
'''simple docstring'''
from __future__ import annotations

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

a_     =  TypeVar("T", bound=bool)






class 				UpperCAmelCase_			(		Generic[T]   ):





 def __init__(      self	,    lowercase_):
     snake_case_	:      T            =  value
     snake_case_	:      RandomizedHeapNode[T] | None            =  None
     snake_case_	:      RandomizedHeapNode[T] | None            =  None





 @property
 def     snake_case__						(      self):
     return self._value





 @staticmethod
 def     snake_case__						(      lowercase_	,    lowercase_):
     if not roota:
         return roota

     if not roota:
         return roota

     if roota.value > roota.value:
         snake_case_	:      str            =  roota, roota

     if random.choice([True, False]):
         snake_case_	:      Dict            =  roota.right, roota.left

     snake_case_	:      Tuple            =  RandomizedHeapNode.merge(roota.left	,    lowercase_)

     return roota






class 				UpperCAmelCase_			(		Generic[T]   ):





 def __init__(      self	,    lowercase_ = ()):
     snake_case_	:      RandomizedHeapNode[T] | None            =  None

     if data:
         for item in data:
             self.insert(lowercase_)





 def     snake_case__						(      self	,    lowercase_):
     snake_case_	:      Any            =  RandomizedHeapNode.merge(self._root	,    RandomizedHeapNode(lowercase_))





 def     snake_case__						(      self):
     snake_case_	:      List[Any]            =  self.top()

     if self._root is None:
         return None

     snake_case_	:      int            =  RandomizedHeapNode.merge(self._root.left	,    self._root.right)

     return result





 def     snake_case__						(      self):
     if not self._root:
         raise IndexError("Can't get top element for the empty heap.")
     return self._root.value





 def     snake_case__						(      self):
     snake_case_	:      Optional[int]            =  None





 def     snake_case__						(      self):
     snake_case_	:      List[Any]            =  []
     while self:
         result.append(self.pop())

     return result





 def __bool__(      self):
     return self._root is not None


if __name__ == "__main__":
  import doctest

  doctest.testmod()







'''simple docstring'''
import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


a_     =  importlib.metadata.version("numpy")
a_     =  ".".join([str(x) for x in sys.version_info[:3]])






class 				UpperCAmelCase_			(		snake_case__   ):





 def     snake_case__						(      self):
     # lt + different version strings
     require_version_core("numpy<1000.4.5")
     require_version_core("numpy<1000.4")
     require_version_core("numpy<1000")

     # le
     require_version_core("numpy<=1000.4.5")
     require_version_core(F'numpy<={numpy_ver}')

     # eq
     require_version_core(F'numpy=={numpy_ver}')

     # ne
     require_version_core("numpy!=1000.4.5")

     # ge
     require_version_core("numpy>=1.0")
     require_version_core("numpy>=1.0.0")
     require_version_core(F'numpy>={numpy_ver}')

     # gt
     require_version_core("numpy>1.0.0")

     # mix
     require_version_core("numpy>1.0.0,<1000")

     # requirement w/o version
     require_version_core("numpy")

     # unmet requirements due to version conflict
     for req in ["numpy==1.0.0", "numpy>=1000.0.0", F'numpy<{numpy_ver}']:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn("but found"	,    str(lowercase_))

        # unmet requirements due to missing module
     for req in ["numpipypie>1", "numpipypie2"]:
         try:
             require_version_core(lowercase_)
         except importlib.metadata.PackageNotFoundError as e:
             self.assertIn(F'The \'{req}\' distribution was not found and is required by this application'	,    str(lowercase_))
             self.assertIn("Try: pip install transformers -U"	,    str(lowercase_))

        # bogus requirements formats:
        # 1. whole thing
     for req in ["numpy??1.0.0", "numpy1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("requirement needs to be in the pip package format"	,    str(lowercase_))
        # 2. only operators
     for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
         try:
             require_version_core(lowercase_)
         except ValueError as e:
             self.assertIn("need one of "	,    str(lowercase_))





 def     snake_case__						(      self):
     # matching requirement
     require_version("python>=3.6.0")

     # not matching requirements
     for req in ["python>9.9.9", "python<3.0.0"]:
         try:
             require_version_core(lowercase_)
         except ImportError as e:
             self.assertIn(F'{req} is required'	,    str(lowercase_))
             self.assertIn(F'but found python=={python_ver}'	,    str(lowercase_))




