fumiyau/python_comments_free_500000 · Datasets at Hugging Face

f73d0a70138e299b2e68e833326cde7a43a828e0

1,720

py

Python

tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_save_image.py

marshall/gaia

00722269f5d559595fd2f79d9dd70310758af08c

[ "Apache-2.0" ]

1

2019-02-13T23:44:14.000Z

tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_save_image.py

marshall/gaia

00722269f5d559595fd2f79d9dd70310758af08c

[ "Apache-2.0" ]

null

tests/python/gaia-ui-tests/gaiatest/tests/functional/browser/test_browser_save_image.py

marshall/gaia

00722269f5d559595fd2f79d9dd70310758af08c

[ "Apache-2.0" ]

null

# This Source Code Form is subject to the terms of the Mozilla Public # License, v. 2.0. If a copy of the MPL was not distributed with this # file, You can obtain one at http://mozilla.org/MPL/2.0/. try: from marionette.marionette import Actions except: from marionette_driver.marionette import Actions from gaiatest import GaiaTestCase from gaiatest.apps.search.app import Search from gaiatest.apps.system.regions.activities import Activities from gaiatest.apps.system.app import System class TestBrowserSaveImage(GaiaTestCase): def setUp(self): GaiaTestCase.setUp(self) self.connect_to_local_area_network() self.test_url = self.marionette.absolute_url('IMG_0001.jpg') def test_browser_save_image(self): """ https://moztrap.mozilla.org/manage/case/6889/ """ # Check that there are no images on sdcard before saving self.assertEqual(0, len(self.data_layer.sdcard_files('.jpeg'))) search = Search(self.marionette) search.launch() browser = search.go_to_url(self.test_url) browser.switch_to_content() # Long tap on the image inside the browser content image = self.marionette.find_element('css selector', 'img') Actions(self.marionette).\ press(image).\ wait(3).\ release().\ wait(1).\ perform() activities = Activities(self.marionette) activities.tap_save_image() system = System(self.marionette) system.wait_for_notification_toaster_displayed() system.wait_for_notification_toaster_not_displayed() self.assertEqual(1, len(self.data_layer.sdcard_files('.jpeg')))

31.272727

71

0.679651

try: from marionette.marionette import Actions except: from marionette_driver.marionette import Actions from gaiatest import GaiaTestCase from gaiatest.apps.search.app import Search from gaiatest.apps.system.regions.activities import Activities from gaiatest.apps.system.app import System class TestBrowserSaveImage(GaiaTestCase): def setUp(self): GaiaTestCase.setUp(self) self.connect_to_local_area_network() self.test_url = self.marionette.absolute_url('IMG_0001.jpg') def test_browser_save_image(self): self.assertEqual(0, len(self.data_layer.sdcard_files('.jpeg'))) search = Search(self.marionette) search.launch() browser = search.go_to_url(self.test_url) browser.switch_to_content() image = self.marionette.find_element('css selector', 'img') Actions(self.marionette).\ press(image).\ wait(3).\ release().\ wait(1).\ perform() activities = Activities(self.marionette) activities.tap_save_image() system = System(self.marionette) system.wait_for_notification_toaster_displayed() system.wait_for_notification_toaster_not_displayed() self.assertEqual(1, len(self.data_layer.sdcard_files('.jpeg')))

true

f73d0a81543ea606e8f5a1821b795140ae5732d4

6,119

py

Python

ansys/dpf/core/time_freq_scoping_factory.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

18

2021-10-16T10:38:29.000Z

2022-03-29T11:26:42.000Z

ansys/dpf/core/time_freq_scoping_factory.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

79

2021-10-11T23:18:54.000Z

2022-03-29T14:53:14.000Z

ansys/dpf/core/time_freq_scoping_factory.py

jfthuong/pydpf-core

bf2895ebc546e0004f759289bfc9a23196559ac3

[ "MIT" ]

5

2021-11-29T18:35:37.000Z

2022-03-16T16:49:21.000Z

""" time_freq_scoping_factory ========================= Contains functions to simplify creating time frequency scopings. """ from ansys.dpf.core import Scoping from ansys.dpf.core import errors as dpf_errors from ansys.dpf.core.common import locations from ansys.dpf.core.model import Model def scoping_by_load_step(load_step, server=None): """Create a specific ``ansys.dpf.core.Scoping`` for a given load step. The returned scoping describes a specific time frequency support element for a given load step. Parameters ---------- load_step : int Load step ID of the specific time frequency scoping. server : DpfServer, optional Server with the channel connected to the remote or local instance. The default is ``None``, in which case an attempt is made to use the global server. Returns ------- scoping : Scoping Scoping targeting one load step. """ scoping = Scoping(server=server, ids=[load_step], location=locations.time_freq_step) return scoping def scoping_by_load_steps(load_steps, server=None): """Create a specific :class:`ansys.dpf.core.Scoping` for a given list of load steps. The returned scoping describes a specific time frequency support element for a given list of load steps. Parameters ---------- load_steps : list[int] List of load steps IDs of the specific time frequency scoping. server : DpfServer, optional Server with the channel connected to the remote or local instance. The default is ``None``, in which case an attempt is made to use the global server. Returns ------- scoping : Scoping Scoping targeting several load_steps. """ if not isinstance(load_steps, list): raise dpf_errors.InvalidTypeError("list", "load_steps") scoping = Scoping(server=server, ids=load_steps, location=locations.time_freq_step) return scoping def scoping_by_set(cumulative_set, server=None): """Create a specific :class:`ansys.dpf.core.Scoping` for a given cumulative set index. The returned scoping describes a specific time frequency support element for a given cumulative set index. Parameters ---------- cumulative_set : int Cumulative index of the set. server : DpfServer, optional Server with the channel connected to the remote or local instance. The default is ``None``, in which case an attempt is made to use the global server. Returns ------- scoping : Scoping Scoping targeting one set (referenced by cumulative index). """ scoping = Scoping(server=server, ids=[cumulative_set], location=locations.time_freq) return scoping def scoping_by_sets(cumulative_sets, server=None): """Create a specific :class:`ansys.dpf.core.Scoping` for a given list of cumulative set indices. The returned scoping describes a specific time frequency support element for a given list of cumulative sets of indices. Parameters ---------- cumulative_sets : list[int] List of cumulative indices of the sets. server : DpfServer, optional Server with the channel connected to the remote or local instance. The default is ``None``, in which case an attempt is made to use the global server. Returns ------- scoping : Scoping Scoping targeting severals sets (referenced by cumulative indices). """ if not isinstance(cumulative_sets, list): raise dpf_errors.InvalidTypeError("list", "cumulative_sets") scoping = Scoping(server=server, ids=cumulative_sets, location=locations.time_freq) return scoping def scoping_by_step_and_substep( load_step_id, subset_id, time_freq_support ): """Create a specific :class:`ansys.dpf.core.Scoping` for a given step and subset. The returned scoping describes a specific time frequency support element for a given step and substep. Parameters ---------- load_step_id : int ID of the load step. subset_id : int ID of the subset. time_freq_support : TimeFreqSupport Returns ------- scoping : Scoping Scoping based on a given step and substep of a time frequency support. """ set_index = time_freq_support.get_cumulative_index(load_step_id - 1, subset_id - 1) scoping = Scoping( ids=[set_index + 1], location=locations.time_freq, server=time_freq_support._server) return scoping def scoping_by_step_and_substep_from_model(load_step_id, subset_id, model, server=None): """Create a specific ``ansys.dpf.core.Scoping`` for a given step and substep. The returned scoping describes a specific model's time freq support element for a given step and substep. Parameters ---------- load_step_id : int ID of the step. subset_id : int ID of the subset. model : Model server : DpfServer, optional Server with the channel connected to the remote or local instance. The default is ``None``, in which case an attempt is made to use the global server. Returns ------- scoping : Scoping Scoping based on a given step/substep of a model's time_freq_support.""" return scoping_by_step_and_substep( load_step_id, subset_id, model.metadata.time_freq_support ) def scoping_on_all_time_freqs(tf_support_or_model): """Create a specific :class:`ansys.dpf.core.Scoping` with all time or frequency sets of a :class:`ansys.dpf.core.TimeFreqSupport` or a class:`ansys.dpf.core.Model` Parameters ---------- tf_support_or_model : TimeFreqSupport, Model Returns ------- scoping : Scoping Scoping with all time or frequency sets IDs. """ if isinstance(tf_support_or_model, Model): tf_support_or_model = tf_support_or_model.metadata.time_freq_support return Scoping( ids=range(1, len(tf_support_or_model.time_frequencies) + 1), location=locations.time_freq, server=tf_support_or_model._server)

32.547872

100

0.68655

from ansys.dpf.core import Scoping from ansys.dpf.core import errors as dpf_errors from ansys.dpf.core.common import locations from ansys.dpf.core.model import Model def scoping_by_load_step(load_step, server=None): scoping = Scoping(server=server, ids=[load_step], location=locations.time_freq_step) return scoping def scoping_by_load_steps(load_steps, server=None): if not isinstance(load_steps, list): raise dpf_errors.InvalidTypeError("list", "load_steps") scoping = Scoping(server=server, ids=load_steps, location=locations.time_freq_step) return scoping def scoping_by_set(cumulative_set, server=None): scoping = Scoping(server=server, ids=[cumulative_set], location=locations.time_freq) return scoping def scoping_by_sets(cumulative_sets, server=None): if not isinstance(cumulative_sets, list): raise dpf_errors.InvalidTypeError("list", "cumulative_sets") scoping = Scoping(server=server, ids=cumulative_sets, location=locations.time_freq) return scoping def scoping_by_step_and_substep( load_step_id, subset_id, time_freq_support ): set_index = time_freq_support.get_cumulative_index(load_step_id - 1, subset_id - 1) scoping = Scoping( ids=[set_index + 1], location=locations.time_freq, server=time_freq_support._server) return scoping def scoping_by_step_and_substep_from_model(load_step_id, subset_id, model, server=None): return scoping_by_step_and_substep( load_step_id, subset_id, model.metadata.time_freq_support ) def scoping_on_all_time_freqs(tf_support_or_model): if isinstance(tf_support_or_model, Model): tf_support_or_model = tf_support_or_model.metadata.time_freq_support return Scoping( ids=range(1, len(tf_support_or_model.time_frequencies) + 1), location=locations.time_freq, server=tf_support_or_model._server)

true

f73d0b339751590edcee1d843cf956e4e643fcc3

6,148

py

Python

src/oci/oda/models/create_digital_assistant_version_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/oda/models/create_digital_assistant_version_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/oda/models/create_digital_assistant_version_details.py

pabs3/oci-python-sdk

437ba18ce39af2d1090e277c4bb8750c89f83021

[ "Apache-2.0", "BSD-3-Clause" ]

null

# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from .create_digital_assistant_details import CreateDigitalAssistantDetails from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class CreateDigitalAssistantVersionDetails(CreateDigitalAssistantDetails): """ Properties that are required to create a new version of an existing Digital Assistant. """ def __init__(self, **kwargs): """ Initializes a new CreateDigitalAssistantVersionDetails object with values from keyword arguments. The default value of the :py:attr:`~oci.oda.models.CreateDigitalAssistantVersionDetails.kind` attribute of this class is ``VERSION`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param kind: The value to assign to the kind property of this CreateDigitalAssistantVersionDetails. Allowed values for this property are: "NEW", "CLONE", "VERSION", "EXTEND" :type kind: str :param category: The value to assign to the category property of this CreateDigitalAssistantVersionDetails. :type category: str :param description: The value to assign to the description property of this CreateDigitalAssistantVersionDetails. :type description: str :param platform_version: The value to assign to the platform_version property of this CreateDigitalAssistantVersionDetails. :type platform_version: str :param multilingual_mode: The value to assign to the multilingual_mode property of this CreateDigitalAssistantVersionDetails. Allowed values for this property are: "NATIVE", "TRANSLATION" :type multilingual_mode: str :param primary_language_tag: The value to assign to the primary_language_tag property of this CreateDigitalAssistantVersionDetails. :type primary_language_tag: str :param freeform_tags: The value to assign to the freeform_tags property of this CreateDigitalAssistantVersionDetails. :type freeform_tags: dict(str, str) :param defined_tags: The value to assign to the defined_tags property of this CreateDigitalAssistantVersionDetails. :type defined_tags: dict(str, dict(str, object)) :param id: The value to assign to the id property of this CreateDigitalAssistantVersionDetails. :type id: str :param version: The value to assign to the version property of this CreateDigitalAssistantVersionDetails. :type version: str """ self.swagger_types = { 'kind': 'str', 'category': 'str', 'description': 'str', 'platform_version': 'str', 'multilingual_mode': 'str', 'primary_language_tag': 'str', 'freeform_tags': 'dict(str, str)', 'defined_tags': 'dict(str, dict(str, object))', 'id': 'str', 'version': 'str' } self.attribute_map = { 'kind': 'kind', 'category': 'category', 'description': 'description', 'platform_version': 'platformVersion', 'multilingual_mode': 'multilingualMode', 'primary_language_tag': 'primaryLanguageTag', 'freeform_tags': 'freeformTags', 'defined_tags': 'definedTags', 'id': 'id', 'version': 'version' } self._kind = None self._category = None self._description = None self._platform_version = None self._multilingual_mode = None self._primary_language_tag = None self._freeform_tags = None self._defined_tags = None self._id = None self._version = None self._kind = 'VERSION' @property def id(self): """ **[Required]** Gets the id of this CreateDigitalAssistantVersionDetails. The unique identifier of the Digital Assistant to create a new version of. :return: The id of this CreateDigitalAssistantVersionDetails. :rtype: str """ return self._id @id.setter def id(self, id): """ Sets the id of this CreateDigitalAssistantVersionDetails. The unique identifier of the Digital Assistant to create a new version of. :param id: The id of this CreateDigitalAssistantVersionDetails. :type: str """ self._id = id @property def version(self): """ **[Required]** Gets the version of this CreateDigitalAssistantVersionDetails. The resource's version. The version can only contain numbers, letters, periods, underscores, dashes or spaces. The version must begin with a letter or a number. :return: The version of this CreateDigitalAssistantVersionDetails. :rtype: str """ return self._version @version.setter def version(self, version): """ Sets the version of this CreateDigitalAssistantVersionDetails. The resource's version. The version can only contain numbers, letters, periods, underscores, dashes or spaces. The version must begin with a letter or a number. :param version: The version of this CreateDigitalAssistantVersionDetails. :type: str """ self._version = version def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

37.950617

245

0.658426

from .create_digital_assistant_details import CreateDigitalAssistantDetails from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class CreateDigitalAssistantVersionDetails(CreateDigitalAssistantDetails): def __init__(self, **kwargs): self.swagger_types = { 'kind': 'str', 'category': 'str', 'description': 'str', 'platform_version': 'str', 'multilingual_mode': 'str', 'primary_language_tag': 'str', 'freeform_tags': 'dict(str, str)', 'defined_tags': 'dict(str, dict(str, object))', 'id': 'str', 'version': 'str' } self.attribute_map = { 'kind': 'kind', 'category': 'category', 'description': 'description', 'platform_version': 'platformVersion', 'multilingual_mode': 'multilingualMode', 'primary_language_tag': 'primaryLanguageTag', 'freeform_tags': 'freeformTags', 'defined_tags': 'definedTags', 'id': 'id', 'version': 'version' } self._kind = None self._category = None self._description = None self._platform_version = None self._multilingual_mode = None self._primary_language_tag = None self._freeform_tags = None self._defined_tags = None self._id = None self._version = None self._kind = 'VERSION' @property def id(self): return self._id @id.setter def id(self, id): self._id = id @property def version(self): return self._version @version.setter def version(self, version): self._version = version def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

true

f73d0bfc9c7fa46db6bcab3d6885939da199bcd7

944

py

Python

leetcode/0078_Subsets/result.py

theck17/notes

f32f0f4b8f821b1ed38d173ef0913efddd094b91

[ "MIT" ]

null

leetcode/0078_Subsets/result.py

theck17/notes

f32f0f4b8f821b1ed38d173ef0913efddd094b91

[ "MIT" ]

null

leetcode/0078_Subsets/result.py

theck17/notes

f32f0f4b8f821b1ed38d173ef0913efddd094b91

[ "MIT" ]

null

# !/usr/bin/env python3 # Author: C.K # Email: theck17@163.com # DateTime:2021-04-27 21:41:14 # Description: import os import sys class Solution(object): def subsets(self, nums): ret = [] self.dfs(nums, [], ret) return ret def dfs(self, nums, path, ret): ret.append(path) for i in range(len(nums)): self.dfs(nums[i + 1:], path + [nums[i]], ret) # Bit Manipulation def subsets2(self, nums): res = [] nums.sort() for i in xrange(1 << len(nums)): tmp = [] for j in xrange(len(nums)): if i & 1 << j: # if i >> j & 1: tmp.append(nums[j]) res.append(tmp) return res # Iteratively def subsets(self, nums): res = [[]] for num in sorted(nums): res += [item + [num] for item in res] return res if __name__ == "__main__": pass

21.454545

57

0.494703

import os import sys class Solution(object): def subsets(self, nums): ret = [] self.dfs(nums, [], ret) return ret def dfs(self, nums, path, ret): ret.append(path) for i in range(len(nums)): self.dfs(nums[i + 1:], path + [nums[i]], ret) def subsets2(self, nums): res = [] nums.sort() for i in xrange(1 << len(nums)): tmp = [] for j in xrange(len(nums)): if i & 1 << j: tmp.append(nums[j]) res.append(tmp) return res def subsets(self, nums): res = [[]] for num in sorted(nums): res += [item + [num] for item in res] return res if __name__ == "__main__": pass

true

f73d0ccd60d4f9f3638e3275c7a342afcf7e8570

24,873

py

Python

Fujitsu/benchmarks/resnet/implementations/mxnet/3rdparty/horovod/setup.py

mengkai94/training_results_v0.6

43dc3e250f8da47b5f8833197d74cb8cf1004fc9

[ "Apache-2.0" ]

42

2019-07-11T18:23:52.000Z

2021-09-14T08:21:09.000Z

Fujitsu/benchmarks/resnet/implementations/mxnet/3rdparty/horovod/setup.py

mengkai94/training_results_v0.6

43dc3e250f8da47b5f8833197d74cb8cf1004fc9

[ "Apache-2.0" ]

23

2019-07-29T05:21:52.000Z

2020-08-31T18:51:42.000Z

Fujitsu/benchmarks/resnet/implementations/mxnet/3rdparty/horovod/setup.py

mengkai94/training_results_v0.6

43dc3e250f8da47b5f8833197d74cb8cf1004fc9

[ "Apache-2.0" ]

51

2019-07-12T05:10:25.000Z

2021-07-28T16:19:06.000Z

# Copyright 2017 Uber Technologies, 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 applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== from __future__ import print_function import os from setuptools import setup, Extension, find_packages from setuptools.command.build_ext import build_ext from distutils.errors import CompileError, DistutilsError, DistutilsPlatformError, LinkError import shlex import subprocess import sys import textwrap import traceback from horovod import __version__ common_mpi_lib = Extension('horovod.common.mpi_lib', []) tensorflow_mpi_lib = Extension('horovod.tensorflow.mpi_lib', []) torch_mpi_lib = Extension('horovod.torch.mpi_lib', []) torch_mpi_lib_impl = Extension('horovod.torch.mpi_lib_impl', []) def is_build_action(): if len(sys.argv) <= 1: return False if sys.argv[1].startswith('build'): return True if sys.argv[1].startswith('bdist'): return True if sys.argv[1].startswith('install'): return True def check_tf_version(): try: import tensorflow as tf if tf.__version__ < '1.1.0': raise DistutilsPlatformError( 'Your TensorFlow version %s is outdated. ' 'Horovod requires tensorflow>=1.1.0' % tf.__version__) except ImportError: raise DistutilsPlatformError( 'import tensorflow failed, is it installed?\n\n%s' % traceback.format_exc()) except AttributeError: # This means that tf.__version__ was not exposed, which makes it *REALLY* old. raise DistutilsPlatformError( 'Your TensorFlow version is outdated. Horovod requires tensorflow>=1.1.0') def get_cpp_flags(build_ext): last_err = None default_flags = ['-std=c++11', '-fPIC', '-O2'] if sys.platform == 'darwin': # Darwin most likely will have Clang, which has libc++. flags_to_try = [default_flags + ['-stdlib=libc++'], default_flags] else: flags_to_try = [default_flags, default_flags + ['-stdlib=libc++']] for cpp_flags in flags_to_try: try: test_compile(build_ext, 'test_cpp_flags', extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <unordered_map> void test() { } ''')) return cpp_flags except (CompileError, LinkError): last_err = 'Unable to determine C++ compilation flags (see error above).' except Exception: last_err = 'Unable to determine C++ compilation flags. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_include_dirs(): import tensorflow as tf tf_inc = tf.sysconfig.get_include() return [tf_inc, '%s/external/nsync/public' % tf_inc] def get_tf_lib_dirs(): import tensorflow as tf tf_lib = tf.sysconfig.get_lib() return [tf_lib] def get_tf_libs(build_ext, lib_dirs, cpp_flags): last_err = None for tf_libs in [['tensorflow_framework'], []]: try: lib_file = test_compile(build_ext, 'test_tensorflow_libs', library_dirs=lib_dirs, libraries=tf_libs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ void test() { } ''')) from tensorflow.python.framework import load_library load_library.load_op_library(lib_file) return tf_libs except (CompileError, LinkError): last_err = 'Unable to determine -l link flags to use with TensorFlow (see error above).' except Exception: last_err = 'Unable to determine -l link flags to use with TensorFlow. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_abi(build_ext, include_dirs, lib_dirs, libs, cpp_flags): last_err = None cxx11_abi_macro = '_GLIBCXX_USE_CXX11_ABI' for cxx11_abi in ['0', '1']: try: lib_file = test_compile(build_ext, 'test_tensorflow_abi', macros=[(cxx11_abi_macro, cxx11_abi)], include_dirs=include_dirs, library_dirs=lib_dirs, libraries=libs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <string> #include "tensorflow/core/framework/op.h" #include "tensorflow/core/framework/op_kernel.h" #include "tensorflow/core/framework/shape_inference.h" void test() { auto ignore = tensorflow::strings::StrCat("a", "b"); } ''')) from tensorflow.python.framework import load_library load_library.load_op_library(lib_file) return cxx11_abi_macro, cxx11_abi except (CompileError, LinkError): last_err = 'Unable to determine CXX11 ABI to use with TensorFlow (see error above).' except Exception: last_err = 'Unable to determine CXX11 ABI to use with TensorFlow. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_flags(build_ext, cpp_flags): import tensorflow as tf try: return tf.sysconfig.get_compile_flags(), tf.sysconfig.get_link_flags() except AttributeError: # fallback to the previous logic tf_include_dirs = get_tf_include_dirs() tf_lib_dirs = get_tf_lib_dirs() tf_libs = get_tf_libs(build_ext, tf_lib_dirs, cpp_flags) tf_abi = get_tf_abi(build_ext, tf_include_dirs, tf_lib_dirs, tf_libs, cpp_flags) compile_flags = [] for include_dir in tf_include_dirs: compile_flags.append('-I%s' % include_dir) if tf_abi: compile_flags.append('-D%s=%s' % tf_abi) link_flags = [] for lib_dir in tf_lib_dirs: link_flags.append('-L%s' % lib_dir) for lib in tf_libs: link_flags.append('-l%s' % lib) return compile_flags, link_flags def get_mpi_flags(): show_command = os.environ.get('HOROVOD_MPICXX_SHOW', 'mpicxx -show') try: mpi_show_output = subprocess.check_output( shlex.split(show_command), universal_newlines=True).strip() mpi_show_args = shlex.split(mpi_show_output) if not mpi_show_args[0].startswith('-'): # Open MPI and MPICH print compiler name as a first word, skip it mpi_show_args = mpi_show_args[1:] # strip off compiler call portion and always escape each arg return ' '.join(['"' + arg.replace('"', '"\'"\'"') + '"' for arg in mpi_show_args]) except Exception: raise DistutilsPlatformError( '%s failed (see error below), is MPI in $PATH?\n' 'Note: If your version of MPI has a custom command to show compilation flags, ' 'please specify it with the HOROVOD_MPICXX_SHOW environment variable.\n\n' '%s' % (show_command, traceback.format_exc())) def test_compile(build_ext, name, code, libraries=None, include_dirs=None, library_dirs=None, macros=None, extra_preargs=None): test_compile_dir = os.path.join(build_ext.build_temp, 'test_compile') if not os.path.exists(test_compile_dir): os.makedirs(test_compile_dir) source_file = os.path.join(test_compile_dir, '%s.cc' % name) with open(source_file, 'w') as f: f.write(code) compiler = build_ext.compiler [object_file] = compiler.object_filenames([source_file]) shared_object_file = compiler.shared_object_filename( name, output_dir=test_compile_dir) compiler.compile([source_file], extra_preargs=extra_preargs, include_dirs=include_dirs, macros=macros) compiler.link_shared_object( [object_file], shared_object_file, libraries=libraries, library_dirs=library_dirs) return shared_object_file def get_cuda_dirs(build_ext, cpp_flags): cuda_include_dirs = [] cuda_lib_dirs = [] cuda_home = os.environ.get('HOROVOD_CUDA_HOME') if cuda_home: cuda_include_dirs += ['%s/include' % cuda_home] cuda_lib_dirs += ['%s/lib' % cuda_home, '%s/lib64' % cuda_home] cuda_include = os.environ.get('HOROVOD_CUDA_INCLUDE') if cuda_include: cuda_include_dirs += [cuda_include] cuda_lib = os.environ.get('HOROVOD_CUDA_LIB') if cuda_lib: cuda_lib_dirs += [cuda_lib] if not cuda_include_dirs and not cuda_lib_dirs: # default to /usr/local/cuda cuda_include_dirs += ['/usr/local/cuda/include'] cuda_lib_dirs += ['/usr/local/cuda/lib', '/usr/local/cuda/lib64'] try: test_compile(build_ext, 'test_cuda', libraries=['cudart'], include_dirs=cuda_include_dirs, library_dirs=cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <cuda_runtime.h> void test() { cudaSetDevice(0); } ''')) except (CompileError, LinkError): raise DistutilsPlatformError( 'CUDA library was not found (see error above).\n' 'Please specify correct CUDA location with the HOROVOD_CUDA_HOME ' 'environment variable or combination of HOROVOD_CUDA_INCLUDE and ' 'HOROVOD_CUDA_LIB environment variables.\n\n' 'HOROVOD_CUDA_HOME - path where CUDA include and lib directories can be found\n' 'HOROVOD_CUDA_INCLUDE - path to CUDA include directory\n' 'HOROVOD_CUDA_LIB - path to CUDA lib directory') return cuda_include_dirs, cuda_lib_dirs def get_nccl_vals(build_ext, cuda_include_dirs, cuda_lib_dirs, cpp_flags): nccl_include_dirs = [] nccl_lib_dirs = [] nccl_libs = [] nccl_home = os.environ.get('HOROVOD_NCCL_HOME') if nccl_home: nccl_include_dirs += ['%s/include' % nccl_home] nccl_lib_dirs += ['%s/lib' % nccl_home, '%s/lib64' % nccl_home] nccl_include_dir = os.environ.get('HOROVOD_NCCL_INCLUDE') if nccl_include_dir: nccl_include_dirs += [nccl_include_dir] nccl_lib_dir = os.environ.get('HOROVOD_NCCL_LIB') if nccl_lib_dir: nccl_lib_dirs += [nccl_lib_dir] nccl_link_mode = os.environ.get('HOROVOD_NCCL_LINK', 'STATIC') if nccl_link_mode.upper() == 'SHARED': nccl_libs += ['nccl'] else: nccl_libs += ['nccl_static'] try: test_compile(build_ext, 'test_nccl', libraries=nccl_libs, include_dirs=nccl_include_dirs + cuda_include_dirs, library_dirs=nccl_lib_dirs + cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <nccl.h> #if NCCL_MAJOR < 2 #error Horovod requires NCCL 2.0 or later version, please upgrade. #endif void test() { ncclUniqueId nccl_id; ncclGetUniqueId(&nccl_id); } ''')) except (CompileError, LinkError): raise DistutilsPlatformError( 'NCCL 2.0 library or its later version was not found (see error above).\n' 'Please specify correct NCCL location with the HOROVOD_NCCL_HOME ' 'environment variable or combination of HOROVOD_NCCL_INCLUDE and ' 'HOROVOD_NCCL_LIB environment variables.\n\n' 'HOROVOD_NCCL_HOME - path where NCCL include and lib directories can be found\n' 'HOROVOD_NCCL_INCLUDE - path to NCCL include directory\n' 'HOROVOD_NCCL_LIB - path to NCCL lib directory') return nccl_include_dirs, nccl_lib_dirs, nccl_libs def get_ddl_dirs(): # Default DDL home ddl_home = '/opt/DL/ddl' ddl_include_dir = '%s/include' % ddl_home ddl_lib_dir = '%s/lib' % ddl_home if not os.path.exists(ddl_lib_dir): raise DistutilsPlatformError('DDL lib was not found. Please, make sure \'ddl\' package is installed.') if not os.path.exists(ddl_include_dir): raise DistutilsPlatformError('DDL include was not found. Please, make sure \'ddl-dev\' package is installed.') return [ddl_include_dir], [ddl_lib_dir] def get_common_options(build_ext): cpp_flags = get_cpp_flags(build_ext) mpi_flags = get_mpi_flags() gpu_allreduce = os.environ.get('HOROVOD_GPU_ALLREDUCE') if gpu_allreduce and gpu_allreduce != 'MPI' and gpu_allreduce != 'NCCL' and \ gpu_allreduce != 'DDL': raise DistutilsError('HOROVOD_GPU_ALLREDUCE=%s is invalid, supported ' 'values are "", "MPI", "NCCL", "DDL".' % gpu_allreduce) gpu_allgather = os.environ.get('HOROVOD_GPU_ALLGATHER') if gpu_allgather and gpu_allgather != 'MPI': raise DistutilsError('HOROVOD_GPU_ALLGATHER=%s is invalid, supported ' 'values are "", "MPI".' % gpu_allgather) gpu_broadcast = os.environ.get('HOROVOD_GPU_BROADCAST') if gpu_broadcast and gpu_broadcast != 'MPI': raise DistutilsError('HOROVOD_GPU_BROADCAST=%s is invalid, supported ' 'values are "", "MPI".' % gpu_broadcast) if gpu_allreduce or gpu_allgather or gpu_broadcast: have_cuda = True cuda_include_dirs, cuda_lib_dirs = get_cuda_dirs(build_ext, cpp_flags) else: have_cuda = False cuda_include_dirs = cuda_lib_dirs = [] if gpu_allreduce == 'NCCL': have_nccl = True nccl_include_dirs, nccl_lib_dirs, nccl_libs = get_nccl_vals( build_ext, cuda_include_dirs, cuda_lib_dirs, cpp_flags) else: have_nccl = False nccl_include_dirs = nccl_lib_dirs = nccl_libs = [] if gpu_allreduce == 'DDL': have_ddl = True ddl_include_dirs, ddl_lib_dirs = get_ddl_dirs() else: have_ddl = False ddl_include_dirs = ddl_lib_dirs = [] MACROS = [] INCLUDES = [] SOURCES = [] COMPILE_FLAGS = cpp_flags + shlex.split(mpi_flags) LINK_FLAGS = shlex.split(mpi_flags) LIBRARY_DIRS = [] LIBRARIES = [] if have_cuda: MACROS += [('HAVE_CUDA', '1')] INCLUDES += cuda_include_dirs LIBRARY_DIRS += cuda_lib_dirs LIBRARIES += ['cudart'] if have_nccl: MACROS += [('HAVE_NCCL', '1')] INCLUDES += nccl_include_dirs LINK_FLAGS += ['-Wl,--version-script=hide_nccl.lds'] LIBRARY_DIRS += nccl_lib_dirs LIBRARIES += nccl_libs if have_ddl: MACROS += [('HAVE_DDL', '1')] INCLUDES += ddl_include_dirs LIBRARY_DIRS += ddl_lib_dirs LIBRARIES += ['ddl', 'ddl_pack'] if gpu_allreduce: MACROS += [('HOROVOD_GPU_ALLREDUCE', "'%s'" % gpu_allreduce[0])] if gpu_allgather: MACROS += [('HOROVOD_GPU_ALLGATHER', "'%s'" % gpu_allgather[0])] if gpu_broadcast: MACROS += [('HOROVOD_GPU_BROADCAST', "'%s'" % gpu_broadcast[0])] return dict(MACROS=MACROS, INCLUDES=INCLUDES, SOURCES=SOURCES, COMPILE_FLAGS=COMPILE_FLAGS, LINK_FLAGS=LINK_FLAGS, LIBRARY_DIRS=LIBRARY_DIRS, LIBRARIES=LIBRARIES) def build_common_extension(build_ext, options, abi_compile_flags): common_mpi_lib.define_macros = options['MACROS'] common_mpi_lib.include_dirs = options['INCLUDES'] common_mpi_lib.sources = options['SOURCES'] + ['horovod/common/common.cc', 'horovod/common/mpi_message.cc', 'horovod/common/operations.cc', 'horovod/common/timeline.cc'] common_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \ abi_compile_flags common_mpi_lib.extra_link_args = options['LINK_FLAGS'] common_mpi_lib.library_dirs = options['LIBRARY_DIRS'] common_mpi_lib.libraries = options['LIBRARIES'] build_ext.build_extension(common_mpi_lib) def build_tf_extension(build_ext, options): check_tf_version() tf_compile_flags, tf_link_flags = get_tf_flags( build_ext, options['COMPILE_FLAGS']) tensorflow_mpi_lib.define_macros = options['MACROS'] tensorflow_mpi_lib.include_dirs = options['INCLUDES'] tensorflow_mpi_lib.sources = options['SOURCES'] + \ ['horovod/tensorflow/mpi_ops.cc'] tensorflow_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \ tf_compile_flags tensorflow_mpi_lib.extra_link_args = options['LINK_FLAGS'] + tf_link_flags tensorflow_mpi_lib.library_dirs = options['LIBRARY_DIRS'] tensorflow_mpi_lib.libraries = options['LIBRARIES'] build_ext.build_extension(tensorflow_mpi_lib) # Return ABI flags used for TensorFlow compilation. We will use this flag # to compile all the libraries. return [flag for flag in tf_compile_flags if '_GLIBCXX_USE_CXX11_ABI' in flag] def dummy_import_torch(): try: import torch except: pass def check_torch_import(): try: import torch except ImportError: raise DistutilsPlatformError( 'import torch failed, is it installed?\n\n%s' % traceback.format_exc()) def is_torch_cuda(): try: from torch.utils.ffi import create_extension cuda_test_ext = create_extension( name='horovod.torch.test_cuda', headers=['horovod/torch/dummy.h'], sources=[], with_cuda=True, extra_compile_args=['-std=c11', '-fPIC', '-O2'] ) cuda_test_ext.build() return True except: print('INFO: Above error indicates that this PyTorch installation does not support CUDA.') return False def check_macro(macros, key): return any(k == key and v for k, v in macros) def set_macro(macros, key, new_value): if any(k == key for k, _ in macros): return [(k, new_value if k == key else v) for k, v in macros] else: return macros + [(key, new_value)] class protect_files(object): def __init__(self, *files): self.files = files def __enter__(self): for file in self.files: os.rename(file, file + '.protected') def __exit__(self, type, value, traceback): for file in self.files: os.rename(file + '.protected', file) def build_torch_extension(build_ext, options, abi_compile_flags): check_torch_import() have_cuda = is_torch_cuda() if not have_cuda and check_macro(options['MACROS'], 'HAVE_CUDA'): raise DistutilsPlatformError( 'Horovod build with GPU support was requested, but this PyTorch ' 'installation does not support CUDA.') # Update HAVE_CUDA to mean that PyTorch supports CUDA. Internally, we will be checking # HOROVOD_GPU_(ALLREDUCE|ALLGATHER|BROADCAST) to decide whether we should use GPU # version or transfer tensors to CPU memory for those operations. updated_macros = set_macro( options['MACROS'], 'HAVE_CUDA', str(int(have_cuda))) # Create_extension overwrites these files which are customized, we need to protect them. with protect_files('horovod/torch/mpi_lib/__init__.py', 'horovod/torch/mpi_lib_impl/__init__.py'): from torch.utils.ffi import create_extension ffi_iface = create_extension( name='horovod.torch.mpi_lib', headers=['horovod/torch/interface.h'] + (['horovod/torch/interface_cuda.h'] if have_cuda else []), with_cuda=have_cuda, language='c', package=True, sources=[], extra_compile_args=['-std=c11', '-fPIC', '-O2'] ) ffi_impl = create_extension( name='horovod.torch.mpi_lib_impl', headers=[], with_cuda=have_cuda, language='c++', package=True, source_extension='.cc', define_macros=updated_macros, include_dirs=options['INCLUDES'], sources=options['SOURCES'] + ['horovod/torch/mpi_ops.cc', 'horovod/torch/handle_manager.cc', 'horovod/torch/ready_event.cc', 'horovod/torch/tensor_util.cc', 'horovod/torch/cuda_util.cc', 'horovod/torch/adapter.cc'], extra_compile_args=options['COMPILE_FLAGS'] + abi_compile_flags, extra_link_args=options['LINK_FLAGS'], library_dirs=options['LIBRARY_DIRS'], libraries=options['LIBRARIES'] ) for ffi, setuptools_ext in [(ffi_iface, torch_mpi_lib), (ffi_impl, torch_mpi_lib_impl)]: ffi_ext = ffi.distutils_extension() # ffi_ext is distutils Extension, not setuptools Extension for k, v in ffi_ext.__dict__.items(): setuptools_ext.__dict__[k] = v build_ext.build_extension(setuptools_ext) # run the customize_compiler class custom_build_ext(build_ext): def build_extensions(self): options = get_common_options(self) abi_compile_flags = [] built_plugins = [] # If PyTorch is installed, it must be imported before TensorFlow, otherwise # we may get an error: dlopen: cannot load any more object with static TLS dummy_import_torch() if not os.environ.get('HOROVOD_WITHOUT_TENSORFLOW'): try: abi_compile_flags = build_tf_extension(self, options) built_plugins.append(True) except: if not os.environ.get('HOROVOD_WITH_TENSORFLOW'): print('INFO: Unable to build TensorFlow plugin, will skip it.\n\n' '%s' % traceback.format_exc(), file=sys.stderr) built_plugins.append(False) else: raise if not os.environ.get('HOROVOD_WITHOUT_PYTORCH'): try: build_torch_extension(self, options, abi_compile_flags) built_plugins.append(True) except: if not os.environ.get('HOROVOD_WITH_PYTORCH'): print('INFO: Unable to build PyTorch plugin, will skip it.\n\n' '%s' % traceback.format_exc(), file=sys.stderr) built_plugins.append(False) else: raise if not built_plugins: raise DistutilsError( 'Both TensorFlow and PyTorch plugins were excluded from build. Aborting.') if not any(built_plugins): raise DistutilsError( 'Neither TensorFlow nor PyTorch plugins were built. See errors above.') build_common_extension(self, options, abi_compile_flags) setup(name='horovod', version=__version__, packages=find_packages(), description='Distributed training framework for TensorFlow, Keras, and PyTorch.', author='Uber Technologies, Inc.', long_description=textwrap.dedent('''\ Horovod is a distributed training framework for TensorFlow, Keras, and PyTorch. The goal of Horovod is to make distributed Deep Learning fast and easy to use.'''), url='https://github.com/uber/horovod', classifiers=[ 'License :: OSI Approved :: Apache Software License' ], ext_modules=[common_mpi_lib, tensorflow_mpi_lib, torch_mpi_lib, torch_mpi_lib_impl], cmdclass={'build_ext': custom_build_ext}, # cffi is required for PyTorch # If cffi is specified in setup_requires, it will need libffi to be installed on the machine, # which is undesirable. Luckily, `install` action will install cffi before executing build, # so it's only necessary for `build*` or `bdist*` actions. setup_requires=['cffi>=1.4.0'] if is_build_action() else [], install_requires=['cffi>=1.4.0'], zip_safe=False)

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from __future__ import print_function import os from setuptools import setup, Extension, find_packages from setuptools.command.build_ext import build_ext from distutils.errors import CompileError, DistutilsError, DistutilsPlatformError, LinkError import shlex import subprocess import sys import textwrap import traceback from horovod import __version__ common_mpi_lib = Extension('horovod.common.mpi_lib', []) tensorflow_mpi_lib = Extension('horovod.tensorflow.mpi_lib', []) torch_mpi_lib = Extension('horovod.torch.mpi_lib', []) torch_mpi_lib_impl = Extension('horovod.torch.mpi_lib_impl', []) def is_build_action(): if len(sys.argv) <= 1: return False if sys.argv[1].startswith('build'): return True if sys.argv[1].startswith('bdist'): return True if sys.argv[1].startswith('install'): return True def check_tf_version(): try: import tensorflow as tf if tf.__version__ < '1.1.0': raise DistutilsPlatformError( 'Your TensorFlow version %s is outdated. ' 'Horovod requires tensorflow>=1.1.0' % tf.__version__) except ImportError: raise DistutilsPlatformError( 'import tensorflow failed, is it installed?\n\n%s' % traceback.format_exc()) except AttributeError: raise DistutilsPlatformError( 'Your TensorFlow version is outdated. Horovod requires tensorflow>=1.1.0') def get_cpp_flags(build_ext): last_err = None default_flags = ['-std=c++11', '-fPIC', '-O2'] if sys.platform == 'darwin': flags_to_try = [default_flags + ['-stdlib=libc++'], default_flags] else: flags_to_try = [default_flags, default_flags + ['-stdlib=libc++']] for cpp_flags in flags_to_try: try: test_compile(build_ext, 'test_cpp_flags', extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <unordered_map> void test() { } ''')) return cpp_flags except (CompileError, LinkError): last_err = 'Unable to determine C++ compilation flags (see error above).' except Exception: last_err = 'Unable to determine C++ compilation flags. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_include_dirs(): import tensorflow as tf tf_inc = tf.sysconfig.get_include() return [tf_inc, '%s/external/nsync/public' % tf_inc] def get_tf_lib_dirs(): import tensorflow as tf tf_lib = tf.sysconfig.get_lib() return [tf_lib] def get_tf_libs(build_ext, lib_dirs, cpp_flags): last_err = None for tf_libs in [['tensorflow_framework'], []]: try: lib_file = test_compile(build_ext, 'test_tensorflow_libs', library_dirs=lib_dirs, libraries=tf_libs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ void test() { } ''')) from tensorflow.python.framework import load_library load_library.load_op_library(lib_file) return tf_libs except (CompileError, LinkError): last_err = 'Unable to determine -l link flags to use with TensorFlow (see error above).' except Exception: last_err = 'Unable to determine -l link flags to use with TensorFlow. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_abi(build_ext, include_dirs, lib_dirs, libs, cpp_flags): last_err = None cxx11_abi_macro = '_GLIBCXX_USE_CXX11_ABI' for cxx11_abi in ['0', '1']: try: lib_file = test_compile(build_ext, 'test_tensorflow_abi', macros=[(cxx11_abi_macro, cxx11_abi)], include_dirs=include_dirs, library_dirs=lib_dirs, libraries=libs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <string> #include "tensorflow/core/framework/op.h" #include "tensorflow/core/framework/op_kernel.h" #include "tensorflow/core/framework/shape_inference.h" void test() { auto ignore = tensorflow::strings::StrCat("a", "b"); } ''')) from tensorflow.python.framework import load_library load_library.load_op_library(lib_file) return cxx11_abi_macro, cxx11_abi except (CompileError, LinkError): last_err = 'Unable to determine CXX11 ABI to use with TensorFlow (see error above).' except Exception: last_err = 'Unable to determine CXX11 ABI to use with TensorFlow. ' \ 'Last error:\n\n%s' % traceback.format_exc() raise DistutilsPlatformError(last_err) def get_tf_flags(build_ext, cpp_flags): import tensorflow as tf try: return tf.sysconfig.get_compile_flags(), tf.sysconfig.get_link_flags() except AttributeError: tf_include_dirs = get_tf_include_dirs() tf_lib_dirs = get_tf_lib_dirs() tf_libs = get_tf_libs(build_ext, tf_lib_dirs, cpp_flags) tf_abi = get_tf_abi(build_ext, tf_include_dirs, tf_lib_dirs, tf_libs, cpp_flags) compile_flags = [] for include_dir in tf_include_dirs: compile_flags.append('-I%s' % include_dir) if tf_abi: compile_flags.append('-D%s=%s' % tf_abi) link_flags = [] for lib_dir in tf_lib_dirs: link_flags.append('-L%s' % lib_dir) for lib in tf_libs: link_flags.append('-l%s' % lib) return compile_flags, link_flags def get_mpi_flags(): show_command = os.environ.get('HOROVOD_MPICXX_SHOW', 'mpicxx -show') try: mpi_show_output = subprocess.check_output( shlex.split(show_command), universal_newlines=True).strip() mpi_show_args = shlex.split(mpi_show_output) if not mpi_show_args[0].startswith('-'): mpi_show_args = mpi_show_args[1:] return ' '.join(['"' + arg.replace('"', '"\'"\'"') + '"' for arg in mpi_show_args]) except Exception: raise DistutilsPlatformError( '%s failed (see error below), is MPI in $PATH?\n' 'Note: If your version of MPI has a custom command to show compilation flags, ' 'please specify it with the HOROVOD_MPICXX_SHOW environment variable.\n\n' '%s' % (show_command, traceback.format_exc())) def test_compile(build_ext, name, code, libraries=None, include_dirs=None, library_dirs=None, macros=None, extra_preargs=None): test_compile_dir = os.path.join(build_ext.build_temp, 'test_compile') if not os.path.exists(test_compile_dir): os.makedirs(test_compile_dir) source_file = os.path.join(test_compile_dir, '%s.cc' % name) with open(source_file, 'w') as f: f.write(code) compiler = build_ext.compiler [object_file] = compiler.object_filenames([source_file]) shared_object_file = compiler.shared_object_filename( name, output_dir=test_compile_dir) compiler.compile([source_file], extra_preargs=extra_preargs, include_dirs=include_dirs, macros=macros) compiler.link_shared_object( [object_file], shared_object_file, libraries=libraries, library_dirs=library_dirs) return shared_object_file def get_cuda_dirs(build_ext, cpp_flags): cuda_include_dirs = [] cuda_lib_dirs = [] cuda_home = os.environ.get('HOROVOD_CUDA_HOME') if cuda_home: cuda_include_dirs += ['%s/include' % cuda_home] cuda_lib_dirs += ['%s/lib' % cuda_home, '%s/lib64' % cuda_home] cuda_include = os.environ.get('HOROVOD_CUDA_INCLUDE') if cuda_include: cuda_include_dirs += [cuda_include] cuda_lib = os.environ.get('HOROVOD_CUDA_LIB') if cuda_lib: cuda_lib_dirs += [cuda_lib] if not cuda_include_dirs and not cuda_lib_dirs: cuda_include_dirs += ['/usr/local/cuda/include'] cuda_lib_dirs += ['/usr/local/cuda/lib', '/usr/local/cuda/lib64'] try: test_compile(build_ext, 'test_cuda', libraries=['cudart'], include_dirs=cuda_include_dirs, library_dirs=cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <cuda_runtime.h> void test() { cudaSetDevice(0); } ''')) except (CompileError, LinkError): raise DistutilsPlatformError( 'CUDA library was not found (see error above).\n' 'Please specify correct CUDA location with the HOROVOD_CUDA_HOME ' 'environment variable or combination of HOROVOD_CUDA_INCLUDE and ' 'HOROVOD_CUDA_LIB environment variables.\n\n' 'HOROVOD_CUDA_HOME - path where CUDA include and lib directories can be found\n' 'HOROVOD_CUDA_INCLUDE - path to CUDA include directory\n' 'HOROVOD_CUDA_LIB - path to CUDA lib directory') return cuda_include_dirs, cuda_lib_dirs def get_nccl_vals(build_ext, cuda_include_dirs, cuda_lib_dirs, cpp_flags): nccl_include_dirs = [] nccl_lib_dirs = [] nccl_libs = [] nccl_home = os.environ.get('HOROVOD_NCCL_HOME') if nccl_home: nccl_include_dirs += ['%s/include' % nccl_home] nccl_lib_dirs += ['%s/lib' % nccl_home, '%s/lib64' % nccl_home] nccl_include_dir = os.environ.get('HOROVOD_NCCL_INCLUDE') if nccl_include_dir: nccl_include_dirs += [nccl_include_dir] nccl_lib_dir = os.environ.get('HOROVOD_NCCL_LIB') if nccl_lib_dir: nccl_lib_dirs += [nccl_lib_dir] nccl_link_mode = os.environ.get('HOROVOD_NCCL_LINK', 'STATIC') if nccl_link_mode.upper() == 'SHARED': nccl_libs += ['nccl'] else: nccl_libs += ['nccl_static'] try: test_compile(build_ext, 'test_nccl', libraries=nccl_libs, include_dirs=nccl_include_dirs + cuda_include_dirs, library_dirs=nccl_lib_dirs + cuda_lib_dirs, extra_preargs=cpp_flags, code=textwrap.dedent('''\ #include <nccl.h> #if NCCL_MAJOR < 2 #error Horovod requires NCCL 2.0 or later version, please upgrade. #endif void test() { ncclUniqueId nccl_id; ncclGetUniqueId(&nccl_id); } ''')) except (CompileError, LinkError): raise DistutilsPlatformError( 'NCCL 2.0 library or its later version was not found (see error above).\n' 'Please specify correct NCCL location with the HOROVOD_NCCL_HOME ' 'environment variable or combination of HOROVOD_NCCL_INCLUDE and ' 'HOROVOD_NCCL_LIB environment variables.\n\n' 'HOROVOD_NCCL_HOME - path where NCCL include and lib directories can be found\n' 'HOROVOD_NCCL_INCLUDE - path to NCCL include directory\n' 'HOROVOD_NCCL_LIB - path to NCCL lib directory') return nccl_include_dirs, nccl_lib_dirs, nccl_libs def get_ddl_dirs(): ddl_home = '/opt/DL/ddl' ddl_include_dir = '%s/include' % ddl_home ddl_lib_dir = '%s/lib' % ddl_home if not os.path.exists(ddl_lib_dir): raise DistutilsPlatformError('DDL lib was not found. Please, make sure \'ddl\' package is installed.') if not os.path.exists(ddl_include_dir): raise DistutilsPlatformError('DDL include was not found. Please, make sure \'ddl-dev\' package is installed.') return [ddl_include_dir], [ddl_lib_dir] def get_common_options(build_ext): cpp_flags = get_cpp_flags(build_ext) mpi_flags = get_mpi_flags() gpu_allreduce = os.environ.get('HOROVOD_GPU_ALLREDUCE') if gpu_allreduce and gpu_allreduce != 'MPI' and gpu_allreduce != 'NCCL' and \ gpu_allreduce != 'DDL': raise DistutilsError('HOROVOD_GPU_ALLREDUCE=%s is invalid, supported ' 'values are "", "MPI", "NCCL", "DDL".' % gpu_allreduce) gpu_allgather = os.environ.get('HOROVOD_GPU_ALLGATHER') if gpu_allgather and gpu_allgather != 'MPI': raise DistutilsError('HOROVOD_GPU_ALLGATHER=%s is invalid, supported ' 'values are "", "MPI".' % gpu_allgather) gpu_broadcast = os.environ.get('HOROVOD_GPU_BROADCAST') if gpu_broadcast and gpu_broadcast != 'MPI': raise DistutilsError('HOROVOD_GPU_BROADCAST=%s is invalid, supported ' 'values are "", "MPI".' % gpu_broadcast) if gpu_allreduce or gpu_allgather or gpu_broadcast: have_cuda = True cuda_include_dirs, cuda_lib_dirs = get_cuda_dirs(build_ext, cpp_flags) else: have_cuda = False cuda_include_dirs = cuda_lib_dirs = [] if gpu_allreduce == 'NCCL': have_nccl = True nccl_include_dirs, nccl_lib_dirs, nccl_libs = get_nccl_vals( build_ext, cuda_include_dirs, cuda_lib_dirs, cpp_flags) else: have_nccl = False nccl_include_dirs = nccl_lib_dirs = nccl_libs = [] if gpu_allreduce == 'DDL': have_ddl = True ddl_include_dirs, ddl_lib_dirs = get_ddl_dirs() else: have_ddl = False ddl_include_dirs = ddl_lib_dirs = [] MACROS = [] INCLUDES = [] SOURCES = [] COMPILE_FLAGS = cpp_flags + shlex.split(mpi_flags) LINK_FLAGS = shlex.split(mpi_flags) LIBRARY_DIRS = [] LIBRARIES = [] if have_cuda: MACROS += [('HAVE_CUDA', '1')] INCLUDES += cuda_include_dirs LIBRARY_DIRS += cuda_lib_dirs LIBRARIES += ['cudart'] if have_nccl: MACROS += [('HAVE_NCCL', '1')] INCLUDES += nccl_include_dirs LINK_FLAGS += ['-Wl,--version-script=hide_nccl.lds'] LIBRARY_DIRS += nccl_lib_dirs LIBRARIES += nccl_libs if have_ddl: MACROS += [('HAVE_DDL', '1')] INCLUDES += ddl_include_dirs LIBRARY_DIRS += ddl_lib_dirs LIBRARIES += ['ddl', 'ddl_pack'] if gpu_allreduce: MACROS += [('HOROVOD_GPU_ALLREDUCE', "'%s'" % gpu_allreduce[0])] if gpu_allgather: MACROS += [('HOROVOD_GPU_ALLGATHER', "'%s'" % gpu_allgather[0])] if gpu_broadcast: MACROS += [('HOROVOD_GPU_BROADCAST', "'%s'" % gpu_broadcast[0])] return dict(MACROS=MACROS, INCLUDES=INCLUDES, SOURCES=SOURCES, COMPILE_FLAGS=COMPILE_FLAGS, LINK_FLAGS=LINK_FLAGS, LIBRARY_DIRS=LIBRARY_DIRS, LIBRARIES=LIBRARIES) def build_common_extension(build_ext, options, abi_compile_flags): common_mpi_lib.define_macros = options['MACROS'] common_mpi_lib.include_dirs = options['INCLUDES'] common_mpi_lib.sources = options['SOURCES'] + ['horovod/common/common.cc', 'horovod/common/mpi_message.cc', 'horovod/common/operations.cc', 'horovod/common/timeline.cc'] common_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \ abi_compile_flags common_mpi_lib.extra_link_args = options['LINK_FLAGS'] common_mpi_lib.library_dirs = options['LIBRARY_DIRS'] common_mpi_lib.libraries = options['LIBRARIES'] build_ext.build_extension(common_mpi_lib) def build_tf_extension(build_ext, options): check_tf_version() tf_compile_flags, tf_link_flags = get_tf_flags( build_ext, options['COMPILE_FLAGS']) tensorflow_mpi_lib.define_macros = options['MACROS'] tensorflow_mpi_lib.include_dirs = options['INCLUDES'] tensorflow_mpi_lib.sources = options['SOURCES'] + \ ['horovod/tensorflow/mpi_ops.cc'] tensorflow_mpi_lib.extra_compile_args = options['COMPILE_FLAGS'] + \ tf_compile_flags tensorflow_mpi_lib.extra_link_args = options['LINK_FLAGS'] + tf_link_flags tensorflow_mpi_lib.library_dirs = options['LIBRARY_DIRS'] tensorflow_mpi_lib.libraries = options['LIBRARIES'] build_ext.build_extension(tensorflow_mpi_lib) return [flag for flag in tf_compile_flags if '_GLIBCXX_USE_CXX11_ABI' in flag] def dummy_import_torch(): try: import torch except: pass def check_torch_import(): try: import torch except ImportError: raise DistutilsPlatformError( 'import torch failed, is it installed?\n\n%s' % traceback.format_exc()) def is_torch_cuda(): try: from torch.utils.ffi import create_extension cuda_test_ext = create_extension( name='horovod.torch.test_cuda', headers=['horovod/torch/dummy.h'], sources=[], with_cuda=True, extra_compile_args=['-std=c11', '-fPIC', '-O2'] ) cuda_test_ext.build() return True except: print('INFO: Above error indicates that this PyTorch installation does not support CUDA.') return False def check_macro(macros, key): return any(k == key and v for k, v in macros) def set_macro(macros, key, new_value): if any(k == key for k, _ in macros): return [(k, new_value if k == key else v) for k, v in macros] else: return macros + [(key, new_value)] class protect_files(object): def __init__(self, *files): self.files = files def __enter__(self): for file in self.files: os.rename(file, file + '.protected') def __exit__(self, type, value, traceback): for file in self.files: os.rename(file + '.protected', file) def build_torch_extension(build_ext, options, abi_compile_flags): check_torch_import() have_cuda = is_torch_cuda() if not have_cuda and check_macro(options['MACROS'], 'HAVE_CUDA'): raise DistutilsPlatformError( 'Horovod build with GPU support was requested, but this PyTorch ' 'installation does not support CUDA.') updated_macros = set_macro( options['MACROS'], 'HAVE_CUDA', str(int(have_cuda))) with protect_files('horovod/torch/mpi_lib/__init__.py', 'horovod/torch/mpi_lib_impl/__init__.py'): from torch.utils.ffi import create_extension ffi_iface = create_extension( name='horovod.torch.mpi_lib', headers=['horovod/torch/interface.h'] + (['horovod/torch/interface_cuda.h'] if have_cuda else []), with_cuda=have_cuda, language='c', package=True, sources=[], extra_compile_args=['-std=c11', '-fPIC', '-O2'] ) ffi_impl = create_extension( name='horovod.torch.mpi_lib_impl', headers=[], with_cuda=have_cuda, language='c++', package=True, source_extension='.cc', define_macros=updated_macros, include_dirs=options['INCLUDES'], sources=options['SOURCES'] + ['horovod/torch/mpi_ops.cc', 'horovod/torch/handle_manager.cc', 'horovod/torch/ready_event.cc', 'horovod/torch/tensor_util.cc', 'horovod/torch/cuda_util.cc', 'horovod/torch/adapter.cc'], extra_compile_args=options['COMPILE_FLAGS'] + abi_compile_flags, extra_link_args=options['LINK_FLAGS'], library_dirs=options['LIBRARY_DIRS'], libraries=options['LIBRARIES'] ) for ffi, setuptools_ext in [(ffi_iface, torch_mpi_lib), (ffi_impl, torch_mpi_lib_impl)]: ffi_ext = ffi.distutils_extension() for k, v in ffi_ext.__dict__.items(): setuptools_ext.__dict__[k] = v build_ext.build_extension(setuptools_ext) class custom_build_ext(build_ext): def build_extensions(self): options = get_common_options(self) abi_compile_flags = [] built_plugins = [] dummy_import_torch() if not os.environ.get('HOROVOD_WITHOUT_TENSORFLOW'): try: abi_compile_flags = build_tf_extension(self, options) built_plugins.append(True) except: if not os.environ.get('HOROVOD_WITH_TENSORFLOW'): print('INFO: Unable to build TensorFlow plugin, will skip it.\n\n' '%s' % traceback.format_exc(), file=sys.stderr) built_plugins.append(False) else: raise if not os.environ.get('HOROVOD_WITHOUT_PYTORCH'): try: build_torch_extension(self, options, abi_compile_flags) built_plugins.append(True) except: if not os.environ.get('HOROVOD_WITH_PYTORCH'): print('INFO: Unable to build PyTorch plugin, will skip it.\n\n' '%s' % traceback.format_exc(), file=sys.stderr) built_plugins.append(False) else: raise if not built_plugins: raise DistutilsError( 'Both TensorFlow and PyTorch plugins were excluded from build. Aborting.') if not any(built_plugins): raise DistutilsError( 'Neither TensorFlow nor PyTorch plugins were built. See errors above.') build_common_extension(self, options, abi_compile_flags) setup(name='horovod', version=__version__, packages=find_packages(), description='Distributed training framework for TensorFlow, Keras, and PyTorch.', author='Uber Technologies, Inc.', long_description=textwrap.dedent('''\ Horovod is a distributed training framework for TensorFlow, Keras, and PyTorch. The goal of Horovod is to make distributed Deep Learning fast and easy to use.'''), url='https://github.com/uber/horovod', classifiers=[ 'License :: OSI Approved :: Apache Software License' ], ext_modules=[common_mpi_lib, tensorflow_mpi_lib, torch_mpi_lib, torch_mpi_lib_impl], cmdclass={'build_ext': custom_build_ext}, setup_requires=['cffi>=1.4.0'] if is_build_action() else [], install_requires=['cffi>=1.4.0'], zip_safe=False)

true

f73d10c8ba87f317b58df20c51d2dd5afc1f1151

220

py

Python

niyopolymers/patches/import_price_list.py

venku31/niyopolymers

f150ee591d2ea10720d8e98c5f6abf7c6e2edb2d

[ "MIT" ]

null

niyopolymers/patches/import_price_list.py

venku31/niyopolymers

f150ee591d2ea10720d8e98c5f6abf7c6e2edb2d

[ "MIT" ]

null

niyopolymers/patches/import_price_list.py

venku31/niyopolymers

f150ee591d2ea10720d8e98c5f6abf7c6e2edb2d

[ "MIT" ]

null

import frappe def execute(): path = frappe.get_app_path("niyopolymers", "patches", "imports", "price_list.csv") frappe.core.doctype.data_import.data_import.import_file("Price List", path, "Insert", console=True)

44

103

0.740909

import frappe def execute(): path = frappe.get_app_path("niyopolymers", "patches", "imports", "price_list.csv") frappe.core.doctype.data_import.data_import.import_file("Price List", path, "Insert", console=True)

true

f73d10fe1ebd52dc14f7892bc7bc987383890531

3,140

py

Python

chj/app/ObjectSize.py

kestreltechnology/CodeHawk-Java

7c218f67161bbe1a8aa2cc70f16d28e032957464

[ "MIT" ]

null

chj/app/ObjectSize.py

kestreltechnology/CodeHawk-Java

7c218f67161bbe1a8aa2cc70f16d28e032957464

[ "MIT" ]

1

2020-08-01T04:20:13.000Z

chj/app/ObjectSize.py

kestreltechnology/CodeHawk-Java

7c218f67161bbe1a8aa2cc70f16d28e032957464

[ "MIT" ]

3

2020-07-25T22:55:03.000Z

2021-10-20T08:18:39.000Z

# ------------------------------------------------------------------------------ # CodeHawk Java Analyzer # Author: Henny Sipma # ------------------------------------------------------------------------------ # The MIT License (MIT) # # Copyright (c) 2016-2020 Kestrel Technology LLC # Copyright (c) 2021 Andrew McGraw # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ------------------------------------------------------------------------------ from typing import List, TYPE_CHECKING if TYPE_CHECKING: from chj.app.JavaClass import JavaClass from chj.index.FieldSignature import FieldSignature from chj.index.FieldSignature import ClassFieldSignature from chj.index.JObjectTypes import JObjectTypeBase class ObjectSize(object): def __init__(self, jclass: "JavaClass"): self.jclass = jclass # JavaClass self.jd = jclass.jd # DataDictionary self.scalar = 0 self.objects: List["JObjectTypeBase"] = [] self.arrays: List["FieldSignature"] = [] # [ FieldSignature ] def add_scalar(self, s: int) -> None: self.scalar += s def add_object(self, cnix: "JObjectTypeBase") -> None: self.objects.append(cnix) def add_array(self, arr: "FieldSignature") -> None: self.arrays.append(arr) def add_field(self, fsig: "FieldSignature") -> None: self.add_scalar(fsig.get_scalar_size()) if fsig.is_object(): self.add_object(fsig.get_object_type()) if fsig.is_array(): self.add_array(fsig) def add_object_size(self, other: "ObjectSize") -> None: self.scalar += other.scalar self.objects.extend(other.objects) self.arrays.extend(other.arrays) def to_string(self) -> str: lines = [] lines.append(' scalar size: ' + str(self.scalar)) if len(self.objects) > 0: pObjs = ', '.join([str(x) for x in self.objects]) lines.append(' objects : ' + pObjs) if len(self.arrays) > 0: lines.append(' arrays : ' + str(len(self.arrays))) return '\n'.join(lines)

42.432432

80

0.626433

from typing import List, TYPE_CHECKING if TYPE_CHECKING: from chj.app.JavaClass import JavaClass from chj.index.FieldSignature import FieldSignature from chj.index.FieldSignature import ClassFieldSignature from chj.index.JObjectTypes import JObjectTypeBase class ObjectSize(object): def __init__(self, jclass: "JavaClass"): self.jclass = jclass self.jd = jclass.jd self.scalar = 0 self.objects: List["JObjectTypeBase"] = [] self.arrays: List["FieldSignature"] = [] def add_scalar(self, s: int) -> None: self.scalar += s def add_object(self, cnix: "JObjectTypeBase") -> None: self.objects.append(cnix) def add_array(self, arr: "FieldSignature") -> None: self.arrays.append(arr) def add_field(self, fsig: "FieldSignature") -> None: self.add_scalar(fsig.get_scalar_size()) if fsig.is_object(): self.add_object(fsig.get_object_type()) if fsig.is_array(): self.add_array(fsig) def add_object_size(self, other: "ObjectSize") -> None: self.scalar += other.scalar self.objects.extend(other.objects) self.arrays.extend(other.arrays) def to_string(self) -> str: lines = [] lines.append(' scalar size: ' + str(self.scalar)) if len(self.objects) > 0: pObjs = ', '.join([str(x) for x in self.objects]) lines.append(' objects : ' + pObjs) if len(self.arrays) > 0: lines.append(' arrays : ' + str(len(self.arrays))) return '\n'.join(lines)

true

f73d11124216d1c078e19899f86739d1c526bec5

2,307

py

Python

Protheus_WebApp/Modules/SIGAJURI/JURA108TestCase.py

HelenaAdrignoli/tir-script-samples

bb4f4ab3a49f723216c93f66a4395e5aa328b846

[ "MIT" ]

1

2021-12-07T18:16:27.000Z

Modules/SIGAJURI/JURA108TestCase.py

ccpn1988/TIR

fede6db280b35564b73e14a4588451dd88288bab

[ "MIT" ]

null

Modules/SIGAJURI/JURA108TestCase.py

ccpn1988/TIR

fede6db280b35564b73e14a4588451dd88288bab

[ "MIT" ]

null

from tir import Webapp import unittest class JURA108(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.SetTIRConfig(config_name="user", value="daniel.frodrigues") inst.oHelper.SetTIRConfig(config_name="password", value="1") inst.oHelper.Setup('SIGAJURI','','T1','D MG 01 ','76') inst.oHelper.Program('JURA106') inst.oHelper.AddParameter("MV_JHBPESF", "", "1", "", "") inst.oHelper.SetParameters() def test_JURA108_CT001(self): self.oHelper.SetValue("cValor","Contencioso - Fup",name_attr=True) self.oHelper.WaitFieldValue("NTA_CTIPO","") self.oHelper.SetValue('NTA_CTIPO', '00001') self.oHelper.ClickLabel('Pesquisar') self.oHelper.ClickGridCell("Código Assunto Jurídico",row=1) self.oHelper.ClickLabel('Exportação Personalizada') self.oHelper.SetValue("cCmbTabela","000011 - Acordos (NYP001)",name_attr=True) self.oHelper.SetButton("Add. Todos >>") self.oHelper.SetButton("Sim") self.oHelper.SetButton("<< Rem. Todos") self.oHelper.SetButton("Sim") self.oHelper.SetValue("cCmbTabela","000005 - Follow-ups (NTA001)",name_attr=True) self.oHelper.SetValue("cGetSearch","HORA",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetValue("cGetSearch","DT FOLLOW-UP",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetValue("cGetSearch","NOME DO PARTICI",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetButton("Mover para Baixo") self.oHelper.SetButton("Mover para Cima") self.oHelper.SetValue("cGetRename","Hora F-Up",name_attr=True) self.oHelper.SetButton("Renomear") self.oHelper.SetButton("<< Remove") self.oHelper.SetButton("Filt. Agrup.") self.oHelper.SetButton("Ok") self.oHelper.SetButton("Exportar") self.oHelper.SetValue("cGetNewConfig","FOLLOW UP - MULTIPLOS RESPONSAVEIS",name_attr=True) self.oHelper.SetButton("Salvar Como") self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Fechar") self.oHelper.SetButton("Sair") self.oHelper.ClickLabel("Sair") self.oHelper.AssertTrue() @classmethod def tearDownClass(inst): inst.oHelper.TearDown() if __name__ == '__main__': unittest.main()

38.45

92

0.739922

from tir import Webapp import unittest class JURA108(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.SetTIRConfig(config_name="user", value="daniel.frodrigues") inst.oHelper.SetTIRConfig(config_name="password", value="1") inst.oHelper.Setup('SIGAJURI','','T1','D MG 01 ','76') inst.oHelper.Program('JURA106') inst.oHelper.AddParameter("MV_JHBPESF", "", "1", "", "") inst.oHelper.SetParameters() def test_JURA108_CT001(self): self.oHelper.SetValue("cValor","Contencioso - Fup",name_attr=True) self.oHelper.WaitFieldValue("NTA_CTIPO","") self.oHelper.SetValue('NTA_CTIPO', '00001') self.oHelper.ClickLabel('Pesquisar') self.oHelper.ClickGridCell("Código Assunto Jurídico",row=1) self.oHelper.ClickLabel('Exportação Personalizada') self.oHelper.SetValue("cCmbTabela","000011 - Acordos (NYP001)",name_attr=True) self.oHelper.SetButton("Add. Todos >>") self.oHelper.SetButton("Sim") self.oHelper.SetButton("<< Rem. Todos") self.oHelper.SetButton("Sim") self.oHelper.SetValue("cCmbTabela","000005 - Follow-ups (NTA001)",name_attr=True) self.oHelper.SetValue("cGetSearch","HORA",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetValue("cGetSearch","DT FOLLOW-UP",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetValue("cGetSearch","NOME DO PARTICI",name_attr=True) self.oHelper.SetButton("Pesquisar") self.oHelper.SetButton("Adicionar >>") self.oHelper.SetButton("Mover para Baixo") self.oHelper.SetButton("Mover para Cima") self.oHelper.SetValue("cGetRename","Hora F-Up",name_attr=True) self.oHelper.SetButton("Renomear") self.oHelper.SetButton("<< Remove") self.oHelper.SetButton("Filt. Agrup.") self.oHelper.SetButton("Ok") self.oHelper.SetButton("Exportar") self.oHelper.SetValue("cGetNewConfig","FOLLOW UP - MULTIPLOS RESPONSAVEIS",name_attr=True) self.oHelper.SetButton("Salvar Como") self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Fechar") self.oHelper.SetButton("Sair") self.oHelper.ClickLabel("Sair") self.oHelper.AssertTrue() @classmethod def tearDownClass(inst): inst.oHelper.TearDown() if __name__ == '__main__': unittest.main()

true

f73d121b6b27b06f03eb59a172064c7c0937ce64

6,791

py

Python

lib/moerdergraphall.py

orithena/moerderspiel

7a11598cd80f26824376207805d3a937b9c1d831

[ "MIT" ]

16

2015-09-30T13:45:07.000Z

2022-01-31T16:45:50.000Z

lib/moerdergraphall.py

orithena/moerderspiel

7a11598cd80f26824376207805d3a937b9c1d831

[ "MIT" ]

5

2015-09-16T13:44:08.000Z

2018-02-06T11:24:59.000Z

lib/moerdergraphall.py

orithena/moerderspiel

7a11598cd80f26824376207805d3a937b9c1d831

[ "MIT" ]

4

2015-05-28T17:39:55.000Z

2022-01-29T01:27:42.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- import sys import os.path import yapgvb as graph from yapgvb import RenderingContext, CLIRenderError import textwrap import math import colorsys import pickle from moerderklassen import * from utils import colorgen import utils class MyRenderingContext(RenderingContext): """ Used only if yapgvb does not use libboost. W/o libboost, this class is used to modify the parameters passed to graphviz/dot. """ def render(self, graph, output_type, destfile): from yapgvb import tempfile if isinstance(destfile,file): filename = destfile.name destfile.close() elif isinstance(destfile,str): filename = destfile else: raise Exception temp = tempfile('.dot') graph._write_dot(temp) cmd = "%s -Gsize=100,50 -T%s -o%s %s" % (self._engine_executable, output_type, filename, temp) ier = os.system(cmd) if ier: #check_graphviz_working() raise CLIRenderError("Error code %s rendering %s" % (ier, temp)) #os.remove(temp) def moerdergraphall(game, filename, alledges=False, nodefontsize=8.0, edgefontsize=8.0, rounds=None): if rounds is None: rounds = game.rounds.values() elif type(rounds) is not list: rounds = [rounds] # G is the main Graph object G = graph.Digraph("Moerder") G.model = 'subset' G.overlap = 'compress' G.splines = True G.normalize = True G.packmode = 'graph' G.rankdir = 'LR' # a dict for indexing all nodes nodes = {} # we need to keep some of the nodes in mind prev_node = first_node = node = None # make a copy of the participant list so we don't jumble up the original list participants = sorted(rounds, key=lambda x: len(x.participants))[-1].participants[:] gmnode = G.add_node('Game Master') gmnode.label = 'Game Master' gmnode.fontsize = nodefontsize gmnode.fontname = 'arial' gmnode.color = 'gray' gmnode.fontcolor = 'gray' gmnode.style = 'rounded' hnode = inode = G.add_node('invisible') inode.style = 'invisible' inode.pos = (0.0, 0.0) if len(participants) > 120: sorrynode = G.add_node(u'Sorry, zu viele Nodes in diesem Graph...') sorrynode.label = u'Sorry, zu viele Nodes in diesem Graph...' sorrynode.style = 'rounded,filled' sorrynode.fontsize = nodefontsize sorrynode.style = 'rounded,filled' sorrynode.penwidth = 2 sorrynode.color = '#00003380' sorrynode.fillcolor = '#FFFFFF00' sorrynode.margin = 0.01 # do the layout math and save to file if graph.__dict__.has_key('_yapgvb_py'): # if yapgvb works in python-only mode rc = MyRenderingContext() G.layout(graph.engines.dot, rendering_context=rc) G.render(filename, rendering_context=rc) else: # if yapgvb has libboost support compiled in G.layout(graph.engines.dot) G.render(filename) return massmurderers = game.getMassMurderer() massmurdererlist = [ player.public_id for player in massmurderers['killers'] ] if len(massmurderers) > 0 else [] if not alledges: # if not admin/gameover view: sort nodes prior to adding them to the graph participants.sort(key = lambda p: p.player.name + p.player.info) nodecount = len(participants) nodesperline = math.trunc(math.sqrt(nodecount)) # for each participant, add a node to the graph bearing his name nodenumber = 0 for participant in participants: nodenumber += 1 name = participant.player.name if len(participant.player.info) > 0: name += "\\n" + participant.player.info name = utils.dotescape(name) node = G.add_node(participant.player.public_id) node.label = name.encode('utf-8') node.fontsize = nodefontsize node.style = 'rounded,filled' node.penwidth = 2 node.color = '#00003380' node.fillcolor = '#FFFFFF00' node.margin = 0.01 nodeweight = game.getDeathsCount(participant) + game.getKillsCount(participant) #node.group = str(nodeweight) node.pos = ( nodenumber % nodesperline, nodenumber / nodesperline) if nodeweight == 0: iedge = G.add_edge(inode, node) iedge.style = 'invisible' iedge.arrowhead = 'none' iedge.weight = 0.1 node.pos = (0.0, 0.0) #iedge.constraint = False if not prev_node: first_node = node # put all the nodes into a dict so we could find them fast by the player's id (needed later) nodes[participant.player.public_id] = node prev_node = node node.fontname = 'arial' # kicked participants are gray if participant.killed() and participant.killedby.killer is None: #node.color = '#FF6666FF' #node.fontcolor = '#33333388' #node.fillcolor = '#66666622' node.style += ',dashed' # mass murderers are black if participant.player.public_id in massmurdererlist: node.color = 'black' node.fillcolor = 'black' node.fontcolor = 'white' # dead participants are red if (game.getDeathsCount(participant) >= len(game.rounds)): node.color = '#FF0000FF' node.penwidth = 2 #node.fontcolor = '#FFFFFFFF' #node.fillcolor = '#FF0000FF' colorgenerator = colorgen(0.86) for round in game.rounds.values(): edgecolor = next(colorgenerator) if round not in rounds: continue for participant in round.participants: if alledges or participant.killed(): edge = G.add_edge(nodes[participant.getInitialKiller().player.public_id], nodes[participant.player.public_id]) edge.color = edgecolor edge.style = 'dashed' edge.penwidth = 2 edge.weight = 6.0 #edge.constraint = False if participant.killed(): if not participant.killedby.killer is None: # normal case edge = G.add_edge(nodes[participant.killedby.killer.player.public_id], nodes[participant.player.public_id]) else: # special case of a game master kill edge = G.add_edge(gmnode, nodes[participant.player.public_id]) edge.color = edgecolor edge.fontcolor = 'red' edge.style = 'solid' edge.penwidth = 4 edge.weight = 10.0 # set edge label to kill description label = utils.dateformat(participant.killedby.date) + ":\\n" maxlinelen = max(24, math.trunc(math.ceil(math.sqrt(6 * len(participant.killedby.reason))))) label += "\\n".join(textwrap.wrap(participant.killedby.reason, maxlinelen)).replace('"', "'") edge.label = ''.join([ c for c in label.encode('utf-8') if ord(c) < 2048]) edge.fontsize = edgefontsize edge.fontname = 'arial' # do the layout math and save to file if graph.__dict__.has_key('_yapgvb_py'): # if yapgvb works in python-only mode rc = MyRenderingContext() G.layout(graph.engines.dot, rendering_context=rc) G.render(filename, rendering_context=rc) else: # if yapgvb has libboost support compiled in G.layout(graph.engines.dot) G.render(filename) def _loadgame(gamefile): input = open(gamefile, 'rd') ret = pickle.load(input) input.close() return ret if __name__ == "__main__": import sys game = _loadgame(sys.argv[1]) moerdergraphall(game, sys.argv[2], alledges=True)

33.453202

114

0.709616

import sys import os.path import yapgvb as graph from yapgvb import RenderingContext, CLIRenderError import textwrap import math import colorsys import pickle from moerderklassen import * from utils import colorgen import utils class MyRenderingContext(RenderingContext): def render(self, graph, output_type, destfile): from yapgvb import tempfile if isinstance(destfile,file): filename = destfile.name destfile.close() elif isinstance(destfile,str): filename = destfile else: raise Exception temp = tempfile('.dot') graph._write_dot(temp) cmd = "%s -Gsize=100,50 -T%s -o%s %s" % (self._engine_executable, output_type, filename, temp) ier = os.system(cmd) if ier: raise CLIRenderError("Error code %s rendering %s" % (ier, temp)) def moerdergraphall(game, filename, alledges=False, nodefontsize=8.0, edgefontsize=8.0, rounds=None): if rounds is None: rounds = game.rounds.values() elif type(rounds) is not list: rounds = [rounds] G = graph.Digraph("Moerder") G.model = 'subset' G.overlap = 'compress' G.splines = True G.normalize = True G.packmode = 'graph' G.rankdir = 'LR' nodes = {} prev_node = first_node = node = None participants = sorted(rounds, key=lambda x: len(x.participants))[-1].participants[:] gmnode = G.add_node('Game Master') gmnode.label = 'Game Master' gmnode.fontsize = nodefontsize gmnode.fontname = 'arial' gmnode.color = 'gray' gmnode.fontcolor = 'gray' gmnode.style = 'rounded' hnode = inode = G.add_node('invisible') inode.style = 'invisible' inode.pos = (0.0, 0.0) if len(participants) > 120: sorrynode = G.add_node(u'Sorry, zu viele Nodes in diesem Graph...') sorrynode.label = u'Sorry, zu viele Nodes in diesem Graph...' sorrynode.style = 'rounded,filled' sorrynode.fontsize = nodefontsize sorrynode.style = 'rounded,filled' sorrynode.penwidth = 2 sorrynode.color = ' sorrynode.fillcolor = ' sorrynode.margin = 0.01 # do the layout math and save to file if graph.__dict__.has_key('_yapgvb_py'): # if yapgvb works in python-only mode rc = MyRenderingContext() G.layout(graph.engines.dot, rendering_context=rc) G.render(filename, rendering_context=rc) else: # if yapgvb has libboost support compiled in G.layout(graph.engines.dot) G.render(filename) return massmurderers = game.getMassMurderer() massmurdererlist = [ player.public_id for player in massmurderers['killers'] ] if len(massmurderers) > 0 else [] if not alledges: # if not admin/gameover view: sort nodes prior to adding them to the graph participants.sort(key = lambda p: p.player.name + p.player.info) nodecount = len(participants) nodesperline = math.trunc(math.sqrt(nodecount)) # for each participant, add a node to the graph bearing his name nodenumber = 0 for participant in participants: nodenumber += 1 name = participant.player.name if len(participant.player.info) > 0: name += "\\n" + participant.player.info name = utils.dotescape(name) node = G.add_node(participant.player.public_id) node.label = name.encode('utf-8') node.fontsize = nodefontsize node.style = 'rounded,filled' node.penwidth = 2 node.color = ' node.fillcolor = ' node.margin = 0.01 nodeweight = game.getDeathsCount(participant) + game.getKillsCount(participant) #node.group = str(nodeweight) node.pos = ( nodenumber % nodesperline, nodenumber / nodesperline) if nodeweight == 0: iedge = G.add_edge(inode, node) iedge.style = 'invisible' iedge.arrowhead = 'none' iedge.weight = 0.1 node.pos = (0.0, 0.0) #iedge.constraint = False if not prev_node: first_node = node # put all the nodes into a dict so we could find them fast by the player's id (needed later) nodes[participant.player.public_id] = node prev_node = node node.fontname = 'arial' if participant.killed() and participant.killedby.killer is None: node.style += ',dashed' if participant.player.public_id in massmurdererlist: node.color = 'black' node.fillcolor = 'black' node.fontcolor = 'white' if (game.getDeathsCount(participant) >= len(game.rounds)): node.color = '#FF0000FF' node.penwidth = 2 colorgenerator = colorgen(0.86) for round in game.rounds.values(): edgecolor = next(colorgenerator) if round not in rounds: continue for participant in round.participants: if alledges or participant.killed(): edge = G.add_edge(nodes[participant.getInitialKiller().player.public_id], nodes[participant.player.public_id]) edge.color = edgecolor edge.style = 'dashed' edge.penwidth = 2 edge.weight = 6.0 if participant.killed(): if not participant.killedby.killer is None: edge = G.add_edge(nodes[participant.killedby.killer.player.public_id], nodes[participant.player.public_id]) else: edge = G.add_edge(gmnode, nodes[participant.player.public_id]) edge.color = edgecolor edge.fontcolor = 'red' edge.style = 'solid' edge.penwidth = 4 edge.weight = 10.0 label = utils.dateformat(participant.killedby.date) + ":\\n" maxlinelen = max(24, math.trunc(math.ceil(math.sqrt(6 * len(participant.killedby.reason))))) label += "\\n".join(textwrap.wrap(participant.killedby.reason, maxlinelen)).replace('"', "'") edge.label = ''.join([ c for c in label.encode('utf-8') if ord(c) < 2048]) edge.fontsize = edgefontsize edge.fontname = 'arial' # do the layout math and save to file if graph.__dict__.has_key('_yapgvb_py'): # if yapgvb works in python-only mode rc = MyRenderingContext() G.layout(graph.engines.dot, rendering_context=rc) G.render(filename, rendering_context=rc) else: # if yapgvb has libboost support compiled in G.layout(graph.engines.dot) G.render(filename) def _loadgame(gamefile): input = open(gamefile, 'rd') ret = pickle.load(input) input.close() return ret if __name__ == "__main__": import sys game = _loadgame(sys.argv[1]) moerdergraphall(game, sys.argv[2], alledges=True)

true

f73d133f1804d0833d771530b775e1da1e558e30

853

py

Python

src.py

duldiev/Assignment-2-Scrapping

a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52

[ "MIT" ]

null

src.py

duldiev/Assignment-2-Scrapping

a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52

[ "MIT" ]

null

src.py

duldiev/Assignment-2-Scrapping

a9dbb4bb14b7fe0a1c5ec6eba73491008ff8da52

[ "MIT" ]

null

from bs4 import BeautifulSoup as soup from selenium import webdriver class Scrapper: def getArticles(self, cryptoName): url = 'https://coinmarketcap.com/currencies/' + cryptoName + '/news/' driver = webdriver.Firefox() driver.get(url) page = driver.page_source page_soup = soup(page, 'html.parser') headers = page_soup.findAll("h3", {"class": "sc-1q9q90x-0", "class": "gEZmSc"}) paragraphs = page_soup.findAll("p", {"class": "sc-1eb5slv-0", "class": "svowul-3", "class": "ddtKCV"}) print('Latest news about', cryptoName.capitalize(), end=':') print() for i in range(0, min(len(headers), len(paragraphs))): print('Article', (i + 1), end=':') print() print(headers[i].text.strip(), '\n', 'More:', paragraphs[i].text.strip(), '\n')

38.772727

110

0.588511

from bs4 import BeautifulSoup as soup from selenium import webdriver class Scrapper: def getArticles(self, cryptoName): url = 'https://coinmarketcap.com/currencies/' + cryptoName + '/news/' driver = webdriver.Firefox() driver.get(url) page = driver.page_source page_soup = soup(page, 'html.parser') headers = page_soup.findAll("h3", {"class": "sc-1q9q90x-0", "class": "gEZmSc"}) paragraphs = page_soup.findAll("p", {"class": "sc-1eb5slv-0", "class": "svowul-3", "class": "ddtKCV"}) print('Latest news about', cryptoName.capitalize(), end=':') print() for i in range(0, min(len(headers), len(paragraphs))): print('Article', (i + 1), end=':') print() print(headers[i].text.strip(), '\n', 'More:', paragraphs[i].text.strip(), '\n')

true

f73d13f885dbff2583adeceb1df3697205245259

367

py

Python

main_app/forms.py

Blankphrase/social_reach

2dd49799c4f659d823c4d50ac6b79fe58f0bbddc

[ "MIT" ]

null

main_app/forms.py

Blankphrase/social_reach

2dd49799c4f659d823c4d50ac6b79fe58f0bbddc

[ "MIT" ]

3

2020-06-05T18:56:01.000Z

2021-06-10T20:48:50.000Z

main_app/forms.py

Blankphrase/social_reach

2dd49799c4f659d823c4d50ac6b79fe58f0bbddc

[ "MIT" ]

1

2018-09-11T08:48:43.000Z

from django import forms class UserSignupForm(forms.Form): first_name = forms.CharField(max_length=30, label='First Name') last_name = forms.CharField(max_length=30, label='Last Name') def signup(self, request, user): user.first_name = self.cleaned_data['first_name'] user.last_name = self.cleaned_data['last_name'] user.save()

30.583333

67

0.700272

from django import forms class UserSignupForm(forms.Form): first_name = forms.CharField(max_length=30, label='First Name') last_name = forms.CharField(max_length=30, label='Last Name') def signup(self, request, user): user.first_name = self.cleaned_data['first_name'] user.last_name = self.cleaned_data['last_name'] user.save()

true

f73d14dc5923df77021909a76535feb2c4b6de4b

4,238

py

Python

src/fhir_helpers/utils.py

anthem-ai/fhir-helpers

803653f7ef64dbb41bdc24b06cb16425964058aa

[ "Apache-2.0" ]

null

src/fhir_helpers/utils.py

anthem-ai/fhir-helpers

803653f7ef64dbb41bdc24b06cb16425964058aa

[ "Apache-2.0" ]

null

src/fhir_helpers/utils.py

anthem-ai/fhir-helpers

803653f7ef64dbb41bdc24b06cb16425964058aa

[ "Apache-2.0" ]

null

import operator from datetime import date, datetime from typing import Any, Literal, Optional from dateutil import tz from dateutil.parser import parse from dateutil.relativedelta import relativedelta from google.protobuf import message from proto.google.fhir.proto.r4.core import datatypes_pb2 ComparatorType = Literal["=", ">", ">=", "<", "<="] ComparatorFunc = { "=": operator.eq, ">": operator.gt, ">=": operator.ge, "<": operator.lt, "<=": operator.le, } def tz_conv(s: str) -> int: try: base = 1 if s[0] == "-": base = -1 s = s[1:] parts = [int(x) for x in s.split(":")] return base * (parts[0] * 3600 + parts[1] * 60) except Exception: return 0 # https://stackoverflow.com/questions/5802108/how-to-check-if-a-datetime-object-is-localized-with-pytz def _is_tz_aware(dt: datetime) -> bool: return dt.tzinfo is not None and dt.tzinfo.utcoffset(dt) is not None def _ensure_tz_aware(dt: datetime) -> datetime: if not _is_tz_aware(dt): return dt.replace(tzinfo=tz.tzutc()) return dt def get_years_since_datetime(resource_date: datetime) -> int: return relativedelta( datetime.now(tz=tz.tzutc()), _ensure_tz_aware(resource_date) ).years def get_years_since_date(resource_date: date) -> int: return relativedelta(date.today(), resource_date).years def parse_iso_datetime(str_datetime: str) -> Optional[datetime]: return _ensure_tz_aware(parse(str_datetime)) if str_datetime else None def parse_iso_date(str_datetime: str) -> Optional[date]: return parse(str_datetime).date() if str_datetime else None def convert_proto_date_time( proto_datetime: datatypes_pb2.DateTime, ) -> Optional[datetime]: if not proto_datetime.ByteSize(): return None return datetime.fromtimestamp( proto_datetime.value_us / 1_000_000, tz=tz.tzoffset(None, tz_conv(proto_datetime.timezone)), ) def convert_proto_date( proto_date: datatypes_pb2.Date, ) -> Optional[date]: if not proto_date.ByteSize(): return None return datetime.fromtimestamp( proto_date.value_us / 1_000_000, ).date() def check_after_date( after_date: datetime, resource_date: Optional[datetime] = None, ) -> bool: return ( _ensure_tz_aware(after_date) < _ensure_tz_aware(resource_date) if resource_date else False ) def check_before_date( before_date: datetime, resource_date: Optional[datetime] = None, ) -> bool: return ( _ensure_tz_aware(before_date) > _ensure_tz_aware(resource_date) if resource_date else False ) def ensure_non_null_date(dt: Optional[datetime]) -> datetime: if not dt: return datetime(1900, 1, 1, tzinfo=tz.tzutc()) return dt # Rough calculation, could be improved, but reasonably close def calc_time_ago(years: int = 0, months: int = 0, days: int = 0) -> datetime: return datetime.now(tz=tz.tzutc()) - relativedelta( years=years, months=months, days=days ) def search(val: Any, search_str: str) -> bool: if type(val) is dict: for k, v in val.items(): if search(v, search_str): return True if type(val) is list: for v in val: if search(v, search_str): return True if type(val) is str: if search_str.lower() in val.lower(): return True return False # https://stackoverflow.com/questions/29148391/looping-over-protocol-buffers-attributes-in-python def search_proto(proto: message.Message, search_str: str) -> bool: for descriptor, value in proto.ListFields(): if descriptor.type == descriptor.TYPE_MESSAGE: # Is List if descriptor.label == descriptor.LABEL_REPEATED: for val in value: if search_proto(val, search_str): return True # Is Object elif search_proto(value, search_str): return True elif descriptor.type == descriptor.TYPE_STRING and type(value) is str: if search_str.lower() in value.lower(): return True return False

26.993631

102

0.646531

import operator from datetime import date, datetime from typing import Any, Literal, Optional from dateutil import tz from dateutil.parser import parse from dateutil.relativedelta import relativedelta from google.protobuf import message from proto.google.fhir.proto.r4.core import datatypes_pb2 ComparatorType = Literal["=", ">", ">=", "<", "<="] ComparatorFunc = { "=": operator.eq, ">": operator.gt, ">=": operator.ge, "<": operator.lt, "<=": operator.le, } def tz_conv(s: str) -> int: try: base = 1 if s[0] == "-": base = -1 s = s[1:] parts = [int(x) for x in s.split(":")] return base * (parts[0] * 3600 + parts[1] * 60) except Exception: return 0 def _is_tz_aware(dt: datetime) -> bool: return dt.tzinfo is not None and dt.tzinfo.utcoffset(dt) is not None def _ensure_tz_aware(dt: datetime) -> datetime: if not _is_tz_aware(dt): return dt.replace(tzinfo=tz.tzutc()) return dt def get_years_since_datetime(resource_date: datetime) -> int: return relativedelta( datetime.now(tz=tz.tzutc()), _ensure_tz_aware(resource_date) ).years def get_years_since_date(resource_date: date) -> int: return relativedelta(date.today(), resource_date).years def parse_iso_datetime(str_datetime: str) -> Optional[datetime]: return _ensure_tz_aware(parse(str_datetime)) if str_datetime else None def parse_iso_date(str_datetime: str) -> Optional[date]: return parse(str_datetime).date() if str_datetime else None def convert_proto_date_time( proto_datetime: datatypes_pb2.DateTime, ) -> Optional[datetime]: if not proto_datetime.ByteSize(): return None return datetime.fromtimestamp( proto_datetime.value_us / 1_000_000, tz=tz.tzoffset(None, tz_conv(proto_datetime.timezone)), ) def convert_proto_date( proto_date: datatypes_pb2.Date, ) -> Optional[date]: if not proto_date.ByteSize(): return None return datetime.fromtimestamp( proto_date.value_us / 1_000_000, ).date() def check_after_date( after_date: datetime, resource_date: Optional[datetime] = None, ) -> bool: return ( _ensure_tz_aware(after_date) < _ensure_tz_aware(resource_date) if resource_date else False ) def check_before_date( before_date: datetime, resource_date: Optional[datetime] = None, ) -> bool: return ( _ensure_tz_aware(before_date) > _ensure_tz_aware(resource_date) if resource_date else False ) def ensure_non_null_date(dt: Optional[datetime]) -> datetime: if not dt: return datetime(1900, 1, 1, tzinfo=tz.tzutc()) return dt def calc_time_ago(years: int = 0, months: int = 0, days: int = 0) -> datetime: return datetime.now(tz=tz.tzutc()) - relativedelta( years=years, months=months, days=days ) def search(val: Any, search_str: str) -> bool: if type(val) is dict: for k, v in val.items(): if search(v, search_str): return True if type(val) is list: for v in val: if search(v, search_str): return True if type(val) is str: if search_str.lower() in val.lower(): return True return False def search_proto(proto: message.Message, search_str: str) -> bool: for descriptor, value in proto.ListFields(): if descriptor.type == descriptor.TYPE_MESSAGE: if descriptor.label == descriptor.LABEL_REPEATED: for val in value: if search_proto(val, search_str): return True elif search_proto(value, search_str): return True elif descriptor.type == descriptor.TYPE_STRING and type(value) is str: if search_str.lower() in value.lower(): return True return False

true

f73d14e380b950b8366f085b4d0a7302ccc13da9

1,435

py

Python

utils/test.py

Heedeok/OT_deepsort_kalman

174e3d618a2340c435ff945edffd00ab3d0a7a97

[ "MIT" ]

3

2021-03-02T05:55:46.000Z

2021-09-09T05:43:00.000Z

utils/test.py

Heedeok/OT_deepsort_kalman

174e3d618a2340c435ff945edffd00ab3d0a7a97

[ "MIT" ]

null

utils/test.py

Heedeok/OT_deepsort_kalman

174e3d618a2340c435ff945edffd00ab3d0a7a97

[ "MIT" ]

null

''' Date of modification : 2021.01.22 Code Summary : realsense camera python code ìµœì¢… ë²„ì „ Input option 0 : D435i (default) 1 : L515 2 : D445i ''' ##################################################### ## Import ## ##################################################### import numpy as np import cv2 from new_utils_RS import Realsense ##################################################### ## etc ## ##################################################### ''' clear the interpreter console. Method 1,2 ''' # import os # os.system('cls||clear') # print ("\033c") ##################################################### ## Stream ## ##################################################### def main(): ss = Realsense(1) ss.get_Intrinsics() # print(ss.get_Intrinsics()) zm = [] while True: cviz, dviz = ss.output_image() print(dviz.shape) x,y,z = ss.get_Depth_Point(640,360) cv2.imshow('test', cviz) print('x : {}, y : {}, z : {}'.format(x, y, z)) key = cv2.waitKey(1) if key & 0xFF == ord('q') or key == 27: cv2.destroyAllWindows() break if __name__ == "__main__": main()

26.090909

69

0.337979

true

f73d169f0c4f6941d6d154dba79e8ea19c3c2e6a

43,484

py

Python

uhd_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/trafficitem.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

uhd_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/trafficitem.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

uhd_restpy/testplatform/sessions/ixnetwork/traffic/trafficitem/trafficitem.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from uhd_restpy.base import Base from uhd_restpy.files import Files class TrafficItem(Base): """This object specifies the particular traffic item related properties. The TrafficItem class encapsulates a list of trafficItem resources that are managed by the user. A list of resources can be retrieved from the server using the TrafficItem.find() method. The list can be managed by using the TrafficItem.add() and TrafficItem.remove() methods. """ __slots__ = () _SDM_NAME = 'trafficItem' _SDM_ATT_MAP = { 'AllowSelfDestined': 'allowSelfDestined', 'BiDirectional': 'biDirectional', 'EgressEnabled': 'egressEnabled', 'EnableDynamicMplsLabelValues': 'enableDynamicMplsLabelValues', 'EnableMacsecEgressOnlyAutoConfig': 'enableMacsecEgressOnlyAutoConfig', 'Enabled': 'enabled', 'Errors': 'errors', 'FlowGroupCount': 'flowGroupCount', 'FrerDuplicateElimination': 'frerDuplicateElimination', 'HasOpenFlow': 'hasOpenFlow', 'HostsPerNetwork': 'hostsPerNetwork', 'InterAsBgpPreference': 'interAsBgpPreference', 'InterAsLdpPreference': 'interAsLdpPreference', 'LabelPreferences': 'labelPreferences', 'MaxNumberOfVpnLabelStack': 'maxNumberOfVpnLabelStack', 'MergeDestinations': 'mergeDestinations', 'MulticastForwardingMode': 'multicastForwardingMode', 'Name': 'name', 'NumVlansForMulticastReplication': 'numVlansForMulticastReplication', 'OrdinalNo': 'ordinalNo', 'OriginatorType': 'originatorType', 'RegenerateCount': 'regenerateCount', 'RoundRobinPacketOrdering': 'roundRobinPacketOrdering', 'RouteMesh': 'routeMesh', 'SrcDestMesh': 'srcDestMesh', 'State': 'state', 'Suspend': 'suspend', 'TrafficItemType': 'trafficItemType', 'TrafficType': 'trafficType', 'TransmitMode': 'transmitMode', 'TransportLdpPreference': 'transportLdpPreference', 'TransportRsvpTePreference': 'transportRsvpTePreference', 'UseControlPlaneFrameSize': 'useControlPlaneFrameSize', 'UseControlPlaneRate': 'useControlPlaneRate', 'Warnings': 'warnings', } def __init__(self, parent): super(TrafficItem, self).__init__(parent) @property def ConfigElement(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.configelement.configelement.ConfigElement): An instance of the ConfigElement class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.configelement.configelement import ConfigElement return ConfigElement(self) @property def EgressTracking(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.egresstracking.egresstracking.EgressTracking): An instance of the EgressTracking class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.egresstracking.egresstracking import EgressTracking return EgressTracking(self) @property def EndpointSet(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.endpointset.endpointset.EndpointSet): An instance of the EndpointSet class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.endpointset.endpointset import EndpointSet return EndpointSet(self) @property def HighLevelStream(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.highlevelstream.highlevelstream.HighLevelStream): An instance of the HighLevelStream class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.highlevelstream.highlevelstream import HighLevelStream return HighLevelStream(self) @property def Tracking(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.tracking.tracking.Tracking): An instance of the Tracking class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.tracking.tracking import Tracking return Tracking(self) @property def AllowSelfDestined(self): """ Returns ------- - bool: If true, this helps to send traffic from routes on an Ixia port to other routes on the same Ixia port. """ return self._get_attribute(self._SDM_ATT_MAP['AllowSelfDestined']) @AllowSelfDestined.setter def AllowSelfDestined(self, value): self._set_attribute(self._SDM_ATT_MAP['AllowSelfDestined'], value) @property def BiDirectional(self): """ Returns ------- - bool: If true, this enables traffic to be sent in forward and reverse destination. """ return self._get_attribute(self._SDM_ATT_MAP['BiDirectional']) @BiDirectional.setter def BiDirectional(self, value): self._set_attribute(self._SDM_ATT_MAP['BiDirectional'], value) @property def EgressEnabled(self): """ Returns ------- - bool: Enables the egress. """ return self._get_attribute(self._SDM_ATT_MAP['EgressEnabled']) @EgressEnabled.setter def EgressEnabled(self, value): self._set_attribute(self._SDM_ATT_MAP['EgressEnabled'], value) @property def EnableDynamicMplsLabelValues(self): """ Returns ------- - bool: Enables the dynamic MPLS label values. """ return self._get_attribute(self._SDM_ATT_MAP['EnableDynamicMplsLabelValues']) @EnableDynamicMplsLabelValues.setter def EnableDynamicMplsLabelValues(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableDynamicMplsLabelValues'], value) @property def EnableMacsecEgressOnlyAutoConfig(self): """ Returns ------- - bool: """ return self._get_attribute(self._SDM_ATT_MAP['EnableMacsecEgressOnlyAutoConfig']) @EnableMacsecEgressOnlyAutoConfig.setter def EnableMacsecEgressOnlyAutoConfig(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableMacsecEgressOnlyAutoConfig'], value) @property def Enabled(self): """ Returns ------- - bool: If true, this enables the selected traffic item. """ return self._get_attribute(self._SDM_ATT_MAP['Enabled']) @Enabled.setter def Enabled(self, value): self._set_attribute(self._SDM_ATT_MAP['Enabled'], value) @property def Errors(self): """ Returns ------- - list(str): Displays the errors. """ return self._get_attribute(self._SDM_ATT_MAP['Errors']) @property def FlowGroupCount(self): """ Returns ------- - number: Indicates the number of flow groups. """ return self._get_attribute(self._SDM_ATT_MAP['FlowGroupCount']) @property def FrerDuplicateElimination(self): """ Returns ------- - bool: """ return self._get_attribute(self._SDM_ATT_MAP['FrerDuplicateElimination']) @FrerDuplicateElimination.setter def FrerDuplicateElimination(self, value): self._set_attribute(self._SDM_ATT_MAP['FrerDuplicateElimination'], value) @property def HasOpenFlow(self): """ Returns ------- - bool: Indicates whether or not this trafficItem has openflow. """ return self._get_attribute(self._SDM_ATT_MAP['HasOpenFlow']) @HasOpenFlow.setter def HasOpenFlow(self, value): self._set_attribute(self._SDM_ATT_MAP['HasOpenFlow'], value) @property def HostsPerNetwork(self): """ Returns ------- - number: The number of emulated hosts for the traffic stream. """ return self._get_attribute(self._SDM_ATT_MAP['HostsPerNetwork']) @HostsPerNetwork.setter def HostsPerNetwork(self, value): self._set_attribute(self._SDM_ATT_MAP['HostsPerNetwork'], value) @property def InterAsBgpPreference(self): """DEPRECATED Returns ------- - str(one | two): This attribute is deprecated. Use labelPreferences attribute instead. """ return self._get_attribute(self._SDM_ATT_MAP['InterAsBgpPreference']) @InterAsBgpPreference.setter def InterAsBgpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['InterAsBgpPreference'], value) @property def InterAsLdpPreference(self): """DEPRECATED Returns ------- - str(one | two): This attribute is deprecated. Use labelPreferences attribute instead. """ return self._get_attribute(self._SDM_ATT_MAP['InterAsLdpPreference']) @InterAsLdpPreference.setter def InterAsLdpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['InterAsLdpPreference'], value) @property def LabelPreferences(self): """ Returns ------- - list(dict(labelCategory:str[interAsRegionLsp | interAsRegionLspClassic | ipTransportLsp | transportLspClassic | vpnTransportLsp],labelPreferenceInput:str[auto | custom | none],labelProviderList:list[str[bgpLuSr | bgpLuSrInterAs | bgpv6LuSr | isisSr | ldp | ospfSr | ospfv3Sr | rsvp | targetedLdpInterAs]])): List of label preferences per Label Category defined as List[Label Category, Label Category input type, List of Label Providers in the preferred order] """ return self._get_attribute(self._SDM_ATT_MAP['LabelPreferences']) @LabelPreferences.setter def LabelPreferences(self, value): self._set_attribute(self._SDM_ATT_MAP['LabelPreferences'], value) @property def MaxNumberOfVpnLabelStack(self): """ Returns ------- - number: Signifies the maximum number of VPN label stack """ return self._get_attribute(self._SDM_ATT_MAP['MaxNumberOfVpnLabelStack']) @MaxNumberOfVpnLabelStack.setter def MaxNumberOfVpnLabelStack(self, value): self._set_attribute(self._SDM_ATT_MAP['MaxNumberOfVpnLabelStack'], value) @property def MergeDestinations(self): """ Returns ------- - bool: If true, merges the traffic flow in the destination ranges. """ return self._get_attribute(self._SDM_ATT_MAP['MergeDestinations']) @MergeDestinations.setter def MergeDestinations(self, value): self._set_attribute(self._SDM_ATT_MAP['MergeDestinations'], value) @property def MulticastForwardingMode(self): """ Returns ------- - str(loadBalancing | replication): """ return self._get_attribute(self._SDM_ATT_MAP['MulticastForwardingMode']) @MulticastForwardingMode.setter def MulticastForwardingMode(self, value): self._set_attribute(self._SDM_ATT_MAP['MulticastForwardingMode'], value) @property def Name(self): """ Returns ------- - str: The name of the traffic item. """ return self._get_attribute(self._SDM_ATT_MAP['Name']) @Name.setter def Name(self, value): self._set_attribute(self._SDM_ATT_MAP['Name'], value) @property def NumVlansForMulticastReplication(self): """ Returns ------- - number: Set the number of vlans for multicast replication """ return self._get_attribute(self._SDM_ATT_MAP['NumVlansForMulticastReplication']) @NumVlansForMulticastReplication.setter def NumVlansForMulticastReplication(self, value): self._set_attribute(self._SDM_ATT_MAP['NumVlansForMulticastReplication'], value) @property def OrdinalNo(self): """ Returns ------- - number: Signifies the ordinal number """ return self._get_attribute(self._SDM_ATT_MAP['OrdinalNo']) @OrdinalNo.setter def OrdinalNo(self, value): self._set_attribute(self._SDM_ATT_MAP['OrdinalNo'], value) @property def OriginatorType(self): """ Returns ------- - str(endUser | quickTest): Indicates who created this trafficItem. """ return self._get_attribute(self._SDM_ATT_MAP['OriginatorType']) @OriginatorType.setter def OriginatorType(self, value): self._set_attribute(self._SDM_ATT_MAP['OriginatorType'], value) @property def RegenerateCount(self): """ Returns ------- - number: """ return self._get_attribute(self._SDM_ATT_MAP['RegenerateCount']) @property def RoundRobinPacketOrdering(self): """ Returns ------- - bool: This option enables Round Robin Packet Ordering within endpoints across Rx ports. """ return self._get_attribute(self._SDM_ATT_MAP['RoundRobinPacketOrdering']) @RoundRobinPacketOrdering.setter def RoundRobinPacketOrdering(self, value): self._set_attribute(self._SDM_ATT_MAP['RoundRobinPacketOrdering'], value) @property def RouteMesh(self): """ Returns ------- - str(fullMesh | oneToOne): The traffic flow type between each pair of source route endpoint and destination route endpoint. """ return self._get_attribute(self._SDM_ATT_MAP['RouteMesh']) @RouteMesh.setter def RouteMesh(self, value): self._set_attribute(self._SDM_ATT_MAP['RouteMesh'], value) @property def SrcDestMesh(self): """ Returns ------- - str(fullMesh | manyToMany | none | oneToOne): Select the options to set the traffic mesh type between the Source Endpoint and Destination endpoint. """ return self._get_attribute(self._SDM_ATT_MAP['SrcDestMesh']) @SrcDestMesh.setter def SrcDestMesh(self, value): self._set_attribute(self._SDM_ATT_MAP['SrcDestMesh'], value) @property def State(self): """ Returns ------- - str: (Read only) A read-only field which indicates the current state of the traffic item. """ return self._get_attribute(self._SDM_ATT_MAP['State']) @property def Suspend(self): """ Returns ------- - bool: Suspends all traffic on this stream. """ return self._get_attribute(self._SDM_ATT_MAP['Suspend']) @Suspend.setter def Suspend(self, value): self._set_attribute(self._SDM_ATT_MAP['Suspend'], value) @property def TrafficItemType(self): """ Returns ------- - str(application | applicationLibrary | l2L3 | quick): Helps to configure and edit a traffic item that is sent across Ixia ports. """ return self._get_attribute(self._SDM_ATT_MAP['TrafficItemType']) @TrafficItemType.setter def TrafficItemType(self, value): self._set_attribute(self._SDM_ATT_MAP['TrafficItemType'], value) @property def TrafficType(self): """ Returns ------- - str(atm | avb1722 | avbRaw | ethernetVlan | fc | fcoe | frameRelay | hdlc | ipv4 | ipv4ApplicationTraffic | ipv6 | ipv6ApplicationTraffic | ppp | raw): Helps to select the type of traffic endpoint to be configured. """ return self._get_attribute(self._SDM_ATT_MAP['TrafficType']) @TrafficType.setter def TrafficType(self, value): self._set_attribute(self._SDM_ATT_MAP['TrafficType'], value) @property def TransmitMode(self): """ Returns ------- - str(interleaved | sequential): The transmit mode for this traffic item """ return self._get_attribute(self._SDM_ATT_MAP['TransmitMode']) @TransmitMode.setter def TransmitMode(self, value): self._set_attribute(self._SDM_ATT_MAP['TransmitMode'], value) @property def TransportLdpPreference(self): """DEPRECATED Returns ------- - str(one | two): This attribute is deprecated. Use labelPreferences attribute instead. """ return self._get_attribute(self._SDM_ATT_MAP['TransportLdpPreference']) @TransportLdpPreference.setter def TransportLdpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['TransportLdpPreference'], value) @property def TransportRsvpTePreference(self): """DEPRECATED Returns ------- - str(one | two): This attribute is deprecated. Use labelPreferences attribute instead. """ return self._get_attribute(self._SDM_ATT_MAP['TransportRsvpTePreference']) @TransportRsvpTePreference.setter def TransportRsvpTePreference(self, value): self._set_attribute(self._SDM_ATT_MAP['TransportRsvpTePreference'], value) @property def UseControlPlaneFrameSize(self): """ Returns ------- - bool: """ return self._get_attribute(self._SDM_ATT_MAP['UseControlPlaneFrameSize']) @UseControlPlaneFrameSize.setter def UseControlPlaneFrameSize(self, value): self._set_attribute(self._SDM_ATT_MAP['UseControlPlaneFrameSize'], value) @property def UseControlPlaneRate(self): """ Returns ------- - bool: """ return self._get_attribute(self._SDM_ATT_MAP['UseControlPlaneRate']) @UseControlPlaneRate.setter def UseControlPlaneRate(self, value): self._set_attribute(self._SDM_ATT_MAP['UseControlPlaneRate'], value) @property def Warnings(self): """ Returns ------- - list(str): Displays the warnings. """ return self._get_attribute(self._SDM_ATT_MAP['Warnings']) def update(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None): """Updates trafficItem resource on the server. Args ---- - AllowSelfDestined (bool): If true, this helps to send traffic from routes on an Ixia port to other routes on the same Ixia port. - BiDirectional (bool): If true, this enables traffic to be sent in forward and reverse destination. - EgressEnabled (bool): Enables the egress. - EnableDynamicMplsLabelValues (bool): Enables the dynamic MPLS label values. - EnableMacsecEgressOnlyAutoConfig (bool): - Enabled (bool): If true, this enables the selected traffic item. - FrerDuplicateElimination (bool): - HasOpenFlow (bool): Indicates whether or not this trafficItem has openflow. - HostsPerNetwork (number): The number of emulated hosts for the traffic stream. - InterAsBgpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - InterAsLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - LabelPreferences (list(dict(labelCategory:str[interAsRegionLsp | interAsRegionLspClassic | ipTransportLsp | transportLspClassic | vpnTransportLsp],labelPreferenceInput:str[auto | custom | none],labelProviderList:list[str[bgpLuSr | bgpLuSrInterAs | bgpv6LuSr | isisSr | ldp | ospfSr | ospfv3Sr | rsvp | targetedLdpInterAs]]))): List of label preferences per Label Category defined as List[Label Category, Label Category input type, List of Label Providers in the preferred order] - MaxNumberOfVpnLabelStack (number): Signifies the maximum number of VPN label stack - MergeDestinations (bool): If true, merges the traffic flow in the destination ranges. - MulticastForwardingMode (str(loadBalancing | replication)): - Name (str): The name of the traffic item. - NumVlansForMulticastReplication (number): Set the number of vlans for multicast replication - OrdinalNo (number): Signifies the ordinal number - OriginatorType (str(endUser | quickTest)): Indicates who created this trafficItem. - RoundRobinPacketOrdering (bool): This option enables Round Robin Packet Ordering within endpoints across Rx ports. - RouteMesh (str(fullMesh | oneToOne)): The traffic flow type between each pair of source route endpoint and destination route endpoint. - SrcDestMesh (str(fullMesh | manyToMany | none | oneToOne)): Select the options to set the traffic mesh type between the Source Endpoint and Destination endpoint. - Suspend (bool): Suspends all traffic on this stream. - TrafficItemType (str(application | applicationLibrary | l2L3 | quick)): Helps to configure and edit a traffic item that is sent across Ixia ports. - TrafficType (str(atm | avb1722 | avbRaw | ethernetVlan | fc | fcoe | frameRelay | hdlc | ipv4 | ipv4ApplicationTraffic | ipv6 | ipv6ApplicationTraffic | ppp | raw)): Helps to select the type of traffic endpoint to be configured. - TransmitMode (str(interleaved | sequential)): The transmit mode for this traffic item - TransportLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - TransportRsvpTePreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - UseControlPlaneFrameSize (bool): - UseControlPlaneRate (bool): Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) def add(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None): """Adds a new trafficItem resource on the server and adds it to the container. Args ---- - AllowSelfDestined (bool): If true, this helps to send traffic from routes on an Ixia port to other routes on the same Ixia port. - BiDirectional (bool): If true, this enables traffic to be sent in forward and reverse destination. - EgressEnabled (bool): Enables the egress. - EnableDynamicMplsLabelValues (bool): Enables the dynamic MPLS label values. - EnableMacsecEgressOnlyAutoConfig (bool): - Enabled (bool): If true, this enables the selected traffic item. - FrerDuplicateElimination (bool): - HasOpenFlow (bool): Indicates whether or not this trafficItem has openflow. - HostsPerNetwork (number): The number of emulated hosts for the traffic stream. - InterAsBgpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - InterAsLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - LabelPreferences (list(dict(labelCategory:str[interAsRegionLsp | interAsRegionLspClassic | ipTransportLsp | transportLspClassic | vpnTransportLsp],labelPreferenceInput:str[auto | custom | none],labelProviderList:list[str[bgpLuSr | bgpLuSrInterAs | bgpv6LuSr | isisSr | ldp | ospfSr | ospfv3Sr | rsvp | targetedLdpInterAs]]))): List of label preferences per Label Category defined as List[Label Category, Label Category input type, List of Label Providers in the preferred order] - MaxNumberOfVpnLabelStack (number): Signifies the maximum number of VPN label stack - MergeDestinations (bool): If true, merges the traffic flow in the destination ranges. - MulticastForwardingMode (str(loadBalancing | replication)): - Name (str): The name of the traffic item. - NumVlansForMulticastReplication (number): Set the number of vlans for multicast replication - OrdinalNo (number): Signifies the ordinal number - OriginatorType (str(endUser | quickTest)): Indicates who created this trafficItem. - RoundRobinPacketOrdering (bool): This option enables Round Robin Packet Ordering within endpoints across Rx ports. - RouteMesh (str(fullMesh | oneToOne)): The traffic flow type between each pair of source route endpoint and destination route endpoint. - SrcDestMesh (str(fullMesh | manyToMany | none | oneToOne)): Select the options to set the traffic mesh type between the Source Endpoint and Destination endpoint. - Suspend (bool): Suspends all traffic on this stream. - TrafficItemType (str(application | applicationLibrary | l2L3 | quick)): Helps to configure and edit a traffic item that is sent across Ixia ports. - TrafficType (str(atm | avb1722 | avbRaw | ethernetVlan | fc | fcoe | frameRelay | hdlc | ipv4 | ipv4ApplicationTraffic | ipv6 | ipv6ApplicationTraffic | ppp | raw)): Helps to select the type of traffic endpoint to be configured. - TransmitMode (str(interleaved | sequential)): The transmit mode for this traffic item - TransportLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - TransportRsvpTePreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - UseControlPlaneFrameSize (bool): - UseControlPlaneRate (bool): Returns ------- - self: This instance with all currently retrieved trafficItem resources using find and the newly added trafficItem resources available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._create(self._map_locals(self._SDM_ATT_MAP, locals())) def remove(self): """Deletes all the contained trafficItem resources in this instance from the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ self._delete() def find(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, Errors=None, FlowGroupCount=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RegenerateCount=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, State=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None, Warnings=None): """Finds and retrieves trafficItem resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve trafficItem resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all trafficItem resources from the server. Args ---- - AllowSelfDestined (bool): If true, this helps to send traffic from routes on an Ixia port to other routes on the same Ixia port. - BiDirectional (bool): If true, this enables traffic to be sent in forward and reverse destination. - EgressEnabled (bool): Enables the egress. - EnableDynamicMplsLabelValues (bool): Enables the dynamic MPLS label values. - EnableMacsecEgressOnlyAutoConfig (bool): - Enabled (bool): If true, this enables the selected traffic item. - Errors (list(str)): Displays the errors. - FlowGroupCount (number): Indicates the number of flow groups. - FrerDuplicateElimination (bool): - HasOpenFlow (bool): Indicates whether or not this trafficItem has openflow. - HostsPerNetwork (number): The number of emulated hosts for the traffic stream. - InterAsBgpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - InterAsLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - LabelPreferences (list(dict(labelCategory:str[interAsRegionLsp | interAsRegionLspClassic | ipTransportLsp | transportLspClassic | vpnTransportLsp],labelPreferenceInput:str[auto | custom | none],labelProviderList:list[str[bgpLuSr | bgpLuSrInterAs | bgpv6LuSr | isisSr | ldp | ospfSr | ospfv3Sr | rsvp | targetedLdpInterAs]]))): List of label preferences per Label Category defined as List[Label Category, Label Category input type, List of Label Providers in the preferred order] - MaxNumberOfVpnLabelStack (number): Signifies the maximum number of VPN label stack - MergeDestinations (bool): If true, merges the traffic flow in the destination ranges. - MulticastForwardingMode (str(loadBalancing | replication)): - Name (str): The name of the traffic item. - NumVlansForMulticastReplication (number): Set the number of vlans for multicast replication - OrdinalNo (number): Signifies the ordinal number - OriginatorType (str(endUser | quickTest)): Indicates who created this trafficItem. - RegenerateCount (number): - RoundRobinPacketOrdering (bool): This option enables Round Robin Packet Ordering within endpoints across Rx ports. - RouteMesh (str(fullMesh | oneToOne)): The traffic flow type between each pair of source route endpoint and destination route endpoint. - SrcDestMesh (str(fullMesh | manyToMany | none | oneToOne)): Select the options to set the traffic mesh type between the Source Endpoint and Destination endpoint. - State (str): (Read only) A read-only field which indicates the current state of the traffic item. - Suspend (bool): Suspends all traffic on this stream. - TrafficItemType (str(application | applicationLibrary | l2L3 | quick)): Helps to configure and edit a traffic item that is sent across Ixia ports. - TrafficType (str(atm | avb1722 | avbRaw | ethernetVlan | fc | fcoe | frameRelay | hdlc | ipv4 | ipv4ApplicationTraffic | ipv6 | ipv6ApplicationTraffic | ppp | raw)): Helps to select the type of traffic endpoint to be configured. - TransmitMode (str(interleaved | sequential)): The transmit mode for this traffic item - TransportLdpPreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - TransportRsvpTePreference (str(one | two)): This attribute is deprecated. Use labelPreferences attribute instead. - UseControlPlaneFrameSize (bool): - UseControlPlaneRate (bool): - Warnings (list(str)): Displays the warnings. Returns ------- - self: This instance with matching trafficItem resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of trafficItem data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the trafficItem resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href) def ConvertToRaw(self): """Executes the convertToRaw operation on the server. Converts a non-raw traffic item to a raw traffic item. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('convertToRaw', payload=payload, response_object=None) def Duplicate(self, *args, **kwargs): """Executes the duplicate operation on the server. Duplicates a specific traffic item. duplicate(Arg2=number) ---------------------- - Arg2 (number): The number of times to duplicate the traffic item. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('duplicate', payload=payload, response_object=None) def DuplicateItems(self): """Executes the duplicateItems operation on the server. Duplicates a list of traffic items. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('duplicateItems', payload=payload, response_object=None) def Generate(self): """Executes the generate operation on the server. Generate traffic for specific traffic items. The IxNetwork model allows for multiple method Signatures with the same name while python does not. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('generate', payload=payload, response_object=None) def PauseStatelessTraffic(self, *args, **kwargs): """Executes the pauseStatelessTraffic operation on the server. Pause or Resume stateless traffic. pauseStatelessTraffic(Arg2=bool) -------------------------------- - Arg2 (bool): If true, it will pause running traffic. If false, it will resume previously paused traffic. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('pauseStatelessTraffic', payload=payload, response_object=None) def ResolveAptixiaEndpoints(self): """Executes the resolveAptixiaEndpoints operation on the server. Resolves /vport/protocolStack/. endpoints being used by a specific traffic item. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('resolveAptixiaEndpoints', payload=payload, response_object=None) def StartDefaultLearning(self): """Executes the startDefaultLearning operation on the server. Starts default learning for a list of traffic items. The IxNetwork model allows for multiple method Signatures with the same name while python does not. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('startDefaultLearning', payload=payload, response_object=None) def StartLearning(self, *args, **kwargs): """Executes the startLearning operation on the server. Sends learning frames. The IxNetwork model allows for multiple method Signatures with the same name while python does not. startLearning(Arg2=number, Arg3=number, Arg4=number) ---------------------------------------------------- - Arg2 (number): The framesize of the learning frame. - Arg3 (number): The framecount of the learning frames. - Arg4 (number): The frames per second of the learning frames. startLearning(Arg2=number, Arg3=number, Arg4=number, Arg5=bool, Arg6=bool, Arg7=bool) ------------------------------------------------------------------------------------- - Arg2 (number): The framesize of the learning frame. - Arg3 (number): The framecount of the learning frames. - Arg4 (number): The frames per second of the learning frames. - Arg5 (bool): Send gratuitous ARP frames. - Arg6 (bool): Send MAC frames. - Arg7 (bool): Send Fast Path frames. startLearning(Arg2=number, Arg3=number, Arg4=number, Arg5=bool, Arg6=bool, Arg7=bool, Arg8=bool) ------------------------------------------------------------------------------------------------ - Arg2 (number): The framesize of the learning frame. - Arg3 (number): The framecount of the learning frames. - Arg4 (number): The frames per second of the learning frames. - Arg5 (bool): Send gratuitous ARP frames. - Arg6 (bool): Send MAC frames. - Arg7 (bool): Send Fast Path frames. - Arg8 (bool): Send full mesh. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('startLearning', payload=payload, response_object=None) def StartStatelessTraffic(self): """Executes the startStatelessTraffic operation on the server. Start the traffic configuration for stateless traffic items only. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('startStatelessTraffic', payload=payload, response_object=None) def StartStatelessTrafficBlocking(self): """Executes the startStatelessTrafficBlocking operation on the server. Start the traffic configuration for stateless traffic items only. This will block until traffic is fully started. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('startStatelessTrafficBlocking', payload=payload, response_object=None) def StopStatelessTraffic(self): """Executes the stopStatelessTraffic operation on the server. Stop the stateless traffic items. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('stopStatelessTraffic', payload=payload, response_object=None) def StopStatelessTrafficBlocking(self): """Executes the stopStatelessTrafficBlocking operation on the server. Stop the traffic configuration for stateless traffic items only. This will block until traffic is fully stopped. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self } return self._execute('stopStatelessTrafficBlocking', payload=payload, response_object=None)

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from uhd_restpy.base import Base from uhd_restpy.files import Files class TrafficItem(Base): __slots__ = () _SDM_NAME = 'trafficItem' _SDM_ATT_MAP = { 'AllowSelfDestined': 'allowSelfDestined', 'BiDirectional': 'biDirectional', 'EgressEnabled': 'egressEnabled', 'EnableDynamicMplsLabelValues': 'enableDynamicMplsLabelValues', 'EnableMacsecEgressOnlyAutoConfig': 'enableMacsecEgressOnlyAutoConfig', 'Enabled': 'enabled', 'Errors': 'errors', 'FlowGroupCount': 'flowGroupCount', 'FrerDuplicateElimination': 'frerDuplicateElimination', 'HasOpenFlow': 'hasOpenFlow', 'HostsPerNetwork': 'hostsPerNetwork', 'InterAsBgpPreference': 'interAsBgpPreference', 'InterAsLdpPreference': 'interAsLdpPreference', 'LabelPreferences': 'labelPreferences', 'MaxNumberOfVpnLabelStack': 'maxNumberOfVpnLabelStack', 'MergeDestinations': 'mergeDestinations', 'MulticastForwardingMode': 'multicastForwardingMode', 'Name': 'name', 'NumVlansForMulticastReplication': 'numVlansForMulticastReplication', 'OrdinalNo': 'ordinalNo', 'OriginatorType': 'originatorType', 'RegenerateCount': 'regenerateCount', 'RoundRobinPacketOrdering': 'roundRobinPacketOrdering', 'RouteMesh': 'routeMesh', 'SrcDestMesh': 'srcDestMesh', 'State': 'state', 'Suspend': 'suspend', 'TrafficItemType': 'trafficItemType', 'TrafficType': 'trafficType', 'TransmitMode': 'transmitMode', 'TransportLdpPreference': 'transportLdpPreference', 'TransportRsvpTePreference': 'transportRsvpTePreference', 'UseControlPlaneFrameSize': 'useControlPlaneFrameSize', 'UseControlPlaneRate': 'useControlPlaneRate', 'Warnings': 'warnings', } def __init__(self, parent): super(TrafficItem, self).__init__(parent) @property def ConfigElement(self): from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.configelement.configelement import ConfigElement return ConfigElement(self) @property def EgressTracking(self): from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.egresstracking.egresstracking import EgressTracking return EgressTracking(self) @property def EndpointSet(self): from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.endpointset.endpointset import EndpointSet return EndpointSet(self) @property def HighLevelStream(self): from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.highlevelstream.highlevelstream import HighLevelStream return HighLevelStream(self) @property def Tracking(self): from uhd_restpy.testplatform.sessions.ixnetwork.traffic.trafficitem.tracking.tracking import Tracking return Tracking(self) @property def AllowSelfDestined(self): return self._get_attribute(self._SDM_ATT_MAP['AllowSelfDestined']) @AllowSelfDestined.setter def AllowSelfDestined(self, value): self._set_attribute(self._SDM_ATT_MAP['AllowSelfDestined'], value) @property def BiDirectional(self): return self._get_attribute(self._SDM_ATT_MAP['BiDirectional']) @BiDirectional.setter def BiDirectional(self, value): self._set_attribute(self._SDM_ATT_MAP['BiDirectional'], value) @property def EgressEnabled(self): return self._get_attribute(self._SDM_ATT_MAP['EgressEnabled']) @EgressEnabled.setter def EgressEnabled(self, value): self._set_attribute(self._SDM_ATT_MAP['EgressEnabled'], value) @property def EnableDynamicMplsLabelValues(self): return self._get_attribute(self._SDM_ATT_MAP['EnableDynamicMplsLabelValues']) @EnableDynamicMplsLabelValues.setter def EnableDynamicMplsLabelValues(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableDynamicMplsLabelValues'], value) @property def EnableMacsecEgressOnlyAutoConfig(self): return self._get_attribute(self._SDM_ATT_MAP['EnableMacsecEgressOnlyAutoConfig']) @EnableMacsecEgressOnlyAutoConfig.setter def EnableMacsecEgressOnlyAutoConfig(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableMacsecEgressOnlyAutoConfig'], value) @property def Enabled(self): return self._get_attribute(self._SDM_ATT_MAP['Enabled']) @Enabled.setter def Enabled(self, value): self._set_attribute(self._SDM_ATT_MAP['Enabled'], value) @property def Errors(self): return self._get_attribute(self._SDM_ATT_MAP['Errors']) @property def FlowGroupCount(self): return self._get_attribute(self._SDM_ATT_MAP['FlowGroupCount']) @property def FrerDuplicateElimination(self): return self._get_attribute(self._SDM_ATT_MAP['FrerDuplicateElimination']) @FrerDuplicateElimination.setter def FrerDuplicateElimination(self, value): self._set_attribute(self._SDM_ATT_MAP['FrerDuplicateElimination'], value) @property def HasOpenFlow(self): return self._get_attribute(self._SDM_ATT_MAP['HasOpenFlow']) @HasOpenFlow.setter def HasOpenFlow(self, value): self._set_attribute(self._SDM_ATT_MAP['HasOpenFlow'], value) @property def HostsPerNetwork(self): return self._get_attribute(self._SDM_ATT_MAP['HostsPerNetwork']) @HostsPerNetwork.setter def HostsPerNetwork(self, value): self._set_attribute(self._SDM_ATT_MAP['HostsPerNetwork'], value) @property def InterAsBgpPreference(self): return self._get_attribute(self._SDM_ATT_MAP['InterAsBgpPreference']) @InterAsBgpPreference.setter def InterAsBgpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['InterAsBgpPreference'], value) @property def InterAsLdpPreference(self): return self._get_attribute(self._SDM_ATT_MAP['InterAsLdpPreference']) @InterAsLdpPreference.setter def InterAsLdpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['InterAsLdpPreference'], value) @property def LabelPreferences(self): return self._get_attribute(self._SDM_ATT_MAP['LabelPreferences']) @LabelPreferences.setter def LabelPreferences(self, value): self._set_attribute(self._SDM_ATT_MAP['LabelPreferences'], value) @property def MaxNumberOfVpnLabelStack(self): return self._get_attribute(self._SDM_ATT_MAP['MaxNumberOfVpnLabelStack']) @MaxNumberOfVpnLabelStack.setter def MaxNumberOfVpnLabelStack(self, value): self._set_attribute(self._SDM_ATT_MAP['MaxNumberOfVpnLabelStack'], value) @property def MergeDestinations(self): return self._get_attribute(self._SDM_ATT_MAP['MergeDestinations']) @MergeDestinations.setter def MergeDestinations(self, value): self._set_attribute(self._SDM_ATT_MAP['MergeDestinations'], value) @property def MulticastForwardingMode(self): return self._get_attribute(self._SDM_ATT_MAP['MulticastForwardingMode']) @MulticastForwardingMode.setter def MulticastForwardingMode(self, value): self._set_attribute(self._SDM_ATT_MAP['MulticastForwardingMode'], value) @property def Name(self): return self._get_attribute(self._SDM_ATT_MAP['Name']) @Name.setter def Name(self, value): self._set_attribute(self._SDM_ATT_MAP['Name'], value) @property def NumVlansForMulticastReplication(self): return self._get_attribute(self._SDM_ATT_MAP['NumVlansForMulticastReplication']) @NumVlansForMulticastReplication.setter def NumVlansForMulticastReplication(self, value): self._set_attribute(self._SDM_ATT_MAP['NumVlansForMulticastReplication'], value) @property def OrdinalNo(self): return self._get_attribute(self._SDM_ATT_MAP['OrdinalNo']) @OrdinalNo.setter def OrdinalNo(self, value): self._set_attribute(self._SDM_ATT_MAP['OrdinalNo'], value) @property def OriginatorType(self): return self._get_attribute(self._SDM_ATT_MAP['OriginatorType']) @OriginatorType.setter def OriginatorType(self, value): self._set_attribute(self._SDM_ATT_MAP['OriginatorType'], value) @property def RegenerateCount(self): return self._get_attribute(self._SDM_ATT_MAP['RegenerateCount']) @property def RoundRobinPacketOrdering(self): return self._get_attribute(self._SDM_ATT_MAP['RoundRobinPacketOrdering']) @RoundRobinPacketOrdering.setter def RoundRobinPacketOrdering(self, value): self._set_attribute(self._SDM_ATT_MAP['RoundRobinPacketOrdering'], value) @property def RouteMesh(self): return self._get_attribute(self._SDM_ATT_MAP['RouteMesh']) @RouteMesh.setter def RouteMesh(self, value): self._set_attribute(self._SDM_ATT_MAP['RouteMesh'], value) @property def SrcDestMesh(self): return self._get_attribute(self._SDM_ATT_MAP['SrcDestMesh']) @SrcDestMesh.setter def SrcDestMesh(self, value): self._set_attribute(self._SDM_ATT_MAP['SrcDestMesh'], value) @property def State(self): return self._get_attribute(self._SDM_ATT_MAP['State']) @property def Suspend(self): return self._get_attribute(self._SDM_ATT_MAP['Suspend']) @Suspend.setter def Suspend(self, value): self._set_attribute(self._SDM_ATT_MAP['Suspend'], value) @property def TrafficItemType(self): return self._get_attribute(self._SDM_ATT_MAP['TrafficItemType']) @TrafficItemType.setter def TrafficItemType(self, value): self._set_attribute(self._SDM_ATT_MAP['TrafficItemType'], value) @property def TrafficType(self): return self._get_attribute(self._SDM_ATT_MAP['TrafficType']) @TrafficType.setter def TrafficType(self, value): self._set_attribute(self._SDM_ATT_MAP['TrafficType'], value) @property def TransmitMode(self): return self._get_attribute(self._SDM_ATT_MAP['TransmitMode']) @TransmitMode.setter def TransmitMode(self, value): self._set_attribute(self._SDM_ATT_MAP['TransmitMode'], value) @property def TransportLdpPreference(self): return self._get_attribute(self._SDM_ATT_MAP['TransportLdpPreference']) @TransportLdpPreference.setter def TransportLdpPreference(self, value): self._set_attribute(self._SDM_ATT_MAP['TransportLdpPreference'], value) @property def TransportRsvpTePreference(self): return self._get_attribute(self._SDM_ATT_MAP['TransportRsvpTePreference']) @TransportRsvpTePreference.setter def TransportRsvpTePreference(self, value): self._set_attribute(self._SDM_ATT_MAP['TransportRsvpTePreference'], value) @property def UseControlPlaneFrameSize(self): return self._get_attribute(self._SDM_ATT_MAP['UseControlPlaneFrameSize']) @UseControlPlaneFrameSize.setter def UseControlPlaneFrameSize(self, value): self._set_attribute(self._SDM_ATT_MAP['UseControlPlaneFrameSize'], value) @property def UseControlPlaneRate(self): return self._get_attribute(self._SDM_ATT_MAP['UseControlPlaneRate']) @UseControlPlaneRate.setter def UseControlPlaneRate(self, value): self._set_attribute(self._SDM_ATT_MAP['UseControlPlaneRate'], value) @property def Warnings(self): return self._get_attribute(self._SDM_ATT_MAP['Warnings']) def update(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None): return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) def add(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None): return self._create(self._map_locals(self._SDM_ATT_MAP, locals())) def remove(self): self._delete() def find(self, AllowSelfDestined=None, BiDirectional=None, EgressEnabled=None, EnableDynamicMplsLabelValues=None, EnableMacsecEgressOnlyAutoConfig=None, Enabled=None, Errors=None, FlowGroupCount=None, FrerDuplicateElimination=None, HasOpenFlow=None, HostsPerNetwork=None, InterAsBgpPreference=None, InterAsLdpPreference=None, LabelPreferences=None, MaxNumberOfVpnLabelStack=None, MergeDestinations=None, MulticastForwardingMode=None, Name=None, NumVlansForMulticastReplication=None, OrdinalNo=None, OriginatorType=None, RegenerateCount=None, RoundRobinPacketOrdering=None, RouteMesh=None, SrcDestMesh=None, State=None, Suspend=None, TrafficItemType=None, TrafficType=None, TransmitMode=None, TransportLdpPreference=None, TransportRsvpTePreference=None, UseControlPlaneFrameSize=None, UseControlPlaneRate=None, Warnings=None): return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): return self._read(href) def ConvertToRaw(self): payload = { "Arg1": self.href } return self._execute('convertToRaw', payload=payload, response_object=None) def Duplicate(self, *args, **kwargs): payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('duplicate', payload=payload, response_object=None) def DuplicateItems(self): payload = { "Arg1": self } return self._execute('duplicateItems', payload=payload, response_object=None) def Generate(self): payload = { "Arg1": self } return self._execute('generate', payload=payload, response_object=None) def PauseStatelessTraffic(self, *args, **kwargs): payload = { "Arg1": self } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('pauseStatelessTraffic', payload=payload, response_object=None) def ResolveAptixiaEndpoints(self): payload = { "Arg1": self } return self._execute('resolveAptixiaEndpoints', payload=payload, response_object=None) def StartDefaultLearning(self): payload = { "Arg1": self } return self._execute('startDefaultLearning', payload=payload, response_object=None) def StartLearning(self, *args, **kwargs): payload = { "Arg1": self } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('startLearning', payload=payload, response_object=None) def StartStatelessTraffic(self): payload = { "Arg1": self } return self._execute('startStatelessTraffic', payload=payload, response_object=None) def StartStatelessTrafficBlocking(self): payload = { "Arg1": self } return self._execute('startStatelessTrafficBlocking', payload=payload, response_object=None) def StopStatelessTraffic(self): payload = { "Arg1": self } return self._execute('stopStatelessTraffic', payload=payload, response_object=None) def StopStatelessTrafficBlocking(self): payload = { "Arg1": self } return self._execute('stopStatelessTrafficBlocking', payload=payload, response_object=None)

true

f73d1836dc7e1efb37ef8462febf2641fff639d7

353

py

Python

src/adafruit-circuitpython-bundle-4.x-mpy-20190713/examples/circuitplayground_light.py

mbaaba/solar_panel

42059d8c61320494ad1298065dbc50cd9b3bd51e

[ "MIT" ]

null

src/adafruit-circuitpython-bundle-4.x-mpy-20190713/examples/circuitplayground_light.py

mbaaba/solar_panel

42059d8c61320494ad1298065dbc50cd9b3bd51e

[ "MIT" ]

null

src/adafruit-circuitpython-bundle-4.x-mpy-20190713/examples/circuitplayground_light.py

mbaaba/solar_panel

42059d8c61320494ad1298065dbc50cd9b3bd51e

[ "MIT" ]

null

"""This example uses the light sensor on your CPX, located next to the picture of the eye. Try shining a flashlight on your CPX, or covering the light sensor with your finger to see the values increase and decrease.""" import time from adafruit_circuitplayground.express import cpx while True: print("Light:", cpx.light) time.sleep(1)

35.3

98

0.745042

import time from adafruit_circuitplayground.express import cpx while True: print("Light:", cpx.light) time.sleep(1)

true

f73d18f5dae6d8719eac2d33c9bce7865b8eb90e

401

py

Python

openslides/users/migrations/0012_user_auth_type.py

swilde/OpenSlides

23ae32a75892005632784652d108836d1ba09da9

[ "MIT" ]

3

2021-02-11T20:45:58.000Z

2022-02-09T21:59:42.000Z

openslides/users/migrations/0012_user_auth_type.py

swilde/OpenSlides

23ae32a75892005632784652d108836d1ba09da9

[ "MIT" ]

2

2021-11-02T15:48:16.000Z

2022-03-02T08:38:19.000Z

server/openslides/users/migrations/0012_user_auth_type.py

DLRG-Jugend-NDS/OpenSlides

03704e4852821ccd67fe23adb6e2c38b67d93732

[ "MIT" ]

3

2021-01-18T11:44:05.000Z

2022-01-19T16:00:23.000Z

# Generated by Django 2.2.4 on 2019-08-21 12:09 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("users", "0011_postgresql_auth_group_id_sequence")] operations = [ migrations.AddField( model_name="user", name="auth_type", field=models.CharField(default="default", max_length=64), ) ]

23.588235

72

0.640898

from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("users", "0011_postgresql_auth_group_id_sequence")] operations = [ migrations.AddField( model_name="user", name="auth_type", field=models.CharField(default="default", max_length=64), ) ]

true

f73d1972d37beccba0b567c5ef01ea3d09253d7f

10,866

py

Python

services/ui_backend_service/api/ws.py

runsascoded/metaflow-service

ac7770dfeae17fd060129d408fa3bb472fc00b86

[ "Apache-2.0" ]

null

services/ui_backend_service/api/ws.py

runsascoded/metaflow-service

ac7770dfeae17fd060129d408fa3bb472fc00b86

[ "Apache-2.0" ]

1

2022-01-13T23:46:05.000Z

services/ui_backend_service/api/ws.py

valayDave/metaflow-service

65e19aef268e9e707522ee0695fd4ebaee42aa69

[ "Apache-2.0" ]

null

import os import json import time import asyncio import collections from aiohttp import web, WSMsgType from typing import List, Dict, Any, Callable from .utils import resource_conditions, TTLQueue from services.utils import logging from pyee import AsyncIOEventEmitter from ..data.refiner import TaskRefiner, ArtifactRefiner from throttler import throttle_simultaneous WS_QUEUE_TTL_SECONDS = os.environ.get("WS_QUEUE_TTL_SECONDS", 60 * 5) # 5 minute TTL by default WS_POSTPROCESS_CONCURRENCY_LIMIT = int(os.environ.get("WS_POSTPROCESS_CONCURRENCY_LIMIT", 8)) SUBSCRIBE = 'SUBSCRIBE' UNSUBSCRIBE = 'UNSUBSCRIBE' WSSubscription = collections.namedtuple( "WSSubscription", "ws disconnected_ts fullpath resource query uuid filter") class Websocket(object): ''' Adds a '/ws' endpoint and support for broadcasting realtime resource events to subscribed frontend clients. Subscribe to runs created by user dipper: /runs?_tags=user:dipper 'uuid' can be used to identify specific subscription. Subscribe to future events: {"type": "SUBSCRIBE", "uuid": "myst3rySh4ck", "resource": "/runs"} Subscribing to future events and return past data since unix time (seconds): {"type": "SUBSCRIBE", "uuid": "myst3rySh4ck", "resource": "/runs", "since": 1602752197} Unsubscribe: {"type": "UNSUBSCRIBE", "uuid": "myst3rySh4ck"} Example event: {"type": "UPDATE", "uuid": "myst3rySh4ck", "resource": "/runs", "data": {"foo": "bar"}} ''' subscriptions: List[WSSubscription] = [] def __init__(self, app, db, event_emitter=None, queue_ttl: int = WS_QUEUE_TTL_SECONDS, cache=None): self.event_emitter = event_emitter or AsyncIOEventEmitter() self.db = db self.queue = TTLQueue(queue_ttl) self.task_refiner = TaskRefiner(cache=cache.artifact_cache) if cache else None self.artifact_refiner = ArtifactRefiner(cache=cache.artifact_cache) if cache else None self.logger = logging.getLogger("Websocket") event_emitter.on('notify', self.event_handler) app.router.add_route('GET', '/ws', self.websocket_handler) self.loop = asyncio.get_event_loop() async def event_handler(self, operation: str, resources: List[str], data: Dict, table_name: str = None, filter_dict: Dict = {}): """ Event handler for websocket events on 'notify'. Either receives raw data from table triggers listener and either performs a database load before broadcasting from the provided table, or receives predefined data and broadcasts it as-is. Parameters ---------- operation : str name of the operation related to the DB event, either 'INSERT' or 'UPDATE' resources : List[str] List of resource paths that this event is related to. Used strictly for broadcasting to websocket subscriptions data : Dict The data of the record to be broadcast. Can either be complete, or partial. In case of partial data (and a provided table name) this is only used for the DB query. table_name : str (optional) name of the table that the complete data should be queried from. filter_dict : Dict (optional) a dictionary of filters used in the query when fetching complete data. """ # Check if event needs to be broadcast (if anyone is subscribed to the resource) if any(subscription.resource in resources for subscription in self.subscriptions): # load the data and postprocessor for broadcasting if table # is provided (otherwise data has already been loaded in advance) if table_name: table = self.db.get_table_by_name(table_name) _postprocess = await self.get_table_postprocessor(table_name) _data = await load_data_from_db(table, data, filter_dict, postprocess=_postprocess) else: _data = data if not _data: # Skip sending this event to subscriptions in case data is None or empty. # This could be caused by insufficient/broken data and can break the UI. return # Append event to the queue so that we can later dispatch them in case of disconnections # # NOTE: server instance specific ws queue will not work when scaling across multiple instances. # but on the other hand loading data and pushing everything into the queue for every server instance is also # a suboptimal solution. await self.queue.append({ 'operation': operation, 'resources': resources, 'data': _data }) for subscription in self.subscriptions: try: if subscription.disconnected_ts and time.time() - subscription.disconnected_ts > WS_QUEUE_TTL_SECONDS: await self.unsubscribe_from(subscription.ws, subscription.uuid) else: await self._event_subscription(subscription, operation, resources, _data) except ConnectionResetError: self.logger.debug("Trying to broadcast to a stale subscription. Unsubscribing") await self.unsubscribe_from(subscription.ws, subscription.uuid) except Exception: self.logger.exception("Broadcasting to subscription failed") async def _event_subscription(self, subscription: WSSubscription, operation: str, resources: List[str], data: Dict): for resource in resources: if subscription.resource == resource: # Check if possible filters match this event # only if the subscription actually provided conditions. if subscription.filter: filters_match_request = subscription.filter(data) else: filters_match_request = True if filters_match_request: payload = {'type': operation, 'uuid': subscription.uuid, 'resource': resource, 'data': data} await subscription.ws.send_str(json.dumps(payload)) async def subscribe_to(self, ws, uuid: str, resource: str, since: int): # Always unsubscribe existing duplicate identifiers await self.unsubscribe_from(ws, uuid) # Create new subscription _resource, query, filter_fn = resource_conditions(resource) subscription = WSSubscription( ws=ws, fullpath=resource, resource=_resource, query=query, uuid=uuid, filter=filter_fn, disconnected_ts=None) self.subscriptions.append(subscription) # Send previous events that client might have missed due to disconnection if since: # Subtract 1 second to make sure all events are included event_queue = await self.queue.values_since(since) for _, event in event_queue: self.loop.create_task( self._event_subscription(subscription, event['operation'], event['resources'], event['data']) ) async def unsubscribe_from(self, ws, uuid: str = None): if uuid: self.subscriptions = list( filter(lambda s: uuid != s.uuid or ws != s.ws, self.subscriptions)) else: self.subscriptions = list( filter(lambda s: ws != s.ws, self.subscriptions)) async def handle_disconnect(self, ws): """ Sets disconnected timestamp on websocket subscription without removing it from the list. Removing is handled by event_handler that checks for expired subscriptions before emitting """ self.subscriptions = list( map( lambda sub: sub._replace(disconnected_ts=time.time()) if sub.ws == ws else sub, self.subscriptions) ) async def websocket_handler(self, request): "Handler for received messages from the open Web Socket connection." # TODO: Consider using options autoping=True and heartbeat=20 if supported by clients. ws = web.WebSocketResponse() await ws.prepare(request) while not ws.closed: async for msg in ws: if msg.type == WSMsgType.TEXT: try: # Custom ping message handling. # If someone is pinging, lets answer with pong rightaway. if msg.data == "__ping__": await ws.send_str("__pong__") else: payload = json.loads(msg.data) op_type = payload.get("type") resource = payload.get("resource") uuid = payload.get("uuid") since = payload.get("since") if since is not None and str(since).isnumeric(): since = int(since) else: since = None if op_type == SUBSCRIBE and uuid and resource: await self.subscribe_to(ws, uuid, resource, since) elif op_type == UNSUBSCRIBE and uuid: await self.unsubscribe_from(ws, uuid) except Exception: self.logger.exception("Exception occurred.") # Always remove clients from listeners await self.handle_disconnect(ws) return ws @throttle_simultaneous(count=8) async def get_table_postprocessor(self, table_name): if table_name == self.db.task_table_postgres.table_name: return self.task_refiner.postprocess elif table_name == self.db.artifact_table_postgres.table_name: return self.artifact_refiner.postprocess else: return None async def load_data_from_db(table, data: Dict[str, Any], filter_dict: Dict = {}, postprocess: Callable = None): # filter the data for loading based on available primary keys conditions_dict = { key: data[key] for key in table.primary_keys if key in data } filter_dict = {**conditions_dict, **filter_dict} conditions, values = [], [] for k, v in filter_dict.items(): conditions.append("{} = %s".format(k)) values.append(v) results, *_ = await table.find_records( conditions=conditions, values=values, fetch_single=True, enable_joins=True, expanded=True, postprocess=postprocess ) return results.body

45.275

132

0.61697

import os import json import time import asyncio import collections from aiohttp import web, WSMsgType from typing import List, Dict, Any, Callable from .utils import resource_conditions, TTLQueue from services.utils import logging from pyee import AsyncIOEventEmitter from ..data.refiner import TaskRefiner, ArtifactRefiner from throttler import throttle_simultaneous WS_QUEUE_TTL_SECONDS = os.environ.get("WS_QUEUE_TTL_SECONDS", 60 * 5) WS_POSTPROCESS_CONCURRENCY_LIMIT = int(os.environ.get("WS_POSTPROCESS_CONCURRENCY_LIMIT", 8)) SUBSCRIBE = 'SUBSCRIBE' UNSUBSCRIBE = 'UNSUBSCRIBE' WSSubscription = collections.namedtuple( "WSSubscription", "ws disconnected_ts fullpath resource query uuid filter") class Websocket(object): subscriptions: List[WSSubscription] = [] def __init__(self, app, db, event_emitter=None, queue_ttl: int = WS_QUEUE_TTL_SECONDS, cache=None): self.event_emitter = event_emitter or AsyncIOEventEmitter() self.db = db self.queue = TTLQueue(queue_ttl) self.task_refiner = TaskRefiner(cache=cache.artifact_cache) if cache else None self.artifact_refiner = ArtifactRefiner(cache=cache.artifact_cache) if cache else None self.logger = logging.getLogger("Websocket") event_emitter.on('notify', self.event_handler) app.router.add_route('GET', '/ws', self.websocket_handler) self.loop = asyncio.get_event_loop() async def event_handler(self, operation: str, resources: List[str], data: Dict, table_name: str = None, filter_dict: Dict = {}): if any(subscription.resource in resources for subscription in self.subscriptions): if table_name: table = self.db.get_table_by_name(table_name) _postprocess = await self.get_table_postprocessor(table_name) _data = await load_data_from_db(table, data, filter_dict, postprocess=_postprocess) else: _data = data if not _data: return await self.queue.append({ 'operation': operation, 'resources': resources, 'data': _data }) for subscription in self.subscriptions: try: if subscription.disconnected_ts and time.time() - subscription.disconnected_ts > WS_QUEUE_TTL_SECONDS: await self.unsubscribe_from(subscription.ws, subscription.uuid) else: await self._event_subscription(subscription, operation, resources, _data) except ConnectionResetError: self.logger.debug("Trying to broadcast to a stale subscription. Unsubscribing") await self.unsubscribe_from(subscription.ws, subscription.uuid) except Exception: self.logger.exception("Broadcasting to subscription failed") async def _event_subscription(self, subscription: WSSubscription, operation: str, resources: List[str], data: Dict): for resource in resources: if subscription.resource == resource: if subscription.filter: filters_match_request = subscription.filter(data) else: filters_match_request = True if filters_match_request: payload = {'type': operation, 'uuid': subscription.uuid, 'resource': resource, 'data': data} await subscription.ws.send_str(json.dumps(payload)) async def subscribe_to(self, ws, uuid: str, resource: str, since: int): await self.unsubscribe_from(ws, uuid) _resource, query, filter_fn = resource_conditions(resource) subscription = WSSubscription( ws=ws, fullpath=resource, resource=_resource, query=query, uuid=uuid, filter=filter_fn, disconnected_ts=None) self.subscriptions.append(subscription) if since: event_queue = await self.queue.values_since(since) for _, event in event_queue: self.loop.create_task( self._event_subscription(subscription, event['operation'], event['resources'], event['data']) ) async def unsubscribe_from(self, ws, uuid: str = None): if uuid: self.subscriptions = list( filter(lambda s: uuid != s.uuid or ws != s.ws, self.subscriptions)) else: self.subscriptions = list( filter(lambda s: ws != s.ws, self.subscriptions)) async def handle_disconnect(self, ws): self.subscriptions = list( map( lambda sub: sub._replace(disconnected_ts=time.time()) if sub.ws == ws else sub, self.subscriptions) ) async def websocket_handler(self, request): ws = web.WebSocketResponse() await ws.prepare(request) while not ws.closed: async for msg in ws: if msg.type == WSMsgType.TEXT: try: if msg.data == "__ping__": await ws.send_str("__pong__") else: payload = json.loads(msg.data) op_type = payload.get("type") resource = payload.get("resource") uuid = payload.get("uuid") since = payload.get("since") if since is not None and str(since).isnumeric(): since = int(since) else: since = None if op_type == SUBSCRIBE and uuid and resource: await self.subscribe_to(ws, uuid, resource, since) elif op_type == UNSUBSCRIBE and uuid: await self.unsubscribe_from(ws, uuid) except Exception: self.logger.exception("Exception occurred.") await self.handle_disconnect(ws) return ws @throttle_simultaneous(count=8) async def get_table_postprocessor(self, table_name): if table_name == self.db.task_table_postgres.table_name: return self.task_refiner.postprocess elif table_name == self.db.artifact_table_postgres.table_name: return self.artifact_refiner.postprocess else: return None async def load_data_from_db(table, data: Dict[str, Any], filter_dict: Dict = {}, postprocess: Callable = None): conditions_dict = { key: data[key] for key in table.primary_keys if key in data } filter_dict = {**conditions_dict, **filter_dict} conditions, values = [], [] for k, v in filter_dict.items(): conditions.append("{} = %s".format(k)) values.append(v) results, *_ = await table.find_records( conditions=conditions, values=values, fetch_single=True, enable_joins=True, expanded=True, postprocess=postprocess ) return results.body

true

f73d1b6f0a863cbf844b200b6f9bfbc5c66038a3

1,845

py

Python

ooobuild/dyn/script/finish_reason.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/dyn/script/finish_reason.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/dyn/script/finish_reason.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # 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 License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Enum Class # this is a auto generated file generated by Cheetah # Namespace: com.sun.star.script # Libre Office Version: 7.3 from typing import TYPE_CHECKING from ooo.oenv.env_const import UNO_ENVIRONMENT, UNO_RUNTIME _DYNAMIC = False if (not TYPE_CHECKING) and UNO_RUNTIME and UNO_ENVIRONMENT: _DYNAMIC = True if not TYPE_CHECKING and _DYNAMIC: from ooo.helper.enum_helper import uno_enum_class_new from com.sun.star.script.FinishReason import (Cancel, Error, OK) def _get_enum(): # Dynamically create class that actually contains UNO enum instances _dict = { "__doc__": "Dynamically created class that represents com.sun.star.script.FinishReason Enum. Class loosly mimics Enum", "__new__": uno_enum_class_new, "__ooo_ns__": "com.sun.star.script", "__ooo_full_ns__": "com.sun.star.script.FinishReason", "__ooo_type_name__": "enum", "Cancel": Cancel, "Error": Error, "OK": OK, } result = type('FinishReason', (object,), _dict) return result FinishReason = _get_enum() else: from ...lo.script.finish_reason import FinishReason as FinishReason __all__ = ['FinishReason']

35.480769

131

0.702981

from typing import TYPE_CHECKING from ooo.oenv.env_const import UNO_ENVIRONMENT, UNO_RUNTIME _DYNAMIC = False if (not TYPE_CHECKING) and UNO_RUNTIME and UNO_ENVIRONMENT: _DYNAMIC = True if not TYPE_CHECKING and _DYNAMIC: from ooo.helper.enum_helper import uno_enum_class_new from com.sun.star.script.FinishReason import (Cancel, Error, OK) def _get_enum(): _dict = { "__doc__": "Dynamically created class that represents com.sun.star.script.FinishReason Enum. Class loosly mimics Enum", "__new__": uno_enum_class_new, "__ooo_ns__": "com.sun.star.script", "__ooo_full_ns__": "com.sun.star.script.FinishReason", "__ooo_type_name__": "enum", "Cancel": Cancel, "Error": Error, "OK": OK, } result = type('FinishReason', (object,), _dict) return result FinishReason = _get_enum() else: from ...lo.script.finish_reason import FinishReason as FinishReason __all__ = ['FinishReason']

true

f73d1ce0c34183a433022f4bce2769a6211ba93a

133,829

py

Python

google_appengine/google/appengine/datastore/entity_pb.py

katoakira/python_study

7ee7f3658129a918f97067be5c087ef340cc2b0b

[ "MIT" ]

null

google_appengine/google/appengine/datastore/entity_pb.py

katoakira/python_study

7ee7f3658129a918f97067be5c087ef340cc2b0b

[ "MIT" ]

null

google_appengine/google/appengine/datastore/entity_pb.py

katoakira/python_study

7ee7f3658129a918f97067be5c087ef340cc2b0b

[ "MIT" ]

2

2020-07-25T05:03:06.000Z

2020-11-04T04:55:57.000Z

#!/usr/bin/env python # # Copyright 2007 Google 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 writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from google.net.proto import ProtocolBuffer import array import dummy_thread as thread __pychecker__ = """maxreturns=0 maxbranches=0 no-callinit unusednames=printElemNumber,debug_strs no-special""" if hasattr(ProtocolBuffer, 'ExtendableProtocolMessage'): _extension_runtime = True _ExtendableProtocolMessage = ProtocolBuffer.ExtendableProtocolMessage else: _extension_runtime = False _ExtendableProtocolMessage = ProtocolBuffer.ProtocolMessage class PropertyValue_ReferenceValuePathElement(ProtocolBuffer.ProtocolMessage): has_type_ = 0 type_ = "" has_id_ = 0 id_ = 0 has_name_ = 0 name_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def type(self): return self.type_ def set_type(self, x): self.has_type_ = 1 self.type_ = x def clear_type(self): if self.has_type_: self.has_type_ = 0 self.type_ = "" def has_type(self): return self.has_type_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def MergeFrom(self, x): assert x is not self if (x.has_type()): self.set_type(x.type()) if (x.has_id()): self.set_id(x.id()) if (x.has_name()): self.set_name(x.name()) def Equals(self, x): if x is self: return 1 if self.has_type_ != x.has_type_: return 0 if self.has_type_ and self.type_ != x.type_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: type not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 2 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 2 + self.lengthString(len(self.name_)) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_type_): n += 1 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 2 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 2 + self.lengthString(len(self.name_)) return n def Clear(self): self.clear_type() self.clear_id() self.clear_name() def OutputUnchecked(self, out): out.putVarInt32(122) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(128) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(138) out.putPrefixedString(self.name_) def OutputPartial(self, out): if (self.has_type_): out.putVarInt32(122) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(128) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(138) out.putPrefixedString(self.name_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 116: break if tt == 122: self.set_type(d.getPrefixedString()) continue if tt == 128: self.set_id(d.getVarInt64()) continue if tt == 138: self.set_name(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_type_: res+=prefix+("type: %s\n" % self.DebugFormatString(self.type_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) return res class PropertyValue_PointValue(ProtocolBuffer.ProtocolMessage): has_x_ = 0 x_ = 0.0 has_y_ = 0 y_ = 0.0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def x(self): return self.x_ def set_x(self, x): self.has_x_ = 1 self.x_ = x def clear_x(self): if self.has_x_: self.has_x_ = 0 self.x_ = 0.0 def has_x(self): return self.has_x_ def y(self): return self.y_ def set_y(self, x): self.has_y_ = 1 self.y_ = x def clear_y(self): if self.has_y_: self.has_y_ = 0 self.y_ = 0.0 def has_y(self): return self.has_y_ def MergeFrom(self, x): assert x is not self if (x.has_x()): self.set_x(x.x()) if (x.has_y()): self.set_y(x.y()) def Equals(self, x): if x is self: return 1 if self.has_x_ != x.has_x_: return 0 if self.has_x_ and self.x_ != x.x_: return 0 if self.has_y_ != x.has_y_: return 0 if self.has_y_ and self.y_ != x.y_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_x_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: x not set.') if (not self.has_y_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: y not set.') return initialized def ByteSize(self): n = 0 return n + 18 def ByteSizePartial(self): n = 0 if (self.has_x_): n += 9 if (self.has_y_): n += 9 return n def Clear(self): self.clear_x() self.clear_y() def OutputUnchecked(self, out): out.putVarInt32(49) out.putDouble(self.x_) out.putVarInt32(57) out.putDouble(self.y_) def OutputPartial(self, out): if (self.has_x_): out.putVarInt32(49) out.putDouble(self.x_) if (self.has_y_): out.putVarInt32(57) out.putDouble(self.y_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 44: break if tt == 49: self.set_x(d.getDouble()) continue if tt == 57: self.set_y(d.getDouble()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_x_: res+=prefix+("x: %s\n" % self.DebugFormat(self.x_)) if self.has_y_: res+=prefix+("y: %s\n" % self.DebugFormat(self.y_)) return res class PropertyValue_UserValue(ProtocolBuffer.ProtocolMessage): has_email_ = 0 email_ = "" has_auth_domain_ = 0 auth_domain_ = "" has_nickname_ = 0 nickname_ = "" has_gaiaid_ = 0 gaiaid_ = 0 has_obfuscated_gaiaid_ = 0 obfuscated_gaiaid_ = "" has_federated_identity_ = 0 federated_identity_ = "" has_federated_provider_ = 0 federated_provider_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def email(self): return self.email_ def set_email(self, x): self.has_email_ = 1 self.email_ = x def clear_email(self): if self.has_email_: self.has_email_ = 0 self.email_ = "" def has_email(self): return self.has_email_ def auth_domain(self): return self.auth_domain_ def set_auth_domain(self, x): self.has_auth_domain_ = 1 self.auth_domain_ = x def clear_auth_domain(self): if self.has_auth_domain_: self.has_auth_domain_ = 0 self.auth_domain_ = "" def has_auth_domain(self): return self.has_auth_domain_ def nickname(self): return self.nickname_ def set_nickname(self, x): self.has_nickname_ = 1 self.nickname_ = x def clear_nickname(self): if self.has_nickname_: self.has_nickname_ = 0 self.nickname_ = "" def has_nickname(self): return self.has_nickname_ def gaiaid(self): return self.gaiaid_ def set_gaiaid(self, x): self.has_gaiaid_ = 1 self.gaiaid_ = x def clear_gaiaid(self): if self.has_gaiaid_: self.has_gaiaid_ = 0 self.gaiaid_ = 0 def has_gaiaid(self): return self.has_gaiaid_ def obfuscated_gaiaid(self): return self.obfuscated_gaiaid_ def set_obfuscated_gaiaid(self, x): self.has_obfuscated_gaiaid_ = 1 self.obfuscated_gaiaid_ = x def clear_obfuscated_gaiaid(self): if self.has_obfuscated_gaiaid_: self.has_obfuscated_gaiaid_ = 0 self.obfuscated_gaiaid_ = "" def has_obfuscated_gaiaid(self): return self.has_obfuscated_gaiaid_ def federated_identity(self): return self.federated_identity_ def set_federated_identity(self, x): self.has_federated_identity_ = 1 self.federated_identity_ = x def clear_federated_identity(self): if self.has_federated_identity_: self.has_federated_identity_ = 0 self.federated_identity_ = "" def has_federated_identity(self): return self.has_federated_identity_ def federated_provider(self): return self.federated_provider_ def set_federated_provider(self, x): self.has_federated_provider_ = 1 self.federated_provider_ = x def clear_federated_provider(self): if self.has_federated_provider_: self.has_federated_provider_ = 0 self.federated_provider_ = "" def has_federated_provider(self): return self.has_federated_provider_ def MergeFrom(self, x): assert x is not self if (x.has_email()): self.set_email(x.email()) if (x.has_auth_domain()): self.set_auth_domain(x.auth_domain()) if (x.has_nickname()): self.set_nickname(x.nickname()) if (x.has_gaiaid()): self.set_gaiaid(x.gaiaid()) if (x.has_obfuscated_gaiaid()): self.set_obfuscated_gaiaid(x.obfuscated_gaiaid()) if (x.has_federated_identity()): self.set_federated_identity(x.federated_identity()) if (x.has_federated_provider()): self.set_federated_provider(x.federated_provider()) def Equals(self, x): if x is self: return 1 if self.has_email_ != x.has_email_: return 0 if self.has_email_ and self.email_ != x.email_: return 0 if self.has_auth_domain_ != x.has_auth_domain_: return 0 if self.has_auth_domain_ and self.auth_domain_ != x.auth_domain_: return 0 if self.has_nickname_ != x.has_nickname_: return 0 if self.has_nickname_ and self.nickname_ != x.nickname_: return 0 if self.has_gaiaid_ != x.has_gaiaid_: return 0 if self.has_gaiaid_ and self.gaiaid_ != x.gaiaid_: return 0 if self.has_obfuscated_gaiaid_ != x.has_obfuscated_gaiaid_: return 0 if self.has_obfuscated_gaiaid_ and self.obfuscated_gaiaid_ != x.obfuscated_gaiaid_: return 0 if self.has_federated_identity_ != x.has_federated_identity_: return 0 if self.has_federated_identity_ and self.federated_identity_ != x.federated_identity_: return 0 if self.has_federated_provider_ != x.has_federated_provider_: return 0 if self.has_federated_provider_ and self.federated_provider_ != x.federated_provider_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_email_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: email not set.') if (not self.has_auth_domain_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: auth_domain not set.') if (not self.has_gaiaid_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: gaiaid not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.email_)) n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 2 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 2 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 2 + self.lengthString(len(self.federated_provider_)) return n + 4 def ByteSizePartial(self): n = 0 if (self.has_email_): n += 1 n += self.lengthString(len(self.email_)) if (self.has_auth_domain_): n += 1 n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) if (self.has_gaiaid_): n += 2 n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 2 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 2 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 2 + self.lengthString(len(self.federated_provider_)) return n def Clear(self): self.clear_email() self.clear_auth_domain() self.clear_nickname() self.clear_gaiaid() self.clear_obfuscated_gaiaid() self.clear_federated_identity() self.clear_federated_provider() def OutputUnchecked(self, out): out.putVarInt32(74) out.putPrefixedString(self.email_) out.putVarInt32(82) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(90) out.putPrefixedString(self.nickname_) out.putVarInt32(144) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(154) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(170) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(178) out.putPrefixedString(self.federated_provider_) def OutputPartial(self, out): if (self.has_email_): out.putVarInt32(74) out.putPrefixedString(self.email_) if (self.has_auth_domain_): out.putVarInt32(82) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(90) out.putPrefixedString(self.nickname_) if (self.has_gaiaid_): out.putVarInt32(144) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(154) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(170) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(178) out.putPrefixedString(self.federated_provider_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 68: break if tt == 74: self.set_email(d.getPrefixedString()) continue if tt == 82: self.set_auth_domain(d.getPrefixedString()) continue if tt == 90: self.set_nickname(d.getPrefixedString()) continue if tt == 144: self.set_gaiaid(d.getVarInt64()) continue if tt == 154: self.set_obfuscated_gaiaid(d.getPrefixedString()) continue if tt == 170: self.set_federated_identity(d.getPrefixedString()) continue if tt == 178: self.set_federated_provider(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_email_: res+=prefix+("email: %s\n" % self.DebugFormatString(self.email_)) if self.has_auth_domain_: res+=prefix+("auth_domain: %s\n" % self.DebugFormatString(self.auth_domain_)) if self.has_nickname_: res+=prefix+("nickname: %s\n" % self.DebugFormatString(self.nickname_)) if self.has_gaiaid_: res+=prefix+("gaiaid: %s\n" % self.DebugFormatInt64(self.gaiaid_)) if self.has_obfuscated_gaiaid_: res+=prefix+("obfuscated_gaiaid: %s\n" % self.DebugFormatString(self.obfuscated_gaiaid_)) if self.has_federated_identity_: res+=prefix+("federated_identity: %s\n" % self.DebugFormatString(self.federated_identity_)) if self.has_federated_provider_: res+=prefix+("federated_provider: %s\n" % self.DebugFormatString(self.federated_provider_)) return res class PropertyValue_ReferenceValue(ProtocolBuffer.ProtocolMessage): has_app_ = 0 app_ = "" has_name_space_ = 0 name_space_ = "" def __init__(self, contents=None): self.pathelement_ = [] if contents is not None: self.MergeFromString(contents) def app(self): return self.app_ def set_app(self, x): self.has_app_ = 1 self.app_ = x def clear_app(self): if self.has_app_: self.has_app_ = 0 self.app_ = "" def has_app(self): return self.has_app_ def name_space(self): return self.name_space_ def set_name_space(self, x): self.has_name_space_ = 1 self.name_space_ = x def clear_name_space(self): if self.has_name_space_: self.has_name_space_ = 0 self.name_space_ = "" def has_name_space(self): return self.has_name_space_ def pathelement_size(self): return len(self.pathelement_) def pathelement_list(self): return self.pathelement_ def pathelement(self, i): return self.pathelement_[i] def mutable_pathelement(self, i): return self.pathelement_[i] def add_pathelement(self): x = PropertyValue_ReferenceValuePathElement() self.pathelement_.append(x) return x def clear_pathelement(self): self.pathelement_ = [] def MergeFrom(self, x): assert x is not self if (x.has_app()): self.set_app(x.app()) if (x.has_name_space()): self.set_name_space(x.name_space()) for i in xrange(x.pathelement_size()): self.add_pathelement().CopyFrom(x.pathelement(i)) def Equals(self, x): if x is self: return 1 if self.has_app_ != x.has_app_: return 0 if self.has_app_ and self.app_ != x.app_: return 0 if self.has_name_space_ != x.has_name_space_: return 0 if self.has_name_space_ and self.name_space_ != x.name_space_: return 0 if len(self.pathelement_) != len(x.pathelement_): return 0 for e1, e2 in zip(self.pathelement_, x.pathelement_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app not set.') for p in self.pathelement_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += 2 * len(self.pathelement_) for i in xrange(len(self.pathelement_)): n += self.pathelement_[i].ByteSize() return n + 1 def ByteSizePartial(self): n = 0 if (self.has_app_): n += 1 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += 2 * len(self.pathelement_) for i in xrange(len(self.pathelement_)): n += self.pathelement_[i].ByteSizePartial() return n def Clear(self): self.clear_app() self.clear_name_space() self.clear_pathelement() def OutputUnchecked(self, out): out.putVarInt32(106) out.putPrefixedString(self.app_) for i in xrange(len(self.pathelement_)): out.putVarInt32(115) self.pathelement_[i].OutputUnchecked(out) out.putVarInt32(116) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def OutputPartial(self, out): if (self.has_app_): out.putVarInt32(106) out.putPrefixedString(self.app_) for i in xrange(len(self.pathelement_)): out.putVarInt32(115) self.pathelement_[i].OutputPartial(out) out.putVarInt32(116) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 100: break if tt == 106: self.set_app(d.getPrefixedString()) continue if tt == 115: self.add_pathelement().TryMerge(d) continue if tt == 162: self.set_name_space(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_: res+=prefix+("app: %s\n" % self.DebugFormatString(self.app_)) if self.has_name_space_: res+=prefix+("name_space: %s\n" % self.DebugFormatString(self.name_space_)) cnt=0 for e in self.pathelement_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("PathElement%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res class PropertyValue(ProtocolBuffer.ProtocolMessage): has_int64value_ = 0 int64value_ = 0 has_booleanvalue_ = 0 booleanvalue_ = 0 has_stringvalue_ = 0 stringvalue_ = "" has_doublevalue_ = 0 doublevalue_ = 0.0 has_pointvalue_ = 0 pointvalue_ = None has_uservalue_ = 0 uservalue_ = None has_referencevalue_ = 0 referencevalue_ = None def __init__(self, contents=None): self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def int64value(self): return self.int64value_ def set_int64value(self, x): self.has_int64value_ = 1 self.int64value_ = x def clear_int64value(self): if self.has_int64value_: self.has_int64value_ = 0 self.int64value_ = 0 def has_int64value(self): return self.has_int64value_ def booleanvalue(self): return self.booleanvalue_ def set_booleanvalue(self, x): self.has_booleanvalue_ = 1 self.booleanvalue_ = x def clear_booleanvalue(self): if self.has_booleanvalue_: self.has_booleanvalue_ = 0 self.booleanvalue_ = 0 def has_booleanvalue(self): return self.has_booleanvalue_ def stringvalue(self): return self.stringvalue_ def set_stringvalue(self, x): self.has_stringvalue_ = 1 self.stringvalue_ = x def clear_stringvalue(self): if self.has_stringvalue_: self.has_stringvalue_ = 0 self.stringvalue_ = "" def has_stringvalue(self): return self.has_stringvalue_ def doublevalue(self): return self.doublevalue_ def set_doublevalue(self, x): self.has_doublevalue_ = 1 self.doublevalue_ = x def clear_doublevalue(self): if self.has_doublevalue_: self.has_doublevalue_ = 0 self.doublevalue_ = 0.0 def has_doublevalue(self): return self.has_doublevalue_ def pointvalue(self): if self.pointvalue_ is None: self.lazy_init_lock_.acquire() try: if self.pointvalue_ is None: self.pointvalue_ = PropertyValue_PointValue() finally: self.lazy_init_lock_.release() return self.pointvalue_ def mutable_pointvalue(self): self.has_pointvalue_ = 1; return self.pointvalue() def clear_pointvalue(self): if self.has_pointvalue_: self.has_pointvalue_ = 0; if self.pointvalue_ is not None: self.pointvalue_.Clear() def has_pointvalue(self): return self.has_pointvalue_ def uservalue(self): if self.uservalue_ is None: self.lazy_init_lock_.acquire() try: if self.uservalue_ is None: self.uservalue_ = PropertyValue_UserValue() finally: self.lazy_init_lock_.release() return self.uservalue_ def mutable_uservalue(self): self.has_uservalue_ = 1; return self.uservalue() def clear_uservalue(self): if self.has_uservalue_: self.has_uservalue_ = 0; if self.uservalue_ is not None: self.uservalue_.Clear() def has_uservalue(self): return self.has_uservalue_ def referencevalue(self): if self.referencevalue_ is None: self.lazy_init_lock_.acquire() try: if self.referencevalue_ is None: self.referencevalue_ = PropertyValue_ReferenceValue() finally: self.lazy_init_lock_.release() return self.referencevalue_ def mutable_referencevalue(self): self.has_referencevalue_ = 1; return self.referencevalue() def clear_referencevalue(self): if self.has_referencevalue_: self.has_referencevalue_ = 0; if self.referencevalue_ is not None: self.referencevalue_.Clear() def has_referencevalue(self): return self.has_referencevalue_ def MergeFrom(self, x): assert x is not self if (x.has_int64value()): self.set_int64value(x.int64value()) if (x.has_booleanvalue()): self.set_booleanvalue(x.booleanvalue()) if (x.has_stringvalue()): self.set_stringvalue(x.stringvalue()) if (x.has_doublevalue()): self.set_doublevalue(x.doublevalue()) if (x.has_pointvalue()): self.mutable_pointvalue().MergeFrom(x.pointvalue()) if (x.has_uservalue()): self.mutable_uservalue().MergeFrom(x.uservalue()) if (x.has_referencevalue()): self.mutable_referencevalue().MergeFrom(x.referencevalue()) def Equals(self, x): if x is self: return 1 if self.has_int64value_ != x.has_int64value_: return 0 if self.has_int64value_ and self.int64value_ != x.int64value_: return 0 if self.has_booleanvalue_ != x.has_booleanvalue_: return 0 if self.has_booleanvalue_ and self.booleanvalue_ != x.booleanvalue_: return 0 if self.has_stringvalue_ != x.has_stringvalue_: return 0 if self.has_stringvalue_ and self.stringvalue_ != x.stringvalue_: return 0 if self.has_doublevalue_ != x.has_doublevalue_: return 0 if self.has_doublevalue_ and self.doublevalue_ != x.doublevalue_: return 0 if self.has_pointvalue_ != x.has_pointvalue_: return 0 if self.has_pointvalue_ and self.pointvalue_ != x.pointvalue_: return 0 if self.has_uservalue_ != x.has_uservalue_: return 0 if self.has_uservalue_ and self.uservalue_ != x.uservalue_: return 0 if self.has_referencevalue_ != x.has_referencevalue_: return 0 if self.has_referencevalue_ and self.referencevalue_ != x.referencevalue_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (self.has_pointvalue_ and not self.pointvalue_.IsInitialized(debug_strs)): initialized = 0 if (self.has_uservalue_ and not self.uservalue_.IsInitialized(debug_strs)): initialized = 0 if (self.has_referencevalue_ and not self.referencevalue_.IsInitialized(debug_strs)): initialized = 0 return initialized def ByteSize(self): n = 0 if (self.has_int64value_): n += 1 + self.lengthVarInt64(self.int64value_) if (self.has_booleanvalue_): n += 2 if (self.has_stringvalue_): n += 1 + self.lengthString(len(self.stringvalue_)) if (self.has_doublevalue_): n += 9 if (self.has_pointvalue_): n += 2 + self.pointvalue_.ByteSize() if (self.has_uservalue_): n += 2 + self.uservalue_.ByteSize() if (self.has_referencevalue_): n += 2 + self.referencevalue_.ByteSize() return n def ByteSizePartial(self): n = 0 if (self.has_int64value_): n += 1 + self.lengthVarInt64(self.int64value_) if (self.has_booleanvalue_): n += 2 if (self.has_stringvalue_): n += 1 + self.lengthString(len(self.stringvalue_)) if (self.has_doublevalue_): n += 9 if (self.has_pointvalue_): n += 2 + self.pointvalue_.ByteSizePartial() if (self.has_uservalue_): n += 2 + self.uservalue_.ByteSizePartial() if (self.has_referencevalue_): n += 2 + self.referencevalue_.ByteSizePartial() return n def Clear(self): self.clear_int64value() self.clear_booleanvalue() self.clear_stringvalue() self.clear_doublevalue() self.clear_pointvalue() self.clear_uservalue() self.clear_referencevalue() def OutputUnchecked(self, out): if (self.has_int64value_): out.putVarInt32(8) out.putVarInt64(self.int64value_) if (self.has_booleanvalue_): out.putVarInt32(16) out.putBoolean(self.booleanvalue_) if (self.has_stringvalue_): out.putVarInt32(26) out.putPrefixedString(self.stringvalue_) if (self.has_doublevalue_): out.putVarInt32(33) out.putDouble(self.doublevalue_) if (self.has_pointvalue_): out.putVarInt32(43) self.pointvalue_.OutputUnchecked(out) out.putVarInt32(44) if (self.has_uservalue_): out.putVarInt32(67) self.uservalue_.OutputUnchecked(out) out.putVarInt32(68) if (self.has_referencevalue_): out.putVarInt32(99) self.referencevalue_.OutputUnchecked(out) out.putVarInt32(100) def OutputPartial(self, out): if (self.has_int64value_): out.putVarInt32(8) out.putVarInt64(self.int64value_) if (self.has_booleanvalue_): out.putVarInt32(16) out.putBoolean(self.booleanvalue_) if (self.has_stringvalue_): out.putVarInt32(26) out.putPrefixedString(self.stringvalue_) if (self.has_doublevalue_): out.putVarInt32(33) out.putDouble(self.doublevalue_) if (self.has_pointvalue_): out.putVarInt32(43) self.pointvalue_.OutputPartial(out) out.putVarInt32(44) if (self.has_uservalue_): out.putVarInt32(67) self.uservalue_.OutputPartial(out) out.putVarInt32(68) if (self.has_referencevalue_): out.putVarInt32(99) self.referencevalue_.OutputPartial(out) out.putVarInt32(100) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_int64value(d.getVarInt64()) continue if tt == 16: self.set_booleanvalue(d.getBoolean()) continue if tt == 26: self.set_stringvalue(d.getPrefixedString()) continue if tt == 33: self.set_doublevalue(d.getDouble()) continue if tt == 43: self.mutable_pointvalue().TryMerge(d) continue if tt == 67: self.mutable_uservalue().TryMerge(d) continue if tt == 99: self.mutable_referencevalue().TryMerge(d) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_int64value_: res+=prefix+("int64Value: %s\n" % self.DebugFormatInt64(self.int64value_)) if self.has_booleanvalue_: res+=prefix+("booleanValue: %s\n" % self.DebugFormatBool(self.booleanvalue_)) if self.has_stringvalue_: res+=prefix+("stringValue: %s\n" % self.DebugFormatString(self.stringvalue_)) if self.has_doublevalue_: res+=prefix+("doubleValue: %s\n" % self.DebugFormat(self.doublevalue_)) if self.has_pointvalue_: res+=prefix+"PointValue {\n" res+=self.pointvalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" if self.has_uservalue_: res+=prefix+"UserValue {\n" res+=self.uservalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" if self.has_referencevalue_: res+=prefix+"ReferenceValue {\n" res+=self.referencevalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kint64Value = 1 kbooleanValue = 2 kstringValue = 3 kdoubleValue = 4 kPointValueGroup = 5 kPointValuex = 6 kPointValuey = 7 kUserValueGroup = 8 kUserValueemail = 9 kUserValueauth_domain = 10 kUserValuenickname = 11 kUserValuegaiaid = 18 kUserValueobfuscated_gaiaid = 19 kUserValuefederated_identity = 21 kUserValuefederated_provider = 22 kReferenceValueGroup = 12 kReferenceValueapp = 13 kReferenceValuename_space = 20 kReferenceValuePathElementGroup = 14 kReferenceValuePathElementtype = 15 kReferenceValuePathElementid = 16 kReferenceValuePathElementname = 17 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "int64Value", 2: "booleanValue", 3: "stringValue", 4: "doubleValue", 5: "PointValue", 6: "x", 7: "y", 8: "UserValue", 9: "email", 10: "auth_domain", 11: "nickname", 12: "ReferenceValue", 13: "app", 14: "PathElement", 15: "type", 16: "id", 17: "name", 18: "gaiaid", 19: "obfuscated_gaiaid", 20: "name_space", 21: "federated_identity", 22: "federated_provider", }, 22) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.DOUBLE, 5: ProtocolBuffer.Encoder.STARTGROUP, 6: ProtocolBuffer.Encoder.DOUBLE, 7: ProtocolBuffer.Encoder.DOUBLE, 8: ProtocolBuffer.Encoder.STARTGROUP, 9: ProtocolBuffer.Encoder.STRING, 10: ProtocolBuffer.Encoder.STRING, 11: ProtocolBuffer.Encoder.STRING, 12: ProtocolBuffer.Encoder.STARTGROUP, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STARTGROUP, 15: ProtocolBuffer.Encoder.STRING, 16: ProtocolBuffer.Encoder.NUMERIC, 17: ProtocolBuffer.Encoder.STRING, 18: ProtocolBuffer.Encoder.NUMERIC, 19: ProtocolBuffer.Encoder.STRING, 20: ProtocolBuffer.Encoder.STRING, 21: ProtocolBuffer.Encoder.STRING, 22: ProtocolBuffer.Encoder.STRING, }, 22, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.PropertyValue' class Property(ProtocolBuffer.ProtocolMessage): NO_MEANING = 0 BLOB = 14 TEXT = 15 BYTESTRING = 16 ATOM_CATEGORY = 1 ATOM_LINK = 2 ATOM_TITLE = 3 ATOM_CONTENT = 4 ATOM_SUMMARY = 5 ATOM_AUTHOR = 6 GD_WHEN = 7 GD_EMAIL = 8 GEORSS_POINT = 9 GD_IM = 10 GD_PHONENUMBER = 11 GD_POSTALADDRESS = 12 GD_RATING = 13 BLOBKEY = 17 ENTITY_PROTO = 19 INDEX_VALUE = 18 _Meaning_NAMES = { 0: "NO_MEANING", 14: "BLOB", 15: "TEXT", 16: "BYTESTRING", 1: "ATOM_CATEGORY", 2: "ATOM_LINK", 3: "ATOM_TITLE", 4: "ATOM_CONTENT", 5: "ATOM_SUMMARY", 6: "ATOM_AUTHOR", 7: "GD_WHEN", 8: "GD_EMAIL", 9: "GEORSS_POINT", 10: "GD_IM", 11: "GD_PHONENUMBER", 12: "GD_POSTALADDRESS", 13: "GD_RATING", 17: "BLOBKEY", 19: "ENTITY_PROTO", 18: "INDEX_VALUE", } def Meaning_Name(cls, x): return cls._Meaning_NAMES.get(x, "") Meaning_Name = classmethod(Meaning_Name) has_meaning_ = 0 meaning_ = 0 has_meaning_uri_ = 0 meaning_uri_ = "" has_name_ = 0 name_ = "" has_value_ = 0 has_multiple_ = 0 multiple_ = 0 has_embedded_ = 0 embedded_ = 0 def __init__(self, contents=None): self.value_ = PropertyValue() if contents is not None: self.MergeFromString(contents) def meaning(self): return self.meaning_ def set_meaning(self, x): self.has_meaning_ = 1 self.meaning_ = x def clear_meaning(self): if self.has_meaning_: self.has_meaning_ = 0 self.meaning_ = 0 def has_meaning(self): return self.has_meaning_ def meaning_uri(self): return self.meaning_uri_ def set_meaning_uri(self, x): self.has_meaning_uri_ = 1 self.meaning_uri_ = x def clear_meaning_uri(self): if self.has_meaning_uri_: self.has_meaning_uri_ = 0 self.meaning_uri_ = "" def has_meaning_uri(self): return self.has_meaning_uri_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def value(self): return self.value_ def mutable_value(self): self.has_value_ = 1; return self.value_ def clear_value(self):self.has_value_ = 0; self.value_.Clear() def has_value(self): return self.has_value_ def multiple(self): return self.multiple_ def set_multiple(self, x): self.has_multiple_ = 1 self.multiple_ = x def clear_multiple(self): if self.has_multiple_: self.has_multiple_ = 0 self.multiple_ = 0 def has_multiple(self): return self.has_multiple_ def embedded(self): return self.embedded_ def set_embedded(self, x): self.has_embedded_ = 1 self.embedded_ = x def clear_embedded(self): if self.has_embedded_: self.has_embedded_ = 0 self.embedded_ = 0 def has_embedded(self): return self.has_embedded_ def MergeFrom(self, x): assert x is not self if (x.has_meaning()): self.set_meaning(x.meaning()) if (x.has_meaning_uri()): self.set_meaning_uri(x.meaning_uri()) if (x.has_name()): self.set_name(x.name()) if (x.has_value()): self.mutable_value().MergeFrom(x.value()) if (x.has_multiple()): self.set_multiple(x.multiple()) if (x.has_embedded()): self.set_embedded(x.embedded()) def Equals(self, x): if x is self: return 1 if self.has_meaning_ != x.has_meaning_: return 0 if self.has_meaning_ and self.meaning_ != x.meaning_: return 0 if self.has_meaning_uri_ != x.has_meaning_uri_: return 0 if self.has_meaning_uri_ and self.meaning_uri_ != x.meaning_uri_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 if self.has_value_ != x.has_value_: return 0 if self.has_value_ and self.value_ != x.value_: return 0 if self.has_multiple_ != x.has_multiple_: return 0 if self.has_multiple_ and self.multiple_ != x.multiple_: return 0 if self.has_embedded_ != x.has_embedded_: return 0 if self.has_embedded_ and self.embedded_ != x.embedded_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: name not set.') if (not self.has_value_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: value not set.') elif not self.value_.IsInitialized(debug_strs): initialized = 0 if (not self.has_multiple_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: multiple not set.') return initialized def ByteSize(self): n = 0 if (self.has_meaning_): n += 1 + self.lengthVarInt64(self.meaning_) if (self.has_meaning_uri_): n += 1 + self.lengthString(len(self.meaning_uri_)) n += self.lengthString(len(self.name_)) n += self.lengthString(self.value_.ByteSize()) if (self.has_embedded_): n += 2 return n + 4 def ByteSizePartial(self): n = 0 if (self.has_meaning_): n += 1 + self.lengthVarInt64(self.meaning_) if (self.has_meaning_uri_): n += 1 + self.lengthString(len(self.meaning_uri_)) if (self.has_name_): n += 1 n += self.lengthString(len(self.name_)) if (self.has_value_): n += 1 n += self.lengthString(self.value_.ByteSizePartial()) if (self.has_multiple_): n += 2 if (self.has_embedded_): n += 2 return n def Clear(self): self.clear_meaning() self.clear_meaning_uri() self.clear_name() self.clear_value() self.clear_multiple() self.clear_embedded() def OutputUnchecked(self, out): if (self.has_meaning_): out.putVarInt32(8) out.putVarInt32(self.meaning_) if (self.has_meaning_uri_): out.putVarInt32(18) out.putPrefixedString(self.meaning_uri_) out.putVarInt32(26) out.putPrefixedString(self.name_) out.putVarInt32(32) out.putBoolean(self.multiple_) out.putVarInt32(42) out.putVarInt32(self.value_.ByteSize()) self.value_.OutputUnchecked(out) if (self.has_embedded_): out.putVarInt32(48) out.putBoolean(self.embedded_) def OutputPartial(self, out): if (self.has_meaning_): out.putVarInt32(8) out.putVarInt32(self.meaning_) if (self.has_meaning_uri_): out.putVarInt32(18) out.putPrefixedString(self.meaning_uri_) if (self.has_name_): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_multiple_): out.putVarInt32(32) out.putBoolean(self.multiple_) if (self.has_value_): out.putVarInt32(42) out.putVarInt32(self.value_.ByteSizePartial()) self.value_.OutputPartial(out) if (self.has_embedded_): out.putVarInt32(48) out.putBoolean(self.embedded_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_meaning(d.getVarInt32()) continue if tt == 18: self.set_meaning_uri(d.getPrefixedString()) continue if tt == 26: self.set_name(d.getPrefixedString()) continue if tt == 32: self.set_multiple(d.getBoolean()) continue if tt == 42: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_value().TryMerge(tmp) continue if tt == 48: self.set_embedded(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_meaning_: res+=prefix+("meaning: %s\n" % self.DebugFormatInt32(self.meaning_)) if self.has_meaning_uri_: res+=prefix+("meaning_uri: %s\n" % self.DebugFormatString(self.meaning_uri_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) if self.has_value_: res+=prefix+"value <\n" res+=self.value_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_multiple_: res+=prefix+("multiple: %s\n" % self.DebugFormatBool(self.multiple_)) if self.has_embedded_: res+=prefix+("embedded: %s\n" % self.DebugFormatBool(self.embedded_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kmeaning = 1 kmeaning_uri = 2 kname = 3 kvalue = 5 kmultiple = 4 kembedded = 6 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "meaning", 2: "meaning_uri", 3: "name", 4: "multiple", 5: "value", 6: "embedded", }, 6) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 6: ProtocolBuffer.Encoder.NUMERIC, }, 6, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Property' class Path_Element(ProtocolBuffer.ProtocolMessage): has_type_ = 0 type_ = "" has_id_ = 0 id_ = 0 has_name_ = 0 name_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def type(self): return self.type_ def set_type(self, x): self.has_type_ = 1 self.type_ = x def clear_type(self): if self.has_type_: self.has_type_ = 0 self.type_ = "" def has_type(self): return self.has_type_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def MergeFrom(self, x): assert x is not self if (x.has_type()): self.set_type(x.type()) if (x.has_id()): self.set_id(x.id()) if (x.has_name()): self.set_name(x.name()) def Equals(self, x): if x is self: return 1 if self.has_type_ != x.has_type_: return 0 if self.has_type_ and self.type_ != x.type_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: type not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 1 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 1 + self.lengthString(len(self.name_)) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_type_): n += 1 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 1 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 1 + self.lengthString(len(self.name_)) return n def Clear(self): self.clear_type() self.clear_id() self.clear_name() def OutputUnchecked(self, out): out.putVarInt32(18) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(24) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(34) out.putPrefixedString(self.name_) def OutputPartial(self, out): if (self.has_type_): out.putVarInt32(18) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(24) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(34) out.putPrefixedString(self.name_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 12: break if tt == 18: self.set_type(d.getPrefixedString()) continue if tt == 24: self.set_id(d.getVarInt64()) continue if tt == 34: self.set_name(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_type_: res+=prefix+("type: %s\n" % self.DebugFormatString(self.type_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) return res class Path(ProtocolBuffer.ProtocolMessage): def __init__(self, contents=None): self.element_ = [] if contents is not None: self.MergeFromString(contents) def element_size(self): return len(self.element_) def element_list(self): return self.element_ def element(self, i): return self.element_[i] def mutable_element(self, i): return self.element_[i] def add_element(self): x = Path_Element() self.element_.append(x) return x def clear_element(self): self.element_ = [] def MergeFrom(self, x): assert x is not self for i in xrange(x.element_size()): self.add_element().CopyFrom(x.element(i)) def Equals(self, x): if x is self: return 1 if len(self.element_) != len(x.element_): return 0 for e1, e2 in zip(self.element_, x.element_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 for p in self.element_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += 2 * len(self.element_) for i in xrange(len(self.element_)): n += self.element_[i].ByteSize() return n def ByteSizePartial(self): n = 0 n += 2 * len(self.element_) for i in xrange(len(self.element_)): n += self.element_[i].ByteSizePartial() return n def Clear(self): self.clear_element() def OutputUnchecked(self, out): for i in xrange(len(self.element_)): out.putVarInt32(11) self.element_[i].OutputUnchecked(out) out.putVarInt32(12) def OutputPartial(self, out): for i in xrange(len(self.element_)): out.putVarInt32(11) self.element_[i].OutputPartial(out) out.putVarInt32(12) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 11: self.add_element().TryMerge(d) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" cnt=0 for e in self.element_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("Element%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kElementGroup = 1 kElementtype = 2 kElementid = 3 kElementname = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "Element", 2: "type", 3: "id", 4: "name", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STARTGROUP, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.STRING, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Path' class Reference(ProtocolBuffer.ProtocolMessage): has_app_ = 0 app_ = "" has_name_space_ = 0 name_space_ = "" has_path_ = 0 def __init__(self, contents=None): self.path_ = Path() if contents is not None: self.MergeFromString(contents) def app(self): return self.app_ def set_app(self, x): self.has_app_ = 1 self.app_ = x def clear_app(self): if self.has_app_: self.has_app_ = 0 self.app_ = "" def has_app(self): return self.has_app_ def name_space(self): return self.name_space_ def set_name_space(self, x): self.has_name_space_ = 1 self.name_space_ = x def clear_name_space(self): if self.has_name_space_: self.has_name_space_ = 0 self.name_space_ = "" def has_name_space(self): return self.has_name_space_ def path(self): return self.path_ def mutable_path(self): self.has_path_ = 1; return self.path_ def clear_path(self):self.has_path_ = 0; self.path_.Clear() def has_path(self): return self.has_path_ def MergeFrom(self, x): assert x is not self if (x.has_app()): self.set_app(x.app()) if (x.has_name_space()): self.set_name_space(x.name_space()) if (x.has_path()): self.mutable_path().MergeFrom(x.path()) def Equals(self, x): if x is self: return 1 if self.has_app_ != x.has_app_: return 0 if self.has_app_ and self.app_ != x.app_: return 0 if self.has_name_space_ != x.has_name_space_: return 0 if self.has_name_space_ and self.name_space_ != x.name_space_: return 0 if self.has_path_ != x.has_path_: return 0 if self.has_path_ and self.path_ != x.path_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app not set.') if (not self.has_path_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: path not set.') elif not self.path_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += self.lengthString(self.path_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_app_): n += 1 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) if (self.has_path_): n += 1 n += self.lengthString(self.path_.ByteSizePartial()) return n def Clear(self): self.clear_app() self.clear_name_space() self.clear_path() def OutputUnchecked(self, out): out.putVarInt32(106) out.putPrefixedString(self.app_) out.putVarInt32(114) out.putVarInt32(self.path_.ByteSize()) self.path_.OutputUnchecked(out) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def OutputPartial(self, out): if (self.has_app_): out.putVarInt32(106) out.putPrefixedString(self.app_) if (self.has_path_): out.putVarInt32(114) out.putVarInt32(self.path_.ByteSizePartial()) self.path_.OutputPartial(out) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 106: self.set_app(d.getPrefixedString()) continue if tt == 114: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_path().TryMerge(tmp) continue if tt == 162: self.set_name_space(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_: res+=prefix+("app: %s\n" % self.DebugFormatString(self.app_)) if self.has_name_space_: res+=prefix+("name_space: %s\n" % self.DebugFormatString(self.name_space_)) if self.has_path_: res+=prefix+"path <\n" res+=self.path_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kapp = 13 kname_space = 20 kpath = 14 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 13: "app", 14: "path", 20: "name_space", }, 20) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STRING, 20: ProtocolBuffer.Encoder.STRING, }, 20, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Reference' class User(ProtocolBuffer.ProtocolMessage): has_email_ = 0 email_ = "" has_auth_domain_ = 0 auth_domain_ = "" has_nickname_ = 0 nickname_ = "" has_gaiaid_ = 0 gaiaid_ = 0 has_obfuscated_gaiaid_ = 0 obfuscated_gaiaid_ = "" has_federated_identity_ = 0 federated_identity_ = "" has_federated_provider_ = 0 federated_provider_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def email(self): return self.email_ def set_email(self, x): self.has_email_ = 1 self.email_ = x def clear_email(self): if self.has_email_: self.has_email_ = 0 self.email_ = "" def has_email(self): return self.has_email_ def auth_domain(self): return self.auth_domain_ def set_auth_domain(self, x): self.has_auth_domain_ = 1 self.auth_domain_ = x def clear_auth_domain(self): if self.has_auth_domain_: self.has_auth_domain_ = 0 self.auth_domain_ = "" def has_auth_domain(self): return self.has_auth_domain_ def nickname(self): return self.nickname_ def set_nickname(self, x): self.has_nickname_ = 1 self.nickname_ = x def clear_nickname(self): if self.has_nickname_: self.has_nickname_ = 0 self.nickname_ = "" def has_nickname(self): return self.has_nickname_ def gaiaid(self): return self.gaiaid_ def set_gaiaid(self, x): self.has_gaiaid_ = 1 self.gaiaid_ = x def clear_gaiaid(self): if self.has_gaiaid_: self.has_gaiaid_ = 0 self.gaiaid_ = 0 def has_gaiaid(self): return self.has_gaiaid_ def obfuscated_gaiaid(self): return self.obfuscated_gaiaid_ def set_obfuscated_gaiaid(self, x): self.has_obfuscated_gaiaid_ = 1 self.obfuscated_gaiaid_ = x def clear_obfuscated_gaiaid(self): if self.has_obfuscated_gaiaid_: self.has_obfuscated_gaiaid_ = 0 self.obfuscated_gaiaid_ = "" def has_obfuscated_gaiaid(self): return self.has_obfuscated_gaiaid_ def federated_identity(self): return self.federated_identity_ def set_federated_identity(self, x): self.has_federated_identity_ = 1 self.federated_identity_ = x def clear_federated_identity(self): if self.has_federated_identity_: self.has_federated_identity_ = 0 self.federated_identity_ = "" def has_federated_identity(self): return self.has_federated_identity_ def federated_provider(self): return self.federated_provider_ def set_federated_provider(self, x): self.has_federated_provider_ = 1 self.federated_provider_ = x def clear_federated_provider(self): if self.has_federated_provider_: self.has_federated_provider_ = 0 self.federated_provider_ = "" def has_federated_provider(self): return self.has_federated_provider_ def MergeFrom(self, x): assert x is not self if (x.has_email()): self.set_email(x.email()) if (x.has_auth_domain()): self.set_auth_domain(x.auth_domain()) if (x.has_nickname()): self.set_nickname(x.nickname()) if (x.has_gaiaid()): self.set_gaiaid(x.gaiaid()) if (x.has_obfuscated_gaiaid()): self.set_obfuscated_gaiaid(x.obfuscated_gaiaid()) if (x.has_federated_identity()): self.set_federated_identity(x.federated_identity()) if (x.has_federated_provider()): self.set_federated_provider(x.federated_provider()) def Equals(self, x): if x is self: return 1 if self.has_email_ != x.has_email_: return 0 if self.has_email_ and self.email_ != x.email_: return 0 if self.has_auth_domain_ != x.has_auth_domain_: return 0 if self.has_auth_domain_ and self.auth_domain_ != x.auth_domain_: return 0 if self.has_nickname_ != x.has_nickname_: return 0 if self.has_nickname_ and self.nickname_ != x.nickname_: return 0 if self.has_gaiaid_ != x.has_gaiaid_: return 0 if self.has_gaiaid_ and self.gaiaid_ != x.gaiaid_: return 0 if self.has_obfuscated_gaiaid_ != x.has_obfuscated_gaiaid_: return 0 if self.has_obfuscated_gaiaid_ and self.obfuscated_gaiaid_ != x.obfuscated_gaiaid_: return 0 if self.has_federated_identity_ != x.has_federated_identity_: return 0 if self.has_federated_identity_ and self.federated_identity_ != x.federated_identity_: return 0 if self.has_federated_provider_ != x.has_federated_provider_: return 0 if self.has_federated_provider_ and self.federated_provider_ != x.federated_provider_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_email_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: email not set.') if (not self.has_auth_domain_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: auth_domain not set.') if (not self.has_gaiaid_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: gaiaid not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.email_)) n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 1 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 1 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 1 + self.lengthString(len(self.federated_provider_)) return n + 3 def ByteSizePartial(self): n = 0 if (self.has_email_): n += 1 n += self.lengthString(len(self.email_)) if (self.has_auth_domain_): n += 1 n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) if (self.has_gaiaid_): n += 1 n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 1 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 1 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 1 + self.lengthString(len(self.federated_provider_)) return n def Clear(self): self.clear_email() self.clear_auth_domain() self.clear_nickname() self.clear_gaiaid() self.clear_obfuscated_gaiaid() self.clear_federated_identity() self.clear_federated_provider() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.email_) out.putVarInt32(18) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(26) out.putPrefixedString(self.nickname_) out.putVarInt32(32) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(42) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(50) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(58) out.putPrefixedString(self.federated_provider_) def OutputPartial(self, out): if (self.has_email_): out.putVarInt32(10) out.putPrefixedString(self.email_) if (self.has_auth_domain_): out.putVarInt32(18) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(26) out.putPrefixedString(self.nickname_) if (self.has_gaiaid_): out.putVarInt32(32) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(42) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(50) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(58) out.putPrefixedString(self.federated_provider_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_email(d.getPrefixedString()) continue if tt == 18: self.set_auth_domain(d.getPrefixedString()) continue if tt == 26: self.set_nickname(d.getPrefixedString()) continue if tt == 32: self.set_gaiaid(d.getVarInt64()) continue if tt == 42: self.set_obfuscated_gaiaid(d.getPrefixedString()) continue if tt == 50: self.set_federated_identity(d.getPrefixedString()) continue if tt == 58: self.set_federated_provider(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_email_: res+=prefix+("email: %s\n" % self.DebugFormatString(self.email_)) if self.has_auth_domain_: res+=prefix+("auth_domain: %s\n" % self.DebugFormatString(self.auth_domain_)) if self.has_nickname_: res+=prefix+("nickname: %s\n" % self.DebugFormatString(self.nickname_)) if self.has_gaiaid_: res+=prefix+("gaiaid: %s\n" % self.DebugFormatInt64(self.gaiaid_)) if self.has_obfuscated_gaiaid_: res+=prefix+("obfuscated_gaiaid: %s\n" % self.DebugFormatString(self.obfuscated_gaiaid_)) if self.has_federated_identity_: res+=prefix+("federated_identity: %s\n" % self.DebugFormatString(self.federated_identity_)) if self.has_federated_provider_: res+=prefix+("federated_provider: %s\n" % self.DebugFormatString(self.federated_provider_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kemail = 1 kauth_domain = 2 knickname = 3 kgaiaid = 4 kobfuscated_gaiaid = 5 kfederated_identity = 6 kfederated_provider = 7 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "email", 2: "auth_domain", 3: "nickname", 4: "gaiaid", 5: "obfuscated_gaiaid", 6: "federated_identity", 7: "federated_provider", }, 7) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 6: ProtocolBuffer.Encoder.STRING, 7: ProtocolBuffer.Encoder.STRING, }, 7, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.User' class EntityProto(ProtocolBuffer.ProtocolMessage): GD_CONTACT = 1 GD_EVENT = 2 GD_MESSAGE = 3 _Kind_NAMES = { 1: "GD_CONTACT", 2: "GD_EVENT", 3: "GD_MESSAGE", } def Kind_Name(cls, x): return cls._Kind_NAMES.get(x, "") Kind_Name = classmethod(Kind_Name) has_key_ = 0 has_entity_group_ = 0 has_owner_ = 0 owner_ = None has_kind_ = 0 kind_ = 0 has_kind_uri_ = 0 kind_uri_ = "" def __init__(self, contents=None): self.key_ = Reference() self.entity_group_ = Path() self.property_ = [] self.raw_property_ = [] self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def key(self): return self.key_ def mutable_key(self): self.has_key_ = 1; return self.key_ def clear_key(self):self.has_key_ = 0; self.key_.Clear() def has_key(self): return self.has_key_ def entity_group(self): return self.entity_group_ def mutable_entity_group(self): self.has_entity_group_ = 1; return self.entity_group_ def clear_entity_group(self):self.has_entity_group_ = 0; self.entity_group_.Clear() def has_entity_group(self): return self.has_entity_group_ def owner(self): if self.owner_ is None: self.lazy_init_lock_.acquire() try: if self.owner_ is None: self.owner_ = User() finally: self.lazy_init_lock_.release() return self.owner_ def mutable_owner(self): self.has_owner_ = 1; return self.owner() def clear_owner(self): if self.has_owner_: self.has_owner_ = 0; if self.owner_ is not None: self.owner_.Clear() def has_owner(self): return self.has_owner_ def kind(self): return self.kind_ def set_kind(self, x): self.has_kind_ = 1 self.kind_ = x def clear_kind(self): if self.has_kind_: self.has_kind_ = 0 self.kind_ = 0 def has_kind(self): return self.has_kind_ def kind_uri(self): return self.kind_uri_ def set_kind_uri(self, x): self.has_kind_uri_ = 1 self.kind_uri_ = x def clear_kind_uri(self): if self.has_kind_uri_: self.has_kind_uri_ = 0 self.kind_uri_ = "" def has_kind_uri(self): return self.has_kind_uri_ def property_size(self): return len(self.property_) def property_list(self): return self.property_ def property(self, i): return self.property_[i] def mutable_property(self, i): return self.property_[i] def add_property(self): x = Property() self.property_.append(x) return x def clear_property(self): self.property_ = [] def raw_property_size(self): return len(self.raw_property_) def raw_property_list(self): return self.raw_property_ def raw_property(self, i): return self.raw_property_[i] def mutable_raw_property(self, i): return self.raw_property_[i] def add_raw_property(self): x = Property() self.raw_property_.append(x) return x def clear_raw_property(self): self.raw_property_ = [] def MergeFrom(self, x): assert x is not self if (x.has_key()): self.mutable_key().MergeFrom(x.key()) if (x.has_entity_group()): self.mutable_entity_group().MergeFrom(x.entity_group()) if (x.has_owner()): self.mutable_owner().MergeFrom(x.owner()) if (x.has_kind()): self.set_kind(x.kind()) if (x.has_kind_uri()): self.set_kind_uri(x.kind_uri()) for i in xrange(x.property_size()): self.add_property().CopyFrom(x.property(i)) for i in xrange(x.raw_property_size()): self.add_raw_property().CopyFrom(x.raw_property(i)) def Equals(self, x): if x is self: return 1 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_entity_group_ != x.has_entity_group_: return 0 if self.has_entity_group_ and self.entity_group_ != x.entity_group_: return 0 if self.has_owner_ != x.has_owner_: return 0 if self.has_owner_ and self.owner_ != x.owner_: return 0 if self.has_kind_ != x.has_kind_: return 0 if self.has_kind_ and self.kind_ != x.kind_: return 0 if self.has_kind_uri_ != x.has_kind_uri_: return 0 if self.has_kind_uri_ and self.kind_uri_ != x.kind_uri_: return 0 if len(self.property_) != len(x.property_): return 0 for e1, e2 in zip(self.property_, x.property_): if e1 != e2: return 0 if len(self.raw_property_) != len(x.raw_property_): return 0 for e1, e2 in zip(self.raw_property_, x.raw_property_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_key_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: key not set.') elif not self.key_.IsInitialized(debug_strs): initialized = 0 if (not self.has_entity_group_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: entity_group not set.') elif not self.entity_group_.IsInitialized(debug_strs): initialized = 0 if (self.has_owner_ and not self.owner_.IsInitialized(debug_strs)): initialized = 0 for p in self.property_: if not p.IsInitialized(debug_strs): initialized=0 for p in self.raw_property_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(self.key_.ByteSize()) n += self.lengthString(self.entity_group_.ByteSize()) if (self.has_owner_): n += 2 + self.lengthString(self.owner_.ByteSize()) if (self.has_kind_): n += 1 + self.lengthVarInt64(self.kind_) if (self.has_kind_uri_): n += 1 + self.lengthString(len(self.kind_uri_)) n += 1 * len(self.property_) for i in xrange(len(self.property_)): n += self.lengthString(self.property_[i].ByteSize()) n += 1 * len(self.raw_property_) for i in xrange(len(self.raw_property_)): n += self.lengthString(self.raw_property_[i].ByteSize()) return n + 3 def ByteSizePartial(self): n = 0 if (self.has_key_): n += 1 n += self.lengthString(self.key_.ByteSizePartial()) if (self.has_entity_group_): n += 2 n += self.lengthString(self.entity_group_.ByteSizePartial()) if (self.has_owner_): n += 2 + self.lengthString(self.owner_.ByteSizePartial()) if (self.has_kind_): n += 1 + self.lengthVarInt64(self.kind_) if (self.has_kind_uri_): n += 1 + self.lengthString(len(self.kind_uri_)) n += 1 * len(self.property_) for i in xrange(len(self.property_)): n += self.lengthString(self.property_[i].ByteSizePartial()) n += 1 * len(self.raw_property_) for i in xrange(len(self.raw_property_)): n += self.lengthString(self.raw_property_[i].ByteSizePartial()) return n def Clear(self): self.clear_key() self.clear_entity_group() self.clear_owner() self.clear_kind() self.clear_kind_uri() self.clear_property() self.clear_raw_property() def OutputUnchecked(self, out): if (self.has_kind_): out.putVarInt32(32) out.putVarInt32(self.kind_) if (self.has_kind_uri_): out.putVarInt32(42) out.putPrefixedString(self.kind_uri_) out.putVarInt32(106) out.putVarInt32(self.key_.ByteSize()) self.key_.OutputUnchecked(out) for i in xrange(len(self.property_)): out.putVarInt32(114) out.putVarInt32(self.property_[i].ByteSize()) self.property_[i].OutputUnchecked(out) for i in xrange(len(self.raw_property_)): out.putVarInt32(122) out.putVarInt32(self.raw_property_[i].ByteSize()) self.raw_property_[i].OutputUnchecked(out) out.putVarInt32(130) out.putVarInt32(self.entity_group_.ByteSize()) self.entity_group_.OutputUnchecked(out) if (self.has_owner_): out.putVarInt32(138) out.putVarInt32(self.owner_.ByteSize()) self.owner_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_kind_): out.putVarInt32(32) out.putVarInt32(self.kind_) if (self.has_kind_uri_): out.putVarInt32(42) out.putPrefixedString(self.kind_uri_) if (self.has_key_): out.putVarInt32(106) out.putVarInt32(self.key_.ByteSizePartial()) self.key_.OutputPartial(out) for i in xrange(len(self.property_)): out.putVarInt32(114) out.putVarInt32(self.property_[i].ByteSizePartial()) self.property_[i].OutputPartial(out) for i in xrange(len(self.raw_property_)): out.putVarInt32(122) out.putVarInt32(self.raw_property_[i].ByteSizePartial()) self.raw_property_[i].OutputPartial(out) if (self.has_entity_group_): out.putVarInt32(130) out.putVarInt32(self.entity_group_.ByteSizePartial()) self.entity_group_.OutputPartial(out) if (self.has_owner_): out.putVarInt32(138) out.putVarInt32(self.owner_.ByteSizePartial()) self.owner_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 32: self.set_kind(d.getVarInt32()) continue if tt == 42: self.set_kind_uri(d.getPrefixedString()) continue if tt == 106: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_key().TryMerge(tmp) continue if tt == 114: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_property().TryMerge(tmp) continue if tt == 122: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_raw_property().TryMerge(tmp) continue if tt == 130: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_entity_group().TryMerge(tmp) continue if tt == 138: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_owner().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_key_: res+=prefix+"key <\n" res+=self.key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_entity_group_: res+=prefix+"entity_group <\n" res+=self.entity_group_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_owner_: res+=prefix+"owner <\n" res+=self.owner_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_kind_: res+=prefix+("kind: %s\n" % self.DebugFormatInt32(self.kind_)) if self.has_kind_uri_: res+=prefix+("kind_uri: %s\n" % self.DebugFormatString(self.kind_uri_)) cnt=0 for e in self.property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("property%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 cnt=0 for e in self.raw_property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("raw_property%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kkey = 13 kentity_group = 16 kowner = 17 kkind = 4 kkind_uri = 5 kproperty = 14 kraw_property = 15 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 4: "kind", 5: "kind_uri", 13: "key", 14: "property", 15: "raw_property", 16: "entity_group", 17: "owner", }, 17) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STRING, 15: ProtocolBuffer.Encoder.STRING, 16: ProtocolBuffer.Encoder.STRING, 17: ProtocolBuffer.Encoder.STRING, }, 17, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.EntityProto' class CompositeProperty(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 def __init__(self, contents=None): self.value_ = [] if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def value_size(self): return len(self.value_) def value_list(self): return self.value_ def value(self, i): return self.value_[i] def set_value(self, i, x): self.value_[i] = x def add_value(self, x): self.value_.append(x) def clear_value(self): self.value_ = [] def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) for i in xrange(x.value_size()): self.add_value(x.value(i)) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if len(self.value_) != len(x.value_): return 0 for e1, e2 in zip(self.value_, x.value_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += 1 * len(self.value_) for i in xrange(len(self.value_)): n += self.lengthString(len(self.value_[i])) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) n += 1 * len(self.value_) for i in xrange(len(self.value_)): n += self.lengthString(len(self.value_[i])) return n def Clear(self): self.clear_index_id() self.clear_value() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) for i in xrange(len(self.value_)): out.putVarInt32(18) out.putPrefixedString(self.value_[i]) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) for i in xrange(len(self.value_)): out.putVarInt32(18) out.putPrefixedString(self.value_[i]) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: self.add_value(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) cnt=0 for e in self.value_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("value%s: %s\n" % (elm, self.DebugFormatString(e))) cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kvalue = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "value", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.CompositeProperty' class Index_Property(ProtocolBuffer.ProtocolMessage): DIRECTION_UNSPECIFIED = 0 ASCENDING = 1 DESCENDING = 2 _Direction_NAMES = { 0: "DIRECTION_UNSPECIFIED", 1: "ASCENDING", 2: "DESCENDING", } def Direction_Name(cls, x): return cls._Direction_NAMES.get(x, "") Direction_Name = classmethod(Direction_Name) MODE_UNSPECIFIED = 0 GEOSPATIAL = 3 _Mode_NAMES = { 0: "MODE_UNSPECIFIED", 3: "GEOSPATIAL", } def Mode_Name(cls, x): return cls._Mode_NAMES.get(x, "") Mode_Name = classmethod(Mode_Name) has_name_ = 0 name_ = "" has_direction_ = 0 direction_ = 0 has_mode_ = 0 mode_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def direction(self): return self.direction_ def set_direction(self, x): self.has_direction_ = 1 self.direction_ = x def clear_direction(self): if self.has_direction_: self.has_direction_ = 0 self.direction_ = 0 def has_direction(self): return self.has_direction_ def mode(self): return self.mode_ def set_mode(self, x): self.has_mode_ = 1 self.mode_ = x def clear_mode(self): if self.has_mode_: self.has_mode_ = 0 self.mode_ = 0 def has_mode(self): return self.has_mode_ def MergeFrom(self, x): assert x is not self if (x.has_name()): self.set_name(x.name()) if (x.has_direction()): self.set_direction(x.direction()) if (x.has_mode()): self.set_mode(x.mode()) def Equals(self, x): if x is self: return 1 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 if self.has_direction_ != x.has_direction_: return 0 if self.has_direction_ and self.direction_ != x.direction_: return 0 if self.has_mode_ != x.has_mode_: return 0 if self.has_mode_ and self.mode_ != x.mode_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: name not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.name_)) if (self.has_direction_): n += 1 + self.lengthVarInt64(self.direction_) if (self.has_mode_): n += 1 + self.lengthVarInt64(self.mode_) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_name_): n += 1 n += self.lengthString(len(self.name_)) if (self.has_direction_): n += 1 + self.lengthVarInt64(self.direction_) if (self.has_mode_): n += 1 + self.lengthVarInt64(self.mode_) return n def Clear(self): self.clear_name() self.clear_direction() self.clear_mode() def OutputUnchecked(self, out): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_direction_): out.putVarInt32(32) out.putVarInt32(self.direction_) if (self.has_mode_): out.putVarInt32(48) out.putVarInt32(self.mode_) def OutputPartial(self, out): if (self.has_name_): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_direction_): out.putVarInt32(32) out.putVarInt32(self.direction_) if (self.has_mode_): out.putVarInt32(48) out.putVarInt32(self.mode_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 20: break if tt == 26: self.set_name(d.getPrefixedString()) continue if tt == 32: self.set_direction(d.getVarInt32()) continue if tt == 48: self.set_mode(d.getVarInt32()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) if self.has_direction_: res+=prefix+("direction: %s\n" % self.DebugFormatInt32(self.direction_)) if self.has_mode_: res+=prefix+("mode: %s\n" % self.DebugFormatInt32(self.mode_)) return res class Index(ProtocolBuffer.ProtocolMessage): has_entity_type_ = 0 entity_type_ = "" has_ancestor_ = 0 ancestor_ = 0 def __init__(self, contents=None): self.property_ = [] if contents is not None: self.MergeFromString(contents) def entity_type(self): return self.entity_type_ def set_entity_type(self, x): self.has_entity_type_ = 1 self.entity_type_ = x def clear_entity_type(self): if self.has_entity_type_: self.has_entity_type_ = 0 self.entity_type_ = "" def has_entity_type(self): return self.has_entity_type_ def ancestor(self): return self.ancestor_ def set_ancestor(self, x): self.has_ancestor_ = 1 self.ancestor_ = x def clear_ancestor(self): if self.has_ancestor_: self.has_ancestor_ = 0 self.ancestor_ = 0 def has_ancestor(self): return self.has_ancestor_ def property_size(self): return len(self.property_) def property_list(self): return self.property_ def property(self, i): return self.property_[i] def mutable_property(self, i): return self.property_[i] def add_property(self): x = Index_Property() self.property_.append(x) return x def clear_property(self): self.property_ = [] def MergeFrom(self, x): assert x is not self if (x.has_entity_type()): self.set_entity_type(x.entity_type()) if (x.has_ancestor()): self.set_ancestor(x.ancestor()) for i in xrange(x.property_size()): self.add_property().CopyFrom(x.property(i)) def Equals(self, x): if x is self: return 1 if self.has_entity_type_ != x.has_entity_type_: return 0 if self.has_entity_type_ and self.entity_type_ != x.entity_type_: return 0 if self.has_ancestor_ != x.has_ancestor_: return 0 if self.has_ancestor_ and self.ancestor_ != x.ancestor_: return 0 if len(self.property_) != len(x.property_): return 0 for e1, e2 in zip(self.property_, x.property_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_entity_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: entity_type not set.') if (not self.has_ancestor_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: ancestor not set.') for p in self.property_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.entity_type_)) n += 2 * len(self.property_) for i in xrange(len(self.property_)): n += self.property_[i].ByteSize() return n + 3 def ByteSizePartial(self): n = 0 if (self.has_entity_type_): n += 1 n += self.lengthString(len(self.entity_type_)) if (self.has_ancestor_): n += 2 n += 2 * len(self.property_) for i in xrange(len(self.property_)): n += self.property_[i].ByteSizePartial() return n def Clear(self): self.clear_entity_type() self.clear_ancestor() self.clear_property() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.entity_type_) for i in xrange(len(self.property_)): out.putVarInt32(19) self.property_[i].OutputUnchecked(out) out.putVarInt32(20) out.putVarInt32(40) out.putBoolean(self.ancestor_) def OutputPartial(self, out): if (self.has_entity_type_): out.putVarInt32(10) out.putPrefixedString(self.entity_type_) for i in xrange(len(self.property_)): out.putVarInt32(19) self.property_[i].OutputPartial(out) out.putVarInt32(20) if (self.has_ancestor_): out.putVarInt32(40) out.putBoolean(self.ancestor_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_entity_type(d.getPrefixedString()) continue if tt == 19: self.add_property().TryMerge(d) continue if tt == 40: self.set_ancestor(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_entity_type_: res+=prefix+("entity_type: %s\n" % self.DebugFormatString(self.entity_type_)) if self.has_ancestor_: res+=prefix+("ancestor: %s\n" % self.DebugFormatBool(self.ancestor_)) cnt=0 for e in self.property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("Property%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kentity_type = 1 kancestor = 5 kPropertyGroup = 2 kPropertyname = 3 kPropertydirection = 4 kPropertymode = 6 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "entity_type", 2: "Property", 3: "name", 4: "direction", 5: "ancestor", 6: "mode", }, 6) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STARTGROUP, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.NUMERIC, 6: ProtocolBuffer.Encoder.NUMERIC, }, 6, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Index' class CompositeIndex(ProtocolBuffer.ProtocolMessage): WRITE_ONLY = 1 READ_WRITE = 2 DELETED = 3 ERROR = 4 _State_NAMES = { 1: "WRITE_ONLY", 2: "READ_WRITE", 3: "DELETED", 4: "ERROR", } def State_Name(cls, x): return cls._State_NAMES.get(x, "") State_Name = classmethod(State_Name) PENDING = 1 ACTIVE = 2 COMPLETED = 3 _WorkflowState_NAMES = { 1: "PENDING", 2: "ACTIVE", 3: "COMPLETED", } def WorkflowState_Name(cls, x): return cls._WorkflowState_NAMES.get(x, "") WorkflowState_Name = classmethod(WorkflowState_Name) has_app_id_ = 0 app_id_ = "" has_id_ = 0 id_ = 0 has_definition_ = 0 has_state_ = 0 state_ = 0 has_workflow_state_ = 0 workflow_state_ = 0 has_error_message_ = 0 error_message_ = "" has_only_use_if_required_ = 0 only_use_if_required_ = 0 has_disabled_index_ = 0 disabled_index_ = 0 has_write_division_family_ = 0 write_division_family_ = "" def __init__(self, contents=None): self.definition_ = Index() self.read_division_family_ = [] if contents is not None: self.MergeFromString(contents) def app_id(self): return self.app_id_ def set_app_id(self, x): self.has_app_id_ = 1 self.app_id_ = x def clear_app_id(self): if self.has_app_id_: self.has_app_id_ = 0 self.app_id_ = "" def has_app_id(self): return self.has_app_id_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def definition(self): return self.definition_ def mutable_definition(self): self.has_definition_ = 1; return self.definition_ def clear_definition(self):self.has_definition_ = 0; self.definition_.Clear() def has_definition(self): return self.has_definition_ def state(self): return self.state_ def set_state(self, x): self.has_state_ = 1 self.state_ = x def clear_state(self): if self.has_state_: self.has_state_ = 0 self.state_ = 0 def has_state(self): return self.has_state_ def workflow_state(self): return self.workflow_state_ def set_workflow_state(self, x): self.has_workflow_state_ = 1 self.workflow_state_ = x def clear_workflow_state(self): if self.has_workflow_state_: self.has_workflow_state_ = 0 self.workflow_state_ = 0 def has_workflow_state(self): return self.has_workflow_state_ def error_message(self): return self.error_message_ def set_error_message(self, x): self.has_error_message_ = 1 self.error_message_ = x def clear_error_message(self): if self.has_error_message_: self.has_error_message_ = 0 self.error_message_ = "" def has_error_message(self): return self.has_error_message_ def only_use_if_required(self): return self.only_use_if_required_ def set_only_use_if_required(self, x): self.has_only_use_if_required_ = 1 self.only_use_if_required_ = x def clear_only_use_if_required(self): if self.has_only_use_if_required_: self.has_only_use_if_required_ = 0 self.only_use_if_required_ = 0 def has_only_use_if_required(self): return self.has_only_use_if_required_ def disabled_index(self): return self.disabled_index_ def set_disabled_index(self, x): self.has_disabled_index_ = 1 self.disabled_index_ = x def clear_disabled_index(self): if self.has_disabled_index_: self.has_disabled_index_ = 0 self.disabled_index_ = 0 def has_disabled_index(self): return self.has_disabled_index_ def read_division_family_size(self): return len(self.read_division_family_) def read_division_family_list(self): return self.read_division_family_ def read_division_family(self, i): return self.read_division_family_[i] def set_read_division_family(self, i, x): self.read_division_family_[i] = x def add_read_division_family(self, x): self.read_division_family_.append(x) def clear_read_division_family(self): self.read_division_family_ = [] def write_division_family(self): return self.write_division_family_ def set_write_division_family(self, x): self.has_write_division_family_ = 1 self.write_division_family_ = x def clear_write_division_family(self): if self.has_write_division_family_: self.has_write_division_family_ = 0 self.write_division_family_ = "" def has_write_division_family(self): return self.has_write_division_family_ def MergeFrom(self, x): assert x is not self if (x.has_app_id()): self.set_app_id(x.app_id()) if (x.has_id()): self.set_id(x.id()) if (x.has_definition()): self.mutable_definition().MergeFrom(x.definition()) if (x.has_state()): self.set_state(x.state()) if (x.has_workflow_state()): self.set_workflow_state(x.workflow_state()) if (x.has_error_message()): self.set_error_message(x.error_message()) if (x.has_only_use_if_required()): self.set_only_use_if_required(x.only_use_if_required()) if (x.has_disabled_index()): self.set_disabled_index(x.disabled_index()) for i in xrange(x.read_division_family_size()): self.add_read_division_family(x.read_division_family(i)) if (x.has_write_division_family()): self.set_write_division_family(x.write_division_family()) def Equals(self, x): if x is self: return 1 if self.has_app_id_ != x.has_app_id_: return 0 if self.has_app_id_ and self.app_id_ != x.app_id_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_definition_ != x.has_definition_: return 0 if self.has_definition_ and self.definition_ != x.definition_: return 0 if self.has_state_ != x.has_state_: return 0 if self.has_state_ and self.state_ != x.state_: return 0 if self.has_workflow_state_ != x.has_workflow_state_: return 0 if self.has_workflow_state_ and self.workflow_state_ != x.workflow_state_: return 0 if self.has_error_message_ != x.has_error_message_: return 0 if self.has_error_message_ and self.error_message_ != x.error_message_: return 0 if self.has_only_use_if_required_ != x.has_only_use_if_required_: return 0 if self.has_only_use_if_required_ and self.only_use_if_required_ != x.only_use_if_required_: return 0 if self.has_disabled_index_ != x.has_disabled_index_: return 0 if self.has_disabled_index_ and self.disabled_index_ != x.disabled_index_: return 0 if len(self.read_division_family_) != len(x.read_division_family_): return 0 for e1, e2 in zip(self.read_division_family_, x.read_division_family_): if e1 != e2: return 0 if self.has_write_division_family_ != x.has_write_division_family_: return 0 if self.has_write_division_family_ and self.write_division_family_ != x.write_division_family_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app_id not set.') if (not self.has_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: id not set.') if (not self.has_definition_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: definition not set.') elif not self.definition_.IsInitialized(debug_strs): initialized = 0 if (not self.has_state_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: state not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_id_)) n += self.lengthVarInt64(self.id_) n += self.lengthString(self.definition_.ByteSize()) n += self.lengthVarInt64(self.state_) if (self.has_workflow_state_): n += 1 + self.lengthVarInt64(self.workflow_state_) if (self.has_error_message_): n += 1 + self.lengthString(len(self.error_message_)) if (self.has_only_use_if_required_): n += 2 if (self.has_disabled_index_): n += 2 n += 1 * len(self.read_division_family_) for i in xrange(len(self.read_division_family_)): n += self.lengthString(len(self.read_division_family_[i])) if (self.has_write_division_family_): n += 1 + self.lengthString(len(self.write_division_family_)) return n + 4 def ByteSizePartial(self): n = 0 if (self.has_app_id_): n += 1 n += self.lengthString(len(self.app_id_)) if (self.has_id_): n += 1 n += self.lengthVarInt64(self.id_) if (self.has_definition_): n += 1 n += self.lengthString(self.definition_.ByteSizePartial()) if (self.has_state_): n += 1 n += self.lengthVarInt64(self.state_) if (self.has_workflow_state_): n += 1 + self.lengthVarInt64(self.workflow_state_) if (self.has_error_message_): n += 1 + self.lengthString(len(self.error_message_)) if (self.has_only_use_if_required_): n += 2 if (self.has_disabled_index_): n += 2 n += 1 * len(self.read_division_family_) for i in xrange(len(self.read_division_family_)): n += self.lengthString(len(self.read_division_family_[i])) if (self.has_write_division_family_): n += 1 + self.lengthString(len(self.write_division_family_)) return n def Clear(self): self.clear_app_id() self.clear_id() self.clear_definition() self.clear_state() self.clear_workflow_state() self.clear_error_message() self.clear_only_use_if_required() self.clear_disabled_index() self.clear_read_division_family() self.clear_write_division_family() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.app_id_) out.putVarInt32(16) out.putVarInt64(self.id_) out.putVarInt32(26) out.putVarInt32(self.definition_.ByteSize()) self.definition_.OutputUnchecked(out) out.putVarInt32(32) out.putVarInt32(self.state_) if (self.has_only_use_if_required_): out.putVarInt32(48) out.putBoolean(self.only_use_if_required_) for i in xrange(len(self.read_division_family_)): out.putVarInt32(58) out.putPrefixedString(self.read_division_family_[i]) if (self.has_write_division_family_): out.putVarInt32(66) out.putPrefixedString(self.write_division_family_) if (self.has_disabled_index_): out.putVarInt32(72) out.putBoolean(self.disabled_index_) if (self.has_workflow_state_): out.putVarInt32(80) out.putVarInt32(self.workflow_state_) if (self.has_error_message_): out.putVarInt32(90) out.putPrefixedString(self.error_message_) def OutputPartial(self, out): if (self.has_app_id_): out.putVarInt32(10) out.putPrefixedString(self.app_id_) if (self.has_id_): out.putVarInt32(16) out.putVarInt64(self.id_) if (self.has_definition_): out.putVarInt32(26) out.putVarInt32(self.definition_.ByteSizePartial()) self.definition_.OutputPartial(out) if (self.has_state_): out.putVarInt32(32) out.putVarInt32(self.state_) if (self.has_only_use_if_required_): out.putVarInt32(48) out.putBoolean(self.only_use_if_required_) for i in xrange(len(self.read_division_family_)): out.putVarInt32(58) out.putPrefixedString(self.read_division_family_[i]) if (self.has_write_division_family_): out.putVarInt32(66) out.putPrefixedString(self.write_division_family_) if (self.has_disabled_index_): out.putVarInt32(72) out.putBoolean(self.disabled_index_) if (self.has_workflow_state_): out.putVarInt32(80) out.putVarInt32(self.workflow_state_) if (self.has_error_message_): out.putVarInt32(90) out.putPrefixedString(self.error_message_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_app_id(d.getPrefixedString()) continue if tt == 16: self.set_id(d.getVarInt64()) continue if tt == 26: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_definition().TryMerge(tmp) continue if tt == 32: self.set_state(d.getVarInt32()) continue if tt == 48: self.set_only_use_if_required(d.getBoolean()) continue if tt == 58: self.add_read_division_family(d.getPrefixedString()) continue if tt == 66: self.set_write_division_family(d.getPrefixedString()) continue if tt == 72: self.set_disabled_index(d.getBoolean()) continue if tt == 80: self.set_workflow_state(d.getVarInt32()) continue if tt == 90: self.set_error_message(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_id_: res+=prefix+("app_id: %s\n" % self.DebugFormatString(self.app_id_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_definition_: res+=prefix+"definition <\n" res+=self.definition_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_state_: res+=prefix+("state: %s\n" % self.DebugFormatInt32(self.state_)) if self.has_workflow_state_: res+=prefix+("workflow_state: %s\n" % self.DebugFormatInt32(self.workflow_state_)) if self.has_error_message_: res+=prefix+("error_message: %s\n" % self.DebugFormatString(self.error_message_)) if self.has_only_use_if_required_: res+=prefix+("only_use_if_required: %s\n" % self.DebugFormatBool(self.only_use_if_required_)) if self.has_disabled_index_: res+=prefix+("disabled_index: %s\n" % self.DebugFormatBool(self.disabled_index_)) cnt=0 for e in self.read_division_family_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("read_division_family%s: %s\n" % (elm, self.DebugFormatString(e))) cnt+=1 if self.has_write_division_family_: res+=prefix+("write_division_family: %s\n" % self.DebugFormatString(self.write_division_family_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kapp_id = 1 kid = 2 kdefinition = 3 kstate = 4 kworkflow_state = 10 kerror_message = 11 konly_use_if_required = 6 kdisabled_index = 9 kread_division_family = 7 kwrite_division_family = 8 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "app_id", 2: "id", 3: "definition", 4: "state", 6: "only_use_if_required", 7: "read_division_family", 8: "write_division_family", 9: "disabled_index", 10: "workflow_state", 11: "error_message", }, 11) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 6: ProtocolBuffer.Encoder.NUMERIC, 7: ProtocolBuffer.Encoder.STRING, 8: ProtocolBuffer.Encoder.STRING, 9: ProtocolBuffer.Encoder.NUMERIC, 10: ProtocolBuffer.Encoder.NUMERIC, 11: ProtocolBuffer.Encoder.STRING, }, 11, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.CompositeIndex' class SearchIndexEntry(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 has_write_division_family_ = 0 write_division_family_ = "" has_fingerprint_1999_ = 0 fingerprint_1999_ = 0 has_fingerprint_2011_ = 0 fingerprint_2011_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def write_division_family(self): return self.write_division_family_ def set_write_division_family(self, x): self.has_write_division_family_ = 1 self.write_division_family_ = x def clear_write_division_family(self): if self.has_write_division_family_: self.has_write_division_family_ = 0 self.write_division_family_ = "" def has_write_division_family(self): return self.has_write_division_family_ def fingerprint_1999(self): return self.fingerprint_1999_ def set_fingerprint_1999(self, x): self.has_fingerprint_1999_ = 1 self.fingerprint_1999_ = x def clear_fingerprint_1999(self): if self.has_fingerprint_1999_: self.has_fingerprint_1999_ = 0 self.fingerprint_1999_ = 0 def has_fingerprint_1999(self): return self.has_fingerprint_1999_ def fingerprint_2011(self): return self.fingerprint_2011_ def set_fingerprint_2011(self, x): self.has_fingerprint_2011_ = 1 self.fingerprint_2011_ = x def clear_fingerprint_2011(self): if self.has_fingerprint_2011_: self.has_fingerprint_2011_ = 0 self.fingerprint_2011_ = 0 def has_fingerprint_2011(self): return self.has_fingerprint_2011_ def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) if (x.has_write_division_family()): self.set_write_division_family(x.write_division_family()) if (x.has_fingerprint_1999()): self.set_fingerprint_1999(x.fingerprint_1999()) if (x.has_fingerprint_2011()): self.set_fingerprint_2011(x.fingerprint_2011()) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if self.has_write_division_family_ != x.has_write_division_family_: return 0 if self.has_write_division_family_ and self.write_division_family_ != x.write_division_family_: return 0 if self.has_fingerprint_1999_ != x.has_fingerprint_1999_: return 0 if self.has_fingerprint_1999_ and self.fingerprint_1999_ != x.fingerprint_1999_: return 0 if self.has_fingerprint_2011_ != x.has_fingerprint_2011_: return 0 if self.has_fingerprint_2011_ and self.fingerprint_2011_ != x.fingerprint_2011_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') if (not self.has_write_division_family_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: write_division_family not set.') return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += self.lengthString(len(self.write_division_family_)) if (self.has_fingerprint_1999_): n += 9 if (self.has_fingerprint_2011_): n += 9 return n + 2 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) if (self.has_write_division_family_): n += 1 n += self.lengthString(len(self.write_division_family_)) if (self.has_fingerprint_1999_): n += 9 if (self.has_fingerprint_2011_): n += 9 return n def Clear(self): self.clear_index_id() self.clear_write_division_family() self.clear_fingerprint_1999() self.clear_fingerprint_2011() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) out.putVarInt32(18) out.putPrefixedString(self.write_division_family_) if (self.has_fingerprint_1999_): out.putVarInt32(25) out.put64(self.fingerprint_1999_) if (self.has_fingerprint_2011_): out.putVarInt32(33) out.put64(self.fingerprint_2011_) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) if (self.has_write_division_family_): out.putVarInt32(18) out.putPrefixedString(self.write_division_family_) if (self.has_fingerprint_1999_): out.putVarInt32(25) out.put64(self.fingerprint_1999_) if (self.has_fingerprint_2011_): out.putVarInt32(33) out.put64(self.fingerprint_2011_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: self.set_write_division_family(d.getPrefixedString()) continue if tt == 25: self.set_fingerprint_1999(d.get64()) continue if tt == 33: self.set_fingerprint_2011(d.get64()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) if self.has_write_division_family_: res+=prefix+("write_division_family: %s\n" % self.DebugFormatString(self.write_division_family_)) if self.has_fingerprint_1999_: res+=prefix+("fingerprint_1999: %s\n" % self.DebugFormatFixed64(self.fingerprint_1999_)) if self.has_fingerprint_2011_: res+=prefix+("fingerprint_2011: %s\n" % self.DebugFormatFixed64(self.fingerprint_2011_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kwrite_division_family = 2 kfingerprint_1999 = 3 kfingerprint_2011 = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "write_division_family", 3: "fingerprint_1999", 4: "fingerprint_2011", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.DOUBLE, 4: ProtocolBuffer.Encoder.DOUBLE, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.SearchIndexEntry' class SearchIndexExternalId(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 has_primary_key_ = 0 def __init__(self, contents=None): self.primary_key_ = Reference() if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def primary_key(self): return self.primary_key_ def mutable_primary_key(self): self.has_primary_key_ = 1; return self.primary_key_ def clear_primary_key(self):self.has_primary_key_ = 0; self.primary_key_.Clear() def has_primary_key(self): return self.has_primary_key_ def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) if (x.has_primary_key()): self.mutable_primary_key().MergeFrom(x.primary_key()) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if self.has_primary_key_ != x.has_primary_key_: return 0 if self.has_primary_key_ and self.primary_key_ != x.primary_key_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') if (not self.has_primary_key_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: primary_key not set.') elif not self.primary_key_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += self.lengthString(self.primary_key_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) if (self.has_primary_key_): n += 1 n += self.lengthString(self.primary_key_.ByteSizePartial()) return n def Clear(self): self.clear_index_id() self.clear_primary_key() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) out.putVarInt32(18) out.putVarInt32(self.primary_key_.ByteSize()) self.primary_key_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) if (self.has_primary_key_): out.putVarInt32(18) out.putVarInt32(self.primary_key_.ByteSizePartial()) self.primary_key_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_primary_key().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) if self.has_primary_key_: res+=prefix+"primary_key <\n" res+=self.primary_key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kprimary_key = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "primary_key", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.SearchIndexExternalId' class IndexPostfix_IndexValue(ProtocolBuffer.ProtocolMessage): has_property_name_ = 0 property_name_ = "" has_value_ = 0 def __init__(self, contents=None): self.value_ = PropertyValue() if contents is not None: self.MergeFromString(contents) def property_name(self): return self.property_name_ def set_property_name(self, x): self.has_property_name_ = 1 self.property_name_ = x def clear_property_name(self): if self.has_property_name_: self.has_property_name_ = 0 self.property_name_ = "" def has_property_name(self): return self.has_property_name_ def value(self): return self.value_ def mutable_value(self): self.has_value_ = 1; return self.value_ def clear_value(self):self.has_value_ = 0; self.value_.Clear() def has_value(self): return self.has_value_ def MergeFrom(self, x): assert x is not self if (x.has_property_name()): self.set_property_name(x.property_name()) if (x.has_value()): self.mutable_value().MergeFrom(x.value()) def Equals(self, x): if x is self: return 1 if self.has_property_name_ != x.has_property_name_: return 0 if self.has_property_name_ and self.property_name_ != x.property_name_: return 0 if self.has_value_ != x.has_value_: return 0 if self.has_value_ and self.value_ != x.value_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_property_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: property_name not set.') if (not self.has_value_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: value not set.') elif not self.value_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.property_name_)) n += self.lengthString(self.value_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_property_name_): n += 1 n += self.lengthString(len(self.property_name_)) if (self.has_value_): n += 1 n += self.lengthString(self.value_.ByteSizePartial()) return n def Clear(self): self.clear_property_name() self.clear_value() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.property_name_) out.putVarInt32(18) out.putVarInt32(self.value_.ByteSize()) self.value_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_property_name_): out.putVarInt32(10) out.putPrefixedString(self.property_name_) if (self.has_value_): out.putVarInt32(18) out.putVarInt32(self.value_.ByteSizePartial()) self.value_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_property_name(d.getPrefixedString()) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_value().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_property_name_: res+=prefix+("property_name: %s\n" % self.DebugFormatString(self.property_name_)) if self.has_value_: res+=prefix+"value <\n" res+=self.value_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kproperty_name = 1 kvalue = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "property_name", 2: "value", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPostfix_IndexValue' class IndexPostfix(ProtocolBuffer.ProtocolMessage): has_key_ = 0 key_ = None has_before_ = 0 before_ = 1 has_before_ascending_ = 0 before_ascending_ = 0 def __init__(self, contents=None): self.index_value_ = [] self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def index_value_size(self): return len(self.index_value_) def index_value_list(self): return self.index_value_ def index_value(self, i): return self.index_value_[i] def mutable_index_value(self, i): return self.index_value_[i] def add_index_value(self): x = IndexPostfix_IndexValue() self.index_value_.append(x) return x def clear_index_value(self): self.index_value_ = [] def key(self): if self.key_ is None: self.lazy_init_lock_.acquire() try: if self.key_ is None: self.key_ = Reference() finally: self.lazy_init_lock_.release() return self.key_ def mutable_key(self): self.has_key_ = 1; return self.key() def clear_key(self): if self.has_key_: self.has_key_ = 0; if self.key_ is not None: self.key_.Clear() def has_key(self): return self.has_key_ def before(self): return self.before_ def set_before(self, x): self.has_before_ = 1 self.before_ = x def clear_before(self): if self.has_before_: self.has_before_ = 0 self.before_ = 1 def has_before(self): return self.has_before_ def before_ascending(self): return self.before_ascending_ def set_before_ascending(self, x): self.has_before_ascending_ = 1 self.before_ascending_ = x def clear_before_ascending(self): if self.has_before_ascending_: self.has_before_ascending_ = 0 self.before_ascending_ = 0 def has_before_ascending(self): return self.has_before_ascending_ def MergeFrom(self, x): assert x is not self for i in xrange(x.index_value_size()): self.add_index_value().CopyFrom(x.index_value(i)) if (x.has_key()): self.mutable_key().MergeFrom(x.key()) if (x.has_before()): self.set_before(x.before()) if (x.has_before_ascending()): self.set_before_ascending(x.before_ascending()) def Equals(self, x): if x is self: return 1 if len(self.index_value_) != len(x.index_value_): return 0 for e1, e2 in zip(self.index_value_, x.index_value_): if e1 != e2: return 0 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_before_ != x.has_before_: return 0 if self.has_before_ and self.before_ != x.before_: return 0 if self.has_before_ascending_ != x.has_before_ascending_: return 0 if self.has_before_ascending_ and self.before_ascending_ != x.before_ascending_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 for p in self.index_value_: if not p.IsInitialized(debug_strs): initialized=0 if (self.has_key_ and not self.key_.IsInitialized(debug_strs)): initialized = 0 return initialized def ByteSize(self): n = 0 n += 1 * len(self.index_value_) for i in xrange(len(self.index_value_)): n += self.lengthString(self.index_value_[i].ByteSize()) if (self.has_key_): n += 1 + self.lengthString(self.key_.ByteSize()) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def ByteSizePartial(self): n = 0 n += 1 * len(self.index_value_) for i in xrange(len(self.index_value_)): n += self.lengthString(self.index_value_[i].ByteSizePartial()) if (self.has_key_): n += 1 + self.lengthString(self.key_.ByteSizePartial()) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def Clear(self): self.clear_index_value() self.clear_key() self.clear_before() self.clear_before_ascending() def OutputUnchecked(self, out): for i in xrange(len(self.index_value_)): out.putVarInt32(10) out.putVarInt32(self.index_value_[i].ByteSize()) self.index_value_[i].OutputUnchecked(out) if (self.has_key_): out.putVarInt32(18) out.putVarInt32(self.key_.ByteSize()) self.key_.OutputUnchecked(out) if (self.has_before_): out.putVarInt32(24) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(32) out.putBoolean(self.before_ascending_) def OutputPartial(self, out): for i in xrange(len(self.index_value_)): out.putVarInt32(10) out.putVarInt32(self.index_value_[i].ByteSizePartial()) self.index_value_[i].OutputPartial(out) if (self.has_key_): out.putVarInt32(18) out.putVarInt32(self.key_.ByteSizePartial()) self.key_.OutputPartial(out) if (self.has_before_): out.putVarInt32(24) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(32) out.putBoolean(self.before_ascending_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_index_value().TryMerge(tmp) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_key().TryMerge(tmp) continue if tt == 24: self.set_before(d.getBoolean()) continue if tt == 32: self.set_before_ascending(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" cnt=0 for e in self.index_value_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("index_value%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 if self.has_key_: res+=prefix+"key <\n" res+=self.key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_before_: res+=prefix+("before: %s\n" % self.DebugFormatBool(self.before_)) if self.has_before_ascending_: res+=prefix+("before_ascending: %s\n" % self.DebugFormatBool(self.before_ascending_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_value = 1 kkey = 2 kbefore = 3 kbefore_ascending = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_value", 2: "key", 3: "before", 4: "before_ascending", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.NUMERIC, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPostfix' class IndexPosition(ProtocolBuffer.ProtocolMessage): has_key_ = 0 key_ = "" has_before_ = 0 before_ = 1 has_before_ascending_ = 0 before_ascending_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def key(self): return self.key_ def set_key(self, x): self.has_key_ = 1 self.key_ = x def clear_key(self): if self.has_key_: self.has_key_ = 0 self.key_ = "" def has_key(self): return self.has_key_ def before(self): return self.before_ def set_before(self, x): self.has_before_ = 1 self.before_ = x def clear_before(self): if self.has_before_: self.has_before_ = 0 self.before_ = 1 def has_before(self): return self.has_before_ def before_ascending(self): return self.before_ascending_ def set_before_ascending(self, x): self.has_before_ascending_ = 1 self.before_ascending_ = x def clear_before_ascending(self): if self.has_before_ascending_: self.has_before_ascending_ = 0 self.before_ascending_ = 0 def has_before_ascending(self): return self.has_before_ascending_ def MergeFrom(self, x): assert x is not self if (x.has_key()): self.set_key(x.key()) if (x.has_before()): self.set_before(x.before()) if (x.has_before_ascending()): self.set_before_ascending(x.before_ascending()) def Equals(self, x): if x is self: return 1 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_before_ != x.has_before_: return 0 if self.has_before_ and self.before_ != x.before_: return 0 if self.has_before_ascending_ != x.has_before_ascending_: return 0 if self.has_before_ascending_ and self.before_ascending_ != x.before_ascending_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 return initialized def ByteSize(self): n = 0 if (self.has_key_): n += 1 + self.lengthString(len(self.key_)) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def ByteSizePartial(self): n = 0 if (self.has_key_): n += 1 + self.lengthString(len(self.key_)) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def Clear(self): self.clear_key() self.clear_before() self.clear_before_ascending() def OutputUnchecked(self, out): if (self.has_key_): out.putVarInt32(10) out.putPrefixedString(self.key_) if (self.has_before_): out.putVarInt32(16) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(24) out.putBoolean(self.before_ascending_) def OutputPartial(self, out): if (self.has_key_): out.putVarInt32(10) out.putPrefixedString(self.key_) if (self.has_before_): out.putVarInt32(16) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(24) out.putBoolean(self.before_ascending_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_key(d.getPrefixedString()) continue if tt == 16: self.set_before(d.getBoolean()) continue if tt == 24: self.set_before_ascending(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_key_: res+=prefix+("key: %s\n" % self.DebugFormatString(self.key_)) if self.has_before_: res+=prefix+("before: %s\n" % self.DebugFormatBool(self.before_)) if self.has_before_ascending_: res+=prefix+("before_ascending: %s\n" % self.DebugFormatBool(self.before_ascending_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kkey = 1 kbefore = 2 kbefore_ascending = 3 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "key", 2: "before", 3: "before_ascending", }, 3) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.NUMERIC, }, 3, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPosition' if _extension_runtime: pass __all__ = ['PropertyValue','PropertyValue_ReferenceValuePathElement','PropertyValue_PointValue','PropertyValue_UserValue','PropertyValue_ReferenceValue','Property','Path','Path_Element','Reference','User','EntityProto','CompositeProperty','Index','Index_Property','CompositeIndex','SearchIndexEntry','SearchIndexExternalId','IndexPostfix_IndexValue','IndexPostfix','IndexPosition']

30.10099

381

0.679703

from google.net.proto import ProtocolBuffer import array import dummy_thread as thread __pychecker__ = """maxreturns=0 maxbranches=0 no-callinit unusednames=printElemNumber,debug_strs no-special""" if hasattr(ProtocolBuffer, 'ExtendableProtocolMessage'): _extension_runtime = True _ExtendableProtocolMessage = ProtocolBuffer.ExtendableProtocolMessage else: _extension_runtime = False _ExtendableProtocolMessage = ProtocolBuffer.ProtocolMessage class PropertyValue_ReferenceValuePathElement(ProtocolBuffer.ProtocolMessage): has_type_ = 0 type_ = "" has_id_ = 0 id_ = 0 has_name_ = 0 name_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def type(self): return self.type_ def set_type(self, x): self.has_type_ = 1 self.type_ = x def clear_type(self): if self.has_type_: self.has_type_ = 0 self.type_ = "" def has_type(self): return self.has_type_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def MergeFrom(self, x): assert x is not self if (x.has_type()): self.set_type(x.type()) if (x.has_id()): self.set_id(x.id()) if (x.has_name()): self.set_name(x.name()) def Equals(self, x): if x is self: return 1 if self.has_type_ != x.has_type_: return 0 if self.has_type_ and self.type_ != x.type_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: type not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 2 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 2 + self.lengthString(len(self.name_)) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_type_): n += 1 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 2 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 2 + self.lengthString(len(self.name_)) return n def Clear(self): self.clear_type() self.clear_id() self.clear_name() def OutputUnchecked(self, out): out.putVarInt32(122) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(128) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(138) out.putPrefixedString(self.name_) def OutputPartial(self, out): if (self.has_type_): out.putVarInt32(122) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(128) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(138) out.putPrefixedString(self.name_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 116: break if tt == 122: self.set_type(d.getPrefixedString()) continue if tt == 128: self.set_id(d.getVarInt64()) continue if tt == 138: self.set_name(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_type_: res+=prefix+("type: %s\n" % self.DebugFormatString(self.type_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) return res class PropertyValue_PointValue(ProtocolBuffer.ProtocolMessage): has_x_ = 0 x_ = 0.0 has_y_ = 0 y_ = 0.0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def x(self): return self.x_ def set_x(self, x): self.has_x_ = 1 self.x_ = x def clear_x(self): if self.has_x_: self.has_x_ = 0 self.x_ = 0.0 def has_x(self): return self.has_x_ def y(self): return self.y_ def set_y(self, x): self.has_y_ = 1 self.y_ = x def clear_y(self): if self.has_y_: self.has_y_ = 0 self.y_ = 0.0 def has_y(self): return self.has_y_ def MergeFrom(self, x): assert x is not self if (x.has_x()): self.set_x(x.x()) if (x.has_y()): self.set_y(x.y()) def Equals(self, x): if x is self: return 1 if self.has_x_ != x.has_x_: return 0 if self.has_x_ and self.x_ != x.x_: return 0 if self.has_y_ != x.has_y_: return 0 if self.has_y_ and self.y_ != x.y_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_x_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: x not set.') if (not self.has_y_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: y not set.') return initialized def ByteSize(self): n = 0 return n + 18 def ByteSizePartial(self): n = 0 if (self.has_x_): n += 9 if (self.has_y_): n += 9 return n def Clear(self): self.clear_x() self.clear_y() def OutputUnchecked(self, out): out.putVarInt32(49) out.putDouble(self.x_) out.putVarInt32(57) out.putDouble(self.y_) def OutputPartial(self, out): if (self.has_x_): out.putVarInt32(49) out.putDouble(self.x_) if (self.has_y_): out.putVarInt32(57) out.putDouble(self.y_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 44: break if tt == 49: self.set_x(d.getDouble()) continue if tt == 57: self.set_y(d.getDouble()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_x_: res+=prefix+("x: %s\n" % self.DebugFormat(self.x_)) if self.has_y_: res+=prefix+("y: %s\n" % self.DebugFormat(self.y_)) return res class PropertyValue_UserValue(ProtocolBuffer.ProtocolMessage): has_email_ = 0 email_ = "" has_auth_domain_ = 0 auth_domain_ = "" has_nickname_ = 0 nickname_ = "" has_gaiaid_ = 0 gaiaid_ = 0 has_obfuscated_gaiaid_ = 0 obfuscated_gaiaid_ = "" has_federated_identity_ = 0 federated_identity_ = "" has_federated_provider_ = 0 federated_provider_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def email(self): return self.email_ def set_email(self, x): self.has_email_ = 1 self.email_ = x def clear_email(self): if self.has_email_: self.has_email_ = 0 self.email_ = "" def has_email(self): return self.has_email_ def auth_domain(self): return self.auth_domain_ def set_auth_domain(self, x): self.has_auth_domain_ = 1 self.auth_domain_ = x def clear_auth_domain(self): if self.has_auth_domain_: self.has_auth_domain_ = 0 self.auth_domain_ = "" def has_auth_domain(self): return self.has_auth_domain_ def nickname(self): return self.nickname_ def set_nickname(self, x): self.has_nickname_ = 1 self.nickname_ = x def clear_nickname(self): if self.has_nickname_: self.has_nickname_ = 0 self.nickname_ = "" def has_nickname(self): return self.has_nickname_ def gaiaid(self): return self.gaiaid_ def set_gaiaid(self, x): self.has_gaiaid_ = 1 self.gaiaid_ = x def clear_gaiaid(self): if self.has_gaiaid_: self.has_gaiaid_ = 0 self.gaiaid_ = 0 def has_gaiaid(self): return self.has_gaiaid_ def obfuscated_gaiaid(self): return self.obfuscated_gaiaid_ def set_obfuscated_gaiaid(self, x): self.has_obfuscated_gaiaid_ = 1 self.obfuscated_gaiaid_ = x def clear_obfuscated_gaiaid(self): if self.has_obfuscated_gaiaid_: self.has_obfuscated_gaiaid_ = 0 self.obfuscated_gaiaid_ = "" def has_obfuscated_gaiaid(self): return self.has_obfuscated_gaiaid_ def federated_identity(self): return self.federated_identity_ def set_federated_identity(self, x): self.has_federated_identity_ = 1 self.federated_identity_ = x def clear_federated_identity(self): if self.has_federated_identity_: self.has_federated_identity_ = 0 self.federated_identity_ = "" def has_federated_identity(self): return self.has_federated_identity_ def federated_provider(self): return self.federated_provider_ def set_federated_provider(self, x): self.has_federated_provider_ = 1 self.federated_provider_ = x def clear_federated_provider(self): if self.has_federated_provider_: self.has_federated_provider_ = 0 self.federated_provider_ = "" def has_federated_provider(self): return self.has_federated_provider_ def MergeFrom(self, x): assert x is not self if (x.has_email()): self.set_email(x.email()) if (x.has_auth_domain()): self.set_auth_domain(x.auth_domain()) if (x.has_nickname()): self.set_nickname(x.nickname()) if (x.has_gaiaid()): self.set_gaiaid(x.gaiaid()) if (x.has_obfuscated_gaiaid()): self.set_obfuscated_gaiaid(x.obfuscated_gaiaid()) if (x.has_federated_identity()): self.set_federated_identity(x.federated_identity()) if (x.has_federated_provider()): self.set_federated_provider(x.federated_provider()) def Equals(self, x): if x is self: return 1 if self.has_email_ != x.has_email_: return 0 if self.has_email_ and self.email_ != x.email_: return 0 if self.has_auth_domain_ != x.has_auth_domain_: return 0 if self.has_auth_domain_ and self.auth_domain_ != x.auth_domain_: return 0 if self.has_nickname_ != x.has_nickname_: return 0 if self.has_nickname_ and self.nickname_ != x.nickname_: return 0 if self.has_gaiaid_ != x.has_gaiaid_: return 0 if self.has_gaiaid_ and self.gaiaid_ != x.gaiaid_: return 0 if self.has_obfuscated_gaiaid_ != x.has_obfuscated_gaiaid_: return 0 if self.has_obfuscated_gaiaid_ and self.obfuscated_gaiaid_ != x.obfuscated_gaiaid_: return 0 if self.has_federated_identity_ != x.has_federated_identity_: return 0 if self.has_federated_identity_ and self.federated_identity_ != x.federated_identity_: return 0 if self.has_federated_provider_ != x.has_federated_provider_: return 0 if self.has_federated_provider_ and self.federated_provider_ != x.federated_provider_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_email_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: email not set.') if (not self.has_auth_domain_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: auth_domain not set.') if (not self.has_gaiaid_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: gaiaid not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.email_)) n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 2 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 2 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 2 + self.lengthString(len(self.federated_provider_)) return n + 4 def ByteSizePartial(self): n = 0 if (self.has_email_): n += 1 n += self.lengthString(len(self.email_)) if (self.has_auth_domain_): n += 1 n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) if (self.has_gaiaid_): n += 2 n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 2 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 2 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 2 + self.lengthString(len(self.federated_provider_)) return n def Clear(self): self.clear_email() self.clear_auth_domain() self.clear_nickname() self.clear_gaiaid() self.clear_obfuscated_gaiaid() self.clear_federated_identity() self.clear_federated_provider() def OutputUnchecked(self, out): out.putVarInt32(74) out.putPrefixedString(self.email_) out.putVarInt32(82) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(90) out.putPrefixedString(self.nickname_) out.putVarInt32(144) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(154) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(170) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(178) out.putPrefixedString(self.federated_provider_) def OutputPartial(self, out): if (self.has_email_): out.putVarInt32(74) out.putPrefixedString(self.email_) if (self.has_auth_domain_): out.putVarInt32(82) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(90) out.putPrefixedString(self.nickname_) if (self.has_gaiaid_): out.putVarInt32(144) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(154) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(170) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(178) out.putPrefixedString(self.federated_provider_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 68: break if tt == 74: self.set_email(d.getPrefixedString()) continue if tt == 82: self.set_auth_domain(d.getPrefixedString()) continue if tt == 90: self.set_nickname(d.getPrefixedString()) continue if tt == 144: self.set_gaiaid(d.getVarInt64()) continue if tt == 154: self.set_obfuscated_gaiaid(d.getPrefixedString()) continue if tt == 170: self.set_federated_identity(d.getPrefixedString()) continue if tt == 178: self.set_federated_provider(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_email_: res+=prefix+("email: %s\n" % self.DebugFormatString(self.email_)) if self.has_auth_domain_: res+=prefix+("auth_domain: %s\n" % self.DebugFormatString(self.auth_domain_)) if self.has_nickname_: res+=prefix+("nickname: %s\n" % self.DebugFormatString(self.nickname_)) if self.has_gaiaid_: res+=prefix+("gaiaid: %s\n" % self.DebugFormatInt64(self.gaiaid_)) if self.has_obfuscated_gaiaid_: res+=prefix+("obfuscated_gaiaid: %s\n" % self.DebugFormatString(self.obfuscated_gaiaid_)) if self.has_federated_identity_: res+=prefix+("federated_identity: %s\n" % self.DebugFormatString(self.federated_identity_)) if self.has_federated_provider_: res+=prefix+("federated_provider: %s\n" % self.DebugFormatString(self.federated_provider_)) return res class PropertyValue_ReferenceValue(ProtocolBuffer.ProtocolMessage): has_app_ = 0 app_ = "" has_name_space_ = 0 name_space_ = "" def __init__(self, contents=None): self.pathelement_ = [] if contents is not None: self.MergeFromString(contents) def app(self): return self.app_ def set_app(self, x): self.has_app_ = 1 self.app_ = x def clear_app(self): if self.has_app_: self.has_app_ = 0 self.app_ = "" def has_app(self): return self.has_app_ def name_space(self): return self.name_space_ def set_name_space(self, x): self.has_name_space_ = 1 self.name_space_ = x def clear_name_space(self): if self.has_name_space_: self.has_name_space_ = 0 self.name_space_ = "" def has_name_space(self): return self.has_name_space_ def pathelement_size(self): return len(self.pathelement_) def pathelement_list(self): return self.pathelement_ def pathelement(self, i): return self.pathelement_[i] def mutable_pathelement(self, i): return self.pathelement_[i] def add_pathelement(self): x = PropertyValue_ReferenceValuePathElement() self.pathelement_.append(x) return x def clear_pathelement(self): self.pathelement_ = [] def MergeFrom(self, x): assert x is not self if (x.has_app()): self.set_app(x.app()) if (x.has_name_space()): self.set_name_space(x.name_space()) for i in xrange(x.pathelement_size()): self.add_pathelement().CopyFrom(x.pathelement(i)) def Equals(self, x): if x is self: return 1 if self.has_app_ != x.has_app_: return 0 if self.has_app_ and self.app_ != x.app_: return 0 if self.has_name_space_ != x.has_name_space_: return 0 if self.has_name_space_ and self.name_space_ != x.name_space_: return 0 if len(self.pathelement_) != len(x.pathelement_): return 0 for e1, e2 in zip(self.pathelement_, x.pathelement_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app not set.') for p in self.pathelement_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += 2 * len(self.pathelement_) for i in xrange(len(self.pathelement_)): n += self.pathelement_[i].ByteSize() return n + 1 def ByteSizePartial(self): n = 0 if (self.has_app_): n += 1 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += 2 * len(self.pathelement_) for i in xrange(len(self.pathelement_)): n += self.pathelement_[i].ByteSizePartial() return n def Clear(self): self.clear_app() self.clear_name_space() self.clear_pathelement() def OutputUnchecked(self, out): out.putVarInt32(106) out.putPrefixedString(self.app_) for i in xrange(len(self.pathelement_)): out.putVarInt32(115) self.pathelement_[i].OutputUnchecked(out) out.putVarInt32(116) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def OutputPartial(self, out): if (self.has_app_): out.putVarInt32(106) out.putPrefixedString(self.app_) for i in xrange(len(self.pathelement_)): out.putVarInt32(115) self.pathelement_[i].OutputPartial(out) out.putVarInt32(116) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 100: break if tt == 106: self.set_app(d.getPrefixedString()) continue if tt == 115: self.add_pathelement().TryMerge(d) continue if tt == 162: self.set_name_space(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_: res+=prefix+("app: %s\n" % self.DebugFormatString(self.app_)) if self.has_name_space_: res+=prefix+("name_space: %s\n" % self.DebugFormatString(self.name_space_)) cnt=0 for e in self.pathelement_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("PathElement%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res class PropertyValue(ProtocolBuffer.ProtocolMessage): has_int64value_ = 0 int64value_ = 0 has_booleanvalue_ = 0 booleanvalue_ = 0 has_stringvalue_ = 0 stringvalue_ = "" has_doublevalue_ = 0 doublevalue_ = 0.0 has_pointvalue_ = 0 pointvalue_ = None has_uservalue_ = 0 uservalue_ = None has_referencevalue_ = 0 referencevalue_ = None def __init__(self, contents=None): self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def int64value(self): return self.int64value_ def set_int64value(self, x): self.has_int64value_ = 1 self.int64value_ = x def clear_int64value(self): if self.has_int64value_: self.has_int64value_ = 0 self.int64value_ = 0 def has_int64value(self): return self.has_int64value_ def booleanvalue(self): return self.booleanvalue_ def set_booleanvalue(self, x): self.has_booleanvalue_ = 1 self.booleanvalue_ = x def clear_booleanvalue(self): if self.has_booleanvalue_: self.has_booleanvalue_ = 0 self.booleanvalue_ = 0 def has_booleanvalue(self): return self.has_booleanvalue_ def stringvalue(self): return self.stringvalue_ def set_stringvalue(self, x): self.has_stringvalue_ = 1 self.stringvalue_ = x def clear_stringvalue(self): if self.has_stringvalue_: self.has_stringvalue_ = 0 self.stringvalue_ = "" def has_stringvalue(self): return self.has_stringvalue_ def doublevalue(self): return self.doublevalue_ def set_doublevalue(self, x): self.has_doublevalue_ = 1 self.doublevalue_ = x def clear_doublevalue(self): if self.has_doublevalue_: self.has_doublevalue_ = 0 self.doublevalue_ = 0.0 def has_doublevalue(self): return self.has_doublevalue_ def pointvalue(self): if self.pointvalue_ is None: self.lazy_init_lock_.acquire() try: if self.pointvalue_ is None: self.pointvalue_ = PropertyValue_PointValue() finally: self.lazy_init_lock_.release() return self.pointvalue_ def mutable_pointvalue(self): self.has_pointvalue_ = 1; return self.pointvalue() def clear_pointvalue(self): if self.has_pointvalue_: self.has_pointvalue_ = 0; if self.pointvalue_ is not None: self.pointvalue_.Clear() def has_pointvalue(self): return self.has_pointvalue_ def uservalue(self): if self.uservalue_ is None: self.lazy_init_lock_.acquire() try: if self.uservalue_ is None: self.uservalue_ = PropertyValue_UserValue() finally: self.lazy_init_lock_.release() return self.uservalue_ def mutable_uservalue(self): self.has_uservalue_ = 1; return self.uservalue() def clear_uservalue(self): if self.has_uservalue_: self.has_uservalue_ = 0; if self.uservalue_ is not None: self.uservalue_.Clear() def has_uservalue(self): return self.has_uservalue_ def referencevalue(self): if self.referencevalue_ is None: self.lazy_init_lock_.acquire() try: if self.referencevalue_ is None: self.referencevalue_ = PropertyValue_ReferenceValue() finally: self.lazy_init_lock_.release() return self.referencevalue_ def mutable_referencevalue(self): self.has_referencevalue_ = 1; return self.referencevalue() def clear_referencevalue(self): if self.has_referencevalue_: self.has_referencevalue_ = 0; if self.referencevalue_ is not None: self.referencevalue_.Clear() def has_referencevalue(self): return self.has_referencevalue_ def MergeFrom(self, x): assert x is not self if (x.has_int64value()): self.set_int64value(x.int64value()) if (x.has_booleanvalue()): self.set_booleanvalue(x.booleanvalue()) if (x.has_stringvalue()): self.set_stringvalue(x.stringvalue()) if (x.has_doublevalue()): self.set_doublevalue(x.doublevalue()) if (x.has_pointvalue()): self.mutable_pointvalue().MergeFrom(x.pointvalue()) if (x.has_uservalue()): self.mutable_uservalue().MergeFrom(x.uservalue()) if (x.has_referencevalue()): self.mutable_referencevalue().MergeFrom(x.referencevalue()) def Equals(self, x): if x is self: return 1 if self.has_int64value_ != x.has_int64value_: return 0 if self.has_int64value_ and self.int64value_ != x.int64value_: return 0 if self.has_booleanvalue_ != x.has_booleanvalue_: return 0 if self.has_booleanvalue_ and self.booleanvalue_ != x.booleanvalue_: return 0 if self.has_stringvalue_ != x.has_stringvalue_: return 0 if self.has_stringvalue_ and self.stringvalue_ != x.stringvalue_: return 0 if self.has_doublevalue_ != x.has_doublevalue_: return 0 if self.has_doublevalue_ and self.doublevalue_ != x.doublevalue_: return 0 if self.has_pointvalue_ != x.has_pointvalue_: return 0 if self.has_pointvalue_ and self.pointvalue_ != x.pointvalue_: return 0 if self.has_uservalue_ != x.has_uservalue_: return 0 if self.has_uservalue_ and self.uservalue_ != x.uservalue_: return 0 if self.has_referencevalue_ != x.has_referencevalue_: return 0 if self.has_referencevalue_ and self.referencevalue_ != x.referencevalue_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (self.has_pointvalue_ and not self.pointvalue_.IsInitialized(debug_strs)): initialized = 0 if (self.has_uservalue_ and not self.uservalue_.IsInitialized(debug_strs)): initialized = 0 if (self.has_referencevalue_ and not self.referencevalue_.IsInitialized(debug_strs)): initialized = 0 return initialized def ByteSize(self): n = 0 if (self.has_int64value_): n += 1 + self.lengthVarInt64(self.int64value_) if (self.has_booleanvalue_): n += 2 if (self.has_stringvalue_): n += 1 + self.lengthString(len(self.stringvalue_)) if (self.has_doublevalue_): n += 9 if (self.has_pointvalue_): n += 2 + self.pointvalue_.ByteSize() if (self.has_uservalue_): n += 2 + self.uservalue_.ByteSize() if (self.has_referencevalue_): n += 2 + self.referencevalue_.ByteSize() return n def ByteSizePartial(self): n = 0 if (self.has_int64value_): n += 1 + self.lengthVarInt64(self.int64value_) if (self.has_booleanvalue_): n += 2 if (self.has_stringvalue_): n += 1 + self.lengthString(len(self.stringvalue_)) if (self.has_doublevalue_): n += 9 if (self.has_pointvalue_): n += 2 + self.pointvalue_.ByteSizePartial() if (self.has_uservalue_): n += 2 + self.uservalue_.ByteSizePartial() if (self.has_referencevalue_): n += 2 + self.referencevalue_.ByteSizePartial() return n def Clear(self): self.clear_int64value() self.clear_booleanvalue() self.clear_stringvalue() self.clear_doublevalue() self.clear_pointvalue() self.clear_uservalue() self.clear_referencevalue() def OutputUnchecked(self, out): if (self.has_int64value_): out.putVarInt32(8) out.putVarInt64(self.int64value_) if (self.has_booleanvalue_): out.putVarInt32(16) out.putBoolean(self.booleanvalue_) if (self.has_stringvalue_): out.putVarInt32(26) out.putPrefixedString(self.stringvalue_) if (self.has_doublevalue_): out.putVarInt32(33) out.putDouble(self.doublevalue_) if (self.has_pointvalue_): out.putVarInt32(43) self.pointvalue_.OutputUnchecked(out) out.putVarInt32(44) if (self.has_uservalue_): out.putVarInt32(67) self.uservalue_.OutputUnchecked(out) out.putVarInt32(68) if (self.has_referencevalue_): out.putVarInt32(99) self.referencevalue_.OutputUnchecked(out) out.putVarInt32(100) def OutputPartial(self, out): if (self.has_int64value_): out.putVarInt32(8) out.putVarInt64(self.int64value_) if (self.has_booleanvalue_): out.putVarInt32(16) out.putBoolean(self.booleanvalue_) if (self.has_stringvalue_): out.putVarInt32(26) out.putPrefixedString(self.stringvalue_) if (self.has_doublevalue_): out.putVarInt32(33) out.putDouble(self.doublevalue_) if (self.has_pointvalue_): out.putVarInt32(43) self.pointvalue_.OutputPartial(out) out.putVarInt32(44) if (self.has_uservalue_): out.putVarInt32(67) self.uservalue_.OutputPartial(out) out.putVarInt32(68) if (self.has_referencevalue_): out.putVarInt32(99) self.referencevalue_.OutputPartial(out) out.putVarInt32(100) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_int64value(d.getVarInt64()) continue if tt == 16: self.set_booleanvalue(d.getBoolean()) continue if tt == 26: self.set_stringvalue(d.getPrefixedString()) continue if tt == 33: self.set_doublevalue(d.getDouble()) continue if tt == 43: self.mutable_pointvalue().TryMerge(d) continue if tt == 67: self.mutable_uservalue().TryMerge(d) continue if tt == 99: self.mutable_referencevalue().TryMerge(d) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_int64value_: res+=prefix+("int64Value: %s\n" % self.DebugFormatInt64(self.int64value_)) if self.has_booleanvalue_: res+=prefix+("booleanValue: %s\n" % self.DebugFormatBool(self.booleanvalue_)) if self.has_stringvalue_: res+=prefix+("stringValue: %s\n" % self.DebugFormatString(self.stringvalue_)) if self.has_doublevalue_: res+=prefix+("doubleValue: %s\n" % self.DebugFormat(self.doublevalue_)) if self.has_pointvalue_: res+=prefix+"PointValue {\n" res+=self.pointvalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" if self.has_uservalue_: res+=prefix+"UserValue {\n" res+=self.uservalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" if self.has_referencevalue_: res+=prefix+"ReferenceValue {\n" res+=self.referencevalue_.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kint64Value = 1 kbooleanValue = 2 kstringValue = 3 kdoubleValue = 4 kPointValueGroup = 5 kPointValuex = 6 kPointValuey = 7 kUserValueGroup = 8 kUserValueemail = 9 kUserValueauth_domain = 10 kUserValuenickname = 11 kUserValuegaiaid = 18 kUserValueobfuscated_gaiaid = 19 kUserValuefederated_identity = 21 kUserValuefederated_provider = 22 kReferenceValueGroup = 12 kReferenceValueapp = 13 kReferenceValuename_space = 20 kReferenceValuePathElementGroup = 14 kReferenceValuePathElementtype = 15 kReferenceValuePathElementid = 16 kReferenceValuePathElementname = 17 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "int64Value", 2: "booleanValue", 3: "stringValue", 4: "doubleValue", 5: "PointValue", 6: "x", 7: "y", 8: "UserValue", 9: "email", 10: "auth_domain", 11: "nickname", 12: "ReferenceValue", 13: "app", 14: "PathElement", 15: "type", 16: "id", 17: "name", 18: "gaiaid", 19: "obfuscated_gaiaid", 20: "name_space", 21: "federated_identity", 22: "federated_provider", }, 22) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.DOUBLE, 5: ProtocolBuffer.Encoder.STARTGROUP, 6: ProtocolBuffer.Encoder.DOUBLE, 7: ProtocolBuffer.Encoder.DOUBLE, 8: ProtocolBuffer.Encoder.STARTGROUP, 9: ProtocolBuffer.Encoder.STRING, 10: ProtocolBuffer.Encoder.STRING, 11: ProtocolBuffer.Encoder.STRING, 12: ProtocolBuffer.Encoder.STARTGROUP, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STARTGROUP, 15: ProtocolBuffer.Encoder.STRING, 16: ProtocolBuffer.Encoder.NUMERIC, 17: ProtocolBuffer.Encoder.STRING, 18: ProtocolBuffer.Encoder.NUMERIC, 19: ProtocolBuffer.Encoder.STRING, 20: ProtocolBuffer.Encoder.STRING, 21: ProtocolBuffer.Encoder.STRING, 22: ProtocolBuffer.Encoder.STRING, }, 22, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.PropertyValue' class Property(ProtocolBuffer.ProtocolMessage): NO_MEANING = 0 BLOB = 14 TEXT = 15 BYTESTRING = 16 ATOM_CATEGORY = 1 ATOM_LINK = 2 ATOM_TITLE = 3 ATOM_CONTENT = 4 ATOM_SUMMARY = 5 ATOM_AUTHOR = 6 GD_WHEN = 7 GD_EMAIL = 8 GEORSS_POINT = 9 GD_IM = 10 GD_PHONENUMBER = 11 GD_POSTALADDRESS = 12 GD_RATING = 13 BLOBKEY = 17 ENTITY_PROTO = 19 INDEX_VALUE = 18 _Meaning_NAMES = { 0: "NO_MEANING", 14: "BLOB", 15: "TEXT", 16: "BYTESTRING", 1: "ATOM_CATEGORY", 2: "ATOM_LINK", 3: "ATOM_TITLE", 4: "ATOM_CONTENT", 5: "ATOM_SUMMARY", 6: "ATOM_AUTHOR", 7: "GD_WHEN", 8: "GD_EMAIL", 9: "GEORSS_POINT", 10: "GD_IM", 11: "GD_PHONENUMBER", 12: "GD_POSTALADDRESS", 13: "GD_RATING", 17: "BLOBKEY", 19: "ENTITY_PROTO", 18: "INDEX_VALUE", } def Meaning_Name(cls, x): return cls._Meaning_NAMES.get(x, "") Meaning_Name = classmethod(Meaning_Name) has_meaning_ = 0 meaning_ = 0 has_meaning_uri_ = 0 meaning_uri_ = "" has_name_ = 0 name_ = "" has_value_ = 0 has_multiple_ = 0 multiple_ = 0 has_embedded_ = 0 embedded_ = 0 def __init__(self, contents=None): self.value_ = PropertyValue() if contents is not None: self.MergeFromString(contents) def meaning(self): return self.meaning_ def set_meaning(self, x): self.has_meaning_ = 1 self.meaning_ = x def clear_meaning(self): if self.has_meaning_: self.has_meaning_ = 0 self.meaning_ = 0 def has_meaning(self): return self.has_meaning_ def meaning_uri(self): return self.meaning_uri_ def set_meaning_uri(self, x): self.has_meaning_uri_ = 1 self.meaning_uri_ = x def clear_meaning_uri(self): if self.has_meaning_uri_: self.has_meaning_uri_ = 0 self.meaning_uri_ = "" def has_meaning_uri(self): return self.has_meaning_uri_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def value(self): return self.value_ def mutable_value(self): self.has_value_ = 1; return self.value_ def clear_value(self):self.has_value_ = 0; self.value_.Clear() def has_value(self): return self.has_value_ def multiple(self): return self.multiple_ def set_multiple(self, x): self.has_multiple_ = 1 self.multiple_ = x def clear_multiple(self): if self.has_multiple_: self.has_multiple_ = 0 self.multiple_ = 0 def has_multiple(self): return self.has_multiple_ def embedded(self): return self.embedded_ def set_embedded(self, x): self.has_embedded_ = 1 self.embedded_ = x def clear_embedded(self): if self.has_embedded_: self.has_embedded_ = 0 self.embedded_ = 0 def has_embedded(self): return self.has_embedded_ def MergeFrom(self, x): assert x is not self if (x.has_meaning()): self.set_meaning(x.meaning()) if (x.has_meaning_uri()): self.set_meaning_uri(x.meaning_uri()) if (x.has_name()): self.set_name(x.name()) if (x.has_value()): self.mutable_value().MergeFrom(x.value()) if (x.has_multiple()): self.set_multiple(x.multiple()) if (x.has_embedded()): self.set_embedded(x.embedded()) def Equals(self, x): if x is self: return 1 if self.has_meaning_ != x.has_meaning_: return 0 if self.has_meaning_ and self.meaning_ != x.meaning_: return 0 if self.has_meaning_uri_ != x.has_meaning_uri_: return 0 if self.has_meaning_uri_ and self.meaning_uri_ != x.meaning_uri_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 if self.has_value_ != x.has_value_: return 0 if self.has_value_ and self.value_ != x.value_: return 0 if self.has_multiple_ != x.has_multiple_: return 0 if self.has_multiple_ and self.multiple_ != x.multiple_: return 0 if self.has_embedded_ != x.has_embedded_: return 0 if self.has_embedded_ and self.embedded_ != x.embedded_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: name not set.') if (not self.has_value_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: value not set.') elif not self.value_.IsInitialized(debug_strs): initialized = 0 if (not self.has_multiple_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: multiple not set.') return initialized def ByteSize(self): n = 0 if (self.has_meaning_): n += 1 + self.lengthVarInt64(self.meaning_) if (self.has_meaning_uri_): n += 1 + self.lengthString(len(self.meaning_uri_)) n += self.lengthString(len(self.name_)) n += self.lengthString(self.value_.ByteSize()) if (self.has_embedded_): n += 2 return n + 4 def ByteSizePartial(self): n = 0 if (self.has_meaning_): n += 1 + self.lengthVarInt64(self.meaning_) if (self.has_meaning_uri_): n += 1 + self.lengthString(len(self.meaning_uri_)) if (self.has_name_): n += 1 n += self.lengthString(len(self.name_)) if (self.has_value_): n += 1 n += self.lengthString(self.value_.ByteSizePartial()) if (self.has_multiple_): n += 2 if (self.has_embedded_): n += 2 return n def Clear(self): self.clear_meaning() self.clear_meaning_uri() self.clear_name() self.clear_value() self.clear_multiple() self.clear_embedded() def OutputUnchecked(self, out): if (self.has_meaning_): out.putVarInt32(8) out.putVarInt32(self.meaning_) if (self.has_meaning_uri_): out.putVarInt32(18) out.putPrefixedString(self.meaning_uri_) out.putVarInt32(26) out.putPrefixedString(self.name_) out.putVarInt32(32) out.putBoolean(self.multiple_) out.putVarInt32(42) out.putVarInt32(self.value_.ByteSize()) self.value_.OutputUnchecked(out) if (self.has_embedded_): out.putVarInt32(48) out.putBoolean(self.embedded_) def OutputPartial(self, out): if (self.has_meaning_): out.putVarInt32(8) out.putVarInt32(self.meaning_) if (self.has_meaning_uri_): out.putVarInt32(18) out.putPrefixedString(self.meaning_uri_) if (self.has_name_): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_multiple_): out.putVarInt32(32) out.putBoolean(self.multiple_) if (self.has_value_): out.putVarInt32(42) out.putVarInt32(self.value_.ByteSizePartial()) self.value_.OutputPartial(out) if (self.has_embedded_): out.putVarInt32(48) out.putBoolean(self.embedded_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_meaning(d.getVarInt32()) continue if tt == 18: self.set_meaning_uri(d.getPrefixedString()) continue if tt == 26: self.set_name(d.getPrefixedString()) continue if tt == 32: self.set_multiple(d.getBoolean()) continue if tt == 42: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_value().TryMerge(tmp) continue if tt == 48: self.set_embedded(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_meaning_: res+=prefix+("meaning: %s\n" % self.DebugFormatInt32(self.meaning_)) if self.has_meaning_uri_: res+=prefix+("meaning_uri: %s\n" % self.DebugFormatString(self.meaning_uri_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) if self.has_value_: res+=prefix+"value <\n" res+=self.value_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_multiple_: res+=prefix+("multiple: %s\n" % self.DebugFormatBool(self.multiple_)) if self.has_embedded_: res+=prefix+("embedded: %s\n" % self.DebugFormatBool(self.embedded_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kmeaning = 1 kmeaning_uri = 2 kname = 3 kvalue = 5 kmultiple = 4 kembedded = 6 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "meaning", 2: "meaning_uri", 3: "name", 4: "multiple", 5: "value", 6: "embedded", }, 6) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 6: ProtocolBuffer.Encoder.NUMERIC, }, 6, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Property' class Path_Element(ProtocolBuffer.ProtocolMessage): has_type_ = 0 type_ = "" has_id_ = 0 id_ = 0 has_name_ = 0 name_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def type(self): return self.type_ def set_type(self, x): self.has_type_ = 1 self.type_ = x def clear_type(self): if self.has_type_: self.has_type_ = 0 self.type_ = "" def has_type(self): return self.has_type_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def MergeFrom(self, x): assert x is not self if (x.has_type()): self.set_type(x.type()) if (x.has_id()): self.set_id(x.id()) if (x.has_name()): self.set_name(x.name()) def Equals(self, x): if x is self: return 1 if self.has_type_ != x.has_type_: return 0 if self.has_type_ and self.type_ != x.type_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: type not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 1 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 1 + self.lengthString(len(self.name_)) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_type_): n += 1 n += self.lengthString(len(self.type_)) if (self.has_id_): n += 1 + self.lengthVarInt64(self.id_) if (self.has_name_): n += 1 + self.lengthString(len(self.name_)) return n def Clear(self): self.clear_type() self.clear_id() self.clear_name() def OutputUnchecked(self, out): out.putVarInt32(18) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(24) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(34) out.putPrefixedString(self.name_) def OutputPartial(self, out): if (self.has_type_): out.putVarInt32(18) out.putPrefixedString(self.type_) if (self.has_id_): out.putVarInt32(24) out.putVarInt64(self.id_) if (self.has_name_): out.putVarInt32(34) out.putPrefixedString(self.name_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 12: break if tt == 18: self.set_type(d.getPrefixedString()) continue if tt == 24: self.set_id(d.getVarInt64()) continue if tt == 34: self.set_name(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_type_: res+=prefix+("type: %s\n" % self.DebugFormatString(self.type_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) return res class Path(ProtocolBuffer.ProtocolMessage): def __init__(self, contents=None): self.element_ = [] if contents is not None: self.MergeFromString(contents) def element_size(self): return len(self.element_) def element_list(self): return self.element_ def element(self, i): return self.element_[i] def mutable_element(self, i): return self.element_[i] def add_element(self): x = Path_Element() self.element_.append(x) return x def clear_element(self): self.element_ = [] def MergeFrom(self, x): assert x is not self for i in xrange(x.element_size()): self.add_element().CopyFrom(x.element(i)) def Equals(self, x): if x is self: return 1 if len(self.element_) != len(x.element_): return 0 for e1, e2 in zip(self.element_, x.element_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 for p in self.element_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += 2 * len(self.element_) for i in xrange(len(self.element_)): n += self.element_[i].ByteSize() return n def ByteSizePartial(self): n = 0 n += 2 * len(self.element_) for i in xrange(len(self.element_)): n += self.element_[i].ByteSizePartial() return n def Clear(self): self.clear_element() def OutputUnchecked(self, out): for i in xrange(len(self.element_)): out.putVarInt32(11) self.element_[i].OutputUnchecked(out) out.putVarInt32(12) def OutputPartial(self, out): for i in xrange(len(self.element_)): out.putVarInt32(11) self.element_[i].OutputPartial(out) out.putVarInt32(12) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 11: self.add_element().TryMerge(d) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" cnt=0 for e in self.element_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("Element%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kElementGroup = 1 kElementtype = 2 kElementid = 3 kElementname = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "Element", 2: "type", 3: "id", 4: "name", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STARTGROUP, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.STRING, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Path' class Reference(ProtocolBuffer.ProtocolMessage): has_app_ = 0 app_ = "" has_name_space_ = 0 name_space_ = "" has_path_ = 0 def __init__(self, contents=None): self.path_ = Path() if contents is not None: self.MergeFromString(contents) def app(self): return self.app_ def set_app(self, x): self.has_app_ = 1 self.app_ = x def clear_app(self): if self.has_app_: self.has_app_ = 0 self.app_ = "" def has_app(self): return self.has_app_ def name_space(self): return self.name_space_ def set_name_space(self, x): self.has_name_space_ = 1 self.name_space_ = x def clear_name_space(self): if self.has_name_space_: self.has_name_space_ = 0 self.name_space_ = "" def has_name_space(self): return self.has_name_space_ def path(self): return self.path_ def mutable_path(self): self.has_path_ = 1; return self.path_ def clear_path(self):self.has_path_ = 0; self.path_.Clear() def has_path(self): return self.has_path_ def MergeFrom(self, x): assert x is not self if (x.has_app()): self.set_app(x.app()) if (x.has_name_space()): self.set_name_space(x.name_space()) if (x.has_path()): self.mutable_path().MergeFrom(x.path()) def Equals(self, x): if x is self: return 1 if self.has_app_ != x.has_app_: return 0 if self.has_app_ and self.app_ != x.app_: return 0 if self.has_name_space_ != x.has_name_space_: return 0 if self.has_name_space_ and self.name_space_ != x.name_space_: return 0 if self.has_path_ != x.has_path_: return 0 if self.has_path_ and self.path_ != x.path_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app not set.') if (not self.has_path_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: path not set.') elif not self.path_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) n += self.lengthString(self.path_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_app_): n += 1 n += self.lengthString(len(self.app_)) if (self.has_name_space_): n += 2 + self.lengthString(len(self.name_space_)) if (self.has_path_): n += 1 n += self.lengthString(self.path_.ByteSizePartial()) return n def Clear(self): self.clear_app() self.clear_name_space() self.clear_path() def OutputUnchecked(self, out): out.putVarInt32(106) out.putPrefixedString(self.app_) out.putVarInt32(114) out.putVarInt32(self.path_.ByteSize()) self.path_.OutputUnchecked(out) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def OutputPartial(self, out): if (self.has_app_): out.putVarInt32(106) out.putPrefixedString(self.app_) if (self.has_path_): out.putVarInt32(114) out.putVarInt32(self.path_.ByteSizePartial()) self.path_.OutputPartial(out) if (self.has_name_space_): out.putVarInt32(162) out.putPrefixedString(self.name_space_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 106: self.set_app(d.getPrefixedString()) continue if tt == 114: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_path().TryMerge(tmp) continue if tt == 162: self.set_name_space(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_: res+=prefix+("app: %s\n" % self.DebugFormatString(self.app_)) if self.has_name_space_: res+=prefix+("name_space: %s\n" % self.DebugFormatString(self.name_space_)) if self.has_path_: res+=prefix+"path <\n" res+=self.path_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kapp = 13 kname_space = 20 kpath = 14 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 13: "app", 14: "path", 20: "name_space", }, 20) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STRING, 20: ProtocolBuffer.Encoder.STRING, }, 20, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Reference' class User(ProtocolBuffer.ProtocolMessage): has_email_ = 0 email_ = "" has_auth_domain_ = 0 auth_domain_ = "" has_nickname_ = 0 nickname_ = "" has_gaiaid_ = 0 gaiaid_ = 0 has_obfuscated_gaiaid_ = 0 obfuscated_gaiaid_ = "" has_federated_identity_ = 0 federated_identity_ = "" has_federated_provider_ = 0 federated_provider_ = "" def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def email(self): return self.email_ def set_email(self, x): self.has_email_ = 1 self.email_ = x def clear_email(self): if self.has_email_: self.has_email_ = 0 self.email_ = "" def has_email(self): return self.has_email_ def auth_domain(self): return self.auth_domain_ def set_auth_domain(self, x): self.has_auth_domain_ = 1 self.auth_domain_ = x def clear_auth_domain(self): if self.has_auth_domain_: self.has_auth_domain_ = 0 self.auth_domain_ = "" def has_auth_domain(self): return self.has_auth_domain_ def nickname(self): return self.nickname_ def set_nickname(self, x): self.has_nickname_ = 1 self.nickname_ = x def clear_nickname(self): if self.has_nickname_: self.has_nickname_ = 0 self.nickname_ = "" def has_nickname(self): return self.has_nickname_ def gaiaid(self): return self.gaiaid_ def set_gaiaid(self, x): self.has_gaiaid_ = 1 self.gaiaid_ = x def clear_gaiaid(self): if self.has_gaiaid_: self.has_gaiaid_ = 0 self.gaiaid_ = 0 def has_gaiaid(self): return self.has_gaiaid_ def obfuscated_gaiaid(self): return self.obfuscated_gaiaid_ def set_obfuscated_gaiaid(self, x): self.has_obfuscated_gaiaid_ = 1 self.obfuscated_gaiaid_ = x def clear_obfuscated_gaiaid(self): if self.has_obfuscated_gaiaid_: self.has_obfuscated_gaiaid_ = 0 self.obfuscated_gaiaid_ = "" def has_obfuscated_gaiaid(self): return self.has_obfuscated_gaiaid_ def federated_identity(self): return self.federated_identity_ def set_federated_identity(self, x): self.has_federated_identity_ = 1 self.federated_identity_ = x def clear_federated_identity(self): if self.has_federated_identity_: self.has_federated_identity_ = 0 self.federated_identity_ = "" def has_federated_identity(self): return self.has_federated_identity_ def federated_provider(self): return self.federated_provider_ def set_federated_provider(self, x): self.has_federated_provider_ = 1 self.federated_provider_ = x def clear_federated_provider(self): if self.has_federated_provider_: self.has_federated_provider_ = 0 self.federated_provider_ = "" def has_federated_provider(self): return self.has_federated_provider_ def MergeFrom(self, x): assert x is not self if (x.has_email()): self.set_email(x.email()) if (x.has_auth_domain()): self.set_auth_domain(x.auth_domain()) if (x.has_nickname()): self.set_nickname(x.nickname()) if (x.has_gaiaid()): self.set_gaiaid(x.gaiaid()) if (x.has_obfuscated_gaiaid()): self.set_obfuscated_gaiaid(x.obfuscated_gaiaid()) if (x.has_federated_identity()): self.set_federated_identity(x.federated_identity()) if (x.has_federated_provider()): self.set_federated_provider(x.federated_provider()) def Equals(self, x): if x is self: return 1 if self.has_email_ != x.has_email_: return 0 if self.has_email_ and self.email_ != x.email_: return 0 if self.has_auth_domain_ != x.has_auth_domain_: return 0 if self.has_auth_domain_ and self.auth_domain_ != x.auth_domain_: return 0 if self.has_nickname_ != x.has_nickname_: return 0 if self.has_nickname_ and self.nickname_ != x.nickname_: return 0 if self.has_gaiaid_ != x.has_gaiaid_: return 0 if self.has_gaiaid_ and self.gaiaid_ != x.gaiaid_: return 0 if self.has_obfuscated_gaiaid_ != x.has_obfuscated_gaiaid_: return 0 if self.has_obfuscated_gaiaid_ and self.obfuscated_gaiaid_ != x.obfuscated_gaiaid_: return 0 if self.has_federated_identity_ != x.has_federated_identity_: return 0 if self.has_federated_identity_ and self.federated_identity_ != x.federated_identity_: return 0 if self.has_federated_provider_ != x.has_federated_provider_: return 0 if self.has_federated_provider_ and self.federated_provider_ != x.federated_provider_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_email_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: email not set.') if (not self.has_auth_domain_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: auth_domain not set.') if (not self.has_gaiaid_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: gaiaid not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.email_)) n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 1 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 1 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 1 + self.lengthString(len(self.federated_provider_)) return n + 3 def ByteSizePartial(self): n = 0 if (self.has_email_): n += 1 n += self.lengthString(len(self.email_)) if (self.has_auth_domain_): n += 1 n += self.lengthString(len(self.auth_domain_)) if (self.has_nickname_): n += 1 + self.lengthString(len(self.nickname_)) if (self.has_gaiaid_): n += 1 n += self.lengthVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): n += 1 + self.lengthString(len(self.obfuscated_gaiaid_)) if (self.has_federated_identity_): n += 1 + self.lengthString(len(self.federated_identity_)) if (self.has_federated_provider_): n += 1 + self.lengthString(len(self.federated_provider_)) return n def Clear(self): self.clear_email() self.clear_auth_domain() self.clear_nickname() self.clear_gaiaid() self.clear_obfuscated_gaiaid() self.clear_federated_identity() self.clear_federated_provider() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.email_) out.putVarInt32(18) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(26) out.putPrefixedString(self.nickname_) out.putVarInt32(32) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(42) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(50) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(58) out.putPrefixedString(self.federated_provider_) def OutputPartial(self, out): if (self.has_email_): out.putVarInt32(10) out.putPrefixedString(self.email_) if (self.has_auth_domain_): out.putVarInt32(18) out.putPrefixedString(self.auth_domain_) if (self.has_nickname_): out.putVarInt32(26) out.putPrefixedString(self.nickname_) if (self.has_gaiaid_): out.putVarInt32(32) out.putVarInt64(self.gaiaid_) if (self.has_obfuscated_gaiaid_): out.putVarInt32(42) out.putPrefixedString(self.obfuscated_gaiaid_) if (self.has_federated_identity_): out.putVarInt32(50) out.putPrefixedString(self.federated_identity_) if (self.has_federated_provider_): out.putVarInt32(58) out.putPrefixedString(self.federated_provider_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_email(d.getPrefixedString()) continue if tt == 18: self.set_auth_domain(d.getPrefixedString()) continue if tt == 26: self.set_nickname(d.getPrefixedString()) continue if tt == 32: self.set_gaiaid(d.getVarInt64()) continue if tt == 42: self.set_obfuscated_gaiaid(d.getPrefixedString()) continue if tt == 50: self.set_federated_identity(d.getPrefixedString()) continue if tt == 58: self.set_federated_provider(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_email_: res+=prefix+("email: %s\n" % self.DebugFormatString(self.email_)) if self.has_auth_domain_: res+=prefix+("auth_domain: %s\n" % self.DebugFormatString(self.auth_domain_)) if self.has_nickname_: res+=prefix+("nickname: %s\n" % self.DebugFormatString(self.nickname_)) if self.has_gaiaid_: res+=prefix+("gaiaid: %s\n" % self.DebugFormatInt64(self.gaiaid_)) if self.has_obfuscated_gaiaid_: res+=prefix+("obfuscated_gaiaid: %s\n" % self.DebugFormatString(self.obfuscated_gaiaid_)) if self.has_federated_identity_: res+=prefix+("federated_identity: %s\n" % self.DebugFormatString(self.federated_identity_)) if self.has_federated_provider_: res+=prefix+("federated_provider: %s\n" % self.DebugFormatString(self.federated_provider_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kemail = 1 kauth_domain = 2 knickname = 3 kgaiaid = 4 kobfuscated_gaiaid = 5 kfederated_identity = 6 kfederated_provider = 7 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "email", 2: "auth_domain", 3: "nickname", 4: "gaiaid", 5: "obfuscated_gaiaid", 6: "federated_identity", 7: "federated_provider", }, 7) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 6: ProtocolBuffer.Encoder.STRING, 7: ProtocolBuffer.Encoder.STRING, }, 7, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.User' class EntityProto(ProtocolBuffer.ProtocolMessage): GD_CONTACT = 1 GD_EVENT = 2 GD_MESSAGE = 3 _Kind_NAMES = { 1: "GD_CONTACT", 2: "GD_EVENT", 3: "GD_MESSAGE", } def Kind_Name(cls, x): return cls._Kind_NAMES.get(x, "") Kind_Name = classmethod(Kind_Name) has_key_ = 0 has_entity_group_ = 0 has_owner_ = 0 owner_ = None has_kind_ = 0 kind_ = 0 has_kind_uri_ = 0 kind_uri_ = "" def __init__(self, contents=None): self.key_ = Reference() self.entity_group_ = Path() self.property_ = [] self.raw_property_ = [] self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def key(self): return self.key_ def mutable_key(self): self.has_key_ = 1; return self.key_ def clear_key(self):self.has_key_ = 0; self.key_.Clear() def has_key(self): return self.has_key_ def entity_group(self): return self.entity_group_ def mutable_entity_group(self): self.has_entity_group_ = 1; return self.entity_group_ def clear_entity_group(self):self.has_entity_group_ = 0; self.entity_group_.Clear() def has_entity_group(self): return self.has_entity_group_ def owner(self): if self.owner_ is None: self.lazy_init_lock_.acquire() try: if self.owner_ is None: self.owner_ = User() finally: self.lazy_init_lock_.release() return self.owner_ def mutable_owner(self): self.has_owner_ = 1; return self.owner() def clear_owner(self): if self.has_owner_: self.has_owner_ = 0; if self.owner_ is not None: self.owner_.Clear() def has_owner(self): return self.has_owner_ def kind(self): return self.kind_ def set_kind(self, x): self.has_kind_ = 1 self.kind_ = x def clear_kind(self): if self.has_kind_: self.has_kind_ = 0 self.kind_ = 0 def has_kind(self): return self.has_kind_ def kind_uri(self): return self.kind_uri_ def set_kind_uri(self, x): self.has_kind_uri_ = 1 self.kind_uri_ = x def clear_kind_uri(self): if self.has_kind_uri_: self.has_kind_uri_ = 0 self.kind_uri_ = "" def has_kind_uri(self): return self.has_kind_uri_ def property_size(self): return len(self.property_) def property_list(self): return self.property_ def property(self, i): return self.property_[i] def mutable_property(self, i): return self.property_[i] def add_property(self): x = Property() self.property_.append(x) return x def clear_property(self): self.property_ = [] def raw_property_size(self): return len(self.raw_property_) def raw_property_list(self): return self.raw_property_ def raw_property(self, i): return self.raw_property_[i] def mutable_raw_property(self, i): return self.raw_property_[i] def add_raw_property(self): x = Property() self.raw_property_.append(x) return x def clear_raw_property(self): self.raw_property_ = [] def MergeFrom(self, x): assert x is not self if (x.has_key()): self.mutable_key().MergeFrom(x.key()) if (x.has_entity_group()): self.mutable_entity_group().MergeFrom(x.entity_group()) if (x.has_owner()): self.mutable_owner().MergeFrom(x.owner()) if (x.has_kind()): self.set_kind(x.kind()) if (x.has_kind_uri()): self.set_kind_uri(x.kind_uri()) for i in xrange(x.property_size()): self.add_property().CopyFrom(x.property(i)) for i in xrange(x.raw_property_size()): self.add_raw_property().CopyFrom(x.raw_property(i)) def Equals(self, x): if x is self: return 1 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_entity_group_ != x.has_entity_group_: return 0 if self.has_entity_group_ and self.entity_group_ != x.entity_group_: return 0 if self.has_owner_ != x.has_owner_: return 0 if self.has_owner_ and self.owner_ != x.owner_: return 0 if self.has_kind_ != x.has_kind_: return 0 if self.has_kind_ and self.kind_ != x.kind_: return 0 if self.has_kind_uri_ != x.has_kind_uri_: return 0 if self.has_kind_uri_ and self.kind_uri_ != x.kind_uri_: return 0 if len(self.property_) != len(x.property_): return 0 for e1, e2 in zip(self.property_, x.property_): if e1 != e2: return 0 if len(self.raw_property_) != len(x.raw_property_): return 0 for e1, e2 in zip(self.raw_property_, x.raw_property_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_key_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: key not set.') elif not self.key_.IsInitialized(debug_strs): initialized = 0 if (not self.has_entity_group_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: entity_group not set.') elif not self.entity_group_.IsInitialized(debug_strs): initialized = 0 if (self.has_owner_ and not self.owner_.IsInitialized(debug_strs)): initialized = 0 for p in self.property_: if not p.IsInitialized(debug_strs): initialized=0 for p in self.raw_property_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(self.key_.ByteSize()) n += self.lengthString(self.entity_group_.ByteSize()) if (self.has_owner_): n += 2 + self.lengthString(self.owner_.ByteSize()) if (self.has_kind_): n += 1 + self.lengthVarInt64(self.kind_) if (self.has_kind_uri_): n += 1 + self.lengthString(len(self.kind_uri_)) n += 1 * len(self.property_) for i in xrange(len(self.property_)): n += self.lengthString(self.property_[i].ByteSize()) n += 1 * len(self.raw_property_) for i in xrange(len(self.raw_property_)): n += self.lengthString(self.raw_property_[i].ByteSize()) return n + 3 def ByteSizePartial(self): n = 0 if (self.has_key_): n += 1 n += self.lengthString(self.key_.ByteSizePartial()) if (self.has_entity_group_): n += 2 n += self.lengthString(self.entity_group_.ByteSizePartial()) if (self.has_owner_): n += 2 + self.lengthString(self.owner_.ByteSizePartial()) if (self.has_kind_): n += 1 + self.lengthVarInt64(self.kind_) if (self.has_kind_uri_): n += 1 + self.lengthString(len(self.kind_uri_)) n += 1 * len(self.property_) for i in xrange(len(self.property_)): n += self.lengthString(self.property_[i].ByteSizePartial()) n += 1 * len(self.raw_property_) for i in xrange(len(self.raw_property_)): n += self.lengthString(self.raw_property_[i].ByteSizePartial()) return n def Clear(self): self.clear_key() self.clear_entity_group() self.clear_owner() self.clear_kind() self.clear_kind_uri() self.clear_property() self.clear_raw_property() def OutputUnchecked(self, out): if (self.has_kind_): out.putVarInt32(32) out.putVarInt32(self.kind_) if (self.has_kind_uri_): out.putVarInt32(42) out.putPrefixedString(self.kind_uri_) out.putVarInt32(106) out.putVarInt32(self.key_.ByteSize()) self.key_.OutputUnchecked(out) for i in xrange(len(self.property_)): out.putVarInt32(114) out.putVarInt32(self.property_[i].ByteSize()) self.property_[i].OutputUnchecked(out) for i in xrange(len(self.raw_property_)): out.putVarInt32(122) out.putVarInt32(self.raw_property_[i].ByteSize()) self.raw_property_[i].OutputUnchecked(out) out.putVarInt32(130) out.putVarInt32(self.entity_group_.ByteSize()) self.entity_group_.OutputUnchecked(out) if (self.has_owner_): out.putVarInt32(138) out.putVarInt32(self.owner_.ByteSize()) self.owner_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_kind_): out.putVarInt32(32) out.putVarInt32(self.kind_) if (self.has_kind_uri_): out.putVarInt32(42) out.putPrefixedString(self.kind_uri_) if (self.has_key_): out.putVarInt32(106) out.putVarInt32(self.key_.ByteSizePartial()) self.key_.OutputPartial(out) for i in xrange(len(self.property_)): out.putVarInt32(114) out.putVarInt32(self.property_[i].ByteSizePartial()) self.property_[i].OutputPartial(out) for i in xrange(len(self.raw_property_)): out.putVarInt32(122) out.putVarInt32(self.raw_property_[i].ByteSizePartial()) self.raw_property_[i].OutputPartial(out) if (self.has_entity_group_): out.putVarInt32(130) out.putVarInt32(self.entity_group_.ByteSizePartial()) self.entity_group_.OutputPartial(out) if (self.has_owner_): out.putVarInt32(138) out.putVarInt32(self.owner_.ByteSizePartial()) self.owner_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 32: self.set_kind(d.getVarInt32()) continue if tt == 42: self.set_kind_uri(d.getPrefixedString()) continue if tt == 106: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_key().TryMerge(tmp) continue if tt == 114: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_property().TryMerge(tmp) continue if tt == 122: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_raw_property().TryMerge(tmp) continue if tt == 130: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_entity_group().TryMerge(tmp) continue if tt == 138: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_owner().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_key_: res+=prefix+"key <\n" res+=self.key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_entity_group_: res+=prefix+"entity_group <\n" res+=self.entity_group_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_owner_: res+=prefix+"owner <\n" res+=self.owner_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_kind_: res+=prefix+("kind: %s\n" % self.DebugFormatInt32(self.kind_)) if self.has_kind_uri_: res+=prefix+("kind_uri: %s\n" % self.DebugFormatString(self.kind_uri_)) cnt=0 for e in self.property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("property%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 cnt=0 for e in self.raw_property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("raw_property%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kkey = 13 kentity_group = 16 kowner = 17 kkind = 4 kkind_uri = 5 kproperty = 14 kraw_property = 15 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 4: "kind", 5: "kind_uri", 13: "key", 14: "property", 15: "raw_property", 16: "entity_group", 17: "owner", }, 17) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.STRING, 13: ProtocolBuffer.Encoder.STRING, 14: ProtocolBuffer.Encoder.STRING, 15: ProtocolBuffer.Encoder.STRING, 16: ProtocolBuffer.Encoder.STRING, 17: ProtocolBuffer.Encoder.STRING, }, 17, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.EntityProto' class CompositeProperty(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 def __init__(self, contents=None): self.value_ = [] if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def value_size(self): return len(self.value_) def value_list(self): return self.value_ def value(self, i): return self.value_[i] def set_value(self, i, x): self.value_[i] = x def add_value(self, x): self.value_.append(x) def clear_value(self): self.value_ = [] def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) for i in xrange(x.value_size()): self.add_value(x.value(i)) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if len(self.value_) != len(x.value_): return 0 for e1, e2 in zip(self.value_, x.value_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += 1 * len(self.value_) for i in xrange(len(self.value_)): n += self.lengthString(len(self.value_[i])) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) n += 1 * len(self.value_) for i in xrange(len(self.value_)): n += self.lengthString(len(self.value_[i])) return n def Clear(self): self.clear_index_id() self.clear_value() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) for i in xrange(len(self.value_)): out.putVarInt32(18) out.putPrefixedString(self.value_[i]) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) for i in xrange(len(self.value_)): out.putVarInt32(18) out.putPrefixedString(self.value_[i]) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: self.add_value(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) cnt=0 for e in self.value_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("value%s: %s\n" % (elm, self.DebugFormatString(e))) cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kvalue = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "value", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.CompositeProperty' class Index_Property(ProtocolBuffer.ProtocolMessage): DIRECTION_UNSPECIFIED = 0 ASCENDING = 1 DESCENDING = 2 _Direction_NAMES = { 0: "DIRECTION_UNSPECIFIED", 1: "ASCENDING", 2: "DESCENDING", } def Direction_Name(cls, x): return cls._Direction_NAMES.get(x, "") Direction_Name = classmethod(Direction_Name) MODE_UNSPECIFIED = 0 GEOSPATIAL = 3 _Mode_NAMES = { 0: "MODE_UNSPECIFIED", 3: "GEOSPATIAL", } def Mode_Name(cls, x): return cls._Mode_NAMES.get(x, "") Mode_Name = classmethod(Mode_Name) has_name_ = 0 name_ = "" has_direction_ = 0 direction_ = 0 has_mode_ = 0 mode_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def name(self): return self.name_ def set_name(self, x): self.has_name_ = 1 self.name_ = x def clear_name(self): if self.has_name_: self.has_name_ = 0 self.name_ = "" def has_name(self): return self.has_name_ def direction(self): return self.direction_ def set_direction(self, x): self.has_direction_ = 1 self.direction_ = x def clear_direction(self): if self.has_direction_: self.has_direction_ = 0 self.direction_ = 0 def has_direction(self): return self.has_direction_ def mode(self): return self.mode_ def set_mode(self, x): self.has_mode_ = 1 self.mode_ = x def clear_mode(self): if self.has_mode_: self.has_mode_ = 0 self.mode_ = 0 def has_mode(self): return self.has_mode_ def MergeFrom(self, x): assert x is not self if (x.has_name()): self.set_name(x.name()) if (x.has_direction()): self.set_direction(x.direction()) if (x.has_mode()): self.set_mode(x.mode()) def Equals(self, x): if x is self: return 1 if self.has_name_ != x.has_name_: return 0 if self.has_name_ and self.name_ != x.name_: return 0 if self.has_direction_ != x.has_direction_: return 0 if self.has_direction_ and self.direction_ != x.direction_: return 0 if self.has_mode_ != x.has_mode_: return 0 if self.has_mode_ and self.mode_ != x.mode_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: name not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.name_)) if (self.has_direction_): n += 1 + self.lengthVarInt64(self.direction_) if (self.has_mode_): n += 1 + self.lengthVarInt64(self.mode_) return n + 1 def ByteSizePartial(self): n = 0 if (self.has_name_): n += 1 n += self.lengthString(len(self.name_)) if (self.has_direction_): n += 1 + self.lengthVarInt64(self.direction_) if (self.has_mode_): n += 1 + self.lengthVarInt64(self.mode_) return n def Clear(self): self.clear_name() self.clear_direction() self.clear_mode() def OutputUnchecked(self, out): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_direction_): out.putVarInt32(32) out.putVarInt32(self.direction_) if (self.has_mode_): out.putVarInt32(48) out.putVarInt32(self.mode_) def OutputPartial(self, out): if (self.has_name_): out.putVarInt32(26) out.putPrefixedString(self.name_) if (self.has_direction_): out.putVarInt32(32) out.putVarInt32(self.direction_) if (self.has_mode_): out.putVarInt32(48) out.putVarInt32(self.mode_) def TryMerge(self, d): while 1: tt = d.getVarInt32() if tt == 20: break if tt == 26: self.set_name(d.getPrefixedString()) continue if tt == 32: self.set_direction(d.getVarInt32()) continue if tt == 48: self.set_mode(d.getVarInt32()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_name_: res+=prefix+("name: %s\n" % self.DebugFormatString(self.name_)) if self.has_direction_: res+=prefix+("direction: %s\n" % self.DebugFormatInt32(self.direction_)) if self.has_mode_: res+=prefix+("mode: %s\n" % self.DebugFormatInt32(self.mode_)) return res class Index(ProtocolBuffer.ProtocolMessage): has_entity_type_ = 0 entity_type_ = "" has_ancestor_ = 0 ancestor_ = 0 def __init__(self, contents=None): self.property_ = [] if contents is not None: self.MergeFromString(contents) def entity_type(self): return self.entity_type_ def set_entity_type(self, x): self.has_entity_type_ = 1 self.entity_type_ = x def clear_entity_type(self): if self.has_entity_type_: self.has_entity_type_ = 0 self.entity_type_ = "" def has_entity_type(self): return self.has_entity_type_ def ancestor(self): return self.ancestor_ def set_ancestor(self, x): self.has_ancestor_ = 1 self.ancestor_ = x def clear_ancestor(self): if self.has_ancestor_: self.has_ancestor_ = 0 self.ancestor_ = 0 def has_ancestor(self): return self.has_ancestor_ def property_size(self): return len(self.property_) def property_list(self): return self.property_ def property(self, i): return self.property_[i] def mutable_property(self, i): return self.property_[i] def add_property(self): x = Index_Property() self.property_.append(x) return x def clear_property(self): self.property_ = [] def MergeFrom(self, x): assert x is not self if (x.has_entity_type()): self.set_entity_type(x.entity_type()) if (x.has_ancestor()): self.set_ancestor(x.ancestor()) for i in xrange(x.property_size()): self.add_property().CopyFrom(x.property(i)) def Equals(self, x): if x is self: return 1 if self.has_entity_type_ != x.has_entity_type_: return 0 if self.has_entity_type_ and self.entity_type_ != x.entity_type_: return 0 if self.has_ancestor_ != x.has_ancestor_: return 0 if self.has_ancestor_ and self.ancestor_ != x.ancestor_: return 0 if len(self.property_) != len(x.property_): return 0 for e1, e2 in zip(self.property_, x.property_): if e1 != e2: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_entity_type_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: entity_type not set.') if (not self.has_ancestor_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: ancestor not set.') for p in self.property_: if not p.IsInitialized(debug_strs): initialized=0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.entity_type_)) n += 2 * len(self.property_) for i in xrange(len(self.property_)): n += self.property_[i].ByteSize() return n + 3 def ByteSizePartial(self): n = 0 if (self.has_entity_type_): n += 1 n += self.lengthString(len(self.entity_type_)) if (self.has_ancestor_): n += 2 n += 2 * len(self.property_) for i in xrange(len(self.property_)): n += self.property_[i].ByteSizePartial() return n def Clear(self): self.clear_entity_type() self.clear_ancestor() self.clear_property() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.entity_type_) for i in xrange(len(self.property_)): out.putVarInt32(19) self.property_[i].OutputUnchecked(out) out.putVarInt32(20) out.putVarInt32(40) out.putBoolean(self.ancestor_) def OutputPartial(self, out): if (self.has_entity_type_): out.putVarInt32(10) out.putPrefixedString(self.entity_type_) for i in xrange(len(self.property_)): out.putVarInt32(19) self.property_[i].OutputPartial(out) out.putVarInt32(20) if (self.has_ancestor_): out.putVarInt32(40) out.putBoolean(self.ancestor_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_entity_type(d.getPrefixedString()) continue if tt == 19: self.add_property().TryMerge(d) continue if tt == 40: self.set_ancestor(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_entity_type_: res+=prefix+("entity_type: %s\n" % self.DebugFormatString(self.entity_type_)) if self.has_ancestor_: res+=prefix+("ancestor: %s\n" % self.DebugFormatBool(self.ancestor_)) cnt=0 for e in self.property_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("Property%s {\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+"}\n" cnt+=1 return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kentity_type = 1 kancestor = 5 kPropertyGroup = 2 kPropertyname = 3 kPropertydirection = 4 kPropertymode = 6 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "entity_type", 2: "Property", 3: "name", 4: "direction", 5: "ancestor", 6: "mode", }, 6) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STARTGROUP, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 5: ProtocolBuffer.Encoder.NUMERIC, 6: ProtocolBuffer.Encoder.NUMERIC, }, 6, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.Index' class CompositeIndex(ProtocolBuffer.ProtocolMessage): WRITE_ONLY = 1 READ_WRITE = 2 DELETED = 3 ERROR = 4 _State_NAMES = { 1: "WRITE_ONLY", 2: "READ_WRITE", 3: "DELETED", 4: "ERROR", } def State_Name(cls, x): return cls._State_NAMES.get(x, "") State_Name = classmethod(State_Name) PENDING = 1 ACTIVE = 2 COMPLETED = 3 _WorkflowState_NAMES = { 1: "PENDING", 2: "ACTIVE", 3: "COMPLETED", } def WorkflowState_Name(cls, x): return cls._WorkflowState_NAMES.get(x, "") WorkflowState_Name = classmethod(WorkflowState_Name) has_app_id_ = 0 app_id_ = "" has_id_ = 0 id_ = 0 has_definition_ = 0 has_state_ = 0 state_ = 0 has_workflow_state_ = 0 workflow_state_ = 0 has_error_message_ = 0 error_message_ = "" has_only_use_if_required_ = 0 only_use_if_required_ = 0 has_disabled_index_ = 0 disabled_index_ = 0 has_write_division_family_ = 0 write_division_family_ = "" def __init__(self, contents=None): self.definition_ = Index() self.read_division_family_ = [] if contents is not None: self.MergeFromString(contents) def app_id(self): return self.app_id_ def set_app_id(self, x): self.has_app_id_ = 1 self.app_id_ = x def clear_app_id(self): if self.has_app_id_: self.has_app_id_ = 0 self.app_id_ = "" def has_app_id(self): return self.has_app_id_ def id(self): return self.id_ def set_id(self, x): self.has_id_ = 1 self.id_ = x def clear_id(self): if self.has_id_: self.has_id_ = 0 self.id_ = 0 def has_id(self): return self.has_id_ def definition(self): return self.definition_ def mutable_definition(self): self.has_definition_ = 1; return self.definition_ def clear_definition(self):self.has_definition_ = 0; self.definition_.Clear() def has_definition(self): return self.has_definition_ def state(self): return self.state_ def set_state(self, x): self.has_state_ = 1 self.state_ = x def clear_state(self): if self.has_state_: self.has_state_ = 0 self.state_ = 0 def has_state(self): return self.has_state_ def workflow_state(self): return self.workflow_state_ def set_workflow_state(self, x): self.has_workflow_state_ = 1 self.workflow_state_ = x def clear_workflow_state(self): if self.has_workflow_state_: self.has_workflow_state_ = 0 self.workflow_state_ = 0 def has_workflow_state(self): return self.has_workflow_state_ def error_message(self): return self.error_message_ def set_error_message(self, x): self.has_error_message_ = 1 self.error_message_ = x def clear_error_message(self): if self.has_error_message_: self.has_error_message_ = 0 self.error_message_ = "" def has_error_message(self): return self.has_error_message_ def only_use_if_required(self): return self.only_use_if_required_ def set_only_use_if_required(self, x): self.has_only_use_if_required_ = 1 self.only_use_if_required_ = x def clear_only_use_if_required(self): if self.has_only_use_if_required_: self.has_only_use_if_required_ = 0 self.only_use_if_required_ = 0 def has_only_use_if_required(self): return self.has_only_use_if_required_ def disabled_index(self): return self.disabled_index_ def set_disabled_index(self, x): self.has_disabled_index_ = 1 self.disabled_index_ = x def clear_disabled_index(self): if self.has_disabled_index_: self.has_disabled_index_ = 0 self.disabled_index_ = 0 def has_disabled_index(self): return self.has_disabled_index_ def read_division_family_size(self): return len(self.read_division_family_) def read_division_family_list(self): return self.read_division_family_ def read_division_family(self, i): return self.read_division_family_[i] def set_read_division_family(self, i, x): self.read_division_family_[i] = x def add_read_division_family(self, x): self.read_division_family_.append(x) def clear_read_division_family(self): self.read_division_family_ = [] def write_division_family(self): return self.write_division_family_ def set_write_division_family(self, x): self.has_write_division_family_ = 1 self.write_division_family_ = x def clear_write_division_family(self): if self.has_write_division_family_: self.has_write_division_family_ = 0 self.write_division_family_ = "" def has_write_division_family(self): return self.has_write_division_family_ def MergeFrom(self, x): assert x is not self if (x.has_app_id()): self.set_app_id(x.app_id()) if (x.has_id()): self.set_id(x.id()) if (x.has_definition()): self.mutable_definition().MergeFrom(x.definition()) if (x.has_state()): self.set_state(x.state()) if (x.has_workflow_state()): self.set_workflow_state(x.workflow_state()) if (x.has_error_message()): self.set_error_message(x.error_message()) if (x.has_only_use_if_required()): self.set_only_use_if_required(x.only_use_if_required()) if (x.has_disabled_index()): self.set_disabled_index(x.disabled_index()) for i in xrange(x.read_division_family_size()): self.add_read_division_family(x.read_division_family(i)) if (x.has_write_division_family()): self.set_write_division_family(x.write_division_family()) def Equals(self, x): if x is self: return 1 if self.has_app_id_ != x.has_app_id_: return 0 if self.has_app_id_ and self.app_id_ != x.app_id_: return 0 if self.has_id_ != x.has_id_: return 0 if self.has_id_ and self.id_ != x.id_: return 0 if self.has_definition_ != x.has_definition_: return 0 if self.has_definition_ and self.definition_ != x.definition_: return 0 if self.has_state_ != x.has_state_: return 0 if self.has_state_ and self.state_ != x.state_: return 0 if self.has_workflow_state_ != x.has_workflow_state_: return 0 if self.has_workflow_state_ and self.workflow_state_ != x.workflow_state_: return 0 if self.has_error_message_ != x.has_error_message_: return 0 if self.has_error_message_ and self.error_message_ != x.error_message_: return 0 if self.has_only_use_if_required_ != x.has_only_use_if_required_: return 0 if self.has_only_use_if_required_ and self.only_use_if_required_ != x.only_use_if_required_: return 0 if self.has_disabled_index_ != x.has_disabled_index_: return 0 if self.has_disabled_index_ and self.disabled_index_ != x.disabled_index_: return 0 if len(self.read_division_family_) != len(x.read_division_family_): return 0 for e1, e2 in zip(self.read_division_family_, x.read_division_family_): if e1 != e2: return 0 if self.has_write_division_family_ != x.has_write_division_family_: return 0 if self.has_write_division_family_ and self.write_division_family_ != x.write_division_family_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_app_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: app_id not set.') if (not self.has_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: id not set.') if (not self.has_definition_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: definition not set.') elif not self.definition_.IsInitialized(debug_strs): initialized = 0 if (not self.has_state_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: state not set.') return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.app_id_)) n += self.lengthVarInt64(self.id_) n += self.lengthString(self.definition_.ByteSize()) n += self.lengthVarInt64(self.state_) if (self.has_workflow_state_): n += 1 + self.lengthVarInt64(self.workflow_state_) if (self.has_error_message_): n += 1 + self.lengthString(len(self.error_message_)) if (self.has_only_use_if_required_): n += 2 if (self.has_disabled_index_): n += 2 n += 1 * len(self.read_division_family_) for i in xrange(len(self.read_division_family_)): n += self.lengthString(len(self.read_division_family_[i])) if (self.has_write_division_family_): n += 1 + self.lengthString(len(self.write_division_family_)) return n + 4 def ByteSizePartial(self): n = 0 if (self.has_app_id_): n += 1 n += self.lengthString(len(self.app_id_)) if (self.has_id_): n += 1 n += self.lengthVarInt64(self.id_) if (self.has_definition_): n += 1 n += self.lengthString(self.definition_.ByteSizePartial()) if (self.has_state_): n += 1 n += self.lengthVarInt64(self.state_) if (self.has_workflow_state_): n += 1 + self.lengthVarInt64(self.workflow_state_) if (self.has_error_message_): n += 1 + self.lengthString(len(self.error_message_)) if (self.has_only_use_if_required_): n += 2 if (self.has_disabled_index_): n += 2 n += 1 * len(self.read_division_family_) for i in xrange(len(self.read_division_family_)): n += self.lengthString(len(self.read_division_family_[i])) if (self.has_write_division_family_): n += 1 + self.lengthString(len(self.write_division_family_)) return n def Clear(self): self.clear_app_id() self.clear_id() self.clear_definition() self.clear_state() self.clear_workflow_state() self.clear_error_message() self.clear_only_use_if_required() self.clear_disabled_index() self.clear_read_division_family() self.clear_write_division_family() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.app_id_) out.putVarInt32(16) out.putVarInt64(self.id_) out.putVarInt32(26) out.putVarInt32(self.definition_.ByteSize()) self.definition_.OutputUnchecked(out) out.putVarInt32(32) out.putVarInt32(self.state_) if (self.has_only_use_if_required_): out.putVarInt32(48) out.putBoolean(self.only_use_if_required_) for i in xrange(len(self.read_division_family_)): out.putVarInt32(58) out.putPrefixedString(self.read_division_family_[i]) if (self.has_write_division_family_): out.putVarInt32(66) out.putPrefixedString(self.write_division_family_) if (self.has_disabled_index_): out.putVarInt32(72) out.putBoolean(self.disabled_index_) if (self.has_workflow_state_): out.putVarInt32(80) out.putVarInt32(self.workflow_state_) if (self.has_error_message_): out.putVarInt32(90) out.putPrefixedString(self.error_message_) def OutputPartial(self, out): if (self.has_app_id_): out.putVarInt32(10) out.putPrefixedString(self.app_id_) if (self.has_id_): out.putVarInt32(16) out.putVarInt64(self.id_) if (self.has_definition_): out.putVarInt32(26) out.putVarInt32(self.definition_.ByteSizePartial()) self.definition_.OutputPartial(out) if (self.has_state_): out.putVarInt32(32) out.putVarInt32(self.state_) if (self.has_only_use_if_required_): out.putVarInt32(48) out.putBoolean(self.only_use_if_required_) for i in xrange(len(self.read_division_family_)): out.putVarInt32(58) out.putPrefixedString(self.read_division_family_[i]) if (self.has_write_division_family_): out.putVarInt32(66) out.putPrefixedString(self.write_division_family_) if (self.has_disabled_index_): out.putVarInt32(72) out.putBoolean(self.disabled_index_) if (self.has_workflow_state_): out.putVarInt32(80) out.putVarInt32(self.workflow_state_) if (self.has_error_message_): out.putVarInt32(90) out.putPrefixedString(self.error_message_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_app_id(d.getPrefixedString()) continue if tt == 16: self.set_id(d.getVarInt64()) continue if tt == 26: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_definition().TryMerge(tmp) continue if tt == 32: self.set_state(d.getVarInt32()) continue if tt == 48: self.set_only_use_if_required(d.getBoolean()) continue if tt == 58: self.add_read_division_family(d.getPrefixedString()) continue if tt == 66: self.set_write_division_family(d.getPrefixedString()) continue if tt == 72: self.set_disabled_index(d.getBoolean()) continue if tt == 80: self.set_workflow_state(d.getVarInt32()) continue if tt == 90: self.set_error_message(d.getPrefixedString()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_app_id_: res+=prefix+("app_id: %s\n" % self.DebugFormatString(self.app_id_)) if self.has_id_: res+=prefix+("id: %s\n" % self.DebugFormatInt64(self.id_)) if self.has_definition_: res+=prefix+"definition <\n" res+=self.definition_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_state_: res+=prefix+("state: %s\n" % self.DebugFormatInt32(self.state_)) if self.has_workflow_state_: res+=prefix+("workflow_state: %s\n" % self.DebugFormatInt32(self.workflow_state_)) if self.has_error_message_: res+=prefix+("error_message: %s\n" % self.DebugFormatString(self.error_message_)) if self.has_only_use_if_required_: res+=prefix+("only_use_if_required: %s\n" % self.DebugFormatBool(self.only_use_if_required_)) if self.has_disabled_index_: res+=prefix+("disabled_index: %s\n" % self.DebugFormatBool(self.disabled_index_)) cnt=0 for e in self.read_division_family_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("read_division_family%s: %s\n" % (elm, self.DebugFormatString(e))) cnt+=1 if self.has_write_division_family_: res+=prefix+("write_division_family: %s\n" % self.DebugFormatString(self.write_division_family_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kapp_id = 1 kid = 2 kdefinition = 3 kstate = 4 kworkflow_state = 10 kerror_message = 11 konly_use_if_required = 6 kdisabled_index = 9 kread_division_family = 7 kwrite_division_family = 8 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "app_id", 2: "id", 3: "definition", 4: "state", 6: "only_use_if_required", 7: "read_division_family", 8: "write_division_family", 9: "disabled_index", 10: "workflow_state", 11: "error_message", }, 11) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.STRING, 4: ProtocolBuffer.Encoder.NUMERIC, 6: ProtocolBuffer.Encoder.NUMERIC, 7: ProtocolBuffer.Encoder.STRING, 8: ProtocolBuffer.Encoder.STRING, 9: ProtocolBuffer.Encoder.NUMERIC, 10: ProtocolBuffer.Encoder.NUMERIC, 11: ProtocolBuffer.Encoder.STRING, }, 11, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.CompositeIndex' class SearchIndexEntry(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 has_write_division_family_ = 0 write_division_family_ = "" has_fingerprint_1999_ = 0 fingerprint_1999_ = 0 has_fingerprint_2011_ = 0 fingerprint_2011_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def write_division_family(self): return self.write_division_family_ def set_write_division_family(self, x): self.has_write_division_family_ = 1 self.write_division_family_ = x def clear_write_division_family(self): if self.has_write_division_family_: self.has_write_division_family_ = 0 self.write_division_family_ = "" def has_write_division_family(self): return self.has_write_division_family_ def fingerprint_1999(self): return self.fingerprint_1999_ def set_fingerprint_1999(self, x): self.has_fingerprint_1999_ = 1 self.fingerprint_1999_ = x def clear_fingerprint_1999(self): if self.has_fingerprint_1999_: self.has_fingerprint_1999_ = 0 self.fingerprint_1999_ = 0 def has_fingerprint_1999(self): return self.has_fingerprint_1999_ def fingerprint_2011(self): return self.fingerprint_2011_ def set_fingerprint_2011(self, x): self.has_fingerprint_2011_ = 1 self.fingerprint_2011_ = x def clear_fingerprint_2011(self): if self.has_fingerprint_2011_: self.has_fingerprint_2011_ = 0 self.fingerprint_2011_ = 0 def has_fingerprint_2011(self): return self.has_fingerprint_2011_ def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) if (x.has_write_division_family()): self.set_write_division_family(x.write_division_family()) if (x.has_fingerprint_1999()): self.set_fingerprint_1999(x.fingerprint_1999()) if (x.has_fingerprint_2011()): self.set_fingerprint_2011(x.fingerprint_2011()) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if self.has_write_division_family_ != x.has_write_division_family_: return 0 if self.has_write_division_family_ and self.write_division_family_ != x.write_division_family_: return 0 if self.has_fingerprint_1999_ != x.has_fingerprint_1999_: return 0 if self.has_fingerprint_1999_ and self.fingerprint_1999_ != x.fingerprint_1999_: return 0 if self.has_fingerprint_2011_ != x.has_fingerprint_2011_: return 0 if self.has_fingerprint_2011_ and self.fingerprint_2011_ != x.fingerprint_2011_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') if (not self.has_write_division_family_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: write_division_family not set.') return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += self.lengthString(len(self.write_division_family_)) if (self.has_fingerprint_1999_): n += 9 if (self.has_fingerprint_2011_): n += 9 return n + 2 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) if (self.has_write_division_family_): n += 1 n += self.lengthString(len(self.write_division_family_)) if (self.has_fingerprint_1999_): n += 9 if (self.has_fingerprint_2011_): n += 9 return n def Clear(self): self.clear_index_id() self.clear_write_division_family() self.clear_fingerprint_1999() self.clear_fingerprint_2011() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) out.putVarInt32(18) out.putPrefixedString(self.write_division_family_) if (self.has_fingerprint_1999_): out.putVarInt32(25) out.put64(self.fingerprint_1999_) if (self.has_fingerprint_2011_): out.putVarInt32(33) out.put64(self.fingerprint_2011_) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) if (self.has_write_division_family_): out.putVarInt32(18) out.putPrefixedString(self.write_division_family_) if (self.has_fingerprint_1999_): out.putVarInt32(25) out.put64(self.fingerprint_1999_) if (self.has_fingerprint_2011_): out.putVarInt32(33) out.put64(self.fingerprint_2011_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: self.set_write_division_family(d.getPrefixedString()) continue if tt == 25: self.set_fingerprint_1999(d.get64()) continue if tt == 33: self.set_fingerprint_2011(d.get64()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) if self.has_write_division_family_: res+=prefix+("write_division_family: %s\n" % self.DebugFormatString(self.write_division_family_)) if self.has_fingerprint_1999_: res+=prefix+("fingerprint_1999: %s\n" % self.DebugFormatFixed64(self.fingerprint_1999_)) if self.has_fingerprint_2011_: res+=prefix+("fingerprint_2011: %s\n" % self.DebugFormatFixed64(self.fingerprint_2011_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kwrite_division_family = 2 kfingerprint_1999 = 3 kfingerprint_2011 = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "write_division_family", 3: "fingerprint_1999", 4: "fingerprint_2011", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.DOUBLE, 4: ProtocolBuffer.Encoder.DOUBLE, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.SearchIndexEntry' class SearchIndexExternalId(ProtocolBuffer.ProtocolMessage): has_index_id_ = 0 index_id_ = 0 has_primary_key_ = 0 def __init__(self, contents=None): self.primary_key_ = Reference() if contents is not None: self.MergeFromString(contents) def index_id(self): return self.index_id_ def set_index_id(self, x): self.has_index_id_ = 1 self.index_id_ = x def clear_index_id(self): if self.has_index_id_: self.has_index_id_ = 0 self.index_id_ = 0 def has_index_id(self): return self.has_index_id_ def primary_key(self): return self.primary_key_ def mutable_primary_key(self): self.has_primary_key_ = 1; return self.primary_key_ def clear_primary_key(self):self.has_primary_key_ = 0; self.primary_key_.Clear() def has_primary_key(self): return self.has_primary_key_ def MergeFrom(self, x): assert x is not self if (x.has_index_id()): self.set_index_id(x.index_id()) if (x.has_primary_key()): self.mutable_primary_key().MergeFrom(x.primary_key()) def Equals(self, x): if x is self: return 1 if self.has_index_id_ != x.has_index_id_: return 0 if self.has_index_id_ and self.index_id_ != x.index_id_: return 0 if self.has_primary_key_ != x.has_primary_key_: return 0 if self.has_primary_key_ and self.primary_key_ != x.primary_key_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_index_id_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: index_id not set.') if (not self.has_primary_key_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: primary_key not set.') elif not self.primary_key_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthVarInt64(self.index_id_) n += self.lengthString(self.primary_key_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_index_id_): n += 1 n += self.lengthVarInt64(self.index_id_) if (self.has_primary_key_): n += 1 n += self.lengthString(self.primary_key_.ByteSizePartial()) return n def Clear(self): self.clear_index_id() self.clear_primary_key() def OutputUnchecked(self, out): out.putVarInt32(8) out.putVarInt64(self.index_id_) out.putVarInt32(18) out.putVarInt32(self.primary_key_.ByteSize()) self.primary_key_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_index_id_): out.putVarInt32(8) out.putVarInt64(self.index_id_) if (self.has_primary_key_): out.putVarInt32(18) out.putVarInt32(self.primary_key_.ByteSizePartial()) self.primary_key_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 8: self.set_index_id(d.getVarInt64()) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_primary_key().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_index_id_: res+=prefix+("index_id: %s\n" % self.DebugFormatInt64(self.index_id_)) if self.has_primary_key_: res+=prefix+"primary_key <\n" res+=self.primary_key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_id = 1 kprimary_key = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_id", 2: "primary_key", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.NUMERIC, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.SearchIndexExternalId' class IndexPostfix_IndexValue(ProtocolBuffer.ProtocolMessage): has_property_name_ = 0 property_name_ = "" has_value_ = 0 def __init__(self, contents=None): self.value_ = PropertyValue() if contents is not None: self.MergeFromString(contents) def property_name(self): return self.property_name_ def set_property_name(self, x): self.has_property_name_ = 1 self.property_name_ = x def clear_property_name(self): if self.has_property_name_: self.has_property_name_ = 0 self.property_name_ = "" def has_property_name(self): return self.has_property_name_ def value(self): return self.value_ def mutable_value(self): self.has_value_ = 1; return self.value_ def clear_value(self):self.has_value_ = 0; self.value_.Clear() def has_value(self): return self.has_value_ def MergeFrom(self, x): assert x is not self if (x.has_property_name()): self.set_property_name(x.property_name()) if (x.has_value()): self.mutable_value().MergeFrom(x.value()) def Equals(self, x): if x is self: return 1 if self.has_property_name_ != x.has_property_name_: return 0 if self.has_property_name_ and self.property_name_ != x.property_name_: return 0 if self.has_value_ != x.has_value_: return 0 if self.has_value_ and self.value_ != x.value_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 if (not self.has_property_name_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: property_name not set.') if (not self.has_value_): initialized = 0 if debug_strs is not None: debug_strs.append('Required field: value not set.') elif not self.value_.IsInitialized(debug_strs): initialized = 0 return initialized def ByteSize(self): n = 0 n += self.lengthString(len(self.property_name_)) n += self.lengthString(self.value_.ByteSize()) return n + 2 def ByteSizePartial(self): n = 0 if (self.has_property_name_): n += 1 n += self.lengthString(len(self.property_name_)) if (self.has_value_): n += 1 n += self.lengthString(self.value_.ByteSizePartial()) return n def Clear(self): self.clear_property_name() self.clear_value() def OutputUnchecked(self, out): out.putVarInt32(10) out.putPrefixedString(self.property_name_) out.putVarInt32(18) out.putVarInt32(self.value_.ByteSize()) self.value_.OutputUnchecked(out) def OutputPartial(self, out): if (self.has_property_name_): out.putVarInt32(10) out.putPrefixedString(self.property_name_) if (self.has_value_): out.putVarInt32(18) out.putVarInt32(self.value_.ByteSizePartial()) self.value_.OutputPartial(out) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_property_name(d.getPrefixedString()) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_value().TryMerge(tmp) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_property_name_: res+=prefix+("property_name: %s\n" % self.DebugFormatString(self.property_name_)) if self.has_value_: res+=prefix+"value <\n" res+=self.value_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kproperty_name = 1 kvalue = 2 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "property_name", 2: "value", }, 2) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, }, 2, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPostfix_IndexValue' class IndexPostfix(ProtocolBuffer.ProtocolMessage): has_key_ = 0 key_ = None has_before_ = 0 before_ = 1 has_before_ascending_ = 0 before_ascending_ = 0 def __init__(self, contents=None): self.index_value_ = [] self.lazy_init_lock_ = thread.allocate_lock() if contents is not None: self.MergeFromString(contents) def index_value_size(self): return len(self.index_value_) def index_value_list(self): return self.index_value_ def index_value(self, i): return self.index_value_[i] def mutable_index_value(self, i): return self.index_value_[i] def add_index_value(self): x = IndexPostfix_IndexValue() self.index_value_.append(x) return x def clear_index_value(self): self.index_value_ = [] def key(self): if self.key_ is None: self.lazy_init_lock_.acquire() try: if self.key_ is None: self.key_ = Reference() finally: self.lazy_init_lock_.release() return self.key_ def mutable_key(self): self.has_key_ = 1; return self.key() def clear_key(self): if self.has_key_: self.has_key_ = 0; if self.key_ is not None: self.key_.Clear() def has_key(self): return self.has_key_ def before(self): return self.before_ def set_before(self, x): self.has_before_ = 1 self.before_ = x def clear_before(self): if self.has_before_: self.has_before_ = 0 self.before_ = 1 def has_before(self): return self.has_before_ def before_ascending(self): return self.before_ascending_ def set_before_ascending(self, x): self.has_before_ascending_ = 1 self.before_ascending_ = x def clear_before_ascending(self): if self.has_before_ascending_: self.has_before_ascending_ = 0 self.before_ascending_ = 0 def has_before_ascending(self): return self.has_before_ascending_ def MergeFrom(self, x): assert x is not self for i in xrange(x.index_value_size()): self.add_index_value().CopyFrom(x.index_value(i)) if (x.has_key()): self.mutable_key().MergeFrom(x.key()) if (x.has_before()): self.set_before(x.before()) if (x.has_before_ascending()): self.set_before_ascending(x.before_ascending()) def Equals(self, x): if x is self: return 1 if len(self.index_value_) != len(x.index_value_): return 0 for e1, e2 in zip(self.index_value_, x.index_value_): if e1 != e2: return 0 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_before_ != x.has_before_: return 0 if self.has_before_ and self.before_ != x.before_: return 0 if self.has_before_ascending_ != x.has_before_ascending_: return 0 if self.has_before_ascending_ and self.before_ascending_ != x.before_ascending_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 for p in self.index_value_: if not p.IsInitialized(debug_strs): initialized=0 if (self.has_key_ and not self.key_.IsInitialized(debug_strs)): initialized = 0 return initialized def ByteSize(self): n = 0 n += 1 * len(self.index_value_) for i in xrange(len(self.index_value_)): n += self.lengthString(self.index_value_[i].ByteSize()) if (self.has_key_): n += 1 + self.lengthString(self.key_.ByteSize()) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def ByteSizePartial(self): n = 0 n += 1 * len(self.index_value_) for i in xrange(len(self.index_value_)): n += self.lengthString(self.index_value_[i].ByteSizePartial()) if (self.has_key_): n += 1 + self.lengthString(self.key_.ByteSizePartial()) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def Clear(self): self.clear_index_value() self.clear_key() self.clear_before() self.clear_before_ascending() def OutputUnchecked(self, out): for i in xrange(len(self.index_value_)): out.putVarInt32(10) out.putVarInt32(self.index_value_[i].ByteSize()) self.index_value_[i].OutputUnchecked(out) if (self.has_key_): out.putVarInt32(18) out.putVarInt32(self.key_.ByteSize()) self.key_.OutputUnchecked(out) if (self.has_before_): out.putVarInt32(24) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(32) out.putBoolean(self.before_ascending_) def OutputPartial(self, out): for i in xrange(len(self.index_value_)): out.putVarInt32(10) out.putVarInt32(self.index_value_[i].ByteSizePartial()) self.index_value_[i].OutputPartial(out) if (self.has_key_): out.putVarInt32(18) out.putVarInt32(self.key_.ByteSizePartial()) self.key_.OutputPartial(out) if (self.has_before_): out.putVarInt32(24) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(32) out.putBoolean(self.before_ascending_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.add_index_value().TryMerge(tmp) continue if tt == 18: length = d.getVarInt32() tmp = ProtocolBuffer.Decoder(d.buffer(), d.pos(), d.pos() + length) d.skip(length) self.mutable_key().TryMerge(tmp) continue if tt == 24: self.set_before(d.getBoolean()) continue if tt == 32: self.set_before_ascending(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" cnt=0 for e in self.index_value_: elm="" if printElemNumber: elm="(%d)" % cnt res+=prefix+("index_value%s <\n" % elm) res+=e.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" cnt+=1 if self.has_key_: res+=prefix+"key <\n" res+=self.key_.__str__(prefix + " ", printElemNumber) res+=prefix+">\n" if self.has_before_: res+=prefix+("before: %s\n" % self.DebugFormatBool(self.before_)) if self.has_before_ascending_: res+=prefix+("before_ascending: %s\n" % self.DebugFormatBool(self.before_ascending_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kindex_value = 1 kkey = 2 kbefore = 3 kbefore_ascending = 4 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "index_value", 2: "key", 3: "before", 4: "before_ascending", }, 4) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.STRING, 3: ProtocolBuffer.Encoder.NUMERIC, 4: ProtocolBuffer.Encoder.NUMERIC, }, 4, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPostfix' class IndexPosition(ProtocolBuffer.ProtocolMessage): has_key_ = 0 key_ = "" has_before_ = 0 before_ = 1 has_before_ascending_ = 0 before_ascending_ = 0 def __init__(self, contents=None): if contents is not None: self.MergeFromString(contents) def key(self): return self.key_ def set_key(self, x): self.has_key_ = 1 self.key_ = x def clear_key(self): if self.has_key_: self.has_key_ = 0 self.key_ = "" def has_key(self): return self.has_key_ def before(self): return self.before_ def set_before(self, x): self.has_before_ = 1 self.before_ = x def clear_before(self): if self.has_before_: self.has_before_ = 0 self.before_ = 1 def has_before(self): return self.has_before_ def before_ascending(self): return self.before_ascending_ def set_before_ascending(self, x): self.has_before_ascending_ = 1 self.before_ascending_ = x def clear_before_ascending(self): if self.has_before_ascending_: self.has_before_ascending_ = 0 self.before_ascending_ = 0 def has_before_ascending(self): return self.has_before_ascending_ def MergeFrom(self, x): assert x is not self if (x.has_key()): self.set_key(x.key()) if (x.has_before()): self.set_before(x.before()) if (x.has_before_ascending()): self.set_before_ascending(x.before_ascending()) def Equals(self, x): if x is self: return 1 if self.has_key_ != x.has_key_: return 0 if self.has_key_ and self.key_ != x.key_: return 0 if self.has_before_ != x.has_before_: return 0 if self.has_before_ and self.before_ != x.before_: return 0 if self.has_before_ascending_ != x.has_before_ascending_: return 0 if self.has_before_ascending_ and self.before_ascending_ != x.before_ascending_: return 0 return 1 def IsInitialized(self, debug_strs=None): initialized = 1 return initialized def ByteSize(self): n = 0 if (self.has_key_): n += 1 + self.lengthString(len(self.key_)) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def ByteSizePartial(self): n = 0 if (self.has_key_): n += 1 + self.lengthString(len(self.key_)) if (self.has_before_): n += 2 if (self.has_before_ascending_): n += 2 return n def Clear(self): self.clear_key() self.clear_before() self.clear_before_ascending() def OutputUnchecked(self, out): if (self.has_key_): out.putVarInt32(10) out.putPrefixedString(self.key_) if (self.has_before_): out.putVarInt32(16) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(24) out.putBoolean(self.before_ascending_) def OutputPartial(self, out): if (self.has_key_): out.putVarInt32(10) out.putPrefixedString(self.key_) if (self.has_before_): out.putVarInt32(16) out.putBoolean(self.before_) if (self.has_before_ascending_): out.putVarInt32(24) out.putBoolean(self.before_ascending_) def TryMerge(self, d): while d.avail() > 0: tt = d.getVarInt32() if tt == 10: self.set_key(d.getPrefixedString()) continue if tt == 16: self.set_before(d.getBoolean()) continue if tt == 24: self.set_before_ascending(d.getBoolean()) continue if (tt == 0): raise ProtocolBuffer.ProtocolBufferDecodeError d.skipData(tt) def __str__(self, prefix="", printElemNumber=0): res="" if self.has_key_: res+=prefix+("key: %s\n" % self.DebugFormatString(self.key_)) if self.has_before_: res+=prefix+("before: %s\n" % self.DebugFormatBool(self.before_)) if self.has_before_ascending_: res+=prefix+("before_ascending: %s\n" % self.DebugFormatBool(self.before_ascending_)) return res def _BuildTagLookupTable(sparse, maxtag, default=None): return tuple([sparse.get(i, default) for i in xrange(0, 1+maxtag)]) kkey = 1 kbefore = 2 kbefore_ascending = 3 _TEXT = _BuildTagLookupTable({ 0: "ErrorCode", 1: "key", 2: "before", 3: "before_ascending", }, 3) _TYPES = _BuildTagLookupTable({ 0: ProtocolBuffer.Encoder.NUMERIC, 1: ProtocolBuffer.Encoder.STRING, 2: ProtocolBuffer.Encoder.NUMERIC, 3: ProtocolBuffer.Encoder.NUMERIC, }, 3, ProtocolBuffer.Encoder.MAX_TYPE) _STYLE = """""" _STYLE_CONTENT_TYPE = """""" _PROTO_DESCRIPTOR_NAME = 'storage_onestore_v3.IndexPosition' if _extension_runtime: pass __all__ = ['PropertyValue','PropertyValue_ReferenceValuePathElement','PropertyValue_PointValue','PropertyValue_UserValue','PropertyValue_ReferenceValue','Property','Path','Path_Element','Reference','User','EntityProto','CompositeProperty','Index','Index_Property','CompositeIndex','SearchIndexEntry','SearchIndexExternalId','IndexPostfix_IndexValue','IndexPostfix','IndexPosition']

true

f73d1e2ab377c5666108bb9937d32b45afad104a

1,519

py

Python

uppsell/util/serialize.py

upptalk/uppsell

843dfe81dbbd7d0cc920e6c8256d27e27c3106fe

[ "MIT" ]

2

2020-01-10T18:21:32.000Z

2021-01-31T13:53:28.000Z

uppsell/util/serialize.py

gaybro8777/uppsell

843dfe81dbbd7d0cc920e6c8256d27e27c3106fe

[ "MIT" ]

4

2015-12-03T22:59:05.000Z

2021-06-10T19:12:59.000Z

uppsell/util/serialize.py

gaybro8777/uppsell

843dfe81dbbd7d0cc920e6c8256d27e27c3106fe

[ "MIT" ]

1

2021-02-08T08:21:22.000Z

import json, uuid from datetime import datetime, date from decimal import Decimal from werkzeug.http import http_date from django.db.models import Model from django.db.models.base import ModelBase from django.db.models.query import QuerySet, ValuesQuerySet from django.db.models.fields.related import ManyToManyField from uppsell.models import Urn def model_to_dict(instance): """Like django.forms.models.model_to_dict, but returns everything including non-editable fields""" opts, data = instance._meta, {} for f in opts.concrete_fields + opts.many_to_many: if isinstance(f, ManyToManyField): if instance.pk is None: data[f.name] = [] else: data[f.name] = list(f.value_from_object(instance).values_list('pk', flat=True)) else: data[f.name] = f.value_from_object(instance) return data class UppsellJSONEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, (Model, ModelBase)): return model_to_dict(obj) if isinstance(obj, (QuerySet, ValuesQuerySet)): return [model_to_dict(m) for m in obj] elif isinstance(obj, datetime): return obj.isoformat("T") elif isinstance(obj, date): return obj.isoformat() elif isinstance(obj, Decimal): return float(obj) elif isinstance(obj, Urn) or isinstance(obj, uuid.UUID): return str(obj) return json.JSONEncoder.default(self, obj)

37.04878

95

0.665569

import json, uuid from datetime import datetime, date from decimal import Decimal from werkzeug.http import http_date from django.db.models import Model from django.db.models.base import ModelBase from django.db.models.query import QuerySet, ValuesQuerySet from django.db.models.fields.related import ManyToManyField from uppsell.models import Urn def model_to_dict(instance): opts, data = instance._meta, {} for f in opts.concrete_fields + opts.many_to_many: if isinstance(f, ManyToManyField): if instance.pk is None: data[f.name] = [] else: data[f.name] = list(f.value_from_object(instance).values_list('pk', flat=True)) else: data[f.name] = f.value_from_object(instance) return data class UppsellJSONEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, (Model, ModelBase)): return model_to_dict(obj) if isinstance(obj, (QuerySet, ValuesQuerySet)): return [model_to_dict(m) for m in obj] elif isinstance(obj, datetime): return obj.isoformat("T") elif isinstance(obj, date): return obj.isoformat() elif isinstance(obj, Decimal): return float(obj) elif isinstance(obj, Urn) or isinstance(obj, uuid.UUID): return str(obj) return json.JSONEncoder.default(self, obj)

true

f73d1e44eab9cf821b354de9774a9018ed75b8a1

742

py

Python

tests/test_authorize.py

dutkiewicz/adform-api

5b670ea971c261565d1fe4cf7c18b2e109f8449d

[ "MIT" ]

null

tests/test_authorize.py

dutkiewicz/adform-api

5b670ea971c261565d1fe4cf7c18b2e109f8449d

[ "MIT" ]

6

2019-11-29T04:53:15.000Z

2020-06-29T04:41:24.000Z

tests/test_authorize.py

dutkiewicz/adform-api

5b670ea971c261565d1fe4cf7c18b2e109f8449d

[ "MIT" ]

null

import configparser import unittest import adform class AuthorizeTestCase(unittest.TestCase): def setUp(self): config = configparser.ConfigParser() config.read('config.ini') self.client_id = config['DEFAULT']['CLIENT_ID'] self.client_secret = config['DEFAULT']['CLIENT_SECRET'] def test_token_repr_is_str(self): token = adform.auth.Authorize(self.client_id, self.client_secret) self.assertIsInstance(repr(token), str) def test_raise_auth_exception(self): with self.assertRaises(adform.exceptions.AuthorizeError): self.client_id += 'XXX' adform.auth.Authorize(self.client_id, self.client_secret) if __name__ == '__main__': unittest.main()

27.481481

73

0.691375

import configparser import unittest import adform class AuthorizeTestCase(unittest.TestCase): def setUp(self): config = configparser.ConfigParser() config.read('config.ini') self.client_id = config['DEFAULT']['CLIENT_ID'] self.client_secret = config['DEFAULT']['CLIENT_SECRET'] def test_token_repr_is_str(self): token = adform.auth.Authorize(self.client_id, self.client_secret) self.assertIsInstance(repr(token), str) def test_raise_auth_exception(self): with self.assertRaises(adform.exceptions.AuthorizeError): self.client_id += 'XXX' adform.auth.Authorize(self.client_id, self.client_secret) if __name__ == '__main__': unittest.main()

true

f73d1e7b6ef3cb6a6ce2651fdcee3b1d5ed53155

83

py

Python

Jour 3/myNumpy.py

bellash13/SmartAcademyPython

44d0f6db0fcdcbbf1449a45b073a2b3182a19714

[ "MIT" ]

null

Jour 3/myNumpy.py

bellash13/SmartAcademyPython

44d0f6db0fcdcbbf1449a45b073a2b3182a19714

[ "MIT" ]

null

Jour 3/myNumpy.py

bellash13/SmartAcademyPython

44d0f6db0fcdcbbf1449a45b073a2b3182a19714

[ "MIT" ]

null

import numpy as np a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) print(len(a))

27.666667

50

0.566265

import numpy as np a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) print(len(a))

true

f73d1ed062d1e63988ff94ecca50aa7e8e2f2a26

3,562

py

Python

src/convmag/main.py

tgwoodcock/convmag

d1aec42b2735c66601652a679dac732ac944a888

[ "MIT" ]

null

src/convmag/main.py

tgwoodcock/convmag

d1aec42b2735c66601652a679dac732ac944a888

[ "MIT" ]

null

src/convmag/main.py

tgwoodcock/convmag

d1aec42b2735c66601652a679dac732ac944a888

[ "MIT" ]

null

""" This module contains the code for the interactive conversion of units at the command line. @author: tgwoodcock """ from . import convmag_functions as cm # interactive conversion def main(): CONVERTING = True print("*****Conversion between magnetic units.*****") print("\nAt the 'Input:' promt, enter:") print("[value startunit endunit] e.g. 6 T A/m,") print("[units] to list the available units,") print("[conv] to list the conversion factors or") print("[q] to quit.") while CONVERTING: r = input("\nInput: ") if r == "q": CONVERTING = False elif r == "units": print("\nThe base units available for conversion are:") print("\n".join(cm.units)+"\nmuB/fu") print("\nThe prefactors available for any base unit are:", ", ".join(cm.prefactors)) elif r == "conv": lgst = max(map(len, cm.units)) print("\nThe conversions between base units available are:") for k in list(cm.convmag.keys()): St, En = k.split("_") print(f"{St:>{lgst}} <-> {En:<{lgst}}: {cm.convmag[k]}") print(f"{'muB/fu':>{lgst}} <-> {'T':<{lgst}}: requires user input") print("\nINFO: the factors given above are for the forward conversion") print("INFO: permeability of free space, MU_0 = 4 * 3.14159 * 1e-7 H/m (== Vs/Am)") print("INFO: Bohr magneton, MU_B = 9.274015e-24 Am^2") print(" (muB is the unit string for conversions with Bohr magnetons)") print("INFO: prefactors available for any base unit:", ", ".join(cm.prefactors)) else: val = float(r.split(" ")[0]) startunit = r.split(" ")[1] endunit = r.split(" ")[2] if "muB/fu" in [startunit, endunit] and "T" in [startunit, endunit]: print("\n***INFO: muB per formula unit <-> T***\n") print("Please enter lattice parameters: a b c in Angstrom") lp = input("a b c: ") a = float(lp.split(" ")[0]) b = float(lp.split(" ")[1]) c = float(lp.split(" ")[2]) print("\nLimited to orthogonal or hexagonal unit cells:") gamma = input("Please enter gamma in deg. (90 or 120): ") if gamma == "120": vol = cm.calculate_unitcell_volume(a, b, c, gamma=120) elif gamma == "90": vol = cm.calculate_unitcell_volume(a, b, c) vol = vol * (1E-10)**3 # to get m^3 from A^3 print("Please enter the number of formula units per unit cell:") num_fu = int(input("f.u./unit cell: ")) if startunit == "muB/fu": Tesla = cm.muB_per_fu_to_Tesla(val, num_fu, vol) s1 = f"\n{val} muB per f.u. = {Tesla:.5f} T" s2 = f" ({num_fu:d} f.u./unit cell, " s3 = f"cell volume = {vol:.3e} m^3)" print("".join([s1, s2, s3])) elif startunit == "T": muB_fu = cm.Tesla_to_muB_per_fu(val, num_fu, vol) s1 = f"\n{val} T = {muB_fu:.5f} muB per f.u." s2 = f" ({num_fu:d} f.u./unit cell, " s3 = f"cell volume = {vol:.3e} m^3)" print("".join([s1, s2, s3])) else: cm.convert_unit(val, startunit, endunit, verbose=True)

45.088608

95

0.49607

from . import convmag_functions as cm def main(): CONVERTING = True print("*****Conversion between magnetic units.*****") print("\nAt the 'Input:' promt, enter:") print("[value startunit endunit] e.g. 6 T A/m,") print("[units] to list the available units,") print("[conv] to list the conversion factors or") print("[q] to quit.") while CONVERTING: r = input("\nInput: ") if r == "q": CONVERTING = False elif r == "units": print("\nThe base units available for conversion are:") print("\n".join(cm.units)+"\nmuB/fu") print("\nThe prefactors available for any base unit are:", ", ".join(cm.prefactors)) elif r == "conv": lgst = max(map(len, cm.units)) print("\nThe conversions between base units available are:") for k in list(cm.convmag.keys()): St, En = k.split("_") print(f"{St:>{lgst}} <-> {En:<{lgst}}: {cm.convmag[k]}") print(f"{'muB/fu':>{lgst}} <-> {'T':<{lgst}}: requires user input") print("\nINFO: the factors given above are for the forward conversion") print("INFO: permeability of free space, MU_0 = 4 * 3.14159 * 1e-7 H/m (== Vs/Am)") print("INFO: Bohr magneton, MU_B = 9.274015e-24 Am^2") print(" (muB is the unit string for conversions with Bohr magnetons)") print("INFO: prefactors available for any base unit:", ", ".join(cm.prefactors)) else: val = float(r.split(" ")[0]) startunit = r.split(" ")[1] endunit = r.split(" ")[2] if "muB/fu" in [startunit, endunit] and "T" in [startunit, endunit]: print("\n***INFO: muB per formula unit <-> T***\n") print("Please enter lattice parameters: a b c in Angstrom") lp = input("a b c: ") a = float(lp.split(" ")[0]) b = float(lp.split(" ")[1]) c = float(lp.split(" ")[2]) print("\nLimited to orthogonal or hexagonal unit cells:") gamma = input("Please enter gamma in deg. (90 or 120): ") if gamma == "120": vol = cm.calculate_unitcell_volume(a, b, c, gamma=120) elif gamma == "90": vol = cm.calculate_unitcell_volume(a, b, c) vol = vol * (1E-10)**3 print("Please enter the number of formula units per unit cell:") num_fu = int(input("f.u./unit cell: ")) if startunit == "muB/fu": Tesla = cm.muB_per_fu_to_Tesla(val, num_fu, vol) s1 = f"\n{val} muB per f.u. = {Tesla:.5f} T" s2 = f" ({num_fu:d} f.u./unit cell, " s3 = f"cell volume = {vol:.3e} m^3)" print("".join([s1, s2, s3])) elif startunit == "T": muB_fu = cm.Tesla_to_muB_per_fu(val, num_fu, vol) s1 = f"\n{val} T = {muB_fu:.5f} muB per f.u." s2 = f" ({num_fu:d} f.u./unit cell, " s3 = f"cell volume = {vol:.3e} m^3)" print("".join([s1, s2, s3])) else: cm.convert_unit(val, startunit, endunit, verbose=True)

true

f73d1eebbf537262d9995df1b48005f623211cd7

3,703

py

Python

tools/filelife.py

figozhang/bcc

0abd93e5f908a930f87007937f4028aecc13975b

[ "ECL-2.0", "Apache-2.0" ]

1

2017-01-07T12:10:31.000Z

tools/filelife.py

Agares/bcc

0abd93e5f908a930f87007937f4028aecc13975b

[ "ECL-2.0", "Apache-2.0" ]

null

tools/filelife.py

Agares/bcc

0abd93e5f908a930f87007937f4028aecc13975b

[ "ECL-2.0", "Apache-2.0" ]

3

2018-10-30T07:57:13.000Z

2021-06-15T02:29:44.000Z

#!/usr/bin/python # @lint-avoid-python-3-compatibility-imports # # filelife Trace the lifespan of short-lived files. # For Linux, uses BCC, eBPF. Embedded C. # # This traces the creation and deletion of files, providing information # on who deleted the file, the file age, and the file name. The intent is to # provide information on short-lived files, for debugging or performance # analysis. # # USAGE: filelife [-h] [-p PID] # # Copyright 2016 Netflix, Inc. # Licensed under the Apache License, Version 2.0 (the "License") # # 08-Feb-2015 Brendan Gregg Created this. # 17-Feb-2016 Allan McAleavy updated for BPF_PERF_OUTPUT from __future__ import print_function from bcc import BPF import argparse from time import strftime import ctypes as ct # arguments examples = """examples: ./filelife # trace all stat() syscalls ./filelife -p 181 # only trace PID 181 """ parser = argparse.ArgumentParser( description="Trace stat() syscalls", formatter_class=argparse.RawDescriptionHelpFormatter, epilog=examples) parser.add_argument("-p", "--pid", help="trace this PID only") args = parser.parse_args() debug = 0 # define BPF program bpf_text = """ #include <uapi/linux/ptrace.h> #include <linux/fs.h> #include <linux/sched.h> struct data_t { u32 pid; u64 delta; char comm[TASK_COMM_LEN]; char fname[DNAME_INLINE_LEN]; }; BPF_HASH(birth, struct dentry *); BPF_PERF_OUTPUT(events); // trace file creation time int trace_create(struct pt_regs *ctx, struct inode *dir, struct dentry *dentry) { u32 pid = bpf_get_current_pid_tgid(); FILTER u64 ts = bpf_ktime_get_ns(); birth.update(&dentry, &ts); return 0; }; // trace file deletion and output details int trace_unlink(struct pt_regs *ctx, struct inode *dir, struct dentry *dentry) { struct data_t data = {}; u32 pid = bpf_get_current_pid_tgid(); FILTER u64 *tsp, delta; tsp = birth.lookup(&dentry); if (tsp == 0) { return 0; // missed create } delta = (bpf_ktime_get_ns() - *tsp) / 1000000; birth.delete(&dentry); if (dentry->d_name.len == 0) return 0; if (bpf_get_current_comm(&data.comm, sizeof(data.comm)) == 0) { data.pid = pid; data.delta = delta; bpf_probe_read(&data.fname, sizeof(data.fname), (void *)dentry->d_name.name); } events.perf_submit(ctx, &data, sizeof(data)); return 0; } """ TASK_COMM_LEN = 16 # linux/sched.h DNAME_INLINE_LEN = 255 # linux/dcache.h class Data(ct.Structure): _fields_ = [ ("pid", ct.c_ulonglong), ("delta", ct.c_ulonglong), ("comm", ct.c_char * TASK_COMM_LEN), ("fname", ct.c_char * DNAME_INLINE_LEN) ] if args.pid: bpf_text = bpf_text.replace('FILTER', 'if (pid != %s) { return 0; }' % args.pid) else: bpf_text = bpf_text.replace('FILTER', '') if debug: print(bpf_text) # initialize BPF b = BPF(text=bpf_text) b.attach_kprobe(event="vfs_create", fn_name="trace_create") # newer kernels (say, 4.8) may don't fire vfs_create, so record (or overwrite) # the timestamp in security_inode_create(): b.attach_kprobe(event="security_inode_create", fn_name="trace_create") b.attach_kprobe(event="vfs_unlink", fn_name="trace_unlink") # header print("%-8s %-6s %-16s %-7s %s" % ("TIME", "PID", "COMM", "AGE(s)", "FILE")) # process event def print_event(cpu, data, size): event = ct.cast(data, ct.POINTER(Data)).contents print("%-8s %-6d %-16s %-7.2f %s" % (strftime("%H:%M:%S"), event.pid, event.comm, float(event.delta) / 1000, event.fname)) b["events"].open_perf_buffer(print_event) while 1: b.kprobe_poll()

26.45

79

0.660546

from __future__ import print_function from bcc import BPF import argparse from time import strftime import ctypes as ct examples = """examples: ./filelife # trace all stat() syscalls ./filelife -p 181 # only trace PID 181 """ parser = argparse.ArgumentParser( description="Trace stat() syscalls", formatter_class=argparse.RawDescriptionHelpFormatter, epilog=examples) parser.add_argument("-p", "--pid", help="trace this PID only") args = parser.parse_args() debug = 0 bpf_text = """ #include <uapi/linux/ptrace.h> #include <linux/fs.h> #include <linux/sched.h> struct data_t { u32 pid; u64 delta; char comm[TASK_COMM_LEN]; char fname[DNAME_INLINE_LEN]; }; BPF_HASH(birth, struct dentry *); BPF_PERF_OUTPUT(events); // trace file creation time int trace_create(struct pt_regs *ctx, struct inode *dir, struct dentry *dentry) { u32 pid = bpf_get_current_pid_tgid(); FILTER u64 ts = bpf_ktime_get_ns(); birth.update(&dentry, &ts); return 0; }; // trace file deletion and output details int trace_unlink(struct pt_regs *ctx, struct inode *dir, struct dentry *dentry) { struct data_t data = {}; u32 pid = bpf_get_current_pid_tgid(); FILTER u64 *tsp, delta; tsp = birth.lookup(&dentry); if (tsp == 0) { return 0; // missed create } delta = (bpf_ktime_get_ns() - *tsp) / 1000000; birth.delete(&dentry); if (dentry->d_name.len == 0) return 0; if (bpf_get_current_comm(&data.comm, sizeof(data.comm)) == 0) { data.pid = pid; data.delta = delta; bpf_probe_read(&data.fname, sizeof(data.fname), (void *)dentry->d_name.name); } events.perf_submit(ctx, &data, sizeof(data)); return 0; } """ TASK_COMM_LEN = 16 DNAME_INLINE_LEN = 255 class Data(ct.Structure): _fields_ = [ ("pid", ct.c_ulonglong), ("delta", ct.c_ulonglong), ("comm", ct.c_char * TASK_COMM_LEN), ("fname", ct.c_char * DNAME_INLINE_LEN) ] if args.pid: bpf_text = bpf_text.replace('FILTER', 'if (pid != %s) { return 0; }' % args.pid) else: bpf_text = bpf_text.replace('FILTER', '') if debug: print(bpf_text) b = BPF(text=bpf_text) b.attach_kprobe(event="vfs_create", fn_name="trace_create") # the timestamp in security_inode_create(): b.attach_kprobe(event="security_inode_create", fn_name="trace_create") b.attach_kprobe(event="vfs_unlink", fn_name="trace_unlink") # header print("%-8s %-6s %-16s %-7s %s" % ("TIME", "PID", "COMM", "AGE(s)", "FILE")) # process event def print_event(cpu, data, size): event = ct.cast(data, ct.POINTER(Data)).contents print("%-8s %-6d %-16s %-7.2f %s" % (strftime("%H:%M:%S"), event.pid, event.comm, float(event.delta) / 1000, event.fname)) b["events"].open_perf_buffer(print_event) while 1: b.kprobe_poll()

true

f73d1f9c8efe120b86007ce12c1b4e79557e3ee1

631

py

Python

wildlifecompliance/migrations/0368_auto_20200107_1627.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

1

2020-12-07T17:12:40.000Z

wildlifecompliance/migrations/0368_auto_20200107_1627.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

14

2020-01-08T08:08:26.000Z

2021-03-19T22:59:46.000Z

wildlifecompliance/migrations/0368_auto_20200107_1627.py

preranaandure/wildlifecompliance

bc19575f7bccf7e19adadbbaf5d3eda1d1aee4b5

[ "Apache-2.0" ]

15

2020-01-08T08:02:28.000Z

2021-11-03T06:48:32.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.8 on 2020-01-07 08:27 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('wildlifecompliance', '0367_globalsettings'), ] operations = [ migrations.AlterField( model_name='globalsettings', name='key', field=models.CharField(choices=[('document_object_disposal_period', 'Document Object Disposal Period'), ('physical_object_disposal_period', 'Physical Object Disposal Period')], max_length=255, unique=True), ), ]

30.047619

218

0.675119

from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('wildlifecompliance', '0367_globalsettings'), ] operations = [ migrations.AlterField( model_name='globalsettings', name='key', field=models.CharField(choices=[('document_object_disposal_period', 'Document Object Disposal Period'), ('physical_object_disposal_period', 'Physical Object Disposal Period')], max_length=255, unique=True), ), ]

true

f73d1fd0b75425e47bd6ece71b944ad623e88d7a

9,869

py

Python

samples/VendorReadWriteProperty.py

cbergmiller/bacpypes

7b1f2e989787c2c1f807680fee5ee7a71b3689ab

[ "MIT" ]

1

2018-01-11T13:10:15.000Z

samples/VendorReadWriteProperty.py

cbergmiller/bacpypes

7b1f2e989787c2c1f807680fee5ee7a71b3689ab

[ "MIT" ]

null

samples/VendorReadWriteProperty.py

cbergmiller/bacpypes

7b1f2e989787c2c1f807680fee5ee7a71b3689ab

[ "MIT" ]

null

#!/usr/bin/env python """ This application presents a 'console' prompt to the user asking for commands. For 'read' commands it will create ReadPropertyRequest PDUs, then lines up the coorresponding ReadPropertyACK and prints the value. For 'write' commands it will create WritePropertyRequst PDUs and prints out a simple acknowledgement. """ import sys from bacpypes.debugging import bacpypes_debugging, ModuleLogger from bacpypes.consolelogging import ConfigArgumentParser from bacpypes.consolecmd import ConsoleCmd from bacpypes.core import run, enable_sleeping from bacpypes.iocb import IOCB from bacpypes.pdu import Address from bacpypes.object import get_object_class, get_datatype from bacpypes.apdu import Error, AbortPDU, SimpleAckPDU, \ ReadPropertyRequest, ReadPropertyACK, WritePropertyRequest from bacpypes.primitivedata import Tag, Null, Atomic, Integer, Unsigned, Real from bacpypes.constructeddata import Array, Any from bacpypes.app import BIPSimpleApplication from bacpypes.local.device import LocalDeviceObject import VendorAVObject # some debugging _debug = 0 _log = ModuleLogger(globals()) # globals this_application = None # # ReadWritePropertyConsoleCmd # @bacpypes_debugging class ReadWritePropertyConsoleCmd(ConsoleCmd): def do_read(self, args): """read <addr> <type> <inst> <prop> [ <indx> ]""" args = args.split() if _debug: ReadWritePropertyConsoleCmd._debug("do_read %r", args) try: addr, obj_type, obj_inst, prop_id = args[:4] if obj_type.isdigit(): obj_type = int(obj_type) elif not get_object_class(obj_type, VendorAVObject.vendor_id): raise ValueError("unknown object type") if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_type: %r", obj_type) obj_inst = int(obj_inst) if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_inst: %r", obj_inst) if prop_id.isdigit(): prop_id = int(prop_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - prop_id: %r", prop_id) datatype = get_datatype(obj_type, prop_id, VendorAVObject.vendor_id) if not datatype: raise ValueError("invalid property for object type") # build a request request = ReadPropertyRequest( objectIdentifier=(obj_type, obj_inst), propertyIdentifier=prop_id, ) request.pduDestination = Address(addr) if len(args) == 5: request.propertyArrayIndex = int(args[4]) if _debug: ReadWritePropertyConsoleCmd._debug(" - request: %r", request) # make an IOCB iocb = IOCB(request) if _debug: ReadWritePropertyConsoleCmd._debug(" - iocb: %r", iocb) # give it to the application this_application.request_io(iocb) # wait for it to complete iocb.wait() # do something for success if iocb.ioResponse: apdu = iocb.ioResponse # peek at the value tag value_tag = apdu.propertyValue.tagList.Peek() if _debug: ReadWritePropertyConsoleCmd._debug(" - value_tag: %r", value_tag) # make sure that it is application tagged if value_tag.tagClass != Tag.applicationTagClass: sys.stdout.write("value is not application encoded\n") else: # find the datatype datatype = Tag._app_tag_class[value_tag.tagNumber] if _debug: ReadWritePropertyConsoleCmd._debug(" - datatype: %r", datatype) if not datatype: raise TypeError("unknown datatype") # cast out the value value = apdu.propertyValue.cast_out(datatype) if _debug: ReadWritePropertyConsoleCmd._debug(" - value: %r", value) sys.stdout.write("%s (%s)\n" % (value, datatype)) sys.stdout.flush() # do something for error/reject/abort if iocb.ioError: sys.stdout.write(str(iocb.ioError) + '\n') except Exception as error: ReadWritePropertyConsoleCmd._exception("exception: %r", error) def do_write(self, args): """write <addr> <type> <inst> <prop> <value> [ <indx> ] [ <priority> ]""" args = args.split() ReadWritePropertyConsoleCmd._debug("do_write %r", args) try: addr, obj_type, obj_inst, prop_id = args[:4] if obj_type.isdigit(): obj_type = int(obj_type) elif not get_object_class(obj_type, VendorAVObject.vendor_id): raise ValueError("unknown object type") if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_type: %r", obj_type) obj_inst = int(obj_inst) if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_inst: %r", obj_inst) if prop_id.isdigit(): prop_id = int(prop_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - prop_id: %r", prop_id) value = args[4] indx = None if len(args) >= 6: if args[5] != "-": indx = int(args[5]) if _debug: ReadWritePropertyConsoleCmd._debug(" - indx: %r", indx) priority = None if len(args) >= 7: priority = int(args[6]) if _debug: ReadWritePropertyConsoleCmd._debug(" - priority: %r", priority) # get the datatype datatype = get_datatype(obj_type, prop_id, VendorAVObject.vendor_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - datatype: %r", datatype) # change atomic values into something encodeable, null is a special case if (value == 'null'): value = Null() elif issubclass(datatype, Atomic): if datatype is Integer: value = int(value) elif datatype is Real: value = float(value) elif datatype is Unsigned: value = int(value) value = datatype(value) elif issubclass(datatype, Array) and (indx is not None): if indx == 0: value = Integer(value) elif issubclass(datatype.subtype, Atomic): value = datatype.subtype(value) elif not isinstance(value, datatype.subtype): raise TypeError("invalid result datatype, expecting %s" % (datatype.subtype.__name__,)) elif not isinstance(value, datatype): raise TypeError("invalid result datatype, expecting %s" % (datatype.__name__,)) if _debug: ReadWritePropertyConsoleCmd._debug(" - encodeable value: %r %s", value, type(value)) # build a request request = WritePropertyRequest( objectIdentifier=(obj_type, obj_inst), propertyIdentifier=prop_id ) request.pduDestination = Address(addr) # save the value request.propertyValue = Any() try: request.propertyValue.cast_in(value) except Exception as error: ReadWritePropertyConsoleCmd._exception("WriteProperty cast error: %r", error) # optional array index if indx is not None: request.propertyArrayIndex = indx # optional priority if priority is not None: request.priority = priority if _debug: ReadWritePropertyConsoleCmd._debug(" - request: %r", request) # make an IOCB iocb = IOCB(request) if _debug: ReadWritePropertyConsoleCmd._debug(" - iocb: %r", iocb) # give it to the application this_application.request_io(iocb) # wait for it to complete iocb.wait() # do something for success if iocb.ioResponse: sys.stdout.write("ack\n") # do something for error/reject/abort if iocb.ioError: sys.stdout.write(str(iocb.ioError) + '\n') except Exception as error: ReadWritePropertyConsoleCmd._exception("exception: %r", error) # # main # def main(): global this_application # parse the command line arguments args = ConfigArgumentParser(description=__doc__).parse_args() if _debug: _log.debug("initialization") if _debug: _log.debug(" - args: %r", args) # make a device object this_device = LocalDeviceObject( objectName=args.ini.objectname, objectIdentifier=int(args.ini.objectidentifier), maxApduLengthAccepted=int(args.ini.maxapdulengthaccepted), segmentationSupported=args.ini.segmentationsupported, vendorIdentifier=int(args.ini.vendoridentifier), ) # make a simple application this_application = BIPSimpleApplication(this_device, args.ini.address) # get the services supported services_supported = this_application.get_services_supported() if _debug: _log.debug(" - services_supported: %r", services_supported) # let the device object know this_device.protocolServicesSupported = services_supported.value # make a console this_console = ReadWritePropertyConsoleCmd() if _debug: _log.debug(" - this_console: %r", this_console) # enable sleeping will help with threads enable_sleeping() _log.debug("running") run() _log.debug("fini") if __name__ == '__main__': main()

35.37276

110

0.602594

import sys from bacpypes.debugging import bacpypes_debugging, ModuleLogger from bacpypes.consolelogging import ConfigArgumentParser from bacpypes.consolecmd import ConsoleCmd from bacpypes.core import run, enable_sleeping from bacpypes.iocb import IOCB from bacpypes.pdu import Address from bacpypes.object import get_object_class, get_datatype from bacpypes.apdu import Error, AbortPDU, SimpleAckPDU, \ ReadPropertyRequest, ReadPropertyACK, WritePropertyRequest from bacpypes.primitivedata import Tag, Null, Atomic, Integer, Unsigned, Real from bacpypes.constructeddata import Array, Any from bacpypes.app import BIPSimpleApplication from bacpypes.local.device import LocalDeviceObject import VendorAVObject _debug = 0 _log = ModuleLogger(globals()) this_application = None @bacpypes_debugging class ReadWritePropertyConsoleCmd(ConsoleCmd): def do_read(self, args): args = args.split() if _debug: ReadWritePropertyConsoleCmd._debug("do_read %r", args) try: addr, obj_type, obj_inst, prop_id = args[:4] if obj_type.isdigit(): obj_type = int(obj_type) elif not get_object_class(obj_type, VendorAVObject.vendor_id): raise ValueError("unknown object type") if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_type: %r", obj_type) obj_inst = int(obj_inst) if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_inst: %r", obj_inst) if prop_id.isdigit(): prop_id = int(prop_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - prop_id: %r", prop_id) datatype = get_datatype(obj_type, prop_id, VendorAVObject.vendor_id) if not datatype: raise ValueError("invalid property for object type") request = ReadPropertyRequest( objectIdentifier=(obj_type, obj_inst), propertyIdentifier=prop_id, ) request.pduDestination = Address(addr) if len(args) == 5: request.propertyArrayIndex = int(args[4]) if _debug: ReadWritePropertyConsoleCmd._debug(" - request: %r", request) iocb = IOCB(request) if _debug: ReadWritePropertyConsoleCmd._debug(" - iocb: %r", iocb) this_application.request_io(iocb) iocb.wait() if iocb.ioResponse: apdu = iocb.ioResponse value_tag = apdu.propertyValue.tagList.Peek() if _debug: ReadWritePropertyConsoleCmd._debug(" - value_tag: %r", value_tag) if value_tag.tagClass != Tag.applicationTagClass: sys.stdout.write("value is not application encoded\n") else: datatype = Tag._app_tag_class[value_tag.tagNumber] if _debug: ReadWritePropertyConsoleCmd._debug(" - datatype: %r", datatype) if not datatype: raise TypeError("unknown datatype") value = apdu.propertyValue.cast_out(datatype) if _debug: ReadWritePropertyConsoleCmd._debug(" - value: %r", value) sys.stdout.write("%s (%s)\n" % (value, datatype)) sys.stdout.flush() if iocb.ioError: sys.stdout.write(str(iocb.ioError) + '\n') except Exception as error: ReadWritePropertyConsoleCmd._exception("exception: %r", error) def do_write(self, args): args = args.split() ReadWritePropertyConsoleCmd._debug("do_write %r", args) try: addr, obj_type, obj_inst, prop_id = args[:4] if obj_type.isdigit(): obj_type = int(obj_type) elif not get_object_class(obj_type, VendorAVObject.vendor_id): raise ValueError("unknown object type") if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_type: %r", obj_type) obj_inst = int(obj_inst) if _debug: ReadWritePropertyConsoleCmd._debug(" - obj_inst: %r", obj_inst) if prop_id.isdigit(): prop_id = int(prop_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - prop_id: %r", prop_id) value = args[4] indx = None if len(args) >= 6: if args[5] != "-": indx = int(args[5]) if _debug: ReadWritePropertyConsoleCmd._debug(" - indx: %r", indx) priority = None if len(args) >= 7: priority = int(args[6]) if _debug: ReadWritePropertyConsoleCmd._debug(" - priority: %r", priority) datatype = get_datatype(obj_type, prop_id, VendorAVObject.vendor_id) if _debug: ReadWritePropertyConsoleCmd._debug(" - datatype: %r", datatype) if (value == 'null'): value = Null() elif issubclass(datatype, Atomic): if datatype is Integer: value = int(value) elif datatype is Real: value = float(value) elif datatype is Unsigned: value = int(value) value = datatype(value) elif issubclass(datatype, Array) and (indx is not None): if indx == 0: value = Integer(value) elif issubclass(datatype.subtype, Atomic): value = datatype.subtype(value) elif not isinstance(value, datatype.subtype): raise TypeError("invalid result datatype, expecting %s" % (datatype.subtype.__name__,)) elif not isinstance(value, datatype): raise TypeError("invalid result datatype, expecting %s" % (datatype.__name__,)) if _debug: ReadWritePropertyConsoleCmd._debug(" - encodeable value: %r %s", value, type(value)) request = WritePropertyRequest( objectIdentifier=(obj_type, obj_inst), propertyIdentifier=prop_id ) request.pduDestination = Address(addr) request.propertyValue = Any() try: request.propertyValue.cast_in(value) except Exception as error: ReadWritePropertyConsoleCmd._exception("WriteProperty cast error: %r", error) if indx is not None: request.propertyArrayIndex = indx if priority is not None: request.priority = priority if _debug: ReadWritePropertyConsoleCmd._debug(" - request: %r", request) iocb = IOCB(request) if _debug: ReadWritePropertyConsoleCmd._debug(" - iocb: %r", iocb) this_application.request_io(iocb) iocb.wait() if iocb.ioResponse: sys.stdout.write("ack\n") if iocb.ioError: sys.stdout.write(str(iocb.ioError) + '\n') except Exception as error: ReadWritePropertyConsoleCmd._exception("exception: %r", error) def main(): global this_application args = ConfigArgumentParser(description=__doc__).parse_args() if _debug: _log.debug("initialization") if _debug: _log.debug(" - args: %r", args) this_device = LocalDeviceObject( objectName=args.ini.objectname, objectIdentifier=int(args.ini.objectidentifier), maxApduLengthAccepted=int(args.ini.maxapdulengthaccepted), segmentationSupported=args.ini.segmentationsupported, vendorIdentifier=int(args.ini.vendoridentifier), ) this_application = BIPSimpleApplication(this_device, args.ini.address) services_supported = this_application.get_services_supported() if _debug: _log.debug(" - services_supported: %r", services_supported) this_device.protocolServicesSupported = services_supported.value this_console = ReadWritePropertyConsoleCmd() if _debug: _log.debug(" - this_console: %r", this_console) enable_sleeping() _log.debug("running") run() _log.debug("fini") if __name__ == '__main__': main()

true

f73d207bfe6d808270ec68670e0429f84853f359

47

py

Python

optirocket/library/__init__.py

Keith-Maxwell/OptiRocket

d99ac8d2b868b60a2bbf32f5a8a31ecdcaeea5b0

[ "MIT" ]

null

optirocket/library/__init__.py

Keith-Maxwell/OptiRocket

d99ac8d2b868b60a2bbf32f5a8a31ecdcaeea5b0

[ "MIT" ]

3

2021-01-14T15:09:51.000Z

2021-02-12T17:05:18.000Z

optirocket/library/__init__.py

Keith-Maxwell/OptiRocket

d99ac8d2b868b60a2bbf32f5a8a31ecdcaeea5b0

[ "MIT" ]

1

2021-01-11T02:34:29.000Z

from . import constants, orbit_lib, rich_print

23.5

46

0.808511

from . import constants, orbit_lib, rich_print

true

f73d21ec3854b7b19b2c5e02a0cc60320e1d97fa

3,715

py

Python

triple_agent/parsing/timeline/parse_full_timeline.py

andrewzwicky/TripleAgent

8d056df5c53a3d264dc778bad6771a0a2f62e7e7

[ "MIT" ]

3

2020-04-25T11:42:03.000Z

2020-07-08T16:38:26.000Z

triple_agent/parsing/timeline/parse_full_timeline.py

andrewzwicky/TripleAgent

8d056df5c53a3d264dc778bad6771a0a2f62e7e7

[ "MIT" ]

17

2019-08-11T19:09:55.000Z

2021-03-30T17:12:28.000Z

triple_agent/parsing/timeline/parse_full_timeline.py

andrewzwicky/TripleAgent

8d056df5c53a3d264dc778bad6771a0a2f62e7e7

[ "MIT" ]

null

import itertools import logging import time from typing import List, Callable from pathlib import Path from triple_agent.constants.paths import DEBUG_CAPTURES from triple_agent.classes.capture_debug_pictures import capture_debug_picture from triple_agent.classes.timeline import TimelineCoherency from triple_agent.parsing.timeline.parse_timeline import ( TimelineParseException, TimelineOddNumberScreenshots, TimelineMismatchedElapsedScreenshots, parse_screenshot, remove_overlap, ) from triple_agent.classes.game import Game from triple_agent.classes.timeline import Timeline, TimelineEvent logger = logging.getLogger("triple_agent") def merge_elapsed_screenshots( events: List[List[TimelineEvent]], ) -> List[List[TimelineEvent]]: if len(events) % 2 != 0: # If there is an odd number, no way for them to be matched up logger.warning("TimelineParseException odd number of screenshots supplied") raise TimelineOddNumberScreenshots("Odd number of screenshots supplied") possible_remaining = events[::2] possible_elapsed = events[1::2] for rem, elapse in zip(possible_remaining, possible_elapsed): for _r, _e in zip(rem, elapse): if ( _r.event != _e.event or _r.actor != _e.actor or _r.cast_name != _e.cast_name and _r.elapsed_time is None and _e.time is None ): logger.warning( "TimelineParseException mismatch between remaining and elapsed screenshots" ) raise TimelineMismatchedElapsedScreenshots( "Mismatch between remaining and elapsed screenshots" ) # everything matches, proceed with merging for rem, elapse in zip(possible_remaining, possible_elapsed): for _r, _e in zip(rem, elapse): _r.elapsed_time = _e.elapsed_time return possible_remaining def parse_full_timeline( games: List[Game], screenshot_iterator: Callable, pickle_folder: Path, json_folder: Path, ): this_game_events = [] input("Hit Enter when ready, parsing begins 10 seconds later\n") time.sleep(10) for game_index, ss_index, screenshot, is_last in screenshot_iterator(games): try: this_game_events.append(parse_screenshot(screenshot)) if is_last: if len(this_game_events) == ss_index: this_game_events = merge_elapsed_screenshots(this_game_events) flattened_lines = itertools.chain.from_iterable(this_game_events) events = remove_overlap(flattened_lines) timeline = Timeline(events) games[game_index].timeline = timeline coherency = games[game_index].is_timeline_coherent() games[game_index].add_start_clock_seconds() if coherency != TimelineCoherency.Coherent: logger.error( "INCOHERENT TIMELINE: %s %s\n", games[game_index].uuid, coherency, ) else: games[game_index].pickle(pickle_folder) games[game_index].serialize_to_json(json_folder) this_game_events = [] except TimelineParseException: capture_debug_picture( DEBUG_CAPTURES.joinpath("overall_failures"), screenshot, filename=f"{games[game_index].uuid}_{ss_index}.png", ) this_game_events = [] return games

36.421569

95

0.62638

import itertools import logging import time from typing import List, Callable from pathlib import Path from triple_agent.constants.paths import DEBUG_CAPTURES from triple_agent.classes.capture_debug_pictures import capture_debug_picture from triple_agent.classes.timeline import TimelineCoherency from triple_agent.parsing.timeline.parse_timeline import ( TimelineParseException, TimelineOddNumberScreenshots, TimelineMismatchedElapsedScreenshots, parse_screenshot, remove_overlap, ) from triple_agent.classes.game import Game from triple_agent.classes.timeline import Timeline, TimelineEvent logger = logging.getLogger("triple_agent") def merge_elapsed_screenshots( events: List[List[TimelineEvent]], ) -> List[List[TimelineEvent]]: if len(events) % 2 != 0: logger.warning("TimelineParseException odd number of screenshots supplied") raise TimelineOddNumberScreenshots("Odd number of screenshots supplied") possible_remaining = events[::2] possible_elapsed = events[1::2] for rem, elapse in zip(possible_remaining, possible_elapsed): for _r, _e in zip(rem, elapse): if ( _r.event != _e.event or _r.actor != _e.actor or _r.cast_name != _e.cast_name and _r.elapsed_time is None and _e.time is None ): logger.warning( "TimelineParseException mismatch between remaining and elapsed screenshots" ) raise TimelineMismatchedElapsedScreenshots( "Mismatch between remaining and elapsed screenshots" ) for rem, elapse in zip(possible_remaining, possible_elapsed): for _r, _e in zip(rem, elapse): _r.elapsed_time = _e.elapsed_time return possible_remaining def parse_full_timeline( games: List[Game], screenshot_iterator: Callable, pickle_folder: Path, json_folder: Path, ): this_game_events = [] input("Hit Enter when ready, parsing begins 10 seconds later\n") time.sleep(10) for game_index, ss_index, screenshot, is_last in screenshot_iterator(games): try: this_game_events.append(parse_screenshot(screenshot)) if is_last: if len(this_game_events) == ss_index: this_game_events = merge_elapsed_screenshots(this_game_events) flattened_lines = itertools.chain.from_iterable(this_game_events) events = remove_overlap(flattened_lines) timeline = Timeline(events) games[game_index].timeline = timeline coherency = games[game_index].is_timeline_coherent() games[game_index].add_start_clock_seconds() if coherency != TimelineCoherency.Coherent: logger.error( "INCOHERENT TIMELINE: %s %s\n", games[game_index].uuid, coherency, ) else: games[game_index].pickle(pickle_folder) games[game_index].serialize_to_json(json_folder) this_game_events = [] except TimelineParseException: capture_debug_picture( DEBUG_CAPTURES.joinpath("overall_failures"), screenshot, filename=f"{games[game_index].uuid}_{ss_index}.png", ) this_game_events = [] return games

true

f73d225872243a0bfe5ee1078f0b8cdbc4f8c113

1,087

py

Python

metaci/testresults/migrations/0006_testresultasset.py

sfdc-qbranch/MetaCI

78ac0d2bccd2db381998321ebd71029dd5d9ab39

[ "BSD-3-Clause" ]

48

2018-10-24T14:52:06.000Z

2022-03-25T21:14:50.000Z

metaci/testresults/migrations/0006_testresultasset.py

sfdc-qbranch/MetaCI

78ac0d2bccd2db381998321ebd71029dd5d9ab39

[ "BSD-3-Clause" ]

2,034

2018-10-31T20:59:16.000Z

2022-03-22T21:38:03.000Z

metaci/testresults/migrations/0006_testresultasset.py

sfdc-qbranch/MetaCI

78ac0d2bccd2db381998321ebd71029dd5d9ab39

[ "BSD-3-Clause" ]

27

2018-12-24T18:16:23.000Z

2021-12-15T17:57:27.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.10 on 2018-08-24 14:34 from __future__ import unicode_literals import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("testresults", "0005_testclass_test_type")] operations = [ migrations.CreateModel( name="TestResultAsset", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("asset", models.FileField(upload_to=b"")), ( "result", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="assets", to="testresults.TestResult", ), ), ], ) ]

28.605263

68

0.448022

from __future__ import unicode_literals import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("testresults", "0005_testclass_test_type")] operations = [ migrations.CreateModel( name="TestResultAsset", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("asset", models.FileField(upload_to=b"")), ( "result", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="assets", to="testresults.TestResult", ), ), ], ) ]

true

f73d22af71eb0aa4999ea66aaf3dcb8e08d60436

354

py

Python

other/dingding/dingtalk/api/rest/OapiAttendanceShiftSearchRequest.py

hth945/pytest

83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc

[ "Apache-2.0" ]

null

other/dingding/dingtalk/api/rest/OapiAttendanceShiftSearchRequest.py

hth945/pytest

83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc

[ "Apache-2.0" ]

null

other/dingding/dingtalk/api/rest/OapiAttendanceShiftSearchRequest.py

hth945/pytest

83e2aada82a2c6a0fdd1721320e5bf8b8fd59abc

[ "Apache-2.0" ]

null

''' Created by auto_sdk on 2019.07.31 ''' from dingtalk.api.base import RestApi class OapiAttendanceShiftSearchRequest(RestApi): def __init__(self,url=None): RestApi.__init__(self,url) self.op_user_id = None self.shift_name = None def getHttpMethod(self): return 'POST' def getapiname(self): return 'dingtalk.oapi.attendance.shift.search'

22.125

48

0.759887

from dingtalk.api.base import RestApi class OapiAttendanceShiftSearchRequest(RestApi): def __init__(self,url=None): RestApi.__init__(self,url) self.op_user_id = None self.shift_name = None def getHttpMethod(self): return 'POST' def getapiname(self): return 'dingtalk.oapi.attendance.shift.search'

true

f73d22f4908132b0a65462efa00808da6bb3e936

5,628

py

Python

seathru_mono_e2e.py

benelot/sea-thru

e143b75eca7dcb6887a4ecc98691816e6b9d3b69

[ "MIT" ]

1

2021-06-17T07:16:28.000Z

seathru_mono_e2e.py

benelot/sea-thru

e143b75eca7dcb6887a4ecc98691816e6b9d3b69

[ "MIT" ]

null

seathru_mono_e2e.py

benelot/sea-thru

e143b75eca7dcb6887a4ecc98691816e6b9d3b69

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function import os import argparse import PIL.Image as pil import rawpy import torch from torchvision import transforms import numpy as np import deps.monodepth2.networks as networks from deps.monodepth2.utils import download_model_if_doesnt_exist from seathru import preprocess_monodepth_depth_map, run_pipeline, estimate_sigma, denoise_tv_chambolle def run(args): """Function to predict for a single image or folder of images """ assert args.model_name is not None, "You must specify the --model_name parameter; see README.md for an example" if torch.cuda.is_available() and not args.no_cuda: device = torch.device("cuda") else: device = torch.device("cpu") download_model_if_doesnt_exist(args.model_name) model_path = os.path.join("models", args.model_name) print("-> Loading model from ", model_path) encoder_path = os.path.join(model_path, "encoder.pth") depth_decoder_path = os.path.join(model_path, "depth.pth") # LOADING PRETRAINED MODEL print(" Loading pretrained encoder") encoder = networks.ResnetEncoder(18, False) loaded_dict_enc = torch.load(encoder_path, map_location=device) # extract the height and width of image that this model was trained with feed_height = loaded_dict_enc['height'] feed_width = loaded_dict_enc['width'] filtered_dict_enc = {k: v for k, v in loaded_dict_enc.items() if k in encoder.state_dict()} encoder.load_state_dict(filtered_dict_enc) encoder.to(device) encoder.eval() print(" Loading pretrained decoder") depth_decoder = networks.DepthDecoder( num_ch_enc=encoder.num_ch_enc, scales=range(4)) loaded_dict = torch.load(depth_decoder_path, map_location=device) depth_decoder.load_state_dict(loaded_dict) depth_decoder.to(device) depth_decoder.eval() # Load image and preprocess img = pil.fromarray(rawpy.imread(args.image).postprocess()) if args.raw else pil.open(args.image).convert('RGB') img.thumbnail((args.size, args.size), pil.ANTIALIAS) original_width, original_height = img.size # img = exposure.equalize_adapthist(np.array(img), clip_limit=0.03) # img = pil.fromarray((np.round(img * 255.0)).astype(np.uint8)) input_image = img.resize((feed_width, feed_height), pil.LANCZOS) input_image = transforms.ToTensor()(input_image).unsqueeze(0) print('Preprocessed image', flush=True) # PREDICTION input_image = input_image.to(device) features = encoder(input_image) outputs = depth_decoder(features) disp = outputs[("disp", 0)] disp_resized = torch.nn.functional.interpolate( disp, (original_height, original_width), mode="bilinear", align_corners=False) # Saving colormapped depth image disp_resized_np = disp_resized.squeeze().cpu().detach().numpy() mapped_im_depths = ((disp_resized_np - np.min(disp_resized_np)) / ( np.max(disp_resized_np) - np.min(disp_resized_np))).astype(np.float32) print("Processed image", flush=True) print('Loading image...', flush=True) depths = preprocess_monodepth_depth_map(mapped_im_depths, args.monodepth_add_depth, args.monodepth_multiply_depth) recovered = run_pipeline(np.array(img) / 255.0, depths, args) # recovered = exposure.equalize_adapthist(scale(np.array(recovered)), clip_limit=0.03) sigma_est = estimate_sigma(recovered, multichannel=True, average_sigmas=True) / 10.0 recovered = denoise_tv_chambolle(recovered, sigma_est, multichannel=True) im = pil.fromarray((np.round(recovered * 255.0)).astype(np.uint8)) from pathlib import Path p = Path(args.image) im.save(args.output.format(p.stem), format='png') print('Done.') if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--image', required=True, help='Input image') parser.add_argument('--output', default='outputs/{0}.png', help='Output filename') parser.add_argument('--f', type=float, default=2.0, help='f value (controls brightness)') parser.add_argument('--l', type=float, default=0.5, help='l value (controls balance of attenuation constants)') parser.add_argument('--p', type=float, default=0.01, help='p value (controls locality of illuminant map)') parser.add_argument('--min-depth', type=float, default=0.0, help='Minimum depth value to use in estimations (range 0-1)') parser.add_argument('--max-depth', type=float, default=1.0, help='Replacement depth percentile value for invalid depths (range 0-1)') parser.add_argument('--spread-data-fraction', type=float, default=0.05, help='Require data to be this fraction of depth range away from each other in attenuation estimations') parser.add_argument('--size', type=int, default=320, help='Size to output') parser.add_argument('--monodepth-add-depth', type=float, default=2.0, help='Additive value for monodepth map') parser.add_argument('--monodepth-multiply-depth', type=float, default=10.0, help='Multiplicative value for monodepth map') parser.add_argument('--model-name', type=str, default="mono_1024x320", help='monodepth model name') parser.add_argument('--output-graphs', action='store_true', help='Output graphs') parser.add_argument('--result-graphs', action='store_true', help='Result graphs') parser.add_argument('--raw', action='store_true', help='RAW image') args = parser.parse_args() run(args)

46.9

127

0.706645

from __future__ import absolute_import, division, print_function import os import argparse import PIL.Image as pil import rawpy import torch from torchvision import transforms import numpy as np import deps.monodepth2.networks as networks from deps.monodepth2.utils import download_model_if_doesnt_exist from seathru import preprocess_monodepth_depth_map, run_pipeline, estimate_sigma, denoise_tv_chambolle def run(args): assert args.model_name is not None, "You must specify the --model_name parameter; see README.md for an example" if torch.cuda.is_available() and not args.no_cuda: device = torch.device("cuda") else: device = torch.device("cpu") download_model_if_doesnt_exist(args.model_name) model_path = os.path.join("models", args.model_name) print("-> Loading model from ", model_path) encoder_path = os.path.join(model_path, "encoder.pth") depth_decoder_path = os.path.join(model_path, "depth.pth") print(" Loading pretrained encoder") encoder = networks.ResnetEncoder(18, False) loaded_dict_enc = torch.load(encoder_path, map_location=device) feed_height = loaded_dict_enc['height'] feed_width = loaded_dict_enc['width'] filtered_dict_enc = {k: v for k, v in loaded_dict_enc.items() if k in encoder.state_dict()} encoder.load_state_dict(filtered_dict_enc) encoder.to(device) encoder.eval() print(" Loading pretrained decoder") depth_decoder = networks.DepthDecoder( num_ch_enc=encoder.num_ch_enc, scales=range(4)) loaded_dict = torch.load(depth_decoder_path, map_location=device) depth_decoder.load_state_dict(loaded_dict) depth_decoder.to(device) depth_decoder.eval() img = pil.fromarray(rawpy.imread(args.image).postprocess()) if args.raw else pil.open(args.image).convert('RGB') img.thumbnail((args.size, args.size), pil.ANTIALIAS) original_width, original_height = img.size input_image = img.resize((feed_width, feed_height), pil.LANCZOS) input_image = transforms.ToTensor()(input_image).unsqueeze(0) print('Preprocessed image', flush=True) input_image = input_image.to(device) features = encoder(input_image) outputs = depth_decoder(features) disp = outputs[("disp", 0)] disp_resized = torch.nn.functional.interpolate( disp, (original_height, original_width), mode="bilinear", align_corners=False) disp_resized_np = disp_resized.squeeze().cpu().detach().numpy() mapped_im_depths = ((disp_resized_np - np.min(disp_resized_np)) / ( np.max(disp_resized_np) - np.min(disp_resized_np))).astype(np.float32) print("Processed image", flush=True) print('Loading image...', flush=True) depths = preprocess_monodepth_depth_map(mapped_im_depths, args.monodepth_add_depth, args.monodepth_multiply_depth) recovered = run_pipeline(np.array(img) / 255.0, depths, args) sigma_est = estimate_sigma(recovered, multichannel=True, average_sigmas=True) / 10.0 recovered = denoise_tv_chambolle(recovered, sigma_est, multichannel=True) im = pil.fromarray((np.round(recovered * 255.0)).astype(np.uint8)) from pathlib import Path p = Path(args.image) im.save(args.output.format(p.stem), format='png') print('Done.') if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--image', required=True, help='Input image') parser.add_argument('--output', default='outputs/{0}.png', help='Output filename') parser.add_argument('--f', type=float, default=2.0, help='f value (controls brightness)') parser.add_argument('--l', type=float, default=0.5, help='l value (controls balance of attenuation constants)') parser.add_argument('--p', type=float, default=0.01, help='p value (controls locality of illuminant map)') parser.add_argument('--min-depth', type=float, default=0.0, help='Minimum depth value to use in estimations (range 0-1)') parser.add_argument('--max-depth', type=float, default=1.0, help='Replacement depth percentile value for invalid depths (range 0-1)') parser.add_argument('--spread-data-fraction', type=float, default=0.05, help='Require data to be this fraction of depth range away from each other in attenuation estimations') parser.add_argument('--size', type=int, default=320, help='Size to output') parser.add_argument('--monodepth-add-depth', type=float, default=2.0, help='Additive value for monodepth map') parser.add_argument('--monodepth-multiply-depth', type=float, default=10.0, help='Multiplicative value for monodepth map') parser.add_argument('--model-name', type=str, default="mono_1024x320", help='monodepth model name') parser.add_argument('--output-graphs', action='store_true', help='Output graphs') parser.add_argument('--result-graphs', action='store_true', help='Result graphs') parser.add_argument('--raw', action='store_true', help='RAW image') args = parser.parse_args() run(args)

true

f73d23c151e6c4812ac5f37754dfe25ad79c6e32

1,526

py

Python

tests/test_fileio.py

richardt94/landshark

e4f347857a750d050d2cd568c6bcbd8f4a6c1f7f

[ "Apache-2.0" ]

10

2019-03-05T23:53:58.000Z

2021-12-17T08:27:05.000Z

tests/test_fileio.py

richardt94/landshark

e4f347857a750d050d2cd568c6bcbd8f4a6c1f7f

[ "Apache-2.0" ]

7

2019-03-05T05:39:02.000Z

2020-02-03T01:10:40.000Z

tests/test_fileio.py

richardt94/landshark

e4f347857a750d050d2cd568c6bcbd8f4a6c1f7f

[ "Apache-2.0" ]

8

2019-03-23T22:55:25.000Z

2021-01-12T05:14:31.000Z

"""Test fileio modeule.""" # Copyright 2019 CSIRO (Data61) # # 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 License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import pytest from landshark.fileio import tifnames tifs = [ "./integration/data/categorical/PM_Lithology_Unit_Type_missing.tif", "./integration/data/categorical/Soil_ASC_missing.tif", "./integration/data/continuous/SirSamualAusGravity2011_ll_missing.tif", "./integration/data/continuous/SirSamualAusMagV6_rtp_ll_missing.tif", "./integration/data/nonmissing/PM_Lithology_Unit_Type.tif", "./integration/data/nonmissing/SirSamualAusGravity2011_ll.tif", "./integration/data/nonmissing/SirSamualAusMagV6_rtp_ll.tif", "./integration/data/nonmissing/Soil_ASC.tif", ] dirs_tifs = [ (["./integration/data"], tifs), (["./integration/data/categorical/"], tifs[:2]), (["./integration/data/continuous/", "./integration/data/categorical/"], tifs[:4]), ] @pytest.mark.parametrize("dirs,tifs", dirs_tifs) def test_tifnames(dirs, tifs): assert set(tifnames(dirs)) == set(tifs)

35.488372

75

0.739843

import pytest from landshark.fileio import tifnames tifs = [ "./integration/data/categorical/PM_Lithology_Unit_Type_missing.tif", "./integration/data/categorical/Soil_ASC_missing.tif", "./integration/data/continuous/SirSamualAusGravity2011_ll_missing.tif", "./integration/data/continuous/SirSamualAusMagV6_rtp_ll_missing.tif", "./integration/data/nonmissing/PM_Lithology_Unit_Type.tif", "./integration/data/nonmissing/SirSamualAusGravity2011_ll.tif", "./integration/data/nonmissing/SirSamualAusMagV6_rtp_ll.tif", "./integration/data/nonmissing/Soil_ASC.tif", ] dirs_tifs = [ (["./integration/data"], tifs), (["./integration/data/categorical/"], tifs[:2]), (["./integration/data/continuous/", "./integration/data/categorical/"], tifs[:4]), ] @pytest.mark.parametrize("dirs,tifs", dirs_tifs) def test_tifnames(dirs, tifs): assert set(tifnames(dirs)) == set(tifs)

true

f73d241507e9e9cfd2e55c24bb01c66368138271

4,826

py

Python

bc4py/user/api/ep_system.py

namuyan/bc4py

6484d356096261d0d57e9e1f5ffeae1f9a9865f3

[ "MIT" ]

12

2018-09-19T14:02:09.000Z

2020-01-27T16:20:14.000Z

bc4py/user/api/ep_system.py

kumacoinproject/bc4py

6484d356096261d0d57e9e1f5ffeae1f9a9865f3

[ "MIT" ]

1

2020-03-19T16:57:30.000Z

bc4py/user/api/ep_system.py

namuyan/bc4py

6484d356096261d0d57e9e1f5ffeae1f9a9865f3

[ "MIT" ]

6

2018-11-13T17:20:14.000Z

2020-02-15T11:46:52.000Z

from bc4py import __version__, __chain_version__, __message__ from bc4py.config import C, V, P from bc4py.chain.utils import GompertzCurve, DEFAULT_TARGET from bc4py.chain.difficulty import get_bits_by_hash, get_bias_by_hash from bc4py.database import obj from bc4py.user.api.utils import error_response, local_address from bc4py.user.generate import generating_threads from time import time import p2p_python.config import p2p_python MAX_256_FLOAT = float(0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff) start_time = int(time()) F_ADD_CACHE_INFO = False # to adjust cache size __api_version__ = '0.0.2' async def chain_info(): """ This end-point show blockchain status of node. """ try: best_height = obj.chain_builder.best_block.height best_block = obj.chain_builder.best_block best_block_info = best_block.getinfo() best_block_info['hex'] = best_block.b.hex() old_block_height = obj.chain_builder.best_chain[0].height - 1 old_block_hash = obj.chain_builder.get_block_hash(old_block_height).hex() data = {'best': best_block_info} difficulty = dict() for consensus, ratio in V.BLOCK_CONSENSUSES.items(): name = C.consensus2name[consensus] bits, target = get_bits_by_hash(previous_hash=best_block.hash, consensus=consensus) target = float(target) block_time = round(V.BLOCK_TIME_SPAN / ratio * 100) diff = round(DEFAULT_TARGET / target, 8) bias = get_bias_by_hash(previous_hash=best_block.previous_hash, consensus=consensus) difficulty[name] = { 'number': consensus, 'bits': bits.to_bytes(4, 'big').hex(), 'diff': round(diff, 8), 'bias': round(bias, 8), 'fixed_diff': round(diff / bias, 8), 'hashrate(kh/s)': round((MAX_256_FLOAT/target) / block_time / 1000, 3) } data['mining'] = difficulty data['size'] = best_block.size data['checkpoint'] = {'height': old_block_height, 'blockhash': old_block_hash} data['money_supply'] = GompertzCurve.calc_total_supply(best_height) data['total_supply'] = GompertzCurve.k if F_ADD_CACHE_INFO: data['cache'] = { 'get_bits_by_hash': str(get_bits_by_hash.cache_info()), 'get_bias_by_hash': str(get_bias_by_hash.cache_info()) } return data except Exception: return error_response() async def chain_fork_info(): """ This end-point show blockchain fork info. """ try: best_chain = obj.chain_builder.best_chain main_chain = [block.getinfo() for block in best_chain] orphan_chain = [block.getinfo() for block in obj.chain_builder.chain.values() if block not in best_chain] return { 'main': main_chain, 'orphan': sorted(orphan_chain, key=lambda x: x['height']), 'root': obj.chain_builder.root_block.getinfo(), } except Exception: return error_response() async def system_info(): """ This end-point show public system info. """ return { 'network_ver': p2p_python.config.V.NETWORK_VER, 'system_ver': __version__, 'api_ver': __api_version__, 'chain_ver': __chain_version__, 'p2p_ver': p2p_python.__version__, 'message': __message__, 'booting': P.F_NOW_BOOTING, 'connections': len(V.P2P_OBJ.core.user), 'access_time': int(time()), 'start_time': start_time, 'genesis_time': V.BLOCK_GENESIS_TIME, } async def system_private_info(): """ This end-point show private system info. """ try: return { 'branch': V.BRANCH_NAME, 'source_hash': V.SOURCE_HASH, 'directory': V.DB_HOME_DIR, 'unconfirmed': [txhash.hex() for txhash in obj.tx_builder.memory_pool.list_all_hash()], 'generate_threads': [str(s) for s in generating_threads], 'local_address': list(local_address), 'prefetch_address': len(obj.account_builder.pre_fetch_addr), 'extended_key': repr(V.EXTENDED_KEY_OBJ), } except Exception: return error_response() async def network_info(): """ This end-point show network connection info. """ try: peers = list() data = V.P2P_OBJ.core.get_my_user_header() for user in V.P2P_OBJ.core.user: peers.append(user.getinfo()) data['peers'] = peers return data except Exception: return error_response() __all__ = [ "__api_version__", "chain_info", "chain_fork_info", "system_info", "system_private_info", "network_info", ]

34.471429

113

0.63448

from bc4py import __version__, __chain_version__, __message__ from bc4py.config import C, V, P from bc4py.chain.utils import GompertzCurve, DEFAULT_TARGET from bc4py.chain.difficulty import get_bits_by_hash, get_bias_by_hash from bc4py.database import obj from bc4py.user.api.utils import error_response, local_address from bc4py.user.generate import generating_threads from time import time import p2p_python.config import p2p_python MAX_256_FLOAT = float(0xffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff) start_time = int(time()) F_ADD_CACHE_INFO = False __api_version__ = '0.0.2' async def chain_info(): try: best_height = obj.chain_builder.best_block.height best_block = obj.chain_builder.best_block best_block_info = best_block.getinfo() best_block_info['hex'] = best_block.b.hex() old_block_height = obj.chain_builder.best_chain[0].height - 1 old_block_hash = obj.chain_builder.get_block_hash(old_block_height).hex() data = {'best': best_block_info} difficulty = dict() for consensus, ratio in V.BLOCK_CONSENSUSES.items(): name = C.consensus2name[consensus] bits, target = get_bits_by_hash(previous_hash=best_block.hash, consensus=consensus) target = float(target) block_time = round(V.BLOCK_TIME_SPAN / ratio * 100) diff = round(DEFAULT_TARGET / target, 8) bias = get_bias_by_hash(previous_hash=best_block.previous_hash, consensus=consensus) difficulty[name] = { 'number': consensus, 'bits': bits.to_bytes(4, 'big').hex(), 'diff': round(diff, 8), 'bias': round(bias, 8), 'fixed_diff': round(diff / bias, 8), 'hashrate(kh/s)': round((MAX_256_FLOAT/target) / block_time / 1000, 3) } data['mining'] = difficulty data['size'] = best_block.size data['checkpoint'] = {'height': old_block_height, 'blockhash': old_block_hash} data['money_supply'] = GompertzCurve.calc_total_supply(best_height) data['total_supply'] = GompertzCurve.k if F_ADD_CACHE_INFO: data['cache'] = { 'get_bits_by_hash': str(get_bits_by_hash.cache_info()), 'get_bias_by_hash': str(get_bias_by_hash.cache_info()) } return data except Exception: return error_response() async def chain_fork_info(): try: best_chain = obj.chain_builder.best_chain main_chain = [block.getinfo() for block in best_chain] orphan_chain = [block.getinfo() for block in obj.chain_builder.chain.values() if block not in best_chain] return { 'main': main_chain, 'orphan': sorted(orphan_chain, key=lambda x: x['height']), 'root': obj.chain_builder.root_block.getinfo(), } except Exception: return error_response() async def system_info(): return { 'network_ver': p2p_python.config.V.NETWORK_VER, 'system_ver': __version__, 'api_ver': __api_version__, 'chain_ver': __chain_version__, 'p2p_ver': p2p_python.__version__, 'message': __message__, 'booting': P.F_NOW_BOOTING, 'connections': len(V.P2P_OBJ.core.user), 'access_time': int(time()), 'start_time': start_time, 'genesis_time': V.BLOCK_GENESIS_TIME, } async def system_private_info(): try: return { 'branch': V.BRANCH_NAME, 'source_hash': V.SOURCE_HASH, 'directory': V.DB_HOME_DIR, 'unconfirmed': [txhash.hex() for txhash in obj.tx_builder.memory_pool.list_all_hash()], 'generate_threads': [str(s) for s in generating_threads], 'local_address': list(local_address), 'prefetch_address': len(obj.account_builder.pre_fetch_addr), 'extended_key': repr(V.EXTENDED_KEY_OBJ), } except Exception: return error_response() async def network_info(): try: peers = list() data = V.P2P_OBJ.core.get_my_user_header() for user in V.P2P_OBJ.core.user: peers.append(user.getinfo()) data['peers'] = peers return data except Exception: return error_response() __all__ = [ "__api_version__", "chain_info", "chain_fork_info", "system_info", "system_private_info", "network_info", ]

true

f73d246dbd7ffe28388c48dca6f1393c92607979

835

py

Python

schemas/emergency_contact.py

whiletrace/dwellinglybackend

e766b3d612b4c92fd337b82498ab8ef68bd95e1f

[ "MIT" ]

15

2020-07-09T20:51:09.000Z

2021-11-28T21:59:02.000Z

schemas/emergency_contact.py

codeforpdx/dwellinglybackend

92fee6d19a68ae00750927b8700eaa7195b57668

[ "MIT" ]

148

2020-03-28T22:10:30.000Z

2021-12-19T09:22:59.000Z

schemas/emergency_contact.py

whiletrace/dwellinglybackend

e766b3d612b4c92fd337b82498ab8ef68bd95e1f

[ "MIT" ]

30

2020-03-12T02:31:27.000Z

2021-07-29T02:40:36.000Z

from ma import ma from models.emergency_contact import EmergencyContactModel from marshmallow import fields, validates, ValidationError from schemas.contact_number import ContactNumberSchema class EmergencyContactSchema(ma.SQLAlchemyAutoSchema): class Meta: model = EmergencyContactModel contact_numbers = fields.List(fields.Nested(ContactNumberSchema), required=True) @validates("name") def validate_name(self, value): if EmergencyContactModel.find_by_name(value): raise ValidationError(f"{value} is already an emergency contact") @validates("contact_numbers") def validate_contact_numbers(self, contact_numbers): if len(contact_numbers) < 1: raise ValidationError( "Emergency contacts must have at least one contact number." )

33.4

84

0.731737

from ma import ma from models.emergency_contact import EmergencyContactModel from marshmallow import fields, validates, ValidationError from schemas.contact_number import ContactNumberSchema class EmergencyContactSchema(ma.SQLAlchemyAutoSchema): class Meta: model = EmergencyContactModel contact_numbers = fields.List(fields.Nested(ContactNumberSchema), required=True) @validates("name") def validate_name(self, value): if EmergencyContactModel.find_by_name(value): raise ValidationError(f"{value} is already an emergency contact") @validates("contact_numbers") def validate_contact_numbers(self, contact_numbers): if len(contact_numbers) < 1: raise ValidationError( "Emergency contacts must have at least one contact number." )

true

f73d267f5f627caa7450779c2a8f2fceb1113360

1,664

py

Python

ch04/gradient_2d.py

Yuansurex/deep_learning

b3597b414fb6fed2fbb7af8c8ac0b329c9e77417

[ "MIT" ]

null

ch04/gradient_2d.py

Yuansurex/deep_learning

b3597b414fb6fed2fbb7af8c8ac0b329c9e77417

[ "MIT" ]

null

ch04/gradient_2d.py

Yuansurex/deep_learning

b3597b414fb6fed2fbb7af8c8ac0b329c9e77417

[ "MIT" ]

null

# coding: utf-8 # cf.http://d.hatena.ne.jp/white_wheels/20100327/p3 import numpy as np import matplotlib.pylab as plt from mpl_toolkits.mplot3d import Axes3D def _numerical_gradient_no_batch(f, x): h = 1e-4 # 0.0001 grad = np.zeros_like(x) for idx in range(x.size): tmp_val = x[idx] x[idx] = float(tmp_val) + h fxh1 = f(x) # f(x+h) x[idx] = tmp_val - h fxh2 = f(x) # f(x-h) grad[idx] = (fxh1 - fxh2) / (2*h) x[idx] = tmp_val # 还原值 return grad def numerical_gradient(f, X): if X.ndim == 1: return _numerical_gradient_no_batch(f, X) else: grad = np.zeros_like(X) for idx, x in enumerate(X): # (0, seq[0]), (1, seq[1]), (2, seq[2]), ... grad[idx] = _numerical_gradient_no_batch(f, x) return grad def function_2(x): if x.ndim == 1: return np.sum(x**2) else: return np.sum(x**2, axis=1) def tangent_line(f, x): d = numerical_gradient(f, x) print(d) y = f(x) - d*x return lambda t: d*t + y if __name__ == '__main__': x0 = np.arange(-2, 2.5, 0.25) x1 = np.arange(-2, 2.5, 0.25) X, Y = np.meshgrid(x0, x1) # 构建平面方格18*18=324 X = X.flatten() # (324,1) Y = Y.flatten() grad = numerical_gradient(function_2, np.array([X, Y])) # 拼成一个数组 plt.figure() plt.quiver(X, Y, -grad[0], -grad[1], angles="xy",color="#666666") # headwidth=10,scale=40,color="#444444") 绘制二维矢量场图 plt.xlim([-2, 2]) plt.ylim([-2, 2]) plt.xlabel('x0') plt.ylabel('x1') plt.grid() plt.legend() plt.draw() plt.show()

24.115942

121

0.538462

import numpy as np import matplotlib.pylab as plt from mpl_toolkits.mplot3d import Axes3D def _numerical_gradient_no_batch(f, x): h = 1e-4 grad = np.zeros_like(x) for idx in range(x.size): tmp_val = x[idx] x[idx] = float(tmp_val) + h fxh1 = f(x) x[idx] = tmp_val - h fxh2 = f(x) grad[idx] = (fxh1 - fxh2) / (2*h) x[idx] = tmp_val return grad def numerical_gradient(f, X): if X.ndim == 1: return _numerical_gradient_no_batch(f, X) else: grad = np.zeros_like(X) for idx, x in enumerate(X): grad[idx] = _numerical_gradient_no_batch(f, x) return grad def function_2(x): if x.ndim == 1: return np.sum(x**2) else: return np.sum(x**2, axis=1) def tangent_line(f, x): d = numerical_gradient(f, x) print(d) y = f(x) - d*x return lambda t: d*t + y if __name__ == '__main__': x0 = np.arange(-2, 2.5, 0.25) x1 = np.arange(-2, 2.5, 0.25) X, Y = np.meshgrid(x0, x1) X = X.flatten() Y = Y.flatten() grad = numerical_gradient(function_2, np.array([X, Y])) plt.figure() plt.quiver(X, Y, -grad[0], -grad[1], angles="xy",color="#666666") plt.xlim([-2, 2]) plt.ylim([-2, 2]) plt.xlabel('x0') plt.ylabel('x1') plt.grid() plt.legend() plt.draw() plt.show()

true

f73d268b360ce2bfb09eb113e5b444ab9cac137f

756

py

Python

python-algorithm/leetcode/problem_1765.py

isudox/leetcode-solution

60085e64deaf396a171367affc94b18114565c43

[ "MIT" ]

5

2017-06-11T09:19:34.000Z

2019-01-16T16:58:31.000Z

python-algorithm/leetcode/problem_1765.py

isudox/leetcode-solution

60085e64deaf396a171367affc94b18114565c43

[ "MIT" ]

null

python-algorithm/leetcode/problem_1765.py

isudox/leetcode-solution

60085e64deaf396a171367affc94b18114565c43

[ "MIT" ]

1

2019-03-02T15:50:43.000Z

"""1765. Map of Highest Peak https://leetcode.com/problems/map-of-highest-peak/ """ from typing import List class Solution: def highest_peak(self, is_water: List[List[int]]) -> List[List[int]]: m, n = len(is_water), len(is_water[0]) ans = [[-1] * n for _ in range(m)] q = [] for i in range(m): for j in range(n): if is_water[i][j]: ans[i][j] = 0 q.append([i, j]) while q: i, j = q.pop(0) for x, y in [[i - 1, j], [i + 1, j], [i, j - 1], [i, j + 1]]: if 0 <= x < m and 0 <= y < n and ans[x][y] == -1: ans[x][y] = ans[i][j] + 1 q.append([x, y]) return ans

31.5

73

0.419312

from typing import List class Solution: def highest_peak(self, is_water: List[List[int]]) -> List[List[int]]: m, n = len(is_water), len(is_water[0]) ans = [[-1] * n for _ in range(m)] q = [] for i in range(m): for j in range(n): if is_water[i][j]: ans[i][j] = 0 q.append([i, j]) while q: i, j = q.pop(0) for x, y in [[i - 1, j], [i + 1, j], [i, j - 1], [i, j + 1]]: if 0 <= x < m and 0 <= y < n and ans[x][y] == -1: ans[x][y] = ans[i][j] + 1 q.append([x, y]) return ans

true

f73d2b3339e86cb727a6a149211b3c8ff0e9dfcb

621

py

Python

divide.py

rharyadi/cryptophrenia

35fa4b0e4c24079909d73c11ee2fd5398a1ba931

[ "WTFPL" ]

null

divide.py

rharyadi/cryptophrenia

35fa4b0e4c24079909d73c11ee2fd5398a1ba931

[ "WTFPL" ]

null

divide.py

rharyadi/cryptophrenia

35fa4b0e4c24079909d73c11ee2fd5398a1ba931

[ "WTFPL" ]

null

#!/usr/bin/env python3 """ Dividing integer numbers and returning list [q, r]. Which are quotient and remainder, respectively. """ from sys import argv from errorhandler import zerodiv, inputerror def divide(a,b): try: q = a // b except ZeroDivisionError: zerodiv("b") r = a - b*q return [q,r] if __name__ == "__main__": if len(argv) != 3: inputerror(2) try: a, b = int(argv[1]), int(argv[2]) except ValueError: inputerror(2) [q,r] = divide(a,b) print(""" a = %d, b = %d, q = %d, r = %d satisfy a = b*q + r """ %(a,b,q,r))

18.264706

70

0.542673

from sys import argv from errorhandler import zerodiv, inputerror def divide(a,b): try: q = a // b except ZeroDivisionError: zerodiv("b") r = a - b*q return [q,r] if __name__ == "__main__": if len(argv) != 3: inputerror(2) try: a, b = int(argv[1]), int(argv[2]) except ValueError: inputerror(2) [q,r] = divide(a,b) print(""" a = %d, b = %d, q = %d, r = %d satisfy a = b*q + r """ %(a,b,q,r))

true

f73d2c35e2773ea1a9629cb3506e18df9ed0bb46

464

py

Python

data/scripts/templates/object/tangible/lair/base/shared_poi_all_lair_warren_large_fog_mustard.py

obi-two/GameServer

7d37024e2291a97d49522610cd8f1dbe5666afc2

[ "MIT" ]

20

2015-02-23T15:11:56.000Z

2022-03-18T20:56:48.000Z

data/scripts/templates/object/tangible/lair/base/shared_poi_all_lair_warren_large_fog_mustard.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

null

data/scripts/templates/object/tangible/lair/base/shared_poi_all_lair_warren_large_fog_mustard.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

20

2015-04-04T16:35:59.000Z

2022-03-24T14:54:37.000Z

#### NOTICE: THIS FILE IS AUTOGENERATED #### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY #### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES from swgpy.object import * def create(kernel): result = Tangible() result.template = "object/tangible/lair/base/shared_poi_all_lair_warren_large_fog_mustard.iff" result.attribute_template_id = -1 result.stfName("lair_n","warren") #### BEGIN MODIFICATIONS #### #### END MODIFICATIONS #### return result

27.294118

95

0.734914

true

f73d2d574ee01a343eb3a8f97c059592f8cd1389

4,004

py

Python

doc/display/e-Paper-master/RaspberryPi_JetsonNano/python/examples/epd_7in5bc_test.py

bartoszp1992/Tacho2

b8bf0928775c648b6191b7d90890d09bd87799f0

[ "MIT" ]

null

doc/display/e-Paper-master/RaspberryPi_JetsonNano/python/examples/epd_7in5bc_test.py

bartoszp1992/Tacho2

b8bf0928775c648b6191b7d90890d09bd87799f0

[ "MIT" ]

null

doc/display/e-Paper-master/RaspberryPi_JetsonNano/python/examples/epd_7in5bc_test.py

bartoszp1992/Tacho2

b8bf0928775c648b6191b7d90890d09bd87799f0

[ "MIT" ]

null

#!/usr/bin/python # -*- coding:utf-8 -*- import sys import os picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic') libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib') if os.path.exists(libdir): sys.path.append(libdir) import logging from waveshare_epd import epd7in5bc import time from PIL import Image,ImageDraw,ImageFont import traceback logging.basicConfig(level=logging.DEBUG) try: logging.info("epd7in5bc Demo") epd = epd7in5bc.EPD() logging.info("init and Clear") epd.init() epd.Clear() time.sleep(1) # Drawing on the image logging.info("Drawing") font24 = ImageFont.truetype(os.path.join(picdir, 'Font.ttc'), 24) font18 = ImageFont.truetype(os.path.join(picdir, 'Font.ttc'), 18) # Drawing on the Horizontal image logging.info("1.Drawing on the Horizontal image...") HBlackimage = Image.new('1', (epd.width, epd.height), 255) # 298*126 HRYimage = Image.new('1', (epd.width, epd.height), 255) # 298*126 ryimage: red or yellow image drawblack = ImageDraw.Draw(HBlackimage) drawry = ImageDraw.Draw(HRYimage) drawblack.text((10, 0), 'hello world', font = font24, fill = 0) drawblack.text((10, 20), '7.5inch e-Paper bc', font = font24, fill = 0) drawblack.text((150, 0), u'微雪电子', font = font24, fill = 0) drawblack.line((20, 50, 70, 100), fill = 0) drawblack.line((70, 50, 20, 100), fill = 0) drawblack.rectangle((20, 50, 70, 100), outline = 0) drawry.line((165, 50, 165, 100), fill = 0) drawry.line((140, 75, 190, 75), fill = 0) drawry.arc((140, 50, 190, 100), 0, 360, fill = 0) drawry.rectangle((80, 50, 130, 100), fill = 0) drawry.chord((200, 50, 250, 100), 0, 360, fill = 0) epd.display(epd.getbuffer(HBlackimage), epd.getbuffer(HRYimage)) time.sleep(2) # Drawing on the Vertical image logging.info("2.Drawing on the Vertical image...") LBlackimage = Image.new('1', (epd.height, epd.width), 255) # 126*298 LRYimage = Image.new('1', (epd.height, epd.width), 255) # 126*298 drawblack = ImageDraw.Draw(LBlackimage) drawry = ImageDraw.Draw(LRYimage) drawblack.text((2, 0), 'hello world', font = font18, fill = 0) drawblack.text((2, 20), '7.5inch epd bc', font = font18, fill = 0) drawblack.text((20, 50), u'微雪电子', font = font18, fill = 0) drawblack.line((10, 90, 60, 140), fill = 0) drawblack.line((60, 90, 10, 140), fill = 0) drawblack.rectangle((10, 90, 60, 140), outline = 0) drawry.line((95, 90, 95, 140), fill = 0) drawry.line((70, 115, 120, 115), fill = 0) drawry.arc((70, 90, 120, 140), 0, 360, fill = 0) drawry.rectangle((10, 150, 60, 200), fill = 0) drawry.chord((70, 150, 120, 200), 0, 360, fill = 0) epd.display(epd.getbuffer(LBlackimage), epd.getbuffer(LRYimage)) time.sleep(2) logging.info("3.read bmp file") HBlackimage = Image.open(os.path.join(picdir, '7in5b-b.bmp')) HRYimage = Image.open(os.path.join(picdir, '7in5b-r.bmp')) # HBlackimage = Image.open(os.path.join(picdir, '7in5c-b.bmp')) # HRYimage = Image.open(os.path.join(picdir, '7in5c-r.bmp')) epd.display(epd.getbuffer(HBlackimage), epd.getbuffer(HRYimage)) time.sleep(2) logging.info("4.read bmp file on window") blackimage1 = Image.new('1', (epd.width, epd.height), 255) # 298*126 redimage1 = Image.new('1', (epd.width, epd.height), 255) # 298*126 newimage = Image.open(os.path.join(picdir, '100x100.bmp')) blackimage1.paste(newimage, (50,10)) epd.display(epd.getbuffer(blackimage1), epd.getbuffer(redimage1)) logging.info("Clear...") epd.init() epd.Clear() logging.info("Goto Sleep...") epd.sleep() time.sleep(3) epd.Dev_exit() except IOError as e: logging.info(e) except KeyboardInterrupt: logging.info("ctrl + c:") epd7in5bc.epdconfig.module_exit() exit()

37.773585

102

0.633367

import sys import os picdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'pic') libdir = os.path.join(os.path.dirname(os.path.dirname(os.path.realpath(__file__))), 'lib') if os.path.exists(libdir): sys.path.append(libdir) import logging from waveshare_epd import epd7in5bc import time from PIL import Image,ImageDraw,ImageFont import traceback logging.basicConfig(level=logging.DEBUG) try: logging.info("epd7in5bc Demo") epd = epd7in5bc.EPD() logging.info("init and Clear") epd.init() epd.Clear() time.sleep(1) logging.info("Drawing") font24 = ImageFont.truetype(os.path.join(picdir, 'Font.ttc'), 24) font18 = ImageFont.truetype(os.path.join(picdir, 'Font.ttc'), 18) logging.info("1.Drawing on the Horizontal image...") HBlackimage = Image.new('1', (epd.width, epd.height), 255) HRYimage = Image.new('1', (epd.width, epd.height), 255) drawblack = ImageDraw.Draw(HBlackimage) drawry = ImageDraw.Draw(HRYimage) drawblack.text((10, 0), 'hello world', font = font24, fill = 0) drawblack.text((10, 20), '7.5inch e-Paper bc', font = font24, fill = 0) drawblack.text((150, 0), u'微雪电子', font = font24, fill = 0) drawblack.line((20, 50, 70, 100), fill = 0) drawblack.line((70, 50, 20, 100), fill = 0) drawblack.rectangle((20, 50, 70, 100), outline = 0) drawry.line((165, 50, 165, 100), fill = 0) drawry.line((140, 75, 190, 75), fill = 0) drawry.arc((140, 50, 190, 100), 0, 360, fill = 0) drawry.rectangle((80, 50, 130, 100), fill = 0) drawry.chord((200, 50, 250, 100), 0, 360, fill = 0) epd.display(epd.getbuffer(HBlackimage), epd.getbuffer(HRYimage)) time.sleep(2) logging.info("2.Drawing on the Vertical image...") LBlackimage = Image.new('1', (epd.height, epd.width), 255) LRYimage = Image.new('1', (epd.height, epd.width), 255) drawblack = ImageDraw.Draw(LBlackimage) drawry = ImageDraw.Draw(LRYimage) drawblack.text((2, 0), 'hello world', font = font18, fill = 0) drawblack.text((2, 20), '7.5inch epd bc', font = font18, fill = 0) drawblack.text((20, 50), u'微雪电子', font = font18, fill = 0) drawblack.line((10, 90, 60, 140), fill = 0) drawblack.line((60, 90, 10, 140), fill = 0) drawblack.rectangle((10, 90, 60, 140), outline = 0) drawry.line((95, 90, 95, 140), fill = 0) drawry.line((70, 115, 120, 115), fill = 0) drawry.arc((70, 90, 120, 140), 0, 360, fill = 0) drawry.rectangle((10, 150, 60, 200), fill = 0) drawry.chord((70, 150, 120, 200), 0, 360, fill = 0) epd.display(epd.getbuffer(LBlackimage), epd.getbuffer(LRYimage)) time.sleep(2) logging.info("3.read bmp file") HBlackimage = Image.open(os.path.join(picdir, '7in5b-b.bmp')) HRYimage = Image.open(os.path.join(picdir, '7in5b-r.bmp')) epd.display(epd.getbuffer(HBlackimage), epd.getbuffer(HRYimage)) time.sleep(2) logging.info("4.read bmp file on window") blackimage1 = Image.new('1', (epd.width, epd.height), 255) redimage1 = Image.new('1', (epd.width, epd.height), 255) newimage = Image.open(os.path.join(picdir, '100x100.bmp')) blackimage1.paste(newimage, (50,10)) epd.display(epd.getbuffer(blackimage1), epd.getbuffer(redimage1)) logging.info("Clear...") epd.init() epd.Clear() logging.info("Goto Sleep...") epd.sleep() time.sleep(3) epd.Dev_exit() except IOError as e: logging.info(e) except KeyboardInterrupt: logging.info("ctrl + c:") epd7in5bc.epdconfig.module_exit() exit()

true

f73d2e33146abf68afe3b33d48590d307b789078

972

py

Python

app/config.py

ryomahan/read-tracardi-api

d0a012fb097ca81daf046b314000301eb54bfad8

[ "MIT" ]

null

app/config.py

ryomahan/read-tracardi-api

d0a012fb097ca81daf046b314000301eb54bfad8

[ "MIT" ]

null

app/config.py

ryomahan/read-tracardi-api

d0a012fb097ca81daf046b314000301eb54bfad8

[ "MIT" ]

null

import os class ServerConfig: def __init__(self, env): self.update_plugins_on_start_up = env[ 'UPDATE_PLUGINS_ON_STARTUP'] if 'UPDATE_PLUGINS_ON_STARTUP' in env else True self.make_slower_responses = float( env['DEBUG_MAKE_SLOWER_RESPONSES']) if 'DEBUG_MAKE_SLOWER_RESPONSES' in env else 0 self.heartbeat_every = env['RUN_HEARTBEAT_EVERY'] if 'RUN_HEARTBEAT_EVERY' in env else 5 * 60 self.tasks_every = env['RUN_TASKS_EVERY'] if 'RUN_TASKS_EVERY' in env else 1 self.page_size = int(env['AUTOLOAD_PAGE_SIZE']) if 'AUTOLOAD_PAGE_SIZE' in env else 25 self.expose_gui_api = (env['EXPOSE_GUI_API'].lower() == "yes") if 'EXPOSE_GUI_API' in env else True self.reset_plugins = (env['RESET_PLUGINS'].lower() == "yes") if 'RESET_PLUGINS' in env else False self.x_forwarded_ip_header = env['USE_X_FORWARDED_IP'] if 'USE_X_FORWARDED_IP' in env else None server = ServerConfig(os.environ)

51.157895

107

0.709877

import os class ServerConfig: def __init__(self, env): self.update_plugins_on_start_up = env[ 'UPDATE_PLUGINS_ON_STARTUP'] if 'UPDATE_PLUGINS_ON_STARTUP' in env else True self.make_slower_responses = float( env['DEBUG_MAKE_SLOWER_RESPONSES']) if 'DEBUG_MAKE_SLOWER_RESPONSES' in env else 0 self.heartbeat_every = env['RUN_HEARTBEAT_EVERY'] if 'RUN_HEARTBEAT_EVERY' in env else 5 * 60 self.tasks_every = env['RUN_TASKS_EVERY'] if 'RUN_TASKS_EVERY' in env else 1 self.page_size = int(env['AUTOLOAD_PAGE_SIZE']) if 'AUTOLOAD_PAGE_SIZE' in env else 25 self.expose_gui_api = (env['EXPOSE_GUI_API'].lower() == "yes") if 'EXPOSE_GUI_API' in env else True self.reset_plugins = (env['RESET_PLUGINS'].lower() == "yes") if 'RESET_PLUGINS' in env else False self.x_forwarded_ip_header = env['USE_X_FORWARDED_IP'] if 'USE_X_FORWARDED_IP' in env else None server = ServerConfig(os.environ)

true

f73d2e58f295701cf73dc09621f6476763b761f2

8,240

py

Python

luna16/src/candidates.py

syagev/kaggle_dsb

4927f9dee59092f513cbdc02cfc5954c4fb5e7eb

[ "Apache-2.0" ]

9

2017-04-24T02:37:22.000Z

2022-03-04T11:10:09.000Z

luna16/src/candidates.py

syagev/kaggle_dsb

4927f9dee59092f513cbdc02cfc5954c4fb5e7eb

[ "Apache-2.0" ]

1

2019-03-30T18:16:30.000Z

luna16/src/candidates.py

syagev/kaggle_dsb

4927f9dee59092f513cbdc02cfc5954c4fb5e7eb

[ "Apache-2.0" ]

8

2017-05-28T11:15:41.000Z

2022-03-04T11:10:12.000Z

from __future__ import division import numpy as np from scipy.spatial.distance import pdist, squareform from scipy.sparse.csgraph import connected_components import pandas as pd from tqdm import tqdm import blob import pickle import glob import os import sys import scipy.misc from skimage.io import imread from skimage import morphology from scipy import ndimage import cv2 import pickle import matplotlib.pyplot as plt from scipy.ndimage.measurements import center_of_mass import subprocess # import ptvsd from image_read_write import load_itk_image CANDIDATES_COLUMNS = ['seriesuid','coordX','coordY','coordZ','label'] THRESHOLD = 225 def unet_candidates(): cands = glob.glob('%s/*.png' % sys.argv[1]) #"/razberry/workspace/dsb_nodule_detection.109fd54/*.png #df = pd.DataFrame(columns=['seriesuid','coordX','coordY','coordZ','class']) data = [] imname = "" origin = [] spacing = [] nrimages = 0 for name in tqdm(cands): #image = imread(name) image_t = imread(name) image_t = image_t.transpose() #Thresholding image_t[image_t<THRESHOLD] = 0 image_t[image_t>0] = 1 #erosion selem = morphology.disk(1) image_eroded = image_t image_eroded = morphology.binary_erosion(image_t,selem=selem) label_im, nb_labels = ndimage.label(image_eroded) imname3 = os.path.split(name)[1].replace('.png','') splitted = imname3.split("_") slice = splitted[1] imname2 = splitted[0][:-1] centers = [] for i in xrange(1,nb_labels+1): blob_i = np.where(label_im==i,1,0) mass = center_of_mass(blob_i) centers.append([mass[1],mass[0]]) if imname2 != imname: if os.path.isfile("../data/1_1_1mm_512_x_512_annotation_masks/spacings/{0}.pickle".format(imname2)): with open("../data/1_1_1mm_512_x_512_annotation_masks/spacings/{0}.pickle".format(imname2), 'rb') as handle: dic = pickle.load(handle) origin = dic["origin"] spacing = dic["spacing"] imname = imname2 nrimages +=1 for center in centers: # coords = voxel_2_world([int(slice),center[1]+(512-324)*0.5,center[0]+(512-324)*0.5],origin,spacing) coords = [int(slice),center[1],center[0]] data.append([imname2,coords[2],coords[1],coords[0],'?']) #if nrimages == 5: # break df = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) save_candidates('%s/candidates.csv' % work_dir, df) def candidates_to_image(cands,radius): image_names = [] for subset in xrange(0,10): subset_names = glob.glob("../data/subset{0}/*.mhd".format(subset)) names = [os.path.split(x)[1].replace('.mhd','') for x in subset_names] image_names.append(names) previous_candidate = "" images = [] image = [] origin = [] spacing = [] number = 0 for candidate in tqdm(cands.values): if candidate[0] != previous_candidate: number = 0 previous_candidate = candidate[0] for image_subset in xrange(0,10): if candidate[0] in image_names[image_subset]: image,origin,spacing = load_itk_image("../data/subset{0}/{1}.mhd".format(image_subset,candidate[0])) break coords = world_2_voxel([candidate[3],candidate[2],candidate[1]],origin,spacing) im = image_part_from_candidate(image,coords,radius) #images.append(im) if candidate[4]: label = "true" else: label = "false" scipy.misc.imsave('../data/samples/{0}_{1}_{2}.jpg'.format(candidate[0],number,label), im) number += 1 return images def image_part_from_candidate(image,coords,radius): im = np.zeros((radius*2,radius*2)) for x in xrange(-radius,radius): for y in xrange(-radius,radius): try: im[x+radius,y+radius]=image[coords[0],coords[1]+x,coords[2]+y] except: im[x+radius,y+radius]=-1000 return im #Merge candidates of a single scan def merge_candidates_scan(candidates, seriesuid, distance=5.): distances = pdist(candidates, metric='euclidean') adjacency_matrix = squareform(distances) # Determine nodes within distance, replace by 1 (=adjacency matrix) adjacency_matrix = np.where(adjacency_matrix<=distance,1,0) # Determine all connected components in the graph n, labels = connected_components(adjacency_matrix) new_candidates = np.zeros((n,3)) # Take the mean for these connected components for cluster_i in range(n): points = candidates[np.where(labels==cluster_i)] center = np.mean(points,axis=0) new_candidates[cluster_i,:] = center x = new_candidates[:,0] y = new_candidates[:,1] z = new_candidates[:,2] labels = [seriesuid]*len(x) class_name = [0]*len(x) data= zip(labels,x,y,z,class_name) new_candidates = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) return new_candidates def merge_candidates(df_candidates, distance=5.): new_candidates = pd.DataFrame() for scan_name in tqdm(df_candidates['seriesuid'].unique()): #print "Merging scan", scan_name df = df_candidates[df_candidates['seriesuid']==scan_name] x = df['coordX'] y = df['coordY'] z = df['coordZ'] shape = (len(x),3) candidates = np.zeros(shape) candidates[:,0]=x candidates[:,1]=y candidates[:,2]=z new = merge_candidates_scan(candidates,seriesuid=scan_name,distance=distance) new_candidates = new_candidates.append(new) #print new_candidates return new_candidates def world_2_voxel(worldCoord, origin, spacing): stretchedVoxelCoord = np.absolute(worldCoord - origin) voxelCoord = stretchedVoxelCoord / spacing return voxelCoord def voxel_2_world(voxelCoord, origin, spacing): stretchedVoxelCoord = voxelCoord * spacing worldCoord = stretchedVoxelCoord + origin return worldCoord def load_candidates(filename, as_coords=False): candidates = pd.read_csv(filename) return candidates # Save candidates given filename and pandas dataframe # Dataframe with columns: # seriesuid, coordX, coordY, coordZ, class # class seems to be 0 always def save_candidates(filename, df_candidates): df_candidates.to_csv(filename, index=False) def coords_to_candidates(coords, seriesuid): x = coords[:,0] y = coords[:,1] z = coords[:,2] names = [seriesuid]*len(x) class_name = [0]*len(x) data = zip(names,x,y,z,class_name) candidates = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) return candidates if __name__ == "__main__": # ptvsd.enable_attach(None, address = ('0.0.0.0', 3001)) # ptvsd.wait_for_attach() work_dir = sys.argv[2] if not os.path.exists(work_dir): os.makedirs(work_dir) unet_candidates() # quit() df = load_candidates('%s/candidates.csv' % work_dir) # images = candidates_to_image(df,15) new_candidates = merge_candidates(df) save_candidates('%s/candidates_merged.csv' % work_dir, new_candidates) # #coords = blob.blob_image('../data/hoi.mhd') # #with open('../data/hoi_coords.pkl','w') as f: # # pickle.dump(coords, f) # with open('../data/hoi_coords.pkl','r') as f: # candidates = pickle.load(f) # coords = [] # #coords = [y for y in [x for x in candidates]] # #slice, blob, xyz # for slice in candidates: # #print slice # for blob in slice: # coords.append(blob) # #print coords # image, origin, spacing = load_itk_image('../data/hoi.mhd') # world_coords = np.array([voxel_2_world(y,origin,spacing) for y in coords]) # #print world_coords # candidates = coords_to_candidates(world_coords, '1.3.6.1.4.1.14519.5.2.1.6279.6001.105756658031515062000744821260') # print len(candidates) # candidates = merge_candidates(candidates) # print len(candidates) # save_candidates('../data/hoi_candidates.csv', candidates)

31.450382

124

0.641383

from __future__ import division import numpy as np from scipy.spatial.distance import pdist, squareform from scipy.sparse.csgraph import connected_components import pandas as pd from tqdm import tqdm import blob import pickle import glob import os import sys import scipy.misc from skimage.io import imread from skimage import morphology from scipy import ndimage import cv2 import pickle import matplotlib.pyplot as plt from scipy.ndimage.measurements import center_of_mass import subprocess from image_read_write import load_itk_image CANDIDATES_COLUMNS = ['seriesuid','coordX','coordY','coordZ','label'] THRESHOLD = 225 def unet_candidates(): cands = glob.glob('%s/*.png' % sys.argv[1]) #df = pd.DataFrame(columns=['seriesuid','coordX','coordY','coordZ','class']) data = [] imname = "" origin = [] spacing = [] nrimages = 0 for name in tqdm(cands): #image = imread(name) image_t = imread(name) image_t = image_t.transpose() #Thresholding image_t[image_t<THRESHOLD] = 0 image_t[image_t>0] = 1 #erosion selem = morphology.disk(1) image_eroded = image_t image_eroded = morphology.binary_erosion(image_t,selem=selem) label_im, nb_labels = ndimage.label(image_eroded) imname3 = os.path.split(name)[1].replace('.png','') splitted = imname3.split("_") slice = splitted[1] imname2 = splitted[0][:-1] centers = [] for i in xrange(1,nb_labels+1): blob_i = np.where(label_im==i,1,0) mass = center_of_mass(blob_i) centers.append([mass[1],mass[0]]) if imname2 != imname: if os.path.isfile("../data/1_1_1mm_512_x_512_annotation_masks/spacings/{0}.pickle".format(imname2)): with open("../data/1_1_1mm_512_x_512_annotation_masks/spacings/{0}.pickle".format(imname2), 'rb') as handle: dic = pickle.load(handle) origin = dic["origin"] spacing = dic["spacing"] imname = imname2 nrimages +=1 for center in centers: # coords = voxel_2_world([int(slice),center[1]+(512-324)*0.5,center[0]+(512-324)*0.5],origin,spacing) coords = [int(slice),center[1],center[0]] data.append([imname2,coords[2],coords[1],coords[0],'?']) #if nrimages == 5: # break df = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) save_candidates('%s/candidates.csv' % work_dir, df) def candidates_to_image(cands,radius): image_names = [] for subset in xrange(0,10): subset_names = glob.glob("../data/subset{0}/*.mhd".format(subset)) names = [os.path.split(x)[1].replace('.mhd','') for x in subset_names] image_names.append(names) previous_candidate = "" images = [] image = [] origin = [] spacing = [] number = 0 for candidate in tqdm(cands.values): if candidate[0] != previous_candidate: number = 0 previous_candidate = candidate[0] for image_subset in xrange(0,10): if candidate[0] in image_names[image_subset]: image,origin,spacing = load_itk_image("../data/subset{0}/{1}.mhd".format(image_subset,candidate[0])) break coords = world_2_voxel([candidate[3],candidate[2],candidate[1]],origin,spacing) im = image_part_from_candidate(image,coords,radius) #images.append(im) if candidate[4]: label = "true" else: label = "false" scipy.misc.imsave('../data/samples/{0}_{1}_{2}.jpg'.format(candidate[0],number,label), im) number += 1 return images def image_part_from_candidate(image,coords,radius): im = np.zeros((radius*2,radius*2)) for x in xrange(-radius,radius): for y in xrange(-radius,radius): try: im[x+radius,y+radius]=image[coords[0],coords[1]+x,coords[2]+y] except: im[x+radius,y+radius]=-1000 return im #Merge candidates of a single scan def merge_candidates_scan(candidates, seriesuid, distance=5.): distances = pdist(candidates, metric='euclidean') adjacency_matrix = squareform(distances) # Determine nodes within distance, replace by 1 (=adjacency matrix) adjacency_matrix = np.where(adjacency_matrix<=distance,1,0) # Determine all connected components in the graph n, labels = connected_components(adjacency_matrix) new_candidates = np.zeros((n,3)) # Take the mean for these connected components for cluster_i in range(n): points = candidates[np.where(labels==cluster_i)] center = np.mean(points,axis=0) new_candidates[cluster_i,:] = center x = new_candidates[:,0] y = new_candidates[:,1] z = new_candidates[:,2] labels = [seriesuid]*len(x) class_name = [0]*len(x) data= zip(labels,x,y,z,class_name) new_candidates = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) return new_candidates def merge_candidates(df_candidates, distance=5.): new_candidates = pd.DataFrame() for scan_name in tqdm(df_candidates['seriesuid'].unique()): #print "Merging scan", scan_name df = df_candidates[df_candidates['seriesuid']==scan_name] x = df['coordX'] y = df['coordY'] z = df['coordZ'] shape = (len(x),3) candidates = np.zeros(shape) candidates[:,0]=x candidates[:,1]=y candidates[:,2]=z new = merge_candidates_scan(candidates,seriesuid=scan_name,distance=distance) new_candidates = new_candidates.append(new) #print new_candidates return new_candidates def world_2_voxel(worldCoord, origin, spacing): stretchedVoxelCoord = np.absolute(worldCoord - origin) voxelCoord = stretchedVoxelCoord / spacing return voxelCoord def voxel_2_world(voxelCoord, origin, spacing): stretchedVoxelCoord = voxelCoord * spacing worldCoord = stretchedVoxelCoord + origin return worldCoord def load_candidates(filename, as_coords=False): candidates = pd.read_csv(filename) return candidates # Save candidates given filename and pandas dataframe # Dataframe with columns: # seriesuid, coordX, coordY, coordZ, class # class seems to be 0 always def save_candidates(filename, df_candidates): df_candidates.to_csv(filename, index=False) def coords_to_candidates(coords, seriesuid): x = coords[:,0] y = coords[:,1] z = coords[:,2] names = [seriesuid]*len(x) class_name = [0]*len(x) data = zip(names,x,y,z,class_name) candidates = pd.DataFrame(data,columns=CANDIDATES_COLUMNS) return candidates if __name__ == "__main__": # ptvsd.enable_attach(None, address = ('0.0.0.0', 3001)) # ptvsd.wait_for_attach() work_dir = sys.argv[2] if not os.path.exists(work_dir): os.makedirs(work_dir) unet_candidates() # quit() df = load_candidates('%s/candidates.csv' % work_dir) # images = candidates_to_image(df,15) new_candidates = merge_candidates(df) save_candidates('%s/candidates_merged.csv' % work_dir, new_candidates) # #coords = blob.blob_image('../data/hoi.mhd') # #with open('../data/hoi_coords.pkl','w') as f: # # pickle.dump(coords, f) # with open('../data/hoi_coords.pkl','r') as f: # candidates = pickle.load(f) # coords = [] # #coords = [y for y in [x for x in candidates]] # #slice, blob, xyz # for slice in candidates: # #print slice # for blob in slice: # coords.append(blob) # #print coords # image, origin, spacing = load_itk_image('../data/hoi.mhd') # world_coords = np.array([voxel_2_world(y,origin,spacing) for y in coords]) # #print world_coords # candidates = coords_to_candidates(world_coords, '1.3.6.1.4.1.14519.5.2.1.6279.6001.105756658031515062000744821260') # print len(candidates) # candidates = merge_candidates(candidates) # print len(candidates) # save_candidates('../data/hoi_candidates.csv', candidates)

true

f73d2f3b56ee16c0c4343aebabe529cb0d21a8aa

2,328

py

Python

code/ARAX/NodeSynonymizer/dump_kg2_equivalencies.py

finnagin/RTX

698fab0d5ac507e92b5190878922f9fa5b72d9a7

[ "MIT" ]

null

code/ARAX/NodeSynonymizer/dump_kg2_equivalencies.py

finnagin/RTX

698fab0d5ac507e92b5190878922f9fa5b72d9a7

[ "MIT" ]

null

code/ARAX/NodeSynonymizer/dump_kg2_equivalencies.py

finnagin/RTX

698fab0d5ac507e92b5190878922f9fa5b72d9a7

[ "MIT" ]

null

#!/bin/env python3 """ This script creates a TSV of node pairs linked by an 'equivalent_to'/'same_as' relationship in KG2. The TSV file is created in the same directory the script is run from. Example of rows in the output file: UMLS:C0027358 UMLS:C0014563 UMLS:C0878440 UMLS:C0014563 Usage: python dump_kg2_equivalencies.py """ import csv import os import sys import traceback from typing import List, Dict from neo4j import GraphDatabase sys.path.append(os.path.dirname(os.path.abspath(__file__))+"/../../") # code directory from RTXConfiguration import RTXConfiguration def _run_cypher_query(cypher_query: str, kg="KG2") -> List[Dict[str, any]]: # This function sends a cypher query to neo4j (either KG1 or KG2) and returns results rtxc = RTXConfiguration() if kg == "KG2": rtxc.live = "KG2" try: driver = GraphDatabase.driver(rtxc.neo4j_bolt, auth=(rtxc.neo4j_username, rtxc.neo4j_password)) with driver.session() as session: print(f"Sending cypher query to {kg} neo4j") query_results = session.run(cypher_query).data() print(f"Got {len(query_results)} results back from neo4j") driver.close() except Exception: tb = traceback.format_exc() error_type, error, _ = sys.exc_info() print(f"Encountered an error interacting with {kg} neo4j. {tb}") return [] else: return query_results def dump_kg2_equivalencies(): # This function creates a TSV file of node pairs linked by an 'equivalent_to' or 'same_as' relationship in KG2 cypher_query = f"match (n1)-[:equivalent_to|:same_as]->(n2) return distinct n1.id, n2.id" equivalent_node_pairs = _run_cypher_query(cypher_query) if equivalent_node_pairs: column_headers = equivalent_node_pairs[0].keys() file_name = "kg2_equivalencies.tsv" with open(file_name, "w+") as output_file: dict_writer = csv.DictWriter(output_file, column_headers, delimiter='\t') dict_writer.writeheader() dict_writer.writerows(equivalent_node_pairs) print(f"Successfully created file '{file_name}' containing results") else: print(f"Sorry, couldn't get equivalency data. No file created.") def main(): dump_kg2_equivalencies() if __name__ == "__main__": main()

36.375

115

0.695017

import csv import os import sys import traceback from typing import List, Dict from neo4j import GraphDatabase sys.path.append(os.path.dirname(os.path.abspath(__file__))+"/../../") from RTXConfiguration import RTXConfiguration def _run_cypher_query(cypher_query: str, kg="KG2") -> List[Dict[str, any]]: rtxc = RTXConfiguration() if kg == "KG2": rtxc.live = "KG2" try: driver = GraphDatabase.driver(rtxc.neo4j_bolt, auth=(rtxc.neo4j_username, rtxc.neo4j_password)) with driver.session() as session: print(f"Sending cypher query to {kg} neo4j") query_results = session.run(cypher_query).data() print(f"Got {len(query_results)} results back from neo4j") driver.close() except Exception: tb = traceback.format_exc() error_type, error, _ = sys.exc_info() print(f"Encountered an error interacting with {kg} neo4j. {tb}") return [] else: return query_results def dump_kg2_equivalencies(): cypher_query = f"match (n1)-[:equivalent_to|:same_as]->(n2) return distinct n1.id, n2.id" equivalent_node_pairs = _run_cypher_query(cypher_query) if equivalent_node_pairs: column_headers = equivalent_node_pairs[0].keys() file_name = "kg2_equivalencies.tsv" with open(file_name, "w+") as output_file: dict_writer = csv.DictWriter(output_file, column_headers, delimiter='\t') dict_writer.writeheader() dict_writer.writerows(equivalent_node_pairs) print(f"Successfully created file '{file_name}' containing results") else: print(f"Sorry, couldn't get equivalency data. No file created.") def main(): dump_kg2_equivalencies() if __name__ == "__main__": main()

true

f73d3014ce3deda6465ef36663afe41548aa8143

1,822

py

Python

tests/test_diffeq/test_odefilter/test_odefilter_cases.py

fxbriol/probnum

7e0e94cf9146aaa2b730b02c6d75a022cd629b5c

[ "MIT" ]

null

tests/test_diffeq/test_odefilter/test_odefilter_cases.py

fxbriol/probnum

7e0e94cf9146aaa2b730b02c6d75a022cd629b5c

[ "MIT" ]

null

tests/test_diffeq/test_odefilter/test_odefilter_cases.py

fxbriol/probnum

7e0e94cf9146aaa2b730b02c6d75a022cd629b5c

[ "MIT" ]

null

"""Test-cases for ODE filters.""" import pytest_cases from probnum import diffeq, randprocs import probnum.problems.zoo.diffeq as diffeq_zoo # logistic.rhs is implemented backend-agnostic, # thus it works for both numpy and jax @pytest_cases.case(tags=("numpy", "jax")) def problem_logistic(): return diffeq_zoo.logistic() def steprule_constant(): return diffeq.stepsize.ConstantSteps(0.5) def steprule_adaptive(): return diffeq.stepsize.AdaptiveSteps(firststep=0.5, atol=0.2, rtol=0.2) def diffusion_constant(): return randprocs.markov.continuous.ConstantDiffusion() def diffusion_piecewise_constant(): return randprocs.markov.continuous.PiecewiseConstantDiffusion(t0=0.0) @pytest_cases.case(tags=("numpy",)) def init_non_prob_fit(): return diffeq.odefilter.init_routines.NonProbabilisticFit() @pytest_cases.case(tags=("numpy",)) def init_non_prob_fit_with_jacobian(): return diffeq.odefilter.init_routines.NonProbabilisticFitWithJacobian() @pytest_cases.case(tags=("numpy",)) def init_stack(): return diffeq.odefilter.init_routines.Stack() @pytest_cases.case(tags=("numpy",)) def init_stack_with_jacobian(): return diffeq.odefilter.init_routines.StackWithJacobian() @pytest_cases.case(tags=("jax",)) def init_forward(): return diffeq.odefilter.init_routines.ForwardMode() @pytest_cases.case(tags=("jax",)) def init_forward_jvp(): return diffeq.odefilter.init_routines.ForwardModeJVP() @pytest_cases.case(tags=("jax",)) def init_reverse(): return diffeq.odefilter.init_routines.ReverseMode() @pytest_cases.case(tags=("jax",)) def init_taylor(): return diffeq.odefilter.init_routines.TaylorMode() def approx_ek0(): return diffeq.odefilter.approx_strategies.EK0() def approx_ek1(): return diffeq.odefilter.approx_strategies.EK1()

23.063291

75

0.763996

import pytest_cases from probnum import diffeq, randprocs import probnum.problems.zoo.diffeq as diffeq_zoo @pytest_cases.case(tags=("numpy", "jax")) def problem_logistic(): return diffeq_zoo.logistic() def steprule_constant(): return diffeq.stepsize.ConstantSteps(0.5) def steprule_adaptive(): return diffeq.stepsize.AdaptiveSteps(firststep=0.5, atol=0.2, rtol=0.2) def diffusion_constant(): return randprocs.markov.continuous.ConstantDiffusion() def diffusion_piecewise_constant(): return randprocs.markov.continuous.PiecewiseConstantDiffusion(t0=0.0) @pytest_cases.case(tags=("numpy",)) def init_non_prob_fit(): return diffeq.odefilter.init_routines.NonProbabilisticFit() @pytest_cases.case(tags=("numpy",)) def init_non_prob_fit_with_jacobian(): return diffeq.odefilter.init_routines.NonProbabilisticFitWithJacobian() @pytest_cases.case(tags=("numpy",)) def init_stack(): return diffeq.odefilter.init_routines.Stack() @pytest_cases.case(tags=("numpy",)) def init_stack_with_jacobian(): return diffeq.odefilter.init_routines.StackWithJacobian() @pytest_cases.case(tags=("jax",)) def init_forward(): return diffeq.odefilter.init_routines.ForwardMode() @pytest_cases.case(tags=("jax",)) def init_forward_jvp(): return diffeq.odefilter.init_routines.ForwardModeJVP() @pytest_cases.case(tags=("jax",)) def init_reverse(): return diffeq.odefilter.init_routines.ReverseMode() @pytest_cases.case(tags=("jax",)) def init_taylor(): return diffeq.odefilter.init_routines.TaylorMode() def approx_ek0(): return diffeq.odefilter.approx_strategies.EK0() def approx_ek1(): return diffeq.odefilter.approx_strategies.EK1()

true

f73d305b487bdcf6bdafdf47ab2a0f5839a18a9e

91

py

Python

pardakht/apps.py

riozo-h/django-pardakht

8ec4455440926d05dd971ef571f11c1ef974fe4f

[ "MIT" ]

10

2018-04-03T07:37:52.000Z

2019-07-19T21:22:16.000Z

pardakht/apps.py

riozo-h/django-pardakht

8ec4455440926d05dd971ef571f11c1ef974fe4f

[ "MIT" ]

4

2018-05-26T08:28:41.000Z

2019-10-26T01:30:00.000Z

pardakht/apps.py

riozo-h/django-pardakht

8ec4455440926d05dd971ef571f11c1ef974fe4f

[ "MIT" ]

7

2018-04-24T03:14:58.000Z

2019-12-15T19:12:16.000Z

from django.apps import AppConfig class PardakhtConfig(AppConfig): name = 'pardakht'

15.166667

33

0.758242

from django.apps import AppConfig class PardakhtConfig(AppConfig): name = 'pardakht'

true

f73d311168e8bb8d2be3cc630c2a8d9ae4b33f82

3,875

py

Python

troposphere/licensemanager.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

troposphere/licensemanager.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

troposphere/licensemanager.py

filipepmo/troposphere

b1590f58ed8cc86ba18a19ed93fc9380d6f7306b

[ "BSD-2-Clause" ]

null

# Copyright (c) 2012-2022, Mark Peek <mark@peek.org> # All rights reserved. # # See LICENSE file for full license. # # *** Do not modify - this file is autogenerated *** # Resource specification version: 51.0.0 from . import AWSObject, AWSProperty, PropsDictType from .validators import boolean, integer class Grant(AWSObject): """ `Grant <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-licensemanager-grant.html>`__ """ resource_type = "AWS::LicenseManager::Grant" props: PropsDictType = { "AllowedOperations": ([str], False), "GrantName": (str, False), "HomeRegion": (str, False), "LicenseArn": (str, False), "Principals": ([str], False), "Status": (str, False), } class BorrowConfiguration(AWSProperty): """ `BorrowConfiguration <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-borrowconfiguration.html>`__ """ props: PropsDictType = { "AllowEarlyCheckIn": (boolean, True), "MaxTimeToLiveInMinutes": (integer, True), } class ProvisionalConfiguration(AWSProperty): """ `ProvisionalConfiguration <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-provisionalconfiguration.html>`__ """ props: PropsDictType = { "MaxTimeToLiveInMinutes": (integer, True), } class ConsumptionConfiguration(AWSProperty): """ `ConsumptionConfiguration <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-consumptionconfiguration.html>`__ """ props: PropsDictType = { "BorrowConfiguration": (BorrowConfiguration, False), "ProvisionalConfiguration": (ProvisionalConfiguration, False), "RenewType": (str, False), } class Entitlement(AWSProperty): """ `Entitlement <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-entitlement.html>`__ """ props: PropsDictType = { "AllowCheckIn": (boolean, False), "MaxCount": (integer, False), "Name": (str, True), "Overage": (boolean, False), "Unit": (str, True), "Value": (str, False), } class IssuerData(AWSProperty): """ `IssuerData <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-issuerdata.html>`__ """ props: PropsDictType = { "Name": (str, True), "SignKey": (str, False), } class Metadata(AWSProperty): """ `Metadata <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-metadata.html>`__ """ props: PropsDictType = { "Name": (str, True), "Value": (str, True), } class ValidityDateFormat(AWSProperty): """ `ValidityDateFormat <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-licensemanager-license-validitydateformat.html>`__ """ props: PropsDictType = { "Begin": (str, True), "End": (str, True), } class License(AWSObject): """ `License <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-licensemanager-license.html>`__ """ resource_type = "AWS::LicenseManager::License" props: PropsDictType = { "Beneficiary": (str, False), "ConsumptionConfiguration": (ConsumptionConfiguration, True), "Entitlements": ([Entitlement], True), "HomeRegion": (str, True), "Issuer": (IssuerData, True), "LicenseMetadata": ([Metadata], False), "LicenseName": (str, True), "ProductName": (str, True), "ProductSKU": (str, False), "Status": (str, False), "Validity": (ValidityDateFormat, True), }

29.356061

164

0.653935

from . import AWSObject, AWSProperty, PropsDictType from .validators import boolean, integer class Grant(AWSObject): resource_type = "AWS::LicenseManager::Grant" props: PropsDictType = { "AllowedOperations": ([str], False), "GrantName": (str, False), "HomeRegion": (str, False), "LicenseArn": (str, False), "Principals": ([str], False), "Status": (str, False), } class BorrowConfiguration(AWSProperty): props: PropsDictType = { "AllowEarlyCheckIn": (boolean, True), "MaxTimeToLiveInMinutes": (integer, True), } class ProvisionalConfiguration(AWSProperty): props: PropsDictType = { "MaxTimeToLiveInMinutes": (integer, True), } class ConsumptionConfiguration(AWSProperty): props: PropsDictType = { "BorrowConfiguration": (BorrowConfiguration, False), "ProvisionalConfiguration": (ProvisionalConfiguration, False), "RenewType": (str, False), } class Entitlement(AWSProperty): props: PropsDictType = { "AllowCheckIn": (boolean, False), "MaxCount": (integer, False), "Name": (str, True), "Overage": (boolean, False), "Unit": (str, True), "Value": (str, False), } class IssuerData(AWSProperty): props: PropsDictType = { "Name": (str, True), "SignKey": (str, False), } class Metadata(AWSProperty): props: PropsDictType = { "Name": (str, True), "Value": (str, True), } class ValidityDateFormat(AWSProperty): props: PropsDictType = { "Begin": (str, True), "End": (str, True), } class License(AWSObject): resource_type = "AWS::LicenseManager::License" props: PropsDictType = { "Beneficiary": (str, False), "ConsumptionConfiguration": (ConsumptionConfiguration, True), "Entitlements": ([Entitlement], True), "HomeRegion": (str, True), "Issuer": (IssuerData, True), "LicenseMetadata": ([Metadata], False), "LicenseName": (str, True), "ProductName": (str, True), "ProductSKU": (str, False), "Status": (str, False), "Validity": (ValidityDateFormat, True), }

true

f73d31b6906aad78335358a191cb79d885c8c887

27,081

py

Python

pieces/protocol.py

SteBry/TDDE35-Building-a-BitTorrent-streaming-client

35ad1707adcec9c7ef9df6900c3434380566828a

[ "Apache-2.0" ]

1

2019-04-11T08:59:29.000Z

pieces/protocol.py

SteBry/TDDE35-Building-a-BitTorrent-streaming-client

35ad1707adcec9c7ef9df6900c3434380566828a

[ "Apache-2.0" ]

null

pieces/protocol.py

SteBry/TDDE35-Building-a-BitTorrent-streaming-client

35ad1707adcec9c7ef9df6900c3434380566828a

[ "Apache-2.0" ]

null

# # pieces - An experimental BitTorrent client # # Copyright 2016 markus.eliasson@gmail.com # # 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 License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import asyncio import logging import struct from asyncio import Queue from concurrent.futures import CancelledError import datetime import bitstring # The default request size for blocks of pieces is 2^14 bytes. # # NOTE: The official specification states that 2^15 is the default request # size - but in reality all implementations use 2^14. See the # unofficial specification for more details on this matter. # # https://wiki.theory.org/BitTorrentSpecification # REQUEST_SIZE = 2**14 HANDSHAKE_TIMEOUT = 4 class ProtocolError(BaseException): pass class PeerConnection: """ A peer connection used to download and upload pieces. The peer connection will consume one available peer from the given queue. Based on the peer details the PeerConnection will try to open a connection and perform a BitTorrent handshake. After a successful handshake, the PeerConnection will be in a *choked* state, not allowed to request any data from the remote peer. After sending an interested message the PeerConnection will be waiting to get *unchoked*. Once the remote peer unchoked us, we can start requesting pieces. The PeerConnection will continue to request pieces for as long as there are pieces left to request, or until the remote peer disconnects. If the connection with a remote peer drops, the PeerConnection will consume the next available peer from off the queue and try to connect to that one instead. """ def __init__(self, queue: Queue, info_hash, peer_id, piece_manager, on_block_cb=None): """ Constructs a PeerConnection and add it to the asyncio event-loop. Use `stop` to abort this connection and any subsequent connection attempts :param queue: The async Queue containing available peers :param info_hash: The SHA1 hash for the meta-data's info :param peer_id: Our peer ID used to to identify ourselves :param piece_manager: The manager responsible to determine which pieces to request :param on_block_cb: The callback function to call when a block is received from the remote peer """ self.my_state = [] self.peer_state = [] self.queue = queue self.info_hash = info_hash self.peer_id = peer_id self.remote_id = None self.writer = None self.reader = None self.piece_manager = piece_manager self.on_block_cb = on_block_cb self.future = asyncio.ensure_future(self._start()) # Start this worker async def _start(self): while 'stopped' not in self.my_state: ip, port = await self.queue.get() logging.info('Got assigned peer with: {ip}'.format(ip=ip)) try: # TODO For some reason it does not seem to work to open a new # connection if the first one drops (i.e. second loop). self.reader, self.writer = await asyncio.open_connection( ip, port) logging.info('Connection open to peer: {ip}'.format(ip=ip)) # It's our responsibility to initiate the handshake. buffer = await self._handshake() # TODO Add support for sending data # Sending BitField is optional and not needed when client does # not have any pieces. Thus we do not send any bitfield message # The default state for a connection is that peer is not # interested and we are choked self.my_state.append('choked') # Let the peer know we're interested in downloading pieces await self._send_interested() self.my_state.append('interested') # Start reading responses as a stream of messages for as # long as the connection is open and data is transmitted async for message in PeerStreamIterator(self.reader, buffer): if 'stopped' in self.my_state: break if type(message) is BitField: self.piece_manager.add_peer(self.remote_id, message.bitfield) elif type(message) is Interested: self.peer_state.append('interested') elif type(message) is NotInterested: if 'interested' in self.peer_state: self.peer_state.remove('interested') elif type(message) is Choke: self.my_state.append('choked') """ written/modified by Stefan Brynielsson, May 2019 """ if "pending_request" in self.my_state: self.my_state.remove('pending_request') elif type(message) is Unchoke: if 'choked' in self.my_state: self.my_state.remove('choked') """ written/modified by Stefan Brynielsson, May 2019 """ if "pending_request" in self.my_state: self.my_state.remove('pending_request') elif type(message) is Have: self.piece_manager.update_peer(self.remote_id, message.index) elif type(message) is KeepAlive: """ Written/modified by Stefan Brynielsson, May 2019 """ break elif type(message) is Piece: self.my_state.remove('pending_request') self.on_block_cb( peer_id=self.remote_id, piece_index=message.index, block_offset=message.begin, data=message.block) elif type(message) is Request: # TODO Add support for sending data logging.info('Ignoring the received Request message.') elif type(message) is Cancel: # TODO Add support for sending data logging.info('Ignoring the received Cancel message.') # Send block request to remote peer if we're interested if 'choked' not in self.my_state: if 'interested' in self.my_state: if 'pending_request' not in self.my_state: self.my_state.append('pending_request') await self._request_piece() except ProtocolError as e: logging.exception('Protocol error') except (ConnectionRefusedError, TimeoutError): logging.warning('Unable to connect to peer') except (ConnectionResetError, CancelledError): logging.warning('Connection closed') except Exception as e: logging.exception('An error occurred') self.cancel() raise e self.cancel() def cancel(self): """ Sends the cancel message to the remote peer and closes the connection. """ logging.info('Closing peer {id}'.format(id=self.remote_id)) if not self.future.done(): self.future.cancel() if self.writer: self.writer.close() self.queue.task_done() def stop(self): """ Stop this connection from the current peer (if a connection exist) and from connecting to any new peer. """ # Set state to stopped and cancel our future to break out of the loop. # The rest of the cleanup will eventually be managed by loop calling # `cancel`. self.my_state.append('stopped') if not self.future.done(): self.future.cancel() async def _request_piece(self): block = self.piece_manager.next_request(self.remote_id) if block: message = Request(block.piece, block.offset, block.length).encode() logging.debug('Requesting block {block} for piece {piece} ' 'of {length} bytes from peer {peer}'.format( piece=block.piece, block=block.offset, length=block.length, peer=self.remote_id)) self.writer.write(message) await self.writer.drain() async def _handshake(self): """ Send the initial handshake to the remote peer and wait for the peer to respond with its handshake. """ self.writer.write(Handshake(self.info_hash, self.peer_id).encode()) """ Written/modified by Stefan Brynielsson, May 2019 """ time = datetime.datetime.now() await self.writer.drain() buf = b'' while len(buf) < Handshake.length: buf = await self.reader.read(PeerStreamIterator.CHUNK_SIZE) """ Written/modified by Stefan Brynielsson, May 2019 """ # End the handshake if it takes longer than HANDSHAKE_TIMEOUT seconds if (datetime.datetime.now() - time).total_seconds() > HANDSHAKE_TIMEOUT and len(buf) < Handshake.length: raise TimeoutError('NO handshake response') response = Handshake.decode(buf[:Handshake.length]) if not response: raise ProtocolError('Unable receive and parse a handshake') if not response.info_hash == self.info_hash: raise ProtocolError('Handshake with invalid info_hash') # TODO: According to spec we should validate that the peer_id received # from the peer match the peer_id received from the tracker. self.remote_id = response.peer_id logging.info('Handshake with peer was successful') # We need to return the remaining buffer data, since we might have # read more bytes then the size of the handshake message and we need # those bytes to parse the next message. return buf[Handshake.length:] async def _send_interested(self): message = Interested() logging.debug('Sending message: {type}'.format(type=message)) self.writer.write(message.encode()) await self.writer.drain() class PeerStreamIterator: """ The `PeerStreamIterator` is an async iterator that continuously reads from the given stream reader and tries to parse valid BitTorrent messages from off that stream of bytes. If the connection is dropped, something fails the iterator will abort by raising the `StopAsyncIteration` error ending the calling iteration. """ CHUNK_SIZE = 10*1024 def __init__(self, reader, initial: bytes = None): self.reader = reader self.buffer = initial if initial else b'' async def __aiter__(self): return self async def __anext__(self): # Read data from the socket. When we have enough data to parse, parse # it and return the message. Until then keep reading from stream while True: try: data = await self.reader.read(PeerStreamIterator.CHUNK_SIZE) if data: self.buffer += data message = self.parse() if message: return message else: logging.debug('No data read from stream') if self.buffer: message = self.parse() if message: return message raise StopAsyncIteration() except ConnectionResetError: logging.debug('Connection closed by peer') raise StopAsyncIteration() except CancelledError: raise StopAsyncIteration() except StopAsyncIteration as e: # Cath to stop logging raise e except Exception: logging.exception('Error when iterating over stream!') raise StopAsyncIteration() raise StopAsyncIteration() def parse(self): """ Tries to parse protocol messages if there is enough bytes read in the buffer. :return The parsed message, or None if no message could be parsed """ # Each message is structured as: # <length prefix><message ID><payload> # # The `length prefix` is a four byte big-endian value # The `message ID` is a decimal byte # The `payload` is the value of `length prefix` # # The message length is not part of the actual length. So another # 4 bytes needs to be included when slicing the buffer. header_length = 4 if len(self.buffer) > 4: # 4 bytes is needed to identify the message message_length = struct.unpack('>I', self.buffer[0:4])[0] if message_length == 0: return KeepAlive() if len(self.buffer) >= message_length: message_id = struct.unpack('>b', self.buffer[4:5])[0] def _consume(): """Consume the current message from the read buffer""" self.buffer = self.buffer[header_length + message_length:] def _data(): """"Extract the current message from the read buffer""" return self.buffer[:header_length + message_length] if message_id is PeerMessage.BitField: data = _data() _consume() return BitField.decode(data) elif message_id is PeerMessage.Interested: _consume() return Interested() elif message_id is PeerMessage.NotInterested: _consume() return NotInterested() elif message_id is PeerMessage.Choke: _consume() return Choke() elif message_id is PeerMessage.Unchoke: _consume() return Unchoke() elif message_id is PeerMessage.Have: data = _data() _consume() return Have.decode(data) elif message_id is PeerMessage.Piece: data = _data() _consume() return Piece.decode(data) elif message_id is PeerMessage.Request: data = _data() _consume() return Request.decode(data) elif message_id is PeerMessage.Cancel: data = _data() _consume() return Cancel.decode(data) else: logging.info('Unsupported message!') else: logging.debug('Not enough in buffer in order to parse') return None class PeerMessage: """ A message between two peers. All of the remaining messages in the protocol take the form of: <length prefix><message ID><payload> - The length prefix is a four byte big-endian value. - The message ID is a single decimal byte. - The payload is message dependent. NOTE: The Handshake messageis different in layout compared to the other messages. Read more: https://wiki.theory.org/BitTorrentSpecification#Messages BitTorrent uses Big-Endian (Network Byte Order) for all messages, this is declared as the first character being '>' in all pack / unpack calls to the Python's `struct` module. """ Choke = 0 Unchoke = 1 Interested = 2 NotInterested = 3 Have = 4 BitField = 5 Request = 6 Piece = 7 Cancel = 8 Port = 9 Handshake = None # Handshake is not really part of the messages KeepAlive = None # Keep-alive has no ID according to spec def encode(self) -> bytes: """ Encodes this object instance to the raw bytes representing the entire message (ready to be transmitted). """ pass @classmethod def decode(cls, data: bytes): """ Decodes the given BitTorrent message into a instance for the implementing type. """ pass class Handshake(PeerMessage): """ The handshake message is the first message sent and then received from a remote peer. The messages is always 68 bytes long (for this version of BitTorrent protocol). Message format: <pstrlen><pstr><reserved><info_hash><peer_id> In version 1.0 of the BitTorrent protocol: pstrlen = 19 pstr = "BitTorrent protocol". Thus length is: 49 + len(pstr) = 68 bytes long. """ length = 49 + 19 def __init__(self, info_hash: bytes, peer_id: bytes): """ Construct the handshake message :param info_hash: The SHA1 hash for the info dict :param peer_id: The unique peer id """ if isinstance(info_hash, str): info_hash = info_hash.encode('utf-8') if isinstance(peer_id, str): peer_id = peer_id.encode('utf-8') self.info_hash = info_hash self.peer_id = peer_id def encode(self) -> bytes: """ Encodes this object instance to the raw bytes representing the entire message (ready to be transmitted). """ return struct.pack( '>B19s8x20s20s', 19, # Single byte (B) b'BitTorrent protocol', # String 19s # Reserved 8x (pad byte, no value) self.info_hash, # String 20s self.peer_id) # String 20s @classmethod def decode(cls, data: bytes): """ Decodes the given BitTorrent message into a handshake message, if not a valid message, None is returned. """ logging.debug('Decoding Handshake of length: {length}'.format( length=len(data))) if len(data) < (49 + 19): return None parts = struct.unpack('>B19s8x20s20s', data) return cls(info_hash=parts[2], peer_id=parts[3]) def __str__(self): return 'Handshake' class KeepAlive(PeerMessage): """ The Keep-Alive message has no payload and length is set to zero. Message format: <len=0000> """ def __str__(self): return 'KeepAlive' class BitField(PeerMessage): """ The BitField is a message with variable length where the payload is a bit array representing all the bits a peer have (1) or does not have (0). Message format: <len=0001+X><id=5><bitfield> """ def __init__(self, data): self.bitfield = bitstring.BitArray(bytes=data) def encode(self) -> bytes: """ Encodes this object instance to the raw bytes representing the entire message (ready to be transmitted). """ bits_length = len(self.bitfield) return struct.pack('>Ib' + str(bits_length) + 's', 1 + bits_length, PeerMessage.BitField, bytes(self.bitfield)) @classmethod def decode(cls, data: bytes): message_length = struct.unpack('>I', data[:4])[0] logging.debug('Decoding BitField of length: {length}'.format( length=message_length)) parts = struct.unpack('>Ib' + str(message_length - 1) + 's', data) return cls(parts[2]) def __str__(self): return 'BitField' class Interested(PeerMessage): """ The interested message is fix length and has no payload other than the message identifiers. It is used to notify each other about interest in downloading pieces. Message format: <len=0001><id=2> """ def encode(self) -> bytes: """ Encodes this object instance to the raw bytes representing the entire message (ready to be transmitted). """ return struct.pack('>Ib', 1, # Message length PeerMessage.Interested) def __str__(self): return 'Interested' class NotInterested(PeerMessage): """ The not interested message is fix length and has no payload other than the message identifier. It is used to notify each other that there is no interest to download pieces. Message format: <len=0001><id=3> """ def __str__(self): return 'NotInterested' class Choke(PeerMessage): """ The choke message is used to tell the other peer to stop send request messages until unchoked. Message format: <len=0001><id=0> """ def __str__(self): return 'Choke' class Unchoke(PeerMessage): """ Unchoking a peer enables that peer to start requesting pieces from the remote peer. Message format: <len=0001><id=1> """ def __str__(self): return 'Unchoke' class Have(PeerMessage): """ Represents a piece successfully downloaded by the remote peer. The piece is a zero based index of the torrents pieces """ def __init__(self, index: int): self.index = index def encode(self): return struct.pack('>IbI', 5, # Message length PeerMessage.Have, self.index) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Have of length: {length}'.format( length=len(data))) index = struct.unpack('>IbI', data)[2] return cls(index) def __str__(self): return 'Have' class Request(PeerMessage): """ The message used to request a block of a piece (i.e. a partial piece). The request size for each block is 2^14 bytes, except the final block that might be smaller (since not all pieces might be evenly divided by the request size). Message format: <len=0013><id=6><index><begin><length> """ def __init__(self, index: int, begin: int, length: int = REQUEST_SIZE): """ Constructs the Request message. :param index: The zero based piece index :param begin: The zero based offset within a piece :param length: The requested length of data (default 2^14) """ self.index = index self.begin = begin self.length = length def encode(self): return struct.pack('>IbIII', 13, PeerMessage.Request, self.index, self.begin, self.length) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Request of length: {length}'.format( length=len(data))) # Tuple with (message length, id, index, begin, length) parts = struct.unpack('>IbIII', data) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Request' class Piece(PeerMessage): """ A block is a part of a piece mentioned in the meta-info. The official specification refer to them as pieces as well - which is quite confusing the unofficial specification refers to them as blocks however. So this class is named `Piece` to match the message in the specification but really, it represents a `Block` (which is non-existent in the spec). Message format: <length prefix><message ID><index><begin><block> """ # The Piece message length without the block data length = 9 def __init__(self, index: int, begin: int, block: bytes): """ Constructs the Piece message. :param index: The zero based piece index :param begin: The zero based offset within a piece :param block: The block data """ self.index = index self.begin = begin self.block = block def encode(self): message_length = Piece.length + len(self.block) return struct.pack('>IbII' + str(len(self.block)) + 's', message_length, PeerMessage.Piece, self.index, self.begin, self.block) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Piece of length: {length}'.format( length=len(data))) length = struct.unpack('>I', data[:4])[0] parts = struct.unpack('>IbII' + str(length - Piece.length) + 's', data[:length+4]) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Piece' class Cancel(PeerMessage): """ The cancel message is used to cancel a previously requested block (in fact the message is identical (besides from the id) to the Request message). Message format: <len=0013><id=8><index><begin><length> """ def __init__(self, index, begin, length: int = REQUEST_SIZE): self.index = index self.begin = begin self.length = length def encode(self): return struct.pack('>IbIII', 13, PeerMessage.Cancel, self.index, self.begin, self.length) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Cancel of length: {length}'.format( length=len(data))) # Tuple with (message length, id, index, begin, length) parts = struct.unpack('>IbIII', data) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Cancel'

35.446335

116

0.570991

import asyncio import logging import struct from asyncio import Queue from concurrent.futures import CancelledError import datetime import bitstring REQUEST_SIZE = 2**14 HANDSHAKE_TIMEOUT = 4 class ProtocolError(BaseException): pass class PeerConnection: def __init__(self, queue: Queue, info_hash, peer_id, piece_manager, on_block_cb=None): self.my_state = [] self.peer_state = [] self.queue = queue self.info_hash = info_hash self.peer_id = peer_id self.remote_id = None self.writer = None self.reader = None self.piece_manager = piece_manager self.on_block_cb = on_block_cb self.future = asyncio.ensure_future(self._start()) async def _start(self): while 'stopped' not in self.my_state: ip, port = await self.queue.get() logging.info('Got assigned peer with: {ip}'.format(ip=ip)) try: self.reader, self.writer = await asyncio.open_connection( ip, port) logging.info('Connection open to peer: {ip}'.format(ip=ip)) buffer = await self._handshake() # TODO Add support for sending data # Sending BitField is optional and not needed when client does # not have any pieces. Thus we do not send any bitfield message # The default state for a connection is that peer is not # interested and we are choked self.my_state.append('choked') # Let the peer know we're interested in downloading pieces await self._send_interested() self.my_state.append('interested') async for message in PeerStreamIterator(self.reader, buffer): if 'stopped' in self.my_state: break if type(message) is BitField: self.piece_manager.add_peer(self.remote_id, message.bitfield) elif type(message) is Interested: self.peer_state.append('interested') elif type(message) is NotInterested: if 'interested' in self.peer_state: self.peer_state.remove('interested') elif type(message) is Choke: self.my_state.append('choked') """ written/modified by Stefan Brynielsson, May 2019 """ if "pending_request" in self.my_state: self.my_state.remove('pending_request') elif type(message) is Unchoke: if 'choked' in self.my_state: self.my_state.remove('choked') """ written/modified by Stefan Brynielsson, May 2019 """ if "pending_request" in self.my_state: self.my_state.remove('pending_request') elif type(message) is Have: self.piece_manager.update_peer(self.remote_id, message.index) elif type(message) is KeepAlive: """ Written/modified by Stefan Brynielsson, May 2019 """ break elif type(message) is Piece: self.my_state.remove('pending_request') self.on_block_cb( peer_id=self.remote_id, piece_index=message.index, block_offset=message.begin, data=message.block) elif type(message) is Request: logging.info('Ignoring the received Request message.') elif type(message) is Cancel: logging.info('Ignoring the received Cancel message.') if 'choked' not in self.my_state: if 'interested' in self.my_state: if 'pending_request' not in self.my_state: self.my_state.append('pending_request') await self._request_piece() except ProtocolError as e: logging.exception('Protocol error') except (ConnectionRefusedError, TimeoutError): logging.warning('Unable to connect to peer') except (ConnectionResetError, CancelledError): logging.warning('Connection closed') except Exception as e: logging.exception('An error occurred') self.cancel() raise e self.cancel() def cancel(self): logging.info('Closing peer {id}'.format(id=self.remote_id)) if not self.future.done(): self.future.cancel() if self.writer: self.writer.close() self.queue.task_done() def stop(self): # Set state to stopped and cancel our future to break out of the loop. # The rest of the cleanup will eventually be managed by loop calling # `cancel`. self.my_state.append('stopped') if not self.future.done(): self.future.cancel() async def _request_piece(self): block = self.piece_manager.next_request(self.remote_id) if block: message = Request(block.piece, block.offset, block.length).encode() logging.debug('Requesting block {block} for piece {piece} ' 'of {length} bytes from peer {peer}'.format( piece=block.piece, block=block.offset, length=block.length, peer=self.remote_id)) self.writer.write(message) await self.writer.drain() async def _handshake(self): self.writer.write(Handshake(self.info_hash, self.peer_id).encode()) time = datetime.datetime.now() await self.writer.drain() buf = b'' while len(buf) < Handshake.length: buf = await self.reader.read(PeerStreamIterator.CHUNK_SIZE) # End the handshake if it takes longer than HANDSHAKE_TIMEOUT seconds if (datetime.datetime.now() - time).total_seconds() > HANDSHAKE_TIMEOUT and len(buf) < Handshake.length: raise TimeoutError('NO handshake response') response = Handshake.decode(buf[:Handshake.length]) if not response: raise ProtocolError('Unable receive and parse a handshake') if not response.info_hash == self.info_hash: raise ProtocolError('Handshake with invalid info_hash') # TODO: According to spec we should validate that the peer_id received # from the peer match the peer_id received from the tracker. self.remote_id = response.peer_id logging.info('Handshake with peer was successful') # We need to return the remaining buffer data, since we might have # read more bytes then the size of the handshake message and we need # those bytes to parse the next message. return buf[Handshake.length:] async def _send_interested(self): message = Interested() logging.debug('Sending message: {type}'.format(type=message)) self.writer.write(message.encode()) await self.writer.drain() class PeerStreamIterator: CHUNK_SIZE = 10*1024 def __init__(self, reader, initial: bytes = None): self.reader = reader self.buffer = initial if initial else b'' async def __aiter__(self): return self async def __anext__(self): # Read data from the socket. When we have enough data to parse, parse # it and return the message. Until then keep reading from stream while True: try: data = await self.reader.read(PeerStreamIterator.CHUNK_SIZE) if data: self.buffer += data message = self.parse() if message: return message else: logging.debug('No data read from stream') if self.buffer: message = self.parse() if message: return message raise StopAsyncIteration() except ConnectionResetError: logging.debug('Connection closed by peer') raise StopAsyncIteration() except CancelledError: raise StopAsyncIteration() except StopAsyncIteration as e: # Cath to stop logging raise e except Exception: logging.exception('Error when iterating over stream!') raise StopAsyncIteration() raise StopAsyncIteration() def parse(self): # Each message is structured as: # <length prefix><message ID><payload> # # The `length prefix` is a four byte big-endian value # The `message ID` is a decimal byte # The `payload` is the value of `length prefix` # # The message length is not part of the actual length. So another # 4 bytes needs to be included when slicing the buffer. header_length = 4 if len(self.buffer) > 4: # 4 bytes is needed to identify the message message_length = struct.unpack('>I', self.buffer[0:4])[0] if message_length == 0: return KeepAlive() if len(self.buffer) >= message_length: message_id = struct.unpack('>b', self.buffer[4:5])[0] def _consume(): self.buffer = self.buffer[header_length + message_length:] def _data(): return self.buffer[:header_length + message_length] if message_id is PeerMessage.BitField: data = _data() _consume() return BitField.decode(data) elif message_id is PeerMessage.Interested: _consume() return Interested() elif message_id is PeerMessage.NotInterested: _consume() return NotInterested() elif message_id is PeerMessage.Choke: _consume() return Choke() elif message_id is PeerMessage.Unchoke: _consume() return Unchoke() elif message_id is PeerMessage.Have: data = _data() _consume() return Have.decode(data) elif message_id is PeerMessage.Piece: data = _data() _consume() return Piece.decode(data) elif message_id is PeerMessage.Request: data = _data() _consume() return Request.decode(data) elif message_id is PeerMessage.Cancel: data = _data() _consume() return Cancel.decode(data) else: logging.info('Unsupported message!') else: logging.debug('Not enough in buffer in order to parse') return None class PeerMessage: Choke = 0 Unchoke = 1 Interested = 2 NotInterested = 3 Have = 4 BitField = 5 Request = 6 Piece = 7 Cancel = 8 Port = 9 Handshake = None # Handshake is not really part of the messages KeepAlive = None # Keep-alive has no ID according to spec def encode(self) -> bytes: pass @classmethod def decode(cls, data: bytes): pass class Handshake(PeerMessage): length = 49 + 19 def __init__(self, info_hash: bytes, peer_id: bytes): if isinstance(info_hash, str): info_hash = info_hash.encode('utf-8') if isinstance(peer_id, str): peer_id = peer_id.encode('utf-8') self.info_hash = info_hash self.peer_id = peer_id def encode(self) -> bytes: return struct.pack( '>B19s8x20s20s', 19, # Single byte (B) b'BitTorrent protocol', # String 19s # Reserved 8x (pad byte, no value) self.info_hash, # String 20s self.peer_id) # String 20s @classmethod def decode(cls, data: bytes): logging.debug('Decoding Handshake of length: {length}'.format( length=len(data))) if len(data) < (49 + 19): return None parts = struct.unpack('>B19s8x20s20s', data) return cls(info_hash=parts[2], peer_id=parts[3]) def __str__(self): return 'Handshake' class KeepAlive(PeerMessage): def __str__(self): return 'KeepAlive' class BitField(PeerMessage): def __init__(self, data): self.bitfield = bitstring.BitArray(bytes=data) def encode(self) -> bytes: bits_length = len(self.bitfield) return struct.pack('>Ib' + str(bits_length) + 's', 1 + bits_length, PeerMessage.BitField, bytes(self.bitfield)) @classmethod def decode(cls, data: bytes): message_length = struct.unpack('>I', data[:4])[0] logging.debug('Decoding BitField of length: {length}'.format( length=message_length)) parts = struct.unpack('>Ib' + str(message_length - 1) + 's', data) return cls(parts[2]) def __str__(self): return 'BitField' class Interested(PeerMessage): def encode(self) -> bytes: return struct.pack('>Ib', 1, # Message length PeerMessage.Interested) def __str__(self): return 'Interested' class NotInterested(PeerMessage): def __str__(self): return 'NotInterested' class Choke(PeerMessage): def __str__(self): return 'Choke' class Unchoke(PeerMessage): def __str__(self): return 'Unchoke' class Have(PeerMessage): def __init__(self, index: int): self.index = index def encode(self): return struct.pack('>IbI', 5, # Message length PeerMessage.Have, self.index) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Have of length: {length}'.format( length=len(data))) index = struct.unpack('>IbI', data)[2] return cls(index) def __str__(self): return 'Have' class Request(PeerMessage): def __init__(self, index: int, begin: int, length: int = REQUEST_SIZE): self.index = index self.begin = begin self.length = length def encode(self): return struct.pack('>IbIII', 13, PeerMessage.Request, self.index, self.begin, self.length) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Request of length: {length}'.format( length=len(data))) # Tuple with (message length, id, index, begin, length) parts = struct.unpack('>IbIII', data) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Request' class Piece(PeerMessage): # The Piece message length without the block data length = 9 def __init__(self, index: int, begin: int, block: bytes): self.index = index self.begin = begin self.block = block def encode(self): message_length = Piece.length + len(self.block) return struct.pack('>IbII' + str(len(self.block)) + 's', message_length, PeerMessage.Piece, self.index, self.begin, self.block) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Piece of length: {length}'.format( length=len(data))) length = struct.unpack('>I', data[:4])[0] parts = struct.unpack('>IbII' + str(length - Piece.length) + 's', data[:length+4]) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Piece' class Cancel(PeerMessage): def __init__(self, index, begin, length: int = REQUEST_SIZE): self.index = index self.begin = begin self.length = length def encode(self): return struct.pack('>IbIII', 13, PeerMessage.Cancel, self.index, self.begin, self.length) @classmethod def decode(cls, data: bytes): logging.debug('Decoding Cancel of length: {length}'.format( length=len(data))) # Tuple with (message length, id, index, begin, length) parts = struct.unpack('>IbIII', data) return cls(parts[2], parts[3], parts[4]) def __str__(self): return 'Cancel'

true

f73d3204a303755adfb5db20409a06b93174a623

1,966

py

Python

t/test_multiple_outputs.py

texttheater/produce

202e3196daf7ac53c1998ac2ee9b0f8cbb1c6615

[ "MIT" ]

14

2015-03-04T12:40:25.000Z

2021-07-07T04:06:09.000Z

t/test_multiple_outputs.py

texttheater/produce

202e3196daf7ac53c1998ac2ee9b0f8cbb1c6615

[ "MIT" ]

43

2015-01-27T13:52:39.000Z

2020-10-17T19:51:20.000Z

t/test_multiple_outputs.py

texttheater/produce

202e3196daf7ac53c1998ac2ee9b0f8cbb1c6615

[ "MIT" ]

2

2015-11-23T08:59:07.000Z

2019-04-17T13:04:49.000Z

import logging import prodtest class MultipleOutputsTest(prodtest.ProduceTestCase): """ Tests the handling of recipes with multiple outputs. """ def test_without(self): """ Without the outputs attribute, the recipe is run twice, once for each target, thus two INFO messages are generated: """ self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('a.txt', 'b.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 4) self.assertDirectoryContents(['produce.ini', 'Makefile', 'a.txt', 'b.txt']) def test_with(self): """ With the outputs attribute, the recipe is run only once: """ self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('c.txt', 'd.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'c.txt', 'd.txt']) def test_with_2(self): """ Same, but using the out. prefix instead of the outputs attribute. """ self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('e.txt', 'f.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'e.txt', 'f.txt']) def test_with_3(self): """ Same, mixing out. and outputs. """ self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('g.txt', 'h.txt', 'i.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'g.txt', 'h.txt', 'i.txt'])

39.32

92

0.591048

import logging import prodtest class MultipleOutputsTest(prodtest.ProduceTestCase): def test_without(self): self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('a.txt', 'b.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 4) self.assertDirectoryContents(['produce.ini', 'Makefile', 'a.txt', 'b.txt']) def test_with(self): self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('c.txt', 'd.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'c.txt', 'd.txt']) def test_with_2(self): self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('e.txt', 'f.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'e.txt', 'f.txt']) def test_with_3(self): self.assertDirectoryContents(['produce.ini', 'Makefile']) with self.assertLogs(logger='produce', level='INFO') as l: self.produce('g.txt', 'h.txt', 'i.txt', **{'-j': '3'}) self.assertEqual(len(l.output), 2) self.assertDirectoryContents(['produce.ini', 'Makefile', 'g.txt', 'h.txt', 'i.txt'])

true

f73d3257f62bc0ae7b535041cfd95569f3b0616a

4,265

py

Python

routines/pf/models/_sym.py

cmulvihill/mechdriver

296cc3b4c154889c11470c7b82315b0382334b98

[ "Apache-2.0" ]

null

routines/pf/models/_sym.py

cmulvihill/mechdriver

296cc3b4c154889c11470c7b82315b0382334b98

[ "Apache-2.0" ]

null

routines/pf/models/_sym.py

cmulvihill/mechdriver

296cc3b4c154889c11470c7b82315b0382334b98

[ "Apache-2.0" ]

null

""" Handle symmetry factor stuff """ import automol from autofile import fs from lib import structure def symmetry_factor(pf_filesystems, pf_models, spc_dct_i, rotors, frm_bnd_keys=(), brk_bnd_keys=()): """ Calculate the symmetry factor for a species Note: ignoring for saddle pts the possibility that two configurations differ only in their torsional values. As a result, the symmetry factor is a lower bound of the true value """ if 'sym_factor' in spc_dct_i: sym_factor = spc_dct_i['sym_factor'] print(' - Reading symmetry number input by user:', sym_factor) else: # if automol.geom.is_atom(geo): sym_model = pf_models['sym'] # Obtain geometry, energy, and symmetry filesystem [cnf_fs, cnf_path, min_cnf_locs, _, _] = pf_filesystems['sym'] geo = cnf_fs[-1].file.geometry.read(min_cnf_locs) # Obtain the external symssetry number ext_sym = automol.geom.external_symmetry_factor(geo) # Obtain the internal symmetry number using some routine if sym_model == 'sampling': # Set up the symmetry filesystem sym_fs = fs.symmetry(cnf_path) sym_geos = [geo] sym_geos += [sym_fs[-1].file.geometry.read(locs) for locs in sym_fs[-1].existing()] # Obtain the internal if rotors: print(' - Determining internal sym number ', 'using sampling routine.') int_sym = int_sym_num_from_sampling( sym_geos, frm_bnd_keys=frm_bnd_keys, brk_bnd_keys=brk_bnd_keys) else: print(' - No torsions, internal sym is 1.0') int_sym = 1.0 else: print('No symmetry model requested, ', 'setting internal sym factor to 1.0') int_sym = 1.0 # Obtain overall number sym_factor = ext_sym * int_sym # Reduce sym factor using rotor symmetries sym_factor = tors_reduced_sym_factor(sym_factor, rotors) # print('sym_factor test:', sym_factor) return sym_factor def int_sym_num_from_sampling(sym_geos, frm_bnd_keys=(), brk_bnd_keys=()): """ Determine the symmetry number for a given conformer geometry. (1) Explore the saved conformers to find the list of similar conformers - i.e. those with a coulomb matrix and energy that are equivalent to those for the reference geometry. (2) Expand each of those similar conformers by applying rotational permutations to each of the terminal groups. (3) Count how many distinct distance matrices there are in the fully expanded conformer list. """ # Set saddle saddle = bool(frm_bnd_keys or brk_bnd_keys) int_sym_num = 0 # modify geometries to remove H's from rotatable XHn end group # this will be accounted for separately as multiplicative factor mod_sym_geos = [] for geo_sym_i in sym_geos: mod_geo_sym_i, end_group_factor = automol.geom.end_group_sym_factor( geo_sym_i, frm_bnd_keys, brk_bnd_keys) # print('end_group_factor test:', end_group_factor) new_geom = True for mod_geo_sym_j in mod_sym_geos: if automol.geom.almost_equal_dist_matrix( mod_geo_sym_i, mod_geo_sym_j, thresh=3e-1): if saddle: new_geom = False break tors_same = structure.geom.are_torsions_same( mod_geo_sym_i, mod_geo_sym_j, ts_bnds=()) if tors_same: new_geom = False break if new_geom: mod_sym_geos.append(mod_geo_sym_i) int_sym_num += 1 int_sym_num *= end_group_factor return int_sym_num def tors_reduced_sym_factor(sym_factor, rotors): """ Decrease the overall molecular symmetry factor by the torsional mode symmetry numbers """ for rotor in rotors: for tors_name, tors_dct in rotor.items(): if 'D' in tors_name: sym_factor /= tors_dct['sym_num'] return sym_factor

34.674797

77

0.616882

import automol from autofile import fs from lib import structure def symmetry_factor(pf_filesystems, pf_models, spc_dct_i, rotors, frm_bnd_keys=(), brk_bnd_keys=()): if 'sym_factor' in spc_dct_i: sym_factor = spc_dct_i['sym_factor'] print(' - Reading symmetry number input by user:', sym_factor) else: sym_model = pf_models['sym'] [cnf_fs, cnf_path, min_cnf_locs, _, _] = pf_filesystems['sym'] geo = cnf_fs[-1].file.geometry.read(min_cnf_locs) ext_sym = automol.geom.external_symmetry_factor(geo) if sym_model == 'sampling': sym_fs = fs.symmetry(cnf_path) sym_geos = [geo] sym_geos += [sym_fs[-1].file.geometry.read(locs) for locs in sym_fs[-1].existing()] if rotors: print(' - Determining internal sym number ', 'using sampling routine.') int_sym = int_sym_num_from_sampling( sym_geos, frm_bnd_keys=frm_bnd_keys, brk_bnd_keys=brk_bnd_keys) else: print(' - No torsions, internal sym is 1.0') int_sym = 1.0 else: print('No symmetry model requested, ', 'setting internal sym factor to 1.0') int_sym = 1.0 sym_factor = ext_sym * int_sym sym_factor = tors_reduced_sym_factor(sym_factor, rotors) return sym_factor def int_sym_num_from_sampling(sym_geos, frm_bnd_keys=(), brk_bnd_keys=()): saddle = bool(frm_bnd_keys or brk_bnd_keys) int_sym_num = 0 # this will be accounted for separately as multiplicative factor mod_sym_geos = [] for geo_sym_i in sym_geos: mod_geo_sym_i, end_group_factor = automol.geom.end_group_sym_factor( geo_sym_i, frm_bnd_keys, brk_bnd_keys) # print('end_group_factor test:', end_group_factor) new_geom = True for mod_geo_sym_j in mod_sym_geos: if automol.geom.almost_equal_dist_matrix( mod_geo_sym_i, mod_geo_sym_j, thresh=3e-1): if saddle: new_geom = False break tors_same = structure.geom.are_torsions_same( mod_geo_sym_i, mod_geo_sym_j, ts_bnds=()) if tors_same: new_geom = False break if new_geom: mod_sym_geos.append(mod_geo_sym_i) int_sym_num += 1 int_sym_num *= end_group_factor return int_sym_num def tors_reduced_sym_factor(sym_factor, rotors): for rotor in rotors: for tors_name, tors_dct in rotor.items(): if 'D' in tors_name: sym_factor /= tors_dct['sym_num'] return sym_factor

true

f73d327e2f83cfcb8714c4fa54d314b74ae3fd9f

432

py

Python

djangocms_versioning/test_utils/people/models.py

webbyfox/djangocms-versioning

a466ff0f8d109a22ec2f567cace6ef69d332180c

[ "BSD-3-Clause" ]

null

djangocms_versioning/test_utils/people/models.py

webbyfox/djangocms-versioning

a466ff0f8d109a22ec2f567cace6ef69d332180c

[ "BSD-3-Clause" ]

null

djangocms_versioning/test_utils/people/models.py

webbyfox/djangocms-versioning

a466ff0f8d109a22ec2f567cace6ef69d332180c

[ "BSD-3-Clause" ]

null

from django.db import models class Person(models.Model): name = models.TextField() def __str__(self): return "{} ({})".format(self.name, self.pk) class PersonContent(models.Model): person = models.ForeignKey(Person, on_delete=models.CASCADE) language = models.TextField() text = models.TextField() def __str__(self): return self.text def get_absolute_url(self): return '/'

20.571429

64

0.655093

from django.db import models class Person(models.Model): name = models.TextField() def __str__(self): return "{} ({})".format(self.name, self.pk) class PersonContent(models.Model): person = models.ForeignKey(Person, on_delete=models.CASCADE) language = models.TextField() text = models.TextField() def __str__(self): return self.text def get_absolute_url(self): return '/'

true

f73d349e984d5454ce11e084b531095d6331c012

206

py

Python

solution/app/admin.py

itsnikhil/atlan-challenge

41fc403f2156a5d1f182f58ce52458d4f04ec0c4

[ "MIT" ]

null

solution/app/admin.py

itsnikhil/atlan-challenge

41fc403f2156a5d1f182f58ce52458d4f04ec0c4

[ "MIT" ]

null

solution/app/admin.py

itsnikhil/atlan-challenge

41fc403f2156a5d1f182f58ce52458d4f04ec0c4

[ "MIT" ]

null

from django.contrib import admin from app.models import DataStore, GameSale # Show files uploaded in django admin admin.site.register(DataStore) # Show record in django admin admin.site.register(GameSale)

25.75

42

0.815534

from django.contrib import admin from app.models import DataStore, GameSale admin.site.register(DataStore) admin.site.register(GameSale)

true

f73d351428b1cb2945097f900a83553d32216fd3

2,240

py

Python

backend/app/schemas/cars_search_query.py

BartlomiejRasztabiga/Rentally

ba70199d329895a5295ceddd0ecc4c61928890dd

[ "MIT" ]

2

2021-01-11T23:24:29.000Z

2021-01-12T09:55:58.000Z

backend/app/schemas/cars_search_query.py

BartlomiejRasztabiga/Rentally

ba70199d329895a5295ceddd0ecc4c61928890dd

[ "MIT" ]

null

backend/app/schemas/cars_search_query.py

BartlomiejRasztabiga/Rentally

ba70199d329895a5295ceddd0ecc4c61928890dd

[ "MIT" ]

null

import abc from datetime import datetime from typing import List, Optional from pydantic import BaseModel from sqlalchemy.sql.elements import BinaryExpression from app.models import Car from app.models.car import AcType, CarType, DriveType, FuelType, GearboxType class RangeCriterion(BaseModel): __metaclass__ = abc.ABCMeta @abc.abstractmethod def to_condition(self) -> BinaryExpression: raise NotImplementedError() class NumberOfPassengersRange(RangeCriterion): start: int end: int def to_condition(self) -> BinaryExpression: return Car.number_of_passengers.between(self.start, self.end) class PricePerDayRange(RangeCriterion): start: float end: float def to_condition(self) -> BinaryExpression: return Car.price_per_day.between(self.start, self.end) class AvailabilityDatesRange(BaseModel): start: datetime end: datetime class CarsSearchQuery(BaseModel): model_name: Optional[str] = None type: Optional[CarType] = None fuel_type: Optional[FuelType] = None gearbox_type: Optional[GearboxType] = None ac_type: Optional[AcType] = None drive_type: Optional[DriveType] = None number_of_passengers: Optional[NumberOfPassengersRange] = None price_per_day: Optional[PricePerDayRange] = None availability_dates: Optional[AvailabilityDatesRange] = None def to_conditions(self) -> List[BinaryExpression]: """ Returns list of SQLAlchemy filter conditions based on query object values """ conditions = [] for field_name in CarsSearchQuery.__fields__.keys(): value = getattr(self, field_name) if value is not None: if isinstance(value, RangeCriterion): conditions.append(value.to_condition()) elif isinstance( value, str ): # use ilike on str fields instead of exact match conditions.append(getattr(Car, field_name).ilike(f"%{value}%")) elif isinstance(value, AvailabilityDatesRange): # skip pass else: conditions.append(getattr(Car, field_name) == value) return conditions

31.549296

83

0.674107

import abc from datetime import datetime from typing import List, Optional from pydantic import BaseModel from sqlalchemy.sql.elements import BinaryExpression from app.models import Car from app.models.car import AcType, CarType, DriveType, FuelType, GearboxType class RangeCriterion(BaseModel): __metaclass__ = abc.ABCMeta @abc.abstractmethod def to_condition(self) -> BinaryExpression: raise NotImplementedError() class NumberOfPassengersRange(RangeCriterion): start: int end: int def to_condition(self) -> BinaryExpression: return Car.number_of_passengers.between(self.start, self.end) class PricePerDayRange(RangeCriterion): start: float end: float def to_condition(self) -> BinaryExpression: return Car.price_per_day.between(self.start, self.end) class AvailabilityDatesRange(BaseModel): start: datetime end: datetime class CarsSearchQuery(BaseModel): model_name: Optional[str] = None type: Optional[CarType] = None fuel_type: Optional[FuelType] = None gearbox_type: Optional[GearboxType] = None ac_type: Optional[AcType] = None drive_type: Optional[DriveType] = None number_of_passengers: Optional[NumberOfPassengersRange] = None price_per_day: Optional[PricePerDayRange] = None availability_dates: Optional[AvailabilityDatesRange] = None def to_conditions(self) -> List[BinaryExpression]: conditions = [] for field_name in CarsSearchQuery.__fields__.keys(): value = getattr(self, field_name) if value is not None: if isinstance(value, RangeCriterion): conditions.append(value.to_condition()) elif isinstance( value, str ): conditions.append(getattr(Car, field_name).ilike(f"%{value}%")) elif isinstance(value, AvailabilityDatesRange): pass else: conditions.append(getattr(Car, field_name) == value) return conditions

true

f73d36f0dfeeaff0a96d34b47f6c41f1dd0588cf

143,997

py

Python

src/genie/libs/parser/nxos/show_interface.py

psolarcz/genieparser

811c197a1dab6a635e6dec145b99194648bf4ff4

[ "Apache-2.0" ]

null

src/genie/libs/parser/nxos/show_interface.py

psolarcz/genieparser

811c197a1dab6a635e6dec145b99194648bf4ff4

[ "Apache-2.0" ]

null

src/genie/libs/parser/nxos/show_interface.py

psolarcz/genieparser

811c197a1dab6a635e6dec145b99194648bf4ff4

[ "Apache-2.0" ]

null

'''show_interface.py NXOS parsers for the following show commands: * show interface * show vrf all interface * show ip interface vrf all * show ipv6 interface detail vrf all * show interface switchport * show ip interface brief * show ip interface brief | vlan * show interface brief * show interface {interface} brief * show running-config interface {interface} ''' # python import re # metaparser from genie.metaparser import MetaParser from genie.metaparser.util.schemaengine import Schema, Any, Optional # import parser utils from genie.libs.parser.utils.common import Common # =========================== # Schema for 'show interface' # =========================== class ShowInterfaceSchema(MetaParser): """Schema for show interface""" schema = { Any(): {Optional('description'): str, Optional('types'): str, Optional('parent_interface'): str, 'oper_status': str, Optional('admin_state'): str, Optional('dedicated_intface'): bool, Optional('line_protocol'): str, Optional('autostate'): bool, Optional('link_state'): str, Optional('phys_address'): str, Optional('port_speed'): str, Optional('mtu'): int, 'enabled': bool, Optional('mac_address'): str, Optional('auto_negotiate'): bool, Optional('duplex_mode'): str, Optional('port_mode'): str, Optional('auto_mdix'): str, Optional('switchport_monitor'): str, Optional('efficient_ethernet'): str, Optional('last_link_flapped'): str, Optional('interface_reset'): int, Optional('ethertype'): str, Optional('beacon'): str, Optional('medium'): str, Optional('reliability'): str, Optional('txload'): str, Optional('rxload'): str, Optional('delay'): int, Optional('media_type'): str, Optional('flow_control'): {Optional('receive'): bool, Optional('send'): bool, }, Optional('port_channel'): {Optional('port_channel_member'): bool, Optional('port_channel_int'): str, Optional('port_channel_member_intfs'): list }, Optional('bandwidth'): int, Optional('counters'): {Optional('rate'): {Optional('load_interval'): int, Optional('in_rate'): int, Optional('in_rate_pkts'): int, Optional('out_rate'): int, Optional('out_rate_pkts'): int, Optional('in_rate_bps'): int, Optional('in_rate_pps'): int, Optional('out_rate_bps'): int, Optional('out_rate_pps'): int, }, Optional('in_unicast_pkts'): int, Optional('in_multicast_pkts'): int, Optional('in_broadcast_pkts'): int, Optional('in_discards'): int, Optional('in_crc_errors'): int, Optional('in_oversize_frames'): int, Optional('in_pkts'): int, Optional('in_mac_pause_frames'): int, Optional('in_jumbo_packets'): int, Optional('in_storm_suppression_packets'): int, Optional('in_runts'): int, Optional('in_oversize_frame'): int, Optional('in_overrun'): int, Optional('in_underrun'): int, Optional('in_ignored'): int, Optional('in_watchdog'): int, Optional('in_bad_etype_drop'): int, Optional('in_unknown_protos'): int, Optional('in_if_down_drop'): int, Optional('in_with_dribble'): int, Optional('in_discard'): int, Optional('in_octets'): int, Optional('in_errors'): int, Optional('in_short_frame'): int, Optional('in_no_buffer'): int, Optional('out_pkts'): int, Optional('out_unicast_pkts'): int, Optional('out_multicast_pkts'): int, Optional('out_broadcast_pkts'): int, Optional('out_discard'): int, Optional('out_octets'): int, Optional('out_jumbo_packets'): int, Optional('out_errors'): int, Optional('out_collision'): int, Optional('out_deferred'): int, Optional('out_late_collision'): int, Optional('out_lost_carrier'): int, Optional('out_no_carrier'): int, Optional('out_babble'): int, Optional('last_clear'): str, Optional('tx'): bool, Optional('rx'): bool, Optional('out_mac_pause_frames'): int, }, Optional('encapsulations'): {Optional('encapsulation'): str, Optional('first_dot1q'): str, Optional('native_vlan'): int, }, Optional('ipv4'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('secondary'): bool, Optional('route_tag'): str }, }, }, } # =========================== # Parser for 'show interface' # =========================== class ShowInterface(ShowInterfaceSchema): """Parser for show interface, show interface <interface>""" cli_command = ['show interface', 'show interface {interface}'] exclude = [ 'in_unicast_pkts', 'out_unicast_pkts', 'in_octets', 'out_octets', 'in_pkts', 'out_pkts', 'in_multicast_pkts', 'out_multicast_pkts', 'in_rate', 'out_rate', 'in_broadcast_pkts', 'out_broadcast_pkts', 'last_link_flapped', 'in_rate_pkts', 'out_rate_pkts', 'out_rate_bps', 'in_rate_bps', 'interface_reset', 'in_rate_pps', 'out_rate_pps', 'last_clear', 'out_jumbo_packets', 'in_jumbo_packets', 'rxload', 'txload', 'in_errors', 'mac_address', 'phys_address', 'in_crc_errors', 'reliability'] def cli(self, interface="", output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output # Ethernet2/1.10 is down (Administratively down) p1 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>(down))' '( *$(?P<link_state>[a-zA-Z0-9\-\s]+)$)?$') # Vlan1 is down (Administratively down), line protocol is down, autostate enabled # Vlan23 is administratively down (Administratively down), line protocol is down, autostate enabled p1_1 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>[\w\s]+)' '( *$(?P<link_state>[\w\-\/\s]+)$)?, +' 'line +protocol +is +(?P<line_protocol>\w+),? *' '(autostate +(?P<autostate>\w+))?$') # Ethernet2/2 is up p1_2 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>(up))' '( *$(?P<link_state>[a-zA-Z\s]+)$)?$') # admin state is up # admin state is up, # admin state is up, Dedicated Interface # admin state is up, Dedicated Interface, [parent interface is Ethernet2/1] p2 = re.compile(r'^admin +state +is' ' +(?P<admin_state>([a-zA-Z0-9\/\.]+))(?:,)?' '(?: +(?P<dedicated_intf>(Dedicated Interface)))?' '(?:, +\[parent +interface +is' ' +(?P<parent_intf>(\S+))\])?$') # Dedicated Interface p2_1 = re.compile(r'^Dedicated Interface$') # Belongs to Po1 p2_2 = re.compile(r'^Belongs *to *(?P<port_channel_int>[a-zA-Z0-9]+)$') # Hardware: Ethernet, address: 5254.00c9.d26e (bia 5254.00c9.d26e) p3 = re.compile(r'^Hardware: *(?P<types>[a-zA-Z0-9\/\s]+),' ' *address: *(?P<mac_address>[a-z0-9\.]+)' ' *$bia *(?P<phys_address>[a-z0-9\.]+)$$') #Description: desc p4 = re.compile(r'^Description: *(?P<description>.*)$') #Internet Address is 10.4.4.4/24 secondary tag 10 p5 = re.compile(r'^Internet *Address *is *(?P<ip>[0-9\.]+)' '\/(?P<prefix_length>[0-9]+)' '(?: *(?P<secondary>(secondary)))?(?: *tag' ' *(?P<route_tag>[0-9]+))?$') # MTU 1600 bytes, BW 768 Kbit, DLY 3330 usec # MTU 1500 bytes, BW 1000000 Kbit, DLY 10 usec, # MTU 1500 bytes, BW 1000000 Kbit p6 = re.compile(r'^MTU *(?P<mtu>[0-9]+) *bytes, *BW' ' *(?P<bandwidth>[0-9]+) *Kbit(, *DLY' ' *(?P<delay>[0-9]+) *usec)?,?$') # MTU 1500 bytes, BW 40000000 Kbit,, BW 40000000 Kbit, DLY 10 usec p6_1 = re.compile(r'^MTU *(?P<mtu>[0-9]+) *bytes, *BW' ' *(?P<bandwidth>[0-9]+) *Kbit, *,? *BW' ' *([0-9]+) *Kbit, *DLY' ' *(?P<delay>[0-9]+) *usec$') # reliability 255/255, txload 1/255, rxload 1/255 p7 = re.compile(r'^reliability *(?P<reliability>[0-9\/]+),' ' *txload *(?P<txload>[0-9\/]+),' ' *rxload *(?P<rxload>[0-9\/]+)$') #Encapsulation 802.1Q Virtual LAN, Vlan ID 10, medium is broadcast #Encapsulation 802.1Q Virtual LAN, Vlan ID 20, medium is p2p #Encapsulation ARPA, medium is broadcast p8 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *medium *is *(?P<medium>[a-zA-Z]+)$') p8_1 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *Vlan *ID *(?P<first_dot1q>[0-9]+),' ' *medium *is *(?P<medium>[a-z0-9]+)$') # Encapsulation ARPA, loopback not set p8_2 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *([\w\s]+)$') #Port mode is routed p9 = re.compile(r'^Port *mode *is *(?P<port_mode>[a-z]+)$') # auto-duplex, auto-speed p10_1 = re.compile(r'^auto-duplex, +auto-speed$') #full-duplex, 1000 Mb/s # auto-duplex, auto-speed # full-duplex, 1000 Mb/s, media type is 1G # auto-duplex, auto-speed, media type is 10G p10 = re.compile(r'^(?P<duplex_mode>[a-z]+)-duplex, *(?P<port_speed>[a-z0-9\-]+)(?: ' '*[G|M]b/s)?(?:, +media +type +is (?P<media_type>\w+))?$') #Beacon is turned off p11 = re.compile(r'^Beacon *is *turned *(?P<beacon>[a-z]+)$') #Auto-Negotiation is turned off p12 = re.compile(r'^Auto-Negotiation *is *turned' ' *(?P<auto_negotiate>(off))$') #Auto-Negotiation is turned on p12_1 = re.compile(r'^Auto-Negotiation *is *turned' ' *(?P<auto_negotiate>(on))$') #Input flow-control is off, output flow-control is off p13 = re.compile(r'^Input *flow-control *is *(?P<receive>(off)+),' ' *output *flow-control *is *(?P<send>(off)+)$') #Input flow-control is off, output flow-control is on p13_1 = re.compile(r'^Input *flow-control *is *(?P<receive>(on)+),' ' *output *flow-control *is *(?P<send>(on)+)$') #Auto-mdix is turned off p14 = re.compile(r'^Auto-mdix *is *turned *(?P<auto_mdix>[a-z]+)$') #Switchport monitor is off p15 = re.compile(r'^Switchport *monitor *is *(?P<switchport_monitor>[a-z]+)$') #EtherType is 0x8100 p16 = re.compile(r'^EtherType *is *(?P<ethertype>[a-z0-9]+)$') # Members in this channel: Eth1/15, Eth1/16 # Members in this channel: Eth1/28 p38 = re.compile(r'^Members +in +this +channel *: *' '(?P<port_channel_member_intfs>[\w\/\.\-\,\s]+)$') #EEE (efficient-ethernet) : n/a p17 = re.compile(r'^EEE *$efficient-ethernet$ *:' ' *(?P<efficient_ethernet>[A-Za-z\/]+)$') #Last link flapped 00:07:28 p18 = re.compile(r'^Last *link *flapped' ' *(?P<last_link_flapped>[a-z0-9\:]+)$') # Last clearing of "show interface" counters never p19 = re.compile(r'^Last *clearing *of *\"show *interface\"' ' *counters *(?P<last_clear>[a-z0-9\:]+)$') # Last clearing of "" counters 00:15:42 p19_1 = re.compile(r'^Last *clearing *of *\" *\"' ' *counters *(?P<last_clear>[a-z0-9\:]+)$') #1 interface resets p20 = re.compile(r'^(?P<interface_reset>[0-9]+) *interface' ' *resets$') # 1 minute input rate 0 bits/sec, 0 packets/sec p21 = re.compile(r'^(?P<load_interval>[0-9\#]+)' ' *(minute|second|minutes|seconds) *input *rate' ' *(?P<in_rate>[0-9]+) *bits/sec,' ' *(?P<in_rate_pkts>[0-9]+) *packets/sec$') #1 minute output rate 24 bits/sec, 0 packets/sec p22 = re.compile(r'^(?P<load_interval>[0-9\#]+)' ' *(minute|second|minutes|seconds) *output' ' *rate *(?P<out_rate>[0-9]+)' ' *bits/sec, *(?P<out_rate_pkts>[0-9]+)' ' *packets/sec$') #input rate 0 bps, 0 pps; output rate 0 bps, 0 pps p23 = re.compile(r'^input *rate *(?P<in_rate_bps>[0-9]+) *bps,' ' *(?P<in_rate_pps>[0-9]+) *pps; *output *rate' ' *(?P<out_rate_bps>[0-9]+) *bps,' ' *(?P<out_rate_pps>[0-9]+) *pps$') # RX p23_1 = re.compile(r'^(?P<rx>(RX))$') #0 unicast packets 0 multicast packets 0 broadcast packets p24 = re.compile(r'^(?P<in_unicast_pkts>[0-9]+) +unicast +packets' ' +(?P<in_multicast_pkts>[0-9]+) +multicast +packets' ' +(?P<in_broadcast_pkts>[0-9]+) +broadcast +packets$') # 0 input packets 0 bytes # 607382344 input packets 445986207 unicast packets 132485585 multicast packets p25 = re.compile(r'^(?P<in_pkts>[0-9]+) +input +packets(?: ' '+(?P<in_octets>[0-9]+) +bytes)?(?: +(?P<in_unicast_pkts>[0-9]+) ' '+unicast +packets +(?P<in_multicast_pkts>[0-9]+) +multicast +packets)?$') #0 jumbo packets 0 storm suppression packets p26 = re.compile(r'^(?P<in_jumbo_packets>[0-9]+) +jumbo +packets' ' *(?P<in_storm_suppression_packets>[0-9]+)' ' *storm *suppression *packets$') #0 runts 0 giants 0 CRC/FCS 0 no buffer #0 runts 0 giants 0 CRC 0 no buffer p27 = re.compile(r'^(?P<in_runts>[0-9]+) *runts' ' *(?P<in_oversize_frame>[0-9]+) *giants' ' *(?P<in_crc_errors>[0-9]+) *CRC(/FCS)?' ' *(?P<in_no_buffer>[0-9]+) *no *buffer$') #0 input error 0 short frame 0 overrun 0 underrun 0 ignored p28 = re.compile(r'^(?P<in_errors>[0-9]+) *input *error' ' *(?P<in_short_frame>[0-9]+) *short *frame' ' *(?P<in_overrun>[0-9]+) *overrun *(?P<in_underrun>[0-9]+)' ' *underrun *(?P<in_ignored>[0-9]+) *ignored$') #0 watchdog 0 bad etype drop 0 bad proto drop 0 if down drop p29 = re.compile(r'^(?P<in_watchdog>[0-9]+) *watchdog' ' *(?P<in_bad_etype_drop>[0-9]+)' ' *bad *etype *drop *(?P<in_unknown_protos>[0-9]+)' ' *bad *proto' ' *drop *(?P<in_if_down_drop>[0-9]+) *if *down *drop$') # 0 input with dribble 0 input discard p30 = re.compile(r'^(?P<in_with_dribble>[0-9]+) *input *with' ' *dribble *(?P<in_discard>[0-9]+) *input *discard$') # 0 Rx pause p31 = re.compile(r'^(?P<in_mac_pause_frames>[0-9]+) *Rx *pause$') # TX p31_1 = re.compile(r'^(?P<tx>(TX))$') #0 unicast packets 0 multicast packets 0 broadcast packets p32 = re.compile(r'^(?P<out_unicast_pkts>[0-9]+) *unicast *packets' ' *(?P<out_multicast_pkts>[0-9]+) *multicast *packets' ' *(?P<out_broadcast_pkts>[0-9]+) *broadcast *packets$') #0 output packets 0 bytes p33 = re.compile(r'^(?P<out_pkts>[0-9]+) *output *packets' ' *(?P<out_octets>[0-9]+) *bytes$') #0 jumbo packets p34 = re.compile(r'^(?P<out_jumbo_packets>[0-9]+) *jumbo *packets$') #0 output error 0 collision 0 deferred 0 late collision p35 = re.compile(r'^(?P<out_errors>[0-9]+) *output *error' ' *(?P<out_collision>[0-9]+) *collision' ' *(?P<out_deferred>[0-9]+) *deferred' ' *(?P<out_late_collision>[0-9]+)' ' *late *collision$') #0 lost carrier 0 no carrier 0 babble 0 output discard p36 = re.compile(r'^(?P<out_lost_carrier>[0-9]+) *lost *carrier' ' *(?P<out_no_carrier>[0-9]+) *no *carrier' ' *(?P<out_babble>[0-9]+) *babble' ' *(?P<out_discard>[0-9]+) *output *discard$') #0 Tx pause p37 = re.compile(r'^(?P<out_mac_pause_frames>[0-9]+) *Tx *pause$') # Members in this channel: Eth1/15, Eth1/16 # Members in this channel: Eth1/28 p38 = re.compile(r'^Members +in +this +channel *: *' '(?P<port_channel_member_intfs>[\w\/\.\-\,\s]+)$') # 28910552 broadcast packets 63295517997 bytes p39 = re.compile(r'^(?P<in_broadcast_pkts>[0-9]+) +broadcast +packets +(?P<in_octets>[0-9]+) +bytes$') interface_dict = {} rx = False tx = False for line in out.splitlines(): line = line.replace('\t', ' ') line = line.strip() # Ethernet2/1.10 is down (Administratively down) m = p1.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state interface_dict[interface]['enabled'] = False interface_dict[interface]['oper_status'] = 'down' continue # Vlan1 is down (Administratively down), line protocol is down, autostate enabled # Vlan23 is administratively down (Administratively down), line protocol is down, autostate enabled m = p1_1.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] line_protocol = m.groupdict()['line_protocol'] autostate = m.groupdict()['autostate'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state if enabled: enabled = enabled.lower() interface_dict[interface]['enabled'] = False if 'down' in enabled else True interface_dict[interface]['oper_status'] = enabled.strip() if line_protocol: interface_dict[interface]['line_protocol'] = line_protocol.lower() if autostate: interface_dict[interface]['autostate'] = True if \ autostate.lower() == 'enabled' else False continue # Ethernet2/2 is up m = p1_2.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state interface_dict[interface]['enabled'] = True interface_dict[interface]['oper_status'] = 'up' continue # admin state is up # admin state is up, # admin state is up, Dedicated Interface # admin state is up, Dedicated Interface, [parent interface is Ethernet2/1] m = p2.match(line) if m: # admin_state interface_dict[interface]['admin_state'] = \ m.groupdict()['admin_state'] # dedicated_interface if m.groupdict()['dedicated_intf']: interface_dict[interface]['dedicated_intface'] = True # parent_interface if m.groupdict()['parent_intf']: interface_dict[interface]['parent_interface'] = \ m.groupdict()['parent_intf'] continue # Dedicated Interface m = p2_1.match(line) if m: interface_dict[interface]['dedicated_intface'] = True continue # Belongs to Po1 m = p2_2.match(line) if m: port_channel_int = str(m.groupdict()['port_channel_int']) if 'port_channel' not in interface_dict[interface]: interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = True interface_dict[interface]['port_channel']\ ['port_channel_int'] = Common.convert_intf_name(port_channel_int) continue # Hardware: Ethernet, address: 5254.00c9.d26e (bia 5254.00c9.d26e) m = p3.match(line) if m: types = m.groupdict()['types'] mac_address = m.groupdict()['mac_address'] phys_address = m.groupdict()['phys_address'] interface_dict[interface]['types'] = types interface_dict[interface]\ ['mac_address'] = mac_address interface_dict[interface]\ ['phys_address'] = phys_address continue #Description: desc m = p4.match(line) if m: description = m.groupdict()['description'] interface_dict[interface]['description'] = description continue #Internet Address is 10.4.4.4/24 secondary tag 10 m = p5.match(line) if m: ip = m.groupdict()['ip'] prefix_length = str(m.groupdict()['prefix_length']) secondary = m.groupdict()['secondary'] route_tag = m.groupdict()['route_tag'] #address = ipv4+prefix_length address = ip + '/' + prefix_length if 'ipv4' not in interface_dict[interface]: interface_dict[interface]['ipv4'] = {} if address not in interface_dict[interface]['ipv4']: interface_dict[interface]['ipv4'][address] = {} interface_dict[interface]['ipv4'][address]\ ['ip'] = ip interface_dict[interface]['ipv4'][address]\ ['prefix_length'] = prefix_length if secondary: interface_dict[interface]['ipv4'][address]\ ['secondary'] = True if route_tag: interface_dict[interface]['ipv4'][address]\ ['route_tag'] = route_tag continue # MTU 1600 bytes, BW 768 Kbit, DLY 3330 usec # MTU 1500 bytes, BW 1000000 Kbit, DLY 10 usec, # MTU 1500 bytes, BW 1000000 Kbit m = p6.match(line) if m: mtu = int(m.groupdict()['mtu']) bandwidth = int(m.groupdict()['bandwidth']) if m.groupdict()['delay']: interface_dict[interface]['delay'] = int(m.groupdict()['delay']) interface_dict[interface]['mtu'] = mtu interface_dict[interface]['bandwidth'] = bandwidth continue # MTU 1500 bytes, BW 40000000 Kbit,, BW 40000000 Kbit, DLY 10 usec m = p6_1.match(line) if m: mtu = int(m.groupdict()['mtu']) bandwidth = int(m.groupdict()['bandwidth']) interface_dict[interface]['mtu'] = mtu interface_dict[interface]['bandwidth'] = bandwidth interface_dict[interface]['delay'] = int(m.groupdict()['delay']) continue # reliability 255/255, txload 1/255, rxload 1/255 m = p7.match(line) if m: reliability = m.groupdict()['reliability'] txload = m.groupdict()['txload'] rxload = m.groupdict()['rxload'] interface_dict[interface]['reliability'] = reliability interface_dict[interface]['txload'] = txload interface_dict[interface]['rxload'] = rxload continue #Encapsulation 802.1Q Virtual LAN, Vlan ID 10, medium is broadcast #Encapsulation 802.1Q Virtual LAN, Vlan ID 20, medium is p2p #Encapsulation ARPA, medium is broadcast m = p8.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() encapsulation = encapsulation.replace("802.1q virtual lan","dot1q") medium = m.groupdict()['medium'] if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation interface_dict[interface]['medium'] = medium continue m = p8_1.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() encapsulation = encapsulation.replace("802.1q virtual lan","dot1q") first_dot1q = str(m.groupdict()['first_dot1q']) medium = m.groupdict()['medium'] if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation interface_dict[interface]['encapsulations']\ ['first_dot1q'] = first_dot1q interface_dict[interface]['medium'] = medium continue # Encapsulation ARPA, loopback not set m = p8_2.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation continue #Port mode is routed m = p9.match(line) if m: port_mode = m.groupdict()['port_mode'] interface_dict[interface]['port_mode'] = port_mode continue # auto-duplex, auto-speed m = p10_1.match(line) if m: # not caring for this line continue #full-duplex, 1000 Mb/s # auto-duplex, auto-speed # full-duplex, 1000 Mb/s, media type is 1G # auto-duplex, auto-speed, media type is 10G m = p10.match(line) if m: duplex_mode = m.groupdict()['duplex_mode'].lower() port_speed = m.groupdict()['port_speed'] if m.groupdict()['media_type']: interface_dict[interface]['media_type'] = m.groupdict()['media_type'] else: media_type = None interface_dict[interface]['duplex_mode'] = duplex_mode interface_dict[interface]['port_speed'] = port_speed continue #Beacon is turned off m = p11.match(line) if m: beacon = m.groupdict()['beacon'] interface_dict[interface]['beacon'] = beacon continue #Auto-Negotiation is turned off m = p12.match(line) if m: auto_negotiation = m.groupdict()['auto_negotiate'] interface_dict[interface]['auto_negotiate'] = False continue #Auto-Negotiation is turned on m = p12_1.match(line) if m: auto_negotiation = m.groupdict()['auto_negotiate'] interface_dict[interface]['auto_negotiate'] = True continue #Input flow-control is off, output flow-control is off m = p13.match(line) if m: receive = m.groupdict()['receive'] send = m.groupdict()['send'] if 'flow_control' not in interface_dict[interface]: interface_dict[interface]['flow_control'] = {} interface_dict[interface]['flow_control']['receive'] = False interface_dict[interface]['flow_control']['send'] = False continue #Input flow-control is off, output flow-control is on m = p13_1.match(line) if m: receive = m.groupdict()['receive'] send = m.groupdict()['send'] if 'flow_control' not in interface_dict[interface]: interface_dict[interface]['flow_control'] = {} interface_dict[interface]['flow_control']['receive'] = True interface_dict[interface]['flow_control']['send'] = True continue #Auto-mdix is turned off m = p14.match(line) if m: auto_mdix = m.groupdict()['auto_mdix'] interface_dict[interface]['auto_mdix'] = auto_mdix continue #Switchport monitor is off m = p15.match(line) if m: switchport_monitor = m.groupdict()['switchport_monitor'] interface_dict[interface]['switchport_monitor'] = switchport_monitor continue #EtherType is 0x8100 m = p16.match(line) if m: ethertype = m.groupdict()['ethertype'] interface_dict[interface]['ethertype'] = ethertype continue # Members in this channel: Eth1/15, Eth1/16 # Members in this channel: Eth1/28 m = p38.match(line) if m: port_channel_member_intfs = m.groupdict()['port_channel_member_intfs'] if port_channel_member_intfs: if 'port_channel' not in interface_dict[interface]: interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = True interface_dict[interface]['port_channel']\ ['port_channel_member_intfs'] = [Common.convert_intf_name(item) \ for item in port_channel_member_intfs.split(',')] continue #EEE (efficient-ethernet) : n/a m = p17.match(line) if m: efficient_ethernet = m.groupdict()['efficient_ethernet'] interface_dict[interface]['efficient_ethernet'] = efficient_ethernet continue #Last link flapped 00:07:28 m = p18.match(line) if m: last_link_flapped = m.groupdict()['last_link_flapped'] interface_dict[interface]['last_link_flapped']\ = last_link_flapped continue # Last clearing of "show interface" counters never m = p19.match(line) if m: last_clear = m.groupdict()['last_clear'] continue # Last clearing of "" counters 00:15:42 m = p19_1.match(line) if m: last_clear = m.groupdict()['last_clear'] continue #1 interface resets m = p20.match(line) if m: interface_reset = int(m.groupdict()['interface_reset']) interface_dict[interface]['interface_reset'] = interface_reset continue # 1 minute input rate 0 bits/sec, 0 packets/sec m = p21.match(line) if m: load_interval = int(m.groupdict()['load_interval']) in_rate = int(m.groupdict()['in_rate']) in_rate_pkts = int(m.groupdict()['in_rate_pkts']) if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} if 'rate' not in interface_dict[interface]['counters']: interface_dict[interface]['counters']['rate'] = {} interface_dict[interface]['counters']['rate']\ ['load_interval'] = load_interval interface_dict[interface]['counters']['rate']\ ['in_rate'] = in_rate interface_dict[interface]['counters']['rate']\ ['in_rate_pkts'] = in_rate_pkts continue #1 minute output rate 24 bits/sec, 0 packets/sec m = p22.match(line) if m: load_interval = int(m.groupdict()['load_interval']) out_rate = int(m.groupdict()['out_rate']) out_rate_pkts = int(m.groupdict()['out_rate_pkts']) interface_dict[interface]['counters']['rate']\ ['load_interval'] = load_interval interface_dict[interface]['counters']['rate']\ ['out_rate'] = out_rate interface_dict[interface]['counters']['rate']\ ['out_rate_pkts'] = out_rate_pkts continue #input rate 0 bps, 0 pps; output rate 0 bps, 0 pps m = p23.match(line) if m: in_rate_bps = int(m.groupdict()['in_rate_bps']) in_rate_pps = int(m.groupdict()['in_rate_pps']) out_rate_bps = int(m.groupdict()['out_rate_bps']) out_rate_pps = int(m.groupdict()['out_rate_pps']) if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} if 'rate' not in interface_dict[interface]['counters']: interface_dict[interface]['counters']['rate'] = {} interface_dict[interface]['counters']['rate']\ ['in_rate_bps'] = in_rate_bps interface_dict[interface]['counters']['rate']\ ['in_rate_pps'] = in_rate_pps interface_dict[interface]['counters']['rate']\ ['out_rate_bps'] = out_rate_bps interface_dict[interface]['counters']['rate']\ ['out_rate_pps'] = out_rate_pps continue # RX m = p23_1.match(line) if m: rx = m.groupdict()['rx'] if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['rx'] = True continue if rx: #0 unicast packets 0 multicast packets 0 broadcast packets m = p24.match(line) if m: in_unicast_pkts = int(m.groupdict()['in_unicast_pkts']) in_multicast_pkts = int(m.groupdict()['in_multicast_pkts']) in_broadcast_pkts = int(m.groupdict()['in_broadcast_pkts']) interface_dict[interface]['counters']['in_unicast_pkts'] = in_unicast_pkts interface_dict[interface]['counters']['in_multicast_pkts'] = in_multicast_pkts interface_dict[interface]['counters']['in_broadcast_pkts'] = in_broadcast_pkts try: interface_dict[interface]['counters']['last_clear'] = last_clear except Exception: pass continue # 0 input packets 0 bytes # 607382344 input packets 445986207 unicast packets 132485585 multicast packets m = p25.match(line) if m: group = m.groupdict() if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['in_pkts'] = int(group['in_pkts']) if group['in_octets']: interface_dict[interface]['counters']['in_octets'] = int(group['in_octets']) if group['in_unicast_pkts']: interface_dict[interface]['counters']['in_unicast_pkts'] = int(group['in_unicast_pkts']) if group['in_multicast_pkts']: interface_dict[interface]['counters']['in_multicast_pkts'] = int(group['in_multicast_pkts']) continue # 28910552 broadcast packets 63295517997 bytes m = p39.match(line) if m: in_octets = int(m.groupdict()['in_octets']) interface_dict[interface]['counters']['in_octets'] = in_octets in_broadcast_pkts = int(m.groupdict()['in_broadcast_pkts']) interface_dict[interface]['counters']['in_broadcast_pkts'] = in_broadcast_pkts #0 jumbo packets 0 storm suppression packets m = p26.match(line) if m: in_jumbo_packets = int(m.groupdict()['in_jumbo_packets']) in_storm_suppression_packets = int(m.groupdict()['in_storm_suppression_packets']) interface_dict[interface]['counters']['in_jumbo_packets']= in_jumbo_packets interface_dict[interface]['counters']\ ['in_storm_suppression_packets'] = in_storm_suppression_packets continue #0 runts 0 giants 0 CRC/FCS 0 no buffer #0 runts 0 giants 0 CRC 0 no buffer m = p27.match(line) if m: interface_dict[interface]['counters']['in_runts'] = int(m.groupdict()['in_runts']) interface_dict[interface]['counters']['in_oversize_frame'] = int(m.groupdict()['in_oversize_frame']) interface_dict[interface]['counters']['in_crc_errors'] = int(m.groupdict()['in_crc_errors']) interface_dict[interface]['counters']['in_no_buffer'] = int(m.groupdict()['in_no_buffer']) continue #0 input error 0 short frame 0 overrun 0 underrun 0 ignored m = p28.match(line) if m: interface_dict[interface]['counters']['in_errors'] = int(m.groupdict()['in_errors']) interface_dict[interface]['counters']['in_short_frame'] = int(m.groupdict()['in_short_frame']) interface_dict[interface]['counters']['in_overrun'] = int(m.groupdict()['in_overrun']) interface_dict[interface]['counters']['in_underrun'] = int(m.groupdict()['in_underrun']) interface_dict[interface]['counters']['in_ignored'] = int(m.groupdict()['in_ignored']) continue #0 watchdog 0 bad etype drop 0 bad proto drop 0 if down drop m = p29.match(line) if m: interface_dict[interface]['counters']['in_watchdog'] = int(m.groupdict()['in_watchdog']) interface_dict[interface]['counters']['in_bad_etype_drop'] = int(m.groupdict()['in_bad_etype_drop']) interface_dict[interface]['counters']['in_unknown_protos'] = int(m.groupdict()['in_unknown_protos']) interface_dict[interface]['counters']['in_if_down_drop'] = int(m.groupdict()['in_if_down_drop']) continue # 0 input with dribble 0 input discard m = p30.match(line) if m: in_with_dribble = int(m.groupdict()['in_with_dribble']) in_discard = int(m.groupdict()['in_discard']) interface_dict[interface]['counters']['in_with_dribble'] = in_with_dribble interface_dict[interface]['counters']['in_discard'] = in_discard continue # 0 Rx pause m = p31.match(line) if m: in_mac_pause_frames = int(m.groupdict()['in_mac_pause_frames']) interface_dict[interface]['counters']['in_mac_pause_frames'] = in_mac_pause_frames continue # TX m = p31_1.match(line) if m: rx = False tx = m.groupdict()['tx'] if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['tx'] = True continue if tx: #0 unicast packets 0 multicast packets 0 broadcast packets m = p32.match(line) if m: interface_dict[interface]['counters']['out_unicast_pkts'] = int(m.groupdict()['out_unicast_pkts']) interface_dict[interface]['counters']['out_multicast_pkts'] = int(m.groupdict()['out_multicast_pkts']) interface_dict[interface]['counters']['out_broadcast_pkts'] = int(m.groupdict()['out_broadcast_pkts']) continue #0 output packets 0 bytes m = p33.match(line) if m: out_pkts = int(m.groupdict()['out_pkts']) out_octets = int(m.groupdict()['out_octets']) interface_dict[interface]['counters']['out_pkts'] = out_pkts interface_dict[interface]['counters']['out_octets'] = out_octets continue #0 jumbo packets m = p34.match(line) if m: out_jumbo_packets = int(m.groupdict()['out_jumbo_packets']) interface_dict[interface]['counters']['out_jumbo_packets'] = out_jumbo_packets continue #0 output error 0 collision 0 deferred 0 late collision m = p35.match(line) if m: interface_dict[interface]['counters']['out_errors'] = int(m.groupdict()['out_errors']) interface_dict[interface]['counters']['out_collision'] = int(m.groupdict()['out_collision']) interface_dict[interface]['counters']['out_deferred'] = int(m.groupdict()['out_deferred']) interface_dict[interface]['counters']['out_late_collision'] = int(m.groupdict()['out_late_collision']) continue #0 lost carrier 0 no carrier 0 babble 0 output discard m = p36.match(line) if m: interface_dict[interface]['counters']['out_lost_carrier'] = int(m.groupdict()['out_lost_carrier']) interface_dict[interface]['counters']['out_no_carrier'] = int(m.groupdict()['out_no_carrier']) interface_dict[interface]['counters']['out_babble'] = int(m.groupdict()['out_babble']) interface_dict[interface]['counters']['out_discard'] = int(m.groupdict()['out_discard']) continue #0 Tx pause m = p37.match(line) if m: out_mac_pause_frames = int(m.groupdict()['out_mac_pause_frames']) interface_dict[interface]['counters']['out_mac_pause_frames'] = out_mac_pause_frames continue return interface_dict # =================================== # Schema for 'show interface vrf all' # =================================== class ShowIpInterfaceVrfAllSchema(MetaParser): """Schema for show ip interface vrf all""" schema = { Any(): {'vrf': str, 'interface_status': str, 'iod': int, Optional('ipv4'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('secondary'): bool, Optional('route_tag'): str, Optional('ip_subnet'): str, Optional('broadcast_address'): str, Optional('route_preference'): str, }, Optional('unnumbered'): {'interface_ref': str, }, 'counters': {'unicast_packets_sent': int, 'unicast_packets_received': int, 'unicast_packets_forwarded': int, 'unicast_packets_originated': int, 'unicast_packets_consumed': int, 'unicast_bytes_sent': int, 'unicast_bytes_received': int, 'unicast_bytes_forwarded': int, 'unicast_bytes_originated': int, 'unicast_bytes_consumed': int, 'multicast_packets_sent': int, 'multicast_packets_received': int, 'multicast_packets_forwarded': int, 'multicast_packets_originated': int, 'multicast_packets_consumed': int, 'multicast_bytes_sent': int, 'multicast_bytes_received': int, 'multicast_bytes_forwarded': int, 'multicast_bytes_originated': int, 'multicast_bytes_consumed': int, 'broadcast_packets_sent': int, 'broadcast_packets_received': int, 'broadcast_packets_forwarded': int, 'broadcast_packets_originated': int, 'broadcast_packets_consumed': int, 'broadcast_bytes_sent': int, 'broadcast_bytes_received': int, 'broadcast_bytes_forwarded': int, 'broadcast_bytes_originated': int, 'broadcast_bytes_consumed': int, 'labeled_packets_sent': int, 'labeled_packets_received': int, 'labeled_packets_forwarded': int, 'labeled_packets_originated': int, 'labeled_packets_consumed': int, 'labeled_bytes_sent': int, 'labeled_bytes_received': int, 'labeled_bytes_forwarded': int, 'labeled_bytes_originated': int, 'labeled_bytes_consumed': int, }, }, Optional('multicast_groups'): list, Optional('multicast_groups_address'): str, 'ip_mtu': int, 'proxy_arp': str, 'local_proxy_arp': str, 'multicast_routing': str, 'icmp_redirects': str, 'directed_broadcast': str, Optional('ip_forwarding'): str, 'icmp_unreachable': str, 'icmp_port_unreachable': str, 'unicast_reverse_path': str, 'load_sharing': str, 'int_stat_last_reset': str, 'wccp_redirect_outbound': str, 'wccp_redirect_inbound': str, 'wccp_redirect_exclude': str }, } # =================================== # Parser for 'show interface vrf all' # =================================== class ShowIpInterfaceVrfAll(ShowIpInterfaceVrfAllSchema): """Parser for show ip interface vrf all show ip interface vrf <vrf> show ip interface <interface> vrf all show ip interface <interface> vrf <vrf>""" cli_command = ['show ip interface {interface} vrf {vrf}', 'show ip interface {interface} vrf all', 'show ip interface vrf {vrf}', 'show ip interface vrf all'] exclude = [ 'multicast_bytes_consumed', 'multicast_bytes_received', 'unicast_bytes_consumed', 'unicast_packets_consumed', 'unicast_bytes_originated', 'unicast_packets_originated', 'unicast_bytes_received', 'unicast_bytes_sent', 'unicast_packets_received', 'unicast_packets_sent', 'multicast_packets_consumed', 'multicast_packets_received', 'multicast_bytes_originated', 'multicast_bytes_sent', 'multicast_packets_originated', 'multicast_packets_sent', 'broadcast_bytes_consumed', 'broadcast_bytes_received', 'broadcast_packets_consumed', 'broadcast_packets_received', 'multicast_groups', 'int_stat_last_reset', 'unicast_bytes_forwarded', 'unicast_packets_forwarded', 'oil_uptime', 'iod', '(tunnel.*)', 'multicast_groups_address'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output del interface # delete this to prevent use from below due to scope ip_interface_vrf_all_dict = {} temp_intf = [] for line in out.splitlines(): line = line.rstrip() # IP Interface Status for VRF "VRF1" p1 = re.compile(r'^\s*IP *Interface *Status *for *VRF' ' *(?P<vrf>\S+)$') m = p1.match(line) if m: vrf = m.groupdict()['vrf'] vrf = vrf.replace('"',"") continue #Ethernet2/1, Interface status: protocol-up/link-up/admin-up, iod: 36, p2 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\-\.]+), *Interface' ' *status: *(?P<interface_status>[a-z\-\/\s]+),' ' *iod: *(?P<iod>[0-9]+),$') m = p2.match(line) if m: interface = m.groupdict()['interface'] interface_status = m.groupdict()['interface_status'] iod = int(m.groupdict()['iod']) if interface not in ip_interface_vrf_all_dict: ip_interface_vrf_all_dict[interface] = {} ip_interface_vrf_all_dict[interface]['interface_status']\ = interface_status ip_interface_vrf_all_dict[interface]['iod'] = iod ip_interface_vrf_all_dict[interface]['vrf'] = vrf #init multicast groups list to empty for this interface multicast_groups = [] unnumbered_intf = None # unnumbered interface didn't share the same information temp_intf = None # check if the ipv4 and address already assgined during the unnumbered block if 'ipv4' in ip_interface_vrf_all_dict[interface]: for key in ip_interface_vrf_all_dict[interface]['ipv4'].keys(): if re.match('^\d+.\d+.\d+.\d+\/\d+', key): address = key continue # Unnumbered interfaces of loopback0: first iod 46 p2_1 = re.compile(r'^\s*Unnumbered +interfaces +of +(?P<unnumbered_intf>[\w\.\/]+): *' 'first +iod +(?P<first_iod>\d+)$') m = p2_1.match(line) if m: unnumbered_intf = m.groupdict()['unnumbered_intf'] continue # Ethernet2/11: # mti18: tunnel-te11: tunnel-te12: p2_2 = re.compile(r'(([E|e]thernet|[L|l]oopback|[T|t]unnel|[V|v]lan|mti|[t|T]unnel-te|[p|P]ort-channel)[\d\/\.]+):') m = p2_2.findall(line) if m and unnumbered_intf: temp_intf = [] temp_intf = [i[0] for i in m] for intf in temp_intf: if intf not in ip_interface_vrf_all_dict: ip_interface_vrf_all_dict[intf] = {} continue # IP address: 10.4.4.4, IP subnet: 10.4.4.0/24 secondary # IP address: 10.64.4.4, IP subnet: 10.64.4.0/24 p3 = re.compile(r'^\s*IP *address: *(?P<ip>[0-9\.]+), *IP' ' *subnet: *(?P<ip_subnet>[a-z0-9\.]+)\/' '(?P<prefix_length>[0-9]+)' ' *(?P<secondary>(secondary))?$') m = p3.match(line) if m: ip = m.groupdict()['ip'] ip_subnet = m.groupdict()['ip_subnet'] prefix_length = m.groupdict()['prefix_length'] secondary = m.groupdict()['secondary'] address = ip + '/' + prefix_length if temp_intf: temp_intf.append(interface) intf_lst = temp_intf else: intf_lst = [interface] for intf in intf_lst: if 'ipv4' not in ip_interface_vrf_all_dict[intf]: ip_interface_vrf_all_dict[intf]['ipv4'] = {} if address not in ip_interface_vrf_all_dict[intf]['ipv4']: ip_interface_vrf_all_dict[intf]['ipv4'][address] = {} ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip'] = ip ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip_subnet'] = ip_subnet ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['prefix_length'] = prefix_length if secondary: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['secondary'] = True else: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['secondary'] = False continue # IP address: 192.168.106.1, IP subnet: 192.168.106.0/24 route-preference: 0, tag: 0 p3_1 = re.compile(r'^\s*IP *address: *(?P<ip>[0-9\.]+), *IP' ' *subnet: *(?P<ip_subnet>[a-z0-9\.]+)\/' '(?P<prefix_length>[0-9\,]+)(?: *route-preference:' ' *(?P<route_preference>[0-9]+),)?(?: *tag:' ' *(?P<route_tag>[0-9]+))?$') m = p3_1.match(line) if m: ip = m.groupdict()['ip'] ip_subnet = m.groupdict()['ip_subnet'] prefix_length = m.groupdict()['prefix_length'] route_tag = m.groupdict()['route_tag'] route_preference = m.groupdict()['route_preference'] address = ip + '/' + prefix_length if temp_intf: temp_intf.append(interface) intf_lst = temp_intf # unnumbered interface didn't share the same information temp_intf = None else: intf_lst = [interface] for intf in intf_lst: if 'ipv4' not in ip_interface_vrf_all_dict[intf]: ip_interface_vrf_all_dict[intf]['ipv4'] = {} if address not in ip_interface_vrf_all_dict[intf]['ipv4']: ip_interface_vrf_all_dict[intf]['ipv4'][address] = {} ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip'] = ip ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip_subnet'] = ip_subnet ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['prefix_length'] = prefix_length if route_tag: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['route_tag'] = route_tag if route_preference: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['route_preference'] = route_preference continue #IP broadcast address: 255.255.255.255 p4 = re.compile(r'^\s*IP *broadcast *address:' ' *(?P<broadcast_address>[0-9\.]+)$') m = p4.match(line) if m: broadcast_address = str(m.groupdict()['broadcast_address']) if 'ipv4' in ip_interface_vrf_all_dict[interface]: ip_interface_vrf_all_dict[interface]['ipv4'][address]['broadcast_address'] = broadcast_address continue #IP multicast groups locally joined: none #224.0.0.6 224.0.0.5 224.0.0.2 p5 = re.compile(r'^\s*IP *multicast *groups *locally *joined:' ' *(?P<multicast_groups_address>[a-z]+)$') m = p5.match(line) if m: multicast_groups_address = m.groupdict()['multicast_groups_address'] ip_interface_vrf_all_dict[interface]['multicast_groups_address']\ = multicast_groups_address continue #224.0.0.6 224.0.0.5 224.0.0.2 p5_1 = re.compile(r'^\s*(?P<multicast_groups_address>[a-z0-9\.\s]+)$') m = p5_1.match(line) if m: multicast_groups_address = str(m.groupdict()['multicast_groups_address']) #Split string of addressed into a list multicast_groups_address = [str(i) for i in multicast_groups_address.split()] #Add to previous created list for mgroup in multicast_groups_address: multicast_groups.append(mgroup) ip_interface_vrf_all_dict[interface]['multicast_groups']\ = sorted(multicast_groups) continue #IP MTU: 1600 bytes (using link MTU) p6 = re.compile(r'^\s*IP *MTU: *(?P<ip_mtu>[0-9]+)' ' *bytes *$using *link *MTU$$') m = p6.match(line) if m: ip_mtu = int(m.groupdict()['ip_mtu']) ip_interface_vrf_all_dict[interface]['ip_mtu'] = ip_mtu continue #IP primary address route-preference: 0, tag: 0 p7 = re.compile(r'^\s*IP *primary *address *route-preference:' ' *(?P<route_preference>[0-9]+), *tag:' ' *(?P<route_tag>[0-9]+)$') m = p7.match(line) if m: route_preference = m.groupdict()['route_preference'] route_tag = m.groupdict()['route_tag'] if route_preference: ip_interface_vrf_all_dict[interface]['ipv4'][address]['route_preference']\ = route_preference if route_tag: ip_interface_vrf_all_dict[interface]['ipv4'][address]\ ['route_tag'] = route_tag continue #IP proxy ARP : disabled p8 = re.compile(r'^\s*IP *proxy *ARP *: *(?P<proxy_arp>[a-z]+)$') m = p8.match(line) if m: proxy_arp = m.groupdict()['proxy_arp'] ip_interface_vrf_all_dict[interface]['proxy_arp'] = proxy_arp continue #IP Local Proxy ARP : disabled p9 = re.compile(r'^\s*IP *Local *Proxy *ARP *:' ' *(?P<local_proxy_arp>[a-z]+)$') m = p9.match(line) if m: local_proxy_arp = m.groupdict()['local_proxy_arp'] ip_interface_vrf_all_dict[interface]['local_proxy_arp']\ = local_proxy_arp continue #IP multicast routing: disabled p10 = re.compile(r'^\s*IP *multicast *routing:' ' *(?P<multicast_routing>[a-z]+)$') m = p10.match(line) if m: multicast_routing = m.groupdict()['multicast_routing'] ip_interface_vrf_all_dict[interface]['multicast_routing']\ = multicast_routing continue #IP icmp redirects: disabled p11 = re.compile(r'^\s*IP *icmp *redirects:' ' *(?P<icmp_redirects>[a-z]+)$') m = p11.match(line) if m: icmp_redirects = m.groupdict()['icmp_redirects'] ip_interface_vrf_all_dict[interface]['icmp_redirects']\ = icmp_redirects continue #IP directed-broadcast: disabled p12 = re.compile(r'^\s*IP directed-broadcast:' ' *(?P<directed_broadcast>[a-z]+)$') m = p12.match(line) if m: directed_broadcast = m.groupdict()['directed_broadcast'] ip_interface_vrf_all_dict[interface]['directed_broadcast']\ = directed_broadcast continue #IP Forwarding: disabled p13 = re.compile(r'^\s*IP *Forwarding: *(?P<ip_forwarding>[a-z]+)$') m = p13.match(line) if m: ip_forwarding = m.groupdict()['ip_forwarding'] ip_interface_vrf_all_dict[interface]['ip_forwarding']\ = ip_forwarding continue #IP icmp unreachables (except port): disabled p14 = re.compile(r'^\s*IP *icmp *unreachables *$except *port$:' ' *(?P<icmp_unreachable>[a-z]+)$') m = p14.match(line) if m: icmp_unreachable = m.groupdict()['icmp_unreachable'] ip_interface_vrf_all_dict[interface]['icmp_unreachable']\ = icmp_unreachable continue #IP icmp port-unreachable: enabled p15 = re.compile(r'^\s*IP *icmp *port-unreachable:' ' *(?P<icmp_port_unreachable>[a-z]+)$') m = p15.match(line) if m: icmp_port_unreachable = m.groupdict()['icmp_port_unreachable'] ip_interface_vrf_all_dict[interface]['icmp_port_unreachable']\ = icmp_port_unreachable continue #IP unicast reverse path forwarding: none p16 = re.compile(r'^\s*IP *unicast *reverse *path *forwarding:' ' *(?P<unicast_reverse_path>\w+)$') m = p16.match(line) if m: unicast_reverse_path = m.groupdict()['unicast_reverse_path'] ip_interface_vrf_all_dict[interface]['unicast_reverse_path']\ = unicast_reverse_path continue #IP load sharing: none p17 = re.compile(r'^\s*IP *load *sharing: *(?P<load_sharing>\w+)$') m = p17.match(line) if m: load_sharing = m.groupdict()['load_sharing'] ip_interface_vrf_all_dict[interface]['load_sharing']\ = load_sharing continue #IP interface statistics last reset: never p18 = re.compile(r'^\s*IP *interface *statistics *last *reset:' ' *(?P<int_stat_last_reset>[a-zA-Z0-9\:]+)') m = p18.match(line) if m: int_stat_last_reset = m.groupdict()['int_stat_last_reset'] ip_interface_vrf_all_dict[interface]['int_stat_last_reset']\ = int_stat_last_reset continue # IP interface software stats: (sent/received/forwarded/originated/consumed) # Unicast packets : 0/0/0/0/0 # Unicast bytes : 0/0/0/0/0 # Multicast packets : 0/0/0/0/0 # Multicast bytes : 0/0/0/0/0 # Broadcast packets : 0/0/0/0/0 # Broadcast bytes : 0/0/0/0/0 # Labeled packets : 0/0/0/0/0 # Labeled bytes : 0/0/0/0/0 try: interface except Exception: continue if 'ipv4' in ip_interface_vrf_all_dict[interface]: #Unicast packets : 0/0/0/0/0 p20 = re.compile(r'^\s*Unicast *packets *:' ' *(?P<unicast_packets_sent>[0-9]+)\/' '(?P<unicast_packets_received>[0-9]+)\/' '(?P<unicast_packets_forwarded>[0-9]+)\/' '(?P<unicast_packets_originated>[0-9]+)\/' '(?P<unicast_packets_consumed>[0-9]+)$') m = p20.match(line) if m: if 'counters' not in ip_interface_vrf_all_dict[interface]['ipv4'][address]: ip_interface_vrf_all_dict[interface]['ipv4']['counters'] = {} ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_sent']= int(m.groupdict()['unicast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_received']= int(m.groupdict()['unicast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_forwarded']= int(m.groupdict()['unicast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_originated']= int(m.groupdict()['unicast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_consumed']= int(m.groupdict()['unicast_packets_consumed']) continue #Unicast bytes : 0/0/0/0/0 p21 = re.compile(r'^\s*Unicast *bytes *:' ' *(?P<unicast_bytes_sent>[0-9]+)\/' '(?P<unicast_bytes_received>[0-9]+)\/' '(?P<unicast_bytes_forwarded>[0-9]+)\/' '(?P<unicast_bytes_originated>[0-9]+)\/' '(?P<unicast_bytes_consumed>[0-9]+)$') m = p21.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_sent']= int(m.groupdict()['unicast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_received']= int(m.groupdict()['unicast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_forwarded']= int(m.groupdict()['unicast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_originated']= int(m.groupdict()['unicast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_consumed']= int(m.groupdict()['unicast_bytes_consumed']) continue #Multicast packets : 0/0/0/0/0 p22 = re.compile(r'^\s*Multicast *packets *:' ' *(?P<multicast_packets_sent>[0-9]+)\/' '(?P<multicast_packets_received>[0-9]+)\/' '(?P<multicast_packets_forwarded>[0-9]+)\/' '(?P<multicast_packets_originated>[0-9]+)\/' '(?P<multicast_packets_consumed>[0-9]+)$') m = p22.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_sent']= int(m.groupdict()['multicast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_received']= int(m.groupdict()['multicast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_forwarded']= int(m.groupdict()['multicast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_originated']= int(m.groupdict()['multicast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_consumed']= int(m.groupdict()['multicast_packets_consumed']) continue #Multicast bytes : 0/0/0/0/0 p23 = re.compile(r'^\s*Multicast *bytes *:' ' *(?P<multicast_bytes_sent>[0-9]+)\/' '(?P<multicast_bytes_received>[0-9]+)\/' '(?P<multicast_bytes_forwarded>[0-9]+)\/' '(?P<multicast_bytes_originated>[0-9]+)\/' '(?P<multicast_bytes_consumed>[0-9]+)$') m = p23.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_sent']= int(m.groupdict()['multicast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_received']= int(m.groupdict()['multicast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_forwarded']= int(m.groupdict()['multicast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_originated']= int(m.groupdict()['multicast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_consumed']= int(m.groupdict()['multicast_bytes_consumed']) continue #Broadcast packets : 0/0/0/0/0 p24 = re.compile(r'^\s*Broadcast *packets *:' ' *(?P<broadcast_packets_sent>[0-9]+)\/' '(?P<broadcast_packets_received>[0-9]+)\/' '(?P<broadcast_packets_forwarded>[0-9]+)\/' '(?P<broadcast_packets_originated>[0-9]+)\/' '(?P<broadcast_packets_consumed>[0-9]+)$') m = p24.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_sent']= int(m.groupdict()['broadcast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_received']= int(m.groupdict()['broadcast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_forwarded']= int(m.groupdict()['broadcast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_originated']= int(m.groupdict()['broadcast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_consumed']= int(m.groupdict()['broadcast_packets_consumed']) continue #Broadcast bytes : 0/0/0/0/0 p25 = re.compile(r'^\s*Broadcast *bytes *:' ' *(?P<broadcast_bytes_sent>[0-9]+)\/' '(?P<broadcast_bytes_received>[0-9]+)\/' '(?P<broadcast_bytes_forwarded>[0-9]+)\/' '(?P<broadcast_bytes_originated>[0-9]+)\/' '(?P<broadcast_bytes_consumed>[0-9]+)$') m = p25.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_sent']= int(m.groupdict()['broadcast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_received']= int(m.groupdict()['broadcast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_forwarded']= int(m.groupdict()['broadcast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_originated']= int(m.groupdict()['broadcast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_consumed']= int(m.groupdict()['broadcast_bytes_consumed']) continue #Labeled packets : 0/0/0/0/0 p26 = re.compile(r'^\s*Labeled *packets *:' ' *(?P<labeled_packets_sent>[0-9]+)\/' '(?P<labeled_packets_received>[0-9]+)\/' '(?P<labeled_packets_forwarded>[0-9]+)\/' '(?P<labeled_packets_originated>[0-9]+)\/' '(?P<labeled_packets_consumed>[0-9]+)$') m = p26.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_sent']= int(m.groupdict()['labeled_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_received']= int(m.groupdict()['labeled_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_forwarded']= int(m.groupdict()['labeled_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_originated']= int(m.groupdict()['labeled_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_consumed']= int(m.groupdict()['labeled_packets_consumed']) continue #Labeled bytes : 0/0/0/0/0 p27 = re.compile(r'^\s*Labeled *bytes *:' ' *(?P<labeled_bytes_sent>[0-9]+)\/' '(?P<labeled_bytes_received>[0-9]+)\/' '(?P<labeled_bytes_forwarded>[0-9]+)\/' '(?P<labeled_bytes_originated>[0-9]+)\/' '(?P<labeled_bytes_consumed>[0-9]+)$') m = p27.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_sent']= int(m.groupdict()['labeled_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_received']= int(m.groupdict()['labeled_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_forwarded']= int(m.groupdict()['labeled_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_originated']= int(m.groupdict()['labeled_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_consumed']= int(m.groupdict()['labeled_bytes_consumed']) continue #WCCP Redirect outbound: disabled p28 = re.compile(r'^\s*WCCP *Redirect *outbound:' ' *(?P<wccp_redirect_outbound>[a-z]+)$') m = p28.match(line) if m: wccp_redirect_outbound = m.groupdict()['wccp_redirect_outbound'] ip_interface_vrf_all_dict[interface]['wccp_redirect_outbound']\ = wccp_redirect_outbound continue #WCCP Redirect inbound: disabled p29 = re.compile(r'^\s*WCCP *Redirect *inbound:' ' *(?P<wccp_redirect_inbound>[a-z]+)$') m = p29.match(line) if m: wccp_redirect_inbound = m.groupdict()['wccp_redirect_inbound'] ip_interface_vrf_all_dict[interface]['wccp_redirect_inbound']\ = wccp_redirect_inbound continue #WCCP Redirect exclude: disabled p30 = re.compile(r'^\s*WCCP *Redirect *exclude:' ' *(?P<wccp_redirect_exclude>[a-z]+)$') m = p30.match(line) if m: wccp_redirect_exclude = m.groupdict()['wccp_redirect_exclude'] ip_interface_vrf_all_dict[interface]['wccp_redirect_exclude']\ = wccp_redirect_exclude continue # IP unnumbered interface (loopback0) p31 = re.compile(r'^\s*IP +unnumbered +interface +$(?P<unnum_intf>[\w\/\.]+)$$') m = p31.match(line) if m: unnum_intf = m.groupdict()['unnum_intf'] if 'ipv4' in ip_interface_vrf_all_dict[interface]: ip_interface_vrf_all_dict[interface]['ipv4']['unnumbered'] = {} ip_interface_vrf_all_dict[interface]['ipv4']['unnumbered']['interface_ref']\ = unnum_intf continue return ip_interface_vrf_all_dict # =================================== # Schema for 'show vrf all interface' # =================================== class ShowVrfAllInterfaceSchema(MetaParser): """Schema for show vrf all interface""" schema = { Any(): {'vrf': str, 'vrf_id': int, 'site_of_origin': str }, } # =================================== # Parser for 'show vrf all interface' # =================================== class ShowVrfAllInterface(ShowVrfAllInterfaceSchema): """Parser for show vrf all interface show vrf <vrf> interface <interface> show vrf <vrf> interface show vrf all interface <interface>""" cli_command = ['show vrf {vrf} interface {interface}', 'show vrf all interface {interface}', 'show vrf {vrf} interface', 'show vrf all interface'] exclude = [ '(Null.*)'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output vrf_all_interface_dict = {} for line in out.splitlines(): line = line.rstrip() # Interface VRF-Name VRF-ID Site-of-Origin # Ethernet2/1 VRF1 3 -- # Null0 default 1 -- # Ethernet2/1.10 default 1 -- # Ethernet2/1.20 default 1 -- # Ethernet2/4 default 1 -- # Ethernet2/5 default 1 -- # Ethernet2/6 default 1 -- p1 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\.\/]+)' ' *(?P<vrf>[a-zA-Z0-9]+)' ' *(?P<vrf_id>[0-9]+)' ' *(?P<site_of_origin>[a-zA-Z\-]+)$') m = p1.match(line) if m: interface = m.groupdict()['interface'] vrf = m.groupdict()['vrf'] vrf_id = int(m.groupdict()['vrf_id']) site_of_origin = m.groupdict()['site_of_origin'] if interface not in vrf_all_interface_dict: vrf_all_interface_dict[interface] = {} vrf_all_interface_dict[interface]['vrf'] = vrf vrf_all_interface_dict[interface]['vrf_id'] = vrf_id vrf_all_interface_dict[interface]\ ['site_of_origin'] = site_of_origin return vrf_all_interface_dict # ====================================== # Schema for 'show interface switchport' # ====================================== class ShowInterfaceSwitchportSchema(MetaParser): """Schema for show interface switchport""" schema = { Any(): {'switchport_status': str, Optional('switchport_monitor'): str, Optional('switchport_mode'): str, Optional('access_vlan'): int, 'switchport_enable': bool, Optional('access_vlan_mode'): str, Optional('native_vlan'): int, Optional('native_vlan_mode'): str, Optional('trunk_vlans'): str, Optional('admin_priv_vlan_primary_host_assoc'): str, Optional('admin_priv_vlan_secondary_host_assoc'): str, Optional('admin_priv_vlan_primary_mapping'): str, Optional('admin_priv_vlan_secondary_mapping'): str, Optional('admin_priv_vlan_trunk_native_vlan'): str, Optional('admin_priv_vlan_trunk_encapsulation'): str, Optional('admin_priv_vlan_trunk_normal_vlans'): str, Optional('admin_priv_vlan_trunk_private_vlans'): str, Optional('operational_private_vlan'): str }, } # ====================================== # Parser for 'show interface switchport' # ====================================== class ShowInterfaceSwitchport(ShowInterfaceSwitchportSchema): """Parser for show interface switchport show interface <interface> switchport""" cli_command =['show interface switchport', 'show interface {interface} switchport'] def cli(self, interface="", output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output interface_switchport_dict = {} for line in out.splitlines(): line = line.rstrip() #Name: Ethernet2/2 p1 = re.compile(r'^\s*Name: *(?P<interface>[a-zA-Z0-9\/\-\.]+)$') m = p1.match(line) if m: interface = m.groupdict()['interface'] if interface not in interface_switchport_dict: interface_switchport_dict[interface] = {} continue #Switchport: Enabled p2 = re.compile(r'^\s*Switchport: *(?P<switchport_status>[a-zA-Z\s]+)$') m = p2.match(line) if m: switchport_status = m.groupdict()['switchport_status'].lower() interface_switchport_dict[interface]['switchport_status'] = switchport_status interface_switchport_dict[interface]['switchport_enable'] = True \ if 'enable' in switchport_status else False continue #Switchport Monitor: Not enabled p3 = re.compile(r'^\s*Switchport *Monitor: *(?P<switchport_monitor>[a-zA-Z\s]+)$') m = p3.match(line) if m: switchport_monitor = m.groupdict()['switchport_monitor'] interface_switchport_dict[interface]['switchport_monitor'] = switchport_monitor continue # Operational Mode: Private-vlan host p4 = re.compile(r'^\s*Operational *Mode: *(?P<switchport_mode>[\w\s-]+)$') m = p4.match(line) if m: interface_switchport_dict[interface]['switchport_mode'] = m.groupdict()['switchport_mode'] continue # Access Mode VLAN: 1 (default) # Access Mode VLAN: 7 (server-vlan7) # Access Mode VLAN: 551 (Test_VM_192.168.1.0/24) p5 = re.compile(r'^\s*Access *Mode *VLAN: *(?P<access_vlan>[0-9]+)' '(?: *$(?P<access_vlan_mode>[\S\s]+)$)?$') m = p5.match(line) if m: access_vlan = int(m.groupdict()['access_vlan']) access_vlan_mode = m.groupdict()['access_vlan_mode'] interface_switchport_dict[interface]\ ['access_vlan'] = access_vlan interface_switchport_dict[interface]\ ['access_vlan_mode'] = access_vlan_mode continue # Trunking Native Mode VLAN: 1 (default) # Trunking Native Mode VLAN: 200 (VLAN0200) # Trunking Native Mode VLAN: 3967 (Vlan not created) # Trunking Native Mode VLAN: 451 (VM_Machines_192.168.1.0/24) p6 = re.compile(r'^\s*Trunking *Native *Mode *VLAN:' ' *(?P<native_vlan>[0-9]+)' ' *$(?P<native_vlan_mode>[\S\s]+)$$') m = p6.match(line) if m: native_vlan = int(m.groupdict()['native_vlan']) native_vlan_mode = m.groupdict()['native_vlan_mode'] interface_switchport_dict[interface]\ ['native_vlan'] = native_vlan interface_switchport_dict[interface]\ ['native_vlan_mode'] = native_vlan_mode continue #Trunking VLANs Allowed: 100,300 p7 = re.compile(r'^\s*Trunking *VLANs *Allowed: *(?P<trunk_vlans>[0-9\,\-]+)$') m = p7.match(line) if m: trunk_vlans = m.groupdict()['trunk_vlans'] interface_switchport_dict[interface]['trunk_vlans'] = trunk_vlans continue # Administrative private-vlan primary host-association: 2000 p8 = re.compile(r'^\s*Administrative *private-vlan *primary' ' *host-association:' ' *(?P<admin_priv_vlan_primary_host_assoc>\w+)$') m = p8.match(line) if m: admin_priv_vlan_primary_host_assoc = m.groupdict()['admin_priv_vlan_primary_host_assoc'] interface_switchport_dict[interface]['admin_priv_vlan_primary_host_assoc'] = admin_priv_vlan_primary_host_assoc continue # Administrative private-vlan secondary host-association: 110 p9 = re.compile(r'^\s*Administrative *private-vlan *secondary' ' *host-association:' ' *(?P<admin_priv_vlan_secondary_host_assoc>\w+)$') m = p9.match(line) if m: admin_priv_vlan_secondary_host_assoc\ = m.groupdict()['admin_priv_vlan_secondary_host_assoc'] interface_switchport_dict[interface]\ ['admin_priv_vlan_secondary_host_assoc'] = admin_priv_vlan_secondary_host_assoc continue #Administrative private-vlan primary mapping: none p10 = re.compile(r'^\s*Administrative *private-vlan *primary' ' *mapping:' ' *(?P<admin_priv_vlan_primary_mapping>\w+)$') m = p10.match(line) if m: admin_priv_vlan_primary_mapping\ = m.groupdict()['admin_priv_vlan_primary_mapping'] interface_switchport_dict[interface]\ ['admin_priv_vlan_primary_mapping']\ = admin_priv_vlan_primary_mapping continue #Administrative private-vlan secondary mapping: none p11 = re.compile(r'^\s*Administrative *private-vlan *secondary' ' *mapping:' ' *(?P<admin_priv_vlan_secondary_mapping>\w+)$') m = p11.match(line) if m: admin_priv_vlan_secondary_mapping = m.groupdict()['admin_priv_vlan_secondary_mapping'] interface_switchport_dict[interface]\ ['admin_priv_vlan_secondary_mapping'] = admin_priv_vlan_secondary_mapping continue #Administrative private-vlan trunk native VLAN: 1 p12 = re.compile(r'^\s*Administrative *private-vlan *trunk *native' ' *VLAN:' ' *(?P<admin_priv_vlan_trunk_native_vlan>\w+)$') m = p12.match(line) if m: admin_priv_vlan_trunk_native_vlan = m.groupdict()['admin_priv_vlan_trunk_native_vlan'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_native_vlan'] = admin_priv_vlan_trunk_native_vlan continue #Administrative private-vlan trunk encapsulation: dot1q p13 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *encapsulation:' ' *(?P<admin_priv_vlan_trunk_encapsulation>[a-z0-9]+)$') m = p13.match(line) if m: admin_priv_vlan_trunk_encapsulation = m.groupdict()['admin_priv_vlan_trunk_encapsulation'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_encapsulation'] = admin_priv_vlan_trunk_encapsulation continue #Administrative private-vlan trunk normal VLANs: none p14 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *normal VLANs:' ' *(?P<admin_priv_vlan_trunk_normal_vlans>\w+)$') m = p14.match(line) if m: admin_priv_vlan_trunk_normal_vlans = m.groupdict()['admin_priv_vlan_trunk_normal_vlans'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_normal_vlans'] = admin_priv_vlan_trunk_normal_vlans continue # Administrative private-vlan trunk private VLANs: none # Administrative private-vlan trunk private VLANs: none(0 none) p15 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *private VLANs:' ' *(?P<admin_priv_vlan_trunk_private_vlans>\w+)(?P<dummy>.*)?$') m = p15.match(line) if m: admin_priv_vlan_trunk_private_vlans = m.groupdict()['admin_priv_vlan_trunk_private_vlans'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_private_vlans'] = admin_priv_vlan_trunk_private_vlans continue # Operational private-vlan: (2500,101) p16 = re.compile(r'^\s*Operational *private-vlan:' ' *(?P<operational_private_vlan>\S+)$') m = p16.match(line) if m: operational_private_vlan = m.groupdict()['operational_private_vlan'] interface_switchport_dict[interface]\ ['operational_private_vlan'] = operational_private_vlan continue return interface_switchport_dict # ======================================== # Schema for 'show ipv6 interface vrf all' # ======================================== class ShowIpv6InterfaceVrfAllSchema(MetaParser): """Schema for show ipv6 interface vrf all""" schema = { Any(): {'vrf': str, 'interface_status': str, 'iod': int, 'enabled': bool, Optional('ipv6'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('anycast'): bool, Optional('status'): str, }, 'counters': {'unicast_packets_forwarded': int, 'unicast_packets_originated': int, 'unicast_packets_consumed': int, 'unicast_bytes_forwarded': int, 'unicast_bytes_originated': int, 'unicast_bytes_consumed': int, 'multicast_packets_forwarded': int, 'multicast_packets_originated': int, 'multicast_packets_consumed': int, 'multicast_bytes_forwarded': int, 'multicast_bytes_originated': int, 'multicast_bytes_consumed': int, }, Optional('ipv6_subnet'): str, 'ipv6_link_local': str, 'ipv6_link_local_state': str, 'ipv6_ll_state': str, Optional('ipv6_virtual_add'): str, Optional('ipv6_virtual_groups'): list, Optional('virtual_add'): bool, Optional('multicast_groups'): bool, 'ipv6_multicast_routing': str, 'ipv6_report_link_local': str, 'ipv6_forwarding_feature': str, Optional('ipv6_multicast_groups'): list, Optional('ipv6_multicast_entries'): str, 'ipv6_mtu': int, 'ipv6_unicast_rev_path_forwarding': str, 'ipv6_load_sharing': str, 'ipv6_last_reset': str }, }, } # ======================================== # Parser for 'show ipv6 interface vrf all' # ======================================== class ShowIpv6InterfaceVrfAll(ShowIpv6InterfaceVrfAllSchema): """Parser for show ipv6 interface vrf all show ipv6 interface vrf <vrf> show ipv6 interface <interface> vrf all show ipv6 interface <interface> vrf <vrf>""" cli_command = ['show ipv6 interface {interface} vrf {vrf}', 'show ipv6 interface {interface} vrf all', 'show ipv6 interface vrf {vrf}', 'show ipv6 interface vrf all'] exclude = [ 'multicast_bytes_consumed', 'multicast_packets_consumed', 'multicast_bytes_originated', 'multicast_packets_originated', 'unicast_bytes_consumed', 'unicast_packets_consumed', 'unicast_bytes_originated', 'unicast_packets_originated', 'ipv6_multicast_groups', 'iod', 'multicast_groups', 'unicast_bytes_forwarded', 'unicast_packets_forwarded', 'ipv6_link_local'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output del interface # Init variables ipv6_interface_dict = {} ipv6_addresses = None anycast_addresses = None virtual_add = False multicast_groups = False for line in out.splitlines(): line = line.rstrip() #IPv6 Interface Status for VRF "VRF1" p1 = re.compile(r'^\s*IPv6 *Interface *Status *for *VRF' ' *(?P<vrf>\S+)$') m = p1.match(line) if m: vrf = m.groupdict()['vrf'] vrf = vrf.replace('"',"") continue #Ethernet2/1, Interface status: protocol-up/link-up/admin-up, iod: 36 #port-channel2.101, Interface status: protocol-down/link-down/admin-up, iod: 71 p2 = re.compile(r'^\s*(?:(?P<interface>[a-zA-Z0-9\/\-\.]+)), Interface' ' *status: *(?P<interface_status>[a-z\-\/]+),' ' *iod: *(?P<iod>[0-9]+)$') m = p2.match(line) if m: interface = str(m.groupdict()['interface']) interface_status = m.groupdict()['interface_status'] iod = int(m.groupdict()['iod']) if interface not in ipv6_interface_dict: ipv6_interface_dict[interface] = {} ipv6_interface_dict[interface]['iod'] = iod ipv6_interface_dict[interface]['interface_status'] = interface_status ipv6_interface_dict[interface]['vrf'] = vrf ipv6_interface_dict[interface]['enabled'] = True # init multicast groups list to empty for this interface ipv6_multicast_groups = [] ipv6_virtual_groups = [] ipv6_multicast_entries = multicast_groups = False continue # IPv6 address: p3_1 = re.compile(r'^\s*IPv6 address:$') m = p3_1.match(line) if m: ipv6_addresses = True anycast_addresses = False continue # Anycast configured addresses: p3_2 = re.compile(r'^\s*Anycast configured addresses:$') m = p3_2.match(line) if m: anycast_addresses = True ipv6_addresses = False continue # 2001:db8:1:1::1/64 [VALID] p3_3 = re.compile(r'^\s*(?P<ip>[a-z0-9\:]+)' '\/(?P<prefix_length>[0-9]+)' ' *\[(?P<status>[a-zA-Z]+)\]$') m = p3_3.match(line) if m: ip = m.groupdict()['ip'] prefix_length = m.groupdict()['prefix_length'] status = m.groupdict()['status'].lower() address = ip + '/' + prefix_length if 'ipv6' not in ipv6_interface_dict[interface]: ipv6_interface_dict[interface]['ipv6'] = {} if address not in ipv6_interface_dict[interface]['ipv6']: ipv6_interface_dict[interface]['ipv6'][address] = {} ipv6_interface_dict[interface]['ipv6'][address]\ ['ip'] = ip ipv6_interface_dict[interface]['ipv6'][address]\ ['prefix_length'] = prefix_length if ipv6_addresses: ipv6_interface_dict[interface]['ipv6'][address]\ ['status'] = status elif anycast_addresses: ipv6_interface_dict[interface]['ipv6'][address]\ ['anycast'] = True continue #IPv6 subnet: 2001:db8:1:1::/64 p4 = re.compile(r'^\s*IPv6 *subnet:' ' *(?P<ipv6_subnet>[a-z0-9\:\/]+)$') m = p4.match(line) if m: ipv6_subnet = m.groupdict()['ipv6_subnet'] ipv6_interface_dict[interface]['ipv6']['ipv6_subnet'] = ipv6_subnet continue #IPv6 link-local address: fe80::a8aa:bbff:febb:cccc (default) [VALID] p5 = re.compile(r'^\s*IPv6 *link-local *address:' ' *(?P<ipv6_link_local>[a-z0-9\:\s]+)' ' *$(?P<ipv6_link_local_state>[a-z]+)$' ' *\[(?P<ipv6_ll_state>[A-Z]+)\]$') m = p5.match(line) if m: ipv6_link_local = m.groupdict()['ipv6_link_local'] ipv6_link_local_state = m.groupdict()['ipv6_link_local_state'] ipv6_ll_state = m.groupdict()['ipv6_ll_state'].lower() if 'ipv6' not in ipv6_interface_dict[interface]: ipv6_interface_dict[interface]['ipv6'] = {} ipv6_interface_dict[interface]['ipv6']['ipv6_link_local'] = ipv6_link_local ipv6_interface_dict[interface]['ipv6']['ipv6_link_local_state'] = ipv6_link_local_state ipv6_interface_dict[interface]['ipv6']['ipv6_ll_state'] = ipv6_ll_state continue #IPv6 virtual addresses configured: none p6 = re.compile(r'^\s*IPv6 *virtual *addresses *configured:' ' *(?P<ipv6_virtual_add>\w+)$') m = p6.match(line) if m: ipv6_virtual_add = m.groupdict()['ipv6_virtual_add'] ipv6_interface_dict[interface]['ipv6']['ipv6_virtual_add'] = ipv6_virtual_add continue #IPv6 virtual addresses configured: # fe80::5:73ff:fea0:2 2001:db8:7746:fa41::1 p6_1 = re.compile(r'^\s*(IPv6 virtual *(?P<virtual_add>(addresses|address) configured:))$') m = p6_1.match(line) if m: virtual_add = m.groupdict()['virtual_add'] ipv6_interface_dict[interface]['ipv6']['virtual_add'] = True continue if virtual_add: p6_2 = re.compile(r'^\s*(?P<ipv6_virtual_addresses>[a-z0-9\:\s]+)$') m = p6_2.match(line) if m: ipv6_virtual_addresses = str(m.groupdict()['ipv6_virtual_addresses']) #split string of addresses to list ipv6_virtual_addresses = [str(j) for j in ipv6_virtual_addresses.split()] #Add to previous created list for add in ipv6_virtual_addresses: ipv6_virtual_groups.append(add) ipv6_interface_dict[interface]['ipv6']['ipv6_virtual_groups']\ = sorted(ipv6_virtual_groups) continue #IPv6 multicast routing: disabled p7 = re.compile(r'^\s*IPv6 *multicast *routing:' ' *(?P<ipv6_multicast_routing>[a-z]+)$') m = p7.match(line) if m: ipv6_multicast_routing = m.groupdict()['ipv6_multicast_routing'] ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_routing'] = ipv6_multicast_routing continue #IPv6 report link local: disabled p8 = re.compile(r'^\s*IPv6 *report *link *local:' ' *(?P<ipv6_report_link_local>[a-z]+)$') m = p8.match(line) if m: ipv6_report_link_local = m.groupdict()['ipv6_report_link_local'] ipv6_interface_dict[interface]['ipv6']['ipv6_report_link_local']\ = ipv6_report_link_local continue #IPv6 Forwarding feature: disabled p9 = re.compile(r'^\s*IPv6 *Forwarding *feature:' ' *(?P<ipv6_forwarding_feature>[a-z]+)$') m = p9.match(line) if m: ipv6_forwarding_feature = m.groupdict()['ipv6_forwarding_feature'] ipv6_interface_dict[interface]['ipv6']['ipv6_forwarding_feature']\ = ipv6_forwarding_feature continue #IPv6 multicast groups locally joined: p10 = re.compile(r'^\s*(?P<multicast_groups>(IPv6 *multicast *(groups|group) *locally *joined:))$') m = p10.match(line) if m: virtual_add = False multicast_groups = m.groupdict()['multicast_groups'] ipv6_interface_dict[interface]['ipv6']['multicast_groups'] = True continue if multicast_groups: # ff02::1:ffbb:cccc ff02::1:ff00:3 ff02::1:ff00:2 ff02::2 # ff02::1 ff02::1:ff00:1 ff02::1:ffbb:cccc ff02::1:ff00:0 # ff02::1:ffad:beef ff02::1:ff00:1(2) ff02::2(2) ff02::1(2) p11 = re.compile(r'^\s*(?P<ipv6_multicast_group_addresses>[a-z0-9\:\s]+)$') m = p11.match(line) if m: ipv6_multicast_group_addresses = str(m.groupdict()['ipv6_multicast_group_addresses']) # Split string of addressed into a list ipv6_multicast_group_addresses = [str(i) for i in ipv6_multicast_group_addresses.split()] # Add to previous created list for address in ipv6_multicast_group_addresses: ipv6_multicast_groups.append(address) ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_groups']\ = sorted(ipv6_multicast_groups) continue # IPv6 multicast (S,G) entries joined: none # IPv6 multicast (S,G) entries joined: # (2001:20:1:1::254, ff38::1) p12 = re.compile(r'^\s*IPv6 *multicast *$S\,G$ *entries *joined:$') m = p12.match(line) if m: ipv6_multicast_entries = True continue # (2001:20:1:1::254, ff38::1) p12_1 = re.compile(r'^\s*$(?P<ip_list>.*)$') m = p12_1.match(line) if m and ipv6_multicast_entries: ipv6_multicast_entries = m.groupdict()['ip_list'] ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_entries']\ = ipv6_multicast_entries continue #IPv6 MTU: 1600 (using link MTU) p13 = re.compile(r'^\s*IPv6 *MTU: *(?P<ipv6_mtu>[0-9]+)' ' *$using *link *MTU$$') m = p13.match(line) if m: ipv6_mtu = int(m.groupdict()['ipv6_mtu']) ipv6_interface_dict[interface]['ipv6']['ipv6_mtu'] = ipv6_mtu continue #IPv6 unicast reverse path forwarding: none p14 = re.compile(r'^\s*IPv6 *unicast *reverse *path *forwarding:' ' *(?P<ipv6_unicast_rev_path_forwarding>\w+)$') m = p14.match(line) if m: ipv6_unicast_rev_path_forwarding = m.groupdict()\ ['ipv6_unicast_rev_path_forwarding'] ipv6_interface_dict[interface]['ipv6']\ ['ipv6_unicast_rev_path_forwarding']\ = ipv6_unicast_rev_path_forwarding continue #IPv6 load sharing: none p15 = re.compile(r'^\s*IPv6 *load *sharing:' ' *(?P<ipv6_load_sharing>\w+)$') m = p15.match(line) if m: ipv6_load_sharing = m.groupdict()['ipv6_load_sharing'] ipv6_interface_dict[interface]['ipv6']['ipv6_load_sharing']\ = ipv6_load_sharing continue #IPv6 interface statistics last reset: never p16 = re.compile(r'^\s*IPv6 *interface *statistics *last *reset:' ' *(?P<ipv6_last_reset>[a-z]+)$') m = p16.match(line) if m: ipv6_last_reset = m.groupdict()['ipv6_last_reset'] ipv6_interface_dict[interface]['ipv6']['ipv6_last_reset']\ = ipv6_last_reset continue #Unicast packets: 0/0/0 p18 = re.compile(r'^\s*Unicast *packets:' ' *(?P<unicast_packets_forwarded>[0-9]+)\/' '(?P<unicast_packets_originated>[0-9]+)\/' '(?P<unicast_packets_consumed>[0-9]+)$') m = p18.match(line) if m: if 'counters' not in ipv6_interface_dict[interface]['ipv6']: ipv6_interface_dict[interface]['ipv6']['counters'] = {} ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_forwarded'] = int(m.groupdict()['unicast_packets_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_originated'] = int(m.groupdict()['unicast_packets_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_consumed'] = int(m.groupdict()['unicast_packets_consumed']) continue #Unicast bytes: 0/0/0 p19 = re.compile(r'^\s*Unicast *bytes: *(?P<unicast_bytes_forwarded>[0-9]+)' '\/(?P<unicast_bytes_originated>[0-9]+)\/' '(?P<unicast_bytes_consumed>[0-9]+)$') m = p19.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_forwarded'] = int(m.groupdict()['unicast_bytes_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_originated'] = int(m.groupdict()['unicast_bytes_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_consumed'] = int(m.groupdict()['unicast_bytes_consumed']) continue #Multicast packets: 0/12/9 p20 = re.compile(r'^\s*Multicast *packets: *(?P<multicast_packets_forwarded>[0-9]+)' '\/(?P<multicast_packets_originated>[0-9]+)\/' '(?P<multicast_packets_consumed>[0-9]+)$') m = p20.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_forwarded'] = int(m.groupdict()['multicast_packets_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_originated'] = int(m.groupdict()['multicast_packets_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_consumed'] = int(m.groupdict()['multicast_packets_consumed']) continue #Multicast bytes: 0/1144/640 p21 = re.compile(r'^\s*Multicast *bytes: *(?P<multicast_bytes_forwarded>[0-9]+)\/' '(?P<multicast_bytes_originated>[0-9]+)\/' '(?P<multicast_bytes_consumed>[0-9]+)$') m = p21.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_forwarded'] = int(m.groupdict()['multicast_bytes_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_originated'] = int(m.groupdict()['multicast_bytes_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_consumed'] = int(m.groupdict()['multicast_bytes_consumed']) continue return ipv6_interface_dict # ==================================== # Schema for 'show ip interface brief' # ==================================== class ShowIpInterfaceBriefSchema(MetaParser): """Schema for show ip interface brief""" schema = {'interface': {Any(): {Optional('vlan_id'): {Optional(Any()): {'ip_address': str, 'interface_status': str, Optional('ipaddress_extension'): str} }, Optional('ip_address'): str, Optional('interface_status'): str, Optional('ipaddress_extension'): str} }, } # ==================================== # Parser for 'show ip interface brief' # ==================================== class ShowIpInterfaceBrief(ShowIpInterfaceBriefSchema): """Parser for show ip interface brief""" #************************* # schema - class variable # # Purpose is to make sure the parser always return the output # (nested dict) that has the same data structure across all supported # parsing mechanisms (cli(), yang(), xml()). cli_command = 'show ip interface brief' exclude = [ '(tunnel.*)'] def __init__ (self, *args, **kwargs): super().__init__(*args, **kwargs) self.cmd = self.cli_command def cli(self, output=None): ''' parsing mechanism: cli Function cli() defines the cli type output parsing mechanism which typically contains 3 steps: exe cuting, transforming, returning ''' if output is None: out = self.device.execute(self.cmd) else: out = output interface_dict = {} for line in out.splitlines(): line = line.rstrip() p1 = re.compile(r'^\s*Interface +IP Address +Interface Status$') m = p1.match(line) if m: continue p2 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\.\-]+) +(?P<ip_address>[a-z0-9\.]+) +(?P<interface_status>[a-z\-\/]+)$') m = p2.match(line) if m: interface = m.groupdict()['interface'] if 'interface' not in interface_dict: interface_dict['interface'] = {} if interface not in interface_dict['interface']: interface_dict['interface'][interface] = {} if 'Vlan' in interface: vlan_id = str(int(re.search(r'\d+', interface).group())) if 'vlan_id' not in interface_dict['interface'][interface]: interface_dict['interface'][interface]['vlan_id'] = {} if vlan_id not in interface_dict['interface'][interface]['vlan_id']: interface_dict['interface'][interface]['vlan_id'][vlan_id] = {} interface_dict['interface'][interface]['vlan_id'][vlan_id]['ip_address'] = \ m.groupdict()['ip_address'] interface_dict['interface'][interface]['vlan_id'][vlan_id]['interface_status'] = \ m.groupdict()['interface_status'] else: interface_dict['interface'][interface]['ip_address'] = \ m.groupdict()['ip_address'] interface_dict['interface'][interface]['interface_status'] = \ m.groupdict()['interface_status'] continue p3 = re.compile(r'^\s*(?P<ipaddress_extension>$[a-z0-9]+$)$') m = p3.match(line) if m: ipaddress_extension = m.groupdict()['ipaddress_extension'] if 'Vlan' in interface: new_ip_address = interface_dict['interface']\ [interface]['vlan_id'][vlan_id]['ip_address'] + ipaddress_extension interface_dict['interface'][interface]['vlan_id'][vlan_id]['ip_address'] = \ new_ip_address else: new_ip_address = interface_dict['interface']\ [interface]['ip_address'] + ipaddress_extension interface_dict['interface'][interface]['ip_address'] = new_ip_address continue return interface_dict # =========================================== # Parser for 'show ip interface brief | vlan' # =========================================== class ShowIpInterfaceBriefPipeVlan(ShowIpInterfaceBrief): """Parser for show ip interface brief | include Vlan""" #************************* # schema - class variable # # Purpose is to make sure the parser always return the output # (nested dict) that has the same data structure across all supported # parsing mechanisms (cli(), yang(), xml()). cli_command = 'show ip interface brief | include Vlan' def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.cmd = self.cli_command # ================================= # Schema for 'show interface brief' # ================================= class ShowInterfaceBriefSchema(MetaParser): """Schema for show interface brief""" schema = {'interface': {'ethernet': {Any(): {'vlan': str, 'type': str, 'mode': str, 'status': str, 'speed': str, 'reason': str, 'port_ch': str} }, Optional('port'): {Any(): {Optional('vrf'): str, Optional('status'): str, Optional('ip_address'): str, Optional('speed'): str, Optional('mtu'): int} }, Optional('port_channel'): {Any(): {Optional('vlan'): str, Optional('type'): str, Optional('mode'): str, Optional('status'): str, Optional('speed'): str, Optional('reason'): str, Optional('protocol'): str} }, Optional('loopback'): {Any(): {Optional('status'): str, Optional('description'): str} }, } } # ================================= # Parser for 'show interface brief' # ================================= class ShowInterfaceBrief(ShowInterfaceBriefSchema): '''Parser for: * show interface brief * show interface {interface} brief ''' cli_command = ['show interface brief', 'show interface {interface} brief'] exclude = ['reason'] def cli(self, interface=None, output=None): if output is None: # Determine command if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] # Execute command output = self.device.execute(cmd) # Init parsed_dict = {} # Port VRF Status IP Address Speed MTU p1 = re.compile(r'^Port +VRF +Status +IP Address +Speed +MTU$') # mgmt0 -- up 172.25.143.76 1000 1500 p2 = re.compile(r'^(?P<port>[a-zA-Z0-9]+) +(?P<vrf>[a-zA-Z0-9\-]+)' ' +(?P<status>[a-zA-Z]+) +(?P<ip_address>(\S+))' ' +(?P<speed>[0-9]+) +(?P<mtu>[0-9]+)$') # Ethernet VLAN Type Mode Status Reason Speed Port p3 = re.compile(r'^Ethernet +VLAN +Type +Mode +Status +Reason +Speed' ' +Port$') # Eth1/6 1 eth access down Link not connected auto(D) -- p4 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<vlan>[a-zA-Z0-9\-]+)' ' +(?P<type>[a-zA-Z]+) +(?P<mode>[a-z]+)' ' +(?P<status>[a-z]+) +(?P<reason>[a-zA-Z\s]+)' ' +(?P<speed>[0-9a-zA-Z\s]+)' ' +(?P<port>[0-9\-]+)$') # Port-channel VLAN Type Mode Status Reason Speed Protocol p5 = re.compile(r'^Port-channel +VLAN +Type +Mode +Status +Reason' ' +Speed +Protocol$') # Po8 1 eth access down No operational members auto(I) none p6 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<vlan>[a-zA-Z0-9\-]+)' ' +(?P<type>[a-zA-Z]+) +(?P<mode>[a-z]+)' ' +(?P<status>[a-z]+) +(?P<reason>[a-zA-Z\s]+)' ' +(?P<speed>[0-9a-zA-Z\s]+)' ' +(?P<protocol>[a-zA-Z0-9\-]+)$') # Interface Status Description p7 = re.compile(r'^Interface +Status +Description$') # Lo0 up -- p8 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<status>[a-z]+)' ' +(?P<description>[a-zA-Z\s\-]+)$') for line in output.splitlines(): line = line.strip() # Port VRF Status IP Address Speed MTU m = p1.match(line) if m: port_dict = parsed_dict.setdefault('interface', {}).\ setdefault('port', {}) continue # mgmt0 -- up 172.25.143.76 1000 1500 m = p2.match(line) if m: group = m.groupdict() intf_dict = port_dict.\ setdefault(Common.convert_intf_name(group['port']), {}) intf_dict['vrf'] = group['vrf'] intf_dict['status'] = group['status'] intf_dict['ip_address'] = group['ip_address'] intf_dict['speed'] = group['speed'] intf_dict['mtu'] = int(group['mtu']) continue # Ethernet VLAN Type Mode Status Reason Speed Port m = p3.match(line) if m: eth_dict = parsed_dict.setdefault('interface', {}).\ setdefault('ethernet', {}) continue # Eth1/6 1 eth access down Link not connected auto(D) -- m = p4.match(line) if m: group = m.groupdict() intf_dict = eth_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['vlan'] = group['vlan'] intf_dict['type'] = group['type'] intf_dict['mode'] = group['mode'] intf_dict['status'] = group['status'] intf_dict['reason'] = group['reason'].strip() intf_dict['speed'] = group['speed'] intf_dict['port_ch'] = group['port'] continue # Port-channel VLAN Type Mode Status Reason Speed Protocol m = p5.match(line) if m: pch_dict = parsed_dict.setdefault('interface', {}).\ setdefault('port_channel', {}) continue # Po8 1 eth access down No operational members auto(I) none m = p6.match(line) if m: group = m.groupdict() intf_dict = pch_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['vlan'] = group['vlan'] intf_dict['type'] = group['type'] intf_dict['mode'] = group['mode'] intf_dict['status'] = group['status'] intf_dict['reason'] = group['reason'].strip() intf_dict['speed'] = group['speed'] intf_dict['protocol'] = group['protocol'] continue # Interface Status Description m = p7.match(line) if m: loopback_dict = parsed_dict.setdefault('interface', {}).\ setdefault('loopback', {}) continue # Lo0 up -- m = p8.match(line) if m: group = m.groupdict() intf_dict = loopback_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['status'] = group['status'] intf_dict['description'] = group['description'] continue return parsed_dict # ================================================= # Schema for 'show running-config interface <WORD>' # ================================================= class ShowRunningConfigInterfaceSchema(MetaParser): """Schema for show running-config interface <WORD>""" schema = {'interface': {Any(): {Optional('shutdown'): bool, Optional('switchport'): bool, Optional('switchport_mode'): str, Optional('trunk_vlans'): str, Optional('port_channel'):{ Optional('port_channel_mode'): str, Optional('port_channel_int'): str, }, Optional('host_reachability_protocol'): str, Optional('source_interface'): str, Optional('member_vni'): {Any(): {Optional('associate_vrf'): bool, Optional('mcast_group'): str, Optional('suppress_arp'): bool, } }, } }, } # ================================================= # Parser for 'show running-config interface <WORD>' # ================================================= class ShowRunningConfigInterface(ShowRunningConfigInterfaceSchema): """Parser for show running-config interface <WORD>""" cli_command = 'show running-config interface {interface}' def cli(self, interface, output=None): if output is None: out = self.device.execute(self.cli_command.format(interface=interface)) else: out = output # Init vars ret_dict = {} for line in out.splitlines(): line = line.strip() # interface nve1 # interface Ethernet1/1 p1 = re.compile(r'^interface +(?P<intf_name>\S+)$') m = p1.match(line) if m: interface = str(m.groupdict()['intf_name']) interface_dict = ret_dict.setdefault('interface', {}). \ setdefault(interface, {}) continue # no shutdown p2 = re.compile(r'^\s*no shutdown$') m = p2.match(line) if m: interface_dict['shutdown'] = False continue # host-reachability protocol bgp p3 = re.compile(r'^\s*host-reachability protocol +(?P<protocol>[a-zA-Z]+)$') m = p3.match(line) if m: interface_dict['host_reachability_protocol'] = \ str(m.groupdict()['protocol']) continue # source-interface loopback1 p4 = re.compile(r'^\s*source-interface +(?P<src_intf>[a-zA-Z0-9\-]+)$') m = p4.match(line) if m: interface_dict['source_interface'] = \ str(m.groupdict()['src_intf']) continue # member vni 8100 # member vni 9100 associate-vrf # member vni 2001201-2001300 p5 = re.compile(r'^\s*member vni +(?P<vni>[0-9\-]+)( +(?P<associate_vrf>[a-zA-Z\-]+))?$') m = p5.match(line) if m: if 'member_vni' not in interface_dict: interface_dict['member_vni'] = {} vni = str(m.groupdict()['vni']) if '-' in vni: vni_range = re.findall(r'(?P<first_vni>[0-9]+)\-(?P<last_vni>[0-9]+)?$', vni) members = range(int(vni_range[0][0]), int(vni_range[0][1])+1) else: members = [vni] for memb in members: interface_dict['member_vni'][str(memb)] = {} if m.groupdict()['associate_vrf']: interface_dict['member_vni'][str(memb)]['associate_vrf'] = \ True continue # mcast-group 225.0.1.25 p6 = re.compile(r'^\s*mcast-group +(?P<ip>[0-9\.]+)$') m = p6.match(line) if m: for memb in members: interface_dict['member_vni'][str(memb)]['mcast_group'] = \ str(m.groupdict()['ip']) continue # suppress-arp p7 = re.compile(r'^\s*suppress-arp$') m = p7.match(line) if m: for memb in members: interface_dict['member_vni'][str(memb)]['suppress_arp'] = \ True continue # switchport p8 = re.compile(r'^switchport$') m = p8.match(line) if m: interface_dict.update({'switchport': True}) continue # switchport mode trunk p9 = re.compile(r'^switchport +mode +(?P<mode>\S+)$') m = p9.match(line) if m: group = m.groupdict() interface_dict.update({'switchport_mode': group['mode']}) continue # switchport trunk allowed vlan 1-99,101-199,201-1399,1401-4094 p10 = re.compile(r'^switchport +trunk +allowed +vlan +(?P<trunk_vlans>\S+)$') m = p10.match(line) if m: group = m.groupdict() interface_dict.update({'trunk_vlans': group['trunk_vlans']}) continue # channel-group 1 mode active p11 = re.compile(r'^channel-group +(?P<port_channel_int>\d+) +mode +(?P<mode>\S+)$') m = p11.match(line) if m: group = m.groupdict() port_channel_dict = interface_dict.setdefault('port_channel', {}) port_channel_dict.update({'port_channel_int': group['port_channel_int']}) port_channel_dict.update({'port_channel_mode': group['mode']}) continue return ret_dict # =============================== # Schema for 'show nve interface' # =============================== class ShowNveInterfaceSchema(MetaParser): """Schema for show nve interface""" schema = {'interface': {Any(): {'state': str, Optional('encapsulation'): str, Optional('source_interface'): {Any(): {Optional('primary'): str, Optional('secondary'): str, } }, Optional('vpc_capability'): {Any(): {Optional('notified'): bool, } }, } }, } # =============================== # Parser for 'show nve interface' # =============================== class ShowNveInterface(ShowNveInterfaceSchema): """Parser for show nve interface""" cli_command = 'show nve interface {interface} detail' def cli(self, interface, output=None): cmd = "" if output is None: if interface: cmd = self.cli_command.format(interface=interface) out = self.device.execute(cmd) else: out = output # Init vars interface_dict = {} # Interface: nve1, State: Up, encapsulation: VXLAN p1 = re.compile(r'^\s*Interface: +(?P<intf>[\w]+)\,' ' +State: +(?P<state>[\w]+)\, +encapsulation:' ' +(?P<encapsulation>[\w]+)$') # Source-Interface: loopback0 (primary: 10.4.0.1, secondary: 0.0.0.0) p2 = re.compile(r'^\s*Source-Interface: +(?P<src_intf>[a-zA-Z0-9\-]+)' ' +$primary: +(?P<primary>[a-zA-Z0-9\.]+)\, +secondary:' ' +(?P<secondary>[a-zA-Z0-9\.]+)$$') # VPC Capability: VPC-VIP-Only [not-notified] p3 = re.compile(r'^\s*VPC Capability: +(?P<vpc>[a-zA-Z0-9\-]+)' ' +\[(?P<notified>[a-zA-Z\-]+)\]$') for line in out.splitlines(): line = line.rstrip() m = p1.match(line) if m: intf = str(m.groupdict()['intf']) if 'interface' not in interface_dict: interface_dict['interface'] = {} if intf not in interface_dict['interface']: interface_dict['interface'][intf] = {} interface_dict['interface'][intf]['state'] = \ str(m.groupdict()['state']) interface_dict['interface'][intf]['encapsulation'] = \ str(m.groupdict()['encapsulation']) continue m = p2.match(line) if m: src_intf = str(m.groupdict()['src_intf']) if 'source_interface' not in interface_dict['interface'][intf]: interface_dict['interface'][intf]['source_interface'] = {} if src_intf not in interface_dict['interface'][intf]['source_interface']: interface_dict['interface'][intf]['source_interface'][src_intf] = {} interface_dict['interface'][intf]['source_interface'][src_intf]['primary'] = \ str(m.groupdict()['primary']) interface_dict['interface'][intf]['source_interface'][src_intf]['secondary'] = \ str(m.groupdict()['secondary']) continue m = p3.match(line) if m: vpc = str(m.groupdict()['vpc']) notified = str(m.groupdict()['notified']) if 'vpc_capability' not in interface_dict['interface'][intf]: interface_dict['interface'][intf]['vpc_capability'] = {} if vpc not in interface_dict['interface'][intf]['vpc_capability']: interface_dict['interface'][intf]['vpc_capability'][vpc] = {} if notified == 'notified': interface_dict['interface'][intf]['vpc_capability'][vpc]['notified'] = \ True else: interface_dict['interface'][intf]['vpc_capability'][vpc]['notified'] = \ False continue return interface_dict # ============================================ # Schema for 'show ip interface brief vrf all' # ============================================ class ShowIpInterfaceBriefVrfAllSchema(MetaParser): """Schema for show ip interface brief vrf all""" schema = {'interface': {Any(): {Optional('ip_address'): str, Optional('interface_status'): str} }, } # ============================================ # Schema for 'show ip interface brief vrf all' # ============================================ class ShowIpInterfaceBriefVrfAll(ShowIpInterfaceBriefVrfAllSchema): """Parser for show ip interface brief vrf all""" #************************* # schema - class variable # # Purpose is to make sure the parser always return the output # (nested dict) that has the same data structure across all supported # parsing mechanisms (cli(), yang(), xml()). cli_command = ['show ip interface brief vrf all | include {ip}', 'show ip interface brief vrf all'] def cli(self, ip='', output=None): ''' parsing mechanism: cli Function cli() defines the cli type output parsing mechanism which typically contains 3 steps: exe cuting, transforming, returning ''' if output is None: if ip: cmd = self.cli_command[0].format(ip=ip) else: cmd = self.cli_command[1] out = self.device.execute(cmd) else: out = output interface_dict = {} # mgmt0 10.255.5.169 protocol-up/link-up/admin-up p = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\.\-]+) ' '+(?P<ip_address>[a-z0-9\.]+) +(?P<interface_status>[a-z\-\/]+)$') for line in out.splitlines(): line = line.rstrip() m = p.match(line) if m: interface = m.groupdict()['interface'] if 'interface' not in interface_dict: interface_dict['interface'] = {} if interface not in interface_dict['interface']: interface_dict['interface'][interface] = {} interface_dict['interface'][interface]['ip_address'] = \ str(m.groupdict()['ip_address']) interface_dict['interface'][interface]['interface_status'] = \ str(m.groupdict()['interface_status']) continue return interface_dict ############################################################################# # Parser For show interface Description ############################################################################# class ShowInterfaceDescriptionSchema(MetaParser): """schema for show interface description """ schema = { 'interfaces': { Any(): { Optional('type'): str, Optional('speed'): str, 'description': str } } } class ShowInterfaceDescription(ShowInterfaceDescriptionSchema): """parser for show interface description """ cli_command = ['show interface description', 'show interface {interface} description'] def cli(self, interface="", output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output result_dict = {} index = 1 # ------------------------------------------------------------------------------- # Port Type Speed Description # ------------------------------------------------------------------------------- # Eth1/1 eth 10G -- p1 = re.compile(r'(?P<interface>(\S+)) +(?P<type>(\S+))? +(?P<speed>(\S+))? +(?P<description>(.*))$') for line in out.splitlines(): line = line.strip() line = line.replace('\t', '') # ------------------------------------------------------------------------------- # Port Type Speed Description # ------------------------------------------------------------------------------- # Eth1/1 eth 10G -- m = p1.match(line) if m and m.groupdict()['description'] != 'Description': group = m.groupdict() interface = Common.convert_intf_name(group['interface']) intf_dict = result_dict.setdefault('interfaces', {}).setdefault(interface, {}) if group['type'] is not None: intf_dict['type'] = str(group['type']) if group['speed'] is not None: intf_dict['speed'] = str(group['speed']) intf_dict['description'] = str(group['description']) index += 1 continue return result_dict

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import re from genie.metaparser import MetaParser from genie.metaparser.util.schemaengine import Schema, Any, Optional from genie.libs.parser.utils.common import Common class ShowInterfaceSchema(MetaParser): schema = { Any(): {Optional('description'): str, Optional('types'): str, Optional('parent_interface'): str, 'oper_status': str, Optional('admin_state'): str, Optional('dedicated_intface'): bool, Optional('line_protocol'): str, Optional('autostate'): bool, Optional('link_state'): str, Optional('phys_address'): str, Optional('port_speed'): str, Optional('mtu'): int, 'enabled': bool, Optional('mac_address'): str, Optional('auto_negotiate'): bool, Optional('duplex_mode'): str, Optional('port_mode'): str, Optional('auto_mdix'): str, Optional('switchport_monitor'): str, Optional('efficient_ethernet'): str, Optional('last_link_flapped'): str, Optional('interface_reset'): int, Optional('ethertype'): str, Optional('beacon'): str, Optional('medium'): str, Optional('reliability'): str, Optional('txload'): str, Optional('rxload'): str, Optional('delay'): int, Optional('media_type'): str, Optional('flow_control'): {Optional('receive'): bool, Optional('send'): bool, }, Optional('port_channel'): {Optional('port_channel_member'): bool, Optional('port_channel_int'): str, Optional('port_channel_member_intfs'): list }, Optional('bandwidth'): int, Optional('counters'): {Optional('rate'): {Optional('load_interval'): int, Optional('in_rate'): int, Optional('in_rate_pkts'): int, Optional('out_rate'): int, Optional('out_rate_pkts'): int, Optional('in_rate_bps'): int, Optional('in_rate_pps'): int, Optional('out_rate_bps'): int, Optional('out_rate_pps'): int, }, Optional('in_unicast_pkts'): int, Optional('in_multicast_pkts'): int, Optional('in_broadcast_pkts'): int, Optional('in_discards'): int, Optional('in_crc_errors'): int, Optional('in_oversize_frames'): int, Optional('in_pkts'): int, Optional('in_mac_pause_frames'): int, Optional('in_jumbo_packets'): int, Optional('in_storm_suppression_packets'): int, Optional('in_runts'): int, Optional('in_oversize_frame'): int, Optional('in_overrun'): int, Optional('in_underrun'): int, Optional('in_ignored'): int, Optional('in_watchdog'): int, Optional('in_bad_etype_drop'): int, Optional('in_unknown_protos'): int, Optional('in_if_down_drop'): int, Optional('in_with_dribble'): int, Optional('in_discard'): int, Optional('in_octets'): int, Optional('in_errors'): int, Optional('in_short_frame'): int, Optional('in_no_buffer'): int, Optional('out_pkts'): int, Optional('out_unicast_pkts'): int, Optional('out_multicast_pkts'): int, Optional('out_broadcast_pkts'): int, Optional('out_discard'): int, Optional('out_octets'): int, Optional('out_jumbo_packets'): int, Optional('out_errors'): int, Optional('out_collision'): int, Optional('out_deferred'): int, Optional('out_late_collision'): int, Optional('out_lost_carrier'): int, Optional('out_no_carrier'): int, Optional('out_babble'): int, Optional('last_clear'): str, Optional('tx'): bool, Optional('rx'): bool, Optional('out_mac_pause_frames'): int, }, Optional('encapsulations'): {Optional('encapsulation'): str, Optional('first_dot1q'): str, Optional('native_vlan'): int, }, Optional('ipv4'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('secondary'): bool, Optional('route_tag'): str }, }, }, } class ShowInterface(ShowInterfaceSchema): cli_command = ['show interface', 'show interface {interface}'] exclude = [ 'in_unicast_pkts', 'out_unicast_pkts', 'in_octets', 'out_octets', 'in_pkts', 'out_pkts', 'in_multicast_pkts', 'out_multicast_pkts', 'in_rate', 'out_rate', 'in_broadcast_pkts', 'out_broadcast_pkts', 'last_link_flapped', 'in_rate_pkts', 'out_rate_pkts', 'out_rate_bps', 'in_rate_bps', 'interface_reset', 'in_rate_pps', 'out_rate_pps', 'last_clear', 'out_jumbo_packets', 'in_jumbo_packets', 'rxload', 'txload', 'in_errors', 'mac_address', 'phys_address', 'in_crc_errors', 'reliability'] def cli(self, interface="", output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output p1 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>(down))' '( *$(?P<link_state>[a-zA-Z0-9\-\s]+)$)?$') p1_1 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>[\w\s]+)' '( *$(?P<link_state>[\w\-\/\s]+)$)?, +' 'line +protocol +is +(?P<line_protocol>\w+),? *' '(autostate +(?P<autostate>\w+))?$') p1_2 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/\.\-]+) *is' ' *(?P<enabled>(up))' '( *$(?P<link_state>[a-zA-Z\s]+)$)?$') p2 = re.compile(r'^admin +state +is' ' +(?P<admin_state>([a-zA-Z0-9\/\.]+))(?:,)?' '(?: +(?P<dedicated_intf>(Dedicated Interface)))?' '(?:, +\[parent +interface +is' ' +(?P<parent_intf>(\S+))\])?$') p2_1 = re.compile(r'^Dedicated Interface$') p2_2 = re.compile(r'^Belongs *to *(?P<port_channel_int>[a-zA-Z0-9]+)$') p3 = re.compile(r'^Hardware: *(?P<types>[a-zA-Z0-9\/\s]+),' ' *address: *(?P<mac_address>[a-z0-9\.]+)' ' *$bia *(?P<phys_address>[a-z0-9\.]+)$$') p4 = re.compile(r'^Description: *(?P<description>.*)$') p5 = re.compile(r'^Internet *Address *is *(?P<ip>[0-9\.]+)' '\/(?P<prefix_length>[0-9]+)' '(?: *(?P<secondary>(secondary)))?(?: *tag' ' *(?P<route_tag>[0-9]+))?$') p6 = re.compile(r'^MTU *(?P<mtu>[0-9]+) *bytes, *BW' ' *(?P<bandwidth>[0-9]+) *Kbit(, *DLY' ' *(?P<delay>[0-9]+) *usec)?,?$') p6_1 = re.compile(r'^MTU *(?P<mtu>[0-9]+) *bytes, *BW' ' *(?P<bandwidth>[0-9]+) *Kbit, *,? *BW' ' *([0-9]+) *Kbit, *DLY' ' *(?P<delay>[0-9]+) *usec$') p7 = re.compile(r'^reliability *(?P<reliability>[0-9\/]+),' ' *txload *(?P<txload>[0-9\/]+),' ' *rxload *(?P<rxload>[0-9\/]+)$') p8 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *medium *is *(?P<medium>[a-zA-Z]+)$') p8_1 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *Vlan *ID *(?P<first_dot1q>[0-9]+),' ' *medium *is *(?P<medium>[a-z0-9]+)$') p8_2 = re.compile(r'^Encapsulation *(?P<encapsulation>[a-zA-Z0-9\.\s]+),' ' *([\w\s]+)$') p9 = re.compile(r'^Port *mode *is *(?P<port_mode>[a-z]+)$') p10_1 = re.compile(r'^auto-duplex, +auto-speed$') p10 = re.compile(r'^(?P<duplex_mode>[a-z]+)-duplex, *(?P<port_speed>[a-z0-9\-]+)(?: ' '*[G|M]b/s)?(?:, +media +type +is (?P<media_type>\w+))?$') p11 = re.compile(r'^Beacon *is *turned *(?P<beacon>[a-z]+)$') p12 = re.compile(r'^Auto-Negotiation *is *turned' ' *(?P<auto_negotiate>(off))$') p12_1 = re.compile(r'^Auto-Negotiation *is *turned' ' *(?P<auto_negotiate>(on))$') p13 = re.compile(r'^Input *flow-control *is *(?P<receive>(off)+),' ' *output *flow-control *is *(?P<send>(off)+)$') p13_1 = re.compile(r'^Input *flow-control *is *(?P<receive>(on)+),' ' *output *flow-control *is *(?P<send>(on)+)$') p14 = re.compile(r'^Auto-mdix *is *turned *(?P<auto_mdix>[a-z]+)$') p15 = re.compile(r'^Switchport *monitor *is *(?P<switchport_monitor>[a-z]+)$') p16 = re.compile(r'^EtherType *is *(?P<ethertype>[a-z0-9]+)$') p38 = re.compile(r'^Members +in +this +channel *: *' '(?P<port_channel_member_intfs>[\w\/\.\-\,\s]+)$') p17 = re.compile(r'^EEE *$efficient-ethernet$ *:' ' *(?P<efficient_ethernet>[A-Za-z\/]+)$') p18 = re.compile(r'^Last *link *flapped' ' *(?P<last_link_flapped>[a-z0-9\:]+)$') p19 = re.compile(r'^Last *clearing *of *\"show *interface\"' ' *counters *(?P<last_clear>[a-z0-9\:]+)$') p19_1 = re.compile(r'^Last *clearing *of *\" *\"' ' *counters *(?P<last_clear>[a-z0-9\:]+)$') p20 = re.compile(r'^(?P<interface_reset>[0-9]+) *interface' ' *resets$') p21 = re.compile(r'^(?P<load_interval>[0-9\#]+)' ' *(minute|second|minutes|seconds) *input *rate' ' *(?P<in_rate>[0-9]+) *bits/sec,' ' *(?P<in_rate_pkts>[0-9]+) *packets/sec$') p22 = re.compile(r'^(?P<load_interval>[0-9\#]+)' ' *(minute|second|minutes|seconds) *output' ' *rate *(?P<out_rate>[0-9]+)' ' *bits/sec, *(?P<out_rate_pkts>[0-9]+)' ' *packets/sec$') p23 = re.compile(r'^input *rate *(?P<in_rate_bps>[0-9]+) *bps,' ' *(?P<in_rate_pps>[0-9]+) *pps; *output *rate' ' *(?P<out_rate_bps>[0-9]+) *bps,' ' *(?P<out_rate_pps>[0-9]+) *pps$') p23_1 = re.compile(r'^(?P<rx>(RX))$') p24 = re.compile(r'^(?P<in_unicast_pkts>[0-9]+) +unicast +packets' ' +(?P<in_multicast_pkts>[0-9]+) +multicast +packets' ' +(?P<in_broadcast_pkts>[0-9]+) +broadcast +packets$') p25 = re.compile(r'^(?P<in_pkts>[0-9]+) +input +packets(?: ' '+(?P<in_octets>[0-9]+) +bytes)?(?: +(?P<in_unicast_pkts>[0-9]+) ' '+unicast +packets +(?P<in_multicast_pkts>[0-9]+) +multicast +packets)?$') p26 = re.compile(r'^(?P<in_jumbo_packets>[0-9]+) +jumbo +packets' ' *(?P<in_storm_suppression_packets>[0-9]+)' ' *storm *suppression *packets$') p27 = re.compile(r'^(?P<in_runts>[0-9]+) *runts' ' *(?P<in_oversize_frame>[0-9]+) *giants' ' *(?P<in_crc_errors>[0-9]+) *CRC(/FCS)?' ' *(?P<in_no_buffer>[0-9]+) *no *buffer$') p28 = re.compile(r'^(?P<in_errors>[0-9]+) *input *error' ' *(?P<in_short_frame>[0-9]+) *short *frame' ' *(?P<in_overrun>[0-9]+) *overrun *(?P<in_underrun>[0-9]+)' ' *underrun *(?P<in_ignored>[0-9]+) *ignored$') p29 = re.compile(r'^(?P<in_watchdog>[0-9]+) *watchdog' ' *(?P<in_bad_etype_drop>[0-9]+)' ' *bad *etype *drop *(?P<in_unknown_protos>[0-9]+)' ' *bad *proto' ' *drop *(?P<in_if_down_drop>[0-9]+) *if *down *drop$') p30 = re.compile(r'^(?P<in_with_dribble>[0-9]+) *input *with' ' *dribble *(?P<in_discard>[0-9]+) *input *discard$') p31 = re.compile(r'^(?P<in_mac_pause_frames>[0-9]+) *Rx *pause$') p31_1 = re.compile(r'^(?P<tx>(TX))$') p32 = re.compile(r'^(?P<out_unicast_pkts>[0-9]+) *unicast *packets' ' *(?P<out_multicast_pkts>[0-9]+) *multicast *packets' ' *(?P<out_broadcast_pkts>[0-9]+) *broadcast *packets$') p33 = re.compile(r'^(?P<out_pkts>[0-9]+) *output *packets' ' *(?P<out_octets>[0-9]+) *bytes$') p34 = re.compile(r'^(?P<out_jumbo_packets>[0-9]+) *jumbo *packets$') p35 = re.compile(r'^(?P<out_errors>[0-9]+) *output *error' ' *(?P<out_collision>[0-9]+) *collision' ' *(?P<out_deferred>[0-9]+) *deferred' ' *(?P<out_late_collision>[0-9]+)' ' *late *collision$') p36 = re.compile(r'^(?P<out_lost_carrier>[0-9]+) *lost *carrier' ' *(?P<out_no_carrier>[0-9]+) *no *carrier' ' *(?P<out_babble>[0-9]+) *babble' ' *(?P<out_discard>[0-9]+) *output *discard$') p37 = re.compile(r'^(?P<out_mac_pause_frames>[0-9]+) *Tx *pause$') p38 = re.compile(r'^Members +in +this +channel *: *' '(?P<port_channel_member_intfs>[\w\/\.\-\,\s]+)$') p39 = re.compile(r'^(?P<in_broadcast_pkts>[0-9]+) +broadcast +packets +(?P<in_octets>[0-9]+) +bytes$') interface_dict = {} rx = False tx = False for line in out.splitlines(): line = line.replace('\t', ' ') line = line.strip() m = p1.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state interface_dict[interface]['enabled'] = False interface_dict[interface]['oper_status'] = 'down' continue m = p1_1.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] line_protocol = m.groupdict()['line_protocol'] autostate = m.groupdict()['autostate'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state if enabled: enabled = enabled.lower() interface_dict[interface]['enabled'] = False if 'down' in enabled else True interface_dict[interface]['oper_status'] = enabled.strip() if line_protocol: interface_dict[interface]['line_protocol'] = line_protocol.lower() if autostate: interface_dict[interface]['autostate'] = True if \ autostate.lower() == 'enabled' else False continue m = p1_2.match(line) if m: interface = m.groupdict()['interface'] enabled = m.groupdict()['enabled'] link_state = m.groupdict()['link_state'] if interface not in interface_dict: interface_dict[interface] = {} interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = False if link_state: interface_dict[interface]\ ['link_state'] = link_state interface_dict[interface]['enabled'] = True interface_dict[interface]['oper_status'] = 'up' continue m = p2.match(line) if m: interface_dict[interface]['admin_state'] = \ m.groupdict()['admin_state'] if m.groupdict()['dedicated_intf']: interface_dict[interface]['dedicated_intface'] = True if m.groupdict()['parent_intf']: interface_dict[interface]['parent_interface'] = \ m.groupdict()['parent_intf'] continue m = p2_1.match(line) if m: interface_dict[interface]['dedicated_intface'] = True continue m = p2_2.match(line) if m: port_channel_int = str(m.groupdict()['port_channel_int']) if 'port_channel' not in interface_dict[interface]: interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = True interface_dict[interface]['port_channel']\ ['port_channel_int'] = Common.convert_intf_name(port_channel_int) continue m = p3.match(line) if m: types = m.groupdict()['types'] mac_address = m.groupdict()['mac_address'] phys_address = m.groupdict()['phys_address'] interface_dict[interface]['types'] = types interface_dict[interface]\ ['mac_address'] = mac_address interface_dict[interface]\ ['phys_address'] = phys_address continue m = p4.match(line) if m: description = m.groupdict()['description'] interface_dict[interface]['description'] = description continue m = p5.match(line) if m: ip = m.groupdict()['ip'] prefix_length = str(m.groupdict()['prefix_length']) secondary = m.groupdict()['secondary'] route_tag = m.groupdict()['route_tag'] address = ip + '/' + prefix_length if 'ipv4' not in interface_dict[interface]: interface_dict[interface]['ipv4'] = {} if address not in interface_dict[interface]['ipv4']: interface_dict[interface]['ipv4'][address] = {} interface_dict[interface]['ipv4'][address]\ ['ip'] = ip interface_dict[interface]['ipv4'][address]\ ['prefix_length'] = prefix_length if secondary: interface_dict[interface]['ipv4'][address]\ ['secondary'] = True if route_tag: interface_dict[interface]['ipv4'][address]\ ['route_tag'] = route_tag continue m = p6.match(line) if m: mtu = int(m.groupdict()['mtu']) bandwidth = int(m.groupdict()['bandwidth']) if m.groupdict()['delay']: interface_dict[interface]['delay'] = int(m.groupdict()['delay']) interface_dict[interface]['mtu'] = mtu interface_dict[interface]['bandwidth'] = bandwidth continue m = p6_1.match(line) if m: mtu = int(m.groupdict()['mtu']) bandwidth = int(m.groupdict()['bandwidth']) interface_dict[interface]['mtu'] = mtu interface_dict[interface]['bandwidth'] = bandwidth interface_dict[interface]['delay'] = int(m.groupdict()['delay']) continue m = p7.match(line) if m: reliability = m.groupdict()['reliability'] txload = m.groupdict()['txload'] rxload = m.groupdict()['rxload'] interface_dict[interface]['reliability'] = reliability interface_dict[interface]['txload'] = txload interface_dict[interface]['rxload'] = rxload continue m = p8.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() encapsulation = encapsulation.replace("802.1q virtual lan","dot1q") medium = m.groupdict()['medium'] if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation interface_dict[interface]['medium'] = medium continue m = p8_1.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() encapsulation = encapsulation.replace("802.1q virtual lan","dot1q") first_dot1q = str(m.groupdict()['first_dot1q']) medium = m.groupdict()['medium'] if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation interface_dict[interface]['encapsulations']\ ['first_dot1q'] = first_dot1q interface_dict[interface]['medium'] = medium continue m = p8_2.match(line) if m: encapsulation = m.groupdict()['encapsulation'].lower() if 'encapsulations' not in interface_dict[interface]: interface_dict[interface]['encapsulations'] = {} interface_dict[interface]['encapsulations']\ ['encapsulation'] = encapsulation continue m = p9.match(line) if m: port_mode = m.groupdict()['port_mode'] interface_dict[interface]['port_mode'] = port_mode continue m = p10_1.match(line) if m: continue m = p10.match(line) if m: duplex_mode = m.groupdict()['duplex_mode'].lower() port_speed = m.groupdict()['port_speed'] if m.groupdict()['media_type']: interface_dict[interface]['media_type'] = m.groupdict()['media_type'] else: media_type = None interface_dict[interface]['duplex_mode'] = duplex_mode interface_dict[interface]['port_speed'] = port_speed continue m = p11.match(line) if m: beacon = m.groupdict()['beacon'] interface_dict[interface]['beacon'] = beacon continue m = p12.match(line) if m: auto_negotiation = m.groupdict()['auto_negotiate'] interface_dict[interface]['auto_negotiate'] = False continue m = p12_1.match(line) if m: auto_negotiation = m.groupdict()['auto_negotiate'] interface_dict[interface]['auto_negotiate'] = True continue m = p13.match(line) if m: receive = m.groupdict()['receive'] send = m.groupdict()['send'] if 'flow_control' not in interface_dict[interface]: interface_dict[interface]['flow_control'] = {} interface_dict[interface]['flow_control']['receive'] = False interface_dict[interface]['flow_control']['send'] = False continue m = p13_1.match(line) if m: receive = m.groupdict()['receive'] send = m.groupdict()['send'] if 'flow_control' not in interface_dict[interface]: interface_dict[interface]['flow_control'] = {} interface_dict[interface]['flow_control']['receive'] = True interface_dict[interface]['flow_control']['send'] = True continue m = p14.match(line) if m: auto_mdix = m.groupdict()['auto_mdix'] interface_dict[interface]['auto_mdix'] = auto_mdix continue m = p15.match(line) if m: switchport_monitor = m.groupdict()['switchport_monitor'] interface_dict[interface]['switchport_monitor'] = switchport_monitor continue m = p16.match(line) if m: ethertype = m.groupdict()['ethertype'] interface_dict[interface]['ethertype'] = ethertype continue m = p38.match(line) if m: port_channel_member_intfs = m.groupdict()['port_channel_member_intfs'] if port_channel_member_intfs: if 'port_channel' not in interface_dict[interface]: interface_dict[interface]['port_channel'] = {} interface_dict[interface]['port_channel']\ ['port_channel_member'] = True interface_dict[interface]['port_channel']\ ['port_channel_member_intfs'] = [Common.convert_intf_name(item) \ for item in port_channel_member_intfs.split(',')] continue m = p17.match(line) if m: efficient_ethernet = m.groupdict()['efficient_ethernet'] interface_dict[interface]['efficient_ethernet'] = efficient_ethernet continue m = p18.match(line) if m: last_link_flapped = m.groupdict()['last_link_flapped'] interface_dict[interface]['last_link_flapped']\ = last_link_flapped continue m = p19.match(line) if m: last_clear = m.groupdict()['last_clear'] continue m = p19_1.match(line) if m: last_clear = m.groupdict()['last_clear'] continue m = p20.match(line) if m: interface_reset = int(m.groupdict()['interface_reset']) interface_dict[interface]['interface_reset'] = interface_reset continue m = p21.match(line) if m: load_interval = int(m.groupdict()['load_interval']) in_rate = int(m.groupdict()['in_rate']) in_rate_pkts = int(m.groupdict()['in_rate_pkts']) if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} if 'rate' not in interface_dict[interface]['counters']: interface_dict[interface]['counters']['rate'] = {} interface_dict[interface]['counters']['rate']\ ['load_interval'] = load_interval interface_dict[interface]['counters']['rate']\ ['in_rate'] = in_rate interface_dict[interface]['counters']['rate']\ ['in_rate_pkts'] = in_rate_pkts continue m = p22.match(line) if m: load_interval = int(m.groupdict()['load_interval']) out_rate = int(m.groupdict()['out_rate']) out_rate_pkts = int(m.groupdict()['out_rate_pkts']) interface_dict[interface]['counters']['rate']\ ['load_interval'] = load_interval interface_dict[interface]['counters']['rate']\ ['out_rate'] = out_rate interface_dict[interface]['counters']['rate']\ ['out_rate_pkts'] = out_rate_pkts continue m = p23.match(line) if m: in_rate_bps = int(m.groupdict()['in_rate_bps']) in_rate_pps = int(m.groupdict()['in_rate_pps']) out_rate_bps = int(m.groupdict()['out_rate_bps']) out_rate_pps = int(m.groupdict()['out_rate_pps']) if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} if 'rate' not in interface_dict[interface]['counters']: interface_dict[interface]['counters']['rate'] = {} interface_dict[interface]['counters']['rate']\ ['in_rate_bps'] = in_rate_bps interface_dict[interface]['counters']['rate']\ ['in_rate_pps'] = in_rate_pps interface_dict[interface]['counters']['rate']\ ['out_rate_bps'] = out_rate_bps interface_dict[interface]['counters']['rate']\ ['out_rate_pps'] = out_rate_pps continue m = p23_1.match(line) if m: rx = m.groupdict()['rx'] if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['rx'] = True continue if rx: m = p24.match(line) if m: in_unicast_pkts = int(m.groupdict()['in_unicast_pkts']) in_multicast_pkts = int(m.groupdict()['in_multicast_pkts']) in_broadcast_pkts = int(m.groupdict()['in_broadcast_pkts']) interface_dict[interface]['counters']['in_unicast_pkts'] = in_unicast_pkts interface_dict[interface]['counters']['in_multicast_pkts'] = in_multicast_pkts interface_dict[interface]['counters']['in_broadcast_pkts'] = in_broadcast_pkts try: interface_dict[interface]['counters']['last_clear'] = last_clear except Exception: pass continue m = p25.match(line) if m: group = m.groupdict() if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['in_pkts'] = int(group['in_pkts']) if group['in_octets']: interface_dict[interface]['counters']['in_octets'] = int(group['in_octets']) if group['in_unicast_pkts']: interface_dict[interface]['counters']['in_unicast_pkts'] = int(group['in_unicast_pkts']) if group['in_multicast_pkts']: interface_dict[interface]['counters']['in_multicast_pkts'] = int(group['in_multicast_pkts']) continue m = p39.match(line) if m: in_octets = int(m.groupdict()['in_octets']) interface_dict[interface]['counters']['in_octets'] = in_octets in_broadcast_pkts = int(m.groupdict()['in_broadcast_pkts']) interface_dict[interface]['counters']['in_broadcast_pkts'] = in_broadcast_pkts m = p26.match(line) if m: in_jumbo_packets = int(m.groupdict()['in_jumbo_packets']) in_storm_suppression_packets = int(m.groupdict()['in_storm_suppression_packets']) interface_dict[interface]['counters']['in_jumbo_packets']= in_jumbo_packets interface_dict[interface]['counters']\ ['in_storm_suppression_packets'] = in_storm_suppression_packets continue m = p27.match(line) if m: interface_dict[interface]['counters']['in_runts'] = int(m.groupdict()['in_runts']) interface_dict[interface]['counters']['in_oversize_frame'] = int(m.groupdict()['in_oversize_frame']) interface_dict[interface]['counters']['in_crc_errors'] = int(m.groupdict()['in_crc_errors']) interface_dict[interface]['counters']['in_no_buffer'] = int(m.groupdict()['in_no_buffer']) continue m = p28.match(line) if m: interface_dict[interface]['counters']['in_errors'] = int(m.groupdict()['in_errors']) interface_dict[interface]['counters']['in_short_frame'] = int(m.groupdict()['in_short_frame']) interface_dict[interface]['counters']['in_overrun'] = int(m.groupdict()['in_overrun']) interface_dict[interface]['counters']['in_underrun'] = int(m.groupdict()['in_underrun']) interface_dict[interface]['counters']['in_ignored'] = int(m.groupdict()['in_ignored']) continue m = p29.match(line) if m: interface_dict[interface]['counters']['in_watchdog'] = int(m.groupdict()['in_watchdog']) interface_dict[interface]['counters']['in_bad_etype_drop'] = int(m.groupdict()['in_bad_etype_drop']) interface_dict[interface]['counters']['in_unknown_protos'] = int(m.groupdict()['in_unknown_protos']) interface_dict[interface]['counters']['in_if_down_drop'] = int(m.groupdict()['in_if_down_drop']) continue m = p30.match(line) if m: in_with_dribble = int(m.groupdict()['in_with_dribble']) in_discard = int(m.groupdict()['in_discard']) interface_dict[interface]['counters']['in_with_dribble'] = in_with_dribble interface_dict[interface]['counters']['in_discard'] = in_discard continue m = p31.match(line) if m: in_mac_pause_frames = int(m.groupdict()['in_mac_pause_frames']) interface_dict[interface]['counters']['in_mac_pause_frames'] = in_mac_pause_frames continue m = p31_1.match(line) if m: rx = False tx = m.groupdict()['tx'] if 'counters' not in interface_dict[interface]: interface_dict[interface]['counters'] = {} interface_dict[interface]['counters']['tx'] = True continue if tx: m = p32.match(line) if m: interface_dict[interface]['counters']['out_unicast_pkts'] = int(m.groupdict()['out_unicast_pkts']) interface_dict[interface]['counters']['out_multicast_pkts'] = int(m.groupdict()['out_multicast_pkts']) interface_dict[interface]['counters']['out_broadcast_pkts'] = int(m.groupdict()['out_broadcast_pkts']) continue m = p33.match(line) if m: out_pkts = int(m.groupdict()['out_pkts']) out_octets = int(m.groupdict()['out_octets']) interface_dict[interface]['counters']['out_pkts'] = out_pkts interface_dict[interface]['counters']['out_octets'] = out_octets continue m = p34.match(line) if m: out_jumbo_packets = int(m.groupdict()['out_jumbo_packets']) interface_dict[interface]['counters']['out_jumbo_packets'] = out_jumbo_packets continue m = p35.match(line) if m: interface_dict[interface]['counters']['out_errors'] = int(m.groupdict()['out_errors']) interface_dict[interface]['counters']['out_collision'] = int(m.groupdict()['out_collision']) interface_dict[interface]['counters']['out_deferred'] = int(m.groupdict()['out_deferred']) interface_dict[interface]['counters']['out_late_collision'] = int(m.groupdict()['out_late_collision']) continue m = p36.match(line) if m: interface_dict[interface]['counters']['out_lost_carrier'] = int(m.groupdict()['out_lost_carrier']) interface_dict[interface]['counters']['out_no_carrier'] = int(m.groupdict()['out_no_carrier']) interface_dict[interface]['counters']['out_babble'] = int(m.groupdict()['out_babble']) interface_dict[interface]['counters']['out_discard'] = int(m.groupdict()['out_discard']) continue m = p37.match(line) if m: out_mac_pause_frames = int(m.groupdict()['out_mac_pause_frames']) interface_dict[interface]['counters']['out_mac_pause_frames'] = out_mac_pause_frames continue return interface_dict class ShowIpInterfaceVrfAllSchema(MetaParser): schema = { Any(): {'vrf': str, 'interface_status': str, 'iod': int, Optional('ipv4'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('secondary'): bool, Optional('route_tag'): str, Optional('ip_subnet'): str, Optional('broadcast_address'): str, Optional('route_preference'): str, }, Optional('unnumbered'): {'interface_ref': str, }, 'counters': {'unicast_packets_sent': int, 'unicast_packets_received': int, 'unicast_packets_forwarded': int, 'unicast_packets_originated': int, 'unicast_packets_consumed': int, 'unicast_bytes_sent': int, 'unicast_bytes_received': int, 'unicast_bytes_forwarded': int, 'unicast_bytes_originated': int, 'unicast_bytes_consumed': int, 'multicast_packets_sent': int, 'multicast_packets_received': int, 'multicast_packets_forwarded': int, 'multicast_packets_originated': int, 'multicast_packets_consumed': int, 'multicast_bytes_sent': int, 'multicast_bytes_received': int, 'multicast_bytes_forwarded': int, 'multicast_bytes_originated': int, 'multicast_bytes_consumed': int, 'broadcast_packets_sent': int, 'broadcast_packets_received': int, 'broadcast_packets_forwarded': int, 'broadcast_packets_originated': int, 'broadcast_packets_consumed': int, 'broadcast_bytes_sent': int, 'broadcast_bytes_received': int, 'broadcast_bytes_forwarded': int, 'broadcast_bytes_originated': int, 'broadcast_bytes_consumed': int, 'labeled_packets_sent': int, 'labeled_packets_received': int, 'labeled_packets_forwarded': int, 'labeled_packets_originated': int, 'labeled_packets_consumed': int, 'labeled_bytes_sent': int, 'labeled_bytes_received': int, 'labeled_bytes_forwarded': int, 'labeled_bytes_originated': int, 'labeled_bytes_consumed': int, }, }, Optional('multicast_groups'): list, Optional('multicast_groups_address'): str, 'ip_mtu': int, 'proxy_arp': str, 'local_proxy_arp': str, 'multicast_routing': str, 'icmp_redirects': str, 'directed_broadcast': str, Optional('ip_forwarding'): str, 'icmp_unreachable': str, 'icmp_port_unreachable': str, 'unicast_reverse_path': str, 'load_sharing': str, 'int_stat_last_reset': str, 'wccp_redirect_outbound': str, 'wccp_redirect_inbound': str, 'wccp_redirect_exclude': str }, } class ShowIpInterfaceVrfAll(ShowIpInterfaceVrfAllSchema): cli_command = ['show ip interface {interface} vrf {vrf}', 'show ip interface {interface} vrf all', 'show ip interface vrf {vrf}', 'show ip interface vrf all'] exclude = [ 'multicast_bytes_consumed', 'multicast_bytes_received', 'unicast_bytes_consumed', 'unicast_packets_consumed', 'unicast_bytes_originated', 'unicast_packets_originated', 'unicast_bytes_received', 'unicast_bytes_sent', 'unicast_packets_received', 'unicast_packets_sent', 'multicast_packets_consumed', 'multicast_packets_received', 'multicast_bytes_originated', 'multicast_bytes_sent', 'multicast_packets_originated', 'multicast_packets_sent', 'broadcast_bytes_consumed', 'broadcast_bytes_received', 'broadcast_packets_consumed', 'broadcast_packets_received', 'multicast_groups', 'int_stat_last_reset', 'unicast_bytes_forwarded', 'unicast_packets_forwarded', 'oil_uptime', 'iod', '(tunnel.*)', 'multicast_groups_address'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output del interface ip_interface_vrf_all_dict = {} temp_intf = [] for line in out.splitlines(): line = line.rstrip() p1 = re.compile(r'^\s*IP *Interface *Status *for *VRF' ' *(?P<vrf>\S+)$') m = p1.match(line) if m: vrf = m.groupdict()['vrf'] vrf = vrf.replace('"',"") continue #Ethernet2/1, Interface status: protocol-up/link-up/admin-up, iod: 36, p2 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\-\.]+), *Interface' ' *status: *(?P<interface_status>[a-z\-\/\s]+),' ' *iod: *(?P<iod>[0-9]+),$') m = p2.match(line) if m: interface = m.groupdict()['interface'] interface_status = m.groupdict()['interface_status'] iod = int(m.groupdict()['iod']) if interface not in ip_interface_vrf_all_dict: ip_interface_vrf_all_dict[interface] = {} ip_interface_vrf_all_dict[interface]['interface_status']\ = interface_status ip_interface_vrf_all_dict[interface]['iod'] = iod ip_interface_vrf_all_dict[interface]['vrf'] = vrf #init multicast groups list to empty for this interface multicast_groups = [] unnumbered_intf = None # unnumbered interface didn't share the same information temp_intf = None # check if the ipv4 and address already assgined during the unnumbered block if 'ipv4' in ip_interface_vrf_all_dict[interface]: for key in ip_interface_vrf_all_dict[interface]['ipv4'].keys(): if re.match('^\d+.\d+.\d+.\d+\/\d+', key): address = key continue # Unnumbered interfaces of loopback0: first iod 46 p2_1 = re.compile(r'^\s*Unnumbered +interfaces +of +(?P<unnumbered_intf>[\w\.\/]+): *' 'first +iod +(?P<first_iod>\d+)$') m = p2_1.match(line) if m: unnumbered_intf = m.groupdict()['unnumbered_intf'] continue # Ethernet2/11: # mti18: tunnel-te11: tunnel-te12: p2_2 = re.compile(r'(([E|e]thernet|[L|l]oopback|[T|t]unnel|[V|v]lan|mti|[t|T]unnel-te|[p|P]ort-channel)[\d\/\.]+):') m = p2_2.findall(line) if m and unnumbered_intf: temp_intf = [] temp_intf = [i[0] for i in m] for intf in temp_intf: if intf not in ip_interface_vrf_all_dict: ip_interface_vrf_all_dict[intf] = {} continue # IP address: 10.4.4.4, IP subnet: 10.4.4.0/24 secondary # IP address: 10.64.4.4, IP subnet: 10.64.4.0/24 p3 = re.compile(r'^\s*IP *address: *(?P<ip>[0-9\.]+), *IP' ' *subnet: *(?P<ip_subnet>[a-z0-9\.]+)\/' '(?P<prefix_length>[0-9]+)' ' *(?P<secondary>(secondary))?$') m = p3.match(line) if m: ip = m.groupdict()['ip'] ip_subnet = m.groupdict()['ip_subnet'] prefix_length = m.groupdict()['prefix_length'] secondary = m.groupdict()['secondary'] address = ip + '/' + prefix_length if temp_intf: temp_intf.append(interface) intf_lst = temp_intf else: intf_lst = [interface] for intf in intf_lst: if 'ipv4' not in ip_interface_vrf_all_dict[intf]: ip_interface_vrf_all_dict[intf]['ipv4'] = {} if address not in ip_interface_vrf_all_dict[intf]['ipv4']: ip_interface_vrf_all_dict[intf]['ipv4'][address] = {} ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip'] = ip ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip_subnet'] = ip_subnet ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['prefix_length'] = prefix_length if secondary: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['secondary'] = True else: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['secondary'] = False continue # IP address: 192.168.106.1, IP subnet: 192.168.106.0/24 route-preference: 0, tag: 0 p3_1 = re.compile(r'^\s*IP *address: *(?P<ip>[0-9\.]+), *IP' ' *subnet: *(?P<ip_subnet>[a-z0-9\.]+)\/' '(?P<prefix_length>[0-9\,]+)(?: *route-preference:' ' *(?P<route_preference>[0-9]+),)?(?: *tag:' ' *(?P<route_tag>[0-9]+))?$') m = p3_1.match(line) if m: ip = m.groupdict()['ip'] ip_subnet = m.groupdict()['ip_subnet'] prefix_length = m.groupdict()['prefix_length'] route_tag = m.groupdict()['route_tag'] route_preference = m.groupdict()['route_preference'] address = ip + '/' + prefix_length if temp_intf: temp_intf.append(interface) intf_lst = temp_intf # unnumbered interface didn't share the same information temp_intf = None else: intf_lst = [interface] for intf in intf_lst: if 'ipv4' not in ip_interface_vrf_all_dict[intf]: ip_interface_vrf_all_dict[intf]['ipv4'] = {} if address not in ip_interface_vrf_all_dict[intf]['ipv4']: ip_interface_vrf_all_dict[intf]['ipv4'][address] = {} ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip'] = ip ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['ip_subnet'] = ip_subnet ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['prefix_length'] = prefix_length if route_tag: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['route_tag'] = route_tag if route_preference: ip_interface_vrf_all_dict[intf]['ipv4'][address]\ ['route_preference'] = route_preference continue #IP broadcast address: 255.255.255.255 p4 = re.compile(r'^\s*IP *broadcast *address:' ' *(?P<broadcast_address>[0-9\.]+)$') m = p4.match(line) if m: broadcast_address = str(m.groupdict()['broadcast_address']) if 'ipv4' in ip_interface_vrf_all_dict[interface]: ip_interface_vrf_all_dict[interface]['ipv4'][address]['broadcast_address'] = broadcast_address continue #IP multicast groups locally joined: none #224.0.0.6 224.0.0.5 224.0.0.2 p5 = re.compile(r'^\s*IP *multicast *groups *locally *joined:' ' *(?P<multicast_groups_address>[a-z]+)$') m = p5.match(line) if m: multicast_groups_address = m.groupdict()['multicast_groups_address'] ip_interface_vrf_all_dict[interface]['multicast_groups_address']\ = multicast_groups_address continue #224.0.0.6 224.0.0.5 224.0.0.2 p5_1 = re.compile(r'^\s*(?P<multicast_groups_address>[a-z0-9\.\s]+)$') m = p5_1.match(line) if m: multicast_groups_address = str(m.groupdict()['multicast_groups_address']) #Split string of addressed into a list multicast_groups_address = [str(i) for i in multicast_groups_address.split()] #Add to previous created list for mgroup in multicast_groups_address: multicast_groups.append(mgroup) ip_interface_vrf_all_dict[interface]['multicast_groups']\ = sorted(multicast_groups) continue #IP MTU: 1600 bytes (using link MTU) p6 = re.compile(r'^\s*IP *MTU: *(?P<ip_mtu>[0-9]+)' ' *bytes *$using *link *MTU$$') m = p6.match(line) if m: ip_mtu = int(m.groupdict()['ip_mtu']) ip_interface_vrf_all_dict[interface]['ip_mtu'] = ip_mtu continue #IP primary address route-preference: 0, tag: 0 p7 = re.compile(r'^\s*IP *primary *address *route-preference:' ' *(?P<route_preference>[0-9]+), *tag:' ' *(?P<route_tag>[0-9]+)$') m = p7.match(line) if m: route_preference = m.groupdict()['route_preference'] route_tag = m.groupdict()['route_tag'] if route_preference: ip_interface_vrf_all_dict[interface]['ipv4'][address]['route_preference']\ = route_preference if route_tag: ip_interface_vrf_all_dict[interface]['ipv4'][address]\ ['route_tag'] = route_tag continue #IP proxy ARP : disabled p8 = re.compile(r'^\s*IP *proxy *ARP *: *(?P<proxy_arp>[a-z]+)$') m = p8.match(line) if m: proxy_arp = m.groupdict()['proxy_arp'] ip_interface_vrf_all_dict[interface]['proxy_arp'] = proxy_arp continue #IP Local Proxy ARP : disabled p9 = re.compile(r'^\s*IP *Local *Proxy *ARP *:' ' *(?P<local_proxy_arp>[a-z]+)$') m = p9.match(line) if m: local_proxy_arp = m.groupdict()['local_proxy_arp'] ip_interface_vrf_all_dict[interface]['local_proxy_arp']\ = local_proxy_arp continue #IP multicast routing: disabled p10 = re.compile(r'^\s*IP *multicast *routing:' ' *(?P<multicast_routing>[a-z]+)$') m = p10.match(line) if m: multicast_routing = m.groupdict()['multicast_routing'] ip_interface_vrf_all_dict[interface]['multicast_routing']\ = multicast_routing continue #IP icmp redirects: disabled p11 = re.compile(r'^\s*IP *icmp *redirects:' ' *(?P<icmp_redirects>[a-z]+)$') m = p11.match(line) if m: icmp_redirects = m.groupdict()['icmp_redirects'] ip_interface_vrf_all_dict[interface]['icmp_redirects']\ = icmp_redirects continue #IP directed-broadcast: disabled p12 = re.compile(r'^\s*IP directed-broadcast:' ' *(?P<directed_broadcast>[a-z]+)$') m = p12.match(line) if m: directed_broadcast = m.groupdict()['directed_broadcast'] ip_interface_vrf_all_dict[interface]['directed_broadcast']\ = directed_broadcast continue #IP Forwarding: disabled p13 = re.compile(r'^\s*IP *Forwarding: *(?P<ip_forwarding>[a-z]+)$') m = p13.match(line) if m: ip_forwarding = m.groupdict()['ip_forwarding'] ip_interface_vrf_all_dict[interface]['ip_forwarding']\ = ip_forwarding continue #IP icmp unreachables (except port): disabled p14 = re.compile(r'^\s*IP *icmp *unreachables *$except *port$:' ' *(?P<icmp_unreachable>[a-z]+)$') m = p14.match(line) if m: icmp_unreachable = m.groupdict()['icmp_unreachable'] ip_interface_vrf_all_dict[interface]['icmp_unreachable']\ = icmp_unreachable continue #IP icmp port-unreachable: enabled p15 = re.compile(r'^\s*IP *icmp *port-unreachable:' ' *(?P<icmp_port_unreachable>[a-z]+)$') m = p15.match(line) if m: icmp_port_unreachable = m.groupdict()['icmp_port_unreachable'] ip_interface_vrf_all_dict[interface]['icmp_port_unreachable']\ = icmp_port_unreachable continue #IP unicast reverse path forwarding: none p16 = re.compile(r'^\s*IP *unicast *reverse *path *forwarding:' ' *(?P<unicast_reverse_path>\w+)$') m = p16.match(line) if m: unicast_reverse_path = m.groupdict()['unicast_reverse_path'] ip_interface_vrf_all_dict[interface]['unicast_reverse_path']\ = unicast_reverse_path continue #IP load sharing: none p17 = re.compile(r'^\s*IP *load *sharing: *(?P<load_sharing>\w+)$') m = p17.match(line) if m: load_sharing = m.groupdict()['load_sharing'] ip_interface_vrf_all_dict[interface]['load_sharing']\ = load_sharing continue #IP interface statistics last reset: never p18 = re.compile(r'^\s*IP *interface *statistics *last *reset:' ' *(?P<int_stat_last_reset>[a-zA-Z0-9\:]+)') m = p18.match(line) if m: int_stat_last_reset = m.groupdict()['int_stat_last_reset'] ip_interface_vrf_all_dict[interface]['int_stat_last_reset']\ = int_stat_last_reset continue # IP interface software stats: (sent/received/forwarded/originated/consumed) # Unicast packets : 0/0/0/0/0 # Unicast bytes : 0/0/0/0/0 # Multicast packets : 0/0/0/0/0 # Multicast bytes : 0/0/0/0/0 # Broadcast packets : 0/0/0/0/0 # Broadcast bytes : 0/0/0/0/0 # Labeled packets : 0/0/0/0/0 # Labeled bytes : 0/0/0/0/0 try: interface except Exception: continue if 'ipv4' in ip_interface_vrf_all_dict[interface]: #Unicast packets : 0/0/0/0/0 p20 = re.compile(r'^\s*Unicast *packets *:' ' *(?P<unicast_packets_sent>[0-9]+)\/' '(?P<unicast_packets_received>[0-9]+)\/' '(?P<unicast_packets_forwarded>[0-9]+)\/' '(?P<unicast_packets_originated>[0-9]+)\/' '(?P<unicast_packets_consumed>[0-9]+)$') m = p20.match(line) if m: if 'counters' not in ip_interface_vrf_all_dict[interface]['ipv4'][address]: ip_interface_vrf_all_dict[interface]['ipv4']['counters'] = {} ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_sent']= int(m.groupdict()['unicast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_received']= int(m.groupdict()['unicast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_forwarded']= int(m.groupdict()['unicast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_originated']= int(m.groupdict()['unicast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_packets_consumed']= int(m.groupdict()['unicast_packets_consumed']) continue #Unicast bytes : 0/0/0/0/0 p21 = re.compile(r'^\s*Unicast *bytes *:' ' *(?P<unicast_bytes_sent>[0-9]+)\/' '(?P<unicast_bytes_received>[0-9]+)\/' '(?P<unicast_bytes_forwarded>[0-9]+)\/' '(?P<unicast_bytes_originated>[0-9]+)\/' '(?P<unicast_bytes_consumed>[0-9]+)$') m = p21.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_sent']= int(m.groupdict()['unicast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_received']= int(m.groupdict()['unicast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_forwarded']= int(m.groupdict()['unicast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_originated']= int(m.groupdict()['unicast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['unicast_bytes_consumed']= int(m.groupdict()['unicast_bytes_consumed']) continue #Multicast packets : 0/0/0/0/0 p22 = re.compile(r'^\s*Multicast *packets *:' ' *(?P<multicast_packets_sent>[0-9]+)\/' '(?P<multicast_packets_received>[0-9]+)\/' '(?P<multicast_packets_forwarded>[0-9]+)\/' '(?P<multicast_packets_originated>[0-9]+)\/' '(?P<multicast_packets_consumed>[0-9]+)$') m = p22.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_sent']= int(m.groupdict()['multicast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_received']= int(m.groupdict()['multicast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_forwarded']= int(m.groupdict()['multicast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_originated']= int(m.groupdict()['multicast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_packets_consumed']= int(m.groupdict()['multicast_packets_consumed']) continue #Multicast bytes : 0/0/0/0/0 p23 = re.compile(r'^\s*Multicast *bytes *:' ' *(?P<multicast_bytes_sent>[0-9]+)\/' '(?P<multicast_bytes_received>[0-9]+)\/' '(?P<multicast_bytes_forwarded>[0-9]+)\/' '(?P<multicast_bytes_originated>[0-9]+)\/' '(?P<multicast_bytes_consumed>[0-9]+)$') m = p23.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_sent']= int(m.groupdict()['multicast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_received']= int(m.groupdict()['multicast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_forwarded']= int(m.groupdict()['multicast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_originated']= int(m.groupdict()['multicast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['multicast_bytes_consumed']= int(m.groupdict()['multicast_bytes_consumed']) continue #Broadcast packets : 0/0/0/0/0 p24 = re.compile(r'^\s*Broadcast *packets *:' ' *(?P<broadcast_packets_sent>[0-9]+)\/' '(?P<broadcast_packets_received>[0-9]+)\/' '(?P<broadcast_packets_forwarded>[0-9]+)\/' '(?P<broadcast_packets_originated>[0-9]+)\/' '(?P<broadcast_packets_consumed>[0-9]+)$') m = p24.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_sent']= int(m.groupdict()['broadcast_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_received']= int(m.groupdict()['broadcast_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_forwarded']= int(m.groupdict()['broadcast_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_originated']= int(m.groupdict()['broadcast_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_packets_consumed']= int(m.groupdict()['broadcast_packets_consumed']) continue #Broadcast bytes : 0/0/0/0/0 p25 = re.compile(r'^\s*Broadcast *bytes *:' ' *(?P<broadcast_bytes_sent>[0-9]+)\/' '(?P<broadcast_bytes_received>[0-9]+)\/' '(?P<broadcast_bytes_forwarded>[0-9]+)\/' '(?P<broadcast_bytes_originated>[0-9]+)\/' '(?P<broadcast_bytes_consumed>[0-9]+)$') m = p25.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_sent']= int(m.groupdict()['broadcast_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_received']= int(m.groupdict()['broadcast_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_forwarded']= int(m.groupdict()['broadcast_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_originated']= int(m.groupdict()['broadcast_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['broadcast_bytes_consumed']= int(m.groupdict()['broadcast_bytes_consumed']) continue #Labeled packets : 0/0/0/0/0 p26 = re.compile(r'^\s*Labeled *packets *:' ' *(?P<labeled_packets_sent>[0-9]+)\/' '(?P<labeled_packets_received>[0-9]+)\/' '(?P<labeled_packets_forwarded>[0-9]+)\/' '(?P<labeled_packets_originated>[0-9]+)\/' '(?P<labeled_packets_consumed>[0-9]+)$') m = p26.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_sent']= int(m.groupdict()['labeled_packets_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_received']= int(m.groupdict()['labeled_packets_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_forwarded']= int(m.groupdict()['labeled_packets_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_originated']= int(m.groupdict()['labeled_packets_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_packets_consumed']= int(m.groupdict()['labeled_packets_consumed']) continue #Labeled bytes : 0/0/0/0/0 p27 = re.compile(r'^\s*Labeled *bytes *:' ' *(?P<labeled_bytes_sent>[0-9]+)\/' '(?P<labeled_bytes_received>[0-9]+)\/' '(?P<labeled_bytes_forwarded>[0-9]+)\/' '(?P<labeled_bytes_originated>[0-9]+)\/' '(?P<labeled_bytes_consumed>[0-9]+)$') m = p27.match(line) if m: ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_sent']= int(m.groupdict()['labeled_bytes_sent']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_received']= int(m.groupdict()['labeled_bytes_received']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_forwarded']= int(m.groupdict()['labeled_bytes_forwarded']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_originated']= int(m.groupdict()['labeled_bytes_originated']) ip_interface_vrf_all_dict[interface]['ipv4']['counters']\ ['labeled_bytes_consumed']= int(m.groupdict()['labeled_bytes_consumed']) continue #WCCP Redirect outbound: disabled p28 = re.compile(r'^\s*WCCP *Redirect *outbound:' ' *(?P<wccp_redirect_outbound>[a-z]+)$') m = p28.match(line) if m: wccp_redirect_outbound = m.groupdict()['wccp_redirect_outbound'] ip_interface_vrf_all_dict[interface]['wccp_redirect_outbound']\ = wccp_redirect_outbound continue #WCCP Redirect inbound: disabled p29 = re.compile(r'^\s*WCCP *Redirect *inbound:' ' *(?P<wccp_redirect_inbound>[a-z]+)$') m = p29.match(line) if m: wccp_redirect_inbound = m.groupdict()['wccp_redirect_inbound'] ip_interface_vrf_all_dict[interface]['wccp_redirect_inbound']\ = wccp_redirect_inbound continue #WCCP Redirect exclude: disabled p30 = re.compile(r'^\s*WCCP *Redirect *exclude:' ' *(?P<wccp_redirect_exclude>[a-z]+)$') m = p30.match(line) if m: wccp_redirect_exclude = m.groupdict()['wccp_redirect_exclude'] ip_interface_vrf_all_dict[interface]['wccp_redirect_exclude']\ = wccp_redirect_exclude continue # IP unnumbered interface (loopback0) p31 = re.compile(r'^\s*IP +unnumbered +interface +$(?P<unnum_intf>[\w\/\.]+)$$') m = p31.match(line) if m: unnum_intf = m.groupdict()['unnum_intf'] if 'ipv4' in ip_interface_vrf_all_dict[interface]: ip_interface_vrf_all_dict[interface]['ipv4']['unnumbered'] = {} ip_interface_vrf_all_dict[interface]['ipv4']['unnumbered']['interface_ref']\ = unnum_intf continue return ip_interface_vrf_all_dict # =================================== # Schema for 'show vrf all interface' # =================================== class ShowVrfAllInterfaceSchema(MetaParser): schema = { Any(): {'vrf': str, 'vrf_id': int, 'site_of_origin': str }, } # =================================== # Parser for 'show vrf all interface' # =================================== class ShowVrfAllInterface(ShowVrfAllInterfaceSchema): cli_command = ['show vrf {vrf} interface {interface}', 'show vrf all interface {interface}', 'show vrf {vrf} interface', 'show vrf all interface'] exclude = [ '(Null.*)'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output vrf_all_interface_dict = {} for line in out.splitlines(): line = line.rstrip() # Interface VRF-Name VRF-ID Site-of-Origin # Ethernet2/1 VRF1 3 -- # Null0 default 1 -- # Ethernet2/1.10 default 1 -- # Ethernet2/1.20 default 1 -- # Ethernet2/4 default 1 -- # Ethernet2/5 default 1 -- # Ethernet2/6 default 1 -- p1 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\.\/]+)' ' *(?P<vrf>[a-zA-Z0-9]+)' ' *(?P<vrf_id>[0-9]+)' ' *(?P<site_of_origin>[a-zA-Z\-]+)$') m = p1.match(line) if m: interface = m.groupdict()['interface'] vrf = m.groupdict()['vrf'] vrf_id = int(m.groupdict()['vrf_id']) site_of_origin = m.groupdict()['site_of_origin'] if interface not in vrf_all_interface_dict: vrf_all_interface_dict[interface] = {} vrf_all_interface_dict[interface]['vrf'] = vrf vrf_all_interface_dict[interface]['vrf_id'] = vrf_id vrf_all_interface_dict[interface]\ ['site_of_origin'] = site_of_origin return vrf_all_interface_dict # ====================================== # Schema for 'show interface switchport' # ====================================== class ShowInterfaceSwitchportSchema(MetaParser): schema = { Any(): {'switchport_status': str, Optional('switchport_monitor'): str, Optional('switchport_mode'): str, Optional('access_vlan'): int, 'switchport_enable': bool, Optional('access_vlan_mode'): str, Optional('native_vlan'): int, Optional('native_vlan_mode'): str, Optional('trunk_vlans'): str, Optional('admin_priv_vlan_primary_host_assoc'): str, Optional('admin_priv_vlan_secondary_host_assoc'): str, Optional('admin_priv_vlan_primary_mapping'): str, Optional('admin_priv_vlan_secondary_mapping'): str, Optional('admin_priv_vlan_trunk_native_vlan'): str, Optional('admin_priv_vlan_trunk_encapsulation'): str, Optional('admin_priv_vlan_trunk_normal_vlans'): str, Optional('admin_priv_vlan_trunk_private_vlans'): str, Optional('operational_private_vlan'): str }, } # ====================================== # Parser for 'show interface switchport' # ====================================== class ShowInterfaceSwitchport(ShowInterfaceSwitchportSchema): cli_command =['show interface switchport', 'show interface {interface} switchport'] def cli(self, interface="", output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] out = self.device.execute(cmd) else: out = output interface_switchport_dict = {} for line in out.splitlines(): line = line.rstrip() #Name: Ethernet2/2 p1 = re.compile(r'^\s*Name: *(?P<interface>[a-zA-Z0-9\/\-\.]+)$') m = p1.match(line) if m: interface = m.groupdict()['interface'] if interface not in interface_switchport_dict: interface_switchport_dict[interface] = {} continue #Switchport: Enabled p2 = re.compile(r'^\s*Switchport: *(?P<switchport_status>[a-zA-Z\s]+)$') m = p2.match(line) if m: switchport_status = m.groupdict()['switchport_status'].lower() interface_switchport_dict[interface]['switchport_status'] = switchport_status interface_switchport_dict[interface]['switchport_enable'] = True \ if 'enable' in switchport_status else False continue #Switchport Monitor: Not enabled p3 = re.compile(r'^\s*Switchport *Monitor: *(?P<switchport_monitor>[a-zA-Z\s]+)$') m = p3.match(line) if m: switchport_monitor = m.groupdict()['switchport_monitor'] interface_switchport_dict[interface]['switchport_monitor'] = switchport_monitor continue # Operational Mode: Private-vlan host p4 = re.compile(r'^\s*Operational *Mode: *(?P<switchport_mode>[\w\s-]+)$') m = p4.match(line) if m: interface_switchport_dict[interface]['switchport_mode'] = m.groupdict()['switchport_mode'] continue # Access Mode VLAN: 1 (default) # Access Mode VLAN: 7 (server-vlan7) # Access Mode VLAN: 551 (Test_VM_192.168.1.0/24) p5 = re.compile(r'^\s*Access *Mode *VLAN: *(?P<access_vlan>[0-9]+)' '(?: *$(?P<access_vlan_mode>[\S\s]+)$)?$') m = p5.match(line) if m: access_vlan = int(m.groupdict()['access_vlan']) access_vlan_mode = m.groupdict()['access_vlan_mode'] interface_switchport_dict[interface]\ ['access_vlan'] = access_vlan interface_switchport_dict[interface]\ ['access_vlan_mode'] = access_vlan_mode continue # Trunking Native Mode VLAN: 1 (default) # Trunking Native Mode VLAN: 200 (VLAN0200) # Trunking Native Mode VLAN: 3967 (Vlan not created) # Trunking Native Mode VLAN: 451 (VM_Machines_192.168.1.0/24) p6 = re.compile(r'^\s*Trunking *Native *Mode *VLAN:' ' *(?P<native_vlan>[0-9]+)' ' *$(?P<native_vlan_mode>[\S\s]+)$$') m = p6.match(line) if m: native_vlan = int(m.groupdict()['native_vlan']) native_vlan_mode = m.groupdict()['native_vlan_mode'] interface_switchport_dict[interface]\ ['native_vlan'] = native_vlan interface_switchport_dict[interface]\ ['native_vlan_mode'] = native_vlan_mode continue #Trunking VLANs Allowed: 100,300 p7 = re.compile(r'^\s*Trunking *VLANs *Allowed: *(?P<trunk_vlans>[0-9\,\-]+)$') m = p7.match(line) if m: trunk_vlans = m.groupdict()['trunk_vlans'] interface_switchport_dict[interface]['trunk_vlans'] = trunk_vlans continue # Administrative private-vlan primary host-association: 2000 p8 = re.compile(r'^\s*Administrative *private-vlan *primary' ' *host-association:' ' *(?P<admin_priv_vlan_primary_host_assoc>\w+)$') m = p8.match(line) if m: admin_priv_vlan_primary_host_assoc = m.groupdict()['admin_priv_vlan_primary_host_assoc'] interface_switchport_dict[interface]['admin_priv_vlan_primary_host_assoc'] = admin_priv_vlan_primary_host_assoc continue # Administrative private-vlan secondary host-association: 110 p9 = re.compile(r'^\s*Administrative *private-vlan *secondary' ' *host-association:' ' *(?P<admin_priv_vlan_secondary_host_assoc>\w+)$') m = p9.match(line) if m: admin_priv_vlan_secondary_host_assoc\ = m.groupdict()['admin_priv_vlan_secondary_host_assoc'] interface_switchport_dict[interface]\ ['admin_priv_vlan_secondary_host_assoc'] = admin_priv_vlan_secondary_host_assoc continue #Administrative private-vlan primary mapping: none p10 = re.compile(r'^\s*Administrative *private-vlan *primary' ' *mapping:' ' *(?P<admin_priv_vlan_primary_mapping>\w+)$') m = p10.match(line) if m: admin_priv_vlan_primary_mapping\ = m.groupdict()['admin_priv_vlan_primary_mapping'] interface_switchport_dict[interface]\ ['admin_priv_vlan_primary_mapping']\ = admin_priv_vlan_primary_mapping continue #Administrative private-vlan secondary mapping: none p11 = re.compile(r'^\s*Administrative *private-vlan *secondary' ' *mapping:' ' *(?P<admin_priv_vlan_secondary_mapping>\w+)$') m = p11.match(line) if m: admin_priv_vlan_secondary_mapping = m.groupdict()['admin_priv_vlan_secondary_mapping'] interface_switchport_dict[interface]\ ['admin_priv_vlan_secondary_mapping'] = admin_priv_vlan_secondary_mapping continue #Administrative private-vlan trunk native VLAN: 1 p12 = re.compile(r'^\s*Administrative *private-vlan *trunk *native' ' *VLAN:' ' *(?P<admin_priv_vlan_trunk_native_vlan>\w+)$') m = p12.match(line) if m: admin_priv_vlan_trunk_native_vlan = m.groupdict()['admin_priv_vlan_trunk_native_vlan'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_native_vlan'] = admin_priv_vlan_trunk_native_vlan continue #Administrative private-vlan trunk encapsulation: dot1q p13 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *encapsulation:' ' *(?P<admin_priv_vlan_trunk_encapsulation>[a-z0-9]+)$') m = p13.match(line) if m: admin_priv_vlan_trunk_encapsulation = m.groupdict()['admin_priv_vlan_trunk_encapsulation'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_encapsulation'] = admin_priv_vlan_trunk_encapsulation continue #Administrative private-vlan trunk normal VLANs: none p14 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *normal VLANs:' ' *(?P<admin_priv_vlan_trunk_normal_vlans>\w+)$') m = p14.match(line) if m: admin_priv_vlan_trunk_normal_vlans = m.groupdict()['admin_priv_vlan_trunk_normal_vlans'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_normal_vlans'] = admin_priv_vlan_trunk_normal_vlans continue # Administrative private-vlan trunk private VLANs: none # Administrative private-vlan trunk private VLANs: none(0 none) p15 = re.compile(r'^\s*Administrative *private-vlan *trunk' ' *private VLANs:' ' *(?P<admin_priv_vlan_trunk_private_vlans>\w+)(?P<dummy>.*)?$') m = p15.match(line) if m: admin_priv_vlan_trunk_private_vlans = m.groupdict()['admin_priv_vlan_trunk_private_vlans'] interface_switchport_dict[interface]\ ['admin_priv_vlan_trunk_private_vlans'] = admin_priv_vlan_trunk_private_vlans continue # Operational private-vlan: (2500,101) p16 = re.compile(r'^\s*Operational *private-vlan:' ' *(?P<operational_private_vlan>\S+)$') m = p16.match(line) if m: operational_private_vlan = m.groupdict()['operational_private_vlan'] interface_switchport_dict[interface]\ ['operational_private_vlan'] = operational_private_vlan continue return interface_switchport_dict # ======================================== # Schema for 'show ipv6 interface vrf all' # ======================================== class ShowIpv6InterfaceVrfAllSchema(MetaParser): schema = { Any(): {'vrf': str, 'interface_status': str, 'iod': int, 'enabled': bool, Optional('ipv6'): {Any(): {Optional('ip'): str, Optional('prefix_length'): str, Optional('anycast'): bool, Optional('status'): str, }, 'counters': {'unicast_packets_forwarded': int, 'unicast_packets_originated': int, 'unicast_packets_consumed': int, 'unicast_bytes_forwarded': int, 'unicast_bytes_originated': int, 'unicast_bytes_consumed': int, 'multicast_packets_forwarded': int, 'multicast_packets_originated': int, 'multicast_packets_consumed': int, 'multicast_bytes_forwarded': int, 'multicast_bytes_originated': int, 'multicast_bytes_consumed': int, }, Optional('ipv6_subnet'): str, 'ipv6_link_local': str, 'ipv6_link_local_state': str, 'ipv6_ll_state': str, Optional('ipv6_virtual_add'): str, Optional('ipv6_virtual_groups'): list, Optional('virtual_add'): bool, Optional('multicast_groups'): bool, 'ipv6_multicast_routing': str, 'ipv6_report_link_local': str, 'ipv6_forwarding_feature': str, Optional('ipv6_multicast_groups'): list, Optional('ipv6_multicast_entries'): str, 'ipv6_mtu': int, 'ipv6_unicast_rev_path_forwarding': str, 'ipv6_load_sharing': str, 'ipv6_last_reset': str }, }, } # ======================================== # Parser for 'show ipv6 interface vrf all' # ======================================== class ShowIpv6InterfaceVrfAll(ShowIpv6InterfaceVrfAllSchema): cli_command = ['show ipv6 interface {interface} vrf {vrf}', 'show ipv6 interface {interface} vrf all', 'show ipv6 interface vrf {vrf}', 'show ipv6 interface vrf all'] exclude = [ 'multicast_bytes_consumed', 'multicast_packets_consumed', 'multicast_bytes_originated', 'multicast_packets_originated', 'unicast_bytes_consumed', 'unicast_packets_consumed', 'unicast_bytes_originated', 'unicast_packets_originated', 'ipv6_multicast_groups', 'iod', 'multicast_groups', 'unicast_bytes_forwarded', 'unicast_packets_forwarded', 'ipv6_link_local'] def cli(self, interface='', vrf='', output=None): if interface and vrf: cmd = self.cli_command[0].format(interface=interface, vrf=vrf) elif interface: cmd = self.cli_command[1].format(interface=interface) elif vrf: cmd = self.cli_command[2].format(vrf=vrf) else: cmd = self.cli_command[3] if output is None: out = self.device.execute(cmd) else: out = output del interface # Init variables ipv6_interface_dict = {} ipv6_addresses = None anycast_addresses = None virtual_add = False multicast_groups = False for line in out.splitlines(): line = line.rstrip() #IPv6 Interface Status for VRF "VRF1" p1 = re.compile(r'^\s*IPv6 *Interface *Status *for *VRF' ' *(?P<vrf>\S+)$') m = p1.match(line) if m: vrf = m.groupdict()['vrf'] vrf = vrf.replace('"',"") continue p2 = re.compile(r'^\s*(?:(?P<interface>[a-zA-Z0-9\/\-\.]+)), Interface' ' *status: *(?P<interface_status>[a-z\-\/]+),' ' *iod: *(?P<iod>[0-9]+)$') m = p2.match(line) if m: interface = str(m.groupdict()['interface']) interface_status = m.groupdict()['interface_status'] iod = int(m.groupdict()['iod']) if interface not in ipv6_interface_dict: ipv6_interface_dict[interface] = {} ipv6_interface_dict[interface]['iod'] = iod ipv6_interface_dict[interface]['interface_status'] = interface_status ipv6_interface_dict[interface]['vrf'] = vrf ipv6_interface_dict[interface]['enabled'] = True ipv6_multicast_groups = [] ipv6_virtual_groups = [] ipv6_multicast_entries = multicast_groups = False continue p3_1 = re.compile(r'^\s*IPv6 address:$') m = p3_1.match(line) if m: ipv6_addresses = True anycast_addresses = False continue p3_2 = re.compile(r'^\s*Anycast configured addresses:$') m = p3_2.match(line) if m: anycast_addresses = True ipv6_addresses = False continue p3_3 = re.compile(r'^\s*(?P<ip>[a-z0-9\:]+)' '\/(?P<prefix_length>[0-9]+)' ' *\[(?P<status>[a-zA-Z]+)\]$') m = p3_3.match(line) if m: ip = m.groupdict()['ip'] prefix_length = m.groupdict()['prefix_length'] status = m.groupdict()['status'].lower() address = ip + '/' + prefix_length if 'ipv6' not in ipv6_interface_dict[interface]: ipv6_interface_dict[interface]['ipv6'] = {} if address not in ipv6_interface_dict[interface]['ipv6']: ipv6_interface_dict[interface]['ipv6'][address] = {} ipv6_interface_dict[interface]['ipv6'][address]\ ['ip'] = ip ipv6_interface_dict[interface]['ipv6'][address]\ ['prefix_length'] = prefix_length if ipv6_addresses: ipv6_interface_dict[interface]['ipv6'][address]\ ['status'] = status elif anycast_addresses: ipv6_interface_dict[interface]['ipv6'][address]\ ['anycast'] = True continue p4 = re.compile(r'^\s*IPv6 *subnet:' ' *(?P<ipv6_subnet>[a-z0-9\:\/]+)$') m = p4.match(line) if m: ipv6_subnet = m.groupdict()['ipv6_subnet'] ipv6_interface_dict[interface]['ipv6']['ipv6_subnet'] = ipv6_subnet continue p5 = re.compile(r'^\s*IPv6 *link-local *address:' ' *(?P<ipv6_link_local>[a-z0-9\:\s]+)' ' *$(?P<ipv6_link_local_state>[a-z]+)$' ' *\[(?P<ipv6_ll_state>[A-Z]+)\]$') m = p5.match(line) if m: ipv6_link_local = m.groupdict()['ipv6_link_local'] ipv6_link_local_state = m.groupdict()['ipv6_link_local_state'] ipv6_ll_state = m.groupdict()['ipv6_ll_state'].lower() if 'ipv6' not in ipv6_interface_dict[interface]: ipv6_interface_dict[interface]['ipv6'] = {} ipv6_interface_dict[interface]['ipv6']['ipv6_link_local'] = ipv6_link_local ipv6_interface_dict[interface]['ipv6']['ipv6_link_local_state'] = ipv6_link_local_state ipv6_interface_dict[interface]['ipv6']['ipv6_ll_state'] = ipv6_ll_state continue p6 = re.compile(r'^\s*IPv6 *virtual *addresses *configured:' ' *(?P<ipv6_virtual_add>\w+)$') m = p6.match(line) if m: ipv6_virtual_add = m.groupdict()['ipv6_virtual_add'] ipv6_interface_dict[interface]['ipv6']['ipv6_virtual_add'] = ipv6_virtual_add continue p6_1 = re.compile(r'^\s*(IPv6 virtual *(?P<virtual_add>(addresses|address) configured:))$') m = p6_1.match(line) if m: virtual_add = m.groupdict()['virtual_add'] ipv6_interface_dict[interface]['ipv6']['virtual_add'] = True continue if virtual_add: p6_2 = re.compile(r'^\s*(?P<ipv6_virtual_addresses>[a-z0-9\:\s]+)$') m = p6_2.match(line) if m: ipv6_virtual_addresses = str(m.groupdict()['ipv6_virtual_addresses']) ipv6_virtual_addresses = [str(j) for j in ipv6_virtual_addresses.split()] for add in ipv6_virtual_addresses: ipv6_virtual_groups.append(add) ipv6_interface_dict[interface]['ipv6']['ipv6_virtual_groups']\ = sorted(ipv6_virtual_groups) continue p7 = re.compile(r'^\s*IPv6 *multicast *routing:' ' *(?P<ipv6_multicast_routing>[a-z]+)$') m = p7.match(line) if m: ipv6_multicast_routing = m.groupdict()['ipv6_multicast_routing'] ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_routing'] = ipv6_multicast_routing continue p8 = re.compile(r'^\s*IPv6 *report *link *local:' ' *(?P<ipv6_report_link_local>[a-z]+)$') m = p8.match(line) if m: ipv6_report_link_local = m.groupdict()['ipv6_report_link_local'] ipv6_interface_dict[interface]['ipv6']['ipv6_report_link_local']\ = ipv6_report_link_local continue p9 = re.compile(r'^\s*IPv6 *Forwarding *feature:' ' *(?P<ipv6_forwarding_feature>[a-z]+)$') m = p9.match(line) if m: ipv6_forwarding_feature = m.groupdict()['ipv6_forwarding_feature'] ipv6_interface_dict[interface]['ipv6']['ipv6_forwarding_feature']\ = ipv6_forwarding_feature continue p10 = re.compile(r'^\s*(?P<multicast_groups>(IPv6 *multicast *(groups|group) *locally *joined:))$') m = p10.match(line) if m: virtual_add = False multicast_groups = m.groupdict()['multicast_groups'] ipv6_interface_dict[interface]['ipv6']['multicast_groups'] = True continue if multicast_groups: p11 = re.compile(r'^\s*(?P<ipv6_multicast_group_addresses>[a-z0-9\:\s]+)$') m = p11.match(line) if m: ipv6_multicast_group_addresses = str(m.groupdict()['ipv6_multicast_group_addresses']) ipv6_multicast_group_addresses = [str(i) for i in ipv6_multicast_group_addresses.split()] for address in ipv6_multicast_group_addresses: ipv6_multicast_groups.append(address) ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_groups']\ = sorted(ipv6_multicast_groups) continue p12 = re.compile(r'^\s*IPv6 *multicast *$S\,G$ *entries *joined:$') m = p12.match(line) if m: ipv6_multicast_entries = True continue p12_1 = re.compile(r'^\s*$(?P<ip_list>.*)$') m = p12_1.match(line) if m and ipv6_multicast_entries: ipv6_multicast_entries = m.groupdict()['ip_list'] ipv6_interface_dict[interface]['ipv6']['ipv6_multicast_entries']\ = ipv6_multicast_entries continue p13 = re.compile(r'^\s*IPv6 *MTU: *(?P<ipv6_mtu>[0-9]+)' ' *$using *link *MTU$$') m = p13.match(line) if m: ipv6_mtu = int(m.groupdict()['ipv6_mtu']) ipv6_interface_dict[interface]['ipv6']['ipv6_mtu'] = ipv6_mtu continue p14 = re.compile(r'^\s*IPv6 *unicast *reverse *path *forwarding:' ' *(?P<ipv6_unicast_rev_path_forwarding>\w+)$') m = p14.match(line) if m: ipv6_unicast_rev_path_forwarding = m.groupdict()\ ['ipv6_unicast_rev_path_forwarding'] ipv6_interface_dict[interface]['ipv6']\ ['ipv6_unicast_rev_path_forwarding']\ = ipv6_unicast_rev_path_forwarding continue p15 = re.compile(r'^\s*IPv6 *load *sharing:' ' *(?P<ipv6_load_sharing>\w+)$') m = p15.match(line) if m: ipv6_load_sharing = m.groupdict()['ipv6_load_sharing'] ipv6_interface_dict[interface]['ipv6']['ipv6_load_sharing']\ = ipv6_load_sharing continue p16 = re.compile(r'^\s*IPv6 *interface *statistics *last *reset:' ' *(?P<ipv6_last_reset>[a-z]+)$') m = p16.match(line) if m: ipv6_last_reset = m.groupdict()['ipv6_last_reset'] ipv6_interface_dict[interface]['ipv6']['ipv6_last_reset']\ = ipv6_last_reset continue p18 = re.compile(r'^\s*Unicast *packets:' ' *(?P<unicast_packets_forwarded>[0-9]+)\/' '(?P<unicast_packets_originated>[0-9]+)\/' '(?P<unicast_packets_consumed>[0-9]+)$') m = p18.match(line) if m: if 'counters' not in ipv6_interface_dict[interface]['ipv6']: ipv6_interface_dict[interface]['ipv6']['counters'] = {} ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_forwarded'] = int(m.groupdict()['unicast_packets_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_originated'] = int(m.groupdict()['unicast_packets_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_packets_consumed'] = int(m.groupdict()['unicast_packets_consumed']) continue p19 = re.compile(r'^\s*Unicast *bytes: *(?P<unicast_bytes_forwarded>[0-9]+)' '\/(?P<unicast_bytes_originated>[0-9]+)\/' '(?P<unicast_bytes_consumed>[0-9]+)$') m = p19.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_forwarded'] = int(m.groupdict()['unicast_bytes_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_originated'] = int(m.groupdict()['unicast_bytes_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['unicast_bytes_consumed'] = int(m.groupdict()['unicast_bytes_consumed']) continue p20 = re.compile(r'^\s*Multicast *packets: *(?P<multicast_packets_forwarded>[0-9]+)' '\/(?P<multicast_packets_originated>[0-9]+)\/' '(?P<multicast_packets_consumed>[0-9]+)$') m = p20.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_forwarded'] = int(m.groupdict()['multicast_packets_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_originated'] = int(m.groupdict()['multicast_packets_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_packets_consumed'] = int(m.groupdict()['multicast_packets_consumed']) continue p21 = re.compile(r'^\s*Multicast *bytes: *(?P<multicast_bytes_forwarded>[0-9]+)\/' '(?P<multicast_bytes_originated>[0-9]+)\/' '(?P<multicast_bytes_consumed>[0-9]+)$') m = p21.match(line) if m: ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_forwarded'] = int(m.groupdict()['multicast_bytes_forwarded']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_originated'] = int(m.groupdict()['multicast_bytes_originated']) ipv6_interface_dict[interface]['ipv6']['counters']\ ['multicast_bytes_consumed'] = int(m.groupdict()['multicast_bytes_consumed']) continue return ipv6_interface_dict class ShowIpInterfaceBriefSchema(MetaParser): schema = {'interface': {Any(): {Optional('vlan_id'): {Optional(Any()): {'ip_address': str, 'interface_status': str, Optional('ipaddress_extension'): str} }, Optional('ip_address'): str, Optional('interface_status'): str, Optional('ipaddress_extension'): str} }, } class ShowIpInterfaceBrief(ShowIpInterfaceBriefSchema): cli_command = 'show ip interface brief' exclude = [ '(tunnel.*)'] def __init__ (self, *args, **kwargs): super().__init__(*args, **kwargs) self.cmd = self.cli_command def cli(self, output=None): if output is None: out = self.device.execute(self.cmd) else: out = output interface_dict = {} for line in out.splitlines(): line = line.rstrip() p1 = re.compile(r'^\s*Interface +IP Address +Interface Status$') m = p1.match(line) if m: continue p2 = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\.\-]+) +(?P<ip_address>[a-z0-9\.]+) +(?P<interface_status>[a-z\-\/]+)$') m = p2.match(line) if m: interface = m.groupdict()['interface'] if 'interface' not in interface_dict: interface_dict['interface'] = {} if interface not in interface_dict['interface']: interface_dict['interface'][interface] = {} if 'Vlan' in interface: vlan_id = str(int(re.search(r'\d+', interface).group())) if 'vlan_id' not in interface_dict['interface'][interface]: interface_dict['interface'][interface]['vlan_id'] = {} if vlan_id not in interface_dict['interface'][interface]['vlan_id']: interface_dict['interface'][interface]['vlan_id'][vlan_id] = {} interface_dict['interface'][interface]['vlan_id'][vlan_id]['ip_address'] = \ m.groupdict()['ip_address'] interface_dict['interface'][interface]['vlan_id'][vlan_id]['interface_status'] = \ m.groupdict()['interface_status'] else: interface_dict['interface'][interface]['ip_address'] = \ m.groupdict()['ip_address'] interface_dict['interface'][interface]['interface_status'] = \ m.groupdict()['interface_status'] continue p3 = re.compile(r'^\s*(?P<ipaddress_extension>$[a-z0-9]+$)$') m = p3.match(line) if m: ipaddress_extension = m.groupdict()['ipaddress_extension'] if 'Vlan' in interface: new_ip_address = interface_dict['interface']\ [interface]['vlan_id'][vlan_id]['ip_address'] + ipaddress_extension interface_dict['interface'][interface]['vlan_id'][vlan_id]['ip_address'] = \ new_ip_address else: new_ip_address = interface_dict['interface']\ [interface]['ip_address'] + ipaddress_extension interface_dict['interface'][interface]['ip_address'] = new_ip_address continue return interface_dict class ShowIpInterfaceBriefPipeVlan(ShowIpInterfaceBrief): cli_command = 'show ip interface brief | include Vlan' def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.cmd = self.cli_command class ShowInterfaceBriefSchema(MetaParser): schema = {'interface': {'ethernet': {Any(): {'vlan': str, 'type': str, 'mode': str, 'status': str, 'speed': str, 'reason': str, 'port_ch': str} }, Optional('port'): {Any(): {Optional('vrf'): str, Optional('status'): str, Optional('ip_address'): str, Optional('speed'): str, Optional('mtu'): int} }, Optional('port_channel'): {Any(): {Optional('vlan'): str, Optional('type'): str, Optional('mode'): str, Optional('status'): str, Optional('speed'): str, Optional('reason'): str, Optional('protocol'): str} }, Optional('loopback'): {Any(): {Optional('status'): str, Optional('description'): str} }, } } class ShowInterfaceBrief(ShowInterfaceBriefSchema): cli_command = ['show interface brief', 'show interface {interface} brief'] exclude = ['reason'] def cli(self, interface=None, output=None): if output is None: if interface: cmd = self.cli_command[1].format(interface=interface) else: cmd = self.cli_command[0] output = self.device.execute(cmd) parsed_dict = {} p1 = re.compile(r'^Port +VRF +Status +IP Address +Speed +MTU$') p2 = re.compile(r'^(?P<port>[a-zA-Z0-9]+) +(?P<vrf>[a-zA-Z0-9\-]+)' ' +(?P<status>[a-zA-Z]+) +(?P<ip_address>(\S+))' ' +(?P<speed>[0-9]+) +(?P<mtu>[0-9]+)$') p3 = re.compile(r'^Ethernet +VLAN +Type +Mode +Status +Reason +Speed' ' +Port$') p4 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<vlan>[a-zA-Z0-9\-]+)' ' +(?P<type>[a-zA-Z]+) +(?P<mode>[a-z]+)' ' +(?P<status>[a-z]+) +(?P<reason>[a-zA-Z\s]+)' ' +(?P<speed>[0-9a-zA-Z\s]+)' ' +(?P<port>[0-9\-]+)$') p5 = re.compile(r'^Port-channel +VLAN +Type +Mode +Status +Reason' ' +Speed +Protocol$') p6 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<vlan>[a-zA-Z0-9\-]+)' ' +(?P<type>[a-zA-Z]+) +(?P<mode>[a-z]+)' ' +(?P<status>[a-z]+) +(?P<reason>[a-zA-Z\s]+)' ' +(?P<speed>[0-9a-zA-Z\s]+)' ' +(?P<protocol>[a-zA-Z0-9\-]+)$') p7 = re.compile(r'^Interface +Status +Description$') p8 = re.compile(r'^(?P<interface>[a-zA-Z0-9\/]+) +(?P<status>[a-z]+)' ' +(?P<description>[a-zA-Z\s\-]+)$') for line in output.splitlines(): line = line.strip() m = p1.match(line) if m: port_dict = parsed_dict.setdefault('interface', {}).\ setdefault('port', {}) continue m = p2.match(line) if m: group = m.groupdict() intf_dict = port_dict.\ setdefault(Common.convert_intf_name(group['port']), {}) intf_dict['vrf'] = group['vrf'] intf_dict['status'] = group['status'] intf_dict['ip_address'] = group['ip_address'] intf_dict['speed'] = group['speed'] intf_dict['mtu'] = int(group['mtu']) continue m = p3.match(line) if m: eth_dict = parsed_dict.setdefault('interface', {}).\ setdefault('ethernet', {}) continue m = p4.match(line) if m: group = m.groupdict() intf_dict = eth_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['vlan'] = group['vlan'] intf_dict['type'] = group['type'] intf_dict['mode'] = group['mode'] intf_dict['status'] = group['status'] intf_dict['reason'] = group['reason'].strip() intf_dict['speed'] = group['speed'] intf_dict['port_ch'] = group['port'] continue m = p5.match(line) if m: pch_dict = parsed_dict.setdefault('interface', {}).\ setdefault('port_channel', {}) continue m = p6.match(line) if m: group = m.groupdict() intf_dict = pch_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['vlan'] = group['vlan'] intf_dict['type'] = group['type'] intf_dict['mode'] = group['mode'] intf_dict['status'] = group['status'] intf_dict['reason'] = group['reason'].strip() intf_dict['speed'] = group['speed'] intf_dict['protocol'] = group['protocol'] continue m = p7.match(line) if m: loopback_dict = parsed_dict.setdefault('interface', {}).\ setdefault('loopback', {}) continue m = p8.match(line) if m: group = m.groupdict() intf_dict = loopback_dict.\ setdefault(Common.convert_intf_name(group['interface']), {}) intf_dict['status'] = group['status'] intf_dict['description'] = group['description'] continue return parsed_dict class ShowRunningConfigInterfaceSchema(MetaParser): schema = {'interface': {Any(): {Optional('shutdown'): bool, Optional('switchport'): bool, Optional('switchport_mode'): str, Optional('trunk_vlans'): str, Optional('port_channel'):{ Optional('port_channel_mode'): str, Optional('port_channel_int'): str, }, Optional('host_reachability_protocol'): str, Optional('source_interface'): str, Optional('member_vni'): {Any(): {Optional('associate_vrf'): bool, Optional('mcast_group'): str, Optional('suppress_arp'): bool, } }, } }, } class ShowRunningConfigInterface(ShowRunningConfigInterfaceSchema): cli_command = 'show running-config interface {interface}' def cli(self, interface, output=None): if output is None: out = self.device.execute(self.cli_command.format(interface=interface)) else: out = output ret_dict = {} for line in out.splitlines(): line = line.strip() p1 = re.compile(r'^interface +(?P<intf_name>\S+)$') m = p1.match(line) if m: interface = str(m.groupdict()['intf_name']) interface_dict = ret_dict.setdefault('interface', {}). \ setdefault(interface, {}) continue p2 = re.compile(r'^\s*no shutdown$') m = p2.match(line) if m: interface_dict['shutdown'] = False continue p3 = re.compile(r'^\s*host-reachability protocol +(?P<protocol>[a-zA-Z]+)$') m = p3.match(line) if m: interface_dict['host_reachability_protocol'] = \ str(m.groupdict()['protocol']) continue p4 = re.compile(r'^\s*source-interface +(?P<src_intf>[a-zA-Z0-9\-]+)$') m = p4.match(line) if m: interface_dict['source_interface'] = \ str(m.groupdict()['src_intf']) continue p5 = re.compile(r'^\s*member vni +(?P<vni>[0-9\-]+)( +(?P<associate_vrf>[a-zA-Z\-]+))?$') m = p5.match(line) if m: if 'member_vni' not in interface_dict: interface_dict['member_vni'] = {} vni = str(m.groupdict()['vni']) if '-' in vni: vni_range = re.findall(r'(?P<first_vni>[0-9]+)\-(?P<last_vni>[0-9]+)?$', vni) members = range(int(vni_range[0][0]), int(vni_range[0][1])+1) else: members = [vni] for memb in members: interface_dict['member_vni'][str(memb)] = {} if m.groupdict()['associate_vrf']: interface_dict['member_vni'][str(memb)]['associate_vrf'] = \ True continue p6 = re.compile(r'^\s*mcast-group +(?P<ip>[0-9\.]+)$') m = p6.match(line) if m: for memb in members: interface_dict['member_vni'][str(memb)]['mcast_group'] = \ str(m.groupdict()['ip']) continue p7 = re.compile(r'^\s*suppress-arp$') m = p7.match(line) if m: for memb in members: interface_dict['member_vni'][str(memb)]['suppress_arp'] = \ True continue p8 = re.compile(r'^switchport$') m = p8.match(line) if m: interface_dict.update({'switchport': True}) continue p9 = re.compile(r'^switchport +mode +(?P<mode>\S+)$') m = p9.match(line) if m: group = m.groupdict() interface_dict.update({'switchport_mode': group['mode']}) continue p10 = re.compile(r'^switchport +trunk +allowed +vlan +(?P<trunk_vlans>\S+)$') m = p10.match(line) if m: group = m.groupdict() interface_dict.update({'trunk_vlans': group['trunk_vlans']}) continue p11 = re.compile(r'^channel-group +(?P<port_channel_int>\d+) +mode +(?P<mode>\S+)$') m = p11.match(line) if m: group = m.groupdict() port_channel_dict = interface_dict.setdefault('port_channel', {}) port_channel_dict.update({'port_channel_int': group['port_channel_int']}) port_channel_dict.update({'port_channel_mode': group['mode']}) continue return ret_dict class ShowNveInterfaceSchema(MetaParser): schema = {'interface': {Any(): {'state': str, Optional('encapsulation'): str, Optional('source_interface'): {Any(): {Optional('primary'): str, Optional('secondary'): str, } }, Optional('vpc_capability'): {Any(): {Optional('notified'): bool, } }, } }, } class ShowNveInterface(ShowNveInterfaceSchema): cli_command = 'show nve interface {interface} detail' def cli(self, interface, output=None): cmd = "" if output is None: if interface: cmd = self.cli_command.format(interface=interface) out = self.device.execute(cmd) else: out = output interface_dict = {} p1 = re.compile(r'^\s*Interface: +(?P<intf>[\w]+)\,' ' +State: +(?P<state>[\w]+)\, +encapsulation:' ' +(?P<encapsulation>[\w]+)$') p2 = re.compile(r'^\s*Source-Interface: +(?P<src_intf>[a-zA-Z0-9\-]+)' ' +$primary: +(?P<primary>[a-zA-Z0-9\.]+)\, +secondary:' ' +(?P<secondary>[a-zA-Z0-9\.]+)$$') p3 = re.compile(r'^\s*VPC Capability: +(?P<vpc>[a-zA-Z0-9\-]+)' ' +\[(?P<notified>[a-zA-Z\-]+)\]$') for line in out.splitlines(): line = line.rstrip() m = p1.match(line) if m: intf = str(m.groupdict()['intf']) if 'interface' not in interface_dict: interface_dict['interface'] = {} if intf not in interface_dict['interface']: interface_dict['interface'][intf] = {} interface_dict['interface'][intf]['state'] = \ str(m.groupdict()['state']) interface_dict['interface'][intf]['encapsulation'] = \ str(m.groupdict()['encapsulation']) continue m = p2.match(line) if m: src_intf = str(m.groupdict()['src_intf']) if 'source_interface' not in interface_dict['interface'][intf]: interface_dict['interface'][intf]['source_interface'] = {} if src_intf not in interface_dict['interface'][intf]['source_interface']: interface_dict['interface'][intf]['source_interface'][src_intf] = {} interface_dict['interface'][intf]['source_interface'][src_intf]['primary'] = \ str(m.groupdict()['primary']) interface_dict['interface'][intf]['source_interface'][src_intf]['secondary'] = \ str(m.groupdict()['secondary']) continue m = p3.match(line) if m: vpc = str(m.groupdict()['vpc']) notified = str(m.groupdict()['notified']) if 'vpc_capability' not in interface_dict['interface'][intf]: interface_dict['interface'][intf]['vpc_capability'] = {} if vpc not in interface_dict['interface'][intf]['vpc_capability']: interface_dict['interface'][intf]['vpc_capability'][vpc] = {} if notified == 'notified': interface_dict['interface'][intf]['vpc_capability'][vpc]['notified'] = \ True else: interface_dict['interface'][intf]['vpc_capability'][vpc]['notified'] = \ False continue return interface_dict class ShowIpInterfaceBriefVrfAllSchema(MetaParser): schema = {'interface': {Any(): {Optional('ip_address'): str, Optional('interface_status'): str} }, } class ShowIpInterfaceBriefVrfAll(ShowIpInterfaceBriefVrfAllSchema): cli_command = ['show ip interface brief vrf all | include {ip}', 'show ip interface brief vrf all'] def cli(self, ip='', output=None): if output is None: if ip: cmd = self.cli_command[0].format(ip=ip) else: cmd = self.cli_command[1] out = self.device.execute(cmd) else: out = output interface_dict = {} p = re.compile(r'^\s*(?P<interface>[a-zA-Z0-9\/\.\-]+) ' '+(?P<ip_address>[a-z0-9\.]+) +(?P<interface_status>[a-z\-\/]+)$') for line in out.splitlines(): line = line.rstrip() m = p.match(line) if m: interface = m.groupdict()['interface'] if 'interface' not in interface_dict: interface_dict['interface'] = {} if interface not in interface_dict['interface']: interface_dict['interface'][interface] = {} interface_dict['interface'][interface]['ip_address'] = \ str(m.groupdict()['ip_address']) interface_dict['interface'][interface]['interface_status'] = \ str(m.groupdict()['interface_status']) continue return interface_dict

true

f73d37f0383eae749e39ec21857ae0e174a2118b

266

py

Python

Python/grading.py

mimseyedi/Kattis

a99ea2112544e89cc466feb7d81ffe6eb017f7e2

[ "MIT" ]

null

Python/grading.py

mimseyedi/Kattis

a99ea2112544e89cc466feb7d81ffe6eb017f7e2

[ "MIT" ]

null

Python/grading.py

mimseyedi/Kattis

a99ea2112544e89cc466feb7d81ffe6eb017f7e2

[ "MIT" ]

null

a, b, c, d, e = map(int, input().split()) score = int(input()) if 100 >= score >= a: print('A') elif a > score >= b: print('B') elif b > score >= c: print('C') elif c > score >= d: print('D') elif d > score >= e: print('E') else: print('F')

16.625

41

0.484962

a, b, c, d, e = map(int, input().split()) score = int(input()) if 100 >= score >= a: print('A') elif a > score >= b: print('B') elif b > score >= c: print('C') elif c > score >= d: print('D') elif d > score >= e: print('E') else: print('F')

true

f73d380cb15edd93a744b3cbc98bfa32b1a02445

20,643

py

Python

wfs.py

B0und/WaifuFileSort

377c2c73a1dc0eaf6c6fd709b41c2b85e2658cfd

[ "MIT" ]

1

2021-09-16T22:35:45.000Z

wfs.py

B0und/WaifuFileSort

377c2c73a1dc0eaf6c6fd709b41c2b85e2658cfd

[ "MIT" ]

null

wfs.py

B0und/WaifuFileSort

377c2c73a1dc0eaf6c6fd709b41c2b85e2658cfd

[ "MIT" ]

1

2021-09-16T22:35:46.000Z

# import convert_ui_and_qrc_files import json import os import pathlib import shutil import sys from functools import partial from pprint import pprint import imagehash from PIL import Image from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import Qt from PyQt5.QtGui import QColor, QKeySequence, QPalette from PyQt5.QtWidgets import (QAbstractItemView, QDialog, QFileDialog, QFileSystemModel, QShortcut) from send2trash import send2trash from main_ui import Ui_MainWindow from vers import get_version if not os.path.exists('delete'): os.makedirs('delete') class MainWindow(QtWidgets.QMainWindow): def __init__(self): super(MainWindow, self).__init__() self.setAttribute(QtCore.Qt.WA_DeleteOnClose) self.ui = Ui_MainWindow() self.ui.setupUi(self) # style window self.setWindowTitle("Waifu File Sort") app_icon = QtGui.QIcon() app_icon.addFile("./icons/waifu_sort.png", QtCore.QSize(256, 256)) self.setWindowIcon(app_icon) # store important data self.path_hotkey_dict = {} self.hotkey_path_dict = {} self._shortcut_list = [] self.undo_list = [] self.delete_folder = str(pathlib.Path(find_data_file("delete"))) self.current_file_folder = "" self.pic_ext_list = [".jpg", ".png", ".webp", ".JPEG", ".PNG"] self.default_palette = QtGui.QGuiApplication.palette() # initialize source directory self.model = QFileSystemModel() self.model.setNameFilters( ["*.jpg", "*.png", "*.webp", "*.JPEG", "*.PNG"]) self.model.setNameFilterDisables(False) self.ui.treeView.setModel(self.model) self.ui.treeView.setSelectionMode(QAbstractItemView.SingleSelection) self.ui.tableWidget.setSelectionMode( QtWidgets.QAbstractItemView.SingleSelection ) self.ui.treeView.selectionModel().selectionChanged.connect( self.update_image_label ) # hotkeys self.delShortcut = QShortcut(QKeySequence("Delete"), self) self.delShortcut.activated.connect( partial(self.move_cb, None, self.delete_folder) ) self.undoShortcut = QShortcut(QKeySequence("Ctrl+Z"), self) self.undoShortcut.activated.connect(self.undo_cb) # callbacks init self.ui.browseBtn.clicked.connect(self.browse_source_click) self.ui.addDest.clicked.connect(self.add_dest_to_table) self.ui.removeDest.clicked.connect(self.remove_destination) self.ui.actionAbout.triggered.connect(self.show_about_dialog) self.ui.actionSave_Preset.triggered.connect(self.save_preset_cb) self.ui.actionLoad_Preset.triggered.connect(self.load_preset_cb) self.ui.actionClear_Delete_Folder.triggered.connect(self.clear_deleted_folder) self.ui.unmoveBtn.clicked.connect(self.undo_cb) self.ui.checkDeletedBtn.clicked.connect(self.check_deleted_btn_cb) self.ui.actionFancy.triggered.connect(self.set_fancy_style) self.ui.actionLight.triggered.connect(self.set_light_style) self.ui.actionDark.triggered.connect(self.set_dark_style) self.ui.comboMode.currentTextChanged.connect(self.change_file_type) self.ui.actionOrange.triggered.connect(self.set_orange_style) self.ui.actionRemove_Duplicates.triggered.connect( self.remove_duplicate_pictures) self.ui.actionRemove_Duplicates_Recursively.triggered.connect( partial(self.remove_duplicate_pictures, recursive_delete=True)) self.set_dark_style() def remove_duplicate_pictures(self, recursive_delete=False): root_path = self.model.rootPath() if root_path == ".": return # if source destination wasnt chosen # check for missclick msg = "Are you sure you want to delete (trash bin) duplicate pictures from source folder?" reply = QtWidgets.QMessageBox.question(self, 'Message', msg, QtWidgets.QMessageBox.Yes, QtWidgets.QMessageBox.No) if reply != QtWidgets.QMessageBox.Yes: return # gather pictures from root path all_pictures = [] if recursive_delete: # recursive search for path in pathlib.Path(root_path).glob(r'**/*'): if path.suffix in self.pic_ext_list: all_pictures.append(path) else: # non recursive for path in pathlib.Path(root_path).glob(r'*'): if path.suffix in self.pic_ext_list: all_pictures.append(path) # add phash of picture to dictionary, replace with shorter filename if same hash found result_pics = {} for path in all_pictures: with Image.open(path) as img: img_hash = str(imagehash.phash(img)) if img_hash in result_pics: dict_fname = result_pics[img_hash].stem if len(path.stem) < len(dict_fname): result_pics[img_hash] = path else: result_pics[img_hash] = path result_pics = {value: key for key, value in result_pics.items()} # delete all pictures that are not in a result_pics dict for path in all_pictures: if path not in result_pics: try: shutil.move(str(path), self.delete_folder) except shutil.Error: send2trash(str(path)) QtWidgets.QMessageBox.about(self, "Info", "Done") def add_text_to_buttons(self): self.ui.addDest.setText("Add") self.ui.removeDest.setText("Remove") self.ui.browseBtn.setText("Browse") self.ui.checkDeletedBtn.setText("Deleted") self.ui.unmoveBtn.setText("Undo") def remove_text_from_buttons(self): self.ui.addDest.setText("") self.ui.removeDest.setText("") self.ui.browseBtn.setText("") self.ui.checkDeletedBtn.setText("") self.ui.unmoveBtn.setText("") def set_orange_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) with open("./styles/orange.css") as f: style_text = f.read() self.setStyleSheet(style_text) self.add_text_to_buttons() def set_fancy_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) with open("./styles/fancy.css") as f: style_text = f.read() self.setStyleSheet(style_text) self.remove_text_from_buttons() def set_light_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) self.setStyleSheet(" ") self.add_text_to_buttons() def set_dark_style(self): self.setStyleSheet(" ") self.add_text_to_buttons() dark_palette = QPalette() dark_palette.setColor(QPalette.Window, QColor(53, 53, 53)) dark_palette.setColor(QPalette.WindowText, Qt.white) dark_palette.setColor(QPalette.Base, QColor(25, 25, 25)) dark_palette.setColor(QPalette.AlternateBase, QColor(53, 53, 53)) dark_palette.setColor(QPalette.ToolTipBase, Qt.white) dark_palette.setColor(QPalette.ToolTipText, Qt.white) dark_palette.setColor(QPalette.Text, Qt.white) dark_palette.setColor(QPalette.Button, QColor(53, 53, 53)) dark_palette.setColor(QPalette.ButtonText, Qt.white) dark_palette.setColor(QPalette.BrightText, Qt.red) dark_palette.setColor(QPalette.Link, QColor(42, 130, 218)) dark_palette.setColor(QPalette.Highlight, QColor(42, 130, 218)) dark_palette.setColor(QPalette.HighlightedText, Qt.black) QtGui.QGuiApplication.setPalette(dark_palette) def change_file_type(self): """ Change source directory display between pictures and files """ mode = self.ui.comboMode.currentText() if mode == "Files": self.model.setNameFilters(["*.*"]) elif mode == "Pictures": self.model.setNameFilters( ["*.jpg", "*.png", "*.webp", ".JPEG", ".PNG"]) def check_deleted_btn_cb(self): """ This is supposed to change model view to the deleted folder, and second press is supposed to bring you back to the previous folder, but it doesnt work if you dont select an image in deleted folder. """ ind = self.ui.treeView.currentIndex() file_path = self.model.filePath(ind) try: file_path = pathlib.Path(file_path).parents[0].resolve() except IndexError: return if file_path != pathlib.Path(self.delete_folder).resolve(): self.model.setRootPath(self.delete_folder) self.ui.treeView.setRootIndex(self.model.index(self.delete_folder)) else: self.model.setRootPath(self.current_file_folder) self.ui.treeView.setRootIndex( self.model.index(self.current_file_folder)) def clear_deleted_folder(self): msg = "Are you sure you want to clear folder with deleted files?" reply = QtWidgets.QMessageBox.question(self, 'Message', msg, QtWidgets.QMessageBox.Yes, QtWidgets.QMessageBox.No) if reply == QtWidgets.QMessageBox.Yes: p = pathlib.Path(self.delete_folder) for filename in p.glob("*"): send2trash(str(filename)) QtWidgets.QMessageBox.about( self, "Delete folder cleared", "Delete folder cleared" ) def undo_cb(self): """ Store actions in a list, revert them 1 by 1 """ try: last_operation = self.undo_list[-1] except IndexError: return pic_path, dest_path = last_operation pic_path = pathlib.Path(pic_path) dest_path = pathlib.Path(dest_path, pic_path.name) pic_path, dest_path = dest_path, pic_path # print(pic_path.parents[0], dest_path) try: shutil.move(pic_path, str(dest_path)) except shutil.Error: QtWidgets.QMessageBox.warning( self, "Warning", "File already exists") except AttributeError: return except FileNotFoundError: return del self.undo_list[-1] def load_preset_cb(self): """ Load user settings from file """ dialog = QFileDialog() dialog.setFilter(dialog.filter() | QtCore.QDir.Hidden) dialog.setDefaultSuffix("json") dialog.setAcceptMode(QFileDialog.AcceptOpen) dialog.setNameFilters(["JSON (*.json)"]) if dialog.exec_() == QDialog.Accepted: preset_path = dialog.selectedFiles()[0] self.path_hotkey_dict = load_json(preset_path) self.path_hotkey_dict = { k: v for k, v in self.path_hotkey_dict.items() if v is not None } print("loaded dict: ", self.path_hotkey_dict) self.hotkey_path_dict = { value: key for key, value in self.path_hotkey_dict.items() } self.restore_table_from_dict() else: print("Cancelled") def save_preset_cb(self): """ Save user settings to file """ dialog = QFileDialog() dialog.setFilter(dialog.filter() | QtCore.QDir.Hidden) dialog.setDefaultSuffix("json") dialog.setAcceptMode(QFileDialog.AcceptSave) dialog.setNameFilters(["JSON (*.json)"]) if dialog.exec_() == QDialog.Accepted: preset_path = dialog.selectedFiles()[0] save_json(self.path_hotkey_dict, preset_path) QtWidgets.QMessageBox.information( self, "Saved", f"Saved hotkey preset: {preset_path}" ) else: print("Cancelled") def show_about_dialog(self): text = ( "<center>" "<h1>Waifu File Sort</h1>" "⁣" "</center>" f"<p>Version {get_version()}<br/>" ) QtWidgets.QMessageBox.about(self, "About Waifu File Sort", text) def restore_table_from_dict(self): self.clear_table_widget() row_counter = 0 for shortcut in self._shortcut_list: shortcut.setEnabled(False) self._shortcut_list = [] for path, hotkey in self.path_hotkey_dict.items(): path = pathlib.Path(path) self.add_dest_to_table(dest_path=path.name, hotkey=hotkey) self.ui.tableWidget.item(row_counter, 0).setToolTip(str(path)) shortcut = QShortcut(QKeySequence(hotkey), self) shortcut.activated.connect( lambda mypath=path: self.move_cb(input_path=mypath)) self._shortcut_list.append(shortcut) row_counter += 1 def clear_table_widget(self): self.ui.tableWidget.clearContents() self.ui.tableWidget.setRowCount(0) def remove_destination(self): # get selected row or return # delete info from both dicts # reconstruct table widget from dict current_row = self.ui.tableWidget.currentRow() # print(f"{current_row=}") try: dest_path = self.ui.tableWidget.item(current_row, 0).toolTip() except AttributeError: return hotkey = self.ui.tableWidget.cellWidget(current_row, 2).text() # print("deleting hotkey: ", hotkey) self.delete_hotkey(hotkey) try: del self.path_hotkey_dict[dest_path] except KeyError: pass try: del self.hotkey_path_dict[hotkey] except KeyError: pass self.restore_table_from_dict() def delete_hotkey(self, name): for shortcut in self._shortcut_list: key_name = shortcut.key().toString() # print("k-name: ", key_name) if key_name == name.upper(): # print("DELETED hotkey: ", name) shortcut.setEnabled(False) def add_dest_to_table(self, dest_path=None, hotkey=None): self.ui.tableWidget.setEditTriggers( self.ui.tableWidget.NoEditTriggers ) # disable editing and sorting self.ui.tableWidget.setSortingEnabled(False) row_counter = self.ui.tableWidget.rowCount() self.ui.tableWidget.insertRow(row_counter) ######################################################## # add path label dest_path = QtWidgets.QTableWidgetItem( dest_path or "Press browse to specify destination directory" ) self.ui.tableWidget.setItem(row_counter, 0, dest_path) ######################################################## # add browse button browse_btn = QtWidgets.QPushButton("Browse") browse_btn.clicked.connect( lambda *args, row_ind=row_counter: self.browse_dest_click(row_ind) ) self.ui.tableWidget.setCellWidget(row_counter, 1, browse_btn) ######################################################## # add hotkey line edit hotkey_line = QtWidgets.QLineEdit() hotkey_line.setPlaceholderText("Add hotkey") hotkey_line.setText(hotkey) hotkey_line.setMaxLength(1) hotkey_line.textChanged.connect( lambda *args, row_ind=row_counter: self.hotkey_line_text_changed_cb( hotkey_line, row_ind ) ) self.ui.tableWidget.setCellWidget(row_counter, 2, hotkey_line) ######################################################## # add send button send_btn = QtWidgets.QPushButton("Send") send_btn.clicked.connect( lambda *args, row_ind=row_counter: self.move_cb(row=row_ind) ) self.ui.tableWidget.setCellWidget(row_counter, 3, send_btn) def move_cb(self, row=None, input_path=None): ind = self.ui.treeView.currentIndex() pic_path = self.model.filePath(ind) dest_path = input_path or self.ui.tableWidget.item(row, 0).toolTip() dest_path = pathlib.Path(dest_path) if dest_path.is_dir() and str(dest_path) != ".": try: shutil.move(pic_path, str(dest_path)) except shutil.Error: QtWidgets.QMessageBox.warning( self, "Warning", "File already exists") return self.undo_list.append((pic_path, str(dest_path))) else: # notify user QtWidgets.QMessageBox.warning( self, "Warning", "Press Browse to add destination folder" ) def hotkey_line_text_changed_cb(self, hotkey_line, row_ind): hotkey = hotkey_line.text() path = self.ui.tableWidget.item(row_ind, 0).toolTip() if not path and len(hotkey) > 0: QtWidgets.QMessageBox.warning( self, "Warning", "Press Browse to add destination folder, add hotkey after" ) hotkey_line.clear() hotkey_line.clearFocus() return # check if hotkey line edit is empty and delete hotkey if len(hotkey) == 0 and path != "": hotkey_to_del = self.path_hotkey_dict[path] self.delete_hotkey(hotkey_to_del) self.path_hotkey_dict[path] = hotkey self.hotkey_path_dict = { value: key for key, value in self.path_hotkey_dict.items() } shortcut = QShortcut(QKeySequence(hotkey), self) # self._shortcut_list.append(shortcut.key().toString()) self._shortcut_list.append(shortcut) dest_path = self.hotkey_path_dict[hotkey] shortcut.activated.connect(lambda: self.move_cb(input_path=dest_path)) if len(hotkey) > 0: hotkey_line.clearFocus() def browse_dest_click(self, caller_row): # print(caller_row) dialog = QFileDialog() folder_path = dialog.getExistingDirectory(None, "Select Folder") p = pathlib.Path(folder_path) if folder_path: self.ui.tableWidget.item(caller_row, 0).setText(p.name) self.ui.tableWidget.item(caller_row, 0).setToolTip(str(p)) self.path_hotkey_dict[str(p)] = self.ui.tableWidget.cellWidget( caller_row, 2 ).text() def browse_source_click(self): dialog = QFileDialog() folder_path = dialog.getExistingDirectory(None, "Select Folder") if folder_path: self.model.setRootPath(folder_path) self.ui.treeView.setRootIndex(self.model.index(folder_path)) def update_image_label(self): ind = self.ui.treeView.currentIndex() file_path = self.model.filePath(ind) # keep track of current folder for check button return location try: path_to_current_folder = pathlib.Path(file_path).parents[0] except IndexError: return # fix click on C drive crash if str(path_to_current_folder.resolve()) != str( pathlib.Path(self.delete_folder).resolve() ): self.current_file_folder = str(path_to_current_folder) pixmap = QtGui.QPixmap(file_path) pixmap = pixmap.scaled( self.ui.imageLabel.width(), self.ui.imageLabel.height(), QtCore.Qt.KeepAspectRatio, ) self.ui.imageLabel.setPixmap(pixmap) self.ui.imageLabel.setAlignment(QtCore.Qt.AlignCenter) def save_json(data, result_name_with_ext): with open(result_name_with_ext, "w") as fp: json.dump(data, fp) def load_json(input_name_and_ext): with open(input_name_and_ext, "r") as fp: data = json.load(fp) return data def find_data_file(folder, filename=None): if getattr(sys, "frozen", False): # The application is frozen datadir = os.path.dirname(sys.executable) else: # The application is not frozen datadir = os.path.dirname(__file__) # The following line has been changed to match where you store your data files: if filename: return os.path.join(datadir, folder, filename) else: return os.path.join(datadir, folder) if __name__ == "__main__": app = QtWidgets.QApplication(sys.argv) app.setStyle("Fusion") w = MainWindow() w.show() sys.exit(app.exec_())

37.877064

98

0.614688

import json import os import pathlib import shutil import sys from functools import partial from pprint import pprint import imagehash from PIL import Image from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import Qt from PyQt5.QtGui import QColor, QKeySequence, QPalette from PyQt5.QtWidgets import (QAbstractItemView, QDialog, QFileDialog, QFileSystemModel, QShortcut) from send2trash import send2trash from main_ui import Ui_MainWindow from vers import get_version if not os.path.exists('delete'): os.makedirs('delete') class MainWindow(QtWidgets.QMainWindow): def __init__(self): super(MainWindow, self).__init__() self.setAttribute(QtCore.Qt.WA_DeleteOnClose) self.ui = Ui_MainWindow() self.ui.setupUi(self) self.setWindowTitle("Waifu File Sort") app_icon = QtGui.QIcon() app_icon.addFile("./icons/waifu_sort.png", QtCore.QSize(256, 256)) self.setWindowIcon(app_icon) self.path_hotkey_dict = {} self.hotkey_path_dict = {} self._shortcut_list = [] self.undo_list = [] self.delete_folder = str(pathlib.Path(find_data_file("delete"))) self.current_file_folder = "" self.pic_ext_list = [".jpg", ".png", ".webp", ".JPEG", ".PNG"] self.default_palette = QtGui.QGuiApplication.palette() self.model = QFileSystemModel() self.model.setNameFilters( ["*.jpg", "*.png", "*.webp", "*.JPEG", "*.PNG"]) self.model.setNameFilterDisables(False) self.ui.treeView.setModel(self.model) self.ui.treeView.setSelectionMode(QAbstractItemView.SingleSelection) self.ui.tableWidget.setSelectionMode( QtWidgets.QAbstractItemView.SingleSelection ) self.ui.treeView.selectionModel().selectionChanged.connect( self.update_image_label ) self.delShortcut = QShortcut(QKeySequence("Delete"), self) self.delShortcut.activated.connect( partial(self.move_cb, None, self.delete_folder) ) self.undoShortcut = QShortcut(QKeySequence("Ctrl+Z"), self) self.undoShortcut.activated.connect(self.undo_cb) self.ui.browseBtn.clicked.connect(self.browse_source_click) self.ui.addDest.clicked.connect(self.add_dest_to_table) self.ui.removeDest.clicked.connect(self.remove_destination) self.ui.actionAbout.triggered.connect(self.show_about_dialog) self.ui.actionSave_Preset.triggered.connect(self.save_preset_cb) self.ui.actionLoad_Preset.triggered.connect(self.load_preset_cb) self.ui.actionClear_Delete_Folder.triggered.connect(self.clear_deleted_folder) self.ui.unmoveBtn.clicked.connect(self.undo_cb) self.ui.checkDeletedBtn.clicked.connect(self.check_deleted_btn_cb) self.ui.actionFancy.triggered.connect(self.set_fancy_style) self.ui.actionLight.triggered.connect(self.set_light_style) self.ui.actionDark.triggered.connect(self.set_dark_style) self.ui.comboMode.currentTextChanged.connect(self.change_file_type) self.ui.actionOrange.triggered.connect(self.set_orange_style) self.ui.actionRemove_Duplicates.triggered.connect( self.remove_duplicate_pictures) self.ui.actionRemove_Duplicates_Recursively.triggered.connect( partial(self.remove_duplicate_pictures, recursive_delete=True)) self.set_dark_style() def remove_duplicate_pictures(self, recursive_delete=False): root_path = self.model.rootPath() if root_path == ".": return msg = "Are you sure you want to delete (trash bin) duplicate pictures from source folder?" reply = QtWidgets.QMessageBox.question(self, 'Message', msg, QtWidgets.QMessageBox.Yes, QtWidgets.QMessageBox.No) if reply != QtWidgets.QMessageBox.Yes: return all_pictures = [] if recursive_delete: for path in pathlib.Path(root_path).glob(r'**/*'): if path.suffix in self.pic_ext_list: all_pictures.append(path) else: for path in pathlib.Path(root_path).glob(r'*'): if path.suffix in self.pic_ext_list: all_pictures.append(path) result_pics = {} for path in all_pictures: with Image.open(path) as img: img_hash = str(imagehash.phash(img)) if img_hash in result_pics: dict_fname = result_pics[img_hash].stem if len(path.stem) < len(dict_fname): result_pics[img_hash] = path else: result_pics[img_hash] = path result_pics = {value: key for key, value in result_pics.items()} for path in all_pictures: if path not in result_pics: try: shutil.move(str(path), self.delete_folder) except shutil.Error: send2trash(str(path)) QtWidgets.QMessageBox.about(self, "Info", "Done") def add_text_to_buttons(self): self.ui.addDest.setText("Add") self.ui.removeDest.setText("Remove") self.ui.browseBtn.setText("Browse") self.ui.checkDeletedBtn.setText("Deleted") self.ui.unmoveBtn.setText("Undo") def remove_text_from_buttons(self): self.ui.addDest.setText("") self.ui.removeDest.setText("") self.ui.browseBtn.setText("") self.ui.checkDeletedBtn.setText("") self.ui.unmoveBtn.setText("") def set_orange_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) with open("./styles/orange.css") as f: style_text = f.read() self.setStyleSheet(style_text) self.add_text_to_buttons() def set_fancy_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) with open("./styles/fancy.css") as f: style_text = f.read() self.setStyleSheet(style_text) self.remove_text_from_buttons() def set_light_style(self): QtGui.QGuiApplication.setPalette(self.default_palette) self.setStyleSheet(" ") self.add_text_to_buttons() def set_dark_style(self): self.setStyleSheet(" ") self.add_text_to_buttons() dark_palette = QPalette() dark_palette.setColor(QPalette.Window, QColor(53, 53, 53)) dark_palette.setColor(QPalette.WindowText, Qt.white) dark_palette.setColor(QPalette.Base, QColor(25, 25, 25)) dark_palette.setColor(QPalette.AlternateBase, QColor(53, 53, 53)) dark_palette.setColor(QPalette.ToolTipBase, Qt.white) dark_palette.setColor(QPalette.ToolTipText, Qt.white) dark_palette.setColor(QPalette.Text, Qt.white) dark_palette.setColor(QPalette.Button, QColor(53, 53, 53)) dark_palette.setColor(QPalette.ButtonText, Qt.white) dark_palette.setColor(QPalette.BrightText, Qt.red) dark_palette.setColor(QPalette.Link, QColor(42, 130, 218)) dark_palette.setColor(QPalette.Highlight, QColor(42, 130, 218)) dark_palette.setColor(QPalette.HighlightedText, Qt.black) QtGui.QGuiApplication.setPalette(dark_palette) def change_file_type(self): mode = self.ui.comboMode.currentText() if mode == "Files": self.model.setNameFilters(["*.*"]) elif mode == "Pictures": self.model.setNameFilters( ["*.jpg", "*.png", "*.webp", ".JPEG", ".PNG"]) def check_deleted_btn_cb(self): ind = self.ui.treeView.currentIndex() file_path = self.model.filePath(ind) try: file_path = pathlib.Path(file_path).parents[0].resolve() except IndexError: return if file_path != pathlib.Path(self.delete_folder).resolve(): self.model.setRootPath(self.delete_folder) self.ui.treeView.setRootIndex(self.model.index(self.delete_folder)) else: self.model.setRootPath(self.current_file_folder) self.ui.treeView.setRootIndex( self.model.index(self.current_file_folder)) def clear_deleted_folder(self): msg = "Are you sure you want to clear folder with deleted files?" reply = QtWidgets.QMessageBox.question(self, 'Message', msg, QtWidgets.QMessageBox.Yes, QtWidgets.QMessageBox.No) if reply == QtWidgets.QMessageBox.Yes: p = pathlib.Path(self.delete_folder) for filename in p.glob("*"): send2trash(str(filename)) QtWidgets.QMessageBox.about( self, "Delete folder cleared", "Delete folder cleared" ) def undo_cb(self): try: last_operation = self.undo_list[-1] except IndexError: return pic_path, dest_path = last_operation pic_path = pathlib.Path(pic_path) dest_path = pathlib.Path(dest_path, pic_path.name) pic_path, dest_path = dest_path, pic_path try: shutil.move(pic_path, str(dest_path)) except shutil.Error: QtWidgets.QMessageBox.warning( self, "Warning", "File already exists") except AttributeError: return except FileNotFoundError: return del self.undo_list[-1] def load_preset_cb(self): dialog = QFileDialog() dialog.setFilter(dialog.filter() | QtCore.QDir.Hidden) dialog.setDefaultSuffix("json") dialog.setAcceptMode(QFileDialog.AcceptOpen) dialog.setNameFilters(["JSON (*.json)"]) if dialog.exec_() == QDialog.Accepted: preset_path = dialog.selectedFiles()[0] self.path_hotkey_dict = load_json(preset_path) self.path_hotkey_dict = { k: v for k, v in self.path_hotkey_dict.items() if v is not None } print("loaded dict: ", self.path_hotkey_dict) self.hotkey_path_dict = { value: key for key, value in self.path_hotkey_dict.items() } self.restore_table_from_dict() else: print("Cancelled") def save_preset_cb(self): dialog = QFileDialog() dialog.setFilter(dialog.filter() | QtCore.QDir.Hidden) dialog.setDefaultSuffix("json") dialog.setAcceptMode(QFileDialog.AcceptSave) dialog.setNameFilters(["JSON (*.json)"]) if dialog.exec_() == QDialog.Accepted: preset_path = dialog.selectedFiles()[0] save_json(self.path_hotkey_dict, preset_path) QtWidgets.QMessageBox.information( self, "Saved", f"Saved hotkey preset: {preset_path}" ) else: print("Cancelled") def show_about_dialog(self): text = ( "<center>" "<h1>Waifu File Sort</h1>" "⁣" "</center>" f"<p>Version {get_version()}<br/>" ) QtWidgets.QMessageBox.about(self, "About Waifu File Sort", text) def restore_table_from_dict(self): self.clear_table_widget() row_counter = 0 for shortcut in self._shortcut_list: shortcut.setEnabled(False) self._shortcut_list = [] for path, hotkey in self.path_hotkey_dict.items(): path = pathlib.Path(path) self.add_dest_to_table(dest_path=path.name, hotkey=hotkey) self.ui.tableWidget.item(row_counter, 0).setToolTip(str(path)) shortcut = QShortcut(QKeySequence(hotkey), self) shortcut.activated.connect( lambda mypath=path: self.move_cb(input_path=mypath)) self._shortcut_list.append(shortcut) row_counter += 1 def clear_table_widget(self): self.ui.tableWidget.clearContents() self.ui.tableWidget.setRowCount(0) def remove_destination(self): current_row = self.ui.tableWidget.currentRow() try: dest_path = self.ui.tableWidget.item(current_row, 0).toolTip() except AttributeError: return hotkey = self.ui.tableWidget.cellWidget(current_row, 2).text() self.delete_hotkey(hotkey) try: del self.path_hotkey_dict[dest_path] except KeyError: pass try: del self.hotkey_path_dict[hotkey] except KeyError: pass self.restore_table_from_dict() def delete_hotkey(self, name): for shortcut in self._shortcut_list: key_name = shortcut.key().toString() if key_name == name.upper(): shortcut.setEnabled(False) def add_dest_to_table(self, dest_path=None, hotkey=None): self.ui.tableWidget.setEditTriggers( self.ui.tableWidget.NoEditTriggers ) self.ui.tableWidget.setSortingEnabled(False) row_counter = self.ui.tableWidget.rowCount() self.ui.tableWidget.insertRow(row_counter)

true

f73d390476569b26a584abed301f23bccace7db5

4,340

py

Python

helps/deap/deap-master/examples/ga/xkcd.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

1

2019-03-21T15:32:19.000Z

helps/deap/deap-master/examples/ga/xkcd.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

null

helps/deap/deap-master/examples/ga/xkcd.py

GrimRanger/GeneticAlgorithm

93fa476e82d610f8622276526baa269303a058e0

[ "MIT" ]

null

# This file is part of DEAP. # # DEAP is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as # published by the Free Software Foundation, either version 3 of # the License, or (at your option) any later version. # # DEAP is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with DEAP. If not, see <http://www.gnu.org/licenses/>. """This example shows a possible answer to a problem that can be found in this xkcd comics: http://xkcd.com/287/. In the comic, the characters want to get exactly 15.05$ worth of appetizers, as fast as possible.""" import random from operator import attrgetter from collections import Counter # We delete the reduction function of the Counter because it doesn't copy added # attributes. Because we create a class that inherit from the Counter, the # fitness attribute was not copied by the deepcopy. del Counter.__reduce__ import numpy from deap import algorithms from deap import base from deap import creator from deap import tools IND_INIT_SIZE = 3 # Create the item dictionary: item id is an integer, and value is # a (name, weight, value) 3-uple. Since the comic didn't specified a time for # each menu item, random was called to generate a time. ITEMS_NAME = "Mixed Fruit", "French Fries", "Side Salad", "Hot Wings", "Mozzarella Sticks", "Sampler Plate" ITEMS_PRICE = 2.15, 2.75, 3.35, 3.55, 4.2, 5.8 ITEMS = dict((name, (price, random.uniform(1, 5))) for name, price in zip(ITEMS_NAME, ITEMS_PRICE)) creator.create("Fitness", base.Fitness, weights=(-1.0, -1.0)) creator.create("Individual", Counter, fitness=creator.Fitness) toolbox = base.Toolbox() toolbox.register("attr_item", random.choice, ITEMS_NAME) toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attr_item, IND_INIT_SIZE) toolbox.register("population", tools.initRepeat, list, toolbox.individual) def evalXKCD(individual, target_price): """Evaluates the fitness and return the error on the price and the time taken by the order if the chef can cook everything in parallel.""" price = 0.0 times = list() for item, number in individual.items(): price += ITEMS[item][0] * number times.append(ITEMS[item][1]) return abs(price - target_price), max(times) def cxCounter(ind1, ind2, indpb): """Swaps the number of perticular items between two individuals""" for key in ITEMS.keys(): if random.random() < indpb: ind1[key], ind2[key] = ind2[key], ind1[key] return ind1, ind2 def mutCounter(individual): """Adds or remove an item from an individual""" if random.random() > 0.5: individual.update([random.choice(ITEMS_NAME)]) else: val = random.choice(ITEMS_NAME) individual.subtract([val]) if individual[val] < 0: del individual[val] return individual, toolbox.register("evaluate", evalXKCD, target_price=15.05) toolbox.register("mate", cxCounter, indpb=0.5) toolbox.register("mutate", mutCounter) toolbox.register("select", tools.selNSGA2) def main(): NGEN = 40 MU = 100 LAMBDA = 200 CXPB = 0.3 MUTPB = 0.6 pop = toolbox.population(n=MU) hof = tools.ParetoFront() price_stats = tools.Statistics(key=lambda ind: ind.fitness.values[0]) time_stats = tools.Statistics(key=lambda ind: ind.fitness.values[1]) stats = tools.MultiStatistics(price=price_stats, time=time_stats) stats.register("avg", numpy.mean, axis=0) stats.register("std", numpy.std, axis=0) stats.register("min", numpy.min, axis=0) algorithms.eaMuPlusLambda(pop, toolbox, MU, LAMBDA, CXPB, MUTPB, NGEN, stats, halloffame=hof) return pop, stats, hof if __name__ == "__main__": _, _, hof = main() from matplotlib import pyplot as plt error_price = [i.fitness.values[0] for i in hof] time = [i.fitness.values[1] for i in hof] plt.plot(error_price, time, 'bo') plt.xlabel("Price difference") plt.ylabel("Total time") plt.show()

37.73913

107

0.700461

import random from operator import attrgetter from collections import Counter # attributes. Because we create a class that inherit from the Counter, the # fitness attribute was not copied by the deepcopy. del Counter.__reduce__ import numpy from deap import algorithms from deap import base from deap import creator from deap import tools IND_INIT_SIZE = 3 # Create the item dictionary: item id is an integer, and value is # a (name, weight, value) 3-uple. Since the comic didn't specified a time for ITEMS_NAME = "Mixed Fruit", "French Fries", "Side Salad", "Hot Wings", "Mozzarella Sticks", "Sampler Plate" ITEMS_PRICE = 2.15, 2.75, 3.35, 3.55, 4.2, 5.8 ITEMS = dict((name, (price, random.uniform(1, 5))) for name, price in zip(ITEMS_NAME, ITEMS_PRICE)) creator.create("Fitness", base.Fitness, weights=(-1.0, -1.0)) creator.create("Individual", Counter, fitness=creator.Fitness) toolbox = base.Toolbox() toolbox.register("attr_item", random.choice, ITEMS_NAME) toolbox.register("individual", tools.initRepeat, creator.Individual, toolbox.attr_item, IND_INIT_SIZE) toolbox.register("population", tools.initRepeat, list, toolbox.individual) def evalXKCD(individual, target_price): price = 0.0 times = list() for item, number in individual.items(): price += ITEMS[item][0] * number times.append(ITEMS[item][1]) return abs(price - target_price), max(times) def cxCounter(ind1, ind2, indpb): for key in ITEMS.keys(): if random.random() < indpb: ind1[key], ind2[key] = ind2[key], ind1[key] return ind1, ind2 def mutCounter(individual): if random.random() > 0.5: individual.update([random.choice(ITEMS_NAME)]) else: val = random.choice(ITEMS_NAME) individual.subtract([val]) if individual[val] < 0: del individual[val] return individual, toolbox.register("evaluate", evalXKCD, target_price=15.05) toolbox.register("mate", cxCounter, indpb=0.5) toolbox.register("mutate", mutCounter) toolbox.register("select", tools.selNSGA2) def main(): NGEN = 40 MU = 100 LAMBDA = 200 CXPB = 0.3 MUTPB = 0.6 pop = toolbox.population(n=MU) hof = tools.ParetoFront() price_stats = tools.Statistics(key=lambda ind: ind.fitness.values[0]) time_stats = tools.Statistics(key=lambda ind: ind.fitness.values[1]) stats = tools.MultiStatistics(price=price_stats, time=time_stats) stats.register("avg", numpy.mean, axis=0) stats.register("std", numpy.std, axis=0) stats.register("min", numpy.min, axis=0) algorithms.eaMuPlusLambda(pop, toolbox, MU, LAMBDA, CXPB, MUTPB, NGEN, stats, halloffame=hof) return pop, stats, hof if __name__ == "__main__": _, _, hof = main() from matplotlib import pyplot as plt error_price = [i.fitness.values[0] for i in hof] time = [i.fitness.values[1] for i in hof] plt.plot(error_price, time, 'bo') plt.xlabel("Price difference") plt.ylabel("Total time") plt.show()

true

f73d3af72113a5cab3585ebe6b786dc9ff9d06cd

818

py

Python

mher/common/tests/test_schedules.py

YangRui2015/Modular_HER

77acca83d6849d140ab893ec1b472b71e1da08d4

[ "MIT" ]

13

2020-10-31T15:01:44.000Z

2021-11-30T06:51:15.000Z

mher/common/tests/test_schedules.py

YangRui2015/Modular_HER

77acca83d6849d140ab893ec1b472b71e1da08d4

[ "MIT" ]

1

2021-06-22T14:25:07.000Z

2021-06-23T11:47:37.000Z

mher/common/tests/test_schedules.py

YangRui2015/Modular_HER

77acca83d6849d140ab893ec1b472b71e1da08d4

[ "MIT" ]

2

2020-11-24T03:26:32.000Z

2021-05-14T01:20:57.000Z

import numpy as np from mher.common.schedules import ConstantSchedule, PiecewiseSchedule def test_piecewise_schedule(): ps = PiecewiseSchedule([(-5, 100), (5, 200), (10, 50), (100, 50), (200, -50)], outside_value=500) assert np.isclose(ps.value(-10), 500) assert np.isclose(ps.value(0), 150) assert np.isclose(ps.value(5), 200) assert np.isclose(ps.value(9), 80) assert np.isclose(ps.value(50), 50) assert np.isclose(ps.value(80), 50) assert np.isclose(ps.value(150), 0) assert np.isclose(ps.value(175), -25) assert np.isclose(ps.value(201), 500) assert np.isclose(ps.value(500), 500) assert np.isclose(ps.value(200 - 1e-10), -50) def test_constant_schedule(): cs = ConstantSchedule(5) for i in range(-100, 100): assert np.isclose(cs.value(i), 5)

30.296296

101

0.661369

import numpy as np from mher.common.schedules import ConstantSchedule, PiecewiseSchedule def test_piecewise_schedule(): ps = PiecewiseSchedule([(-5, 100), (5, 200), (10, 50), (100, 50), (200, -50)], outside_value=500) assert np.isclose(ps.value(-10), 500) assert np.isclose(ps.value(0), 150) assert np.isclose(ps.value(5), 200) assert np.isclose(ps.value(9), 80) assert np.isclose(ps.value(50), 50) assert np.isclose(ps.value(80), 50) assert np.isclose(ps.value(150), 0) assert np.isclose(ps.value(175), -25) assert np.isclose(ps.value(201), 500) assert np.isclose(ps.value(500), 500) assert np.isclose(ps.value(200 - 1e-10), -50) def test_constant_schedule(): cs = ConstantSchedule(5) for i in range(-100, 100): assert np.isclose(cs.value(i), 5)

true

f73d3bccaa66ceecd5d19e2515f4373f729193e3

18,073

py

Python

homeassistant/components/here_travel_time/sensor.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

4

2020-07-29T17:47:10.000Z

2020-09-16T13:39:13.000Z

homeassistant/components/here_travel_time/sensor.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

6

2020-11-08T19:40:10.000Z

2022-03-01T11:11:07.000Z

homeassistant/components/here_travel_time/sensor.py

klauern/home-assistant-core

c18ba6aec0627e6afb6442c678edb5ff2bb17db6

[ "Apache-2.0" ]

5

2020-03-29T00:29:13.000Z

2021-09-06T20:58:40.000Z

"""Support for HERE travel time sensors.""" from datetime import datetime, timedelta import logging from typing import Callable, Dict, Optional, Union import herepy import voluptuous as vol from homeassistant.components.sensor import PLATFORM_SCHEMA from homeassistant.const import ( ATTR_ATTRIBUTION, ATTR_LATITUDE, ATTR_LONGITUDE, ATTR_MODE, CONF_MODE, CONF_NAME, CONF_UNIT_SYSTEM, CONF_UNIT_SYSTEM_IMPERIAL, CONF_UNIT_SYSTEM_METRIC, EVENT_HOMEASSISTANT_START, TIME_MINUTES, ) from homeassistant.core import HomeAssistant, State, callback from homeassistant.helpers import location import homeassistant.helpers.config_validation as cv from homeassistant.helpers.entity import Entity from homeassistant.helpers.typing import DiscoveryInfoType import homeassistant.util.dt as dt _LOGGER = logging.getLogger(__name__) CONF_DESTINATION_LATITUDE = "destination_latitude" CONF_DESTINATION_LONGITUDE = "destination_longitude" CONF_DESTINATION_ENTITY_ID = "destination_entity_id" CONF_ORIGIN_LATITUDE = "origin_latitude" CONF_ORIGIN_LONGITUDE = "origin_longitude" CONF_ORIGIN_ENTITY_ID = "origin_entity_id" CONF_API_KEY = "api_key" CONF_TRAFFIC_MODE = "traffic_mode" CONF_ROUTE_MODE = "route_mode" CONF_ARRIVAL = "arrival" CONF_DEPARTURE = "departure" DEFAULT_NAME = "HERE Travel Time" TRAVEL_MODE_BICYCLE = "bicycle" TRAVEL_MODE_CAR = "car" TRAVEL_MODE_PEDESTRIAN = "pedestrian" TRAVEL_MODE_PUBLIC = "publicTransport" TRAVEL_MODE_PUBLIC_TIME_TABLE = "publicTransportTimeTable" TRAVEL_MODE_TRUCK = "truck" TRAVEL_MODE = [ TRAVEL_MODE_BICYCLE, TRAVEL_MODE_CAR, TRAVEL_MODE_PEDESTRIAN, TRAVEL_MODE_PUBLIC, TRAVEL_MODE_PUBLIC_TIME_TABLE, TRAVEL_MODE_TRUCK, ] TRAVEL_MODES_PUBLIC = [TRAVEL_MODE_PUBLIC, TRAVEL_MODE_PUBLIC_TIME_TABLE] TRAVEL_MODES_VEHICLE = [TRAVEL_MODE_CAR, TRAVEL_MODE_TRUCK] TRAVEL_MODES_NON_VEHICLE = [TRAVEL_MODE_BICYCLE, TRAVEL_MODE_PEDESTRIAN] TRAFFIC_MODE_ENABLED = "traffic_enabled" TRAFFIC_MODE_DISABLED = "traffic_disabled" ROUTE_MODE_FASTEST = "fastest" ROUTE_MODE_SHORTEST = "shortest" ROUTE_MODE = [ROUTE_MODE_FASTEST, ROUTE_MODE_SHORTEST] ICON_BICYCLE = "mdi:bike" ICON_CAR = "mdi:car" ICON_PEDESTRIAN = "mdi:walk" ICON_PUBLIC = "mdi:bus" ICON_TRUCK = "mdi:truck" UNITS = [CONF_UNIT_SYSTEM_METRIC, CONF_UNIT_SYSTEM_IMPERIAL] ATTR_DURATION = "duration" ATTR_DISTANCE = "distance" ATTR_ROUTE = "route" ATTR_ORIGIN = "origin" ATTR_DESTINATION = "destination" ATTR_UNIT_SYSTEM = CONF_UNIT_SYSTEM ATTR_TRAFFIC_MODE = CONF_TRAFFIC_MODE ATTR_DURATION_IN_TRAFFIC = "duration_in_traffic" ATTR_ORIGIN_NAME = "origin_name" ATTR_DESTINATION_NAME = "destination_name" SCAN_INTERVAL = timedelta(minutes=5) NO_ROUTE_ERROR_MESSAGE = "HERE could not find a route based on the input" PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend( { vol.Required(CONF_API_KEY): cv.string, vol.Inclusive( CONF_DESTINATION_LATITUDE, "destination_coordinates" ): cv.latitude, vol.Inclusive( CONF_DESTINATION_LONGITUDE, "destination_coordinates" ): cv.longitude, vol.Exclusive(CONF_DESTINATION_LATITUDE, "destination"): cv.latitude, vol.Exclusive(CONF_DESTINATION_ENTITY_ID, "destination"): cv.entity_id, vol.Inclusive(CONF_ORIGIN_LATITUDE, "origin_coordinates"): cv.latitude, vol.Inclusive(CONF_ORIGIN_LONGITUDE, "origin_coordinates"): cv.longitude, vol.Exclusive(CONF_ORIGIN_LATITUDE, "origin"): cv.latitude, vol.Exclusive(CONF_ORIGIN_ENTITY_ID, "origin"): cv.entity_id, vol.Optional(CONF_DEPARTURE): cv.time, vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string, vol.Optional(CONF_MODE, default=TRAVEL_MODE_CAR): vol.In(TRAVEL_MODE), vol.Optional(CONF_ROUTE_MODE, default=ROUTE_MODE_FASTEST): vol.In(ROUTE_MODE), vol.Optional(CONF_TRAFFIC_MODE, default=False): cv.boolean, vol.Optional(CONF_UNIT_SYSTEM): vol.In(UNITS), } ) PLATFORM_SCHEMA = vol.All( cv.has_at_least_one_key(CONF_DESTINATION_LATITUDE, CONF_DESTINATION_ENTITY_ID), cv.has_at_least_one_key(CONF_ORIGIN_LATITUDE, CONF_ORIGIN_ENTITY_ID), cv.key_value_schemas( CONF_MODE, { None: PLATFORM_SCHEMA, TRAVEL_MODE_BICYCLE: PLATFORM_SCHEMA, TRAVEL_MODE_CAR: PLATFORM_SCHEMA, TRAVEL_MODE_PEDESTRIAN: PLATFORM_SCHEMA, TRAVEL_MODE_PUBLIC: PLATFORM_SCHEMA, TRAVEL_MODE_TRUCK: PLATFORM_SCHEMA, TRAVEL_MODE_PUBLIC_TIME_TABLE: PLATFORM_SCHEMA.extend( { vol.Exclusive(CONF_ARRIVAL, "arrival_departure"): cv.time, vol.Exclusive(CONF_DEPARTURE, "arrival_departure"): cv.time, } ), }, ), ) async def async_setup_platform( hass: HomeAssistant, config: Dict[str, Union[str, bool]], async_add_entities: Callable, discovery_info: Optional[DiscoveryInfoType] = None, ) -> None: """Set up the HERE travel time platform.""" api_key = config[CONF_API_KEY] here_client = herepy.RoutingApi(api_key) if not await hass.async_add_executor_job( _are_valid_client_credentials, here_client ): _LOGGER.error( "Invalid credentials. This error is returned if the specified token was invalid or no contract could be found for this token." ) return if config.get(CONF_ORIGIN_LATITUDE) is not None: origin = f"{config[CONF_ORIGIN_LATITUDE]},{config[CONF_ORIGIN_LONGITUDE]}" origin_entity_id = None else: origin = None origin_entity_id = config[CONF_ORIGIN_ENTITY_ID] if config.get(CONF_DESTINATION_LATITUDE) is not None: destination = ( f"{config[CONF_DESTINATION_LATITUDE]},{config[CONF_DESTINATION_LONGITUDE]}" ) destination_entity_id = None else: destination = None destination_entity_id = config[CONF_DESTINATION_ENTITY_ID] travel_mode = config[CONF_MODE] traffic_mode = config[CONF_TRAFFIC_MODE] route_mode = config[CONF_ROUTE_MODE] name = config[CONF_NAME] units = config.get(CONF_UNIT_SYSTEM, hass.config.units.name) arrival = config.get(CONF_ARRIVAL) departure = config.get(CONF_DEPARTURE) here_data = HERETravelTimeData( here_client, travel_mode, traffic_mode, route_mode, units, arrival, departure ) sensor = HERETravelTimeSensor( name, origin, destination, origin_entity_id, destination_entity_id, here_data ) async_add_entities([sensor]) def _are_valid_client_credentials(here_client: herepy.RoutingApi) -> bool: """Check if the provided credentials are correct using defaults.""" known_working_origin = [38.9, -77.04833] known_working_destination = [39.0, -77.1] try: here_client.car_route( known_working_origin, known_working_destination, [ herepy.RouteMode[ROUTE_MODE_FASTEST], herepy.RouteMode[TRAVEL_MODE_CAR], herepy.RouteMode[TRAFFIC_MODE_DISABLED], ], ) except herepy.InvalidCredentialsError: return False return True class HERETravelTimeSensor(Entity): """Representation of a HERE travel time sensor.""" def __init__( self, name: str, origin: str, destination: str, origin_entity_id: str, destination_entity_id: str, here_data: "HERETravelTimeData", ) -> None: """Initialize the sensor.""" self._name = name self._origin_entity_id = origin_entity_id self._destination_entity_id = destination_entity_id self._here_data = here_data self._unit_of_measurement = TIME_MINUTES self._attrs = { ATTR_UNIT_SYSTEM: self._here_data.units, ATTR_MODE: self._here_data.travel_mode, ATTR_TRAFFIC_MODE: self._here_data.traffic_mode, } if self._origin_entity_id is None: self._here_data.origin = origin if self._destination_entity_id is None: self._here_data.destination = destination async def async_added_to_hass(self) -> None: """Delay the sensor update to avoid entity not found warnings.""" @callback def delayed_sensor_update(event): """Update sensor after Home Assistant started.""" self.async_schedule_update_ha_state(True) self.hass.bus.async_listen_once( EVENT_HOMEASSISTANT_START, delayed_sensor_update ) @property def state(self) -> Optional[str]: """Return the state of the sensor.""" if self._here_data.traffic_mode: if self._here_data.traffic_time is not None: return str(round(self._here_data.traffic_time / 60)) if self._here_data.base_time is not None: return str(round(self._here_data.base_time / 60)) return None @property def name(self) -> str: """Get the name of the sensor.""" return self._name @property def device_state_attributes( self, ) -> Optional[Dict[str, Union[None, float, str, bool]]]: """Return the state attributes.""" if self._here_data.base_time is None: return None res = self._attrs if self._here_data.attribution is not None: res[ATTR_ATTRIBUTION] = self._here_data.attribution res[ATTR_DURATION] = self._here_data.base_time / 60 res[ATTR_DISTANCE] = self._here_data.distance res[ATTR_ROUTE] = self._here_data.route res[ATTR_DURATION_IN_TRAFFIC] = self._here_data.traffic_time / 60 res[ATTR_ORIGIN] = self._here_data.origin res[ATTR_DESTINATION] = self._here_data.destination res[ATTR_ORIGIN_NAME] = self._here_data.origin_name res[ATTR_DESTINATION_NAME] = self._here_data.destination_name return res @property def unit_of_measurement(self) -> str: """Return the unit this state is expressed in.""" return self._unit_of_measurement @property def icon(self) -> str: """Icon to use in the frontend depending on travel_mode.""" if self._here_data.travel_mode == TRAVEL_MODE_BICYCLE: return ICON_BICYCLE if self._here_data.travel_mode == TRAVEL_MODE_PEDESTRIAN: return ICON_PEDESTRIAN if self._here_data.travel_mode in TRAVEL_MODES_PUBLIC: return ICON_PUBLIC if self._here_data.travel_mode == TRAVEL_MODE_TRUCK: return ICON_TRUCK return ICON_CAR async def async_update(self) -> None: """Update Sensor Information.""" # Convert device_trackers to HERE friendly location if self._origin_entity_id is not None: self._here_data.origin = await self._get_location_from_entity( self._origin_entity_id ) if self._destination_entity_id is not None: self._here_data.destination = await self._get_location_from_entity( self._destination_entity_id ) await self.hass.async_add_executor_job(self._here_data.update) async def _get_location_from_entity(self, entity_id: str) -> Optional[str]: """Get the location from the entity state or attributes.""" entity = self.hass.states.get(entity_id) if entity is None: _LOGGER.error("Unable to find entity %s", entity_id) return None # Check if the entity has location attributes if location.has_location(entity): return self._get_location_from_attributes(entity) # Check if device is in a zone zone_entity = self.hass.states.get(f"zone.{entity.state}") if location.has_location(zone_entity): _LOGGER.debug( "%s is in %s, getting zone location", entity_id, zone_entity.entity_id ) return self._get_location_from_attributes(zone_entity) # Check if state is valid coordinate set if self._entity_state_is_valid_coordinate_set(entity.state): return entity.state _LOGGER.error( "The state of %s is not a valid set of coordinates: %s", entity_id, entity.state, ) return None @staticmethod def _entity_state_is_valid_coordinate_set(state: str) -> bool: """Check that the given string is a valid set of coordinates.""" schema = vol.Schema(cv.gps) try: coordinates = state.split(",") schema(coordinates) return True except (vol.MultipleInvalid): return False @staticmethod def _get_location_from_attributes(entity: State) -> str: """Get the lat/long string from an entities attributes.""" attr = entity.attributes return f"{attr.get(ATTR_LATITUDE)},{attr.get(ATTR_LONGITUDE)}" class HERETravelTimeData: """HERETravelTime data object.""" def __init__( self, here_client: herepy.RoutingApi, travel_mode: str, traffic_mode: bool, route_mode: str, units: str, arrival: datetime, departure: datetime, ) -> None: """Initialize herepy.""" self.origin = None self.destination = None self.travel_mode = travel_mode self.traffic_mode = traffic_mode self.route_mode = route_mode self.arrival = arrival self.departure = departure self.attribution = None self.traffic_time = None self.distance = None self.route = None self.base_time = None self.origin_name = None self.destination_name = None self.units = units self._client = here_client self.combine_change = True def update(self) -> None: """Get the latest data from HERE.""" if self.traffic_mode: traffic_mode = TRAFFIC_MODE_ENABLED else: traffic_mode = TRAFFIC_MODE_DISABLED if self.destination is not None and self.origin is not None: # Convert location to HERE friendly location destination = self.destination.split(",") origin = self.origin.split(",") arrival = self.arrival if arrival is not None: arrival = convert_time_to_isodate(arrival) departure = self.departure if departure is not None: departure = convert_time_to_isodate(departure) if departure is None and arrival is None: departure = "now" _LOGGER.debug( "Requesting route for origin: %s, destination: %s, route_mode: %s, mode: %s, traffic_mode: %s, arrival: %s, departure: %s", origin, destination, herepy.RouteMode[self.route_mode], herepy.RouteMode[self.travel_mode], herepy.RouteMode[traffic_mode], arrival, departure, ) try: response = self._client.public_transport_timetable( origin, destination, self.combine_change, [ herepy.RouteMode[self.route_mode], herepy.RouteMode[self.travel_mode], herepy.RouteMode[traffic_mode], ], arrival=arrival, departure=departure, ) except herepy.NoRouteFoundError: # Better error message for cryptic no route error codes _LOGGER.error(NO_ROUTE_ERROR_MESSAGE) return _LOGGER.debug("Raw response is: %s", response.response) # pylint: disable=no-member source_attribution = response.response.get("sourceAttribution") if source_attribution is not None: self.attribution = self._build_hass_attribution(source_attribution) # pylint: disable=no-member route = response.response["route"] summary = route[0]["summary"] waypoint = route[0]["waypoint"] self.base_time = summary["baseTime"] if self.travel_mode in TRAVEL_MODES_VEHICLE: self.traffic_time = summary["trafficTime"] else: self.traffic_time = self.base_time distance = summary["distance"] if self.units == CONF_UNIT_SYSTEM_IMPERIAL: # Convert to miles. self.distance = distance / 1609.344 else: # Convert to kilometers self.distance = distance / 1000 # pylint: disable=no-member self.route = response.route_short self.origin_name = waypoint[0]["mappedRoadName"] self.destination_name = waypoint[1]["mappedRoadName"] @staticmethod def _build_hass_attribution(source_attribution: Dict) -> Optional[str]: """Build a hass frontend ready string out of the sourceAttribution.""" suppliers = source_attribution.get("supplier") if suppliers is not None: supplier_titles = [] for supplier in suppliers: title = supplier.get("title") if title is not None: supplier_titles.append(title) joined_supplier_titles = ",".join(supplier_titles) attribution = f"With the support of {joined_supplier_titles}. All information is provided without warranty of any kind." return attribution def convert_time_to_isodate(timestr: str) -> str: """Take a string like 08:00:00 and combine it with the current date.""" combined = datetime.combine(dt.start_of_local_day(), dt.parse_time(timestr)) if combined < datetime.now(): combined = combined + timedelta(days=1) return combined.isoformat()

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from datetime import datetime, timedelta import logging from typing import Callable, Dict, Optional, Union import herepy import voluptuous as vol from homeassistant.components.sensor import PLATFORM_SCHEMA from homeassistant.const import ( ATTR_ATTRIBUTION, ATTR_LATITUDE, ATTR_LONGITUDE, ATTR_MODE, CONF_MODE, CONF_NAME, CONF_UNIT_SYSTEM, CONF_UNIT_SYSTEM_IMPERIAL, CONF_UNIT_SYSTEM_METRIC, EVENT_HOMEASSISTANT_START, TIME_MINUTES, ) from homeassistant.core import HomeAssistant, State, callback from homeassistant.helpers import location import homeassistant.helpers.config_validation as cv from homeassistant.helpers.entity import Entity from homeassistant.helpers.typing import DiscoveryInfoType import homeassistant.util.dt as dt _LOGGER = logging.getLogger(__name__) CONF_DESTINATION_LATITUDE = "destination_latitude" CONF_DESTINATION_LONGITUDE = "destination_longitude" CONF_DESTINATION_ENTITY_ID = "destination_entity_id" CONF_ORIGIN_LATITUDE = "origin_latitude" CONF_ORIGIN_LONGITUDE = "origin_longitude" CONF_ORIGIN_ENTITY_ID = "origin_entity_id" CONF_API_KEY = "api_key" CONF_TRAFFIC_MODE = "traffic_mode" CONF_ROUTE_MODE = "route_mode" CONF_ARRIVAL = "arrival" CONF_DEPARTURE = "departure" DEFAULT_NAME = "HERE Travel Time" TRAVEL_MODE_BICYCLE = "bicycle" TRAVEL_MODE_CAR = "car" TRAVEL_MODE_PEDESTRIAN = "pedestrian" TRAVEL_MODE_PUBLIC = "publicTransport" TRAVEL_MODE_PUBLIC_TIME_TABLE = "publicTransportTimeTable" TRAVEL_MODE_TRUCK = "truck" TRAVEL_MODE = [ TRAVEL_MODE_BICYCLE, TRAVEL_MODE_CAR, TRAVEL_MODE_PEDESTRIAN, TRAVEL_MODE_PUBLIC, TRAVEL_MODE_PUBLIC_TIME_TABLE, TRAVEL_MODE_TRUCK, ] TRAVEL_MODES_PUBLIC = [TRAVEL_MODE_PUBLIC, TRAVEL_MODE_PUBLIC_TIME_TABLE] TRAVEL_MODES_VEHICLE = [TRAVEL_MODE_CAR, TRAVEL_MODE_TRUCK] TRAVEL_MODES_NON_VEHICLE = [TRAVEL_MODE_BICYCLE, TRAVEL_MODE_PEDESTRIAN] TRAFFIC_MODE_ENABLED = "traffic_enabled" TRAFFIC_MODE_DISABLED = "traffic_disabled" ROUTE_MODE_FASTEST = "fastest" ROUTE_MODE_SHORTEST = "shortest" ROUTE_MODE = [ROUTE_MODE_FASTEST, ROUTE_MODE_SHORTEST] ICON_BICYCLE = "mdi:bike" ICON_CAR = "mdi:car" ICON_PEDESTRIAN = "mdi:walk" ICON_PUBLIC = "mdi:bus" ICON_TRUCK = "mdi:truck" UNITS = [CONF_UNIT_SYSTEM_METRIC, CONF_UNIT_SYSTEM_IMPERIAL] ATTR_DURATION = "duration" ATTR_DISTANCE = "distance" ATTR_ROUTE = "route" ATTR_ORIGIN = "origin" ATTR_DESTINATION = "destination" ATTR_UNIT_SYSTEM = CONF_UNIT_SYSTEM ATTR_TRAFFIC_MODE = CONF_TRAFFIC_MODE ATTR_DURATION_IN_TRAFFIC = "duration_in_traffic" ATTR_ORIGIN_NAME = "origin_name" ATTR_DESTINATION_NAME = "destination_name" SCAN_INTERVAL = timedelta(minutes=5) NO_ROUTE_ERROR_MESSAGE = "HERE could not find a route based on the input" PLATFORM_SCHEMA = PLATFORM_SCHEMA.extend( { vol.Required(CONF_API_KEY): cv.string, vol.Inclusive( CONF_DESTINATION_LATITUDE, "destination_coordinates" ): cv.latitude, vol.Inclusive( CONF_DESTINATION_LONGITUDE, "destination_coordinates" ): cv.longitude, vol.Exclusive(CONF_DESTINATION_LATITUDE, "destination"): cv.latitude, vol.Exclusive(CONF_DESTINATION_ENTITY_ID, "destination"): cv.entity_id, vol.Inclusive(CONF_ORIGIN_LATITUDE, "origin_coordinates"): cv.latitude, vol.Inclusive(CONF_ORIGIN_LONGITUDE, "origin_coordinates"): cv.longitude, vol.Exclusive(CONF_ORIGIN_LATITUDE, "origin"): cv.latitude, vol.Exclusive(CONF_ORIGIN_ENTITY_ID, "origin"): cv.entity_id, vol.Optional(CONF_DEPARTURE): cv.time, vol.Optional(CONF_NAME, default=DEFAULT_NAME): cv.string, vol.Optional(CONF_MODE, default=TRAVEL_MODE_CAR): vol.In(TRAVEL_MODE), vol.Optional(CONF_ROUTE_MODE, default=ROUTE_MODE_FASTEST): vol.In(ROUTE_MODE), vol.Optional(CONF_TRAFFIC_MODE, default=False): cv.boolean, vol.Optional(CONF_UNIT_SYSTEM): vol.In(UNITS), } ) PLATFORM_SCHEMA = vol.All( cv.has_at_least_one_key(CONF_DESTINATION_LATITUDE, CONF_DESTINATION_ENTITY_ID), cv.has_at_least_one_key(CONF_ORIGIN_LATITUDE, CONF_ORIGIN_ENTITY_ID), cv.key_value_schemas( CONF_MODE, { None: PLATFORM_SCHEMA, TRAVEL_MODE_BICYCLE: PLATFORM_SCHEMA, TRAVEL_MODE_CAR: PLATFORM_SCHEMA, TRAVEL_MODE_PEDESTRIAN: PLATFORM_SCHEMA, TRAVEL_MODE_PUBLIC: PLATFORM_SCHEMA, TRAVEL_MODE_TRUCK: PLATFORM_SCHEMA, TRAVEL_MODE_PUBLIC_TIME_TABLE: PLATFORM_SCHEMA.extend( { vol.Exclusive(CONF_ARRIVAL, "arrival_departure"): cv.time, vol.Exclusive(CONF_DEPARTURE, "arrival_departure"): cv.time, } ), }, ), ) async def async_setup_platform( hass: HomeAssistant, config: Dict[str, Union[str, bool]], async_add_entities: Callable, discovery_info: Optional[DiscoveryInfoType] = None, ) -> None: api_key = config[CONF_API_KEY] here_client = herepy.RoutingApi(api_key) if not await hass.async_add_executor_job( _are_valid_client_credentials, here_client ): _LOGGER.error( "Invalid credentials. This error is returned if the specified token was invalid or no contract could be found for this token." ) return if config.get(CONF_ORIGIN_LATITUDE) is not None: origin = f"{config[CONF_ORIGIN_LATITUDE]},{config[CONF_ORIGIN_LONGITUDE]}" origin_entity_id = None else: origin = None origin_entity_id = config[CONF_ORIGIN_ENTITY_ID] if config.get(CONF_DESTINATION_LATITUDE) is not None: destination = ( f"{config[CONF_DESTINATION_LATITUDE]},{config[CONF_DESTINATION_LONGITUDE]}" ) destination_entity_id = None else: destination = None destination_entity_id = config[CONF_DESTINATION_ENTITY_ID] travel_mode = config[CONF_MODE] traffic_mode = config[CONF_TRAFFIC_MODE] route_mode = config[CONF_ROUTE_MODE] name = config[CONF_NAME] units = config.get(CONF_UNIT_SYSTEM, hass.config.units.name) arrival = config.get(CONF_ARRIVAL) departure = config.get(CONF_DEPARTURE) here_data = HERETravelTimeData( here_client, travel_mode, traffic_mode, route_mode, units, arrival, departure ) sensor = HERETravelTimeSensor( name, origin, destination, origin_entity_id, destination_entity_id, here_data ) async_add_entities([sensor]) def _are_valid_client_credentials(here_client: herepy.RoutingApi) -> bool: known_working_origin = [38.9, -77.04833] known_working_destination = [39.0, -77.1] try: here_client.car_route( known_working_origin, known_working_destination, [ herepy.RouteMode[ROUTE_MODE_FASTEST], herepy.RouteMode[TRAVEL_MODE_CAR], herepy.RouteMode[TRAFFIC_MODE_DISABLED], ], ) except herepy.InvalidCredentialsError: return False return True class HERETravelTimeSensor(Entity): def __init__( self, name: str, origin: str, destination: str, origin_entity_id: str, destination_entity_id: str, here_data: "HERETravelTimeData", ) -> None: self._name = name self._origin_entity_id = origin_entity_id self._destination_entity_id = destination_entity_id self._here_data = here_data self._unit_of_measurement = TIME_MINUTES self._attrs = { ATTR_UNIT_SYSTEM: self._here_data.units, ATTR_MODE: self._here_data.travel_mode, ATTR_TRAFFIC_MODE: self._here_data.traffic_mode, } if self._origin_entity_id is None: self._here_data.origin = origin if self._destination_entity_id is None: self._here_data.destination = destination async def async_added_to_hass(self) -> None: @callback def delayed_sensor_update(event): self.async_schedule_update_ha_state(True) self.hass.bus.async_listen_once( EVENT_HOMEASSISTANT_START, delayed_sensor_update ) @property def state(self) -> Optional[str]: if self._here_data.traffic_mode: if self._here_data.traffic_time is not None: return str(round(self._here_data.traffic_time / 60)) if self._here_data.base_time is not None: return str(round(self._here_data.base_time / 60)) return None @property def name(self) -> str: return self._name @property def device_state_attributes( self, ) -> Optional[Dict[str, Union[None, float, str, bool]]]: if self._here_data.base_time is None: return None res = self._attrs if self._here_data.attribution is not None: res[ATTR_ATTRIBUTION] = self._here_data.attribution res[ATTR_DURATION] = self._here_data.base_time / 60 res[ATTR_DISTANCE] = self._here_data.distance res[ATTR_ROUTE] = self._here_data.route res[ATTR_DURATION_IN_TRAFFIC] = self._here_data.traffic_time / 60 res[ATTR_ORIGIN] = self._here_data.origin res[ATTR_DESTINATION] = self._here_data.destination res[ATTR_ORIGIN_NAME] = self._here_data.origin_name res[ATTR_DESTINATION_NAME] = self._here_data.destination_name return res @property def unit_of_measurement(self) -> str: return self._unit_of_measurement @property def icon(self) -> str: if self._here_data.travel_mode == TRAVEL_MODE_BICYCLE: return ICON_BICYCLE if self._here_data.travel_mode == TRAVEL_MODE_PEDESTRIAN: return ICON_PEDESTRIAN if self._here_data.travel_mode in TRAVEL_MODES_PUBLIC: return ICON_PUBLIC if self._here_data.travel_mode == TRAVEL_MODE_TRUCK: return ICON_TRUCK return ICON_CAR async def async_update(self) -> None: if self._origin_entity_id is not None: self._here_data.origin = await self._get_location_from_entity( self._origin_entity_id ) if self._destination_entity_id is not None: self._here_data.destination = await self._get_location_from_entity( self._destination_entity_id ) await self.hass.async_add_executor_job(self._here_data.update) async def _get_location_from_entity(self, entity_id: str) -> Optional[str]: entity = self.hass.states.get(entity_id) if entity is None: _LOGGER.error("Unable to find entity %s", entity_id) return None if location.has_location(entity): return self._get_location_from_attributes(entity) zone_entity = self.hass.states.get(f"zone.{entity.state}") if location.has_location(zone_entity): _LOGGER.debug( "%s is in %s, getting zone location", entity_id, zone_entity.entity_id ) return self._get_location_from_attributes(zone_entity) if self._entity_state_is_valid_coordinate_set(entity.state): return entity.state _LOGGER.error( "The state of %s is not a valid set of coordinates: %s", entity_id, entity.state, ) return None @staticmethod def _entity_state_is_valid_coordinate_set(state: str) -> bool: schema = vol.Schema(cv.gps) try: coordinates = state.split(",") schema(coordinates) return True except (vol.MultipleInvalid): return False @staticmethod def _get_location_from_attributes(entity: State) -> str: attr = entity.attributes return f"{attr.get(ATTR_LATITUDE)},{attr.get(ATTR_LONGITUDE)}" class HERETravelTimeData: def __init__( self, here_client: herepy.RoutingApi, travel_mode: str, traffic_mode: bool, route_mode: str, units: str, arrival: datetime, departure: datetime, ) -> None: self.origin = None self.destination = None self.travel_mode = travel_mode self.traffic_mode = traffic_mode self.route_mode = route_mode self.arrival = arrival self.departure = departure self.attribution = None self.traffic_time = None self.distance = None self.route = None self.base_time = None self.origin_name = None self.destination_name = None self.units = units self._client = here_client self.combine_change = True def update(self) -> None: if self.traffic_mode: traffic_mode = TRAFFIC_MODE_ENABLED else: traffic_mode = TRAFFIC_MODE_DISABLED if self.destination is not None and self.origin is not None: destination = self.destination.split(",") origin = self.origin.split(",") arrival = self.arrival if arrival is not None: arrival = convert_time_to_isodate(arrival) departure = self.departure if departure is not None: departure = convert_time_to_isodate(departure) if departure is None and arrival is None: departure = "now" _LOGGER.debug( "Requesting route for origin: %s, destination: %s, route_mode: %s, mode: %s, traffic_mode: %s, arrival: %s, departure: %s", origin, destination, herepy.RouteMode[self.route_mode], herepy.RouteMode[self.travel_mode], herepy.RouteMode[traffic_mode], arrival, departure, ) try: response = self._client.public_transport_timetable( origin, destination, self.combine_change, [ herepy.RouteMode[self.route_mode], herepy.RouteMode[self.travel_mode], herepy.RouteMode[traffic_mode], ], arrival=arrival, departure=departure, ) except herepy.NoRouteFoundError: _LOGGER.error(NO_ROUTE_ERROR_MESSAGE) return _LOGGER.debug("Raw response is: %s", response.response) source_attribution = response.response.get("sourceAttribution") if source_attribution is not None: self.attribution = self._build_hass_attribution(source_attribution) route = response.response["route"] summary = route[0]["summary"] waypoint = route[0]["waypoint"] self.base_time = summary["baseTime"] if self.travel_mode in TRAVEL_MODES_VEHICLE: self.traffic_time = summary["trafficTime"] else: self.traffic_time = self.base_time distance = summary["distance"] if self.units == CONF_UNIT_SYSTEM_IMPERIAL: self.distance = distance / 1609.344 else: self.distance = distance / 1000 self.route = response.route_short self.origin_name = waypoint[0]["mappedRoadName"] self.destination_name = waypoint[1]["mappedRoadName"] @staticmethod def _build_hass_attribution(source_attribution: Dict) -> Optional[str]: suppliers = source_attribution.get("supplier") if suppliers is not None: supplier_titles = [] for supplier in suppliers: title = supplier.get("title") if title is not None: supplier_titles.append(title) joined_supplier_titles = ",".join(supplier_titles) attribution = f"With the support of {joined_supplier_titles}. All information is provided without warranty of any kind." return attribution def convert_time_to_isodate(timestr: str) -> str: combined = datetime.combine(dt.start_of_local_day(), dt.parse_time(timestr)) if combined < datetime.now(): combined = combined + timedelta(days=1) return combined.isoformat()

true

f73d3dd584cecf1cb71ceacab21635e3578dcecf

14,681

py

Python

tensorflow_model_analysis/evaluators/aggregate.py

BioGeek/model-analysis

03db02c21e21b092bc409c8bf263174b90c4e2ae

[ "Apache-2.0" ]

null

tensorflow_model_analysis/evaluators/aggregate.py

BioGeek/model-analysis

03db02c21e21b092bc409c8bf263174b90c4e2ae

[ "Apache-2.0" ]

null

tensorflow_model_analysis/evaluators/aggregate.py

BioGeek/model-analysis

03db02c21e21b092bc409c8bf263174b90c4e2ae

[ "Apache-2.0" ]

null

# Lint as: python3 # Copyright 2018 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Public API for performing evaluations using the EvalMetricsGraph.""" from __future__ import absolute_import from __future__ import division # Standard __future__ imports from __future__ import print_function from typing import Any, Dict, Generator, Iterable, List, Optional, Text, Tuple, Union import apache_beam as beam import numpy as np from tensorflow_model_analysis import constants from tensorflow_model_analysis import model_util from tensorflow_model_analysis import types from tensorflow_model_analysis.eval_metrics_graph import eval_metrics_graph from tensorflow_model_analysis.slicer import slicer_lib as slicer @beam.ptransform_fn @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, types.Extracts]) @beam.typehints.with_output_types(Tuple[slicer.SliceKeyType, Dict[Text, Any]]) def ComputePerSliceMetrics( # pylint: disable=invalid-name slice_result: beam.pvalue.PCollection, eval_shared_model: types.EvalSharedModel, desired_batch_size: Optional[int] = None, compute_with_sampling: Optional[bool] = False, random_seed_for_testing: Optional[int] = None) -> beam.pvalue.PCollection: """PTransform for computing, aggregating and combining metrics. Args: slice_result: Incoming PCollection consisting of slice key and extracts. eval_shared_model: Shared model parameters for EvalSavedModel. desired_batch_size: Optional batch size for batching in Aggregate. compute_with_sampling: True to compute with sampling. random_seed_for_testing: Seed to use for unit testing. Returns: PCollection of (slice key, dict of metrics). """ # TODO(b/123516222): Remove this workaround per discussions in CL/227944001 slice_result.element_type = beam.typehints.Any return ( slice_result # _ModelLoadingIdentityFn loads the EvalSavedModel into memory # under a shared handle that can be used by subsequent steps. # Combiner lifting and producer-consumer fusion should ensure # that these steps run in the same process and memory space. # TODO(b/69566045): Remove _ModelLoadingIdentityFn and move model # loading to CombineFn.setup after it is available in Beam. | 'LoadModel' >> beam.ParDo( _ModelLoadingIdentityFn(eval_shared_model=eval_shared_model)) | 'CombinePerSlice' >> beam.CombinePerKey( _AggregateCombineFn( eval_shared_model=eval_shared_model, desired_batch_size=desired_batch_size, compute_with_sampling=compute_with_sampling, seed_for_testing=random_seed_for_testing)) | 'InterpretOutput' >> beam.ParDo( _ExtractOutputDoFn(eval_shared_model=eval_shared_model))) def _add_metric_variables( # pylint: disable=invalid-name left: types.MetricVariablesType, right: types.MetricVariablesType) -> types.MetricVariablesType: """Returns left and right metric variables combined.""" if left is not None and right is not None: if len(left) != len(right): raise ValueError('metric variables lengths should match, but got ' '%d and %d' % (len(left), len(right))) return [x + y for x, y in zip(left, right)] elif left is not None: return left else: return right class _AggState(object): """Combine state for AggregateCombineFn. There are two parts to the state: the metric variables (the actual state), and a list of FeaturesPredictionsLabels or other inputs. See _AggregateCombineFn for why we need this. """ __slots__ = ['metric_variables', 'inputs'] def __init__(self): self.metric_variables = None # type: Optional[types.MetricVariablesType] self.inputs = [ ] # type: List[Union[bytes, types.FeaturesPredictionsLabels]] def copy_from( # pylint: disable=invalid-name self, other: '_AggState') -> None: if other.metric_variables: self.metric_variables = other.metric_variables self.inputs = other.inputs def __iadd__(self, other: '_AggState') -> '_AggState': self.metric_variables = _add_metric_variables(self.metric_variables, other.metric_variables) self.inputs.extend(other.inputs) return self def add_input(self, new_input) -> None: self.inputs.append(new_input) def add_metrics_variables( # pylint: disable=invalid-name self, metric_variables: types.MetricVariablesType) -> None: self.metric_variables = _add_metric_variables(self.metric_variables, metric_variables) @beam.typehints.with_input_types(types.Extracts) @beam.typehints.with_output_types(Optional[List[Any]]) class _AggregateCombineFn(model_util.CombineFnWithModels): """Aggregate combine function. This function really does three things: 1. Batching of FeaturesPredictionsLabels. 3. "Partial reduction" of these batches by sending this through the "intro metrics" step. 3. The "normal" combining of MetricVariables. What we really want to do is conceptually the following: Predictions | GroupByKey() | KeyAwareBatchElements() | ParDo(IntroMetrics()) | CombineValues(CombineMetricVariables()). but there's no way to KeyAwareBatchElements in Beam, and no way to do partial reductions either. Hence, this CombineFn has to do the work of batching, partial reduction (intro metrics), and actual combining, all in one. We do this by accumulating FeaturesPredictionsLabels in the combine state until we accumulate a large enough batch, at which point we send them through the "intro metrics" step. When merging, we merge the metric variables and accumulate FeaturesPredictionsLabels accordingly. We do one final "intro metrics" and merge step before producing the final output value. See also: BEAM-3737: Key-aware batching function (https://issues.apache.org/jira/browse/BEAM-3737). """ # This needs to be large enough to allow for efficient TF invocations during # batch flushing, but shouldn't be too large as it also acts as cap on the # maximum memory usage of the computation. _DEFAULT_DESIRED_BATCH_SIZE = 1000 def __init__(self, eval_shared_model: types.EvalSharedModel, desired_batch_size: Optional[int] = None, compute_with_sampling: Optional[bool] = False, seed_for_testing: Optional[int] = None) -> None: super(_AggregateCombineFn, self).__init__({'': eval_shared_model.model_loader}) self._seed_for_testing = seed_for_testing self._eval_metrics_graph = None # type: eval_metrics_graph.EvalMetricsGraph # We really want the batch size to be adaptive like it is in # beam.BatchElements(), but there isn't an easy way to make it so. # TODO(b/73789023): Figure out how to make this batch size dynamic. if desired_batch_size and desired_batch_size > 0: self._desired_batch_size = desired_batch_size else: self._desired_batch_size = self._DEFAULT_DESIRED_BATCH_SIZE self._compute_with_sampling = compute_with_sampling self._random_state = np.random.RandomState(seed_for_testing) # Metrics. self._combine_batch_size = beam.metrics.Metrics.distribution( constants.METRICS_NAMESPACE, 'combine_batch_size') self._num_compacts = beam.metrics.Metrics.counter( constants.METRICS_NAMESPACE, 'num_compacts') def _poissonify(self, accumulator: _AggState) -> List[bytes]: # pylint: disable=line-too-long """Creates a bootstrap resample of the data in an accumulator. Given a set of data, it will be represented in the resample set a number of times, that number of times is drawn from Poisson(1). See http://www.unofficialgoogledatascience.com/2015/08/an-introduction-to-poisson-bootstrap26.html for a detailed explanation of the technique. This will work technically with small or empty batches but as the technique is an approximation, the approximation gets better as the number of examples gets larger. If the results themselves are empty TFMA will reject the sample. For any samples of a reasonable size, the chances of this are exponentially tiny. See "The mathematical fine print" section of the blog post linked above. Args: accumulator: Accumulator containing FPLs from a sample Returns: A list of FPLs representing a bootstrap resample of the accumulator items. """ result = [] if accumulator.inputs: poisson_counts = self._random_state.poisson(1, len(accumulator.inputs)) for i, input_item in enumerate(accumulator.inputs): result.extend([input_item] * poisson_counts[i]) return result def _maybe_do_batch(self, accumulator: _AggState, force: bool = False) -> None: """Maybe intro metrics and update accumulator in place. Checks if accumulator has enough FPLs for a batch, and if so, does the intro metrics for the batch and updates accumulator in place. Args: accumulator: Accumulator. Will be updated in place. force: Force intro metrics even if accumulator has less FPLs than the batch size. """ if self._eval_metrics_graph is None: self._setup_if_needed() self._eval_metrics_graph = self._loaded_models[''] batch_size = len(accumulator.inputs) if force or batch_size >= self._desired_batch_size: if accumulator.inputs: self._combine_batch_size.update(batch_size) inputs_for_metrics = accumulator.inputs if self._compute_with_sampling: # If we are computing with multiple bootstrap replicates, use fpls # generated by the Poisson bootstrapping technique. inputs_for_metrics = self._poissonify(accumulator) if inputs_for_metrics: accumulator.add_metrics_variables( self._eval_metrics_graph.metrics_reset_update_get_list( inputs_for_metrics)) else: # Call to metrics_reset_update_get_list does a reset prior to the # metrics update, but does not handle empty updates. Explicitly # calling just reset here, to make the flow clear. self._eval_metrics_graph.reset_metric_variables() del accumulator.inputs[:] def create_accumulator(self) -> _AggState: return _AggState() def add_input(self, accumulator: _AggState, elem: types.Extracts) -> _AggState: accumulator.add_input(elem[constants.INPUT_KEY]) self._maybe_do_batch(accumulator) return accumulator def merge_accumulators(self, accumulators: Iterable[_AggState]) -> _AggState: result = self.create_accumulator() for acc in accumulators: result += acc # Compact within the loop to avoid accumulating too much data. # # During the "map" side of combining merging happens with memory limits # but on the "reduce" side it's across all bundles (for a given key). # # So we could potentially accumulate get num_bundles * batch_size # elements if we don't process the batches within the loop, which # could cause OOM errors (b/77293756). self._maybe_do_batch(result) return result def compact(self, accumulator: _AggState) -> _AggState: self._maybe_do_batch(accumulator, force=True) # Guaranteed compaction. self._num_compacts.inc(1) return accumulator def extract_output( self, accumulator: _AggState) -> Optional[types.MetricVariablesType]: # It's possible that the accumulator has not been fully flushed, if it was # not produced by a call to compact (which is not guaranteed across all Beam # Runners), so we defensively flush it here again, before we extract data # from it, to ensure correctness. self._maybe_do_batch(accumulator, force=True) return accumulator.metric_variables @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, Optional[List[Any]]]) # TODO(b/123516222): Add output typehints. Similarly elsewhere that it applies. class _ExtractOutputDoFn(model_util.DoFnWithModels): """A DoFn that extracts the metrics output.""" def __init__(self, eval_shared_model: types.EvalSharedModel) -> None: super(_ExtractOutputDoFn, self).__init__({'': eval_shared_model.model_loader}) # This keeps track of the number of times the poisson bootstrap encounters # an empty set of elements for a slice sample. Should be extremely rare in # practice, keeping this counter will help us understand if something is # misbehaving. self._num_bootstrap_empties = beam.metrics.Metrics.counter( constants.METRICS_NAMESPACE, 'num_bootstrap_empties') def process( self, element: Tuple[slicer.SliceKeyType, types.MetricVariablesType] ) -> Generator[Tuple[slicer.SliceKeyType, Dict[Text, Any]], None, None]: (slice_key, metric_variables) = element if metric_variables: eval_saved_model = self._loaded_models[''] result = eval_saved_model.metrics_set_variables_and_get_values( metric_variables) yield (slice_key, result) else: # Increase a counter for empty bootstrap samples. When sampling is not # enabled, this should never be exected. This should only occur when the # slice sizes are incredibly small, and seeing large values of this # counter is a sign that something has gone wrong. self._num_bootstrap_empties.inc(1) @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, types.Extracts]) @beam.typehints.with_output_types(Tuple[slicer.SliceKeyType, types.Extracts]) class _ModelLoadingIdentityFn(model_util.DoFnWithModels): """A DoFn that loads the EvalSavedModel and returns the input unchanged.""" def __init__(self, eval_shared_model: types.EvalSharedModel) -> None: super(_ModelLoadingIdentityFn, self).__init__({'': eval_shared_model.model_loader}) def process( self, element: Tuple[slicer.SliceKeyType, types.Extracts] ) -> List[Tuple[slicer.SliceKeyType, types.Extracts]]: return [element]

43.052786

98

0.727539

from __future__ import absolute_import from __future__ import division from __future__ import print_function from typing import Any, Dict, Generator, Iterable, List, Optional, Text, Tuple, Union import apache_beam as beam import numpy as np from tensorflow_model_analysis import constants from tensorflow_model_analysis import model_util from tensorflow_model_analysis import types from tensorflow_model_analysis.eval_metrics_graph import eval_metrics_graph from tensorflow_model_analysis.slicer import slicer_lib as slicer @beam.ptransform_fn @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, types.Extracts]) @beam.typehints.with_output_types(Tuple[slicer.SliceKeyType, Dict[Text, Any]]) def ComputePerSliceMetrics( slice_result: beam.pvalue.PCollection, eval_shared_model: types.EvalSharedModel, desired_batch_size: Optional[int] = None, compute_with_sampling: Optional[bool] = False, random_seed_for_testing: Optional[int] = None) -> beam.pvalue.PCollection: slice_result.element_type = beam.typehints.Any return ( slice_result | 'LoadModel' >> beam.ParDo( _ModelLoadingIdentityFn(eval_shared_model=eval_shared_model)) | 'CombinePerSlice' >> beam.CombinePerKey( _AggregateCombineFn( eval_shared_model=eval_shared_model, desired_batch_size=desired_batch_size, compute_with_sampling=compute_with_sampling, seed_for_testing=random_seed_for_testing)) | 'InterpretOutput' >> beam.ParDo( _ExtractOutputDoFn(eval_shared_model=eval_shared_model))) def _add_metric_variables( left: types.MetricVariablesType, right: types.MetricVariablesType) -> types.MetricVariablesType: if left is not None and right is not None: if len(left) != len(right): raise ValueError('metric variables lengths should match, but got ' '%d and %d' % (len(left), len(right))) return [x + y for x, y in zip(left, right)] elif left is not None: return left else: return right class _AggState(object): __slots__ = ['metric_variables', 'inputs'] def __init__(self): self.metric_variables = None self.inputs = [ ] def copy_from( self, other: '_AggState') -> None: if other.metric_variables: self.metric_variables = other.metric_variables self.inputs = other.inputs def __iadd__(self, other: '_AggState') -> '_AggState': self.metric_variables = _add_metric_variables(self.metric_variables, other.metric_variables) self.inputs.extend(other.inputs) return self def add_input(self, new_input) -> None: self.inputs.append(new_input) def add_metrics_variables( self, metric_variables: types.MetricVariablesType) -> None: self.metric_variables = _add_metric_variables(self.metric_variables, metric_variables) @beam.typehints.with_input_types(types.Extracts) @beam.typehints.with_output_types(Optional[List[Any]]) class _AggregateCombineFn(model_util.CombineFnWithModels): # maximum memory usage of the computation. _DEFAULT_DESIRED_BATCH_SIZE = 1000 def __init__(self, eval_shared_model: types.EvalSharedModel, desired_batch_size: Optional[int] = None, compute_with_sampling: Optional[bool] = False, seed_for_testing: Optional[int] = None) -> None: super(_AggregateCombineFn, self).__init__({'': eval_shared_model.model_loader}) self._seed_for_testing = seed_for_testing self._eval_metrics_graph = None # type: eval_metrics_graph.EvalMetricsGraph # We really want the batch size to be adaptive like it is in # beam.BatchElements(), but there isn't an easy way to make it so. if desired_batch_size and desired_batch_size > 0: self._desired_batch_size = desired_batch_size else: self._desired_batch_size = self._DEFAULT_DESIRED_BATCH_SIZE self._compute_with_sampling = compute_with_sampling self._random_state = np.random.RandomState(seed_for_testing) self._combine_batch_size = beam.metrics.Metrics.distribution( constants.METRICS_NAMESPACE, 'combine_batch_size') self._num_compacts = beam.metrics.Metrics.counter( constants.METRICS_NAMESPACE, 'num_compacts') def _poissonify(self, accumulator: _AggState) -> List[bytes]: result = [] if accumulator.inputs: poisson_counts = self._random_state.poisson(1, len(accumulator.inputs)) for i, input_item in enumerate(accumulator.inputs): result.extend([input_item] * poisson_counts[i]) return result def _maybe_do_batch(self, accumulator: _AggState, force: bool = False) -> None: if self._eval_metrics_graph is None: self._setup_if_needed() self._eval_metrics_graph = self._loaded_models[''] batch_size = len(accumulator.inputs) if force or batch_size >= self._desired_batch_size: if accumulator.inputs: self._combine_batch_size.update(batch_size) inputs_for_metrics = accumulator.inputs if self._compute_with_sampling: inputs_for_metrics = self._poissonify(accumulator) if inputs_for_metrics: accumulator.add_metrics_variables( self._eval_metrics_graph.metrics_reset_update_get_list( inputs_for_metrics)) else: self._eval_metrics_graph.reset_metric_variables() del accumulator.inputs[:] def create_accumulator(self) -> _AggState: return _AggState() def add_input(self, accumulator: _AggState, elem: types.Extracts) -> _AggState: accumulator.add_input(elem[constants.INPUT_KEY]) self._maybe_do_batch(accumulator) return accumulator def merge_accumulators(self, accumulators: Iterable[_AggState]) -> _AggState: result = self.create_accumulator() for acc in accumulators: result += acc # # So we could potentially accumulate get num_bundles * batch_size # elements if we don't process the batches within the loop, which self._maybe_do_batch(result) return result def compact(self, accumulator: _AggState) -> _AggState: self._maybe_do_batch(accumulator, force=True) self._num_compacts.inc(1) return accumulator def extract_output( self, accumulator: _AggState) -> Optional[types.MetricVariablesType]: # not produced by a call to compact (which is not guaranteed across all Beam # Runners), so we defensively flush it here again, before we extract data # from it, to ensure correctness. self._maybe_do_batch(accumulator, force=True) return accumulator.metric_variables @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, Optional[List[Any]]]) # TODO(b/123516222): Add output typehints. Similarly elsewhere that it applies. class _ExtractOutputDoFn(model_util.DoFnWithModels): def __init__(self, eval_shared_model: types.EvalSharedModel) -> None: super(_ExtractOutputDoFn, self).__init__({'': eval_shared_model.model_loader}) # This keeps track of the number of times the poisson bootstrap encounters # an empty set of elements for a slice sample. Should be extremely rare in # practice, keeping this counter will help us understand if something is # misbehaving. self._num_bootstrap_empties = beam.metrics.Metrics.counter( constants.METRICS_NAMESPACE, 'num_bootstrap_empties') def process( self, element: Tuple[slicer.SliceKeyType, types.MetricVariablesType] ) -> Generator[Tuple[slicer.SliceKeyType, Dict[Text, Any]], None, None]: (slice_key, metric_variables) = element if metric_variables: eval_saved_model = self._loaded_models[''] result = eval_saved_model.metrics_set_variables_and_get_values( metric_variables) yield (slice_key, result) else: # Increase a counter for empty bootstrap samples. When sampling is not # enabled, this should never be exected. This should only occur when the # slice sizes are incredibly small, and seeing large values of this # counter is a sign that something has gone wrong. self._num_bootstrap_empties.inc(1) @beam.typehints.with_input_types(Tuple[slicer.SliceKeyType, types.Extracts]) @beam.typehints.with_output_types(Tuple[slicer.SliceKeyType, types.Extracts]) class _ModelLoadingIdentityFn(model_util.DoFnWithModels): def __init__(self, eval_shared_model: types.EvalSharedModel) -> None: super(_ModelLoadingIdentityFn, self).__init__({'': eval_shared_model.model_loader}) def process( self, element: Tuple[slicer.SliceKeyType, types.Extracts] ) -> List[Tuple[slicer.SliceKeyType, types.Extracts]]: return [element]

true

f73d3e24aacb7656b04f22a6380b4de22def67fb

8,167

py

Python

audiophiler/__init__.py

nfatkhiyev/audiophiler

527d975bdd06604da1a9b3212adcab749c116253

[ "MIT" ]

null

audiophiler/__init__.py

nfatkhiyev/audiophiler

527d975bdd06604da1a9b3212adcab749c116253

[ "MIT" ]

null

audiophiler/__init__.py

nfatkhiyev/audiophiler

527d975bdd06604da1a9b3212adcab749c116253

[ "MIT" ]

1

2020-02-11T17:52:48.000Z

# File: __init__.py # Audiophiler main flask functions import hashlib import os import random import subprocess import json import requests import flask_migrate from flask import Flask, render_template, request, jsonify, redirect from flask_pyoidc.provider_configuration import * from flask_pyoidc.flask_pyoidc import OIDCAuthentication from flask_sqlalchemy import SQLAlchemy from werkzeug.utils import secure_filename from csh_ldap import CSHLDAP from audiophiler.s3 import * from audiophiler.util import * app = Flask(__name__) app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False # Get app config from absolute file path if os.path.exists(os.path.join(os.getcwd(), "config.py")): app.config.from_pyfile(os.path.join(os.getcwd(), "config.py")) else: app.config.from_pyfile(os.path.join(os.getcwd(), "config.env.py")) git_cmd = ['git', 'rev-parse', '--short', 'HEAD'] app.config["GIT_REVISION"] = subprocess.check_output(git_cmd).decode('utf-8').rstrip() _config = ProviderConfiguration( app.config['OIDC_ISSUER'], client_metadata = ClientMetadata( app.config['OIDC_CLIENT_CONFIG']['client_id'], app.config['OIDC_CLIENT_CONFIG']['client_secret'] ) ) auth = OIDCAuthentication({'default': _config}, app) # Get s3 bucket for use in functions and templates s3_bucket = get_bucket(app.config["S3_URL"], app.config["S3_KEY"], app.config["S3_SECRET"], app.config["BUCKET_NAME"]) # Database setup db = SQLAlchemy(app) migrate = flask_migrate.Migrate(app, db) # Import db models after instantiating db object from audiophiler.models import File, Harold, Auth # Create CSHLDAP connection ldap = CSHLDAP(app.config["LDAP_BIND_DN"], app.config["LDAP_BIND_PW"]) # Import ldap functions after creating ldap conn from audiophiler.ldap import ldap_is_eboard, ldap_is_rtp # Disable SSL certificate verification warning requests.packages.urllib3.disable_warnings() @app.route("/") @auth.oidc_auth('default') @audiophiler_auth def home(auth_dict=None): # Retrieve list of files for templating db_files = File.query.all() harolds = get_harold_list(auth_dict["uid"]) is_rtp = ldap_is_rtp(auth_dict["uid"]) is_eboard = ldap_is_eboard(auth_dict["uid"]) return render_template("main.html", db_files=db_files, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=is_rtp, is_eboard=is_eboard) @app.route("/mine") @auth.oidc_auth('default') @audiophiler_auth def mine(auth_dict=None): # Retrieve list of files for templating db_files = File.query.filter_by(author=auth_dict["uid"]).all() harolds = get_harold_list(auth_dict["uid"]) return render_template("main.html", db_files=db_files, get_file_s3=get_file_s3, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=False, is_eboard=False) @app.route("/selected") @auth.oidc_auth('default') @audiophiler_auth def selected(auth_dict=None): is_rtp = ldap_is_rtp(auth_dict["uid"]) is_eboard = ldap_is_eboard(auth_dict["uid"]) #Retrieve list of files for templating harolds = get_harold_list(auth_dict["uid"]) db_files = File.query.filter(File.file_hash.in_(harolds)).all() return render_template("main.html", db_files=db_files, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=is_rtp, is_eboard=is_eboard) @app.route("/upload", methods=["GET"]) @auth.oidc_auth('default') @audiophiler_auth def upload_page(auth_dict=None): return render_template("upload.html", auth_dict=auth_dict) @app.route("/upload", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def upload(auth_dict=None): uploaded_files = [t[1] for t in request.files.items()] upload_status = {} upload_status["error"] = [] upload_status["success"] = [] for f in uploaded_files: # Sanitize file name filename = secure_filename(f.filename) # Hash the file contents (read file in ram) # File contents cannot be read in chunks (this is a flaw in boto file objects) file_hash = hashlib.md5(f.read()).hexdigest() # Reset file pointer to avoid EOF f.seek(0) # Check if file hash is the same as any files already in the db if File.query.filter_by(file_hash=file_hash).first(): upload_status["error"].append(filename) break # Add file info to db file_model = File(filename, auth_dict["uid"], file_hash) if file_model is None: upload_status["error"].append(filename) break # Upload file to s3 upload_file(s3_bucket, file_hash, f) # Add file_model to DB and flush db.session.add(file_model) db.session.flush() db.session.commit() db.session.refresh(file_model) # Set success status info upload_status["success"].append({ "name": file_model.name, "file_hash": file_model.file_hash }) return jsonify(upload_status) @app.route("/delete/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def delete_file(file_hash, auth_dict=None): # Find file model in db file_model = File.query.filter(File.file_hash == file_hash).first() if file_model is None: return "File Not Found", 404 if not auth_dict["uid"] == file_model.author: if not (ldap_is_eboard(auth_dict["uid"]) or ldap_is_rtp(auth_dict["uid"])): return "Permission Denied", 403 # Delete file model db.session.delete(file_model) db.session.flush() db.session.commit() # Delete harold model remove_harold(file_hash) # Delete file from s3 remove_file(s3_bucket, file_hash) return "OK go for it", 200 @app.route("/get_file_url/<string:file_hash>") @auth.oidc_auth('default') @audiophiler_auth def get_s3_url(file_hash, auth_dict=None): # Endpoint to return a presigned url to the s3 asset return redirect(get_file_s3(s3_bucket, file_hash)) @app.route("/set_harold/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def set_harold(file_hash, auth_dict=None): harold_model = Harold(file_hash, auth_dict["uid"]) db.session.add(harold_model) db.session.flush() db.session.commit() db.session.refresh(harold_model) return "OK", 200 @app.route("/delete_harold/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def remove_harold(file_hash, auth_dict=None): harold_model = Harold.query.filter(Harold.file_hash == file_hash).first() if harold_model is None: return "File Not Found", 404 db.session.delete(harold_model) db.session.flush() db.session.commit() return "OK go for it", 200 # This is a post route since auth_key is required @app.route("/get_harold/<string:uid>", methods=["POST"]) def get_harold(uid, auth_dict=None): data_dict = request.get_json() if data_dict["auth_key"]: auth_models = Auth.query.all() for auth_obj in auth_models: if auth_obj.auth_key == data_dict["auth_key"]: harold_file_hash = None harolds_list = get_harold_list(uid) if len(harolds_list) == 0: harold_file_hash = get_random_harold() else: harold_file_hash = random.choice(harolds_list) return get_file_s3(s3_bucket, harold_file_hash) return "Permission denied", 403 @app.route("/logout") @auth.oidc_logout def logout(): return redirect("/", 302) def get_harold_list(uid): harold_list = Harold.query.filter_by(owner=uid).all() harolds = [harold.file_hash for harold in harold_list] return harolds def get_random_harold(): query = Harold.query row_count = int(query.count()) randomized_entry = query.offset(int(row_count*random.random())).first() return randomized_entry.file_hash

33.064777

86

0.691196

import hashlib import os import random import subprocess import json import requests import flask_migrate from flask import Flask, render_template, request, jsonify, redirect from flask_pyoidc.provider_configuration import * from flask_pyoidc.flask_pyoidc import OIDCAuthentication from flask_sqlalchemy import SQLAlchemy from werkzeug.utils import secure_filename from csh_ldap import CSHLDAP from audiophiler.s3 import * from audiophiler.util import * app = Flask(__name__) app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False if os.path.exists(os.path.join(os.getcwd(), "config.py")): app.config.from_pyfile(os.path.join(os.getcwd(), "config.py")) else: app.config.from_pyfile(os.path.join(os.getcwd(), "config.env.py")) git_cmd = ['git', 'rev-parse', '--short', 'HEAD'] app.config["GIT_REVISION"] = subprocess.check_output(git_cmd).decode('utf-8').rstrip() _config = ProviderConfiguration( app.config['OIDC_ISSUER'], client_metadata = ClientMetadata( app.config['OIDC_CLIENT_CONFIG']['client_id'], app.config['OIDC_CLIENT_CONFIG']['client_secret'] ) ) auth = OIDCAuthentication({'default': _config}, app) s3_bucket = get_bucket(app.config["S3_URL"], app.config["S3_KEY"], app.config["S3_SECRET"], app.config["BUCKET_NAME"]) db = SQLAlchemy(app) migrate = flask_migrate.Migrate(app, db) from audiophiler.models import File, Harold, Auth ldap = CSHLDAP(app.config["LDAP_BIND_DN"], app.config["LDAP_BIND_PW"]) from audiophiler.ldap import ldap_is_eboard, ldap_is_rtp requests.packages.urllib3.disable_warnings() @app.route("/") @auth.oidc_auth('default') @audiophiler_auth def home(auth_dict=None): db_files = File.query.all() harolds = get_harold_list(auth_dict["uid"]) is_rtp = ldap_is_rtp(auth_dict["uid"]) is_eboard = ldap_is_eboard(auth_dict["uid"]) return render_template("main.html", db_files=db_files, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=is_rtp, is_eboard=is_eboard) @app.route("/mine") @auth.oidc_auth('default') @audiophiler_auth def mine(auth_dict=None): db_files = File.query.filter_by(author=auth_dict["uid"]).all() harolds = get_harold_list(auth_dict["uid"]) return render_template("main.html", db_files=db_files, get_file_s3=get_file_s3, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=False, is_eboard=False) @app.route("/selected") @auth.oidc_auth('default') @audiophiler_auth def selected(auth_dict=None): is_rtp = ldap_is_rtp(auth_dict["uid"]) is_eboard = ldap_is_eboard(auth_dict["uid"]) harolds = get_harold_list(auth_dict["uid"]) db_files = File.query.filter(File.file_hash.in_(harolds)).all() return render_template("main.html", db_files=db_files, get_date_modified=get_date_modified, s3_bucket=s3_bucket, auth_dict=auth_dict, harolds=harolds, is_rtp=is_rtp, is_eboard=is_eboard) @app.route("/upload", methods=["GET"]) @auth.oidc_auth('default') @audiophiler_auth def upload_page(auth_dict=None): return render_template("upload.html", auth_dict=auth_dict) @app.route("/upload", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def upload(auth_dict=None): uploaded_files = [t[1] for t in request.files.items()] upload_status = {} upload_status["error"] = [] upload_status["success"] = [] for f in uploaded_files: filename = secure_filename(f.filename) file_hash = hashlib.md5(f.read()).hexdigest() f.seek(0) if File.query.filter_by(file_hash=file_hash).first(): upload_status["error"].append(filename) break file_model = File(filename, auth_dict["uid"], file_hash) if file_model is None: upload_status["error"].append(filename) break upload_file(s3_bucket, file_hash, f) db.session.add(file_model) db.session.flush() db.session.commit() db.session.refresh(file_model) upload_status["success"].append({ "name": file_model.name, "file_hash": file_model.file_hash }) return jsonify(upload_status) @app.route("/delete/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def delete_file(file_hash, auth_dict=None): file_model = File.query.filter(File.file_hash == file_hash).first() if file_model is None: return "File Not Found", 404 if not auth_dict["uid"] == file_model.author: if not (ldap_is_eboard(auth_dict["uid"]) or ldap_is_rtp(auth_dict["uid"])): return "Permission Denied", 403 db.session.delete(file_model) db.session.flush() db.session.commit() remove_harold(file_hash) remove_file(s3_bucket, file_hash) return "OK go for it", 200 @app.route("/get_file_url/<string:file_hash>") @auth.oidc_auth('default') @audiophiler_auth def get_s3_url(file_hash, auth_dict=None): return redirect(get_file_s3(s3_bucket, file_hash)) @app.route("/set_harold/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def set_harold(file_hash, auth_dict=None): harold_model = Harold(file_hash, auth_dict["uid"]) db.session.add(harold_model) db.session.flush() db.session.commit() db.session.refresh(harold_model) return "OK", 200 @app.route("/delete_harold/<string:file_hash>", methods=["POST"]) @auth.oidc_auth('default') @audiophiler_auth def remove_harold(file_hash, auth_dict=None): harold_model = Harold.query.filter(Harold.file_hash == file_hash).first() if harold_model is None: return "File Not Found", 404 db.session.delete(harold_model) db.session.flush() db.session.commit() return "OK go for it", 200 @app.route("/get_harold/<string:uid>", methods=["POST"]) def get_harold(uid, auth_dict=None): data_dict = request.get_json() if data_dict["auth_key"]: auth_models = Auth.query.all() for auth_obj in auth_models: if auth_obj.auth_key == data_dict["auth_key"]: harold_file_hash = None harolds_list = get_harold_list(uid) if len(harolds_list) == 0: harold_file_hash = get_random_harold() else: harold_file_hash = random.choice(harolds_list) return get_file_s3(s3_bucket, harold_file_hash) return "Permission denied", 403 @app.route("/logout") @auth.oidc_logout def logout(): return redirect("/", 302) def get_harold_list(uid): harold_list = Harold.query.filter_by(owner=uid).all() harolds = [harold.file_hash for harold in harold_list] return harolds def get_random_harold(): query = Harold.query row_count = int(query.count()) randomized_entry = query.offset(int(row_count*random.random())).first() return randomized_entry.file_hash

true

f73d3e282ad15291ac2386ed566f08d7a326f2dd

6,522

py

Python

rubik_solver/Solver/CFOP/F2LSolver.py

kazi92/rubikSolver

d5c7e273ca982ee3ccf5c9b43c522954e232afd4

[ "MIT" ]

46

2017-04-06T09:55:48.000Z

2022-03-08T13:55:27.000Z

rubik_solver/Solver/CFOP/F2LSolver.py

kazi92/rubikSolver

d5c7e273ca982ee3ccf5c9b43c522954e232afd4

[ "MIT" ]

10

2018-07-14T03:37:41.000Z

2022-03-11T14:05:31.000Z

rubik_solver/Solver/CFOP/F2LSolver.py

kazi92/rubikSolver

d5c7e273ca982ee3ccf5c9b43c522954e232afd4

[ "MIT" ]

26

2017-10-23T21:50:27.000Z

2021-12-16T06:34:41.000Z

from rubik_solver.Move import Move from .. import Solver from ..Beginner.WhiteFaceSolver import WhiteFaceSolver class F2LSolver(Solver): STEPS = { 'FUR': { 'UB': ["R", "U", "R'"], 'FU': ["U'", "F'", "U", "F"], 'FR': ["U", "F'", "U", "F", "U", "F'", "U2", "F"], 'RF': ["U", "F'", "U'", "F", "Y", "U'", "F", "U", "F'", "Y'"], 'RU': ["R", "U'", "R'", "U", "Y'", "U", "R'", "U'", "R", "Y"], 'BU': ["U", "F'", "U2", "F", "U", "F'", "U2", "F"], 'LU': ["U", "F'", "U'", "F", "U", "F'", "U2", "F"], 'UR': ["U'", "R", "U'", "R'", "U", "R", "U", "R'"], 'UL': ["U'", "R", "U", "R'", "U", "R", "U", "R'"], 'UF': ["U", "F'", "U2", "F", "U'", "R", "U", "R'"], }, 'URF': { 'LU': ["F'", "U'", "F"], 'UR': ["U", "R", "U'", "R'"], 'FR': ["U'", "R", "U'", "R'", "U'", "R", "U2", "R'"], 'RF': ["U'", "R", "U", "R'", "Y'", "U", "R'", "U'", "R", "Y"], 'UF': ["F'", "U", "F", "U'", "Y", "U'", "F", "U", "F'", "Y'"], 'UL': ["U'", "R", "U2", "R'", "U'", "R", "U2", "R'"], 'UB': ["U'", "R", "U", "R'", "U'", "R", "U2", "R'"], 'FU': ["U", "F'", "U", "F", "U'", "F'", "U'", "F"], 'BU': ["U", "F'", "U'", "F", "U'", "F'", "U'", "F"], 'RU': ["U'", "R", "U2", "R'", "U", "F'", "U'", "F"], }, 'FRD': { 'FU': ["U", "R", "U'", "R'", "U'", "F'", "U", "F"], 'RU': ["U2", "R", "U'", "R'", "U'", "F'", "U", "F"], 'LU': ["R", "U'", "R'", "U'", "F'", "U", "F"], 'BU': ["U'", "R", "U'", "R'", "U'", "F'", "U", "F"], 'UR': ["U'", "F'", "U", "F", "U", "R", "U'", "R'"], 'UL': ["U", "F'", "U", "F", "U", "R", "U'", "R'"], 'UB': ["F'", "U", "F", "U", "R", "U'", "R'"], 'UF': ["U2", "F'", "U", "F", "U", "R", "U'", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U2", "R", "U", "R'", "U2", "R", "Y"], 'FR': [], }, 'DFR': { 'FU': ["F'", "U", "F", "U'", "F'", "U", "F"], 'UR': ["R", "U", "R'", "U'", "R", "U", "R'"], 'FR': ["R", "U'", "R'", "U", "R", "U2", "R'", "U", "R", "U'", "R'"], 'RF': ["R", "U", "R'", "U'", "R", "U'", "R'", "U", "Y'", "U", "R'", "U'", "R", "Y"], }, 'RDF': { 'FU': ["F'", "U'", "F", "U", "F'", "U'", "F"], 'UR': ["R", "U'", "R'", "U", "R", "U'", "R'"], 'FR': ["R", "U'", "R'", "U'", "R", "U", "R'", "U'", "R", "U2", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U'", "R", "U'", "R'", "U'", "R", "Y"] }, 'RFU':{ 'FR': ["R", "U", "R'", "U'", "R", "U", "R'", "U'", "R", "U", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U", "R", "Y"], 'UF': ["R", "U", "R'", "U'", "U'", "R", "U", "R'", "U'", "R", "U", "R'"], 'UL': ["U2", "R", "U", "R'", "U", "R", "U'", "R'"], 'UB': ["U", "R", "U2", "R'", "U", "R", "U'", "R'"], 'UR': ["R", "U2", "R'", "U'", "R", "U", "R'"], 'LU': ["U'", "F'", "U2", "F", "U'", "F'", "U", "F"], 'BU': ["U2", "F'", "U'", "F", "U'", "F'", "U", "F"], 'RU': ["Y'", "R'", "U'", "R", "U2", "R'", "U'", "R", "U", "R'", "U'", "R", "Y"], 'FU': ["F'", "U2", "F", "U", "F'", "U'", "F"], }, } @staticmethod def get_step(corner, edge): ''' This method returns the step to place to 2 cubies in place, the variables encodes the cubies position and orientation. corner must be a string with 3 letters, each letter represents the facing of the colors in the following way: 1st letter: where the front color (cubie F) is facing in the corner to move 2nd letter: where the right color (cubie R) is facing in the corner to move 3rd letter: where the bottom color (cubie B, usually white) is facing in the corner to move The same applies with the edge variable ''' return F2LSolver.STEPS[corner][edge] def move(self, s, solution): self.cube.move(Move(s)) solution.append(s) def solution(self): solution = [] for _ in range(4): front_color = self.cube.cubies['F'].facings['F'].color right_color = self.cube.cubies['R'].facings['R'].color corner = self.cube.search_by_colors(front_color, right_color, 'W') step_solution = WhiteFaceSolver.first_step(corner, self.cube.cubies[corner].color_facing('W')) solution.extend(step_solution) for s in step_solution: self.cube.move(Move(s)) edge = self.cube.search_by_colors(front_color, right_color) # If edge is in BL or BR, WAF!, this case is not expected in any manual if edge == 'BL': self.move("B'", solution) self.move("U'", solution) self.move("B", solution) elif edge == 'BR': self.move("B", solution) self.move("U", solution) self.move("B'", solution) elif edge == 'FL': self.move("L'", solution) self.move("U'", solution) self.move("L", solution) corner = self.cube.search_by_colors(front_color, right_color, 'W') #Place corner in FRU if needed if 'U' in corner: while corner != 'FRU': self.move("U", solution) corner = self.cube.search_by_colors(front_color, right_color, 'W') edge = self.cube.search_by_colors(front_color, right_color) corner_facings = ''.join([ self.cube.cubies[corner].color_facing(front_color), self.cube.cubies[corner].color_facing(right_color), self.cube.cubies[corner].color_facing('W') ]) edge_facings = ''.join([ self.cube.cubies[edge].color_facing(front_color), self.cube.cubies[edge].color_facing(right_color) ]) step_solution = F2LSolver.get_step(corner_facings, edge_facings) solution.extend(step_solution) for s in step_solution: self.cube.move(Move(s)) self.cube.move(Move("Y")) solution.append("Y") return solution

46.255319

106

0.364765

from rubik_solver.Move import Move from .. import Solver from ..Beginner.WhiteFaceSolver import WhiteFaceSolver class F2LSolver(Solver): STEPS = { 'FUR': { 'UB': ["R", "U", "R'"], 'FU': ["U'", "F'", "U", "F"], 'FR': ["U", "F'", "U", "F", "U", "F'", "U2", "F"], 'RF': ["U", "F'", "U'", "F", "Y", "U'", "F", "U", "F'", "Y'"], 'RU': ["R", "U'", "R'", "U", "Y'", "U", "R'", "U'", "R", "Y"], 'BU': ["U", "F'", "U2", "F", "U", "F'", "U2", "F"], 'LU': ["U", "F'", "U'", "F", "U", "F'", "U2", "F"], 'UR': ["U'", "R", "U'", "R'", "U", "R", "U", "R'"], 'UL': ["U'", "R", "U", "R'", "U", "R", "U", "R'"], 'UF': ["U", "F'", "U2", "F", "U'", "R", "U", "R'"], }, 'URF': { 'LU': ["F'", "U'", "F"], 'UR': ["U", "R", "U'", "R'"], 'FR': ["U'", "R", "U'", "R'", "U'", "R", "U2", "R'"], 'RF': ["U'", "R", "U", "R'", "Y'", "U", "R'", "U'", "R", "Y"], 'UF': ["F'", "U", "F", "U'", "Y", "U'", "F", "U", "F'", "Y'"], 'UL': ["U'", "R", "U2", "R'", "U'", "R", "U2", "R'"], 'UB': ["U'", "R", "U", "R'", "U'", "R", "U2", "R'"], 'FU': ["U", "F'", "U", "F", "U'", "F'", "U'", "F"], 'BU': ["U", "F'", "U'", "F", "U'", "F'", "U'", "F"], 'RU': ["U'", "R", "U2", "R'", "U", "F'", "U'", "F"], }, 'FRD': { 'FU': ["U", "R", "U'", "R'", "U'", "F'", "U", "F"], 'RU': ["U2", "R", "U'", "R'", "U'", "F'", "U", "F"], 'LU': ["R", "U'", "R'", "U'", "F'", "U", "F"], 'BU': ["U'", "R", "U'", "R'", "U'", "F'", "U", "F"], 'UR': ["U'", "F'", "U", "F", "U", "R", "U'", "R'"], 'UL': ["U", "F'", "U", "F", "U", "R", "U'", "R'"], 'UB': ["F'", "U", "F", "U", "R", "U'", "R'"], 'UF': ["U2", "F'", "U", "F", "U", "R", "U'", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U2", "R", "U", "R'", "U2", "R", "Y"], 'FR': [], }, 'DFR': { 'FU': ["F'", "U", "F", "U'", "F'", "U", "F"], 'UR': ["R", "U", "R'", "U'", "R", "U", "R'"], 'FR': ["R", "U'", "R'", "U", "R", "U2", "R'", "U", "R", "U'", "R'"], 'RF': ["R", "U", "R'", "U'", "R", "U'", "R'", "U", "Y'", "U", "R'", "U'", "R", "Y"], }, 'RDF': { 'FU': ["F'", "U'", "F", "U", "F'", "U'", "F"], 'UR': ["R", "U'", "R'", "U", "R", "U'", "R'"], 'FR': ["R", "U'", "R'", "U'", "R", "U", "R'", "U'", "R", "U2", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U'", "R", "U'", "R'", "U'", "R", "Y"] }, 'RFU':{ 'FR': ["R", "U", "R'", "U'", "R", "U", "R'", "U'", "R", "U", "R'"], 'RF': ["R", "U'", "R'", "Y'", "U", "R'", "U", "R", "Y"], 'UF': ["R", "U", "R'", "U'", "U'", "R", "U", "R'", "U'", "R", "U", "R'"], 'UL': ["U2", "R", "U", "R'", "U", "R", "U'", "R'"], 'UB': ["U", "R", "U2", "R'", "U", "R", "U'", "R'"], 'UR': ["R", "U2", "R'", "U'", "R", "U", "R'"], 'LU': ["U'", "F'", "U2", "F", "U'", "F'", "U", "F"], 'BU': ["U2", "F'", "U'", "F", "U'", "F'", "U", "F"], 'RU': ["Y'", "R'", "U'", "R", "U2", "R'", "U'", "R", "U", "R'", "U'", "R", "Y"], 'FU': ["F'", "U2", "F", "U", "F'", "U'", "F"], }, } @staticmethod def get_step(corner, edge): return F2LSolver.STEPS[corner][edge] def move(self, s, solution): self.cube.move(Move(s)) solution.append(s) def solution(self): solution = [] for _ in range(4): front_color = self.cube.cubies['F'].facings['F'].color right_color = self.cube.cubies['R'].facings['R'].color corner = self.cube.search_by_colors(front_color, right_color, 'W') step_solution = WhiteFaceSolver.first_step(corner, self.cube.cubies[corner].color_facing('W')) solution.extend(step_solution) for s in step_solution: self.cube.move(Move(s)) edge = self.cube.search_by_colors(front_color, right_color) # If edge is in BL or BR, WAF!, this case is not expected in any manual if edge == 'BL': self.move("B'", solution) self.move("U'", solution) self.move("B", solution) elif edge == 'BR': self.move("B", solution) self.move("U", solution) self.move("B'", solution) elif edge == 'FL': self.move("L'", solution) self.move("U'", solution) self.move("L", solution) corner = self.cube.search_by_colors(front_color, right_color, 'W') if 'U' in corner: while corner != 'FRU': self.move("U", solution) corner = self.cube.search_by_colors(front_color, right_color, 'W') edge = self.cube.search_by_colors(front_color, right_color) corner_facings = ''.join([ self.cube.cubies[corner].color_facing(front_color), self.cube.cubies[corner].color_facing(right_color), self.cube.cubies[corner].color_facing('W') ]) edge_facings = ''.join([ self.cube.cubies[edge].color_facing(front_color), self.cube.cubies[edge].color_facing(right_color) ]) step_solution = F2LSolver.get_step(corner_facings, edge_facings) solution.extend(step_solution) for s in step_solution: self.cube.move(Move(s)) self.cube.move(Move("Y")) solution.append("Y") return solution

true

f73d3e7a775663a6c877c5359c98a292147c2678

2,169

py

Python

ctr/model.py

Ottovonxu/islide

5ee9954e378f0b5a0722292351cb3cc74b95c1b3

[ "Apache-2.0" ]

null

ctr/model.py

Ottovonxu/islide

5ee9954e378f0b5a0722292351cb3cc74b95c1b3

[ "Apache-2.0" ]

null

ctr/model.py

Ottovonxu/islide

5ee9954e378f0b5a0722292351cb3cc74b95c1b3

[ "Apache-2.0" ]

null

import torch from torch import nn class FCN(nn.Module): def __init__(self, dimension, num_layers=3, num_class=2): super(FCN, self).__init__() self.first_layer = nn.Linear(dimension, 1000) self.first_layer_relu = nn.ReLU() mid_layers = [] for i in range(num_layers - 2): mid_layers.append(nn.Linear(1000, 1000)) mid_layers.append(nn.ReLU()) self.mid_layers = nn.Sequential(*mid_layers) self.last_layer = nn.Linear(1000, num_class) self.softmax = nn.Softmax(dim=1) def forward(self, x): x = self.first_layer(x) x = self.first_layer_relu(x) for layer in self.mid_layers: x = layer(x) x = self.last_layer(x) x = self.softmax(x) return x class LR(nn.Module): def __init__(self, dimension, num_class=2): super(LR, self).__init__() self.last_layer = nn.Linear(dimension, num_class) self.softmax = nn.Softmax(dim=1) def forward(self, x): x = self.last_layer(x) x = self.softmax(x) return x class LRSG(nn.Module): def __init__(self, dimension, num_class=1): super(LRSG, self).__init__() self.last_layer = nn.Linear(dimension, num_class) self.sigmoid = nn.Sigmoid() def forward(self, x): x = self.last_layer(x) x = self.sigmoid(x) return x class FCNSG(nn.Module): def __init__(self, dimension, num_layers=3, num_class=1): super(FCNSG, self).__init__() self.first_layer = nn.Linear(dimension, 1000) self.first_layer_relu = nn.ReLU() mid_layers = [] for i in range(num_layers - 2): mid_layers.append(nn.Linear(1000, 1000)) mid_layers.append(nn.ReLU()) self.mid_layers = nn.Sequential(*mid_layers) self.last_layer = nn.Linear(1000, num_class) self.sigmoid = nn.Sigmoid() def forward(self, x): x = self.first_layer(x) x = self.first_layer_relu(x) for layer in self.mid_layers: x = layer(x) x = self.last_layer(x) x = self.sigmoid(x) return x

28.539474

61

0.591978

import torch from torch import nn class FCN(nn.Module): def __init__(self, dimension, num_layers=3, num_class=2): super(FCN, self).__init__() self.first_layer = nn.Linear(dimension, 1000) self.first_layer_relu = nn.ReLU() mid_layers = [] for i in range(num_layers - 2): mid_layers.append(nn.Linear(1000, 1000)) mid_layers.append(nn.ReLU()) self.mid_layers = nn.Sequential(*mid_layers) self.last_layer = nn.Linear(1000, num_class) self.softmax = nn.Softmax(dim=1) def forward(self, x): x = self.first_layer(x) x = self.first_layer_relu(x) for layer in self.mid_layers: x = layer(x) x = self.last_layer(x) x = self.softmax(x) return x class LR(nn.Module): def __init__(self, dimension, num_class=2): super(LR, self).__init__() self.last_layer = nn.Linear(dimension, num_class) self.softmax = nn.Softmax(dim=1) def forward(self, x): x = self.last_layer(x) x = self.softmax(x) return x class LRSG(nn.Module): def __init__(self, dimension, num_class=1): super(LRSG, self).__init__() self.last_layer = nn.Linear(dimension, num_class) self.sigmoid = nn.Sigmoid() def forward(self, x): x = self.last_layer(x) x = self.sigmoid(x) return x class FCNSG(nn.Module): def __init__(self, dimension, num_layers=3, num_class=1): super(FCNSG, self).__init__() self.first_layer = nn.Linear(dimension, 1000) self.first_layer_relu = nn.ReLU() mid_layers = [] for i in range(num_layers - 2): mid_layers.append(nn.Linear(1000, 1000)) mid_layers.append(nn.ReLU()) self.mid_layers = nn.Sequential(*mid_layers) self.last_layer = nn.Linear(1000, num_class) self.sigmoid = nn.Sigmoid() def forward(self, x): x = self.first_layer(x) x = self.first_layer_relu(x) for layer in self.mid_layers: x = layer(x) x = self.last_layer(x) x = self.sigmoid(x) return x

true

f73d3f367af7a111510038a37e6323f994ad0856

4,279

py

Python

plenum/test/view_change/test_re_order_pre_prepares_for_lagged.py

IDunion/indy-plenum

406afdeca1630be688f803a3cba15115faa20e2b

[ "Apache-2.0" ]

148

2017-07-11T19:05:25.000Z

2022-03-16T21:31:20.000Z

plenum/test/view_change/test_re_order_pre_prepares_for_lagged.py

IDunion/indy-plenum

406afdeca1630be688f803a3cba15115faa20e2b

[ "Apache-2.0" ]

561

2017-06-29T17:59:56.000Z

2022-03-09T15:47:14.000Z

plenum/test/view_change/test_re_order_pre_prepares_for_lagged.py

IDunion/indy-plenum

406afdeca1630be688f803a3cba15115faa20e2b

[ "Apache-2.0" ]

378

2017-06-29T17:45:27.000Z

2022-03-26T07:27:59.000Z

import pytest from plenum.common.constants import DOMAIN_LEDGER_ID, PREPREPARE, PREPARE, COMMIT from plenum.common.messages.internal_messages import ViewChangeStarted, NewViewCheckpointsApplied from plenum.common.messages.node_messages import NewView from plenum.server.consensus.utils import preprepare_to_batch_id from plenum.test.delayers import delay_3pc, msg_rep_delay from plenum.test.helper import sdk_send_random_and_check, max_3pc_batch_limits from plenum.test.node_catchup.helper import waitNodeDataEquality from plenum.test.node_request.helper import sdk_ensure_pool_functional from plenum.test.stasher import delay_rules_without_processing @pytest.fixture(scope="module") def tconf(tconf): with max_3pc_batch_limits(tconf, size=1) as tconf: yield tconf def test_re_order_pre_prepares_no_pre_prepares(looper, txnPoolNodeSet, sdk_wallet_client, sdk_pool_handle): # 1. drop PrePrepars, Prepares and Commits on 4thNode # Order a couple of requests on Nodes 1-3 lagging_node = txnPoolNodeSet[-1] other_nodes = txnPoolNodeSet[:-1] with delay_rules_without_processing(lagging_node.nodeIbStasher, delay_3pc()): sdk_send_random_and_check(looper, txnPoolNodeSet, sdk_pool_handle, sdk_wallet_client, 3) assert all(n.master_last_ordered_3PC == (0, 3) for n in other_nodes) with delay_rules_without_processing(lagging_node.nodeIbStasher, msg_rep_delay(types_to_delay=[PREPREPARE, PREPARE, COMMIT])): # 2. simulate view change start so that # all PrePrepares/Prepares/Commits are cleared # and uncommitted txns are reverted for n in txnPoolNodeSet: n.replicas.send_to_internal_bus(ViewChangeStarted(view_no=1)) master_ordering_service = n.master_replica._ordering_service assert not master_ordering_service.prePrepares assert not master_ordering_service.prepares assert not master_ordering_service.commits ledger = n.db_manager.ledgers[DOMAIN_LEDGER_ID] state = n.db_manager.states[DOMAIN_LEDGER_ID] assert len(ledger.uncommittedTxns) == 0 assert ledger.uncommitted_root_hash == ledger.tree.root_hash assert state.committedHead == state.head # check that all nodes but the lagging one have old_view_pps stored for n in other_nodes: assert n.master_replica._ordering_service.old_view_preprepares assert not lagging_node.master_replica._ordering_service.old_view_preprepares # 3. Simulate View Change finish to re-order the same PrePrepare assert lagging_node.master_last_ordered_3PC == (0, 0) new_master = txnPoolNodeSet[1] batches = sorted([preprepare_to_batch_id(pp) for _, pp in new_master.master_replica._ordering_service.old_view_preprepares.items()]) new_view_msg = NewView(viewNo=0, viewChanges=[], checkpoint=new_master.master_replica._consensus_data.initial_checkpoint, batches=batches) new_view_chk_applied_msg = NewViewCheckpointsApplied(view_no=0, view_changes=[], checkpoint=None, batches=batches) for n in txnPoolNodeSet: n.master_replica._consensus_data.new_view_votes.add_new_view(new_view_msg, n.master_replica._consensus_data.primary_name) n.master_replica._consensus_data.prev_view_prepare_cert = batches[-1].pp_seq_no n.master_replica._ordering_service._bus.send(new_view_chk_applied_msg) # 4. Make sure that the nodes 1-3 (that already ordered the requests) sent Prepares and Commits so that # the request was eventually ordered on Node4 as well waitNodeDataEquality(looper, lagging_node, *other_nodes, customTimeout=60) assert lagging_node.master_last_ordered_3PC == (0, 4) sdk_ensure_pool_functional(looper, txnPoolNodeSet, sdk_wallet_client, sdk_pool_handle)

56.302632

133

0.691283

import pytest from plenum.common.constants import DOMAIN_LEDGER_ID, PREPREPARE, PREPARE, COMMIT from plenum.common.messages.internal_messages import ViewChangeStarted, NewViewCheckpointsApplied from plenum.common.messages.node_messages import NewView from plenum.server.consensus.utils import preprepare_to_batch_id from plenum.test.delayers import delay_3pc, msg_rep_delay from plenum.test.helper import sdk_send_random_and_check, max_3pc_batch_limits from plenum.test.node_catchup.helper import waitNodeDataEquality from plenum.test.node_request.helper import sdk_ensure_pool_functional from plenum.test.stasher import delay_rules_without_processing @pytest.fixture(scope="module") def tconf(tconf): with max_3pc_batch_limits(tconf, size=1) as tconf: yield tconf def test_re_order_pre_prepares_no_pre_prepares(looper, txnPoolNodeSet, sdk_wallet_client, sdk_pool_handle): lagging_node = txnPoolNodeSet[-1] other_nodes = txnPoolNodeSet[:-1] with delay_rules_without_processing(lagging_node.nodeIbStasher, delay_3pc()): sdk_send_random_and_check(looper, txnPoolNodeSet, sdk_pool_handle, sdk_wallet_client, 3) assert all(n.master_last_ordered_3PC == (0, 3) for n in other_nodes) with delay_rules_without_processing(lagging_node.nodeIbStasher, msg_rep_delay(types_to_delay=[PREPREPARE, PREPARE, COMMIT])): for n in txnPoolNodeSet: n.replicas.send_to_internal_bus(ViewChangeStarted(view_no=1)) master_ordering_service = n.master_replica._ordering_service assert not master_ordering_service.prePrepares assert not master_ordering_service.prepares assert not master_ordering_service.commits ledger = n.db_manager.ledgers[DOMAIN_LEDGER_ID] state = n.db_manager.states[DOMAIN_LEDGER_ID] assert len(ledger.uncommittedTxns) == 0 assert ledger.uncommitted_root_hash == ledger.tree.root_hash assert state.committedHead == state.head for n in other_nodes: assert n.master_replica._ordering_service.old_view_preprepares assert not lagging_node.master_replica._ordering_service.old_view_preprepares assert lagging_node.master_last_ordered_3PC == (0, 0) new_master = txnPoolNodeSet[1] batches = sorted([preprepare_to_batch_id(pp) for _, pp in new_master.master_replica._ordering_service.old_view_preprepares.items()]) new_view_msg = NewView(viewNo=0, viewChanges=[], checkpoint=new_master.master_replica._consensus_data.initial_checkpoint, batches=batches) new_view_chk_applied_msg = NewViewCheckpointsApplied(view_no=0, view_changes=[], checkpoint=None, batches=batches) for n in txnPoolNodeSet: n.master_replica._consensus_data.new_view_votes.add_new_view(new_view_msg, n.master_replica._consensus_data.primary_name) n.master_replica._consensus_data.prev_view_prepare_cert = batches[-1].pp_seq_no n.master_replica._ordering_service._bus.send(new_view_chk_applied_msg) waitNodeDataEquality(looper, lagging_node, *other_nodes, customTimeout=60) assert lagging_node.master_last_ordered_3PC == (0, 4) sdk_ensure_pool_functional(looper, txnPoolNodeSet, sdk_wallet_client, sdk_pool_handle)

true

f73d3f47ee4db208101959585a2c6ec037551192

321

py

Python

scripts/burn_token.py

lana-shanghai/hodlthevoid

6eb02d5ce615de36d2c0c5d0140f8b95f96cbd41

[ "Apache-2.0" ]

null

scripts/burn_token.py

lana-shanghai/hodlthevoid

6eb02d5ce615de36d2c0c5d0140f8b95f96cbd41

[ "Apache-2.0" ]

null

scripts/burn_token.py

lana-shanghai/hodlthevoid

6eb02d5ce615de36d2c0c5d0140f8b95f96cbd41

[ "Apache-2.0" ]

null

from brownie import Dogeviathan, accounts, config def main(): dev = accounts.add(config["wallets"]["from_key"]) attacker = accounts.add(config["wallets"]["from_attacker_key"]) dogeviathan = Dogeviathan[len(Dogeviathan) - 1] dogeviathan.burn(0, {"from": dev}) #dogeviathan.burn(1, {"from": attacker})

35.666667

67

0.688474

from brownie import Dogeviathan, accounts, config def main(): dev = accounts.add(config["wallets"]["from_key"]) attacker = accounts.add(config["wallets"]["from_attacker_key"]) dogeviathan = Dogeviathan[len(Dogeviathan) - 1] dogeviathan.burn(0, {"from": dev})

true

f73d3f84737b19db6eef7863ab1ba5ec455b8d46

40,043

py

Python

ma_option_vol/update_excel_workbooks.py

ytmimi/Thesis2017

2133ec067f1c2972736d4bbeb83f88a62a591332

[ "MIT" ]

null

ma_option_vol/update_excel_workbooks.py

ytmimi/Thesis2017

2133ec067f1c2972736d4bbeb83f88a62a591332

[ "MIT" ]

null

ma_option_vol/update_excel_workbooks.py

ytmimi/Thesis2017

2133ec067f1c2972736d4bbeb83f88a62a591332

[ "MIT" ]

null

import warnings import openpyxl import os import datetime as dt import re from statistics import mean, stdev from math import ceil, floor import add_bloomberg_excel_functions as abxl from CONSTANTS import ( OPTION_DESCRIPTION_PATTERN_INT, OPTION_DESCRIPTION_PATTERN_FLOAT, OPTION_SHEET_PATTERN_INT, OPTION_SHEET_PATTERN_FLOAT, STOCK_SHEET_PATTERN, OUTPUT_DIR) def update_sheet_with_BDP_description(workbook_path, sheet_name, starting_col, starting_row): ''' Given an excel workbook, The BDP function is added with the appropriate cell reference and description Note: The excel workbook needs to be opened and saved so that bloomberg data can populate ''' #opens the workbook warnings.warn('''deprecated: Please instantiate an Option_Chain_Sheet class from the data_workbooks module. then use the equivalent sheet_BDP_description method''', DeprecationWarning) wb = openpyxl.load_workbook(workbook_path) #gets the specified sheet from the workbook sheet = wb[sheet_name] total_rows = sheet.max_row total_columns = sheet.max_column #list to keep track of tickers that have already been used unique_ticker = [] #iterate over each column: for i in range(starting_col, total_columns+1, 2): #iterate over each row: for j in range(starting_row, total_rows+1): #check if the current cell is blank if sheet.cell(row=j, column=i).value == None: break else: #check to see if the cell value is unique if sheet.cell(row=j, column=i).value not in unique_ticker: #add the value to the ticker list unique_ticker.append(sheet.cell(row=j, column=i).value) #set the value of the adjacent cell sheet.cell(row=j, column= i+1).value = abxl.add_BDP_fuction(sheet.cell(row=j, column=i).coordinate, "SECURITY_DES") # #saves the workbook wb.save(workbook_path) # wb_name = workbook_path.split('/')[-1] # data = '{} contracts sampled for {}\n'.format(len(unique_ticker), wb_name) # store_data_to_txt_file(file_name='option_des', data=data) def update_option_contract_sheets(workbook_path, sheet_name,starting_col,starting_row, sheet_start_date_cell, sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None): ''' Creates new sheets in the given excel workbook based on Option data stored in the given sheet_name. workbook_path the full file_path to the specified workbook sheet_name Specify the sheet_name that data will be referenced from sheet_start_date_cell Give the coordinates of the cell in sheet_end_date_cell Specify the coordinates of the the cell in the specified sheet that contains the end date ''' warnings.warn('''deprecated: Please instantiate an Option_Workbook class from the data_workbooks module. then use the equivalent create_option_sheet method''', DeprecationWarning) #combine data_table_index and data_table_header total_data_headers = data_table_index+data_table_header #data labels to be added to the new excel worksheet option_data_labels = ['Security Name', 'Description', 'Type', 'Expiration Date', 'Strike Price'] #given the file path, an excel workbook is loaded. wb = openpyxl.load_workbook(workbook_path) #The sheet we want to get data from is set to the variable data_sheet data_sheet = wb[sheet_name] #The cell in the sheet that contains the start date, as passed in by the function. if type(data_sheet[sheet_end_date_cell].value) == int: start_date = dt.datetime.strptime(str(data_sheet[sheet_start_date_cell].value),'%Y%m%d').date() else: start_date= data_sheet[sheet_start_date_cell].value.date() #The cell in the sheet that contains the announcement date, as passed in by the function. if type(data_sheet[sheet_announce_date_cell].value) == int: announcement_date = dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d').date() else: announcement_date= data_sheet[sheet_announce_date_cell].value.date() total_rows = data_sheet.max_row total_columns = data_sheet.max_column #counter to keep track of each sheet created sheet_count = 0 #gets the average stock price and standard deviation of the stock price data for the historic and merger period: historic = historic_stock_mean_and_std(reference_wb_path=workbook_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) merger = merger_stock_mean_and_std(reference_wb_path=workbook_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) #iterate through the columns of the data_sheet for i in range(starting_col, total_columns+1, 2): #iterate through the rows of the data_sheet for j in range(starting_row, total_rows+1): ticker_cell = data_sheet.cell(row=j, column=i).value des_cell = data_sheet.cell(row=j, column=i+1).value #check if the ticker and description cell does not = None if ((ticker_cell != None) and (des_cell != None)): #checks to see if the description cell value follows the pattern of an option description if (re.match(OPTION_DESCRIPTION_PATTERN_INT, des_cell) or re.match(OPTION_DESCRIPTION_PATTERN_FLOAT, des_cell)) : #format_option_description() returns the following list: #[security_name, option_description, option_type, expiration_date, strike_price] option_data = format_option_description(ticker_cell, des_cell) #the number of days between the expiration and start date. expiration_from_start = (option_data[3] - start_date).days #the number of days past the annoucement date and the days_past_announcemt = (option_data[3]- announcement_date).days #import pdb; pdb.set_trace() #if the expiration date is less than 8 days after the start date or if the expiration date is 60 days paste the announcment date, do nothing. if (expiration_from_start < 8) or (days_past_announcemt > 60) : pass #otherwise, keep creating sheets else: #check to see if the stike is within 1.5 standard deviation of the historical and merger stock mean if ((is_in_range(num=option_data[-1], high=historic[0]+1.5*historic[1], low=historic[0]-1.5*historic[1])) or (is_in_range(num=option_data[-1], high=merger[0]+1.5*merger[1], low=merger[0]-1.5*merger[1]))): #creates a new sheet for the passed in workbook new_sheet = wb.create_sheet() #increment the sheet count by 1 sheet_count +=1 #'/' aren't allowed in excel sheet names, so we replace them with '-' if the name contains '/' new_sheet.title = option_data[1].replace('/', '-') #zip creates a tuple pair for each item of the passed in lists. this tuple can then be appended to the sheet for data in zip(option_data_labels,option_data): new_sheet.append(data) #loop through every value of total_data_headers and add it to the worksheet at the specified data_header_row for (index, value) in enumerate(total_data_headers, start= 1) : new_sheet.cell(row = data_header_row,column = index ).value = value #add the BDH formula to the sheet new_sheet.cell(row=data_header_row+1, column=2).value = abxl.add_option_BDH( security_name = option_data[0], fields = data_table_header, start_date = data_sheet[sheet_start_date_cell].value, end_date = 'B4', optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) else: print('Not a valid option description. Could not create new workbook sheets for {}'.format(des_cell)) continue #save the workbook wb.save(workbook_path) wb_name = workbook_path.split('/')[-1] data='Saving workbook with {} new tabs: {} \n'.format(sheet_count,wb_name) store_data_to_txt_file(file_name='option_sheets', data=data) def format_option_description(security_name, option_description): ''' security_name should be a string that looks similar to 'BBG00673J6L5 Equity' option_description should be a string that looks similar to 'PFE US 12/20/14 P18' return formatted option data ''' warnings.warn('''deprecated: moved to data_workbooks module. For simple parsing of an option description instantiate an Option_Chain_Sheet and use the parse_option_description mehtod. for a complete, formated description use the option_metadata, mehtod in the Option_Workbook class.''', DeprecationWarning) #will split the option_description by whitespace into a list that looks like: ['PFE', 'US', '12/20/14', 'P18'] description_list = option_description.split(' ') #determins the option type based on description_list[-1][0] = 'P' if description_list[-1][0] =='P': option_type = 'Put' elif description_list[-1][0] == 'C': option_type = 'Call' #description_list[2] = 12/20/14 and convertis it into a datetime object expiration_date = dt.datetime.strptime(description_list[2],'%m/%d/%y').date() #description_list[-1][1:] = '18', and converts the string to an int try: strike_price = int(description_list[-1][1:]) #if the string was a floating point number like 18.5, convert it to a float except: strike_price = float(description_list[-1][1:]) option_data_list = [security_name, option_description, option_type, expiration_date, strike_price] return option_data_list def update_workbook_data_index(workbook_path, data_start_row, index_column): ''' Given a workbook, loop through all the sheets of that workbook and update the index for each sheet. ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the add_index_to_sheets method in the Option_Workbook class''',DeprecationWarning) #loads an excel workbook given the file path to that workbook. wb = openpyxl.load_workbook(workbook_path) #gets a list of all the sheets in the workbook sheet_list = wb.sheetnames #in case index column was passed in as a character, convert it to an integer index_column= convert_to_numbers(index_column) #iterates through every sheet for (index, sheet_name) in enumerate(sheet_list): #indexing starts at 0. if index == 0: #get the announcement date from the first sheet sheet = wb[sheet_name] announcement_date = sheet['B5'].value #if the sheet_name matches the stock sheet pattern: if re.match(STOCK_SHEET_PATTERN, sheet_name): #load the stock sheet and save it to the stock_sheet variable stock_sheet = wb[sheet_name] total_rows = stock_sheet.max_row update_sheet_index(reference_sheet= stock_sheet, date=announcement_date, start_row=data_start_row) #elif the sheet_name matches an options contract sheet elif(re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name)): #load the option sheet and save it to the option_sheet variable option_sheet = wb[sheet_name] copy_data(reference_sheet=stock_sheet, main_sheet=option_sheet, index_start_row=data_start_row, index_end_row=total_rows, reference_data_column=index_column, main_data_column=index_column) wb.save(workbook_path) print('Indexed each sheet. Saving workbook...') def update_sheet_index(reference_sheet, date, start_row): ''' Given an excel worksheet,a designated date, and a starting row, an index is added for each date relative to the specified date and row ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the add_index method in the Stock_Sheet class''',DeprecationWarning) #gets the total number of rows in the worksheet total_rows = reference_sheet.max_row #returns the row index of the reference_sheet containg the date value index_0 =find_index_0(worksheet=reference_sheet,start= start_row, end=total_rows, date_col=2, date_0= date) #iterates over every column in the given date_column from the start to the end and add the index value to the cell for index in range(start_row, total_rows+1): reference_sheet.cell(row= index, column=1).value = index - index_0 def update_read_data_only(file_path): ''' Opens an Excel workbook in read_only mode, removing links to function calls, but maintaing the values stored in each cell. ''' warnings.warn('''Completely removed''',DeprecationWarning) wb = openpyxl.load_workbook(file_path, data_only= True) wb.save(file_path) return wb def store_data_to_txt_file(file_name, data,file_path=OUTPUT_DIR): ''' Given a file path, output data from a function is stored ''' warnings.warn('''Completely removed''',DeprecationWarning) #full file path complete_path = '{}/{}.{}'.format(file_path,file_name,'txt') #check if the file exists if os.path.exists(file_path): #if the file exisist open it to append f = open(complete_path, 'a') f.write(data) f.close() #else creat the file_path else: os.makedirs(file_path, exist_ok=False) f = open(complete_path, 'w') f.write(data) f.close() def delet_workbook_option_sheets(workbook_path): ''' Given the file path to a workbook, all the option sheets are deleted ''' warnings.warn('''Completely removed''',DeprecationWarning) wb = openpyxl.load_workbook(workbook_path) start_sheet_num = len(wb.sheetnames) #set the active sheet in the workbook to the first sheet: wb.active = 0 for (index,sheet) in enumerate(wb.sheetnames): #if the sheet is an option sheet if(re.match(OPTION_SHEET_PATTERN_INT, sheet)) or (re.match(OPTION_SHEET_PATTERN_FLOAT, sheet)): del wb[sheet] end_sheet_num = len(wb.sheetnames) deleted_sheet_num = start_sheet_num - end_sheet_num wb_name = workbook_path.split('/')[-1] data ='Deleted {} sheets from {} \n'.format(deleted_sheet_num, wb_name) store_data_to_txt_file(file_name= 'deleted_sheets', data= data) wb.save(workbook_path) def find_index_0(worksheet,start, end, date_col, date_0): ''' binary search function to determine which row index of the worksheet contains the date we're looking for. worksheet Should be an openpyxl worksheet object start Should be an index >=1 end Should be an index <= total rows of the given worksheet date_col Should be the column containing dates to search through. 1=A, 2=B, 3=C, etc. date_0 The specific date to search for ''' #list comprehesion for all the row indexes. warnings.warn('''deprecated: moved to data_workbooks module. Use the row_index_by_date method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) index_list = [x for x in range(start,end+1)] start_index = index_list[0] end_index = index_list[-1] average_index = floor((end_index + start_index)/2) #variable for the while loop found = False while not found: #print(start_index, found) curr_date = worksheet.cell(row=average_index, column=date_col).value if (date_0 == curr_date): found = True elif (date_0 > curr_date): start_index = average_index +1 average_index = floor((end_index + start_index)/2) elif (date_0 < curr_date): end_index = average_index -1 average_index = floor((end_index + start_index)/2) return average_index def copy_data(reference_sheet, main_sheet,index_start_row, index_end_row, reference_data_column, main_data_column): ''' Copies data from the reference_sheet to the main_sheet. index_start_row is assumed to be the same for both the reference_sheet and main_sheet reference_sheet: Should be an openpyxl worksheet object that data will be coppied over from. main_sheet: Should be an openpyxl worksheet object taht data will be coppied to. index_start_row: Should be an integer that specifies the row of the worksheet to start copying from. index_end_row: Should be an interger that specifies the last row of the worksheet that data should be coppied from. reference_data_column: Can either be an integer that specifies which column from the reference worksheet contains the data to copied or the letter associated with the data column 1=A, 2=B, C=3, etc. main_data_column: Can either be an integer that specifies which column in the main worksheet the data should be copied to or the letter associated with the data column 1=A, 2=B, C=3, etc. ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the copy_data method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) for i in range(index_start_row, index_end_row+1): #if the value is a datetime.datetime object if type(reference_sheet.cell(row= i, column= reference_data_column).value) == dt.datetime: main_sheet.cell(row=i, column=main_data_column).value = reference_sheet.cell(row=i, column=reference_data_column).value.date() elif reference_sheet.cell(row= i, column= reference_data_column).value == None: continue else: main_sheet.cell(row=i, column=main_data_column).value = reference_sheet.cell(row=i, column=reference_data_column).value def update_stock_price_sheet(workbook_path, sheet_name, stock_sheet_index, sheet_start_date_cell,sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None ): ''' Adds a sheet with stock price information to the workbook ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the create_stock_sheet method in the Option_Workbook class''',DeprecationWarning) #load the given workbook wb = openpyxl.load_workbook(workbook_path) #gets the reference sheet reference_sheet = wb[sheet_name] ticker = '{} {}'.format(reference_sheet['B2'].value, reference_sheet['B3'].value) #create a new sheet, and makes it the second sheet in the workbook. sheet indexing starts at 0. new_sheet = wb.create_sheet(index=stock_sheet_index) #sets the title of the new worksheet new_sheet.title = ticker #basic data to be added to the sheet data = [('Company Name', reference_sheet['B1'].value), ('Company Ticker',ticker), ('Start Date', reference_sheet[sheet_start_date_cell].value), ('Announcement Date',reference_sheet[sheet_announce_date_cell].value), ('End Date',reference_sheet[sheet_end_date_cell].value)] #appends the data to the top of the spreadsheet for (index,data_lst) in enumerate(data): new_sheet.append(data_lst) #combines both passed lists: total_headers = data_table_index + data_table_header #set the index and column headers for the worksheet for (index, value) in enumerate(total_headers, start= 1): new_sheet.cell(row=data_header_row,column=index).value = value if value.upper() == ('DATE'): #sets the BDH function into place new_sheet.cell(row= data_header_row+1, column= index).value = abxl.add_option_BDH(security_name = data[1][1], fields = data_table_header, start_date = reference_sheet[sheet_start_date_cell].value, end_date = reference_sheet[sheet_end_date_cell].value, optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) #saves the newly added sheet to the workbook. wb.save(workbook_path) wb_name = workbook_path.split('/')[-1] data = 'Added {} sheet to workbook: {}\n'.format(ticker, wb_name) store_data_to_txt_file(file_name= 'stock_sheets', data= data) def update_workbook_average_column(reference_wb_path, column_header, header_row, data_start_row, ignore_sheet_list=[]): ''' Given the path to an excel workbook, Averages are calculated for each sheet of data ''' warnings.warn('''Completely removed''',DeprecationWarning) #loads an excel workbook from the given file_path reference_wb = openpyxl.load_workbook(reference_wb_path, data_only=True) #returns a dictionary of 'sheet_names':[column data indexes] for each sheet of the given workbook sheet_data_columns =find_column_index_by_header(reference_wb= reference_wb, column_header= column_header, header_row= header_row) #removes any sheets that are ment to be ignored if provided if ignore_sheet_list != []: #iterates over every sheet name passed into ignore_sheet_list for index, ignore_sheet in enumerate(ignore_sheet_list): #removes the sheet name from the dictionary sheet_data_columns, so that it wont be iterated over next sheet_data_columns.pop(ignore_sheet) #iterate over each key(sheet_name) in sheet_data_columns: for (index,key) in enumerate(sheet_data_columns): #update the given sheet with the average column update_sheet_average_column(reference_wb= reference_wb, sheet_name= key, data_columns= sheet_data_columns[key], data_start_row= data_start_row, column_header= column_header) #saves the excel workbook reference_wb.save(reference_wb_path) print('Saving Workbook...') def update_sheet_average_column(reference_wb,sheet_name,data_columns, data_start_row, column_header): ''' Given an excel worksheet, and a specified list of columns, averages are calcualted for each row of the data ''' #loads the sheet of the reference_wb warnings.warn('''Completely removed''',DeprecationWarning) sheet = reference_wb.get_sheet_by_name(sheet_name) #gets the max row of the sheet max_row = sheet.max_row #gets the max column of the sheet max_col = sheet.max_column #sets the header for the average column to the average_col_header and places it one row above the data sheet.cell(row=data_start_row-1, column=max_col+1).value = '{} {} {}'.format(sheet_name, 'Average', column_header) #iterate over each row of the workbook: for i in range(data_start_row,max_row+1): #an empty lest to store the values for the cells of the given row cell_values = [] #iterate over each cell in the data column for (index, column_ref) in enumerate(data_columns): #if the value of the cell isn't 0, append it to the cell_values list if sheet.cell(row=i, column=column_ref).value != 0: cell_values.append(sheet.cell(row=i, column=column_ref).value) #assing the value of the average column #if the cell_values list is an empyt list if cell_values == []: #set the value of the cell to 0 sheet.cell(row=i, column=max_col+1).value = 0 #else cell_values is populated else: #set the value of the average column to the mean of the cell_values sheet.cell(row=i, column=max_col+1).value = statistics.mean(cell_values) def find_column_index_by_header(reference_wb, column_header, header_row): ''' Returns a dictionary where the key is the sheet name, and the value is the column where the specified header was located ''' #an empty dictionary that will store the sheet_name as the key, and a list of data_columns as the key's value warnings.warn('''Completely removed''',DeprecationWarning) data_columns_by_sheet= {} #iterate over all the sheetnames in the workbook for (index,sheet_name) in enumerate(reference_wb.sheetnames): #load the given worksheet. sheet = reference_wb[sheet_name] #get the max_column for the worksheet: max_col =sheet.max_column #add a key in the dictionary for the given sheet data_columns_by_sheet.setdefault(sheet_name, []) #loop through all the cells in the header_row for i in range(max_col+1): #If the value in the column header matches the header_value we're searching for, then append the column index to the key's list: if column_header == sheet.cell(row=header_row, column=i+1).value: data_columns_by_sheet[sheet_name].append(i+1) #if no columns were found, remove that key from the dictionary if data_columns_by_sheet[sheet_name] == []: data_columns_by_sheet.pop(sheet_name) #return the dictionary with the data for each sheet return data_columns_by_sheet def stock_data_to_list(reference_wb,price_column_header, header_start_row, start_index, end_index): ''' Given the file path to a workbook, data in a particular cell is added to a list and then the list is returned ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the px_last_lst method in the Stock_Sheet class''',DeprecationWarning) #returns a dictionary with {'sheet_name':[data_column]} data_column = find_column_index_by_header(reference_wb = reference_wb, column_header= price_column_header, header_row= header_start_row) #data list to store all the values: data_list = [] #iterate over all the keys in the data_column: for (index,key) in enumerate(data_column): if re.match(STOCK_SHEET_PATTERN, key): #load the worksheet sheet=reference_wb[key] for i in range(start_index, end_index+1): if sheet.cell(row=i,column=data_column[key][0]).value !=0: data_list.append(sheet.cell(row=i,column=data_column[key][0]).value) #return the data_list return data_list def data_average(data_list): ''' returns the average of a given list, rounded down to the nearest whole number ''' warnings.warn('''Completely removed''',DeprecationWarning) return floor(mean(data_list)) def data_standard_dev(data_list): ''' returns the standard deviation of a given list, rounded up to the nearest whole number ''' warnings.warn('''Completely removed''',DeprecationWarning) return ceil(stdev(data=data_list)) def historic_stock_mean_and_std(reference_wb_path,price_column_header, header_start_row, date_0): ''' calculates the mean and standard deviation for prices up to the announcemnt date ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the historic_mean, and historic_std, method in the Stock_Sheet class''',DeprecationWarning) #loads the workbook and the specified sheet wb = openpyxl.load_workbook(reference_wb_path) #get the second sheet in the workbook sheet = wb[wb.sheetnames[1]] total_rows=sheet.max_row index0=find_index_0(worksheet=sheet,start=header_start_row+1, end=total_rows, date_col=2, date_0=date_0) data_list=stock_data_to_list(reference_wb=wb, price_column_header=price_column_header, header_start_row=header_start_row, start_index=header_start_row+1, end_index=index0) average = data_average(data_list) st_dev = data_standard_dev(data_list) return(average, st_dev) def merger_stock_mean_and_std(reference_wb_path, price_column_header, header_start_row, date_0): ''' calculates the mean and standard deviation for prices from the merger date to the end of the M&A ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the merger_mean, and merger_std, method in the Stock_Sheet class''',DeprecationWarning) wb = openpyxl.load_workbook(reference_wb_path) #get the second sheet in the workbook sheet = wb[wb.sheetnames[1]] total_rows=sheet.max_row index0=find_index_0(worksheet=sheet,start=header_start_row+1, end=total_rows, date_col=2, date_0=date_0) data_list=stock_data_to_list(reference_wb=wb, price_column_header=price_column_header, header_start_row=header_start_row, start_index=index0, end_index=total_rows) average = data_average(data_list) st_dev = data_standard_dev(data_list) return(average, st_dev) def is_in_range(num, high, low): ''' Given a number, and a high and low range, True is returned if the number is within the range ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the is_strike_in_range method in the Stock_Sheet class''',DeprecationWarning) return low <= num <= high def fill_option_wb_empty_cells(reference_wb_path, column_start, row_start, fill_value): ''' Goes through each sheet and fills in the blanks with the designated fill_vale ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the fill_option_sheet method in the Option_Workbook class''',DeprecationWarning) #load the workbook wb = openpyxl.load_workbook(reference_wb_path) #iterate over each sheet for (index,sheet_name) in enumerate(wb.sheetnames): #if the sheet is an option sheet if re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name): sheet = wb[sheet_name] fill_option_sheet_empty_cells(reference_sheet=sheet,column_start= column_start, row_start= row_start, fill_value= fill_value) #save the workbook: wb.save(reference_wb_path) print('Done filling empty cells with {}.'.format(fill_value)) def fill_option_sheet_empty_cells(reference_sheet, column_start, row_start, fill_value): ''' Goes through a sheet and fills in the empty cells with the designated fill_value ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the fill_empty_cells method in the Option_Sheet class''',DeprecationWarning) #get the max_rows total_rows=reference_sheet.max_row #get the max_columns total_columns = reference_sheet.max_column #iterate_over_each column: for i in range(column_start, total_columns+1): #iterate over each row: for j in range(row_start, total_rows+1): if reference_sheet.cell(row=j, column=i).value == None: reference_sheet.cell(row=j, column=i).value = fill_value ## added to Data_Worksheet as letter_to_col_index #########################Tested def convert_to_numbers(lst): ''' Takes a list or a single character, and returns an integer, where A=1, B=2, C=3,...etc. ''' warnings.warn('''deprecated: moved to data_workbooks module. Use the letter_to_col_index method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) #if lst is passed in as just a single value if type(lst) == str: lst = openpyxl.utils.column_index_from_string(lst) else: #if lst is passed in as a list for (index, value) in enumerate(lst): if type(value) == str: lst[index] = openpyxl.utils.column_index_from_string(value) return lst def add_extra_sheets(reference_wb_path, sheet_name, ticker_column, description_column,sheet_start_date_cell, sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None): ''' Given a workbook containing option contract tickers and desctiptions, new sheets are added to the workbook if they don't already exist ''' #combine data_table_index and data_table_header total_data_headers = data_table_index+data_table_header #data labels to be added to the new excel worksheet option_data_labels = ['Security Name', 'Description', 'Type', 'Expiration Date', 'Strike Price'] #given the file path, an excel workbook is loaded. wb = openpyxl.load_workbook(reference_wb_path) #The sheet we want to get data from is set to the variable data_sheet data_sheet = wb.get_sheet_by_name(sheet_name) #gets the total rows of the worksheet total_rows = data_sheet.max_row #counter to keep track of each sheet created sheet_count = 0 #gets the average stock price and standard deviation of the stock price data for the historic and merger period: historic = historic_stock_mean_and_std(reference_wb_path=reference_wb_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) merger = merger_stock_mean_and_std(reference_wb_path=reference_wb_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) while (data_sheet.cell(row=total_rows, column= description_column).value).replace('/','-') not in wb.get_sheet_names(): #format_option_description() returns the following list: #[security_name, option_description, option_type, expiration_date, strike_price] option_data = format_option_description(data_sheet.cell(row=total_rows, column=ticker_column).value, data_sheet.cell(row=total_rows, column=description_column).value) if (re.match(OPTION_DESCRIPTION_PATTERN_INT, option_data[1]) or re.match(OPTION_DESCRIPTION_PATTERN_FLOAT,option_data[1])): #check to see if the stike is within 1.5 standard deviation of the historical and merger stock mean if ((is_in_range(num=option_data[-1], high=historic[0]+1.5*historic[1], low=historic[0]-1.5*historic[1])) or (is_in_range(num=option_data[-1], high=merger[0]+1.5*merger[1], low=merger[0]-1.5*merger[1]))): #creates a new sheet for the passed in workbook new_sheet = wb.create_sheet() #increment the sheet count by 1 sheet_count +=1 #/' aren't allowed in excel sheet names, so we replace them with '-' if the name contains '/' new_sheet.title = option_data[1].replace('/', '-') #zip creates a tuple pair for each item of the passed in lists. this tuple can then be appended to the sheet for data in zip(option_data_labels,option_data): new_sheet.append(data) #loop through every value of total_data_headers and add it to the worksheet at the specified data_header_row for (index, value) in enumerate(total_data_headers, start= 1) : new_sheet.cell(row = data_header_row,column = index ).value = value #add the BDH formula to the sheet new_sheet['B{}'.format(data_header_row+1)] = abxl.add_option_BDH( security_name = option_data[0], fields = data_table_header, start_date = data_sheet[sheet_start_date_cell].value, end_date = 'B4', optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) total_rows -= 1 wb.save(reference_wb_path) print('Added {} new sheets to the workbook'.format(sheet_count)) def update_workbook_days_till_expiration(reference_wb_path, data_start_row, date_col, calculation_col): ''' Updates each option sheet in the workbook to contain the days till expiration for that sheets option ''' warnings.warn('''Completely removed''',DeprecationWarning) #loads the workbook wb = openpyxl.load_workbook(reference_wb_path) #converts date_col and calculation_col if passed as letters date_col=convert_to_numbers(date_col) calculation_col = convert_to_numbers(calculation_col) #loop through all the sheets in the workbook for (index, sheet_name) in enumerate(wb.get_sheet_names()): #if the sheet_name matches an option sheet: if re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name): #get the sheet sheet = wb.get_sheet_by_name(sheet_name) update_sheet_days_till_expiration(reference_sheet= sheet, data_start_row= data_start_row, date_col= date_col, calculation_col= calculation_col) #save changes wb.save(reference_wb_path) def update_sheet_days_till_expiration(reference_sheet, data_start_row, date_col, calculation_col): ''' loops over each row containing option data and returns the days till expiration in the designated column ''' warnings.warn('''Completely removed''',DeprecationWarning) #sets the total rows of the worksheet total_rows = reference_sheet.max_row #sets the expiratioin date exp_date = reference_sheet['B4'].value #sets the header of the column reference_sheet.cell(row=data_start_row-1, column=calculation_col).value = 'DTE' #loops thehrough each row from data_start_row till total_rows for i in range(data_start_row, total_rows+1): if reference_sheet.cell(row=i, column=date_col).value == None: break else: curr_date = reference_sheet.cell(row=i, column=date_col).value reference_sheet.cell(row=i, column=calculation_col).value = days_till_expiration(start_date=curr_date, expiration_date=exp_date) def days_till_expiration(start_date, expiration_date): ''' Given an expiration date and a a starting date, the days to expiration is calculated ''' warnings.warn('''Removed. Yet to be reimplimented''',DeprecationWarning) return (expiration_date-start_date).days

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import warnings import openpyxl import os import datetime as dt import re from statistics import mean, stdev from math import ceil, floor import add_bloomberg_excel_functions as abxl from CONSTANTS import ( OPTION_DESCRIPTION_PATTERN_INT, OPTION_DESCRIPTION_PATTERN_FLOAT, OPTION_SHEET_PATTERN_INT, OPTION_SHEET_PATTERN_FLOAT, STOCK_SHEET_PATTERN, OUTPUT_DIR) def update_sheet_with_BDP_description(workbook_path, sheet_name, starting_col, starting_row): warnings.warn('''deprecated: Please instantiate an Option_Chain_Sheet class from the data_workbooks module. then use the equivalent sheet_BDP_description method''', DeprecationWarning) wb = openpyxl.load_workbook(workbook_path) sheet = wb[sheet_name] total_rows = sheet.max_row total_columns = sheet.max_column unique_ticker = [] for i in range(starting_col, total_columns+1, 2): for j in range(starting_row, total_rows+1): if sheet.cell(row=j, column=i).value == None: break else: if sheet.cell(row=j, column=i).value not in unique_ticker: unique_ticker.append(sheet.cell(row=j, column=i).value) sheet.cell(row=j, column= i+1).value = abxl.add_BDP_fuction(sheet.cell(row=j, column=i).coordinate, "SECURITY_DES") ok_path) def update_option_contract_sheets(workbook_path, sheet_name,starting_col,starting_row, sheet_start_date_cell, sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None): warnings.warn('''deprecated: Please instantiate an Option_Workbook class from the data_workbooks module. then use the equivalent create_option_sheet method''', DeprecationWarning) total_data_headers = data_table_index+data_table_header option_data_labels = ['Security Name', 'Description', 'Type', 'Expiration Date', 'Strike Price'] wb = openpyxl.load_workbook(workbook_path) data_sheet = wb[sheet_name] if type(data_sheet[sheet_end_date_cell].value) == int: start_date = dt.datetime.strptime(str(data_sheet[sheet_start_date_cell].value),'%Y%m%d').date() else: start_date= data_sheet[sheet_start_date_cell].value.date() if type(data_sheet[sheet_announce_date_cell].value) == int: announcement_date = dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d').date() else: announcement_date= data_sheet[sheet_announce_date_cell].value.date() total_rows = data_sheet.max_row total_columns = data_sheet.max_column sheet_count = 0 historic = historic_stock_mean_and_std(reference_wb_path=workbook_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) merger = merger_stock_mean_and_std(reference_wb_path=workbook_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) for i in range(starting_col, total_columns+1, 2): for j in range(starting_row, total_rows+1): ticker_cell = data_sheet.cell(row=j, column=i).value des_cell = data_sheet.cell(row=j, column=i+1).value if ((ticker_cell != None) and (des_cell != None)): if (re.match(OPTION_DESCRIPTION_PATTERN_INT, des_cell) or re.match(OPTION_DESCRIPTION_PATTERN_FLOAT, des_cell)) : option_data = format_option_description(ticker_cell, des_cell) expiration_from_start = (option_data[3] - start_date).days days_past_announcemt = (option_data[3]- announcement_date).days if (expiration_from_start < 8) or (days_past_announcemt > 60) : pass else: if ((is_in_range(num=option_data[-1], high=historic[0]+1.5*historic[1], low=historic[0]-1.5*historic[1])) or (is_in_range(num=option_data[-1], high=merger[0]+1.5*merger[1], low=merger[0]-1.5*merger[1]))): new_sheet = wb.create_sheet() sheet_count +=1 new_sheet.title = option_data[1].replace('/', '-') #zip creates a tuple pair for each item of the passed in lists. this tuple can then be appended to the sheet for data in zip(option_data_labels,option_data): new_sheet.append(data) #loop through every value of total_data_headers and add it to the worksheet at the specified data_header_row for (index, value) in enumerate(total_data_headers, start= 1) : new_sheet.cell(row = data_header_row,column = index ).value = value #add the BDH formula to the sheet new_sheet.cell(row=data_header_row+1, column=2).value = abxl.add_option_BDH( security_name = option_data[0], fields = data_table_header, start_date = data_sheet[sheet_start_date_cell].value, end_date = 'B4', optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) else: print('Not a valid option description. Could not create new workbook sheets for {}'.format(des_cell)) continue #save the workbook wb.save(workbook_path) wb_name = workbook_path.split('/')[-1] data='Saving workbook with {} new tabs: {} \n'.format(sheet_count,wb_name) store_data_to_txt_file(file_name='option_sheets', data=data) def format_option_description(security_name, option_description): warnings.warn('''deprecated: moved to data_workbooks module. For simple parsing of an option description instantiate an Option_Chain_Sheet and use the parse_option_description mehtod. for a complete, formated description use the option_metadata, mehtod in the Option_Workbook class.''', DeprecationWarning) #will split the option_description by whitespace into a list that looks like: ['PFE', 'US', '12/20/14', 'P18'] description_list = option_description.split(' ') #determins the option type based on description_list[-1][0] = 'P' if description_list[-1][0] =='P': option_type = 'Put' elif description_list[-1][0] == 'C': option_type = 'Call' #description_list[2] = 12/20/14 and convertis it into a datetime object expiration_date = dt.datetime.strptime(description_list[2],'%m/%d/%y').date() #description_list[-1][1:] = '18', and converts the string to an int try: strike_price = int(description_list[-1][1:]) #if the string was a floating point number like 18.5, convert it to a float except: strike_price = float(description_list[-1][1:]) option_data_list = [security_name, option_description, option_type, expiration_date, strike_price] return option_data_list def update_workbook_data_index(workbook_path, data_start_row, index_column): warnings.warn('''deprecated: moved to data_workbooks module. Use the add_index_to_sheets method in the Option_Workbook class''',DeprecationWarning) #loads an excel workbook given the file path to that workbook. wb = openpyxl.load_workbook(workbook_path) #gets a list of all the sheets in the workbook sheet_list = wb.sheetnames #in case index column was passed in as a character, convert it to an integer index_column= convert_to_numbers(index_column) #iterates through every sheet for (index, sheet_name) in enumerate(sheet_list): #indexing starts at 0. if index == 0: #get the announcement date from the first sheet sheet = wb[sheet_name] announcement_date = sheet['B5'].value #if the sheet_name matches the stock sheet pattern: if re.match(STOCK_SHEET_PATTERN, sheet_name): #load the stock sheet and save it to the stock_sheet variable stock_sheet = wb[sheet_name] total_rows = stock_sheet.max_row update_sheet_index(reference_sheet= stock_sheet, date=announcement_date, start_row=data_start_row) #elif the sheet_name matches an options contract sheet elif(re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name)): #load the option sheet and save it to the option_sheet variable option_sheet = wb[sheet_name] copy_data(reference_sheet=stock_sheet, main_sheet=option_sheet, index_start_row=data_start_row, index_end_row=total_rows, reference_data_column=index_column, main_data_column=index_column) wb.save(workbook_path) print('Indexed each sheet. Saving workbook...') def update_sheet_index(reference_sheet, date, start_row): warnings.warn('''deprecated: moved to data_workbooks module. Use the add_index method in the Stock_Sheet class''',DeprecationWarning) #gets the total number of rows in the worksheet total_rows = reference_sheet.max_row #returns the row index of the reference_sheet containg the date value index_0 =find_index_0(worksheet=reference_sheet,start= start_row, end=total_rows, date_col=2, date_0= date) #iterates over every column in the given date_column from the start to the end and add the index value to the cell for index in range(start_row, total_rows+1): reference_sheet.cell(row= index, column=1).value = index - index_0 def update_read_data_only(file_path): warnings.warn('''Completely removed''',DeprecationWarning) wb = openpyxl.load_workbook(file_path, data_only= True) wb.save(file_path) return wb def store_data_to_txt_file(file_name, data,file_path=OUTPUT_DIR): warnings.warn('''Completely removed''',DeprecationWarning) #full file path complete_path = '{}/{}.{}'.format(file_path,file_name,'txt') #check if the file exists if os.path.exists(file_path): #if the file exisist open it to append f = open(complete_path, 'a') f.write(data) f.close() #else creat the file_path else: os.makedirs(file_path, exist_ok=False) f = open(complete_path, 'w') f.write(data) f.close() def delet_workbook_option_sheets(workbook_path): warnings.warn('''Completely removed''',DeprecationWarning) wb = openpyxl.load_workbook(workbook_path) start_sheet_num = len(wb.sheetnames) #set the active sheet in the workbook to the first sheet: wb.active = 0 for (index,sheet) in enumerate(wb.sheetnames): #if the sheet is an option sheet if(re.match(OPTION_SHEET_PATTERN_INT, sheet)) or (re.match(OPTION_SHEET_PATTERN_FLOAT, sheet)): del wb[sheet] end_sheet_num = len(wb.sheetnames) deleted_sheet_num = start_sheet_num - end_sheet_num wb_name = workbook_path.split('/')[-1] data ='Deleted {} sheets from {} \n'.format(deleted_sheet_num, wb_name) store_data_to_txt_file(file_name= 'deleted_sheets', data= data) wb.save(workbook_path) def find_index_0(worksheet,start, end, date_col, date_0): #list comprehesion for all the row indexes. warnings.warn('''deprecated: moved to data_workbooks module. Use the row_index_by_date method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) index_list = [x for x in range(start,end+1)] start_index = index_list[0] end_index = index_list[-1] average_index = floor((end_index + start_index)/2) #variable for the while loop found = False while not found: #print(start_index, found) curr_date = worksheet.cell(row=average_index, column=date_col).value if (date_0 == curr_date): found = True elif (date_0 > curr_date): start_index = average_index +1 average_index = floor((end_index + start_index)/2) elif (date_0 < curr_date): end_index = average_index -1 average_index = floor((end_index + start_index)/2) return average_index def copy_data(reference_sheet, main_sheet,index_start_row, index_end_row, reference_data_column, main_data_column): warnings.warn('''deprecated: moved to data_workbooks module. Use the copy_data method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) for i in range(index_start_row, index_end_row+1): #if the value is a datetime.datetime object if type(reference_sheet.cell(row= i, column= reference_data_column).value) == dt.datetime: main_sheet.cell(row=i, column=main_data_column).value = reference_sheet.cell(row=i, column=reference_data_column).value.date() elif reference_sheet.cell(row= i, column= reference_data_column).value == None: continue else: main_sheet.cell(row=i, column=main_data_column).value = reference_sheet.cell(row=i, column=reference_data_column).value def update_stock_price_sheet(workbook_path, sheet_name, stock_sheet_index, sheet_start_date_cell,sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None ): warnings.warn('''deprecated: moved to data_workbooks module. Use the create_stock_sheet method in the Option_Workbook class''',DeprecationWarning) #load the given workbook wb = openpyxl.load_workbook(workbook_path) #gets the reference sheet reference_sheet = wb[sheet_name] ticker = '{} {}'.format(reference_sheet['B2'].value, reference_sheet['B3'].value) #create a new sheet, and makes it the second sheet in the workbook. sheet indexing starts at 0. new_sheet = wb.create_sheet(index=stock_sheet_index) #sets the title of the new worksheet new_sheet.title = ticker #basic data to be added to the sheet data = [('Company Name', reference_sheet['B1'].value), ('Company Ticker',ticker), ('Start Date', reference_sheet[sheet_start_date_cell].value), ('Announcement Date',reference_sheet[sheet_announce_date_cell].value), ('End Date',reference_sheet[sheet_end_date_cell].value)] #appends the data to the top of the spreadsheet for (index,data_lst) in enumerate(data): new_sheet.append(data_lst) #combines both passed lists: total_headers = data_table_index + data_table_header #set the index and column headers for the worksheet for (index, value) in enumerate(total_headers, start= 1): new_sheet.cell(row=data_header_row,column=index).value = value if value.upper() == ('DATE'): #sets the BDH function into place new_sheet.cell(row= data_header_row+1, column= index).value = abxl.add_option_BDH(security_name = data[1][1], fields = data_table_header, start_date = reference_sheet[sheet_start_date_cell].value, end_date = reference_sheet[sheet_end_date_cell].value, optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) #saves the newly added sheet to the workbook. wb.save(workbook_path) wb_name = workbook_path.split('/')[-1] data = 'Added {} sheet to workbook: {}\n'.format(ticker, wb_name) store_data_to_txt_file(file_name= 'stock_sheets', data= data) def update_workbook_average_column(reference_wb_path, column_header, header_row, data_start_row, ignore_sheet_list=[]): warnings.warn('''Completely removed''',DeprecationWarning) #loads an excel workbook from the given file_path reference_wb = openpyxl.load_workbook(reference_wb_path, data_only=True) #returns a dictionary of 'sheet_names':[column data indexes] for each sheet of the given workbook sheet_data_columns =find_column_index_by_header(reference_wb= reference_wb, column_header= column_header, header_row= header_row) #removes any sheets that are ment to be ignored if provided if ignore_sheet_list != []: #iterates over every sheet name passed into ignore_sheet_list for index, ignore_sheet in enumerate(ignore_sheet_list): #removes the sheet name from the dictionary sheet_data_columns, so that it wont be iterated over next sheet_data_columns.pop(ignore_sheet) #iterate over each key(sheet_name) in sheet_data_columns: for (index,key) in enumerate(sheet_data_columns): #update the given sheet with the average column update_sheet_average_column(reference_wb= reference_wb, sheet_name= key, data_columns= sheet_data_columns[key], data_start_row= data_start_row, column_header= column_header) #saves the excel workbook reference_wb.save(reference_wb_path) print('Saving Workbook...') def update_sheet_average_column(reference_wb,sheet_name,data_columns, data_start_row, column_header): #loads the sheet of the reference_wb warnings.warn('''Completely removed''',DeprecationWarning) sheet = reference_wb.get_sheet_by_name(sheet_name) #gets the max row of the sheet max_row = sheet.max_row #gets the max column of the sheet max_col = sheet.max_column #sets the header for the average column to the average_col_header and places it one row above the data sheet.cell(row=data_start_row-1, column=max_col+1).value = '{} {} {}'.format(sheet_name, 'Average', column_header) #iterate over each row of the workbook: for i in range(data_start_row,max_row+1): #an empty lest to store the values for the cells of the given row cell_values = [] #iterate over each cell in the data column for (index, column_ref) in enumerate(data_columns): #if the value of the cell isn't 0, append it to the cell_values list if sheet.cell(row=i, column=column_ref).value != 0: cell_values.append(sheet.cell(row=i, column=column_ref).value) if cell_values == []: sheet.cell(row=i, column=max_col+1).value = 0 else: sheet.cell(row=i, column=max_col+1).value = statistics.mean(cell_values) def find_column_index_by_header(reference_wb, column_header, header_row): warnings.warn('''Completely removed''',DeprecationWarning) data_columns_by_sheet= {} #iterate over all the sheetnames in the workbook for (index,sheet_name) in enumerate(reference_wb.sheetnames): #load the given worksheet. sheet = reference_wb[sheet_name] #get the max_column for the worksheet: max_col =sheet.max_column #add a key in the dictionary for the given sheet data_columns_by_sheet.setdefault(sheet_name, []) #loop through all the cells in the header_row for i in range(max_col+1): #If the value in the column header matches the header_value we're searching for, then append the column index to the key's list: if column_header == sheet.cell(row=header_row, column=i+1).value: data_columns_by_sheet[sheet_name].append(i+1) #if no columns were found, remove that key from the dictionary if data_columns_by_sheet[sheet_name] == []: data_columns_by_sheet.pop(sheet_name) #return the dictionary with the data for each sheet return data_columns_by_sheet def stock_data_to_list(reference_wb,price_column_header, header_start_row, start_index, end_index): warnings.warn('''deprecated: moved to data_workbooks module. Use the px_last_lst method in the Stock_Sheet class''',DeprecationWarning) #returns a dictionary with {'sheet_name':[data_column]} data_column = find_column_index_by_header(reference_wb = reference_wb, column_header= price_column_header, header_row= header_start_row) #data list to store all the values: data_list = [] #iterate over all the keys in the data_column: for (index,key) in enumerate(data_column): if re.match(STOCK_SHEET_PATTERN, key): #load the worksheet sheet=reference_wb[key] for i in range(start_index, end_index+1): if sheet.cell(row=i,column=data_column[key][0]).value !=0: data_list.append(sheet.cell(row=i,column=data_column[key][0]).value) #return the data_list return data_list def data_average(data_list): warnings.warn('''Completely removed''',DeprecationWarning) return floor(mean(data_list)) def data_standard_dev(data_list): warnings.warn('''Completely removed''',DeprecationWarning) return ceil(stdev(data=data_list)) def historic_stock_mean_and_std(reference_wb_path,price_column_header, header_start_row, date_0): warnings.warn('''deprecated: moved to data_workbooks module. Use the historic_mean, and historic_std, method in the Stock_Sheet class''',DeprecationWarning) #loads the workbook and the specified sheet wb = openpyxl.load_workbook(reference_wb_path) #get the second sheet in the workbook sheet = wb[wb.sheetnames[1]] total_rows=sheet.max_row index0=find_index_0(worksheet=sheet,start=header_start_row+1, end=total_rows, date_col=2, date_0=date_0) data_list=stock_data_to_list(reference_wb=wb, price_column_header=price_column_header, header_start_row=header_start_row, start_index=header_start_row+1, end_index=index0) average = data_average(data_list) st_dev = data_standard_dev(data_list) return(average, st_dev) def merger_stock_mean_and_std(reference_wb_path, price_column_header, header_start_row, date_0): warnings.warn('''deprecated: moved to data_workbooks module. Use the merger_mean, and merger_std, method in the Stock_Sheet class''',DeprecationWarning) wb = openpyxl.load_workbook(reference_wb_path) #get the second sheet in the workbook sheet = wb[wb.sheetnames[1]] total_rows=sheet.max_row index0=find_index_0(worksheet=sheet,start=header_start_row+1, end=total_rows, date_col=2, date_0=date_0) data_list=stock_data_to_list(reference_wb=wb, price_column_header=price_column_header, header_start_row=header_start_row, start_index=index0, end_index=total_rows) average = data_average(data_list) st_dev = data_standard_dev(data_list) return(average, st_dev) def is_in_range(num, high, low): warnings.warn('''deprecated: moved to data_workbooks module. Use the is_strike_in_range method in the Stock_Sheet class''',DeprecationWarning) return low <= num <= high def fill_option_wb_empty_cells(reference_wb_path, column_start, row_start, fill_value): warnings.warn('''deprecated: moved to data_workbooks module. Use the fill_option_sheet method in the Option_Workbook class''',DeprecationWarning) #load the workbook wb = openpyxl.load_workbook(reference_wb_path) #iterate over each sheet for (index,sheet_name) in enumerate(wb.sheetnames): #if the sheet is an option sheet if re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name): sheet = wb[sheet_name] fill_option_sheet_empty_cells(reference_sheet=sheet,column_start= column_start, row_start= row_start, fill_value= fill_value) #save the workbook: wb.save(reference_wb_path) print('Done filling empty cells with {}.'.format(fill_value)) def fill_option_sheet_empty_cells(reference_sheet, column_start, row_start, fill_value): warnings.warn('''deprecated: moved to data_workbooks module. Use the fill_empty_cells method in the Option_Sheet class''',DeprecationWarning) #get the max_rows total_rows=reference_sheet.max_row #get the max_columns total_columns = reference_sheet.max_column #iterate_over_each column: for i in range(column_start, total_columns+1): #iterate over each row: for j in range(row_start, total_rows+1): if reference_sheet.cell(row=j, column=i).value == None: reference_sheet.cell(row=j, column=i).value = fill_value ## added to Data_Worksheet as letter_to_col_index #########################Tested def convert_to_numbers(lst): warnings.warn('''deprecated: moved to data_workbooks module. Use the letter_to_col_index method in the Data_WorkSheet class or any class that inherits from it''',DeprecationWarning) #if lst is passed in as just a single value if type(lst) == str: lst = openpyxl.utils.column_index_from_string(lst) else: #if lst is passed in as a list for (index, value) in enumerate(lst): if type(value) == str: lst[index] = openpyxl.utils.column_index_from_string(value) return lst def add_extra_sheets(reference_wb_path, sheet_name, ticker_column, description_column,sheet_start_date_cell, sheet_announce_date_cell, sheet_end_date_cell, data_header_row, data_table_index, data_table_header, BDH_optional_arg=None, BDH_optional_val=None): #combine data_table_index and data_table_header total_data_headers = data_table_index+data_table_header #data labels to be added to the new excel worksheet option_data_labels = ['Security Name', 'Description', 'Type', 'Expiration Date', 'Strike Price'] #given the file path, an excel workbook is loaded. wb = openpyxl.load_workbook(reference_wb_path) #The sheet we want to get data from is set to the variable data_sheet data_sheet = wb.get_sheet_by_name(sheet_name) #gets the total rows of the worksheet total_rows = data_sheet.max_row #counter to keep track of each sheet created sheet_count = 0 #gets the average stock price and standard deviation of the stock price data for the historic and merger period: historic = historic_stock_mean_and_std(reference_wb_path=reference_wb_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) merger = merger_stock_mean_and_std(reference_wb_path=reference_wb_path, price_column_header='PX_LAST', header_start_row=data_header_row, date_0=dt.datetime.strptime(str(data_sheet[sheet_announce_date_cell].value),'%Y%m%d')) while (data_sheet.cell(row=total_rows, column= description_column).value).replace('/','-') not in wb.get_sheet_names(): #format_option_description() returns the following list: #[security_name, option_description, option_type, expiration_date, strike_price] option_data = format_option_description(data_sheet.cell(row=total_rows, column=ticker_column).value, data_sheet.cell(row=total_rows, column=description_column).value) if (re.match(OPTION_DESCRIPTION_PATTERN_INT, option_data[1]) or re.match(OPTION_DESCRIPTION_PATTERN_FLOAT,option_data[1])): #check to see if the stike is within 1.5 standard deviation of the historical and merger stock mean if ((is_in_range(num=option_data[-1], high=historic[0]+1.5*historic[1], low=historic[0]-1.5*historic[1])) or (is_in_range(num=option_data[-1], high=merger[0]+1.5*merger[1], low=merger[0]-1.5*merger[1]))): #creates a new sheet for the passed in workbook new_sheet = wb.create_sheet() #increment the sheet count by 1 sheet_count +=1 #/' aren't allowed in excel sheet names, so we replace them with '-' if the name contains '/' new_sheet.title = option_data[1].replace('/', '-') #zip creates a tuple pair for each item of the passed in lists. this tuple can then be appended to the sheet for data in zip(option_data_labels,option_data): new_sheet.append(data) #loop through every value of total_data_headers and add it to the worksheet at the specified data_header_row for (index, value) in enumerate(total_data_headers, start= 1) : new_sheet.cell(row = data_header_row,column = index ).value = value #add the BDH formula to the sheet new_sheet['B{}'.format(data_header_row+1)] = abxl.add_option_BDH( security_name = option_data[0], fields = data_table_header, start_date = data_sheet[sheet_start_date_cell].value, end_date = 'B4', optional_arg = BDH_optional_arg, optional_val = BDH_optional_val) total_rows -= 1 wb.save(reference_wb_path) print('Added {} new sheets to the workbook'.format(sheet_count)) def update_workbook_days_till_expiration(reference_wb_path, data_start_row, date_col, calculation_col): warnings.warn('''Completely removed''',DeprecationWarning) #loads the workbook wb = openpyxl.load_workbook(reference_wb_path) #converts date_col and calculation_col if passed as letters date_col=convert_to_numbers(date_col) calculation_col = convert_to_numbers(calculation_col) #loop through all the sheets in the workbook for (index, sheet_name) in enumerate(wb.get_sheet_names()): #if the sheet_name matches an option sheet: if re.match(OPTION_SHEET_PATTERN_INT, sheet_name) or re.match(OPTION_SHEET_PATTERN_FLOAT, sheet_name): #get the sheet sheet = wb.get_sheet_by_name(sheet_name) update_sheet_days_till_expiration(reference_sheet= sheet, data_start_row= data_start_row, date_col= date_col, calculation_col= calculation_col) #save changes wb.save(reference_wb_path) def update_sheet_days_till_expiration(reference_sheet, data_start_row, date_col, calculation_col): warnings.warn('''Completely removed''',DeprecationWarning) #sets the total rows of the worksheet total_rows = reference_sheet.max_row #sets the expiratioin date exp_date = reference_sheet['B4'].value #sets the header of the column reference_sheet.cell(row=data_start_row-1, column=calculation_col).value = 'DTE' #loops thehrough each row from data_start_row till total_rows for i in range(data_start_row, total_rows+1): if reference_sheet.cell(row=i, column=date_col).value == None: break else: curr_date = reference_sheet.cell(row=i, column=date_col).value reference_sheet.cell(row=i, column=calculation_col).value = days_till_expiration(start_date=curr_date, expiration_date=exp_date) def days_till_expiration(start_date, expiration_date): warnings.warn('''Removed. Yet to be reimplimented''',DeprecationWarning) return (expiration_date-start_date).days

true

f73d4018da427d7cf2e97adebdc875ce2b8e8f52

3,320

py

Python

passbook/sources/ldap/migrations/0001_initial.py

fossabot/passbook

cba17f6659404445ac3025f11657d89368cc8b4f

[ "MIT" ]

null

passbook/sources/ldap/migrations/0001_initial.py

fossabot/passbook

cba17f6659404445ac3025f11657d89368cc8b4f

[ "MIT" ]

null

passbook/sources/ldap/migrations/0001_initial.py

fossabot/passbook

cba17f6659404445ac3025f11657d89368cc8b4f

[ "MIT" ]

null

# Generated by Django 2.2.6 on 2019-10-08 20:43 import django.core.validators import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ("passbook_core", "0001_initial"), ] operations = [ migrations.CreateModel( name="LDAPPropertyMapping", fields=[ ( "propertymapping_ptr", models.OneToOneField( auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to="passbook_core.PropertyMapping", ), ), ("ldap_property", models.TextField()), ("object_field", models.TextField()), ], options={"abstract": False,}, bases=("passbook_core.propertymapping",), ), migrations.CreateModel( name="LDAPSource", fields=[ ( "source_ptr", models.OneToOneField( auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to="passbook_core.Source", ), ), ( "server_uri", models.URLField( validators=[ django.core.validators.URLValidator( schemes=["ldap", "ldaps"] ) ] ), ), ("bind_cn", models.TextField()), ("bind_password", models.TextField()), ("start_tls", models.BooleanField(default=False)), ("base_dn", models.TextField()), ( "additional_user_dn", models.TextField( help_text="Prepended to Base DN for User-queries." ), ), ( "additional_group_dn", models.TextField( help_text="Prepended to Base DN for Group-queries." ), ), ("user_object_filter", models.TextField()), ("group_object_filter", models.TextField()), ("sync_groups", models.BooleanField(default=True)), ( "sync_parent_group", models.ForeignKey( blank=True, default=None, on_delete=django.db.models.deletion.SET_DEFAULT, to="passbook_core.Group", ), ), ], options={ "verbose_name": "LDAP Source", "verbose_name_plural": "LDAP Sources", }, bases=("passbook_core.source",), ), ]

34.226804

75

0.413253

import django.core.validators import django.db.models.deletion from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ("passbook_core", "0001_initial"), ] operations = [ migrations.CreateModel( name="LDAPPropertyMapping", fields=[ ( "propertymapping_ptr", models.OneToOneField( auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to="passbook_core.PropertyMapping", ), ), ("ldap_property", models.TextField()), ("object_field", models.TextField()), ], options={"abstract": False,}, bases=("passbook_core.propertymapping",), ), migrations.CreateModel( name="LDAPSource", fields=[ ( "source_ptr", models.OneToOneField( auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to="passbook_core.Source", ), ), ( "server_uri", models.URLField( validators=[ django.core.validators.URLValidator( schemes=["ldap", "ldaps"] ) ] ), ), ("bind_cn", models.TextField()), ("bind_password", models.TextField()), ("start_tls", models.BooleanField(default=False)), ("base_dn", models.TextField()), ( "additional_user_dn", models.TextField( help_text="Prepended to Base DN for User-queries." ), ), ( "additional_group_dn", models.TextField( help_text="Prepended to Base DN for Group-queries." ), ), ("user_object_filter", models.TextField()), ("group_object_filter", models.TextField()), ("sync_groups", models.BooleanField(default=True)), ( "sync_parent_group", models.ForeignKey( blank=True, default=None, on_delete=django.db.models.deletion.SET_DEFAULT, to="passbook_core.Group", ), ), ], options={ "verbose_name": "LDAP Source", "verbose_name_plural": "LDAP Sources", }, bases=("passbook_core.source",), ), ]

true

f73d404d8e57e68853eb007001c653562b62b002

102,721

py

Python

packages/python/plotly/plotly/graph_objs/_funnel.py

mastermind88/plotly.py

efa70710df1af22958e1be080e105130042f1839

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/_funnel.py

mastermind88/plotly.py

efa70710df1af22958e1be080e105130042f1839

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/_funnel.py

mastermind88/plotly.py

efa70710df1af22958e1be080e105130042f1839

[ "MIT" ]

null

from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Funnel(_BaseTraceType): # class properties # -------------------- _parent_path_str = "" _path_str = "funnel" _valid_props = { "alignmentgroup", "cliponaxis", "connector", "constraintext", "customdata", "customdatasrc", "dx", "dy", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "insidetextanchor", "insidetextfont", "legendgroup", "legendgrouptitle", "legendrank", "marker", "meta", "metasrc", "name", "offset", "offsetgroup", "opacity", "orientation", "outsidetextfont", "selectedpoints", "showlegend", "stream", "text", "textangle", "textfont", "textinfo", "textposition", "textpositionsrc", "textsrc", "texttemplate", "texttemplatesrc", "type", "uid", "uirevision", "visible", "width", "x", "x0", "xaxis", "xhoverformat", "xperiod", "xperiod0", "xperiodalignment", "xsrc", "y", "y0", "yaxis", "yhoverformat", "yperiod", "yperiod0", "yperiodalignment", "ysrc", } # alignmentgroup # -------------- @property def alignmentgroup(self): """ Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. The 'alignmentgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["alignmentgroup"] @alignmentgroup.setter def alignmentgroup(self, val): self["alignmentgroup"] = val # cliponaxis # ---------- @property def cliponaxis(self): """ Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. The 'cliponaxis' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["cliponaxis"] @cliponaxis.setter def cliponaxis(self, val): self["cliponaxis"] = val # connector # --------- @property def connector(self): """ The 'connector' property is an instance of Connector that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Connector` - A dict of string/value properties that will be passed to the Connector constructor Supported dict properties: fillcolor Sets the fill color. line :class:`plotly.graph_objects.funnel.connector.L ine` instance or dict with compatible properties visible Determines if connector regions and lines are drawn. Returns ------- plotly.graph_objs.funnel.Connector """ return self["connector"] @connector.setter def connector(self, val): self["connector"] = val # constraintext # ------------- @property def constraintext(self): """ Constrain the size of text inside or outside a bar to be no larger than the bar itself. The 'constraintext' property is an enumeration that may be specified as: - One of the following enumeration values: ['inside', 'outside', 'both', 'none'] Returns ------- Any """ return self["constraintext"] @constraintext.setter def constraintext(self, val): self["constraintext"] = val # customdata # ---------- @property def customdata(self): """ Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val # customdatasrc # ------------- @property def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val # dx # -- @property def dx(self): """ Sets the x coordinate step. See `x0` for more info. The 'dx' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dx"] @dx.setter def dx(self, val): self["dx"] = val # dy # -- @property def dy(self): """ Sets the y coordinate step. See `y0` for more info. The 'dy' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["dy"] @dy.setter def dy(self, val): self["dy"] = val # hoverinfo # --------- @property def hoverinfo(self): """ Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['name', 'x', 'y', 'text', 'percent initial', 'percent previous', 'percent total'] joined with '+' characters (e.g. 'name+x') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on Chart Studio Cloud for `align`. bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on Chart Studio Cloud for `bordercolor`. font Sets the font used in hover labels. namelength Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on Chart Studio Cloud for `namelength`. Returns ------- plotly.graph_objs.funnel.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val # hovertemplate # ------------- @property def hovertemplate(self): """ Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event-data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val # hovertemplatesrc # ---------------- @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val # hovertext # --------- @property def hovertext(self): """ Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val # hovertextsrc # ------------ @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val # ids # --- @property def ids(self): """ Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"] @ids.setter def ids(self, val): self["ids"] = val # idssrc # ------ @property def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val # insidetextanchor # ---------------- @property def insidetextanchor(self): """ Determines if texts are kept at center or start/end points in `textposition` "inside" mode. The 'insidetextanchor' property is an enumeration that may be specified as: - One of the following enumeration values: ['end', 'middle', 'start'] Returns ------- Any """ return self["insidetextanchor"] @insidetextanchor.setter def insidetextanchor(self, val): self["insidetextanchor"] = val # insidetextfont # -------------- @property def insidetextfont(self): """ Sets the font used for `text` lying inside the bar. The 'insidetextfont' property is an instance of Insidetextfont that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Insidetextfont` - A dict of string/value properties that will be passed to the Insidetextfont constructor Supported dict properties: color colorsrc Sets the source reference on Chart Studio Cloud for `color`. family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for `family`. size sizesrc Sets the source reference on Chart Studio Cloud for `size`. Returns ------- plotly.graph_objs.funnel.Insidetextfont """ return self["insidetextfont"] @insidetextfont.setter def insidetextfont(self, val): self["insidetextfont"] = val # legendgroup # ----------- @property def legendgroup(self): """ Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val # legendgrouptitle # ---------------- @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Supported dict properties: font Sets this legend group's title font. text Sets the title of the legend group. Returns ------- plotly.graph_objs.funnel.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val # legendrank # ---------- @property def legendrank(self): """ Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with `*reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val # marker # ------ @property def marker(self): """ The 'marker' property is an instance of Marker that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Marker` - A dict of string/value properties that will be passed to the Marker constructor Supported dict properties: autocolorscale Determines whether the colorscale is a default palette (`autocolorscale: true`) or the palette determined by `marker.colorscale`. Has an effect only if in `marker.color`is set to a numerical array. In case `colorscale` is unspecified or `autocolorscale` is true, the default palette will be chosen according to whether numbers in the `color` array are all positive, all negative or mixed. cauto Determines whether or not the color domain is computed with respect to the input data (here in `marker.color`) or the bounds set in `marker.cmin` and `marker.cmax` Has an effect only if in `marker.color`is set to a numerical array. Defaults to `false` when `marker.cmin` and `marker.cmax` are set by the user. cmax Sets the upper bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmin` must be set as well. cmid Sets the mid-point of the color domain by scaling `marker.cmin` and/or `marker.cmax` to be equidistant to this point. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color`. Has no effect when `marker.cauto` is `false`. cmin Sets the lower bound of the color domain. Has an effect only if in `marker.color`is set to a numerical array. Value should have the same units as in `marker.color` and if set, `marker.cmax` must be set as well. color Sets themarkercolor. It accepts either a specific color or an array of numbers that are mapped to the colorscale relative to the max and min values of the array or relative to `marker.cmin` and `marker.cmax` if set. coloraxis Sets a reference to a shared color axis. References to these shared color axes are "coloraxis", "coloraxis2", "coloraxis3", etc. Settings for these shared color axes are set in the layout, under `layout.coloraxis`, `layout.coloraxis2`, etc. Note that multiple color scales can be linked to the same color axis. colorbar :class:`plotly.graph_objects.funnel.marker.Colo rBar` instance or dict with compatible properties colorscale Sets the colorscale. Has an effect only if in `marker.color`is set to a numerical array. The colorscale must be an array containing arrays mapping a normalized value to an rgb, rgba, hex, hsl, hsv, or named color string. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the bounds of the colorscale in color space, use`marker.cmin` and `marker.cmax`. Alternatively, `colorscale` may be a palette name string of the following list: Blackbody,Bluered,Blues,Cividis,Earth,Electric, Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,Rd Bu,Reds,Viridis,YlGnBu,YlOrRd. colorsrc Sets the source reference on Chart Studio Cloud for `color`. line :class:`plotly.graph_objects.funnel.marker.Line ` instance or dict with compatible properties opacity Sets the opacity of the bars. opacitysrc Sets the source reference on Chart Studio Cloud for `opacity`. reversescale Reverses the color mapping if true. Has an effect only if in `marker.color`is set to a numerical array. If true, `marker.cmin` will correspond to the last color in the array and `marker.cmax` will correspond to the first color. showscale Determines whether or not a colorbar is displayed for this trace. Has an effect only if in `marker.color`is set to a numerical array. Returns ------- plotly.graph_objs.funnel.Marker """ return self["marker"] @marker.setter def marker(self, val): self["marker"] = val # meta # ---- @property def meta(self): """ Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val # metasrc # ------- @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appear as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val # offset # ------ @property def offset(self): """ Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. The 'offset' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["offset"] @offset.setter def offset(self, val): self["offset"] = val # offsetgroup # ----------- @property def offsetgroup(self): """ Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. The 'offsetgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["offsetgroup"] @offsetgroup.setter def offsetgroup(self, val): self["offsetgroup"] = val # opacity # ------- @property def opacity(self): """ Sets the opacity of the trace. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val # orientation # ----------- @property def orientation(self): """ Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed". The 'orientation' property is an enumeration that may be specified as: - One of the following enumeration values: ['v', 'h'] Returns ------- Any """ return self["orientation"] @orientation.setter def orientation(self, val): self["orientation"] = val # outsidetextfont # --------------- @property def outsidetextfont(self): """ Sets the font used for `text` lying outside the bar. The 'outsidetextfont' property is an instance of Outsidetextfont that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Outsidetextfont` - A dict of string/value properties that will be passed to the Outsidetextfont constructor Supported dict properties: color colorsrc Sets the source reference on Chart Studio Cloud for `color`. family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for `family`. size sizesrc Sets the source reference on Chart Studio Cloud for `size`. Returns ------- plotly.graph_objs.funnel.Outsidetextfont """ return self["outsidetextfont"] @outsidetextfont.setter def outsidetextfont(self, val): self["outsidetextfont"] = val # selectedpoints # -------------- @property def selectedpoints(self): """ Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. The 'selectedpoints' property accepts values of any type Returns ------- Any """ return self["selectedpoints"] @selectedpoints.setter def selectedpoints(self, val): self["selectedpoints"] = val # showlegend # ---------- @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Stream` - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://chart- studio.plotly.com/settings for more details. Returns ------- plotly.graph_objs.funnel.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = val # text # ---- @property def text(self): """ Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["text"] @text.setter def text(self, val): self["text"] = val # textangle # --------- @property def textangle(self): """ Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. The 'textangle' property is a angle (in degrees) that may be specified as a number between -180 and 180. Numeric values outside this range are converted to the equivalent value (e.g. 270 is converted to -90). Returns ------- int|float """ return self["textangle"] @textangle.setter def textangle(self, val): self["textangle"] = val # textfont # -------- @property def textfont(self): """ Sets the font used for `text`. The 'textfont' property is an instance of Textfont that may be specified as: - An instance of :class:`plotly.graph_objs.funnel.Textfont` - A dict of string/value properties that will be passed to the Textfont constructor Supported dict properties: color colorsrc Sets the source reference on Chart Studio Cloud for `color`. family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The Chart Studio Cloud (at https://chart-studio.plotly.com or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on Chart Studio Cloud for `family`. size sizesrc Sets the source reference on Chart Studio Cloud for `size`. Returns ------- plotly.graph_objs.funnel.Textfont """ return self["textfont"] @textfont.setter def textfont(self, val): self["textfont"] = val # textinfo # -------- @property def textinfo(self): """ Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace). The 'textinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['label', 'text', 'percent initial', 'percent previous', 'percent total', 'value'] joined with '+' characters (e.g. 'label+text') OR exactly one of ['none'] (e.g. 'none') Returns ------- Any """ return self["textinfo"] @textinfo.setter def textinfo(self, val): self["textinfo"] = val # textposition # ------------ @property def textposition(self): """ Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. The 'textposition' property is an enumeration that may be specified as: - One of the following enumeration values: ['inside', 'outside', 'auto', 'none'] - A tuple, list, or one-dimensional numpy array of the above Returns ------- Any|numpy.ndarray """ return self["textposition"] @textposition.setter def textposition(self, val): self["textposition"] = val # textpositionsrc # --------------- @property def textpositionsrc(self): """ Sets the source reference on Chart Studio Cloud for `textposition`. The 'textpositionsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textpositionsrc"] @textpositionsrc.setter def textpositionsrc(self, val): self["textpositionsrc"] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val # texttemplate # ------------ @property def texttemplate(self): """ Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per- point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`. The 'texttemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["texttemplate"] @texttemplate.setter def texttemplate(self, val): self["texttemplate"] = val # texttemplatesrc # --------------- @property def texttemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `texttemplate`. The 'texttemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["texttemplatesrc"] @texttemplatesrc.setter def texttemplatesrc(self, val): self["texttemplatesrc"] = val # uid # --- @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val # uirevision # ---------- @property def uirevision(self): """ Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val # visible # ------- @property def visible(self): """ Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val # width # ----- @property def width(self): """ Sets the bar width (in position axis units). The 'width' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["width"] @width.setter def width(self, val): self["width"] = val # x # - @property def x(self): """ Sets the x coordinates. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"] @x.setter def x(self, val): self["x"] = val # x0 # -- @property def x0(self): """ Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. The 'x0' property accepts values of any type Returns ------- Any """ return self["x0"] @x0.setter def x0(self, val): self["x0"] = val # xaxis # ----- @property def xaxis(self): """ Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. The 'xaxis' property is an identifier of a particular subplot, of type 'x', that may be specified as the string 'x' optionally followed by an integer >= 1 (e.g. 'x', 'x1', 'x2', 'x3', etc.) Returns ------- str """ return self["xaxis"] @xaxis.setter def xaxis(self, val): self["xaxis"] = val # xhoverformat # ------------ @property def xhoverformat(self): """ Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["xhoverformat"] @xhoverformat.setter def xhoverformat(self, val): self["xhoverformat"] = val # xperiod # ------- @property def xperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'xperiod' property accepts values of any type Returns ------- Any """ return self["xperiod"] @xperiod.setter def xperiod(self, val): self["xperiod"] = val # xperiod0 # -------- @property def xperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'xperiod0' property accepts values of any type Returns ------- Any """ return self["xperiod0"] @xperiod0.setter def xperiod0(self, val): self["xperiod0"] = val # xperiodalignment # ---------------- @property def xperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. The 'xperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["xperiodalignment"] @xperiodalignment.setter def xperiodalignment(self, val): self["xperiodalignment"] = val # xsrc # ---- @property def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val # y # - @property def y(self): """ Sets the y coordinates. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"] @y.setter def y(self, val): self["y"] = val # y0 # -- @property def y0(self): """ Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. The 'y0' property accepts values of any type Returns ------- Any """ return self["y0"] @y0.setter def y0(self, val): self["y0"] = val # yaxis # ----- @property def yaxis(self): """ Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. The 'yaxis' property is an identifier of a particular subplot, of type 'y', that may be specified as the string 'y' optionally followed by an integer >= 1 (e.g. 'y', 'y1', 'y2', 'y3', etc.) Returns ------- str """ return self["yaxis"] @yaxis.setter def yaxis(self, val): self["yaxis"] = val # yhoverformat # ------------ @property def yhoverformat(self): """ Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["yhoverformat"] @yhoverformat.setter def yhoverformat(self, val): self["yhoverformat"] = val # yperiod # ------- @property def yperiod(self): """ Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. The 'yperiod' property accepts values of any type Returns ------- Any """ return self["yperiod"] @yperiod.setter def yperiod(self, val): self["yperiod"] = val # yperiod0 # -------- @property def yperiod0(self): """ Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. The 'yperiod0' property accepts values of any type Returns ------- Any """ return self["yperiod0"] @yperiod0.setter def yperiod0(self, val): self["yperiod0"] = val # yperiodalignment # ---------------- @property def yperiodalignment(self): """ Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. The 'yperiodalignment' property is an enumeration that may be specified as: - One of the following enumeration values: ['start', 'middle', 'end'] Returns ------- Any """ return self["yperiodalignment"] @yperiodalignment.setter def yperiodalignment(self, val): self["yperiodalignment"] = val # ysrc # ---- @property def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val # type # ---- @property def type(self): return self._props["type"] # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connector :class:`plotly.graph_objects.funnel.Connector` instance or dict with compatible properties constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.funnel.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legendgroup Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.funnel.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with `*reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. marker :class:`plotly.graph_objects.funnel.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appear as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed". outsidetextfont Sets the font used for `text` lying outside the bar. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.funnel.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textinfo Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace). textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. """ def __init__( self, arg=None, alignmentgroup=None, cliponaxis=None, connector=None, constraintext=None, customdata=None, customdatasrc=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legendgroup=None, legendgrouptitle=None, legendrank=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetgroup=None, opacity=None, orientation=None, outsidetextfont=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, visible=None, width=None, x=None, x0=None, xaxis=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, **kwargs, ): """ Construct a new Funnel object Visualize stages in a process using length-encoded bars. This trace can be used to show data in either a part-to-whole representation wherein each item appears in a single stage, or in a "drop-off" representation wherein each item appears in each stage it traversed. See also the "funnelarea" trace type for a different approach to visualizing funnel data. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Funnel` alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connector :class:`plotly.graph_objects.funnel.Connector` instance or dict with compatible properties constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.funnel.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legendgroup Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.funnel.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with `*reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. marker :class:`plotly.graph_objects.funnel.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appear as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed". outsidetextfont Sets the font used for `text` lying outside the bar. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.funnel.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textinfo Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace). textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. Returns ------- Funnel """ super(Funnel, self).__init__("funnel") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Funnel constructor must be a dict or an instance of :class:`plotly.graph_objs.Funnel`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("alignmentgroup", None) _v = alignmentgroup if alignmentgroup is not None else _v if _v is not None: self["alignmentgroup"] = _v _v = arg.pop("cliponaxis", None) _v = cliponaxis if cliponaxis is not None else _v if _v is not None: self["cliponaxis"] = _v _v = arg.pop("connector", None) _v = connector if connector is not None else _v if _v is not None: self["connector"] = _v _v = arg.pop("constraintext", None) _v = constraintext if constraintext is not None else _v if _v is not None: self["constraintext"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("dx", None) _v = dx if dx is not None else _v if _v is not None: self["dx"] = _v _v = arg.pop("dy", None) _v = dy if dy is not None else _v if _v is not None: self["dy"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("insidetextanchor", None) _v = insidetextanchor if insidetextanchor is not None else _v if _v is not None: self["insidetextanchor"] = _v _v = arg.pop("insidetextfont", None) _v = insidetextfont if insidetextfont is not None else _v if _v is not None: self["insidetextfont"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("marker", None) _v = marker if marker is not None else _v if _v is not None: self["marker"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("offset", None) _v = offset if offset is not None else _v if _v is not None: self["offset"] = _v _v = arg.pop("offsetgroup", None) _v = offsetgroup if offsetgroup is not None else _v if _v is not None: self["offsetgroup"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("orientation", None) _v = orientation if orientation is not None else _v if _v is not None: self["orientation"] = _v _v = arg.pop("outsidetextfont", None) _v = outsidetextfont if outsidetextfont is not None else _v if _v is not None: self["outsidetextfont"] = _v _v = arg.pop("selectedpoints", None) _v = selectedpoints if selectedpoints is not None else _v if _v is not None: self["selectedpoints"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textangle", None) _v = textangle if textangle is not None else _v if _v is not None: self["textangle"] = _v _v = arg.pop("textfont", None) _v = textfont if textfont is not None else _v if _v is not None: self["textfont"] = _v _v = arg.pop("textinfo", None) _v = textinfo if textinfo is not None else _v if _v is not None: self["textinfo"] = _v _v = arg.pop("textposition", None) _v = textposition if textposition is not None else _v if _v is not None: self["textposition"] = _v _v = arg.pop("textpositionsrc", None) _v = textpositionsrc if textpositionsrc is not None else _v if _v is not None: self["textpositionsrc"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("texttemplate", None) _v = texttemplate if texttemplate is not None else _v if _v is not None: self["texttemplate"] = _v _v = arg.pop("texttemplatesrc", None) _v = texttemplatesrc if texttemplatesrc is not None else _v if _v is not None: self["texttemplatesrc"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("width", None) _v = width if width is not None else _v if _v is not None: self["width"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("x0", None) _v = x0 if x0 is not None else _v if _v is not None: self["x0"] = _v _v = arg.pop("xaxis", None) _v = xaxis if xaxis is not None else _v if _v is not None: self["xaxis"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xperiod", None) _v = xperiod if xperiod is not None else _v if _v is not None: self["xperiod"] = _v _v = arg.pop("xperiod0", None) _v = xperiod0 if xperiod0 is not None else _v if _v is not None: self["xperiod0"] = _v _v = arg.pop("xperiodalignment", None) _v = xperiodalignment if xperiodalignment is not None else _v if _v is not None: self["xperiodalignment"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("y0", None) _v = y0 if y0 is not None else _v if _v is not None: self["y0"] = _v _v = arg.pop("yaxis", None) _v = yaxis if yaxis is not None else _v if _v is not None: self["yaxis"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("yperiod", None) _v = yperiod if yperiod is not None else _v if _v is not None: self["yperiod"] = _v _v = arg.pop("yperiod0", None) _v = yperiod0 if yperiod0 is not None else _v if _v is not None: self["yperiod0"] = _v _v = arg.pop("yperiodalignment", None) _v = yperiodalignment if yperiodalignment is not None else _v if _v is not None: self["yperiodalignment"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v # Read-only literals # ------------------ self._props["type"] = "funnel" arg.pop("type", None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False

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from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Funnel(_BaseTraceType): _parent_path_str = "" _path_str = "funnel" _valid_props = { "alignmentgroup", "cliponaxis", "connector", "constraintext", "customdata", "customdatasrc", "dx", "dy", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "ids", "idssrc", "insidetextanchor", "insidetextfont", "legendgroup", "legendgrouptitle", "legendrank", "marker", "meta", "metasrc", "name", "offset", "offsetgroup", "opacity", "orientation", "outsidetextfont", "selectedpoints", "showlegend", "stream", "text", "textangle", "textfont", "textinfo", "textposition", "textpositionsrc", "textsrc", "texttemplate", "texttemplatesrc", "type", "uid", "uirevision", "visible", "width", "x", "x0", "xaxis", "xhoverformat", "xperiod", "xperiod0", "xperiodalignment", "xsrc", "y", "y0", "yaxis", "yhoverformat", "yperiod", "yperiod0", "yperiodalignment", "ysrc", } @property def alignmentgroup(self): return self["alignmentgroup"] @alignmentgroup.setter def alignmentgroup(self, val): self["alignmentgroup"] = val @property def cliponaxis(self): return self["cliponaxis"] @cliponaxis.setter def cliponaxis(self, val): self["cliponaxis"] = val @property def connector(self): return self["connector"] @connector.setter def connector(self, val): self["connector"] = val @property def constraintext(self): return self["constraintext"] @constraintext.setter def constraintext(self, val): self["constraintext"] = val @property def customdata(self): return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val @property def customdatasrc(self): return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val @property def dx(self): return self["dx"] @dx.setter def dx(self, val): self["dx"] = val @property def dy(self): return self["dy"] @dy.setter def dy(self, val): self["dy"] = val @property def hoverinfo(self): return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val @property def hoverinfosrc(self): return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val @property def hoverlabel(self): return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val @property def hovertemplate(self): return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val @property def hovertemplatesrc(self): return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val @property def hovertext(self): return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val @property def hovertextsrc(self): return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val @property def ids(self): return self["ids"] @ids.setter def ids(self, val): self["ids"] = val @property def idssrc(self): return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val @property def insidetextanchor(self): return self["insidetextanchor"] @insidetextanchor.setter def insidetextanchor(self, val): self["insidetextanchor"] = val @property def insidetextfont(self): return self["insidetextfont"] @insidetextfont.setter def insidetextfont(self, val): self["insidetextfont"] = val @property def legendgroup(self): return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val @property def legendgrouptitle(self): return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val @property def legendrank(self): return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val @property def marker(self): return self["marker"] @marker.setter def marker(self, val): self["marker"] = val @property def meta(self): return self["meta"] @meta.setter def meta(self, val): self["meta"] = val @property def metasrc(self): return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val @property def name(self): return self["name"] @name.setter def name(self, val): self["name"] = val @property def offset(self): return self["offset"] @offset.setter def offset(self, val): self["offset"] = val @property def offsetgroup(self): return self["offsetgroup"] @offsetgroup.setter def offsetgroup(self, val): self["offsetgroup"] = val @property def opacity(self): return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val @property def orientation(self): return self["orientation"] @orientation.setter def orientation(self, val): self["orientation"] = val @property def outsidetextfont(self): return self["outsidetextfont"] @outsidetextfont.setter def outsidetextfont(self, val): self["outsidetextfont"] = val @property def selectedpoints(self): return self["selectedpoints"] @selectedpoints.setter def selectedpoints(self, val): self["selectedpoints"] = val @property def showlegend(self): return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val @property def stream(self): return self["stream"] @stream.setter def stream(self, val): self["stream"] = val @property def text(self): return self["text"] @text.setter def text(self, val): self["text"] = val @property def textangle(self): return self["textangle"] @textangle.setter def textangle(self, val): self["textangle"] = val @property def textfont(self): return self["textfont"] @textfont.setter def textfont(self, val): self["textfont"] = val @property def textinfo(self): return self["textinfo"] @textinfo.setter def textinfo(self, val): self["textinfo"] = val @property def textposition(self): return self["textposition"] @textposition.setter def textposition(self, val): self["textposition"] = val @property def textpositionsrc(self): return self["textpositionsrc"] @textpositionsrc.setter def textpositionsrc(self, val): self["textpositionsrc"] = val @property def textsrc(self): return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val @property def texttemplate(self): return self["texttemplate"] @texttemplate.setter def texttemplate(self, val): self["texttemplate"] = val @property def texttemplatesrc(self): return self["texttemplatesrc"] @texttemplatesrc.setter def texttemplatesrc(self, val): self["texttemplatesrc"] = val @property def uid(self): return self["uid"] @uid.setter def uid(self, val): self["uid"] = val @property def uirevision(self): return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val @property def visible(self): return self["visible"] @visible.setter def visible(self, val): self["visible"] = val @property def width(self): return self["width"] @width.setter def width(self, val): self["width"] = val @property def x(self): return self["x"] @x.setter def x(self, val): self["x"] = val @property def x0(self): return self["x0"] @x0.setter def x0(self, val): self["x0"] = val @property def xaxis(self): return self["xaxis"] @xaxis.setter def xaxis(self, val): self["xaxis"] = val @property def xhoverformat(self): return self["xhoverformat"] @xhoverformat.setter def xhoverformat(self, val): self["xhoverformat"] = val @property def xperiod(self): return self["xperiod"] @xperiod.setter def xperiod(self, val): self["xperiod"] = val @property def xperiod0(self): return self["xperiod0"] @xperiod0.setter def xperiod0(self, val): self["xperiod0"] = val @property def xperiodalignment(self): return self["xperiodalignment"] @xperiodalignment.setter def xperiodalignment(self, val): self["xperiodalignment"] = val @property def xsrc(self): return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val @property def y(self): return self["y"] @y.setter def y(self, val): self["y"] = val @property def y0(self): return self["y0"] @y0.setter def y0(self, val): self["y0"] = val @property def yaxis(self): return self["yaxis"] @yaxis.setter def yaxis(self, val): self["yaxis"] = val @property def yhoverformat(self): return self["yhoverformat"] @yhoverformat.setter def yhoverformat(self, val): self["yhoverformat"] = val @property def yperiod(self): return self["yperiod"] @yperiod.setter def yperiod(self, val): self["yperiod"] = val @property def yperiod0(self): return self["yperiod0"] @yperiod0.setter def yperiod0(self, val): self["yperiod0"] = val @property def yperiodalignment(self): return self["yperiodalignment"] @yperiodalignment.setter def yperiodalignment(self, val): self["yperiodalignment"] = val @property def ysrc(self): return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val @property def type(self): return self._props["type"] @property def _prop_descriptions(self): return """\ alignmentgroup Set several traces linked to the same position axis or matching axes to the same alignmentgroup. This controls whether bars compute their positional range dependently or independently. cliponaxis Determines whether the text nodes are clipped about the subplot axes. To show the text nodes above axis lines and tick labels, make sure to set `xaxis.layer` and `yaxis.layer` to *below traces*. connector :class:`plotly.graph_objects.funnel.Connector` instance or dict with compatible properties constraintext Constrain the size of text inside or outside a bar to be no larger than the bar itself. customdata Assigns extra data each datum. This may be useful when listening to hover, click and selection events. Note that, "scatter" traces also appends customdata items in the markers DOM elements customdatasrc Sets the source reference on Chart Studio Cloud for `customdata`. dx Sets the x coordinate step. See `x0` for more info. dy Sets the y coordinate step. See `y0` for more info. hoverinfo Determines which trace information appear on hover. If `none` or `skip` are set, no information is displayed upon hovering. But, if `none` is set, click and hover events are still fired. hoverinfosrc Sets the source reference on Chart Studio Cloud for `hoverinfo`. hoverlabel :class:`plotly.graph_objects.funnel.Hoverlabel` instance or dict with compatible properties hovertemplate Template string used for rendering the information that appear on hover box. Note that this will override `hoverinfo`. Variables are inserted using %{variable}, for example "y: %{y}" as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, "xother" will be added to those with different x positions from the first point. An underscore before or after "(x|y)other" will add a space on that side, only when this field is shown. Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. The variables available in `hovertemplate` are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious` and `percentTotal`. Anything contained in tag `<extra>` is displayed in the secondary box, for example "<extra>{fullData.name}</extra>". To hide the secondary box completely, use an empty tag `<extra></extra>`. hovertemplatesrc Sets the source reference on Chart Studio Cloud for `hovertemplate`. hovertext Sets hover text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. To be seen, trace `hoverinfo` must contain a "text" flag. hovertextsrc Sets the source reference on Chart Studio Cloud for `hovertext`. ids Assigns id labels to each datum. These ids for object constancy of data points during animation. Should be an array of strings, not numbers or any other type. idssrc Sets the source reference on Chart Studio Cloud for `ids`. insidetextanchor Determines if texts are kept at center or start/end points in `textposition` "inside" mode. insidetextfont Sets the font used for `text` lying inside the bar. legendgroup Sets the legend group for this trace. Traces part of the same legend group hide/show at the same time when toggling legend items. legendgrouptitle :class:`plotly.graph_objects.funnel.Legendgrouptitle` instance or dict with compatible properties legendrank Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with `*reversed* `legend.traceorder` they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. marker :class:`plotly.graph_objects.funnel.Marker` instance or dict with compatible properties meta Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace `name`, graph, axis and colorbar `title.text`, annotation `text` `rangeselector`, `updatemenues` and `sliders` `label` text all support `meta`. To access the trace `meta` values in an attribute in the same trace, simply use `%{meta[i]}` where `i` is the index or key of the `meta` item in question. To access trace `meta` in layout attributes, use `%{data[n[.meta[i]}` where `i` is the index or key of the `meta` and `n` is the trace index. metasrc Sets the source reference on Chart Studio Cloud for `meta`. name Sets the trace name. The trace name appear as the legend item and on hover. offset Shifts the position where the bar is drawn (in position axis units). In "group" barmode, traces that set "offset" will be excluded and drawn in "overlay" mode instead. offsetgroup Set several traces linked to the same position axis or matching axes to the same offsetgroup where bars of the same position coordinate will line up. opacity Sets the opacity of the trace. orientation Sets the orientation of the funnels. With "v" ("h"), the value of the each bar spans along the vertical (horizontal). By default funnels are tend to be oriented horizontally; unless only "y" array is presented or orientation is set to "v". Also regarding graphs including only 'horizontal' funnels, "autorange" on the "y-axis" are set to "reversed". outsidetextfont Sets the font used for `text` lying outside the bar. selectedpoints Array containing integer indices of selected points. Has an effect only for traces that support selections. Note that an empty array means an empty selection where the `unselected` are turned on for all points, whereas, any other non-array values means no selection all where the `selected` and `unselected` styles have no effect. showlegend Determines whether or not an item corresponding to this trace is shown in the legend. stream :class:`plotly.graph_objects.funnel.Stream` instance or dict with compatible properties text Sets text elements associated with each (x,y) pair. If a single string, the same string appears over all the data points. If an array of string, the items are mapped in order to the this trace's (x,y) coordinates. If trace `hoverinfo` contains a "text" flag and "hovertext" is not set, these elements will be seen in the hover labels. textangle Sets the angle of the tick labels with respect to the bar. For example, a `tickangle` of -90 draws the tick labels vertically. With "auto" the texts may automatically be rotated to fit with the maximum size in bars. textfont Sets the font used for `text`. textinfo Determines which trace information appear on the graph. In the case of having multiple funnels, percentages & totals are computed separately (per trace). textposition Specifies the location of the `text`. "inside" positions `text` inside, next to the bar end (rotated and scaled if needed). "outside" positions `text` outside, next to the bar end (scaled if needed), unless there is another bar stacked on this one, then the text gets pushed inside. "auto" tries to position `text` inside the bar, but if the bar is too small and no bar is stacked on this one the text is moved outside. If "none", no text appears. textpositionsrc Sets the source reference on Chart Studio Cloud for `textposition`. textsrc Sets the source reference on Chart Studio Cloud for `text`. texttemplate Template string used for rendering the information text that appear on points. Note that this will override `textinfo`. Variables are inserted using %{variable}, for example "y: %{y}". Numbers are formatted using d3-format's syntax %{variable:d3-format}, for example "Price: %{y:$.2f}". https://github.com/d3/d3-format/tree/v1.4.5#d3-format for details on the formatting syntax. Dates are formatted using d3-time-format's syntax %{variable|d3-time-format}, for example "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format for details on the date formatting syntax. Every attributes that can be specified per-point (the ones that are `arrayOk: true`) are available. variables `percentInitial`, `percentPrevious`, `percentTotal`, `label` and `value`. texttemplatesrc Sets the source reference on Chart Studio Cloud for `texttemplate`. uid Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. uirevision Controls persistence of some user-driven changes to the trace: `constraintrange` in `parcoords` traces, as well as some `editable: true` modifications such as `name` and `colorbar.title`. Defaults to `layout.uirevision`. Note that other user-driven trace attribute changes are controlled by `layout` attributes: `trace.visible` is controlled by `layout.legend.uirevision`, `selectedpoints` is controlled by `layout.selectionrevision`, and `colorbar.(x|y)` (accessible with `config: {editable: true}`) is controlled by `layout.editrevision`. Trace changes are tracked by `uid`, which only falls back on trace index if no `uid` is provided. So if your app can add/remove traces before the end of the `data` array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a `uid` that stays with it as it moves. visible Determines whether or not this trace is visible. If "legendonly", the trace is not drawn, but can appear as a legend item (provided that the legend itself is visible). width Sets the bar width (in position axis units). x Sets the x coordinates. x0 Alternate to `x`. Builds a linear space of x coordinates. Use with `dx` where `x0` is the starting coordinate and `dx` the step. xaxis Sets a reference between this trace's x coordinates and a 2D cartesian x axis. If "x" (the default value), the x coordinates refer to `layout.xaxis`. If "x2", the x coordinates refer to `layout.xaxis2`, and so on. xhoverformat Sets the hover text formatting rulefor `x` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `xaxis.hoverformat`. xperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the x axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. xperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the x0 axis. When `x0period` is round number of weeks, the `x0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. xperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the x axis. xsrc Sets the source reference on Chart Studio Cloud for `x`. y Sets the y coordinates. y0 Alternate to `y`. Builds a linear space of y coordinates. Use with `dy` where `y0` is the starting coordinate and `dy` the step. yaxis Sets a reference between this trace's y coordinates and a 2D cartesian y axis. If "y" (the default value), the y coordinates refer to `layout.yaxis`. If "y2", the y coordinates refer to `layout.yaxis2`, and so on. yhoverformat Sets the hover text formatting rulefor `y` using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3's date formatter: "%h" for half of the year as a decimal number as well as "%{n}f" for fractional seconds with n digits. For example, *2016-10-13 09:15:23.456* with tickformat "%H~%M~%S.%2f" would display *09~15~23.46*By default the values are formatted using `yaxis.hoverformat`. yperiod Only relevant when the axis `type` is "date". Sets the period positioning in milliseconds or "M<n>" on the y axis. Special values in the form of "M<n>" could be used to declare the number of months. In this case `n` must be a positive integer. yperiod0 Only relevant when the axis `type` is "date". Sets the base for period positioning in milliseconds or date string on the y0 axis. When `y0period` is round number of weeks, the `y0period0` by default would be on a Sunday i.e. 2000-01-02, otherwise it would be at 2000-01-01. yperiodalignment Only relevant when the axis `type` is "date". Sets the alignment of data points on the y axis. ysrc Sets the source reference on Chart Studio Cloud for `y`. """ def __init__( self, arg=None, alignmentgroup=None, cliponaxis=None, connector=None, constraintext=None, customdata=None, customdatasrc=None, dx=None, dy=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, ids=None, idssrc=None, insidetextanchor=None, insidetextfont=None, legendgroup=None, legendgrouptitle=None, legendrank=None, marker=None, meta=None, metasrc=None, name=None, offset=None, offsetgroup=None, opacity=None, orientation=None, outsidetextfont=None, selectedpoints=None, showlegend=None, stream=None, text=None, textangle=None, textfont=None, textinfo=None, textposition=None, textpositionsrc=None, textsrc=None, texttemplate=None, texttemplatesrc=None, uid=None, uirevision=None, visible=None, width=None, x=None, x0=None, xaxis=None, xhoverformat=None, xperiod=None, xperiod0=None, xperiodalignment=None, xsrc=None, y=None, y0=None, yaxis=None, yhoverformat=None, yperiod=None, yperiod0=None, yperiodalignment=None, ysrc=None, **kwargs, ): super(Funnel, self).__init__("funnel") if "_parent" in kwargs: self._parent = kwargs["_parent"] return if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Funnel constructor must be a dict or an instance of :class:`plotly.graph_objs.Funnel`""" ) self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) _v = arg.pop("alignmentgroup", None) _v = alignmentgroup if alignmentgroup is not None else _v if _v is not None: self["alignmentgroup"] = _v _v = arg.pop("cliponaxis", None) _v = cliponaxis if cliponaxis is not None else _v if _v is not None: self["cliponaxis"] = _v _v = arg.pop("connector", None) _v = connector if connector is not None else _v if _v is not None: self["connector"] = _v _v = arg.pop("constraintext", None) _v = constraintext if constraintext is not None else _v if _v is not None: self["constraintext"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("dx", None) _v = dx if dx is not None else _v if _v is not None: self["dx"] = _v _v = arg.pop("dy", None) _v = dy if dy is not None else _v if _v is not None: self["dy"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("insidetextanchor", None) _v = insidetextanchor if insidetextanchor is not None else _v if _v is not None: self["insidetextanchor"] = _v _v = arg.pop("insidetextfont", None) _v = insidetextfont if insidetextfont is not None else _v if _v is not None: self["insidetextfont"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("marker", None) _v = marker if marker is not None else _v if _v is not None: self["marker"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("offset", None) _v = offset if offset is not None else _v if _v is not None: self["offset"] = _v _v = arg.pop("offsetgroup", None) _v = offsetgroup if offsetgroup is not None else _v if _v is not None: self["offsetgroup"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("orientation", None) _v = orientation if orientation is not None else _v if _v is not None: self["orientation"] = _v _v = arg.pop("outsidetextfont", None) _v = outsidetextfont if outsidetextfont is not None else _v if _v is not None: self["outsidetextfont"] = _v _v = arg.pop("selectedpoints", None) _v = selectedpoints if selectedpoints is not None else _v if _v is not None: self["selectedpoints"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textangle", None) _v = textangle if textangle is not None else _v if _v is not None: self["textangle"] = _v _v = arg.pop("textfont", None) _v = textfont if textfont is not None else _v if _v is not None: self["textfont"] = _v _v = arg.pop("textinfo", None) _v = textinfo if textinfo is not None else _v if _v is not None: self["textinfo"] = _v _v = arg.pop("textposition", None) _v = textposition if textposition is not None else _v if _v is not None: self["textposition"] = _v _v = arg.pop("textpositionsrc", None) _v = textpositionsrc if textpositionsrc is not None else _v if _v is not None: self["textpositionsrc"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("texttemplate", None) _v = texttemplate if texttemplate is not None else _v if _v is not None: self["texttemplate"] = _v _v = arg.pop("texttemplatesrc", None) _v = texttemplatesrc if texttemplatesrc is not None else _v if _v is not None: self["texttemplatesrc"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("width", None) _v = width if width is not None else _v if _v is not None: self["width"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("x0", None) _v = x0 if x0 is not None else _v if _v is not None: self["x0"] = _v _v = arg.pop("xaxis", None) _v = xaxis if xaxis is not None else _v if _v is not None: self["xaxis"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xperiod", None) _v = xperiod if xperiod is not None else _v if _v is not None: self["xperiod"] = _v _v = arg.pop("xperiod0", None) _v = xperiod0 if xperiod0 is not None else _v if _v is not None: self["xperiod0"] = _v _v = arg.pop("xperiodalignment", None) _v = xperiodalignment if xperiodalignment is not None else _v if _v is not None: self["xperiodalignment"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("y0", None) _v = y0 if y0 is not None else _v if _v is not None: self["y0"] = _v _v = arg.pop("yaxis", None) _v = yaxis if yaxis is not None else _v if _v is not None: self["yaxis"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("yperiod", None) _v = yperiod if yperiod is not None else _v if _v is not None: self["yperiod"] = _v _v = arg.pop("yperiod0", None) _v = yperiod0 if yperiod0 is not None else _v if _v is not None: self["yperiod0"] = _v _v = arg.pop("yperiodalignment", None) _v = yperiodalignment if yperiodalignment is not None else _v if _v is not None: self["yperiodalignment"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v self._props["type"] = "funnel" arg.pop("type", None) self._process_kwargs(**dict(arg, **kwargs)) self._skip_invalid = False

true

f73d40bb82c0208472099724a0f1c8fc32ee555e

259

py

Python

invenio_users_resources/records/mappings/v6/__init__.py

max-moser/invenio-users-resources

fcba667d4fcbf5df9cd0dcbd8118c041a1add6e7

[ "MIT" ]

null

invenio_users_resources/records/mappings/v6/__init__.py

max-moser/invenio-users-resources

fcba667d4fcbf5df9cd0dcbd8118c041a1add6e7

[ "MIT" ]

7

2022-01-27T09:39:58.000Z

2022-03-29T11:33:52.000Z

invenio_users_resources/records/mappings/v6/__init__.py

max-moser/invenio-users-resources

fcba667d4fcbf5df9cd0dcbd8118c041a1add6e7

[ "MIT" ]

4

2022-01-27T10:42:57.000Z

2022-02-16T11:53:16.000Z

# -*- coding: utf-8 -*- # # Copyright (C) 2022 TU Wien. # # Invenio-Users-Resources is free software; you can redistribute it and/or # modify it under the terms of the MIT License; see LICENSE file for more # details. """Elasticsearch version 6 mappings."""

25.9

74

0.706564

true

f73d413ddc2041b0e4a587441969c56b3d8ee08c

633

py

Python

arvinddhindsa/manage.py

Dhindsa91/Django-blog

072dfecdc13839370aca9fc5a062eb8f9eea17b5

[ "bzip2-1.0.6" ]

null

arvinddhindsa/manage.py

Dhindsa91/Django-blog

072dfecdc13839370aca9fc5a062eb8f9eea17b5

[ "bzip2-1.0.6" ]

null

arvinddhindsa/manage.py

Dhindsa91/Django-blog

072dfecdc13839370aca9fc5a062eb8f9eea17b5

[ "bzip2-1.0.6" ]

null

#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'arvinddhindsa.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

28.772727

77

0.685624

import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'arvinddhindsa.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

true

f73d4212a3c0e401c47f044073a77f35f5bcc306

1,484

py

Python

robo/maximizers/differential_evolution.py

lebrice/RoBO

0cb58a1622d3a540f7714b239f0cedf048b6fd9f

[ "BSD-3-Clause" ]

455

2015-04-02T06:12:13.000Z

2022-02-28T10:54:29.000Z

robo/maximizers/differential_evolution.py

lebrice/RoBO

0cb58a1622d3a540f7714b239f0cedf048b6fd9f

[ "BSD-3-Clause" ]

66

2015-04-07T15:20:55.000Z

2021-06-04T16:40:46.000Z

robo/maximizers/differential_evolution.py

lebrice/RoBO

0cb58a1622d3a540f7714b239f0cedf048b6fd9f

[ "BSD-3-Clause" ]

188

2015-04-14T09:42:34.000Z

2022-03-31T21:04:53.000Z

import sys import numpy as np import scipy as sp from robo.maximizers.base_maximizer import BaseMaximizer class DifferentialEvolution(BaseMaximizer): def __init__(self, objective_function, lower, upper, n_iters=20, rng=None): """ Parameters ---------- objective_function: acquisition function The acquisition function which will be maximized lower: np.ndarray (D) Lower bounds of the input space upper: np.ndarray (D) Upper bounds of the input space n_iters: int Number of iterations """ self.n_iters = n_iters super(DifferentialEvolution, self).__init__(objective_function, lower, upper, rng) def _acquisition_fkt_wrapper(self, acq_f): def _l(x): a = -acq_f(np.array([np.clip(x, self.lower, self.upper)])) if np.any(np.isinf(a)): return sys.float_info.max return a return _l def maximize(self): """ Maximizes the given acquisition function. Returns ------- np.ndarray(N,D) Point with highest acquisition value. """ bounds = list(zip(self.lower, self.upper)) res = sp.optimize.differential_evolution(self._acquisition_fkt_wrapper(self.objective_func), bounds, maxiter=self.n_iters) return np.clip(res["x"], self.lower, self.upper)

28.538462

100

0.59097

import sys import numpy as np import scipy as sp from robo.maximizers.base_maximizer import BaseMaximizer class DifferentialEvolution(BaseMaximizer): def __init__(self, objective_function, lower, upper, n_iters=20, rng=None): self.n_iters = n_iters super(DifferentialEvolution, self).__init__(objective_function, lower, upper, rng) def _acquisition_fkt_wrapper(self, acq_f): def _l(x): a = -acq_f(np.array([np.clip(x, self.lower, self.upper)])) if np.any(np.isinf(a)): return sys.float_info.max return a return _l def maximize(self): bounds = list(zip(self.lower, self.upper)) res = sp.optimize.differential_evolution(self._acquisition_fkt_wrapper(self.objective_func), bounds, maxiter=self.n_iters) return np.clip(res["x"], self.lower, self.upper)

true

f73d42c3790ee20048eca8b989b817adefc2d236

622

py

Python

debug.py

yemaozi88/Intelligibility-MetricGAN

7aa080aa78f85ada2d85dd5415c3c593fe207891

[ "BSD-3-Clause" ]

41

2020-04-03T04:37:21.000Z

2022-02-11T13:46:47.000Z

debug.py

calculusoflambdas/Intelligibility-MetricGAN

883aa9b022af29a517fb50e860933942367ccf07

[ "BSD-3-Clause" ]

4

2020-04-06T07:19:56.000Z

2021-02-04T09:46:11.000Z

debug.py

calculusoflambdas/Intelligibility-MetricGAN

883aa9b022af29a517fb50e860933942367ccf07

[ "BSD-3-Clause" ]

12

2020-04-03T15:09:46.000Z

2021-09-02T10:51:01.000Z

from audio_util import * from dataloader import * noise_path = '/home/smg/haoyuli/SiibGAN/database/Train/Noise/' clean_path = '/home/smg/haoyuli/SiibGAN/database/Train/Clean/' gen_file_list = get_filepaths('/home/smg/haoyuli/SiibGAN/database/Train/Clean/') genloader = create_dataloader(gen_file_list,noise_path) x = iter(genloader) bandClean,bandNoise,clean_mag,clean_phase,noise_mag,noise_phase, target = x.next() enh_file_list = ['0.2228,/home/smg/haoyuli/SiibGAN/database/Train/Enhance/Train_32.wav'] disloader = create_dataloader(enh_file_list,noise_path,clean_path,'D') x = iter(disloader) a,b,c = x.next()

29.619048

88

0.782958

from audio_util import * from dataloader import * noise_path = '/home/smg/haoyuli/SiibGAN/database/Train/Noise/' clean_path = '/home/smg/haoyuli/SiibGAN/database/Train/Clean/' gen_file_list = get_filepaths('/home/smg/haoyuli/SiibGAN/database/Train/Clean/') genloader = create_dataloader(gen_file_list,noise_path) x = iter(genloader) bandClean,bandNoise,clean_mag,clean_phase,noise_mag,noise_phase, target = x.next() enh_file_list = ['0.2228,/home/smg/haoyuli/SiibGAN/database/Train/Enhance/Train_32.wav'] disloader = create_dataloader(enh_file_list,noise_path,clean_path,'D') x = iter(disloader) a,b,c = x.next()

true

f73d43091f3eaf436c6022660f2def62abd16e3e

48,352

py

Python

pyqtgraph/multiprocess/remoteproxy.py

pbmanis/pyqtgraph

3558216be2b50d6b0069c82e51e5a048dad34c73

[ "MIT" ]

150

2018-03-27T16:45:37.000Z

2022-03-30T03:47:56.000Z

pyqtgraph/multiprocess/remoteproxy.py

Jhongesell/pyqtgraph

229f650adfd04053213fe6567d6308a4751a349b

[ "MIT" ]

34

2018-09-28T00:01:59.000Z

2022-03-21T15:40:02.000Z

pyqtgraph/multiprocess/remoteproxy.py

Jhongesell/pyqtgraph

229f650adfd04053213fe6567d6308a4751a349b

[ "MIT" ]

40

2018-04-06T19:42:21.000Z

2022-01-11T00:34:17.000Z

import os, time, sys, traceback, weakref import numpy as np import threading try: import __builtin__ as builtins import cPickle as pickle except ImportError: import builtins import pickle # color printing for debugging from ..util import cprint class ClosedError(Exception): """Raised when an event handler receives a request to close the connection or discovers that the connection has been closed.""" pass class NoResultError(Exception): """Raised when a request for the return value of a remote call fails because the call has not yet returned.""" pass class RemoteEventHandler(object): """ This class handles communication between two processes. One instance is present on each process and listens for communication from the other process. This enables (amongst other things) ObjectProxy instances to look up their attributes and call their methods. This class is responsible for carrying out actions on behalf of the remote process. Each instance holds one end of a Connection which allows python objects to be passed between processes. For the most common operations, see _import(), close(), and transfer() To handle and respond to incoming requests, RemoteEventHandler requires that its processRequests method is called repeatedly (this is usually handled by the Process classes defined in multiprocess.processes). """ handlers = {} ## maps {process ID : handler}. This allows unpickler to determine which process ## an object proxy belongs to def __init__(self, connection, name, pid, debug=False): self.debug = debug self.conn = connection self.name = name self.results = {} ## reqId: (status, result); cache of request results received from the remote process ## status is either 'result' or 'error' ## if 'error', then result will be (exception, formatted exceprion) ## where exception may be None if it could not be passed through the Connection. self.resultLock = threading.RLock() self.proxies = {} ## maps {weakref(proxy): proxyId}; used to inform the remote process when a proxy has been deleted. self.proxyLock = threading.RLock() ## attributes that affect the behavior of the proxy. ## See ObjectProxy._setProxyOptions for description self.proxyOptions = { 'callSync': 'sync', ## 'sync', 'async', 'off' 'timeout': 10, ## float 'returnType': 'auto', ## 'proxy', 'value', 'auto' 'autoProxy': False, ## bool 'deferGetattr': False, ## True, False 'noProxyTypes': [ type(None), str, int, float, tuple, list, dict, LocalObjectProxy, ObjectProxy ], } if int(sys.version[0]) < 3: self.proxyOptions['noProxyTypes'].append(unicode) else: self.proxyOptions['noProxyTypes'].append(bytes) self.optsLock = threading.RLock() self.nextRequestId = 0 self.exited = False # Mutexes to help prevent issues when multiple threads access the same RemoteEventHandler self.processLock = threading.RLock() self.sendLock = threading.RLock() RemoteEventHandler.handlers[pid] = self ## register this handler as the one communicating with pid @classmethod def getHandler(cls, pid): try: return cls.handlers[pid] except: print(pid, cls.handlers) raise def debugMsg(self, msg, *args): if not self.debug: return cprint.cout(self.debug, "[%d] %s\n" % (os.getpid(), str(msg)%args), -1) def getProxyOption(self, opt): with self.optsLock: return self.proxyOptions[opt] def setProxyOptions(self, **kwds): """ Set the default behavior options for object proxies. See ObjectProxy._setProxyOptions for more info. """ with self.optsLock: self.proxyOptions.update(kwds) def processRequests(self): """Process all pending requests from the pipe, return after no more events are immediately available. (non-blocking) Returns the number of events processed. """ with self.processLock: if self.exited: self.debugMsg(' processRequests: exited already; raise ClosedError.') raise ClosedError() numProcessed = 0 while self.conn.poll(): #try: #poll = self.conn.poll() #if not poll: #break #except IOError: # this can happen if the remote process dies. ## might it also happen in other circumstances? #raise ClosedError() try: self.handleRequest() numProcessed += 1 except ClosedError: self.debugMsg('processRequests: got ClosedError from handleRequest; setting exited=True.') self.exited = True raise #except IOError as err: ## let handleRequest take care of this. #self.debugMsg(' got IOError from handleRequest; try again.') #if err.errno == 4: ## interrupted system call; try again #continue #else: #raise except: print("Error in process %s" % self.name) sys.excepthook(*sys.exc_info()) if numProcessed > 0: self.debugMsg('processRequests: finished %d requests', numProcessed) return numProcessed def handleRequest(self): """Handle a single request from the remote process. Blocks until a request is available.""" result = None while True: try: ## args, kwds are double-pickled to ensure this recv() call never fails cmd, reqId, nByteMsgs, optStr = self.conn.recv() break except EOFError: self.debugMsg(' handleRequest: got EOFError from recv; raise ClosedError.') ## remote process has shut down; end event loop raise ClosedError() except IOError as err: if err.errno == 4: ## interrupted system call; try again self.debugMsg(' handleRequest: got IOError 4 from recv; try again.') continue else: self.debugMsg(' handleRequest: got IOError %d from recv (%s); raise ClosedError.', err.errno, err.strerror) raise ClosedError() self.debugMsg(" handleRequest: received %s %s", cmd, reqId) ## read byte messages following the main request byteData = [] if nByteMsgs > 0: self.debugMsg(" handleRequest: reading %d byte messages", nByteMsgs) for i in range(nByteMsgs): while True: try: byteData.append(self.conn.recv_bytes()) break except EOFError: self.debugMsg(" handleRequest: got EOF while reading byte messages; raise ClosedError.") raise ClosedError() except IOError as err: if err.errno == 4: self.debugMsg(" handleRequest: got IOError 4 while reading byte messages; try again.") continue else: self.debugMsg(" handleRequest: got IOError while reading byte messages; raise ClosedError.") raise ClosedError() try: if cmd == 'result' or cmd == 'error': resultId = reqId reqId = None ## prevents attempt to return information from this request ## (this is already a return from a previous request) opts = pickle.loads(optStr) self.debugMsg(" handleRequest: id=%s opts=%s", reqId, opts) #print os.getpid(), "received request:", cmd, reqId, opts returnType = opts.get('returnType', 'auto') if cmd == 'result': with self.resultLock: self.results[resultId] = ('result', opts['result']) elif cmd == 'error': with self.resultLock: self.results[resultId] = ('error', (opts['exception'], opts['excString'])) elif cmd == 'getObjAttr': result = getattr(opts['obj'], opts['attr']) elif cmd == 'callObj': obj = opts['obj'] fnargs = opts['args'] fnkwds = opts['kwds'] ## If arrays were sent as byte messages, they must be re-inserted into the ## arguments if len(byteData) > 0: for i,arg in enumerate(fnargs): if isinstance(arg, tuple) and len(arg) > 0 and arg[0] == '__byte_message__': ind = arg[1] dtype, shape = arg[2] fnargs[i] = np.fromstring(byteData[ind], dtype=dtype).reshape(shape) for k,arg in fnkwds.items(): if isinstance(arg, tuple) and len(arg) > 0 and arg[0] == '__byte_message__': ind = arg[1] dtype, shape = arg[2] fnkwds[k] = np.fromstring(byteData[ind], dtype=dtype).reshape(shape) if len(fnkwds) == 0: ## need to do this because some functions do not allow keyword arguments. try: result = obj(*fnargs) except: print("Failed to call object %s: %d, %s" % (obj, len(fnargs), fnargs[1:])) raise else: result = obj(*fnargs, **fnkwds) elif cmd == 'getObjValue': result = opts['obj'] ## has already been unpickled into its local value returnType = 'value' elif cmd == 'transfer': result = opts['obj'] returnType = 'proxy' elif cmd == 'transferArray': ## read array data from next message: result = np.fromstring(byteData[0], dtype=opts['dtype']).reshape(opts['shape']) returnType = 'proxy' elif cmd == 'import': name = opts['module'] fromlist = opts.get('fromlist', []) mod = builtins.__import__(name, fromlist=fromlist) if len(fromlist) == 0: parts = name.lstrip('.').split('.') result = mod for part in parts[1:]: result = getattr(result, part) else: result = map(mod.__getattr__, fromlist) elif cmd == 'del': LocalObjectProxy.releaseProxyId(opts['proxyId']) #del self.proxiedObjects[opts['objId']] elif cmd == 'close': if reqId is not None: result = True returnType = 'value' exc = None except: exc = sys.exc_info() if reqId is not None: if exc is None: self.debugMsg(" handleRequest: sending return value for %d: %s", reqId, result) #print "returnValue:", returnValue, result if returnType == 'auto': with self.optsLock: noProxyTypes = self.proxyOptions['noProxyTypes'] result = self.autoProxy(result, noProxyTypes) elif returnType == 'proxy': result = LocalObjectProxy(result) try: self.replyResult(reqId, result) except: sys.excepthook(*sys.exc_info()) self.replyError(reqId, *sys.exc_info()) else: self.debugMsg(" handleRequest: returning exception for %d", reqId) self.replyError(reqId, *exc) elif exc is not None: sys.excepthook(*exc) if cmd == 'close': if opts.get('noCleanup', False) is True: os._exit(0) ## exit immediately, do not pass GO, do not collect $200. ## (more importantly, do not call any code that would ## normally be invoked at exit) else: raise ClosedError() def replyResult(self, reqId, result): self.send(request='result', reqId=reqId, callSync='off', opts=dict(result=result)) def replyError(self, reqId, *exc): print("error: %s %s %s" % (self.name, str(reqId), str(exc[1]))) excStr = traceback.format_exception(*exc) try: self.send(request='error', reqId=reqId, callSync='off', opts=dict(exception=exc[1], excString=excStr)) except: self.send(request='error', reqId=reqId, callSync='off', opts=dict(exception=None, excString=excStr)) def send(self, request, opts=None, reqId=None, callSync='sync', timeout=10, returnType=None, byteData=None, **kwds): """Send a request or return packet to the remote process. Generally it is not necessary to call this method directly; it is for internal use. (The docstring has information that is nevertheless useful to the programmer as it describes the internal protocol used to communicate between processes) ============== ==================================================================== **Arguments:** request String describing the type of request being sent (see below) reqId Integer uniquely linking a result back to the request that generated it. (most requests leave this blank) callSync 'sync': return the actual result of the request 'async': return a Request object which can be used to look up the result later 'off': return no result timeout Time in seconds to wait for a response when callSync=='sync' opts Extra arguments sent to the remote process that determine the way the request will be handled (see below) returnType 'proxy', 'value', or 'auto' byteData If specified, this is a list of objects to be sent as byte messages to the remote process. This is used to send large arrays without the cost of pickling. ============== ==================================================================== Description of request strings and options allowed for each: ============= ============= ======================================================== request option description ------------- ------------- -------------------------------------------------------- getObjAttr Request the remote process return (proxy to) an attribute of an object. obj reference to object whose attribute should be returned attr string name of attribute to return returnValue bool or 'auto' indicating whether to return a proxy or the actual value. callObj Request the remote process call a function or method. If a request ID is given, then the call's return value will be sent back (or information about the error that occurred while running the function) obj the (reference to) object to call args tuple of arguments to pass to callable kwds dict of keyword arguments to pass to callable returnValue bool or 'auto' indicating whether to return a proxy or the actual value. getObjValue Request the remote process return the value of a proxied object (must be picklable) obj reference to object whose value should be returned transfer Copy an object to the remote process and request it return a proxy for the new object. obj The object to transfer. import Request the remote process import new symbols and return proxy(ies) to the imported objects module the string name of the module to import fromlist optional list of string names to import from module del Inform the remote process that a proxy has been released (thus the remote process may be able to release the original object) proxyId id of proxy which is no longer referenced by remote host close Instruct the remote process to stop its event loop and exit. Optionally, this request may return a confirmation. result Inform the remote process that its request has been processed result return value of a request error Inform the remote process that its request failed exception the Exception that was raised (or None if the exception could not be pickled) excString string-formatted version of the exception and traceback ============= ===================================================================== """ if self.exited: self.debugMsg(' send: exited already; raise ClosedError.') raise ClosedError() with self.sendLock: #if len(kwds) > 0: #print "Warning: send() ignored args:", kwds if opts is None: opts = {} assert callSync in ['off', 'sync', 'async'], 'callSync must be one of "off", "sync", or "async" (got %r)' % callSync if reqId is None: if callSync != 'off': ## requested return value; use the next available request ID reqId = self.nextRequestId self.nextRequestId += 1 else: ## If requestId is provided, this _must_ be a response to a previously received request. assert request in ['result', 'error'] if returnType is not None: opts['returnType'] = returnType #print os.getpid(), "send request:", request, reqId, opts ## double-pickle args to ensure that at least status and request ID get through try: optStr = pickle.dumps(opts) except: print("==== Error pickling this object: ====") print(opts) print("=======================================") raise nByteMsgs = 0 if byteData is not None: nByteMsgs = len(byteData) ## Send primary request request = (request, reqId, nByteMsgs, optStr) self.debugMsg('send request: cmd=%s nByteMsgs=%d id=%s opts=%s', request[0], nByteMsgs, reqId, opts) self.conn.send(request) ## follow up by sending byte messages if byteData is not None: for obj in byteData: ## Remote process _must_ be prepared to read the same number of byte messages! self.conn.send_bytes(obj) self.debugMsg(' sent %d byte messages', len(byteData)) self.debugMsg(' call sync: %s', callSync) if callSync == 'off': return req = Request(self, reqId, description=str(request), timeout=timeout) if callSync == 'async': return req if callSync == 'sync': return req.result() def close(self, callSync='off', noCleanup=False, **kwds): try: self.send(request='close', opts=dict(noCleanup=noCleanup), callSync=callSync, **kwds) self.exited = True except ClosedError: pass def getResult(self, reqId): ## raises NoResultError if the result is not available yet #print self.results.keys(), os.getpid() with self.resultLock: haveResult = reqId in self.results if not haveResult: try: self.processRequests() except ClosedError: ## even if remote connection has closed, we may have ## received new data during this call to processRequests() pass with self.resultLock: if reqId not in self.results: raise NoResultError() status, result = self.results.pop(reqId) if status == 'result': return result elif status == 'error': #print ''.join(result) exc, excStr = result if exc is not None: print("===== Remote process raised exception on request: =====") print(''.join(excStr)) print("===== Local Traceback to request follows: =====") raise exc else: print(''.join(excStr)) raise Exception("Error getting result. See above for exception from remote process.") else: raise Exception("Internal error.") def _import(self, mod, **kwds): """ Request the remote process import a module (or symbols from a module) and return the proxied results. Uses built-in __import__() function, but adds a bit more processing: _import('module') => returns module _import('module.submodule') => returns submodule (note this differs from behavior of __import__) _import('module', fromlist=[name1, name2, ...]) => returns [module.name1, module.name2, ...] (this also differs from behavior of __import__) """ return self.send(request='import', callSync='sync', opts=dict(module=mod), **kwds) def getObjAttr(self, obj, attr, **kwds): return self.send(request='getObjAttr', opts=dict(obj=obj, attr=attr), **kwds) def getObjValue(self, obj, **kwds): return self.send(request='getObjValue', opts=dict(obj=obj), **kwds) def callObj(self, obj, args, kwds, **opts): opts = opts.copy() args = list(args) ## Decide whether to send arguments by value or by proxy with self.optsLock: noProxyTypes = opts.pop('noProxyTypes', None) if noProxyTypes is None: noProxyTypes = self.proxyOptions['noProxyTypes'] autoProxy = opts.pop('autoProxy', self.proxyOptions['autoProxy']) if autoProxy is True: args = [self.autoProxy(v, noProxyTypes) for v in args] for k, v in kwds.items(): opts[k] = self.autoProxy(v, noProxyTypes) byteMsgs = [] ## If there are arrays in the arguments, send those as byte messages. ## We do this because pickling arrays is too expensive. for i,arg in enumerate(args): if arg.__class__ == np.ndarray: args[i] = ("__byte_message__", len(byteMsgs), (arg.dtype, arg.shape)) byteMsgs.append(arg) for k,v in kwds.items(): if v.__class__ == np.ndarray: kwds[k] = ("__byte_message__", len(byteMsgs), (v.dtype, v.shape)) byteMsgs.append(v) return self.send(request='callObj', opts=dict(obj=obj, args=args, kwds=kwds), byteData=byteMsgs, **opts) def registerProxy(self, proxy): with self.proxyLock: ref = weakref.ref(proxy, self.deleteProxy) self.proxies[ref] = proxy._proxyId def deleteProxy(self, ref): if self.send is None: # this can happen during shutdown return with self.proxyLock: proxyId = self.proxies.pop(ref) try: self.send(request='del', opts=dict(proxyId=proxyId), callSync='off') except ClosedError: ## if remote process has closed down, there is no need to send delete requests anymore pass def transfer(self, obj, **kwds): """ Transfer an object by value to the remote host (the object must be picklable) and return a proxy for the new remote object. """ if obj.__class__ is np.ndarray: opts = {'dtype': obj.dtype, 'shape': obj.shape} return self.send(request='transferArray', opts=opts, byteData=[obj], **kwds) else: return self.send(request='transfer', opts=dict(obj=obj), **kwds) def autoProxy(self, obj, noProxyTypes): ## Return object wrapped in LocalObjectProxy _unless_ its type is in noProxyTypes. for typ in noProxyTypes: if isinstance(obj, typ): return obj return LocalObjectProxy(obj) class Request(object): """ Request objects are returned when calling an ObjectProxy in asynchronous mode or if a synchronous call has timed out. Use hasResult() to ask whether the result of the call has been returned yet. Use result() to get the returned value. """ def __init__(self, process, reqId, description=None, timeout=10): self.proc = process self.description = description self.reqId = reqId self.gotResult = False self._result = None self.timeout = timeout def result(self, block=True, timeout=None): """ Return the result for this request. If block is True, wait until the result has arrived or *timeout* seconds passes. If the timeout is reached, raise NoResultError. (use timeout=None to disable) If block is False, raise NoResultError immediately if the result has not arrived yet. If the process's connection has closed before the result arrives, raise ClosedError. """ if self.gotResult: return self._result if timeout is None: timeout = self.timeout if block: start = time.time() while not self.hasResult(): if self.proc.exited: raise ClosedError() time.sleep(0.005) if timeout >= 0 and time.time() - start > timeout: print("Request timed out: %s" % self.description) import traceback traceback.print_stack() raise NoResultError() return self._result else: self._result = self.proc.getResult(self.reqId) ## raises NoResultError if result is not available yet self.gotResult = True return self._result def hasResult(self): """Returns True if the result for this request has arrived.""" try: self.result(block=False) except NoResultError: pass return self.gotResult class LocalObjectProxy(object): """ Used for wrapping local objects to ensure that they are send by proxy to a remote host. Note that 'proxy' is just a shorter alias for LocalObjectProxy. For example:: data = [1,2,3,4,5] remotePlot.plot(data) ## by default, lists are pickled and sent by value remotePlot.plot(proxy(data)) ## force the object to be sent by proxy """ nextProxyId = 0 proxiedObjects = {} ## maps {proxyId: object} @classmethod def registerObject(cls, obj): ## assign it a unique ID so we can keep a reference to the local object pid = cls.nextProxyId cls.nextProxyId += 1 cls.proxiedObjects[pid] = obj #print "register:", cls.proxiedObjects return pid @classmethod def lookupProxyId(cls, pid): return cls.proxiedObjects[pid] @classmethod def releaseProxyId(cls, pid): del cls.proxiedObjects[pid] #print "release:", cls.proxiedObjects def __init__(self, obj, **opts): """ Create a 'local' proxy object that, when sent to a remote host, will appear as a normal ObjectProxy to *obj*. Any extra keyword arguments are passed to proxy._setProxyOptions() on the remote side. """ self.processId = os.getpid() #self.objectId = id(obj) self.typeStr = repr(obj) #self.handler = handler self.obj = obj self.opts = opts def __reduce__(self): ## a proxy is being pickled and sent to a remote process. ## every time this happens, a new proxy will be generated in the remote process, ## so we keep a new ID so we can track when each is released. pid = LocalObjectProxy.registerObject(self.obj) return (unpickleObjectProxy, (self.processId, pid, self.typeStr, None, self.opts)) ## alias proxy = LocalObjectProxy def unpickleObjectProxy(processId, proxyId, typeStr, attributes=None, opts=None): if processId == os.getpid(): obj = LocalObjectProxy.lookupProxyId(proxyId) if attributes is not None: for attr in attributes: obj = getattr(obj, attr) return obj else: proxy = ObjectProxy(processId, proxyId=proxyId, typeStr=typeStr) if opts is not None: proxy._setProxyOptions(**opts) return proxy class ObjectProxy(object): """ Proxy to an object stored by the remote process. Proxies are created by calling Process._import(), Process.transfer(), or by requesting/calling attributes on existing proxy objects. For the most part, this object can be used exactly as if it were a local object:: rsys = proc._import('sys') # returns proxy to sys module on remote process rsys.stdout # proxy to remote sys.stdout rsys.stdout.write # proxy to remote sys.stdout.write rsys.stdout.write('hello') # calls sys.stdout.write('hello') on remote machine # and returns the result (None) When calling a proxy to a remote function, the call can be made synchronous (result of call is returned immediately), asynchronous (result is returned later), or return can be disabled entirely:: ros = proc._import('os') ## synchronous call; result is returned immediately pid = ros.getpid() ## asynchronous call request = ros.getpid(_callSync='async') while not request.hasResult(): time.sleep(0.01) pid = request.result() ## disable return when we know it isn't needed rsys.stdout.write('hello', _callSync='off') Additionally, values returned from a remote function call are automatically returned either by value (must be picklable) or by proxy. This behavior can be forced:: rnp = proc._import('numpy') arrProxy = rnp.array([1,2,3,4], _returnType='proxy') arrValue = rnp.array([1,2,3,4], _returnType='value') The default callSync and returnType behaviors (as well as others) can be set for each proxy individually using ObjectProxy._setProxyOptions() or globally using proc.setProxyOptions(). """ def __init__(self, processId, proxyId, typeStr='', parent=None): object.__init__(self) ## can't set attributes directly because setattr is overridden. self.__dict__['_processId'] = processId self.__dict__['_typeStr'] = typeStr self.__dict__['_proxyId'] = proxyId self.__dict__['_attributes'] = () ## attributes that affect the behavior of the proxy. ## in all cases, a value of None causes the proxy to ask ## its parent event handler to make the decision self.__dict__['_proxyOptions'] = { 'callSync': None, ## 'sync', 'async', None 'timeout': None, ## float, None 'returnType': None, ## 'proxy', 'value', 'auto', None 'deferGetattr': None, ## True, False, None 'noProxyTypes': None, ## list of types to send by value instead of by proxy 'autoProxy': None, } self.__dict__['_handler'] = RemoteEventHandler.getHandler(processId) self.__dict__['_handler'].registerProxy(self) ## handler will watch proxy; inform remote process when the proxy is deleted. def _setProxyOptions(self, **kwds): """ Change the behavior of this proxy. For all options, a value of None will cause the proxy to instead use the default behavior defined by its parent Process. Options are: ============= ============================================================= callSync 'sync', 'async', 'off', or None. If 'async', then calling methods will return a Request object which can be used to inquire later about the result of the method call. If 'sync', then calling a method will block until the remote process has returned its result or the timeout has elapsed (in this case, a Request object is returned instead). If 'off', then the remote process is instructed _not_ to reply and the method call will return None immediately. returnType 'auto', 'proxy', 'value', or None. If 'proxy', then the value returned when calling a method will be a proxy to the object on the remote process. If 'value', then attempt to pickle the returned object and send it back. If 'auto', then the decision is made by consulting the 'noProxyTypes' option. autoProxy bool or None. If True, arguments to __call__ are automatically converted to proxy unless their type is listed in noProxyTypes (see below). If False, arguments are left untouched. Use proxy(obj) to manually convert arguments before sending. timeout float or None. Length of time to wait during synchronous requests before returning a Request object instead. deferGetattr True, False, or None. If False, all attribute requests will be sent to the remote process immediately and will block until a response is received (or timeout has elapsed). If True, requesting an attribute from the proxy returns a new proxy immediately. The remote process is _not_ contacted to make this request. This is faster, but it is possible to request an attribute that does not exist on the proxied object. In this case, AttributeError will not be raised until an attempt is made to look up the attribute on the remote process. noProxyTypes List of object types that should _not_ be proxied when sent to the remote process. ============= ============================================================= """ for k in kwds: if k not in self._proxyOptions: raise KeyError("Unrecognized proxy option '%s'" % k) self._proxyOptions.update(kwds) def _getValue(self): """ Return the value of the proxied object (the remote object must be picklable) """ return self._handler.getObjValue(self) def _getProxyOption(self, opt): val = self._proxyOptions[opt] if val is None: return self._handler.getProxyOption(opt) return val def _getProxyOptions(self): return dict([(k, self._getProxyOption(k)) for k in self._proxyOptions]) def __reduce__(self): return (unpickleObjectProxy, (self._processId, self._proxyId, self._typeStr, self._attributes)) def __repr__(self): #objRepr = self.__getattr__('__repr__')(callSync='value') return "<ObjectProxy for process %d, object 0x%x: %s >" % (self._processId, self._proxyId, self._typeStr) def __getattr__(self, attr, **kwds): """ Calls __getattr__ on the remote object and returns the attribute by value or by proxy depending on the options set (see ObjectProxy._setProxyOptions and RemoteEventHandler.setProxyOptions) If the option 'deferGetattr' is True for this proxy, then a new proxy object is returned _without_ asking the remote object whether the named attribute exists. This can save time when making multiple chained attribute requests, but may also defer a possible AttributeError until later, making them more difficult to debug. """ opts = self._getProxyOptions() for k in opts: if '_'+k in kwds: opts[k] = kwds.pop('_'+k) if opts['deferGetattr'] is True: return self._deferredAttr(attr) else: #opts = self._getProxyOptions() return self._handler.getObjAttr(self, attr, **opts) def _deferredAttr(self, attr): return DeferredObjectProxy(self, attr) def __call__(self, *args, **kwds): """ Attempts to call the proxied object from the remote process. Accepts extra keyword arguments: _callSync 'off', 'sync', or 'async' _returnType 'value', 'proxy', or 'auto' If the remote call raises an exception on the remote process, it will be re-raised on the local process. """ opts = self._getProxyOptions() for k in opts: if '_'+k in kwds: opts[k] = kwds.pop('_'+k) return self._handler.callObj(obj=self, args=args, kwds=kwds, **opts) ## Explicitly proxy special methods. Is there a better way to do this?? def _getSpecialAttr(self, attr): ## this just gives us an easy way to change the behavior of the special methods return self._deferredAttr(attr) def __getitem__(self, *args): return self._getSpecialAttr('__getitem__')(*args) def __setitem__(self, *args): return self._getSpecialAttr('__setitem__')(*args, _callSync='off') def __setattr__(self, *args): return self._getSpecialAttr('__setattr__')(*args, _callSync='off') def __str__(self, *args): return self._getSpecialAttr('__str__')(*args, _returnType='value') def __len__(self, *args): return self._getSpecialAttr('__len__')(*args) def __add__(self, *args): return self._getSpecialAttr('__add__')(*args) def __sub__(self, *args): return self._getSpecialAttr('__sub__')(*args) def __div__(self, *args): return self._getSpecialAttr('__div__')(*args) def __truediv__(self, *args): return self._getSpecialAttr('__truediv__')(*args) def __floordiv__(self, *args): return self._getSpecialAttr('__floordiv__')(*args) def __mul__(self, *args): return self._getSpecialAttr('__mul__')(*args) def __pow__(self, *args): return self._getSpecialAttr('__pow__')(*args) def __iadd__(self, *args): return self._getSpecialAttr('__iadd__')(*args, _callSync='off') def __isub__(self, *args): return self._getSpecialAttr('__isub__')(*args, _callSync='off') def __idiv__(self, *args): return self._getSpecialAttr('__idiv__')(*args, _callSync='off') def __itruediv__(self, *args): return self._getSpecialAttr('__itruediv__')(*args, _callSync='off') def __ifloordiv__(self, *args): return self._getSpecialAttr('__ifloordiv__')(*args, _callSync='off') def __imul__(self, *args): return self._getSpecialAttr('__imul__')(*args, _callSync='off') def __ipow__(self, *args): return self._getSpecialAttr('__ipow__')(*args, _callSync='off') def __rshift__(self, *args): return self._getSpecialAttr('__rshift__')(*args) def __lshift__(self, *args): return self._getSpecialAttr('__lshift__')(*args) def __irshift__(self, *args): return self._getSpecialAttr('__irshift__')(*args, _callSync='off') def __ilshift__(self, *args): return self._getSpecialAttr('__ilshift__')(*args, _callSync='off') def __eq__(self, *args): return self._getSpecialAttr('__eq__')(*args) def __ne__(self, *args): return self._getSpecialAttr('__ne__')(*args) def __lt__(self, *args): return self._getSpecialAttr('__lt__')(*args) def __gt__(self, *args): return self._getSpecialAttr('__gt__')(*args) def __le__(self, *args): return self._getSpecialAttr('__le__')(*args) def __ge__(self, *args): return self._getSpecialAttr('__ge__')(*args) def __and__(self, *args): return self._getSpecialAttr('__and__')(*args) def __or__(self, *args): return self._getSpecialAttr('__or__')(*args) def __xor__(self, *args): return self._getSpecialAttr('__xor__')(*args) def __iand__(self, *args): return self._getSpecialAttr('__iand__')(*args, _callSync='off') def __ior__(self, *args): return self._getSpecialAttr('__ior__')(*args, _callSync='off') def __ixor__(self, *args): return self._getSpecialAttr('__ixor__')(*args, _callSync='off') def __mod__(self, *args): return self._getSpecialAttr('__mod__')(*args) def __radd__(self, *args): return self._getSpecialAttr('__radd__')(*args) def __rsub__(self, *args): return self._getSpecialAttr('__rsub__')(*args) def __rdiv__(self, *args): return self._getSpecialAttr('__rdiv__')(*args) def __rfloordiv__(self, *args): return self._getSpecialAttr('__rfloordiv__')(*args) def __rtruediv__(self, *args): return self._getSpecialAttr('__rtruediv__')(*args) def __rmul__(self, *args): return self._getSpecialAttr('__rmul__')(*args) def __rpow__(self, *args): return self._getSpecialAttr('__rpow__')(*args) def __rrshift__(self, *args): return self._getSpecialAttr('__rrshift__')(*args) def __rlshift__(self, *args): return self._getSpecialAttr('__rlshift__')(*args) def __rand__(self, *args): return self._getSpecialAttr('__rand__')(*args) def __ror__(self, *args): return self._getSpecialAttr('__ror__')(*args) def __rxor__(self, *args): return self._getSpecialAttr('__ror__')(*args) def __rmod__(self, *args): return self._getSpecialAttr('__rmod__')(*args) def __hash__(self): ## Required for python3 since __eq__ is defined. return id(self) class DeferredObjectProxy(ObjectProxy): """ This class represents an attribute (or sub-attribute) of a proxied object. It is used to speed up attribute requests. Take the following scenario:: rsys = proc._import('sys') rsys.stdout.write('hello') For this simple example, a total of 4 synchronous requests are made to the remote process: 1) import sys 2) getattr(sys, 'stdout') 3) getattr(stdout, 'write') 4) write('hello') This takes a lot longer than running the equivalent code locally. To speed things up, we can 'defer' the two attribute lookups so they are only carried out when neccessary:: rsys = proc._import('sys') rsys._setProxyOptions(deferGetattr=True) rsys.stdout.write('hello') This example only makes two requests to the remote process; the two attribute lookups immediately return DeferredObjectProxy instances immediately without contacting the remote process. When the call to write() is made, all attribute requests are processed at the same time. Note that if the attributes requested do not exist on the remote object, making the call to write() will raise an AttributeError. """ def __init__(self, parentProxy, attribute): ## can't set attributes directly because setattr is overridden. for k in ['_processId', '_typeStr', '_proxyId', '_handler']: self.__dict__[k] = getattr(parentProxy, k) self.__dict__['_parent'] = parentProxy ## make sure parent stays alive self.__dict__['_attributes'] = parentProxy._attributes + (attribute,) self.__dict__['_proxyOptions'] = parentProxy._proxyOptions.copy() def __repr__(self): return ObjectProxy.__repr__(self) + '.' + '.'.join(self._attributes) def _undefer(self): """ Return a non-deferred ObjectProxy referencing the same object """ return self._parent.__getattr__(self._attributes[-1], _deferGetattr=False)

42.865248

132

0.544197

import os, time, sys, traceback, weakref import numpy as np import threading try: import __builtin__ as builtins import cPickle as pickle except ImportError: import builtins import pickle from ..util import cprint class ClosedError(Exception): pass class NoResultError(Exception): pass class RemoteEventHandler(object): handlers = {} self.debug = debug self.conn = connection self.name = name self.results = {} LocalObjectProxy, ObjectProxy ], } if int(sys.version[0]) < 3: self.proxyOptions['noProxyTypes'].append(unicode) else: self.proxyOptions['noProxyTypes'].append(bytes) self.optsLock = threading.RLock() self.nextRequestId = 0 self.exited = False self.processLock = threading.RLock() self.sendLock = threading.RLock() RemoteEventHandler.handlers[pid] = self try: return cls.handlers[pid] except: print(pid, cls.handlers) raise def debugMsg(self, msg, *args): if not self.debug: return cprint.cout(self.debug, "[%d] %s\n" % (os.getpid(), str(msg)%args), -1) def getProxyOption(self, opt): with self.optsLock: return self.proxyOptions[opt] def setProxyOptions(self, **kwds): with self.optsLock: self.proxyOptions.update(kwds) def processRequests(self): with self.processLock: if self.exited: self.debugMsg(' processRequests: exited already; raise ClosedError.') raise ClosedError() numProcessed = 0 while self.conn.poll(): try: self.handleRequest() numProcessed += 1 except ClosedError: self.debugMsg('processRequests: got ClosedError from handleRequest; setting exited=True.') self.exited = True raise print("Error in process %s" % self.name) sys.excepthook(*sys.exc_info()) if numProcessed > 0: self.debugMsg('processRequests: finished %d requests', numProcessed) return numProcessed def handleRequest(self): result = None while True: try: ak except EOFError: self.debugMsg(' handleRequest: got EOFError from recv; raise ClosedError.') except IOError as err: if err.errno == 4: handleRequest: got IOError 4 from recv; try again.') continue else: self.debugMsg(' handleRequest: got IOError %d from recv (%s); raise ClosedError.', err.errno, err.strerror) raise ClosedError() self.debugMsg(" handleRequest: received %s %s", cmd, reqId) : self.debugMsg(" handleRequest: reading %d byte messages", nByteMsgs) for i in range(nByteMsgs): while True: try: byteData.append(self.conn.recv_bytes()) break except EOFError: self.debugMsg(" handleRequest: got EOF while reading byte messages; raise ClosedError.") raise ClosedError() except IOError as err: if err.errno == 4: self.debugMsg(" handleRequest: got IOError 4 while reading byte messages; try again.") continue else: self.debugMsg(" handleRequest: got IOError while reading byte messages; raise ClosedError.") raise ClosedError() try: if cmd == 'result' or cmd == 'error': resultId = reqId reqId = None (" handleRequest: id=%s opts=%s", reqId, opts) returnType = opts.get('returnType', 'auto') if cmd == 'result': with self.resultLock: self.results[resultId] = ('result', opts['result']) elif cmd == 'error': with self.resultLock: self.results[resultId] = ('error', (opts['exception'], opts['excString'])) elif cmd == 'getObjAttr': result = getattr(opts['obj'], opts['attr']) elif cmd == 'callObj': obj = opts['obj'] fnargs = opts['args'] fnkwds = opts['kwds'] in enumerate(fnargs): if isinstance(arg, tuple) and len(arg) > 0 and arg[0] == '__byte_message__': ind = arg[1] dtype, shape = arg[2] fnargs[i] = np.fromstring(byteData[ind], dtype=dtype).reshape(shape) for k,arg in fnkwds.items(): if isinstance(arg, tuple) and len(arg) > 0 and arg[0] == '__byte_message__': ind = arg[1] dtype, shape = arg[2] fnkwds[k] = np.fromstring(byteData[ind], dtype=dtype).reshape(shape) if len(fnkwds) == 0: except: print("Failed to call object %s: %d, %s" % (obj, len(fnargs), fnargs[1:])) raise else: result = obj(*fnargs, **fnkwds) elif cmd == 'getObjValue': result = opts['obj'] elif cmd == 'transfer': result = opts['obj'] returnType = 'proxy' elif cmd == 'transferArray': ing(byteData[0], dtype=opts['dtype']).reshape(opts['shape']) returnType = 'proxy' elif cmd == 'import': name = opts['module'] fromlist = opts.get('fromlist', []) mod = builtins.__import__(name, fromlist=fromlist) if len(fromlist) == 0: parts = name.lstrip('.').split('.') result = mod for part in parts[1:]: result = getattr(result, part) else: result = map(mod.__getattr__, fromlist) elif cmd == 'del': LocalObjectProxy.releaseProxyId(opts['proxyId']) elif cmd == 'close': if reqId is not None: result = True returnType = 'value' exc = None except: exc = sys.exc_info() if reqId is not None: if exc is None: self.debugMsg(" handleRequest: sending return value for %d: %s", reqId, result) if returnType == 'auto': with self.optsLock: noProxyTypes = self.proxyOptions['noProxyTypes'] result = self.autoProxy(result, noProxyTypes) elif returnType == 'proxy': result = LocalObjectProxy(result) try: self.replyResult(reqId, result) except: sys.excepthook(*sys.exc_info()) self.replyError(reqId, *sys.exc_info()) else: self.debugMsg(" handleRequest: returning exception for %d", reqId) self.replyError(reqId, *exc) elif exc is not None: sys.excepthook(*exc) if cmd == 'close': if opts.get('noCleanup', False) is True: os._exit(0) def replyResult(self, reqId, result): self.send(request='result', reqId=reqId, callSync='off', opts=dict(result=result)) def replyError(self, reqId, *exc): print("error: %s %s %s" % (self.name, str(reqId), str(exc[1]))) excStr = traceback.format_exception(*exc) try: self.send(request='error', reqId=reqId, callSync='off', opts=dict(exception=exc[1], excString=excStr)) except: self.send(request='error', reqId=reqId, callSync='off', opts=dict(exception=None, excString=excStr)) def send(self, request, opts=None, reqId=None, callSync='sync', timeout=10, returnType=None, byteData=None, **kwds): if self.exited: self.debugMsg(' send: exited already; raise ClosedError.') raise ClosedError() with self.sendLock: if opts is None: opts = {} assert callSync in ['off', 'sync', 'async'], 'callSync must be one of "off", "sync", or "async" (got %r)' % callSync if reqId is None: if callSync != 'off': self.nextRequestId += 1 else: rnType is not None: opts['returnType'] = returnType pt: print("==== Error pickling this object: ====") print(opts) print("=======================================") raise nByteMsgs = 0 if byteData is not None: nByteMsgs = len(byteData) (request, reqId, nByteMsgs, optStr) self.debugMsg('send request: cmd=%s nByteMsgs=%d id=%s opts=%s', request[0], nByteMsgs, reqId, opts) self.conn.send(request) : for obj in byteData: ' sent %d byte messages', len(byteData)) self.debugMsg(' call sync: %s', callSync) if callSync == 'off': return req = Request(self, reqId, description=str(request), timeout=timeout) if callSync == 'async': return req if callSync == 'sync': return req.result() def close(self, callSync='off', noCleanup=False, **kwds): try: self.send(request='close', opts=dict(noCleanup=noCleanup), callSync=callSync, **kwds) self.exited = True except ClosedError: pass def getResult(self, reqId): esult = reqId in self.results if not haveResult: try: self.processRequests() except ClosedError: reqId not in self.results: raise NoResultError() status, result = self.results.pop(reqId) if status == 'result': return result elif status == 'error': exc, excStr = result if exc is not None: print("===== Remote process raised exception on request: =====") print(''.join(excStr)) print("===== Local Traceback to request follows: =====") raise exc else: print(''.join(excStr)) raise Exception("Error getting result. See above for exception from remote process.") else: raise Exception("Internal error.") def _import(self, mod, **kwds): return self.send(request='import', callSync='sync', opts=dict(module=mod), **kwds) def getObjAttr(self, obj, attr, **kwds): return self.send(request='getObjAttr', opts=dict(obj=obj, attr=attr), **kwds) def getObjValue(self, obj, **kwds): return self.send(request='getObjValue', opts=dict(obj=obj), **kwds) def callObj(self, obj, args, kwds, **opts): opts = opts.copy() args = list(args) opts.pop('noProxyTypes', None) if noProxyTypes is None: noProxyTypes = self.proxyOptions['noProxyTypes'] autoProxy = opts.pop('autoProxy', self.proxyOptions['autoProxy']) if autoProxy is True: args = [self.autoProxy(v, noProxyTypes) for v in args] for k, v in kwds.items(): opts[k] = self.autoProxy(v, noProxyTypes) byteMsgs = [] byte_message__", len(byteMsgs), (arg.dtype, arg.shape)) byteMsgs.append(arg) for k,v in kwds.items(): if v.__class__ == np.ndarray: kwds[k] = ("__byte_message__", len(byteMsgs), (v.dtype, v.shape)) byteMsgs.append(v) return self.send(request='callObj', opts=dict(obj=obj, args=args, kwds=kwds), byteData=byteMsgs, **opts) def registerProxy(self, proxy): with self.proxyLock: ref = weakref.ref(proxy, self.deleteProxy) self.proxies[ref] = proxy._proxyId def deleteProxy(self, ref): if self.send is None: return with self.proxyLock: proxyId = self.proxies.pop(ref) try: self.send(request='del', opts=dict(proxyId=proxyId), callSync='off') except ClosedError: p.ndarray: opts = {'dtype': obj.dtype, 'shape': obj.shape} return self.send(request='transferArray', opts=opts, byteData=[obj], **kwds) else: return self.send(request='transfer', opts=dict(obj=obj), **kwds) def autoProxy(self, obj, noProxyTypes): return obj return LocalObjectProxy(obj) class Request(object): def __init__(self, process, reqId, description=None, timeout=10): self.proc = process self.description = description self.reqId = reqId self.gotResult = False self._result = None self.timeout = timeout def result(self, block=True, timeout=None): if self.gotResult: return self._result if timeout is None: timeout = self.timeout if block: start = time.time() while not self.hasResult(): if self.proc.exited: raise ClosedError() time.sleep(0.005) if timeout >= 0 and time.time() - start > timeout: print("Request timed out: %s" % self.description) import traceback traceback.print_stack() raise NoResultError() return self._result else: self._result = self.proc.getResult(self.reqId) self._result def hasResult(self): try: self.result(block=False) except NoResultError: pass return self.gotResult class LocalObjectProxy(object): nextProxyId = 0 proxiedObjects = {} hod def registerObject(cls, obj): cls.proxiedObjects[pid] = obj return pid @classmethod def lookupProxyId(cls, pid): return cls.proxiedObjects[pid] @classmethod def releaseProxyId(cls, pid): del cls.proxiedObjects[pid] def __init__(self, obj, **opts): self.processId = os.getpid() self.typeStr = repr(obj) self.obj = obj self.opts = opts def __reduce__(self): def unpickleObjectProxy(processId, proxyId, typeStr, attributes=None, opts=None): if processId == os.getpid(): obj = LocalObjectProxy.lookupProxyId(proxyId) if attributes is not None: for attr in attributes: obj = getattr(obj, attr) return obj else: proxy = ObjectProxy(processId, proxyId=proxyId, typeStr=typeStr) if opts is not None: proxy._setProxyOptions(**opts) return proxy class ObjectProxy(object): def __init__(self, processId, proxyId, typeStr='', parent=None): object.__init__(self) __dict__['_typeStr'] = typeStr self.__dict__['_proxyId'] = proxyId self.__dict__['_attributes'] = () ## attributes that affect the behavior of the proxy. ## in all cases, a value of None causes the proxy to ask ## its parent event handler to make the decision self.__dict__['_proxyOptions'] = { 'callSync': None, ## 'sync', 'async', None 'timeout': None, ## float, None 'returnType': None, ## 'proxy', 'value', 'auto', None 'deferGetattr': None, ## True, False, None 'noProxyTypes': None, ## list of types to send by value instead of by proxy 'autoProxy': None, } self.__dict__['_handler'] = RemoteEventHandler.getHandler(processId) self.__dict__['_handler'].registerProxy(self) ## handler will watch proxy; inform remote process when the proxy is deleted. def _setProxyOptions(self, **kwds): for k in kwds: if k not in self._proxyOptions: raise KeyError("Unrecognized proxy option '%s'" % k) self._proxyOptions.update(kwds) def _getValue(self): return self._handler.getObjValue(self) def _getProxyOption(self, opt): val = self._proxyOptions[opt] if val is None: return self._handler.getProxyOption(opt) return val def _getProxyOptions(self): return dict([(k, self._getProxyOption(k)) for k in self._proxyOptions]) def __reduce__(self): return (unpickleObjectProxy, (self._processId, self._proxyId, self._typeStr, self._attributes)) def __repr__(self): #objRepr = self.__getattr__('__repr__')(callSync='value') return "<ObjectProxy for process %d, object 0x%x: %s >" % (self._processId, self._proxyId, self._typeStr) def __getattr__(self, attr, **kwds): opts = self._getProxyOptions() for k in opts: if '_'+k in kwds: opts[k] = kwds.pop('_'+k) if opts['deferGetattr'] is True: return self._deferredAttr(attr) else: #opts = self._getProxyOptions() return self._handler.getObjAttr(self, attr, **opts) def _deferredAttr(self, attr): return DeferredObjectProxy(self, attr) def __call__(self, *args, **kwds): opts = self._getProxyOptions() for k in opts: if '_'+k in kwds: opts[k] = kwds.pop('_'+k) return self._handler.callObj(obj=self, args=args, kwds=kwds, **opts) ## Explicitly proxy special methods. Is there a better way to do this?? def _getSpecialAttr(self, attr): ## this just gives us an easy way to change the behavior of the special methods return self._deferredAttr(attr) def __getitem__(self, *args): return self._getSpecialAttr('__getitem__')(*args) def __setitem__(self, *args): return self._getSpecialAttr('__setitem__')(*args, _callSync='off') def __setattr__(self, *args): return self._getSpecialAttr('__setattr__')(*args, _callSync='off') def __str__(self, *args): return self._getSpecialAttr('__str__')(*args, _returnType='value') def __len__(self, *args): return self._getSpecialAttr('__len__')(*args) def __add__(self, *args): return self._getSpecialAttr('__add__')(*args) def __sub__(self, *args): return self._getSpecialAttr('__sub__')(*args) def __div__(self, *args): return self._getSpecialAttr('__div__')(*args) def __truediv__(self, *args): return self._getSpecialAttr('__truediv__')(*args) def __floordiv__(self, *args): return self._getSpecialAttr('__floordiv__')(*args) def __mul__(self, *args): return self._getSpecialAttr('__mul__')(*args) def __pow__(self, *args): return self._getSpecialAttr('__pow__')(*args) def __iadd__(self, *args): return self._getSpecialAttr('__iadd__')(*args, _callSync='off') def __isub__(self, *args): return self._getSpecialAttr('__isub__')(*args, _callSync='off') def __idiv__(self, *args): return self._getSpecialAttr('__idiv__')(*args, _callSync='off') def __itruediv__(self, *args): return self._getSpecialAttr('__itruediv__')(*args, _callSync='off') def __ifloordiv__(self, *args): return self._getSpecialAttr('__ifloordiv__')(*args, _callSync='off') def __imul__(self, *args): return self._getSpecialAttr('__imul__')(*args, _callSync='off') def __ipow__(self, *args): return self._getSpecialAttr('__ipow__')(*args, _callSync='off') def __rshift__(self, *args): return self._getSpecialAttr('__rshift__')(*args) def __lshift__(self, *args): return self._getSpecialAttr('__lshift__')(*args) def __irshift__(self, *args): return self._getSpecialAttr('__irshift__')(*args, _callSync='off') def __ilshift__(self, *args): return self._getSpecialAttr('__ilshift__')(*args, _callSync='off') def __eq__(self, *args): return self._getSpecialAttr('__eq__')(*args) def __ne__(self, *args): return self._getSpecialAttr('__ne__')(*args) def __lt__(self, *args): return self._getSpecialAttr('__lt__')(*args) def __gt__(self, *args): return self._getSpecialAttr('__gt__')(*args) def __le__(self, *args): return self._getSpecialAttr('__le__')(*args) def __ge__(self, *args): return self._getSpecialAttr('__ge__')(*args) def __and__(self, *args): return self._getSpecialAttr('__and__')(*args) def __or__(self, *args): return self._getSpecialAttr('__or__')(*args) def __xor__(self, *args): return self._getSpecialAttr('__xor__')(*args) def __iand__(self, *args): return self._getSpecialAttr('__iand__')(*args, _callSync='off') def __ior__(self, *args): return self._getSpecialAttr('__ior__')(*args, _callSync='off') def __ixor__(self, *args): return self._getSpecialAttr('__ixor__')(*args, _callSync='off') def __mod__(self, *args): return self._getSpecialAttr('__mod__')(*args) def __radd__(self, *args): return self._getSpecialAttr('__radd__')(*args) def __rsub__(self, *args): return self._getSpecialAttr('__rsub__')(*args) def __rdiv__(self, *args): return self._getSpecialAttr('__rdiv__')(*args) def __rfloordiv__(self, *args): return self._getSpecialAttr('__rfloordiv__')(*args) def __rtruediv__(self, *args): return self._getSpecialAttr('__rtruediv__')(*args) def __rmul__(self, *args): return self._getSpecialAttr('__rmul__')(*args) def __rpow__(self, *args): return self._getSpecialAttr('__rpow__')(*args) def __rrshift__(self, *args): return self._getSpecialAttr('__rrshift__')(*args) def __rlshift__(self, *args): return self._getSpecialAttr('__rlshift__')(*args) def __rand__(self, *args): return self._getSpecialAttr('__rand__')(*args) def __ror__(self, *args): return self._getSpecialAttr('__ror__')(*args) def __rxor__(self, *args): return self._getSpecialAttr('__ror__')(*args) def __rmod__(self, *args): return self._getSpecialAttr('__rmod__')(*args) def __hash__(self): ## Required for python3 since __eq__ is defined. return id(self) class DeferredObjectProxy(ObjectProxy): def __init__(self, parentProxy, attribute): ## can't set attributes directly because setattr is overridden. for k in ['_processId', '_typeStr', '_proxyId', '_handler']: self.__dict__[k] = getattr(parentProxy, k) self.__dict__['_parent'] = parentProxy butes'] = parentProxy._attributes + (attribute,) self.__dict__['_proxyOptions'] = parentProxy._proxyOptions.copy() def __repr__(self): return ObjectProxy.__repr__(self) + '.' + '.'.join(self._attributes) def _undefer(self): return self._parent.__getattr__(self._attributes[-1], _deferGetattr=False)

true

f73d453812bcfc25c8bbd44be64d84d895cd81c9

76

py

Python

main.py

sebanie15/simple_clinic

4dc942b0549ee6397a0e89dd7aa03eb8580b4a5a

[ "MIT" ]

null

main.py

sebanie15/simple_clinic

4dc942b0549ee6397a0e89dd7aa03eb8580b4a5a

[ "MIT" ]

null

main.py

sebanie15/simple_clinic

4dc942b0549ee6397a0e89dd7aa03eb8580b4a5a

[ "MIT" ]

null

# !/usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: sebanie15 """

10.857143

23

0.539474

true

f73d45577cc68e12b4eeb5c8da70320946d43fce

7,327

py

Python

__init__.py

APRAND/mission

a00532ef1fb6bd1cfc6bbfe1a1ebe3b5a32fead4

[ "MIT" ]

null

__init__.py

APRAND/mission

a00532ef1fb6bd1cfc6bbfe1a1ebe3b5a32fead4

[ "MIT" ]

null

__init__.py

APRAND/mission

a00532ef1fb6bd1cfc6bbfe1a1ebe3b5a32fead4

[ "MIT" ]

null

import os, inspect from lib import navpy from util import transformations as tr from util import SRTM, common, file_tools, mavlink_meta from shapely.geometry import LineString from shapely import affinity # Samuel Dudley # September 2018 # Mission planning tool for mavlink enabled vehicles # Setup logging # generic mission object class BaseMission(object): def __init__(self, missionID, takeoffAlt, takoffLoiterTime, outputDir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'missions'), logName = 'mission'): # setup logger self.logger = common.setupLogger(logName) # set ouput directory self.outputDir = outputDir # TODO: Check to make sure the dir exists self.latRef = None self.lonRef = None self.altRef = None self.frame = 'ned' self.points = [] # setup altitude types self.altitudeTypes = {'relative':3, 'terrain':10} self.availableFrames = ['ned', 'lla'] self.missionID = missionID self.takeoffAlt = takeoffAlt self.takoffLoiterTime = takoffLoiterTime self.filePath = os.path.join(self.outputDir, self.missionID+'.txt') self.fid = None self.missionLine = 0 self.autoContinue = 1 self.mavlinkEnums = mavlink_meta.getMavlinkEnums() def writeWaypointFile(self, actions): file_tools.makePath(self.outputDir) with open(self.filePath, 'w+') as self.fid: for action in actions: if inspect.ismethod(action): action() else: self.writeGenericAction(action) def writeWaypointLine(self, line, newLine = True): if newLine: line +="\n" if not self.fid.closed: self.fid.write(line) self.missionLine += 1 else: # The waypoint file is closed self.logger.error('Failed to write to waypoint file') def writeHomeLLA(self): line = "{0} 0 0 {1} 0.0 0.0 0.0 0.0 {2} {3} {4} {5}".format(self.missionLine, self.mavlinkEnums['MAV_CMD']['NAV_WAYPOINT']['value'], self.latRef, self.lonRef, self.altRef, self.autoContinue) self.writeWaypointLine(line) def writeTakeoffLLA(self): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 {3} {4} {5} {6}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_TAKEOFF']['value'], self.latRef, self.lonRef, self.takeoffAlt, self.autoContinue) self.writeWaypointLine(line) def writeLoiterTime(self): line = "{0} 0 {1} {2} {3} 0.0 0.0 0.0 {4} {5} {6} {7}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_LOITER_TIME']['value'], self.takoffLoiterTime, self.latRef, self.lonRef, self.takeoffAlt, self.autoContinue) self.writeWaypointLine(line) def writeReturnToLaunch(self): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 0.0 0.0 0.0 {3}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_RETURN_TO_LAUNCH']['value'], self.autoContinue) self.writeWaypointLine(line) def writeWaypointLLA(self, lla): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 {3} {4} {5} {6}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_WAYPOINT']['value'], lla[0], lla[1], lla[2], self.autoContinue) self.writeWaypointLine(line) def writePreamble(self): self.writeWaypointLine("QGC WPL 110") self.missionLine = 0 def writeGenericAction(self, action): line = "{0} {1}".format(self.missionLine, action) self.writeWaypointLine(line) def checkFrame(self): if self.frame.lower() in self.availableFrames: return True else: return False def setReferenceLLA(self, LLA=[]): # TODO: check LLA length self.latRef = LLA[0] self.lonRef = LLA[1] self.altRef = LLA[2] sss = SRTM.NEDGround(lla_ref = LLA , width_m = 10000 , height_m = 10000 , step_m = 30, logger = self.logger) def setReferenceLatitude(self, lat): self.latRef = lat def setReferenceLongitude(self, lon): self.lonRef = lon def setReferenceAltitude(self, alt): self.altRef = alt def getPointsNED(self, lla): ned = navpy.lla2ned(lla[0], lla[1], lla[2], lat_ref = self.latRef, lon_ref = self.lonRef, alt_ref = self.altRef) return list(ned) def getPointsLLA(self, ned): lla = navpy.ned2lla(ned, lat_ref = self.latRef, lon_ref= self.lonRef , alt_ref = self.altRef) return list(lla) class GridMission(BaseMission): def __init__(self, missionID, takeoffAlt = 10, takoffLoiterTime = 5, append = False): super(GridMission, self).__init__(missionID, takeoffAlt, takoffLoiterTime) self.logger.debug(missionID) def generateGrid(self, out = 100, right = 50, yaw = 45, alt = 25): # TODO: dynamically calculate lane width from sensor FoV and alt laneWidth = 10 points = [] if right < 0: laneWidth = -laneWidth for k in range(0, 50, 2): points.append((0, k*laneWidth)) points.append((out, k*laneWidth)) points.append((out, (k+1)*laneWidth)) points.append((0, (k+1)*laneWidth)) if abs(laneWidth*(k+1)) > abs(right) : break; line = LineString(points) # line = affinity.rotate(line, angle=yaw, origin=list(line.coords)[0], use_radians=False) llas = [self.getPointsLLA([point[0], point[1], 0]) for point in list(line.coords)] for lla in llas: self.writeWaypointLLA([lla[0], lla[1], alt]) if __name__ == '__main__': mission = GridMission('grid_test') mission.setReferenceLLA([-35.3615074158, 149.163650513, 500]) actions = [mission.writePreamble, mission.writeHomeLLA, mission.writeTakeoffLLA, mission.writeLoiterTime, mission.generateGrid, mission.writeReturnToLaunch] mission.writeWaypointFile(actions)

43.1

168

0.538965

import os, inspect from lib import navpy from util import transformations as tr from util import SRTM, common, file_tools, mavlink_meta from shapely.geometry import LineString from shapely import affinity class BaseMission(object): def __init__(self, missionID, takeoffAlt, takoffLoiterTime, outputDir = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'missions'), logName = 'mission'): self.logger = common.setupLogger(logName) self.outputDir = outputDir self.latRef = None self.lonRef = None self.altRef = None self.frame = 'ned' self.points = [] self.altitudeTypes = {'relative':3, 'terrain':10} self.availableFrames = ['ned', 'lla'] self.missionID = missionID self.takeoffAlt = takeoffAlt self.takoffLoiterTime = takoffLoiterTime self.filePath = os.path.join(self.outputDir, self.missionID+'.txt') self.fid = None self.missionLine = 0 self.autoContinue = 1 self.mavlinkEnums = mavlink_meta.getMavlinkEnums() def writeWaypointFile(self, actions): file_tools.makePath(self.outputDir) with open(self.filePath, 'w+') as self.fid: for action in actions: if inspect.ismethod(action): action() else: self.writeGenericAction(action) def writeWaypointLine(self, line, newLine = True): if newLine: line +="\n" if not self.fid.closed: self.fid.write(line) self.missionLine += 1 else: self.logger.error('Failed to write to waypoint file') def writeHomeLLA(self): line = "{0} 0 0 {1} 0.0 0.0 0.0 0.0 {2} {3} {4} {5}".format(self.missionLine, self.mavlinkEnums['MAV_CMD']['NAV_WAYPOINT']['value'], self.latRef, self.lonRef, self.altRef, self.autoContinue) self.writeWaypointLine(line) def writeTakeoffLLA(self): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 {3} {4} {5} {6}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_TAKEOFF']['value'], self.latRef, self.lonRef, self.takeoffAlt, self.autoContinue) self.writeWaypointLine(line) def writeLoiterTime(self): line = "{0} 0 {1} {2} {3} 0.0 0.0 0.0 {4} {5} {6} {7}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_LOITER_TIME']['value'], self.takoffLoiterTime, self.latRef, self.lonRef, self.takeoffAlt, self.autoContinue) self.writeWaypointLine(line) def writeReturnToLaunch(self): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 0.0 0.0 0.0 {3}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_RETURN_TO_LAUNCH']['value'], self.autoContinue) self.writeWaypointLine(line) def writeWaypointLLA(self, lla): line = "{0} 0 {1} {2} 0.0 0.0 0.0 0.0 {3} {4} {5} {6}".format(self.missionLine, self.mavlinkEnums['MAV_FRAME']['GLOBAL_RELATIVE_ALT']['value'], self.mavlinkEnums['MAV_CMD']['NAV_WAYPOINT']['value'], lla[0], lla[1], lla[2], self.autoContinue) self.writeWaypointLine(line) def writePreamble(self): self.writeWaypointLine("QGC WPL 110") self.missionLine = 0 def writeGenericAction(self, action): line = "{0} {1}".format(self.missionLine, action) self.writeWaypointLine(line) def checkFrame(self): if self.frame.lower() in self.availableFrames: return True else: return False def setReferenceLLA(self, LLA=[]): self.latRef = LLA[0] self.lonRef = LLA[1] self.altRef = LLA[2] sss = SRTM.NEDGround(lla_ref = LLA , width_m = 10000 , height_m = 10000 , step_m = 30, logger = self.logger) def setReferenceLatitude(self, lat): self.latRef = lat def setReferenceLongitude(self, lon): self.lonRef = lon def setReferenceAltitude(self, alt): self.altRef = alt def getPointsNED(self, lla): ned = navpy.lla2ned(lla[0], lla[1], lla[2], lat_ref = self.latRef, lon_ref = self.lonRef, alt_ref = self.altRef) return list(ned) def getPointsLLA(self, ned): lla = navpy.ned2lla(ned, lat_ref = self.latRef, lon_ref= self.lonRef , alt_ref = self.altRef) return list(lla) class GridMission(BaseMission): def __init__(self, missionID, takeoffAlt = 10, takoffLoiterTime = 5, append = False): super(GridMission, self).__init__(missionID, takeoffAlt, takoffLoiterTime) self.logger.debug(missionID) def generateGrid(self, out = 100, right = 50, yaw = 45, alt = 25): laneWidth = 10 points = [] if right < 0: laneWidth = -laneWidth for k in range(0, 50, 2): points.append((0, k*laneWidth)) points.append((out, k*laneWidth)) points.append((out, (k+1)*laneWidth)) points.append((0, (k+1)*laneWidth)) if abs(laneWidth*(k+1)) > abs(right) : break; line = LineString(points) llas = [self.getPointsLLA([point[0], point[1], 0]) for point in list(line.coords)] for lla in llas: self.writeWaypointLLA([lla[0], lla[1], alt]) if __name__ == '__main__': mission = GridMission('grid_test') mission.setReferenceLLA([-35.3615074158, 149.163650513, 500]) actions = [mission.writePreamble, mission.writeHomeLLA, mission.writeTakeoffLLA, mission.writeLoiterTime, mission.generateGrid, mission.writeReturnToLaunch] mission.writeWaypointFile(actions)

true

f73d45bb1ac18fafbdb84aa1438a166e3cb7f30c

3,727

py

Python

src/GameManager/gui/subscreen.py

maccam912/Oddyssey

a9d1eca9ea1dfabd9873eb842eae03f2ed83d405

[ "MIT" ]

null

src/GameManager/gui/subscreen.py

maccam912/Oddyssey

a9d1eca9ea1dfabd9873eb842eae03f2ed83d405

[ "MIT" ]

11

2017-03-12T13:59:21.000Z

2017-03-24T04:42:16.000Z

src/GameManager/gui/subscreen.py

maccam912/Oddyssey

a9d1eca9ea1dfabd9873eb842eae03f2ed83d405

[ "MIT" ]

null

import numpy as np class SubScreen(): def __init__(self, x, y, width, height, curses): self.x = x self.y = y self.width = width self.height = height self.curses = curses def put_char(self, x, y, char=' ', foreground='white', background='transparent'): if x < self.width and x >= self.x and y < self.height and y >= self.y: self.curses.put_char(self.x + x, self.y + y, char, foreground, background) else: raise ValueError('Error: Out of SubScreen boundary.') def put_message(self, x, y , message, foreground='white', background='transparent', auto=True, align='left'): self.curses.put_message(self.x + x, self.y + y , message, foreground, background, auto, align, box_x=self.x, box_y=self.y, box_width=self.width, box_height=self.height) def fill_char(self, char=' ', foreground='white', background='transparent'): for i in range(self.x, self.x + self.width): for j in range(self.y, self.y + self.height): self.curses.put_char(i, j, char, foreground, background) class MessageScreen(SubScreen): def __init__(self, x, y, width, height, curses): super(MessageScreen, self).__init__(x, y, width, height, curses) self.initialization() def initialization(self): self.message_id = 1 self.message_size = self.height self.message_storage = ['']*self.message_size self.color_storage = ['transparent']*self.message_size self.idx_storage = ['']*self.message_size def add_message(self, message, color='white'): idx = '[%d] '%(self.message_id) message = message self.message_id += 1 self.message_storage.append(message) self.color_storage.append(color) self.idx_storage.append(idx) self.message_storage.pop(0) self.color_storage.pop(0) self.idx_storage.pop(0) def draw(self): self.fill_char() for i in range(len(self.message_storage)): self.put_message(0, i, self.idx_storage[i], foreground='white', background='transparent', auto=True, align='left') self.put_message(len(self.idx_storage[i]), i , self.message_storage[i], foreground=self.color_storage[i], background='transparent', auto=True, align='left') class PlayerInfoScreen(SubScreen): def __init__(self, x, y, width, height, curses, player): super(PlayerInfoScreen, self).__init__(x, y, width, height, curses) self.player = player self.initialization() def initialization(self): self.full_health_bar_length = 15 self.draw() def draw(self): # Draw background self.fill_char(char='█', foreground='peru', background='transparent') # Draw HP bar health = self.player.current_health interval = self.player.health / self.full_health_bar_length / 3 level = int(np.ceil(health / interval)) health_title = 'HP ' if level % 3 == 0: remainder = '' elif level % 3 == 1: remainder = '░' elif level % 3 == 2: remainder = '▒' health_message = '█' * int((level - level%3)/3) + remainder self.put_message(0, 0, health_title, foreground='red', background='peru', auto=True, align='left') self.put_message(len(health_title), 0, ' '*self.full_health_bar_length, foreground='red', background='transparent', auto=True, align='left') self.put_message(len(health_title), 0, health_message, foreground='red', background='transparent', auto=True, align='left')

43.337209

176

0.611215

import numpy as np class SubScreen(): def __init__(self, x, y, width, height, curses): self.x = x self.y = y self.width = width self.height = height self.curses = curses def put_char(self, x, y, char=' ', foreground='white', background='transparent'): if x < self.width and x >= self.x and y < self.height and y >= self.y: self.curses.put_char(self.x + x, self.y + y, char, foreground, background) else: raise ValueError('Error: Out of SubScreen boundary.') def put_message(self, x, y , message, foreground='white', background='transparent', auto=True, align='left'): self.curses.put_message(self.x + x, self.y + y , message, foreground, background, auto, align, box_x=self.x, box_y=self.y, box_width=self.width, box_height=self.height) def fill_char(self, char=' ', foreground='white', background='transparent'): for i in range(self.x, self.x + self.width): for j in range(self.y, self.y + self.height): self.curses.put_char(i, j, char, foreground, background) class MessageScreen(SubScreen): def __init__(self, x, y, width, height, curses): super(MessageScreen, self).__init__(x, y, width, height, curses) self.initialization() def initialization(self): self.message_id = 1 self.message_size = self.height self.message_storage = ['']*self.message_size self.color_storage = ['transparent']*self.message_size self.idx_storage = ['']*self.message_size def add_message(self, message, color='white'): idx = '[%d] '%(self.message_id) message = message self.message_id += 1 self.message_storage.append(message) self.color_storage.append(color) self.idx_storage.append(idx) self.message_storage.pop(0) self.color_storage.pop(0) self.idx_storage.pop(0) def draw(self): self.fill_char() for i in range(len(self.message_storage)): self.put_message(0, i, self.idx_storage[i], foreground='white', background='transparent', auto=True, align='left') self.put_message(len(self.idx_storage[i]), i , self.message_storage[i], foreground=self.color_storage[i], background='transparent', auto=True, align='left') class PlayerInfoScreen(SubScreen): def __init__(self, x, y, width, height, curses, player): super(PlayerInfoScreen, self).__init__(x, y, width, height, curses) self.player = player self.initialization() def initialization(self): self.full_health_bar_length = 15 self.draw() def draw(self): self.fill_char(char='█', foreground='peru', background='transparent') health = self.player.current_health interval = self.player.health / self.full_health_bar_length / 3 level = int(np.ceil(health / interval)) health_title = 'HP ' if level % 3 == 0: remainder = '' elif level % 3 == 1: remainder = '░' elif level % 3 == 2: remainder = '▒' health_message = '█' * int((level - level%3)/3) + remainder self.put_message(0, 0, health_title, foreground='red', background='peru', auto=True, align='left') self.put_message(len(health_title), 0, ' '*self.full_health_bar_length, foreground='red', background='transparent', auto=True, align='left') self.put_message(len(health_title), 0, health_message, foreground='red', background='transparent', auto=True, align='left')

true

f73d464c30b19ff9737340f814e7fc6023b698ec

13,597

py

Python

src/oci/database/models/launch_db_system_from_db_system_details.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/database/models/launch_db_system_from_db_system_details.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

src/oci/database/models/launch_db_system_from_db_system_details.py

LaudateCorpus1/oci-python-sdk

b0d3ce629d5113df4d8b83b7a6502b2c5bfa3015

[ "Apache-2.0", "BSD-3-Clause" ]

null

# coding: utf-8 # Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. from .launch_db_system_base import LaunchDbSystemBase from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class LaunchDbSystemFromDbSystemDetails(LaunchDbSystemBase): """ Used for creating a new database system by cloning an existing DB system. """ #: A constant which can be used with the license_model property of a LaunchDbSystemFromDbSystemDetails. #: This constant has a value of "LICENSE_INCLUDED" LICENSE_MODEL_LICENSE_INCLUDED = "LICENSE_INCLUDED" #: A constant which can be used with the license_model property of a LaunchDbSystemFromDbSystemDetails. #: This constant has a value of "BRING_YOUR_OWN_LICENSE" LICENSE_MODEL_BRING_YOUR_OWN_LICENSE = "BRING_YOUR_OWN_LICENSE" def __init__(self, **kwargs): """ Initializes a new LaunchDbSystemFromDbSystemDetails object with values from keyword arguments. The default value of the :py:attr:`~oci.database.models.LaunchDbSystemFromDbSystemDetails.source` attribute of this class is ``DB_SYSTEM`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param compartment_id: The value to assign to the compartment_id property of this LaunchDbSystemFromDbSystemDetails. :type compartment_id: str :param fault_domains: The value to assign to the fault_domains property of this LaunchDbSystemFromDbSystemDetails. :type fault_domains: list[str] :param display_name: The value to assign to the display_name property of this LaunchDbSystemFromDbSystemDetails. :type display_name: str :param availability_domain: The value to assign to the availability_domain property of this LaunchDbSystemFromDbSystemDetails. :type availability_domain: str :param subnet_id: The value to assign to the subnet_id property of this LaunchDbSystemFromDbSystemDetails. :type subnet_id: str :param backup_subnet_id: The value to assign to the backup_subnet_id property of this LaunchDbSystemFromDbSystemDetails. :type backup_subnet_id: str :param nsg_ids: The value to assign to the nsg_ids property of this LaunchDbSystemFromDbSystemDetails. :type nsg_ids: list[str] :param backup_network_nsg_ids: The value to assign to the backup_network_nsg_ids property of this LaunchDbSystemFromDbSystemDetails. :type backup_network_nsg_ids: list[str] :param shape: The value to assign to the shape property of this LaunchDbSystemFromDbSystemDetails. :type shape: str :param time_zone: The value to assign to the time_zone property of this LaunchDbSystemFromDbSystemDetails. :type time_zone: str :param db_system_options: The value to assign to the db_system_options property of this LaunchDbSystemFromDbSystemDetails. :type db_system_options: oci.database.models.DbSystemOptions :param sparse_diskgroup: The value to assign to the sparse_diskgroup property of this LaunchDbSystemFromDbSystemDetails. :type sparse_diskgroup: bool :param ssh_public_keys: The value to assign to the ssh_public_keys property of this LaunchDbSystemFromDbSystemDetails. :type ssh_public_keys: list[str] :param hostname: The value to assign to the hostname property of this LaunchDbSystemFromDbSystemDetails. :type hostname: str :param domain: The value to assign to the domain property of this LaunchDbSystemFromDbSystemDetails. :type domain: str :param cpu_core_count: The value to assign to the cpu_core_count property of this LaunchDbSystemFromDbSystemDetails. :type cpu_core_count: int :param cluster_name: The value to assign to the cluster_name property of this LaunchDbSystemFromDbSystemDetails. :type cluster_name: str :param data_storage_percentage: The value to assign to the data_storage_percentage property of this LaunchDbSystemFromDbSystemDetails. :type data_storage_percentage: int :param initial_data_storage_size_in_gb: The value to assign to the initial_data_storage_size_in_gb property of this LaunchDbSystemFromDbSystemDetails. :type initial_data_storage_size_in_gb: int :param kms_key_id: The value to assign to the kms_key_id property of this LaunchDbSystemFromDbSystemDetails. :type kms_key_id: str :param kms_key_version_id: The value to assign to the kms_key_version_id property of this LaunchDbSystemFromDbSystemDetails. :type kms_key_version_id: str :param node_count: The value to assign to the node_count property of this LaunchDbSystemFromDbSystemDetails. :type node_count: int :param freeform_tags: The value to assign to the freeform_tags property of this LaunchDbSystemFromDbSystemDetails. :type freeform_tags: dict(str, str) :param defined_tags: The value to assign to the defined_tags property of this LaunchDbSystemFromDbSystemDetails. :type defined_tags: dict(str, dict(str, object)) :param source: The value to assign to the source property of this LaunchDbSystemFromDbSystemDetails. Allowed values for this property are: "NONE", "DB_BACKUP", "DATABASE", "DB_SYSTEM" :type source: str :param private_ip: The value to assign to the private_ip property of this LaunchDbSystemFromDbSystemDetails. :type private_ip: str :param source_db_system_id: The value to assign to the source_db_system_id property of this LaunchDbSystemFromDbSystemDetails. :type source_db_system_id: str :param db_home: The value to assign to the db_home property of this LaunchDbSystemFromDbSystemDetails. :type db_home: oci.database.models.CreateDbHomeFromDbSystemDetails :param license_model: The value to assign to the license_model property of this LaunchDbSystemFromDbSystemDetails. Allowed values for this property are: "LICENSE_INCLUDED", "BRING_YOUR_OWN_LICENSE" :type license_model: str """ self.swagger_types = { 'compartment_id': 'str', 'fault_domains': 'list[str]', 'display_name': 'str', 'availability_domain': 'str', 'subnet_id': 'str', 'backup_subnet_id': 'str', 'nsg_ids': 'list[str]', 'backup_network_nsg_ids': 'list[str]', 'shape': 'str', 'time_zone': 'str', 'db_system_options': 'DbSystemOptions', 'sparse_diskgroup': 'bool', 'ssh_public_keys': 'list[str]', 'hostname': 'str', 'domain': 'str', 'cpu_core_count': 'int', 'cluster_name': 'str', 'data_storage_percentage': 'int', 'initial_data_storage_size_in_gb': 'int', 'kms_key_id': 'str', 'kms_key_version_id': 'str', 'node_count': 'int', 'freeform_tags': 'dict(str, str)', 'defined_tags': 'dict(str, dict(str, object))', 'source': 'str', 'private_ip': 'str', 'source_db_system_id': 'str', 'db_home': 'CreateDbHomeFromDbSystemDetails', 'license_model': 'str' } self.attribute_map = { 'compartment_id': 'compartmentId', 'fault_domains': 'faultDomains', 'display_name': 'displayName', 'availability_domain': 'availabilityDomain', 'subnet_id': 'subnetId', 'backup_subnet_id': 'backupSubnetId', 'nsg_ids': 'nsgIds', 'backup_network_nsg_ids': 'backupNetworkNsgIds', 'shape': 'shape', 'time_zone': 'timeZone', 'db_system_options': 'dbSystemOptions', 'sparse_diskgroup': 'sparseDiskgroup', 'ssh_public_keys': 'sshPublicKeys', 'hostname': 'hostname', 'domain': 'domain', 'cpu_core_count': 'cpuCoreCount', 'cluster_name': 'clusterName', 'data_storage_percentage': 'dataStoragePercentage', 'initial_data_storage_size_in_gb': 'initialDataStorageSizeInGB', 'kms_key_id': 'kmsKeyId', 'kms_key_version_id': 'kmsKeyVersionId', 'node_count': 'nodeCount', 'freeform_tags': 'freeformTags', 'defined_tags': 'definedTags', 'source': 'source', 'private_ip': 'privateIp', 'source_db_system_id': 'sourceDbSystemId', 'db_home': 'dbHome', 'license_model': 'licenseModel' } self._compartment_id = None self._fault_domains = None self._display_name = None self._availability_domain = None self._subnet_id = None self._backup_subnet_id = None self._nsg_ids = None self._backup_network_nsg_ids = None self._shape = None self._time_zone = None self._db_system_options = None self._sparse_diskgroup = None self._ssh_public_keys = None self._hostname = None self._domain = None self._cpu_core_count = None self._cluster_name = None self._data_storage_percentage = None self._initial_data_storage_size_in_gb = None self._kms_key_id = None self._kms_key_version_id = None self._node_count = None self._freeform_tags = None self._defined_tags = None self._source = None self._private_ip = None self._source_db_system_id = None self._db_home = None self._license_model = None self._source = 'DB_SYSTEM' @property def source_db_system_id(self): """ **[Required]** Gets the source_db_system_id of this LaunchDbSystemFromDbSystemDetails. The `OCID`__ of the DB system. __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :return: The source_db_system_id of this LaunchDbSystemFromDbSystemDetails. :rtype: str """ return self._source_db_system_id @source_db_system_id.setter def source_db_system_id(self, source_db_system_id): """ Sets the source_db_system_id of this LaunchDbSystemFromDbSystemDetails. The `OCID`__ of the DB system. __ https://docs.cloud.oracle.com/Content/General/Concepts/identifiers.htm :param source_db_system_id: The source_db_system_id of this LaunchDbSystemFromDbSystemDetails. :type: str """ self._source_db_system_id = source_db_system_id @property def db_home(self): """ **[Required]** Gets the db_home of this LaunchDbSystemFromDbSystemDetails. :return: The db_home of this LaunchDbSystemFromDbSystemDetails. :rtype: oci.database.models.CreateDbHomeFromDbSystemDetails """ return self._db_home @db_home.setter def db_home(self, db_home): """ Sets the db_home of this LaunchDbSystemFromDbSystemDetails. :param db_home: The db_home of this LaunchDbSystemFromDbSystemDetails. :type: oci.database.models.CreateDbHomeFromDbSystemDetails """ self._db_home = db_home @property def license_model(self): """ Gets the license_model of this LaunchDbSystemFromDbSystemDetails. The Oracle license model that applies to all the databases on the DB system. The default is LICENSE_INCLUDED. Allowed values for this property are: "LICENSE_INCLUDED", "BRING_YOUR_OWN_LICENSE" :return: The license_model of this LaunchDbSystemFromDbSystemDetails. :rtype: str """ return self._license_model @license_model.setter def license_model(self, license_model): """ Sets the license_model of this LaunchDbSystemFromDbSystemDetails. The Oracle license model that applies to all the databases on the DB system. The default is LICENSE_INCLUDED. :param license_model: The license_model of this LaunchDbSystemFromDbSystemDetails. :type: str """ allowed_values = ["LICENSE_INCLUDED", "BRING_YOUR_OWN_LICENSE"] if not value_allowed_none_or_none_sentinel(license_model, allowed_values): raise ValueError( "Invalid value for `license_model`, must be None or one of {0}" .format(allowed_values) ) self._license_model = license_model def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

40.58806

245

0.667132

from .launch_db_system_base import LaunchDbSystemBase from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class LaunchDbSystemFromDbSystemDetails(LaunchDbSystemBase): LICENSE_MODEL_LICENSE_INCLUDED = "LICENSE_INCLUDED" LICENSE_MODEL_BRING_YOUR_OWN_LICENSE = "BRING_YOUR_OWN_LICENSE" def __init__(self, **kwargs): self.swagger_types = { 'compartment_id': 'str', 'fault_domains': 'list[str]', 'display_name': 'str', 'availability_domain': 'str', 'subnet_id': 'str', 'backup_subnet_id': 'str', 'nsg_ids': 'list[str]', 'backup_network_nsg_ids': 'list[str]', 'shape': 'str', 'time_zone': 'str', 'db_system_options': 'DbSystemOptions', 'sparse_diskgroup': 'bool', 'ssh_public_keys': 'list[str]', 'hostname': 'str', 'domain': 'str', 'cpu_core_count': 'int', 'cluster_name': 'str', 'data_storage_percentage': 'int', 'initial_data_storage_size_in_gb': 'int', 'kms_key_id': 'str', 'kms_key_version_id': 'str', 'node_count': 'int', 'freeform_tags': 'dict(str, str)', 'defined_tags': 'dict(str, dict(str, object))', 'source': 'str', 'private_ip': 'str', 'source_db_system_id': 'str', 'db_home': 'CreateDbHomeFromDbSystemDetails', 'license_model': 'str' } self.attribute_map = { 'compartment_id': 'compartmentId', 'fault_domains': 'faultDomains', 'display_name': 'displayName', 'availability_domain': 'availabilityDomain', 'subnet_id': 'subnetId', 'backup_subnet_id': 'backupSubnetId', 'nsg_ids': 'nsgIds', 'backup_network_nsg_ids': 'backupNetworkNsgIds', 'shape': 'shape', 'time_zone': 'timeZone', 'db_system_options': 'dbSystemOptions', 'sparse_diskgroup': 'sparseDiskgroup', 'ssh_public_keys': 'sshPublicKeys', 'hostname': 'hostname', 'domain': 'domain', 'cpu_core_count': 'cpuCoreCount', 'cluster_name': 'clusterName', 'data_storage_percentage': 'dataStoragePercentage', 'initial_data_storage_size_in_gb': 'initialDataStorageSizeInGB', 'kms_key_id': 'kmsKeyId', 'kms_key_version_id': 'kmsKeyVersionId', 'node_count': 'nodeCount', 'freeform_tags': 'freeformTags', 'defined_tags': 'definedTags', 'source': 'source', 'private_ip': 'privateIp', 'source_db_system_id': 'sourceDbSystemId', 'db_home': 'dbHome', 'license_model': 'licenseModel' } self._compartment_id = None self._fault_domains = None self._display_name = None self._availability_domain = None self._subnet_id = None self._backup_subnet_id = None self._nsg_ids = None self._backup_network_nsg_ids = None self._shape = None self._time_zone = None self._db_system_options = None self._sparse_diskgroup = None self._ssh_public_keys = None self._hostname = None self._domain = None self._cpu_core_count = None self._cluster_name = None self._data_storage_percentage = None self._initial_data_storage_size_in_gb = None self._kms_key_id = None self._kms_key_version_id = None self._node_count = None self._freeform_tags = None self._defined_tags = None self._source = None self._private_ip = None self._source_db_system_id = None self._db_home = None self._license_model = None self._source = 'DB_SYSTEM' @property def source_db_system_id(self): return self._source_db_system_id @source_db_system_id.setter def source_db_system_id(self, source_db_system_id): self._source_db_system_id = source_db_system_id @property def db_home(self): return self._db_home @db_home.setter def db_home(self, db_home): self._db_home = db_home @property def license_model(self): return self._license_model @license_model.setter def license_model(self, license_model): allowed_values = ["LICENSE_INCLUDED", "BRING_YOUR_OWN_LICENSE"] if not value_allowed_none_or_none_sentinel(license_model, allowed_values): raise ValueError( "Invalid value for `license_model`, must be None or one of {0}" .format(allowed_values) ) self._license_model = license_model def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other

true

f73d4675c3877f27d97fb71562c1364dc1cc2335

73

py

Python

atlasnet_v2/utils/__init__.py

RobinBaumann/TF-AtlasNetV2

32bd962407becacc9b9bee6c76c96216818e4c89

[ "MIT" ]

null

atlasnet_v2/utils/__init__.py

RobinBaumann/TF-AtlasNetV2

32bd962407becacc9b9bee6c76c96216818e4c89

[ "MIT" ]

null

atlasnet_v2/utils/__init__.py

RobinBaumann/TF-AtlasNetV2

32bd962407becacc9b9bee6c76c96216818e4c89

[ "MIT" ]

null

""" Created by Robin Baumann <mail@robin-baumann.com> at 08.06.20. """

12.166667

62

0.657534

true

f73d493ef3d013bb9c8f0413b28a3fe9217b9a28

362

py

Python

tweet/urls.py

ThatsSoMeta/NotTwitter

c9c1c04d204685aaeeb79d6a29167c374a7071d8

[ "MIT" ]

1

2021-03-08T18:32:59.000Z

tweet/urls.py

ThatsSoMeta/NotTwitter

c9c1c04d204685aaeeb79d6a29167c374a7071d8

[ "MIT" ]

null

tweet/urls.py

ThatsSoMeta/NotTwitter

c9c1c04d204685aaeeb79d6a29167c374a7071d8

[ "MIT" ]

null

from django.urls import path from .views import ( tweet_view, like_tweet, unlike_tweet, tweet_detail_view ) urlpatterns = [ path('', tweet_view, name='tweet'), path('<int:id>/', tweet_detail_view, name='tweet'), path('like/<int:tweet_id>/', like_tweet, name='like'), path('unlike/<int:tweet_id>/', unlike_tweet, name='unlike'), ]

25.857143

64

0.654696

from django.urls import path from .views import ( tweet_view, like_tweet, unlike_tweet, tweet_detail_view ) urlpatterns = [ path('', tweet_view, name='tweet'), path('<int:id>/', tweet_detail_view, name='tweet'), path('like/<int:tweet_id>/', like_tweet, name='like'), path('unlike/<int:tweet_id>/', unlike_tweet, name='unlike'), ]

true

f73d4a21e0337bacf46a3d78d23ef4a85ccce221

1,399

py

Python

sim2net/propagation/__init__.py

harikuts/dsr_optimization

796e58da578f7841a060233a8981eb69d92b798b

[ "MIT" ]

12

2018-06-17T05:29:35.000Z

2022-03-20T23:55:49.000Z

sim2net/propagation/__init__.py

harikuts/dsr_optimization

796e58da578f7841a060233a8981eb69d92b798b

[ "MIT" ]

2

2020-05-02T16:36:34.000Z

2021-03-12T17:40:02.000Z

sim2net/propagation/__init__.py

harikuts/dsr_optimization

796e58da578f7841a060233a8981eb69d92b798b

[ "MIT" ]

6

2015-09-09T00:00:22.000Z

2020-05-29T20:18:31.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # (c) 2012 Michal Kalewski <mkalewski at cs.put.poznan.pl> # # This file is a part of the Simple Network Simulator (sim2net) project. # USE, MODIFICATION, COPYING AND DISTRIBUTION OF THIS SOFTWARE IS SUBJECT TO # THE TERMS AND CONDITIONS OF THE MIT LICENSE. YOU SHOULD HAVE RECEIVED A COPY # OF THE MIT LICENSE ALONG WITH THIS SOFTWARE; IF NOT, YOU CAN DOWNLOAD A COPY # FROM HTTP://WWW.OPENSOURCE.ORG/. # # For bug reports, feature and support requests please visit # <https://github.com/mkalewski/sim2net/issues>. """ This package provides a collection of wireless signal propagation model classes. A wireless transmission may be distorted by many effects such as free-space loss, refraction, diffraction, reflection or absorption. Therefore, wireless propagation models describe the influence of environment on signal quality (mainly as a function of frequency, distance or other conditions) and calculate the **signal-to-noise ratio** (*SNR*) at the receiver. Then, it is assumed that if the SNR value is higher than some prescribed threshold, the signal can be received, and the packet that is carried by the signal can be successfully received if the receiving node remains connected in this way with the sending node at least for the duration of that packet transmission. """ __docformat__ = 'reStructuredText' __all__ = ['path_loss']

39.971429

79

0.772695

__docformat__ = 'reStructuredText' __all__ = ['path_loss']

true

f73d4a3d12fa46ae5bf514d98b31d99a0ff147e8

1,169

py

Python

test/test43_tf_official.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

null

test/test43_tf_official.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

1

2020-07-08T02:57:50.000Z

test/test43_tf_official.py

davidliyutong/Flint

4e2552dac8d781c21e8998ad68bbf1b986b09258

[ "MIT" ]

null

from models import Linear3 from core.Optimizers import sgd, bgd from core.Functions import one_hot_f import numpy as np from tensorflow import keras from core.Dataloader import batch_iterator def test(model, test_inputs, test_labels): num_of_sample = test_inputs.shape[0] cnt_correct, cnt_tot = 0, 0 for i in range(num_of_sample): test_input = test_inputs[i:i + 1] test_label = test_labels[i] res = model.forward_prop(test_input) if np.argmax(res) == np.argmax(test_label): cnt_correct += 1 cnt_tot += 1 return cnt_correct / cnt_tot fashion_mnist = keras.datasets.fashion_mnist (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() train_images = np.expand_dims(train_images / 255, axis=-1) test_images = np.expand_dims(test_images / 255, axis=-1) train_labels = one_hot_f(train_labels, num_classes=10) test_labels = one_hot_f(test_labels, num_classes=10) Linear3.compile() Linear3.cuda() train_iterator = batch_iterator(batch_sz=256) optimizer = bgd(0.01) optimizer.fit(Linear3, train_images, train_labels, train_iterator, epoch=50) Linear3.save('Linear3_cuda')

31.594595

84

0.746792

from models import Linear3 from core.Optimizers import sgd, bgd from core.Functions import one_hot_f import numpy as np from tensorflow import keras from core.Dataloader import batch_iterator def test(model, test_inputs, test_labels): num_of_sample = test_inputs.shape[0] cnt_correct, cnt_tot = 0, 0 for i in range(num_of_sample): test_input = test_inputs[i:i + 1] test_label = test_labels[i] res = model.forward_prop(test_input) if np.argmax(res) == np.argmax(test_label): cnt_correct += 1 cnt_tot += 1 return cnt_correct / cnt_tot fashion_mnist = keras.datasets.fashion_mnist (train_images, train_labels), (test_images, test_labels) = fashion_mnist.load_data() train_images = np.expand_dims(train_images / 255, axis=-1) test_images = np.expand_dims(test_images / 255, axis=-1) train_labels = one_hot_f(train_labels, num_classes=10) test_labels = one_hot_f(test_labels, num_classes=10) Linear3.compile() Linear3.cuda() train_iterator = batch_iterator(batch_sz=256) optimizer = bgd(0.01) optimizer.fit(Linear3, train_images, train_labels, train_iterator, epoch=50) Linear3.save('Linear3_cuda')

true

f73d4a7c66a667270b365b586bab3d27bc39b886

22,957

py

Python

google/ads/googleads/v7/services/services/bidding_strategy_service/client.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

[ "Apache-2.0" ]

285

2018-10-05T16:47:58.000Z

2022-03-31T00:58:39.000Z

google/ads/googleads/v7/services/services/bidding_strategy_service/client.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

[ "Apache-2.0" ]

425

2018-09-10T13:32:41.000Z

2022-03-31T14:50:05.000Z

google/ads/googleads/v7/services/services/bidding_strategy_service/client.py

wxxlouisa/google-ads-python

f24137966f6bfcb765a9b1fae79f2d23041825fe

[ "Apache-2.0" ]

369

2018-11-28T07:01:00.000Z

2022-03-28T09:53:22.000Z

# -*- coding: utf-8 -*- # Copyright 2020 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, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from collections import OrderedDict from distutils import util import os import re from typing import Dict, Optional, Sequence, Tuple, Type, Union from google.api_core import client_options as client_options_lib # type: ignore from google.api_core import exceptions # type: ignore from google.api_core import gapic_v1 # type: ignore from google.api_core import retry as retries # type: ignore from google.auth import credentials # type: ignore from google.auth.transport import mtls # type: ignore from google.auth.transport.grpc import SslCredentials # type: ignore from google.auth.exceptions import MutualTLSChannelError # type: ignore from google.oauth2 import service_account # type: ignore from google.ads.googleads.v7.resources.types import bidding_strategy from google.ads.googleads.v7.services.types import bidding_strategy_service from google.rpc import status_pb2 as status # type: ignore from .transports.base import ( BiddingStrategyServiceTransport, DEFAULT_CLIENT_INFO, ) from .transports.grpc import BiddingStrategyServiceGrpcTransport class BiddingStrategyServiceClientMeta(type): """Metaclass for the BiddingStrategyService client. This provides class-level methods for building and retrieving support objects (e.g. transport) without polluting the client instance objects. """ _transport_registry = ( OrderedDict() ) # type: Dict[str, Type[BiddingStrategyServiceTransport]] _transport_registry["grpc"] = BiddingStrategyServiceGrpcTransport def get_transport_class( cls, label: str = None, ) -> Type[BiddingStrategyServiceTransport]: """Return an appropriate transport class. Args: label: The name of the desired transport. If none is provided, then the first transport in the registry is used. Returns: The transport class to use. """ # If a specific transport is requested, return that one. if label: return cls._transport_registry[label] # No transport is requested; return the default (that is, the first one # in the dictionary). return next(iter(cls._transport_registry.values())) class BiddingStrategyServiceClient(metaclass=BiddingStrategyServiceClientMeta): """Service to manage bidding strategies.""" @staticmethod def _get_default_mtls_endpoint(api_endpoint): """Convert api endpoint to mTLS endpoint. Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. Args: api_endpoint (Optional[str]): the api endpoint to convert. Returns: str: converted mTLS api endpoint. """ if not api_endpoint: return api_endpoint mtls_endpoint_re = re.compile( r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?" ) m = mtls_endpoint_re.match(api_endpoint) name, mtls, sandbox, googledomain = m.groups() if mtls or not googledomain: return api_endpoint if sandbox: return api_endpoint.replace( "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" ) return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") DEFAULT_ENDPOINT = "googleads.googleapis.com" DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore DEFAULT_ENDPOINT ) @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): """Creates an instance of this client using the provided credentials info. Args: info (dict): The service account private key info. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: BiddingStrategyServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_info( info ) kwargs["credentials"] = credentials return cls(*args, **kwargs) @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): """Creates an instance of this client using the provided credentials file. Args: filename (str): The path to the service account private key json file. args: Additional arguments to pass to the constructor. kwargs: Additional arguments to pass to the constructor. Returns: BiddingStrategyServiceClient: The constructed client. """ credentials = service_account.Credentials.from_service_account_file( filename ) kwargs["credentials"] = credentials return cls(*args, **kwargs) from_service_account_json = from_service_account_file @property def transport(self) -> BiddingStrategyServiceTransport: """Return the transport used by the client instance. Returns: BiddingStrategyServiceTransport: The transport used by the client instance. """ return self._transport @staticmethod def bidding_strategy_path( customer_id: str, bidding_strategy_id: str, ) -> str: """Return a fully-qualified bidding_strategy string.""" return "customers/{customer_id}/biddingStrategies/{bidding_strategy_id}".format( customer_id=customer_id, bidding_strategy_id=bidding_strategy_id, ) @staticmethod def parse_bidding_strategy_path(path: str) -> Dict[str, str]: """Parse a bidding_strategy path into its component segments.""" m = re.match( r"^customers/(?P<customer_id>.+?)/biddingStrategies/(?P<bidding_strategy_id>.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def common_billing_account_path(billing_account: str,) -> str: """Return a fully-qualified billing_account string.""" return "billingAccounts/{billing_account}".format( billing_account=billing_account, ) @staticmethod def parse_common_billing_account_path(path: str) -> Dict[str, str]: """Parse a billing_account path into its component segments.""" m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_folder_path(folder: str,) -> str: """Return a fully-qualified folder string.""" return "folders/{folder}".format(folder=folder,) @staticmethod def parse_common_folder_path(path: str) -> Dict[str, str]: """Parse a folder path into its component segments.""" m = re.match(r"^folders/(?P<folder>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_organization_path(organization: str,) -> str: """Return a fully-qualified organization string.""" return "organizations/{organization}".format(organization=organization,) @staticmethod def parse_common_organization_path(path: str) -> Dict[str, str]: """Parse a organization path into its component segments.""" m = re.match(r"^organizations/(?P<organization>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_project_path(project: str,) -> str: """Return a fully-qualified project string.""" return "projects/{project}".format(project=project,) @staticmethod def parse_common_project_path(path: str) -> Dict[str, str]: """Parse a project path into its component segments.""" m = re.match(r"^projects/(?P<project>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_location_path(project: str, location: str,) -> str: """Return a fully-qualified location string.""" return "projects/{project}/locations/{location}".format( project=project, location=location, ) @staticmethod def parse_common_location_path(path: str) -> Dict[str, str]: """Parse a location path into its component segments.""" m = re.match( r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path ) return m.groupdict() if m else {} def __init__( self, *, credentials: Optional[credentials.Credentials] = None, transport: Union[str, BiddingStrategyServiceTransport, None] = None, client_options: Optional[client_options_lib.ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: """Instantiate the bidding strategy service client. Args: credentials (Optional[google.auth.credentials.Credentials]): The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. transport (Union[str, ~.BiddingStrategyServiceTransport]): The transport to use. If set to None, a transport is chosen automatically. client_options (google.api_core.client_options.ClientOptions): Custom options for the client. It won't take effect if a ``transport`` instance is provided. (1) The ``api_endpoint`` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the ``api_endpoint`` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the ``client_cert_source`` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. client_info (google.api_core.gapic_v1.client_info.ClientInfo): The client info used to send a user-agent string along with API requests. If ``None``, then default info will be used. Generally, you only need to set this if you're developing your own client library. Raises: google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport creation failed for any reason. """ if isinstance(client_options, dict): client_options = client_options_lib.from_dict(client_options) if client_options is None: client_options = client_options_lib.ClientOptions() # Create SSL credentials for mutual TLS if needed. use_client_cert = bool( util.strtobool( os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") ) ) ssl_credentials = None is_mtls = False if use_client_cert: if client_options.client_cert_source: import grpc # type: ignore cert, key = client_options.client_cert_source() ssl_credentials = grpc.ssl_channel_credentials( certificate_chain=cert, private_key=key ) is_mtls = True else: creds = SslCredentials() is_mtls = creds.is_mtls ssl_credentials = creds.ssl_credentials if is_mtls else None # Figure out which api endpoint to use. if client_options.api_endpoint is not None: api_endpoint = client_options.api_endpoint else: use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") if use_mtls_env == "never": api_endpoint = self.DEFAULT_ENDPOINT elif use_mtls_env == "always": api_endpoint = self.DEFAULT_MTLS_ENDPOINT elif use_mtls_env == "auto": api_endpoint = ( self.DEFAULT_MTLS_ENDPOINT if is_mtls else self.DEFAULT_ENDPOINT ) else: raise MutualTLSChannelError( "Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted values: never, auto, always" ) # Save or instantiate the transport. # Ordinarily, we provide the transport, but allowing a custom transport # instance provides an extensibility point for unusual situations. if isinstance(transport, BiddingStrategyServiceTransport): # transport is a BiddingStrategyServiceTransport instance. if credentials: raise ValueError( "When providing a transport instance, " "provide its credentials directly." ) self._transport = transport elif isinstance(transport, str): Transport = type(self).get_transport_class(transport) self._transport = Transport( credentials=credentials, host=self.DEFAULT_ENDPOINT ) else: self._transport = BiddingStrategyServiceGrpcTransport( credentials=credentials, host=api_endpoint, ssl_channel_credentials=ssl_credentials, client_info=client_info, ) def get_bidding_strategy( self, request: bidding_strategy_service.GetBiddingStrategyRequest = None, *, resource_name: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> bidding_strategy.BiddingStrategy: r"""Returns the requested bidding strategy in full detail. List of thrown errors: `AuthenticationError <>`__ `AuthorizationError <>`__ `HeaderError <>`__ `InternalError <>`__ `QuotaError <>`__ `RequestError <>`__ Args: request (:class:`google.ads.googleads.v7.services.types.GetBiddingStrategyRequest`): The request object. Request message for [BiddingStrategyService.GetBiddingStrategy][google.ads.googleads.v7.services.BiddingStrategyService.GetBiddingStrategy]. resource_name (:class:`str`): Required. The resource name of the bidding strategy to fetch. This corresponds to the ``resource_name`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.ads.googleads.v7.resources.types.BiddingStrategy: A bidding strategy. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. if request is not None and any([resource_name]): raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a bidding_strategy_service.GetBiddingStrategyRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance( request, bidding_strategy_service.GetBiddingStrategyRequest ): request = bidding_strategy_service.GetBiddingStrategyRequest( request ) # If we have keyword arguments corresponding to fields on the # request, apply these. if resource_name is not None: request.resource_name = resource_name # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.get_bidding_strategy ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("resource_name", request.resource_name),) ), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response def mutate_bidding_strategies( self, request: bidding_strategy_service.MutateBiddingStrategiesRequest = None, *, customer_id: str = None, operations: Sequence[ bidding_strategy_service.BiddingStrategyOperation ] = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> bidding_strategy_service.MutateBiddingStrategiesResponse: r"""Creates, updates, or removes bidding strategies. Operation statuses are returned. List of thrown errors: `AdxError <>`__ `AuthenticationError <>`__ `AuthorizationError <>`__ `BiddingError <>`__ `BiddingStrategyError <>`__ `ContextError <>`__ `DatabaseError <>`__ `DateError <>`__ `DistinctError <>`__ `FieldError <>`__ `FieldMaskError <>`__ `HeaderError <>`__ `IdError <>`__ `InternalError <>`__ `MutateError <>`__ `NewResourceCreationError <>`__ `NotEmptyError <>`__ `NullError <>`__ `OperationAccessDeniedError <>`__ `OperatorError <>`__ `QuotaError <>`__ `RangeError <>`__ `RequestError <>`__ `SizeLimitError <>`__ `StringFormatError <>`__ `StringLengthError <>`__ Args: request (:class:`google.ads.googleads.v7.services.types.MutateBiddingStrategiesRequest`): The request object. Request message for [BiddingStrategyService.MutateBiddingStrategies][google.ads.googleads.v7.services.BiddingStrategyService.MutateBiddingStrategies]. customer_id (:class:`str`): Required. The ID of the customer whose bidding strategies are being modified. This corresponds to the ``customer_id`` field on the ``request`` instance; if ``request`` is provided, this should not be set. operations (:class:`Sequence[google.ads.googleads.v7.services.types.BiddingStrategyOperation]`): Required. The list of operations to perform on individual bidding strategies. This corresponds to the ``operations`` field on the ``request`` instance; if ``request`` is provided, this should not be set. retry (google.api_core.retry.Retry): Designation of what errors, if any, should be retried. timeout (float): The timeout for this request. metadata (Sequence[Tuple[str, str]]): Strings which should be sent along with the request as metadata. Returns: google.ads.googleads.v7.services.types.MutateBiddingStrategiesResponse: Response message for bidding strategy mutate. """ # Create or coerce a protobuf request object. # Sanity check: If we got a request object, we should *not* have # gotten any keyword arguments that map to the request. if request is not None and any([customer_id, operations]): raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) # Minor optimization to avoid making a copy if the user passes # in a bidding_strategy_service.MutateBiddingStrategiesRequest. # There's no risk of modifying the input as we've already verified # there are no flattened fields. if not isinstance( request, bidding_strategy_service.MutateBiddingStrategiesRequest ): request = bidding_strategy_service.MutateBiddingStrategiesRequest( request ) # If we have keyword arguments corresponding to fields on the # request, apply these. if customer_id is not None: request.customer_id = customer_id if operations is not None: request.operations = operations # Wrap the RPC method; this adds retry and timeout information, # and friendly error handling. rpc = self._transport._wrapped_methods[ self._transport.mutate_bidding_strategies ] # Certain fields should be provided within the metadata header; # add these here. metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("customer_id", request.customer_id),) ), ) # Send the request. response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) # Done; return the response. return response __all__ = ("BiddingStrategyServiceClient",)

41.588768

146

0.633271

from collections import OrderedDict from distutils import util import os import re from typing import Dict, Optional, Sequence, Tuple, Type, Union from google.api_core import client_options as client_options_lib from google.api_core import exceptions from google.api_core import gapic_v1 from google.api_core import retry as retries from google.auth import credentials from google.auth.transport import mtls from google.auth.transport.grpc import SslCredentials from google.auth.exceptions import MutualTLSChannelError from google.oauth2 import service_account from google.ads.googleads.v7.resources.types import bidding_strategy from google.ads.googleads.v7.services.types import bidding_strategy_service from google.rpc import status_pb2 as status from .transports.base import ( BiddingStrategyServiceTransport, DEFAULT_CLIENT_INFO, ) from .transports.grpc import BiddingStrategyServiceGrpcTransport class BiddingStrategyServiceClientMeta(type): _transport_registry = ( OrderedDict() ) _transport_registry["grpc"] = BiddingStrategyServiceGrpcTransport def get_transport_class( cls, label: str = None, ) -> Type[BiddingStrategyServiceTransport]: if label: return cls._transport_registry[label] return next(iter(cls._transport_registry.values())) class BiddingStrategyServiceClient(metaclass=BiddingStrategyServiceClientMeta): @staticmethod def _get_default_mtls_endpoint(api_endpoint): if not api_endpoint: return api_endpoint mtls_endpoint_re = re.compile( r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?" ) m = mtls_endpoint_re.match(api_endpoint) name, mtls, sandbox, googledomain = m.groups() if mtls or not googledomain: return api_endpoint if sandbox: return api_endpoint.replace( "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" ) return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") DEFAULT_ENDPOINT = "googleads.googleapis.com" DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( DEFAULT_ENDPOINT ) @classmethod def from_service_account_info(cls, info: dict, *args, **kwargs): credentials = service_account.Credentials.from_service_account_info( info ) kwargs["credentials"] = credentials return cls(*args, **kwargs) @classmethod def from_service_account_file(cls, filename: str, *args, **kwargs): credentials = service_account.Credentials.from_service_account_file( filename ) kwargs["credentials"] = credentials return cls(*args, **kwargs) from_service_account_json = from_service_account_file @property def transport(self) -> BiddingStrategyServiceTransport: return self._transport @staticmethod def bidding_strategy_path( customer_id: str, bidding_strategy_id: str, ) -> str: return "customers/{customer_id}/biddingStrategies/{bidding_strategy_id}".format( customer_id=customer_id, bidding_strategy_id=bidding_strategy_id, ) @staticmethod def parse_bidding_strategy_path(path: str) -> Dict[str, str]: m = re.match( r"^customers/(?P<customer_id>.+?)/biddingStrategies/(?P<bidding_strategy_id>.+?)$", path, ) return m.groupdict() if m else {} @staticmethod def common_billing_account_path(billing_account: str,) -> str: return "billingAccounts/{billing_account}".format( billing_account=billing_account, ) @staticmethod def parse_common_billing_account_path(path: str) -> Dict[str, str]: m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_folder_path(folder: str,) -> str: return "folders/{folder}".format(folder=folder,) @staticmethod def parse_common_folder_path(path: str) -> Dict[str, str]: m = re.match(r"^folders/(?P<folder>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_organization_path(organization: str,) -> str: return "organizations/{organization}".format(organization=organization,) @staticmethod def parse_common_organization_path(path: str) -> Dict[str, str]: m = re.match(r"^organizations/(?P<organization>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_project_path(project: str,) -> str: return "projects/{project}".format(project=project,) @staticmethod def parse_common_project_path(path: str) -> Dict[str, str]: m = re.match(r"^projects/(?P<project>.+?)$", path) return m.groupdict() if m else {} @staticmethod def common_location_path(project: str, location: str,) -> str: return "projects/{project}/locations/{location}".format( project=project, location=location, ) @staticmethod def parse_common_location_path(path: str) -> Dict[str, str]: m = re.match( r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path ) return m.groupdict() if m else {} def __init__( self, *, credentials: Optional[credentials.Credentials] = None, transport: Union[str, BiddingStrategyServiceTransport, None] = None, client_options: Optional[client_options_lib.ClientOptions] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, ) -> None: if isinstance(client_options, dict): client_options = client_options_lib.from_dict(client_options) if client_options is None: client_options = client_options_lib.ClientOptions() use_client_cert = bool( util.strtobool( os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") ) ) ssl_credentials = None is_mtls = False if use_client_cert: if client_options.client_cert_source: import grpc cert, key = client_options.client_cert_source() ssl_credentials = grpc.ssl_channel_credentials( certificate_chain=cert, private_key=key ) is_mtls = True else: creds = SslCredentials() is_mtls = creds.is_mtls ssl_credentials = creds.ssl_credentials if is_mtls else None if client_options.api_endpoint is not None: api_endpoint = client_options.api_endpoint else: use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") if use_mtls_env == "never": api_endpoint = self.DEFAULT_ENDPOINT elif use_mtls_env == "always": api_endpoint = self.DEFAULT_MTLS_ENDPOINT elif use_mtls_env == "auto": api_endpoint = ( self.DEFAULT_MTLS_ENDPOINT if is_mtls else self.DEFAULT_ENDPOINT ) else: raise MutualTLSChannelError( "Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted values: never, auto, always" ) if isinstance(transport, BiddingStrategyServiceTransport): if credentials: raise ValueError( "When providing a transport instance, " "provide its credentials directly." ) self._transport = transport elif isinstance(transport, str): Transport = type(self).get_transport_class(transport) self._transport = Transport( credentials=credentials, host=self.DEFAULT_ENDPOINT ) else: self._transport = BiddingStrategyServiceGrpcTransport( credentials=credentials, host=api_endpoint, ssl_channel_credentials=ssl_credentials, client_info=client_info, ) def get_bidding_strategy( self, request: bidding_strategy_service.GetBiddingStrategyRequest = None, *, resource_name: str = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> bidding_strategy.BiddingStrategy: if request is not None and any([resource_name]): raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) if not isinstance( request, bidding_strategy_service.GetBiddingStrategyRequest ): request = bidding_strategy_service.GetBiddingStrategyRequest( request ) if resource_name is not None: request.resource_name = resource_name rpc = self._transport._wrapped_methods[ self._transport.get_bidding_strategy ] metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("resource_name", request.resource_name),) ), ) response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) return response def mutate_bidding_strategies( self, request: bidding_strategy_service.MutateBiddingStrategiesRequest = None, *, customer_id: str = None, operations: Sequence[ bidding_strategy_service.BiddingStrategyOperation ] = None, retry: retries.Retry = gapic_v1.method.DEFAULT, timeout: float = None, metadata: Sequence[Tuple[str, str]] = (), ) -> bidding_strategy_service.MutateBiddingStrategiesResponse: if request is not None and any([customer_id, operations]): raise ValueError( "If the `request` argument is set, then none of " "the individual field arguments should be set." ) if not isinstance( request, bidding_strategy_service.MutateBiddingStrategiesRequest ): request = bidding_strategy_service.MutateBiddingStrategiesRequest( request ) if customer_id is not None: request.customer_id = customer_id if operations is not None: request.operations = operations rpc = self._transport._wrapped_methods[ self._transport.mutate_bidding_strategies ] metadata = tuple(metadata) + ( gapic_v1.routing_header.to_grpc_metadata( (("customer_id", request.customer_id),) ), ) response = rpc( request, retry=retry, timeout=timeout, metadata=metadata, ) return response __all__ = ("BiddingStrategyServiceClient",)

true

f73d4b482fd19575a1dadbb4b98d39c28bb1748b

2,428

py

Python

middleware.py

sesh/django-middleware

34715542c0fa2a85df9f888e8b448f100da7639b

[ "Unlicense" ]

null

middleware.py

sesh/django-middleware

34715542c0fa2a85df9f888e8b448f100da7639b

[ "Unlicense" ]

null

middleware.py

sesh/django-middleware

34715542c0fa2a85df9f888e8b448f100da7639b

[ "Unlicense" ]

null

""" This is free and unencumbered software released into the public domain. https://github.com/sesh/django-middleware """ import logging logger = logging.getLogger("django") def set_remote_addr(get_response): def middleware(request): request.META["REMOTE_ADDR"] = request.META.get( "HTTP_X_REAL_IP", request.META["REMOTE_ADDR"] ) response = get_response(request) return response return middleware def permissions_policy(get_response): def middleware(request): response = get_response(request) response.headers[ "Permissions-Policy" ] = "interest-cohort=(),microphone=(),camera=(),autoplay=()" return response return middleware def csp(get_response): def middleware(request): response = get_response(request) response.headers[ "Content-Security-Policy" ] = "default-src 'none'; script-src 'self'; style-src 'self'; img-src 'self'; child-src 'self'; form-action 'self'" return response return middleware def xss_protect(get_response): def middleware(request): response = get_response(request) response.headers["X-XSS-Protection"] = "1; mode=block" return response return middleware def expect_ct(get_response): def middleware(request): response = get_response(request) response.headers[ "Expect-CT" ] = 'enforce, max-age=30m' return response return middleware def cache(get_response): def middleware(request): response = get_response(request) if ( request.method in ["GET", "HEAD"] and "Cache-Control" not in response.headers ): response.headers["Cache-Control"] = "max-age=10" return response return middleware def corp_coop_coep(get_response): def middleware(request): response = get_response(request) response.headers["Cross-Origin-Resource-Policy"] = "same-origin" response.headers["Cross-Origin-Opener-Policy"] = "same-origin" response.headers["Cross-Origin-Embedder-Policy"] = "require-corp" return response return middleware def dns_prefetch(get_response): def middleware(request): response = get_response(request) response.headers["X-DNS-Prefetch-Control"] = "off" return response return middleware

25.291667

123

0.646211

import logging logger = logging.getLogger("django") def set_remote_addr(get_response): def middleware(request): request.META["REMOTE_ADDR"] = request.META.get( "HTTP_X_REAL_IP", request.META["REMOTE_ADDR"] ) response = get_response(request) return response return middleware def permissions_policy(get_response): def middleware(request): response = get_response(request) response.headers[ "Permissions-Policy" ] = "interest-cohort=(),microphone=(),camera=(),autoplay=()" return response return middleware def csp(get_response): def middleware(request): response = get_response(request) response.headers[ "Content-Security-Policy" ] = "default-src 'none'; script-src 'self'; style-src 'self'; img-src 'self'; child-src 'self'; form-action 'self'" return response return middleware def xss_protect(get_response): def middleware(request): response = get_response(request) response.headers["X-XSS-Protection"] = "1; mode=block" return response return middleware def expect_ct(get_response): def middleware(request): response = get_response(request) response.headers[ "Expect-CT" ] = 'enforce, max-age=30m' return response return middleware def cache(get_response): def middleware(request): response = get_response(request) if ( request.method in ["GET", "HEAD"] and "Cache-Control" not in response.headers ): response.headers["Cache-Control"] = "max-age=10" return response return middleware def corp_coop_coep(get_response): def middleware(request): response = get_response(request) response.headers["Cross-Origin-Resource-Policy"] = "same-origin" response.headers["Cross-Origin-Opener-Policy"] = "same-origin" response.headers["Cross-Origin-Embedder-Policy"] = "require-corp" return response return middleware def dns_prefetch(get_response): def middleware(request): response = get_response(request) response.headers["X-DNS-Prefetch-Control"] = "off" return response return middleware

true

f73d4b5b57293171dab37f88fec8f771af568ea4

735

py

Python

swaggerpy/exception.py

bkbarry/swagger-py

381b6ab2ac64ee52148c2d99e7cd2e49e8b5addd

[ "BSD-3-Clause" ]

null

swaggerpy/exception.py

bkbarry/swagger-py

381b6ab2ac64ee52148c2d99e7cd2e49e8b5addd

[ "BSD-3-Clause" ]

null

swaggerpy/exception.py

bkbarry/swagger-py

381b6ab2ac64ee52148c2d99e7cd2e49e8b5addd

[ "BSD-3-Clause" ]

1

2021-03-29T08:07:59.000Z

#!/usr/bin/env python # # Copyright (c) 2014, Yelp, Inc. # class HTTPError(IOError): """Initialize HTTPError with 'response' and 'request' object """ def __init__(self, *args, **kwargs): response = kwargs.pop('response', None) self.response = response # populate request either from args or from response self.request = kwargs.pop('request', None) if(response is not None and not self.request and hasattr(response, 'request')): self.request = self.response.request super(HTTPError, self).__init__(*args, **kwargs) class CancelledError(): """Error raised when result() is called from HTTPFuture and call was actually cancelled """

28.269231

64

0.636735

class HTTPError(IOError): def __init__(self, *args, **kwargs): response = kwargs.pop('response', None) self.response = response self.request = kwargs.pop('request', None) if(response is not None and not self.request and hasattr(response, 'request')): self.request = self.response.request super(HTTPError, self).__init__(*args, **kwargs) class CancelledError():

true

f73d4b7b9eeeb895c85c373cde031cd8fcedefda

2,549

py

Python

fn_datatable_utils/tests/test_dt_utils_get_row.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

65

2017-12-04T13:58:32.000Z

2022-03-24T18:33:17.000Z

fn_datatable_utils/tests/test_dt_utils_get_row.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

48

2018-03-02T19:17:14.000Z

2022-03-09T22:00:38.000Z

fn_datatable_utils/tests/test_dt_utils_get_row.py

nickpartner-goahead/resilient-community-apps

097c0dbefddbd221b31149d82af9809420498134

[ "MIT" ]

95

2018-01-11T16:23:39.000Z

2022-03-21T11:34:29.000Z

# (c) Copyright IBM Corp. 2019. All Rights Reserved. # -*- coding: utf-8 -*- """Tests using pytest_resilient_circuits""" from __future__ import print_function import pytest from resilient_circuits.util import get_config_data, get_function_definition from resilient_circuits import SubmitTestFunction, FunctionResult from tests.test_helper import * PACKAGE_NAME = "fn_datatable_utils" FUNCTION_NAME = "dt_utils_get_row" # Read the default configuration-data section from the package config_data = get_config_data(PACKAGE_NAME) # Provide a simulation of the Resilient REST API (uncomment to connect to a real appliance) resilient_mock = DTResilientMock def call_dt_utils_get_row_function(circuits, function_params, timeout=10): # Fire a message to the function evt = SubmitTestFunction("dt_utils_get_row", function_params) circuits.manager.fire(evt) event = circuits.watcher.wait("dt_utils_get_row_result", parent=evt, timeout=timeout) assert event assert isinstance(event.kwargs["result"], FunctionResult) pytest.wait_for(event, "complete", True) return event.kwargs["result"].value class TestDtUtilsGetRow: """ Tests for the dt_utils_get_row function""" def test_function_definition(self): """ Test that the package provides customization_data that defines the function """ func = get_function_definition(PACKAGE_NAME, FUNCTION_NAME) assert func is not None inputs = { "incident_id": 1001, "dt_utils_datatable_api_name": "mock_data_table", "dt_utils_row_id": None, "dt_utils_search_column": "dt_col_email", "dt_utils_search_value": "joe@example.com" } output = { "success": True, "inputs": inputs, "row": { u'id': 1, u'cells': { u'dt_col_email': { u'id': u'dt_col_email', u'row_id': 1, u'value': u'joe@example.com' }, u'dt_col_id': { u'id': u'dt_col_id', u'row_id': 1, u'value': 3001 }, u'dt_col_name': {u'id': u'dt_col_name', u'row_id': 1, u'value': u'Joe Blogs' }, u'dt_col_status': {u'id': u'dt_col_status', u'row_id': 1, u'value': u'In Progress'} } } } @pytest.mark.parametrize("inputs, expected_results", [(inputs, output)]) def test_success(self, circuits_app, inputs, expected_results): """ Test calling with sample values for the parameters """ results = call_dt_utils_get_row_function(circuits_app, inputs) assert(expected_results == results)

37.485294

104

0.683798

from __future__ import print_function import pytest from resilient_circuits.util import get_config_data, get_function_definition from resilient_circuits import SubmitTestFunction, FunctionResult from tests.test_helper import * PACKAGE_NAME = "fn_datatable_utils" FUNCTION_NAME = "dt_utils_get_row" config_data = get_config_data(PACKAGE_NAME) resilient_mock = DTResilientMock def call_dt_utils_get_row_function(circuits, function_params, timeout=10): evt = SubmitTestFunction("dt_utils_get_row", function_params) circuits.manager.fire(evt) event = circuits.watcher.wait("dt_utils_get_row_result", parent=evt, timeout=timeout) assert event assert isinstance(event.kwargs["result"], FunctionResult) pytest.wait_for(event, "complete", True) return event.kwargs["result"].value class TestDtUtilsGetRow: def test_function_definition(self): func = get_function_definition(PACKAGE_NAME, FUNCTION_NAME) assert func is not None inputs = { "incident_id": 1001, "dt_utils_datatable_api_name": "mock_data_table", "dt_utils_row_id": None, "dt_utils_search_column": "dt_col_email", "dt_utils_search_value": "joe@example.com" } output = { "success": True, "inputs": inputs, "row": { u'id': 1, u'cells': { u'dt_col_email': { u'id': u'dt_col_email', u'row_id': 1, u'value': u'joe@example.com' }, u'dt_col_id': { u'id': u'dt_col_id', u'row_id': 1, u'value': 3001 }, u'dt_col_name': {u'id': u'dt_col_name', u'row_id': 1, u'value': u'Joe Blogs' }, u'dt_col_status': {u'id': u'dt_col_status', u'row_id': 1, u'value': u'In Progress'} } } } @pytest.mark.parametrize("inputs, expected_results", [(inputs, output)]) def test_success(self, circuits_app, inputs, expected_results): results = call_dt_utils_get_row_function(circuits_app, inputs) assert(expected_results == results)

true

f73d4c09c135a153cfe3787d0d0c6b2d28e44156

111

py

Python

mldato/timeseries.py

Ryanfras/mldato

34570412eb909c1d1c99b2a5ee15e7907aa1922b

[ "Apache-2.0" ]

null

mldato/timeseries.py

Ryanfras/mldato

34570412eb909c1d1c99b2a5ee15e7907aa1922b

[ "Apache-2.0" ]

2

2021-09-28T03:15:55.000Z

2022-02-26T08:19:41.000Z

mldato/timeseries.py

Ryanfras/mldato

34570412eb909c1d1c99b2a5ee15e7907aa1922b

[ "Apache-2.0" ]

null

# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/01_timeseries.ipynb (unless otherwise specified). __all__ = []

37

97

0.756757

__all__ = []

true

f73d4c3922ed02c72cc9a6d52ead9ac8b5941e6b

728

py

Python

tests/layers/test_reshape_layer.py

vishalbelsare/neupy

684313cdaddcad326f2169384fb15ec3aa29d991

[ "MIT" ]

null

tests/layers/test_reshape_layer.py

vishalbelsare/neupy

684313cdaddcad326f2169384fb15ec3aa29d991

[ "MIT" ]

null

tests/layers/test_reshape_layer.py

vishalbelsare/neupy

684313cdaddcad326f2169384fb15ec3aa29d991

[ "MIT" ]

null

import numpy as np from neupy import layers from base import BaseTestCase class ReshapeLayerTestCase(BaseTestCase): def test_reshape_layer_1d_shape(self): x = np.random.random((5, 4, 3, 2, 1)) input_layer = layers.Input((4, 3, 2, 1)) reshape_layer = layers.Reshape() input_layer > reshape_layer y = reshape_layer.output(x).eval() self.assertEqual(y.shape, (5, 4 * 3 * 2 * 1)) def test_reshape_layer_2d_shape(self): x = np.random.random((5, 20)) input_layer = layers.Input(20) reshape_layer = layers.Reshape((4, 5)) input_layer > reshape_layer y = reshape_layer.output(x).eval() self.assertEqual(y.shape, (5, 4, 5))

26

53

0.627747

import numpy as np from neupy import layers from base import BaseTestCase class ReshapeLayerTestCase(BaseTestCase): def test_reshape_layer_1d_shape(self): x = np.random.random((5, 4, 3, 2, 1)) input_layer = layers.Input((4, 3, 2, 1)) reshape_layer = layers.Reshape() input_layer > reshape_layer y = reshape_layer.output(x).eval() self.assertEqual(y.shape, (5, 4 * 3 * 2 * 1)) def test_reshape_layer_2d_shape(self): x = np.random.random((5, 20)) input_layer = layers.Input(20) reshape_layer = layers.Reshape((4, 5)) input_layer > reshape_layer y = reshape_layer.output(x).eval() self.assertEqual(y.shape, (5, 4, 5))

true

f73d4cb93984c1c76d35fe99d800d82e95c2535f

479

py

Python

djangoautoconf/log_utils/log_path_utils.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

djangoautoconf/log_utils/log_path_utils.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

djangoautoconf/log_utils/log_path_utils.py

weijia/djangoautoconf

590acfdcc6a3e051a2048ba1dbf980f908a7af91

[ "BSD-3-Clause" ]

null

import os from ufs_tools.folder_tool import ensure_dir def get_log_file_path(folder, log_file_name, ext=".log"): log_folder_relative_path = os.path.join('logs', folder) log_filename = '%s%s' % (log_file_name, ext) current_dir = os.path.join(os.getcwd()) folder_log_full_path = os.path.join(current_dir, log_folder_relative_path) log_full_path = os.path.join(folder_log_full_path, log_filename) ensure_dir(folder_log_full_path) return log_full_path

34.214286

78

0.762004

import os from ufs_tools.folder_tool import ensure_dir def get_log_file_path(folder, log_file_name, ext=".log"): log_folder_relative_path = os.path.join('logs', folder) log_filename = '%s%s' % (log_file_name, ext) current_dir = os.path.join(os.getcwd()) folder_log_full_path = os.path.join(current_dir, log_folder_relative_path) log_full_path = os.path.join(folder_log_full_path, log_filename) ensure_dir(folder_log_full_path) return log_full_path

true

f73d4d2f0ece1918c84c49ba7b4a5afc1b2d4427

946

py

Python

demos/helloworld/MainWindow.py

hsoft/xibless

a7393d28b4a31698869b2203d4d8b3398de1de7f

[ "BSD-3-Clause" ]

2

2016-09-13T12:34:34.000Z

2018-05-15T01:06:53.000Z

demos/helloworld/MainWindow.py

hsoft/xibless

a7393d28b4a31698869b2203d4d8b3398de1de7f

[ "BSD-3-Clause" ]

null

demos/helloworld/MainWindow.py

hsoft/xibless

a7393d28b4a31698869b2203d4d8b3398de1de7f

[ "BSD-3-Clause" ]

null

ownerclass = 'AppDelegate' ownerimport = 'AppDelegate.h' # Init result = Window(330, 110, "Tell me your name!") result.xProportion = 0.8 result.yProportion = 0.2 result.canResize = False nameLabel = Label(result, text="Name:") nameLabel.width = 45 nameField = TextField(result, text="") helloLabel = Label(result, text="") button = Button(result, title="Say Hello", action=Action(owner, 'sayHello')) button.keyEquivalent = "\\r" # Owner Assignments owner.nameField = nameField owner.helloLabel = helloLabel result.initialFirstResponder = nameField # Layout nameLabel.moveTo(Pack.UpperLeft) nameField.moveNextTo(nameLabel, Pack.Right, Pack.Middle) nameField.fill(Pack.Right) helloLabel.moveNextTo(nameLabel, Pack.Below, Pack.Left) helloLabel.fill(Pack.Right) button.moveNextTo(helloLabel, Pack.Below, Pack.Right) nameField.setAnchor(Pack.UpperLeft, growX=True) helloLabel.setAnchor(Pack.UpperLeft, growX=True) button.setAnchor(Pack.UpperRight)

30.516129

76

0.77907

ownerclass = 'AppDelegate' ownerimport = 'AppDelegate.h' result = Window(330, 110, "Tell me your name!") result.xProportion = 0.8 result.yProportion = 0.2 result.canResize = False nameLabel = Label(result, text="Name:") nameLabel.width = 45 nameField = TextField(result, text="") helloLabel = Label(result, text="") button = Button(result, title="Say Hello", action=Action(owner, 'sayHello')) button.keyEquivalent = "\\r" owner.nameField = nameField owner.helloLabel = helloLabel result.initialFirstResponder = nameField nameLabel.moveTo(Pack.UpperLeft) nameField.moveNextTo(nameLabel, Pack.Right, Pack.Middle) nameField.fill(Pack.Right) helloLabel.moveNextTo(nameLabel, Pack.Below, Pack.Left) helloLabel.fill(Pack.Right) button.moveNextTo(helloLabel, Pack.Below, Pack.Right) nameField.setAnchor(Pack.UpperLeft, growX=True) helloLabel.setAnchor(Pack.UpperLeft, growX=True) button.setAnchor(Pack.UpperRight)

true

f73d4d80f07db13a00172fc292bc7b7313bdd9c1

904

py

Python

tests/test.py

rojaster/mdec

6f338f8838003bab3bf9242063e2531bd5c8e2b4

[ "MIT" ]

null

tests/test.py

rojaster/mdec

6f338f8838003bab3bf9242063e2531bd5c8e2b4

[ "MIT" ]

null

tests/test.py

rojaster/mdec

6f338f8838003bab3bf9242063e2531bd5c8e2b4

[ "MIT" ]

null

#!/usr/bin/env python3 import unittest import subprocess import tempfile import requests import os TEST_ROOT = os.path.abspath(os.path.dirname(__file__)) class ServicesTest(unittest.TestCase): @staticmethod def _test_service(service_name: str, binary_path: str): print(f'Testing {service_name}') with open(binary_path, 'rb') as f: r = requests.post(f'http://127.0.0.1/{service_name}/decompile', files={'file': f}) if r.status_code != 200: r.raise_for_status() def test_all_services(self): with tempfile.TemporaryDirectory() as working_dir: src_path = os.path.join(TEST_ROOT, 'src', 'fib.c') bin_path = os.path.join(working_dir, 'fib') subprocess.run(['gcc', '-o', bin_path, src_path], check=True) for service_name in ['angr', 'reko', 'retdec', 'snowman']: self._test_service(service_name, bin_path) if __name__ == '__main__': unittest.main()

26.588235

66

0.700221

import unittest import subprocess import tempfile import requests import os TEST_ROOT = os.path.abspath(os.path.dirname(__file__)) class ServicesTest(unittest.TestCase): @staticmethod def _test_service(service_name: str, binary_path: str): print(f'Testing {service_name}') with open(binary_path, 'rb') as f: r = requests.post(f'http://127.0.0.1/{service_name}/decompile', files={'file': f}) if r.status_code != 200: r.raise_for_status() def test_all_services(self): with tempfile.TemporaryDirectory() as working_dir: src_path = os.path.join(TEST_ROOT, 'src', 'fib.c') bin_path = os.path.join(working_dir, 'fib') subprocess.run(['gcc', '-o', bin_path, src_path], check=True) for service_name in ['angr', 'reko', 'retdec', 'snowman']: self._test_service(service_name, bin_path) if __name__ == '__main__': unittest.main()

true

f73d4dba28d6b5df37f80d6f3e985f8afbf9b82a

22,809

py

Python

pint_server/app.py

SUSE-Enceladus/public-cloud-info-service

bd30aece9599189cd60dbff90c142b6b98cc4724

[ "Apache-2.0" ]

3

2018-10-15T03:08:18.000Z

2022-01-28T16:23:40.000Z

pint_server/app.py

SUSE-Enceladus/public-cloud-info-service

bd30aece9599189cd60dbff90c142b6b98cc4724

[ "Apache-2.0" ]

67

2019-01-05T02:49:12.000Z

2022-03-03T19:43:43.000Z

pint_server/app.py

SUSE-Enceladus/public-cloud-info-service

bd30aece9599189cd60dbff90c142b6b98cc4724

[ "Apache-2.0" ]

8

2019-01-07T08:42:06.000Z

2021-05-18T14:00:48.000Z

# Copyright (c) 2021 SUSE LLC # # This program is free software; you can redistribute it and/or # modify it under the terms of version 3 of the GNU General Public License as # published by the Free Software Foundation. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, contact SUSE LLC. # # To contact SUSE about this file by physical or electronic mail, # you may find current contact information at www.suse.com import datetime import re from decimal import Decimal from flask import (abort, Flask, jsonify, make_response, request, redirect, Response) from flask_cors import CORS from flask_sqlalchemy import SQLAlchemy from sqlalchemy import text, or_ from sqlalchemy.exc import DataError from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound from xml.dom import minidom import xml.etree.ElementTree as ET import pint_server from pint_server.database import init_db from pint_server.models import (ImageState, AmazonImagesModel, OracleImagesModel, AlibabaImagesModel, MicrosoftImagesModel, GoogleImagesModel, AmazonServersModel, MicrosoftServersModel, GoogleServersModel, ServerType, VersionsModel, MicrosoftRegionMapModel) app = Flask(__name__) db_session = init_db() cors_config = { "origins": ["*"] } CORS(app, resources={ r"/*": cors_config }) # we don't care about modifications as we are doing DB read only app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False null_to_empty = lambda s : s or '' REGIONSERVER_SMT_MAP = { 'smt': 'update', 'regionserver': 'region', 'regionserver-sap': 'region', 'regionserver-sles': 'region', 'update': 'update', 'region': 'region' } REGIONSERVER_SMT_REVERSED_MAP = { 'update': 'smt', 'region': 'regionserver' } PROVIDER_IMAGES_MODEL_MAP = { 'amazon': AmazonImagesModel, 'google': GoogleImagesModel, 'microsoft': MicrosoftImagesModel, 'alibaba': AlibabaImagesModel, 'oracle': OracleImagesModel } PROVIDER_SERVERS_MODEL_MAP = { 'amazon': AmazonServersModel, 'google': GoogleServersModel, 'microsoft': MicrosoftServersModel } PROVIDER_IMAGES_EXCLUDE_ATTRS = { 'microsoft': ['id'] } PROVIDER_SERVERS_EXCLUDE_ATTRS = { 'amazon': ['id'], 'google': ['id'], 'microsoft': ['id'] } SUPPORTED_CATEGORIES = ['images', 'servers'] def get_supported_providers(): versions = VersionsModel.query.with_entities(VersionsModel.tablename) return list({re.sub('(servers|images)', '', v.tablename) for v in versions}) def get_providers(): """Get all the providers""" return [{'name': provider} for provider in get_supported_providers()] def json_to_xml(json_obj, collection_name, element_name): if collection_name: root = ET.Element(collection_name) for dict in json_obj: ET.SubElement(root, element_name, dict) else: if element_name: root = ET.Element(element_name, json_obj) else: # NOTE(gyee): if neither collection_name and element_name are # specified, we assume the json_obj has a single key value pair # with key as the tag and value as the text tag = list(json_obj.keys())[0] root = ET.Element(tag) root.text = json_obj[tag] parsed = minidom.parseString( ET.tostring(root, encoding='utf8', method='xml')) return parsed.toprettyxml(indent=' ') def get_formatted_dict(obj, extra_attrs=None, exclude_attrs=None): obj_dict = {} for attr in obj.__dict__.keys(): # FIXME(gyee): the orignal Pint server does not return the "changeinfo" # or "urn" attribute if it's empty. So we'll need to do the same here. # IMHO, I consider that a bug in the original Pint server as we should # return all attributes regardless whether its empty or not. if attr.lower() in ['urn', 'changeinfo'] and not obj.__dict__[attr]: continue # NOTE: the "shape" attribute will be processed together with "type" # as it is internal only if attr.lower() == 'shape': continue if exclude_attrs and attr in exclude_attrs: continue elif attr[0] == '_': continue else: value = obj.__dict__[attr] if isinstance(value, Decimal): obj_dict[attr] = float(value) elif isinstance(value, ImageState): obj_dict[attr] = obj.state.value elif isinstance(value, ServerType): # NOTE(gyee): we need to reverse map the server type # to make it backward compatible if obj.__dict__['shape']: obj_dict[attr] = "%s-%s" % ( REGIONSERVER_SMT_REVERSED_MAP[obj.type.value], obj.__dict__['shape']) else: obj_dict[attr] = ( REGIONSERVER_SMT_REVERSED_MAP[obj.type.value]) elif isinstance(value, datetime.date): obj_dict[attr] = value.strftime('%Y%m%d') else: obj_dict[attr] = null_to_empty(value) if extra_attrs: obj_dict.update(extra_attrs) return obj_dict def get_mapped_server_type_for_provider(provider, server_type): if server_type not in REGIONSERVER_SMT_MAP: abort(Response('', status=404)) mapped_server_type = REGIONSERVER_SMT_MAP[server_type] if PROVIDER_SERVERS_MODEL_MAP.get(provider): server_types_json = get_provider_servers_types(provider) server_types = [t['name'] for t in server_types_json] if mapped_server_type not in server_types: abort(Response('', status=404)) return mapped_server_type def get_provider_servers_for_type(provider, server_type): servers = [] mapped_server_type = get_mapped_server_type_for_provider( provider, server_type) # NOTE(gyee): currently we don't have DB tables for both Alibaba and # Oracle servers. In order to maintain compatibility with the # existing Pint server, we are returning an empty list. if not PROVIDER_SERVERS_MODEL_MAP.get(provider): return servers servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].type == mapped_server_type) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_servers_types(provider): if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.distinct( PROVIDER_SERVERS_MODEL_MAP[provider].type) return [{'name': server.type.value} for server in servers] else: # NOTE(gyee): currently we don't have DB tables for both Alibaba and # Oracle servers. In order to maintain compatibility with the # existing Pint server, we are returning the original server # types. In the future, if we do decide to create the tables, # then we can easily add them to PROVIDER_SERVERS_MODEL_MAP. return [{'name': 'smt'}, {'name': 'regionserver'}] def get_provider_regions(provider): if provider == 'microsoft': return _get_all_azure_regions() servers = [] images = [] region_list = [] # Combination list if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.with_entities( PROVIDER_SERVERS_MODEL_MAP[provider].region).distinct( PROVIDER_SERVERS_MODEL_MAP[provider].region) if hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region'): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.with_entities( PROVIDER_IMAGES_MODEL_MAP[provider].region).distinct( PROVIDER_IMAGES_MODEL_MAP[provider].region) for server in servers: if server.region not in region_list: region_list.append(server.region) for image in images: if image.region not in region_list: region_list.append(image.region) return [{'name': r } for r in region_list] def _get_all_azure_regions(): regions = [] environments = MicrosoftRegionMapModel.query.all() for environment in environments: if environment.region not in regions: regions.append(environment.region) if environment.canonicalname not in regions: regions.append(environment.canonicalname) return [{'name': r } for r in sorted(regions)] def _get_azure_servers(region, server_type=None): # first lookup canonical name for the given region environment = MicrosoftRegionMapModel.query.filter( or_(MicrosoftRegionMapModel.region == region, MicrosoftRegionMapModel.canonicalname == region)).first() if not environment: abort(Response('', status=404)) # then get all the regions with the canonical name environments = MicrosoftRegionMapModel.query.filter( MicrosoftRegionMapModel.canonicalname == environment.canonicalname) # get all the possible names for the region all_regions = [] for environment in environments: if environment.region not in all_regions: all_regions.append(environment.region) # get all the severs for that region if server_type: mapped_server_type = get_mapped_server_type_for_provider( 'microsoft', server_type) servers = MicrosoftServersModel.query.filter( MicrosoftServersModel.type == mapped_server_type, MicrosoftServersModel.region.in_(all_regions)) else: servers = MicrosoftServersModel.query.filter( MicrosoftServersModel.region.in_(all_regions)) try: exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get('microsoft') return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] except DataError: abort(Response('', status=404)) def _get_azure_images_for_region_state(region, state): # first lookup the environment for the given region environment = MicrosoftRegionMapModel.query.filter( or_(MicrosoftRegionMapModel.region == region, MicrosoftRegionMapModel.canonicalname == region)).first() if not environment: abort(Response('', status=404)) # assume the environment is unique per region environment_name = environment.environment # now pull all the images that matches the environment and state if state is None: images = MicrosoftImagesModel.query.filter( MicrosoftImagesModel.environment == environment_name) else: images = MicrosoftImagesModel.query.filter( MicrosoftImagesModel.environment == environment_name, MicrosoftImagesModel.state == state) extra_attrs = {'region': region} exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get('microsoft') try: return [get_formatted_dict(image, extra_attrs=extra_attrs, exclude_attrs=exclude_attrs) for image in images] except DataError: abort(Response('', status=404)) def get_provider_images_for_region_and_state(provider, region, state): images = [] if provider == 'microsoft': return _get_azure_images_for_region_state(region, state) region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if state in ImageState.__members__ and region in region_names: if (hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region')): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].region == region, PROVIDER_IMAGES_MODEL_MAP[provider].state == state) else: images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].state == state) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] else: abort(Response('', status=404)) def get_provider_images_for_state(provider, state): if state in ImageState.__members__: images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].state == state) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_provider_servers_for_region(provider, region): servers = [] if provider == 'microsoft': return _get_azure_servers(region) region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].region == region) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_servers_for_region_and_type(provider, region, server_type): if provider == 'microsoft': return _get_azure_servers(region, server_type) servers = [] mapped_server_type = get_mapped_server_type_for_provider( provider, server_type) # NOTE(gyee): for Alibaba and Oracle where we don't have any servers, # we are returning an empty list to be backward compatible. if not PROVIDER_SERVERS_MODEL_MAP.get(provider): return servers region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].region == region, PROVIDER_SERVERS_MODEL_MAP[provider].type == mapped_server_type) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] else: abort(Response('', status=404)) def get_provider_images_for_region(provider, region): if provider == 'microsoft': return _get_azure_images_for_region_state(region, None) images = [] region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: if hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region'): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].region == region) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_provider_servers(provider): servers = [] if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.all() exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_images(provider): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.all() exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_data_version_for_provider_category(provider, category): tablename = provider + category try: version = VersionsModel.query.filter( VersionsModel.tablename == tablename).one() except (NoResultFound, MultipleResultsFound): # NOTE(gyee): we should never run into MultipleResultsFound exception # or otherse we have data corruption problem in the database. abort(Response('', status=404)) return {'version': str(version.version)} def assert_valid_provider(provider): provider = provider.lower() supported_providers = get_supported_providers() if provider not in supported_providers: abort(Response('', status=404)) def assert_valid_category(category): if category not in SUPPORTED_CATEGORIES: abort(Response('', status=400)) def make_response(content_dict, collection_name, element_name): if request.path.endswith('.xml'): return Response( json_to_xml(content_dict, collection_name, element_name), mimetype='application/xml;charset=utf-8') else: if collection_name: content = {collection_name: content_dict} else: content = content_dict return jsonify(**content) @app.route('/v1/providers', methods=['GET']) @app.route('/v1/providers.json', methods=['GET']) @app.route('/v1/providers.xml', methods=['GET']) def list_providers(): providers = get_providers() return make_response(providers, 'providers', 'provider') @app.route('/v1/<provider>/servers/types', methods=['GET']) @app.route('/v1/<provider>/servers/types.json', methods=['GET']) @app.route('/v1/<provider>/servers/types.xml', methods=['GET']) def list_provider_servers_types(provider): assert_valid_provider(provider) servers_types = get_provider_servers_types(provider) return make_response(servers_types, 'types', 'type') @app.route('/v1/images/states', methods=['GET']) @app.route('/v1/images/states.json', methods=['GET']) @app.route('/v1/images/states.xml', methods=['GET']) def list_images_states(): states = [] for attr in dir(ImageState): if attr[0] == '_': continue else: states.append({'name': attr}) return make_response(states, 'states', 'state') @app.route('/v1/<provider>/regions', methods=['GET']) @app.route('/v1/<provider>/regions.json', methods=['GET']) @app.route('/v1/<provider>/regions.xml', methods=['GET']) def list_provider_regions(provider): assert_valid_provider(provider) regions = get_provider_regions(provider) return make_response(regions, 'regions', 'region') @app.route('/v1/<provider>/<region>/servers/<server_type>', methods=['GET']) @app.route('/v1/<provider>/<region>/servers/<server_type>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/servers/<server_type>.xml', methods=['GET']) def list_servers_for_provider_region_and_type(provider, region, server_type): assert_valid_provider(provider) servers = get_provider_servers_for_region_and_type(provider, region, server_type) return make_response(servers, 'servers', 'server') @app.route('/v1/<provider>/servers/<server_type>', methods=['GET']) @app.route('/v1/<provider>/servers/<server_type>.json', methods=['GET']) @app.route('/v1/<provider>/servers/<server_type>.xml', methods=['GET']) def list_servers_for_provider_type(provider, server_type): assert_valid_provider(provider) servers = get_provider_servers_for_type(provider, server_type) return make_response(servers, 'servers', 'server') @app.route('/v1/<provider>/<region>/images/<state>', methods=['GET']) @app.route('/v1/<provider>/<region>/images/<state>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/images/<state>.xml', methods=['GET']) def list_images_for_provider_region_and_state(provider, region, state): assert_valid_provider(provider) images = get_provider_images_for_region_and_state(provider, region, state) return make_response(images, 'images', 'image') @app.route('/v1/<provider>/images/<state>', methods=['GET']) @app.route('/v1/<provider>/images/<state>.json', methods=['GET']) @app.route('/v1/<provider>/images/<state>.xml', methods=['GET']) def list_images_for_provider_state(provider, state): assert_valid_provider(provider) images = get_provider_images_for_state(provider, state) return make_response(images, 'images', 'image') @app.route('/v1/<provider>/<region>/<category>', methods=['GET']) @app.route('/v1/<provider>/<region>/<category>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/<category>.xml', methods=['GET']) def list_provider_resource_for_category(provider, region, category): assert_valid_provider(provider) assert_valid_category(category) resources = globals()['get_provider_%s_for_region' % (category)]( provider, region) return make_response(resources, category, category[:-1]) @app.route('/v1/<provider>/<category>', methods=['GET']) @app.route('/v1/<provider>/<category>.json', methods=['GET']) @app.route('/v1/<provider>/<category>.xml', methods=['GET']) def list_provider_resource(provider, category): assert_valid_provider(provider) assert_valid_category(category) resources = globals()['get_provider_%s' % (category)](provider) return make_response(resources, category, category[:-1]) @app.route('/v1/<provider>/dataversion', methods=['GET']) @app.route('/v1/<provider>/dataversion.json', methods=['GET']) @app.route('/v1/<provider>/dataversion.xml', methods=['GET']) def get_provider_category_data_version(provider): assert_valid_provider(provider) category = request.args.get('category') assert_valid_category(category) version = get_data_version_for_provider_category(provider, category) return make_response(version, None, None) @app.route('/package-version', methods=['GET']) def get_package_version(): return make_response( {'package version': pint_server.__VERSION__}, None, None) @app.route('/', methods=['GET']) def redirect_to_public_cloud(): #return redirect('https://www.suse.com/solutions/public-cloud/') headers = { 'Location': 'https://www.suse.com/solutions/public-cloud/', } return Response('', status=301, headers=headers) @app.route('/<path:path>') def catch_all(path): abort(Response('', status=400)) @app.teardown_appcontext def shutdown_session(exception=None): db_session.remove() if __name__ == '__main__': app.run()

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import datetime import re from decimal import Decimal from flask import (abort, Flask, jsonify, make_response, request, redirect, Response) from flask_cors import CORS from flask_sqlalchemy import SQLAlchemy from sqlalchemy import text, or_ from sqlalchemy.exc import DataError from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound from xml.dom import minidom import xml.etree.ElementTree as ET import pint_server from pint_server.database import init_db from pint_server.models import (ImageState, AmazonImagesModel, OracleImagesModel, AlibabaImagesModel, MicrosoftImagesModel, GoogleImagesModel, AmazonServersModel, MicrosoftServersModel, GoogleServersModel, ServerType, VersionsModel, MicrosoftRegionMapModel) app = Flask(__name__) db_session = init_db() cors_config = { "origins": ["*"] } CORS(app, resources={ r"/*": cors_config }) app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False null_to_empty = lambda s : s or '' REGIONSERVER_SMT_MAP = { 'smt': 'update', 'regionserver': 'region', 'regionserver-sap': 'region', 'regionserver-sles': 'region', 'update': 'update', 'region': 'region' } REGIONSERVER_SMT_REVERSED_MAP = { 'update': 'smt', 'region': 'regionserver' } PROVIDER_IMAGES_MODEL_MAP = { 'amazon': AmazonImagesModel, 'google': GoogleImagesModel, 'microsoft': MicrosoftImagesModel, 'alibaba': AlibabaImagesModel, 'oracle': OracleImagesModel } PROVIDER_SERVERS_MODEL_MAP = { 'amazon': AmazonServersModel, 'google': GoogleServersModel, 'microsoft': MicrosoftServersModel } PROVIDER_IMAGES_EXCLUDE_ATTRS = { 'microsoft': ['id'] } PROVIDER_SERVERS_EXCLUDE_ATTRS = { 'amazon': ['id'], 'google': ['id'], 'microsoft': ['id'] } SUPPORTED_CATEGORIES = ['images', 'servers'] def get_supported_providers(): versions = VersionsModel.query.with_entities(VersionsModel.tablename) return list({re.sub('(servers|images)', '', v.tablename) for v in versions}) def get_providers(): return [{'name': provider} for provider in get_supported_providers()] def json_to_xml(json_obj, collection_name, element_name): if collection_name: root = ET.Element(collection_name) for dict in json_obj: ET.SubElement(root, element_name, dict) else: if element_name: root = ET.Element(element_name, json_obj) else: # NOTE(gyee): if neither collection_name and element_name are # specified, we assume the json_obj has a single key value pair # with key as the tag and value as the text tag = list(json_obj.keys())[0] root = ET.Element(tag) root.text = json_obj[tag] parsed = minidom.parseString( ET.tostring(root, encoding='utf8', method='xml')) return parsed.toprettyxml(indent=' ') def get_formatted_dict(obj, extra_attrs=None, exclude_attrs=None): obj_dict = {} for attr in obj.__dict__.keys(): # FIXME(gyee): the orignal Pint server does not return the "changeinfo" # or "urn" attribute if it's empty. So we'll need to do the same here. # IMHO, I consider that a bug in the original Pint server as we should # return all attributes regardless whether its empty or not. if attr.lower() in ['urn', 'changeinfo'] and not obj.__dict__[attr]: continue # NOTE: the "shape" attribute will be processed together with "type" # as it is internal only if attr.lower() == 'shape': continue if exclude_attrs and attr in exclude_attrs: continue elif attr[0] == '_': continue else: value = obj.__dict__[attr] if isinstance(value, Decimal): obj_dict[attr] = float(value) elif isinstance(value, ImageState): obj_dict[attr] = obj.state.value elif isinstance(value, ServerType): # NOTE(gyee): we need to reverse map the server type # to make it backward compatible if obj.__dict__['shape']: obj_dict[attr] = "%s-%s" % ( REGIONSERVER_SMT_REVERSED_MAP[obj.type.value], obj.__dict__['shape']) else: obj_dict[attr] = ( REGIONSERVER_SMT_REVERSED_MAP[obj.type.value]) elif isinstance(value, datetime.date): obj_dict[attr] = value.strftime('%Y%m%d') else: obj_dict[attr] = null_to_empty(value) if extra_attrs: obj_dict.update(extra_attrs) return obj_dict def get_mapped_server_type_for_provider(provider, server_type): if server_type not in REGIONSERVER_SMT_MAP: abort(Response('', status=404)) mapped_server_type = REGIONSERVER_SMT_MAP[server_type] if PROVIDER_SERVERS_MODEL_MAP.get(provider): server_types_json = get_provider_servers_types(provider) server_types = [t['name'] for t in server_types_json] if mapped_server_type not in server_types: abort(Response('', status=404)) return mapped_server_type def get_provider_servers_for_type(provider, server_type): servers = [] mapped_server_type = get_mapped_server_type_for_provider( provider, server_type) # NOTE(gyee): currently we don't have DB tables for both Alibaba and if not PROVIDER_SERVERS_MODEL_MAP.get(provider): return servers servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].type == mapped_server_type) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_servers_types(provider): if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.distinct( PROVIDER_SERVERS_MODEL_MAP[provider].type) return [{'name': server.type.value} for server in servers] else: # Oracle servers. In order to maintain compatibility with the # existing Pint server, we are returning the original server # types. In the future, if we do decide to create the tables, # then we can easily add them to PROVIDER_SERVERS_MODEL_MAP. return [{'name': 'smt'}, {'name': 'regionserver'}] def get_provider_regions(provider): if provider == 'microsoft': return _get_all_azure_regions() servers = [] images = [] region_list = [] # Combination list if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.with_entities( PROVIDER_SERVERS_MODEL_MAP[provider].region).distinct( PROVIDER_SERVERS_MODEL_MAP[provider].region) if hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region'): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.with_entities( PROVIDER_IMAGES_MODEL_MAP[provider].region).distinct( PROVIDER_IMAGES_MODEL_MAP[provider].region) for server in servers: if server.region not in region_list: region_list.append(server.region) for image in images: if image.region not in region_list: region_list.append(image.region) return [{'name': r } for r in region_list] def _get_all_azure_regions(): regions = [] environments = MicrosoftRegionMapModel.query.all() for environment in environments: if environment.region not in regions: regions.append(environment.region) if environment.canonicalname not in regions: regions.append(environment.canonicalname) return [{'name': r } for r in sorted(regions)] def _get_azure_servers(region, server_type=None): # first lookup canonical name for the given region environment = MicrosoftRegionMapModel.query.filter( or_(MicrosoftRegionMapModel.region == region, MicrosoftRegionMapModel.canonicalname == region)).first() if not environment: abort(Response('', status=404)) # then get all the regions with the canonical name environments = MicrosoftRegionMapModel.query.filter( MicrosoftRegionMapModel.canonicalname == environment.canonicalname) # get all the possible names for the region all_regions = [] for environment in environments: if environment.region not in all_regions: all_regions.append(environment.region) # get all the severs for that region if server_type: mapped_server_type = get_mapped_server_type_for_provider( 'microsoft', server_type) servers = MicrosoftServersModel.query.filter( MicrosoftServersModel.type == mapped_server_type, MicrosoftServersModel.region.in_(all_regions)) else: servers = MicrosoftServersModel.query.filter( MicrosoftServersModel.region.in_(all_regions)) try: exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get('microsoft') return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] except DataError: abort(Response('', status=404)) def _get_azure_images_for_region_state(region, state): # first lookup the environment for the given region environment = MicrosoftRegionMapModel.query.filter( or_(MicrosoftRegionMapModel.region == region, MicrosoftRegionMapModel.canonicalname == region)).first() if not environment: abort(Response('', status=404)) # assume the environment is unique per region environment_name = environment.environment # now pull all the images that matches the environment and state if state is None: images = MicrosoftImagesModel.query.filter( MicrosoftImagesModel.environment == environment_name) else: images = MicrosoftImagesModel.query.filter( MicrosoftImagesModel.environment == environment_name, MicrosoftImagesModel.state == state) extra_attrs = {'region': region} exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get('microsoft') try: return [get_formatted_dict(image, extra_attrs=extra_attrs, exclude_attrs=exclude_attrs) for image in images] except DataError: abort(Response('', status=404)) def get_provider_images_for_region_and_state(provider, region, state): images = [] if provider == 'microsoft': return _get_azure_images_for_region_state(region, state) region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if state in ImageState.__members__ and region in region_names: if (hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region')): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].region == region, PROVIDER_IMAGES_MODEL_MAP[provider].state == state) else: images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].state == state) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] else: abort(Response('', status=404)) def get_provider_images_for_state(provider, state): if state in ImageState.__members__: images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].state == state) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_provider_servers_for_region(provider, region): servers = [] if provider == 'microsoft': return _get_azure_servers(region) region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].region == region) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_servers_for_region_and_type(provider, region, server_type): if provider == 'microsoft': return _get_azure_servers(region, server_type) servers = [] mapped_server_type = get_mapped_server_type_for_provider( provider, server_type) # NOTE(gyee): for Alibaba and Oracle where we don't have any servers, if not PROVIDER_SERVERS_MODEL_MAP.get(provider): return servers region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.filter( PROVIDER_SERVERS_MODEL_MAP[provider].region == region, PROVIDER_SERVERS_MODEL_MAP[provider].type == mapped_server_type) exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] else: abort(Response('', status=404)) def get_provider_images_for_region(provider, region): if provider == 'microsoft': return _get_azure_images_for_region_state(region, None) images = [] region_names = [] for each in get_provider_regions(provider): region_names.append(each['name']) if region in region_names: if hasattr(PROVIDER_IMAGES_MODEL_MAP[provider], 'region'): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.filter( PROVIDER_IMAGES_MODEL_MAP[provider].region == region) else: abort(Response('', status=404)) exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_provider_servers(provider): servers = [] if PROVIDER_SERVERS_MODEL_MAP.get(provider) != None: servers = PROVIDER_SERVERS_MODEL_MAP[provider].query.all() exclude_attrs = PROVIDER_SERVERS_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(server, exclude_attrs=exclude_attrs) for server in servers] def get_provider_images(provider): images = PROVIDER_IMAGES_MODEL_MAP[provider].query.all() exclude_attrs = PROVIDER_IMAGES_EXCLUDE_ATTRS.get(provider) return [get_formatted_dict(image, exclude_attrs=exclude_attrs) for image in images] def get_data_version_for_provider_category(provider, category): tablename = provider + category try: version = VersionsModel.query.filter( VersionsModel.tablename == tablename).one() except (NoResultFound, MultipleResultsFound): abort(Response('', status=404)) return {'version': str(version.version)} def assert_valid_provider(provider): provider = provider.lower() supported_providers = get_supported_providers() if provider not in supported_providers: abort(Response('', status=404)) def assert_valid_category(category): if category not in SUPPORTED_CATEGORIES: abort(Response('', status=400)) def make_response(content_dict, collection_name, element_name): if request.path.endswith('.xml'): return Response( json_to_xml(content_dict, collection_name, element_name), mimetype='application/xml;charset=utf-8') else: if collection_name: content = {collection_name: content_dict} else: content = content_dict return jsonify(**content) @app.route('/v1/providers', methods=['GET']) @app.route('/v1/providers.json', methods=['GET']) @app.route('/v1/providers.xml', methods=['GET']) def list_providers(): providers = get_providers() return make_response(providers, 'providers', 'provider') @app.route('/v1/<provider>/servers/types', methods=['GET']) @app.route('/v1/<provider>/servers/types.json', methods=['GET']) @app.route('/v1/<provider>/servers/types.xml', methods=['GET']) def list_provider_servers_types(provider): assert_valid_provider(provider) servers_types = get_provider_servers_types(provider) return make_response(servers_types, 'types', 'type') @app.route('/v1/images/states', methods=['GET']) @app.route('/v1/images/states.json', methods=['GET']) @app.route('/v1/images/states.xml', methods=['GET']) def list_images_states(): states = [] for attr in dir(ImageState): if attr[0] == '_': continue else: states.append({'name': attr}) return make_response(states, 'states', 'state') @app.route('/v1/<provider>/regions', methods=['GET']) @app.route('/v1/<provider>/regions.json', methods=['GET']) @app.route('/v1/<provider>/regions.xml', methods=['GET']) def list_provider_regions(provider): assert_valid_provider(provider) regions = get_provider_regions(provider) return make_response(regions, 'regions', 'region') @app.route('/v1/<provider>/<region>/servers/<server_type>', methods=['GET']) @app.route('/v1/<provider>/<region>/servers/<server_type>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/servers/<server_type>.xml', methods=['GET']) def list_servers_for_provider_region_and_type(provider, region, server_type): assert_valid_provider(provider) servers = get_provider_servers_for_region_and_type(provider, region, server_type) return make_response(servers, 'servers', 'server') @app.route('/v1/<provider>/servers/<server_type>', methods=['GET']) @app.route('/v1/<provider>/servers/<server_type>.json', methods=['GET']) @app.route('/v1/<provider>/servers/<server_type>.xml', methods=['GET']) def list_servers_for_provider_type(provider, server_type): assert_valid_provider(provider) servers = get_provider_servers_for_type(provider, server_type) return make_response(servers, 'servers', 'server') @app.route('/v1/<provider>/<region>/images/<state>', methods=['GET']) @app.route('/v1/<provider>/<region>/images/<state>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/images/<state>.xml', methods=['GET']) def list_images_for_provider_region_and_state(provider, region, state): assert_valid_provider(provider) images = get_provider_images_for_region_and_state(provider, region, state) return make_response(images, 'images', 'image') @app.route('/v1/<provider>/images/<state>', methods=['GET']) @app.route('/v1/<provider>/images/<state>.json', methods=['GET']) @app.route('/v1/<provider>/images/<state>.xml', methods=['GET']) def list_images_for_provider_state(provider, state): assert_valid_provider(provider) images = get_provider_images_for_state(provider, state) return make_response(images, 'images', 'image') @app.route('/v1/<provider>/<region>/<category>', methods=['GET']) @app.route('/v1/<provider>/<region>/<category>.json', methods=['GET']) @app.route('/v1/<provider>/<region>/<category>.xml', methods=['GET']) def list_provider_resource_for_category(provider, region, category): assert_valid_provider(provider) assert_valid_category(category) resources = globals()['get_provider_%s_for_region' % (category)]( provider, region) return make_response(resources, category, category[:-1]) @app.route('/v1/<provider>/<category>', methods=['GET']) @app.route('/v1/<provider>/<category>.json', methods=['GET']) @app.route('/v1/<provider>/<category>.xml', methods=['GET']) def list_provider_resource(provider, category): assert_valid_provider(provider) assert_valid_category(category) resources = globals()['get_provider_%s' % (category)](provider) return make_response(resources, category, category[:-1]) @app.route('/v1/<provider>/dataversion', methods=['GET']) @app.route('/v1/<provider>/dataversion.json', methods=['GET']) @app.route('/v1/<provider>/dataversion.xml', methods=['GET']) def get_provider_category_data_version(provider): assert_valid_provider(provider) category = request.args.get('category') assert_valid_category(category) version = get_data_version_for_provider_category(provider, category) return make_response(version, None, None) @app.route('/package-version', methods=['GET']) def get_package_version(): return make_response( {'package version': pint_server.__VERSION__}, None, None) @app.route('/', methods=['GET']) def redirect_to_public_cloud(): headers = { 'Location': 'https://www.suse.com/solutions/public-cloud/', } return Response('', status=301, headers=headers) @app.route('/<path:path>') def catch_all(path): abort(Response('', status=400)) @app.teardown_appcontext def shutdown_session(exception=None): db_session.remove() if __name__ == '__main__': app.run()

true

f73d4ea1bd14fc90ef6ba2ed40a68da5d006d904

129

py

Python

atest/resources/testlibs/ctrl_or_command.py

ishandutta2007/SeleniumLibrary

6b2748122b2af219d8247dab4b6db00d3c49e60d

[ "ECL-2.0", "Apache-2.0" ]

4

2018-03-22T11:27:57.000Z

2021-03-04T19:15:38.000Z

atest/resources/testlibs/ctrl_or_command.py

ishandutta2007/SeleniumLibrary

6b2748122b2af219d8247dab4b6db00d3c49e60d

[ "ECL-2.0", "Apache-2.0" ]

5

2018-12-03T17:01:30.000Z

2019-03-30T16:09:01.000Z

atest/resources/testlibs/ctrl_or_command.py

ishandutta2007/SeleniumLibrary

6b2748122b2af219d8247dab4b6db00d3c49e60d

[ "ECL-2.0", "Apache-2.0" ]

1

2018-01-23T16:11:55.000Z

import platform def ctrl_or_command_key(): if platform.system() == 'Darwin': return 'COMMAND' return 'CONTROL'

16.125

37

0.651163

import platform def ctrl_or_command_key(): if platform.system() == 'Darwin': return 'COMMAND' return 'CONTROL'

true

f73d4ee3470719281777538e66e70fed17adec9b

10,558

py

Python

pipeline_plugins/tests/components/collections/sites/open/monitor_test/alarm_shield/test_v1_1.py

wkma/bk-sops

8fb5609c0c4495c28d588fbafa9d9f5f2976929b

[ "Apache-2.0" ]

2

2021-07-28T01:48:31.000Z

2021-11-17T11:02:26.000Z

pipeline_plugins/tests/components/collections/sites/open/monitor_test/alarm_shield/test_v1_1.py

wkma/bk-sops

8fb5609c0c4495c28d588fbafa9d9f5f2976929b

[ "Apache-2.0" ]

null

pipeline_plugins/tests/components/collections/sites/open/monitor_test/alarm_shield/test_v1_1.py

wkma/bk-sops

8fb5609c0c4495c28d588fbafa9d9f5f2976929b

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://opensource.org/licenses/MIT Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from django.test import TestCase from mock import MagicMock from pipeline.component_framework.test import ( ComponentTestMixin, ComponentTestCase, CallAssertion, ExecuteAssertion, Call, Patcher, ) from pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1 import MonitorAlarmShieldComponent class MonitorAlarmShieldComponentTest(TestCase, ComponentTestMixin): def cases(self): return [ALTER_BILL_FAIL_CASE, ALTER_BILL_SUCCESS_CASE] def component_cls(self): return MonitorAlarmShieldComponent class MockClient(object): def __init__(self, add_shield_result=None): self.add_shield = MagicMock(return_value=add_shield_result) def __call__(self, *args, **kwargs): return self # mock path GET_CLIENT_BY_USER = "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1.BKMonitorClient" GET_MODULE_ID_LIST_BY_NAME = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_module_id_list_by_name" ) GET_SET_LIST = "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1.get_set_list" GET_LIST_BY_SELECTED_NAMES = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_list_by_selected_names" ) GET_SERVICE_TEMPLATE_LIST = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_service_template_list" ) GET_SERVICE_TEMPLATE_LIST_BY_NAMES = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_service_template_list_by_names" ) # mock client CREATE_SHIELD_FAIL_CLIENT = MockClient(add_shield_result={"result": False, "message": "create shield fail"}) CREATE_SHIELD_SUCCESS_CLIENT = MockClient(add_shield_result={"result": True, "data": {"id": "1"}, "message": "success"}) INPUT_DATA = { "bk_alarm_shield_info": { "bk_alarm_shield_scope": "node", "bk_alarm_shield_business": 2, "bk_alarm_shield_node": { "bk_set_method": "select", "bk_set_select": ["set_name1", "set_name2"], "bk_set_text": "", "bk_module_method": "select", "bk_module_select": ["module_name1", "module_name2", "module_name3"], "bk_module_text": "", }, "bk_alarm_shield_IP": "", }, "bk_alarm_shield_target": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], "bk_alarm_shield_begin_time": "2020-09-28 11:18:58", "bk_alarm_shield_end_time": "2020-09-28 11:18:58", "bk_alarm_time_type": "0", "bk_alarm_shield_duration": "0", } def get_set_list(username, bk_biz_id, bk_supplier_account, kwargs=None): set_list = [ {"bk_set_id": 2, "bk_set_name": "set_name1"}, {"bk_set_id": 3, "bk_set_name": "set_name2"}, {"bk_set_id": 4, "bk_set_name": "set_name3"}, {"bk_set_id": 5, "bk_set_name": "set_name4"}, ] return set_list def get_list_by_selected_names(set_names, set_list): selected_names = [{"bk_set_id": 2, "bk_set_name": "set_name1"}, {"bk_set_id": 3, "bk_set_name": "set_name2"}] return selected_names def get_service_template_list(username, bk_biz_id, bk_supplier_account): service_template_list = [ {"bk_biz_id": 2, "name": "module_name1", "service_category_id": 32, "id": 51}, {"bk_biz_id": 2, "name": "module_name2", "service_category_id": 32, "id": 50}, {"bk_biz_id": 2, "name": "module_name3", "service_category_id": 2, "id": 47}, {"bk_biz_id": 2, "name": "module_name4", "service_category_id": 2, "id": 46}, {"bk_biz_id": 2, "name": "module_name5", "service_category_id": 2, "id": 45}, ] return service_template_list def get_service_template_list_by_names(service_template_names, service_template_list): service_template_names_list = [ {"bk_biz_id": 2, "name": "module_name1", "service_category_id": 32, "id": 51}, {"bk_biz_id": 2, "name": "module_name2", "service_category_id": 32, "id": 50}, {"bk_biz_id": 2, "name": "module_name3", "service_category_id": 2, "id": 47}, {"bk_biz_id": 2, "name": "module_name4", "service_category_id": 2, "id": 46}, {"bk_biz_id": 2, "name": "module_name5", "service_category_id": 2, "id": 45}, ] return service_template_names_list def get_module_id_list_by_name(bk_biz_id, username, set_list, service_template_list): module_id = [1, 2, 3, 4, 5] return module_id # test case ALTER_BILL_FAIL_CASE = ComponentTestCase( name="create shield fail case", inputs=INPUT_DATA, parent_data={"executor": "executor", "biz_cc_id": 2}, execute_assertion=ExecuteAssertion( success=False, outputs={ "shield_id": "", "message": '调用监控平台(Monitor)接口monitor.create_shield返回失败, params={"begin_time":"2020-09-28 11:18:58",' '"bk_biz_id":2,"category":"scope","cycle_config":{"begin_time":"","end_time":"","day_list":[],' '"week_list":[],"type":1},"description":"shield by bk_sops","dimension_config":' '{"scope_type":"node","target":[{"bk_obj_id":"module","bk_inst_id":1},{"bk_obj_id":"module",' '"bk_inst_id":2},{"bk_obj_id":"module","bk_inst_id":3},{"bk_obj_id":"module","bk_inst_id":4},' '{"bk_obj_id":"module","bk_inst_id":5}],"metric_id":["bk_monitor.system.load.load5",' '"bk_monitor.system.cpu_summary.usage"]},"end_time":"2020-09-28 11:18:58","notice_config":{},' '"shield_notice":false}, error=create shield fail', }, ), schedule_assertion=None, execute_call_assertion=[ CallAssertion( func=CREATE_SHIELD_FAIL_CLIENT.add_shield, calls=[ Call( **{ "begin_time": "2020-09-28 11:18:58", "bk_biz_id": 2, "category": "scope", "cycle_config": {"begin_time": "", "end_time": "", "day_list": [], "week_list": [], "type": 1}, "description": "shield by bk_sops", "dimension_config": { "scope_type": "node", "target": [ {"bk_obj_id": "module", "bk_inst_id": 1}, {"bk_obj_id": "module", "bk_inst_id": 2}, {"bk_obj_id": "module", "bk_inst_id": 3}, {"bk_obj_id": "module", "bk_inst_id": 4}, {"bk_obj_id": "module", "bk_inst_id": 5}, ], "metric_id": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], }, "end_time": "2020-09-28 11:18:58", "notice_config": {}, "shield_notice": False, } ) ], ) ], patchers=[ Patcher(target=GET_CLIENT_BY_USER, return_value=CREATE_SHIELD_FAIL_CLIENT), Patcher(target=GET_SET_LIST, side_effect=get_set_list), Patcher(target=GET_LIST_BY_SELECTED_NAMES, side_effect=get_list_by_selected_names), Patcher(target=GET_SERVICE_TEMPLATE_LIST, side_effect=get_service_template_list), Patcher(target=GET_SERVICE_TEMPLATE_LIST_BY_NAMES, side_effect=get_service_template_list_by_names), Patcher(target=GET_MODULE_ID_LIST_BY_NAME, side_effect=get_module_id_list_by_name), ], ) ALTER_BILL_SUCCESS_CASE = ComponentTestCase( name="create shield success case", inputs=INPUT_DATA, parent_data={"executor": "executor", "biz_cc_id": 2}, execute_assertion=ExecuteAssertion(success=True, outputs={"shield_id": "1", "message": "success"}), schedule_assertion=None, execute_call_assertion=[ CallAssertion( func=CREATE_SHIELD_SUCCESS_CLIENT.add_shield, calls=[ Call( **{ "begin_time": "2020-09-28 11:18:58", "bk_biz_id": 2, "category": "scope", "cycle_config": {"begin_time": "", "end_time": "", "day_list": [], "week_list": [], "type": 1}, "description": "shield by bk_sops", "dimension_config": { "scope_type": "node", "target": [ {"bk_obj_id": "module", "bk_inst_id": 1}, {"bk_obj_id": "module", "bk_inst_id": 2}, {"bk_obj_id": "module", "bk_inst_id": 3}, {"bk_obj_id": "module", "bk_inst_id": 4}, {"bk_obj_id": "module", "bk_inst_id": 5}, ], "metric_id": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], }, "end_time": "2020-09-28 11:18:58", "notice_config": {}, "shield_notice": False, } ) ], ) ], patchers=[ Patcher(target=GET_CLIENT_BY_USER, return_value=CREATE_SHIELD_SUCCESS_CLIENT), Patcher(target=GET_SET_LIST, side_effect=get_set_list), Patcher(target=GET_LIST_BY_SELECTED_NAMES, side_effect=get_list_by_selected_names), Patcher(target=GET_SERVICE_TEMPLATE_LIST, side_effect=get_service_template_list), Patcher(target=GET_SERVICE_TEMPLATE_LIST_BY_NAMES, side_effect=get_service_template_list_by_names), Patcher(target=GET_MODULE_ID_LIST_BY_NAME, side_effect=get_module_id_list_by_name), ], )

45.119658

120

0.61612

from django.test import TestCase from mock import MagicMock from pipeline.component_framework.test import ( ComponentTestMixin, ComponentTestCase, CallAssertion, ExecuteAssertion, Call, Patcher, ) from pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1 import MonitorAlarmShieldComponent class MonitorAlarmShieldComponentTest(TestCase, ComponentTestMixin): def cases(self): return [ALTER_BILL_FAIL_CASE, ALTER_BILL_SUCCESS_CASE] def component_cls(self): return MonitorAlarmShieldComponent class MockClient(object): def __init__(self, add_shield_result=None): self.add_shield = MagicMock(return_value=add_shield_result) def __call__(self, *args, **kwargs): return self GET_CLIENT_BY_USER = "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1.BKMonitorClient" GET_MODULE_ID_LIST_BY_NAME = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_module_id_list_by_name" ) GET_SET_LIST = "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1.get_set_list" GET_LIST_BY_SELECTED_NAMES = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_list_by_selected_names" ) GET_SERVICE_TEMPLATE_LIST = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_service_template_list" ) GET_SERVICE_TEMPLATE_LIST_BY_NAMES = ( "pipeline_plugins.components.collections.sites.open.monitor.alarm_shield.v1_1" ".get_service_template_list_by_names" ) CREATE_SHIELD_FAIL_CLIENT = MockClient(add_shield_result={"result": False, "message": "create shield fail"}) CREATE_SHIELD_SUCCESS_CLIENT = MockClient(add_shield_result={"result": True, "data": {"id": "1"}, "message": "success"}) INPUT_DATA = { "bk_alarm_shield_info": { "bk_alarm_shield_scope": "node", "bk_alarm_shield_business": 2, "bk_alarm_shield_node": { "bk_set_method": "select", "bk_set_select": ["set_name1", "set_name2"], "bk_set_text": "", "bk_module_method": "select", "bk_module_select": ["module_name1", "module_name2", "module_name3"], "bk_module_text": "", }, "bk_alarm_shield_IP": "", }, "bk_alarm_shield_target": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], "bk_alarm_shield_begin_time": "2020-09-28 11:18:58", "bk_alarm_shield_end_time": "2020-09-28 11:18:58", "bk_alarm_time_type": "0", "bk_alarm_shield_duration": "0", } def get_set_list(username, bk_biz_id, bk_supplier_account, kwargs=None): set_list = [ {"bk_set_id": 2, "bk_set_name": "set_name1"}, {"bk_set_id": 3, "bk_set_name": "set_name2"}, {"bk_set_id": 4, "bk_set_name": "set_name3"}, {"bk_set_id": 5, "bk_set_name": "set_name4"}, ] return set_list def get_list_by_selected_names(set_names, set_list): selected_names = [{"bk_set_id": 2, "bk_set_name": "set_name1"}, {"bk_set_id": 3, "bk_set_name": "set_name2"}] return selected_names def get_service_template_list(username, bk_biz_id, bk_supplier_account): service_template_list = [ {"bk_biz_id": 2, "name": "module_name1", "service_category_id": 32, "id": 51}, {"bk_biz_id": 2, "name": "module_name2", "service_category_id": 32, "id": 50}, {"bk_biz_id": 2, "name": "module_name3", "service_category_id": 2, "id": 47}, {"bk_biz_id": 2, "name": "module_name4", "service_category_id": 2, "id": 46}, {"bk_biz_id": 2, "name": "module_name5", "service_category_id": 2, "id": 45}, ] return service_template_list def get_service_template_list_by_names(service_template_names, service_template_list): service_template_names_list = [ {"bk_biz_id": 2, "name": "module_name1", "service_category_id": 32, "id": 51}, {"bk_biz_id": 2, "name": "module_name2", "service_category_id": 32, "id": 50}, {"bk_biz_id": 2, "name": "module_name3", "service_category_id": 2, "id": 47}, {"bk_biz_id": 2, "name": "module_name4", "service_category_id": 2, "id": 46}, {"bk_biz_id": 2, "name": "module_name5", "service_category_id": 2, "id": 45}, ] return service_template_names_list def get_module_id_list_by_name(bk_biz_id, username, set_list, service_template_list): module_id = [1, 2, 3, 4, 5] return module_id ALTER_BILL_FAIL_CASE = ComponentTestCase( name="create shield fail case", inputs=INPUT_DATA, parent_data={"executor": "executor", "biz_cc_id": 2}, execute_assertion=ExecuteAssertion( success=False, outputs={ "shield_id": "", "message": '调用监控平台(Monitor)接口monitor.create_shield返回失败, params={"begin_time":"2020-09-28 11:18:58",' '"bk_biz_id":2,"category":"scope","cycle_config":{"begin_time":"","end_time":"","day_list":[],' '"week_list":[],"type":1},"description":"shield by bk_sops","dimension_config":' '{"scope_type":"node","target":[{"bk_obj_id":"module","bk_inst_id":1},{"bk_obj_id":"module",' '"bk_inst_id":2},{"bk_obj_id":"module","bk_inst_id":3},{"bk_obj_id":"module","bk_inst_id":4},' '{"bk_obj_id":"module","bk_inst_id":5}],"metric_id":["bk_monitor.system.load.load5",' '"bk_monitor.system.cpu_summary.usage"]},"end_time":"2020-09-28 11:18:58","notice_config":{},' '"shield_notice":false}, error=create shield fail', }, ), schedule_assertion=None, execute_call_assertion=[ CallAssertion( func=CREATE_SHIELD_FAIL_CLIENT.add_shield, calls=[ Call( **{ "begin_time": "2020-09-28 11:18:58", "bk_biz_id": 2, "category": "scope", "cycle_config": {"begin_time": "", "end_time": "", "day_list": [], "week_list": [], "type": 1}, "description": "shield by bk_sops", "dimension_config": { "scope_type": "node", "target": [ {"bk_obj_id": "module", "bk_inst_id": 1}, {"bk_obj_id": "module", "bk_inst_id": 2}, {"bk_obj_id": "module", "bk_inst_id": 3}, {"bk_obj_id": "module", "bk_inst_id": 4}, {"bk_obj_id": "module", "bk_inst_id": 5}, ], "metric_id": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], }, "end_time": "2020-09-28 11:18:58", "notice_config": {}, "shield_notice": False, } ) ], ) ], patchers=[ Patcher(target=GET_CLIENT_BY_USER, return_value=CREATE_SHIELD_FAIL_CLIENT), Patcher(target=GET_SET_LIST, side_effect=get_set_list), Patcher(target=GET_LIST_BY_SELECTED_NAMES, side_effect=get_list_by_selected_names), Patcher(target=GET_SERVICE_TEMPLATE_LIST, side_effect=get_service_template_list), Patcher(target=GET_SERVICE_TEMPLATE_LIST_BY_NAMES, side_effect=get_service_template_list_by_names), Patcher(target=GET_MODULE_ID_LIST_BY_NAME, side_effect=get_module_id_list_by_name), ], ) ALTER_BILL_SUCCESS_CASE = ComponentTestCase( name="create shield success case", inputs=INPUT_DATA, parent_data={"executor": "executor", "biz_cc_id": 2}, execute_assertion=ExecuteAssertion(success=True, outputs={"shield_id": "1", "message": "success"}), schedule_assertion=None, execute_call_assertion=[ CallAssertion( func=CREATE_SHIELD_SUCCESS_CLIENT.add_shield, calls=[ Call( **{ "begin_time": "2020-09-28 11:18:58", "bk_biz_id": 2, "category": "scope", "cycle_config": {"begin_time": "", "end_time": "", "day_list": [], "week_list": [], "type": 1}, "description": "shield by bk_sops", "dimension_config": { "scope_type": "node", "target": [ {"bk_obj_id": "module", "bk_inst_id": 1}, {"bk_obj_id": "module", "bk_inst_id": 2}, {"bk_obj_id": "module", "bk_inst_id": 3}, {"bk_obj_id": "module", "bk_inst_id": 4}, {"bk_obj_id": "module", "bk_inst_id": 5}, ], "metric_id": ["bk_monitor.system.load.load5", "bk_monitor.system.cpu_summary.usage"], }, "end_time": "2020-09-28 11:18:58", "notice_config": {}, "shield_notice": False, } ) ], ) ], patchers=[ Patcher(target=GET_CLIENT_BY_USER, return_value=CREATE_SHIELD_SUCCESS_CLIENT), Patcher(target=GET_SET_LIST, side_effect=get_set_list), Patcher(target=GET_LIST_BY_SELECTED_NAMES, side_effect=get_list_by_selected_names), Patcher(target=GET_SERVICE_TEMPLATE_LIST, side_effect=get_service_template_list), Patcher(target=GET_SERVICE_TEMPLATE_LIST_BY_NAMES, side_effect=get_service_template_list_by_names), Patcher(target=GET_MODULE_ID_LIST_BY_NAME, side_effect=get_module_id_list_by_name), ], )

true

f73d5082685750c6314f78e71043c8357cb4f17b

4,912

py

Python

env/lib/python3.7/genericpath.py

JacobMiske/nuclear-database-APIs

bc9fb6afb9aa0d98dde5d744d8f22b2791597e78

[ "MIT" ]

null

env/lib/python3.7/genericpath.py

JacobMiske/nuclear-database-APIs

bc9fb6afb9aa0d98dde5d744d8f22b2791597e78

[ "MIT" ]

null

env/lib/python3.7/genericpath.py

JacobMiske/nuclear-database-APIs

bc9fb6afb9aa0d98dde5d744d8f22b2791597e78

[ "MIT" ]

1

2020-05-01T20:23:35.000Z

""" Path operations common to more than one OS Do not use directly. The OS specific modules import the appropriate functions from this module themselves. """ import os import stat __all__ = ['commonprefix', 'exists', 'getatime', 'getctime', 'getmtime', 'getsize', 'isdir', 'isfile', 'samefile', 'sameopenfile', 'samestat'] # Does a path exist? # This is false for dangling symbolic links on systems that support them. def exists(path): """Test whether a path exists. Returns False for broken symbolic links""" try: os.stat(path) except OSError: return False return True # This follows symbolic links, so both islink() and isdir() can be true # for the same path on systems that support symlinks def isfile(path): """Test whether a path is a regular file""" try: st = os.stat(path) except OSError: return False return stat.S_ISREG(st.st_mode) # Is a path a directory? # This follows symbolic links, so both islink() and isdir() # can be true for the same path on systems that support symlinks def isdir(s): """Return true if the pathname refers to an existing directory.""" try: st = os.stat(s) except OSError: return False return stat.S_ISDIR(st.st_mode) def getsize(filename): """Return the size of a file, reported by os.stat().""" return os.stat(filename).st_size def getmtime(filename): """Return the last modification time of a file, reported by os.stat().""" return os.stat(filename).st_mtime def getatime(filename): """Return the last access time of a file, reported by os.stat().""" return os.stat(filename).st_atime def getctime(filename): """Return the metadata change time of a file, reported by os.stat().""" return os.stat(filename).st_ctime # Return the longest prefix of all list elements. def commonprefix(m): "Given a list of pathnames, returns the longest common leading component" if not m: return '' # Some people pass in a list of pathname parts to operate in an OS-agnostic # fashion; don't try to translate in that case as that's an abuse of the # src and they are already doing what they need to be OS-agnostic and so # they most likely won't be using an os.PathLike object in the sublists. if not isinstance(m[0], (list, tuple)): m = tuple(map(os.fspath, m)) s1 = min(m) s2 = max(m) for i, c in enumerate(s1): if c != s2[i]: return s1[:i] return s1 # Are two stat buffers (obtained from stat, fstat or lstat) # describing the same file? def samestat(s1, s2): """Test whether two stat buffers reference the same file""" return (s1.st_ino == s2.st_ino and s1.st_dev == s2.st_dev) # Are two filenames really pointing to the same file? def samefile(f1, f2): """Test whether two pathnames reference the same actual file or directory This is determined by the device number and i-node number and raises an exception if an os.stat() call on either pathname fails. """ s1 = os.stat(f1) s2 = os.stat(f2) return samestat(s1, s2) # Are two open files really referencing the same file? # (Not necessarily the same file descriptor!) def sameopenfile(fp1, fp2): """Test whether two open file objects reference the same file""" s1 = os.fstat(fp1) s2 = os.fstat(fp2) return samestat(s1, s2) # Split a path in root and extension. # The extension is everything starting at the last dot in the last # pathname component; the root is everything before that. # It is always true that root + ext == p. # Generic implementation of splitext, to be parametrized with # the separators def _splitext(p, sep, altsep, extsep): """Split the extension from a pathname. Extension is everything from the last dot to the end, ignoring leading dots. Returns "(root, ext)"; ext may be empty.""" # NOTE: This code must work for text and bytes strings. sepIndex = p.rfind(sep) if altsep: altsepIndex = p.rfind(altsep) sepIndex = max(sepIndex, altsepIndex) dotIndex = p.rfind(extsep) if dotIndex > sepIndex: # skip all leading dots filenameIndex = sepIndex + 1 while filenameIndex < dotIndex: if p[filenameIndex:filenameIndex+1] != extsep: return p[:dotIndex], p[dotIndex:] filenameIndex += 1 return p, p[:0] def _check_arg_types(funcname, *args): hasstr = hasbytes = False for s in args: if isinstance(s, str): hasstr = True elif isinstance(s, bytes): hasbytes = True else: raise TypeError('%s() argument must be str or bytes, not %r' % (funcname, s.__class__.__name__)) from None if hasstr and hasbytes: raise TypeError("Can't mix strings and bytes in path components") from None

31.487179

83

0.660423

import os import stat __all__ = ['commonprefix', 'exists', 'getatime', 'getctime', 'getmtime', 'getsize', 'isdir', 'isfile', 'samefile', 'sameopenfile', 'samestat'] def exists(path): try: os.stat(path) except OSError: return False return True def isfile(path): try: st = os.stat(path) except OSError: return False return stat.S_ISREG(st.st_mode) def isdir(s): try: st = os.stat(s) except OSError: return False return stat.S_ISDIR(st.st_mode) def getsize(filename): return os.stat(filename).st_size def getmtime(filename): return os.stat(filename).st_mtime def getatime(filename): return os.stat(filename).st_atime def getctime(filename): return os.stat(filename).st_ctime def commonprefix(m): if not m: return '' if not isinstance(m[0], (list, tuple)): m = tuple(map(os.fspath, m)) s1 = min(m) s2 = max(m) for i, c in enumerate(s1): if c != s2[i]: return s1[:i] return s1 # Are two stat buffers (obtained from stat, fstat or lstat) # describing the same file? def samestat(s1, s2): return (s1.st_ino == s2.st_ino and s1.st_dev == s2.st_dev) # Are two filenames really pointing to the same file? def samefile(f1, f2): s1 = os.stat(f1) s2 = os.stat(f2) return samestat(s1, s2) # Are two open files really referencing the same file? # (Not necessarily the same file descriptor!) def sameopenfile(fp1, fp2): s1 = os.fstat(fp1) s2 = os.fstat(fp2) return samestat(s1, s2) # Split a path in root and extension. # The extension is everything starting at the last dot in the last # pathname component; the root is everything before that. # It is always true that root + ext == p. # Generic implementation of splitext, to be parametrized with # the separators def _splitext(p, sep, altsep, extsep): # NOTE: This code must work for text and bytes strings. sepIndex = p.rfind(sep) if altsep: altsepIndex = p.rfind(altsep) sepIndex = max(sepIndex, altsepIndex) dotIndex = p.rfind(extsep) if dotIndex > sepIndex: # skip all leading dots filenameIndex = sepIndex + 1 while filenameIndex < dotIndex: if p[filenameIndex:filenameIndex+1] != extsep: return p[:dotIndex], p[dotIndex:] filenameIndex += 1 return p, p[:0] def _check_arg_types(funcname, *args): hasstr = hasbytes = False for s in args: if isinstance(s, str): hasstr = True elif isinstance(s, bytes): hasbytes = True else: raise TypeError('%s() argument must be str or bytes, not %r' % (funcname, s.__class__.__name__)) from None if hasstr and hasbytes: raise TypeError("Can't mix strings and bytes in path components") from None

true

f73d50c0410ebc1fc9af26d613df3949dfbb14a3

10,672

py

Python

tests/client/app_search/test_app_search.py

pmusa/enterprise-search-python

31a64285532373b5e709718a15ea24746b1f3e6e

[ "Apache-2.0" ]

null

tests/client/app_search/test_app_search.py

pmusa/enterprise-search-python

31a64285532373b5e709718a15ea24746b1f3e6e

[ "Apache-2.0" ]

1

2021-02-24T07:13:31.000Z

tests/client/app_search/test_app_search.py

pmusa/enterprise-search-python

31a64285532373b5e709718a15ea24746b1f3e6e

[ "Apache-2.0" ]

null

# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you 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 License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import jwt import pytest from elastic_enterprise_search import AppSearch, UnauthorizedError @pytest.fixture() def app_search(): yield AppSearch( "http://localhost:3002", http_auth="private-k3ra4bqu12vgnhe3wibdw69f" ) @pytest.mark.vcr() def test_list_engines(app_search): resp = app_search.list_engines() assert resp.status == 200 assert resp == { "meta": { "page": {"current": 1, "total_pages": 1, "total_results": 1, "size": 25} }, "results": [ {"name": "national-parks-demo", "type": "default", "language": None} ], } @pytest.mark.vcr() def test_list_documents(app_search): resp = app_search.list_documents( engine_name="national-parks-demo", page_size=2, current_page=3 ) assert resp.status == 200 assert resp == { "meta": { "page": {"current": 3, "total_pages": 30, "total_results": 59, "size": 2} }, "results": [ { "nps_link": "https://www.nps.gov/zion/index.htm", "title": "Zion", "date_established": "1919-11-19T06:00:00+00:00", "world_heritage_site": "false", "states": ["Utah"], "description": "Located at the junction of the Colorado Plateau, Great Basin, and Mojave Desert, this park contains sandstone features such as mesas, rock towers, and canyons, including the Virgin River Narrows. The various sandstone formations and the forks of the Virgin River create a wilderness divided into four ecosystems: desert, riparian, woodland, and coniferous forest.", "visitors": 4295127.0, "id": "park_zion", "location": "37.3,-113.05", "square_km": 595.8, "acres": 147237.02, }, { "nps_link": "https://www.nps.gov/yell/index.htm", "title": "Yellowstone", "date_established": "1872-03-01T06:00:00+00:00", "world_heritage_site": "true", "states": ["Wyoming", "Montana", "Idaho"], "description": "Situated on the Yellowstone Caldera, the park has an expansive network of geothermal areas including boiling mud pots, vividly colored hot springs such as Grand Prismatic Spring, and regularly erupting geysers, the best-known being Old Faithful. The yellow-hued Grand Canyon of the Yellowstone River contains several high waterfalls, while four mountain ranges traverse the park. More than 60 mammal species including gray wolves, grizzly bears, black bears, lynxes, bison, and elk, make this park one of the best wildlife viewing spots in the country.", "visitors": 4257177.0, "id": "park_yellowstone", "location": "44.6,-110.5", "square_km": 8983.2, "acres": 2219790.71, }, ], } @pytest.mark.vcr() def test_delete_documents(app_search): resp = app_search.delete_documents( engine_name="national-parks-demo", body=[ "park_yellowstone", "park_zion", ], ) assert resp.status == 200 assert resp == [ {"id": "park_yellowstone", "deleted": True}, {"id": "park_zion", "deleted": True}, ] @pytest.mark.vcr() def test_index_documents(app_search): resp = app_search.index_documents( engine_name="national-parks-demo", body=[ { "nps_link": "https://www.nps.gov/zion/index.htm", "title": "Zion", "date_established": "1919-11-19T06:00:00+00:00", "world_heritage_site": "false", "states": ["Utah"], "description": "Located at the junction of the Colorado Plateau, Great Basin, and Mojave Desert, this park contains sandstone features such as mesas, rock towers, and canyons, including the Virgin River Narrows. The various sandstone formations and the forks of the Virgin River create a wilderness divided into four ecosystems: desert, riparian, woodland, and coniferous forest.", "visitors": 4295127.0, "id": "park_zion", "location": "37.3,-113.05", "square_km": 595.8, "acres": 147237.02, }, { "nps_link": "https://www.nps.gov/yell/index.htm", "title": "Yellowstone", "date_established": "1872-03-01T06:00:00+00:00", "world_heritage_site": "true", "states": ["Wyoming", "Montana", "Idaho"], "description": "Situated on the Yellowstone Caldera, the park has an expansive network of geothermal areas including boiling mud pots, vividly colored hot springs such as Grand Prismatic Spring, and regularly erupting geysers, the best-known being Old Faithful. The yellow-hued Grand Canyon of the Yellowstone River contains several high waterfalls, while four mountain ranges traverse the park. More than 60 mammal species including gray wolves, grizzly bears, black bears, lynxes, bison, and elk, make this park one of the best wildlife viewing spots in the country.", "visitors": 4257177.0, "id": "park_yellowstone", "location": "44.6,-110.5", "square_km": 8983.2, "acres": 2219790.71, }, ], ) assert resp.status == 200 assert resp == [ {"id": "park_zion", "errors": []}, {"id": "park_yellowstone", "errors": []}, ] @pytest.mark.vcr() def test_search(app_search): resp = app_search.search( engine_name="national-parks-demo", body={"query": "tree", "page": {"size": 2}} ) assert resp.status == 200 assert resp == { "meta": { "alerts": [], "warnings": [], "page": {"current": 1, "total_pages": 12, "total_results": 23, "size": 2}, "engine": {"name": "national-parks-demo", "type": "default"}, "request_id": "4999a4ef-b750-4bef-aea2-87f54d9c87b3", }, "results": [ { "nps_link": {"raw": "https://www.nps.gov/grsm/index.htm"}, "title": {"raw": "Great Smoky Mountains"}, "date_established": {"raw": "1934-06-15T05:00:00+00:00"}, "world_heritage_site": {"raw": "true"}, "states": {"raw": ["Tennessee", "North Carolina"]}, "description": { "raw": "The Great Smoky Mountains, part of the Appalachian Mountains, span a wide range of elevations, making them home to over 400 vertebrate species, 100 tree species, and 5000 plant species. Hiking is the park's main attraction, with over 800 miles (1,300 km) of trails, including 70 miles (110 km) of the Appalachian Trail. Other activities include fishing, horseback riding, and touring nearly 80 historic structures." }, "visitors": {"raw": 11312786.0}, "_meta": { "id": "park_great-smoky-mountains", "engine": "national-parks-demo", "score": 16969184.0, }, "id": {"raw": "park_great-smoky-mountains"}, "location": {"raw": "35.68,-83.53"}, "square_km": {"raw": 2114.2}, "acres": {"raw": 522426.88}, }, { "nps_link": {"raw": "https://www.nps.gov/yose/index.htm"}, "title": {"raw": "Yosemite"}, "date_established": {"raw": "1890-10-01T05:00:00+00:00"}, "world_heritage_site": {"raw": "true"}, "states": {"raw": ["California"]}, "description": { "raw": "Yosemite features sheer granite cliffs, exceptionally tall waterfalls, and old-growth forests at a unique intersection of geology and hydrology. Half Dome and El Capitan rise from the park's centerpiece, the glacier-carved Yosemite Valley, and from its vertical walls drop Yosemite Falls, one of North America's tallest waterfalls at 2,425 feet (739 m) high. Three giant sequoia groves, along with a pristine wilderness in the heart of the Sierra Nevada, are home to a wide variety of rare plant and animal species." }, "visitors": {"raw": 5028868.0}, "_meta": { "id": "park_yosemite", "engine": "national-parks-demo", "score": 7543302.0, }, "id": {"raw": "park_yosemite"}, "location": {"raw": "37.83,-119.5"}, "square_km": {"raw": 3082.7}, "acres": {"raw": 761747.5}, }, ], } @pytest.mark.vcr() def test_not_authorized(app_search): app_search.http_auth = None with pytest.raises(UnauthorizedError) as e: app_search.list_engines() assert e.value.status == 401 assert e.value.message == {"error": "You need to sign in before continuing."} assert e.value.errors == () resp = app_search.list_engines(ignore_status=401) assert resp.status == 401 assert resp == {"error": "You need to sign in before continuing."} def test_create_signed_search_key(): private_key = "private-" signed_key = AppSearch.create_signed_search_key( api_key=private_key, api_key_name="api-key-name", search_fields={"first_name": {}}, filters={"status": "available"}, facets=None, ) assert isinstance(signed_key, str) assert jwt.decode(signed_key, private_key, algorithms="HS256") == { "api_key_name": "api-key-name", "facets": None, "filters": {"status": "available"}, "search_fields": {"first_name": {}}, }

46

586

0.585551

import jwt import pytest from elastic_enterprise_search import AppSearch, UnauthorizedError @pytest.fixture() def app_search(): yield AppSearch( "http://localhost:3002", http_auth="private-k3ra4bqu12vgnhe3wibdw69f" ) @pytest.mark.vcr() def test_list_engines(app_search): resp = app_search.list_engines() assert resp.status == 200 assert resp == { "meta": { "page": {"current": 1, "total_pages": 1, "total_results": 1, "size": 25} }, "results": [ {"name": "national-parks-demo", "type": "default", "language": None} ], } @pytest.mark.vcr() def test_list_documents(app_search): resp = app_search.list_documents( engine_name="national-parks-demo", page_size=2, current_page=3 ) assert resp.status == 200 assert resp == { "meta": { "page": {"current": 3, "total_pages": 30, "total_results": 59, "size": 2} }, "results": [ { "nps_link": "https://www.nps.gov/zion/index.htm", "title": "Zion", "date_established": "1919-11-19T06:00:00+00:00", "world_heritage_site": "false", "states": ["Utah"], "description": "Located at the junction of the Colorado Plateau, Great Basin, and Mojave Desert, this park contains sandstone features such as mesas, rock towers, and canyons, including the Virgin River Narrows. The various sandstone formations and the forks of the Virgin River create a wilderness divided into four ecosystems: desert, riparian, woodland, and coniferous forest.", "visitors": 4295127.0, "id": "park_zion", "location": "37.3,-113.05", "square_km": 595.8, "acres": 147237.02, }, { "nps_link": "https://www.nps.gov/yell/index.htm", "title": "Yellowstone", "date_established": "1872-03-01T06:00:00+00:00", "world_heritage_site": "true", "states": ["Wyoming", "Montana", "Idaho"], "description": "Situated on the Yellowstone Caldera, the park has an expansive network of geothermal areas including boiling mud pots, vividly colored hot springs such as Grand Prismatic Spring, and regularly erupting geysers, the best-known being Old Faithful. The yellow-hued Grand Canyon of the Yellowstone River contains several high waterfalls, while four mountain ranges traverse the park. More than 60 mammal species including gray wolves, grizzly bears, black bears, lynxes, bison, and elk, make this park one of the best wildlife viewing spots in the country.", "visitors": 4257177.0, "id": "park_yellowstone", "location": "44.6,-110.5", "square_km": 8983.2, "acres": 2219790.71, }, ], } @pytest.mark.vcr() def test_delete_documents(app_search): resp = app_search.delete_documents( engine_name="national-parks-demo", body=[ "park_yellowstone", "park_zion", ], ) assert resp.status == 200 assert resp == [ {"id": "park_yellowstone", "deleted": True}, {"id": "park_zion", "deleted": True}, ] @pytest.mark.vcr() def test_index_documents(app_search): resp = app_search.index_documents( engine_name="national-parks-demo", body=[ { "nps_link": "https://www.nps.gov/zion/index.htm", "title": "Zion", "date_established": "1919-11-19T06:00:00+00:00", "world_heritage_site": "false", "states": ["Utah"], "description": "Located at the junction of the Colorado Plateau, Great Basin, and Mojave Desert, this park contains sandstone features such as mesas, rock towers, and canyons, including the Virgin River Narrows. The various sandstone formations and the forks of the Virgin River create a wilderness divided into four ecosystems: desert, riparian, woodland, and coniferous forest.", "visitors": 4295127.0, "id": "park_zion", "location": "37.3,-113.05", "square_km": 595.8, "acres": 147237.02, }, { "nps_link": "https://www.nps.gov/yell/index.htm", "title": "Yellowstone", "date_established": "1872-03-01T06:00:00+00:00", "world_heritage_site": "true", "states": ["Wyoming", "Montana", "Idaho"], "description": "Situated on the Yellowstone Caldera, the park has an expansive network of geothermal areas including boiling mud pots, vividly colored hot springs such as Grand Prismatic Spring, and regularly erupting geysers, the best-known being Old Faithful. The yellow-hued Grand Canyon of the Yellowstone River contains several high waterfalls, while four mountain ranges traverse the park. More than 60 mammal species including gray wolves, grizzly bears, black bears, lynxes, bison, and elk, make this park one of the best wildlife viewing spots in the country.", "visitors": 4257177.0, "id": "park_yellowstone", "location": "44.6,-110.5", "square_km": 8983.2, "acres": 2219790.71, }, ], ) assert resp.status == 200 assert resp == [ {"id": "park_zion", "errors": []}, {"id": "park_yellowstone", "errors": []}, ] @pytest.mark.vcr() def test_search(app_search): resp = app_search.search( engine_name="national-parks-demo", body={"query": "tree", "page": {"size": 2}} ) assert resp.status == 200 assert resp == { "meta": { "alerts": [], "warnings": [], "page": {"current": 1, "total_pages": 12, "total_results": 23, "size": 2}, "engine": {"name": "national-parks-demo", "type": "default"}, "request_id": "4999a4ef-b750-4bef-aea2-87f54d9c87b3", }, "results": [ { "nps_link": {"raw": "https://www.nps.gov/grsm/index.htm"}, "title": {"raw": "Great Smoky Mountains"}, "date_established": {"raw": "1934-06-15T05:00:00+00:00"}, "world_heritage_site": {"raw": "true"}, "states": {"raw": ["Tennessee", "North Carolina"]}, "description": { "raw": "The Great Smoky Mountains, part of the Appalachian Mountains, span a wide range of elevations, making them home to over 400 vertebrate species, 100 tree species, and 5000 plant species. Hiking is the park's main attraction, with over 800 miles (1,300 km) of trails, including 70 miles (110 km) of the Appalachian Trail. Other activities include fishing, horseback riding, and touring nearly 80 historic structures." }, "visitors": {"raw": 11312786.0}, "_meta": { "id": "park_great-smoky-mountains", "engine": "national-parks-demo", "score": 16969184.0, }, "id": {"raw": "park_great-smoky-mountains"}, "location": {"raw": "35.68,-83.53"}, "square_km": {"raw": 2114.2}, "acres": {"raw": 522426.88}, }, { "nps_link": {"raw": "https://www.nps.gov/yose/index.htm"}, "title": {"raw": "Yosemite"}, "date_established": {"raw": "1890-10-01T05:00:00+00:00"}, "world_heritage_site": {"raw": "true"}, "states": {"raw": ["California"]}, "description": { "raw": "Yosemite features sheer granite cliffs, exceptionally tall waterfalls, and old-growth forests at a unique intersection of geology and hydrology. Half Dome and El Capitan rise from the park's centerpiece, the glacier-carved Yosemite Valley, and from its vertical walls drop Yosemite Falls, one of North America's tallest waterfalls at 2,425 feet (739 m) high. Three giant sequoia groves, along with a pristine wilderness in the heart of the Sierra Nevada, are home to a wide variety of rare plant and animal species." }, "visitors": {"raw": 5028868.0}, "_meta": { "id": "park_yosemite", "engine": "national-parks-demo", "score": 7543302.0, }, "id": {"raw": "park_yosemite"}, "location": {"raw": "37.83,-119.5"}, "square_km": {"raw": 3082.7}, "acres": {"raw": 761747.5}, }, ], } @pytest.mark.vcr() def test_not_authorized(app_search): app_search.http_auth = None with pytest.raises(UnauthorizedError) as e: app_search.list_engines() assert e.value.status == 401 assert e.value.message == {"error": "You need to sign in before continuing."} assert e.value.errors == () resp = app_search.list_engines(ignore_status=401) assert resp.status == 401 assert resp == {"error": "You need to sign in before continuing."} def test_create_signed_search_key(): private_key = "private-" signed_key = AppSearch.create_signed_search_key( api_key=private_key, api_key_name="api-key-name", search_fields={"first_name": {}}, filters={"status": "available"}, facets=None, ) assert isinstance(signed_key, str) assert jwt.decode(signed_key, private_key, algorithms="HS256") == { "api_key_name": "api-key-name", "facets": None, "filters": {"status": "available"}, "search_fields": {"first_name": {}}, }

true

f73d51a4605556876ee30be66356a98ed6903bd2

1,180

py

Python

trik/Treading.py

m1raynee/trikset.py-typehint

2176229fb11628f369eb7a090b89c4b34985a7fd

[ "MIT" ]

1

2022-01-23T21:23:15.000Z

trik/Treading.py

m1raynee/trikset-py-typehint

2176229fb11628f369eb7a090b89c4b34985a7fd

[ "MIT" ]

null

trik/Treading.py

m1raynee/trikset-py-typehint

2176229fb11628f369eb7a090b89c4b34985a7fd

[ "MIT" ]

null

from typing import Callable def joinThread(treadId: str) -> None: """Ожидает завершения указанного потока. Параметры --------- treadId: :class:`str` id потока """ raise NotImplementedError def killThread(treadId: str) -> None: """Заканчивает исполнение указанного потока. Параметры --------- treadId: :class:`str` id потока """ raise NotImplementedError def receiveMessage(wait: bool) -> str: """Запрашивает принятое сообщение. Параметры --------- wait: :class:`bool` Если `True`, то ожидает, пока не придет сообщение. """ raise NotImplementedError def sendMessage(treadId: str, message: str) -> None: """Посылает сообщение указанному потоку. Параметры --------- treadId: :class:`str` id потока message: :class:`str` Сообщение """ raise NotImplementedError def startThread(newThreadId: str, functionName: Callable): """Запускает переданную в качестве параметра функцию в отдельном потоке. Параметры --------- newTreadId: :class:`str` id нового потока functionName: Callable Функция """

20

76

0.616102

from typing import Callable def joinThread(treadId: str) -> None: raise NotImplementedError def killThread(treadId: str) -> None: raise NotImplementedError def receiveMessage(wait: bool) -> str: raise NotImplementedError def sendMessage(treadId: str, message: str) -> None: raise NotImplementedError def startThread(newThreadId: str, functionName: Callable):

true

f73d531b542c0931ce8dda1c1db069885ad1b953

701

py

Python

test.py

bochainwu/self_learning2021

a80580a4bb82e280f06b093f19d93ff354f7cd17

[ "MIT" ]

5

2021-07-17T03:34:19.000Z

2021-11-16T11:28:24.000Z

test.py

bochainwu/self_learning2021

a80580a4bb82e280f06b093f19d93ff354f7cd17

[ "MIT" ]

1

2021-07-18T06:33:30.000Z

2021-07-19T14:11:14.000Z

test.py

bochainwu/self_learning2021

a80580a4bb82e280f06b093f19d93ff354f7cd17

[ "MIT" ]

null

''' a = [[1 for j in range(5)], [2 for j in range(5)], [3 for j in range(5)], [4 for j in range(5)], [5 for j in range(5)], [6 for j in range(5)]] for i in range(6): for j in range(5): print(a[i][j], end='') print() print() x, y = 0, 0 while True: if x == 6: print() x = 0 y += 1 print(a[x][y] ,end='') x += 1 if x==6 and y==4: break ''' ''' a = 1 a = b print(b) for i in range(5): if a == 1: print('1') pass elif a == 1: print('2') else: print('x') ''' ''' a, b,c,d = 0, 0 ,0 ,1 for i in range(4): c, d, a, b = b, c, d, a print(a,b,c,d) '''

14.914894

30

0.388017

true

f73d535f83d4563314565b1875e6c700ddb87bfd

5,749

py

Python

pygimli/physics/traveltime/raplot.py

baender/gimli

eb9a2204669cf11209b9577472f61ac70217a191

[ "Apache-2.0" ]

1

2022-03-27T18:37:08.000Z

pygimli/physics/traveltime/raplot.py

baender/gimli

eb9a2204669cf11209b9577472f61ac70217a191

[ "Apache-2.0" ]

null

pygimli/physics/traveltime/raplot.py

baender/gimli

eb9a2204669cf11209b9577472f61ac70217a191

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """"WRITEME""" import matplotlib.pyplot as plt import numpy as np import pygimli as pg from pygimli.viewer.mpl import createColorBar # , updateColorBar from .ratools import shotReceiverDistances def drawTravelTimeData(ax, data, t=None): """ Draw first arrival traveltime data into mpl ax a. data of type \ref DataContainer must contain sensorIdx 's' and 'g' and thus being numbered internally [0..n) """ x = pg.x(data.sensorPositions()) # z = pg.z(data.sensorPositions()) shots = pg.unique(pg.sort(data('s'))) geoph = pg.unique(pg.sort(data('g'))) startOffsetIDX = 0 if min(min(shots), min(geoph)) == 1: startOffsetIDX = 1 tShow = data('t') if t is not None: tShow = t ax.set_xlim([min(x), max(x)]) ax.set_ylim([max(tShow), -0.002]) ax.figure.show() for shot in shots: gIdx = pg.find(data('s') == shot) sensorIdx = [int(i__ - startOffsetIDX) for i__ in data('g')[gIdx]] ax.plot(x[sensorIdx], tShow[gIdx], 'x-') yPixel = ax.transData.inverted().transform_point((1, 1))[1] - \ ax.transData.inverted().transform_point((0, 0))[1] xPixel = ax.transData.inverted().transform_point((1, 1))[0] - \ ax.transData.inverted().transform_point((0, 0))[0] # draw shot points ax.plot(x[[int(i__ - startOffsetIDX) for i__ in shots]], np.zeros(len(shots)) + 8. * yPixel, 'gv', markersize=8) # draw geophone points ax.plot(x[[int(i__ - startOffsetIDX) for i__ in geoph]], np.zeros(len(geoph)) + 3. * yPixel, 'r^', markersize=8) ax.grid() ax.set_ylim([max(tShow), +16. * yPixel]) ax.set_xlim([min(x) - 5. * xPixel, max(x) + 5. * xPixel]) ax.set_xlabel('x-Coordinate [m]') ax.set_ylabel('Traveltime [ms]') def plotFirstPicks(ax, data, tt=None, plotva=False, marker='x-'): """Naming convention. drawFOO(ax, ... )""" pg.deprecated("use drawFirstPicks") return drawFirstPicks(ax=ax, data=data, tt=tt, plotva=plotva, marker=marker) def drawFirstPicks(ax, data, tt=None, plotva=False, marker='x-'): """plot first arrivals as lines""" px = pg.x(data) gx = np.array([px[int(g)] for g in data("g")]) sx = np.array([px[int(s)] for s in data("s")]) if tt is None: tt = np.array(data("t")) if plotva: tt = np.absolute(gx - sx) / tt uns = np.unique(sx) cols = plt.cm.tab10(np.arange(10)) for i, si in enumerate(uns): ti = tt[sx == si] gi = gx[sx == si] ii = gi.argsort() ax.plot(gi[ii], ti[ii], marker, color=cols[i % 10]) ax.plot(si, 0., 's', color=cols[i % 10], markersize=8) ax.grid(True) if plotva: ax.set_ylabel("Apparent velocity (m/s)") else: ax.set_ylabel("Traveltime (s)") ax.set_xlabel("x (m)") ax.invert_yaxis() def _getOffset(data, full=False): """Return vector of offsets (in m) between shot and receiver.""" pg.deprecated('use shotReceiverDistances') # 190429 ?? return shotReceiverDistances(data, full) def showVA(data, usePos=True, ax=None, **kwargs): """Show apparent velocity as image plot Parameters ---------- data : pg.DataContainer() Datacontainer with 's' and 'g' Sensorindieces and 't' traveltimes. """ ax, _ = pg.show(ax=ax) gci = drawVA(ax, data=data, usePos=usePos, **kwargs) cBar = createColorBar(gci, **kwargs) return gci, cBar def drawVA(ax, data, vals=None, usePos=True, pseudosection=False, **kwargs): """Draw apparent velocities as matrix into ax Parameters ---------- ax : mpl.Axes data : pg.DataContainer() Datacontainer with 's' and 'g' Sensorindieces and 't' traveltimes. usePos: bool [True] Use sensor positions for axes tick labels pseudosection : bool [False] Show in pseudosection style. vals : iterable Traveltimes, if None data need to contain 't' values. """ if isinstance(vals, str): vals = data(vals) if vals is None: vals = data('t') px = pg.x(data) gx = np.asarray([px[g] for g in data.id("g")]) sx = np.asarray([px[s] for s in data.id("s")]) offset = shotReceiverDistances(data, full=True) if min(vals) < 1e-10: print(vals) pg.error('zero traveltimes found.') va = offset / vals if pseudosection: midpoint = (gx + sx) / 2 gci = pg.viewer.mpl.dataview.drawVecMatrix(ax, midpoint, offset, va, queeze=True, label=pg.unit('as')) else: gci = pg.viewer.mpl.dataview.drawVecMatrix(ax, gx, sx, va, squeeze=True, label=pg.unit('as')) # A = np.ones((data.sensorCount(), data.sensorCount())) * np.nan # for i in range(data.size()): # A[int(data('s')[i]), int(data('g')[i])] = va[i] # gci = ax.imshow(A, interpolation='nearest') # ax.grid(True) if usePos: xt = np.arange(0, data.sensorCount(), 50) ax.set_xticks(xt) ax.set_xticklabels([str(int(px[xti])) for xti in xt]) ax.set_yticks(xt) ax.set_yticklabels([str(int(px[xti])) for xti in xt]) return gci def plotLines(ax, line_filename, step=1): xz = np.loadtxt(line_filename) n_points = xz.shape[0] if step == 2: for i in range(0, n_points, step): x = xz[i:i + step, 0] z = xz[i:i + step, 1] ax.plot(x, z, 'k-') if step == 1: ax.plot(xz[:, 0], xz[:, 1], 'k-')

29.182741

76

0.564968

import matplotlib.pyplot as plt import numpy as np import pygimli as pg from pygimli.viewer.mpl import createColorBar from .ratools import shotReceiverDistances def drawTravelTimeData(ax, data, t=None): x = pg.x(data.sensorPositions()) shots = pg.unique(pg.sort(data('s'))) geoph = pg.unique(pg.sort(data('g'))) startOffsetIDX = 0 if min(min(shots), min(geoph)) == 1: startOffsetIDX = 1 tShow = data('t') if t is not None: tShow = t ax.set_xlim([min(x), max(x)]) ax.set_ylim([max(tShow), -0.002]) ax.figure.show() for shot in shots: gIdx = pg.find(data('s') == shot) sensorIdx = [int(i__ - startOffsetIDX) for i__ in data('g')[gIdx]] ax.plot(x[sensorIdx], tShow[gIdx], 'x-') yPixel = ax.transData.inverted().transform_point((1, 1))[1] - \ ax.transData.inverted().transform_point((0, 0))[1] xPixel = ax.transData.inverted().transform_point((1, 1))[0] - \ ax.transData.inverted().transform_point((0, 0))[0] ax.plot(x[[int(i__ - startOffsetIDX) for i__ in shots]], np.zeros(len(shots)) + 8. * yPixel, 'gv', markersize=8) ax.plot(x[[int(i__ - startOffsetIDX) for i__ in geoph]], np.zeros(len(geoph)) + 3. * yPixel, 'r^', markersize=8) ax.grid() ax.set_ylim([max(tShow), +16. * yPixel]) ax.set_xlim([min(x) - 5. * xPixel, max(x) + 5. * xPixel]) ax.set_xlabel('x-Coordinate [m]') ax.set_ylabel('Traveltime [ms]') def plotFirstPicks(ax, data, tt=None, plotva=False, marker='x-'): pg.deprecated("use drawFirstPicks") return drawFirstPicks(ax=ax, data=data, tt=tt, plotva=plotva, marker=marker) def drawFirstPicks(ax, data, tt=None, plotva=False, marker='x-'): px = pg.x(data) gx = np.array([px[int(g)] for g in data("g")]) sx = np.array([px[int(s)] for s in data("s")]) if tt is None: tt = np.array(data("t")) if plotva: tt = np.absolute(gx - sx) / tt uns = np.unique(sx) cols = plt.cm.tab10(np.arange(10)) for i, si in enumerate(uns): ti = tt[sx == si] gi = gx[sx == si] ii = gi.argsort() ax.plot(gi[ii], ti[ii], marker, color=cols[i % 10]) ax.plot(si, 0., 's', color=cols[i % 10], markersize=8) ax.grid(True) if plotva: ax.set_ylabel("Apparent velocity (m/s)") else: ax.set_ylabel("Traveltime (s)") ax.set_xlabel("x (m)") ax.invert_yaxis() def _getOffset(data, full=False): pg.deprecated('use shotReceiverDistances') return shotReceiverDistances(data, full) def showVA(data, usePos=True, ax=None, **kwargs): ax, _ = pg.show(ax=ax) gci = drawVA(ax, data=data, usePos=usePos, **kwargs) cBar = createColorBar(gci, **kwargs) return gci, cBar def drawVA(ax, data, vals=None, usePos=True, pseudosection=False, **kwargs): if isinstance(vals, str): vals = data(vals) if vals is None: vals = data('t') px = pg.x(data) gx = np.asarray([px[g] for g in data.id("g")]) sx = np.asarray([px[s] for s in data.id("s")]) offset = shotReceiverDistances(data, full=True) if min(vals) < 1e-10: print(vals) pg.error('zero traveltimes found.') va = offset / vals if pseudosection: midpoint = (gx + sx) / 2 gci = pg.viewer.mpl.dataview.drawVecMatrix(ax, midpoint, offset, va, queeze=True, label=pg.unit('as')) else: gci = pg.viewer.mpl.dataview.drawVecMatrix(ax, gx, sx, va, squeeze=True, label=pg.unit('as')) if usePos: xt = np.arange(0, data.sensorCount(), 50) ax.set_xticks(xt) ax.set_xticklabels([str(int(px[xti])) for xti in xt]) ax.set_yticks(xt) ax.set_yticklabels([str(int(px[xti])) for xti in xt]) return gci def plotLines(ax, line_filename, step=1): xz = np.loadtxt(line_filename) n_points = xz.shape[0] if step == 2: for i in range(0, n_points, step): x = xz[i:i + step, 0] z = xz[i:i + step, 1] ax.plot(x, z, 'k-') if step == 1: ax.plot(xz[:, 0], xz[:, 1], 'k-')

true

f73d538b9d224bd77e936dae668753c1e8e793a8

1,658

py

Python

elasticapm/version.py

bmilescu/apm-agent-python

d4b5378941f5b82406862bbc03f91ebe64559ba9

[ "BSD-3-Clause" ]

null

elasticapm/version.py

bmilescu/apm-agent-python

d4b5378941f5b82406862bbc03f91ebe64559ba9

[ "BSD-3-Clause" ]

null

elasticapm/version.py

bmilescu/apm-agent-python

d4b5378941f5b82406862bbc03f91ebe64559ba9

[ "BSD-3-Clause" ]

null

# BSD 3-Clause License # # Copyright (c) 2019, Elasticsearch BV # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # * Neither the name of the copyright holder nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. __version__ = (5, 7, 0) VERSION = ".".join(map(str, __version__))

50.242424

81

0.767189

__version__ = (5, 7, 0) VERSION = ".".join(map(str, __version__))

true

f73d5437748b81ea8becf68dd199e9ea54911c3d

1,121

py

Python

sfaira/data/utils_scripts/create_meta_and_cache.py

johnmous/sfaira

c50240a74530e614ab7681bf9c63b04cb815b361

[ "BSD-3-Clause" ]

110

2020-09-08T07:47:15.000Z

2022-03-29T03:33:56.000Z

sfaira/data/utils_scripts/create_meta_and_cache.py

johnmous/sfaira

c50240a74530e614ab7681bf9c63b04cb815b361

[ "BSD-3-Clause" ]

405

2020-09-15T15:05:46.000Z

2022-03-16T14:44:23.000Z

sfaira/data/utils_scripts/create_meta_and_cache.py

johnmous/sfaira

c50240a74530e614ab7681bf9c63b04cb815b361

[ "BSD-3-Clause" ]

20

2021-03-30T15:30:14.000Z

2022-03-07T12:52:58.000Z

import os import sfaira import sys # Set global variables. print("sys.argv", sys.argv) data_path = str(sys.argv[1]) path_meta = str(sys.argv[2]) path_cache = str(sys.argv[3]) processes = int(str(sys.argv[4])) ds = sfaira.data.dataloaders.Universe( data_path=data_path, meta_path=path_meta, cache_path=path_cache ) # Write meta data, cache and test load from cache: for x in ds.dataset_groups: for k, v in x.datasets.items(): print(f"SCRIPT: loading {x} {k}") try: # Initial load and cache writing: # Only run this if data set was not already cached to speed up resumed jobs. if not os.path.exists(v.cache_fn): v.load(load_raw=False, allow_caching=True) # Write meta data, cache. v.write_meta(fn_meta=None, dir_out=path_meta) # Test load from cache. v.load(load_raw=False, allow_caching=False) v.clear() except ValueError as e: # Do not abort upon ValueErrors, such as from cell type map bugs. print(f"SCRIPT WARNING: TO-FIX: ValueError in {k}: {e}")

33.969697

88

0.633363

import os import sfaira import sys print("sys.argv", sys.argv) data_path = str(sys.argv[1]) path_meta = str(sys.argv[2]) path_cache = str(sys.argv[3]) processes = int(str(sys.argv[4])) ds = sfaira.data.dataloaders.Universe( data_path=data_path, meta_path=path_meta, cache_path=path_cache ) for x in ds.dataset_groups: for k, v in x.datasets.items(): print(f"SCRIPT: loading {x} {k}") try: if not os.path.exists(v.cache_fn): v.load(load_raw=False, allow_caching=True) v.write_meta(fn_meta=None, dir_out=path_meta) v.load(load_raw=False, allow_caching=False) v.clear() except ValueError as e: print(f"SCRIPT WARNING: TO-FIX: ValueError in {k}: {e}")

true

f73d552ecc282813a207cf0ea275a12fdeb1d22a

55,567

py

Python

tensorlog/testxcomp.py

saraswat/TensorLog

c56cebfa33b5123d5340a7b429e333da09d223d8

[ "Apache-2.0" ]

108

2016-05-24T16:49:56.000Z

2022-02-02T19:06:14.000Z

tensorlog/testxcomp.py

saraswat/TensorLog

c56cebfa33b5123d5340a7b429e333da09d223d8

[ "Apache-2.0" ]

12

2016-09-07T18:04:38.000Z

2020-12-07T01:18:08.000Z

tensorlog/testxcomp.py

saraswat/TensorLog

c56cebfa33b5123d5340a7b429e333da09d223d8

[ "Apache-2.0" ]

22

2016-06-17T18:59:18.000Z

2020-05-28T02:13:59.000Z

# (C) William W. Cohen and Carnegie Mellon University, 2017 import logging import numpy as np import os import unittest import sys import collections import tempfile from tensorlog import xctargets if xctargets.tf: import tensorflow as tf from tensorlog import tensorflowxcomp else: tensorflowxcomp=None if xctargets.theano: import theano from tensorlog import theanoxcomp else: theanoxcomp=None from tensorlog import bpcompiler from tensorlog import comline from tensorlog import dataset from tensorlog import declare from tensorlog import matrixdb from tensorlog import learn from tensorlog import mutil from tensorlog import parser from tensorlog import program from tensorlog import simple from tensorlog import testtensorlog from tensorlog import funs from tensorlog import ops from tensorlog import learnxcomp as learnxc from tensorlog.expt import Expt if xctargets.tf: tf.logging.set_verbosity(tf.logging.WARN) TESTED_COMPILERS = [] TESTED_LEARNERS = {} if xctargets.theano: for c in [ theanoxcomp.DenseMatDenseMsgCrossCompiler, theanoxcomp.SparseMatDenseMsgCrossCompiler ]: TESTED_COMPILERS.append(c) TESTED_LEARNERS[c]=theanoxcomp.FixedRateGDLearner if xctargets.tf: for c in [ tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler, ]: TESTED_COMPILERS.append(c) TESTED_LEARNERS[c]=tensorflowxcomp.FixedRateGDLearner RUN_OLD_INFERENCE_TESTS = False SAVE_SUMMARIES = False def close_cross_compiler(xc): xc.close() if xctargets.tf and isinstance(xc,tensorflowxcomp.TensorFlowCrossCompiler): tf.reset_default_graph() class TestXCSmallProofs(testtensorlog.TestSmallProofs): def test_if(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).'], 'p(i,o)', 'william', {'susan':1.0}) def test_failure(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).'], 'p(i,o)', 'lottie', {matrixdb.NULL_ENTITY_NAME:1.0}) def test_reverse_if(self): self.xcomp_check(['p(X,Y):-sister(Y,X).'], 'p(i,o)', 'rachel', {'william':1.0}) def test_or(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).', 'p(X,Y):-sister(X,Y).'], 'p(i,o)', 'william', {'susan':1.0, 'rachel':1.0, 'lottie':1.0, 'sarah':1.0}) def test_chain(self): self.xcomp_check(['p(X,Z):-spouse(X,Y),sister(Y,Z).'], 'p(i,o)', 'susan', {'rachel':1.0, 'lottie':1.0, 'sarah':1.0}) self.xcomp_check(['p(X,Z):-sister(X,Y),child(Y,Z).'], 'p(i,o)', 'william', {'charlotte':1.0, 'lucas':1.0, 'poppy':1.0, 'caroline':1.0, 'elizabeth':1.0}) def test_mid(self): self.xcomp_check(['p(X,Y):-sister(X,Y),child(Y,Z).'], 'p(i,o)', 'william', {'sarah': 1.0, 'rachel': 2.0, 'lottie': 2.0}) def test_nest(self): self.xcomp_check(['s(X,Y):-spouse(X,Y).','t(X,Z):-spouse(X,Y),s(Y,Z).'], 't(i,o)', 'susan', {'susan': 1.0}) def test_back1(self): # fails for tensorflowxcomp self.xcomp_check(['p(X,Y):-spouse(X,Y),sister(X,Z).'], 'p(i,o)', 'william', {'susan': 3.0}) def test_back2(self): self.xcomp_check(['p(X,Y):-spouse(X,Y),sister(X,Z1),sister(X,Z2).'],'p(i,o)','william',{'susan': 9.0}) def test_rec1(self): program.DEFAULT_MAXDEPTH=4 self.xcomp_check(['p(X,Y):-spouse(X,Y).','p(X,Y):-p(Y,X).'], 'p(i,o)','william',{'susan': 5.0}) program.DEFAULT_MAXDEPTH=10 self.xcomp_check(['p(X,Y):-spouse(X,Y).','p(X,Y):-p(Y,X).'], 'p(i,o)','william',{'susan': 11.0}) def test_const_output(self): self.xcomp_check(['sis(X,W):-assign(W,william),child(X,Y).'], 'sis(i,o)', 'sarah', {'william': 1.0}) self.xcomp_check(['sis(X,W):-assign(W,william),child(X,Y).'], 'sis(i,o)', 'lottie', {'william': 2.0}) def test_const_chain1(self): self.xcomp_check(['p(X,S) :- assign(S,susan),sister(X,Y),child(Y,Z).'],'p(i,o)','william',{'susan': 5.0}) def test_const_chain2(self): self.xcomp_check(['p(X,Pos) :- assign(Pos,pos),child(X,Y),young(Y).'],'p(i,o)','sarah',{'pos':1.0}) self.xcomp_check(['p(X,Pos) :- assign(Pos,pos),child(X,Y),young(Y).'],'p(i,o)','lottie',{'pos':2.0}) def test_alt_chain(self): self.xcomp_check(['p(X,W) :- spouse(X,W),sister(X,Y),child(Y,Z).'],'p(i,o)','william',{'susan': 5.0}) pass def test_proppr1(self): w = 7*self.db.onehot('r1')+3*self.db.onehot('r2') self.proppr_xcomp_check(w,['p(X,Y):-sister(X,Y) {r1}.','p(X,Y):-spouse(X,Y) {r2}.'],'p(i,o)', 'william', {'sarah': 7.0, 'rachel': 7.0, 'lottie': 7.0, 'susan': 3.0}) def test_proppr2(self): w = 3*self.db.onehot('r2') self.proppr_xcomp_check(w,['p(X,Y):-spouse(Y,X) {r2}.'],'p(i,o)', 'susan', {'william': 3.0}) def test_reuse1(self): self.xcomp_check(['p(X,Y) :- r(X,Z),r(Z,Y).', 'r(X,Y):-spouse(X,Y).'], 'p(i,o)', 'william', {'william':1.0}) def _removeZeros(self, sdict): if True: return sdict e = sdict[None] ret = dict([ (k,v-e) for (k,v) in list(sdict.items()) if v != e]) z = sum(ret.values()) for k in ret: ret[k] = ret[k]/z return ret def xcomp_check(self,ruleStrings,mode_string,input_symbol,expected_result_dict,compare=False): self._xcomp_check('vanilla',None,ruleStrings,mode_string,input_symbol,expected_result_dict,compare) def proppr_xcomp_check(self,weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict): self._xcomp_check('proppr',weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict) def _xcomp_check(self,progType,weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict,compare=False): # run the base class check to see that the inference is correct if RUN_OLD_INFERENCE_TESTS: if progType=='proppr': self.proppr_inference_check(weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict) else: self.inference_check(ruleStrings,mode_string,input_symbol,expected_result_dict) # setup the next round of tests by compiling a tensorlog # Program - this code is lifted from the testtensorlog # inference routines print('xcomp inference for mode',mode_string,'on input',input_symbol) testtensorlog.softmax_normalize(expected_result_dict) rules = parser.RuleCollection() for r in ruleStrings: rules.add(parser.Parser().parseRule(r)) if progType=='proppr': prog = program.ProPPRProgram(db=self.db,rules=rules,weights=weightVec) else: prog = program.Program(db=self.db,rules=rules) for compilerClass in TESTED_COMPILERS: #cross-compile the function xc = compilerClass(prog) # evaluate the function and get the output y #xc.show() print('== performing eval with',compilerClass,'==') inferenceFun = xc.inferenceFunction(mode_string) y = inferenceFun(prog.db.onehot(input_symbol)) # print 'input',xc.getInputName(mode_string),'args,fun # =',xc.inference(mode_string) theano output will a be (probably # dense) message, so just compare and check that the maximal # elements from these two dicts are the same actual_result_dict = self.db.rowAsSymbolDict(y) self.check_maxes_in_dicts(actual_result_dict, expected_result_dict) # check it's normalized l1_error = abs(sum(actual_result_dict.values()) - 1.0) #print 'l1_error',l1_error,'actual_result_dict',actual_result_dict,'expected_result_dict',expected_result_dict self.assertTrue( l1_error < 0.0001) # also test proofCountFun proofCountFun = xc.proofCountFunction(mode_string) pc = proofCountFun(prog.db.onehot(input_symbol)) # theano output will a be (probably dense) message, so # just compare that maximal elements from these two dicts # are the same pc_result_dict = self.db.rowAsSymbolDict(pc) if len(pc_result_dict)>0: self.check_maxes_in_dicts(pc_result_dict, expected_result_dict) print('== eval checks passed ==') close_cross_compiler(xc) def check_maxes_in_dicts(self,actual,expected): def maximalElements(d): m = max(d.values()) return set(k for k in d if d[k]==m) actualMaxes = maximalElements(actual) expectedMaxes = maximalElements(expected) print('actual',actualMaxes,'expected',expectedMaxes) for a in actualMaxes: self.assertTrue(a in expectedMaxes) for a in expectedMaxes: self.assertTrue(a in actualMaxes) class TestXCGrad(testtensorlog.TestGrad): def setUp(self): self.db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,'fam.cfacts')) def test_if(self): rules = ['p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_if2(self): rules = ['p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah']), ('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie']), ('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_reverse_if(self): rules = ['p(X,Y):-parent(Y,X).'] mode = 'p(i,o)' params = [('parent',2)] self.xgrad_check(rules, mode, params, [('lottie',['charlotte'])], {'parent(charlotte,lottie)': +1,'parent(lucas,lottie)': -1}) def test_chain1(self): rules = ['p(X,Z):-sister(X,Y),child(Y,Z).'] mode = 'p(i,o)' self.xgrad_check(rules,mode, [('sister',2)], [('william',['caroline','elizabeth'])], {'sister(william,rachel)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules,mode, [('child',2)], [('william',['caroline','elizabeth'])], {'child(rachel,elizabeth)': +1,'child(lottie,lucas)': -1}) self.xgrad_check(rules,mode, [('child',2),('sister',2)], [('william',['caroline','elizabeth'])], {'child(rachel,elizabeth)': +1,'child(lottie,lucas)': -1, 'sister(william,rachel)': +1,'sister(william,lottie)': -1}) def test_chain2(self): rules = ['p(X,Z):-spouse(X,Y),sister(Y,Z).'] mode = 'p(i,o)' self.xgrad_check(rules,mode, [('sister',2)], [('susan',['rachel'])], {'sister(william,rachel)': +1,'sister(william,lottie)': -1}) def test_call1(self): rules = ['q(X,Y):-sister(X,Y).','p(Z,W):-q(Z,W).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_call2(self): rules = ['q(X,Y):-sister(X,Y).','p(Z,W):-r(Z,W).','r(Z,W):-q(Z,W).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_split(self): rules = ['p(X,Y):-sister(X,Y),child(Y,Z),young(Z).'] mode = 'p(i,o)' params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'child(lottie,lucas)': +1,'child(lottie,charlotte)': +1,'child(sarah,poppy)': -1}) params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,lottie)': +1,'sister(william,sarah)': -1}) def test_or(self): rules = ['p(X,Y):-child(X,Y).', 'p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'sister(william,rachel)': +1,'sister(william,sarah)': -1,'sister(william,lottie)': -1}) params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'child(william,charlie)': +1,'child(william,josh)': -1}) params = [('child',2),('sister',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'child(william,charlie)': +1,'child(william,josh)': -1,'sister(william,rachel)': +1,'sister(william,sarah)': -1}) def test_weighted_vec(self): rules = ['p(X,Y):-sister(X,Y),assign(R,r1),feat(R).','p(X,Y):-child(X,Y),assign(R,r2),feat(R).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','charlie'])], {'sister(william,rachel)': +1,'sister(william,sarah)': -1}) params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','charlie'])], {'child(william,charlie)': +1,'child(william,josh)': -1}) params = [('feat',1)] self.xgrad_check(rules, mode, params, [('william',['josh','charlie'])], {'feat(r1)': -1,'feat(r2)': +1}) self.xgrad_check(rules, mode, params, [('william',['rachel','sarah','lottie'])], {'feat(r1)': +1,'feat(r2)': -1}) def learnxc_check(self,rule_strings,mode_string,params,xyPairs,expected): print("XLearner loss/grad eval") rules = testtensorlog.rules_from_strings(rule_strings) prog = program.Program(db=self.db,rules=rules) mode = declare.ModeDeclaration(mode_string) prog.db.clearParameterMarkings() for (functor,arity) in params: prog.db.markAsParameter(functor,arity) # TODO: not working yet for mini-batches so check each example # individually for x,ys in xyPairs: data = testtensorlog.DataBuffer(self.db) data.add_data_symbols(x,ys) for compilerClass in TESTED_COMPILERS: xc = compilerClass(prog) print('learner check for compiler',xc.__class__) learner = learnxc.XLearner(prog,xc) paramsWithUpdates = learner.crossEntropyGrad(mode,data.get_x(),data.get_y()) updates_with_string_keys = {} for (functor,arity),up in paramsWithUpdates: print('testxcomp update for',functor,arity,'is',up) upDict = prog.db.matrixAsPredicateFacts(functor,arity,up) print('upDict',upDict) for fact,grad_of_fact in list(upDict.items()): # need to flip for cross-compilers updates_with_string_keys[str(fact)] = -grad_of_fact self.check_directions(updates_with_string_keys,expected) def xgrad_check(self,rule_strings,mode_string,params,xyPairs,expected): print("direct loss/grad eval") rules = testtensorlog.rules_from_strings(rule_strings) prog = program.Program(db=self.db,rules=rules) prog.db.clearParameterMarkings() for (functor,arity) in params: prog.db.markAsParameter(functor,arity) for x,ys in xyPairs: data = testtensorlog.DataBuffer(self.db) data.add_data_symbols(x,ys) for compilerClass in TESTED_COMPILERS: xc = compilerClass(prog) print('grad check for compiler',xc.__class__) gradFun = xc.dataLossGradFunction(mode_string) updates_with_string_keys = {} paramsWithUpdates = gradFun(data.get_x(),data.get_y()) for (functor,arity),up in paramsWithUpdates: upDict = prog.db.matrixAsPredicateFacts(functor,arity,up) for fact,grad_of_fact in list(upDict.items()): # need to flip for cross-compilers updates_with_string_keys[str(fact)] = -grad_of_fact self.check_directions(updates_with_string_keys,expected) self.learnxc_check(rule_strings,mode_string,params,xyPairs,expected) close_cross_compiler(xc) class TestXCProPPR(testtensorlog.TestProPPR): def setUp(self): super(TestXCProPPR,self).setUp() def debug(self): return self def evalxc(self,xc,input): inferenceFun = xc.inferenceFunction('predict/io') print(inferenceFun) rawPred = inferenceFun(input) # trim small numbers to zero pred = mutil.mapData(lambda d:np.clip((d - 1e-5),0.00,9999.99), rawPred) pred.eliminate_zeros() return pred def testNativeRow(self): for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) for i in range(self.numExamples): pred = self.evalxc(xc, self.X.getrow(i)) d = self.prog.db.rowAsSymbolDict(pred) uniform = {'pos':0.5,'neg':0.5} self.check_dicts(d,uniform) close_cross_compiler(xc) def testNativeMatrix(self): for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) xc.ensureCompiled(self.mode,inputs=None) pred = self.prog.eval(self.mode,[self.X]) d0 = self.prog.db.matrixAsSymbolDict(pred) for i,d in list(d0.items()): uniform = {'pos':0.5,'neg':0.5,} self.check_dicts(d,uniform) close_cross_compiler(xc) def testGradVector(self): data = testtensorlog.DataBuffer(self.prog.db) X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) learner = learn.OnePredFixedRateGDLearner(self.prog) for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) #xc.compile(self.mode) gradFun = xc.dataLossGradFunction('predict/io') for i in range(X.shape[0]): print("example",i) updates = learner.crossEntropyGrad(declare.ModeDeclaration('predict(i,o)'),X[i],Y[i]) w0 = updates[('weighted',1)].sum(axis=0) print(w0) updates = gradFun(X[i],Y[i]) paramKey,w = updates[0] print(w) # w is different from the w in the corresponding testtensorlog test, # which is a crossEntropy gradient for each example, but it should have # opposite directions nrow,ncol = w.shape for i in range(nrow): for j in range(ncol): self.assertTrue((w[i,j]==0) == (w0[i,j]==0)) self.assertTrue(w[i,j] * w0[i,j] <= 0) def testGradMatrix(self): data = testtensorlog.DataBuffer(self.prog.db) X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) learner = learn.OnePredFixedRateGDLearner(self.prog) updates = learner.crossEntropyGrad(declare.ModeDeclaration('predict(i,o)'),X,Y) w0 = updates[('weighted',1)].sum(axis=0) for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) #xc.compile(self.mode) gradFun = xc.dataLossGradFunction('predict/io') updates = gradFun(X,Y) paramKey,w = updates[0] # w is different from the w in the corresponding testtensorlog test, # which is a crossEntropy gradient for each example, but it should have # opposite directions nrow,ncol = w.shape for i in range(nrow): for j in range(ncol): self.assertTrue((w[i,j]==0) == (w0[i,j]==0),"i=%d,j=%d,w=%g,w0=%g"%(i,j,w[i,j],w0[i,j])) self.assertTrue(w[i,j] * w0[i,j] <= 0.0,"i=%d,j=%d,w=%g,w0=%g"%(i,j,w[i,j],w0[i,j])) close_cross_compiler(xc) def testMultiLearn1(self): pass def testLearn(self): mode = declare.ModeDeclaration('predict(i,o)') modestr = 'predict/io' X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) for compilerClass in TESTED_COMPILERS: self.prog.setRuleWeights() self.prog.setFeatureWeights() if SAVE_SUMMARIES: xc = compilerClass(self.prog,compilerClass.__name__+".summary") else: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) v = self.prog.db.getParameter('weighted',1) d = self.prog.db.rowAsSymbolDict(v) # sanity check a couple of values self.assertTrue(d['little_pos'] == d['little_neg']) self.assertTrue(d['big_pos'] == d['big_neg']) # optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) lossFun = xc.dataLossFunction('predict/io') loss0 = lossFun(X,Y) print('initial train data loss',loss0) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) loss1 = lossFun(TX,TY) print('initial test data loss',loss1) P = learner.predict('predict/io',X) #acc0 = xc.accuracy('predict/io',X,Y) acc0 = learner.accuracy(Y,P) print('initial train accuracy',acc0) TP = learner.predict('predict/io',TX) #acc1 = xc.accuracy('predict/io',TX,TY) acc1 = learner.accuracy(TY,TP) print('initial test accuracy',acc1) print('params to optimize',xc.prog.getParamList()) print('vars to optimize',xc.getParamVariables('predict/io')) # xc.optimizeDataLoss('predict/io', optimizer, X, Y, epochs=20) learner.trainMode('predict/io',X,Y) loss2 = lossFun(X,Y) print('final train data loss',loss2) loss3 = lossFun(TX,TY) print('final test data loss',loss3) P2 = learner.predict('predict/io',X) #acc2 = xc.accuracy('predict/io',X,Y) acc2 = learner.accuracy(Y,P2) print('final train accuracy',acc2) TP2 = learner.predict('predict/io',TX) #acc3 = xc.accuracy('predict/io',TX,TY) acc3 = learner.accuracy(TY,TP2) print('final test accuracy',acc3) xc.exportAllLearnedParams() v = self.prog.db.getParameter('weighted',1) d = self.prog.db.rowAsSymbolDict(v) # sanity check a couple of values self.assertTrue(d['little_pos'] > d['little_neg']) self.assertTrue(d['big_pos'] < d['big_neg']) close_cross_compiler(xc) self.assertTrue(acc2>=acc0) self.assertTrue(acc3>=acc1) self.assertTrue(loss2<loss0) self.assertTrue(loss2<loss1) self.assertTrue(acc2>=0.9) self.assertTrue(acc2==1.0) def testDatasetPredict(self): mode = declare.ModeDeclaration('predict(i,o)') modestr = 'predict/io' X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) for compilerClass in TESTED_COMPILERS: self.prog.setRuleWeights() self.prog.setFeatureWeights() if SAVE_SUMMARIES: xc = compilerClass(self.prog,compilerClass.__name__+".summary") else: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) P = learner.predict(mode,X) print("X",X.shape) print("P",P.shape) self.assertTrue(X.shape==P.shape) P = learner.datasetPredict(dataset.Dataset({mode:X},{mode:Y})) print("X",X.shape) print("P",P.getX(mode).shape) self.assertTrue(X.shape==P.getX(mode).shape) return xc,learner,X,Y,P def testExptScaffold(self): mode = declare.ModeDeclaration('predict(i,o)') X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) self.prog.setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) Expt({'prog':self.prog, 'trainData':dataset.Dataset({mode:X},{mode:Y}), 'testData':dataset.Dataset({mode:TX},{mode:TY}), 'targetMode':mode, 'learner':learner }).run() @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testExpt(self): mode = declare.ModeDeclaration('predict(i,o)') X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(self.prog) xc.runExpt( prog=self.prog, trainData=dataset.Dataset({mode:X},{mode:Y}), testData=dataset.Dataset({mode:TX},{mode:TY}), targetMode=mode) close_cross_compiler(xc) class TestXCOpGen(unittest.TestCase): # TODO tests for other xcompilers? @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyTypes(self): matrixdb.conf.ignore_types = False tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_small_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) mode = list(trainData.keys())[0] docs,labels = trainData[mode] xc = tlog.get_cross_compiler() ops = xc.possibleOps(docs,'doc') print('doc ops',ops) self.assertTrue(len(ops)==1) (words,wordType) = ops[0] self.assertTrue(wordType=='word') ops = xc.possibleOps(words,'word') self.assertTrue(len(ops)==3) pairs = None for (expr,exprType) in ops: if exprType=='labelWordPair': pairs = expr break self.assertTrue(pairs is not None) ops = xc.possibleOps(pairs,'labelWordPair') self.assertTrue(len(ops)==2) for (expr,exprType) in ops: self.assertTrue(exprType=='word') close_cross_compiler(xc) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyIgnoringTypes(self): matrixdb.conf.ignore_types = True tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_small_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) mode = list(trainData.keys())[0] docs,labels = trainData[mode] xc = tlog.get_cross_compiler() ops = xc.possibleOps(docs) binary_predicates = [functor for (functor,arity) in tlog.db.matEncoding if arity==2] self.assertTrue(len(ops) == len(binary_predicates)*2) for x in ops: # ops should just be tensors self.assertFalse(isinstance(x,tuple)) close_cross_compiler(xc) class TestXCExpt(unittest.TestCase): def testTCToyTypes_wscaffold(self): matrixdb.conf.ignore_types = False optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) optdict['prog'].setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(optdict['prog']) learner = TESTED_LEARNERS[compilerClass](optdict['prog'],xc) Expt({ 'prog':optdict['prog'], 'trainData':optdict['trainData'], 'testData':optdict['testData'], 'learner':learner, 'targetMode':declare.asMode("predict/io") }).run() pbDoc = xc.db.onehot('pb','doc') self.checkXC(xc,'predict/io',pbDoc,{'negPair':115,'posPair':115,'hasWord':59,'weighted':115,'label':5}) # some checks on the output of pprint lines = xc.pprint('predict/io') self.assertTrue(lines[0].find("SoftMaxFunction") >= 0) self.assertTrue(lines[1].find("SumFunction") >= 0) self.assertEqual(len(lines), 16) # some checks on misc xcomp API self.assertEqual(xc.inferenceOutputType('predict/io'),'label') pbId = xc.asSymbolId('pb',typeName='doc') pbSym = xc.asSymbol(pbId,typeName='doc') self.assertEqual(pbSym,'pb') self.assertEqual(xc.asSymbolId('this does not appear in the data',typeName='doc'), -1) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyTypes(self): matrixdb.conf.ignore_types = False optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(optdict['prog']) xc.runExpt( prog=optdict['prog'], trainData=optdict['trainData'], testData=optdict['testData'], targetMode=declare.asMode("predict/io")) # check trainability for (functor,arity) in xc.db.matEncoding: v = xc.parameterFromDBToVariable(functor,arity) if v is not None: vIsTrainable = (v in tf.trainable_variables()) vIsParameter = ((functor,arity) in xc.db.paramSet) self.assertEqual(vIsTrainable,vIsParameter) pbDoc = xc.db.onehot('pb','doc') self.checkXC(xc,'predict/io',pbDoc,{'negPair':115,'posPair':115,'hasWord':59,'weighted':115,'label':5}) # some checks on the output of pprint lines = xc.pprint('predict/io') self.assertTrue(lines[0].find("SoftMaxFunction") >= 0) self.assertTrue(lines[1].find("SumFunction") >= 0) self.assertEqual(len(lines), 16) # some checks on misc xcomp API self.assertEqual(xc.inferenceOutputType('predict/io'),'label') pbId = xc.asSymbolId('pb',typeName='doc') pbSym = xc.asSymbol(pbId,typeName='doc') self.assertEqual(pbSym,'pb') self.assertEqual(xc.asSymbolId('this does not appear in the data',typeName='doc'), -1) close_cross_compiler(xc) def testTCToyIgnoringTypes_wscaffold(self): matrixdb.conf.ignore_types = True optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) optdict['prog'].setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(optdict['prog']) learner = TESTED_LEARNERS[compilerClass](optdict['prog'],xc) Expt({ 'prog':optdict['prog'], 'trainData':optdict['trainData'], 'testData':optdict['testData'], 'learner':learner, 'targetMode':declare.asMode("predict/io") }).run() pbDoc = xc.db.onehot('pb') self.checkXC(xc,'predict/io',pbDoc,collections.defaultdict(lambda:191)) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyIgnoringTypes(self): matrixdb.conf.ignore_types = True optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(optdict['prog']) xc.runExpt( prog=optdict['prog'], trainData=optdict['trainData'], testData=optdict['testData'], targetMode=declare.asMode("predict/io")) pbDoc = xc.db.onehot('pb') self.checkXC(xc,'predict/io',pbDoc,collections.defaultdict(lambda:191)) close_cross_compiler(xc) def checkXC(self,xc,mode,rawInput,expectedCols): print('matrixdb.conf.ignore_types',matrixdb.conf.ignore_types) db = xc.db for (functor,arity),mat in list(db.matEncoding.items()): print(functor,arity,'shape',mat.shape) r,c = mat.shape self.assertEqual(c,expectedCols[functor]) inferenceFun = xc.inferenceFunction(mode) y = inferenceFun(rawInput) r,c = y.shape self.assertEqual(c,expectedCols['label']) class TestMultiModeXC(unittest.TestCase): def setUp(self): self.db = matrixdb.MatrixDB.loadFile( os.path.join(testtensorlog.TEST_DATA_DIR,'matchtoy.cfacts')) self.prog = program.ProPPRProgram.loadRules( os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.ppr"),db=self.db) self.dset = dataset.Dataset.loadExamples( self.db, os.path.join(testtensorlog.TEST_DATA_DIR,'matchtoy-train.exam'),proppr=False) self.prog.setAllWeights() def testInScaffold(self): print(TESTED_COMPILERS) self.assertTrue(self.dset.modesToLearn() > 1) self.prog.setAllWeights() for compilerClass in TESTED_COMPILERS: print(compilerClass) xc = compilerClass(self.prog) # compile everything for mode in self.dset.modesToLearn(): xc.ensureCompiled(mode) learner = TESTED_LEARNERS[compilerClass](self.prog,xc) testAcc,testXent = Expt({ 'prog':self.prog, 'trainData':self.dset, 'testData':self.dset, 'learner':learner, 'savedTestPredictions':'TestMultiModeXC.testInScaffold.%s.solutions.txt'%compilerClass.__name__ }).run() print(testAcc) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testIt(self): self.assertTrue(self.dset.modesToLearn() > 1) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(self.prog) # compile everything for mode in self.dset.modesToLearn(): xc.ensureCompiled(mode,inputs=None) # check the variables optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) session = tf.Session() session.run(tf.global_variables_initializer()) # set up for training trainStep = {} for mode in self.dset.modesToLearn(): (dataLossArgs,dataLossExpr) = xc.dataLoss(mode) trainStep[mode] = optimizer.minimize(dataLossExpr, var_list=xc.getParamVariables(mode)) # train for i in range(2): #epochs for mode in self.dset.modesToLearn(): X = self.dset.getX(mode) Y = self.dset.getY(mode) fd = xc.getFeedDict(mode,X,Y,wrapped=False) session.run(trainStep[mode],feed_dict=fd) # test for mode in self.dset.modesToLearn(): X = self.dset.getX(mode) Y = self.dset.getY(mode) Y_ = xc.inferenceFunction(mode)(X) acc = xc.accuracy(mode,X,Y) print('mode',mode,'acc',acc) session.close() close_cross_compiler(xc) class TestMatParams(unittest.TestCase): def setUp(self): self.cacheDir = tempfile.mkdtemp() def cacheFile(self,fileName): return os.path.join(self.cacheDir,fileName) def testMToyMatParam(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.ppr")) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy-train.exam")) tlog.db.markAsParameter('dabbrev',2) factDict = tlog.db.matrixAsPredicateFacts('dabbrev',2,tlog.db.matEncoding[('dabbrev',2)]) print('before learning',len(factDict),'dabbrevs') self.assertTrue(len(factDict)==5) for f in sorted(factDict.keys()): print('>',str(f),factDict[f]) # expt pipeline mode = list(trainData.keys())[0] TX,TY = trainData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=TY.shape, name='tensorlog/trueY') loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) for i in range(5): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) tlog.set_all_db_params_to_learned_values(session) # params = {'prog':prog,'trainData':trainData, 'testData':testData} # result = expt.Expt(params).run() # factDict = db.matrixAsPredicateFacts('dabbrev',2,db.matEncoding[('dabbrev',2)]) # print 'after learning',len(factDict),'dabbrevs' # for f in sorted(factDict.keys()): # print '>',str(f),factDict[f] # self.assertTrue(len(factDict)>5) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") class TestSimple(unittest.TestCase): def testEmptyRules(self): # should not throw an error tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) def testIncrementalDBLoad(self): b = simple.Builder() predict,label,hasWord,posPair,negPair = b.predicates("predict,label,hasWord,posPair,negPair") doc_t,label_t,word_t,labelWordPair_t = b.types("doc_t,label_t,word_t,labelWordPair_t") b.schema += predict(doc_t,label_t) & label(label_t) b.schema += hasWord(doc_t,word_t) & posPair(word_t,labelWordPair_t) & negPair(word_t,labelWordPair_t) for basename in "textcattoy_corpus.cfacts textcattoy_labels.cfacts textcattoy_pairs.cfacts".split(" "): b.db += os.path.join(testtensorlog.TEST_DATA_DIR, basename) tlog = simple.Compiler(db=b.db) for (functor,arity,nnz) in [('hasWord',2,99),('label',1,2),('negPair',2,56)]: m = tlog.db.matEncoding[(functor,arity)] self.assertTrue(m.nnz == nnz) def testBatch(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] TX,TY = trainData[mode] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) # test a round-trip serialization # saves the db cacheDir = tempfile.mkdtemp() db_file = os.path.join(cacheDir,'simple.db') tlog.set_all_db_params_to_learned_values(session) tlog.serialize_db(db_file) # load everything into a new graph and don't reset the learned params new_graph = tf.Graph() with new_graph.as_default(): tlog2 = simple.Compiler( db=db_file, prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), autoset_db_params=False) # reconstruct the accuracy measure inference2 = tlog2.inference(mode) trueY2 = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY2') correct2 = tf.equal(tf.argmax(trueY2,1), tf.argmax(inference2,1)) accuracy2 = tf.reduce_mean(tf.cast(correct2, tf.float32)) # eval accuracy in a new session session2 = tf.Session() session2.run(tf.global_variables_initializer()) test_batch_fd2 = {tlog2.input_placeholder_name(mode):UX, trueY2.name:UY} acc3 = session2.run(accuracy2, feed_dict=test_batch_fd2) print('accuracy after round-trip serialization',acc3) self.assertTrue(acc3>=0.9) session.close() def testMinibatch(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) self.runTextCatLearner(tlog) def runTextCatLearner(self,tlog): trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1, end=' ') for mode,(TX,TY) in tlog.minibatches(trainData,batch_size=2): print('.', end=' ') train_minibatch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session.run(train_step, feed_dict=train_minibatch_fd) print('epoch',i+1,'finished') acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) session.close() def testBuilder1(self): b = simple.Builder() X,Y,Z = b.variables("X Y Z") aunt,parent,sister,wife = b.predicates("aunt parent sister wife") uncle = b.predicate("uncle") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) b += aunt(X,Y) <= parent(X,Z) & sister(Z,Y) r1 = b.rule_id("ruleid_t","r1") r2 = b.rule_id("ruleid_t","r2") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) // r1 b += aunt(X,Y) <= parent(X,Z) & sister(Z,Y) // r2 feature,description = b.predicates("feature description") weight = b.predicate("weight") F = b.variable("F") D = b.variable("D") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) // (weight(F) | description(X,D) & feature(X,F)) b.rules.listing() rs = b.rules.rulesFor(parser.Goal('aunt',[X,Y])) self.assertEqual(str(rs[0]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y).") self.assertEqual(str(rs[1]), "aunt(X,Y) :- parent(X,Z), sister(Z,Y).") self.assertEqual(str(rs[2]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y) {weight(R1) : assign(R1,r1,ruleid_t)}.") self.assertEqual(str(rs[3]), "aunt(X,Y) :- parent(X,Z), sister(Z,Y) {weight(R2) : assign(R2,r2,ruleid_t)}.") self.assertEqual(str(rs[4]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y) {weight(F) : description(X,D),feature(X,F)}.") def testBuilder2(self): b = simple.Builder() predict,assign,weighted,hasWord,posPair,negPair = b.predicates("predict assign weighted hasWord posPair negPair") X,Pos,Neg,F,W = b.variables("X Pos Neg F W") b += predict(X,Pos) <= assign(Pos,'pos','label') // (weighted(F) | hasWord(X,W) & posPair(W,F)) b += predict(X,Neg) <= assign(Neg,'neg','label') // (weighted(F) | hasWord(X,W) & negPair(W,F)) dbSpec = os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts") self.runTextCatLearner(simple.Compiler(db=dbSpec,prog=b.rules)) def testBuilder3(self): b = simple.Builder() predict,assign,weighted,hasWord,posPair,negPair,label = b.predicates("predict assign weighted hasWord posPair negPair label") doc_t,label_t,word_t,labelWordPair_t = b.types("doc_t label_t word_t labelWordPair_t") b.schema += predict(doc_t,label_t) b.schema += hasWord(doc_t,word_t) b.schema += posPair(word_t,labelWordPair_t) b.schema += negPair(word_t,labelWordPair_t) b.schema += label(label_t) X,Pos,Neg,F,W = b.variables("X Pos Neg F W") b.rules += predict(X,Pos) <= assign(Pos,'pos','label_t') // (weighted(F) | hasWord(X,W) & posPair(W,F)) b.rules += predict(X,Neg) <= assign(Neg,'neg','label_t') // (weighted(F) | hasWord(X,W) & negPair(W,F)) # use the untyped version of the facts to make sure the schema works b.db = os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy.cfacts") self.runTextCatLearner(simple.Compiler(db=b.db, prog=b.rules)) class TestReparameterizationAndTypedLoading(unittest.TestCase): def testBugWasFixed(self): # use the untyped version of the facts to make sure the schema works db = matrixdb.MatrixDB() db.addLines(["# :- r(lo_or_hi_t)\n", "\t".join("r low 0.1".split()) + "\n", "\t".join("r hi 0.9".split()) + "\n"]) db.markAsParameter('r',1) prog = program.Program(db=db) typeName = db.schema.getArgType("r",1,0) idLow = db.schema.getId(typeName,"low") idHi = db.schema.getId(typeName,"hi") db_r = db.matEncoding[('r',1)] self.approxEqual(db_r[0,idLow], 0.1) self.approxEqual(db_r[0,idHi], 0.9) xc = tensorflowxcomp.SparseMatDenseMsgCrossCompiler(prog) v_r = xc._vector(declare.asMode("r(i)")) session = tf.Session() session.run(tf.global_variables_initializer()) xc.exportAllLearnedParams() print('exported to xc',db.matEncoding[('r',1)]) db_r = db.matEncoding[('r',1)] self.approxEqual(db_r[0,idLow], 0.1) self.approxEqual(db_r[0,idHi], 0.9) def approxEqual(self,a,b): self.assertTrue(abs(float(a)-b) < 0.0001) class TestPlugins(unittest.TestCase): def test_identity_io(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp1(Pos,Y) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp1(Neg,Y) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp1/io', lambda x:x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_identity_oi(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp2(Y,Pos) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp2(Y,Neg) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp2/oi', lambda x:x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_double_io1(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp3(Pos,Y) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp3(Neg,Y) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp3/io', lambda x:2*x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_double_io2(self): ruleStrings = ['predict(X,Pos) :- assign(Pos,pos,label) {weighted(F): hasWord(X,W),double(W,W2),posPair(W2,F)}.', 'predict(X,Neg) :- assign(Neg,neg,label) {weighted(F2): hasWord(X,W),negPair(W,F),double(F,F2)}.'] plugins = program.Plugins() plugins.define('double/io', lambda x:2*x, lambda inputType:inputType) self.check_learning_with_udp(ruleStrings,plugins) def test_kw_i(self): ruleStrings = ['predict(X,Pos) :- assign(Pos,pos,label),hasWord(X,W),poskw(W).', 'predict(X,Neg) :- assign(Neg,neg,label),hasWord(X,W),negkw(W).'] plugins = program.Plugins() db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) poskw_v = (db.onehot('little','word') + db.onehot('red','word')).todense() negkw_v = (db.onehot('big','word') + db.onehot('job','word') + db.onehot('huge','word')).todense() plugins.define('poskw/i', lambda:poskw_v, lambda:'word') plugins.define('negkw/i', lambda:negkw_v, lambda:'word') self.check_udp(ruleStrings,plugins) def check_udp(self,ruleStrings,plugins): db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(testData.keys())[0] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} session = tf.Session() session.run(tf.global_variables_initializer()) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) session.close() # TOFIX needs some work to pass # - you can't do polytree BP with multiple inputs # - so there's not a simple fix # - probably do this: (1) treat inputs to leftmost userDef as outputs (2) run message-passing for those outputs # (3) add the user def operator (4) repeat .... (5) when there are no more plugins def notest_isect_iio(self): bpcompiler.conf.trace = True ruleStrings = ['predict(X,Y) :- hasWord(X,W),posPair(W,P1),negPair(W,P2),isect(P1,P2,Y).'] plugins = program.Plugins() plugins.define('isect/iio', lambda x1,x2:x1*x2, lambda t1,t2:t1) self.assertTrue(plugins.isDefined(declare.asMode('isect/iio'))) self.check_learning_with_udp(ruleStrings,plugins) def argmax(self): bpcompiler.conf.trace = True ruleStrings = ['predict(X,Y):-olympics(X,Z),nations(Z),argmax(Z,Y).'] plugins = program.Plugins() plugins.define('argmax/io',lambda x1:tf.nn.softmax(x1), lambda t1:t1) db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,'argmax.cfacts')) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) prog.setAllWeights() mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) data = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"argmax.exam")) mode = list(data.keys())[0] UX,UY = data[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0>0.9) session.close() # acc0 = session.run(inference, feed_dict=test_batch_fd) # print "inference results:" # print acc0 # print np.argmax(acc0,1) # print "trueY:" # print UY # print np.argmax(UY,1) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def check_learning_with_udp(self,ruleStrings,plugins,dbfile=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")): db = matrixdb.MatrixDB.loadFile(dbfile) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) prog.setAllWeights() mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] TX,TY = trainData[mode] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) session.close() if __name__ == "__main__": logging.basicConfig(level=logging.INFO) # default is to test on everything adding command line arguments # 'tensorflow' 'theano' 'sparse' 'dense' filters the list (so # 'testxcomp.py tensorflow sparse' will run just # tensorflowxcomp.SparseMatDenseMsgCrossCompiler) if 'theano' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__module__.endswith("theanoxcomp")] if 'tensorflow' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__module__.endswith("tensorflowxcomp")] if 'dense' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__name__.startswith("Dense")] if 'sparse' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__name__.startswith("Sparse")] sys.argv = [a for a in sys.argv if a not in "theano tensorflow dense sparse".split()] print('TESTED_COMPILERS',TESTED_COMPILERS) unittest.main()

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import logging import numpy as np import os import unittest import sys import collections import tempfile from tensorlog import xctargets if xctargets.tf: import tensorflow as tf from tensorlog import tensorflowxcomp else: tensorflowxcomp=None if xctargets.theano: import theano from tensorlog import theanoxcomp else: theanoxcomp=None from tensorlog import bpcompiler from tensorlog import comline from tensorlog import dataset from tensorlog import declare from tensorlog import matrixdb from tensorlog import learn from tensorlog import mutil from tensorlog import parser from tensorlog import program from tensorlog import simple from tensorlog import testtensorlog from tensorlog import funs from tensorlog import ops from tensorlog import learnxcomp as learnxc from tensorlog.expt import Expt if xctargets.tf: tf.logging.set_verbosity(tf.logging.WARN) TESTED_COMPILERS = [] TESTED_LEARNERS = {} if xctargets.theano: for c in [ theanoxcomp.DenseMatDenseMsgCrossCompiler, theanoxcomp.SparseMatDenseMsgCrossCompiler ]: TESTED_COMPILERS.append(c) TESTED_LEARNERS[c]=theanoxcomp.FixedRateGDLearner if xctargets.tf: for c in [ tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler, ]: TESTED_COMPILERS.append(c) TESTED_LEARNERS[c]=tensorflowxcomp.FixedRateGDLearner RUN_OLD_INFERENCE_TESTS = False SAVE_SUMMARIES = False def close_cross_compiler(xc): xc.close() if xctargets.tf and isinstance(xc,tensorflowxcomp.TensorFlowCrossCompiler): tf.reset_default_graph() class TestXCSmallProofs(testtensorlog.TestSmallProofs): def test_if(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).'], 'p(i,o)', 'william', {'susan':1.0}) def test_failure(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).'], 'p(i,o)', 'lottie', {matrixdb.NULL_ENTITY_NAME:1.0}) def test_reverse_if(self): self.xcomp_check(['p(X,Y):-sister(Y,X).'], 'p(i,o)', 'rachel', {'william':1.0}) def test_or(self): self.xcomp_check(['p(X,Y):-spouse(X,Y).', 'p(X,Y):-sister(X,Y).'], 'p(i,o)', 'william', {'susan':1.0, 'rachel':1.0, 'lottie':1.0, 'sarah':1.0}) def test_chain(self): self.xcomp_check(['p(X,Z):-spouse(X,Y),sister(Y,Z).'], 'p(i,o)', 'susan', {'rachel':1.0, 'lottie':1.0, 'sarah':1.0}) self.xcomp_check(['p(X,Z):-sister(X,Y),child(Y,Z).'], 'p(i,o)', 'william', {'charlotte':1.0, 'lucas':1.0, 'poppy':1.0, 'caroline':1.0, 'elizabeth':1.0}) def test_mid(self): self.xcomp_check(['p(X,Y):-sister(X,Y),child(Y,Z).'], 'p(i,o)', 'william', {'sarah': 1.0, 'rachel': 2.0, 'lottie': 2.0}) def test_nest(self): self.xcomp_check(['s(X,Y):-spouse(X,Y).','t(X,Z):-spouse(X,Y),s(Y,Z).'], 't(i,o)', 'susan', {'susan': 1.0}) def test_back1(self): self.xcomp_check(['p(X,Y):-spouse(X,Y),sister(X,Z).'], 'p(i,o)', 'william', {'susan': 3.0}) def test_back2(self): self.xcomp_check(['p(X,Y):-spouse(X,Y),sister(X,Z1),sister(X,Z2).'],'p(i,o)','william',{'susan': 9.0}) def test_rec1(self): program.DEFAULT_MAXDEPTH=4 self.xcomp_check(['p(X,Y):-spouse(X,Y).','p(X,Y):-p(Y,X).'], 'p(i,o)','william',{'susan': 5.0}) program.DEFAULT_MAXDEPTH=10 self.xcomp_check(['p(X,Y):-spouse(X,Y).','p(X,Y):-p(Y,X).'], 'p(i,o)','william',{'susan': 11.0}) def test_const_output(self): self.xcomp_check(['sis(X,W):-assign(W,william),child(X,Y).'], 'sis(i,o)', 'sarah', {'william': 1.0}) self.xcomp_check(['sis(X,W):-assign(W,william),child(X,Y).'], 'sis(i,o)', 'lottie', {'william': 2.0}) def test_const_chain1(self): self.xcomp_check(['p(X,S) :- assign(S,susan),sister(X,Y),child(Y,Z).'],'p(i,o)','william',{'susan': 5.0}) def test_const_chain2(self): self.xcomp_check(['p(X,Pos) :- assign(Pos,pos),child(X,Y),young(Y).'],'p(i,o)','sarah',{'pos':1.0}) self.xcomp_check(['p(X,Pos) :- assign(Pos,pos),child(X,Y),young(Y).'],'p(i,o)','lottie',{'pos':2.0}) def test_alt_chain(self): self.xcomp_check(['p(X,W) :- spouse(X,W),sister(X,Y),child(Y,Z).'],'p(i,o)','william',{'susan': 5.0}) pass def test_proppr1(self): w = 7*self.db.onehot('r1')+3*self.db.onehot('r2') self.proppr_xcomp_check(w,['p(X,Y):-sister(X,Y) {r1}.','p(X,Y):-spouse(X,Y) {r2}.'],'p(i,o)', 'william', {'sarah': 7.0, 'rachel': 7.0, 'lottie': 7.0, 'susan': 3.0}) def test_proppr2(self): w = 3*self.db.onehot('r2') self.proppr_xcomp_check(w,['p(X,Y):-spouse(Y,X) {r2}.'],'p(i,o)', 'susan', {'william': 3.0}) def test_reuse1(self): self.xcomp_check(['p(X,Y) :- r(X,Z),r(Z,Y).', 'r(X,Y):-spouse(X,Y).'], 'p(i,o)', 'william', {'william':1.0}) def _removeZeros(self, sdict): if True: return sdict e = sdict[None] ret = dict([ (k,v-e) for (k,v) in list(sdict.items()) if v != e]) z = sum(ret.values()) for k in ret: ret[k] = ret[k]/z return ret def xcomp_check(self,ruleStrings,mode_string,input_symbol,expected_result_dict,compare=False): self._xcomp_check('vanilla',None,ruleStrings,mode_string,input_symbol,expected_result_dict,compare) def proppr_xcomp_check(self,weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict): self._xcomp_check('proppr',weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict) def _xcomp_check(self,progType,weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict,compare=False): if RUN_OLD_INFERENCE_TESTS: if progType=='proppr': self.proppr_inference_check(weightVec,ruleStrings,mode_string,input_symbol,expected_result_dict) else: self.inference_check(ruleStrings,mode_string,input_symbol,expected_result_dict) print('xcomp inference for mode',mode_string,'on input',input_symbol) testtensorlog.softmax_normalize(expected_result_dict) rules = parser.RuleCollection() for r in ruleStrings: rules.add(parser.Parser().parseRule(r)) if progType=='proppr': prog = program.ProPPRProgram(db=self.db,rules=rules,weights=weightVec) else: prog = program.Program(db=self.db,rules=rules) for compilerClass in TESTED_COMPILERS: xc = compilerClass(prog) print('== performing eval with',compilerClass,'==') inferenceFun = xc.inferenceFunction(mode_string) y = inferenceFun(prog.db.onehot(input_symbol)) # =',xc.inference(mode_string) theano output will a be (probably actual_result_dict = self.db.rowAsSymbolDict(y) self.check_maxes_in_dicts(actual_result_dict, expected_result_dict) l1_error = abs(sum(actual_result_dict.values()) - 1.0) #print 'l1_error',l1_error,'actual_result_dict',actual_result_dict,'expected_result_dict',expected_result_dict self.assertTrue( l1_error < 0.0001) # also test proofCountFun proofCountFun = xc.proofCountFunction(mode_string) pc = proofCountFun(prog.db.onehot(input_symbol)) # theano output will a be (probably dense) message, so # just compare that maximal elements from these two dicts # are the same pc_result_dict = self.db.rowAsSymbolDict(pc) if len(pc_result_dict)>0: self.check_maxes_in_dicts(pc_result_dict, expected_result_dict) print('== eval checks passed ==') close_cross_compiler(xc) def check_maxes_in_dicts(self,actual,expected): def maximalElements(d): m = max(d.values()) return set(k for k in d if d[k]==m) actualMaxes = maximalElements(actual) expectedMaxes = maximalElements(expected) print('actual',actualMaxes,'expected',expectedMaxes) for a in actualMaxes: self.assertTrue(a in expectedMaxes) for a in expectedMaxes: self.assertTrue(a in actualMaxes) class TestXCGrad(testtensorlog.TestGrad): def setUp(self): self.db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,'fam.cfacts')) def test_if(self): rules = ['p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_if2(self): rules = ['p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah']), ('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie']), ('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_reverse_if(self): rules = ['p(X,Y):-parent(Y,X).'] mode = 'p(i,o)' params = [('parent',2)] self.xgrad_check(rules, mode, params, [('lottie',['charlotte'])], {'parent(charlotte,lottie)': +1,'parent(lucas,lottie)': -1}) def test_chain1(self): rules = ['p(X,Z):-sister(X,Y),child(Y,Z).'] mode = 'p(i,o)' self.xgrad_check(rules,mode, [('sister',2)], [('william',['caroline','elizabeth'])], {'sister(william,rachel)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules,mode, [('child',2)], [('william',['caroline','elizabeth'])], {'child(rachel,elizabeth)': +1,'child(lottie,lucas)': -1}) self.xgrad_check(rules,mode, [('child',2),('sister',2)], [('william',['caroline','elizabeth'])], {'child(rachel,elizabeth)': +1,'child(lottie,lucas)': -1, 'sister(william,rachel)': +1,'sister(william,lottie)': -1}) def test_chain2(self): rules = ['p(X,Z):-spouse(X,Y),sister(Y,Z).'] mode = 'p(i,o)' self.xgrad_check(rules,mode, [('sister',2)], [('susan',['rachel'])], {'sister(william,rachel)': +1,'sister(william,lottie)': -1}) def test_call1(self): rules = ['q(X,Y):-sister(X,Y).','p(Z,W):-q(Z,W).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_call2(self): rules = ['q(X,Y):-sister(X,Y).','p(Z,W):-r(Z,W).','r(Z,W):-q(Z,W).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','sarah'])], {'sister(william,rachel)': +1,'sister(william,sarah)': +1,'sister(william,lottie)': -1}) self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,rachel)': -1,'sister(william,lottie)': +1}) def test_split(self): rules = ['p(X,Y):-sister(X,Y),child(Y,Z),young(Z).'] mode = 'p(i,o)' params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'child(lottie,lucas)': +1,'child(lottie,charlotte)': +1,'child(sarah,poppy)': -1}) params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['lottie'])], {'sister(william,lottie)': +1,'sister(william,sarah)': -1}) def test_or(self): rules = ['p(X,Y):-child(X,Y).', 'p(X,Y):-sister(X,Y).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'sister(william,rachel)': +1,'sister(william,sarah)': -1,'sister(william,lottie)': -1}) params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'child(william,charlie)': +1,'child(william,josh)': -1}) params = [('child',2),('sister',2)] self.xgrad_check(rules, mode, params, [('william',['charlie','rachel'])], {'child(william,charlie)': +1,'child(william,josh)': -1,'sister(william,rachel)': +1,'sister(william,sarah)': -1}) def test_weighted_vec(self): rules = ['p(X,Y):-sister(X,Y),assign(R,r1),feat(R).','p(X,Y):-child(X,Y),assign(R,r2),feat(R).'] mode = 'p(i,o)' params = [('sister',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','charlie'])], {'sister(william,rachel)': +1,'sister(william,sarah)': -1}) params = [('child',2)] self.xgrad_check(rules, mode, params, [('william',['rachel','charlie'])], {'child(william,charlie)': +1,'child(william,josh)': -1}) params = [('feat',1)] self.xgrad_check(rules, mode, params, [('william',['josh','charlie'])], {'feat(r1)': -1,'feat(r2)': +1}) self.xgrad_check(rules, mode, params, [('william',['rachel','sarah','lottie'])], {'feat(r1)': +1,'feat(r2)': -1}) def learnxc_check(self,rule_strings,mode_string,params,xyPairs,expected): print("XLearner loss/grad eval") rules = testtensorlog.rules_from_strings(rule_strings) prog = program.Program(db=self.db,rules=rules) mode = declare.ModeDeclaration(mode_string) prog.db.clearParameterMarkings() for (functor,arity) in params: prog.db.markAsParameter(functor,arity) # TODO: not working yet for mini-batches so check each example # individually for x,ys in xyPairs: data = testtensorlog.DataBuffer(self.db) data.add_data_symbols(x,ys) for compilerClass in TESTED_COMPILERS: xc = compilerClass(prog) print('learner check for compiler',xc.__class__) learner = learnxc.XLearner(prog,xc) paramsWithUpdates = learner.crossEntropyGrad(mode,data.get_x(),data.get_y()) updates_with_string_keys = {} for (functor,arity),up in paramsWithUpdates: print('testxcomp update for',functor,arity,'is',up) upDict = prog.db.matrixAsPredicateFacts(functor,arity,up) print('upDict',upDict) for fact,grad_of_fact in list(upDict.items()): # need to flip for cross-compilers updates_with_string_keys[str(fact)] = -grad_of_fact self.check_directions(updates_with_string_keys,expected) def xgrad_check(self,rule_strings,mode_string,params,xyPairs,expected): print("direct loss/grad eval") rules = testtensorlog.rules_from_strings(rule_strings) prog = program.Program(db=self.db,rules=rules) prog.db.clearParameterMarkings() for (functor,arity) in params: prog.db.markAsParameter(functor,arity) for x,ys in xyPairs: data = testtensorlog.DataBuffer(self.db) data.add_data_symbols(x,ys) for compilerClass in TESTED_COMPILERS: xc = compilerClass(prog) print('grad check for compiler',xc.__class__) gradFun = xc.dataLossGradFunction(mode_string) updates_with_string_keys = {} paramsWithUpdates = gradFun(data.get_x(),data.get_y()) for (functor,arity),up in paramsWithUpdates: upDict = prog.db.matrixAsPredicateFacts(functor,arity,up) for fact,grad_of_fact in list(upDict.items()): # need to flip for cross-compilers updates_with_string_keys[str(fact)] = -grad_of_fact self.check_directions(updates_with_string_keys,expected) self.learnxc_check(rule_strings,mode_string,params,xyPairs,expected) close_cross_compiler(xc) class TestXCProPPR(testtensorlog.TestProPPR): def setUp(self): super(TestXCProPPR,self).setUp() def debug(self): return self def evalxc(self,xc,input): inferenceFun = xc.inferenceFunction('predict/io') print(inferenceFun) rawPred = inferenceFun(input) # trim small numbers to zero pred = mutil.mapData(lambda d:np.clip((d - 1e-5),0.00,9999.99), rawPred) pred.eliminate_zeros() return pred def testNativeRow(self): for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) for i in range(self.numExamples): pred = self.evalxc(xc, self.X.getrow(i)) d = self.prog.db.rowAsSymbolDict(pred) uniform = {'pos':0.5,'neg':0.5} self.check_dicts(d,uniform) close_cross_compiler(xc) def testNativeMatrix(self): for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) xc.ensureCompiled(self.mode,inputs=None) pred = self.prog.eval(self.mode,[self.X]) d0 = self.prog.db.matrixAsSymbolDict(pred) for i,d in list(d0.items()): uniform = {'pos':0.5,'neg':0.5,} self.check_dicts(d,uniform) close_cross_compiler(xc) def testGradVector(self): data = testtensorlog.DataBuffer(self.prog.db) X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) learner = learn.OnePredFixedRateGDLearner(self.prog) for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) #xc.compile(self.mode) gradFun = xc.dataLossGradFunction('predict/io') for i in range(X.shape[0]): print("example",i) updates = learner.crossEntropyGrad(declare.ModeDeclaration('predict(i,o)'),X[i],Y[i]) w0 = updates[('weighted',1)].sum(axis=0) print(w0) updates = gradFun(X[i],Y[i]) paramKey,w = updates[0] print(w) # w is different from the w in the corresponding testtensorlog test, # which is a crossEntropy gradient for each example, but it should have # opposite directions nrow,ncol = w.shape for i in range(nrow): for j in range(ncol): self.assertTrue((w[i,j]==0) == (w0[i,j]==0)) self.assertTrue(w[i,j] * w0[i,j] <= 0) def testGradMatrix(self): data = testtensorlog.DataBuffer(self.prog.db) X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) learner = learn.OnePredFixedRateGDLearner(self.prog) updates = learner.crossEntropyGrad(declare.ModeDeclaration('predict(i,o)'),X,Y) w0 = updates[('weighted',1)].sum(axis=0) for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) #xc.compile(self.mode) gradFun = xc.dataLossGradFunction('predict/io') updates = gradFun(X,Y) paramKey,w = updates[0] # w is different from the w in the corresponding testtensorlog test, # which is a crossEntropy gradient for each example, but it should have # opposite directions nrow,ncol = w.shape for i in range(nrow): for j in range(ncol): self.assertTrue((w[i,j]==0) == (w0[i,j]==0),"i=%d,j=%d,w=%g,w0=%g"%(i,j,w[i,j],w0[i,j])) self.assertTrue(w[i,j] * w0[i,j] <= 0.0,"i=%d,j=%d,w=%g,w0=%g"%(i,j,w[i,j],w0[i,j])) close_cross_compiler(xc) def testMultiLearn1(self): pass def testLearn(self): mode = declare.ModeDeclaration('predict(i,o)') modestr = 'predict/io' X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) for compilerClass in TESTED_COMPILERS: self.prog.setRuleWeights() self.prog.setFeatureWeights() if SAVE_SUMMARIES: xc = compilerClass(self.prog,compilerClass.__name__+".summary") else: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) v = self.prog.db.getParameter('weighted',1) d = self.prog.db.rowAsSymbolDict(v) # sanity check a couple of values self.assertTrue(d['little_pos'] == d['little_neg']) self.assertTrue(d['big_pos'] == d['big_neg']) # optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) lossFun = xc.dataLossFunction('predict/io') loss0 = lossFun(X,Y) print('initial train data loss',loss0) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) loss1 = lossFun(TX,TY) print('initial test data loss',loss1) P = learner.predict('predict/io',X) #acc0 = xc.accuracy('predict/io',X,Y) acc0 = learner.accuracy(Y,P) print('initial train accuracy',acc0) TP = learner.predict('predict/io',TX) #acc1 = xc.accuracy('predict/io',TX,TY) acc1 = learner.accuracy(TY,TP) print('initial test accuracy',acc1) print('params to optimize',xc.prog.getParamList()) print('vars to optimize',xc.getParamVariables('predict/io')) # xc.optimizeDataLoss('predict/io', optimizer, X, Y, epochs=20) learner.trainMode('predict/io',X,Y) loss2 = lossFun(X,Y) print('final train data loss',loss2) loss3 = lossFun(TX,TY) print('final test data loss',loss3) P2 = learner.predict('predict/io',X) #acc2 = xc.accuracy('predict/io',X,Y) acc2 = learner.accuracy(Y,P2) print('final train accuracy',acc2) TP2 = learner.predict('predict/io',TX) #acc3 = xc.accuracy('predict/io',TX,TY) acc3 = learner.accuracy(TY,TP2) print('final test accuracy',acc3) xc.exportAllLearnedParams() v = self.prog.db.getParameter('weighted',1) d = self.prog.db.rowAsSymbolDict(v) # sanity check a couple of values self.assertTrue(d['little_pos'] > d['little_neg']) self.assertTrue(d['big_pos'] < d['big_neg']) close_cross_compiler(xc) self.assertTrue(acc2>=acc0) self.assertTrue(acc3>=acc1) self.assertTrue(loss2<loss0) self.assertTrue(loss2<loss1) self.assertTrue(acc2>=0.9) self.assertTrue(acc2==1.0) def testDatasetPredict(self): mode = declare.ModeDeclaration('predict(i,o)') modestr = 'predict/io' X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) for compilerClass in TESTED_COMPILERS: self.prog.setRuleWeights() self.prog.setFeatureWeights() if SAVE_SUMMARIES: xc = compilerClass(self.prog,compilerClass.__name__+".summary") else: xc = compilerClass(self.prog) self.prog.db.markAsParameter('weighted',1) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) P = learner.predict(mode,X) print("X",X.shape) print("P",P.shape) self.assertTrue(X.shape==P.shape) P = learner.datasetPredict(dataset.Dataset({mode:X},{mode:Y})) print("X",X.shape) print("P",P.getX(mode).shape) self.assertTrue(X.shape==P.getX(mode).shape) return xc,learner,X,Y,P def testExptScaffold(self): mode = declare.ModeDeclaration('predict(i,o)') X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) self.prog.setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(self.prog) learner = TESTED_LEARNERS[compilerClass](self.prog,xc=xc,rate=0.1,epochs=20) Expt({'prog':self.prog, 'trainData':dataset.Dataset({mode:X},{mode:Y}), 'testData':dataset.Dataset({mode:TX},{mode:TY}), 'targetMode':mode, 'learner':learner }).run() @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testExpt(self): mode = declare.ModeDeclaration('predict(i,o)') X,Y = testtensorlog.matrixAsTrainingData(self.labeledData,'train',2) TX,TY = testtensorlog.matrixAsTrainingData(self.labeledData,'test',2) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(self.prog) xc.runExpt( prog=self.prog, trainData=dataset.Dataset({mode:X},{mode:Y}), testData=dataset.Dataset({mode:TX},{mode:TY}), targetMode=mode) close_cross_compiler(xc) class TestXCOpGen(unittest.TestCase): # TODO tests for other xcompilers? @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyTypes(self): matrixdb.conf.ignore_types = False tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_small_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) mode = list(trainData.keys())[0] docs,labels = trainData[mode] xc = tlog.get_cross_compiler() ops = xc.possibleOps(docs,'doc') print('doc ops',ops) self.assertTrue(len(ops)==1) (words,wordType) = ops[0] self.assertTrue(wordType=='word') ops = xc.possibleOps(words,'word') self.assertTrue(len(ops)==3) pairs = None for (expr,exprType) in ops: if exprType=='labelWordPair': pairs = expr break self.assertTrue(pairs is not None) ops = xc.possibleOps(pairs,'labelWordPair') self.assertTrue(len(ops)==2) for (expr,exprType) in ops: self.assertTrue(exprType=='word') close_cross_compiler(xc) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyIgnoringTypes(self): matrixdb.conf.ignore_types = True tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_small_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) mode = list(trainData.keys())[0] docs,labels = trainData[mode] xc = tlog.get_cross_compiler() ops = xc.possibleOps(docs) binary_predicates = [functor for (functor,arity) in tlog.db.matEncoding if arity==2] self.assertTrue(len(ops) == len(binary_predicates)*2) for x in ops: # ops should just be tensors self.assertFalse(isinstance(x,tuple)) close_cross_compiler(xc) class TestXCExpt(unittest.TestCase): def testTCToyTypes_wscaffold(self): matrixdb.conf.ignore_types = False optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) optdict['prog'].setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(optdict['prog']) learner = TESTED_LEARNERS[compilerClass](optdict['prog'],xc) Expt({ 'prog':optdict['prog'], 'trainData':optdict['trainData'], 'testData':optdict['testData'], 'learner':learner, 'targetMode':declare.asMode("predict/io") }).run() pbDoc = xc.db.onehot('pb','doc') self.checkXC(xc,'predict/io',pbDoc,{'negPair':115,'posPair':115,'hasWord':59,'weighted':115,'label':5}) # some checks on the output of pprint lines = xc.pprint('predict/io') self.assertTrue(lines[0].find("SoftMaxFunction") >= 0) self.assertTrue(lines[1].find("SumFunction") >= 0) self.assertEqual(len(lines), 16) # some checks on misc xcomp API self.assertEqual(xc.inferenceOutputType('predict/io'),'label') pbId = xc.asSymbolId('pb',typeName='doc') pbSym = xc.asSymbol(pbId,typeName='doc') self.assertEqual(pbSym,'pb') self.assertEqual(xc.asSymbolId('this does not appear in the data',typeName='doc'), -1) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyTypes(self): matrixdb.conf.ignore_types = False optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(optdict['prog']) xc.runExpt( prog=optdict['prog'], trainData=optdict['trainData'], testData=optdict['testData'], targetMode=declare.asMode("predict/io")) # check trainability for (functor,arity) in xc.db.matEncoding: v = xc.parameterFromDBToVariable(functor,arity) if v is not None: vIsTrainable = (v in tf.trainable_variables()) vIsParameter = ((functor,arity) in xc.db.paramSet) self.assertEqual(vIsTrainable,vIsParameter) pbDoc = xc.db.onehot('pb','doc') self.checkXC(xc,'predict/io',pbDoc,{'negPair':115,'posPair':115,'hasWord':59,'weighted':115,'label':5}) # some checks on the output of pprint lines = xc.pprint('predict/io') self.assertTrue(lines[0].find("SoftMaxFunction") >= 0) self.assertTrue(lines[1].find("SumFunction") >= 0) self.assertEqual(len(lines), 16) # some checks on misc xcomp API self.assertEqual(xc.inferenceOutputType('predict/io'),'label') pbId = xc.asSymbolId('pb',typeName='doc') pbSym = xc.asSymbol(pbId,typeName='doc') self.assertEqual(pbSym,'pb') self.assertEqual(xc.asSymbolId('this does not appear in the data',typeName='doc'), -1) close_cross_compiler(xc) def testTCToyIgnoringTypes_wscaffold(self): matrixdb.conf.ignore_types = True optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) optdict['prog'].setAllWeights() for compilerClass in TESTED_COMPILERS: xc = compilerClass(optdict['prog']) learner = TESTED_LEARNERS[compilerClass](optdict['prog'],xc) Expt({ 'prog':optdict['prog'], 'trainData':optdict['trainData'], 'testData':optdict['testData'], 'learner':learner, 'targetMode':declare.asMode("predict/io") }).run() pbDoc = xc.db.onehot('pb') self.checkXC(xc,'predict/io',pbDoc,collections.defaultdict(lambda:191)) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testTCToyIgnoringTypes(self): matrixdb.conf.ignore_types = True optdict,args = comline.parseCommandLine( ["--db", os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), "--prog", os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), "--trainData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam"), "--testData", os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam"), "--proppr"]) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(optdict['prog']) xc.runExpt( prog=optdict['prog'], trainData=optdict['trainData'], testData=optdict['testData'], targetMode=declare.asMode("predict/io")) pbDoc = xc.db.onehot('pb') self.checkXC(xc,'predict/io',pbDoc,collections.defaultdict(lambda:191)) close_cross_compiler(xc) def checkXC(self,xc,mode,rawInput,expectedCols): print('matrixdb.conf.ignore_types',matrixdb.conf.ignore_types) db = xc.db for (functor,arity),mat in list(db.matEncoding.items()): print(functor,arity,'shape',mat.shape) r,c = mat.shape self.assertEqual(c,expectedCols[functor]) inferenceFun = xc.inferenceFunction(mode) y = inferenceFun(rawInput) r,c = y.shape self.assertEqual(c,expectedCols['label']) class TestMultiModeXC(unittest.TestCase): def setUp(self): self.db = matrixdb.MatrixDB.loadFile( os.path.join(testtensorlog.TEST_DATA_DIR,'matchtoy.cfacts')) self.prog = program.ProPPRProgram.loadRules( os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.ppr"),db=self.db) self.dset = dataset.Dataset.loadExamples( self.db, os.path.join(testtensorlog.TEST_DATA_DIR,'matchtoy-train.exam'),proppr=False) self.prog.setAllWeights() def testInScaffold(self): print(TESTED_COMPILERS) self.assertTrue(self.dset.modesToLearn() > 1) self.prog.setAllWeights() for compilerClass in TESTED_COMPILERS: print(compilerClass) xc = compilerClass(self.prog) # compile everything for mode in self.dset.modesToLearn(): xc.ensureCompiled(mode) learner = TESTED_LEARNERS[compilerClass](self.prog,xc) testAcc,testXent = Expt({ 'prog':self.prog, 'trainData':self.dset, 'testData':self.dset, 'learner':learner, 'savedTestPredictions':'TestMultiModeXC.testInScaffold.%s.solutions.txt'%compilerClass.__name__ }).run() print(testAcc) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def testIt(self): self.assertTrue(self.dset.modesToLearn() > 1) for compilerClass in [tensorflowxcomp.DenseMatDenseMsgCrossCompiler, tensorflowxcomp.SparseMatDenseMsgCrossCompiler]: xc = compilerClass(self.prog) # compile everything for mode in self.dset.modesToLearn(): xc.ensureCompiled(mode,inputs=None) # check the variables optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) session = tf.Session() session.run(tf.global_variables_initializer()) # set up for training trainStep = {} for mode in self.dset.modesToLearn(): (dataLossArgs,dataLossExpr) = xc.dataLoss(mode) trainStep[mode] = optimizer.minimize(dataLossExpr, var_list=xc.getParamVariables(mode)) # train for i in range(2): #epochs for mode in self.dset.modesToLearn(): X = self.dset.getX(mode) Y = self.dset.getY(mode) fd = xc.getFeedDict(mode,X,Y,wrapped=False) session.run(trainStep[mode],feed_dict=fd) # test for mode in self.dset.modesToLearn(): X = self.dset.getX(mode) Y = self.dset.getY(mode) Y_ = xc.inferenceFunction(mode)(X) acc = xc.accuracy(mode,X,Y) print('mode',mode,'acc',acc) session.close() close_cross_compiler(xc) class TestMatParams(unittest.TestCase): def setUp(self): self.cacheDir = tempfile.mkdtemp() def cacheFile(self,fileName): return os.path.join(self.cacheDir,fileName) def testMToyMatParam(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy.ppr")) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"matchtoy-train.exam")) tlog.db.markAsParameter('dabbrev',2) factDict = tlog.db.matrixAsPredicateFacts('dabbrev',2,tlog.db.matEncoding[('dabbrev',2)]) print('before learning',len(factDict),'dabbrevs') self.assertTrue(len(factDict)==5) for f in sorted(factDict.keys()): print('>',str(f),factDict[f]) # expt pipeline mode = list(trainData.keys())[0] TX,TY = trainData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=TY.shape, name='tensorlog/trueY') loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) for i in range(5): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) tlog.set_all_db_params_to_learned_values(session) # params = {'prog':prog,'trainData':trainData, 'testData':testData} # result = expt.Expt(params).run() # factDict = db.matrixAsPredicateFacts('dabbrev',2,db.matEncoding[('dabbrev',2)]) # print 'after learning',len(factDict),'dabbrevs' # for f in sorted(factDict.keys()): # print '>',str(f),factDict[f] # self.assertTrue(len(factDict)>5) @unittest.skipUnless(xctargets.tf,"Tensorflow not available") class TestSimple(unittest.TestCase): def testEmptyRules(self): # should not throw an error tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) def testIncrementalDBLoad(self): b = simple.Builder() predict,label,hasWord,posPair,negPair = b.predicates("predict,label,hasWord,posPair,negPair") doc_t,label_t,word_t,labelWordPair_t = b.types("doc_t,label_t,word_t,labelWordPair_t") b.schema += predict(doc_t,label_t) & label(label_t) b.schema += hasWord(doc_t,word_t) & posPair(word_t,labelWordPair_t) & negPair(word_t,labelWordPair_t) for basename in "textcattoy_corpus.cfacts textcattoy_labels.cfacts textcattoy_pairs.cfacts".split(" "): b.db += os.path.join(testtensorlog.TEST_DATA_DIR, basename) tlog = simple.Compiler(db=b.db) for (functor,arity,nnz) in [('hasWord',2,99),('label',1,2),('negPair',2,56)]: m = tlog.db.matEncoding[(functor,arity)] self.assertTrue(m.nnz == nnz) def testBatch(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] TX,TY = trainData[mode] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) # test a round-trip serialization # saves the db cacheDir = tempfile.mkdtemp() db_file = os.path.join(cacheDir,'simple.db') tlog.set_all_db_params_to_learned_values(session) tlog.serialize_db(db_file) # load everything into a new graph and don't reset the learned params new_graph = tf.Graph() with new_graph.as_default(): tlog2 = simple.Compiler( db=db_file, prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr"), autoset_db_params=False) inference2 = tlog2.inference(mode) trueY2 = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY2') correct2 = tf.equal(tf.argmax(trueY2,1), tf.argmax(inference2,1)) accuracy2 = tf.reduce_mean(tf.cast(correct2, tf.float32)) session2 = tf.Session() session2.run(tf.global_variables_initializer()) test_batch_fd2 = {tlog2.input_placeholder_name(mode):UX, trueY2.name:UY} acc3 = session2.run(accuracy2, feed_dict=test_batch_fd2) print('accuracy after round-trip serialization',acc3) self.assertTrue(acc3>=0.9) session.close() def testMinibatch(self): tlog = simple.Compiler( db=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts"), prog=os.path.join(testtensorlog.TEST_DATA_DIR,"textcat3.ppr")) self.runTextCatLearner(tlog) def runTextCatLearner(self,tlog): trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1, end=' ') for mode,(TX,TY) in tlog.minibatches(trainData,batch_size=2): print('.', end=' ') train_minibatch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session.run(train_step, feed_dict=train_minibatch_fd) print('epoch',i+1,'finished') acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) session.close() def testBuilder1(self): b = simple.Builder() X,Y,Z = b.variables("X Y Z") aunt,parent,sister,wife = b.predicates("aunt parent sister wife") uncle = b.predicate("uncle") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) b += aunt(X,Y) <= parent(X,Z) & sister(Z,Y) r1 = b.rule_id("ruleid_t","r1") r2 = b.rule_id("ruleid_t","r2") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) // r1 b += aunt(X,Y) <= parent(X,Z) & sister(Z,Y) // r2 feature,description = b.predicates("feature description") weight = b.predicate("weight") F = b.variable("F") D = b.variable("D") b += aunt(X,Y) <= uncle(X,Z) & wife(Z,Y) // (weight(F) | description(X,D) & feature(X,F)) b.rules.listing() rs = b.rules.rulesFor(parser.Goal('aunt',[X,Y])) self.assertEqual(str(rs[0]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y).") self.assertEqual(str(rs[1]), "aunt(X,Y) :- parent(X,Z), sister(Z,Y).") self.assertEqual(str(rs[2]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y) {weight(R1) : assign(R1,r1,ruleid_t)}.") self.assertEqual(str(rs[3]), "aunt(X,Y) :- parent(X,Z), sister(Z,Y) {weight(R2) : assign(R2,r2,ruleid_t)}.") self.assertEqual(str(rs[4]), "aunt(X,Y) :- uncle(X,Z), wife(Z,Y) {weight(F) : description(X,D),feature(X,F)}.") def testBuilder2(self): b = simple.Builder() predict,assign,weighted,hasWord,posPair,negPair = b.predicates("predict assign weighted hasWord posPair negPair") X,Pos,Neg,F,W = b.variables("X Pos Neg F W") b += predict(X,Pos) <= assign(Pos,'pos','label') // (weighted(F) | hasWord(X,W) & posPair(W,F)) b += predict(X,Neg) <= assign(Neg,'neg','label') // (weighted(F) | hasWord(X,W) & negPair(W,F)) dbSpec = os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts") self.runTextCatLearner(simple.Compiler(db=dbSpec,prog=b.rules)) def testBuilder3(self): b = simple.Builder() predict,assign,weighted,hasWord,posPair,negPair,label = b.predicates("predict assign weighted hasWord posPair negPair label") doc_t,label_t,word_t,labelWordPair_t = b.types("doc_t label_t word_t labelWordPair_t") b.schema += predict(doc_t,label_t) b.schema += hasWord(doc_t,word_t) b.schema += posPair(word_t,labelWordPair_t) b.schema += negPair(word_t,labelWordPair_t) b.schema += label(label_t) X,Pos,Neg,F,W = b.variables("X Pos Neg F W") b.rules += predict(X,Pos) <= assign(Pos,'pos','label_t') // (weighted(F) | hasWord(X,W) & posPair(W,F)) b.rules += predict(X,Neg) <= assign(Neg,'neg','label_t') // (weighted(F) | hasWord(X,W) & negPair(W,F)) b.db = os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy.cfacts") self.runTextCatLearner(simple.Compiler(db=b.db, prog=b.rules)) class TestReparameterizationAndTypedLoading(unittest.TestCase): def testBugWasFixed(self): db = matrixdb.MatrixDB() db.addLines(["# :- r(lo_or_hi_t)\n", "\t".join("r low 0.1".split()) + "\n", "\t".join("r hi 0.9".split()) + "\n"]) db.markAsParameter('r',1) prog = program.Program(db=db) typeName = db.schema.getArgType("r",1,0) idLow = db.schema.getId(typeName,"low") idHi = db.schema.getId(typeName,"hi") db_r = db.matEncoding[('r',1)] self.approxEqual(db_r[0,idLow], 0.1) self.approxEqual(db_r[0,idHi], 0.9) xc = tensorflowxcomp.SparseMatDenseMsgCrossCompiler(prog) v_r = xc._vector(declare.asMode("r(i)")) session = tf.Session() session.run(tf.global_variables_initializer()) xc.exportAllLearnedParams() print('exported to xc',db.matEncoding[('r',1)]) db_r = db.matEncoding[('r',1)] self.approxEqual(db_r[0,idLow], 0.1) self.approxEqual(db_r[0,idHi], 0.9) def approxEqual(self,a,b): self.assertTrue(abs(float(a)-b) < 0.0001) class TestPlugins(unittest.TestCase): def test_identity_io(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp1(Pos,Y) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp1(Neg,Y) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp1/io', lambda x:x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_identity_oi(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp2(Y,Pos) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp2(Y,Neg) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp2/oi', lambda x:x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_double_io1(self): ruleStrings = ['predict(X,Y) :- assign(Pos,pos,label),udp3(Pos,Y) {weighted(F): hasWord(X,W),posPair(W,F)}.', 'predict(X,Y) :- assign(Neg,neg,label),udp3(Neg,Y) {weighted(F): hasWord(X,W),negPair(W,F)}.'] plugins = program.Plugins() plugins.define('udp3/io', lambda x:2*x, lambda inputType:'label') self.check_learning_with_udp(ruleStrings,plugins) def test_double_io2(self): ruleStrings = ['predict(X,Pos) :- assign(Pos,pos,label) {weighted(F): hasWord(X,W),double(W,W2),posPair(W2,F)}.', 'predict(X,Neg) :- assign(Neg,neg,label) {weighted(F2): hasWord(X,W),negPair(W,F),double(F,F2)}.'] plugins = program.Plugins() plugins.define('double/io', lambda x:2*x, lambda inputType:inputType) self.check_learning_with_udp(ruleStrings,plugins) def test_kw_i(self): ruleStrings = ['predict(X,Pos) :- assign(Pos,pos,label),hasWord(X,W),poskw(W).', 'predict(X,Neg) :- assign(Neg,neg,label),hasWord(X,W),negkw(W).'] plugins = program.Plugins() db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) poskw_v = (db.onehot('little','word') + db.onehot('red','word')).todense() negkw_v = (db.onehot('big','word') + db.onehot('job','word') + db.onehot('huge','word')).todense() plugins.define('poskw/i', lambda:poskw_v, lambda:'word') plugins.define('negkw/i', lambda:negkw_v, lambda:'word') self.check_udp(ruleStrings,plugins) def check_udp(self,ruleStrings,plugins): db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(testData.keys())[0] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} session = tf.Session() session.run(tf.global_variables_initializer()) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) session.close() # - so there's not a simple fix def notest_isect_iio(self): bpcompiler.conf.trace = True ruleStrings = ['predict(X,Y) :- hasWord(X,W),posPair(W,P1),negPair(W,P2),isect(P1,P2,Y).'] plugins = program.Plugins() plugins.define('isect/iio', lambda x1,x2:x1*x2, lambda t1,t2:t1) self.assertTrue(plugins.isDefined(declare.asMode('isect/iio'))) self.check_learning_with_udp(ruleStrings,plugins) def argmax(self): bpcompiler.conf.trace = True ruleStrings = ['predict(X,Y):-olympics(X,Z),nations(Z),argmax(Z,Y).'] plugins = program.Plugins() plugins.define('argmax/io',lambda x1:tf.nn.softmax(x1), lambda t1:t1) db = matrixdb.MatrixDB.loadFile(os.path.join(testtensorlog.TEST_DATA_DIR,'argmax.cfacts')) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) prog.setAllWeights() mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) data = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"argmax.exam")) mode = list(data.keys())[0] UX,UY = data[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0>0.9) session.close() @unittest.skipUnless(xctargets.tf,"Tensorflow not available") def check_learning_with_udp(self,ruleStrings,plugins,dbfile=os.path.join(testtensorlog.TEST_DATA_DIR,"textcattoy3.cfacts")): db = matrixdb.MatrixDB.loadFile(dbfile) rules = testtensorlog.rules_from_strings(ruleStrings) prog = program.ProPPRProgram(rules=rules,db=db,plugins=plugins) prog.setAllWeights() mode = declare.asMode("predict/io") prog.compile(mode) fun = prog.function[(mode,0)] print("\n".join(fun.pprint())) tlog = simple.Compiler(db=db, prog=prog) trainData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytrain.exam")) testData = tlog.load_dataset(os.path.join(testtensorlog.TEST_DATA_DIR,"toytest.exam")) mode = list(trainData.keys())[0] TX,TY = trainData[mode] UX,UY = testData[mode] inference = tlog.inference(mode) trueY = tf.placeholder(tf.float32, shape=UY.shape, name='tensorlog/trueY') correct = tf.equal(tf.argmax(trueY,1), tf.argmax(inference,1)) accuracy = tf.reduce_mean(tf.cast(correct, tf.float32)) test_batch_fd = {tlog.input_placeholder_name(mode):UX, trueY.name:UY} loss = tlog.loss(mode) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.1) train_step = optimizer.minimize(loss) train_batch_fd = {tlog.input_placeholder_name(mode):TX, tlog.target_output_placeholder_name(mode):TY} session = tf.Session() session.run(tf.global_variables_initializer()) acc0 = session.run(accuracy, feed_dict=test_batch_fd) print('initial accuracy',acc0) self.assertTrue(acc0<0.6) for i in range(10): print('epoch',i+1) session.run(train_step, feed_dict=train_batch_fd) acc1 = session.run(accuracy, feed_dict=test_batch_fd) print('final accuracy',acc1) self.assertTrue(acc1>=0.9) session.close() if __name__ == "__main__": logging.basicConfig(level=logging.INFO) if 'theano' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__module__.endswith("theanoxcomp")] if 'tensorflow' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__module__.endswith("tensorflowxcomp")] if 'dense' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__name__.startswith("Dense")] if 'sparse' in sys.argv[1:]: TESTED_COMPILERS = [c for c in TESTED_COMPILERS if c.__name__.startswith("Sparse")] sys.argv = [a for a in sys.argv if a not in "theano tensorflow dense sparse".split()] print('TESTED_COMPILERS',TESTED_COMPILERS) unittest.main()

true

f73d55686fda574f44e36edee36447e99b6ea541

3,326

py

Python

lcm/ns_vnfs/biz/wait_job.py

onap/vfc-nfvo-lcm

b7d4d015fa96a246d73d863092d3362afcedc284

[ "Apache-2.0" ]

4

2018-08-29T02:51:38.000Z

2021-11-16T11:36:11.000Z

lcm/ns_vnfs/biz/wait_job.py

onap/vfc-nfvo-lcm

b7d4d015fa96a246d73d863092d3362afcedc284

[ "Apache-2.0" ]

null

lcm/ns_vnfs/biz/wait_job.py

onap/vfc-nfvo-lcm

b7d4d015fa96a246d73d863092d3362afcedc284

[ "Apache-2.0" ]

1

2019-05-12T08:21:19.000Z

# Copyright 2016 ZTE 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 agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import time import datetime import logging import math from lcm.pub.utils.jobutil import JobUtil from lcm.jobs.enum import JOB_MODEL_STATUS from lcm.pub.msapi.vnfmdriver import query_vnfm_job from lcm.pub.utils.values import ignore_case_get logger = logging.getLogger(__name__) def calc_progress(vnfm_progress, target_range=None): target_range = [0, 100] if not target_range else target_range progress = int(vnfm_progress) if vnfm_progress else 0 if progress > 100: return progress floor_progress = int(math.floor(float(target_range[1] - target_range[0]) / 100 * progress)) target_range = floor_progress + target_range[0] return target_range def default_callback(vnfo_job_id, vnfm_job_id, job_status, jobs, progress_range, **kwargs): for job in jobs: progress = calc_progress(ignore_case_get(job, 'progress'), progress_range) JobUtil.add_job_status(vnfo_job_id, progress, ignore_case_get(job, 'statusdescription'), ignore_case_get(job, 'errorcode')) latest_progress = calc_progress(ignore_case_get(job_status, 'progress'), progress_range) JobUtil.add_job_status(vnfo_job_id, latest_progress, ignore_case_get(job_status, 'statusdescription'), ignore_case_get(job_status, 'errorcode')) jobstatus = ignore_case_get(job_status, 'status') if jobstatus in (JOB_MODEL_STATUS.ERROR, JOB_MODEL_STATUS.FINISHED): return True, jobstatus return False, JOB_MODEL_STATUS.PROCESSING def wait_job_finish(vnfm_id, vnfo_job_id, vnfm_job_id, progress_range=None, timeout=600, job_callback=default_callback, **kwargs): progress_range = [0, 100] if not progress_range else progress_range response_id = 0 query_interval = 2 start_time = end_time = datetime.datetime.now() while (end_time - start_time).seconds < timeout: query_status, result = query_vnfm_job(vnfm_id, vnfm_job_id, response_id) time.sleep(query_interval) end_time = datetime.datetime.now() if not query_status: continue job_status = ignore_case_get(result, 'responsedescriptor') response_id_new = ignore_case_get(job_status, 'responseid') if response_id_new == response_id: continue response_id = response_id_new jobs = ignore_case_get(job_status, 'responsehistorylist', []) if jobs: jobs.reverse() is_end, status = job_callback(vnfo_job_id, vnfm_job_id, job_status, jobs, progress_range, **kwargs) if is_end: return status return JOB_MODEL_STATUS.TIMEOUT

42.101266

130

0.699639

import time import datetime import logging import math from lcm.pub.utils.jobutil import JobUtil from lcm.jobs.enum import JOB_MODEL_STATUS from lcm.pub.msapi.vnfmdriver import query_vnfm_job from lcm.pub.utils.values import ignore_case_get logger = logging.getLogger(__name__) def calc_progress(vnfm_progress, target_range=None): target_range = [0, 100] if not target_range else target_range progress = int(vnfm_progress) if vnfm_progress else 0 if progress > 100: return progress floor_progress = int(math.floor(float(target_range[1] - target_range[0]) / 100 * progress)) target_range = floor_progress + target_range[0] return target_range def default_callback(vnfo_job_id, vnfm_job_id, job_status, jobs, progress_range, **kwargs): for job in jobs: progress = calc_progress(ignore_case_get(job, 'progress'), progress_range) JobUtil.add_job_status(vnfo_job_id, progress, ignore_case_get(job, 'statusdescription'), ignore_case_get(job, 'errorcode')) latest_progress = calc_progress(ignore_case_get(job_status, 'progress'), progress_range) JobUtil.add_job_status(vnfo_job_id, latest_progress, ignore_case_get(job_status, 'statusdescription'), ignore_case_get(job_status, 'errorcode')) jobstatus = ignore_case_get(job_status, 'status') if jobstatus in (JOB_MODEL_STATUS.ERROR, JOB_MODEL_STATUS.FINISHED): return True, jobstatus return False, JOB_MODEL_STATUS.PROCESSING def wait_job_finish(vnfm_id, vnfo_job_id, vnfm_job_id, progress_range=None, timeout=600, job_callback=default_callback, **kwargs): progress_range = [0, 100] if not progress_range else progress_range response_id = 0 query_interval = 2 start_time = end_time = datetime.datetime.now() while (end_time - start_time).seconds < timeout: query_status, result = query_vnfm_job(vnfm_id, vnfm_job_id, response_id) time.sleep(query_interval) end_time = datetime.datetime.now() if not query_status: continue job_status = ignore_case_get(result, 'responsedescriptor') response_id_new = ignore_case_get(job_status, 'responseid') if response_id_new == response_id: continue response_id = response_id_new jobs = ignore_case_get(job_status, 'responsehistorylist', []) if jobs: jobs.reverse() is_end, status = job_callback(vnfo_job_id, vnfm_job_id, job_status, jobs, progress_range, **kwargs) if is_end: return status return JOB_MODEL_STATUS.TIMEOUT

true