def G_minus_false_messy_soma_filter(G=None):
"""
Current will reduce the graph from (nodes,edges)
(68001, 2149378) -- > (62013, 2124962)
"""
if G is None:
import system_utils as su
G = su.decompress_pickle("/platinum_graph/Data/G_query_v6.pbz2")
sg,sp_idx = neurons_minus_false_messy_soma_filter().fetch("segment_id","split_index")
n_names = [pv.node_name(k,v) for k,v in zip(sg,sp_idx)]
G_restricted = G.subgraph(n_names)
return G_restricted
def G_minus_false_and_multi_soma(G=None,
filter_away_baylor_allen_cell_type_mismatch = True,
verbose = True):
"""
Current will reduce the graph from (nodes,edges)
(68001, 2149378) -- > (62013, 2124962)
"""
if G is None:
import system_utils as su
G = su.decompress_pickle("/platinum_graph/Data/G_query_v6.pbz2")
sg,sp_idx = neurons_minus_false_and_multi_soma_mergers().fetch("segment_id","split_index")
n_names = [pv.node_name(k,v) for k,v in zip(sg,sp_idx)]
G_restricted = G.subgraph(n_names)
if filter_away_baylor_allen_cell_type_mismatch:
G_restricted = xu.subgraph_from_node_query(G_restricted,"allen_e_i == baylor_e_i")
return G_restricted
from tqdm.notebook import tqdm
from pathlib import Path
from os import sys
sys.path.append("/meshAfterParty/")
import datajoint_utils as du
from importlib import reload
import soma_extraction_utils as sm
# # debugging
# In[2]:
import system_utils as su
new_submesh = su.decompress_pickle("./new_submesh")
# In[3]:
new_submesh.split(only_watertight=False, repair=False)
# In[4]:
import minfig
du.set_minnie65_config_segmentation(minfig)
du.print_minnie65_config_paths(minfig)
# In[5]:
minnie = minfig.configure_minnie(return_virtual_module=True)
def load_G_with_attrs(filepath):
return su.decompress_pickle(filepath)
def load_node_df(filepath = None):
if filepath is None:
filepath = default_node_df_path
return su.decompress_pickle(filepath)
def load_model(path):
return su.decompress_pickle(path)