# Path: turkish_morphology/analyze.py
# def _remove_proper_feature(human_readable: str) -> str:
# def surface_form(surface_form: str,
#                  use_proper_feature: Optional[bool] = True) -> List[str]:
# 
# Path: turkish_morphology/decompose.py
# _AFFIX_REGEX = re.compile(
#     # Derivation or inflection delimiter.
#     r"[\+-]"
#     # Meta-morpheme.
#     r"(?P<meta_morpheme>(?:[^\W\d_]|['\.])*?)"
#     # Feature category-value.
#     r"\[(?P<category>[A-z]+?)=(?P<value>[A-z0-9]+?)\]")
# _IG_REGEX = re.compile(
#     # Beginning of an inflectional group.
#     r"\("
#     r"(?:"
#     # Root form in first inflectional group.
#     r"(?P<root>.+?)"
#     # Part-of-speech tag of the first inflectional group.
#     r"\[(?P<root_pos>[A-Z\.,:\(\)\'\-\"`\$]+?)\]"
#     r"|"
#     # Part-of-speech tag of the derived inflectional group.
#     r"\[(?P<derivation_pos>[A-Z\.,:\(\)\'\-\"`\$]+?)\]"
#     # Derivational morpheme and feature.
#     r"(?P<derivation>-(?:[^\W\d_]|')+?\[[A-z]+?=[A-z]+?\])?"
#     r")"
#     # Inflectional morphemes and features.
#     r"(?P<inflections>(?:\+(?:[^\W\d_]|['\.])*?\[[A-z]+?=[A-z0-9]+?\])*)"
#     # End of an inflectional group.
#     r"\)"
#     # Optional Proper feature analysis.
#     r"(?:\+\[Proper=(?P<proper>True|False)\])?")
# class IllformedHumanReadableAnalysisError(Exception):
# def _make_affix(human_readable: str) -> List[_Affix]:
# def human_readable_analysis(human_readable: str) -> _Analysis:


import dataclasses
import glob
import itertools
import multiprocessing
from typing import Generator, Iterable, List, Tuple, Sequence, Set
from turkish_morphology import analyze
from turkish_morphology import decompose
from absl import app
from absl import flags
from absl import logging
  else:
    avg_analysis_with_proper = 0
    avg_analysis_without_proper = 0
    avg_ig_with_proper = 0
    avg_ig_without_proper = 0

  if statistics.unparsed:
    failures = "\n      ".join(u for u in sorted(statistics.unparsed))
  else:
    failures = "N\\A"

  return f"""
  +++++ OVERALL +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

      Total number of tokens: {token_count}
      Number of unique word forms (after case-folding): {form_count}
      Number of success (word forms that can be parsed): {success}
      Number of failure (word forms that cannot be parsed): {failure}
      Coverage (%): {coverage}

  +++++ STATS WITH PROPER FEATURE +++++++++++++++++++++++++++++++++++++++++++++

      Total number of analysis generated: {analysis_with_proper}
      Avg. number of analysis per word form: {avg_analysis_with_proper}
      Total number of IGs generated: {ig_with_proper}
      Avg. number of IGs per analysis: {avg_ig_with_proper}

  +++++ STATS WITHOUT PROPER FEATURE ++++++++++++++++++++++++++++++++++++++++++

      Total number of analysis generated: {analysis_without_proper}

# Path: turkish_morphology/analyze.py
# def _remove_proper_feature(human_readable: str) -> str:
# def surface_form(surface_form: str,
#                  use_proper_feature: Optional[bool] = True) -> List[str]:
# 
# Path: turkish_morphology/decompose.py
# _AFFIX_REGEX = re.compile(
#     # Derivation or inflection delimiter.
#     r"[\+-]"
#     # Meta-morpheme.
#     r"(?P<meta_morpheme>(?:[^\W\d_]|['\.])*?)"
#     # Feature category-value.
#     r"\[(?P<category>[A-z]+?)=(?P<value>[A-z0-9]+?)\]")
# _IG_REGEX = re.compile(
#     # Beginning of an inflectional group.
#     r"\("
#     r"(?:"
#     # Root form in first inflectional group.
#     r"(?P<root>.+?)"
#     # Part-of-speech tag of the first inflectional group.
#     r"\[(?P<root_pos>[A-Z\.,:\(\)\'\-\"`\$]+?)\]"
#     r"|"
#     # Part-of-speech tag of the derived inflectional group.
#     r"\[(?P<derivation_pos>[A-Z\.,:\(\)\'\-\"`\$]+?)\]"
#     # Derivational morpheme and feature.
#     r"(?P<derivation>-(?:[^\W\d_]|')+?\[[A-z]+?=[A-z]+?\])?"
#     r")"
#     # Inflectional morphemes and features.
#     r"(?P<inflections>(?:\+(?:[^\W\d_]|['\.])*?\[[A-z]+?=[A-z0-9]+?\])*)"
#     # End of an inflectional group.
#     r"\)"
#     # Optional Proper feature analysis.
#     r"(?:\+\[Proper=(?P<proper>True|False)\])?")
# class IllformedHumanReadableAnalysisError(Exception):
# def _make_affix(human_readable: str) -> List[_Affix]:
# def human_readable_analysis(human_readable: str) -> _Analysis:


# Path: scripts/evaluate_analyzer.py
import dataclasses
import glob
import itertools
import multiprocessing
from typing import Generator, Iterable, List, Tuple, Sequence, Set
from turkish_morphology import analyze
from turkish_morphology import decompose
from absl import app
from absl import flags
from absl import logging

  else:
    avg_analysis_with_proper = 0
    avg_analysis_without_proper = 0
    avg_ig_with_proper = 0
    avg_ig_without_proper = 0

  if statistics.unparsed:
    failures = "\n      ".join(u for u in sorted(statistics.unparsed))
  else:
    failures = "N\\A"

  return f"""
  +++++ OVERALL +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

      Total number of tokens: {token_count}
      Number of unique word forms (after case-folding): {form_count}
      Number of success (word forms that can be parsed): {success}
      Number of failure (word forms that cannot be parsed): {failure}
      Coverage (%): {coverage}

  +++++ STATS WITH PROPER FEATURE +++++++++++++++++++++++++++++++++++++++++++++

      Total number of analysis generated: {analysis_with_proper}
      Avg. number of analysis per word form: {avg_analysis_with_proper}
      Total number of IGs generated: {ig_with_proper}
      Avg. number of IGs per analysis: {avg_ig_with_proper}

  +++++ STATS WITHOUT PROPER FEATURE ++++++++++++++++++++++++++++++++++++++++++

      Total number of analysis generated: {analysis_without_proper}

      Avg. number of analysis per word form: {avg_analysis_without_proper}