'''simple docstring'''




import os

try:
  from .build_directory_md import good_file_paths
except ImportError:
  from build_directory_md import good_file_paths  # type: ignore

__UpperCAmelCase     							=list(good_file_paths())
assert filepaths, "good_file_paths() failed!"

__UpperCAmelCase     							=[file for file in filepaths if file != file.lower()]
if upper_files:
  print(f'{len(upper_files)} files contain uppercase characters:')
  print("\n".join(upper_files) + "\n")

__UpperCAmelCase     							=[file for file in filepaths if " " in file]
if space_files:
  print(f'{len(space_files)} files contain space characters:')
  print("\n".join(space_files) + "\n")

__UpperCAmelCase     							=[file for file in filepaths if "-" in file]
if hyphen_files:
  print(f'{len(hyphen_files)} files contain hyphen characters:')
  print("\n".join(hyphen_files) + "\n")

__UpperCAmelCase     							=[file for file in filepaths if os.sep not in file]
if nodir_files:
  print(f'{len(nodir_files)} files are not in a directory:')
  print("\n".join(nodir_files) + "\n")

__UpperCAmelCase     							=len(upper_files + space_files + hyphen_files + nodir_files)
if bad_files:
  import sys

  sys.exit(bad_files)







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE_						   =       {
    """configuration_llama""": ["""LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """LlamaConfig"""],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE_						   =       ["""LlamaTokenizer"""]

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE_						   =       ["""LlamaTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE_						   =       [
          """LlamaForCausalLM""",
          """LlamaModel""",
          """LlamaPreTrainedModel""",
          """LlamaForSequenceClassification""",
      ]


if TYPE_CHECKING:
      from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_llama import LlamaTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_llama_fast import LlamaTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
      import sys

      SCREAMING_SNAKE_CASE_						   =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


