PATENT CLAIM ANALYSIS

Application Number: 16252965
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["712", "222000"]

Abstract:
A Vector Floating Point Test Data Class Immediate instruction is provided that determines whether one or more elements of a vector specified in the instruction are of one or more selected classes and signs. If a vector element is of a selected class and sign, an element in an operand of the instruction corresponding to the vector element is set to a first defined value, and if the vector element is not of the selected class and sign, the operand element corresponding to the vector element is set to a second defined value.

Claim (Index 17):
A computer-implemented method of executing a machine instruction, the computer-implemented method comprising:\n obtaining, by a processor, a machine instruction for execution, the machine instruction having associated therewith:\n an opcode to identify a Vector Floating Point Test Data Class Immediate operation; \n a first operand; and \n a second operand; and \n executing the machine instruction, the executing comprising:\n determining properties of a chosen element of the second operand; \n selecting from an input to the machine instruction a selected data unit representing the properties of the chosen element, the input including one or more data units to represent one or more properties; \n checking whether the selected data unit is set to a particular value; and \n based on the checking, setting an element in the first operand that corresponds to the chosen element of the second operand, the setting based on whether the selected data unit is set to the particular value.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.13043
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15237750', '13748477', '14561459', '13748543', '14561276']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6473358109285704
- 35 USC 102 Novelty (BERT): 0.5478771259771177
- Combined Prediction Score: 0.6373899424334252
- Mean Citation Score: 396.6992
- Max Citation Score: 418.39807
- Similarity Product: 384.1215168864709

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test