# coding: utf-8
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
import pprint
import six
[docs]class AutoRepresentation(object):
@poscheck_model
def __init__(self,
adopt_configuration_threshold=None):
# type: (float) -> None
self._adopt_configuration_threshold = None
self.discriminator = None
if adopt_configuration_threshold is not None:
self.adopt_configuration_threshold = adopt_configuration_threshold
@property
def openapi_types(self):
types = {
'adopt_configuration_threshold': 'float'
}
return types
@property
def attribute_map(self):
attributes = {
'adopt_configuration_threshold': 'adoptConfigurationThreshold'
}
return attributes
@property
def adopt_configuration_threshold(self):
# type: () -> float
"""Gets the adopt_configuration_threshold of this AutoRepresentation.
This is the threshold that determines whether the settings of the lower or the upper template representation (codec configuration) should be used, when representations are added automatically. The value must be between 0 and 1. Values nearer 0 will favour the higher representation, values nearer 1 will favour the lower representation.
:return: The adopt_configuration_threshold of this AutoRepresentation.
:rtype: float
"""
return self._adopt_configuration_threshold
@adopt_configuration_threshold.setter
def adopt_configuration_threshold(self, adopt_configuration_threshold):
# type: (float) -> None
"""Sets the adopt_configuration_threshold of this AutoRepresentation.
This is the threshold that determines whether the settings of the lower or the upper template representation (codec configuration) should be used, when representations are added automatically. The value must be between 0 and 1. Values nearer 0 will favour the higher representation, values nearer 1 will favour the lower representation.
:param adopt_configuration_threshold: The adopt_configuration_threshold of this AutoRepresentation.
:type: float
"""
if adopt_configuration_threshold is not None:
if not isinstance(adopt_configuration_threshold, (float, int)):
raise TypeError("Invalid type for `adopt_configuration_threshold`, type has to be `float`")
self._adopt_configuration_threshold = adopt_configuration_threshold
[docs] def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if value is None:
continue
if isinstance(value, list):
if len(value) == 0:
continue
result[self.attribute_map.get(attr)] = [y.value if isinstance(y, Enum) else y for y in [x.to_dict() if hasattr(x, "to_dict") else x for x in value]]
elif hasattr(value, "to_dict"):
result[self.attribute_map.get(attr)] = value.to_dict()
elif isinstance(value, Enum):
result[self.attribute_map.get(attr)] = value.value
elif isinstance(value, dict):
result[self.attribute_map.get(attr)] = {k: (v.to_dict() if hasattr(v, "to_dict") else v) for (k, v) in value.items()}
else:
result[self.attribute_map.get(attr)] = value
return result
[docs] def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, AutoRepresentation):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other