=begin #Datadog API V2 Collection #Collection of all Datadog Public endpoints. The version of the OpenAPI document: 1.0 Contact: support@datadoghq.com Generated by: https://github.com/DataDog/datadog-api-client-ruby/tree/master/.generator Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. This product includes software developed at Datadog (https://www.datadoghq.com/). Copyright 2020-Present Datadog, Inc. =end require 'date' require 'time' module DatadogAPIClient::V2 # Used to perform a histogram computation (only for measure facets). # At most, 100 buckets are allowed, the number of buckets is `(max - min)/interval`. class CIAppGroupByHistogram include BaseGenericModel # Whether the object has unparsed attributes # @!visibility private attr_accessor :_unparsed # The bin size of the histogram buckets. attr_reader :interval # The maximum value for the measure used in the histogram # (values greater than this one are filtered out). attr_reader :max # The minimum value for the measure used in the histogram # (values smaller than this one are filtered out). attr_reader :min # Attribute mapping from ruby-style variable name to JSON key. # @!visibility private def self.attribute_map { :'interval' => :'interval', :'max' => :'max', :'min' => :'min' } end # Attribute type mapping. # @!visibility private def self.openapi_types { :'interval' => :'Float', :'max' => :'Float', :'min' => :'Float' } end # Initializes the object # @param attributes [Hash] Model attributes in the form of hash # @!visibility private def initialize(attributes = {}) if (!attributes.is_a?(Hash)) fail ArgumentError, "The input argument (attributes) must be a hash in `DatadogAPIClient::V2::CIAppGroupByHistogram` initialize method" end # check to see if the attribute exists and convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| if (!self.class.attribute_map.key?(k.to_sym)) fail ArgumentError, "`#{k}` is not a valid attribute in `DatadogAPIClient::V2::CIAppGroupByHistogram`. Please check the name to make sure it's valid. List of attributes: " + self.class.attribute_map.keys.inspect end h[k.to_sym] = v } if attributes.key?(:'interval') self.interval = attributes[:'interval'] end if attributes.key?(:'max') self.max = attributes[:'max'] end if attributes.key?(:'min') self.min = attributes[:'min'] end end # Check to see if the all the properties in the model are valid # @return true if the model is valid # @!visibility private def valid? return false if @interval.nil? return false if @max.nil? return false if @min.nil? true end # Custom attribute writer method with validation # @param interval [Object] Object to be assigned # @!visibility private def interval=(interval) if interval.nil? fail ArgumentError, 'invalid value for "interval", interval cannot be nil.' end @interval = interval end # Custom attribute writer method with validation # @param max [Object] Object to be assigned # @!visibility private def max=(max) if max.nil? fail ArgumentError, 'invalid value for "max", max cannot be nil.' end @max = max end # Custom attribute writer method with validation # @param min [Object] Object to be assigned # @!visibility private def min=(min) if min.nil? fail ArgumentError, 'invalid value for "min", min cannot be nil.' end @min = min end # Checks equality by comparing each attribute. # @param o [Object] Object to be compared # @!visibility private def ==(o) return true if self.equal?(o) self.class == o.class && interval == o.interval && max == o.max && min == o.min end # Calculates hash code according to all attributes. # @return [Integer] Hash code # @!visibility private def hash [interval, max, min].hash end end end