# Path: molmod/test/common.py
# class BaseTestCase(unittest.TestCase):
#     def assertArraysEqual(self, a, b):
#         self.assertEqual(a.shape, b.shape, "The array shapes do not match.")
#         assert (a==b).all(), "The array values do not match."
# 
#     def assertArrayConstant(self, arr, const):
#         assert (arr==const).all(), "Some/All array values do not match the constant."
# 
#     def assertArraysAlmostEqual(self, a, b, threshold=1e-6, mean=False, doabs=False):
#         self.assertEqual(a.shape, b.shape, "The array shapes do not match.")
#         if a.shape == (0,):
#             return
#         if mean:
#             abserr = abs(a-b).mean()
#             oom = 0.5*(abs(a).mean()+abs(b).mean())
#         else:
#             abserr = abs(a-b).max()
#             oom = 0.5*(abs(a).max()+abs(b).max())
#         if doabs:
#             assert abserr <= threshold, "The absolute error is larger than the given threshold: %5.3e > %5.3e" % (abserr, threshold)
#         else:
#             relerr = abserr/oom
#             assert relerr <= threshold, "The relative error is larger than the given threshold: %5.3e > %5.3e" % (relerr, threshold)
# 
#     def assertArrayAlmostConstant(self, arr, const, relerr_threshold):
#         error = abs(arr-const).max()
#         oom = const
#         relerr = error/oom
#         assert relerr <= relerr_threshold, "The relative error is larger than the given threshold: %5.3e > %5.3e" % (relerr, relerr_threshold)
# 
#     def assertArrayAlmostZero(self, arr, abserr_threshold):
#         abserr = abs(arr).max()
#         assert abserr <= abserr_threshold, "The absolute error is larger than the given threshold: %5.3e > %5.3e" % (abserr, abserr_threshold)


import numpy as np
import pytest
from molmod.test.common import BaseTestCase
from molmod import *


def quad(x, do_gradient=False):
    value = ((x - 1)**2).sum()
    if do_gradient:
        gradient = 2*(x-1)
        return value, gradient
    else:
        return value


def circle1(x):
    return (x**2).sum()-4, 2*x


def circle2(x):
    x = x.copy()
    x[0] -= -1
    return (x**2).sum()-4, 2*x


class Half(object):
    def __init__(self, x0, normal):
        self.x0 = x0
        self.normal = normal

    def __call__(self, x):
        return np.dot(x - self.x0, self.normal), self.normal



# Path: molmod/test/common.py
# class BaseTestCase(unittest.TestCase):
#     def assertArraysEqual(self, a, b):
#         self.assertEqual(a.shape, b.shape, "The array shapes do not match.")
#         assert (a==b).all(), "The array values do not match."
# 
#     def assertArrayConstant(self, arr, const):
#         assert (arr==const).all(), "Some/All array values do not match the constant."
# 
#     def assertArraysAlmostEqual(self, a, b, threshold=1e-6, mean=False, doabs=False):
#         self.assertEqual(a.shape, b.shape, "The array shapes do not match.")
#         if a.shape == (0,):
#             return
#         if mean:
#             abserr = abs(a-b).mean()
#             oom = 0.5*(abs(a).mean()+abs(b).mean())
#         else:
#             abserr = abs(a-b).max()
#             oom = 0.5*(abs(a).max()+abs(b).max())
#         if doabs:
#             assert abserr <= threshold, "The absolute error is larger than the given threshold: %5.3e > %5.3e" % (abserr, threshold)
#         else:
#             relerr = abserr/oom
#             assert relerr <= threshold, "The relative error is larger than the given threshold: %5.3e > %5.3e" % (relerr, threshold)
# 
#     def assertArrayAlmostConstant(self, arr, const, relerr_threshold):
#         error = abs(arr-const).max()
#         oom = const
#         relerr = error/oom
#         assert relerr <= relerr_threshold, "The relative error is larger than the given threshold: %5.3e > %5.3e" % (relerr, relerr_threshold)
# 
#     def assertArrayAlmostZero(self, arr, abserr_threshold):
#         abserr = abs(arr).max()
#         assert abserr <= abserr_threshold, "The absolute error is larger than the given threshold: %5.3e > %5.3e" % (abserr, abserr_threshold)


# Path: molmod/test/test_minimizer.py
import numpy as np
import pytest
from molmod.test.common import BaseTestCase
from molmod import *



def quad(x, do_gradient=False):
    value = ((x - 1)**2).sum()
    if do_gradient:
        gradient = 2*(x-1)
        return value, gradient
    else:
        return value


def circle1(x):
    return (x**2).sum()-4, 2*x


def circle2(x):
    x = x.copy()
    x[0] -= -1
    return (x**2).sum()-4, 2*x


class Half(object):
    def __init__(self, x0, normal):
        self.x0 = x0
        self.normal = normal

    def __call__(self, x):
        return np.dot(x - self.x0, self.normal), self.normal



class MinimizerTestCase(BaseTestCase):