Strtk
C++ String Toolkit Library https://www.partow.net/programming/strtk/index.html
Install / Use
/learn @ArashPartow/StrtkREADME
C++ String Toolkit Library
[INTRODUCTION] The C++ String Toolkit Library (StrTk) consists of robust, optimized and portable string processing algorithms for the C++ language. StrTk is designed to be easy to use and integrate within existing code bases. Furthermore the library has a rich set of features that makes light work of any kind of string processing task.
[CAPABILITIES] The StrTk library has the following capabilities:
- Generic string tokenizer and token iterators
- Fast Split routines
- User specified delimiter and splitter policies (simple and regex based etc.)
- Conversions between data and hex and base-64
- In-place removal and replace routines
- Wild-card matching and globbing
- Search and Replace
- Fast token grid and Comma Separated Values (CSV and DSV) processing
- Extremely fast String to Integer, Double and other POD conversions
- Extensible string processing templates and algorithms (eg: combinatorics and randomizations)
- Prefix tree and Bloom filter structures for efficient string matching and testing
- Fast and simple-to-use binary serialization
- Seamless integration with STL and Boost
- Easy to use wrappers of common string processing usage patterns
- Single header file solution requires no installation or building
[COPYRIGHT NOTICE] Free use of the String Toolkit Library is permitted under the guidelines and in accordance with the most current version of the MIT License. http://www.opensource.org/licenses/MIT
[DOWNLOADS & UPDATES] All updates and the most recent version of the C++ String Toolkit can be found at: (1) http://www.partow.net/programming/strtk/index.html (2) http://strtk.partow.net
Code repository: https://github.com/ArashPartow/strtk
[INSTALLATION] (1) strtk.hpp should be placed in a project or system include path (e.g: /usr/include/).
(2) If the Boost libraries (random, regex, lexical_cast etc) are not available or it not wished they be used then the following preprocessor directive needs defining, either in code before strtk.hpp is included or as a compiler switch: (*) strtk_no_tr1_or_boost
(3) It is advisable to have either Boost installed or a TR1 compliant C++ standard library. Installation of Boost on: () Win32 : http://www.boostpro.com/download () Ubuntu : boost packages via apt-get or synaptic () Fedora : yum -y install boost-devel () http://www.boost.org/doc/libs/release/more/getting_started/index.html
[COMPILATION] (1) For a complete build: make clean all (2) For a PGO build: make clean pgo (3) To strip executables: make strip_bin
[COMPILER COMPATIBILITY] () GNU Compiler Collection (4.1+) () Intel C++ Compiler (9.x+) () Clang/LLVM (1.1+) () PGI C++ (10.x+) () Microsoft Visual Studio C++ Compiler (8.1+) () IBM XL C/C++ (10.x+) (*) C++ Builder (XE4+)
[FILES] (00) Makefile (01) readme.txt (02) strtk.hpp (03) strtk_bloom_filter_example.cpp (04) strtk_combinations.cpp (05) strtk_combinator_example.cpp (06) strtk_converters_example.cpp (07) strtk_examples.cpp (08) strtk_glober.cpp (09) strtk_hexview.cpp (10) strtk_ipv4_parser.cpp (11) strtk_keyvalue_example.cpp (12) strtk_nth_combination_example.cpp (13) strtk_numstats.cpp (14) strtk_parse_test.cpp (15) strtk_period_parser.cpp (16) strtk_random_line.cpp (17) strtk_randomizer.cpp (18) strtk_search_trie_example.cpp (19) strtk_serializer_example.cpp (20) strtk_text_parser_example01.cpp (21) strtk_text_parser_example02.cpp (22) strtk_tokengrid_example.cpp (23) strtk_tokenizer_cmp.cpp (24) strtk_tokenizer_test.cpp (25) strtk_wordfreq.cpp
Related Skills
node-connect
349.2kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
109.5kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
349.2kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
349.2kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。
