              (`hours`, `minutes`, `seconds`) as ints
          """
          hrs = int(timestamp // 3600)
          if hrs < 10:
              hrs = "{0:02d}".format(hrs)
          mins = "{0:02d}".format((int(timestamp % 3600) // 60))
          secs = "{0:02d}".format((int(timestamp % 3600) % 60))
          return hrs, mins, secs
  
  
  class Calculations():
      """ Class that performs calculations on the :class:`GlobalSession` raw data for the given
 
</s> remove             stats = dict()
 </s> add             stats = {} </s> remove         samples = list()
 </s> add         samples = [] </s> remove         data = dict()
 </s> add         data = {} </s> remove             predictions = [preds["{0}_{0}".format(side)],
                           preds["{}_{}".format(other_side, side)]]
 </s> add             predictions = [preds[f"{side}_{side}"],
                           preds[f"{other_side}_{side}"]] </s> remove         self.output.info("Setup in %s %s" % (self.os_version[0], self.os_version[1]))
 </s> add         self.output.info(f"Setup in {self.os_version[0]} {self.os_version[1]}")
            hrs = f"{hrs:02d}"
        mins = f"{(int(timestamp % 3600) // 60):02d}"
        secs = f"{(int(timestamp % 3600) % 60):02d}"
              (`hours`, `minutes`, `seconds`) as ints
          """
          hrs = int(timestamp // 3600)
          if hrs < 10:
            hrs = f"{hrs:02d}"
        mins = f"{(int(timestamp % 3600) // 60):02d}"
        secs = f"{(int(timestamp % 3600) % 60):02d}"
            hrs = f"{hrs:02d}"
        mins = f"{(int(timestamp % 3600) // 60):02d}"
        secs = f"{(int(timestamp % 3600) % 60):02d}"
            hrs = f"{hrs:02d}"
        mins = f"{(int(timestamp % 3600) // 60):02d}"
        secs = f"{(int(timestamp % 3600) % 60):02d}"
          return hrs, mins, secs
  
  
  class Calculations():
      """ Class that performs calculations on the :class:`GlobalSession` raw data for the given
keep keep keep keep replace replace replace keep keep keep keep keep
 Update code to support Tensorflow versions up to 2.8 (#1213)

* Update maximum tf version in setup + requirements

* - bump max version of tf version in launcher
- standardise tf version check

* update keras get_custom_objects  for tf>2.6

* bugfix: force black text in GUI file dialogs (linux)

* dssim loss - Move to stock tf.ssim function

* Update optimizer imports for compatibility

* fix logging for tf2.8

* Fix GUI graphing for TF2.8

* update tests

* bump requirements.txt versions

* Remove limit on nvidia-ml-py

* Graphing bugfixes
  - Prevent live graph from displaying if data not yet available

* bugfix: Live graph. Collect loss labels correctly

* fix: live graph - swallow inconsistent loss errors

* Bugfix: Prevent live graph from clearing during training

* Fix graphing for AMD 
lib/gui/analysis/stats.py