chore(deps): update dependency mypy to v1

deepdog/subset_simulation/subset_simulation_impl.py

@@ -143,39 +143,6 @@ class SubsetSimulation:
 						delimiter=",",
 					)
 
-				next_seeds_as_array = numpy.array([s for _, s in next_seeds])
-				stdevs = self.get_stdevs_from_arrays(next_seeds_as_array)
-				_logger.info(f"got stdevs: {stdevs.stdevs}")
-				all_long_chains = []
-				for seed_index, (c, s) in enumerate(next_seeds[::len(next_seeds) // 20]):
-					# chain = mcmc(s, threshold_cost, n_s, model, dot_inputs_array, actual_measurement_array, mcmc_rng, curr_cost=c, stdevs=stdevs)
-					# until new version gotta do
-					_logger.debug(
-						f"\t{seed_index}: doing long chain on the next seed"
-					)
-				
-
-					long_chain = self.model.get_mcmc_chain(
-						s,
-						self.cost_function_to_use,
-						1000,
-						threshold_cost,
-						stdevs,
-						initial_cost=c,
-						rng_arg=mcmc_rng,
-					)
-					for _, chained in long_chain:
-						all_long_chains.append(chained)
-				all_long_chains_array = numpy.array(all_long_chains)
-				for n in range(self.model.n):
-					_logger.info(f"{all_long_chains_array[:, n].shape}")
-					numpy.savetxt(
-						f"long_chain_generation_{self.n_c}_{self.n_s}_{i}_dipole_{n}.csv",
-						all_long_chains_array[:, n],
-						delimiter=",",
-					)
-
-
 			if self.keep_probs_list:
 				for cost_index, cost_chain in enumerate(all_chains[: -self.n_c]):
 					probs_list.append(

pyproject.toml

@@ -14,7 +14,7 @@ scipy = "1.10"
 pytest = ">=6"
 flake8 = "^4.0.1"
 pytest-cov = "^4.1.0"
-mypy = "^1.6"
+mypy = "^1.5"
 python-semantic-release = "^7.24.0"
 black = "^22.3.0"
 syrupy = "^4.0.8"