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[], "type_comment": null, "decorator_list": []}}, {"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "self", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "opVal", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "opVal", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "extjspath", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "S_OK", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "setExtJsPath", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Params", "bases": [{"_type": "Name", "_fields": {"id": "object", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Params(object):
def __init__(self):
self.version = False
self.destination = False
self.sourceURL = False
self.name = False
self.vcs = False
self.vcsBranch = False
self.vcsPath = False
self.relNotes = False
self.outRelNotes = False
self.extensionVersion = None
self.extensionSource = None
self.extjspath = None
def isOK(self):
if not self.version:
return S_ERROR("No version defined")
if not self.sourceURL:
return S_ERROR("No Source URL defined")
if not self.name:
return S_ERROR("No name defined")
if self.vcs and self.vcs not in TarModuleCreator.VALID_VCS:
return S_ERROR("Invalid VCS %s" % self.vcs)
return S_OK()
def setVersion(self, opVal):
self.version = opVal
return S_OK()
def setDestination(self, opVal):
self.destination = os.path.realpath(opVal)
return S_OK()
def setSourceURL(self, opVal):
self.sourceURL = opVal
return S_OK()
def setName(self, opVal):
self.name = opVal
return S_OK()
def setVCS(self, opVal):
self.vcs = opVal.lower()
if self.vcs == 'subversion':
self.vcs = 'svn'
elif self.vcs == 'mercurial':
self.vcs = 'hg'
return S_OK()
def setVCSBranch(self, opVal):
self.vcsBranch = opVal
return S_OK()
def setVCSPath(self, opVal):
self.vcsPath = opVal
return S_OK()
def setReleaseNotes(self, opVal):
self.relNotes = opVal
return S_OK()
def setOutReleaseNotes(self, opVal):
self.outRelNotes = True
return S_OK()
def setExtensionVersion(self, opVal):
self.extensionVersion = opVal
return S_OK()
def setExtensionSource(self, opVal):
self.extensionSource = opVal
return S_OK()
def setExtJsPath(self, opVal):
self.extjspath = opVal
return S_OK()
|
|
10,802
|
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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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sourceURL", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expanduser", "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": "sourceURL", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "file"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "vcs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "/"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expanduser", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "git"}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "vcs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ".git"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 4}}}}]}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "vcs", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "vcs", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vcs", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Name", "_fields": {"id": "sourceURL", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}]}}, "orelse": []}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "VALID_VCS", "value": {"_type": "Name", "_fields": {"id": "TarModuleCreator", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "vcs", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}], "name": "__discoverVCS", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __discoverVCS(self):
sourceURL = self.params.sourceURL
if os.path.expanduser(sourceURL).find("/") == 0:
sourceURL = os.path.expanduser(sourceURL)
self.params.vcs = "file"
return True
if sourceURL.find(".git") == len(sourceURL) - 4:
self.params.vcs = "git"
return True
for vcs in TarModuleCreator.VALID_VCS:
if sourceURL.find(vcs) == 0:
self.params.vcs = vcs
return True
return False
|
|
10,803
|
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"value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "po2", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Name", "_fields": {"id": "po2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "returncode", "value": {"_type": "Name", "_fields": {"id": "po2", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "strip", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": 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"_fields": {}}, "attr": "replace", "value": {"_type": "Name", "_fields": {"id": "fileContents", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "fileContents", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Gt", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "foundKeyWord", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}]}}, "orelse": []}}], "iter": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "$Id$"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "--pretty=\"%h (%ad) %an <%aE>\" --date=iso"}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "$SHA1$"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "--pretty=\"%H\""}}]}}]}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "keyWord", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "cmdArgs", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fileContents", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "objPath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "w"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": ".py"}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fileName", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "find", "value": {"_type": "Name", "_fields": {"id": "fileName", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "comparators": [{"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fileName", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 3}}}}]}}, "orelse": []}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "objPath", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "isfile", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": []}}]}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dirToDo", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "listdir", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "fileName", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "replaceKeywordsWithGit", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def replaceKeywordsWithGit(cls, dirToDo):
for fileName in os.listdir(dirToDo):
objPath = os.path.join(dirToDo, fileName)
if os.path.isdir(objPath):
TarModuleCreator.replaceKeywordsWithGit(objPath)
elif os.path.isfile(objPath):
if fileName.find('.py', len(fileName) - 3) == len(fileName) - 3:
with open(objPath, "r") as fd:
fileContents = fd.read()
for keyWord, cmdArgs in (('$Id$', '--pretty="%h (%ad) %an <%aE>" --date=iso'),
('$SHA1$', '--pretty="%H"')):
foundKeyWord = fileContents.find(keyWord)
if foundKeyWord > -1:
po2 = subprocess.Popen("git log -n 1 %s '%s' 2>/dev/null" % (cmdArgs, fileName),
stdout=subprocess.PIPE, cwd=dirToDo, shell=True)
po2.wait()
if po2.returncode:
continue
toReplace = po2.stdout.read().strip()
toReplace = "".join(i for i in toReplace if ord(i) < 128)
fileContents = fileContents.replace(keyWord, toReplace)
with open(objPath, "w") as fd:
fd.write(fileContents)
|
|
10,804
|
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"foundKey", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "keyDict", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "foundKey", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "lastKey", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Name", "_fields": {"id": "foundKey", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [{"_type": "If", "_fields": {"body": [{"_type": "AugAssign", "_fields": {"op": {"_type": "Add", "_fields": {}}, "value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": " %s"}}, "right": {"_type": "Name", "_fields": {"id": "line", "ctx": {"_type": "Load", "_fields": {}}}}}}, "target": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "lastKey", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Name", "_fields": {"id": "keyDict", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "test": {"_type": "Name", "_fields": {"id": "lastKey", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}]}}], "iter": {"_type": "Name", "_fields": {"id": "releaseContents", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "rawLine", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "relData", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "S_OK", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__loadReleaseNotesFile", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __loadReleaseNotesFile(self):
if not self.params.relNotes:
relNotes = os.path.join(self.params.destination, self.params.name, "release.notes")
else:
relNotes = self.params.relNotes
if not os.path.isfile(relNotes):
return S_OK("")
try:
with open(relNotes, "r") as fd:
releaseContents = fd.readlines()
except Exception as excp:
return S_ERROR("Could not open %s: %s" % (relNotes, excp))
gLogger.info("Loaded %s" % relNotes)
relData = []
version = False
feature = False
lastKey = False
for rawLine in releaseContents:
line = rawLine.strip()
if not line:
continue
if line[0] == "[" and line[-1] == "]":
version = line[1:-1].strip()
relData.append((version, {'comment': [], 'features': []}))
feature = False
lastKey = False
continue
if line[0] == "*":
feature = line[1:].strip()
relData[-1][1]['features'].append([feature, {}])
lastKey = False
continue
if not feature:
relData[-1][1]['comment'].append(rawLine)
continue
keyDict = relData[-1][1]['features'][-1][1]
foundKey = False
for key in ('BUGFIX', 'BUG', 'FIX', "CHANGE", "NEW", "FEATURE"):
if line.find("%s:" % key) == 0:
line = line[len(key) + 2:].strip()
elif line.find("%s " % key) == 0:
line = line[len(key) + 1:].strip()
else:
continue
foundKey = key
break
if foundKey in ('BUGFIX', 'BUG', 'FIX'):
foundKey = 'BUGFIX'
elif foundKey in ('NEW', 'FEATURE'):
foundKey = 'FEATURE'
if foundKey:
if foundKey not in keyDict:
keyDict[foundKey] = []
keyDict[foundKey].append(line)
lastKey = foundKey
elif lastKey:
keyDict[lastKey][-1] += " %s" % line
return S_OK(relData)
|
|
10,805
|
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{"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "comment"}}, "value": {"_type": "Name", "_fields": {"id": "verData", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Name", "_fields": {"id": "featureData", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "feature", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "rstData", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": 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[{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rstData", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "\n"}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "write", "value": {"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "rstFilePath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "w"}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "fd", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Could not write %s: %s"}}, "right": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "rstFileName", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "excp", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "func": {"_type": "Name", "_fields": {"id": "S_ERROR", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "excp", "type": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "S_OK", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "__generateRSTFile", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __generateRSTFile(self, releaseData, rstFileName, pkgVersion, singleVersion):
rstData = []
parsedPkgVersion = Distribution.parseVersionString(pkgVersion)
for version, verData in releaseData:
if singleVersion and version != pkgVersion:
continue
if Distribution.parseVersionString(version) > parsedPkgVersion:
continue
versionLine = "Version %s" % version
rstData.append("")
rstData.append("=" * len(versionLine))
rstData.append(versionLine)
rstData.append("=" * len(versionLine))
rstData.append("")
if verData['comment']:
rstData.append("\n".join(verData['comment']))
rstData.append("")
for feature, featureData in verData['features']:
if not featureData:
continue
rstData.append(feature)
rstData.append("=" * len(feature))
rstData.append("")
for key in sorted(featureData):
rstData.append(key.capitalize())
rstData.append(":" * (len(key) + 5))
rstData.append("")
for entry in featureData[key]:
rstData.append(" - %s" % entry)
rstData.append("")
# Write releasenotes.rst
try:
rstFilePath = os.path.join(self.params.destination, self.params.name, rstFileName)
with open(rstFilePath, "w") as fd:
fd.write("\n".join(rstData))
except Exception as excp:
return S_ERROR("Could not write %s: %s" % (rstFileName, excp))
return S_OK()
|
|
10,806
|
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def __generateReleaseNotes(self):
result = self.__loadReleaseNotesFile()
if not result['OK']:
return result
releaseData = result['Value']
if not releaseData:
gLogger.info("release.notes not found. Trying to find releasenotes.rst")
for rstFileName in ("releasenotes.rst", "releasehistory.rst"):
result = self.__compileReleaseNotes(rstFileName)
if result['OK']:
gLogger.notice("Compiled %s file!" % rstFileName)
else:
gLogger.warn(result['Message'])
return S_OK()
gLogger.info("Loaded release.notes")
for rstFileName, singleVersion in (("releasenotes.rst", True),
("releasehistory.rst", False)):
result = self.__generateRSTFile(releaseData, rstFileName, self.params.version,
singleVersion)
if not result['OK']:
gLogger.error("Could not generate %s: %s" % (rstFileName, result['Message']))
continue
result = self.__compileReleaseNotes(rstFileName)
if not result['OK']:
gLogger.error("Could not compile %s: %s" % (rstFileName, result['Message']))
continue
gLogger.notice("Compiled %s file!" % rstFileName)
return S_OK()
|
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10,807
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|
def __generateTarball(self):
destDir = self.params.destination
tarName = "%s-%s.tar.gz" % (self.params.name, self.params.version)
tarfilePath = os.path.join(destDir, tarName)
dirToTar = os.path.join(self.params.destination, self.params.name)
if self.params.name in os.listdir(dirToTar):
dirToTar = os.path.join(dirToTar, self.params.name)
result = Distribution.writeVersionToInit(dirToTar, self.params.version)
if not result['OK']:
return result
result = Distribution.createTarball(tarfilePath, dirToTar)
if not result['OK']:
return S_ERROR("Could not generate tarball: %s" % result['Error'])
# Remove package dir
shutil.rmtree(dirToTar)
gLogger.info("Tar file %s created" % tarName)
return S_OK(tarfilePath)
|
|
10,808
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "extensionSource", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__compileWebApp", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "retVal", "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": null, "value": "Web is not compiled: %s"}}, "right": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "Message"}}, "value": {"_type": "Name", "_fields": {"id": "retVal", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "gLogger", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "OK"}}, "value": {"_type": "Name", "_fields": {"id": "retVal", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "In", "_fields": {}}], "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Web"}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": "Web"}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__generateTarball", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "create", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def create(self):
if not isinstance(self.params, TarModuleCreator.Params):
return S_ERROR("Argument is not a TarModuleCreator.Params object ")
result = self.params.isOK()
if not result['OK']:
return result
result = self.__checkDestination()
if not result['OK']:
return result
result = self.__checkoutSource()
if not result['OK']:
return result
shutil.rmtree("%s/docs" % self.params.destination, ignore_errors=True)
result = self.__generateReleaseNotes()
if not result['OK']:
gLogger.error("Won't generate release notes: %s" % result['Message'])
if 'Web' in self.params.name and self.params.name != 'Web':
# if we have an extension, we have to download, because it will be
# required to compile the code
if self.params.extensionVersion and self.params.extensionSource:
# if extensionSource is not provided, the default one is used. self.params.soureURL....
result = self.__checkoutSource("WebAppDIRAC", self.params.extensionSource, self.params.extensionVersion)
if not result['OK']:
return result
retVal = self.__compileWebApp()
if not retVal['OK']: # it can fail, if we do not have sencha cmd and extjs farmework installed
gLogger.warn('Web is not compiled: %s' % retVal['Message'])
return self.__generateTarball()
|
|
10,809
|
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-0.039481617510318756
] | 10
|
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{"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "current_response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "current_response", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "current_response", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "current_response", "ctx": {"_type": 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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_max_items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "truncate_amount", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_max_items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": 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"Load", "_fields": {}}, "attr": "_max_items", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "The same next token was received twice: %s"}}, "right": {"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "PaginationError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "message", "value": {"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "cause": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "previous_next_token", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "previous_next_token", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "current_kwargs", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_inject_token_into_kwargs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Name", "_fields": {"id": "previous_next_token", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}]}}], "test": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "orelse": []}}], "name": "__iter__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __iter__(self):
current_kwargs = self._op_kwargs
previous_next_token = None
next_token = [None for _ in range(len(self._input_token))]
# The number of items from result_key we've seen so far.
total_items = 0
first_request = True
primary_result_key = self.result_keys[0]
starting_truncation = 0
self._inject_starting_params(current_kwargs)
while True:
response = self._make_request(current_kwargs)
parsed = self._extract_parsed_response(response)
if first_request:
# The first request is handled differently. We could
# possibly have a resume/starting token that tells us where
# to index into the retrieved page.
if self._starting_token is not None:
starting_truncation = self._handle_first_request(
parsed, primary_result_key, starting_truncation)
first_request = False
self._record_non_aggregate_key_values(parsed)
current_response = primary_result_key.search(parsed)
if current_response is None:
current_response = []
num_current_response = len(current_response)
truncate_amount = 0
if self._max_items is not None:
truncate_amount = (total_items + num_current_response) \
- self._max_items
if truncate_amount > 0:
self._truncate_response(parsed, primary_result_key,
truncate_amount, starting_truncation,
next_token)
yield response
break
else:
yield response
total_items += num_current_response
next_token = self._get_next_token(parsed)
if all(t is None for t in next_token):
break
if self._max_items is not None and \
total_items == self._max_items:
# We're on a page boundary so we can set the current
# next token to be the resume token.
self.resume_token = next_token
break
if previous_next_token is not None and \
previous_next_token == next_token:
message = ("The same next token was received "
"twice: %s" % next_token)
raise PaginationError(message=message)
self._inject_token_into_kwargs(current_kwargs, next_token)
previous_next_token = next_token
|
|
10,810
|
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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": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No version defined"}}], "func": {"_type": "Name", "_fields": {"id": "S_ERROR", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "version", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No Source URL defined"}}], "func": {"_type": "Name", "_fields": {"id": "S_ERROR", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "sourceURL", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "No name defined"}}], "func": {"_type": "Name", "_fields": {"id": "S_ERROR", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Invalid VCS %s"}}, "right": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vcs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "S_ERROR", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vcs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "vcs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "VALID_VCS", "value": {"_type": "Name", "_fields": {"id": "TarModuleCreator", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "S_OK", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "isOK", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def isOK(self):
if not self.version:
return S_ERROR("No version defined")
if not self.sourceURL:
return S_ERROR("No Source URL defined")
if not self.name:
return S_ERROR("No name defined")
if self.vcs and self.vcs not in TarModuleCreator.VALID_VCS:
return S_ERROR("Invalid VCS %s" % self.vcs)
return S_OK()
|
|
10,811
|
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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": "response", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Name", "_fields": {"id": "non_aggregate_keys", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "expression", "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": "non_aggregate_keys", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expression", "value": {"_type": "Name", "_fields": {"id": "expression", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set_value_from_jmespath", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_non_aggregate_key_exprs", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "expression", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "non_aggregate_keys", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_non_aggregate_part", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "_record_non_aggregate_key_values", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _record_non_aggregate_key_values(self, response):
non_aggregate_keys = {}
for expression in self._non_aggregate_key_exprs:
result = expression.search(response)
set_value_from_jmespath(non_aggregate_keys,
expression.expression,
result)
self._non_aggregate_part = non_aggregate_keys
|
|
10,812
|
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] | 9
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|
def _inject_starting_params(self, op_kwargs):
# If the user has specified a starting token we need to
# inject that into the operation's kwargs.
if self._starting_token is not None:
# Don't need to do anything special if there is no starting
# token specified.
next_token = self._parse_starting_token()[0]
self._inject_token_into_kwargs(op_kwargs, next_token)
if self._page_size is not None:
# Pass the page size as the parameter name for limiting
# page size, also known as the limit_key.
op_kwargs[self._limit_key] = self._page_size
|
|
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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": "parsed", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "primary_result_key", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "truncate_amount", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "starting_truncation", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "next_token", "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": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "original", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "original", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "original", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Sub", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "original", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "len", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "right": {"_type": "Name", "_fields": {"id": "truncate_amount", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "amount_to_keep", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": null, "upper": {"_type": "Name", "_fields": {"id": "amount_to_keep", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "original", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "truncated", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expression", "value": {"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "truncated", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "set_value_from_jmespath", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "amount_to_keep", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Name", "_fields": {"id": "starting_truncation", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "str", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "resume_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "_truncate_response", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _truncate_response(self, parsed, primary_result_key, truncate_amount,
starting_truncation, next_token):
original = primary_result_key.search(parsed)
if original is None:
original = []
amount_to_keep = len(original) - truncate_amount
truncated = original[:amount_to_keep]
set_value_from_jmespath(
parsed,
primary_result_key.expression,
truncated
)
# The issue here is that even though we know how much we've truncated
# we need to account for this globally including any starting
# left truncation. For example:
# Raw response: [0,1,2,3]
# Starting index: 1
# Max items: 1
# Starting left truncation: [1, 2, 3]
# End right truncation for max items: [1]
# However, even though we only kept 1, this is post
# left truncation so the next starting index should be 2, not 1
# (left_truncation + amount_to_keep).
next_token.append(str(amount_to_keep + starting_truncation))
self.resume_token = next_token
|
|
10,814
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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": "parsed", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "primary_result_key", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "starting_truncation", "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": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_parse_starting_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "targets": [{"_type": "Name", "_fields": {"id": "starting_truncation", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "all_data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expression", "value": {"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Name", "_fields": {"id": "starting_truncation", "ctx": {"_type": "Load", "_fields": {}}}}, "upper": null}}, "value": {"_type": "Name", "_fields": {"id": "all_data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set_value_from_jmespath", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "For", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Continue", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "primary_result_key", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "expression", "value": {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}], "func": {"_type": "Name", "_fields": {"id": "set_value_from_jmespath", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "result_keys", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "starting_truncation", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_handle_first_request", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _handle_first_request(self, parsed, primary_result_key,
starting_truncation):
# First we need to slice into the array and only return
# the truncated amount.
starting_truncation = self._parse_starting_token()[1]
all_data = primary_result_key.search(parsed)
set_value_from_jmespath(
parsed,
primary_result_key.expression,
all_data[starting_truncation:]
)
# We also need to truncate any secondary result keys
# because they were not truncated in the previous last
# response.
for token in self.result_keys:
if token == primary_result_key:
continue
set_value_from_jmespath(parsed, token.expression, [])
return starting_truncation
|
|
10,815
|
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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": "parsed", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_more_results", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, "orelse": []}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_more_results", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "next_tokens", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "parsed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "append", "value": {"_type": "Name", "_fields": {"id": "next_tokens", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_output_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "token", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "next_tokens", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_get_next_token", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_next_token(self, parsed):
if self._more_results is not None:
if not self._more_results.search(parsed):
return [None]
next_tokens = []
for token in self._output_token:
next_tokens.append(token.search(parsed))
return next_tokens
|
|
10,816
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"_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "_", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "complete_result", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "non_aggregate_part", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "merge_dicts", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "resume_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "NextToken"}}, "value": {"_type": "Name", "_fields": {"id": "complete_result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "resume_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "complete_result", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "build_full_result", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def build_full_result(self):
complete_result = {}
# Prepopulate the result keys with an empty list.
for result_expression in self.result_keys:
set_value_from_jmespath(complete_result,
result_expression.expression, [])
for _, page in self:
# We're incrementally building the full response page
# by page. For each page in the response we need to
# inject the necessary components from the page
# into the complete_result.
for result_expression in self.result_keys:
# In order to incrementally update a result key
# we need to search the existing value from complete_result,
# then we need to search the _current_ page for the
# current result key value. Then we append the current
# value onto the existing value, and re-set that value
# as the new value.
existing_value = result_expression.search(complete_result)
result_value = result_expression.search(page)
if result_value is not None:
existing_value.extend(result_value)
merge_dicts(complete_result, self.non_aggregate_part)
if self.resume_token is not None:
complete_result['NextToken'] = self.resume_token
return complete_result
|
|
10,817
|
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] | 7
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|
def __init__(self, method, pagination_config):
self._method = method
self._pagination_cfg = pagination_config
self._output_token = self._get_output_tokens(self._pagination_cfg)
self._input_token = self._get_input_tokens(self._pagination_cfg)
self._more_results = self._get_more_results_token(self._pagination_cfg)
self._non_aggregate_keys = self._get_non_aggregate_keys(
self._pagination_cfg)
self._result_keys = self._get_result_keys(self._pagination_cfg)
self._limit_key = self._get_limit_key(self._pagination_cfg)
|
|
10,818
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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": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_starting_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "___"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "split", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_starting_token", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "parts", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "next_token", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "targets": [{"_type": "Name", "_fields": {"id": "index", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "If", "_fields": {"body": 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|
def _parse_starting_token(self):
if self._starting_token is None:
return None
parts = self._starting_token.split('___')
next_token = []
index = 0
if len(parts) == len(self._input_token) + 1:
try:
index = int(parts.pop())
except ValueError:
raise ValueError("Bad starting token: %s" %
self._starting_token)
for part in parts:
if part == 'None':
next_token.append(None)
else:
next_token.append(part)
return next_token, index
|
|
10,819
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|
def _extract_paging_params(self, kwargs):
max_items = kwargs.pop('max_items', None)
if max_items is not None:
max_items = int(max_items)
page_size = kwargs.pop('page_size', None)
if page_size is not None:
page_size = int(page_size)
return {
'max_items': max_items,
'starting_token': kwargs.pop('starting_token', None),
'page_size': page_size,
}
|
|
10,820
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|
def _get_output_tokens(self, config):
output = []
output_token = config['output_token']
if not isinstance(output_token, list):
output_token = [output_token]
for config in output_token:
output.append(jmespath.compile(config))
return output
|
|
10,821
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": null}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rel", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "field", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "symmetrical"}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}], "func": {"_type": "Name", "_fields": {"id": "getattr", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "model", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "parent_model", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "related_name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rel", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "field", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object_name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "opts", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": "_set"}}}}]}}}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "multiple", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rel", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "field", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": [{"_type": "Return", "_fields": {"value": {"_type": "BoolOp", "_fields": {"op": {"_type": "Or", "_fields": {}}, "values": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "related_name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rel", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "field", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "lower", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object_name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "opts", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}]}}}}]}}], "name": "get_accessor_name", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_accessor_name(self):
# This method encapsulates the logic that decides what name to give an
# accessor descriptor that retrieves related many-to-one or
# many-to-many objects. It uses the lower-cased object_name + "_set",
# but this can be overridden with the "related_name" option.
if self.field.rel.multiple:
# If this is a symmetrical m2m relation on self, there is no reverse accessor.
if getattr(self.field.rel, 'symmetrical', False) and self.model == self.parent_model:
return None
return self.field.rel.related_name or (self.opts.object_name.lower() + '_set')
else:
return self.field.rel.related_name or (self.opts.object_name.lower())
|
|
10,822
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"current_kwargs", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "_make_request", "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}}, {"_type": "arg", "_fields": {"arg": "response", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Return", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, "value": {"_type": "Name", "_fields": {"id": "response", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "_extract_parsed_response", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": 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|
class DeprecatedPageIterator(PageIterator):
def __init__(self, operation, endpoint, input_token,
output_token, more_results,
result_keys, non_aggregate_keys, limit_key, max_items,
starting_token, page_size, op_kwargs):
super(DeprecatedPageIterator, self).__init__(
None, input_token, output_token, more_results, result_keys,
non_aggregate_keys, limit_key, max_items,
starting_token, page_size, op_kwargs)
self._operation = operation
self._endpoint = endpoint
def _make_request(self, current_kwargs):
return self._operation.call(self._endpoint, **current_kwargs)
def _extract_parsed_response(self, response):
return response[1]
|
|
10,823
|
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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": "cr", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "uid", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "args", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "operator", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "context", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "limit", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": ""}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ilike"}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": 100}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": []}}, "targets": [{"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "|"}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "code"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ilike"}}, {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": "name"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ilike"}}, {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "right": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "search", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "limit", "value": {"_type": "Name", "_fields": {"id": "limit", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "context", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "ids", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cr", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "uid", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ids", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "name_get", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "context", "value": {"_type": "Name", "_fields": {"id": "context", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "name": "name_search", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def name_search(
self, cr, uid, name='', args=None, operator='ilike',
context=None, limit=100):
if args is None:
args = []
ids = self.search(
cr, uid,
['|', ('code', 'ilike', name), ('name', 'ilike', name)] + args,
limit=limit, context=context
)
return self.name_get(cr, uid, ids, context=context)
|
|
10,824
|
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|
class TestCnosBgpModule(TestCnosModule):
module = cnos_bgp
def setUp(self):
super(TestCnosBgpModule, self).setUp()
self.mock_run_cnos_commands = patch('ansible.module_utils.network.cnos.cnos.run_cnos_commands')
self.run_cnos_commands = self.mock_run_cnos_commands.start()
def tearDown(self):
super(TestCnosBgpModule, self).tearDown()
self.mock_run_cnos_commands.stop()
def load_fixtures(self, commands=None, transport='cli'):
self.run_cnos_commands.return_value = [load_fixture('cnos_bgp_config.cfg')]
def test_bgp_neighbor(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'neighbor', 'bgpArg2': '10.241.107.40',
'bgpArg3': '13', 'bgpArg4': 'address-family',
'bgpArg5': 'ipv4', 'bgpArg6': 'next-hop-self'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_dampening(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'address-family', 'bgpArg2': 'ipv4',
'bgpArg3': 'dampening', 'bgpArg4': '13',
'bgpArg5': '233', 'bgpArg6': '333',
'bgpArg7': '15', 'bgpArg8': '33'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_network(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'address-family', 'bgpArg2': 'ipv4',
'bgpArg3': 'network', 'bgpArg4': '1.2.3.4/5',
'bgpArg5': 'backdoor'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_clusterid(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'cluster-id', 'bgpArg2': '10.241.107.40'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_graceful_restart(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'graceful-restart', 'bgpArg2': '333'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_routerid(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'router-id', 'bgpArg2': '1.2.3.4'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
def test_cnos_bgp_vrf(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'vrf'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,825
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg3"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg5"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg6"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg7"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg8"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "address-family"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ipv4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "dampening"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "13"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "233"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "333"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "15"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_dampening", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_dampening(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'address-family', 'bgpArg2': 'ipv4',
'bgpArg3': 'dampening', 'bgpArg4': '13',
'bgpArg5': '233', 'bgpArg6': '333',
'bgpArg7': '15', 'bgpArg8': '33'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,826
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg3"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg5"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg6"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "neighbor"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.40"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "13"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "address-family"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ipv4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "next-hop-self"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_bgp_neighbor", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_bgp_neighbor(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'neighbor', 'bgpArg2': '10.241.107.40',
'bgpArg3': '13', 'bgpArg4': 'address-family',
'bgpArg5': 'ipv4', 'bgpArg6': 'next-hop-self'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,827
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "cluster-id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.40"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_clusterid", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_clusterid(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'cluster-id', 'bgpArg2': '10.241.107.40'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,828
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg3"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg5"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "address-family"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "ipv4"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "network"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1.2.3.4/5"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "backdoor"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_network", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_network(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'address-family', 'bgpArg2': 'ipv4',
'bgpArg3': 'network', 'bgpArg4': '1.2.3.4/5',
'bgpArg5': 'backdoor'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,829
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "graceful-restart"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "333"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_graceful_restart", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_graceful_restart(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'graceful-restart', 'bgpArg2': '333'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,830
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg2"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "router-id"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "1.2.3.4"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_routerid", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_routerid(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'router-id', 'bgpArg2': '1.2.3.4'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,831
|
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Dict", "_fields": {"keys": [{"_type": "Constant", "_fields": {"kind": null, "value": "username"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "password"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "host"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "deviceType"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "outputfile"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "asNum"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "bgpArg1"}}], "values": [{"_type": "Constant", "_fields": {"kind": null, "value": "admin"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "pass"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "10.241.107.39"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "g8272_cnos"}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "test_log", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "33"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "vrf"}}]}}], "func": {"_type": "Name", "_fields": {"id": "set_module_args", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "execute_module", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "changed", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "BGP configurations accomplished"}}, "targets": [{"_type": "Name", "_fields": {"id": "expected_result", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "msg"}}, "value": {"_type": "Name", "_fields": {"id": "result", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "expected_result", "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": []}}}}], "name": "test_cnos_bgp_vrf", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_cnos_bgp_vrf(self):
set_module_args({'username': 'admin', 'password': 'pass',
'host': '10.241.107.39', 'deviceType': 'g8272_cnos',
'outputfile': self.test_log, 'asNum': '33',
'bgpArg1': 'vrf'})
result = self.execute_module(changed=True)
expected_result = 'BGP configurations accomplished'
self.assertEqual(result['msg'], expected_result)
|
|
10,832
|
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null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " versus "}}, {"_type": "FormattedValue", "_fields": {"value": {"_type": "Name", "_fields": {"id": "geom_size", "ctx": {"_type": "Load", "_fields": {}}}}, "conversion": -1, "format_spec": null}}]}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "geom_size", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Name", "_fields": {"id": "data_size", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data_geo_dims", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "enumerate", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "dim_offset", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "dim_name", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "_verify_data_geo_dims", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _verify_data_geo_dims(self, data, src_geo_dims):
# verify that source dims are the same between geo and data
data_geo_dims = tuple(d for d in data.dims if d in src_geo_dims)
if data_geo_dims != src_geo_dims:
raise ValueError("Data dimensions do not match source area dimensions.")
# verify that the dims are next to each other
first_dim_idx = data.dims.index(src_geo_dims[0])
num_dims = len(src_geo_dims)
if data.dims[first_dim_idx:first_dim_idx + num_dims] != data_geo_dims:
raise ValueError("Data's geolocation dimensions are not consecutive.")
# verify that the dims are the same between src geom and data
for dim_offset, dim_name in enumerate(data_geo_dims):
geom_size = self.source_geo_def.shape[dim_offset]
data_size = data.shape[first_dim_idx + dim_offset]
if geom_size != data_size:
raise ValueError("Input data shape is not equal to the shape of "
"the source geometry: "
f"{dim_name}={data_size} versus {geom_size}")
|
|
10,833
|
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Input array is not 2D and can't be automatically converted."}}]}}], "func": {"_type": "Name", "_fields": {"id": "ValueError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotEq", "_fields": {}}], "left": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ndim", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": 2}}]}}, "orelse": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "DataArray", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "dims", "value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_get_src_geo_dims", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "DataArray", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "JoinedStr", "_fields": {"values": [{"_type": "FormattedValue", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__name__", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__class__", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "conversion": -1, "format_spec": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": " uses a dask-based implementation, but a pure numpy array was provided. Data will be converted to dask arrays for computation and then converted back. To avoid this warning convert your numpy array before providing it to the resampler."}}]}}, {"_type": "Name", "_fields": {"id": "PerformanceWarning", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "warn", "value": {"_type": "Name", "_fields": {"id": "warnings", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "copy", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "from_array", "value": {"_type": "Name", "_fields": {"id": "da", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "chunks", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "auto"}}}}]}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Array", "value": {"_type": "Name", "_fields": {"id": "da", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "_verify_input_object_type", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _verify_input_object_type(self, data):
if isinstance(data, DataArray) and isinstance(data.data, da.Array):
return data
if not isinstance(data, DataArray):
if data.ndim != 2:
raise ValueError(
f"{self.__class__.__name__} requires DataArrays with a dask "
"array. Input array is not 2D and can't be automatically "
"converted.")
data = DataArray(data, dims=self._get_src_geo_dims())
if not isinstance(data.data, da.Array):
warnings.warn(
f"{self.__class__.__name__} uses a dask-based implementation, "
"but a pure numpy array was provided. Data will be converted "
"to dask arrays for computation and then converted back. To "
"avoid this warning convert your numpy array before providing "
"it to the resampler.", PerformanceWarning)
data = data.copy()
data.data = da.from_array(data.data, chunks="auto")
return data
|
|
10,834
|
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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": "data", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "orig_data", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "orig_data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "DataArray", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "orig_data", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Array", "value": {"_type": "Name", "_fields": {"id": "da", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "data", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "orig_data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "DataArray", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "orig_data", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Array", "value": {"_type": "Name", "_fields": {"id": "da", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute", "value": {"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_verify_result_object_type", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _verify_result_object_type(self, data, orig_data):
if isinstance(orig_data, DataArray) and isinstance(orig_data.data, da.Array):
return data
if not isinstance(orig_data, DataArray):
data = data.data
if isinstance(orig_data, da.Array):
return data
return data.compute()
|
|
10,835
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "Params", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_paramMap", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Dict", "_fields": {"keys": [], "values": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "_defaultParamMap", "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": "_params", "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": "_copy_params", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __init__(self):
super(Params, self).__init__()
#: internal param map for user-supplied values param map
self._paramMap = {}
#: internal param map for default values
self._defaultParamMap = {}
#: value returned by :py:func:`params`
self._params = None
# Copy the params from the class to the object
self._copy_params()
|
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10,836
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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": "mask_area", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "data", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "mask_area", "ctx": {"_type": "Load", "_fields": {}}}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mask_area", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ndarray", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Array", "value": {"_type": "Name", "_fields": {"id": "da", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "DataArray", "ctx": {"_type": "Load", "_fields": {}}}}]}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}, "targets": [{"_type": "Name", "_fields": {"id": "mask_area", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "BoolOp", "_fields": {"op": {"_type": "And", "_fields": {}}, "values": [{"_type": "Compare", "_fields": {"ops": [{"_type": "Is", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "mask_area", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "source_geo_def", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "SwathDefinition", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "isinstance", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "compute_data_mask", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Name", "_fields": {"id": "mask_area", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": []}}], "name": "_get_area_mask", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _get_area_mask(self, mask_area, data):
if isinstance(mask_area, (np.ndarray, da.Array, DataArray)):
return mask_area
# default is to mask areas for SwathDefinitions
if mask_area is None and isinstance(self.source_geo_def, SwathDefinition):
mask_area = True
if mask_area:
return self.compute_data_mask(data)
|
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10,837
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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": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "setUp", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "HelpersTest", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "VlanTypeDriver", "value": {"_type": "Name", "_fields": {"id": "type_vlan", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Name", "_fields": {"id": "NETWORK_VLAN_RANGES", "ctx": {"_type": "Load", "_fields": {}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "network_vlan_ranges", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "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": "_sync_vlan_allocations", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_session", "value": {"_type": "Name", "_fields": {"id": "db", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "FakeLogger", "value": {"_type": "Name", "_fields": {"id": "fixtures", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "name", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__name__", "value": {"_type": "Name", "_fields": {"id": "helpers", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "format", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOG_FORMAT", "value": {"_type": "Name", "_fields": {"id": "base", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "level", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DEBUG", "value": {"_type": "Name", "_fields": {"id": "std_logging", "ctx": {"_type": "Load", "_fields": {}}}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "useFixture", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "setUp", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def setUp(self):
super(HelpersTest, self).setUp()
self.driver = type_vlan.VlanTypeDriver()
self.driver.network_vlan_ranges = NETWORK_VLAN_RANGES
self.driver._sync_vlan_allocations()
self.session = db.get_session()
self.useFixture(
fixtures.FakeLogger(
name=helpers.__name__,
format=base.LOG_FORMAT,
level=std_logging.DEBUG
))
|
|
10,838
|
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"Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_allocate_specific_allocated_segment_outside_pools", "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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Name", "_fields": {"id": "TENANT_NET", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "vlan_id", "value": {"_type": "Name", "_fields": {"id": "VLAN_MIN", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_fully_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "check_raw_segment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "model", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "save"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_allocate_specific_finally_unallocated_segment_outside_pools", "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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Name", "_fields": {"id": "TENANT_NET", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "check_raw_segment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_allocate_partial_segment_without_filters", "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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Name", "_fields": {"id": "TENANT_NET", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "check_raw_segment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_allocate_partial_segment_with_filter", "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": "For", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}], "iter": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "VLAN_MIN", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Add", "_fields": {}}, "left": {"_type": "Name", "_fields": {"id": "VLAN_MAX", "ctx": {"_type": "Load", "_fields": {}}}}, "right": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}], "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": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_allocate_partial_segment_no_resource_available", "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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Constant", "_fields": {"kind": null, "value": "other_phys_net"}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "raw_segment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "raw_segment", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test_allocate_partial_segment_outside_pools", "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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Name", "_fields": {"id": "TENANT_NET", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "expected", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "check_raw_segment", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Query", "value": {"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "update"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "side_effect", "value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}]}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_allocate_partial_segment_first_attempt_fails", "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": "With", "_fields": {"body": [{"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NoNetworkFoundInMaximumAllowedAttempts", "value": {"_type": "Name", "_fields": {"id": "exc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ANY", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ANY", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Name", "_fields": {"id": "log_warning", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOG", "value": {"_type": "Name", "_fields": {"id": "helpers", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "warning"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "log_warning", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Query", "value": {"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "update"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "return_value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_allocate_partial_segment_all_attempts_fail", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "HelpersTest", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "SqlTestCase", "value": {"_type": "Name", "_fields": {"id": "testlib_api", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class HelpersTest(testlib_api.SqlTestCase):
def setUp(self):
super(HelpersTest, self).setUp()
self.driver = type_vlan.VlanTypeDriver()
self.driver.network_vlan_ranges = NETWORK_VLAN_RANGES
self.driver._sync_vlan_allocations()
self.session = db.get_session()
self.useFixture(
fixtures.FakeLogger(
name=helpers.__name__,
format=base.LOG_FORMAT,
level=std_logging.DEBUG
))
def check_raw_segment(self, expected, observed):
for key, value in expected.items():
self.assertEqual(value, observed[key])
def test_primary_keys(self):
self.assertEqual(set(['physical_network', 'vlan_id']),
self.driver.primary_keys)
def test_allocate_specific_unallocated_segment_in_pools(self):
expected = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
observed = self.driver.allocate_fully_specified_segment(self.session,
**expected)
self.check_raw_segment(expected, observed)
def test_allocate_specific_allocated_segment_in_pools(self):
raw_segment = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
self.driver.allocate_fully_specified_segment(self.session,
**raw_segment)
observed = self.driver.allocate_fully_specified_segment(self.session,
**raw_segment)
self.assertIsNone(observed)
def test_allocate_specific_finally_allocated_segment_in_pools(self):
# Test case: allocate a specific unallocated segment in pools but
# the segment is allocated concurrently between select and update
raw_segment = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
with mock.patch.object(query.Query, 'update', return_value=0):
observed = self.driver.allocate_fully_specified_segment(
self.session, **raw_segment)
self.assertIsNone(observed)
def test_allocate_specific_unallocated_segment_outside_pools(self):
expected = dict(physical_network=TENANT_NET, vlan_id=VLAN_OUTSIDE)
observed = self.driver.allocate_fully_specified_segment(self.session,
**expected)
self.check_raw_segment(expected, observed)
def test_allocate_specific_allocated_segment_outside_pools(self):
raw_segment = dict(physical_network=TENANT_NET, vlan_id=VLAN_OUTSIDE)
self.driver.allocate_fully_specified_segment(self.session,
**raw_segment)
observed = self.driver.allocate_fully_specified_segment(self.session,
**raw_segment)
self.assertIsNone(observed)
def test_allocate_specific_finally_unallocated_segment_outside_pools(self):
# Test case: allocate a specific allocated segment in pools but
# the segment is concurrently unallocated after select or update
expected = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
with mock.patch.object(self.driver.model, 'save'):
observed = self.driver.allocate_fully_specified_segment(
self.session, **expected)
self.check_raw_segment(expected, observed)
def test_allocate_partial_segment_without_filters(self):
expected = dict(physical_network=TENANT_NET)
observed = self.driver.allocate_partially_specified_segment(
self.session)
self.check_raw_segment(expected, observed)
def test_allocate_partial_segment_with_filter(self):
expected = dict(physical_network=TENANT_NET)
observed = self.driver.allocate_partially_specified_segment(
self.session, **expected)
self.check_raw_segment(expected, observed)
def test_allocate_partial_segment_no_resource_available(self):
for i in range(VLAN_MIN, VLAN_MAX + 1):
self.driver.allocate_partially_specified_segment(self.session)
observed = self.driver.allocate_partially_specified_segment(
self.session)
self.assertIsNone(observed)
def test_allocate_partial_segment_outside_pools(self):
raw_segment = dict(physical_network='other_phys_net')
observed = self.driver.allocate_partially_specified_segment(
self.session, **raw_segment)
self.assertIsNone(observed)
def test_allocate_partial_segment_first_attempt_fails(self):
expected = dict(physical_network=TENANT_NET)
with mock.patch.object(query.Query, 'update', side_effect=[0, 1]):
observed = self.driver.allocate_partially_specified_segment(
self.session, **expected)
self.check_raw_segment(expected, observed)
def test_allocate_partial_segment_all_attempts_fail(self):
with mock.patch.object(query.Query, 'update', return_value=0):
with mock.patch.object(helpers.LOG, 'warning') as log_warning:
self.assertRaises(
exc.NoNetworkFoundInMaximumAllowedAttempts,
self.driver.allocate_partially_specified_segment,
self.session)
log_warning.assert_called_once_with(mock.ANY, mock.ANY)
|
|
10,839
|
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] | 9
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|
def test_allocate_specific_finally_unallocated_segment_outside_pools(self):
# Test case: allocate a specific allocated segment in pools but
# the segment is concurrently unallocated after select or update
expected = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
with mock.patch.object(self.driver.model, 'save'):
observed = self.driver.allocate_fully_specified_segment(
self.session, **expected)
self.check_raw_segment(expected, observed)
|
|
10,840
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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": [], "func": {"_type": "Name", "_fields": {"id": "dict", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "physical_network", "value": {"_type": "Name", "_fields": {"id": "TENANT_NET", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "keyword", "_fields": {"arg": "vlan_id", "value": {"_type": "Name", "_fields": {"id": "VLAN_MIN", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "raw_segment", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "With", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_fully_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": null, "value": {"_type": "Name", "_fields": {"id": "raw_segment", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "observed", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertIsNone", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Query", "value": {"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "update"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "return_value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_allocate_specific_finally_allocated_segment_in_pools", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_allocate_specific_finally_allocated_segment_in_pools(self):
# Test case: allocate a specific unallocated segment in pools but
# the segment is allocated concurrently between select and update
raw_segment = dict(physical_network=TENANT_NET, vlan_id=VLAN_MIN)
with mock.patch.object(query.Query, 'update', return_value=0):
observed = self.driver.allocate_fully_specified_segment(
self.session, **raw_segment)
self.assertIsNone(observed)
|
|
10,841
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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": "With", "_fields": {"body": [{"_type": "With", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "NoNetworkFoundInMaximumAllowedAttempts", "value": {"_type": "Name", "_fields": {"id": "exc", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "allocate_partially_specified_segment", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "driver", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertRaises", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ANY", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ANY", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assert_called_once_with", "value": {"_type": "Name", "_fields": {"id": "log_warning", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "LOG", "value": {"_type": "Name", "_fields": {"id": "helpers", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "warning"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "optional_vars": {"_type": "Name", "_fields": {"id": "log_warning", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Query", "value": {"_type": "Name", "_fields": {"id": "query", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "update"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "object", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "patch", "value": {"_type": "Name", "_fields": {"id": "mock", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "return_value", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}}}]}}, "optional_vars": null}}], "type_comment": null}}], "name": "test_allocate_partial_segment_all_attempts_fail", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test_allocate_partial_segment_all_attempts_fail(self):
with mock.patch.object(query.Query, 'update', return_value=0):
with mock.patch.object(helpers.LOG, 'warning') as log_warning:
self.assertRaises(
exc.NoNetworkFoundInMaximumAllowedAttempts,
self.driver.allocate_partially_specified_segment,
self.session)
log_warning.assert_called_once_with(mock.ANY, mock.ANY)
|
|
10,842
|
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] | 10
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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": "fileobj", "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": "fileobj", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "OggPage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "While", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "fileobj", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "OggPage", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "Speex "}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "startswith", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "packets", "value": {"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": "page has ID header, but doesn't start a stream"}}], "func": {"_type": "Name", "_fields": {"id": "OggSpeexHeaderError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "first", "value": {"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}, {"_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": 36}}, "upper": {"_type": "Constant", "_fields": 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"type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "Call", "_fields": {"args": [{"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Slice", "_fields": {"step": null, "lower": {"_type": "Constant", "_fields": {"kind": null, "value": 52}}, "upper": {"_type": "Constant", "_fields": {"kind": null, "value": 56}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": 0}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "packets", "value": {"_type": "Name", "_fields": {"id": "page", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int_le", "value": {"_type": "Name", "_fields": {"id": "cdata", 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|
def __init__(self, fileobj):
page = OggPage(fileobj)
while not page.packets[0].startswith("Speex "):
page = OggPage(fileobj)
if not page.first:
raise OggSpeexHeaderError(
"page has ID header, but doesn't start a stream")
self.sample_rate = cdata.uint_le(page.packets[0][36:40])
self.channels = cdata.uint_le(page.packets[0][48:52])
self.bitrate = max(0, cdata.int_le(page.packets[0][52:56]))
self.serial = page.serial
|
|
10,843
|
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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": "fileobj", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "info", "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": []}}, "targets": [{"_type": "Name", "_fields": {"id": "pages", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}, "targets": [{"_type": "Name", "_fields": {"id": "complete", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, 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|
def __init__(self, fileobj, info):
pages = []
complete = False
while not complete:
page = OggPage(fileobj)
if page.serial == info.serial:
pages.append(page)
complete = page.complete or (len(page.packets) > 1)
data = OggPage.to_packets(pages)[0] + "\x01"
super(OggSpeexVComment, self).__init__(data, framing=False)
|
|
10,844
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"func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_dst64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "verify", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Cert_8_1_01_Commissioning", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TestCase", "value": {"_type": "Name", "_fields": {"id": "thread_cert", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Cert_8_1_01_Commissioning(thread_cert.TestCase):
SUPPORT_NCP = False
TOPOLOGY = {
COMMISSIONER: {
'name': 'COMMISSIONER',
'networkkey': '00112233445566778899aabbccddeeff',
'mode': 'rdn',
},
JOINER: {
'name': 'JOINER',
'networkkey': 'deadbeefdeadbeefdeadbeefdeadbeef',
'mode': 'rdn',
},
}
def test(self):
self.nodes[COMMISSIONER].interface_up()
self.nodes[COMMISSIONER].thread_start()
self.simulator.go(config.LEADER_STARTUP_DELAY)
self.assertEqual(self.nodes[COMMISSIONER].get_state(), 'leader')
self.nodes[COMMISSIONER].commissioner_start()
self.simulator.go(3)
self.nodes[COMMISSIONER].commissioner_add_joiner(self.nodes[JOINER].get_eui64(), 'PSKD01')
self.nodes[JOINER].interface_up()
self.nodes[JOINER].joiner_start('PSKD01')
self.simulator.go(10)
self.simulator.read_cert_messages_in_commissioning_log([COMMISSIONER, JOINER])
self.assertEqual(
self.nodes[JOINER].get_networkkey(),
self.nodes[COMMISSIONER].get_networkkey(),
)
joiner_messages = self.simulator.get_messages_sent_by(JOINER)
commissioner_messages = self.simulator.get_messages_sent_by(COMMISSIONER)
# 5.8,9,10,11
# - Joiner
command.check_joiner_commissioning_messages(joiner_messages.commissioning_messages)
# - Commissioner
command.check_commissioner_commissioning_messages(commissioner_messages.commissioning_messages)
# As commissioner is also joiner router
command.check_joiner_router_commissioning_messages(commissioner_messages.commissioning_messages)
self.nodes[JOINER].thread_start()
self.simulator.go(5)
self.assertEqual(self.nodes[JOINER].get_state(), 'router')
def verify(self, pv):
pkts = pv.pkts
pv.summary.show()
COMMISSIONER = pv.vars['COMMISSIONER']
COMMISSIONER_VERSION = pv.vars['COMMISSIONER_VERSION']
JOINER_VERSION = pv.vars['JOINER_VERSION']
# Step 3: Joiner sends MLE Discovery Request
# MLE Discovery Request message MUST have these values:
# - MLE Security Suite: 255 (No MLE Security)
# - Thread Discovery TLV
# Sub-TLVs:
# - Discovery Request TLV
# - Protocol Version: 2 or 3
# (depends on the Thread stack version in testing)
pkts.filter_mle_cmd(MLE_DISCOVERY_REQUEST).\
filter_LLARMA().\
filter(lambda p:
[THREAD_DISCOVERY_TLV] == p.mle.tlv.type and\
[NM_DISCOVERY_REQUEST_TLV] == p.thread_meshcop.tlv.type and\
p.thread_meshcop.tlv.discovery_req_ver == JOINER_VERSION
).\
must_next()
# Step 4: Commissioner sends MLE Discovery Response
# MLE Discovery Response message MUST have these values:
# - MLE Security Suite: 255 (No MLE Security)
# - Source Address in IEEE 802.15.4 header MUST be set to
# the MAC Extended Address (64-bit)
# - Destination Address in IEEE 802.15.4 header MUST be
# set to Discovery Request Source Address
# - Thread Discovery TLV
# Sub-TLVs:
# - Discovery Request TLV
# - Protocol Version: 2 or 3
# (depends on the Thread stack version in testing)
# - Extended PAN ID TLV
# - Joiner UDP Port TLV
# - Network Name TLV
# - Steering Data TLV
# - Commissioner UDP Port TLV (optional)
_rs_pkt = pkts.filter_wpan_src64(COMMISSIONER).\
filter_mle_cmd(MLE_DISCOVERY_RESPONSE).\
filter(lambda p: {
NM_EXTENDED_PAN_ID_TLV,
NM_NETWORK_NAME_TLV,
NM_STEERING_DATA_TLV,
NM_JOINER_UDP_PORT_TLV,
NM_DISCOVERY_RESPONSE_TLV
} <= set(p.thread_meshcop.tlv.type) and\
p.thread_meshcop.tlv.discovery_rsp_ver == COMMISSIONER_VERSION
).\
must_next()
# Step 5: Verify the following details occur in the exchange between
# Joiner and the Commissioner
# 1. UDP port (Specified by the Commissioner: in Discovery Response)
# is used as destination port for UDP datagrams from Joiner to
# the Commissioner.
# 2. Joiner sends an initial DTLS-ClientHello handshake record to the
# Commissioner
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_HELLO] and\
p.udp.srcport in _rs_pkt.thread_meshcop.tlv.udp_port and\
p.udp.dstport in _rs_pkt.thread_meshcop.tlv.udp_port
).\
must_next()
# 3. The Commissioner receives the initial DTLS-ClientHello handshake
# record and sends a DTLS-HelloVerifyRequest handshake record Joiner
_pkt = pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p: p.dtls.handshake.type == [HANDSHAKE_HELLO_VERIFY_REQUEST]).\
must_next()
_pkt.must_verify(lambda p: p.dtls.handshake.cookie is not None)
# 4. Joiner receives the DTLS-HelloVerifyRequest handshake record and sends
# a subsequent DTLS-ClientHello handshake record in one UDP datagram to the
# Commissioner
# Verify that both DTLS-HelloVerifyRequest and subsequent DTLS-ClientHello
# contain the same cookie
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_HELLO] and\
p.dtls.handshake.cookie == _pkt.dtls.handshake.cookie
).\
must_next()
# 5. Commissioner must correctly receive the subsequent DTLSClientHello
# handshake record and then send, in order, DTLSServerHello,
# DTLS-ServerKeyExchange and DTLSServerHelloDone handshake records to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_SERVER_HELLO,
HANDSHAKE_SERVER_KEY_EXCHANGE,
HANDSHAKE_SERVER_HELLO_DONE]
).\
must_next()
# 6. Joiner receives the DTLS-ServerHello, DTLSServerKeyExchange and
# DTLS-ServerHelloDone handshake records and sends, in order,
# a DTLS-ClientKeyExchange handshake record,
# a DTLS-ChangeCipherSpec record and
# an encrypted DTLS-Finished handshake record to the Commissioner.
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_KEY_EXCHANGE] and\
{
CONTENT_CHANGE_CIPHER_SPEC,
CONTENT_HANDSHAKE
} == set(p.dtls.record.content_type)
).\
must_next()
# 7. Commissioner receives the DTLS-ClientKeyExchange handshake record, the
# DTLS-ChangeCipherSpec record and the encrypted DTLS-Finished handshake record,
# and sends a DTLS-ChangeCipherSpec record and an encrypted DTLSFinished handshake
# record in that order to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p: {
CONTENT_CHANGE_CIPHER_SPEC,
CONTENT_HANDSHAKE
} == set(p.dtls.record.content_type)
).\
must_next()
# 8. Joiner receives the DTLS-ChangeCipherSpec record and the encrypted DTLS-Finished
# handshake record and sends a JOIN_FIN.req message in an encrypted DTLS-ApplicationData
# record in a single UDP datagram to Commissioner.
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
[CONTENT_APPLICATION_DATA] == p.dtls.record.content_type
).\
must_next()
# 9. Commissioner receives the encrypted DTLS-ApplicationData record and sends a
# JOIN_FIN.rsp message in an encrypted DTLS-ApplicationData record in a single
# UDP datagram to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p:
[CONTENT_APPLICATION_DATA] == p.dtls.record.content_type
).\
must_next()
# 10. Commissioner sends an encrypted JOIN_ENT.ntf message to Joiner
# 11. Joiner receives the encrypted JOIN_ENT.ntf message and sends an encrypted
# JOIN_ENT.ntf dummy response to Commissioner
# Check Step 8 ~ 11 in test()
# 12. Joiner sends an encrypted DTLS-Alert record with a code of 0 (close_notify)
# to Commissioner
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
[CONTENT_ALERT] == p.dtls.record.content_type
).\
must_next()
|
|
10,845
|
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"_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_dst64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "must_next", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Set", "_fields": {"elts": [{"_type": "Name", "_fields": {"id": "CONTENT_CHANGE_CIPHER_SPEC", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "CONTENT_HANDSHAKE", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "comparators": [{"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "record", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtls", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}], "func": {"_type": "Name", "_fields": {"id": "set", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_src64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "must_next", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "CONTENT_APPLICATION_DATA", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "record", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtls", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_dst64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "must_next", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "CONTENT_APPLICATION_DATA", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "record", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtls", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_src64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "must_next", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Lambda", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "p", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "CONTENT_ALERT", "ctx": {"_type": "Load", "_fields": {}}}}]}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "content_type", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "record", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtls", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}]}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "COMMISSIONER", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "filter_wpan_dst64", "value": {"_type": "Name", "_fields": {"id": "pkts", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "verify", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def verify(self, pv):
pkts = pv.pkts
pv.summary.show()
COMMISSIONER = pv.vars['COMMISSIONER']
COMMISSIONER_VERSION = pv.vars['COMMISSIONER_VERSION']
JOINER_VERSION = pv.vars['JOINER_VERSION']
# Step 3: Joiner sends MLE Discovery Request
# MLE Discovery Request message MUST have these values:
# - MLE Security Suite: 255 (No MLE Security)
# - Thread Discovery TLV
# Sub-TLVs:
# - Discovery Request TLV
# - Protocol Version: 2 or 3
# (depends on the Thread stack version in testing)
pkts.filter_mle_cmd(MLE_DISCOVERY_REQUEST).\
filter_LLARMA().\
filter(lambda p:
[THREAD_DISCOVERY_TLV] == p.mle.tlv.type and\
[NM_DISCOVERY_REQUEST_TLV] == p.thread_meshcop.tlv.type and\
p.thread_meshcop.tlv.discovery_req_ver == JOINER_VERSION
).\
must_next()
# Step 4: Commissioner sends MLE Discovery Response
# MLE Discovery Response message MUST have these values:
# - MLE Security Suite: 255 (No MLE Security)
# - Source Address in IEEE 802.15.4 header MUST be set to
# the MAC Extended Address (64-bit)
# - Destination Address in IEEE 802.15.4 header MUST be
# set to Discovery Request Source Address
# - Thread Discovery TLV
# Sub-TLVs:
# - Discovery Request TLV
# - Protocol Version: 2 or 3
# (depends on the Thread stack version in testing)
# - Extended PAN ID TLV
# - Joiner UDP Port TLV
# - Network Name TLV
# - Steering Data TLV
# - Commissioner UDP Port TLV (optional)
_rs_pkt = pkts.filter_wpan_src64(COMMISSIONER).\
filter_mle_cmd(MLE_DISCOVERY_RESPONSE).\
filter(lambda p: {
NM_EXTENDED_PAN_ID_TLV,
NM_NETWORK_NAME_TLV,
NM_STEERING_DATA_TLV,
NM_JOINER_UDP_PORT_TLV,
NM_DISCOVERY_RESPONSE_TLV
} <= set(p.thread_meshcop.tlv.type) and\
p.thread_meshcop.tlv.discovery_rsp_ver == COMMISSIONER_VERSION
).\
must_next()
# Step 5: Verify the following details occur in the exchange between
# Joiner and the Commissioner
# 1. UDP port (Specified by the Commissioner: in Discovery Response)
# is used as destination port for UDP datagrams from Joiner to
# the Commissioner.
# 2. Joiner sends an initial DTLS-ClientHello handshake record to the
# Commissioner
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_HELLO] and\
p.udp.srcport in _rs_pkt.thread_meshcop.tlv.udp_port and\
p.udp.dstport in _rs_pkt.thread_meshcop.tlv.udp_port
).\
must_next()
# 3. The Commissioner receives the initial DTLS-ClientHello handshake
# record and sends a DTLS-HelloVerifyRequest handshake record Joiner
_pkt = pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p: p.dtls.handshake.type == [HANDSHAKE_HELLO_VERIFY_REQUEST]).\
must_next()
_pkt.must_verify(lambda p: p.dtls.handshake.cookie is not None)
# 4. Joiner receives the DTLS-HelloVerifyRequest handshake record and sends
# a subsequent DTLS-ClientHello handshake record in one UDP datagram to the
# Commissioner
# Verify that both DTLS-HelloVerifyRequest and subsequent DTLS-ClientHello
# contain the same cookie
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_HELLO] and\
p.dtls.handshake.cookie == _pkt.dtls.handshake.cookie
).\
must_next()
# 5. Commissioner must correctly receive the subsequent DTLSClientHello
# handshake record and then send, in order, DTLSServerHello,
# DTLS-ServerKeyExchange and DTLSServerHelloDone handshake records to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_SERVER_HELLO,
HANDSHAKE_SERVER_KEY_EXCHANGE,
HANDSHAKE_SERVER_HELLO_DONE]
).\
must_next()
# 6. Joiner receives the DTLS-ServerHello, DTLSServerKeyExchange and
# DTLS-ServerHelloDone handshake records and sends, in order,
# a DTLS-ClientKeyExchange handshake record,
# a DTLS-ChangeCipherSpec record and
# an encrypted DTLS-Finished handshake record to the Commissioner.
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
p.dtls.handshake.type == [HANDSHAKE_CLIENT_KEY_EXCHANGE] and\
{
CONTENT_CHANGE_CIPHER_SPEC,
CONTENT_HANDSHAKE
} == set(p.dtls.record.content_type)
).\
must_next()
# 7. Commissioner receives the DTLS-ClientKeyExchange handshake record, the
# DTLS-ChangeCipherSpec record and the encrypted DTLS-Finished handshake record,
# and sends a DTLS-ChangeCipherSpec record and an encrypted DTLSFinished handshake
# record in that order to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p: {
CONTENT_CHANGE_CIPHER_SPEC,
CONTENT_HANDSHAKE
} == set(p.dtls.record.content_type)
).\
must_next()
# 8. Joiner receives the DTLS-ChangeCipherSpec record and the encrypted DTLS-Finished
# handshake record and sends a JOIN_FIN.req message in an encrypted DTLS-ApplicationData
# record in a single UDP datagram to Commissioner.
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
[CONTENT_APPLICATION_DATA] == p.dtls.record.content_type
).\
must_next()
# 9. Commissioner receives the encrypted DTLS-ApplicationData record and sends a
# JOIN_FIN.rsp message in an encrypted DTLS-ApplicationData record in a single
# UDP datagram to Joiner
pkts.filter_wpan_src64(COMMISSIONER).\
filter(lambda p:
[CONTENT_APPLICATION_DATA] == p.dtls.record.content_type
).\
must_next()
# 10. Commissioner sends an encrypted JOIN_ENT.ntf message to Joiner
# 11. Joiner receives the encrypted JOIN_ENT.ntf message and sends an encrypted
# JOIN_ENT.ntf dummy response to Commissioner
# Check Step 8 ~ 11 in test()
# 12. Joiner sends an encrypted DTLS-Alert record with a code of 0 (close_notify)
# to Commissioner
pkts.filter_wpan_dst64(COMMISSIONER).\
filter(lambda p:
[CONTENT_ALERT] == p.dtls.record.content_type
).\
must_next()
|
|
10,846
|
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] | 10
|
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{"kind": null, "value": 5}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "go", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "simulator", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "get_state", "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "JOINER", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nodes", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "keywords": []}}, {"_type": "Constant", "_fields": {"kind": null, "value": "router"}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "test", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def test(self):
self.nodes[COMMISSIONER].interface_up()
self.nodes[COMMISSIONER].thread_start()
self.simulator.go(config.LEADER_STARTUP_DELAY)
self.assertEqual(self.nodes[COMMISSIONER].get_state(), 'leader')
self.nodes[COMMISSIONER].commissioner_start()
self.simulator.go(3)
self.nodes[COMMISSIONER].commissioner_add_joiner(self.nodes[JOINER].get_eui64(), 'PSKD01')
self.nodes[JOINER].interface_up()
self.nodes[JOINER].joiner_start('PSKD01')
self.simulator.go(10)
self.simulator.read_cert_messages_in_commissioning_log([COMMISSIONER, JOINER])
self.assertEqual(
self.nodes[JOINER].get_networkkey(),
self.nodes[COMMISSIONER].get_networkkey(),
)
joiner_messages = self.simulator.get_messages_sent_by(JOINER)
commissioner_messages = self.simulator.get_messages_sent_by(COMMISSIONER)
# 5.8,9,10,11
# - Joiner
command.check_joiner_commissioning_messages(joiner_messages.commissioning_messages)
# - Commissioner
command.check_commissioner_commissioning_messages(commissioner_messages.commissioning_messages)
# As commissioner is also joiner router
command.check_joiner_router_commissioning_messages(commissioner_messages.commissioning_messages)
self.nodes[JOINER].thread_start()
self.simulator.go(5)
self.assertEqual(self.nodes[JOINER].get_state(), 'router')
|
|
10,847
|
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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}}, {"_type": "arg", "_fields": {"arg": "key", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Try", "_fields": {"body": [{"_type": "Return", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__getitem__", "value": {"_type": "Name", "_fields": {"id": "oldcls", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": null, "cause": null}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "NotIn", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "form", "value": {"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "request", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "DebugFilesKeyError", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": null, "type": {"_type": "Name", "_fields": {"id": "KeyError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}], "name": "__getitem__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "newcls", "bases": [{"_type": "Name", "_fields": {"id": "oldcls", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class newcls(oldcls):
def __getitem__(self, key):
try:
return oldcls.__getitem__(self, key)
except KeyError:
if key not in request.form:
raise
raise DebugFilesKeyError(request, key)
|
|
10,848
|
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|
def _dump_loader_info(loader):
yield 'class: %s.%s' % (type(loader).__module__, type(loader).__name__)
for key, value in sorted(loader.__dict__.items()):
if key.startswith('_'):
continue
if isinstance(value, (tuple, list)):
if not all(isinstance(x, (str, text_type)) for x in value):
continue
yield '%s:' % key
for item in value:
yield ' - %s' % item
continue
elif not isinstance(value, (str, text_type, int, float, bool)):
continue
yield '%s: %r' % (key, value)
|
|
10,849
|
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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": "cmd", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "cwd", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Popen", "value": {"_type": "Name", "_fields": {"id": "subprocess", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "shell", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "cwd", "value": {"_type": "Name", "_fields": {"id": "cwd", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "wait", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "If", "_fields": {"body": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CalledProcessError", "value": {"_type": "Name", "_fields": {"id": "subprocess", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "returncode", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "returncode", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "keyword", "_fields": {"arg": "cmd", "value": {"_type": "Name", "_fields": {"id": "cmd", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "cause": null}}], "test": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "returncode", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}, "orelse": []}}, {"_type": "Return", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "returncode", "value": {"_type": "Name", "_fields": {"id": "p", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "run_shell", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def run_shell(cmd, cwd=None):
p = subprocess.Popen(cmd, shell=True, cwd=cwd)
p.wait()
if p.returncode:
raise subprocess.CalledProcessError(returncode=p.returncode, cmd=cmd)
return p.returncode
|
|
10,850
|
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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": "args", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "need_clean", "value": {"_type": "Name", "_fields": {"id": "args", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "need_clean", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", 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|
def __init__(self, args):
self.need_clean = args.need_clean
self.disable_strip = args.disable_strip
self.use_incredibuild = args.use_incredibuild
self.tool_dir = os.path.realpath(os.path.dirname(__file__))
self.no_android = args.no_android
self.engine_dir = os.path.join(self.tool_dir, os.path.pardir, os.path.pardir)
self.load_config()
|
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10,851
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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}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "tool_dir", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CONFIG_FILE", "value": {"_type": "Name", "_fields": {"id": "Generator", "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": "cfg_json", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "cfg_json", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "open", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "load", "value": {"_type": "Name", "_fields": {"id": "json", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "cfg_info", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "close", "value": {"_type": "Name", "_fields": {"id": "f", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "KEY_XCODE_PROJ_INFO", "value": {"_type": "Name", "_fields": {"id": "Generator", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "cfg_info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "xcode_proj_info", "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": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "KEY_WIN32_PROJ_INFO", "value": {"_type": "Name", "_fields": {"id": "Generator", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Name", "_fields": {"id": "cfg_info", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "attr": "win32_proj_info", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}], "type_comment": null}}], "name": "load_config", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def load_config(self):
cfg_json = os.path.join(self.tool_dir, Generator.CONFIG_FILE)
f = open(cfg_json)
cfg_info = json.load(f)
f.close()
self.xcode_proj_info = cfg_info[Generator.KEY_XCODE_PROJ_INFO]
self.win32_proj_info = cfg_info[Generator.KEY_WIN32_PROJ_INFO]
|
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10,852
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"ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "strip_cmd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "run_shell", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "strip_cmd_path", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "exists", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "path", "value": {"_type": "Name", "_fields": {"id": "os", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": []}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "disable_strip", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "name": "build_android", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def build_android(self):
# build .a for android
console_dir = os.path.join(self.engine_dir, CONSOLE_PATH)
cmd_path = os.path.join(console_dir, "cocos")
proj_path = os.path.join(self.engine_dir, TESTS_PROJ_PATH)
# Add multi ABI in Application.mk
mk_file = os.path.join(proj_path, MK_PATH)
f = open(mk_file)
file_content = f.read()
f.close()
self.modify_mk(mk_file)
# build it
build_cmd = "%s compile -s %s -p android --ndk-mode release -j 4" % (cmd_path, proj_path)
run_shell(build_cmd)
f = open(mk_file, "w")
f.write(file_content)
f.close()
# copy .a to prebuilt dir
obj_dir = os.path.join(proj_path, ANDROID_A_PATH)
prebuilt_dir = os.path.join(self.tool_dir, "prebuilt", "android")
copy_cfg = {
"from": obj_dir,
"to": prebuilt_dir,
"include": [
"*.a$"
]
}
excopy.copy_files_with_config(copy_cfg, obj_dir, prebuilt_dir)
if not self.disable_strip:
# strip the android libs
ndk_root = os.environ["NDK_ROOT"]
if os_is_win32():
if self.is_32bit_windows():
bit_str = ""
else:
bit_str = "-x86_64"
sys_folder_name = "windows%s" % bit_str
elif os_is_mac():
sys_folder_name = "darwin-x86_64"
strip_cmd_path = os.path.join(ndk_root, "toolchains/arm-linux-androideabi-4.8/prebuilt/%s/arm-linux-androideabi/bin/strip" % sys_folder_name)
if os.path.exists(strip_cmd_path):
strip_cmd = "%s -S %s/armeabi*/*.a" % (strip_cmd_path, prebuilt_dir)
run_shell(strip_cmd)
|
|
10,853
|
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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": "cmd_path", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "sln_path", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "proj_name", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "mode", "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": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "\"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "cmd_path", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "\"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "sln_path", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/%s \"Release|Win32\""}}, "right": {"_type": "Name", "_fields": {"id": "mode", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "/Project \"%s\""}}, "right": {"_type": "Name", "_fields": {"id": "proj_name", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "join", "value": {"_type": "Constant", "_fields": {"kind": null, "value": " "}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "build_cmd", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "build_cmd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "run_shell", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "name": "build_win32_proj", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def build_win32_proj(self, cmd_path, sln_path, proj_name, mode):
build_cmd = " ".join([
"\"%s\"" % cmd_path,
"\"%s\"" % sln_path,
"/%s \"Release|Win32\"" % mode,
"/Project \"%s\"" % proj_name
])
run_shell(build_cmd)
|
|
10,854
|
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"orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Pass", "_fields": {}}], "name": null, "type": null}}], "finalbody": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Break", "_fields": {}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "vsPath", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": []}}], "iter": {"_type": "Name", "_fields": {"id": "reg_flag_list", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "reg_flag", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "orelse": [], "handlers": [{"_type": "ExceptHandler", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, "value": "Visual Studio wasn't installed"}}, "targets": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "e", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "print", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, {"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "message", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "Exception", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "cause": null}}], "name": "e", "type": {"_type": "Name", "_fields": {"id": "WindowsError", "ctx": {"_type": "Load", "_fields": {}}}}}}], "finalbody": []}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "vsPath", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": "Common7"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "IDE"}}, {"_type": "Constant", "_fields": {"kind": null, "value": "devenv"}}], "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": "commandPath", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "needUpgrade", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "commandPath", "ctx": {"_type": "Load", "_fields": {}}}}]}}}}], "name": "get_vs_cmd_path", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def get_vs_cmd_path(self, require_version):
# find the VS in register, if system is 64bit, should find vs in both 32bit & 64bit register
if self.is_32bit_windows():
reg_flag_list = [ _winreg.KEY_WOW64_32KEY ]
else:
reg_flag_list = [ _winreg.KEY_WOW64_64KEY, _winreg.KEY_WOW64_32KEY ]
needUpgrade = False
vsPath = None
try:
for reg_flag in reg_flag_list:
print("find vs in reg : %s" % ("32bit" if reg_flag == _winreg.KEY_WOW64_32KEY else "64bit"))
vs = _winreg.OpenKey(
_winreg.HKEY_LOCAL_MACHINE,
r"SOFTWARE\Microsoft\VisualStudio",
0,
_winreg.KEY_READ | reg_flag
)
try:
i = 0
while True:
try:
# enum the keys in vs reg
version = _winreg.EnumKey(vs, i)
find_ver = float(version)
# find the vs which version >= required version
if find_ver >= float(require_version):
key = _winreg.OpenKey(vs, r"SxS\VS7")
vsPath, type = _winreg.QueryValueEx(key, version)
if os.path.exists(vsPath):
if float(version) > float(require_version):
needUpgrade = True
break
else:
vsPath = None
except:
continue
finally:
i += 1
except:
pass
# if find one right vs, break
if vsPath is not None:
break
except WindowsError as e:
message = "Visual Studio wasn't installed"
print(e)
raise Exception(message)
commandPath = os.path.join(vsPath, "Common7", "IDE", "devenv")
return (needUpgrade, commandPath)
|
|
10,855
|
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"Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "KEY_TARGETS", "value": {"_type": "Name", "_fields": {"id": "Generator", "ctx": {"_type": "Load", "_fields": {}}}}}}, "value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Load", "_fields": {}}}}, "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xcode_proj_info", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "target", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}, {"_type": "For", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ios_sim_libs_dir", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "lib", "ctx": {"_type": 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"keywords": []}}}}, {"_type": "Assign", "_fields": {"value": {"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "xcrun strip -S %s/*.a"}}, "right": {"_type": "Name", "_fields": {"id": "mac_out_dir", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "mac_strip_cmd", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "mac_strip_cmd", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "run_shell", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "disable_strip", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "iter": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "keys", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "xcode_proj_info", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "key", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "build_ios_mac", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def build_ios_mac(self):
for key in self.xcode_proj_info.keys():
output_dir = self.xcode_proj_info[key][Generator.KEY_OUTPUT_DIR]
proj_path = os.path.join(self.engine_dir, key)
ios_out_dir = os.path.join(self.tool_dir, output_dir, "ios")
mac_out_dir = os.path.join(self.tool_dir, output_dir, "mac")
ios_sim_libs_dir = os.path.join(ios_out_dir, "simulator")
ios_dev_libs_dir = os.path.join(ios_out_dir, "device")
for target in self.xcode_proj_info[key][Generator.KEY_TARGETS]:
build_cmd = Generator.XCODE_CMD_FMT % (proj_path, "%s iOS" % target, "-sdk iphonesimulator", ios_sim_libs_dir)
run_shell(build_cmd, self.tool_dir)
build_cmd = Generator.XCODE_CMD_FMT % (proj_path, "%s iOS" % target, "-sdk iphoneos", ios_dev_libs_dir)
run_shell(build_cmd, self.tool_dir)
build_cmd = Generator.XCODE_CMD_FMT % (proj_path, "%s Mac" % target, "", mac_out_dir)
run_shell(build_cmd, self.tool_dir)
# generate fat libs for iOS
for lib in os.listdir(ios_sim_libs_dir):
sim_lib = os.path.join(ios_sim_libs_dir, lib)
dev_lib = os.path.join(ios_dev_libs_dir, lib)
output_lib = os.path.join(ios_out_dir, lib)
lipo_cmd = "lipo -create -output \"%s\" \"%s\" \"%s\"" % (output_lib, sim_lib, dev_lib)
run_shell(lipo_cmd)
# remove the simulator & device libs in iOS
shutil.rmtree(ios_sim_libs_dir)
shutil.rmtree(ios_dev_libs_dir)
if not self.disable_strip:
# strip the libs
ios_strip_cmd = "xcrun -sdk iphoneos strip -S %s/*.a" % ios_out_dir
run_shell(ios_strip_cmd)
mac_strip_cmd = "xcrun strip -S %s/*.a" % mac_out_dir
run_shell(mac_strip_cmd)
|
|
10,856
|
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] | 12
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|
def build_win32(self):
print("Building Win32")
for key in self.win32_proj_info.keys():
output_dir = self.win32_proj_info[key][Generator.KEY_OUTPUT_DIR]
proj_path = os.path.join(self.engine_dir, key)
require_vs_version = self.get_required_vs_version(proj_path)
needUpgrade, vs_command = self.get_vs_cmd_path(require_vs_version)
# get the build folder & win32 output folder
build_folder_path = os.path.join(os.path.dirname(proj_path), "Release.win32")
if os.path.exists(build_folder_path):
shutil.rmtree(build_folder_path)
os.makedirs(build_folder_path)
win32_output_dir = os.path.join(self.tool_dir, output_dir)
if os.path.exists(win32_output_dir):
shutil.rmtree(win32_output_dir)
os.makedirs(win32_output_dir)
# upgrade projects
if needUpgrade:
commandUpgrade = ' '.join([
"\"%s\"" % vs_command,
"\"%s\"" % proj_path,
"/Upgrade"
])
run_shell(commandUpgrade)
if self.use_incredibuild:
# use incredibuild, build whole sln
build_cmd = " ".join([
"BuildConsole",
"%s" % proj_path,
"/build",
"/cfg=\"Release|Win32\""
])
run_shell(build_cmd)
if not self.use_incredibuild:
# build the projects
for proj_name in self.win32_proj_info[key][Generator.KEY_TARGETS]:
self.build_win32_proj(vs_command, proj_path, proj_name, "build")
lib_file_path = os.path.join(build_folder_path, "%s.lib" % proj_name)
if not os.path.exists(lib_file_path):
# if the lib is not generated, rebuild the project
self.build_win32_proj(vs_command, proj_path, proj_name, "rebuild")
if not os.path.exists(lib_file_path):
raise Exception("Library %s not generated as expected!" % lib_file_path)
# copy the libs into prebuilt dir
for file_name in os.listdir(build_folder_path):
file_path = os.path.join(build_folder_path, file_name)
shutil.copy(file_path, win32_output_dir)
print("Win32 build succeeded.")
|
|
10,857
|
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] | 13
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{"_type": "Return", "_fields": {"value": {"_type": "Name", "_fields": {"id": "s", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "__to_string__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def __to_string__(self, hide_password=True):
s = self.drivername + "://"
if self.username is not None:
s += _rfc_1738_quote(self.username)
if self.password is not None:
s += ':' + ('***' if hide_password
else _rfc_1738_quote(self.password))
s += "@"
if self.host is not None:
if ':' in self.host:
s += "[%s]" % self.host
else:
s += self.host
if self.port is not None:
s += ':' + str(self.port)
if self.database is not None:
s += '/' + self.database
if self.query:
keys = list(self.query)
keys.sort()
s += '?' + "&".join("%s=%s" % (k, self.query[k]) for k in keys)
return s
|
|
10,858
|
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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": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_ios_mac", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "os_is_mac", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_win32", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Name", "_fields": {"id": "os_is_win32", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}, "orelse": []}}, {"_type": "If", "_fields": {"body": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "build_android", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "UnaryOp", "_fields": {"op": {"_type": "Not", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "no_android", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "orelse": []}}], "name": "build_all_libs", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def build_all_libs(self):
if os_is_mac():
# build for iOS & Mac
self.build_ios_mac()
if os_is_win32():
# build for win32
self.build_win32()
if not self.no_android:
self.build_android()
|
|
10,859
|
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{"_type": "Name", "_fields": {"id": "components", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "IsNot", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "m", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}]}}, "orelse": [{"_type": "Raise", "_fields": {"exc": {"_type": "Call", "_fields": {"args": [{"_type": "BinOp", "_fields": {"op": {"_type": "Mod", "_fields": {}}, "left": {"_type": "Constant", "_fields": {"kind": null, "value": "Could not parse rfc1738 URL from string '%s'"}}, "right": {"_type": "Name", "_fields": {"id": "name", "ctx": {"_type": "Load", "_fields": {}}}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "ArgumentError", "value": {"_type": "Name", "_fields": {"id": "exc", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "cause": null}}]}}], "name": "_parse_rfc1738_args", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _parse_rfc1738_args(name):
pattern = re.compile(r'''
(?P<name>[\w\+]+)://
(?:
(?P<username>[^:/]*)
(?::(?P<password>.*))?
@)?
(?:
(?:
\[(?P<ipv6host>[^/]+)\] |
(?P<ipv4host>[^/:]+)
)?
(?::(?P<port>[^/]*))?
)?
(?:/(?P<database>.*))?
''', re.X)
m = pattern.match(name)
if m is not None:
components = m.groupdict()
if components['database'] is not None:
tokens = components['database'].split('?', 2)
components['database'] = tokens[0]
query = (len(tokens) > 1 and dict(util.parse_qsl(tokens[1]))) or None
if util.py2k and query is not None:
query = dict((k.encode('ascii'), query[k]) for k in query)
else:
query = None
components['query'] = query
if components['username'] is not None:
components['username'] = _rfc_1738_unquote(components['username'])
if components['password'] is not None:
components['password'] = _rfc_1738_unquote(components['password'])
ipv4host = components.pop('ipv4host')
ipv6host = components.pop('ipv6host')
components['host'] = ipv4host or ipv6host
name = components.pop('name')
return URL(name, **components)
else:
raise exc.ArgumentError(
"Could not parse rfc1738 URL from string '%s'" % name)
|
|
10,860
|
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|
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|
def _parse_keyvalue_args(name):
m = re.match(r'(\w+)://(.*)', name)
if m is not None:
(name, args) = m.group(1, 2)
opts = dict(util.parse_qsl(args))
return URL(name, *opts)
else:
return None
|
|
10,861
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{"_type": "Module", "_fields": {"body": [{"_type": "ClassDef", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "CharField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "max_length", "value": {"_type": "Constant", "_fields": {"kind": null, "value": 120}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "title", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "TextField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "content", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DateTimeField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "auto_now", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}, {"_type": "keyword", "_fields": {"arg": "auto_now_add", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "updated", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "DateTimeField", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "auto_now", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}, {"_type": "keyword", "_fields": {"arg": "auto_now_add", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}, "targets": [{"_type": "Name", "_fields": {"id": "timestamp", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_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": "title", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "__unicode__", "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": "title", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}}}], "name": "__str__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "Post", "bases": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "Model", "value": {"_type": "Name", "_fields": {"id": "models", "ctx": {"_type": "Load", "_fields": {}}}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class Post(models.Model):
title=models.CharField(max_length=120)
content=models.TextField()
updated=models.DateTimeField(auto_now=True,auto_now_add=False)
timestamp=models.DateTimeField(auto_now=False,auto_now_add=True)
def __unicode__(self):
return self.title
def __str__(self):
return self.title
|
|
10,862
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{"_type": "Module", "_fields": {"body": [{"_type": "FunctionDef", "_fields": {"args": {"_type": "arguments", "_fields": {"args": [{"_type": "arg", "_fields": {"arg": "explanation", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "If", "_fields": {"body": [{"_type": "Assign", "_fields": {"value": {"_type": "Subscript", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "slice": {"_type": "Constant", "_fields": {"kind": null, "value": "description"}}, "value": {"_type": "Name", "_fields": {"id": "explanation", "ctx": {"_type": "Load", "_fields": {}}}}}}, "targets": [{"_type": "Name", "_fields": {"id": "description", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Return", "_fields": {"value": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", 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"Name", "_fields": {"id": "results", "ctx": {"_type": "Load", "_fields": {}}}}}}], "name": "plain_concepts_extractor", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def plain_concepts_extractor(explanation):
if "description" in explanation and explanation["description"].startswith(u"weight("):
description = explanation["description"]
return [(description.split(u"weight(")[1].split(u")")[0].rsplit(u" in ", 1)[0], explanation["value"])]
results = []
for detail in explanation.get("details", []):
results.extend(plain_concepts_extractor(detail))
return results
|
|
10,863
|
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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": "field", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "op1", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value1", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "op2", "annotation": null, "type_comment": null}}, {"_type": "arg", "_fields": {"arg": "value2", "annotation": null, "type_comment": null}}], "kwarg": null, "vararg": null, "defaults": [{"_type": "Constant", "_fields": {"kind": null, "value": null}}, {"_type": "Constant", "_fields": {"kind": null, "value": null}}], "kwonlyargs": [], "kw_defaults": [], "posonlyargs": []}}, "body": [{"_type": "Assign", "_fields": {"value": {"_type": "Constant", "_fields": {"kind": null, 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|
def __init__(self, field, op1, value1, op2=None, value2=None):
from_value = to_value = include_lower = include_upper = None
for op, value in ((op1, value1), (op2, value2)):
if op == "gt":
from_value = value
include_lower = False
elif op == "gte":
from_value = value
include_lower = True
if op == "lt":
to_value = value
include_upper = False
elif op == "lte":
to_value = value
include_upper = True
super(ESRangeOp, self).__init__(field, from_value, to_value,
include_lower, include_upper)
|
|
10,864
|
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"Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value1", "ctx": {"_type": "Load", "_fields": {}}}}]}}, {"_type": "Tuple", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "op2", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value2", "ctx": {"_type": "Load", "_fields": {}}}}]}}]}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "op", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "value", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "field", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "from_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "to_value", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "include_lower", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "include_upper", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "__init__", "value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "ESRangeOp", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Name", "_fields": {"id": "super", "ctx": {"_type": "Load", "_fields": {}}}}, "keywords": []}}}}, "keywords": []}}}}], "name": "__init__", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "ESRangeOp", "bases": [{"_type": "Name", "_fields": {"id": "ESRange", "ctx": {"_type": "Load", "_fields": {}}}}], "keywords": [], "type_params": [], "decorator_list": []}}], "type_ignores": []}}
|
class ESRangeOp(ESRange):
def __init__(self, field, op1, value1, op2=None, value2=None):
from_value = to_value = include_lower = include_upper = None
for op, value in ((op1, value1), (op2, value2)):
if op == "gt":
from_value = value
include_lower = False
elif op == "gte":
from_value = value
include_lower = True
if op == "lt":
to_value = value
include_upper = False
elif op == "lte":
to_value = value
include_upper = True
super(ESRangeOp, self).__init__(field, from_value, to_value,
include_lower, include_upper)
|
|
10,865
|
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|
def _sparsify(x, thresh=0.5, index_dtype=np.int64):
x[x < thresh] = 0
non_zero = np.where(x)
x_indices = np.vstack(non_zero).astype(index_dtype).T
x_values = x[non_zero]
x_shape = x.shape
return sparse_tensor.SparseTensor(
indices=x_indices, values=x_values, dense_shape=x_shape), x_values
|
|
10,866
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"optional_vars": null}}], "type_comment": null}}], "name": "testUsingAsPythonValueFails", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "name": "LogicalOpTest", "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 LogicalOpTest(test.TestCase):
def _compareBinary(self, x, y, np_func, tf_func, use_gpu=False):
np_ans = np_func(x, y)
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = tf_func(inx, iny)
tf_val = out.eval()
self.assertEqual(out.dtype, dtypes_lib.bool)
self.assertAllEqual(np_ans, tf_val)
self.assertShapeEqual(np_ans, out)
def _not(self, x, use_gpu=False):
np_ans = np.logical_not(x)
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
out = math_ops.logical_not(ops.convert_to_tensor(x))
tf_val = out.eval()
self.assertEqual(out.dtype, dtypes_lib.bool)
self.assertAllEqual(np_ans, tf_val)
self.assertShapeEqual(np_ans, out)
def testScalar(self):
data = [np.array([True]), np.array([False])]
for use_gpu in [True, False]:
for x in data:
self._not(x, use_gpu)
for x in data:
for y in data:
self._compareBinary(x, y, np.logical_and, math_ops.logical_and,
use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor,
use_gpu)
def testTensor(self):
x = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
y = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
for use_gpu in [True, False]:
self._not(x, use_gpu)
self._compareBinary(x, y, np.logical_and, math_ops.logical_and, use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor, use_gpu)
def testBCast(self):
shapes = [
([1, 3, 2], [1]),
([1, 3, 2], [2]),
([1, 3, 2], [3, 2]),
([1, 3, 2], [3, 1]),
([1, 3, 2], [1, 3, 2]),
([1, 3, 2], [2, 3, 1]),
([1, 3, 2], [2, 1, 1]),
([1, 3, 2], [1, 3, 1]),
([2, 1, 5], [2, 3, 1]),
([2, 0, 5], [2, 0, 1]),
([2, 3, 0], [2, 3, 1]),
]
for (xs, ys) in shapes:
x = np.random.randint(0, 2, np.prod(xs)).astype(np.bool).reshape(xs)
y = np.random.randint(0, 2, np.prod(ys)).astype(np.bool).reshape(ys)
for use_gpu in [True, False]:
self._compareBinary(x, y, np.logical_and, math_ops.logical_and, use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor, use_gpu)
def testShapeMismatch(self):
x = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
y = np.random.randint(0, 2, 6).astype(np.bool).reshape(3, 2, 1)
for f in [math_ops.logical_and, math_ops.logical_or, math_ops.logical_xor]:
with self.assertRaisesWithPredicateMatch(
ValueError, lambda e: "Dimensions must" in str(e)):
f(x, y)
def testUsingAsPythonValueFails(self):
# Ensure that we raise an error when the user attempts to treat a
# `Tensor` as a Python `bool`.
b = constant_op.constant(False)
with self.assertRaises(TypeError):
if b:
pass
x = constant_op.constant(3)
y = constant_op.constant(4)
with self.assertRaises(TypeError):
if x > y:
pass
z = constant_op.constant(7)
# The chained comparison should fail because Python computes `x <
# y` and short-circuits the comparison with `z` if it is `False`.
with self.assertRaises(TypeError):
_ = x < y < z
|
|
10,867
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|
def _not(self, x, use_gpu=False):
np_ans = np.logical_not(x)
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
out = math_ops.logical_not(ops.convert_to_tensor(x))
tf_val = out.eval()
self.assertEqual(out.dtype, dtypes_lib.bool)
self.assertAllEqual(np_ans, tf_val)
self.assertShapeEqual(np_ans, out)
|
|
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"ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "np_ans", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tf_val", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "np_ans", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "out", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertShapeEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_compareBinary", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _compareBinary(self, x, y, np_func, tf_func, use_gpu=False):
np_ans = np_func(x, y)
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = tf_func(inx, iny)
tf_val = out.eval()
self.assertEqual(out.dtype, dtypes_lib.bool)
self.assertAllEqual(np_ans, tf_val)
self.assertShapeEqual(np_ans, out)
|
|
10,869
|
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] | 10
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|
def testScalar(self):
data = [np.array([True]), np.array([False])]
for use_gpu in [True, False]:
for x in data:
self._not(x, use_gpu)
for x in data:
for y in data:
self._compareBinary(x, y, np.logical_and, math_ops.logical_and,
use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor,
use_gpu)
|
|
10,870
|
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|
def testTensor(self):
x = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
y = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
for use_gpu in [True, False]:
self._not(x, use_gpu)
self._compareBinary(x, y, np.logical_and, math_ops.logical_and, use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor, use_gpu)
|
|
10,871
|
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|
def testUsingAsPythonValueFails(self):
# Ensure that we raise an error when the user attempts to treat a
# `Tensor` as a Python `bool`.
b = constant_op.constant(False)
with self.assertRaises(TypeError):
if b:
pass
x = constant_op.constant(3)
y = constant_op.constant(4)
with self.assertRaises(TypeError):
if x > y:
pass
z = constant_op.constant(7)
# The chained comparison should fail because Python computes `x <
# y` and short-circuits the comparison with `z` if it is `False`.
with self.assertRaises(TypeError):
_ = x < y < z
|
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{"id": "use_gpu", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "y", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logical_xor", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logical_xor", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "use_gpu", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareBinary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "use_gpu", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "iter": {"_type": "Name", "_fields": {"id": "shapes", "ctx": {"_type": "Load", "_fields": {}}}}, "orelse": [], "target": {"_type": "Tuple", "_fields": {"ctx": {"_type": "Store", "_fields": {}}, "elts": [{"_type": "Name", "_fields": {"id": "xs", "ctx": {"_type": "Store", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "ys", "ctx": {"_type": "Store", "_fields": {}}}}]}}, "type_comment": null}}], "name": "testBCast", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testBCast(self):
shapes = [
([1, 3, 2], [1]),
([1, 3, 2], [2]),
([1, 3, 2], [3, 2]),
([1, 3, 2], [3, 1]),
([1, 3, 2], [1, 3, 2]),
([1, 3, 2], [2, 3, 1]),
([1, 3, 2], [2, 1, 1]),
([1, 3, 2], [1, 3, 1]),
([2, 1, 5], [2, 3, 1]),
([2, 0, 5], [2, 0, 1]),
([2, 3, 0], [2, 3, 1]),
]
for (xs, ys) in shapes:
x = np.random.randint(0, 2, np.prod(xs)).astype(np.bool).reshape(xs)
y = np.random.randint(0, 2, np.prod(ys)).astype(np.bool).reshape(ys)
for use_gpu in [True, False]:
self._compareBinary(x, y, np.logical_and, math_ops.logical_and, use_gpu)
self._compareBinary(x, y, np.logical_or, math_ops.logical_or, use_gpu)
self._compareBinary(x, y, np.logical_xor, math_ops.logical_xor, use_gpu)
|
|
10,873
|
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|
def _compare(self, c, x, y, use_gpu):
np_ans = np.where(c, x, y)
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
out = array_ops.where(c, x, y)
tf_ans = out.eval()
self.assertAllEqual(np_ans, tf_ans)
self.assertShapeEqual(np_ans, out)
|
|
10,874
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"_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "dtype", "value": {"_type": "Name", "_fields": {"id": "x", "ctx": {"_type": "Load", "_fields": {}}}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}]}}]}}], "name": "_compareGradientX", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _compareGradientX(self, c, x, y, numeric_gradient_type=None):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = array_ops.where(c, inx, iny)
s = list(np.shape(c))
jacob_t, jacob_n = gradient_checker.compute_gradient(
inx, s, out, s, x_init_value=x)
if numeric_gradient_type is not None:
xf = x.astype(numeric_gradient_type)
yf = y.astype(numeric_gradient_type)
inxf = ops.convert_to_tensor(xf)
inyf = ops.convert_to_tensor(yf)
outf = array_ops.where(c, inxf, inyf)
_, jacob_n = gradient_checker.compute_gradient(
inxf, s, outf, s, x_init_value=xf)
jacob_n = jacob_n.astype(x.dtype)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,875
|
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|
def _compareGradientY(self, c, x, y, numeric_gradient_type=None):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = array_ops.where(c, inx, iny)
s = list(np.shape(c))
jacob_t, jacob_n = gradient_checker.compute_gradient(
iny, s, out, s, x_init_value=y, delta=1.0)
if numeric_gradient_type is not None:
xf = x.astype(numeric_gradient_type)
yf = y.astype(numeric_gradient_type)
inxf = ops.convert_to_tensor(xf)
inyf = ops.convert_to_tensor(yf)
outf = array_ops.where(c, inxf, inyf)
_, jacob_n = gradient_checker.compute_gradient(
inyf, s, outf, s, x_init_value=yf)
jacob_n = jacob_n.astype(x.dtype)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,876
|
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|
def testScalar(self):
c = True
x = np.random.rand(1, 3, 2) * 100
y = np.random.rand(1, 3, 2) * 100
for t in [
np.float16, np.float32, np.float64, np.int32, np.int64, np.complex64,
np.complex128
]:
xt = x.astype(t)
yt = y.astype(t)
self._compare(c, xt, yt, use_gpu=False)
if t in [np.float16, np.float32, np.float64]:
self._compare(c, xt, yt, use_gpu=True)
|
|
10,877
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"_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "test": {"_type": "Compare", "_fields": {"ops": [{"_type": "Eq", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "yt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientX", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "yt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testGradients", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGradients(self):
c = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
x = np.random.rand(1, 3, 2) * 100
y = np.random.rand(1, 3, 2) * 100
for t in [np.float16, np.float32, np.float64]:
xt = x.astype(t)
yt = y.astype(t)
if t == np.float16:
# Compare fp16 theoretical gradients to fp32 numerical gradients,
# since fp16 numerical gradients are too imprecise unless great
# care is taken with choosing the inputs and the delta. This is
# a weaker check (in particular, it does not test the op itself,
# only its gradient), but it's much better than nothing.
self._compareGradientX(c, xt, yt, np.float)
self._compareGradientY(c, xt, yt, np.float)
else:
self._compareGradientX(c, xt, yt)
self._compareGradientY(c, xt, yt)
|
|
10,878
|
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[{"_type": "In", "_fields": {}}], "left": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Load", "_fields": {}}}}, "comparators": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}]}}, "orelse": []}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "int64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "complex64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "complex128", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testBasic", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testBasic(self):
c = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
x = np.random.rand(1, 3, 2) * 100
y = np.random.rand(1, 3, 2) * 100
for t in [
np.float16, np.float32, np.float64, np.int32, np.int64, np.complex64,
np.complex128
]:
xt = x.astype(t)
yt = y.astype(t)
self._compare(c, xt, yt, use_gpu=False)
if t in [np.float16, np.float32, np.float64]:
self._compare(c, xt, yt, use_gpu=True)
|
|
10,879
|
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"_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "yt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "where", "value": {"_type": "Name", "_fields": {"id": "array_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "z", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "z_expected", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "z", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "items": [{"_type": "withitem", "_fields": {"context_expr": {"_type": "Call", "_fields": {"args": [], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "cached_session", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "optional_vars": null}}], "type_comment": null}}], "name": "testEmptyTensor", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testEmptyTensor(self):
c = np.random.randint(0, 3, 0).astype(np.bool).reshape(1, 3, 0)
x = np.random.rand(1, 3, 0) * 100
y = np.random.rand(1, 3, 0) * 100
z_expected = np.zeros((1, 3, 0), dtype=np.float32)
with self.cached_session():
xt = x.astype(np.float32)
yt = y.astype(np.float32)
z = array_ops.where(c, xt, yt).eval()
self.assertAllEqual(z_expected, z)
|
|
10,880
|
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|
def testShapeMismatch(self):
c = np.random.randint(0, 2, 6).astype(np.bool).reshape(1, 3, 2)
x = np.random.rand(1, 3, 2) * 100
y = np.random.rand(2, 5, 3) * 100
for t in [
np.float16, np.float32, np.float64, np.int32, np.int64, np.complex64,
np.complex128
]:
xt = x.astype(t)
yt = y.astype(t)
with self.assertRaises(ValueError):
array_ops.where(c, xt, yt)
|
|
10,881
|
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def _compareGradientX(self, c, x, y, numeric_gradient_type=None):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = array_ops.where(c, inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
inx, s, out, s, x_init_value=x)
if numeric_gradient_type is not None:
xf = x.astype(numeric_gradient_type)
yf = y.astype(numeric_gradient_type)
inxf = ops.convert_to_tensor(xf)
inyf = ops.convert_to_tensor(yf)
outf = array_ops.where(c, inxf, inyf)
_, jacob_n = gradient_checker.compute_gradient(
inxf, s, outf, s, x_init_value=xf)
jacob_n = jacob_n.astype(x.dtype)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,882
|
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|
def _compare(self, c, x, y, use_gpu):
np_ans = np.dstack(
[x_i if c_i else y_i for c_i, x_i, y_i in zip(c, x, y)]).transpose(
[2, 0, 1])
with self.test_session(use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()):
out = array_ops.where(c, x, y)
tf_ans = out.eval()
self.assertAllEqual(np_ans, tf_ans)
self.assertShapeEqual(np_ans, out)
|
|
10,883
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|
def _compareGradientY(self, c, x, y, numeric_gradient_type=None):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = array_ops.where(c, inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
iny, s, out, s, x_init_value=y)
if numeric_gradient_type is not None:
xf = x.astype(numeric_gradient_type)
yf = y.astype(numeric_gradient_type)
inxf = ops.convert_to_tensor(xf)
inyf = ops.convert_to_tensor(yf)
outf = array_ops.where(c, inxf, inyf)
_, jacob_n = gradient_checker.compute_gradient(
inyf, s, outf, s, x_init_value=yf)
jacob_n = jacob_n.astype(x.dtype)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,884
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|
def testBasic(self):
c = np.random.randint(0, 2, 16).astype(np.bool)
x = np.random.rand(16, 2, 8) * 100
y = np.random.rand(16, 2, 8) * 100
for t in [
np.float16, np.float32, np.float64, np.int32, np.int64, np.complex64,
np.complex128
]:
xt = x.astype(t)
yt = y.astype(t)
self._compare(c, xt, yt, use_gpu=False)
if t in [np.float16, np.float32, np.float64]:
self._compare(c, xt, yt, use_gpu=True)
|
|
10,885
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|
def testShapeMismatch(self):
c = np.random.randint(0, 2, 8).astype(np.bool)
x = np.random.rand(16, 3, 2) * 100
y = np.random.rand(16, 3, 2) * 100
for t in [
np.float16, np.float32, np.float64, np.int32, np.int64, np.complex64,
np.complex128
]:
xt = x.astype(t)
yt = y.astype(t)
with self.assertRaises(ValueError):
array_ops.where(c, xt, yt)
|
|
10,886
|
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"float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [{"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "yt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientX", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "c", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "xt", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "yt", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}]}}], "iter": {"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float16", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float32", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": [], "target": {"_type": "Name", "_fields": {"id": "t", "ctx": {"_type": "Store", "_fields": {}}}}, "type_comment": null}}], "name": "testGradients", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGradients(self):
c = np.random.randint(0, 2, 16).astype(np.bool)
x = np.random.rand(16, 2, 8) * 100
y = np.random.rand(16, 2, 8) * 100
for t in [np.float16, np.float32, np.float64]:
xt = x.astype(t)
yt = y.astype(t)
if t == np.float16:
# Compare fp16 theoretical gradients to fp32 numerical gradients,
# since fp16 numerical gradients are too imprecise unless great
# care is taken with choosing the inputs and the delta. This is
# a weaker check (in particular, it does not test the op itself,
# only its gradient), but it's much better than nothing.
self._compareGradientX(c, xt, yt, np.float)
self._compareGradientY(c, xt, yt, np.float)
else:
self._compareGradientX(c, xt, yt)
self._compareGradientY(c, xt, yt)
|
|
10,887
|
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"Name", "_fields": {"id": "test_util", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}]}}}}]}}, "optional_vars": {"_type": "Name", "_fields": {"id": "sess", "ctx": {"_type": "Store", "_fields": {}}}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "np_min", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tf_min", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "np_max", "ctx": {"_type": "Load", "_fields": {}}}}, {"_type": "Name", "_fields": {"id": "tf_max", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertAllEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_compare", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _compare(self, x, y, use_gpu):
np_min, np_max = np.minimum(x, y), np.maximum(x, y)
with self.test_session(
use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()) as sess:
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
omin, omax = math_ops.minimum(inx, iny), math_ops.maximum(inx, iny)
tf_min, tf_max = sess.run([omin, omax])
self.assertAllEqual(np_min, tf_min)
self.assertAllEqual(np_max, tf_max)
|
|
10,888
|
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|
class MinMaxOpTest(test.TestCase):
def _compare(self, x, y, use_gpu):
np_min, np_max = np.minimum(x, y), np.maximum(x, y)
with self.test_session(
use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()) as sess:
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
omin, omax = math_ops.minimum(inx, iny), math_ops.maximum(inx, iny)
tf_min, tf_max = sess.run([omin, omax])
self.assertAllEqual(np_min, tf_min)
self.assertAllEqual(np_max, tf_max)
def testBasic(self):
x = np.random.rand(1, 3, 2) * 100.
y = np.random.rand(1, 3, 2) * 100.
for t in [np.float16, np.float32, np.float64, np.int32, np.int64]:
self._compare(x.astype(t), y.astype(t), use_gpu=False)
self._compare(x.astype(t), y.astype(t), use_gpu=True)
def testDifferentShapes(self):
x = np.random.rand(1, 3, 2) * 100.
y = np.random.rand(2) * 100. # should broadcast
for t in [np.float16, np.float32, np.float64, np.int32, np.int64]:
self._compare(x.astype(t), y.astype(t), use_gpu=False)
self._compare(x.astype(t), y.astype(t), use_gpu=True)
def testScalar(self):
x = np.random.rand(1, 3, 2) * 100.
y = np.asscalar(np.random.rand(1) * 100.) # should broadcast
# dropped np.float64, int64 because TF automatically converts to 32 bit
for t in [np.float32, np.int32]:
self._compare(x.astype(t), t(y), use_gpu=False)
self._compare(x.astype(t), t(y), use_gpu=True)
def _compareGradientX(self, func, x, y):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = func(inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
inx, s, out, s, x_init_value=x)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
def _compareGradientY(self, func, x, y):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = func(inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
iny, s, out, s, x_init_value=y)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
def testGradients(self):
x = np.random.rand(1, 3, 2) * 100.
# ensure x != y
y = x + (np.random.randint(2, size=x.shape) - .5) * 2 # -1 or +1
self._compareGradientX(math_ops.maximum, x, y)
self._compareGradientY(math_ops.maximum, x, y)
self._compareGradientX(math_ops.minimum, x, y)
self._compareGradientY(math_ops.minimum, x, y)
|
|
10,889
|
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] | 10
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|
def _compareGradientX(self, func, x, y):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = func(inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
inx, s, out, s, x_init_value=x)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,890
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] | 10
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{}}, "attr": "float64", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}]}}, "orelse": []}}]}}]}}], "name": "_compareGradientY", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _compareGradientY(self, func, x, y):
with self.cached_session():
inx = ops.convert_to_tensor(x)
iny = ops.convert_to_tensor(y)
out = func(inx, iny)
s = list(np.shape(x))
jacob_t, jacob_n = gradient_checker.compute_gradient(
iny, s, out, s, x_init_value=y)
if x.dtype == np.float16:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float32:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-3, atol=1e-3)
elif x.dtype == np.float64:
self.assertAllClose(jacob_t, jacob_n, rtol=1e-5, atol=1e-5)
|
|
10,891
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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": "BinOp", "_fields": {"op": {"_type": "Mult", "_fields": {}}, "left": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Constant", "_fields": {"kind": null, "value": 3}}, {"_type": "Constant", "_fields": {"kind": null, "value": 2}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "rand", "value": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "random", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, "keywords": []}}, 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{"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientX", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "maximum", "value": {"_type": "Name", "_fields": {"id": "math_ops", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_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": "_compareGradientY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Attribute", "_fields": {"ctx": {"_type": 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{"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareGradientY", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testGradients", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testGradients(self):
x = np.random.rand(1, 3, 2) * 100.
# ensure x != y
y = x + (np.random.randint(2, size=x.shape) - .5) * 2 # -1 or +1
self._compareGradientX(math_ops.maximum, x, y)
self._compareGradientY(math_ops.maximum, x, y)
self._compareGradientX(math_ops.minimum, x, y)
self._compareGradientY(math_ops.minimum, x, y)
|
|
10,892
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|
class MathOpsOverloadTest(test.TestCase):
def _computeTensorAndLiteral(self, x, y, dtype, func):
with self.test_session(use_gpu=False):
inx = ops.convert_to_tensor(x, dtype=dtype)
z = func(inx, y) # Should use __add__, __sub__, etc.
return z.eval()
def _computeLiteralAndTensor(self, x, y, dtype, func):
with self.test_session(use_gpu=False):
iny = ops.convert_to_tensor(y, dtype=dtype)
z = func(x, iny) # Should use __radd__, __rsub__, etc.
return z.eval()
def _compareBinary(self, x, y, dtype, np_func, tf_func):
np_ans = np_func(x, y).astype(dtype.as_numpy_dtype)
self.assertAllClose(np_ans,
self._computeTensorAndLiteral(x, y, dtype, tf_func))
self.assertAllClose(np_ans,
self._computeLiteralAndTensor(x, y, dtype, tf_func))
def _compareUnary(self, x, dtype, np_func, tf_func):
np_ans = np_func(x).astype(dtype.as_numpy_dtype)
with self.test_session(use_gpu=False):
self.assertAllClose(np_ans,
tf_func(ops.convert_to_tensor(x, dtype=dtype)).eval())
def testOverload(self):
dtypes = [
dtypes_lib.float16,
dtypes_lib.float32,
dtypes_lib.float64,
dtypes_lib.int32,
dtypes_lib.int64,
dtypes_lib.complex64,
dtypes_lib.complex128,
]
funcs = [
(np.add, _ADD),
(np.subtract, _SUB),
(np.multiply, _MUL),
(np.power, _POW),
(np.true_divide, _TRUEDIV),
(np.floor_divide, _FLOORDIV),
]
for dtype in dtypes:
for np_func, tf_func in funcs:
if dtype in (dtypes_lib.complex64,
dtypes_lib.complex128) and tf_func == _FLOORDIV:
continue # floordiv makes no sense for complex
self._compareBinary(10, 5, dtype, np_func, tf_func)
# Mod only works for int32 and int64.
for dtype in [dtypes_lib.int32, dtypes_lib.int64]:
self._compareBinary(10, 3, dtype, np.mod, _MOD)
def testOverloadComparisons(self):
dtypes = [
dtypes_lib.float16,
dtypes_lib.float32,
dtypes_lib.float64,
dtypes_lib.int32,
dtypes_lib.int64,
]
funcs = [
(np.less, _LT),
(np.less_equal, _LE),
(np.greater, _GT),
(np.greater_equal, _GE),
]
for dtype in dtypes:
for np_func, tf_func in funcs:
self._compareBinary(10, 5, dtype, np_func, tf_func)
logical_funcs = [(np.logical_and, _AND), (np.logical_or, _OR),
(np.logical_xor, _XOR), (np.equal, math_ops.equal),
(np.not_equal, math_ops.not_equal)]
for np_func, tf_func in logical_funcs:
self._compareBinary(True, False, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(True, True, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(False, False, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(False, True, dtypes_lib.bool, np_func, tf_func)
self._compareBinary([True, True, False, False],
[True, False, True, False], dtypes_lib.bool, np_func,
tf_func)
self._compareUnary(True, dtypes_lib.bool, np.logical_not, _INV)
self._compareUnary(False, dtypes_lib.bool, np.logical_not, _INV)
self._compareUnary([True, False], dtypes_lib.bool, np.logical_not, _INV)
|
|
10,893
|
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0.033173494040966034,
0.009697065688669682,
-0.019690321758389473,
0.01972895674407482
] | 11
|
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|
def testOverload(self):
dtypes = [
dtypes_lib.float16,
dtypes_lib.float32,
dtypes_lib.float64,
dtypes_lib.int32,
dtypes_lib.int64,
dtypes_lib.complex64,
dtypes_lib.complex128,
]
funcs = [
(np.add, _ADD),
(np.subtract, _SUB),
(np.multiply, _MUL),
(np.power, _POW),
(np.true_divide, _TRUEDIV),
(np.floor_divide, _FLOORDIV),
]
for dtype in dtypes:
for np_func, tf_func in funcs:
if dtype in (dtypes_lib.complex64,
dtypes_lib.complex128) and tf_func == _FLOORDIV:
continue # floordiv makes no sense for complex
self._compareBinary(10, 5, dtype, np_func, tf_func)
# Mod only works for int32 and int64.
for dtype in [dtypes_lib.int32, dtypes_lib.int64]:
self._compareBinary(10, 3, dtype, np.mod, _MOD)
|
|
10,894
|
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"_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Constant", "_fields": {"kind": null, "value": false}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bool", "value": {"_type": "Name", "_fields": {"id": "dtypes_lib", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logical_not", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "_INV", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareUnary", "value": {"_type": "Name", "_fields": {"id": "self", "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": true}}, {"_type": "Constant", "_fields": {"kind": null, "value": false}}]}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "bool", "value": {"_type": "Name", "_fields": {"id": "dtypes_lib", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "logical_not", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Name", "_fields": {"id": "_INV", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compareUnary", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "testOverloadComparisons", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def testOverloadComparisons(self):
dtypes = [
dtypes_lib.float16,
dtypes_lib.float32,
dtypes_lib.float64,
dtypes_lib.int32,
dtypes_lib.int64,
]
funcs = [
(np.less, _LT),
(np.less_equal, _LE),
(np.greater, _GT),
(np.greater_equal, _GE),
]
for dtype in dtypes:
for np_func, tf_func in funcs:
self._compareBinary(10, 5, dtype, np_func, tf_func)
logical_funcs = [(np.logical_and, _AND), (np.logical_or, _OR),
(np.logical_xor, _XOR), (np.equal, math_ops.equal),
(np.not_equal, math_ops.not_equal)]
for np_func, tf_func in logical_funcs:
self._compareBinary(True, False, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(True, True, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(False, False, dtypes_lib.bool, np_func, tf_func)
self._compareBinary(False, True, dtypes_lib.bool, np_func, tf_func)
self._compareBinary([True, True, False, False],
[True, False, True, False], dtypes_lib.bool, np_func,
tf_func)
self._compareUnary(True, dtypes_lib.bool, np.logical_not, _INV)
self._compareUnary(False, dtypes_lib.bool, np.logical_not, _INV)
self._compareUnary([True, False], dtypes_lib.bool, np.logical_not, _INV)
|
|
10,895
|
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"name": "IsFiniteInfNanTest", "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 IsFiniteInfNanTest(test.TestCase):
def _compare(self, x, use_gpu):
np_finite, np_inf, np_nan = np.isfinite(x), np.isinf(x), np.isnan(x)
with self.test_session(
use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()) as sess:
inx = ops.convert_to_tensor(x)
ofinite, oinf, onan = math_ops.is_finite(inx), math_ops.is_inf(
inx), math_ops.is_nan(inx)
tf_finite, tf_inf, tf_nan = sess.run([ofinite, oinf, onan])
self.assertAllEqual(np_inf, tf_inf)
self.assertAllEqual(np_nan, tf_nan)
self.assertAllEqual(np_finite, tf_finite)
self.assertShapeEqual(np_inf, oinf)
self.assertShapeEqual(np_nan, onan)
self.assertShapeEqual(np_finite, ofinite)
def _testDtype(self, dtype):
fi = np.finfo(dtype)
data = np.array([
0, -1, 1, fi.resolution, -fi.resolution, fi.min, fi.max, -np.inf,
np.inf, np.nan
]).astype(dtype)
self._compare(data, use_gpu=False)
self._compare(data, use_gpu=True)
def testHalf(self):
self._testDtype(np.float16)
def testFloat(self):
self._testDtype(np.float32)
def testDouble(self):
self._testDtype(np.float64)
def testSqrt(self):
for dtype in [np.float16, np.float32, np.float64]:
fi = np.finfo(dtype)
for size in [1, 3, 4, 7, 8, 63, 64, 65]:
# For float32 Eigen uses Carmack's fast vectorized sqrt algorithm.
# It is not accurate for very large arguments, so we test for
# fi.max/100 instead of fi.max here.
for value in [fi.min, -2, -1, 0, fi.tiny, 1, 2, 1000, fi.max / 100]:
x = np.full((size,), value, dtype=dtype)
np_y = np.sqrt(x)
np_nan = np.isnan(np_y)
with self.test_session(force_gpu=test_util.is_gpu_available()):
tf_y = math_ops.sqrt(x)
tf_nan = math_ops.is_nan(tf_y)
if value < 0:
self.assertAllEqual(np_nan, tf_nan.eval())
else:
self.assertAllCloseAccordingToType(np_y, tf_y.eval())
|
|
10,896
|
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"ofinite", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "assertShapeEqual", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}}}], "name": "_compare", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _compare(self, x, use_gpu):
np_finite, np_inf, np_nan = np.isfinite(x), np.isinf(x), np.isnan(x)
with self.test_session(
use_gpu=use_gpu,
force_gpu=use_gpu and test_util.is_gpu_available()) as sess:
inx = ops.convert_to_tensor(x)
ofinite, oinf, onan = math_ops.is_finite(inx), math_ops.is_inf(
inx), math_ops.is_nan(inx)
tf_finite, tf_inf, tf_nan = sess.run([ofinite, oinf, onan])
self.assertAllEqual(np_inf, tf_inf)
self.assertAllEqual(np_nan, tf_nan)
self.assertAllEqual(np_finite, tf_finite)
self.assertShapeEqual(np_inf, oinf)
self.assertShapeEqual(np_nan, onan)
self.assertShapeEqual(np_finite, ofinite)
|
|
10,897
|
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|
def testSqrt(self):
for dtype in [np.float16, np.float32, np.float64]:
fi = np.finfo(dtype)
for size in [1, 3, 4, 7, 8, 63, 64, 65]:
# For float32 Eigen uses Carmack's fast vectorized sqrt algorithm.
# It is not accurate for very large arguments, so we test for
# fi.max/100 instead of fi.max here.
for value in [fi.min, -2, -1, 0, fi.tiny, 1, 2, 1000, fi.max / 100]:
x = np.full((size,), value, dtype=dtype)
np_y = np.sqrt(x)
np_nan = np.isnan(np_y)
with self.test_session(force_gpu=test_util.is_gpu_available()):
tf_y = math_ops.sqrt(x)
tf_nan = math_ops.is_nan(tf_y)
if value < 0:
self.assertAllEqual(np_nan, tf_nan.eval())
else:
self.assertAllCloseAccordingToType(np_y, tf_y.eval())
|
|
10,898
|
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] | 11
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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": "dtype", "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": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "finfo", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Assign", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "dtype", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "astype", "value": {"_type": "Call", "_fields": {"args": [{"_type": "List", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "elts": [{"_type": "Constant", "_fields": {"kind": null, "value": 0}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Constant", "_fields": {"kind": null, "value": 1}}}}, {"_type": "Constant", "_fields": {"kind": null, "value": 1}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "resolution", "value": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "resolution", "value": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "min", "value": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "max", "value": {"_type": "Name", "_fields": {"id": "fi", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "UnaryOp", "_fields": {"op": {"_type": "USub", "_fields": {}}, "operand": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inf", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "inf", "value": {"_type": "Name", "_fields": {"id": "np", "ctx": {"_type": "Load", "_fields": {}}}}}}, {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "nan", "value": {"_type": "Name", "_fields": {"id": "np", "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": []}}}}, "keywords": []}}, "targets": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Store", "_fields": {}}}}], "type_comment": null}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compare", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": false}}}}]}}}}, {"_type": "Expr", "_fields": {"value": {"_type": "Call", "_fields": {"args": [{"_type": "Name", "_fields": {"id": "data", "ctx": {"_type": "Load", "_fields": {}}}}], "func": {"_type": "Attribute", "_fields": {"ctx": {"_type": "Load", "_fields": {}}, "attr": "_compare", "value": {"_type": "Name", "_fields": {"id": "self", "ctx": {"_type": "Load", "_fields": {}}}}}}, "keywords": [{"_type": "keyword", "_fields": {"arg": "use_gpu", "value": {"_type": "Constant", "_fields": {"kind": null, "value": true}}}}]}}}}], "name": "_testDtype", "returns": null, "type_params": [], "type_comment": null, "decorator_list": []}}], "type_ignores": []}}
|
def _testDtype(self, dtype):
fi = np.finfo(dtype)
data = np.array([
0, -1, 1, fi.resolution, -fi.resolution, fi.min, fi.max, -np.inf,
np.inf, np.nan
]).astype(dtype)
self._compare(data, use_gpu=False)
self._compare(data, use_gpu=True)
|
|
10,899
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|
def _compare(self, x):
np_floor, np_ceil = np.floor(x), np.ceil(x)
with self.cached_session() as sess:
inx = ops.convert_to_tensor(x)
ofloor, oceil = math_ops.floor(inx), math_ops.ceil(inx)
tf_floor, tf_ceil = sess.run([ofloor, oceil])
self.assertAllEqual(np_floor, tf_floor)
self.assertAllEqual(np_ceil, tf_ceil)
self.assertShapeEqual(np_floor, ofloor)
self.assertShapeEqual(np_ceil, oceil)
|
|
10,900
|
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class RoundingTest(test.TestCase):
def _compare_values(self, x, y=None):
y = np.rint(x) if y is None else np.asarray(y)
with self.cached_session() as sess:
tf_rint = math_ops.rint(x)
np_rint = sess.run(tf_rint)
self.assertAllEqual(y, np_rint)
self.assertShapeEqual(y, tf_rint)
def _compare(self, x):
np_floor, np_ceil = np.floor(x), np.ceil(x)
with self.cached_session() as sess:
inx = ops.convert_to_tensor(x)
ofloor, oceil = math_ops.floor(inx), math_ops.ceil(inx)
tf_floor, tf_ceil = sess.run([ofloor, oceil])
self.assertAllEqual(np_floor, tf_floor)
self.assertAllEqual(np_ceil, tf_ceil)
self.assertShapeEqual(np_floor, ofloor)
self.assertShapeEqual(np_ceil, oceil)
def _testDtype(self, dtype):
data = (np.arange(-3, 3) / 4.).reshape(1, 3, 2).astype(dtype)
self._compare(data)
# TODO: rint op is not supported for float16
if dtype is np.float16:
return
self._compare_values(data)
x = [0.5, 0.5000001]
y = [0.0, 1.0]
self._compare_values(x, y=y)
# numpy example
x = [-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]
y = [-2., -2., -0., 0., 2., 2., 2.]
self._compare_values(x, y=y)
def testTypes(self):
for dtype in [np.float16, np.float32, np.float64]:
self._testDtype(dtype)
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