bump version

Author: sl-solution

Project.toml

@@ -1,7 +1,7 @@
 name = "InMemoryDatasets"
 uuid = "5c01b14b-ab03-46ff-b164-14c663efdd9f"
 authors = ["sl-solution <github.sl.solution@icloud.com> and contributors"]
-version = "0.7.6"
+version = "0.7.7"
 
 [deps]
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"

docs/src/man/byrow.md

@@ -238,7 +238,8 @@ One special function that can be used as `fun` in the `byrow` function is `mapre
 ## User defined operations
 
 For user defined functions which return a single value, `byrow` treats each row as a vector of values, thus the user defined function must accept a vector and returns a single value.
-However, when user defines a multivariate function and pass a Tuple of column indices as the `cols` argument of `byrow`, the `byrow` function simply calls `fun.(ds[:, cols[1]], ds[:, cols2], ...)`.
+However, when user defines a multivariate function and pass a Tuple of column indices as the `cols` argument of `byrow`, the `byrow` function simply calls `fun.(ds[:, cols[1]], ds[:, cols2], ...)`. Currently, the `threads` keyword argument is not available for this case.
+
 For instance to calculate `1 * col1 + 2 * col2 + 3 * col3` for each row in `ds` we can define the following function:
 
 ```jldoctest