






import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 							_UpperCamelCase			(a_							,		unittest.TestCase			):
      snake_case_  =							LxmertTokenizer
      snake_case_  =							LxmertTokenizerFast
      snake_case_  =							True
      snake_case_  =							True


      def  __UpperCAmelCase		(	self	)->	Tuple:
           super().setUp()

           __lowerCAmelCase								=					[
               "[UNK]",
               "[CLS]",
               "[SEP]",
               "want",
               "##want",
               "##ed",
               "wa",
               "un",
               "runn",
               "##ing",
               ",",
               "low",
               "lowest",
           ]
           __lowerCAmelCase								=					os.path.join(self.tmpdirname					,						VOCAB_FILES_NAMES["vocab_file"]	)
           with open(self.vocab_file					,						"w"					,						encoding="utf-8"	) as vocab_writer:
                vocab_writer.write("".join([x + "\n" for x in vocab_tokens]	)	)


      def  __UpperCAmelCase		(	self					,						__UpperCamelCase	)->	str:
           __lowerCAmelCase								=					"UNwant\u00E9d,running"
           __lowerCAmelCase								=					"unwanted, running"
           return input_text, output_text


      def  __UpperCAmelCase		(	self	)->	Dict:
           __lowerCAmelCase								=					self.tokenizer_class(self.vocab_file	)

           __lowerCAmelCase								=					tokenizer.tokenize("UNwant\u00E9d,running"	)
           self.assertListEqual(__UpperCamelCase					,						["un", "##want", "##ed", ",", "runn", "##ing"]	)
           self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase	)					,						[7, 4, 5, 1_0, 8, 9]	)


      def  __UpperCAmelCase		(	self	)->	int:
           if not self.test_rust_tokenizer:
                return

           __lowerCAmelCase								=					self.get_tokenizer()
           __lowerCAmelCase								=					self.get_rust_tokenizer()

           __lowerCAmelCase								=					"I was born in 92000, and this is falsé."

           __lowerCAmelCase								=					tokenizer.tokenize(__UpperCamelCase	)
           __lowerCAmelCase								=					rust_tokenizer.tokenize(__UpperCamelCase	)
           self.assertListEqual(__UpperCamelCase					,						__UpperCamelCase	)

           __lowerCAmelCase								=					tokenizer.encode(__UpperCamelCase					,						add_special_tokens=__UpperCamelCase	)
           __lowerCAmelCase								=					rust_tokenizer.encode(__UpperCamelCase					,						add_special_tokens=__UpperCamelCase	)
           self.assertListEqual(__UpperCamelCase					,						__UpperCamelCase	)

           __lowerCAmelCase								=					self.get_rust_tokenizer()
           __lowerCAmelCase								=					tokenizer.encode(__UpperCamelCase	)
           __lowerCAmelCase								=					rust_tokenizer.encode(__UpperCamelCase	)
           self.assertListEqual(__UpperCamelCase					,						__UpperCamelCase	)














import os
import sys
import unittest


lowerCamelCase			:					int         =	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
lowerCamelCase			:					Any         =	os.path.join(git_repo_path, '''src''', '''diffusers''')



class 							_UpperCamelCase			(unittest.TestCase			):


      def  __UpperCAmelCase		(	self	)->	Optional[int]:
           __lowerCAmelCase								=					find_backend("    if not is_torch_available():"	)
           self.assertEqual(__UpperCamelCase					,						"torch"	)

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

           __lowerCAmelCase								=					find_backend("    if not (is_torch_available() and is_transformers_available()):"	)
           self.assertEqual(__UpperCamelCase					,						"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")

           __lowerCAmelCase								=					find_backend(
               "    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):"	)
           self.assertEqual(__UpperCamelCase					,						"torch_and_transformers_and_onnx"	)


      def  __UpperCAmelCase		(	self	)->	Dict:
           __lowerCAmelCase								=					read_init()
           # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
           self.assertIn("torch"					,						__UpperCamelCase	)
           self.assertIn("torch_and_transformers"					,						__UpperCamelCase	)
           self.assertIn("flax_and_transformers"					,						__UpperCamelCase	)
           self.assertIn("torch_and_transformers_and_onnx"					,						__UpperCamelCase	)

           # 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  __UpperCAmelCase		(	self	)->	Any:
           __lowerCAmelCase								=					create_dummy_object("CONSTANT"					,						"'torch'"	)
           self.assertEqual(__UpperCamelCase					,						"\nCONSTANT = None\n"	)

           __lowerCAmelCase								=					create_dummy_object("function"					,						"'torch'"	)
           self.assertEqual(
               __UpperCamelCase					,						"\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n"	)

           __lowerCAmelCase								=					"\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"
           __lowerCAmelCase								=					create_dummy_object("FakeClass"					,						"'torch'"	)
           self.assertEqual(__UpperCamelCase					,						__UpperCamelCase	)


      def  __UpperCAmelCase		(	self	)->	Tuple:
           __lowerCAmelCase								=					"# 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"
           __lowerCAmelCase								=					create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]}	)
           self.assertEqual(dummy_files["torch"]					,						__UpperCamelCase	)






