# 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/file.py
# EMPTY: pynini.Fst = pynini.intersect(pynini.accep("a"), pynini.accep("b"))
# EPSILON: pynini.Fst = pynini.accep("")
# def AsResourcePath(filename: os.PathLike) -> os.PathLike:
# def IsFileExist(filename: os.PathLike) -> bool:
# def OnEmpty(fst, return_if_empty=EMPTY):
# def StringFile(filename: os.PathLike,
#                return_if_empty: pynini.Fst = EMPTY) -> pynini.Fst:
# def QuesSafe(fst: pynini.Fst) -> pynini.Fst:
# def StarSafe(fst: pynini.Fst) -> pynini.Fst:
# def OpenFstFromFar(far_dir: pathlib.Path, far_name: str,
#                    token_type: str, fst_name: str) -> pynini.Fst:
# def OpenFstFromFarSafe(
#     far_dir: pathlib.Path, far_name: str, token_type: str, fst_name: str,
#     default: pynini.Fst) -> pynini.Fst:
# 
# 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
import pynini
from absl.testing import absltest
from absl.testing import parameterized
from nisaba.scripts.brahmic import util as u
from nisaba.scripts.utils import file
from nisaba.scripts.utils import test_util


"""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)
    self.assertFstProbablyFunctional(fst, token_type=token_type, samples=1e6)

  @parameterized.parameters(itertools.product(u.SCRIPTS, ('byte', 'utf8')))
  def test_visual_norm(self, script: str, token_type: str):
    fst = u.OpenFstFromBrahmicFar('visual_norm', script, token_type=token_type)
    self.assertFstProbablyFunctional(fst, token_type=token_type,
                                     samples=test_util.NUM_TEST_SAMPLES)

  @parameterized.parameters(u.SCRIPTS)
  def test_iso_roundtrip(self, tag: str):
    tag = tag.upper()
    far_path = u.FAR_DIR / 'iso.far'
    with pynini.Far(file.AsResourcePath(far_path), 'r') as far:
      natv_to_iso = far[f'FROM_{tag}']
      iso_to_natv = far[f'TO_{tag}']
      self.assertFstProbablyIdentity([natv_to_iso, iso_to_natv],
                                     token_type='byte',

# 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/file.py
# EMPTY: pynini.Fst = pynini.intersect(pynini.accep("a"), pynini.accep("b"))
# EPSILON: pynini.Fst = pynini.accep("")
# def AsResourcePath(filename: os.PathLike) -> os.PathLike:
# def IsFileExist(filename: os.PathLike) -> bool:
# def OnEmpty(fst, return_if_empty=EMPTY):
# def StringFile(filename: os.PathLike,
#                return_if_empty: pynini.Fst = EMPTY) -> pynini.Fst:
# def QuesSafe(fst: pynini.Fst) -> pynini.Fst:
# def StarSafe(fst: pynini.Fst) -> pynini.Fst:
# def OpenFstFromFar(far_dir: pathlib.Path, far_name: str,
#                    token_type: str, fst_name: str) -> pynini.Fst:
# def OpenFstFromFarSafe(
#     far_dir: pathlib.Path, far_name: str, token_type: str, fst_name: str,
#     default: pynini.Fst) -> pynini.Fst:
# 
# 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/fst_randgen_test.py
import itertools
import pynini
from absl.testing import absltest
from absl.testing import parameterized
from nisaba.scripts.brahmic import util as u
from nisaba.scripts.utils import file
from nisaba.scripts.utils import test_util



"""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)
    self.assertFstProbablyFunctional(fst, token_type=token_type, samples=1e6)

  @parameterized.parameters(itertools.product(u.SCRIPTS, ('byte', 'utf8')))
  def test_visual_norm(self, script: str, token_type: str):
    fst = u.OpenFstFromBrahmicFar('visual_norm', script, token_type=token_type)
    self.assertFstProbablyFunctional(fst, token_type=token_type,
                                     samples=test_util.NUM_TEST_SAMPLES)

  @parameterized.parameters(u.SCRIPTS)
  def test_iso_roundtrip(self, tag: str):
    tag = tag.upper()
    far_path = u.FAR_DIR / 'iso.far'
    with pynini.Far(file.AsResourcePath(far_path), 'r') as far:
      natv_to_iso = far[f'FROM_{tag}']
      iso_to_natv = far[f'TO_{tag}']
      self.assertFstProbablyIdentity([natv_to_iso, iso_to_natv],
                                     token_type='byte',

                                     samples=test_util.NUM_TEST_SAMPLES)