Reduce logging messages and simplify logging (#2682)

* change log levels to debug and use torch.div

* Update Documentation & Code Style

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

haystack/document_stores/base.py

@@ -22,7 +22,7 @@
 try:
     from numba import njit  # pylint: disable=import-error
 except (ImportError, ModuleNotFoundError):
-    logger.info("Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'.")
+    logger.debug("Numba not found, replacing njit() with no-op implementation. Enable it with 'pip install numba'.")
 
     def njit(f):
         return f

haystack/modeling/model/optimization.py

@@ -28,14 +28,14 @@
 
     except AttributeError:
         APEX_PARALLEL_AVAILABLE = False
-        logger.info("apex.parallel not found, won't use it. See https://nvidia.github.io/apex/parallel.html")
+        logger.debug("apex.parallel not found, won't use it. See https://nvidia.github.io/apex/parallel.html")
 
     AMP_AVAILABLE = True
 
 except ImportError:
     AMP_AVAILABLE = False
     APEX_PARALLEL_AVAILABLE = False
-    logger.info("apex not found, won't use it. See https://nvidia.github.io/apex/")
+    logger.debug("apex not found, won't use it. See https://nvidia.github.io/apex/")
 
 
 class WrappedDataParallel(DataParallel):

haystack/modeling/model/prediction_head.py

@@ -480,7 +480,7 @@ def logits_to_preds(
 
         # The returned indices are then converted back to the original dimensionality of the matrix.
         # sorted_candidates.shape : (batch_size, max_seq_len^2, 2)
-        start_indices = flat_sorted_indices // max_seq_len
+        start_indices = torch.div(flat_sorted_indices, max_seq_len, rounding_mode="trunc")
         end_indices = flat_sorted_indices % max_seq_len
         sorted_candidates = torch.cat((start_indices, end_indices), dim=2)
 

haystack/nodes/file_classifier/file_type.py

@@ -7,7 +7,7 @@
 try:
     import magic
 except ImportError as ie:
-    logging.error(
+    logging.debug(
         "Failed to import 'magic' (from 'python-magic' and 'python-magic-bin' on Windows). "
         "FileTypeClassifier will not perform mimetype detection on extensionless files. "
         "Please make sure the necessary OS libraries are installed if you need this functionality."
@@ -64,6 +64,7 @@ def _estimate_extension(self, file_path: Path) -> str:
         except NameError as ne:
             logger.error(
                 f"The type of '{file_path}' could not be guessed, probably because 'python-magic' is not installed. Ignoring this error."
+                "Please make sure the necessary OS libraries are installed if you need this functionality ('python-magic' or 'python-magic-bin' on Windows)."
             )
             return ""