shortend step message and changed some levels

Author: MPMPMPMPMPMPMP

varipeps/config.py

@@ -236,23 +236,26 @@ class VariPEPS_Config:
       slurm_restart_mode (:obj:`Slurm_Restart_Mode`):
         Mode of operation to restart slurm job if maximal runtime is reached.
       log_level_global (:obj:`LogLevel`):
-        Global logging level.
+        Global logging level for the 'varipeps' package logger.
       log_level_optimizer (:obj:`LogLevel`):
-        Logging level for optimizer module.
+        Logging level for 'varipeps.optimizer'.
       log_level_ctmrg (:obj:`LogLevel`):
-        Logging level for CTMRG module.
+        Logging level for 'varipeps.ctmrg'.
       log_level_line_search (:obj:`LogLevel`):
-        Logging level for line search module.
+        Logging level for 'varipeps.line_search'.
       log_level_expectation (:obj:`LogLevel`):
-        Logging level for expectation value calculations.
+        Logging level for 'varipeps.expectation'.
       log_to_console (:obj:`bool`):
-        Enable logging to console.
+        Enable standard console logging (StreamHandler).
+        Ignored when :obj:`VariPEPS_Config.log_tqdm` is True.
       log_to_file (:obj:`bool`):
         Enable logging to file.
       log_file (:obj:`str`):
-        Filename for logging to file.
+        Filename for logging to file (used when :obj:`VariPEPS_Config.log_to_file` is True).
       log_tqdm (:obj:`bool`):
-        Enable tqdm-based console logging.
+        Enable tqdm-based console logging. If True, messages from
+        'varipeps.optimizer' update a tqdm progress bar, while other modules
+        log via tqdm.write. File logging settings still apply.
     """
 
     # AD config
@@ -347,7 +350,6 @@ class VariPEPS_Config:
     log_to_console: bool = True
     log_to_file: bool = False
     log_file: str = "varipeps.log"
-    log_step_summary_every_n: int = 1
     log_tqdm: bool = False              #: Enable tqdm-based console logging
 
     def update(self, name: str, value: Any) -> NoReturn:

varipeps/ctmrg/routine.py

@@ -766,8 +766,8 @@ def calc_ctmrg_env(
                 working_unitcell = working_unitcell.change_chi(new_chi)
                 initial_unitcell = initial_unitcell.change_chi(new_chi)
 
-                if logger.isEnabledFor(logging.WARNING):
-                    logger.warning(
+                if logger.isEnabledFor(logging.INFO):
+                    logger.info(
                         "Increasing chi to %d since smallest SVD Norm was %.3e.",
                         new_chi,
                         norm_smallest_S,
@@ -800,8 +800,8 @@ def calc_ctmrg_env(
             if not new_chi in already_tried_chi:
                 working_unitcell = working_unitcell.change_chi(new_chi)
 
-                if logger.isEnabledFor(logging.WARNING):
-                    logger.warning(
+                if logger.isEnabledFor(logging.info):
+                    logger.info(
                         "Decreasing chi to %d since smallest SVD Norm was %.3e or routine did not converge.",
                         new_chi,
                         norm_smallest_S,
@@ -824,8 +824,8 @@ def calc_ctmrg_env(
                 new_truncation_eps
                 <= varipeps_config.ctmrg_increase_truncation_eps_max_value
             ):
-                if logger.isEnabledFor(logging.WARNING):
-                    logger.warning(
+                if logger.isEnabledFor(logging.INFO):
+                    logger.info(
                         "Increasing SVD truncation eps to %.1e.",
                         new_truncation_eps,
                     )

varipeps/optimization/optimizer.py

@@ -1024,7 +1024,7 @@ def random_noise(a):
 
         step_str = f"{float(linesearch_step):0.3f}" if linesearch_step is not None else "None"
         logger.info(
-            "📉 Step %d | Energy: %.8f Δ: %.2e | Retries: %d | Conv: %.3e | Line search step: %s | Max. trunc. err.: %.1e χ: %d | Runtime: %.0f sec",
+            "📉 %4d | E=%.8f ΔE=%.2e | r=%d | |∇ψ|=%.2e | ls=%s | ε_tr=%.1e | χ=%d | t=%.0fs",
             int(count),
             float(working_value),
             -float(working_value - step_energies[random_noise_retries][-2]) if len(step_energies[random_noise_retries]) > 1 else 0.0,