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from itertools import chain from nose.tools import * from hawkweed.monads.either import Either, Left, Right, is_right,\ is_left, is_either, either, lefts, rights, partition_eithers from hawkweed.functional.primitives import identity def test_right(): assert_equal(Right(10).bind(identity), 10) def test_not...
[ "hawkweed.monads.either.either", "hawkweed.monads.either.rights", "hawkweed.monads.either.Left", "hawkweed.monads.either.Right", "hawkweed.monads.either.is_either", "hawkweed.monads.either.lefts", "hawkweed.monads.either.is_right", "hawkweed.monads.either.is_left", "hawkweed.monads.either.partition_...
[((336, 351), 'hawkweed.monads.either.Left', 'Left', (['"""failure"""'], {}), "('failure')\n", (340, 351), False, 'from hawkweed.monads.either import Either, Left, Right, is_right, is_left, is_either, either, lefts, rights, partition_eithers\n'), ((512, 524), 'hawkweed.monads.either.is_right', 'is_right', (['(10)'], {}...
import numpy as np import pandas as pd from .libbinding import t_schema, t_dtype, t_table class Perspective(object): def __init__(self, column_names, types): self._columns = {} dtypes = [] for name, _type in zip(column_names, types): dtypes.append(self._type_to_dtype(_type)) ...
[ "pandas.DataFrame" ]
[((3233, 3247), 'pandas.DataFrame', 'pd.DataFrame', ([], {}), '()\n', (3245, 3247), True, 'import pandas as pd\n')]
import os import shutil import tempfile import unittest from django.test import TestCase from ...plugins import DatabaseCacheLayer from .handler import ShelfDatabasePlugin class ShelfDatabaseTest(TestCase): def setUp(self): self.temp_path = tempfile.mkdtemp() self.db_path = os.path.join(self.tem...
[ "os.path.join", "tempfile.mkdtemp", "unittest.SkipTest", "shutil.rmtree" ]
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from sqlalchemy import Boolean, Column, ForeignKey, Integer, String, DATE from sqlalchemy.orm import relationship from database import Base class User(Base): __tablename__ = "users" username = Column(String, primary_key=True, index=True) email = Column(String, unique=True, index=True) name = Column(...
[ "sqlalchemy.orm.relationship", "sqlalchemy.ForeignKey", "sqlalchemy.Column" ]
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from openpathsampling.high_level.network import FixedLengthTPSNetwork from openpathsampling.high_level.transition import FixedLengthTPSTransition import openpathsampling as paths class PartInBFixedLengthTPSTransition(FixedLengthTPSTransition): """Fixed length TPS transition accepting any frame in the final state. ...
[ "openpathsampling.LengthEnsemble", "openpathsampling.AllInXEnsemble", "openpathsampling.PartInXEnsemble" ]
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from django.contrib import admin from players.models import Player class PlayerAdmin(admin.ModelAdmin): pass admin.site.register(Player, PlayerAdmin)
[ "django.contrib.admin.site.register" ]
[((117, 157), 'django.contrib.admin.site.register', 'admin.site.register', (['Player', 'PlayerAdmin'], {}), '(Player, PlayerAdmin)\n', (136, 157), False, 'from django.contrib import admin\n')]
from . import Checksum from django.conf import settings import requests import json def VerifyPaytmResponse(response): response_dict = {} if response.method == "POST": data_dict = {} for key in response.POST: data_dict[key] = response.POST[key] MID = data_dict['MID'] ...
[ "requests.post" ]
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# Copyright (c) 2016-present, Facebook, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed...
[ "numpy.random.rand", "numpy.log", "hypothesis.strategies.integers", "caffe2.python.core.CreateOperator" ]
[((1536, 1590), 'caffe2.python.core.CreateOperator', 'core.CreateOperator', (['"""BernoulliJSD"""', "['p', 'q']", "['l']"], {}), "('BernoulliJSD', ['p', 'q'], ['l'])\n", (1555, 1590), False, 'from caffe2.python import core\n'), ((1031, 1040), 'numpy.log', 'np.log', (['p'], {}), '(p)\n', (1037, 1040), True, 'import nump...
from collections import deque import networkx as nx import numpy as np def random_subtree(T, alpha, beta, subtree_mark): """ Random subtree of T according to Algorithm X in [1]. Args: alpha (float): probability of continuing to a neighbor beta (float): probability of non empty subtree ...
[ "numpy.float", "collections.deque", "numpy.power", "networkx.Graph", "numpy.random.multinomial", "numpy.random.randint" ]
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ Constants parameter functions DRS Import Rules: - only from apero.lang and apero.core.constants Created on 2019-01-17 at 15:24 @author: cook """ from collections import OrderedDict import copy import numpy as np import os import pkg_resources import shutil import sy...
[ "ctypes.create_string_buffer", "copy.deepcopy", "sys.exit", "numpy.nanmin", "os.remove", "os.path.exists", "ctypes.windll.kernel32.GetConsoleScreenBufferInfo", "os.listdir", "apero.core.constants.constant_functions.generate_consts", "os.path.normpath", "apero.core.constants.constant_functions.Di...
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from math import sin #para usar la función seno from time import time #importamos la función time para capturar tiempos x = list(range(0,100)) #vector de valores desde 0 a 99 y = [0.0 for i in range(len(x))] #inicializamos el vector de resultados con 100 valores 0.0 tiempo_inicial = time() for i in range(100):...
[ "math.sin", "time.time" ]
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# -*- coding: utf-8 -*- # Copyright (C) <NAME> <<EMAIL>> # # Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify,...
[ "logging.getLogger", "django.shortcuts.render", "json.loads", "base64.urlsafe_b64decode", "django.http.HttpResponse", "apps.nagios.models.SecurityPort.objects.all", "apps.nagios.models.Satellite.live_connect", "apps.nagios.models.Satellite.objects.filter", "cipher.AESCipher", "django.core.serializ...
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from flask_wtf import Form from flask_wtf import FlaskForm from wtforms import StringField,TextAreaField,SubmitField,SelectField #from flask_wtf import import Required #from wtforms.validators import Required class PitchForm(FlaskForm): title = StringField('Pitch title') text = TextAreaField('Text') cate...
[ "wtforms.SelectField", "wtforms.SubmitField", "wtforms.StringField", "wtforms.TextAreaField" ]
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import json import os import sys import yaml def parseYaml(file): yFile = open(file) yml = yaml.load(yFile, Loader=yaml.FullLoader) yFile.close() return yml def generateCosts(tosca, deploymentInfo): # creating empty costs dictionary costs = {} # adding cost for bottom costs["bottom"] ...
[ "os.path.exists", "json.dumps", "yaml.load", "os.chdir", "os.mkdir", "os.path.abspath" ]
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import sys import os sys.path = [os.path.abspath(os.path.join(__file__, '..', '..')), ] + sys.path import INoDS_model as inods import numpy as np import time ################################################## ## NOTE: INoDS requires the network and health data to be formatted in ## a specific manner. Check example file...
[ "os.path.join", "time.time", "INoDS_model.run_inods_sampler" ]
[((1442, 1453), 'time.time', 'time.time', ([], {}), '()\n', (1451, 1453), False, 'import time\n'), ((1454, 1739), 'INoDS_model.run_inods_sampler', 'inods.run_inods_sampler', (['edge_filename', 'health_filename', 'output_filename', 'infection_type', 'null_networks', 'burnin', 'iteration'], {'truth': 'truth', 'verbose': ...
import os import random as rn def clear(): return os.system('cls') lines = [x.replace('\n', '') for x in tuple(open('words.txt', 'r'))] clear() words = lines char_set = set() word = '' word_set = set(word) word_len = len(word) trie = 6 score = [0, 0] def reset(): x = rn.randint(0, len(words) - 1) global ...
[ "os.system" ]
[((52, 68), 'os.system', 'os.system', (['"""cls"""'], {}), "('cls')\n", (61, 68), False, 'import os\n')]
import os import sys import fcntl fh=0 def run_once(): global fh fh=open(os.path.realpath(__file__),'r') try: fcntl.flock(fh,fcntl.LOCK_EX|fcntl.LOCK_NB) except: os._exit(0) run_once()
[ "os.path.realpath", "os._exit", "fcntl.flock" ]
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import pytest import asyncio @pytest.mark.asyncio async def test_faulty_setup(Player): p = Player.from_description("videotestsrc ! faulty ! fakesink") await p.play() await asyncio.sleep(5) await p.stop()
[ "asyncio.sleep" ]
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# Library imports from flask import Flask, request, make_response, Response from flask_cors import CORS import json import os import sys # Add James to path sys.path.append(os.path.dirname(os.path.dirname(__file__))) # Project imports from api.jamesClasses import inputCorpus from api.jamesConfig import cfg from api.jam...
[ "api.jamesClasses.inputCorpus", "flask.request.files.get", "json.loads", "flask_cors.CORS", "flask.Flask", "json.dumps", "api.jamesCSV.makeCSV", "api.jamesMain.process", "os.path.dirname", "flask.make_response", "api.jamesPreProcessing.separateSentences" ]
[((457, 472), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (462, 472), False, 'from flask import Flask, request, make_response, Response\n'), ((480, 489), 'flask_cors.CORS', 'CORS', (['app'], {}), '(app)\n', (484, 489), False, 'from flask_cors import CORS\n'), ((189, 214), 'os.path.dirname', 'os.path.dir...
from os import name from django.shortcuts import render,redirect # Create your views here. # from django.contrib.auth.forms import UserCreationForm from django.contrib import messages from .forms import UserRegisterForm,UserUpdateForm,ProfileUpdateForm from django.contrib.auth.decorators import login_required # from...
[ "django.shortcuts.render", "django.shortcuts.redirect", "django.contrib.messages.success" ]
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import matplotlib.pyplot as plt import matplotlib from matplotlib import animation import seaborn as sns import numpy as np import cmocean import os from mpl_toolkits.axes_grid1 import AxesGrid from mpl_toolkits.axes_grid1 import make_axes_locatable import scipy import scipy.ndimage from scipy.stats import norm import ...
[ "matplotlib.pyplot.pcolormesh", "numpy.array", "scipy.ndimage.gaussian_filter", "numpy.sin", "matplotlib.pyplot.imshow", "matplotlib.pyplot.contourf", "seaborn.set", "matplotlib.pyplot.close", "matplotlib.pyplot.contour", "numpy.linspace", "os.path.isdir", "matplotlib.pyplot.clabel", "numpy....
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from creature import * from nn_model import model_simple_predator class Predator(Creature): def __init__(self,starting_pos=[0,0], speed=np.random.randint(10,20), size=np.random.randint(1,10), sense = np.random.uniform(0,20), weights_food = np.random.uniform(-1,1,(2,6))): super(Predator,self).__i...
[ "nn_model.model_simple_predator" ]
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# encoding: utf-8 # Copyright 2011 Tree.io Limited # This file is part of Treeio. # License www.tree.io/license """ Project management models """ from django.db import models from django.core.urlresolvers import reverse from django.utils.translation import ugettext as _ from treeio.core.models import Object, User from...
[ "django.db.models.TextField", "django.db.models.ForeignKey", "django.db.models.IntegerField", "django.db.models.ManyToManyField", "django.core.urlresolvers.reverse", "django.db.models.BooleanField", "django.utils.translation.ugettext", "datetime.datetime.now", "django.db.models.DateTimeField", "da...
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# <NAME> <<EMAIL>> # Seg 14 Mar 2011 21:46:55 BRT import logging, os, zc.buildout class CreateSymbolicLinks: """ Buildout recipe for create dir and link modules. Use as: [buildout] parts = django tipfy [django] recipe = recipes:ln target = /home/carlo/django/trunk/django directory = app/lib/dist/django...
[ "logging.getLogger", "os.path.exists", "os.readlink", "os.path.join", "os.symlink", "os.path.realpath", "os.path.dirname", "os.unlink" ]
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from django.shortcuts import render,redirect,HttpResponse from django.contrib.auth.decorators import login_required from django.urls import reverse from .forms import NewsForm from .models import News from django.contrib import messages from RoboClub.decorators import has_role_head_or_coordinator from django.template.l...
[ "django.shortcuts.render", "django.contrib.messages.info", "django.shortcuts.redirect", "django.contrib.messages.success", "django.core.mail.EmailMessage", "django.contrib.auth.models.User.objects.all", "django.template.loader.render_to_string" ]
[((754, 798), 'django.shortcuts.render', 'render', (['request', '"""news/notice.html"""', 'context'], {}), "(request, 'news/notice.html', context)\n", (760, 798), False, 'from django.shortcuts import render, redirect, HttpResponse\n'), ((945, 997), 'django.shortcuts.render', 'render', (['request', '"""news/notice_colle...
from websocket import WebSocket from pymongo import MongoClient import json import re #preventing eval mistakes true = True false = False null = None #connecting to db for posts and blockchain websocket db = MongoClient().golos ws = WebSocket() ws.connect('wss://api.golos.cf') print('Sending for 100') #Sending quer...
[ "re.sub", "pymongo.MongoClient", "json.dumps", "websocket.WebSocket" ]
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''' Description: Given an array A of integers, return true if and only if it is a valid mountain array. Recall that A is a mountain array if and only if: A.length >= 3 There exists some i with 0 < i < A.length - 1 such that: A[0] < A[1] < ... A[i-1] < A[i] A[i] > A[i+1] > ... > A[A.length - 1] Example 1: Input...
[ "collections.namedtuple" ]
[((2007, 2042), 'collections.namedtuple', 'namedtuple', (['"""TestEntry"""', '"""sequence"""'], {}), "('TestEntry', 'sequence')\n", (2017, 2042), False, 'from collections import namedtuple\n')]
from typing import TypeVar, Generic, Iterable, Tuple T = TypeVar('T') class ImmutableSequence(Generic[T]): def __init__(self, items: Iterable[T]): self._items: Tuple[T] = tuple(items) def __eq__(self, other) -> bool: if not isinstance(other, ImmutableSequence): return False ...
[ "typing.TypeVar" ]
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#!/usr/bin/env python3 """ ROS component that implement a ball detector """ # Import of libraries import sys import time import numpy as np from scipy.ndimage import filters import imutils import cv2 import roslib import rospy from sensor_msgs.msg import CompressedImage from sensoring.srv import DetectImage,Dete...
[ "rospy.init_node", "cv2.imshow", "cv2.destroyAllWindows", "cv2.imdecode", "cv2.erode", "rospy.Service", "imutils.grab_contours", "rospy.spin", "numpy.fromstring", "rospy.Subscriber", "cv2.waitKey", "cv2.minEnclosingCircle", "sensoring.srv.DetectImageResponse", "cv2.circle", "cv2.cvtColor...
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import logging import datetime from concurrent.futures import ThreadPoolExecutor thread_pool = ThreadPoolExecutor() def debug(): logger = logging.getLogger('discord') logger.setLevel(logging.DEBUG) handler = logging.FileHandler(filename=f'Logs/{datetime.date.today()}-debug.log', encoding='utf-8') han...
[ "logging.getLogger", "concurrent.futures.ThreadPoolExecutor", "logging.Formatter", "datetime.datetime.now", "datetime.date.today" ]
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from model.user_form import UserForm import random import string # def random_string(prefix, maxlen): # symbols = string.ascii_letters + string.digits + " " * 10 # return prefix + "".join([random.choice(symbols) for i in range(random.randrange(maxlen))]) # # # testdata =[ # UserForm(firstname=random_strin...
[ "model.user_form.UserForm" ]
[((714, 834), 'model.user_form.UserForm', 'UserForm', ([], {'firstname': '"""firstname"""', 'lastname': '"""lastname"""', 'middlename': '"""miDname"""', 'nickname': '"""nickname"""', 'homepage': '"""homePage"""'}), "(firstname='firstname', lastname='lastname', middlename='miDname',\n nickname='nickname', homepage='h...
# project/tests/test_users.py import json from project.tests.base import BaseTestCase from project import create_app app = create_app() class TestSendersService(BaseTestCase): """Tests for the Users Service.""" def test_all_senders(self): """Ensure get all senders behaves correctly.""" wi...
[ "project.create_app" ]
[((127, 139), 'project.create_app', 'create_app', ([], {}), '()\n', (137, 139), False, 'from project import create_app\n')]
from django.test import TestCase from django.core.urlresolvers import reverse from http import HTTPStatus from django.contrib.auth.models import Group class SurveyRenderTestCase(TestCase): @classmethod def setUpTestData(cls): Group.objects.create(name='admin') def setUp(self): pass clas...
[ "django.core.urlresolvers.reverse", "django.contrib.auth.models.Group.objects.create" ]
[((244, 278), 'django.contrib.auth.models.Group.objects.create', 'Group.objects.create', ([], {'name': '"""admin"""'}), "(name='admin')\n", (264, 278), False, 'from django.contrib.auth.models import Group\n'), ((460, 504), 'django.core.urlresolvers.reverse', 'reverse', (['"""well_detail"""'], {'kwargs': "{'pk': '123'}"...
import numpy as np import openpnm as op from porespy.filters import trim_nonpercolating_paths import collections def tortuosity(im, axis, return_im=False, **kwargs): r""" Calculates tortuosity of given image in specified direction Parameters ---------- im : ND-image The binary image to an...
[ "numpy.prod", "openpnm.utils.toc", "openpnm.phases.Water", "openpnm.utils.tic", "collections.namedtuple", "numpy.allclose", "numpy.reshape", "porespy.filters.trim_nonpercolating_paths", "numpy.zeros", "openpnm.algorithms.FickianDiffusion", "openpnm.network.CubicTemplate" ]
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import unittest import numpy from oo_trees.dataset import * from oo_trees.decision_tree import * from oo_trees.attribute import * class TestDecisionTree(unittest.TestCase): def test_classification(self): X = numpy.array([[0, 1], [0, 0], [1, 0], [1, 1]]) y = numpy.array(['H', 'H', 'H', 'T']) ...
[ "numpy.array" ]
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#!/usr/local/bin/python from sprint import sprint as print import string import uuid import basics import config import useful # ------ user editor def print_users(pif): table_info = pif.dbh.table_info['user'] entries = [] for user in pif.dbh.fetch_users(): user['user_id'] = '<a href="user.cgi...
[ "useful.generate_token", "useful.SimpleError", "useful.bit_list", "basics.process_command_list", "uuid.uuid4", "sprint.sprint", "useful.warn", "useful.simple_process", "useful.Redirect" ]
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import tensorflow as tf # for tf libs import pathlib # for giving path of the images # a closs to wrap dataset functions class LoadImages: def __init__(self, data_path): # assign a data path to all the libs self.__data_root = pathlib.Path(data_path) # def a function to process data def _...
[ "tensorflow.data.Dataset.zip", "tensorflow.data.Dataset.from_tensor_slices", "pathlib.Path", "tensorflow.image.resize", "tensorflow.io.read_file", "tensorflow.image.decode_image" ]
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#!/usr/bin/env python3 from setuptools import find_packages, setup VERSION = '0.0.3' PYTHON_REQUIRES = '3.8' packagedata = { 'include_package_data': True, 'name': "snowshu", 'version': VERSION, 'author': "Health Union Data Team", 'author_email': '<EMAIL>', 'url': 'https://snowshu.readthedocs....
[ "setuptools.find_packages", "setuptools.setup" ]
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from ivy import ivy_module as im from ivy.ivy_compiler import ivy_from_string from ivy.tk_ui import new_ui from ivy import ivy_utils as iu prog = """#lang ivy1.6 type t individual x(X:t) : t object foo(me:t) = { after init { x(me) := me; assert false } } isolate iso_foo(me:t) = foo(me) wit...
[ "ivy.ivy_module.Module", "ivy.tk_ui.new_ui", "ivy.ivy_compiler.ivy_from_string", "ivy.ivy_utils.set_parameters" ]
[((339, 350), 'ivy.ivy_module.Module', 'im.Module', ([], {}), '()\n', (348, 350), True, 'from ivy import ivy_module as im\n'), ((356, 447), 'ivy.ivy_utils.set_parameters', 'iu.set_parameters', (["{'mode': 'induction', 'isolate': 'iso_foo', 'show_compiled': 'true'}"], {}), "({'mode': 'induction', 'isolate': 'iso_foo',\n...
# # Copyright 2017 Import.io # # 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, ...
[ "logging.getLogger", "os.path.exists", "csv.DictReader", "datetime.datetime.now", "json.dump" ]
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#!/usr/bin/env python import glob import os import shutil import subprocess import uuid def renameFiles(tooldir, dadir, fromnames, toname): "Recursively replace file names and contents." tooldir = os.path.join('..', tooldir) os.chdir(dadir) for fromname in fromnames: fromspaced = "".join([x if x.islower() else ...
[ "os.rename", "shutil.ignore_patterns", "os.path.join", "os.chdir", "uuid.uuid1", "os.path.isdir", "subprocess.call", "sys.exit", "glob.glob", "os.remove" ]
[((201, 228), 'os.path.join', 'os.path.join', (['""".."""', 'tooldir'], {}), "('..', tooldir)\n", (213, 228), False, 'import os\n'), ((230, 245), 'os.chdir', 'os.chdir', (['dadir'], {}), '(dadir)\n', (238, 245), False, 'import os\n'), ((1167, 1181), 'glob.glob', 'glob.glob', (['"""*"""'], {}), "('*')\n", (1176, 1181), ...
import json from automator_class import Automator # fetch('https://jsonplaceholder.typicode.com/posts/1') # .then(res => res.json()) # .then(console.log) if __name__ == "__main__": url = "https://jsonplaceholder.typicode.com/posts/1" automator = Automator() automator.start_html_session() res_sta...
[ "automator_class.Automator" ]
[((262, 273), 'automator_class.Automator', 'Automator', ([], {}), '()\n', (271, 273), False, 'from automator_class import Automator\n')]
import unittest import hashids import time import os hashid = hashids.Hashids() __all__ = ['user_tester', 'NormTestCase'] os.environ['NORM_DATA_STORAGE_ROOT'] = 'data' os.environ['NORM_DB_PATH'] = 'norm/db/norm.db' from norm.config import session def user_tester(): from norm.models.user import User tester...
[ "norm.config.session.add", "norm.models.user.User", "norm.config.session.commit", "hashids.Hashids", "time.time", "norm.config.session.query", "norm.engine.NormCompiler" ]
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import numpy as np k_i = np.array([0.20, 0.22, 0.78, 0.80, 0.30, 0.32, 0.96, 1.00, 1.20, 1.43, 1.80, 1.88, 0.40, 0.50, 3.24, 3.50, 0.38, 0.43, 2.24, 4.90, 0.40, 0.44, 1.22, 4.00, 0.39, 0.44, 0.96, 1.80, 0.39...
[ "numpy.linalg.solve", "numpy.sqrt", "numpy.array", "numpy.linspace", "numpy.zeros" ]
[((26, 255), 'numpy.array', 'np.array', (['[0.2, 0.22, 0.78, 0.8, 0.3, 0.32, 0.96, 1.0, 1.2, 1.43, 1.8, 1.88, 0.4, 0.5,\n 3.24, 3.5, 0.38, 0.43, 2.24, 4.9, 0.4, 0.44, 1.22, 4.0, 0.39, 0.44, \n 0.96, 1.8, 0.39, 0.45, 0.8, 1.6, 0.4, 0.47, 0.6, 1.6]'], {'dtype': 'float'}), '([0.2, 0.22, 0.78, 0.8, 0.3, 0.32, 0.96, 1...
''' A command library help user upload their results to dashboard. ''' #!/usr/bin/env python import argparse from ..file_utils import get_resource_file_path, get_resource_list from . import cli_constant as cli def entry(args): '''Entrance of show resources path and whether resource is cached or not''' resource_nam...
[ "argparse.ArgumentParser" ]
[((355, 493), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'prog': '"""cotk resources"""', 'description': '"""check resources site and whether s specific resource cache is available"""'}), "(prog='cotk resources', description=\n 'check resources site and whether s specific resource cache is available'...
from Bio.Data.IUPACData import protein_letters_3to1_extended import os import pandas as pd import re import sys # Note: the 'logging' module does not work with unit tests for some reason, replaced to 'print' for now # logging.basicConfig(level=logging.DEBUG) COL__INFO = 'INFO' def eprint(*a): """Print message ...
[ "pandas.Series", "pandas.read_csv", "re.match", "os.path.isfile", "re.finditer" ]
[((1814, 1874), 'pandas.read_csv', 'pd.read_csv', (['file_name'], {'sep': '"""\t"""', 'skiprows': 'comment_lines_cnt'}), "(file_name, sep='\\t', skiprows=comment_lines_cnt)\n", (1825, 1874), True, 'import pandas as pd\n'), ((5270, 5383), 're.finditer', 're.finditer', (['"""protein_coding\\\\|\\\\d+/\\\\d+\\\\|(?P<nuc_m...
import os import shutil import json import pandas as pd import ast import numpy as np from utils.read_convergence import plot_convergence, parse, get_cffl_best fairness_keys = [ 'standalone_vs_fedavg_mean', 'standalone_vs_rrdssgd_mean', 'standalone_vs_final_mean', ] def collect_and_compile_performance(dirnam...
[ "os.listdir", "os.path.join", "utils.read_convergence.plot_convergence", "utils.read_convergence.parse", "pandas.DataFrame" ]
[((383, 402), 'os.listdir', 'os.listdir', (['dirname'], {}), '(dirname)\n', (393, 402), False, 'import os\n'), ((2500, 2532), 'os.path.join', 'os.path.join', (['dirname', '"""figures"""'], {}), "(dirname, 'figures')\n", (2512, 2532), False, 'import os\n'), ((2553, 2572), 'os.listdir', 'os.listdir', (['dirname'], {}), '...
#!/usr/bin/python import sys import requests import json import kerberos """ Queries the YARN Job History Server (JHS) for a given jobId and returns the Hive counters Works with unauthenticated and SPNEGO (Kerberos) authenticated API endpoints """ __author__ = "<NAME>" __copyright__ = "Copyright 2016, <NAME>" ...
[ "json.loads", "kerberos.authGSSClientInit", "requests.get", "sys.stderr.write", "kerberos.authGSSClientStep", "kerberos.authGSSClientResponse", "sys.stdout.write" ]
[((662, 719), 'kerberos.authGSSClientInit', 'kerberos.authGSSClientInit', (["('%s@%s' % (service, hostname))"], {}), "('%s@%s' % (service, hostname))\n", (688, 719), False, 'import kerberos\n'), ((722, 765), 'kerberos.authGSSClientStep', 'kerberos.authGSSClientStep', (['krb_context', '""""""'], {}), "(krb_context, '')\...
#!/usr/bin/python # -*- coding: utf8 -*- """ Functions and classes for handling next generation sequencing data. :author: <NAME> :license: FreeBSD License ---------- Copyright (c) 2016, <NAME> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided ...
[ "datetime.date.today" ]
[((3222, 3243), 'datetime.date.today', 'datetime.date.today', ([], {}), '()\n', (3241, 3243), False, 'import datetime\n')]
import numpy as np def fit_MRF_pseudolikelihood(adj_exc,adj_inh,y): ''' Fit a Markov random field using maximum pseudolikelihood estimation, also known as logistic regression. The conditional probabilities follow y_i ~ Logistic(B[0] + B[1] A1_{ij} y_j + A1[2] X_{ij} (1-y_j) + B[...
[ "numpy.random.rand", "numpy.column_stack", "numpy.array", "networkx.closeness_centrality", "networkx.betweenness_centrality", "numpy.arange", "networkx.eigenvector_centrality_numpy", "numpy.mean", "numpy.multiply", "networkx.clustering", "networkx.DiGraph", "numpy.exp", "numpy.dot", "netwo...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('wuqian', '0008_wuqianbusiness_image'), ] operations = [ migrations.CreateModel( name='UploadImage', ...
[ "django.db.models.ImageField", "django.db.models.AutoField" ]
[((352, 445), 'django.db.models.AutoField', 'models.AutoField', ([], {'verbose_name': '"""ID"""', 'serialize': '(False)', 'auto_created': '(True)', 'primary_key': '(True)'}), "(verbose_name='ID', serialize=False, auto_created=True,\n primary_key=True)\n", (368, 445), False, 'from django.db import models, migrations\...
from __future__ import print_function import numpy as np import treegp from treegp_test_helper import timer from treegp_test_helper import get_correlation_length_matrix from treegp_test_helper import make_1d_grf from treegp_test_helper import make_2d_grf @timer def test_hyperparameter_search_1d(): optimizer = ['l...
[ "numpy.mean", "treegp.GPInterpolation", "treegp.eval_kernel", "numpy.sqrt", "numpy.ones_like", "numpy.testing.assert_allclose", "treegp_test_helper.make_1d_grf", "numpy.diag", "numpy.exp", "treegp_test_helper.get_correlation_length_matrix", "numpy.array", "numpy.linalg.inv", "numpy.max", "...
[((3968, 4014), 'treegp_test_helper.get_correlation_length_matrix', 'get_correlation_length_matrix', (['size[n]', 'g1', 'g2'], {}), '(size[n], g1, g2)\n', (3997, 4014), False, 'from treegp_test_helper import get_correlation_length_matrix\n'), ((4030, 4046), 'numpy.linalg.inv', 'np.linalg.inv', (['L'], {}), '(L)\n', (40...
#!/usr/bin/env python # *-* coding: utf-8 *-* from os import path from setuptools import setup, find_packages with open('VERSION') as v_file: version = v_file.read().strip() def read(fname): return open(path.join(path.dirname(__file__), fname)).read() setup( name='vbox_sdk', packages=find_packages...
[ "os.path.dirname", "setuptools.find_packages" ]
[((307, 338), 'setuptools.find_packages', 'find_packages', ([], {'exclude': "['docs']"}), "(exclude=['docs'])\n", (320, 338), False, 'from setuptools import setup, find_packages\n'), ((225, 247), 'os.path.dirname', 'path.dirname', (['__file__'], {}), '(__file__)\n', (237, 247), False, 'from os import path\n')]
import numpy as np import pandas as pd from collections import OrderedDict import tabulate del(tabulate.LATEX_ESCAPE_RULES[u'$']) del(tabulate.LATEX_ESCAPE_RULES[u'\\']) del(tabulate.LATEX_ESCAPE_RULES[u'{']) del(tabulate.LATEX_ESCAPE_RULES[u'}']) del(tabulate.LATEX_ESCAPE_RULES[u'^']) data = {} scens = ["SPEAR-SWV"...
[ "numpy.argmin", "tabulate.tabulate" ]
[((4159, 4228), 'tabulate.tabulate', 'tabulate.tabulate', ([], {'tabular_data': 'table_data', 'tablefmt': '"""latex_booktabs"""'}), "(tabular_data=table_data, tablefmt='latex_booktabs')\n", (4176, 4228), False, 'import tabulate\n'), ((2679, 2696), 'numpy.argmin', 'np.argmin', (['rmse_I'], {}), '(rmse_I)\n', (2688, 2696...
import numpy as np from utils import Data import keras.optimizers from keras.callbacks import LambdaCallback, ModelCheckpoint from keras.models import Sequential from keras.layers import Dense, Embedding, GlobalMaxPooling1D, CuDNNLSTM, Dropout, BatchNormalization, Activation, LSTM import getopt import sys from sklearn....
[ "keras.layers.CuDNNLSTM", "getopt.getopt", "keras.callbacks.ModelCheckpoint", "sklearn.utils.shuffle", "keras.models.Sequential", "utils.Data.Data", "keras.layers.Activation", "sys.exit", "keras.layers.Dense", "keras.layers.BatchNormalization", "keras.layers.Dropout" ]
[((1049, 1105), 'utils.Data.Data', 'Data.Data', (['seq_len'], {'hm_char': 'num_char', 'which_text': '"""bible"""'}), "(seq_len, hm_char=num_char, which_text='bible')\n", (1058, 1105), False, 'from utils import Data\n'), ((1354, 1366), 'keras.models.Sequential', 'Sequential', ([], {}), '()\n', (1364, 1366), False, 'from...
# 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under t...
[ "users_pb2.User", "threading.Lock", "os.environ.get", "time.sleep", "users_pb2.AddUserResponse", "random.randint" ]
[((4843, 4877), 'os.environ.get', 'os.environ.get', (['"""GRPC_PORT"""', '(50051)'], {}), "('GRPC_PORT', 50051)\n", (4857, 4877), False, 'import os\n'), ((1548, 1574), 'random.randint', 'random.randint', (['(1)', '_MAX_ID'], {}), '(1, _MAX_ID)\n', (1562, 1574), False, 'import random\n'), ((1921, 1937), 'threading.Lock'...
#!/usr/bin/python3 import os import sys file_dir = os.path.dirname(__file__) sys.path.append(file_dir) import io import logging import time import traceback from flask import Flask, render_template, send_file, Response from threading import Condition, Lock from enums import Position from mymemcache import MemCache...
[ "logging.basicConfig", "flask.render_template", "camera_emulation.PiCamera", "flask.Flask", "threading.Lock", "io.BytesIO", "logging.info", "mymemcache.MemCache", "servo.Servo", "picamera.PiCamera", "os.path.dirname", "sys.exc_info", "traceback.print_tb", "time.sleep", "camera_emulation....
[((53, 78), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (68, 78), False, 'import os\n'), ((79, 104), 'sys.path.append', 'sys.path.append', (['file_dir'], {}), '(file_dir)\n', (94, 104), False, 'import sys\n'), ((421, 460), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'loggi...
"""Storage registry.""" from typing import Type from mode.utils.imports import FactoryMapping from faust.types import StoreT __all__ = ['by_name', 'by_url'] STORES: FactoryMapping[Type[StoreT]] = FactoryMapping( memory='faust.stores.memory:Store', rocksdb='faust.stores.rocksdb:Store', ) STORES.include_setupto...
[ "mode.utils.imports.FactoryMapping" ]
[((198, 291), 'mode.utils.imports.FactoryMapping', 'FactoryMapping', ([], {'memory': '"""faust.stores.memory:Store"""', 'rocksdb': '"""faust.stores.rocksdb:Store"""'}), "(memory='faust.stores.memory:Store', rocksdb=\n 'faust.stores.rocksdb:Store')\n", (212, 291), False, 'from mode.utils.imports import FactoryMapping...
# Copyright (C) 2016 <NAME> <<EMAIL>> # Released under the terms of the BSD license. import os import re import sys import click import string import datetime import subprocess from . import __version__ from .remote import get_remote from .crypto import fernet_encrypt, fernet_decrypt, sha512_hash, digest from .forma...
[ "click.argument", "re.compile", "click.group", "click.option", "os.rename", "os.path.splitext", "os.path.isfile", "click.echo", "datetime.datetime.now", "os.path.dirname", "os.path.basename", "subprocess.call", "sys.exit", "weasyprint.HTML", "re.sub", "weasyprint.CSS", "os.remove" ]
[((1098, 1138), 'click.group', 'click.group', ([], {'invoke_without_command': '(True)'}), '(invoke_without_command=True)\n', (1109, 1138), False, 'import click\n'), ((1140, 1216), 'click.option', 'click.option', (['"""-v"""', '"""--version"""'], {'is_flag': '(True)', 'help': '"""Print program version."""'}), "('-v', '-...
# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-12-17 19:55 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('App', '0006_goods_user'), ] operations = [ migrations.RemoveField( mode...
[ "django.db.migrations.RemoveField" ]
[((280, 342), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""user"""', 'name': '"""phone_number"""'}), "(model_name='user', name='phone_number')\n", (302, 342), False, 'from django.db import migrations\n')]
#!/usr/bin/python # -*- coding: utf-8 -*- import sublime import sublime_plugin import LiveReload import webbrowser import os class LiveReloadTest(sublime_plugin.ApplicationCommand): def run(self): path = os.path.join(sublime.packages_path(), 'LiveReload', 'web') file_name = os.path.join(path, 't...
[ "sublime.active_window", "LiveReload.Plugin.togglePlugin", "os.path.join", "LiveReload.Plugin.listPlugins", "webbrowser.open_new_tab", "sublime.packages_path" ]
[((299, 330), 'os.path.join', 'os.path.join', (['path', '"""test.html"""'], {}), "(path, 'test.html')\n", (311, 330), False, 'import os\n'), ((339, 385), 'webbrowser.open_new_tab', 'webbrowser.open_new_tab', (["('file://' + file_name)"], {}), "('file://' + file_name)\n", (362, 385), False, 'import webbrowser\n'), ((471...
# Advent of Code 2019, Day 6 # (c) blu3r4y import networkx as nx from aocd.models import Puzzle from funcy import print_calls @print_calls def part1(graph): checksum = 0 for target in graph.nodes: checksum += nx.shortest_path_length(graph, "COM", target) return checksum @print_calls def part2(...
[ "networkx.shortest_path_length", "aocd.models.Puzzle" ]
[((530, 554), 'aocd.models.Puzzle', 'Puzzle', ([], {'year': '(2019)', 'day': '(6)'}), '(year=2019, day=6)\n', (536, 554), False, 'from aocd.models import Puzzle\n'), ((229, 274), 'networkx.shortest_path_length', 'nx.shortest_path_length', (['graph', '"""COM"""', 'target'], {}), "(graph, 'COM', target)\n", (252, 274), T...
from decimal import Decimal import json import logging from django.shortcuts import render from django.core.serializers.json import DjangoJSONEncoder from django.http import (HttpResponse) from django.views.generic import View from rest_framework import status from rest_framework.views import APIView from api.models i...
[ "django.shortcuts.render", "logging.getLogger", "json.dumps", "api.api.SpotsViewSet", "decimal.Decimal" ]
[((1887, 1972), 'django.shortcuts.render', 'render', (['request'], {'template_name': '"""frontend/index.html"""', 'context': 'self.response_data'}), "(request, template_name='frontend/index.html', context=self.response_data\n )\n", (1893, 1972), False, 'from django.shortcuts import render\n'), ((837, 851), 'api.api....
# -*- coding: utf-8 -*- """ .. module:: openzwave.group This file is part of **python-openzwave** project https://github.com/OpenZWave/python-openzwave. :platform: Unix, Windows, MacOS X :sinopsis: openzwave API .. moduleauthor: bibi21000 aka <NAME> <<EMAIL>> License : GPL(v3) **python-openzwave** is free s...
[ "logging.getLogger", "openzwave.object.ZWaveObject.__init__", "logging.NullHandler" ]
[((1268, 1298), 'logging.getLogger', 'logging.getLogger', (['"""openzwave"""'], {}), "('openzwave')\n", (1285, 1298), False, 'import logging\n'), ((1317, 1330), 'logging.NullHandler', 'NullHandler', ([], {}), '()\n', (1328, 1330), False, 'from logging import NullHandler\n'), ((1871, 1919), 'openzwave.object.ZWaveObject...
""" (C) Copyright 2021 IBM Corp. 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 d...
[ "torch.mul", "numpy.array", "fuse.utils.utils_hierarchical_dict.FuseUtilsHierarchicalDict.get", "torch.nn.functional.interpolate", "torch.nn.functional.max_pool2d", "torch.zeros" ]
[((1137, 1158), 'numpy.array', 'np.array', (['input.shape'], {}), '(input.shape)\n', (1145, 1158), True, 'import numpy as np\n'), ((1224, 1257), 'torch.zeros', 'torch.zeros', (['shape'], {'device': 'device'}), '(shape, device=device)\n', (1235, 1257), False, 'import torch\n'), ((4650, 4707), 'fuse.utils.utils_hierarchi...
from base import assert_case def test_script_pipeline(): assert_case('scm_pipeline')
[ "base.assert_case" ]
[((63, 90), 'base.assert_case', 'assert_case', (['"""scm_pipeline"""'], {}), "('scm_pipeline')\n", (74, 90), False, 'from base import assert_case\n')]
from typing import Optional import tensorflow as tf import tensorflow.keras.backend as K from tensorflow.keras import Model from tensorflow.keras.layers import Layer import numpy as np import rinokeras as rk from rinokeras.layers import WeightNormDense as Dense from rinokeras.layers import LayerNorm, Stack class Ra...
[ "tensorflow.keras.backend.shape", "numpy.random.random", "numpy.asarray", "numpy.isin", "numpy.max", "rinokeras.utils.convert_sequence_length_to_sequence_mask", "numpy.cumsum", "tensorflow.keras.backend.random_uniform", "tensorflow.py_func", "tensorflow.cast", "numpy.arange" ]
[((1368, 1383), 'tensorflow.keras.backend.shape', 'K.shape', (['inputs'], {}), '(inputs)\n', (1375, 1383), True, 'import tensorflow.keras.backend as K\n'), ((2467, 2517), 'tensorflow.cast', 'tf.cast', (['(token_bert_mask & bert_mask)', 'inputs.dtype'], {}), '(token_bert_mask & bert_mask, inputs.dtype)\n', (2474, 2517),...
from django.shortcuts import render, redirect from django.http import HttpResponse from .models import BoardMember # Post 추가 from django.core import serializers from rest_framework.decorators import api_view, permission_classes, authentication_classes from rest_framework.permissions import IsAuthenticated # 로그인여부 확인 f...
[ "django.shortcuts.render", "rest_framework.decorators.permission_classes", "django.http.HttpResponse", "rest_framework.decorators.authentication_classes", "django.shortcuts.redirect", "django.core.serializers.serialize", "rest_framework.decorators.api_view" ]
[((1197, 1214), 'rest_framework.decorators.api_view', 'api_view', (["['GET']"], {}), "(['GET'])\n", (1205, 1214), False, 'from rest_framework.decorators import api_view, permission_classes, authentication_classes\n'), ((1246, 1284), 'rest_framework.decorators.permission_classes', 'permission_classes', (['(IsAuthenticat...
#!/usr/bin/python2.6 # Copyright 2011 Google 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 ...
[ "logging.basicConfig", "os.path.join", "unittest.main", "os.path.isdir", "ibmperf.HardwarePerformanceCounter", "random.randint" ]
[((12278, 12318), 'logging.basicConfig', 'logging.basicConfig', ([], {'level': 'logging.DEBUG'}), '(level=logging.DEBUG)\n', (12297, 12318), False, 'import logging\n'), ((12321, 12336), 'unittest.main', 'unittest.main', ([], {}), '()\n', (12334, 12336), False, 'import unittest\n'), ((6431, 6456), 'random.randint', 'ran...
#!/usr/bin/env python3 from dev_aberto import hello from babel.dates import format_datetime from datetime import datetime import gettext gettext.install('hello', localedir='locale') if __name__ == '__main__': date, name = hello() date = format_datetime(datetime.strptime(date, '%Y-%m-%dT%H:%M:%SZ')) print(...
[ "datetime.datetime.strptime", "gettext.install", "dev_aberto.hello" ]
[((138, 182), 'gettext.install', 'gettext.install', (['"""hello"""'], {'localedir': '"""locale"""'}), "('hello', localedir='locale')\n", (153, 182), False, 'import gettext\n'), ((228, 235), 'dev_aberto.hello', 'hello', ([], {}), '()\n', (233, 235), False, 'from dev_aberto import hello\n'), ((263, 308), 'datetime.dateti...
# from __future__ import absolute_import # from __future__ import division # from __future__ import print_function # import _init_paths # from opts import opts import os import json import cv2 import collections def xychange(a, w, h): ans = [(a[0]+a[2]/2)/w, (a[1]+a[3]/2)/h, a[2]/w, a[3]/h] ret...
[ "json.load", "collections.defaultdict", "os.path.join", "cv2.imread" ]
[((590, 619), 'collections.defaultdict', 'collections.defaultdict', (['list'], {}), '(list)\n', (613, 619), False, 'import collections\n'), ((628, 657), 'collections.defaultdict', 'collections.defaultdict', (['list'], {}), '(list)\n', (651, 657), False, 'import collections\n'), ((474, 491), 'json.load', 'json.load', ([...
import setuptools with open("README.md", "r") as fh: long_description = fh.read() setuptools.setup( name="iam-permissions-guardrails", # Replace with your own username version="0.0.3", author="<NAME>", author_email="<EMAIL>", description="IAM Permissions Guardrails module", long_descripti...
[ "setuptools.find_packages" ]
[((491, 517), 'setuptools.find_packages', 'setuptools.find_packages', ([], {}), '()\n', (515, 517), False, 'import setuptools\n')]
#!/usr/bin/env python # -*- encoding: utf-8 -*- import os import sys from scrapy.cmdline import execute if __name__ == '__main__': sys.path.append(os.path.abspath(__file__)) # execute(['scrapy', 'crawl', 'XiLa']) execute(['scrapy', 'crawl', 'Kuai'])
[ "os.path.abspath", "scrapy.cmdline.execute" ]
[((228, 264), 'scrapy.cmdline.execute', 'execute', (["['scrapy', 'crawl', 'Kuai']"], {}), "(['scrapy', 'crawl', 'Kuai'])\n", (235, 264), False, 'from scrapy.cmdline import execute\n'), ((154, 179), 'os.path.abspath', 'os.path.abspath', (['__file__'], {}), '(__file__)\n', (169, 179), False, 'import os\n')]
from django.utils.translation import ugettext_lazy as _ from django.contrib import messages from django.contrib.auth import logout as logout_user from django.contrib.auth.decorators import login_required from django.contrib.sites.models import Site from django.shortcuts import render, redirect, get_object_or_404 from ...
[ "django.shortcuts.render", "django.utils.translation.ugettext_lazy", "events.models.profiles.Team.objects.filter", "events.forms.OrganizationForm", "django.shortcuts.get_object_or_404", "datetime.datetime.now", "django.shortcuts.redirect", "events.forms.NewCommonEventForm", "events.models.events.Com...
[((919, 965), 'django.shortcuts.get_object_or_404', 'get_object_or_404', (['Organization'], {'slug': 'org_slug'}), '(Organization, slug=org_slug)\n', (936, 965), False, 'from django.shortcuts import render, redirect, get_object_or_404\n'), ((1585, 1644), 'django.shortcuts.render', 'render', (['request', '"""get_togethe...
import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg import glob as glb import os import cv2 import pickle ################################################################################################################# def create_new_folder (new_dir): if not os.path.exists(new_dir...
[ "numpy.copy", "os.path.exists", "pickle.dump", "os.makedirs", "cv2.getPerspectiveTransform", "matplotlib.image.imread", "numpy.float32", "glob.glob" ]
[((1438, 1457), 'glob.glob', 'glb.glob', (['"""./*.jpg"""'], {}), "('./*.jpg')\n", (1446, 1457), True, 'import glob as glb\n'), ((878, 890), 'numpy.copy', 'np.copy', (['src'], {}), '(src)\n', (885, 890), True, 'import numpy as np\n'), ((1066, 1103), 'cv2.getPerspectiveTransform', 'cv2.getPerspectiveTransform', (['src',...
from django.db.models import Avg, Count from prof_education.regions.models import Region from prof_education.students.models import Student from ..column_sets import ColumnFormats, ColumnSet, ColumnSetItem from ..columns import AggrColumn, IntegerAggrColumn from ..filters import ModelChoicesFilter, NumberFilter from ...
[ "django.db.models.Count", "prof_education.students.models.Student.objects.with_age", "django.db.models.Avg" ]
[((728, 738), 'django.db.models.Count', 'Count', (['"""*"""'], {}), "('*')\n", (733, 738), False, 'from django.db.models import Avg, Count\n'), ((824, 834), 'django.db.models.Avg', 'Avg', (['"""age"""'], {}), "('age')\n", (827, 834), False, 'from django.db.models import Avg, Count\n'), ((1705, 1715), 'django.db.models....
#!/usr/bin/env python3 """Application for managing the PyLith build environment. """ import sys import os import argparse import subprocess import configparser class Package(): """Base class for software package. """ NAME = None CLONE_RECURSIVE = False def __init__(self, config): if not ...
[ "os.path.exists", "configparser.ConfigParser", "argparse.ArgumentParser", "subprocess.run", "os.path.join", "os.path.isfile" ]
[((1152, 1211), 'os.path.join', 'os.path.join', (["self.base['build_dir']", 'build_arch', 'self.NAME'], {}), "(self.base['build_dir'], build_arch, self.NAME)\n", (1164, 1211), False, 'import os\n'), ((1322, 1372), 'os.path.join', 'os.path.join', (["self.base['install_dir']", 'build_arch'], {}), "(self.base['install_dir...
from django import forms from django.forms import ModelForm, CharField from ckeditor.widgets import CKEditorWidget from .models import URP, Application class URPCreateForm(ModelForm): """Form for URP creation""" description = CharField(widget=CKEditorWidget()) class Meta: model = URP fiel...
[ "django.forms.ChoiceField", "ckeditor.widgets.CKEditorWidget", "django.forms.CharField" ]
[((748, 759), 'django.forms.CharField', 'CharField', ([], {}), '()\n', (757, 759), False, 'from django.forms import ModelForm, CharField\n'), ((954, 1009), 'django.forms.ChoiceField', 'forms.ChoiceField', ([], {'widget': 'forms.Select', 'choices': 'ACTIONS'}), '(widget=forms.Select, choices=ACTIONS)\n', (971, 1009), Fa...
import logging from collections import OrderedDict from copy import deepcopy from datetime import datetime, timedelta from pathlib import Path from time import sleep import cv2 import numpy as np import pandas as pd from PyQt5.QtCore import Qt, QTimer, pyqtSlot from PyQt5.QtGui import QColor, QImage, QPixmap from PyQt...
[ "cv2.rectangle", "PyQt5.QtCore.QTimer.singleShot", "datetime.datetime.strptime", "pathlib.Path", "PyQt5.QtGui.QColor", "PyQt5.QtCore.pyqtSlot", "PyQt5.QtGui.QImage", "PyQt5.QtWidgets.QMessageBox.information", "numpy.array", "PyQt5.QtWidgets.QMessageBox.question", "PyQt5.QtWidgets.QMessageBox.abo...
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from math import floor from math import ceil hours_needed = int(input()) days_for_work = int(input()) overtime_workers = int(input()) normal_shift = 8 learn_time = days_for_work - days_for_work * 10 / 100 hours_for_work = learn_time * normal_shift overtime = overtime_workers * (2 * days_for_work) all_time = hours_for...
[ "math.floor" ]
[((398, 413), 'math.floor', 'floor', (['all_time'], {}), '(all_time)\n', (403, 413), False, 'from math import floor\n')]
"""Test the :class:`~polymatheia.data.reader.LocalReader`.""" import os import pytest from lxml.etree import XMLSyntaxError from polymatheia.data.reader import XMLReader def test_xml_reader(): """Test that the XML local reading works.""" count = 0 for record in XMLReader('tests/fixtures/xml_reader_test'...
[ "polymatheia.data.reader.XMLReader", "pytest.raises", "os.unlink" ]
[((278, 321), 'polymatheia.data.reader.XMLReader', 'XMLReader', (['"""tests/fixtures/xml_reader_test"""'], {}), "('tests/fixtures/xml_reader_test')\n", (287, 321), False, 'from polymatheia.data.reader import XMLReader\n'), ((819, 862), 'polymatheia.data.reader.XMLReader', 'XMLReader', (['"""tests/fixtures/xml_reader_te...
from app.infrastructure.repositories.camera.capture import CameraCapture def main(): CameraCapture().run()
[ "app.infrastructure.repositories.camera.capture.CameraCapture" ]
[((91, 106), 'app.infrastructure.repositories.camera.capture.CameraCapture', 'CameraCapture', ([], {}), '()\n', (104, 106), False, 'from app.infrastructure.repositories.camera.capture import CameraCapture\n')]
from fipu_face import retina_face as rf import binascii import time from fipu_face.utils import * from fipu_face.img_utils import * from exceptions.image_exception import * from fipu_face.img_config import * from fipu_face.segmentation.bg_segmentation import get_non_white_bg_pct # from fipu_face.facial_landmarks.emoti...
[ "fipu_face.segmentation.bg_segmentation.get_non_white_bg_pct" ]
[((8062, 8089), 'fipu_face.segmentation.bg_segmentation.get_non_white_bg_pct', 'get_non_white_bg_pct', (['frame'], {}), '(frame)\n', (8082, 8089), False, 'from fipu_face.segmentation.bg_segmentation import get_non_white_bg_pct\n'), ((8524, 8551), 'fipu_face.segmentation.bg_segmentation.get_non_white_bg_pct', 'get_non_w...
import numpy as np from paz.abstract import Processor from paz.backend.keypoints import project_points3D from paz.backend.keypoints import build_cube_points3D from paz.backend.image import draw_cube from paz.processors import DrawBoxes3D class DrawBoxes3D(Processor): def __init__(self, camera, class_to_dimensions...
[ "paz.backend.keypoints.project_points3D", "paz.backend.keypoints.build_cube_points3D", "paz.backend.image.draw_cube" ]
[((1404, 1451), 'paz.backend.keypoints.project_points3D', 'project_points3D', (['points3D', 'pose6D', 'self.camera'], {}), '(points3D, pose6D, self.camera)\n', (1420, 1451), False, 'from paz.backend.keypoints import project_points3D\n'), ((1505, 1557), 'paz.backend.image.draw_cube', 'draw_cube', (['image', 'points2D'],...
import scrapy from scrapy.spiders import CrawlSpider, Rule from scrapy.linkextractors import LinkExtractor from emails.items import ImageItem class EmailTemplateSpire(CrawlSpider): name = "email" start_urls = [ 'https://reallygoodemails.com/category/inaugural/welcome/', ] rules = [ R...
[ "scrapy.linkextractors.LinkExtractor" ]
[((324, 527), 'scrapy.linkextractors.LinkExtractor', 'LinkExtractor', ([], {'allow': "('inaugural\\\\/welcome\\\\/[a-z-]+\\\\/', 'inaugural\\\\/welcome\\\\/page/\\\\D+\\\\/')", 'unique': '(True)', 'allow_domains': '"""reallygoodemails.com"""', 'restrict_css': "('.entry_hover', '.page-numbers')"}), "(allow=('inaugural\\...
from matplotlib import pyplot as plt from collections import deque from threading import Lock, Thread import myo import numpy as np import serial import csv import re import time from datetime import datetime ## serial port and rate for reading F/T sensor data SERIAL_PORT = 'COM1' SERIAL_RATE = 1152...
[ "csv.DictWriter", "collections.deque", "threading.Lock", "time.sleep", "datetime.datetime.now", "myo.Hub", "serial.Serial", "myo.init", "re.sub", "time.time" ]
[((804, 857), 'myo.init', 'myo.init', ([], {'sdk_path': '"""E:\\\\sensors\\\\myo-sdk-win-0.9.0\\\\"""'}), "(sdk_path='E:\\\\sensors\\\\myo-sdk-win-0.9.0\\\\')\n", (812, 857), False, 'import myo\n'), ((899, 908), 'myo.Hub', 'myo.Hub', ([], {}), '()\n', (906, 908), False, 'import myo\n'), ((952, 991), 'serial.Serial', 's...
"""JUnit metric collector.""" from datetime import datetime from dateutil.parser import parse from base_collectors import SourceUpToDatenessCollector, XMLFileSourceCollector from collector_utilities.functions import parse_source_response_xml from collector_utilities.type import Response class JUnitSourceUpToDatene...
[ "datetime.datetime.now", "collector_utilities.functions.parse_source_response_xml" ]
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# -*- coding: utf-8 -*- # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors # License: GNU General Public License v3. See license.txt from __future__ import unicode_literals import frappe from frappe.model.document import Document from erpnext.accounts.doctype.sales_taxes_and_charges_template.sales_ta...
[ "frappe.db.get_value", "erpnext.accounts.doctype.sales_taxes_and_charges_template.sales_taxes_and_charges_template.valdiate_taxes_and_charges_template" ]
[((464, 505), 'erpnext.accounts.doctype.sales_taxes_and_charges_template.sales_taxes_and_charges_template.valdiate_taxes_and_charges_template', 'valdiate_taxes_and_charges_template', (['self'], {}), '(self)\n', (499, 505), False, 'from erpnext.accounts.doctype.sales_taxes_and_charges_template.sales_taxes_and_charges_te...
from django.db import models from django.utils.translation import gettext_lazy as _ from wagtail.admin.edit_handlers import FieldPanel, TabbedInterface, ObjectList from .state import StateCampaignPageBase from areas.widgets.place_widgets import PlaceChooser from offices.widgets import OfficeTypeChooser, LocalOfficeCh...
[ "offices.widgets.OfficeTypeChooser", "django.db.models.ForeignKey", "django.utils.translation.gettext_lazy", "offices.widgets.LocalOfficeChooser", "areas.widgets.place_widgets.PlaceChooser", "wagtail.admin.edit_handlers.ObjectList" ]
[((397, 492), 'django.db.models.ForeignKey', 'models.ForeignKey', (['"""areas.Place"""'], {'on_delete': 'models.PROTECT', 'related_name': '"""local_campaigns"""'}), "('areas.Place', on_delete=models.PROTECT, related_name=\n 'local_campaigns')\n", (414, 492), False, 'from django.db import models\n'), ((921, 932), 'dj...
import RPi.GPIO as GPIO import time from PololuDriver import PololuDriver res = 1.8 step_amount = 1 class Stepper(): def __init__(self): self.Motor1 = PololuDriver(dir_pin=26, step_pin=20, enable_pin=21) def step_num(self, num, dir='forward'): self.Motor1.TurnStep(Dir=dir, steps=num, stepdela...
[ "PololuDriver.PololuDriver" ]
[((165, 217), 'PololuDriver.PololuDriver', 'PololuDriver', ([], {'dir_pin': '(26)', 'step_pin': '(20)', 'enable_pin': '(21)'}), '(dir_pin=26, step_pin=20, enable_pin=21)\n', (177, 217), False, 'from PololuDriver import PololuDriver\n')]
import hyperopt import csv import json import traceback import os.path from pprint import pprint import datetime import time import numpy.random import threading import queue import copy import tempfile import random import subprocess import concurrent.futures import tempfile import functools import math import atexit ...
[ "tempfile.TemporaryDirectory", "hypermax.algorithms.atpe_optimizer.ATPEOptimizer", "hypermax.algorithms.tpe_optimizer.TPEOptimizer", "csv.DictReader", "hypermax.hyperparameter.Hyperparameter", "subprocess.run", "hypermax.algorithms.random_search_optimizer.RandomSearchOptimizer", "time.sleep", "datet...
[((1155, 1183), 'hypermax.configuration.Configuration', 'Configuration', (['configuration'], {}), '(configuration)\n', (1168, 1183), False, 'from hypermax.configuration import Configuration\n'), ((1487, 1517), 'hypermax.results_analyzer.ResultsAnalyzer', 'ResultsAnalyzer', (['configuration'], {}), '(configuration)\n', ...
import doddq.helpers as helpers import numpy as np from qiskit import QuantumCircuit, QuantumRegister from qiskit.circuit.library import HGate, PhaseGate, QFT from typing import Callable class GeneralizedQPEInfo: def __init__(self, qr_eval: QuantumRegister, qr_state: QuantumRegister, circuit: QuantumCircuit) -...
[ "qiskit.circuit.library.PhaseGate", "qiskit.circuit.library.QFT", "qiskit.circuit.library.HGate", "doddq.helpers.rand_gaussian_array", "doddq.helpers.time_evolution_circuit", "qiskit.QuantumRegister", "qiskit.QuantumCircuit" ]
[((1836, 1867), 'qiskit.QuantumCircuit', 'QuantumCircuit', (['num_eval_qubits'], {}), '(num_eval_qubits)\n', (1850, 1867), False, 'from qiskit import QuantumCircuit, QuantumRegister\n'), ((2853, 2884), 'qiskit.QuantumCircuit', 'QuantumCircuit', (['num_eval_qubits'], {}), '(num_eval_qubits)\n', (2867, 2884), False, 'fro...
import numpy as np import pandas as pd from .scm import SCM class DataGenerator: def generate(self, scm: SCM, n_samples: int, seed: int): pass class SimpleDataGenerator(DataGenerator): def generate(self, scm: SCM, n_samples: int, seed: int): """ Generates date according to the given...
[ "numpy.random.normal", "numpy.zeros", "numpy.random.seed", "pandas.DataFrame.from_dict" ]
[((653, 673), 'numpy.random.seed', 'np.random.seed', (['seed'], {}), '(seed)\n', (667, 673), True, 'import numpy as np\n'), ((2057, 2085), 'pandas.DataFrame.from_dict', 'pd.DataFrame.from_dict', (['data'], {}), '(data)\n', (2079, 2085), True, 'import pandas as pd\n'), ((786, 805), 'numpy.zeros', 'np.zeros', (['n_sample...
import cv2 image = cv2.imread("database-tea-cake/1018-1-a.jpg") cv2.imshow("palm",image) #to view the palm in python cv2.waitKey(0) gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) edges = cv2.Canny(gray,60,65,apertureSize = 3) cv2.imshow("edges",edges) cv2.waitKey(0) edges = cv2.bitwise_not(edges) cv2.imshow("change ...
[ "cv2.imwrite", "cv2.imshow", "cv2.addWeighted", "cv2.cvtColor", "cv2.bitwise_not", "cv2.Canny", "cv2.waitKey", "cv2.imread" ]
[((20, 64), 'cv2.imread', 'cv2.imread', (['"""database-tea-cake/1018-1-a.jpg"""'], {}), "('database-tea-cake/1018-1-a.jpg')\n", (30, 64), False, 'import cv2\n'), ((65, 90), 'cv2.imshow', 'cv2.imshow', (['"""palm"""', 'image'], {}), "('palm', image)\n", (75, 90), False, 'import cv2\n'), ((118, 132), 'cv2.waitKey', 'cv2....
#!/usr/bin/env python3 import numpy from rl.agents.policy.policy_agent import PolicyAgent class Random(PolicyAgent): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) def act(self, state: numpy.ndarray, available_actions: numpy.ndarray): """ Uses a uniform rando...
[ "numpy.random.choice" ]
[((644, 682), 'numpy.random.choice', 'numpy.random.choice', (['available_actions'], {}), '(available_actions)\n', (663, 682), False, 'import numpy\n')]
import PP_Calculator from pppredict.predict import predict from util import str_to_dict, mod_convert, add_spaces from re import findall from lang_init import Initialization from get_local import get_sample import users import maps class Commands: def __init__(self): pass ''' +====-----------==------...
[ "lang_init.Initialization", "util.add_spaces", "users.Users.getStat", "maps.Maps.addMap", "get_local.get_sample", "maps.Maps.getLastNP", "users.Users.addMapToPushed", "users.Users.isPushMap", "maps.Maps.dropMap", "PP_Calculator.PP_Calculator", "maps.Maps.getTop", "pppredict.predict.predict.Pre...
[((4395, 4513), 'PP_Calculator.PP_Calculator', 'PP_Calculator.PP_Calculator', (["arg_list['combo']", 'beatmap_ID', "arg_list['mods']", '(1)', "arg_list['acc']", "arg_list['miss']"], {}), "(arg_list['combo'], beatmap_ID, arg_list['mods'],\n 1, arg_list['acc'], arg_list['miss'])\n", (4422, 4513), False, 'import PP_Cal...
# --------------------------------------------------- # Intermediate Python - Loops # 22 set 2020 # VNTBJR # --------------------------------------------------- # # Load packages library(reticulate) # while loop ------------------------------------------- # Basic while loop # Initialize offset offset = 8 # Code...
[ "numpy.array", "numpy.nditer", "pandas.read_csv" ]
[((2262, 2302), 'pandas.read_csv', 'pd.read_csv', (['"""Datasets/MLB.csv"""'], {'sep': '""","""'}), "('Datasets/MLB.csv', sep=',')\n", (2273, 2302), True, 'import pandas as pd\n'), ((2349, 2374), 'numpy.array', 'np.array', (["mlb[['Height']]"], {}), "(mlb[['Height']])\n", (2357, 2374), True, 'import numpy as np\n'), ((...
from unittest import TestCase import sys sys.path.append("./AerialNavigation/rocket_powered_landing/") from AerialNavigation.rocket_powered_landing import rocket_powered_landing as m print(__file__) class Test(TestCase): def test1(self): m.show_animation = False m.main()
[ "AerialNavigation.rocket_powered_landing.rocket_powered_landing.main", "sys.path.append" ]
[((42, 103), 'sys.path.append', 'sys.path.append', (['"""./AerialNavigation/rocket_powered_landing/"""'], {}), "('./AerialNavigation/rocket_powered_landing/')\n", (57, 103), False, 'import sys\n'), ((288, 296), 'AerialNavigation.rocket_powered_landing.rocket_powered_landing.main', 'm.main', ([], {}), '()\n', (294, 296)...
# -*- coding: utf-8 -*- # Part of Odoo. See LICENSE file for full copyright and licensing details. from odoo import http, _ from odoo.http import request from odoo.addons.website_sale.controllers.main import WebsiteSale from odoo.exceptions import UserError class WebsiteSaleDelivery(WebsiteSale): @http.route(['...
[ "odoo._", "odoo.http.request.website.sale_get_order", "odoo.http.route", "odoo.http.request.env.user.has_group", "odoo.http.request.redirect", "odoo.http.request.env.ref" ]
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# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. import functools import gzip import hashlib import json import logging import os import random import warnings ...
[ "logging.getLogger", "numpy.prod", "gzip.open", "dataclasses.dataclass", "torch.from_numpy", "numpy.array", "numpy.isfinite", "random.Random", "numpy.flatnonzero", "os.path.normpath", "pytorch3d.io.IO", "warnings.warn", "dataclasses.field", "torch.ones_like", "torch.clamp", "PIL.Image....
[((908, 935), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (925, 935), False, 'import logging\n'), ((1046, 1065), 'dataclasses.dataclass', 'dataclass', ([], {'eq': '(False)'}), '(eq=False)\n', (1055, 1065), False, 'from dataclasses import dataclass, field\n'), ((30535, 30567), 'functool...