@@ -78,7 +78,7 @@ def test_drop_remainder_true(self):
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drop_remainder = True ,
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shuffle = False ,
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)
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- self .assertEquals (data_generator .batches_per_epoch , 3 )
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+ self .assertEqual (data_generator .batches_per_epoch , 3 )
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for i in range (3 ):
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data_generator .get_batch ()
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_ , y_batch = data_generator .get_batch ()
@@ -92,11 +92,11 @@ def test_nothing_to_drop(self):
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drop_remainder = True ,
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shuffle = False ,
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)
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- self .assertEquals (data_generator .batches_per_epoch , 10 )
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+ self .assertEqual (data_generator .batches_per_epoch , 10 )
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for i in range (9 ):
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data_generator .get_batch ()
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_ , y_batch = data_generator .get_batch ()
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- self .assertEquals (len (y_batch ), 10 )
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+ self .assertEqual (len (y_batch ), 10 )
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def test_drop_remainder_false (self ):
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data_generator = NumpyDataGenerator (
@@ -106,11 +106,11 @@ def test_drop_remainder_false(self):
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drop_remainder = False ,
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shuffle = False ,
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)
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- self .assertEquals (data_generator .batches_per_epoch , 4 )
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+ self .assertEqual (data_generator .batches_per_epoch , 4 )
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for i in range (3 ):
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data_generator .get_batch ()
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x_batch , _ = data_generator .get_batch ()
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- self .assertEquals (len (x_batch ), self .m % self .batch_size )
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+ self .assertEqual (len (x_batch ), self .m % self .batch_size )
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def test_shuffle (self ):
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"""
@@ -143,7 +143,7 @@ def test_single_epoch_generator(self):
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drop_remainder = True ,
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shuffle = False ,
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)
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- self .assertEquals (data_generator .batches_per_epoch , 3 )
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+ self .assertEqual (data_generator .batches_per_epoch , 3 )
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for i in range (3 ):
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data_generator .get_batch ()
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_ , y_batch = data_generator .get_batch ()
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