applied black

image_prediction/compositor/compositor.py

@@ -4,7 +4,6 @@ from image_prediction.transformer.transformer import Transformer
 
 
 class TransformerCompositor(Transformer):
-
     def __init__(self, formatter: Transformer, *formatters: Transformer):
         formatters = (formatter, *formatters)
         self.pipe = rcompose(*formatters)

image_prediction/formatter/formatters/camel_case.py

@@ -2,7 +2,6 @@ from image_prediction.formatter.formatters.key_formatter import KeyFormatter
 
 
 class Snake2CamelCaseKeyFormatter(KeyFormatter):
-
     @staticmethod
     def format_key(key):
 

image_prediction/formatter/formatters/enum.py

@@ -4,7 +4,6 @@ from image_prediction.formatter.formatters.key_formatter import KeyFormatter
 
 
 class EnumFormatter(KeyFormatter):
-
     def format_key(self, key):
         return key.value if isinstance(key, Enum) else key
 

image_prediction/formatter/formatters/identity.py

@@ -2,6 +2,5 @@ from image_prediction.formatter.formatter import Formatter
 
 
 class IdentityFormatter(Formatter):
-
     def format(self, obj):
         return obj

image_prediction/formatter/formatters/key_formatter.py

@@ -5,7 +5,6 @@ from image_prediction.formatter.formatter import Formatter
 
 
 class KeyFormatter(Formatter):
-
     @abc.abstractmethod
     def format_key(self, key):
         raise NotImplementedError

image_prediction/formatter/formatters/response.py

@@ -6,7 +6,6 @@ from image_prediction.transformer.transformer import Transformer
 
 
 class ResponseTransformer(Transformer):
-
     def transform(self, data):
         try:
             return build_image_info(data)

image_prediction/label_mapper/mappers/probability.py

@@ -14,7 +14,6 @@ class ProbabilityMapperKeys(Enum):
     PROBABILITIES = "probabilities"
 
 
-
 class ProbabilityMapper(LabelMapper):
     def __init__(self, labels: Mapping[int, str]):
         self.__labels = labels