REFACTOR-#4510: Align experimental and regular IO modules initializations (#4511)

Signed-off-by: alexander3774 <[email protected]>

Author: alexander3774

docs/release_notes/release_notes-0.15.0.rst

@@ -38,6 +38,7 @@ Key Features and Updates
   * REFACTOR-#3642: Move PyArrow storage format usage from main feature to experimental ones (#4374)
   * REFACTOR-#4003: Delete the deprecated cloud mortgage example (#4406)
   * REFACTOR-#4513: Fix spelling mistakes in docs and docstrings (#4514)
+  * REFACTOR-#4510: Align experimental and regular IO modules initializations (#4511)
 * Pandas API implementations and improvements
   *
 * OmniSci enhancements

modin/experimental/pandas/io.py

@@ -24,7 +24,6 @@
 
 from . import DataFrame
 from modin.config import IsExperimental, Engine
-from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
 from ...pandas import _update_engine
 
 
@@ -96,9 +95,13 @@ def read_sql(
     -------
     modin.DataFrame
     """
+    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     Engine.subscribe(_update_engine)
+    from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
+
     assert IsExperimental.get(), "This only works in experimental mode"
-    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     return DataFrame(query_compiler=FactoryDispatcher.read_sql(**kwargs))
 
 
@@ -137,9 +140,13 @@ def read_custom_text(
     -------
     modin.DataFrame
     """
+    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     Engine.subscribe(_update_engine)
+    from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
+
     assert IsExperimental.get(), "This only works in experimental mode"
-    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     return DataFrame(query_compiler=FactoryDispatcher.read_custom_text(**kwargs))
 
 
@@ -265,6 +272,7 @@ def _read(**kwargs) -> DataFrame:
     [4652013 rows x 18 columns]
     """
     Engine.subscribe(_update_engine)
+    from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
 
     try:
         pd_obj = FactoryDispatcher.read_csv_glob(**kwargs)
@@ -322,9 +330,13 @@ def read_pickle_distributed(
     -----
     The number of partitions is equal to the number of input files.
     """
+    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     Engine.subscribe(_update_engine)
+    from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
+
     assert IsExperimental.get(), "This only works in experimental mode"
-    _, _, _, kwargs = inspect.getargvalues(inspect.currentframe())
+
     return DataFrame(query_compiler=FactoryDispatcher.read_pickle_distributed(**kwargs))
 
 
@@ -369,6 +381,8 @@ def to_pickle_distributed(
     """
     obj = self
     Engine.subscribe(_update_engine)
+    from modin.core.execution.dispatching.factories.dispatcher import FactoryDispatcher
+
     if isinstance(self, DataFrame):
         obj = self._query_compiler
     FactoryDispatcher.to_pickle_distributed(