Le 11/11/2013 09:47, Thomas Neidhart a écrit :
> On 11/11/2013 01:07 AM, Phil Steitz wrote:
>> Clirr does not complain about this change, I guess because pre- and
>> post- are both unchecked, unadvertised exceptions.  Before making
>> more of these changes, I want to make sure others are OK with this
>> in a dot release.

As far as I am concerned, I am OK with this.

>> Users who catch MathIllegalArgumentException will
>> not be affected by this change, but those who catch
>> NumberIsTooSmallException may break.  I thought about having the new
>> exception subclass NumberIsTooSmallException, but that does not
>> really make sense to me.  If others are not OK with this, I can roll
>> back this change and wait to start using the new exception in older
>> classes until 4.0.
> 
> If unsure, we could make it subclass NumberIsTooSmallException for now
> and then change it to MathIllegalArgumentException in 4.0?

I'm not sure it is worth the effort, and we may well forget about it
after 3.3.

Luc

> 
> Thomas
> 
>> -------- Original Message --------
>> Subject:     svn commit: r1540502 -
>> /commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>
>> Date:        Sun, 10 Nov 2013 18:03:41 -0000
>> From:        pste...@apache.org
>> Reply-To:    dev@commons.apache.org
>> To:  comm...@commons.apache.org
>>
>>
>>
>> Author: psteitz
>> Date: Sun Nov 10 18:03:41 2013
>> New Revision: 1540502
>>
>> URL: http://svn.apache.org/r1540502
>> Log:
>> Changed to use InsufficientDataException when the model does not contain 
>> sufficient data for the number of regerssors; fixed error in precondition 
>> statement.
>>
>> Modified:
>>     
>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>
>> Modified: 
>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>> URL: 
>> http://svn.apache.org/viewvc/commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java?rev=1540502&r1=1540501&r2=1540502&view=diff
>> ==============================================================================
>> --- 
>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>  (original)
>> +++ 
>> commons/proper/math/trunk/src/main/java/org/apache/commons/math3/stat/regression/AbstractMultipleLinearRegression.java
>>  Sun Nov 10 18:03:41 2013
>> @@ -17,10 +17,10 @@
>>  package org.apache.commons.math3.stat.regression;
>>  
>>  import org.apache.commons.math3.exception.DimensionMismatchException;
>> +import org.apache.commons.math3.exception.InsufficientDataException;
>>  import org.apache.commons.math3.exception.MathIllegalArgumentException;
>>  import org.apache.commons.math3.exception.NoDataException;
>>  import org.apache.commons.math3.exception.NullArgumentException;
>> -import org.apache.commons.math3.exception.NumberIsTooSmallException;
>>  import org.apache.commons.math3.exception.util.LocalizedFormats;
>>  import org.apache.commons.math3.linear.NonSquareMatrixException;
>>  import org.apache.commons.math3.linear.RealMatrix;
>> @@ -109,8 +109,8 @@ public abstract class AbstractMultipleLi
>>       * @throws NullArgumentException if the data array is null
>>       * @throws DimensionMismatchException if the length of the data array 
>> is not equal
>>       * to <code>nobs * (nvars + 1)</code>
>> -     * @throws NumberIsTooSmallException if <code>nobs</code> is smaller 
>> than
>> -     * <code>nvars</code>
>> +     * @throws InsufficientDataException if <code>nobs</code> is less than
>> +     * <code>nvars + 1</code>
>>       */
>>      public void newSampleData(double[] data, int nobs, int nvars) {
>>          if (data == null) {
>> @@ -120,7 +120,7 @@ public abstract class AbstractMultipleLi
>>              throw new DimensionMismatchException(data.length, nobs * (nvars 
>> + 1));
>>          }
>>          if (nobs <= nvars) {
>> -            throw new NumberIsTooSmallException(nobs, nvars, false);
>> +            throw new 
>> InsufficientDataException(LocalizedFormats.INSUFFICIENT_OBSERVED_POINTS_IN_SAMPLE,
>>  nobs, nvars + 1);
>>          }
>>          double[] y = new double[nobs];
>>          final int cols = noIntercept ? nvars: nvars + 1;
>>
>>
>>
>>
>>
>>
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> 
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