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729,748 | minidir | write | null | def write(self, content: bytes) -> None:
pass
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729,749 | minidir | NameCollision | NameCollision is the error that try to create a file with invalid path. | class NameCollision(Exception):
"""NameCollision is the error that try to create a file with invalid path."""
pass
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] |
729,750 | minidir | NotFound | NotFound is the error that there is no file for some path. | class NotFound(Exception):
"""NotFound is the error that there is no file for some path."""
pass
| null | [
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729,751 | minidir | Path | Path is a interface that represent the path and name of some file. | class Path(typing.Protocol):
"""Path is a interface that represent the path and name of some file."""
def __hash__(self) -> int:
pass
def __eq__(self, other) -> bool:
pass
def __str__(self) -> str:
pass
def parent(self) -> str:
pass
def base(self) -> str:
pass
| (*args, **kwargs) | [
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729,752 | minidir | __eq__ | null | def __eq__(self, other) -> bool:
pass
| (self, other) -> bool | [
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729,753 | minidir | __hash__ | null | def __hash__(self) -> int:
pass
| (self) -> int | [
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729,755 | minidir | __str__ | null | def __str__(self) -> str:
pass
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729,757 | minidir | base | null | def base(self) -> str:
pass
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729,758 | minidir | parent | null | def parent(self) -> str:
pass
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729,759 | minidir | SomePath | null | class SomePath:
_path: pathlib.PurePath
def __init__(self, path: str) -> None:
self._path = pathlib.PurePath(path)
self._path.__hash__
def __hash__(self) -> int:
return hash(self._path)
def __eq__(self, other) -> bool:
if not isinstance(other, SomePath):
return NotImplemented
return self._path == other._path
def __str__(self) -> str:
return str(self._path)
def parent(self) -> str:
return str(self._path.parent)
def base(self) -> str:
return self._path.name
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729,760 | minidir | __eq__ | null | def __eq__(self, other) -> bool:
if not isinstance(other, SomePath):
return NotImplemented
return self._path == other._path
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729,761 | minidir | __hash__ | null | def __hash__(self) -> int:
return hash(self._path)
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729,762 | minidir | __init__ | null | def __init__(self, path: str) -> None:
self._path = pathlib.PurePath(path)
self._path.__hash__
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729,763 | minidir | __str__ | null | def __str__(self) -> str:
return str(self._path)
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729,764 | minidir | base | null | def base(self) -> str:
return self._path.name
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729,765 | minidir | parent | null | def parent(self) -> str:
return str(self._path.parent)
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729,766 | minidir | SystemDirectory | SystemDirectory is a Directory implementation for real file system. | class SystemDirectory:
"""SystemDirectory is a Directory implementation for real file system."""
_root: str
_file_paths: typing.Set[str]
def __init__(self, root: str):
self._root = root
self._file_paths = set()
for dir_path, _, files in os.walk(root):
for file in files:
self._file_paths.add(os.path.join(dir_path, file))
def __iter__(self) -> typing.Iterator[Path]:
paths: typing.List[Path] = []
for file_path in self._file_paths:
relative = pathlib.PurePath(file_path).relative_to(self._root)
paths.append(SomePath(str(relative)))
return iter(paths)
def create(self, path: Path) -> File:
self._ensure_folder(path)
try:
with open(self._to_full_path(path), "xb") as _:
pass
except FileExistsError:
raise NameCollision()
if self._to_full_path(path) in self._file_paths:
raise NameCollision()
self._file_paths.add(self._to_full_path(path))
return _SystemFile(self._to_full_path(path))
def remove(self, path: Path) -> None:
try:
os.remove(self._to_full_path(path))
except FileNotFoundError:
raise NotFound()
self._file_paths.remove(self._to_full_path(path))
def get(self, path: Path) -> File:
if self._to_full_path(path) not in self._file_paths:
raise NotFound()
self._file_paths.add(self._to_full_path(path))
return _SystemFile(self._to_full_path(path))
def _to_full_path(self, path: Path) -> str:
return os.path.join(self._root, str(path))
def _ensure_folder(self, path: Path) -> None:
path_object = pathlib.PurePath(os.path.join(self._root, str(path)))
os.makedirs(path_object.parent, exist_ok=True)
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729,767 | minidir | __init__ | null | def __init__(self, root: str):
self._root = root
self._file_paths = set()
for dir_path, _, files in os.walk(root):
for file in files:
self._file_paths.add(os.path.join(dir_path, file))
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729,768 | minidir | __iter__ | null | def __iter__(self) -> typing.Iterator[Path]:
paths: typing.List[Path] = []
for file_path in self._file_paths:
relative = pathlib.PurePath(file_path).relative_to(self._root)
paths.append(SomePath(str(relative)))
return iter(paths)
| (self) -> Iterator[minidir.Path] | [
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729,769 | minidir | _ensure_folder | null | def _ensure_folder(self, path: Path) -> None:
path_object = pathlib.PurePath(os.path.join(self._root, str(path)))
os.makedirs(path_object.parent, exist_ok=True)
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729,770 | minidir | _to_full_path | null | def _to_full_path(self, path: Path) -> str:
return os.path.join(self._root, str(path))
| (self, path: minidir.Path) -> str | [
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729,771 | minidir | create | null | def create(self, path: Path) -> File:
self._ensure_folder(path)
try:
with open(self._to_full_path(path), "xb") as _:
pass
except FileExistsError:
raise NameCollision()
if self._to_full_path(path) in self._file_paths:
raise NameCollision()
self._file_paths.add(self._to_full_path(path))
return _SystemFile(self._to_full_path(path))
| (self, path: minidir.Path) -> minidir.File | [
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729,772 | minidir | get | null | def get(self, path: Path) -> File:
if self._to_full_path(path) not in self._file_paths:
raise NotFound()
self._file_paths.add(self._to_full_path(path))
return _SystemFile(self._to_full_path(path))
| (self, path: minidir.Path) -> minidir.File | [
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729,773 | minidir | remove | null | def remove(self, path: Path) -> None:
try:
os.remove(self._to_full_path(path))
except FileNotFoundError:
raise NotFound()
self._file_paths.remove(self._to_full_path(path))
| (self, path: minidir.Path) -> NoneType | [
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729,774 | minidir | _FakeDirectoryFile | null | class _FakeDirectoryFile:
_dir: typing.Dict[str, bytes]
_path: str
def __init__(self, dir: typing.Dict[str, bytes], path: str) -> None:
self._dir = dir
self._path = path
def read(self) -> bytes:
return self._dir[self._path]
def write(self, content: bytes) -> None:
self._dir[self._path] = content
| (dir: Dict[str, bytes], path: str) -> None | [
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729,775 | minidir | __init__ | null | def __init__(self, dir: typing.Dict[str, bytes], path: str) -> None:
self._dir = dir
self._path = path
| (self, dir: Dict[str, bytes], path: str) -> NoneType | [
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729,776 | minidir | read | null | def read(self) -> bytes:
return self._dir[self._path]
| (self) -> bytes | [
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729,777 | minidir | write | null | def write(self, content: bytes) -> None:
self._dir[self._path] = content
| (self, content: bytes) -> NoneType | [
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729,778 | minidir | _SystemFile | null | class _SystemFile:
_path: str
def __init__(self, path: str):
self._path = path
def read(self) -> bytes:
with open(self._path, "rb") as file_:
return file_.read()
def write(self, content: bytes) -> None:
with open(self._path, "wb") as file_:
file_.write(content)
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729,780 | minidir | read | null | def read(self) -> bytes:
with open(self._path, "rb") as file_:
return file_.read()
| (self) -> bytes | [
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729,781 | minidir | write | null | def write(self, content: bytes) -> None:
with open(self._path, "wb") as file_:
file_.write(content)
| (self, content: bytes) -> NoneType | [
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729,785 | yake.yake | KeywordExtractor | null | class KeywordExtractor(object):
def __init__(self, lan="en", n=3, dedupLim=0.9, dedupFunc='seqm', windowsSize=1, top=20, features=None, stopwords=None):
self.lan = lan
dir_path = os.path.dirname(os.path.realpath(__file__))
local_path = os.path.join("StopwordsList", "stopwords_%s.txt" % lan[:2].lower())
if os.path.exists(os.path.join(dir_path,local_path)) == False:
local_path = os.path.join("StopwordsList", "stopwords_noLang.txt")
resource_path = os.path.join(dir_path,local_path)
if stopwords is None:
try:
with open(resource_path, encoding='utf-8') as stop_fil:
self.stopword_set = set( stop_fil.read().lower().split("\n") )
except:
print('Warning, read stopword list as ISO-8859-1')
with open(resource_path, encoding='ISO-8859-1') as stop_fil:
self.stopword_set = set( stop_fil.read().lower().split("\n") )
else:
self.stopword_set = set(stopwords)
self.n = n
self.top = top
self.dedupLim = dedupLim
self.features = features
self.windowsSize = windowsSize
if dedupFunc == 'jaro_winkler' or dedupFunc == 'jaro':
self.dedu_function = self.jaro
elif dedupFunc.lower() == 'sequencematcher' or dedupFunc.lower() == 'seqm':
self.dedu_function = self.seqm
else:
self.dedu_function = self.levs
def jaro(self, cand1, cand2):
return jellyfish.jaro_winkler(cand1, cand2 )
def levs(self, cand1, cand2):
return 1.-jellyfish.levenshtein_distance(cand1, cand2 ) / max(len(cand1),len(cand2))
def seqm(self, cand1, cand2):
return Levenshtein.ratio(cand1, cand2)
def extract_keywords(self, text):
try:
if not(len(text) > 0):
return []
text = text.replace('\n\t',' ')
dc = DataCore(text=text, stopword_set=self.stopword_set, windowsSize=self.windowsSize, n=self.n)
dc.build_single_terms_features(features=self.features)
dc.build_mult_terms_features(features=self.features)
resultSet = []
todedup = sorted([cc for cc in dc.candidates.values() if cc.isValid()], key=lambda c: c.H)
if self.dedupLim >= 1.:
return ([ (cand.H, cand.unique_kw) for cand in todedup])[:self.top]
for cand in todedup:
toadd = True
for (h, candResult) in resultSet:
dist = self.dedu_function(cand.unique_kw, candResult.unique_kw)
if dist > self.dedupLim:
toadd = False
break
if toadd:
resultSet.append( (cand.H, cand) )
if len(resultSet) == self.top:
break
return [ (cand.kw,h) for (h,cand) in resultSet]
except Exception as e:
print(f"Warning! Exception: {e} generated by the following text: '{text}' ")
return []
| (lan='en', n=3, dedupLim=0.9, dedupFunc='seqm', windowsSize=1, top=20, features=None, stopwords=None) | [
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729,786 | yake.yake | __init__ | null | def __init__(self, lan="en", n=3, dedupLim=0.9, dedupFunc='seqm', windowsSize=1, top=20, features=None, stopwords=None):
self.lan = lan
dir_path = os.path.dirname(os.path.realpath(__file__))
local_path = os.path.join("StopwordsList", "stopwords_%s.txt" % lan[:2].lower())
if os.path.exists(os.path.join(dir_path,local_path)) == False:
local_path = os.path.join("StopwordsList", "stopwords_noLang.txt")
resource_path = os.path.join(dir_path,local_path)
if stopwords is None:
try:
with open(resource_path, encoding='utf-8') as stop_fil:
self.stopword_set = set( stop_fil.read().lower().split("\n") )
except:
print('Warning, read stopword list as ISO-8859-1')
with open(resource_path, encoding='ISO-8859-1') as stop_fil:
self.stopword_set = set( stop_fil.read().lower().split("\n") )
else:
self.stopword_set = set(stopwords)
self.n = n
self.top = top
self.dedupLim = dedupLim
self.features = features
self.windowsSize = windowsSize
if dedupFunc == 'jaro_winkler' or dedupFunc == 'jaro':
self.dedu_function = self.jaro
elif dedupFunc.lower() == 'sequencematcher' or dedupFunc.lower() == 'seqm':
self.dedu_function = self.seqm
else:
self.dedu_function = self.levs
| (self, lan='en', n=3, dedupLim=0.9, dedupFunc='seqm', windowsSize=1, top=20, features=None, stopwords=None) | [
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729,787 | yake.yake | extract_keywords | null | def extract_keywords(self, text):
try:
if not(len(text) > 0):
return []
text = text.replace('\n\t',' ')
dc = DataCore(text=text, stopword_set=self.stopword_set, windowsSize=self.windowsSize, n=self.n)
dc.build_single_terms_features(features=self.features)
dc.build_mult_terms_features(features=self.features)
resultSet = []
todedup = sorted([cc for cc in dc.candidates.values() if cc.isValid()], key=lambda c: c.H)
if self.dedupLim >= 1.:
return ([ (cand.H, cand.unique_kw) for cand in todedup])[:self.top]
for cand in todedup:
toadd = True
for (h, candResult) in resultSet:
dist = self.dedu_function(cand.unique_kw, candResult.unique_kw)
if dist > self.dedupLim:
toadd = False
break
if toadd:
resultSet.append( (cand.H, cand) )
if len(resultSet) == self.top:
break
return [ (cand.kw,h) for (h,cand) in resultSet]
except Exception as e:
print(f"Warning! Exception: {e} generated by the following text: '{text}' ")
return []
| (self, text) | [
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] |
729,788 | yake.yake | jaro | null | def jaro(self, cand1, cand2):
return jellyfish.jaro_winkler(cand1, cand2 )
| (self, cand1, cand2) | [
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] |
729,789 | yake.yake | levs | null | def levs(self, cand1, cand2):
return 1.-jellyfish.levenshtein_distance(cand1, cand2 ) / max(len(cand1),len(cand2))
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729,790 | yake.yake | seqm | null | def seqm(self, cand1, cand2):
return Levenshtein.ratio(cand1, cand2)
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729,794 | touca._client | Client | class Client:
""" """
@classmethod
def instance(cls):
if not hasattr(cls, "_instance"):
cls._instance = cls()
return cls._instance
def __init__(self) -> None:
self._cases: Dict[str, Case] = dict()
self._configured = False
self._configuration_error = str()
self._options: Dict[str, Any] = dict()
self._threads_case = str()
self._threads_cases: Dict[int, str] = dict()
self._transport = Transport()
self._type_handler = TypeHandler()
def _active_testcase_name(self) -> Optional[str]:
if not self._configured:
return None
if self._options.get("concurrency"):
return self._threads_case
return self._threads_cases.get(get_ident())
def _prepare_save(self, path: str, cases) -> List[Case]:
from pathlib import Path
Path(path).parent.mkdir(parents=True, exist_ok=True)
if cases:
return [self._cases[x] for x in self._cases if x in cases]
return list(self._cases.values())
def _post(self, path: str, body, headers: Dict[str, str] = {}):
response = self._transport.request(
method="POST",
path=path,
body=body,
content_type="application/octet-stream",
extra_headers=headers,
)
if response.status == 204:
return
if response.status == 200:
return response.data.decode("utf-8")
reason = ""
if response.status == 400:
error = response.data.decode("utf-8")
if "batch is sealed" in error:
reason = " This version is already submitted and sealed."
if "team not found" in error:
reason = " This team does not exist."
raise ToucaError("transport_post", reason)
def configure(self, **kwargs) -> bool:
"""
Configures the Touca client. Must be called before declaring test cases
and adding results to the client. Should be regarded as a potentially
expensive operation. Should be called only from your test environment.
:py:meth:`~configure` takes a variety of configuration parameters
documented below. All of these parameters are optional. Calling this
function without any parameters is possible: the client can capture
behavior and performance data and store them on a local filesystem
but it will not be able to post them to the Touca server.
In most cases, You will need to pass API Key and API URL during the
configuration. The code below shows the common pattern in which API URL
is given in long format (it includes the team slug and the suite slug)
and API Key as well as the version of the code under test are specified
as environment variables ``TOUCA_API_KEY`` and ``TOUCA_TEST_VERSION``,
respectively::
touca.configure(api_url='https://api.touca.io/@/acme/students')
As long as the API Key and API URL to the Touca server are known to
the client, it attempts to authenticate with the Touca Server. You
can explicitly disable this communication in rare cases by setting
configuration option ``offline`` to ``False``.
You can call :py:meth:`~configure` any number of times. The client
preserves the configuration parameters specified in previous calls to
this function.
:type api_key: str, optional
:param api_key:
(optional) API Key issued by the Touca server that
identifies who is submitting the data. Since the value should be
treated as a secret, we recommend that you pass it as an environment
variable ``TOUCA_API_KEY`` instead.
:type api_url: str, optional
:param api_url:
(optional) URL to the Touca server API.
Can be provided either in long format like
``https://api.touca.io/@/myteam/mysuite/version``
or in short format like ``https://api.touca.io``.
If the team, suite, or version are specified, you do not need to
specify them separately.
:type team: str, optional
:param team:
(optional) slug of your team on the Touca server.
:type suite: str, optional
:param suite:
slug of the suite on the Touca server that corresponds to your
workflow under test.
:type version: str, optional
:param version:
version of your workflow under test.
:type offline: bool, optional
:param offline:
determines whether client should connect with the Touca server
during the configuration. Defaults to ``False`` when ``api_url``
or ``api_key`` are provided.
:type concurrency: bool, optional
:param concurrency:
determines whether the scope of test case declaration is bound to
the thread performing the declaration, or covers all other threads.
Defaults to ``True``.
If set to ``True``, when a thread calls :py:meth:`~declare_testcase`,
all other threads also have their most recent test case changed to
the newly declared test case and any subsequent call to data
capturing functions such as :py:meth:`~check`
will affect the newly declared test case.
"""
from touca._options import assign_options, update_core_options
self._configuration_error = ""
try:
assign_options(self._options, kwargs)
self._configured = update_core_options(self._options, self._transport)
except RuntimeError as err:
self._configuration_error = str(err)
return False
return True
def is_configured(self) -> bool:
"""
Checks if previous call(s) to :py:meth:`~configure` have set the right
combination of configuration parameters to enable the client to perform
expected tasks.
We recommend that you perform this check after client configuration and
before calling other functions of the library::
if not touca.is_configured():
print(touca.configuration_error())
sys.exit(1)
At a minimum, the client is considered configured if it can capture
test results and store them locally on the filesystem. A single call
to :py:meth:`~configure` without any configuration parameters can help
us get to this state. However, if a subsequent call to :py:meth:`~configure`
sets the parameter ``api_url`` in short form without specifying
parameters such as ``team``, ``suite`` and ``version``, the client
configuration is incomplete: We infer that the user intends to submit
results but the provided configuration parameters are not sufficient
to perform this operation.
:return: ``True`` if the client is properly configured
:rtype: bool
:see also: :py:meth:`~configure`
"""
return self._configured
def configuration_error(self) -> str:
"""
Provides the most recent error, if any, that is encountered during
client configuration.
:return: short description of the most recent configuration error
:rtype: str
"""
return self._configuration_error
def declare_testcase(self, name: str):
"""
Declares name of the test case to which all subsequent results will be
submitted until a new test case is declared.
If configuration parameter ``concurrency`` is set to ``"enabled"``, when
a thread calls `declare_testcase` all other threads also have their most
recent testcase changed to the newly declared one. Otherwise, each
thread will submit to its own testcase.
:param name:
name of the testcase to be declared
"""
if not self._configured:
return
if name not in self._cases:
self._cases[name] = Case(
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|
729,795 | touca._client | __init__ | null | def __init__(self) -> None:
self._cases: Dict[str, Case] = dict()
self._configured = False
self._configuration_error = str()
self._options: Dict[str, Any] = dict()
self._threads_case = str()
self._threads_cases: Dict[int, str] = dict()
self._transport = Transport()
self._type_handler = TypeHandler()
| (self) -> NoneType | [
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729,796 | touca._client | _active_testcase_name | null | def _active_testcase_name(self) -> Optional[str]:
if not self._configured:
return None
if self._options.get("concurrency"):
return self._threads_case
return self._threads_cases.get(get_ident())
| (self) -> Optional[str] | [
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729,797 | touca._client | _post | null | def _post(self, path: str, body, headers: Dict[str, str] = {}):
response = self._transport.request(
method="POST",
path=path,
body=body,
content_type="application/octet-stream",
extra_headers=headers,
)
if response.status == 204:
return
if response.status == 200:
return response.data.decode("utf-8")
reason = ""
if response.status == 400:
error = response.data.decode("utf-8")
if "batch is sealed" in error:
reason = " This version is already submitted and sealed."
if "team not found" in error:
reason = " This team does not exist."
raise ToucaError("transport_post", reason)
| (self, path: str, body, headers: Dict[str, str] = {}) | [
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729,798 | touca._client | _prepare_save | null | def _prepare_save(self, path: str, cases) -> List[Case]:
from pathlib import Path
Path(path).parent.mkdir(parents=True, exist_ok=True)
if cases:
return [self._cases[x] for x in self._cases if x in cases]
return list(self._cases.values())
| (self, path: str, cases) -> List[touca._case.Case] | [
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729,799 | touca._client | add_array_element | Adds a given value to a list of results for the declared
test case which is associated with the specified key.
Could be considered as a helper utility function.
This method is particularly helpful to log a list of items as they
are found:
.. code-block:: python
for number in numbers:
if is_prime(number):
touca.add_array_element("prime numbers", number)
touca.add_hit_count("number of primes")
This pattern can be considered as a syntactic sugar for the following
alternative:
.. code-block:: python
primes = []
for number in numbers:
if is_prime(number):
primes.append(number)
if primes:
touca.check("prime numbers", primes)
touca.check("number of primes", len(primes))
The items added to the list are not required to be of the same type.
The following code is acceptable:
.. code-block:: python
touca.check("prime numbers", 42)
touca.check("prime numbers", "forty three")
:raises RuntimeError:
if specified key is already associated with
a test result which was not iterable
:param key: name to be associated with the logged test result
:param value: element to be appended to the array
:see also: :py:meth:`~check` | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,800 | touca._client | add_hit_count | Increments value of key every time it is executed.
creates the key with initial value of one if it does not exist.
Could be considered as a helper utility function.
This method is particularly helpful to track variables whose values
are determined in loops with indeterminate execution cycles:
.. code-block:: python
for number in numbers:
if is_prime(number):
touca.add_array_element("prime numbers", number)
touca.add_hit_count("number of primes")
This pattern can be considered as a syntactic sugar for the following
alternative:
.. code-block:: python
primes = []
for number in numbers:
if is_prime(number):
primes.append(number)
if primes:
touca.check("prime numbers", primes)
touca.check("number of primes", len(primes))
:raises RuntimeError:
if specified key is already associated with
a test result which was not an integer
:param key: name to be associated with the logged test result
:see also: :py:meth:`~check` | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,801 | touca._client | add_metric | Adds an already obtained measurements to the list of captured
performance benchmarks.
Useful for logging a metric that is measured without using this SDK.
:param key: name to be associated with this performance benchmark
:param milliseconds: duration of this measurement in milliseconds | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,802 | touca._client | add_serializer |
Registers custom serialization logic for a given custom data type.
Calling this function is rarely needed. The library already handles
all custom data types by serializing all their properties. Custom
serializers allow you to exclude a subset of an object properties
during serialization.
:param datattype: type to be serialized
:param serializer: function that converts any object of the given type
to a dictionary.
| def add_serializer(self, datatype: Type, serializer: Callable[[Any], Dict]):
"""
Registers custom serialization logic for a given custom data type.
Calling this function is rarely needed. The library already handles
all custom data types by serializing all their properties. Custom
serializers allow you to exclude a subset of an object properties
during serialization.
:param datattype: type to be serialized
:param serializer: function that converts any object of the given type
to a dictionary.
"""
self._type_handler.add_serializer(datatype, serializer)
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] |
729,803 | touca._client | assume | Logs a given value as an assertion for the declared test case
and associates it with the specified key.
:param key: name to be associated with the logged test result
:param value: value to be logged as a test result | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
| (self, key: str, value: Any) | [
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729,804 | touca._client | check | Captures the value of a given variable as a data point for the declared
test case and associates it with the specified key.
:param key: name to be associated with the captured data point
:param value: value to be captured as a test result
:param rule: comparison rule for this test result | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
| (self, key: str, value: Any, *, rule: Optional[touca._rules.ComparisonRule] = None) | [
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729,805 | touca._client | check_file | Captures an external file as a data point for the declared test case
and associates it with the specified key.
:param key: name to be associated with captured file
:param path: path to the external file to be captured | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,806 | touca._client | configuration_error |
Provides the most recent error, if any, that is encountered during
client configuration.
:return: short description of the most recent configuration error
:rtype: str
| def configuration_error(self) -> str:
"""
Provides the most recent error, if any, that is encountered during
client configuration.
:return: short description of the most recent configuration error
:rtype: str
"""
return self._configuration_error
| (self) -> str | [
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] |
729,807 | touca._client | configure |
Configures the Touca client. Must be called before declaring test cases
and adding results to the client. Should be regarded as a potentially
expensive operation. Should be called only from your test environment.
:py:meth:`~configure` takes a variety of configuration parameters
documented below. All of these parameters are optional. Calling this
function without any parameters is possible: the client can capture
behavior and performance data and store them on a local filesystem
but it will not be able to post them to the Touca server.
In most cases, You will need to pass API Key and API URL during the
configuration. The code below shows the common pattern in which API URL
is given in long format (it includes the team slug and the suite slug)
and API Key as well as the version of the code under test are specified
as environment variables ``TOUCA_API_KEY`` and ``TOUCA_TEST_VERSION``,
respectively::
touca.configure(api_url='https://api.touca.io/@/acme/students')
As long as the API Key and API URL to the Touca server are known to
the client, it attempts to authenticate with the Touca Server. You
can explicitly disable this communication in rare cases by setting
configuration option ``offline`` to ``False``.
You can call :py:meth:`~configure` any number of times. The client
preserves the configuration parameters specified in previous calls to
this function.
:type api_key: str, optional
:param api_key:
(optional) API Key issued by the Touca server that
identifies who is submitting the data. Since the value should be
treated as a secret, we recommend that you pass it as an environment
variable ``TOUCA_API_KEY`` instead.
:type api_url: str, optional
:param api_url:
(optional) URL to the Touca server API.
Can be provided either in long format like
``https://api.touca.io/@/myteam/mysuite/version``
or in short format like ``https://api.touca.io``.
If the team, suite, or version are specified, you do not need to
specify them separately.
:type team: str, optional
:param team:
(optional) slug of your team on the Touca server.
:type suite: str, optional
:param suite:
slug of the suite on the Touca server that corresponds to your
workflow under test.
:type version: str, optional
:param version:
version of your workflow under test.
:type offline: bool, optional
:param offline:
determines whether client should connect with the Touca server
during the configuration. Defaults to ``False`` when ``api_url``
or ``api_key`` are provided.
:type concurrency: bool, optional
:param concurrency:
determines whether the scope of test case declaration is bound to
the thread performing the declaration, or covers all other threads.
Defaults to ``True``.
If set to ``True``, when a thread calls :py:meth:`~declare_testcase`,
all other threads also have their most recent test case changed to
the newly declared test case and any subsequent call to data
capturing functions such as :py:meth:`~check`
will affect the newly declared test case.
| def configure(self, **kwargs) -> bool:
"""
Configures the Touca client. Must be called before declaring test cases
and adding results to the client. Should be regarded as a potentially
expensive operation. Should be called only from your test environment.
:py:meth:`~configure` takes a variety of configuration parameters
documented below. All of these parameters are optional. Calling this
function without any parameters is possible: the client can capture
behavior and performance data and store them on a local filesystem
but it will not be able to post them to the Touca server.
In most cases, You will need to pass API Key and API URL during the
configuration. The code below shows the common pattern in which API URL
is given in long format (it includes the team slug and the suite slug)
and API Key as well as the version of the code under test are specified
as environment variables ``TOUCA_API_KEY`` and ``TOUCA_TEST_VERSION``,
respectively::
touca.configure(api_url='https://api.touca.io/@/acme/students')
As long as the API Key and API URL to the Touca server are known to
the client, it attempts to authenticate with the Touca Server. You
can explicitly disable this communication in rare cases by setting
configuration option ``offline`` to ``False``.
You can call :py:meth:`~configure` any number of times. The client
preserves the configuration parameters specified in previous calls to
this function.
:type api_key: str, optional
:param api_key:
(optional) API Key issued by the Touca server that
identifies who is submitting the data. Since the value should be
treated as a secret, we recommend that you pass it as an environment
variable ``TOUCA_API_KEY`` instead.
:type api_url: str, optional
:param api_url:
(optional) URL to the Touca server API.
Can be provided either in long format like
``https://api.touca.io/@/myteam/mysuite/version``
or in short format like ``https://api.touca.io``.
If the team, suite, or version are specified, you do not need to
specify them separately.
:type team: str, optional
:param team:
(optional) slug of your team on the Touca server.
:type suite: str, optional
:param suite:
slug of the suite on the Touca server that corresponds to your
workflow under test.
:type version: str, optional
:param version:
version of your workflow under test.
:type offline: bool, optional
:param offline:
determines whether client should connect with the Touca server
during the configuration. Defaults to ``False`` when ``api_url``
or ``api_key`` are provided.
:type concurrency: bool, optional
:param concurrency:
determines whether the scope of test case declaration is bound to
the thread performing the declaration, or covers all other threads.
Defaults to ``True``.
If set to ``True``, when a thread calls :py:meth:`~declare_testcase`,
all other threads also have their most recent test case changed to
the newly declared test case and any subsequent call to data
capturing functions such as :py:meth:`~check`
will affect the newly declared test case.
"""
from touca._options import assign_options, update_core_options
self._configuration_error = ""
try:
assign_options(self._options, kwargs)
self._configured = update_core_options(self._options, self._transport)
except RuntimeError as err:
self._configuration_error = str(err)
return False
return True
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729,808 | touca._client | declare_testcase |
Declares name of the test case to which all subsequent results will be
submitted until a new test case is declared.
If configuration parameter ``concurrency`` is set to ``"enabled"``, when
a thread calls `declare_testcase` all other threads also have their most
recent testcase changed to the newly declared one. Otherwise, each
thread will submit to its own testcase.
:param name:
name of the testcase to be declared
| def declare_testcase(self, name: str):
"""
Declares name of the test case to which all subsequent results will be
submitted until a new test case is declared.
If configuration parameter ``concurrency`` is set to ``"enabled"``, when
a thread calls `declare_testcase` all other threads also have their most
recent testcase changed to the newly declared one. Otherwise, each
thread will submit to its own testcase.
:param name:
name of the testcase to be declared
"""
if not self._configured:
return
if name not in self._cases:
self._cases[name] = Case(
team=self._options.get("team"),
suite=self._options.get("suite"),
version=self._options.get("version"),
name=name,
)
self._threads_case = name
self._threads_cases[get_ident()] = name
return self._cases.get(name)
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729,809 | touca._client | forget_testcase |
Removes all logged information associated with a given test case.
This information is removed from memory, such that switching back to
an already-declared or already-submitted test case would behave similar
to when that test case was first declared. This information is removed,
for all threads, regardless of the configuration option ``concurrency``.
Information already submitted to the server will not be removed from
the server.
This operation is useful in long-running regression test frameworks,
after submission of test case to the server, if memory consumed by
the client library is a concern or if there is a risk that a future
test case with a similar name may be executed.
:param name:
name of the testcase to be removed from memory
:raises ToucaError:
when called with the name of a test case that was never declared
| def forget_testcase(self, name: str):
"""
Removes all logged information associated with a given test case.
This information is removed from memory, such that switching back to
an already-declared or already-submitted test case would behave similar
to when that test case was first declared. This information is removed,
for all threads, regardless of the configuration option ``concurrency``.
Information already submitted to the server will not be removed from
the server.
This operation is useful in long-running regression test frameworks,
after submission of test case to the server, if memory consumed by
the client library is a concern or if there is a risk that a future
test case with a similar name may be executed.
:param name:
name of the testcase to be removed from memory
:raises ToucaError:
when called with the name of a test case that was never declared
"""
if not self._configured:
return
if name not in self._cases:
raise ToucaError("capture_forget", name)
del self._cases[name]
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729,810 | touca._client | is_configured |
Checks if previous call(s) to :py:meth:`~configure` have set the right
combination of configuration parameters to enable the client to perform
expected tasks.
We recommend that you perform this check after client configuration and
before calling other functions of the library::
if not touca.is_configured():
print(touca.configuration_error())
sys.exit(1)
At a minimum, the client is considered configured if it can capture
test results and store them locally on the filesystem. A single call
to :py:meth:`~configure` without any configuration parameters can help
us get to this state. However, if a subsequent call to :py:meth:`~configure`
sets the parameter ``api_url`` in short form without specifying
parameters such as ``team``, ``suite`` and ``version``, the client
configuration is incomplete: We infer that the user intends to submit
results but the provided configuration parameters are not sufficient
to perform this operation.
:return: ``True`` if the client is properly configured
:rtype: bool
:see also: :py:meth:`~configure`
| def is_configured(self) -> bool:
"""
Checks if previous call(s) to :py:meth:`~configure` have set the right
combination of configuration parameters to enable the client to perform
expected tasks.
We recommend that you perform this check after client configuration and
before calling other functions of the library::
if not touca.is_configured():
print(touca.configuration_error())
sys.exit(1)
At a minimum, the client is considered configured if it can capture
test results and store them locally on the filesystem. A single call
to :py:meth:`~configure` without any configuration parameters can help
us get to this state. However, if a subsequent call to :py:meth:`~configure`
sets the parameter ``api_url`` in short form without specifying
parameters such as ``team``, ``suite`` and ``version``, the client
configuration is incomplete: We infer that the user intends to submit
results but the provided configuration parameters are not sufficient
to perform this operation.
:return: ``True`` if the client is properly configured
:rtype: bool
:see also: :py:meth:`~configure`
"""
return self._configured
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] |
729,811 | touca._client | post |
Submits all test results recorded so far to Touca server.
It is possible to call :py:meth:`~post` multiple times during runtime
of the regression test tool. Test cases already submitted to the server
whose test results have not changed, will not be resubmitted.
It is also possible to add test results to a testcase after it is
submitted to the server. Any subsequent call to :py:meth:`~post` will
resubmit the modified test case.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server.
| def post(self, *, submit_async=False):
"""
Submits all test results recorded so far to Touca server.
It is possible to call :py:meth:`~post` multiple times during runtime
of the regression test tool. Test cases already submitted to the server
whose test results have not changed, will not be resubmitted.
It is also possible to add test results to a testcase after it is
submitted to the server. Any subsequent call to :py:meth:`~post` will
resubmit the modified test case.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server.
"""
if not self._configured or self._options.get("offline"):
raise ToucaError("capture_not_configured")
content = serialize_messages(
[item.serialize() for item in self._cases.values()]
)
headers = {"X-Touca-Submission-Mode": "async" if submit_async else "sync"}
result = self._post("/client/submit", content, headers)
slugs = "/".join(self._options.get(x) for x in ["team", "suite", "version"])
for case in self._cases.values():
testcase_name = case._metadata().get("testcase")
for key, value in case._results.items():
if isinstance(value.val, BlobType):
self._post(
f"/client/submit/artifact/{slugs}/{testcase_name}/{key}",
value.val._value.binary(),
)
return parse_comparison_result(result) if result else "sent"
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729,812 | touca._client | save_binary |
Stores test results and performance benchmarks in binary format
in a file of specified path.
Touca binary files can be submitted at a later time to the Touca
server.
We do not recommend as a general practice for regression test tools
to locally store their test results. This feature may be helpful for
special cases such as when regression test tools have to be run in
environments that have no access to the Touca server (e.g. running
with no network access).
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file.
| def save_binary(self, path: str, cases: list):
"""
Stores test results and performance benchmarks in binary format
in a file of specified path.
Touca binary files can be submitted at a later time to the Touca
server.
We do not recommend as a general practice for regression test tools
to locally store their test results. This feature may be helpful for
special cases such as when regression test tools have to be run in
environments that have no access to the Touca server (e.g. running
with no network access).
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file.
"""
items = self._prepare_save(path, cases)
content = serialize_messages([item.serialize() for item in items])
with open(path, mode="wb") as file:
file.write(content)
| (self, path: str, cases: list) | [
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729,813 | touca._client | save_json |
Stores test results and performance benchmarks in JSON format
in a file of specified path.
This feature may be helpful during development of regression tests
tools for quick inspection of the test results and performance metrics
being captured.
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file.
| def save_json(self, path: str, cases: list):
"""
Stores test results and performance benchmarks in JSON format
in a file of specified path.
This feature may be helpful during development of regression tests
tools for quick inspection of the test results and performance metrics
being captured.
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file.
"""
from json import dumps
items = self._prepare_save(path, cases)
content = dumps([testcase.json() for testcase in items])
with open(path, mode="wt") as file:
file.write(content)
| (self, path: str, cases: list) | [
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] |
729,814 | touca._client | seal |
Notifies the Touca server that all test cases were executed for this
version and no further test result is expected to be submitted.
Expected to be called by the test tool once all test cases are executed
and all test results are posted.
Sealing the version is optional. The Touca server automatically
performs this operation once a certain amount of time has passed since
the last test case was submitted. This duration is configurable from
the "Settings" tab in "Suite" Page.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server.
| def seal(self):
"""
Notifies the Touca server that all test cases were executed for this
version and no further test result is expected to be submitted.
Expected to be called by the test tool once all test cases are executed
and all test results are posted.
Sealing the version is optional. The Touca server automatically
performs this operation once a certain amount of time has passed since
the last test case was submitted. This duration is configurable from
the "Settings" tab in "Suite" Page.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server.
"""
if not self._configured or self._options.get("offline"):
raise ToucaError("capture_not_configured")
slugs = "/".join(self._options.get(x) for x in ["team", "suite", "version"])
response = self._transport.request(method="POST", path=f"/batch/{slugs}/seal")
if response.status == 403:
raise ToucaError("auth_invalid_key")
if response.status != 204:
raise ToucaError("transport_seal")
| (self) | [
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729,815 | touca._client | start_timer | Starts timing an event with the specified name.
Measurement of the event is only complete when function
:py:meth:`~stop_timer` is later called for the specified name.
:param key: name to be associated with the performance metric | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,816 | touca._client | stop_timer | Stops timing an event with the specified name.
Expects function :py:meth:`~start_timer` to have been called previously
with the specified name.
:param key: name to be associated with the performance metric | def casemethod(func):
""" """
import inspect
from functools import wraps
func.__doc__ = inspect.getdoc(getattr(Case, func.__name__))
@wraps(func)
def wrapper(self, *args, **kwargs):
element = self._active_testcase_name()
if not element:
return
testcase = self._cases.get(element)
method = getattr(testcase, func.__name__)
retval = func(self, *args, **kwargs)
if not retval:
method(*args, **kwargs)
else:
method(args[0], retval, **kwargs)
return wrapper
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729,817 | touca._rules | ComparisonRule | null | class ComparisonRule(ABC):
@abstractmethod
def json(self):
pass
@abstractmethod
def serialize(self, builder: Builder):
pass
| () | [
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729,818 | touca._rules | json | null | @abstractmethod
def json(self):
pass
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729,819 | touca._rules | serialize | null | @abstractmethod
def serialize(self, builder: Builder):
pass
| (self, builder: flatbuffers.builder.Builder) | [
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729,820 | touca._runner | Workflow | null | class Workflow:
def __init__(self, func):
from functools import update_wrapper
update_wrapper(self, func)
_workflows.append({"callback": func, "suite": func.__name__})
| (func) | [
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729,821 | touca._runner | __init__ | null | def __init__(self, func):
from functools import update_wrapper
update_wrapper(self, func)
_workflows.append({"callback": func, "suite": func.__name__})
| (self, func) | [
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729,831 | touca | add_array_element | Adds a given value to a list of results for the declared
test case which is associated with the specified key.
Could be considered as a helper utility function.
This method is particularly helpful to log a list of items as they
are found:
.. code-block:: python
for number in numbers:
if is_prime(number):
touca.add_array_element("prime numbers", number)
touca.add_hit_count("number of primes")
This pattern can be considered as a syntactic sugar for the following
alternative:
.. code-block:: python
primes = []
for number in numbers:
if is_prime(number):
primes.append(number)
if primes:
touca.check("prime numbers", primes)
touca.check("number of primes", len(primes))
The items added to the list are not required to be of the same type.
The following code is acceptable:
.. code-block:: python
touca.check("prime numbers", 42)
touca.check("prime numbers", "forty three")
:raises RuntimeError:
if specified key is already associated with
a test result which was not iterable
:param key: name to be associated with the logged test result
:param value: element to be appended to the array
:see also: :py:meth:`~check` | @clientmethod
def add_array_element(key: str, value: Any):
Client.instance().add_array_element(key, value)
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729,832 | touca | add_hit_count | Increments value of key every time it is executed.
creates the key with initial value of one if it does not exist.
Could be considered as a helper utility function.
This method is particularly helpful to track variables whose values
are determined in loops with indeterminate execution cycles:
.. code-block:: python
for number in numbers:
if is_prime(number):
touca.add_array_element("prime numbers", number)
touca.add_hit_count("number of primes")
This pattern can be considered as a syntactic sugar for the following
alternative:
.. code-block:: python
primes = []
for number in numbers:
if is_prime(number):
primes.append(number)
if primes:
touca.check("prime numbers", primes)
touca.check("number of primes", len(primes))
:raises RuntimeError:
if specified key is already associated with
a test result which was not an integer
:param key: name to be associated with the logged test result
:see also: :py:meth:`~check` | @clientmethod
def add_hit_count(key: str):
Client.instance().add_hit_count(key)
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729,833 | touca | add_metric | Adds an already obtained measurements to the list of captured
performance benchmarks.
Useful for logging a metric that is measured without using this SDK.
:param key: name to be associated with this performance benchmark
:param milliseconds: duration of this measurement in milliseconds | @clientmethod
def add_metric(key: str, milliseconds: int):
Client.instance().add_metric(key, milliseconds)
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729,834 | touca | add_serializer | Registers custom serialization logic for a given custom data type.
Calling this function is rarely needed. The library already handles
all custom data types by serializing all their properties. Custom
serializers allow you to exclude a subset of an object properties
during serialization.
:param datattype: type to be serialized
:param serializer: function that converts any object of the given type
to a dictionary. | @clientmethod
def add_serializer(datatype: Type, serializer: Callable[[Any], Dict]):
Client.instance().add_serializer(datatype, serializer)
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729,835 | touca | assume | Logs a given value as an assertion for the declared test case
and associates it with the specified key.
:param key: name to be associated with the logged test result
:param value: value to be logged as a test result | @clientmethod
def assume(key: str, value: Any):
Client.instance().assume(key, value)
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] |
729,836 | touca | check | Captures the value of a given variable as a data point for the declared
test case and associates it with the specified key.
:param key: name to be associated with the captured data point
:param value: value to be captured as a test result
:param rule: comparison rule for this test result | @clientmethod
def check(key: str, value: Any, *, rule: Optional[ComparisonRule] = None):
Client.instance().check(key, value, rule=rule)
| (key: str, value: Any, *, rule: Optional[touca._rules.ComparisonRule] = None) | [
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729,837 | touca | check_file | Captures an external file as a data point for the declared test case
and associates it with the specified key.
:param key: name to be associated with captured file
:param path: path to the external file to be captured | @clientmethod
def check_file(key: str, value: Any):
Client.instance().check_file(key, value)
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729,838 | touca | clientmethod | null | def clientmethod(f):
import inspect
f.__doc__ = inspect.getdoc(getattr(Client, f.__name__))
return f
| (f) | [
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729,839 | touca | configuration_error | Provides the most recent error, if any, that is encountered during
client configuration.
:return: short description of the most recent configuration error
:rtype: str | @clientmethod
def configuration_error() -> str:
return Client.instance().configuration_error()
| () -> str | [
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] |
729,840 | touca | configure | Configures the Touca client. Must be called before declaring test cases
and adding results to the client. Should be regarded as a potentially
expensive operation. Should be called only from your test environment.
:py:meth:`~configure` takes a variety of configuration parameters
documented below. All of these parameters are optional. Calling this
function without any parameters is possible: the client can capture
behavior and performance data and store them on a local filesystem
but it will not be able to post them to the Touca server.
In most cases, You will need to pass API Key and API URL during the
configuration. The code below shows the common pattern in which API URL
is given in long format (it includes the team slug and the suite slug)
and API Key as well as the version of the code under test are specified
as environment variables ``TOUCA_API_KEY`` and ``TOUCA_TEST_VERSION``,
respectively::
touca.configure(api_url='https://api.touca.io/@/acme/students')
As long as the API Key and API URL to the Touca server are known to
the client, it attempts to authenticate with the Touca Server. You
can explicitly disable this communication in rare cases by setting
configuration option ``offline`` to ``False``.
You can call :py:meth:`~configure` any number of times. The client
preserves the configuration parameters specified in previous calls to
this function.
:type api_key: str, optional
:param api_key:
(optional) API Key issued by the Touca server that
identifies who is submitting the data. Since the value should be
treated as a secret, we recommend that you pass it as an environment
variable ``TOUCA_API_KEY`` instead.
:type api_url: str, optional
:param api_url:
(optional) URL to the Touca server API.
Can be provided either in long format like
``https://api.touca.io/@/myteam/mysuite/version``
or in short format like ``https://api.touca.io``.
If the team, suite, or version are specified, you do not need to
specify them separately.
:type team: str, optional
:param team:
(optional) slug of your team on the Touca server.
:type suite: str, optional
:param suite:
slug of the suite on the Touca server that corresponds to your
workflow under test.
:type version: str, optional
:param version:
version of your workflow under test.
:type offline: bool, optional
:param offline:
determines whether client should connect with the Touca server
during the configuration. Defaults to ``False`` when ``api_url``
or ``api_key`` are provided.
:type concurrency: bool, optional
:param concurrency:
determines whether the scope of test case declaration is bound to
the thread performing the declaration, or covers all other threads.
Defaults to ``True``.
If set to ``True``, when a thread calls :py:meth:`~declare_testcase`,
all other threads also have their most recent test case changed to
the newly declared test case and any subsequent call to data
capturing functions such as :py:meth:`~check`
will affect the newly declared test case. | @clientmethod
def configure(**kwargs) -> bool:
return Client.instance().configure(**kwargs)
| (**kwargs) -> bool | [
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729,841 | touca._rules | decimal_rule | null | class decimal_rule(ComparisonRule):
@classmethod
def absolute(cls, *, min=None, max=None):
return cls(
mode=schema.ComparisonRuleMode.Absolute,
min=min,
max=max,
)
@classmethod
def relative(cls, *, max=None, percent=False):
return cls(
mode=schema.ComparisonRuleMode.Relative,
max=max,
percent=percent,
)
def __init__(
self,
*,
mode: Optional[schema.ComparisonRuleMode] = None,
min=None,
max=None,
percent=None
):
self._mode = mode
self._min = min
self._max = max
self._percent = percent
def json(self):
mode = (
"absolute"
if self._mode == schema.ComparisonRuleMode.Absolute
else "relative"
)
out = {
"type": "number",
"mode": mode,
"min": self._min,
"max": self._max,
"percent": self._percent,
}
return {k: v for k, v in out.items() if v is not None}
def serialize(self, builder: Builder):
schema.ComparisonRuleDoubleStart(builder)
schema.ComparisonRuleDoubleAddMode(builder, self._mode)
if self._min is not None:
schema.ComparisonRuleDoubleAddMin(builder, self._min)
if self._max is not None:
schema.ComparisonRuleDoubleAddMax(builder, self._max)
if self._percent is not None:
schema.ComparisonRuleDoubleAddPercent(builder, self._percent)
return schema.ComparisonRuleDoubleEnd(builder)
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729,842 | touca._rules | __init__ | null | def __init__(
self,
*,
mode: Optional[schema.ComparisonRuleMode] = None,
min=None,
max=None,
percent=None
):
self._mode = mode
self._min = min
self._max = max
self._percent = percent
| (self, *, mode: Optional[touca_fbs.ComparisonRuleMode] = None, min=None, max=None, percent=None) | [
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729,843 | touca._rules | json | null | def json(self):
mode = (
"absolute"
if self._mode == schema.ComparisonRuleMode.Absolute
else "relative"
)
out = {
"type": "number",
"mode": mode,
"min": self._min,
"max": self._max,
"percent": self._percent,
}
return {k: v for k, v in out.items() if v is not None}
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729,844 | touca._rules | serialize | null | def serialize(self, builder: Builder):
schema.ComparisonRuleDoubleStart(builder)
schema.ComparisonRuleDoubleAddMode(builder, self._mode)
if self._min is not None:
schema.ComparisonRuleDoubleAddMin(builder, self._min)
if self._max is not None:
schema.ComparisonRuleDoubleAddMax(builder, self._max)
if self._percent is not None:
schema.ComparisonRuleDoubleAddPercent(builder, self._percent)
return schema.ComparisonRuleDoubleEnd(builder)
| (self, builder: flatbuffers.builder.Builder) | [
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729,845 | touca | declare_testcase | Declares name of the test case to which all subsequent results will be
submitted until a new test case is declared.
If configuration parameter ``concurrency`` is set to ``"enabled"``, when
a thread calls `declare_testcase` all other threads also have their most
recent testcase changed to the newly declared one. Otherwise, each
thread will submit to its own testcase.
:param name:
name of the testcase to be declared | @clientmethod
def declare_testcase(name: str):
Client.instance().declare_testcase(name)
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729,846 | touca | forget_testcase | Removes all logged information associated with a given test case.
This information is removed from memory, such that switching back to
an already-declared or already-submitted test case would behave similar
to when that test case was first declared. This information is removed,
for all threads, regardless of the configuration option ``concurrency``.
Information already submitted to the server will not be removed from
the server.
This operation is useful in long-running regression test frameworks,
after submission of test case to the server, if memory consumed by
the client library is a concern or if there is a risk that a future
test case with a similar name may be executed.
:param name:
name of the testcase to be removed from memory
:raises ToucaError:
when called with the name of a test case that was never declared | @clientmethod
def forget_testcase(name: str):
Client.instance().forget_testcase(name)
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729,847 | touca | is_configured | Checks if previous call(s) to :py:meth:`~configure` have set the right
combination of configuration parameters to enable the client to perform
expected tasks.
We recommend that you perform this check after client configuration and
before calling other functions of the library::
if not touca.is_configured():
print(touca.configuration_error())
sys.exit(1)
At a minimum, the client is considered configured if it can capture
test results and store them locally on the filesystem. A single call
to :py:meth:`~configure` without any configuration parameters can help
us get to this state. However, if a subsequent call to :py:meth:`~configure`
sets the parameter ``api_url`` in short form without specifying
parameters such as ``team``, ``suite`` and ``version``, the client
configuration is incomplete: We infer that the user intends to submit
results but the provided configuration parameters are not sufficient
to perform this operation.
:return: ``True`` if the client is properly configured
:rtype: bool
:see also: :py:meth:`~configure` | @clientmethod
def is_configured() -> bool:
return Client.instance().is_configured()
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729,848 | touca | post | Submits all test results recorded so far to Touca server.
It is possible to call :py:meth:`~post` multiple times during runtime
of the regression test tool. Test cases already submitted to the server
whose test results have not changed, will not be resubmitted.
It is also possible to add test results to a testcase after it is
submitted to the server. Any subsequent call to :py:meth:`~post` will
resubmit the modified test case.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server. | @clientmethod
def post():
Client.instance().post()
| () | [
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] |
729,849 | touca._runner | run |
Runs registered workflows, one by one, for available test cases.
This function is intended to be called once from the main module as
shown in the example below::
if __name__ == "__main__":
touca.run()
:raises SystemExit:
When configuration options specified as command line arguments,
environment variables, or in a configuration file, have unexpected
values or are in conflict with each other. Capturing this exception
is not required.
| def run(**options):
"""
Runs registered workflows, one by one, for available test cases.
This function is intended to be called once from the main module as
shown in the example below::
if __name__ == "__main__":
touca.run()
:raises SystemExit:
When configuration options specified as command line arguments,
environment variables, or in a configuration file, have unexpected
values or are in conflict with each other. Capturing this exception
is not required.
"""
from sys import exit
options.setdefault("workflows", [])
options["workflows"].extend(_workflows)
try:
if not run_workflows(options):
exit(1)
except Exception as err:
exit(f"\nTest failed:\n{err}\n")
| (**options) | [
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729,850 | touca | save_binary | Stores test results and performance benchmarks in binary format
in a file of specified path.
Touca binary files can be submitted at a later time to the Touca
server.
We do not recommend as a general practice for regression test tools
to locally store their test results. This feature may be helpful for
special cases such as when regression test tools have to be run in
environments that have no access to the Touca server (e.g. running
with no network access).
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file. | @clientmethod
def save_binary(key: str, cases: List[str] = []):
Client.instance().save_binary(key, cases)
| (key: str, cases: List[str] = []) | [
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729,851 | touca | save_json | Stores test results and performance benchmarks in JSON format
in a file of specified path.
This feature may be helpful during development of regression tests
tools for quick inspection of the test results and performance metrics
being captured.
:param path: path to file in which test results and performance
benchmarks should be stored
:param cases: names of test cases whose results should be stored.
If a set is not specified or is set as empty, all test cases will
be stored in the specified file. | @clientmethod
def save_json(key: str, cases: List[str] = []):
Client.instance().save_json(key, cases)
| (key: str, cases: List[str] = []) | [
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729,852 | touca._utils | scoped_timer | null | class scoped_timer:
def __init__(self, name):
"""
Creates a timer object that captures its own lifetime and associates it
with a given name.
:param name: name to be associated with the captured runtime
"""
self._name = name
def __enter__(self):
Client.instance().start_timer(self._name)
def __exit__(self, exc_type, exc_value, traceback):
Client.instance().stop_timer(self._name)
| (name) | [
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729,853 | touca._utils | __enter__ | null | def __enter__(self):
Client.instance().start_timer(self._name)
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729,854 | touca._utils | __exit__ | null | def __exit__(self, exc_type, exc_value, traceback):
Client.instance().stop_timer(self._name)
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729,855 | touca._utils | __init__ |
Creates a timer object that captures its own lifetime and associates it
with a given name.
:param name: name to be associated with the captured runtime
| def __init__(self, name):
"""
Creates a timer object that captures its own lifetime and associates it
with a given name.
:param name: name to be associated with the captured runtime
"""
self._name = name
| (self, name) | [
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] |
729,856 | touca | seal | Notifies the Touca server that all test cases were executed for this
version and no further test result is expected to be submitted.
Expected to be called by the test tool once all test cases are executed
and all test results are posted.
Sealing the version is optional. The Touca server automatically
performs this operation once a certain amount of time has passed since
the last test case was submitted. This duration is configurable from
the "Settings" tab in "Suite" Page.
:raises ToucaError:
when called on the client that is not configured to communicate
with the Touca server. | @clientmethod
def seal():
Client.instance().seal()
| () | [
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729,857 | touca | start_timer | Starts timing an event with the specified name.
Measurement of the event is only complete when function
:py:meth:`~stop_timer` is later called for the specified name.
:param key: name to be associated with the performance metric | @clientmethod
def start_timer(key: str):
Client.instance().start_timer(key)
| (key: str) | [
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729,858 | touca | stop_timer | Stops timing an event with the specified name.
Expects function :py:meth:`~start_timer` to have been called previously
with the specified name.
:param key: name to be associated with the performance metric | @clientmethod
def stop_timer(key: str):
Client.instance().stop_timer(key)
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] |
729,859 | touca._runner | workflow |
Registers the decorated function as a regression test workflow to be
executed, once, for each test case.
The following example demonstrates how to use this decorator::
@touca.workflow
def test_students(testcase: str):
student = find_student(testcase)
touca.assume("username", student.username)
touca.check("fullname", student.fullname)
touca.check("birth_date", student.dob)
touca.check("gpa", calculate_gpa(student.courses))
| def workflow(method=None, testcases=None):
"""
Registers the decorated function as a regression test workflow to be
executed, once, for each test case.
The following example demonstrates how to use this decorator::
@touca.workflow
def test_students(testcase: str):
student = find_student(testcase)
touca.assume("username", student.username)
touca.check("fullname", student.fullname)
touca.check("birth_date", student.dob)
touca.check("gpa", calculate_gpa(student.courses))
"""
from functools import wraps
from inspect import isgenerator, isgeneratorfunction
@wraps(method)
def wrapper(wrapped_method):
tcs = None
if type(testcases) is list:
tcs = testcases
elif isgenerator(testcases):
tcs = list(testcases)
elif isgeneratorfunction(testcases):
tcs = list(testcases())
options = {"callback": wrapped_method, "suite": wrapped_method.__name__}
if tcs is not None:
options["testcases"] = tcs
_workflows.append(options)
return wrapper(method) if method else wrapper
| (method=None, testcases=None) | [
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] |
729,861 | marshmallow_enum | EnumField | null | class EnumField(Field):
VALUE = LoadDumpOptions.value
NAME = LoadDumpOptions.name
default_error_messages = {
'by_name': 'Invalid enum member {input}',
'by_value': 'Invalid enum value {input}',
'must_be_string': 'Enum name must be string'
}
def __init__(
self, enum, by_value=False, load_by=None, dump_by=None, error='', *args, **kwargs
):
self.enum = enum
self.by_value = by_value
if error and any(old in error for old in ('name}', 'value}', 'choices}')):
warnings.warn(
"'name', 'value', and 'choices' fail inputs are deprecated,"
"use input, names and values instead",
DeprecationWarning,
stacklevel=2
)
self.error = error
if load_by is None:
load_by = LoadDumpOptions.value if by_value else LoadDumpOptions.name
if not isinstance(load_by, Enum) or load_by not in LoadDumpOptions:
raise ValueError(
'Invalid selection for load_by must be EnumField.VALUE or EnumField.NAME, got {}'.
format(load_by)
)
if dump_by is None:
dump_by = LoadDumpOptions.value if by_value else LoadDumpOptions.name
if not isinstance(dump_by, Enum) or dump_by not in LoadDumpOptions:
raise ValueError(
'Invalid selection for load_by must be EnumField.VALUE or EnumField.NAME, got {}'.
format(dump_by)
)
self.load_by = load_by
self.dump_by = dump_by
super(EnumField, self).__init__(*args, **kwargs)
def _serialize(self, value, attr, obj):
if value is None:
return None
elif self.dump_by == LoadDumpOptions.value:
return value.value
else:
return value.name
def _deserialize(self, value, attr, data, **kwargs):
if value is None:
return None
elif self.load_by == LoadDumpOptions.value:
return self._deserialize_by_value(value, attr, data)
else:
return self._deserialize_by_name(value, attr, data)
def _deserialize_by_value(self, value, attr, data):
try:
return self.enum(value)
except ValueError:
self.fail('by_value', input=value, value=value)
def _deserialize_by_name(self, value, attr, data):
if not isinstance(value, string_types):
self.fail('must_be_string', input=value, name=value)
try:
return getattr(self.enum, value)
except AttributeError:
self.fail('by_name', input=value, name=value)
def fail(self, key, **kwargs):
kwargs['values'] = ', '.join([text_type(mem.value) for mem in self.enum])
kwargs['names'] = ', '.join([mem.name for mem in self.enum])
if self.error:
if self.by_value:
kwargs['choices'] = kwargs['values']
else:
kwargs['choices'] = kwargs['names']
msg = self.error.format(**kwargs)
raise ValidationError(msg)
else:
super(EnumField, self).fail(key, **kwargs)
| (enum, by_value=False, load_by=None, dump_by=None, error='', *args, **kwargs) | [
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] |
729,863 | marshmallow_enum | __init__ | null | def __init__(
self, enum, by_value=False, load_by=None, dump_by=None, error='', *args, **kwargs
):
self.enum = enum
self.by_value = by_value
if error and any(old in error for old in ('name}', 'value}', 'choices}')):
warnings.warn(
"'name', 'value', and 'choices' fail inputs are deprecated,"
"use input, names and values instead",
DeprecationWarning,
stacklevel=2
)
self.error = error
if load_by is None:
load_by = LoadDumpOptions.value if by_value else LoadDumpOptions.name
if not isinstance(load_by, Enum) or load_by not in LoadDumpOptions:
raise ValueError(
'Invalid selection for load_by must be EnumField.VALUE or EnumField.NAME, got {}'.
format(load_by)
)
if dump_by is None:
dump_by = LoadDumpOptions.value if by_value else LoadDumpOptions.name
if not isinstance(dump_by, Enum) or dump_by not in LoadDumpOptions:
raise ValueError(
'Invalid selection for load_by must be EnumField.VALUE or EnumField.NAME, got {}'.
format(dump_by)
)
self.load_by = load_by
self.dump_by = dump_by
super(EnumField, self).__init__(*args, **kwargs)
| (self, enum, by_value=False, load_by=None, dump_by=None, error='', *args, **kwargs) | [
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729,866 | marshmallow_enum | _deserialize | null | def _deserialize(self, value, attr, data, **kwargs):
if value is None:
return None
elif self.load_by == LoadDumpOptions.value:
return self._deserialize_by_value(value, attr, data)
else:
return self._deserialize_by_name(value, attr, data)
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729,867 | marshmallow_enum | _deserialize_by_name | null | def _deserialize_by_name(self, value, attr, data):
if not isinstance(value, string_types):
self.fail('must_be_string', input=value, name=value)
try:
return getattr(self.enum, value)
except AttributeError:
self.fail('by_name', input=value, name=value)
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729,868 | marshmallow_enum | _deserialize_by_value | null | def _deserialize_by_value(self, value, attr, data):
try:
return self.enum(value)
except ValueError:
self.fail('by_value', input=value, value=value)
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729,869 | marshmallow_enum | _serialize | null | def _serialize(self, value, attr, obj):
if value is None:
return None
elif self.dump_by == LoadDumpOptions.value:
return value.value
else:
return value.name
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