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[MATLAB] Implement a ClassTypeValidator class that validates a MATLAB cell array contains only values of the same class type. #38419

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sgilmore10 opened this issue Oct 23, 2023 · 1 comment · Fixed by #38530
Closed

[MATLAB] Implement a ClassTypeValidator class that validates a MATLAB cell array contains only values of the same class type. #38419

sgilmore10 opened this issue Oct 23, 2023 · 1 comment · Fixed by #38530
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Component: MATLAB Type: enhancement
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15.0.0

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sgilmore10 commented Oct 23, 2023 •
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Describe the enhancement requested

Adding this ClassTypeValidator class is a step towards implementing the arrow.array.ListArray.fromMATLAB() method for creating ListArrays whose ValueTypes is either a numeric, boolean, string, time32, or time64 array from a MATLAB cell array.

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MATLAB
@sgilmore10 sgilmore10 changed the title [MATLAB] Implement a ClassTypeValidator that validates a MATLAB cell array contains only values of the same class type. [MATLAB] Implement a ClassTypeValidator class that validates a MATLAB cell array contains only values of the same class type. Oct 23, 2023
@kevingurney kevingurney assigned sgilmore10 and unassigned sgilmore10 Oct 23, 2023
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@github-actions github-actions bot mentioned this issue Oct 31, 2023
Merged
kevingurney pushed a commit that referenced this issue Oct 31, 2023
@sgilmore10
GH-38419: [MATLAB] Implement a ClassTypeValidator class that valida…
aaf01e8 
…tes a MATLAB `cell` array contains only values of the same class type. (#38530)

### Rationale for this change

Adding this `ClassTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is either a numeric, boolean, string, time32, or time64 array from a MATLAB `cell` array.

### What changes are included in this PR?

Added an abstract class `arrow.array.internal.list.ListTypeValidator` that defines three abstract methods: 
1. `validateElement(obj, element)`
2. `length = getElementLength(obj, element)` 
3. `C = reshapeCellElements(obj, C)`

These abstract methods will be used in `ListArray.fromMATLAB` to create `ListArray`s from MATLAB `cell` arrays.  Below is a  "pared-down" version of how the `fromMATLAB` algorithm will work:

```matlab
function listArray = fromMATLAB(C)

    % Create the appropriate ListTypeValidator from the
    % first element in the cell array C
    validator = createListTypeValidator(C{1});

    % Pre-allocate a uint32 vector for the offsets
    numRows = numel(C);
    offsets = zeros([numRows 1], "int32");

    for ii = 1:numRows
         cellElement = C{ii};
    
        % Validate cellElement can be used to create
        % one row in the ListArray, i.e. For example,
        % if the first element in C was a double, verify
        % cellElement is also a double.
        validator.validateElement(cellElement);

        % Determine how much to increment the 
        % last offset value by to set the offset at index ii + 1.
        length = validator.getElementLEngth(cellElement);
        offsets[ii + 1] = length + offsets[i];
    end

    % Reshape the elements in cell array C so that they
    % can be vertically concatenated.
    C = validator.reshapeCellElements(C);
    
    % Extract the cell array elements and vertically concatenate
    % them into one array. Then pass this array to arrow.array().
    values = vertcat(C{:});
    valueArray = arrow.array(values);
     
    % Create an Int32Array from offsets
    offsetArray = arrow.array(offsets);

    listArray = arrow.array.ListArray(Values=valueArray, Offsets=offsetArray)
end
```
The concrete type of the `validator` object is created based on the first element in the `cell` array `C`.  We use the first element to determine what kind of `ListArray` to construct from the input `cell` array.

--

Added a concrete class called `arrow.array.internal.list.ClassTypeValidator`, which inherits from `arrow.array.internal.list.ListTypeValidator`:

1. `validateElement(obj, element)` - Throws an error if the element's class type does not match the expected value.
2.  `length = getElementLength(obj, element)` - Returns the number of elements in the input array.
3.  `C = reshapeCellElements(obj, C)` - Reshapes all elements in the `cell` array `C` to be column vectors.

`ClassTypeValidator` will be used when creating `ListArray`s from MATLAB `cell` arrays containing "primitive types", such as numerics, strings, and durations.

### Are these changes tested?

Yes. I added a new class called `tClassTypeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. #38420 
2. #38417
3. #38354 
* Closes: #38419

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
@kevingurney kevingurney added this to the 15.0.0 milestone Oct 31, 2023
@sgilmore10 sgilmore10 mentioned this issue Oct 31, 2023
Merged
kevingurney pushed a commit that referenced this issue Oct 31, 2023
@sgilmore10
GH-38420: [MATLAB] Implement a DatetimeValidator class that validat…
c49e242 
…es a MATLAB `cell` array contains only values of zoned or unzoned `datetime`s (#38533)

### Rationale for this change

This is a followup to #38419.

Adding this `DatetimeTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is a timestamp array from a MATLAB `cell` array.

This validator will ensure the cell array contain only `datetime`s or unzoned `datetime`s. This is a requirement when creating a `List` of `Timestamp`s because two MATLAB `datetime`s can only be concatenated together if they are either both zoned or both unzoned:

```matlab
>> d1 = datetime(2023, 10, 31, TimeZone="America/New_York");
>> d2 =datetime(2023, 11, 1);
>> [d1; d2]
Error using datetime/vertcat
Unable to concatenate a datetime array that has a time zone with one that does not have a time
zone.
```

### What changes are included in this PR?

Added a new MATLAB class called `arrow.array.internal.list.DatetimeValidator`, which inherits from `arrow.array.internal.list.ClassTypeValidator`.

 This new class defines one property called `HasTimeZone`, which is a scalar `logical` indicating if the validator expects all `datetime`s to be zoned or not. 

Additionally, `DatetimeValidator` overrides the `validateElement` method. It first call's `ClassTypeValidator`'s implementation of `validateElement` to verify the input element is a `datetime`. If so, it then confirms that the input `datetime`'s TimeZone property is empty or nonempty, based on the validator's `HasTimeZone`  property value.

### Are these changes tested?

Yes, I added a new test class called `tDatetimeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. #38417 
2. #38354 
* Closes: #38420

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
loicalleyne pushed a commit to loicalleyne/arrow that referenced this issue Nov 13, 2023
@sgilmore10 @loicalleyne
apacheGH-38419: [MATLAB] Implement a ClassTypeValidator class that …
3c5703a 
…validates a MATLAB `cell` array contains only values of the same class type. (apache#38530)

### Rationale for this change

Adding this `ClassTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is either a numeric, boolean, string, time32, or time64 array from a MATLAB `cell` array.

### What changes are included in this PR?

Added an abstract class `arrow.array.internal.list.ListTypeValidator` that defines three abstract methods: 
1. `validateElement(obj, element)`
2. `length = getElementLength(obj, element)` 
3. `C = reshapeCellElements(obj, C)`

These abstract methods will be used in `ListArray.fromMATLAB` to create `ListArray`s from MATLAB `cell` arrays.  Below is a  "pared-down" version of how the `fromMATLAB` algorithm will work:

```matlab
function listArray = fromMATLAB(C)

    % Create the appropriate ListTypeValidator from the
    % first element in the cell array C
    validator = createListTypeValidator(C{1});

    % Pre-allocate a uint32 vector for the offsets
    numRows = numel(C);
    offsets = zeros([numRows 1], "int32");

    for ii = 1:numRows
         cellElement = C{ii};
    
        % Validate cellElement can be used to create
        % one row in the ListArray, i.e. For example,
        % if the first element in C was a double, verify
        % cellElement is also a double.
        validator.validateElement(cellElement);

        % Determine how much to increment the 
        % last offset value by to set the offset at index ii + 1.
        length = validator.getElementLEngth(cellElement);
        offsets[ii + 1] = length + offsets[i];
    end

    % Reshape the elements in cell array C so that they
    % can be vertically concatenated.
    C = validator.reshapeCellElements(C);
    
    % Extract the cell array elements and vertically concatenate
    % them into one array. Then pass this array to arrow.array().
    values = vertcat(C{:});
    valueArray = arrow.array(values);
     
    % Create an Int32Array from offsets
    offsetArray = arrow.array(offsets);

    listArray = arrow.array.ListArray(Values=valueArray, Offsets=offsetArray)
end
```
The concrete type of the `validator` object is created based on the first element in the `cell` array `C`.  We use the first element to determine what kind of `ListArray` to construct from the input `cell` array.

--

Added a concrete class called `arrow.array.internal.list.ClassTypeValidator`, which inherits from `arrow.array.internal.list.ListTypeValidator`:

1. `validateElement(obj, element)` - Throws an error if the element's class type does not match the expected value.
2.  `length = getElementLength(obj, element)` - Returns the number of elements in the input array.
3.  `C = reshapeCellElements(obj, C)` - Reshapes all elements in the `cell` array `C` to be column vectors.

`ClassTypeValidator` will be used when creating `ListArray`s from MATLAB `cell` arrays containing "primitive types", such as numerics, strings, and durations.

### Are these changes tested?

Yes. I added a new class called `tClassTypeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. apache#38420 
2. apache#38417
3. apache#38354 
* Closes: apache#38419

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
loicalleyne pushed a commit to loicalleyne/arrow that referenced this issue Nov 13, 2023
@sgilmore10 @loicalleyne
apacheGH-38420: [MATLAB] Implement a DatetimeValidator class that v…
975845b 
…alidates a MATLAB `cell` array contains only values of zoned or unzoned `datetime`s (apache#38533)

### Rationale for this change

This is a followup to apache#38419.

Adding this `DatetimeTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is a timestamp array from a MATLAB `cell` array.

This validator will ensure the cell array contain only `datetime`s or unzoned `datetime`s. This is a requirement when creating a `List` of `Timestamp`s because two MATLAB `datetime`s can only be concatenated together if they are either both zoned or both unzoned:

```matlab
>> d1 = datetime(2023, 10, 31, TimeZone="America/New_York");
>> d2 =datetime(2023, 11, 1);
>> [d1; d2]
Error using datetime/vertcat
Unable to concatenate a datetime array that has a time zone with one that does not have a time
zone.
```

### What changes are included in this PR?

Added a new MATLAB class called `arrow.array.internal.list.DatetimeValidator`, which inherits from `arrow.array.internal.list.ClassTypeValidator`.

 This new class defines one property called `HasTimeZone`, which is a scalar `logical` indicating if the validator expects all `datetime`s to be zoned or not. 

Additionally, `DatetimeValidator` overrides the `validateElement` method. It first call's `ClassTypeValidator`'s implementation of `validateElement` to verify the input element is a `datetime`. If so, it then confirms that the input `datetime`'s TimeZone property is empty or nonempty, based on the validator's `HasTimeZone`  property value.

### Are these changes tested?

Yes, I added a new test class called `tDatetimeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. apache#38417 
2. apache#38354 
* Closes: apache#38420

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
dgreiss pushed a commit to dgreiss/arrow that referenced this issue Feb 19, 2024
@sgilmore10 @dgreiss
apacheGH-38419: [MATLAB] Implement a ClassTypeValidator class that …
8310ffd 
…validates a MATLAB `cell` array contains only values of the same class type. (apache#38530)

### Rationale for this change

Adding this `ClassTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is either a numeric, boolean, string, time32, or time64 array from a MATLAB `cell` array.

### What changes are included in this PR?

Added an abstract class `arrow.array.internal.list.ListTypeValidator` that defines three abstract methods: 
1. `validateElement(obj, element)`
2. `length = getElementLength(obj, element)` 
3. `C = reshapeCellElements(obj, C)`

These abstract methods will be used in `ListArray.fromMATLAB` to create `ListArray`s from MATLAB `cell` arrays.  Below is a  "pared-down" version of how the `fromMATLAB` algorithm will work:

```matlab
function listArray = fromMATLAB(C)

    % Create the appropriate ListTypeValidator from the
    % first element in the cell array C
    validator = createListTypeValidator(C{1});

    % Pre-allocate a uint32 vector for the offsets
    numRows = numel(C);
    offsets = zeros([numRows 1], "int32");

    for ii = 1:numRows
         cellElement = C{ii};
    
        % Validate cellElement can be used to create
        % one row in the ListArray, i.e. For example,
        % if the first element in C was a double, verify
        % cellElement is also a double.
        validator.validateElement(cellElement);

        % Determine how much to increment the 
        % last offset value by to set the offset at index ii + 1.
        length = validator.getElementLEngth(cellElement);
        offsets[ii + 1] = length + offsets[i];
    end

    % Reshape the elements in cell array C so that they
    % can be vertically concatenated.
    C = validator.reshapeCellElements(C);
    
    % Extract the cell array elements and vertically concatenate
    % them into one array. Then pass this array to arrow.array().
    values = vertcat(C{:});
    valueArray = arrow.array(values);
     
    % Create an Int32Array from offsets
    offsetArray = arrow.array(offsets);

    listArray = arrow.array.ListArray(Values=valueArray, Offsets=offsetArray)
end
```
The concrete type of the `validator` object is created based on the first element in the `cell` array `C`.  We use the first element to determine what kind of `ListArray` to construct from the input `cell` array.

--

Added a concrete class called `arrow.array.internal.list.ClassTypeValidator`, which inherits from `arrow.array.internal.list.ListTypeValidator`:

1. `validateElement(obj, element)` - Throws an error if the element's class type does not match the expected value.
2.  `length = getElementLength(obj, element)` - Returns the number of elements in the input array.
3.  `C = reshapeCellElements(obj, C)` - Reshapes all elements in the `cell` array `C` to be column vectors.

`ClassTypeValidator` will be used when creating `ListArray`s from MATLAB `cell` arrays containing "primitive types", such as numerics, strings, and durations.

### Are these changes tested?

Yes. I added a new class called `tClassTypeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. apache#38420 
2. apache#38417
3. apache#38354 
* Closes: apache#38419

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
dgreiss pushed a commit to dgreiss/arrow that referenced this issue Feb 19, 2024
@sgilmore10 @dgreiss
apacheGH-38420: [MATLAB] Implement a DatetimeValidator class that v…
18335ec 
…alidates a MATLAB `cell` array contains only values of zoned or unzoned `datetime`s (apache#38533)

### Rationale for this change

This is a followup to apache#38419.

Adding this `DatetimeTypeValidator` class is a step towards implementing the `arrow.array.ListArray.fromMATLAB()` method for creating `ListArray`s whose `ValueType`s is a timestamp array from a MATLAB `cell` array.

This validator will ensure the cell array contain only `datetime`s or unzoned `datetime`s. This is a requirement when creating a `List` of `Timestamp`s because two MATLAB `datetime`s can only be concatenated together if they are either both zoned or both unzoned:

```matlab
>> d1 = datetime(2023, 10, 31, TimeZone="America/New_York");
>> d2 =datetime(2023, 11, 1);
>> [d1; d2]
Error using datetime/vertcat
Unable to concatenate a datetime array that has a time zone with one that does not have a time
zone.
```

### What changes are included in this PR?

Added a new MATLAB class called `arrow.array.internal.list.DatetimeValidator`, which inherits from `arrow.array.internal.list.ClassTypeValidator`.

 This new class defines one property called `HasTimeZone`, which is a scalar `logical` indicating if the validator expects all `datetime`s to be zoned or not. 

Additionally, `DatetimeValidator` overrides the `validateElement` method. It first call's `ClassTypeValidator`'s implementation of `validateElement` to verify the input element is a `datetime`. If so, it then confirms that the input `datetime`'s TimeZone property is empty or nonempty, based on the validator's `HasTimeZone`  property value.

### Are these changes tested?

Yes, I added a new test class called `tDatetimeValidator.m`.

### Are there any user-facing changes?

No.

### Future Directions

1. apache#38417 
2. apache#38354 
* Closes: apache#38420

Authored-by: Sarah Gilmore <[email protected]>
Signed-off-by: Kevin Gurney <[email protected]>
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Component: MATLAB Type: enhancement
Projects
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15.0.0
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@kevingurney @sgilmore10