

'''simple docstring'''

import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 							_snake_case (       _a	,  unittest.TestCase						):
   _A       :     Optional[Any]       =					CLIPTokenizer
   _A       :     List[str]       =					CLIPTokenizerFast
   _A       :     int       =					True
   _A       :     Dict       =					{}
   _A       :     Union[str, Any]       =					False
   def     __UpperCamelCase						( self			:      Tuple							):
     super().setUp()

     # fmt: off
     SCREAMING_SNAKE_CASE:int						      =					["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
     # fmt: on
     SCREAMING_SNAKE_CASE:List[str]						      =					dict(zip(SCREAMING_SNAKE_CASE__     ,range(len(SCREAMING_SNAKE_CASE__							)							)							)							)
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
     SCREAMING_SNAKE_CASE:Any						      =					{"unk_token": "<unk>"}

     SCREAMING_SNAKE_CASE:str						      =					os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES["vocab_file"]							)
     SCREAMING_SNAKE_CASE: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(SCREAMING_SNAKE_CASE__							) + "\n"							)
     with open(self.merges_file     ,"w"     ,encoding="utf-8"							) as fp:
       fp.write("\n".join(SCREAMING_SNAKE_CASE__							)							)
   def     __UpperCamelCase						( self			:      Optional[Any]     ,**SCREAMING_SNAKE_CASE__			:      List[Any]							):
     kwargs.update(self.special_tokens_map							)
     return CLIPTokenizer.from_pretrained(self.tmpdirname     ,**SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      List[str]     ,**SCREAMING_SNAKE_CASE__			:      Dict							):
     kwargs.update(self.special_tokens_map							)
     return CLIPTokenizerFast.from_pretrained(self.tmpdirname     ,**SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      Any     ,SCREAMING_SNAKE_CASE__			:      Dict							):
     SCREAMING_SNAKE_CASE:str						      =					"lower newer"
     SCREAMING_SNAKE_CASE:List[Any]						      =					"lower newer"
     return input_text, output_text
   def     __UpperCamelCase						( self			:      Any							):
     SCREAMING_SNAKE_CASE:Optional[int]						      =					CLIPTokenizer(self.vocab_file     ,self.merges_file     ,**self.special_tokens_map							)
     SCREAMING_SNAKE_CASE:int						      =					"lower newer"
     SCREAMING_SNAKE_CASE:List[str]						      =					["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
     SCREAMING_SNAKE_CASE:List[str]						      =					tokenizer.tokenize(SCREAMING_SNAKE_CASE__							)
     self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

     SCREAMING_SNAKE_CASE:Optional[int]						      =					tokens + [tokenizer.unk_token]
     SCREAMING_SNAKE_CASE:List[str]						      =					[10, 2, 16, 9, 3, 2, 16, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__							)     ,SCREAMING_SNAKE_CASE__							)
   @require_ftfy
   def     __UpperCamelCase						( self			:      Dict							):
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
         SCREAMING_SNAKE_CASE:Dict						      =					self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__							)
         SCREAMING_SNAKE_CASE:List[Any]						      =					self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__     ,**SCREAMING_SNAKE_CASE__							)

         SCREAMING_SNAKE_CASE:int						      =					"A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
         SCREAMING_SNAKE_CASE:Any						      =					tokenizer_s.tokenize(SCREAMING_SNAKE_CASE__							)
         SCREAMING_SNAKE_CASE:Dict						      =					tokenizer_r.tokenize(SCREAMING_SNAKE_CASE__							)

         self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

         # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
         # with Tilde) encoded in 2 different ways
         SCREAMING_SNAKE_CASE:Dict						      =					"xa\u0303y" + " " + "x\xe3y"
         SCREAMING_SNAKE_CASE:Dict						      =					tokenizer_s.tokenize(SCREAMING_SNAKE_CASE__							)
         SCREAMING_SNAKE_CASE:Union[str, Any]						      =					tokenizer_r.tokenize(SCREAMING_SNAKE_CASE__							)

         self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

         # Test that the tokenization is identical on unicode of space type
         SCREAMING_SNAKE_CASE:int						      =					[
             "\u0009",  # (horizontal tab, '\t')
             "\u000B",  # (vertical tab)
             "\u000C",  # (form feed)
             "\u0020",  # (space, ' ')
             "\u200E",  # (left-to-right mark):w
             "\u200F",  # (right-to-left mark)
         ]
         for unicode_seq in spaces_unicodes:
           SCREAMING_SNAKE_CASE:Tuple						      =					tokenizer_s.tokenize(SCREAMING_SNAKE_CASE__							)
           SCREAMING_SNAKE_CASE:Union[str, Any]						      =					tokenizer_r.tokenize(SCREAMING_SNAKE_CASE__							)

           self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)

         # Test that the tokenization is identical on unicode of line break type
         SCREAMING_SNAKE_CASE:Tuple						      =					[
             "\u000A",  # (line feed, '\n')
             "\r\n",  # (carriage return and line feed, '\r\n')
             "\u000D",  # (carriage return, '\r')
             "\r",  # (carriage return, '\r')
             "\u000D",  # (carriage return, '\r')
             "\u2028",  # (line separator)
             "\u2029",  # (paragraph separator)
             # "\u0085", # (next line)
         ]

         # The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
         # it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
         # space (and thus into an empty list).

         for unicode_seq in line_break_unicodes:
           SCREAMING_SNAKE_CASE:List[Any]						      =					tokenizer_s.tokenize(SCREAMING_SNAKE_CASE__							)
           SCREAMING_SNAKE_CASE:Optional[int]						      =					tokenizer_r.tokenize(SCREAMING_SNAKE_CASE__							)

           self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__							)
   def     __UpperCamelCase						( self			:      int							):
     # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
         SCREAMING_SNAKE_CASE:Dict						      =					"hello"  # `hello` is a token in the vocabulary of `pretrained_name`
         SCREAMING_SNAKE_CASE:List[str]						      =					F'''{text_of_1_token} {text_of_1_token}'''

         SCREAMING_SNAKE_CASE:Optional[Any]						      =					self.rust_tokenizer_class.from_pretrained(
             SCREAMING_SNAKE_CASE__     ,use_fast=SCREAMING_SNAKE_CASE__     ,)
         SCREAMING_SNAKE_CASE:int						      =					tokenizer_r(SCREAMING_SNAKE_CASE__     ,return_offsets_mapping=SCREAMING_SNAKE_CASE__     ,add_special_tokens=SCREAMING_SNAKE_CASE__							)
         self.assertEqual(encoding.offset_mapping[0]     ,(0, len(SCREAMING_SNAKE_CASE__							))							)
         self.assertEqual(
             encoding.offset_mapping[1]     ,(len(SCREAMING_SNAKE_CASE__							) + 1, len(SCREAMING_SNAKE_CASE__							) + 1 + len(SCREAMING_SNAKE_CASE__							))     ,)

         SCREAMING_SNAKE_CASE:Tuple						      =					F''' {text}'''

         SCREAMING_SNAKE_CASE:Union[str, Any]						      =					self.rust_tokenizer_class.from_pretrained(
             SCREAMING_SNAKE_CASE__     ,use_fast=SCREAMING_SNAKE_CASE__     ,)
         SCREAMING_SNAKE_CASE:Union[str, Any]						      =					tokenizer_r(SCREAMING_SNAKE_CASE__     ,return_offsets_mapping=SCREAMING_SNAKE_CASE__     ,add_special_tokens=SCREAMING_SNAKE_CASE__							)
         self.assertEqual(encoding.offset_mapping[0]     ,(1, 1 + len(SCREAMING_SNAKE_CASE__							))							)
         self.assertEqual(
             encoding.offset_mapping[1]     ,(1 + len(SCREAMING_SNAKE_CASE__							) + 1, 1 + len(SCREAMING_SNAKE_CASE__							) + 1 + len(SCREAMING_SNAKE_CASE__							))     ,)
   def     __UpperCamelCase						( self			:      Optional[Any]							):
     # Test related to the breaking change introduced in transformers v4.17.0
     # We need to check that an error in raised when the user try to load a previous version of the tokenizer.
     with self.assertRaises(SCREAMING_SNAKE_CASE__							) as context:
       self.rust_tokenizer_class.from_pretrained("robot-test/old-clip-tokenizer"							)

     self.assertTrue(
         context.exception.args[0].startswith(
             "The `backend_tokenizer` provided does not match the expected format."							)							)
   @require_ftfy
   def     __UpperCamelCase						( self			:      List[Any]							):
     super().test_tokenization_python_rust_equals()







   def     __UpperCamelCase						( self			:      Dict							):
     # CLIP always lower cases letters
     pass









'''simple docstring'''

import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A_       						=							[
    "kernels/rwkv/wkv_cuda.cu",
    "kernels/rwkv/wkv_op.cpp",
    "kernels/deformable_detr/ms_deform_attn.h",
    "kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh",
    "models/graphormer/algos_graphormer.pyx",
]





def    A_  ( snake_case ):
  # Test all the extensions added in the setup
  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
    A_       						=							argparse.ArgumentParser()
    parser.add_argument("--check_lib", action="store_true", help="Whether to check the build or the actual package.")
    A_       						=							parser.parse_args()
    if args.check_lib:
        A_       						=							importlib.import_module("transformers")
        A_       						=							Path(transformers_module.__file__).parent
    else:
        A_       						=							Path.cwd() / "build/lib/transformers"
    if not test_custom_files_are_present(transformers_path):
        raise ValueError("The built release does not contain the custom files. Fix this before going further!")






