Merge pull request #170 from ArnauMiro/169-remove_tqdm

removed tqdm

Author: DavidRamosArchilla

Diff for: Examples/example_dataset.py

@@ -61,9 +61,8 @@
         'var2' : {'idim':1,'value':var2},
     },
     # Now we add the fields, i.e., the actual data to compute
-    # things. So K has ndim = 2 as there are two extra dimensions
-    # other than the number of points
-    K = {'ndim':2,'value':K}
+    # things. So K has ndim = 1 as there is only one field
+    K = {'ndim':1,'value':K}
 )
 print(d)
 

Diff for: pyLOM/NN/utils.py

@@ -13,7 +13,6 @@
 from torch            import Generator, randperm, default_generator
 from itertools        import product, accumulate
 from typing           import List, Optional, Tuple, cast, Sequence, Union, Callable
-from tqdm             import tqdm
 
 from .                import DEVICE
 from ..utils.cr       import cr
@@ -688,8 +687,7 @@ def map(self, function: Callable, fn_kwargs: dict = {}, batched: bool = False, b
 
         if not batched:
             batch_size = 1
-        pbar = tqdm(range(0, len(self), batch_size), desc="Mapping dataset", unit="iters")
-        for i in pbar:
+        for i in range(0, len(self), batch_size):
             batch = self[i:i + batch_size]
             if self.variables_in is not None:
                 inputs, outputs = batch
@@ -733,8 +731,7 @@ def filter(
         if not batched:
             batch_size = 1
         indices = []
-        pbar = tqdm(range(0, len(self), batch_size), desc="Filtering dataset", unit="iters")
-        for i in pbar:
+        for i in range(0, len(self), batch_size):
             batch = self[i:i + batch_size]
             if self.variables_in is not None:
                 inputs, outputs = batch