# coding: utf-8
from enum import Enum
from six import string_types, iteritems
from bitmovin_api_sdk.common.poscheck import poscheck_model
from bitmovin_api_sdk.models.time_span import TimeSpan
import pprint
import six
[docs]class PsnrQualityMetric(object):
@poscheck_model
def __init__(self,
time_span=None,
psnr=None):
# type: (TimeSpan, float) -> None
self._time_span = None
self._psnr = None
self.discriminator = None
if time_span is not None:
self.time_span = time_span
if psnr is not None:
self.psnr = psnr
@property
def openapi_types(self):
types = {
'time_span': 'TimeSpan',
'psnr': 'float'
}
return types
@property
def attribute_map(self):
attributes = {
'time_span': 'timeSpan',
'psnr': 'psnr'
}
return attributes
@property
def time_span(self):
# type: () -> TimeSpan
"""Gets the time_span of this PsnrQualityMetric.
:return: The time_span of this PsnrQualityMetric.
:rtype: TimeSpan
"""
return self._time_span
@time_span.setter
def time_span(self, time_span):
# type: (TimeSpan) -> None
"""Sets the time_span of this PsnrQualityMetric.
:param time_span: The time_span of this PsnrQualityMetric.
:type: TimeSpan
"""
if time_span is not None:
if not isinstance(time_span, TimeSpan):
raise TypeError("Invalid type for `time_span`, type has to be `TimeSpan`")
self._time_span = time_span
@property
def psnr(self):
# type: () -> float
"""Gets the psnr of this PsnrQualityMetric.
Peak signal-to-noise ratio (required)
:return: The psnr of this PsnrQualityMetric.
:rtype: float
"""
return self._psnr
@psnr.setter
def psnr(self, psnr):
# type: (float) -> None
"""Sets the psnr of this PsnrQualityMetric.
Peak signal-to-noise ratio (required)
:param psnr: The psnr of this PsnrQualityMetric.
:type: float
"""
if psnr is not None:
if not isinstance(psnr, (float, int)):
raise TypeError("Invalid type for `psnr`, type has to be `float`")
self._psnr = psnr
[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, PsnrQualityMetric):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other