<commit_before>from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
cimport numpy as np


DTYPE = np.float
ctypedef np.float_t DTYPE_t

PI = np.pi
UPPER_BOUNDBOX = 2 * PI
LOWER_BOUNDBOX = 0


def csa_eval_cost(np.ndarray solution, int dimension, int functionNumber):
    """
    Evaluate the current cost function.
    """
    cdef DTYPE_t e

    if functionNumber == 1998:
        e = 0
        for i in range(dimension):<commit_msg>add more optimizations<commit_after>from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import numpy as np
cimport numpy as np
cimport cython


DTYPE = np.float
ctypedef np.float_t DTYPE_t

cdef DTYPE_t PI = np.pi
cdef DTYPE_t UPPER_BOUNDBOX = 2 * PI
cdef DTYPE_t LOWER_BOUNDBOX = 0


#  @cython.boundscheck(False) # turn off bounds-checking for entire function
#  @cython.wraparound(False)  # turn off negative index wrapping for entire function
def csa_eval_cost(np.ndarray[DTYPE_t, ndim=1] solution, int dimension, int functionNumber):
    """
    Evaluate the current cost function.
    """
    cdef DTYPE_t e
    cdef DTYPE_t tmpvar1
    cdef DTYPE_t tmpvar2
    cdef DTYPE_t solutionScale
    cdef DTYPE_t par1
    cdef DTYPE_t par2
    cdef DTYPE_t parNorm
    cdef int kmax
    cdef int i

    if functionNumber == 1998:
        e = 0
        for i in range(dimension):
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{'dir': 'git-commits-cleaned', 'id': '3694624', 'n_tokens_mistral': 512, 'n_tokens_neox': 480, 'n_words': 162}