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from django.core.management.base import CommandError from django.db import models from django.utils.translation import ugettext_lazy as _ class DjCrontabSchedule(models.Model): minute = models.CharField(max_length=64, default="*") hour = models.CharField(max_length=64, default="*") day_of_week = models.Ch...
[ "django.utils.translation.ugettext_lazy", "django.db.models.BooleanField", "django.db.models.PositiveIntegerField", "django.db.models.SmallIntegerField", "django.db.models.DateTimeField", "django.db.models.CharField" ]
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import time import os import pickle import argparse import multiprocessing as mp from multiprocessing import Pool import numpy as np from single_peaked_bandits.solvers import OptimalSolver from single_peaked_bandits.helpers import ( get_reward_for_policy, ) from single_peaked_bandits.constants import RESULTS_FOLD...
[ "argparse.ArgumentParser", "os.makedirs", "single_peaked_bandits.helpers.get_reward_for_policy", "make_plots.make_plots", "os.path.join", "multiprocessing.get_context", "numpy.linspace", "single_peaked_bandits.solvers.OptimalSolver", "time.time", "numpy.arange" ]
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from django.urls import path from . import views app_name = 'posts' urlpatterns = [ path('create/<int:pk>/', views.create_post, name='create_post'), ]
[ "django.urls.path" ]
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#### # Author: <NAME> # Last Modified: Sept 1st, 2020 # About: # This script launches a new AWS EC2 instance with a running base Django application. #### import boto3 as bt import botocore as bc import paramiko import time client = bt.client('ec2') resource = bt.resource('ec2') key_name = 'ec2' max_ssh_attempts = 5...
[ "boto3.client", "paramiko.AutoAddPolicy", "paramiko.RSAKey.from_private_key_file", "time.sleep", "boto3.resource", "paramiko.SSHClient" ]
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import asyncio import discord from discord.ext import commands import get_link client = commands.Bot(command_prefix='.') # Sets the prefix to listen. async def post_tasks(): # background method to send the data extracted in get_link.py await client.wait_until_ready() channel = client.get_channel(6806...
[ "get_link.get_information_main", "discord.ext.commands.Bot", "discord.Colour.blurple", "get_link.get_html", "asyncio.sleep" ]
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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse from alipay.aop.api.domain.KnCertSendOrderDetail import KnCertSendOrderDetail class AlipayMarketingCampaignCertQueryResponse(AlipayResponse): def __init__(self): super(AlipayMarket...
[ "alipay.aop.api.domain.KnCertSendOrderDetail.KnCertSendOrderDetail.from_alipay_dict" ]
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import os import torch as t from utils.config import opt from model import FasterRCNNVGG16 from trainer import FasterRCNNTrainer from data.util import read_image from utils.vis_tool import vis_bbox from utils import array_tool as at from train import train from Test import test # train() # test() fas...
[ "model.FasterRCNNVGG16", "os.listdir", "torch.from_numpy", "trainer.FasterRCNNTrainer", "utils.array_tool.tonumpy", "data.util.read_image" ]
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"""This is a script that does not form part of normal testing, but can be used as a starting point when trying to test features that normally run as part of plugins. For example, twitter searches. """ from dataclasses import dataclass from datetime import datetime from plugins.twitter import PROVIDER as provider from ...
[ "plugins.twitter.PROVIDER._validate", "plugins.twitter.PROVIDER.client.search_tweets_iterable", "plugins.twitter.PROVIDER._add_validator_context", "TwitterSearch.TwitterSearchOrder", "plugins.twitter.PROVIDER.instantiate_client" ]
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from flask import Flask, render_template,request from textblob import TextBlob from wtforms import Form,StringField,TextAreaField,validators app = Flask(__name__) class homepageForm(Form): sentiments = TextAreaField('Text', render_kw={"rows": 5, "cols": 11}) @app.route('/',methods=['GET','POST']) def index(): ...
[ "flask.render_template", "textblob.TextBlob", "wtforms.TextAreaField", "flask.Flask" ]
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""" Models used by speechmatics """ import ssl from dataclasses import asdict, dataclass, field from enum import Enum def del_none(dictionary): """ Recursively delete from the dictionary all entries which values are None. Args: dictionary (dict): input dictionary Returns: dict: outpu...
[ "dataclasses.field", "dataclasses.asdict" ]
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import numpy as np def identity_function(x): return x def leaky_relu(x): return np.max(0.1 * x, x) def relu(x): return np.max(0, x) def sigmoid(x): return 1 / (1 + np.exp(-x)) def tanh(x): return np.tanh(x) def step_function(x): return np.array(x > 0, dtype=np.int) def softmax(x): ...
[ "numpy.exp", "numpy.array", "numpy.tanh", "numpy.max" ]
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import torch import torch.nn as nn import torch.utils.data as data import torch.nn.functional as F import torchvision import torchvision.transforms as transforms import argparse # import matplotlib.pyplot as plt import numpy as np from torch.autograd import Variable # from sklearn.decomposition import PCA import sett...
[ "numpy.logical_not", "classifier.Classifier", "torch.from_numpy", "torch.nn.functional.sigmoid", "torch.cuda.is_available", "argparse.ArgumentParser", "numpy.random.random", "numpy.concatenate", "torchvision.transforms.ToTensor", "torch.autograd.Variable", "numpy.abs", "numpy.random.choice", ...
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#!/usr/local/bin/python import re import os refsbib = open('refs.bib', 'r').read() p = re.compile('@.+{(.*),') g = p.findall(refsbib) for f in g: name = f + '.pdf' if os.path.isfile(os.path.join('./live/files/', name)): print("[OK] %s ready" % f) else: print("[--] %s not found" % f)
[ "os.path.join", "re.compile" ]
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import textwrap import re import pytest from grep_prs import RepoName, _format_matches, _grep_diff @pytest.mark.parametrize("s", ["", "noslash", "too/many/slashes"]) def test_parse_repo_name_invalid(s): with pytest.raises(ValueError): RepoName.parse(s) @pytest.mark.parametrize( "pattern, diff, exp...
[ "textwrap.dedent", "grep_prs.RepoName.parse", "re.compile", "pytest.mark.parametrize", "pytest.raises", "grep_prs._format_matches" ]
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# import import numpy as np import json import pandas as pd import torch import os def seed_everything(seed): np.random.seed(seed) os.environ['PYTHONHASHSEED'] = str(seed) torch.manual_seed(seed) seed_everything(42) class TrainPipeline: def __init__(self, hparams, gpu, model, Dataset_train): ...
[ "torch.manual_seed", "os.makedirs", "json.dump", "numpy.random.seed", "numpy.round" ]
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""" Unit test for util (i.e. for the parameterisation maths) """ import numpy as np from fourbody import util def test_inv_mass_stationary(): """ Test invariant mass of a stationary particle gets calculated correctly """ b0_mass = 5279.65 momentum = np.array([[0.0]]) energy = np.array([[b0_...
[ "numpy.allclose", "numpy.add", "fourbody.util._invariant_masses", "fourbody.util.m_plus_minus", "numpy.array", "numpy.linspace", "numpy.cos", "fourbody.util.phi", "numpy.sin" ]
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import re class BadRequestError(ValueError): pass def valid_int(value): """Converts the value to an integer value or zero. """ try: result = int(value) except ValueError: result = 0 return result URL_PATTERN = re.compile(r"^https?://([^#]+)") def valid_url(url): match...
[ "re.compile" ]
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import smtplib # bring in the by fault email module from email.mime.text import MIMEText from email.mime.multipart import MIMEMultipart from email.mime.base import MIMEBase from email import encoders # turned into a function to import into scrape.py # put your own values in the from & to email fields def send(filenam...
[ "smtplib.SMTP", "email.mime.base.MIMEBase", "email.encoders.encode_base64", "email.mime.multipart.MIMEMultipart", "email.mime.text.MIMEText" ]
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from pathlib import Path import requests from bs4 import BeautifulSoup from dateutil import parser from pathvalidate import sanitize_filename from ..utils import HEADERS FILE_DIR = Path(Path.home() / "Downloads" / "podcasts" / "conspirituality-podcast") BASE_URL = "https://conspirituality.net/" def process_content...
[ "pathvalidate.sanitize_filename", "pathlib.Path.home", "requests.get" ]
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import fnmatch import os from collections import Counter from conans.client import packager from conans.client.build_requires import BuildRequires from conans.client.client_cache import ClientCache from conans.client.cmd.export import cmd_export, _execute_export from conans.client.deps_builder import DepsGraphBuilder ...
[ "conans.client.cmd.export.cmd_export", "conans.client.remover.ConanRemover", "conans.client.loader_parse.load_conanfile_class", "conans.model.ref.PackageReference", "os.path.exists", "conans.client.tools.cross_building", "conans.client.cmd.export._execute_export", "conans.client.importer.run_imports",...
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# -*- coding: utf-8 -*- import sys import pandas import numpy sys.path.append('../') import heatmap from matplotlib.colors import LinearSegmentedColormap from matplotlib.lines import Line2D import matplotlib matplotlib.rcParams['font.sans-serif'] = ['FreeSans', ] matplotlib.rcParams['mathtext.fontset'] = 'custom' matp...
[ "pandas.read_csv", "matplotlib.colors.LinearSegmentedColormap.from_list", "heatmap.Clustergram", "sys.path.append", "numpy.arange" ]
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#!/usr/bin/python3 import sys # stream processing # streams have groups and garbage. # groups are delimited by {}. # groups can contain other groups and garbage. # garbage is delimited by <>. # garbage can't contain groups. # any character followed by ! is cancelled. # goal is to find total score for all groups. # g...
[ "sys.stdin.readlines", "sys.exit" ]
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import sys, os sys.path = [os.path.abspath(os.path.dirname(os.path.dirname(__file__)))] + sys.path import unittest import nose from sqlalchemy import create_engine from sqlalchemy import Table, Column, Integer, String, MetaData, ForeignKey, Boolean, DateTime from sqlalchemy.orm import mapper from sqlalchemy impo...
[ "logging.basicConfig", "logging.getLogger", "sqlalchemy.orm.sessionmaker", "sqlalchemy.create_engine", "nose.runmodule", "uuid.uuid1", "os.path.dirname", "tempfile.NamedTemporaryFile", "pmpmanager.db_devices.init", "pmpmanager.job_manage.job_manage" ]
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from django.db import models class Call(models.Model): name = models.CharField(max_length=200) matriline = models.CharField(max_length=200) notes = models.CharField(max_length=200) audio = models.CharField(max_length=200) image = models.CharField(max_length=200) duration = models.FloatField() ...
[ "django.db.models.FloatField", "django.db.models.CharField" ]
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from mlx.od.config import cfg, process_config from mlx.od.data import build_databunch from mlx.od.plot import plot_dataloader cfg.base_uri = '/opt/data/pascal2007' cfg.test_mode = True process_config(cfg) tmp_dir = '/opt/data/' databunch = build_databunch(cfg, tmp_dir) output_dir = '/opt/data/test/' plot_dataloader(...
[ "mlx.od.data.build_databunch", "mlx.od.plot.plot_dataloader", "mlx.od.config.process_config" ]
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import unittest from mockito import mock, when, unstub from pageobject import PageObject class PageObjectTest(unittest.TestCase): @classmethod def setUpClass(cls): cls.lib = PageObject() def tearDown(self): unstub() def test_01_demo(self): page = mock() ...
[ "mockito.mock", "mockito.when", "mockito.unstub", "pageobject.PageObject" ]
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import xadmin from .models import Courses, Chapter class CoursesAdmin(object): list_display = ["title", "is_visible", "show_on_homepage", "add_time", "order", "teachers"] list_filter = ["teachers", "is_visible", "title"] search_fields = ['title', ] class ChapterAdmin(object): list_display = ["course...
[ "xadmin.site.register" ]
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# -*- coding: utf-8 -*- """ """ import objc import Foundation NSUserDefaults = Foundation.NSUserDefaults import AppKit NSApplication = AppKit.NSApplication NSWindowController = AppKit.NSWindowController import CactusTools #### # # Open Preferences # class CactusPreferenceController(NSWindowController): bu...
[ "CactusTools.getFolderDialog", "objc.IBOutlet" ]
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""" Copyright 2013 Rackspace 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 dist...
[ "cloudcafe.objectstorage.objectstorage_api.client.ObjectStorageAPIClient", "cloudcafe.objectstorage.objectstorage_api.config.ObjectStorageAPIConfig", "cloudcafe.objectstorage.objectstorage_api.behaviors.ObjectStorageAPI_Behaviors", "cloudcafe.objectstorage.config.ObjectStorageConfig", "cloudcafe.auth.config...
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from distutils.version import LooseVersion from io import StringIO from itertools import product from string import ascii_lowercase import struct import sys import types import warnings import numpy as np from numpy.random import RandomState from numpy.testing import ( assert_allclose, assert_almost_equal, ...
[ "numpy.random.standard_normal", "struct.calcsize", "numpy.sqrt", "numpy.testing.assert_equal", "numpy.linalg.pinv", "arch.univariate.volatility.ARCH", "numpy.array", "scipy.stats.chi2", "numpy.isfinite", "pytest.fixture", "pandas.testing.assert_frame_equal", "arch.univariate.mean.ConstantMean"...
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import argparse import textwrap from argparse import RawDescriptionHelpFormatter import help_text from subparsers.share_image import share_image_subparser from subparsers.consumer_set_status import consumer_set_status_subparser from subparsers.list_custom_images import list_custom_images_subparser from subparsers.list_...
[ "subparsers.consumer_set_status.consumer_set_status_subparser", "subparsers.share_image.share_image_subparser", "textwrap.dedent", "subparsers.list_members.list_members_subparser", "subparsers.list_all_images.list_all_images_subparser", "subparsers.member_del.member_del_subparser", "subparsers.list_cust...
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""" Migration script to (a) create tables for annotating pages. """ from __future__ import print_function import logging from sqlalchemy import ( Column, ForeignKey, Index, Integer, MetaData, Table, TEXT ) from galaxy.model.migrate.versions.util import ( create_table, drop_table )...
[ "logging.getLogger", "galaxy.model.migrate.versions.util.create_table", "galaxy.model.migrate.versions.util.drop_table", "sqlalchemy.ForeignKey", "sqlalchemy.MetaData", "sqlalchemy.Index", "sqlalchemy.Column" ]
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import random import math import numpy as np import cv2 import matplotlib.pyplot as plt __author__ = '__Girish_Hegde__' class Sampler: def __init__(self, radius=1, center=(0, 0), method='rejection_sample'): self.radius = radius self.r2 = radius**2 self.cx, self.cy = ce...
[ "cv2.imshow", "math.cos", "numpy.array", "cv2.circle", "numpy.zeros", "random.random", "math.sin", "cv2.waitKey" ]
[((3885, 3922), 'numpy.zeros', 'np.zeros', (['(hw, hw, 3)'], {'dtype': 'np.uint8'}), '((hw, hw, 3), dtype=np.uint8)\n', (3893, 3922), True, 'import numpy as np\n'), ((3995, 4071), 'cv2.circle', 'cv2.circle', (['coord_frame', '(hw // 2 + cx, hw - (hw // 2 + cy))', 'r', '(255, 0, 0)'], {}), '(coord_frame, (hw // 2 + cx, ...
import pytest from utils.jsondict import * @pytest.mark.parametrize('maybe_dict, key, expected', [ ({}, '', None), ({}, 'k', None), (123, '', 123), (123, 'k', 123), ({'h': 1}, '', None), ({'h': 1}, 'k', None), ({'k': 1}, '', None), ({'k': 1}, 'k', 1) ]) def test_safe_get_value(maybe_dict, key, expecte...
[ "pytest.mark.parametrize" ]
[((46, 262), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""maybe_dict, key, expected"""', "[({}, '', None), ({}, 'k', None), (123, '', 123), (123, 'k', 123), ({'h': 1\n }, '', None), ({'h': 1}, 'k', None), ({'k': 1}, '', None), ({'k': 1},\n 'k', 1)]"], {}), "('maybe_dict, key, expected', [({}, '', N...
# -*- coding: utf-8 -*- # django-read-only-admin # tests/test_utils.py from typing import List # pylint: disable=W0611 from django.test import TestCase from django.test.utils import override_settings from read_only_admin.utils import ( get_read_only_permission_name, get_read_only_permission_codename, ) ...
[ "read_only_admin.utils.get_read_only_permission_name", "django.test.utils.override_settings", "read_only_admin.utils.get_read_only_permission_codename" ]
[((879, 934), 'django.test.utils.override_settings', 'override_settings', ([], {'READ_ONLY_ADMIN_PERMISSION_PREFIX': '""""""'}), "(READ_ONLY_ADMIN_PERMISSION_PREFIX='')\n", (896, 934), False, 'from django.test.utils import override_settings\n'), ((1663, 1723), 'django.test.utils.override_settings', 'override_settings',...
"""Create sql tables""" # pylint: disable=unused-argument # pylint: disable=consider-using-from-import import logging import azure.functions as func import azure.cosmos.cosmos_client as cosmos_client import azure.cosmos.exceptions as exceptions from azure.cosmos.partition_key import PartitionKey from shared_code impor...
[ "shared_code.get_config.get_containers", "azure.cosmos.cosmos_client.CosmosClient", "azure.functions.HttpResponse", "shared_code.get_config.get_cosmosdb", "azure.cosmos.partition_key.PartitionKey", "logging.info" ]
[((417, 452), 'logging.info', 'logging.info', (['"""Creating sql tables"""'], {}), "('Creating sql tables')\n", (429, 452), False, 'import logging\n'), ((554, 579), 'shared_code.get_config.get_cosmosdb', 'get_config.get_cosmosdb', ([], {}), '()\n', (577, 579), False, 'from shared_code import get_config\n'), ((593, 672)...
import os import tarfile from cm.util import misc import cm.util.paths as paths from cm.services import ServiceRole from cm.services import ServiceDependency from cm.services import service_states from cm.services.apps import ApplicationService import logging log = logging.getLogger('cloudman') class CloudgeneServi...
[ "logging.getLogger", "os.path.exists", "tarfile.open", "cm.services.ServiceRole.to_string", "os.path.join", "cm.services.ServiceDependency", "os.mkdir", "cm.util.misc.run" ]
[((268, 297), 'logging.getLogger', 'logging.getLogger', (['"""cloudman"""'], {}), "('cloudman')\n", (285, 297), False, 'import logging\n'), ((494, 538), 'cm.services.ServiceRole.to_string', 'ServiceRole.to_string', (['ServiceRole.CLOUDGENE'], {}), '(ServiceRole.CLOUDGENE)\n', (515, 538), False, 'from cm.services import...
import os import threading import time from liota.dcc_comms.timeout_exceptions import timeoutException class checkConnection: def __init__(self, interval=1, hostname = "8.8.8.8"): self.interval = interval self.hostname = hostname self.check = 1 self.thread = threading.Thread(target=self.run) self.thread.da...
[ "threading.Thread", "os.system", "time.sleep" ]
[((270, 303), 'threading.Thread', 'threading.Thread', ([], {'target': 'self.run'}), '(target=self.run)\n', (286, 303), False, 'import threading\n'), ((580, 641), 'os.system', 'os.system', (["('ping -c 1 ' + self.hostname + ' > /dev/null 2>&1')"], {}), "('ping -c 1 ' + self.hostname + ' > /dev/null 2>&1')\n", (589, 641)...
""" Trainer for BiGAN/ALI """ import numpy as np import torch from torch.autograd import Variable from tqdm import tqdm from ....common import FloatTensor from ....utils.plot import get_visdom_line_plotter class Trainer(object): def __init__(self, trick_dict=None): if trick_dict is None: sel...
[ "numpy.random.normal", "numpy.array", "tqdm.tqdm", "numpy.random.randn" ]
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from django.template import Library from evap.evaluation.models import Semester from evap.settings import DEBUG, LANGUAGES register = Library() @register.inclusion_tag("navbar.html") def include_navbar(user, language): return { "user": user, "current_language": language, "languages": LAN...
[ "evap.evaluation.models.Semester.objects.filter", "evap.evaluation.models.Semester.get_all_with_unarchived_results", "django.template.Library", "evap.evaluation.models.Semester.get_all_with_published_unarchived_results" ]
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from functools import partial # from ..config_new import BTE_FILTERS BTE_FILTERS = ["nodeDegree", "ngd", "drugPhase", "survivalProbability"] def filter_response(res, criteria): """ Filter API response based on filtering criteria :param res: API Response :param criteria: filtering criteria """ ...
[ "functools.partial" ]
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from experiments.training import train import logging import uuid import time from utilities.monitor import save_scores, render_figure, save_states class Experiment(): def __init__(self, name, environment, agents, max_t=100, num_episodes=1000, goal = 0., save_states_every = 0, brain_name="", experiment_num=0): ...
[ "utilities.monitor.save_states", "experiments.training.train", "time.strftime", "uuid.uuid4", "utilities.monitor.save_scores", "utilities.monitor.render_figure" ]
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#!/usr/bin/python3 # -*- coding: utf-8 -*- # Copyright 2021-... <NAME> <<EMAIL>>. # This program is distributed under the MIT license. # Glory to Ukraine! import DipTrace import math from typing import List data = [ {'uni': 'SMAJ5.0A', 'bi': 'SMAJ5.0CA', 'voltage': 5.0}, {'uni': 'SMAJ6.0A', 'bi': 'SMAJ6.0CA', 'vol...
[ "DipTrace.NameFont", "DipTrace.Category", "DipTrace.Origin", "DipTrace.SpiceModel", "DipTrace.Point", "DipTrace.PatternLibrary", "math.radians", "DipTrace.compare", "DipTrace.format_xml" ]
[((6989, 7030), 'DipTrace.format_xml', 'DipTrace.format_xml', (['actual_patterns_path'], {}), '(actual_patterns_path)\n', (7008, 7030), False, 'import DipTrace\n'), ((7032, 7075), 'DipTrace.format_xml', 'DipTrace.format_xml', (['actual_components_path'], {}), '(actual_components_path)\n', (7051, 7075), False, 'import D...
''' defines all the sources necessary for building cgui.pyd ''' import os BUILD_BUDDYLIST_GUI = False thisdir = os.path.dirname(os.path.abspath(__file__)) sources = ''' src/ctextutil.cpp src/SplitImage4.cpp src/ScrollWindow.cpp src/skinvlist.cpp src/pyutils.cpp src/cwindowfx.cpp ...
[ "os.path.abspath", "os.getenv" ]
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import random print('Enter the two different values') first = input('Enter first side : ') second = input('Enter second side : ') fate = [first,second] x=random.randint(0,1) print(fate[x])
[ "random.randint" ]
[((155, 175), 'random.randint', 'random.randint', (['(0)', '(1)'], {}), '(0, 1)\n', (169, 175), False, 'import random\n')]
from flask import Flask, render_template from planner import algorithm, constants from model.body import Body app = Flask(__name__) @app.route('/hello') def hello_world(): return render_template('main.html') @app.route('/planner/') @app.route('/planner/<username>') def hello(username="Guest"): one_hot_enco...
[ "flask.render_template", "model.body.Body", "planner.constants.one_hot_encoded_weekdays", "flask.Flask" ]
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#! /usr/bin/python3 import socket import threading import time class Server: def __init__(self): self._drawDataCache = [] self._keyCache = [] self._alive = True self._host = "localhost" self._port = 60003 self._socket = socket.socket(socket.AF_INET, socket.SOCK_STRE...
[ "threading.Thread", "time.sleep", "socket.socket" ]
[((274, 323), 'socket.socket', 'socket.socket', (['socket.AF_INET', 'socket.SOCK_STREAM'], {}), '(socket.AF_INET, socket.SOCK_STREAM)\n', (287, 323), False, 'import socket\n'), ((495, 528), 'threading.Thread', 'threading.Thread', ([], {'target': 'self.run'}), '(target=self.run)\n', (511, 528), False, 'import threading\...
from django.conf.urls import patterns from status.views import StatusView, ExtraStatusView urlpatterns = patterns('status.views', (r'^/?$', StatusView.as_view()), (r'^/(?P<machine_name>[^/]+)$', StatusView.as_view()), (r'^(?P<query>.+)/$', ExtraStatusView.as_view()), )
[ "status.views.ExtraStatusView.as_view", "status.views.StatusView.as_view" ]
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from funcs.ngram import ngram def test_ngram_string(): """ ngram can be called with a string (e.g. a single cell containing a string) """ grams = ngram('Hello world. Hello, world! Hello Alice and Bob.') assert grams == [ ('world hello', 2), ('hello world', 2), ('and bob', 1...
[ "funcs.ngram.ngram" ]
[((164, 220), 'funcs.ngram.ngram', 'ngram', (['"""Hello world. Hello, world! Hello Alice and Bob."""'], {}), "('Hello world. Hello, world! Hello Alice and Bob.')\n", (169, 220), False, 'from funcs.ngram import ngram\n'), ((540, 599), 'funcs.ngram.ngram', 'ngram', (["['Hello world.', 'Hello, world!', 'Hello... world?']"...
import pytest from seleniumbase import BaseCase from qa327.models import db, User from qa327_test.conftest import base_url from unittest.mock import patch from werkzeug.security import generate_password_hash, check_password_hash test_user = User( email='<EMAIL>', name='testuser', password=generate_password...
[ "unittest.mock.patch", "werkzeug.security.generate_password_hash" ]
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''' SFCMapper.py Updated: 2/6/18 This script contains methods to generate space filling curves and uses them to map high dimensional data into lower dimensions. ''' import numpy as np class SFCMapper(object): """ SFCMapper object is used to generate 3D and 2D space filling curves and map the traveseral o...
[ "numpy.array", "numpy.log2", "numpy.zeros", "numpy.sqrt" ]
[((723, 749), 'numpy.sqrt', 'np.sqrt', (['(self.size_3d ** 3)'], {}), '(self.size_3d ** 3)\n', (730, 749), True, 'import numpy as np\n'), ((1423, 1439), 'numpy.zeros', 'np.zeros', (['[s, s]'], {}), '([s, s])\n', (1431, 1439), True, 'import numpy as np\n'), ((1039, 1060), 'numpy.log2', 'np.log2', (['self.size_3d'], {}),...
import inspect from abc import abstractmethod, ABCMeta from typing import Callable, Union, Optional, List from joblib import Memory # import cupy as cp from warnings import warn import numpy as np from scipy.integrate import quad # from Operator import Quadrature from decorators import timer, vectorize location = ...
[ "decorators.vectorize", "numpy.less", "numpy.repeat", "scipy.integrate.quad", "numpy.square", "joblib.Memory", "numpy.array", "warnings.warn", "numpy.vectorize", "inspect.getsource" ]
[((342, 401), 'joblib.Memory', 'Memory', (['location'], {'verbose': '(0)', 'bytes_limit': '(1024 * 1024 * 1024)'}), '(location, verbose=0, bytes_limit=1024 * 1024 * 1024)\n', (348, 401), False, 'from joblib import Memory\n'), ((7869, 7896), 'numpy.vectorize', 'np.vectorize', (['__q_estimator'], {}), '(__q_estimator)\n'...
from django.utils.translation import ugettext_lazy as _ from mayan.apps.acls.classes import ModelPermission from mayan.apps.acls.permissions import permission_acl_edit, permission_acl_view from mayan.apps.common.apps import MayanAppConfig from mayan.apps.common.menus import ( menu_multi_item, menu_object, menu_sec...
[ "mayan.apps.common.menus.menu_secondary.bind_links", "mayan.apps.events.classes.ModelEventType.register", "django.utils.translation.ugettext_lazy", "mayan.apps.navigation.classes.SourceColumn", "mayan.apps.common.menus.menu_object.bind_links", "mayan.apps.common.menus.menu_multi_item.bind_links", "mayan...
[((911, 928), 'django.utils.translation.ugettext_lazy', '_', (['"""File caching"""'], {}), "('File caching')\n", (912, 928), True, 'from django.utils.translation import ugettext_lazy as _\n'), ((1105, 1145), 'mayan.apps.events.classes.EventModelRegistry.register', 'EventModelRegistry.register', ([], {'model': 'Cache'})...
#################################################################### # Skeleton for Appium tests on Sauce Labs RDC #################################################################### ################################################################### # Imports that are good to use ###################################...
[ "termcolor.colored", "multiprocessing.Process", "time.sleep", "appium.webdriver.Remote", "urllib3.disable_warnings", "datetime.datetime.now", "sys.exit" ]
[((1231, 1298), 'urllib3.disable_warnings', 'urllib3.disable_warnings', (['urllib3.exceptions.InsecureRequestWarning'], {}), '(urllib3.exceptions.InsecureRequestWarning)\n', (1255, 1298), False, 'import urllib3\n'), ((4880, 4890), 'sys.exit', 'sys.exit', ([], {}), '()\n', (4888, 4890), False, 'import sys\n'), ((5680, 5...
#### # This sample uses the PyPDF2 library for combining pdfs together to get the full pdf for all the views in a # workbook. # # You will need to do `pip install PyPDF2` to use this sample. # # To run the script, you must have installed Python 3.5 or later. #### import argparse import getpass import logging import t...
[ "logging.basicConfig", "sys.exit", "logging.debug", "argparse.ArgumentParser", "tableauserverclient.TableauAuth", "getpass.getpass", "PyPDF2.PdfFileMerger", "tempfile.mkdtemp", "functools.partial", "shutil.rmtree", "tableauserverclient.Server" ]
[((1200, 1222), 'shutil.rmtree', 'shutil.rmtree', (['tempdir'], {}), '(tempdir)\n', (1213, 1222), False, 'import shutil\n'), ((1250, 1339), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {'description': '"""Export to PDF all of the views in a workbook."""'}), "(description=\n 'Export to PDF all of the vi...
from __future__ import annotations from dataclasses import dataclass from datetime import datetime from snapflow import DataFunctionContext, datafunction from . import base_import @dataclass class ImportCrunchbaseFundingRoundsCSVState: latest_imported_at: datetime @datafunction( "import_funding_rounds", ...
[ "snapflow.datafunction" ]
[((276, 447), 'snapflow.datafunction', 'datafunction', (['"""import_funding_rounds"""'], {'namespace': '"""crunchbase"""', 'state_class': 'ImportCrunchbaseFundingRoundsCSVState', 'display_name': '"""Import Crunchbase Funding Rounds"""'}), "('import_funding_rounds', namespace='crunchbase', state_class=\n ImportCrunch...
#!/usr/bin/python # coding=utf-8 # pylint: disable=I0011 # Copyright 2021 getcarrier.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/LICEN...
[ "subprocess.Popen", "pylon.core.tools.log.info" ]
[((821, 909), 'subprocess.Popen', 'subprocess.Popen', (['*args'], {'stdout': 'subprocess.PIPE', 'stderr': 'subprocess.STDOUT'}), '(*args, **kvargs, stdout=subprocess.PIPE, stderr=subprocess\n .STDOUT)\n', (837, 909), False, 'import subprocess\n'), ((1108, 1122), 'pylon.core.tools.log.info', 'log.info', (['line'], {}...
from copy import deepcopy from .transforms import TRANSFORMS SCHEME_CACHE = {} # global scheme registry class Scheme(): def __init__(self, scheme_list, agent_flatten=True): self.scheme_list = scheme_list if agent_flatten: self.agent_flatten() # NEW! self.t_id_depth = self._g...
[ "copy.deepcopy" ]
[((2498, 2515), 'copy.deepcopy', 'deepcopy', (['_scheme'], {}), '(_scheme)\n', (2506, 2515), False, 'from copy import deepcopy\n')]
import os from nmapy.classification import * if __name__ == "__main__": in_image = "/mnt/GATES/UserDirs/4ja/data/johannesburg_cw_wv2_000024000_000078000_00114.tif" out = None block = "30 meters" model_dir = "/mnt/GATES/UserDirs/4ja/models" classifier_file = os.path.join(model_dir,...
[ "os.path.join" ]
[((297, 337), 'os.path.join', 'os.path.join', (['model_dir', '"""svm_model.pkl"""'], {}), "(model_dir, 'svm_model.pkl')\n", (309, 337), False, 'import os\n'), ((357, 399), 'os.path.join', 'os.path.join', (['model_dir', '"""data_scaler.pkl"""'], {}), "(model_dir, 'data_scaler.pkl')\n", (369, 399), False, 'import os\n'),...
from dataclasses import dataclass import flowpost.wake.helpers.wake_stats as ws from wake_config import WakeCaseParams import flowpost.IO.pyTecIO.tecreader as tecreader import os import numpy as np from ...calc.stats import VelocityStatistics, ReynoldsStresses ###########################################################...
[ "flowpost.wake.helpers.wake_stats.compute_field_acf_index", "flowpost.wake.helpers.wake_stats.rotate_velocities", "numpy.savez", "scipy.signal.welch", "os.makedirs", "scipy.stats.kurtosis", "dataclasses.dataclass", "os.path.join", "scipy.stats.skew", "flowpost.wake.helpers.wake_stats.transform_wak...
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from ..dataloader import load_batch from .flownet_s_interp import FlowNetS_interp import argparse from ..utils import str2bool import tensorflow as tf # TODO: update traning scripts for all other architectures with latest changes def main(): # Create a new network net = FlowNetS_interp(no_deconv_biases=FLAGS....
[ "argparse.ArgumentParser", "tensorflow.Variable" ]
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import urllib.request import urllib.error import socket from .base import ToshiHTTPClientBase, ToshiHTTPResponse from io import BytesIO import time class ToshiHTTPClient(ToshiHTTPClientBase): def fetch_impl(self, request): req = urllib.request.Request( request.url, method=request.method, ...
[ "time.time" ]
[((394, 405), 'time.time', 'time.time', ([], {}), '()\n', (403, 405), False, 'import time\n'), ((668, 679), 'time.time', 'time.time', ([], {}), '()\n', (677, 679), False, 'import time\n')]
#!/usr/bin/env python3 import sys from os import path, chmod from urllib.request import urlopen, Request from urllib.error import HTTPError from pathlib import Path from concurrent.futures import ThreadPoolExecutor, as_completed target_dir = sys.argv[1] csv_file = sys.argv[2] def read_selected_songs(csv_file): sel...
[ "pathlib.Path", "concurrent.futures.ThreadPoolExecutor", "urllib.request.Request", "os.chmod", "concurrent.futures.as_completed", "os.path.isfile" ]
[((1158, 1180), 'os.chmod', 'chmod', (['target_dir', '(493)'], {}), '(target_dir, 493)\n', (1163, 1180), False, 'from os import path, chmod\n'), ((1414, 1448), 'concurrent.futures.ThreadPoolExecutor', 'ThreadPoolExecutor', ([], {'max_workers': '(10)'}), '(max_workers=10)\n', (1432, 1448), False, 'from concurrent.future...
"""Tests for stopping criteria of probabilistic linear solvers.""" import operator from typing import Callable import pytest from probnum import LambdaStoppingCriterion, StoppingCriterion @pytest.fixture def stopcrit(): return LambdaStoppingCriterion(stopcrit=lambda: True) def test_invert_stopcrit(stopcrit: ...
[ "pytest.mark.parametrize", "probnum.LambdaStoppingCriterion" ]
[((388, 455), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""binary_op"""', '[operator.and_, operator.or_]'], {}), "('binary_op', [operator.and_, operator.or_])\n", (411, 455), False, 'import pytest\n'), ((236, 283), 'probnum.LambdaStoppingCriterion', 'LambdaStoppingCriterion', ([], {'stopcrit': '(lambda :...
import numpy import random import sys from nsga2 import Nsga2 class Mtsp(object): @staticmethod def crossover_sequence_ox(parent_sequence_a, parent_sequence_b): sequence_length = len(parent_sequence_a) child_sequence_a = [None] * sequence_length child_sequence_b = [None] * sequence_le...
[ "nsga2.Nsga2", "numpy.zeros", "random.shuffle", "random.randrange" ]
[((343, 376), 'random.randrange', 'random.randrange', (['sequence_length'], {}), '(sequence_length)\n', (359, 376), False, 'import random\n'), ((394, 427), 'random.randrange', 'random.randrange', (['sequence_length'], {}), '(sequence_length)\n', (410, 427), False, 'import random\n'), ((1276, 1300), 'random.randrange', ...
# Generated by Django 2.2.9 on 2020-02-06 15:23 import uuid from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0005_auto_20200206_1222'), ] operations = [ migrations.CreateModel( name='LimiteCategoria', fiel...
[ "django.db.models.AutoField", "django.db.models.CharField", "django.db.models.DateTimeField", "django.db.models.DecimalField", "django.db.models.UUIDField" ]
[((348, 441), 'django.db.models.AutoField', 'models.AutoField', ([], {'auto_created': '(True)', 'primary_key': '(True)', 'serialize': '(False)', 'verbose_name': '"""ID"""'}), "(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')\n", (364, 441), False, 'from django.db import migrations, models\...
import sys import tensorflow as tf import pdb import numpy as np import myParams import GTools as GT import scipy.io import h5py import time FLAGS = tf.app.flags.FLAGS def setup_inputs(sess, filenames, image_size=None, capacity_factor=3, TestStuff=False): batch_size=myParams.myDict['batch_size'] channel...
[ "tensorflow.image.resize_images", "tensorflow.imag", "tensorflow.get_variable", "tensorflow.transpose", "tensorflow.scatter_nd_update", "numpy.int32", "tensorflow.multiply", "tensorflow.real", "tensorflow.TFRecordReader", "GTools.TFGenerateRandomSinPhase", "tensorflow.reduce_mean", "tensorflow...
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from django.conf import settings from django.urls import path from dictionary.views.detail import Chat, ChatArchive, UserProfile from dictionary.views.edit import UserPreferences from dictionary.views.images import ImageList, ImageUpload, ImageDetailProduction, ImageDetailDevelopment from dictionary.views.list import ...
[ "dictionary.views.list.ActivityList.as_view", "dictionary.views.edit.UserPreferences.as_view", "dictionary.views.list.PeopleList.as_view", "dictionary.views.images.ImageUpload.as_view", "dictionary.views.detail.UserProfile.as_view", "dictionary.views.images.ImageList.as_view", "dictionary.views.list.Con...
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# Generated by Django 3.1.8 on 2021-04-23 08:35 import django.contrib.postgres.fields from django.db import migrations, models import django.db.models.deletion import django.utils.timezone import model_utils.fields import uuid class Migration(migrations.Migration): replaces = [('flags', '0001_initial'), ('flags...
[ "django.db.models.Index", "django.db.models.UUIDField", "django.db.models.TextField", "django.db.models.ForeignKey", "django.db.migrations.RemoveIndex", "django.db.models.BooleanField", "django.db.migrations.AlterModelOptions", "django.db.migrations.AlterModelTable", "django.db.models.PositiveSmallI...
[((3591, 3664), 'django.db.migrations.AlterModelOptions', 'migrations.AlterModelOptions', ([], {'name': '"""flag"""', 'options': "{'ordering': ['team']}"}), "(name='flag', options={'ordering': ['team']})\n", (3619, 3664), False, 'from django.db import migrations, models\n'), ((3709, 3802), 'django.db.migrations.RemoveI...
from json import loads as json_loads from json import dumps as json_dumps from datetime import timedelta from redis import Redis from app.library.market import get_market_data from app import config class Cache(object): def __init__(self): self.redis = Redis(host=config.REDIS_HOST, port=config.REDIS_POR...
[ "json.loads", "json.dumps", "redis.Redis", "app.library.market.get_market_data", "datetime.timedelta" ]
[((269, 322), 'redis.Redis', 'Redis', ([], {'host': 'config.REDIS_HOST', 'port': 'config.REDIS_PORT'}), '(host=config.REDIS_HOST, port=config.REDIS_PORT)\n', (274, 322), False, 'from redis import Redis\n'), ((448, 485), 'datetime.timedelta', 'timedelta', ([], {'minutes': 'expiration_minutes'}), '(minutes=expiration_min...
from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch.utils.data as data import numpy as np import torch import json import cv2 import os from utils.image import flip, color_aug from utils.image import get_affine_transform, affine_transform from utils...
[ "numpy.clip", "math.cos", "numpy.array", "utils.image.get_affine_transform", "numpy.arange", "numpy.random.random", "cv2.minAreaRect", "numpy.concatenate", "numpy.abs", "cv2.warpAffine", "numpy.int0", "cv2.resize", "utils.image.color_aug", "cv2.imread", "numpy.random.randn", "math.ceil...
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from typing import Optional, Any from nornir.core.task import Result, Task import requests def http_method( task: Optional[Task] = None, method: str = "get", url: str = "", raise_for_status: bool = True, **kwargs: Any ) -> Result: """ This is a convenience task that uses `requests <http:/...
[ "nornir.core.task.Result", "requests.request" ]
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# -*- coding: utf-8 -*- """SKiDL: A Python-Based Schematic Design Language This module extends Python with the ability to design electronic circuits. It provides classes for working with: * Electronic parts (``Part``), * Collections of part terminals (``Pin``) connected via wires (``Net``), and * Groups of related n...
[ "future.standard_library.install_aliases" ]
[((1338, 1372), 'future.standard_library.install_aliases', 'standard_library.install_aliases', ([], {}), '()\n', (1370, 1372), False, 'from future import standard_library\n')]
# -*- coding: utf-8 -*- import os, yaml, json import logging from yconf.util import NestedDict logger = logging.getLogger(__name__) def check_config(obj, name): return name in obj \ if isinstance(obj, dict) else hasattr(obj, name) def get_config(obj, name): return obj.get(name, None) \ if ...
[ "logging.getLogger", "os.path.exists", "json.loads", "yconf.util.NestedDict", "os.path.join" ]
[((106, 133), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (123, 133), False, 'import logging\n'), ((450, 463), 'yconf.util.NestedDict', 'NestedDict', (['d'], {}), '(d)\n', (460, 463), False, 'from yconf.util import NestedDict\n'), ((544, 574), 'json.loads', 'json.loads', (['self.args.s...
from sklearn.pipeline import Pipeline, FeatureUnion, _name_estimators class PartialFeatureUnion(FeatureUnion): """ A `PartialFeatureUnion` is a `FeatureUnion` but able to `.partial_fit`. Arguments: transformer_list: a list of transformers to apply and concatenate Example: ```python ...
[ "sklearn.pipeline._name_estimators" ]
[((2878, 2912), 'sklearn.pipeline._name_estimators', '_name_estimators', (['transformer_list'], {}), '(transformer_list)\n', (2894, 2912), False, 'from sklearn.pipeline import Pipeline, FeatureUnion, _name_estimators\n'), ((5406, 5429), 'sklearn.pipeline._name_estimators', '_name_estimators', (['steps'], {}), '(steps)\...
from openalpr import Alpr import cv2 import re import os alpr = Alpr("eu", "/etc/openalpr/openalpr.conf","/home/pi/openalpr/runtime_data") if not alpr.is_loaded(): print('Erro ao carregar ALPR') sys.exit(1) alpr.set_top_n(200) #alpr.set_default_region('md') #Trabalhando com imagens img = ('/home/pi/Pictures/cel...
[ "re.search", "cv2.imwrite", "cv2.VideoCapture", "openalpr.Alpr" ]
[((64, 139), 'openalpr.Alpr', 'Alpr', (['"""eu"""', '"""/etc/openalpr/openalpr.conf"""', '"""/home/pi/openalpr/runtime_data"""'], {}), "('eu', '/etc/openalpr/openalpr.conf', '/home/pi/openalpr/runtime_data')\n", (68, 139), False, 'from openalpr import Alpr\n'), ((359, 378), 'cv2.VideoCapture', 'cv2.VideoCapture', (['(0...
#!/usr/bin/env python import argparse as ap import numpy as np import matplotlib.pyplot as plt import matplotlib.colors as clr from hmmlearn.hmm import GaussianHMM import scipy.stats as scistats import logging import pickle import os, ntpath import tables import cooler from scipy.sparse import csr_matrix, triu, lil_ma...
[ "numpy.log", "numpy.count_nonzero", "numpy.array", "logging.info", "numpy.arange", "numpy.histogram", "argparse.ArgumentParser", "numpy.where", "numpy.ma.masked_where", "matplotlib.pyplot.close", "numpy.isinf", "hmmlearn.hmm.GaussianHMM", "numpy.tile", "numpy.triu_indices", "tables.open_...
[((20269, 20344), 'logging.basicConfig', 'logging.basicConfig', ([], {'format': '"""%(asctime)s - %(message)s"""', 'level': 'logging.INFO'}), "(format='%(asctime)s - %(message)s', level=logging.INFO)\n", (20288, 20344), False, 'import logging\n'), ((20354, 20373), 'argparse.ArgumentParser', 'ap.ArgumentParser', ([], {}...
import numpy as np a = np.arange(6) b = a.reshape(2,3) c = np.arange(24).reshape(2,3,4) d = np.arange(100).reshape(2, -1) e = np.arange(100).reshape(-1, 5) f = np.ravel(c) g = np.arange(10).reshape(2,-1) print(a, a.shape) print(b, b.shape) print(c, c.shape) print(d, d.shape) print(e, e.shape) print(f, f.shape) ...
[ "numpy.ravel", "numpy.arange" ]
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# -*- coding: utf-8 -*- # Author: XuMing <<EMAIL>> # Data: 17/11/23 # Brief: convolutional_network import tensorflow as tf from tensorflow.examples.tutorials.mnist import input_data mnist = input_data.read_data_sets("../data/", one_hot=False) # training params learning_rate = 0.001 num_steps = 20 # 00 batch_size = ...
[ "tensorflow.contrib.layers.flatten", "tensorflow.variable_scope", "tensorflow.layers.max_pooling2d", "tensorflow.estimator.Estimator", "tensorflow.estimator.EstimatorSpec", "tensorflow.metrics.accuracy", "tensorflow.estimator.inputs.numpy_input_fn", "tensorflow.examples.tutorials.mnist.input_data.read...
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# This file is part of Buildbot. Buildbot is free software: you can # redistribute it and/or modify it under the terms of the GNU General Public # License as published by the Free Software Foundation, version 2. # # This program is distributed in the hope that it will be useful, but WITHOUT # ANY WARRANTY; without eve...
[ "buildbot.util.safeTranslate" ]
[((3043, 3062), 'buildbot.util.safeTranslate', 'safeTranslate', (['name'], {}), '(name)\n', (3056, 3062), False, 'from buildbot.util import safeTranslate\n')]
import tensorflow as tf input = tf.placeholder(tf.string, None) ''' { "input": { "foo": { "bar": "bar" } } } ''' root = tf.parse_single_example(input[0], features={ 'foo': tf.FixedLenFeature(shape=[], dtype=tf.string), }) foo = tf.parse_single_example(root['foo'], features={ ...
[ "tensorflow.placeholder", "tensorflow.Session", "tensorflow.saved_model.simple_save", "tensorflow.FixedLenFeature" ]
[((33, 64), 'tensorflow.placeholder', 'tf.placeholder', (['tf.string', 'None'], {}), '(tf.string, None)\n', (47, 64), True, 'import tensorflow as tf\n'), ((389, 401), 'tensorflow.Session', 'tf.Session', ([], {}), '()\n', (399, 401), True, 'import tensorflow as tf\n'), ((403, 531), 'tensorflow.saved_model.simple_save', ...
# Generated by Django 3.2.7 on 2021-09-24 22:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('massiliarp', '0002_auto_20210925_0116'), ] operations = [ migrations.AlterField( model_name='armyunit', name='recrui...
[ "django.db.models.DecimalField" ]
[((351, 440), 'django.db.models.DecimalField', 'models.DecimalField', ([], {'decimal_places': '(3)', 'max_digits': '(5)', 'verbose_name': '"""Recruitment cost"""'}), "(decimal_places=3, max_digits=5, verbose_name=\n 'Recruitment cost')\n", (370, 440), False, 'from django.db import migrations, models\n'), ((564, 643)...
#!/usr/bin/env python import os import os.path import math from datetime import date from typing import Union, Optional from .token import ( SERIAL_LENGTH, Token, AbstractTokenFile ) from .utils import ( AES_KEY_SIZE, Bytes, aes_ecb_encrypt, aes_ecb_decrypt, Bytearray ) from .exceptions...
[ "os.path.expanduser", "math.floor" ]
[((7460, 7481), 'math.floor', 'math.floor', (['(start / 8)'], {}), '(start / 8)\n', (7470, 7481), False, 'import math\n'), ((7919, 7940), 'math.floor', 'math.floor', (['(start / 8)'], {}), '(start / 8)\n', (7929, 7940), False, 'import math\n'), ((2567, 2595), 'os.path.expanduser', 'os.path.expanduser', (['filename'], {...
#!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2019-07-14 16:14:12 # @Author : <NAME> & <NAME> (<EMAIL>) # @Link : http://iridescent.ink # @Version : $1.0$ import os import h5py import sys import pickle as pkl import scipy.io as scio import numpy as np def save(data, file): """save data to file ...
[ "pickle.dump", "scipy.io.savemat", "scipy.io.loadmat", "pickle.load", "os.path.splitext" ]
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from schafkopf.suits import ACORNS, BELLS, LEAVES, HEARTS, SUITS from schafkopf.ranks import RANKS, SEVEN, EIGHT, NINE, TEN, UNTER, OBER, KING, ACE from schafkopf.helpers import sort_hand class Player: def __init__(self, name="<NAME>"): self.name = name self.hand = [] self.starting_hand = [...
[ "schafkopf.helpers.sort_hand" ]
[((410, 437), 'schafkopf.helpers.sort_hand', 'sort_hand', (['hand', 'trumpcards'], {}), '(hand, trumpcards)\n', (419, 437), False, 'from schafkopf.helpers import sort_hand\n'), ((842, 1117), 'schafkopf.helpers.sort_hand', 'sort_hand', (['starting_hand'], {'trumpcards': '[(OBER, ACORNS), (OBER, LEAVES), (OBER, HEARTS), ...
from __future__ import absolute_import from __future__ import print_function import autograd.numpy as np import matplotlib.pyplot as plt from autograd import grad from builtins import range, map def fun(x): return np.sin(x) d_fun = grad(fun) # First derivative dd_fun = grad(d_fun) # Second derivative x = np.l...
[ "matplotlib.pyplot.savefig", "autograd.numpy.sin", "autograd.grad", "autograd.numpy.abs", "matplotlib.pyplot.clf", "matplotlib.pyplot.axis", "autograd.numpy.linspace", "builtins.range", "builtins.map", "matplotlib.pyplot.ylim", "matplotlib.pyplot.xlim" ]
[((238, 247), 'autograd.grad', 'grad', (['fun'], {}), '(fun)\n', (242, 247), False, 'from autograd import grad\n'), ((279, 290), 'autograd.grad', 'grad', (['d_fun'], {}), '(d_fun)\n', (283, 290), False, 'from autograd import grad\n'), ((316, 341), 'autograd.numpy.linspace', 'np.linspace', (['(-10)', '(10)', '(100)'], {...
# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import...
[ "pulumi.get", "pulumi.getter", "pulumi.set", "pulumi.InvokeOptions", "pulumi.runtime.invoke" ]
[((2022, 2054), 'pulumi.getter', 'pulumi.getter', ([], {'name': '"""bestRoutes"""'}), "(name='bestRoutes')\n", (2035, 2054), False, 'import pulumi\n'), ((2200, 2242), 'pulumi.getter', 'pulumi.getter', ([], {'name': '"""bestRoutesForRouters"""'}), "(name='bestRoutesForRouters')\n", (2213, 2242), False, 'import pulumi\n'...
from utilities.utilities import bisect_string class BigramWordSegmenter: """ Segments a sentence containing no spaces into a list of words, by finding the segmentation that maximizes the bigram probability. The score for of each possible sentence is the bigram probability of the sentence (probability of ...
[ "utilities.utilities.bisect_string" ]
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""" contains a class to store the a dictionary of properties, as produced by the VariantMatrix class .model property, as json. This is required because of a) the need to store these dictionaries for unittesting b) the insecurity of pickle c) the fact that pickled data doesn't unpickle properly...
[ "json.loads", "json.dumps", "pickle.load", "pandas.read_json", "datetime.date.fromisoformat" ]
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# ex:ts=4:sw=4:sts=4:et # -*- tab-width: 4; c-basic-offset: 4; indent-tabs-mode: nil -*- import copy import json import re from svtplay_dl.error import ServiceError from svtplay_dl.fetcher.hls import hlsparse from svtplay_dl.fetcher.http import HTTP from svtplay_dl.service import OpenGraphThumbMixin from svtplay_dl.se...
[ "json.loads", "svtplay_dl.error.ServiceError", "copy.copy", "re.search" ]
[((523, 585), 're.search', 're.search', (['"""data-config-url="([^"]+)" data-fallback-url"""', 'data'], {}), '(\'data-config-url="([^"]+)" data-fallback-url\', data)\n', (532, 585), False, 'import re\n'), ((616, 676), 're.search', 're.search', (['"""vimeo\\\\.clip_page_config\\\\s*=\\\\s*({.+?});"""', 'data'], {}), "('...
"""Test tilted backpropagation algorithm""" import numpy as np import odtbrain from common_methods import create_test_sino_3d, create_test_sino_3d_tilted, \ cutout, get_test_parameter_set def test_3d_backprop_phase_real(): sino, angles = create_test_sino_3d() parameters = get_test_parameter_set(2) #...
[ "numpy.allclose", "common_methods.get_test_parameter_set", "odtbrain.backpropagate_3d_tilted", "numpy.array", "numpy.dot", "common_methods.create_test_sino_3d_tilted", "common_methods.cutout", "numpy.cos", "numpy.sin", "odtbrain.backpropagate_3d", "common_methods.create_test_sino_3d" ]
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from torchvision import datasets, transforms import torch from torch.utils.data.sampler import SubsetRandomSampler import numpy as np def load_train_data(dataset_name, batch_size, val_split=0.9, dataset_seed=0, resolution=32): if dataset_name.lower() == "mnist": dataset = datasets.MNIST('./data/mnist', tr...
[ "torch.utils.data.sampler.SubsetRandomSampler", "torchvision.transforms.Grayscale", "numpy.random.seed", "torch.utils.data.DataLoader", "torchvision.transforms.Resize", "torchvision.transforms.ToTensor", "numpy.random.shuffle" ]
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import pytest from medipack.lib.time import Time def test_get_time(): assert Time.get_time('0:5') == '00:00:05' def test_relative_time(): assert Time.get_relative_time('0:5','0:15') == '00:00:10'
[ "medipack.lib.time.Time.get_time", "medipack.lib.time.Time.get_relative_time" ]
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from kivymd.uix.screen import MDScreen from kivy.lang import Builder from conexion_BD import Conexion_BD from kivymd.app import MDApp # importado para ir al enlace import webbrowser #importando la pantalla de navegacion from navigation_screen import NavigationScreen kv=""" <LoginScreen>: name:'login_s...
[ "navigation_screen.NavigationScreen", "kivy.lang.Builder.load_string", "webbrowser.open", "kivymd.app.MDApp.get_running_app", "conexion_BD.Conexion_BD" ]
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# automatically generated by the FlatBuffers compiler, do not modify # namespace: FBS import flatbuffers class FBody(object): __slots__ = ["_tab"] # FBody def Init(self, buf, pos): self._tab = flatbuffers.table.Table(buf, pos) # FBody def Velocity(self, obj): obj.Init(self._tab...
[ "flatbuffers.table.Table" ]
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import re from typing import Dict, List, Tuple import h5py import numpy as np from logzero import logger from trcdproc.core import ( H5File, Dataset, Group, subgroups, datasets, ) from trcdproc.navigate.common import wavelength_set from trcdproc.reorganize.common import recursive_copy def is_wit...
[ "trcdproc.core.subgroups", "re.compile", "trcdproc.core.datasets", "trcdproc.navigate.common.wavelength_set", "h5py.File", "logzero.logger.info", "trcdproc.reorganize.common.recursive_copy", "logzero.logger.debug" ]
[((1228, 1256), 're.compile', 're.compile', (['"""spectrum(\\\\d+)"""'], {}), "('spectrum(\\\\d+)')\n", (1238, 1256), False, 'import re\n'), ((1306, 1325), 'trcdproc.core.subgroups', 'subgroups', (['old_file'], {}), '(old_file)\n', (1315, 1325), False, 'from trcdproc.core import H5File, Dataset, Group, subgroups, datas...
# This code is part of Qiskit. # # (C) Copyright IBM 2017, 2019. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivat...
[ "qiskit.quantum_info.operators.predicates.is_identity_matrix", "numpy.allclose", "numpy.sqrt", "numpy.conj", "qiskit.quantum_info.operators.mixins.generate_apidocs", "qiskit.quantum_info.operators.op_shape.OpShape.auto", "numpy.asarray", "qiskit.quantum_info.operators.channel.transformations._to_kraus...
[((12941, 12964), 'qiskit.quantum_info.operators.mixins.generate_apidocs', 'generate_apidocs', (['Kraus'], {}), '(Kraus)\n', (12957, 12964), False, 'from qiskit.quantum_info.operators.mixins import generate_apidocs\n'), ((8055, 8102), 'qiskit.quantum_info.operators.predicates.is_identity_matrix', 'is_identity_matrix', ...
import json import textwrap from redict import utils class JsonMinifyTestCase: def template(self, json_string, expected): in_dict = json.loads(utils.json_minify(json_string)) expected_dict = json.loads(expected) assert in_dict == expected_dict def test_1(self): json_string =...
[ "redict.utils.json_minify", "textwrap.dedent", "json.loads" ]
[((215, 235), 'json.loads', 'json.loads', (['expected'], {}), '(expected)\n', (225, 235), False, 'import json\n'), ((321, 944), 'textwrap.dedent', 'textwrap.dedent', (['"""\n // this is a JSON file with comments\n {\n "foo": "bar", // this is cool\n "bar": [\n ...
import datetime from .data import subset_data_GBP from .data import country_subset today = datetime.datetime.today().strftime('%Y-%m-%d') subset_data_GBP.process_data_GBP('./data/raw/winemag-data-130k-v2.csv') country_subset.get_country(f'./data/interim/{today}-winemag_priceGBP.csv', 'Chile')
[ "datetime.datetime.today" ]
[((92, 117), 'datetime.datetime.today', 'datetime.datetime.today', ([], {}), '()\n', (115, 117), False, 'import datetime\n')]
import re PATTERN = re.compile(r"""^([0-9A-Fa-f]+) # (first code) (\.\.([0-9A-Fa-f]+))? # (.. last code)? \s* ; # ; \s* (\w+) # (property name) ...
[ "re.compile" ]
[((22, 437), 're.compile', 're.compile', (['"""^([0-9A-Fa-f]+) # (first code)\n (\\\\.\\\\.([0-9A-Fa-f]+))? # (.. last code)?\n \\\\s*\n ; # ;\n \\\\s*\n (\\\\w+) ...