feat: update error databases

Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com>

Author: Planeshifter

lib/node_modules/@stdlib/error/tools/database/data/data.csv

@@ -1229,3 +1229,26 @@
 "Jo","invalid invocation. Must provide at least one argument.","Error"
 "Jp","invalid argument. Last argument must be a one-dimensional ndarray. Value: `%s`.","TypeError"
 "Jq","invalid argument. Each ndarray argument must have fewer than two dimensions. Argument: %d.","TypeError"
+"Jr","invalid invocation. Must provide at least three arguments.","Error"
+"Js","invalid argument. First argument must contain at least one element greater than zero (i.e., the total number of observations must be greater than zero).","Error"
+"Jt","%s %s failed with exit code: %s.","Error"
+"Ju","%s %s failed due to termination signal: %s.","Error"
+"Jv","invalid argument. First argument must have one of the following data types: ""%s"". Value: `%s`.","TypeError"
+"Jw","invalid argument. Third argument must be an array of integers. Value: `%s`.","TypeError"
+"Jx","invalid argument. Second argument must have at least as many elements as the number of dimensions of the first argument. Number of input dimensions: `%u`. Number of repetitions: `%u`.","RangeError"
+"Jy","invalid arguments. Arrays must have the same number of dimensions (i.e., same rank). ndims(x) == %d. ndims(y) == %d. ndims(z) == %d. ndims(w) == %d.","Error"
+"Jz","invalid argument. Product of the sizes must be equal to the size of the dimension to be unflattened. Dimension: %d. Size: %d. Value: `[%s]`.","RangeError"
+"K0","invalid argument. The first argument cannot be safely cast to the output array data type. Data type: %s. Value: `%s`.","TypeError"
+"K1","invalid argument. Specified dimension index is out-of-bounds. Must be on the interval: [-%u, %u]. Value: `%d`.","RangeError"
+"K2","invalid argument. First argument must contain one or more ndarrays. Value: `%s`.","RangeError"
+"K3","invalid argument. Second argument must be a two-dimensional ndarray. Number of dimensions: `%u`.","RangeError"
+"K4","invalid argument. First argument must be an array-like object containing one or more ndarrays. Value: `%s`.","TypeError"
+"K5","invalid argument. Must provide one- or two-dimensional ndarrays. Number of dimensions: `%u`.","RangeError"
+"K6","invalid argument. All ndarrays must have the same number of rows. Expected number of rows: `%u`. Actual number of rows: `%u`.","Error"
+"K7","invalid option. `%s` option must be a negative integer. Option: `%s`.","TypeError"
+"K8","invalid argument. Second argument must be a string or an array of strings. Value: `%s`.","TypeError"
+"K9","invalid option. Dimension index exceeds the number of dimensions. Number of dimensions: %d. Value: `%d`.","RangeError"
+"KA","invalid argument. Fourth argument must be an ndarray-like object. Value: `%s`.","TypeError"
+"KB","invalid argument. Second argument must be a zero-dimensional ndarray.","TypeError"
+"KC","invalid option. `%s` option must be a zero-dimensional ndarray.","TypeError"
+"KD","invalid argument. Second argument must be either an ndarray or an integer. Value: `%s`.","TypeError"