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See the recommended documentation of this function

# sci_files

How to write conversion functions

### Description

To convert calls to Matlab functions, `mfile2sci`

uses a function called
`sci_<Matlab_function_name>`

. All these functions are defined in `sci_files`

in directory SCI/modules/m2sci/macros/sci_files/. The set of `sci_files`

given in Scilab
distribution does not allow to convert calls to all Matlab functions yet.
However, a Scilab user can add `sci_files`

(for Matlab functions or for user defined functions)
to Scilab using the following tips.

In M2SCI, a function call is considered as a "tree" (it is also the case for the instructions
of the file to convert), represented in Scilab by a `tlist`

with following fields:

- name
Matlab function name

- lhsnb
number of Matlab function output parameters

- lhs
list of Matlab function output parameters

- rhs
list of Matlab function input parameters

A `sci_function`

has one input called `tree`

which is also the output of the function.
A `sci_function`

has to convert this incoming "tree" so that it is compatible with Scilab
by changing name, lhsnb, lhs and/or rhs. The other task that has to be done by this function
is inference. Incoming tree contains inference data in its lhs that have to be updated with what
can be infered for the outputs of this function.

Some useful functions have been written to help to create M2SCI tlists while writing this conversion function:

- Funcall
create a tree representing a function call

- Operation
create a tree representing an operation

- Variable
create a tree representing a variable

- Cste
create a tree representing a constante value

- Infer
create a tree representing inference data

- Type
create a tree representing type for inference

- Equal
create a tree representing an instruction

Some other functions have been designed to get properties of operands/inputs. Considering A is tlist used in macro tree, you can use the following functions:

Function | returns `%T` if... |

`is_empty(A)` |
all dimensions of A are 0 |

`not_empty(A)` |
all dimensions of A are known and at least one dimension of A is not 0 |

`is_a_scalar(A)` |
all dimensions of A are 1 |

`not_a_scalar(A)` |
all dimensions of A are known and at least one dimension of A is not 1 |

`is_a_vector(A)` |
all dimensions of A are known and all dimensions of A but one are equal to 1 |

`not_a_vector(A)` |
all dimensions of A are known and at least two dimensions of A are greater than one |

`is_real(A)` |
A is real |

`is_complex(A)` |
A is complex |

`isdefinedvar(A)` |
A is a variable already created in M-file currently converted |

`allunknown(A)` |
all dimensions of A are unknown |

Some other functions have been written for specific needs while writing conversion files:

- first_non_singleton
is an equivalent to firstnonsingleton for an M2SCI tlist. Calling sequence:

`dim = first_non_singleton(A)`

- gettempvar
generates a temporary variable having a name which does not already exist. Calling sequence:

`v = gettempvar()`

- insert
allows to insert instructions. Calling sequence:

`insert(Equal(...),opt)`

with`opt~=1`

to insert before current instruction and`opt=1`

to insert after it.- getoperands
can be used to get each operand as a variable. Calling sequence:

`[A,B] = getoperands(operation_tlist)`

- getrhs
can be used to get each parameter as a variable. Calling sequence:

`[A,...] = getrhs(funcall_tlist)`

- convert2double
change type of input when this type is not implemented for a particular function is Scilab. Calling sequence:

`A = convert2double(A)`

To have more information about how to write such files, refer to directory SCI/modules/m2sci/macros/sci_files/ which gives many examples from very simple ones (e.g. sci_abs.sci) to very complex ones (e.g. sci_zeros.sci).

### See Also

- m2scideclare — Giving tips to help M2SCI...
- Funcall — Create a tree representing a function call
- Operation — Create a tree representing an operation
- Variable — Create a tree representing a variable
- Cste — Create a tree representing a constant
- Infer — Create a tree containing inference data
- Type — Create a tree containing type inference data
- Equal — Create a tree representing an instruction

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