
import os
import sys
import unittest


_lowercase											=    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
_lowercase											=    os.path.join(git_repo_path, """src""", """diffusers""")


class 			lowercase_		(      unittest.TestCase       ):


       def 	_snake_case				(    self				)						->    Optional[int]:
              SCREAMING_SNAKE_CASE_							:				List[str]		=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")

              SCREAMING_SNAKE_CASE_							:				str		=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")

              SCREAMING_SNAKE_CASE_							:				Any		=find_backend(
                  '''    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):'''				)
              self.assertEqual(UpperCAmelCase_						,       '''torch_and_transformers_and_onnx'''				)


       def 	_snake_case				(    self				)						->    Optional[int]:
              SCREAMING_SNAKE_CASE_							:				int		=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 	_snake_case				(    self				)						->    Optional[int]:
              SCREAMING_SNAKE_CASE_							:				List[Any]		=create_dummy_object('''CONSTANT'''						,       '''\'torch\''''				)
              self.assertEqual(UpperCAmelCase_						,       '''\nCONSTANT = None\n'''				)

              SCREAMING_SNAKE_CASE_							:				Dict		=create_dummy_object('''function'''						,       '''\'torch\''''				)
              self.assertEqual(
                  UpperCAmelCase_						,       '''\ndef function(*args, **kwargs):\n    requires_backends(function, \'torch\')\n'''				)

              SCREAMING_SNAKE_CASE_							:				Union[str, Any]		='''\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'''
              SCREAMING_SNAKE_CASE_							:				Dict		=create_dummy_object('''FakeClass'''						,       '''\'torch\''''				)
              self.assertEqual(UpperCAmelCase_						,       UpperCAmelCase_				)





       def 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				Any		='''# 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'''
              SCREAMING_SNAKE_CASE_							:				Tuple		=create_dummy_files({'''torch''': ['''CONSTANT''', '''function''', '''FakeClass''']}				)
              self.assertEqual(dummy_files['''torch''']						,       UpperCAmelCase_				)





'''simple docstring'''





import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE__          =  get_tests_dir("fixtures/test_sentencepiece.model")


@require_sentencepiece
@require_tokenizers
class 					snake_case			(UpperCamelCase		,   unittest.TestCase ):
       lowerCAmelCase__	:List[Any]     =       XGLMTokenizer
       lowerCAmelCase__	:Tuple     =       XGLMTokenizerFast
       lowerCAmelCase__	:Any     =       True
       lowerCAmelCase__	:List[Any]     =       True



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

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



       def 				_a   (					self   )	->				Tuple:
           lowercase__									=    "<pad>"
           lowercase__									=    1

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



       def 				_a   (					self   )	->				Dict:
           lowercase__									=    list(self.get_tokenizer().get_vocab().keys()   )

           self.assertEqual(vocab_keys[0]  ,"<s>"   )
           self.assertEqual(vocab_keys[1]  ,"<pad>"   )
           self.assertEqual(len(UpperCAmelCase_   )  ,1_008   )



       def 				_a   (					self   )	->				Union[str, Any]:
           self.assertEqual(self.get_tokenizer().vocab_size  ,1_008   )



       def 				_a   (					self   )	->				Dict:
           lowercase__									=    XGLMTokenizer(UpperCAmelCase_  ,keep_accents=UpperCAmelCase_   )

           lowercase__									=    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]]  ,)

           lowercase__									=    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",
                   ".",
               ]  ,)
           lowercase__									=    tokenizer.convert_tokens_to_ids(UpperCAmelCase_   )
           self.assertListEqual(
               UpperCAmelCase_  ,[
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]  ,)

           lowercase__									=    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 				_a   (					self   )	->				Optional[int]:
           return XGLMTokenizer.from_pretrained("facebook/xglm-564M"   )



       def 				_a   (					self   )	->				int:
           with tempfile.NamedTemporaryFile() as f:
               shutil.copyfile(UpperCAmelCase_  ,f.name   )
               lowercase__									=    XGLMTokenizer(f.name  ,keep_accents=UpperCAmelCase_   )
               lowercase__									=    pickle.dumps(UpperCAmelCase_   )
           pickle.loads(UpperCAmelCase_   )



       def 				_a   (					self   )	->				Optional[int]:
           if not self.test_rust_tokenizer:
               return

           lowercase__									=    self.get_tokenizer()
           lowercase__									=    self.get_rust_tokenizer()

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

           lowercase__									=    tokenizer.tokenize(UpperCAmelCase_   )
           lowercase__									=    rust_tokenizer.tokenize(UpperCAmelCase_   )
           self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

           lowercase__									=    tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
           lowercase__									=    rust_tokenizer.encode(UpperCAmelCase_  ,add_special_tokens=UpperCAmelCase_   )
           self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )

           lowercase__									=    self.get_rust_tokenizer()
           lowercase__									=    tokenizer.encode(UpperCAmelCase_   )
           lowercase__									=    rust_tokenizer.encode(UpperCAmelCase_   )
           self.assertListEqual(UpperCAmelCase_  ,UpperCAmelCase_   )



       @slow
       def 				_a   (					self   )	->				List[str]:
           lowercase__									=    "Hello World!"
           lowercase__									=    [2, 31_227, 4_447, 35]

           self.assertListEqual(UpperCAmelCase_  ,self.big_tokenizer.encode(UpperCAmelCase_   )   )



       @slow
       def 				_a   (					self   )	->				str:
           lowercase__									=    (
               "This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"
               " add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth"
           )
           # fmt: off
           lowercase__									=    [2, 1_018, 67, 11, 1_988, 2_617, 5_631, 278, 11, 3_407, 48, 71_630, 28_085, 4, 3_234, 157, 13, 6, 5, 6, 4, 3_526, 768, 15, 659, 57, 298, 3_983, 864, 129, 21, 6, 5, 13_675, 377, 652, 7_580, 10_341, 155, 2_817, 422, 1_666, 7, 1_674, 53, 113, 202_277, 17_892, 33, 60, 87, 4, 3_234, 157, 61, 2_667, 52_376, 19, 88, 23, 735]
           # fmt: on

           self.assertListEqual(UpperCAmelCase_  ,self.big_tokenizer.encode(UpperCAmelCase_   )   )







       @slow
       def 				_a   (					self   )	->				str:
           # fmt: off
           lowercase__									=    {
               "input_ids": [[2, 108_825, 1_163, 15, 88_010, 473, 15_898, 157, 13_672, 1_857, 312, 8, 238_021, 1_163, 53, 13_672, 1_857, 312, 8, 53_283, 182_396, 8, 18_566, 16, 36_733, 4_101, 8, 230, 244_017, 122_553, 7, 15, 132_597, 4, 293, 12_511, 7_610, 4, 3_414, 132_597, 9, 4, 32_361, 362, 4, 734, 28_512, 32_569, 18, 4, 32_361, 26_096, 14_982, 73, 18_715, 21_433, 235_261, 15, 492, 12_427, 16, 53, 18_715, 21_433, 65_454, 15, 23_659, 563, 16, 278, 597, 2_843, 595, 7_931, 182_396, 64_186, 22, 886, 595, 132_981, 53, 25_540, 3_449, 43_982, 39_901, 5_951, 878, 330, 4, 27_694, 80_269, 312, 53, 6_517, 11_780, 611, 20_408, 5], [2, 6, 132_597, 67, 42_897, 33, 592, 8, 163_729, 25_540, 361, 136_997, 109_514, 173_230, 7, 501, 60, 102_913, 196, 5_631, 235, 63_243, 473, 6, 231_757, 74, 5_277, 7_905, 53, 3_095, 37_317, 22, 454, 183_874, 5], [2, 268, 31_298, 46_530, 6, 132_935, 43_831, 7, 597, 32, 24, 3_688, 9_865, 5]],
               "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, 1, 1, 1, 1, 1]]
           }  # noqa: E501
           # fmt: on

           self.tokenizer_integration_test_util(
               expected_encoding=UpperCAmelCase_  ,model_name="facebook/xglm-564M"  ,padding=UpperCAmelCase_  ,)




