Einstein msd verbose fix (#5153)

Replace bare `tqdm` with `ProgressBar` in `msd.py`

- fix #5144
- replaces bare `tqdm` with `ProgressBar` for `analysis/msd.py`
- adds appropriate `desc` for nested progressbars
- CHANGELOG updated

Author: spyke7

package/AUTHORS

@@ -263,6 +263,7 @@ Chronological list of authors
   - Amruthesh Thirumalaiswamy
   - Ch Zhang
   - Raúl Lois-Cuns  
+  - Shreejan Dolai
 
 External code
 -------------

package/CHANGELOG

@@ -31,6 +31,21 @@ Changes
 Deprecations
 
 
+11/24/25 IAlibay, orbeckst, marinegor, tylerjereddy, ljwoods2, marinegor, spyke7
+
+ * 2.11.0
+
+Fixes
+ * Fixes the verbose=False in EinsteinMSD, and only shows progress bar when 
+   verbose=True (Issue #5144, PR #5153)
+
+Changes
+ * The msd.py inside analysis is changed, and ProgressBar is implemented inside
+   _conclude_simple and _conclude_fft functions instead of tqdm (Issue #5144, PR #5153)
+
+Deprecations
+
+
 10/18/25 IAlibay, orbeckst, BHM-Bob, TRY-ER, Abdulrahman-PROG, pbuslaev,
          yuxuanzhuang, yuyuan871111, tanishy7777, tulga-rdn, Gareth-elliott,
          hmacdope, tylerjereddy, cbouy, talagayev, DrDomenicoMarson, amruthesht,

package/MDAnalysis/analysis/msd.py

@@ -247,9 +247,8 @@
 import numpy as np
 import logging
 from ..due import due, Doi
-from .base import AnalysisBase
+from .base import AnalysisBase, ProgressBar
 from ..core import groups
-from tqdm import tqdm
 import collections
 
 logger = logging.getLogger("MDAnalysis.analysis.msd")
@@ -416,7 +415,11 @@ def _conclude_simple(self):
         r"""Calculates the MSD via the simple "windowed" algorithm."""
         lagtimes = np.arange(1, self.n_frames)
         positions = self._position_array.astype(np.float64)
-        for lag in tqdm(lagtimes):
+        for lag in ProgressBar(
+            lagtimes,
+            verbose=self._verbose,
+            desc="Calculating MSD for lagtimes",
+        ):
             disp = positions[:-lag, :, :] - positions[lag:, :, :]
             sqdist = np.square(disp).sum(axis=-1)
             self.results.msds_by_particle[lag, :] = np.mean(sqdist, axis=0)
@@ -443,7 +446,11 @@ def _conclude_fft(self):  # with FFT, np.float64 bit prescision required.
             )
 
         positions = self._position_array.astype(np.float64)
-        for n in tqdm(range(self.n_particles)):
+        for n in ProgressBar(
+            range(self.n_particles),
+            verbose=self._verbose,
+            desc="Calculating MSD with FFT per particle",
+        ):
             self.results.msds_by_particle[:, n] = tidynamics.msd(
                 positions[:, n, :]
             )