






"""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        UpperCamelCase			(	snake_case_		,     unittest.TestCase      ):
 UpperCamelCase					:       List[Any]			=					CodeGenTokenizer
 UpperCamelCase					:       Union[str, Any]			=					CodeGenTokenizerFast
 UpperCamelCase					:       Tuple			=					True
 UpperCamelCase					:       str			=					{'''add_prefix_space''': True}
 UpperCamelCase					:       Dict			=					False


 def _lowercase	(     self		:						int							)					->       Any:
   super().setUp()

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

   _a  :       Dict             =	os.path.join(self.tmpdirname							,						VOCAB_FILES_NAMES["""vocab_file"""]							)
   _a  :       Optional[int]             =	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 _lowercase	(     self		:						Any							,						**UpperCAmelCase__		:						Union[str, Any]							)					->       Any:
   kwargs.update(self.special_tokens_map							)
   return CodeGenTokenizer.from_pretrained(self.tmpdirname							,						**UpperCAmelCase__							)


 def _lowercase	(     self		:						List[str]							,						**UpperCAmelCase__		:						List[str]							)					->       Dict:
   kwargs.update(self.special_tokens_map							)
   return CodeGenTokenizerFast.from_pretrained(self.tmpdirname							,						**UpperCAmelCase__							)


 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						List[str]							)					->       Tuple:
   _a  :       int             =	"""lower newer"""
   _a  :       int             =	"""lower newer"""
   return input_text, output_text


 def _lowercase	(     self		:						Tuple							)					->       int:
   _a  :       List[str]             =	CodeGenTokenizer(self.vocab_file							,						self.merges_file							,						**self.special_tokens_map							)
   _a  :       Tuple             =	"""lower newer"""
   _a  :       Union[str, Any]             =	["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
   _a  :       Tuple             =	tokenizer.tokenize(UpperCAmelCase__							,						add_prefix_space=UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,						UpperCAmelCase__							)

   _a  :       str             =	tokens + [tokenizer.unk_token]
   _a  :       Optional[Any]             =	[14, 15, 10, 9, 3, 2, 15, 19]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)							,						UpperCAmelCase__							)


 def _lowercase	(     self		:						Dict							)					->       List[Any]:
   if not self.test_rust_tokenizer:
     return

   _a  :       List[str]             =	self.get_tokenizer()
   _a  :       Any             =	self.get_rust_tokenizer(add_prefix_space=UpperCAmelCase__							)

   _a  :       str             =	"""lower newer"""

   # Testing tokenization
   _a  :       str             =	tokenizer.tokenize(UpperCAmelCase__							,						add_prefix_space=UpperCAmelCase__							)
   _a  :       Dict             =	rust_tokenizer.tokenize(UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,						UpperCAmelCase__							)

   # Testing conversion to ids without special tokens
   _a  :       Any             =	tokenizer.encode(UpperCAmelCase__							,						add_special_tokens=UpperCAmelCase__							,						add_prefix_space=UpperCAmelCase__							)
   _a  :       List[str]             =	rust_tokenizer.encode(UpperCAmelCase__							,						add_special_tokens=UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,						UpperCAmelCase__							)

   # Testing conversion to ids with special tokens
   _a  :       Optional[int]             =	self.get_rust_tokenizer(add_prefix_space=UpperCAmelCase__							)
   _a  :       Optional[Any]             =	tokenizer.encode(UpperCAmelCase__							,						add_prefix_space=UpperCAmelCase__							)
   _a  :       Optional[Any]             =	rust_tokenizer.encode(UpperCAmelCase__							)
   self.assertListEqual(UpperCAmelCase__							,						UpperCAmelCase__							)

   # Testing the unknown token
   _a  :       List[Any]             =	tokens + [rust_tokenizer.unk_token]
   _a  :       List[str]             =	[14, 15, 10, 9, 3, 2, 15, 19]
   self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(UpperCAmelCase__							)							,						UpperCAmelCase__							)


 def _lowercase	(     self		:						Optional[Any]							,						*UpperCAmelCase__		:						List[str]							,						**UpperCAmelCase__		:						List[str]							)					->       Tuple:
   # It's very difficult to mix/test pretokenization with byte-level
   # And get both CodeGen and Roberta to work at the same time (mostly an issue of adding a space before the string)
   pass


 def _lowercase	(     self		:						Optional[int]							,						UpperCAmelCase__		:						Optional[int]=15							)					->       Any:
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
       _a  :       Optional[Any]             =	self.rust_tokenizer_class.from_pretrained(UpperCAmelCase__							,						**UpperCAmelCase__							)

       # Simple input
       _a  :       Optional[Any]             =	"""This is a simple input"""
       _a  :       Optional[int]             =	["""This is a simple input 1""", """This is a simple input 2"""]
       _a  :       Optional[Any]             =	("""This is a simple input""", """This is a pair""")
       _a  :       str             =	[
           ("""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 _lowercase	(     self		:						int							)					->       List[Any]:
   _a  :       Union[str, Any]             =	CodeGenTokenizer.from_pretrained(self.tmpdirname							,						pad_token="""<pad>"""							)

   # Simple input
   _a  :       Optional[int]             =	"""This is a simple input"""
   _a  :       Tuple             =	["""This is a simple input looooooooong""", """This is a simple input"""]
   _a  :       Optional[int]             =	("""This is a simple input""", """This is a pair""")
   _a  :       Tuple             =	[
       ("""This is a simple input loooooong""", """This is a simple input"""),
       ("""This is a simple pair loooooong""", """This is a simple pair"""),
   ]

   _a  :       Optional[Any]             =	tokenizer.pad_token_id

   _a  :       Union[str, Any]             =	tokenizer(UpperCAmelCase__							,						padding="""max_length"""							,						max_length=30							,						return_tensors="""np"""							)
   _a  :       Tuple             =	tokenizer(UpperCAmelCase__							,						padding=UpperCAmelCase__							,						truncate=UpperCAmelCase__							,						return_tensors="""np"""							)
   _a  :       Optional[Any]             =	tokenizer(*UpperCAmelCase__							,						padding="""max_length"""							,						max_length=60							,						return_tensors="""np"""							)
   _a  :       int             =	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 _lowercase	(     self		:						Any							)					->       Optional[Any]:
   _a  :       Optional[int]             =	"""$$$"""
   _a  :       Tuple             =	CodeGenTokenizer.from_pretrained(self.tmpdirname							,						bos_token=UpperCAmelCase__							,						add_bos_token=UpperCAmelCase__							)

   _a  :       List[Any]             =	"""This is a simple input"""
   _a  :       Dict             =	["""This is a simple input 1""", """This is a simple input 2"""]

   _a  :       Optional[Any]             =	tokenizer.bos_token_id

   _a  :       List[Any]             =	tokenizer(UpperCAmelCase__							)
   _a  :       Dict             =	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							)							)

   _a  :       Optional[int]             =	tokenizer.decode(out_s.input_ids							)
   _a  :       Optional[Any]             =	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 _lowercase	(     self		:						List[str]							)					->       Tuple:
   _a  :       int             =	CodeGenTokenizer.from_pretrained("""Salesforce/codegen-350M-mono"""							)

   _a  :       Any             =	"""\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"""
   _a  :       List[Any]             =	"""\nif len_a > len_b:      result = a\nelse:      result = b"""

   _a  :       List[str]             =	tokenizer.encode(UpperCAmelCase__							)
   _a  :       Union[str, Any]             =	["""^#""", re.escape("""<|endoftext|>"""							), """^'''""", """^\"\"\"""", """\n\n\n"""]
   _a  :       List[Any]             =	tokenizer.decode(UpperCAmelCase__							,						truncate_before_pattern=UpperCAmelCase__							)
   self.assertEqual(UpperCAmelCase__							,						UpperCAmelCase__							)







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









"""simple docstring"""




import unittest

import numpy as np

def 			lowerCAmelCase__     (     UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__     ,   UpperCamelCase__ = None     ,   ):



  '''simple docstring'''
  _a  :       List[Any]             =	np.shape(UpperCamelCase__				)
  _a  :       Any             =	np.shape(UpperCamelCase__				)
  _a  :       Union[str, Any]             =	np.shape(UpperCamelCase__				)

  if shape_a[0] != shape_b[0]:
    _a  :       int             =	(
        """Expected the same number of rows for A and B. """
        F"""Instead found A of size {shape_a} and B of size {shape_b}"""
    )
    raise ValueError(UpperCamelCase__				)

  if shape_b[1] != shape_c[1]:
    _a  :       Tuple             =	(
        """Expected the same number of columns for B and C. """
        F"""Instead found B of size {shape_b} and C of size {shape_c}"""
    )
    raise ValueError(UpperCamelCase__				)

  _a  :       int             =	pseudo_inv
  if a_inv is None:
    try:
      _a  :       Optional[int]             =	np.linalg.inv(UpperCamelCase__				)
    except np.linalg.LinAlgError:
      raise ValueError(
          """Input matrix A is not invertible. Cannot compute Schur complement."""				)

  return mat_c - mat_b.T @ a_inv @ mat_b






class        UpperCamelCase			(	unittest.TestCase      ):


 def _lowercase	(     self		:						int							)					->       None:
   _a  :       str             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Tuple             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       Optional[int]             =	np.array([[2, 1], [6, 3]]							)

   _a  :       Optional[Any]             =	schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)

   _a  :       Union[str, Any]             =	np.block([[a, b], [b.T, c]]							)

   _a  :       int             =	np.linalg.det(UpperCAmelCase__							)
   _a  :       Union[str, Any]             =	np.linalg.det(UpperCAmelCase__							)
   _a  :       List[Any]             =	np.linalg.det(UpperCAmelCase__							)

   self.assertAlmostEqual(UpperCAmelCase__							,						det_a * det_s							)


 def _lowercase	(     self		:						int							)					->       None:
   _a  :       Optional[int]             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Optional[int]             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       Union[str, Any]             =	np.array([[2, 1], [6, 3]]							)

   with self.assertRaises(UpperCAmelCase__							):
     schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)







 def _lowercase	(     self		:						List[Any]							)					->       None:
   _a  :       Any             =	np.array([[1, 2, 1], [2, 1, 2], [3, 2, 4]]							)
   _a  :       Dict             =	np.array([[0, 3], [3, 0], [2, 3]]							)
   _a  :       List[Any]             =	np.array([[2, 1, 3], [6, 3, 5]]							)

   with self.assertRaises(UpperCAmelCase__							):
     schur_complement(UpperCAmelCase__							,						UpperCAmelCase__							,						UpperCAmelCase__							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 unittest.main()

