[tune] Refactor search algorithms (#7037)

* start refactoring of search algorithms

* format

* needs tests

* fix

* suggestions

* Fix PBT

* lint

* refactoring

* hyperopt_working

* dragonfly

* hyperopt

* change_half_of_algs

* save

* code-removed

* remove_lots_of_unneccessary

* changes

* formatting

* suggest

* reset

* rm

* tests

* search-change

* exception

* refactor-doc

* search

* py

* moredocs

* Update doc/source/tune-searchalg.rst

* concurrency

* max

* tune

* betterwarning

* bohb

* tests

* test-change

Co-authored-by: ujvl <misraujval@gmail.com>

python/ray/tune/automl/search_policy.py

@@ -130,11 +130,7 @@ class AutoMLSearcher(SearchAlgorithm):
                     > self.best_trial.best_result[self.reward_attr]):
             self.best_trial = self._running_trials[trial_id]
 
-    def on_trial_complete(self,
-                          trial_id,
-                          result=None,
-                          error=False,
-                          early_terminated=False):
+    def on_trial_complete(self, trial_id, result=None, error=False):
         self.on_trial_result(trial_id, result)
         self._unfinished_count -= 1
         if self._unfinished_count == 0: