Use test URLs that are less likely to disappear

Avoid 404 errors in stable when upstream reorganize the test data
(happened to two of these in 0.25 -> 1.0).

It is _not_ necessary to update the tag version on every package release,
only if these tests fail because they expect moved/changed data.

Author: Rebecca N. Palmer <[email protected]>
Forwarded: not-needed


Gbp-Pq: Name stable_test_urls.patch

Author: Debian Science Team

pandas/tests/io/excel/test_readers.py

@@ -563,7 +563,7 @@ def test_bad_engine_raises(self, read_ext):
     @tm.network
     def test_read_from_http_url(self, read_ext):
         url = (
-            "https://raw.githubusercontent.com/pandas-dev/pandas/master/"
+            "https://raw.githubusercontent.com/pandas-dev/pandas/v1.0.3/"
             "pandas/tests/io/data/excel/test1" + read_ext
         )
         url_table = pd.read_excel(url)

pandas/tests/io/parser/test_common.py

@@ -910,7 +910,7 @@ def test_url(all_parsers, csv_dir_path):
     kwargs = dict(sep="\t")
 
     url = (
-        "https://raw.github.com/pandas-dev/pandas/master/"
+        "https://github.com/pandas-dev/pandas/raw/v1.0.3/"
         "pandas/tests/io/parser/data/salaries.csv"
     )
     url_result = parser.read_csv(url, **kwargs)

pandas/tests/io/parser/test_network.py

@@ -32,7 +32,7 @@ def check_compressed_urls(salaries_table, compression, extension, mode, engine):
     # test reading compressed urls with various engines and
     # extension inference
     base_url = (
-        "https://github.com/pandas-dev/pandas/raw/master/"
+        "https://github.com/pandas-dev/pandas/raw/v1.0.3/"
         "pandas/tests/io/parser/data/salaries.csv"
     )
 

pandas/tests/io/test_html.py

@@ -134,7 +134,7 @@ def test_banklist_url(self):
     @tm.network
     def test_spam_url(self):
         url = (
-            "https://raw.githubusercontent.com/pandas-dev/pandas/master/"
+            "https://raw.githubusercontent.com/pandas-dev/pandas/v1.0.3/"
             "pandas/tests/io/data/html/spam.html"
         )
         df1 = self.read_html(url, ".*Water.*")