



"""simple docstring"""





import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


lowerCamelCase      =		(
    """https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"""
)


lowerCamelCase      =		logging.get_logger(__name__)  # pylint: disable=invalid-name
def      a__			(   ):
      UpperCAmelCase_    				=							"https://pypi.org/pypi/diffusers/json"
      UpperCAmelCase_    				=							json.loads(request.urlopen(lowerCAmelCase__   ).read()   )["releases"].keys()
      return sorted(lowerCAmelCase__			,    key=lambda lowerCAmelCase__   : version.Version(lowerCAmelCase__   )   )
def      a__			(   ):
      # This function has already been executed if HF_MODULES_CACHE already is in the Python path.
      if HF_MODULES_CACHE in sys.path:
            return

      sys.path.append(lowerCAmelCase__   )
      os.makedirs(lowerCAmelCase__			,    exist_ok=lowerCAmelCase__   )
      UpperCAmelCase_    				=							Path(lowerCAmelCase__   ) / "__init__.py"
      if not init_path.exists():
            init_path.touch()
def      a__			(   lowerCAmelCase__   ):
      init_hf_modules()
      UpperCAmelCase_    				=							Path(lowerCAmelCase__   ) / name
      # If the parent module does not exist yet, recursively create it.
      if not dynamic_module_path.parent.exists():
            create_dynamic_module(dynamic_module_path.parent   )
      os.makedirs(lowerCAmelCase__			,    exist_ok=lowerCAmelCase__   )
      UpperCAmelCase_    				=							dynamic_module_path / "__init__.py"
      if not init_path.exists():
            init_path.touch()
def      a__			(   lowerCAmelCase__   ):
      with open(lowerCAmelCase__			,    "r"			,    encoding="utf-8"   ) as f:
            UpperCAmelCase_    				=							f.read()

      # Imports of the form `import .xxx`
      UpperCAmelCase_    				=							re.findall("^\s*import\s+\.(\S+)\s*$"			,    lowerCAmelCase__			,    flags=re.MULTILINE   )
      # Imports of the form `from .xxx import yyy`
      relative_imports += re.findall("^\s*from\s+\.(\S+)\s+import"			,    lowerCAmelCase__			,    flags=re.MULTILINE   )
      # Unique-ify
      return list(set(lowerCAmelCase__   )   )
def      a__			(   lowerCAmelCase__   ):
      UpperCAmelCase_    				=							False
      UpperCAmelCase_    				=							[module_file]
      UpperCAmelCase_    				=							[]

      # Let's recurse through all relative imports
      while not no_change:
            UpperCAmelCase_    				=							[]
            for f in files_to_check:
                  new_imports.extend(get_relative_imports(lowerCAmelCase__   )   )

            UpperCAmelCase_    				=							Path(lowerCAmelCase__   ).parent
            UpperCAmelCase_    				=							[str(module_path / m   ) for m in new_imports]
            UpperCAmelCase_    				=							[f for f in new_import_files if f not in all_relative_imports]
            UpperCAmelCase_    				=							[f"""{f}.py""" for f in new_import_files]

            UpperCAmelCase_    				=							len(lowerCAmelCase__   ) == 0
            all_relative_imports.extend(lowerCAmelCase__   )

      return all_relative_imports
def      a__			(   lowerCAmelCase__   ):
      with open(lowerCAmelCase__			,    "r"			,    encoding="utf-8"   ) as f:
            UpperCAmelCase_    				=							f.read()

      # Imports of the form `import xxx`
      UpperCAmelCase_    				=							re.findall("^\s*import\s+(\S+)\s*$"			,    lowerCAmelCase__			,    flags=re.MULTILINE   )
      # Imports of the form `from xxx import yyy`
      imports += re.findall("^\s*from\s+(\S+)\s+import"			,    lowerCAmelCase__			,    flags=re.MULTILINE   )
      # Only keep the top-level module
      UpperCAmelCase_    				=							[imp.split("."   )[0] for imp in imports if not imp.startswith("."   )]

      # Unique-ify and test we got them all
      UpperCAmelCase_    				=							list(set(lowerCAmelCase__   )   )
      UpperCAmelCase_    				=							[]
      for imp in imports:
            try:
                  importlib.import_module(lowerCAmelCase__   )
            except ImportError:
                  missing_packages.append(lowerCAmelCase__   )

      if len(lowerCAmelCase__   ) > 0:
            raise ImportError(
                "This modeling file requires the following packages that were not found in your environment: "
                f"""{', '.join(lowerCAmelCase__   )}. Run `pip install {' '.join(lowerCAmelCase__   )}`"""   )

      return get_relative_imports(lowerCAmelCase__   )
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							module_path.replace(os.path.sep			,    "."   )
      UpperCAmelCase_    				=							importlib.import_module(lowerCAmelCase__   )

      if class_name is None:
            return find_pipeline_class(lowerCAmelCase__   )
      return getattr(lowerCAmelCase__			,    lowerCAmelCase__   )
def      a__			(   lowerCAmelCase__   ):
      from ..pipelines import DiffusionPipeline

      UpperCAmelCase_    				=							dict(inspect.getmembers(lowerCAmelCase__			,    inspect.isclass   )   )

      UpperCAmelCase_    				=							None
      for cls_name, cls in cls_members.items():
            if (
                cls_name != DiffusionPipeline.__name__
                and issubclass(cls			,    lowerCAmelCase__   )
                and cls.__module__.split("."   )[0] != "diffusers"
            ):
                  if pipeline_class is not None:
                        raise ValueError(
                            f"""Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:"""
                            f""" {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in"""
                            f""" {loaded_module}."""   )
                  UpperCAmelCase_    				=							cls

      return pipeline_class
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = False			,    lowerCAmelCase__ = False			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = False			,    ):
      UpperCAmelCase_    				=							str(lowerCAmelCase__   )

      UpperCAmelCase_    				=							os.path.join(lowerCAmelCase__			,    lowerCAmelCase__   )

      if os.path.isfile(lowerCAmelCase__   ):
            UpperCAmelCase_    				=							module_file_or_url
            UpperCAmelCase_    				=							"local"
      elif pretrained_model_name_or_path.count("/"   ) == 0:
            UpperCAmelCase_    				=							get_diffusers_versions()
            # cut ".dev0"
            UpperCAmelCase_    				=							"v" + ".".join(__version__.split("."   )[:3]   )

            # retrieve github version that matches
            if revision is None:
                  UpperCAmelCase_    				=							latest_version if latest_version[1:] in available_versions else "main"
                  logger.info(f"""Defaulting to latest_version: {revision}."""   )
            elif revision in available_versions:
                  UpperCAmelCase_    				=							f"""v{revision}"""
            elif revision == "main":
                  UpperCAmelCase_    				=							revision
            else:
                  raise ValueError(
                      f"""`custom_revision`: {revision} does not exist. Please make sure to choose one of"""
                      f""" {', '.join(available_versions + ['main']   )}."""   )

            # community pipeline on GitHub
            UpperCAmelCase_    				=							COMMUNITY_PIPELINES_URL.format(revision=lowerCAmelCase__			,    pipeline=lowerCAmelCase__   )
            try:
                  UpperCAmelCase_    				=							cached_download(
                      lowerCAmelCase__			,    cache_dir=lowerCAmelCase__			,    force_download=lowerCAmelCase__			,    proxies=lowerCAmelCase__			,    resume_download=lowerCAmelCase__			,    local_files_only=lowerCAmelCase__			,    use_auth_token=lowerCAmelCase__			,    )
                  UpperCAmelCase_    				=							"git"
                  UpperCAmelCase_    				=							pretrained_model_name_or_path + ".py"
            except EnvironmentError:
                  logger.error(f"""Could not locate the {module_file} inside {pretrained_model_name_or_path}."""   )
                  raise
      else:
            try:
                  # Load from URL or cache if already cached
                  UpperCAmelCase_    				=							hf_hub_download(
                      lowerCAmelCase__			,    lowerCAmelCase__			,    cache_dir=lowerCAmelCase__			,    force_download=lowerCAmelCase__			,    proxies=lowerCAmelCase__			,    resume_download=lowerCAmelCase__			,    local_files_only=lowerCAmelCase__			,    use_auth_token=lowerCAmelCase__			,    )
                  UpperCAmelCase_    				=							os.path.join("local"			,    "--".join(pretrained_model_name_or_path.split("/"   )   )   )
            except EnvironmentError:
                  logger.error(f"""Could not locate the {module_file} inside {pretrained_model_name_or_path}."""   )
                  raise

    # Check we have all the requirements in our environment
      UpperCAmelCase_    				=							check_imports(lowerCAmelCase__   )

      # Now we move the module inside our cached dynamic modules.
      UpperCAmelCase_    				=							DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
      create_dynamic_module(lowerCAmelCase__   )
      UpperCAmelCase_    				=							Path(lowerCAmelCase__   ) / full_submodule
      if submodule == "local" or submodule == "git":
            # We always copy local files (we could hash the file to see if there was a change, and give them the name of
            # that hash, to only copy when there is a modification but it seems overkill for now).
            # The only reason we do the copy is to avoid putting too many folders in sys.path.
            shutil.copy(lowerCAmelCase__			,    submodule_path / module_file   )
            for module_needed in modules_needed:
                  UpperCAmelCase_    				=							f"""{module_needed}.py"""
                  shutil.copy(os.path.join(lowerCAmelCase__			,    lowerCAmelCase__   )			,    submodule_path / module_needed   )
      else:
            # Get the commit hash
            # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
            if isinstance(lowerCAmelCase__			,    lowerCAmelCase__   ):
                  UpperCAmelCase_    				=							use_auth_token
            elif use_auth_token is True:
                  UpperCAmelCase_    				=							HfFolder.get_token()
            else:
                  UpperCAmelCase_    				=							None

            UpperCAmelCase_    				=							model_info(lowerCAmelCase__			,    revision=lowerCAmelCase__			,    token=lowerCAmelCase__   ).sha

            # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
            # benefit of versioning.
            UpperCAmelCase_    				=							submodule_path / commit_hash
            UpperCAmelCase_    				=							full_submodule + os.path.sep + commit_hash
            create_dynamic_module(lowerCAmelCase__   )

            if not (submodule_path / module_file).exists():
                  shutil.copy(lowerCAmelCase__			,    submodule_path / module_file   )
            # Make sure we also have every file with relative
            for module_needed in modules_needed:
                  if not (submodule_path / module_needed).exists():
                        get_cached_module_file(
                            lowerCAmelCase__			,    f"""{module_needed}.py"""			,    cache_dir=lowerCAmelCase__			,    force_download=lowerCAmelCase__			,    resume_download=lowerCAmelCase__			,    proxies=lowerCAmelCase__			,    use_auth_token=lowerCAmelCase__			,    revision=lowerCAmelCase__			,    local_files_only=lowerCAmelCase__			,    )
      return os.path.join(lowerCAmelCase__			,    lowerCAmelCase__   )


def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = False			,    lowerCAmelCase__ = False			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = None			,    lowerCAmelCase__ = False			,    **lowerCAmelCase__			,    ):
      UpperCAmelCase_    				=							get_cached_module_file(
          lowerCAmelCase__			,    lowerCAmelCase__			,    cache_dir=lowerCAmelCase__			,    force_download=lowerCAmelCase__			,    resume_download=lowerCAmelCase__			,    proxies=lowerCAmelCase__			,    use_auth_token=lowerCAmelCase__			,    revision=lowerCAmelCase__			,    local_files_only=lowerCAmelCase__			,    )
      return get_class_in_module(lowerCAmelCase__			,    final_module.replace(".py"			,    ""   )   )









"""simple docstring"""





import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase      =		get_tests_dir("""fixtures/test_sentencepiece.model""")
@require_sentencepiece
class    lowercase__     (					SCREAMING_SNAKE_CASE       ,      unittest.TestCase   ):







       '''simple docstring'''


       UpperCamelCase		=  XLMProphetNetTokenizer
       UpperCamelCase		=  False
       UpperCamelCase		=  True



       def   lowercase__       (							self    :						Union[str, Any]					)				->		Any:


             '''simple docstring'''




             super().setUp()

             # We have a SentencePiece fixture for testing
             UpperCAmelCase_    				=							XLMProphetNetTokenizer(_UpperCAmelCase	,       keep_accents=_UpperCAmelCase					)
             tokenizer.save_pretrained(self.tmpdirname					)



       def   lowercase__       (							self    :						Tuple					)				->		int:


             '''simple docstring'''




             UpperCAmelCase_    				=							"[PAD]"
             UpperCAmelCase_    				=							0

             self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase					)	,       _UpperCAmelCase					)
             self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase					)	,       _UpperCAmelCase					)



       def   lowercase__       (							self    :						Dict					)				->		int:


             '''simple docstring'''




             UpperCAmelCase_    				=							list(self.get_tokenizer().get_vocab().keys()					)

             self.assertEqual(vocab_keys[0]	,       "[PAD]"					)
             self.assertEqual(vocab_keys[1]	,       "[CLS]"					)
             self.assertEqual(vocab_keys[-1]	,       "j"					)
             self.assertEqual(len(_UpperCAmelCase					)	,       1012					)



       def   lowercase__       (							self    :						Union[str, Any]					)				->		Optional[Any]:


             '''simple docstring'''




             self.assertEqual(self.get_tokenizer().vocab_size	,       1012					)



       def   lowercase__       (							self    :						Tuple					)				->		Union[str, Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							XLMProphetNetTokenizer(_UpperCAmelCase	,       keep_accents=_UpperCAmelCase					)

             UpperCAmelCase_    				=							tokenizer.tokenize("This is a test"					)
             self.assertListEqual(_UpperCAmelCase	,       ["▁This", "▁is", "▁a", "▁t", "est"]					)

             self.assertListEqual(
                 tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)	,       [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]	,       )

             UpperCAmelCase_    				=							tokenizer.tokenize("I was born in 92000, and this is falsé."					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [
                     SPIECE_UNDERLINE + "I",
                     SPIECE_UNDERLINE + "was",
                     SPIECE_UNDERLINE + "b",
                     "or",
                     "n",
                     SPIECE_UNDERLINE + "in",
                     SPIECE_UNDERLINE + "",
                     "9",
                     "2",
                     "0",
                     "0",
                     "0",
                     ",",
                     SPIECE_UNDERLINE + "and",
                     SPIECE_UNDERLINE + "this",
                     SPIECE_UNDERLINE + "is",
                     SPIECE_UNDERLINE + "f",
                     "al",
                     "s",
                     "é",
                     ".",
                 ]	,       )
             UpperCAmelCase_    				=							tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [
                     value + tokenizer.fairseq_offset
                     for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
                 ]	,       )

             UpperCAmelCase_    				=							tokenizer.convert_ids_to_tokens(_UpperCAmelCase					)
             self.assertListEqual(
                 _UpperCAmelCase	,       [
                     SPIECE_UNDERLINE + "I",
                     SPIECE_UNDERLINE + "was",
                     SPIECE_UNDERLINE + "b",
                     "or",
                     "n",
                     SPIECE_UNDERLINE + "in",
                     SPIECE_UNDERLINE + "",
                     "[UNK]",
                     "2",
                     "0",
                     "0",
                     "0",
                     ",",
                     SPIECE_UNDERLINE + "and",
                     SPIECE_UNDERLINE + "this",
                     SPIECE_UNDERLINE + "is",
                     SPIECE_UNDERLINE + "f",
                     "al",
                     "s",
                     "[UNK]",
                     ".",
                 ]	,       )



       @cached_property
       def   lowercase__       (							self    :						Union[str, Any]					)				->		Optional[Any]:


             '''simple docstring'''




             return XLMProphetNetTokenizer.from_pretrained("microsoft/xprophetnet-large-wiki100-cased"					)



       @slow
       def   lowercase__       (							self    :						List[Any]					)				->		int:


             '''simple docstring'''




             UpperCAmelCase_    				=							"Hello World!"
             UpperCAmelCase_    				=							[35389, 6672, 49, 2]
             self.assertListEqual(_UpperCAmelCase	,       self.big_tokenizer.encode(_UpperCAmelCase					)					)







       @slow
       def   lowercase__       (							self    :						Optional[int]					)				->		Optional[int]:


             '''simple docstring'''




             UpperCAmelCase_    				=							{"input_ids": [[11073, 82783, 18, 26, 82783, 549, 51540, 248, 17209, 1301, 217, 20, 215186, 1325, 147, 17209, 1301, 217, 20, 56370, 53, 122020, 20, 16477, 27, 87355, 4548, 20, 4728, 78392, 17, 159969, 18, 26, 24491, 629, 15, 538, 22704, 5439, 15, 2788, 24491, 9885, 15, 43534, 605, 15, 814, 18403, 33200, 29, 15, 43534, 24458, 12410, 111, 24966, 83669, 9637, 144068, 26, 850, 22346, 27, 147, 24966, 83669, 83490, 26, 39113, 735, 27, 689, 656, 2800, 1339, 4600, 53, 122020, 115785, 34, 816, 1339, 46887, 18, 147, 53905, 1951, 42238, 41170, 17732, 834, 436, 15, 27523, 98733, 217, 147, 5542, 4981, 930, 17347, 16, 2], [20091, 629, 94, 82786, 58, 490, 20, 1528, 84, 53905, 344, 80592, 110128, 18822, 5267, 1306, 62, 152537, 308, 7997, 401, 124427, 549, 35442, 225, 109, 15055, 25748, 147, 7119, 43712, 34, 767, 135366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63784, 119466, 17, 147808, 88214, 18, 656, 81, 32, 3296, 10280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
             # fmt: on

             self.tokenizer_integration_test_util(
                 expected_encoding=_UpperCAmelCase	,       model_name="microsoft/xprophetnet-large-wiki100-cased"	,       revision="1acad1643ddd54a44df6a1b797ada8373685d90e"	,       )




