<commit_before>from __future__ import division

import numpy as np
from utils import msqrt, check_type, round_array, float_dtypes, integer_dtypes, bool_dtypes, safe_len, find_generations, logp_of_set
from numpy import ones, zeros, log, shape, cov, ndarray, inner, reshape, sqrt, any, array, all, abs, exp, where, isscalar, iterable, multiply, transpose, tri
from numpy.linalg.linalg import LinAlgError
from numpy.linalg import pinv, cholesky
from numpy.random import randint, random
from numpy.random import normal as rnormal
from numpy.random import poisson as rpoisson
from PyMCObjects import Stochastic, Potential, Deterministic
from Container import Container
from Node import ZeroProbability, Node, Variable, StochasticBase
from pymc.decorators import prop
from copy import copy
from InstantiationDecorators import deterministic
import pdb, warnings, sys
import inspect

__docformat__='reStructuredText'

# Changeset history
# 22/03/2007 -DH- Added a _state attribute containing the name of the attributes that make up the state of the step method, and a method to return that state in a dict. Added an id.
# TODO: Test cases for binary and discrete Metropolises.

conjugate_Gibbs_competence = 0
nonconjugate_Gibbs_competence = 0

class AdaptationError(ValueError): pass


__all__=['DiscreteMetropolis', 'Metropolis', 'MatrixMetropolis', 'StepMethod', 'assign_method',  'pick_best_methods', 'StepMethodRegistry', 'NoStepper', 'BinaryMetropolis', 'AdaptiveMetropolis','Gibbs','conjugate_Gibbs_competence', 'nonconjugate_Gibbs_competence', 'DrawFromPrior', 'TWalk']


StepMethodRegistry = []

def pick_best_methods(stochastic):
    """
    Picks the StepMethods best suited to handle<commit_msg>Removing TWalk from __all__ list in StepMethods until it is complete.<commit_after>from __future__ import division

import numpy as np
from utils import msqrt, check_type, round_array, float_dtypes, integer_dtypes, bool_dtypes, safe_len, find_generations, logp_of_set
from numpy import ones, zeros, log, shape, cov, ndarray, inner, reshape, sqrt, any, array, all, abs, exp, where, isscalar, iterable, multiply, transpose, tri
from numpy.linalg.linalg import LinAlgError
from numpy.linalg import pinv, cholesky
from numpy.random import randint, random
from numpy.random import normal as rnormal
from numpy.random import poisson as rpoisson
from PyMCObjects import Stochastic, Potential, Deterministic
from Container import Container
from Node import ZeroProbability, Node, Variable, StochasticBase
from pymc.decorators import prop
from copy import copy
from InstantiationDecorators import deterministic
import pdb, warnings, sys
import inspect

__docformat__='reStructuredText'

# Changeset history
# 22/03/2007 -DH- Added a _state attribute containing the name of the attributes that make up the state of the step method, and a method to return that state in a dict. Added an id.
# TODO: Test cases for binary and discrete Metropolises.

conjugate_Gibbs_competence = 0
nonconjugate_Gibbs_competence = 0

class AdaptationError(ValueError): pass


__all__=['DiscreteMetropolis', 'Metropolis', 'MatrixMetropolis', 'StepMethod', 'assign_method',  'pick_best_methods', 'StepMethodRegistry', 'NoStepper', 'BinaryMetropolis', 'AdaptiveMetropolis','Gibbs','conjugate_Gibbs_competence', 'nonconjugate_Gibbs_competence', 'DrawFromPrior']


StepMethodRegistry = []

def pick_best_methods(stochastic):
    """
    Picks the StepMethods best suited to handle
{'fraction_non_alphanumeric': 0.07028753993610223, 'fraction_numerical': 0.005808887598024978, 'mean_word_length': 6.6703786191536745, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4850534', 'n_tokens_mistral': 1068, 'n_tokens_neox': 983, 'n_words': 366}