=begin #Intrinio API #Welcome to the Intrinio API! Through our Financial Data Marketplace, we offer a wide selection of financial data feed APIs sourced by our own proprietary processes as well as from many data vendors. For a complete API request / response reference please view the [Intrinio API documentation](https://docs.intrinio.com/documentation/api_v2). If you need additional help in using the API, please visit the [Intrinio website](https://intrinio.com) and click on the chat icon in the lower right corner. OpenAPI spec version: 2.62.1 Generated by: https://github.com/swagger-api/swagger-codegen.git Swagger Codegen version: unset =end require 'date' module Intrinio # Zacks consensus earnings-per-share (EPS) estimates from analysts for thousands of stocks. Zacks storied research team aggregates and validates the estimates. Each EPS Estimate includes metadata about the corresponding Company. class ZacksEPSEstimate attr_accessor :company # The period end date attr_accessor :date # The company’s fiscal year for the reported period attr_accessor :fiscal_year # The company’s fiscal quarter for the reported period attr_accessor :fiscal_quarter # The closest calendar year for the company’s fiscal year attr_accessor :calendar_year # The closest calendar quarter for the company’s fiscal year attr_accessor :calendar_quarter # The number of estimates for the period attr_accessor :count # The earnings per share (EPS) mean estimate for the period attr_accessor :mean # The earnings per share (EPS) median estimate for the period attr_accessor :median # The earnings per share (EPS) high estimate for the period attr_accessor :high # The earnings per share (EPS) low estimate for the period attr_accessor :low # The earnings per share (EPS) standard deviation estimate for the period attr_accessor :standard_deviation # The earnings per share (EPS) percent change in estimate for the period attr_accessor :percent_change # The long term growth mean estimate - 7 Days Ago attr_accessor :mean_7_days_ago # The long term growth mean estimate - 30 Days Ago attr_accessor :mean_30_days_ago # The long term growth mean estimate - 60 Days Ago attr_accessor :mean_60_days_ago # The long term growth mean estimate - 90 Days Ago attr_accessor :mean_90_days_ago # Attribute mapping from ruby-style variable name to JSON key. def self.attribute_map { :'company' => :'company', :'date' => :'date', :'fiscal_year' => :'fiscal_year', :'fiscal_quarter' => :'fiscal_quarter', :'calendar_year' => :'calendar_year', :'calendar_quarter' => :'calendar_quarter', :'count' => :'count', :'mean' => :'mean', :'median' => :'median', :'high' => :'high', :'low' => :'low', :'standard_deviation' => :'standard_deviation', :'percent_change' => :'percent_change', :'mean_7_days_ago' => :'mean_7_days_ago', :'mean_30_days_ago' => :'mean_30_days_ago', :'mean_60_days_ago' => :'mean_60_days_ago', :'mean_90_days_ago' => :'mean_90_days_ago' } end # Attribute type mapping. def self.swagger_types { :'company' => :'CompanySummary', :'date' => :'Date', :'fiscal_year' => :'Integer', :'fiscal_quarter' => :'String', :'calendar_year' => :'Integer', :'calendar_quarter' => :'String', :'count' => :'Integer', :'mean' => :'Float', :'median' => :'Float', :'high' => :'Float', :'low' => :'Float', :'standard_deviation' => :'Float', :'percent_change' => :'Float', :'mean_7_days_ago' => :'Float', :'mean_30_days_ago' => :'Float', :'mean_60_days_ago' => :'Float', :'mean_90_days_ago' => :'Float' } end # Initializes the object # @param [Hash] attributes Model attributes in the form of hash def initialize(attributes = {}) return unless attributes.is_a?(Hash) # convert string to symbol for hash key attributes = attributes.each_with_object({}){|(k,v), h| h[k.to_sym] = v} if attributes.has_key?(:'company') self.company = attributes[:'company'] end if attributes.has_key?(:'date') self.date = attributes[:'date'] end if attributes.has_key?(:'fiscal_year') self.fiscal_year = attributes[:'fiscal_year'] end if attributes.has_key?(:'fiscal_quarter') self.fiscal_quarter = attributes[:'fiscal_quarter'] end if attributes.has_key?(:'calendar_year') self.calendar_year = attributes[:'calendar_year'] end if attributes.has_key?(:'calendar_quarter') self.calendar_quarter = attributes[:'calendar_quarter'] end if attributes.has_key?(:'count') self.count = attributes[:'count'] end if attributes.has_key?(:'mean') self.mean = attributes[:'mean'] end if attributes.has_key?(:'median') self.median = attributes[:'median'] end if attributes.has_key?(:'high') self.high = attributes[:'high'] end if attributes.has_key?(:'low') self.low = attributes[:'low'] end if attributes.has_key?(:'standard_deviation') self.standard_deviation = attributes[:'standard_deviation'] end if attributes.has_key?(:'percent_change') self.percent_change = attributes[:'percent_change'] end if attributes.has_key?(:'mean_7_days_ago') self.mean_7_days_ago = attributes[:'mean_7_days_ago'] end if attributes.has_key?(:'mean_30_days_ago') self.mean_30_days_ago = attributes[:'mean_30_days_ago'] end if attributes.has_key?(:'mean_60_days_ago') self.mean_60_days_ago = attributes[:'mean_60_days_ago'] end if attributes.has_key?(:'mean_90_days_ago') self.mean_90_days_ago = attributes[:'mean_90_days_ago'] end end # Show invalid properties with the reasons. Usually used together with valid? # @return Array for valid properties with the reasons def list_invalid_properties invalid_properties = Array.new return invalid_properties end # Check to see if the all the properties in the model are valid # @return true if the model is valid def valid? return true end # Checks equality by comparing each attribute. # @param [Object] Object to be compared def ==(o) return true if self.equal?(o) self.class == o.class && company == o.company && date == o.date && fiscal_year == o.fiscal_year && fiscal_quarter == o.fiscal_quarter && calendar_year == o.calendar_year && calendar_quarter == o.calendar_quarter && count == o.count && mean == o.mean && median == o.median && high == o.high && low == o.low && standard_deviation == o.standard_deviation && percent_change == o.percent_change && mean_7_days_ago == o.mean_7_days_ago && mean_30_days_ago == o.mean_30_days_ago && mean_60_days_ago == o.mean_60_days_ago && mean_90_days_ago == o.mean_90_days_ago end # @see the `==` method # @param [Object] Object to be compared def eql?(o) self == o end # Calculates hash code according to all attributes. # @return [Fixnum] Hash code def hash [company, date, fiscal_year, fiscal_quarter, calendar_year, calendar_quarter, count, mean, median, high, low, standard_deviation, percent_change, mean_7_days_ago, mean_30_days_ago, mean_60_days_ago, mean_90_days_ago].hash end # Builds the object from hash # @param [Hash] attributes Model attributes in the form of hash # @return [Object] Returns the model itself def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /\AArray<(.*)>/i # check to ensure the input is an array given that the the attribute # is documented as an array but the input is not if attributes[self.class.attribute_map[key]].is_a?(Array) self.send("#{key}=", attributes[self.class.attribute_map[key]].map{ |v| _deserialize($1, v) } ) end elsif !attributes[self.class.attribute_map[key]].nil? self.send("#{key}=", _deserialize(type, attributes[self.class.attribute_map[key]])) end # or else data not found in attributes(hash), not an issue as the data can be optional end self end # Deserializes the data based on type # @param string type Data type # @param string value Value to be deserialized # @return [Object] Deserialized data def _deserialize(type, value) case type.to_sym when :DateTime DateTime.parse(value) when :Date Date.parse(value) when :String value.to_s when :Integer value.to_i when :Float value.to_f when :BOOLEAN if value.to_s =~ /\A(true|t|yes|y|1)\z/i true else false end when :Object # generic object (usually a Hash), return directly value when /\AArray<(?.+)>\z/ inner_type = Regexp.last_match[:inner_type] value.map { |v| _deserialize(inner_type, v) } when /\AHash<(?.+?), (?.+)>\z/ k_type = Regexp.last_match[:k_type] v_type = Regexp.last_match[:v_type] {}.tap do |hash| value.each do |k, v| hash[_deserialize(k_type, k)] = _deserialize(v_type, v) end end else # model temp_model = Intrinio.const_get(type).new temp_model.build_from_hash(value) end end # Returns the string representation of the object # @return [String] String presentation of the object def to_s to_hash.to_s end # to_body is an alias to to_hash (backward compatibility) # @return [Hash] Returns the object in the form of hash def to_body to_hash end # Returns the object in the form of hash # @return [Hash] Returns the object in the form of hash def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = self.send(attr) next if value.nil? hash[param] = _to_hash(value) end hash end # Outputs non-array value in the form of hash # For object, use to_hash. Otherwise, just return the value # @param [Object] value Any valid value # @return [Hash] Returns the value in the form of hash def _to_hash(value) if value.is_a?(Array) value.compact.map{ |v| _to_hash(v) } elsif value.is_a?(Hash) {}.tap do |hash| value.each { |k, v| hash[k] = _to_hash(v) } end elsif value.respond_to? :to_hash value.to_hash else value end end end end