Datasets:

semeru

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text-code-galeras-code-generation-from-docstring-3k-deduped

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Semeru Lab 7

def show(*names, **kwargs): kwargs = salt.utils.args.clean_kwargs(**kwargs) refresh = kwargs.pop("refresh", False) filter_ = salt.utils.args.split_input( kwargs.pop("filter", []), lambda x: str(x) if not isinstance(x, str) else x.lower(), ) if kwargs: salt.utils.args.invalid_kwargs(kwargs) if refresh: refresh_db() if not names: return {} result = _call_apt(["apt-cache", "show"] + list(names), scope=False)

salt/modules/aptpkg.py

salt

Python

f2a783643de61cac1ff3288b40241e5ce6e1ddc8

aptpkg.py

show

https://github.com/saltstack/salt.git

Update to latest ``pyupgrade`` hook. Stop skipping it on CI. Signed-off-by: Pedro Algarvio <[email protected]>

def gaunt(l_1, l_2, l_3, m_1, m_2, m_3, prec=None): r l_1, l_2, l_3, m_1, m_2, m_3 = [ as_int(i) for i in (l_1, l_2, l_3, m_1, m_2, m_3)] if l_1 + l_2 - l_3 < 0: return S.Zero if l_1 - l_2 + l_3 < 0: return S.Zero if -l_1 + l_2 + l_3 < 0: return S.Zero if (m_1 + m_2 + m_3) != 0: return S.Zero if (abs(m_1) > l_1) or (abs(m_2) > l_2) or (abs(m_3) > l_3): return S.Zero bigL, remL = divmod(l_1 + l_2 + l_3, 2) if remL % 2: return S.Zero imin = max(-l_3 + l_1 + m_2, -l_3 + l_2 - m_1, 0) imax = min(l_2 + m_2, l_1 - m_1, l_1 + l_2 - l_3) _calc_factlist(max(l_1 + l_2 + l_3 + 1, imax + 1)) ressqrt = sqrt((2 * l_1 + 1) * (2 * l_2 + 1) * (2 * l_3 + 1) * \ _Factlist[l_1 - m_1] * _Factlist[l_1 + m_1] * _Factlist[l_2 - m_2] * \ _Factlist[l_2 + m_2] * _Factlist[l_3 - m_3] * _Factlist[l_3 + m_3] / \ (4*pi)) prefac = Integer(_Factlist[bigL] * _Factlist[l_2 - l_1 + l_3] * _Factlist[l_1 - l_2 + l_3] * _Factlist[l_1 + l_2 - l_3])/ \ _Factlist[2 * bigL + 1]/ \ (_Factlist[bigL - l_1] * _Factlist[bigL - l_2] * _Factlist[bigL - l_3]) sumres = 0 for ii in range(int(imin), int(imax) + 1): den = _Factlist[ii] * _Factlist[ii + l_3 - l_1 - m_2] * \ _Factlist[l_2 + m_2 - ii] * _Factlist[l_1 - ii - m_1] * \ _Factlist[ii + l_3 - l_2 + m_1] * _Factlist[l_1 + l_2 - l_3 - ii] sumres = sumres + Integer((-1) ** ii) / den res = ressqrt * prefac * sumres * Integer((-1) ** (bigL + l_3 + m_1 - m_2)) if prec is not None: res = res.n(prec) return res

sympy/physics/wigner.py

sympy

Python

bcb817024d689b65db350a5a565c08f367b899ee

wigner.py

gaunt

https://github.com/sympy/sympy.git

Update wigner.py

def test_profile_typesafety(): with pytest.raises(TypeError, match="Invalid type for Profile"): ImageCms.ImageCmsProfile(0).tobytes() with pytest.raises(TypeError, match="Invalid type for Profile"): ImageCms.ImageCmsProfile(1).tobytes()

Tests/test_imagecms.py

Pillow

Python

983a6139d57b37a883344972c6b1de50bb757de0

test_imagecms.py

test_profile_typesafety

https://github.com/python-pillow/Pillow.git

Check other exception messages

def _crop_source_faces(self): logger.debug("Updating source faces") self._faces = {} for image in self.source: detected_face = image["detected_faces"][0] src_img = image["image"] detected_face.load_aligned(src_img, size=self._size, centering=self._centering) matrix = detected_face.aligned.matrix self._faces.setdefault("filenames", []).append(os.path.splitext(image["filename"])[0]) self._faces.setdefault("matrix", []).append(matrix) self._faces.setdefault("src", []).append(transform_image(src_img, matrix, self._size, self._padding)) self.update_source = False logger.debug("Updated source faces")

tools/preview/preview.py

faceswap

Python

71c20252c2e747f692289cdefe80ad0d5a456ea6

preview.py

_crop_source_faces

https://github.com/deepfakes/faceswap.git

bugfix: Preview Tool, ensure all config items are written

def partition_spans_by_kind(traces): server_spans = [] client_spans = [] internal_spans = [] for trace in traces: for span in trace['spans']: for tag in span['tags']: if 'span.kind' == tag.get('key', ''): span_kind = tag.get('value', '') if 'server' == span_kind: server_spans.append(span) elif 'client' == span_kind: client_spans.append(span) elif 'internal' == span_kind: internal_spans.append(span) return (server_spans, client_spans, internal_spans)

tests/integration/instrumentation/__init__.py

jina

Python

107631e955b21db8a4ddb3bee02130de3650d032

__init__.py

partition_spans_by_kind

https://github.com/jina-ai/jina.git

feat(instrumentation): add OpenTelemetry tracing and metrics with basic configurations (#5175)

def PreStem(name=None): if name is None: name = "prestem" + str(backend.get_uid("prestem"))

keras/applications/convnext.py

keras

Python

2d1086447a25d281f9428832d046c473d80ad761

convnext.py

PreStem

https://github.com/keras-team/keras.git

Corrected preprocess_input docstring in regnet.py and convnext.py

async def get_users_expiring_soon(self) -> List[Tuple[str, int]]:

synapse/storage/databases/main/registration.py

synapse

Python

1783156dbcf4164692e66275d1c29857c434995b

registration.py

get_users_expiring_soon

https://github.com/matrix-org/synapse.git

Add some type hints to datastore (#12423) * Add some type hints to datastore * newsfile * change `Collection` to `List` * refactor return type of `select_users_txn` * correct type hint in `stream.py` * Remove `Optional` in `select_users_txn` * remove not needed return type in `__init__` * Revert change in `get_stream_id_for_event_txn` * Remove import from `Literal`

def get_topic_progress(topic, course_name, program): student = get_current_student() if not student: return None course_enrollment = get_or_create_course_enrollment(course_name, program) progress = student.get_topic_progress(course_enrollment.name, topic) if not progress: return None count = sum([activity["is_complete"] for activity in progress]) if count == 0: return {"completed": False, "started": False} elif count == len(progress): return {"completed": True, "started": True} elif count < len(progress): return {"completed": False, "started": True}

erpnext/education/utils.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

utils.py

get_topic_progress

https://github.com/frappe/erpnext.git

style: format code with black

def subscription_app_deleted_webhook(subscription_webhook): return subscription_webhook( APP_DELETED_SUBSCRIPTION_QUERY, WebhookEventAsyncType.APP_DELETED ) APP_STATUS_CHANGED_SUBSCRIPTION_QUERY = ( APP_DETAILS_FRAGMENT + ) @pytest.fixture

saleor/plugins/webhook/tests/subscription_webhooks/fixtures.py

@pytest.fixture

saleor

Python

b5e414c98a1535d287721c859994424cf0eea081

fixtures.py

subscription_app_deleted_webhook

https://github.com/saleor/saleor.git

New events related to apps changes. (#9698) * New events related to apps changes. * Schema update after rebase * CHANGELOG.md update * New events description fix * Missing app event added to CHANGELOG.md

def entity_id(self) -> str: # type: ignore[override] return self._entity_id

homeassistant/helpers/template.py

core

Python

aa02a53ac667d08c66a536baf139993bcfe4d7d6

template.py

entity_id

https://github.com/home-assistant/core.git

Add type hints to template states (#82582) * Add type hints to template states * Undo rename * Remove invalid mypy issue link

def compute_or_load(self, wav_file): pitch_file = self.create_pitch_file_path(wav_file, self.cache_path) if not os.path.exists(pitch_file): pitch = self._compute_and_save_pitch(self.ap, wav_file, pitch_file) else: pitch = np.load(pitch_file) return pitch.astype(np.float32)

TTS/tts/datasets/dataset.py

TTS

Python

176b712c1a40cf630da9a77f1826836723c40fde

dataset.py

compute_or_load

https://github.com/coqui-ai/TTS.git

Refactor TTSDataset ⚡️

def test_enqueue_task_instances_sets_ti_state_to_None_if_dagrun_in_finish_state(self, state, dag_maker): dag_id = 'SchedulerJobTest.test_enqueue_task_instances_with_queued_state' task_id_1 = 'dummy' session = settings.Session() with dag_maker(dag_id=dag_id, start_date=DEFAULT_DATE, session=session): task1 = EmptyOperator(task_id=task_id_1) self.scheduler_job = SchedulerJob(subdir=os.devnull) dr1 = dag_maker.create_dagrun(state=state) ti = dr1.get_task_instance(task1.task_id, session) ti.state = State.SCHEDULED session.merge(ti) session.commit() with patch.object(BaseExecutor, 'queue_command') as mock_queue_command: self.scheduler_job._enqueue_task_instances_with_queued_state([ti]) ti.refresh_from_db() assert ti.state == State.NONE mock_queue_command.assert_not_called()

tests/jobs/test_scheduler_job.py

airflow

Python

49e336ae0302b386a2f47269a6d13988382d975f

test_scheduler_job.py

test_enqueue_task_instances_sets_ti_state_to_None_if_dagrun_in_finish_state

https://github.com/apache/airflow.git

Replace usage of `DummyOperator` with `EmptyOperator` (#22974) * Replace usage of `DummyOperator` with `EmptyOperator`

def _class_means(X, y): xp, is_array_api = get_namespace(X) classes, y = xp.unique_inverse(y) means = xp.zeros(shape=(classes.shape[0], X.shape[1])) if is_array_api: for i in range(classes.shape[0]): means[i, :] = xp.mean(X[y == i], axis=0) else: # TODO: Explore the choice of using bincount + add.at as it seems sub optimal # from a performance-wise cnt = np.bincount(y) np.add.at(means, y, X) means /= cnt[:, None] return means

sklearn/discriminant_analysis.py

scikit-learn

Python

2710a9e7eefd2088ce35fd2fb6651d5f97e5ef8b

discriminant_analysis.py

_class_means

https://github.com/scikit-learn/scikit-learn.git

ENH Adds Array API support to LinearDiscriminantAnalysis (#22554) Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Julien Jerphanion <[email protected]>

def degree_centrality(G): if len(G) <= 1: return {n: 1 for n in G} s = 1.0 / (len(G) - 1.0) centrality = {n: d * s for n, d in G.degree()} return centrality @not_implemented_for("undirected")

networkx/algorithms/centrality/degree_alg.py

@not_implemented_for("undirected")

networkx

Python

b8d1438e4ea3d8190c650110b3b7d7c141224842

degree_alg.py

degree_centrality

https://github.com/networkx/networkx.git

added examples to degree_alg.py (#5644) * added example on degree centrality * added example on in degree centrality * added example on out degree centrality * added opening braces

def get_registered_name(obj): if obj in _GLOBAL_CUSTOM_NAMES: return _GLOBAL_CUSTOM_NAMES[obj] else: return obj.__name__ @tf_contextlib.contextmanager

keras/utils/generic_utils.py

@tf_contextlib.contextmanager

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

generic_utils.py

get_registered_name

https://github.com/keras-team/keras.git

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

async def notify_clients(cls) -> None: while not cls.STOP: await asyncio.sleep(cls.UPDATE_INTERVALS) if cls.EVENT_QUEUE: await cls.broadcast_estimations()

gradio/event_queue.py

gradio

Python

b1dfc9a172440e9c9736566f326ba339ff559604

event_queue.py

notify_clients

https://github.com/gradio-app/gradio.git

Release new queue beta (#1969) * queue-refactor-backend (#1489) * queue-refactor-backend - create a template for the new design * queue-refactor-backend - clean after the old queue * queue-refactor-backend - add basic test to websocket endpoint * queue-refactor-backend - small fix * queue-refactor-backend - debugs&fixes&finalizations - test the flow with postman * queue-refactor-backend - tweaks on websocket closing * queue-refactor-backend - cleanup * queue-refactor-backend - cleanup & tweaks * queue-refactor-backend - cleanup & tweaks * queue-refactor-backend - cleanup & tweaks - correct the exception handling * queue-refactor-backend - add websockets dependency * queue-refactor-backend - reformat * queue-refactor-backend - add single event test * queue-refactor-backend - tweaks - remove outdated tests * queue-refactor-backend - reformat * queue-refactor-backend - reformat * queue-refactor-backend - reformat * queue-refactor-backend - add Queue configurations to Blocks.launch() - add live_queue_update to send estimations whenever a job gets fetched from the Queue * queue-refactor-backend - add Queue configurations to Blocks.launch() - add live_queue_update to send estimations whenever a job gets fetched from the Queue * queue-refactor-backend - tweaks * queue-refactor-backend - make SLEEP_WHEN_FREE shorter Co-authored-by: Ali Abid <[email protected]> * Add estimation parameters to queue (#1889) * - tweaks on Estimation * version * Revert "version" This reverts commit bd1f4d7bfe3658a4967b93126859a62a511a70e2. * some fix and tweaks * implement queue frontend (#1950) * implement queue frontend * fix types * fix ws endpoint in build mode * cleanup * Queue tweaks (#1909) * tweaks on estimation payload * Queue keep ws connections open (#1910) * 1. keep ws connections open after the event process is completed 2. do not send estimations periodically if live queue updates is open * fix calculation * 1. tweaks on event_queue * fix issue - create new ws for each request * format * fix * fix tests * fix tests * tets * test * changes * changes * changes * change' * wtf * changes * changes * file perms * Release queue beta v1 (#1971) * - release the new queue * - bypass the issue in the tests - rewrite the lost part in the codebase * - add concurrent queue example (#1978) * rank_eta calc * Queue fixes (#1981) * change * format * - comment out queue tests as they dont work well * - reformat * Update gradio/event_queue.py Co-authored-by: Ömer Faruk Özdemir <[email protected]> * changes * changes * change * weird fix Co-authored-by: Ömer Faruk Özdemir <[email protected]> * release-queue-v3 (#1988) * Fix frontend queuing to target secure WSS (#1996) * change * format * changes * queue-concurrency-tweaks (#2002) 1. make gather_data and broadcast_estimation sequential instead of concurrent because they were deleting elements at the same time and raising expections which was lowering the performance * Update Queue API, documentation (#2026) * changes * changes * fixes * changes * change * fix Co-authored-by: Ömer Faruk Özdemir <[email protected]> Co-authored-by: pngwn <[email protected]>

def scan_with_get_slave_id(self): # type: () -> List[XCPScannerResult] log_automotive.info("Start scan with GetSlaveId id in range: " + str( self.id_range)) for identifier in self.id_range: ids = self._send_get_slave_id(identifier) if len(ids) > 0: return ids return []

scapy/contrib/automotive/xcp/scanner.py

scapy

Python

495b21f2867e48286767085c8cf2918e4092e9dc

scanner.py

scan_with_get_slave_id

https://github.com/secdev/scapy.git

Add Automotive Logger for all debug outputs of the automotive layer

def all_view_models() -> List[Path]: file_list = [] all_files = os.walk(base_path) for root, _, files in all_files: for filename in files: if filename.endswith(".py"): if "view" in filename or "model" in filename: file_list.append(f"{root}/{filename}") clean_list = set(file_list) return [Path(x) for x in clean_list]

openbb_terminal/core/scripts/sdk_audit.py

OpenBBTerminal

Python

963ca9b2b924d0514e0e65243dc8d9d7af023ad1

sdk_audit.py

all_view_models

https://github.com/OpenBB-finance/OpenBBTerminal.git

Audit SDK and View/Model functions (#3384) * Initial commit * Finalized functionality * update script * Allow using it without forecasting * Update gitignore * Update `sdk_audit.py` * Fixed issues, found more * Added fix for helper functions, and column for SDK type * Checked one more thing * Moved file * Move files ending with models/views * Added fix of name * Added file path fixes * Patch to fix sdk_audit for windows * fix Co-authored-by: Chavithra PARANA <[email protected]>

def _get_textdoc(self, index): assert self._opt is not None # FIXME we probably should do eliding here. See # qcommonstyle.cpp:viewItemDrawText # https://github.com/qutebrowser/qutebrowser/issues/118 text_option = QTextOption() if self._opt.features & QStyleOptionViewItem.WrapText: text_option.setWrapMode(QTextOption.WordWrap) else: text_option.setWrapMode(QTextOption.ManualWrap) text_option.setTextDirection(self._opt.direction) text_option.setAlignment(QStyle.visualAlignment( self._opt.direction, self._opt.displayAlignment)) if self._doc is not None: self._doc.deleteLater() self._doc = QTextDocument(self) self._doc.setDefaultFont(self._opt.font) self._doc.setDefaultTextOption(text_option) self._doc.setDocumentMargin(2) if index.parent().isValid(): view = self.parent() assert isinstance(view, completionwidget.CompletionView), view pattern = view.pattern columns_to_filter = index.model().columns_to_filter(index) if index.column() in columns_to_filter and pattern: if self._opt.state & QStyle.State_Selected: color = config.val.colors.completion.item.selected.match.fg else: color = config.val.colors.completion.match.fg _Highlighter(self._doc, pattern, color) self._doc.setPlainText(self._opt.text) else: self._doc.setHtml( '<span style="font: {};">{}</span>'.format( html.escape(config.val.fonts.completion.category), html.escape(self._opt.text)))

qutebrowser/completion/completiondelegate.py

qutebrowser

Python

a20bb67a878b2e68abf8268c1b0a27f018d01352

completiondelegate.py

_get_textdoc

https://github.com/qutebrowser/qutebrowser.git

mypy: Upgrade to PyQt5-stubs 5.15.6.0 For some unknown reason, those new stubs cause a *lot* of things now to be checked by mypy which formerly probably got skipped due to Any being implied somewhere. The stubs themselves mainly improved, with a couple of regressions too. In total, there were some 337 (!) new mypy errors. This commit fixes almost all of them, and the next commit improves a fix to get things down to 0 errors again. Overview of the changes: ==== qutebrowser/app.py - Drop type ignore due to improved stubs. ==== qutebrowser/browser/browsertab.py - Specify the type of _widget members more closely than just QWidget. This is debatable: I suppose the abstract stuff shouldn't need to know anything about the concrete backends at all. But it seems like we cut some corners when initially implementing things, and put some code in browsertab.py just because the APIs of both backends happened to be compatible. Perhaps something to reconsider once we drop QtWebKit and hopefully implement a dummy backend. - Add an additional assertion in AbstractAction.run_string. This is already covered by the isinstance(member, self.action_base) above it, but that's too dynamic for mypy to understand. - Fix the return type of AbstractScroller.pos_px, which is a QPoint (with x and y components), not a single int. - Fix the return type of AbstractScroller.pos_perc, which is a Tuple (with x and y components), not a single int. - Fix the argument types of AbstractScroller.to_perc, as it's possible to pass fractional percentages too. - Specify the type for AbstractHistoryPrivate._history. See above (_widget) re this being debatable. - Fix the return type of AbstractTabPrivate.event_target(), which can be None (see #3888). - Fix the return type of AbstractTabPrivate.run_js_sync, which is Any (the JS return value), not None. - Fix the argument type for AbstractTabPrivate.toggle_inspector: position can be None to use the last used position. - Declare the type of sub-objects of AbstractTab. - Fix the return value of AbstractTab.icon(), which is the QIcon, not None. ==== qutebrowser/browser/commands.py - Make sure the active window is a MainWindow (with a .win_id attribute). ==== qutebrowser/browser/downloadview.py - Add _model() which makes sure that self.model() is a DownloadModel, not None or any other model. This is needed because other methods access a variety of custom attributes on it, e.g. last_index(). ==== qutebrowser/browser/greasemonkey.py - Add an ignore for AbstractDownload.requested_url which we patch onto the downloads. Probably would be nicer to add it as a proper attribute which always gets set by the DownloadManager. ==== qutebrowser/browser/hints.py - Remove type ignores for QUrl.toString(). - Add a new type ignore for combining different URL flags (which works, but is not exactly type safe... still probably a regression in the stubs). - Make sure the things we get back from self._get_keyparser are what we actually expect. Probably should introduce a TypedDict (and/or overloads for _get_keyparser with typing.Literal) to teach mypy about the exact return value. See #7098. This is needed because we access Hint/NormalKeyParser-specific attributes such as .set_inhibited_timout() or .update_bindings(). ==== qutebrowser/browser/inspector.py - Similar changes than in browsertab.py to make some types where we share API (e.g. .setPage()) more concrete. Didn't work out unfortunately, see next commit. ==== qutebrowser/browser/network/pac.py - Remove now unneeded type ignore for signal. ==== qutebrowser/browser/qtnetworkdownloads.py - Make sure that downloads is a qtnetworkdownloads.DownloadItem (rather than an AbstractDownload), so that we can call ._uses_nam() on it. ==== qutebrowser/browser/qutescheme.py - Remove now unneeded type ignore for QUrl flags. ==== qutebrowser/browser/urlmarks.py - Specify the type of UrlMarkManager._lineparser, as those only get initialized in _init_lineparser of subclasses, so mypy doesn't know it's supposed to exist. ==== qutebrowser/browser/webelem.py - New casts to turn single KeyboardModifier (enum) entries into KeyboardModifiers (flags). Might not be needed anymore with Qt 6. - With that, casting the final value is now unneeded. ==== qutebrowser/browser/webengine/notification.py - Remove now unneeded type ignore for signal. - Make sure the self.sender() we get in HerbeNotificationAdapter._on_finished() is a QProcess, not just any QObject. ==== qutebrowser/browser/webengine/webenginedownloads.py - Remove now unneeded type ignores for signals. ==== qutebrowser/browser/webengine/webengineelem.py - Specify the type of WebEngineElement._tab. - Remove now unneeded type ignore for mixed flags. ==== qutebrowser/browser/webengine/webengineinspector.py - See changes to inspector.py and next commit. - Remove now unneeded type ignore for signal. ==== qutebrowser/browser/webengine/webenginequtescheme.py - Remove now unneeded type ignore for mixed flags. ==== qutebrowser/browser/webengine/webenginesettings.py - Ignore access of .setter attribute which we patch onto QWebEngineProfile. Would be nice to have a subclass or wrapper-class instead. ==== qutebrowser/browser/webengine/webenginetab.py - Specified the type of _widget members more closely than just QWidget. See browsertab.py changes for details. - Remove some now-unneeded type ignores for creating FindFlags. - Specify more concrete types for WebEngineTab members where we actually need to access WebEngine-specific attributes. - Make sure the page we get is our custom WebEnginePage subclass, not just any QWebEnginePage. This is needed because we access custom attributes on it. ==== qutebrowser/browser/webengine/webview.py - Make sure the page we get is our custom WebEnginePage subclass, not just any QWebEnginePage. This is needed because we access custom attributes on it. ==== qutebrowser/browser/webkit/network/networkreply.py - Remove now unneeded type ignores for signals. ==== qutebrowser/browser/webkit/webkitinspector.py - See changes to inspector.py and next commit. ==== qutebrowser/browser/webkit/webkittab.py - Specify the type of _widget members more closely than just QWidget. See browsertab.py changes for details. - Add a type ignore for WebKitAction because our workaround needs to treat them as ints (which is allowed by PyQt, even if not type-safe). - Add new ignores for findText calls: The text is a QString and can be None; the flags are valid despite mypy thinking they aren't (stubs regression?). - Specify the type for WebKitHistoryPrivate._history, because we access WebKit-specific attributes. See above (_widget) re this being debatable. - Make mypy aware that .currentFrame() and .frameAt() can return None (stubs regression?). - Make sure the .page() and .page().networkAccessManager() are our subclasses rather than the more generic QtWebKit objects, as we use custom attributes. - Add new type ignores for signals (stubs regression!) ==== qutebrowser/browser/webkit/webpage.py - Make sure the .networkAccessManager() is our subclass rather than the more generic QtWebKit object, as we use custom attributes. - Replace a cast by a type ignore. The cast didn't work anymore. ==== qutebrowser/browser/webkit/webview.py - Make sure the .page() is our subclass rather than the more generic QtWebKit object, as we use custom attributes. ==== qutebrowser/commands/userscripts.py - Remove now unneeded type ignore for signal. ==== qutebrowser/completion/completer.py - Add a new _completion() getter (which ensures it actually gets the completion view) rather than accessing the .parent() directly (which could be any QObject). ==== qutebrowser/completion/completiondelegate.py - Make sure self.parent() is a CompletionView (no helper method as there is only one instance). - Remove a now-unneeded type ignore for adding QSizes. ==== qutebrowser/completion/completionwidget.py - Add a ._model() getter which ensures that we get a CompletionModel (with custom attributes) rather than Qt's .model() which can be any QAbstractItemModel (or None). - Removed a now-unneeded type ignore for OR-ing flags. ==== qutebrowser/completion/models/completionmodel.py - Remove now unneeded type ignores for signals. - Ignore a complaint about .set_pattern() not being defined. Completion categories don't share any common parent class, so it would be good to introduce a typing.Protocol for this. See #7098. ==== qutebrowser/components/misccommands.py - Removed a now-unneeded type ignore for OR-ing flags. ==== qutebrowser/components/readlinecommands.py - Make sure QApplication.instance() is a QApplication (and not just a QCoreApplication). This includes the former "not None" check. ==== qutebrowser/components/scrollcommands.py - Add basic annotation for "funcs" dict. Could have a callable protocol to specify it needs a count kwarg, see #7098. ==== qutebrowser/config/stylesheet.py - Correctly specify that stylesheet apply to QWidgets, not any QObject. - Ignore an attr-defined for obj.STYLESHEET. Perhaps could somehow teach mypy about this with overloads and protocols (stylesheet for set_register being None => STYLESHEET needs to be defined, otherwise anything goes), but perhaps not worth the troble. See #7098. ==== qutebrowser/keyinput/keyutils.py - Remove some now-unneeded type ignores and add a cast for using a single enum value as flags. Might need to look at this again with Qt 6 support. ==== qutebrowser/keyinput/modeman.py - Add a FIXME for using a TypedDict, see comments for hints.py above. ==== qutebrowser/mainwindow/mainwindow.py - Remove now-unneeded type ignores for calling with OR-ed flags. - Improve where we cast from WindowType to WindowFlags, no int needed - Use new .tab_bar() getter, see below. ==== qutebrowser/mainwindow/prompt.py - Remove now-unneeded type ignores for calling with OR-ed flags. ==== qutebrowser/mainwindow/statusbar/bar.py - Adjust type ignores around @pyqtProperty. The fact one is still needed seems like a stub regression. ==== qutebrowser/mainwindow/statusbar/command.py - Fix type for setText() override (from QLineEdit): text can be None (QString in C++). ==== qutebrowser/mainwindow/statusbar/url.py - Adjust type ignores around @pyqtProperty. The fact one is still needed seems like a stub regression. ==== qutebrowser/mainwindow/tabbedbrowser.py - Specify that TabDeque manages browser tabs, not any QWidgets. It accesses AbstractTab-specific attributes. - Make sure that the .tabBar() we get is a tabwidget.TabBar, as we access .maybe_hide. - Fix the annotations for stored marks: Scroll positions are a QPoint, not int. - Add _current_tab() and _tab_by_idx() wrappers for .currentWidget() and .widget(), which ensures that the return values are valid AbstractTabs (or None for _tab_by_idx). This is needed because we access AbstractTab-specific attributes. - For some places, where the tab can be None, continue using .currentTab() but add asserts. - Remove some now-unneeded [unreachable] ignores, as mypy knows about the None possibility now. ==== qutebrowser/mainwindow/tabwidget.py - Add new tab_bar() and _tab_by_idx() helpers which check that the .tabBar() and .widget() are of type TabBar and AbstractTab, respectively. - Add additional assertions where we expect ._tab_by_idx() to never be None. - Remove dead code in get_tab_fields for handling a None y scroll position. I was unable to find any place in the code where this could be set to None. - Remove some now-unneeded type ignores and casts, as mypy now knows that _type_by_idx() could be None. - Work around a strange instance where mypy complains about not being able to find the type of TabBar.drag_in_progress from TabWidget._toggle_visibility, despite it clearly being shown as a bool *inside* that class without any annotation. - Add a ._tab_widget() getter in TabBar which ensures that the .parent() is in fact a TabWidget. ==== qutebrowser/misc/crashsignal.py - Remove now unneeded type ignores for signals. ==== qutebrowser/misc/editor.py - Remove now unneeded type ignores for signals. ==== qutebrowser/misc/ipc.py - Remove now unneeded type ignores for signals. - Add new type ignores for .error() which is both a signal and a getter (stub regression?). Won't be relevant for Qt 6 anymore, as the signal was renamed to errorOccurred in 5.15. ==== qutebrowser/misc/objects.py - Make sure mypy knows that objects.app is our custom Application (with custom attributes) rather than any QApplication. ==== qutebrowser/utils/objreg.py - Ignore attr-defined for .win_id attributes. Maybe could add a typing.Protocol, but ideally, the whole objreg stuff should die one day anyways. ==== tests/unit/completion/test_completer.py - Make CompletionWidgetStub inherit from CompletionView so that it passes the new isinstance() asserts in completer.py (see above).

def role(self) -> 'PeaRoleType': return self.args.pea_role

jina/peapods/peas/__init__.py

jina

Python

933415bfa1f9eb89f935037014dfed816eb9815d

__init__.py

role

https://github.com/jina-ai/jina.git

feat: star routing (#3900) * feat(proto): adjust proto for star routing (#3844) * feat(proto): adjust proto for star routing * feat(proto): generate proto files * feat(grpc): refactor grpclet interface (#3846) * feat: refactor connection pool for star routing (#3872) * feat(k8s): add more labels to k8s deployments * feat(network): refactor connection pool * feat(network): refactor k8s pool * feat: star routing graph gateway (#3877) * feat: star routing - refactor grpc data runtime (#3887) * feat(runtimes): refactor grpc dataruntime * fix(tests): adapt worker runtime tests * fix(import): fix import * feat(proto): enable sending multiple lists (#3891) * feat: star routing gateway (#3893) * feat: star routing gateway all protocols (#3897) * test: add streaming and prefetch tests (#3901) * feat(head): new head runtime for star routing (#3899) * feat(head): new head runtime * feat(head): new head runtime * style: fix overload and cli autocomplete * feat(network): improve proto comments Co-authored-by: Jina Dev Bot <[email protected]> * feat(worker): merge docs in worker runtime (#3905) * feat(worker): merge docs in worker runtime * feat(tests): assert after clean up * feat(tests): star routing runtime integration tests (#3908) * fix(tests): fix integration tests * test: test runtimes fast slow request (#3910) * feat(zmq): purge zmq, zed, routing_table (#3915) * feat(zmq): purge zmq, zed, routing_table * style: fix overload and cli autocomplete * feat(zmq): adapt comment in dependency list * style: fix overload and cli autocomplete * fix(tests): fix type tests Co-authored-by: Jina Dev Bot <[email protected]> * test: add test gateway to worker connection (#3921) * feat(pea): adapt peas for star routing (#3918) * feat(pea): adapt peas for star routing * style: fix overload and cli autocomplete * feat(pea): add tests * feat(tests): add failing head pea test Co-authored-by: Jina Dev Bot <[email protected]> * feat(tests): integration tests for peas (#3923) * feat(tests): integration tests for peas * feat(pea): remove _inner_pea function * feat: star routing container pea (#3922) * test: rescue tests (#3942) * fix: fix streaming tests (#3945) * refactor: move docker run to run (#3948) * feat: star routing pods (#3940) * feat(pod): adapt pods for star routing * feat(pods): adapt basepod to star routing * feat(pod): merge pod and compound pod * feat(tests): fix tests * style: fix overload and cli autocomplete * feat(test): add container pea int test * feat(ci): remove more unnecessary tests * fix(tests): remove jinad runtime * feat(ci): remove latency tracking * fix(ci): fix ci def * fix(runtime): enable runtime to be exited * fix(tests): wrap runtime test in process * fix(runtimes): remove unused runtimes * feat(runtimes): improve cancel wait * fix(ci): build test pip again in ci * fix(tests): fix a test * fix(test): run async in its own process * feat(pod): include shard in activate msg * fix(pea): dont join * feat(pod): more debug out * feat(grpc): manage channels properly * feat(pods): remove exitfifo * feat(network): add simple send retry mechanism * fix(network): await pool close * fix(test): always close grpc server in worker * fix(tests): remove container pea from tests * fix(tests): reorder tests * fix(ci): split tests * fix(ci): allow alias setting * fix(test): skip a test * feat(pods): address comments Co-authored-by: Jina Dev Bot <[email protected]> * test: unblock skipped test (#3957) * feat: jinad pea (#3949) * feat: jinad pea * feat: jinad pea * test: remote peas * test: toplogy tests with jinad * ci: parallel jobs * feat(tests): add pod integration tests (#3958) * feat(tests): add pod integration tests * fix(tests): make tests less flaky * fix(test): fix test * test(pea): remote pea topologies (#3961) * test(pea): remote pea simple topology * test: remote pea topologies * refactor: refactor streamer result handling (#3960) * feat(k8s): adapt K8s Pod for StarRouting (#3964) * test: optimize k8s test * test: increase timeout and use different namespace * test: optimize k8s test * test: build and load image when needed * test: refactor k8s test * test: fix image name error * test: fix k8s image load * test: fix typoe port expose * test: update tests in connection pool and handling * test: remove unused fixture * test: parameterize docker images * test: parameterize docker images * test: parameterize docker images * feat(k8s): adapt k8s pod for star routing * fix(k8s): dont overwrite add/remove function in pool * fix(k8s): some fixes * fix(k8s): some more fixes * fix(k8s): linting * fix(tests): fix tests * fix(tests): fix k8s unit tests * feat(k8s): complete k8s integration test * feat(k8s): finish k8s tests * feat(k8s): fix test * fix(tests): fix test with no name * feat(k8s): unify create/replace interface * feat(k8s): extract k8s port constants * fix(tests): fix tests * fix(tests): wait for runtime being ready in tests * feat(k8s): address comments Co-authored-by: bwanglzu <[email protected]> * feat(flow): adapt Flow for StarRouting (#3986) * feat(flow): add routes * feat(flow): adapt flow to star routing * style: fix overload and cli autocomplete * feat(flow): handle empty topologies * feat(k8s): allow k8s pool disabling * style: fix overload and cli autocomplete * fix(test): fix test with mock * fix(tests): fix more tests * feat(flow): clean up tests * style: fix overload and cli autocomplete * fix(tests): fix more tests * feat: add plot function (#3994) * fix(tests): avoid hanging tests * feat(flow): add type hinting * fix(test): fix duplicate exec name in test * fix(tests): fix more tests * fix(tests): enable jinad test again * fix(tests): random port fixture * fix(style): replace quotes Co-authored-by: Jina Dev Bot <[email protected]> Co-authored-by: Joan Fontanals <[email protected]> * feat(ci): bring back ci (#3997) * feat(ci): enable ci again * style: fix overload and cli autocomplete * feat(ci): add latency tracking * feat(ci): bring back some tests * fix(tests): remove invalid port test * feat(ci): disable daemon and distributed tests * fix(tests): fix entrypoint in hub test * fix(tests): wait for gateway to be ready * fix(test): fix more tests * feat(flow): do rolling update and scale sequentially * fix(tests): fix more tests * style: fix overload and cli autocomplete * feat: star routing hanging pods (#4011) * fix: try to handle hanging pods better * test: hanging pods test work * fix: fix topology graph problem * test: add unit test to graph * fix(tests): fix k8s tests * fix(test): fix k8s test * fix(test): fix k8s pool test * fix(test): fix k8s test * fix(test): fix k8s connection pool setting * fix(tests): make runtime test more reliable * fix(test): fix routes test * fix(tests): make rolling update test less flaky * feat(network): gurantee unique ports * feat(network): do round robin for shards * fix(ci): increase pytest timeout to 10 min Co-authored-by: Jina Dev Bot <[email protected]> Co-authored-by: Joan Fontanals <[email protected]> * fix(ci): fix ci file * feat(daemon): jinad pod for star routing * Revert "feat(daemon): jinad pod for star routing" This reverts commit ed9b37ac862af2e2e8d52df1ee51c0c331d76f92. * feat(daemon): remote jinad pod support (#4042) * feat(daemon): add pod tests for star routing * feat(daemon): add remote pod test * test(daemon): add remote pod arguments test * test(daemon): add async scale test * test(daemon): add rolling update test * test(daemon): fix host * feat(proto): remove message proto (#4051) * feat(proto): remove message proto * fix(tests): fix tests * fix(tests): fix some more tests * fix(tests): fix more tests * fix(tests): fix more tests * fix(tests): fix more tests * fix(tests): fix more tests * feat(proto): put docs back in data * fix(proto): clean up * feat(proto): clean up * fix(tests): skip latency tracking * fix(test): fix hub test * fix(tests): fix k8s test * fix(test): some test clean up * fix(style): clean up style issues * feat(proto): adjust for rebase * fix(tests): bring back latency tracking * fix(tests): fix merge accident * feat(proto): skip request serialization (#4074) * feat: add reduce to star routing (#4070) * feat: add reduce on shards to head runtime * test: add reduce integration tests with fixed order * feat: add reduce on needs * chore: get_docs_matrix_from_request becomes public * style: fix overload and cli autocomplete * docs: remove undeterministic results warning * fix: fix uses_after * test: assert correct num docs after reducing in test_external_pod * test: correct asserts after reduce in test_rolling_update * fix: no reduce if uses_after_address is set * fix: get_docs_from_request only if needed * fix: fix tests after merge * refactor: move reduce from data_request_handler to head * style: fix overload and cli autocomplete * chore: apply suggestions * fix: fix asserts * chore: minor test fix * chore: apply suggestions * test: remove flow tests with external executor (pea) * fix: fix test_expected_messages_routing * fix: fix test_func_joiner * test: adapt k8s test Co-authored-by: Jina Dev Bot <[email protected]> * fix(k8s): fix static pool config * fix: use custom protoc doc generator image (#4088) * fix: use custom protoc doc generator image * fix(docs): minor doc improvement * fix(docs): use custom image * fix(docs): copy docarray * fix: doc building local only * fix: timeout doc building * fix: use updated args when building ContainerPea * test: add container PeaFactory test * fix: force pea close on windows (#4098) * fix: dont reduce if uses exist (#4099) * fix: dont use reduce if uses exist * fix: adjust reduce tests * fix: adjust more reduce tests * fix: fix more tests * fix: adjust more tests * fix: ignore non jina resources (#4101) * feat(executor): enable async executors (#4102) * feat(daemon): daemon flow on star routing (#4096) * test(daemon): add remote flow test * feat(daemon): call scale in daemon * feat(daemon): remove tail args and identity * test(daemon): rename scalable executor * test(daemon): add a small delay in async test * feat(daemon): scale partial flow only * feat(daemon): call scale directly in partial flow store * test(daemon): use asyncio sleep * feat(daemon): enable flow level distributed tests * test(daemon): fix jinad env workspace config * test(daemon): fix pod test use new port rolling update * feat(daemon): enable distribuetd tests * test(daemon): remove duplicate tests and zed runtime test * test(daemon): fix stores unit test * feat(daemon): enable part of distributed tests * feat(daemon): enable part of distributed tests * test: correct test paths * test(daemon): add client test for remote flows * test(daemon): send a request with jina client * test(daemon): assert async generator * test(daemon): small interval between tests * test(daemon): add flow test for container runtime * test(daemon): add flow test for container runtime * test(daemon): fix executor name * test(daemon): fix executor name * test(daemon): use async client fetch result * test(daemon): finish container flow test * test(daemon): enable distributed in ci * test(daemon): enable distributed in ci * test(daemon): decare flows and pods * test(daemon): debug ci if else * test(daemon): debug ci if else * test(daemon): decare flows and pods * test(daemon): correct test paths * test(daemon): add small delay for async tests * fix: star routing fixes (#4100) * docs: update docs * fix: fix Request.__repr__ * docs: update flow remarks * docs: fix typo * test: add non_empty_fields test * chore: remove non_empty_fields test * feat: polling per endpoint (#4111) * feat(polling): polling per endpoint configurable * fix: adjust tests * feat(polling): extend documentation * style: fix overload and cli autocomplete * fix: clean up * fix: adjust more tests * fix: remove repeat from flaky test * fix: k8s test * feat(polling): address pr feedback * feat: improve docs Co-authored-by: Jina Dev Bot <[email protected]> * feat(grpc): support connect grpc server via ssl tunnel (#4092) * feat(grpc): support ssl grpc connect if port is 443 * fix(grpc): use https option instead of detect port automatically * chore: fix typo * fix: update jina/peapods/networking.py Co-authored-by: Joan Fontanals <[email protected]> * fix: update jina/peapods/networking.py Co-authored-by: Joan Fontanals <[email protected]> * fix: update jina/peapods/networking.py Co-authored-by: Joan Fontanals <[email protected]> * test(networking): add test for peapods networking * fix: address comments Co-authored-by: Joan Fontanals <[email protected]> * feat(polling): unify polling args (#4113) * fix: several issues for jinad pods (#4119) * fix: activate for jinad pods * fix: dont expose worker pod in partial daemon * fix: workspace setting * fix: containerized flows * fix: hub test * feat(daemon): remote peas on star routing (#4112) * test(daemon): fix request in peas * test(daemon): fix request in peas * test(daemon): fix sync async client test * test(daemon): enable remote peas test * test(daemon): replace send message to send request * test(daemon): declare pea tests in ci * test(daemon): use pea args fixture * test(daemon): head pea use default host * test(daemon): fix peas topologies * test(daemon): fix pseudo naming * test(daemon): use default host as host * test(daemon): fix executor path * test(daemon): add remote worker back * test(daemon): skip local remote remote topology * fix: jinad pea test setup * fix: jinad pea tests * fix: remove invalid assertion Co-authored-by: jacobowitz <[email protected]> * feat: enable daemon tests again (#4132) * feat: enable daemon tests again * fix: remove bogy empty script file * fix: more jinad test fixes * style: fix overload and cli autocomplete * fix: scale and ru in jinad * fix: fix more jinad tests Co-authored-by: Jina Dev Bot <[email protected]> * fix: fix flow test * fix: improve pea tests reliability (#4136) Co-authored-by: Joan Fontanals <[email protected]> Co-authored-by: Jina Dev Bot <[email protected]> Co-authored-by: Deepankar Mahapatro <[email protected]> Co-authored-by: bwanglzu <[email protected]> Co-authored-by: AlaeddineAbdessalem <[email protected]> Co-authored-by: Zhaofeng Miao <[email protected]>

def __reduce__(self): (serialized, _) = self._serialization_helper() # There is no outer object ref when the actor handle is # deserialized out-of-band using pickle. return ActorHandle._deserialization_helper, (serialized, None)

python/ray/actor.py

ray

Python

f084546d41f0533c1e9e96a7249532d0eb4ff47d

actor.py

__reduce__

https://github.com/ray-project/ray.git

Fix out-of-band deserialization of actor handle (#27700) When we deserialize actor handle via pickle, we will register it with an outer object ref equaling to itself which is wrong. For out-of-band deserialization, there should be no outer object ref. Signed-off-by: Jiajun Yao <[email protected]>

def validate_parameter_constraints(parameter_constraints, params, caller_name): if len(set(parameter_constraints) - set(params)) != 0: raise ValueError( f"The parameter constraints {list(parameter_constraints)}" " contain unexpected parameters" f" {set(parameter_constraints) - set(params)}" ) for param_name, param_val in params.items(): # We allow parameters to not have a constraint so that third party estimators # can inherit from sklearn estimators without having to necessarily use the # validation tools. if param_name not in parameter_constraints: continue constraints = parameter_constraints[param_name] if constraints == "no_validation": continue constraints = [make_constraint(constraint) for constraint in constraints] for constraint in constraints: if constraint.is_satisfied_by(param_val): # this constraint is satisfied, no need to check further. break else: # No constraint is satisfied, raise with an informative message. # Ignore constraints that we don't want to expose in the error message, # i.e. options that are for internal purpose or not officially supported. constraints = [ constraint for constraint in constraints if not constraint.hidden ] if len(constraints) == 1: constraints_str = f"{constraints[0]}" else: constraints_str = ( f"{', '.join([str(c) for c in constraints[:-1]])} or" f" {constraints[-1]}" ) raise ValueError( f"The {param_name!r} parameter of {caller_name} must be" f" {constraints_str}. Got {param_val!r} instead." )

sklearn/utils/_param_validation.py

scikit-learn

Python

91f02270a8f49e3e52882dc0fa634eff4d138fc8

_param_validation.py

validate_parameter_constraints

https://github.com/scikit-learn/scikit-learn.git

MAINT Add one-sided set differences for clarity in param validation (#23772) Co-authored-by: Jérémie du Boisberranger <[email protected]>

def from_bytes(b): if len(b) == 4: seconds = struct.unpack("!L", b)[0] nanoseconds = 0 elif len(b) == 8: data64 = struct.unpack("!Q", b)[0] seconds = data64 & 0x00000003FFFFFFFF nanoseconds = data64 >> 34 elif len(b) == 12: nanoseconds, seconds = struct.unpack("!Iq", b) else: raise ValueError( "Timestamp type can only be created from 32, 64, or 96-bit byte objects" ) return Timestamp(seconds, nanoseconds)

.venv/lib/python3.8/site-packages/pip/_vendor/msgpack/ext.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

ext.py

from_bytes

https://github.com/jindongwang/transferlearning.git

upd; format

def do_patch() -> None: from synapse.logging.context import current_context global _already_patched orig_inline_callbacks = defer.inlineCallbacks if _already_patched: return

synapse/util/patch_inline_callbacks.py

synapse

Python

fa0eab9c8e159b698a31fc7cfaafed643f47e284

patch_inline_callbacks.py

do_patch

https://github.com/matrix-org/synapse.git

Use `ParamSpec` in a few places (#12667)

def __rsub__(self, other): if isinstance(other, str_type): other = self._literalStringClass(other) if not isinstance(other, ParserElement): raise TypeError( "Cannot combine element of type {} with ParserElement".format( type(other).__name__ ) ) return other - self

pipenv/patched/notpip/_vendor/pyparsing/core.py

pipenv

Python

f3166e673fe8d40277b804d35d77dcdb760fc3b3

core.py

__rsub__

https://github.com/pypa/pipenv.git

check point progress on only bringing in pip==22.0.4 (#4966) * vendor in pip==22.0.4 * updating vendor packaging version * update pipdeptree to fix pipenv graph with new version of pip. * Vendoring of pip-shims 0.7.0 * Vendoring of requirementslib 1.6.3 * Update pip index safety restrictions patch for pip==22.0.4 * Update patches * exclude pyptoject.toml from black to see if that helps. * Move this part of the hash collection back to the top (like prior implementation) because it affects the outcome of this test now in pip 22.0.4

def _get_categorical_mapping(self, scale, data): levels = categorical_order(data, scale.order) n = len(levels) values = scale.values if isinstance(values, dict): self._check_dict_entries(levels, values) # TODO where to ensure that dict values have consistent representation? colors = [values[x] for x in levels] elif isinstance(values, list): colors = self._check_list_length(levels, scale.values) elif isinstance(values, tuple): colors = blend_palette(values, n) elif isinstance(values, str): colors = color_palette(values, n) elif values is None: if n <= len(get_color_cycle()): # Use current (global) default palette colors = color_palette(n_colors=n) else: colors = color_palette("husl", n) else: scale_class = scale.__class__.__name__ msg = " ".join([ f"Scale values for {self.variable} with a {scale_class} mapping", f"must be string, list, tuple, or dict; not {type(scale.values)}." ]) raise TypeError(msg) # If color specified here has alpha channel, it will override alpha property colors = self._standardize_colors(colors)

seaborn/_core/properties.py

seaborn

Python

a07ef69882ed76e09a0ed43d6f3ea33780c1b2be

properties.py

_get_categorical_mapping

https://github.com/mwaskom/seaborn.git

Transition mappings->properties, leaving a few loose ends

def generate_random_string(): import random import string return "".join(random.choices(string.ascii_uppercase + string.digits, k=8)) random_string = generate_random_string() # [START create_queue] create_queue = CloudTasksQueueCreateOperator( location=LOCATION, task_queue=Queue(stackdriver_logging_config=dict(sampling_ratio=0.5)), queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", retry=Retry(maximum=10.0), timeout=5, task_id="create_queue", ) # [END create_queue] # [START delete_queue] delete_queue = CloudTasksQueueDeleteOperator( location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", task_id="delete_queue", ) # [END delete_queue] delete_queue.trigger_rule = TriggerRule.ALL_DONE # [START resume_queue] resume_queue = CloudTasksQueueResumeOperator( location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", task_id="resume_queue", ) # [END resume_queue] # [START pause_queue] pause_queue = CloudTasksQueuePauseOperator( location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", task_id="pause_queue", ) # [END pause_queue] # [START purge_queue] purge_queue = CloudTasksQueuePurgeOperator( location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", task_id="purge_queue", ) # [END purge_queue] # [START get_queue] get_queue = CloudTasksQueueGetOperator( location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", task_id="get_queue", ) get_queue_result = BashOperator( task_id="get_queue_result", bash_command=f"echo {get_queue.output}", ) # [END get_queue] # [START update_queue] update_queue = CloudTasksQueueUpdateOperator( task_queue=Queue(stackdriver_logging_config=dict(sampling_ratio=1)), location=LOCATION, queue_name=QUEUE_ID + "{{ task_instance.xcom_pull(task_ids='random_string') }}", update_mask=FieldMask(paths=["stackdriver_logging_config.sampling_ratio"]), task_id="update_queue", ) # [END update_queue] # [START list_queue] list_queue = CloudTasksQueuesListOperator(location=LOCATION, task_id="list_queue") # [END list_queue] chain( random_string, create_queue, update_queue, pause_queue, resume_queue, purge_queue, get_queue, get_queue_result, list_queue, delete_queue, ) from tests.system.utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from tests.system.utils import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest) test_run = get_test_run(dag)

tests/system/providers/google/tasks/example_queue.py

airflow

Python

3977e1798d8294ba628b5f330f43702c1a5c79fc

example_queue.py

generate_random_string

https://github.com/apache/airflow.git

CloudTasks assets & system tests migration (AIP-47) (#23282)

def test_resource_requirements_none(mock_get_all_node_ids, mock_deployment_state):

python/ray/serve/tests/test_deployment_state.py

ray

Python

65d0c0aa48be8f9f7faae857d3ab71444997755a

test_deployment_state.py

test_resource_requirements_none

https://github.com/ray-project/ray.git

[Serve] add alpha gRPC support (#28175)

def host_local_array_to_global_array(local_inputs, global_mesh, pspecs): def _convert(arr, pspec): if isinstance(arr, array.ArrayImpl) and isinstance(arr.sharding, PmapSharding): arr = np.array(arr) local_sharding = MeshPspecSharding(global_mesh.local_mesh, pspec) arrays = [ device_put(arr[index], d) for d, index in local_sharding.devices_indices_map(arr.shape).items() ] global_aval = global_mesh._local_to_global( pxla._get_array_mapping(pspec), core.ShapedArray(arr.shape, arrays[0].dtype)) return array.ArrayImpl(global_aval, MeshPspecSharding(global_mesh, pspec), arrays, committed=True) flattened_inps, in_tree = tree_flatten(local_inputs) in_pspecs = flatten_axis_resources( 'input pspecs', in_tree, pspecs, tupled_args=True) out = tree_map(_convert, tuple(flattened_inps), in_pspecs) return tree_unflatten(in_tree, out)

jax/experimental/pjit.py

jax

Python

4da72cf3988b4918f65b1401e46c40b7c4504963

pjit.py

host_local_array_to_global_array

https://github.com/google/jax.git

Add `host_local_array_to_global_array` and `global_array_to_host_local_array` for enabling transition to jax.Array. Also support `FROM_GDA` for `jax.Array` as a backwards compatible change so that users can continue to use that until they transition to jax.Array. Its currently required because of usage like `in_axis_resources = (FROM_GDA, FROM_GDA, P('data'), None)` and changing this on users side will require input from users so we as JAX can just support it as a temporary thing since GDA and Array act similarly in pjit. PiperOrigin-RevId: 479035326

def telemetry_write_key() -> Optional[Text]: return _fetch_write_key("segment", TELEMETRY_WRITE_KEY_ENVIRONMENT_VARIABLE)

rasa/telemetry.py

rasa

Python

6339856514897056716bb531acb8489c9cf05d26

telemetry.py

telemetry_write_key

https://github.com/RasaHQ/rasa.git

Add support for different recipes (#10641) * Add support for different recipes Fixes https://github.com/RasaHQ/rasa/issues/10473 * Update docs/docs/graph-recipe.mdx Co-authored-by: Joe Juzl <[email protected]>

def testClusterAutoscaling(self): self.cluster.update_config( { "provider": {"head_resources": {"CPU": 4, "GPU": 0}}, } ) self.cluster.start() self.cluster.connect(client=True, timeout=120) self.assertGreater(ray.cluster_resources().get("CPU", 0), 0) # Trigger autoscaling pg = ray.util.placement_group([{"CPU": 1, "GPU": 1}] * 2) timeout = time.monotonic() + 120 while ray.cluster_resources().get("GPU", 0) < 2: if time.monotonic() > timeout: raise RuntimeError("Autoscaling failed or too slow.") time.sleep(1) # Schedule task with resources self.assertEquals( 5, ray.get( remote_task.options( num_cpus=1, num_gpus=1, scheduling_strategy=PlacementGroupSchedulingStrategy( placement_group=pg ), ).remote(5) ), ) print("Autoscaling worked") ray.util.remove_placement_group(pg) time.sleep(2) # Give some time so nodes.json is updated self.cluster.kill_node(num=2) print("Killed GPU node.") pg = ray.util.placement_group([{"CPU": 1, "GPU": 1}] * 2) table = ray.util.placement_group_table(pg) assert table["state"] == "PENDING" timeout = time.monotonic() + 180 while table["state"] != "CREATED": if time.monotonic() > timeout: raise RuntimeError("Re-starting killed node failed or too slow.") time.sleep(1) table = ray.util.placement_group_table(pg) print("Node was restarted.")

python/ray/tune/tests/test_multinode_sync.py

ray

Python

57cdbb1769a9c32972ba0ec9e7e857eeea961869

test_multinode_sync.py

testClusterAutoscaling

https://github.com/ray-project/ray.git

Migrate the deprecated placement_group option to PlacementGroupSchedulingStrategy (#28437) placement_group option is deprecated, use PlacementGroupSchedulingStrategy instead.

def _from_module(self, module, object): if module is None: return True elif inspect.getmodule(object) is not None: return module is inspect.getmodule(object) elif inspect.isfunction(object): return module.__dict__ is object.__globals__ elif inspect.ismethoddescriptor(object): if hasattr(object, '__objclass__'): obj_mod = object.__objclass__.__module__ elif hasattr(object, '__module__'): obj_mod = object.__module__ else: return True # [XX] no easy way to tell otherwise return module.__name__ == obj_mod elif inspect.isclass(object): return module.__name__ == object.__module__ elif hasattr(object, '__module__'): return module.__name__ == object.__module__ elif isinstance(object, property): return True # [XX] no way not be sure. else: raise ValueError("object must be a class or function")

python3.10.4/Lib/doctest.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

doctest.py

_from_module

https://github.com/XX-net/XX-Net.git

add python 3.10.4 for windows

def add_prefix(self, field_name): return "%s-%s" % (self.prefix, field_name) if self.prefix else field_name

django/forms/forms.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

forms.py

add_prefix

https://github.com/django/django.git

Refs #33476 -- Reformatted code with Black.

def arc_tangent(value, default=_SENTINEL): try: return math.atan(float(value)) except (ValueError, TypeError): if default is _SENTINEL: raise_no_default("atan", value) return default

homeassistant/helpers/template.py

core

Python

4885331509eeffe50f42d76b234996467b06170f

template.py

arc_tangent

https://github.com/home-assistant/core.git

Fail template functions when no default specified (#71687)

def master_target(self): return self._master_target

keras/distribute/distribute_coordinator_utils.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

distribute_coordinator_utils.py

master_target

https://github.com/keras-team/keras.git

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def new(key, msg=None, digestmod=''): return HMAC(key, msg, digestmod)

python3.10.4/Lib/hmac.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

hmac.py

new

https://github.com/XX-net/XX-Net.git

add python 3.10.4 for windows

def test_websocket_connect(self): with patch( "streamlit.server.server.LocalSourcesWatcher" ), self._patch_app_session(): yield self.start_server_loop() self.assertFalse(self.server.browser_is_connected) # Open a websocket connection ws_client = yield self.ws_connect() self.assertTrue(self.server.browser_is_connected) # Get this client's SessionInfo object self.assertEqual(1, len(self.server._session_info_by_id)) session_info = list(self.server._session_info_by_id.values())[0] # Close the connection ws_client.close() yield gen.sleep(0.1) self.assertFalse(self.server.browser_is_connected) # Ensure AppSession.shutdown() was called, and that our # SessionInfo was cleared. session_info.session.shutdown.assert_called_once() self.assertEqual(0, len(self.server._session_info_by_id))

lib/tests/streamlit/server_test.py

streamlit

Python

704eab3478cf69847825b23dabf15813a8ac9fa2

server_test.py

test_websocket_connect

https://github.com/streamlit/streamlit.git

Rename and refactor `Report` machinery (#4141) This refactor renames (almost) everything related to the outdated "report" concept with more precise concepts that we use throughout our code, primarily "script run", "session", and "app".

def call_find(self, other_args): parser = argparse.ArgumentParser( prog="find", add_help=False, formatter_class=argparse.ArgumentDefaultsHelpFormatter, description=, ) parser.add_argument( "-c", "--coin", help="Symbol Name or Id of Coin", dest="coin", required="-h" not in other_args, type=str, ) parser.add_argument( "-k", "--key", dest="key", help="Specify by which column you would like to search: symbol, name, id", type=str, choices=FIND_KEYS, default="symbol", ) parser.add_argument( "-l", "--limit", default=10, dest="limit", help="Number of records to display", type=check_positive, ) parser.add_argument( "-s", "--skip", default=0, dest="skip", help="Skip n of records", type=check_positive, ) if other_args and not other_args[0][0] == "-": other_args.insert(0, "-c") ns_parser = self.parse_known_args_and_warn( parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED, ) # TODO: merge find + display_all_coins if ns_parser: if ns_parser.coin == "ALL": display_all_coins( symbol=ns_parser.coin, source=ns_parser.source, limit=ns_parser.limit, skip=ns_parser.skip, show_all=True, export=ns_parser.export, ) else: find( query=ns_parser.coin, source=ns_parser.source, key=ns_parser.key, limit=ns_parser.limit, export=ns_parser.export, )

openbb_terminal/cryptocurrency/crypto_controller.py

OpenBBTerminal

Python

09f753da1c2a2f03c41fe6a3ca2eb79f6ea58995

crypto_controller.py

call_find

https://github.com/OpenBB-finance/OpenBBTerminal.git

More Fixes to Crypto + key sort (#3244) * fix #3095 - autocomplete and command working + key sort * fix #3056 * fix [Bug] bugs #3048 * fix [Bug] bug #3017 * sort -> sortby, not ascend, tests * fix my goof ups Co-authored-by: james <[email protected]>

def load_file(file_location=None): if str(file_location).endswith(".ini"): params = configparser.RawConfigParser() params.read(file_location) params.optionxform = str # type: ignore params = params["OPENBB"] if "technique" in params: current_model = params["technique"] else: current_model = None elif str(file_location).endswith(".xlsx"): params, _ = excel_model.load_configuration(file_location) current_model = params["technique"] else: console.print( "Can not load in the file due to not being an .ini or .xlsx file." ) return None, None max_len = max(len(k) for k in params.keys()) help_text = "[info]Parameters:[/info]\n" if current_model: for k, v in params.items(): all_params = DEFAULT_PARAMETERS + MODEL_PARAMS[current_model] if k in all_params: help_text += f" [param]{k}{' ' * (max_len - len(k))} :[/param] {v}\n" else: for k, v in params.items(): help_text += f" [param]{k}{' ' * (max_len - len(k))} :[/param] {v}\n" console.print(help_text) return params, current_model

openbb_terminal/portfolio/portfolio_optimization/parameters/params_view.py

OpenBBTerminal

Python

34bc290dded1bd2418fc3c6b375a79f9cdd68d5a

params_view.py

load_file

https://github.com/OpenBB-finance/OpenBBTerminal.git

New portfolio optimization menu (#1642) * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * Update _index.md * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * configure portfolio optimization parameters ini * minor improvement * Revert "New-Portfolio-Optimization-Menu" This reverts commit b4b7169cfbc8f28c379eb1920307c2cdd2e47a0f. * Add in Excel functionality and improve the capabilities * Add Excel load function * Tidying up the functions * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * Re-add my code * Some spacing and details * Add folder structure for portfolio * Update terminal file loading * New-Portfolio-Optimization-Menu * Make it possible to move from params to po with loaded file * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * Making the connection between the parameters file and the functions * Add in allocation and new params files * Improve params default settings * New-Portfolio-Optimization-Menu * Update Portfolios and Params sheets * Update sheets * Update command to load in correct sheet * Adjust function to only read specific columns * Update portfolio * Small correction * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * Patched up show error * Add Equity portfolio * Make functions more robust * New-Portfolio-Optimization-Menu * New-Portfolio-Optimization-Menu * Add in Params documentation * Fixing Linting * Add in Requirements and Poetry Updates * Update website * linting * Update tests * Minor fix * remove unneccesary READMEs * Remove expected variable type * Improve documentation * Clean up the code * Refractoring * Adjust names to make it OS friendly Co-authored-by: Jeroen Bouma <[email protected]> Co-authored-by: jmaslek <[email protected]> Co-authored-by: Colin Delahunty <[email protected]> Co-authored-by: DidierRLopes <[email protected]>

def showticklabels(self): return self["showticklabels"]

packages/python/plotly/plotly/graph_objs/bar/marker/_colorbar.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_colorbar.py

showticklabels

https://github.com/plotly/plotly.py.git

switch to black .22

def get_trial_id() -> str: return _trial_id

nni/trial.py

nni

Python

553e91f4205b286ce7d71142f517c010bbcefac7

trial.py

get_trial_id

https://github.com/microsoft/nni.git

Update trial and experiment docstr (#4672)

def make_stock_entry(**args): def process_serial_numbers(serial_nos_list): serial_nos_list = [ "\n".join(serial_num["serial_no"] for serial_num in serial_nos_list if serial_num.serial_no) ] uniques = list(set(serial_nos_list[0].split("\n"))) return "\n".join(uniques) s = frappe.new_doc("Stock Entry") args = frappe._dict(args) if args.posting_date or args.posting_time: s.set_posting_time = 1 if args.posting_date: s.posting_date = args.posting_date if args.posting_time: s.posting_time = args.posting_time if args.inspection_required: s.inspection_required = args.inspection_required # map names if args.from_warehouse: args.source = args.from_warehouse if args.to_warehouse: args.target = args.to_warehouse if args.item_code: args.item = args.item_code if args.apply_putaway_rule: s.apply_putaway_rule = args.apply_putaway_rule if isinstance(args.qty, str): if "." in args.qty: args.qty = flt(args.qty) else: args.qty = cint(args.qty) # purpose if not args.purpose: if args.source and args.target: s.purpose = "Material Transfer" elif args.source: s.purpose = "Material Issue" else: s.purpose = "Material Receipt" else: s.purpose = args.purpose # company if not args.company: if args.source: args.company = frappe.db.get_value("Warehouse", args.source, "company") elif args.target: args.company = frappe.db.get_value("Warehouse", args.target, "company") # set vales from test if frappe.flags.in_test: if not args.company: args.company = "_Test Company" if not args.item: args.item = "_Test Item" s.company = args.company or erpnext.get_default_company() s.purchase_receipt_no = args.purchase_receipt_no s.delivery_note_no = args.delivery_note_no s.sales_invoice_no = args.sales_invoice_no s.is_opening = args.is_opening or "No" if not args.cost_center: args.cost_center = frappe.get_value("Company", s.company, "cost_center") if not args.expense_account and s.is_opening == "No": args.expense_account = frappe.get_value("Company", s.company, "stock_adjustment_account") # We can find out the serial number using the batch source document serial_number = args.serial_no if not args.serial_no and args.qty and args.batch_no: serial_number_list = frappe.get_list( doctype="Stock Ledger Entry", fields=["serial_no"], filters={"batch_no": args.batch_no, "warehouse": args.from_warehouse}, ) serial_number = process_serial_numbers(serial_number_list) args.serial_no = serial_number s.append( "items", { "item_code": args.item, "s_warehouse": args.source, "t_warehouse": args.target, "qty": args.qty, "basic_rate": args.rate or args.basic_rate, "conversion_factor": args.conversion_factor or 1.0, "transfer_qty": flt(args.qty) * (flt(args.conversion_factor) or 1.0), "serial_no": args.serial_no, "batch_no": args.batch_no, "cost_center": args.cost_center, "expense_account": args.expense_account, }, ) s.set_stock_entry_type() if not args.do_not_save: s.insert() if not args.do_not_submit: s.submit() return s

erpnext/stock/doctype/stock_entry/stock_entry_utils.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

stock_entry_utils.py

make_stock_entry

https://github.com/frappe/erpnext.git

style: format code with black

def get_one_match(expr, lines): # member names in the ld_headers output are between square brackets expr = rf'\[({expr})\]' matches = list(filter(None, (re.search(expr, line) for line in lines))) if len(matches) == 1: return matches[0].group(1) else: return None # additional processing to deal with AIX legacy names for 64-bit members

python3.10.4/Lib/ctypes/_aix.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

_aix.py

get_one_match

https://github.com/XX-net/XX-Net.git

add python 3.10.4 for windows

def test_config_validation_for_choices_workaround(business_client, project_id): payload = { 'label_config': '<View><Text name="artist" /><View><Choices name="choices_1" toName="artist"><Choice name="choice_1" value="1"/></Choices></View><View><Choices name="choices_2" toName="artist"><Choice name="choice_2" value="2"/></Choices></View></View>'} response = business_client.patch( f"/api/projects/{project_id}", data=json.dumps(payload), content_type="application/json", ) assert response.status_code == 200 payload = { 'label_config': '<View><Text name="artist" /><View><Choices name="choices_1" toName="artist"><Choice name="choice_1" value="1"/></Choices><Choices name="choices_2" toName="artist"><Choice name="choice_2" value="2"/></Choices></View></View>'} response = business_client.patch( f"/api/projects/{project_id}", data=json.dumps(payload), content_type="application/json", ) assert response.status_code == 200

label_studio/tests/test_config_validation.py

label-studio

Python

e3c87a8a709006f9064b8c32782fbd5461bd0d1d

test_config_validation.py

test_config_validation_for_choices_workaround

https://github.com/heartexlabs/label-studio.git

fix: DEV-4035: Fix single choice workaround for several choices tags (#3319) * fix: DEV-3635: Fix single choice workaround for several choices tags

def get_count(self, dttm_filter, session, states) -> int: TI = TaskInstance DR = DagRun if not dttm_filter: return 0 if self.external_task_ids: count = ( session.query(func.count()) # .count() is inefficient .filter( TI.dag_id == self.external_dag_id, TI.task_id.in_(self.external_task_ids), TI.state.in_(states), TI.execution_date.in_(dttm_filter), ) .scalar() ) count = count / len(self.external_task_ids) else: count = ( session.query(func.count()) .filter( DR.dag_id == self.external_dag_id, DR.state.in_(states), DR.execution_date.in_(dttm_filter), ) .scalar() ) return count

airflow/sensors/external_task.py

airflow

Python

baf50cddd86ac07f064c8cbd95efb22d038b3832

external_task.py

get_count

https://github.com/apache/airflow.git

Fix tests for mssql after SQLA 1.4 upgrade (#21303) The way SQLA 1.4 constructed the query then `exeuction_date.in_([])` changed, and as a result it started failing. But we don't even need to ask the database in this case, as we know it won't return any rows.

async def test_boost_mode(hass, aioclient_mock, mock_deconz_websocket): data = { "sensors": { "0": { "config": { "battery": 58, "heatsetpoint": 2200, "locked": False, "mode": "heat", "offset": -200, "on": True, "preset": "manual", "reachable": True, "schedule": {}, "schedule_on": False, "setvalve": False, "windowopen_set": False, }, "ep": 1, "etag": "404c15db68c318ebe7832ce5aa3d1e30", "lastannounced": "2022-08-31T03:00:59Z", "lastseen": "2022-09-19T11:58Z", "manufacturername": "_TZE200_b6wax7g0", "modelid": "TS0601", "name": "Thermostat", "state": { "lastupdated": "2022-09-19T11:58:24.204", "lowbattery": False, "on": False, "temperature": 2200, "valve": 0, }, "type": "ZHAThermostat", "uniqueid": "84:fd:27:ff:fe:8a:eb:89-01-0201", } } } with patch.dict(DECONZ_WEB_REQUEST, data): config_entry = await setup_deconz_integration(hass, aioclient_mock) assert len(hass.states.async_all()) == 3 climate_thermostat = hass.states.get("climate.thermostat") assert climate_thermostat.state == HVACMode.HEAT assert climate_thermostat.attributes["preset_mode"] is DECONZ_PRESET_MANUAL assert climate_thermostat.attributes["hvac_action"] is HVACAction.IDLE # Event signals thermostat preset boost and valve 100 (real data) event_changed_sensor = { "t": "event", "e": "changed", "r": "sensors", "id": "0", "config": {"preset": "boost"}, "state": {"valve": 100}, } await mock_deconz_websocket(data=event_changed_sensor) await hass.async_block_till_done() climate_thermostat = hass.states.get("climate.thermostat") assert climate_thermostat.attributes["preset_mode"] is PRESET_BOOST assert climate_thermostat.attributes["hvac_action"] is HVACAction.HEATING # Verify service calls mock_deconz_put_request(aioclient_mock, config_entry.data, "/sensors/0/config")

tests/components/deconz/test_climate.py

core

Python

7a6897c7578dffd6b67f57747ebd81b67b153e01

test_climate.py

test_boost_mode

https://github.com/home-assistant/core.git

Add deconz current hvac operation to thermostate based on "state" (#59989) * deconz - add current hvac operation to thermostate based on "state" * deconz - extend current hvac operation to thermostate based on "state" and "mode" * Add tests for current hvac action * Add boost mode as special case * format using Black * sort imports * Add test for device with mode none and state none * Update homeassistant/components/deconz/climate.py Co-authored-by: Robert Svensson <[email protected]> * Fix test_climate.py test_no_mode_no_state * Add test for boost mode Co-authored-by: Robert Svensson <[email protected]>

def exp_var(self): var1 = self.y_pred_true.selectExpr("variance(label - prediction)").collect()[0][ 0 ] var2 = self.y_pred_true.selectExpr("variance(label)").collect()[0][0] # numpy divide is more tolerant to var2 being zero return 1 - np.divide(var1, var2)

recommenders/evaluation/spark_evaluation.py

recommenders

Python

4637482026d2afc5dd93e1fdce6a3c9285427062

spark_evaluation.py

exp_var

https://github.com/microsoft/recommenders.git

use numpy divide in explained variance

def center_to_corners_format(x): x_center, y_center, width, height = x.unbind(-1) boxes = [(x_center - 0.5 * width), (y_center - 0.5 * height), (x_center + 0.5 * width), (y_center + 0.5 * height)] return torch.stack(boxes, dim=-1)

src/transformers/models/owlvit/feature_extraction_owlvit.py

transformers

Python

12d66b47012c9258f9557e6d3a0c13bcd1c72871

feature_extraction_owlvit.py

center_to_corners_format

https://github.com/huggingface/transformers.git

Add OWL-ViT model for zero-shot object detection (#17938) * add owlvit model skeleton * add class and box predictor heads * convert modified flax clip to pytorch * fix box and class predictors * add OwlViTImageTextEmbedder * convert class and box head checkpoints * convert image text embedder checkpoints * add object detection head * fix bugs * update conversion script * update conversion script * fix q,v,k,out weight conversion conversion * add owlvit object detection output * fix bug in image embedder * fix bugs in text embedder * fix positional embeddings * fix bug in inference mode vision pooling * update docs, init tokenizer and processor files * support batch processing * add OwlViTProcessor * remove merge conflicts * readd owlvit imports * fix bug in OwlViTProcessor imports * fix bugs in processor * update docs * fix bugs in processor * update owlvit docs * add OwlViTFeatureExtractor * style changes, add postprocess method to feature extractor * add feature extractor and processor tests * add object detection tests * update conversion script * update config paths * update config paths * fix configuration paths and bugs * fix bugs in OwlViT tests * add import checks to processor * fix docs and minor issues * fix docs and minor issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * fix bugs and issues * update docs and examples * fix bugs and issues * update conversion script, fix positional embeddings * process 2D input ids, update tests * fix style and quality issues * update docs * update docs and imports * update OWL-ViT index.md * fix bug in OwlViT feature ext tests * fix code examples, return_dict by default * return_dict by default * minor fixes, add tests to processor * small fixes * add output_attentions arg to main model * fix bugs * remove output_hidden_states arg from main model * update self.config variables * add option to return last_hidden_states * fix bug in config variables * fix copied from statements * fix small issues and bugs * fix bugs * fix bugs, support greyscale images * run fixup * update repo name * merge OwlViTImageTextEmbedder with obj detection head * fix merge conflict * fix merge conflict * make fixup * fix bugs * fix bugs * add additional processor test

def _sort_key(self, candidate): # type: (InstallationCandidate) -> CandidateSortingKey valid_tags = self._supported_tags support_num = len(valid_tags) build_tag = () # type: BuildTag binary_preference = 0 link = candidate.link if link.is_wheel: # can raise InvalidWheelFilename wheel = Wheel(link.filename) try: pri = -(wheel.find_most_preferred_tag( valid_tags, self._wheel_tag_preferences )) except ValueError: raise UnsupportedWheel( "{} is not a supported wheel for this platform. It " "can't be sorted.".format(wheel.filename) ) if self._prefer_binary: binary_preference = 1 if wheel.build_tag is not None: match = re.match(r'^(\d+)(.*)$', wheel.build_tag) build_tag_groups = match.groups() build_tag = (int(build_tag_groups[0]), build_tag_groups[1]) else: # sdist pri = -(support_num) has_allowed_hash = int(link.is_hash_allowed(self._hashes)) yank_value = -1 * int(link.is_yanked) # -1 for yanked. return ( has_allowed_hash, yank_value, binary_preference, candidate.version, pri, build_tag, )

.venv/lib/python3.8/site-packages/pip/_internal/index/package_finder.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

package_finder.py

_sort_key

https://github.com/jindongwang/transferlearning.git

upd; format

def extract(self) -> str: return self._src.extract()

pipenv/vendor/tomlkit/parser.py

pipenv

Python

8faa74cdc9da20cfdcc69f5ec29b91112c95b4c9

parser.py

extract

https://github.com/pypa/pipenv.git

Update tomlkit==0.9.2 Used: python -m invoke vendoring.update --package=tomlkit

def cumsum(x, axis=0): return tf.cumsum(x, axis=axis) @keras_export("keras.backend.cumprod") @tf.__internal__.dispatch.add_dispatch_support @doc_controls.do_not_generate_docs

keras/backend.py

@keras_export("keras.backend.cumprod") @tf.__internal__.dispatch.add_dispatch_support @doc_controls.do_not_generate_docs

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

backend.py

cumsum

https://github.com/keras-team/keras.git

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def is_done(self, best_sum_logprobs, cur_len): if len(self) < self.num_beams: return False elif self.early_stopping: return True else: cur_score = best_sum_logprobs / cur_len**self.length_penalty ret = self.worst_score >= cur_score return ret

src/transformers/generation_tf_utils.py

transformers

Python

7732d0fe7a759c9844215920e9f1c5540eafb1a6

generation_tf_utils.py

is_done

https://github.com/huggingface/transformers.git

Upgrade black to version ~=22.0 (#15565) * Upgrade black to version ~=22.0 * Check copies * Fix code

def test_dataset_shard_with_only_local(self): config = { "input": "dataset", "input_config": {"format": "json", "paths": self.dset_path}, } # two ways of doing this: # we have no remote workers _, shards = get_dataset_and_shards(config, num_workers=0) assert len(shards) == 1 assert isinstance(shards[0], ray.data.Dataset)

rllib/offline/tests/test_dataset_reader.py

ray

Python

569fe0109629048d08e1d9e023f7769f10bd2244

test_dataset_reader.py

test_dataset_shard_with_only_local

https://github.com/ray-project/ray.git

[RLlib] improved unittests for dataset_reader and fixed bugs (#26458)

def for_all_test_methods(decorator, *args, **kwargs):

keras/testing_infra/test_utils.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

test_utils.py

for_all_test_methods

https://github.com/keras-team/keras.git

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def get_theme_dir(name): theme = get_themes()[name] return os.path.dirname(os.path.abspath(theme.load().__file__))

mkdocs/utils/__init__.py

mkdocs

Python

e7f07cc82ab2be920ab426ba07456d8b2592714d

__init__.py

get_theme_dir

https://github.com/mkdocs/mkdocs.git

Remove spaces at the ends of docstrings, normalize quotes

def test_cache() -> None: ledger_store = DictLedgerStore() user_key = b"1322" ledger = DataSubjectLedger.get_or_create(store=ledger_store, user_key=user_key) assert ( ledger._cache_constant2epsilon[0] == 0.05372712063485988 ), "The first value in the cache is incorrect" assert ( ledger._cache_constant2epsilon[1] == 0.07773597369831031 ), "Has the DP cache been changed?" rdp_700k = convert_constants_to_indices(np.array([700_000])) assert ( ledger._cache_constant2epsilon.take(rdp_700k)[0] == 706213.1816144075 ), "Has the DP cache been changed?" rdp_50 = convert_constants_to_indices(np.array([50])) assert ( ledger._cache_constant2epsilon.take(rdp_50)[0] == 100.68990516105825 ), "Has the DP cache been changed?" assert ( len(ledger._cache_constant2epsilon) >= 1_200_000 ), "Has the cache been changed?"

packages/syft/tests/syft/core/adp/data_subject_ledger_test.py

PySyft

Python

61f4138eeb028287425f6007d692bf7faa808e75

data_subject_ledger_test.py

test_cache

https://github.com/OpenMined/PySyft.git

Add tests for ledger and cache

def _apply_scores(self, scores, value, scores_mask=None, training=None): if scores_mask is not None: padding_mask = tf.logical_not(scores_mask) # Bias so padding positions do not contribute to attention distribution. # Note 65504. is the max float16 value. if scores.dtype is tf.float16: scores -= 65504.0 * tf.cast(padding_mask, dtype=scores.dtype) else: scores -= 1.0e9 * tf.cast(padding_mask, dtype=scores.dtype) if training is None: training = backend.learning_phase() weights = tf.nn.softmax(scores)

keras/layers/attention/base_dense_attention.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

base_dense_attention.py

_apply_scores

https://github.com/keras-team/keras.git

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def drain_call_queue(self, num_splits=None):

modin/core/execution/ray/implementations/pandas_on_ray/partitioning/virtual_partition.py

modin

Python

3d4404e9d9a9b2a3327f8aee664a8e71ac1f18b8

virtual_partition.py

drain_call_queue

https://github.com/modin-project/modin.git

FEAT-#4412: Add Batch Pipeline API to Modin (#4452) Co-authored-by: Yaroslav Igoshev <[email protected]> Co-authored-by: Mahesh Vashishtha <[email protected]> Signed-off-by: Rehan Durrani <[email protected]>

def has_completed_sso(request, organization_id) -> bool: sso_session_in_request = request.session.get( SsoSession.django_session_key(organization_id), None ) if not sso_session_in_request: metrics.incr("sso.no-value-in-session") return False django_session_value = SsoSession.from_django_session_value( organization_id, sso_session_in_request ) if not django_session_value.is_sso_authtime_fresh(): metrics.incr("sso.session-timed-out") return False metrics.incr("sso.session-verify-success") return True

src/sentry/utils/auth.py

sentry

Python

2bad4600970d40bc799143571ab708a19e9774d1

auth.py

has_completed_sso

https://github.com/getsentry/sentry.git

chore(auth): remove deprecated SSO key check (#30889) * remove deprecated sso values * clean up checking logic * update metric name

def process_arguments(self): args = [arg for arg in sys.argv] # pylint:disable=unnecessary-comprehension if self.updater: from lib.utils import get_backend # pylint:disable=import-outside-toplevel args.append(f"--{get_backend()}") for arg in args: if arg == "--installer": self.is_installer = True if arg == "--nvidia": self.enable_cuda = True if arg == "--amd": self.enable_amd = True

setup.py

faceswap

Python

c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf

setup.py

process_arguments

https://github.com/deepfakes/faceswap.git

Update code to support Tensorflow versions up to 2.8 (#1213) * Update maximum tf version in setup + requirements * - bump max version of tf version in launcher - standardise tf version check * update keras get_custom_objects for tf>2.6 * bugfix: force black text in GUI file dialogs (linux) * dssim loss - Move to stock tf.ssim function * Update optimizer imports for compatibility * fix logging for tf2.8 * Fix GUI graphing for TF2.8 * update tests * bump requirements.txt versions * Remove limit on nvidia-ml-py * Graphing bugfixes - Prevent live graph from displaying if data not yet available * bugfix: Live graph. Collect loss labels correctly * fix: live graph - swallow inconsistent loss errors * Bugfix: Prevent live graph from clearing during training * Fix graphing for AMD

def _load_icons(): size = get_config().user_config_dict.get("icon_size", 16) size = int(round(size * get_config().scaling_factor)) icons = {} pathicons = os.path.join(PATHCACHE, "icons") for fname in os.listdir(pathicons): name, ext = os.path.splitext(fname) if ext != ".png": continue img = Image.open(os.path.join(pathicons, fname)) img = ImageTk.PhotoImage(img.resize((size, size), resample=Image.HAMMING)) icons[name] = img logger.debug(icons) return icons

lib/gui/utils.py

faceswap

Python

c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf

utils.py

_load_icons

https://github.com/deepfakes/faceswap.git

Update code to support Tensorflow versions up to 2.8 (#1213) * Update maximum tf version in setup + requirements * - bump max version of tf version in launcher - standardise tf version check * update keras get_custom_objects for tf>2.6 * bugfix: force black text in GUI file dialogs (linux) * dssim loss - Move to stock tf.ssim function * Update optimizer imports for compatibility * fix logging for tf2.8 * Fix GUI graphing for TF2.8 * update tests * bump requirements.txt versions * Remove limit on nvidia-ml-py * Graphing bugfixes - Prevent live graph from displaying if data not yet available * bugfix: Live graph. Collect loss labels correctly * fix: live graph - swallow inconsistent loss errors * Bugfix: Prevent live graph from clearing during training * Fix graphing for AMD

def run_coroutine_threadsafe(coro, loop): if not coroutines.iscoroutine(coro): raise TypeError('A coroutine object is required') future = concurrent.futures.Future()

python3.10.4/Lib/asyncio/tasks.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

tasks.py

run_coroutine_threadsafe

https://github.com/XX-net/XX-Net.git

add python 3.10.4 for windows

def find_airflow_sources_root_to_operate_on() -> Path: installation_airflow_sources = get_installation_airflow_sources() if installation_airflow_sources is None and not skip_upgrade_check(): console.print( "\n[red]Breeze should only be installed with -e flag[/]\n\n" "[bright_yellow]Please go to Airflow sources and run[/]\n\n" f" {NAME} self-upgrade --force\n" ) sys.exit(1) airflow_sources = get_used_airflow_sources() if not skip_upgrade_check(): # only print warning and sleep if not producing complete results print_warning_if_different_sources(airflow_sources) print_warning_if_setup_changed() console.print(f"[bright_blue]Airflow sources: {airflow_sources}[/]") os.chdir(str(airflow_sources)) return airflow_sources AIRFLOW_SOURCES_ROOT = find_airflow_sources_root_to_operate_on() BUILD_CACHE_DIR = AIRFLOW_SOURCES_ROOT / '.build' FILES_DIR = AIRFLOW_SOURCES_ROOT / 'files' MSSQL_DATA_VOLUME = AIRFLOW_SOURCES_ROOT / 'tmp_mssql_volume' MYPY_CACHE_DIR = AIRFLOW_SOURCES_ROOT / '.mypy_cache' LOGS_DIR = AIRFLOW_SOURCES_ROOT / 'logs' DIST_DIR = AIRFLOW_SOURCES_ROOT / 'dist' SCRIPTS_CI_DIR = AIRFLOW_SOURCES_ROOT / 'scripts' / 'ci' DOCKER_CONTEXT_DIR = AIRFLOW_SOURCES_ROOT / 'docker-context-files' CACHE_TMP_FILE_DIR = tempfile.TemporaryDirectory() OUTPUT_LOG = Path(CACHE_TMP_FILE_DIR.name, 'out.log') BREEZE_SOURCES_ROOT = AIRFLOW_SOURCES_ROOT / "dev" / "breeze"

dev/breeze/src/airflow_breeze/utils/path_utils.py

airflow

Python

bca849b4586c7446438f959b62903da4b997b9ea

path_utils.py

find_airflow_sources_root_to_operate_on

https://github.com/apache/airflow.git

Switch to `pipx` as the only installation Breeze2 method (#22740) Switching Breeze2 to only use `pipx` for installation of Breeze2 due to problems it might cause for autocompletion if entrypoint is not avaiable on PATH.

def process_task(self, task): # processing tasks so that no arguments are included # unless it's a fromfile or jsonfile one if 'fromfile:' in task or 'jsonfile:' in task or 'internal:' in task: return None if self.ignore_task else task return task ########################################## # generation setup-related class functions ##########################################

parlai/scripts/generate_model_card.py

ParlAI

Python

81f722d29045a7a5841d0931a082ded1d1f13863

generate_model_card.py

process_task

https://github.com/facebookresearch/ParlAI.git

autoformat (#4378)

def should_save(self): if self.save_on_each_node: return self.local_process_index == 0 else: return self.process_index == 0

paddlenlp/trainer/trainer_args.py

PaddleNLP

Python

44a290e94d1becd1f09fddc3d873f9e19c9d6919

trainer_args.py

should_save

https://github.com/PaddlePaddle/PaddleNLP.git

[Trainer] Add init version of paddlenlp trainer and apply finetune for ernie-1.0 pretraining. (#1761) * add some datasets for finetune. * support fine tune for all tastks. * add trainer prototype. * init verison for paddlenlp trainer. * refine trainer. * update for some details. * support multi-cards training evaluation. * support load from ckpt. * support for export inference model. * first version of trainer. * seq cls support clue. * trainer support for token classification and question answersing tasks. * fix as reviews. Co-authored-by: Zeyu Chen <[email protected]>

def get_default_rl_module_class(self) -> Union[Type["RLModule"], str]: raise NotImplementedError

rllib/algorithms/algorithm_config.py

ray

Python

f9ec2d1ae2e14e1f1ed38d315dfd643f600dc397

algorithm_config.py

get_default_rl_module_class

https://github.com/ray-project/ray.git

[RLlib] Make RLModule initialization easy (#31069) 1. Moved the `_enable_rl_module_api` signature into `rl_module()` api of the algorithmConfig. 2. Added the ability for the user to override the entire RLModule from algorithmConfig by simply changing the class. 3. updated marl_module: we now have only one MARLModule base-class that can be used stand-alone, users can override it completely if they want. 4. Removed test_torch_marl_module (Will add it back in a framework agnostic way) 5. Updated TorchMARL and RL modules to use the new constructor format. 6. Core tests now works independent of failures of PPORLModule. 7. Core tests is now based on factory methods of RLModule. 8. created a new isolated unittest for marl_module 9. update ppo torch RL module to adhere to the new API changes. 10. get_rl_module_class is now a instance method instead of classmethod 11. made enabling the api more explicit from algo_config() Signed-off-by: Kourosh Hakhamaneshi <[email protected]>

def host(self) -> str: return self.first_pod_args.host

jina/orchestrate/deployments/__init__.py

jina

Python

13edc16d806fb5d77a6849551178ccc75937f25f

__init__.py

host

https://github.com/jina-ai/jina.git

refactor: rename pod to deployment (#4230) * refactor: rename pod to deployment * style: fix overload and cli autocomplete * fix: undo daemon mistake * refactor: leftover cleanup * fix: more test fixes * fix: more fixes * fix: more fixes * fix: more fixes * fix: more tests * fix: fix more tests * refactor: fix more tests * refactor: more tests fixes * refactor: rename pea to pod * refactor: adjust docs * refactor: complete pea renaming * refactor: more fixes * fix: pea_type in k8s yamls * fix: adjust pod args name * refactor: rename peapods parser folder * fix: da init Co-authored-by: Jina Dev Bot <[email protected]>

def select_traces(self, selector=None, row=None, col=None, secondary_y=None): if not selector and not isinstance(selector, int): selector = {} if row is not None or col is not None or secondary_y is not None: grid_ref = self._validate_get_grid_ref() filter_by_subplot = True if row is None and col is not None: # All rows for column grid_subplot_ref_tuples = [ref_row[col - 1] for ref_row in grid_ref] elif col is None and row is not None: # All columns for row grid_subplot_ref_tuples = grid_ref[row - 1] elif col is not None and row is not None: # Single grid cell grid_subplot_ref_tuples = [grid_ref[row - 1][col - 1]] else: # row and col are None, secondary_y not None grid_subplot_ref_tuples = [ refs for refs_row in grid_ref for refs in refs_row ] # Collect list of subplot refs, taking secondary_y into account grid_subplot_refs = [] for refs in grid_subplot_ref_tuples: if not refs: continue if secondary_y is not True: grid_subplot_refs.append(refs[0]) if secondary_y is not False and len(refs) > 1: grid_subplot_refs.append(refs[1]) else: filter_by_subplot = False grid_subplot_refs = None return self._perform_select_traces( filter_by_subplot, grid_subplot_refs, selector )

packages/python/plotly/plotly/basedatatypes.py

plotly.py

Python

321c77230a794d9f0595038a2674c955889ed0e3

basedatatypes.py

select_traces

https://github.com/plotly/plotly.py.git

Avoid selecting all traces on selector=0

def _max_values(self) -> np.array: if self._max_vals_cache is not None: return self._max_vals_cache return np.array(list(map(lambda x: x.max_val, self.flat_scalars))).reshape( self.shape )

packages/syft/src/syft/core/tensor/autodp/intermediate_gamma.py

PySyft

Python

f56f2b6fb96017472095a43f7d6b13bb8c21718f

intermediate_gamma.py

_max_values

https://github.com/OpenMined/PySyft.git

reduced reliance on .flat_scalars for __add__ which is very slow

def integrate(*args, meijerg=None, conds='piecewise', risch=None, heurisch=None, manual=None, **kwargs): doit_flags = { 'deep': False, 'meijerg': meijerg, 'conds': conds, 'risch': risch, 'heurisch': heurisch, 'manual': manual } integral = Integral(*args, **kwargs) if isinstance(integral, Integral): return integral.doit(**doit_flags) else: new_args = [a.doit(**doit_flags) if isinstance(a, Integral) else a for a in integral.args] return integral.func(*new_args)

sympy/integrals/integrals.py

sympy

Python

1eeb01e15f06c6692a5bfd6fd2d2a3002d864a07

integrals.py

integrate

https://github.com/sympy/sympy.git

Fix a few docstring formatting issues

def get_cluster_status_to_report(gcs_client, num_retries) -> ClusterStatusToReport: try: cluster_status = ray._private.utils.internal_kv_get_with_retry( gcs_client, ray.ray_constants.DEBUG_AUTOSCALING_STATUS, namespace=None, num_retries=num_retries, ) if not cluster_status: return ClusterStatusToReport() result = ClusterStatusToReport() to_GiB = 1 / 2 ** 30 cluster_status = json.loads(cluster_status.decode("utf-8")) if ( "load_metrics_report" not in cluster_status or "usage" not in cluster_status["load_metrics_report"] ): return ClusterStatusToReport() usage = cluster_status["load_metrics_report"]["usage"] # usage is a map from resource to (used, total) pair if "CPU" in usage: result.total_num_cpus = int(usage["CPU"][1]) if "GPU" in usage: result.total_num_gpus = int(usage["GPU"][1]) if "memory" in usage: result.total_memory_gb = usage["memory"][1] * to_GiB if "object_store_memory" in usage: result.total_object_store_memory_gb = ( usage["object_store_memory"][1] * to_GiB ) return result except Exception as e: logger.info(f"Failed to get cluster status to report {e}") return ClusterStatusToReport()

python/ray/_private/usage/usage_lib.py

ray

Python

62a5404369d71a84fdd4da9c4bfd597fce33f2f6

usage_lib.py

get_cluster_status_to_report

https://github.com/ray-project/ray.git

Collect more usage stats data (#23167)

def zoom(self): return self["zoom"]

packages/python/plotly/plotly/graph_objs/layout/_mapbox.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_mapbox.py

zoom

https://github.com/plotly/plotly.py.git

switch to black .22

def _set_locations(self) -> Dict[str, str]: default: str = self.loc["root"] temp: str = os.path.join(self.root, "ports.conf") if os.path.isfile(temp): listen = temp name = temp else: listen = default name = default return {"default": default, "listen": listen, "name": name}

certbot-apache/certbot_apache/_internal/parser.py

certbot

Python

7d9e9a49005de7961e84d2a7c608db57dbab3046

parser.py

_set_locations

https://github.com/certbot/certbot.git

Add typing to certbot.apache (#9071) * Add typing to certbot.apache Co-authored-by: Adrien Ferrand <[email protected]>

def get_valuation_rate(): item_val_rate_map = {} for d in frappe.db.sql( , as_dict=1, ): item_val_rate_map.setdefault(d.item_code, d.val_rate) return item_val_rate_map

erpnext/stock/report/item_prices/item_prices.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

item_prices.py

get_valuation_rate

https://github.com/frappe/erpnext.git

style: format code with black

def test_order_by(self) -> None:

tests/rest/admin/test_federation.py

synapse

Python

3b51c763ba5601e155e3e27a46cddf0370da83eb

test_federation.py

test_order_by

https://github.com/matrix-org/synapse.git

Fix get federation status of destination if no error occured (#11593)

def _get_locale_dirs(resources, include_core=True): contrib_dir = os.path.join(os.getcwd(), "django", "contrib") dirs = [] # Collect all locale directories for contrib_name in os.listdir(contrib_dir): path = os.path.join(contrib_dir, contrib_name, "locale") if os.path.isdir(path): dirs.append((contrib_name, path)) if contrib_name in HAVE_JS: dirs.append(("%s-js" % contrib_name, path)) if include_core: dirs.insert(0, ("core", os.path.join(os.getcwd(), "django", "conf", "locale"))) # Filter by resources, if any if resources is not None: res_names = [d[0] for d in dirs] dirs = [ld for ld in dirs if ld[0] in resources] if len(resources) > len(dirs): print( "You have specified some unknown resources. " "Available resource names are: %s" % (", ".join(res_names),) ) exit(1) return dirs

scripts/manage_translations.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

manage_translations.py

_get_locale_dirs

https://github.com/django/django.git

Refs #33476 -- Reformatted code with Black.

def parse_sources(self, cache=False): parsed = False # allow for multiple inventory parsing for source in self._sources: if source: if ',' not in source: source = unfrackpath(source, follow=False) parse = self.parse_source(source, cache=cache) if parse and not parsed: parsed = True if parsed: # do post processing self._inventory.reconcile_inventory() else: if C.INVENTORY_UNPARSED_IS_FAILED: raise AnsibleError("No inventory was parsed, please check your configuration and options.") elif C.INVENTORY_UNPARSED_WARNING: display.warning("No inventory was parsed, only implicit localhost is available") for group in self.groups.values(): group.vars = combine_vars(group.vars, get_vars_from_inventory_sources(self._loader, self._sources, [group], 'inventory')) for host in self.hosts.values(): host.vars = combine_vars(host.vars, get_vars_from_inventory_sources(self._loader, self._sources, [host], 'inventory'))

lib/ansible/inventory/manager.py

ansible

Python

5b44035983aba190791df479fa7004ce20872042

manager.py

parse_sources

https://github.com/ansible/ansible.git

Hide "[WARNING]: No inventory was parsed" message (#65499) * Add config option INVENTORY_UNPARSED_WARNING to hide the warning "No inventory was parsed, only implicit localhost is available"

def test_send_receipts_with_backoff(self): mock_send_transaction = ( self.hs.get_federation_transport_client().send_transaction ) mock_send_transaction.return_value = make_awaitable({}) sender = self.hs.get_federation_sender() receipt = ReadReceipt( "room_id", "m.read", "user_id", ["event_id"], {"ts": 1234} ) self.successResultOf(defer.ensureDeferred(sender.send_read_receipt(receipt))) self.pump() # expect a call to send_transaction mock_send_transaction.assert_called_once() json_cb = mock_send_transaction.call_args[0][1] data = json_cb() self.assertEqual( data["edus"], [ { "edu_type": EduTypes.RECEIPT, "content": { "room_id": { "m.read": { "user_id": { "event_ids": ["event_id"], "data": {"ts": 1234}, } } } }, } ], ) mock_send_transaction.reset_mock() # send the second RR receipt = ReadReceipt( "room_id", "m.read", "user_id", ["other_id"], {"ts": 1234} ) self.successResultOf(defer.ensureDeferred(sender.send_read_receipt(receipt))) self.pump() mock_send_transaction.assert_not_called() self.reactor.advance(19) mock_send_transaction.assert_not_called() self.reactor.advance(10) mock_send_transaction.assert_called_once() json_cb = mock_send_transaction.call_args[0][1] data = json_cb() self.assertEqual( data["edus"], [ { "edu_type": EduTypes.RECEIPT, "content": { "room_id": { "m.read": { "user_id": { "event_ids": ["other_id"], "data": {"ts": 1234}, } } } }, } ], )

tests/federation/test_federation_sender.py

synapse

Python

c52abc1cfdd9e5480cdb4a03d626fe61cacc6573

test_federation_sender.py

test_send_receipts_with_backoff

https://github.com/matrix-org/synapse.git

Additional constants for EDU types. (#12884) Instead of hard-coding strings in many places.

def register(self, name, color_list): if name in self._BUILTIN_COLOR_SEQUENCES: raise ValueError(f"{name!r} is a reserved name for a builtin " "color sequence") color_list = list(color_list) # force copy and coerce type to list for color in color_list: try: to_rgba(color) except ValueError: raise ValueError( f"{color!r} is not a valid color specification") self._color_sequences[name] = color_list

lib/matplotlib/colors.py

matplotlib

Python

0abe0ce2f2748d1d0383154d045da3609a4b871b

colors.py

register

https://github.com/matplotlib/matplotlib.git

Add a registry for color sequences Color sequences are simply lists of colors, that we store by name in a registry. The registry is modelled similar to the ColormapRegistry to 1) support immutable builtin color sequences and 2) to return copies so that one cannot mess with the global definition of the color sequence through an obtained instance. For now, I've made the sequences used for `ListedColormap`s available as builtin sequences, but that's open for discussion. More usage documentation should be added in the color examples and/or tutorials, but I'll wait with that till after the general approval of the structure and API. One common use case will be ``` plt.rc_params['axes.prop_cycle'] = plt.cycler(color=plt.color_sequences['Pastel1') ``` Co-authored-by: Elliott Sales de Andrade <[email protected]>

def quantize_output(self, output, config, **kwargs): # Put your code to generate `new_output` here new_output = ... return new_output

docs/source/tutorials/quantization_customize.py

nni

Python

a16212368718dccf6e3e07f0d9da950a365a3f90

quantization_customize.py

quantize_output

https://github.com/microsoft/nni.git

update customize compressor (#4639)

async def connect(self) -> None: self.client = WebOsClient(self.host, self.client_key) with suppress(*WEBOSTV_EXCEPTIONS, WebOsTvPairError): await self.client.connect()

homeassistant/components/webostv/__init__.py

core

Python

dee843bf6e5ca84a94f336a239f6a6138c4c28e6

__init__.py

connect

https://github.com/home-assistant/core.git

Add LG webOS Smart TV config flow support (#64117) * Add webOS Smart TV config flow support (#53256) * Add Webostv config flow * Fix tests mocks and apply review comments * Apply review comments * Change config flow to use ssdp UDN as unique_id * Fix device info * More review comments * Fix _async_check_configured_entry * Remove turn on script * Add webOS Smart TV device triggers (#53752) * Add webOS Smart TV config flow support (#53256) * Add Webostv config flow * Fix tests mocks and apply review comments * Apply review comments * Change config flow to use ssdp UDN as unique_id * Fix device info * More review comments * Fix _async_check_configured_entry * Remove turn on script * Add webOS Smart TV device triggers (#53752) * Fix webOS Smart TV mypy and pylint errors (#62620) * Change webOS Smart TV PyPi aiopylgtv package to bscpylgtv (#62633) * Change webOS Smart TV PyPi aiopylgtv package to bscpylgtv * Update bscpylgtv to 0.2.8 (revised websockets requirment) * Change webOS Smart TV PyPi package to aiowebostv (#63759) * Change webOS Smart TV PyPi package to aiowebostv * Apply suggestions from code review Co-authored-by: Martin Hjelmare <[email protected]> Co-authored-by: Martin Hjelmare <[email protected]> * webOS TV check UUID for user added device (#63817) * webOS TV check uuid when for user added device * Apply suggestions from code review Co-authored-by: Martin Hjelmare <[email protected]> * Add test for form abort and host update Co-authored-by: Martin Hjelmare <[email protected]> * Rework webOS Smart TV device trigger to custom trigger platform (#63950) * Rework webOS Smart TV device trigger to custom trigger platform * Review comments and add tests * Fix webOS TV import from YAML (#63996) * Fix webOS TV import from YAML * Fix requirements * Migrate YAML entities unique id to UUID * Add backoff to migration task delay * Assert result data and unique_id * Apply suggestions from code review Co-authored-by: Martin Hjelmare <[email protected]> * Add codeowner Co-authored-by: Martin Hjelmare <[email protected]>

def _inject_greasemonkey_scripts(self, scripts): if sip.isdeleted(self._widget): return # Since we are inserting scripts into a per-tab collection, # rather than just injecting scripts on page load, we need to # make sure we replace existing scripts, not just add new ones. # While, taking care not to remove any other scripts that might # have been added elsewhere, like the one for stylesheets. page_scripts = self._widget.page().scripts() self._remove_all_greasemonkey_scripts() seen_names = set() for script in scripts: while script.full_name() in seen_names: script.dedup_suffix += 1 seen_names.add(script.full_name()) new_script = QWebEngineScript() try: world = int(script.jsworld) if not 0 <= world <= qtutils.MAX_WORLD_ID: log.greasemonkey.error( f"script {script.name} has invalid value for '@qute-js-world'" f": {script.jsworld}, should be between 0 and " f"{qtutils.MAX_WORLD_ID}") continue except ValueError: try: world = _JS_WORLD_MAP[usertypes.JsWorld[script.jsworld.lower()]] except KeyError: log.greasemonkey.error( f"script {script.name} has invalid value for '@qute-js-world'" f": {script.jsworld}") continue new_script.setWorldId(world) # Corresponds to "@run-at document-end" which is the default according to # https://wiki.greasespot.net/Metadata_Block#.40run-at - however, # QtWebEngine uses QWebEngineScript.InjectionPoint.Deferred (@run-at document-idle) as # default. # # NOTE that this needs to be done before setSourceCode, so that # QtWebEngine's parsing of GreaseMonkey tags will override it if there is a # @run-at comment. new_script.setInjectionPoint(QWebEngineScript.InjectionPoint.DocumentReady) new_script.setSourceCode(script.code()) new_script.setName(script.full_name()) new_script.setRunsOnSubFrames(script.runs_on_sub_frames) if script.needs_document_end_workaround(): log.greasemonkey.debug( f"Forcing @run-at document-end for {script.name}") new_script.setInjectionPoint(QWebEngineScript.InjectionPoint.DocumentReady) log.greasemonkey.debug(f'adding script: {new_script.name()}') page_scripts.insert(new_script)

qutebrowser/browser/webengine/webenginetab.py

qutebrowser

Python

0877fb0d78635692e481c8bde224fac5ad0dd430

webenginetab.py

_inject_greasemonkey_scripts

https://github.com/qutebrowser/qutebrowser.git

Run scripts/dev/rewrite_enums.py

def get_heading(self, queryset, field): heading_override = self.export_headings.get(field) if heading_override: return force_str(heading_override) try: return force_str(queryset.model._meta.get_field(field).verbose_name.title()) except (AttributeError, FieldDoesNotExist): return force_str(field)

wagtail/admin/views/mixins.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

mixins.py

get_heading

https://github.com/wagtail/wagtail.git

Reformat with black

def to_euler(self, seq, angle_addition=True, avoid_square_root=False): extrinsic = _is_extrinsic(seq) i, j, k = seq.lower() # get index corresponding to elementary basis vectors i = 'xyz'.index(i) + 1 j = 'xyz'.index(j) + 1 k = 'xyz'.index(k) + 1 if not extrinsic: i, k = k, i # check if sequence is symmetric symmetric = i == k if symmetric: k = 6 - i - j # parity of the permutation sign = (i - j) * (j - k) * (k - i) // 2 # permutate elements elements = [self.a, self.b, self.c, self.d] a = elements[0] b = elements[i] c = elements[j] d = elements[k] * sign if not symmetric: a, b, c, d = a - c, b + d, c + a, d - b if avoid_square_root: angle_j = acos((a*a + b*b - c*c - d*d) / self.norm()**2) else: angle_j = 2 * atan2(sqrt(c * c + d * d), sqrt(a * a + b * b)) if angle_addition: angle_i = atan2(b, a) + atan2(d, c) angle_k = atan2(b, a) - atan2(d, c) else: angle_i = atan2(b*c + a*d, a*c - b*d) angle_k = atan2(b*c - a*d, a*c + b*d) # for Tait-Bryan angles if not symmetric: angle_j -= pi / 2 angle_i *= sign if extrinsic: return angle_k, angle_j, angle_i else: return angle_i, angle_j, angle_k

sympy/algebras/quaternion.py

sympy

Python

c254b28e2ba0f4cdfe9ff6523ffa6e369ab415ce

quaternion.py

to_euler

https://github.com/sympy/sympy.git

added two options to to_euler

def _update_class_log_prior(self, class_prior=None): n_classes = len(self.classes_) if class_prior is not None: if len(class_prior) != n_classes: raise ValueError("Number of priors must match number of classes.") self.class_log_prior_ = np.log(class_prior) elif self.fit_prior: with warnings.catch_warnings(): # silence the warning when count is 0 because class was not yet # observed warnings.simplefilter("ignore", RuntimeWarning) log_class_count = np.log(self.class_count_) # empirical prior, with sample_weight taken into account self.class_log_prior_ = log_class_count - np.log(self.class_count_.sum()) else: self.class_log_prior_ = np.full(n_classes, -np.log(n_classes))

sklearn/naive_bayes.py

scikit-learn

Python

b6bc5599ae063a90c27c9c1fef1940d620b5a206

naive_bayes.py

_update_class_log_prior

https://github.com/scikit-learn/scikit-learn.git

DOC Clarifies comments and docstrings in _BaseDiscreteNB (#22565) Co-authored-by: Thomas J. Fan <[email protected]>

def change_member_label(self, label, new_label): if label not in self._member_labels: raise ValueError("No such member exists for the Truss") else: members_duplicate = self._members.copy() for member in members_duplicate: if member[0] == label: self._member_labels[self.member_labels.index(member[0])] = new_label self._member_nodes[new_label] = [self._member_nodes[label][0], self._member_nodes[label][1]] self._member_nodes.pop(label) self._internal_forces[new_label] = self._internal_forces[label] self._internal_forces.pop(label) self._members[self._members.index([label, member[1], member[2]])] = [new_label, member[1], member[2]]

sympy/physics/continuum_mechanics/truss.py

sympy

Python

99ede53223eafb56b2c2b4ab7b8a6764b628c9d9

truss.py

change_member_label

https://github.com/sympy/sympy.git

remove_load method added along with other changes

def multiselect(self): return self["multiselect"]

packages/python/plotly/plotly/graph_objs/parcoords/_dimension.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_dimension.py

multiselect

https://github.com/plotly/plotly.py.git

switch to black .22

def _ask_default(self, default=''): self.prompt_output.write('Please enter the default value as valid Python.') if default: self.prompt_output.write( f"Accept the default '{default}' by pressing 'Enter' or " f"provide another value." ) self.prompt_output.write( 'The datetime and django.utils.timezone modules are available, so ' 'it is possible to provide e.g. timezone.now as a value.' ) self.prompt_output.write("Type 'exit' to exit this prompt") while True: if default: prompt = "[default: {}] >>> ".format(default) else: prompt = ">>> " self.prompt_output.write(prompt, ending='') code = input() if not code and default: code = default if not code: self.prompt_output.write("Please enter some code, or 'exit' (without quotes) to exit.") elif code == "exit": sys.exit(1) else: try: return eval(code, {}, {'datetime': datetime, 'timezone': timezone}) except (SyntaxError, NameError) as e: self.prompt_output.write('Invalid input: %s' % e)

django/db/migrations/questioner.py

django

Python

0ab58c120939093fea90822f376e1866fc714d1f

questioner.py

_ask_default

https://github.com/django/django.git

Refs #29026 -- Allowed customizing InteractiveMigrationQuestioner's prompt destination. Previously, the questioner did not obey the value of stdout provided to the command.

def item_group_query(doctype, txt, searchfield, start, page_len, filters): item_groups = [] cond = "1=1" pos_profile = filters.get("pos_profile") if pos_profile: item_groups = get_item_groups(pos_profile) if item_groups: cond = "name in (%s)" % (", ".join(["%s"] * len(item_groups))) cond = cond % tuple(item_groups) return frappe.db.sql( .format( condition=cond, start=start, page_len=page_len ), {"txt": "%%%s%%" % txt}, ) @frappe.whitelist()

erpnext/selling/page/point_of_sale/point_of_sale.py

@frappe.whitelist()

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

point_of_sale.py

item_group_query

https://github.com/frappe/erpnext.git

style: format code with black

def load_config(self, modelpath, use_gpu, gpu_id, use_mkldnn, cpu_threads): # 对运行位置进行配置 if use_gpu: try: int(os.environ.get('CUDA_VISIBLE_DEVICES')) except Exception: print( ) use_gpu = False if os.path.isdir(modelpath): if os.path.exists(os.path.join(modelpath, "__params__")): # __model__ + __params__ model = os.path.join(modelpath, "__model__") params = os.path.join(modelpath, "__params__") config = Config(model, params) elif os.path.exists(os.path.join(modelpath, "params")): # model + params model = os.path.join(modelpath, "model") params = os.path.join(modelpath, "params") config = Config(model, params) elif os.path.exists(os.path.join(modelpath, "__model__")): # __model__ + others config = Config(modelpath) else: raise Exception( "Error! Can\'t find the model in: %s. Please check your model path." % os.path.abspath(modelpath)) elif os.path.exists(modelpath + ".pdmodel"): # *.pdmodel + *.pdiparams model = modelpath + ".pdmodel" params = modelpath + ".pdiparams" config = Config(model, params) elif isinstance(modelpath, Config): config = modelpath else: raise Exception( "Error! Can\'t find the model in: %s. Please check your model path." % os.path.abspath(modelpath)) # 设置参数 if use_gpu: config.enable_use_gpu(100, gpu_id) else: config.disable_gpu() config.set_cpu_math_library_num_threads(cpu_threads) if use_mkldnn: config.enable_mkldnn() config.disable_glog_info() # 返回配置 return config # 预测器创建函数

modules/image/keypoint_detection/hand_pose_localization/model.py

PaddleHub

Python

6b42963d62833925ffed1cdb73400e7d528a5353

model.py

load_config

https://github.com/PaddlePaddle/PaddleHub.git

update hand_pose_localization (#1967) * update hand_pose_localization * add clean func

def call(cls, y_true, y_pred): diff = K.abs(y_true - y_pred) max_loss = K.max(diff, axis=(1, 2), keepdims=True) loss = K.mean(max_loss, axis=-1) return loss

lib/model/losses_tf.py

faceswap

Python

c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf

losses_tf.py

call

https://github.com/deepfakes/faceswap.git

Update code to support Tensorflow versions up to 2.8 (#1213) * Update maximum tf version in setup + requirements * - bump max version of tf version in launcher - standardise tf version check * update keras get_custom_objects for tf>2.6 * bugfix: force black text in GUI file dialogs (linux) * dssim loss - Move to stock tf.ssim function * Update optimizer imports for compatibility * fix logging for tf2.8 * Fix GUI graphing for TF2.8 * update tests * bump requirements.txt versions * Remove limit on nvidia-ml-py * Graphing bugfixes - Prevent live graph from displaying if data not yet available * bugfix: Live graph. Collect loss labels correctly * fix: live graph - swallow inconsistent loss errors * Bugfix: Prevent live graph from clearing during training * Fix graphing for AMD

def test_column_feature_type_mismatch_fill(): cat_feat = category_feature() bin_feat = binary_feature() input_features = [cat_feat] output_features = [bin_feat] config = {"input_features": input_features, "output_features": output_features} # Construct dataframe with int-like column representing a categorical feature df = pd.DataFrame( { cat_feat[NAME]: pd.Series(pd.array([None] + [1] * 24, dtype=pd.Int64Dtype())), bin_feat[NAME]: pd.Series([True] * 25), } ) # run preprocessing backend = LocalTestBackend() ludwig_model = LudwigModel(config, backend=backend) train_ds, val_ds, test_ds, _ = ludwig_model.preprocess(dataset=df) @pytest.mark.parametrize("format", ["file", "df"])

tests/integration_tests/test_preprocessing.py

@pytest.mark.parametrize("format", ["file", "df"])

ludwig

Python

1e6dbeff57fc5065b97dd018b904b9907468676f

test_preprocessing.py

test_column_feature_type_mismatch_fill

https://github.com/ludwig-ai/ludwig.git

Treat dataset columns as object dtype during first pass of handle_missing_values (#2398)

def _numel_arraylike(x, **kwargs): return _numel(x, coerce_np_ndarray=False, **kwargs)

dask/array/backends.py

dask

Python

8b95f983c232c1bd628e9cba0695d3ef229d290b

backends.py

_numel_arraylike

https://github.com/dask/dask.git

Sparse array reductions (#9342)

def _new_step(self): self.should_save = False self.should_evaluate = False self.should_log = False

paddlenlp/trainer/trainer_callback.py

PaddleNLP

Python

44a290e94d1becd1f09fddc3d873f9e19c9d6919

trainer_callback.py

_new_step

https://github.com/PaddlePaddle/PaddleNLP.git

[Trainer] Add init version of paddlenlp trainer and apply finetune for ernie-1.0 pretraining. (#1761) * add some datasets for finetune. * support fine tune for all tastks. * add trainer prototype. * init verison for paddlenlp trainer. * refine trainer. * update for some details. * support multi-cards training evaluation. * support load from ckpt. * support for export inference model. * first version of trainer. * seq cls support clue. * trainer support for token classification and question answersing tasks. * fix as reviews. Co-authored-by: Zeyu Chen <[email protected]>

def test_realm_quota(self) -> None: self.login("hamlet") d1 = StringIO("zulip!") d1.name = "dummy_1.txt" result = self.client_post("/json/user_uploads", {"file": d1}) response_dict = self.assert_json_success(result) d1_path_id = re.sub("/user_uploads/", "", response_dict["uri"]) d1_attachment = Attachment.objects.get(path_id=d1_path_id) realm = get_realm("zulip") realm.upload_quota_gb = 1 realm.save(update_fields=["upload_quota_gb"]) # The size of StringIO("zulip!") is 6 bytes. Setting the size of # d1_attachment to realm.upload_quota_bytes() - 11 should allow # us to upload only one more attachment. quota = realm.upload_quota_bytes() assert quota is not None d1_attachment.size = quota - 11 d1_attachment.save(update_fields=["size"]) d2 = StringIO("zulip!") d2.name = "dummy_2.txt" result = self.client_post("/json/user_uploads", {"file": d2}) self.assert_json_success(result) d3 = StringIO("zulip!") d3.name = "dummy_3.txt" result = self.client_post("/json/user_uploads", {"file": d3}) self.assert_json_error(result, "Upload would exceed your organization's upload quota.") realm.upload_quota_gb = None realm.save(update_fields=["upload_quota_gb"]) result = self.client_post("/json/user_uploads", {"file": d3}) self.assert_json_success(result)

zerver/tests/test_upload.py

zulip

Python

a142fbff85302c5e3acb2e204eca2e9c75dbc74b

test_upload.py

test_realm_quota

https://github.com/zulip/zulip.git

tests: Refactor away result.json() calls with helpers. Signed-off-by: Zixuan James Li <[email protected]>

def readable(self): return False

python3.10.4/Lib/_pyio.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

_pyio.py

readable

https://github.com/XX-net/XX-Net.git

add python 3.10.4 for windows

async def get_object_refs_from_last_execute(self) -> Dict[str, Any]: cache = {} for node_uuid, value in self.cache_from_last_execute.items(): if isinstance(value, asyncio.Task): cache[node_uuid] = await value else: cache[node_uuid] = value return cache

python/ray/dag/dag_node.py

ray

Python

4c970cc88247f7cfa7351297b8b5050f2372742e

dag_node.py

get_object_refs_from_last_execute

https://github.com/ray-project/ray.git

[serve] Visualize Deployment Graph with Gradio (#27897)

def editrevision(self): return self["editrevision"]

packages/python/plotly/plotly/graph_objs/_layout.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_layout.py

editrevision

https://github.com/plotly/plotly.py.git

switch to black .22

def RGS_generalized(m): d = zeros(m + 1) for i in range(m + 1): d[0, i] = 1 for i in range(1, m + 1): for j in range(m): if j <= m - i: d[i, j] = j * d[i - 1, j] + d[i - 1, j + 1] else: d[i, j] = 0 return d

sympy/combinatorics/partitions.py

sympy

Python