


"""simple docstring"""




import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class 							A   (	UpperCAmelCase__			,  unittest.TestCase							):
					'''simple docstring'''






					A__      =			CodeGenTokenizer
					A__      =			CodeGenTokenizerFast
					A__      =			True
					A__      =			{'''add_prefix_space''': True}
					A__      =			False

					def   lowerCamelCase__					(self   :						int		)						->       List[Any]:




							"""simple docstring"""


							super().setUp()

							# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
							lowercase__					      =		[
							    """l""",
							    """o""",
							    """w""",
							    """e""",
							    """r""",
							    """s""",
							    """t""",
							    """i""",
							    """d""",
							    """n""",
							    """\u0120""",
							    """\u0120l""",
							    """\u0120n""",
							    """\u0120lo""",
							    """\u0120low""",
							    """er""",
							    """\u0120lowest""",
							    """\u0120newer""",
							    """\u0120wider""",
							    """<unk>""",
							    """<|endoftext|>""",
							]
							lowercase__					      =		dict(zip(_UpperCAmelCase				, range(len(_UpperCAmelCase		)		)		)		)
							lowercase__					      =		["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
							lowercase__					      =		{"""unk_token""": """<unk>"""}

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

					def   lowerCamelCase__					(self   :						int				, **_UpperCAmelCase   :						List[str]		)						->       List[str]:




							"""simple docstring"""


							kwargs.update(self.special_tokens_map		)
							return CodeGenTokenizer.from_pretrained(self.tmpdirname				, **_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Union[str, Any]				, **_UpperCAmelCase   :						List[str]		)						->       Dict:




							"""simple docstring"""


							kwargs.update(self.special_tokens_map		)
							return CodeGenTokenizerFast.from_pretrained(self.tmpdirname				, **_UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Optional[int]				, _UpperCAmelCase   :						Union[str, Any]		)						->       Union[str, Any]:




							"""simple docstring"""


							lowercase__					      =		"""lower newer"""
							lowercase__					      =		"""lower newer"""
							return input_text, output_text

					def   lowerCamelCase__					(self   :						Optional[int]		)						->       List[Any]:




							"""simple docstring"""


							lowercase__					      =		CodeGenTokenizer(self.vocab_file				, self.merges_file				, **self.special_tokens_map		)
							lowercase__					      =		"""lower newer"""
							lowercase__					      =		["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
							lowercase__					      =		tokenizer.tokenize(_UpperCAmelCase				, add_prefix_space=_UpperCAmelCase		)
							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)

							lowercase__					      =		tokens + [tokenizer.unk_token]
							lowercase__					      =		[14, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)				, _UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						Optional[int]		)						->       Any:




							"""simple docstring"""


							if not self.test_rust_tokenizer:
									return

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

							lowercase__					      =		"""lower newer"""

							# Testing tokenization
							lowercase__					      =		tokenizer.tokenize(_UpperCAmelCase				, add_prefix_space=_UpperCAmelCase		)
							lowercase__					      =		rust_tokenizer.tokenize(_UpperCAmelCase		)
							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)

							# Testing conversion to ids without special tokens
							lowercase__					      =		tokenizer.encode(_UpperCAmelCase				, add_special_tokens=_UpperCAmelCase				, add_prefix_space=_UpperCAmelCase		)
							lowercase__					      =		rust_tokenizer.encode(_UpperCAmelCase				, add_special_tokens=_UpperCAmelCase		)
							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)

							# Testing conversion to ids with special tokens
							lowercase__					      =		self.get_rust_tokenizer(add_prefix_space=_UpperCAmelCase		)
							lowercase__					      =		tokenizer.encode(_UpperCAmelCase				, add_prefix_space=_UpperCAmelCase		)
							lowercase__					      =		rust_tokenizer.encode(_UpperCAmelCase		)
							self.assertListEqual(_UpperCAmelCase				, _UpperCAmelCase		)

							# Testing the unknown token
							lowercase__					      =		tokens + [rust_tokenizer.unk_token]
							lowercase__					      =		[14, 15, 10, 9, 3, 2, 15, 19]
							self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_UpperCAmelCase		)				, _UpperCAmelCase		)

					def   lowerCamelCase__					(self   :						List[Any]				, *_UpperCAmelCase   :						Union[str, Any]				, **_UpperCAmelCase   :						Optional[int]		)						->       Any:




							"""simple docstring"""


							pass

					def   lowerCamelCase__					(self   :						Dict				, _UpperCAmelCase   :						Optional[int]=15		)						->       List[str]:




							"""simple docstring"""


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
											lowercase__					      =		self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase				, **_UpperCAmelCase		)

											# Simple input
											lowercase__					      =		"""This is a simple input"""
											lowercase__					      =		["""This is a simple input 1""", """This is a simple input 2"""]
											lowercase__					      =		("""This is a simple input""", """This is a pair""")
											lowercase__					      =		[
											    ("""This is a simple input 1""", """This is a simple input 2"""),
											    ("""This is a simple pair 1""", """This is a simple pair 2"""),
											]

											# Simple input tests
											self.assertRaises(_UpperCAmelCase				, tokenizer_r.encode				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""		)

											# Simple input
											self.assertRaises(_UpperCAmelCase				, tokenizer_r.encode_plus				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""		)

											# Simple input
											self.assertRaises(
											    _UpperCAmelCase				, tokenizer_r.batch_encode_plus				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""				, )

											# Pair input
											self.assertRaises(_UpperCAmelCase				, tokenizer_r.encode				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""		)

											# Pair input
											self.assertRaises(_UpperCAmelCase				, tokenizer_r.encode_plus				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""		)

											# Pair input
											self.assertRaises(
											    _UpperCAmelCase				, tokenizer_r.batch_encode_plus				, _UpperCAmelCase				, max_length=_UpperCAmelCase				, padding="""max_length"""				, )

					def   lowerCamelCase__					(self   :						List[Any]		)						->       str:




							"""simple docstring"""


							lowercase__					      =		CodeGenTokenizer.from_pretrained(self.tmpdirname				, pad_token="""<pad>"""		)

							# Simple input
							lowercase__					      =		"""This is a simple input"""
							lowercase__					      =		["""This is a simple input looooooooong""", """This is a simple input"""]
							lowercase__					      =		("""This is a simple input""", """This is a pair""")
							lowercase__					      =		[
							    ("""This is a simple input loooooong""", """This is a simple input"""),
							    ("""This is a simple pair loooooong""", """This is a simple pair"""),
							]

							lowercase__					      =		tokenizer.pad_token_id

							lowercase__					      =		tokenizer(_UpperCAmelCase				, padding="""max_length"""				, max_length=30				, return_tensors="""np"""		)
							lowercase__					      =		tokenizer(_UpperCAmelCase				, padding=_UpperCAmelCase				, truncate=_UpperCAmelCase				, return_tensors="""np"""		)
							lowercase__					      =		tokenizer(*_UpperCAmelCase				, padding="""max_length"""				, max_length=60				, return_tensors="""np"""		)
							lowercase__					      =		tokenizer(_UpperCAmelCase				, padding=_UpperCAmelCase				, truncate=_UpperCAmelCase				, return_tensors="""np"""		)

							# s
							# test single string max_length padding
							self.assertEqual(out_s["""input_ids"""].shape[-1]				, 30		)
							self.assertTrue(pad_token_id in out_s["""input_ids"""]		)
							self.assertTrue(0 in out_s["""attention_mask"""]		)

							# s2
							# test automatic padding
							self.assertEqual(out_sa["""input_ids"""].shape[-1]				, 33		)
							# long slice doesn't have padding
							self.assertFalse(pad_token_id in out_sa["""input_ids"""][0]		)
							self.assertFalse(0 in out_sa["""attention_mask"""][0]		)
							# short slice does have padding
							self.assertTrue(pad_token_id in out_sa["""input_ids"""][1]		)
							self.assertTrue(0 in out_sa["""attention_mask"""][1]		)

							# p
							# test single pair max_length padding
							self.assertEqual(out_p["""input_ids"""].shape[-1]				, 60		)
							self.assertTrue(pad_token_id in out_p["""input_ids"""]		)
							self.assertTrue(0 in out_p["""attention_mask"""]		)

							# p2
							# test automatic padding pair
							self.assertEqual(out_pa["""input_ids"""].shape[-1]				, 52		)
							# long slice pair doesn't have padding
							self.assertFalse(pad_token_id in out_pa["""input_ids"""][0]		)
							self.assertFalse(0 in out_pa["""attention_mask"""][0]		)
							# short slice pair does have padding
							self.assertTrue(pad_token_id in out_pa["""input_ids"""][1]		)
							self.assertTrue(0 in out_pa["""attention_mask"""][1]		)

					def   lowerCamelCase__					(self   :						Optional[int]		)						->       Optional[int]:




							"""simple docstring"""


							lowercase__					      =		"""$$$"""
							lowercase__					      =		CodeGenTokenizer.from_pretrained(self.tmpdirname				, bos_token=_UpperCAmelCase				, add_bos_token=_UpperCAmelCase		)

							lowercase__					      =		"""This is a simple input"""
							lowercase__					      =		["""This is a simple input 1""", """This is a simple input 2"""]

							lowercase__					      =		tokenizer.bos_token_id

							lowercase__					      =		tokenizer(_UpperCAmelCase		)
							lowercase__					      =		tokenizer(_UpperCAmelCase		)

							self.assertEqual(out_s.input_ids[0]				, _UpperCAmelCase		)
							self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids		)		)

							lowercase__					      =		tokenizer.decode(out_s.input_ids		)
							lowercase__					      =		tokenizer.batch_decode(out_sa.input_ids		)

							self.assertEqual(decode_s.split()[0]				, _UpperCAmelCase		)
							self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa		)		)

					@slow
					def   lowerCamelCase__					(self   :						List[Any]		)						->       Any:




							"""simple docstring"""


							lowercase__					      =		CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""		)

							lowercase__					      =		"""\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
							lowercase__					      =		"""\nif len_a > len_b:      result = a\nelse:      result = b"""

							lowercase__					      =		tokenizer.encode(_UpperCAmelCase		)
							lowercase__					      =		["""^#""", re.escape("""<|endoftext|>"""		), """^'''""", """^\"\"\"""", """\n\n\n"""]
							lowercase__					      =		tokenizer.decode(_UpperCAmelCase				, truncate_before_pattern=_UpperCAmelCase		)
							self.assertEqual(_UpperCAmelCase				, _UpperCAmelCase		)


					def   lowerCamelCase__					(self   :						Dict		)						->       Optional[Any]:




							"""simple docstring"""


							pass





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A	:		Dict    =       {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:		Tuple    =       ['GLPNFeatureExtractor']
	A	:		List[str]    =       ['GLPNImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A	:		Optional[int]    =       [
	    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GLPNForDepthEstimation',
	    'GLPNLayer',
	    'GLPNModel',
	    'GLPNPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_glpn import GLPNFeatureExtractor
		from .image_processing_glpn import GLPNImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_glpn import (
		    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GLPNForDepthEstimation,
		    GLPNLayer,
		    GLPNModel,
		    GLPNPreTrainedModel,
		)


else:
	import sys

	A	:		Tuple    =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

