stdlib-js

stdlib-js/assert-is-error

Test if a value is an Error object.

JavaScript
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Apache License 2.0
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Support the dependencies of stdlib-js/assert-is-error

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Return the prototype of a provided object.
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Determine the specification defined classification of an object.
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Test if a value is a boolean.
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Check if the runtime is a web browser.
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Implement prototypical inheritance by replacing the prototype of one constructor with the prototype of another constructor.
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tap-producing test harness for node and browsers
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Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale
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Minimal TAP output formatter.
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Benchmark harness.

Support the repos that depend on stdlib-js/assert-is-error

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Compute the `L * D * L^T` factorization of a real symmetric positive definite tridiagonal matrix `A`.
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Copy all or part of a matrix A to another matrix B.
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Perform a series of row interchanges on an input matrix.
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Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant and add the result to a single-precision complex floating-point vector.
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Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant and add the result to a double-precision complex floating-point vector.
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Compute the L2-norm of a complex double-precision floating-point vector.
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Compute the L2-norm of a complex single-precision floating-point vector.
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Compute the sum of the absolute values of the real and imaginary components of a single-precision complex floating-point vector.
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Apply a plane rotation.
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Apply a modified Givens transformation.
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Apply a plane rotation.
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Apply a modified Givens transformation.
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Performs the rank 1 operation A = alpha⋅x⋅y^T + A.
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Scale a single-precision complex floating-point vector by a single-precision complex floating-point constant.
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Scale a double-precision complex floating-point vector by a double-precision complex floating-point constant.
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Find the index of the first element having the maximum absolute value.
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Apply a plane rotation.
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Find the index of the first element having the maximum absolute value.
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Apply a plane rotation.
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Copy values from one complex double-precision floating-point vector to another complex double-precision floating-point vector.
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Interchanges two complex double-precision floating-point vectors.
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Check if the process is running in a Docker container.
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Two-dimensional kernel density estimation.
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Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
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Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.
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Create a readable stream for generating pseudorandom numbers drawn from an F distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.
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Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.

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