# TaylorTest

Simple package to check derivatives

# Usage

```
  check(f, Jf, x[, constant_components]; f_kwargs...)
```

Returns true if `Jf` approximates the derivative/gradient/Jacobian of `f` at point `x` (along a random direction).
`f_kwargs` are keywords arguments to be passed to `f` and `Jf`.
`constant_components` is an optional `Vector{Int}` corresponding to components of the direction which should be set to zero,
effectively ignoring the dependency of `f` on these components.

## Examples
```julia
import TaylorTest

f = x -> cos(x)
Jf = x -> -sin(x)

TaylorTest.check(f, Jf, rand())

# [ Info: Approximation order ~ 1.0
# true
```