
"""simple docstring"""


from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE      =     {"""configuration_xglm""": ["""XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XGLMConfig"""]}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     ["""XGLMTokenizer"""]

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     ["""XGLMTokenizerFast"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     [
          """XGLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """XGLMForCausalLM""",
          """XGLMModel""",
          """XGLMPreTrainedModel""",
      ]


try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     [
          """FlaxXGLMForCausalLM""",
          """FlaxXGLMModel""",
          """FlaxXGLMPreTrainedModel""",
      ]


try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE      =     [
          """TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFXGLMForCausalLM""",
          """TFXGLMModel""",
          """TFXGLMPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xglm import XGLMTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xglm_fast import XGLMTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_xglm import (
                TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFXGLMForCausalLM,
                TFXGLMModel,
                TFXGLMPreTrainedModel,
            )


else:
      import sys

      SCREAMING_SNAKE_CASE      =     _LazyModule(__name__, globals()["""__file__"""], _import_structure)







"""simple docstring"""


from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE      =     TypeVar("""T""")



class   __a  (      Generic[T]	):






       def __init__(  self :							List[Any]       ,      UpperCAmelCase_ :							T			)->  None:







              """simple docstring"""
              UpperCamelCase					 =		data
              UpperCamelCase					 =		self
              UpperCamelCase					 =		0





class   __a  (      Generic[T]	):






       def __init__(  self :							int			)->  None:







              """simple docstring"""
              # map from node name to the node object
              UpperCamelCase					 =		{}






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]       ,      UpperCAmelCase_ :							T			)->  None:







              """simple docstring"""
              # create a new set with x as its member
              UpperCamelCase					 =		DisjointSetTreeNode(UpperCAmelCase_			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[Any]       ,      UpperCAmelCase_ :							T			)->  DisjointSetTreeNode[T]:







              """simple docstring"""
              # find the set x belongs to (with path-compression)
              UpperCamelCase					 =		self.map[data]
              if elem_ref != elem_ref.parent:
                     UpperCamelCase					 =		self.find_set(elem_ref.parent.data			)
              return elem_ref.parent






       def 	_SCREAMING_SNAKE_CASE       (  self :							Any       ,      UpperCAmelCase_ :							DisjointSetTreeNode[T]       ,      UpperCAmelCase_ :							DisjointSetTreeNode[T]			)->  None:







              """simple docstring"""
              # helper function for union operation
              if nodea.rank > nodea.rank:
                     UpperCamelCase					 =		nodea
              else:
                     UpperCamelCase					 =		nodea
                     if nodea.rank == nodea.rank:
                            nodea.rank += 1






       def 	_SCREAMING_SNAKE_CASE       (  self :							int       ,      UpperCAmelCase_ :							T       ,      UpperCAmelCase_ :							T			)->  None:







              """simple docstring"""
              # merge 2 disjoint sets
              self.link(self.find_set(UpperCAmelCase_			)       ,      self.find_set(UpperCAmelCase_			)			)





class   __a  (      Generic[T]	):






       def __init__(  self :							Dict			)->  None:







              """simple docstring"""
              # connections: map from the node to the neighbouring nodes (with weights)
              UpperCamelCase					 =		{}






       def 	_SCREAMING_SNAKE_CASE       (  self :							Any       ,      UpperCAmelCase_ :							T			)->  None:







              """simple docstring"""
              # add a node ONLY if its not present in the graph
              if node not in self.connections:
                     UpperCamelCase					 =		{}






       def 	_SCREAMING_SNAKE_CASE       (  self :							Optional[Any]       ,      UpperCAmelCase_ :							T       ,      UpperCAmelCase_ :							T       ,      UpperCAmelCase_ :							int			)->  None:







              """simple docstring"""
              # add an edge with the given weight
              self.add_node(UpperCAmelCase_			)
              self.add_node(UpperCAmelCase_			)
              UpperCamelCase					 =		weight
              UpperCamelCase					 =		weight






       def 	_SCREAMING_SNAKE_CASE       (  self :							Tuple			)->  GraphUndirectedWeighted[T]:







              """simple docstring"""
              UpperCamelCase					 =		[]
              UpperCamelCase					 =		set()
              for start in self.connections:
                     for end in self.connections[start]:
                            if (start, end) not in seen:
                                   seen.add((end, start)			)
                                   edges.append((start, end, self.connections[start][end])			)
              edges.sort(key=lambda UpperCAmelCase_			: x[2]			)

              # creating the disjoint set
              UpperCamelCase					 =		DisjointSetTree[T]()
              for node in self.connections:
                     disjoint_set.make_set(UpperCAmelCase_			)

              # MST generation
              UpperCamelCase					 =		0
              UpperCamelCase					 =		0
              UpperCamelCase					 =		GraphUndirectedWeighted[T]()
              while num_edges < len(self.connections			) - 1:
                     UpperCamelCase ,       UpperCamelCase ,       UpperCamelCase					 =		edges[index]
                     index += 1
                     UpperCamelCase					 =		disjoint_set.find_set(UpperCAmelCase_			)
                     UpperCamelCase					 =		disjoint_set.find_set(UpperCAmelCase_			)
                     if parent_u != parent_v:
                            num_edges += 1
                            graph.add_edge(UpperCAmelCase_       ,      UpperCAmelCase_       ,      UpperCAmelCase_			)
                            disjoint_set.union(UpperCAmelCase_       ,      UpperCAmelCase_			)
              return graph





