class_docstr: A domain that takes on all integer values in a closed interval.
class_docstr_tok: ["A","domain","that","takes","on","all","integer","values","in","a","closed","interval","."]
docstr: Create an `IntInterval`.
  
  Args:
    min_value: The lower bound (inclusive) of the interval.
    max_value: The upper bound (inclusive) of the interval.
  
  Raises:
    TypeError: If `min_value` or `max_value` is not an `int`.
    ValueError: If `min_value > max_value`.
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code: def __init__(self, min_value=None, max_value=None):
      """Create an `IntInterval`.
  
      Args:
        min_value: The lower bound (inclusive) of the interval.
        max_value: The upper bound (inclusive) of the interval.
  
      Raises:
        TypeError: If `min_value` or `max_value` is not an `int`.
        ValueError: If `min_value > max_value`.
      """
      if not isinstance(min_value, int):
          raise TypeError("min_value must be an int: %r" % (min_value,))
      if not isinstance(max_value, int):
          raise TypeError("max_value must be an int: %r" % (max_value,))
      if min_value > max_value:
          raise ValueError("%r > %r" % (min_value, max_value))
      self._min_value = min_value
      self._max_value = max_value
  
imports: import abc
  import hashlib
  import json
  import random
  import time
  import numpy
  from tensorboard.compat import tf2
  from tensorboard.compat.proto import summary_pb2
  from tensorboard.plugins.hparams import api_pb2
  from tensorboard.plugins.hparams import metadata
  from tensorboard.plugins.hparams import plugin_data_pb2
label_desc: Use image node_id 1 to create a new IntInterval object from inherited base classes: Domain with example: obj = IntInterval(min_value, max_value)