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import smart_match from math import sqrt class MongeElkan: def __init__(self, method=None): self.method = smart_match.get_method(method) def similarity(self, X, Y): if not X and not Y: return 1 if not X or not Y: return 0 retu...
[ "smart_match.get_method" ]
[((124, 154), 'smart_match.get_method', 'smart_match.get_method', (['method'], {}), '(method)\n', (146, 154), False, 'import smart_match\n')]
import numpy as np from skimage.measure import label from lib.utils_lung_segmentation import get_max_rect_in_mask def getLargestCC(segmentation): '''find largest connected component return: binary mask of the largest connected component''' labels = label(segmentation) assert(labels.max() != 0 ) # a...
[ "numpy.bincount", "skimage.measure.label", "lib.utils_lung_segmentation.get_max_rect_in_mask" ]
[((266, 285), 'skimage.measure.label', 'label', (['segmentation'], {}), '(segmentation)\n', (271, 285), False, 'from skimage.measure import label\n'), ((690, 725), 'lib.utils_lung_segmentation.get_max_rect_in_mask', 'get_max_rect_in_mask', (['blobs_largest'], {}), '(blobs_largest)\n', (710, 725), False, 'from lib.utils...
import math from .hive_position import HivePosition from .bee_movement import BeeMovement class BeeTrackingObject: object_id: int start_frame_id: int end_frame_id: int end_age: int position_estimates: [(int, int)] angle: int = -1 # 0° is if the bee flies "to the right on the x-axis". Angle turns clockwise fl...
[ "math.sqrt", "math.atan2" ]
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import importlib def load_class(cls, *args, **kwargs): if cls is None: return None module_name, class_name = cls.rsplit(".", 1) return getattr(importlib.import_module(module_name), class_name)(*args, **kwargs)
[ "importlib.import_module" ]
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# coding=utf-8 # Copyright 2020 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicab...
[ "tensorflow.tile", "tensorflow.shape", "tf3d.utils.box_utils.get_box_corners_3d", "tensorflow.boolean_mask", "gin.configurable", "tensorflow.ones_like", "tf3d.utils.mask_utils.apply_mask_to_input_voxel_tensors", "tf3d.utils.batch_utils.get_batch_size_1_input_objects", "tf3d.utils.mask_utils.apply_ma...
[((11299, 11402), 'gin.configurable', 'gin.configurable', (['"""box_rotation_regression_loss_on_voxel_tensors"""'], {'blacklist': "['inputs', 'outputs']"}), "('box_rotation_regression_loss_on_voxel_tensors', blacklist\n =['inputs', 'outputs'])\n", (11315, 11402), False, 'import gin\n'), ((14921, 15020), 'gin.configu...
import sys sys.path.insert(0, "build/lib.linux-x86_64-3.6") sys.path.insert(0, "build/lib.linux-x86_64-3.8") import pypet._ext1 class Derived(pypet._ext1.Pet): def __init__(self, name): pypet._ext1.Pet.__init__(self) self.name = name self.derived = True def getName(self): retu...
[ "sys.path.insert" ]
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# Copyright 2018 D-Wave Systems 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...
[ "dimod.unembed_response", "numpy.hstack", "dimod.Response", "dimod.BinaryQuadraticModel.empty", "dwave_networkx.chimera_graph", "dimod.embed_bqm", "dwave_networkx.draw_chimera" ]
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import datetime import re import time from collections import namedtuple from django.conf import settings from django.core.management.base import BaseCommand from trello import ResourceUnavailable, TrelloClient from core.models import Event # Create new command class Command(BaseCommand): help = 'Syncs event i...
[ "core.models.Event.objects.all", "collections.namedtuple", "time.sleep", "trello.TrelloClient", "datetime.date", "datetime.date.today", "re.search" ]
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# this creates a wrapper using ctypes for glfw from the header # it's not fully automatic, but it does a good deal of work import re with open("../glfw/include/GL/glfw3.h") as header_file: data = header_file.read() # normalize whitespace data = re.sub(r"[ \t]+", " ", data) # delete beginning data = data[data.in...
[ "re.sub" ]
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# Copyright (c) 2021, Parallel Systems Architecture Laboratory (PARSA), EPFL & # Machine Learning and Optimization Laboratory (MLO), EPFL. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Red...
[ "numpy.random.random_integers", "torch.LongTensor", "torch.nn.functional.embedding", "torch.autograd.Variable", "torch.nn.Embedding" ]
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''' Investigating the offset of CIV emission in the Cloudy models as a function of ionization, nebular metallicity, stellar metallicity, stellar population type, age, etc. ''' import numpy as np import pandas as pd import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec from scipy.optimize import curve_...
[ "scipy.optimize.curve_fit", "numpy.median", "matplotlib.pyplot.ylabel", "numpy.power", "matplotlib.pyplot.gca", "matplotlib.pyplot.xlabel", "matplotlib.pyplot.plot", "matplotlib.pyplot.close", "matplotlib.pyplot.figure", "matplotlib.pyplot.tight_layout", "warnings.simplefilter", "matplotlib.py...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # rtk.hardware.component.resistor.fixed.Wirewound.py is part of the RTK # Project # # All rights reserved. # Copyright 2007 - 2017 <NAME> andrew.rowland <AT> reliaqual <DOT> com # # Redistribution and use in source and binary forms, with or without # modifica...
[ "locale.setlocale", "rtk.Utilities.error_handler", "rtk.hardware.component.resistor.Resistor.Model.set_attributes", "rtk.hardware.component.resistor.Resistor.Model.get_attributes", "rtk.hardware.component.resistor.Resistor.Model.calculate_part", "math.exp" ]
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############################################################################## # # Copyright (c) 2007 Zope Corporation and Contributors. # All Rights Reserved. # # This software is subject to the provisions of the Zope Public License, # Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution. # THIS SO...
[ "interfaces._", "zope.security.proxy.removeSecurityProxy", "interfaces.IZojaxSecurityPolicy.providedBy", "zope.component.getUtility", "zope.security.management.queryInteraction" ]
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''' ExperimentClient tests. ''' import os import unittest import pandas as pd import time from mljar.client.project import ProjectClient from mljar.client.dataset import DatasetClient from mljar.client.experiment import ExperimentClient from .project_based_test import ProjectBasedTest, get_postfix class ExperimentCl...
[ "pandas.read_csv", "mljar.client.experiment.ExperimentClient", "time.sleep", "mljar.client.dataset.DatasetClient", "mljar.client.project.ProjectClient", "unittest.main" ]
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import time import TSL2561 chip = TSL2561.TSL2561() while True: chip.power_on() print("Raw Channel 0 = " + str(chip.read_channel0())) print("Raw Channel 1 = " + str(chip.read_channel1())) print("Lux Channel 0 = " + str(chip.calculate_lux(chip.read_channel0()))) print("Lux Channel 1 = " + str(chip.calculate_lux(ch...
[ "TSL2561.TSL2561", "time.sleep" ]
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# import modules import subprocess import io def afplay(filepath): params = io.getInfo(filepath) time = params[3] / params[2] cmd = 'afplay -q 1 %s'%(filepath) subprocess.Popen(cmd, shell=True) time.sleep() return
[ "io.getInfo", "subprocess.Popen" ]
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from setuptools import setup, find_packages try: import s3stat doc = s3stat.__doc__ except ImportError: doc = "The docs are only available when the package is already installed. Sorry for this." setup( name="s3stat", version="2.3.1", description='An extensible Amazon S3 and Cloudfront log ...
[ "setuptools.setup" ]
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from collections import Sequence from alphatwirl_interface.cut_flows import cut_flow, cut_flow_with_counter, cut_flow_with_weighted_counter import six def Selection(steps={}, cutflow_file=None, weight_attr=None): ''' This class ties together several modules from alphatwirl to bring a simplified Se...
[ "alphatwirl_interface.cut_flows.cut_flow_with_counter", "alphatwirl_interface.cut_flows.cut_flow_with_weighted_counter", "alphatwirl_interface.cut_flows.cut_flow" ]
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import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import interp1d import psoap from psoap.data import lkca14, redshift, Chunk from psoap import matrix_functions from psoap import covariance from psoap import orbit # from matplotlib.ticker import FormatStrFormatter as FSF # from matplotlib.tick...
[ "numpy.sqrt", "scipy.interpolate.interp1d", "numpy.array", "psoap.orbit.SB2", "numpy.save", "numpy.searchsorted", "numpy.max", "numpy.linspace", "numpy.empty", "numpy.min", "numpy.random.normal", "numpy.ones", "psoap.data.Chunk", "numpy.std", "numpy.ones_like", "psoap.data.redshift", ...
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from __future__ import absolute_import import logging import os import json from dxlbootstrap.app import Application from dxlclient.service import ServiceRegistrationInfo from dxlclient.callbacks import RequestCallback from dxlclient.message import ErrorResponse, Response from ._epo import _Epo # Configure local log...
[ "logging.getLogger", "dxlclient.service.ServiceRegistrationInfo", "dxlclient.message.Response", "os.path.isabs", "os.access", "os.path.join", "os.path.isfile" ]
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# Copyright (c) 2008-2018 VMware, Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
[ "alembic.op.get_bind", "alembic.op.drop_constraint", "alembic.op.alter_column", "alembic.op.execute", "alembic.op.drop_index", "alembic.op.create_index", "alembic.op.create_unique_constraint" ]
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from __future__ import print_function import pandas import matplotlib; matplotlib.use('Agg') import sys, os, copy, math, numpy as np, matplotlib.pyplot as plt from tabulate import tabulate from munkres import Munkres from collections import defaultdict try: from ordereddict import OrderedDict # can be installed u...
[ "os.path.exists", "pandas.read_csv", "mailpy.Mail", "matplotlib.use", "sys.exit", "pandas.DataFrame" ]
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import time from datetime import datetime from serial import Serial # Library needed to open serial connection PIN = 'a5' PORT = 'COM11' PORT = Serial(port=PORT, baudrate=9600, timeout=0) # Open the Serial port def encode_command(command): return bytearray(command, encoding='utf-8') print('-' * 50) print('...
[ "datetime.datetime.now", "serial.Serial", "time.sleep" ]
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#!/usr/bin/env python #encoding=utf-8 # Copyright (c) 2012 Baidu, Inc. All Rights Reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 #...
[ "logging.getLogger", "logging.NullHandler", "curses.setupterm", "logging.StreamHandler", "curses.tigetnum", "logging.handlers.RotatingFileHandler", "os.environ.get", "curses.tparm", "sys.stderr.isatty", "logging.Formatter.__init__", "curses.tigetstr", "os.path.abspath" ]
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import json import yaml import os import requests from git import Repo ### convert device config in json to ansible playbook and run the playbook PATH_TO_REPO = os.path.expanduser('~') + "/awx-playbooks/" URL = 'http://10.4.19.251:32121/api/v2/' USER = 'admin' PWD = '<PASSWORD>' ### Set proper headers headers = {"Con...
[ "json.loads", "requests.post", "yaml.safe_dump", "requests.get", "yaml.safe_load", "git.Repo", "os.path.expanduser" ]
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import cv2 import sys import json from image_encoder.image_encoder import decode import numpy import requests # Get user supplied values def get_image(fpath): with open(fpath) as f: record = [json.loads(line) for line in f] img = decode(record[0]["image"]) return img def n_faces(fpath): cascP...
[ "image_encoder.image_encoder.decode", "json.loads", "requests.post", "numpy.array", "cv2.cvtColor", "cv2.CascadeClassifier", "pika_listener.QueueListener" ]
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import argparse from datetime import datetime import glob import html import json import os import pytz import shutil import sys import time from yattag import Doc # Constants __SYSTEM__ = "GroupMe" FONT_URL = "https://fonts.googleapis.com/css?family=Open+Sans" def css_file(): return """ .message_container ...
[ "pytz.timezone", "datetime.datetime.fromtimestamp", "argparse.ArgumentParser", "os.makedirs", "os.path.join", "os.path.realpath", "os.path.dirname", "sys.exit", "json.load", "yattag.Doc", "glob.glob" ]
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from slack_sdk import WebClient from slack_bolt.app.app import SlackAppDevelopmentServer, App from tests.mock_web_api_server import ( setup_mock_web_api_server, cleanup_mock_web_api_server, ) from tests.utils import remove_os_env_temporarily, restore_os_env class TestDevServer: signing_secret = "secret" ...
[ "tests.utils.remove_os_env_temporarily", "tests.mock_web_api_server.cleanup_mock_web_api_server", "slack_sdk.WebClient", "tests.mock_web_api_server.setup_mock_web_api_server", "tests.utils.restore_os_env", "slack_bolt.app.app.App" ]
[((423, 486), 'slack_sdk.WebClient', 'WebClient', ([], {'token': 'valid_token', 'base_url': 'mock_api_server_base_url'}), '(token=valid_token, base_url=mock_api_server_base_url)\n', (432, 486), False, 'from slack_sdk import WebClient\n'), ((565, 592), 'tests.utils.remove_os_env_temporarily', 'remove_os_env_temporarily'...
#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import optparse import os import re import sys import vtk from multiprocessing import Process import parse_imx RADIUS = 3 # For Open and Gauss SCALE = 50.0 # For Rasterization class RepairMeshParser(optparse.OptionParser): def __init__(self): ...
[ "vtk.vtkPolyDataToImageStencil", "multiprocessing.Process", "vtk.vtkOBJExporter", "vtk.vtkImageStencil", "vtk.vtkDecimatePro", "vtk.vtkVRMLExporter", "os.remove", "vtk.vtkVRMLImporter", "vtk.vtkImageDilateErode3D", "os.path.isdir", "vtk.vtkRenderer", "vtk.vtkMetaImageWriter", "sys.stdout.flu...
[((1355, 1379), 'vtk.vtkMetaImageWriter', 'vtk.vtkMetaImageWriter', ([], {}), '()\n', (1377, 1379), False, 'import vtk\n'), ((2470, 2501), 'vtk.vtkPolyDataToImageStencil', 'vtk.vtkPolyDataToImageStencil', ([], {}), '()\n', (2499, 2501), False, 'import vtk\n'), ((2841, 2859), 'vtk.vtkImageData', 'vtk.vtkImageData', ([],...
''' service.py ancilla Created by <NAME> (<EMAIL>) on 01/08/20 Copyright 2019 FrenzyLabs, LLC. ''' import json from .base import BaseHandler import importlib import socket from ...data.models import Service import asyncio import functools import requests class WifiResource(BaseHandler): def initializ...
[ "asyncio.get_event_loop", "functools.partial", "requests.Session", "requests.Request" ]
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#!/usr/bin/env python from holtztools import plots,html from astropy.io import fits,ascii import numpy as np import math import pdb import argparse import os import matplotlib.pyplot as plt def throughplot(instrument='apogee-s',outfile=None,inter=False) : ''' Routine to make zeropoint/throughput plots from ap...
[ "numpy.log10", "argparse.ArgumentParser", "numpy.where", "holtztools.html.htmltab", "numpy.exp", "holtztools.plots.multi", "holtztools.plots.plotc", "numpy.isfinite", "os.path.basename", "pdb.set_trace", "astropy.io.fits.open", "astropy.io.ascii.read", "numpy.arange" ]
[((2788, 2822), 'holtztools.plots.multi', 'plots.multi', (['(2)', '(3)'], {'figsize': '(8, 12)'}), '(2, 3, figsize=(8, 12))\n', (2799, 2822), False, 'from holtztools import plots, html\n'), ((5967, 5984), 'holtztools.plots.multi', 'plots.multi', (['(1)', '(1)'], {}), '(1, 1)\n', (5978, 5984), False, 'from holtztools im...
#!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import sys import matplotlib.pyplot as plt from lorawan_toa import * def get_line(list_size, n_sf, bw=125): return [ get_toa(i, n_sf, n_bw=bw)["t_packet"] for i in list_size ] ######### # fig = plt.figure(num=None, figsize=(16, ...
[ "matplotlib.pyplot.figure", "matplotlib.pyplot.show" ]
[((286, 353), 'matplotlib.pyplot.figure', 'plt.figure', ([], {'num': 'None', 'figsize': '(16, 8)', 'facecolor': '"""w"""', 'edgecolor': '"""k"""'}), "(num=None, figsize=(16, 8), facecolor='w', edgecolor='k')\n", (296, 353), True, 'import matplotlib.pyplot as plt\n'), ((1062, 1072), 'matplotlib.pyplot.show', 'plt.show',...
import tensorflow as tf if __name__ == "__main__": with tf.Session() as sess: game_dir = "Gobang" model_dir = "model2_10_10_5" batch = "11000" # 初始化变量 sess.run(tf.global_variables_initializer()) # 获取最新的checkpoint,其实就是解析了checkpoint文件 latest_ckpt = tf.train....
[ "tensorflow.graph_util.convert_variables_to_constants", "tensorflow.Session", "tensorflow.global_variables_initializer", "tensorflow.train.import_meta_graph", "tensorflow.train.write_graph", "tensorflow.train.latest_checkpoint" ]
[((61, 73), 'tensorflow.Session', 'tf.Session', ([], {}), '()\n', (71, 73), True, 'import tensorflow as tf\n'), ((311, 387), 'tensorflow.train.latest_checkpoint', 'tf.train.latest_checkpoint', (["('../' + game_dir + '/' + model_dir + '/' + batch)"], {}), "('../' + game_dir + '/' + model_dir + '/' + batch)\n", (337, 387...
from django.db import connection from rest_framework.decorators import api_view from rest_framework.response import Response @api_view() def root(request): return Response({"message": "Hello, from Yappa!", "next step": "go to the next example: " "connect you ...
[ "rest_framework.response.Response", "rest_framework.decorators.api_view" ]
[((128, 138), 'rest_framework.decorators.api_view', 'api_view', ([], {}), '()\n', (136, 138), False, 'from rest_framework.decorators import api_view\n'), ((169, 288), 'rest_framework.response.Response', 'Response', (["{'message': 'Hello, from Yappa!', 'next step':\n 'go to the next example: connect you managed Postg...
from PyQt4.QtCore import (QAbstractTableModel, QModelIndex, QVariant, Qt, SIGNAL) import operator import logging from globalvalues.constants.plottingconstants import PlottingConstants from PyQt4 import QtGui, QtCore from globalvalues.appsettings import AppSettings logger = logging.getLogger('console') class LogL...
[ "logging.getLogger", "PyQt4.QtCore.QAbstractTableModel.headerData", "PyQt4.QtGui.QTableWidgetItem", "PyQt4.QtCore.SIGNAL", "PyQt4.QtCore.QAbstractTableModel.__init__", "operator.itemgetter" ]
[((280, 308), 'logging.getLogger', 'logging.getLogger', (['"""console"""'], {}), "('console')\n", (297, 308), False, 'import logging\n'), ((734, 783), 'PyQt4.QtCore.QAbstractTableModel.__init__', 'QAbstractTableModel.__init__', (['self', 'parent', '*args'], {}), '(self, parent, *args)\n', (762, 783), False, 'from PyQt4...
# # Copyright SAS Institute # # 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...
[ "metakernel.IPythonKernel" ]
[((1563, 1578), 'metakernel.IPythonKernel', 'IPythonKernel', ([], {}), '()\n', (1576, 1578), False, 'from metakernel import IPythonKernel\n')]
from datetime import date from models import gtfs, config, util, nextbus, routeconfig import argparse import shapely import partridge as ptg import numpy as np from pathlib import Path import requests import json import boto3 import gzip import hashlib import math import zipfile # Downloads and parses the GTFS specifi...
[ "zipfile.ZipFile", "models.nextbus.get_route_list", "shapely.geometry.Point", "numpy.argsort", "numpy.array", "partridge.load_geo_feed", "argparse.ArgumentParser", "pathlib.Path", "json.dumps", "boto3.resource", "models.nextbus.get_route_config", "models.config.get_agency", "shapely.ops.tran...
[((2964, 2990), 'numpy.argsort', 'np.argsort', (['terminal_dists'], {}), '(terminal_dists)\n', (2974, 2990), True, 'import numpy as np\n'), ((4156, 4216), 'shapely.geometry.Point', 'shapely.geometry.Point', (['shape_lines_xy[best_index].coords[0]'], {}), '(shape_lines_xy[best_index].coords[0])\n', (4178, 4216), False, ...
"""AVLetters lip dataset. The original dataset is available from http://www.ee.surrey.ac.uk/Projects/LILiR/datasets/avletters1/index.html This dataset consists of three repetitions by each of 10 talkers, five male (two with moustaches) and five female, of the isolated letters A-Z, a total of 780 utterances Refe...
[ "os.path.exists", "os.listdir", "scipy.io.loadmat", "os.path.join", "os.path.dirname", "numpy.zeros", "numpy.empty" ]
[((736, 753), 'os.path.dirname', 'dirname', (['__file__'], {}), '(__file__)\n', (743, 753), False, 'from os.path import dirname, exists, isfile, join\n'), ((1790, 1809), 'os.listdir', 'listdir', (['folderpath'], {}), '(folderpath)\n', (1797, 1809), False, 'from os import listdir\n'), ((2113, 2182), 'numpy.empty', 'np.e...
# # Copyright 2021 Rovio Entertainment Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agre...
[ "datetime.datetime", "datetime.datetime.strptime", "pyspark.sql.types.DoubleType", "rovio_ingest.extensions.dataframe_extension.add_dataframe_druid_extension", "test_helper.get_df", "pyspark.sql.types.IntegerType", "pyspark.sql.types.StringType", "pyspark.sql.types.TimestampType", "pyspark.sql.types...
[((898, 937), 'datetime.datetime.strptime', 'datetime.strptime', (['date_str', '"""%Y-%m-%d"""'], {}), "(date_str, '%Y-%m-%d')\n", (915, 937), False, 'from datetime import datetime\n'), ((995, 1026), 'rovio_ingest.extensions.dataframe_extension.add_dataframe_druid_extension', 'add_dataframe_druid_extension', ([], {}), ...
#!/usr/bin/env python # # Copyright 2021 Espressif Systems (Shanghai) CO LTD # # 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 requ...
[ "os.path.getsize", "hashlib.md5", "re.compile", "tiny_test_fw.Utility.console_log", "os.path.join", "ttfw_idf.idf_example_test", "idf_http_server_test.adder.start_session", "idf_http_server_test.adder.getreq" ]
[((800, 859), 'ttfw_idf.idf_example_test', 'ttfw_idf.idf_example_test', ([], {'env_tag': '"""Example_WIFI_Protocols"""'}), "(env_tag='Example_WIFI_Protocols')\n", (825, 859), False, 'import ttfw_idf\n'), ((1189, 1242), 'os.path.join', 'os.path.join', (['dut1.app.binary_path', '"""file_server.bin"""'], {}), "(dut1.app.b...
from flask import Blueprint needs = Blueprint('needs', __name__) from . import views from ..models import Permission @needs.app_context_processor def inject_permissions(): return dict(Permission=Permission)
[ "flask.Blueprint" ]
[((37, 65), 'flask.Blueprint', 'Blueprint', (['"""needs"""', '__name__'], {}), "('needs', __name__)\n", (46, 65), False, 'from flask import Blueprint\n')]
# -*- coding: utf-8 -*- from setuptools import setup try: with open('requirements.txt') as f: required = f.read().splitlines() except: required = ['requests>=2.7.0', 'pyrestcli>=0.6.4'] try: with open('test_requirements.txt') as f: test_required = f.read().splitlines() except: pass se...
[ "setuptools.setup" ]
[((318, 542), 'setuptools.setup', 'setup', ([], {'name': '"""carto"""', 'author': '"""<NAME>"""', 'author_email': '"""<EMAIL>"""', 'description': '"""SDK around CARTO\'s APIs"""', 'version': '"""1.8.1"""', 'url': '"""https://github.com/CartoDB/carto-python"""', 'install_requires': 'required', 'packages': "['carto']"}),...
import machine from machine import Pin, I2C import googlyscreen, functions i2c_builtin = I2C(scl=Pin(5), sda=Pin(4), freq=400000) # 5 = D1, 4 = D2 screen = googlyscreen.GooglyScreen(i2c_builtin) def push_data(): data = screen.environment_data functions.push_data(data) def main_loop(): count = 0 ...
[ "machine.Pin", "machine.lightsleep", "functions.push_data", "googlyscreen.GooglyScreen" ]
[((159, 197), 'googlyscreen.GooglyScreen', 'googlyscreen.GooglyScreen', (['i2c_builtin'], {}), '(i2c_builtin)\n', (184, 197), False, 'import googlyscreen, functions\n'), ((256, 281), 'functions.push_data', 'functions.push_data', (['data'], {}), '(data)\n', (275, 281), False, 'import googlyscreen, functions\n'), ((99, 1...
import csv from collections import deque from dataclasses import dataclass from decimal import Decimal from datetime import date import io import itertools from typing import List, Optional from dateutil.parser import parse as dateparse from dateutil.relativedelta import relativedelta from casparser.exceptions import...
[ "dateutil.parser.parse", "casparser.exceptions.GainsError", "collections.deque", "itertools.groupby", "dateutil.relativedelta.relativedelta", "csv.writer", "datetime.date", "casparser.exceptions.IncompleteCASError", "io.StringIO", "decimal.Decimal" ]
[((2008, 2020), 'decimal.Decimal', 'Decimal', (['(0.0)'], {}), '(0.0)\n', (2015, 2020), False, 'from decimal import Decimal\n'), ((2045, 2057), 'decimal.Decimal', 'Decimal', (['(0.0)'], {}), '(0.0)\n', (2052, 2057), False, 'from decimal import Decimal\n'), ((2088, 2100), 'decimal.Decimal', 'Decimal', (['(0.0)'], {}), '...
from controller.user import User from view.console import Console from model.registry import Registry def main(): user = User() registry = Registry() view = Console(registry) user.start_app(view) if __name__ == '__main__': main()
[ "view.console.Console", "controller.user.User", "model.registry.Registry" ]
[((127, 133), 'controller.user.User', 'User', ([], {}), '()\n', (131, 133), False, 'from controller.user import User\n'), ((149, 159), 'model.registry.Registry', 'Registry', ([], {}), '()\n', (157, 159), False, 'from model.registry import Registry\n'), ((171, 188), 'view.console.Console', 'Console', (['registry'], {}),...
import requests import json from datetime import datetime, timedelta import pytz import re import dateutil.parser from pprint import pprint from django.conf import settings class TwitterPostScraper: def __init__(self, post_link, resp): self.resp = resp self.data = {"link": post_link} def get...
[ "pytz.timezone" ]
[((786, 815), 'pytz.timezone', 'pytz.timezone', (['"""Asia/Kolkata"""'], {}), "('Asia/Kolkata')\n", (799, 815), False, 'import pytz\n')]
import yadisk import sys import os def auth(): y = yadisk.YaDisk("7d9ca04e4fe848bbb1d1c6ba4916a5b4", "b7400bc636e144d988e749333afa388b") url = y.get_code_url() print("Go to the following url: %s" % url) code = input("Enter the confirmation code: ") try: response = y.get_token(code) ex...
[ "os.path.dirname", "yadisk.YaDisk", "sys.exit" ]
[((57, 146), 'yadisk.YaDisk', 'yadisk.YaDisk', (['"""7d9ca04e4fe848bbb1d1c6ba4916a5b4"""', '"""b7400bc636e144d988e749333afa388b"""'], {}), "('7d9ca04e4fe848bbb1d1c6ba4916a5b4',\n 'b7400bc636e144d988e749333afa388b')\n", (70, 146), False, 'import yadisk\n'), ((557, 582), 'os.path.dirname', 'os.path.dirname', (['__file...
""" Created on Sat Oct 30 19:29:30 2021 @author: siddharthvenkatesh This is a command line interface for scraper1830. """ import click from .scraper1830 import Scraper1830 @click.group() def cli_entry(): pass @cli_entry.command() @click.option( "--id", prompt="Enter Game ID", help="The id for the 1830 ga...
[ "click.group", "click.option" ]
[((178, 191), 'click.group', 'click.group', ([], {}), '()\n', (189, 191), False, 'import click\n'), ((242, 338), 'click.option', 'click.option', (['"""--id"""'], {'prompt': '"""Enter Game ID"""', 'help': '"""The id for the 1830 game on 18xx.games"""'}), "('--id', prompt='Enter Game ID', help=\n 'The id for the 1830 ...
import re, sys, time; from mWindowsAPI import *; from mWindowsSDK import *; from mConsole import oConsole; def fDumpThreadInfo(oThread, sISA, bDumpContext): oConsole.fOutput(" * Thread: %s" % (repr(oThread),)); o0TEB = oThread.fo0GetTEB(); if o0TEB: oConsole.fOutput(" * TEB:"); for sLine in oThread.o...
[ "mConsole.oConsole.fOutput", "mConsole.oConsole.fStatus", "time.sleep", "re.compile" ]
[((2195, 2287), 'mConsole.oConsole.fStatus', 'oConsole.fStatus', (["(' * Calling <cProcess #%X>.faoGetThreads()...' % (oTestProcess.uId,))"], {}), "(' * Calling <cProcess #%X>.faoGetThreads()...' % (\n oTestProcess.uId,))\n", (2211, 2287), False, 'from mConsole import oConsole\n'), ((2572, 2643), 'mConsole.oConsol...
# Snafu: Snake Functions - OpenShift Executor import requests import os import configparser import subprocess container = "jszhaw/snafu" endpoints = {} def executecontrol(flaskrequest, tenant): if not tenant in endpoints: username = os.getenv("OPENSHIFT_USERNAME") password = os.getenv("OPENSHIFT_PASSWORD") p...
[ "requests.post", "os.getenv" ]
[((1097, 1168), 'requests.post', 'requests.post', (['(endpoint + flaskrequest.path)'], {'data': 'data', 'headers': 'headers'}), '(endpoint + flaskrequest.path, data=data, headers=headers)\n', (1110, 1168), False, 'import requests\n'), ((240, 271), 'os.getenv', 'os.getenv', (['"""OPENSHIFT_USERNAME"""'], {}), "('OPENSHI...
# Copyright 2019 The Sonnet Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...
[ "tensorflow.unique", "tensorflow.shape" ]
[((2180, 2198), 'tensorflow.unique', 'tf.unique', (['indices'], {}), '(indices)\n', (2189, 2198), True, 'import tensorflow as tf\n'), ((2322, 2346), 'tensorflow.shape', 'tf.shape', (['unique_indices'], {}), '(unique_indices)\n', (2330, 2346), True, 'import tensorflow as tf\n')]
from flask_restplus import fields from apis.v1.v1_api import api movie_ns = api.namespace('movies', description='Movie Module') movie = movie_ns.model('Movie', { 'id': fields.Integer(required=True, description='Movie id'), '99popularity': fields.Float(attribute='ninety_nine_popularity', required=True), ...
[ "flask_restplus.fields.Nested", "flask_restplus.fields.Integer", "flask_restplus.fields.String", "flask_restplus.fields.Float", "flask_restplus.fields.Boolean", "apis.v1.v1_api.api.namespace" ]
[((78, 129), 'apis.v1.v1_api.api.namespace', 'api.namespace', (['"""movies"""'], {'description': '"""Movie Module"""'}), "('movies', description='Movie Module')\n", (91, 129), False, 'from apis.v1.v1_api import api\n'), ((176, 229), 'flask_restplus.fields.Integer', 'fields.Integer', ([], {'required': '(True)', 'descrip...
import logging from .base import BaseTransaction logger = logging.getLogger(__name__) class VoteTransaction(BaseTransaction): def can_be_applied_to_wallet(self, wallet, wallet_manager, block_height): vote = self.asset["votes"][0] if vote.startswith("+"): if wallet.vote: ...
[ "logging.getLogger" ]
[((60, 87), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (77, 87), False, 'import logging\n')]
# Copyright 2021 Google 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 writing, ...
[ "dataclasses.dataclass" ]
[((707, 741), 'dataclasses.dataclass', 'dataclasses.dataclass', ([], {'frozen': '(True)'}), '(frozen=True)\n', (728, 741), False, 'import dataclasses\n')]
''' Create format report from json to html using jinja2 ''' import json import sys import argparse from jinja2 import Template def get_template(argument: str): ''' get template content ''' if argument == '-': return Template(sys.stdin.read()) return Template(open(argument).read()) def ge...
[ "sys.stdin.read", "argparse.ArgumentParser" ]
[((549, 574), 'argparse.ArgumentParser', 'argparse.ArgumentParser', ([], {}), '()\n', (572, 574), False, 'import argparse\n'), ((251, 267), 'sys.stdin.read', 'sys.stdin.read', ([], {}), '()\n', (265, 267), False, 'import sys\n')]
# Copyright 2015-2017 FUJITSU LIMITED # # 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 ...
[ "networking_fujitsu.ml2.common.utils.get_physical_connectivity", "networking_fujitsu.ml2.common.utils.get_physical_network", "networking_fujitsu.ml2.common.utils.is_lag", "networking_fujitsu.ml2.common.utils.get_segmentation_id", "networking_fujitsu._i18n._", "oslo_utils.importutils.import_object", "neu...
[((1115, 1142), 'oslo_log.log.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (1132, 1142), True, 'from oslo_log import log as logging\n'), ((2324, 2378), 'oslo_config.cfg.CONF.register_opts', 'cfg.CONF.register_opts', (['ML2_FUJITSU', 'ML2_FUJITSU_GROUP'], {}), '(ML2_FUJITSU, ML2_FUJITSU_GROUP)\n'...
from __future__ import print_function from math import log10 import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader from dataset import DataSetFromFolder import torch.cuda from torch.autograd import Variable import torch.backends.cudnn as cudnn import torchvision.utils as...
[ "torchvision.transforms.CenterCrop", "models.dicriminator_model", "torchvision.transforms.Scale", "models.generator_model", "torchvision.transforms.Normalize", "torch.cuda.manual_seed", "torchvision.transforms.ToTensor", "torch.FloatTensor" ]
[((596, 623), 'torch.cuda.manual_seed', 'torch.cuda.manual_seed', (['(619)'], {}), '(619)\n', (618, 623), False, 'import torch\n'), ((683, 709), 'torchvision.transforms.CenterCrop', 'transforms.CenterCrop', (['(160)'], {}), '(160)\n', (704, 709), False, 'from torchvision import transforms\n'), ((732, 757), 'torchvision...
import cv2 import numpy as np img = cv2.imread('../Resources/Photos/park.jpg') b,g,r = cv2.split(img) # cv2.imshow('Blue',b) # cv2.imshow('Green',g) # cv2.imshow('Red',r) blank = np.zeros(img.shape[:2],dtype='uint8') blue = cv2.merge([b,blank,blank]) green = cv2.merge([blank,g,blank]) red = cv2.merge([blank,blank,r]...
[ "cv2.merge", "cv2.imshow", "numpy.zeros", "cv2.waitKey", "cv2.split", "cv2.imread" ]
[((37, 79), 'cv2.imread', 'cv2.imread', (['"""../Resources/Photos/park.jpg"""'], {}), "('../Resources/Photos/park.jpg')\n", (47, 79), False, 'import cv2\n'), ((89, 103), 'cv2.split', 'cv2.split', (['img'], {}), '(img)\n', (98, 103), False, 'import cv2\n'), ((182, 220), 'numpy.zeros', 'np.zeros', (['img.shape[:2]'], {'d...
# encoding: utf-8 """ @author: ccj @contact: """ import numpy as np from typing import List, Dict, Tuple, Any import torch import torch.nn.functional as F def crop_white(image: np.ndarray, value: int = 255) -> np.ndarray: """ Crop white border from image :param image: Type: np.ndarray, image to be ...
[ "torch.utils.data.dataloader.default_collate", "numpy.sqrt", "torch.stack", "numpy.zeros", "torch.nn.functional.one_hot", "numpy.random.uniform", "numpy.pad", "torch.cat" ]
[((1593, 1709), 'numpy.pad', 'np.pad', (['image', '[[pad_h // 2, pad_h - pad_h // 2], [pad_w // 2, pad_w - pad_w // 2], [0, 0]]'], {'constant_values': '(255)'}), '(image, [[pad_h // 2, pad_h - pad_h // 2], [pad_w // 2, pad_w - pad_w //\n 2], [0, 0]], constant_values=255)\n', (1599, 1709), True, 'import numpy as np\n...
""" compare_neigh_overlap.py Plots distributions of Jaccard distances for overlapping ipsilateral neighborhoods (blue) and homologous contralateral neighborhoods (red) in the adult and L4. crated: <NAME> data: 01 November 2018 """ import os from configparser import ConfigParser,ExtendedInterpolation import argpars...
[ "networks.stats.get_neighborhood_similarity", "connectome.load.from_db", "networks.stats.get_neighborhood_overlap_similarity", "pandas.DataFrame", "ioaux.read.into_list", "argparse.ArgumentParser", "ioaux.read.into_lr_dict", "configparser.ExtendedInterpolation" ]
[((813, 860), 'networks.stats.get_neighborhood_similarity', 'get_neighborhood_similarity', (['A', 'reflected', 'left'], {}), '(A, reflected, left)\n', (840, 860), False, 'from networks.stats import get_neighborhood_similarity, get_neighborhood_overlap_similarity\n'), ((1015, 1063), 'networks.stats.get_neighborhood_over...
#%% import ast from preprocess import to_n_gram from grammar_checker import Checker import pickle LANGUAGES = ast.literal_eval(open("language_short_names.txt", "r").read()) class Autocorrect: def __init__(self, language = 'en-US') -> None: self.language = language self.tool = self.load_dictionary...
[ "preprocess.to_n_gram", "grammar_checker.Checker" ]
[((1150, 1172), 'grammar_checker.Checker', 'Checker', (['self.language'], {}), '(self.language)\n', (1157, 1172), False, 'from grammar_checker import Checker\n'), ((687, 715), 'preprocess.to_n_gram', 'to_n_gram', (['self.input_string'], {}), '(self.input_string)\n', (696, 715), False, 'from preprocess import to_n_gram\...
from struct import pack, unpack, calcsize from enum import Enum import logging START_DELIMITER = 0x7E class XBeeOutFrame(object): def __bytes__(self): raise NotImplementedError("Subclass should implement this method") @staticmethod def calc_checksum(partial_frame): ''' partial_fr...
[ "struct.calcsize", "binascii.unhexlify", "struct.pack" ]
[((3644, 3671), 'struct.calcsize', 'calcsize', (['TX_REQ_HEADER_FMT'], {}), '(TX_REQ_HEADER_FMT)\n', (3652, 3671), False, 'from struct import pack, unpack, calcsize\n'), ((4748, 4771), 'struct.calcsize', 'calcsize', (['AT_HEADER_FMT'], {}), '(AT_HEADER_FMT)\n', (4756, 4771), False, 'from struct import pack, unpack, cal...
#IMPORTACIÓN DE LIBRERIAS import tensorflow as tf import os #QUITAR LOS MENSAJES DE AVISO os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' #CREAR EL MODELO #Entradas A = tf.constant([4], tf.int32, name='A') B = tf.constant([5], tf.int32, name='B') C = tf.constant([6], tf.int32, name='C') x = tf.placeholder(tf.int...
[ "tensorflow.pow", "tensorflow.placeholder", "tensorflow.Session", "tensorflow.multiply", "tensorflow.add_n", "tensorflow.name_scope", "tensorflow.constant", "tensorflow.summary.FileWriter" ]
[((173, 209), 'tensorflow.constant', 'tf.constant', (['[4]', 'tf.int32'], {'name': '"""A"""'}), "([4], tf.int32, name='A')\n", (184, 209), True, 'import tensorflow as tf\n'), ((215, 251), 'tensorflow.constant', 'tf.constant', (['[5]', 'tf.int32'], {'name': '"""B"""'}), "([5], tf.int32, name='B')\n", (226, 251), True, '...
from ui.config import SITE_CONFIG from django.contrib.sites.models import Site def basics(req): result = SITE_CONFIG result['domain'] = Site.objects.get_current().domain return result
[ "django.contrib.sites.models.Site.objects.get_current" ]
[((149, 175), 'django.contrib.sites.models.Site.objects.get_current', 'Site.objects.get_current', ([], {}), '()\n', (173, 175), False, 'from django.contrib.sites.models import Site\n')]
"""An echo server that has a server thread and a client thread. ONLY 5 CONNECTIONS.""" import threading import socket def server() -> None: """A server thread that has a server thread""" server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) port = 8007 host = 'localhost' server_socket...
[ "threading.Thread", "socket.socket" ]
[((1054, 1085), 'threading.Thread', 'threading.Thread', ([], {'target': 'server'}), '(target=server)\n', (1070, 1085), False, 'import threading\n'), ((1102, 1133), 'threading.Thread', 'threading.Thread', ([], {'target': 'client'}), '(target=client)\n', (1118, 1133), False, 'import threading\n'), ((214, 263), 'socket.so...
import json import urllib import requests import types class MovesAPIError(Exception): """Raised if the Moves API returns an error.""" pass class MovesAPINotModifed(Exception): """Raised if the document requested is unmodified. Need the use of etag header""" pass class MovesClient(object): """OA...
[ "json.loads", "requests.post", "requests.request", "requests.get", "urllib.urlencode", "types.FunctionType" ]
[((1128, 1153), 'json.loads', 'json.loads', (['response.text'], {}), '(response.text)\n', (1138, 1153), False, 'import json\n'), ((2035, 2079), 'requests.post', 'requests.post', (['self.token_url'], {'params': 'params'}), '(self.token_url, params=params)\n', (2048, 2079), False, 'import requests\n'), ((2099, 2127), 'js...
# Generated by Django 2.2.10 on 2020-04-09 02:47 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0007_auto_20200409_0223'), ] operations = [ migrations.RenameField( model_name='game', old_name='active_gue...
[ "django.db.migrations.RemoveField", "django.db.migrations.RenameField", "django.db.models.IntegerField" ]
[((233, 332), 'django.db.migrations.RenameField', 'migrations.RenameField', ([], {'model_name': '"""game"""', 'old_name': '"""active_guessing"""', 'new_name': '"""is_live_round"""'}), "(model_name='game', old_name='active_guessing',\n new_name='is_live_round')\n", (255, 332), False, 'from django.db import migrations...
import pickle import numpy as np import scipy.linalg as sci from scipy import signal # Rotations def wrap2Pi(x): xm = np.mod(x+np.pi,(2.0*np.pi)) return xm-np.pi def Rot(x): return np.array([[np.cos(x),-np.sin(x)],[np.sin(x),np.cos(x)]]) def RotVec(x_vec, rot_vec): rvec = np.array([np.dot(x_vec[i,:-1],Rot(rot_ve...
[ "numpy.hstack", "scipy.signal.filtfilt", "numpy.log", "numpy.sin", "numpy.cov", "numpy.mod", "numpy.arange", "numpy.divide", "numpy.mean", "numpy.vstack", "numpy.abs", "numpy.ones", "pickle.load", "numpy.cos", "numpy.shape", "numpy.copy", "pickle.dump", "scipy.signal.butter", "nu...
[((120, 150), 'numpy.mod', 'np.mod', (['(x + np.pi)', '(2.0 * np.pi)'], {}), '(x + np.pi, 2.0 * np.pi)\n', (126, 150), True, 'import numpy as np\n'), ((545, 571), 'numpy.divide', 'np.divide', (['(x - x[0])', 't_vec'], {}), '(x - x[0], t_vec)\n', (554, 571), True, 'import numpy as np\n'), ((730, 743), 'numpy.cov', 'np.c...
import pytest from time_manager.schemas.user import ( UserBase, UserCredentials, UserDB, UserDBBase, validate_username, ) @pytest.mark.parametrize( "username,should_raise", [ ("", True), (" ", True), (" -", True), ("- ", True), ("-a", True), ...
[ "time_manager.schemas.user.UserCredentials", "time_manager.schemas.user.UserBase", "time_manager.schemas.user.UserDB", "pytest.mark.parametrize", "pytest.raises", "time_manager.schemas.user.UserDBBase", "time_manager.schemas.user.validate_username" ]
[((146, 358), 'pytest.mark.parametrize', 'pytest.mark.parametrize', (['"""username,should_raise"""', "[('', True), (' ', True), (' -', True), ('- ', True), ('-a', True), ('a ', \n True), ('a', False), ('a!@#$%^&*()_12qw', False), ('a !@#$%^&*()_12qw',\n True)]"], {}), "('username,should_raise', [('', True), (' ',...
""" Make a learning curve for the full neural net trained on all 30 output measures. The point of this graph is to investigate how much training data is needed to achieve various MSE values. """ import matplotlib.pyplot as plt import numpy as np import cPickle as pickle import lasagne from lasagne import layers from ...
[ "numpy.mean", "cPickle.dump", "lignet_utils.gen_train_test", "lasagne.nonlinearities.ScaledTanH", "numpy.std", "nolearn.lasagne.TrainSplit" ]
[((593, 609), 'lignet_utils.gen_train_test', 'gen_train_test', ([], {}), '()\n', (607, 609), False, 'from lignet_utils import gen_train_test\n'), ((764, 810), 'lasagne.nonlinearities.ScaledTanH', 'ScaledTanH', ([], {'scale_in': '(2.0 / 3)', 'scale_out': '(1.7159)'}), '(scale_in=2.0 / 3, scale_out=1.7159)\n', (774, 810)...
# Copyright (c) 2013 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import os import re import sys def _GetTelemetryPath(input_api): return os.path.join( os.path.dirname(os.path.dirname(os.path.dirname(os.path.di...
[ "telemetry.util.cloud_storage.ReadHash", "os.path.splitext", "telemetry.util.cloud_storage.List" ]
[((1429, 1476), 'telemetry.util.cloud_storage.List', 'cloud_storage.List', (['cloud_storage.PUBLIC_BUCKET'], {}), '(cloud_storage.PUBLIC_BUCKET)\n', (1447, 1476), False, 'from telemetry.util import cloud_storage\n'), ((1160, 1187), 'os.path.splitext', 'os.path.splitext', (['hash_path'], {}), '(hash_path)\n', (1176, 118...
from flask import render_template, flash, redirect, url_for from app import flask_app from app.forms import LoginForm from flask_login import current_user, login_user from app.models import User from flask_login import logout_user from flask_login import login_required from flask import request from werkzeug.urls impor...
[ "app.flask_app.route", "flask.render_template", "app.forms.RegistrationForm", "flask.request.args.get", "app.forms.LoginForm", "app.db.session.commit", "flask.flash", "werkzeug.urls.url_parse", "flask_login.login_user", "flask_login.logout_user", "app.models.User", "flask.url_for", "flask.re...
[((392, 412), 'app.flask_app.route', 'flask_app.route', (['"""/"""'], {}), "('/')\n", (407, 412), False, 'from app import flask_app\n'), ((414, 439), 'app.flask_app.route', 'flask_app.route', (['"""/index"""'], {}), "('/index')\n", (429, 439), False, 'from app import flask_app\n'), ((833, 883), 'app.flask_app.route', '...
from pysmt.shortcuts import Symbol from pysmt.typing import INT h = Symbol("H", INT) domain = (1 <= h) & (10 >= h)
[ "pysmt.shortcuts.Symbol" ]
[((69, 85), 'pysmt.shortcuts.Symbol', 'Symbol', (['"""H"""', 'INT'], {}), "('H', INT)\n", (75, 85), False, 'from pysmt.shortcuts import Symbol\n')]
# vim: sw=4:ts=4:et from flask import Blueprint main = Blueprint('main', __name__) from . import views, errors
[ "flask.Blueprint" ]
[((55, 82), 'flask.Blueprint', 'Blueprint', (['"""main"""', '__name__'], {}), "('main', __name__)\n", (64, 82), False, 'from flask import Blueprint\n')]
from PyQt5.QtWidgets import QMainWindow from Controller.venda import VendaTemp from Funcoes.utils import data_hora_atual from Model.Compra_Itens import Compra_Itens from Model.Compra_Fin import Compra_Fin from Model.Compra_Header import Compras_Header from Model.Compra_Tmp import Compra_Tmp from Model.Fornecedor import...
[ "Funcoes.utils.exec_app", "Model.Compra_Itens.Compra_Itens.inserir_compra", "PyQt5.QtGui.QIcon", "Model.Venda_Fin.Venda_Fin", "Model.Venda_Tmp.Venda_Tmp.qtd_itens", "Model.Venda_Tmp.Venda_Tmp.retorna_total", "Model.Compra_Tmp.Compra_Tmp.delete_compra", "PyQt5.QtWidgets.QMessageBox.question", "PyQt5....
[((645, 682), 'PyQt5.QtCore.QObject.__init__', 'QtCore.QObject.__init__', (['self', 'parent'], {}), '(self, parent)\n', (668, 682), False, 'from PyQt5 import QtGui, QtCore\n'), ((926, 970), 'PyQt5.QtCore.QObject.eventFilter', 'QtCore.QObject.eventFilter', (['self', 'obj', 'event'], {}), '(self, obj, event)\n', (952, 97...
from django.urls import reverse from rest_framework import status from rest_framework.test import force_authenticate from core.models import UserModel from recycle import garbage from recycle.models import CommercialRequest, Location from recycle.views.commercial_order import EditCommercialOrderAPIView from tests.unit...
[ "recycle.views.commercial_order.EditCommercialOrderAPIView.as_view", "recycle.models.CommercialRequest.objects.get", "core.models.UserModel.objects.get", "recycle.models.Location.objects.get", "django.urls.reverse", "rest_framework.test.force_authenticate" ]
[((534, 572), 'core.models.UserModel.objects.get', 'UserModel.objects.get', ([], {'username': '"""User"""'}), "(username='User')\n", (555, 572), False, 'from core.models import UserModel\n'), ((593, 636), 'core.models.UserModel.objects.get', 'UserModel.objects.get', ([], {'username': '"""SuperUser"""'}), "(username='Su...
import numpy, copy from numpy import nan from PyQt5.QtGui import QPalette, QColor, QFont from PyQt5.QtWidgets import QMessageBox from orangewidget import gui from orangewidget import widget from orangewidget.settings import Setting from oasys.widgets import gui as oasysgui from oasys.widgets import congruence from oa...
[ "oasys.widgets.gui.widgetBox", "oasys.widgets.gui.createTabPage", "PyQt5.QtGui.QColor", "oasys.util.oasys_util.read_surface_file", "oasys.widgets.gui.tabWidget", "copy.deepcopy", "orangewidget.settings.Setting", "wofrysrw.propagator.wavefront2D.srw_wavefront.SRWWavefront.fromGenericWavefront", "oasy...
[((2028, 2039), 'orangewidget.settings.Setting', 'Setting', (['[]'], {}), '([])\n', (2035, 2039), False, 'from orangewidget.settings import Setting\n'), ((2065, 2077), 'orangewidget.settings.Setting', 'Setting', (['(1.0)'], {}), '(1.0)\n', (2072, 2077), False, 'from orangewidget.settings import Setting\n'), ((2213, 225...
# Pi_ReportHumidity.py # # Created: Jan 10, 2016 by <NAME> # # Simple script to read humidity on RPi import time from sense_hat import SenseHat sense = SenseHat() #humidity = sense.get_humidity() #print("Humidity: %s %%rH" % humidity) # alternatives #print(sense.humidity) # continue to print humidity reading every ...
[ "sense_hat.SenseHat", "time.sleep" ]
[((154, 164), 'sense_hat.SenseHat', 'SenseHat', ([], {}), '()\n', (162, 164), False, 'from sense_hat import SenseHat\n'), ((449, 462), 'time.sleep', 'time.sleep', (['(5)'], {}), '(5)\n', (459, 462), False, 'import time\n')]
from django import template from django.template.defaultfilters import stringfilter from django.conf import settings from urlparse import urlparse register = template.Library() @register.filter(is_safe=True) @stringfilter def xml_escape(string): """Replaces all unescaped xml characters""" return string.repla...
[ "django.template.Library", "urlparse.urlparse" ]
[((160, 178), 'django.template.Library', 'template.Library', ([], {}), '()\n', (176, 178), False, 'from django import template\n'), ((564, 577), 'urlparse.urlparse', 'urlparse', (['url'], {}), '(url)\n', (572, 577), False, 'from urlparse import urlparse\n')]
import numpy as np import torch from matplotlib import pyplot as plt from scipy.spatial.distance import directed_hausdorff from numpy import linalg as LA from sklearn import metrics def get_roc_auc(target, prediction): y_true = target.view(-1).numpy() y_score = prediction.view(-1).cpu().detach().numpy() ...
[ "scipy.spatial.distance.directed_hausdorff", "numpy.arange", "numpy.where", "sklearn.metrics.auc", "sklearn.metrics.precision_recall_curve", "sklearn.metrics.roc_auc_score", "numpy.array", "matplotlib.pyplot.figure", "torch.sum", "numpy.linalg.norm", "numpy.save" ]
[((336, 374), 'sklearn.metrics.roc_auc_score', 'metrics.roc_auc_score', (['y_true', 'y_score'], {}), '(y_true, y_score)\n', (357, 374), False, 'from sklearn import metrics\n'), ((574, 621), 'sklearn.metrics.precision_recall_curve', 'metrics.precision_recall_curve', (['y_true', 'y_score'], {}), '(y_true, y_score)\n', (6...
from server import Server import os def file_exists(server, name): out, _ = server.run("ls") print(out) files = out.strip().split("\n") print(files) return name in files if __name__ == "__main__": server = Server(host = "192.168.3.11", user="ubuntu", key_filename="/Users/greg/.ssh/lightsail-oh...
[ "server.Server" ]
[((232, 335), 'server.Server', 'Server', ([], {'host': '"""192.168.3.11"""', 'user': '"""ubuntu"""', 'key_filename': '"""/Users/greg/.ssh/lightsail-ohio-gsd.pem"""'}), "(host='192.168.3.11', user='ubuntu', key_filename=\n '/Users/greg/.ssh/lightsail-ohio-gsd.pem')\n", (238, 335), False, 'from server import Server\n'...
# coding=utf-8 # Copyright 2014 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import (absolute_import, division, generators, nested_scopes, print_function, unicode_literals, with_statement) import os from textw...
[ "pants.build_graph.build_file_address_mapper.BuildFileAddressMapper.EmptyBuildFileError", "textwrap.dedent", "pants.build_graph.build_file_address_mapper.BuildFileAddressMapper.InvalidBuildFileReference", "pants.build_graph.build_file_address_mapper.BuildFileAddressMapper.BuildFileScanError", "pants.build_g...
[((3114, 3153), 'os.path.join', 'os.path.join', (['self.build_root', '"""subdir"""'], {}), "(self.build_root, 'subdir')\n", (3126, 3153), False, 'import os\n'), ((4162, 4183), 'pants.build_graph.address.Address.parse', 'Address.parse', (['""":bar"""'], {}), "(':bar')\n", (4175, 4183), False, 'from pants.build_graph.add...
from __future__ import absolute_import __author__ = '<NAME>' import time import struct try: from pebble import pulse2 except ImportError: pass from . import BaseTransport, MessageTargetWatch from libpebble2.exceptions import ConnectionError, PebbleError class PULSETransport(BaseTransport): """ Repr...
[ "struct.unpack", "time.time", "libpebble2.exceptions.ConnectionError" ]
[((1298, 1309), 'time.time', 'time.time', ([], {}), '()\n', (1307, 1309), False, 'import time\n'), ((1168, 1217), 'libpebble2.exceptions.ConnectionError', 'ConnectionError', (['"""Failed to open PPoPULSE socket"""'], {}), "('Failed to open PPoPULSE socket')\n", (1183, 1217), False, 'from libpebble2.exceptions import Co...
# -*- coding: utf-8 -*- import cx_Oracle import re from collections import namedtuple from .base import (SynDataDriver) import logging log = logging.getLogger(__name__) # RE_CONN_TEMPLATE = re.compile(r"(?:(?P<user>[^/]*)/(?P<password>[^@]*)@//)?(?P<host>[^:^/]*)(?::(?P<port>[^/|^?]*))?(?:/(?P<path>.*))?") RE_CONN_...
[ "logging.getLogger", "cx_Oracle.connect", "collections.namedtuple", "re.compile" ]
[((144, 171), 'logging.getLogger', 'logging.getLogger', (['__name__'], {}), '(__name__)\n', (161, 171), False, 'import logging\n'), ((331, 399), 're.compile', 're.compile', (['"""(?:(?P<user>[^/]*)/(?P<password>[^@]*)@//)?(?P<dsn>.*)"""'], {}), "('(?:(?P<user>[^/]*)/(?P<password>[^@]*)@//)?(?P<dsn>.*)')\n", (341, 399),...
from logging.handlers import SysLogHandler from logging import LogRecord import json class SyslogLoggerMsgOnlyFormatter(object): def format(self, record): return record.msg['event'] class SyslogLoggerJSONFormatter(object): def format(self, record): return json.dumps(record.msg) class Sys...
[ "json.dumps", "logging.handlers.SysLogHandler" ]
[((286, 308), 'json.dumps', 'json.dumps', (['record.msg'], {}), '(record.msg)\n', (296, 308), False, 'import json\n'), ((445, 467), 'logging.handlers.SysLogHandler', 'SysLogHandler', (['address'], {}), '(address)\n', (458, 467), False, 'from logging.handlers import SysLogHandler\n')]
# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
[ "azure.cli.core.azclierror.ArgumentUsageError", "azure.cli.core.azclierror.InvalidArgumentValueError", "azure.graphrbac.models.GetObjectsParameters", "uuid.uuid4", "azure.cli.core.util.is_guid", "knack.util.CLIError" ]
[((9531, 9544), 'azure.cli.core.util.is_guid', 'is_guid', (['role'], {}), '(role)\n', (9538, 9544), False, 'from azure.cli.core.util import is_guid\n'), ((10037, 10049), 'uuid.uuid4', 'uuid.uuid4', ([], {}), '()\n', (10047, 10049), False, 'import uuid\n'), ((1025, 1110), 'azure.cli.core.azclierror.ArgumentUsageError', ...
# -*- encoding: utf-8 -*- """ @Author : zYx.Tom @Contact : <EMAIL> @site : https://zhuyuanxiang.github.io --------------------------- @Software : PyCharm @Project : tensorflow_cookbook @File : C0707_Doc2Vec.py @Version : v0.1 @Time : 2019-12-06 17:12 @License : ...
[ "numpy.sqrt", "tensorflow.python.framework.ops.reset_default_graph", "matplotlib.pyplot.ylabel", "text_tools.generate_batch_data", "text_tools.text_to_numbers", "numpy.array", "tensorflow.reduce_mean", "text_tools.build_dictionary", "tensorflow.set_random_seed", "tensorflow.cast", "tensorflow.sl...
[((1086, 1171), 'numpy.set_printoptions', 'np.set_printoptions', ([], {'precision': '(8)', 'suppress': '(True)', 'threshold': 'np.inf', 'linewidth': '(200)'}), '(precision=8, suppress=True, threshold=np.inf, linewidth=200\n )\n', (1105, 1171), True, 'import numpy as np\n'), ((1219, 1239), 'numpy.random.seed', 'np.ra...
# Copyright 2020 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 applica...
[ "tensorflow.python.framework.ops.RegisterGradient", "tensorflow.python.ops.nn_grad._DepthwiseConv2dNativeGrad", "tensorflow.python.ops.nn_grad._DepthwiseConv2dNativeBackpropFilterGrad", "tensorflow.python.ops.nn_grad._Conv2DBackpropFilterGrad", "tensorflow.python.ops.nn_grad._Conv2DBackpropInputGrad", "te...
[((2170, 2206), 'tensorflow.python.framework.ops.RegisterGradient', 'ops.RegisterGradient', (['"""CustomConv2D"""'], {}), "('CustomConv2D')\n", (2190, 2206), False, 'from tensorflow.python.framework import ops\n'), ((2421, 2470), 'tensorflow.python.framework.ops.RegisterGradient', 'ops.RegisterGradient', (['"""CustomCo...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import torch import numpy as np from utils import Generator import matplotlib.pyplot as plt from IPython.display import HTML import torchvision.utils as vutils import matplotlib.animation as animation from IPython import embed if __name__ == "__main__": ...
[ "utils.Generator", "matplotlib.pyplot.title", "IPython.embed", "torch.nn.DataParallel", "os.path.join", "matplotlib.animation.ArtistAnimation", "matplotlib.pyplot.figure", "matplotlib.pyplot.axis", "numpy.transpose", "matplotlib.pyplot.subplot", "torch.randn", "matplotlib.pyplot.show" ]
[((495, 546), 'torch.nn.DataParallel', 'torch.nn.DataParallel', (['generator'], {'device_ids': '[0, 1]'}), '(generator, device_ids=[0, 1])\n', (516, 546), False, 'import torch\n'), ((968, 994), 'matplotlib.pyplot.figure', 'plt.figure', ([], {'figsize': '(8, 8)'}), '(figsize=(8, 8))\n', (978, 994), True, 'import matplot...
import numpy as np import pandas as pd import matplotlib.pyplot as plt import seaborn as sns from matplotlib.colors import ListedColormap from . import common def v_loc(x): return 40*np.log10(x + 1) def x_loc(x): return 40*(np.log10(x) + 1) def main(debug=False): name = ['I', 'SCA', 'tfp'] suffi...
[ "matplotlib.pyplot.setp", "numpy.log10", "pandas.read_csv", "seaborn.heatmap", "matplotlib.colors.ListedColormap", "seaborn.boxenplot", "pandas.concat" ]
[((744, 765), 'pandas.concat', 'pd.concat', (['df'], {'axis': '(1)'}), '(df, axis=1)\n', (753, 765), True, 'import pandas as pd\n'), ((1477, 1520), 'matplotlib.colors.ListedColormap', 'ListedColormap', (["['silver', 'grey', 'black']"], {}), "(['silver', 'grey', 'black'])\n", (1491, 1520), False, 'from matplotlib.colors...
import pytest from asynctb._registry import HANDLING_FOR_CODE from asynctb._glue import ensure_installed @pytest.fixture def local_registry(): ensure_installed() prev_contents = list(HANDLING_FOR_CODE.items()) yield HANDLING_FOR_CODE.clear() HANDLING_FOR_CODE.update(prev_contents) @pytest.fixtur...
[ "asynctb._registry.HANDLING_FOR_CODE.update", "asynctb._registry.HANDLING_FOR_CODE.clear", "asynctb._glue.ensure_installed", "asynctb._registry.HANDLING_FOR_CODE.items" ]
[((149, 167), 'asynctb._glue.ensure_installed', 'ensure_installed', ([], {}), '()\n', (165, 167), False, 'from asynctb._glue import ensure_installed\n'), ((234, 259), 'asynctb._registry.HANDLING_FOR_CODE.clear', 'HANDLING_FOR_CODE.clear', ([], {}), '()\n', (257, 259), False, 'from asynctb._registry import HANDLING_FOR_...
import os from pathlib import Path import sys from subprocess import run, PIPE from typing import Optional, Sequence, Iterable, List import importlib import traceback from . import LazyLogger log = LazyLogger("HPI cli") import functools @functools.lru_cache() def mypy_cmd() -> Optional[Sequence[str]]: try: ...
[ "tempfile.TemporaryDirectory", "importlib.import_module", "argparse.ArgumentParser", "pathlib.Path", "shutil.which", "subprocess.run", "traceback.format_exception", "sys.exit", "functools.lru_cache" ]
[((244, 265), 'functools.lru_cache', 'functools.lru_cache', ([], {}), '()\n', (263, 265), False, 'import functools\n'), ((525, 545), 'shutil.which', 'shutil.which', (['"""mypy"""'], {}), "('mypy')\n", (537, 545), False, 'import shutil\n'), ((1219, 1417), 'subprocess.run', 'run', (["[*cmd, '--namespace-packages', '--col...
import symjax import symjax.tensor as T import matplotlib.pyplot as plt import numpy as np J = 5 Q = 4 scales = T.power(2, T.linspace(0.1, J - 1, J * Q)) scales = scales[:, None] print(scales.get()) wavelet = symjax.tensor.signal.complex_morlet(5 * scales, np.pi / scales) waveletw = symjax.tensor.signal.fourier_comp...
[ "numpy.abs", "matplotlib.pyplot.savefig", "symjax.tensor.linspace", "symjax.tensor.signal.littewood_paley_normalization", "symjax.tensor.signal.complex_morlet", "matplotlib.pyplot.plot", "numpy.fft.ifft", "numpy.fft.ifftshift", "matplotlib.pyplot.subplot", "symjax.tensor.signal.fourier_complex_mor...
[((212, 275), 'symjax.tensor.signal.complex_morlet', 'symjax.tensor.signal.complex_morlet', (['(5 * scales)', '(np.pi / scales)'], {}), '(5 * scales, np.pi / scales)\n', (247, 275), False, 'import symjax\n'), ((287, 381), 'symjax.tensor.signal.fourier_complex_morlet', 'symjax.tensor.signal.fourier_complex_morlet', (['(...
# -*- coding: utf-8 -*- from __future__ import unicode_literals from __future__ import division from __future__ import absolute_import from __future__ import print_function import matplotlib.pyplot as plt from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas class MatplotlibWidget(FigureC...
[ "matplotlib.pyplot.close" ]
[((619, 638), 'matplotlib.pyplot.close', 'plt.close', (['self.fig'], {}), '(self.fig)\n', (628, 638), True, 'import matplotlib.pyplot as plt\n')]
# -*- coding: utf-8 -*- from cms.utils.i18n import get_default_language from django.conf import settings from django.core.urlresolvers import reverse from django.middleware.locale import LocaleMiddleware from django.utils import translation import re import urllib class DummyMultilingualURLMiddleware(object):...
[ "django.utils.translation.activate" ]
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"""Publication model.""" # Django from django.db import models # Utilities from apartacho.utils.models import ApartachoModel from apartacho.properties.models import Property from apartacho.users.models import User class Publication(ApartachoModel): """Publication model.""" is_published = models.BooleanFiel...
[ "django.db.models.ForeignKey", "django.db.models.CharField", "django.db.models.BooleanField" ]
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from sqlalchemy import Column, String from app.api.database.models import Base def make_subscriber_table(name: str) -> type: """ Return a new SQLAlchemy Table object representing the lichess - twitch pairs for a certain user. """ class Pair(Base): __tablename__ = name __table_args__ = ...
[ "sqlalchemy.String" ]
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# coding: utf-8 import asyncio from concurrent.futures._base import CancelledError import json import typing import aiohttp from aiohttp import web from aiohttp.web_request import Request from rolling.exception import DisconnectClient from rolling.exception import UnableToProcessEvent from rolling.exception import Un...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- from contentos_sdk.key_store import KeyStore def test_key_store(): key_store = KeyStore() key_store.add_key("account1", "key1") key_store.add_key("account2", "key2") assert key_store.get_key("account1") == "key1" assert key_store.get_accounts() == ["...
[ "contentos_sdk.key_store.KeyStore" ]
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''' Authors: <NAME>, <NAME>, <NAME> ''' # FIXME Behebe möglichen fehler mit Flask: # https://github.com/flask-restful/flask-restful/pull/913 # import flask.scaffold # flask.helpers._endpoint_from_view_func = flask.scaffold._endpoint_from_view_funcfrom flask import Flask, request, make_response from flask import Flask,...
[ "flask_cors.CORS", "flask.Flask", "flask.request.get_data", "os.environ.get", "dotenv.load_dotenv", "flask.request.get_json" ]
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