Fix reshape interoperability test

ci/docker/install/requirements

@@ -26,8 +26,8 @@ h5py==2.8.0rc1
 mock==2.0.0
 nose==1.3.7
 nose-timer==0.7.3
-numpy>1.16.0,<2.0.0
+numpy>1.16.0,<1.18.0
 pylint==2.3.1; python_version >= '3.0'
 requests<2.19.0,>=2.18.4
-scipy==1.0.1
+scipy==1.2.1
 six==1.11.0

tests/python/unittest/test_metric.py

@@ -18,6 +18,7 @@
 import mxnet as mx
 import numpy as np
 import scipy
+from scipy.stats import pearsonr
 import json
 import math
 from common import with_seed
@@ -267,7 +268,7 @@ def test_pearsonr():
  pred1 = mx.nd.array([[0.3, 0.7], [0, 1.], [0.4, 0.6]])
  label1 = mx.nd.array([[1, 0], [0, 1], [0, 1]])
  pearsonr_expected_np = np.corrcoef(pred1.asnumpy().ravel(), label1.asnumpy().ravel())[0, 1]
- pearsonr_expected_scipy, _ = scipy.stats.pearsonr(pred1.asnumpy().ravel(), label1.asnumpy().ravel())
+ pearsonr_expected_scipy, _ = pearsonr(pred1.asnumpy().ravel(), label1.asnumpy().ravel())
  macro_pr = mx.metric.create('pearsonr', average='macro')
  micro_pr = mx.metric.create('pearsonr', average='micro')
 
@@ -289,7 +290,7 @@ def test_pearsonr():
  label12 = mx.nd.array([[1, 0], [0, 1], [0, 1], [1, 0], [0, 1], [0, 1]])
 
  pearsonr_expected_np = np.corrcoef(pred12.asnumpy().ravel(), label12.asnumpy().ravel())[0, 1]
- pearsonr_expected_scipy, _ = scipy.stats.pearsonr(pred12.asnumpy().ravel(), label12.asnumpy().ravel())
+ pearsonr_expected_scipy, _ = pearsonr(pred12.asnumpy().ravel(), label12.asnumpy().ravel())
 
  macro_pr.reset()
  micro_pr.update([label2], [pred2])

tests/python/unittest/test_numpy_interoperability.py

@@ -758,7 +758,7 @@ def _add_workload_reshape():
  # OpArgMngr.add_workload('reshape', b, (2, 2), order='F') # Items are not equal with order='F'
 
  a = np.array(_np.ones((0, 2)))
- OpArgMngr.add_workload('reshape', a, -1, 2)
+ OpArgMngr.add_workload('reshape', a, (-1, 2))
 
 
 def _add_workload_rint(array_pool):