Bump black from 20.8b1 to 21.5b1 (#5195)

* Bump black from 20.8b1 to 21.5b1

Bumps [black](/~https://github.com/psf/black) from 20.8b1 to 21.5b1.
- [Release notes](/~https://github.com/psf/black/releases)
- [Changelog](/~https://github.com/psf/black/blob/main/CHANGES.md)
- [Commits](/~https://github.com/psf/black/commits)

Signed-off-by: dependabot[bot] <support@github.com>

* formatting changes

Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Akshita Bhagia <akshita23bhagia@gmail.com>

allennlp/commands/find_learning_rate.py

@@ -317,7 +317,7 @@ def search_learning_rate(
 
 
 def _smooth(values: List[float], beta: float) -> List[float]:
-    """ Exponential smoothing of values """
+    """Exponential smoothing of values"""
     avg_value = 0.0
     smoothed = []
     for i, value in enumerate(values):

allennlp/models/archival.py

@@ -26,7 +26,7 @@
 
 
 class Archive(NamedTuple):
-    """ An archive comprises a Model and its experimental config"""
+    """An archive comprises a Model and its experimental config"""
 
     model: Model
     config: Params

allennlp/modules/transformer/t5.py

@@ -221,7 +221,7 @@ def _relative_position_bucket(
         return relative_buckets
 
     def compute_bias(self, query_length: int, key_length: int) -> FloatT:
-        """ Compute binned relative position bias """
+        """Compute binned relative position bias"""
         context_position = torch.arange(query_length, dtype=torch.long)[:, None]
         memory_position = torch.arange(key_length, dtype=torch.long)[None, :]
         relative_position = memory_position - context_position  # shape (query_length, key_length)
@@ -283,7 +283,7 @@ def unshape(states):
             return states.transpose(1, 2).contiguous().view(batch_size, -1, self.inner_dim)
 
         def project(hidden_states, proj_layer, key_value_states, past_key_value) -> FloatT:
-            """ projects hidden states correctly to key/query states """
+            """projects hidden states correctly to key/query states"""
             if key_value_states is None:
                 # self-attn
                 # (batch_size, num_heads, seq_length, dim_per_head)

dev-requirements.txt

@@ -7,7 +7,7 @@ flake8
 mypy==0.812
 
 # Automatic code formatting
-black==20.8b1
+black==21.5b1
 
 # Allows generation of coverage reports with pytest.
 pytest-cov

tests/data/vocabulary_test.py

@@ -700,7 +700,7 @@ def test_read_pretrained_words(self):
             )
 
     def test_from_instances_exclusive_embeddings_file_inside_archive(self):
-        """ Just for ensuring there are no problems when reading pretrained tokens from an archive """
+        """Just for ensuring there are no problems when reading pretrained tokens from an archive"""
         # Read embeddings file from archive
         archive_path = str(self.TEST_DIR / "embeddings-archive.zip")