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mirror of https://github.com/TREX-CoE/trexio.git synced 2024-11-03 20:54:07 +01:00

Switch to pytest for unit testing

This commit is contained in:
q-posev 2022-06-01 17:42:30 +02:00
parent 129f5b6f83
commit 2876d73885
4 changed files with 315 additions and 378 deletions

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@ -238,8 +238,9 @@ numpy_i = $(srcdir)/src/numpy.i
python-test: $(TEST_PY)
python3 $(TEST_PY)
python3 -m pytest -v $(TEST_PY)
$(RM) -r -- __pycache__
$(RM) -f -- test_file_py.h5 unsafe_test_file_py.h5
python-install: $(pytrexio_py) $(setup_py) $(setup_cfg)
cd python && \

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@ -14,7 +14,6 @@ can be used to convert data from one input/output file format into another.
- python3 (>= 3.6)
- numpy (>= 1.17.3)
## Installation from PyPI
In short, you can run the following command:
@ -35,6 +34,7 @@ For more details, see the corresponding part of the [Python documentation](https
- HDF5 library (>= 1.8)
- pkgconfig (Python package)
- build (Python package)
- pytest (Python package)
## Installation from source
@ -44,10 +44,10 @@ For more details, see the corresponding part of the [Python documentation](https
4. `pip install -r requirements.txt` (this installs all required python dependencies)
5. Export custom environment variables needed for the installation following the procedure below and replacing `/path/to/hdf5/` with your paths.
The following two steps can be skipped if HDF5 is properly configured for `pkg-config` (i.e. if executing `pkg-config --libs hdf5` returns a list of options).
1. `export H5_CFLAGS=-I/path/to/hdf5/include`
2. `export H5_LDFLAGS=-L/path/to/hdf5/lib`
- `export H5_CFLAGS=-I/path/to/hdf5/include`
- `export H5_LDFLAGS=-L/path/to/hdf5/lib`
6. `pip install .` (this installs `trexio` in your environment)
7. `cd test && python test_api.py` (this executes several tests that verify the installation)
7. `cd test && python -m pytest -v test_api.py` (this executes several tests that verify the installation)
You are ready to go!

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@ -28,6 +28,7 @@ fi
# Install/upgrade packages required for the installation
python3 -m pip install --upgrade setuptools build pip
python3 -m pip install -r requirements.txt
python3 -m pip install pytest
# export NUMPY_INCLUDEDIR environment variable needed for the proper setup
#source tools/set_NUMPY_INCLUDEDIR.sh

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@ -1,385 +1,320 @@
#!/usr/bin/env python3
import os
import shutil
import numpy as np
import pytest
import trexio
#=========================================================#
#======== SETUP THE BACK END AND OUTPUT FILE NAME ========#
#=========================================================#
# 0: TREXIO_HDF5 ; 1: TREXIO_TEXT
TEST_TREXIO_BACKEND = 0
OUTPUT_FILENAME_TEXT = 'test_py_swig.dir'
OUTPUT_FILENAME_HDF5 = 'test_py_swig.h5'
from benzene_data import *
# define TREXIO file name
if TEST_TREXIO_BACKEND == trexio.TREXIO_HDF5:
output_filename = OUTPUT_FILENAME_HDF5
elif TEST_TREXIO_BACKEND == trexio.TREXIO_TEXT:
output_filename = OUTPUT_FILENAME_TEXT
else:
raise ValueError ('Specify one of the supported back ends as TEST_TREXIO_BACKEND')
FILENAME = 'test_file_py.h5'
BACK_END = trexio.TREXIO_HDF5
# remove TREXIO file if exists in the current directory
def clean():
"""Remove test files."""
import os
try:
if TEST_TREXIO_BACKEND == trexio.TREXIO_HDF5:
os.remove(output_filename)
elif TEST_TREXIO_BACKEND == trexio.TREXIO_TEXT:
shutil.rmtree(output_filename)
except:
print('Nothing to remove.')
os.remove(FILENAME)
os.remove('unsafe_' + FILENAME)
except FileNotFoundError:
pass
#=========================================================#
#============ WRITE THE DATA IN THE TEST FILE ============#
#=========================================================#
def test_info():
"""Print the output of the trexio.info function."""
trexio.info()
# test with ... as ... block
with trexio.File(output_filename, mode='w', back_end=TEST_TREXIO_BACKEND) as tfile:
def test_void():
"""Check raise of an error upon I/O on non-existing file."""
with pytest.raises(trexio.Error):
_ = trexio.File('void.file', 'r', BACK_END)
def test_orbital_list():
"""Convert one determinant into a list of orbitals."""
orb_list_up, orb_list_dn = trexio.to_orbital_list_up_dn(int64_num, det_test)
assert orb_list_up[0] == 0
assert orb_list_dn[0] == 1
class TestIO:
"""Unit tests for writing/reading different blocks of the TREXIO file."""
filename = FILENAME
back_end = BACK_END
mode = 'w'
test_file = None
clean()
def __del__(self):
if self.test_file:
if self.test_file.isOpen:
self.test_file.close()
def open(self, filename=None, mode=None, back_end=None):
"""Create a TREXIO file and open it for writing."""
if not filename:
filename = self.filename
else:
self.filename = filename
if not mode:
mode = self.mode
else:
self.mode = mode
if not back_end:
back_end = self.back_end
else:
self.back_end = back_end
self.test_file = trexio.File(filename, mode, back_end)
assert self.test_file.exists
def test_close(self):
"""Close the file."""
self.open()
if self.test_file.isOpen:
self.test_file.close()
assert not self.test_file.isOpen
def test_errors(self):
"""Test some exceptions based on trexio.Error class."""
self.open(filename='unsafe_' + self.filename, mode='w', back_end=self.back_end)
# try to write a negative number (should raise an error)
with pytest.raises(trexio.Error):
trexio.write_nucleus_num(self.test_file, -100)
trexio.write_nucleus_num(self.test_file, nucleus_num)
# try to overwrite a number (should raise an error)
with pytest.raises(trexio.Error):
trexio.write_nucleus_num(self.test_file, nucleus_num * 2)
def test_num(self):
"""Write a number."""
self.open()
trexio.write_nucleus_num(self.test_file, nucleus_num)
assert trexio.has_nucleus_num(self.test_file)
def test_str(self):
"""Write a string."""
self.open()
trexio.write_nucleus_point_group(self.test_file, point_group)
assert trexio.has_nucleus_point_group(self.test_file)
def test_array_str(self):
"""Write an array of strings."""
self.open()
if not trexio.has_nucleus_num(self.test_file):
self.test_num()
trexio.write_nucleus_label(self.test_file, nucleus_label)
assert trexio.has_nucleus_label(self.test_file)
def test_array_1D(self):
"""Write array of charges."""
self.open()
if not trexio.has_nucleus_num(self.test_file):
self.test_num()
trexio.write_nucleus_charge(self.test_file, nucleus_charge)
assert trexio.has_nucleus_charge(self.test_file)
def test_array_2D(self):
"""Write array of coordinates."""
self.open()
if not trexio.has_nucleus_num(self.test_file):
self.test_num()
trexio.write_nucleus_coord(self.test_file, nucleus_coord)
assert trexio.has_nucleus_coord(self.test_file)
def test_indices(self):
"""Write array of indices."""
self.open()
# type cast is important here because by default numpy transforms a list of integers into int64 array
indices_np = np.array(nucleus_index, dtype=np.int64)
# first write basis_shell_num because it is needed to check dimensions of basis_nucleus_index
trexio.write_basis_shell_num(self.test_file, basis_shell_num)
# now write the indices
trexio.write_basis_nucleus_index(self.test_file, indices_np)
assert trexio.has_basis_nucleus_index(self.test_file)
def test_sparse(self):
"""Write a sparse array."""
self.open()
# write ao_num (needed later to write sparse ao_2e_int_eri integrals)
trexio.write_ao_num(self.test_file, ao_num)
# one complete write (no chunking)
offset = 0
trexio.write_ao_2e_int_eri(self.test_file, offset, num_integrals, indices, values)
assert trexio.has_ao_2e_int_eri(self.test_file)
def test_determinant(self):
"""Write CI determinants and coefficients."""
self.open()
# write mo_num (needed later to write determinants)
trexio.write_mo_num(self.test_file, mo_num)
# get the number of bit-strings per spin component
int_num = trexio.get_int64_num(self.test_file)
assert int_num == int64_num
# write the data for the ground state
offset = 0
trexio.write_determinant_list(self.test_file, offset, det_num, dets)
assert trexio.has_determinant_list(self.test_file)
trexio.write_determinant_coefficient(self.test_file, offset, det_num, coeffs)
assert trexio.has_determinant_coefficient(self.test_file)
# write the data for some other state
self.test_file.set_state(2)
trexio.write_determinant_coefficient(self.test_file, offset, det_num, coeffs_s2)
assert trexio.has_determinant_coefficient(self.test_file)
self.test_file.set_state(0)
# manually check the consistency between coefficient_size and number of determinants
assert trexio.read_determinant_coefficient_size(self.test_file) == trexio.read_determinant_num(self.test_file)
def test_delete_group(self):
"""Delete a group."""
self.open(filename='unsafe_' + self.filename, mode='u', back_end=self.back_end)
self.test_num()
self.test_array_1D()
self.test_array_2D()
trexio.delete_nucleus(self.test_file)
assert not trexio.has_nucleus_num(self.test_file)
assert not trexio.has_nucleus_charge(self.test_file)
assert not trexio.has_nucleus_coord(self.test_file)
def test_context_manager(self):
"""Test the with ... as ... context handling."""
with trexio.File(filename=self.filename, mode='u', back_end=self.back_end) as tfile:
trexio.write_metadata_description(tfile, 'Test file produced by the Python API')
assert trexio.has_metadata_description(tfile)
assert tfile.isOpen
# the file handle can remain existing but the file itself is closed upon exit from the `with` block
assert not tfile.isOpen
# create TREXIO file and open it for writing
test_file = trexio.File(output_filename, mode='w', back_end=TEST_TREXIO_BACKEND)
assert test_file.exists
# Print docstring of the trexio.open function
#print(trexio.open.__doc__)
nucleus_num = 12
try:
trexio.write_nucleus_num(test_file, -100)
except trexio.Error:
print('Raise error for an attempt to write negative nucleus_num: checked.')
# write nucleus_num in the file
try:
trexio.write_nucleus_num(test_file, nucleus_num)
except:
raise
try:
trexio.write_nucleus_num(test_file, nucleus_num*2)
except trexio.Error:
print('Raise error for an attempt to overwrite nucleus_num: checked.')
# initialize charge arrays as a list and convert it to numpy array
charges = [6., 6., 6., 6., 6., 6., 1., 1., 1., 1., 1., 1.]
#charges_np = np.array(charges, dtype=np.float32)
charges_np = np.array(charges, dtype=np.int32)
# function call below works with both lists and numpy arrays, dimension needed for memory-safety is derived
# from the size of the list/array by SWIG using typemaps from numpy.i
trexio.write_nucleus_charge(test_file, charges_np)
basis_shell_num = 24
# initialize arrays of nuclear indices as a list and convert it to numpy array
indices = [i for i in range(basis_shell_num)]
# type cast is important here because by default numpy transforms a list of integers into int64 array
indices_np = np.array(indices, dtype=np.int64)
# first write basis_shell_num because it is needed to check dimensions of basis_nucleus_index in TREXIO >= 2.0.0
trexio.write_basis_shell_num(test_file, basis_shell_num)
# function call below works with both lists and numpy arrays, dimension needed for memory-safety is derived
# from the size of the list/array by SWIG using typemacs from numpy.i
trexio.write_basis_nucleus_index(test_file, indices_np)
# initialize a list of nuclear coordinates
coords = [
[ 0.00000000 , 1.39250319 , 0.00000000 ],
[-1.20594314 , 0.69625160 , 0.00000000 ],
[-1.20594314 , -0.69625160 , 0.00000000 ],
[ 0.00000000 , -1.39250319 , 0.00000000 ],
[ 1.20594314 , -0.69625160 , 0.00000000 ],
[ 1.20594314 , 0.69625160 , 0.00000000 ],
[-2.14171677 , 1.23652075 , 0.00000000 ],
[-2.14171677 , -1.23652075 , 0.00000000 ],
[ 0.00000000 , -2.47304151 , 0.00000000 ],
[ 2.14171677 , -1.23652075 , 0.00000000 ],
[ 2.14171677 , 1.23652075 , 0.00000000 ],
[ 0.00000000 , 2.47304151 , 0.00000000 ],
]
# write coordinates in the file
trexio.write_nucleus_coord(test_file, coords)
def test_read_num(self):
"""Read a number."""
self.open(mode='r')
num_r = trexio.read_nucleus_num(self.test_file)
assert num_r == nucleus_num
# write ao_num (needed later to write sparse ao_2e_int_eri integrals)
trexio.write_ao_num(test_file, 600)
# write sparse data in the file
num_integrals = 100
indices = [i for i in range(num_integrals*4)]
values = [(3.14 + float(i)) for i in range(num_integrals)]
trexio.write_ao_2e_int_eri(test_file, 0, num_integrals, indices, values)
def test_read_array_1D(self):
"""Read an array."""
self.open(mode='r')
charges_np_r = trexio.read_nucleus_charge(self.test_file)
assert charges_np_r.dtype is np.dtype(np.float64)
assert charges_np_r.size == nucleus_num
np.testing.assert_array_almost_equal(charges_np_r, np.array(nucleus_charge), decimal=8)
# write mo_num (needed later to write determinants)
mo_num = 150
trexio.write_mo_num(test_file, mo_num)
int_num = trexio.get_int64_num(test_file)
assert(int_num == int((mo_num-1)/64+1))
int_num *= 2
# write determinants in the file
num_dets = 50
offset = 0
dets = [i for i in range(num_dets*int_num)]
coeffs = [(3.14 + float(i)) for i in range(num_dets)]
coeffs_s2 = [(6.28 + float(i)) for i in range(num_dets)]
trexio.write_determinant_list(test_file, offset, num_dets, dets)
trexio.write_determinant_coefficient(test_file, offset, num_dets, coeffs)
test_file.set_state(2)
trexio.write_determinant_coefficient(test_file, offset, num_dets, coeffs_s2)
test_file.set_state(0)
# manually check the consistency between coefficient_size and number of determinants
assert trexio.read_determinant_coefficient_size(test_file) == trexio.read_determinant_num(test_file)
# write nucleus_point_group in the file
point_group = 'B3U'
trexio.write_nucleus_point_group(test_file, point_group)
# write nucleus_label in the file
labels = [
'C',
'C',
'C',
'C',
'C',
'C',
'H',
'H',
'H',
'H',
'H',
'H']
trexio.write_nucleus_label(test_file,labels)
# close TREXIO file
# this call is no longer needed as we introduced TREXIO_File class which has a desctructor that closes the file
#trexio.close(test_file)
# without calling destructor on test_file the TREXIO_FILE is not getting created and the data is not written when using TEXT back end.
# This, the user still has to explicitly call destructor on test_file object instead of the trexio.close function.
# This is only an issue when the data is getting written and read in the same session (e.g. in Jupyter notebook)
del test_file
#==========================================================#
#========== DELETE THE GROUP FROM THE TEST FILE ===========#
#==========================================================#
unsafe_file = trexio.File(output_filename, 'u', TEST_TREXIO_BACKEND)
# overwrite existing data (only allowed in 'u' - unsafe mode)
trexio.write_nucleus_num(unsafe_file, nucleus_num)
trexio.write_nucleus_charge(unsafe_file, charges_np)
trexio.write_nucleus_coord(unsafe_file, coords)
trexio.write_nucleus_label(unsafe_file,labels)
trexio.write_nucleus_point_group(unsafe_file, point_group)
print('Overwriting the data in UNSAFE mode: checked')
# delete existing group (only allowed in 'u' - unsafe mode)
trexio.delete_nucleus(unsafe_file)
assert not trexio.has_nucleus_num(unsafe_file)
assert not trexio.has_nucleus_charge(unsafe_file)
assert not trexio.has_nucleus_coord(unsafe_file)
assert not trexio.has_nucleus_label(unsafe_file)
assert not trexio.has_nucleus_point_group(unsafe_file)
print('Deleting nucleus group in UNSAFE mode: checked')
# restore the deleted data
trexio.write_nucleus_num(unsafe_file, nucleus_num)
trexio.write_nucleus_charge(unsafe_file, charges_np)
trexio.write_nucleus_coord(unsafe_file, coords)
trexio.write_nucleus_label(unsafe_file,labels)
trexio.write_nucleus_point_group(unsafe_file, point_group)
del unsafe_file
#==========================================================#
#============ READ THE DATA FROM THE TEST FILE ============#
#==========================================================#
# open previously created TREXIO file, now in 'read' mode
test_file2 = trexio.File(output_filename, 'r', trexio.TREXIO_AUTO)
assert test_file2.exists
# check for existence of some of the previously written variables
assert trexio.has_nucleus_num(test_file2)
assert trexio.has_nucleus_charge(test_file2)
assert trexio.has_nucleus_coord(test_file2)
assert trexio.has_nucleus_label(test_file2)
assert trexio.has_nucleus_point_group(test_file2)
assert trexio.has_ao_2e_int_eri(test_file2)
assert trexio.has_determinant_list(test_file2)
assert trexio.has_determinant_coefficient(test_file2)
# read nucleus_num from file
rnum = trexio.read_nucleus_num(test_file2)
assert rnum==nucleus_num
# safe call to read_nucleus_charge array of float values
rcharges_np = trexio.read_nucleus_charge(test_file2, dim=nucleus_num)
assert rcharges_np.dtype is np.dtype(np.float64)
np.testing.assert_array_almost_equal(rcharges_np, charges_np, decimal=8)
# unsafe call to read_safe should fail with error message corresponding to TREXIO_UNSAFE_ARRAY_DIM
try:
rcharges_fail = trexio.read_nucleus_charge(test_file2, dim=nucleus_num*5)
except trexio.Error:
print('Unsafe call to safe API: checked')
# safe call to read array of int values (nuclear indices)
rindices_np_16 = trexio.read_basis_nucleus_index(test_file2, dim=basis_shell_num, dtype=np.int16)
assert rindices_np_16.dtype is np.dtype(np.int16)
for i in range(basis_shell_num):
assert rindices_np_16[i]==indices_np[i]
rindices_np_32 = trexio.read_basis_nucleus_index(test_file2, dim=basis_shell_num, dtype=np.int32)
assert rindices_np_32.dtype is np.dtype(np.int32)
for i in range(basis_shell_num):
assert rindices_np_32[i]==indices_np[i]
rindices_np_64 = trexio.read_basis_nucleus_index(test_file2)
assert rindices_np_64.dtype is np.dtype(np.int64)
assert rindices_np_64.size==basis_shell_num
for i in range(basis_shell_num):
assert rindices_np_64[i]==indices_np[i]
def test_read_array_2D(self):
"""Read an array."""
self.open(mode='r')
# read nuclear coordinates without providing optional argument dim
rcoords_np = trexio.read_nucleus_coord(test_file2)
coords_np = trexio.read_nucleus_coord(self.test_file)
assert coords_np.dtype is np.dtype(np.float64)
assert coords_np.size == nucleus_num * 3
np.testing.assert_array_almost_equal(coords_np, np.array(nucleus_coord).reshape(nucleus_num,3), decimal=8)
assert rcoords_np.size==nucleus_num*3
np.testing.assert_array_almost_equal(rcoords_np, np.array(coords).reshape(nucleus_num,3), decimal=8)
# set doReshape to False to get a flat 1D array (e.g. when reading matrices like nuclear coordinates)
#rcoords_reshaped_2 = trexio.read_nucleus_coord(test_file2, doReshape=False)
def test_read_errors(self):
"""Test some reading errors."""
self.open(mode='r')
# unsafe call to read_safe should fail with error message corresponding to TREXIO_UNSAFE_ARRAY_DIM
with pytest.raises(trexio.Error):
_ = trexio.read_nucleus_charge(self.test_file, dim=nucleus_num/2)
# read number of integrals already present in the file
assert trexio.has_ao_2e_int_eri(test_file2)
assert trexio.read_ao_2e_int_eri_size(test_file2)==num_integrals
def test_read_integers(self):
"""Read some integer arrays."""
self.open(mode='r')
indices_np_16 = trexio.read_basis_nucleus_index(self.test_file, dtype=np.int16)
assert indices_np_16.dtype is np.dtype(np.int16)
assert (indices_np_16 == np.array(nucleus_index)).all()
indices_np_32 = trexio.read_basis_nucleus_index(self.test_file, dtype=np.int32)
assert indices_np_32.dtype is np.dtype(np.int32)
assert (indices_np_32 == np.array(nucleus_index)).all()
indices_np_64 = trexio.read_basis_nucleus_index(self.test_file)
assert indices_np_64.dtype is np.dtype(np.int64)
assert indices_np_64.size == basis_shell_num
assert (indices_np_64 == np.array(nucleus_index)).all()
def test_sparse_read(self):
"""Read a sparse array."""
self.open(mode='r')
# read sparse arrays on ao_2e_int_eri integrals
buf_size = 60
offset_file = 0
# read full buf_size (i.e. the one that does not reach EOF)
indices_sparse_np, value_sparse_np, read_buf_size, eof = trexio.read_ao_2e_int_eri(test_file2, offset_file, buf_size)
print(f'First complete sparse read size: {read_buf_size}')
#print(indices_sparse_np)
indices_sparse_np, value_sparse_np, read_buf_size, eof = trexio.read_ao_2e_int_eri(self.test_file, offset_file, buf_size)
#print(f'First complete sparse read size: {read_buf_size}')
assert not eof
assert read_buf_size == buf_size
assert indices_sparse_np[0][0] == 0
assert indices_sparse_np[read_buf_size-1][3] == read_buf_size * 4 - 1
offset_file += buf_size
offset_file += buf_size
# read incomplete buf_size (i.e. the one that does reach EOF)
indices_sparse_np, value_sparse_np, read_buf_size, eof2 = trexio.read_ao_2e_int_eri(test_file2, offset_file, buf_size)
print(f'Second incomplete sparse read size: {read_buf_size}')
#print(indices_sparse_np)
assert eof2
indices_sparse_np, value_sparse_np, read_buf_size, eof = trexio.read_ao_2e_int_eri(self.test_file, offset_file, buf_size)
#print(f'Second incomplete sparse read size: {read_buf_size}')
assert eof
assert read_buf_size == (num_integrals - buf_size)
assert indices_sparse_np[0][0] == offset_file * 4
assert indices_sparse_np[read_buf_size-1][3] == (offset_file + read_buf_size) * 4 - 1
# read number of determinants already present in the file
assert trexio.has_determinant_list(test_file2)
assert trexio.read_determinant_num(test_file2)==num_dets
def test_determinant_read(self):
"""Read the CI determinants."""
self.open(mode='r')
# read determinants (list of ints and float coefficients)
buf_size = 20
buf_size = 100
offset_file = 0
# read full buf_size (i.e. the one that does not reach EOF)
dets_np, read_buf_size, eof = trexio.read_determinant_list(test_file2, offset_file, buf_size)
print(f'First complete read of determinant list: {read_buf_size}')
#print(indices_sparse_np)
dets_np, read_buf_size, eof = trexio.read_determinant_list(self.test_file, offset_file, buf_size)
#print(f'First complete read of determinant list: {read_buf_size}')
assert not eof
assert read_buf_size == buf_size
assert dets_np[0][0] == 0
assert dets_np[read_buf_size-1][int_num-1]==read_buf_size*int_num-1
assert dets_np[read_buf_size-1][int64_num*2-1] == read_buf_size * int64_num * 2- 1
coefficients_np, read_buf_size, eof = trexio.read_determinant_coefficient(test_file2, offset_file, buf_size)
print(f'First complete read of determinant coefficients: {read_buf_size}')
#print(indices_sparse_np)
coefficients_np, read_buf_size, eof = trexio.read_determinant_coefficient(self.test_file, offset_file, buf_size)
#print(f'First complete read of determinant coefficients: {read_buf_size}')
assert not eof
assert read_buf_size == buf_size
# convert one determinant into a list of orbitals
dets_tmp = dets_np[read_buf_size-1][:]
#print(dets_tmp)
def test_array_str_read(self):
"""Read an array of strings."""
self.open(mode='r')
labels_r = trexio.read_nucleus_label(self.test_file)
assert len(labels_r) == nucleus_num
assert labels_r == nucleus_label
# divide by 2 because in this test int_num is the total number of integers (i.e. up-spin + down_spin)
orb_list_up, orb_list_dn = trexio.to_orbital_list_up_dn(int(int_num/2), dets_tmp)
assert(orb_list_up[0] == 1)
assert(orb_list_dn[0] == 0)
#print(orb_list_up)
#print(orb_list_dn)
# read array of nuclear labels
rlabels_2d = trexio.read_nucleus_label(test_file2, dim=nucleus_num)
print(rlabels_2d)
for i in range(nucleus_num):
assert rlabels_2d[i]==labels[i]
# read a string corresponding to nuclear point group
rpoint_group = trexio.read_nucleus_point_group(test_file2)
assert rpoint_group==point_group
# another way to read only if the variable exists
if trexio.has_ao_num(test_file2):
rao_num = trexio.read_ao_num(test_file2)
else:
print('Pass on reading the non-existing variable ao_num: checked')
# close TREXIO file
#trexio.close(test_file2)
# cleaning (remove the TREXIO file)
try:
if TEST_TREXIO_BACKEND == trexio.TREXIO_HDF5:
os.remove(output_filename)
elif TEST_TREXIO_BACKEND == trexio.TREXIO_TEXT:
shutil.rmtree(output_filename)
except:
print(f'No output file {output_filename} has been produced')
#==========================================================#
#==========================================================#
#======= OPEN NON-EXISTING FILE TO TEST TREXIO.OPEN =======#
#==========================================================#
try:
void_file = trexio.File('non_existing.file', 'r', TEST_TREXIO_BACKEND)
except trexio.Error as e:
if e.error == trexio.TREXIO_OPEN_ERROR:
print('Opening non-existing file returns TREXIO_OPEN_ERROR: checked')
else:
raise ValueError('[DEV]: error handling of trexio_open function has changed; check the consistency')
#==========================================================#
def test_str_read(self):
"""Read a string."""
self.open(mode='r')
point_group_r = trexio.read_nucleus_point_group(self.test_file)
assert point_group_r == point_group