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cere 2024-02-21 01:54:07 -05:00
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33
resources/lib/deps/librespot/proto/google/protobuf/__init__.py
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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
# Copyright 2007 Google Inc. All Rights Reserved.
__version__ = '3.20.1'

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resources/lib/deps/librespot/proto/google/protobuf/any_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/any.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x19google/protobuf/any.proto\x12\x0fgoogle.protobuf\"&\n\x03\x41ny\x12\x10\n\x08type_url\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\x0c\x42v\n\x13\x63om.google.protobufB\x08\x41nyProtoP\x01Z,google.golang.org/protobuf/types/known/anypb\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.any_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\010AnyProtoP\001Z,google.golang.org/protobuf/types/known/anypb\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_ANY._serialized_start=46
_ANY._serialized_end=84
# @@protoc_insertion_point(module_scope)

32
resources/lib/deps/librespot/proto/google/protobuf/api_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/api.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.protobuf import source_context_pb2 as google_dot_protobuf_dot_source__context__pb2
from google.protobuf import type_pb2 as google_dot_protobuf_dot_type__pb2
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x19google/protobuf/api.proto\x12\x0fgoogle.protobuf\x1a$google/protobuf/source_context.proto\x1a\x1agoogle/protobuf/type.proto\"\x81\x02\n\x03\x41pi\x12\x0c\n\x04name\x18\x01 \x01(\t\x12(\n\x07methods\x18\x02 \x03(\x0b\x32\x17.google.protobuf.Method\x12(\n\x07options\x18\x03 \x03(\x0b\x32\x17.google.protobuf.Option\x12\x0f\n\x07version\x18\x04 \x01(\t\x12\x36\n\x0esource_context\x18\x05 \x01(\x0b\x32\x1e.google.protobuf.SourceContext\x12&\n\x06mixins\x18\x06 \x03(\x0b\x32\x16.google.protobuf.Mixin\x12\'\n\x06syntax\x18\x07 \x01(\x0e\x32\x17.google.protobuf.Syntax\"\xd5\x01\n\x06Method\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x18\n\x10request_type_url\x18\x02 \x01(\t\x12\x19\n\x11request_streaming\x18\x03 \x01(\x08\x12\x19\n\x11response_type_url\x18\x04 \x01(\t\x12\x1a\n\x12response_streaming\x18\x05 \x01(\x08\x12(\n\x07options\x18\x06 \x03(\x0b\x32\x17.google.protobuf.Option\x12\'\n\x06syntax\x18\x07 \x01(\x0e\x32\x17.google.protobuf.Syntax\"#\n\x05Mixin\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0c\n\x04root\x18\x02 \x01(\tBv\n\x13\x63om.google.protobufB\x08\x41piProtoP\x01Z,google.golang.org/protobuf/types/known/apipb\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.api_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\010ApiProtoP\001Z,google.golang.org/protobuf/types/known/apipb\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_API._serialized_start=113
_API._serialized_end=370
_METHOD._serialized_start=373
_METHOD._serialized_end=586
_MIXIN._serialized_start=588
_MIXIN._serialized_end=623
# @@protoc_insertion_point(module_scope)

0
resources/lib/deps/librespot/proto/google/protobuf/compiler/__init__.py
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resources/lib/deps/librespot/proto/google/protobuf/compiler/plugin_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/compiler/plugin.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.protobuf import descriptor_pb2 as google_dot_protobuf_dot_descriptor__pb2
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n%google/protobuf/compiler/plugin.proto\x12\x18google.protobuf.compiler\x1a google/protobuf/descriptor.proto\"F\n\x07Version\x12\r\n\x05major\x18\x01 \x01(\x05\x12\r\n\x05minor\x18\x02 \x01(\x05\x12\r\n\x05patch\x18\x03 \x01(\x05\x12\x0e\n\x06suffix\x18\x04 \x01(\t\"\xba\x01\n\x14\x43odeGeneratorRequest\x12\x18\n\x10\x66ile_to_generate\x18\x01 \x03(\t\x12\x11\n\tparameter\x18\x02 \x01(\t\x12\x38\n\nproto_file\x18\x0f \x03(\x0b\x32$.google.protobuf.FileDescriptorProto\x12;\n\x10\x63ompiler_version\x18\x03 \x01(\x0b\x32!.google.protobuf.compiler.Version\"\xc1\x02\n\x15\x43odeGeneratorResponse\x12\r\n\x05\x65rror\x18\x01 \x01(\t\x12\x1a\n\x12supported_features\x18\x02 \x01(\x04\x12\x42\n\x04\x66ile\x18\x0f \x03(\x0b\x32\x34.google.protobuf.compiler.CodeGeneratorResponse.File\x1a\x7f\n\x04\x46ile\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x17\n\x0finsertion_point\x18\x02 \x01(\t\x12\x0f\n\x07\x63ontent\x18\x0f \x01(\t\x12?\n\x13generated_code_info\x18\x10 \x01(\x0b\x32\".google.protobuf.GeneratedCodeInfo\"8\n\x07\x46\x65\x61ture\x12\x10\n\x0c\x46\x45\x41TURE_NONE\x10\x00\x12\x1b\n\x17\x46\x45\x41TURE_PROTO3_OPTIONAL\x10\x01\x42W\n\x1c\x63om.google.protobuf.compilerB\x0cPluginProtosZ)google.golang.org/protobuf/types/pluginpb')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.compiler.plugin_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\034com.google.protobuf.compilerB\014PluginProtosZ)google.golang.org/protobuf/types/pluginpb'
_VERSION._serialized_start=101
_VERSION._serialized_end=171
_CODEGENERATORREQUEST._serialized_start=174
_CODEGENERATORREQUEST._serialized_end=360
_CODEGENERATORRESPONSE._serialized_start=363
_CODEGENERATORRESPONSE._serialized_end=684
_CODEGENERATORRESPONSE_FILE._serialized_start=499
_CODEGENERATORRESPONSE_FILE._serialized_end=626
_CODEGENERATORRESPONSE_FEATURE._serialized_start=628
_CODEGENERATORRESPONSE_FEATURE._serialized_end=684
# @@protoc_insertion_point(module_scope)

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resources/lib/deps/librespot/proto/google/protobuf/descriptor.py
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resources/lib/deps/librespot/proto/google/protobuf/descriptor_database.py
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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Provides a container for DescriptorProtos."""
__author__ = 'matthewtoia@google.com (Matt Toia)'
import warnings
class Error(Exception):
pass
class DescriptorDatabaseConflictingDefinitionError(Error):
"""Raised when a proto is added with the same name & different descriptor."""
class DescriptorDatabase(object):
"""A container accepting FileDescriptorProtos and maps DescriptorProtos."""
def __init__(self):
self._file_desc_protos_by_file = {}
self._file_desc_protos_by_symbol = {}
def Add(self, file_desc_proto):
"""Adds the FileDescriptorProto and its types to this database.
Args:
file_desc_proto: The FileDescriptorProto to add.
Raises:
DescriptorDatabaseConflictingDefinitionError: if an attempt is made to
add a proto with the same name but different definition than an
existing proto in the database.
"""
proto_name = file_desc_proto.name
if proto_name not in self._file_desc_protos_by_file:
self._file_desc_protos_by_file[proto_name] = file_desc_proto
elif self._file_desc_protos_by_file[proto_name] != file_desc_proto:
raise DescriptorDatabaseConflictingDefinitionError(
'%s already added, but with different descriptor.' % proto_name)
else:
return
# Add all the top-level descriptors to the index.
package = file_desc_proto.package
for message in file_desc_proto.message_type:
for name in _ExtractSymbols(message, package):
self._AddSymbol(name, file_desc_proto)
for enum in file_desc_proto.enum_type:
self._AddSymbol(('.'.join((package, enum.name))), file_desc_proto)
for enum_value in enum.value:
self._file_desc_protos_by_symbol[
'.'.join((package, enum_value.name))] = file_desc_proto
for extension in file_desc_proto.extension:
self._AddSymbol(('.'.join((package, extension.name))), file_desc_proto)
for service in file_desc_proto.service:
self._AddSymbol(('.'.join((package, service.name))), file_desc_proto)
def FindFileByName(self, name):
"""Finds the file descriptor proto by file name.
Typically the file name is a relative path ending to a .proto file. The
proto with the given name will have to have been added to this database
using the Add method or else an error will be raised.
Args:
name: The file name to find.
Returns:
The file descriptor proto matching the name.
Raises:
KeyError if no file by the given name was added.
"""
return self._file_desc_protos_by_file[name]
def FindFileContainingSymbol(self, symbol):
"""Finds the file descriptor proto containing the specified symbol.
The symbol should be a fully qualified name including the file descriptor's
package and any containing messages. Some examples:
'some.package.name.Message'
'some.package.name.Message.NestedEnum'
'some.package.name.Message.some_field'
The file descriptor proto containing the specified symbol must be added to
this database using the Add method or else an error will be raised.
Args:
symbol: The fully qualified symbol name.
Returns:
The file descriptor proto containing the symbol.
Raises:
KeyError if no file contains the specified symbol.
"""
try:
return self._file_desc_protos_by_symbol[symbol]
except KeyError:
# Fields, enum values, and nested extensions are not in
# _file_desc_protos_by_symbol. Try to find the top level
# descriptor. Non-existent nested symbol under a valid top level
# descriptor can also be found. The behavior is the same with
# protobuf C++.
top_level, _, _ = symbol.rpartition('.')
try:
return self._file_desc_protos_by_symbol[top_level]
except KeyError:
# Raise the original symbol as a KeyError for better diagnostics.
raise KeyError(symbol)
def FindFileContainingExtension(self, extendee_name, extension_number):
# TODO(jieluo): implement this API.
return None
def FindAllExtensionNumbers(self, extendee_name):
# TODO(jieluo): implement this API.
return []
def _AddSymbol(self, name, file_desc_proto):
if name in self._file_desc_protos_by_symbol:
warn_msg = ('Conflict register for file "' + file_desc_proto.name +
'": ' + name +
' is already defined in file "' +
self._file_desc_protos_by_symbol[name].name + '"')
warnings.warn(warn_msg, RuntimeWarning)
self._file_desc_protos_by_symbol[name] = file_desc_proto
def _ExtractSymbols(desc_proto, package):
"""Pulls out all the symbols from a descriptor proto.
Args:
desc_proto: The proto to extract symbols from.
package: The package containing the descriptor type.
Yields:
The fully qualified name found in the descriptor.
"""
message_name = package + '.' + desc_proto.name if package else desc_proto.name
yield message_name
for nested_type in desc_proto.nested_type:
for symbol in _ExtractSymbols(nested_type, message_name):
yield symbol
for enum_type in desc_proto.enum_type:
yield '.'.join((message_name, enum_type.name))

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resources/lib/deps/librespot/proto/google/protobuf/descriptor_pb2.py
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resources/lib/deps/librespot/proto/google/protobuf/descriptor_pool.py
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resources/lib/deps/librespot/proto/google/protobuf/duration_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/duration.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1egoogle/protobuf/duration.proto\x12\x0fgoogle.protobuf\"*\n\x08\x44uration\x12\x0f\n\x07seconds\x18\x01 \x01(\x03\x12\r\n\x05nanos\x18\x02 \x01(\x05\x42\x83\x01\n\x13\x63om.google.protobufB\rDurationProtoP\x01Z1google.golang.org/protobuf/types/known/durationpb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.duration_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\rDurationProtoP\001Z1google.golang.org/protobuf/types/known/durationpb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_DURATION._serialized_start=51
_DURATION._serialized_end=93
# @@protoc_insertion_point(module_scope)

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resources/lib/deps/librespot/proto/google/protobuf/empty_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/empty.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1bgoogle/protobuf/empty.proto\x12\x0fgoogle.protobuf\"\x07\n\x05\x45mptyB}\n\x13\x63om.google.protobufB\nEmptyProtoP\x01Z.google.golang.org/protobuf/types/known/emptypb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.empty_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\nEmptyProtoP\001Z.google.golang.org/protobuf/types/known/emptypb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_EMPTY._serialized_start=48
_EMPTY._serialized_end=55
# @@protoc_insertion_point(module_scope)

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resources/lib/deps/librespot/proto/google/protobuf/field_mask_pb2.py
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# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/field_mask.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n google/protobuf/field_mask.proto\x12\x0fgoogle.protobuf\"\x1a\n\tFieldMask\x12\r\n\x05paths\x18\x01 \x03(\tB\x85\x01\n\x13\x63om.google.protobufB\x0e\x46ieldMaskProtoP\x01Z2google.golang.org/protobuf/types/known/fieldmaskpb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.field_mask_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\016FieldMaskProtoP\001Z2google.golang.org/protobuf/types/known/fieldmaskpb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_FIELDMASK._serialized_start=53
_FIELDMASK._serialized_end=79
# @@protoc_insertion_point(module_scope)

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resources/lib/deps/librespot/proto/google/protobuf/internal/__init__.py
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resources/lib/deps/librespot/proto/google/protobuf/internal/_api_implementation.cpython-310-x86_64-linux-gnu.so
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resources/lib/deps/librespot/proto/google/protobuf/internal/api_implementation.py
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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Determine which implementation of the protobuf API is used in this process.
"""
import os
import sys
import warnings
try:
# pylint: disable=g-import-not-at-top
from google.protobuf.internal import _api_implementation
# The compile-time constants in the _api_implementation module can be used to
# switch to a certain implementation of the Python API at build time.
_api_version = _api_implementation.api_version
except ImportError:
_api_version = -1 # Unspecified by compiler flags.
if _api_version == 1:
raise ValueError('api_version=1 is no longer supported.')
_default_implementation_type = ('cpp' if _api_version > 0 else 'python')
# This environment variable can be used to switch to a certain implementation
# of the Python API, overriding the compile-time constants in the
# _api_implementation module. Right now only 'python' and 'cpp' are valid
# values. Any other value will be ignored.
_implementation_type = os.getenv('PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION',
_default_implementation_type)
if _implementation_type != 'python':
_implementation_type = 'cpp'
if 'PyPy' in sys.version and _implementation_type == 'cpp':
warnings.warn('PyPy does not work yet with cpp protocol buffers. '
'Falling back to the python implementation.')
_implementation_type = 'python'
# Detect if serialization should be deterministic by default
try:
# The presence of this module in a build allows the proto implementation to
# be upgraded merely via build deps.
#
# NOTE: Merely importing this automatically enables deterministic proto
# serialization for C++ code, but we still need to export it as a boolean so
# that we can do the same for `_implementation_type == 'python'`.
#
# NOTE2: It is possible for C++ code to enable deterministic serialization by
# default _without_ affecting Python code, if the C++ implementation is not in
# use by this module. That is intended behavior, so we don't actually expose
# this boolean outside of this module.
#
# pylint: disable=g-import-not-at-top,unused-import
from google.protobuf import enable_deterministic_proto_serialization
_python_deterministic_proto_serialization = True
except ImportError:
_python_deterministic_proto_serialization = False
# Usage of this function is discouraged. Clients shouldn't care which
# implementation of the API is in use. Note that there is no guarantee
# that differences between APIs will be maintained.
# Please don't use this function if possible.
def Type():
return _implementation_type
def _SetType(implementation_type):
"""Never use! Only for protobuf benchmark."""
global _implementation_type
_implementation_type = implementation_type
# See comment on 'Type' above.
def Version():
return 2
# For internal use only
def IsPythonDefaultSerializationDeterministic():
return _python_deterministic_proto_serialization

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@ -1,130 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Builds descriptors, message classes and services for generated _pb2.py.
This file is only called in python generated _pb2.py files. It builds
descriptors, message classes and services that users can directly use
in generated code.
"""
__author__ = 'jieluo@google.com (Jie Luo)'
from google.protobuf.internal import enum_type_wrapper
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db = _symbol_database.Default()
def BuildMessageAndEnumDescriptors(file_des, module):
"""Builds message and enum descriptors.
Args:
file_des: FileDescriptor of the .proto file
module: Generated _pb2 module
"""
def BuildNestedDescriptors(msg_des, prefix):
for (name, nested_msg) in msg_des.nested_types_by_name.items():
module_name = prefix + name.upper()
module[module_name] = nested_msg
BuildNestedDescriptors(nested_msg, module_name + '_')
for enum_des in msg_des.enum_types:
module[prefix + enum_des.name.upper()] = enum_des
for (name, msg_des) in file_des.message_types_by_name.items():
module_name = '_' + name.upper()
module[module_name] = msg_des
BuildNestedDescriptors(msg_des, module_name + '_')
def BuildTopDescriptorsAndMessages(file_des, module_name, module):
"""Builds top level descriptors and message classes.
Args:
file_des: FileDescriptor of the .proto file
module_name: str, the name of generated _pb2 module
module: Generated _pb2 module
"""
def BuildMessage(msg_des):
create_dict = {}
for (name, nested_msg) in msg_des.nested_types_by_name.items():
create_dict[name] = BuildMessage(nested_msg)
create_dict['DESCRIPTOR'] = msg_des
create_dict['__module__'] = module_name
message_class = _reflection.GeneratedProtocolMessageType(
msg_des.name, (_message.Message,), create_dict)
_sym_db.RegisterMessage(message_class)
return message_class
# top level enums
for (name, enum_des) in file_des.enum_types_by_name.items():
module['_' + name.upper()] = enum_des
module[name] = enum_type_wrapper.EnumTypeWrapper(enum_des)
for enum_value in enum_des.values:
module[enum_value.name] = enum_value.number
# top level extensions
for (name, extension_des) in file_des.extensions_by_name.items():
module[name.upper() + '_FIELD_NUMBER'] = extension_des.number
module[name] = extension_des
# services
for (name, service) in file_des.services_by_name.items():
module['_' + name.upper()] = service
# Build messages.
for (name, msg_des) in file_des.message_types_by_name.items():
module[name] = BuildMessage(msg_des)
def BuildServices(file_des, module_name, module):
"""Builds services classes and services stub class.
Args:
file_des: FileDescriptor of the .proto file
module_name: str, the name of generated _pb2 module
module: Generated _pb2 module
"""
# pylint: disable=g-import-not-at-top
from google.protobuf import service as _service
from google.protobuf import service_reflection
# pylint: enable=g-import-not-at-top
for (name, service) in file_des.services_by_name.items():
module[name] = service_reflection.GeneratedServiceType(
name, (_service.Service,),
dict(DESCRIPTOR=service, __module__=module_name))
stub_name = name + '_Stub'
module[stub_name] = service_reflection.GeneratedServiceStubType(
stub_name, (module[name],),
dict(DESCRIPTOR=service, __module__=module_name))

710
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@ -1,710 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Contains container classes to represent different protocol buffer types.
This file defines container classes which represent categories of protocol
buffer field types which need extra maintenance. Currently these categories
are:
- Repeated scalar fields - These are all repeated fields which aren't
composite (e.g. they are of simple types like int32, string, etc).
- Repeated composite fields - Repeated fields which are composite. This
includes groups and nested messages.
"""
import collections.abc
import copy
import pickle
from typing import (
Any,
Iterable,
Iterator,
List,
MutableMapping,
MutableSequence,
NoReturn,
Optional,
Sequence,
TypeVar,
Union,
overload,
)
_T = TypeVar('_T')
_K = TypeVar('_K')
_V = TypeVar('_V')
class BaseContainer(Sequence[_T]):
"""Base container class."""
# Minimizes memory usage and disallows assignment to other attributes.
__slots__ = ['_message_listener', '_values']
def __init__(self, message_listener: Any) -> None:
"""
Args:
message_listener: A MessageListener implementation.
The RepeatedScalarFieldContainer will call this object's
Modified() method when it is modified.
"""
self._message_listener = message_listener
self._values = []
@overload
def __getitem__(self, key: int) -> _T:
...
@overload
def __getitem__(self, key: slice) -> List[_T]:
...
def __getitem__(self, key):
"""Retrieves item by the specified key."""
return self._values[key]
def __len__(self) -> int:
"""Returns the number of elements in the container."""
return len(self._values)
def __ne__(self, other: Any) -> bool:
"""Checks if another instance isn't equal to this one."""
# The concrete classes should define __eq__.
return not self == other
__hash__ = None
def __repr__(self) -> str:
return repr(self._values)
def sort(self, *args, **kwargs) -> None:
# Continue to support the old sort_function keyword argument.
# This is expected to be a rare occurrence, so use LBYL to avoid
# the overhead of actually catching KeyError.
if 'sort_function' in kwargs:
kwargs['cmp'] = kwargs.pop('sort_function')
self._values.sort(*args, **kwargs)
def reverse(self) -> None:
self._values.reverse()
# TODO(slebedev): Remove this. BaseContainer does *not* conform to
# MutableSequence, only its subclasses do.
collections.abc.MutableSequence.register(BaseContainer)
class RepeatedScalarFieldContainer(BaseContainer[_T], MutableSequence[_T]):
"""Simple, type-checked, list-like container for holding repeated scalars."""
# Disallows assignment to other attributes.
__slots__ = ['_type_checker']
def __init__(
self,
message_listener: Any,
type_checker: Any,
) -> None:
"""Args:
message_listener: A MessageListener implementation. The
RepeatedScalarFieldContainer will call this object's Modified() method
when it is modified.
type_checker: A type_checkers.ValueChecker instance to run on elements
inserted into this container.
"""
super().__init__(message_listener)
self._type_checker = type_checker
def append(self, value: _T) -> None:
"""Appends an item to the list. Similar to list.append()."""
self._values.append(self._type_checker.CheckValue(value))
if not self._message_listener.dirty:
self._message_listener.Modified()
def insert(self, key: int, value: _T) -> None:
"""Inserts the item at the specified position. Similar to list.insert()."""
self._values.insert(key, self._type_checker.CheckValue(value))
if not self._message_listener.dirty:
self._message_listener.Modified()
def extend(self, elem_seq: Iterable[_T]) -> None:
"""Extends by appending the given iterable. Similar to list.extend()."""
if elem_seq is None:
return
try:
elem_seq_iter = iter(elem_seq)
except TypeError:
if not elem_seq:
# silently ignore falsy inputs :-/.
# TODO(ptucker): Deprecate this behavior. b/18413862
return
raise
new_values = [self._type_checker.CheckValue(elem) for elem in elem_seq_iter]
if new_values:
self._values.extend(new_values)
self._message_listener.Modified()
def MergeFrom(
self,
other: Union['RepeatedScalarFieldContainer[_T]', Iterable[_T]],
) -> None:
"""Appends the contents of another repeated field of the same type to this
one. We do not check the types of the individual fields.
"""
self._values.extend(other)
self._message_listener.Modified()
def remove(self, elem: _T):
"""Removes an item from the list. Similar to list.remove()."""
self._values.remove(elem)
self._message_listener.Modified()
def pop(self, key: Optional[int] = -1) -> _T:
"""Removes and returns an item at a given index. Similar to list.pop()."""
value = self._values[key]
self.__delitem__(key)
return value
@overload
def __setitem__(self, key: int, value: _T) -> None:
...
@overload
def __setitem__(self, key: slice, value: Iterable[_T]) -> None:
...
def __setitem__(self, key, value) -> None:
"""Sets the item on the specified position."""
if isinstance(key, slice):
if key.step is not None:
raise ValueError('Extended slices not supported')
self._values[key] = map(self._type_checker.CheckValue, value)
self._message_listener.Modified()
else:
self._values[key] = self._type_checker.CheckValue(value)
self._message_listener.Modified()
def __delitem__(self, key: Union[int, slice]) -> None:
"""Deletes the item at the specified position."""
del self._values[key]
self._message_listener.Modified()
def __eq__(self, other: Any) -> bool:
"""Compares the current instance with another one."""
if self is other:
return True
# Special case for the same type which should be common and fast.
if isinstance(other, self.__class__):
return other._values == self._values
# We are presumably comparing against some other sequence type.
return other == self._values
def __deepcopy__(
self,
unused_memo: Any = None,
) -> 'RepeatedScalarFieldContainer[_T]':
clone = RepeatedScalarFieldContainer(
copy.deepcopy(self._message_listener), self._type_checker)
clone.MergeFrom(self)
return clone
def __reduce__(self, **kwargs) -> NoReturn:
raise pickle.PickleError(
"Can't pickle repeated scalar fields, convert to list first")
# TODO(slebedev): Constrain T to be a subtype of Message.
class RepeatedCompositeFieldContainer(BaseContainer[_T], MutableSequence[_T]):
"""Simple, list-like container for holding repeated composite fields."""
# Disallows assignment to other attributes.
__slots__ = ['_message_descriptor']
def __init__(self, message_listener: Any, message_descriptor: Any) -> None:
"""
Note that we pass in a descriptor instead of the generated directly,
since at the time we construct a _RepeatedCompositeFieldContainer we
haven't yet necessarily initialized the type that will be contained in the
container.
Args:
message_listener: A MessageListener implementation.
The RepeatedCompositeFieldContainer will call this object's
Modified() method when it is modified.
message_descriptor: A Descriptor instance describing the protocol type
that should be present in this container. We'll use the
_concrete_class field of this descriptor when the client calls add().
"""
super().__init__(message_listener)
self._message_descriptor = message_descriptor
def add(self, **kwargs: Any) -> _T:
"""Adds a new element at the end of the list and returns it. Keyword
arguments may be used to initialize the element.
"""
new_element = self._message_descriptor._concrete_class(**kwargs)
new_element._SetListener(self._message_listener)
self._values.append(new_element)
if not self._message_listener.dirty:
self._message_listener.Modified()
return new_element
def append(self, value: _T) -> None:
"""Appends one element by copying the message."""
new_element = self._message_descriptor._concrete_class()
new_element._SetListener(self._message_listener)
new_element.CopyFrom(value)
self._values.append(new_element)
if not self._message_listener.dirty:
self._message_listener.Modified()
def insert(self, key: int, value: _T) -> None:
"""Inserts the item at the specified position by copying."""
new_element = self._message_descriptor._concrete_class()
new_element._SetListener(self._message_listener)
new_element.CopyFrom(value)
self._values.insert(key, new_element)
if not self._message_listener.dirty:
self._message_listener.Modified()
def extend(self, elem_seq: Iterable[_T]) -> None:
"""Extends by appending the given sequence of elements of the same type
as this one, copying each individual message.
"""
message_class = self._message_descriptor._concrete_class
listener = self._message_listener
values = self._values
for message in elem_seq:
new_element = message_class()
new_element._SetListener(listener)
new_element.MergeFrom(message)
values.append(new_element)
listener.Modified()
def MergeFrom(
self,
other: Union['RepeatedCompositeFieldContainer[_T]', Iterable[_T]],
) -> None:
"""Appends the contents of another repeated field of the same type to this
one, copying each individual message.
"""
self.extend(other)
def remove(self, elem: _T) -> None:
"""Removes an item from the list. Similar to list.remove()."""
self._values.remove(elem)
self._message_listener.Modified()
def pop(self, key: Optional[int] = -1) -> _T:
"""Removes and returns an item at a given index. Similar to list.pop()."""
value = self._values[key]
self.__delitem__(key)
return value
@overload
def __setitem__(self, key: int, value: _T) -> None:
...
@overload
def __setitem__(self, key: slice, value: Iterable[_T]) -> None:
...
def __setitem__(self, key, value):
# This method is implemented to make RepeatedCompositeFieldContainer
# structurally compatible with typing.MutableSequence. It is
# otherwise unsupported and will always raise an error.
raise TypeError(
f'{self.__class__.__name__} object does not support item assignment')
def __delitem__(self, key: Union[int, slice]) -> None:
"""Deletes the item at the specified position."""
del self._values[key]
self._message_listener.Modified()
def __eq__(self, other: Any) -> bool:
"""Compares the current instance with another one."""
if self is other:
return True
if not isinstance(other, self.__class__):
raise TypeError('Can only compare repeated composite fields against '
'other repeated composite fields.')
return self._values == other._values
class ScalarMap(MutableMapping[_K, _V]):
"""Simple, type-checked, dict-like container for holding repeated scalars."""
# Disallows assignment to other attributes.
__slots__ = ['_key_checker', '_value_checker', '_values', '_message_listener',
'_entry_descriptor']
def __init__(
self,
message_listener: Any,
key_checker: Any,
value_checker: Any,
entry_descriptor: Any,
) -> None:
"""
Args:
message_listener: A MessageListener implementation.
The ScalarMap will call this object's Modified() method when it
is modified.
key_checker: A type_checkers.ValueChecker instance to run on keys
inserted into this container.
value_checker: A type_checkers.ValueChecker instance to run on values
inserted into this container.
entry_descriptor: The MessageDescriptor of a map entry: key and value.
"""
self._message_listener = message_listener
self._key_checker = key_checker
self._value_checker = value_checker
self._entry_descriptor = entry_descriptor
self._values = {}
def __getitem__(self, key: _K) -> _V:
try:
return self._values[key]
except KeyError:
key = self._key_checker.CheckValue(key)
val = self._value_checker.DefaultValue()
self._values[key] = val
return val
def __contains__(self, item: _K) -> bool:
# We check the key's type to match the strong-typing flavor of the API.
# Also this makes it easier to match the behavior of the C++ implementation.
self._key_checker.CheckValue(item)
return item in self._values
@overload
def get(self, key: _K) -> Optional[_V]:
...
@overload
def get(self, key: _K, default: _T) -> Union[_V, _T]:
...
# We need to override this explicitly, because our defaultdict-like behavior
# will make the default implementation (from our base class) always insert
# the key.
def get(self, key, default=None):
if key in self:
return self[key]
else:
return default
def __setitem__(self, key: _K, value: _V) -> _T:
checked_key = self._key_checker.CheckValue(key)
checked_value = self._value_checker.CheckValue(value)
self._values[checked_key] = checked_value
self._message_listener.Modified()
def __delitem__(self, key: _K) -> None:
del self._values[key]
self._message_listener.Modified()
def __len__(self) -> int:
return len(self._values)
def __iter__(self) -> Iterator[_K]:
return iter(self._values)
def __repr__(self) -> str:
return repr(self._values)
def MergeFrom(self, other: 'ScalarMap[_K, _V]') -> None:
self._values.update(other._values)
self._message_listener.Modified()
def InvalidateIterators(self) -> None:
# It appears that the only way to reliably invalidate iterators to
# self._values is to ensure that its size changes.
original = self._values
self._values = original.copy()
original[None] = None
# This is defined in the abstract base, but we can do it much more cheaply.
def clear(self) -> None:
self._values.clear()
self._message_listener.Modified()
def GetEntryClass(self) -> Any:
return self._entry_descriptor._concrete_class
class MessageMap(MutableMapping[_K, _V]):
"""Simple, type-checked, dict-like container for with submessage values."""
# Disallows assignment to other attributes.
__slots__ = ['_key_checker', '_values', '_message_listener',
'_message_descriptor', '_entry_descriptor']
def __init__(
self,
message_listener: Any,
message_descriptor: Any,
key_checker: Any,
entry_descriptor: Any,
) -> None:
"""
Args:
message_listener: A MessageListener implementation.
The ScalarMap will call this object's Modified() method when it
is modified.
key_checker: A type_checkers.ValueChecker instance to run on keys
inserted into this container.
value_checker: A type_checkers.ValueChecker instance to run on values
inserted into this container.
entry_descriptor: The MessageDescriptor of a map entry: key and value.
"""
self._message_listener = message_listener
self._message_descriptor = message_descriptor
self._key_checker = key_checker
self._entry_descriptor = entry_descriptor
self._values = {}
def __getitem__(self, key: _K) -> _V:
key = self._key_checker.CheckValue(key)
try:
return self._values[key]
except KeyError:
new_element = self._message_descriptor._concrete_class()
new_element._SetListener(self._message_listener)
self._values[key] = new_element
self._message_listener.Modified()
return new_element
def get_or_create(self, key: _K) -> _V:
"""get_or_create() is an alias for getitem (ie. map[key]).
Args:
key: The key to get or create in the map.
This is useful in cases where you want to be explicit that the call is
mutating the map. This can avoid lint errors for statements like this
that otherwise would appear to be pointless statements:
msg.my_map[key]
"""
return self[key]
@overload
def get(self, key: _K) -> Optional[_V]:
...
@overload
def get(self, key: _K, default: _T) -> Union[_V, _T]:
...
# We need to override this explicitly, because our defaultdict-like behavior
# will make the default implementation (from our base class) always insert
# the key.
def get(self, key, default=None):
if key in self:
return self[key]
else:
return default
def __contains__(self, item: _K) -> bool:
item = self._key_checker.CheckValue(item)
return item in self._values
def __setitem__(self, key: _K, value: _V) -> NoReturn:
raise ValueError('May not set values directly, call my_map[key].foo = 5')
def __delitem__(self, key: _K) -> None:
key = self._key_checker.CheckValue(key)
del self._values[key]
self._message_listener.Modified()
def __len__(self) -> int:
return len(self._values)
def __iter__(self) -> Iterator[_K]:
return iter(self._values)
def __repr__(self) -> str:
return repr(self._values)
def MergeFrom(self, other: 'MessageMap[_K, _V]') -> None:
# pylint: disable=protected-access
for key in other._values:
# According to documentation: "When parsing from the wire or when merging,
# if there are duplicate map keys the last key seen is used".
if key in self:
del self[key]
self[key].CopyFrom(other[key])
# self._message_listener.Modified() not required here, because
# mutations to submessages already propagate.
def InvalidateIterators(self) -> None:
# It appears that the only way to reliably invalidate iterators to
# self._values is to ensure that its size changes.
original = self._values
self._values = original.copy()
original[None] = None
# This is defined in the abstract base, but we can do it much more cheaply.
def clear(self) -> None:
self._values.clear()
self._message_listener.Modified()
def GetEntryClass(self) -> Any:
return self._entry_descriptor._concrete_class
class _UnknownField:
"""A parsed unknown field."""
# Disallows assignment to other attributes.
__slots__ = ['_field_number', '_wire_type', '_data']
def __init__(self, field_number, wire_type, data):
self._field_number = field_number
self._wire_type = wire_type
self._data = data
return
def __lt__(self, other):
# pylint: disable=protected-access
return self._field_number < other._field_number
def __eq__(self, other):
if self is other:
return True
# pylint: disable=protected-access
return (self._field_number == other._field_number and
self._wire_type == other._wire_type and
self._data == other._data)
class UnknownFieldRef: # pylint: disable=missing-class-docstring
def __init__(self, parent, index):
self._parent = parent
self._index = index
def _check_valid(self):
if not self._parent:
raise ValueError('UnknownField does not exist. '
'The parent message might be cleared.')
if self._index >= len(self._parent):
raise ValueError('UnknownField does not exist. '
'The parent message might be cleared.')
@property
def field_number(self):
self._check_valid()
# pylint: disable=protected-access
return self._parent._internal_get(self._index)._field_number
@property
def wire_type(self):
self._check_valid()
# pylint: disable=protected-access
return self._parent._internal_get(self._index)._wire_type
@property
def data(self):
self._check_valid()
# pylint: disable=protected-access
return self._parent._internal_get(self._index)._data
class UnknownFieldSet:
"""UnknownField container"""
# Disallows assignment to other attributes.
__slots__ = ['_values']
def __init__(self):
self._values = []
def __getitem__(self, index):
if self._values is None:
raise ValueError('UnknownFields does not exist. '
'The parent message might be cleared.')
size = len(self._values)
if index < 0:
index += size
if index < 0 or index >= size:
raise IndexError('index %d out of range'.index)
return UnknownFieldRef(self, index)
def _internal_get(self, index):
return self._values[index]
def __len__(self):
if self._values is None:
raise ValueError('UnknownFields does not exist. '
'The parent message might be cleared.')
return len(self._values)
def _add(self, field_number, wire_type, data):
unknown_field = _UnknownField(field_number, wire_type, data)
self._values.append(unknown_field)
return unknown_field
def __iter__(self):
for i in range(len(self)):
yield UnknownFieldRef(self, i)
def _extend(self, other):
if other is None:
return
# pylint: disable=protected-access
self._values.extend(other._values)
def __eq__(self, other):
if self is other:
return True
# Sort unknown fields because their order shouldn't
# affect equality test.
values = list(self._values)
if other is None:
return not values
values.sort()
# pylint: disable=protected-access
other_values = sorted(other._values)
return values == other_values
def _clear(self):
for value in self._values:
# pylint: disable=protected-access
if isinstance(value._data, UnknownFieldSet):
value._data._clear() # pylint: disable=protected-access
self._values = None

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Code for encoding protocol message primitives.
Contains the logic for encoding every logical protocol field type
into one of the 5 physical wire types.
This code is designed to push the Python interpreter's performance to the
limits.
The basic idea is that at startup time, for every field (i.e. every
FieldDescriptor) we construct two functions: a "sizer" and an "encoder". The
sizer takes a value of this field's type and computes its byte size. The
encoder takes a writer function and a value. It encodes the value into byte
strings and invokes the writer function to write those strings. Typically the
writer function is the write() method of a BytesIO.
We try to do as much work as possible when constructing the writer and the
sizer rather than when calling them. In particular:
* We copy any needed global functions to local variables, so that we do not need
to do costly global table lookups at runtime.
* Similarly, we try to do any attribute lookups at startup time if possible.
* Every field's tag is encoded to bytes at startup, since it can't change at
runtime.
* Whatever component of the field size we can compute at startup, we do.
* We *avoid* sharing code if doing so would make the code slower and not sharing
does not burden us too much. For example, encoders for repeated fields do
not just call the encoders for singular fields in a loop because this would
add an extra function call overhead for every loop iteration; instead, we
manually inline the single-value encoder into the loop.
* If a Python function lacks a return statement, Python actually generates
instructions to pop the result of the last statement off the stack, push
None onto the stack, and then return that. If we really don't care what
value is returned, then we can save two instructions by returning the
result of the last statement. It looks funny but it helps.
* We assume that type and bounds checking has happened at a higher level.
"""
__author__ = 'kenton@google.com (Kenton Varda)'
import struct
from google.protobuf.internal import wire_format
# This will overflow and thus become IEEE-754 "infinity". We would use
# "float('inf')" but it doesn't work on Windows pre-Python-2.6.
_POS_INF = 1e10000
_NEG_INF = -_POS_INF
def _VarintSize(value):
"""Compute the size of a varint value."""
if value <= 0x7f: return 1
if value <= 0x3fff: return 2
if value <= 0x1fffff: return 3
if value <= 0xfffffff: return 4
if value <= 0x7ffffffff: return 5
if value <= 0x3ffffffffff: return 6
if value <= 0x1ffffffffffff: return 7
if value <= 0xffffffffffffff: return 8
if value <= 0x7fffffffffffffff: return 9
return 10
def _SignedVarintSize(value):
"""Compute the size of a signed varint value."""
if value < 0: return 10
if value <= 0x7f: return 1
if value <= 0x3fff: return 2
if value <= 0x1fffff: return 3
if value <= 0xfffffff: return 4
if value <= 0x7ffffffff: return 5
if value <= 0x3ffffffffff: return 6
if value <= 0x1ffffffffffff: return 7
if value <= 0xffffffffffffff: return 8
if value <= 0x7fffffffffffffff: return 9
return 10
def _TagSize(field_number):
"""Returns the number of bytes required to serialize a tag with this field
number."""
# Just pass in type 0, since the type won't affect the tag+type size.
return _VarintSize(wire_format.PackTag(field_number, 0))
# --------------------------------------------------------------------
# In this section we define some generic sizers. Each of these functions
# takes parameters specific to a particular field type, e.g. int32 or fixed64.
# It returns another function which in turn takes parameters specific to a
# particular field, e.g. the field number and whether it is repeated or packed.
# Look at the next section to see how these are used.
def _SimpleSizer(compute_value_size):
"""A sizer which uses the function compute_value_size to compute the size of
each value. Typically compute_value_size is _VarintSize."""
def SpecificSizer(field_number, is_repeated, is_packed):
tag_size = _TagSize(field_number)
if is_packed:
local_VarintSize = _VarintSize
def PackedFieldSize(value):
result = 0
for element in value:
result += compute_value_size(element)
return result + local_VarintSize(result) + tag_size
return PackedFieldSize
elif is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
result += compute_value_size(element)
return result
return RepeatedFieldSize
else:
def FieldSize(value):
return tag_size + compute_value_size(value)
return FieldSize
return SpecificSizer
def _ModifiedSizer(compute_value_size, modify_value):
"""Like SimpleSizer, but modify_value is invoked on each value before it is
passed to compute_value_size. modify_value is typically ZigZagEncode."""
def SpecificSizer(field_number, is_repeated, is_packed):
tag_size = _TagSize(field_number)
if is_packed:
local_VarintSize = _VarintSize
def PackedFieldSize(value):
result = 0
for element in value:
result += compute_value_size(modify_value(element))
return result + local_VarintSize(result) + tag_size
return PackedFieldSize
elif is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
result += compute_value_size(modify_value(element))
return result
return RepeatedFieldSize
else:
def FieldSize(value):
return tag_size + compute_value_size(modify_value(value))
return FieldSize
return SpecificSizer
def _FixedSizer(value_size):
"""Like _SimpleSizer except for a fixed-size field. The input is the size
of one value."""
def SpecificSizer(field_number, is_repeated, is_packed):
tag_size = _TagSize(field_number)
if is_packed:
local_VarintSize = _VarintSize
def PackedFieldSize(value):
result = len(value) * value_size
return result + local_VarintSize(result) + tag_size
return PackedFieldSize
elif is_repeated:
element_size = value_size + tag_size
def RepeatedFieldSize(value):
return len(value) * element_size
return RepeatedFieldSize
else:
field_size = value_size + tag_size
def FieldSize(value):
return field_size
return FieldSize
return SpecificSizer
# ====================================================================
# Here we declare a sizer constructor for each field type. Each "sizer
# constructor" is a function that takes (field_number, is_repeated, is_packed)
# as parameters and returns a sizer, which in turn takes a field value as
# a parameter and returns its encoded size.
Int32Sizer = Int64Sizer = EnumSizer = _SimpleSizer(_SignedVarintSize)
UInt32Sizer = UInt64Sizer = _SimpleSizer(_VarintSize)
SInt32Sizer = SInt64Sizer = _ModifiedSizer(
_SignedVarintSize, wire_format.ZigZagEncode)
Fixed32Sizer = SFixed32Sizer = FloatSizer = _FixedSizer(4)
Fixed64Sizer = SFixed64Sizer = DoubleSizer = _FixedSizer(8)
BoolSizer = _FixedSizer(1)
def StringSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a string field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
local_len = len
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
l = local_len(element.encode('utf-8'))
result += local_VarintSize(l) + l
return result
return RepeatedFieldSize
else:
def FieldSize(value):
l = local_len(value.encode('utf-8'))
return tag_size + local_VarintSize(l) + l
return FieldSize
def BytesSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a bytes field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
local_len = len
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
l = local_len(element)
result += local_VarintSize(l) + l
return result
return RepeatedFieldSize
else:
def FieldSize(value):
l = local_len(value)
return tag_size + local_VarintSize(l) + l
return FieldSize
def GroupSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a group field."""
tag_size = _TagSize(field_number) * 2
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
result += element.ByteSize()
return result
return RepeatedFieldSize
else:
def FieldSize(value):
return tag_size + value.ByteSize()
return FieldSize
def MessageSizer(field_number, is_repeated, is_packed):
"""Returns a sizer for a message field."""
tag_size = _TagSize(field_number)
local_VarintSize = _VarintSize
assert not is_packed
if is_repeated:
def RepeatedFieldSize(value):
result = tag_size * len(value)
for element in value:
l = element.ByteSize()
result += local_VarintSize(l) + l
return result
return RepeatedFieldSize
else:
def FieldSize(value):
l = value.ByteSize()
return tag_size + local_VarintSize(l) + l
return FieldSize
# --------------------------------------------------------------------
# MessageSet is special: it needs custom logic to compute its size properly.
def MessageSetItemSizer(field_number):
"""Returns a sizer for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
"""
static_size = (_TagSize(1) * 2 + _TagSize(2) + _VarintSize(field_number) +
_TagSize(3))
local_VarintSize = _VarintSize
def FieldSize(value):
l = value.ByteSize()
return static_size + local_VarintSize(l) + l
return FieldSize
# --------------------------------------------------------------------
# Map is special: it needs custom logic to compute its size properly.
def MapSizer(field_descriptor, is_message_map):
"""Returns a sizer for a map field."""
# Can't look at field_descriptor.message_type._concrete_class because it may
# not have been initialized yet.
message_type = field_descriptor.message_type
message_sizer = MessageSizer(field_descriptor.number, False, False)
def FieldSize(map_value):
total = 0
for key in map_value:
value = map_value[key]
# It's wasteful to create the messages and throw them away one second
# later since we'll do the same for the actual encode. But there's not an
# obvious way to avoid this within the current design without tons of code
# duplication. For message map, value.ByteSize() should be called to
# update the status.
entry_msg = message_type._concrete_class(key=key, value=value)
total += message_sizer(entry_msg)
if is_message_map:
value.ByteSize()
return total
return FieldSize
# ====================================================================
# Encoders!
def _VarintEncoder():
"""Return an encoder for a basic varint value (does not include tag)."""
local_int2byte = struct.Struct('>B').pack
def EncodeVarint(write, value, unused_deterministic=None):
bits = value & 0x7f
value >>= 7
while value:
write(local_int2byte(0x80|bits))
bits = value & 0x7f
value >>= 7
return write(local_int2byte(bits))
return EncodeVarint
def _SignedVarintEncoder():
"""Return an encoder for a basic signed varint value (does not include
tag)."""
local_int2byte = struct.Struct('>B').pack
def EncodeSignedVarint(write, value, unused_deterministic=None):
if value < 0:
value += (1 << 64)
bits = value & 0x7f
value >>= 7
while value:
write(local_int2byte(0x80|bits))
bits = value & 0x7f
value >>= 7
return write(local_int2byte(bits))
return EncodeSignedVarint
_EncodeVarint = _VarintEncoder()
_EncodeSignedVarint = _SignedVarintEncoder()
def _VarintBytes(value):
"""Encode the given integer as a varint and return the bytes. This is only
called at startup time so it doesn't need to be fast."""
pieces = []
_EncodeVarint(pieces.append, value, True)
return b"".join(pieces)
def TagBytes(field_number, wire_type):
"""Encode the given tag and return the bytes. Only called at startup."""
return bytes(_VarintBytes(wire_format.PackTag(field_number, wire_type)))
# --------------------------------------------------------------------
# As with sizers (see above), we have a number of common encoder
# implementations.
def _SimpleEncoder(wire_type, encode_value, compute_value_size):
"""Return a constructor for an encoder for fields of a particular type.
Args:
wire_type: The field's wire type, for encoding tags.
encode_value: A function which encodes an individual value, e.g.
_EncodeVarint().
compute_value_size: A function which computes the size of an individual
value, e.g. _VarintSize().
"""
def SpecificEncoder(field_number, is_repeated, is_packed):
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value, deterministic):
write(tag_bytes)
size = 0
for element in value:
size += compute_value_size(element)
local_EncodeVarint(write, size, deterministic)
for element in value:
encode_value(write, element, deterministic)
return EncodePackedField
elif is_repeated:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeRepeatedField(write, value, deterministic):
for element in value:
write(tag_bytes)
encode_value(write, element, deterministic)
return EncodeRepeatedField
else:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeField(write, value, deterministic):
write(tag_bytes)
return encode_value(write, value, deterministic)
return EncodeField
return SpecificEncoder
def _ModifiedEncoder(wire_type, encode_value, compute_value_size, modify_value):
"""Like SimpleEncoder but additionally invokes modify_value on every value
before passing it to encode_value. Usually modify_value is ZigZagEncode."""
def SpecificEncoder(field_number, is_repeated, is_packed):
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value, deterministic):
write(tag_bytes)
size = 0
for element in value:
size += compute_value_size(modify_value(element))
local_EncodeVarint(write, size, deterministic)
for element in value:
encode_value(write, modify_value(element), deterministic)
return EncodePackedField
elif is_repeated:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeRepeatedField(write, value, deterministic):
for element in value:
write(tag_bytes)
encode_value(write, modify_value(element), deterministic)
return EncodeRepeatedField
else:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeField(write, value, deterministic):
write(tag_bytes)
return encode_value(write, modify_value(value), deterministic)
return EncodeField
return SpecificEncoder
def _StructPackEncoder(wire_type, format):
"""Return a constructor for an encoder for a fixed-width field.
Args:
wire_type: The field's wire type, for encoding tags.
format: The format string to pass to struct.pack().
"""
value_size = struct.calcsize(format)
def SpecificEncoder(field_number, is_repeated, is_packed):
local_struct_pack = struct.pack
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value, deterministic):
write(tag_bytes)
local_EncodeVarint(write, len(value) * value_size, deterministic)
for element in value:
write(local_struct_pack(format, element))
return EncodePackedField
elif is_repeated:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeRepeatedField(write, value, unused_deterministic=None):
for element in value:
write(tag_bytes)
write(local_struct_pack(format, element))
return EncodeRepeatedField
else:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeField(write, value, unused_deterministic=None):
write(tag_bytes)
return write(local_struct_pack(format, value))
return EncodeField
return SpecificEncoder
def _FloatingPointEncoder(wire_type, format):
"""Return a constructor for an encoder for float fields.
This is like StructPackEncoder, but catches errors that may be due to
passing non-finite floating-point values to struct.pack, and makes a
second attempt to encode those values.
Args:
wire_type: The field's wire type, for encoding tags.
format: The format string to pass to struct.pack().
"""
value_size = struct.calcsize(format)
if value_size == 4:
def EncodeNonFiniteOrRaise(write, value):
# Remember that the serialized form uses little-endian byte order.
if value == _POS_INF:
write(b'\x00\x00\x80\x7F')
elif value == _NEG_INF:
write(b'\x00\x00\x80\xFF')
elif value != value: # NaN
write(b'\x00\x00\xC0\x7F')
else:
raise
elif value_size == 8:
def EncodeNonFiniteOrRaise(write, value):
if value == _POS_INF:
write(b'\x00\x00\x00\x00\x00\x00\xF0\x7F')
elif value == _NEG_INF:
write(b'\x00\x00\x00\x00\x00\x00\xF0\xFF')
elif value != value: # NaN
write(b'\x00\x00\x00\x00\x00\x00\xF8\x7F')
else:
raise
else:
raise ValueError('Can\'t encode floating-point values that are '
'%d bytes long (only 4 or 8)' % value_size)
def SpecificEncoder(field_number, is_repeated, is_packed):
local_struct_pack = struct.pack
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value, deterministic):
write(tag_bytes)
local_EncodeVarint(write, len(value) * value_size, deterministic)
for element in value:
# This try/except block is going to be faster than any code that
# we could write to check whether element is finite.
try:
write(local_struct_pack(format, element))
except SystemError:
EncodeNonFiniteOrRaise(write, element)
return EncodePackedField
elif is_repeated:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeRepeatedField(write, value, unused_deterministic=None):
for element in value:
write(tag_bytes)
try:
write(local_struct_pack(format, element))
except SystemError:
EncodeNonFiniteOrRaise(write, element)
return EncodeRepeatedField
else:
tag_bytes = TagBytes(field_number, wire_type)
def EncodeField(write, value, unused_deterministic=None):
write(tag_bytes)
try:
write(local_struct_pack(format, value))
except SystemError:
EncodeNonFiniteOrRaise(write, value)
return EncodeField
return SpecificEncoder
# ====================================================================
# Here we declare an encoder constructor for each field type. These work
# very similarly to sizer constructors, described earlier.
Int32Encoder = Int64Encoder = EnumEncoder = _SimpleEncoder(
wire_format.WIRETYPE_VARINT, _EncodeSignedVarint, _SignedVarintSize)
UInt32Encoder = UInt64Encoder = _SimpleEncoder(
wire_format.WIRETYPE_VARINT, _EncodeVarint, _VarintSize)
SInt32Encoder = SInt64Encoder = _ModifiedEncoder(
wire_format.WIRETYPE_VARINT, _EncodeVarint, _VarintSize,
wire_format.ZigZagEncode)
# Note that Python conveniently guarantees that when using the '<' prefix on
# formats, they will also have the same size across all platforms (as opposed
# to without the prefix, where their sizes depend on the C compiler's basic
# type sizes).
Fixed32Encoder = _StructPackEncoder(wire_format.WIRETYPE_FIXED32, '<I')
Fixed64Encoder = _StructPackEncoder(wire_format.WIRETYPE_FIXED64, '<Q')
SFixed32Encoder = _StructPackEncoder(wire_format.WIRETYPE_FIXED32, '<i')
SFixed64Encoder = _StructPackEncoder(wire_format.WIRETYPE_FIXED64, '<q')
FloatEncoder = _FloatingPointEncoder(wire_format.WIRETYPE_FIXED32, '<f')
DoubleEncoder = _FloatingPointEncoder(wire_format.WIRETYPE_FIXED64, '<d')
def BoolEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a boolean field."""
false_byte = b'\x00'
true_byte = b'\x01'
if is_packed:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
def EncodePackedField(write, value, deterministic):
write(tag_bytes)
local_EncodeVarint(write, len(value), deterministic)
for element in value:
if element:
write(true_byte)
else:
write(false_byte)
return EncodePackedField
elif is_repeated:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_VARINT)
def EncodeRepeatedField(write, value, unused_deterministic=None):
for element in value:
write(tag_bytes)
if element:
write(true_byte)
else:
write(false_byte)
return EncodeRepeatedField
else:
tag_bytes = TagBytes(field_number, wire_format.WIRETYPE_VARINT)
def EncodeField(write, value, unused_deterministic=None):
write(tag_bytes)
if value:
return write(true_byte)
return write(false_byte)
return EncodeField
def StringEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a string field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
local_len = len
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value, deterministic):
for element in value:
encoded = element.encode('utf-8')
write(tag)
local_EncodeVarint(write, local_len(encoded), deterministic)
write(encoded)
return EncodeRepeatedField
else:
def EncodeField(write, value, deterministic):
encoded = value.encode('utf-8')
write(tag)
local_EncodeVarint(write, local_len(encoded), deterministic)
return write(encoded)
return EncodeField
def BytesEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a bytes field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
local_len = len
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value, deterministic):
for element in value:
write(tag)
local_EncodeVarint(write, local_len(element), deterministic)
write(element)
return EncodeRepeatedField
else:
def EncodeField(write, value, deterministic):
write(tag)
local_EncodeVarint(write, local_len(value), deterministic)
return write(value)
return EncodeField
def GroupEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a group field."""
start_tag = TagBytes(field_number, wire_format.WIRETYPE_START_GROUP)
end_tag = TagBytes(field_number, wire_format.WIRETYPE_END_GROUP)
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value, deterministic):
for element in value:
write(start_tag)
element._InternalSerialize(write, deterministic)
write(end_tag)
return EncodeRepeatedField
else:
def EncodeField(write, value, deterministic):
write(start_tag)
value._InternalSerialize(write, deterministic)
return write(end_tag)
return EncodeField
def MessageEncoder(field_number, is_repeated, is_packed):
"""Returns an encoder for a message field."""
tag = TagBytes(field_number, wire_format.WIRETYPE_LENGTH_DELIMITED)
local_EncodeVarint = _EncodeVarint
assert not is_packed
if is_repeated:
def EncodeRepeatedField(write, value, deterministic):
for element in value:
write(tag)
local_EncodeVarint(write, element.ByteSize(), deterministic)
element._InternalSerialize(write, deterministic)
return EncodeRepeatedField
else:
def EncodeField(write, value, deterministic):
write(tag)
local_EncodeVarint(write, value.ByteSize(), deterministic)
return value._InternalSerialize(write, deterministic)
return EncodeField
# --------------------------------------------------------------------
# As before, MessageSet is special.
def MessageSetItemEncoder(field_number):
"""Encoder for extensions of MessageSet.
The message set message looks like this:
message MessageSet {
repeated group Item = 1 {
required int32 type_id = 2;
required string message = 3;
}
}
"""
start_bytes = b"".join([
TagBytes(1, wire_format.WIRETYPE_START_GROUP),
TagBytes(2, wire_format.WIRETYPE_VARINT),
_VarintBytes(field_number),
TagBytes(3, wire_format.WIRETYPE_LENGTH_DELIMITED)])
end_bytes = TagBytes(1, wire_format.WIRETYPE_END_GROUP)
local_EncodeVarint = _EncodeVarint
def EncodeField(write, value, deterministic):
write(start_bytes)
local_EncodeVarint(write, value.ByteSize(), deterministic)
value._InternalSerialize(write, deterministic)
return write(end_bytes)
return EncodeField
# --------------------------------------------------------------------
# As before, Map is special.
def MapEncoder(field_descriptor):
"""Encoder for extensions of MessageSet.
Maps always have a wire format like this:
message MapEntry {
key_type key = 1;
value_type value = 2;
}
repeated MapEntry map = N;
"""
# Can't look at field_descriptor.message_type._concrete_class because it may
# not have been initialized yet.
message_type = field_descriptor.message_type
encode_message = MessageEncoder(field_descriptor.number, False, False)
def EncodeField(write, value, deterministic):
value_keys = sorted(value.keys()) if deterministic else value
for key in value_keys:
entry_msg = message_type._concrete_class(key=key, value=value[key])
encode_message(write, entry_msg, deterministic)
return EncodeField

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""A simple wrapper around enum types to expose utility functions.
Instances are created as properties with the same name as the enum they wrap
on proto classes. For usage, see:
reflection_test.py
"""
__author__ = 'rabsatt@google.com (Kevin Rabsatt)'
class EnumTypeWrapper(object):
"""A utility for finding the names of enum values."""
DESCRIPTOR = None
# This is a type alias, which mypy typing stubs can type as
# a genericized parameter constrained to an int, allowing subclasses
# to be typed with more constraint in .pyi stubs
# Eg.
# def MyGeneratedEnum(Message):
# ValueType = NewType('ValueType', int)
# def Name(self, number: MyGeneratedEnum.ValueType) -> str
ValueType = int
def __init__(self, enum_type):
"""Inits EnumTypeWrapper with an EnumDescriptor."""
self._enum_type = enum_type
self.DESCRIPTOR = enum_type # pylint: disable=invalid-name
def Name(self, number): # pylint: disable=invalid-name
"""Returns a string containing the name of an enum value."""
try:
return self._enum_type.values_by_number[number].name
except KeyError:
pass # fall out to break exception chaining
if not isinstance(number, int):
raise TypeError(
'Enum value for {} must be an int, but got {} {!r}.'.format(
self._enum_type.name, type(number), number))
else:
# repr here to handle the odd case when you pass in a boolean.
raise ValueError('Enum {} has no name defined for value {!r}'.format(
self._enum_type.name, number))
def Value(self, name): # pylint: disable=invalid-name
"""Returns the value corresponding to the given enum name."""
try:
return self._enum_type.values_by_name[name].number
except KeyError:
pass # fall out to break exception chaining
raise ValueError('Enum {} has no value defined for name {!r}'.format(
self._enum_type.name, name))
def keys(self):
"""Return a list of the string names in the enum.
Returns:
A list of strs, in the order they were defined in the .proto file.
"""
return [value_descriptor.name
for value_descriptor in self._enum_type.values]
def values(self):
"""Return a list of the integer values in the enum.
Returns:
A list of ints, in the order they were defined in the .proto file.
"""
return [value_descriptor.number
for value_descriptor in self._enum_type.values]
def items(self):
"""Return a list of the (name, value) pairs of the enum.
Returns:
A list of (str, int) pairs, in the order they were defined
in the .proto file.
"""
return [(value_descriptor.name, value_descriptor.number)
for value_descriptor in self._enum_type.values]
def __getattr__(self, name):
"""Returns the value corresponding to the given enum name."""
try:
return super(
EnumTypeWrapper,
self).__getattribute__('_enum_type').values_by_name[name].number
except KeyError:
pass # fall out to break exception chaining
raise AttributeError('Enum {} has no value defined for name {!r}'.format(
self._enum_type.name, name))

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Contains _ExtensionDict class to represent extensions.
"""
from google.protobuf.internal import type_checkers
from google.protobuf.descriptor import FieldDescriptor
def _VerifyExtensionHandle(message, extension_handle):
"""Verify that the given extension handle is valid."""
if not isinstance(extension_handle, FieldDescriptor):
raise KeyError('HasExtension() expects an extension handle, got: %s' %
extension_handle)
if not extension_handle.is_extension:
raise KeyError('"%s" is not an extension.' % extension_handle.full_name)
if not extension_handle.containing_type:
raise KeyError('"%s" is missing a containing_type.'
% extension_handle.full_name)
if extension_handle.containing_type is not message.DESCRIPTOR:
raise KeyError('Extension "%s" extends message type "%s", but this '
'message is of type "%s".' %
(extension_handle.full_name,
extension_handle.containing_type.full_name,
message.DESCRIPTOR.full_name))
# TODO(robinson): Unify error handling of "unknown extension" crap.
# TODO(robinson): Support iteritems()-style iteration over all
# extensions with the "has" bits turned on?
class _ExtensionDict(object):
"""Dict-like container for Extension fields on proto instances.
Note that in all cases we expect extension handles to be
FieldDescriptors.
"""
def __init__(self, extended_message):
"""
Args:
extended_message: Message instance for which we are the Extensions dict.
"""
self._extended_message = extended_message
def __getitem__(self, extension_handle):
"""Returns the current value of the given extension handle."""
_VerifyExtensionHandle(self._extended_message, extension_handle)
result = self._extended_message._fields.get(extension_handle)
if result is not None:
return result
if extension_handle.label == FieldDescriptor.LABEL_REPEATED:
result = extension_handle._default_constructor(self._extended_message)
elif extension_handle.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE:
message_type = extension_handle.message_type
if not hasattr(message_type, '_concrete_class'):
# pylint: disable=protected-access
self._extended_message._FACTORY.GetPrototype(message_type)
assert getattr(extension_handle.message_type, '_concrete_class', None), (
'Uninitialized concrete class found for field %r (message type %r)'
% (extension_handle.full_name,
extension_handle.message_type.full_name))
result = extension_handle.message_type._concrete_class()
try:
result._SetListener(self._extended_message._listener_for_children)
except ReferenceError:
pass
else:
# Singular scalar -- just return the default without inserting into the
# dict.
return extension_handle.default_value
# Atomically check if another thread has preempted us and, if not, swap
# in the new object we just created. If someone has preempted us, we
# take that object and discard ours.
# WARNING: We are relying on setdefault() being atomic. This is true
# in CPython but we haven't investigated others. This warning appears
# in several other locations in this file.
result = self._extended_message._fields.setdefault(
extension_handle, result)
return result
def __eq__(self, other):
if not isinstance(other, self.__class__):
return False
my_fields = self._extended_message.ListFields()
other_fields = other._extended_message.ListFields()
# Get rid of non-extension fields.
my_fields = [field for field in my_fields if field.is_extension]
other_fields = [field for field in other_fields if field.is_extension]
return my_fields == other_fields
def __ne__(self, other):
return not self == other
def __len__(self):
fields = self._extended_message.ListFields()
# Get rid of non-extension fields.
extension_fields = [field for field in fields if field[0].is_extension]
return len(extension_fields)
def __hash__(self):
raise TypeError('unhashable object')
# Note that this is only meaningful for non-repeated, scalar extension
# fields. Note also that we may have to call _Modified() when we do
# successfully set a field this way, to set any necessary "has" bits in the
# ancestors of the extended message.
def __setitem__(self, extension_handle, value):
"""If extension_handle specifies a non-repeated, scalar extension
field, sets the value of that field.
"""
_VerifyExtensionHandle(self._extended_message, extension_handle)
if (extension_handle.label == FieldDescriptor.LABEL_REPEATED or
extension_handle.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE):
raise TypeError(
'Cannot assign to extension "%s" because it is a repeated or '
'composite type.' % extension_handle.full_name)
# It's slightly wasteful to lookup the type checker each time,
# but we expect this to be a vanishingly uncommon case anyway.
type_checker = type_checkers.GetTypeChecker(extension_handle)
# pylint: disable=protected-access
self._extended_message._fields[extension_handle] = (
type_checker.CheckValue(value))
self._extended_message._Modified()
def __delitem__(self, extension_handle):
self._extended_message.ClearExtension(extension_handle)
def _FindExtensionByName(self, name):
"""Tries to find a known extension with the specified name.
Args:
name: Extension full name.
Returns:
Extension field descriptor.
"""
return self._extended_message._extensions_by_name.get(name, None)
def _FindExtensionByNumber(self, number):
"""Tries to find a known extension with the field number.
Args:
number: Extension field number.
Returns:
Extension field descriptor.
"""
return self._extended_message._extensions_by_number.get(number, None)
def __iter__(self):
# Return a generator over the populated extension fields
return (f[0] for f in self._extended_message.ListFields()
if f[0].is_extension)
def __contains__(self, extension_handle):
_VerifyExtensionHandle(self._extended_message, extension_handle)
if extension_handle not in self._extended_message._fields:
return False
if extension_handle.label == FieldDescriptor.LABEL_REPEATED:
return bool(self._extended_message._fields.get(extension_handle))
if extension_handle.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE:
value = self._extended_message._fields.get(extension_handle)
# pylint: disable=protected-access
return value is not None and value._is_present_in_parent
return True

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Defines a listener interface for observing certain
state transitions on Message objects.
Also defines a null implementation of this interface.
"""
__author__ = 'robinson@google.com (Will Robinson)'
class MessageListener(object):
"""Listens for modifications made to a message. Meant to be registered via
Message._SetListener().
Attributes:
dirty: If True, then calling Modified() would be a no-op. This can be
used to avoid these calls entirely in the common case.
"""
def Modified(self):
"""Called every time the message is modified in such a way that the parent
message may need to be updated. This currently means either:
(a) The message was modified for the first time, so the parent message
should henceforth mark the message as present.
(b) The message's cached byte size became dirty -- i.e. the message was
modified for the first time after a previous call to ByteSize().
Therefore the parent should also mark its byte size as dirty.
Note that (a) implies (b), since new objects start out with a client cached
size (zero). However, we document (a) explicitly because it is important.
Modified() will *only* be called in response to one of these two events --
not every time the sub-message is modified.
Note that if the listener's |dirty| attribute is true, then calling
Modified at the moment would be a no-op, so it can be skipped. Performance-
sensitive callers should check this attribute directly before calling since
it will be true most of the time.
"""
raise NotImplementedError
class NullMessageListener(object):
"""No-op MessageListener implementation."""
def Modified(self):
pass

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Provides type checking routines.
This module defines type checking utilities in the forms of dictionaries:
VALUE_CHECKERS: A dictionary of field types and a value validation object.
TYPE_TO_BYTE_SIZE_FN: A dictionary with field types and a size computing
function.
TYPE_TO_SERIALIZE_METHOD: A dictionary with field types and serialization
function.
FIELD_TYPE_TO_WIRE_TYPE: A dictionary with field typed and their
corresponding wire types.
TYPE_TO_DESERIALIZE_METHOD: A dictionary with field types and deserialization
function.
"""
__author__ = 'robinson@google.com (Will Robinson)'
import ctypes
import numbers
from google.protobuf.internal import decoder
from google.protobuf.internal import encoder
from google.protobuf.internal import wire_format
from google.protobuf import descriptor
_FieldDescriptor = descriptor.FieldDescriptor
def TruncateToFourByteFloat(original):
return ctypes.c_float(original).value
def ToShortestFloat(original):
"""Returns the shortest float that has same value in wire."""
# All 4 byte floats have between 6 and 9 significant digits, so we
# start with 6 as the lower bound.
# It has to be iterative because use '.9g' directly can not get rid
# of the noises for most values. For example if set a float_field=0.9
# use '.9g' will print 0.899999976.
precision = 6
rounded = float('{0:.{1}g}'.format(original, precision))
while TruncateToFourByteFloat(rounded) != original:
precision += 1
rounded = float('{0:.{1}g}'.format(original, precision))
return rounded
def SupportsOpenEnums(field_descriptor):
return field_descriptor.containing_type.syntax == 'proto3'
def GetTypeChecker(field):
"""Returns a type checker for a message field of the specified types.
Args:
field: FieldDescriptor object for this field.
Returns:
An instance of TypeChecker which can be used to verify the types
of values assigned to a field of the specified type.
"""
if (field.cpp_type == _FieldDescriptor.CPPTYPE_STRING and
field.type == _FieldDescriptor.TYPE_STRING):
return UnicodeValueChecker()
if field.cpp_type == _FieldDescriptor.CPPTYPE_ENUM:
if SupportsOpenEnums(field):
# When open enums are supported, any int32 can be assigned.
return _VALUE_CHECKERS[_FieldDescriptor.CPPTYPE_INT32]
else:
return EnumValueChecker(field.enum_type)
return _VALUE_CHECKERS[field.cpp_type]
# None of the typecheckers below make any attempt to guard against people
# subclassing builtin types and doing weird things. We're not trying to
# protect against malicious clients here, just people accidentally shooting
# themselves in the foot in obvious ways.
class TypeChecker(object):
"""Type checker used to catch type errors as early as possible
when the client is setting scalar fields in protocol messages.
"""
def __init__(self, *acceptable_types):
self._acceptable_types = acceptable_types
def CheckValue(self, proposed_value):
"""Type check the provided value and return it.
The returned value might have been normalized to another type.
"""
if not isinstance(proposed_value, self._acceptable_types):
message = ('%.1024r has type %s, but expected one of: %s' %
(proposed_value, type(proposed_value), self._acceptable_types))
raise TypeError(message)
return proposed_value
class TypeCheckerWithDefault(TypeChecker):
def __init__(self, default_value, *acceptable_types):
TypeChecker.__init__(self, *acceptable_types)
self._default_value = default_value
def DefaultValue(self):
return self._default_value
class BoolValueChecker(object):
"""Type checker used for bool fields."""
def CheckValue(self, proposed_value):
if not hasattr(proposed_value, '__index__') or (
type(proposed_value).__module__ == 'numpy' and
type(proposed_value).__name__ == 'ndarray'):
message = ('%.1024r has type %s, but expected one of: %s' %
(proposed_value, type(proposed_value), (bool, int)))
raise TypeError(message)
return bool(proposed_value)
def DefaultValue(self):
return False
# IntValueChecker and its subclasses perform integer type-checks
# and bounds-checks.
class IntValueChecker(object):
"""Checker used for integer fields. Performs type-check and range check."""
def CheckValue(self, proposed_value):
if not hasattr(proposed_value, '__index__') or (
type(proposed_value).__module__ == 'numpy' and
type(proposed_value).__name__ == 'ndarray'):
message = ('%.1024r has type %s, but expected one of: %s' %
(proposed_value, type(proposed_value), (int,)))
raise TypeError(message)
if not self._MIN <= int(proposed_value) <= self._MAX:
raise ValueError('Value out of range: %d' % proposed_value)
# We force all values to int to make alternate implementations where the
# distinction is more significant (e.g. the C++ implementation) simpler.
proposed_value = int(proposed_value)
return proposed_value
def DefaultValue(self):
return 0
class EnumValueChecker(object):
"""Checker used for enum fields. Performs type-check and range check."""
def __init__(self, enum_type):
self._enum_type = enum_type
def CheckValue(self, proposed_value):
if not isinstance(proposed_value, numbers.Integral):
message = ('%.1024r has type %s, but expected one of: %s' %
(proposed_value, type(proposed_value), (int,)))
raise TypeError(message)
if int(proposed_value) not in self._enum_type.values_by_number:
raise ValueError('Unknown enum value: %d' % proposed_value)
return proposed_value
def DefaultValue(self):
return self._enum_type.values[0].number
class UnicodeValueChecker(object):
"""Checker used for string fields.
Always returns a unicode value, even if the input is of type str.
"""
def CheckValue(self, proposed_value):
if not isinstance(proposed_value, (bytes, str)):
message = ('%.1024r has type %s, but expected one of: %s' %
(proposed_value, type(proposed_value), (bytes, str)))
raise TypeError(message)
# If the value is of type 'bytes' make sure that it is valid UTF-8 data.
if isinstance(proposed_value, bytes):
try:
proposed_value = proposed_value.decode('utf-8')
except UnicodeDecodeError:
raise ValueError('%.1024r has type bytes, but isn\'t valid UTF-8 '
'encoding. Non-UTF-8 strings must be converted to '
'unicode objects before being added.' %
(proposed_value))
else:
try:
proposed_value.encode('utf8')
except UnicodeEncodeError:
raise ValueError('%.1024r isn\'t a valid unicode string and '
'can\'t be encoded in UTF-8.'%
(proposed_value))
return proposed_value
def DefaultValue(self):
return u""
class Int32ValueChecker(IntValueChecker):
# We're sure to use ints instead of longs here since comparison may be more
# efficient.
_MIN = -2147483648
_MAX = 2147483647
class Uint32ValueChecker(IntValueChecker):
_MIN = 0
_MAX = (1 << 32) - 1
class Int64ValueChecker(IntValueChecker):
_MIN = -(1 << 63)
_MAX = (1 << 63) - 1
class Uint64ValueChecker(IntValueChecker):
_MIN = 0
_MAX = (1 << 64) - 1
# The max 4 bytes float is about 3.4028234663852886e+38
_FLOAT_MAX = float.fromhex('0x1.fffffep+127')
_FLOAT_MIN = -_FLOAT_MAX
_INF = float('inf')
_NEG_INF = float('-inf')
class DoubleValueChecker(object):
"""Checker used for double fields.
Performs type-check and range check.
"""
def CheckValue(self, proposed_value):
"""Check and convert proposed_value to float."""
if (not hasattr(proposed_value, '__float__') and
not hasattr(proposed_value, '__index__')) or (
type(proposed_value).__module__ == 'numpy' and
type(proposed_value).__name__ == 'ndarray'):
message = ('%.1024r has type %s, but expected one of: int, float' %
(proposed_value, type(proposed_value)))
raise TypeError(message)
return float(proposed_value)
def DefaultValue(self):
return 0.0
class FloatValueChecker(DoubleValueChecker):
"""Checker used for float fields.
Performs type-check and range check.
Values exceeding a 32-bit float will be converted to inf/-inf.
"""
def CheckValue(self, proposed_value):
"""Check and convert proposed_value to float."""
converted_value = super().CheckValue(proposed_value)
# This inf rounding matches the C++ proto SafeDoubleToFloat logic.
if converted_value > _FLOAT_MAX:
return _INF
if converted_value < _FLOAT_MIN:
return _NEG_INF
return TruncateToFourByteFloat(converted_value)
# Type-checkers for all scalar CPPTYPEs.
_VALUE_CHECKERS = {
_FieldDescriptor.CPPTYPE_INT32: Int32ValueChecker(),
_FieldDescriptor.CPPTYPE_INT64: Int64ValueChecker(),
_FieldDescriptor.CPPTYPE_UINT32: Uint32ValueChecker(),
_FieldDescriptor.CPPTYPE_UINT64: Uint64ValueChecker(),
_FieldDescriptor.CPPTYPE_DOUBLE: DoubleValueChecker(),
_FieldDescriptor.CPPTYPE_FLOAT: FloatValueChecker(),
_FieldDescriptor.CPPTYPE_BOOL: BoolValueChecker(),
_FieldDescriptor.CPPTYPE_STRING: TypeCheckerWithDefault(b'', bytes),
}
# Map from field type to a function F, such that F(field_num, value)
# gives the total byte size for a value of the given type. This
# byte size includes tag information and any other additional space
# associated with serializing "value".
TYPE_TO_BYTE_SIZE_FN = {
_FieldDescriptor.TYPE_DOUBLE: wire_format.DoubleByteSize,
_FieldDescriptor.TYPE_FLOAT: wire_format.FloatByteSize,
_FieldDescriptor.TYPE_INT64: wire_format.Int64ByteSize,
_FieldDescriptor.TYPE_UINT64: wire_format.UInt64ByteSize,
_FieldDescriptor.TYPE_INT32: wire_format.Int32ByteSize,
_FieldDescriptor.TYPE_FIXED64: wire_format.Fixed64ByteSize,
_FieldDescriptor.TYPE_FIXED32: wire_format.Fixed32ByteSize,
_FieldDescriptor.TYPE_BOOL: wire_format.BoolByteSize,
_FieldDescriptor.TYPE_STRING: wire_format.StringByteSize,
_FieldDescriptor.TYPE_GROUP: wire_format.GroupByteSize,
_FieldDescriptor.TYPE_MESSAGE: wire_format.MessageByteSize,
_FieldDescriptor.TYPE_BYTES: wire_format.BytesByteSize,
_FieldDescriptor.TYPE_UINT32: wire_format.UInt32ByteSize,
_FieldDescriptor.TYPE_ENUM: wire_format.EnumByteSize,
_FieldDescriptor.TYPE_SFIXED32: wire_format.SFixed32ByteSize,
_FieldDescriptor.TYPE_SFIXED64: wire_format.SFixed64ByteSize,
_FieldDescriptor.TYPE_SINT32: wire_format.SInt32ByteSize,
_FieldDescriptor.TYPE_SINT64: wire_format.SInt64ByteSize
}
# Maps from field types to encoder constructors.
TYPE_TO_ENCODER = {
_FieldDescriptor.TYPE_DOUBLE: encoder.DoubleEncoder,
_FieldDescriptor.TYPE_FLOAT: encoder.FloatEncoder,
_FieldDescriptor.TYPE_INT64: encoder.Int64Encoder,
_FieldDescriptor.TYPE_UINT64: encoder.UInt64Encoder,
_FieldDescriptor.TYPE_INT32: encoder.Int32Encoder,
_FieldDescriptor.TYPE_FIXED64: encoder.Fixed64Encoder,
_FieldDescriptor.TYPE_FIXED32: encoder.Fixed32Encoder,
_FieldDescriptor.TYPE_BOOL: encoder.BoolEncoder,
_FieldDescriptor.TYPE_STRING: encoder.StringEncoder,
_FieldDescriptor.TYPE_GROUP: encoder.GroupEncoder,
_FieldDescriptor.TYPE_MESSAGE: encoder.MessageEncoder,
_FieldDescriptor.TYPE_BYTES: encoder.BytesEncoder,
_FieldDescriptor.TYPE_UINT32: encoder.UInt32Encoder,
_FieldDescriptor.TYPE_ENUM: encoder.EnumEncoder,
_FieldDescriptor.TYPE_SFIXED32: encoder.SFixed32Encoder,
_FieldDescriptor.TYPE_SFIXED64: encoder.SFixed64Encoder,
_FieldDescriptor.TYPE_SINT32: encoder.SInt32Encoder,
_FieldDescriptor.TYPE_SINT64: encoder.SInt64Encoder,
}
# Maps from field types to sizer constructors.
TYPE_TO_SIZER = {
_FieldDescriptor.TYPE_DOUBLE: encoder.DoubleSizer,
_FieldDescriptor.TYPE_FLOAT: encoder.FloatSizer,
_FieldDescriptor.TYPE_INT64: encoder.Int64Sizer,
_FieldDescriptor.TYPE_UINT64: encoder.UInt64Sizer,
_FieldDescriptor.TYPE_INT32: encoder.Int32Sizer,
_FieldDescriptor.TYPE_FIXED64: encoder.Fixed64Sizer,
_FieldDescriptor.TYPE_FIXED32: encoder.Fixed32Sizer,
_FieldDescriptor.TYPE_BOOL: encoder.BoolSizer,
_FieldDescriptor.TYPE_STRING: encoder.StringSizer,
_FieldDescriptor.TYPE_GROUP: encoder.GroupSizer,
_FieldDescriptor.TYPE_MESSAGE: encoder.MessageSizer,
_FieldDescriptor.TYPE_BYTES: encoder.BytesSizer,
_FieldDescriptor.TYPE_UINT32: encoder.UInt32Sizer,
_FieldDescriptor.TYPE_ENUM: encoder.EnumSizer,
_FieldDescriptor.TYPE_SFIXED32: encoder.SFixed32Sizer,
_FieldDescriptor.TYPE_SFIXED64: encoder.SFixed64Sizer,
_FieldDescriptor.TYPE_SINT32: encoder.SInt32Sizer,
_FieldDescriptor.TYPE_SINT64: encoder.SInt64Sizer,
}
# Maps from field type to a decoder constructor.
TYPE_TO_DECODER = {
_FieldDescriptor.TYPE_DOUBLE: decoder.DoubleDecoder,
_FieldDescriptor.TYPE_FLOAT: decoder.FloatDecoder,
_FieldDescriptor.TYPE_INT64: decoder.Int64Decoder,
_FieldDescriptor.TYPE_UINT64: decoder.UInt64Decoder,
_FieldDescriptor.TYPE_INT32: decoder.Int32Decoder,
_FieldDescriptor.TYPE_FIXED64: decoder.Fixed64Decoder,
_FieldDescriptor.TYPE_FIXED32: decoder.Fixed32Decoder,
_FieldDescriptor.TYPE_BOOL: decoder.BoolDecoder,
_FieldDescriptor.TYPE_STRING: decoder.StringDecoder,
_FieldDescriptor.TYPE_GROUP: decoder.GroupDecoder,
_FieldDescriptor.TYPE_MESSAGE: decoder.MessageDecoder,
_FieldDescriptor.TYPE_BYTES: decoder.BytesDecoder,
_FieldDescriptor.TYPE_UINT32: decoder.UInt32Decoder,
_FieldDescriptor.TYPE_ENUM: decoder.EnumDecoder,
_FieldDescriptor.TYPE_SFIXED32: decoder.SFixed32Decoder,
_FieldDescriptor.TYPE_SFIXED64: decoder.SFixed64Decoder,
_FieldDescriptor.TYPE_SINT32: decoder.SInt32Decoder,
_FieldDescriptor.TYPE_SINT64: decoder.SInt64Decoder,
}
# Maps from field type to expected wiretype.
FIELD_TYPE_TO_WIRE_TYPE = {
_FieldDescriptor.TYPE_DOUBLE: wire_format.WIRETYPE_FIXED64,
_FieldDescriptor.TYPE_FLOAT: wire_format.WIRETYPE_FIXED32,
_FieldDescriptor.TYPE_INT64: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_UINT64: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_INT32: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_FIXED64: wire_format.WIRETYPE_FIXED64,
_FieldDescriptor.TYPE_FIXED32: wire_format.WIRETYPE_FIXED32,
_FieldDescriptor.TYPE_BOOL: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_STRING:
wire_format.WIRETYPE_LENGTH_DELIMITED,
_FieldDescriptor.TYPE_GROUP: wire_format.WIRETYPE_START_GROUP,
_FieldDescriptor.TYPE_MESSAGE:
wire_format.WIRETYPE_LENGTH_DELIMITED,
_FieldDescriptor.TYPE_BYTES:
wire_format.WIRETYPE_LENGTH_DELIMITED,
_FieldDescriptor.TYPE_UINT32: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_ENUM: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_SFIXED32: wire_format.WIRETYPE_FIXED32,
_FieldDescriptor.TYPE_SFIXED64: wire_format.WIRETYPE_FIXED64,
_FieldDescriptor.TYPE_SINT32: wire_format.WIRETYPE_VARINT,
_FieldDescriptor.TYPE_SINT64: wire_format.WIRETYPE_VARINT,
}

878
resources/lib/deps/librespot/proto/google/protobuf/internal/well_known_types.py
View file

@ -1,878 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Contains well known classes.
This files defines well known classes which need extra maintenance including:
- Any
- Duration
- FieldMask
- Struct
- Timestamp
"""
__author__ = 'jieluo@google.com (Jie Luo)'
import calendar
import collections.abc
import datetime
from google.protobuf.descriptor import FieldDescriptor
_TIMESTAMPFOMAT = '%Y-%m-%dT%H:%M:%S'
_NANOS_PER_SECOND = 1000000000
_NANOS_PER_MILLISECOND = 1000000
_NANOS_PER_MICROSECOND = 1000
_MILLIS_PER_SECOND = 1000
_MICROS_PER_SECOND = 1000000
_SECONDS_PER_DAY = 24 * 3600
_DURATION_SECONDS_MAX = 315576000000
class Any(object):
"""Class for Any Message type."""
__slots__ = ()
def Pack(self, msg, type_url_prefix='type.googleapis.com/',
deterministic=None):
"""Packs the specified message into current Any message."""
if len(type_url_prefix) < 1 or type_url_prefix[-1] != '/':
self.type_url = '%s/%s' % (type_url_prefix, msg.DESCRIPTOR.full_name)
else:
self.type_url = '%s%s' % (type_url_prefix, msg.DESCRIPTOR.full_name)
self.value = msg.SerializeToString(deterministic=deterministic)
def Unpack(self, msg):
"""Unpacks the current Any message into specified message."""
descriptor = msg.DESCRIPTOR
if not self.Is(descriptor):
return False
msg.ParseFromString(self.value)
return True
def TypeName(self):
"""Returns the protobuf type name of the inner message."""
# Only last part is to be used: b/25630112
return self.type_url.split('/')[-1]
def Is(self, descriptor):
"""Checks if this Any represents the given protobuf type."""
return '/' in self.type_url and self.TypeName() == descriptor.full_name
_EPOCH_DATETIME_NAIVE = datetime.datetime.utcfromtimestamp(0)
_EPOCH_DATETIME_AWARE = datetime.datetime.fromtimestamp(
0, tz=datetime.timezone.utc)
class Timestamp(object):
"""Class for Timestamp message type."""
__slots__ = ()
def ToJsonString(self):
"""Converts Timestamp to RFC 3339 date string format.
Returns:
A string converted from timestamp. The string is always Z-normalized
and uses 3, 6 or 9 fractional digits as required to represent the
exact time. Example of the return format: '1972-01-01T10:00:20.021Z'
"""
nanos = self.nanos % _NANOS_PER_SECOND
total_sec = self.seconds + (self.nanos - nanos) // _NANOS_PER_SECOND
seconds = total_sec % _SECONDS_PER_DAY
days = (total_sec - seconds) // _SECONDS_PER_DAY
dt = datetime.datetime(1970, 1, 1) + datetime.timedelta(days, seconds)
result = dt.isoformat()
if (nanos % 1e9) == 0:
# If there are 0 fractional digits, the fractional
# point '.' should be omitted when serializing.
return result + 'Z'
if (nanos % 1e6) == 0:
# Serialize 3 fractional digits.
return result + '.%03dZ' % (nanos / 1e6)
if (nanos % 1e3) == 0:
# Serialize 6 fractional digits.
return result + '.%06dZ' % (nanos / 1e3)
# Serialize 9 fractional digits.
return result + '.%09dZ' % nanos
def FromJsonString(self, value):
"""Parse a RFC 3339 date string format to Timestamp.
Args:
value: A date string. Any fractional digits (or none) and any offset are
accepted as long as they fit into nano-seconds precision.
Example of accepted format: '1972-01-01T10:00:20.021-05:00'
Raises:
ValueError: On parsing problems.
"""
if not isinstance(value, str):
raise ValueError('Timestamp JSON value not a string: {!r}'.format(value))
timezone_offset = value.find('Z')
if timezone_offset == -1:
timezone_offset = value.find('+')
if timezone_offset == -1:
timezone_offset = value.rfind('-')
if timezone_offset == -1:
raise ValueError(
'Failed to parse timestamp: missing valid timezone offset.')
time_value = value[0:timezone_offset]
# Parse datetime and nanos.
point_position = time_value.find('.')
if point_position == -1:
second_value = time_value
nano_value = ''
else:
second_value = time_value[:point_position]
nano_value = time_value[point_position + 1:]
if 't' in second_value:
raise ValueError(
'time data \'{0}\' does not match format \'%Y-%m-%dT%H:%M:%S\', '
'lowercase \'t\' is not accepted'.format(second_value))
date_object = datetime.datetime.strptime(second_value, _TIMESTAMPFOMAT)
td = date_object - datetime.datetime(1970, 1, 1)
seconds = td.seconds + td.days * _SECONDS_PER_DAY
if len(nano_value) > 9:
raise ValueError(
'Failed to parse Timestamp: nanos {0} more than '
'9 fractional digits.'.format(nano_value))
if nano_value:
nanos = round(float('0.' + nano_value) * 1e9)
else:
nanos = 0
# Parse timezone offsets.
if value[timezone_offset] == 'Z':
if len(value) != timezone_offset + 1:
raise ValueError('Failed to parse timestamp: invalid trailing'
' data {0}.'.format(value))
else:
timezone = value[timezone_offset:]
pos = timezone.find(':')
if pos == -1:
raise ValueError(
'Invalid timezone offset value: {0}.'.format(timezone))
if timezone[0] == '+':
seconds -= (int(timezone[1:pos])*60+int(timezone[pos+1:]))*60
else:
seconds += (int(timezone[1:pos])*60+int(timezone[pos+1:]))*60
# Set seconds and nanos
self.seconds = int(seconds)
self.nanos = int(nanos)
def GetCurrentTime(self):
"""Get the current UTC into Timestamp."""
self.FromDatetime(datetime.datetime.utcnow())
def ToNanoseconds(self):
"""Converts Timestamp to nanoseconds since epoch."""
return self.seconds * _NANOS_PER_SECOND + self.nanos
def ToMicroseconds(self):
"""Converts Timestamp to microseconds since epoch."""
return (self.seconds * _MICROS_PER_SECOND +
self.nanos // _NANOS_PER_MICROSECOND)
def ToMilliseconds(self):
"""Converts Timestamp to milliseconds since epoch."""
return (self.seconds * _MILLIS_PER_SECOND +
self.nanos // _NANOS_PER_MILLISECOND)
def ToSeconds(self):
"""Converts Timestamp to seconds since epoch."""
return self.seconds
def FromNanoseconds(self, nanos):
"""Converts nanoseconds since epoch to Timestamp."""
self.seconds = nanos // _NANOS_PER_SECOND
self.nanos = nanos % _NANOS_PER_SECOND
def FromMicroseconds(self, micros):
"""Converts microseconds since epoch to Timestamp."""
self.seconds = micros // _MICROS_PER_SECOND
self.nanos = (micros % _MICROS_PER_SECOND) * _NANOS_PER_MICROSECOND
def FromMilliseconds(self, millis):
"""Converts milliseconds since epoch to Timestamp."""
self.seconds = millis // _MILLIS_PER_SECOND
self.nanos = (millis % _MILLIS_PER_SECOND) * _NANOS_PER_MILLISECOND
def FromSeconds(self, seconds):
"""Converts seconds since epoch to Timestamp."""
self.seconds = seconds
self.nanos = 0
def ToDatetime(self, tzinfo=None):
"""Converts Timestamp to a datetime.
Args:
tzinfo: A datetime.tzinfo subclass; defaults to None.
Returns:
If tzinfo is None, returns a timezone-naive UTC datetime (with no timezone
information, i.e. not aware that it's UTC).
Otherwise, returns a timezone-aware datetime in the input timezone.
"""
delta = datetime.timedelta(
seconds=self.seconds,
microseconds=_RoundTowardZero(self.nanos, _NANOS_PER_MICROSECOND))
if tzinfo is None:
return _EPOCH_DATETIME_NAIVE + delta
else:
return _EPOCH_DATETIME_AWARE.astimezone(tzinfo) + delta
def FromDatetime(self, dt):
"""Converts datetime to Timestamp.
Args:
dt: A datetime. If it's timezone-naive, it's assumed to be in UTC.
"""
# Using this guide: http://wiki.python.org/moin/WorkingWithTime
# And this conversion guide: http://docs.python.org/library/time.html
# Turn the date parameter into a tuple (struct_time) that can then be
# manipulated into a long value of seconds. During the conversion from
# struct_time to long, the source date in UTC, and so it follows that the
# correct transformation is calendar.timegm()
self.seconds = calendar.timegm(dt.utctimetuple())
self.nanos = dt.microsecond * _NANOS_PER_MICROSECOND
class Duration(object):
"""Class for Duration message type."""
__slots__ = ()
def ToJsonString(self):
"""Converts Duration to string format.
Returns:
A string converted from self. The string format will contains
3, 6, or 9 fractional digits depending on the precision required to
represent the exact Duration value. For example: "1s", "1.010s",
"1.000000100s", "-3.100s"
"""
_CheckDurationValid(self.seconds, self.nanos)
if self.seconds < 0 or self.nanos < 0:
result = '-'
seconds = - self.seconds + int((0 - self.nanos) // 1e9)
nanos = (0 - self.nanos) % 1e9
else:
result = ''
seconds = self.seconds + int(self.nanos // 1e9)
nanos = self.nanos % 1e9
result += '%d' % seconds
if (nanos % 1e9) == 0:
# If there are 0 fractional digits, the fractional
# point '.' should be omitted when serializing.
return result + 's'
if (nanos % 1e6) == 0:
# Serialize 3 fractional digits.
return result + '.%03ds' % (nanos / 1e6)
if (nanos % 1e3) == 0:
# Serialize 6 fractional digits.
return result + '.%06ds' % (nanos / 1e3)
# Serialize 9 fractional digits.
return result + '.%09ds' % nanos
def FromJsonString(self, value):
"""Converts a string to Duration.
Args:
value: A string to be converted. The string must end with 's'. Any
fractional digits (or none) are accepted as long as they fit into
precision. For example: "1s", "1.01s", "1.0000001s", "-3.100s
Raises:
ValueError: On parsing problems.
"""
if not isinstance(value, str):
raise ValueError('Duration JSON value not a string: {!r}'.format(value))
if len(value) < 1 or value[-1] != 's':
raise ValueError(
'Duration must end with letter "s": {0}.'.format(value))
try:
pos = value.find('.')
if pos == -1:
seconds = int(value[:-1])
nanos = 0
else:
seconds = int(value[:pos])
if value[0] == '-':
nanos = int(round(float('-0{0}'.format(value[pos: -1])) *1e9))
else:
nanos = int(round(float('0{0}'.format(value[pos: -1])) *1e9))
_CheckDurationValid(seconds, nanos)
self.seconds = seconds
self.nanos = nanos
except ValueError as e:
raise ValueError(
'Couldn\'t parse duration: {0} : {1}.'.format(value, e))
def ToNanoseconds(self):
"""Converts a Duration to nanoseconds."""
return self.seconds * _NANOS_PER_SECOND + self.nanos
def ToMicroseconds(self):
"""Converts a Duration to microseconds."""
micros = _RoundTowardZero(self.nanos, _NANOS_PER_MICROSECOND)
return self.seconds * _MICROS_PER_SECOND + micros
def ToMilliseconds(self):
"""Converts a Duration to milliseconds."""
millis = _RoundTowardZero(self.nanos, _NANOS_PER_MILLISECOND)
return self.seconds * _MILLIS_PER_SECOND + millis
def ToSeconds(self):
"""Converts a Duration to seconds."""
return self.seconds
def FromNanoseconds(self, nanos):
"""Converts nanoseconds to Duration."""
self._NormalizeDuration(nanos // _NANOS_PER_SECOND,
nanos % _NANOS_PER_SECOND)
def FromMicroseconds(self, micros):
"""Converts microseconds to Duration."""
self._NormalizeDuration(
micros // _MICROS_PER_SECOND,
(micros % _MICROS_PER_SECOND) * _NANOS_PER_MICROSECOND)
def FromMilliseconds(self, millis):
"""Converts milliseconds to Duration."""
self._NormalizeDuration(
millis // _MILLIS_PER_SECOND,
(millis % _MILLIS_PER_SECOND) * _NANOS_PER_MILLISECOND)
def FromSeconds(self, seconds):
"""Converts seconds to Duration."""
self.seconds = seconds
self.nanos = 0
def ToTimedelta(self):
"""Converts Duration to timedelta."""
return datetime.timedelta(
seconds=self.seconds, microseconds=_RoundTowardZero(
self.nanos, _NANOS_PER_MICROSECOND))
def FromTimedelta(self, td):
"""Converts timedelta to Duration."""
self._NormalizeDuration(td.seconds + td.days * _SECONDS_PER_DAY,
td.microseconds * _NANOS_PER_MICROSECOND)
def _NormalizeDuration(self, seconds, nanos):
"""Set Duration by seconds and nanos."""
# Force nanos to be negative if the duration is negative.
if seconds < 0 and nanos > 0:
seconds += 1
nanos -= _NANOS_PER_SECOND
self.seconds = seconds
self.nanos = nanos
def _CheckDurationValid(seconds, nanos):
if seconds < -_DURATION_SECONDS_MAX or seconds > _DURATION_SECONDS_MAX:
raise ValueError(
'Duration is not valid: Seconds {0} must be in range '
'[-315576000000, 315576000000].'.format(seconds))
if nanos <= -_NANOS_PER_SECOND or nanos >= _NANOS_PER_SECOND:
raise ValueError(
'Duration is not valid: Nanos {0} must be in range '
'[-999999999, 999999999].'.format(nanos))
if (nanos < 0 and seconds > 0) or (nanos > 0 and seconds < 0):
raise ValueError(
'Duration is not valid: Sign mismatch.')
def _RoundTowardZero(value, divider):
"""Truncates the remainder part after division."""
# For some languages, the sign of the remainder is implementation
# dependent if any of the operands is negative. Here we enforce
# "rounded toward zero" semantics. For example, for (-5) / 2 an
# implementation may give -3 as the result with the remainder being
# 1. This function ensures we always return -2 (closer to zero).
result = value // divider
remainder = value % divider
if result < 0 and remainder > 0:
return result + 1
else:
return result
class FieldMask(object):
"""Class for FieldMask message type."""
__slots__ = ()
def ToJsonString(self):
"""Converts FieldMask to string according to proto3 JSON spec."""
camelcase_paths = []
for path in self.paths:
camelcase_paths.append(_SnakeCaseToCamelCase(path))
return ','.join(camelcase_paths)
def FromJsonString(self, value):
"""Converts string to FieldMask according to proto3 JSON spec."""
if not isinstance(value, str):
raise ValueError('FieldMask JSON value not a string: {!r}'.format(value))
self.Clear()
if value:
for path in value.split(','):
self.paths.append(_CamelCaseToSnakeCase(path))
def IsValidForDescriptor(self, message_descriptor):
"""Checks whether the FieldMask is valid for Message Descriptor."""
for path in self.paths:
if not _IsValidPath(message_descriptor, path):
return False
return True
def AllFieldsFromDescriptor(self, message_descriptor):
"""Gets all direct fields of Message Descriptor to FieldMask."""
self.Clear()
for field in message_descriptor.fields:
self.paths.append(field.name)
def CanonicalFormFromMask(self, mask):
"""Converts a FieldMask to the canonical form.
Removes paths that are covered by another path. For example,
"foo.bar" is covered by "foo" and will be removed if "foo"
is also in the FieldMask. Then sorts all paths in alphabetical order.
Args:
mask: The original FieldMask to be converted.
"""
tree = _FieldMaskTree(mask)
tree.ToFieldMask(self)
def Union(self, mask1, mask2):
"""Merges mask1 and mask2 into this FieldMask."""
_CheckFieldMaskMessage(mask1)
_CheckFieldMaskMessage(mask2)
tree = _FieldMaskTree(mask1)
tree.MergeFromFieldMask(mask2)
tree.ToFieldMask(self)
def Intersect(self, mask1, mask2):
"""Intersects mask1 and mask2 into this FieldMask."""
_CheckFieldMaskMessage(mask1)
_CheckFieldMaskMessage(mask2)
tree = _FieldMaskTree(mask1)
intersection = _FieldMaskTree()
for path in mask2.paths:
tree.IntersectPath(path, intersection)
intersection.ToFieldMask(self)
def MergeMessage(
self, source, destination,
replace_message_field=False, replace_repeated_field=False):
"""Merges fields specified in FieldMask from source to destination.
Args:
source: Source message.
destination: The destination message to be merged into.
replace_message_field: Replace message field if True. Merge message
field if False.
replace_repeated_field: Replace repeated field if True. Append
elements of repeated field if False.
"""
tree = _FieldMaskTree(self)
tree.MergeMessage(
source, destination, replace_message_field, replace_repeated_field)
def _IsValidPath(message_descriptor, path):
"""Checks whether the path is valid for Message Descriptor."""
parts = path.split('.')
last = parts.pop()
for name in parts:
field = message_descriptor.fields_by_name.get(name)
if (field is None or
field.label == FieldDescriptor.LABEL_REPEATED or
field.type != FieldDescriptor.TYPE_MESSAGE):
return False
message_descriptor = field.message_type
return last in message_descriptor.fields_by_name
def _CheckFieldMaskMessage(message):
"""Raises ValueError if message is not a FieldMask."""
message_descriptor = message.DESCRIPTOR
if (message_descriptor.name != 'FieldMask' or
message_descriptor.file.name != 'google/protobuf/field_mask.proto'):
raise ValueError('Message {0} is not a FieldMask.'.format(
message_descriptor.full_name))
def _SnakeCaseToCamelCase(path_name):
"""Converts a path name from snake_case to camelCase."""
result = []
after_underscore = False
for c in path_name:
if c.isupper():
raise ValueError(
'Fail to print FieldMask to Json string: Path name '
'{0} must not contain uppercase letters.'.format(path_name))
if after_underscore:
if c.islower():
result.append(c.upper())
after_underscore = False
else:
raise ValueError(
'Fail to print FieldMask to Json string: The '
'character after a "_" must be a lowercase letter '
'in path name {0}.'.format(path_name))
elif c == '_':
after_underscore = True
else:
result += c
if after_underscore:
raise ValueError('Fail to print FieldMask to Json string: Trailing "_" '
'in path name {0}.'.format(path_name))
return ''.join(result)
def _CamelCaseToSnakeCase(path_name):
"""Converts a field name from camelCase to snake_case."""
result = []
for c in path_name:
if c == '_':
raise ValueError('Fail to parse FieldMask: Path name '
'{0} must not contain "_"s.'.format(path_name))
if c.isupper():
result += '_'
result += c.lower()
else:
result += c
return ''.join(result)
class _FieldMaskTree(object):
"""Represents a FieldMask in a tree structure.
For example, given a FieldMask "foo.bar,foo.baz,bar.baz",
the FieldMaskTree will be:
[_root] -+- foo -+- bar
| |
| +- baz
|
+- bar --- baz
In the tree, each leaf node represents a field path.
"""
__slots__ = ('_root',)
def __init__(self, field_mask=None):
"""Initializes the tree by FieldMask."""
self._root = {}
if field_mask:
self.MergeFromFieldMask(field_mask)
def MergeFromFieldMask(self, field_mask):
"""Merges a FieldMask to the tree."""
for path in field_mask.paths:
self.AddPath(path)
def AddPath(self, path):
"""Adds a field path into the tree.
If the field path to add is a sub-path of an existing field path
in the tree (i.e., a leaf node), it means the tree already matches
the given path so nothing will be added to the tree. If the path
matches an existing non-leaf node in the tree, that non-leaf node
will be turned into a leaf node with all its children removed because
the path matches all the node's children. Otherwise, a new path will
be added.
Args:
path: The field path to add.
"""
node = self._root
for name in path.split('.'):
if name not in node:
node[name] = {}
elif not node[name]:
# Pre-existing empty node implies we already have this entire tree.
return
node = node[name]
# Remove any sub-trees we might have had.
node.clear()
def ToFieldMask(self, field_mask):
"""Converts the tree to a FieldMask."""
field_mask.Clear()
_AddFieldPaths(self._root, '', field_mask)
def IntersectPath(self, path, intersection):
"""Calculates the intersection part of a field path with this tree.
Args:
path: The field path to calculates.
intersection: The out tree to record the intersection part.
"""
node = self._root
for name in path.split('.'):
if name not in node:
return
elif not node[name]:
intersection.AddPath(path)
return
node = node[name]
intersection.AddLeafNodes(path, node)
def AddLeafNodes(self, prefix, node):
"""Adds leaf nodes begin with prefix to this tree."""
if not node:
self.AddPath(prefix)
for name in node:
child_path = prefix + '.' + name
self.AddLeafNodes(child_path, node[name])
def MergeMessage(
self, source, destination,
replace_message, replace_repeated):
"""Merge all fields specified by this tree from source to destination."""
_MergeMessage(
self._root, source, destination, replace_message, replace_repeated)
def _StrConvert(value):
"""Converts value to str if it is not."""
# This file is imported by c extension and some methods like ClearField
# requires string for the field name. py2/py3 has different text
# type and may use unicode.
if not isinstance(value, str):
return value.encode('utf-8')
return value
def _MergeMessage(
node, source, destination, replace_message, replace_repeated):
"""Merge all fields specified by a sub-tree from source to destination."""
source_descriptor = source.DESCRIPTOR
for name in node:
child = node[name]
field = source_descriptor.fields_by_name[name]
if field is None:
raise ValueError('Error: Can\'t find field {0} in message {1}.'.format(
name, source_descriptor.full_name))
if child:
# Sub-paths are only allowed for singular message fields.
if (field.label == FieldDescriptor.LABEL_REPEATED or
field.cpp_type != FieldDescriptor.CPPTYPE_MESSAGE):
raise ValueError('Error: Field {0} in message {1} is not a singular '
'message field and cannot have sub-fields.'.format(
name, source_descriptor.full_name))
if source.HasField(name):
_MergeMessage(
child, getattr(source, name), getattr(destination, name),
replace_message, replace_repeated)
continue
if field.label == FieldDescriptor.LABEL_REPEATED:
if replace_repeated:
destination.ClearField(_StrConvert(name))
repeated_source = getattr(source, name)
repeated_destination = getattr(destination, name)
repeated_destination.MergeFrom(repeated_source)
else:
if field.cpp_type == FieldDescriptor.CPPTYPE_MESSAGE:
if replace_message:
destination.ClearField(_StrConvert(name))
if source.HasField(name):
getattr(destination, name).MergeFrom(getattr(source, name))
else:
setattr(destination, name, getattr(source, name))
def _AddFieldPaths(node, prefix, field_mask):
"""Adds the field paths descended from node to field_mask."""
if not node and prefix:
field_mask.paths.append(prefix)
return
for name in sorted(node):
if prefix:
child_path = prefix + '.' + name
else:
child_path = name
_AddFieldPaths(node[name], child_path, field_mask)
def _SetStructValue(struct_value, value):
if value is None:
struct_value.null_value = 0
elif isinstance(value, bool):
# Note: this check must come before the number check because in Python
# True and False are also considered numbers.
struct_value.bool_value = value
elif isinstance(value, str):
struct_value.string_value = value
elif isinstance(value, (int, float)):
struct_value.number_value = value
elif isinstance(value, (dict, Struct)):
struct_value.struct_value.Clear()
struct_value.struct_value.update(value)
elif isinstance(value, (list, ListValue)):
struct_value.list_value.Clear()
struct_value.list_value.extend(value)
else:
raise ValueError('Unexpected type')
def _GetStructValue(struct_value):
which = struct_value.WhichOneof('kind')
if which == 'struct_value':
return struct_value.struct_value
elif which == 'null_value':
return None
elif which == 'number_value':
return struct_value.number_value
elif which == 'string_value':
return struct_value.string_value
elif which == 'bool_value':
return struct_value.bool_value
elif which == 'list_value':
return struct_value.list_value
elif which is None:
raise ValueError('Value not set')
class Struct(object):
"""Class for Struct message type."""
__slots__ = ()
def __getitem__(self, key):
return _GetStructValue(self.fields[key])
def __contains__(self, item):
return item in self.fields
def __setitem__(self, key, value):
_SetStructValue(self.fields[key], value)
def __delitem__(self, key):
del self.fields[key]
def __len__(self):
return len(self.fields)
def __iter__(self):
return iter(self.fields)
def keys(self): # pylint: disable=invalid-name
return self.fields.keys()
def values(self): # pylint: disable=invalid-name
return [self[key] for key in self]
def items(self): # pylint: disable=invalid-name
return [(key, self[key]) for key in self]
def get_or_create_list(self, key):
"""Returns a list for this key, creating if it didn't exist already."""
if not self.fields[key].HasField('list_value'):
# Clear will mark list_value modified which will indeed create a list.
self.fields[key].list_value.Clear()
return self.fields[key].list_value
def get_or_create_struct(self, key):
"""Returns a struct for this key, creating if it didn't exist already."""
if not self.fields[key].HasField('struct_value'):
# Clear will mark struct_value modified which will indeed create a struct.
self.fields[key].struct_value.Clear()
return self.fields[key].struct_value
def update(self, dictionary): # pylint: disable=invalid-name
for key, value in dictionary.items():
_SetStructValue(self.fields[key], value)
collections.abc.MutableMapping.register(Struct)
class ListValue(object):
"""Class for ListValue message type."""
__slots__ = ()
def __len__(self):
return len(self.values)
def append(self, value):
_SetStructValue(self.values.add(), value)
def extend(self, elem_seq):
for value in elem_seq:
self.append(value)
def __getitem__(self, index):
"""Retrieves item by the specified index."""
return _GetStructValue(self.values.__getitem__(index))
def __setitem__(self, index, value):
_SetStructValue(self.values.__getitem__(index), value)
def __delitem__(self, key):
del self.values[key]
def items(self):
for i in range(len(self)):
yield self[i]
def add_struct(self):
"""Appends and returns a struct value as the next value in the list."""
struct_value = self.values.add().struct_value
# Clear will mark struct_value modified which will indeed create a struct.
struct_value.Clear()
return struct_value
def add_list(self):
"""Appends and returns a list value as the next value in the list."""
list_value = self.values.add().list_value
# Clear will mark list_value modified which will indeed create a list.
list_value.Clear()
return list_value
collections.abc.MutableSequence.register(ListValue)
WKTBASES = {
'google.protobuf.Any': Any,
'google.protobuf.Duration': Duration,
'google.protobuf.FieldMask': FieldMask,
'google.protobuf.ListValue': ListValue,
'google.protobuf.Struct': Struct,
'google.protobuf.Timestamp': Timestamp,
}

268
resources/lib/deps/librespot/proto/google/protobuf/internal/wire_format.py
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@ -1,268 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Constants and static functions to support protocol buffer wire format."""
__author__ = 'robinson@google.com (Will Robinson)'
import struct
from google.protobuf import descriptor
from google.protobuf import message
TAG_TYPE_BITS = 3 # Number of bits used to hold type info in a proto tag.
TAG_TYPE_MASK = (1 << TAG_TYPE_BITS) - 1 # 0x7
# These numbers identify the wire type of a protocol buffer value.
# We use the least-significant TAG_TYPE_BITS bits of the varint-encoded
# tag-and-type to store one of these WIRETYPE_* constants.
# These values must match WireType enum in google/protobuf/wire_format.h.
WIRETYPE_VARINT = 0
WIRETYPE_FIXED64 = 1
WIRETYPE_LENGTH_DELIMITED = 2
WIRETYPE_START_GROUP = 3
WIRETYPE_END_GROUP = 4
WIRETYPE_FIXED32 = 5
_WIRETYPE_MAX = 5
# Bounds for various integer types.
INT32_MAX = int((1 << 31) - 1)
INT32_MIN = int(-(1 << 31))
UINT32_MAX = (1 << 32) - 1
INT64_MAX = (1 << 63) - 1
INT64_MIN = -(1 << 63)
UINT64_MAX = (1 << 64) - 1
# "struct" format strings that will encode/decode the specified formats.
FORMAT_UINT32_LITTLE_ENDIAN = '<I'
FORMAT_UINT64_LITTLE_ENDIAN = '<Q'
FORMAT_FLOAT_LITTLE_ENDIAN = '<f'
FORMAT_DOUBLE_LITTLE_ENDIAN = '<d'
# We'll have to provide alternate implementations of AppendLittleEndian*() on
# any architectures where these checks fail.
if struct.calcsize(FORMAT_UINT32_LITTLE_ENDIAN) != 4:
raise AssertionError('Format "I" is not a 32-bit number.')
if struct.calcsize(FORMAT_UINT64_LITTLE_ENDIAN) != 8:
raise AssertionError('Format "Q" is not a 64-bit number.')
def PackTag(field_number, wire_type):
"""Returns an unsigned 32-bit integer that encodes the field number and
wire type information in standard protocol message wire format.
Args:
field_number: Expected to be an integer in the range [1, 1 << 29)
wire_type: One of the WIRETYPE_* constants.
"""
if not 0 <= wire_type <= _WIRETYPE_MAX:
raise message.EncodeError('Unknown wire type: %d' % wire_type)
return (field_number << TAG_TYPE_BITS) | wire_type
def UnpackTag(tag):
"""The inverse of PackTag(). Given an unsigned 32-bit number,
returns a (field_number, wire_type) tuple.
"""
return (tag >> TAG_TYPE_BITS), (tag & TAG_TYPE_MASK)
def ZigZagEncode(value):
"""ZigZag Transform: Encodes signed integers so that they can be
effectively used with varint encoding. See wire_format.h for
more details.
"""
if value >= 0:
return value << 1
return (value << 1) ^ (~0)
def ZigZagDecode(value):
"""Inverse of ZigZagEncode()."""
if not value & 0x1:
return value >> 1
return (value >> 1) ^ (~0)
# The *ByteSize() functions below return the number of bytes required to
# serialize "field number + type" information and then serialize the value.
def Int32ByteSize(field_number, int32):
return Int64ByteSize(field_number, int32)
def Int32ByteSizeNoTag(int32):
return _VarUInt64ByteSizeNoTag(0xffffffffffffffff & int32)
def Int64ByteSize(field_number, int64):
# Have to convert to uint before calling UInt64ByteSize().
return UInt64ByteSize(field_number, 0xffffffffffffffff & int64)
def UInt32ByteSize(field_number, uint32):
return UInt64ByteSize(field_number, uint32)
def UInt64ByteSize(field_number, uint64):
return TagByteSize(field_number) + _VarUInt64ByteSizeNoTag(uint64)
def SInt32ByteSize(field_number, int32):
return UInt32ByteSize(field_number, ZigZagEncode(int32))
def SInt64ByteSize(field_number, int64):
return UInt64ByteSize(field_number, ZigZagEncode(int64))
def Fixed32ByteSize(field_number, fixed32):
return TagByteSize(field_number) + 4
def Fixed64ByteSize(field_number, fixed64):
return TagByteSize(field_number) + 8
def SFixed32ByteSize(field_number, sfixed32):
return TagByteSize(field_number) + 4
def SFixed64ByteSize(field_number, sfixed64):
return TagByteSize(field_number) + 8
def FloatByteSize(field_number, flt):
return TagByteSize(field_number) + 4
def DoubleByteSize(field_number, double):
return TagByteSize(field_number) + 8
def BoolByteSize(field_number, b):
return TagByteSize(field_number) + 1
def EnumByteSize(field_number, enum):
return UInt32ByteSize(field_number, enum)
def StringByteSize(field_number, string):
return BytesByteSize(field_number, string.encode('utf-8'))
def BytesByteSize(field_number, b):
return (TagByteSize(field_number)
+ _VarUInt64ByteSizeNoTag(len(b))
+ len(b))
def GroupByteSize(field_number, message):
return (2 * TagByteSize(field_number) # START and END group.
+ message.ByteSize())
def MessageByteSize(field_number, message):
return (TagByteSize(field_number)
+ _VarUInt64ByteSizeNoTag(message.ByteSize())
+ message.ByteSize())
def MessageSetItemByteSize(field_number, msg):
# First compute the sizes of the tags.
# There are 2 tags for the beginning and ending of the repeated group, that
# is field number 1, one with field number 2 (type_id) and one with field
# number 3 (message).
total_size = (2 * TagByteSize(1) + TagByteSize(2) + TagByteSize(3))
# Add the number of bytes for type_id.
total_size += _VarUInt64ByteSizeNoTag(field_number)
message_size = msg.ByteSize()
# The number of bytes for encoding the length of the message.
total_size += _VarUInt64ByteSizeNoTag(message_size)
# The size of the message.
total_size += message_size
return total_size
def TagByteSize(field_number):
"""Returns the bytes required to serialize a tag with this field number."""
# Just pass in type 0, since the type won't affect the tag+type size.
return _VarUInt64ByteSizeNoTag(PackTag(field_number, 0))
# Private helper function for the *ByteSize() functions above.
def _VarUInt64ByteSizeNoTag(uint64):
"""Returns the number of bytes required to serialize a single varint
using boundary value comparisons. (unrolled loop optimization -WPierce)
uint64 must be unsigned.
"""
if uint64 <= 0x7f: return 1
if uint64 <= 0x3fff: return 2
if uint64 <= 0x1fffff: return 3
if uint64 <= 0xfffffff: return 4
if uint64 <= 0x7ffffffff: return 5
if uint64 <= 0x3ffffffffff: return 6
if uint64 <= 0x1ffffffffffff: return 7
if uint64 <= 0xffffffffffffff: return 8
if uint64 <= 0x7fffffffffffffff: return 9
if uint64 > UINT64_MAX:
raise message.EncodeError('Value out of range: %d' % uint64)
return 10
NON_PACKABLE_TYPES = (
descriptor.FieldDescriptor.TYPE_STRING,
descriptor.FieldDescriptor.TYPE_GROUP,
descriptor.FieldDescriptor.TYPE_MESSAGE,
descriptor.FieldDescriptor.TYPE_BYTES
)
def IsTypePackable(field_type):
"""Return true iff packable = true is valid for fields of this type.
Args:
field_type: a FieldDescriptor::Type value.
Returns:
True iff fields of this type are packable.
"""
return field_type not in NON_PACKABLE_TYPES

912
resources/lib/deps/librespot/proto/google/protobuf/json_format.py
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@ -1,912 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Contains routines for printing protocol messages in JSON format.
Simple usage example:
# Create a proto object and serialize it to a json format string.
message = my_proto_pb2.MyMessage(foo='bar')
json_string = json_format.MessageToJson(message)
# Parse a json format string to proto object.
message = json_format.Parse(json_string, my_proto_pb2.MyMessage())
"""
__author__ = 'jieluo@google.com (Jie Luo)'
import base64
from collections import OrderedDict
import json
import math
from operator import methodcaller
import re
import sys
from google.protobuf.internal import type_checkers
from google.protobuf import descriptor
from google.protobuf import symbol_database
_TIMESTAMPFOMAT = '%Y-%m-%dT%H:%M:%S'
_INT_TYPES = frozenset([descriptor.FieldDescriptor.CPPTYPE_INT32,
descriptor.FieldDescriptor.CPPTYPE_UINT32,
descriptor.FieldDescriptor.CPPTYPE_INT64,
descriptor.FieldDescriptor.CPPTYPE_UINT64])
_INT64_TYPES = frozenset([descriptor.FieldDescriptor.CPPTYPE_INT64,
descriptor.FieldDescriptor.CPPTYPE_UINT64])
_FLOAT_TYPES = frozenset([descriptor.FieldDescriptor.CPPTYPE_FLOAT,
descriptor.FieldDescriptor.CPPTYPE_DOUBLE])
_INFINITY = 'Infinity'
_NEG_INFINITY = '-Infinity'
_NAN = 'NaN'
_UNPAIRED_SURROGATE_PATTERN = re.compile(
u'[\ud800-\udbff](?![\udc00-\udfff])|(?<![\ud800-\udbff])[\udc00-\udfff]')
_VALID_EXTENSION_NAME = re.compile(r'\[[a-zA-Z0-9\._]*\]$')
class Error(Exception):
"""Top-level module error for json_format."""
class SerializeToJsonError(Error):
"""Thrown if serialization to JSON fails."""
class ParseError(Error):
"""Thrown in case of parsing error."""
def MessageToJson(
message,
including_default_value_fields=False,
preserving_proto_field_name=False,
indent=2,
sort_keys=False,
use_integers_for_enums=False,
descriptor_pool=None,
float_precision=None,
ensure_ascii=True):
"""Converts protobuf message to JSON format.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitive fields,
repeated fields, and map fields will always be serialized. If
False, only serialize non-empty fields. Singular message fields
and oneof fields are not affected by this option.
preserving_proto_field_name: If True, use the original proto field
names as defined in the .proto file. If False, convert the field
names to lowerCamelCase.
indent: The JSON object will be pretty-printed with this indent level.
An indent level of 0 or negative will only insert newlines.
sort_keys: If True, then the output will be sorted by field names.
use_integers_for_enums: If true, print integers instead of enum names.
descriptor_pool: A Descriptor Pool for resolving types. If None use the
default.
float_precision: If set, use this to specify float field valid digits.
ensure_ascii: If True, strings with non-ASCII characters are escaped.
If False, Unicode strings are returned unchanged.
Returns:
A string containing the JSON formatted protocol buffer message.
"""
printer = _Printer(
including_default_value_fields,
preserving_proto_field_name,
use_integers_for_enums,
descriptor_pool,
float_precision=float_precision)
return printer.ToJsonString(message, indent, sort_keys, ensure_ascii)
def MessageToDict(
message,
including_default_value_fields=False,
preserving_proto_field_name=False,
use_integers_for_enums=False,
descriptor_pool=None,
float_precision=None):
"""Converts protobuf message to a dictionary.
When the dictionary is encoded to JSON, it conforms to proto3 JSON spec.
Args:
message: The protocol buffers message instance to serialize.
including_default_value_fields: If True, singular primitive fields,
repeated fields, and map fields will always be serialized. If
False, only serialize non-empty fields. Singular message fields
and oneof fields are not affected by this option.
preserving_proto_field_name: If True, use the original proto field
names as defined in the .proto file. If False, convert the field
names to lowerCamelCase.
use_integers_for_enums: If true, print integers instead of enum names.
descriptor_pool: A Descriptor Pool for resolving types. If None use the
default.
float_precision: If set, use this to specify float field valid digits.
Returns:
A dict representation of the protocol buffer message.
"""
printer = _Printer(
including_default_value_fields,
preserving_proto_field_name,
use_integers_for_enums,
descriptor_pool,
float_precision=float_precision)
# pylint: disable=protected-access
return printer._MessageToJsonObject(message)
def _IsMapEntry(field):
return (field.type == descriptor.FieldDescriptor.TYPE_MESSAGE and
field.message_type.has_options and
field.message_type.GetOptions().map_entry)
class _Printer(object):
"""JSON format printer for protocol message."""
def __init__(
self,
including_default_value_fields=False,
preserving_proto_field_name=False,
use_integers_for_enums=False,
descriptor_pool=None,
float_precision=None):
self.including_default_value_fields = including_default_value_fields
self.preserving_proto_field_name = preserving_proto_field_name
self.use_integers_for_enums = use_integers_for_enums
self.descriptor_pool = descriptor_pool
if float_precision:
self.float_format = '.{}g'.format(float_precision)
else:
self.float_format = None
def ToJsonString(self, message, indent, sort_keys, ensure_ascii):
js = self._MessageToJsonObject(message)
return json.dumps(
js, indent=indent, sort_keys=sort_keys, ensure_ascii=ensure_ascii)
def _MessageToJsonObject(self, message):
"""Converts message to an object according to Proto3 JSON Specification."""
message_descriptor = message.DESCRIPTOR
full_name = message_descriptor.full_name
if _IsWrapperMessage(message_descriptor):
return self._WrapperMessageToJsonObject(message)
if full_name in _WKTJSONMETHODS:
return methodcaller(_WKTJSONMETHODS[full_name][0], message)(self)
js = {}
return self._RegularMessageToJsonObject(message, js)
def _RegularMessageToJsonObject(self, message, js):
"""Converts normal message according to Proto3 JSON Specification."""
fields = message.ListFields()
try:
for field, value in fields:
if self.preserving_proto_field_name:
name = field.name
else:
name = field.json_name
if _IsMapEntry(field):
# Convert a map field.
v_field = field.message_type.fields_by_name['value']
js_map = {}
for key in value:
if isinstance(key, bool):
if key:
recorded_key = 'true'
else:
recorded_key = 'false'
else:
recorded_key = str(key)
js_map[recorded_key] = self._FieldToJsonObject(
v_field, value[key])
js[name] = js_map
elif field.label == descriptor.FieldDescriptor.LABEL_REPEATED:
# Convert a repeated field.
js[name] = [self._FieldToJsonObject(field, k)
for k in value]
elif field.is_extension:
name = '[%s]' % field.full_name
js[name] = self._FieldToJsonObject(field, value)
else:
js[name] = self._FieldToJsonObject(field, value)
# Serialize default value if including_default_value_fields is True.
if self.including_default_value_fields:
message_descriptor = message.DESCRIPTOR
for field in message_descriptor.fields:
# Singular message fields and oneof fields will not be affected.
if ((field.label != descriptor.FieldDescriptor.LABEL_REPEATED and
field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE) or
field.containing_oneof):
continue
if self.preserving_proto_field_name:
name = field.name
else:
name = field.json_name
if name in js:
# Skip the field which has been serialized already.
continue
if _IsMapEntry(field):
js[name] = {}
elif field.label == descriptor.FieldDescriptor.LABEL_REPEATED:
js[name] = []
else:
js[name] = self._FieldToJsonObject(field, field.default_value)
except ValueError as e:
raise SerializeToJsonError(
'Failed to serialize {0} field: {1}.'.format(field.name, e))
return js
def _FieldToJsonObject(self, field, value):
"""Converts field value according to Proto3 JSON Specification."""
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
return self._MessageToJsonObject(value)
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_ENUM:
if self.use_integers_for_enums:
return value
if field.enum_type.full_name == 'google.protobuf.NullValue':
return None
enum_value = field.enum_type.values_by_number.get(value, None)
if enum_value is not None:
return enum_value.name
else:
if field.file.syntax == 'proto3':
return value
raise SerializeToJsonError('Enum field contains an integer value '
'which can not mapped to an enum value.')
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_STRING:
if field.type == descriptor.FieldDescriptor.TYPE_BYTES:
# Use base64 Data encoding for bytes
return base64.b64encode(value).decode('utf-8')
else:
return value
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_BOOL:
return bool(value)
elif field.cpp_type in _INT64_TYPES:
return str(value)
elif field.cpp_type in _FLOAT_TYPES:
if math.isinf(value):
if value < 0.0:
return _NEG_INFINITY
else:
return _INFINITY
if math.isnan(value):
return _NAN
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_FLOAT:
if self.float_format:
return float(format(value, self.float_format))
else:
return type_checkers.ToShortestFloat(value)
return value
def _AnyMessageToJsonObject(self, message):
"""Converts Any message according to Proto3 JSON Specification."""
if not message.ListFields():
return {}
# Must print @type first, use OrderedDict instead of {}
js = OrderedDict()
type_url = message.type_url
js['@type'] = type_url
sub_message = _CreateMessageFromTypeUrl(type_url, self.descriptor_pool)
sub_message.ParseFromString(message.value)
message_descriptor = sub_message.DESCRIPTOR
full_name = message_descriptor.full_name
if _IsWrapperMessage(message_descriptor):
js['value'] = self._WrapperMessageToJsonObject(sub_message)
return js
if full_name in _WKTJSONMETHODS:
js['value'] = methodcaller(_WKTJSONMETHODS[full_name][0],
sub_message)(self)
return js
return self._RegularMessageToJsonObject(sub_message, js)
def _GenericMessageToJsonObject(self, message):
"""Converts message according to Proto3 JSON Specification."""
# Duration, Timestamp and FieldMask have ToJsonString method to do the
# convert. Users can also call the method directly.
return message.ToJsonString()
def _ValueMessageToJsonObject(self, message):
"""Converts Value message according to Proto3 JSON Specification."""
which = message.WhichOneof('kind')
# If the Value message is not set treat as null_value when serialize
# to JSON. The parse back result will be different from original message.
if which is None or which == 'null_value':
return None
if which == 'list_value':
return self._ListValueMessageToJsonObject(message.list_value)
if which == 'struct_value':
value = message.struct_value
else:
value = getattr(message, which)
oneof_descriptor = message.DESCRIPTOR.fields_by_name[which]
return self._FieldToJsonObject(oneof_descriptor, value)
def _ListValueMessageToJsonObject(self, message):
"""Converts ListValue message according to Proto3 JSON Specification."""
return [self._ValueMessageToJsonObject(value)
for value in message.values]
def _StructMessageToJsonObject(self, message):
"""Converts Struct message according to Proto3 JSON Specification."""
fields = message.fields
ret = {}
for key in fields:
ret[key] = self._ValueMessageToJsonObject(fields[key])
return ret
def _WrapperMessageToJsonObject(self, message):
return self._FieldToJsonObject(
message.DESCRIPTOR.fields_by_name['value'], message.value)
def _IsWrapperMessage(message_descriptor):
return message_descriptor.file.name == 'google/protobuf/wrappers.proto'
def _DuplicateChecker(js):
result = {}
for name, value in js:
if name in result:
raise ParseError('Failed to load JSON: duplicate key {0}.'.format(name))
result[name] = value
return result
def _CreateMessageFromTypeUrl(type_url, descriptor_pool):
"""Creates a message from a type URL."""
db = symbol_database.Default()
pool = db.pool if descriptor_pool is None else descriptor_pool
type_name = type_url.split('/')[-1]
try:
message_descriptor = pool.FindMessageTypeByName(type_name)
except KeyError:
raise TypeError(
'Can not find message descriptor by type_url: {0}'.format(type_url))
message_class = db.GetPrototype(message_descriptor)
return message_class()
def Parse(text,
message,
ignore_unknown_fields=False,
descriptor_pool=None,
max_recursion_depth=100):
"""Parses a JSON representation of a protocol message into a message.
Args:
text: Message JSON representation.
message: A protocol buffer message to merge into.
ignore_unknown_fields: If True, do not raise errors for unknown fields.
descriptor_pool: A Descriptor Pool for resolving types. If None use the
default.
max_recursion_depth: max recursion depth of JSON message to be
deserialized. JSON messages over this depth will fail to be
deserialized. Default value is 100.
Returns:
The same message passed as argument.
Raises::
ParseError: On JSON parsing problems.
"""
if not isinstance(text, str):
text = text.decode('utf-8')
try:
js = json.loads(text, object_pairs_hook=_DuplicateChecker)
except ValueError as e:
raise ParseError('Failed to load JSON: {0}.'.format(str(e)))
return ParseDict(js, message, ignore_unknown_fields, descriptor_pool,
max_recursion_depth)
def ParseDict(js_dict,
message,
ignore_unknown_fields=False,
descriptor_pool=None,
max_recursion_depth=100):
"""Parses a JSON dictionary representation into a message.
Args:
js_dict: Dict representation of a JSON message.
message: A protocol buffer message to merge into.
ignore_unknown_fields: If True, do not raise errors for unknown fields.
descriptor_pool: A Descriptor Pool for resolving types. If None use the
default.
max_recursion_depth: max recursion depth of JSON message to be
deserialized. JSON messages over this depth will fail to be
deserialized. Default value is 100.
Returns:
The same message passed as argument.
"""
parser = _Parser(ignore_unknown_fields, descriptor_pool, max_recursion_depth)
parser.ConvertMessage(js_dict, message, '')
return message
_INT_OR_FLOAT = (int, float)
class _Parser(object):
"""JSON format parser for protocol message."""
def __init__(self, ignore_unknown_fields, descriptor_pool,
max_recursion_depth):
self.ignore_unknown_fields = ignore_unknown_fields
self.descriptor_pool = descriptor_pool
self.max_recursion_depth = max_recursion_depth
self.recursion_depth = 0
def ConvertMessage(self, value, message, path):
"""Convert a JSON object into a message.
Args:
value: A JSON object.
message: A WKT or regular protocol message to record the data.
path: parent path to log parse error info.
Raises:
ParseError: In case of convert problems.
"""
self.recursion_depth += 1
if self.recursion_depth > self.max_recursion_depth:
raise ParseError('Message too deep. Max recursion depth is {0}'.format(
self.max_recursion_depth))
message_descriptor = message.DESCRIPTOR
full_name = message_descriptor.full_name
if not path:
path = message_descriptor.name
if _IsWrapperMessage(message_descriptor):
self._ConvertWrapperMessage(value, message, path)
elif full_name in _WKTJSONMETHODS:
methodcaller(_WKTJSONMETHODS[full_name][1], value, message, path)(self)
else:
self._ConvertFieldValuePair(value, message, path)
self.recursion_depth -= 1
def _ConvertFieldValuePair(self, js, message, path):
"""Convert field value pairs into regular message.
Args:
js: A JSON object to convert the field value pairs.
message: A regular protocol message to record the data.
path: parent path to log parse error info.
Raises:
ParseError: In case of problems converting.
"""
names = []
message_descriptor = message.DESCRIPTOR
fields_by_json_name = dict((f.json_name, f)
for f in message_descriptor.fields)
for name in js:
try:
field = fields_by_json_name.get(name, None)
if not field:
field = message_descriptor.fields_by_name.get(name, None)
if not field and _VALID_EXTENSION_NAME.match(name):
if not message_descriptor.is_extendable:
raise ParseError(
'Message type {0} does not have extensions at {1}'.format(
message_descriptor.full_name, path))
identifier = name[1:-1] # strip [] brackets
# pylint: disable=protected-access
field = message.Extensions._FindExtensionByName(identifier)
# pylint: enable=protected-access
if not field:
# Try looking for extension by the message type name, dropping the
# field name following the final . separator in full_name.
identifier = '.'.join(identifier.split('.')[:-1])
# pylint: disable=protected-access
field = message.Extensions._FindExtensionByName(identifier)
# pylint: enable=protected-access
if not field:
if self.ignore_unknown_fields:
continue
raise ParseError(
('Message type "{0}" has no field named "{1}" at "{2}".\n'
' Available Fields(except extensions): "{3}"').format(
message_descriptor.full_name, name, path,
[f.json_name for f in message_descriptor.fields]))
if name in names:
raise ParseError('Message type "{0}" should not have multiple '
'"{1}" fields at "{2}".'.format(
message.DESCRIPTOR.full_name, name, path))
names.append(name)
value = js[name]
# Check no other oneof field is parsed.
if field.containing_oneof is not None and value is not None:
oneof_name = field.containing_oneof.name
if oneof_name in names:
raise ParseError('Message type "{0}" should not have multiple '
'"{1}" oneof fields at "{2}".'.format(
message.DESCRIPTOR.full_name, oneof_name,
path))
names.append(oneof_name)
if value is None:
if (field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE
and field.message_type.full_name == 'google.protobuf.Value'):
sub_message = getattr(message, field.name)
sub_message.null_value = 0
elif (field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_ENUM
and field.enum_type.full_name == 'google.protobuf.NullValue'):
setattr(message, field.name, 0)
else:
message.ClearField(field.name)
continue
# Parse field value.
if _IsMapEntry(field):
message.ClearField(field.name)
self._ConvertMapFieldValue(value, message, field,
'{0}.{1}'.format(path, name))
elif field.label == descriptor.FieldDescriptor.LABEL_REPEATED:
message.ClearField(field.name)
if not isinstance(value, list):
raise ParseError('repeated field {0} must be in [] which is '
'{1} at {2}'.format(name, value, path))
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
# Repeated message field.
for index, item in enumerate(value):
sub_message = getattr(message, field.name).add()
# None is a null_value in Value.
if (item is None and
sub_message.DESCRIPTOR.full_name != 'google.protobuf.Value'):
raise ParseError('null is not allowed to be used as an element'
' in a repeated field at {0}.{1}[{2}]'.format(
path, name, index))
self.ConvertMessage(item, sub_message,
'{0}.{1}[{2}]'.format(path, name, index))
else:
# Repeated scalar field.
for index, item in enumerate(value):
if item is None:
raise ParseError('null is not allowed to be used as an element'
' in a repeated field at {0}.{1}[{2}]'.format(
path, name, index))
getattr(message, field.name).append(
_ConvertScalarFieldValue(
item, field, '{0}.{1}[{2}]'.format(path, name, index)))
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
if field.is_extension:
sub_message = message.Extensions[field]
else:
sub_message = getattr(message, field.name)
sub_message.SetInParent()
self.ConvertMessage(value, sub_message, '{0}.{1}'.format(path, name))
else:
if field.is_extension:
message.Extensions[field] = _ConvertScalarFieldValue(
value, field, '{0}.{1}'.format(path, name))
else:
setattr(
message, field.name,
_ConvertScalarFieldValue(value, field,
'{0}.{1}'.format(path, name)))
except ParseError as e:
if field and field.containing_oneof is None:
raise ParseError('Failed to parse {0} field: {1}.'.format(name, e))
else:
raise ParseError(str(e))
except ValueError as e:
raise ParseError('Failed to parse {0} field: {1}.'.format(name, e))
except TypeError as e:
raise ParseError('Failed to parse {0} field: {1}.'.format(name, e))
def _ConvertAnyMessage(self, value, message, path):
"""Convert a JSON representation into Any message."""
if isinstance(value, dict) and not value:
return
try:
type_url = value['@type']
except KeyError:
raise ParseError(
'@type is missing when parsing any message at {0}'.format(path))
try:
sub_message = _CreateMessageFromTypeUrl(type_url, self.descriptor_pool)
except TypeError as e:
raise ParseError('{0} at {1}'.format(e, path))
message_descriptor = sub_message.DESCRIPTOR
full_name = message_descriptor.full_name
if _IsWrapperMessage(message_descriptor):
self._ConvertWrapperMessage(value['value'], sub_message,
'{0}.value'.format(path))
elif full_name in _WKTJSONMETHODS:
methodcaller(_WKTJSONMETHODS[full_name][1], value['value'], sub_message,
'{0}.value'.format(path))(
self)
else:
del value['@type']
self._ConvertFieldValuePair(value, sub_message, path)
value['@type'] = type_url
# Sets Any message
message.value = sub_message.SerializeToString()
message.type_url = type_url
def _ConvertGenericMessage(self, value, message, path):
"""Convert a JSON representation into message with FromJsonString."""
# Duration, Timestamp, FieldMask have a FromJsonString method to do the
# conversion. Users can also call the method directly.
try:
message.FromJsonString(value)
except ValueError as e:
raise ParseError('{0} at {1}'.format(e, path))
def _ConvertValueMessage(self, value, message, path):
"""Convert a JSON representation into Value message."""
if isinstance(value, dict):
self._ConvertStructMessage(value, message.struct_value, path)
elif isinstance(value, list):
self._ConvertListValueMessage(value, message.list_value, path)
elif value is None:
message.null_value = 0
elif isinstance(value, bool):
message.bool_value = value
elif isinstance(value, str):
message.string_value = value
elif isinstance(value, _INT_OR_FLOAT):
message.number_value = value
else:
raise ParseError('Value {0} has unexpected type {1} at {2}'.format(
value, type(value), path))
def _ConvertListValueMessage(self, value, message, path):
"""Convert a JSON representation into ListValue message."""
if not isinstance(value, list):
raise ParseError('ListValue must be in [] which is {0} at {1}'.format(
value, path))
message.ClearField('values')
for index, item in enumerate(value):
self._ConvertValueMessage(item, message.values.add(),
'{0}[{1}]'.format(path, index))
def _ConvertStructMessage(self, value, message, path):
"""Convert a JSON representation into Struct message."""
if not isinstance(value, dict):
raise ParseError('Struct must be in a dict which is {0} at {1}'.format(
value, path))
# Clear will mark the struct as modified so it will be created even if
# there are no values.
message.Clear()
for key in value:
self._ConvertValueMessage(value[key], message.fields[key],
'{0}.{1}'.format(path, key))
return
def _ConvertWrapperMessage(self, value, message, path):
"""Convert a JSON representation into Wrapper message."""
field = message.DESCRIPTOR.fields_by_name['value']
setattr(
message, 'value',
_ConvertScalarFieldValue(value, field, path='{0}.value'.format(path)))
def _ConvertMapFieldValue(self, value, message, field, path):
"""Convert map field value for a message map field.
Args:
value: A JSON object to convert the map field value.
message: A protocol message to record the converted data.
field: The descriptor of the map field to be converted.
path: parent path to log parse error info.
Raises:
ParseError: In case of convert problems.
"""
if not isinstance(value, dict):
raise ParseError(
'Map field {0} must be in a dict which is {1} at {2}'.format(
field.name, value, path))
key_field = field.message_type.fields_by_name['key']
value_field = field.message_type.fields_by_name['value']
for key in value:
key_value = _ConvertScalarFieldValue(key, key_field,
'{0}.key'.format(path), True)
if value_field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE:
self.ConvertMessage(value[key],
getattr(message, field.name)[key_value],
'{0}[{1}]'.format(path, key_value))
else:
getattr(message, field.name)[key_value] = _ConvertScalarFieldValue(
value[key], value_field, path='{0}[{1}]'.format(path, key_value))
def _ConvertScalarFieldValue(value, field, path, require_str=False):
"""Convert a single scalar field value.
Args:
value: A scalar value to convert the scalar field value.
field: The descriptor of the field to convert.
path: parent path to log parse error info.
require_str: If True, the field value must be a str.
Returns:
The converted scalar field value
Raises:
ParseError: In case of convert problems.
"""
try:
if field.cpp_type in _INT_TYPES:
return _ConvertInteger(value)
elif field.cpp_type in _FLOAT_TYPES:
return _ConvertFloat(value, field)
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_BOOL:
return _ConvertBool(value, require_str)
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_STRING:
if field.type == descriptor.FieldDescriptor.TYPE_BYTES:
if isinstance(value, str):
encoded = value.encode('utf-8')
else:
encoded = value
# Add extra padding '='
padded_value = encoded + b'=' * (4 - len(encoded) % 4)
return base64.urlsafe_b64decode(padded_value)
else:
# Checking for unpaired surrogates appears to be unreliable,
# depending on the specific Python version, so we check manually.
if _UNPAIRED_SURROGATE_PATTERN.search(value):
raise ParseError('Unpaired surrogate')
return value
elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_ENUM:
# Convert an enum value.
enum_value = field.enum_type.values_by_name.get(value, None)
if enum_value is None:
try:
number = int(value)
enum_value = field.enum_type.values_by_number.get(number, None)
except ValueError:
raise ParseError('Invalid enum value {0} for enum type {1}'.format(
value, field.enum_type.full_name))
if enum_value is None:
if field.file.syntax == 'proto3':
# Proto3 accepts unknown enums.
return number
raise ParseError('Invalid enum value {0} for enum type {1}'.format(
value, field.enum_type.full_name))
return enum_value.number
except ParseError as e:
raise ParseError('{0} at {1}'.format(e, path))
def _ConvertInteger(value):
"""Convert an integer.
Args:
value: A scalar value to convert.
Returns:
The integer value.
Raises:
ParseError: If an integer couldn't be consumed.
"""
if isinstance(value, float) and not value.is_integer():
raise ParseError('Couldn\'t parse integer: {0}'.format(value))
if isinstance(value, str) and value.find(' ') != -1:
raise ParseError('Couldn\'t parse integer: "{0}"'.format(value))
if isinstance(value, bool):
raise ParseError('Bool value {0} is not acceptable for '
'integer field'.format(value))
return int(value)
def _ConvertFloat(value, field):
"""Convert an floating point number."""
if isinstance(value, float):
if math.isnan(value):
raise ParseError('Couldn\'t parse NaN, use quoted "NaN" instead')
if math.isinf(value):
if value > 0:
raise ParseError('Couldn\'t parse Infinity or value too large, '
'use quoted "Infinity" instead')
else:
raise ParseError('Couldn\'t parse -Infinity or value too small, '
'use quoted "-Infinity" instead')
if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_FLOAT:
# pylint: disable=protected-access
if value > type_checkers._FLOAT_MAX:
raise ParseError('Float value too large')
# pylint: disable=protected-access
if value < type_checkers._FLOAT_MIN:
raise ParseError('Float value too small')
if value == 'nan':
raise ParseError('Couldn\'t parse float "nan", use "NaN" instead')
try:
# Assume Python compatible syntax.
return float(value)
except ValueError:
# Check alternative spellings.
if value == _NEG_INFINITY:
return float('-inf')
elif value == _INFINITY:
return float('inf')
elif value == _NAN:
return float('nan')
else:
raise ParseError('Couldn\'t parse float: {0}'.format(value))
def _ConvertBool(value, require_str):
"""Convert a boolean value.
Args:
value: A scalar value to convert.
require_str: If True, value must be a str.
Returns:
The bool parsed.
Raises:
ParseError: If a boolean value couldn't be consumed.
"""
if require_str:
if value == 'true':
return True
elif value == 'false':
return False
else:
raise ParseError('Expected "true" or "false", not {0}'.format(value))
if not isinstance(value, bool):
raise ParseError('Expected true or false without quotes')
return value
_WKTJSONMETHODS = {
'google.protobuf.Any': ['_AnyMessageToJsonObject',
'_ConvertAnyMessage'],
'google.protobuf.Duration': ['_GenericMessageToJsonObject',
'_ConvertGenericMessage'],
'google.protobuf.FieldMask': ['_GenericMessageToJsonObject',
'_ConvertGenericMessage'],
'google.protobuf.ListValue': ['_ListValueMessageToJsonObject',
'_ConvertListValueMessage'],
'google.protobuf.Struct': ['_StructMessageToJsonObject',
'_ConvertStructMessage'],
'google.protobuf.Timestamp': ['_GenericMessageToJsonObject',
'_ConvertGenericMessage'],
'google.protobuf.Value': ['_ValueMessageToJsonObject',
'_ConvertValueMessage']
}

424
resources/lib/deps/librespot/proto/google/protobuf/message.py
View file

@ -1,424 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
# TODO(robinson): We should just make these methods all "pure-virtual" and move
# all implementation out, into reflection.py for now.
"""Contains an abstract base class for protocol messages."""
__author__ = 'robinson@google.com (Will Robinson)'
class Error(Exception):
"""Base error type for this module."""
pass
class DecodeError(Error):
"""Exception raised when deserializing messages."""
pass
class EncodeError(Error):
"""Exception raised when serializing messages."""
pass
class Message(object):
"""Abstract base class for protocol messages.
Protocol message classes are almost always generated by the protocol
compiler. These generated types subclass Message and implement the methods
shown below.
"""
# TODO(robinson): Link to an HTML document here.
# TODO(robinson): Document that instances of this class will also
# have an Extensions attribute with __getitem__ and __setitem__.
# Again, not sure how to best convey this.
# TODO(robinson): Document that the class must also have a static
# RegisterExtension(extension_field) method.
# Not sure how to best express at this point.
# TODO(robinson): Document these fields and methods.
__slots__ = []
#: The :class:`google.protobuf.descriptor.Descriptor` for this message type.
DESCRIPTOR = None
def __deepcopy__(self, memo=None):
clone = type(self)()
clone.MergeFrom(self)
return clone
def __eq__(self, other_msg):
"""Recursively compares two messages by value and structure."""
raise NotImplementedError
def __ne__(self, other_msg):
# Can't just say self != other_msg, since that would infinitely recurse. :)
return not self == other_msg
def __hash__(self):
raise TypeError('unhashable object')
def __str__(self):
"""Outputs a human-readable representation of the message."""
raise NotImplementedError
def __unicode__(self):
"""Outputs a human-readable representation of the message."""
raise NotImplementedError
def MergeFrom(self, other_msg):
"""Merges the contents of the specified message into current message.
This method merges the contents of the specified message into the current
message. Singular fields that are set in the specified message overwrite
the corresponding fields in the current message. Repeated fields are
appended. Singular sub-messages and groups are recursively merged.
Args:
other_msg (Message): A message to merge into the current message.
"""
raise NotImplementedError
def CopyFrom(self, other_msg):
"""Copies the content of the specified message into the current message.
The method clears the current message and then merges the specified
message using MergeFrom.
Args:
other_msg (Message): A message to copy into the current one.
"""
if self is other_msg:
return
self.Clear()
self.MergeFrom(other_msg)
def Clear(self):
"""Clears all data that was set in the message."""
raise NotImplementedError
def SetInParent(self):
"""Mark this as present in the parent.
This normally happens automatically when you assign a field of a
sub-message, but sometimes you want to make the sub-message
present while keeping it empty. If you find yourself using this,
you may want to reconsider your design.
"""
raise NotImplementedError
def IsInitialized(self):
"""Checks if the message is initialized.
Returns:
bool: The method returns True if the message is initialized (i.e. all of
its required fields are set).
"""
raise NotImplementedError
# TODO(robinson): MergeFromString() should probably return None and be
# implemented in terms of a helper that returns the # of bytes read. Our
# deserialization routines would use the helper when recursively
# deserializing, but the end user would almost always just want the no-return
# MergeFromString().
def MergeFromString(self, serialized):
"""Merges serialized protocol buffer data into this message.
When we find a field in `serialized` that is already present
in this message:
- If it's a "repeated" field, we append to the end of our list.
- Else, if it's a scalar, we overwrite our field.
- Else, (it's a nonrepeated composite), we recursively merge
into the existing composite.
Args:
serialized (bytes): Any object that allows us to call
``memoryview(serialized)`` to access a string of bytes using the
buffer interface.
Returns:
int: The number of bytes read from `serialized`.
For non-group messages, this will always be `len(serialized)`,
but for messages which are actually groups, this will
generally be less than `len(serialized)`, since we must
stop when we reach an ``END_GROUP`` tag. Note that if
we *do* stop because of an ``END_GROUP`` tag, the number
of bytes returned does not include the bytes
for the ``END_GROUP`` tag information.
Raises:
DecodeError: if the input cannot be parsed.
"""
# TODO(robinson): Document handling of unknown fields.
# TODO(robinson): When we switch to a helper, this will return None.
raise NotImplementedError
def ParseFromString(self, serialized):
"""Parse serialized protocol buffer data into this message.
Like :func:`MergeFromString()`, except we clear the object first.
Raises:
message.DecodeError if the input cannot be parsed.
"""
self.Clear()
return self.MergeFromString(serialized)
def SerializeToString(self, **kwargs):
"""Serializes the protocol message to a binary string.
Keyword Args:
deterministic (bool): If true, requests deterministic serialization
of the protobuf, with predictable ordering of map keys.
Returns:
A binary string representation of the message if all of the required
fields in the message are set (i.e. the message is initialized).
Raises:
EncodeError: if the message isn't initialized (see :func:`IsInitialized`).
"""
raise NotImplementedError
def SerializePartialToString(self, **kwargs):
"""Serializes the protocol message to a binary string.
This method is similar to SerializeToString but doesn't check if the
message is initialized.
Keyword Args:
deterministic (bool): If true, requests deterministic serialization
of the protobuf, with predictable ordering of map keys.
Returns:
bytes: A serialized representation of the partial message.
"""
raise NotImplementedError
# TODO(robinson): Decide whether we like these better
# than auto-generated has_foo() and clear_foo() methods
# on the instances themselves. This way is less consistent
# with C++, but it makes reflection-type access easier and
# reduces the number of magically autogenerated things.
#
# TODO(robinson): Be sure to document (and test) exactly
# which field names are accepted here. Are we case-sensitive?
# What do we do with fields that share names with Python keywords
# like 'lambda' and 'yield'?
#
# nnorwitz says:
# """
# Typically (in python), an underscore is appended to names that are
# keywords. So they would become lambda_ or yield_.
# """
def ListFields(self):
"""Returns a list of (FieldDescriptor, value) tuples for present fields.
A message field is non-empty if HasField() would return true. A singular
primitive field is non-empty if HasField() would return true in proto2 or it
is non zero in proto3. A repeated field is non-empty if it contains at least
one element. The fields are ordered by field number.
Returns:
list[tuple(FieldDescriptor, value)]: field descriptors and values
for all fields in the message which are not empty. The values vary by
field type.
"""
raise NotImplementedError
def HasField(self, field_name):
"""Checks if a certain field is set for the message.
For a oneof group, checks if any field inside is set. Note that if the
field_name is not defined in the message descriptor, :exc:`ValueError` will
be raised.
Args:
field_name (str): The name of the field to check for presence.
Returns:
bool: Whether a value has been set for the named field.
Raises:
ValueError: if the `field_name` is not a member of this message.
"""
raise NotImplementedError
def ClearField(self, field_name):
"""Clears the contents of a given field.
Inside a oneof group, clears the field set. If the name neither refers to a
defined field or oneof group, :exc:`ValueError` is raised.
Args:
field_name (str): The name of the field to check for presence.
Raises:
ValueError: if the `field_name` is not a member of this message.
"""
raise NotImplementedError
def WhichOneof(self, oneof_group):
"""Returns the name of the field that is set inside a oneof group.
If no field is set, returns None.
Args:
oneof_group (str): the name of the oneof group to check.
Returns:
str or None: The name of the group that is set, or None.
Raises:
ValueError: no group with the given name exists
"""
raise NotImplementedError
def HasExtension(self, extension_handle):
"""Checks if a certain extension is present for this message.
Extensions are retrieved using the :attr:`Extensions` mapping (if present).
Args:
extension_handle: The handle for the extension to check.
Returns:
bool: Whether the extension is present for this message.
Raises:
KeyError: if the extension is repeated. Similar to repeated fields,
there is no separate notion of presence: a "not present" repeated
extension is an empty list.
"""
raise NotImplementedError
def ClearExtension(self, extension_handle):
"""Clears the contents of a given extension.
Args:
extension_handle: The handle for the extension to clear.
"""
raise NotImplementedError
def UnknownFields(self):
"""Returns the UnknownFieldSet.
Returns:
UnknownFieldSet: The unknown fields stored in this message.
"""
raise NotImplementedError
def DiscardUnknownFields(self):
"""Clears all fields in the :class:`UnknownFieldSet`.
This operation is recursive for nested message.
"""
raise NotImplementedError
def ByteSize(self):
"""Returns the serialized size of this message.
Recursively calls ByteSize() on all contained messages.
Returns:
int: The number of bytes required to serialize this message.
"""
raise NotImplementedError
@classmethod
def FromString(cls, s):
raise NotImplementedError
@staticmethod
def RegisterExtension(extension_handle):
raise NotImplementedError
def _SetListener(self, message_listener):
"""Internal method used by the protocol message implementation.
Clients should not call this directly.
Sets a listener that this message will call on certain state transitions.
The purpose of this method is to register back-edges from children to
parents at runtime, for the purpose of setting "has" bits and
byte-size-dirty bits in the parent and ancestor objects whenever a child or
descendant object is modified.
If the client wants to disconnect this Message from the object tree, she
explicitly sets callback to None.
If message_listener is None, unregisters any existing listener. Otherwise,
message_listener must implement the MessageListener interface in
internal/message_listener.py, and we discard any listener registered
via a previous _SetListener() call.
"""
raise NotImplementedError
def __getstate__(self):
"""Support the pickle protocol."""
return dict(serialized=self.SerializePartialToString())
def __setstate__(self, state):
"""Support the pickle protocol."""
self.__init__()
serialized = state['serialized']
# On Python 3, using encoding='latin1' is required for unpickling
# protos pickled by Python 2.
if not isinstance(serialized, bytes):
serialized = serialized.encode('latin1')
self.ParseFromString(serialized)
def __reduce__(self):
message_descriptor = self.DESCRIPTOR
if message_descriptor.containing_type is None:
return type(self), (), self.__getstate__()
# the message type must be nested.
# Python does not pickle nested classes; use the symbol_database on the
# receiving end.
container = message_descriptor
return (_InternalConstructMessage, (container.full_name,),
self.__getstate__())
def _InternalConstructMessage(full_name):
"""Constructs a nested message."""
from google.protobuf import symbol_database # pylint:disable=g-import-not-at-top
return symbol_database.Default().GetSymbol(full_name)()

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Provides a factory class for generating dynamic messages.
The easiest way to use this class is if you have access to the FileDescriptor
protos containing the messages you want to create you can just do the following:
message_classes = message_factory.GetMessages(iterable_of_file_descriptors)
my_proto_instance = message_classes['some.proto.package.MessageName']()
"""
__author__ = 'matthewtoia@google.com (Matt Toia)'
from google.protobuf.internal import api_implementation
from google.protobuf import descriptor_pool
from google.protobuf import message
if api_implementation.Type() == 'cpp':
from google.protobuf.pyext import cpp_message as message_impl
else:
from google.protobuf.internal import python_message as message_impl
# The type of all Message classes.
_GENERATED_PROTOCOL_MESSAGE_TYPE = message_impl.GeneratedProtocolMessageType
class MessageFactory(object):
"""Factory for creating Proto2 messages from descriptors in a pool."""
def __init__(self, pool=None):
"""Initializes a new factory."""
self.pool = pool or descriptor_pool.DescriptorPool()
# local cache of all classes built from protobuf descriptors
self._classes = {}
def GetPrototype(self, descriptor):
"""Obtains a proto2 message class based on the passed in descriptor.
Passing a descriptor with a fully qualified name matching a previous
invocation will cause the same class to be returned.
Args:
descriptor: The descriptor to build from.
Returns:
A class describing the passed in descriptor.
"""
if descriptor not in self._classes:
result_class = self.CreatePrototype(descriptor)
# The assignment to _classes is redundant for the base implementation, but
# might avoid confusion in cases where CreatePrototype gets overridden and
# does not call the base implementation.
self._classes[descriptor] = result_class
return result_class
return self._classes[descriptor]
def CreatePrototype(self, descriptor):
"""Builds a proto2 message class based on the passed in descriptor.
Don't call this function directly, it always creates a new class. Call
GetPrototype() instead. This method is meant to be overridden in subblasses
to perform additional operations on the newly constructed class.
Args:
descriptor: The descriptor to build from.
Returns:
A class describing the passed in descriptor.
"""
descriptor_name = descriptor.name
result_class = _GENERATED_PROTOCOL_MESSAGE_TYPE(
descriptor_name,
(message.Message,),
{
'DESCRIPTOR': descriptor,
# If module not set, it wrongly points to message_factory module.
'__module__': None,
})
result_class._FACTORY = self # pylint: disable=protected-access
# Assign in _classes before doing recursive calls to avoid infinite
# recursion.
self._classes[descriptor] = result_class
for field in descriptor.fields:
if field.message_type:
self.GetPrototype(field.message_type)
for extension in result_class.DESCRIPTOR.extensions:
if extension.containing_type not in self._classes:
self.GetPrototype(extension.containing_type)
extended_class = self._classes[extension.containing_type]
extended_class.RegisterExtension(extension)
return result_class
def GetMessages(self, files):
"""Gets all the messages from a specified file.
This will find and resolve dependencies, failing if the descriptor
pool cannot satisfy them.
Args:
files: The file names to extract messages from.
Returns:
A dictionary mapping proto names to the message classes. This will include
any dependent messages as well as any messages defined in the same file as
a specified message.
"""
result = {}
for file_name in files:
file_desc = self.pool.FindFileByName(file_name)
for desc in file_desc.message_types_by_name.values():
result[desc.full_name] = self.GetPrototype(desc)
# While the extension FieldDescriptors are created by the descriptor pool,
# the python classes created in the factory need them to be registered
# explicitly, which is done below.
#
# The call to RegisterExtension will specifically check if the
# extension was already registered on the object and either
# ignore the registration if the original was the same, or raise
# an error if they were different.
for extension in file_desc.extensions_by_name.values():
if extension.containing_type not in self._classes:
self.GetPrototype(extension.containing_type)
extended_class = self._classes[extension.containing_type]
extended_class.RegisterExtension(extension)
return result
_FACTORY = MessageFactory()
def GetMessages(file_protos):
"""Builds a dictionary of all the messages available in a set of files.
Args:
file_protos: Iterable of FileDescriptorProto to build messages out of.
Returns:
A dictionary mapping proto names to the message classes. This will include
any dependent messages as well as any messages defined in the same file as
a specified message.
"""
# The cpp implementation of the protocol buffer library requires to add the
# message in topological order of the dependency graph.
file_by_name = {file_proto.name: file_proto for file_proto in file_protos}
def _AddFile(file_proto):
for dependency in file_proto.dependency:
if dependency in file_by_name:
# Remove from elements to be visited, in order to cut cycles.
_AddFile(file_by_name.pop(dependency))
_FACTORY.pool.Add(file_proto)
while file_by_name:
_AddFile(file_by_name.popitem()[1])
return _FACTORY.GetMessages([file_proto.name for file_proto in file_protos])

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Dynamic Protobuf class creator."""
from collections import OrderedDict
import hashlib
import os
from google.protobuf import descriptor_pb2
from google.protobuf import descriptor
from google.protobuf import message_factory
def _GetMessageFromFactory(factory, full_name):
"""Get a proto class from the MessageFactory by name.
Args:
factory: a MessageFactory instance.
full_name: str, the fully qualified name of the proto type.
Returns:
A class, for the type identified by full_name.
Raises:
KeyError, if the proto is not found in the factory's descriptor pool.
"""
proto_descriptor = factory.pool.FindMessageTypeByName(full_name)
proto_cls = factory.GetPrototype(proto_descriptor)
return proto_cls
def MakeSimpleProtoClass(fields, full_name=None, pool=None):
"""Create a Protobuf class whose fields are basic types.
Note: this doesn't validate field names!
Args:
fields: dict of {name: field_type} mappings for each field in the proto. If
this is an OrderedDict the order will be maintained, otherwise the
fields will be sorted by name.
full_name: optional str, the fully-qualified name of the proto type.
pool: optional DescriptorPool instance.
Returns:
a class, the new protobuf class with a FileDescriptor.
"""
factory = message_factory.MessageFactory(pool=pool)
if full_name is not None:
try:
proto_cls = _GetMessageFromFactory(factory, full_name)
return proto_cls
except KeyError:
# The factory's DescriptorPool doesn't know about this class yet.
pass
# Get a list of (name, field_type) tuples from the fields dict. If fields was
# an OrderedDict we keep the order, but otherwise we sort the field to ensure
# consistent ordering.
field_items = fields.items()
if not isinstance(fields, OrderedDict):
field_items = sorted(field_items)
# Use a consistent file name that is unlikely to conflict with any imported
# proto files.
fields_hash = hashlib.sha1()
for f_name, f_type in field_items:
fields_hash.update(f_name.encode('utf-8'))
fields_hash.update(str(f_type).encode('utf-8'))
proto_file_name = fields_hash.hexdigest() + '.proto'
# If the proto is anonymous, use the same hash to name it.
if full_name is None:
full_name = ('net.proto2.python.public.proto_builder.AnonymousProto_' +
fields_hash.hexdigest())
try:
proto_cls = _GetMessageFromFactory(factory, full_name)
return proto_cls
except KeyError:
# The factory's DescriptorPool doesn't know about this class yet.
pass
# This is the first time we see this proto: add a new descriptor to the pool.
factory.pool.Add(
_MakeFileDescriptorProto(proto_file_name, full_name, field_items))
return _GetMessageFromFactory(factory, full_name)
def _MakeFileDescriptorProto(proto_file_name, full_name, field_items):
"""Populate FileDescriptorProto for MessageFactory's DescriptorPool."""
package, name = full_name.rsplit('.', 1)
file_proto = descriptor_pb2.FileDescriptorProto()
file_proto.name = os.path.join(package.replace('.', '/'), proto_file_name)
file_proto.package = package
desc_proto = file_proto.message_type.add()
desc_proto.name = name
for f_number, (f_name, f_type) in enumerate(field_items, 1):
field_proto = desc_proto.field.add()
field_proto.name = f_name
# # If the number falls in the reserved range, reassign it to the correct
# # number after the range.
if f_number >= descriptor.FieldDescriptor.FIRST_RESERVED_FIELD_NUMBER:
f_number += (
descriptor.FieldDescriptor.LAST_RESERVED_FIELD_NUMBER -
descriptor.FieldDescriptor.FIRST_RESERVED_FIELD_NUMBER + 1)
field_proto.number = f_number
field_proto.label = descriptor_pb2.FieldDescriptorProto.LABEL_OPTIONAL
field_proto.type = f_type
return file_proto

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Protocol message implementation hooks for C++ implementation.
Contains helper functions used to create protocol message classes from
Descriptor objects at runtime backed by the protocol buffer C++ API.
"""
__author__ = 'tibell@google.com (Johan Tibell)'
from google.protobuf.pyext import _message
class GeneratedProtocolMessageType(_message.MessageMeta):
"""Metaclass for protocol message classes created at runtime from Descriptors.
The protocol compiler currently uses this metaclass to create protocol
message classes at runtime. Clients can also manually create their own
classes at runtime, as in this example:
mydescriptor = Descriptor(.....)
factory = symbol_database.Default()
factory.pool.AddDescriptor(mydescriptor)
MyProtoClass = factory.GetPrototype(mydescriptor)
myproto_instance = MyProtoClass()
myproto.foo_field = 23
...
The above example will not work for nested types. If you wish to include them,
use reflection.MakeClass() instead of manually instantiating the class in
order to create the appropriate class structure.
"""
# Must be consistent with the protocol-compiler code in
# proto2/compiler/internal/generator.*.
_DESCRIPTOR_KEY = 'DESCRIPTOR'

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
# This code is meant to work on Python 2.4 and above only.
"""Contains a metaclass and helper functions used to create
protocol message classes from Descriptor objects at runtime.
Recall that a metaclass is the "type" of a class.
(A class is to a metaclass what an instance is to a class.)
In this case, we use the GeneratedProtocolMessageType metaclass
to inject all the useful functionality into the classes
output by the protocol compiler at compile-time.
The upshot of all this is that the real implementation
details for ALL pure-Python protocol buffers are *here in
this file*.
"""
__author__ = 'robinson@google.com (Will Robinson)'
from google.protobuf import message_factory
from google.protobuf import symbol_database
# The type of all Message classes.
# Part of the public interface, but normally only used by message factories.
GeneratedProtocolMessageType = message_factory._GENERATED_PROTOCOL_MESSAGE_TYPE
MESSAGE_CLASS_CACHE = {}
# Deprecated. Please NEVER use reflection.ParseMessage().
def ParseMessage(descriptor, byte_str):
"""Generate a new Message instance from this Descriptor and a byte string.
DEPRECATED: ParseMessage is deprecated because it is using MakeClass().
Please use MessageFactory.GetPrototype() instead.
Args:
descriptor: Protobuf Descriptor object
byte_str: Serialized protocol buffer byte string
Returns:
Newly created protobuf Message object.
"""
result_class = MakeClass(descriptor)
new_msg = result_class()
new_msg.ParseFromString(byte_str)
return new_msg
# Deprecated. Please NEVER use reflection.MakeClass().
def MakeClass(descriptor):
"""Construct a class object for a protobuf described by descriptor.
DEPRECATED: use MessageFactory.GetPrototype() instead.
Args:
descriptor: A descriptor.Descriptor object describing the protobuf.
Returns:
The Message class object described by the descriptor.
"""
# Original implementation leads to duplicate message classes, which won't play
# well with extensions. Message factory info is also missing.
# Redirect to message_factory.
return symbol_database.Default().GetPrototype(descriptor)

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# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""DEPRECATED: Declares the RPC service interfaces.
This module declares the abstract interfaces underlying proto2 RPC
services. These are intended to be independent of any particular RPC
implementation, so that proto2 services can be used on top of a variety
of implementations. Starting with version 2.3.0, RPC implementations should
not try to build on these, but should instead provide code generator plugins
which generate code specific to the particular RPC implementation. This way
the generated code can be more appropriate for the implementation in use
and can avoid unnecessary layers of indirection.
"""
__author__ = 'petar@google.com (Petar Petrov)'
class RpcException(Exception):
"""Exception raised on failed blocking RPC method call."""
pass
class Service(object):
"""Abstract base interface for protocol-buffer-based RPC services.
Services themselves are abstract classes (implemented either by servers or as
stubs), but they subclass this base interface. The methods of this
interface can be used to call the methods of the service without knowing
its exact type at compile time (analogous to the Message interface).
"""
def GetDescriptor():
"""Retrieves this service's descriptor."""
raise NotImplementedError
def CallMethod(self, method_descriptor, rpc_controller,
request, done):
"""Calls a method of the service specified by method_descriptor.
If "done" is None then the call is blocking and the response
message will be returned directly. Otherwise the call is asynchronous
and "done" will later be called with the response value.
In the blocking case, RpcException will be raised on error.
Preconditions:
* method_descriptor.service == GetDescriptor
* request is of the exact same classes as returned by
GetRequestClass(method).
* After the call has started, the request must not be modified.
* "rpc_controller" is of the correct type for the RPC implementation being
used by this Service. For stubs, the "correct type" depends on the
RpcChannel which the stub is using.
Postconditions:
* "done" will be called when the method is complete. This may be
before CallMethod() returns or it may be at some point in the future.
* If the RPC failed, the response value passed to "done" will be None.
Further details about the failure can be found by querying the
RpcController.
"""
raise NotImplementedError
def GetRequestClass(self, method_descriptor):
"""Returns the class of the request message for the specified method.
CallMethod() requires that the request is of a particular subclass of
Message. GetRequestClass() gets the default instance of this required
type.
Example:
method = service.GetDescriptor().FindMethodByName("Foo")
request = stub.GetRequestClass(method)()
request.ParseFromString(input)
service.CallMethod(method, request, callback)
"""
raise NotImplementedError
def GetResponseClass(self, method_descriptor):
"""Returns the class of the response message for the specified method.
This method isn't really needed, as the RpcChannel's CallMethod constructs
the response protocol message. It's provided anyway in case it is useful
for the caller to know the response type in advance.
"""
raise NotImplementedError
class RpcController(object):
"""An RpcController mediates a single method call.
The primary purpose of the controller is to provide a way to manipulate
settings specific to the RPC implementation and to find out about RPC-level
errors. The methods provided by the RpcController interface are intended
to be a "least common denominator" set of features which we expect all
implementations to support. Specific implementations may provide more
advanced features (e.g. deadline propagation).
"""
# Client-side methods below
def Reset(self):
"""Resets the RpcController to its initial state.
After the RpcController has been reset, it may be reused in
a new call. Must not be called while an RPC is in progress.
"""
raise NotImplementedError
def Failed(self):
"""Returns true if the call failed.
After a call has finished, returns true if the call failed. The possible
reasons for failure depend on the RPC implementation. Failed() must not
be called before a call has finished. If Failed() returns true, the
contents of the response message are undefined.
"""
raise NotImplementedError
def ErrorText(self):
"""If Failed is true, returns a human-readable description of the error."""
raise NotImplementedError
def StartCancel(self):
"""Initiate cancellation.
Advises the RPC system that the caller desires that the RPC call be
canceled. The RPC system may cancel it immediately, may wait awhile and
then cancel it, or may not even cancel the call at all. If the call is
canceled, the "done" callback will still be called and the RpcController
will indicate that the call failed at that time.
"""
raise NotImplementedError
# Server-side methods below
def SetFailed(self, reason):
"""Sets a failure reason.
Causes Failed() to return true on the client side. "reason" will be
incorporated into the message returned by ErrorText(). If you find
you need to return machine-readable information about failures, you
should incorporate it into your response protocol buffer and should
NOT call SetFailed().
"""
raise NotImplementedError
def IsCanceled(self):
"""Checks if the client cancelled the RPC.
If true, indicates that the client canceled the RPC, so the server may
as well give up on replying to it. The server should still call the
final "done" callback.
"""
raise NotImplementedError
def NotifyOnCancel(self, callback):
"""Sets a callback to invoke on cancel.
Asks that the given callback be called when the RPC is canceled. The
callback will always be called exactly once. If the RPC completes without
being canceled, the callback will be called after completion. If the RPC
has already been canceled when NotifyOnCancel() is called, the callback
will be called immediately.
NotifyOnCancel() must be called no more than once per request.
"""
raise NotImplementedError
class RpcChannel(object):
"""Abstract interface for an RPC channel.
An RpcChannel represents a communication line to a service which can be used
to call that service's methods. The service may be running on another
machine. Normally, you should not use an RpcChannel directly, but instead
construct a stub {@link Service} wrapping it. Example:
Example:
RpcChannel channel = rpcImpl.Channel("remotehost.example.com:1234")
RpcController controller = rpcImpl.Controller()
MyService service = MyService_Stub(channel)
service.MyMethod(controller, request, callback)
"""
def CallMethod(self, method_descriptor, rpc_controller,
request, response_class, done):
"""Calls the method identified by the descriptor.
Call the given method of the remote service. The signature of this
procedure looks the same as Service.CallMethod(), but the requirements
are less strict in one important way: the request object doesn't have to
be of any specific class as long as its descriptor is method.input_type.
"""
raise NotImplementedError

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@ -1,295 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Contains metaclasses used to create protocol service and service stub
classes from ServiceDescriptor objects at runtime.
The GeneratedServiceType and GeneratedServiceStubType metaclasses are used to
inject all useful functionality into the classes output by the protocol
compiler at compile-time.
"""
__author__ = 'petar@google.com (Petar Petrov)'
class GeneratedServiceType(type):
"""Metaclass for service classes created at runtime from ServiceDescriptors.
Implementations for all methods described in the Service class are added here
by this class. We also create properties to allow getting/setting all fields
in the protocol message.
The protocol compiler currently uses this metaclass to create protocol service
classes at runtime. Clients can also manually create their own classes at
runtime, as in this example::
mydescriptor = ServiceDescriptor(.....)
class MyProtoService(service.Service):
__metaclass__ = GeneratedServiceType
DESCRIPTOR = mydescriptor
myservice_instance = MyProtoService()
# ...
"""
_DESCRIPTOR_KEY = 'DESCRIPTOR'
def __init__(cls, name, bases, dictionary):
"""Creates a message service class.
Args:
name: Name of the class (ignored, but required by the metaclass
protocol).
bases: Base classes of the class being constructed.
dictionary: The class dictionary of the class being constructed.
dictionary[_DESCRIPTOR_KEY] must contain a ServiceDescriptor object
describing this protocol service type.
"""
# Don't do anything if this class doesn't have a descriptor. This happens
# when a service class is subclassed.
if GeneratedServiceType._DESCRIPTOR_KEY not in dictionary:
return
descriptor = dictionary[GeneratedServiceType._DESCRIPTOR_KEY]
service_builder = _ServiceBuilder(descriptor)
service_builder.BuildService(cls)
cls.DESCRIPTOR = descriptor
class GeneratedServiceStubType(GeneratedServiceType):
"""Metaclass for service stubs created at runtime from ServiceDescriptors.
This class has similar responsibilities as GeneratedServiceType, except that
it creates the service stub classes.
"""
_DESCRIPTOR_KEY = 'DESCRIPTOR'
def __init__(cls, name, bases, dictionary):
"""Creates a message service stub class.
Args:
name: Name of the class (ignored, here).
bases: Base classes of the class being constructed.
dictionary: The class dictionary of the class being constructed.
dictionary[_DESCRIPTOR_KEY] must contain a ServiceDescriptor object
describing this protocol service type.
"""
super(GeneratedServiceStubType, cls).__init__(name, bases, dictionary)
# Don't do anything if this class doesn't have a descriptor. This happens
# when a service stub is subclassed.
if GeneratedServiceStubType._DESCRIPTOR_KEY not in dictionary:
return
descriptor = dictionary[GeneratedServiceStubType._DESCRIPTOR_KEY]
service_stub_builder = _ServiceStubBuilder(descriptor)
service_stub_builder.BuildServiceStub(cls)
class _ServiceBuilder(object):
"""This class constructs a protocol service class using a service descriptor.
Given a service descriptor, this class constructs a class that represents
the specified service descriptor. One service builder instance constructs
exactly one service class. That means all instances of that class share the
same builder.
"""
def __init__(self, service_descriptor):
"""Initializes an instance of the service class builder.
Args:
service_descriptor: ServiceDescriptor to use when constructing the
service class.
"""
self.descriptor = service_descriptor
def BuildService(builder, cls):
"""Constructs the service class.
Args:
cls: The class that will be constructed.
"""
# CallMethod needs to operate with an instance of the Service class. This
# internal wrapper function exists only to be able to pass the service
# instance to the method that does the real CallMethod work.
# Making sure to use exact argument names from the abstract interface in
# service.py to match the type signature
def _WrapCallMethod(self, method_descriptor, rpc_controller, request, done):
return builder._CallMethod(self, method_descriptor, rpc_controller,
request, done)
def _WrapGetRequestClass(self, method_descriptor):
return builder._GetRequestClass(method_descriptor)
def _WrapGetResponseClass(self, method_descriptor):
return builder._GetResponseClass(method_descriptor)
builder.cls = cls
cls.CallMethod = _WrapCallMethod
cls.GetDescriptor = staticmethod(lambda: builder.descriptor)
cls.GetDescriptor.__doc__ = 'Returns the service descriptor.'
cls.GetRequestClass = _WrapGetRequestClass
cls.GetResponseClass = _WrapGetResponseClass
for method in builder.descriptor.methods:
setattr(cls, method.name, builder._GenerateNonImplementedMethod(method))
def _CallMethod(self, srvc, method_descriptor,
rpc_controller, request, callback):
"""Calls the method described by a given method descriptor.
Args:
srvc: Instance of the service for which this method is called.
method_descriptor: Descriptor that represent the method to call.
rpc_controller: RPC controller to use for this method's execution.
request: Request protocol message.
callback: A callback to invoke after the method has completed.
"""
if method_descriptor.containing_service != self.descriptor:
raise RuntimeError(
'CallMethod() given method descriptor for wrong service type.')
method = getattr(srvc, method_descriptor.name)
return method(rpc_controller, request, callback)
def _GetRequestClass(self, method_descriptor):
"""Returns the class of the request protocol message.
Args:
method_descriptor: Descriptor of the method for which to return the
request protocol message class.
Returns:
A class that represents the input protocol message of the specified
method.
"""
if method_descriptor.containing_service != self.descriptor:
raise RuntimeError(
'GetRequestClass() given method descriptor for wrong service type.')
return method_descriptor.input_type._concrete_class
def _GetResponseClass(self, method_descriptor):
"""Returns the class of the response protocol message.
Args:
method_descriptor: Descriptor of the method for which to return the
response protocol message class.
Returns:
A class that represents the output protocol message of the specified
method.
"""
if method_descriptor.containing_service != self.descriptor:
raise RuntimeError(
'GetResponseClass() given method descriptor for wrong service type.')
return method_descriptor.output_type._concrete_class
def _GenerateNonImplementedMethod(self, method):
"""Generates and returns a method that can be set for a service methods.
Args:
method: Descriptor of the service method for which a method is to be
generated.
Returns:
A method that can be added to the service class.
"""
return lambda inst, rpc_controller, request, callback: (
self._NonImplementedMethod(method.name, rpc_controller, callback))
def _NonImplementedMethod(self, method_name, rpc_controller, callback):
"""The body of all methods in the generated service class.
Args:
method_name: Name of the method being executed.
rpc_controller: RPC controller used to execute this method.
callback: A callback which will be invoked when the method finishes.
"""
rpc_controller.SetFailed('Method %s not implemented.' % method_name)
callback(None)
class _ServiceStubBuilder(object):
"""Constructs a protocol service stub class using a service descriptor.
Given a service descriptor, this class constructs a suitable stub class.
A stub is just a type-safe wrapper around an RpcChannel which emulates a
local implementation of the service.
One service stub builder instance constructs exactly one class. It means all
instances of that class share the same service stub builder.
"""
def __init__(self, service_descriptor):
"""Initializes an instance of the service stub class builder.
Args:
service_descriptor: ServiceDescriptor to use when constructing the
stub class.
"""
self.descriptor = service_descriptor
def BuildServiceStub(self, cls):
"""Constructs the stub class.
Args:
cls: The class that will be constructed.
"""
def _ServiceStubInit(stub, rpc_channel):
stub.rpc_channel = rpc_channel
self.cls = cls
cls.__init__ = _ServiceStubInit
for method in self.descriptor.methods:
setattr(cls, method.name, self._GenerateStubMethod(method))
def _GenerateStubMethod(self, method):
return (lambda inst, rpc_controller, request, callback=None:
self._StubMethod(inst, method, rpc_controller, request, callback))
def _StubMethod(self, stub, method_descriptor,
rpc_controller, request, callback):
"""The body of all service methods in the generated stub class.
Args:
stub: Stub instance.
method_descriptor: Descriptor of the invoked method.
rpc_controller: Rpc controller to execute the method.
request: Request protocol message.
callback: A callback to execute when the method finishes.
Returns:
Response message (in case of blocking call).
"""
return stub.rpc_channel.CallMethod(
method_descriptor, rpc_controller, request,
method_descriptor.output_type._concrete_class, callback)

26
resources/lib/deps/librespot/proto/google/protobuf/source_context_pb2.py
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@ -1,26 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/source_context.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n$google/protobuf/source_context.proto\x12\x0fgoogle.protobuf\"\"\n\rSourceContext\x12\x11\n\tfile_name\x18\x01 \x01(\tB\x8a\x01\n\x13\x63om.google.protobufB\x12SourceContextProtoP\x01Z6google.golang.org/protobuf/types/known/sourcecontextpb\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.source_context_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\022SourceContextProtoP\001Z6google.golang.org/protobuf/types/known/sourcecontextpb\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_SOURCECONTEXT._serialized_start=57
_SOURCECONTEXT._serialized_end=91
# @@protoc_insertion_point(module_scope)

36
resources/lib/deps/librespot/proto/google/protobuf/struct_pb2.py
View file

@ -1,36 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/struct.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1cgoogle/protobuf/struct.proto\x12\x0fgoogle.protobuf\"\x84\x01\n\x06Struct\x12\x33\n\x06\x66ields\x18\x01 \x03(\x0b\x32#.google.protobuf.Struct.FieldsEntry\x1a\x45\n\x0b\x46ieldsEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12%\n\x05value\x18\x02 \x01(\x0b\x32\x16.google.protobuf.Value:\x02\x38\x01\"\xea\x01\n\x05Value\x12\x30\n\nnull_value\x18\x01 \x01(\x0e\x32\x1a.google.protobuf.NullValueH\x00\x12\x16\n\x0cnumber_value\x18\x02 \x01(\x01H\x00\x12\x16\n\x0cstring_value\x18\x03 \x01(\tH\x00\x12\x14\n\nbool_value\x18\x04 \x01(\x08H\x00\x12/\n\x0cstruct_value\x18\x05 \x01(\x0b\x32\x17.google.protobuf.StructH\x00\x12\x30\n\nlist_value\x18\x06 \x01(\x0b\x32\x1a.google.protobuf.ListValueH\x00\x42\x06\n\x04kind\"3\n\tListValue\x12&\n\x06values\x18\x01 \x03(\x0b\x32\x16.google.protobuf.Value*\x1b\n\tNullValue\x12\x0e\n\nNULL_VALUE\x10\x00\x42\x7f\n\x13\x63om.google.protobufB\x0bStructProtoP\x01Z/google.golang.org/protobuf/types/known/structpb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.struct_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\013StructProtoP\001Z/google.golang.org/protobuf/types/known/structpb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_STRUCT_FIELDSENTRY._options = None
_STRUCT_FIELDSENTRY._serialized_options = b'8\001'
_NULLVALUE._serialized_start=474
_NULLVALUE._serialized_end=501
_STRUCT._serialized_start=50
_STRUCT._serialized_end=182
_STRUCT_FIELDSENTRY._serialized_start=113
_STRUCT_FIELDSENTRY._serialized_end=182
_VALUE._serialized_start=185
_VALUE._serialized_end=419
_LISTVALUE._serialized_start=421
_LISTVALUE._serialized_end=472
# @@protoc_insertion_point(module_scope)

194
resources/lib/deps/librespot/proto/google/protobuf/symbol_database.py
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@ -1,194 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""A database of Python protocol buffer generated symbols.
SymbolDatabase is the MessageFactory for messages generated at compile time,
and makes it easy to create new instances of a registered type, given only the
type's protocol buffer symbol name.
Example usage::
db = symbol_database.SymbolDatabase()
# Register symbols of interest, from one or multiple files.
db.RegisterFileDescriptor(my_proto_pb2.DESCRIPTOR)
db.RegisterMessage(my_proto_pb2.MyMessage)
db.RegisterEnumDescriptor(my_proto_pb2.MyEnum.DESCRIPTOR)
# The database can be used as a MessageFactory, to generate types based on
# their name:
types = db.GetMessages(['my_proto.proto'])
my_message_instance = types['MyMessage']()
# The database's underlying descriptor pool can be queried, so it's not
# necessary to know a type's filename to be able to generate it:
filename = db.pool.FindFileContainingSymbol('MyMessage')
my_message_instance = db.GetMessages([filename])['MyMessage']()
# This functionality is also provided directly via a convenience method:
my_message_instance = db.GetSymbol('MyMessage')()
"""
from google.protobuf.internal import api_implementation
from google.protobuf import descriptor_pool
from google.protobuf import message_factory
class SymbolDatabase(message_factory.MessageFactory):
"""A database of Python generated symbols."""
def RegisterMessage(self, message):
"""Registers the given message type in the local database.
Calls to GetSymbol() and GetMessages() will return messages registered here.
Args:
message: A :class:`google.protobuf.message.Message` subclass (or
instance); its descriptor will be registered.
Returns:
The provided message.
"""
desc = message.DESCRIPTOR
self._classes[desc] = message
self.RegisterMessageDescriptor(desc)
return message
def RegisterMessageDescriptor(self, message_descriptor):
"""Registers the given message descriptor in the local database.
Args:
message_descriptor (Descriptor): the message descriptor to add.
"""
if api_implementation.Type() == 'python':
# pylint: disable=protected-access
self.pool._AddDescriptor(message_descriptor)
def RegisterEnumDescriptor(self, enum_descriptor):
"""Registers the given enum descriptor in the local database.
Args:
enum_descriptor (EnumDescriptor): The enum descriptor to register.
Returns:
EnumDescriptor: The provided descriptor.
"""
if api_implementation.Type() == 'python':
# pylint: disable=protected-access
self.pool._AddEnumDescriptor(enum_descriptor)
return enum_descriptor
def RegisterServiceDescriptor(self, service_descriptor):
"""Registers the given service descriptor in the local database.
Args:
service_descriptor (ServiceDescriptor): the service descriptor to
register.
"""
if api_implementation.Type() == 'python':
# pylint: disable=protected-access
self.pool._AddServiceDescriptor(service_descriptor)
def RegisterFileDescriptor(self, file_descriptor):
"""Registers the given file descriptor in the local database.
Args:
file_descriptor (FileDescriptor): The file descriptor to register.
"""
if api_implementation.Type() == 'python':
# pylint: disable=protected-access
self.pool._InternalAddFileDescriptor(file_descriptor)
def GetSymbol(self, symbol):
"""Tries to find a symbol in the local database.
Currently, this method only returns message.Message instances, however, if
may be extended in future to support other symbol types.
Args:
symbol (str): a protocol buffer symbol.
Returns:
A Python class corresponding to the symbol.
Raises:
KeyError: if the symbol could not be found.
"""
return self._classes[self.pool.FindMessageTypeByName(symbol)]
def GetMessages(self, files):
# TODO(amauryfa): Fix the differences with MessageFactory.
"""Gets all registered messages from a specified file.
Only messages already created and registered will be returned; (this is the
case for imported _pb2 modules)
But unlike MessageFactory, this version also returns already defined nested
messages, but does not register any message extensions.
Args:
files (list[str]): The file names to extract messages from.
Returns:
A dictionary mapping proto names to the message classes.
Raises:
KeyError: if a file could not be found.
"""
def _GetAllMessages(desc):
"""Walk a message Descriptor and recursively yields all message names."""
yield desc
for msg_desc in desc.nested_types:
for nested_desc in _GetAllMessages(msg_desc):
yield nested_desc
result = {}
for file_name in files:
file_desc = self.pool.FindFileByName(file_name)
for msg_desc in file_desc.message_types_by_name.values():
for desc in _GetAllMessages(msg_desc):
try:
result[desc.full_name] = self._classes[desc]
except KeyError:
# This descriptor has no registered class, skip it.
pass
return result
_DEFAULT = SymbolDatabase(pool=descriptor_pool.Default())
def Default():
"""Returns the default SymbolDatabase."""
return _DEFAULT

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@ -1,110 +0,0 @@
# Protocol Buffers - Google's data interchange format
# Copyright 2008 Google Inc. All rights reserved.
# https://developers.google.com/protocol-buffers/
#
# 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 Google Inc. 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
# OWNER 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.
"""Encoding related utilities."""
import re
_cescape_chr_to_symbol_map = {}
_cescape_chr_to_symbol_map[9] = r'\t' # optional escape
_cescape_chr_to_symbol_map[10] = r'\n' # optional escape
_cescape_chr_to_symbol_map[13] = r'\r' # optional escape
_cescape_chr_to_symbol_map[34] = r'\"' # necessary escape
_cescape_chr_to_symbol_map[39] = r"\'" # optional escape
_cescape_chr_to_symbol_map[92] = r'\\' # necessary escape
# Lookup table for unicode
_cescape_unicode_to_str = [chr(i) for i in range(0, 256)]
for byte, string in _cescape_chr_to_symbol_map.items():
_cescape_unicode_to_str[byte] = string
# Lookup table for non-utf8, with necessary escapes at (o >= 127 or o < 32)
_cescape_byte_to_str = ([r'\%03o' % i for i in range(0, 32)] +
[chr(i) for i in range(32, 127)] +
[r'\%03o' % i for i in range(127, 256)])
for byte, string in _cescape_chr_to_symbol_map.items():
_cescape_byte_to_str[byte] = string
del byte, string
def CEscape(text, as_utf8):
# type: (...) -> str
"""Escape a bytes string for use in an text protocol buffer.
Args:
text: A byte string to be escaped.
as_utf8: Specifies if result may contain non-ASCII characters.
In Python 3 this allows unescaped non-ASCII Unicode characters.
In Python 2 the return value will be valid UTF-8 rather than only ASCII.
Returns:
Escaped string (str).
"""
# Python's text.encode() 'string_escape' or 'unicode_escape' codecs do not
# satisfy our needs; they encodes unprintable characters using two-digit hex
# escapes whereas our C++ unescaping function allows hex escapes to be any
# length. So, "\0011".encode('string_escape') ends up being "\\x011", which
# will be decoded in C++ as a single-character string with char code 0x11.
text_is_unicode = isinstance(text, str)
if as_utf8 and text_is_unicode:
# We're already unicode, no processing beyond control char escapes.
return text.translate(_cescape_chr_to_symbol_map)
ord_ = ord if text_is_unicode else lambda x: x # bytes iterate as ints.
if as_utf8:
return ''.join(_cescape_unicode_to_str[ord_(c)] for c in text)
return ''.join(_cescape_byte_to_str[ord_(c)] for c in text)
_CUNESCAPE_HEX = re.compile(r'(\\+)x([0-9a-fA-F])(?![0-9a-fA-F])')
def CUnescape(text):
# type: (str) -> bytes
"""Unescape a text string with C-style escape sequences to UTF-8 bytes.
Args:
text: The data to parse in a str.
Returns:
A byte string.
"""
def ReplaceHex(m):
# Only replace the match if the number of leading back slashes is odd. i.e.
# the slash itself is not escaped.
if len(m.group(1)) & 1:
return m.group(1) + 'x0' + m.group(2)
return m.group(0)
# This is required because the 'string_escape' encoding doesn't
# allow single-digit hex escapes (like '\xf').
result = _CUNESCAPE_HEX.sub(ReplaceHex, text)
return (result.encode('utf-8') # Make it bytes to allow decode.
.decode('unicode_escape')
# Make it bytes again to return the proper type.
.encode('raw_unicode_escape'))

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resources/lib/deps/librespot/proto/google/protobuf/timestamp_pb2.py
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@ -1,26 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/timestamp.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1fgoogle/protobuf/timestamp.proto\x12\x0fgoogle.protobuf\"+\n\tTimestamp\x12\x0f\n\x07seconds\x18\x01 \x01(\x03\x12\r\n\x05nanos\x18\x02 \x01(\x05\x42\x85\x01\n\x13\x63om.google.protobufB\x0eTimestampProtoP\x01Z2google.golang.org/protobuf/types/known/timestamppb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.timestamp_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\016TimestampProtoP\001Z2google.golang.org/protobuf/types/known/timestamppb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_TIMESTAMP._serialized_start=52
_TIMESTAMP._serialized_end=95
# @@protoc_insertion_point(module_scope)

42
resources/lib/deps/librespot/proto/google/protobuf/type_pb2.py
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@ -1,42 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/type.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
from google.protobuf import any_pb2 as google_dot_protobuf_dot_any__pb2
from google.protobuf import source_context_pb2 as google_dot_protobuf_dot_source__context__pb2
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1agoogle/protobuf/type.proto\x12\x0fgoogle.protobuf\x1a\x19google/protobuf/any.proto\x1a$google/protobuf/source_context.proto\"\xd7\x01\n\x04Type\x12\x0c\n\x04name\x18\x01 \x01(\t\x12&\n\x06\x66ields\x18\x02 \x03(\x0b\x32\x16.google.protobuf.Field\x12\x0e\n\x06oneofs\x18\x03 \x03(\t\x12(\n\x07options\x18\x04 \x03(\x0b\x32\x17.google.protobuf.Option\x12\x36\n\x0esource_context\x18\x05 \x01(\x0b\x32\x1e.google.protobuf.SourceContext\x12\'\n\x06syntax\x18\x06 \x01(\x0e\x32\x17.google.protobuf.Syntax\"\xd5\x05\n\x05\x46ield\x12)\n\x04kind\x18\x01 \x01(\x0e\x32\x1b.google.protobuf.Field.Kind\x12\x37\n\x0b\x63\x61rdinality\x18\x02 \x01(\x0e\x32\".google.protobuf.Field.Cardinality\x12\x0e\n\x06number\x18\x03 \x01(\x05\x12\x0c\n\x04name\x18\x04 \x01(\t\x12\x10\n\x08type_url\x18\x06 \x01(\t\x12\x13\n\x0boneof_index\x18\x07 \x01(\x05\x12\x0e\n\x06packed\x18\x08 \x01(\x08\x12(\n\x07options\x18\t \x03(\x0b\x32\x17.google.protobuf.Option\x12\x11\n\tjson_name\x18\n \x01(\t\x12\x15\n\rdefault_value\x18\x0b \x01(\t\"\xc8\x02\n\x04Kind\x12\x10\n\x0cTYPE_UNKNOWN\x10\x00\x12\x0f\n\x0bTYPE_DOUBLE\x10\x01\x12\x0e\n\nTYPE_FLOAT\x10\x02\x12\x0e\n\nTYPE_INT64\x10\x03\x12\x0f\n\x0bTYPE_UINT64\x10\x04\x12\x0e\n\nTYPE_INT32\x10\x05\x12\x10\n\x0cTYPE_FIXED64\x10\x06\x12\x10\n\x0cTYPE_FIXED32\x10\x07\x12\r\n\tTYPE_BOOL\x10\x08\x12\x0f\n\x0bTYPE_STRING\x10\t\x12\x0e\n\nTYPE_GROUP\x10\n\x12\x10\n\x0cTYPE_MESSAGE\x10\x0b\x12\x0e\n\nTYPE_BYTES\x10\x0c\x12\x0f\n\x0bTYPE_UINT32\x10\r\x12\r\n\tTYPE_ENUM\x10\x0e\x12\x11\n\rTYPE_SFIXED32\x10\x0f\x12\x11\n\rTYPE_SFIXED64\x10\x10\x12\x0f\n\x0bTYPE_SINT32\x10\x11\x12\x0f\n\x0bTYPE_SINT64\x10\x12\"t\n\x0b\x43\x61rdinality\x12\x17\n\x13\x43\x41RDINALITY_UNKNOWN\x10\x00\x12\x18\n\x14\x43\x41RDINALITY_OPTIONAL\x10\x01\x12\x18\n\x14\x43\x41RDINALITY_REQUIRED\x10\x02\x12\x18\n\x14\x43\x41RDINALITY_REPEATED\x10\x03\"\xce\x01\n\x04\x45num\x12\x0c\n\x04name\x18\x01 \x01(\t\x12-\n\tenumvalue\x18\x02 \x03(\x0b\x32\x1a.google.protobuf.EnumValue\x12(\n\x07options\x18\x03 \x03(\x0b\x32\x17.google.protobuf.Option\x12\x36\n\x0esource_context\x18\x04 \x01(\x0b\x32\x1e.google.protobuf.SourceContext\x12\'\n\x06syntax\x18\x05 \x01(\x0e\x32\x17.google.protobuf.Syntax\"S\n\tEnumValue\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x0e\n\x06number\x18\x02 \x01(\x05\x12(\n\x07options\x18\x03 \x03(\x0b\x32\x17.google.protobuf.Option\";\n\x06Option\x12\x0c\n\x04name\x18\x01 \x01(\t\x12#\n\x05value\x18\x02 \x01(\x0b\x32\x14.google.protobuf.Any*.\n\x06Syntax\x12\x11\n\rSYNTAX_PROTO2\x10\x00\x12\x11\n\rSYNTAX_PROTO3\x10\x01\x42{\n\x13\x63om.google.protobufB\tTypeProtoP\x01Z-google.golang.org/protobuf/types/known/typepb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.type_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\tTypeProtoP\001Z-google.golang.org/protobuf/types/known/typepb\370\001\001\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
_SYNTAX._serialized_start=1413
_SYNTAX._serialized_end=1459
_TYPE._serialized_start=113
_TYPE._serialized_end=328
_FIELD._serialized_start=331
_FIELD._serialized_end=1056
_FIELD_KIND._serialized_start=610
_FIELD_KIND._serialized_end=938
_FIELD_CARDINALITY._serialized_start=940
_FIELD_CARDINALITY._serialized_end=1056
_ENUM._serialized_start=1059
_ENUM._serialized_end=1265
_ENUMVALUE._serialized_start=1267
_ENUMVALUE._serialized_end=1350
_OPTION._serialized_start=1352
_OPTION._serialized_end=1411
# @@protoc_insertion_point(module_scope)

0
resources/lib/deps/librespot/proto/google/protobuf/util/__init__.py
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72
resources/lib/deps/librespot/proto/google/protobuf/util/json_format_pb2.py
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@ -1,72 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/util/json_format.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n&google/protobuf/util/json_format.proto\x12\x11protobuf_unittest\"\x89\x01\n\x13TestFlagsAndStrings\x12\t\n\x01\x41\x18\x01 \x02(\x05\x12K\n\rrepeatedgroup\x18\x02 \x03(\n24.protobuf_unittest.TestFlagsAndStrings.RepeatedGroup\x1a\x1a\n\rRepeatedGroup\x12\t\n\x01\x66\x18\x03 \x02(\t\"!\n\x14TestBase64ByteArrays\x12\t\n\x01\x61\x18\x01 \x02(\x0c\"G\n\x12TestJavaScriptJSON\x12\t\n\x01\x61\x18\x01 \x01(\x05\x12\r\n\x05\x66inal\x18\x02 \x01(\x02\x12\n\n\x02in\x18\x03 \x01(\t\x12\x0b\n\x03Var\x18\x04 \x01(\t\"Q\n\x18TestJavaScriptOrderJSON1\x12\t\n\x01\x64\x18\x01 \x01(\x05\x12\t\n\x01\x63\x18\x02 \x01(\x05\x12\t\n\x01x\x18\x03 \x01(\x08\x12\t\n\x01\x62\x18\x04 \x01(\x05\x12\t\n\x01\x61\x18\x05 \x01(\x05\"\x89\x01\n\x18TestJavaScriptOrderJSON2\x12\t\n\x01\x64\x18\x01 \x01(\x05\x12\t\n\x01\x63\x18\x02 \x01(\x05\x12\t\n\x01x\x18\x03 \x01(\x08\x12\t\n\x01\x62\x18\x04 \x01(\x05\x12\t\n\x01\x61\x18\x05 \x01(\x05\x12\x36\n\x01z\x18\x06 \x03(\x0b\x32+.protobuf_unittest.TestJavaScriptOrderJSON1\"$\n\x0cTestLargeInt\x12\t\n\x01\x61\x18\x01 \x02(\x03\x12\t\n\x01\x62\x18\x02 \x02(\x04\"\xa0\x01\n\x0bTestNumbers\x12\x30\n\x01\x61\x18\x01 \x01(\x0e\x32%.protobuf_unittest.TestNumbers.MyType\x12\t\n\x01\x62\x18\x02 \x01(\x05\x12\t\n\x01\x63\x18\x03 \x01(\x02\x12\t\n\x01\x64\x18\x04 \x01(\x08\x12\t\n\x01\x65\x18\x05 \x01(\x01\x12\t\n\x01\x66\x18\x06 \x01(\r\"(\n\x06MyType\x12\x06\n\x02OK\x10\x00\x12\x0b\n\x07WARNING\x10\x01\x12\t\n\x05\x45RROR\x10\x02\"T\n\rTestCamelCase\x12\x14\n\x0cnormal_field\x18\x01 \x01(\t\x12\x15\n\rCAPITAL_FIELD\x18\x02 \x01(\x05\x12\x16\n\x0e\x43\x61melCaseField\x18\x03 \x01(\x05\"|\n\x0bTestBoolMap\x12=\n\x08\x62ool_map\x18\x01 \x03(\x0b\x32+.protobuf_unittest.TestBoolMap.BoolMapEntry\x1a.\n\x0c\x42oolMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\x08\x12\r\n\x05value\x18\x02 \x01(\x05:\x02\x38\x01\"O\n\rTestRecursion\x12\r\n\x05value\x18\x01 \x01(\x05\x12/\n\x05\x63hild\x18\x02 \x01(\x0b\x32 .protobuf_unittest.TestRecursion\"\x86\x01\n\rTestStringMap\x12\x43\n\nstring_map\x18\x01 \x03(\x0b\x32/.protobuf_unittest.TestStringMap.StringMapEntry\x1a\x30\n\x0eStringMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"\xc4\x01\n\x14TestStringSerializer\x12\x15\n\rscalar_string\x18\x01 \x01(\t\x12\x17\n\x0frepeated_string\x18\x02 \x03(\t\x12J\n\nstring_map\x18\x03 \x03(\x0b\x32\x36.protobuf_unittest.TestStringSerializer.StringMapEntry\x1a\x30\n\x0eStringMapEntry\x12\x0b\n\x03key\x18\x01 \x01(\t\x12\r\n\x05value\x18\x02 \x01(\t:\x02\x38\x01\"$\n\x18TestMessageWithExtension*\x08\x08\x64\x10\x80\x80\x80\x80\x02\"z\n\rTestExtension\x12\r\n\x05value\x18\x01 \x01(\t2Z\n\x03\x65xt\x12+.protobuf_unittest.TestMessageWithExtension\x18\x64 \x01(\x0b\x32 .protobuf_unittest.TestExtension\"Q\n\x14TestDefaultEnumValue\x12\x39\n\nenum_value\x18\x01 \x01(\x0e\x32\x1c.protobuf_unittest.EnumValue:\x07\x44\x45\x46\x41ULT*2\n\tEnumValue\x12\x0c\n\x08PROTOCOL\x10\x00\x12\n\n\x06\x42UFFER\x10\x01\x12\x0b\n\x07\x44\x45\x46\x41ULT\x10\x02')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.util.json_format_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
TestMessageWithExtension.RegisterExtension(_TESTEXTENSION.extensions_by_name['ext'])
DESCRIPTOR._options = None
_TESTBOOLMAP_BOOLMAPENTRY._options = None
_TESTBOOLMAP_BOOLMAPENTRY._serialized_options = b'8\001'
_TESTSTRINGMAP_STRINGMAPENTRY._options = None
_TESTSTRINGMAP_STRINGMAPENTRY._serialized_options = b'8\001'
_TESTSTRINGSERIALIZER_STRINGMAPENTRY._options = None
_TESTSTRINGSERIALIZER_STRINGMAPENTRY._serialized_options = b'8\001'
_ENUMVALUE._serialized_start=1607
_ENUMVALUE._serialized_end=1657
_TESTFLAGSANDSTRINGS._serialized_start=62
_TESTFLAGSANDSTRINGS._serialized_end=199
_TESTFLAGSANDSTRINGS_REPEATEDGROUP._serialized_start=173
_TESTFLAGSANDSTRINGS_REPEATEDGROUP._serialized_end=199
_TESTBASE64BYTEARRAYS._serialized_start=201
_TESTBASE64BYTEARRAYS._serialized_end=234
_TESTJAVASCRIPTJSON._serialized_start=236
_TESTJAVASCRIPTJSON._serialized_end=307
_TESTJAVASCRIPTORDERJSON1._serialized_start=309
_TESTJAVASCRIPTORDERJSON1._serialized_end=390
_TESTJAVASCRIPTORDERJSON2._serialized_start=393
_TESTJAVASCRIPTORDERJSON2._serialized_end=530
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_TESTLARGEINT._serialized_end=568
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_TESTNUMBERS._serialized_end=731
_TESTNUMBERS_MYTYPE._serialized_start=691
_TESTNUMBERS_MYTYPE._serialized_end=731
_TESTCAMELCASE._serialized_start=733
_TESTCAMELCASE._serialized_end=817
_TESTBOOLMAP._serialized_start=819
_TESTBOOLMAP._serialized_end=943
_TESTBOOLMAP_BOOLMAPENTRY._serialized_start=897
_TESTBOOLMAP_BOOLMAPENTRY._serialized_end=943
_TESTRECURSION._serialized_start=945
_TESTRECURSION._serialized_end=1024
_TESTSTRINGMAP._serialized_start=1027
_TESTSTRINGMAP._serialized_end=1161
_TESTSTRINGMAP_STRINGMAPENTRY._serialized_start=1113
_TESTSTRINGMAP_STRINGMAPENTRY._serialized_end=1161
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_TESTSTRINGSERIALIZER._serialized_end=1360
_TESTSTRINGSERIALIZER_STRINGMAPENTRY._serialized_start=1113
_TESTSTRINGSERIALIZER_STRINGMAPENTRY._serialized_end=1161
_TESTMESSAGEWITHEXTENSION._serialized_start=1362
_TESTMESSAGEWITHEXTENSION._serialized_end=1398
_TESTEXTENSION._serialized_start=1400
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# @@protoc_insertion_point(module_scope)

129
resources/lib/deps/librespot/proto/google/protobuf/util/json_format_proto3_pb2.py
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42
resources/lib/deps/librespot/proto/google/protobuf/wrappers_pb2.py
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@ -1,42 +0,0 @@
# -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/protobuf/wrappers.proto
"""Generated protocol buffer code."""
from google.protobuf.internal import builder as _builder
from google.protobuf import descriptor as _descriptor
from google.protobuf import descriptor_pool as _descriptor_pool
from google.protobuf import symbol_database as _symbol_database
# @@protoc_insertion_point(imports)
_sym_db = _symbol_database.Default()
DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1egoogle/protobuf/wrappers.proto\x12\x0fgoogle.protobuf\"\x1c\n\x0b\x44oubleValue\x12\r\n\x05value\x18\x01 \x01(\x01\"\x1b\n\nFloatValue\x12\r\n\x05value\x18\x01 \x01(\x02\"\x1b\n\nInt64Value\x12\r\n\x05value\x18\x01 \x01(\x03\"\x1c\n\x0bUInt64Value\x12\r\n\x05value\x18\x01 \x01(\x04\"\x1b\n\nInt32Value\x12\r\n\x05value\x18\x01 \x01(\x05\"\x1c\n\x0bUInt32Value\x12\r\n\x05value\x18\x01 \x01(\r\"\x1a\n\tBoolValue\x12\r\n\x05value\x18\x01 \x01(\x08\"\x1c\n\x0bStringValue\x12\r\n\x05value\x18\x01 \x01(\t\"\x1b\n\nBytesValue\x12\r\n\x05value\x18\x01 \x01(\x0c\x42\x83\x01\n\x13\x63om.google.protobufB\rWrappersProtoP\x01Z1google.golang.org/protobuf/types/known/wrapperspb\xf8\x01\x01\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, globals())
_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.wrappers_pb2', globals())
if _descriptor._USE_C_DESCRIPTORS == False:
DESCRIPTOR._options = None
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# @@protoc_insertion_point(module_scope)