

"""simple docstring"""






import inspect
import unittest

import numpy as np

from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor


if is_flax_available():
  import jax

  from transformers.models.vit.modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel
class        _lowercase					(     unittest.TestCase     ):







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_=13 ,						UpperCamelCase_=30 ,						UpperCamelCase_=2 ,						UpperCamelCase_=3 ,						UpperCamelCase_=True ,						UpperCamelCase_=True ,						UpperCamelCase_=32 ,						UpperCamelCase_=5 ,						UpperCamelCase_=4 ,						UpperCamelCase_=37 ,						UpperCamelCase_="gelu" ,						UpperCamelCase_=0.1 ,						UpperCamelCase_=0.1 ,						UpperCamelCase_=10 ,						UpperCamelCase_=0.0_2 ,						):
      __magic_name__     =      parent
      __magic_name__     =      batch_size
      __magic_name__     =      image_size
      __magic_name__     =      patch_size
      __magic_name__     =      num_channels
      __magic_name__     =      is_training
      __magic_name__     =      use_labels
      __magic_name__     =      hidden_size
      __magic_name__     =      num_hidden_layers
      __magic_name__     =      num_attention_heads
      __magic_name__     =      intermediate_size
      __magic_name__     =      hidden_act
      __magic_name__     =      hidden_dropout_prob
      __magic_name__     =      attention_probs_dropout_prob
      __magic_name__     =      type_sequence_label_size
      __magic_name__     =      initializer_range

      # in ViT, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
      __magic_name__     =      (image_size // patch_size) ** 2
      __magic_name__     =      num_patches + 1







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size]       )

      __magic_name__     =      ViTConfig(
          image_size=self.image_size ,						patch_size=self.patch_size ,						num_channels=self.num_channels ,						hidden_size=self.hidden_size ,						num_hidden_layers=self.num_hidden_layers ,						num_attention_heads=self.num_attention_heads ,						intermediate_size=self.intermediate_size ,						hidden_act=self.hidden_act ,						hidden_dropout_prob=self.hidden_dropout_prob ,						attention_probs_dropout_prob=self.attention_probs_dropout_prob ,						is_decoder=A_ ,						initializer_range=self.initializer_range ,						)

      return config, pixel_values







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      FlaxViTModel(config=A_       )
      __magic_name__     =      model(A_       )
      # expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
      __magic_name__     =      (self.image_size, self.image_size)
      __magic_name__     =      (self.patch_size, self.patch_size)
      __magic_name__     =      (image_size[1] // patch_size[1]) * (image_size[0] // patch_size[0])
      self.parent.assertEqual(result.last_hidden_state.shape ,						(self.batch_size, num_patches + 1, self.hidden_size)       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      self.type_sequence_label_size
      __magic_name__     =      FlaxViTForImageClassification(config=A_       )
      __magic_name__     =      model(A_       )
      self.parent.assertEqual(result.logits.shape ,						(self.batch_size, self.type_sequence_label_size)       )

      # test greyscale images
      __magic_name__     =      1
      __magic_name__     =      FlaxViTForImageClassification(A_       )

      __magic_name__     =      floats_tensor([self.batch_size, 1, self.image_size, self.image_size]       )
      __magic_name__     =      model(A_       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.prepare_config_and_inputs()
      (
          (
          __magic_name__	
      )   ,						(
          __magic_name__	
      )   ,							
      )     =      config_and_inputs
      __magic_name__     =      {'''pixel_values''': pixel_values}
      return config, inputs_dict


@require_flax
class        _lowercase					(     _UpperCAmelCase   , unittest.TestCase     ):
     _lowerCamelCase     =       (FlaxViTModel, FlaxViTForImageClassification) if is_flax_available() else ()







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      FlaxViTModelTester(self       )
      __magic_name__     =      ConfigTester(self ,						config_class=A_ ,						has_text_modality=A_ ,						hidden_size=37       )







     def 	lowerCAmelCase__    (      self       ):
      self.config_tester.run_common_tests()







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_model(*A_       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__     =      self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_for_image_classification(*A_       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__   ,						__magic_name__     =      self.model_tester.prepare_config_and_inputs_for_common()

      for model_class in self.all_model_classes:
       __magic_name__     =      model_class(A_       )
       __magic_name__     =      inspect.signature(model.__call__       )
       # signature.parameters is an OrderedDict => so arg_names order is deterministic
       __magic_name__     =      [*signature.parameters.keys()]

       __magic_name__     =      ['''pixel_values''']
       self.assertListEqual(arg_names[:1] ,						A_       )







     def 	lowerCAmelCase__    (      self       ):
      __magic_name__   ,						__magic_name__     =      self.model_tester.prepare_config_and_inputs_for_common()

      for model_class in self.all_model_classes:
       with self.subTest(model_class.__name__       ):
        __magic_name__     =      self._prepare_for_class(A_ ,						A_       )
        __magic_name__     =      model_class(A_       )

        @jax.jit
        def model_jitted(UpperCamelCase_ ,						**UpperCamelCase_       ):
         return model(pixel_values=A_ ,						**A_       )

        with self.subTest('''JIT Enabled'''       ):
         __magic_name__     =      model_jitted(**A_       ).to_tuple()

        with self.subTest('''JIT Disabled'''       ):
         with jax.disable_jit():
          __magic_name__     =      model_jitted(**A_       ).to_tuple()

        self.assertEqual(len(A_       ) ,						len(A_       )       )
        for jitted_output, output in zip(A_ ,						A_       ):
         self.assertEqual(jitted_output.shape ,						output.shape       )







     @slow
     def 	lowerCAmelCase__    (      self       ):
      for model_class_name in self.all_model_classes:
       __magic_name__     =      model_class_name.from_pretrained('''google/vit-base-patch16-224'''       )
       __magic_name__     =      model(np.ones((1, 3, 224, 224)       )       )
       self.assertIsNotNone(A_       )




"""simple docstring"""






from collections.abc import Sequence
from queue import Queue
class        _lowercase					:







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_=None ,						UpperCamelCase_=None       ):
      __magic_name__     =      start
      __magic_name__     =      end
      __magic_name__     =      val
      __magic_name__     =      (start + end) // 2
      __magic_name__     =      left
      __magic_name__     =      right







     def __repr__(      self       ):
      return f'''SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'''


class        _lowercase					:







     def __init__(      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      __magic_name__     =      collection
      __magic_name__     =      function
      if self.collection:
       __magic_name__     =      self._build_tree(0 ,						len(UpperCamelCase_       ) - 1       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      self._update_tree(self.root ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      return self._query_range(self.root ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if start == end:
       return SegmentTreeNode(UpperCamelCase_ ,						UpperCamelCase_ ,						self.collection[start]       )
      __magic_name__     =      (start + end) // 2
      __magic_name__     =      self._build_tree(UpperCamelCase_ ,						UpperCamelCase_       )
      __magic_name__     =      self._build_tree(mid + 1 ,						UpperCamelCase_       )
      return SegmentTreeNode(UpperCamelCase_ ,						UpperCamelCase_ ,						self.fn(left.val ,						right.val       ) ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if node.start == i and node.end == i:
       __magic_name__     =      val
       return
      if i <= node.mid:
       self._update_tree(node.left ,						UpperCamelCase_ ,						UpperCamelCase_       )
      else:
       self._update_tree(node.right ,						UpperCamelCase_ ,						UpperCamelCase_       )
      __magic_name__     =      self.fn(node.left.val ,						node.right.val       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      if node.start == i and node.end == j:
       return node.val

      if i <= node.mid:
       if j <= node.mid:
        # range in left child tree
        return self._query_range(node.left ,						UpperCamelCase_ ,						UpperCamelCase_       )
       else:
        # range in left child tree and right child tree
        return self.fn(
            self._query_range(node.left ,						UpperCamelCase_ ,						node.mid       ) ,						self._query_range(node.right ,						node.mid + 1 ,						UpperCamelCase_       ) ,						)
      else:
       # range in right child tree
       return self._query_range(node.right ,						UpperCamelCase_ ,						UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      if self.root is not None:
       __magic_name__     =      Queue()
       queue.put(self.root       )
       while not queue.empty():
        __magic_name__     =      queue.get()
        yield node

        if node.left is not None:
         queue.put(node.left       )

        if node.right is not None:
         queue.put(node.right       )


if __name__ == "__main__":
 import operator

 for fn in [operator.add, max, min]:
  print("*" * 50)
  __lowerCamelCase										=		SegmentTree([2, 1, 5, 3, 4], fn)
  for node in arr.traverse():
   print(node)
  print()

  arr.update(1, 5)
  for node in arr.traverse():
   print(node)
  print()

  print(arr.query_range(3, 4))  # 7
  print(arr.query_range(2, 2))  # 5
  print(arr.query_range(1, 3))  # 13
  print()

