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# pylint: disable-msg=W0611, W0612, W0511,R0201
"""Tests suite for mrecarray.
:author: Pierre Gerard-Marchant & Matt Knox
:contact: pierregm_at_uga_dot_edu & mattknox_ca_at_hotmail_dot_com
:version: $Id: test_multitimeseries.py 2987 2007-05-12 02:04:59Z pierregm $
"""
__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author: pierregm $)"
__version__ = '1.0'
__revision__ = "$Revision: 2987 $"
__date__ = '$Date: 2007-05-11 19:04:59 -0700 (Fri, 11 May 2007) $'
import types
import numpy as N
import numpy.core.fromnumeric as fromnumeric
from numpy.testing import NumpyTest, NumpyTestCase
from numpy.testing.utils import build_err_msg
import maskedarray.testutils
from maskedarray.testutils import assert_equal, assert_array_equal
import maskedarray.core as MA
import maskedarray.mrecords as MR
from maskedarray.mrecords import addfield
from maskedarray.core import getmaskarray, nomask, masked_array
from timeseries import tmulti
from timeseries.tmulti import MultiTimeSeries, TimeSeries,\
fromarrays, fromtextfile, fromrecords, \
date_array, time_series
#..............................................................................
class test_mrecords(NumpyTestCase):
"Base test class for MaskedArrays."
def __init__(self, *args, **kwds):
NumpyTestCase.__init__(self, *args, **kwds)
self.setup()
def setup(self):
"Generic setup"
d = N.arange(5)
m = MA.make_mask([1,0,0,1,1])
base_d = N.r_[d,d[::-1]].reshape(2,-1).T
base_m = N.r_[[m, m[::-1]]].T
base = MA.array(base_d, mask=base_m)
mrec = MR.fromarrays(base.T,)
dlist = ['2007-%02i' % (i+1) for i in d]
dates = date_array(dlist)
ts = time_series(mrec,dates)
mts = MultiTimeSeries(mrec,dates)
self.data = [d, m, mrec, dlist, dates, ts, mts]
def test_get(self):
"Tests fields retrieval"
[d, m, mrec, dlist, dates, ts, mts] = self.data
assert(isinstance(mts['f0'], TimeSeries))
assert_equal(mts['f0']._dates, dates)
assert_equal(mts['f0']._data, d)
assert_equal(mts['f0']._mask, m)
#
assert(isinstance(mts[0], MultiTimeSeries))
assert_equal(mts._data[0], mrec[0])
# We can't use assert_equal here, as it tries to convert the tuple into a singleton
assert(mts[0]._data.view(N.ndarray) == mrec[0])
assert_equal(mts._dates[0], dates[0])
assert_equal(mts[0]._dates, dates[0])
#
assert(isinstance(mts['2007-01'], MultiTimeSeries))
assert(mts['2007-01']._data == mrec[0])
assert_equal(mts['2007-01']._dates, dates[0])
#
assert(isinstance(mts.f0, TimeSeries))
assert_equal(mts.f0, time_series(d, dates=dates, mask=m))
assert_equal(mts.f1, time_series(d[::-1], dates=dates, mask=m[::-1]))
assert((mts._fieldmask == N.core.records.fromarrays([m, m[::-1]])).all())
assert_equal(mts._mask, N.r_[[m,m[::-1]]].all(0))
assert_equal(mts.f0[1], mts[1].f0)
#
assert(isinstance(mts[:2], MultiTimeSeries))
assert_equal(mts[:2]._data.f0, mrec[:2].f0)
assert_equal(mts[:2]._data.f1, mrec[:2].f1)
assert_equal(mts[:2]._dates, dates[:2])
def test_set(self):
"Tests setting fields/attributes."
[d, m, mrec, dlist, dates, ts, mts] = self.data
mts.f0._data[:] = 5
assert_equal(mts['f0']._data, [5,5,5,5,5])
mts.f0 = 1
assert_equal(mts['f0']._data, [1]*5)
assert_equal(getmaskarray(mts['f0']), [0]*5)
mts.f1 = MA.masked
assert_equal(mts.f1.mask, [1]*5)
assert_equal(getmaskarray(mts['f1']), [1]*5)
mts._mask = MA.masked
assert_equal(getmaskarray(mts['f1']), [1]*5)
assert_equal(mts['f0']._mask, mts['f1']._mask)
mts._mask = MA.nomask
assert_equal(getmaskarray(mts['f1']), [0]*5)
assert_equal(mts['f0']._mask, mts['f1']._mask)
def test_setslices(self):
"Tests setting slices."
[d, m, mrec, dlist, dates, ts, mts] = self.data
#
mts[:2] = 5
assert_equal(mts.f0._data, [5,5,2,3,4])
assert_equal(mts.f1._data, [5,5,2,1,0])
assert_equal(mts.f0._mask, [0,0,0,1,1])
assert_equal(mts.f1._mask, [0,0,0,0,1])
mts.harden_mask()
mts[-2:] = 5
assert_equal(mts.f0._data, [5,5,2,3,4])
assert_equal(mts.f1._data, [5,5,2,5,0])
assert_equal(mts.f0._mask, [0,0,0,1,1])
assert_equal(mts.f1._mask, [0,0,0,0,1])
def test_hardmask(self):
"Test hardmask"
[d, m, mrec, dlist, dates, ts, mts] = self.data
mts.harden_mask()
assert(mts._hardmask)
mts._mask = nomask
assert_equal(mts._mask, N.r_[[m,m[::-1]]].all(0))
mts.soften_mask()
assert(not mts._hardmask)
mts._mask = nomask
assert(mts['f1']._mask is nomask)
assert_equal(mts['f0']._mask,mts['f1']._mask)
def test_addfield(self):
"Tests addfield"
[d, m, mrec, dlist, dates, ts, mts] = self.data
mts = addfield(mts, masked_array(d+10, mask=m[::-1]))
assert_equal(mts.f2, d+10)
assert_equal(mts.f2._mask, m[::-1])
def test_fromrecords(self):
"Test from recarray."
[d, m, mrec, dlist, dates, ts, mts] = self.data
nrec = N.core.records.fromarrays(N.r_[[d,d[::-1]]])
mrecfr = fromrecords(nrec.tolist(), dates=dates)
assert_equal(mrecfr.f0, mrec.f0)
assert_equal(mrecfr.dtype, mrec.dtype)
#....................
altrec = [tuple([d,]+list(r)) for (d,r) in zip(dlist,nrec)]
mrecfr = fromrecords(altrec, names='dates,f0,f1')
assert_equal(mrecfr.f0, mrec.f0)
assert_equal(mrecfr.dtype, mrec.dtype)
#....................
tmp = MultiTimeSeries(mts._series[::-1], dates=mts.dates)
mrecfr = fromrecords(tmp)
assert_equal(mrecfr.f0, mrec.f0[::-1])
def test_fromtextfile(self):
"Tests reading from a text file."
fcontent = """#
'Dates', 'One (S)','Two (I)','Three (F)','Four (M)','Five (-)','Six (C)'
'2007-01', 'strings',1,1.0,'mixed column',,1
'2007-02', 'with embedded "double quotes"',2,2.0,1.0,,1
'2007-03', 'strings',3,3.0E5,3,,1
'2007-05','strings',4,-1e-10,,,1
"""
import os
from datetime import datetime
fname = 'tmp%s' % datetime.now().strftime("%y%m%d%H%M%S%s")
f = open(fname, 'w')
f.write(fcontent)
f.close()
mrectxt = fromtextfile(fname,delimitor=',',varnames='ABCDEFG',
dates_column=0)
os.unlink(fname)
#
dlist = ['2007-%02i' % i for i in (1,2,3,5)]
assert(isinstance(mrectxt, MultiTimeSeries))
assert_equal(mrectxt._dates, date_array(dlist,'M'))
assert_equal(mrectxt.dtype.names, ['B','C','D','E','F','G'])
assert_equal(mrectxt.G, [1,1,1,1])
assert_equal(mrectxt.F._mask, [1,1,1,1])
assert_equal(mrectxt.D, [1,2,3.e+5,-1e-10])
###############################################################################
#------------------------------------------------------------------------------
if __name__ == "__main__":
NumpyTest().run()
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