RELEASE: 0.0.1a33

nutcracker/data/instance_collection.py

@@ -82,32 +82,6 @@ def sample(self, n: int, seed: Optional[int] = None, in_place: bool = True) -> O
 
 
 
-    def stylistic_sample(self, n: int, in_place: bool = True) -> Optional[list]:
-        """
-        Samples 'n' instances that are the furthest apart stylistically.
-
-        Args:
-            n (int): The number of instances to sample.
-            seed (Optional[int]): Optional random seed for reproducibility.
-
-        Returns:
-            List: A list of 'n' spaCy Doc objects sampled based on their stylistic differences.
-        """
-        if n > len(self.instances):
-            raise ValueError("Sample size 'n' cannot be greater than the total number of instances.")
-        nlp = spacy.load("en_core_web_sm")
-        for instances in
-
-        sampled_indices = random.sample(range(len(self.instances)), n)
-
-        if in_place:
-            self.instances = [self.instances[i] for i in sampled_indices]
-            return None
-        else:
-            return [self.instances[i] for i in sampled_indices]
-
-
-
     def get_max_token_length_user_prompt(self) -> int:
         """Find the maximum user prompt length across all instances.
 

setup.py

@@ -1,7 +1,7 @@
 from distutils.core import setup
 from setuptools import find_packages
 
-this_version='0.0.1a32'
+this_version='0.0.1a33'
 
 # python setup.py sdist
 # python -m twine upload dist/*