Proio: an Event-Based I/O Stream Format for Protobuf Messages
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Dealing with Document Size Limits
Dealing with Document Size Limits Introduction The Electronic Case Filing system will not accept PDF documents larger than ten megabytes (MB). If the document size is less than 10 MB, it can be filed electronically just as it is. If it is larger than 10 MB, it will need to be divided into two or more documents, with each document being less than 10 MB. Word Processing Documents Documents created with a word processing program (such as WordPerfect or Microsoft Word) and correctly converted to PDF will generally be smaller than a scanned document. Because of variances in software, usage, and content, it is difficult to estimate the number of pages that would constitute 10 MB. (Note: See “Verifying File Size” below and for larger documents, see “Splitting PDF Documents into Multiple Documents” below.) Scanned Documents Although the judges’ Filing Preferences indicate a preference for conversion of documents rather than scanning, it will be necessary to scan some documents for filing, e.g., evidentiary attachments must be scanned. Here are some things to remember: • Documents scanned to PDF are generally much larger than those converted through a word processor. • While embedded fonts may be necessary for special situations, e.g., trademark, they will increase the file size. • If graphs or color photos are included, just a few pages can easily exceed the 10 MB limit. Here are some guidelines: • The court’s standard scanner resolution is 300 dots per inch (DPI). Avoid using higher resolutions as this will create much larger file sizes. • Normally, the output should be set to black and white. -
Protolite: Highly Optimized Protocol Buffer Serializers
Package ‘protolite’ July 28, 2021 Type Package Title Highly Optimized Protocol Buffer Serializers Author Jeroen Ooms Maintainer Jeroen Ooms <[email protected]> Description Pure C++ implementations for reading and writing several common data formats based on Google protocol-buffers. Currently supports 'rexp.proto' for serialized R objects, 'geobuf.proto' for binary geojson, and 'mvt.proto' for vector tiles. This package uses the auto-generated C++ code by protobuf-compiler, hence the entire serialization is optimized at compile time. The 'RProtoBuf' package on the other hand uses the protobuf runtime library to provide a general- purpose toolkit for reading and writing arbitrary protocol-buffer data in R. Version 2.1.1 License MIT + file LICENSE URL https://github.com/jeroen/protolite BugReports https://github.com/jeroen/protolite/issues SystemRequirements libprotobuf and protobuf-compiler LinkingTo Rcpp Imports Rcpp (>= 0.12.12), jsonlite Suggests spelling, curl, testthat, RProtoBuf, sf RoxygenNote 6.1.99.9001 Encoding UTF-8 Language en-US NeedsCompilation yes Repository CRAN Date/Publication 2021-07-28 12:20:02 UTC R topics documented: geobuf . .2 mapbox . .2 serialize_pb . .3 1 2 mapbox Index 5 geobuf Geobuf Description The geobuf format is an optimized binary format for storing geojson data with protocol buffers. These functions are compatible with the geobuf2json and json2geobuf utilities from the geobuf npm package. Usage read_geobuf(x, as_data_frame = TRUE) geobuf2json(x, pretty = FALSE) json2geobuf(json, decimals = 6) Arguments x file path or raw vector with the serialized geobuf.proto message as_data_frame simplify geojson data into data frames pretty indent json, see jsonlite::toJSON json a text string with geojson data decimals how many decimals (digits behind the dot) to store for numbers mapbox Mapbox Vector Tiles Description Read Mapbox vector-tile (mvt) files and returns the list of layers. -
Tencentdb for Tcaplusdb Getting Started
TencentDB for TcaplusDB TencentDB for TcaplusDB Getting Started Product Documentation ©2013-2019 Tencent Cloud. All rights reserved. Page 1 of 32 TencentDB for TcaplusDB Copyright Notice ©2013-2019 Tencent Cloud. All rights reserved. Copyright in this document is exclusively owned by Tencent Cloud. You must not reproduce, modify, copy or distribute in any way, in whole or in part, the contents of this document without Tencent Cloud's the prior written consent. Trademark Notice All trademarks associated with Tencent Cloud and its services are owned by Tencent Cloud Computing (Beijing) Company Limited and its affiliated companies. Trademarks of third parties referred to in this document are owned by their respective proprietors. Service Statement This document is intended to provide users with general information about Tencent Cloud's products and services only and does not form part of Tencent Cloud's terms and conditions. Tencent Cloud's products or services are subject to change. Specific products and services and the standards applicable to them are exclusively provided for in Tencent Cloud's applicable terms and conditions. ©2013-2019 Tencent Cloud. All rights reserved. Page 2 of 32 TencentDB for TcaplusDB Contents Getting Started Basic Concepts Cluster Table Group Table Index Data Types Read/Write Capacity Mode Table Definition in ProtoBuf Table Definition in TDR Creating Cluster Creating Table Group Creating Table Getting Access Point Information Access TcaplusDB ©2013-2019 Tencent Cloud. All rights reserved. Page 3 of 32 TencentDB for TcaplusDB Getting Started Basic Concepts Cluster Last updated:2020-07-31 11:15:59 Cluster Overview A cluster is the basic TcaplusDB management unit, which provides independent TcaplusDB service for the business. -
Software License Agreement (EULA)
Third-party Computer Software AutoVu™ ALPR cameras • angular-animate (https://docs.angularjs.org/api/ngAnimate) licensed under the terms of the MIT License (https://github.com/angular/angular.js/blob/master/LICENSE). © 2010-2016 Google, Inc. http://angularjs.org • angular-base64 (https://github.com/ninjatronic/angular-base64) licensed under the terms of the MIT License (https://github.com/ninjatronic/angular-base64/blob/master/LICENSE). © 2010 Nick Galbreath © 2013 Pete Martin • angular-translate (https://github.com/angular-translate/angular-translate) licensed under the terms of the MIT License (https://github.com/angular-translate/angular-translate/blob/master/LICENSE). © 2014 [email protected] • angular-translate-handler-log (https://github.com/angular-translate/bower-angular-translate-handler-log) licensed under the terms of the MIT License (https://github.com/angular-translate/angular-translate/blob/master/LICENSE). © 2014 [email protected] • angular-translate-loader-static-files (https://github.com/angular-translate/bower-angular-translate-loader-static-files) licensed under the terms of the MIT License (https://github.com/angular-translate/angular-translate/blob/master/LICENSE). © 2014 [email protected] • Angular Google Maps (http://angular-ui.github.io/angular-google-maps/#!/) licensed under the terms of the MIT License (https://opensource.org/licenses/MIT). © 2013-2016 angular-google-maps • AngularJS (http://angularjs.org/) licensed under the terms of the MIT License (https://github.com/angular/angular.js/blob/master/LICENSE). © 2010-2016 Google, Inc. http://angularjs.org • AngularUI Bootstrap (http://angular-ui.github.io/bootstrap/) licensed under the terms of the MIT License (https://github.com/angular- ui/bootstrap/blob/master/LICENSE). -
Towards a Fully Automated Extraction and Interpretation of Tabular Data Using Machine Learning
UPTEC F 19050 Examensarbete 30 hp August 2019 Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Per Hedbrant Master Thesis in Engineering Physics Department of Engineering Sciences Uppsala University Sweden Abstract Towards a fully automated extraction and interpretation of tabular data using machine learning Per Hedbrant Teknisk- naturvetenskaplig fakultet UTH-enheten Motivation A challenge for researchers at CBCS is the ability to efficiently manage the Besöksadress: different data formats that frequently are changed. Significant amount of time is Ångströmlaboratoriet Lägerhyddsvägen 1 spent on manual pre-processing, converting from one format to another. There are Hus 4, Plan 0 currently no solutions that uses pattern recognition to locate and automatically recognise data structures in a spreadsheet. Postadress: Box 536 751 21 Uppsala Problem Definition The desired solution is to build a self-learning Software as-a-Service (SaaS) for Telefon: automated recognition and loading of data stored in arbitrary formats. The aim of 018 – 471 30 03 this study is three-folded: A) Investigate if unsupervised machine learning Telefax: methods can be used to label different types of cells in spreadsheets. B) 018 – 471 30 00 Investigate if a hypothesis-generating algorithm can be used to label different types of cells in spreadsheets. C) Advise on choices of architecture and Hemsida: technologies for the SaaS solution. http://www.teknat.uu.se/student Method A pre-processing framework is built that can read and pre-process any type of spreadsheet into a feature matrix. Different datasets are read and clustered. An investigation on the usefulness of reducing the dimensionality is also done. -
Datacenter Tax Cuts: Improving WSC Efficiency Through Protocol Buffer Acceleration
Datacenter Tax Cuts: Improving WSC Efficiency Through Protocol Buffer Acceleration Dinesh Parimi William J. Zhao Jerry Zhao University of California, Berkeley University of California, Berkeley University of California, Berkeley [email protected] william [email protected] [email protected] Abstract—According to recent literature, at least 25% of cycles will serialize some set of objects stored in memory to a in a modern warehouse-scale computer are spent on common portable format defined by the protobuf compiler (protoc). “building blocks” [1]. Referred to by Kanev et al. as a “datacenter The serialized objects can be sent to some remote device, tax”, these tasks are prime candidates for hardware acceleration, as even modest improvements here can generate immense cost which will then deserialize the object into its own memory and power savings given the scale of such systems. to execute on. Thus protobuf is widely used to implement One of these tasks is protocol buffer serialization and parsing. remote procedure calls (RPC), since it facilitates the transport Protocol buffers are an open-source mechanism for representing of arguments across a network. Protobuf remains the most structured data developed by Google, and used extensively in popular serialization framework due to its maturity, backwards their datacenters for communication and remote procedure calls. While the source code for protobufs is highly optimized, certain compatibility, and extensibility. Specifically, the encoding tasks - such as the compression/decompression of integer fields scheme enables future changes to the protobuf schema to and the encoding of variable-length strings - bottleneck the remain backwards compatible. throughput of serializing or parsing a protobuf. -
If You Have Attempted to Upload Your Files and You Receive an Error Or
If you have attempted to upload your files and you receive an error or they simply will not upload to EDJOIN, your files are probably either in an inappropriate format, or too large. Please ensure that your document meets the appropriate format and size requirements below. Acceptable format: .PDF Size limit: Each file must not exceed 1 MB (megabyte) or 1024 KB File Name: The file name must contain less than 50 characters including spaces. If the file name contains more than 50 characters or any special characters, you may have trouble attaching your documents and/or the district you are applying to may have trouble viewing them. Please make sure your document title only contains letters and numbers. If the document is multiple pages, you may need to scan multiple sections of the document to maintain the 1MB file size allowance. Saving Your Documents to .PDF Format: If Using A PC: Microsoft Word 2007 or later allows you to save a document as .PDF on a PC 1. Open the document from where you have it saved in your computer. 2. Once the document opens in Microsoft Word, go to the File menu at the top left of your Microsoft Word window and click on Save as. 3. Note where you will be saving the document, go to the bottom of the window and select PDF (*.pdf) in the Save as type box. 4. Save and close. If Using A Mac: Using the print dialog box allows you to save just about any document to .PDF format from a Mac 1. -
Sequence Alignment/Map Format Specification
Sequence Alignment/Map Format Specification The SAM/BAM Format Specification Working Group 3 Jun 2021 The master version of this document can be found at https://github.com/samtools/hts-specs. This printing is version 53752fa from that repository, last modified on the date shown above. 1 The SAM Format Specification SAM stands for Sequence Alignment/Map format. It is a TAB-delimited text format consisting of a header section, which is optional, and an alignment section. If present, the header must be prior to the alignments. Header lines start with `@', while alignment lines do not. Each alignment line has 11 mandatory fields for essential alignment information such as mapping position, and variable number of optional fields for flexible or aligner specific information. This specification is for version 1.6 of the SAM and BAM formats. Each SAM and BAMfilemay optionally specify the version being used via the @HD VN tag. For full version history see Appendix B. Unless explicitly specified elsewhere, all fields are encoded using 7-bit US-ASCII 1 in using the POSIX / C locale. Regular expressions listed use the POSIX / IEEE Std 1003.1 extended syntax. 1.1 An example Suppose we have the following alignment with bases in lowercase clipped from the alignment. Read r001/1 and r001/2 constitute a read pair; r003 is a chimeric read; r004 represents a split alignment. Coor 12345678901234 5678901234567890123456789012345 ref AGCATGTTAGATAA**GATAGCTGTGCTAGTAGGCAGTCAGCGCCAT +r001/1 TTAGATAAAGGATA*CTG +r002 aaaAGATAA*GGATA +r003 gcctaAGCTAA +r004 ATAGCT..............TCAGC -r003 ttagctTAGGC -r001/2 CAGCGGCAT The corresponding SAM format is:2 1Charset ANSI X3.4-1968 as defined in RFC1345. -
Distributed Services with Go Your Guide to Reliable, Scalable, and Maintainable Systems
Extracted from: Distributed Services with Go Your Guide to Reliable, Scalable, and Maintainable Systems This PDF file contains pages extracted from Distributed Services with Go, published by the Pragmatic Bookshelf. For more information or to purchase a paperback or PDF copy, please visit http://www.pragprog.com. Note: This extract contains some colored text (particularly in code listing). This is available only in online versions of the books. The printed versions are black and white. Pagination might vary between the online and printed versions; the content is otherwise identical. Copyright © 2021 The Pragmatic Programmers, LLC. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form, or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the publisher. The Pragmatic Bookshelf Raleigh, North Carolina Distributed Services with Go Your Guide to Reliable, Scalable, and Maintainable Systems Travis Jeffery The Pragmatic Bookshelf Raleigh, North Carolina Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf, PragProg and the linking g device are trade- marks of The Pragmatic Programmers, LLC. Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein. -
Protocol Buffers
Protocol Buffers http://code.google.com/p/protobuf/ 1 Overview ● What are Protocol Buffers ● Structure of a .proto file ● How to use a message ● How messages are encoded ● Important points to remember ● More Stuff 2/33 What are Protocol Buffers? ● Serialization format by Google ● used by Google for almost all internal RPC protocols and file formats (currently 48,162 different message types defined in the Google code tree across 12,183 .proto files. They©re used both in RPC systems and for persistent storage of data in a variety of storage systems.) ● Goals: ● Simplicity ● Compatibility ● Performance 3/33 Comparison XML - Protobuf ● Readable by humans ↔ binary format ● Self-describing ↔ Garbage without .proto file ● Big files ↔ small files (3-10 times) ● Slow to serialize/parse ↔ fast (20-100 times) ● .xsd (complex) ↔ .proto (simple, less ambiguous) ● Complex access ↔ easy access 4/33 Comparison XML ± Protobuf (cntd) <person> Person { <name>John Doe</name> name: "John Doe" <email>[email protected]</email> email: "[email protected]" </person> } (== 69 bytes, 5-10©000ns to parse) (== 28 bytes, 100-200ns to parse) cout << "Name: " cout << "Name: " << person.name() << << endl; person.getElementsByTagName("nam cout << "E-mail: " << person.email() << e")->item(0)->innerText() endl; << endl; cout << "E-mail: " << person.getElementsByTagName("emai l")->item(0)->innerText() 5/33 << endl; Example message Person { required string name = 1; // name of person required int32 id = 2; // id of person optional string email = 3; // email address enum PhoneType { MOBILE = 0; HOME = 1; WORK = 2; } message PhoneNumber { required string number = 1; optional PhoneType type = 2 [default = HOME]; } 6/33 repeated PhoneNumber phone = 4; } From .proto to runtime ● Messages defined in .proto file(s) ● Compiled into source code with protoc ● C++ ● Java ● Python ● More languages via AddOns (C#, PHP, Perl, ObjC, etc) ● Usage in code ● Passed via network / files 7/33 Message Definition ● Messages defined in .proto files ● Syntax: Message [MessageName] { .. -
Mac OS X Server
Mac OS X Server Version 10.4 Technology Overview August 2006 Technology Overview 2 Mac OS X Server Contents Page 3 Introduction Page 5 New in Version 10.4 Page 7 Operating System Fundamentals UNIX-Based Foundation 64-Bit Computing Advanced BSD Networking Architecture Robust Security Directory Integration High Availability Page 10 Integrated Management Tools Server Admin Workgroup Manager Page 14 Service Deployment and Administration Open Directory Server File and Print Services Mail Services Web Hosting Enterprise Applications Media Streaming iChat Server Software Update Server NetBoot and NetInstall Networking and VPN Distributed Computing Page 29 Product Details Page 31 Open Source Projects Page 35 Additional Resources Technology Overview 3 Mac OS X Server Introduction Mac OS X Server version 10.4 Tiger gives you everything you need to manage servers in a mixed-platform environment and to con gure, deploy, and manage powerful network services. Featuring the renowned Mac OS X interface, Mac OS X Server streamlines your management tasks with applications and utilities that are robust yet easy to use. Apple’s award-winning server software brings people and data together in innovative ways. Whether you want to empower users with instant messaging and blogging, gain greater control over email, reduce the cost and hassle of updating software, or build your own distributed supercomputer, Mac OS X Server v10.4 has the tools you need. The Universal release of Mac OS X Server runs on both Intel- and PowerPC-based The power and simplicity of Mac OS X Server are a re ection of Apple’s operating sys- Mac desktop and Xserve systems. -
Converting Audio – Audio File Size
Converting Audio – Audio File Size By the end of this worksheet you should: • know how to calculate the possible file size of an audio recording You should now be very familiar with the following concepts: • BIT: a single zero (0) or (1), short for Binary digIT • BYTE: 8 bits • Analogue: a continuously varying signal • Digital: a pulse that alternates between OFF (0) and ON (1) • ADC: Analogue to Digital Converter • Sample Rate: how many times per second the ADC tests the incoming analogue signal • Sample Resolution: the number of bits allocate to each sample taken We only need to add 1 more snippet of knowledge to calculate the possible file size of an audio recording, and that is the duration of the recording. Imagine that you record 10 seconds of audio, setting the sample rate to 44.1kHz and using 16 bits per sample. What does this all mean? Page 1 of 5 Converting Audio – Audio File Size Well, we know that… • each sample uses 16 bits • there are 44 100 samples per second • this means that we are using 44 100 samples per second x 16 bits = 705 600 bits per second • Since we recorded for 10 seconds we have 705 600 bits per second x 10 seconds = 7 056 000 bits in total • There are 8 bits to a byte so 7 056 000 ÷ 8 = 882 000 bytes • 1 000 is a kilo so 882 000 bytes = 882 kilobytes or 882KB So, a 10 second recording that is set at 16 bits/44.1kHz might result in a file of 882KB.