import unittest

from chainer import testing
import chainer.functions as F
import numpy


def make_data(shape, dtype):
    # Input values close to -1 or 1 would make tests unstable
    x = numpy.random.uniform(-0.9, 0.9, shape).astype(dtype, copy=False)
    gy = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    ggx = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    return x, gy, ggx


@testing.unary_math_function_unittest(F.arctanh, make_data=make_data)
class TestArctanh(unittest.TestCase):
    pass

import unittest

from chainer import testing
import chainer.functions as F
import numpy


def make_data(shape, dtype):
    # Input values close to -1 or 1 would make tests unstable
    x = numpy.random.uniform(-0.9, 0.9, shape).astype(dtype, copy=False)
    gy = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    ggx = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    return x, gy, ggx


@testing.unary_math_function_unittest(F.arctanh, make_data=make_data)
class TestArctanh(unittest.TestCase):
    pass


testing.run_module(__name__, __file__)

Call testing.run_module at the end of the test
Call testing.run_module at the end of the test

  import unittest
  
  from chainer import testing
  import chainer.functions as F
  import numpy
  
  
  def make_data(shape, dtype):
      # Input values close to -1 or 1 would make tests unstable
      x = numpy.random.uniform(-0.9, 0.9, shape).astype(dtype, copy=False)
      gy = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
      ggx = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
      return x, gy, ggx
  
  
  @testing.unary_math_function_unittest(F.arctanh, make_data=make_data)
  class TestArctanh(unittest.TestCase):
      pass
  
+ 
+ testing.run_module(__name__, __file__)
+ 
Call testing.run_module at the end of the test
## Code Before:
import unittest

from chainer import testing
import chainer.functions as F
import numpy


def make_data(shape, dtype):
    # Input values close to -1 or 1 would make tests unstable
    x = numpy.random.uniform(-0.9, 0.9, shape).astype(dtype, copy=False)
    gy = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    ggx = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    return x, gy, ggx


@testing.unary_math_function_unittest(F.arctanh, make_data=make_data)
class TestArctanh(unittest.TestCase):
    pass

## Instruction:
Call testing.run_module at the end of the test
## Code After:
import unittest

from chainer import testing
import chainer.functions as F
import numpy


def make_data(shape, dtype):
    # Input values close to -1 or 1 would make tests unstable
    x = numpy.random.uniform(-0.9, 0.9, shape).astype(dtype, copy=False)
    gy = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    ggx = numpy.random.uniform(-1, 1, shape).astype(dtype, copy=False)
    return x, gy, ggx


@testing.unary_math_function_unittest(F.arctanh, make_data=make_data)
class TestArctanh(unittest.TestCase):
    pass


testing.run_module(__name__, __file__)
