公开(公告)号：US20230229850A1

公开(公告)日：2023-07-20

申请号：US17576652

申请日：2022-01-14

Applicant: Microsoft Technology Licensing, LLC

Inventor： Mohammad RAZA ,  Arjun RADHAKRISHNA ,  José Pablo CAMBRONERO SÁNCHEZ ,  Sumit GULWANI ,  John Francis LAM ,  Vu Minh LE ,  Daniel MORRIS ,  Daniel Adam PERELMAN ,  Daniel Galen SIMMONS ,  Gustavo ARAUJO SOARES ,  Ashish TIWARI

IPC: G06F40/154 ,  G06F9/54 ,  G06F40/143 ,  G06N20/00 ,  G06F40/18 ,  G06F40/183

CPC classification number: G06F40/154 ,  G06F9/543 ,  G06F40/143 ,  G06N20/00 ,  G06F40/18 ,  G06F40/183

Abstract: Pasting content from a clipboard buffer as structured tabular data. A computer system determines a data type of content within a clipboard buffer. Based on the data type of the content, the computer system identifies a tabular pattern analysis technique to apply to the content. Based on applying the tabular pattern analysis technique to the content, the computer system identifies a portion of tabular content within the content. Using a clipboard application programming interface, the computer system presents the portion of tabular content to an application as paste data that is structured as a set of rows and a set of columns.

公开(公告)号：US20230116149A1

公开(公告)日：2023-04-13

申请号：US17497923

申请日：2021-10-09

Applicant: Microsoft Technology Licensing, LLC

Inventor： Arjun RADHAKRISHNA ,  Gustavo ARAUJO SOARES ,  Peter GROENEWEGEN ,  Mark Alistair WILSON-THOMAS ,  Aaron Chak Hei YIM ,  Piyush ARORA ,  Mohammad RAZA

IPC: G06F8/33 ,  G06F8/36

Abstract: Embodiments automate several aspects of document copy-paste updates. An enhanced editor submits context, such as a copied section, pasted section, nearby text, or parser information, to an automatic suggestion generator. The editor gets back a suggestion for automatically changing the pasted section, thus helping users avoid tedium and errors. For instance, string substitutions begun by the user can be automatically and easily completed within the pasted section. Refactoring between variable declarations and parameter lists is detected and completed on request. Situation-specific transforms based on code synthesis, word associations, temporal edit patterns, anchor target lists, regular expressions, or autocompletion are offered. Suggestions are given inside the user's current workflow to avoid breaks in focus. Suggestions can be refined automatically in response to implicit or explicit user feedback. Users are warned of unedited pasted sections. Code review is aided by highlighting pasted sections.

公开(公告)号：US20240184979A1

公开(公告)日：2024-06-06

申请号：US18075497

申请日：2022-12-06

Applicant: Microsoft Technology Licensing, LLC

Inventor： Mukul SINGH ,  José Pablo CAMBRONERO SÁNCHEZ ,  Sumit GULWANI ,  Vu Minh LE ,  Carina Suzana NEGREANU ,  Mohammad RAZA ,  Daniel Galen SIMMONS ,  Gust Ben Anneloes VERBRUGGEN

IPC: G06F16/35 ,  G06F40/18

CPC classification number: G06F16/355 ,  G06F40/18

Abstract: Some embodiments automatically generate data processing rules based on positive examples of processed data, e.g., formatting rules based on formatted data, filtering rules based on filtered data, or validating rules based on valid data. Some embodiments also use negative examples, e.g., unformatted data. A machine learning rule generation architecture includes a predicate generator, a cell cluster creator, a rule enumerator, and in some versions a rule ranker. Formatting rules written by a user are replaced by simpler autogenerated rules. Spreadsheet formatting rule functionality is enhanced, and surfaced in a user interface.

公开(公告)号：US20230289151A1

公开(公告)日：2023-09-14

申请号：US17691746

申请日：2022-03-10

Applicant: Microsoft Technology Licensing, LLC

Inventor： Peter GROENEWEGEN ,  Gustavo ARAUJO SOARES ,  Mohammad RAZA ,  Arjun RADHAKRISHNA

IPC: G06F8/36

CPC classification number: G06F8/36

Abstract: Generating a template based on source code examples includes identifying a set of related files within a source code project, and identifying a set of textual content portions that are each at least partially repeated across a subset of the related files. A set of templates is generated, each comprising at least one textual content portion from the set of textual content portions. Each template is associated with a set of selection criteria. The set of templates is exposed for automated consumption within a source code editor, based on the set of selection criteria associated with each template. Consuming a template includes identifying a user input indicating creation of a source code block or file within the source code editor, identifying attribute(s) of the source code block or file, and using the attribute(s) to identify a selection criterion associated with a particular template. The particular template is automatically presented.

公开(公告)号：US20230176829A1

公开(公告)日：2023-06-08

申请号：US17544502

申请日：2021-12-07

Applicant: Microsoft Technology Licensing, LLC

Inventor： Kiarash RAHMANI ,  Mohammad RAZA ,  Sumit GULWANI ,  Vu Minh LE ,  Daniel James MORRIS ,  Arjun RADHAKRISHNA ,  Gustavo ARAUJO SOARES ,  Ashish TIWARI

IPC: G06F8/33 ,  G06F40/40 ,  G06F8/38 ,  G06F40/30 ,  G06F8/10

CPC classification number: G06F8/33 ,  G06F40/40 ,  G06F8/38 ,  G06F40/30 ,  G06F8/10

Abstract: Embodiments use a multi-modal approach to generate software programs that match a solution program description. The solution program description may include natural language, input-output examples, partial source code, desired operators, or other hints. Some embodiments use optimized prompts to a pre-trained language model to obtain initial candidate programs. Maximal program components are extracted and then recombined variously using component-based synthesis. Beam search reduces a solution program search space by discarding some candidates from a given synthesis iteration. Relevance metrics, string similarity metrics, operator frequency distributions, token rareness scores, and other optimizations may be employed. By virtue of optimizations and the multi-modal approach, a solution program may be obtained after fewer iterations than by use of a language model alone. The multi-modal approach is domain agnostic, as illustrated by examples using regular expression and cascading style sheet selector domain specific languages.