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https://issues.apache.org/jira/browse/SPARK-17587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17587:
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Assignee: (was: Apache Spark)
> SparseVector __getitem__ should follow __getitem__ contract
> -----------------------------------------------------------
>
> Key: SPARK-17587
> URL: https://issues.apache.org/jira/browse/SPARK-17587
> Project: Spark
> Issue Type: Bug
> Components: ML, MLlib, PySpark
> Affects Versions: 1.6.0, 2.0.0
> Reporter: Maciej Szymkiewicz
> Priority: Minor
>
> According to {{\_\_getitem\_\_}}
> [contract|https://docs.python.org/3/reference/datamodel.html#object.__getitem__]:
> {quote}
> if of a value outside the set of indexes for the sequence (after any special
> interpretation of negative values), {{IndexError}} should be raised.
> {quote}
> This required for example for correct iteration over the structure.
> Right now it throws {{ValueError}} what results in a quite confusing behavior
> when attempt to iterate over a vector results in a {{ValueError}} due to
> unterminated iteration:
> {code}
> In [1]: from pyspark.mllib.linalg import SparseVector
> In [2]: list(SparseVector(4, [0], [0]))
> ---------------------------------------------------------------------------
> ValueError Traceback (most recent call last)
> <ipython-input-2-147f3bb0a47d> in <module>()
> ----> 1 list(SparseVector(4, [0], [0]))
> /opt/spark-2.0/python/pyspark/mllib/linalg/__init__.py in __getitem__(self,
> index)
> 803
> 804 if index >= self.size or index < -self.size:
> --> 805 raise ValueError("Index %d out of bounds." % index)
> 806 if index < 0:
> 807 index += self.size
> ValueError: Index 4 out of bounds.
> {code}
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