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#!/usr/bin/env python import json import requests import loginsightwebhookdemo import conftest def test_parse(): try: loginsightwebhookdemo.parse({"abc": "123"}) except AttributeError: assert True else: assert False def test_parse_LI_MQ(): alert = loginsightwebhookdemo.par...
[ "loginsightwebhookdemo.parseLI", "json.loads", "conftest.client.post", "conftest.client.get", "loginsightwebhookdemo.callapi", "loginsightwebhookdemo.parse" ]
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# coding: utf-8 """ ELEMENTS API The version of the OpenAPI document: 2 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from elements_sdk.configuration import Configuration class Proxy(object): """NOTE: This class is auto generated by OpenAPI Gen...
[ "six.iteritems", "elements_sdk.configuration.Configuration" ]
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from gi.repository import Gio from gi.repository import GLib from typing import NamedTuple from .. import config from ..dbus_utils import DBusServer, dict_to_vardict from .kolibri_service import KolibriServiceManager from .kolibri_search_handler import LocalSearchHandler INACTIVITY_TIMEOUT_MS = 30 * 1000 # 30 sec...
[ "gi.repository.Gio.bus_unown_name", "gi.repository.Gio.bus_watch_name_on_connection", "gi.repository.Gio.Application.do_startup", "gi.repository.GLib.source_remove", "gi.repository.Gio.bus_get_finish", "gi.repository.Gio.bus_get", "gi.repository.GLib.VariantType", "gi.repository.Gio.Application.do_shu...
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def server(PORT=8000): import http.server import socketserver Handler = http.server.SimpleHTTPRequestHandler httpd = socketserver.TCPServer(("", PORT), Handler) print("Server started at port", PORT) httpd.serve_forever()
[ "socketserver.TCPServer" ]
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"""Callable classes for Containerized Processors. Currently we don't offer functionalities to clean up the containers after the program finishes. Use the following commands to clean up the containers started by this module. $ docker stop -t 0 $(docker ps -a -q --filter="name=GABRIELTOOL") """ import ast import c...
[ "docker.from_env", "io.BytesIO", "os.path.abspath", "os.getpid", "tensorflow_serving.config.model_server_config_pb2.ModelServerConfig", "cv2.cvtColor", "copy.copy", "logzero.logger.info", "time.sleep", "cv2.imread", "google.protobuf.text_format.MessageToString", "cv2.imencode", "ast.literal_...
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import distutils.util import os import matplotlib.pyplot as plt import numpy as np def print_arguments(args): print("----------- Configuration Arguments -----------") for arg, value in sorted(vars(args).items()): print("%s: %s" % (arg, value)) print("---------------------------------------------...
[ "matplotlib.pyplot.title", "numpy.sum", "matplotlib.pyplot.figure", "matplotlib.pyplot.gca", "numpy.set_printoptions", "numpy.meshgrid", "matplotlib.pyplot.imshow", "os.path.dirname", "matplotlib.pyplot.yticks", "matplotlib.pyplot.colorbar", "numpy.max", "matplotlib.pyplot.xticks", "matplotl...
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try: import _thread except ImportError: raise Exception( '_thread does not exist. Are you sure you are using the correct version of micropython?') try: from ucollections import deque as _deque except ImportError: raise Exception( 'UCollections Deque does not exist. Are you sure you are ...
[ "utime.ticks_us", "time.monotonic", "ucollections.deque", "itertools.islice" ]
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import os from subprocess import call from colorama import init, Fore init(autoreset = True) def err(string): print(Fore.RED + 'Error: ' + string) def err_no_args(command): err(f"Command `{command}` can't have 0 arguments") def interpret_command(cmd): cmd = cmd.split(' ') command = cmd[0] args = cmd[1:] if...
[ "colorama.init", "os.mkdir", "os.remove", "os.listdir", "os.getcwd", "os.path.exists", "os.rmdir", "os.chdir" ]
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#!/usr/bin/python # Copyright (c) 2020, 2022 Oracle and/or its affiliates. # This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license. # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) # Apache License v2.0 # See LICENSE.TXT for d...
[ "ansible_collections.oracle.oci.plugins.module_utils.oci_common_utils.call_with_backoff", "ansible_collections.oracle.oci.plugins.module_utils.oci_common_utils.list_all_resources", "ansible_collections.oracle.oci.plugins.module_utils.oci_common_utils.get_common_arg_spec", "ansible_collections.oracle.oci.plugi...
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"""Fixtures and utilities for integration tests.""" import pytest @pytest.fixture(scope="module") def state(): """Fixture instance to hold the (incremental) test state.""" class State: pass return State()
[ "pytest.fixture" ]
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import pickle import pandas as pd from flask import Flask, request, Response from rossmann.Rossmann import Rossmann # loading model model = pickle.load(open('C:/Users/felip/repos/data_science_em_producao/Model/model_rossmann.pkl', 'rb')) # initialize API app = Flask(__name__) # Endpoint @app.route('/rossmann/predict...
[ "pandas.DataFrame", "rossmann.Rossmann.Rossmann", "flask.Flask", "flask.Response", "flask.request.get_json" ]
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"""PyTorch trainer module. - Author: <NAME> - Contact: <EMAIL> """ from typing import Optional, Tuple, Union import numpy as np import torch import torch.nn as nn import torch.optim as optim from torch.utils.data.dataloader import DataLoader from torch.utils.data.sampler import SequentialSampler, SubsetRandomSampler...
[ "torch.no_grad", "torch.max", "numpy.random.shuffle", "torch.device" ]
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from __future__ import print_function import unittest from const import PREFIX, USER from bank import bank bank = bank() class TestBank(unittest.TestCase): redis = bank.redis username = 'foo' password = '<PASSWORD>' account_key = PREFIX['account'] + username def test_signup(self): if self.redis.exists(self.ac...
[ "bank.bank.deposit", "bank.bank.login", "unittest.TextTestRunner", "unittest.TestSuite", "bank.bank", "bank.bank.balance", "bank.bank.logout", "bank.bank.transactions", "bank.bank.signup", "bank.bank.withdraw" ]
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# This file is Copyright 2020 Volatility Foundation and licensed under the Volatility Software License 1.0 # which is available at https://www.volatilityfoundation.org/license/vsl-v1.0 # import base64 import json import logging import os import pathlib import zipfile from typing import List, Type, Any, Generator from ...
[ "volatility3.framework.configuration.requirements.ListRequirement", "json.load", "zipfile.ZipFile", "volatility3.framework.renderers.NotAvailableValue", "volatility3.framework.layers.resources.ResourceAccessor", "os.path.basename", "volatility3.framework.configuration.requirements.URIRequirement", "os...
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#!/usr/bin/env python import loginsightwebhookdemo import loginsightwebhookdemo.bigpanda import conftest client = loginsightwebhookdemo.app.test_client() TOKEN = 'a-b-c-d' APPKEY = 'abc123' def test_bigpanda_nourl(): loginsightwebhookdemo.bigpanda.bigpandaURL = '' rsp = client.post('/endpoint/bigpanda'...
[ "loginsightwebhookdemo.app.test_client" ]
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import matplotlib import shapely.geometry import numpy as np from owl_augmentator.owl_augmentator import augment, augment_class, AugmentationType import owlready2 from .utils import * from shapely.geometry import Polygon, Point, LineString, MultiPolygon from shapely import wkt from matplotlib import pyplot as plt _...
[ "shapely.geometry.Point", "matplotlib.pyplot.show", "shapely.geometry.Polygon", "matplotlib.pyplot.plot", "owl_augmentator.owl_augmentator.augment", "matplotlib.pyplot.fill", "matplotlib.pyplot.axis", "shapely.geometry.LineString", "numpy.arange", "shapely.wkt.loads" ]
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from ..models import User, AnonymousUser from .. import app, db,login_manager from . import main from flask import request, make_response, jsonify import json from flask_login import logout_user, login_user,current_user,login_required login_manager.login_view = 'main.login' @main.route('/') def index(): User_num =...
[ "flask.jsonify", "flask_login.login_user", "json.loads", "flask_login.logout_user" ]
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import sys, os from pathlib import Path from copy import deepcopy, copy import omnibelt as belt from collections import defaultdict, OrderedDict from omnibelt import save_yaml, load_yaml, get_printer from .util import primitives, global_settings, configurize, pythonize, ConfigurizeFailed from .errors impor...
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import shutil import time from contextlib import redirect_stdout from io import StringIO from pathlib import Path from tempfile import TemporaryDirectory from threading import Thread from typer.testing import CliRunner from cc_server.main import CookiecutterServer, app from tests import test_template_dir runner = Cl...
[ "io.StringIO", "tempfile.TemporaryDirectory", "cc_server.main.CookiecutterServer", "time.sleep", "pathlib.Path", "contextlib.redirect_stdout", "shutil.copytree", "typer.testing.CliRunner" ]
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from finite_state_machine import StateMachine, transition def is_approved_or_is_admin(machine, user): return machine.num_approvals >= 1 or user.is_admin class GitHubPullRequest(StateMachine): """State Machine to represent a GitHub Pull Request workflow""" def __init__(self): self.state = "opene...
[ "finite_state_machine.transition" ]
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"Main Flask App" # pylint: disable=import-outside-toplevel from logging import Logger from typing import List from flask import Flask, jsonify, abort, request from flask_accepts import accepts, responds from flask_praetorian import Praetorian, auth_required, roles_required from flask_restx import Api, Resource, Namesp...
[ "flask_restx.Api", "flask_sqlalchemy.SQLAlchemy", "flask_praetorian.Praetorian", "flask.Flask" ]
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from functools import wraps from inspect import isawaitable from sanic import Request from sanic.exceptions import Unauthorized from auth.access_token import check_access_token, get_token_from_request def protected(maybe_func=None, *, arg1=None, arg2=None): def decorator(f): @wraps(f) async def ...
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#!/usr/local/bin/python # -*- coding: utf-8 -*- # # Copyright (c) 2007-2021. The YARA Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.or...
[ "unittest.main", "yara.compile", "os.remove", "io.BytesIO", "yara.load", "tempfile.gettempdir", "yara.set_config", "tempfile.TemporaryFile", "binascii.unhexlify", "os.path.join", "StringIO.StringIO" ]
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# Ported from LiquidMetal # https://github.com/rmm5t/liquidmetal SCORE_NO_MATCH = 0.0 SCORE_MATCH = 1.0 SCORE_TRAILING = 0.8 SCORE_TRAILING_BUT_STARTED = 0.9 SCORE_BUFFER = 0.85 WORD_SEPARATORS = ' \t_-' def score(string, abbrev): # short circuits if len(string) < len(abbrev): # string, abbrev = abbr...
[ "time.clock" ]
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from __future__ import absolute_import from Queue import Queue from threading import Event from time import sleep from context import Model def test_load_animation(oledcontroller): message_queue = Queue(1) cancellation_token = Event() message_queue.put('Event 1') t = oledcontroller.run_load_animation...
[ "context.Model.OLEDController", "Queue.Queue", "threading.Event", "time.sleep" ]
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import os, math, sys, re, fnmatch import numpy as np import matplotlib.pyplot as plt import matplotlib.colors as colors from matplotlib import cm from mpl_toolkits.axes_grid1 import make_axes_locatable from mpl_toolkits.axes_grid1.inset_locator import inset_axes import unwrap import scipy.constants as constants pl...
[ "fnmatch.filter", "os.mkdir", "os.path.join", "math.atan2", "os.path.isdir", "os.walk", "re.findall", "matplotlib.pyplot.rcParams.update", "os.path.splitext", "numpy.array", "os.path.expanduser" ]
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"""Create Figure 7a (top panel) of the paper""" import PyOSE import matplotlib.pyplot as plt import matplotlib.cm as cm from matplotlib import rc from numpy import pi # Set stellar parameters StellarRadius = 0.7 * 696342. # km limb1 = 0.5971 limb2 = 0.1172 # Set planet parameters PlanetRadius = 6371 * 4.8 PlanetAx...
[ "matplotlib.pyplot.show", "matplotlib.pyplot.plot", "matplotlib.pyplot.axes", "matplotlib.pyplot.imshow", "matplotlib.pyplot.axis", "PyOSE.timeaxis", "matplotlib.pyplot.rc", "PyOSE.river", "matplotlib.pyplot.tick_params", "matplotlib.pyplot.ylabel", "matplotlib.pyplot.xlabel", "matplotlib.pypl...
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#!/usr/bin/env python from os.path import dirname, join from tornado.httpserver import HTTPServer from tornado.ioloop import IOLoop from tornado.web import Application from tornado.options import define, options, parse_command_line from amgut import media_locale from amgut.handlers.base_handlers import ( MainHa...
[ "tornado.options.parse_command_line", "tornado.ioloop.IOLoop.instance", "os.path.dirname", "amgut.lib.startup_tests.startup_tests", "tornado.options.define", "os.path.join" ]
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from yarl import URL from flask import current_app from . import models try: from .__version__ import __version__ except ImportError: import subprocess status, output = subprocess.getstatusoutput('git describe --tags') if status == 0: __version__ = output.strip() else: __version__ = ...
[ "subprocess.getstatusoutput" ]
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#!/usr/bin/env python # coding: utf-8 from __future__ import with_statement, unicode_literals import datetime import glob import io # For Python 2 compatibility import os import re year = str(datetime.datetime.now().year) for fn in glob.glob('*.html*'): with io.open(fn, encoding='utf-8') as f: content =...
[ "os.rename", "datetime.datetime.now", "io.open", "glob.glob", "re.sub" ]
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from compiler.ast import * import os import AST # This is just and istance of Mul to use when we group numerators and # denominators _EMPTY_MUL = Mul((None, None)) def dict2TeX(d, name_dict, lhs_form='%s', split_terms=False, simpleTeX=False): lines = [] for lhs, rhs in d.items(): if split_terms: ...
[ "AST.strip_parse", "AST._need_parens", "AST._collect_num_denom", "os.linesep.join", "AST._collect_pos_neg" ]
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# -*- coding: utf-8 -*- # Copyright (c) 2015 Ericsson AB # # 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 ...
[ "calvin.actor.actor.ActionResult", "calvin.actor.actor.guard", "calvin.actor.actor.manage", "calvin.actor.actor.condition" ]
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import torch import torch.nn as nn import torch.nn.functional as F # ============================= # Networks # ============================= class ERFANet(nn.Module): # Effective Receptive Attention Network def __init__(self, in_ch, width, class_no, attention_type, dilation, mode='all', identity_add=True)...
[ "torch.nn.ReLU", "torch.nn.Conv2d", "torch.cat", "torch.nn.InstanceNorm2d", "torch.nn.Sigmoid", "torch.nn.Upsample", "torch.nn.functional.pad" ]
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"""Simple Kalman filter implementation for single-channel feed""" from math import fabs class KalmanFilter: """Simple Kalman filter for single values.""" def __init__(self, measurement_uncertainty, q=0.01, estimation_uncertainty=None) -> None: """Initialize the filter. The initial estimation...
[ "math.fabs" ]
[((1462, 1505), 'math.fabs', 'fabs', (['(self.last_estimate - current_estimate)'], {}), '(self.last_estimate - current_estimate)\n', (1466, 1505), False, 'from math import fabs\n')]
from datetime import datetime from marshmallow import Schema, fields class EventSchema(Schema): event_type_name = fields.Str() occurred_on = fields.DateTime() class EventMessage: # A constant that subscriber can use in their "listens_to" events to # tell they are interested in all the events that ...
[ "marshmallow.fields.Str", "marshmallow.fields.DateTime", "datetime.datetime.now" ]
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## # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the...
[ "pandas.DataFrame", "pycylon.Table.from_list", "numpy.full", "os.path.exists", "pycylon.net.MPIConfig", "pycylon.io.read_csv", "pycylon.Table.concat", "pycylon.io.CSVReadOptions", "numpy.array", "pycylon.Table.from_pandas", "pycylon.CylonContext", "pandas.concat", "pycylon.Table.from_pydict"...
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from django.db import models from django.contrib.auth.base_user import BaseUserManager from django.contrib.auth.models import AbstractUser from django.db.models.signals import post_delete, post_save from .signals import delete_profile_pic, resize_profile_pic class CustomUserManager(BaseUserManager): """ Cust...
[ "django.db.models.signals.post_delete.connect", "django.db.models.OneToOneField", "django.db.models.URLField", "django.db.models.CharField", "django.db.models.EmailField", "django.db.models.ImageField", "django.db.models.DateField", "django.db.models.signals.post_save.connect" ]
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import unittest from fastest.type.type_usage_patterns import used_as_int from fastest.type.type_usage_patterns import used_as_str from fastest.type.type_usage_patterns import used_as_iterable from fastest.type.type_usage_patterns import used_as_list from fastest.type.type_usage_patterns import used_as_tuple from faste...
[ "fastest.type.type_usage_patterns.used_as_tuple", "fastest.type.type_usage_patterns.used_as_list", "fastest.type.type_usage_patterns.used_as_iterable", "fastest.type.type_usage_patterns.used_as_str", "fastest.type.type_usage_patterns.used_as_int", "fastest.type.type_usage_patterns.used_as_dict" ]
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# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import torch import torch.nn.functional as F from torch import nn from maskrcnn_benchmark.structures.bounding_box_3d import BoxList3D from maskrcnn_benchmark.structures.boxlist_ops_3d import boxlist_nms_3d from maskrcnn_benchmark.structures.boxlis...
[ "maskrcnn_benchmark.modeling.box_coder_3d.BoxCoder3D", "torch.nonzero", "torch.cat", "torch.full", "torch.nn.functional.softmax", "maskrcnn_benchmark.structures.boxlist_ops_3d.cat_boxlist_3d", "maskrcnn_benchmark.structures.bounding_box_3d.BoxList3D", "pdb.set_trace", "maskrcnn_benchmark.structures....
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import abc import argparse import logging import sys from typing import TYPE_CHECKING from uroboros import errors from uroboros import utils from uroboros.constants import ExitStatus if TYPE_CHECKING: from typing import List, Dict, Optional, Union, Set from uroboros.option import Option CommandDict = Dict...
[ "uroboros.utils.call_one_by_one", "uroboros.utils.get_args_section_name", "uroboros.errors.CommandDuplicateError", "uroboros.errors.CommandNotRegisteredError", "uroboros.constants.ExitStatus", "uroboros.utils.get_args_command_name", "logging.getLogger" ]
[((448, 475), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (465, 475), False, 'import logging\n'), ((4429, 4469), 'uroboros.utils.get_args_command_name', 'utils.get_args_command_name', (['self._layer'], {}), '(self._layer)\n', (4456, 4469), False, 'from uroboros import utils\n'), ((1026...
import csv import csv from Bio import SeqIO prokka_fasta = "$HOME/Bioinformatics_data/lferriphilum/analysis/DNA/04_genome_annotation/prokka/20_LFerr_genome_assembly_final/LFerr.ffn" eggNOG_ann = "$HOME/Bioinformatics_data/lferriphilum/analysis/DNA/04_genome_annotation/eggNOG-mapper/LFerr.ffn.emapper.annotations" outpu...
[ "csv.reader", "Bio.SeqIO.write", "Bio.SeqIO.parse" ]
[((744, 778), 'Bio.SeqIO.parse', 'SeqIO.parse', (['prokka_fasta', '"""fasta"""'], {}), "(prokka_fasta, 'fasta')\n", (755, 778), False, 'from Bio import SeqIO\n'), ((519, 554), 'csv.reader', 'csv.reader', (['csvfile'], {'delimiter': '"""\t"""'}), "(csvfile, delimiter='\\t')\n", (529, 554), False, 'import csv\n'), ((1187...
# 3. Supermarket # Write a program which reads an input consisting of a name and adds it to a queue until "End" is received. # If you receive "Paid", print every customer's name, and empty the queue. # Otherwise, you will receive a client and you should add them to the queue. # When you receive "End", you must print th...
[ "collections.deque" ]
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from honeybee_schema.model import Model from honeybee_schema.energy.properties import ModelEnergyProperties import os # target folder where all of the samples live root = os.path.dirname(os.path.dirname(__file__)) target_folder = os.path.join(root, 'samples', 'model') target_folder_large = os.path.join(root, 'samples'...
[ "honeybee_schema.model.Model.parse_file", "os.path.dirname", "honeybee_schema.energy.properties.ModelEnergyProperties.parse_file", "os.path.join" ]
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from PyDigger.common import remove_db remove_db()
[ "PyDigger.common.remove_db" ]
[((38, 49), 'PyDigger.common.remove_db', 'remove_db', ([], {}), '()\n', (47, 49), False, 'from PyDigger.common import remove_db\n')]
from __future__ import print_function import logging import os.path import sys from argparse import ArgumentParser from esolang import INTERPRETERS def list_languages(): print("Available languages:") for cls in INTERPRETERS: print(" - %s (%s)" % (cls.lang, cls.ext)) def select_interpreter(filenam...
[ "sys.exit", "argparse.ArgumentParser", "logging.basicConfig" ]
[((1327, 1404), 'argparse.ArgumentParser', 'ArgumentParser', ([], {'description': '"""Run esoteric programming language source files."""'}), "(description='Run esoteric programming language source files.')\n", (1341, 1404), False, 'from argparse import ArgumentParser\n'), ((2217, 2257), 'logging.basicConfig', 'logging....
import logging import uuid import base64 from urllib.parse import urlencode import os import requests from django.http import HttpResponse, Http404, HttpResponseBadRequest, HttpResponseRedirect from django.views.generic import TemplateView from django.contrib.auth import logout from django.contrib import messages fro...
[ "uuid.uuid4", "urllib.parse.urlencode", "django.http.HttpResponseBadRequest", "django.contrib.auth.logout", "django.http.HttpResponseRedirect", "logging.getLogger" ]
[((347, 374), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (364, 374), False, 'import logging\n'), ((4363, 4378), 'django.contrib.auth.logout', 'logout', (['request'], {}), '(request)\n', (4369, 4378), False, 'from django.contrib.auth import logout\n'), ((3866, 3896), 'django.http.HttpR...
from __future__ import print_function import shutil import struct import tempfile import unittest import os from manticore.core.plugin import Plugin from manticore.core.smtlib import ConstraintSet, operators from manticore.core.smtlib.expression import BitVec from manticore.core.smtlib import solver from manticore.cor...
[ "manticore.utils.log.init_logging", "manticore.ethereum.ABI.parse", "manticore.core.smtlib.expression.BitVec", "manticore.ethereum.ABI.serialize_uint", "shutil.rmtree", "os.path.join", "manticore.platforms.evm.Return", "manticore.core.smtlib.ConstraintSet", "os.path.abspath", "manticore.platforms....
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# Generated by Django 3.2.4 on 2021-10-27 13:10 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("oidc", "0002_eauthorizationprofile"), ] operations = [ migrations.RemoveField( model_name="oidcprofile", name="user", ...
[ "django.db.migrations.RemoveField", "django.db.migrations.DeleteModel" ]
[((227, 288), 'django.db.migrations.RemoveField', 'migrations.RemoveField', ([], {'model_name': '"""oidcprofile"""', 'name': '"""user"""'}), "(model_name='oidcprofile', name='user')\n", (249, 288), False, 'from django.db import migrations\n'), ((333, 385), 'django.db.migrations.DeleteModel', 'migrations.DeleteModel', (...
# Helper function to read in tables from the annotations # from bs4 import BeautifulSoup as bs from html import escape def format_html(img): ''' Formats HTML code from tokenized annotation of img ''' html_code = img['html']['structure']['tokens'].copy() to_insert = [i for i, tag in enumerate(html_code)...
[ "html.escape" ]
[((462, 475), 'html.escape', 'escape', (['token'], {}), '(token)\n', (468, 475), False, 'from html import escape\n')]
import numpy from numpy.testing import assert_equal, assert_almost_equal class Toroid(object): def __init__(self, coeff=None): self.r_maj = 1e10 # initialize as plane self.r_min = 1e10 # initialize as plane if coeff is not None: self.coeff = coeff.copy() else: ...
[ "numpy.roots", "numpy.zeros_like", "numpy.ones_like", "numpy.zeros", "numpy.array", "numpy.cos", "numpy.sqrt" ]
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#! /usr/bin/env python # # GUI module generated by PAGE version 4.2 # In conjunction with Tcl version 8.6 # Jan. 27, 2014 12:16:35 AM import sys try: from Tkinter import * except ImportError: from tkinter import * try: import ttk py3 = 0 except ImportError: import tkinter.ttk as ttk py3 = 1...
[ "tkinter.ttk.Panedwindow", "tkinter.ttk.Labelframe", "complex_support.set_Tk_var", "tkinter.ttk.Style", "complex_support.init", "tkinter.ttk.Frame", "tkinter.ttk.Sizegrip", "tkinter.ttk.Notebook" ]
[((539, 567), 'complex_support.set_Tk_var', 'complex_support.set_Tk_var', ([], {}), '()\n', (565, 567), False, 'import complex_support\n'), ((621, 650), 'complex_support.init', 'complex_support.init', (['root', 'w'], {}), '(root, w)\n', (641, 650), False, 'import complex_support\n'), ((898, 926), 'complex_support.set_T...
from bs4 import BeautifulSoup class PrettifyMiddleware(object): def process_response(self, request, response): if response.status_code == 200: if response["content-type"].startswith("text/html"): beauty = BeautifulSoup(response.content) response.content = beauty....
[ "bs4.BeautifulSoup" ]
[((246, 277), 'bs4.BeautifulSoup', 'BeautifulSoup', (['response.content'], {}), '(response.content)\n', (259, 277), False, 'from bs4 import BeautifulSoup\n')]
import os import string try: import pegtree as pg except ModuleNotFoundError: os.system('pip install pegtree') import pegtree as pg _PEG = ''' Start = { (Param / { (!Param .)* } )* } Param = LQuote / Quote / DoubleQuote / BackQuote / Data / FuncName / MaybeName / CellName/ VarName / Cla...
[ "os.path.abspath", "os.path.exists", "os.system", "pegtree.grammar" ]
[((1560, 1576), 'pegtree.grammar', 'pg.grammar', (['_PEG'], {}), '(_PEG)\n', (1570, 1576), True, 'import pegtree as pg\n'), ((87, 119), 'os.system', 'os.system', (['"""pip install pegtree"""'], {}), "('pip install pegtree')\n", (96, 119), False, 'import os\n'), ((2827, 2852), 'os.path.abspath', 'os.path.abspath', (['__...
""" Methods for loading data sets. """ # ----------------------------------------------------------------------------- # IMPORTS # ----------------------------------------------------------------------------- from pathlib import Path from typing import Any, Dict, Optional, Tuple, Union from astropy.units import Quan...
[ "hsr4hci.observing_conditions.ObservingConditions", "h5py.File", "astropy.units.Quantity", "hsr4hci.config.get_datasets_dir", "pathlib.Path", "numpy.array", "hsr4hci.general.prestack_array" ]
[((3399, 3459), 'hsr4hci.general.prestack_array', 'prestack_array', ([], {'array': 'parang', 'stacking_factor': 'binning_factor'}), '(array=parang, stacking_factor=binning_factor)\n', (3413, 3459), False, 'from hsr4hci.general import prestack_array\n'), ((5930, 5972), 'hsr4hci.observing_conditions.ObservingConditions',...
import inspect import factory from pytest_factoryboy import register from rgd_testing_utils import factories as tfactories from rgd_testing_utils.data_fixtures import * # noqa from . import factories for _, fac in inspect.getmembers(tfactories): if inspect.isclass(fac) and issubclass(fac, factory.Factory): ...
[ "inspect.isclass", "pytest_factoryboy.register", "inspect.getmembers" ]
[((218, 248), 'inspect.getmembers', 'inspect.getmembers', (['tfactories'], {}), '(tfactories)\n', (236, 248), False, 'import inspect\n'), ((353, 382), 'inspect.getmembers', 'inspect.getmembers', (['factories'], {}), '(factories)\n', (371, 382), False, 'import inspect\n'), ((257, 277), 'inspect.isclass', 'inspect.isclas...
# -*- coding: utf-8 -*- from collections import OrderedDict from pyshield import CONST LINE_LENGTH = 50 KW_COLUMN_LENGTH = 20 DOC_STRINGS = \ ((CONST.SOURCES, 'Specify a yaml file containing the information of the present sources.'), (CONST.SHIELDING, 'Specify a yaml file containing the inform...
[ "collections.OrderedDict" ]
[((4361, 4385), 'collections.OrderedDict', 'OrderedDict', (['DOC_STRINGS'], {}), '(DOC_STRINGS)\n', (4372, 4385), False, 'from collections import OrderedDict\n')]
from itertools import zip_longest from gi.repository import Gtk, Gdk, Gio, GdkPixbuf from ocrd_models import OcrdFile from pkg_resources import resource_filename from typing import List, Any, Optional from numpy import array as ndarray from .scandriver import DummyDriver, AndroidADBDriver, AbstractScanDriver, PageWar...
[ "gi.repository.Gtk.Box.__init__", "gi.repository.Gtk.Template.Child", "itertools.zip_longest", "gi.repository.Gtk.Template.Callback", "pkg_resources.resource_filename", "ocrd_browser.util.image.cv_scale", "ocrd_browser.util.image.cv_to_pixbuf" ]
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# ------------------------------------------------------------------------- # # Part of the CodeChecker project, under the Apache License v2.0 with # LLVM Exceptions. See LICENSE for license information. # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception # # ---------------------------------------------------...
[ "libtest.env.parts_to_url", "libtest.env.test_env", "libtest.env.import_test_cfg", "libtest.codechecker.check_and_store", "logging.debug", "libtest.env.setup_viewer_client", "libtest.env.setup_test_proj_cfg", "libtest.thrift_client_to_db.get_all_run_results", "libtest.env.get_run_names", "os.path....
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# -*- coding: utf-8 -*- """ Showcases *Hunt* colour appearance model computations. """ import numpy as np import colour from colour.appearance.hunt import CAM_ReferenceSpecification_Hunt from colour.utilities import message_box message_box('"Hunt" Colour Appearance Model Computations') XYZ = np.array([19.01, 20.00,...
[ "colour.utilities.message_box", "colour.appearance.hunt.CAM_ReferenceSpecification_Hunt", "numpy.array", "colour.XYZ_to_Hunt" ]
[((231, 289), 'colour.utilities.message_box', 'message_box', (['""""Hunt" Colour Appearance Model Computations"""'], {}), '(\'"Hunt" Colour Appearance Model Computations\')\n', (242, 289), False, 'from colour.utilities import message_box\n'), ((297, 327), 'numpy.array', 'np.array', (['[19.01, 20.0, 21.78]'], {}), '([19...
import os import pandas as pd from ms2pip.ms2pipC import MS2PIP TEST_DIR = os.path.dirname(__file__) def run_ms2pip(): """Run ms2pipC to predict peak intensities from a PEPREC file (HCD model). """ params = { "ms2pip": { "ptm": [ "Oxidation,15.994915,opt,M", ...
[ "os.path.dirname", "os.path.join" ]
[((79, 104), 'os.path.dirname', 'os.path.dirname', (['__file__'], {}), '(__file__)\n', (94, 104), False, 'import os\n'), ((602, 649), 'os.path.join', 'os.path.join', (['TEST_DIR', '"""test_data/test.peprec"""'], {}), "(TEST_DIR, 'test_data/test.peprec')\n", (614, 649), False, 'import os\n'), ((721, 785), 'os.path.join'...
""" This file implements the code used to generate figures for the paper. When imported, the figures and tables are saved to files. When run as a script, they are displayed as Matplotlib interactive figures and terminal output, respectively. """ from itertools import chain, repeat, starmap from os import makedirs fro...
[ "matplotlib.rc", "numpy.arctan2", "skg.gauss_pdf_fit.model", "numpy.isnan", "numpy.histogram", "numpy.sin", "numpy.arange", "numpy.exp", "scipy.linalg.lstsq", "numpy.random.normal", "numpy.interp", "os.path.isfile", "numpy.copysign", "numpy.round", "os.path.join", "numpy.sqrt", "nump...
[((7189, 7212), 'matplotlib.rc', 'rc', (['"""text"""'], {'usetex': '(True)'}), "('text', usetex=True)\n", (7191, 7212), False, 'from matplotlib import rc, cycler\n'), ((7213, 7223), 'matplotlib.pyplot.ioff', 'plt.ioff', ([], {}), '()\n', (7221, 7223), True, 'from matplotlib import pyplot as plt\n'), ((1907, 1936), 'mat...
# -*- coding: utf-8 -*- """Main module.""" from typing import Dict, Optional, Tuple, Union, List import torch import torch.nn as nn import torch.nn.functional as F from torch.distributions import Normal, Bernoulli, kl_divergence as kl from scvi.models.distributions import ZeroInflatedNegativeBinomial, NegativeBinomia...
[ "torch.ones_like", "torch.ones", "scvi.models.modules.EncoderTOTALVI", "torch.distributions.Bernoulli", "torch.unique", "torch.zeros_like", "scvi.models.distributions.NegativeBinomial", "torch.sqrt", "scvi.models.utils.one_hot", "scvi.models.log_likelihood.log_mixture_nb", "scvi.models.modules.D...
[((5369, 5610), 'scvi.models.modules.EncoderTOTALVI', 'EncoderTOTALVI', (['(n_input_genes + self.n_input_proteins)', 'n_latent'], {'n_layers': 'n_layers_encoder', 'n_cat_list': '([n_batch] if encoder_batch else None)', 'n_hidden': 'n_hidden', 'dropout_rate': 'dropout_rate_encoder', 'distribution': 'latent_distribution'...
import os import json import numpy as np import pandas as pd from spylunking.log.setup_logging import console_logger from celery_connectors.utils import ev from network_pipeline.consts import VALID from network_pipeline.consts import INVALID from network_pipeline.consts import ERROR from sklearn.model_selection import ...
[ "celery_connectors.utils.ev", "numpy.random.seed", "pandas.read_csv", "spylunking.log.setup_logging.console_logger", "sklearn.model_selection.train_test_split", "os.path.exists" ]
[((345, 390), 'spylunking.log.setup_logging.console_logger', 'console_logger', ([], {'name': '"""build_training_request"""'}), "(name='build_training_request')\n", (359, 390), False, 'from spylunking.log.setup_logging import console_logger\n'), ((443, 490), 'celery_connectors.utils.ev', 'ev', (['"""CSV_FILE"""', '"""/t...
""" Provide functions for tracking and saving annotations that have been accepted already. """ import json import dictdiffer from IPython.display import HTML, display from pathlib import Path def load_style(): """Load styles for BHSA divs.""" display(HTML(Path('bhsa.css').read_text())) class Tracker: de...
[ "dictdiffer.diff", "json.dump", "json.load", "pathlib.Path", "IPython.display.HTML" ]
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ The files should be layouted as following: - All generated CSV files should be placed somewhere within the 'Output' folder - Every set of CSV files that belong to one Tester should be placed in a separate subfolder for example, if a user Ahmet ran the simul...
[ "datetime.datetime.now", "os.path.join", "os.makedirs", "os.path.exists" ]
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# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. """ Classes used to define a grid search. `Launcher`: a launcher is passed to each grid search explore function, and can b...
[ "dataclasses.field", "copy.deepcopy", "treetable.leaf" ]
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# -*- coding: utf-8 -*- from datetime import datetime from time import mktime import feedparser import re class RSSEngine(object): IMG_TYPE_REGEXP = re.compile('image|img', re.I) def __init__(self, config): self.config = config def process(self, url): d = feedparser.parse(url) ...
[ "feedparser.parse", "time.mktime", "re.compile" ]
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import numpy as np def empirical_dist(arr): """ **empirical distribution function** $$ \\hat{F}_n (t) = \\frac{1}{n} \\sum_{i=1}^n 1_{X_i \\le t}$$ Arguments: - arr: 1d numeric array """ _arr_idx = np.argsort(arr) _arr = arr[_arr_idx] _x = np.repeat(_arr, 2) _y = np.repeat(...
[ "numpy.argsort", "numpy.pad", "numpy.size", "numpy.repeat" ]
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from django.conf.urls import url from django_jsonforms.tests.testapp import views urlpatterns = [ url(r'^testform/', views.JSONFormView.as_view(), name='testform'), url(r'^testformstatic/', views.JSONFormViewStatic.as_view(), name='testformstatic'), url(r'^testformdouble/', views.JSONFormViewDouble.as_view...
[ "django_jsonforms.tests.testapp.views.JSONFormView.as_view", "django_jsonforms.tests.testapp.views.JSONFormViewDouble.as_view", "django.conf.urls.url", "django_jsonforms.tests.testapp.views.JSONFormViewStatic.as_view" ]
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import unittest from unnecessary_math import multiply class TestUM(unittest.TestCase): def test_numbers_3_4(self): self.assertEqual(multiply(3, 4), 12)
[ "unnecessary_math.multiply" ]
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from sklearn.base import TransformerMixin import skorch import numpy as np import torch from skorch import NeuralNet import skorch import os from tempfile import mkdtemp from torch.nn import NLLLoss class NeuralNetBase(NeuralNet): """ Extends :class:`skorch.NeuralNet` mainly by including a functionality to ca...
[ "skorch.utils.to_tensor", "hashlib.md5", "numpy.random.seed", "torch.manual_seed", "torch.cuda.manual_seed", "os.path.isfile", "tempfile.mkdtemp" ]
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#!/usr/bin/env python """Celery Entrypoint for workers.""" from brewpi.app import celery, create_app # noqa app = create_app() app.app_context().push()
[ "brewpi.app.create_app" ]
[((116, 128), 'brewpi.app.create_app', 'create_app', ([], {}), '()\n', (126, 128), False, 'from brewpi.app import celery, create_app\n')]
import pytest from .ic_45_graph_coloring import color_graph_first_available_slightly_faster from .problem_solve_util import GraphNode colors = ['red', 'blue', 'green', 'yellow', 'purple', 'pink', 'orange'] def get_colors_for_graph(graph): """ Given a graph, returns a list of colors whose length is D + 1 where D =...
[ "pytest.raises" ]
[((3341, 3366), 'pytest.raises', 'pytest.raises', (['ValueError'], {}), '(ValueError)\n', (3354, 3366), False, 'import pytest\n')]
"""Implementation of Rule L006.""" from typing import Tuple, List from sqlfluff.core.parser import WhitespaceSegment from sqlfluff.core.rules.base import ( BaseRule, LintResult, LintFix, RuleContext, EvalResultType, ) from sqlfluff.core.rules.doc_decorators import document_fix_compatible, docume...
[ "sqlfluff.core.parser.WhitespaceSegment", "sqlfluff.core.rules.base.LintResult" ]
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#! /usr/bin/python # -*- coding: utf-8 -*- import tensorflow as tf from tensorlayer.layers.core import Layer from tensorlayer import logging from tensorlayer.decorators import deprecated_alias __all__ = [ 'UpSampling2dLayer', 'DownSampling2dLayer', ] class UpSampling2dLayer(Layer): """The :class:`UpS...
[ "tensorflow.image.resize_images", "tensorlayer.logging.info", "tensorflow.variable_scope", "tensorflow.shape", "tensorlayer.decorators.deprecated_alias" ]
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from typing import Callable, Dict, Iterable, Tuple, Union import itertools import numpy as np import pandas as pd import lmfit from covid19_data_analyzer.data_functions.data_utils import ( get_fit_param_results_row, params_to_df, ) from covid19_data_analyzer.data_functions.scrapers import ALLOWED_SOURCES, g...
[ "pandas.DataFrame", "covid19_data_analyzer.data_functions.data_utils.params_to_df", "covid19_data_analyzer.data_functions.data_utils.get_data_path", "pandas.merge", "covid19_data_analyzer.data_functions.scrapers.get_data", "numpy.arange", "pandas.Series", "covid19_data_analyzer.data_functions.data_uti...
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# Generated by Django 2.2.11 on 2020-03-18 19:37 from django.conf import settings import django.core.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ...
[ "django.db.migrations.swappable_dependency", "django.db.migrations.RenameModel", "django.db.models.ForeignKey", "django.db.models.CharField", "django.db.migrations.DeleteModel", "django.db.models.AutoField", "django.db.models.DecimalField" ]
[((258, 315), 'django.db.migrations.swappable_dependency', 'migrations.swappable_dependency', (['settings.AUTH_USER_MODEL'], {}), '(settings.AUTH_USER_MODEL)\n', (289, 315), False, 'from django.db import migrations, models\n'), ((2074, 2139), 'django.db.migrations.RenameModel', 'migrations.RenameModel', ([], {'old_name...
# Copyright 2016 Capital One Services, LLC # # 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...
[ "botocore.exceptions.ClientError", "c7n.actions.ActionRegistry", "c7n.actions.Action" ]
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"""Shared Utility functions.""" import datetime import pickle import re import pandas as pd import tensorflow as tf from better_profanity import profanity from . import config star_matcher = re.compile(r"\*") # Match present participle shortened with apostrophes like singin', workin'. ing_matcher = re.compile(r"(\w...
[ "tensorflow.keras.preprocessing.text.Tokenizer", "pickle.dump", "pandas.read_csv", "pickle.load", "better_profanity.profanity.censor", "datetime.datetime.now", "re.sub", "re.compile" ]
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# My example script import spacy import os import time import praw import pandas as pd import numpy as np import pprint from datetime import datetime, timezone from spacy import displacy import matplotlib.pyplot as plt from collections import Counter import plotly.express as px import boto3 username = "my_username" p...
[ "boto3.client", "plotly.express.bar", "boto3.resource", "datetime.datetime.fromtimestamp", "collections.Counter", "praw.Reddit" ]
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from psycopg2 import connect from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT from django.core.management.base import BaseCommand, CommandError from django.conf import settings class Command(BaseCommand): help = 'Creates the initial database' def handle(self, *args, **options): self.stdout....
[ "psycopg2.connect" ]
[((627, 694), 'psycopg2.connect', 'connect', ([], {'dbname': '"""postgres"""', 'user': 'user', 'host': 'host', 'password': 'password'}), "(dbname='postgres', user=user, host=host, password=password)\n", (634, 694), False, 'from psycopg2 import connect\n')]
#!/usr/bin/env python """Tests for `rmcalyse` package.""" import pytest from click.testing import CliRunner from rmcalyse import rmcalyse from rmcalyse import cli from rmcalyse.general_functions.orthonormalise import orthonormalise def test_orthonormalise(): # testing cell = [4, 4, 4, 90.0, 60.0, 90.0] ...
[ "rmcalyse.general_functions.orthonormalise.orthonormalise" ]
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import re from django import forms from django.core.exceptions import ValidationError from django.db import models from django.db.models.fields import NOT_PROVIDED from django.utils.translation import ugettext_lazy as _ from .forms import RegexFlagsFormField, RegexFormField from .validators import Regex, RegexValidat...
[ "django.utils.translation.ugettext_lazy", "re.compile" ]
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from .interfaces import Text_to_Text_PipelineInterface import re # -------------------------------------- from io import StringIO from html import unescape from html.parser import HTMLParser #Strips HTML tags and entities class stdlib_strip(HTMLParser): def __init__(self): super().__init__() self...
[ "bs4.BeautifulSoup", "io.StringIO", "html.unescape", "re.sub" ]
[((581, 595), 'html.unescape', 'unescape', (['html'], {}), '(html)\n', (589, 595), False, 'from html import unescape\n'), ((680, 705), 're.sub', 're.sub', (['"""\\\\s+"""', '""" """', 'text'], {}), "('\\\\s+', ' ', text)\n", (686, 705), False, 'import re\n'), ((829, 863), 'bs4.BeautifulSoup', 'BeautifulSoup', (['html',...
# Copyright (c) 2013 Rackspace, 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 to in wr...
[ "mock.patch.object", "zaqarclient.queues.v2.message.create_object", "json.dumps" ]
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from apt_ios_repo.utils import _get_value_from_content class PackagesFile: """ Class that represents a Packages file # Arguments content (str): the content of the Packages file """ def __init__(self, content): self.__content = content.strip() @property def packages(self): ...
[ "apt_ios_repo.utils._get_value_from_content" ]
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import toml import click from radiosim.utils import read_config, check_outpath from radiosim.simulations import simulate_sky_distributions @click.command() @click.argument("configuration_path", type=click.Path(exists=True, dir_okay=False)) @click.option( "--mode", type=click.Choice( [ "sim...
[ "radiosim.simulations.simulate_sky_distributions", "radiosim.utils.check_outpath", "radiosim.utils.read_config", "click.command", "click.Choice", "toml.load", "click.Path" ]
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"""Common fixtures""" import os import pytest from reduct import Client, Bucket @pytest.fixture(name="url") def _url() -> str: return "http://127.0.0.1:8383" @pytest.fixture(name="client") async def _make_client(url): api_token = os.getenv("RS_API_TOKEN", default=None) client = Client(url, api_token=ap...
[ "pytest.fixture", "os.getenv", "reduct.Client" ]
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# client code to connect to server import select, socket, sys from util_chat import Room, ChatHall, ChatMember import util_chat READ_BUFFER = 4096 if len(sys.argv) < 2: print("Usage: Python3 client.py [hostname]") sys.exit(1) else: server_connection = socket.socket(socket.AF_INET, socket.SOCK...
[ "sys.stdout.write", "socket.socket", "select.select", "sys.stdout.flush", "sys.exit" ]
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import random import inspect from stringfuzz.ast import * from stringfuzz.smt import smt_new_var, smt_reset_counters, smt_declare_var from stringfuzz.util import random_string, coin_toss __all__ = [ 'random_ast' ] # constants # nodes that have no inputs TERMINALS = [ ReAllCharNode, ] # nodes that can take e...
[ "random.randint", "stringfuzz.smt.smt_new_var", "stringfuzz.smt.smt_reset_counters", "random.choice", "stringfuzz.util.coin_toss", "random.random", "stringfuzz.smt.smt_declare_var", "stringfuzz.util.random_string" ]
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import sys from utils import run_shell_command from sagemaker.generate_resource_names import generate_resource_names def delete_deployment(deployment_name): ( ecr_repo_name, _, _, endpoint_name, _, ) = generate_resource_names(deployment_name) # delete API Gateway ...
[ "sagemaker.generate_resource_names.generate_resource_names", "utils.run_shell_command" ]
[((253, 293), 'sagemaker.generate_resource_names.generate_resource_names', 'generate_resource_names', (['deployment_name'], {}), '(deployment_name)\n', (276, 293), False, 'from sagemaker.generate_resource_names import generate_resource_names\n'), ((390, 485), 'utils.run_shell_command', 'run_shell_command', (["['aws', '...
import logging import random from collections import defaultdict from flask import Flask, render_template, session, request from flask_socketio import SocketIO, emit, join_room, leave_room, \ close_room, rooms, disconnect import avalon as avalon import model as m import rules as r app = Flask(__name__) app.confi...
[ "logging.debug", "logging.basicConfig", "flask.Flask", "random.getrandbits", "collections.defaultdict", "flask_socketio.emit", "rules.PlayerVote", "flask.render_template", "flask_socketio.SocketIO", "avalon.Game" ]
[((295, 310), 'flask.Flask', 'Flask', (['__name__'], {}), '(__name__)\n', (300, 310), False, 'from flask import Flask, render_template, session, request\n'), ((359, 372), 'flask_socketio.SocketIO', 'SocketIO', (['app'], {}), '(app)\n', (367, 372), False, 'from flask_socketio import SocketIO, emit, join_room, leave_room...
# Copyright 2017 The TensorFlow Authors All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab...
[ "model_utils.n_gram.construct_ngrams_dict", "numpy.asarray", "scipy.special.expit", "numpy.mean", "model_utils.n_gram.percent_unique_ngrams_in_train", "model_utils.n_gram.find_all_ngrams", "collections.Counter", "model_utils.helper.convert_to_human_readable" ]
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from tests.contract_interfaces.owned_interface import OwnedInterface from utils.deployutils import mine_tx class StateInterface(OwnedInterface): def __init__(self, contract, name): OwnedInterface.__init__(self, contract, name) self.contract = contract self.contract_name = name se...
[ "tests.contract_interfaces.owned_interface.OwnedInterface.__init__" ]
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# -*- coding: utf-8 -*- from __future__ import absolute_import from __future__ import print_function import logging import inspect import os import shutil import string_utils import tempfile from jinja2 import Environment, FileSystemLoader from kubernetes.client import models as k8s_models from ..client import model...
[ "os.makedirs", "os.path.isdir", "os.path.dirname", "os.path.exists", "string_utils.camel_case_to_snake", "jinja2.FileSystemLoader", "tempfile.mkdtemp", "shutil.rmtree", "os.path.join", "logging.getLogger", "inspect.getmembers" ]
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# Lint as: python3 # Copyright 2018, The TensorFlow Federated Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required ...
[ "tensorflow_federated.python.core.api.tf_computation", "tensorflow_federated.python.core.impl.executor_stacks.create_local_executor", "tensorflow_federated.python.core.api.FunctionType", "tensorflow.random.normal", "tensorflow_federated.python.core.api.federated_computation", "tensorflow.convert_to_tensor...
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from django.test import TestCase from django.test.client import Client from django.core.urlresolvers import reverse from django.contrib.auth.models import User from .forms import LoginForm class LoginViewTest(TestCase): def setUp(self): self.client = Client() self.response = self.client.get(reve...
[ "django.test.client.Client", "django.contrib.auth.models.User.objects.all", "django.contrib.auth.models.User.objects.create_user", "django.core.urlresolvers.reverse" ]
[((267, 275), 'django.test.client.Client', 'Client', ([], {}), '()\n', (273, 275), False, 'from django.test.client import Client\n'), ((854, 912), 'django.contrib.auth.models.User.objects.create_user', 'User.objects.create_user', (['"""admin"""', '"""<EMAIL>"""', '"""<PASSWORD>"""'], {}), "('admin', '<EMAIL>', '<PASSWO...
#!/usr/bin/env python3 # # MIT License # # Copyright (c) 2020-2021 EntySec # # 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...
[ "socket.socket", "hatsploit.core.base.exceptions.Exceptions", "hatsploit.core.cli.badges.Badges" ]
[((1442, 1450), 'hatsploit.core.cli.badges.Badges', 'Badges', ([], {}), '()\n', (1448, 1450), False, 'from hatsploit.core.cli.badges import Badges\n'), ((1957, 1965), 'hatsploit.core.cli.badges.Badges', 'Badges', ([], {}), '()\n', (1963, 1965), False, 'from hatsploit.core.cli.badges import Badges\n'), ((1992, 2004), 'h...
import moonleap.resource.props as P from moonleap import MemFun, Prop, create, empty_rule, extend, named from moonleap.verbs import connects from titan.api_pkg.itemlist.resources import ItemList from . import props from .resources import Pipeline rules = [ (("x+pipeline", connects, "x+pipeline-elm"), empty_rule()...
[ "moonleap.resource.props.parent", "moonleap.resource.props.children", "moonleap.named", "moonleap.create", "moonleap.empty_rule", "moonleap.resource.props.child", "moonleap.Prop", "moonleap.MemFun" ]
[((445, 463), 'moonleap.create', 'create', (['"""pipeline"""'], {}), "('pipeline')\n", (451, 463), False, 'from moonleap import MemFun, Prop, create, empty_rule, extend, named\n'), ((540, 560), 'moonleap.create', 'create', (['"""x+pipeline"""'], {}), "('x+pipeline')\n", (546, 560), False, 'from moonleap import MemFun, ...
# -*- coding: utf-8 -*- from rest_framework import serializers from apps.authentication.models import OnlineUser as User from apps.gallery.serializers import ResponsiveImageSerializer from apps.inventory.models import Item, ItemCategory from apps.payment.models import PaymentTransaction from apps.shop.models import O...
[ "apps.gallery.serializers.ResponsiveImageSerializer", "apps.inventory.models.Item.objects.get", "apps.shop.models.OrderLine.objects.create", "apps.shop.models.Order", "rest_framework.serializers.ValidationError" ]
[((1987, 2014), 'apps.gallery.serializers.ResponsiveImageSerializer', 'ResponsiveImageSerializer', ([], {}), '()\n', (2012, 2014), False, 'from apps.gallery.serializers import ResponsiveImageSerializer\n'), ((1017, 1059), 'apps.shop.models.OrderLine.objects.create', 'OrderLine.objects.create', ([], {}), '(**validated_d...