Increase the maximum number of arguments (#27)

Set pylint to be more lenient.

.pylintrc

@@ -440,3 +440,6 @@ valid-metaclass-classmethod-first-arg=mcs
 overgeneral-exceptions=builtins.StandardError,
                        builtins.Exception,
                        builtins.BaseException
+
+# Set number of arguments for too-many-arguments
+max-args = 10

src/sedpack/io/dataset_iteration.py

@@ -261,7 +261,7 @@ def as_tfdataset(  # pylint: disable=too-many-arguments
 
         return tf_dataset
 
-    async def as_numpy_iterator_async(  # pylint: disable=too-many-arguments
+    async def as_numpy_iterator_async(
         self,
         *,
         split: SplitT,
@@ -354,7 +354,7 @@ async def as_numpy_iterator_async(  # pylint: disable=too-many-arguments
         async for example in example_iterator:
             yield example
 
-    def _as_numpy_common(  # pylint: disable=too-many-arguments
+    def _as_numpy_common(
         self,
         *,
         split: SplitT,
@@ -405,7 +405,7 @@ def _as_numpy_common(  # pylint: disable=too-many-arguments
                 buffer_size=len(shard_paths))
         return shard_paths_iterator
 
-    def as_numpy_iterator_concurrent(  # pylint: disable=too-many-arguments
+    def as_numpy_iterator_concurrent(
         self,
         *,
         split: SplitT,
@@ -508,7 +508,7 @@ def as_numpy_iterator_concurrent(  # pylint: disable=too-many-arguments
                             itertools.islice(shard_paths_iterator,
                                              file_parallelism))
 
-    def as_numpy_iterator(  # pylint: disable=too-many-arguments
+    def as_numpy_iterator(
         self,
         *,
         split: SplitT,