-> two extra overloads for getting (array name + array name, occurrence) -> extra member function count(std::string), count occurrences of arrays with a specific name.
194 lines
5.8 KiB
Python
Executable File
194 lines
5.8 KiB
Python
Executable File
import unittest
|
|
import sys
|
|
import numpy as np
|
|
|
|
from opm.io.ecl import EclFile, eclArrType
|
|
try:
|
|
from tests.utils import test_path
|
|
except ImportError:
|
|
from utils import test_path
|
|
|
|
|
|
|
|
def array_index(ecl_file, target_kw):
|
|
index_list = []
|
|
for index,kw in enumerate(ecl_file.arrays):
|
|
if kw[0] == target_kw:
|
|
index_list.append(index)
|
|
|
|
return index_list
|
|
|
|
|
|
class TestEclFile(unittest.TestCase):
|
|
|
|
|
|
def test_arrays(self):
|
|
|
|
refList=["INTEHEAD","LOGIHEAD","DOUBHEAD","PORV","DEPTH","DX","DY","DZ","PORO",
|
|
"PERMX","PERMY", "PERMZ","NTG","TRANX","TRANY","TRANZ","TABDIMS","TAB",
|
|
"ACTNUM","EQLNUM","FIPNUM","PVTNUM","SATNUM","TRANNNC"]
|
|
|
|
self.assertRaises(ValueError, EclFile, "/file/that/does_not_exists")
|
|
|
|
file2uf = EclFile(test_path("data/SPE9.INIT"), preload=False)
|
|
self.assertEqual(len(file2uf), 24)
|
|
|
|
arr_string_list = [ x[0] for x in file2uf.arrays ]
|
|
self.assertEqual(arr_string_list, refList)
|
|
|
|
file2f = EclFile(test_path("data/SPE9.FINIT"))
|
|
self.assertEqual(len(file2f), 24)
|
|
self.assertTrue(isinstance(file2uf.arrays, list))
|
|
self.assertEqual(len(file2uf.arrays), len(refList))
|
|
|
|
for str1, str2 in zip(file2uf.arrays, refList):
|
|
self.assertEqual(str1[0], str2)
|
|
|
|
self.assertEqual( file2uf.arrays[3] , ("PORV", eclArrType.REAL, 9000) )
|
|
self.assertEqual( file2uf.arrays[16] , ("TABDIMS", eclArrType.INTE,100) )
|
|
self.assertEqual( file2uf.arrays[17] , ("TAB", eclArrType.DOUB, 885) )
|
|
|
|
|
|
def test_get_function(self):
|
|
|
|
file1 = EclFile(test_path("data/SPE9.INIT"), preload=True)
|
|
|
|
first = file1[0]
|
|
self.assertEqual(len(first), 95)
|
|
|
|
#fourth array in file SPE9.INIT which is PORV
|
|
test1 = file1[3]
|
|
porv_index = array_index(file1, "PORV")[0]
|
|
test2 = file1[porv_index]
|
|
|
|
for val1, val2 in zip(test1, test2):
|
|
self.assertEqual(val1, val2)
|
|
|
|
def test_get_function_float(self):
|
|
|
|
file1 = EclFile(test_path("data/SPE9.INIT"))
|
|
|
|
dzList=[20.0, 15.0, 26.0, 15.0, 16.0, 14.0, 8.0, 8.0, 18.0, 12.0, 19.0, 18.0, 20.0, 50.0, 100.0]
|
|
poroList = [0.087, 0.097, 0.111, 0.16, 0.13, 0.17, 0.17, 0.08, 0.14, 0.13, 0.12, 0.105, 0.12, 0.116, 0.157]
|
|
ft3_to_bbl = 0.1781076
|
|
|
|
refporv = []
|
|
|
|
for poro, dz in zip(dzList, poroList):
|
|
for i in range(0,600):
|
|
refporv.append(300.0*300.0*dz*poro*ft3_to_bbl)
|
|
|
|
self.assertTrue("PORV" in file1)
|
|
porv_index = array_index(file1, "PORV")[0]
|
|
porv_np = file1[porv_index]
|
|
|
|
self.assertEqual(len(porv_np), 9000)
|
|
|
|
self.assertTrue(isinstance(porv_np, np.ndarray))
|
|
self.assertEqual(porv_np.dtype, "float32")
|
|
|
|
porv_list = file1[porv_index]
|
|
|
|
for val1, val2 in zip(porv_np, refporv):
|
|
self.assertLess(abs(1.0 - val1/val2), 1e-6)
|
|
|
|
|
|
def test_get_function_double(self):
|
|
|
|
refTabData=[0.147E+02, 0.2E+21, 0.4E+03, 0.2E+21, 0.8E+03, 0.2E+21, 0.12E+04, 0.2E+21, 0.16E+04, 0.2E+21, 0.2E+04, 0.2E+21, 0.24E+04, 0.2E+21, 0.28E+04, 0.2E+21, 0.32E+04, 0.2E+21, 0.36E+04, 0.2E+21, 0.4E+04, 0.5E+04, 0.1E+01, 0.2E+21, 0.98814229249012E+00, 0.2E+21, 0.97513408093613E+00]
|
|
|
|
file1 = EclFile(test_path("data/SPE9.INIT"))
|
|
tab_index = array_index(file1, "TAB")[0]
|
|
|
|
tab = file1[tab_index]
|
|
|
|
self.assertTrue(isinstance(tab, np.ndarray))
|
|
self.assertEqual(tab.dtype, "float64")
|
|
|
|
for i in range(0, len(refTabData)):
|
|
self.assertLess(abs(1.0 - refTabData[i]/tab[i]), 1e-12 )
|
|
|
|
|
|
def test_get_function_integer(self):
|
|
|
|
refTabdims = [ 885, 1, 1, 1, 1, 1, 1, 67, 11, 2, 1, 78, 1, 78, 78, 0, 0, 0, 83, 1, 686, 40, 1, 86, 40, 1,
|
|
286, 1, 80, 1 ]
|
|
|
|
file1 = EclFile(test_path("data/SPE9.INIT"))
|
|
tabdims_index = array_index(file1, "TABDIMS")[0]
|
|
tabdims = file1[tabdims_index]
|
|
|
|
self.assertTrue(isinstance(tabdims, np.ndarray))
|
|
self.assertEqual(tabdims.dtype, "int32")
|
|
|
|
for i in range(0, len(refTabdims)):
|
|
self.assertEqual(refTabdims[i], tabdims[i])
|
|
|
|
|
|
def test_get_function_logi(self):
|
|
|
|
file1 = EclFile(test_path("data/9_EDITNNC.INIT"))
|
|
|
|
self.assertTrue("LOGIHEAD" in file1)
|
|
logih_index = array_index(file1, "LOGIHEAD")[0]
|
|
logih = file1[logih_index]
|
|
|
|
self.assertEqual(len(logih), 121)
|
|
self.assertEqual(logih[0], True)
|
|
self.assertEqual(logih[2], False)
|
|
self.assertEqual(logih[8], False)
|
|
|
|
def test_get_function_char(self):
|
|
|
|
file1 = EclFile(test_path("data/9_EDITNNC.SMSPEC"))
|
|
|
|
self.assertTrue("KEYWORDS" in file1)
|
|
kw_index = array_index(file1, "KEYWORDS")[0]
|
|
keyw = file1[kw_index]
|
|
|
|
self.assertEqual(len(keyw), 312)
|
|
self.assertEqual(keyw[0], "TIME")
|
|
self.assertEqual(keyw[16], "FWCT")
|
|
|
|
|
|
def test_get_occurence(self):
|
|
|
|
file1 = EclFile(test_path("data/SPE9.UNRST"))
|
|
|
|
self.assertTrue("PRESSURE" in file1)
|
|
|
|
with self.assertRaises(RuntimeError):
|
|
test = file1["PRESSURE", int(10)]
|
|
|
|
#first occurence of pressure
|
|
pres = file1["PRESSURE"]
|
|
pres0 = file1["PRESSURE", 0]
|
|
|
|
self.assertEqual(len(pres), len(pres0))
|
|
|
|
for v1, v2 in zip(pres, pres0):
|
|
self.assertEqual(v1, v2)
|
|
|
|
#occurence number 2 of pressure
|
|
pres2 = file1["PRESSURE", 1]
|
|
|
|
self.assertTrue(isinstance(pres2, np.ndarray))
|
|
self.assertEqual(pres2.dtype, "float32")
|
|
|
|
self.assertEqual(len(pres2), 9000)
|
|
|
|
seqn0 = file1["SEQNUM", 0]
|
|
self.assertEqual(seqn0[0], 37)
|
|
|
|
seqn1 = file1["SEQNUM", 1]
|
|
self.assertEqual(seqn1[0], 74)
|
|
|
|
self.assertEqual(file1.count("PRESSURE"), 2)
|
|
self.assertEqual(file1.count("XXXX"), 0)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
unittest.main()
|
|
|