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semeru

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

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Semeru Lab 7

def _get_class_labels_from_estimator(estimator): return estimator.classes_ if hasattr(estimator, "classes_") else None

mlflow/sklearn/utils.py

mlflow

Python

1ddb2c9b5ace0fa605195a4b14c595e274a8c384

utils.py

_get_class_labels_from_estimator

https://github.com/mlflow/mlflow.git

Use `len(classes_)` instead of `len(set(y_true))` (#5275) * Use n_classes instead of len(set(y_true)) Signed-off-by: harupy <[email protected]> * fix attribute Signed-off-by: harupy <[email protected]> * use classes_ Signed-off-by: harupy <[email protected]> * handle meta estimator Signed-off-by: harupy <[email protected]> * address comment Signed-off-by: harupy <[email protected]> * fix Signed-off-by: harupy <[email protected]>

def get_search_choices(self): if not self._search_choice_options: # Organize choices by category categories = defaultdict(dict) for app_label, models in registry['search'].items(): for name, cls in models.items(): title = cls.model._meta.verbose_name.title() categories[cls.get_category()][name] = title # Compile a nested tuple of choices for form rendering results = ( ('', 'All Objects'), *[(category, choices.items()) for category, choices in categories.items()] ) self._search_choice_options = results return self._search_choice_options

netbox/netbox/search/backends.py

netbox

Python

ffce5d968d8a77c97852999b6ef916e80c1de55f

backends.py

get_search_choices

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

8927 plugin search (#10489) * #7016 base search classes * 7016 add search indexes * 7016 add search indexes * 7016 add search indexes * 7016 add search indexes * 7016 add search indexes * 7016 add search indexes * 8927 refactor search * 8927 refactor search * 8927 refactor search * 8927 refactor search * 8927 get search choices working * 8927 cleanup - optimize * 8927 use backend search function * 8927 fix for plugin search * 8927 add docs * Move search app to a module under netbox/ * Utilize global registry to register model search classes * Build search form options from registry * Determine search categories from model app by default * Enable dynamic search registration for plugins * Update docs & improve plugin support * Clean up search backend class * Docs for #8927 Co-authored-by: jeremystretch <[email protected]>

def betas_for_alpha_bar(num_diffusion_timesteps, max_beta=0.999):

modules/image/text_to_image/stable_diffusion/diffusers/schedulers/scheduling_ddim.py

PaddleHub

Python

a6790a651a12eb391060e533868bf0ba197f6f7e

scheduling_ddim.py

betas_for_alpha_bar

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

Add stable diffusion module

def left_integral3D(facets, index, expr, vertices, hp_param, degree): value = S.Zero facet = facets[index] x0 = vertices[facet[0]] facet_len = len(facet) for i, fac in enumerate(facet): side = (vertices[fac], vertices[facet[(i + 1) % facet_len]]) value += distance_to_side(x0, side, hp_param[0]) * \ lineseg_integrate(facet, i, side, expr, degree) return value

sympy/integrals/intpoly.py

sympy

Python

7d773eb18daaef3c54f34d1ac6cbc5b83a5bb16c

intpoly.py

left_integral3D

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

Cleanup loops and ranges

def pad_list(xs, pad_value): n_batch = len(xs) max_len = max(x.size(0) for x in xs) pad = xs[0].new(n_batch, max_len, *xs[0].size()[1:]).fill_(pad_value) for i in range(n_batch): pad[i, :xs[i].size(0)] = xs[i] return pad

ppg2mel/utils/nets_utils.py

MockingBird

Python

b617a87ee40ab384767a27335313c2c65ee094ec

nets_utils.py

pad_list

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 _genName(cls, name): if not name: name = "frame_" + str(uuid.uuid4()).replace("-", "") # TODO: reword name in case of caller's mistake return name

modin/experimental/core/execution/native/implementations/omnisci_on_native/base_worker.py

modin

Python

1c0935c1bc0856d43f69c1e32498636ee24ebc85

base_worker.py

_genName

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

FEAT-#4913: Enabling pyhdk (#4900) Co-authored-by: ienkovich <[email protected]> Signed-off-by: izamyati <[email protected]>

def _canonicalize(self, parents): for field in dataclasses.fields(self): value = getattr(self, field.name) if isinstance(value, (Path, str)) and utils.is_path_like(field.type): setattr(self, field.name, utils.resolve_path(value, self._base_path)) else: _recursive_canonicalize_child(value, [self] + parents)

nni/experiment/config/base.py

nni

Python

3f6a8274a97bf003b5eadc05faa324162b7f4123

base.py

_canonicalize

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

Some string changes around experiment module (#4442)

def test_iforest_sparse(global_random_seed): rng = check_random_state(global_random_seed) X_train, X_test = train_test_split(diabetes.data[:50], random_state=rng) grid = ParameterGrid({"max_samples": [0.5, 1.0], "bootstrap": [True, False]}) for sparse_format in [csc_matrix, csr_matrix]: X_train_sparse = sparse_format(X_train) X_test_sparse = sparse_format(X_test) for params in grid: # Trained on sparse format sparse_classifier = IsolationForest( n_estimators=10, random_state=global_random_seed, **params ).fit(X_train_sparse) sparse_results = sparse_classifier.predict(X_test_sparse) # Trained on dense format dense_classifier = IsolationForest( n_estimators=10, random_state=global_random_seed, **params ).fit(X_train) dense_results = dense_classifier.predict(X_test) assert_array_equal(sparse_results, dense_results)

sklearn/ensemble/tests/test_iforest.py

scikit-learn

Python

6ca1f5e4d0d16bc9a7f28582079a15e14f012719

test_iforest.py

test_iforest_sparse

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

TST use global_random_seed in sklearn/ensemble/tests/test_iforest.py (#22901) Co-authored-by: jeremie du boisberranger <[email protected]> Co-authored-by: Guillaume Lemaitre <[email protected]> Co-authored-by: Olivier Grisel <[email protected]>

def get_approvers(doctype, txt, searchfield, start, page_len, filters): if not filters.get("employee"): frappe.throw(_("Please select Employee first.")) approvers = [] department_details = {} department_list = [] employee = frappe.get_value( "Employee", filters.get("employee"), ["employee_name", "department", "leave_approver", "expense_approver", "shift_request_approver"], as_dict=True, ) employee_department = filters.get("department") or employee.department if employee_department: department_details = frappe.db.get_value( "Department", {"name": employee_department}, ["lft", "rgt"], as_dict=True ) if department_details: department_list = frappe.db.sql( , (department_details.lft, department_details.rgt), as_list=True, ) if filters.get("doctype") == "Leave Application" and employee.leave_approver: approvers.append( frappe.db.get_value("User", employee.leave_approver, ["name", "first_name", "last_name"]) ) if filters.get("doctype") == "Expense Claim" and employee.expense_approver: approvers.append( frappe.db.get_value("User", employee.expense_approver, ["name", "first_name", "last_name"]) ) if filters.get("doctype") == "Shift Request" and employee.shift_request_approver: approvers.append( frappe.db.get_value( "User", employee.shift_request_approver, ["name", "first_name", "last_name"] ) ) if filters.get("doctype") == "Leave Application": parentfield = "leave_approvers" field_name = "Leave Approver" elif filters.get("doctype") == "Expense Claim": parentfield = "expense_approvers" field_name = "Expense Approver" elif filters.get("doctype") == "Shift Request": parentfield = "shift_request_approver" field_name = "Shift Request Approver" if department_list: for d in department_list: approvers += frappe.db.sql( , (d, "%" + txt + "%", parentfield), as_list=True, ) if len(approvers) == 0: error_msg = _("Please set {0} for the Employee: {1}").format( field_name, frappe.bold(employee.employee_name) ) if department_list: error_msg += _(" or for Department: {0}").format(frappe.bold(employee_department)) frappe.throw(error_msg, title=_(field_name + " Missing")) return set(tuple(approver) for approver in approvers)

erpnext/hr/doctype/department_approver/department_approver.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

department_approver.py

get_approvers

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

style: format code with black

def _add_name_vhost_if_necessary(self, vhost): need_to_save = False # See if the exact address appears in any other vhost # Remember 1.1.1.1:* == 1.1.1.1 -> hence any() for addr in vhost.addrs: # In Apache 2.2, when a NameVirtualHost directive is not # set, "*" and "_default_" will conflict when sharing a port addrs = {addr,} if addr.get_addr() in ("*", "_default_"): addrs.update(obj.Addr((a, addr.get_port(),)) for a in ("*", "_default_")) for test_vh in self.vhosts: if (vhost.filep != test_vh.filep and any(test_addr in addrs for test_addr in test_vh.addrs) and not self.is_name_vhost(addr)): self.add_name_vhost(addr) logger.info("Enabling NameVirtualHosts on %s", addr) need_to_save = True break if need_to_save: self.save()

certbot-apache/certbot_apache/_internal/configurator.py

certbot

Python

eeca208c8f57304590ac1af80b496e61021aaa45

configurator.py

_add_name_vhost_if_necessary

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

Various clean-ups in certbot-apache. Use f-strings. (#9132) * Various clean-ups in certbot-apache. Use f-strings. * Smaller tweaks

def line_search(self, X, y, sample_weight): # line search parameters beta, sigma = 0.5, 0.00048828125 # 1/2, 1/2**11 eps = 16 * np.finfo(self.loss_value.dtype).eps t = 1 # step size # gradient_times_newton = self.gradient @ self.coef_newton # was computed in inner_solve. armijo_term = sigma * self.gradient_times_newton _, _, raw_prediction_newton = self.linear_loss.weight_intercept_raw( self.coef_newton, X ) self.coef_old = self.coef self.loss_value_old = self.loss_value self.gradient_old = self.gradient # np.sum(np.abs(self.gradient_old)) sum_abs_grad_old = -1 is_verbose = self.verbose >= 2 if is_verbose: print(" Backtracking Line Search") print(f" eps=10 * finfo.eps={eps}") for i in range(21): # until and including t = beta**20 ~ 1e-6 self.coef = self.coef_old + t * self.coef_newton raw = self.raw_prediction + t * raw_prediction_newton self.loss_value, self.gradient = self.linear_loss.loss_gradient( coef=self.coef, X=X, y=y, sample_weight=sample_weight, l2_reg_strength=self.l2_reg_strength, n_threads=self.n_threads, raw_prediction=raw, ) # Note: If coef_newton is too large, loss_gradient may produce inf values, # potentially accompanied by a RuntimeWarning. # This case will be captured by the Armijo condition. # 1. Check Armijo / sufficient decrease condition. # The smaller (more negative) the better. loss_improvement = self.loss_value - self.loss_value_old check = loss_improvement <= t * armijo_term if is_verbose: print( f" line search iteration={i+1}, step size={t}\n" f" check loss improvement <= armijo term: {loss_improvement} " f"<= {t * armijo_term} {check}" ) if check: break # 2. Deal with relative loss differences around machine precision. tiny_loss = np.abs(self.loss_value_old * eps) check = np.abs(loss_improvement) <= tiny_loss if is_verbose: print( " check loss |improvement| <= eps * |loss_old|:" f" {np.abs(loss_improvement)} <= {tiny_loss} {check}" ) if check: if sum_abs_grad_old < 0: sum_abs_grad_old = scipy.linalg.norm(self.gradient_old, ord=1) # 2.1 Check sum of absolute gradients as alternative condition. sum_abs_grad = scipy.linalg.norm(self.gradient, ord=1) check = sum_abs_grad < sum_abs_grad_old if is_verbose: print( " check sum(|gradient|) < sum(|gradient_old|): " f"{sum_abs_grad} < {sum_abs_grad_old} {check}" ) if check: break t *= beta else: warnings.warn( f"Line search of Newton solver {self.__class__.__name__} at iteration " f"#{self.iteration} did no converge after 21 line search refinement " "iterations. It will now resort to lbfgs instead.", ConvergenceWarning, ) if self.verbose: print(" Line search did not converge and resorts to lbfgs instead.") self.use_fallback_lbfgs_solve = True return self.raw_prediction = raw

sklearn/linear_model/_glm/_newton_solver.py

scikit-learn

Python

ff9344f3d8d11d38fa3a2497199113e5bac9537c

_newton_solver.py

line_search

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

FEA add (single) Cholesky Newton solver to GLMs (#24637) * FEA add NewtonSolver, CholeskyNewtonSolver and QRCholeskyNewtonSolver * ENH better singular hessian special solve * CLN fix some typos found by reviewer * TST assert ConvergenceWarning is raised * MNT add BaseCholeskyNewtonSolver * WIP colinear design in GLMs * FIX _solve_singular * FIX false unpacking in * TST add tests for unpenalized GLMs * TST fix solutions of glm_dataset * ENH add SVDFallbackSolver * CLN remove SVDFallbackSolver * ENH use gradient step for singular hessians * ENH print iteration number in warnings * TST improve test_linalg_warning_with_newton_solver * CLN LinAlgWarning fron scipy.linalg * ENH more robust hessian * ENH increase maxls for lbfgs to make it more robust * ENH add hessian_warning for too many negative hessian values * CLN some warning messages * ENH add lbfgs_step * ENH use lbfgs_step for hessian_warning * TST make them pass * TST tweek rtol for lbfgs * TST add rigoros test for GLMs * TST improve test_warm_start * ENH improve lbfgs options for better convergence * CLN fix test_warm_start * TST fix assert singular values in datasets * CLN address most review comments * ENH enable more vebosity levels for lbfgs * DOC add whatsnew * CLN remove xfail and clean a bit * CLN docstring about minimum norm * More informative repr for the glm_dataset fixture cases * Forgot to run black * CLN remove unnecessary filterwarnings * CLN address review comments * Trigger [all random seeds] on the following tests: test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * CLN add comment for lbfgs ftol=64 * machine precision * CLN XXX code comment * Trigger [all random seeds] on the following tests: test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * CLN link issue and remove code snippet in comment * Trigger [all random seeds] on the following tests: test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * CLN add catch_warnings * Trigger [all random seeds] on the following tests: test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * Trigger [all random seeds] on the following tests: test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * [all random seeds] test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * Trigger with -Werror [all random seeds] test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * ENH increase maxls to 50 * [all random seeds] test_glm_regression test_glm_regression_hstacked_X test_glm_regression_vstacked_X test_glm_regression_unpenalized test_glm_regression_unpenalized_hstacked_X test_glm_regression_unpenalized_vstacked_X test_warm_start * Revert "Trigger with -Werror [all random seeds]" This reverts commit 99f4cf99ca41b4ad2bdad537ad60f936970e3a88. * TST add catch_warnings to filterwarnings * TST adapt tests for newton solvers * CLN cleaner gradient step with gradient_times_newton * DOC add whatsnew * ENH always use lbfgs as fallback * TST adapt rtol * TST fix test_linalg_warning_with_newton_solver * CLN address some review comments * Improve tests related to convergence warning on collinear data * overfit -> fit * Typo in comment * Apply suggestions from code review * ENH fallback_lbfgs_solve - Do not use lbfgs steps, fall back complete to lbfgs * ENH adapt rtol * Improve test_linalg_warning_with_newton_solver * Better comments * Fixed Hessian casing and improved warning messages * [all random seeds] test_linalg_warning_with_newton_solver * Ignore ConvergenceWarnings for now if convergence is good * CLN remove counting of warnings * ENH fall back to lbfgs if line search did not converge * DOC better comment on performance bottleneck * Update GLM related examples to use the new solver * CLN address reviewer comments * EXA improve some wordings * CLN do not pop "solver in parameter constraints * CLN fix typos * DOC fix docstring * CLN remove solver newton-qr-cholesky * DOC update PR number in whatsnew * CLN address review comments * CLN remove unnecessary catch_warnings * CLN address some review comments * DOC more precise whatsnew * CLN use init_zero_coef * CLN use and test init_zero_coef * CLN address some review comments * CLN mark NewtonSolver as private by leading underscore * CLN exact comments for inner_solve * TST add test_newton_solver_verbosity * TST extend test_newton_solver_verbosity * TST logic in test_glm_regression_unpenalized * TST use count_nonzero * CLN remove super rare line search checks * MNT move Newton solver to new file _newton_solver.py Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Julien Jerphanion <[email protected]>

def _yield_distributions(self): # We need to check if we've seen some resources already, because on # some Linux systems (e.g. some Debian/Ubuntu variants) there are # symlinks which alias other files in the environment. seen = set() for path in self.path: finder = resources.finder_for_path(path) if finder is None: continue r = finder.find('') if not r or not r.is_container: continue rset = sorted(r.resources) for entry in rset: r = finder.find(entry) if not r or r.path in seen: continue try: if self._include_dist and entry.endswith(DISTINFO_EXT): possible_filenames = [METADATA_FILENAME, WHEEL_METADATA_FILENAME, LEGACY_METADATA_FILENAME] for metadata_filename in possible_filenames: metadata_path = posixpath.join(entry, metadata_filename) pydist = finder.find(metadata_path) if pydist: break else: continue with contextlib.closing(pydist.as_stream()) as stream: metadata = Metadata(fileobj=stream, scheme='legacy') logger.debug('Found %s', r.path) seen.add(r.path) yield new_dist_class(r.path, metadata=metadata, env=self) elif self._include_egg and entry.endswith(('.egg-info', '.egg')): logger.debug('Found %s', r.path) seen.add(r.path) yield old_dist_class(r.path, self) except Exception as e: msg = 'Unable to read distribution at %s, perhaps due to bad metadata: %s' logger.warning(msg, r.path, e) import warnings warnings.warn(msg % (r.path, e), stacklevel=2)

pipenv/patched/pip/_vendor/distlib/database.py

pipenv

Python

cd5a9683be69c86c8f3adcd13385a9bc5db198ec

database.py

_yield_distributions

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

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

def test_mutNodeReplacement(): pipeline_string = ( 'LogisticRegression(PolynomialFeatures' '(input_matrix, PolynomialFeatures__degree=2, PolynomialFeatures__include_bias=False, ' 'PolynomialFeatures__interaction_only=False), LogisticRegression__C=10.0, ' 'LogisticRegression__dual=False, LogisticRegression__penalty=l2)' ) pipeline = creator.Individual.from_string(pipeline_string, tpot_obj._pset) pipeline[0].ret = Output_Array old_ret_type_list = [node.ret for node in pipeline] old_prims_list = [node for node in pipeline if node.arity != 0] # test 10 times for _ in range(10): mut_ind = mutNodeReplacement(tpot_obj._toolbox.clone(pipeline), pset=tpot_obj._pset) new_ret_type_list = [node.ret for node in mut_ind[0]] new_prims_list = [node for node in mut_ind[0] if node.arity != 0] if new_prims_list == old_prims_list: # Terminal mutated assert new_ret_type_list == old_ret_type_list else: # Primitive mutated diff_prims = [x for x in new_prims_list if x not in old_prims_list] diff_prims += [x for x in old_prims_list if x not in new_prims_list] if len(diff_prims) > 1: # Sometimes mutation randomly replaces an operator that already in the pipelines assert diff_prims[0].ret == diff_prims[1].ret assert mut_ind[0][0].ret == Output_Array

tests/tpot_tests.py

tpot

Python

388616b6247ca4ea8de4e2f340d6206aee523541

tpot_tests.py

test_mutNodeReplacement

https://github.com/EpistasisLab/tpot.git

Revert "Deployed 7ccda9a with MkDocs version: 1.3.0" This reverts commit bd9629c40e01241766197119b581a99409b07068.

def _async_update(self) -> None: super()._async_update() node = self.gateway.sensors[self.node_id] child = node.children[self.child_id] position: str = child.values[self.value_type] latitude, longitude, _ = position.split(",") self._latitude = float(latitude) self._longitude = float(longitude)

homeassistant/components/mysensors/device_tracker.py

core

Python

df2d0cd3e3ade2339a18415f92c85810308a9926

device_tracker.py

_async_update

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

Refactor mysensors device tracker (#84747)

def from_builtin(cls, func): warnings.warn("inspect.Signature.from_builtin() is deprecated since " "Python 3.5, use Signature.from_callable()", DeprecationWarning, stacklevel=2) return _signature_from_builtin(cls, func)

python3.10.4/Lib/inspect.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

inspect.py

from_builtin

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

add python 3.10.4 for windows

def update_step(self, grad, variable): lr = tf.cast(self.learning_rate, variable.dtype) var_key = self._var_key(variable) rho = self.rho accumulated_grad = self._accumulated_grads[self._index_dict[var_key]] accumulated_delta_var = self._accumulated_delta_vars[ self._index_dict[var_key] ]

keras/optimizers/optimizer_experimental/adadelta.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

adadelta.py

update_step

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def export(self, view_data): if view_data is not None: # pragma: NO COVER self.transport.export(view_data)

python/ray/_private/prometheus_exporter.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

prometheus_exporter.py

export

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 job_hook(**kwargs): cmd = " ".join(kwargs["entrypoint"]) print(f"hook intercepted: {cmd}") sys.exit(0)

python/ray/_private/test_utils.py

ray

Python

517f78e2b810e506d61884c79d768a37a34f0f9c

test_utils.py

job_hook

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

[minor] Add a job submission hook by env var (#25343)

def get_dataset_info(tasks): curr_task_info = [] for task in tasks: # adding the name + attempted link tname = taskname(task) tsite = task_site + to_sublink(tname) curr_task_info.append(f"- [{tname}]({tsite})") # adding link links = make_task_links(task) curr_task_info[-1] += f" ({links})" if links else '' # adding description if all_tasks.get(task) and all_tasks[task].get('description'): curr_task_info[-1] += f": {all_tasks[task]['description']}" return curr_task_info ################################# # Table-Related Functions #################################

parlai/scripts/generate_model_card.py

ParlAI

Python

81f722d29045a7a5841d0931a082ded1d1f13863

generate_model_card.py

get_dataset_info

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

autoformat (#4378)

def widget_to_element(self, widget): if self.AllKeysDict is None or len(self.AllKeysDict) == 0: return None for key, element in self.AllKeysDict.items(): if element.Widget == widget: return element return None

PySimpleGUI.py

PySimpleGUI

Python

9b814f003b0685757d76ce56ee9c98eae114d346

PySimpleGUI.py

widget_to_element

https://github.com/PySimpleGUI/PySimpleGUI.git

Added key and widget Element properties, new focus methods Element.get_next_focus, Element.get_previous_focus. New Window method Window.widget_to_element

def _get_fallback_devices(self) -> List[plaidml._DeviceConfig]: # Try get a supported device experimental_setting = plaidml.settings.experimental plaidml.settings.experimental = False devices = plaidml.devices(self._ctx, limit=100, return_all=True)[0] # Try get any device if not devices: plaidml.settings.experimental = True devices = plaidml.devices(self._ctx, limit=100, return_all=True)[0] plaidml.settings.experimental = experimental_setting if not devices: raise RuntimeError("No valid devices could be found for plaidML.") self._log("warning", f"PlaidML could not find a GPU. Falling back to: " f"{[d.id.decode('utf-8') for d in devices]}") return devices

lib/gpu_stats/amd.py

faceswap

Python

98a65277d8c55cfcbdbfa629f790a8f8731621a8

amd.py

_get_fallback_devices

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

Fix AMD Tests + docs

def nargs_error(name, takes, given): return TypeError(f"{name}() takes {takes} positional arguments but " f"{given} were given")

lib/matplotlib/_api/__init__.py

matplotlib

Python

973e475ef85524c5e9cef0638c90ca9a159935e4

__init__.py

nargs_error

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

Factor out error generation for function calls with wrong nargs. ... matching the wording for standard functions. Note that nargs_error returns the exception without raising it itself to make the control flow clearer on the caller side.

def test_tabular_model_form_meta_readonly_field(self): response = self.client.get(reverse("admin:admin_inlines_someparentmodel_add")) self.assertContains( response, '<img src="/static/admin/img/icon-unknown.svg" ' 'class="help help-tooltip" width="10" height="10" ' 'alt="(Help text from ModelForm.Meta)" ' 'title="Help text from ModelForm.Meta">', ) self.assertContains(response, "Label from ModelForm.Meta")

tests/admin_inlines/tests.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

test_tabular_model_form_meta_readonly_field

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

Refs #33476 -- Reformatted code with Black.

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

packages/python/plotly/plotly/graph_objs/_icicle.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_icicle.py

tiling

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

switch to black .22

def _execute_impl(self, *args, **kwargs): return self._deployment_handle

python/ray/serve/pipeline/deployment_node.py

ray

Python

b4d9fcdbf8be4c0f4985c29b251d2585cf269f76

deployment_node.py

_execute_impl

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

[Serve] Fix surprious `__call__` invocation in Deployment DAG's exec_impl (#24199)

def get_image_copy(self, color_format): logger.trace("Requested color format '%s' for frame '%s'", color_format, self._filename) image = getattr(self, f"_image_as_{color_format.lower()}")() return image

plugins/extract/pipeline.py

faceswap

Python

d9c84a5f9f6ff22d6f91594f218bea15764de96b

pipeline.py

get_image_copy

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

Add Laplacian Pyramid Loss

def subst_vars (s, local_vars): check_environ()

python3.10.4/Lib/distutils/util.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

util.py

subst_vars

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

add python 3.10.4 for windows

def test_empty_lsb_djob_rankfile(): with pytest.raises(ValueError, match="The environment variable `LSB_DJOB_RANKFILE` is empty"): LSFEnvironment()

tests/plugins/environments/test_lsf_environment.py

lightning

Python

dbf1acd5a553ffc1546734be164cc89cef2b741d

test_lsf_environment.py

test_empty_lsb_djob_rankfile

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

Modify LSFEnvironment to use more reliable environment variable (#10825) Co-authored-by: thomas chaton <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> Co-authored-by: Adrian Wälchli <[email protected]> Co-authored-by: Jirka Borovec <[email protected]>

def get_user_timezone() -> str: dotenv.load_dotenv(USER_ENV_FILE) user_tz = os.getenv("OPENBB_TIMEZONE") if user_tz: return user_tz return ""

openbb_terminal/helper_funcs.py

OpenBBTerminal

Python

f18c44b0668ef8e40d14d79780558521b2c02304

helper_funcs.py

get_user_timezone

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

New path for styles and add timezone as environment variable (#2509) * add log path * add test to check if log file is in correct dir * env path * black * mypy fix * add styles folder and styles from repo * add timezone as env variable * fix changes with main * fix test * flake8 * fix linting * fix linting * fix issue with light mpl stylesheet * change timezone variable name * change names * change names * names * simplify paths.py * change some names * fix error in logic * remove 3.11 from testing for now

def validator_xml_findtext(xpath) -> AllSchema: return AllSchema( validator_xml_find(xpath), validator_getattr("text"), )

src/streamlink/plugin/api/validate/_validators.py

streamlink

Python

120c10302381600abb4044083ce0a106b31df8f0

_validators.py

validator_xml_findtext

https://github.com/streamlink/streamlink.git

plugin.api.validate: turn module into package Turn module into package with multiple logical sub-modules: - Define a public interface in the package's `__init__` module - Split validation schemas, validators and validate logic - schemas: classes which register attributes used by their respective `validate` implementations - validators: functions which can internally call `validate` and which return something that can be validated - validate: singledispatch functions which implement the validation logic for schemas and various other types - Rename validation schemas for better internal references - Rename singledispatch methods Other clean-up work: - Update comments and fix grammar - Add type annotations - Use f-strings - Use `str` instead of the `text` alias - Simplify some code blocks - Rearrange classes and functions - Rephrase certain error messages - Add a few more tests for better code coverage

def get_instance_data_location() -> DataLocation: return DataLocation( name=prefect.settings.from_env().orion.data.name, base_path=prefect.settings.from_env().orion.data.base_path, scheme=prefect.settings.from_env().orion.data.scheme.lower(), )

src/prefect/orion/schemas/data.py

prefect

Python

1d4218a287ef343f32f1e32482592b471be5df1d

data.py

get_instance_data_location

https://github.com/PrefectHQ/prefect.git

Move `prefect.settings` to `prefect.settings.from_env()`

def test_reupload_different_file_size_and_file_hash(self): # Build a fake file, and create it through the admin view # since self.document doesn't have a file_size set. fake_file = SimpleUploadedFile("some_file.txt", b"this is the content") post_data = { "title": "My doc", "file": fake_file, } self.client.post(reverse("wagtaildocs:add"), post_data) document = models.Document.objects.get(title="My doc") old_file_size, old_file_hash = document.file_size, document.file_hash new_file = SimpleUploadedFile(document.filename, b"less content") self.client.post( reverse("wagtaildocs:edit", args=(document.pk,)), { "title": document.title, "file": new_file, }, ) document.refresh_from_db() self.assertNotEqual(document.file_size, old_file_size) self.assertNotEqual(document.file_hash, old_file_hash)

wagtail/documents/tests/test_admin_views.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

test_admin_views.py

test_reupload_different_file_size_and_file_hash

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

Reformat with black

def __call__(self, feat_maps, comp_attribs): assert isinstance(feat_maps, paddle.Tensor) assert comp_attribs.ndim == 3 assert comp_attribs.shape[2] == 8 sorted_dist_inds_batch = [] local_graph_batch = [] knn_batch = [] node_feat_batch = [] node_label_batch = [] for batch_ind in range(comp_attribs.shape[0]): num_comps = int(comp_attribs[batch_ind, 0, 0]) comp_geo_attribs = comp_attribs[batch_ind, :num_comps, 1:7] node_labels = comp_attribs[batch_ind, :num_comps, 7].astype( np.int32) comp_centers = comp_geo_attribs[:, 0:2] distance_matrix = euclidean_distance_matrix(comp_centers, comp_centers) batch_id = np.zeros( (comp_geo_attribs.shape[0], 1), dtype=np.float32) * batch_ind comp_geo_attribs[:, -2] = np.clip(comp_geo_attribs[:, -2], -1, 1) angle = np.arccos(comp_geo_attribs[:, -2]) * np.sign( comp_geo_attribs[:, -1]) angle = angle.reshape((-1, 1)) rotated_rois = np.hstack( [batch_id, comp_geo_attribs[:, :-2], angle]) rois = paddle.to_tensor(rotated_rois) content_feats = self.pooling(feat_maps[batch_ind].unsqueeze(0), rois) content_feats = content_feats.reshape([content_feats.shape[0], -1]) geo_feats = feature_embedding(comp_geo_attribs, self.node_geo_feat_dim) geo_feats = paddle.to_tensor(geo_feats) node_feats = paddle.concat([content_feats, geo_feats], axis=-1) sorted_dist_inds = np.argsort(distance_matrix, axis=1) pivot_local_graphs, pivot_knns = self.generate_local_graphs( sorted_dist_inds, node_labels) node_feat_batch.append(node_feats) node_label_batch.append(node_labels) local_graph_batch.append(pivot_local_graphs) knn_batch.append(pivot_knns) sorted_dist_inds_batch.append(sorted_dist_inds) (node_feats, adjacent_matrices, knn_inds, gt_linkage) = \ self.generate_gcn_input(node_feat_batch, node_label_batch, local_graph_batch, knn_batch, sorted_dist_inds_batch) return node_feats, adjacent_matrices, knn_inds, gt_linkage

ppocr/modeling/heads/local_graph.py

PaddleOCR

Python

1f9400dd7374ce9cc47981372e324ff412e53ba3

local_graph.py

__call__

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

add drrg

def emit_message(self): message = self.as_airbyte_message().json(exclude_unset=True) filtered_message = filter_secrets(message) print(filtered_message)

airbyte-cdk/python/airbyte_cdk/utils/traced_exception.py

airbyte

Python

73c7fad7fce952a8c3ba827ca858e4280bd846f3

traced_exception.py

emit_message

https://github.com/airbytehq/airbyte.git

CDK: emit `AirbyteTraceMessage` with exception trace information (#12593)

def test_purge_room_and_block(self) -> None: # Test that room is not purged with self.assertRaises(AssertionError): self._is_purged(self.room_id) # Test that room is not blocked self._is_blocked(self.room_id, expect=False) # Assert one user in room self._is_member(room_id=self.room_id, user_id=self.other_user) channel = self.make_request( "DELETE", self.url.encode("ascii"), content={"block": True, "purge": True}, access_token=self.admin_user_tok, ) self.assertEqual(200, channel.code, msg=channel.json_body) self.assertEqual(None, channel.json_body["new_room_id"]) self.assertEqual(self.other_user, channel.json_body["kicked_users"][0]) self.assertIn("failed_to_kick_users", channel.json_body) self.assertIn("local_aliases", channel.json_body) self._is_purged(self.room_id) self._is_blocked(self.room_id, expect=True) self._has_no_members(self.room_id)

tests/rest/admin/test_room.py

synapse

Python

c97042f7eef3748e17c90e48a4122389a89c4735

test_room.py

test_purge_room_and_block

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

Use literals in place of `HTTPStatus` constants in tests (#13469)

def get_element_html_by_id(id, html): return get_element_html_by_attribute('id', id, html)

yt_dlp/utils.py

yt-dlp

Python

6f32a0b5b70fe0f8b14c2946b40840b795044662

utils.py

get_element_html_by_id

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

[utils] Improve parsing for nested HTML elements (#2129) and add functions to return the HTML of elements Authored by: zmousm

def prereleases(self, value): # type: (bool) -> None

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

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

specifiers.py

prereleases

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

upd; format

def receive_parameter(self) -> ParameterRecord | None: raise NotImplementedError()

nni/runtime/trial_command_channel/base.py

nni

Python

7f1495c8b338c547005770cb83f2f7f4b88798f3

base.py

receive_parameter

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

Trial command channel (#5254)

def rebuild_cablepaths(instance, raw=False, **kwargs): if not raw: peer_termination = instance.get_peer_termination() # if peer_termination: # rebuild_paths(peer_termination)

netbox/circuits/signals.py

netbox

Python

5667a9c456e0514a2d00d6475e7013748b4a7c1e

signals.py

rebuild_cablepaths

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

Refactor CablePath.from_origin()

def register_handler(key, handler):

sympy/assumptions/ask.py

""" Register a handler in the ask system. key must be a string and handler athe ask system. key must be a

sympy

Python

ad766d1c02943e86f50559abfd0c72e582c9ca6a

ask.py

register_handler

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

Update the AskHandler deprecation warnings n.b., the issue number in the original warning message was wrong. It should have been #20837.

def test_float32_float64_equivalence(is_sparse): rng = np.random.RandomState(0) X = rng.rand(10, 2) if is_sparse: X[X < 0.8] = 0 X = sp.csr_matrix(X) km64 = BisectingKMeans(n_clusters=3, random_state=0).fit(X) km32 = BisectingKMeans(n_clusters=3, random_state=0).fit(X.astype(np.float32)) assert_allclose(km32.cluster_centers_, km64.cluster_centers_) assert_array_equal(km32.labels_, km64.labels_)

sklearn/cluster/tests/test_bisect_k_means.py

scikit-learn

Python

0822851f5cb17827939a7d7b4f8c84f43184ae89

test_bisect_k_means.py

test_float32_float64_equivalence

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

FEA Bisecting K-Means (#20031) Co-authored-by: Gael Varoquaux <[email protected]> Co-authored-by: Tom Dupré la Tour <[email protected]> Co-authored-by: Julien Jerphanion <[email protected]> Co-authored-by: Jérémie du Boisberranger <[email protected]>

def delete_tasks_annotations(project, queryset, **kwargs): task_ids = queryset.values_list('id', flat=True) annotations = Annotation.objects.filter(task__id__in=task_ids) count = annotations.count() annotations_ids = list(annotations.values('id')) annotations.delete() emit_webhooks_for_instance(project.organization, project, WebhookAction.ANNOTATIONS_DELETED, annotations_ids) bulk_update_stats_project_tasks(queryset) return {'processed_items': count, 'detail': 'Deleted ' + str(count) + ' annotations'}

label_studio/data_manager/actions/basic.py

label-studio

Python

85152f2c8c7f8b301b28fcd771f13b5c166c59eb

basic.py

delete_tasks_annotations

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

fix: DEV-1486: fix dm action when deleting all annotations, finished state is not updated (#1923) Co-authored-by: Max Tkachenko <[email protected]>

def _check_processes(self): while True: with self.server_lock: for client_id, specific_server in list(self.servers.items()): if specific_server.poll() is not None: logger.info( f"Specific server {client_id} is no longer running" f", freeing its port {specific_server.port}" ) del self.servers[client_id] # Port is available to use again. self._free_ports.append(specific_server.port) time.sleep(CHECK_PROCESS_INTERVAL_S)

python/ray/util/client/server/proxier.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

proxier.py

_check_processes

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 bounding_box(self, frame_index, face_index, pnt_x, width, pnt_y, height, aligner="FAN"): logger.trace("frame_index: %s, face_index %s, pnt_x %s, width %s, pnt_y %s, height %s, " "aligner: %s", frame_index, face_index, pnt_x, width, pnt_y, height, aligner) face = self._faces_at_frame_index(frame_index)[face_index] face.left = pnt_x face.width = width face.top = pnt_y face.height = height face._landmarks_xy = self._extractor.get_landmarks(frame_index, face_index, aligner) self._globals.tk_update.set(True)

tools/manual/detected_faces.py

faceswap

Python

5e73437be47f2410439a3c6716de96354e6a0c94

detected_faces.py

bounding_box

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

lib.align updates: - alignments.py - Add typed dicts for imported alignments - Explicitly check for presence of thumb value in alignments dict - linting - detected_face.py - Typing - Linting - Legacy support for pre-aligned face - Update dependencies to new property names

def _compile(self, obj, src, ext, cc_args, extra_postargs, pp_opts): if ext == '.rc' or ext == '.res': # gcc needs '.res' and '.rc' compiled to object files !!! try: self.spawn(["windres", "-i", src, "-o", obj]) except DistutilsExecError as msg: raise CompileError(msg) else: # for other files use the C-compiler try: self.spawn(self.compiler_so + cc_args + [src, '-o', obj] + extra_postargs) except DistutilsExecError as msg: raise CompileError(msg)

python3.10.4/Lib/distutils/cygwinccompiler.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

cygwinccompiler.py

_compile

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

add python 3.10.4 for windows

def __newobj_ex__(cls, args, kwargs): return cls.__new__(cls, *args, **kwargs)

python3.10.4/Lib/copyreg.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

copyreg.py

__newobj_ex__

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

add python 3.10.4 for windows

def mellin_transform(f, x, s, **hints): r return MellinTransform(f, x, s).doit(**hints)

sympy/integrals/transforms.py

sympy

Python

498015021131af4dbb07eb110e5badaba8250c7b

transforms.py

mellin_transform

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

Updated import locations

def get_verts(self): trans = self.get_transform() path = self.get_path() polygons = path.to_polygons(trans) if len(polygons): return polygons[0] return []

lib/matplotlib/patches.py

matplotlib

Python

03a0b5ea238014ba87f74ef766928287726aa00a

patches.py

get_verts

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

Doc: Fix grammar and spelling

def test_missing_cpp_namespace(self) -> None: yaml_str = output_error = self.get_errors_from_gen_backend_stubs(yaml_str) self.assertExpectedInline(output_error, )

tools/test/test_gen_backend_stubs.py

pytorch

Python

bb5b4cceb6f737448eaaa6817cd773b6f4b0e77d

test_gen_backend_stubs.py

test_missing_cpp_namespace

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

Revert "Revert D32498569: allow external backend codegen to toggle whether to generate out= and inplace kernels" (#69950) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/69950 This reverts commit f6cad53443704dfe5a20cc62bee14d91e3bffcaa. Test Plan: Imported from OSS Reviewed By: albanD Differential Revision: D33113545 Pulled By: bdhirsh fbshipit-source-id: d6590294662588d36c09662dea65919ad4e1e288

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

packages/python/plotly/plotly/graph_objs/_parcoords.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_parcoords.py

labelside

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

switch to black .22

async def test_find_in_range_altered_inverted(hass): mqtt_cover = MqttCover( hass, { "name": "cover.test", "state_topic": "state-topic", "get_position_topic": None, "command_topic": "command-topic", "availability_topic": None, "tilt_command_topic": "tilt-command-topic", "tilt_status_topic": "tilt-status-topic", "qos": 0, "retain": False, "state_open": "OPEN", "state_closed": "CLOSE", "position_open": 80, "position_closed": 180, "payload_open": "OPEN", "payload_close": "CLOSE", "payload_stop": "STOP", "payload_available": None, "payload_not_available": None, "optimistic": False, "value_template": None, "tilt_open_position": 180, "tilt_closed_position": 80, "tilt_min": 180, "tilt_max": 80, "tilt_optimistic": False, "set_position_topic": None, "set_position_template": None, "unique_id": None, "device_config": None, }, None, None, ) assert mqtt_cover.find_in_range_from_percent(60) == 120 assert mqtt_cover.find_in_range_from_percent(60, "cover") == 120

tests/components/mqtt/test_cover.py

core

Python

52561ce0769ddcf1e8688c8909692b66495e524b

test_cover.py

test_find_in_range_altered_inverted

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

Update MQTT tests to use the config entry setup (#72373) * New testframework and tests for fan platform * Merge test_common_new to test_common * Add alarm_control_panel * Add binary_sensor * Add button * Add camera * Add climate * Add config_flow * Add cover * Add device_tracker_disovery * Add device_trigger * Add diagnostics * Add discovery * Add humidifier * Add init * Add lecacy_vacuum * Add light_json * Add light_template * Add light * Add lock * Add number * Add scene * Add select * Add sensor * Add siren * Add state_vacuum * Add subscription * Add switch * Add tag * Add trigger * Add missed tests * Add another missed test * Add device_tracker * Remove commented out code * Correct tests according comments * Improve mqtt_mock_entry and recover tests * Split fixtures with and without yaml setup * Update fixtures manual_mqtt * Update fixtures mqtt_json * Fix test tasmota * Update fixture mqtt_room * Revert fixture changes, improve test * re-add test

def test_message(self) -> None: room_id = self.helper.create_room_as( self.other_user_id, tok=self.other_access_token ) # The user should be in the room. self.helper.join(room_id, self.banned_user_id, tok=self.banned_access_token) # Sending a message should complete successfully. result = self.helper.send_event( room_id=room_id, type=EventTypes.Message, content={"msgtype": "m.text", "body": "with right label"}, tok=self.banned_access_token, ) self.assertIn("event_id", result) event_id = result["event_id"] latest_events = self.get_success( self.store.get_latest_event_ids_in_room(room_id) ) self.assertNotIn(event_id, latest_events)

tests/rest/client/test_shadow_banned.py

synapse

Python

1901cb1d4a8b7d9af64493fbd336e9aa2561c20c

test_shadow_banned.py

test_message

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

Add type hints to `tests/rest/client` (#12084)

def vf2pp_isomorphism(G1, G2, node_label=None, default_label=None): try: mapping = next(vf2pp_all_isomorphisms(G1, G2, node_label, default_label)) return mapping except StopIteration: return None

networkx/algorithms/isomorphism/vf2pp.py

networkx

Python

bffcd74649fb95a57fb834846eb3c7d9693c55b8

vf2pp.py

vf2pp_isomorphism

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

Preliminary VF2++ Implementation (#5788) * Preliminary implementation of the candidate node pair ordering of VF2++ * Removed unused lines of code * Added todos * Added demo and pseudocode for VF2++ * Pointed out a problem with the pseudocode * Initialisation of the VF2++ basis structure * Initialise the GraphMatcher * Remove useless changes * Check labels for the node ordering + demo * Code to verify the ordering * Implement the ISO feasibility check * Implement the IND feasibility * Create State class * Fixed Dan's code for the ordering * Preliminary form of the node ordering * Add visualisation * Use list comprehension for the Ti computation * Remove function * Create Unit Tests * Add labels check + update unit tests * Add pre-computation of G-labels * Remove todo * First implementation of the candidate selection * Initial version of candidate selection * Remove unnecessary files * Merge candidate selection cases into one * Create a function to incrementally update Ti and Ti_out * Unit Test for the Ti updating * Implement the Ti/Ti_out restoring * Finish the restoring of Ti and create unit test * Update test file names * Uncommented test section * Replace redundant loop with for-any * Create unit test for candidate selection using the same label for all nodes * Create unit test for candidate selection using different labels for the nodes * Update feasibility tests without the use of the state class * Create more unit tests for the feasibility checking * Provide explanation for the unit tests * First successful test of the complete ISO VF2++ algorithm (except from the buggy ordering) * Fix bug: when popping a node to climb up the DFS tree we need the previous node ordering (containing the node that we just popped) * Create a separate file for the VF2++ ISO algorithm * Delete file * Remove redundant iteration and memory use * Demo for different labels * Add benchmark for the incremental Ti updating * Remove unnecessary class * Fix bug with the ordering WOOOHOOOOO * Unit tests for the node ordering * Add unit tests for the VF2++ ISO * Fix ordering * Probablly fix logic error in ordering * Reformatted with black * Test precommit * Test precommit * Test pre commit * Testing pre commit * Update networkx/algorithms/isomorphism/tests/VF2++/test_vf2pp.py Co-authored-by: Ross Barnowski <[email protected]> * Add unit tests for vf2++ * Added vf2++ unit test * Added precheck for VF2++ * Add unit tests for the precheck * Updated the benchmarking * Updated the benchmark * Apply hooks * Add documentation for the ordering * Add documentation for the candidate selection * Added documentation for the feasibility * Added documentation for vf2++ * Separate functions for ISO feasibility * Refine unit tests * Apply hooks * Force reformat all files * Remove redundant return statements from VF2__ * Apply hooks * Apply hooks * Format * Minor changes * Add unit tests * Adjusted benchmark * Fix benchmark * Isort * Isort benchmark * Apply optimization in the candidate selection * Track matched node with pointer * Adjust benchmark * Restructure in VF2 function * Make VF2++ EXTREMELY PRETTY * Removed sorting in feasibility rules * Get rid of visited set, check mapping instead * Update networkx/algorithms/isomorphism/tests/VF2++/test_vf2pp.py Co-authored-by: Dan Schult <[email protected]> * Made color assignement deterministic in VF2++ unit tests * Add keyword argument in unit tests * Hoepfully fix pipeline errors * Add vf2++ unit tests for multigraphs * Add Unit tests for Feasibility * Add unit tests for feasibility on multi graphs * Finalize feasibility tests for multigraph settings * Update documentation * Remove list comprehension and boost performance * Add unit tests for both graphs and multi graphs, using same labels * Isort * Optimized precheck * Replace loop with any * Optimize multigraph chceck * Transfer except statement * Check order consistency * Cache degrees and labels from the beginning * Delete benchmark to create new * Fix precheck bug * Adjust unit tests * Add benchmark for perofmance comparison between VF2 and VF2++ * Fix Ti computing tests * Hopefully fix isort * Add benchmark for the candidate selection methods * Rename modules: lower case, remove + * Refactor VF2++ arguments * Adjust VF2++ to work with multiple node labels * Add unit tests for multiple labels * Adjust for different number of labels per node * Finish arguments of VF2++ * Add user functions * Exported the two vf2++ functions * Added underscore prefix to private functions and fixed tests * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Dan Schult <[email protected]> * Update networkx/algorithms/isomorphism/demo.py Co-authored-by: Dan Schult <[email protected]> * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Dan Schult <[email protected]> * Apply suggested changes * Refactor rst files * Rm unnecessary toctree from isomorphism page. * Autodoc vf2pp module + public functions. * Rm dedicated vf2pp reference article. * Rm extra vf2pp listing from autosummaries. * Add summary of three functions to module docstring. * Make sure docstrings match their functions. * Refactor everything * Format code * Add unit test * Inline process level function in node ordering * Perform intersection first rather than last * Update networkx/algorithms/isomorphism/vf2pp_helpers/candidates.py Co-authored-by: Dan Schult <[email protected]> * Replace return statement with multiple operations and make it more readable * Update networkx/algorithms/isomorphism/vf2pp_helpers/feasibility.py Co-authored-by: Dan Schult <[email protected]> * Fix multigraph bug in update_Tinout * Abstract the argmax function * Add unit test for first case of candidate selection * Create unit test for all candidate selection cases * Remove re-definition of namedtuple parameters * Update doc/reference/algorithms/isomorphism.rst Co-authored-by: Ross Barnowski <[email protected]> * Update networkx/algorithms/__init__.py Co-authored-by: Ross Barnowski <[email protected]> * Delete benchmark file * Add demo file * Create util file containing the helper functions, common across all unit tests * Fix CI/CD * Make unit tests for Ti updating specific * Remove util functions from vf2pp tests * Remove utils functions from multivf2pp tests * Remove utils functions from candidate tests * Remove utils functions from ordering checks * Remove utils functions from Ti tests * Add example in docstring * Remove unused utils functions * Separate initialization of vf2pp * Inline functions and add new abstract function for pushing to stack * Inline push to stack * Add commentsa * Separate precheck functions * Replace method with existing networkx function * Include label initialization inside parameter initializer function * Rename Tiout to Titilde * Update networkx/algorithms/isomorphism/tests/vf2pp/test_Ti_computing.py Co-authored-by: Ross Barnowski <[email protected]> * Use canonical setitem for dictionary insertions * Update networkx/algorithms/isomorphism/tests/vf2pp/test_precheck.py Co-authored-by: Ross Barnowski <[email protected]> * Remove variable assignement * Merge unit tests of vf2pp for graphs and multigraphs into the same file * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Ross Barnowski <[email protected]> * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Ross Barnowski <[email protected]> * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Ross Barnowski <[email protected]> * Change variable name * Update networkx/algorithms/isomorphism/vf2pp.py Co-authored-by: Ross Barnowski <[email protected]> * Re-write ordering unit tests * Rename vf2pp solver * Update networkx/algorithms/isomorphism/vf2pp_helpers/feasibility.py Co-authored-by: Dan Schult <[email protected]> * Replace abstractified argmax function with two loops for readability * Apply final changes * Fix mistake * Update ref guide to reflect new fn names. * Update docstrings * Fix line length in module docstring * Copy updated parameter section to all 3 public fns. * Add Yields section to all_isomorphisms fn. Co-authored-by: Ross Barnowski <[email protected]> Co-authored-by: Dan Schult <[email protected]>

def url_params_from_lookup_dict(lookups): params = {} if lookups and hasattr(lookups, "items"): for k, v in lookups.items(): if callable(v): v = v() if isinstance(v, (tuple, list)): v = ",".join(str(x) for x in v) elif isinstance(v, bool): v = ("0", "1")[v] else: v = str(v) params[k] = v return params

django/contrib/admin/widgets.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

widgets.py

url_params_from_lookup_dict

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

Refs #33476 -- Reformatted code with Black.

def test_single_gen_next(self) -> None: id_gen = self._create_id_generator()

tests/storage/test_id_generators.py

synapse

Python

115f0eb2334b13665e5c112bd87f95ea393c9047

test_id_generators.py

test_single_gen_next

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

Reintroduce #14376, with bugfix for monoliths (#14468) * Add tests for StreamIdGenerator * Drive-by: annotate all defs * Revert "Revert "Remove slaved id tracker (#14376)" (#14463)" This reverts commit d63814fd736fed5d3d45ff3af5e6d3bfae50c439, which in turn reverted 36097e88c4da51fce6556a58c49bd675f4cf20ab. This restores the latter. * Fix StreamIdGenerator not handling unpersisted IDs Spotted by @erikjohnston. Closes #14456. * Changelog Co-authored-by: Nick Mills-Barrett <[email protected]> Co-authored-by: Erik Johnston <[email protected]>

def render(self): from dcim.models import Cable from wireless.models import WirelessLink traced_path = self.origin.trace() # Iterate through each (terms, cable, terms) segment in the path for i, segment in enumerate(traced_path): near_ends, connector, far_ends = segment # Near end parent if i == 0: # If this is the first segment, draw the originating termination's parent object parent_object = self._draw_box( x=0, width=self.width, color=self._get_color(near_ends[0].parent_object), url=near_ends[0].parent_object.get_absolute_url(), labels=self._get_labels(near_ends[0].parent_object) ) self.parent_objects.append(parent_object) # Near end termination self.draw_terminations(near_ends) # Connector (a Cable or WirelessLink) connector = connector[0] # Remove Cable from list if connector is not None: # Cable if type(connector) is Cable: connector_labels = [ f'Cable {connector}', connector.get_status_display() ] if connector.type: connector_labels.append(connector.get_type_display()) if connector.length and connector.length_unit: connector_labels.append(f'{connector.length} {connector.get_length_unit_display()}') cable = self.draw_cable( color=connector.color or '000000', url=connector.get_absolute_url(), labels=connector_labels ) self.connectors.append(cable) # WirelessLink elif type(connector) is WirelessLink: connector_labels = [ f'Wireless link {connector}', connector.get_status_display() ] if connector.ssid: connector_labels.append(connector.ssid) wirelesslink = self.draw_wirelesslink( url=connector.get_absolute_url(), labels=connector_labels ) self.connectors.append(wirelesslink) # Far end termination self.draw_terminations(far_ends) # Far end parent parent_object = self._draw_box( x=0, width=self.width, color=self._get_color(far_ends[0].parent_object), url=far_ends[0].parent_object.get_absolute_url(), labels=self._get_labels(far_ends[0].parent_object), ) self.parent_objects.append(parent_object) elif far_ends: # Attachment attachment = self.draw_attachment() self.connectors.append(attachment) # ProviderNetwork parent_object = self._draw_box( x=0, width=self.width, color=self._get_color(far_ends[0]), url=far_ends[0].get_absolute_url(), labels=self._get_labels(far_ends[0]) ) self.parent_objects.append(parent_object) # Determine drawing size self.drawing = svgwrite.Drawing( size=(self.width, self.cursor + 2) ) # Attach CSS stylesheet with open(f'{settings.STATIC_ROOT}/cable_trace.css') as css_file: self.drawing.defs.add(self.drawing.style(css_file.read())) # Add elements to the drawing in order of depth (Z axis) for element in self.connectors + self.parent_objects + self.terminations: self.drawing.add(element) return self.drawing

netbox/dcim/svg/cables.py

netbox

Python

bab6fb0de24d568371c8a55bcb22768b2d60f515

cables.py

render

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

Update SVG trace rendering to support multiple terminations per cable end

def _unquote_match(match): s = match.group(0) return unquote(s) # Header decoding is done a bit differently

python3.10.4/Lib/email/quoprimime.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

quoprimime.py

_unquote_match

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

add python 3.10.4 for windows

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

packages/python/plotly/plotly/graph_objs/scatter/_line.py

plotly.py

Python

d5a345d01507f8b6792c51507d1d8f35d7386d29

_line.py

backoff

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

update to plotly.js 2.16.1

def _update_png_headers(self): to_update = [ # Items whose face index has changed x for x in self._items.file_list_sorted if x["face_index"] != self._items.items[x["source_filename"]].index(x["face_index"])] for file_info in tqdm(to_update, desc="Updating PNG Headers", leave=False): frame = file_info["source_filename"] face_index = file_info["face_index"] new_index = self._items.items[frame].index(face_index) fullpath = os.path.join(self._items.folder, file_info["current_filename"]) logger.debug("Updating png header for '%s': face index from %s to %s", fullpath, face_index, new_index) # Update file_list_sorted for rename task orig_filename = f"{os.path.splitext(frame)[0]}_{new_index}.png" file_info["face_index"] = new_index file_info["original_filename"] = orig_filename face = DetectedFace() face.from_alignment(self._alignments.get_faces_in_frame(frame)[new_index]) meta = dict(alignments=face.to_png_meta(), source=dict(alignments_version=file_info["alignments_version"], original_filename=orig_filename, face_index=new_index, source_filename=frame, source_is_video=file_info["source_is_video"], source_frame_dims=file_info.get("source_frame_dims"))) update_existing_metadata(fullpath, meta) logger.info("%s Extracted face(s) had their header information updated", len(to_update))

tools/alignments/jobs.py

faceswap

Python

a9908b46f77dc66ac7efe7100ea0eed4b1f2b460

jobs.py

_update_png_headers

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

Alignments tool - Replace 'extract-large' with 'min-size'

def copy(self, deep=True): # noqa: PR01, RT01, D200 if deep: return self.__constructor__(query_compiler=self._query_compiler.copy()) new_obj = self.__constructor__(query_compiler=self._query_compiler) self._add_sibling(new_obj) return new_obj

modin/pandas/base.py

modin

Python

605efa618e7994681f57b11d04d417f353ef8d50

base.py

copy

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

DOCS-#3099: Fix `BasePandasDataSet` docstrings warnings (#4333) Co-authored-by: Yaroslav Igoshev <[email protected]> Signed-off-by: Alexander Myskov <[email protected]>

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

packages/python/plotly/plotly/graph_objs/_choropleth.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_choropleth.py

z

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

switch to black .22

def test_self_hosted_rate_limit_check(self, default_rate_limit_mock): request = self.factory.get("/") default_rate_limit_mock.return_value = RateLimit(10, 100) self.middleware.process_view(request, self._test_endpoint, [], {}) assert not request.will_be_rate_limited default_rate_limit_mock.return_value = RateLimit(1, 1) with freeze_time("2000-01-01") as frozen_time: self.middleware.process_view(request, self._test_endpoint, [], {}) assert not request.will_be_rate_limited frozen_time.tick(1) self.middleware.process_view(request, self._test_endpoint, [], {}) assert not request.will_be_rate_limited

tests/sentry/middleware/test_ratelimit_middleware.py

sentry

Python

2d33f7cba85abb192111733892f0e7ac49812054

test_ratelimit_middleware.py

test_self_hosted_rate_limit_check

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

ref(rate limits): Move settings out of sentry (#33806) * ref(rate limits): Move settings out of sentry

def get_queryset(self, request): queryset = SavedFilter.objects.all() user = request.user if user.is_superuser: return queryset if user.is_anonymous: return queryset.filter(shared=True) return queryset.filter( Q(shared=True) | Q(user=user) )

netbox/extras/views.py

netbox

Python

484efdaf75f267a43f9321b938fda1bc967b9e53

views.py

get_queryset

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

Closes #9623: Implement saved filters (#10801) * Initial work on saved filters * Return only enabled/shared filters * Add tests * Clean up filtering of usable SavedFilters

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

packages/python/plotly/plotly/graph_objs/_choropleth.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_choropleth.py

locations

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

switch to black .22

def get_feature_names_out(self, input_features=None): powers = self.powers_ input_features = _check_feature_names_in(self, input_features) feature_names = [] for row in powers: inds = np.where(row)[0] if len(inds): name = " ".join( "%s^%d" % (input_features[ind], exp) if exp != 1 else input_features[ind] for ind, exp in zip(inds, row[inds]) ) else: name = "1" feature_names.append(name) return np.asarray(feature_names, dtype=object)

sklearn/preprocessing/_polynomial.py

scikit-learn

Python

279388d9ed2ea83194dd45a2d78161be30b43aa7

_polynomial.py

get_feature_names_out

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

DOC Improve get_feature_names_out docstrings (#22718) Co-authored-by: Thomas J. Fan <[email protected]>

def squared_hinge(y_true, y_pred): y_pred = tf.convert_to_tensor(y_pred) y_true = tf.cast(y_true, y_pred.dtype) y_true = _maybe_convert_labels(y_true) return backend.mean( tf.square(tf.maximum(1.0 - y_true * y_pred, 0.0)), axis=-1 ) @keras_export("keras.metrics.hinge", "keras.losses.hinge") @tf.__internal__.dispatch.add_dispatch_support

keras/losses.py

@keras_export("keras.metrics.hinge", "keras.losses.hinge") @tf.__internal__.dispatch.add_dispatch_support

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

losses.py

squared_hinge

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

async def results_directory(self) -> Path: directory = Path(os.getcwd()) / ".prefect-results" os.makedirs(directory, exist_ok=True) for filename in os.listdir(directory): os.unlink(directory / filename) return directory

tests/flow_runners/test_kubernetes.py

prefect

Python

ab322ef9b1bb65887984854dc39b316f98da3b97

test_kubernetes.py

results_directory

https://github.com/PrefectHQ/prefect.git

Allow Kubernetes users to customize or replace the Job manifest for flow runs Adding support for either replacing the base `job=` for a KubernetesFlowRunner, applying a list of RFC 6902 JSON patches provided by `customizations=`, or both. This implements the core changes, while preserving backwards compatiblity with the current API. Users can still provide `image=`, `namepace=` and other top-level parameters, which are now considered "shortcuts" for generating JSON patches. This is most of the work for PrefectHQ/orion#1900, but does not include the planned CLI updates to allow users to preview their jobs. Those will come in a separate change. Also updating the Kubernetes integration tests to be more reliable, and adding docs about how to get set up for running them.

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

packages/python/plotly/plotly/graph_objs/_carpet.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_carpet.py

b

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

switch to black .22

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

packages/python/plotly/plotly/graph_objs/scatter/_line.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_line.py

simplify

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

switch to black .22

def set_active(self, index): if index not in range(len(self.labels)): raise ValueError(f'Invalid CheckButton index: {index}') if colors.same_color( self._crosses.get_facecolor()[index], colors.to_rgba("none") ): self._crosses.get_facecolor()[index] = colors.to_rgba("k") else: self._crosses.get_facecolor()[index] = colors.to_rgba("none") if hasattr(self, "_rectangles"): for i, p in enumerate(self._rectangles): p.set_facecolor("k" if colors.same_color( p.get_facecolor(), colors.to_rgba("none")) else "none") if self.drawon: self.ax.figure.canvas.draw() if self.eventson: self._observers.process('clicked', self.labels[index].get_text())

lib/matplotlib/widgets.py

matplotlib

Python

723cd86d7d7bdc14a4d3fc0e08c3a01e72d310b6

widgets.py

set_active

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

Use scatter for check boxes instead of Rectangle With the current implementation, the boxes get stretched into rectangles if the aspect ratio is not maintained. To overcome this, the boxes are now created using scatter instead to maintain their shapes.

def column_partitions(cls, partitions, full_axis=True): if not isinstance(partitions, list): partitions = [partitions] return [ cls._column_partitions_class(col, full_axis=full_axis) for frame in partitions for col in frame.T ]

modin/core/dataframe/pandas/partitioning/partition_manager.py

modin

Python

8d1004fdbdaa05700613c8e6287641a732acf606

partition_manager.py

column_partitions

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

FIX-#3675: Expand virtual partitioning utility (#3886) Co-authored-by: mvashishtha <[email protected]> Co-authored-by: jeffreykennethli <[email protected]> Co-authored-by: Anatoly Myachev <[email protected]> Co-authored-by: Vasily Litvinov <[email protected]> Co-authored-by: Alexey Prutskov <[email protected]> Co-authored-by: Mahesh Vashishtha <[email protected]> Co-authored-by: Naren Krishna <[email protected]> Co-authored-by: Yaroslav Igoshev <[email protected]> Co-authored-by: Dmitry Chigarev <[email protected]> Co-authored-by: Yaroslav Igoshev <[email protected]> Co-authored-by: Doris Lee <[email protected]> Co-authored-by: Aditya Parameswaran <[email protected]> Co-authored-by: Rehan Sohail Durrani <[email protected]> Co-authored-by: Susmit Vengurlekar <[email protected]> Signed-off-by: Devin Petersohn <[email protected]>

def token_kwargs(bits, parser, support_legacy=False): if not bits: return {} match = kwarg_re.match(bits[0]) kwarg_format = match and match[1] if not kwarg_format: if not support_legacy: return {} if len(bits) < 3 or bits[1] != "as": return {} kwargs = {} while bits: if kwarg_format: match = kwarg_re.match(bits[0]) if not match or not match[1]: return kwargs key, value = match.groups() del bits[:1] else: if len(bits) < 3 or bits[1] != "as": return kwargs key, value = bits[2], bits[0] del bits[:3] kwargs[key] = parser.compile_filter(value) if bits and not kwarg_format: if bits[0] != "and": return kwargs del bits[:1] return kwargs

django/template/base.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

base.py

token_kwargs

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

Refs #33476 -- Reformatted code with Black.

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

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

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_colorbar.py

xpad

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

switch to black .22

async def load(self) -> bool: if not self.name and self.flow_name: raise ValueError("Both a deployment name and flow name must be provided.")

src/prefect/deployments.py

prefect

Python

f107fb0dcffae284cbefd7590274087b147c8483

deployments.py

load

https://github.com/PrefectHQ/prefect.git

Implement load and update methods on deployment objects

async def test_homeassistant_bridge_fan_setup(hass): accessories = await setup_accessories_from_file( hass, "home_assistant_bridge_fan.json" ) await setup_test_accessories(hass, accessories) await assert_devices_and_entities_created( hass, DeviceTestInfo( unique_id=HUB_TEST_ACCESSORY_ID, name="Home Assistant Bridge", model="Bridge", manufacturer="Home Assistant", sw_version="0.104.0.dev0", hw_version="", serial_number="homekit.bridge", devices=[ DeviceTestInfo( name="Living Room Fan", model="Fan", manufacturer="Home Assistant", sw_version="0.104.0.dev0", hw_version="", serial_number="fan.living_room_fan", unique_id="00:00:00:00:00:00:aid:1256851357", devices=[], entities=[ EntityTestInfo( entity_id="fan.living_room_fan", friendly_name="Living Room Fan", unique_id="00:00:00:00:00:00_1256851357_8", supported_features=( FanEntityFeature.DIRECTION | FanEntityFeature.SET_SPEED | FanEntityFeature.OSCILLATE ), capabilities={ "preset_modes": None, }, state="off", ) ], ), ], entities=[], ), )

tests/components/homekit_controller/specific_devices/test_homeassistant_bridge.py

core

Python

f23b1750e85f07091eb896a0b12b8f95e5646338

test_homeassistant_bridge.py

test_homeassistant_bridge_fan_setup

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

Migrate HomeKit Controller to use stable identifiers (#80064)

def get_progressbar_class(): @hookspec

src/ocrmypdf/pluginspec.py

@hookspec

OCRmyPDF

Python

1950acfbda3a659ca70658c848f900306ab2e35e

pluginspec.py

get_progressbar_class

https://github.com/ocrmypdf/OCRmyPDF.git

docs: proofread plugins

def test_context_placement_group(): driver_code = proc = run_string_as_driver_nonblocking(driver_code)

python/ray/data/tests/test_context_propagation.py

ray

Python

68d4dd3a8b2defa5549cfa70e59aa26f2d4825a3

test_context_propagation.py

test_context_placement_group

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

[Datasets] Add explicit resource allocation option via a top-level scheduling strategy (#24438) Instead of letting Datasets implicitly use cluster resources in the margins of explicit allocations of other libraries, such as Tune, Datasets should provide an option for explicitly allocating resources for a Datasets workload for users that want to box Datasets in. This PR adds such an explicit resource allocation option, via exposing a top-level scheduling strategy on the DatasetContext with which a placement group can be given.

def child_identifiers(self): used_names = set() result = [] for panel in self.children: base_name = panel.clean_name or "panel" candidate_name = base_name suffix = 0 while candidate_name in used_names: suffix += 1 candidate_name = "%s%d" % (base_name, suffix) result.append(candidate_name) used_names.add(candidate_name) return result

wagtail/admin/panels.py

wagtail

Python

5521e3b59f45af830ebac3c5686e092616eb82e4

panels.py

child_identifiers

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

Update panel templates for new designs (EditHandler rewrite) Co-authored-by: Thibaud Colas <[email protected]>

def standard_b64decode(s): return b64decode(s) _urlsafe_encode_translation = bytes.maketrans(b'+/', b'-_') _urlsafe_decode_translation = bytes.maketrans(b'-_', b'+/')

python3.10.4/Lib/base64.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

base64.py

standard_b64decode

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

add python 3.10.4 for windows

def test_logout_doesnt_cache(self): response = self.client.get("/logout/") self.assertIn("no-store", response.headers["Cache-Control"])

tests/auth_tests/test_views.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

test_views.py

test_logout_doesnt_cache

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

Refs #33476 -- Reformatted code with Black.

def reset_page_edit_handler_cache(**kwargs): if kwargs["setting"] == "WAGTAILADMIN_COMMENTS_ENABLED": set_default_page_edit_handlers(Page) for model in apps.get_models(): if issubclass(model, Page): model.get_edit_handler.cache_clear()

wagtail/admin/edit_handlers.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

edit_handlers.py

reset_page_edit_handler_cache

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

Reformat with black

def coefficient_system(f, params): r if isinstance(f, Eq): # got equation, so move all the # terms to the left hand side f = f.lhs - f.rhs syms = set(params) # e.g. A*exp(x) + B - (exp(x) + y) fex = _mexpand(f, recursive=True) # -(exp(x) + y), A*exp(x) + B _, dep = fex.as_independent(*syms) # {x} = {x, A, B} - {A, B} ex = dep.free_symbols - syms # {exp(x): A - 1, 1: B - y} gen_co = fex.as_coefficients_dict(*ex) # ignore those that are 0 and return None # if any are coefficients are numbers eqs = [] for k, v in gen_co.items(): if v.is_zero: continue elif v.is_number: return eqs.append(v) return set(eqs)

sympy/solvers/solvers.py

sympy

Python

44b65804ef1e39f99a890cac82b6d5143251173b

solvers.py

coefficient_system

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

update free symbol idiom

def _iter_built_with_prepended(installed, infos): # type: (Candidate, Iterator[IndexCandidateInfo]) -> Iterator[Candidate] yield installed versions_found = {installed.version} # type: Set[_BaseVersion] for version, func in infos: if version in versions_found: continue candidate = func() if candidate is None: continue yield candidate versions_found.add(version)

.venv/lib/python3.8/site-packages/pip/_internal/resolution/resolvelib/found_candidates.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

found_candidates.py

_iter_built_with_prepended

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

upd; format

def patch_response_headers(response, cache_timeout=None): if cache_timeout is None: cache_timeout = settings.CACHE_MIDDLEWARE_SECONDS if cache_timeout < 0: cache_timeout = 0 # Can't have max-age negative if not response.has_header("Expires"): response.headers["Expires"] = http_date(time.time() + cache_timeout) patch_cache_control(response, max_age=cache_timeout)

django/utils/cache.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

cache.py

patch_response_headers

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

Refs #33476 -- Reformatted code with Black.

def data(self) -> 'DataRequest._DataContent': return DataRequest._DataContent(self.proto.data)

jina/types/request/data.py

jina

Python

933415bfa1f9eb89f935037014dfed816eb9815d

data.py

data

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 test_export_too_many_fields(self): payload = self.make_payload("discover", {"field": ["id"] * (MAX_FIELDS + 1)}) with self.feature("organizations:discover-query"): response = self.get_error_response(self.org.slug, status_code=400, **payload) assert response.data == { "non_field_errors": [ "You can export up to 20 fields at a time. Please delete some and try again." ] }

tests/sentry/data_export/endpoints/test_data_export.py

sentry

Python

096b5511e244eecd8799b2a0324655207ce8985e

test_data_export.py

test_export_too_many_fields

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

ref(tests): Remove `get_valid_response()` (#34822)

def test_delete_missing_current_version(self) -> None: e = self.get_failure(self.handler.delete_version(self.local_user), SynapseError) res = e.value.code self.assertEqual(res, 404)

tests/handlers/test_e2e_room_keys.py

synapse

Python

652d1669c5a103b1c20478770c4aaf18849c09a3

test_e2e_room_keys.py

test_delete_missing_current_version

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

Add missing type hints to tests.handlers. (#14680) And do not allow untyped defs in tests.handlers.

def test_write_animation_L(tmp_path): with Image.open("Tests/images/iss634.gif") as orig: assert orig.n_frames > 1 temp_file = str(tmp_path / "temp.webp") orig.save(temp_file, save_all=True) with Image.open(temp_file) as im: assert im.n_frames == orig.n_frames # Compare first and last frames to the original animated GIF orig.load() im.load() assert_image_similar(im, orig.convert("RGBA"), 32.9) if is_big_endian(): webp = parse_version(features.version_module("webp")) if webp < parse_version("1.2.2"): return orig.seek(orig.n_frames - 1) im.seek(im.n_frames - 1) orig.load() im.load() assert_image_similar(im, orig.convert("RGBA"), 32.9)

Tests/test_file_webp_animated.py

Pillow

Python

e05b8d74819fa18a908ea201a86138ea3168aba9

test_file_webp_animated.py

test_write_animation_L

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

libwebp 1.2.2 fixed endian bugs

async def install_protected_system_blocks(session): for block in [ prefect.blocks.system.JSON, prefect.blocks.system.DateTime, prefect.blocks.system.Secret, prefect.filesystems.LocalFileSystem, prefect.infrastructure.Process, ]: block_type = block._to_block_type() block_type.is_protected = True block_type = await models.block_types.create_block_type( session=session, block_type=block_type, override=True ) block_schema = await models.block_schemas.create_block_schema( session=session, block_schema=block._to_block_schema(block_type_id=block_type.id), override=True, ) @router.post("/install_system_block_types")

src/prefect/orion/api/block_types.py

@router.post("/install_system_block_types")

prefect

Python

1a3a3adf0bf4d83206f0367b98905a9db15cfec4

block_types.py

install_protected_system_blocks

https://github.com/PrefectHQ/prefect.git

Adds ability to delete block types via the CLI (#6849) * Ensure system blocks are protected on destructive API calls * Enable deleting block types * Ensure Block Types are protected against destructive API actions * Ensure updating protected Block Types on update doesn't impact saving * ⚫ * isort * Suppress status errors * ⚫

def pretty_duration(hours): seconds = int(3600 * hours) days, seconds = divmod(seconds, 86400) hours, seconds = divmod(seconds, 3600) minutes, seconds = divmod(seconds, 60) if days > 0: return "%dd %dh %dm" % (days, hours, minutes) if hours > 0: return "%dh %dm" % (hours, minutes) return "%dm" % minutes

homeassistant/components/history_stats/helpers.py

core

Python

73a368c24246b081cdb98923ca3180937d436c3b

helpers.py

pretty_duration

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

Refactor history_stats to minimize database access (part 2) (#70255)

def deserialize(name, custom_objects=None): return deserialize_keras_object( name, module_objects=globals(), custom_objects=custom_objects, printable_module_name="loss function", ) @keras_export("keras.losses.get")

keras/losses.py

@keras_export("keras.losses.get")

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

losses.py

deserialize

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def paths_check(app_configs, **kwargs): return ( path_check("PAPERLESS_DATA_DIR", settings.DATA_DIR) + path_check("PAPERLESS_TRASH_DIR", settings.TRASH_DIR) + path_check("PAPERLESS_MEDIA_ROOT", settings.MEDIA_ROOT) + path_check("PAPERLESS_CONSUMPTION_DIR", settings.CONSUMPTION_DIR) ) @register()

src/paperless/checks.py

@register()

paperless-ngx

Python

fc695896dd8b0169001c438054a79e347053fac6

checks.py

paths_check

https://github.com/paperless-ngx/paperless-ngx.git

Format Python code with black

def extract_operations(self) -> List[str]: if not self.step: return [] try: operations = re.findall(r'[-+*^/]', self.step) except TypeError as e: print(f"TYPE: {type(self.step)}") print(f"STEP: {self.step}") raise e return operations

parlai/tasks/reasoning/reason_types/step_by_step.py

ParlAI

Python

0f129e9c38b6b10d80982ecc412785db62842938

step_by_step.py

extract_operations

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

ROSCOE suite of metrics (#4839) * ROSCOE suite of metrics * updating tests * lint * fixing protobuf version to stop cleaninstall failures * updating requirements * convert to absolute path * moving tests because of the dependency issues * adding new dependencies in tests * add test dependencies * fixing deps * updating task list * checklist deps can't be installed on circleci * actually fix protobuf version * protobuf range * protobuf conflict with google-api-core * return tests * convert imports to absolute path * trying checklist again * trying to avoid checklist failures * checklist to teacher tests * add user option to avoid installation failure * jupiter as well * typo * moving into virtual env setup * user param not allowed in virtual env * move spacy to circleCI because it's big * replace local model with HF * fixes based on comments * remove unused nli scores, fix tests * Added path to BART model Co-authored-by: Spencer Poff <[email protected]>

def _metadata_reader(self) -> ImgMetaType: for filename, metadata in tqdm(read_image_meta_batch(self._loader.file_list), total=self._loader.count, desc=self._description, leave=False): alignments = self._get_alignments(metadata.get("itxt", {})) yield filename, None, alignments

tools/sort/sort_methods.py

faceswap

Python

98d01760e469fd2108eed8d0b0a1ba6297c3177c

sort_methods.py

_metadata_reader

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

Overhaul sort: - Standardize image data reading and writing - Optimize loading (just one pass required) - Make all sort groups binnable (to greater or lesser results) - Add sort by pitch - Deprecate multiple options - linting, docs + locales

def _parse_jp2_header(fp): # Find the JP2 header box reader = BoxReader(fp) header = None mimetype = None while reader.has_next_box(): tbox = reader.next_box_type() if tbox == b"jp2h": header = reader.read_boxes() break elif tbox == b"ftyp": if reader.read_fields(">4s")[0] == b"jpx ": mimetype = "image/jpx" size = None mode = None bpc = None nc = None dpi = None # 2-tuple of DPI info, or None while header.has_next_box(): tbox = header.next_box_type() if tbox == b"ihdr": height, width, nc, bpc = header.read_fields(">IIHB") size = (width, height) if nc == 1 and (bpc & 0x7F) > 8: mode = "I;16" elif nc == 1: mode = "L" elif nc == 2: mode = "LA" elif nc == 3: mode = "RGB" elif nc == 4: mode = "RGBA" elif tbox == b"res ": res = header.read_boxes() while res.has_next_box(): tres = res.next_box_type() if tres == b"resc": vrcn, vrcd, hrcn, hrcd, vrce, hrce = res.read_fields(">HHHHBB") hres = _res_to_dpi(hrcn, hrcd, hrce) vres = _res_to_dpi(vrcn, vrcd, vrce) if hres is not None and vres is not None: dpi = (hres, vres) break if size is None or mode is None: raise SyntaxError("Malformed JP2 header") return size, mode, mimetype, dpi ## # Image plugin for JPEG2000 images.

src/PIL/Jpeg2KImagePlugin.py

Pillow

Python

ee85e387bab535e2339b9d3cd1ab87c61d23af15

Jpeg2KImagePlugin.py

_parse_jp2_header

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

Remove redundant parentheses

def sparsemax_bisect(X, dim=-1, n_iter=50, ensure_sum_one=True): return SparsemaxBisectFunction.apply(X, dim, n_iter, ensure_sum_one)

ludwig/utils/entmax/root_finding.py

ludwig

Python

20a8a6fdb516e543d4598c852063ba0fb407f3ba

root_finding.py

sparsemax_bisect

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

Removes dependency on entmax from PyPI, adds entmax source to utils (#1778) * Removes dependency on entmax from PyPi, add entmax source code into utils instead. * Removes build status and image from README * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix python formatting in docs for pre-commit. * Removes __main__ from test_losses.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update entmax imports. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: Daniel Treiman <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

async def async_load(self) -> _T | None: if self._load_task is None: self._load_task = self.hass.async_create_task(self._async_load()) return await self._load_task

homeassistant/helpers/storage.py

core

Python

16900dcef15bdb9016feabd12bfec94d61ed4df6

storage.py

async_load

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

Make Store a generic class (#74617)

def get_ld_headers(file): # get_ld_headers parsing: # 1. Find a line that starts with /, ./, or ../ - set as ld_header # 2. If "INDEX" in occurs in a following line - return ld_header # 3. get info (lines starting with [0-9]) ldr_headers = [] p = Popen(["/usr/bin/dump", f"-X{AIX_ABI}", "-H", file], universal_newlines=True, stdout=PIPE, stderr=DEVNULL) # be sure to read to the end-of-file - getting all entries while True: ld_header = get_ld_header(p) if ld_header: ldr_headers.append((ld_header, get_ld_header_info(p))) else: break p.stdout.close() p.wait() return ldr_headers

python3.10.4/Lib/ctypes/_aix.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

_aix.py

get_ld_headers

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

add python 3.10.4 for windows

def make_variant_item_code(template_item_code, template_item_name, variant): if variant.item_code: return abbreviations = [] for attr in variant.attributes: item_attribute = frappe.db.sql( , {"attribute": attr.attribute, "attribute_value": attr.attribute_value}, as_dict=True, ) if not item_attribute: continue # frappe.throw(_('Invalid attribute {0} {1}').format(frappe.bold(attr.attribute), # frappe.bold(attr.attribute_value)), title=_('Invalid Attribute'), # exc=InvalidItemAttributeValueError) abbr_or_value = ( cstr(attr.attribute_value) if item_attribute[0].numeric_values else item_attribute[0].abbr ) abbreviations.append(abbr_or_value) if abbreviations: variant.item_code = "{0}-{1}".format(template_item_code, "-".join(abbreviations)) variant.item_name = "{0}-{1}".format(template_item_name, "-".join(abbreviations)) @frappe.whitelist()

erpnext/controllers/item_variant.py