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-rw-r--r--gnu/packages/patches/python-statsmodels-fix-tests.patch224
1 files changed, 28 insertions, 196 deletions
diff --git a/gnu/packages/patches/python-statsmodels-fix-tests.patch b/gnu/packages/patches/python-statsmodels-fix-tests.patch
index 3315ddbd5f..f910b4b5a5 100644
--- a/gnu/packages/patches/python-statsmodels-fix-tests.patch
+++ b/gnu/packages/patches/python-statsmodels-fix-tests.patch
@@ -1,196 +1,28 @@
-This patch fixes a couple of test failures introduced by changes to the pandas
-package. It was extracted from this pull request:
-
-https://github.com/statsmodels/statsmodels/pull/2675
-
-
-From c9ef60a7bc4407766ab9e9f12c8a6b89013046ee Mon Sep 17 00:00:00 2001
-From: Ralf Gommers <ralf.gommers@gmail.com>
-Date: Tue, 20 Oct 2015 07:34:11 +0200
-Subject: [PATCH 1/4] MAINT: fix use of old_behavior kw for numpy.correlate.
- Was removed in 1.10.0
-
-Numpy PR that removed it: https://github.com/numpy/numpy/pull/5991
-
-Closes gh-2667.
----
- statsmodels/tsa/ar_model.py | 6 ++----
- 1 file changed, 2 insertions(+), 4 deletions(-)
-
-diff --git a/statsmodels/tsa/ar_model.py b/statsmodels/tsa/ar_model.py
-index 087a9e0..02984bd 100644
---- a/statsmodels/tsa/ar_model.py
-+++ b/statsmodels/tsa/ar_model.py
-@@ -261,10 +261,8 @@ def _presample_varcov(self, params):
-
- Vpinv = np.zeros((p, p), dtype=params.dtype)
- for i in range(1, p1):
-- Vpinv[i-1, i-1:] = np.correlate(params0, params0[:i],
-- old_behavior=False)[:-1]
-- Vpinv[i-1, i-1:] -= np.correlate(params0[-i:], params0,
-- old_behavior=False)[:-1]
-+ Vpinv[i-1, i-1:] = np.correlate(params0, params0[:i],)[:-1]
-+ Vpinv[i-1, i-1:] -= np.correlate(params0[-i:], params0,)[:-1]
-
- Vpinv = Vpinv + Vpinv.T - np.diag(Vpinv.diagonal())
- return Vpinv
-
-From f1dc8979b09bc1736149993f895943b3158ee2db Mon Sep 17 00:00:00 2001
-From: Ralf Gommers <ralf.gommers@gmail.com>
-Date: Wed, 21 Oct 2015 22:05:52 +0200
-Subject: [PATCH 2/4] MAINT: fix graphics module for changes in recent pandas
- versions.
-
----
- statsmodels/graphics/tests/test_mosaicplot.py | 2 +-
- statsmodels/graphics/tests/test_tsaplots.py | 6 +++---
- statsmodels/graphics/tsaplots.py | 2 +-
- 3 files changed, 5 insertions(+), 5 deletions(-)
-
-diff --git a/statsmodels/graphics/tests/test_mosaicplot.py b/statsmodels/graphics/tests/test_mosaicplot.py
-index cb9bbbe..e41020e 100644
---- a/statsmodels/graphics/tests/test_mosaicplot.py
-+++ b/statsmodels/graphics/tests/test_mosaicplot.py
-@@ -113,7 +113,7 @@ def test_mosaic():
- # sort by the marriage quality and give meaningful name
- # [rate_marriage, age, yrs_married, children,
- # religious, educ, occupation, occupation_husb]
-- datas = datas.sort(['rate_marriage', 'religious'])
-+ datas = datas.sort_values(by=['rate_marriage', 'religious'])
- num_to_desc = {1: 'awful', 2: 'bad', 3: 'intermediate',
- 4: 'good', 5: 'wonderful'}
- datas['rate_marriage'] = datas['rate_marriage'].map(num_to_desc)
-diff --git a/statsmodels/graphics/tests/test_tsaplots.py b/statsmodels/graphics/tests/test_tsaplots.py
-index 511f18f..365be82 100644
---- a/statsmodels/graphics/tests/test_tsaplots.py
-+++ b/statsmodels/graphics/tests/test_tsaplots.py
-@@ -1,4 +1,4 @@
--from statsmodels.compat.python import lmap, lzip, map
-+from statsmodels.compat.python import lmap, map
- import numpy as np
- import pandas as pd
- from numpy.testing import dec
-@@ -51,8 +51,8 @@ def test_plot_month():
- dta = sm.datasets.elnino.load_pandas().data
- dta['YEAR'] = dta.YEAR.astype(int).apply(str)
- dta = dta.set_index('YEAR').T.unstack()
-- dates = lmap(lambda x : pd.datetools.parse('1 '+' '.join(x)),
-- dta.index.values)
-+ dates = lmap(lambda x : pd.datetools.parse_time_string('1 '+' '.join(x))[0],
-+ dta.index.values)
-
- # test dates argument
- fig = month_plot(dta.values, dates=dates, ylabel='el nino')
-diff --git a/statsmodels/graphics/tsaplots.py b/statsmodels/graphics/tsaplots.py
-index 3d04692..94626c9 100644
---- a/statsmodels/graphics/tsaplots.py
-+++ b/statsmodels/graphics/tsaplots.py
-@@ -200,7 +200,7 @@ def seasonal_plot(grouped_x, xticklabels, ylabel=None, ax=None):
- ticks = []
- for season, df in grouped_x:
- df = df.copy() # or sort balks for series. may be better way
-- df.sort()
-+ df.sort_values(inplace=True)
- nobs = len(df)
- x_plot = np.arange(start, start + nobs)
- ticks.append(x_plot.mean())
-
-From 4cfbef6af137629c6953f1f025d9cfc781874256 Mon Sep 17 00:00:00 2001
-From: Ralf Gommers <ralf.gommers@gmail.com>
-Date: Wed, 21 Oct 2015 22:15:25 +0200
-Subject: [PATCH 3/4] MAINT: work around pandas breaking backwards compat for
- pandas.version
-
----
- setup.py | 5 ++++-
- statsmodels/tools/testing.py | 6 ++----
- 2 files changed, 6 insertions(+), 5 deletions(-)
-
-diff --git a/setup.py b/setup.py
-index 0002840..74aefb8 100644
---- a/setup.py
-+++ b/setup.py
-@@ -134,7 +134,10 @@ def check_dependency_versions(min_versions):
- (spversion, min_versions['scipy']))
-
- try:
-- from pandas.version import short_version as pversion
-+ import pandas
-+ #FIXME: this will break for pandas 1.0.0. Needs elaborate parsing now,
-+ # due to pandas removing version.short_version
-+ pversion = pandas.__version__[:6]
- except ImportError:
- install_requires.append('pandas')
- else:
-diff --git a/statsmodels/tools/testing.py b/statsmodels/tools/testing.py
-index e207e44..643f79f 100644
---- a/statsmodels/tools/testing.py
-+++ b/statsmodels/tools/testing.py
-@@ -16,10 +16,8 @@ def strip_rc(version):
-
-
- def is_pandas_min_version(min_version):
-- '''check whether pandas is at least min_version
-- '''
-- from pandas.version import short_version as pversion
-- return StrictVersion(strip_rc(pversion)) >= min_version
-+ '''check whether pandas is at least min_version '''
-+ return StrictVersion((pandas.__version__[:6])) >= min_version
-
-
- # local copies, all unchanged
-
-From c894c3f4882d570efb517950069d83afa9794db8 Mon Sep 17 00:00:00 2001
-From: Ralf Gommers <ralf.gommers@gmail.com>
-Date: Mon, 26 Oct 2015 20:47:51 +0100
-Subject: [PATCH 4/4] BUG: fix use of Series.sort_values for older pandas.
-
-Some failing tests in the previous commits because older ``pandas`` versions
-don't have ``Series.sort_values``. That method was only added in pandas 0.17,
-in https://github.com/pydata/pandas/pull/10726
----
- statsmodels/graphics/tests/test_mosaicplot.py | 6 +++++-
- statsmodels/graphics/tsaplots.py | 6 +++++-
- 2 files changed, 10 insertions(+), 2 deletions(-)
-
-diff --git a/statsmodels/graphics/tests/test_mosaicplot.py b/statsmodels/graphics/tests/test_mosaicplot.py
-index e41020e..2a873e7 100644
---- a/statsmodels/graphics/tests/test_mosaicplot.py
-+++ b/statsmodels/graphics/tests/test_mosaicplot.py
-@@ -113,7 +113,11 @@ def test_mosaic():
- # sort by the marriage quality and give meaningful name
- # [rate_marriage, age, yrs_married, children,
- # religious, educ, occupation, occupation_husb]
-- datas = datas.sort_values(by=['rate_marriage', 'religious'])
-+ if pandas.__version__ < '0.17.0':
-+ datas = datas.sort(['rate_marriage', 'religious'])
-+ else:
-+ datas = datas.sort_values(by=['rate_marriage', 'religious'])
-+
- num_to_desc = {1: 'awful', 2: 'bad', 3: 'intermediate',
- 4: 'good', 5: 'wonderful'}
- datas['rate_marriage'] = datas['rate_marriage'].map(num_to_desc)
-diff --git a/statsmodels/graphics/tsaplots.py b/statsmodels/graphics/tsaplots.py
-index 94626c9..217724f 100644
---- a/statsmodels/graphics/tsaplots.py
-+++ b/statsmodels/graphics/tsaplots.py
-@@ -2,6 +2,7 @@
-
-
- import numpy as np
-+import pandas
-
- from statsmodels.graphics import utils
- from statsmodels.tsa.stattools import acf, pacf
-@@ -200,7 +201,10 @@ def seasonal_plot(grouped_x, xticklabels, ylabel=None, ax=None):
- ticks = []
- for season, df in grouped_x:
- df = df.copy() # or sort balks for series. may be better way
-- df.sort_values(inplace=True)
-+ if pandas.__version__ < '0.17.0':
-+ df.sort()
-+ else:
-+ df.sort_values(inplace=True)
- nobs = len(df)
- x_plot = np.arange(start, start + nobs)
- ticks.append(x_plot.mean())
+This drops a test that fails with numpy 1.12.
+
+Upstream bug URL: https://github.com/statsmodels/statsmodels/issues/3541
+
+--- a/statsmodels/discrete/tests/test_discrete.py 2017-03-06 15:29:19.947343331 +0000
++++ b/statsmodels/discrete/tests/test_discrete.py 2017-03-06 15:29:37.759328845 +0000
+@@ -1329,21 +1329,6 @@
+ res = mod.fit(start_params=-np.ones(4), method='newton', disp=0)
+ assert_(not res.mle_retvals['converged'])
+
+-def test_issue_339():
+- # make sure MNLogit summary works for J != K.
+- data = sm.datasets.anes96.load()
+- exog = data.exog
+- # leave out last exog column
+- exog = exog[:,:-1]
+- exog = sm.add_constant(exog, prepend=True)
+- res1 = sm.MNLogit(data.endog, exog).fit(method="newton", disp=0)
+- # strip the header from the test
+- smry = "\n".join(res1.summary().as_text().split('\n')[9:])
+- cur_dir = os.path.dirname(os.path.abspath(__file__))
+- test_case_file = os.path.join(cur_dir, 'results', 'mn_logit_summary.txt')
+- test_case = open(test_case_file, 'r').read()
+- np.testing.assert_equal(smry, test_case[:-1])
+-
+ def test_issue_341():
+ data = sm.datasets.anes96.load()
+ exog = data.exog
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