from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import unittest
import numpy as np
import tensorflow as tf

from cleverhans.devtools.checks import CleverHansTest

from runner import RunnerMultiGPU

class TestRunnerMultiGPU(CleverHansTest):
    def setUp(self):
        super(TestRunnerMultiGPU, self).setUp()
        self.sess = tf.Session()

        inputs = []
        outputs = []
        self.niter = 10
        niter = self.niter
        # A Simple graph with `niter` sub-graphs.
        with tf.variable_scope(None, 'runner'):
            for i in range(niter):
                v = tf.get_variable('v%d' % i, shape=(100, 10))
                w = tf.get_variable('w%d' % i, shape=(100, 1))

                inputs += [{'v': v, 'w': w}]
                outputs += [{'v': v, 'w': w}]

        self.runner = RunnerMultiGPU(inputs, outputs, sess=self.sess)

    def help_test_runner(self, ninputs, niter):
        Tests the MultiGPU runner by feeding in random Tensors for `ninputs`
        steps. Then validating the output after `niter-1` steps.
        v_val = []
        w_val = []
        for i in range(ninputs):
            v_val += [np.random.rand(100, 10)]
            w_val += [np.random.rand(100, 1)]
            fvals ={'v': v_val[i], 'w': w_val[i]})
            self.assertTrue(len(fvals) == 0)

        for i in range(niter-ninputs-1):
            fvals =
            self.assertTrue(len(fvals) == 0)

        for i in range(ninputs):
            fvals =
            self.assertTrue('v' in fvals and 'w' in fvals)
            self.assertTrue(np.allclose(fvals['v'], v_val[i]))
            self.assertTrue(np.allclose(fvals['w'], w_val[i]))


    def test_queue_full(self):
        self.help_test_runner(self.niter-1, self.niter)

    def test_queue_half(self):
        self.help_test_runner(self.niter//2, self.niter)

if __name__ == '__main__':