/usr/lib/python2.7/dist-packages/tables/tests/test_nestedtypes.py is in python-tables 3.4.2-4.
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########################################################################
#
# License: BSD
# Created: 2005-05-18
# Author: Francesc Alted - faltet@pytables.org
# Author: Ivan Vilata - ivan@selidor.net
#
# $Id$
#
########################################################################
"""Test module for nested types under PyTables."""
from __future__ import print_function
from __future__ import absolute_import
import sys
import itertools
import numpy
import tables as t
from tables.utils import SizeType
from tables.tests import common
from tables.tests.common import unittest, test_filename
from tables.tests.common import PyTablesTestCase as TestCase
from tables.description import Description
import six
from six.moves import range
minRowIndex = 10
# This is the structure of the table used for testing (DON'T PANIC!):
#
# +-+---------------------------------+-----+----------+-+-+
# |x|Info |color|info |y|z|
# | +-----+--+----------------+----+--+ +----+-----+ | |
# | |value|y2|Info2 |name|z2| |Name|Value| | |
# | | | +----+-----+--+--+ | | | | | | |
# | | | |name|value|y3|z3| | | | | | | |
# +-+-----+--+----+-----+--+--+----+--+-----+----+-----+-+-+
#
# Please note that some fields are explicitly ordered while others are
# ordered alphabetically by name.
# The declaration of the nested table:
class Info(t.IsDescription):
_v_pos = 3
Name = t.StringCol(itemsize=2)
Value = t.ComplexCol(itemsize=16)
class TestTDescr(t.IsDescription):
"""A description that has several nested columns."""
x = t.Int32Col(dflt=0, shape=2, pos=0) # 0
y = t.Float64Col(dflt=1, shape=(2, 2))
z = t.UInt8Col(dflt=1)
color = t.StringCol(itemsize=2, dflt=b" ", pos=2)
info = Info()
class Info(t.IsDescription): # 1
_v_pos = 1
name = t.StringCol(itemsize=2)
value = t.ComplexCol(itemsize=16, pos=0) # 0
y2 = t.Float64Col(dflt=1, pos=1) # 1
z2 = t.UInt8Col(dflt=1)
class Info2(t.IsDescription):
y3 = t.Time64Col(dflt=1, shape=2)
z3 = t.EnumCol({'r': 4, 'g': 2, 'b': 1}, 'r', 'int32', shape=2)
name = t.StringCol(itemsize=2)
value = t.ComplexCol(itemsize=16, shape=2)
# The corresponding nested array description:
testADescr = [
('x', '(2,)Int32'),
('Info', [
('value', 'Complex64'),
('y2', 'Float64'),
('Info2', [
('name', 'a2'),
('value', '(2,)Complex64'),
('y3', '(2,)Float64'),
('z3', '(2,)Int32')]),
('name', 'a2'),
('z2', 'UInt8')]),
('color', 'a2'),
('info', [
('Name', 'a2'),
('Value', 'Complex64')]),
('y', '(2,2)Float64'),
('z', 'UInt8')]
# The corresponding nested array description (brief version):
testADescr2 = [
('x', '(2,)i4'),
('Info', [
('value', '()c16'),
('y2', '()f8'),
('Info2', [
('name', '()S2'),
('value', '(2,)c16'),
('y3', '(2,)f8'),
('z3', '(2,)i4')]),
('name', '()S2'),
('z2', '()u1')]),
('color', '()S2'),
('info', [
('Name', '()S2'),
('Value', '()c16')]),
('y', '(2, 2)f8'),
('z', '()u1')]
# A nested array for testing:
testABuffer = [
# x Info color info y z
# value y2 Info2 name z2 Name Value
# name value y3 z3
((3, 2), (6j, 6., ('nn', (6j, 4j), (6., 4.), (1, 2)),
'NN', 8), 'cc', ('NN', 6j), ((6., 4.), (6., 4.)), 8),
((4, 3), (7j, 7., ('oo', (7j, 5j), (7., 5.), (2, 1)),
'OO', 9), 'dd', ('OO', 7j), ((7., 5.), (7., 5.)), 9),
]
testAData = numpy.array(testABuffer, dtype=testADescr)
# The name of the column to be searched:
testCondCol = 'Info/z2'
# The name of a nested column (it can not be searched):
testNestedCol = 'Info'
# The condition to be applied on the column (all but the last row match it):
testCondition = '(2 < col) & (col < 9)'
def areDescriptionsEqual(desc1, desc2):
"""Are both `desc1` and `desc2` equivalent descriptions?
The arguments may be description objects (``IsDescription``,
``Description``) or dictionaries.
"""
if isinstance(desc1, t.Col):
# This is a rough comparison but it suffices here.
return (desc1.type == desc2.type
and desc2.dtype == desc2.dtype
and desc1._v_pos == desc2._v_pos
# and desc1.dflt == desc2.dflt)
and common.areArraysEqual(desc1.dflt, desc2.dflt))
if hasattr(desc1, '_v_colobjects'): # quacks like a Description
cols1 = desc1._v_colobjects
elif hasattr(desc1, 'columns'): # quacks like an IsDescription
cols1 = desc1.columns
else: # hope it quacks like a dictionary
cols1 = desc1
if hasattr(desc2, '_v_colobjects'): # quacks like a Description
cols2 = desc2._v_colobjects
elif hasattr(desc2, 'columns'): # quacks like an IsDescription
cols2 = desc2.columns
else: # hope it quacks like a dictionary
cols2 = desc2
if len(cols1) != len(cols2):
return False
for (colName, colobj1) in six.iteritems(cols1):
colobj2 = cols2[colName]
if colName == '_v_pos':
# The comparison may not be quite exhaustive!
return colobj1 == colobj2
if not areDescriptionsEqual(colobj1, colobj2):
return False
return True
# Test creating nested column descriptions
class DescriptionTestCase(TestCase):
_TestTDescr = TestTDescr
_testADescr = testADescr
_testADescr2 = testADescr2
_testAData = testAData
def test00_instance(self):
"""Creating an instance of a nested description."""
self.assertTrue(
areDescriptionsEqual(self._TestTDescr, self._TestTDescr()),
"Table description does not match the given one.")
def test01_instance(self):
"""Checking attrs of an instance of a nested description."""
descr = Description(self._TestTDescr().columns)
if common.verbose:
print("Generated description:", descr._v_nested_descr)
print("Should look like:", self._testADescr2)
self.assertEqual(self._testADescr2, descr._v_nested_descr,
"Description._v_nested_descr does not match.")
# Test creating a nested table and opening it
class CreateTestCase(common.TempFileMixin, TestCase):
_TestTDescr = TestTDescr
_testABuffer = testABuffer
_testAData = testAData
def _checkColumns(self, cols, desc):
"""Check that `cols` has all the accessors for `self._TestTDescr`."""
# ``_desc`` is a leaf column and ``cols`` a ``Column``.
if isinstance(desc, t.Col):
return isinstance(cols, t.Column)
# ``_desc`` is a description object and ``cols`` a ``Cols``.
descColumns = desc._v_colobjects
for colName in descColumns:
if colName not in cols._v_colnames:
return False
if not self._checkColumns(cols._f_col(colName),
descColumns[colName]):
return False
return True
def _checkDescription(self, table):
"""Check that description of `table` matches `self._TestTDescr`."""
# Compare descriptions.
self.assertTrue(
areDescriptionsEqual(self._TestTDescr, table.description),
"Table description does not match the given one.")
# Check access to columns.
self._checkColumns(table.cols, table.description)
def _checkColinstances(self, table):
"""Check that ``colinstances`` and ``cols`` of `table` match."""
for colpathname in table.description._v_pathnames:
self.assertTrue(table.colinstances[colpathname]
is table.cols._f_col(colpathname))
def test00_create(self):
"""Creating a nested table."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
self._checkDescription(tbl)
self._checkColinstances(tbl)
def test01_open(self):
"""Opening a nested table."""
self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
self._reopen()
tbl = self.h5file.root.test
self._checkDescription(tbl)
self._checkColinstances(tbl)
def test02_NestedRecArrayCompat(self):
"""Creating a compatible nested record array``."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
self.assertTrue(common.areArraysEqual(nrarr, self._testAData),
"Can not create a compatible structured array.")
def test03_NRA(self):
"""Creating a table from a nested record array object."""
tbl = self.h5file.create_table(
'/', 'test', self._testAData, title=self._getMethodName())
tbl.flush()
readAData = tbl.read()
if common.verbose:
print("Read data:", readAData)
print("Should look like:", self._testAData)
self.assertTrue(common.areArraysEqual(self._testAData, readAData),
"Written and read values differ.")
def test04_NRA2(self):
"""Creating a table from a generated nested record array object."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
readAData = tbl.read()
tbl2 = self.h5file.create_table(
'/', 'test2', readAData, title=self._getMethodName())
readAData2 = tbl2.read()
self.assertTrue(common.areArraysEqual(self._testAData, readAData2),
"Written and read values differ.")
# Test writing data in a nested table
class WriteTestCase(common.TempFileMixin, TestCase):
_TestTDescr = TestTDescr
_testAData = testAData
_testCondition = testCondition
_testCondCol = testCondCol
_testNestedCol = testNestedCol
def _testCondVars(self, table):
"""Get condition variables for the given `table`."""
return {'col': table.cols._f_col(self._testCondCol)}
def _testNestedCondVars(self, table):
"""Get condition variables for the given `table`."""
return {'col': table.cols._f_col(self._testNestedCol)}
def _appendRow(self, row, index):
"""
Append the `index`-th row in `self._testAData` to `row`.
Values are set field-by-field (be it nested or not).
"""
record = self._testAData[index]
for fieldName in self._testAData.dtype.names:
row[fieldName] = record[fieldName]
row.append()
def test00_append(self):
"""Appending a set of rows."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
readAData = tbl.read()
self.assertTrue(common.areArraysEqual(self._testAData, readAData),
"Written and read values differ.")
def test01_row(self):
"""Appending individual rows."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
row = tbl.row
# Add the first row
self._appendRow(row, 0)
# Add the rest of the rows field by field.
for i in range(1, len(self._testAData)):
self._appendRow(row, i)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
readAData = tbl.read()
self.assertTrue(common.areArraysEqual(self._testAData, readAData),
"Written and read values differ.")
def test02_where(self):
"""Searching nested data."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
searchedCoords = tbl.get_where_list(
self._testCondition, self._testCondVars(tbl))
# All but the last row match the condition.
searchedCoords.sort()
self.assertEqual(searchedCoords.tolist(),
list(range(len(self._testAData) - 1)),
"Search returned incorrect results.")
def test02b_whereAppend(self):
"""Searching nested data and appending it to another table."""
tbl1 = self.h5file.create_table(
'/', 'test1', self._TestTDescr, title=self._getMethodName())
tbl1.append(self._testAData)
tbl1.flush()
tbl2 = self.h5file.create_table(
'/', 'test2', self._TestTDescr, title=self._getMethodName())
tbl1.append_where(
tbl2, self._testCondition, self._testCondVars(tbl1))
if self.reopen:
self._reopen()
tbl1 = self.h5file.root.test1
tbl2 = self.h5file.root.test2
searchedCoords = tbl2.get_where_list(
self._testCondition, self._testCondVars(tbl2))
# All but the last row match the condition.
searchedCoords.sort()
self.assertEqual(searchedCoords.tolist(),
list(range(len(self._testAData) - 1)),
"Search returned incorrect results.")
def test03_colscond(self):
"""Searching on a column with nested columns."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
self.assertRaises(
TypeError, tbl.get_where_list,
self._testCondition, self._testNestedCondVars(tbl))
def test04_modifyColumn(self):
"""Modifying one single nested column (modify_column)."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
nColumn = self._testNestedCol
# Get the nested column data and swap the first and last rows.
raTable = self._testAData.copy()
raColumn = raTable[nColumn]
# The next will not work until NestedRecords supports copies
(raColumn[0], raColumn[-1]) = (raColumn[-1], raColumn[0])
# Write the resulting column and re-read the whole table.
tbl.modify_column(colname=nColumn, column=raColumn)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
raReadTable = tbl.read()
if common.verbose:
print("Table read:", raReadTable)
print("Should look like:", raTable)
# Compare it to the written one.
self.assertTrue(common.areArraysEqual(raTable, raReadTable),
"Written and read values differ.")
def test05a_modifyColumns(self):
"""Modifying one nested column (modify_columns)."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
nColumn = self._testNestedCol
# Get the nested column data and swap the first and last rows.
raTable = self._testAData.copy()
raColumn = raTable[nColumn]
(raColumn[0], raColumn[-1]) = (raColumn[-1].copy(), raColumn[0].copy())
newdtype = numpy.dtype([(nColumn, raTable.dtype.fields[nColumn][0])])
self.assertTrue(newdtype is not None)
# Write the resulting column and re-read the whole table.
tbl.modify_columns(names=[nColumn], columns=raColumn)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
raReadTable = tbl.read()
if common.verbose:
print("Table read:", raReadTable)
print("Should look like:", raTable)
# Compare it to the written one.
self.assertTrue(common.areArraysEqual(raTable, raReadTable),
"Written and read values differ.")
def test05b_modifyColumns(self):
"""Modifying two nested columns (modify_columns)."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
# Get the nested column data and swap the first and last rows.
colnames = ['x', 'color'] # Get the first two columns
raCols = numpy.rec.fromarrays([
self._testAData['x'].copy(),
self._testAData['color'].copy()],
dtype=[('x', '(2,)i4'), ('color', '1a2')])
# descr=tbl.description._v_nested_descr[0:2])
# or...
# names=tbl.description._v_nested_names[0:2],
# formats=tbl.description._v_nested_formats[0:2])
(raCols[0], raCols[-1]) = (raCols[-1].copy(), raCols[0].copy())
# Write the resulting columns
tbl.modify_columns(names=colnames, columns=raCols)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
# Re-read the appropriate columns
raCols2 = numpy.rec.fromarrays([tbl.cols._f_col('x'),
tbl.cols._f_col('color')],
dtype=raCols.dtype)
if common.verbose:
print("Table read:", raCols2)
print("Should look like:", raCols)
# Compare it to the written one.
self.assertTrue(common.areArraysEqual(raCols, raCols2),
"Written and read values differ.")
def test06_modifyRows(self):
"""Checking modifying several rows at once (using nested rec array)"""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
# Get the nested record and swap the first and last rows.
raTable = self._testAData.copy()
(raTable[0], raTable[-1]) = (raTable[-1].copy(), raTable[0].copy())
# Write the resulting nested record and re-read the whole table.
tbl.modify_rows(start=0, stop=2, rows=raTable)
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
raReadTable = tbl.read()
if common.verbose:
print("Table read:", raReadTable)
print("Should look like:", raTable)
# Compare it to the written one.
self.assertTrue(common.areArraysEqual(raTable, raReadTable),
"Written and read values differ.")
def test07_index(self):
"""Checking indexes of nested columns."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName(),
expectedrows=minRowIndex * 2)
for i in range(minRowIndex):
tbl.append(self._testAData)
tbl.flush()
coltoindex = tbl.cols._f_col(self._testCondCol)
indexrows = coltoindex.create_index()
self.assertTrue(indexrows is not None)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
coltoindex = tbl.cols._f_col(self._testCondCol)
if common.verbose:
print("Number of written rows:", tbl.nrows)
print("Number of indexed rows:", coltoindex.index.nelements)
# Check indexing flags:
self.assertEqual(tbl.indexed, True, "Table not indexed")
self.assertNotEqual(coltoindex.index, None, "Column not indexed")
self.assertTrue(tbl.colindexed[
self._testCondCol], "Column not indexed")
# Do a look-up for values
searchedCoords = tbl.get_where_list(
self._testCondition, self._testCondVars(tbl))
searchedCoords.sort()
expectedCoords = numpy.arange(0, minRowIndex * 2, 2, SizeType)
if common.verbose:
print("Searched coords:", searchedCoords)
print("Expected coords:", expectedCoords)
# All even rows match the condition.
self.assertEqual(searchedCoords.tolist(), expectedCoords.tolist(),
"Search returned incorrect results.")
def test08_setNestedField(self):
"""Checking modifying a nested field via natural naming."""
# See ticket #93 (http://www.pytables.org/trac/ticket/93).
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
tbl.flush()
oldvalue = tbl.cols.Info.z2[0]
tbl.cols.Info.z2[0] = oldvalue + 1
tbl.flush()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
newvalue = tbl.cols.Info.z2[0]
self.assertEqual(newvalue, oldvalue + 1)
class WriteNoReopen(WriteTestCase):
reopen = 0
class WriteReopen(WriteTestCase):
reopen = 1
class ReadTestCase(common.TempFileMixin, TestCase):
_TestTDescr = TestTDescr
_testABuffer = testABuffer
_testAData = testAData
_testNestedCol = testNestedCol
def test00a_repr(self):
"""Checking representation of a nested Table."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title="test00")
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
if common.verbose:
print("str(tbl)-->", str(tbl))
print("repr(tbl)-->", repr(tbl))
self.assertEqual(str(tbl), "/test (Table(2,)) 'test00'")
tblrepr = repr(tbl)
# Remove the platform-dependent information (i.e. byteorder)
tblrepr = "\n".join(tblrepr.split("\n")[:-2]) + "\n"
if sys.version_info[0] < 3:
template = """/test (Table(2,)) 'test00'
description := {
"x": Int32Col(shape=(2,), dflt=0, pos=0),
"Info": {
"value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=0),
"y2": Float64Col(shape=(), dflt=1.0, pos=1),
"Info2": {
"name": StringCol(itemsize=2, shape=(), dflt='', pos=0),
"value": ComplexCol(itemsize=16, shape=(2,), dflt=0j, pos=1),
"y3": Time64Col(shape=(2,), dflt=1.0, pos=2),
"z3": EnumCol(enum=Enum({%(value)s}), dflt='r', base=Int32Atom(shape=(), dflt=0), shape=(2,), pos=3)},
"name": StringCol(itemsize=2, shape=(), dflt='', pos=3),
"z2": UInt8Col(shape=(), dflt=1, pos=4)},
"color": StringCol(itemsize=2, shape=(), dflt=' ', pos=2),
"info": {
"Name": StringCol(itemsize=2, shape=(), dflt='', pos=0),
"Value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=1)},
"y": Float64Col(shape=(2, 2), dflt=1.0, pos=4),
"z": UInt8Col(shape=(), dflt=1, pos=5)}
"""
else:
template = """/test (Table(2,)) 'test00'
description := {
"x": Int32Col(shape=(2,), dflt=0, pos=0),
"Info": {
"value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=0),
"y2": Float64Col(shape=(), dflt=1.0, pos=1),
"Info2": {
"name": StringCol(itemsize=2, shape=(), dflt=b'', pos=0),
"value": ComplexCol(itemsize=16, shape=(2,), dflt=0j, pos=1),
"y3": Time64Col(shape=(2,), dflt=1.0, pos=2),
"z3": EnumCol(enum=Enum({%(value)s}), dflt='%(default)s', base=Int32Atom(shape=(), dflt=0), shape=(2,), pos=3)},
"name": StringCol(itemsize=2, shape=(), dflt=b'', pos=3),
"z2": UInt8Col(shape=(), dflt=1, pos=4)},
"color": StringCol(itemsize=2, shape=(), dflt=b' ', pos=2),
"info": {
"Name": StringCol(itemsize=2, shape=(), dflt=b'', pos=0),
"Value": ComplexCol(itemsize=16, shape=(), dflt=0j, pos=1)},
"y": Float64Col(shape=(2, 2), dflt=1.0, pos=4),
"z": UInt8Col(shape=(), dflt=1, pos=5)}
"""
# The problem here is that the order in which items are stored in a
# dict can't be assumed to be stable.
# From python 3.3 on it is actually no more stable since the
# "Hash randomization" feature is enable by default.
#
# For this reason we generate a representation string for each of the
# prmutations of the Enum items.
#
# Also the default value of enum types is not preserved in HDF5.
# It is assumed that the default value is the first one in the array
# of Enum names and hence it is also affected by the issue related to
# the "Hash randomization" feature.
#
# Also in this case it is genereted a representation string for each
# of the possible default values.
enums = [
', '.join(items) for items in itertools.permutations(
("'r': 4", "'b': 1", "'g': 2"))
]
defaults = ('r', 'b', 'g')
values = [
template % {'value': v, 'default': d}
for v, d in itertools.product(enums, defaults)
]
self.assertTrue(tblrepr in values)
def test00b_repr(self):
"""Checking representation of a root Column."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title="test00")
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
if common.verbose:
print("str(tbl.cols.y)-->'%s'" % str(tbl.cols.y))
print("repr(tbl.cols.y)-->'%s'" % repr(tbl.cols.y))
self.assertEqual(str(tbl.cols.y),
"/test.cols.y (Column(2, 2, 2), float64, idx=None)")
self.assertEqual(repr(tbl.cols.y),
"/test.cols.y (Column(2, 2, 2), float64, idx=None)")
def test00c_repr(self):
"""Checking representation of a nested Column."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title="test00")
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
if common.verbose:
print("str(tbl.cols.Info.z2)-->'%s'" % str(tbl.cols.Info.z2))
print("repr(tbl.cols.Info.z2)-->'%s'" % repr(tbl.cols.Info.z2))
self.assertEqual(str(tbl.cols.Info.z2),
"/test.cols.Info.z2 (Column(2,), uint8, idx=None)")
self.assertEqual(repr(tbl.cols.Info.z2),
"/test.cols.Info.z2 (Column(2,), uint8, idx=None)")
def test01_read(self):
"""Checking Table.read with subgroups with a range index with step."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.rec.array(testABuffer,
dtype=tbl.description._v_nested_descr)
tblcols = tbl.read(start=0, step=2, field='Info')
nrarrcols = nrarr['Info'][0::2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test01_read_out_arg(self):
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.rec.array(testABuffer,
dtype=tbl.description._v_nested_descr)
# When reading an entire nested column, the output array must contain
# all fields in the table. The output buffer will contain the contents
# of all fields. The selected column alone will be returned from the
# method call.
all_cols = numpy.empty(1, tbl.dtype)
tblcols = tbl.read(start=0, step=2, field='Info', out=all_cols)
nrarrcols = nrarr['Info'][0::2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
self.assertTrue(common.areArraysEqual(nrarr[0::2], all_cols),
"Output buffer does not match full table.")
def test02_read(self):
"""Checking Table.read with a nested Column."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
tblcols = tbl.read(start=0, step=2, field='Info/value')
nrarr = numpy.rec.array(testABuffer,
dtype=tbl.description._v_nested_descr)
nrarrcols = nrarr['Info']['value'][0::2]
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test02_read_out_arg(self):
"""Checking Table.read with a nested Column."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
tblcols = numpy.empty(1, dtype='c16')
tbl.read(start=0, step=2, field='Info/value', out=tblcols)
nrarr = numpy.rec.array(testABuffer,
dtype=tbl.description._v_nested_descr)
nrarrcols = nrarr['Info']['value'][0::2]
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
class ReadNoReopen(ReadTestCase):
reopen = 0
class ReadReopen(ReadTestCase):
reopen = 1
# Checking the Table.Cols accessor
class ColsTestCase(common.TempFileMixin, TestCase):
_TestTDescr = TestTDescr
_testABuffer = testABuffer
_testAData = testAData
_testNestedCol = testNestedCol
def test00a_repr(self):
"""Checking string representation of Cols."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title="test00")
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
if common.verbose:
print("str(tbl.cols)-->", str(tbl.cols))
print("repr(tbl.cols)-->", repr(tbl.cols))
self.assertEqual(str(tbl.cols), "/test.cols (Cols), 6 columns")
try:
self.assertEqual(repr(tbl.cols),
"""/test.cols (Cols), 6 columns
x (Column(0, 2), ('int32',(2,)))
Info (Cols(), Description)
color (Column(0,), |S2)
info (Cols(), Description)
y (Column(0, 2, 2), ('float64',(2, 2)))
z (Column(0,), uint8)
"""
)
except AssertionError:
self.assertEqual(repr(tbl.cols),
"""/test.cols (Cols), 6 columns
x (Column(0, 2), ('%s', (2,)))
Info (Cols(), Description)
color (Column(0,), |S2)
info (Cols(), Description)
y (Column(0, 2, 2), ('%s', (2, 2)))
z (Column(0,), uint8)
""" % (numpy.int32(0).dtype.str, numpy.float64(0).dtype.str))
def test00b_repr(self):
"""Checking string representation of nested Cols."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
if common.verbose:
print("str(tbl.cols.Info)-->", str(tbl.cols.Info))
print("repr(tbl.cols.Info)-->", repr(tbl.cols.Info))
self.assertEqual(str(
tbl.cols.Info), "/test.cols.Info (Cols), 5 columns")
self.assertEqual(repr(tbl.cols.Info),
"""/test.cols.Info (Cols), 5 columns
value (Column(0,), complex128)
y2 (Column(0,), float64)
Info2 (Cols(), Description)
name (Column(0,), |S2)
z2 (Column(0,), uint8)
""")
def test01a_f_col(self):
"""Checking cols._f_col() with a subgroup."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
tblcol = tbl.cols._f_col(self._testNestedCol)
if common.verbose:
print("Column group name:", tblcol._v_desc._v_pathname)
self.assertEqual(tblcol._v_desc._v_pathname, self._testNestedCol,
"Column group name doesn't match.")
def test01b_f_col(self):
"""Checking cols._f_col() with a column."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
tblcol = tbl.cols._f_col(self._testNestedCol + "/name")
if common.verbose:
print("Column name:", tblcol.name)
self.assertEqual(tblcol.name, "name", "Column name doesn't match.")
def test01c_f_col(self):
"""Checking cols._f_col() with a nested subgroup."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tblcol = tbl.cols._f_col(self._testNestedCol + "/Info2")
if common.verbose:
print("Column group name:", tblcol._v_desc._v_pathname)
self.assertEqual(tblcol._v_desc._v_pathname,
self._testNestedCol + "/Info2",
"Column group name doesn't match.")
def test02a__len__(self):
"""Checking cols.__len__() in root level."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
length = len(tbl.cols)
if common.verbose:
print("Column group length:", length)
self.assertEqual(length, len(tbl.colnames),
"Column group length doesn't match.")
def test02b__len__(self):
"""Checking cols.__len__() in subgroup level."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
length = len(tbl.cols.Info)
if common.verbose:
print("Column group length:", length)
self.assertEqual(length, len(tbl.cols.Info._v_colnames),
"Column group length doesn't match.")
def test03a__getitem__(self):
"""Checking cols.__getitem__() with a single index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols[1]
nrarrcols = nrarr[1]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test03b__getitem__(self):
"""Checking cols.__getitem__() with a range index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols[0:2]
nrarrcols = nrarr[0:2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test03c__getitem__(self):
"""Checking cols.__getitem__() with a range index with step."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols[0::2]
nrarrcols = nrarr[0::2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test04a__getitem__(self):
"""Checking cols.__getitem__() with subgroups with a single index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info')[1]
nrarrcols = nrarr['Info'][1]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test04b__getitem__(self):
"""Checking cols.__getitem__() with subgroups with a range index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info')[0:2]
nrarrcols = nrarr['Info'][0:2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test04c__getitem__(self):
"""Checking cols.__getitem__() with subgroups with a range index with
step."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info')[0::2]
nrarrcols = nrarr['Info'][0::2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test05a__getitem__(self):
"""Checking cols.__getitem__() with a column with a single index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info/value')[1]
nrarrcols = nrarr['Info']['value'][1]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertEqual(nrarrcols, tblcols,
"Original array are retrieved doesn't match.")
def test05b__getitem__(self):
"""Checking cols.__getitem__() with a column with a range index."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info/value')[0:2]
nrarrcols = nrarr['Info']['value'][0:2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test05c__getitem__(self):
"""Checking cols.__getitem__() with a column with a range index with
step."""
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
tblcols = tbl.cols._f_col('Info/value')[0::2]
nrarrcols = nrarr['Info']['value'][0::2]
if common.verbose:
print("Read cols:", tblcols)
print("Should look like:", nrarrcols)
self.assertTrue(common.areArraysEqual(nrarrcols, tblcols),
"Original array are retrieved doesn't match.")
def test_01a__iter__(self):
tbl = self.h5file.create_table(
'/', 'test', self._TestTDescr, title=self._getMethodName())
tbl.append(self._testAData)
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
nrarr = numpy.array(testABuffer, dtype=tbl.description._v_nested_descr)
row_num = 0
for item in tbl.cols.Info.value:
self.assertEqual(item, nrarr['Info']['value'][row_num])
row_num += 1
self.assertEqual(row_num, len(nrarr))
class ColsNoReopen(ColsTestCase):
reopen = 0
class ColsReopen(ColsTestCase):
reopen = 1
class Nested(t.IsDescription):
uid = t.IntCol(pos=1)
value = t.FloatCol(pos=2)
class A_Candidate(t.IsDescription):
nested1 = Nested()
nested2 = Nested()
class B_Candidate(t.IsDescription):
nested1 = Nested
nested2 = Nested
class C_Candidate(t.IsDescription):
nested1 = Nested()
nested2 = Nested
Dnested = {
'uid': t.IntCol(pos=1),
'value': t.FloatCol(pos=2),
}
D_Candidate = {
"nested1": Dnested,
"nested2": Dnested,
}
E_Candidate = {
"nested1": Nested,
"nested2": Dnested,
}
F_Candidate = {
"nested1": Nested(),
"nested2": Dnested,
}
# Checking several nested columns declared in the same way
class SameNestedTestCase(common.TempFileMixin, TestCase):
correct_names = [
'', # The root of columns
'nested1', 'nested1/uid', 'nested1/value',
'nested2', 'nested2/uid', 'nested2/value',
]
def test01a(self):
"""Checking same nested columns (instance flavor)."""
tbl = self.h5file.create_table(
'/', 'test', A_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test01b(self):
"""Checking same nested columns (class flavor)."""
tbl = self.h5file.create_table(
'/', 'test', B_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test01c(self):
"""Checking same nested columns (mixed instance/class flavor)."""
tbl = self.h5file.create_table(
'/', 'test', C_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test01d(self):
"""Checking same nested columns (dictionary flavor)."""
tbl = self.h5file.create_table(
'/', 'test', D_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test01e(self):
"""Checking same nested columns (mixed dictionary/class flavor)."""
tbl = self.h5file.create_table(
'/', 'test', E_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test01f(self):
"""Checking same nested columns (mixed dictionary/instance flavor)."""
tbl = self.h5file.create_table(
'/', 'test', F_Candidate, title=self._getMethodName())
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
names = [col._v_pathname for col in tbl.description._f_walk(
type="All")]
if common.verbose:
print("Pathnames of columns:", names)
print("Should look like:", self.correct_names)
self.assertEqual(names, self.correct_names,
"Column nested names doesn't match.")
def test02a(self):
"""Indexing two simple columns under the same nested column."""
desc = {
'nested': {
'i1': t.Int32Col(),
'i2': t.Int32Col()
}
}
i1 = 'nested/i1'
i2 = 'nested/i2'
tbl = self.h5file.create_table(
'/', 'test', desc, title=self._getMethodName())
row = tbl.row
for i in range(1000):
row[i1] = i
row[i2] = i * 2
row.append()
tbl.flush()
cols = {
'i1': tbl.cols.nested.i1,
'i2': tbl.cols.nested.i2,
}
cols['i1'].create_index()
cols['i2'].create_index()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
# Redefine the cols dictionary
cols = {'i1': tbl.cols.nested.i1,
'i2': tbl.cols.nested.i2, }
i1res = [r[i1] for r in tbl.where('i1 < 10', cols)]
i2res = [r[i2] for r in tbl.where('i2 < 10', cols)]
if common.verbose:
print("Retrieved values (i1):", i1res)
print("Should look like:", list(range(10)))
print("Retrieved values (i2):", i2res)
print("Should look like:", list(range(0, 10, 2)))
self.assertEqual(i1res, list(range(10)),
"Select for nested column (i1) doesn't match.")
self.assertEqual(i2res, list(range(0, 10, 2)),
"Select for nested column (i2) doesn't match.")
def test02b(self):
"""Indexing two simple columns under the same (very) nested column."""
desc = {
'nested1': {
'nested2': {
'nested3': {
'i1': t.Int32Col(),
'i2': t.Int32Col()
}
}
}
}
i1 = 'nested1/nested2/nested3/i1'
i2 = 'nested1/nested2/nested3/i2'
tbl = self.h5file.create_table(
'/', 'test', desc, title=self._getMethodName())
row = tbl.row
for i in range(1000):
row[i1] = i
row[i2] = i * 2
row.append()
tbl.flush()
cols = {'i1': tbl.cols.nested1.nested2.nested3.i1,
'i2': tbl.cols.nested1.nested2.nested3.i2, }
cols['i1'].create_index()
cols['i2'].create_index()
if self.reopen:
self._reopen()
tbl = self.h5file.root.test
# Redefine the cols dictionary
cols = {'i1': tbl.cols.nested1.nested2.nested3.i1,
'i2': tbl.cols.nested1.nested2.nested3.i2, }
i1res = [r[i1] for r in tbl.where('i1 < 10', cols)]
i2res = [r[i2] for r in tbl.where('i2 < 10', cols)]
if common.verbose:
print("Retrieved values (i1):", i1res)
print("Should look like:", list(range(10)))
print("Retrieved values (i2):", i2res)
print("Should look like:", list(range(0, 10, 2)))
self.assertEqual(i1res, list(range(10)),
"Select for nested column (i1) doesn't match.")
self.assertEqual(i2res, list(range(0, 10, 2)),
"Select for nested column (i2) doesn't match.")
class SameNestedNoReopen(SameNestedTestCase):
reopen = 0
class SameNestedReopen(SameNestedTestCase):
reopen = 1
class NestedTypesWithGaps(common.TestFileMixin, TestCase):
h5fname = test_filename('nested-type-with-gaps.h5')
correct_descr = """{
"float": Float32Col(shape=(), dflt=0.0, pos=0),
"compound": {
"char": Int8Col(shape=(), dflt=0, pos=0),
"double": Float64Col(shape=(), dflt=0.0, pos=1)}}"""
def test01(self):
"""Opening a table with nested types with gaps."""
tbl = self.h5file.get_node('/nestedtype')
type_descr = repr(tbl.description)
if common.verbose:
print("Type size with no gaps:", tbl.description._v_itemsize)
print("And should be: 13")
print("Representation of the nested type:\n", type_descr)
print("And should be:\n", self.correct_descr)
self.assertEqual(tbl.description._v_itemsize, 13)
self.assertEqual(type_descr, self.correct_descr)
if common.verbose:
print("Great! Nested types with gaps recognized correctly.")
def suite():
"""Return a test suite consisting of all the test cases in the module."""
theSuite = unittest.TestSuite()
niter = 1
# common.heavy = 1 # uncomment this only for testing purposes
# theSuite.addTest(unittest.makeSuite(DescriptionTestCase))
# theSuite.addTest(unittest.makeSuite(WriteReopen))
for i in range(niter):
theSuite.addTest(unittest.makeSuite(DescriptionTestCase))
theSuite.addTest(unittest.makeSuite(CreateTestCase))
theSuite.addTest(unittest.makeSuite(WriteNoReopen))
theSuite.addTest(unittest.makeSuite(WriteReopen))
theSuite.addTest(unittest.makeSuite(ColsNoReopen))
theSuite.addTest(unittest.makeSuite(ColsReopen))
theSuite.addTest(unittest.makeSuite(ReadNoReopen))
theSuite.addTest(unittest.makeSuite(ReadReopen))
theSuite.addTest(unittest.makeSuite(SameNestedNoReopen))
theSuite.addTest(unittest.makeSuite(SameNestedReopen))
theSuite.addTest(unittest.makeSuite(NestedTypesWithGaps))
return theSuite
if __name__ == '__main__':
common.parse_argv(sys.argv)
common.print_versions()
unittest.main(defaultTest='suite')
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