fast-cpp-csv-parser | fast-cpp-csv-parser | Parser library

 by   ben-strasser C++ Version: Current License: BSD-3-Clause

kandi X-RAY | fast-cpp-csv-parser Summary

kandi X-RAY | fast-cpp-csv-parser Summary

fast-cpp-csv-parser is a C++ library typically used in Utilities, Parser applications. fast-cpp-csv-parser has no bugs, it has a Permissive License and it has medium support. However fast-cpp-csv-parser has 1 vulnerabilities. You can download it from GitHub.

fast-cpp-csv-parser
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              fast-cpp-csv-parser has a medium active ecosystem.
              It has 1824 star(s) with 411 fork(s). There are 66 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 20 open issues and 88 have been closed. On average issues are closed in 34 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fast-cpp-csv-parser is current.

            kandi-Quality Quality

              fast-cpp-csv-parser has no bugs reported.

            kandi-Security Security

              fast-cpp-csv-parser has 1 vulnerability issues reported (1 critical, 0 high, 0 medium, 0 low).

            kandi-License License

              fast-cpp-csv-parser is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fast-cpp-csv-parser releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            fast-cpp-csv-parser Key Features

            No Key Features are available at this moment for fast-cpp-csv-parser.

            fast-cpp-csv-parser Examples and Code Snippets

            No Code Snippets are available at this moment for fast-cpp-csv-parser.

            Community Discussions

            QUESTION

            What is the correct way to configure target_link_libraries in CMakeList when using multiple libraries? Getting Cannot specify link libraries error
            Asked 2017-Oct-12 at 08:27

            I am working on a project which uses the fast-cpp-csv-parser and date libraries and want to add zmq (0mq) however cannot get CMakeList to work.

            The following is a working CMakeList.txt:

            ...

            ANSWER

            Answered 2017-Oct-12 at 08:27

            You must reorder your CMakeLists.txt so that the target_link_libraries is located after add_executable.

            For instance:

            Source https://stackoverflow.com/questions/46702224

            QUESTION

            How to write a variadic-template function with objects as parameters?
            Asked 2017-Mar-09 at 10:18

            Consider the following functions (it uses the CSV parser library from ben-strasser (github))

            ...

            ANSWER

            Answered 2017-Mar-09 at 09:45

            With variadic templates you must materialize some short of compile time recursion:

            Source https://stackoverflow.com/questions/42691487

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install fast-cpp-csv-parser

            The following small example should contain most of the syntax you need to use the library.
            The library only needs a standard conformant C++11 compiler. It has no further dependencies. The library is completely contained inside a single header file and therefore it is sufficient to copy this file to some place on your include path. The library does not have to be explicitly build. Note however, that threads are used and some compiler (for example GCC) require you to link against additional libraries to make it work. With GCC it is important to add -lpthread as the last item when linking, i.e. the order in. is important. If you for some reason do not want to use threads you can define CSV_IO_NO_THREAD before including the header. Remember that the library makes use of C++11 features and therefore you have to enable support for it (f.e. add -std=c++0x or -std=gnu++0x). The library was developed and tested with GCC 4.6.1. Note that VS2013 is not C++11 compilant and will therefore not work out of the box. See here for what needs to be adjusted to make the code work.

            Support

            The libary provides two classes:. Note that everything is contained in the io namespace. The constructor takes a file name and optionally a data source. If no data source is provided the function tries to open the file with the given name and throws an error::can_not_open_file exception on failure. If a data source is provided then the file name is only used to format error messages. In that case you can essentially put any string there. Using a string that describes the data source results in more informative error messages. some_string_type can be a std::string or a char*. If the data source is a std::FILE* then the library will take care of calling std::fclose. If it is a std::istream then the stream is not closed by the library. For best performance open the streams in binary mode. However using text mode also works. ByteSourceBase provides an interface that you can use to implement further data sources. The read function should fill the provided buffer with at most size bytes from the data source. It should return the number of bytes actually written to the buffer. If data source has run out of bytes (because for example an end of file was reached) then the function should return 0. If a fatal error occures then you can throw an exception. Note that the function can be called both from the main and the worker thread. However, it is guarenteed that they do not call the function at the same time. Lines are read by calling the next_line function. It returns a pointer to a null terminated C-string that contains the line. If the end of file is reached a null pointer is returned. The newline character is not included in the string. You may modify the string as long as you do not write past the null terminator. The string stays valid until the destructor is called or until next_line is called again. Windows and *nix newlines are handled transparently. UTF-8 BOMs are automatically ignored and missing newlines at the end of the file are no problem. Important: There is a limit of 2^24-1 characters per line. If this limit is exceeded a error::line_length_limit_exceeded exception is thrown. Looping over all the lines in a file can be done in the following way. The remaining functions are mainly used used to format error messages. The file line indicates the current position in the file, i.e., after the first next_line call it is 1 and after the second 2. Before the first call it is 0. The file name is truncated as internally C-strings are used to avoid std::bad_alloc exceptions during error reporting. Note: It is not possible to exchange the line termination character. CSVReader uses policies. These are classes with only static members to allow core functionality to be exchanged in an efficient way. The column_count template parameter indicates how many columns you want to read from the CSV file. This must not necessarily coincide with the actual number of columns in the file. The three policies govern various aspects of the parsing. The trim policy indicates what characters should be ignored at the begin and the end of every column. The default ignores spaces and tabs. This makes sure that. is interpreted in the same way as. The trim_chars can take any number of template parameters. For example trim_chars<' ', '\t', '_'> is also valid. If no character should be trimmed use trim_chars<>.
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          • HTTPS

            https://github.com/ben-strasser/fast-cpp-csv-parser.git

          • CLI

            gh repo clone ben-strasser/fast-cpp-csv-parser

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            git@github.com:ben-strasser/fast-cpp-csv-parser.git

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