"""simple docstring"""



def    SCREAMING_SNAKE_CASE       (     snake_case):
     # if the collection is empty, returns empty
     if collection == []:
          return []

     # get some information about the collection
     __snake_case				=							len(_A)
     __snake_case				=							max(_A)
     __snake_case				=							min(_A)

     # create the counting array
     __snake_case				=							coll_max + 1 - coll_min
     __snake_case				=							[0] * counting_arr_length

     # count how much a number appears in the collection
     for number in collection:
          counting_arr[number - coll_min] += 1

     # sum each position with it's predecessors. now, counting_arr[i] tells
     # us how many elements <= i has in the collection
     for i in range(1,      _A):
          __snake_case				=							counting_arr[i] + counting_arr[i - 1]

     # create the output collection
     __snake_case				=							[0] * coll_len

     # place the elements in the output, respecting the original order (stable
     # sort) from end to begin, updating counting_arr
     for i in reversed(range(0,      _A)):
          __snake_case				=							collection[i]
          counting_arr[collection[i] - coll_min] -= 1

     return ordered





def    SCREAMING_SNAKE_CASE       (     snake_case):
     return "".join([chr(_A) for i in counting_sort([ord(_A) for c in string])])


if __name__ == "__main__":
       # Test string sort
       assert counting_sort_string("thisisthestring") == "eghhiiinrsssttt"

       __lowercase		:		int														=							input("Enter numbers separated by a comma:\n").strip()
       __lowercase		:		Optional[int]														=							[int(item) for item in user_input.split(",")]
       print(counting_sort(unsorted))
"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__lowercase		:		Dict														=							{
    "configuration_vision_text_dual_encoder": ["VisionTextDualEncoderConfig"],
    "processing_vision_text_dual_encoder": ["VisionTextDualEncoderProcessor"],
}


try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Optional[int]														=							["VisionTextDualEncoderModel"]


try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Optional[int]														=							["FlaxVisionTextDualEncoderModel"]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __lowercase		:		Any														=							["TFVisionTextDualEncoderModel"]


if TYPE_CHECKING:
       from .configuration_vision_text_dual_encoder import VisionTextDualEncoderConfig
       from .processing_vision_text_dual_encoder import VisionTextDualEncoderProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_vision_text_dual_encoder import VisionTextDualEncoderModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_vision_text_dual_encoder import FlaxVisionTextDualEncoderModel

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_vision_text_dual_encoder import TFVisionTextDualEncoderModel


else:
       import sys

       __lowercase		:		Tuple														=							_LazyModule(__name__, globals()["__file__"], _import_structure)