Datasets:

semeru

/

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

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Semeru Lab 7

def from_db(cls, db, field_names, values): instance = super().from_db(db, field_names, values) instance._orig_termination_a_type_id = instance.termination_a_type_id instance._orig_termination_a_ids = instance.termination_a_ids instance._orig_termination_b_type_id = instance.termination_b_type_id instance._orig_termination_b_ids = instance.termination_b_ids return instance

netbox/dcim/models/cables.py

netbox

Python

4bb9b6ee2639db683b70d6ddbee055497e0a3647

cables.py

from_db

https://github.com/netbox-community/netbox.git

Extend Cable model to support multiple A/B terminations

def expand_dims(v, dims): return v[(...,) + (None,) * (dims - 1)]

ldm/models/diffusion/dpm_solver/dpm_solver.py

stablediffusion

Python

ca86da3a30c4e080d4db8c25fca73de843663cb4

dpm_solver.py

expand_dims

https://github.com/Stability-AI/stablediffusion.git

release more models

def test_combined_data_loader_with_max_size_cycle_and_ddp(replace_sampler_ddp, tmpdir): trainer = Trainer(strategy="ddp", accelerator="auto", devices=2, replace_sampler_ddp=replace_sampler_ddp) dataloader = CombinedLoader( {"a": DataLoader(RandomDataset(32, 8), batch_size=1), "b": DataLoader(RandomDataset(32, 8), batch_size=1)}, ) dataloader = trainer._data_connector._prepare_dataloader(dataloader, shuffle=False) assert len(dataloader) == 4 if replace_sampler_ddp else 8 for a_length in [6, 8, 10]: dataloader = CombinedLoader( { "a": DataLoader(range(a_length), batch_size=1), "b": DataLoader(range(8), batch_size=1), }, mode="max_size_cycle", ) length = max(a_length, 8) assert len(dataloader) == length dataloader = trainer._data_connector._prepare_dataloader(dataloader, shuffle=False) assert len(dataloader) == length // 2 if replace_sampler_ddp else length if replace_sampler_ddp: last_batch = list(dataloader)[-1] if a_length == 6: assert last_batch == {"a": torch.tensor([0]), "b": torch.tensor([6])} elif a_length == 8: assert last_batch == {"a": torch.tensor([6]), "b": torch.tensor([6])} elif a_length == 10: assert last_batch == {"a": torch.tensor([8]), "b": torch.tensor([0])}

tests/trainer/test_supporters.py

lightning

Python

5b59c951e28ddc8bb884f044b1f46fb54c23a8b8

test_supporters.py

test_combined_data_loader_with_max_size_cycle_and_ddp

https://github.com/Lightning-AI/lightning.git

Deprecate `TrainerDataLoadingMixin` and move logic to `DataConnector` (#11282) Co-authored-by: Rohit Gupta <[email protected]> Co-authored-by: Aki Nitta <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]>

def set_pea_parser(parser=None): if not parser: from .base import set_base_parser parser = set_base_parser() from .peapods.base import mixin_base_ppr_parser from .peapods.runtimes.worker import mixin_worker_runtime_parser from .peapods.runtimes.container import mixin_container_runtime_parser from .peapods.runtimes.remote import mixin_remote_runtime_parser from .peapods.pea import mixin_pea_parser from .peapods.runtimes.distributed import mixin_distributed_feature_parser from .hubble.pull import mixin_hub_pull_options_parser mixin_base_ppr_parser(parser) mixin_worker_runtime_parser(parser) mixin_container_runtime_parser(parser) mixin_remote_runtime_parser(parser) mixin_distributed_feature_parser(parser) mixin_pea_parser(parser) mixin_hub_pull_options_parser(parser) mixin_head_parser(parser) return parser

jina/parsers/__init__.py

jina

Python

933415bfa1f9eb89f935037014dfed816eb9815d

__init__.py

set_pea_parser

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 _fd(f): return f.fileno() if hasattr(f, "fileno") else f if os.name == "nt": import msvcrt from ctypes import ( POINTER, Structure, Union, byref, c_int64, c_ulong, c_void_p, sizeof, windll, ) from ctypes.wintypes import BOOL, DWORD, HANDLE LOCK_SH = 0 # the default LOCK_NB = 0x1 # LOCKFILE_FAIL_IMMEDIATELY LOCK_EX = 0x2 # LOCKFILE_EXCLUSIVE_LOCK # --- Adapted from the pyserial project --- # detect size of ULONG_PTR if sizeof(c_ulong) != sizeof(c_void_p): ULONG_PTR = c_int64 else: ULONG_PTR = c_ulong PVOID = c_void_p # --- Union inside Structure by stackoverflow:3480240 ---

django/core/files/locks.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

locks.py

_fd

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

Refs #33476 -- Reformatted code with Black.

def set_scale_factor(self, scale_factor, unit_system="SI"): sympy_deprecation_warning( f, deprecated_since_version="1.5", active_deprecations_target="deprecated-quantity-methods", ) from sympy.physics.units import UnitSystem unit_system = UnitSystem.get_unit_system(unit_system) unit_system.set_quantity_scale_factor(self, scale_factor)

sympy/physics/units/quantities.py

sympy

Python

905eb426131ca9542a6b258462d9ae984e5b2563

quantities.py

set_scale_factor

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

Update the deprecation warnings in sympy.physics.units

def trace(self, offset=0, axis1=0, axis2=1, dtype=None): from dask.array.reductions import trace return trace(self, offset=offset, axis1=axis1, axis2=axis2, dtype=dtype)

dask/array/core.py

dask

Python

2820bae493a49cb1d0a6e376985c5473b8f04fa8

core.py

trace

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

Don't include docs in ``Array`` methods, just refer to module docs (#9244) Co-authored-by: James Bourbeau <[email protected]>

async def test_ensure_config_exists_creates_config(hass): assert not os.path.isfile(YAML_PATH) with patch("builtins.print") as mock_print: await config_util.async_ensure_config_exists(hass) assert os.path.isfile(YAML_PATH) assert mock_print.called

tests/test_config.py

core

Python

8b38fa58aa45d1809f6900729b4046d6c02c2230

test_config.py

test_ensure_config_exists_creates_config

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

Bump pytest to 7.0.0 (#65981)

def is_even(self): return not self.is_odd

sympy/combinatorics/permutations.py

sympy

Python

498015021131af4dbb07eb110e5badaba8250c7b

permutations.py

is_even

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

Updated import locations

def warns(warningcls, *, match='', test_stacklevel=True): # Absorbs all warnings in warnrec with warnings.catch_warnings(record=True) as warnrec: # Hide all warnings but make sure that our warning is emitted warnings.simplefilter("ignore") warnings.filterwarnings("always", match, warningcls) # Now run the test yield warnrec # Raise if expected warning not found if not any(issubclass(w.category, warningcls) for w in warnrec): msg = ('Failed: DID NOT WARN.' ' No warnings of type %s was emitted.' ' The list of emitted warnings is: %s.' ) % (warningcls, [w.message for w in warnrec]) raise Failed(msg) if test_stacklevel: for f in inspect.stack(): thisfile = f.filename file = os.path.split(thisfile)[1] if file.startswith('test_'): break elif file == 'doctest.py': # skip the stacklevel testing in the doctests of this # function return else: raise RuntimeError("Could not find the file for the given warning to test the stacklevel") for w in warnrec: if w.filename != thisfile: msg = f.replace('\n', ' ') raise Failed(msg) if warningcls == SymPyDeprecationWarning: this_file = pathlib.Path(__file__) active_deprecations_file = (this_file.parent.parent.parent / 'doc' / 'src' / 'explanation' / 'active-deprecations.md') if not active_deprecations_file.exists(): # We can only test that the active_deprecations_target works if we are # in the git repo. return targets = [] for w in warnrec: targets.append(w.message.active_deprecations_target) with open(active_deprecations_file) as f: text = f.read() for target in targets: if f'({target})=' not in text: raise Failed(f"The active deprecations target {target!r} does not appear to be a valid target in the active-deprecations.md file ({active_deprecations_file}).")

sympy/testing/pytest.py

sympy

Python

c5aa4e76c9642ebb2cf0fe105e46222b541966b2

pytest.py

warns

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

Fix the formatting of an error message

def precmd(self, line): return line

python3.10.4/Lib/cmd.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

cmd.py

precmd

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

add python 3.10.4 for windows

async def async_test_home_assistant(loop, load_registries=True): hass = ha.HomeAssistant() store = auth_store.AuthStore(hass) hass.auth = auth.AuthManager(hass, store, {}, {}) ensure_auth_manager_loaded(hass.auth) INSTANCES.append(hass) orig_async_add_job = hass.async_add_job orig_async_add_executor_job = hass.async_add_executor_job orig_async_create_task = hass.async_create_task

tests/common.py

core

Python

e1338adf1a27edbc0e3513fa67cd6690c7a8fbc0

common.py

async_test_home_assistant

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

Allow configuring country and language in core config (#81734) * Allow configuring country and language in core config * Add script for updating list of countries * Use black for formatting * Fix quoting * Move country codes to a separate file * Address review comments * Add generated/countries.py * Get default language from owner account * Remove unused variable * Add script to generate list of supported languages * Add tests * Fix stale docsring * Use format_python_namespace * Correct async_user_store * Improve typing * Fix with_store decorator * Initialize language in core store migration * Fix startup * Tweak * Apply suggestions from code review Co-authored-by: Franck Nijhof <[email protected]> * Update storage.py Co-authored-by: Franck Nijhof <[email protected]>

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

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

plotly.py

Python

ab7ddd3e8beeb1e70ce46447d26a0715fc92a5b7

_yaxis.py

shift

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

bump plotly.js to 2.17

def frame(self, fn_fid_or_fname, ignorekeys=[]): # get the frame info by name or id number if isinstance(fn_fid_or_fname, str): f = self.frame_by_name(fn_fid_or_fname, ignorekeys) else: f = self.frame_by_id(fn_fid_or_fname, ignorekeys) return f

nltk/corpus/reader/framenet.py

nltk

Python

8a4cf5d94eb94b6427c5d1d7907ba07b119932c5

framenet.py

frame

https://github.com/nltk/nltk.git

Docstring tests (#3050) * fixed pytests * fixed more pytests * fixed more pytest and changed multiline pytest issues fixes for snowball.py and causal.py * fixed pytests (mainly multiline or rounding issues) * fixed treebank pytests, removed test for return_string=True (deprecated) * fixed destructive.py pytests, removed test for return_string=True (deprecated) * fixed pytest (rounding issues) * fixed pytest (initialised missing object) * fixed pytest (formatting issues) * fixed pytest (formatting issues) * fixed pytest (formatting issues) * added pytest +SKIP for deprecated module stanford * updated AUTHORS.md * changed docstring corrections by usage of ELLIPSIS and different roundings * fixed AUTHORS.md to be consistent * Fix framenet doctest formatting with pprint * Change docstring on MultiListBox.__init__ I believe the original typo was misinterpreted and changed to something that was not originally intended. Co-authored-by: Jan Lennartz <[email protected]> Co-authored-by: Tom Aarsen <[email protected]> Co-authored-by: Tom Aarsen <[email protected]>

def _get_cookies_set(self, req, resp): raise NotImplementedError("This method must be implemented by a subclass.")

tests/csrf_tests/tests.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

_get_cookies_set

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

Refs #33476 -- Reformatted code with Black.

async def async_update(self) -> None: await self.fido_data.async_update() if (sensor_type := self.entity_description.key) == "balance": if self.fido_data.data.get(sensor_type) is not None: self._attr_native_value = round(self.fido_data.data[sensor_type], 2) else: if self.fido_data.data.get(self._number, {}).get(sensor_type) is not None: self._attr_native_value = round( self.fido_data.data[self._number][sensor_type], 2 )

homeassistant/components/fido/sensor.py

core

Python

58b9785485af4b49097707edb7fbcc00c72a3df0

sensor.py

async_update

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

Improve entity type hints [f] (#77143)

def _missing_(cls, value): if not isinstance(value, int): raise ValueError( "%r is not a valid %s" % (value, cls.__qualname__) ) # check boundaries # - value must be in range (e.g. -16 <-> +15, i.e. ~15 <-> 15) # - value must not include any skipped flags (e.g. if bit 2 is not # defined, then 0d10 is invalid) flag_mask = cls._flag_mask_ all_bits = cls._all_bits_ neg_value = None if ( not ~all_bits <= value <= all_bits or value & (all_bits ^ flag_mask) ): if cls._boundary_ is STRICT: max_bits = max(value.bit_length(), flag_mask.bit_length()) raise ValueError( "%r invalid value %r\n given %s\n allowed %s" % ( cls, value, bin(value, max_bits), bin(flag_mask, max_bits), )) elif cls._boundary_ is CONFORM: value = value & flag_mask elif cls._boundary_ is EJECT: return value elif cls._boundary_ is KEEP: if value < 0: value = ( max(all_bits+1, 2**(value.bit_length())) + value ) else: raise ValueError( '%r unknown flag boundary %r' % (cls, cls._boundary_, ) ) if value < 0: neg_value = value value = all_bits + 1 + value # get members and unknown unknown = value & ~flag_mask member_value = value & flag_mask if unknown and cls._boundary_ is not KEEP: raise ValueError( '%s(%r) --> unknown values %r [%s]' % (cls.__name__, value, unknown, bin(unknown)) ) # normal Flag? __new__ = getattr(cls, '__new_member__', None) if cls._member_type_ is object and not __new__: # construct a singleton enum pseudo-member pseudo_member = object.__new__(cls) else: pseudo_member = (__new__ or cls._member_type_.__new__)(cls, value) if not hasattr(pseudo_member, '_value_'): pseudo_member._value_ = value if member_value: pseudo_member._name_ = '|'.join([ m._name_ for m in cls._iter_member_(member_value) ]) if unknown: pseudo_member._name_ += '|%s' % cls._numeric_repr_(unknown) else: pseudo_member._name_ = None # use setdefault in case another thread already created a composite # with this value, but only if all members are known # note: zero is a special case -- add it if not unknown: pseudo_member = cls._value2member_map_.setdefault(value, pseudo_member) if neg_value is not None: cls._value2member_map_[neg_value] = pseudo_member return pseudo_member

Lib/enum.py

cpython

Python

acf7403f9baea3ae1119fc6b4a3298522188bf96

enum.py

_missing_

https://github.com/python/cpython.git

bpo-40066: [Enum] update str() and format() output (GH-30582) Undo rejected PEP-663 changes: - restore `repr()` to its 3.10 status - restore `str()` to its 3.10 status New changes: - `IntEnum` and `IntFlag` now leave `__str__` as the original `int.__str__` so that str() and format() return the same result - zero-valued flags without a name have a slightly changed repr(), e.g. `repr(Color(0)) == '<Color: 0>'` - update `dir()` for mixed-in types to return all the methods and attributes of the mixed-in type - added `_numeric_repr_` to `Flag` to control display of unnamed values - enums without doc strings have a more comprehensive doc string added - `ReprEnum` added -- inheriting from this makes it so only `__repr__` is replaced, not `__str__` nor `__format__`; `IntEnum`, `IntFlag`, and `StrEnum` all inherit from `ReprEnum`

def configuration(self): return []

homeassistant/components/alexa/capabilities.py

core

Python

53245c65238e3009dd1f3412f7f9bef10385f64e

capabilities.py

configuration

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

Update pylint to 2.13.0 (#68656)

def test_get_documents_by_id(self, ds, documents): ds.write_documents(documents) ids = [doc.id for doc in documents] result = {doc.id for doc in ds.get_documents_by_id(ids)} assert set(ids) == result

test/document_stores/test_memory.py

haystack

Python

a15af7f8c3ca504ceaa7c34e8487be2915cd6dc7

test_memory.py

test_get_documents_by_id

https://github.com/deepset-ai/haystack.git

refactor: Move `InMemoryDocumentStore` tests to their own class (#3614) * move tests to their own class * move more tests * add specific job * fix test * Update test/document_stores/test_memory.py Co-authored-by: Sara Zan <[email protected]> Co-authored-by: Sara Zan <[email protected]>

def add_checkpoint_hook(self, args): if args.cpu: original_n_cpus = args.distributed_world_size

doc/source/ray-core/_examples/lm/ray_train.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

ray_train.py

add_checkpoint_hook

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

[CI] Format Python code with Black (#21975) See #21316 and #21311 for the motivation behind these changes.

def addResourceToFile(target_filename, data, resource_kind, lang_id, res_name, logger): max_attempts = 5 for attempt in range(1, max_attempts + 1): update_handle = _openFileWindowsResources(target_filename) _updateWindowsResource(update_handle, resource_kind, res_name, lang_id, data) try: _closeFileWindowsResources(update_handle) except OSError as e: if e.errno in (110, 13): logger.warning( % (target_filename, attempt) ) else: logger.warning( % (target_filename, attempt, e.errno) ) time.sleep(1) continue else: if attempt != 1: logger.warning( "Succeeded with resource update in attempt %d." % attempt ) break else: logger.sysexit("Failed to update resources, the result is unusable.")

nuitka/utils/WindowsResources.py

Nuitka

Python

ed2208484bde4bf78da0712d54ab18c192df7e2e

WindowsResources.py

addResourceToFile

https://github.com/Nuitka/Nuitka.git

Onefile: Attempt opening the binary for adding payload up to five seconds * This duplicates code from resource handling, where we needed to do this already, but due to hotfix intention, we don't want to make it as a reusable functionality yet.

def test_connection(self) -> Tuple[bool, str]: try: conn = self.get_conn() conn.normalize('.') return True, "Connection successfully tested" except Exception as e: return False, str(e)

airflow/providers/sftp/hooks/sftp.py

airflow

Python

f3aacebe502c4ea5dc2b7d29373539296fa037eb

sftp.py

test_connection

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

Convert sftp hook to use paramiko instead of pysftp (#24512)

def test_redirect_exception(self) -> None:

tests/test_server.py

synapse

Python

f1145563f662653e451525032b043d1a58998b6d

test_server.py

test_redirect_exception

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

Extra type annotations in `test_server` (#13124)

def __format__(self, fmt): # Support string formatting if not fmt or fmt[-1] == 's': return format(str(self), fmt) # From here on down, support for 'bnXx' global _address_fmt_re if _address_fmt_re is None: import re _address_fmt_re = re.compile('(#?)(_?)([xbnX])') m = _address_fmt_re.fullmatch(fmt) if not m: return super().__format__(fmt) alternate, grouping, fmt_base = m.groups() # Set some defaults if fmt_base == 'n': if self._version == 4: fmt_base = 'b' # Binary is default for ipv4 else: fmt_base = 'x' # Hex is default for ipv6 if fmt_base == 'b': padlen = self._max_prefixlen else: padlen = self._max_prefixlen // 4 if grouping: padlen += padlen // 4 - 1 if alternate: padlen += 2 # 0b or 0x return format(int(self), f'{alternate}0{padlen}{grouping}{fmt_base}') @functools.total_ordering

python3.10.4/Lib/ipaddress.py

@functools.total_ordering

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

ipaddress.py

__format__

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

add python 3.10.4 for windows

def test_interactive_true_with_dependent_objects(self): post = Post.objects.create(title="post", content_type=self.content_type) # A related object is needed to show that a custom collector with # can_fast_delete=False is needed. ModelWithNullFKToSite.objects.create(post=post) with mock.patch("builtins.input", return_value="yes"): with captured_stdout() as stdout: call_command("remove_stale_contenttypes", verbosity=2, stdout=stdout) self.assertEqual(Post.objects.count(), 0) output = stdout.getvalue() self.assertIn("- Content type for contenttypes_tests.Fake", output) self.assertIn("- 1 contenttypes_tests.Post object(s)", output) self.assertIn("- 1 contenttypes_tests.ModelWithNullFKToSite", output) self.assertIn("Deleting stale content type", output) self.assertEqual(ContentType.objects.count(), self.before_count)

tests/contenttypes_tests/test_management.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

test_management.py

test_interactive_true_with_dependent_objects

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

Refs #33476 -- Reformatted code with Black.

def test_activity_stream_related(): serializer_related = set( ActivityStream._meta.get_field(field_name).related_model for field_name, stuff in ActivityStreamSerializer()._local_summarizable_fk_fields(None) if hasattr(ActivityStream, field_name) ) models = set(activity_stream_registrar.models) models.remove(Setting) missing_models = models - serializer_related assert not missing_models

awx/main/tests/unit/api/serializers/test_activity_stream_serializer.py

awx

Python

2d310dc4e50c6f7cd298f9fb8af69da258cd9ea6

test_activity_stream_serializer.py

test_activity_stream_related

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

Optimize object creation by getting fewer empty relationships (#12508) This optimizes the ActivityStreamSerializer by only getting many-to-many relationships that are speculatively non-empty based on information we have in other fields We run this every time we create an object as an on_commit action so it is expected this will have a major impact on response times for launching jobs

def test_invalid_scheduler_missing_state_dict():

tests/trainer/optimization/test_optimizers.py

lightning

Python

82c8875f33addb0becd7761c95e9674ccc98c7ee

test_optimizers.py

test_invalid_scheduler_missing_state_dict

https://github.com/Lightning-AI/lightning.git

Add `LightningModule.lr_scheduler_step` (#10249) Co-authored-by: Carlos Mocholi <[email protected]>

def register_for_checkpointing(self, *objects): invalid_objects = [] for obj in objects: if not hasattr(obj, "state_dict") or not hasattr(obj, "load_state_dict"): invalid_objects.append(obj) if len(invalid_objects) > 0: err = "All `objects` must include a `state_dict` and `load_state_dict` function to be stored. The following inputs are invalid:" for index, obj in enumerate(invalid_objects): err += f"\n\t- Item at index {index}, `{get_pretty_name(obj)}`" raise ValueError(err) self._custom_objects.extend(objects)

src/accelerate/accelerator.py

accelerate

Python

6ffab178accebda485295bddf8eb6bf436ff698f

accelerator.py

register_for_checkpointing

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

Implementation of saving and loading custom states (#270)

def get_subsample(train_args, mode, arch): if arch == 'transformer': return np.array([1]) elif mode == 'mt' and arch == 'rnn': # +1 means input (+1) and layers outputs (train_args.elayer) subsample = np.ones(train_args.elayers + 1, dtype=np.int) logging.warning('Subsampling is not performed for machine translation.') logging.info('subsample: ' + ' '.join([str(x) for x in subsample])) return subsample elif (mode == 'asr' and arch in ('rnn', 'rnn-t')) or \ (mode == 'mt' and arch == 'rnn') or \ (mode == 'st' and arch == 'rnn'): subsample = np.ones(train_args.elayers + 1, dtype=np.int) if train_args.etype.endswith("p") and not train_args.etype.startswith("vgg"): ss = train_args.subsample.split("_") for j in range(min(train_args.elayers + 1, len(ss))): subsample[j] = int(ss[j]) else: logging.warning( 'Subsampling is not performed for vgg*. It is performed in max pooling layers at CNN.') logging.info('subsample: ' + ' '.join([str(x) for x in subsample])) return subsample elif mode == 'asr' and arch == 'rnn_mix': subsample = np.ones(train_args.elayers_sd + train_args.elayers + 1, dtype=np.int) if train_args.etype.endswith("p") and not train_args.etype.startswith("vgg"): ss = train_args.subsample.split("_") for j in range(min(train_args.elayers_sd + train_args.elayers + 1, len(ss))): subsample[j] = int(ss[j]) else: logging.warning( 'Subsampling is not performed for vgg*. It is performed in max pooling layers at CNN.') logging.info('subsample: ' + ' '.join([str(x) for x in subsample])) return subsample elif mode == 'asr' and arch == 'rnn_mulenc': subsample_list = [] for idx in range(train_args.num_encs): subsample = np.ones(train_args.elayers[idx] + 1, dtype=np.int) if train_args.etype[idx].endswith("p") and not train_args.etype[idx].startswith("vgg"): ss = train_args.subsample[idx].split("_") for j in range(min(train_args.elayers[idx] + 1, len(ss))): subsample[j] = int(ss[j]) else: logging.warning( 'Encoder %d: Subsampling is not performed for vgg*. ' 'It is performed in max pooling layers at CNN.', idx + 1) logging.info('subsample: ' + ' '.join([str(x) for x in subsample])) subsample_list.append(subsample) return subsample_list else: raise ValueError('Invalid options: mode={}, arch={}'.format(mode, arch))

ppg2mel/utils/nets_utils.py

MockingBird

Python

b617a87ee40ab384767a27335313c2c65ee094ec

nets_utils.py

get_subsample

https://github.com/babysor/MockingBird.git

Init ppg extractor and ppg2mel (#375) * Init ppg extractor and ppg2mel * add preprocess and training * FIx known issues * Update __init__.py Allow to gen audio * Fix length issue * Fix bug of preparing fid * Fix sample issues * Add UI usage of PPG-vc

def getTreeBuilder(treeType, implementation=None, **kwargs): treeType = treeType.lower() if treeType not in treeBuilderCache: if treeType == "dom": from . import dom # Come up with a sane default (pref. from the stdlib) if implementation is None: from xml.dom import minidom implementation = minidom # NEVER cache here, caching is done in the dom submodule return dom.getDomModule(implementation, **kwargs).TreeBuilder elif treeType == "lxml": from . import etree_lxml treeBuilderCache[treeType] = etree_lxml.TreeBuilder elif treeType == "etree": from . import etree if implementation is None: implementation = default_etree # NEVER cache here, caching is done in the etree submodule return etree.getETreeModule(implementation, **kwargs).TreeBuilder else: raise ValueError( % treeType) return treeBuilderCache.get(treeType)

.venv/lib/python3.8/site-packages/pip/_vendor/html5lib/treebuilders/__init__.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

__init__.py

getTreeBuilder

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

upd; format

def getAllExportsAsDict(self, plugin_list=None): if plugin_list is None: # All enabled plugins should be exported plugin_list = self.getPluginsList() return {p: self._plugins[p].get_export() for p in plugin_list}

glances/stats.py

glances

Python

5ce964bac3a618229f593ad587cb704f783a470f

stats.py

getAllExportsAsDict

https://github.com/nicolargo/glances.git

Remove the static exportable_plugins list from glances_export.py #1556" Limiting data exported for economic storage #1443

def mixin_client_protocol_parser(parser): from jina.enums import GatewayProtocolType parser.add_argument( '--protocol', type=GatewayProtocolType.from_string, choices=list(GatewayProtocolType), default=GatewayProtocolType.GRPC, help='Communication protocol between server and client.', )

jina/parsers/client.py

jina

Python

de5942f19db46321d09d31ff62d60ac33e7e43d7

client.py

mixin_client_protocol_parser

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

feat: allow multiple port and protocols for gateway (#5378)

def test_span_maker_forward_with_empty(): nlp = English() doc1 = nlp("a b c") ent = doc1[0:1] ent.label_ = "X" doc1.ents = [ent] # no entities doc2 = nlp("x y z") # just to get a model span_maker = build_span_maker() span_maker([doc1, doc2], False)

spacy/tests/pipeline/test_entity_linker.py

spaCy

Python

d61e742960ef230b423dfa157449b291a03bd119

test_entity_linker.py

test_span_maker_forward_with_empty

https://github.com/explosion/spaCy.git

Handle Docs with no entities in EntityLinker (#11640) * Handle docs with no entities If a whole batch contains no entities it won't make it to the model, but it's possible for individual Docs to have no entities. Before this commit, those Docs would cause an error when attempting to concatenate arrays because the dimensions didn't match. It turns out the process of preparing the Ragged at the end of the span maker forward was a little different from list2ragged, which just uses the flatten function directly. Letting list2ragged do the conversion avoids the dimension issue. This did not come up before because in NEL demo projects it's typical for data with no entities to be discarded before it reaches the NEL component. This includes a simple direct test that shows the issue and checks it's resolved. It doesn't check if there are any downstream changes, so a more complete test could be added. A full run was tested by adding an example with no entities to the Emerson sample project. * Add a blank instance to default training data in tests Rather than adding a specific test, since not failing on instances with no entities is basic functionality, it makes sense to add it to the default set. * Fix without modifying architecture If the architecture is modified this would have to be a new version, but this change isn't big enough to merit that.

def evaluate_accuracy_gpu(net, data_iter, device=None): if not device: # Query the first device where the first parameter is on device = list(net.collect_params().values())[0].list_ctx()[0] # No. of correct predictions, no. of predictions metric = d2l.Accumulator(2) for X, y in data_iter: X, y = X.as_in_ctx(device), y.as_in_ctx(device) metric.add(d2l.accuracy(net(X), y), d2l.size(y)) return metric[0] / metric[1]

d2l/mxnet.py

d2l-zh

Python

b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2

mxnet.py

evaluate_accuracy_gpu

https://github.com/d2l-ai/d2l-zh.git

[PaddlePaddle] Merge master into Paddle branch (#1186) * change 15.2 title in chinese version (#1109) change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘ * 修改部分语义表述 (#1105) * Update r0.17.5 (#1120) * Bump versions in installation * 94行typo: （“bert.mall”）->（“bert.small”） (#1129) * line 313: "bert.mall" -> "bert.small" (#1130) * fix: update language as native reader (#1114) * Fix the translation of "stride" (#1115) * Update index.md (#1118) 修改部分语义表述 * Update self-attention-and-positional-encoding.md (#1133) 依照本书的翻译习惯，将pooling翻译成汇聚 * maybe a comment false (#1149) * maybe a little false * maybe a little false * A minor bug in the rcnn section (Chinese edition) (#1148) * Update bert.md (#1137) 一个笔误 # 假设batch_size=2，num_pred_positions=3 # 那么batch_idx应该是np.repeat( [0,1], 3 ) = [0,0,0,1,1,1] * Update calculus.md (#1135) * fix typo in git documentation (#1106) * fix: Update the Chinese translation in lr-scheduler.md (#1136) * Update lr-scheduler.md * Update chapter_optimization/lr-scheduler.md Co-authored-by: goldmermaid <[email protected]> Co-authored-by: goldmermaid <[email protected]> * fix translation for kaggle-house-price.md (#1107) * fix translation for kaggle-house-price.md * fix translation for kaggle-house-price.md Signed-off-by: sunhaizhou <[email protected]> * Update weight-decay.md (#1150) * Update weight-decay.md 关于“k多选d”这一部分，中文读者使用排列组合的方式可能更容易理解 关于“给定k个变量，阶数的个数为...”这句话是有歧义的，不是很像中国话，应该是说“阶数为d的项的个数为...”。 并增加了一句对“因此即使是阶数上的微小变化，比如从$2$到$3$，也会显著增加我们模型的复杂性。”的解释 解释为何会增加复杂性以及为何需要细粒度工具。 * Update chapter_multilayer-perceptrons/weight-decay.md yep Co-authored-by: goldmermaid <[email protected]> * Update chapter_multilayer-perceptrons/weight-decay.md yep Co-authored-by: goldmermaid <[email protected]> Co-authored-by: goldmermaid <[email protected]> * Fix a spelling error (#1161) * Update gru.md (#1152) The key distinction between vanilla RNNs and GRUs is that the latter support gating of the hidden state. 翻译错误 * Unify the function naming (#1113) Unify naming of the function 'init_xavier()'. * Update mlp-concise.md (#1166) * Update mlp-concise.md 语句不通顺 * Update environment.md 语序异常 * Update config.ini * fix the imprecise description (#1168) Co-authored-by: yuande <yuande> * fix typo in chapter_natural-language-processing-pretraining/glove.md (#1175) * Fix some typos. (#1163) * Update batch-norm.md (#1170) fixing typos u->x in article * Update linear-regression.md (#1090) We invoke Stuart Russell and Peter Norvig who, in their classic AI text book Artificial Intelligence: A Modern Approach :cite:Russell.Norvig.2016, pointed out that 原译文把who也直接翻译出来了。 * Update mlp.md (#1117) * Update mlp.md 修改部分语义表述 * Update chapter_multilayer-perceptrons/mlp.md Co-authored-by: goldmermaid <[email protected]> * Update chapter_multilayer-perceptrons/mlp.md Co-authored-by: Aston Zhang <[email protected]> Co-authored-by: goldmermaid <[email protected]> * Correct a translation error. (#1091) * Correct a translation error. * Update chapter_computer-vision/image-augmentation.md Co-authored-by: Aston Zhang <[email protected]> * Update aws.md (#1121) * Update aws.md * Update chapter_appendix-tools-for-deep-learning/aws.md Co-authored-by: Aston Zhang <[email protected]> * Update image-augmentation.md (#1093) * Update anchor.md (#1088) fix a minor issue in code * Update anchor.md * Update image-augmentation.md * fix typo and improve translation in chapter_linear-networks\softmax-regression.md (#1087) * Avoid `torch.meshgrid` user warning (#1174) Avoids the following user warning: ```python ~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/functional.py:568: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2228.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] ``` * bump to 2.0.0-beta1 * Update sequence.md * bump beta1 on readme * Add latex code block background to config * BLD: Bump python support version 3.9 (#1183) * BLD: Bump python support version 3.9 * Remove clear and manually downgrade protobuf 4.21.4 to 3.19.4 * BLD: Bump torch and tensorflow * Update Jenkinsfile * Update chapter_installation/index.md * Update chapter_installation/index.md Co-authored-by: Aston Zhang <[email protected]> * Update config.ini * Update INFO.md * Update INFO.md * Drop mint to show code in pdf, use Inconsolata font, apply code cell color (#1187) * resolve the conflicts * revise from publisher (#1089) * revise from publisher * d2l api * post_latex * revise from publisher * revise ch11 * Delete d2l-Copy1.bib * clear cache * rm d2lbook clear * debug anchor * keep original d2l doc Co-authored-by: Ubuntu <[email protected]> Co-authored-by: Aston Zhang <[email protected]> Co-authored-by: Aston Zhang <[email protected]> * 重复语句 (#1188) Co-authored-by: Aston Zhang <[email protected]> * Improve expression for chapter_preliminaries/pandas.md (#1184) * Update pandas.md * Improve expression * Improve expression * Update chapter_preliminaries/pandas.md Co-authored-by: Aston Zhang <[email protected]> * Improce expression for chapter_preliminaries/linear-algebra.md (#1185) * Improce expression * Improve code comments * Update chapter_preliminaries/linear-algebra.md * Update chapter_preliminaries/linear-algebra.md * Update chapter_preliminaries/linear-algebra.md * Update chapter_preliminaries/linear-algebra.md Co-authored-by: Aston Zhang <[email protected]> * Fix multibox_detection bugs * Update d2l to 0.17.5 version * restore older version * Upgrade pandas * change to python3.8 * Test warning log * relocate warning log * test logs filtering * Update gru.md * Add DeprecationWarning filter * Test warning log * Update attention mechanisms & computational performance * Update multilayer perceptron& linear & convolution networks & computer vision * Update recurrent&optimition&nlp pretraining & nlp applications * ignore warnings * Update index.md * Update linear networks * Update multilayer perceptrons&deep learning computation * Update preliminaries * Check and Add warning filter * Update kaggle-cifar10.md * Update object-detection-dataset.md * Update ssd.md fcn.md * Update hybridize.md * Update hybridize.md Signed-off-by: sunhaizhou <[email protected]> Co-authored-by: zhou201505013 <[email protected]> Co-authored-by: Xinwei Liu <[email protected]> Co-authored-by: Anirudh Dagar <[email protected]> Co-authored-by: Aston Zhang <[email protected]> Co-authored-by: hugo_han <[email protected]> Co-authored-by: gyro永不抽风 <[email protected]> Co-authored-by: CanChengZheng <[email protected]> Co-authored-by: linlin <[email protected]> Co-authored-by: iuk <[email protected]> Co-authored-by: yoos <[email protected]> Co-authored-by: Mr. Justice Lawrence John Wargrave <[email protected]> Co-authored-by: Chiyuan Fu <[email protected]> Co-authored-by: Sunhuashan <[email protected]> Co-authored-by: Haiker Sun <[email protected]> Co-authored-by: Ming Liu <[email protected]> Co-authored-by: goldmermaid <[email protected]> Co-authored-by: silenceZheng66 <[email protected]> Co-authored-by: Wenchao Yan <[email protected]> Co-authored-by: Kiki2049 <[email protected]> Co-authored-by: Krahets <[email protected]> Co-authored-by: friedmainfunction <[email protected]> Co-authored-by: Jameson <[email protected]> Co-authored-by: P. Yao <[email protected]> Co-authored-by: Yulv-git <[email protected]> Co-authored-by: Liu,Xiao <[email protected]> Co-authored-by: YIN, Gang <[email protected]> Co-authored-by: Joe-HZ <[email protected]> Co-authored-by: lybloveyou <[email protected]> Co-authored-by: VigourJiang <[email protected]> Co-authored-by: zxhd863943427 <[email protected]> Co-authored-by: LYF <[email protected]> Co-authored-by: Aston Zhang <[email protected]> Co-authored-by: xiaotinghe <[email protected]> Co-authored-by: Ubuntu <[email protected]> Co-authored-by: Holly-Max <[email protected]> Co-authored-by: HinGwenWoong <[email protected]> Co-authored-by: Shuai Zhang <[email protected]>

def test_k8s_cpu(): # Some experimentally-obtained K8S CPU usage files for use in test_k8s_cpu. PROCSTAT1 = # noqa PROCSTAT2 = # noqa CPUACCTUSAGE1 = "2268980984108" CPUACCTUSAGE2 = "2270120061999" CPUSHARES = "2048" shares_file, cpu_file, proc_stat_file = [ tempfile.NamedTemporaryFile("w+") for _ in range(3) ] shares_file.write(CPUSHARES) cpu_file.write(CPUACCTUSAGE1) proc_stat_file.write(PROCSTAT1) for file in shares_file, cpu_file, proc_stat_file: file.flush() with mock.patch( "ray._private.utils.os.environ", {"KUBERNETES_SERVICE_HOST"} ), mock.patch("ray.dashboard.k8s_utils.CPU_USAGE_PATH", cpu_file.name), mock.patch( "ray.dashboard.k8s_utils.PROC_STAT_PATH", proc_stat_file.name ), mock.patch( "ray._private.utils.get_k8s_cpus.__defaults__", (shares_file.name,) ): # Test helpers assert ray._private.utils.get_num_cpus() == 2 assert k8s_utils._cpu_usage() == 2268980984108 assert k8s_utils._system_usage() == 1551775030000000 assert k8s_utils._host_num_cpus() == 8 # No delta for first computation, return 0. assert k8s_utils.cpu_percent() == 0.0 # Write new usage info obtained after 1 sec wait. for file in cpu_file, proc_stat_file: file.truncate(0) file.seek(0) cpu_file.write(CPUACCTUSAGE2) proc_stat_file.write(PROCSTAT2) for file in cpu_file, proc_stat_file: file.flush() # Files were extracted under 1 CPU of load on a 2 CPU pod assert 50 < k8s_utils.cpu_percent() < 60

python/ray/tests/test_advanced_3.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

test_advanced_3.py

test_k8s_cpu

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

[CI] Format Python code with Black (#21975) See #21316 and #21311 for the motivation behind these changes.

def __getstate__(self) -> Dict[str, Any]: return {} @ExperimentalAPI

rllib/agents/alpha_star/league_builder.py

@ExperimentalAPI

ray

Python

0bb82f29b65dca348acf5aa516d21ef3f176a3e1

league_builder.py

__getstate__

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

[RLlib] AlphaStar polishing (fix logger.info bug). (#22281)

def from_euler(cls, angles, seq): if len(angles) != 3: raise ValueError("3 angles must be given.") extrinsic = _check_sequence(seq) i, j, k = seq.lower() q1 = cls.from_axis_angle(_elementary_axis(i), angles[0]) q2 = cls.from_axis_angle(_elementary_axis(j), angles[1]) q3 = cls.from_axis_angle(_elementary_axis(k), angles[2]) if extrinsic: return trigsimp(q3 * q2 * q1) else: return trigsimp(q1 * q2 * q3)

sympy/algebras/quaternion.py

sympy

Python

1d8576449e7ab757f13f49a1d33faed602aa88fb

quaternion.py

from_euler

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

implemented to_euler and from_euler

def lookup_pattern(name): return _registered_patterns[name]

python/ray/_private/thirdparty/pathspec/util.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

util.py

lookup_pattern

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

[CI] Format Python code with Black (#21975) See #21316 and #21311 for the motivation behind these changes.

def save_instance(self): instance = self.form.save() log(instance=instance, action="wagtail.create") return instance

wagtail/admin/views/generic/models.py

wagtail

Python

96a0eb0fa0cc0e28bcf5616987d193f6b2fcea82

models.py

save_instance

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

Move logging in generic CreateView and EditView to save_instance() method

async def poll_and_get_state(self) -> State: await time_changed(self.hass, 60) await time_changed(self.hass, DEBOUNCE_COOLDOWN) state = self.hass.states.get(self.entity_id) assert state is not None return state

tests/components/homekit_controller/common.py

core

Python

1ded3ac51ebc1915a5026af1998eb119972f6117

common.py

poll_and_get_state

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

Poll HomeKit Controller locks for state after lock operation (#82058)

async def help_test_setup_manual_entity_from_yaml(hass, config): calls = MagicMock()

tests/components/mqtt/test_common.py

core

Python

4894e2e5a43e80a2f64d8f9486c7eb215fcdaa6b

test_common.py

help_test_setup_manual_entity_from_yaml

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

Refactor common MQTT tests to use modern schema (#77583) * Common tests availability * Common tests attributes * Common tests unique id * Common tests discovery * Common tests encoding * Common tests device info * Common tests entity_id updated * Common tests entity debug info * Common test entity category * Common tests setup reload unload+corrections * Cleanup sweep * Comments from curent change * Cleanup * Remove unused legacy config

def random_kernel_graph(n, kernel_integral, kernel_root=None, seed=None): r if kernel_root is None: import scipy as sp import scipy.optimize # call as sp.optimize

networkx/generators/random_graphs.py

networkx

Python

2a05ccdb07cff88e56661dee8a9271859354027f

random_graphs.py

random_kernel_graph

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

Remove redundant py2 numeric conversions (#5661) * Remove redundant float conversion * Remove redundant int conversion * Use integer division Co-authored-by: Miroslav Šedivý <[email protected]>

def prompt_for_move(final_file, **move_params): skip_static_hosts = move_params["skipstatichosts"] if move_params["replace"] and not skip_static_hosts: move_file = True elif move_params["auto"] or skip_static_hosts: move_file = False else: prompt = "Do you want to replace your existing hosts file with the newly generated file?" move_file = query_yes_no(prompt) if move_file: move_file = move_hosts_file_into_place(final_file) return move_file # End Prompt the User

updateHostsFile.py

hosts

Python

258b10edc90d53c31225962dde6dcc80b0fc9ba9

updateHostsFile.py

prompt_for_move

https://github.com/StevenBlack/hosts.git

refactor: more containerization

def test_api_fields(self) -> None: expected_fields = set(Stream.API_FIELDS) | {"stream_id"} expected_fields -= {"id"} stream_dict_fields = set(APIStreamDict.__annotations__.keys()) computed_fields = set(["is_announcement_only", "is_default"]) self.assertEqual(stream_dict_fields - computed_fields, expected_fields) expected_fields = set(Subscription.API_FIELDS) subscription_dict_fields = set(APISubscriptionDict.__annotations__.keys()) computed_fields = set( ["in_home_view", "email_address", "stream_weekly_traffic", "subscribers"] ) # `APISubscriptionDict` is a subclass of `APIStreamDict`, therefore having all the # fields in addition to the computed fields and `Subscription.API_FIELDS` that # need to be excluded here. self.assertEqual( subscription_dict_fields - computed_fields - stream_dict_fields, expected_fields, )

zerver/tests/test_subs.py

zulip

Python

44ecd66eaec6533778bdff3fbb31ceb0acc0419a

test_subs.py

test_api_fields

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

types: Better types for API fields. Signed-off-by: Zixuan James Li <[email protected]>

def log(self) -> Logger: return self.app._logger

src/textual/message_pump.py

textual

Python

ca9492ac569510ce0a7e5387f81e763a99c7359e

message_pump.py

log

https://github.com/Textualize/textual.git

layout docs

def fhash(value): fpart = math.modf(value) if fpart[0] == 0.0: return hash(int(fpart[1])) v, e = math.frexp(value) # 2**31 v *= 2147483648.0 # Top 32 bits hipart = int(v) # Next 32 bits v = (v - float(hipart)) * 2147483648.0 x = hipart + int(v) + (e << 15) if x == -1: x = -2 # Convert to C long type return ctypes.c_long(x).value

samtranslator/third_party/py27hash/hash.py

serverless-application-model

Python

a5db070f446b7cfebdaa6ad2e3dcf78f6105a272

hash.py

fhash

https://github.com/aws/serverless-application-model.git

fix: Py27hash fix (#2182) * Add third party py27hash code * Add Py27UniStr and unit tests * Add py27hash_fix utils and tests * Add to_py27_compatible_template and tests * Apply py27hash fix to wherever it is needed * Apply py27hash fix, all tests pass except api_with_any_method_in_swagger * apply py27hash fix in openapi + run black * remove py27 testing * remove other py27 references * black fixes * fixes/typos * remove py27 from tox.ini * refactoring * third party notice * black * Fix py27hash fix to deal with null events * Fix Py27UniStr repr for unicode literals * black reformat * Update _template_has_api_resource to check data type more defensively * Apply py27Dict in _get_authorizers * Apply Py27Dict to authorizers and gateway responses which will go into swagger * Update to_py27_compatible_template to handle parameter_values; Add Py27LongInt class * Rename _convert_to_py27_dict to _convert_to_py27_type * Apply Py27UniStr to path param name * Handle HttpApi resource under to_py27_compatible_template * Fix InvalidDocumentException to not sort different exceptions * black reformat * Remove unnecessary test files Co-authored-by: Wing Fung Lau <[email protected]>

def forward(self, x, l2_norm=False): with torch.no_grad(): with torch.cuda.amp.autocast(enabled=False): x.squeeze_(1) # if you torch spec compute it otherwise use the mel spec computed by the AP if self.use_torch_spec: x = self.torch_spec(x) if self.log_input: x = (x + 1e-6).log() x = self.instancenorm(x).unsqueeze(1) x = self.conv1(x) x = self.relu(x) x = self.bn1(x) x = self.layer1(x) x = self.layer2(x) x = self.layer3(x) x = self.layer4(x) x = x.reshape(x.size()[0], -1, x.size()[-1]) w = self.attention(x) if self.encoder_type == "SAP": x = torch.sum(x * w, dim=2) elif self.encoder_type == "ASP": mu = torch.sum(x * w, dim=2) sg = torch.sqrt((torch.sum((x**2) * w, dim=2) - mu**2).clamp(min=1e-5)) x = torch.cat((mu, sg), 1) x = x.view(x.size()[0], -1) x = self.fc(x) if l2_norm: x = torch.nn.functional.normalize(x, p=2, dim=1) return x

TTS/speaker_encoder/models/resnet.py

TTS

Python

127118c6378168e3d36a1e5d19ede777fd20684f

resnet.py

forward

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

Update TTS.tts formatters (#1228) * Return Dict from tts formatters * Make style

def _faces_from_frames(self) -> None: logger.debug("Extracting faces from frames: Number images: %s", len(self.source)) if self.update_source: self._crop_source_faces() self._crop_destination_faces() logger.debug("Extracted faces from frames: %s", {k: len(v) for k, v in self._faces.__dict__.items()})

tools/preview/preview.py

faceswap

Python

1022651eb8a7741014f5d2ec7cbfe882120dfa5f

preview.py

_faces_from_frames

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

Bugfix: convert - Gif Writer - Fix non-launch error on Gif Writer - convert plugins - linting - convert/fs_media/preview/queue_manager - typing - Change convert items from dict to Dataclass

def test_deleted_message(self) -> None: user_profile = self.example_user("hamlet") message = self.get_message(Recipient.PERSONAL, type_id=1) UserMessage.objects.create( user_profile=user_profile, flags=UserMessage.flags.read, message=message, ) missed_message = { "message_id": message.id, "trigger": "private_message", } # Now, delete the message the normal way do_delete_messages(user_profile.realm, [message]) # This mock.patch() should be assertNoLogs once that feature # is added to Python. with mock.patch( "zerver.lib.push_notifications.uses_notification_bouncer" ) as mock_check, mock.patch("logging.error") as mock_logging_error, mock.patch( "zerver.lib.push_notifications.push_notifications_enabled", return_value=True ) as mock_push_notifications: handle_push_notification(user_profile.id, missed_message) mock_push_notifications.assert_called_once() # Check we didn't proceed through and didn't log anything. mock_check.assert_not_called() mock_logging_error.assert_not_called()

zerver/tests/test_push_notifications.py

zulip

Python

b0ce4f1bce8031881addecb1e86073483517f392

test_push_notifications.py

test_deleted_message

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

docs: Fix many spelling mistakes. Signed-off-by: Anders Kaseorg <[email protected]>

def get_abstract_dependencies(reqs, sources=None, parent=None): deps = [] from .requirements import Requirement for req in reqs: if isinstance(req, shims.InstallRequirement): requirement = Requirement.from_line("{0}{1}".format(req.name, req.specifier)) if req.link: requirement.req.link = req.link requirement.markers = req.markers requirement.req.markers = req.markers requirement.extras = req.extras requirement.req.extras = req.extras elif isinstance(req, Requirement): requirement = copy.deepcopy(req) else: requirement = Requirement.from_line(req) dep = AbstractDependency.from_requirement(requirement, parent=parent) deps.append(dep) return deps

pipenv/vendor/requirementslib/models/dependencies.py

pipenv

Python

cd5a9683be69c86c8f3adcd13385a9bc5db198ec

dependencies.py

get_abstract_dependencies

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

Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir.

def special_library_payload(parent_payload, special_type): title = f"{special_type} ({parent_payload.title})" special_library_id = f"{parent_payload.media_content_id}/{special_type}" return BrowseMedia( title=title, media_class=parent_payload.media_class, media_content_id=special_library_id, media_content_type=parent_payload.media_content_type, can_play=False, can_expand=True, children_media_class=parent_payload.children_media_class, )

homeassistant/components/plex/media_browser.py

core

Python

653305b998dd033365576db303b32dd5df3a6c54

media_browser.py

special_library_payload

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

Support multiple Plex servers in media browser (#68321)

def acl_update(consul_url=None, token=None, **kwargs): ret = {} data = {} if not consul_url: consul_url = _get_config() if not consul_url: log.error("No Consul URL found.") ret["message"] = "No Consul URL found." ret["res"] = False return ret if "id" in kwargs: data["ID"] = kwargs["id"] else: ret["message"] = 'Required parameter "id" is missing.' ret["res"] = False return ret if "name" in kwargs: data["Name"] = kwargs["name"] else: raise SaltInvocationError('Required argument "name" is missing.') if "type" in kwargs: data["Type"] = kwargs["type"] if "rules" in kwargs: data["Rules"] = kwargs["rules"] function = "acl/update" res = _query( consul_url=consul_url, token=token, data=data, method="PUT", function=function ) if res["res"]: ret["res"] = True ret["message"] = "ACL {} created.".format(kwargs["name"]) else: ret["res"] = False ret["message"] = "Updating ACL {} failed.".format(kwargs["name"]) return ret

salt/modules/consul.py

salt

Python

fb825aa760fa0585a2c8fdafc6e62be8aec8cecf

consul.py

acl_update

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

[merge jam] Master port 49261 - consul modules (#58101) * add consul states and acl function present/absent * add consul to states doc index * refact/fix consul states * fix doc, fix states * fix name parameter for acl_changes * fixing pylint errors * small changes after review by @rallytime * fix header count * Update consul.py * fix acl_exists description, fix when both id and name are missing * Adding some tests for consul module and consul state module. Some additional fixes in the consul module. * Fixing tests. * Fixing failing tests on Windows. * Adding changelog. * Adding some tests for consul module and consul state module. Some additional fixes in the consul module. * moving tests to pytest. * manual black changes. * One more manual black change. * fixing formatting. Adding versionadded for state module. Co-authored-by: Rémi Jouannet <[email protected]> Co-authored-by: Mike Place <[email protected]> Co-authored-by: Daniel Wozniak <[email protected]> Co-authored-by: Wayne Werner <[email protected]>

def _reset(self) -> None: self._reset_slots() self._paused = False self.latest_action = {} self.latest_message = UserUttered.empty() self.latest_bot_utterance = BotUttered.empty() self.followup_action = ACTION_LISTEN_NAME self.active_loop = None

rasa/shared/core/trackers.py

rasa

Python

e798bf049f036a5865c14d4343ed8a833864aabe

trackers.py

_reset

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

convert TrackerActiveLoop to a dataclass

def resolve_type_hint(hint) -> Any: origin, args = _get_type_hint_origin(hint) excluded_fields = get_override(hint, "exclude_fields", []) if origin is None and is_basic_type(hint, allow_none=False): return build_basic_type(hint) elif origin is None and inspect.isclass(hint) and issubclass(hint, tuple): # a convoluted way to catch NamedTuple. suggestions welcome. if get_type_hints(hint): properties = {k: resolve_type_hint(v) for k, v in get_type_hints(hint).items()} else: properties = {k: build_basic_type(OpenApiTypes.ANY) for k in hint._fields} return build_object_type(properties=properties, required=properties.keys()) elif origin is list or hint is list: return build_array_type( resolve_type_hint(args[0]) if args else build_basic_type(OpenApiTypes.ANY) ) elif origin is tuple: return build_array_type( schema=build_basic_type(args[0]), max_length=len(args), min_length=len(args), ) elif origin is dict or origin is defaultdict: schema = build_basic_type(OpenApiTypes.OBJECT) if args and args[1] is not typing.Any: schema["additionalProperties"] = resolve_type_hint(args[1]) return schema elif origin is set: return build_array_type(resolve_type_hint(args[0])) elif origin is frozenset: return build_array_type(resolve_type_hint(args[0])) elif origin is Literal: # Literal only works for python >= 3.8 despite typing_extensions, because it # behaves slightly different w.r.t. __origin__ schema = {"enum": list(args)} if all(type(args[0]) is type(choice) for choice in args): schema.update(build_basic_type(type(args[0]))) return schema elif inspect.isclass(hint) and issubclass(hint, Enum): schema = {"enum": [item.value for item in hint]} mixin_base_types = [t for t in hint.__mro__ if is_basic_type(t)] if mixin_base_types: schema.update(build_basic_type(mixin_base_types[0])) return schema elif isinstance(hint, _TypedDictMeta): return build_object_type( properties={ k: resolve_type_hint(v) for k, v in get_type_hints(hint).items() if k not in excluded_fields }, description=inspect.cleandoc(hint.__doc__ or ""), required=[h for h in hint.__required_keys__ if h not in excluded_fields], ) elif origin is Union: type_args = [arg for arg in args if arg is not type(None)] # noqa: E721 if len(type_args) > 1: schema = {"oneOf": [resolve_type_hint(arg) for arg in type_args]} else: schema = resolve_type_hint(type_args[0]) if type(None) in args: schema["nullable"] = True return schema elif origin is collections.abc.Iterable: return build_array_type(resolve_type_hint(args[0])) elif isinstance(hint, typing._TypedDictMeta): raise UnableToProceedError("Wrong TypedDict class, please use typing_extensions.TypedDict") else: raise UnableToProceedError(hint)

src/sentry/apidocs/spectacular_ports.py

sentry

Python

286bf2ae7ecfdd6698d8fb1cd4753f107159d4d2

spectacular_ports.py

resolve_type_hint

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

ref: use dict instead of OrderedDict since sentry is >python3.6 (#39695) partially automated (especially the fixtures) also via `\(([^]+), (.*)\),$` -> `\1: \2,`

def test_mark_checked_unexpected_exception(self, mock_patch_already_checked, mock_delete_pod): k = KubernetesPodOperator( namespace="default", image="ubuntu:16.04", name="test", task_id="task", is_delete_operator_pod=False, ) self.await_pod_mock.side_effect = AirflowException("oops") context = create_context(k) with pytest.raises(AirflowException): k.execute(context=context) mock_patch_already_checked.assert_called_once() mock_delete_pod.assert_not_called()

tests/providers/cncf/kubernetes/operators/test_kubernetes_pod.py

airflow

Python

c3d883a971a8e4e65ccc774891928daaaa0f4442

test_kubernetes_pod.py

test_mark_checked_unexpected_exception

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

KubernetesPodOperator should patch "already checked" always (#22734) When not configured to delete pods, at end of task execution the current behavior is to patch the pod as "already checked", but only if pod not successful. We should also patch when successful so it isn't "reattached" to after a task clear.

def batch_test(num_threads, delay): with mock.patch( "ray.autoscaler._private.aws.node_provider.make_ec2_client" ), mock.patch.object(AWSNodeProvider, "_create_tags", mock_create_tags): provider = AWSNodeProvider( provider_config={"region": "nowhere"}, cluster_name="default" ) provider.batch_counter = 0 provider.tag_update_counter = 0 provider.tag_cache = {str(x): {} for x in range(num_threads)} threads = [] for x in range(num_threads): thread = threading.Thread( target=provider.set_node_tags, args=(str(x), {"foo": "bar"}) ) threads.append(thread) for thread in threads: thread.start() time.sleep(delay) for thread in threads: thread.join() return provider.batch_counter, provider.tag_update_counter

python/ray/tests/aws/test_aws_batch_tag_update.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

test_aws_batch_tag_update.py

batch_test

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

[CI] Format Python code with Black (#21975) See #21316 and #21311 for the motivation behind these changes.

def validate_config(self, config): # Call (base) PPO's config validation function first. # Note that this will not touch or check on the train_batch_size=-1 # setting. super().validate_config(config) # Error if run on Win. if sys.platform in ["win32", "cygwin"]: raise ValueError( "DD-PPO not supported on Win yet! " "Due to usage of torch.distributed." ) # Auto-train_batch_size: Calculate from rollout len and # envs-per-worker. if config["train_batch_size"] == -1: config["train_batch_size"] = ( config["rollout_fragment_length"] * config["num_envs_per_worker"] ) # Users should not define `train_batch_size` directly (always -1). else: raise ValueError( "Set rollout_fragment_length instead of train_batch_size " "for DDPPO." ) # Only supported for PyTorch so far. if config["framework"] != "torch": raise ValueError("Distributed data parallel is only supported for PyTorch") if config["torch_distributed_backend"] not in ("gloo", "mpi", "nccl"): raise ValueError( "Only gloo, mpi, or nccl is supported for " "the backend of PyTorch distributed." ) # `num_gpus` must be 0/None, since all optimization happens on Workers. if config["num_gpus"]: raise ValueError( "When using distributed data parallel, you should set " "num_gpus=0 since all optimization " "is happening on workers. Enable GPUs for workers by setting " "num_gpus_per_worker=1." ) # `batch_mode` must be "truncate_episodes". if config["batch_mode"] != "truncate_episodes": raise ValueError( "Distributed data parallel requires truncate_episodes " "batch mode." ) # DDPPO doesn't support KL penalties like PPO-1. # In order to support KL penalties, DDPPO would need to become # undecentralized, which defeats the purpose of the algorithm. # Users can still tune the entropy coefficient to control the # policy entropy (similar to controlling the KL penalty). if config["kl_coeff"] != 0.0 or config["kl_target"] != 0.0: raise ValueError("DDPPO doesn't support KL penalties like PPO-1")

rllib/agents/ppo/ddppo.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

ddppo.py

validate_config

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

[CI] Format Python code with Black (#21975) See #21316 and #21311 for the motivation behind these changes.

def binary_accuracy(y_true, y_pred, threshold=0.5): y_pred = tf.convert_to_tensor(y_pred) threshold = tf.cast(threshold, y_pred.dtype) y_pred = tf.cast(y_pred > threshold, y_pred.dtype) return tf.cast(tf.equal(y_true, y_pred), tf.int8) @keras_export('keras.metrics.categorical_accuracy') @tf.__internal__.dispatch.add_dispatch_support

keras/metrics/metrics.py

@keras_export('keras.metrics.categorical_accuracy') @tf.__internal__.dispatch.add_dispatch_support

keras

Python

b96f9fdc2d5d0d375809ad9c16608830b01fc59a

metrics.py

binary_accuracy

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

fix sample_weight for BinAcc

def update(self) -> None: self.data.update() if (value := self.data.value) is None: value = STATE_UNKNOWN if self._value_template is not None: value = self._value_template.render_with_possible_json_value( str(value), STATE_UNKNOWN ) self._state = value

homeassistant/components/influxdb/sensor.py

core

Python

23090cb8a268b3f268aefa8477f30af88bf46051

sensor.py

update

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

Improve entity type hints [i] (#77529)

def get_stack(self, f, t): stack = [] if t and t.tb_frame is f: t = t.tb_next while f is not None: stack.append((f, f.f_lineno)) if f is self.botframe: break f = f.f_back stack.reverse() i = max(0, len(stack) - 1) while t is not None: stack.append((t.tb_frame, t.tb_lineno)) t = t.tb_next if f is None: i = max(0, len(stack) - 1) return stack, i

python3.10.4/Lib/bdb.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

bdb.py

get_stack

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

add python 3.10.4 for windows

def _generate_graph6_bytes(G, nodes, header): n = len(G) if n >= 2**36: raise ValueError( "graph6 is only defined if number of nodes is less " "than 2 ** 36" ) if header: yield b">>graph6<<" for d in n_to_data(n): yield str.encode(chr(d + 63)) # This generates the same as `(v in G[u] for u, v in combinations(G, 2))`, # but in "column-major" order instead of "row-major" order. bits = (nodes[j] in G[nodes[i]] for j in range(1, n) for i in range(j)) chunk = list(islice(bits, 6)) while chunk: d = sum(b << 5 - i for i, b in enumerate(chunk)) yield str.encode(chr(d + 63)) chunk = list(islice(bits, 6)) yield b"\n"

networkx/readwrite/graph6.py

networkx

Python

f6755ffa00211b523c6c0bec5398bc6c3c43c8b1

graph6.py

_generate_graph6_bytes

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

Update black (#5438) * CI: sync up black dev requirements version with precommit * Run black Co-authored-by: Jarrod Millman <[email protected]>

def set_constrained_layout(self, constrained): if constrained is None: constrained = mpl.rcParams['figure.constrained_layout.use'] _constrained = bool(constrained) _parameters = constrained if isinstance(constrained, dict) else {} if _constrained: self.set_layout_engine(ConstrainedLayoutEngine(**_parameters)) self.stale = True

lib/matplotlib/figure.py

matplotlib

Python

ec4dfbc3c83866f487ff0bc9c87b0d43a1c02b22

figure.py

set_constrained_layout

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

ENH: implement and use base layout_engine for more flexible layout.

def decrypt_file(self, file, key): # precondition assert isinstance(file, str) and isinstance(key, int) try: with open(file, "r") as fin: with open("decrypt.out", "w+") as fout: # actual encrypt-process for line in fin: fout.write(self.decrypt_string(line, key)) except: return False return True # Tests # crypt = XORCipher() # key = 67 # # test enrcypt # print crypt.encrypt("hallo welt",key) # # test decrypt # print crypt.decrypt(crypt.encrypt("hallo welt",key), key) # # test encrypt_string # print crypt.encrypt_string("hallo welt",key) # # test decrypt_string # print crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key) # if (crypt.encrypt_file("test.txt",key)): # print "encrypt successful" # else: # print "encrypt unsuccessful" # if (crypt.decrypt_file("encrypt.out",key)): # print "decrypt successful" # else: # print "decrypt unsuccessful"

XORcipher/XOR_cipher.py

Python

Python

f0af0c43340763724f139fa68aa1e5a9ffe458b4

XOR_cipher.py

decrypt_file

https://github.com/geekcomputers/Python.git

refactor: clean code Signed-off-by: slowy07 <[email protected]>

def cast_if_floating_dtype_and_mismatch(targets, outputs): if tf.is_tensor(targets): # There is one target, so output[0] should be the only output. return cast_single_tensor(targets, dtype=outputs[0].dtype) new_targets = [] for target, out in zip(targets, outputs): if isinstance(target, np.ndarray): target = tf.convert_to_tensor(target) if target.dtype != out.dtype: new_targets.append(cast_single_tensor(target, dtype=out.dtype)) else: new_targets.append(target) return new_targets

keras/engine/training_utils_v1.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

training_utils_v1.py

cast_if_floating_dtype_and_mismatch

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def _get_font(self, prop): filenames = _fontManager._find_fonts_by_props(prop) font = get_font(filenames) font.set_size(self.FONT_SCALE, self.DPI) return font

lib/matplotlib/textpath.py

matplotlib

Python

140257e3ac710450c97587f95532a84a28cc526c

textpath.py

_get_font

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

ENH: add font fallback support to svg

def call_hm(self, other_args): parser = argparse.ArgumentParser( prog="hm", add_help=False, formatter_class=argparse.ArgumentDefaultsHelpFormatter, description=, ) parser.add_argument( "-l", "--limit", dest="limit", type=int, help="Display N items", default=10, ) parser.add_argument( "-c", "--category", default="", dest="category", help="Category (e.g., stablecoins). Empty for no category", ) 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_FIGURES_ALLOWED ) if ns_parser: pycoingecko_view.display_crypto_heatmap( category=ns_parser.category, limit=ns_parser.limit, export=ns_parser.export, )

openbb_terminal/cryptocurrency/overview/overview_controller.py

OpenBBTerminal

Python

5bc7bc070ed7c9051b1277d0db21299fd310d42b

overview_controller.py

call_hm

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

Tests over API Best Practices (#2344) * Started new tests * Added special function * Improved dict * Finished new test * Got bad functions to 75 * Got bad func to 73 * Bad func down to 60 * Bad func down to 50 * Bad func down to 35 * Got bad func to 30 * No more bad functions * Added tests * Added fix * Fixed some tests * Fixed some tests * Fixed some tests * Fixed some tests * Added tests to CI * Fixed CI tests * Fixed CI tests * Imrproved CI tests * Fixed reports * Fixed reports * Added stuff * Removed CI * Fixed * Fixed some typing' Co-authored-by: minhhoang1023 <[email protected]>

def create_system_audit_entry(transaction_id=None, logger=None, **kwargs): entry = AuditLogEntry(actor_label="Sentry", **kwargs) if entry.event is not None: entry.save_or_write_to_kafka() extra = { "organization_id": entry.organization_id, "object_id": entry.target_object, "entry_id": entry.id, "actor_label": entry.actor_label, } if transaction_id is not None: extra["transaction_id"] = transaction_id if logger: # Only use the api_name for the logger message when the entry # is a real AuditLogEntry record if entry.event is not None: logger.info(audit_log.get(entry.event).api_name, extra=extra) else: logger.info(entry, extra=extra) return entry

src/sentry/utils/audit.py

sentry

Python

941184cd24186324fd9f7f304b7f713041834726

audit.py

create_system_audit_entry

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

chore(hybrid-cloud): AuditLogEntry is a control silo model now (#39890) In the control silo, creating an audit log entry writes to the db directly, whilst in region silo mode creating an audit log entry will instead push to a new kafka producer that consumes into the control silo asynchronously.

def convert_to_svg(dvi_file, extension, page=1): result = dvi_file.with_suffix(".svg") if not result.exists(): commands = [ "dvisvgm", "--pdf" if extension == ".pdf" else "", "-p " + str(page), f'"{dvi_file}"', "-n", "-v 0", "-o " + f'"{result}"', ">", os.devnull, ] os.system(" ".join(commands)) # if the file does not exist now, this means conversion failed if not result.exists(): raise ValueError( f"Your installation does not support converting {dvi_file.suffix} files to SVG." f" Consider updating dvisvgm to at least version 2.4." f" If this does not solve the problem, please refer to our troubleshooting guide at:" f" https://docs.manim.community/en/stable/installation/troubleshooting.html", ) return result

manim/utils/tex_file_writing.py

manim

Python

9d1f066d637cb15baea10e6907ab85efff8fb36f

tex_file_writing.py

convert_to_svg

https://github.com/ManimCommunity/manim.git

Migrate more `os.path` to `pathlib` (#2980) * Migrate more `os.path` to `pathlib` * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix type errors with recent pathlib code * pathlib fixes * more pathlib fixes * remove unused imports introduced by pathlib migration * convert `open()` calls to pathlib * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Migrate tex_file_writing to pathlib * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * converted more old code to pathlib, and fixed a bug in module_ops * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix test failures * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix test failures * Apply suggestions from code review Co-authored-by: Benjamin Hackl <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Benjamin Hackl <[email protected]>

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

packages/python/plotly/plotly/graph_objs/_frame.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_frame.py

group

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

switch to black .22

def _match_long_opt(self, opt): try: return super()._match_long_opt(opt) except optparse.AmbiguousOptionError as e: if len(set(self._long_opt[p] for p in e.possibilities)) == 1: return e.possibilities[0] raise

yt_dlp/options.py

yt-dlp

Python

db2e129ca0c11de84d57b2298dffd5d87e852518

options.py

_match_long_opt

https://github.com/yt-dlp/yt-dlp.git

[options] Better ambiguous option resolution Eg: `--write-auto` no longer results in > ambiguous option: --write-auto (--write-auto-subs, --write-automatic-subs?)

def global_policy(): if _global_policy is None: if base_layer_utils.v2_dtype_behavior_enabled(): return Policy(backend.floatx()) else: return Policy("_infer") return _global_policy

keras/mixed_precision/policy.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

policy.py

global_policy

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def __eq__(self, other): ans = True SIZE = self.size() if SIZE == other.size(): for i in range(SIZE): if self.__components[i] != other.component(i): ans = False break else: ans = False return ans

linear-algebra-python/src/lib.py

Python

Python

f0af0c43340763724f139fa68aa1e5a9ffe458b4

lib.py

__eq__

https://github.com/geekcomputers/Python.git

refactor: clean code Signed-off-by: slowy07 <[email protected]>

def fit(self, X, y=None): # large sparse data is not supported for 32bit platforms because # _document_frequency uses np.bincount which works on arrays of # dtype NPY_INTP which is int32 for 32bit platforms. See #20923 X = self._validate_data( X, accept_sparse=("csr", "csc"), accept_large_sparse=not _IS_32BIT ) if not sp.issparse(X): X = sp.csr_matrix(X) dtype = X.dtype if X.dtype in FLOAT_DTYPES else np.float64 if self.use_idf: n_samples, n_features = X.shape df = _document_frequency(X) df = df.astype(dtype, copy=False) # perform idf smoothing if required df += int(self.smooth_idf) n_samples += int(self.smooth_idf) # log+1 instead of log makes sure terms with zero idf don't get # suppressed entirely. idf = np.log(n_samples / df) + 1 self._idf_diag = sp.diags( idf, offsets=0, shape=(n_features, n_features), format="csr", dtype=dtype, ) return self

sklearn/feature_extraction/text.py

scikit-learn

Python

f1d3417b086550be670cbfbb5b3c1760ac99203f

text.py

fit

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

MNT Drops Python 3.7 in CI, wheel building, and docs (#22617) * MNT Drops Python 3.7 * MNT Bump NumPy and SciPy * FIX Fix build * FIX Bump versions improved * DOC Fixes numpy version [pypy] * BLD [pypy] [icc-build] * Update docs * MAINT use scipy.optimize.LinearConstraint in test * MAINT scipy 1.1.0 related code clean-up * scipy>=1.3.2 in pyproject.toml's build deps * [cd build] * DOC Adds comment about pypy * MAINT remove _astype_copy_false * FIX Update check for python version in setup.py Co-authored-by: Olivier Grisel <[email protected]>

def get_penalty_details(against_loan): penalty_details = frappe.db.sql( , (against_loan, against_loan), ) if penalty_details: return penalty_details[0][0], flt(penalty_details[0][1]) else: return None, 0

erpnext/loan_management/doctype/loan_repayment/loan_repayment.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

loan_repayment.py

get_penalty_details

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

style: format code with black

def polarity_scores(self, text): # convert emojis to their textual descriptions text_no_emoji = "" prev_space = True for chr in text: if chr in self.emojis: # get the textual description description = self.emojis[chr] if not prev_space: text_no_emoji += " " text_no_emoji += description prev_space = False else: text_no_emoji += chr prev_space = chr == " " text = text_no_emoji.strip() sentitext = SentiText(text) sentiments = [] words_and_emoticons = sentitext.words_and_emoticons for i, item in enumerate(words_and_emoticons): valence = 0 # check for vader_lexicon words that may be used as modifiers or negations if item.lower() in BOOSTER_DICT: sentiments.append(valence) continue if ( i < len(words_and_emoticons) - 1 and item.lower() == "kind" and words_and_emoticons[i + 1].lower() == "of" ): sentiments.append(valence) continue sentiments = self.sentiment_valence(valence, sentitext, item, i, sentiments) sentiments = self._but_check(words_and_emoticons, sentiments) valence_dict = self.score_valence(sentiments, text) return valence_dict

build/pyinstaller/vaderSentiment/vaderSentiment.py

OpenBBTerminal

Python

ab4de1dd70fba866930150e440a03e461a6ca6a8

vaderSentiment.py

polarity_scores

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

Create a packaged app bundle with Pyinstaller (#1525) * Add dashboard widget assets * Add ipywidgets and ipyflex to project * Add currencies dashboard notebook * Update docs and docstrings * Add pyinstaller to project deps * Add pyinstaller artifacts to gitignore * Fix linter errors in terminal.py * Update cspell hook and action with a pyinstaller specific word * Add pyinstaller specfile and artifacts * Add splashscreen image * Add app icon * adding splash screen support to terminal.spec and terminal.py * Restore the conda env build files * Sync deps * Add border to the splashscreen image * Clean up terminal launcher * Add support for default feature flags in packages apps * Fix types and linting * Add splashscreen management to app bootup * Check prediction feature flag when entering crypto/pred * Update pyinstaller spec file * fix .spec file to work for splash and icon - removed the ".." * Allows to export when using installer (#1568) * fix export for packaged apps * fix filename * Git : replace commit_hash when it is set in config_terminal * Add update of the git commit hash in gtff default during build * Add packaged app name and feature flag to logs * Add platform specific icon assignment * Add macOS build assets * Add tensorflow to hidden imports * Move LOGGING_COMMIT_HASH to gtff * Adding files/folders needed to .spec and pyinstaller folder. This will make certain commands work again. * Linting * Workflow : ignore ./build/pyinstaller from codespell * Workflow : exclude ./build/pyinstaller from flake8 * Poetry + Workflow : add types-six * Pyinstaller : remove property_cached, user_agent and vaderSentiment * Revert "Pyinstaller : remove property_cached, user_agent and vaderSentiment" This reverts commit dbb3e2b81086f97819ebd21457148c7160a4d703. * Clean up local paths in specfile * Validate deps have correct Jinja version (they do) * Fix logging commit hash to be set correctly for the logger to see it Co-authored-by: Andrew <[email protected]> Co-authored-by: didierlopes.eth <[email protected]> Co-authored-by: Chavithra PARANA <[email protected]>

def list_of_ips(self): # Defer draining call queue until we get the ip address result = [None] * len(self.list_of_block_partitions) for idx, partition in enumerate(self.list_of_block_partitions): partition.drain_call_queue() result[idx] = partition._ip_cache return result

modin/core/execution/dask/implementations/pandas_on_dask/partitioning/virtual_partition.py

modin

Python

9bf8d57ca44e22fd69b0abc55793cf60c199ab4d

virtual_partition.py

list_of_ips

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

FIX-#4676: drain sub-virtual-partition call queues. (#4695) Signed-off-by: mvashishtha <[email protected]> Co-authored-by: Alexey Prutskov <[email protected]>

def set_status(self, status): self.status = status if status in JobResultStatusChoices.TERMINAL_STATE_CHOICES: self.completed = timezone.now()

netbox/extras/models/models.py

netbox

Python

0bcc59a1e99065c1c0a143983fed4d0828d744f4

models.py

set_status

https://github.com/netbox-community/netbox.git

#8366: Add started field to JobResult

def to_text(value, errors='strict'): # type: (t.AnyStr, str) -> str if isinstance(value, bytes): return value.decode(ENCODING, errors) if isinstance(value, str): return value raise Exception('value is not bytes or text: %s' % type(value))

test/lib/ansible_test/_internal/encoding.py

ansible

Python

86779cc90376ea70bafa7044b12ce5132409fd63

encoding.py

to_text

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

ansible-test - Code cleanup. This helps prepare for a future pylint upgrade.

def _is_lr_warming_up(self): return ( self.warmup_scheduler is not None and self._number_training_updates < self.warmup_updates )

parlai/nn/lr_scheduler.py

ParlAI

Python

9d77adb86f707967b88d93964d8056a8bd5c84ec

lr_scheduler.py

_is_lr_warming_up

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

Warmup updates bug for LR < 1 (#4384) * revert bug * relax restrictions * even more relaxed :/

def is_same_loop(self) -> bool: return get_or_create_event_loop() == self.router._event_loop

python/ray/serve/handle.py

ray

Python

784e66b1f2265aeb9cb9a4e2404a8ac274abce3b

handle.py

is_same_loop

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

[all_tests][python] Remove calling of get_event_loop from python version >= 3.10 (#29285) get_event_loop is deprecated in 3.10. This PR removes its invocation with python >= 3.10 by introducing a proxy function get_or_create_event_loop in utils.py. More details please see the function comments. In the long run - we should refactor the event based code by either: using asyncio.run as much as possible after deprecating python 3.6 creating and managing the event loops explicitly across threads and different contexts. This PR only serves as a mitigation for not calling the deprecated function. Signed-off-by: rickyyx <[email protected]> Co-authored-by: Chen Shen <[email protected]>

def test_computed_list_display_localization(self): self.client.force_login(self.superuser) event = Event.objects.create(date=datetime.date.today()) response = self.client.get(reverse("admin:admin_changelist_event_changelist")) self.assertContains(response, formats.localize(event.date)) self.assertNotContains(response, str(event.date))

tests/admin_changelist/tests.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

test_computed_list_display_localization

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

Refs #33476 -- Reformatted code with Black.

def apply_transparency(self): if self.mode != "P" or "transparency" not in self.info: return from . import ImagePalette palette = self.getpalette("RGBA") transparency = self.info["transparency"] if isinstance(transparency, bytes): for i, alpha in enumerate(transparency): palette[i * 4 + 3] = alpha else: palette[transparency * 4 + 3] = 0 self.palette = ImagePalette.ImagePalette("RGBA", bytes(palette)) self.palette.dirty = 1 del self.info["transparency"]

src/PIL/Image.py

Pillow

Python

11be1631433f252b816802aef1a3cd109bd308c7

Image.py

apply_transparency

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

Added apply_transparency()

def mark_expected_failures_and_skips(self): # Only load unittest if we're actually testing. from unittest import expectedFailure, skip for test_name in self.connection.features.django_test_expected_failures: test_case_name, _, test_method_name = test_name.rpartition('.') test_app = test_name.split('.')[0] # Importing a test app that isn't installed raises RuntimeError. if test_app in settings.INSTALLED_APPS: test_case = import_string(test_case_name) test_method = getattr(test_case, test_method_name) setattr(test_case, test_method_name, expectedFailure(test_method)) for reason, tests in self.connection.features.django_test_skips.items(): for test_name in tests: test_case_name, _, test_method_name = test_name.rpartition('.') test_app = test_name.split('.')[0] # Importing a test app that isn't installed raises RuntimeError. if test_app in settings.INSTALLED_APPS: test_case = import_string(test_case_name) test_method = getattr(test_case, test_method_name) setattr(test_case, test_method_name, skip(reason)(test_method))

django/db/backends/base/creation.py

django

Python

890bfa368c33d6ae19fe45cf1eed7e2e8d63160e

creation.py

mark_expected_failures_and_skips

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

Refs #20349 -- Avoided loading testing libraries when not needed.

def images_found(self) -> int: return self._images_found

scripts/fsmedia.py

faceswap

Python

1022651eb8a7741014f5d2ec7cbfe882120dfa5f

fsmedia.py

images_found

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

Bugfix: convert - Gif Writer - Fix non-launch error on Gif Writer - convert plugins - linting - convert/fs_media/preview/queue_manager - typing - Change convert items from dict to Dataclass

def constrain_encoding(self) -> None: accept_encoding = self.headers.get("accept-encoding") if accept_encoding: self.headers["accept-encoding"] = ", ".join( e for e in {"gzip", "identity", "deflate", "br", "zstd"} if e in accept_encoding )

mitmproxy/http.py

mitmproxy

Python

b3587b52b25077f68116b9852b041d33e7fc6601

http.py

constrain_encoding

https://github.com/mitmproxy/mitmproxy.git

make it black!

def __reduce__(self): if not hasattr(self, "model"): # Fields are sometimes used without attaching them to models (for # example in aggregation). In this case give back a plain field # instance. The code below will create a new empty instance of # class self.__class__, then update its dict with self.__dict__ # values - so, this is very close to normal pickle. state = self.__dict__.copy() # The _get_default cached_property can't be pickled due to lambda # usage. state.pop("_get_default", None) return _empty, (self.__class__,), state return _load_field, ( self.model._meta.app_label, self.model._meta.object_name, self.name, )

django/db/models/fields/__init__.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

__init__.py

__reduce__

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

Refs #33476 -- Reformatted code with Black.

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

packages/python/plotly/plotly/graph_objs/_bar.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_bar.py

meta

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

switch to black .22

def process(self, in_queue, out_queue): logger.debug("Starting convert process. (in_queue: %s, out_queue: %s)", in_queue, out_queue) log_once = False while True: items = in_queue.get() if items == "EOF": logger.debug("EOF Received") logger.debug("Patch queue finished") # Signal EOF to other processes in pool logger.debug("Putting EOF back to in_queue") in_queue.put(items) break if isinstance(items, dict): items = [items] for item in items: logger.trace("Patch queue got: '%s'", item["filename"]) try: image = self._patch_image(item) except Exception as err: # pylint: disable=broad-except # Log error and output original frame logger.error("Failed to convert image: '%s'. Reason: %s", item["filename"], str(err)) image = item["image"] loglevel = logger.trace if log_once else logger.warning loglevel("Convert error traceback:", exc_info=True) log_once = True # UNCOMMENT THIS CODE BLOCK TO PRINT TRACEBACK ERRORS import sys ; import traceback exc_info = sys.exc_info() ; traceback.print_exception(*exc_info) logger.trace("Out queue put: %s", item["filename"]) out_queue.put((item["filename"], image)) logger.debug("Completed convert process")

lib/convert.py

faceswap

Python

3d8e674adc88b8f4cc206ebad6fb5b600e38fe14

convert.py

process

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

convert - Fix affine borders

def traceParseAction(f):

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

"""Decorator for debugging parse actions. When the parse action is called, this decorator will print ``">> entering method-name(line:<current_source_line>, <parse_location>, <matched_tokens>)"``. When the parse action completes, the decorator will print ``"<<"`` followed by the returned value, or any exception that the parse action raised. Example::followed by the returned valueor any exception that the parse action

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

pyparsing.py

traceParseAction

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

upd; format

def _pixels_and_segments_fit_in_music_mode(self) -> bool: pixels_per_segment = self._device.pixels_per_segment segments = self._device.segments assert pixels_per_segment is not None assert segments is not None return bool( pixels_per_segment <= MUSIC_PIXELS_PER_SEGMENT_MAX and segments <= MUSIC_SEGMENTS_MAX and pixels_per_segment * segments <= MUSIC_PIXELS_MAX )

homeassistant/components/flux_led/number.py

core

Python

e222e1b6f05b630bef5aed73e307ca5072b6f286

number.py

_pixels_and_segments_fit_in_music_mode

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

Add device configuration entities to flux_led (#62786) Co-authored-by: Chris Talkington <[email protected]>

def _generate_sharding_spec(world_size): placements = [f"rank:{idx}/cuda:{idx}" for idx in range(world_size)] # Shard the first nn module's weight by dim 0. # (nn.Linear transposes the weight internally so dim 0 actually means column) colwise_spec = ChunkShardingSpec( dim=0, placements=placements, ) # Shard the second nn module's weight by dim 1. rowwise_spec = ChunkShardingSpec( dim=1, placements=placements, ) # The result from the second nn.linear layer needs aggregation by dim 0. output_spec = ChunkShardingSpec( dim=0, placements=placements, ) return colwise_spec, rowwise_spec, output_spec

distributed/sharded_tensor/tensor_parallel.py

examples

Python

9ba53df5a19131e6926027b2e73aaa77cec17272

tensor_parallel.py

_generate_sharding_spec

https://github.com/pytorch/examples.git

Gh/fduwjj/2/base (#1007) * test ghstack [ghstack-poisoned] * Update base for Update on "[PT-D] Add an example for Megatron-LM style example" [ghstack-poisoned] * Update base for Update on "[PT-D] Add an example for Megatron-LM style example" [ghstack-poisoned] * Update base for Update on "[PT-D] Add an example for Megatron-LM style example" [ghstack-poisoned] * Update base for Update on "[PT-D] Add an example for Megatron-LM style example" [ghstack-poisoned] * [PT-D] Add an example for Megatron-LM style example (#1006) * [PT-D] Add an example for Megatron-LM style example [ghstack-poisoned] * Update on "[PT-D] Add an example for Megatron-LM style example" [ghstack-poisoned]

def execute(): frappe.reload_doc("buying", "doctype", "purchase_order") frappe.reload_doc("buying", "doctype", "supplier_quotation") frappe.reload_doc("selling", "doctype", "sales_order") frappe.reload_doc("selling", "doctype", "quotation") frappe.reload_doc("stock", "doctype", "delivery_note") frappe.reload_doc("stock", "doctype", "purchase_receipt") frappe.reload_doc("accounts", "doctype", "sales_invoice") frappe.reload_doc("accounts", "doctype", "purchase_invoice") doctypes = [ "Sales Order", "Sales Invoice", "Delivery Note", "Purchase Order", "Purchase Invoice", "Purchase Receipt", "Quotation", "Supplier Quotation", ] for doctype in doctypes: total_qty = frappe.db.sql( .format( doctype ), as_dict=True, ) # Query to update total_qty might become too big, Update in batches # batch_size is chosen arbitrarily, Don't try too hard to reason about it batch_size = 100000 for i in range(0, len(total_qty), batch_size): batch_transactions = total_qty[i : i + batch_size] # UPDATE with CASE for some reason cannot use PRIMARY INDEX, # causing all rows to be examined, leading to a very slow update # UPDATE with WHERE clause uses PRIMARY INDEX, but will lead to too many queries # INSERT with ON DUPLICATE KEY UPDATE uses PRIMARY INDEX # and can perform multiple updates per query # This is probably never used anywhere else as of now, but should be values = [] for d in batch_transactions: values.append("({0}, {1})".format(frappe.db.escape(d.parent), d.qty)) conditions = ",".join(values) frappe.db.sql( .format( doctype, conditions ) )

erpnext/patches/v11_0/update_total_qty_field.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

update_total_qty_field.py

execute

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

style: format code with black

def prim_mst_edges(G, minimum, weight="weight", keys=True, data=True, ignore_nan=False): is_multigraph = G.is_multigraph() push = heappush pop = heappop nodes = set(G) c = count() sign = 1 if minimum else -1 while nodes: u = nodes.pop() frontier = [] visited = {u} if is_multigraph: for v, keydict in G.adj[u].items(): for k, d in keydict.items(): wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = f"NaN found as an edge weight. Edge {(u, v, k, d)}" raise ValueError(msg) push(frontier, (wt, next(c), u, v, k, d)) else: for v, d in G.adj[u].items(): wt = d.get(weight, 1) * sign if isnan(wt): if ignore_nan: continue msg = f"NaN found as an edge weight. Edge {(u, v, d)}" raise ValueError(msg) push(frontier, (wt, next(c), u, v, d)) while nodes and frontier: if is_multigraph: W, _, u, v, k, d = pop(frontier) else: W, _, u, v, d = pop(frontier) if v in visited or v not in nodes: continue # Multigraphs need to handle edge keys in addition to edge data. if is_multigraph and keys: if data: yield u, v, k, d else: yield u, v, k else: if data: yield u, v, d else: yield u, v # update frontier visited.add(v) nodes.discard(v) if is_multigraph: for w, keydict in G.adj[v].items(): if w in visited: continue for k2, d2 in keydict.items(): new_weight = d2.get(weight, 1) * sign push(frontier, (new_weight, next(c), v, w, k2, d2)) else: for w, d2 in G.adj[v].items(): if w in visited: continue new_weight = d2.get(weight, 1) * sign push(frontier, (new_weight, next(c), v, w, d2)) ALGORITHMS = { "boruvka": boruvka_mst_edges, "borůvka": boruvka_mst_edges, "kruskal": kruskal_mst_edges, "prim": prim_mst_edges, } @not_implemented_for("directed")

networkx/algorithms/tree/mst.py

@not_implemented_for("directed")

networkx

Python

83cc6cd2811dbc6d20cfb3de809f21153b30e14e

mst.py

prim_mst_edges

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

Optimize prim for mst (#5455) Co-authored-by: Dylan <[email protected]>

def __add__(self, other): rank = (self.rank() + other) % self.cardinality rv = self.unrank_lex(self.size, rank) rv._rank = rank return rv

sympy/combinatorics/permutations.py

sympy

Python

498015021131af4dbb07eb110e5badaba8250c7b

permutations.py

__add__

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

Updated import locations

def to_integral_exact(self, a): a = _convert_other(a, raiseit=True) return a.to_integral_exact(context=self)

python3.10.4/Lib/_pydecimal.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

_pydecimal.py

to_integral_exact

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

add python 3.10.4 for windows

def test_invalid_parameters_in_stacking(): stacker = StackingClassifier(estimators=[]) html_output = estimator_html_repr(stacker) assert html.escape(str(stacker)) in html_output

sklearn/utils/tests/test_estimator_html_repr.py

scikit-learn

Python

84c6421a9067de7d1b54b7a6d8e21ce38e1f0eca

test_estimator_html_repr.py

test_invalid_parameters_in_stacking

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

FIX Show a HTML repr for meta-estimatosr with invalid parameters (#24015) Co-authored-by: Jérémie du Boisberranger <[email protected]>

def generate_new_id() -> str: return base58.b58encode(uuid.uuid4().bytes).decode()

lib/streamlit/session_data.py

streamlit

Python

704eab3478cf69847825b23dabf15813a8ac9fa2

session_data.py

generate_new_id

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 test_event_match_body(self) -> None: # if the key is `content.body`, the pattern matches substrings. # non-wildcards should match condition = { "kind": "event_match", "key": "content.body", "pattern": "foobaz", } self._assert_matches( condition, {"body": "aaa FoobaZ zzz"}, "patterns should match and be case-insensitive", ) self._assert_not_matches( condition, {"body": "aa xFoobaZ yy"}, "pattern should only match at word boundaries", ) self._assert_not_matches( condition, {"body": "aa foobazx yy"}, "pattern should only match at word boundaries", ) # wildcards should match condition = { "kind": "event_match", "key": "content.body", "pattern": "f?o*baz", } self._assert_matches( condition, {"body": "aaa FoobarbaZ zzz"}, "* should match string and pattern should be case-insensitive", ) self._assert_matches( condition, {"body": "aa foobaz yy"}, "* should match 0 characters" ) self._assert_not_matches( condition, {"body": "aa fobbaz yy"}, "? should not match 0 characters" ) self._assert_not_matches( condition, {"body": "aa fiiobaz yy"}, "? should not match 2 characters" ) self._assert_not_matches( condition, {"body": "aa xfooxbaz yy"}, "pattern should only match at word boundaries", ) self._assert_not_matches( condition, {"body": "aa fooxbazx yy"}, "pattern should only match at word boundaries", ) # test backslashes condition = { "kind": "event_match", "key": "content.body", "pattern": r"f\oobaz", } self._assert_matches( condition, {"body": r"F\oobaz"}, "backslash should match itself", ) condition = { "kind": "event_match", "key": "content.body", "pattern": r"f\?obaz", } self._assert_matches( condition, {"body": r"F\oobaz"}, r"? after \ should match any character", )

tests/push/test_push_rule_evaluator.py

synapse

Python

9d21ecf7ceab55bc19c4457b8b07401b0b1623a7

test_push_rule_evaluator.py

test_event_match_body

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