Readd old datetime/timedelta tests

This restores the old datetime/timedelta tests in their same position in
the parameterized compression tests. Should ensure their fixtures stay
the same. Also should make sure we haven't accidentally broken backwards
compatibility by including the original tests. The new tests with NaT
values are included afterwards. This will make sure that new fixture
data is generated for them.

Author: jakirkham

numcodecs/tests/test_blosc.py

@@ -43,6 +43,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_bz2.py

@@ -30,6 +30,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_gzip.py

@@ -32,6 +32,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_lz4.py

@@ -33,6 +33,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_lzma.py

@@ -38,6 +38,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_zlib.py

@@ -32,6 +32,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),

numcodecs/tests/test_zstd.py

@@ -33,6 +33,10 @@
     np.random.normal(loc=1000, scale=1, size=(100, 10)),
     np.random.randint(0, 2, size=1000, dtype=bool).reshape(100, 10, order='F'),
     np.random.choice([b'a', b'bb', b'ccc'], size=1000).reshape(10, 10, 10),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('M8[ns]'),
+    np.random.randint(0, 2**60, size=1000, dtype='u8').view('m8[ns]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('M8[m]'),
+    np.random.randint(0, 2**25, size=1000, dtype='u8').view('m8[m]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('M8[ns]'),
     (-np.random.randint(-2**30, 2**30, size=1000, dtype='i8')).view('m8[ns]'),
     (-np.random.randint(-2**12, 2**13, size=1000, dtype='i8')).view('M8[m]'),