
'''simple docstring'''
from collections import OrderedDict

from ...utils import logging
from .auto_factory import _BaseAutoModelClass, _LazyAutoMapping, auto_class_update
from .configuration_auto import CONFIG_MAPPING_NAMES


__lowerCAmelCase					=			logging.get_logger(__name__)


__lowerCAmelCase					=			OrderedDict(
    [
        # Base model mapping
        ('albert', 'FlaxAlbertModel'),
        ('bart', 'FlaxBartModel'),
        ('beit', 'FlaxBeitModel'),
        ('bert', 'FlaxBertModel'),
        ('big_bird', 'FlaxBigBirdModel'),
        ('blenderbot', 'FlaxBlenderbotModel'),
        ('blenderbot-small', 'FlaxBlenderbotSmallModel'),
        ('clip', 'FlaxCLIPModel'),
        ('distilbert', 'FlaxDistilBertModel'),
        ('electra', 'FlaxElectraModel'),
        ('gpt-sw3', 'FlaxGPT2Model'),
        ('gpt2', 'FlaxGPT2Model'),
        ('gpt_neo', 'FlaxGPTNeoModel'),
        ('gptj', 'FlaxGPTJModel'),
        ('longt5', 'FlaxLongT5Model'),
        ('marian', 'FlaxMarianModel'),
        ('mbart', 'FlaxMBartModel'),
        ('mt5', 'FlaxMT5Model'),
        ('opt', 'FlaxOPTModel'),
        ('pegasus', 'FlaxPegasusModel'),
        ('regnet', 'FlaxRegNetModel'),
        ('resnet', 'FlaxResNetModel'),
        ('roberta', 'FlaxRobertaModel'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormModel'),
        ('roformer', 'FlaxRoFormerModel'),
        ('t5', 'FlaxT5Model'),
        ('vision-text-dual-encoder', 'FlaxVisionTextDualEncoderModel'),
        ('vit', 'FlaxViTModel'),
        ('wav2vec2', 'FlaxWav2Vec2Model'),
        ('whisper', 'FlaxWhisperModel'),
        ('xglm', 'FlaxXGLMModel'),
        ('xlm-roberta', 'FlaxXLMRobertaModel'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for pre-training mapping
        ('albert', 'FlaxAlbertForPreTraining'),
        ('bart', 'FlaxBartForConditionalGeneration'),
        ('bert', 'FlaxBertForPreTraining'),
        ('big_bird', 'FlaxBigBirdForPreTraining'),
        ('electra', 'FlaxElectraForPreTraining'),
        ('longt5', 'FlaxLongT5ForConditionalGeneration'),
        ('mbart', 'FlaxMBartForConditionalGeneration'),
        ('mt5', 'FlaxMT5ForConditionalGeneration'),
        ('roberta', 'FlaxRobertaForMaskedLM'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForMaskedLM'),
        ('roformer', 'FlaxRoFormerForMaskedLM'),
        ('t5', 'FlaxT5ForConditionalGeneration'),
        ('wav2vec2', 'FlaxWav2Vec2ForPreTraining'),
        ('whisper', 'FlaxWhisperForConditionalGeneration'),
        ('xlm-roberta', 'FlaxXLMRobertaForMaskedLM'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Masked LM mapping
        ('albert', 'FlaxAlbertForMaskedLM'),
        ('bart', 'FlaxBartForConditionalGeneration'),
        ('bert', 'FlaxBertForMaskedLM'),
        ('big_bird', 'FlaxBigBirdForMaskedLM'),
        ('distilbert', 'FlaxDistilBertForMaskedLM'),
        ('electra', 'FlaxElectraForMaskedLM'),
        ('mbart', 'FlaxMBartForConditionalGeneration'),
        ('roberta', 'FlaxRobertaForMaskedLM'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForMaskedLM'),
        ('roformer', 'FlaxRoFormerForMaskedLM'),
        ('xlm-roberta', 'FlaxXLMRobertaForMaskedLM'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Seq2Seq Causal LM mapping
        ('bart', 'FlaxBartForConditionalGeneration'),
        ('blenderbot', 'FlaxBlenderbotForConditionalGeneration'),
        ('blenderbot-small', 'FlaxBlenderbotSmallForConditionalGeneration'),
        ('encoder-decoder', 'FlaxEncoderDecoderModel'),
        ('longt5', 'FlaxLongT5ForConditionalGeneration'),
        ('marian', 'FlaxMarianMTModel'),
        ('mbart', 'FlaxMBartForConditionalGeneration'),
        ('mt5', 'FlaxMT5ForConditionalGeneration'),
        ('pegasus', 'FlaxPegasusForConditionalGeneration'),
        ('t5', 'FlaxT5ForConditionalGeneration'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Image-classsification
        ('beit', 'FlaxBeitForImageClassification'),
        ('regnet', 'FlaxRegNetForImageClassification'),
        ('resnet', 'FlaxResNetForImageClassification'),
        ('vit', 'FlaxViTForImageClassification'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        ('vision-encoder-decoder', 'FlaxVisionEncoderDecoderModel'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Causal LM mapping
        ('bart', 'FlaxBartForCausalLM'),
        ('bert', 'FlaxBertForCausalLM'),
        ('big_bird', 'FlaxBigBirdForCausalLM'),
        ('electra', 'FlaxElectraForCausalLM'),
        ('gpt-sw3', 'FlaxGPT2LMHeadModel'),
        ('gpt2', 'FlaxGPT2LMHeadModel'),
        ('gpt_neo', 'FlaxGPTNeoForCausalLM'),
        ('gptj', 'FlaxGPTJForCausalLM'),
        ('opt', 'FlaxOPTForCausalLM'),
        ('roberta', 'FlaxRobertaForCausalLM'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForCausalLM'),
        ('xglm', 'FlaxXGLMForCausalLM'),
        ('xlm-roberta', 'FlaxXLMRobertaForCausalLM'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Sequence Classification mapping
        ('albert', 'FlaxAlbertForSequenceClassification'),
        ('bart', 'FlaxBartForSequenceClassification'),
        ('bert', 'FlaxBertForSequenceClassification'),
        ('big_bird', 'FlaxBigBirdForSequenceClassification'),
        ('distilbert', 'FlaxDistilBertForSequenceClassification'),
        ('electra', 'FlaxElectraForSequenceClassification'),
        ('mbart', 'FlaxMBartForSequenceClassification'),
        ('roberta', 'FlaxRobertaForSequenceClassification'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForSequenceClassification'),
        ('roformer', 'FlaxRoFormerForSequenceClassification'),
        ('xlm-roberta', 'FlaxXLMRobertaForSequenceClassification'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Question Answering mapping
        ('albert', 'FlaxAlbertForQuestionAnswering'),
        ('bart', 'FlaxBartForQuestionAnswering'),
        ('bert', 'FlaxBertForQuestionAnswering'),
        ('big_bird', 'FlaxBigBirdForQuestionAnswering'),
        ('distilbert', 'FlaxDistilBertForQuestionAnswering'),
        ('electra', 'FlaxElectraForQuestionAnswering'),
        ('mbart', 'FlaxMBartForQuestionAnswering'),
        ('roberta', 'FlaxRobertaForQuestionAnswering'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForQuestionAnswering'),
        ('roformer', 'FlaxRoFormerForQuestionAnswering'),
        ('xlm-roberta', 'FlaxXLMRobertaForQuestionAnswering'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Token Classification mapping
        ('albert', 'FlaxAlbertForTokenClassification'),
        ('bert', 'FlaxBertForTokenClassification'),
        ('big_bird', 'FlaxBigBirdForTokenClassification'),
        ('distilbert', 'FlaxDistilBertForTokenClassification'),
        ('electra', 'FlaxElectraForTokenClassification'),
        ('roberta', 'FlaxRobertaForTokenClassification'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForTokenClassification'),
        ('roformer', 'FlaxRoFormerForTokenClassification'),
        ('xlm-roberta', 'FlaxXLMRobertaForTokenClassification'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        # Model for Multiple Choice mapping
        ('albert', 'FlaxAlbertForMultipleChoice'),
        ('bert', 'FlaxBertForMultipleChoice'),
        ('big_bird', 'FlaxBigBirdForMultipleChoice'),
        ('distilbert', 'FlaxDistilBertForMultipleChoice'),
        ('electra', 'FlaxElectraForMultipleChoice'),
        ('roberta', 'FlaxRobertaForMultipleChoice'),
        ('roberta-prelayernorm', 'FlaxRobertaPreLayerNormForMultipleChoice'),
        ('roformer', 'FlaxRoFormerForMultipleChoice'),
        ('xlm-roberta', 'FlaxXLMRobertaForMultipleChoice'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        ('bert', 'FlaxBertForNextSentencePrediction'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        ('speech-encoder-decoder', 'FlaxSpeechEncoderDecoderModel'),
        ('whisper', 'FlaxWhisperForConditionalGeneration'),
    ]
)

__lowerCAmelCase					=			OrderedDict(
    [
        ('whisper', 'FlaxWhisperForAudioClassification'),
    ]
)

__lowerCAmelCase					=			_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_MAPPING_NAMES)
__lowerCAmelCase					=			_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_PRETRAINING_MAPPING_NAMES)
__lowerCAmelCase					=			_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_MASKED_LM_MAPPING_NAMES)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING_NAMES)
__lowerCAmelCase					=			_LazyAutoMapping(CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_CAUSAL_LM_MAPPING_NAMES)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING_NAMES
)
__lowerCAmelCase					=			_LazyAutoMapping(
    CONFIG_MAPPING_NAMES, FLAX_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING_NAMES
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModel)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_PRETRAINING_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForPreTraining, head_doc='pretraining')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_CAUSAL_LM_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForCausalLM, head_doc='causal language modeling')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_MASKED_LM_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForMaskedLM, head_doc='masked language modeling')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForSeqaSeqLM, head_doc='sequence-to-sequence language modeling', checkpoint_for_example='t5-base'
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_SEQUENCE_CLASSIFICATION_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForSequenceClassification, head_doc='sequence classification'
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_QUESTION_ANSWERING_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForQuestionAnswering, head_doc='question answering')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_TOKEN_CLASSIFICATION_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForTokenClassification, head_doc='token classification'
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_MULTIPLE_CHOICE_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForMultipleChoice, head_doc='multiple choice')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_NEXT_SENTENCE_PREDICTION_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForNextSentencePrediction, head_doc='next sentence prediction'
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_IMAGE_CLASSIFICATION_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForImageClassification, head_doc='image classification'
)


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_VISION_2_SEQ_MAPPING
__lowerCAmelCase					=			auto_class_update(FlaxAutoModelForVisionaSeq, head_doc='vision-to-text modeling')


class      _lowerCAmelCase       (       _BaseAutoModelClass ):







							'''simple docstring'''

							lowerCAmelCase_   		=		FLAX_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING
__lowerCAmelCase					=			auto_class_update(
    FlaxAutoModelForSpeechSeqaSeq, head_doc='sequence-to-sequence speech-to-text modeling'
)






"""simple docstring"""





from __future__ import annotations

import math
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->bool:





  """simple docstring"""


  if 1 < number < 4:
    # 2 and 3 are primes
    return True
  elif number < 2 or number % 2 == 0 or number % 3 == 0:
    # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
    return False

  # All primes number are in format of 6k +/- 1
  for i in range(5	,  int(math.sqrt(_SCREAMING_SNAKE_CASE     ) + 1     )	,  6     ):
    if number % i == 0 or number % (i + 2) == 0:
      return False
  return True


__A											=						[num for num in range(3, 10_0001, 2) if not is_prime(num)]
def 					__A  (_SCREAMING_SNAKE_CASE     )   ->list[int]:





  """simple docstring"""


  if not isinstance(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     ):
    raise ValueError('n must be an integer'     )
  if n <= 0:
    raise ValueError('n must be >= 0'     )

  lowerCAmelCase__     :Tuple											=				[]
  for num in range(len(_SCREAMING_SNAKE_CASE     )     ):
    lowerCAmelCase__     :int											=				0
    while 2 * i * i <= odd_composites[num]:
      lowerCAmelCase__     :int											=				odd_composites[num] - 2 * i * i
      if is_prime(_SCREAMING_SNAKE_CASE     ):
        break
      i += 1
    else:
      list_nums.append(odd_composites[num]     )
      if len(_SCREAMING_SNAKE_CASE     ) == n:
        return list_nums

  return []
def 					__A  ()   ->int:





  """simple docstring"""


  return compute_nums(1     )[0]


if __name__ == "__main__":
  print(F'''{solution() = }''')
