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] | 10
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|
def run(self):
model_path = self.arguments[0]
module_name, model_name = model_path.rsplit(".", 1)
try:
module = importlib.import_module(module_name)
except ImportError:
pass
model = getattr(module, model_name, None)
if model is None:
pass
if type(model) != Viewable:
pass
model_obj = model()
model_json = json.dumps(
json.loads(serialize_json(model_obj.dump(changed_only=False))),
sort_keys=True,
indent=2,
separators=(',', ': ')
)
rst_text = MODEL_TEMPLATE.render(
model_path=model_path,
model_json=model_json,
)
result = ViewList()
for line in rst_text.split("\n"):
result.append(line, "<bokeh-model>")
node = nodes.paragraph()
node.document = self.state.document
nested_parse_with_titles(self.state, result, node)
return node.children
|
|
10,202
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "hex"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "decode", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": " "}}, {"_type": "Constant", "_fields": {"kind": null, "value": ""}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "replace", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "76 A9 14 89 AB CD EF AB BA AB BA AB BA AB BA AB BA AB BA AB BA AB BA 88 AC"}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parse", "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "UNK_118"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "UNK_169"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "PUSH"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "«Í﫺«º«º«º«º«º«º«º"}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "UNK_136"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "CHECKSIG"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_sigop_count", "value": {"_type": "Name", "_fields": {"id": "script", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEquals", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_all", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Test", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "unittest", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Test(unittest.TestCase):
def test_all(self):
data = '76 A9 14 89 AB CD EF AB BA AB BA AB BA AB BA AB BA AB BA AB BA AB BA 88 AC'.replace(' ', '').decode('hex')
self.assertEquals(
list(script.parse(data)),
[('UNK_118', None), ('UNK_169', None), ('PUSH', '\x89\xab\xcd\xef\xab\xba\xab\xba\xab\xba\xab\xba\xab\xba\xab\xba\xab\xba\xab\xba'), ('UNK_136', None), ('CHECKSIG', None)],
)
self.assertEquals(script.get_sigop_count(data), 1)
|
|
10,203
|
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"attr": "cmd_line", "value": {"_type": "Name", "_fields": {"id": "eStatAPI", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "tmp_csv", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ext", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_output", "value": {"_type": "Name", "_fields": {"id": "eStatAPI", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "ext", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "response", "value": {"_type": "Name", "_fields": {"id": "eStatAPI", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_merge_data", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _merge_data(appId, ids, group_by, ext):
eStatAPI._['appId'] = appId
aggregate = request.args.get('aggregate') if request.args.get(
'aggregate') is not None else ''
data = eStatAPI.merge_data(ids, group_by, aggregate)
eStatAPI.path['tmp_merge'] = eStatAPI.path['tmp'] + '.'.join(
[eStatAPI._['appId'], ''.join([l for l in random.choice(eStatAPI.random_str)]), 'csv'])
data.to_csv(eStatAPI.path['tmp_merge'],
quoting=csv.QUOTE_NONNUMERIC, index=None)
tmp_csv = eStatAPI.cmd_line(eStatAPI.build_cmd(
['cat', eStatAPI.path['tmp_merge']]))
eStatAPI.cmd_line(eStatAPI.build_cmd(['rm', eStatAPI.path['tmp_merge']]))
return eStatAPI.response(eStatAPI.get_output(tmp_csv, ext), ext)
|
|
10,204
|
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|
def readdate(data):
datepos = -1
if data[:5] == 'DATE ':
datepos = 0
else:
datepos = data.find('\nDATE ')
if datepos >= 0:
datepos = datepos + 1
if datepos < 0:
return None
datestr = ''
datepos = datepos + 5
while True:
if datepos >= len(data):
return None
d = data[datepos]
if d >= '0' and d <= '9':
datestr = datestr + d
elif d == '\n' or d == '\r':
if len(datestr) == 8:
return datestr[:4] + '-' + datestr[4:6] + '-' + datestr[6:]
return None
elif d != ' ' and d != '-':
return None
datepos = datepos + 1
|
|
10,205
|
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{"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_filediff", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "submitter", "value": {"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "publish", "value": {"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_review", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diff_comment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_reply", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_list_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "review_reply_diff_comment_list_mimetype", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "setup_review_request_child_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_review_request_child_test(self, review_request):
if not review_request.repository_id:
# The group tests don't create a repository by default.
review_request.repository = self.create_repository()
review_request.save()
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review_request.publish(review_request.submitter)
review = self.create_review(review_request, publish=True)
self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=self.user)
return (get_review_reply_diff_comment_list_url(reply),
review_reply_diff_comment_list_mimetype)
|
|
10,206
|
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] | 9
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|
def setup_basic_get_test(self, user, with_local_site, local_site_name,
populate_items):
review_request = self.create_review_request(
create_repository=True,
with_local_site=with_local_site,
submitter=user,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user)
comment = self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=user)
if populate_items:
items = [
self.create_diff_comment(reply, filediff, reply_to=comment),
]
else:
items = []
return (get_review_reply_diff_comment_list_url(reply, local_site_name),
review_reply_diff_comment_list_mimetype,
items)
|
|
10,207
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "item_rsp", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "comment", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text_type"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "markdown"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rich_text", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text_type"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "plain"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "name": "compare_item", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def compare_item(self, item_rsp, comment):
self.assertEqual(item_rsp['id'], comment.pk)
self.assertEqual(item_rsp['text'], comment.text)
if comment.rich_text:
self.assertEqual(item_rsp['text_type'], 'markdown')
else:
self.assertEqual(item_rsp['text_type'], 'plain')
|
|
10,208
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "user", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "with_local_site", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "local_site_name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "post_valid_data", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_review_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "create_repository", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "with_local_site", "value": {"_type": "Name", "_fields": {"id": "with_local_site", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "submitter", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diffset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_filediff", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": 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{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_reply", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "local_site_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_list_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "review_reply_diff_comment_item_mimetype", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "reply_to_id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "text"}}], "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Test comment"}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}}}], "name": "setup_basic_post_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_basic_post_test(self, user, with_local_site, local_site_name,
post_valid_data):
review_request = self.create_review_request(
create_repository=True,
with_local_site=with_local_site,
submitter=user,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user, publish=True)
comment = self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=user)
return (get_review_reply_diff_comment_list_url(reply, local_site_name),
review_reply_diff_comment_item_mimetype,
{
'reply_to_id': comment.pk,
'text': 'Test comment',
},
[reply, comment])
|
|
10,209
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"_fields": {}}}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_list_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "review_reply_diff_comment_list_mimetype", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "setup_review_request_child_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_review_request_child_test(self, review_request):
if not review_request.repository_id:
# The group tests don't create a repository by default.
review_request.repository = self.create_repository()
review_request.save()
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review_request.publish(review_request.submitter)
review = self.create_review(review_request, publish=True)
self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=self.user)
return (get_review_reply_diff_comment_list_url(reply),
review_reply_diff_comment_list_mimetype)
|
|
10,210
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "item_rsp", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "comment", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "id"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text_type"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "markdown"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rich_text", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "text_type"}}, "value": {"_type": "Name", "_fields": {"id": "item_rsp", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "plain"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "name": "compare_item", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def compare_item(self, item_rsp, comment):
self.assertEqual(item_rsp['id'], comment.pk)
self.assertEqual(item_rsp['text'], comment.text)
if comment.rich_text:
self.assertEqual(item_rsp['text_type'], 'markdown')
else:
self.assertEqual(item_rsp['text_type'], 'plain')
|
|
10,211
|
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] | 8
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "user", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "with_local_site", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "local_site_name", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_review_request", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "create_repository", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "with_local_site", "value": {"_type": "Name", "_fields": {"id": "with_local_site", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "submitter", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diffset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_filediff", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_review", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diff_comment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_reply", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diff_comment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "reply_to", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "local_site_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_item_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}}}], "name": "setup_basic_delete_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_basic_delete_test(self, user, with_local_site, local_site_name):
review_request = self.create_review_request(
create_repository=True,
with_local_site=with_local_site,
submitter=user,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user, publish=True)
comment = self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=user)
reply_comment = self.create_diff_comment(reply, filediff,
reply_to=comment)
return (
get_review_reply_diff_comment_item_url(
reply, reply_comment.pk, local_site_name),
[reply_comment, reply]
)
|
|
10,212
|
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{"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "with_local_site", "value": {"_type": "Name", "_fields": {"id": "with_local_site", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "submitter", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diffset", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "diffset", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_filediff", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review_request", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_review", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "publish", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diff_comment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "review", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_reply", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "user", "value": {"_type": "Name", "_fields": {"id": "user", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "filediff", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "create_diff_comment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "reply_to", "value": {"_type": "Name", "_fields": {"id": "comment", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "reply", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "local_site_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_item_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "review_reply_diff_comment_item_mimetype", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "setup_basic_get_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_basic_get_test(self, user, with_local_site, local_site_name):
review_request = self.create_review_request(
create_repository=True,
with_local_site=with_local_site,
submitter=user,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user, publish=True)
comment = self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=user)
reply_comment = self.create_diff_comment(
reply, filediff, reply_to=comment)
return (
get_review_reply_diff_comment_item_url(
reply, reply_comment.pk, local_site_name),
review_reply_diff_comment_item_mimetype,
reply_comment
)
|
|
10,213
|
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{}}, "attr": "pk", "value": {"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "local_site_name", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "get_review_reply_diff_comment_item_url", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "review_reply_diff_comment_item_mimetype", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "text"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "Test comment"}}]}}, {"_type": "Name", "_fields": {"id": "reply_comment", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}]}}}}], "name": "setup_basic_put_test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setup_basic_put_test(self, user, with_local_site, local_site_name,
put_valid_data):
review_request = self.create_review_request(
create_repository=True,
with_local_site=with_local_site,
submitter=user,
publish=True)
diffset = self.create_diffset(review_request)
filediff = self.create_filediff(diffset)
review = self.create_review(review_request, user=user, publish=True)
comment = self.create_diff_comment(review, filediff)
reply = self.create_reply(review, user=user)
reply_comment = self.create_diff_comment(reply, filediff,
reply_to=comment)
return (
get_review_reply_diff_comment_item_url(
reply, reply_comment.pk, local_site_name),
review_reply_diff_comment_item_mimetype,
{
'text': 'Test comment',
},
reply_comment,
[])
|
|
10,214
|
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"decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "cell_id", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "C"}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "cell_id", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": {"_type": "JoinedStr", "_fields": {"values": [{"_type": "Constant", "_fields": {"kind": null, "value": "0>8"}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "cell_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "cell_name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_cell_name", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Name", "_fields": {"id": "staticmethod", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "name": "Base10xPipeline", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Base10xPipeline(object):
def __init__(self, config):
self.config = config
self.summary_filename = self.config.data_10x.data_10x_cell_summary
self.bam_filename = self.config.data_10x.data_10x_bam
self.bai_filename = self.config.data_10x.data_10x_bai
assert os.path.exists(self.summary_filename), self.summary_filename
assert os.path.exists(self.bam_filename), self.bam_filename
assert os.path.exists(self.bai_filename), self.bai_filename
self.summary_df = pd.read_csv(self.summary_filename, sep=',')
self.barcodes = {
k: v for (k, v) in
self.summary_df[['barcode', 'cell_id']].to_records(index=False)
}
self.genome = Genome(self.config)
assert self.genome is not None
@staticmethod
def _cell_name(cell_id):
cell_name = f"C{cell_id:0>8}"
return cell_name
|
|
10,215
|
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"value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "Genome", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "genome", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "genome", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self, config):
self.config = config
self.summary_filename = self.config.data_10x.data_10x_cell_summary
self.bam_filename = self.config.data_10x.data_10x_bam
self.bai_filename = self.config.data_10x.data_10x_bai
assert os.path.exists(self.summary_filename), self.summary_filename
assert os.path.exists(self.bam_filename), self.bam_filename
assert os.path.exists(self.bai_filename), self.bai_filename
self.summary_df = pd.read_csv(self.summary_filename, sep=',')
self.barcodes = {
k: v for (k, v) in
self.summary_df[['barcode', 'cell_id']].to_records(index=False)
}
self.genome = Genome(self.config)
assert self.genome is not None
|
|
10,216
|
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{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "target": {"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "contig", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "begin_pos", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "end_pos", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "segments", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "count", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "seg_index", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "sam_stats", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "stat", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "segments", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_build_segment_regions", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _build_segment_regions(self, segment_len=50_000_000):
with pysam.AlignmentFile(self.bam_filename, 'rb') as samfile:
assert samfile.check_index(), \
(self.bam_filename, self.bai_filename)
print(samfile.get_index_statistics())
sam_stats = samfile.get_index_statistics()
chrom_sizes = self.genome.chrom_sizes()
segments = []
index = 0
for stat in sam_stats:
contig = stat.contig
contig_name = contig
if contig_name not in chrom_sizes:
contig_name = "chr{}".format(contig)
if contig_name not in chrom_sizes:
continue
size = chrom_sizes[contig_name]['size']
count = size // segment_len
count = max(count, 1)
segment_size = size // count
for seg_index in range(count):
begin_pos = seg_index * segment_size
end_pos = (seg_index + 1) * segment_size - 1
if seg_index + 1 == count:
end_pos = size
index += 1
segments.append((index, (contig, begin_pos, end_pos)))
return segments
|
|
10,217
|
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|
class Extract10xPipeline(Base10xPipeline):
def __init__(self, config):
super(Extract10xPipeline, self).__init__(config)
self.reads_dirname = self.config.reads.reads_dir
def _build_segment_regions(self, segment_len=50_000_000):
with pysam.AlignmentFile(self.bam_filename, 'rb') as samfile:
assert samfile.check_index(), \
(self.bam_filename, self.bai_filename)
print(samfile.get_index_statistics())
sam_stats = samfile.get_index_statistics()
chrom_sizes = self.genome.chrom_sizes()
segments = []
index = 0
for stat in sam_stats:
contig = stat.contig
contig_name = contig
if contig_name not in chrom_sizes:
contig_name = "chr{}".format(contig)
if contig_name not in chrom_sizes:
continue
size = chrom_sizes[contig_name]['size']
count = size // segment_len
count = max(count, 1)
segment_size = size // count
for seg_index in range(count):
begin_pos = seg_index * segment_size
end_pos = (seg_index + 1) * segment_size - 1
if seg_index + 1 == count:
end_pos = size
index += 1
segments.append((index, (contig, begin_pos, end_pos)))
return segments
PROGRESS_STEP = 10_000
FLUSH_STEP = 2_000
def _process_segment(self, segment, region):
with pysam.AlignmentFile(self.bam_filename, 'rb') as samfile:
assert samfile.check_index(), \
(self.bam_filename, self.bai_filename)
chrom, begin, end = region
mapped = 0
cell_records = defaultdict(lambda: [])
for rec in samfile.fetch(chrom, begin, end):
if not rec.has_tag('CB'):
continue
mapped += 1
barcode = rec.get_tag('CB')
if barcode not in self.barcodes:
continue
cell_records[barcode].append(rec)
if len(cell_records[barcode]) > self.FLUSH_STEP:
if barcode in self.barcodes:
self._write_to_fastq(
barcode, segment, cell_records[barcode])
cell_records[barcode] = []
for barcode, records in cell_records.items():
if barcode in self.barcodes:
self._write_to_fastq(barcode, segment, records)
cell_records[barcode] = []
def _cell_segment_filename(self, cell_id, segment):
cell_name = self._cell_name(cell_id)
segment_name = f"{segment:0>8}"
filename = os.path.join(
self.reads_dirname,
cell_name,
f"{cell_name}_{segment_name}{self.config.reads.reads_suffix}"
)
return filename
def _cell_fragments(self, cell_id):
cell_name = self._cell_name(cell_id)
pattern = f"{cell_name}_*{self.config.reads.reads_suffix}"
pattern = os.path.join(
self.reads_dirname,
cell_name,
pattern
)
print(colored(
"merging fastq cell files {} ".format(
pattern
),
"green"))
filenames = glob.glob(pattern)
return filenames
def _write_to_fastq(self, barcode, segment, records):
cell = self.barcodes[barcode]
filename = self._cell_segment_filename(cell, segment)
os.makedirs(os.path.dirname(filename), exist_ok=True)
with gzip.open(filename, "at") as outfile:
for rec in records:
assert barcode == rec.get_tag('CB')
outfile.write('@')
outfile.write(rec.query_name)
outfile.write('\n')
outfile.write(rec.query_sequence)
outfile.write('\n')
outfile.write('+\n')
outfile.write(''.join(
[chr(ch + 33) for ch in rec.query_qualities]))
outfile.write('\n')
def _split_once(self, dry_run, segment):
segment_index, region = segment
contig, begin, end = region
print(colored(
"processing 10x bam file {} segment {}, {}:{}-{}".format(
self.bam_filename,
segment_index,
contig,
begin,
end
),
"green"))
if dry_run:
return
self._process_segment(segment_index, region)
def _merge_cell(self, dry_run, cell_id):
filenames = self._cell_fragments(cell_id)
if not filenames:
print(colored(
f"can't find segments for cell {cell_id}", 'red'))
return []
cell_name = self._cell_name(cell_id)
outfile = os.path.join(
self.reads_dirname,
f"{cell_name}{self.config.reads.reads_suffix}")
command = "cat {} > {}".format(
" ".join(filenames),
outfile
)
print(colored(command, "yellow"))
os.system(command)
command = "rm -f {}".format(" ".join(filenames))
print(colored(command, "yellow"))
os.system(command)
cell_segments_dirname = os.path.join(
self.reads_dirname,
cell_name
)
command = "rm -f {}".format(cell_segments_dirname)
print(colored(command, "yellow"))
os.system(command)
return filenames
def run(self, dask_client):
try:
self.config.check_nonempty_workdir(self.reads_dirname)
except ValueError:
return
command = "rm -rf {}/*".format(self.reads_dirname)
print(colored(command, 'yellow'))
os.system(command)
os.makedirs(self.reads_dirname, exist_ok=True)
segments = self._build_segment_regions(segment_len=50_000_000)
delayed_tasks = dask_client.map(
lambda segment: self._split_once(self.config.dry_run, segment),
segments
)
distributed.wait(delayed_tasks)
cells = self.barcodes.values()
delayed_tasks = dask_client.map(
lambda cell_id: self._merge_cell(self.config.dry_run, cell_id),
cells
)
distributed.wait(delayed_tasks)
|
|
10,218
|
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|
def _process_segment(self, segment, region):
with pysam.AlignmentFile(self.bam_filename, 'rb') as samfile:
assert samfile.check_index(), \
(self.bam_filename, self.bai_filename)
chrom, begin, end = region
mapped = 0
cell_records = defaultdict(lambda: [])
for rec in samfile.fetch(chrom, begin, end):
if not rec.has_tag('CB'):
continue
mapped += 1
barcode = rec.get_tag('CB')
if barcode not in self.barcodes:
continue
cell_records[barcode].append(rec)
if len(cell_records[barcode]) > self.FLUSH_STEP:
if barcode in self.barcodes:
self._write_to_fastq(
barcode, segment, cell_records[barcode])
cell_records[barcode] = []
for barcode, records in cell_records.items():
if barcode in self.barcodes:
self._write_to_fastq(barcode, segment, records)
cell_records[barcode] = []
|
|
10,219
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cell_id", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cell_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cell_name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cell_name", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "JoinedStr", "_fields": {"values": [{"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "cell_name", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": "_*"}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reads_suffix", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reads", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "config", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "conversion": -1, "format_spec": null}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "reads_dirname", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "cell_name", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "merging fastq cell files {} "}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "green"}}], "func": {"_type": "Name", "_fields": {"id": "colored", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pattern", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "glob", "value": {"_type": "Name", "_fields": {"id": "glob", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filenames", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "filenames", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_cell_fragments", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _cell_fragments(self, cell_id):
cell_name = self._cell_name(cell_id)
pattern = f"{cell_name}_*{self.config.reads.reads_suffix}"
pattern = os.path.join(
self.reads_dirname,
cell_name,
pattern
)
print(colored(
"merging fastq cell files {} ".format(
pattern
),
"green"))
filenames = glob.glob(pattern)
return filenames
|
|
10,220
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dry_run", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "segment", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "segment", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "segment_index", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "region", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "region", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "contig", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "begin", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "end", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bam_filename", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "segment_index", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "contig", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "begin", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "end", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "format", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "processing 10x bam file {} segment {}, {}:{}-{}"}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "green"}}], "func": {"_type": "Name", "_fields": {"id": "colored", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": null}}], "test": {"_type": "Name", "_fields": {"id": "dry_run", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "segment_index", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "region", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_process_segment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_split_once", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _split_once(self, dry_run, segment):
segment_index, region = segment
contig, begin, end = region
print(colored(
"processing 10x bam file {} segment {}, {}:{}-{}".format(
self.bam_filename,
segment_index,
contig,
begin,
end
),
"green"))
if dry_run:
return
self._process_segment(segment_index, region)
|
|
10,221
|
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] | 12
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "barcode", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "segment", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "records", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "barcode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "barcodes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": 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"_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "CB"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_tag", "value": {"_type": "Name", "_fields": {"id": "rec", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "@"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query_name", "value": {"_type": "Name", "_fields": {"id": "rec", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": 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{"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "ch", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 33}}}}], "func": {"_type": "Name", "_fields": {"id": "chr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "query_qualities", "value": {"_type": "Name", "_fields": {"id": "rec", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "ch", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "records", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "rec", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "filename", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "at"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "open", "value": {"_type": "Name", "_fields": {"id": "gzip", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "outfile", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "name": "_write_to_fastq", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _write_to_fastq(self, barcode, segment, records):
cell = self.barcodes[barcode]
filename = self._cell_segment_filename(cell, segment)
os.makedirs(os.path.dirname(filename), exist_ok=True)
with gzip.open(filename, "at") as outfile:
for rec in records:
assert barcode == rec.get_tag('CB')
outfile.write('@')
outfile.write(rec.query_name)
outfile.write('\n')
outfile.write(rec.query_sequence)
outfile.write('\n')
outfile.write('+\n')
outfile.write(''.join(
[chr(ch + 33) for ch in rec.query_qualities]))
outfile.write('\n')
|
|
10,222
|
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] | 11
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "dry_run", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cell_id", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cell_id", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_cell_fragments", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "filenames", "ctx": {"_type": "Store", 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"type_ignores": []}}
|
def _merge_cell(self, dry_run, cell_id):
filenames = self._cell_fragments(cell_id)
if not filenames:
print(colored(
f"can't find segments for cell {cell_id}", 'red'))
return []
cell_name = self._cell_name(cell_id)
outfile = os.path.join(
self.reads_dirname,
f"{cell_name}{self.config.reads.reads_suffix}")
command = "cat {} > {}".format(
" ".join(filenames),
outfile
)
print(colored(command, "yellow"))
os.system(command)
command = "rm -f {}".format(" ".join(filenames))
print(colored(command, "yellow"))
os.system(command)
cell_segments_dirname = os.path.join(
self.reads_dirname,
cell_name
)
command = "rm -f {}".format(cell_segments_dirname)
print(colored(command, "yellow"))
os.system(command)
return filenames
|
|
10,223
|
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|
def run(self, dask_client):
try:
self.config.check_nonempty_workdir(self.reads_dirname)
except ValueError:
return
command = "rm -rf {}/*".format(self.reads_dirname)
print(colored(command, 'yellow'))
os.system(command)
os.makedirs(self.reads_dirname, exist_ok=True)
segments = self._build_segment_regions(segment_len=50_000_000)
delayed_tasks = dask_client.map(
lambda segment: self._split_once(self.config.dry_run, segment),
segments
)
distributed.wait(delayed_tasks)
cells = self.barcodes.values()
delayed_tasks = dask_client.map(
lambda cell_id: self._merge_cell(self.config.dry_run, cell_id),
cells
)
distributed.wait(delayed_tasks)
|
|
10,224
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Section](#section)\n - [More](#more)\n - [Even more](#even-more)\n- [Other section](#other-section)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Section\n\ntext\n\n### More\n\n### Even more\n\n## Other section\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_basic_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_basic_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Section](#section)\n"
" - [More](#more)\n"
" - [Even more](#even-more)\n"
"- [Other section](#other-section)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Section\n\n"
"text\n\n"
"### More\n\n"
"### Even more\n\n"
"## Other section\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
|
|
10,225
|
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contents\n\n<!-- tocstop -->\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_empty_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Section](#section)\n - [More](#more)\n - [Even more](#even-more)\n- [Other section](#other-section)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Section\n\ntext\n\n### More\n\n### Even more\n\n## Other section\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_basic_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Section](#section)\n - [More](#more)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Section\n\ntext\n\n```\n## Ignored\n```\n### More\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_codeblock_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Advanced Find & Replace](#advanced-find--replace)\n- [Package as `package`](#package-as-package)\n- [Something _italicized_](#something-italicized)\n- [Something **bolded**](#something-bolded)\n- [Some _nested **chars `here`** now_](#some-nested-chars-here-now)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Advanced Find & Replace\n\n## Package as `package`\n\n## Something _italicized_\n\n## Something **bolded**\n\n## Some _nested **chars `here`** now_\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_weird_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Bork](#bork)\n- [Bork](#bork-1)\n- [Bork](#bork-2)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Bork\n\n## Bork\n\n## Bork\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_repeating_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestMarkdownToc", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FileTestCase", "value": {"_type": "Name", "_fields": {"id": "file_test_case", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestMarkdownToc(file_test_case.FileTestCase):
def setUp(self) -> None:
self.setup_helper(
lambda filename: markdown_toc.main(argv=["bin", filename])
)
def test_wrong_ext(self) -> None:
contents = "<!-- toc --><!-- tocstop -->\n"
self.assert_exit_code(contents, contents, ext=".py")
def test_bad_header_level(self) -> None:
contents = "<!-- toc --><!-- tocstop -->\n### Test"
self.assert_exit_code(contents, contents, exit_code=1)
def test_empty_file(self) -> None:
self.assert_exit_code("", "")
def test_empty_toc(self) -> None:
before = "<!-- toc --><!-- tocstop -->\n"
after = "<!-- toc -->\n\n## Table of contents\n\n<!-- tocstop -->\n"
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
def test_basic_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Section](#section)\n"
" - [More](#more)\n"
" - [Even more](#even-more)\n"
"- [Other section](#other-section)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Section\n\n"
"text\n\n"
"### More\n\n"
"### Even more\n\n"
"## Other section\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
def test_codeblock_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Section](#section)\n"
" - [More](#more)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Section\n\n"
"text\n\n"
"```\n"
"## Ignored\n"
"```\n"
"### More\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
def test_weird_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Advanced Find & Replace](#advanced-find--replace)\n"
"- [Package as `package`](#package-as-package)\n"
"- [Something _italicized_](#something-italicized)\n"
"- [Something **bolded**](#something-bolded)\n"
"- [Some _nested **chars `here`** now_]"
"(#some-nested-chars-here-now)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Advanced Find & Replace\n\n"
"## Package as `package`\n\n"
"## Something _italicized_\n\n"
"## Something **bolded**\n\n"
"## Some _nested **chars `here`** now_\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
def test_repeating_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Bork](#bork)\n"
"- [Bork](#bork-1)\n"
"- [Bork](#bork-2)\n"
"\n"
)
body = "<!-- tocstop -->\n\n## Bork\n\n## Bork\n\n## Bork\n\n"
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
|
|
10,226
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Section](#section)\n - [More](#more)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Section\n\ntext\n\n```\n## Ignored\n```\n### More\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_codeblock_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_codeblock_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Section](#section)\n"
" - [More](#more)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Section\n\n"
"text\n\n"
"```\n"
"## Ignored\n"
"```\n"
"### More\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
|
|
10,227
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Advanced Find & Replace](#advanced-find--replace)\n- [Package as `package`](#package-as-package)\n- [Something _italicized_](#something-italicized)\n- [Something **bolded**](#something-bolded)\n- [Some _nested **chars `here`** now_](#some-nested-chars-here-now)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Advanced Find & Replace\n\n## Package as `package`\n\n## Something _italicized_\n\n## Something **bolded**\n\n## Some _nested **chars `here`** now_\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_weird_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_weird_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Advanced Find & Replace](#advanced-find--replace)\n"
"- [Package as `package`](#package-as-package)\n"
"- [Something _italicized_](#something-italicized)\n"
"- [Something **bolded**](#something-bolded)\n"
"- [Some _nested **chars `here`** now_]"
"(#some-nested-chars-here-now)\n"
"\n"
)
body = (
"<!-- tocstop -->\n\n"
"## Advanced Find & Replace\n\n"
"## Package as `package`\n\n"
"## Something _italicized_\n\n"
"## Something **bolded**\n\n"
"## Some _nested **chars `here`** now_\n\n"
)
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
|
|
10,228
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assert", "_fields": {"msg": {"_type": "Constant", "_fields": {"kind": null, "value": "I should never get called."}}, "test": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "__getattribute__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "NeverCalled", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Target", "value": {"_type": "Name", "_fields": {"id": "messaging", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "topic", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "compute"}}}}, {"_type": "keyword", "_fields": {"arg": "server", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "host", "value": {"_type": "Name", "_fields": {"id": "CONF", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_server", "value": {"_type": "Name", "_fields": {"id": "rpc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "endpoints", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "NeverCalled", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "start", "value": {"_type": "Name", "_fields": {"id": "server", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_rpc_consumer_isolation", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_rpc_consumer_isolation(self):
class NeverCalled(object):
def __getattribute__(*args):
assert False, "I should never get called."
server = rpc.get_server(messaging.Target(topic='compute',
server=CONF.host),
endpoints=[NeverCalled()])
server.start()
|
|
10,229
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "# Header\n\n<!-- toc -->"}}, "targets": [{"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n\n## Table of contents\n\n- [Bork](#bork)\n- [Bork](#bork-1)\n- [Bork](#bork-2)\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "<!-- tocstop -->\n\n## Bork\n\n## Bork\n\n## Bork\n\n"}}, "targets": [{"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "header", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "toc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Name", "_fields": {"id": "body", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "before", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "after", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_exit_code", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_repeating_toc", "returns": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_repeating_toc(self) -> None:
header = "# Header\n\n<!-- toc -->"
toc = (
"\n\n## Table of contents\n\n"
"- [Bork](#bork)\n"
"- [Bork](#bork-1)\n"
"- [Bork](#bork-2)\n"
"\n"
)
body = "<!-- tocstop -->\n\n## Bork\n\n## Bork\n\n## Bork\n\n"
before = header + body
after = header + toc + body
self.assert_exit_code(before, after)
self.assert_exit_code(after, after)
|
|
10,230
|
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"Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}]}}]}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertJsonEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This should have raised a mismatch exception"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "describe", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mismatch", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3 != 4"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Matchee: {'top': {'l1': {'l2': ['c', 'a', 'b', 'd']}}}"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", 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{"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "top"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l1"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}]}}]}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": 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"_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "test_json_equal_fail_on_inner", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "JsonTestCase", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class JsonTestCase(test.TestCase):
def test_json_equal(self):
expected = {
"employees": [
{"firstName": "Anna", "lastName": "Smith"},
{"firstName": "John", "lastName": "Doe"},
{"firstName": "Peter", "lastName": "Jones"}
],
"locations": set(['Boston', 'Mumbai', 'Beijing', 'Perth'])
}
observed = """{
"employees": [
{
"lastName": "Doe",
"firstName": "John"
},
{
"lastName": "Smith",
"firstName": "Anna"
},
{
"lastName": "Jones",
"firstName": "Peter"
}
],
"locations": [
"Perth",
"Boston",
"Mumbai",
"Beijing"
]
}"""
self.assertJsonEqual(expected, observed)
def test_json_equal_fail_on_length(self):
expected = {
'top': {
'l1': {
'l2': ['a', 'b', 'c']
}
}
}
observed = {
'top': {
'l1': {
'l2': ['c', 'a', 'b', 'd']
}
}
}
try:
self.assertJsonEqual(expected, observed)
except Exception as e:
# error reported is going to be a cryptic length failure
# on the level2 structure.
self.assertEqual(e.mismatch.describe(), "3 != 4")
self.assertIn(
"Matchee: {'top': {'l1': {'l2': ['c', 'a', 'b', 'd']}}}",
six.text_type(e))
self.assertIn(
"Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}",
six.text_type(e))
else:
self.fail("This should have raised a mismatch exception")
def test_json_equal_fail_on_inner(self):
expected = {
'top': {
'l1': {
'l2': ['a', 'b', 'c']
}
}
}
observed = {
'top': {
'l1': {
'l2': ['c', 'a', 'd']
}
}
}
try:
self.assertJsonEqual(expected, observed)
except Exception as e:
# error reported is going to be a cryptic length failure
# on the level2 structure.
self.assertEqual(e.mismatch.describe(), "'b' != 'c'")
self.assertIn(
"Matchee: {'top': {'l1': {'l2': ['c', 'a', 'd']}}}",
six.text_type(e))
self.assertIn(
"Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}",
six.text_type(e))
else:
self.fail("This should have raised a mismatch exception")
|
|
10,231
|
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] | 11
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "top"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l1"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}]}}]}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "top"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l1"}}], "values": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "l2"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}]}}]}}]}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertJsonEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "This should have raised a mismatch exception"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "describe", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mismatch", "value": {"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3 != 4"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Matchee: {'top': {'l1': {'l2': ['c', 'a', 'b', 'd']}}}"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "test_json_equal_fail_on_length", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_json_equal_fail_on_length(self):
expected = {
'top': {
'l1': {
'l2': ['a', 'b', 'c']
}
}
}
observed = {
'top': {
'l1': {
'l2': ['c', 'a', 'b', 'd']
}
}
}
try:
self.assertJsonEqual(expected, observed)
except Exception as e:
# error reported is going to be a cryptic length failure
# on the level2 structure.
self.assertEqual(e.mismatch.describe(), "3 != 4")
self.assertIn(
"Matchee: {'top': {'l1': {'l2': ['c', 'a', 'b', 'd']}}}",
six.text_type(e))
self.assertIn(
"Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}",
six.text_type(e))
else:
self.fail("This should have raised a mismatch exception")
|
|
10,232
|
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"_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "text_type", "value": {"_type": "Name", "_fields": {"id": "six", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIn", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "test_json_equal_fail_on_inner", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_json_equal_fail_on_inner(self):
expected = {
'top': {
'l1': {
'l2': ['a', 'b', 'c']
}
}
}
observed = {
'top': {
'l1': {
'l2': ['c', 'a', 'd']
}
}
}
try:
self.assertJsonEqual(expected, observed)
except Exception as e:
# error reported is going to be a cryptic length failure
# on the level2 structure.
self.assertEqual(e.mismatch.describe(), "'b' != 'c'")
self.assertIn(
"Matchee: {'top': {'l1': {'l2': ['c', 'a', 'd']}}}",
six.text_type(e))
self.assertIn(
"Matcher: {'top': {'l1': {'l2': ['a', 'b', 'c']}}}",
six.text_type(e))
else:
self.fail("This should have raised a mismatch exception")
|
|
10,233
|
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class MatchTypeTestCase(test.TestCase):
def test_match_type_simple(self):
matcher = test.MatchType(dict)
self.assertEqual(matcher, {})
self.assertEqual(matcher, {"hello": "world"})
self.assertEqual(matcher, {"hello": ["world"]})
self.assertNotEqual(matcher, [])
self.assertNotEqual(matcher, [{"hello": "world"}])
self.assertNotEqual(matcher, 123)
self.assertNotEqual(matcher, "foo")
def test_match_type_object(self):
class Hello(object):
pass
class World(object):
pass
matcher = test.MatchType(Hello)
self.assertEqual(matcher, Hello())
self.assertNotEqual(matcher, World())
self.assertNotEqual(matcher, 123)
self.assertNotEqual(matcher, "foo")
|
|
10,234
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MatchType", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [], "values": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "hello"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "world"}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "hello"}}], "values": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "world"}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "hello"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "world"}}]}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 123}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_match_type_simple", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_match_type_simple(self):
matcher = test.MatchType(dict)
self.assertEqual(matcher, {})
self.assertEqual(matcher, {"hello": "world"})
self.assertEqual(matcher, {"hello": ["world"]})
self.assertNotEqual(matcher, [])
self.assertNotEqual(matcher, [{"hello": "world"}])
self.assertNotEqual(matcher, 123)
self.assertNotEqual(matcher, "foo")
|
|
10,235
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "Hello", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "ClassDef", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": "World", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Hello", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "MatchType", "value": {"_type": "Name", "_fields": {"id": "test", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Hello", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "World", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 123}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "matcher", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertNotEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_match_type_object", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_match_type_object(self):
class Hello(object):
pass
class World(object):
pass
matcher = test.MatchType(Hello)
self.assertEqual(matcher, Hello())
self.assertNotEqual(matcher, World())
self.assertNotEqual(matcher, 123)
self.assertNotEqual(matcher, "foo")
|
|
10,236
|
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "openstack_full_argument_spec", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}}}, {"_type": "keyword", "_fields": {"arg": "filters", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "required", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "dict"}}}}, {"_type": "keyword", "_fields": {"arg": "default", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "argument_spec", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "argument_spec", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "AnsibleModule", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "openstack_cloud_from_module", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "shade", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cloud", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "filters"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search_subnets", "value": {"_type": "Name", "_fields": {"id": "cloud", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "subnets", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exit_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "ansible_facts", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "openstack_subnets", "value": {"_type": "Name", "_fields": {"id": "subnets", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}]}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fail_json", "value": {"_type": "Name", "_fields": {"id": "module", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "msg", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}]}}}}], "name": "e", "type": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "OpenStackCloudException", "value": {"_type": "Name", "_fields": {"id": "shade", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "finalbody": []}}], "name": "main", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def main():
argument_spec = openstack_full_argument_spec(
name=dict(required=False, default=None),
filters=dict(required=False, type='dict', default=None)
)
module = AnsibleModule(argument_spec)
shade, cloud = openstack_cloud_from_module(module)
try:
subnets = cloud.search_subnets(module.params['name'],
module.params['filters'])
module.exit_json(changed=False, ansible_facts=dict(
openstack_subnets=subnets))
except shade.OpenStackCloudException as e:
module.fail_json(msg=str(e))
|
|
10,237
|
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"_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "title"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "seeds"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tryInt", "value": {"_type": "Name", "_fields": {"id": "helpers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "leechs"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tryInt", "value": {"_type": "Name", "_fields": {"id": "helpers", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "leechers", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "Torrent doesn't meet minimum seeds & leechers not selecting : %s"}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}, "orelse": []}}, {"_type": "Continue", "_fields": {}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "minseed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "leechers", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "minleech", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "torrent_hash"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "torrent_size"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "Torrent has less than 10 seeds getting dyn trackers: "}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "api"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "/trackers_json"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "trackerUrl", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "trackerUrl", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getURL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "json", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "maintenance"}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "magnet:?xt=urn:btih:"}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&dn="}}}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "&tr="}}, "right": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "magnet:?xt=urn:btih:"}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&dn="}}}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&tr=udp://tracker.openbittorrent.com:80&tr=udp://tracker.coppersurfer.tk:6969&tr=udp://open.demonii.com:1337&tr=udp://tracker.leechers-paradise.org:6969&tr=udp://exodus.desync.com:6969"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "AssertionError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "all", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "leechers", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "Found result: %s"}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "search_strings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "search_string", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sort", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "key", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "tup", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "tup", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "reverse", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "keys", "value": {"_type": "Name", "_fields": {"id": "search_strings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_doSearch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ratio", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "seedRatio", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TORRENTPROJECTProvider", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TorrentProvider", "value": {"_type": "Name", "_fields": {"id": "generic", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TORRENTPROJECTProvider(generic.TorrentProvider):
def __init__(self):
generic.TorrentProvider.__init__(self, "TorrentProject")
self.supportsBacklog = True
self.public = True
self.ratio = 0
self.urls = {'api': u'https://torrentproject.se/',}
self.url = self.urls['api']
self.headers.update({'User-Agent': USER_AGENT})
self.minseed = None
self.minleech = None
self.cache = TORRENTPROJECTCache(self)
def _doSearch(self, search_strings, search_mode='eponly', epcount=0, age=0, epObj=None):
results = []
items = {'Season': [], 'Episode': [], 'RSS': []}
for mode in search_strings.keys(): # Mode = RSS, Season, Episode
logger.log(u"Search Mode: %s" % mode, logger.DEBUG)
for search_string in search_strings[mode]:
if mode is not 'RSS':
logger.log(u"Search string: %s " % search_string, logger.DEBUG)
searchURL = self.urls['api'] + "?s=%s&out=json&filter=2101&num=150" % quote_plus(search_string.encode('utf-8'))
logger.log(u"Search URL: %s" % searchURL, logger.DEBUG)
torrents = self.getURL(searchURL, json=True)
if not (torrents and "total_found" in torrents and int(torrents["total_found"]) > 0):
logger.log(u"Data returned from provider does not contain any torrents", logger.DEBUG)
continue
del torrents["total_found"]
results = []
for i in torrents:
title = torrents[i]["title"]
seeders = helpers.tryInt(torrents[i]["seeds"], 1)
leechers = helpers.tryInt(torrents[i]["leechs"], 0)
if seeders < self.minseed or leechers < self.minleech:
if mode is not 'RSS':
logger.log(u"Torrent doesn't meet minimum seeds & leechers not selecting : %s" % title, logger.DEBUG)
continue
t_hash = torrents[i]["torrent_hash"]
size = int(torrents[i]["torrent_size"])
try:
assert seeders < 10
assert mode is not 'RSS'
logger.log(u"Torrent has less than 10 seeds getting dyn trackers: " + title, logger.DEBUG)
trackerUrl = self.urls['api'] + "" + t_hash + "/trackers_json"
jdata = self.getURL(trackerUrl, json=True)
assert jdata is not "maintenance"
download_url = "magnet:?xt=urn:btih:" + t_hash + "&dn=" + title + "".join(["&tr=" + s for s in jdata])
except (Exception, AssertionError):
download_url = "magnet:?xt=urn:btih:" + t_hash + "&dn=" + title + "&tr=udp://tracker.openbittorrent.com:80&tr=udp://tracker.coppersurfer.tk:6969&tr=udp://open.demonii.com:1337&tr=udp://tracker.leechers-paradise.org:6969&tr=udp://exodus.desync.com:6969"
if not all([title, download_url]):
continue
item = title, download_url, size, seeders, leechers
if mode is not 'RSS':
logger.log(u"Found result: %s" % title, logger.DEBUG)
items[mode].append(item)
# For each search mode sort all the items by seeders
items[mode].sort(key=lambda tup: tup[3], reverse=True)
results += items[mode]
return results
def seedRatio(self):
return self.ratio
|
|
10,238
|
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"value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}, "orelse": []}}, {"_type": "Continue", "_fields": {}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "minseed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "leechers", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "minleech", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "torrent_hash"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "torrent_size"}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "int", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Try", "_fields": {"body": [{"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Lt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "Torrent has less than 10 seeds getting dyn trackers: "}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "api"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "/trackers_json"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "trackerUrl", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "trackerUrl", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "getURL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "json", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "maintenance"}}]}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "magnet:?xt=urn:btih:"}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&dn="}}}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Call", "_fields": {"args": [{"_type": "ListComp", "_fields": {"elt": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "&tr="}}, "right": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "jdata", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": ""}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "magnet:?xt=urn:btih:"}}, "right": {"_type": "Name", "_fields": {"id": "t_hash", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&dn="}}}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "&tr=udp://tracker.openbittorrent.com:80&tr=udp://tracker.coppersurfer.tk:6969&tr=udp://open.demonii.com:1337&tr=udp://tracker.leechers-paradise.org:6969&tr=udp://exodus.desync.com:6969"}}}}, "targets": [{"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "name": null, "type": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "AssertionError", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "all", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "download_url", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "size", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "seeders", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "leechers", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": "u", "value": "Found result: %s"}}, "right": {"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "log", "value": {"_type": "Name", "_fields": {"id": "logger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "RSS"}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "item", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "torrents", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "search_strings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "search_string", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sort", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "key", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "tup", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, "value": {"_type": "Name", "_fields": {"id": "tup", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "reverse", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}, {"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "items", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Store", "_fields": {}}}}}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "keys", "value": {"_type": "Name", "_fields": {"id": "search_strings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_doSearch", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _doSearch(self, search_strings, search_mode='eponly', epcount=0, age=0, epObj=None):
results = []
items = {'Season': [], 'Episode': [], 'RSS': []}
for mode in search_strings.keys(): # Mode = RSS, Season, Episode
logger.log(u"Search Mode: %s" % mode, logger.DEBUG)
for search_string in search_strings[mode]:
if mode is not 'RSS':
logger.log(u"Search string: %s " % search_string, logger.DEBUG)
searchURL = self.urls['api'] + "?s=%s&out=json&filter=2101&num=150" % quote_plus(search_string.encode('utf-8'))
logger.log(u"Search URL: %s" % searchURL, logger.DEBUG)
torrents = self.getURL(searchURL, json=True)
if not (torrents and "total_found" in torrents and int(torrents["total_found"]) > 0):
logger.log(u"Data returned from provider does not contain any torrents", logger.DEBUG)
continue
del torrents["total_found"]
results = []
for i in torrents:
title = torrents[i]["title"]
seeders = helpers.tryInt(torrents[i]["seeds"], 1)
leechers = helpers.tryInt(torrents[i]["leechs"], 0)
if seeders < self.minseed or leechers < self.minleech:
if mode is not 'RSS':
logger.log(u"Torrent doesn't meet minimum seeds & leechers not selecting : %s" % title, logger.DEBUG)
continue
t_hash = torrents[i]["torrent_hash"]
size = int(torrents[i]["torrent_size"])
try:
assert seeders < 10
assert mode is not 'RSS'
logger.log(u"Torrent has less than 10 seeds getting dyn trackers: " + title, logger.DEBUG)
trackerUrl = self.urls['api'] + "" + t_hash + "/trackers_json"
jdata = self.getURL(trackerUrl, json=True)
assert jdata is not "maintenance"
download_url = "magnet:?xt=urn:btih:" + t_hash + "&dn=" + title + "".join(["&tr=" + s for s in jdata])
except (Exception, AssertionError):
download_url = "magnet:?xt=urn:btih:" + t_hash + "&dn=" + title + "&tr=udp://tracker.openbittorrent.com:80&tr=udp://tracker.coppersurfer.tk:6969&tr=udp://open.demonii.com:1337&tr=udp://tracker.leechers-paradise.org:6969&tr=udp://exodus.desync.com:6969"
if not all([title, download_url]):
continue
item = title, download_url, size, seeders, leechers
if mode is not 'RSS':
logger.log(u"Found result: %s" % title, logger.DEBUG)
items[mode].append(item)
# For each search mode sort all the items by seeders
items[mode].sort(key=lambda tup: tup[3], reverse=True)
results += items[mode]
return results
|
|
10,239
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "TorrentProject"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TorrentProvider", "value": {"_type": "Name", "_fields": {"id": "generic", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "supportsBacklog", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "public", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "ratio", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "api"}}], "values": [{"_type": "Constant", "_fields": {"kind": "u", "value": "https://torrentproject.se/"}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "api"}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "urls", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "url", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "User-Agent"}}], "values": [{"_type": "Name", "_fields": {"id": "USER_AGENT", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "update", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "headers", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "minseed", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "minleech", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "TORRENTPROJECTCache", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "cache", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self):
generic.TorrentProvider.__init__(self, "TorrentProject")
self.supportsBacklog = True
self.public = True
self.ratio = 0
self.urls = {'api': u'https://torrentproject.se/',}
self.url = self.urls['api']
self.headers.update({'User-Agent': USER_AGENT})
self.minseed = None
self.minleech = None
self.cache = TORRENTPROJECTCache(self)
|
|
10,240
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"timedelta64[s]"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "astype", "value": {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_index_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_freq_conversion", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestTimedeltaIndex", "bases": [{"_type": "Name", "_fields": {"id": "DatetimeLike", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestTimedeltaIndex(DatetimeLike):
_holder = TimedeltaIndex
def setup_method(self, method):
self.indices = dict(index=tm.makeTimedeltaIndex(10))
self.setup_indices()
def create_index(self):
return pd.to_timedelta(range(5), unit='d') + pd.offsets.Hour(1)
def test_numeric_compat(self):
# Dummy method to override super's version; this test is now done
# in test_arithmetic.py
pass
def test_shift(self):
pass # this is handled in test_arithmetic.py
def test_pickle_compat_construction(self):
pass
def test_fillna_timedelta(self):
# GH 11343
idx = pd.TimedeltaIndex(['1 day', pd.NaT, '3 day'])
exp = pd.TimedeltaIndex(['1 day', '2 day', '3 day'])
tm.assert_index_equal(idx.fillna(pd.Timedelta('2 day')), exp)
exp = pd.TimedeltaIndex(['1 day', '3 hour', '3 day'])
idx.fillna(pd.Timedelta('3 hour'))
exp = pd.Index(
[pd.Timedelta('1 day'), 'x', pd.Timedelta('3 day')], dtype=object)
tm.assert_index_equal(idx.fillna('x'), exp)
def test_difference_freq(self):
# GH14323: Difference of TimedeltaIndex should not preserve frequency
index = timedelta_range("0 days", "5 days", freq="D")
other = timedelta_range("1 days", "4 days", freq="D")
expected = TimedeltaIndex(["0 days", "5 days"], freq=None)
idx_diff = index.difference(other)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
other = timedelta_range("2 days", "5 days", freq="D")
idx_diff = index.difference(other)
expected = TimedeltaIndex(["0 days", "1 days"], freq=None)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
def test_isin(self):
index = tm.makeTimedeltaIndex(4)
result = index.isin(index)
assert result.all()
result = index.isin(list(index))
assert result.all()
assert_almost_equal(index.isin([index[2], 5]),
np.array([False, False, True, False]))
def test_factorize(self):
idx1 = TimedeltaIndex(['1 day', '1 day', '2 day', '2 day', '3 day',
'3 day'])
exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = TimedeltaIndex(['1 day', '2 day', '3 day'])
arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
# freq must be preserved
idx3 = timedelta_range('1 day', periods=4, freq='s')
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)
arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
def test_join_self(self, join_type):
index = timedelta_range('1 day', periods=10)
joined = index.join(index, how=join_type)
tm.assert_index_equal(index, joined)
def test_does_not_convert_mixed_integer(self):
df = tm.makeCustomDataframe(10, 10,
data_gen_f=lambda *args, **kwargs: randn(),
r_idx_type='i', c_idx_type='td')
str(df)
cols = df.columns.join(df.index, how='outer')
joined = cols.join(df.columns)
assert cols.dtype == np.dtype('O')
assert cols.dtype == joined.dtype
tm.assert_index_equal(cols, joined)
def test_sort_values(self):
idx = TimedeltaIndex(['4d', '1d', '2d'])
ordered = idx.sort_values()
assert ordered.is_monotonic
ordered = idx.sort_values(ascending=False)
assert ordered[::-1].is_monotonic
ordered, dexer = idx.sort_values(return_indexer=True)
assert ordered.is_monotonic
tm.assert_numpy_array_equal(dexer, np.array([1, 2, 0]),
check_dtype=False)
ordered, dexer = idx.sort_values(return_indexer=True, ascending=False)
assert ordered[::-1].is_monotonic
tm.assert_numpy_array_equal(dexer, np.array([0, 2, 1]),
check_dtype=False)
def test_get_duplicates(self):
idx = TimedeltaIndex(['1 day', '2 day', '2 day', '3 day', '3day',
'4day'])
with tm.assert_produces_warning(FutureWarning):
# Deprecated - see GH20239
result = idx.get_duplicates()
ex = TimedeltaIndex(['2 day', '3day'])
tm.assert_index_equal(result, ex)
def test_argmin_argmax(self):
idx = TimedeltaIndex(['1 day 00:00:05', '1 day 00:00:01',
'1 day 00:00:02'])
assert idx.argmin() == 1
assert idx.argmax() == 0
def test_misc_coverage(self):
rng = timedelta_range('1 day', periods=5)
result = rng.groupby(rng.days)
assert isinstance(list(result.values())[0][0], Timedelta)
idx = TimedeltaIndex(['3d', '1d', '2d'])
assert not idx.equals(list(idx))
non_td = Index(list('abc'))
assert not idx.equals(list(non_td))
def test_map(self):
# test_map_dictlike generally tests
rng = timedelta_range('1 day', periods=10)
f = lambda x: x.days
result = rng.map(f)
exp = Int64Index([f(x) for x in rng])
tm.assert_index_equal(result, exp)
def test_pass_TimedeltaIndex_to_index(self):
rng = timedelta_range('1 days', '10 days')
idx = Index(rng, dtype=object)
expected = Index(rng.to_pytimedelta(), dtype=object)
tm.assert_numpy_array_equal(idx.values, expected.values)
def test_pickle(self):
rng = timedelta_range('1 days', periods=10)
rng_p = tm.round_trip_pickle(rng)
tm.assert_index_equal(rng, rng_p)
def test_hash_error(self):
index = timedelta_range('1 days', periods=10)
with tm.assert_raises_regex(TypeError, "unhashable type: %r" %
type(index).__name__):
hash(index)
def test_append_join_nondatetimeindex(self):
rng = timedelta_range('1 days', periods=10)
idx = Index(['a', 'b', 'c', 'd'])
result = rng.append(idx)
assert isinstance(result[0], Timedelta)
# it works
rng.join(idx, how='outer')
def test_append_numpy_bug_1681(self):
td = timedelta_range('1 days', '10 days', freq='2D')
a = DataFrame()
c = DataFrame({'A': 'foo', 'B': td}, index=td)
str(c)
result = a.append(c)
assert (result['B'] == td).all()
def test_fields(self):
rng = timedelta_range('1 days, 10:11:12.100123456', periods=2,
freq='s')
tm.assert_index_equal(rng.days, Index([1, 1], dtype='int64'))
tm.assert_index_equal(
rng.seconds,
Index([10 * 3600 + 11 * 60 + 12, 10 * 3600 + 11 * 60 + 13],
dtype='int64'))
tm.assert_index_equal(
rng.microseconds,
Index([100 * 1000 + 123, 100 * 1000 + 123], dtype='int64'))
tm.assert_index_equal(rng.nanoseconds,
Index([456, 456], dtype='int64'))
pytest.raises(AttributeError, lambda: rng.hours)
pytest.raises(AttributeError, lambda: rng.minutes)
pytest.raises(AttributeError, lambda: rng.milliseconds)
# with nat
s = Series(rng)
s[1] = np.nan
tm.assert_series_equal(s.dt.days, Series([1, np.nan], index=[0, 1]))
tm.assert_series_equal(s.dt.seconds, Series(
[10 * 3600 + 11 * 60 + 12, np.nan], index=[0, 1]))
# preserve name (GH15589)
rng.name = 'name'
assert rng.days.name == 'name'
def test_freq_conversion(self):
# doc example
# series
td = Series(date_range('20130101', periods=4)) - \
Series(date_range('20121201', periods=4))
td[2] += timedelta(minutes=5, seconds=3)
td[3] = np.nan
result = td / np.timedelta64(1, 'D')
expected = Series([31, 31, (31 * 86400 + 5 * 60 + 3) / 86400.0, np.nan
])
assert_series_equal(result, expected)
result = td.astype('timedelta64[D]')
expected = Series([31, 31, 31, np.nan])
assert_series_equal(result, expected)
result = td / np.timedelta64(1, 's')
expected = Series([31 * 86400, 31 * 86400, 31 * 86400 + 5 * 60 + 3,
np.nan])
assert_series_equal(result, expected)
result = td.astype('timedelta64[s]')
assert_series_equal(result, expected)
# tdi
td = TimedeltaIndex(td)
result = td / np.timedelta64(1, 'D')
expected = Index([31, 31, (31 * 86400 + 5 * 60 + 3) / 86400.0, np.nan])
assert_index_equal(result, expected)
result = td.astype('timedelta64[D]')
expected = Index([31, 31, 31, np.nan])
assert_index_equal(result, expected)
result = td / np.timedelta64(1, 's')
expected = Index([31 * 86400, 31 * 86400, 31 * 86400 + 5 * 60 + 3,
np.nan])
assert_index_equal(result, expected)
result = td.astype('timedelta64[s]')
assert_index_equal(result, expected)
|
|
10,241
|
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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fillna", "value": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 day"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Timedelta", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "x"}}, {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "3 day"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Timedelta", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Index", "value": {"_type": "Name", "_fields": {"id": "pd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "exp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "x"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "fillna", "value": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, {"_type": "Name", "_fields": {"id": "exp", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_fillna_timedelta", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_fillna_timedelta(self):
# GH 11343
idx = pd.TimedeltaIndex(['1 day', pd.NaT, '3 day'])
exp = pd.TimedeltaIndex(['1 day', '2 day', '3 day'])
tm.assert_index_equal(idx.fillna(pd.Timedelta('2 day')), exp)
exp = pd.TimedeltaIndex(['1 day', '3 hour', '3 day'])
idx.fillna(pd.Timedelta('3 hour'))
exp = pd.Index(
[pd.Timedelta('1 day'), 'x', pd.Timedelta('3 day')], dtype=object)
tm.assert_index_equal(idx.fillna('x'), exp)
|
|
10,242
|
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] | 9
|
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|
def test_isin(self):
index = tm.makeTimedeltaIndex(4)
result = index.isin(index)
assert result.all()
result = index.isin(list(index))
assert result.all()
assert_almost_equal(index.isin([index[2], 5]),
np.array([False, False, True, False]))
|
|
10,243
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "0 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "5 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "freq", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "D"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "4 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "freq", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "D"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "other", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "0 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "5 days"}}]}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "freq", "value": 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{"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "0 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}]}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "freq", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx_diff", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "freq"}}, {"_type": "Name", "_fields": {"id": "idx_diff", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_attr_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_difference_freq", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_difference_freq(self):
# GH14323: Difference of TimedeltaIndex should not preserve frequency
index = timedelta_range("0 days", "5 days", freq="D")
other = timedelta_range("1 days", "4 days", freq="D")
expected = TimedeltaIndex(["0 days", "5 days"], freq=None)
idx_diff = index.difference(other)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
other = timedelta_range("2 days", "5 days", freq="D")
idx_diff = index.difference(other)
expected = TimedeltaIndex(["0 days", "1 days"], freq=None)
tm.assert_index_equal(idx_diff, expected)
tm.assert_attr_equal('freq', idx_diff, expected)
|
|
10,244
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "makeCustomDataframe", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "data_gen_f", "value": {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": {"_type": "arg", "_fields": {"arg": "kwargs", "annotation": null, "type_comment": null}}, "vararg": {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "randn", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}}}, {"_type": "keyword", "_fields": {"arg": "r_idx_type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "i"}}}}, {"_type": "keyword", "_fields": {"arg": "c_idx_type", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "td"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": 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"Load", "_fields": {}}, "attr": "columns", "value": {"_type": "Name", "_fields": {"id": "df", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Name", "_fields": {"id": "cols", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "joined", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "cols", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "O"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "cols", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "joined", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cols", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "joined", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_does_not_convert_mixed_integer", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_does_not_convert_mixed_integer(self):
df = tm.makeCustomDataframe(10, 10,
data_gen_f=lambda *args, **kwargs: randn(),
r_idx_type='i', c_idx_type='td')
str(df)
cols = df.columns.join(df.index, how='outer')
joined = cols.join(df.columns)
assert cols.dtype == np.dtype('O')
assert cols.dtype == joined.dtype
tm.assert_index_equal(cols, joined)
|
|
10,245
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"attr": "factorize", "value": {"_type": "Name", "_fields": {"id": "idx3", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "arr", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "arr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "exp_arr", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_numpy_array_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "idx3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_factorize", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_factorize(self):
idx1 = TimedeltaIndex(['1 day', '1 day', '2 day', '2 day', '3 day',
'3 day'])
exp_arr = np.array([0, 0, 1, 1, 2, 2], dtype=np.intp)
exp_idx = TimedeltaIndex(['1 day', '2 day', '3 day'])
arr, idx = idx1.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
arr, idx = idx1.factorize(sort=True)
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, exp_idx)
# freq must be preserved
idx3 = timedelta_range('1 day', periods=4, freq='s')
exp_arr = np.array([0, 1, 2, 3], dtype=np.intp)
arr, idx = idx3.factorize()
tm.assert_numpy_array_equal(arr, exp_arr)
tm.assert_index_equal(idx, idx3)
|
|
10,246
|
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"_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "lower": null, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "ordered", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dexer", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_numpy_array_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "check_dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}], "name": "test_sort_values", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_sort_values(self):
idx = TimedeltaIndex(['4d', '1d', '2d'])
ordered = idx.sort_values()
assert ordered.is_monotonic
ordered = idx.sort_values(ascending=False)
assert ordered[::-1].is_monotonic
ordered, dexer = idx.sort_values(return_indexer=True)
assert ordered.is_monotonic
tm.assert_numpy_array_equal(dexer, np.array([1, 2, 0]),
check_dtype=False)
ordered, dexer = idx.sort_values(return_indexer=True, ascending=False)
assert ordered[::-1].is_monotonic
tm.assert_numpy_array_equal(dexer, np.array([0, 2, 1]),
check_dtype=False)
|
|
10,247
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "2 day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "2 day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3 day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "4day"}}]}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_duplicates", "value": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "FutureWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_produces_warning", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "2 day"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "3day"}}]}}], "func": {"_type": "Name", "_fields": {"id": "TimedeltaIndex", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ex", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ex", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_get_duplicates", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_get_duplicates(self):
idx = TimedeltaIndex(['1 day', '2 day', '2 day', '3 day', '3day',
'4day'])
with tm.assert_produces_warning(FutureWarning):
# Deprecated - see GH20239
result = idx.get_duplicates()
ex = TimedeltaIndex(['2 day', '3day'])
tm.assert_index_equal(result, ex)
|
|
10,248
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 day"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "periods", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 5}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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[]}}, "targets": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "equals", "value": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "abc"}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "Index", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "non_td", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "non_td", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "list", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "equals", "value": {"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}}}], "name": "test_misc_coverage", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_misc_coverage(self):
rng = timedelta_range('1 day', periods=5)
result = rng.groupby(rng.days)
assert isinstance(list(result.values())[0][0], Timedelta)
idx = TimedeltaIndex(['3d', '1d', '2d'])
assert not idx.equals(list(idx))
non_td = Index(list('abc'))
assert not idx.equals(list(non_td))
|
|
10,249
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|
def test_map(self):
# test_map_dictlike generally tests
rng = timedelta_range('1 day', periods=10)
f = lambda x: x.days
result = rng.map(f)
exp = Int64Index([f(x) for x in rng])
tm.assert_index_equal(result, exp)
|
|
10,250
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|
def test_pass_TimedeltaIndex_to_index(self):
rng = timedelta_range('1 days', '10 days')
idx = Index(rng, dtype=object)
expected = Index(rng.to_pytimedelta(), dtype=object)
tm.assert_numpy_array_equal(idx.values, expected.values)
|
|
10,251
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "periods", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "a"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "b"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "c"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "d"}}]}}], "func": {"_type": "Name", "_fields": {"id": "Index", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "Timedelta", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "idx", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "how", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "outer"}}}}]}}}}], "name": "test_append_join_nondatetimeindex", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_append_join_nondatetimeindex(self):
rng = timedelta_range('1 days', periods=10)
idx = Index(['a', 'b', 'c', 'd'])
result = rng.append(idx)
assert isinstance(result[0], Timedelta)
# it works
rng.join(idx, how='outer')
|
|
10,252
|
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"_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 100}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1000}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 123}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "Index", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "int64"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nanoseconds", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 456}}, {"_type": "Constant", "_fields": {"kind": null, "value": 456}}]}}], "func": {"_type": "Name", "_fields": {"id": "Index", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dtype", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "int64"}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_index_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "hours", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "minutes", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "AttributeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "milliseconds", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "raises", "value": {"_type": "Name", "_fields": {"id": "pytest", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "days", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dt", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "index", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_series_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seconds", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dt", "value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3600}}}}, "right": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": 11}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 60}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 12}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "Series", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "index", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_series_equal", "value": {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "days", "value": {"_type": "Name", "_fields": {"id": "rng", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}]}}}}], "name": "test_fields", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_fields(self):
rng = timedelta_range('1 days, 10:11:12.100123456', periods=2,
freq='s')
tm.assert_index_equal(rng.days, Index([1, 1], dtype='int64'))
tm.assert_index_equal(
rng.seconds,
Index([10 * 3600 + 11 * 60 + 12, 10 * 3600 + 11 * 60 + 13],
dtype='int64'))
tm.assert_index_equal(
rng.microseconds,
Index([100 * 1000 + 123, 100 * 1000 + 123], dtype='int64'))
tm.assert_index_equal(rng.nanoseconds,
Index([456, 456], dtype='int64'))
pytest.raises(AttributeError, lambda: rng.hours)
pytest.raises(AttributeError, lambda: rng.minutes)
pytest.raises(AttributeError, lambda: rng.milliseconds)
# with nat
s = Series(rng)
s[1] = np.nan
tm.assert_series_equal(s.dt.days, Series([1, np.nan], index=[0, 1]))
tm.assert_series_equal(s.dt.seconds, Series(
[10 * 3600 + 11 * 60 + 12, np.nan], index=[0, 1]))
# preserve name (GH15589)
rng.name = 'name'
assert rng.days.name == 'name'
|
|
10,253
|
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] | 9
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "1 days"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10 days"}}], "func": {"_type": "Name", "_fields": {"id": "timedelta_range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "freq", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "2D"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "DataFrame", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "A"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "foo"}}, {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "DataFrame", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "index", "value": {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "a", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assert", "_fields": {"msg": null, "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "all", "value": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "B"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}, "keywords": []}}}}], "name": "test_append_numpy_bug_1681", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_append_numpy_bug_1681(self):
td = timedelta_range('1 days', '10 days', freq='2D')
a = DataFrame()
c = DataFrame({'A': 'foo', 'B': td}, index=td)
str(c)
result = a.append(c)
assert (result['B'] == td).all()
|
|
10,254
|
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] | 9
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "request", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "view", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "is_authenticated", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "user", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "auth", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "method", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "scope_map", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "allowed_scopes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_scopes", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "auth", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "current_scopes", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "GeneratorExp", "_fields": {"elt": {"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "allowed_scopes", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "generators": [{"_type": "comprehension", "_fields": {"ifs": [], "iter": {"_type": "Name", "_fields": {"id": "current_scopes", "ctx": {"_type": "Load", "_fields": {}}}}, "target": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Store", "_fields": {}}}}, "is_async": 0}}]}}], "func": {"_type": "Name", "_fields": {"id": "any", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "has_permission", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def has_permission(self, request, view):
# session-based auth has all scopes for a logged in user
if not request.auth:
return request.user.is_authenticated()
allowed_scopes = set(self.scope_map.get(request.method, []))
current_scopes = request.auth.get_scopes()
return any(s in allowed_scopes for s in current_scopes)
|
|
10,255
|
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{"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_index_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "timedelta64[s]"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "astype", "value": {"_type": "Name", "_fields": {"id": "td", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_index_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_freq_conversion", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_freq_conversion(self):
# doc example
# series
td = Series(date_range('20130101', periods=4)) - \
Series(date_range('20121201', periods=4))
td[2] += timedelta(minutes=5, seconds=3)
td[3] = np.nan
result = td / np.timedelta64(1, 'D')
expected = Series([31, 31, (31 * 86400 + 5 * 60 + 3) / 86400.0, np.nan
])
assert_series_equal(result, expected)
result = td.astype('timedelta64[D]')
expected = Series([31, 31, 31, np.nan])
assert_series_equal(result, expected)
result = td / np.timedelta64(1, 's')
expected = Series([31 * 86400, 31 * 86400, 31 * 86400 + 5 * 60 + 3,
np.nan])
assert_series_equal(result, expected)
result = td.astype('timedelta64[s]')
assert_series_equal(result, expected)
# tdi
td = TimedeltaIndex(td)
result = td / np.timedelta64(1, 'D')
expected = Index([31, 31, (31 * 86400 + 5 * 60 + 3) / 86400.0, np.nan])
assert_index_equal(result, expected)
result = td.astype('timedelta64[D]')
expected = Index([31, 31, 31, np.nan])
assert_index_equal(result, expected)
result = td / np.timedelta64(1, 's')
expected = Index([31 * 86400, 31 * 86400, 31 * 86400 + 5 * 60 + 3,
np.nan])
assert_index_equal(result, expected)
result = td.astype('timedelta64[s]')
assert_index_equal(result, expected)
|
|
10,256
|
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] | 11
|
{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "Client", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "login", "value": 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"value": "/date/weekday/1/"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s, %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 200}}], "func": 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|
class URLTests(TestCase):
def setUp(self):
self.client = Client()
self.client.login(
username=settings.TEST_USERNAME,
password=settings.TEST_PASSWORD)
def test_urls(self):
urls = [
"/date/",
"/date/month/",
"/date/month/add/",
"/date/month/1/",
"/date/season/",
"/date/season/add/",
"/date/season/5/",
"/date/weekday/",
"/date/weekday/add/",
"/date/weekday/1/"]
for url in urls:
response = self.client.get(url)
log.info("%s, %s" % (response.status_code, url))
self.assertEqual(response.status_code, 200)
|
|
10,257
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] | 10
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "/date/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/month/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/month/add/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/month/1/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/season/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/season/add/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/season/5/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/weekday/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/weekday/add/"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "/date/weekday/1/"}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "client", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "%s, %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "info", "value": {"_type": "Name", "_fields": {"id": "log", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "status_code", "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 200}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Name", "_fields": {"id": "urls", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "url", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_urls", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_urls(self):
urls = [
"/date/",
"/date/month/",
"/date/month/add/",
"/date/month/1/",
"/date/season/",
"/date/season/add/",
"/date/season/5/",
"/date/weekday/",
"/date/weekday/add/",
"/date/weekday/1/"]
for url in urls:
response = self.client.get(url)
log.info("%s, %s" % (response.status_code, url))
self.assertEqual(response.status_code, 200)
|
|
10,258
|
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"Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selectedrealkind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "selectedrealkind", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "selectedintkind", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "selectedintkind", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selectedintkind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selected_int_kind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "selectedintkind(%s): expected %r but got %r"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selected_int_kind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selectedintkind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 40}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selectedrealkind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selected_real_kind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}]}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "selectedrealkind(%s): expected %r but got %r"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selected_real_kind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selectedrealkind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 20}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_all", "returns": null, "type_params": [], "type_comment": null, "decorator_list": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "slow", "value": {"_type": "Name", "_fields": {"id": "dec", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "name": "TestKind", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "F2PyTest", "value": {"_type": "Name", "_fields": {"id": "util", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestKind(util.F2PyTest):
sources = [_path('src', 'kind', 'foo.f90')]
@dec.slow
def test_all(self):
selectedrealkind = self.module.selectedrealkind
selectedintkind = self.module.selectedintkind
for i in range(40):
assert_(selectedintkind(i) in [selected_int_kind(i), -1],
'selectedintkind(%s): expected %r but got %r' %
(i, selected_int_kind(i), selectedintkind(i)))
for i in range(20):
assert_(selectedrealkind(i) in [selected_real_kind(i), -1],
'selectedrealkind(%s): expected %r but got %r' %
(i, selected_real_kind(i), selectedrealkind(i)))
|
|
10,259
|
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{"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selected_real_kind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "selectedrealkind", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 20}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_all", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_all(self):
selectedrealkind = self.module.selectedrealkind
selectedintkind = self.module.selectedintkind
for i in range(40):
assert_(selectedintkind(i) in [selected_int_kind(i), -1],
'selectedintkind(%s): expected %r but got %r' %
(i, selected_int_kind(i), selectedintkind(i)))
for i in range(20):
assert_(selectedrealkind(i) in [selected_real_kind(i), -1],
'selectedrealkind(%s): expected %r but got %r' %
(i, selected_real_kind(i), selectedrealkind(i)))
|
|
10,260
|
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|
class TestShapiro(TestCase):
def test_basic(self):
x1 = [0.11,7.87,4.61,10.14,7.95,3.14,0.46,
4.43,0.21,4.75,0.71,1.52,3.24,
0.93,0.42,4.97,9.53,4.55,0.47,6.66]
w,pw = stats.shapiro(x1)
assert_almost_equal(w,0.90047299861907959,6)
assert_almost_equal(pw,0.042089745402336121,6)
x2 = [1.36,1.14,2.92,2.55,1.46,1.06,5.27,-1.11,
3.48,1.10,0.88,-0.51,1.46,0.52,6.20,1.69,
0.08,3.67,2.81,3.49]
w,pw = stats.shapiro(x2)
assert_almost_equal(w,0.9590270,6)
assert_almost_equal(pw,0.52460,3)
def test_bad_arg(self):
# Length of x is less than 3.
x = [1]
assert_raises(ValueError, stats.shapiro, x)
|
|
10,261
|
[
0.005843997001647949,
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] | 7
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.11}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.87}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.61}}, {"_type": "Constant", "_fields": {"kind": null, "value": 10.14}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.95}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.14}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.46}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.43}}, {"_type": "Constant", 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{"_type": "Constant", "_fields": {"kind": null, "value": 0.959027}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pw", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.5246}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_basic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_basic(self):
x1 = [0.11,7.87,4.61,10.14,7.95,3.14,0.46,
4.43,0.21,4.75,0.71,1.52,3.24,
0.93,0.42,4.97,9.53,4.55,0.47,6.66]
w,pw = stats.shapiro(x1)
assert_almost_equal(w,0.90047299861907959,6)
assert_almost_equal(pw,0.042089745402336121,6)
x2 = [1.36,1.14,2.92,2.55,1.46,1.06,5.27,-1.11,
3.48,1.10,0.88,-0.51,1.46,0.52,6.20,1.69,
0.08,3.67,2.81,3.49]
w,pw = stats.shapiro(x2)
assert_almost_equal(w,0.9590270,6)
assert_almost_equal(pw,0.52460,3)
|
|
10,262
|
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] | 8
|
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|
def test_normal(self):
rs = RandomState(1234567890)
x1 = rs.standard_exponential(size=50)
x2 = rs.standard_normal(size=50)
A,crit,sig = stats.anderson(x1)
assert_array_less(crit[:-1], A)
A,crit,sig = stats.anderson(x2)
assert_array_less(A, crit[-2:])
|
|
10,263
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"value": {"_type": "Constant", "_fields": {"kind": null, "value": "plate_of_shrimp"}}}}]}}}}], "name": "test_bad_arg", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestAnderson", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestAnderson(TestCase):
def test_normal(self):
rs = RandomState(1234567890)
x1 = rs.standard_exponential(size=50)
x2 = rs.standard_normal(size=50)
A,crit,sig = stats.anderson(x1)
assert_array_less(crit[:-1], A)
A,crit,sig = stats.anderson(x2)
assert_array_less(A, crit[-2:])
def test_expon(self):
rs = RandomState(1234567890)
x1 = rs.standard_exponential(size=50)
x2 = rs.standard_normal(size=50)
A,crit,sig = stats.anderson(x1,'expon')
assert_array_less(A, crit[-2:])
olderr = np.seterr(all='ignore')
try:
A,crit,sig = stats.anderson(x2,'expon')
finally:
np.seterr(**olderr)
assert_(A > crit[-1])
def test_bad_arg(self):
assert_raises(ValueError, stats.anderson, [1], dist='plate_of_shrimp')
|
|
10,264
|
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"name": "test_expon", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_expon(self):
rs = RandomState(1234567890)
x1 = rs.standard_exponential(size=50)
x2 = rs.standard_normal(size=50)
A,crit,sig = stats.anderson(x1,'expon')
assert_array_less(A, crit[-2:])
olderr = np.seterr(all='ignore')
try:
A,crit,sig = stats.anderson(x2,'expon')
finally:
np.seterr(**olderr)
assert_(A > crit[-1])
|
|
10,265
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|
class TestAndersonKSamp(TestCase):
def test_example1a(self):
# Example data from Scholz & Stephens (1987), originally
# published in Lehmann (1995, Nonparametrics, Statistical
# Methods Based on Ranks, p. 309)
# Pass a mixture of lists and arrays
t1 = [38.7, 41.5, 43.8, 44.5, 45.5, 46.0, 47.7, 58.0]
t2 = np.array([39.2, 39.3, 39.7, 41.4, 41.8, 42.9, 43.3, 45.8])
t3 = np.array([34.0, 35.0, 39.0, 40.0, 43.0, 43.0, 44.0, 45.0])
t4 = np.array([34.0, 34.8, 34.8, 35.4, 37.2, 37.8, 41.2, 42.8])
assert_warns(UserWarning, stats.anderson_ksamp, (t1, t2, t3, t4),
midrank=False)
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4), midrank=False)
assert_almost_equal(Tk, 4.449, 3)
assert_array_almost_equal([0.4985, 1.3237, 1.9158, 2.4930, 3.2459],
tm, 4)
assert_almost_equal(p, 0.0021, 4)
def test_example1b(self):
# Example data from Scholz & Stephens (1987), originally
# published in Lehmann (1995, Nonparametrics, Statistical
# Methods Based on Ranks, p. 309)
# Pass arrays
t1 = np.array([38.7, 41.5, 43.8, 44.5, 45.5, 46.0, 47.7, 58.0])
t2 = np.array([39.2, 39.3, 39.7, 41.4, 41.8, 42.9, 43.3, 45.8])
t3 = np.array([34.0, 35.0, 39.0, 40.0, 43.0, 43.0, 44.0, 45.0])
t4 = np.array([34.0, 34.8, 34.8, 35.4, 37.2, 37.8, 41.2, 42.8])
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4), midrank=True)
assert_almost_equal(Tk, 4.480, 3)
assert_array_almost_equal([0.4985, 1.3237, 1.9158, 2.4930, 3.2459],
tm, 4)
assert_almost_equal(p, 0.0020, 4)
def test_example2a(self):
# Example data taken from an earlier technical report of
# Scholz and Stephens
# Pass lists instead of arrays
t1 = [194, 15, 41, 29, 33, 181]
t2 = [413, 14, 58, 37, 100, 65, 9, 169, 447, 184, 36, 201, 118]
t3 = [34, 31, 18, 18, 67, 57, 62, 7, 22, 34]
t4 = [90, 10, 60, 186, 61, 49, 14, 24, 56, 20, 79, 84, 44, 59, 29,
118, 25, 156, 310, 76, 26, 44, 23, 62]
t5 = [130, 208, 70, 101, 208]
t6 = [74, 57, 48, 29, 502, 12, 70, 21, 29, 386, 59, 27]
t7 = [55, 320, 56, 104, 220, 239, 47, 246, 176, 182, 33]
t8 = [23, 261, 87, 7, 120, 14, 62, 47, 225, 71, 246, 21, 42, 20, 5,
12, 120, 11, 3, 14, 71, 11, 14, 11, 16, 90, 1, 16, 52, 95]
t9 = [97, 51, 11, 4, 141, 18, 142, 68, 77, 80, 1, 16, 106, 206, 82,
54, 31, 216, 46, 111, 39, 63, 18, 191, 18, 163, 24]
t10 = [50, 44, 102, 72, 22, 39, 3, 15, 197, 188, 79, 88, 46, 5, 5, 36,
22, 139, 210, 97, 30, 23, 13, 14]
t11 = [359, 9, 12, 270, 603, 3, 104, 2, 438]
t12 = [50, 254, 5, 283, 35, 12]
t13 = [487, 18, 100, 7, 98, 5, 85, 91, 43, 230, 3, 130]
t14 = [102, 209, 14, 57, 54, 32, 67, 59, 134, 152, 27, 14, 230, 66,
61, 34]
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4, t5, t6, t7, t8,
t9, t10, t11, t12, t13, t14),
midrank=False)
assert_almost_equal(Tk, 3.288, 3)
assert_array_almost_equal([0.5990, 1.3269, 1.8052, 2.2486, 2.8009],
tm, 4)
assert_almost_equal(p, 0.0041, 4)
def test_example2b(self):
# Example data taken from an earlier technical report of
# Scholz and Stephens
t1 = [194, 15, 41, 29, 33, 181]
t2 = [413, 14, 58, 37, 100, 65, 9, 169, 447, 184, 36, 201, 118]
t3 = [34, 31, 18, 18, 67, 57, 62, 7, 22, 34]
t4 = [90, 10, 60, 186, 61, 49, 14, 24, 56, 20, 79, 84, 44, 59, 29,
118, 25, 156, 310, 76, 26, 44, 23, 62]
t5 = [130, 208, 70, 101, 208]
t6 = [74, 57, 48, 29, 502, 12, 70, 21, 29, 386, 59, 27]
t7 = [55, 320, 56, 104, 220, 239, 47, 246, 176, 182, 33]
t8 = [23, 261, 87, 7, 120, 14, 62, 47, 225, 71, 246, 21, 42, 20, 5,
12, 120, 11, 3, 14, 71, 11, 14, 11, 16, 90, 1, 16, 52, 95]
t9 = [97, 51, 11, 4, 141, 18, 142, 68, 77, 80, 1, 16, 106, 206, 82,
54, 31, 216, 46, 111, 39, 63, 18, 191, 18, 163, 24]
t10 = [50, 44, 102, 72, 22, 39, 3, 15, 197, 188, 79, 88, 46, 5, 5, 36,
22, 139, 210, 97, 30, 23, 13, 14]
t11 = [359, 9, 12, 270, 603, 3, 104, 2, 438]
t12 = [50, 254, 5, 283, 35, 12]
t13 = [487, 18, 100, 7, 98, 5, 85, 91, 43, 230, 3, 130]
t14 = [102, 209, 14, 57, 54, 32, 67, 59, 134, 152, 27, 14, 230, 66,
61, 34]
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4, t5, t6, t7, t8,
t9, t10, t11, t12, t13, t14),
midrank=True)
assert_almost_equal(Tk, 3.294, 3)
assert_array_almost_equal([0.5990, 1.3269, 1.8052, 2.2486, 2.8009],
tm, 4)
assert_almost_equal(p, 0.0041, 4)
def test_not_enough_samples(self):
assert_raises(ValueError, stats.anderson_ksamp, np.ones(5))
def test_no_distinct_observations(self):
assert_raises(ValueError, stats.anderson_ksamp,
(np.ones(5), np.ones(5)))
def test_empty_sample(self):
assert_raises(ValueError, stats.anderson_ksamp, (np.ones(5), []))
|
|
10,266
|
[
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|
def test_example1b(self):
# Example data from Scholz & Stephens (1987), originally
# published in Lehmann (1995, Nonparametrics, Statistical
# Methods Based on Ranks, p. 309)
# Pass arrays
t1 = np.array([38.7, 41.5, 43.8, 44.5, 45.5, 46.0, 47.7, 58.0])
t2 = np.array([39.2, 39.3, 39.7, 41.4, 41.8, 42.9, 43.3, 45.8])
t3 = np.array([34.0, 35.0, 39.0, 40.0, 43.0, 43.0, 44.0, 45.0])
t4 = np.array([34.0, 34.8, 34.8, 35.4, 37.2, 37.8, 41.2, 42.8])
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4), midrank=True)
assert_almost_equal(Tk, 4.480, 3)
assert_array_almost_equal([0.4985, 1.3237, 1.9158, 2.4930, 3.2459],
tm, 4)
assert_almost_equal(p, 0.0020, 4)
|
|
10,267
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|
def test_example1a(self):
# Example data from Scholz & Stephens (1987), originally
# published in Lehmann (1995, Nonparametrics, Statistical
# Methods Based on Ranks, p. 309)
# Pass a mixture of lists and arrays
t1 = [38.7, 41.5, 43.8, 44.5, 45.5, 46.0, 47.7, 58.0]
t2 = np.array([39.2, 39.3, 39.7, 41.4, 41.8, 42.9, 43.3, 45.8])
t3 = np.array([34.0, 35.0, 39.0, 40.0, 43.0, 43.0, 44.0, 45.0])
t4 = np.array([34.0, 34.8, 34.8, 35.4, 37.2, 37.8, 41.2, 42.8])
assert_warns(UserWarning, stats.anderson_ksamp, (t1, t2, t3, t4),
midrank=False)
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4), midrank=False)
assert_almost_equal(Tk, 4.449, 3)
assert_array_almost_equal([0.4985, 1.3237, 1.9158, 2.4930, 3.2459],
tm, 4)
assert_almost_equal(p, 0.0021, 4)
|
|
10,268
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{"_type": "Constant", "_fields": {"kind": null, "value": 3.294}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.599}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.3269}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.8052}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.2486}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.8009}}]}}, {"_type": "Name", "_fields": {"id": "tm", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0041}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_example2b", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_example2b(self):
# Example data taken from an earlier technical report of
# Scholz and Stephens
t1 = [194, 15, 41, 29, 33, 181]
t2 = [413, 14, 58, 37, 100, 65, 9, 169, 447, 184, 36, 201, 118]
t3 = [34, 31, 18, 18, 67, 57, 62, 7, 22, 34]
t4 = [90, 10, 60, 186, 61, 49, 14, 24, 56, 20, 79, 84, 44, 59, 29,
118, 25, 156, 310, 76, 26, 44, 23, 62]
t5 = [130, 208, 70, 101, 208]
t6 = [74, 57, 48, 29, 502, 12, 70, 21, 29, 386, 59, 27]
t7 = [55, 320, 56, 104, 220, 239, 47, 246, 176, 182, 33]
t8 = [23, 261, 87, 7, 120, 14, 62, 47, 225, 71, 246, 21, 42, 20, 5,
12, 120, 11, 3, 14, 71, 11, 14, 11, 16, 90, 1, 16, 52, 95]
t9 = [97, 51, 11, 4, 141, 18, 142, 68, 77, 80, 1, 16, 106, 206, 82,
54, 31, 216, 46, 111, 39, 63, 18, 191, 18, 163, 24]
t10 = [50, 44, 102, 72, 22, 39, 3, 15, 197, 188, 79, 88, 46, 5, 5, 36,
22, 139, 210, 97, 30, 23, 13, 14]
t11 = [359, 9, 12, 270, 603, 3, 104, 2, 438]
t12 = [50, 254, 5, 283, 35, 12]
t13 = [487, 18, 100, 7, 98, 5, 85, 91, 43, 230, 3, 130]
t14 = [102, 209, 14, 57, 54, 32, 67, 59, 134, 152, 27, 14, 230, 66,
61, 34]
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4, t5, t6, t7, t8,
t9, t10, t11, t12, t13, t14),
midrank=True)
assert_almost_equal(Tk, 3.294, 3)
assert_array_almost_equal([0.5990, 1.3269, 1.8052, 2.2486, 2.8009],
tm, 4)
assert_almost_equal(p, 0.0041, 4)
|
|
10,269
|
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"_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.0041}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_example2a", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_example2a(self):
# Example data taken from an earlier technical report of
# Scholz and Stephens
# Pass lists instead of arrays
t1 = [194, 15, 41, 29, 33, 181]
t2 = [413, 14, 58, 37, 100, 65, 9, 169, 447, 184, 36, 201, 118]
t3 = [34, 31, 18, 18, 67, 57, 62, 7, 22, 34]
t4 = [90, 10, 60, 186, 61, 49, 14, 24, 56, 20, 79, 84, 44, 59, 29,
118, 25, 156, 310, 76, 26, 44, 23, 62]
t5 = [130, 208, 70, 101, 208]
t6 = [74, 57, 48, 29, 502, 12, 70, 21, 29, 386, 59, 27]
t7 = [55, 320, 56, 104, 220, 239, 47, 246, 176, 182, 33]
t8 = [23, 261, 87, 7, 120, 14, 62, 47, 225, 71, 246, 21, 42, 20, 5,
12, 120, 11, 3, 14, 71, 11, 14, 11, 16, 90, 1, 16, 52, 95]
t9 = [97, 51, 11, 4, 141, 18, 142, 68, 77, 80, 1, 16, 106, 206, 82,
54, 31, 216, 46, 111, 39, 63, 18, 191, 18, 163, 24]
t10 = [50, 44, 102, 72, 22, 39, 3, 15, 197, 188, 79, 88, 46, 5, 5, 36,
22, 139, 210, 97, 30, 23, 13, 14]
t11 = [359, 9, 12, 270, 603, 3, 104, 2, 438]
t12 = [50, 254, 5, 283, 35, 12]
t13 = [487, 18, 100, 7, 98, 5, 85, 91, 43, 230, 3, 130]
t14 = [102, 209, 14, 57, 54, 32, 67, 59, 134, 152, 27, 14, 230, 66,
61, 34]
with warnings.catch_warnings():
warnings.filterwarnings('ignore', message='approximate p-value')
Tk, tm, p = stats.anderson_ksamp((t1, t2, t3, t4, t5, t6, t7, t8,
t9, t10, t11, t12, t13, t14),
midrank=False)
assert_almost_equal(Tk, 3.288, 3)
assert_array_almost_equal([0.5990, 1.3269, 1.8052, 2.2486, 2.8009],
tm, 4)
assert_almost_equal(p, 0.0041, 4)
|
|
10,270
|
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|
class TestAnsari(TestCase):
def test_small(self):
x = [1,2,3,3,4]
y = [3,2,6,1,6,1,4,1]
W, pval = stats.ansari(x,y)
assert_almost_equal(W,23.5,11)
assert_almost_equal(pval,0.13499256881897437,11)
def test_approx(self):
ramsay = np.array((111, 107, 100, 99, 102, 106, 109, 108, 104, 99,
101, 96, 97, 102, 107, 113, 116, 113, 110, 98))
parekh = np.array((107, 108, 106, 98, 105, 103, 110, 105, 104,
100, 96, 108, 103, 104, 114, 114, 113, 108, 106, 99))
with warnings.catch_warnings():
warnings.filterwarnings('ignore',
message="Ties preclude use of exact statistic.")
W, pval = stats.ansari(ramsay, parekh)
assert_almost_equal(W,185.5,11)
assert_almost_equal(pval,0.18145819972867083,11)
def test_exact(self):
W,pval = stats.ansari([1,2,3,4],[15,5,20,8,10,12])
assert_almost_equal(W,10.0,11)
assert_almost_equal(pval,0.533333333333333333,7)
def test_bad_arg(self):
assert_raises(ValueError, stats.ansari, [], [1])
assert_raises(ValueError, stats.ansari, [1], [])
|
|
10,271
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] | 8
|
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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "catch_warnings", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "W", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 185.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 11}}], "func": {"_type": "Name", "_fields": {"id": 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|
def test_approx(self):
ramsay = np.array((111, 107, 100, 99, 102, 106, 109, 108, 104, 99,
101, 96, 97, 102, 107, 113, 116, 113, 110, 98))
parekh = np.array((107, 108, 106, 98, 105, 103, 110, 105, 104,
100, 96, 108, 103, 104, 114, 114, 113, 108, 106, 99))
with warnings.catch_warnings():
warnings.filterwarnings('ignore',
message="Ties preclude use of exact statistic.")
W, pval = stats.ansari(ramsay, parekh)
assert_almost_equal(W,185.5,11)
assert_almost_equal(pval,0.18145819972867083,11)
|
|
10,272
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] | 8
|
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|
class TestBartlett(TestCase):
def test_data(self):
args = [g1, g2, g3, g4, g5, g6, g7, g8, g9, g10]
T, pval = stats.bartlett(*args)
assert_almost_equal(T,20.78587342806484,7)
assert_almost_equal(pval,0.0136358632781,7)
def test_bad_arg(self):
# Too few args raises ValueError.
assert_raises(ValueError, stats.bartlett, [1])
|
|
10,273
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{"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 200.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1234}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "permutation", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "trimmed"}}}}, {"_type": "keyword", "_fields": {"arg": "proportiontocut", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.125}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W0", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval0", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "trimmed"}}}}, {"_type": "keyword", "_fields": {"arg": "proportiontocut", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.125}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W1", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval1", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "upper": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}}}, "value": {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "mean"}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W2", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval2", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "W0", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "W2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "W1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "W2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pval1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_trimmed2", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 21}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1234}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "permutation", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}, "targets": [{"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "mean"}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W1", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval1", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "median"}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "W2", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval2", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "W1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "W2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "pval1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_equal_mean_median", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 21}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "TypeError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "portiontocut", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.1}}}}]}}}}], "name": "test_bad_keyword", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 21}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "center", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "trim"}}}}]}}}}], "name": "test_bad_center_value", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "levene", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_too_few_args", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestLevene", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestLevene(TestCase):
def test_data(self):
args = [g1, g2, g3, g4, g5, g6, g7, g8, g9, g10]
W, pval = stats.levene(*args)
assert_almost_equal(W,1.7059176930008939,7)
assert_almost_equal(pval,0.0990829755522,7)
def test_trimmed1(self):
# Test that center='trimmed' gives the same result as center='mean'
# when proportiontocut=0.
W1, pval1 = stats.levene(g1, g2, g3, center='mean')
W2, pval2 = stats.levene(g1, g2, g3, center='trimmed', proportiontocut=0.0)
assert_almost_equal(W1, W2)
assert_almost_equal(pval1, pval2)
def test_trimmed2(self):
x = [1.2, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 100.0]
y = [0.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 200.0]
np.random.seed(1234)
x2 = np.random.permutation(x)
# Use center='trimmed'
W0, pval0 = stats.levene(x, y, center='trimmed', proportiontocut=0.125)
W1, pval1 = stats.levene(x2, y, center='trimmed', proportiontocut=0.125)
# Trim the data here, and use center='mean'
W2, pval2 = stats.levene(x[1:-1], y[1:-1], center='mean')
# Result should be the same.
assert_almost_equal(W0, W2)
assert_almost_equal(W1, W2)
assert_almost_equal(pval1, pval2)
def test_equal_mean_median(self):
x = np.linspace(-1,1,21)
np.random.seed(1234)
x2 = np.random.permutation(x)
y = x**3
W1, pval1 = stats.levene(x, y, center='mean')
W2, pval2 = stats.levene(x2, y, center='median')
assert_almost_equal(W1, W2)
assert_almost_equal(pval1, pval2)
def test_bad_keyword(self):
x = np.linspace(-1,1,21)
assert_raises(TypeError, stats.levene, x, x, portiontocut=0.1)
def test_bad_center_value(self):
x = np.linspace(-1,1,21)
assert_raises(ValueError, stats.levene, x, x, center='trim')
def test_too_few_args(self):
assert_raises(ValueError, stats.levene, [1])
|
|
10,274
|
[
0.01273252721875906,
-0.02222873643040657,
0.026109740138053894,
-0.048815540969371796,
-0.00046981414197944105,
0.025735821574926376,
0.0003590089036151767,
0.01797381602227688,
0.010959643870592117,
0.06544841080904007,
0.03027440421283245,
-0.007968305610120296,
-0.04164664447307587,
0.029165545478463173,
0.01299040112644434,
0.029629718512296677,
0.025697141885757446,
0.026561018079519272,
-0.04868660494685173,
0.0657578632235527,
-0.02123592235147953,
0.014544092118740082,
0.0346066877245903,
-0.049408651888370514,
0.02862401120364666,
-0.01863139495253563,
0.05332833528518677,
0.005002755206078291,
0.03370412811636925,
0.0048319133929908276,
0.01277120877057314,
-0.029010821133852005,
0.009683167561888695,
-0.03811377286911011,
-0.03811377286911011,
0.012190992012619972,
0.023930704221129417,
0.0049737440422177315,
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|
def test_trimmed2(self):
x = [1.2, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 100.0]
y = [0.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 200.0]
np.random.seed(1234)
x2 = np.random.permutation(x)
# Use center='trimmed'
W0, pval0 = stats.levene(x, y, center='trimmed', proportiontocut=0.125)
W1, pval1 = stats.levene(x2, y, center='trimmed', proportiontocut=0.125)
# Trim the data here, and use center='mean'
W2, pval2 = stats.levene(x[1:-1], y[1:-1], center='mean')
# Result should be the same.
assert_almost_equal(W0, W2)
assert_almost_equal(W1, W2)
assert_almost_equal(pval1, pval2)
|
|
10,275
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 21}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "linspace", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": 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|
def test_equal_mean_median(self):
x = np.linspace(-1,1,21)
np.random.seed(1234)
x2 = np.random.permutation(x)
y = x**3
W1, pval1 = stats.levene(x, y, center='mean')
W2, pval2 = stats.levene(x2, y, center='median')
assert_almost_equal(W1, W2)
assert_almost_equal(pval1, pval2)
|
|
10,276
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"FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "binom_test", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 100}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "binom_test", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 100}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "n", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 50}}}}]}}}}], "name": "test_bad_n", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "binom_test", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 50}}, {"_type": "Constant", "_fields": {"kind": null, "value": 50}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_raises", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "p", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}}}]}}}}], "name": "test_bad_p", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestBinomP", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestBinomP(TestCase):
def test_data(self):
pval = stats.binom_test(100,250)
assert_almost_equal(pval,0.0018833009350757682,11)
pval = stats.binom_test(201,405)
assert_almost_equal(pval,0.92085205962670713,11)
pval = stats.binom_test([682,243],p=3.0/4)
assert_almost_equal(pval,0.38249155957481695,11)
def test_bad_len_x(self):
# Length of x must be 1 or 2.
assert_raises(ValueError, stats.binom_test, [1,2,3])
def test_bad_n(self):
# len(x) is 1, but n is invalid.
# Missing n
assert_raises(ValueError, stats.binom_test, [100])
# n less than x[0]
assert_raises(ValueError, stats.binom_test, [100], n=50)
def test_bad_p(self):
assert_raises(ValueError, stats.binom_test, [50, 50], p=2.0)
|
|
10,277
|
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"Name", "_fields": {"id": "repeated", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "counts", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_empty_result", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "TestFindRepeats", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestFindRepeats(TestCase):
def test_basic(self):
a = [1,2,3,4,1,2,3,4,1,2,5]
res,nums = stats.find_repeats(a)
assert_array_equal(res,[1,2,3,4])
assert_array_equal(nums,[3,3,2,2])
def test_empty_result(self):
# Check that empty arrays are returned when there are no repeats.
a = [10, 20, 50, 30, 40]
repeated, counts = stats.find_repeats(a)
assert_array_equal(repeated, [])
assert_array_equal(counts, [])
|
|
10,278
|
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] | 8
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 1.2}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 7.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 4.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 5.5}}, {"_type": "Constant", "_fields": {"kind": null, "value": 200.0}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", 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"Name", "_fields": {"id": "pval1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "pval2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_trimmed2", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_trimmed2(self):
x = [1.2, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 100.0]
y = [0.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 200.0]
# Use center='trimmed'
Xsq1, pval1 = stats.fligner(x, y, center='trimmed', proportiontocut=0.125)
# Trim the data here, and use center='mean'
Xsq2, pval2 = stats.fligner(x[1:-1], y[1:-1], center='mean')
# Result should be the same.
assert_almost_equal(Xsq1, Xsq2)
assert_almost_equal(pval1, pval2)
|
|
10,279
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class TestFligner(TestCase):
def test_data(self):
# numbers from R: fligner.test in package stats
x1 = np.arange(5)
assert_array_almost_equal(stats.fligner(x1,x1**2),
(3.2282229927203536, 0.072379187848207877), 11)
def test_trimmed1(self):
# Test that center='trimmed' gives the same result as center='mean'
# when proportiontocut=0.
Xsq1, pval1 = stats.fligner(g1, g2, g3, center='mean')
Xsq2, pval2 = stats.fligner(g1, g2, g3, center='trimmed', proportiontocut=0.0)
assert_almost_equal(Xsq1, Xsq2)
assert_almost_equal(pval1, pval2)
def test_trimmed2(self):
x = [1.2, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 100.0]
y = [0.0, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 200.0]
# Use center='trimmed'
Xsq1, pval1 = stats.fligner(x, y, center='trimmed', proportiontocut=0.125)
# Trim the data here, and use center='mean'
Xsq2, pval2 = stats.fligner(x[1:-1], y[1:-1], center='mean')
# Result should be the same.
assert_almost_equal(Xsq1, Xsq2)
assert_almost_equal(pval1, pval2)
# The following test looks reasonable at first, but fligner() uses the
# function stats.rankdata(), and in one of the cases in this test,
# there are ties, while in the other (because of normal rounding
# errors) there are not. This difference leads to differences in the
# third significant digit of W.
#
#def test_equal_mean_median(self):
# x = np.linspace(-1,1,21)
# y = x**3
# W1, pval1 = stats.fligner(x, y, center='mean')
# W2, pval2 = stats.fligner(x, y, center='median')
# assert_almost_equal(W1, W2)
# assert_almost_equal(pval1, pval2)
def test_bad_keyword(self):
x = np.linspace(-1,1,21)
assert_raises(TypeError, stats.fligner, x, x, portiontocut=0.1)
def test_bad_center_value(self):
x = np.linspace(-1,1,21)
assert_raises(ValueError, stats.fligner, x, x, center='trim')
def test_bad_num_args(self):
# Too few args raises ValueError.
assert_raises(ValueError, stats.fligner, [1])
|
|
10,280
|
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1234}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "randn", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 15}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "randn", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mood", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "z1", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "p1", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mood", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "z2", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "p2", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "z1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "p1", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "z2", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "p2", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_mood_order_of_args", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_mood_order_of_args(self):
# z should change sign when the order of arguments changes, pvalue
# should not change
np.random.seed(1234)
x1 = np.random.randn(10, 1)
x2 = np.random.randn(15, 1)
z1, p1 = stats.mood(x1, x2)
z2, p2 = stats.mood(x2, x1)
assert_array_almost_equal([z1, p1], [-z2, p2])
|
|
10,281
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|
class TestMood(TestCase):
def test_mood(self):
# numbers from R: mood.test in package stats
x1 = np.arange(5)
assert_array_almost_equal(stats.mood(x1, x1**2),
(-1.3830857299399906, 0.16663858066771478), 11)
def test_mood_order_of_args(self):
# z should change sign when the order of arguments changes, pvalue
# should not change
np.random.seed(1234)
x1 = np.random.randn(10, 1)
x2 = np.random.randn(15, 1)
z1, p1 = stats.mood(x1, x2)
z2, p2 = stats.mood(x2, x1)
assert_array_almost_equal([z1, p1], [-z2, p2])
def test_mood_with_axis_none(self):
#Test with axis = None, compare with results from R
x1 = [-0.626453810742332, 0.183643324222082, -0.835628612410047,
1.59528080213779, 0.329507771815361, -0.820468384118015,
0.487429052428485, 0.738324705129217, 0.575781351653492,
-0.305388387156356, 1.51178116845085, 0.389843236411431,
-0.621240580541804, -2.2146998871775, 1.12493091814311,
-0.0449336090152309, -0.0161902630989461, 0.943836210685299,
0.821221195098089, 0.593901321217509]
x2 = [-0.896914546624981, 0.184849184646742, 1.58784533120882,
-1.13037567424629, -0.0802517565509893, 0.132420284381094,
0.707954729271733, -0.23969802417184, 1.98447393665293,
-0.138787012119665, 0.417650750792556, 0.981752777463662,
-0.392695355503813, -1.03966897694891, 1.78222896030858,
-2.31106908460517, 0.878604580921265, 0.035806718015226,
1.01282869212708, 0.432265154539617, 2.09081920524915,
-1.19992581964387, 1.58963820029007, 1.95465164222325,
0.00493777682814261, -2.45170638784613, 0.477237302613617,
-0.596558168631403, 0.792203270299649, 0.289636710177348]
x1 = np.array(x1)
x2 = np.array(x2)
x1.shape = (10, 2)
x2.shape = (15, 2)
assert_array_almost_equal(stats.mood(x1, x2, axis=None),
[-1.31716607555, 0.18778296257])
def test_mood_2d(self):
# Test if the results of mood test in 2-D case are consistent with the
# R result for the same inputs. Numbers from R mood.test().
ny = 5
np.random.seed(1234)
x1 = np.random.randn(10, ny)
x2 = np.random.randn(15, ny)
z_vectest, pval_vectest = stats.mood(x1, x2)
for j in range(ny):
assert_array_almost_equal([z_vectest[j], pval_vectest[j]],
stats.mood(x1[:, j], x2[:, j]))
# inverse order of dimensions
x1 = x1.transpose()
x2 = x2.transpose()
z_vectest, pval_vectest = stats.mood(x1, x2, axis=1)
for i in range(ny):
# check axis handling is self consistent
assert_array_almost_equal([z_vectest[i], pval_vectest[i]],
stats.mood(x1[i, :], x2[i, :]))
def test_mood_3d(self):
shape = (10, 5, 6)
np.random.seed(1234)
x1 = np.random.randn(*shape)
x2 = np.random.randn(*shape)
for axis in range(3):
z_vectest, pval_vectest = stats.mood(x1, x2, axis=axis)
# Tests that result for 3-D arrays is equal to that for the
# same calculation on a set of 1-D arrays taken from the
# 3-D array
axes_idx = ([1, 2], [0, 2], [0, 1]) # the two axes != axis
for i in range(shape[axes_idx[axis][0]]):
for j in range(shape[axes_idx[axis][1]]):
if axis == 0:
slice1 = x1[:, i, j]
slice2 = x2[:, i, j]
elif axis == 1:
slice1 = x1[i, :, j]
slice2 = x2[i, :, j]
else:
slice1 = x1[i, j, :]
slice2 = x2[i, j, :]
assert_array_almost_equal([z_vectest[i, j],
pval_vectest[i, j]],
stats.mood(slice1, slice2))
def test_mood_bad_arg(self):
# Raise ValueError when the sum of the lengths of the args is less than 3
assert_raises(ValueError, stats.mood, [1], [])
|
|
10,282
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"Load", "_fields": {}}, "attr": "mood", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ny", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "range", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "i", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_mood_2d", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_mood_2d(self):
# Test if the results of mood test in 2-D case are consistent with the
# R result for the same inputs. Numbers from R mood.test().
ny = 5
np.random.seed(1234)
x1 = np.random.randn(10, ny)
x2 = np.random.randn(15, ny)
z_vectest, pval_vectest = stats.mood(x1, x2)
for j in range(ny):
assert_array_almost_equal([z_vectest[j], pval_vectest[j]],
stats.mood(x1[:, j], x2[:, j]))
# inverse order of dimensions
x1 = x1.transpose()
x2 = x2.transpose()
z_vectest, pval_vectest = stats.mood(x1, x2, axis=1)
for i in range(ny):
# check axis handling is self consistent
assert_array_almost_equal([z_vectest[i], pval_vectest[i]],
stats.mood(x1[i, :], x2[i, :]))
|
|
10,283
|
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"Constant", "_fields": {"kind": null, "value": 0.035806718015226}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.01282869212708}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.432265154539617}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2.09081920524915}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1.19992581964387}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.58963820029007}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1.95465164222325}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.00493777682814261}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 2.45170638784613}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.477237302613617}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 0.596558168631403}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.792203270299649}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.289636710177348}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "array", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 10}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 15}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "shape", "value": {"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "x2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "mood", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "axis", "value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}]}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1.31716607555}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 0.18778296257}}]}}], "func": {"_type": "Name", "_fields": {"id": "assert_array_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "test_mood_with_axis_none", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_mood_with_axis_none(self):
#Test with axis = None, compare with results from R
x1 = [-0.626453810742332, 0.183643324222082, -0.835628612410047,
1.59528080213779, 0.329507771815361, -0.820468384118015,
0.487429052428485, 0.738324705129217, 0.575781351653492,
-0.305388387156356, 1.51178116845085, 0.389843236411431,
-0.621240580541804, -2.2146998871775, 1.12493091814311,
-0.0449336090152309, -0.0161902630989461, 0.943836210685299,
0.821221195098089, 0.593901321217509]
x2 = [-0.896914546624981, 0.184849184646742, 1.58784533120882,
-1.13037567424629, -0.0802517565509893, 0.132420284381094,
0.707954729271733, -0.23969802417184, 1.98447393665293,
-0.138787012119665, 0.417650750792556, 0.981752777463662,
-0.392695355503813, -1.03966897694891, 1.78222896030858,
-2.31106908460517, 0.878604580921265, 0.035806718015226,
1.01282869212708, 0.432265154539617, 2.09081920524915,
-1.19992581964387, 1.58963820029007, 1.95465164222325,
0.00493777682814261, -2.45170638784613, 0.477237302613617,
-0.596558168631403, 0.792203270299649, 0.289636710177348]
x1 = np.array(x1)
x2 = np.array(x2)
x1.shape = (10, 2)
x2.shape = (15, 2)
assert_array_almost_equal(stats.mood(x1, x2, axis=None),
[-1.31716607555, 0.18778296257])
|
|
10,284
|
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{"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "test_mood_3d", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_mood_3d(self):
shape = (10, 5, 6)
np.random.seed(1234)
x1 = np.random.randn(*shape)
x2 = np.random.randn(*shape)
for axis in range(3):
z_vectest, pval_vectest = stats.mood(x1, x2, axis=axis)
# Tests that result for 3-D arrays is equal to that for the
# same calculation on a set of 1-D arrays taken from the
# 3-D array
axes_idx = ([1, 2], [0, 2], [0, 1]) # the two axes != axis
for i in range(shape[axes_idx[axis][0]]):
for j in range(shape[axes_idx[axis][1]]):
if axis == 0:
slice1 = x1[:, i, j]
slice2 = x2[:, i, j]
elif axis == 1:
slice1 = x1[i, :, j]
slice2 = x2[i, :, j]
else:
slice1 = x1[i, j, :]
slice2 = x2[i, j, :]
assert_array_almost_equal([z_vectest[i, j],
pval_vectest[i, j]],
stats.mood(slice1, slice2))
|
|
10,285
|
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|
def test_basic(self):
np.random.seed(12345)
x = stats.norm.rvs(size=20)
osm, osr = stats.probplot(x, fit=False)
osm_expected = [-1.8241636, -1.38768012, -1.11829229, -0.91222575,
-0.73908135, -0.5857176, -0.44506467, -0.31273668,
-0.18568928, -0.06158146, 0.06158146, 0.18568928,
0.31273668, 0.44506467, 0.5857176, 0.73908135,
0.91222575, 1.11829229, 1.38768012, 1.8241636]
assert_allclose(osr, np.sort(x))
assert_allclose(osm, osm_expected)
res, res_fit = stats.probplot(x, fit=True)
res_fit_expected = [1.05361841, 0.31297795, 0.98741609]
assert_allclose(res_fit, res_fit_expected)
|
|
10,286
|
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"_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "osm3", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osr3", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "osm1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osm2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "osm1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osm3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "osr1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osr2", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "osr1", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osr3", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "probplot", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "sparams", "value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}}}, {"_type": "keyword", "_fields": {"arg": "fit", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "osm", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "osr", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}], "name": "test_sparams_keyword", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_sparams_keyword(self):
np.random.seed(123456)
x = stats.norm.rvs(size=100)
# Check that None, () and 0 (loc=0, for normal distribution) all work
# and give the same results
osm1, osr1 = stats.probplot(x, sparams=None, fit=False)
osm2, osr2 = stats.probplot(x, sparams=0, fit=False)
osm3, osr3 = stats.probplot(x, sparams=(), fit=False)
assert_allclose(osm1, osm2)
assert_allclose(osm1, osm3)
assert_allclose(osr1, osr2)
assert_allclose(osr1, osr3)
# Check giving (loc, scale) params for normal distribution
osm, osr = stats.probplot(x, sparams=(), fit=False)
|
|
10,287
|
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"_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "figure", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 111}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_subplot", "value": {"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ax", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "probplot", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "fit", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "plot", "value": {"_type": "Name", "_fields": {"id": "ax", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_plot_kwarg", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_plot_kwarg(self):
np.random.seed(7654321)
fig = plt.figure()
fig.add_subplot(111)
x = stats.t.rvs(3, size=100)
res1, fitres1 = stats.probplot(x, plot=plt)
plt.close()
res2, fitres2 = stats.probplot(x, plot=None)
res3 = stats.probplot(x, fit=False, plot=plt)
plt.close()
res4 = stats.probplot(x, fit=False, plot=None)
# Check that results are consistent between combinations of `fit` and
# `plot` keywords.
assert_(len(res1) == len(res2) == len(res3) == len(res4) == 2)
assert_allclose(res1, res2)
assert_allclose(res1, res3)
assert_allclose(res1, res4)
assert_allclose(fitres1, fitres2)
# Check that a Matplotlib Axes object is accepted
fig = plt.figure()
ax = fig.add_subplot(111)
stats.probplot(x, fit=False, plot=ax)
plt.close()
|
|
10,288
|
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] | 9
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|
def test_moments_normal_distribution(self):
np.random.seed(32149)
data = np.random.randn(12345)
moments = []
for n in [1, 2, 3, 4]:
moments.append(stats.kstat(data, n))
expected = [0.011315, 1.017931, 0.05811052, 0.0754134]
assert_allclose(moments, expected, rtol=1e-4)
|
|
10,289
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|
class TestKstat(TestCase):
# Note: `kstat` still needs review. Statistics Review issue gh-675.
def test_moments_normal_distribution(self):
np.random.seed(32149)
data = np.random.randn(12345)
moments = []
for n in [1, 2, 3, 4]:
moments.append(stats.kstat(data, n))
expected = [0.011315, 1.017931, 0.05811052, 0.0754134]
assert_allclose(moments, expected, rtol=1e-4)
def test_kstat_bad_arg(self):
# Raise ValueError if n > 4 or n < 1.
data = np.arange(10)
for n in [0, 4.001]:
assert_raises(ValueError, stats.kstat, data, n=n)
|
|
10,290
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] | 9
|
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|
def test_2d_input(self):
# Note: boxcox_llf() was already working with 2-D input (sort of), so
# keep it like that. boxcox() doesn't work with 2-D input though, due
# to brent() returning a scalar.
np.random.seed(54321)
x = stats.norm.rvs(size=100, loc=10)
lmbda = 1
llf = stats.boxcox_llf(lmbda, x)
llf2 = stats.boxcox_llf(lmbda, np.vstack([x, x]).T)
assert_allclose([llf, llf], llf2, rtol=1e-12)
|
|
10,291
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"decorator_list": []}}], "type_ignores": []}}
|
class TestBoxcox_llf(TestCase):
def test_basic(self):
np.random.seed(54321)
x = stats.norm.rvs(size=10000, loc=10)
lmbda = 1
llf = stats.boxcox_llf(lmbda, x)
llf_expected = -x.size / 2. * np.log(np.sum(x.std()**2))
assert_allclose(llf, llf_expected)
def test_array_like(self):
np.random.seed(54321)
x = stats.norm.rvs(size=100, loc=10)
lmbda = 1
llf = stats.boxcox_llf(lmbda, x)
llf2 = stats.boxcox_llf(lmbda, list(x))
assert_allclose(llf, llf2, rtol=1e-12)
def test_2d_input(self):
# Note: boxcox_llf() was already working with 2-D input (sort of), so
# keep it like that. boxcox() doesn't work with 2-D input though, due
# to brent() returning a scalar.
np.random.seed(54321)
x = stats.norm.rvs(size=100, loc=10)
lmbda = 1
llf = stats.boxcox_llf(lmbda, x)
llf2 = stats.boxcox_llf(lmbda, np.vstack([x, x]).T)
assert_allclose([llf, llf], llf2, rtol=1e-12)
def test_empty(self):
assert_(np.isnan(stats.boxcox_llf(1, [])))
|
|
10,292
|
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] | 11
|
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|
class TestBoxcox(TestCase):
def test_fixed_lmbda(self):
np.random.seed(12345)
x = stats.loggamma.rvs(5, size=50) + 5
xt = stats.boxcox(x, lmbda=1)
assert_allclose(xt, x - 1)
xt = stats.boxcox(x, lmbda=-1)
assert_allclose(xt, 1 - 1/x)
xt = stats.boxcox(x, lmbda=0)
assert_allclose(xt, np.log(x))
# Also test that array_like input works
xt = stats.boxcox(list(x), lmbda=0)
assert_allclose(xt, np.log(x))
def test_lmbda_None(self):
np.random.seed(1234567)
# Start from normal rv's, do inverse transform to check that
# optimization function gets close to the right answer.
np.random.seed(1245)
lmbda = 2.5
x = stats.norm.rvs(loc=10, size=50000)
x_inv = (x * lmbda + 1)**(-lmbda)
xt, maxlog = stats.boxcox(x_inv)
assert_almost_equal(maxlog, -1 / lmbda, decimal=2)
def test_alpha(self):
np.random.seed(1234)
x = stats.loggamma.rvs(5, size=50) + 5
# Some regular values for alpha, on a small sample size
_, _, interval = stats.boxcox(x, alpha=0.75)
assert_allclose(interval, [4.004485780226041, 5.138756355035744])
_, _, interval = stats.boxcox(x, alpha=0.05)
assert_allclose(interval, [1.2138178554857557, 8.209033272375663])
# Try some extreme values, see we don't hit the N=500 limit
x = stats.loggamma.rvs(7, size=500) + 15
_, _, interval = stats.boxcox(x, alpha=0.001)
assert_allclose(interval, [0.3988867, 11.40553131])
_, _, interval = stats.boxcox(x, alpha=0.999)
assert_allclose(interval, [5.83316246, 5.83735292])
def test_boxcox_bad_arg(self):
# Raise ValueError if any data value is negative.
x = np.array([-1])
assert_raises(ValueError, stats.boxcox, x)
def test_empty(self):
assert_(stats.boxcox([]).shape == (0,))
|
|
10,293
|
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|
def test_fixed_lmbda(self):
np.random.seed(12345)
x = stats.loggamma.rvs(5, size=50) + 5
xt = stats.boxcox(x, lmbda=1)
assert_allclose(xt, x - 1)
xt = stats.boxcox(x, lmbda=-1)
assert_allclose(xt, 1 - 1/x)
xt = stats.boxcox(x, lmbda=0)
assert_allclose(xt, np.log(x))
# Also test that array_like input works
xt = stats.boxcox(list(x), lmbda=0)
assert_allclose(xt, np.log(x))
|
|
10,294
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|
def test_alpha(self):
np.random.seed(1234)
x = stats.loggamma.rvs(5, size=50) + 5
# Some regular values for alpha, on a small sample size
_, _, interval = stats.boxcox(x, alpha=0.75)
assert_allclose(interval, [4.004485780226041, 5.138756355035744])
_, _, interval = stats.boxcox(x, alpha=0.05)
assert_allclose(interval, [1.2138178554857557, 8.209033272375663])
# Try some extreme values, see we don't hit the N=500 limit
x = stats.loggamma.rvs(7, size=500) + 15
_, _, interval = stats.boxcox(x, alpha=0.001)
assert_allclose(interval, [0.3988867, 11.40553131])
_, _, interval = stats.boxcox(x, alpha=0.999)
assert_allclose(interval, [5.83316246, 5.83735292])
|
|
10,295
|
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|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1234567}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1245}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "seed", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 2.5}}, "targets": [{"_type": "Name", "_fields": {"id": "lmbda", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rvs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "norm", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "loc", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 10}}}}, {"_type": "keyword", "_fields": {"arg": "size", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 50000}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Pow", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "lmbda", "ctx": {"_type": "Load", "_fields": {}}}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "right": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "lmbda", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "x_inv", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x_inv", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "boxcox", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "maxlog", "ctx": {"_type": "Store", "_fields": {}}}}]}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "maxlog", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Div", "_fields": {}}, "left": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "right": {"_type": "Name", "_fields": {"id": "lmbda", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "assert_almost_equal", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "decimal", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 2}}}}]}}}}], "name": "test_lmbda_None", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_lmbda_None(self):
np.random.seed(1234567)
# Start from normal rv's, do inverse transform to check that
# optimization function gets close to the right answer.
np.random.seed(1245)
lmbda = 2.5
x = stats.norm.rvs(loc=10, size=50000)
x_inv = (x * lmbda + 1)**(-lmbda)
xt, maxlog = stats.boxcox(x_inv)
assert_almost_equal(maxlog, -1 / lmbda, decimal=2)
|
|
10,296
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"type_comment": null, "decorator_list": []}}], "name": "TestBoxcoxNormmax", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestBoxcoxNormmax(TestCase):
def setUp(self):
np.random.seed(12345)
self.x = stats.loggamma.rvs(5, size=50) + 5
def test_pearsonr(self):
maxlog = stats.boxcox_normmax(self.x)
assert_allclose(maxlog, 1.804465, rtol=1e-6)
def test_mle(self):
maxlog = stats.boxcox_normmax(self.x, method='mle')
assert_allclose(maxlog, 1.758101, rtol=1e-6)
# Check that boxcox() uses 'mle'
_, maxlog_boxcox = stats.boxcox(self.x)
assert_allclose(maxlog_boxcox, maxlog)
def test_all(self):
maxlog_all = stats.boxcox_normmax(self.x, method='all')
assert_allclose(maxlog_all, [1.804465, 1.758101], rtol=1e-6)
|
|
10,297
|
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"keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestBoxcoxNormplot(TestCase):
def setUp(self):
np.random.seed(7654321)
self.x = stats.loggamma.rvs(5, size=500) + 5
def test_basic(self):
N = 5
lmbdas, ppcc = stats.boxcox_normplot(self.x, -10, 10, N=N)
ppcc_expected = [0.57783375, 0.83610988, 0.97524311, 0.99756057,
0.95843297]
assert_allclose(lmbdas, np.linspace(-10, 10, num=N))
assert_allclose(ppcc, ppcc_expected)
@dec.skipif(not have_matplotlib)
def test_plot_kwarg(self):
# Check with the matplotlib.pyplot module
fig = plt.figure()
fig.add_subplot(111)
stats.boxcox_normplot(self.x, -20, 20, plot=plt)
plt.close()
# Check that a Matplotlib Axes object is accepted
fig.add_subplot(111)
ax = fig.add_subplot(111)
stats.boxcox_normplot(self.x, -20, 20, plot=ax)
plt.close()
def test_invalid_inputs(self):
# `lb` has to be larger than `la`
assert_raises(ValueError, stats.boxcox_normplot, self.x, 1, 0)
# `x` can not contain negative values
assert_raises(ValueError, stats.boxcox_normplot, [-1, 1], 0, 1)
def test_empty(self):
assert_(stats.boxcox_normplot([], 0, 1).size == 0)
|
|
10,298
|
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{"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rtol", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0.0000001}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "circstd", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "high", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 360}}}}]}}, {"_type": "Constant", "_fields": {"kind": null, "value": 6.520702116}}], "func": {"_type": "Name", "_fields": {"id": "assert_allclose", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "rtol", 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[]}}], "name": "TestCircFuncs", "bases": [{"_type": "Name", "_fields": {"id": "TestCase", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class TestCircFuncs(TestCase):
def test_circfuncs(self):
x = np.array([355,5,2,359,10,350])
M = stats.circmean(x, high=360)
Mval = 0.167690146
assert_allclose(M, Mval, rtol=1e-7)
V = stats.circvar(x, high=360)
Vval = 42.51955609
assert_allclose(V, Vval, rtol=1e-7)
S = stats.circstd(x, high=360)
Sval = 6.520702116
assert_allclose(S, Sval, rtol=1e-7)
def test_circfuncs_small(self):
x = np.array([20,21,22,18,19,20.5,19.2])
M1 = x.mean()
M2 = stats.circmean(x, high=360)
assert_allclose(M2, M1, rtol=1e-5)
V1 = x.var()
V2 = stats.circvar(x, high=360)
assert_allclose(V2, V1, rtol=1e-4)
S1 = x.std()
S2 = stats.circstd(x, high=360)
assert_allclose(S2, S1, rtol=1e-4)
def test_circmean_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
M1 = stats.circmean(x, high=360)
M2 = stats.circmean(x.ravel(), high=360)
assert_allclose(M1, M2, rtol=1e-14)
M1 = stats.circmean(x, high=360, axis=1)
M2 = [stats.circmean(x[i], high=360) for i in range(x.shape[0])]
assert_allclose(M1, M2, rtol=1e-14)
M1 = stats.circmean(x, high=360, axis=0)
M2 = [stats.circmean(x[:,i], high=360) for i in range(x.shape[1])]
assert_allclose(M1, M2, rtol=1e-14)
def test_circvar_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
V1 = stats.circvar(x, high=360)
V2 = stats.circvar(x.ravel(), high=360)
assert_allclose(V1, V2, rtol=1e-11)
V1 = stats.circvar(x, high=360, axis=1)
V2 = [stats.circvar(x[i], high=360) for i in range(x.shape[0])]
assert_allclose(V1, V2, rtol=1e-11)
V1 = stats.circvar(x, high=360, axis=0)
V2 = [stats.circvar(x[:,i], high=360) for i in range(x.shape[1])]
assert_allclose(V1, V2, rtol=1e-11)
def test_circstd_axis(self):
x = np.array([[355,5,2,359,10,350],
[351,7,4,352,9,349],
[357,9,8,358,4,356]])
S1 = stats.circstd(x, high=360)
S2 = stats.circstd(x.ravel(), high=360)
assert_allclose(S1, S2, rtol=1e-11)
S1 = stats.circstd(x, high=360, axis=1)
S2 = [stats.circstd(x[i], high=360) for i in range(x.shape[0])]
assert_allclose(S1, S2, rtol=1e-11)
S1 = stats.circstd(x, high=360, axis=0)
S2 = [stats.circstd(x[:,i], high=360) for i in range(x.shape[1])]
assert_allclose(S1, S2, rtol=1e-11)
def test_circfuncs_array_like(self):
x = [355,5,2,359,10,350]
assert_allclose(stats.circmean(x, high=360), 0.167690146, rtol=1e-7)
assert_allclose(stats.circvar(x, high=360), 42.51955609, rtol=1e-7)
assert_allclose(stats.circstd(x, high=360), 6.520702116, rtol=1e-7)
def test_empty(self):
assert_(np.isnan(stats.circmean([])))
assert_(np.isnan(stats.circstd([])))
assert_(np.isnan(stats.circvar([])))
|
|
10,299
|
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] | 7
|
{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "figure", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 111}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_subplot", "value": {"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "x", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 20}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 20}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "boxcox_normplot", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "plot", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 111}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_subplot", "value": {"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 111}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "add_subplot", "value": {"_type": "Name", "_fields": {"id": "fig", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "ax", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "x", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 20}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 20}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "boxcox_normplot", "value": {"_type": "Name", "_fields": {"id": "stats", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "plot", "value": {"_type": "Name", "_fields": {"id": "ax", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "plt", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_plot_kwarg", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_plot_kwarg(self):
# Check with the matplotlib.pyplot module
fig = plt.figure()
fig.add_subplot(111)
stats.boxcox_normplot(self.x, -20, 20, plot=plt)
plt.close()
# Check that a Matplotlib Axes object is accepted
fig.add_subplot(111)
ax = fig.add_subplot(111)
stats.boxcox_normplot(self.x, -20, 20, plot=ax)
plt.close()
|
|
10,300
|
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] | 7
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|
def test_circfuncs(self):
x = np.array([355,5,2,359,10,350])
M = stats.circmean(x, high=360)
Mval = 0.167690146
assert_allclose(M, Mval, rtol=1e-7)
V = stats.circvar(x, high=360)
Vval = 42.51955609
assert_allclose(V, Vval, rtol=1e-7)
S = stats.circstd(x, high=360)
Sval = 6.520702116
assert_allclose(S, Sval, rtol=1e-7)
|