adjusted warn msg based on Daynes suggestion

src/cdtools/datasets/ptycho_2d_dataset.py

@@ -125,9 +125,9 @@ class Ptycho2DDataset(CDataset):
         self.translations = self.translations.to(*args, **kwargs)
         self.patterns = self.patterns.to(*args, **kwargs)
 
-
     # It sucks that I can't reuse the base factory method here,
     # perhaps there is a way but I couldn't figure it out.
+
     @classmethod
     def from_cxi(cls, cxi_file, cut_zeros=True, load_patterns=True):
         """Generates a new Ptycho2DDataset from a .cxi file directly
@@ -149,7 +149,7 @@ class Ptycho2DDataset(CDataset):
         """
         # If a bare string is passed
         if isinstance(cxi_file, str) or isinstance(cxi_file, pathlib.Path):
-            with h5py.File(cxi_file,'r') as f:
+            with h5py.File(cxi_file, 'r') as f:
                 return cls.from_cxi(f, cut_zeros=cut_zeros, load_patterns=load_patterns)
 
         # Generate a base dataset
@@ -168,7 +168,10 @@ class Ptycho2DDataset(CDataset):
                 # If the data is 64-bit, we need to convert it to 32-bit
                 # because 64-bit floats are not supported in reconstructions
                 dataset.patterns = dataset.patterns.to(dtype=t.float32)
-                warnings.warn('64-bit floats are not supported and precision will not be retained in reconstructions and were converted to t.float32! Please explicitly convert your data to 32-bit or submit a pull request')
+                warnings.warn(
+                    "64-bit floats are not supported and precision will not be retained in reconstructions and were converted to t.float32! "
+                    "If you would like to have 64-bit support, please open an issue or submit a pull request."
+                )
             dataset.axes = axes
 
             if dataset.mask is None:
@@ -179,9 +182,8 @@ class Ptycho2DDataset(CDataset):
             dataset.intensities = t.as_tensor(intensities, dtype=t.float32)
         except KeyError:
             dataset.intensities = None
-            
-        return dataset
 
+        return dataset
 
     def to_cxi(self, cxi_file):
         """Saves out a Ptycho2DDataset as a .cxi file