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How to use run_test method in ATX
Best Python code snippet using ATX
np_array_ops_test.py
Source:np_array_ops_test.py 
...390 np_array_ops.array,391 lambda x: np_array_ops.array(x, dtype=np.float32),392 lambda x: np_array_ops.array(x, dtype=np.float64)393 ]394 def run_test(arr):395 for fn in array_transforms:396 arr = fn(arr)397 self.match(398 np_array_ops.diag(arr), np.diag(arr), msg='diag({})'.format(arr))399 for k in range(-3, 3):400 self.match(401 np_array_ops.diag(arr, k),402 np.diag(arr, k),403 msg='diag({}, k={})'.format(arr, k))404 # 2-d arrays.405 run_test(np.arange(9).reshape((3, 3)).tolist())406 run_test(np.arange(6).reshape((2, 3)).tolist())407 run_test(np.arange(6).reshape((3, 2)).tolist())408 run_test(np.arange(3).reshape((1, 3)).tolist())409 run_test(np.arange(3).reshape((3, 1)).tolist())410 run_test([[5]])411 run_test([[]])412 run_test([[], []])413 # 1-d arrays.414 run_test([])415 run_test([1])416 run_test([1, 2])417 def testDiagFlat(self):418 array_transforms = [419 lambda x: x, # Identity,420 ops.convert_to_tensor,421 np.array,422 lambda x: np.array(x, dtype=np.float32),423 lambda x: np.array(x, dtype=np.float64),424 np_array_ops.array,425 lambda x: np_array_ops.array(x, dtype=np.float32),426 lambda x: np_array_ops.array(x, dtype=np.float64)427 ]428 def run_test(arr):429 for fn in array_transforms:430 arr = fn(arr)431 self.match(432 np_array_ops.diagflat(arr),433 np.diagflat(arr),434 msg='diagflat({})'.format(arr))435 for k in range(-3, 3):436 self.match(437 np_array_ops.diagflat(arr, k),438 np.diagflat(arr, k),439 msg='diagflat({}, k={})'.format(arr, k))440 # 1-d arrays.441 run_test([])442 run_test([1])443 run_test([1, 2])444 # 2-d arrays.445 run_test([[]])446 run_test([[5]])447 run_test([[], []])448 run_test(np.arange(4).reshape((2, 2)).tolist())449 run_test(np.arange(2).reshape((2, 1)).tolist())450 run_test(np.arange(2).reshape((1, 2)).tolist())451 # 3-d arrays452 run_test(np.arange(8).reshape((2, 2, 2)).tolist())453 def match_shape(self, actual, expected, msg=None):454 if msg:455 msg = 'Shape match failed for: {}. Expected: {} Actual: {}'.format(456 msg, expected.shape, actual.shape)457 self.assertEqual(actual.shape, expected.shape, msg=msg)458 def match_dtype(self, actual, expected, msg=None):459 if msg:460 msg = 'Dtype match failed for: {}. Expected: {} Actual: {}.'.format(461 msg, expected.dtype, actual.dtype)462 self.assertEqual(actual.dtype, expected.dtype, msg=msg)463 def match(self, actual, expected, msg=None, almost=False, decimal=7):464 msg_ = 'Expected: {} Actual: {}'.format(expected, actual)465 if msg:466 msg = '{} {}'.format(msg_, msg)467 else:468 msg = msg_469 self.assertIsInstance(actual, np_arrays.ndarray)470 self.match_dtype(actual, expected, msg)471 self.match_shape(actual, expected, msg)472 if not almost:473 if not actual.shape.rank:474 self.assertEqual(actual.tolist(), expected.tolist())475 else:476 self.assertSequenceEqual(actual.tolist(), expected.tolist())477 else:478 np.testing.assert_almost_equal(479 actual.tolist(), expected.tolist(), decimal=decimal)480 def testIndexedSlices(self):481 dtype = dtypes.int64482 iss = indexed_slices.IndexedSlices(483 values=np_array_ops.ones([2, 3], dtype=dtype),484 indices=constant_op.constant([1, 9]),485 dense_shape=[10, 3])486 a = np_array_ops.array(iss, copy=False)487 expected = array_ops.scatter_nd([[1], [9]],488 array_ops.ones([2, 3], dtype=dtype),489 [10, 3])490 self.assertAllEqual(expected, a)491class ArrayMethodsTest(test.TestCase):492 def setUp(self):493 super(ArrayMethodsTest, self).setUp()494 set_up_virtual_devices()495 self.array_transforms = [496 lambda x: x,497 ops.convert_to_tensor,498 np.array,499 np_array_ops.array,500 ]501 def testAllAny(self):502 def run_test(arr, *args, **kwargs):503 for fn in self.array_transforms:504 arr = fn(arr)505 self.match(506 np_array_ops.all(arr, *args, **kwargs),507 np.all(arr, *args, **kwargs))508 self.match(509 np_array_ops.any(arr, *args, **kwargs),510 np.any(arr, *args, **kwargs))511 run_test(0)512 run_test(1)513 run_test([])514 run_test([[True, False], [True, True]])515 run_test([[True, False], [True, True]], axis=0)516 run_test([[True, False], [True, True]], axis=0, keepdims=True)517 run_test([[True, False], [True, True]], axis=1)518 run_test([[True, False], [True, True]], axis=1, keepdims=True)519 run_test([[True, False], [True, True]], axis=(0, 1))520 run_test([[True, False], [True, True]], axis=(0, 1), keepdims=True)521 run_test([5.2, 3.5], axis=0)522 run_test([1, 0], axis=0)523 def testCompress(self):524 def run_test(condition, arr, *args, **kwargs):525 for fn1 in self.array_transforms:526 for fn2 in self.array_transforms:527 arg1 = fn1(condition)528 arg2 = fn2(arr)529 self.match(530 np_array_ops.compress(arg1, arg2, *args, **kwargs),531 np.compress(532 np.asarray(arg1).astype(np.bool_), arg2, *args, **kwargs))533 run_test([True], 5)534 run_test([False], 5)535 run_test([], 5)536 run_test([True, False, True], [1, 2, 3])537 run_test([True, False], [1, 2, 3])538 run_test([False, True], [[1, 2], [3, 4]])539 run_test([1, 0, 1], [1, 2, 3])540 run_test([1, 0], [1, 2, 3])541 run_test([0, 1], [[1, 2], [3, 4]])542 run_test([True], [[1, 2], [3, 4]])543 run_test([False, True], [[1, 2], [3, 4]], axis=1)544 run_test([False, True], [[1, 2], [3, 4]], axis=0)545 run_test([False, True], [[1, 2], [3, 4]], axis=-1)546 run_test([False, True], [[1, 2], [3, 4]], axis=-2)547 def testCopy(self):548 def run_test(arr, *args, **kwargs):549 for fn in self.array_transforms:550 arg = fn(arr)551 self.match(552 np_array_ops.copy(arg, *args, **kwargs),553 np.copy(arg, *args, **kwargs))554 run_test([])555 run_test([1, 2, 3])556 run_test([1., 2., 3.])557 run_test([True])558 run_test(np.arange(9).reshape((3, 3)).tolist())559 a = np_array_ops.asarray(0)560 self.assertNotIn('CPU:1', a.backing_device)561 with ops.device('CPU:1'):562 self.assertIn('CPU:1', np_array_ops.array(a, copy=True)563 .backing_device)564 self.assertIn('CPU:1', np_array_ops.array(np.array(0), copy=True)565 .backing_device)566 def testCumProdAndSum(self):567 def run_test(arr, *args, **kwargs):568 for fn in self.array_transforms:569 arg = fn(arr)570 self.match(571 np_array_ops.cumprod(arg, *args, **kwargs),572 np.cumprod(arg, *args, **kwargs))573 self.match(574 np_array_ops.cumsum(arg, *args, **kwargs),575 np.cumsum(arg, *args, **kwargs))576 run_test([])577 run_test([1, 2, 3])578 run_test([1, 2, 3], dtype=float)579 run_test([1, 2, 3], dtype=np.float32)580 run_test([1, 2, 3], dtype=np.float64)581 run_test([1., 2., 3.])582 run_test([1., 2., 3.], dtype=int)583 run_test([1., 2., 3.], dtype=np.int32)584 run_test([1., 2., 3.], dtype=np.int64)585 run_test([[1, 2], [3, 4]], axis=1)586 run_test([[1, 2], [3, 4]], axis=0)587 run_test([[1, 2], [3, 4]], axis=-1)588 run_test([[1, 2], [3, 4]], axis=-2)589 def testImag(self):590 def run_test(arr, *args, **kwargs):591 for fn in self.array_transforms:592 arg = fn(arr)593 self.match(594 np_array_ops.imag(arg, *args, **kwargs),595 # np.imag may return a scalar so we convert to a np.ndarray.596 np.array(np.imag(arg, *args, **kwargs)))597 run_test(1)598 run_test(5.5)599 run_test(5 + 3j)600 run_test(3j)601 run_test([])602 run_test([1, 2, 3])603 run_test([1 + 5j, 2 + 3j])604 run_test([[1 + 5j, 2 + 3j], [1 + 7j, 2 + 8j]])605 def testAMaxAMin(self):606 def run_test(arr, *args, **kwargs):607 axis = kwargs.pop('axis', None)608 for fn1 in self.array_transforms:609 for fn2 in self.array_transforms:610 arr_arg = fn1(arr)611 axis_arg = fn2(axis) if axis is not None else None612 self.match(613 np_array_ops.amax(arr_arg, axis=axis_arg, *args, **kwargs),614 np.amax(arr_arg, axis=axis, *args, **kwargs))615 self.match(616 np_array_ops.amin(arr_arg, axis=axis_arg, *args, **kwargs),617 np.amin(arr_arg, axis=axis, *args, **kwargs))618 run_test([1, 2, 3])619 run_test([1., 2., 3.])620 run_test([[1, 2], [3, 4]], axis=1)621 run_test([[1, 2], [3, 4]], axis=0)622 run_test([[1, 2], [3, 4]], axis=-1)623 run_test([[1, 2], [3, 4]], axis=-2)624 run_test([[1, 2], [3, 4]], axis=(0, 1))625 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2))626 run_test(627 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2), keepdims=True)628 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0))629 run_test(630 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0), keepdims=True)631 self.assertRaises(ValueError, np_array_ops.amax, np.ones([2, 2]), out=[])632 self.assertRaises(ValueError, np_array_ops.amin, np.ones([2, 2]), out=[])633 def testMean(self):634 def run_test(arr, *args, **kwargs):635 axis = kwargs.pop('axis', None)636 for fn1 in self.array_transforms:637 for fn2 in self.array_transforms:638 arr_arg = fn1(arr)639 axis_arg = fn2(axis) if axis is not None else None640 self.match(641 np_array_ops.mean(arr_arg, axis=axis_arg, *args, **kwargs),642 np.mean(arr_arg, axis=axis, *args, **kwargs))643 run_test([1, 2, 1])644 run_test([1., 2., 1.])645 run_test([1., 2., 1.], dtype=int)646 run_test([[1, 2], [3, 4]], axis=1)647 run_test([[1, 2], [3, 4]], axis=0)648 run_test([[1, 2], [3, 4]], axis=-1)649 run_test([[1, 2], [3, 4]], axis=-2)650 run_test([[1, 2], [3, 4]], axis=(0, 1))651 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2))652 run_test(653 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2), keepdims=True)654 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0))655 run_test(656 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0), keepdims=True)657 self.assertRaises(ValueError, np_array_ops.mean, np.ones([2, 2]), out=[])658 def testStd(self):659 def run_test(arr, *args, **kwargs):660 axis = kwargs.pop('axis', None)661 for fn1 in self.array_transforms:662 for fn2 in self.array_transforms:663 arr_arg = fn1(arr)664 axis_arg = fn2(axis) if axis is not None else None665 self.match(666 np_array_ops.std(arr_arg, axis=axis_arg, *args, **kwargs),667 np.std(arr_arg, axis=axis, *args, **kwargs))668 run_test([1, 2, 1])669 run_test([1., 2., 1.])670 run_test([1.j, 2., 1.j])671 run_test([[1, 2], [3, 4]], axis=1)672 run_test([[1, 2], [3, 4]], axis=0)673 run_test([[1, 2], [3, 4]], axis=-1)674 run_test([[1, 2], [3, 4]], axis=-2)675 run_test([[1, 2], [3, 4]], axis=(0, 1))676 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2))677 run_test(678 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2), keepdims=True)679 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0))680 run_test(681 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0), keepdims=True)682 def testVar(self):683 def run_test(arr, *args, **kwargs):684 axis = kwargs.pop('axis', None)685 for fn1 in self.array_transforms:686 for fn2 in self.array_transforms:687 arr_arg = fn1(arr)688 axis_arg = fn2(axis) if axis is not None else None689 self.match(690 np_array_ops.var(arr_arg, axis=axis_arg, *args, **kwargs),691 np.var(arr_arg, axis=axis, *args, **kwargs))692 run_test([1, 2, 1])693 run_test([1., 2., 1.])694 run_test([1.j, 2., 1.j])695 run_test([1., 2., 1.], dtype=np.int64)696 run_test([[1, 2], [3, 4]], axis=1)697 run_test([[1, 2], [3, 4]], axis=0)698 run_test([[1, 2], [3, 4]], axis=-1)699 run_test([[1, 2], [3, 4]], axis=-2)700 run_test([[1, 2], [3, 4]], axis=(0, 1))701 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2))702 run_test(703 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2), keepdims=True)704 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0))705 run_test(706 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0), keepdims=True)707 self.assertRaises(ValueError, np_array_ops.var, np.ones([2, 2]), out=[])708 def testProd(self):709 def run_test(arr, *args, **kwargs):710 for fn in self.array_transforms:711 arg = fn(arr)712 self.match(713 np_array_ops.prod(arg, *args, **kwargs),714 np.prod(arg, *args, **kwargs))715 run_test([1, 2, 3])716 run_test([1., 2., 3.])717 run_test(np.array([1, 2, 3], dtype=np.int16))718 run_test([[1, 2], [3, 4]], axis=1)719 run_test([[1, 2], [3, 4]], axis=0)720 run_test([[1, 2], [3, 4]], axis=-1)721 run_test([[1, 2], [3, 4]], axis=-2)722 run_test([[1, 2], [3, 4]], axis=(0, 1))723 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2))724 run_test(725 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(0, 2), keepdims=True)726 run_test(np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0))727 run_test(728 np.arange(8).reshape((2, 2, 2)).tolist(), axis=(2, 0), keepdims=True)729 def _testReduce(self, math_fun, np_fun, name):730 axis_transforms = [731 lambda x: x, # Identity,732 ops.convert_to_tensor,733 np.array,734 np_array_ops.array,735 lambda x: np_array_ops.array(x, dtype=np.float32),736 lambda x: np_array_ops.array(x, dtype=np.float64),737 ]738 def run_test(a, **kwargs):739 axis = kwargs.pop('axis', None)740 for fn1 in self.array_transforms:741 for fn2 in axis_transforms:742 arg1 = fn1(a)743 axis_arg = fn2(axis) if axis is not None else None744 self.match(745 math_fun(arg1, axis=axis_arg, **kwargs),746 np_fun(arg1, axis=axis, **kwargs),747 msg='{}({}, axis={}, keepdims={})'.format(name, arg1, axis,748 kwargs.get('keepdims')))749 run_test(5)750 run_test([2, 3])751 run_test([[2, -3], [-6, 7]])752 run_test([[2, -3], [-6, 7]], axis=0)753 run_test([[2, -3], [-6, 7]], axis=0, keepdims=True)754 run_test([[2, -3], [-6, 7]], axis=1)755 run_test([[2, -3], [-6, 7]], axis=1, keepdims=True)756 run_test([[2, -3], [-6, 7]], axis=(0, 1))757 run_test([[2, -3], [-6, 7]], axis=(1, 0))758 def testSum(self):759 self._testReduce(np_array_ops.sum, np.sum, 'sum')760 def testAmax(self):761 self._testReduce(np_array_ops.amax, np.amax, 'amax')762 def testSize(self):763 def run_test(arr, axis=None):764 onp_arr = np.array(arr)765 self.assertEqual(np_array_ops.size(arr, axis), np.size(onp_arr, axis))766 run_test(np_array_ops.array([1]))767 run_test(np_array_ops.array([1, 2, 3, 4, 5]))768 run_test(np_array_ops.ones((2, 3, 2)))769 run_test(np_array_ops.ones((3, 2)))770 run_test(np_array_ops.zeros((5, 6, 7)))771 run_test(1)772 run_test(np_array_ops.ones((3, 2, 1)))773 run_test(constant_op.constant(5))774 run_test(constant_op.constant([1, 1, 1]))775 self.assertRaises(NotImplementedError, np_array_ops.size, np.ones((2, 2)),776 1)777 @def_function.function(input_signature=[778 tensor_spec.TensorSpec(dtype=dtypes.float64, shape=None)])779 def f(arr):780 arr = np_array_ops.asarray(arr)781 return np_array_ops.size(arr)782 self.assertEqual(f(np_array_ops.ones((3, 2))).numpy(), 6)783 def testRavel(self):784 def run_test(arr, *args, **kwargs):785 for fn in self.array_transforms:786 arg = fn(arr)787 self.match(788 np_array_ops.ravel(arg, *args, **kwargs),789 np.ravel(arg, *args, **kwargs))790 run_test(5)791 run_test(5.)792 run_test([])793 run_test([[]])794 run_test([[], []])795 run_test([1, 2, 3])796 run_test([1., 2., 3.])797 run_test([[1, 2], [3, 4]])798 run_test(np.arange(8).reshape((2, 2, 2)).tolist())799 def testReal(self):800 def run_test(arr, *args, **kwargs):801 for fn in self.array_transforms:802 arg = fn(arr)803 self.match(804 np_array_ops.real(arg, *args, **kwargs),805 np.array(np.real(arg, *args, **kwargs)))806 run_test(1)807 run_test(5.5)808 run_test(5 + 3j)809 run_test(3j)810 run_test([])811 run_test([1, 2, 3])812 run_test([1 + 5j, 2 + 3j])813 run_test([[1 + 5j, 2 + 3j], [1 + 7j, 2 + 8j]])814 def testRepeat(self):815 def run_test(arr, repeats, *args, **kwargs):816 for fn1 in self.array_transforms:817 for fn2 in self.array_transforms:818 arr_arg = fn1(arr)819 repeats_arg = fn2(repeats)820 self.match(821 np_array_ops.repeat(arr_arg, repeats_arg, *args, **kwargs),822 np.repeat(arr_arg, repeats_arg, *args, **kwargs))823 run_test(1, 2)824 run_test([1, 2], 2)825 run_test([1, 2], [2])826 run_test([1, 2], [1, 2])827 run_test([[1, 2], [3, 4]], 3, axis=0)828 run_test([[1, 2], [3, 4]], 3, axis=1)829 run_test([[1, 2], [3, 4]], [3], axis=0)830 run_test([[1, 2], [3, 4]], [3], axis=1)831 run_test([[1, 2], [3, 4]], [3, 2], axis=0)832 run_test([[1, 2], [3, 4]], [3, 2], axis=1)833 run_test([[1, 2], [3, 4]], [3, 2], axis=-1)834 run_test([[1, 2], [3, 4]], [3, 2], axis=-2)835 def testAround(self):836 def run_test(arr, *args, **kwargs):837 for fn in self.array_transforms:838 arg = fn(arr)839 self.match(840 np_array_ops.around(arg, *args, **kwargs),841 np.around(arg, *args, **kwargs))842 run_test(5.5)843 run_test(5.567, decimals=2)844 run_test([])845 run_test([1.27, 2.49, 2.75], decimals=1)846 run_test([23.6, 45.1], decimals=-1)847 def testReshape(self):848 def run_test(arr, newshape, *args, **kwargs):849 for fn1 in self.array_transforms:850 for fn2 in self.array_transforms:851 arr_arg = fn1(arr)852 newshape_arg = fn2(newshape)853 self.match(854 np_array_ops.reshape(arr_arg, newshape_arg, *args, **kwargs),855 np.reshape(arr_arg, newshape, *args, **kwargs))856 run_test(5, [-1])857 run_test([], [-1])858 run_test([1, 2, 3], [1, 3])859 run_test([1, 2, 3], [3, 1])860 run_test([1, 2, 3, 4], [2, 2])861 run_test([1, 2, 3, 4], [2, 1, 2])862 def testExpandDims(self):863 def run_test(arr, axis):864 self.match(np_array_ops.expand_dims(arr, axis), np.expand_dims(arr, axis))865 run_test([1, 2, 3], 0)866 run_test([1, 2, 3], 1)867 def testSqueeze(self):868 def run_test(arr, *args, **kwargs):869 for fn in self.array_transforms:870 arg = fn(arr)871 # Note: np.squeeze ignores the axis arg for non-ndarray objects.872 # This looks like a bug: https://github.com/numpy/numpy/issues/8201873 # So we convert the arg to np.ndarray before passing to np.squeeze.874 self.match(875 np_array_ops.squeeze(arg, *args, **kwargs),876 np.squeeze(np.array(arg), *args, **kwargs))877 run_test(5)878 run_test([])879 run_test([5])880 run_test([[1, 2, 3]])881 run_test([[[1], [2], [3]]])882 run_test([[[1], [2], [3]]], axis=0)883 run_test([[[1], [2], [3]]], axis=2)884 run_test([[[1], [2], [3]]], axis=(0, 2))885 run_test([[[1], [2], [3]]], axis=-1)886 run_test([[[1], [2], [3]]], axis=-3)887 def testTranspose(self):888 def run_test(arr, axes=None):889 for fn1 in self.array_transforms:890 for fn2 in self.array_transforms:891 arr_arg = fn1(arr)892 axes_arg = fn2(axes) if axes is not None else None893 self.match(894 np_array_ops.transpose(arr_arg, axes_arg),895 np.transpose(arr_arg, axes))896 run_test(5)897 run_test([])898 run_test([5])899 run_test([5, 6, 7])900 run_test(np.arange(30).reshape(2, 3, 5).tolist())901 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [0, 1, 2])902 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [0, 2, 1])903 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [1, 0, 2])904 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [1, 2, 0])905 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [2, 0, 1])906 run_test(np.arange(30).reshape(2, 3, 5).tolist(), [2, 1, 0])907 def match_shape(self, actual, expected, msg=None):908 if msg:909 msg = 'Shape match failed for: {}. Expected: {} Actual: {}'.format(910 msg, expected.shape, actual.shape)911 self.assertEqual(actual.shape, expected.shape, msg=msg)912 def match_dtype(self, actual, expected, msg=None):913 if msg:914 msg = 'Dtype match failed for: {}. Expected: {} Actual: {}.'.format(915 msg, expected.dtype, actual.dtype)916 self.assertEqual(actual.dtype, expected.dtype, msg=msg)917 def match(self, actual, expected, msg=None, check_dtype=True):918 msg_ = 'Expected: {} Actual: {}'.format(expected, actual)919 if msg:920 msg = '{} {}'.format(msg_, msg)921 else:922 msg = msg_923 self.assertIsInstance(actual, np_arrays.ndarray)924 if check_dtype:925 self.match_dtype(actual, expected, msg)926 self.match_shape(actual, expected, msg)927 if not actual.shape.rank:928 self.assertAllClose(actual.tolist(), expected.tolist())929 else:930 self.assertAllClose(actual.tolist(), expected.tolist())931 def testPad(self):932 t = [[1, 2, 3], [4, 5, 6]]933 paddings = [[934 1,935 1,936 ], [2, 2]]937 self.assertAllEqual(938 np_array_ops.pad(t, paddings, 'constant'),939 [[0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 3, 0, 0], [0, 0, 4, 5, 6, 0, 0],940 [0, 0, 0, 0, 0, 0, 0]])941 self.assertAllEqual(942 np_array_ops.pad(t, paddings, 'reflect'),943 [[6, 5, 4, 5, 6, 5, 4], [3, 2, 1, 2, 3, 2, 1], [6, 5, 4, 5, 6, 5, 4],944 [3, 2, 1, 2, 3, 2, 1]])945 self.assertAllEqual(946 np_array_ops.pad(t, paddings, 'symmetric'),947 [[2, 1, 1, 2, 3, 3, 2], [2, 1, 1, 2, 3, 3, 2], [5, 4, 4, 5, 6, 6, 5],948 [5, 4, 4, 5, 6, 6, 5]])949 def testTake(self):950 a = [4, 3, 5, 7, 6, 8]951 indices = [0, 1, 4]952 self.assertAllEqual([4, 3, 6], np_array_ops.take(a, indices))953 indices = [[0, 1], [2, 3]]954 self.assertAllEqual([[4, 3], [5, 7]], np_array_ops.take(a, indices))955 a = [[4, 3, 5], [7, 6, 8]]956 self.assertAllEqual([[4, 3], [5, 7]], np_array_ops.take(a, indices))957 a = np.random.rand(2, 16, 3)958 axis = 1959 self.assertAllEqual(960 np.take(a, indices, axis=axis),961 np_array_ops.take(a, indices, axis=axis))962 def testWhere(self):963 self.assertAllEqual([[1.0, 1.0], [1.0, 1.0]],964 np_array_ops.where([True], [1.0, 1.0],965 [[0, 0], [0, 0]]))966 def testShape(self):967 self.assertAllEqual((1, 2), np_array_ops.shape([[0, 0]]))968 def testSwapaxes(self):969 x = [[1, 2, 3]]970 self.assertAllEqual([[1], [2], [3]], np_array_ops.swapaxes(x, 0, 1))971 self.assertAllEqual([[1], [2], [3]], np_array_ops.swapaxes(x, -2, -1))972 x = [[[0, 1], [2, 3]], [[4, 5], [6, 7]]]973 self.assertAllEqual([[[0, 4], [2, 6]], [[1, 5], [3, 7]]],974 np_array_ops.swapaxes(x, 0, 2))975 self.assertAllEqual([[[0, 4], [2, 6]], [[1, 5], [3, 7]]],976 np_array_ops.swapaxes(x, -3, -1))977 def testMoveaxis(self):978 def _test(*args):979 # pylint: disable=no-value-for-parameter980 expected = np.moveaxis(*args)981 raw_ans = np_array_ops.moveaxis(*args)982 self.assertAllEqual(expected, raw_ans)983 a = np.random.rand(1, 2, 3, 4, 5, 6)984 # Basic985 _test(a, (0, 2), (3, 5))986 _test(a, (0, 2), (-1, -3))987 _test(a, (-6, -4), (3, 5))988 _test(a, (-6, -4), (-1, -3))989 _test(a, 0, 4)990 _test(a, -6, -2)991 _test(a, tuple(range(6)), tuple(range(6)))992 _test(a, tuple(range(6)), tuple(reversed(range(6))))993 _test(a, (), ())994 def testNdim(self):995 self.assertAllEqual(0, np_array_ops.ndim(0.5))996 self.assertAllEqual(1, np_array_ops.ndim([1, 2]))997 def testIsscalar(self):998 self.assertTrue(np_array_ops.isscalar(0.5))999 self.assertTrue(np_array_ops.isscalar(5))1000 self.assertTrue(np_array_ops.isscalar(False))1001 self.assertFalse(np_array_ops.isscalar([1, 2]))1002 def assertListEqual(self, a, b):1003 self.assertAllEqual(len(a), len(b))1004 for x, y in zip(a, b):1005 self.assertAllEqual(x, y)1006 def testSplit(self):1007 x = np_array_ops.arange(9)1008 y = np_array_ops.split(x, 3)1009 self.assertListEqual([([0, 1, 2]), ([3, 4, 5]), ([6, 7, 8])], y)1010 x = np_array_ops.arange(8)1011 y = np_array_ops.split(x, [3, 5, 6, 10])1012 self.assertListEqual([([0, 1, 2]), ([3, 4]), ([5]), ([6, 7]), ([])], y)1013 def testSign(self):1014 state = np.random.RandomState(0)1015 test_types = [np.float16, np.float32, np.float64, np.int32, np.int64,1016 np.complex64, np.complex128]1017 test_shapes = [(), (1,), (2, 3, 4), (2, 3, 0, 4)]1018 for dtype in test_types:1019 for shape in test_shapes:1020 if np.issubdtype(dtype, np.complexfloating):1021 arr = (np.asarray(state.randn(*shape) * 100, dtype=dtype) +1022 1j * np.asarray(state.randn(*shape) * 100, dtype=dtype))1023 else:1024 arr = np.asarray(state.randn(*shape) * 100, dtype=dtype)1025 self.match(np_array_ops.sign(arr), np.sign(arr))1026class ArrayManipulationTest(test.TestCase):1027 def setUp(self):1028 super(ArrayManipulationTest, self).setUp()1029 self.array_transforms = [1030 lambda x: x,1031 ops.convert_to_tensor,1032 np.array,1033 np_array_ops.array,1034 ]1035 def testBroadcastTo(self):1036 def run_test(arr, shape):1037 for fn in self.array_transforms:1038 arg1 = fn(arr)1039 self.match(1040 np_array_ops.broadcast_to(arg1, shape),1041 np.broadcast_to(arg1, shape))1042 run_test(1, 2)1043 run_test(1, (2, 2))1044 run_test([1, 2], (2, 2))1045 run_test([[1], [2]], (2, 2))1046 run_test([[1, 2]], (3, 2))1047 run_test([[[1, 2]], [[3, 4]], [[5, 6]]], (3, 4, 2))1048 def testIx_(self):1049 possible_arys = [[True, True], [True, False], [False, False],1050 list(range(5)), np_array_ops.empty(0, dtype=np.int64)]1051 for r in range(len(possible_arys)):1052 for arys in itertools.combinations_with_replacement(possible_arys, r):1053 tnp_ans = np_array_ops.ix_(*arys)1054 onp_ans = np.ix_(*arys)1055 for t, o in zip(tnp_ans, onp_ans):1056 self.match(t, o)1057 def match_shape(self, actual, expected, msg=None):1058 if msg:1059 msg = 'Shape match failed for: {}. Expected: {} Actual: {}'.format(1060 msg, expected.shape, actual.shape)1061 self.assertEqual(actual.shape, expected.shape, msg=msg)...
App.js
Source:App.js
1import * as React from 'react';2import { AppRegistry, Platform, StyleSheet, View, Image, StatusBar, TouchableOpacity, ScrollView } from 'react-native';3import HTMLView from 'react-native-htmlview';4import { Avatar, Button, DefaultTheme, Text, Modal, Portal, Provider as PaperProvider, Snackbar, TextInput, ActivityIndicator, Appbar, Surface, Title, Caption, Subheading, Paragraph, RadioButton, Checkbox } from 'react-native-paper';5import { name as appName } from './app.json';6import magnox_logo from './assets/logo.png';7const API_URI = "localhost:3000";8const theme = {9 ...DefaultTheme,10 roundness: 2,11 colors: {12 ...DefaultTheme.colors,13 placeholder: "#42c5f5", primary: "#42c5f5",14 surface: "#42c5f5",15 accent: '#f1c40f',16 },17};18const styles = Platform.select({19 web: StyleSheet.create({20 login: {21 flexDirection: "column",22 alignItems: "center",23 justifyContent: "center",24 flex: 125 },26 loginPasscodeContainer: {27 paddingLeft: 50,28 paddingRight: 50,29 paddingTop: 250,30 flexDirection: "column",31 justifyContent: "center",32 flex: 1,33 width: 64034 },35 loginButton: {36 marginTop: 1037 },38 loginButtonContent: {39 height: 5040 },41 loginButtonText: {42 color: "#ffffff"43 },44 loginLogo: {45 width: 250,46 height: 250,47 resizeMode: "contain"48 },49 loginLogoContainer: {50 alignItems: "center"51 },52 error: {53 flexDirection: "row",54 backgroundColor: "#f00",55 width: 640,56 alignSelf: "center"57 },58 errorText: {59 color: "#fff",60 flex: 161 },62 testLogo: {63 width: 240,64 height: 100,65 resizeMode: "cover"66 },67 test: {68 flexDirection: "column",69 flex: 170 },71 testContainer: {72 flexDirection: "row"73 },74 testCanDetails: {75 margin: 10,76 flex: 1,77 padding: 1078 },79 testDetails: {80 margin: 10,81 flex: 2,82 padding: 1083 },84 top: {85 backgroundColor: "#efefef",86 flexDirection: "row",87 justifyContent: "space-between",88 alignItems: "center",89 padding: 590 },91 topLogo: {92 alignItems: "center",93 flexDirection: "row",94 flex: 1,95 },96 testSections: {97 flexDirection: "row",98 alignSelf: "stretch",99 backgroundColor: "#ffffe0",100 margin: 10101 },102 testSection: {103 margin: 10104 },105 testInstructions: {106 alignSelf: "stretch",107 backgroundColor: "#e0ffef",108 alignContent: "stretch",109 margin: 10,110 padding: 5111 },112 testTitle: {113 textAlign: "center",114 },115 testInfo: {116 flexDirection: "row",117 justifyContent: "space-evenly",118 margin: 10,119 backgroundColor: "#e0efff"120 },121 testEntry: {122 alignItems: "center",123 padding: 10,124 margin: 10125 },126 runTestContainer: {127 flex: 1,128 flexDirection: "row",129 },130 question: {131 alignSelf: "flex-start",132 padding: 50,133 flex: 3,134 margin: 10,135 fontSize: 25136 },137 questionT1: {138 padding: 20139 },140 questionT2: {141 padding: 20142 },143 questionT3: {144 padding: 20145 },146 runTestControls: {147 backgroundColor: "#efefef",148 flexDirection: "row",149 justifyContent: "space-evenly",150 padding: 10151 },152 runTestQIndicesContainer: {153 backgroundColor: "#e0efff",154 margin: 10,155 flex: 1156 },157 runTestQIndices: {158 padding: 10,159 flexDirection: "row",160 flexWrap: "wrap",161 justifyContent: "space-between"162 }163 }),164 default: StyleSheet.create({165 login: {166 flexDirection: "column",167 alignItems: "stretch",168 justifyContent: "center",169 flex: 1170 },171 loginPasscodeContainer: {172 paddingLeft: 50,173 paddingRight: 50,174 paddingTop: 250,175 flexDirection: "column",176 justifyContent: "center",177 flex: 1178 },179 loginButton: {180 marginTop: 10,181 zIndex: 3,182 elevation: 3183 },184 loginButtonContent: {185 height: 50186 },187 loginButtonText: {188 color: "#ffffff"189 },190 loginLogo: {191 width: 250,192 height: 250,193 resizeMode: "contain"194 },195 loginLogoContainer: {196 alignItems: "center"197 },198 error: {199 flexDirection: "row",200 backgroundColor: "#f00",201 },202 errorText: {203 color: "#fff",204 flex: 1205 },206 testLogo: {207 width: 240,208 height: 100,209 resizeMode: "cover"210 },211 test: {212 flexDirection: "column",213 flex: 1214 },215 testCanDetails: {216 margin: 10217 },218 testDetails: {219 margin: 10,220 padding: 10221 },222 top: {223 backgroundColor: "#efefef",224 flexDirection: "row",225 justifyContent: "space-between",226 alignItems: "center",227 padding: 5228 },229 testSections: {230 flexDirection: "row",231 alignSelf: "stretch",232 backgroundColor: "#ffffe0",233 margin: 10234 },235 testSection: {236 margin: 10237 },238 testInstructions: {239 backgroundColor: "#e0ffef",240 margin: 10,241 padding: 5242 },243 testTitle: {244 textAlign: "center",245 },246 testInfo: {247 flexDirection: "row",248 justifyContent: "space-evenly",249 margin: 10,250 backgroundColor: "#e0efff"251 },252 testEntry: {253 alignItems: "center",254 padding: 10,255 margin: 10256 },257 runTestContainer: {258 flex: 1,259 },260 question: {261 alignSelf: "flex-start",262 margin: 10,263 fontSize: 25264 },265 questionT1: {266 padding: 20267 },268 questionT2: {269 padding: 20270 },271 questionT3: {272 padding: 20273 },274 runTestControls: {275 backgroundColor: "#efefef",276 flexDirection: "row",277 justifyContent: "space-evenly",278 padding: 10279 },280 runTestQIndicesContainer: {281 backgroundColor: "#e0efff",282 margin: 10283 },284 runTestQIndices: {285 padding: 10,286 flexDirection: "row",287 flexWrap: "wrap",288 justifyContent: "space-between"289 }290 })291});292export default class Main extends React.Component {293 constructor(props) {294 super(props);295 this._state = {296 login: {297 passcode: "",298 },299 test: { "runtest_can": { "id": 14, "test_pub_id": "8", "can_id": "60", "pswd": "279684", "test_start_flag": true, "test_end_flag": false, "present_ques_id": "119", "create_date_time": "2020-12-15T12:45:59.000Z", "entry_date_time": "2020-12-15T12:22:14.000Z", "sec_id": "6", "test_start_dttm": "2020-12-15T12:22:14.000Z", "test_end_dttm": "2020-12-15T13:22:14.000Z" }, "user_details": { "id": "60", "first_name": "Aniruddha", "last_name": "Sarkar", "photo_sm": null, "photo_lg": null, "dateofbirth": "1998-01-03T18:30:00.000Z", "gender": "M", "maritalstatus": null, "email": "sarkar4540@gmail.com", "alt_email": null, "phone": "7548950804", "alt_phone": null, "bloodgroup": null, "aadhar_no": null, "website": null, "address": null, "pin": null, "facebook_link": null, "linkedin_link": null, "google_link": null, "mothertongue_id": null, "about_me": null, "resume_heading": null, "expected_ctc": null, "caste": null, "physical_challenge": null, "percentage_ph": null, "passport_no": null, "organization": null, "designation": null, "mothers_name": null, "mothers_occupation": null, "created_date_time": "2020-11-28T06:16:45.000Z", "modified_date_time": null, "city_id": null }, "test_pub": { "id": 8, "test_id": "5", "org_id": null, "user_id": "58", "publish_type": "1", "start_datetm": null, "create_date_time": "2020-12-03T14:08:29.000Z", "modified_date_time": null, "end_datetm": null, "testc": null, "tp_archive": false }, "test": { "id": 5, "cat_id": "21", "user_id": "58", "title": "College Test", "details": "<p>Write the Test Carefully <br></p>", "admin_flag": true, "duration": 60, "archive_status": false, "hint_display_status": null, "create_date_time": "2020-12-02T11:24:25.000Z", "modified_date_time": null, "scat_id": "0", "marks": 40, "publish": true }, "program": { "id": 21, "code": "TEST001 ", "title": "Nayarozgar", "type": "2 ", "category": "Corporate Program ", "duration": "12 ", "start_date": "2020-11-26T18:30:00.000Z", "end_date": "2021-11-10T18:30:00.000Z", "user_id": "58", "status": "approved ", "total_fee": " ", "total_credit": " ", "why_learn": null, "intro_video_link": null, "overview": "", "requirements": null, "curriculam": "", "selection_procedure": "", "program_brochure": null, "contact_info": null, "certificate_sample": null, "statusch_date": "2020-11-27T08:56:16.000Z", "date_added": "2020-11-27T08:13:57.000Z", "last_updated": null, "email": "himadri@cyanberg.com", "mobile": "9901072124", "facebook": null, "linkedin": null, "twitter": null, "student_enroll": 0, "teacher_enroll": 0, "fee_details": null, "banner": null, "lastdate_apply": null, "dtype": "month", "feetype": "Paid" }, "course": null },300 loading: false,301 error: false,302 testEntryTimeLeft: null,303 testEndTimeLeft: null,304 testEnded: false,305 run_test: null,306 runTestIndex: 0307 }308 this.state = this._state;309 }310 get(uri = "", body, cb) {311 this.setState({ loading: true })312 fetch(313 API_URI + "/" + uri,314 { method: "POST", headers: { "Content-Type": "application/json" }, body: body ? JSON.stringify(body) : "{}" }315 ).then(res => {316 if (res.status == 200) {317 res.json()318 .then(json => {319 if (cb) cb(json);320 })321 .catch(err => {322 this.setState({ ...this.state, error: err.message })323 console.log(err);324 })325 }326 else {327 res.json()328 .then(json => {329 this.setState({ error: json.message });330 })331 .catch(err => {332 this.setState({ error: "Error networking!" })333 console.log(err);334 })335 }336 }).catch(err => {337 this.setState({ error: err.message })338 console.log(err);339 }).finally(() => {340 this.setState({ loading: false });341 });342 }343 getTest() {344 this.get("test_info", { passcode: this.state.login.passcode }, test => {345 if (test.runtest_can) {346 this.setState({ test, error: null, login: null });347 if (test.runtest_can.test_end_dttm) {348 let test_end_dttm = new Date(test.runtest_can.test_end_dttm.replace(" ", "T"));349 var timer = setInterval(() => {350 if (this.state.run_test) {351 clearInterval(timer);352 }353 else if (test_end_dttm.getTime() > this.now()) {354 this.setState({ testEnded: false, testEndTimeLeft: this.timeDiff(test_end_dttm) });355 }356 else {357 this.setState({ testEnded: true })358 clearInterval(timer);359 }360 }, 1000);361 }362 }363 else {364 this.setState({ error: "Invalid passcode" })365 }366 })367 }368 runTest() {369 this.get("run_test", { passcode: this.state.test.runtest_can.pswd }, (run_test) => {370 if (run_test.success) {371 let test_end_dttm = new Date(run_test.runtest_can.test_end_dttm.replace(" ", "T"));372 var timer = setInterval(() => {373 if (test_end_dttm.getTime() > this.now() && this.state.run_test && !this.state.testEnded) {374 this.setState({ testEnded: false, testEndTimeLeft: this.timeDiff(test_end_dttm) });375 }376 else {377 this.setState({ testEnded: true });378 if (this.state.run_test) this.saveAnswerAndFinish();379 clearInterval(timer);380 }381 }, 1000);382 this.setState({ run_test, error: null });383 }384 else this.setState({ error: run_test.message ? run_test.message : "Some error occurred!" });385 });386 }387 saveAnswerAndShow(question_index) {388 this.get("save_answer",389 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 2390 ?391 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, run_test_option_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_option, present_ques_id: question_index }392 :393 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 3394 ?395 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, run_test_option_ids: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_options, present_ques_id: question_index }396 :397 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, answer_body: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].ans_body, present_ques_id: question_index },398 (response) => {399 if (response.success) {400 let run_test = this.state.run_test;401 run_test.runtest_can.present_ques_id = question_index;402 this.setState({ run_test });403 }404 else {405 this.setState({ error: response.message });406 }407 }408 )409 }410 saveAnswerAndFinish() {411 this.get("save_answer",412 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 2413 ?414 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, run_test_option_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_option, present_ques_id: this.state.run_test.runtest_can.present_ques_id }415 :416 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 3417 ?418 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, run_test_option_ids: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_options, present_ques_id: this.state.run_test.runtest_can.present_ques_id }419 :420 { passcode: this.state.run_test.runtest_can.pswd, run_test_id: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].id, answer_body: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].ans_body, present_ques_id: this.state.run_test.runtest_can.present_ques_id },421 (response) => {422 if (response.success) {423 this.get("finish_test", { passcode: this.state.run_test.runtest_can.pswd }, (response2) => {424 if (response2.success) {425 this.setState({ run_test: null, testEnded: true });426 }427 else this.setState({ error: response2.message });428 });429 }430 else {431 this.setState({ error: response.message });432 }433 }434 )435 }436 render() {437 return (438 <PaperProvider>439 <StatusBar />440 <Portal>441 <Modal442 dismissable={false}443 visible={this.state.loading}444 theme={theme}445 >446 <ActivityIndicator />447 </Modal>448 </Portal>449 {450 this.state.login ?451 <View style={styles.login} theme={theme}>452 <View style={styles.loginPasscodeContainer}>453 <TextInput454 label="Passcode"455 style={styles.loginPasscode}456 value={this.state.login.passcode}457 mode="outlined"458 secureTextEntry459 theme={theme}460 onChangeText={text => {461 this.setState({ login: { ...this.state.login, passcode: text } })462 }}463 onSubmitEditing={this.getTest.bind(this)}464 />465 <Button466 style={styles.loginButton}467 contentStyle={styles.loginButtonContent}468 labelStyle={styles.loginButtonText}469 mode="contained"470 color="#42c5f5"471 onPress={this.getTest.bind(this)}472 >Continue</Button>473 </View>474 <View style={styles.loginLogoContainer}>475 <Image style={styles.loginLogo} source={magnox_logo} />476 </View>477 </View>478 :479 this.state.test480 ?481 <View style={styles.test}>482 <Surface style={styles.top}>483 <View style={styles.topLogo}>484 <Image style={styles.testLogo} source={magnox_logo} />485 {486 this.state.run_test ?487 <View>488 <Caption>Time left to end</Caption>489 <Title>{this.state.testEndTimeLeft}</Title>490 </View>491 :492 null493 }494 </View>495 {496 this.state.run_test ?497 <Button498 style={styles.loginButton}499 contentStyle={styles.loginButtonContent}500 labelStyle={styles.loginButtonText}501 mode="contained"502 color="#42c5f5"503 onPress={() => this.saveAnswerAndFinish()}504 >Exit</Button>505 :506 <Button507 style={styles.loginButton}508 contentStyle={styles.loginButtonContent}509 labelStyle={styles.loginButtonText}510 mode="contained"511 color="#42c5f5"512 onPress={() => this.setState(this._state)}513 >Exit</Button>514 }515 </Surface>516 <ScrollView>517 {518 !this.state.run_test ?519 <View style={styles.testContainer}>520 <Surface style={styles.testCanDetails}>521 <Caption>522 Name523 </Caption>524 <Title>525 {this.state.test.user_details.first_name} 526 {this.state.test.user_details.last_name}527 </Title>528 <Caption>529 Email530 </Caption>531 <Subheading>532 {this.state.test.user_details.email}533 </Subheading>534 <Caption>535 Phone536 </Caption>537 <Subheading>538 {this.state.test.user_details.phone}539 </Subheading>540 <Caption>541 Program542 </Caption>543 <Subheading>544 {this.state.test.program.title}545 </Subheading>546 {547 this.state.test.course548 ?549 <View>550 <Caption>551 Course552 </Caption>553 <Subheading>554 {this.state.test.course.title} 555 </Subheading>556 </View>557 :558 null559 }560 </Surface>561 <Surface style={styles.testDetails}>562 <Title style={styles.testTitle}>563 {this.state.test.test.title}564 </Title>565 <Surface style={styles.testInfo}>566 {567 this.state.test.test_pub.publish_type == 1568 ?569 <View>570 <Caption>571 Start Time572 </Caption>573 <Subheading>574 Any575 </Subheading>576 </View>577 :578 this.state.test.test_pub.publish_type == 2579 ?580 <View>581 <Caption>582 Start Time583 </Caption>584 <Subheading>585 {this.then(this.state.test.test_pub.start_datetm.replace(" ", "T"))}586 </Subheading>587 </View>588 :589 <View>590 <Caption>591 Start Time592 </Caption>593 <Subheading>594 from {this.then(this.state.test.test_pub.start_datetm.replace(" ", "T"))} to {this.then(this.state.test.test_pub.end_datetm.replace(" ", "T"))}595 </Subheading>596 </View>597 }598 <View>599 <Caption>600 Duration601 </Caption>602 <Subheading>603 {this.state.test.test.duration} Minutes604 </Subheading>605 </View>606 </Surface>607 <Surface style={styles.testSections}>608 {609 this.state.test.sections.map(section => <View style={styles.testSection}>610 <Caption>611 {section.section_name}612 </Caption>613 <Subheading>614 {section.count} Questions615 </Subheading>616 </View>)617 }618 </Surface>619 <Surface style={styles.testInstructions}>620 <Subheading>Instructions</Subheading>621 {622 Platform.OS === 'web'623 ?624 <div dangerouslySetInnerHTML={{ __html: this.state.test.test.details }} />625 :626 <HTMLView value={this.state.test.test.details} />627 }628 </Surface>629 {630 this.state.test.runtest_can.test_start_flag631 ?632 <Surface style={styles.testEntry}>633 <View>634 <Caption>Test attempted at</Caption>635 <Title>{this.then(this.state.test.runtest_can.test_start_dttm.replace(" ", "T"))}</Title>636 </View>637 {638 this.state.testEnded639 ?640 <View>641 <Caption>Test ended at</Caption>642 <Title>{this.then(this.state.test.runtest_can.test_end_dttm.replace(" ", "T"))}</Title>643 </View>644 :645 <View>646 <Caption>Time left to end</Caption>647 <Title>{this.state.testEndTimeLeft}</Title>648 <Button649 style={styles.loginButton}650 contentStyle={styles.loginButtonContent}651 labelStyle={styles.loginButtonText}652 mode="contained"653 color="#42c5f5"654 onPress={this.runTest.bind(this)}655 >Re-enter</Button>656 </View>657 }658 </Surface>659 :660 <Surface style={styles.testEntry}>661 {662 this.state.testEntryTimeLeft663 ?664 <View>665 <Caption>Time left to start</Caption>666 <Title>{this.state.testEntryTimeLeft}</Title>667 </View>668 :669 this.state.test.test_pub.publish_type != 1 && new Date(this.state.test.test_pub.end_datetm.replace(" ", "T")).getTime() < this.now()670 ?671 <View>672 <Caption>Time to attempt test is over at</Caption>673 <Title>{this.then(this.state.test.test_pub.end_datetm.replace(" ", "T"))}</Title>674 </View>675 :676 <Button677 style={styles.loginButton}678 contentStyle={styles.loginButtonContent}679 labelStyle={styles.loginButtonText}680 mode="contained"681 color="#42c5f5"682 onPress={() => {683 let start_datetm = this.state.test.test_pub.publish_type == 1 ? new Date(this.now()) : new Date(this.state.test.test_pub.start_datetm.replace(" ", "T"));684 let timer = setInterval(() => {685 if (start_datetm.getTime() < this.now()) {686 clearInterval(timer);687 this.get("start_test", { passcode: this.state.test.runtest_can.pswd }, (response) => {688 if (response.success) {689 this.runTest.bind(this)();690 this.setState({ error: null, testEntryTimeLeft: null });691 }692 else this.setState({ error: response.message ? response.message : "Some error occurred!", testEntryTimeLeft: null });693 });694 }695 else {696 this.setState({697 testEntryTimeLeft: this.timeDiff(start_datetm)698 })699 }700 }, 1000);701 }}702 >Continue</Button>703 }704 </Surface>705 }706 </Surface>707 </View>708 :709 <View style={styles.runTestContainer}>710 {711 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id]712 ?713 <Surface style={styles.question}>714 <Subheading>Question {this.state.run_test.runtest_can.present_ques_id + 1} of {this.state.run_test.questions.length}</Subheading>715 {716 Platform.OS === 'web'717 ?718 <div dangerouslySetInnerHTML={{ __html: this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].qbody }} />719 :720 <HTMLView value={this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].qbody} />721 }722 {723 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 2724 ?725 <RadioButton.Group value={this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_option} onValueChange={(val) => {726 let run_test = this.state.run_test;727 run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_option = val;728 run_test.questions[this.state.run_test.runtest_can.present_ques_id].status = 1;729 this.setState({ run_test });730 }} style={styles.questionT2}>731 {this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].options.map(option => <RadioButton.Item label={732 Platform.OS === 'web'733 ?734 <div dangerouslySetInnerHTML={{ __html: option.body }} />735 :736 <HTMLView value={option.body} />737 } value={option.id} />)}738 </RadioButton.Group>739 :740 this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].type_id == 3741 ?742 <View style={styles.questionT3}>743 {this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].options.map(option, index => <Checkbox.Item label={744 Platform.OS === 'web'745 ?746 <div dangerouslySetInnerHTML={{ __html: option.body }} />747 :748 <HTMLView value={option.body} />749 }750 onPress={() => {751 let run_test = this.state.run_test;752 if (option.id in run_test.questions[run_test.runtest_can.present_ques_id].selected_options) {753 run_test.questions[run_test.runtest_can.present_ques_id].selected_options = run_test.questions[run_test.runtest_can.present_ques_id].selected_options.filter(e => e != option.id);754 }755 else {756 run_test.questions[run_test.runtest_can.present_ques_id].selected_options.push(option.id);757 }758 run_test.questions[run_test.runtest_can.present_ques_id].status = 1;759 this.setState({ run_test });760 }}761 status={option.id in this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].selected_options ? 'checked' : 'unchecked'} />)}762 </View>763 :764 <TextInput765 multiline766 label="Answer"767 style={styles.questionT1}768 value={this.state.run_test.questions[this.state.run_test.runtest_can.present_ques_id].ans_body}769 onChangeText={text => {770 let run_test = this.state.run_test;771 run_test.questions[run_test.runtest_can.present_ques_id].ans_body = text;772 run_test.questions[run_test.runtest_can.present_ques_id].status = 1;773 this.setState({ run_test });774 }}775 />776 }777 <Surface style={styles.runTestControls}>778 <Button779 style={styles.loginButton}780 contentStyle={styles.loginButtonContent}781 labelStyle={styles.loginButtonText}782 mode="contained"783 color="#42c5f5"784 onPress={() => this.saveAnswerAndShow((parseInt(this.state.run_test.runtest_can.present_ques_id) - 1) % this.state.run_test.questions.length)}785 >Previous</Button>786 <Button787 style={styles.loginButton}788 contentStyle={styles.loginButtonContent}789 labelStyle={styles.loginButtonText}790 mode="contained"791 color="#42c5f5"792 onPress={() => {793 let run_test = this.state.run_test;794 if (run_test.questions[run_test.runtest_can.present_ques_id].type_id == 2) {795 run_test.questions[run_test.runtest_can.present_ques_id].selected_option = 0;796 }797 else if (run_test.questions[run_test.runtest_can.present_ques_id].type_id == 3) {798 run_test.questions[run_test.runtest_can.present_ques_id].selected_options = [];799 }800 else {801 run_test.questions[run_test.runtest_can.present_ques_id].ans_body = null;802 }803 run_test.questions[run_test.runtest_can.present_ques_id].status = 0;804 this.setState({ run_test })805 }}806 >Clear</Button>807 <Button808 style={styles.loginButton}809 contentStyle={styles.loginButtonContent}810 labelStyle={styles.loginButtonText}811 mode="contained"812 color="#42c5f5"813 onPress={() => {814 if (this.state.run_test.runtest_can.present_ques_id == this.state.run_test.questions.length - 1) this.saveAnswerAndFinish();815 else this.saveAnswerAndShow((parseInt(this.state.run_test.runtest_can.present_ques_id) + 1) % this.state.run_test.questions.length)816 }817 }818 >{this.state.run_test.runtest_can.present_ques_id == this.state.run_test.questions.length - 1 ? "Finish" : "Next"}</Button>819 </Surface>820 </Surface>821 :822 null823 }824 <Surface style={styles.runTestQIndicesContainer}>825 <ScrollView>826 <View style={styles.runTestQIndices}>827 {this.state.run_test.questions.map((question, index) => {828 return <TouchableOpacity style={{ margin: 5 }} onPress={() => this.saveAnswerAndShow(index)}>829 <Avatar.Text style={{ backgroundColor: this.state.run_test.runtest_can.present_ques_id == index ? "#42c5f5" : question.status == 0 ? "#ff5050" : "#50ff50" }} size={50} label={index + 1} />830 </TouchableOpacity>831 })}832 </View>833 </ScrollView>834 </Surface>835 </View>836 }837 </ScrollView>838 </View>839 :840 null841 }842 <Snackbar843 visible={this.state.error}844 onDismiss={() => {845 this.setState({ error: false });846 }}847 style={styles.error}848 action={{849 label: 'Close',850 onPress: () => this.setState({ error: false })851 }}852 theme={theme}853 >854 <Text style={styles.errorText}>{this.state.error}</Text>855 </Snackbar>856 </PaperProvider >857 );858 }859 timeDiff(date) {860 let diff = new Date(date.getTime() - this.now());861 return (diff.getUTCMonth() ? diff.getUTCMonth() + " month(s) " : "") +862 ((diff.getUTCDate() - 1) > 0 ? (diff.getUTCDate() - 1) + " day(s) " : "") +863 (diff.getUTCHours() ? diff.getUTCHours() + " hour(s) " : "") +864 (diff.getUTCMinutes() ? diff.getUTCMinutes() + " minute(s) " : "") +865 (diff.getUTCSeconds() ? diff.getUTCSeconds() + " second(s) " : "");866 }867 now() {868 let curdate = new Date();869 return curdate.getTime() + (Platform.OS === 'web' ? curdate.getTimezoneOffset() * 60000 : 0);870 }871 then(date_str) {872 let curdate = new Date();873 let date = new Date(date_str);874 date = new Date(date.getTime() - (Platform.OS === 'web' ? curdate.getTimezoneOffset() * 60000 : 0));875 return date.getFullYear() + "-" + (date.getMonth() + 1) + "-" + date.getDate() + " " + date.getHours() + ":" + date.getMinutes() + ":" + date.getSeconds();876 }877}...
test_features_runner.py
Source:test_features_runner.py
...88 UniformRangeSelectionActivationTest89layers = tf.keras.layers90class FeatureNetworkTest(unittest.TestCase):91 def test_edit_error_method(self):92 EditActivationErrorMethod(self).run_test()93 def test_change_qc_attr(self):94 ChangeFinalWeightQCAttrTest(self).run_test()95 ChangeFinalActivationQCAttrTest(self).run_test()96 def test_bias_correction_dw(self):97 BiasCorrectionDepthwiseTest(self).run_test()98 def test_lut_quantizer(self):99 LUTQuantizerTest(self).run_test()100 def test_remove_upper_bound(self):101 RemoveUpperBoundTest(self).run_test()102 def test_reused_separable_mixed_precision(self):103 ReusedSeparableMixedPrecisionTest(self).run_test()104 def test_reused_layer_mixed_precision(self):105 ReusedLayerMixedPrecisionTest(self).run_test()106 def test_reuse_separable(self):107 ReusedSeparableTest(self).run_test()108 def test_mixed_precision_search_kpi_2bits_avg(self):109 MixedPercisionSearchKPI2BitsAvgTest(self).run_test()110 def test_mixed_precision_search_kpi_4bits_avg(self):111 MixedPercisionSearchKPI4BitsAvgTest(self).run_test()112 def test_mixed_precision_search(self):113 MixedPercisionSearchTest(self).run_test()114 def test_mixed_precision_activation_disabled(self):115 MixedPrecisionActivationDisabled(self).run_test()116 def test_mixed_precision_dw(self):117 MixedPercisionDepthwiseTest(self).run_test()118 def test_mixed_precision_activation_search(self):119 MixedPrecisionActivationSearchTest(self).run_test()120 def test_mixed_precision_activation_only(self):121 MixedPrecisionActivationOnlyTest(self).run_test()122 def test_mixed_precision_activation_only_weights_disabled(self):123 MixedPrecisionActivationOnlyWeightsDisabledTest(self).run_test()124 def test_mixed_precision_activation_search_kpi_4bits_avg(self):125 MixedPrecisionActivationSearchKPI4BitsAvgTest(self).run_test()126 def test_mixed_precision_activation_search_kpi_2bits_avg(self):127 MixedPrecisionActivationSearchKPI2BitsAvgTest(self).run_test()128 def test_mixed_precision_activation_dw(self):129 MixedPrecisionActivationDepthwiseTest(self).run_test()130 def test_mixed_precision_activation_dw_4bit(self):131 MixedPrecisionActivationDepthwise4BitTest(self).run_test()132 def test_mixed_precision_activation_add(self):133 MixedPrecisionActivationAddLayerTest(self).run_test()134 def test_mixed_precision_activation_split(self):135 MixedPrecisionActivationSplitLayerTest(self).run_test()136 def test_mixed_precision_activation_multiple_inputs(self):137 MixedPrecisionActivationMultipleInputsTest(self).run_test()138 def test_mixed_precision_total_kpi(self):139 MixedPrecisionTotalKPISearchTest(self).run_test()140 def test_mixed_precision_multiple_kpis_tight(self):141 MixedPrecisionMultipleKPIsTightSearchTest(self).run_test()142 def test_mixed_precision_reduced_total_kpi(self):143 MixedPrecisionReducedTotalKPISearchTest(self).run_test()144 def test_name_filter(self):145 NameFilterTest(self).run_test()146 def test_scope_filter(self):147 ScopeFilterTest(self).run_test()148 def test_type_filter(self):149 TypeFilterTest(self).run_test()150 def test_add_same(self):151 AddSameTest(self).run_test()152 def test_scale_equalization(self):153 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2D(3, 4)).run_test()154 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2DTranspose(3, 4)).run_test()155 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4)).run_test()156 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2D(3, 4),157 zero_pad=True).run_test()158 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2DTranspose(3, 4),159 zero_pad=True).run_test()160 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4),161 zero_pad=True).run_test()162 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2D(3, 4),163 act_node=tf.nn.relu).run_test()164 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2DTranspose(3, 4),165 act_node=tf.nn.relu).run_test()166 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4),167 act_node=tf.nn.relu).run_test()168 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2D(3, 4),169 act_node=tf.nn.relu, zero_pad=True).run_test()170 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.Conv2DTranspose(3, 4),171 act_node=tf.nn.relu, zero_pad=True).run_test()172 ScaleEqualizationTest(self, first_op2d=layers.Conv2D(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4),173 act_node=tf.nn.relu, zero_pad=True).run_test()174 ScaleEqualizationTest(self, first_op2d=layers.Conv2DTranspose(3, 4), second_op2d=layers.Conv2D(3, 4)).run_test()175 ScaleEqualizationTest(self, first_op2d=layers.DepthwiseConv2D(3, 4), second_op2d=layers.Conv2DTranspose(3, 4)176 ).run_test()177 ScaleEqualizationTest(self, first_op2d=layers.DepthwiseConv2D(3, 4), second_op2d=layers.Conv2D(3, 4),178 zero_pad=True).run_test()179 ScaleEqualizationTest(self, first_op2d=layers.Conv2DTranspose(3, 4), second_op2d=layers.Conv2DTranspose(3, 4),180 zero_pad=True).run_test()181 ScaleEqualizationTest(self, first_op2d=layers.DepthwiseConv2D(3, 4), second_op2d=layers.Conv2D(3, 4),182 act_node=tf.nn.relu).run_test()183 ScaleEqualizationTest(self, first_op2d=layers.Conv2DTranspose(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4),184 act_node=tf.nn.relu).run_test()185 ScaleEqualizationTest(self, first_op2d=layers.Conv2DTranspose(3, 4), second_op2d=layers.Conv2DTranspose(3, 4),186 act_node=tf.nn.relu, zero_pad=True).run_test()187 ScaleEqualizationTest(self, first_op2d=layers.DepthwiseConv2D(3, 4), second_op2d=layers.DepthwiseConv2D(3, 4),188 act_node=tf.nn.relu, zero_pad=True).run_test()189 def test_multiple_inputs_model(self):190 MultipleInputsModelTest(self).run_test()191 def test_output_in_middle(self):192 OutputInMiddleTest(self).run_test()193 def test_conv_bn_relu_residual(self):194 ConvBnReluResidualTest(self).run_test()195 def test_split_concat(self):196 SplitConcatenateTest(self).run_test()197 def test_multiple_output_nodes_multiple_tensors(self):198 MultipleOutputNodesMultipleTensors(self).run_test()199 def test_reused_layer(self):200 ReusedLayerTest(self).run_test()201 def test_nested_model_multiple_inputs(self):202 NestedModelMultipleInputsTest(self).run_test()203 def test_nested_model_multiple_outputs(self):204 NestedModelMultipleOutputsTest(self).run_test()205 def test_nested_model_unused_inputs_outputs(self):206 NestedModelUnusedInputsOutputsTest(self).run_test()207 def test_nested_model(self):208 NestedTest(self).run_test()209 NestedTest(self, is_inner_functional=False).run_test()210 def test_shift_neg_activation_conv2d(self):211 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, 4),212 activation_op_to_test=layers.Activation('swish')).run_test()213 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, 4, strides=3),214 activation_op_to_test=layers.Activation('swish')).run_test()215 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (3, 4), strides=2),216 activation_op_to_test=layers.Activation('swish')).run_test()217 def test_shift_neg_activation_conv2d_pad_same(self):218 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (5, 7), padding='same'),219 activation_op_to_test=layers.Activation('swish')).run_test()220 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (5, 7), padding='same', strides=3),221 activation_op_to_test=layers.Activation('swish')).run_test()222 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (7, 5), padding='same', strides=4),223 activation_op_to_test=layers.Activation('swish')).run_test()224 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (8, 10), padding='same', strides=5),225 activation_op_to_test=layers.Activation('swish')).run_test()226 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (10, 8), padding='same', strides=6),227 activation_op_to_test=layers.Activation('swish')).run_test()228 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (5, 7), padding='same', strides=(4, 6)),229 activation_op_to_test=layers.Activation('swish')).run_test()230 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (7, 5), padding='same', strides=(6, 4)),231 activation_op_to_test=layers.Activation('swish')).run_test()232 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (8, 10), padding='same', strides=(5, 7)),233 activation_op_to_test=layers.Activation('swish')).run_test()234 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (10, 8), padding='same', strides=(7, 5)),235 activation_op_to_test=layers.Activation('swish')).run_test()236 def test_shift_neg_activation_pad_conv2d(self):237 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (5, 7)),238 activation_op_to_test=layers.Activation('swish'),239 use_pad_layer=True).run_test()240 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (5, 7), strides=3),241 activation_op_to_test=layers.Activation('swish'),242 use_pad_layer=True).run_test()243 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (7, 5), strides=4),244 activation_op_to_test=layers.Activation('swish'),245 use_pad_layer=True).run_test()246 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (8, 10), strides=5),247 activation_op_to_test=layers.Activation('swish'),248 use_pad_layer=True).run_test()249 ShiftNegActivationTest(self, linear_op_to_test=layers.Conv2D(3, (10, 8), strides=6),250 activation_op_to_test=layers.Activation('swish'),251 use_pad_layer=True).run_test()252 def test_shift_neg_activation_dense(self):253 ShiftNegActivationTest(self, linear_op_to_test=layers.Dense(3),254 activation_op_to_test=tf.nn.leaky_relu, input_shape=(8, 3)).run_test()255 ShiftNegActivationTest(self, linear_op_to_test=layers.Dense(4),256 activation_op_to_test=layers.ReLU(negative_slope=0.99),257 bypass_op_list=[layers.GlobalAveragePooling2D()]).run_test()258 def test_shift_neg_activation_pad_dense(self):259 ShiftNegActivationTest(self, linear_op_to_test=layers.Dense(3),260 activation_op_to_test=PReLU(alpha_initializer='ones'), use_pad_layer=True).run_test()261 ShiftNegActivationTest(self, linear_op_to_test=layers.Dense(4),262 activation_op_to_test=ELU(), use_pad_layer=True).run_test()263 def test_shift_neg_activation_depthwise(self):264 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D((4, 5)),265 activation_op_to_test=tf.nn.silu).run_test()266 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D(5, strides=3),267 activation_op_to_test=tf.nn.elu).run_test()268 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D((5, 4), strides=4),269 activation_op_to_test=tf.nn.leaky_relu).run_test()270 def test_shift_neg_activation_depthwise_pad_same(self):271 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D(depth_multiplier=1, kernel_size=(7, 8),272 padding='same', strides=5),273 activation_op_to_test=layers.Activation('swish')).run_test()274 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D(depth_multiplier=3, kernel_size=(8, 7),275 padding='same', strides=6),276 activation_op_to_test=layers.Activation('gelu')).run_test()277 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D(kernel_size=4, padding='same'),278 activation_op_to_test=layers.Activation('selu')).run_test()279 def test_shift_neg_activation_pad_depthwise(self):280 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D((4, 5)),281 activation_op_to_test=tf.nn.gelu, use_pad_layer=True).run_test()282 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D(5, strides=3),283 activation_op_to_test=tf.nn.selu, use_pad_layer=True).run_test()284 ShiftNegActivationTest(self, linear_op_to_test=layers.DepthwiseConv2D((5, 4), strides=4),285 activation_op_to_test=tf.nn.swish, use_pad_layer=True).run_test()286 def test_shift_neg_activation_post_add(self):287 ShiftNegActivationPostAddTest(self,288 linear_op_to_test=layers.Conv2D(3, 4),289 activation_op_to_test=layers.Activation('swish'),290 post_add_nbits=7).run_test()291 def test_activation_decomposition(self):292 ActivationDecompositionTest(self, activation_function='swish').run_test()293 ActivationDecompositionTest(self, activation_function='relu').run_test()294 ActivationDecompositionTest(self, activation_function='tanh').run_test()295 ActivationDecompositionTest(self, activation_function='softmax').run_test()296 def test_layer_fusing(self):297 LayerFusingTest1(self).run_test()298 LayerFusingTest2(self).run_test()299 LayerFusingTest3(self).run_test()300 LayerFusingTest4(self).run_test()301 def test_conv2d_bn_concant(self):302 Conv2DBNConcatnFoldingTest(self).run_test()303 def test_activation_scaling_relu6(self):304 ReLUBoundToPOTNetTest(self).run_test()305 def test_layer_activation_softmax_shift(self):306 SoftmaxShiftTest(self, layers.Dense(20, activation='softmax'), None).run_test()307 def test_layer_softmax_shift(self):308 SoftmaxShiftTest(self, layers.Dense(20), layers.Softmax()).run_test()309 def test_function_softmax_shift(self):310 SoftmaxShiftTest(self, layers.Dense(20), tf.nn.softmax).run_test()311 def test_multiple_inputs_node(self):312 MultipleInputsNodeTests(self).run_test()313 def test_multiple_outputs_node(self):314 MultipleOutputsNodeTests(self).run_test()315 def test_conv2dbn_folding(self):316 Conv2DBNFoldingTest(self).run_test()317 def test_residual_collapsing(self):318 ResidualCollapsingTest1(self).run_test()319 ResidualCollapsingTest2(self).run_test()320 def test_separableconv2dbn_folding(self):321 SeparableConv2DBNFoldingTest(self).run_test()322 def test_dwbn_folding(self):323 DepthwiseConv2DBNFoldingTest(self).run_test()324 def test_dwbn_high_multipler_folding(self):325 DepthwiseConv2DBNFoldingHighMultiplierTest(self).run_test()326 def test_conv2dtransposebn_folding(self):327 Conv2DTransposeBNFoldingTest(self).run_test()328 def test_linear_collapsing(self):329 TwoConv2DCollapsingTest(self).run_test()330 ThreeConv2DCollapsingTest(self).run_test()331 FourConv2DCollapsingTest(self).run_test()332 SixConv2DCollapsingTest(self).run_test()333 def test_decompose_separable_conv(self):334 DecomposeSeparableConvTest(self).run_test()335 def test_decompose_separable_conv_high_multiplier(self):336 DecomposeSeparableConvTest(self, depth=2).run_test()337 def test_input_scale(self):338 InputScalingDenseTest(self).run_test()339 InputScalingConvTest(self).run_test()340 InputScalingDWTest(self).run_test()341 InputScalingZeroPadTest(self).run_test()342 def test_multi_input_to_node(self):343 MultiInputsToNodeTest(self).run_test()344 def test_gptq(self):345 GradientPTQTest(self).run_test()346 GradientPTQWeightsUpdateTest(self).run_test()347 GradientPTQLearnRateZeroTest(self).run_test()348 def test_split_conv_bug(self):349 SplitConvBugTest(self).run_test()350 def test_symmetric_threshold_selection_activation(self):351 SymmetricThresholdSelectionActivationTest(self, QuantizationErrorMethod.NOCLIPPING).run_test()352 SymmetricThresholdSelectionActivationTest(self, QuantizationErrorMethod.MSE).run_test()353 SymmetricThresholdSelectionActivationTest(self, QuantizationErrorMethod.MAE).run_test()354 SymmetricThresholdSelectionActivationTest(self, QuantizationErrorMethod.LP).run_test()355 SymmetricThresholdSelectionActivationTest(self, QuantizationErrorMethod.KL).run_test()356 def test_uniform_range_selection_activation(self):357 UniformRangeSelectionActivationTest(self, QuantizationErrorMethod.NOCLIPPING).run_test()358 UniformRangeSelectionActivationTest(self, QuantizationErrorMethod.MSE).run_test()359 UniformRangeSelectionActivationTest(self, QuantizationErrorMethod.MAE).run_test()360 UniformRangeSelectionActivationTest(self, QuantizationErrorMethod.LP).run_test()361 UniformRangeSelectionActivationTest(self, QuantizationErrorMethod.KL).run_test()362 def test_multi_head_attention(self):363 q_seq_len, kv_seq_len = 5, 6364 q_dim, k_dim, v_dim = 11, 12, 13365 num_heads, qk_proj_dim, v_proj_dim = 3, 4, 7366 attention_axes = [1, 3]367 num_iterations = 9368 for separate_key_value in [False, True]:369 MultiHeadAttentionTest(self, [(q_seq_len, q_dim),370 (kv_seq_len, k_dim),371 (kv_seq_len, v_dim)],372 num_heads, qk_proj_dim, v_proj_dim, None,373 separate_key_value=separate_key_value, output_dim=15).run_test()374 input_shapes = [(2, num_iterations, q_seq_len, q_dim),375 (2, num_iterations, kv_seq_len, k_dim),376 (2, num_iterations, kv_seq_len, v_dim)]377 MultiHeadAttentionTest(self, input_shapes,378 num_heads, qk_proj_dim, v_proj_dim, attention_axes,379 separate_key_value=separate_key_value, output_dim=14).run_test()380 MultiHeadAttentionTest(self, input_shapes,381 num_heads, qk_proj_dim, v_proj_dim, attention_axes,382 separate_key_value=separate_key_value, output_dim=None).run_test()383 MultiHeadAttentionTest(self, input_shapes,384 num_heads, qk_proj_dim, v_proj_dim, None,385 separate_key_value=separate_key_value, output_dim=14).run_test()386if __name__ == '__main__':...
conformance.spec.ts
Source:conformance.spec.ts
...5 * dynamically generated using generate_conformance.ts script see README.md file6 * for details on how to re-generate or change this file.7 */8describe("conformance", () => {9 function run_test(doc: any, patch: any[], error: any, expected: any) {10 try {11 let result = Patch.apply(doc, ...patch);12 if(error) {13 throw new Error("Missing error: " + error);14 } else {15 expect(result).eql(expected);16 }17 } catch(e) {18 if(error) {19 expect(!!e.message, error).be.true;20 } else {21 expect("Unexpected error: " + e.message + ", missing expected: " + JSON.stringify(expected)).eql('to pass');22 }23 }24 }25 describe("tests.json - main tests", () => {26 it("empty list, empty docs", () => {27 run_test({}, [], undefined, {});28 });29 it("empty patch list", () => {30 run_test({"foo":1}, [], undefined, {"foo":1});31 });32 it("rearrangements OK?", () => {33 run_test({"foo":1,"bar":2}, [], undefined, {"bar":2,"foo":1});34 });35 it("rearrangements OK? How about one level down ... array", () => {36 run_test([{"foo":1,"bar":2}], [], undefined, [{"bar":2,"foo":1}]);37 });38 it("rearrangements OK? How about one level down...", () => {39 run_test({"foo":{"foo":1,"bar":2}}, [], undefined, {"foo":{"bar":2,"foo":1}});40 });41 it("add replaces any existing field", () => {42 run_test({"foo":null}, [{"op":"add","path":"/foo","value":1}], undefined, {"foo":1});43 });44 it("toplevel array", () => {45 run_test([], [{"op":"add","path":"/0","value":"foo"}], undefined, ["foo"]);46 });47 it("toplevel array, no change", () => {48 run_test(["foo"], [], undefined, ["foo"]);49 });50 it("toplevel object, numeric string", () => {51 run_test({}, [{"op":"add","path":"/foo","value":"1"}], undefined, {"foo":"1"});52 });53 it("toplevel object, integer", () => {54 run_test({}, [{"op":"add","path":"/foo","value":1}], undefined, {"foo":1});55 });56 xit("Toplevel scalar values OK?", () => {57 run_test("foo", [{"op":"replace","path":"","value":"bar"}], undefined, "bar");58 });59 it("replace object document with array document?", () => {60 run_test({}, [{"op":"add","path":"","value":[]}], undefined, []);61 });62 it("replace array document with object document?", () => {63 run_test([], [{"op":"add","path":"","value":{}}], undefined, {});64 });65 it("append to root array document?", () => {66 run_test([], [{"op":"add","path":"/-","value":"hi"}], undefined, ["hi"]);67 });68 it("Add, / target", () => {69 run_test({}, [{"op":"add","path":"/","value":1}], undefined, {"":1});70 });71 it("Add, /foo/ deep target (trailing slash)", () => {72 run_test({"foo":{}}, [{"op":"add","path":"/foo/","value":1}], undefined, {"foo":{"":1}});73 });74 it("Add composite value at top level", () => {75 run_test({"foo":1}, [{"op":"add","path":"/bar","value":[1,2]}], undefined, {"foo":1,"bar":[1,2]});76 });77 it("Add into composite value", () => {78 run_test({"foo":1,"baz":[{"qux":"hello"}]}, [{"op":"add","path":"/baz/0/foo","value":"world"}], undefined, {"foo":1,"baz":[{"qux":"hello","foo":"world"}]});79 });80 it("conformance #18", () => {81 run_test({"bar":[1,2]}, [{"op":"add","path":"/bar/8","value":"5"}], "Out of bounds (upper)", undefined);82 });83 it("conformance #19", () => {84 run_test({"bar":[1,2]}, [{"op":"add","path":"/bar/-1","value":"5"}], "Out of bounds (lower)", undefined);85 });86 it("conformance #20", () => {87 run_test({"foo":1}, [{"op":"add","path":"/bar","value":true}], undefined, {"foo":1,"bar":true});88 });89 it("conformance #21", () => {90 run_test({"foo":1}, [{"op":"add","path":"/bar","value":false}], undefined, {"foo":1,"bar":false});91 });92 it("conformance #22", () => {93 run_test({"foo":1}, [{"op":"add","path":"/bar","value":null}], undefined, {"foo":1,"bar":null});94 });95 it("0 can be an array index or object element name", () => {96 run_test({"foo":1}, [{"op":"add","path":"/0","value":"bar"}], undefined, {"0":"bar","foo":1});97 });98 it("conformance #24", () => {99 run_test(["foo"], [{"op":"add","path":"/1","value":"bar"}], undefined, ["foo","bar"]);100 });101 it("conformance #25", () => {102 run_test(["foo","sil"], [{"op":"add","path":"/1","value":"bar"}], undefined, ["foo","bar","sil"]);103 });104 it("conformance #26", () => {105 run_test(["foo","sil"], [{"op":"add","path":"/0","value":"bar"}], undefined, ["bar","foo","sil"]);106 });107 it("push item to array via last index + 1", () => {108 run_test(["foo","sil"], [{"op":"add","path":"/2","value":"bar"}], undefined, ["foo","sil","bar"]);109 });110 it("add item to array at index > length should fail", () => {111 run_test(["foo","sil"], [{"op":"add","path":"/3","value":"bar"}], "index is greater than number of items in array", undefined);112 });113 it("test against implementation-specific numeric parsing", () => {114 run_test({"1e0":"foo"}, [{"op":"test","path":"/1e0","value":"foo"}], undefined, {"1e0":"foo"});115 });116 it("test with bad number should fail", () => {117 run_test(["foo","bar"], [{"op":"test","path":"/1e0","value":"bar"}], "test op shouldn't get array element 1", undefined);118 });119 it("conformance #31", () => {120 run_test(["foo","sil"], [{"op":"add","path":"/bar","value":42}], "Object operation on array target", undefined);121 });122 it("value in array add not flattened", () => {123 run_test(["foo","sil"], [{"op":"add","path":"/1","value":["bar","baz"]}], undefined, ["foo",["bar","baz"],"sil"]);124 });125 it("conformance #33", () => {126 run_test({"foo":1,"bar":[1,2,3,4]}, [{"op":"remove","path":"/bar"}], undefined, {"foo":1});127 });128 it("conformance #34", () => {129 run_test({"foo":1,"baz":[{"qux":"hello"}]}, [{"op":"remove","path":"/baz/0/qux"}], undefined, {"foo":1,"baz":[{}]});130 });131 it("conformance #35", () => {132 run_test({"foo":1,"baz":[{"qux":"hello"}]}, [{"op":"replace","path":"/foo","value":[1,2,3,4]}], undefined, {"foo":[1,2,3,4],"baz":[{"qux":"hello"}]});133 });134 it("conformance #36", () => {135 run_test({"foo":[1,2,3,4],"baz":[{"qux":"hello"}]}, [{"op":"replace","path":"/baz/0/qux","value":"world"}], undefined, {"foo":[1,2,3,4],"baz":[{"qux":"world"}]});136 });137 it("conformance #37", () => {138 run_test(["foo"], [{"op":"replace","path":"/0","value":"bar"}], undefined, ["bar"]);139 });140 it("conformance #38", () => {141 run_test([""], [{"op":"replace","path":"/0","value":0}], undefined, [0]);142 });143 it("conformance #39", () => {144 run_test([""], [{"op":"replace","path":"/0","value":true}], undefined, [true]);145 });146 it("conformance #40", () => {147 run_test([""], [{"op":"replace","path":"/0","value":false}], undefined, [false]);148 });149 it("conformance #41", () => {150 run_test([""], [{"op":"replace","path":"/0","value":null}], undefined, [null]);151 });152 it("value in array replace not flattened", () => {153 run_test(["foo","sil"], [{"op":"replace","path":"/1","value":["bar","baz"]}], undefined, ["foo",["bar","baz"]]);154 });155 it("replace whole document", () => {156 run_test({"foo":"bar"}, [{"op":"replace","path":"","value":{"baz":"qux"}}], undefined, {"baz":"qux"});157 });158 it("test replace with missing parent key should fail", () => {159 run_test({"bar":"baz"}, [{"op":"replace","path":"/foo/bar","value":false}], "replace op should fail with missing parent key", undefined);160 });161 it("spurious patch properties", () => {162 run_test({"foo":1}, [{"op":"test","path":"/foo","value":1,"spurious":1}], undefined, {"foo":1});163 });164 it("null value should be valid obj property", () => {165 run_test({"foo":null}, [{"op":"test","path":"/foo","value":null}], undefined, {"foo":null});166 });167 it("null value should be valid obj property to be replaced with something truthy", () => {168 run_test({"foo":null}, [{"op":"replace","path":"/foo","value":"truthy"}], undefined, {"foo":"truthy"});169 });170 it("null value should be valid obj property to be moved", () => {171 run_test({"foo":null}, [{"op":"move","from":"/foo","path":"/bar"}], undefined, {"bar":null});172 });173 it("null value should be valid obj property to be copied", () => {174 run_test({"foo":null}, [{"op":"copy","from":"/foo","path":"/bar"}], undefined, {"foo":null,"bar":null});175 });176 it("null value should be valid obj property to be removed", () => {177 run_test({"foo":null}, [{"op":"remove","path":"/foo"}], undefined, {});178 });179 it("null value should still be valid obj property replace other value", () => {180 run_test({"foo":"bar"}, [{"op":"replace","path":"/foo","value":null}], undefined, {"foo":null});181 });182 it("test should pass despite rearrangement", () => {183 run_test({"foo":{"foo":1,"bar":2}}, [{"op":"test","path":"/foo","value":{"bar":2,"foo":1}}], undefined, {"foo":{"foo":1,"bar":2}});184 });185 it("test should pass despite (nested) rearrangement", () => {186 run_test({"foo":[{"foo":1,"bar":2}]}, [{"op":"test","path":"/foo","value":[{"bar":2,"foo":1}]}], undefined, {"foo":[{"foo":1,"bar":2}]});187 });188 it("test should pass - no error", () => {189 run_test({"foo":{"bar":[1,2,5,4]}}, [{"op":"test","path":"/foo","value":{"bar":[1,2,5,4]}}], undefined, {"foo":{"bar":[1,2,5,4]}});190 });191 it("conformance #55", () => {192 run_test({"foo":{"bar":[1,2,5,4]}}, [{"op":"test","path":"/foo","value":[1,2]}], "test op should fail", undefined);193 });194 xit("Whole document", () => {195 run_test({"foo":1}, [{"op":"test","path":"","value":{"foo":1}}], undefined, undefined);196 });197 it("Empty-string element", () => {198 run_test({"":1}, [{"op":"test","path":"/","value":1}], undefined, {"":1});199 });200 it("conformance #58", () => {201 run_test({"foo":["bar","baz"],"":0,"a/b":1,"c%d":2,"e^f":3,"g|h":4,"i\\j":5,"k\"l":6," ":7,"m~n":8}, [{"op":"test","path":"/foo","value":["bar","baz"]},{"op":"test","path":"/foo/0","value":"bar"},{"op":"test","path":"/","value":0},{"op":"test","path":"/a~1b","value":1},{"op":"test","path":"/c%d","value":2},{"op":"test","path":"/e^f","value":3},{"op":"test","path":"/g|h","value":4},{"op":"test","path":"/i\\j","value":5},{"op":"test","path":"/k\"l","value":6},{"op":"test","path":"/ ","value":7},{"op":"test","path":"/m~0n","value":8}], undefined, {"":0," ":7,"a/b":1,"c%d":2,"e^f":3,"foo":["bar","baz"],"g|h":4,"i\\j":5,"k\"l":6,"m~n":8});202 });203 it("Move to same location has no effect", () => {204 run_test({"foo":1}, [{"op":"move","from":"/foo","path":"/foo"}], undefined, {"foo":1});205 });206 it("conformance #60", () => {207 run_test({"foo":1,"baz":[{"qux":"hello"}]}, [{"op":"move","from":"/foo","path":"/bar"}], undefined, {"baz":[{"qux":"hello"}],"bar":1});208 });209 it("conformance #61", () => {210 run_test({"baz":[{"qux":"hello"}],"bar":1}, [{"op":"move","from":"/baz/0/qux","path":"/baz/1"}], undefined, {"baz":[{},"hello"],"bar":1});211 });212 it("conformance #62", () => {213 run_test({"baz":[{"qux":"hello"}],"bar":1}, [{"op":"copy","from":"/baz/0","path":"/boo"}], undefined, {"baz":[{"qux":"hello"}],"bar":1,"boo":{"qux":"hello"}});214 });215 it("replacing the root of the document is possible with add", () => {216 run_test({"foo":"bar"}, [{"op":"add","path":"","value":{"baz":"qux"}}], undefined, {"baz":"qux"});217 });218 it("Adding to \"/-\" adds to the end of the array", () => {219 run_test([1,2], [{"op":"add","path":"/-","value":{"foo":["bar","baz"]}}], undefined, [1,2,{"foo":["bar","baz"]}]);220 });221 it("Adding to \"/-\" adds to the end of the array, even n levels down", () => {222 run_test([1,2,[3,[4,5]]], [{"op":"add","path":"/2/1/-","value":{"foo":["bar","baz"]}}], undefined, [1,2,[3,[4,5,{"foo":["bar","baz"]}]]]);223 });224 it("test remove with bad number should fail", () => {225 run_test({"foo":1,"baz":[{"qux":"hello"}]}, [{"op":"remove","path":"/baz/1e0/qux"}], "remove op shouldn't remove from array with bad number", undefined);226 });227 it("test remove on array", () => {228 run_test([1,2,3,4], [{"op":"remove","path":"/0"}], undefined, [2,3,4]);229 });230 it("test repeated removes", () => {231 run_test([1,2,3,4], [{"op":"remove","path":"/1"},{"op":"remove","path":"/2"}], undefined, [1,3]);232 });233 it("test remove with bad index should fail", () => {234 run_test([1,2,3,4], [{"op":"remove","path":"/1e0"}], "remove op shouldn't remove from array with bad number", undefined);235 });236 it("test replace with bad number should fail", () => {237 run_test([""], [{"op":"replace","path":"/1e0","value":false}], "replace op shouldn't replace in array with bad number", undefined);238 });239 it("test copy with bad number should fail", () => {240 run_test({"baz":[1,2,3],"bar":1}, [{"op":"copy","from":"/baz/1e0","path":"/boo"}], "copy op shouldn't work with bad number", undefined);241 });242 it("test move with bad number should fail", () => {243 run_test({"foo":1,"baz":[1,2,3,4]}, [{"op":"move","from":"/baz/1e0","path":"/foo"}], "move op shouldn't work with bad number", undefined);244 });245 it("test add with bad number should fail", () => {246 run_test(["foo","sil"], [{"op":"add","path":"/1e0","value":"bar"}], "add op shouldn't add to array with bad number", undefined);247 });248 it("missing 'path' parameter", () => {249 run_test({}, [{"op":"add","value":"bar"}], "missing 'path' parameter", undefined);250 });251 it("'path' parameter with null value", () => {252 run_test({}, [{"op":"add","path":null,"value":"bar"}], "null is not valid value for 'path'", undefined);253 });254 it("invalid JSON Pointer token", () => {255 run_test({}, [{"op":"add","path":"foo","value":"bar"}], "JSON Pointer should start with a slash", undefined);256 });257 it("missing 'value' parameter to add", () => {258 run_test([1], [{"op":"add","path":"/-"}], "missing 'value' parameter", undefined);259 });260 it("missing 'value' parameter to replace", () => {261 run_test([1], [{"op":"replace","path":"/0"}], "missing 'value' parameter", undefined);262 });263 it("missing 'value' parameter to test", () => {264 run_test([null], [{"op":"test","path":"/0"}], "missing 'value' parameter", undefined);265 });266 it("missing value parameter to test - where undef is falsy", () => {267 run_test([false], [{"op":"test","path":"/0"}], "missing 'value' parameter", undefined);268 });269 it("missing from parameter to copy", () => {270 run_test([1], [{"op":"copy","path":"/-"}], "missing 'from' parameter", undefined);271 });272 it("missing from location to copy", () => {273 run_test({"foo":1}, [{"op":"copy","from":"/bar","path":"/foo"}], "missing 'from' location", undefined);274 });275 it("missing from parameter to move", () => {276 run_test({"foo":1}, [{"op":"move","path":""}], "missing 'from' parameter", undefined);277 });278 it("missing from location to move", () => {279 run_test({"foo":1}, [{"op":"move","from":"/bar","path":"/foo"}], "missing 'from' location", undefined);280 });281 xit("duplicate ops", () => {282 run_test({"foo":"bar"}, [{"op":"move","path":"/baz","value":"qux","from":"/foo"}], "patch has two 'op' members", undefined);283 });284 it("unrecognized op should fail", () => {285 run_test({"foo":1}, [{"op":"spam","path":"/foo","value":1}], "Unrecognized op 'spam'", undefined);286 });287 it("test with bad array number that has leading zeros", () => {288 run_test(["foo","bar"], [{"op":"test","path":"/00","value":"foo"}], "test op should reject the array value, it has leading zeros", undefined);289 });290 it("test with bad array number that has leading zeros", () => {291 run_test(["foo","bar"], [{"op":"test","path":"/01","value":"bar"}], "test op should reject the array value, it has leading zeros", undefined);292 });293 it("Removing nonexistent field", () => {294 run_test({"foo":"bar"}, [{"op":"remove","path":"/baz"}], "removing a nonexistent field should fail", undefined);295 });296 it("Removing deep nonexistent path", () => {297 run_test({"foo":"bar"}, [{"op":"remove","path":"/missing1/missing2"}], "removing a nonexistent field should fail", undefined);298 });299 it("Removing nonexistent index", () => {300 run_test(["foo","bar"], [{"op":"remove","path":"/2"}], "removing a nonexistent index should fail", undefined);301 });302 it("Patch with different capitalisation than doc", () => {303 run_test({"foo":"bar"}, [{"op":"add","path":"/FOO","value":"BAR"}], undefined, {"foo":"bar","FOO":"BAR"});304 });305 });306 307 describe("spec_tests.json - RFC6902 spec", () => {308 it("4.1. add with missing object", () => {309 run_test({"q":{"bar":2}}, [{"op":"add","path":"/a/b","value":1}], "path /a does not exist -- missing objects are not created recursively", undefined);310 });311 it("A.1. Adding an Object Member", () => {312 run_test({"foo":"bar"}, [{"op":"add","path":"/baz","value":"qux"}], undefined, {"baz":"qux","foo":"bar"});313 });314 it("A.2. Adding an Array Element", () => {315 run_test({"foo":["bar","baz"]}, [{"op":"add","path":"/foo/1","value":"qux"}], undefined, {"foo":["bar","qux","baz"]});316 });317 it("A.3. Removing an Object Member", () => {318 run_test({"baz":"qux","foo":"bar"}, [{"op":"remove","path":"/baz"}], undefined, {"foo":"bar"});319 });320 it("A.4. Removing an Array Element", () => {321 run_test({"foo":["bar","qux","baz"]}, [{"op":"remove","path":"/foo/1"}], undefined, {"foo":["bar","baz"]});322 });323 it("A.5. Replacing a Value", () => {324 run_test({"baz":"qux","foo":"bar"}, [{"op":"replace","path":"/baz","value":"boo"}], undefined, {"baz":"boo","foo":"bar"});325 });326 it("A.6. Moving a Value", () => {327 run_test({"foo":{"bar":"baz","waldo":"fred"},"qux":{"corge":"grault"}}, [{"op":"move","from":"/foo/waldo","path":"/qux/thud"}], undefined, {"foo":{"bar":"baz"},"qux":{"corge":"grault","thud":"fred"}});328 });329 it("A.7. Moving an Array Element", () => {330 run_test({"foo":["all","grass","cows","eat"]}, [{"op":"move","from":"/foo/1","path":"/foo/3"}], undefined, {"foo":["all","cows","eat","grass"]});331 });332 it("A.8. Testing a Value: Success", () => {333 run_test({"baz":"qux","foo":["a",2,"c"]}, [{"op":"test","path":"/baz","value":"qux"},{"op":"test","path":"/foo/1","value":2}], undefined, {"baz":"qux","foo":["a",2,"c"]});334 });335 it("A.9. Testing a Value: Error", () => {336 run_test({"baz":"qux"}, [{"op":"test","path":"/baz","value":"bar"}], "string not equivalent", undefined);337 });338 it("A.10. Adding a nested Member Object", () => {339 run_test({"foo":"bar"}, [{"op":"add","path":"/child","value":{"grandchild":{}}}], undefined, {"foo":"bar","child":{"grandchild":{}}});340 });341 it("A.11. Ignoring Unrecognized Elements", () => {342 run_test({"foo":"bar"}, [{"op":"add","path":"/baz","value":"qux","xyz":123}], undefined, {"foo":"bar","baz":"qux"});343 });344 it("A.12. Adding to a Non-existent Target", () => {345 run_test({"foo":"bar"}, [{"op":"add","path":"/baz/bat","value":"qux"}], "add to a non-existent target", undefined);346 });347 xit("A.13 Invalid JSON Patch Document", () => {348 run_test({"foo":"bar"}, [{"op":"remove","path":"/baz","value":"qux"}], "operation has two 'op' members", undefined);349 });350 it("A.14. ~ Escape Ordering", () => {351 run_test({"/":9,"~1":10}, [{"op":"test","path":"/~01","value":10}], undefined, {"/":9,"~1":10});352 });353 it("A.15. Comparing Strings and Numbers", () => {354 run_test({"/":9,"~1":10}, [{"op":"test","path":"/~01","value":"10"}], "number is not equal to string", undefined);355 });356 it("A.16. Adding an Array Value", () => {357 run_test({"foo":["bar"]}, [{"op":"add","path":"/foo/-","value":["abc","def"]}], undefined, {"foo":["bar",["abc","def"]]});358 });359 });...
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