





import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowercase    : Any    	=  """src/diffusers"""

# Matches is_xxx_available()
lowercase    : str    	=  re.compile(R"""is\_([a-z_]*)_available\(\)""")
# Matches from xxx import bla
lowercase    : Dict    	=  re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")


lowercase    : Union[str, Any]    	=  """
{0} = None
"""

lowercase    : Union[str, Any]    	=  """
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})

    @classmethod
    def from_config(cls, *args, **kwargs):
        requires_backends(cls, {1})

    @classmethod
    def from_pretrained(cls, *args, **kwargs):
        requires_backends(cls, {1})
"""


lowercase    : Tuple    	=  """
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase					):
       _UpperCamelCase              =						_re_backend.findall(lowerCAmelCase					)
       if len(lowerCAmelCase					) == 0:
              return None

       return "_and_".join(lowerCAmelCase					)


def     SCREAMING_SNAKE_CASE			(      ):
       with open(os.path.join(lowerCAmelCase    ,       '''__init__.py'''					)    ,       '''r'''    ,       encoding='''utf-8'''    ,       newline='''\n'''					) as f:
              _UpperCamelCase              =						f.readlines()

       # Get to the point we do the actual imports for type checking
       _UpperCamelCase              =						0
       _UpperCamelCase              =						{}
       # Go through the end of the file
       while line_index < len(lowerCAmelCase					):
              # If the line contains is_backend_available, we grab all objects associated with the `else` block
              _UpperCamelCase              =						find_backend(lines[line_index]					)
              if backend is not None:
                     while not lines[line_index].startswith('''else:'''					):
                            line_index += 1
                     line_index += 1
                     _UpperCamelCase              =						[]
                     # Until we unindent, add backend objects to the list
                     while line_index < len(lowerCAmelCase					) and len(lines[line_index]					) > 1:
                            _UpperCamelCase              =						lines[line_index]
                            _UpperCamelCase              =						_re_single_line_import.search(lowerCAmelCase					)
                            if single_line_import_search is not None:
                                   objects.extend(single_line_import_search.groups()[0].split(''', '''					)					)
                            elif line.startswith(''' ''' * 8					):
                                   objects.append(line[8:-2]					)
                            line_index += 1

                     if len(lowerCAmelCase					) > 0:
                            _UpperCamelCase              =						objects
              else:
                     line_index += 1

       return backend_specific_objects


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase    ,       lowerCAmelCase					):
       if name.isupper():
              return DUMMY_CONSTANT.format(lowerCAmelCase					)
       elif name.islower():
              return DUMMY_FUNCTION.format(lowerCAmelCase    ,       lowerCAmelCase					)
       else:
              return DUMMY_CLASS.format(lowerCAmelCase    ,       lowerCAmelCase					)


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase=None					):
       if backend_specific_objects is None:
              _UpperCamelCase              =						read_init()
       # For special correspondence backend to module name as used in the function requires_modulename
       _UpperCamelCase              =						{}

       for backend, objects in backend_specific_objects.items():
              _UpperCamelCase              =						'''[''' + ''', '''.join(f'''"{b}"''' for b in backend.split('''_and_'''					)					) + ''']'''
              _UpperCamelCase              =						'''# This file is autogenerated by the command `make fix-copies`, do not edit.\n'''
              dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
              dummy_file += "\n".join([create_dummy_object(lowerCAmelCase    ,       lowerCAmelCase					) for o in objects]					)
              _UpperCamelCase              =						dummy_file

       return dummy_files


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase=False					):
       _UpperCamelCase              =						create_dummy_files()
       # For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
       _UpperCamelCase              =						{'''torch''': '''pt'''}

       # Locate actual dummy modules and read their content.
       _UpperCamelCase              =						os.path.join(lowerCAmelCase    ,       '''utils'''					)
       _UpperCamelCase              =						{
           backend: os.path.join(lowerCAmelCase    ,       f'''dummy_{short_names.get(lowerCAmelCase    ,       lowerCAmelCase					)}_objects.py'''					)
           for backend in dummy_files.keys()
       }

       _UpperCamelCase              =						{}
       for backend, file_path in dummy_file_paths.items():
              if os.path.isfile(lowerCAmelCase					):
                     with open(lowerCAmelCase    ,       '''r'''    ,       encoding='''utf-8'''    ,       newline='''\n'''					) as f:
                            _UpperCamelCase              =						f.read()
              else:
                     _UpperCamelCase              =						''''''

       for backend in dummy_files.keys():
              if dummy_files[backend] != actual_dummies[backend]:
                     if overwrite:
                            print(
                                f'''Updating diffusers.utils.dummy_{short_names.get(lowerCAmelCase    ,       lowerCAmelCase					)}_objects.py as the main '''
                                '''__init__ has new objects.'''					)
                            with open(dummy_file_paths[backend]    ,       '''w'''    ,       encoding='''utf-8'''    ,       newline='''\n'''					) as f:
                                   f.write(dummy_files[backend]					)
                     else:
                            raise ValueError(
                                '''The main __init__ has objects that are not present in '''
                                f'''diffusers.utils.dummy_{short_names.get(lowerCAmelCase    ,       lowerCAmelCase					)}_objects.py. Run `make fix-copies` '''
                                '''to fix this.'''					)


if __name__ == "__main__":
       lowercase    : Union[str, Any]    	=  argparse.ArgumentParser()
       parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
       lowercase    : Optional[int]    	=  parser.parse_args()

       check_dummies(args.fix_and_overwrite)













import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
       import torch

       from transformers.generation import (
           MaxLengthCriteria,
           MaxNewTokensCriteria,
           MaxTimeCriteria,
           StoppingCriteriaList,
           validate_stopping_criteria,
       )

@require_torch
class  __A(						unittest.TestCase ):

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						3
            _UpperCamelCase              =						250

            _UpperCamelCase              =						ids_tensor((batch_size, length),       A      )
            _UpperCamelCase              =						torch.ones((batch_size, length),       device=A,       dtype=torch.float      ) / length
            return input_ids, scores

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(5      )

            _UpperCamelCase              =						StoppingCriteriaList(
                [
                    MaxLengthCriteria(max_length=10      ),
                    MaxTimeCriteria(max_time=0.1      ),
                ]      )

            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(9      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(10      )
            self.assertTrue(criteria(A,       A      )      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						MaxLengthCriteria(max_length=10      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(5      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(9      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(10      )
            self.assertTrue(criteria(A,       A      )      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						MaxNewTokensCriteria(start_length=5,       max_new_tokens=5      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(5      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(9      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(10      )
            self.assertTrue(criteria(A,       A      )      )

            _UpperCamelCase              =						StoppingCriteriaList([criteria]      )
            self.assertEqual(criteria_list.max_length,       10      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase       ,		_UpperCamelCase              =						self._get_tensors(5      )

            _UpperCamelCase              =						MaxTimeCriteria(max_time=0.1      )
            self.assertFalse(criteria(A,       A      )      )

            _UpperCamelCase              =						MaxTimeCriteria(max_time=0.1,       initial_timestamp=time.time() - 0.2      )
            self.assertTrue(criteria(A,       A      )      )



     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      ),       10      )

            with self.assertWarns(A      ):
                   validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10      )]      ),       11      )

            _UpperCamelCase              =						validate_stopping_criteria(StoppingCriteriaList(),       11      )

            self.assertEqual(len(A      ),       1      )






