# 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.pcc_hdr_confidence import PccHdrConfidence
from bitmovin_api_sdk.models.pcc_hdr_outcome import PccHdrOutcome
import pprint
import six
[docs]
class PccHdrOutcomeCount(object):
@poscheck_model
def __init__(self,
outcome=None,
confidence=None,
label=None,
cells=None):
# type: (PccHdrOutcome, PccHdrConfidence, string_types, float) -> None
self._outcome = None
self._confidence = None
self._label = None
self._cells = None
self.discriminator = None
if outcome is not None:
self.outcome = outcome
if confidence is not None:
self.confidence = confidence
if label is not None:
self.label = label
if cells is not None:
self.cells = cells
@property
def openapi_types(self):
types = {
'outcome': 'PccHdrOutcome',
'confidence': 'PccHdrConfidence',
'label': 'string_types',
'cells': 'float'
}
return types
@property
def attribute_map(self):
attributes = {
'outcome': 'outcome',
'confidence': 'confidence',
'label': 'label',
'cells': 'cells'
}
return attributes
@property
def outcome(self):
# type: () -> PccHdrOutcome
"""Gets the outcome of this PccHdrOutcomeCount.
:return: The outcome of this PccHdrOutcomeCount.
:rtype: PccHdrOutcome
"""
return self._outcome
@outcome.setter
def outcome(self, outcome):
# type: (PccHdrOutcome) -> None
"""Sets the outcome of this PccHdrOutcomeCount.
:param outcome: The outcome of this PccHdrOutcomeCount.
:type: PccHdrOutcome
"""
if outcome is not None:
if not isinstance(outcome, PccHdrOutcome):
raise TypeError("Invalid type for `outcome`, type has to be `PccHdrOutcome`")
self._outcome = outcome
@property
def confidence(self):
# type: () -> PccHdrConfidence
"""Gets the confidence of this PccHdrOutcomeCount.
Null only for unreported readings. Evidence includes both HDR and SDR outcomes. (required)
:return: The confidence of this PccHdrOutcomeCount.
:rtype: PccHdrConfidence
"""
return self._confidence
@confidence.setter
def confidence(self, confidence):
# type: (PccHdrConfidence) -> None
"""Sets the confidence of this PccHdrOutcomeCount.
Null only for unreported readings. Evidence includes both HDR and SDR outcomes. (required)
:param confidence: The confidence of this PccHdrOutcomeCount.
:type: PccHdrConfidence
"""
if confidence is not None:
if not isinstance(confidence, PccHdrConfidence):
raise TypeError("Invalid type for `confidence`, type has to be `PccHdrConfidence`")
self._confidence = confidence
@property
def label(self):
# type: () -> string_types
"""Gets the label of this PccHdrOutcomeCount.
:return: The label of this PccHdrOutcomeCount.
:rtype: string_types
"""
return self._label
@label.setter
def label(self, label):
# type: (string_types) -> None
"""Sets the label of this PccHdrOutcomeCount.
:param label: The label of this PccHdrOutcomeCount.
:type: string_types
"""
if label is not None:
if not isinstance(label, string_types):
raise TypeError("Invalid type for `label`, type has to be `string_types`")
self._label = label
@property
def cells(self):
# type: () -> float
"""Gets the cells of this PccHdrOutcomeCount.
Selected HDR playback passes with this outcome. All six outcomes sum to HDR passes. (required)
:return: The cells of this PccHdrOutcomeCount.
:rtype: float
"""
return self._cells
@cells.setter
def cells(self, cells):
# type: (float) -> None
"""Sets the cells of this PccHdrOutcomeCount.
Selected HDR playback passes with this outcome. All six outcomes sum to HDR passes. (required)
:param cells: The cells of this PccHdrOutcomeCount.
:type: float
"""
if cells is not None:
if not isinstance(cells, (float, int)):
raise TypeError("Invalid type for `cells`, type has to be `float`")
self._cells = cells
[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, PccHdrOutcomeCount):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Returns true if both objects are not equal"""
return not self == other