def val_switch(v):
if isinstance(v, DataFrame) is True:
return SilentDF(v)
else:
return v
from cadCAD.configuration import append_configs
from cadCAD.configuration.utils import config_sim
import pandas as pd
from cadCAD.utils import SilentDF
df = SilentDF(
pd.read_csv('/DiffyQ-SimCAD/simulations/external_data/output.csv'))
def query(s, df):
return df[(df['run'] == s['run']) & (df['substep'] == s['substep']) &
(df['timestep'] == s['timestep'])].drop(
columns=['run', 'substep', "timestep"])
def p1(_g, substep, sL, s):
result_dict = query(s, df).to_dict()
del result_dict["ds3"]
return {k: list(v.values()).pop() for k, v in result_dict.items()}
def p2(_g, substep, sL, s):
result_dict = query(s, df).to_dict()
del result_dict["ds1"], result_dict["ds2"]
return {k: list(v.values()).pop() for k, v in result_dict.items()}
# integrate_ext_dataset
def integrate_ext_dataset(_g, step, sL, s, _input):
result_dict = query(s, df).to_dict()
return 'external_data', {
def read(self, ds_uri):
self.ds = SilentDF(pd.read_csv(ds_uri))
return self
def val_switch(v):
if isinstance(v, pd.DataFrame) is True or isinstance(v,
SilentDF) is True:
return SilentDF(v)
else:
return v.x
import pandas as pd
import pprint as pp
# from fn.func import curried
from datetime import timedelta
from cadCAD.utils import SilentDF #, val_switch
from cadCAD.configuration import append_configs
from cadCAD.configuration.utils import time_step, config_sim
from cadCAD.configuration.utils.userDefinedObject import udoPipe, UDO
DF = SilentDF(pd.read_csv('simulations/external_data/output.csv'))
class udoExample(object):
def __init__(self, x, dataset=None):
self.x = x
self.mem_id = str(hex(id(self)))
self.ds = dataset # for setting ds initially or querying
self.perception = {}
def anon(self, f):
return f(self)
def updateX(self):
self.x += 1
return self
def perceive(self, s):
self.perception = self.ds[(self.ds['run'] == s['run'])
& (self.ds['substep'] == s['substep']) &
(self.ds['timestep'] == s['timestep'])].drop(
from cadCAD.configuration import append_configs
from cadCAD.configuration.utils import config_sim
import pandas as pd
from cadCAD.utils import SilentDF
df = SilentDF(
pd.read_csv(
'/Users/jjodesty/Projects/DiffyQ-SimCAD/simulations/external_data/output.csv'
))
def query(s, df):
return df[(df['run'] == s['run']) & (df['substep'] == s['substep']) &
(df['timestep'] == s['timestep'])].drop(
columns=['run', 'substep', "timestep"])
def p1(_g, substep, sL, s, **kwargs):
result_dict = query(s, df).to_dict()
del result_dict["ds3"]
return {k: list(v.values()).pop() for k, v in result_dict.items()}
def p2(_g, substep, sL, s, **kwargs):
result_dict = query(s, df).to_dict()
del result_dict["ds1"], result_dict["ds2"]
return {k: list(v.values()).pop() for k, v in result_dict.items()}
# ToDo: SilentDF(df) wont work
#integrate_ext_dataset
