TEST: Add python=3.9 (#574)

* TEST: Add python=3.9

* TEST: Remove dependency on `tables`

.github/workflows/test.yml

@@ -17,14 +17,14 @@ on:
     branches:
     - master
   pull_request:
-   
+
 jobs:
   tests:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
         os: [windows-latest, ubuntu-latest, macos-latest]
-        python-version: [3.7, 3.8]
+        python-version: [3.7, 3.8, 3.9]
         exclude:
           - os: windows-latest
             python-version: 3.7
@@ -38,7 +38,6 @@ jobs:
       run: |
         python -m pip install --upgrade pip
         pip install -U nose coverage numpy scipy pandas numba sympy ipython statsmodels flake8
-        pip install tables
         python setup.py install
     - name: Run Tests
       run: |

quantecon/tests/__init__.py

@@ -6,5 +6,4 @@
 @date : 2014-08-01 13:13:59
 
 """
-from . util import (capture, get_data_dir, get_h5_data_file, write_array,
-                    max_abs_diff, get_h5_data_group)
+from . util import capture, get_data_dir, max_abs_diff

quantecon/tests/util.py

@@ -4,10 +4,8 @@
 """
 import sys
 import os
-from os.path import join, exists
 from contextlib import contextmanager
 import numpy as np
-import tables
 
 if sys.version_info[0] == 2:
     from cStringIO import StringIO
@@ -48,89 +46,6 @@ def get_data_dir():
     return data_dir
 
 
-def get_h5_data_file():
-    """
-    return the data file used for holding test data. If the data
-    directory or file do not exist, they are created.
-
-    Notes
-    -----
-    This should ideally be called from a context manage as so::
-
-        with get_h5_data_file() as f:
-            # do stuff
-
-    This way we know the file will be closed and cleaned up properly
-
-    """
-    data_dir = get_data_dir()
-
-    if not exists(data_dir):
-        os.mkdir(data_dir)
-
-    data_file = join(data_dir, "testing_data.h5")
-
-    return tables.open_file(data_file, "a", "Data for quantecon tests")
-
-
-def get_h5_data_group(grp_name, parent="/", f=get_h5_data_file()):
-    """
-    Try to fetch the group named grp_name from the file f. If it doesn't
-    yet exist, it is created
-
-    Parameters
-    ----------
-    grp_name : str
-        A string specifying the name of the new group. This should be
-        only the group name, not including any information about the
-        group's parent (path)
-
-    parent : str, optional(default="/")
-        The parent or path for where the group should live. If nothing
-        is given, the group will be created at the root node `"/"`
-
-    f : hdf5 file, optional(default=get_h5_data_file())
-        The file where this should happen. The default is the data file
-        for these tests
-
-    Returns
-    -------
-    existed : bool
-        A boolean specifying whether the group existed or was created
-
-    group : tables.Group
-        The requested group
-
-    Examples
-    --------
-    with get_h5_data_file() as f:
-        my_group = get_h5_data_group("jv")  # data for jv tests
-
-    Notes
-    -----
-    As with other code dealing with I/O from files, it is best to call
-    this function within a context manager as shown in the example.
-
-    """
-    existed = True
-    try:
-        group = f.getNode(parent + grp_name)
-    except:
-        # doesn't exist
-        existed = False
-        msg = "data for {} tests".format(grp_name + ".py")
-        group = f.create_group(parent, grp_name, msg)
-
-    return existed, group
-
-
-def write_array(f, grp, array, name):
-    "stores array in into group grp of h5 file f under name name"
-    atom = tables.Atom.from_dtype(array.dtype)
-    ds = f.createCArray(grp, name, atom, array.shape)
-    ds[:] = array
-
-
 def max_abs_diff(a1, a2):
     "return max absolute difference between two arrays"
     return np.max(np.abs(a1 - a2))