<commit_before># Authors: Harvard Intelligent Probabilistic Systems (HIPS) Group
#          http://hips.seas.harvard.edu
#          <NAME>, <NAME>, <NAME>,
#          <NAME>, <NAME>, and others
# Copyright 2014, The President and Fellows of Harvard University
# Distributed under an MIT license. See license.txt file.

import sys
import hashlib
import numpy as np

EPSILON = sys.float_info.epsilon

from differentiable import Differentiable
from constants      import Constant, Parameter
from batcher        import Batcher
from data_nodes     import DataNode, Inputs, Targets
from matrix_ops     import MatAdd, MatMult, MatElemMult, MatSum, MatMean, Transpose, Reshape, Concatenate, Identity, TensorMult, ListToArray
from elem_ops       import ElemAdd, ElemMult, ElemExp, ElemLog, ElemPower, ElemAbs
from nonlinearities import SoftReLU, HardReLU, LogSoftMax, TanH, Logistic, InputSoftMax, SoftMax
from losses         import L2Loss, LogMultinomialLoss
from dropout        import Dropout
from regularizers   import L2Norm, L1Norm, Horseshoe, NExp
from crossval       import CrossValidator
from convolution    import Convolve1d
from indexing       import Take
from stacking       import Hstack
from generic_ops    import Blank
<commit_msg>Adding matrix determinant - initial version<commit_after># Authors: Harvard Intelligent Probabilistic Systems (HIPS) Group
#          http://hips.seas.harvard.edu
#          <NAME>, <NAME>, <NAME>,
#          <NAME>, <NAME>, and others
# Copyright 2014, The President and Fellows of Harvard University
# Distributed under an MIT license. See license.txt file.

import sys
import hashlib
import numpy as np

EPSILON = sys.float_info.epsilon

from differentiable import Differentiable
from constants      import Constant, Parameter
from batcher        import Batcher
from data_nodes     import DataNode, Inputs, Targets
from matrix_ops     import MatAdd, MatMult, MatElemMult, MatSum, MatMean, Transpose, Reshape, Concatenate, Identity, TensorMult, ListToArray, MatDet
from elem_ops       import ElemAdd, ElemMult, ElemExp, ElemLog, ElemPower, ElemAbs
from nonlinearities import SoftReLU, HardReLU, LogSoftMax, TanH, Logistic, InputSoftMax, SoftMax
from losses         import L2Loss, LogMultinomialLoss
from dropout        import Dropout
from regularizers   import L2Norm, L1Norm, Horseshoe, NExp
from crossval       import CrossValidator
from convolution    import Convolve1d
from indexing       import Take
from stacking       import Hstack
from generic_ops    import Blank

{'fraction_non_alphanumeric': 0.0549800796812749, 'fraction_numerical': 0.006374501992031873, 'mean_word_length': 4.0625, 'pattern_counts': {'":': 0, '<': 13, '<?xml version=': 0, '>': 13, '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': '2529781', 'n_tokens_mistral': 731, 'n_tokens_neox': 678, 'n_words': 267}