import os
import numpy as np

save_stem='extra_vis_friday_harbor'
data_dir='../../data/sdk_new_100'
resolution=100
cre=False
source_acronyms=['VISal','VISam','VISl','VISp','VISpl','VISpm',
                 'VISli','VISpor','VISrl','VISa']
lambda_list = np.logspace(3,12,10)
scale_lambda=True
min_vox=0
# save_file_name='visual_output.hdf5'
#source_coverage=0.90
source_coverage=0.95
#source_shell = 1
source_shell=None
save_dir=os.path.join('../../data/connectivities',save_stem)
experiments_fn=None
target_acronyms=source_acronyms
solver=os.path.abspath('../smoothness_c/solve')
cmdfile=os.path.join(save_dir,'model_fitting_cmds')
selected_fit_cmds=os.path.join(save_dir,'model_fitting_after_selection_cmds')
save_mtx=True
cross_val_matrices=True
cross_val=5
fit_gaussian=False
select_one_lambda=False
if select_one_lambda:
    lambda_fn='lambda_opt'
else:
    lambda_fn='lambda_ipsi_contra_opt'
laplacian='free'
shuffle_seed=666
max_injection_volume=0.7

[(10, 'numpy.logspace', 'np.logspace', True, 'import numpy as np\n'), (18, 'os.path.join', 'os.path.join', False, 'import os\n'), (21, 'os.path.abspath', 'os.path.abspath', False, 'import os\n'), (22, 'os.path.join', 'os.path.join', False, 'import os\n'), (23, 'os.path.join', 'os.path.join', False, 'import os\n')]