Apple Inc.

Pratik Solanki

Christopher Daryl Soli

Kevin M Lynch

Christopher Arthur Lattner

Thomas John O'Brien

Roger Scott Hoover

Victor Leonel Hernandez Porras

Eric Marshall Christopher

Jia-Hong Chen

Francois M Jouaux

Robert John McCall

Pablo F Caro

Matthew Wagner Crowley

Dmitri Cavander

Heather E Daniel

Siji Rachel Tom

Nicholas D Felton

Aroon Pahwa

Evan Russell Doll

Paul W Salzman

Charmian Bondoc Naguit

Zhe Li

Ruchi Goswami

James D Dusseau

Suhail Ahmad

Michael Alan Kahl

Karim Benhmida

The present disclosure generally relates to health-related user interfaces. In some embodiments, user interfaces for managing health-related data are described. In some embodiments, user interfaces for viewing health data are described. In some embodiments, user interfaces related to sharing health data are described.

Health application user interfaces

Observation and analysis based optimization of software code is disclosed. An expected value is chosen for a dynamic attribute that cannot be determined, prior to execution of the associated software code, to be guaranteed to have that expected value at runtime. An optimized version of the software code is generated, including one or more optimizations based on an assumption that the dynamic attribute will have the expected value. Non-exhaustive examples of a dynamic attribute include a variable type; a location in memory; a location in which a global object, property, or variable is stored; the contents of a global function or method; and a value of a global property or variable. A check is performed during execution of the optimized version of the software code, prior to executing the portion that has been optimized based on the assumption, to verify that the dynamic attribute has the expected value. In the event that it is determined at runtime that the dynamic attribute does not have the expected value, execution reverts to backup code that is not based on the assumption that dynamic attribute will have the expected value.

Observation and analysis based code optimization

Techniques for processing source code written in a traditionally interpreted language such as JavaScript, or another dynamic and/or interpreted language, are disclosed. In one example, compiled code associated with the source code is constructed and executed. An assumption on which a specific aspect of the compiled code is based (e.g., an optimization) is tested at a checkpoint of the compiled code. A roll over to fallback code is performed if the test indicates the assumption is not true.

Assumption-based compilation

A device-independent intermediate representation of a source code is generated and stored, e.g., in a memory or other storage mechanism. The stored intermediate representation of the source code is used to generate a device-specific machine code corresponding to the source code. The stored intermediate representation may be updated, e.g., periodically, for example by obtaining an updated version of the source code and compiling the updated source code to generate an updated intermediate representation. The stored intermediate representation may be based on source code received from a device that is synchronized with which a compiling device that generates the device-specific machine code. In some cases, the stored intermediate representation may be used to generate for each of a plurality of devices a corresponding device-specific machine code.

Converting JavaScript into a device-independent representation

Techniques for processing computer code are disclosed. In one example, an indication that a computer code is to begin execution at a portion of code other than a starting portion of the code is received, and a runtime state associated with the portion of the code at which execution is to begin is constructed. In some examples, execution of the portion of code is initiated. In some examples, a program counter associated with the portion of the code is used to initiate execution of the code. In some examples, the computer code comprises a fallback code associated with a previously executing code.

Constructing runtime state for inlined code

Growing community of inventors

Mountain View, CA, United States of America

Pratik Solanki