# Path: nisaba/scripts/brahmic/util.py
# def BuildSigmaFstFromSymbolTable(syms: pynini.SymbolTableView) -> pynini.Fst:
# def OpenFstFromBrahmicFar(far_name: str, fst_name: str, *,
#                           token_type: str) -> pynini.Fst:
# def OpenFstFromBrahmicFarSafe(far_name: str, fst_name: str, token_type: str,
#                               default: pynini.Fst) -> pynini.Fst:
# def OpenSigma(script: str, *, token_type: str) -> pynini.Fst:
# def MaybeLoadScriptConfig(
#     file_path: os.PathLike) -> script_config_pb2.ScriptConfig:
# SCRIPTS = [
#     "Beng",
#     "Bugi",
#     "Deva",
#     "Gujr",
#     "Guru",
#     "Knda",
#     "Lepc",
#     "Limb",
#     "Mlym",
#     "Mtei",
#     "Newa",
#     "Orya",
#     "Sinh",
#     "Sylo",
#     "Takr",
#     "Taml",
#     "Telu",
#     "Tglg",
#     "Thaa",
#     "Tirh",
# ]
# LANG_SCRIPT_MAP = {
#     "Beng": ["as", "bn"]
# }
# FIXED_RULE_SCRIPTS = ["Mlym"]
# READING_NORM_SCRIPTS = ["Lepc", "Mlym"]
# READING_NORM_LANG_SCRIPT_MAP = {
#     "Deva": ["hi"],
# }
# FAR_DIR = pathlib.Path("com_google_nisaba/nisaba/scripts/brahmic")
# SCRIPT_DIR = FAR_DIR / "data"
# 
# Path: nisaba/scripts/utils/test_util.py
# NUM_TEST_SAMPLES = 5
# _MAX_SAMPLE_LENGTH = 5
# def _olabels_iter(f: pynini.Fst) -> Iterator[List[int]]:
# def _label_list_to_string_fsa(labels: List[int]) -> pynini.Fst:
# def assert_fst_functional(fst: pynini.Fst,
#                           token_type: pynini.TokenType,
#                           string_fsa: pynini.Fst) -> None:
# def verify_if_single_path(input_str_fsa: pynini.Fst, fst: pynini.Fst):
# def verify_identity(input_str_fsa: pynini.Fst, fst: pynini.Fst):
#   def assertFstCompliesWithProperties(
#       self, fst: pynini.Fst, expected_props: pynini.FstProperties) -> None:
#   def assertFstProbablyFunctional(self, fst: pynini.Fst,
#                                   token_type: pynini.TokenType,
#                                   samples: int) -> None:
#   def assertFstProbablyIdentity(self, fsts: List[pynini.Fst],
#                                 token_type: pynini.TokenType,
#                                 samples: int) -> None:
#   def _assert_fst_sampled_behavior(
#       self, fsts: List[pynini.Fst],
#       token_type: pynini.TokenType,
#       samples: int,
#       assert_function: Callable[[pynini.Fst, pynini.Fst], None]) -> None:
# class FstPropertiesTestCase(absltest.TestCase):
# class FstRandgenTestCase(absltest.TestCase):


import itertools
from absl.testing import absltest
from absl.testing import parameterized
from nisaba.scripts.brahmic import util as u
from nisaba.scripts.utils import test_util
# Copyright 2022 Nisaba Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


"""Tests that the sigma FST has the expected set of FST properties."""




class FstRandgenTest(parameterized.TestCase, test_util.FstRandgenTestCase):

  @parameterized.parameters(
      itertools.product(u.SCRIPTS + ['brahmic'], ('byte', 'utf8')))
  def test_nfc(self, script: str, token_type: str):

# Path: nisaba/scripts/brahmic/util.py
# def BuildSigmaFstFromSymbolTable(syms: pynini.SymbolTableView) -> pynini.Fst:
# def OpenFstFromBrahmicFar(far_name: str, fst_name: str, *,
#                           token_type: str) -> pynini.Fst:
# def OpenFstFromBrahmicFarSafe(far_name: str, fst_name: str, token_type: str,
#                               default: pynini.Fst) -> pynini.Fst:
# def OpenSigma(script: str, *, token_type: str) -> pynini.Fst:
# def MaybeLoadScriptConfig(
#     file_path: os.PathLike) -> script_config_pb2.ScriptConfig:
# SCRIPTS = [
#     "Beng",
#     "Bugi",
#     "Deva",
#     "Gujr",
#     "Guru",
#     "Knda",
#     "Lepc",
#     "Limb",
#     "Mlym",
#     "Mtei",
#     "Newa",
#     "Orya",
#     "Sinh",
#     "Sylo",
#     "Takr",
#     "Taml",
#     "Telu",
#     "Tglg",
#     "Thaa",
#     "Tirh",
# ]
# LANG_SCRIPT_MAP = {
#     "Beng": ["as", "bn"]
# }
# FIXED_RULE_SCRIPTS = ["Mlym"]
# READING_NORM_SCRIPTS = ["Lepc", "Mlym"]
# READING_NORM_LANG_SCRIPT_MAP = {
#     "Deva": ["hi"],
# }
# FAR_DIR = pathlib.Path("com_google_nisaba/nisaba/scripts/brahmic")
# SCRIPT_DIR = FAR_DIR / "data"
# 
# Path: nisaba/scripts/utils/test_util.py
# NUM_TEST_SAMPLES = 5
# _MAX_SAMPLE_LENGTH = 5
# def _olabels_iter(f: pynini.Fst) -> Iterator[List[int]]:
# def _label_list_to_string_fsa(labels: List[int]) -> pynini.Fst:
# def assert_fst_functional(fst: pynini.Fst,
#                           token_type: pynini.TokenType,
#                           string_fsa: pynini.Fst) -> None:
# def verify_if_single_path(input_str_fsa: pynini.Fst, fst: pynini.Fst):
# def verify_identity(input_str_fsa: pynini.Fst, fst: pynini.Fst):
#   def assertFstCompliesWithProperties(
#       self, fst: pynini.Fst, expected_props: pynini.FstProperties) -> None:
#   def assertFstProbablyFunctional(self, fst: pynini.Fst,
#                                   token_type: pynini.TokenType,
#                                   samples: int) -> None:
#   def assertFstProbablyIdentity(self, fsts: List[pynini.Fst],
#                                 token_type: pynini.TokenType,
#                                 samples: int) -> None:
#   def _assert_fst_sampled_behavior(
#       self, fsts: List[pynini.Fst],
#       token_type: pynini.TokenType,
#       samples: int,
#       assert_function: Callable[[pynini.Fst, pynini.Fst], None]) -> None:
# class FstPropertiesTestCase(absltest.TestCase):
# class FstRandgenTestCase(absltest.TestCase):


# Path: nisaba/scripts/brahmic/randgen_test.py
import itertools
from absl.testing import absltest
from absl.testing import parameterized
from nisaba.scripts.brahmic import util as u
from nisaba.scripts.utils import test_util

# Copyright 2022 Nisaba Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.


"""Tests that the sigma FST has the expected set of FST properties."""




class FstRandgenTest(parameterized.TestCase, test_util.FstRandgenTestCase):

  @parameterized.parameters(
      itertools.product(u.SCRIPTS + ['brahmic'], ('byte', 'utf8')))
  def test_nfc(self, script: str, token_type: str):

    fst = u.OpenFstFromBrahmicFar('nfc', script, token_type=token_type)