armadillo/15.2.6

Armadillo is a high quality C++ library for linear algebra and scientific computing, aiming towards a good balance between speed and ease of use.

#blas#hdf5#lapack#linear algebra#math#matrix#mkl#scientific computing#vector

Using armadillo

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Packages

(header-only)
package IDda39a3ee5e6b4b0d3255bfef95601890afd80709
Recipe revision5446f413fd2de13b16caf94a933db829

options(none)
Linuxx86_64Release

package ID2252279c95f884229b454cb1416e4aea98c8aa11
Recipe revision5446f413fd2de13b16caf94a933db829

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsfPIC=True header_only=False shared=False use_arpack=False use_blas=openblas use_hdf5=True use_lapack=openblas use_superlu=False use_wrapper=False
Linuxx86_64Release

package ID450f7c29f70d4e95c83194d32283efa0fce2f991
Recipe revision5446f413fd2de13b16caf94a933db829

compilergcc
compiler.cppstdgnu17
compiler.version13

optionsheader_only=False shared=True use_arpack=False use_blas=openblas use_hdf5=True use_lapack=openblas use_superlu=False use_wrapper=False
Macosarmv8Release

package ID3fed1afa810a256eba66aa599292abb87f0f5eb0
Recipe revision5446f413fd2de13b16caf94a933db829

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsheader_only=False shared=True use_arpack=False use_blas=framework_accelerate use_hdf5=True use_lapack=framework_accelerate use_superlu=False use_wrapper=False
Macosarmv8Release

package IDc495ee1d5fef44011300fe0b11309c11b8baec72
Recipe revision5446f413fd2de13b16caf94a933db829

compilerapple-clang
compiler.cppstdgnu17
compiler.version17

optionsfPIC=True header_only=False shared=False use_arpack=False use_blas=framework_accelerate use_hdf5=True use_lapack=framework_accelerate use_superlu=False use_wrapper=False
Windowsx86_64Release

package ID50a2696c6107c6c55999a3ef3e004e2528f960e8
Recipe revision5446f413fd2de13b16caf94a933db829

compilermsvc
compiler.cppstd14
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsheader_only=False shared=False use_arpack=False use_blas=openblas use_hdf5=True use_lapack=openblas use_superlu=False use_wrapper=False
Windowsx86_64Release

package IDa09ae26df7ead873ee09f0ddb7a4e9bf69d97a72
Recipe revision5446f413fd2de13b16caf94a933db829

compilermsvc
compiler.cppstd14
compiler.version194
compiler.runtimedynamic
compiler.runtime_typeRelease

optionsheader_only=False shared=True use_arpack=False use_blas=openblas use_hdf5=True use_lapack=openblas use_superlu=False use_wrapper=False

Dependencies

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Apache-2.05446f413fd2de13b16caf94a933db829
Apache-2.057d7899af48ca1305a686ec8c9fc06f0
!Apache-2.0e800e892a97f75e030498109f0d0f4c5
!Apache-2.06a36f157b5d42cdb6b3ce692f07b3886
!Apache-2.03edabac548a3365f81a7aee54d855ced
!Apache-2.096661e387e6d897487078b6a272b8782

🔍 Ready to secure your dependencies in seconds?

  1. Register for free at audit.conan.io/register.
  2. Save your token and activate it via the confirmation email you receive.
  3. Configure Conan to use your token:
    conan audit provider auth conancenter --token=<token>
  4. Scan for vulnerabilities:
    # Check a specific reference
    conan audit list armadillo/15.2.6
    # Scan the entire dependency graph
    conan audit scan --requires=armadillo/15.2.6

Note: For more details on the Conan Audit command, please read this post.

Tip: To avoid exposing your token in shell history, authenticate using an environment variable (e.g. CONAN_AUDIT_PROVIDER_TOKEN_CONANCENTER=<token>). For more info, see the documentation.

conanv15.2.6
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