Upgrade black to version ~=22.0 (#15565)

* Upgrade black to version ~=22.0

* Check copies

* Fix code

examples/research_projects/distillation/run_squad_w_distillation.py

@@ -229,20 +229,14 @@ def train(args, train_dataset, model, tokenizer, teacher=None):
                 assert end_logits_tea.size() == end_logits_stu.size()
 
                 loss_fct = nn.KLDivLoss(reduction="batchmean")
-                loss_start = (
-                    loss_fct(
+                loss_start = loss_fct(
                     nn.functional.log_softmax(start_logits_stu / args.temperature, dim=-1),
                     nn.functional.softmax(start_logits_tea / args.temperature, dim=-1),
-                    )
-                    * (args.temperature ** 2)
-                )
-                loss_end = (
-                    loss_fct(
+                ) * (args.temperature**2)
+                loss_end = loss_fct(
                     nn.functional.log_softmax(end_logits_stu / args.temperature, dim=-1),
                     nn.functional.softmax(end_logits_tea / args.temperature, dim=-1),
-                    )
-                    * (args.temperature ** 2)
-                )
+                ) * (args.temperature**2)
                 loss_ce = (loss_start + loss_end) / 2.0
 
                 loss = args.alpha_ce * loss_ce + args.alpha_squad * loss

examples/research_projects/movement-pruning/masked_run_glue.py

@@ -285,14 +285,11 @@ def train(args, train_dataset, model, tokenizer, teacher=None):
                         attention_mask=inputs["attention_mask"],
                     )
 
-                loss_logits = (
-                    nn.functional.kl_div(
+                loss_logits = nn.functional.kl_div(
                     input=nn.functional.log_softmax(logits_stu / args.temperature, dim=-1),
                     target=nn.functional.softmax(logits_tea / args.temperature, dim=-1),
                     reduction="batchmean",
-                    )
-                    * (args.temperature ** 2)
-                )
+                ) * (args.temperature**2)
 
                 loss = args.alpha_distil * loss_logits + args.alpha_ce * loss
 

examples/research_projects/movement-pruning/masked_run_squad.py

@@ -306,22 +306,16 @@ def train(args, train_dataset, model, tokenizer, teacher=None):
                         attention_mask=inputs["attention_mask"],
                     )
 
-                loss_start = (
-                    nn.functional.kl_div(
+                loss_start = nn.functional.kl_div(
                     input=nn.functional.log_softmax(start_logits_stu / args.temperature, dim=-1),
                     target=nn.functional.softmax(start_logits_tea / args.temperature, dim=-1),
                     reduction="batchmean",
-                    )
-                    * (args.temperature ** 2)
-                )
-                loss_end = (
-                    nn.functional.kl_div(
+                ) * (args.temperature**2)
+                loss_end = nn.functional.kl_div(
                     input=nn.functional.log_softmax(end_logits_stu / args.temperature, dim=-1),
                     target=nn.functional.softmax(end_logits_tea / args.temperature, dim=-1),
                     reduction="batchmean",
-                    )
-                    * (args.temperature ** 2)
-                )
+                ) * (args.temperature**2)
                 loss_logits = (loss_start + loss_end) / 2.0
 
                 loss = args.alpha_distil * loss_logits + args.alpha_ce * loss

setup.py

@@ -93,7 +93,7 @@ if stale_egg_info.exists():
 # 2. once modified, run: `make deps_table_update` to update src/transformers/dependency_versions_table.py
 _deps = [
     "Pillow",
-    "black==21.4b0",
+    "black~=22.0",
     "codecarbon==1.2.0",
     "cookiecutter==1.7.2",
     "dataclasses",
@@ -166,7 +166,7 @@ _deps = [
 # packaging: "packaging"
 #
 # some of the values are versioned whereas others aren't.
-deps = {b: a for a, b in (re.findall(r"^(([^!=<>]+)(?:[!=<>].*)?$)", x)[0] for x in _deps)}
+deps = {b: a for a, b in (re.findall(r"^(([^!=<>~]+)(?:[!=<>~].*)?$)", x)[0] for x in _deps)}
 
 # since we save this data in src/transformers/dependency_versions_table.py it can be easily accessed from
 # anywhere. If you need to quickly access the data from this table in a shell, you can do so easily with:

src/transformers/commands/add_new_model_like.py

@@ -292,7 +292,7 @@ def replace_model_patterns(
         attributes_to_check.append("model_type")
     else:
         text = re.sub(
-            fr'(\s*)model_type = "{old_model_patterns.model_type}"',
+            rf'(\s*)model_type = "{old_model_patterns.model_type}"',
             r'\1model_type = "[MODEL_TYPE]"',
             text,
         )
@@ -301,8 +301,8 @@ def replace_model_patterns(
     # not the new one. We can't just do a replace in all the text and will need a special regex
     if old_model_patterns.model_upper_cased == old_model_patterns.model_camel_cased:
         old_model_value = old_model_patterns.model_upper_cased
-        if re.search(fr"{old_model_value}_[A-Z_]*[^A-Z_]", text) is not None:
-            text = re.sub(fr"{old_model_value}([A-Z_]*)([^a-zA-Z_])", r"[MODEL_UPPER_CASED]\1\2", text)
+        if re.search(rf"{old_model_value}_[A-Z_]*[^A-Z_]", text) is not None:
+            text = re.sub(rf"{old_model_value}([A-Z_]*)([^a-zA-Z_])", r"[MODEL_UPPER_CASED]\1\2", text)
     else:
         attributes_to_check.append("model_upper_cased")
 
@@ -750,8 +750,8 @@ def clean_frameworks_in_init(
         return
 
     remove_pattern = "|".join(to_remove)
-    re_conditional_imports = re.compile(fr"^\s*if is_({remove_pattern})_available\(\):\s*$")
-    re_is_xxx_available = re.compile(fr"is_({remove_pattern})_available")
+    re_conditional_imports = re.compile(rf"^\s*if is_({remove_pattern})_available\(\):\s*$")
+    re_is_xxx_available = re.compile(rf"is_({remove_pattern})_available")
 
     with open(init_file, "r", encoding="utf-8") as f:
         content = f.read()
@@ -831,7 +831,7 @@ def add_model_to_main_init(
         if framework is not None and frameworks is not None and framework not in frameworks:
             new_lines.append(lines[idx])
             idx += 1
-        elif re.search(fr'models.{old_model_patterns.model_lower_cased}( |")', lines[idx]) is not None:
+        elif re.search(rf'models.{old_model_patterns.model_lower_cased}( |")', lines[idx]) is not None:
             block = [lines[idx]]
             indent = find_indent(lines[idx])
             idx += 1

src/transformers/dependency_versions_table.py

@@ -3,7 +3,7 @@
 # 2. run `make deps_table_update``
 deps = {
     "Pillow": "Pillow",
-    "black": "black==21.4b0",
+    "black": "black~=22.0",
     "codecarbon": "codecarbon==1.2.0",
     "cookiecutter": "cookiecutter==1.7.2",
     "dataclasses": "dataclasses",

src/transformers/models/longformer/modeling_tf_longformer.py

@@ -405,13 +405,10 @@ def _compute_global_attention_mask(input_ids_shape, sep_token_indices, before_se
     else:
         # last token is separation token and should not be counted and in the middle are two separation tokens
         question_end_index = tf.tile(question_end_index + 1, (1, input_ids_shape[1]))
-        attention_mask = (
-            tf.cast(
+        attention_mask = tf.cast(
             attention_mask > question_end_index,
             dtype=question_end_index.dtype,
-            )
-            * tf.cast(attention_mask < input_ids_shape[-1], dtype=question_end_index.dtype)
-        )
+        ) * tf.cast(attention_mask < input_ids_shape[-1], dtype=question_end_index.dtype)
 
     return attention_mask
 

tests/test_utils_check_copies.py

@@ -68,7 +68,8 @@ class CopyCheckTester(unittest.TestCase):
         code = comment + f"\nclass {class_name}(nn.Module):\n" + class_code
         if overwrite_result is not None:
             expected = comment + f"\nclass {class_name}(nn.Module):\n" + overwrite_result
-        code = black.format_str(code, mode=black.FileMode([black.TargetVersion.PY35], line_length=119))
+        mode = black.Mode(target_versions={black.TargetVersion.PY35}, line_length=119)
+        code = black.format_str(code, mode=mode)
         fname = os.path.join(self.transformer_dir, "new_code.py")
         with open(fname, "w", newline="\n") as f:
             f.write(code)

utils/check_copies.py

@@ -88,7 +88,7 @@ def find_code_in_transformers(object_name):
     line_index = 0
     for name in parts[i + 1 :]:
         while (
-            line_index < len(lines) and re.search(fr"^{indent}(class|def)\s+{name}(\(|\:)", lines[line_index]) is None
+            line_index < len(lines) and re.search(rf"^{indent}(class|def)\s+{name}(\(|\:)", lines[line_index]) is None
         ):
             line_index += 1
         indent += "    "
@@ -130,7 +130,8 @@ def blackify(code):
     has_indent = len(get_indent(code)) > 0
     if has_indent:
         code = f"class Bla:\n{code}"
-    result = black.format_str(code, mode=black.FileMode([black.TargetVersion.PY35], line_length=119))
+    mode = black.Mode(target_versions={black.TargetVersion.PY35}, line_length=119)
+    result = black.format_str(code, mode=mode)
     result, _ = style_docstrings_in_code(result)
     return result[len("class Bla:\n") :] if has_indent else result
 

utils/get_modified_files.py

@@ -28,7 +28,7 @@ fork_point_sha = subprocess.check_output("git merge-base master HEAD".split()).d
 modified_files = subprocess.check_output(f"git diff --name-only {fork_point_sha}".split()).decode("utf-8").split()
 
 joined_dirs = "|".join(sys.argv[1:])
-regex = re.compile(fr"^({joined_dirs}).*?\.py$")
+regex = re.compile(rf"^({joined_dirs}).*?\.py$")
 
 relevant_modified_files = [x for x in modified_files if regex.match(x)]
 print(" ".join(relevant_modified_files), end="")

utils/style_doc.py

@@ -147,9 +147,8 @@ def format_code_example(code: str, max_len: int, in_docstring: bool = False):
     for k, v in BLACK_AVOID_PATTERNS.items():
         full_code = full_code.replace(k, v)
     try:
-        formatted_code = black.format_str(
-            full_code, mode=black.FileMode([black.TargetVersion.PY37], line_length=line_length)
-        )
+        mode = black.Mode(target_versions={black.TargetVersion.PY37}, line_length=line_length)
+        formatted_code = black.format_str(full_code, mode=mode)
         error = ""
     except Exception as e:
         formatted_code = full_code