Class: OCI::GenerativeAiInference::Models::Logprobs
- Inherits:
-
Object
- Object
- OCI::GenerativeAiInference::Models::Logprobs
- Defined in:
- lib/oci/generative_ai_inference/models/logprobs.rb
Overview
Returns if the logarithmic probabilites is set.
Instance Attribute Summary collapse
-
#text_offset ⇒ Array<Integer>
The text offset.
-
#token_logprobs ⇒ Array<Float>
The logarithmic probabilites of the output token.
-
#tokens ⇒ Array<String>
The list of output tokens.
-
#top_logprobs ⇒ Array<Hash<String, String>>
The logarithmic probabilities of each of the top k tokens.
Class Method Summary collapse
-
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
-
.swagger_types ⇒ Object
Attribute type mapping.
Instance Method Summary collapse
-
#==(other) ⇒ Object
Checks equality by comparing each attribute.
-
#build_from_hash(attributes) ⇒ Object
Builds the object from hash.
- #eql?(other) ⇒ Boolean
-
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
-
#initialize(attributes = {}) ⇒ Logprobs
constructor
Initializes the object.
-
#to_hash ⇒ Hash
Returns the object in the form of hash.
-
#to_s ⇒ String
Returns the string representation of the object.
Constructor Details
#initialize(attributes = {}) ⇒ Logprobs
Initializes the object
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 61 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 } self.text_offset = attributes[:'textOffset'] if attributes[:'textOffset'] raise 'You cannot provide both :textOffset and :text_offset' if attributes.key?(:'textOffset') && attributes.key?(:'text_offset') self.text_offset = attributes[:'text_offset'] if attributes[:'text_offset'] self.token_logprobs = attributes[:'tokenLogprobs'] if attributes[:'tokenLogprobs'] raise 'You cannot provide both :tokenLogprobs and :token_logprobs' if attributes.key?(:'tokenLogprobs') && attributes.key?(:'token_logprobs') self.token_logprobs = attributes[:'token_logprobs'] if attributes[:'token_logprobs'] self.tokens = attributes[:'tokens'] if attributes[:'tokens'] self.top_logprobs = attributes[:'topLogprobs'] if attributes[:'topLogprobs'] raise 'You cannot provide both :topLogprobs and :top_logprobs' if attributes.key?(:'topLogprobs') && attributes.key?(:'top_logprobs') self.top_logprobs = attributes[:'top_logprobs'] if attributes[:'top_logprobs'] end |
Instance Attribute Details
#text_offset ⇒ Array<Integer>
The text offset.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 13 def text_offset @text_offset end |
#token_logprobs ⇒ Array<Float>
The logarithmic probabilites of the output token.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 17 def token_logprobs @token_logprobs end |
#tokens ⇒ Array<String>
The list of output tokens.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 21 def tokens @tokens end |
#top_logprobs ⇒ Array<Hash<String, String>>
The logarithmic probabilities of each of the top k tokens.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 25 def top_logprobs @top_logprobs end |
Class Method Details
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 28 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'text_offset': :'textOffset', 'token_logprobs': :'tokenLogprobs', 'tokens': :'tokens', 'top_logprobs': :'topLogprobs' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 40 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'text_offset': :'Array<Integer>', 'token_logprobs': :'Array<Float>', 'tokens': :'Array<String>', 'top_logprobs': :'Array<Hash<String, String>>' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 95 def ==(other) return true if equal?(other) self.class == other.class && text_offset == other.text_offset && token_logprobs == other.token_logprobs && tokens == other.tokens && top_logprobs == other.top_logprobs end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 128 def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /^Array<(.*)>/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) public_method("#{key}=").call( attributes[self.class.attribute_map[key]] .map { |v| OCI::Internal::Util.convert_to_type(Regexp.last_match(1), v) } ) end elsif !attributes[self.class.attribute_map[key]].nil? public_method("#{key}=").call( OCI::Internal::Util.convert_to_type(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 |
#eql?(other) ⇒ Boolean
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 108 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 117 def hash [text_offset, token_logprobs, tokens, top_logprobs].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 161 def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = public_method(attr).call next if value.nil? && !instance_variable_defined?("@#{attr}") hash[param] = _to_hash(value) end hash end |
#to_s ⇒ String
Returns the string representation of the object
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# File 'lib/oci/generative_ai_inference/models/logprobs.rb', line 155 def to_s to_hash.to_s end |