[python-hdf5storage] 65/152: Added numpy bool read writeback tests.

[Ghislain Vaillant]

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ghisvail-guest pushed a commit to annotated tag 0.1
in repository python-hdf5storage.

commit 32468974b83c237d3bc49f3aa8916634c12471a6
Author: Freja Nordsiek <fnordsie at gmail.com>
Date:   Thu Jan 30 00:55:53 2014 -0500

    Added numpy bool read writeback tests.
---
 tests/test_write_readback.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/tests/test_write_readback.py b/tests/test_write_readback.py
index af58360..a68d1d7 100755
--- a/tests/test_write_readback.py
+++ b/tests/test_write_readback.py
@@ -53,8 +53,11 @@ class TestWriteReadbackCpythonMatlab(unittest.TestCase):
 
     def random_numpy(self, shape, dtype):
         nbytes = np.ndarray(shape=(1,), dtype=dtype).nbytes
-        return np.ndarray(shape=shape, dtype=dtype,
-                          buffer=np.random.bytes(nbytes*np.prod(shape)))
+        bts = np.random.bytes(nbytes * np.prod(shape))
+        if dtype == 'bool':
+            bts = b''.join([{True: b'\x01', False: b'\x00'}[ \
+                ch > 127] for ch in bts])
+        return np.ndarray(shape=shape, dtype=dtype, buffer=bts)
 
     def random_numpy_scalar(self, dtype):
         return self.random_numpy(tuple(), dtype)[()]
@@ -202,6 +205,9 @@ class TestWriteReadbackCpythonMatlab(unittest.TestCase):
                                             self.options)
         self.assert_equal_numpy(data, out)
 
+    def test_numpy_bool_scalar(self):
+        self.t_numpy_scalar('bool')
+
     def test_numpy_uint8_scalar(self):
         self.t_numpy_scalar('uint8')
 
@@ -241,6 +247,9 @@ class TestWriteReadbackCpythonMatlab(unittest.TestCase):
     def test_numpy_complex128_scalar(self):
         self.t_numpy_scalar('complex128')
 
+    def test_numpy_bool(self):
+        self.t_numpy('bool')
+
     def test_numpy_uint8(self):
         self.t_numpy('uint8')
 
@@ -280,6 +289,9 @@ class TestWriteReadbackCpythonMatlab(unittest.TestCase):
     def test_numpy_complex128(self):
         self.t_numpy('complex128')
 
+    def test_numpy_bool_empty(self):
+        self.t_numpy_empty('bool')
+
     def test_numpy_uint8_empty(self):
         self.t_numpy_empty('uint8')
 

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