





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class       __A					(					lowerCAmelCase    ,       unittest.TestCase				):

			'''simple docstring'''







			lowerCAmelCase_							  =		MgpstrTokenizer
			lowerCAmelCase_							  =		False
			lowerCAmelCase_							  =		{}
			lowerCAmelCase_							  =		False





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				super().setUp()

				# fmt: off
				lowerCamelCase__              =	['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
				# fmt: on
				lowerCamelCase__              =	dict(zip(__lowerCAmelCase ,						range(len(__lowerCAmelCase							)							)							)							)

				lowerCamelCase__              =	os.path.join(self.tmpdirname ,						VOCAB_FILES_NAMES['''vocab_file''']							)
				with open(self.vocab_file ,						'''w''' ,						encoding='''utf-8'''							) as fp:
					fp.write(json.dumps(__lowerCAmelCase							) + '''\n'''							)





			def 	__lowerCamelCase       (					self ,						**__lowerCAmelCase							):



				'''simple docstring'''







				return MgpstrTokenizer.from_pretrained(self.tmpdirname ,						**__lowerCAmelCase							)





			def 	__lowerCamelCase       (					self ,						__lowerCAmelCase							):



				'''simple docstring'''







				lowerCamelCase__              =	'''tester'''
				lowerCamelCase__              =	'''tester'''
				return input_text, output_text





			@unittest.skip('''MGP-STR always lower cases letters.'''							)
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				pass





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.get_tokenizers(do_lower_case=__lowerCAmelCase							)
				for tokenizer in tokenizers:
					with self.subTest(F'{tokenizer.__class__.__name__}'							):
						lowerCamelCase__              =	'''[SPECIAL_TOKEN]'''

						tokenizer.add_special_tokens({'''cls_token''': special_token}							)
						lowerCamelCase__              =	tokenizer.encode([special_token] ,						add_special_tokens=__lowerCAmelCase							)
						self.assertEqual(len(__lowerCAmelCase							) ,						1							)

						lowerCamelCase__              =	tokenizer.decode(__lowerCAmelCase ,						skip_special_tokens=__lowerCAmelCase							)
						self.assertTrue(special_token not in decoded							)





			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				lowerCamelCase__              =	self.get_tokenizers()
				for tokenizer in tokenizers:
					with self.subTest(F'{tokenizer.__class__.__name__}'							):
						lowerCamelCase__       ,			lowerCamelCase__              =	self.get_input_output_texts(__lowerCAmelCase							)

						lowerCamelCase__              =	tokenizer.tokenize(__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer.convert_tokens_to_ids(__lowerCAmelCase							)
						lowerCamelCase__              =	tokenizer.encode(__lowerCAmelCase ,						add_special_tokens=__lowerCAmelCase							)
						self.assertListEqual(__lowerCAmelCase ,						__lowerCAmelCase							)

						lowerCamelCase__              =	tokenizer.convert_ids_to_tokens(__lowerCAmelCase							)
						self.assertNotEqual(len(__lowerCAmelCase							) ,						0							)
						lowerCamelCase__              =	tokenizer.decode(__lowerCAmelCase							)
						self.assertIsInstance(__lowerCAmelCase ,						__lowerCAmelCase							)

						self.assertEqual(text_a.replace(''' ''' ,						''''''							) ,						__lowerCAmelCase							)





			@unittest.skip('''MGP-STR tokenizer only handles one sequence.'''							)
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				pass





			@unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer'''							)
			def 	__lowerCamelCase       (					self							):



				'''simple docstring'''







				pass










import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD





def lowerCAmelCase__(__snake_case							)       ->   Union[str, Any]:







	'''simple docstring'''







	def wrapper(*__snake_case ,**__snake_case							):
		lowerCamelCase__              =	timeit.default_timer()
		lowerCamelCase__              =	func(*__snake_case ,**__snake_case							)
		lowerCamelCase__              =	timeit.default_timer() - starttime
		return delta

	lowerCamelCase__              =	func.__name__

	return wrapper





def lowerCAmelCase__(__snake_case ,__snake_case=100 ,__snake_case=None							)       ->   Optional[Any]:







	'''simple docstring'''







	lowerCamelCase__              =	[]
	lowerCamelCase__              =	seq_shapes or {}
	for i in range(__snake_case							):
		lowerCamelCase__              =	{}
		for col_id, (k, v) in enumerate(features.items()							):
			if isinstance(__snake_case ,_ArrayXD							):
				lowerCamelCase__              =	np.random.rand(*v.shape							).astype(v.dtype							)
			elif isinstance(__snake_case ,datasets.Value							):
				if v.dtype == "string":
					lowerCamelCase__              =	'''The small grey turtle was surprisingly fast when challenged.'''
				else:
					lowerCamelCase__              =	np.random.randint(10 ,size=1							).astype(v.dtype							).item()
			elif isinstance(__snake_case ,datasets.Sequence							):
				while isinstance(__snake_case ,datasets.Sequence							):
					lowerCamelCase__              =	v.feature
				lowerCamelCase__              =	seq_shapes[k]
				lowerCamelCase__              =	np.random.rand(*__snake_case							).astype(v.dtype							)
			lowerCamelCase__              =	data

		dummy_data.append((i, example)							)

	return dummy_data





def lowerCAmelCase__(__snake_case ,__snake_case ,__snake_case=100 ,__snake_case=None							)       ->   str:







	'''simple docstring'''







	lowerCamelCase__              =	generate_examples(__snake_case ,num_examples=__snake_case ,seq_shapes=__snake_case							)

	with ArrowWriter(features=__snake_case ,path=__snake_case							) as writer:
		for key, record in dummy_data:
			lowerCamelCase__              =	features.encode_example(__snake_case							)
			writer.write(__snake_case							)

		lowerCamelCase__       ,			lowerCamelCase__              =	writer.finalize()

	if not num_final_examples == num_examples:
		raise ValueError(
		    F'Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'							)

	lowerCamelCase__              =	datasets.Dataset.from_file(filename=__snake_case ,info=datasets.DatasetInfo(features=__snake_case							)							)

	return dataset



