




"""simple docstring"""







import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing




class       lowerCAmelCase__       (			lowerCAmelCase_    ):


				"""simple docstring"""





				def __init__(     self					:	str    ,   lowercase__					:	str = "▁"    ,   lowercase__					:	bool = True    ,   lowercase__					:	Union[str, AddedToken] = "<unk>"    ,   lowercase__					:	Union[str, AddedToken] = "</s>"    ,   lowercase__					:	Union[str, AddedToken] = "<pad>"    ,   ):
						__lowercase				:		List[Any]												=				{
						    "pad": {"id": 0, "token": pad_token},
						    "eos": {"id": 1, "token": eos_token},
						    "unk": {"id": 2, "token": unk_token},
						}

						__lowercase				:		Optional[Any]												=				[None] * len(self.special_tokens						)
						for token_dict in self.special_tokens.values():
								__lowercase				:		Dict												=				token_dict["token"]

						__lowercase				:		Optional[Any]												=				Tokenizer(Unigram()						)

						__lowercase				:		int												=				normalizers.Sequence(
						    [
						        normalizers.Nmt(),
						        normalizers.NFKC(),
						        normalizers.Replace(Regex(" {2,}"						)    ,   " "						),
						        normalizers.Lowercase(),
						    ]						)
						__lowercase				:		int												=				pre_tokenizers.Sequence(
						    [
						        pre_tokenizers.Metaspace(replacement=lowercase__    ,   add_prefix_space=lowercase__						),
						        pre_tokenizers.Digits(individual_digits=lowercase__						),
						        pre_tokenizers.Punctuation(),
						    ]						)
						__lowercase				:		str												=				decoders.Metaspace(replacement=lowercase__    ,   add_prefix_space=lowercase__						)

						__lowercase				:		Optional[Any]												=				TemplateProcessing(
						    single=f'$A {self.special_tokens["eos"]["token"]}'    ,   special_tokens=[(self.special_tokens["eos"]["token"], self.special_tokens["eos"]["id"])]    ,   )

						__lowercase				:		Optional[Any]												=				{
						    "model": "SentencePieceUnigram",
						    "replacement": replacement,
						    "add_prefix_space": add_prefix_space,
						}

						super().__init__(lowercase__    ,   lowercase__						)



				def       snake_case    (     self					:	str    ,   lowercase__					:	Union[str, List[str]]    ,   lowercase__					:	int = 8_0_0_0    ,   lowercase__					:	bool = True    ,   ):
						__lowercase				:		List[Any]												=				trainers.UnigramTrainer(
						    vocab_size=lowercase__    ,   special_tokens=self.special_tokens_list    ,   show_progress=lowercase__    ,   )

						if isinstance(lowercase__    ,   lowercase__						):
								__lowercase				:		Any												=				[files]
						self._tokenizer.train(lowercase__    ,   trainer=lowercase__						)

						self.add_unk_id()



				def       snake_case    (     self					:	Any    ,   lowercase__					:	Union[Iterator[str], Iterator[Iterator[str]]]    ,   lowercase__					:	int = 8_0_0_0    ,   lowercase__					:	bool = True    ,   ):
						__lowercase				:		Union[str, Any]												=				trainers.UnigramTrainer(
						    vocab_size=lowercase__    ,   special_tokens=self.special_tokens_list    ,   show_progress=lowercase__    ,   )

						self._tokenizer.train_from_iterator(lowercase__    ,   trainer=lowercase__						)

						self.add_unk_id()



				def       snake_case    (     self					:	List[str]						):
						__lowercase				:		Any												=				json.loads(self._tokenizer.to_str()						)

						__lowercase				:		Optional[int]												=				self.special_tokens["unk"]["id"]

						__lowercase				:		str												=				Tokenizer.from_str(json.dumps(lowercase__						)						)






"""simple docstring"""







import os
import sys
import unittest


__A   :  Optional[Any]					=      os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__A   :  Optional[Any]					=      os.path.join(git_repo_path, 'src', 'diffusers')




class       lowerCAmelCase__       (			unittest.TestCase    ):


				"""simple docstring"""





				def       snake_case    (     self					:	str						):
						__lowercase				:		int												=				find_backend("    if not is_torch_available():"						)
						self.assertEqual(lowercase__    ,   "torch"						)

						# backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
						# self.assertEqual(backend_with_underscore, "tensorflow_text")

						__lowercase				:		int												=				find_backend("    if not (is_torch_available() and is_transformers_available()):"						)
						self.assertEqual(lowercase__    ,   "torch_and_transformers"						)

						# double_backend_with_underscore = find_backend(
						#    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"
						# )
						# self.assertEqual(double_backend_with_underscore, "sentencepiece_and_tensorflow_text")

						__lowercase				:		str												=				find_backend(
						    "    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"						)
						self.assertEqual(lowercase__    ,   "torch_and_transformers_and_onnx"						)



				def       snake_case    (     self					:	Any						):
						__lowercase				:		List[Any]												=				read_init()
						# We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
						self.assertIn("torch"    ,   lowercase__						)
						self.assertIn("torch_and_transformers"    ,   lowercase__						)
						self.assertIn("flax_and_transformers"    ,   lowercase__						)
						self.assertIn("torch_and_transformers_and_onnx"    ,   lowercase__						)

						# Likewise, we can't assert on the exact content of a key
						self.assertIn("UNet2DModel"    ,   objects["torch"]						)
						self.assertIn("FlaxUNet2DConditionModel"    ,   objects["flax"]						)
						self.assertIn("StableDiffusionPipeline"    ,   objects["torch_and_transformers"]						)
						self.assertIn("FlaxStableDiffusionPipeline"    ,   objects["flax_and_transformers"]						)
						self.assertIn("LMSDiscreteScheduler"    ,   objects["torch_and_scipy"]						)
						self.assertIn("OnnxStableDiffusionPipeline"    ,   objects["torch_and_transformers_and_onnx"]						)



				def       snake_case    (     self					:	Dict						):
						__lowercase				:		Tuple												=				create_dummy_object("CONSTANT"    ,   "'torch'"						)
						self.assertEqual(lowercase__    ,   "\nCONSTANT = None\n"						)

						__lowercase				:		Union[str, Any]												=				create_dummy_object("function"    ,   "'torch'"						)
						self.assertEqual(
						    lowercase__    ,   "\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"						)

						__lowercase				:		Tuple												=				"\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, 'torch')\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, 'torch')\n"
						__lowercase				:		Dict												=				create_dummy_object("FakeClass"    ,   "'torch'"						)
						self.assertEqual(lowercase__    ,   lowercase__						)



				def       snake_case    (     self					:	List[Any]						):
						__lowercase				:		Optional[int]												=				"# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, [\"torch\"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = [\"torch\"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, [\"torch\"])\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, [\"torch\"])\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, [\"torch\"])\n"
						__lowercase				:		List[str]												=				create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}						)
						self.assertEqual(dummy_files["torch"]    ,   lowercase__						)
