




'''simple docstring'''





import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
		UpperCAmelCase_						="pt"
elif is_tf_available():
		UpperCAmelCase_						="tf"
else:
		UpperCAmelCase_						="jax"


class 							__UpperCamelCase			( lowercase__     ,					unittest.TestCase  ):





				'''simple docstring'''



				__a							: Optional[Any]										=PerceiverTokenizer
				__a							: Union[str, Any]										=False



				def       __snake_case		( self						):
											super().setUp()
											lowerCAmelCase   =		PerceiverTokenizer()
											tokenizer.save_pretrained(self.tmpdirname						)



				@cached_property
				def       __snake_case		( self						):
											return PerceiverTokenizer.from_pretrained('''deepmind/language-perceiver'''						)



				def       __snake_case		( self       , **UpperCAmelCase_						):
											return self.tokenizer_class.from_pretrained(self.tmpdirname       , **__lowerCamelCase						)



				def       __snake_case		( self       , UpperCAmelCase_       , UpperCAmelCase_=False       , UpperCAmelCase_=20       , UpperCAmelCase_=5						):
											lowerCAmelCase   =		[]
											for i in range(len(__lowerCamelCase						)						):
																		try:
																									lowerCAmelCase   =		tokenizer.decode([i]       , clean_up_tokenization_spaces=__lowerCamelCase						)
																		except UnicodeDecodeError:
																									pass
																		toks.append((i, tok)						)

											lowerCAmelCase   =		list(filter(lambda UpperCAmelCase_						: re.match(r'''^[ a-zA-Z]+$'''       , t[1]						)       , __lowerCamelCase						)						)
											lowerCAmelCase   =		list(filter(lambda UpperCAmelCase_						: [t[0]] == tokenizer.encode(t[1]       , add_special_tokens=__lowerCamelCase						)       , __lowerCamelCase						)						)
											if max_length is not None and len(__lowerCamelCase						) > max_length:
																		lowerCAmelCase   =		toks[:max_length]
											if min_length is not None and len(__lowerCamelCase						) < min_length and len(__lowerCamelCase						) > 0:
																		while len(__lowerCamelCase						) < min_length:
																									lowerCAmelCase   =		toks + toks
        # toks_str = [t[1] for t in toks]
											lowerCAmelCase   =		[t[0] for t in toks]

											# Ensure consistency
											lowerCAmelCase   =		tokenizer.decode(__lowerCamelCase       , clean_up_tokenization_spaces=__lowerCamelCase						)
											if " " not in output_txt and len(__lowerCamelCase						) > 1:
																		lowerCAmelCase   =		(
																		    tokenizer.decode([toks_ids[0]]       , clean_up_tokenization_spaces=__lowerCamelCase						)
																		    + " "
																		    + tokenizer.decode(toks_ids[1:]       , clean_up_tokenization_spaces=__lowerCamelCase						)
																		)
											if with_prefix_space:
																		lowerCAmelCase   =		" " + output_txt
											lowerCAmelCase   =		tokenizer.encode(__lowerCamelCase       , add_special_tokens=__lowerCamelCase						)
											return output_txt, output_ids



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.perceiver_tokenizer
											lowerCAmelCase   =		"Unicode €."
											lowerCAmelCase   =		tokenizer(__lowerCamelCase						)
											lowerCAmelCase   =		[4, 91, 1_16, 1_11, 1_05, 1_17, 1_06, 1_07, 38, 2_32, 1_36, 1_78, 52, 5]
											self.assertEqual(encoded['''input_ids''']       , __lowerCamelCase						)

											# decoding
											lowerCAmelCase   =		tokenizer.decode(__lowerCamelCase						)
											self.assertEqual(__lowerCamelCase       , '''[CLS]Unicode €.[SEP]'''						)

											lowerCAmelCase   =		tokenizer('''e è é ê ë'''						)
											lowerCAmelCase   =		[4, 1_07, 38, 2_01, 1_74, 38, 2_01, 1_75, 38, 2_01, 1_76, 38, 2_01, 1_77, 5]
											self.assertEqual(encoded['''input_ids''']       , __lowerCamelCase						)
											# decoding
											lowerCAmelCase   =		tokenizer.decode(__lowerCamelCase						)
											self.assertEqual(__lowerCamelCase       , '''[CLS]e è é ê ë[SEP]'''						)

											# encode/decode, but with `encode` instead of `__call__`
											self.assertEqual(tokenizer.decode(tokenizer.encode('''e è é ê ë'''						)						)       , '''[CLS]e è é ê ë[SEP]'''						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.perceiver_tokenizer
											lowerCAmelCase   =		["A long paragraph for summarization.", "Another paragraph for summarization."]
											# fmt: off
											lowerCAmelCase   =		[4, 71, 38, 1_14, 1_17, 1_16, 1_09, 38, 1_18, 1_03, 1_20, 1_03, 1_09, 1_20, 1_03, 1_18, 1_10, 38, 1_08, 1_17, 1_20, 38, 1_21, 1_23, 1_15, 1_15, 1_03, 1_20, 1_11, 1_28, 1_03, 1_22, 1_11, 1_17, 1_16, 52, 5, 0]
											# fmt: on
											lowerCAmelCase   =		tokenizer(__lowerCamelCase       , padding=__lowerCamelCase       , return_tensors=__lowerCamelCase						)
											self.assertIsInstance(__lowerCamelCase       , __lowerCamelCase						)

											if FRAMEWORK != "jax":
																		lowerCAmelCase   =		list(batch.input_ids.numpy()[0]						)
											else:
																		lowerCAmelCase   =		list(batch.input_ids.tolist()[0]						)

											self.assertListEqual(__lowerCamelCase       , __lowerCamelCase						)

											self.assertEqual((2, 38)       , batch.input_ids.shape						)
											self.assertEqual((2, 38)       , batch.attention_mask.shape						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.perceiver_tokenizer
											lowerCAmelCase   =		["A long paragraph for summarization.", "Another paragraph for summarization."]
											lowerCAmelCase   =		tokenizer(__lowerCamelCase       , padding=__lowerCamelCase       , return_tensors=__lowerCamelCase						)
											# check if input_ids are returned and no decoder_input_ids
											self.assertIn('''input_ids'''       , __lowerCamelCase						)
											self.assertIn('''attention_mask'''       , __lowerCamelCase						)
											self.assertNotIn('''decoder_input_ids'''       , __lowerCamelCase						)
											self.assertNotIn('''decoder_attention_mask'''       , __lowerCamelCase						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.perceiver_tokenizer
											lowerCAmelCase   =		[
											    "Summary of the text.",
											    "Another summary.",
											]
											lowerCAmelCase   =		tokenizer(
											    text_target=__lowerCamelCase       , max_length=32       , padding='''max_length'''       , truncation=__lowerCamelCase       , return_tensors=__lowerCamelCase						)
											self.assertEqual(32       , targets['''input_ids'''].shape[1]						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.get_tokenizers()
											for tokenizer in tokenizers:
																		with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
																									self.assertNotEqual(tokenizer.model_max_length       , 42						)

        # Now let's start the test
											lowerCAmelCase   =		self.get_tokenizers()
											for tokenizer in tokenizers:
																		with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
																									# Isolate this from the other tests because we save additional tokens/etc
																									lowerCAmelCase   =		tempfile.mkdtemp()

																									lowerCAmelCase   =		" He is very happy, UNwant\u00E9d,running"
																									lowerCAmelCase   =		tokenizer.encode(__lowerCamelCase       , add_special_tokens=__lowerCamelCase						)
																									tokenizer.save_pretrained(__lowerCamelCase						)

																									lowerCAmelCase   =		tokenizer.__class__.from_pretrained(__lowerCamelCase						)
																									lowerCAmelCase   =		after_tokenizer.encode(__lowerCamelCase       , add_special_tokens=__lowerCamelCase						)
																									self.assertListEqual(__lowerCamelCase       , __lowerCamelCase						)

																									shutil.rmtree(__lowerCamelCase						)

											lowerCAmelCase   =		self.get_tokenizers(model_max_length=42						)
											for tokenizer in tokenizers:
																		with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
																									# Isolate this from the other tests because we save additional tokens/etc
																									lowerCAmelCase   =		tempfile.mkdtemp()

																									lowerCAmelCase   =		" He is very happy, UNwant\u00E9d,running"
																									tokenizer.add_tokens(['''bim''', '''bambam''']						)
																									lowerCAmelCase   =		tokenizer.additional_special_tokens
																									additional_special_tokens.append('''new_additional_special_token'''						)
																									tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}						)
																									lowerCAmelCase   =		tokenizer.encode(__lowerCamelCase       , add_special_tokens=__lowerCamelCase						)
																									tokenizer.save_pretrained(__lowerCamelCase						)

																									lowerCAmelCase   =		tokenizer.__class__.from_pretrained(__lowerCamelCase						)
																									lowerCAmelCase   =		after_tokenizer.encode(__lowerCamelCase       , add_special_tokens=__lowerCamelCase						)
																									self.assertListEqual(__lowerCamelCase       , __lowerCamelCase						)
																									self.assertIn('''new_additional_special_token'''       , after_tokenizer.additional_special_tokens						)
																									self.assertEqual(after_tokenizer.model_max_length       , 42						)

																									lowerCAmelCase   =		tokenizer.__class__.from_pretrained(__lowerCamelCase       , model_max_length=43						)
																									self.assertEqual(tokenizer.model_max_length       , 43						)

																									shutil.rmtree(__lowerCamelCase						)



				def       __snake_case		( self						):
											lowerCAmelCase   =		[]
											if self.test_slow_tokenizer:
																		tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())						)

											if self.test_rust_tokenizer:
																		tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())						)

											for tokenizer_class, tokenizer_utils in tokenizer_list:
																		with tempfile.TemporaryDirectory() as tmp_dir:
																									tokenizer_utils.save_pretrained(__lowerCamelCase						)

																									with open(os.path.join(__lowerCamelCase       , '''special_tokens_map.json'''						)       , encoding='''utf-8'''						) as json_file:
																																lowerCAmelCase   =		json.load(__lowerCamelCase						)

																									with open(os.path.join(__lowerCamelCase       , '''tokenizer_config.json'''						)       , encoding='''utf-8'''						) as json_file:
																																lowerCAmelCase   =		json.load(__lowerCamelCase						)

																									lowerCAmelCase   =		[F"""<extra_id_{i}>""" for i in range(1_25						)]

																									lowerCAmelCase   =		added_tokens_extra_ids + [
																									    "an_additional_special_token"
																									]
																									lowerCAmelCase   =		added_tokens_extra_ids + [
																									    "an_additional_special_token"
																									]

																									with open(os.path.join(__lowerCamelCase       , '''special_tokens_map.json'''						)       , '''w'''       , encoding='''utf-8'''						) as outfile:
																																json.dump(__lowerCamelCase       , __lowerCamelCase						)
																									with open(os.path.join(__lowerCamelCase       , '''tokenizer_config.json'''						)       , '''w'''       , encoding='''utf-8'''						) as outfile:
																																json.dump(__lowerCamelCase       , __lowerCamelCase						)

																									# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
																									# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
																									# "special_tokens_map.json" files
																									lowerCAmelCase   =		tokenizer_class.from_pretrained(
																									    __lowerCamelCase       , )
																									self.assertIn(
																									    '''an_additional_special_token'''       , tokenizer_without_change_in_init.additional_special_tokens						)
																									self.assertEqual(
																									    ['''an_additional_special_token''']       , tokenizer_without_change_in_init.convert_ids_to_tokens(
																									        tokenizer_without_change_in_init.convert_tokens_to_ids(['''an_additional_special_token''']						)						)       , )

																									# Now we test that we can change the value of additional_special_tokens in the from_pretrained
																									lowerCAmelCase   =		added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''       , lstrip=__lowerCamelCase						)]
																									lowerCAmelCase   =		tokenizer_class.from_pretrained(
																									    __lowerCamelCase       , additional_special_tokens=__lowerCamelCase       , )

																									self.assertIn('''a_new_additional_special_token'''       , tokenizer.additional_special_tokens						)
																									self.assertEqual(
																									    ['''a_new_additional_special_token''']       , tokenizer.convert_ids_to_tokens(
																									        tokenizer.convert_tokens_to_ids(['''a_new_additional_special_token''']						)						)       , )



				def       __snake_case		( self						):
											lowerCAmelCase   =		self.perceiver_tokenizer
											self.assertEqual(tokenizer.decode([1_78]						)       , '''�'''						)



				def       __snake_case		( self						):
											pass



				def       __snake_case		( self						):
											pass



				def       __snake_case		( self						):
											pass



				def       __snake_case		( self						):
											pass






				def       __snake_case		( self						):
											lowerCAmelCase   =		self.get_tokenizers(fast=__lowerCamelCase       , do_lower_case=__lowerCamelCase						)
											for tokenizer in tokenizers:
																		with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
																									lowerCAmelCase   =		["[CLS]", "t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "s", "t", "[SEP]"]
																									lowerCAmelCase   =		tokenizer.convert_tokens_to_string(__lowerCamelCase						)

																									self.assertIsInstance(__lowerCamelCase       , __lowerCamelCase						)









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_						={
    """configuration_jukebox""": [
        """JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """JukeboxConfig""",
        """JukeboxPriorConfig""",
        """JukeboxVQVAEConfig""",
    ],
    """tokenization_jukebox""": ["""JukeboxTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """JukeboxModel""",
		    """JukeboxPreTrainedModel""",
		    """JukeboxVQVAE""",
		    """JukeboxPrior""",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

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



