르기
# 저장하기
import cv2
import glob
import numpy as np
#작업할 이미지 경로
img_dir = "C... | null | face_ratio_cut.py | face_ratio_cut.py | py | 1,982 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "cv2.imwrite",
"line_number": 51,... |
338130957 | #!/usr/bin/env python
# This script picks a random album from the MPD playlist.
# Copyright (C) 2009 Kyle MacLeod kyle.macleod is at gmail
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software... | null | mpd-random-playlist-album.py | mpd-random-playlist-album.py | py | 19,063 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.getenv",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 112,
"usage_type": "attribute"
},
{
"api_name": "tempfile.gettempdir",
"lin... |
151834499 | # -*- coding:utf-8 -*-
# @Author:zxy
''''
这里的封装用是requests中自带的类方法seesion
seesion中有个request方法
request(self, method, url,
params=None, data=None, headers=None, cookies=None, files=None,
auth=None, timeout=None, allow_redirects=True, proxies=None,
hooks=None, stream=None, verify=None, ... | null | APITest/scripts/MyRequest.py | MyRequest.py | py | 5,397 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.Session",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 58,
"usage_type": "call"
}
] |
22903229 | from .forms import NewAccountForm, ContactForm
from django.template.loader import get_template
from django.template import Context
from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.core.mail import EmailMessage, BadHeaderError
def home(request):
return render(request, '... | null | portal/views.py | views.py | py | 2,067 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "forms.NewAccountForm",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "forms.NewAccountForm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "djan... |
340540544 | # https://github.com/Shivanshu-Gupta/Pytorch-Double-DQN/blob/1cff44d95d7881c6afc029b734508b1a705dfe14/agent.py#L92
from collections import namedtuple, deque
import random
import time
import numpy as np
import torch
import pandas as pd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
imp... | null | Lunar_lander_Double.py | Lunar_lander_Double.py | py | 12,462 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cu... |
484053564 | from __future__ import absolute_import
from . import load_fixture, fixer_ini, create_pull_files
from lintreview.config import build_review_config
from lintreview.diff import DiffCollection
from lintreview.processor import Processor
from lintreview.repo import GithubPullRequest
from lintreview.fixers.error import Config... | null | tests/test_processor.py | test_processor.py | py | 6,006 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "github3.pulls.PullRequest",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "lintreview.repo.GithubPullRequest",
"line_number": 31,
"usage_type": "call"
},
{
"api_name":... |
100012878 | import PyPDF2
from tqdm import tqdm
# Convert PDF to Text
def pdf_to_text(path):
file_name = path.split("/")
book_name = ' '.join(file_name[-1].split('.')[0].split('-')).title()
print('\n\nReading "' + book_name + '"')
pdfFileObj = open(path, 'rb')
pdfReader = PyPDF2.PdfFileReader(pdfFileObj)
... | null | src/utility.py | utility.py | py | 547 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyPDF2.PdfFileReader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 21,
"usage_type": "call"
}
] |
521970164 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os,os.path,re,platform,logging,logging.handlers
import psutil,urllib,json,time
class show_ip():
def __init__(self):
py_path=os.path.realpath(__file__)
log_path=os.path.join(os.path.split(py_path)[0],"log")
if not os.path.exists(log_pat... | null | network/show_ip.py | show_ip.py | py | 4,098 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
439427354 | import torch
from model import AlexNet
from PIL import Image
from torchvision import transforms
import matplotlib.pyplot as plt
import json
import os
data_transform = transforms.Compose(
[transforms.Resize((224, 224)),
transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
# rea... | null | pytorch_learning/Test2_alexnet/predict.py | predict.py | py | 1,313 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 10,
"usage_type": "call"
},
{
... |
404453004 | import pdb
from numpy import *
class Map:
"""Read in base-map of reef cell locations, and subregion ids."""
def __init__(self):
self.init_errors = 0
self.error_text = []
def reefmap(self,pathname,forc_hurr,forc_cm,hmax_sr,cmmax_sr):
"""Read in map defining location of r... | null | scenario3_300y/test.py | test.py | py | 5,679 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pdb.set_trace",
"line_number": 50,
"usage_type": "call"
}
] |
552522423 | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
#
# Copyright 2013 NTT MCL Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# no... | null | easystack_dashboard/dashboards/project/network_topology/views.py | views.py | py | 13,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "django.views.generic.View",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "django.core.urlresolvers.reverse",
"line_number": 44,
"usage_type": "call"
... |
530249959 | from time import time
from datetime import datetime
from helpers.filters import command
from helpers.decorators import sudo_users_only
from pyrogram import Client, filters
from pyrogram.types import Message, InlineKeyboardButton, InlineKeyboardMarkup, Chat, CallbackQuery
from config import BOT_USERNAME
START_TIME = d... | null | bot/start.py | start.py | py | 4,648 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pyrogram.types.Message",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pyr... |
214550413 | from __future__ import absolute_import
import argparse
import logging
import re
import urllib
import json
import pandas as pd
from pandas.tseries.offsets import BDay
import pandas_datareader.data as dr
from datetime import datetime, date
import apache_beam as beam
from .mail_utils import send_mail
from apache_beam.io ... | null | dataflow/shareloader/modules/monthly_superperformers.py | monthly_superperformers.py | py | 3,522 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "apache_beam.options.pipeline_options.PipelineOptions",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "superperf_metrics.get_fmprep_metrics",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 37,
"usage_ty... |
641565847 | from __future__ import division
import numpy as np
from sklearn import utils
class ANN:
def __init__(self, inputs, outputs, hidden_layers, epochs, learning_rate, momentum_rate, learning_accelaration, learning_backup, reg_param, activation_fn, cost_fn):
self.learning_rate = learning_rate
self... | null | part2/ann.py | ann.py | py | 5,684 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.rand",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.uti... |
145006639 | import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from dash_table import DataTable
########### Initiate the app
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_sty... | null | app.py | app.py | py | 2,146 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dash.Dash",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Label",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dash_co... |
2853610 | from pony.orm import db_session
import json
from faker import Faker
fake = Faker()
@db_session()
def fake_users(Users, Posts, amount=10):
for _ in range(amount):
Users(
first_name=fake.first_name(),
second_name=fake.last_name(),
age=fake.random_int(18, 99),
... | null | entities/faking_users.py | faking_users.py | py | 1,025 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "faker.Faker",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pony.orm.db_session",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pony.orm.db_session",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pony.orm.db_session... |
206190705 | import json
from country_codes import get_country_code
# Load the data into a list.
filename = 'population_data.json'
with open(filename) as f:
pop_data = json.load(f)
# print the 2010 population
for pop_dict in pop_data:
if pop_dict['Year'] == '2010':
country_name = pop_dict['Country Name']
... | null | Python_Book/part2_data/world_population.2.py | world_population.2.py | py | 594 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "country_codes.get_country_code",
"line_number": 15,
"usage_type": "call"
}
] |
339739324 | """Summary.
#CADL
Copyright Parag K. Mital 2016
"""
import numpy as np
from scipy.signal import hann
def ztoc(re, im):
return np.sqrt(re**2 + im**2), np.angle(re + im * 1j)
def ctoz(mag, phs):
return mag * np.cos(phs), mag * np.sin(phs)
def dft_np(signal, hop_size=256, fft_size=512):
n_hops = len(sig... | null | session-4/libs/dft.py | dft.py | py | 1,429 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.angle",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 15,
... |
76453817 | """Created by: David Pigliavento"""
# Copyright 2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file
# except in compliance with the License. A copy of the License is located at
#
# http://aws.amazon.com/apache2.... | null | GuardDuty/Defender/cfn/src/defender.py | defender.py | py | 2,295 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.exit",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "ec2.get_instance_vpc",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sg.get_lockdown_security_group",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "ec2.lock... |
571075677 | import numpy as np
from vispy import app, scene, visuals, gloo
from vispy.color import Color
from vispy.visuals.transforms import STTransform
white = Color("#ecf0f1")
gray = Color("#121212")
red = Color("#e74c3c")
blue = Color("#2980b9")
orange = Color("#e88834")
def star(inner=0.5, outer=1.0, n=5):
R = np.array... | null | examples/demo/scene/probe_view.py | probe_view.py | py | 2,934 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "vispy.color.Color",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "vispy.color.Color",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "vispy.color.Color",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "vispy.color.Color"... |
618422066 | import urllib.request
from bs4 import BeautifulSoup
crimes_committed = dict()
search_city = "Birmingham"
search_state = "Alabama"
url = "http://www.city-data.com/crime/crime-" + search_city + "-" + search_state + ".html"
page = urllib.request.urlopen(url)
soup = BeautifulSoup(page, "html.parser")
table = soup.find(id... | null | crime_webscrape.py | crime_webscrape.py | py | 854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name":... |
106901850 | import numpy as np
import imageio
from scipy import stats
import torch
import torch.utils.data as data
from torch.utils.data import Dataset, DataLoader
from torch.autograd import Variable
import os
import cv2
import pickle as pickle
def script_to_fix_frame0():
folders = listFolders('/data/stationary_motion/pixel2x... | null | utils/movie_readin.py | movie_readin.py | py | 13,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": ... |
480891259 | import numpy as np
import pandas as pd
import scipy as sc
import sympy as sy
import math as myth
import itertools
import statsmodels.api as stats
# FOR QUESTION 1
# A function that returns the columnwise product of two dataframes (must have same number of rows)
def create_interaction (inDF1, inDF2):
name1 = inDF1... | null | assignment_4/assignment_4_rahul_nair.py | assignment_4_rahul_nair.py | py | 11,844 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sympy.Matrix",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "statsmodels.api.MNLogit",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "statsmodels.api... |
353426592 | import cv2
import os
import json
import numpy as np
font1 = {'family': 'Times New Roman',
'weight': 'normal',
'size': 13,
}
font2 = {'family': 'Times New Roman',
'weight': 'normal',
'size': 17,
}
# computing average value
def getss(list):
avg=s... | null | SGF/SGF.py | SGF.py | py | 1,862 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.resize",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cv2.INTER_CUBIC",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
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