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Use "let's" instead of "lets" throughout
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README.md

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# HighFive - HDF5 header-only C++ Library
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[![Build Status](https://travis-ci.org/BlueBrain/HighFive.svg?branch=master)](https://travis-ci.org/BlueBrain/HighFive)
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[![Build Status](https://travis-ci.org/BlueBrain/HighFive.svg?branch=master)](https://travis-ci.org/BlueBrain/HighFive)
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[![Coverity Statys](https://scan.coverity.com/projects/13635/badge.svg)](https://scan.coverity.com/projects/highfive)
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## Brief
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HighFive is a modern C++/C++11 friendly interface for libhdf5.
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HighFive is a modern C++/C++11 friendly interface for libhdf5.
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HighFive supports STL vector/string, Boost::UBLAS and Boost::Multi-array. It handles C++ from/to HDF5 automatic type mapping.
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HighFive supports STL vector/string, Boost::UBLAS and Boost::Multi-array. It handles C++ from/to HDF5 automatic type mapping.
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HighFive does not require an additional library and supports both HDF5 thread safety and Parallel HDF5 (contrary to the official hdf5 cpp)
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### Design
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- Simple C++-ish minimalist interface
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- No other dependency than libhdf5
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- No other dependency than libhdf5
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- Zero overhead
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- Support C++11 ( compatible with C++98 )
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### Dependencies
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- libhdf5
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- (optional) boost >= 1.41
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- (optional) boost >= 1.41
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### Usage
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std::vector<int> data(50, 1);
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// lets create a dataset of native interger with the size of the vector 'data'
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// let's create a dataset of native interger with the size of the vector 'data'
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DataSet dataset = file.createDataSet<int>("/dataset_one", DataSpace::From(data));
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// lets write our vector of int to the HDF5 dataset
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// let's write our vector of int to the HDF5 dataset
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dataset.write(data);
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// read back
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See [boost_ublas_double.cpp](src/examples/boost_ublas_double.cpp)
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#### Write and read a subset of a 2D double dataset
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#### Write and read a subset of a 2D double dataset
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See [select_partial_dataset_cpp11.cpp](src/examples/select_partial_dataset_cpp11.cpp)
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Remember: Compilation is not required. Used only for unit test and examples
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```bash
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mkdir build; pushd build
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cmake ../
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make
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make test
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mkdir build; pushd build
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cmake ../
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make
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make test
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```
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### Feature support
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### Contributors
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- Adrien Devresse <[email protected]> - Blue Brain Project
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- Ali Can Demiralp <[email protected]> -
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- Ali Can Demiralp <[email protected]> -
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- Fernando Pereira <[email protected]> - Blue Brain Project
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- Stefan Eilemann <[email protected]> - Blue Brain Project
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- Tristan Carel <[email protected]> - Blue Brain Project
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- Wolf Vollprecht <[email protected]> - QuantStack
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### License
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Boost Software License 1.0
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Boost Software License 1.0
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src/examples/create_attribute_string_integer.cpp

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// Ok all attributes are now written
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// lets list the keys of all attributes now
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// let's list the keys of all attributes now
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std::vector<std::string> all_attributes_keys =
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dataset.listAttributeNames();
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for (std::vector<std::string>::const_iterator it =

src/examples/read_write_dataset_string.cpp

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DataSet dataset = file.createDataSet<std::string>(
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DATASET_NAME, DataSpace::From(string_list));
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// lets write our vector of string
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// let's write our vector of string
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dataset.write(string_list);
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// now we read it back

src/examples/select_by_id_dataset_cpp11.cpp

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", ", "你好", "Tea", "Moon", "صباح جميل", "Spaceship",
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};
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// lets create a dataset
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// let's create a dataset
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DataSet dataset = file.createDataSet<std::string>(
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DATASET_NAME, DataSpace::From(values));
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{
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DataSet dataset = file.getDataSet(DATASET_NAME);
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// now lets read back by cherry pick our interesting string
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// now let's read back by cherry pick our interesting string
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std::vector<std::string> result;
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// we select only element N° 2 and 5
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dataset.select(ElementSet({2, 4, 6, 7, 6, 10})).read(result);

src/examples/select_partial_dataset_cpp11.cpp

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std::vector<std::vector<double>> values = {
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{1.0, 2.0, 4.0, 8.0, 16.0}, {32.0, 64.0, 128.0, 256.0, 512.0}};
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// lets create a dataset of this size
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// let's create a dataset of this size
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DataSet dataset =
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file.createDataSet<double>(DATASET_NAME, DataSpace::From(values));
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// and write them

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