task: metadata: install: pip install -e .[bumps,DFO,gradient_free,minuit,SAS,numdifftools,lmfit,nlopt]
patch: diff --git a/fitbenchmarking/core/fitting_benchmarking.py b/fitbenchmarking/core/fitting_benchmarking.py
index d064c0d0..a31f1f55 100644
--- a/fitbenchmarking/core/fitting_benchmarking.py
+++ b/fitbenchmarking/core/fitting_benchmarking.py
@@ -8,7 +8,6 @@ import os
 import timeit
 import warnings
 
-from contextlib import nullcontext
 import numpy as np
 from codecarbon import EmissionsTracker
 from tqdm import tqdm, trange
@@ -126,6 +125,13 @@ def loop_over_benchmark_problems(problem_group, options, checkpointer):
             problems.append((p, parsed_problem))
 
     name_index = {key: 0 for key in name_count}
+
+    track_emissions = 'emissions' in options.table_type
+    if track_emissions:
+        emissions_tracker = EmissionsTracker()
+    else:
+        emissions_tracker = None
+
     LOGGER.info('Running problems')
 
     if options.pbar:
@@ -156,14 +162,19 @@ def loop_over_benchmark_problems(problem_group, options, checkpointer):
                 loop_over_starting_values(problem,
                                           options=options,
                                           grabbed_output=grabbed_output,
-                                          checkpointer=checkpointer)
+                                          checkpointer=checkpointer,
+                                          emissions_tracker=emissions_tracker)
             results.extend(problem_results)
             failed_problems.extend(problem_fails)
 
+            if emissions_tracker:
+                _ = emissions_tracker.stop()
+
     return results, failed_problems, unselected_minimizers
 
 
-def loop_over_starting_values(problem, options, grabbed_output, checkpointer):
+def loop_over_starting_values(problem, options, grabbed_output, checkpointer,
+                              emissions_tracker):
     """
     Loops over starting values from the fitting problem.
 
@@ -209,7 +220,8 @@ def loop_over_starting_values(problem, options, grabbed_output, checkpointer):
                                     options=options,
                                     start_values_index=index,
                                     grabbed_output=grabbed_output,
-                                    checkpointer=checkpointer)
+                                    checkpointer=checkpointer,
+                                    emissions_tracker=emissions_tracker)
 
         # Checks to see if all of the minimizers from every software raised an
         # exception and record the problem name if that is the case
@@ -226,7 +238,7 @@ def loop_over_starting_values(problem, options, grabbed_output, checkpointer):
 
 
 def loop_over_cost_function(problem, options, start_values_index,
-                            grabbed_output, checkpointer):
+                            grabbed_output, checkpointer, emissions_tracker):
     """
     Run benchmarking for each cost function given in options.
 
@@ -266,14 +278,16 @@ def loop_over_cost_function(problem, options, start_values_index,
                                        options=options,
                                        start_values_index=start_values_index,
                                        grabbed_output=grabbed_output,
-                                       checkpointer=checkpointer)
+                                       checkpointer=checkpointer,
+                                       emissions_tracker=emissions_tracker)
         problem_results.extend(individual_problem_results)
 
     return problem_results, unselected_minimizers
 
 
-def loop_over_fitting_software(cost_func, options, start_values_index,
-                               grabbed_output, checkpointer):
+def loop_over_fitting_software(cost_func, options,
+                               start_values_index, grabbed_output,
+                               checkpointer, emissions_tracker):
     """
     Loops over fitting software selected in the options
 
@@ -330,7 +344,8 @@ def loop_over_fitting_software(cost_func, options, start_values_index,
                                  minimizers=minimizers,
                                  options=options,
                                  grabbed_output=grabbed_output,
-                                 checkpointer=checkpointer)
+                                 checkpointer=checkpointer,
+                                 emissions_tracker=emissions_tracker)
 
         unselected_minimizers[s] = minimizer_failed
         results.extend(problem_result)
@@ -338,7 +353,7 @@ def loop_over_fitting_software(cost_func, options, start_values_index,
 
 
 def loop_over_minimizers(controller, minimizers, options, grabbed_output,
-                         checkpointer):
+                         checkpointer, emissions_tracker):
     """
     Loops over minimizers in fitting software
 
@@ -404,13 +419,15 @@ def loop_over_minimizers(controller, minimizers, options, grabbed_output,
             results = loop_over_jacobians(controller,
                                           options=options,
                                           grabbed_output=grabbed_output,
-                                          checkpointer=checkpointer)
+                                          checkpointer=checkpointer,
+                                          emissions_tracker=emissions_tracker)
             results_problem.extend(results)
 
     return results_problem, minimizer_failed
 
 
-def loop_over_jacobians(controller, options, grabbed_output, checkpointer):
+def loop_over_jacobians(controller, options, grabbed_output, checkpointer,
+                        emissions_tracker):
     """
     Loops over Jacobians set from the options file
 
@@ -460,10 +477,13 @@ def loop_over_jacobians(controller, options, grabbed_output, checkpointer):
                 #######################
                 # Loops over Hessians #
                 #######################
-                new_result = loop_over_hessians(controller,
-                                                options=options,
-                                                grabbed_output=grabbed_output,
-                                                checkpointer=checkpointer)
+                new_result = loop_over_hessians(
+                    controller,
+                    options=options,
+                    grabbed_output=grabbed_output,
+                    checkpointer=checkpointer,
+                    emissions_tracker=emissions_tracker
+                )
 
                 results.extend(new_result)
                 # For minimizers that do not accept jacobians we raise an
@@ -478,7 +498,8 @@ def loop_over_jacobians(controller, options, grabbed_output, checkpointer):
     return results
 
 
-def loop_over_hessians(controller, options, grabbed_output, checkpointer):
+def loop_over_hessians(controller, options, grabbed_output, checkpointer,
+                       emissions_tracker):
     """
     Loops over Hessians set from the options file
 
@@ -533,7 +554,7 @@ def loop_over_hessians(controller, options, grabbed_output, checkpointer):
 
             # Perform the fit a number of times specified by num_runs
             accuracy, runtimes, emissions = perform_fit(
-                controller, options, grabbed_output)
+                controller, options, grabbed_output, emissions_tracker)
             result_args = {'controller': controller,
                            'accuracy': accuracy,
                            'runtimes': runtimes,
@@ -561,7 +582,7 @@ def loop_over_hessians(controller, options, grabbed_output, checkpointer):
     return new_result
 
 
-def perform_fit(controller, options, grabbed_output):
+def perform_fit(controller, options, grabbed_output, emissions_tracker):
     """
     Performs a fit using the provided controller and its data. It
     will be run a number of times specified by num_runs.
@@ -577,24 +598,19 @@ def perform_fit(controller, options, grabbed_output):
     """
     num_runs = options.num_runs
 
-    track_emissions = 'emissions' in options.table_type
-    if track_emissions:
-        emissions_tracker = EmissionsTracker()
-    else:
-        emissions_tracker = nullcontext()
-    emissions = np.inf
+    emissions = np.nan
     try:
         with grabbed_output:
             controller.validate()
             controller.prepare()
-            with emissions_tracker:
-                # Calls timeit repeat with repeat = num_runs and number = 1
-                runtimes = timeit.Timer(
-                    stmt=controller.execute
-                ).repeat(num_runs, 1)
-            if track_emissions:
+            if emissions_tracker:
+                emissions_tracker.start_task()
+            runtimes = timeit.Timer(
+                stmt=controller.execute
+            ).repeat(num_runs, 1)
+            if emissions_tracker:
                 # stop emissions tracking after all runs have completed
-                emissions = emissions_tracker.final_emissions / num_runs
+                emissions = emissions_tracker.stop_task().emissions / num_runs
 
             controller.cleanup()
             controller.check_attributes()
@@ -650,6 +666,10 @@ def perform_fit(controller, options, grabbed_output):
     # Reset the controller timer once exceptions have been handled
     controller.timer.reset()
 
+    # ensure emissions tracker has been stopped if emissions not set
+    if emissions == np.nan and emissions_tracker:
+        _ = emissions_tracker.stop_task()
+
     if controller.flag in [3, 6, 7]:
         # If there was an exception, set the runtimes and
         # cost function value to be infinite
diff --git a/setup.py b/setup.py
index b1abdcd7..55efd924 100644
--- a/setup.py
+++ b/setup.py
@@ -30,7 +30,7 @@ setup(
                       'pandas>=1.3',
                       'jinja2',
                       'configparser',
-                      'codecarbon<2.2.4',
+                      'codecarbon>=2.3.4',
                       'dash'],
     extras_require={'DFO': ['DFO-LS', 'dfogn'],
                     'SAS': ['sasmodels',

problem_statement: Update emissions tracking to use new codecarbon features
The emissions tracking in FitBenchmarking is currently verrrry slow due to the fact that a new `EmissionsTracker` object is created for each minimizer. A new version of codecarbon now includes a task manager to track emissions of small pieces of code [outlined here](https://mlco2.github.io/codecarbon/usage.html#explicit-object) - we should use this in Fitbenchmarking.
repo: fitbenchmarking/fitbenchmarking
test_cmd: pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
test_patch: diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_benchmark_problems.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_benchmark_problems.py
index 23f9bc15..856cc874 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_benchmark_problems.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_benchmark_problems.py
@@ -66,6 +66,7 @@ class LoopOverBenchmarkProblemsTests(unittest.TestCase):
         """
         cost_func = make_cost_function()
         self.options = Options()
+        self.options.table_type = ['acc', 'runtime', 'compare', 'local_min']
         self.options.software = ["scipy"]
         scipy_len = len(self.options.minimizers["scipy"])
         bench_prob_dir = os.path.dirname(inspect.getfile(test_files))
diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_hessians.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_hessians.py
index be8d2d39..e2168aeb 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_hessians.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_hessians.py
@@ -117,7 +117,6 @@ class LoopOverHessiansTests(unittest.TestCase):
         self.grabbed_output = output_grabber.OutputGrabber(self.options)
         self.controller.parameter_set = 0
         self.cp = Checkpoint(self.options)
-        self.options.table_type = ['acc', 'runtime', 'compare', 'local_min']
 
     def tearDown(self) -> None:
         """
@@ -135,7 +134,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         _ = loop_over_hessians(self.controller,
                                options=self.options,
                                grabbed_output=self.grabbed_output,
-                               checkpointer=self.cp)
+                               checkpointer=self.cp,
+                               emissions_tracker=None)
         self.assertEqual(self.controller.count, 1)
 
     @patch.object(DummyController, "check_bounds_respected")
@@ -152,7 +152,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         _ = loop_over_hessians(self.controller,
                                options=self.options,
                                grabbed_output=self.grabbed_output,
-                               checkpointer=self.cp)
+                               checkpointer=self.cp,
+                               emissions_tracker=None)
         check_bounds_respected.assert_called()
 
     @patch.object(DummyController, "check_bounds_respected")
@@ -169,7 +170,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         _ = loop_over_hessians(self.controller,
                                options=self.options,
                                grabbed_output=self.grabbed_output,
-                               checkpointer=self.cp)
+                               checkpointer=self.cp,
+                               emissions_tracker=None)
         check_bounds_respected.assert_not_called()
 
     def test_max_runtime_exceeded(self):
@@ -191,7 +193,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         results = loop_over_hessians(controller,
                                      options=options,
                                      grabbed_output=grabbed_output,
-                                     checkpointer=self.cp)
+                                     checkpointer=self.cp,
+                                     emissions_tracker=None)
         self.assertEqual(results[0].error_flag, 6)
 
     @patch.object(DummyController, "eval_chisq")
@@ -207,7 +210,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         _ = loop_over_hessians(self.controller,
                                options=self.options,
                                grabbed_output=self.grabbed_output,
-                               checkpointer=self.cp)
+                               checkpointer=self.cp,
+                               emissions_tracker=None)
         eval_chisq.assert_called_once()
 
     @patch.object(DummyController, "eval_confidence")
@@ -224,7 +228,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         _ = loop_over_hessians(self.controller,
                                options=self.options,
                                grabbed_output=self.grabbed_output,
-                               checkpointer=self.cp)
+                               checkpointer=self.cp,
+                               emissions_tracker=None)
         eval_confidence.assert_called_once()
 
     @run_for_test_types(TEST_TYPE, 'all')
@@ -249,7 +254,8 @@ class LoopOverHessiansTests(unittest.TestCase):
         results = loop_over_hessians(controller=controller,
                                      options=options,
                                      grabbed_output=grabbed_output,
-                                     checkpointer=self.cp)
+                                     checkpointer=self.cp,
+                                     emissions_tracker=None)
         self.assertTrue(len(results) == 2)
 
 
diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_jacobians.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_jacobians.py
index e5449969..7ff33c87 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_jacobians.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_jacobians.py
@@ -120,7 +120,8 @@ class LoopOverJacobiansTests(unittest.TestCase):
         _ = loop_over_jacobians(self.controller,
                                 options=self.options,
                                 grabbed_output=self.grabbed_output,
-                                checkpointer=self.cp)
+                                checkpointer=self.cp,
+                                emissions_tracker=None)
         loop_over_hessians.assert_called_once()
 
     @patch(f'{FITTING_DIR}.loop_over_hessians')
@@ -135,7 +136,8 @@ class LoopOverJacobiansTests(unittest.TestCase):
         _ = loop_over_jacobians(self.controller,
                                 options=self.options,
                                 grabbed_output=self.grabbed_output,
-                                checkpointer=self.cp)
+                                checkpointer=self.cp,
+                                emissions_tracker=None)
         self.assertEqual(loop_over_hessians.call_count, 2)
 
 
diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_minimizers.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_minimizers.py
index b27ca1e0..76d4518f 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_minimizers.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_minimizers.py
@@ -123,7 +123,8 @@ class LoopOverMinimizersTests(unittest.TestCase):
                                  self.minimizers,
                                  options=self.options,
                                  grabbed_output=self.grabbed_output,
-                                 checkpointer=self.cp)
+                                 checkpointer=self.cp,
+                                 emissions_tracker=None)
         assert results_problem == []
         assert minimizer_failed == self.minimizers
 
@@ -142,7 +143,8 @@ class LoopOverMinimizersTests(unittest.TestCase):
                                  self.minimizers,
                                  options=self.options,
                                  grabbed_output=self.grabbed_output,
-                                 checkpointer=self.cp)
+                                 checkpointer=self.cp,
+                                 emissions_tracker=None)
         assert all(isinstance(x, fitbm_result.FittingResult)
                    for x in results_problem)
         assert minimizer_failed == ["deriv_free_algorithm"]
@@ -161,7 +163,8 @@ class LoopOverMinimizersTests(unittest.TestCase):
                                  self.minimizers,
                                  options=self.options,
                                  grabbed_output=self.grabbed_output,
-                                 checkpointer=self.cp)
+                                 checkpointer=self.cp,
+                                 emissions_tracker=None)
         assert all(isinstance(x, fitbm_result.FittingResult)
                    for x in results_problem)
         assert minimizer_failed == []
@@ -180,7 +183,8 @@ class LoopOverMinimizersTests(unittest.TestCase):
                                  self.minimizers,
                                  options=self.options,
                                  grabbed_output=self.grabbed_output,
-                                 checkpointer=self.cp)
+                                 checkpointer=self.cp,
+                                 emissions_tracker=None)
 
         assert results_problem[0].error_flag == 4
         assert minimizer_failed == []
diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_software.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_software.py
index e8904e63..bdd549cd 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_software.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_software.py
@@ -105,7 +105,8 @@ class LoopOverSoftwareTests(unittest.TestCase):
                 options=self.options,
                 start_values_index=self.start_values_index,
                 grabbed_output=self.grabbed_output,
-                checkpointer=self.cp)
+                checkpointer=self.cp,
+                emissions_tracker=None)
         assert len(results) == expected_list_len
 
         dict_test(unselected_minimzers, expected_minimizer_failed)
@@ -207,7 +208,8 @@ class LoopOverSoftwareTests(unittest.TestCase):
                 options=self.options,
                 start_values_index=self.start_values_index,
                 grabbed_output=self.grabbed_output,
-                checkpointer=self.cp)
+                checkpointer=self.cp,
+                emissions_tracker=None)
 
 
 if __name__ == "__main__":
diff --git a/fitbenchmarking/core/tests/test_fitting_benchmarking_starting_values.py b/fitbenchmarking/core/tests/test_fitting_benchmarking_starting_values.py
index b8cc3ae4..ffb4a325 100644
--- a/fitbenchmarking/core/tests/test_fitting_benchmarking_starting_values.py
+++ b/fitbenchmarking/core/tests/test_fitting_benchmarking_starting_values.py
@@ -105,7 +105,8 @@ class LoopOverStartingValuesTests(unittest.TestCase):
             = loop_over_starting_values(self.problem,
                                         options=self.options,
                                         grabbed_output=self.grabbed_output,
-                                        checkpointer=self.cp)
+                                        checkpointer=self.cp,
+                                        emissions_tracker=None)
         assert len(problem_results) == expected_list_len
         assert problem_fails == expected_problem_fails