brandonwillard

#
# XXX: This .pdbrc is only valid for Python > 3.x
#
import os
import pdb
from pprint import pprint as __pprint

from contextlib import suppress as __suppress

# Use IPython's pretty printing within PDB

brandonwillard

import inspect

import numba
import numpy as np

import pandas as pd

import aesara
import aesara.tensor as at

brandonwillard

import pymc3 as pm

import numpy as np
import pandas as pd
import patsy

import matplotlib.pyplot as plt

import theano
import theano.tensor as tt

brandonwillard

import numpy as np

import theano
import theano.tensor as tt

import jax
import jax.numpy as jnp

from warnings import warn
from functools import partial, update_wrapper

brandonwillard

brandonwillard

import numba
import numpy


#The filter2d with the same signature as Theano
#but not a class method.
def filter2d_theano(node, inputs, outputs):
    image, filt = inputs
    M, N = image.shape
    Mf, Nf = filt.shape

brandonwillard

import theano
import theano.tensor as tt

import pymc3 as pm

from warnings import warn
from unittest.mock import patch
from types import SimpleNamespace
from inspect import Signature
from collections import OrderedDict

brandonwillard

import numpy as np
import theano.tensor as tt

import pymc3 as pm

from itertools import chain, filterfalse


tt.optimizer = 'fast_compile'

brandonwillard

Overall, it looks easier to write a Jupyter Notebook exporter from scratch. The Notebook format is given here.

(require 'ox-gfm)

(org-export-define-derived-backend 'jnb 'gfm
  :filters-alist '((:filter-parse-tree . org-jnb-separate-elements))
  :menu-entry

brandonwillard

import numpy as np

import theano
import theano.tensor as tt

import matplotlib.pyplot as plt

from theano.printing import debugprint as tt_dprint

from symbolic_pymc.theano.random_variables import NormalRV, MvNormalRV, InvGammaRV, observed