示例#1
0
def test_len():
    data = None
    try:
        with PDS(name='data', verbose=VERBOSE) as data:
            data.clear()
            assert len(data) == 0
            assert slow_len(data) == 0
            
            data['a'] = 1
            assert len(data) == 1
            assert slow_len(data) == 1
            
            for i in range(1, 8):
                data[i*10] = i
            assert len(data) == 8
            assert slow_len(data) == 8
            
        with PDS(name='data', verbose=VERBOSE) as data:
            assert len(data) == 8
            assert slow_len(data) == 8
            
            data.clear()
            assert len(data) == 0
            assert slow_len(data) == 0
            
        with PDS(name='data', verbose=VERBOSE) as data:
            assert len(data) == 0
            assert slow_len(data) == 0
    finally:
        if data is not None:
            data.erase()
示例#2
0
def test_pd_bytes():
    t1 = (3.4, 4.5, 5.6, 6.7, 7.8, 8.9)
    t2 = (3.4, 4.5, 5.6, 6.7, 7.8, 8.9, 9,1)
    
    b1 = pickle.dumps(t1)
    b2 = pickle.dumps(t2)
    
    base_data = None
    try:
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key=b1, create_sub_data=True) as sub_data:
                for i in range(2, 10):
                    sub_data[i] = t2
                    
            base_data[b2] = t1
            
        if VERBOSE > 1:
            print("\nCHECK\n")
            
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key=b1) as sub_data:
                for i in range(2, 10):
                    assert np.all(sub_data[i] == t2)
            
            assert np.all(base_data[b2] == t1)
            
    finally:
        if base_data is not None:
            base_data.erase()
示例#3
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def test_pd():
    data = None
    try:
        with PDS(name='test_data', verbose=VERBOSE) as data:
            data.clear()
            key = 'a'
            value = 1
            try:
                data.getData(key)
            except KeyError as e:
                pass
            
            data.setData(key=key, value=value)
            assert data.getData(key) == value
            assert len(data) == 1
            
            key_sub = 'zz'
            with data.getData(key_sub, create_sub_data=True) as sub_data:                
                sub_data.setData(key=key, value=3)
                assert sub_data.getData(key) == 3
                assert data.getData(key) == 1
                
                with sub_data.getData(key_sub, create_sub_data=True) as sub_sub_data:
                    sub_sub_data.setData(key=key, value=4)
                    assert sub_sub_data.getData(key) == 4
                    assert sub_data.getData(key) == 3
                    assert data.getData(key) == 1
                    
                with sub_data.getData(key_sub, create_sub_data=True) as sub_sub_data:
                    assert sub_sub_data.getData(key) == 4
                    assert sub_data.getData(key) == 3
                    assert data.getData(key) == 1
    
        with PDS(name='test_data', verbose=VERBOSE) as data:
            data['d1'] = ('ö', 4, [0])
        with PDS(name='test_data', verbose=VERBOSE) as data:
            d1 = data['d1']
            assert d1[0] == 'ö'
            assert d1[1] == 4
            assert d1[2] == [0]
            
        with PDS(name='test_data', verbose=VERBOSE) as data:
            data.clear()
            data.newSubData(key='sub_1', overwrite = False)
            
        with PDS(name='test_data', verbose=VERBOSE) as data:
            try:
                data.newSubData(key='sub_1', overwrite = False)
            except KeyError:
                pass        
        
            data.newSubData(key='sub_1', overwrite = True)
    finally:
        if data is not None:
            data.erase()
示例#4
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def test_merge_fname_conflict():
    a = np.random.rand(5)
    b = np.random.rand(5)
    
    d1 = None
    d2 = None
    try:
    
        with PDS(name='d1', verbose=VERBOSE) as d1:
            d1.clear()
            d1['aa'] = a
            with d1.newSubData('sub1') as sub1:
                sub1['s1'] = 11
                sub1['a'] = a
                
        with PDS(name='d2', verbose=VERBOSE) as d2:
            d2.clear()
            d2['2k1'] = 1
            d2['2aa'] = b
            with d2.newSubData('sub2') as sub2:
                sub2['s2'] = 22
                sub2['a2'] = b
                
            assert np.all(d2['2aa'] == b)
            with PDS(name='d1', verbose=VERBOSE) as d1:
                d2.mergeOtherPDS(other_db = d1, update='error', status_interval=0)
            assert np.all(d2['2aa'] == b)
            
        with PDS(name='d2', verbose=VERBOSE) as d2:
            assert d2['2k1'] == 1
            assert np.all(d2['2aa'] == b)
            
            assert np.all(d2['aa'] == a)
            
            assert d2.has_key('sub1')
            with d2['sub1'] as sub1:
                assert sub1['s1'] == 11
                assert np.all(sub1['a'] == a)
            
            assert d2.has_key('sub2')
            with d2['sub2'] as sub2:
                assert sub2['s2'] == 22
                assert np.all(sub2['a2'] == b)
    finally:
        if d1 is not None:
            d1.erase()
        if d2 is not None:
            d2.erase()
示例#5
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def test_remove_sub_data_and_check_len():
    base_data = None
    try:

        with PDS(name='base', verbose=VERBOSE) as base_data:
            base_data.clear()
            with base_data.getData(key='sub1', create_sub_data = True) as sub_data:
                sub_data[100] = 't1'
                sub_data[200] = 't2'
                with sub_data.getData(key = 'subsub1', create_sub_data = True) as sub_sub_data:
                    sub_sub_data['t'] = 'hallo Welt'
                    
                    
                assert len(sub_data) == 3, "len = {}".format(len(sub_data))
            
    
    
            assert len(base_data) == 1
            base_data['copy_of_sub1'] = sub_data
            assert len(base_data) == 2
            del base_data['sub1']
            assert len(base_data) == 1
            
            with base_data.getData(key='copy_of_sub1', create_sub_data = True) as sub_data:
                assert len(sub_data) == 3
                assert sub_data[100] == 't1'
                assert sub_data[200] == 't2'
                with sub_data.getData(key = 'subsub1', create_sub_data = True) as sub_sub_data:
                    assert sub_sub_data['t'] == 'hallo Welt'
                
            assert ('sub1' not in base_data)
    finally:
        if base_data is not None:
            base_data.erase()    
示例#6
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def test_npa():
    a = np.linspace(0, 1, 100).reshape(10,10)
    data = None
    try:
        with PDS(name='data_npa', verbose=VERBOSE) as data:
            data['a'] = a
            
        with PDS(name='data_npa', verbose=VERBOSE) as data:
            b = data['a']
            assert np.all(b == a)      
            
        with PDS(name='data_npa', verbose=VERBOSE) as data:
            del data['a']
            data['a'] = a
    finally:
        if data is not None:
            data.erase()
示例#7
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def test_iterator():
    db = None
    try:
        with PDS(name='pds') as db:
            db.clear()
            db['a'] = 5
            db[4] = (3, 's', [0])
            db['uni'] = np.arange(10) 
            db[b'\xff\xee'] = np.arange(4)
            with db.newSubData('sub') as sub:
                sub['d1'] = 1
                sub['d2'] = np.arange(5)
    
        db = PDS(name='pds')
        for k in db:
            print(k)
        db.close()
        
    finally:
        if db is not None:
            db.erase()
示例#8
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def test_convert_SQL_TO_H5():
    data = np.empty((10,), dtype='<U2')
    data[0] = 'd\U00008000' 
    data[1] = 'ha'
    
    db = None
    db_h5 = None
    
    try:
            
        with PDS_SQL(name='pds_sql') as db:
            db.clear()
            db['a'] = 5
            db[4] = (3, 's', [0])
            db['uni'] = data 
            db[b'\xff\xee'] = np.arange(4)
            with db.newSubData('sub') as sub:
                sub['d1'] = 1
                sub['d2'] = data
            
        
        with PDS(name='pds_h5') as db_h5:
            db_h5.clear()
            db_h5['datautest'] = data
            with PDS_SQL(name='pds_sql') as db_sql:
                mergePDS(db_sql, db_h5, status_interval=0)
                
        with PDS(name='pds_h5') as db_h5:
            assert db_h5['a'] == 5
            assert db_h5['4'] == (3, 's', [0])
            assert np.all(db_h5[b'\xff\xee'] == np.arange(4))
            assert np.all(db_h5['uni'] == data)
            sub = db_h5['sub']
            assert sub['d1'] == 1
            assert np.all(sub['d2'] == data)
    finally:
        if db is not None:
            db.erase()
        if db_h5 is not None:
            db_h5.erase()
示例#9
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def test_not_in():
    data = None
    try:
        with PDS(name='data', verbose=VERBOSE) as data:
            data['a'] = 1
            data['b'] = 2
            with data.newSubData('s1') as s1:
                s1['bla'] = 9
                
            assert ('a' in data)
            assert ('b' in data)
            assert ('s1' in data)
            
            assert ('c' not in data)
                
    finally:
        if data is not None:
            data.erase()
示例#10
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def test_md5_clash():
    data = None
    try:
        with PDS(name='test_data', verbose=VERBOSE) as data:
            data.clear()
            data._md5 = lambda key: str(np.random.randint(0,2))
            for i in range(100):
                data['a{}'.format(i)] = i
            assert len(data) == 100
            
            for i in range(100):
                data.newSubData('s{}'.format(i))
            assert len(data) == 200
            
            n = 0
            for k in data:
                n += 1
            assert n == 200
    finally:
        if data is not None:
            data.erase()
示例#11
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def test_clear():
    data = None
    try:
        with PDS(name='data', verbose=VERBOSE) as data:
            data.clear()
            data['a'] = 1
            data['b'] = 2
            with data.newSubData('s1') as s1:
                s1['bla'] = 9
            with data.newSubData('s2') as s2:
                s2['bla2'] = 18
            
            with data['s1'] as s1:
                s1['t'] = 'tmp'
                s1.clear()
            
            with data['s1'] as s1:
                assert len(s1) == 0
                assert slow_len(s1) == 0
            
            data.clear()
    finally:
        if data is not None:
            data.erase()            
示例#12
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def test_link_vs_copy():
    data = np.arange(0,5)
    d = None
    try:
        with PDS(name='d', verbose=VERBOSE) as d:
            d.clear()
            sub = d.getData('sub', create_sub_data = True)
            sub['3'] = 3
            sub['4'] = 4
    
            h5obj = d.getH5Object('sub')
            assert h5obj.attrs['size'] == 2        
            
            d.setDataFromSubData('gr1_copy', sub, copy=False)
            h5obj = d.getH5Object('gr1_copy')
            assert h5obj.attrs['size'] == 2
            
            d.setDataFromSubData('gr1_link', sub, copy=True)
            h5obj = d.getH5Object('gr1_link')
            assert h5obj.attrs['size'] == 2
            
            assert len(d) == 3
            
        with PDS(name='d', verbose=VERBOSE) as d:
            d.clear()
            gr1 = d.getData('gr1', create_sub_data=True)
            gr1['data'] = data
            gr1['str'] = 'gr1'
            keys = [k for k in d['gr1']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'
                            
            d.setDataFromSubData('gr1_link', gr1, copy=False)
            assert len(d) == d.calc_len()
            
            keys = [k for k in d['gr1']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'
            keys = [k for k in d['gr1_link']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'         
            
            d.setDataFromSubData('gr1_copy', gr1, copy=True)
            assert len(d) == d.calc_len()
            keys = [k for k in d['gr1']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'
            keys = [k for k in d['gr1_copy']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'
        
        with PDS(name='d', verbose=VERBOSE) as d:
            assert np.all(d['gr1']['data'] == d['gr1_link']['data'])
            assert np.all(d['gr1']['data'] == d['gr1_copy']['data'])
            
            d['gr1'].getH5Object('data')[0] = -3
            assert d['gr1_link']['data'][0] == -3
            assert d['gr1_copy']['data'][0] == 0
            
            keys = [k for k in d['gr1']]
            assert keys[0] == 'str'
            assert keys[1] == 'data'
     
    finally:
        if d is not None:
            d.erase()
示例#13
0
def test_merge():
    
    a = np.random.rand(5)
    
    d1 = None
    d2 = None
    
    try:
    
        with PDS(name='d1', verbose=VERBOSE) as d1:
            d1.clear()
            d1['k1'] = 1
            d1['k2'] = 2
            d1['k3'] = 3
            d1['aa'] = a
            with d1.newSubData('sub1') as sub1:
                sub1['s1'] = 11
                sub1['s2'] = 12
                sub1['s3'] = 13
                sub1['a'] = a
                
        with PDS(name='d2', verbose=VERBOSE) as d2:
            d2.clear()
            d2['2k1'] = 1
            with PDS(name='d1', verbose=VERBOSE) as d1:
                d2.mergeOtherPDS(other_db = d1, status_interval=0)
    
        with PDS(name='d2', verbose=VERBOSE) as d2:
            assert 'k1' in d2
            assert d2['k1'] == 1
            assert 'k2' in d2
            assert d2['k2'] == 2
            assert 'k3' in d2
            assert d2['k3'] == 3
            assert 'aa' in d2
            assert np.all(d2['aa'] == a)            
                
            assert "sub1" in d2
            assert isinstance(d2["sub1"], PDS)
            with d2["sub1"] as sub:
                assert 's1' in sub
                assert sub['s1'] == 11
                assert 's2' in sub
                assert sub['s2'] == 12
                assert 's3' in sub
                assert sub['s3'] == 13
                assert 'a' in sub
                assert np.all(sub['a'] == a)
                
        try:
            with PDS(name='d2', verbose=VERBOSE) as d2:
                with PDS(name='d1', verbose=VERBOSE) as d1:
                    d2.mergeOtherPDS(other_db = d1, update='error', status_interval=0)
        except KeyError as e:
            print(e)
            print("this is ok!")
            pass
        
        with PDS(name='d2', verbose=VERBOSE) as d2:
            d2['k1'] = 'k1'
            with PDS(name='d1', verbose=VERBOSE) as d1:
                d2.mergeOtherPDS(other_db = d1, update='ignore', status_interval=0)
            assert d2['k1'] == 'k1'
            
        with PDS(name='d2', verbose=VERBOSE) as d2:
            d2['k1'] = 'k1'
            with PDS(name='d1', verbose=VERBOSE) as d1:
                d2.mergeOtherPDS(other_db = d1, update='update', status_interval=0)
            assert d2['k1'] == 1        

    finally:
        if d1 is not None:
            d1.erase()
        if d2 is not None:
            d2.erase()
示例#14
0
def test_from_existing_sub_data():
    print()
    print('test_from_existing_sub_data')
    t1 = (3.4, 4.5, 5.6, 6.7, 7.8, 8.9)
    t2 = (3.4, 4.5, 5.6, 6.7, 7.8, 8.9, 9,1)
    
    base_data = None
    try:
        with PDS(name='base', verbose=VERBOSE) as base_data:
            base_data.clear()
            with base_data.getData(key='s1', create_sub_data = True) as s1:
                s1['d1'] = 1
                s1['d2'] = 'b'
                 
        with PDS(name='base', verbose=VERBOSE) as base_data:
            assert base_data['s1']['d1'] == 1
            assert base_data['s1']['d2'] == 'b'
            base_data.setDataFromSubData('s2', base_data['s1'])
            assert base_data['s2']['d1'] == 1
            assert base_data['s2']['d2'] == 'b'
            
            del base_data['s1']
            assert base_data['s2']['d1'] == 1
            assert base_data['s2']['d2'] == 'b'            
        
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key='sub1', create_sub_data = True) as sub_data:
                sub_data[100] = t1
                sub_data[200] = t2
                with sub_data.getData(key = 'subsub1', create_sub_data = True) as sub_sub_data:
                    sub_sub_data['t'] = 'hallo Welt'
                    
            base_data.setDataFromSubData(key='sub2', subData = sub_data)
    
            
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key='sub2', create_sub_data = False) as sub_data:
                assert np.all(sub_data[100] == t1)
                assert np.all(sub_data[200] == t2)
                with sub_data.getData(key = 'subsub1', create_sub_data = False) as sub_sub_data:
                    assert sub_sub_data['t'] == 'hallo Welt'
                    
    
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key='sub1', create_sub_data = True) as sub_data:
                base_data['sub2'] = sub_data
                
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key='sub2', create_sub_data = False) as sub_data:
                assert np.all(sub_data[100] == t1)
                assert np.all(sub_data[200] == t2)
                with sub_data.getData(key = 'subsub1', create_sub_data = False) as sub_sub_data:
                    assert sub_sub_data['t'] == 'hallo Welt'
                    sub_sub_data['t'] = 'sub2:hallo Welt'
                
                sub_data[100] = "sub2:t1"  
                sub_data[200] = "sub2:t2"
                
    
        with PDS(name='base', verbose=VERBOSE) as base_data:
            base_data.clear()
            with base_data.getData(key = 'sub1', create_sub_data = True) as sub1:
                sub1['npa'] = np.linspace(0,1,10)
                sub1['val'] = 'hallo ich bin sub1'
                
            base_data['sub2'] = sub1
            
        with PDS(name='base', verbose=VERBOSE) as base_data:
            npa1 = base_data['sub1']['npa']
            npa2 = base_data['sub1']['npa']
            
            assert type(npa1) == np.ndarray
            assert type(npa2) == np.ndarray
    finally:
        if base_data is not None:
            base_data.erase()
示例#15
0
def test_from_existing_sub_data_0():
    base_data = None
    try:
        with PDS(name='base', verbose=VERBOSE) as base_data:
            with base_data.getData(key='sub1', create_sub_data = True) as sub_data:
                sub_data[10] = 'sub1_10'
                sub_data[20] = 'sub1_20'
                with sub_data.getData(key = 'subsub1', create_sub_data = True) as sub_sub_data:
                    sub_sub_data[100] = 'subsub1_100'
            
                # case: non existing key        
                base_data.setDataFromSubData(key='sub2', subData = sub_data)
                with base_data['sub2'] as sub2:
                    assert sub2[10] == sub_data[10]
                    assert sub2[20] == sub_data[20]
                    
                    with sub_data['subsub1'] as sub_sub_data:
                        with sub2['subsub1'] as subsub2:
                            sub_sub_data[100] = subsub2[100]
                # same with set_item
                base_data['sub2_'] = sub_data
                with base_data['sub2_'] as sub2:
                    assert sub2[10] == sub_data[10]
                    assert sub2[20] == sub_data[20]
                    
                    with sub_data['subsub1'] as sub_sub_data:
                        with sub2['subsub1'] as subsub2:
                            sub_sub_data[100] = subsub2[100]
                            
                
                # case: already used key
                base_data['00'] = 0
                base_data.setDataFromSubData(key='00', subData = sub_data, overwrite=True)
                with base_data['00'] as sub2:
                    assert sub2[10] == sub_data[10]
                    assert sub2[20] == sub_data[20]
                    
                    with sub_data['subsub1'] as sub_sub_data:
                        with sub2['subsub1'] as subsub2:
                            sub_sub_data[100] = subsub2[100]
                            
                # case: already used key and set_item
                base_data['00_'] = 0
                base_data['00_'] = sub_data
                with base_data['00'] as sub2:
                    assert sub2[10] == sub_data[10]
                    assert sub2[20] == sub_data[20]
                    
                    with sub_data['subsub1'] as sub_sub_data:
                        with sub2['subsub1'] as subsub2:
                            sub_sub_data[100] = subsub2[100]
                            
                
                # case: already used key with sub data
                with base_data.getData(key='s', create_sub_data = True) as s:
                    s['a'] = 'a'  
                    s['b'] = 7
                
                base_data.setDataFromSubData(key='s', subData = sub_data, overwrite=True)
                with base_data['s'] as sub2:
                    assert sub2[10] == sub_data[10]
                    assert sub2[20] == sub_data[20]
                    
                    with sub_data['subsub1'] as sub_sub_data:
                        with sub2['subsub1'] as subsub2:
                            sub_sub_data[100] = subsub2[100]                
                
                    assert 'a' not in sub2
                    assert 'b' not in sub2
                    
    finally:
        print()
        if base_data is not None:
            base_data.erase()