Datasets:

semeru

/

Galeras-3k_deduped

like 0

mkdocs/config/config_options.py

Add `edit_uri_template` config

mkdocs

Python

config_options.py

def run_validation(self, value): try: return self.Template(self.Formatter(), value) except Exception as e: raise ValidationError(e)

ad43f1b8b7c5280dd8679af1d9624eed3b1bce1b

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

def run_validation(self, value): try

run_validation

test/mitmproxy/proxy/layers/http/test_http3.py

[quic] first test for H3

mitmproxy

Python

test_http3.py

def __rshift__(self, e): if isinstance(e, collections.abc.Iterable): for e_i in e: super().__rshift__(e_i) else: super().__rshift__(e) return self

a308d3dabcbb938a79902bfd02cf2be0b711c308

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

def __rshift__(self, e): if isinstance(e, collections.abc.Iterable): for e_i in e: super().__rshift__(e_i) else:

__rshift__

tests/unit/browser/test_qutescheme.py

Add --include-hidden for :config-diff Needed it for debugging, so why not implement it properly. TODO: Changelog, pick to master?

qutebrowser

Python

test_qutescheme.py

def prepare_config(self, config_stub): config_stub.set_obj( "content.javascript.enabled", True, pattern=urlmatch.UrlPattern("chrome-devtools://*"), hide_userconfig=True, )

ed19d7f58b2664bb310c7cb6b52c5b9a06ea60b2

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

def prepare_config(self, config_stub): config_stub.set_obj( "content.javascript.enabled", True, pattern=urlmatch.UrlPattern("

prepare_config

tests/unit/test_mongodb_server.py

fix test concurrency: imported executor_commands didn't allow to mock SQLQuery inside MongoServer

mindsdb

Python

test_mongodb_server.py

def unload_module(path): # remove all modules started with path import sys to_remove = [] for module_name in sys.modules: if module_name.startswith(path): to_remove.append(module_name) for module_name in to_remove: sys.modules.pop(module_name)

d58879d9595ca64a4d9ef22ec81c3d3b9d4de864

https://github.com/mindsdb/mindsdb.git

def unload_module(path): # remove all modules started with path import sys to_remove = [] for module_name in sys.modules: if module_na

unload_module

tests/embedding_test_utils.py

unify embedding tests

flair

Python

embedding_test_utils.py

def test_keep_batch_order(self): embeddings = self.create_embedding_with_args(self.default_args) embedding_names = embeddings.get_names() sentences_1 = [Sentence("First sentence"), Sentence("This is second sentence")] sentences_2 = [Sentence("This is second sentence"), Sentence("First sentence")] embeddings.embed(sentences_1) embeddings.embed(sentences_2) assert sentences_1[0].to_original_text() == "First sentence" assert sentences_1[1].to_original_text() == "This is second sentence" if self.is_document_embedding: assert ( torch.norm( sentences_1[0].get_embedding(embedding_names) - sentences_2[1].get_embedding(embedding_names) ) == 0.0 ) assert ( torch.norm( sentences_1[1].get_embedding(embedding_names) - sentences_2[0].get_embedding(embedding_names) ) == 0.0 ) if self.is_token_embedding: for i in range(len(sentences_1[0])): assert ( torch.norm( sentences_1[0][i].get_embedding(embedding_names) - sentences_2[1][i].get_embedding(embedding_names) ) == 0.0 ) for i in range(len(sentences_1[1])): assert ( torch.norm( sentences_1[1][i].get_embedding(embedding_names) - sentences_2[0][i].get_embedding(embedding_names) ) == 0.0 ) del embeddings

98cbbaffd1bc0c191951e0b09c4f9ff8e083a61c

https://github.com/flairNLP/flair.git

def test_keep_batch_order(self): embeddings

test_keep_batch_order

erpnext/loan_management/doctype/loan_balance_adjustment/loan_balance_adjustment.py

feat: add adjustment amount to loan - fix: bugs in loan balance adjustment

erpnext

Python

loan_balance_adjustment.py

def validate(self): if self.amount == 0: frappe.throw(_("Amount cannot be zero")) if self.amount < 0: frappe.throw(_("Amount cannot be negative")) self.set_missing_values()

5c0a25012c602ed0d47136468e3b0bee11ddf5dd

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

def validate(self): if self.amount == 0: frappe.throw(_("Amount cannot be zero")) if self.amount < 0: frappe.throw(_("Amount cannot be negative")) self.set_missing_values()

validate

apps/users/serializers/user.py

fix: 修复创建更新用户给定默认权限

jumpserver

Python

user.py

def save_and_set_custom_m2m_fields(self, validated_data, save_handler, created): m2m_values = {} for f, default_roles in self.custom_m2m_fields.items(): roles = validated_data.pop(f, None) if created and not roles: roles = [ Role.objects.filter(id=role.id).first() for role in default_roles ] m2m_values[f] = roles instance = save_handler(validated_data) for field_name, value in m2m_values.items(): if value is None: continue field = getattr(instance, field_name) field.set(value) return instance

a930f3aab3b7b084a5fb4b60fd1b8722fee890be

https://github.com/jumpserver/jumpserver.git

def save_and_set_custom_m2m_fields(self, validated_data, save_handler, created): m2m_values = {} for f, default_roles in self.custom_m2m_fields.items(): roles = validated_data.pop(f, None) if created and not roles: roles = [ Role.objects.filter(id=role.id).first()

save_and_set_custom_m2m_fields

python/ray/air/checkpoint.py

[AIR] `Checkpoint` improvements (#30948) Boston dataset (used in tests) is/will be removed from sklearn. Signed-off-by: Antoni Baum <antoni.baum@protonmail.com> Co-authored-by: Balaji Veeramani <bveeramani@berkeley.edu>

ray

Python

checkpoint.py

def to_bytes(self) -> bytes: # Todo: Add support for stream in the future (to_bytes(file_like)) data_dict = self.to_dict() if "bytes_data" in data_dict: return data_dict["bytes_data"] return pickle.dumps(data_dict)

3a1bee28a19e81416ec2f2112cb6dcbc6e7ab845

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

def to_bytes(self) -> bytes:

to_bytes

tests/maskformer/test_feature_extraction_maskformer.py

Tests for MaskFormerFeatureExtractor's post_process*** methods (#15929) * proper tests for post_process*** methods in feature extractor * mask th == 0 * Update tests/maskformer/test_feature_extraction_maskformer.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * make style Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

transformers

Python

test_feature_extraction_maskformer.py

def get_fake_maskformer_outputs(self): return MaskFormerForInstanceSegmentationOutput( # +1 for null class class_queries_logits=torch.randn((self.batch_size, self.num_queries, self.num_classes + 1)), masks_queries_logits=torch.randn((self.batch_size, self.num_queries, self.height, self.width)), ) @require_torch @require_vision

040c11f6dac72bc3088498aa19184da677563424

@require_torch @require_vision

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

def get_fake_maskformer_outputs(self): return MaskFormerForInstanceSegmentationOutput( # +1 for n

get_fake_maskformer_outputs

jax/_src/numpy/linalg.py

remove `_convert_element_type` from public `jax.lax` module

jax

Python

linalg.py

def _promote_arg_dtypes(*args): dtype, weak_type = dtypes._lattice_result_type(*args) if not jnp.issubdtype(dtype, jnp.inexact): dtype, weak_type = jnp.float_, False dtype = dtypes.canonicalize_dtype(dtype) args = [lax_internal._convert_element_type(arg, dtype, weak_type) for arg in args] if len(args) == 1: return args[0] else: return args @_wraps(np.linalg.cholesky) @jit

8f93629e8780148511ad60d3f7e034ebf4319d9b

@_wraps(np.linalg.cholesky) @jit

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

def _promote_arg_dtypes(*args): dtype, weak_type = dtypes._lattice_result_type(*args) if not jnp.issubdtype(dtype, jnp.inexact): dtype, weak_type = jnp.float_, False dtype = dtypes.canonicalize_dtype(dtype) args = [lax_internal._convert_element_type(arg, dtype, weak_type)

_promote_arg_dtypes

bootloader/waflib/Tools/c_config.py

Bootloader: Building: Unpack waf's lib archive. Doing so makes it easier to modify. This is a temporary measure until the next waf version is released (although I'm tempted to keep it since it's much more IDE completion friendly).

pyinstaller

Python

c_config.py

def check(self, *k, **kw): self.validate_c(kw) self.start_msg(kw['msg'], **kw) ret = None try: ret = self.run_build(*k, **kw) except self.errors.ConfigurationError: self.end_msg(kw['errmsg'], 'YELLOW', **kw) if Logs.verbose > 1: raise else: self.fatal('The configuration failed') else: kw['success'] = ret ret = self.post_check(*k, **kw) if not ret: self.end_msg(kw['errmsg'], 'YELLOW', **kw) self.fatal('The configuration failed %r' % ret) else: self.end_msg(self.ret_msg(kw['okmsg'], kw), **kw) return ret

64ccb7aea824fbec57f7ed1bbe483ec486183c13

https://github.com/pyinstaller/pyinstaller.git

def check(self, *k, **kw): self.validate_c(kw) self.start_msg(kw['msg'], **kw) ret = None try: ret = self.run_build(*k, **kw) except self.errors.ConfigurationError: self.end_msg(kw['errmsg'], 'YELLOW', **kw) if Logs.verbose > 1: raise else: self.fatal('The configuration failed') else:

check

tests/openbb_terminal/test_keys_controller.py

openbb_terminal tests: coverage (61% -> 65%) (#1664) * Attempting more tests * Began adding tests * Added keys controller tests * Added tests for settings and econometrics controller * Prevented tests from changing .env files * Fixed issues with tests * Added econometrics tests * fixed pylint issues * Added folder * Added QA tests * Fixed qa tests * Fixed qa tests * Fixed tests * Removed skip * Added mock to tests * Update helper_funcs.py Fix any windows path issues * Update helper_funcs.py oops forgot import lol * Skipped display_hist * expanded tests * Maybe mocked matplotlib everywhere Co-authored-by: teh_coderer <me@tehcoderer.com>

OpenBBTerminal

Python

test_keys_controller.py

def test_call_bitquery(other): controller.call_bitquery(other) @pytest.mark.parametrize("other", [[], ["-k", "1234"], ["1234"]])

8994168e45c91698e4fd20c862e11c9b55e0d03b

@pytest.mark.parametrize("other", [[], ["-k", "1234"], ["1234"]])

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

def test_call_bitquery(other): controller.call_bitquery(other) @pytest.mark.parametr

test_call_bitquery

src/datasets/features/features.py

Clean up remaining Main Classes docstrings (#5349) clean up docstrings

datasets

Python

features.py

def encode_example(self, example): example = cast_to_python_objects(example) return encode_nested_example(self, example)

c78559cacbb0ca6e0bc8bfc313cc0359f8c23ead

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

def encode_example(self, example): example = cast_to_python_objects(example) return encode_nested_

encode_example

tests/admin_views/tests.py

Refs #33476 -- Reformatted code with Black.

django

Python

tests.py

def test_basic_edit_GET(self): response = self.client.get( reverse("admin:admin_views_section_change", args=(self.s1.pk,)) ) self.assertIsInstance(response, TemplateResponse) self.assertEqual(response.status_code, 200)

9c19aff7c7561e3a82978a272ecdaad40dda5c00

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

def test_basic_edit_GET(self): response = self.client.get( reverse("admin:admin_views_section_change", args=(self.s1.pk,)) ) self.assertIsInstance(response, TemplateResponse) self.assertEqual(response

test_basic_edit_GET

modules/image/text_to_image/disco_diffusion_cnclip_vitb16/reverse_diffusion/model/transforms.py

add disco_diffusion_cnclip_vitb16 module

PaddleHub

Python

transforms.py

def _setup_angle(x, name, req_sizes=(2, )): if isinstance(x, numbers.Number): if x < 0: raise ValueError(f"If {name} is a single number, it must be positive.") x = [-x, x] else: _check_sequence_input(x, name, req_sizes) return [float(d) for d in x]

f4d6e64cdc132ae868699a0ba442f4ab1d304a14

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

def _setup_angle(x, name, req_sizes=(2, )): if isinstance(x, num

_setup_angle

homeassistant/components/yale_smart_alarm/lock.py

Code cleanup yale_smart_alarm (#67701)

core

Python

lock.py

async def async_lock(self, **kwargs) -> None: return await self.async_set_lock("locked", None)

1358aed01641292805c94e0d3c50ec097df86746

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

async def async_lock(self, **kwargs) -> None: return await self.as

async_lock

tests/acceptance/test_organization_group_index.py

feat(ui): Remove issues from issue stream when action taken (#31701) * feat(ui): Remove issues from issue stream when action taken Remove issues from the issue stream when an action like Resolve, Ignore, or Delete is taken on the issue. This will remove the issue from the stream and bring in an issue from the next page (if applicable) and will not refresh the page. FIXES WOR-1588 * refactor so resolved, ignored, and deleted issues are removed immediately * refactor marked reviewed group id removal * add acceptance tests

sentry

Python

test_organization_group_index.py

def test_resolve_issues_multi_projects(self, mock_now): mock_now.return_value = datetime.utcnow().replace(tzinfo=pytz.utc) self.create_issues() group1 = self.event_a.group with self.feature("organizations:global-views"): self.page.visit_issue_list(self.org.slug) self.page.wait_for_stream() self.page.select_issue(1) self.page.resolve_issues() group1.update(status=GroupStatus.RESOLVED) self.page.wait_for_issue_removal() groups = self.browser.elements('[data-test-id="event-issue-header"]') assert len(groups) == 1

36196bd7178783a0b78c8bda39b76e4fa6b1a5e6

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

def test_resolve_issues_multi_projects(self, mock_now): mock_now.return_value = datetime.utcnow().replace(tzinfo=pytz.utc) self.create_issues() group1 = self.event_a.group with self.feature("organizations:global-views"): self.page.visit_issue_list(self.org.slug) self.page.wait_for_stream() self.page.select_issue(1) self.page.resolve_issues() group1.update(status=GroupStatus.RESOLVED) self.page.wait_f

test_resolve_issues_multi_projects

gamestonk_terminal/portfolio/portfolio_analysis/yfinance_model.py

Step towards portfolio allocation analysis (#1134) * Making pa active + pa minor features Makes pa actice and adds country to the df. The groupby command also gets percents of holding allocation. It also fixes warnings and prepares for a later pr that I'm currently working on. * Fix linting * black linter * Fixes Should fix everything * Linting * Making pa controller to base class standard * Fix linting Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>

OpenBBTerminal

Python

yfinance_model.py

def get_country(ticker): country = "NA" data = yf.utils.get_json(f"https://finance.yahoo.com/quote/{ticker}") if "summaryProfile" in data: country = data["summaryProfile"]["country"] if country not in financedatabase_model.get_countries(): similar_cmd = difflib.get_close_matches( country, financedatabase_model.get_countries(), n=1, cutoff=0.7, ) if similar_cmd: country = similar_cmd[0] return country

f77ad02d24c0ecf515a9f42c128d0c3158cc7d27

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

def get_country(ticker): country = "NA" data = yf.utils.get_json(f"https://finance.yahoo.com/quote/{ticker}") if "summaryProfile" in data: country = data["summaryProfile"]["country"] if country not in financedatabase_model.get_countries(): similar_cmd = difflib.get_close_matches( country, financedatabase_model.get_cou

get_country

tests/test_css_parse.py

Separate parsing of scalar, number, duration

textual

Python

test_css_parse.py

def test_parse_offset_composite_rule(offset_x, parsed_x, offset_y, parsed_y): css = f stylesheet = Stylesheet() stylesheet.parse(css) styles = stylesheet.rules[0].styles assert len(stylesheet.rules) == 1 assert stylesheet.rules[0].errors == [] assert styles.offset.x == parsed_x assert styles.offset.y == parsed_y @pytest.mark.parametrize( "offset_x, parsed_x, offset_y, parsed_y", [ [ "-5.5%", Scalar(-5.5, Unit.PERCENT, Unit.WIDTH), "-30%", Scalar(-30, Unit.PERCENT, Unit.HEIGHT), ], [ "5%", Scalar(5, Unit.PERCENT, Unit.WIDTH), "40%", Scalar(40, Unit.PERCENT, Unit.HEIGHT), ], [ "10", Scalar(10, Unit.CELLS, Unit.WIDTH), "40", Scalar(40, Unit.CELLS, Unit.HEIGHT), ], ], )

fd47ef491b7700a4414d85bf573f1e719cfae555

@pytest.mark.parametrize( "offset_x, parsed_x, offset_y, parsed_y", [ [ "-5.5%", Scalar(-5.5, Unit.PERCENT, Unit.WIDTH), "-30%", Scalar(-30, Unit.PERCENT, Unit.HEIGHT), ], [ "5%", Scalar(5, Unit.PERCENT, Unit.WIDTH), "40%", Scalar(40, Unit.PERCENT, Unit.HEIGHT), ], [ "10", Scalar(10, Unit.CELLS, Unit.WIDTH), "40", Scalar(40, Unit.CELLS, Unit.HEIGHT), ], ], )

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

def test_parse_offset_composite_rule(offset_x, parsed_x, offset_y, parsed_y): css = f stylesheet = Stylesheet() stylesheet.parse(css) styles = stylesheet.rules[0].styles assert len(stylesheet.rules) == 1 assert stylesheet.rules[0].errors == [] assert styles.offset.x == parsed_x assert styles.offset.y == parsed_y @pytest.mark.parametrize( "offset_x, parsed_x, offset_y, parsed_y", [ [ "-5.5%", Scalar(-5.5, Unit.PERCENT, Unit.WIDTH), "-30%", Scalar(-30, Unit.PERCENT, Unit.HEIGHT), ], [ "5%", Scalar(5, Unit.PERCENT, Unit.WIDTH), "40%", Scalar(40, Unit.PERCENT, Unit.HEIGHT), ], [ "10", Scalar(10, Unit.CELLS, Unit.WIDTH), "40", Scalar(40, Unit.CELLS, Unit.HEIGHT), ]

test_parse_offset_composite_rule

haystack/modeling/model/adaptive_model.py

Pylint (import related warnings) and REST API improvements (#2326) * remove duplicate imports * fix ungrouped-imports * Fix wrong-import-position * Fix unused-import * pyproject.toml * Working on wrong-import-order * Solve wrong-import-order * fix Pool import * Move open_search_index_to_document_store and elasticsearch_index_to_document_store in elasticsearch.py * remove Converter from modeling * Fix mypy issues on adaptive_model.py * create es_converter.py * remove converter import * change import path in tests * Restructure REST API to not rely on global vars from search.apy and improve tests * Fix openapi generator * Move variable initialization * Change type of FilterRequest.filters Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

haystack

Python

adaptive_model.py

def convert_to_transformers(self): converted_models = [] # convert model for each prediction head for prediction_head in self.prediction_heads: if len(prediction_head.layer_dims) != 2: logger.error( f"Currently conversion only works for PredictionHeads that are a single layer Feed Forward NN with dimensions [LM_output_dim, number_classes].\n" f" Your PredictionHead has {str(prediction_head.layer_dims)} dimensions." ) continue if prediction_head.model_type == "span_classification": transformers_model = self._convert_to_transformers_qa(prediction_head) converted_models.append(transformers_model) else: logger.error( f"Haystack -> Transformers conversion is not supported yet for" f" prediction heads of type {prediction_head.model_type}" ) return converted_models

96a538b18238ce723208cd18a1c11034ee5a90d1

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

def convert_to_transformers(self): converted_models = [] # convert model for each prediction head for prediction_head in self.prediction_heads: if len(prediction_head.layer_dims) != 2: logger.error( f"Currently conversion only works for PredictionHeads that are a single layer Feed Forward NN with dimensions [LM_output_dim, number_classes].\n" f" Your PredictionHead has {str(prediction_head.layer_dims)} dimensions." ) continue if prediction_head.model_type == "span_classification": transformers_model = self._convert_to_transformers_qa(prediction_head) converted_models.appe

convert_to_transformers

sympy/printing/smtlib.py

Implement preliminary Sympy to SMT-Lib printer.

sympy

Python

smtlib.py

def emptyPrinter(self, expr): raise NotImplementedError(f'Cannot convert `{repr(expr)}` of type `{type(expr)}` to SMT.')

c41964db333afe27571ac399e823df29063d8c83

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

def emptyPrinter(self, expr): raise NotImplementedError(f'Cannot convert `{repr(expr)}` of type `{type

emptyPrinter

python3.10.4/Lib/_collections_abc.py

add python 3.10.4 for windows

XX-Net

Python

_collections_abc.py

def __le__(self, other): if not isinstance(other, Set): return NotImplemented if len(self) > len(other): return False for elem in self: if elem not in other: return False return True

8198943edd73a363c266633e1aa5b2a9e9c9f526

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

def __le__(self, other): if not isinstance(other, Set): return NotImplemented if len(self) > len(other):

__le__

src/textual/widget.py

button widget

textual

Python

widget.py

def render_styled(self) -> RenderableType: renderable = self.render() styles = self.styles parent_styles = self.parent.styles parent_text_style = self.parent.rich_text_style text_style = styles.rich_style content_align = (styles.content_align_horizontal, styles.content_align_vertical) if content_align != ("left", "top"): horizontal, vertical = content_align renderable = Align(renderable, horizontal, vertical=vertical) renderable_text_style = parent_text_style + text_style if renderable_text_style: renderable = Styled(renderable, renderable_text_style) renderable = Padding(renderable, styles.padding, style=renderable_text_style) if styles.border: renderable = Border( renderable, styles.border, inner_color=styles.background, outer_color=Color.from_rich_color(parent_text_style.bgcolor), ) if styles.outline: renderable = Border( renderable, styles.outline, inner_color=styles.background, outer_color=parent_styles.background, outline=True, ) if styles.opacity != 1.0: renderable = Opacity(renderable, opacity=styles.opacity) return renderable

44c1f2373aaa61c5262882a61064fa5c084ae21e

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

def render_styled(self) -> RenderableType: renderable = self.render() styles = self.styles parent_styles = self.parent.styles pare

render_styled

erpnext/patches/v13_0/shopping_cart_to_ecommerce.py

fix: remove stale doctypes and add msg for ecommerce refactor (#27700)

erpnext

Python

shopping_cart_to_ecommerce.py

def notify_users(): click.secho( "Shopping cart and Product settings are merged into E-commerce settings.\n" "Checkout the documentation to learn more:" "https://docs.erpnext.com/docs/v13/user/manual/en/e_commerce/set_up_e_commerce", fg="yellow", ) note = frappe.new_doc("Note") note.title = "New E-Commerce Module" note.public = 1 note.notify_on_login = 1 note.content = note.save()

bd3b47fd5081dc592850001ff077bffb0ed3fdb9

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

def notify_users(): click.secho( "Shopping cart and

notify_users

mitmproxy/proxy/mode_servers.py

add transparent server mode based on WireGuard (#5562) * add mode spec for WireGuard mode * add WireGuard server implementation * remove coverage excludes * simplify wireguard spec * lint! * remove superfluous tests * bump to mitmproxy_wireguard 0.1.1 * proxy/test_mode_specs: remove unused import * fix wireguard server mode * WireGuard: move keyfile gen into `.start()` This way any file format errors result in `.last_exception` being set. * fixup UDP support * bump to mitmproxy_wireguard v0.1.2 This release fixes TCP connections which were broken in v0.1.1. * fix crash handler * add simple test for WireGuard server instances * bump to mitmproxy_wireguard v0.1.5 and fix launching wg-test-client * fixups - monkeypatch `handle_client` instead of the handlers. - fix OS detection - ctx.log -> logging * nits * bump to mitmproxy_wireguard 0.1.6 for fixed test client * move WireGuardDatagramTransport into dedicated module this allows us to exclude it from individual coverage, which makes no sense. Also improve type checking to make sure that it's a full replacement. * cover WireGuardServerInstance.is_running property with tests * enable specialized server instance creation * test wireguard conf generation * deduplicate tcp/udp handlers * update CHANGELOG Co-authored-by: Maximilian Hils <git@maximilianhils.com>

mitmproxy

Python

mode_servers.py

def client_conf(self) -> str | None: if not self._server: return None host = local_ip.get_local_ip() or local_ip.get_local_ip6() port = self.mode.listen_port(ctx.options.listen_port) return textwrap.dedent(f).strip()

2d495c093c2e499f2510a3c6d66db7afed7394af

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

def client_conf(self) -> str | None: if not self._server: return None host = local_ip.get_local_ip() or local_ip.get_local_ip6() port = self.mode.listen_port(ctx.options.listen_port) return textwrap.dedent(f).strip()

client_conf

Tests/test_file_gif.py

Convert subsequent frames of L mode GIF to LA if transparency is present

Pillow

Python

test_file_gif.py

def test_l_mode_transparency(): with Image.open("Tests/images/no_palette_with_transparency.gif") as im: assert im.mode == "L" assert im.load()[0, 0] == 0 assert im.info["transparency"] == 255 im.seek(1) assert im.mode == "LA" assert im.load()[0, 0] == (0, 255)

5c6212052cc735b5aabc895bb18264143b8408c7

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

def test_l_mode_transparency(): with Imag

test_l_mode_transparency

torchvision/transforms/transforms.py

Added center arg to F.affine and RandomAffine ops (#5208) * Added center option to F.affine and RandomAffine ops * Updates according to the review

vision

Python

transforms.py

def forward(self, img): fill = self.fill if isinstance(img, Tensor): if isinstance(fill, (int, float)): fill = [float(fill)] * F.get_image_num_channels(img) else: fill = [float(f) for f in fill] img_size = F.get_image_size(img) ret = self.get_params(self.degrees, self.translate, self.scale, self.shear, img_size) return F.affine(img, *ret, interpolation=self.interpolation, fill=fill, center=self.center)

59c723cb45d0f8ab897cc7836d408e9fdde4b552

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

def forward(self, img): fill = self.fill if isinstance(img, Tensor): if isinstance(fill, (int, float)): fill = [float(fill)] * F.get_image_num_channels(img) else: fill = [float(f) for f in fill] img_size = F.get_image_size(img) ret = self.get_params(self.

forward

misc/tools/postprocess-vf.py

UPM 2048 and opsz axis (#462) - UPM is adjusted to 2048 - Additional opsz VF axis (multi master) added which will eventually replace the separate Display family - New tooling that uses fontmake instead of Inter's own fontbuild toolchain. (The old toolchain is still supported, i.e. `make -f Makefile_v1.make ...`)

inter

Python

postprocess-vf.py

def get_family_name(font): nameTable = font["name"] r = None for plat_id, enc_id, lang_id in (WINDOWS_ENGLISH_IDS, MAC_ROMAN_IDS): for name_id in (PREFERRED_FAMILY, LEGACY_FAMILY): r = nameTable.getName(nameID=name_id, platformID=plat_id, platEncID=enc_id, langID=lang_id) if r is not None: break if r is not None: break if not r: raise ValueError("family name not found") return r.toUnicode()

07960766590650e516a75ce6ceba91b68a5fa551

https://github.com/rsms/inter.git

def get_family_name(font): nameTable = font["name"] r = None for plat_id, enc_id, lang_id in (WINDOWS_ENGLISH_IDS

get_family_name

awx/main/tests/unit/test_capacity.py

Remove committed_capacity field, delete supporting code (#12086) * Remove committed_capacity field, delete supporting code * Track consumed capacity to solve the negatives problem * Use more verbose name for IG queryset

awx

Python

test_capacity.py

def test_RBAC_reduced_filter(sample_cluster, create_ig_manager): default, ig_large, ig_small = sample_cluster() tasks = [Job(status='waiting', execution_node='i1'), Job(status='waiting', execution_node='i2'), Job(status='waiting', execution_node='i3')] instance_groups_mgr = create_ig_manager([default], tasks) # Cross-links between groups not visible to current user, # so a naieve accounting of capacities is returned instead assert instance_groups_mgr.get_consumed_capacity('default') == 43

cb63d92bbf5d8e10834264f0eb8142c4eb5c9161

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

def test_RBAC_reduced_filter(sample_cluster, create_ig_manager): default, ig_large, ig_small = sample_cluster() tasks = [Job(status='waiting', execution_node='i1'), Job(status='waiting', execution_node='i2'), Job(status='waiting', execution_node='i3')] instance_groups_mgr = create_ig_manager([default], tasks) # Cross-links betwee

test_RBAC_reduced_filter

flair/embeddings/token.py

finalize token embeddings

flair

Python

token.py

def __getstate__(self): state = self.__dict__.copy() # save the sentence piece model as binary file (not as path which may change) state["spm_model_binary"] = open(self.model_file, mode="rb").read() state["spm"] = None return state

1de7ddaf9cbfc3db7b043c532e6b8ec63807de1c

https://github.com/flairNLP/flair.git

def __getstate__(self): state = self.__dict__.copy()

__getstate__

tests/openbb_terminal/cryptocurrency/test_cryptocurrency_helpers.py

refactoring load, changed chart to candle (#1838) * refactoring load, changed chart to candle * updating load * refactor done, missing tests * fixed chart * refactor * linting * tests failing * fix minh issues * auto completion for load * linting * Tests : cryptocurrency/controller ; remove mocking of functions which are not used anymore * Cryptocurrency/Controller : call_headlines ; fix bug * Tests : cryptocurrency/controller ; mock function * Tests : cryptocurrency/due_diligence ; fix expected output * cryptocurrency/due_diligence ; mock functions Co-authored-by: Chavithra <chavithra@gmail.com> Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com> Co-authored-by: James Maslek <jmaslek11@gmail.com>

OpenBBTerminal

Python

test_cryptocurrency_helpers.py

def test_load_none(coin, vs): df = load(symbol_search=coin, vs=vs) assert df is not None @pytest.fixture(name="get_bitcoin")

0e03b9e9e41aaa61cdec5d674a9f2c64ab8d3394

@pytest.fixture(name="get_bitcoin")

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

def test_load_none(coin, vs): df = load(symbol_se

test_load_none