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suitesparse-4.0.2-3.fc19.armv6hl

suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format

suitesparse-4.4.6-7.fc25.x86_64

suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format

suitesparse-4.4.6-5.lbn19.x86_64

suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format

suitesparse-5.13.0-3.lbn36.x86_64

suitesparse is a collection of libraries for computations involving sparse matrices. The package includes the following libraries: AMD approximate minimum degree ordering BTF permutation to block triangular form (beta) CAMD constrained approximate minimum degree ordering COLAMD column approximate minimum degree ordering CCOLAMD constrained column approximate minimum degree ordering CHOLMOD sparse Cholesky factorization CSparse a concise sparse matrix package CXSparse CSparse extended: complex matrix, int and long int support KLU sparse LU factorization, primarily for circuit simulation LDL a simple LDL factorization SQPR a multithread, multifrontal, rank-revealing sparse QR factorization method UMFPACK sparse LU factorization SuiteSparse_config configuration file for all the above packages. RBio read/write files in Rutherford/Boeing format

summon-0.9.0-0.1.git13747f9.lbn25.x86_64

summon is a command-line tool to make working with secrets easier. It provides an interface for Reading a secrets.yml file Fetching secrets from a trusted store Exporting secret values to a sub-process environment

summon-aws-secrets-0.4.0-0.1.gitc015d9b.lbn25.x86_64

Summon provider for AWS Secrets Manager

summon-chefapi-0.1.1-0.2.git88fdef1.lbn25.x86_64

For many, Chef encrypted data bags are difficult to work with. This Summon provider allows you to use Summon + secrets.yml to improve your development workflow with encrypted data bags. Example Create an encrypted data bag with a PostgreSQL password. $ knife data bag create passwords postgres --secret-file encrypted_data_bag_secret { "id": "postgres", "value": "mysecretpassword" } Install Summon and this provider. Create a secrets.yml file. POSTGRES_PASSWORD: !var passwords/postgres/value Now you can inject the password into any process as an environment variable. Instead of dealing with the Data Bag API in your Chef recipe, you can just use ENV['POSTGRES_PASSWORD']. $ summon chef-client --once Once chef-client finishes, the password is gone, not left on your system. Configure Configuration of this provider is through environment variables: CHEF_NODE_NAME: The name of the node. (node_name in knife.rb) CHEF_CLIENT_KEY_PATH: The location of the file that contains the client key. (client_key in knife.rb) CHEF_SERVER_URL: The URL for the Chef server. (chef_server_url in knife.rb) CHEF_DECRYPTION_KEY_PATH: The location of the file that contains the decryption key. CHEF_SKIP_SSL: Skip SSL verification (for self-signed certs). Set to "1" to activate.

summon-conjur-0.6.0-0.1.gitf48c46b.lbn25.x86_64

CyberArk Conjur provider for Summon

summon-keyring-0.2.1-2.lbn25.noarch

Cross-platform provider for Summon that talks to keyrings. Wraps the Python keyring library to allow summon to fetch credentials from: OSX Keychain Linux Secret Service Windows Credential Vault gnome-keyring kwallet This provider requires that you have Python and pip installed. By default, this provider fetches secrets from the service "summon". Change this by setting the SUMMON_KEYRING_SERVICE environment variable.

summon-s3-0.2.0-0.2.git42b6d99.lbn25.x86_64

AWS S3 provider for Summon. Provides access to secrets stored in Amazon S3.