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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
375477 | # from src import architectures,ramps
# import torch.backends.cudnn as cudnn
import csv
import os
import random
import time
import warnings
from datetime import datetime
from timeit import default_timer as timer
import numpy as np
import pandas as pd
import torch
import torchvision
import torchvision.models as models
... | null | make_aid_plabel.py | make_aid_plabel.py | py | 5,973 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.seed",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "config.AID.config_AID.DefaultConfigs.seed",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "config.AID.config_AID.DefaultConfigs",
"line_number": 30,
"usage_type": "name"... |
8567108 | import numpy as np
import matplotlib.pyplot as plt
ax = plt.subplot(111)
t = np.arange(0., 1., 0.02)
s = np.cos(2*np.pi*t) + np.random.rand(t.shape[0])
line, = plt.plot(t, s, lw=2)
#plt.annotate('Divided line', xy=(0.8, 1), xytext=(0.6, 1.5),
# arrowprops=dict(facecolor='black', shrink=0.05),
# ... | null | test/plot.py | plot.py | py | 364 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
... |
94458976 | from flask import Flask, render_template, request, redirect
from mysqlconnection import connectToMySQL
app = Flask(__name__)
@app.route("/")
def index():
mysql = connectToMySQL('mydb') # call the function, passing in the name of our db
friends = mysql.query_db('SELECT * FROM friends;') # call the query_db funct... | null | 20_Flask_plus_MySQL-Quiz/flask_mysql/first_flask_mysql/server.py | server.py | py | 1,029 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "mysqlconnection.connectToMySQL",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.r... |
450001565 | import brian2.numpy_ as np
import brian2 as bb
from brian2 import ms, second, Hz, mV, pA, nS, pF
from collections import defaultdict
eqs_exc = '''dv/dt = (g_l*(v_r-v)+Ie+Ii+I)/(C_m) : volt
dge/dt = -ge/(tau_exc) : siemens
dgi/dt = -gi/(tau_inh) : siemens
Ie = ge*(v_e-v) : amp
... | null | scripts/run_simulation_simple.py | run_simulation_simple.py | py | 2,850 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "brian2.nS",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "brian2.nS",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "brian2.nS",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "brian2.pF",
"line_number": 22,
... |
489782909 | from PyQt5 import QtCore, QtGui
from PyQt5.QtWidgets import QGridLayout, QHBoxLayout, QFormLayout
import pyqtgraph as pg
import random
import numpy as np
import time
import serial
import serial.tools.list_ports
import json
import time
from MedicalArduino import MedicalArduino
# The following lines of code were provi... | null | MainWindow.py | MainWindow.py | py | 9,724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "inspect.stack",... |
129809204 | from kbhitmod import KBHit
import socket
import sys
import select
from time import sleep, time
from card import GameCard
from displayer import displayer
from threading import Thread
from queue import Queue
import argparse
# kbhit imports
import os
from time import sleep
# Windows
if os.name == 'nt':
import msvcrt
... | null | uptodate/player.py | player.py | py | 6,126 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.name",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "kbhitmod.KBHit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_... |
65355873 | from django.urls import path
from .views import all_products, product_detail, add_product, edit_product, delete_product, like_product
urlpatterns = [
path('', all_products, name='products'),
path('<int:product_id>/', product_detail, name='product_detail'),
path('add/', add_product, name='add_product'),
... | null | products/urls.py | urls.py | py | 522 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.all_products",
"line_number": 6,
"usage_type": "argument"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.product_d... |
483888505 | """
Models for loan_app application.
"""
import secrets
import string
import decimal
from django.utils import timezone
from django.db import models
from django.db import IntegrityError
from django.core.exceptions import ValidationError
from clients.models import Client
class Base(models.Model):
"""
Abstract ... | null | loan_app/models.py | models.py | py | 9,103 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.Model",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.db.models.BooleanField",
"line_number": 20,
"usage_type": "call"
},
{
"api_na... |
103581896 | """
* DMV EXPRESS APPOINTMENT
* __author__ = "Mohammed El Amine Idmoussi"
* Captcha solver using AI, Buster chrome/firefox extension
"""
import time
from GEOparse import logger
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import e... | null | captcha_solver.py | captcha_solver.py | py | 1,368 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "selenium.webdriver.support.ui.WebDriverWait",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.support.expected_conditions.visibility_of_element_located",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.suppo... |
213678540 | import matplotlib.pyplot as pyplot
year=[2010,2011,2012,2013,2014,2015,2016]
rice=[10,30,50,30,40,42,5]
pyplot.xlabel("Years")
pyplot.ylabel("Rice Production")
pyplot.title("Rice Production by Year")
pyplot.plot(year,rice)
pyplot.show()
| null | 1/1.py | 1.py | py | 239 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.ylabel",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matp... |
437759480 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 4 04:47:15 2020
@author: Dotmons
"""
import pandas as pd
from matplotlib import pyplot as plt
import sklearn.datasets
def get_iris_df():
ds = sklearn.datasets.load_iris()
df = pd.DataFrame(ds['data'], columns = ds['feature_names'])
code_species_map = di... | null | DataScience/Chapter 5/Chart.py | Chart.py | py | 2,392 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.datasets.datasets.load_iris",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.datasets",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets",
"line_number": 13,
"usage_type": "name"
},
{
... |
6901777 | import pytest
from awx.main.access import (
RoleAccess,
UserAccess,
TeamAccess)
@pytest.mark.django_db
def test_team_access_attach(rando, team, inventory):
# rando is admin of the team
team.admin_role.members.add(rando)
inventory.read_role.members.add(rando)
# team has read_role for the i... | null | awx/main/tests/functional/test_rbac_role.py | test_rbac_role.py | py | 1,055 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "awx.main.access.TeamAccess",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "awx.main.access.UserAccess",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
526273095 | # QLineEdit single line of text
# possible operations: undo redo cut paste drag&drop
import sys
from PyQt5.QtWidgets import QWidget, QLabel, QLineEdit, QApplication
class myWidget(QWidget):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
... | null | PyQt5/ch7 - widgets 2/QLineEdit.py | QLineEdit.py | py | 883 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLineEdit",
"line_number": 15,
"usage_type": "call"
},
{
"api_name"... |
336157250 | # Copyright 2017 The Sunset Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | null | sunset/sunset/python/modules/util.py | util.py | py | 29,233 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.VariableScope",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "six.string_types",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.GraphKeys",
"line_number": 57,
"usage_type": "attribute"
},
{
"api... |
364844246 | import torchvision.transforms as T
from .RandomErasing import RandomErasing
def transforms(cfg, is_train=True):
if is_train:
transform_list = [T.Resize(cfg.INPUT.SIZE_TRAIN),
T.RandomHorizontalFlip(p=cfg.INPUT.HF_PROB),
T.Pad(cfg.INPUT.PADDING),
... | null | data_loader/transforms/transforms.py | transforms.py | py | 1,083 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.transforms.Resize",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.RandomHorizontalFlip",
"line_number": 8,
"usage_type": "call"
... |
643130553 | import sys
from collections import namedtuple
from lxml.etree import ElementTree
from lxml.etree import ParseError
Contact = namedtuple('Contact', 'first last age email')
try:
tree = ElementTree().parse('results.xml')
except ParseError as err:
print('Parsing failed: {err}'.format(err=err))
sys.exit(42)
... | null | Optum Tech/student_files/ch08_xml/04_lxml_parsing.py | 04_lxml_parsing.py | py | 724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.namedtuple",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "lxml.etree.ElementTree",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lxml.etree.ParseError",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sy... |
188824985 | from requests import get
class MeetUpData:
def __init__(self):
f = open(r"C:\Users\wen kai\Downloads\y4s2\event-advisor\website\DataCollection\token.txt","r")
credentials = f.read()
f.close()
txt_arr = credentials.split("\n")
self._token = txt_arr[1]
self._url =... | null | website/DataCollection/meetupData.py | meetupData.py | py | 1,831 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
}
] |
324685390 | import sys
sys.path.append(r'/home/sebastian/Dropbox/Facultate/BacStats/BAC_2019_statistics')
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from classes.student import *
def box_for_spec(grades, labels):
'''
Plotting boxplots for 3 specialisations
'''
g... | null | create_stats/boxplots.py | boxplots.py | py | 1,182 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
... |
562973208 | #from lxml import etree
import json
import requests
import sys
import nltk
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
import string
from gensim.models import TfidfModel
from gensim import corpora
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
from collecti... | null | Final_version/cloud.py | cloud.py | py | 5,243 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
... |
635837645 | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors.
#
# 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 ... | null | create_pretraining_data.py | create_pretraining_data.py | py | 8,068 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.flags",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tokenization.printable_text",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "tokenization.printable_text",
"line_number": 76,
"usage_type": "call"
},
{
"api... |
552470981 | import requests
import yaml
import re
class Citation:
def __init__(self, url, instantiate_empty=False):
self.url = url
self.baseurl = None
self.file_url = None
self.file_contents = None
self.as_yaml = None
if not instantiate_empty:
self._get_baseurl()
... | null | citationcff/citation.py | citation.py | py | 6,268 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "re.match",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
236574519 | import matplotlib.pyplot as plt
import numpy as np
import healpy as hp
import operator
# Read info of 79 sources #
#
# params string fname Filename
#
# return void
#
# Author Van Hiep
##
def read_info(fname = '79src_info.txt'):
ret = {}
ret['src'] = []
ret['yn'] = []
ret['l'] = []
ret['... | null | gas_col_density/all_sky_map.py | all_sky_map.py | py | 5,175 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.pi",
"line_number": 80,
"usage_type": "attribute"
},
{
"api_name": "healpy.read_map",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "healpy.read_map",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "healpy.read_map",
"... |
456447599 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, TimeSeriesSplit
from sklearn.preprocessing import StandardScaler
import pandas as pd
from sklearn.metrics import mean_absolute_error, mean_squared_error
import matplotlib.ticker as plticker
import keras
import datet... | null | Load_Prediction/Random_Forest/Direct_Multi_Step_Prediction/Compute_Stddevs/Prediction_w_Uncertainty.py | Prediction_w_Uncertainty.py | py | 12,324 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
182250390 | import eosWrap as eos
import numpy as np
import matplotlib.pyplot as plt
from Wrapper import Wrapper, FromEos
from scipy import integrate
from pylab import pi, sqrt
from scipy.interpolate import interp1d
from scipy.misc.common import derivative
C = eos.KVOR()
IC = eos.InterpolatedScalings()
wr = Wrapper(C)
iwr = Wrapp... | null | Reconstruct/ImproveKVOR.py | ImproveKVOR.py | py | 1,873 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "eosWrap.KVOR",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "eosWrap.InterpolatedScalings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "Wrapper.Wrapper",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "Wrapper.Wrap... |
81432052 | import logging
import threading
import time
from persistence import pop_from_queue
class ProcessingWorker(object):
current_workflow = None
current_step = None
_exit_event = threading.Event()
_worker_thread = None
def __init__(self):
self.logger = logging.getLogger('spreadsplug.web.worke... | null | spreadsplug/web/worker.py | worker.py | py | 1,222 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "threading.Event",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "persistence.pop_fr... |
374146154 | '''
Created on Apr 19, 2016
@author: pitzer
'''
import json
import locale
import logging
import luigi
import os
from realdeal.email_message import EmailClient
from realdeal.luigi.base_task import RealDealBaseTask
PROPERTY_TABLE_FIELDS = [
'address',
'city',
'year_built',
'bedrooms',
'bathrooms',
'buildin... | null | realdeal/luigi/email_deals.py | email_deals.py | py | 4,144 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "locale.setlocale",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "locale.LC_ALL",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "realdeal.luigi.base_task.RealDealBaseTask",
"line_number": 43,
"usage_type": "name"
},
{
"api... |
583831922 | from flask import Flask, jsonify, Blueprint, send_from_directory
from flask_jwt_extended import JWTManager
from api.api import api_bp
from database.database import *
from api.api import init_swagger
app = Flask(__name__)
app.register_blueprint(api_bp)
#app.config["JWT_SECRET_KEY"] = "I4gc/Yv3P27d/m7Qczbe+JadO+G6cu9D... | null | backend/app/app.py | app.py | py | 666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "api.api.api_bp",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask_jwt_extended.JWTManager",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "api.api.i... |
100760889 | import csv
import requests
from lxml import html
from geo.models import Location
WIKI_DOMAIN = 'https://pl.wikipedia.org'
START_URL = '/wiki/Kategoria:Pomniki_historii'
class NoLocationsCrawled(Exception):
pass
def crawl_locations():
locations = [l for l in crawl_locations_page(START_URL)]
return locat... | null | geo/crawling.py | crawling.py | py | 2,238 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_... |
487443341 | import os
import tempfile
from testify import teardown, setup, TestCase, run, assert_equal
from tests.assertions import assert_call
from tests.testingutils import Turtle
from tron.api.controller import JobController, ConfigController
class JobControllerTestCase(TestCase):
@setup
def setup_controller(self):
... | null | tests/api/controller_test.py | controller_test.py | py | 1,843 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "testify.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tests.testingutils.Turtle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tests.testingutils.Turtle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "t... |
491180831 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from sklearn.metric... | null | data/data_analysis/others/KNN.py | KNN.py | py | 2,546 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.metrics.accuracy_score",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 56,
"usage_type": "call"
},
{
... |
98568326 | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 27 20:02:01 2017
@author: Michael
"""
import cv2
import os, glob
OUTPUTBASE = 'E:/300VW_Dataset_2015_12_14/028/'
outputfolder = OUTPUTBASE +"/landmarks/"
keyframes = ""
if (not os.path.isdir(OUTPUTBASE)):
print(OUTPUTBASE + " is not a valid directory!")
qui... | null | create_frames_from_300vw.py | create_frames_from_300vw.py | py | 888 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"lin... |
80592589 | # -*- coding: utf-8 -*-
"""
Created on Sun May 9 10:39:50 2021
@author: Matthieu
"""
#%% IMPORT
import pandas as pd
import numpy as np
import pywt
import matplotlib.pyplot as plt
from scipy import signal
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
from sklearn import svm
from behavelet im... | null | matthieu/old/PCA_Wavel_tsne.py | PCA_Wavel_tsne.py | py | 2,094 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_pickle",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
35051021 | import logging
import json
import re
import math
import sys
import getopt
from urllib.parse import urljoin
import requests
from bs4 import BeautifulSoup
from bs4 import SoupStrainer
#
#'https://monsterhunter.fandom.com/wiki/MHF2_and_MHFU:_Light_Bowgun_List'
#'https://monsterhunter.fandom.com/wiki/wiki/MHF2_and_MHFU:_H... | null | scraper.py | scraper.py | py | 17,051 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.basicConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup"... |
349534433 | # import modules os and csv
import csv
from pathlib import Path
input_file = Path('Resources','employee_data.csv')
new_date=[]
First_Name=[]
Last_Name=[]
new_ssn=[]
Emp_Id=[]
us_state_abbrev = {
'Alabama': 'AL',
'Alaska': 'AK',
'Arizona': 'AZ',
'Arkansas': 'AR',
'California': 'CA',
'Colorado': ... | null | PyBoss/main.py | main.py | py | 3,186 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 96,
"usage_type": "call"
}
] |
503900659 | # -*- coding: utf-8 -*-
"""
Created on Tue Oct 6 08:12:54 2020
@author: acer
"""
from pandas import DataFrame
from pandas import Series
from pandas import concat
import pandas as pd
import statistics
from pandas import read_csv
from pandas import datetime
import sklearn.metrics
from sklearn.metrics impo... | null | tcc_joao/lstm.py | lstm.py | py | 11,951 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Mi... |
158581722 | import logging
from seplis.api.decorators import new_session, auto_session, auto_pipe
from seplis.api.connections import database
from seplis.api.base.pagination import Pagination
from seplis.api.base.description import Description
from seplis.api.base.show import Show
from seplis.api import exceptions, constants, mode... | null | src/seplis/api/base/episode.py | episode.py | py | 14,414 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seplis.api.models.Episode",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "seplis.api.models",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "seplis.api.decorators.auto_session",
"line_number": 38,
"usage_type": "name"
},
{
"ap... |
121607689 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import subprocess
import re
import os
import six
import numpy as np
import pandas as pd
from .region import parse_region
from ._process import tsv
def atoi(s):
return int(s.replace(',', ''))
def natsort_key(s, _NS_REGEX=r... | null | bioframe/frameops.py | frameops.py | py | 11,954 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.U",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.asarray",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 2... |
146896639 | import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import confusion_matrix, recall_score, precision_score, f1_score, roc_auc_score, accuracy_score
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
# df =... | null | pdfs/Projects/NOC/NN_Data/Linear_Regression/linear_regression.py | linear_regression.py | py | 2,217 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 29,
"usage_type": "call"
... |
135585249 | import time
import numpy as np
import math
import pybullet as p
import pybullet_data as pd
useNullSpace = 1
ikSolver = 0
pandaEndEffectorIndex = 7#11 #8
pandaNumDofs = 7
ll = [-7]*pandaNumDofs
#upper limits for null space (todo: set them to proper range)
ul = [7]*pandaNumDofs
#joint ranges for null space (todo: set ... | null | camera_sim/franka/.ipynb_checkpoints/franka_env-checkpoint.py | franka_env-checkpoint.py | py | 6,509 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pybullet.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pybullet.GUI",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pybullet.connect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pybullet.DIRECT",... |
630637426 | import logging
import os
from pprint import pprint
import requests
from django.conf import settings
from django.contrib.sites.models import Site
from django.core.management.base import BaseCommand
from django.urls import reverse
from rest_framework.authtoken.models import Token
from todo.core.models import Task
logge... | null | todo/core/management/commands/sync-jira.py | sync-jira.py | py | 3,349 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.SITE_ID",
"line_number": 20,
"usage_type": "attribute"
}... |
2041884 | #!/usr/bin/env python3
''' SVG loading tool. Requires svgpathtools
To install possibly use:
pip install git+https://github.com/mathandy/svgpathtools.git
Since the pip version does not support rectangles (at this time at least).
'''
# Naive SVG loader
from importlib import reload
import svgpathtools as svg
import numpy... | null | py/polygonsoup/svg.py | svg.py | py | 7,184 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.arccos",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 34... |
282526876 | import matplotlib.pyplot as plt
# We start by defining some useful variables
Wfirst = []
Wsecond = []
Winteresting = []
Wlast = []
fulllist = []
tau = []
temp = []
heattemp = []
magnetization = []
heatcapacity = []
energy = []
# Here we define a function that loads in files to a list
def loadfile(filename, data):
... | null | Plots/Ex3-4/Plots.py | Plots.py | py | 6,937 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "mat... |
398450028 | from pathlib import PurePosixPath
from typing import List
class PathsPreparer:
def prepare(self, databricksRelativePaths: List[PurePosixPath], rootIgnoredPathName: str):
def createNotebookPath(databricksRelativePath: PurePosixPath) -> tuple:
return (rootIgnoredPathName, ) + databricksRelativeP... | null | src/dbxdeploy/dbc/PathsPreparer.py | PathsPreparer.py | py | 718 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pathlib.PurePosixPath",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "pathlib.PurePosixPath",
"line_number": 7,
"usage_type": "name"
}
] |
181614204 | #!/usr/bin/env python
"""
Unit tests for Transformer()
===========================
"""
import pytest
import numpy as np
from implicitmf.transform import Transformer
from _mock_data import create_user_item_dict
def test_transformer_input_dict_error():
"""
Check that Transformer raises a TypeError
if dict... | null | tests/test_transform.py | test_transform.py | py | 1,347 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.raises",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "implicitmf.transform.Transformer",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "_mock_data.create_user_item_dict",
"line_number": 28,
"usage_type": "call"
},
{
"a... |
150085177 | import torch
import torch.nn.functional as F
def spatial_argmax(logit):
"""
Compute the soft-argmax of a heatmap
:param logit: A tensor of size BS x H x W
:return: A tensor of size BS x 2 the soft-argmax in normalized coordinates (-1 .. 1)
"""
weights = F.softmax(logit.view(logit.size(0), -1),... | null | homework5/homework/planner.py | planner.py | py | 3,429 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.functional.softmax",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.functional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.stack",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.lin... |
643469168 | from flask_wtf import Form
from wtforms import SelectField, SubmitField, StringField, TextAreaField
from wtforms.fields.html5 import EmailField
from wtforms.validators import InputRequired, Email
from app.models import Tag, Post, User
class ChoosePost(Form):
choice_id = SelectField(
'posts',
choi... | null | app/forms/portal/__init__.py | __init__.py | py | 2,448 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_wtf.Form",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wtforms.SelectField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.models.Post.query.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.model... |
473798831 | # @Author: Lorenzo Corneo
# @Date: 2016-10-06T09:45:39+02:00
# @Email: lorenzo.corneo@gmail.com
# @Last modified by: lorenzocorneo
# @Last modified time: 2016-10-28T15:37:48+02:00
#!/usr/bin/python
import logging
import cluster as cluster_conf
SAMPLE_PERIOD_SEC = 10
db_credentials = {
'host': '127.0.0.1',... | null | Phase_2/path_classifier/config.py | config.py | py | 3,446 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cluster.cluster.iteritems",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "cluster.cluster",
"line_number": 78,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 84,
"usage_type": "attribute"
},
{
"api_name": "log... |
625579722 | import pexpect as px
def e2e(name, order, timeout=5):
child = px.spawn('./python3 '+name)
#child.delaybeforesend = 0
output=''
# if order is not empty,
if order['expect']:
child.expect(order['expect'])
if order['send']:
child.sendline(order['send'])
retcode = child.ex... | null | 201_positive_zero_negative/test.py | test.py | py | 684 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pexpect.spawn",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pexpect.TIMEOUT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "pexpect.EOF",
"line_number": 11,
"usage_type": "attribute"
}
] |
583793990 | from __future__ import division
import gensim
import numpy as np
import random
import math
import unicodedata
import itertools
from utils import grouper
np.random.seed(1234)
random.seed(1234)
def strip_accents(s):
return ''.join(c for c in unicodedata.normalize('NFD', unicode(s, 'utf-8'))
if ... | null | data_structure.py | data_structure.py | py | 9,320 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "unicodedata.normalize... |
131453022 | #!/usr/bin/env python3
import opensoundscape as opso
from opensoundscape.audio import Audio
from opensoundscape.spectrogram import Spectrogram
from opensoundscape import ribbit
import pytest
import numpy as np
import pandas as pd
@pytest.fixture()
def gpt_path():
return "tests/great_plains_toad.wav"
def test_ca... | null | tests/test_ribbit.py | test_ribbit.py | py | 2,663 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.fixture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number":... |
598863819 | from scoreboard import Scoreboard
from ball import Ball
from turtle import Screen
from paddle import Paddle
import time
screen = Screen()
screen.bgcolor('black')
screen.setup(800,600)
screen.title("Pong")
screen.tracer(0)
paddle_1 = Paddle((350,0))
paddle_2 = Paddle((-350,0))
ball = Ball()
scoreboard = Scoreboard()
... | null | main.py | main.py | py | 998 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "turtle.Screen",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "paddle.Paddle",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ball.Ball",
"line_number... |
458316696 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.view_index, name='view_index'),
url(r'^contact', views.view_contact, name = 'view_contact'),
url(r'^(?P<section_name>[a-zA-Z]+)/$', views.view_section, name='view_b'),
url(r'^(?P<section_name>[a-zA-Z]+)/(?P<thread_id_... | null | project/imageboard_app/urls.py | urls.py | py | 390 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.co... |
566478566 | from sqlalchemy import create_engine
from Spy.Spy import app
class MysqlEngine(object):
def __init__(self, dbconfig):
self.dbconfig = dbconfig
self.conns = {}
pass
def init_db(self):
for key, url in self.dbconfig.items():
engine = create_engine(url, pool_recycle=3... | null | Spy/Db/mysql.py | mysql.py | py | 749 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Spy.Spy.app.config",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "Spy.Spy.app",
"line_number": 14,
"usage_type": "name"
}
] |
595577997 | # -*- coding: utf-8 -*-
# @Time : 2018/11/22 15:50
# @Author : panxiaotong
# @Description : MIPSG-I/MIPSG-II model, text classification
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '1'
import sys
sys.path.append("..")
import tensorflow as tf
from tensorflow.contrib import rnn
from config.config import cf... | null | src/eval/text_classification.py | text_classification.py | py | 13,077 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.config.cfg.dict_tim... |
271471184 | import random
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
def plot(ginis,restaurants):
# The y values. Cumulative percentage of incomes
j = 0
for restaurant in restaurants:
y, y_pe = [], []
i = 0
restaurant = sorted(restaurant)
fo... | null | working/assignment10/Assignment10_itws/papa_assignment10_2.py | papa_assignment10_2.py | py | 2,840 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "matplotlib.p... |
129218615 | from matplotlib import pyplot as plt
from sklearn.model_selection import GridSearchCV, cross_val_score
from sklearn.neighbors import KNeighborsClassifier
def make_cross_validation(X_train, Y_train, clf, parameters, model_name):
######################################################################################... | null | Cross_Validation.py | Cross_Validation.py | py | 1,903 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.model_selection.GridSearchCV",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.cross_val_score",
"line_number": 29,
... |
195576465 | from data_treatment import load_data_yf,data_clean,seperate_label,data_seperate,load_data_new,data_transform_new,plot_eda,data_clean,feature_extend
from models import rf_mdoel,gbdt_mdoel,xgb_model,cat_boost_model,lgb_model,get_stacking
from sklearn.metrics import make_scorer
from sklearn.ensemble import RandomForestCl... | null | GM_main_new.py | GM_main_new.py | py | 10,261 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "data_treatment.load_data_new",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "data_treatment.data_clean",
"line_number": 98,
"usage_type": "call"
},
{
"ap... |
440892147 | import io
import os
import time
import sys
import struct
import socket
import numpy as np
import torch as torch
from spiketag.fpga import xike_config
from torch.multiprocessing import Process, Pipe, SimpleQueue
from ..utils.utils import EventEmitter, Timer
from ..realtime import Binner
class bmi_stream(object):
... | null | spiketag/realtime/BMI.py | BMI.py | py | 8,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "struct.unpack",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "spiketag.fpga.xike_config",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "spiketag.fpga.xike_config",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.... |
512985289 | # Make the cube of a multiblock dataset pickable and the sphere
# unpickable, then reset it.
#
# Note how the zero index is the entire multiblock, so we have to add 1
# to our indexing to access the right block.
#
import pyvista as pv
dataset = pv.MultiBlock([pv.Cube(), pv.Sphere(center=(0, 0, 1))])
pl = pv.Plotter()
a... | null | version/0.37/api/plotting/_autosummary/pyvista-CompositeAttributes-5.py | pyvista-CompositeAttributes-5.py | py | 578 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyvista.MultiBlock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyvista.Cube",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyvista.Sphere",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyvista.Plotter",
"li... |
68913919 | import numpy as np
import cv2
# Identify pixels above the threshold
# Threshold of RGB > 160 does a nice job of identifying ground pixels only
def color_thresh(img, rgb_thresh=(160, 160, 160)):
# Create an array of zeros same xy size as img, but single channel
color_select = np.zeros_like(img[:,:,0])
# Req... | null | Project 1 Rover Project/perception.py | perception.py | py | 8,609 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros_like",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.greater_equal... |
12218042 | #coding:utf-8
__author__ = '613108'
import json
import urllib2
#构造小米商品评论get请求，返回json格式数据
for i in range(53):
get_url='http://comment.www.xiaomi.com/comment/vlist/goods_id/2011/pagesize/10/pageindex/'+\
str(i+1)+'/comment_grade/0/orderby/1/cnum/0?callback=commentList'
result=urllib2.urlopen(get_url... | null | Official_store_project/xiaomi_project/test.py | test.py | py | 622 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib2.urlopen",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
}
] |
207157869 | """
LogSumExp reduction
==============================
"""
####################################################################
# Let's compute the (3000,1) tensor :math:`c` whose entries
# :math:`c_i` are given by:
#
# .. math::
# c_i = \log \left[ \sum_j \exp\left( (p-a_j)^2 \exp(x_i+y_j) \right) \right]
#
# where... | null | pykeops/pykeops/examples/pytorch/plot_generic_syntax_pytorch_LSE.py | plot_generic_syntax_pytorch_LSE.py | py | 6,211 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.float32",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "torch.float64",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "torch.rand",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "torch.rand",
"li... |
289015471 | from multiprocessing import Queue
import inspect
import os
class Tools:
def __init__(self):
self.mavlinkThread = None
self.vehicle = None
self.pulseSender= None
self.pulseQueue = Queue()
self.setFreqQueue = Queue()
self.setGainQueue = Queue()
self.logDir = No... | null | Tools.py | Tools.py | py | 446 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "multiprocessing.Queue",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.... |
629904535 | #-*- coding: utf-8 -*-
from trytond.model import ModelView, ModelSQL, fields
class Ausencia(ModelSQL, ModelView):
"Ausencia"
__name__='sigcoop_payroll.ausencia'
periodo = fields.Many2One('sigcoop_periodo.periodo', 'Periodo', required = True)
ausencias_sabados_domingos = fields.Integer('Ausencias en Sa... | null | ausencia.py | ausencia.py | py | 425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "trytond.model.ModelSQL",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "trytond.model.ModelView",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "trytond.model.fields.Many2One",
"line_number": 8,
"usage_type": "call"
},
{
"api_nam... |
604503698 | from sanic import Sanic
from sanic.response import text
app = Sanic(log_config=None)
@app.route('/')
def index(request):
return text('Hi')
if __name__ == '__main__':
app.run(
host='0.0.0.0',
port=8000,
debug=False,
workers=4,
)
| null | app.py | app.py | py | 277 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sanic.Sanic",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sanic.response.text",
"line_number": 9,
"usage_type": "call"
}
] |
533463809 | import json
import dbHandler
def deleteHandler(id):
#connects to the database
todo = dbHandler.dbHandler()
#deletes entry from the database
todo.deleteEntry(id)
def getAllHandler():
#connects to database
todo = dbHandler.dbHandler()
#reads from database and puts it in a lis... | null | JavaScript_Python_API/assignment3/httpFunctions.py | httpFunctions.py | py | 2,686 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dbHandler.dbHandler",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dbHandler.dbHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "dbHandler.dbHandler... |
55560320 | import pandas as pd
from sqlalchemy import create_engine
# engine=create_engine
# from pandasql import *
import sqlite3
DATABASE = (r'C:\FINANCE\Python\pyCharm\Projects\OptionOraclePyQt5\database\MyDB.db3')
# ALCH_DATABASE = (r"sqlite:///C:\\FINANCE\\Python\\Projects\\OptionOraclePyQt5\\database\\MyDB.db3")
import ... | null | database/underlyingDB.py | underlyingDB.py | py | 3,747 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "types.SimpleNamespace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.DataFram... |
526939333 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import datetime
import hashlib
import json
import logging
import re
import time
import sys
import click
import pyinotify
from elasticsearch import Elasticsearch
SYSLOG_REGEX = r'^(?P<date>\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\.\d{6}\+\d{2}:\d{2})\s(?P<host>\w+)\s(?P<proc>... | null | modules/hostbase/files/syslog2elastic.py | syslog2elastic.py | py | 5,569 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.getL... |
648872655 | from flask import Flask, request, render_template, redirect, url_for
import sqlite3
import datetime as dt
app = Flask(__name__)
conn = sqlite3.connect("../database.db", detect_types=sqlite3.PARSE_DECLTYPES)
cursor = conn.cursor()
cursor.execute("""
CREATE TABLE IF NOT EXISTS
stat(
id INTEGER PRIMARY KE... | null | server.py | server.py | py | 5,996 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlite3.PARSE_DECLTYPES",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "flask.render_te... |
35583808 | from Bio import SeqIO
from tkinter import filedialog
from tkinter import *
import tkinter as tk
def dplot():
win = tk.Tk()
sv1 = StringVar()
sv2 = StringVar()
Label(win, text="First FASTA Record").grid(row=0)
Label(win, text="Second FASTA record").grid(row=1)
e1 = Entry(win, textvariable=sv1)
... | null | functions/dotplot.py | dotplot.py | py | 1,955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tkinter.Tk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "tkint... |
120160443 | from skydcp import finddcp, findsky_border
import getf
from multiprocessing import Pool, cpu_count
from functools import partial
import numpy as np
import cv2, os, logging, sys, time, pickle
import dbg
logger = logging.getLogger(__name__)
def main_feature(filename, _withsky=False):
img = cv2.imread(filename... | null | main_feature.py | main_feature.py | py | 6,434 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dbg.shrink_img",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "skydcp.finddcp",
"line... |
81082766 | from flask import Flask
from flask import Flask
from flask import json
from flask import request
from flask import Response
from flask import jsonify
import requests
import json
app = Flask(__name__)
from clarifai import rest
from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImag... | null | backend/mnm.py | mnm.py | py | 5,617 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "clarifai.rest.ClarifaiApp",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.request.arg... |
573371138 | #!/usr/bin/env python3
import configparser
config = configparser.ConfigParser()
config.read('config.ini')
stub = open('pa.net.stub').read()
capacity = config['circuit']['capacity']
inductance = config['circuit']['inductance']
parameters = {
'resolution': config['simulation']['resolution'],
'total_time': config['si... | null | pa.py | pa.py | py | 4,070 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "math.exp",
"line_... |
444776971 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''Utilities for svgis'''
# This file is part of svgis.
# https://github.com/fitnr/svgis
# Licensed under the GNU General Public License v3 (GPLv3) license:
# http://opensource.org/licenses/GPL-3.0
# Copyright (c) 2015-16, Neil Freeman <contact@fakeisthenewreal.org>
from... | null | svgis/utils.py | utils.py | py | 1,527 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.floor",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 78,
"usage_type": "call"
}
] |
488024014 |
import random
import logging
from importlib import reload # Not needed in Python 2
from typing import Optional
import numpy as np
import tensorflow as tf
import math
from functools import partial
from transformers import TFTrainingArguments, HfArgumentParser
from transformers import AutoConfig, AutoTokenizer
from t... | null | AMLPipeline/lis_components/train/train.py | train.py | py | 14,688 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dataclasses.field",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "dataclasses.field",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "dataclasses... |
357944350 | # coding: utf-8
import numpy as np
import matplotlib.pyplot as plt
class Modem:
def __init__(self, M, gray_map = True, bin_input = True, soft_decision = True, bin_output = True):
if np.log2(M) != np.round(np.log2(M)):
raise ValueError("M should be 2**n, with n=1, 2, 3...")
if ... | null | ModulationPy/ModulationPy.py | ModulationPy.py | py | 16,297 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.log2",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.log2",
"line_number": 45,
... |
345660079 | # keras imports
from keras.models import Model
from keras import backend as K
from keras.preprocessing import image
from keras.layers import Dense, GlobalAveragePooling2D
from keras.applications.inception_v3 import InceptionV3
from keras.preprocessing.image import ImageDataGenerator
from keras.callbacks import ModelChe... | null | Software/Python/DRIVE/utils/modeler.py | modeler.py | py | 1,476 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.applications.ince... |
240163453 | from __future__ import print_function, absolute_import, division
import sys
sys.path.append("..")
print(sys.path)
from numpy import *
from variables import *
# add variables to be allocated from the list in variables.py
solution_step_variables = [
DISPLACEMENT_X,
DISPLACEMENT_Y,
VELOCITY_X,
VELOCITY_... | null | structure_ex/small_structure_test.py | small_structure_test.py | py | 2,432 | 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": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "gid_io.ReadModelPart",
"... |
80495478 | #! /usr/bin/python
# To change this license header, choose License Headers in Project Properties.
# To change this template file, choose Tools | Templates
# and open the template in the editor.
# -*- coding: utf-8 -*-
__author__ = "jcarlos"
__date__ = "$27-oct-2015 11:30:50$"
import sqlite3
try:
bd = sqlite3.co... | null | src/conexion.py | conexion.py | py | 482 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
}
] |
146183556 | #let us start with a basic ml app using flask
from flask import Flask, render_template,request
from flask_cors import cross_origin
import numpy as np
app = Flask(__name__)
#loading the model
import pickle
model=pickle.load(open(r'App\model.pkl',"rb"))
@app.route('/')
def home():
return render_template('home.html'... | null | App/app.py | app.py | py | 763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
... |
380482015 | from gemstone.common.testers import BasicTester
from peak_core.peak_core import PeakCore
from lassen.sim import PE_fc
from lassen.asm import add, Mode_t
import shutil
import tempfile
import os
import pytest
@pytest.fixture(scope="module")
def dw_files():
filenames = ["DW_fp_add.v", "DW_fp_mult.v"]
dirname = "... | null | tests/test_peak_core/test_pe_stall.py | test_pe_stall.py | py | 1,690 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.isfile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number":... |
369210277 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
##############
MolFrame Tools
##############
*Created on Thu Aug 31, 2017 by A. Pahl*
Tools for working with MolFrame dataframes.
"""
import time
import pickle # for b64 encoded mol objects
import gzip
import sys
import base64 as b64
import os.path as op
from copy ... | null | mol_frame/mol_frame.py | mol_frame.py | py | 25,918 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "mol_images.b64_mol",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "misc_tools.apl_tools.get_commit",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "misc_tools.apl_tools",
"line_number": 45,
"usage_type": "name"
},
{
"api_name"... |
453066113 | import os
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Flatten, Dense, Lambda
from keras.models import Sequential, load_model
# Tiny model
# Total params: 136,937
def build(target_height, target_width, channels, model_h5=None, normalize=True):
model = None
if model_h5 and os.path.e... | null | Computer/libraries/models/tiny_cnn.py | tiny_cnn.py | py | 1,554 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "keras.models.load_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequ... |
8585852 | # -*- coding:UTF-8 -*-
import atexit
import time
import logging
import os, sys
import stomp
import pymongo
import configparser
import os
import datetime
import send_message
conf = configparser.ConfigParser()
conf.read('./base.conf') # 文件路径
db_name = conf.get("mongodb", "db_name") # 从base.conf里获取数据名
host = conf.get("... | null | msg_push/mqtest.py | mqtest.py | py | 3,305 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "d... |
373956681 | # Copyright (C) 2008-2009 Open Society Institute
# Thomas Moroz: tmoroz@sorosny.org
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License Version 2 as published
# by the Free Software Foundation. You may not use, modify or distribu... | null | setup.py | setup.py | py | 1,483 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 35,
"usage_type": "call"
}
] |
307246578 | # -*- encoding=utf8 -*-
# @Author:
import sys
import traceback
import subprocess
import os
import configparser
import shutil
import json
import datetime,time
import ctypes
import logging
import platform
from Utils.Constant.ConstantVar import ConstantVar
# 系统工具类
from Utils.Tool import MyConfigparser
from Utils.Tool.Kern... | null | Utils/Tool/SystemTool.py | SystemTool.py | py | 8,001 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Utils.Tool.Kernel.Kernel",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "Utils.Constant.ConstantVar.ConstantVar.Windows",
"line_number": 70,
"usage_type": "attribute"
},
{
"api_name": "Utils.Constant.ConstantVar.ConstantVar",
"line_number": 70,
... |
127890573 | import random
import json
import locale
from flask import Flask, render_template, redirect, url_for, session
from flask_wtf import FlaskForm
from wtforms import StringField, HiddenField, RadioField
from wtforms.fields.html5 import TelField
from wtforms.validators import InputRequired, Length, ValidationError
def get_t... | null | app.py | app.py | py | 7,923 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 29,
... |
134375884 | import logging
from datetime import datetime
from dateutil.relativedelta import relativedelta
from core.order.actions.base import (
Action,
send_mail,
send_template_email,
get_admin_order_url,
)
# from core.order.actions.user import send_silent_push
from core.db.models import (
SUPPORT_NOTIFIED_STA... | null | core/order/actions/support_admin.py | support_admin.py | py | 3,808 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "core.order.actions.base.Action",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "core.dbmethods.get_wine_expert_for_order",
"line_number": 38,
"usage_type": "call"
},
{
... |
45299664 | import pymongo
import os
def connect_db():
"""
Establishes a connection that depends on the env and return the database
:return: The DB
"""
# get mongoDB uri depending on the env
if os.environ["PATH"].startswith("/home/konstantinos/"):
import configparser
local_config = configp... | null | db_ops.py | db_ops.py | py | 894 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "pymongo.Mon... |
602151379 | # -*- coding: utf-8 -*-
#
# Copyright 2017 Xiangxiang Telecom Corporation.
# @author: Liusha
"""This is the models of the cdma models.
"""
from uuid import uuid1
from app import db
from app.com.lius.models.base import BaseModel
class CdmaCell(BaseModel, db.Model):
"""information cdma cell mapping class.
... | null | web_root/app/cdma/models.py | models.py | py | 3,816 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.com.lius.models.base.BaseModel",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.db.Model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "app.db",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "app.db.Co... |
2056828 | from torch.autograd import Variable
import torch
import os
import numpy as np
import matplotlib.pyplot as plt
import random
from scipy.misc import imread
class Face:
def __init__(self, fileName):
self.data = imread("./resized/" + fileName)
self.name = fileName
for index in range... | null | GetData.py | GetData.py | py | 2,380 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.misc.imread",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_numb... |
641321206 | import binascii
import copy
import datetime
import json
import logging
import os
import attrdict
import bson
import pytest
from api.config import persistent_fs_url
from api.config import local_fs_url
from flywheel_common.storage import parse_storage_url
SCITRAN_CORE_DRONE_SECRET = os.environ['SCITRAN_CORE_DRONE_SECR... | null | tests/fixtures/common.py | common.py | py | 17,758 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "binascii.hexlify",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"li... |
43249909 | #this is a console game copy of http://www.higherlowergame.com/
#import logos and accounts and the clear method from replit
import random
from art import logo, vs
from profiles import accounts
from module_clear import clear
#import choice to randomly pick an account
from random import choice
#variable that ho... | null | Higher Lower Game/main.py | main.py | py | 2,916 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "profiles.accounts",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "art.logo",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "art.vs",
"line_n... |
212690777 | # -*- coding: utf-8 -*-
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import HtmlResponse, Request
from scrapy.utils.response import get_base_url
from urlparse import urljoin
from product_spiders.utils import extract_price_eu, extract_price2uk
from product_spider... | null | e-commerce/CompetitorMonitor/product_spiders/spiders/eservicesgroup_it/mydigitaland_spider.py | mydigitaland_spider.py | py | 2,696 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.spider.BaseSpider",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scrapy.utils.response.get_base_url",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scrapy.selector.HtmlXPathSelector",
"line_number": 21,
"usage_type": "call"
... |
351194908 | import zmq
class ClienteLeitorCB:
def __init__(self):
self.context = None
self.socket = None
def conectar(self): #como cliente
self.context = zmq.Context()
self.socket = self.context.socket(zmq.REQ)
self.socket.connect("tcp://localhost:5555")
def requisitarLeitura(... | null | Peripheral/Client.py | Client.py | py | 728 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "zmq.Context",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "zmq.REQ",
"line_number": 10,
"usage_type": "attribute"
}
] |
254860622 | import configparser
import logging
import sys
DEFAULT_CONFIG = '''
[jira_server]
url: https://example.local/jira
username: test
password: test
[statuses]
# mapping of issue types to allowed statuses
all: Backlog,Todo,In Progress
[paths]
# list of file or folder paths where todos are not searched or validated, relati... | null | src/inspectortodo/config.py | config.py | py | 2,161 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 68,
"usage_type": "call"
}
] |
331256346 | from glob import glob
from os.path import join
from pandas import read_csv
import codecs
import argparse
sample_input = """
Density Variance Average Coverage Objects coverage Attributes coverage Conditions coverage Extent Intent Modus
31.23 7899693.28 1286.43 0.48 0.64 0.33 0.14 <ta... | null | fi/eval/noac2eval.py | noac2eval.py | py | 3,260 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "codecs.open",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number... |
353784066 | #Boa:Dialog:frameAbout
"""
============================================================================
Title : frameAbout.py
Description :
Notes :
History :
Copyright (c) 2012 Bitwise Systems. All rights reserved.
This software contains confidential information and trade secrets of
Bitwise S... | null | Software/QuickUsbDiagPy/frameAbout.py | frameAbout.py | py | 6,251 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 48,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_numb... |
129049696 | # Copyright 2019 Verily Life Sciences Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | null | verily/bigquery_wrapper/bq_test.py | bq_test.py | py | 12,130 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "verily.bigquery_wrapper.bq_shared_tests.BQSharedTests",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "verily.bigquery_wrapper.bq_shared_tests",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 45,
"u... |
168464490 | #-*- encoding: UTF-8 -*-
from lxml import html
import requests
import time
import pandas as pd
def sinablog(u='1619925757',p=5):
'''
根据用户id与文章总页数获取新浪博客的标题及链接,e.g.
http://blog.sina.com.cn/s/articlelist_1619925757_0_1.html
娱乐工业
http://blog.sina.com.cn/s/blog_608e1afd0102wkw4.html
咸吃萝卜扯扯淡
http... | null | data/smm_metal_price.py | smm_metal_price.py | py | 2,865 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_nu... |
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