[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

docs/projects/_numerical_integration.py

@@ -70,7 +70,6 @@ def get_rmse_rate(df, comparison_rates, methods):
         - figure
     """
     for measure in ["absolute", "relative"]:
-
         fig, ax = plt.subplots(1, 1, figsize=(6.5, 4.5))
 
         for m in methods:

respy/exogenous_processes.py

@@ -39,7 +39,6 @@ def compute_transition_probabilities(
     # Compute the probabilities for every exogenous process.
     probabilities = []
     for exog_proc in exogenous_processes:
-
         # Create the dot product of covariates and parameters.
         x_betas = [
             pandas_dot(states[params.index], params)

respy/likelihood.py

@@ -460,7 +460,6 @@ def _simulate_log_probability_of_individuals_observed_choice(
     smoothed_value_functions = np.empty(n_choices)
 
     for i in range(n_draws):
-
         for j in range(n_choices):
             value_function, _ = aggregate_keane_wolpin_utility(
                 wages[j], nonpec[j], continuation_values[j], draws[i, j], delta
@@ -553,7 +552,6 @@ def _process_estimation_data(df, state_space, optim_paras, options):
 def _update_optim_paras_with_initial_experience_levels(optim_paras, df):
     """Adjust the initial experience levels in optim_paras from the data."""
     for choice in optim_paras["choices_w_exp"]:
-
         # Adjust initial experience levels for all choices with experiences.
         init_exp_data = np.sort(
             df.query("Period == 0")[f"Experience_{choice.title()}"].unique()

respy/shared.py

@@ -493,7 +493,6 @@ def calculate_expected_value_functions(
     expected_value_functions[0] = 0
 
     for i in range(n_draws):
-
         max_value_functions = 0
 
         for j in range(n_choices):

respy/solve.py

@@ -197,7 +197,6 @@ def _solve_with_backward_induction(state_space, optim_paras, options):
             )
 
         else:
-
             wages = state_space.get_attribute_from_period("wages", period)
             nonpecs = state_space.get_attribute_from_period("nonpecs", period)
             continuation_values = state_space.get_continuation_values(period)

respy/tests/_former_code.py

@@ -72,7 +72,6 @@ def _create_state_space_kw94(n_periods, n_types, edu_starts, edu_max):
 
     # Construct state space by periods
     for period in range(n_periods):
-
         # Build periodic indexer.
         max_edu_starts = max(edu_starts)
         dim_edu = min(max_edu_starts + period, edu_max) + 1
@@ -82,10 +81,8 @@ def _create_state_space_kw94(n_periods, n_types, edu_starts, edu_max):
 
         # Loop over all unobserved types
         for type_ in range(n_types):
-
             # Loop overall all initial levels of schooling
             for edu_start in edu_starts:
-
                 # For occupations and education it is necessary to loop over period
                 # + 1 as zero has to be included if it is never this choice and period
                 # + 1 if it is always the same choice.
@@ -95,22 +92,17 @@ def _create_state_space_kw94(n_periods, n_types, edu_starts, edu_max):
 
                 # Loop over all admissible work experiences for Occupation A
                 for exp_a in range(period + 1):
-
                     # Loop over all admissible work experience for Occupation B
                     for exp_b in range(period + 1 - exp_a):
-
                         # Loop over all admissible additional education levels
                         for edu_add in range(
                             min(period + 1 - exp_a - exp_b, edu_max + 1 - edu_start)
                         ):
-
                             # Loop over all admissible values for the lagged activity:
                             # (1) Occupation A, (2) Occupation B, (3) Education, and (4)
                             # Home.
                             for lagged_choice in range(4):
-
                                 if period > 0:
-
                                     # (0, 1) Whenever an agent has only worked in
                                     # Occupation A, then the lagged choice cannot be
                                     # anything other than one.
@@ -231,7 +223,6 @@ def _create_state_space_kw97_base(n_periods, n_types, edu_starts, edu_max):
 
     # Construct state space by periods
     for period in range(n_periods):
-
         # Build periodic indexer.
         max_edu_starts = max(edu_starts)
         dim_edu = min(max_edu_starts + period, edu_max) + 1
@@ -241,10 +232,8 @@ def _create_state_space_kw97_base(n_periods, n_types, edu_starts, edu_max):
 
         # Loop over all unobserved types
         for type_ in range(n_types):
-
             # Loop overall all initial levels of schooling
             for edu_start in edu_starts:
-
                 # For occupations and education it is necessary to loop over period
                 # + 1 as zero has to be included if it is never this choice and period
                 # + 1 if it is always the same choice.
@@ -254,21 +243,17 @@ def _create_state_space_kw97_base(n_periods, n_types, edu_starts, edu_max):
 
                 # Loop over all admissible work experiences for Occupation A
                 for exp_a in range(period + 1):
-
                     # Loop over all admissible work experience for Occupation B
                     for exp_b in range(period + 1 - exp_a):
-
                         # Loop over all admissible work experience for Occupation B
                         for exp_mil in range(period + 1 - exp_a - exp_b):
-
                             # Loop over all admissible additional education levels
                             for edu_add in range(
                                 min(
                                     period + 1 - exp_a - exp_b - exp_mil,
                                     edu_max + 1 - edu_start,
                                 )
                             ):
-
                                 # Continue if state still exist. This condition is
                                 # only triggered by multiple initial levels of
                                 # education.
@@ -336,7 +321,6 @@ def _create_state_space_kw97_extended(n_periods, n_types, edu_starts, edu_max):
 
     # Construct state space by periods
     for period in range(n_periods):
-
         # Build periodic indexer.
         max_edu_starts = max(edu_starts)
         dim_edu = min(max_edu_starts + period, edu_max) + 1
@@ -346,10 +330,8 @@ def _create_state_space_kw97_extended(n_periods, n_types, edu_starts, edu_max):
 
         # Loop over all unobserved types
         for type_ in range(n_types):
-
             # Loop overall all initial levels of schooling
             for edu_start in edu_starts:
-
                 # For occupations and education it is necessary to loop over period
                 # + 1 as zero has to be included if it is never this choice and period
                 # + 1 if it is always the same choice.
@@ -359,28 +341,22 @@ def _create_state_space_kw97_extended(n_periods, n_types, edu_starts, edu_max):
 
                 # Loop over all admissible work experiences for Occupation A
                 for exp_a in range(period + 1):
-
                     # Loop over all admissible work experience for Occupation B
                     for exp_b in range(period + 1 - exp_a):
-
                         # Loop over all admissible work experience for Occupation B
                         for exp_mil in range(period + 1 - exp_a - exp_b):
-
                             # Loop over all admissible additional education levels
                             for edu_add in range(
                                 min(
                                     period + 1 - exp_a - exp_b - exp_mil,
                                     edu_max + 1 - edu_start,
                                 )
                             ):
-
                                 # Loop over all admissible values for the lagged
                                 # activity: (1) Occupation A, (2) Occupation B, (3)
                                 # Military, (4) Education, and (5) Home.
                                 for lagged_choice in range(5):
-
                                     if period > 0:
-
                                         # (0, 1) Whenever an agent has only worked in
                                         # Occupation A, then the lagged choice cannot be
                                         # anything other than one.

respy/tests/test_solve.py

@@ -226,7 +226,6 @@ def test_create_state_space_vs_specialized_kw97(model):
         ]
 
         for index in indexer.keys():
-
             if index[0] == period:
                 assert list(index) in indices_old