[ https://issues.apache.org/jira/browse/SPARK-24740?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-24740: ------------------------------------ Assignee: Hyukjin Kwon (was: Apache Spark) > PySpark tests do not pass with NumPy 0.14.x+ > -------------------------------------------- > > Key: SPARK-24740 > URL: https://issues.apache.org/jira/browse/SPARK-24740 > Project: Spark > Issue Type: Test > Components: ML, PySpark > Affects Versions: 2.4.0 > Reporter: Hyukjin Kwon > Assignee: Hyukjin Kwon > Priority: Minor > > For example, running PySpark tests failed as below: > {code} > ********************************************************************** > File "/.../spark/python/pyspark/ml/clustering.py", line 592, in > __main__.BisectingKMeans > Failed example: > model.clusterCenters()[0] == model2.clusterCenters()[0] > Expected: > array([ True, True], dtype=bool) > Got: > array([ True, True]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/clustering.py", line 594, in > __main__.BisectingKMeans > Failed example: > model.clusterCenters()[1] == model2.clusterCenters()[1] > Expected: > array([ True, True], dtype=bool) > Got: > array([ True, True]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/clustering.py", line 392, in > __main__.KMeans > Failed example: > model.clusterCenters()[0] == model2.clusterCenters()[0] > Expected: > array([ True, True], dtype=bool) > Got: > array([ True, True]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/clustering.py", line 394, in > __main__.KMeans > Failed example: > model.clusterCenters()[1] == model2.clusterCenters()[1] > Expected: > array([ True, True], dtype=bool) > Got: > array([ True, True]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 895, in > __main__.DenseMatrix.__str__ > Failed example: > print(dm) > Expected: > DenseMatrix([[ 0., 2.], > [ 1., 3.]]) > Got: > DenseMatrix([[0., 2.], > [1., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 899, in > __main__.DenseMatrix.__str__ > Failed example: > print(dm) > Expected: > DenseMatrix([[ 0., 1.], > [ 2., 3.]]) > Got: > DenseMatrix([[0., 1.], > [2., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 939, in > __main__.DenseMatrix.toArray > Failed example: > m.toArray() > Expected: > array([[ 0., 2.], > [ 1., 3.]]) > Got: > array([[0., 2.], > [1., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 324, in > __main__.DenseVector.dot > Failed example: > dense.dot(np.reshape([1., 2., 3., 4.], (2, 2), order='F')) > Expected: > array([ 5., 11.]) > Got: > array([ 5., 11.]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 567, in > __main__.SparseVector.dot > Failed example: > a.dot(np.array([[1, 1], [2, 2], [3, 3], [4, 4]])) > Expected: > array([ 22., 22.]) > Got: > array([22., 22.]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 895, in > __main__.DenseMatrix.__str__ > Failed example: > print(dm) > Expected: > DenseMatrix([[ 0., 2.], > [ 1., 3.]]) > Got: > DenseMatrix([[0., 2.], > [1., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 899, in > __main__.DenseMatrix.__str__ > Failed example: > print(dm) > Expected: > DenseMatrix([[ 0., 1.], > [ 2., 3.]]) > Got: > DenseMatrix([[0., 1.], > [2., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 939, in > __main__.DenseMatrix.toArray > Failed example: > m.toArray() > Expected: > array([[ 0., 2.], > [ 1., 3.]]) > Got: > array([[0., 2.], > [1., 3.]]) > ********************************************************************** > File "/.../spark/python/pyspark/ml/linalg/__init__.py", line 567, in > __main__.SparseVector.dot > Failed example: > a.dot(np.array([[1, 1], [2, 2], [3, 3], [4, 4]])) > Expected: > array([ 22., 22.]) > Got: > array([22., 22.]) > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org