329 lines
6.7 KiB
Python
329 lines
6.7 KiB
Python
# Copyright 2016 Google Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Description:
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# Libraries for using TensorFlow with music and art.
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package(
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default_visibility = ["//magenta:__subpackages__"],
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)
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licenses(["notice"]) # Apache 2.0
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# The Magenta public API.
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py_library(
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name = "music",
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deps = [
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":constants",
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":melodies_lib",
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":midi_io",
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":note_sequence_io",
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":sequence_generator",
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":sequence_generator_bundle",
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":sequences_lib",
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":testing_lib",
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],
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)
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py_library(
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name = "chord_symbols_lib",
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srcs = ["chord_symbols_lib.py"],
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srcs_version = "PY2AND3",
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deps = [
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"@music21//:music21",
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# tensorflow dep
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],
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)
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py_test(
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name = "chord_symbols_lib_test",
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srcs = ["chord_symbols_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":chord_symbols_lib",
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# tensorflow dep
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],
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)
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py_library(
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name = "chords_lib",
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srcs = ["chords_lib.py"],
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srcs_version = "PY2AND3",
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deps = [
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":chord_symbols_lib",
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":constants",
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":events_lib",
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"//magenta/pipelines:statistics",
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"//magenta/protobuf:music_py_pb2",
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],
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)
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py_test(
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name = "chords_lib_test",
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srcs = ["chords_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":chord_symbols_lib",
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":chords_lib",
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":melodies_lib",
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":sequences_lib",
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":testing_lib",
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# tensorflow dep
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],
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)
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py_library(
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name = "constants",
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srcs = ["constants.py"],
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srcs_version = "PY2AND3",
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)
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py_library(
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name = "events_lib",
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srcs = ["events_lib.py"],
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srcs_version = "PY2AND3",
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deps = [
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":constants",
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"//magenta/common:sequence_example_lib",
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# numpy dep
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],
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)
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py_test(
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name = "events_lib_test",
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srcs = ["events_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":events_lib",
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# tensorflow dep
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],
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)
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py_library(
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name = "lead_sheets_lib",
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srcs = ["lead_sheets_lib.py"],
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srcs_version = "PY2AND3",
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deps = [
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":chords_lib",
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":constants",
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":events_lib",
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":melodies_lib",
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"//magenta/pipelines:statistics",
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"//magenta/protobuf:music_py_pb2",
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],
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)
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py_test(
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name = "lead_sheets_lib_test",
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srcs = ["lead_sheets_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":chords_lib",
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":constants",
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":lead_sheets_lib",
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":melodies_lib",
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":sequences_lib",
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":testing_lib",
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# tensorflow dep
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],
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)
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py_library(
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name = "melodies_lib",
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srcs = ["melodies_lib.py"],
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srcs_version = "PY2AND3",
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deps = [
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":constants",
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":events_lib",
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"//magenta/pipelines:statistics",
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"//magenta/protobuf:music_py_pb2",
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# numpy dep
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],
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)
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py_test(
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name = "melodies_lib_test",
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srcs = ["melodies_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":constants",
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":melodies_lib",
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":sequences_lib",
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":testing_lib",
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"//magenta/common:sequence_example_lib",
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# tensorflow dep
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],
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)
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py_library(
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name = "midi_io",
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srcs = ["midi_io.py"],
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srcs_version = "PY2AND3",
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deps = [
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"//magenta/protobuf:music_py_pb2",
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"@midi//:midi",
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"@pretty_midi//:pretty_midi",
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# tensorflow dep
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],
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)
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py_test(
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name = "midi_io_test",
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srcs = ["midi_io_test.py"],
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data = ["//magenta/testdata"],
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srcs_version = "PY2AND3",
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deps = [
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":midi_io",
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# tensorflow dep
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],
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)
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py_library(
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name = "note_sequence_io",
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srcs = ["note_sequence_io.py"],
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srcs_version = "PY2AND3",
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deps = [
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"//magenta/protobuf:music_py_pb2",
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# tensorflow dep
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],
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)
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py_test(
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name = "note_sequence_io_test",
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srcs = ["note_sequence_io_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":note_sequence_io",
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# tensorflow dep
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],
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)
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py_library(
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name = "sequences_lib",
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srcs = ["sequences_lib.py"],
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)
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py_test(
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name = "sequences_lib_test",
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srcs = ["sequences_lib_test.py"],
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srcs_version = "PY2AND3",
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deps = [
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":sequences_lib",
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":testing_lib",
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"//magenta/common:testing_lib",
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"//magenta/protobuf:music_py_pb2",
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# tensorflow dep
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],
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)
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py_library(
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name = "testing_lib",
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srcs = ["testing_lib.py"],
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deps = [
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":sequences_lib",
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"//magenta/protobuf:music_py_pb2",
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],
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)
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py_library(
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name = "sequence_generator_bundle",
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srcs = ["sequence_generator_bundle.py"],
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deps = [
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"@protobuf//:protobuf_python",
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"//magenta/protobuf:generator_py_pb2",
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# tensorflow dep
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],
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)
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py_library(
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name = "sequence_generator",
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srcs = ["sequence_generator.py"],
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deps = [
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"//magenta/protobuf:generator_py_pb2",
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# tensorflow dep
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],
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)
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py_test(
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name = "sequence_generator_test",
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srcs = ["sequence_generator_test.py"],
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deps = [
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":sequence_generator",
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"//magenta/protobuf:generator_py_pb2",
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# tensorflow dep
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],
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)
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py_library(
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name = "pretty_music21",
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srcs = ["pretty_music21.py"],
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deps = [
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"@music21//:music21",
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],
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)
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py_library(
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name = "music21_to_note_sequence_io",
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srcs = ["music21_to_note_sequence_io.py"],
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deps = [
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":pretty_music21",
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"//magenta/protobuf:music_py_pb2",
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],
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)
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py_library(
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name = "music_xml_io",
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srcs = ["music_xml_io.py"],
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deps = [
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":music21_to_note_sequence_io",
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],
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)
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py_test(
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name = "pretty_music21_test",
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size = "medium",
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srcs = ["pretty_music21_test.py"],
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deps = [
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":pretty_music21",
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"@music21//:music21",
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# tensorflow dep
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],
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)
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py_test(
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name = "music21_to_note_sequence_io_test",
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size = "small",
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srcs = ["music21_to_note_sequence_io_test.py"],
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data = [
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"testdata/bach-one_phrase-4_voices.xml",
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],
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deps = [
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":music21_to_note_sequence_io",
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# tensorflow dep
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],
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)
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py_test(
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name = "music_xml_io_test",
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size = "small",
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srcs = ["music_xml_io_test.py"],
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data = [
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"testdata/bach-one_phrase-4_voices.xml",
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],
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deps = [
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":music_xml_io",
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# tensorflow dep
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],
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)
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