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259,364 | 62 | 15 | 19 | 288 | 20 | 0 | 96 | 347 | _make_estimator | API Deprecate max_feature=`auto` for tree classes (#22476)
Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Jérémie du Boisberranger <[email protected]> | https://github.com/scikit-learn/scikit-learn.git | def _make_estimator(self, append=True, random_state=None):
estimator = clone(self.base_estimator_)
estimator.set_params(**{p: getattr(self, p) for p in self.estimator_params})
# TODO: Remove in v1.2
# criterion "mse" and "mae" would cause warnings in every call to
# DecisionTreeRegressor.fit(..)
if isinstance(estimator, (DecisionTreeRegressor, ExtraTreeRegressor)):
if getattr(estimator, "criterion", None) == "mse":
estimator.set_params(criterion="squared_error")
elif getattr(estimator, "criterion", None) == "mae":
estimator.set_params(criterion="absolute_error")
# TODO(1.3): Remove
# max_features = 'auto' would cause warnings in every call to
# Tree.fit(..)
if isinstance(estimator, BaseDecisionTree):
if getattr(estimator, "max_features", None) == "auto":
if isinstance(estimator, DecisionTreeClassifier):
estimator.set_params(max_features="sqrt")
elif isinstance(estimator, DecisionTreeRegressor):
estimator.set_params(max_features=1.0)
if random_state is not None:
_set_random_states(estimator, random_state)
if append:
self.estimators_.append(estimator)
return estimator
| 175 | _base.py | Python | sklearn/ensemble/_base.py | e5736afb316038c43301d2c53ce39f9a89b64495 | scikit-learn | 11 |
|
28,221 | 2 | 6 | 9 | 12 | 1 | 0 | 2 | 5 | test_flat_concat_drop_exceeding_count_no_silently_fail | Limit the maximum number of search vectors to generate per index (#10284)
This fixes a crash when multiple thousand values are to be indexed due to PostgreSQL rejecting the statement. Such crash would look like this:
```
django.db.utils.OperationalError: stack depth limit exceeded
HINT: Increase the configuration parameter "max_stack_depth" (currently 2048kB), after ensuring the platform's stack depth limit is adequate.
``` | https://github.com/saleor/saleor.git | def test_flat_concat_drop_exceeding_count_no_silently_fail():
| 85 | test_postgresql_search.py | Python | saleor/core/tests/test_postgresql_search.py | e5873b338db3a24afee0a7ae7bd7fffe09397ee4 | saleor | 1 |
|
51,540 | 25 | 14 | 11 | 138 | 17 | 0 | 33 | 102 | postprocess | update efficientnetb0_imagenet (#2041)
* update efficientnetb0_imagenet
* remove unused print | https://github.com/PaddlePaddle/PaddleHub.git | def postprocess(data_out, label_list, top_k):
output = []
for result in data_out:
result_i = softmax(result)
output_i = {}
indexs = np.argsort(result_i)[::-1][0:top_k]
for index in indexs:
label = label_list[index].split(',')[0]
output_i[label] = float(result_i[index])
output.append(output_i)
return output
| 86 | processor.py | Python | modules/image/classification/efficientnetb0_imagenet/processor.py | 7cd67aba38c19a835c3229d9b4be21798c5c8673 | PaddleHub | 3 |
|
259,004 | 175 | 16 | 68 | 694 | 53 | 0 | 329 | 1,288 | fit | ENH Allow prefit in stacking (#22215)
Co-authored-by: Thomas J. Fan <[email protected]>
Co-authored-by: Guillaume Lemaitre <[email protected]>
Co-authored-by: Siqi He <[email protected]> | https://github.com/scikit-learn/scikit-learn.git | def fit(self, X, y, sample_weight=None):
# all_estimators contains all estimators, the one to be fitted and the
# 'drop' string.
names, all_estimators = self._validate_estimators()
self._validate_final_estimator()
stack_method = [self.stack_method] * len(all_estimators)
if self.cv == "prefit":
self.estimators_ = []
for estimator in all_estimators:
if estimator != "drop":
check_is_fitted(estimator)
self.estimators_.append(estimator)
else:
# Fit the base estimators on the whole training data. Those
# base estimators will be used in transform, predict, and
# predict_proba. They are exposed publicly.
self.estimators_ = Parallel(n_jobs=self.n_jobs)(
delayed(_fit_single_estimator)(clone(est), X, y, sample_weight)
for est in all_estimators
if est != "drop"
)
self.named_estimators_ = Bunch()
est_fitted_idx = 0
for name_est, org_est in zip(names, all_estimators):
if org_est != "drop":
current_estimator = self.estimators_[est_fitted_idx]
self.named_estimators_[name_est] = current_estimator
est_fitted_idx += 1
if hasattr(current_estimator, "feature_names_in_"):
self.feature_names_in_ = current_estimator.feature_names_in_
else:
self.named_estimators_[name_est] = "drop"
self.stack_method_ = [
self._method_name(name, est, meth)
for name, est, meth in zip(names, all_estimators, stack_method)
]
if self.cv == "prefit":
# Generate predictions from prefit models
predictions = [
getattr(estimator, predict_method)(X)
for estimator, predict_method in zip(all_estimators, self.stack_method_)
if estimator != "drop"
]
else:
# To train the meta-classifier using the most data as possible, we use
# a cross-validation to obtain the output of the stacked estimators.
# To ensure that the data provided to each estimator are the same,
# we need to set the random state of the cv if there is one and we
# need to take a copy.
cv = check_cv(self.cv, y=y, classifier=is_classifier(self))
if hasattr(cv, "random_state") and cv.random_state is None:
cv.random_state = np.random.RandomState()
fit_params = (
{"sample_weight": sample_weight} if sample_weight is not None else None
)
predictions = Parallel(n_jobs=self.n_jobs)(
delayed(cross_val_predict)(
clone(est),
X,
y,
cv=deepcopy(cv),
method=meth,
n_jobs=self.n_jobs,
fit_params=fit_params,
verbose=self.verbose,
)
for est, meth in zip(all_estimators, self.stack_method_)
if est != "drop"
)
# Only not None or not 'drop' estimators will be used in transform.
# Remove the None from the method as well.
self.stack_method_ = [
meth
for (meth, est) in zip(self.stack_method_, all_estimators)
if est != "drop"
]
X_meta = self._concatenate_predictions(X, predictions)
_fit_single_estimator(
self.final_estimator_, X_meta, y, sample_weight=sample_weight
)
return self
| 439 | _stacking.py | Python | sklearn/ensemble/_stacking.py | 691972a7cf04e7a8918b907556b4e9904f82bd0c | scikit-learn | 20 |
|
31,489 | 19 | 12 | 9 | 61 | 7 | 0 | 22 | 80 | unk_token | Fix properties of unset special tokens in non verbose mode (#17797)
Co-authored-by: SaulLu <[email protected]> | https://github.com/huggingface/transformers.git | def unk_token(self) -> str:
if self._unk_token is None:
if self.verbose:
logger.error("Using unk_token, but it is not set yet.")
return None
return str(self._unk_token)
| 35 | tokenization_utils_base.py | Python | src/transformers/tokenization_utils_base.py | 3eed5530ec74bb60ad9f8f612717d0f6ccf820f2 | transformers | 3 |
|
278,518 | 15 | 13 | 10 | 102 | 14 | 0 | 21 | 98 | distributions_and_v1_optimizers | let the linter ignore certain lines, prepare to enforce line length | https://github.com/keras-team/keras.git | def distributions_and_v1_optimizers():
return tf.__internal__.test.combinations.combine(
distribution=[
tf.__internal__.distribute.combinations.one_device_strategy,
tf.__internal__.distribute.combinations.mirrored_strategy_with_gpu_and_cpu, # noqa: E501
tf.__internal__.distribute.combinations.mirrored_strategy_with_two_gpus, # noqa: E501
tf.__internal__.distribute.combinations.mirrored_strategy_with_two_gpus_no_merge_call, # noqa: E501
],
optimizer_fn=optimizers_v1,
)
| 66 | optimizer_combinations.py | Python | keras/distribute/optimizer_combinations.py | 7c46f914413fafe472e0c577ecb10e310543cd50 | keras | 1 |
|
296,195 | 20 | 9 | 8 | 88 | 12 | 0 | 24 | 81 | frontend_stream_type | Replace Camera STREAM_ constants with StreamType enum (#69871) | https://github.com/home-assistant/core.git | def frontend_stream_type(self) -> StreamType | None:
if CameraLiveStreamTrait.NAME not in self._device.traits:
return None
trait = self._device.traits[CameraLiveStreamTrait.NAME]
if StreamingProtocol.WEB_RTC in trait.supported_protocols:
return StreamType.WEB_RTC
return super().frontend_stream_type
| 55 | camera_sdm.py | Python | homeassistant/components/nest/camera_sdm.py | c93c7e8eff466624aa492011f157e64e50fed728 | core | 3 |
|
140,169 | 11 | 9 | 10 | 50 | 9 | 0 | 11 | 43 | _execute_impl | [Serve][Deployment Graph][Perf] Add minimal executor DAGNode (#24754)
closes #24475
Current deployment graph has big perf issues compare with using plain deployment handle, mostly because overhead of DAGNode traversal mechanism. We need this mechanism to empower DAG API, specially deeply nested objects in args where we rely on pickling; But meanwhile the nature of each execution becomes re-creating and replacing every `DAGNode` instances involved upon each execution, that incurs overhead.
Some overhead is inevitable due to pickling and executing DAGNode python code, but they could be quite minimal. As I profiled earlier, pickling itself is quite fast for our benchmarks at magnitude of microseconds.
Meanwhile the elephant in the room is DeploymentNode and its relatives are doing too much work in constructor that's beyond necessary, thus slowing everything down. So the fix is as simple as
1) Introduce a new set of executor dag node types that contains absolute minimal information that only preserves the DAG structure with traversal mechanism, and ability to call relevant deployment handles.
2) Add a simple new pass in our build() that generates and replaces nodes with executor dag to produce a final executor dag to run the graph.
Current ray dag -> serve dag mixed a lot of stuff related to deployment generation and init args, in longer term we should remove them but our correctness depends on it so i rather leave it as separate PR.
### Current 10 node chain with deployment graph `.bind()`
```
chain_length: 10, num_clients: 1
latency_mean_ms: 41.05, latency_std_ms: 15.18
throughput_mean_tps: 27.5, throughput_std_tps: 3.2
```
### Using raw deployment handle without dag overhead
```
chain_length: 10, num_clients: 1
latency_mean_ms: 20.39, latency_std_ms: 4.57
throughput_mean_tps: 51.9, throughput_std_tps: 1.04
```
### After this PR:
```
chain_length: 10, num_clients: 1
latency_mean_ms: 20.35, latency_std_ms: 0.87
throughput_mean_tps: 48.4, throughput_std_tps: 1.43
``` | https://github.com/ray-project/ray.git | def _execute_impl(self, *args, **kwargs) -> ObjectRef:
return self._deployment_function_handle.remote(
*self._bound_args, **self._bound_kwargs
)
| 31 | deployment_function_executor_node.py | Python | python/ray/serve/deployment_function_executor_node.py | f27e85cd7df5ca2873ef6231200a1530e16ac35d | ray | 1 |
|
37,288 | 6 | 6 | 8 | 22 | 5 | 0 | 6 | 20 | default_num_choices | Add onnx export of models with a multiple choice classification head (#16758)
* Add export of models with a multiple-choice classification head | https://github.com/huggingface/transformers.git | def default_num_choices(self) -> int:
return OnnxConfig.default_fixed_num_choices
| 12 | config.py | Python | src/transformers/onnx/config.py | 77de8d6c31dbf756e7b2495e272efc0b92927fc3 | transformers | 1 |
|
100,394 | 31 | 13 | 14 | 193 | 16 | 0 | 43 | 161 | compile_timelapse_sample | Update code to support Tensorflow versions up to 2.8 (#1213)
* Update maximum tf version in setup + requirements
* - bump max version of tf version in launcher
- standardise tf version check
* update keras get_custom_objects for tf>2.6
* bugfix: force black text in GUI file dialogs (linux)
* dssim loss - Move to stock tf.ssim function
* Update optimizer imports for compatibility
* fix logging for tf2.8
* Fix GUI graphing for TF2.8
* update tests
* bump requirements.txt versions
* Remove limit on nvidia-ml-py
* Graphing bugfixes
- Prevent live graph from displaying if data not yet available
* bugfix: Live graph. Collect loss labels correctly
* fix: live graph - swallow inconsistent loss errors
* Bugfix: Prevent live graph from clearing during training
* Fix graphing for AMD | https://github.com/deepfakes/faceswap.git | def compile_timelapse_sample(self):
batchsizes = []
samples = {}
images = {}
masks = {}
for side in ("a", "b"):
batch = next(self._display_feeds["timelapse"][side])
batchsizes.append(len(batch["samples"]))
samples[side] = batch["samples"]
images[side] = batch["targets"][-1]
masks[side] = batch["masks"]
batchsize = min(batchsizes)
sample = self.compile_sample(batchsize, samples=samples, images=images, masks=masks)
return sample
| 116 | _base.py | Python | plugins/train/trainer/_base.py | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | faceswap | 2 |
|
181,873 | 27 | 15 | 11 | 152 | 17 | 0 | 33 | 110 | auto_select_categorical_features | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | https://github.com/EpistasisLab/tpot.git | def auto_select_categorical_features(X, threshold=10):
feature_mask = []
for column in range(X.shape[1]):
if sparse.issparse(X):
indptr_start = X.indptr[column]
indptr_end = X.indptr[column + 1]
unique = np.unique(X.data[indptr_start:indptr_end])
else:
unique = np.unique(X[:, column])
feature_mask.append(len(unique) <= threshold)
return feature_mask
| 96 | one_hot_encoder.py | Python | tpot/builtins/one_hot_encoder.py | 388616b6247ca4ea8de4e2f340d6206aee523541 | tpot | 3 |
|
90,226 | 47 | 14 | 15 | 144 | 24 | 0 | 66 | 249 | auto_add_recovery_codes | ref(hybrid-cloud): Additional test annotations: auth_index (#42425)
Extends the hybrid cloud auth service to be usable in many more places (
TY @corps)
Annotate 30+ more api endpoint tests
Co-authored-by: Mike Ihbe <[email protected]>
Co-authored-by: Zachary Collins <[email protected]>
Co-authored-by: Zach Collins <[email protected]> | https://github.com/getsentry/sentry.git | def auto_add_recovery_codes(self, user, force=False):
from sentry.auth.authenticators.recovery_code import RecoveryCodeInterface
has_authenticators = False
# If we're not forcing, check for a backup interface already setup
# or if it's missing, we'll need to set it.
if not force:
for authenticator in Authenticator.objects.filter(
user_id=user.id, type__in=[a.type for a in available_authenticators()]
):
iface = authenticator.interface
if iface.is_backup_interface:
return
has_authenticators = True
if has_authenticators or force:
interface = RecoveryCodeInterface()
interface.enroll(user)
return interface
| 91 | authenticator.py | Python | src/sentry/models/authenticator.py | 17644550024d6a2eb01356ee48ec0d3ef95c043d | sentry | 7 |
|
169,356 | 18 | 8 | 5 | 33 | 6 | 0 | 21 | 51 | size | TYP: Fix typing errors caused by new numpy (#48850) | https://github.com/pandas-dev/pandas.git | def size(self) -> int:
# error: Incompatible return value type (got "signedinteger[_64Bit]",
# expected "int") [return-value]
return np.prod(self.shape) # type: ignore[return-value]
| 17 | base.py | Python | pandas/core/arrays/base.py | 336896907748389e2cd0d57504508475d425348e | pandas | 1 |
|
38,881 | 97 | 20 | 47 | 638 | 36 | 0 | 163 | 1,029 | test_batch_encode_dynamic_overflowing | Add LayoutLMv3 (#17060)
* Make forward pass work
* More improvements
* Remove unused imports
* Remove timm dependency
* Improve loss calculation of token classifier
* Fix most tests
* Add docs
* Add model integration test
* Make all tests pass
* Add LayoutLMv3FeatureExtractor
* Improve integration test + make fixup
* Add example script
* Fix style
* Add LayoutLMv3Processor
* Fix style
* Add option to add visual labels
* Make more tokenizer tests pass
* Fix more tests
* Make more tests pass
* Fix bug and improve docs
* Fix import of processors
* Improve docstrings
* Fix toctree and improve docs
* Fix auto tokenizer
* Move tests to model folder
* Move tests to model folder
* change default behavior add_prefix_space
* add prefix space for fast
* add_prefix_spcae set to True for Fast
* no space before `unique_no_split` token
* add test to hightligh special treatment of added tokens
* fix `test_batch_encode_dynamic_overflowing` by building a long enough example
* fix `test_full_tokenizer` with add_prefix_token
* Fix tokenizer integration test
* Make the code more readable
* Add tests for LayoutLMv3Processor
* Fix style
* Add model to README and update init
* Apply suggestions from code review
* Replace asserts by value errors
* Add suggestion by @ducviet00
* Add model to doc tests
* Simplify script
* Improve README
* a step ahead to fix
* Update pair_input_test
* Make all tokenizer tests pass - phew
* Make style
* Add LayoutLMv3 to CI job
* Fix auto mapping
* Fix CI job name
* Make all processor tests pass
* Make tests of LayoutLMv2 and LayoutXLM consistent
* Add copied from statements to fast tokenizer
* Add copied from statements to slow tokenizer
* Remove add_visual_labels attribute
* Fix tests
* Add link to notebooks
* Improve docs of LayoutLMv3Processor
* Fix reference to section
Co-authored-by: SaulLu <[email protected]>
Co-authored-by: Niels Rogge <[email protected]> | https://github.com/huggingface/transformers.git | def test_batch_encode_dynamic_overflowing(self):
for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
tokenizer = self.rust_tokenizer_class.from_pretrained(pretrained_name, **kwargs)
with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name}, {tokenizer.__class__.__name__})"):
if is_torch_available():
returned_tensor = "pt"
elif is_tf_available():
returned_tensor = "tf"
else:
returned_tensor = "jax"
# Single example
words = ["HuggingFace", "is", "solving", "NLP", "one", "commit", "at", "a", "time"]
boxes = [[i, i, i, i] for i in range(len(words))]
tokens = tokenizer.encode_plus(
words,
boxes=boxes,
max_length=6,
padding=True,
truncation=True,
return_tensors=returned_tensor,
return_overflowing_tokens=True,
)
for key in filter(lambda x: "overflow_to_sample_mapping" not in x, tokens.keys()):
if key != "bbox":
self.assertEqual(len(tokens[key].shape), 2)
else:
self.assertEqual(len(tokens[key].shape), 3)
# Batch of examples
# For these 2 examples, 3 training examples will be created
words_batched = [
["HuggingFace", "is", "solving", "NLP", "one", "commit", "at", "a", "time"],
["Very", "tiny", "input"],
]
boxes_batched = [[[i, i, i, i] for i in range(len(words_item))] for words_item in words_batched]
tokens = tokenizer.batch_encode_plus(
words_batched,
boxes=boxes_batched,
max_length=6,
padding=True,
truncation="only_first",
return_tensors=returned_tensor,
return_overflowing_tokens=True,
)
for key in filter(lambda x: "overflow_to_sample_mapping" not in x, tokens.keys()):
if key != "bbox":
self.assertEqual(len(tokens[key].shape), 2)
self.assertEqual(tokens[key].shape[-1], 6)
else:
self.assertEqual(len(tokens[key].shape), 3)
self.assertEqual(tokens[key].shape[-1], 4)
| 383 | test_tokenization_layoutlmv3.py | Python | tests/models/layoutlmv3/test_tokenization_layoutlmv3.py | 31ee80d55673f32c0f5d50936f371e661b74b21a | transformers | 11 |
|
149,955 | 37 | 18 | 12 | 214 | 21 | 0 | 47 | 209 | create_follower_dict | rehaul of backend data management - increasing performance by holding history in memory, reducing load on the ratelimit by only pinging exchange once per candle. Improve code readability. | https://github.com/freqtrade/freqtrade.git | def create_follower_dict(self):
follower_name = self.config.get('bot_name', 'follower1')
whitelist_pairs = self.config.get('exchange', {}).get('pair_whitelist')
exists = Path(self.full_path / str('follower_dictionary-' +
follower_name + '.json')).resolve().exists()
if exists:
logger.info('Found an existing follower dictionary')
for pair in whitelist_pairs:
self.follower_dict[pair] = {}
with open(self.full_path / str('follower_dictionary-' +
follower_name + '.json'), "w") as fp:
json.dump(self.follower_dict, fp, default=self.np_encoder)
| 121 | data_drawer.py | Python | freqtrade/freqai/data_drawer.py | 16b4a5b71ff140f5de31e5d5572f1f193457cf6b | freqtrade | 3 |
|
158,217 | 18 | 14 | 5 | 91 | 7 | 0 | 25 | 47 | voc_label_indices | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: （“bert.mall”）->（“bert.small”） (#1129)
* line 313: "bert.mall" -> "bert.small" (#1130)
* fix: update language as native reader (#1114)
* Fix the translation of "stride" (#1115)
* Update index.md (#1118)
修改部分语义表述
* Update self-attention-and-positional-encoding.md (#1133)
依照本书的翻译习惯，将pooling翻译成汇聚
* maybe a comment false (#1149)
* maybe a little false
* maybe a little false
* A minor bug in the rcnn section (Chinese edition) (#1148)
* Update bert.md (#1137)
一个笔误
# 假设batch_size=2，num_pred_positions=3
# 那么batch_idx应该是np.repeat( [0,1], 3 ) = [0,0,0,1,1,1]
* Update calculus.md (#1135)
* fix typo in git documentation (#1106)
* fix: Update the Chinese translation in lr-scheduler.md (#1136)
* Update lr-scheduler.md
* Update chapter_optimization/lr-scheduler.md
Co-authored-by: goldmermaid <[email protected]>
Co-authored-by: goldmermaid <[email protected]>
* fix translation for kaggle-house-price.md (#1107)
* fix translation for kaggle-house-price.md
* fix translation for kaggle-house-price.md
Signed-off-by: sunhaizhou <[email protected]>
* Update weight-decay.md (#1150)
* Update weight-decay.md
关于“k多选d”这一部分，中文读者使用排列组合的方式可能更容易理解
关于“给定k个变量，阶数的个数为...”这句话是有歧义的，不是很像中国话，应该是说“阶数为d的项的个数为...”。
并增加了一句对“因此即使是阶数上的微小变化，比如从$2$到$3$，也会显著增加我们模型的复杂性。”的解释
解释为何会增加复杂性以及为何需要细粒度工具。
* Update chapter_multilayer-perceptrons/weight-decay.md
yep
Co-authored-by: goldmermaid <[email protected]>
* Update chapter_multilayer-perceptrons/weight-decay.md
yep
Co-authored-by: goldmermaid <[email protected]>
Co-authored-by: goldmermaid <[email protected]>
* Fix a spelling error (#1161)
* Update gru.md (#1152)
The key distinction between vanilla RNNs and GRUs is that the latter support gating of the hidden state.
翻译错误
* Unify the function naming (#1113)
Unify naming of the function 'init_xavier()'.
* Update mlp-concise.md (#1166)
* Update mlp-concise.md
语句不通顺
* Update environment.md
语序异常
* Update config.ini
* fix the imprecise description (#1168)
Co-authored-by: yuande <yuande>
* fix typo in chapter_natural-language-processing-pretraining/glove.md (#1175)
* Fix some typos. (#1163)
* Update batch-norm.md (#1170)
fixing typos u->x in article
* Update linear-regression.md (#1090)
We invoke Stuart Russell and Peter Norvig who, in their classic AI text book Artificial Intelligence: A Modern Approach :cite:Russell.Norvig.2016, pointed out that
原译文把who也直接翻译出来了。
* Update mlp.md (#1117)
* Update mlp.md
修改部分语义表述
* Update chapter_multilayer-perceptrons/mlp.md
Co-authored-by: goldmermaid <[email protected]>
* Update chapter_multilayer-perceptrons/mlp.md
Co-authored-by: Aston Zhang <[email protected]>
Co-authored-by: goldmermaid <[email protected]>
* Correct a translation error. (#1091)
* Correct a translation error.
* Update chapter_computer-vision/image-augmentation.md
Co-authored-by: Aston Zhang <[email protected]>
* Update aws.md (#1121)
* Update aws.md
* Update chapter_appendix-tools-for-deep-learning/aws.md
Co-authored-by: Aston Zhang <[email protected]>
* Update image-augmentation.md (#1093)
* Update anchor.md (#1088)
fix a minor issue in code
* Update anchor.md
* Update image-augmentation.md
* fix typo and improve translation in chapter_linear-networks\softmax-regression.md (#1087)
* Avoid `torch.meshgrid` user warning (#1174)
Avoids the following user warning:
```python
~/anaconda3/envs/torch/lib/python3.10/site-packages/torch/functional.py:568: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:2228.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
```
* bump to 2.0.0-beta1
* Update sequence.md
* bump beta1 on readme
* Add latex code block background to config
* BLD: Bump python support version 3.9 (#1183)
* BLD: Bump python support version 3.9
* Remove clear and manually downgrade protobuf 4.21.4 to 3.19.4
* BLD: Bump torch and tensorflow
* Update Jenkinsfile
* Update chapter_installation/index.md
* Update chapter_installation/index.md
Co-authored-by: Aston Zhang <[email protected]>
* Update config.ini
* Update INFO.md
* Update INFO.md
* Drop mint to show code in pdf, use Inconsolata font, apply code cell color (#1187)
* resolve the conflicts
* revise from publisher (#1089)
* revise from publisher
* d2l api
* post_latex
* revise from publisher
* revise ch11
* Delete d2l-Copy1.bib
* clear cache
* rm d2lbook clear
* debug anchor
* keep original d2l doc
Co-authored-by: Ubuntu <[email protected]>
Co-authored-by: Aston Zhang <[email protected]>
Co-authored-by: Aston Zhang <[email protected]>
* 重复语句 (#1188)
Co-authored-by: Aston Zhang <[email protected]>
* Improve expression for chapter_preliminaries/pandas.md (#1184)
* Update pandas.md
* Improve expression
* Improve expression
* Update chapter_preliminaries/pandas.md
Co-authored-by: Aston Zhang <[email protected]>
* Improce expression for chapter_preliminaries/linear-algebra.md (#1185)
* Improce expression
* Improve code comments
* Update chapter_preliminaries/linear-algebra.md
* Update chapter_preliminaries/linear-algebra.md
* Update chapter_preliminaries/linear-algebra.md
* Update chapter_preliminaries/linear-algebra.md
Co-authored-by: Aston Zhang <[email protected]>
* Fix multibox_detection bugs
* Update d2l to 0.17.5 version
* restore older version
* Upgrade pandas
* change to python3.8
* Test warning log
* relocate warning log
* test logs filtering
* Update gru.md
* Add DeprecationWarning filter
* Test warning log
* Update attention mechanisms & computational performance
* Update multilayer perceptron& linear & convolution networks & computer vision
* Update recurrent&optimition&nlp pretraining & nlp applications
* ignore warnings
* Update index.md
* Update linear networks
* Update multilayer perceptrons&deep learning computation
* Update preliminaries
* Check and Add warning filter
* Update kaggle-cifar10.md
* Update object-detection-dataset.md
* Update ssd.md fcn.md
* Update hybridize.md
* Update hybridize.md
Signed-off-by: sunhaizhou <[email protected]>
Co-authored-by: zhou201505013 <[email protected]>
Co-authored-by: Xinwei Liu <[email protected]>
Co-authored-by: Anirudh Dagar <[email protected]>
Co-authored-by: Aston Zhang <[email protected]>
Co-authored-by: hugo_han <[email protected]>
Co-authored-by: gyro永不抽风 <[email protected]>
Co-authored-by: CanChengZheng <[email protected]>
Co-authored-by: linlin <[email protected]>
Co-authored-by: iuk <[email protected]>
Co-authored-by: yoos <[email protected]>
Co-authored-by: Mr. Justice Lawrence John Wargrave <[email protected]>
Co-authored-by: Chiyuan Fu <[email protected]>
Co-authored-by: Sunhuashan <[email protected]>
Co-authored-by: Haiker Sun <[email protected]>
Co-authored-by: Ming Liu <[email protected]>
Co-authored-by: goldmermaid <[email protected]>
Co-authored-by: silenceZheng66 <[email protected]>
Co-authored-by: Wenchao Yan <[email protected]>
Co-authored-by: Kiki2049 <[email protected]>
Co-authored-by: Krahets <[email protected]>
Co-authored-by: friedmainfunction <[email protected]>
Co-authored-by: Jameson <[email protected]>
Co-authored-by: P. Yao <[email protected]>
Co-authored-by: Yulv-git <[email protected]>
Co-authored-by: Liu,Xiao <[email protected]>
Co-authored-by: YIN, Gang <[email protected]>
Co-authored-by: Joe-HZ <[email protected]>
Co-authored-by: lybloveyou <[email protected]>
Co-authored-by: VigourJiang <[email protected]>
Co-authored-by: zxhd863943427 <[email protected]>
Co-authored-by: LYF <[email protected]>
Co-authored-by: Aston Zhang <[email protected]>
Co-authored-by: xiaotinghe <[email protected]>
Co-authored-by: Ubuntu <[email protected]>
Co-authored-by: Holly-Max <[email protected]>
Co-authored-by: HinGwenWoong <[email protected]>
Co-authored-by: Shuai Zhang <[email protected]> | https://github.com/d2l-ai/d2l-zh.git | def voc_label_indices(colormap, colormap2label):
colormap = colormap.astype(np.int32)
idx = ((colormap[:, :, 0] * 256 + colormap[:, :, 1]) * 256
+ colormap[:, :, 2])
return colormap2label[idx]
| 59 | mxnet.py | Python | d2l/mxnet.py | b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | d2l-zh | 1 |
|
104,391 | 77 | 12 | 40 | 164 | 14 | 0 | 104 | 264 | subsplit | Update docs to new frontend/UI (#3690)
* WIP: update docs to new UI
* make style
* Rm unused
* inject_arrow_table_documentation __annotations__
* hasattr(arrow_table_method, "__annotations__")
* Update task_template.rst
* Codeblock PT-TF-SPLIT
* Convert loading scripts
* Convert docs to mdx
* Fix mdx
* Add <Tip>
* Convert mdx tables
* Fix codeblock
* Rm unneded hashlinks
* Update index.mdx
* Redo dev change
* Rm circle ci `build_doc` & `deploy_doc`
* Rm unneeded files
* Update docs reamde
* Standardize to `Example::`
* mdx logging levels doc
* Table properties inject_arrow_table_documentation
* ``` to ```py mdx
* Add Tips mdx
* important,None -> <Tip warning={true}>
* More misc
* Center imgs
* Update instllation page
* `setup.py` docs section
* Rm imgs since they are in hf.co
* Update docs/source/access.mdx
Co-authored-by: Steven Liu <[email protected]>
* Update index mdx
* Update docs/source/access.mdx
Co-authored-by: Steven Liu <[email protected]>
* just `Dataset` obj
* Addedversion just italics
* Update ReadInstruction doc example syntax
* Change docstring for `prepare_for_task`
* Chore
* Remove `code` syntax from headings
* Rm `code` syntax from headings
* Hashlink backward compatability
* S3FileSystem doc
* S3FileSystem doc updates
* index.mdx updates
* Add darkmode gifs
* Index logo img css classes
* Index mdx dataset logo img size
* Docs for DownloadMode class
* Doc DownloadMode table
* format docstrings
* style
* Add doc builder scripts (#3790)
* add doc builder scripts
* fix docker image
* Docs new UI actions no self hosted (#3793)
* No self hosted
* replace doc injection by actual docstrings
* Docstring formatted
Co-authored-by: Quentin Lhoest <[email protected]>
Co-authored-by: Mishig Davaadorj <[email protected]>
Co-authored-by: Lysandre Debut <[email protected]>
Co-authored-by: Mishig Davaadorj <[email protected]>
* Rm notebooks from docs actions since they dont exi
* Update tsting branch
* More docstring
* Chore
* bump up node version
* bump up node
* ``` -> ```py for audio_process.mdx
* Update .github/workflows/build_documentation.yml
Co-authored-by: Quentin Lhoest <[email protected]>
* Uodate dev doc build
* remove run on PR
* fix action
* Fix gh doc workflow
* forgot this change when merging master
* Update build doc
Co-authored-by: Steven Liu <[email protected]>
Co-authored-by: Quentin Lhoest <[email protected]>
Co-authored-by: Quentin Lhoest <[email protected]>
Co-authored-by: Lysandre Debut <[email protected]> | https://github.com/huggingface/datasets.git | def subsplit(self, arg=None, k=None, percent=None, weighted=None): # pylint: disable=redefined-outer-name
# Note that the percent kwargs redefine the outer name datasets.percent. This
# is done for consistency (.subsplit(percent=datasets.percent[:40]))
if sum(bool(x) for x in (arg, k, percent, weighted)) != 1:
raise ValueError("Only one argument of subsplit should be set.")
# Auto deduce k
if isinstance(arg, int):
k = arg
elif isinstance(arg, slice):
percent = arg
elif isinstance(arg, list):
weighted = arg
if not (k or percent or weighted):
raise ValueError(
f"Invalid split argument {arg}. Only list, slice and int supported. "
"One of k, weighted or percent should be set to a non empty value."
)
| 285 | splits.py | Python | src/datasets/splits.py | e35be138148333078284b942ccc9ed7b1d826f97 | datasets | 17 |
|
38,308 | 53 | 12 | 31 | 220 | 33 | 0 | 61 | 343 | test_xsum_summarization_same_as_fairseq | Black preview (#17217)
* Black preview
* Fixup too!
* Fix check copies
* Use the same version as the CI
* Bump black | https://github.com/huggingface/transformers.git | def test_xsum_summarization_same_as_fairseq(self):
model = BartForConditionalGeneration.from_pretrained("facebook/bart-large-xsum").to(torch_device)
tok = self.default_tokenizer
PGE_ARTICLE =
EXPECTED_SUMMARY = (
"California's largest power company has begun shutting off electricity to thousands of customers in the"
" state."
)
dct = tok.batch_encode_plus(
[PGE_ARTICLE],
max_length=1024,
padding="max_length",
truncation=True,
return_tensors="pt",
).to(torch_device)
hypotheses_batch = model.generate(
input_ids=dct["input_ids"],
attention_mask=dct["attention_mask"],
num_beams=2,
max_length=62,
min_length=11,
length_penalty=1.0,
no_repeat_ngram_size=3,
early_stopping=True,
decoder_start_token_id=model.config.eos_token_id,
)
decoded = tok.batch_decode(
hypotheses_batch,
skip_special_tokens=True,
)
self.assertEqual(EXPECTED_SUMMARY, decoded[0])
| 143 | test_modeling_bart.py | Python | tests/models/bart/test_modeling_bart.py | afe5d42d8d1d80af911ed980c2936bfe887078f6 | transformers | 1 |
|
47,646 | 60 | 15 | 35 | 383 | 40 | 0 | 85 | 430 | test_branch_list_with_dag_run | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | https://github.com/apache/airflow.git | def test_branch_list_with_dag_run(self, mock_get_db_hook):
branch_op = BranchSQLOperator(
task_id="make_choice",
conn_id="mysql_default",
sql="SELECT 1",
follow_task_ids_if_true=["branch_1", "branch_2"],
follow_task_ids_if_false="branch_3",
dag=self.dag,
)
self.branch_1.set_upstream(branch_op)
self.branch_2.set_upstream(branch_op)
self.branch_3 = EmptyOperator(task_id="branch_3", dag=self.dag)
self.branch_3.set_upstream(branch_op)
self.dag.clear()
dr = self.dag.create_dagrun(
run_id="manual__",
start_date=timezone.utcnow(),
execution_date=DEFAULT_DATE,
state=State.RUNNING,
)
mock_get_records = mock_get_db_hook.return_value.get_first
mock_get_records.return_value = [["1"]]
branch_op.run(start_date=DEFAULT_DATE, end_date=DEFAULT_DATE)
tis = dr.get_task_instances()
for ti in tis:
if ti.task_id == "make_choice":
assert ti.state == State.SUCCESS
elif ti.task_id == "branch_1":
assert ti.state == State.NONE
elif ti.task_id == "branch_2":
assert ti.state == State.NONE
elif ti.task_id == "branch_3":
assert ti.state == State.SKIPPED
else:
raise ValueError(f"Invalid task id {ti.task_id} found!")
| 229 | test_sql.py | Python | tests/operators/test_sql.py | 49e336ae0302b386a2f47269a6d13988382d975f | airflow | 6 |
|
320,768 | 4 | 9 | 2 | 30 | 4 | 0 | 4 | 18 | _model | mypy: Upgrade to PyQt5-stubs 5.15.6.0
For some unknown reason, those new stubs cause a *lot* of things now to be
checked by mypy which formerly probably got skipped due to Any being implied
somewhere.
The stubs themselves mainly improved, with a couple of regressions too.
In total, there were some 337 (!) new mypy errors. This commit fixes almost all
of them, and the next commit improves a fix to get things down to 0 errors
again.
Overview of the changes:
==== qutebrowser/app.py
- Drop type ignore due to improved stubs.
==== qutebrowser/browser/browsertab.py
- Specify the type of _widget members more closely than just QWidget.
This is debatable: I suppose the abstract stuff shouldn't need to know
anything about the concrete backends at all. But it seems like we cut some
corners when initially implementing things, and put some code in browsertab.py
just because the APIs of both backends happened to be compatible. Perhaps
something to reconsider once we drop QtWebKit and hopefully implement a dummy
backend.
- Add an additional assertion in AbstractAction.run_string. This is already
covered by the isinstance(member, self.action_base) above it, but that's too
dynamic for mypy to understand.
- Fix the return type of AbstractScroller.pos_px, which is a QPoint (with x
and y components), not a single int.
- Fix the return type of AbstractScroller.pos_perc, which is a Tuple (with x
and y components), not a single int.
- Fix the argument types of AbstractScroller.to_perc, as it's possible to pass
fractional percentages too.
- Specify the type for AbstractHistoryPrivate._history. See above (_widget) re
this being debatable.
- Fix the return type of AbstractTabPrivate.event_target(), which can be None
(see #3888).
- Fix the return type of AbstractTabPrivate.run_js_sync, which is Any (the JS
return value), not None.
- Fix the argument type for AbstractTabPrivate.toggle_inspector: position can
be None to use the last used position.
- Declare the type of sub-objects of AbstractTab.
- Fix the return value of AbstractTab.icon(), which is the QIcon, not None.
==== qutebrowser/browser/commands.py
- Make sure the active window is a MainWindow (with a .win_id attribute).
==== qutebrowser/browser/downloadview.py
- Add _model() which makes sure that self.model() is a DownloadModel, not None
or any other model. This is needed because other methods access a variety of
custom attributes on it, e.g. last_index().
==== qutebrowser/browser/greasemonkey.py
- Add an ignore for AbstractDownload.requested_url which we patch onto the
downloads. Probably would be nicer to add it as a proper attribute which always
gets set by the DownloadManager.
==== qutebrowser/browser/hints.py
- Remove type ignores for QUrl.toString().
- Add a new type ignore for combining different URL flags (which works, but is
not exactly type safe... still probably a regression in the stubs).
- Make sure the things we get back from self._get_keyparser are what we actually
expect. Probably should introduce a TypedDict (and/or overloads for
_get_keyparser with typing.Literal) to teach mypy about the exact return value.
See #7098.
This is needed because we access Hint/NormalKeyParser-specific attributes such
as .set_inhibited_timout() or .update_bindings().
==== qutebrowser/browser/inspector.py
- Similar changes than in browsertab.py to make some types where we share API
(e.g. .setPage()) more concrete. Didn't work out unfortunately, see next
commit.
==== qutebrowser/browser/network/pac.py
- Remove now unneeded type ignore for signal.
==== qutebrowser/browser/qtnetworkdownloads.py
- Make sure that downloads is a qtnetworkdownloads.DownloadItem (rather than an
AbstractDownload), so that we can call ._uses_nam() on it.
==== qutebrowser/browser/qutescheme.py
- Remove now unneeded type ignore for QUrl flags.
==== qutebrowser/browser/urlmarks.py
- Specify the type of UrlMarkManager._lineparser, as those only get initialized
in _init_lineparser of subclasses, so mypy doesn't know it's supposed to exist.
==== qutebrowser/browser/webelem.py
- New casts to turn single KeyboardModifier (enum) entries into
KeyboardModifiers (flags). Might not be needed anymore with Qt 6.
- With that, casting the final value is now unneeded.
==== qutebrowser/browser/webengine/notification.py
- Remove now unneeded type ignore for signal.
- Make sure the self.sender() we get in HerbeNotificationAdapter._on_finished()
is a QProcess, not just any QObject.
==== qutebrowser/browser/webengine/webenginedownloads.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/browser/webengine/webengineelem.py
- Specify the type of WebEngineElement._tab.
- Remove now unneeded type ignore for mixed flags.
==== qutebrowser/browser/webengine/webengineinspector.py
- See changes to inspector.py and next commit.
- Remove now unneeded type ignore for signal.
==== qutebrowser/browser/webengine/webenginequtescheme.py
- Remove now unneeded type ignore for mixed flags.
==== qutebrowser/browser/webengine/webenginesettings.py
- Ignore access of .setter attribute which we patch onto QWebEngineProfile.
Would be nice to have a subclass or wrapper-class instead.
==== qutebrowser/browser/webengine/webenginetab.py
- Specified the type of _widget members more closely than just QWidget.
See browsertab.py changes for details.
- Remove some now-unneeded type ignores for creating FindFlags.
- Specify more concrete types for WebEngineTab members where we actually need to
access WebEngine-specific attributes.
- Make sure the page we get is our custom WebEnginePage subclass, not just any
QWebEnginePage. This is needed because we access custom attributes on it.
==== qutebrowser/browser/webengine/webview.py
- Make sure the page we get is our custom WebEnginePage subclass, not just any
QWebEnginePage. This is needed because we access custom attributes on it.
==== qutebrowser/browser/webkit/network/networkreply.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/browser/webkit/webkitinspector.py
- See changes to inspector.py and next commit.
==== qutebrowser/browser/webkit/webkittab.py
- Specify the type of _widget members more closely than just QWidget.
See browsertab.py changes for details.
- Add a type ignore for WebKitAction because our workaround needs to
treat them as ints (which is allowed by PyQt, even if not type-safe).
- Add new ignores for findText calls: The text is a QString and can be None; the
flags are valid despite mypy thinking they aren't (stubs regression?).
- Specify the type for WebKitHistoryPrivate._history, because we access
WebKit-specific attributes. See above (_widget) re this being debatable.
- Make mypy aware that .currentFrame() and .frameAt() can return None (stubs
regression?).
- Make sure the .page() and .page().networkAccessManager() are our subclasses
rather than the more generic QtWebKit objects, as we use custom attributes.
- Add new type ignores for signals (stubs regression!)
==== qutebrowser/browser/webkit/webpage.py
- Make sure the .networkAccessManager() is our subclass rather than the more
generic QtWebKit object, as we use custom attributes.
- Replace a cast by a type ignore. The cast didn't work anymore.
==== qutebrowser/browser/webkit/webview.py
- Make sure the .page() is our subclass rather than the more generic QtWebKit
object, as we use custom attributes.
==== qutebrowser/commands/userscripts.py
- Remove now unneeded type ignore for signal.
==== qutebrowser/completion/completer.py
- Add a new _completion() getter (which ensures it actually gets the completion
view) rather than accessing the .parent() directly (which could be any QObject).
==== qutebrowser/completion/completiondelegate.py
- Make sure self.parent() is a CompletionView (no helper method as there is only
one instance).
- Remove a now-unneeded type ignore for adding QSizes.
==== qutebrowser/completion/completionwidget.py
- Add a ._model() getter which ensures that we get a CompletionModel (with
custom attributes) rather than Qt's .model() which can be any QAbstractItemModel
(or None).
- Removed a now-unneeded type ignore for OR-ing flags.
==== qutebrowser/completion/models/completionmodel.py
- Remove now unneeded type ignores for signals.
- Ignore a complaint about .set_pattern() not being defined. Completion
categories don't share any common parent class, so it would be good to introduce
a typing.Protocol for this. See #7098.
==== qutebrowser/components/misccommands.py
- Removed a now-unneeded type ignore for OR-ing flags.
==== qutebrowser/components/readlinecommands.py
- Make sure QApplication.instance() is a QApplication (and not just a
QCoreApplication). This includes the former "not None" check.
==== qutebrowser/components/scrollcommands.py
- Add basic annotation for "funcs" dict. Could have a callable protocol to
specify it needs a count kwarg, see #7098.
==== qutebrowser/config/stylesheet.py
- Correctly specify that stylesheet apply to QWidgets, not any QObject.
- Ignore an attr-defined for obj.STYLESHEET. Perhaps could somehow teach mypy
about this with overloads and protocols (stylesheet for set_register being None
=> STYLESHEET needs to be defined, otherwise anything goes), but perhaps not
worth the troble. See #7098.
==== qutebrowser/keyinput/keyutils.py
- Remove some now-unneeded type ignores and add a cast for using a single enum
value as flags. Might need to look at this again with Qt 6 support.
==== qutebrowser/keyinput/modeman.py
- Add a FIXME for using a TypedDict, see comments for hints.py above.
==== qutebrowser/mainwindow/mainwindow.py
- Remove now-unneeded type ignores for calling with OR-ed flags.
- Improve where we cast from WindowType to WindowFlags, no int needed
- Use new .tab_bar() getter, see below.
==== qutebrowser/mainwindow/prompt.py
- Remove now-unneeded type ignores for calling with OR-ed flags.
==== qutebrowser/mainwindow/statusbar/bar.py
- Adjust type ignores around @pyqtProperty. The fact one is still needed seems
like a stub regression.
==== qutebrowser/mainwindow/statusbar/command.py
- Fix type for setText() override (from QLineEdit): text can be None
(QString in C++).
==== qutebrowser/mainwindow/statusbar/url.py
- Adjust type ignores around @pyqtProperty. The fact one is still needed seems
like a stub regression.
==== qutebrowser/mainwindow/tabbedbrowser.py
- Specify that TabDeque manages browser tabs, not any QWidgets. It accesses
AbstractTab-specific attributes.
- Make sure that the .tabBar() we get is a tabwidget.TabBar, as we access
.maybe_hide.
- Fix the annotations for stored marks: Scroll positions are a QPoint, not int.
- Add _current_tab() and _tab_by_idx() wrappers for .currentWidget() and
.widget(), which ensures that the return values are valid AbstractTabs (or None
for _tab_by_idx). This is needed because we access AbstractTab-specific
attributes.
- For some places, where the tab can be None, continue using .currentTab() but
add asserts.
- Remove some now-unneeded [unreachable] ignores, as mypy knows about the None
possibility now.
==== qutebrowser/mainwindow/tabwidget.py
- Add new tab_bar() and _tab_by_idx() helpers which check that the .tabBar() and
.widget() are of type TabBar and AbstractTab, respectively.
- Add additional assertions where we expect ._tab_by_idx() to never be None.
- Remove dead code in get_tab_fields for handling a None y scroll position. I
was unable to find any place in the code where this could be set to None.
- Remove some now-unneeded type ignores and casts, as mypy now knows that
_type_by_idx() could be None.
- Work around a strange instance where mypy complains about not being able to
find the type of TabBar.drag_in_progress from TabWidget._toggle_visibility,
despite it clearly being shown as a bool *inside* that class without any
annotation.
- Add a ._tab_widget() getter in TabBar which ensures that the .parent() is in
fact a TabWidget.
==== qutebrowser/misc/crashsignal.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/misc/editor.py
- Remove now unneeded type ignores for signals.
==== qutebrowser/misc/ipc.py
- Remove now unneeded type ignores for signals.
- Add new type ignores for .error() which is both a signal and a getter
(stub regression?). Won't be relevant for Qt 6 anymore, as the signal was
renamed to errorOccurred in 5.15.
==== qutebrowser/misc/objects.py
- Make sure mypy knows that objects.app is our custom Application (with custom
attributes) rather than any QApplication.
==== qutebrowser/utils/objreg.py
- Ignore attr-defined for .win_id attributes. Maybe could add a typing.Protocol,
but ideally, the whole objreg stuff should die one day anyways.
==== tests/unit/completion/test_completer.py
- Make CompletionWidgetStub inherit from CompletionView so that it passes the
new isinstance() asserts in completer.py (see above). | https://github.com/qutebrowser/qutebrowser.git | def _model(self):
return self._completion().model()
| 16 | completer.py | Python | qutebrowser/completion/completer.py | a20bb67a878b2e68abf8268c1b0a27f018d01352 | qutebrowser | 1 |
|
93,002 | 9 | 9 | 16 | 39 | 5 | 0 | 9 | 18 | parametrize_backend | fix(snuba): Add appropriate `UseCaseKey` for indexer [TET-146] (#36308)
* fix(snuba): Add appropriate `UseCaseKey` for indexer
Update indexer invocation call to have the appropriate
`UseCaseKey` depending on use case.
In `src/sentry/sentry_metrics/indexer/base.py::StringIndexer`
when using `resolve` and `reverse_resolve` callers should not
rely on the default use_case_id.
Important changes:
- Add required parameter `use_case_id: UseCaseKey` to `get_series` from `src/sentry/snuba/metrics/datasource.py#L612`;
- Add required parameter to `get_metrics` in `src/sentry/snuba/metrics/datasource.py`
- Add required parameter to `get_tags` in `src/sentry/snuba/metrics/datasource.py`
- Add required parameter to `get_tag_values` in `src/sentry/snuba/metrics/datasource.py` | https://github.com/getsentry/sentry.git | def parametrize_backend(cls):
assert not hasattr(cls, "backend")
cls.backend = SessionsReleaseHealthBackend()
| 104 | test_sessions.py | Python | tests/snuba/sessions/test_sessions.py | cd803d173c72b64d06c0687170bf9a945d0b503c | sentry | 1 |
|
26,573 | 59 | 12 | 28 | 210 | 25 | 0 | 86 | 216 | fetch_jwks | Make OIDC plugin public (#9406)
* Make OIDC plugin public
* Add missing dependency package
* Apply changes after review
* Update changelog
* Apply changes after review
* Add const file | https://github.com/saleor/saleor.git | def fetch_jwks(jwks_url) -> Optional[dict]:
response = None
try:
response = requests.get(jwks_url, timeout=REQUEST_TIMEOUT)
response.raise_for_status()
jwks = response.json()
except requests.exceptions.RequestException:
logger.exception("Unable to fetch jwks from %s", jwks_url)
raise AuthenticationError("Unable to finalize the authentication process.")
except json.JSONDecodeError:
content = response.content if response else "Unable to find the response"
logger.exception(
"Unable to decode the response from auth service with jwks. "
"Response: %s",
content,
)
raise AuthenticationError("Unable to finalize the authentication process.")
keys = jwks.get("keys", [])
if not keys:
logger.warning("List of JWKS keys is empty")
cache.set(JWKS_KEY, keys, JWKS_CACHE_TIME)
return keys
| 122 | utils.py | Python | saleor/plugins/openid_connect/utils.py | 7d2e77c5f235ca60a2bf3ee02f4f9a8b10b03214 | saleor | 5 |
|
120,553 | 47 | 12 | 15 | 136 | 14 | 0 | 50 | 90 | verify_mac_libraries_dont_reference_chkstack | feat: refactor code using pyupgrade
This PR upgrades legacy Python code to 3.7+ code using pyupgrade:
```sh
pyupgrade --py37-plus --keep-runtime-typing **.py
```
a | https://github.com/google/jax.git | def verify_mac_libraries_dont_reference_chkstack():
if not _is_mac():
return
nm = subprocess.run(
["nm", "-g",
r.Rlocation("org_tensorflow/tensorflow/compiler/xla/python/xla_extension.so")
],
capture_output=True, text=True,
check=False)
if nm.returncode != 0:
raise RuntimeError(f"nm process failed: {nm.stdout} {nm.stderr}")
if "____chkstk_darwin" in nm.stdout:
raise RuntimeError(
"Mac wheel incorrectly depends on symbol ____chkstk_darwin, which "
"means that it isn't compatible with older MacOS versions.")
| 69 | build_wheel.py | Python | build/build_wheel.py | 17de89b16ac5ee05aee03115d858e67489eab973 | jax | 4 |
|
77,580 | 40 | 15 | 51 | 223 | 27 | 0 | 51 | 337 | test_title_column | Allow passing arbitrary link attributes to TitleColumn | https://github.com/wagtail/wagtail.git | def test_title_column(self):
root_page = Page.objects.filter(depth=2).first()
blog = Site.objects.create(
hostname="blog.example.com", site_name="My blog", root_page=root_page
)
gallery = Site.objects.create(
hostname="gallery.example.com", site_name="My gallery", root_page=root_page
)
data = [blog, gallery]
table = Table(
[
TitleColumn(
"hostname",
url_name="wagtailsites:edit",
link_classname="choose-site",
link_attrs={"data-chooser": "yes"},
),
Column("site_name", label="Site name"),
],
data,
)
html = self.render_component(table)
self.assertHTMLEqual(
html,
% (blog.pk, gallery.pk),
)
| 136 | test_tables.py | Python | wagtail/admin/tests/ui/test_tables.py | 5994cc43dfc5cc1ed891ab78eff3a3bcf56f6830 | wagtail | 1 |
|
36,915 | 35 | 9 | 3 | 65 | 10 | 1 | 38 | 56 | _set_gradient_checkpointing | RegNet (#16188)
* base model done
* make style
* done
* added files
* Apply suggestions from code review
Co-authored-by: NielsRogge <[email protected]>
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <[email protected]>
* Trigger doc build
* resolved conversations
* resolved conversations
* seer models
* minor changes
* minor changes
* make fixup
* glob variables
* minor changes
* fix copies
* config when possibile
* resolved conflicts
* resolved conflicts
* resolved conflicts
* CI
* conversion script for 10b param
* fixed for 10b model
* minor updates in the doc + make style
* removed unused code
* Apply suggestions from code review
Co-authored-by: NielsRogge <[email protected]>
* removed unused code
* removed unused code
* updated modeling_utils from main
Co-authored-by: NielsRogge <[email protected]>
Co-authored-by: Sylvain Gugger <[email protected]>
Co-authored-by: Sylvain Gugger <[email protected]> | https://github.com/huggingface/transformers.git | def _set_gradient_checkpointing(self, module, value=False):
if isinstance(module, RegNetModel):
module.gradient_checkpointing = value
REGNET_START_DOCSTRING = r
REGNET_INPUTS_DOCSTRING = r
@add_start_docstrings(
"The bare RegNet model outputting raw features without any specific head on top.",
REGNET_START_DOCSTRING,
)
# Copied from transformers.models.resnet.modeling_resnet.ResNetModel with RESNET->REGNET,ResNet->RegNet | @add_start_docstrings(
"The bare RegNet model outputting raw features without any specific head on top.",
REGNET_START_DOCSTRING,
) | 24 | modeling_regnet.py | Python | src/transformers/models/regnet/modeling_regnet.py | af14c61973effd8b8077ac61b3f24bdd4a632f25 | transformers | 2 |
157,142 | 76 | 15 | 32 | 376 | 32 | 0 | 119 | 548 | _loc | Generalize array checking and remove `pd.Index` call in `_get_partitions` (#9634) | https://github.com/dask/dask.git | def _loc(self, iindexer, cindexer):
if isinstance(iindexer, Series):
return self._loc_series(iindexer, cindexer)
elif isinstance(iindexer, Array):
return self._loc_array(iindexer, cindexer)
elif callable(iindexer):
return self._loc(iindexer(self.obj), cindexer)
if self.obj.known_divisions:
iindexer = self._maybe_partial_time_string(iindexer)
if isinstance(iindexer, slice):
return self._loc_slice(iindexer, cindexer)
elif is_series_like(iindexer) and not is_bool_dtype(iindexer.dtype):
return self._loc_list(iindexer.values, cindexer)
elif isinstance(iindexer, list) or is_arraylike(iindexer):
return self._loc_list(iindexer, cindexer)
else:
# element should raise KeyError
return self._loc_element(iindexer, cindexer)
else:
if isinstance(iindexer, (list, np.ndarray)) or (
is_series_like(iindexer) and not is_bool_dtype(iindexer.dtype)
):
# applying map_partitions to each partition
# results in duplicated NaN rows
msg = (
"Cannot index with list against unknown division. "
"Try setting divisions using ``ddf.set_index``"
)
raise KeyError(msg)
elif not isinstance(iindexer, slice):
iindexer = slice(iindexer, iindexer)
meta = self._make_meta(iindexer, cindexer)
return self.obj.map_partitions(
methods.try_loc, iindexer, cindexer, meta=meta
)
| 242 | indexing.py | Python | dask/dataframe/indexing.py | 8be183c570dd953aa16d790afb709786b3d7cbf8 | dask | 14 |
|
293,763 | 44 | 11 | 42 | 448 | 17 | 0 | 117 | 343 | test_lazy_state_handles_same_last_updated_and_last_changed | Separate attrs into another table (reduces database size) (#68224) | https://github.com/home-assistant/core.git | async def test_lazy_state_handles_same_last_updated_and_last_changed(caplog):
now = datetime(2021, 6, 12, 3, 4, 1, 323, tzinfo=dt_util.UTC)
row = PropertyMock(
entity_id="sensor.valid",
state="off",
shared_attrs='{"shared":true}',
last_updated=now,
last_changed=now,
)
lstate = LazyState(row)
assert lstate.as_dict() == {
"attributes": {"shared": True},
"entity_id": "sensor.valid",
"last_changed": "2021-06-12T03:04:01.000323+00:00",
"last_updated": "2021-06-12T03:04:01.000323+00:00",
"state": "off",
}
assert lstate.last_updated == row.last_updated
assert lstate.last_changed == row.last_changed
assert lstate.as_dict() == {
"attributes": {"shared": True},
"entity_id": "sensor.valid",
"last_changed": "2021-06-12T03:04:01.000323+00:00",
"last_updated": "2021-06-12T03:04:01.000323+00:00",
"state": "off",
}
lstate.last_updated = datetime(2020, 6, 12, 3, 4, 1, 323, tzinfo=dt_util.UTC)
assert lstate.as_dict() == {
"attributes": {"shared": True},
"entity_id": "sensor.valid",
"last_changed": "2021-06-12T03:04:01.000323+00:00",
"last_updated": "2020-06-12T03:04:01.000323+00:00",
"state": "off",
}
lstate.last_changed = datetime(2020, 6, 12, 3, 4, 1, 323, tzinfo=dt_util.UTC)
assert lstate.as_dict() == {
"attributes": {"shared": True},
"entity_id": "sensor.valid",
"last_changed": "2020-06-12T03:04:01.000323+00:00",
"last_updated": "2020-06-12T03:04:01.000323+00:00",
"state": "off",
}
| 261 | test_models.py | Python | tests/components/recorder/test_models.py | 9215702388eef03c7c3ed9f756ea0db533d5beec | core | 1 |
|
101,335 | 20 | 10 | 12 | 107 | 12 | 0 | 24 | 88 | terminate_queues | Bugfix: convert - Gif Writer
- Fix non-launch error on Gif Writer
- convert plugins - linting
- convert/fs_media/preview/queue_manager - typing
- Change convert items from dict to Dataclass | https://github.com/deepfakes/faceswap.git | def terminate_queues(self) -> None:
logger.debug("QueueManager terminating all queues")
self.shutdown.set()
self._flush_queues()
for q_name, queue in self.queues.items():
logger.debug("QueueManager terminating: '%s'", q_name)
queue.put("EOF")
logger.debug("QueueManager terminated all queues")
| 59 | queue_manager.py | Python | lib/queue_manager.py | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | faceswap | 2 |
|
275,526 | 5 | 6 | 2 | 18 | 3 | 0 | 5 | 19 | _transform_loss | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _transform_loss(self, loss):
return loss
| 10 | optimizer_v2.py | Python | keras/optimizers/optimizer_v2/optimizer_v2.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 |
|
98,544 | 6 | 6 | 2 | 20 | 5 | 0 | 6 | 20 | get_next_event_id | ref: clean up sentry flake8 plugin (#33847)
* fix: Remove unused `# noqa` lint disable comments
* ref: clean up sentry flake8 plugin
- remove S005: pyupgrade handles this for us
- remove `pycodestyle` handling: flake8 does this natively
- clean up the ignore list and use extend-ignore | https://github.com/getsentry/sentry.git | def get_next_event_id(self, event, snuba_filter):
raise NotImplementedError
| 12 | base.py | Python | src/sentry/eventstore/base.py | 94c896a4a3663abbd31775957f1aa5448fde5491 | sentry | 1 |
|
269,617 | 11 | 7 | 2 | 67 | 12 | 1 | 11 | 14 | prod | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def prod(x, axis=None, keepdims=False):
return tf.reduce_prod(x, axis, keepdims)
@keras_export("keras.backend.cumsum")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | @keras_export("keras.backend.cumsum")
@tf.__internal__.dispatch.add_dispatch_support
@doc_controls.do_not_generate_docs | 25 | backend.py | Python | keras/backend.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 |
111,194 | 31 | 12 | 9 | 175 | 22 | 0 | 42 | 69 | get_characters_loss | Auto-format code with black (#10209)
* Auto-format code with black
* add black requirement to dev dependencies and pin to 22.x
* ignore black dependency for comparison with setup.cfg
Co-authored-by: explosion-bot <[email protected]>
Co-authored-by: svlandeg <[email protected]> | https://github.com/explosion/spaCy.git | def get_characters_loss(ops, docs, prediction, nr_char):
target_ids = numpy.vstack([doc.to_utf8_array(nr_char=nr_char) for doc in docs])
target_ids = target_ids.reshape((-1,))
target = ops.asarray(to_categorical(target_ids, n_classes=256), dtype="f")
target = target.reshape((-1, 256 * nr_char))
diff = prediction - target
loss = (diff**2).sum()
d_target = diff / float(prediction.shape[0])
return loss, d_target
| 112 | multi_task.py | Python | spacy/ml/models/multi_task.py | 91ccacea12a46c62ccb5e7f6de891a37cb71e184 | spaCy | 2 |
|
259,914 | 9 | 11 | 21 | 45 | 7 | 0 | 9 | 24 | get_conda_environment_content | CI: move Linux and MacOS Azure builds to conda lock files (#22448)
Co-authored-by: Olivier Grisel <[email protected]>
Co-authored-by: Thomas J. Fan <[email protected]> | https://github.com/scikit-learn/scikit-learn.git | def get_conda_environment_content(build_metadata):
template = environment.from_string(
.strip()
)
return template.render(build_metadata=build_metadata)
| 26 | update_environments_and_lock_files.py | Python | build_tools/azure/update_environments_and_lock_files.py | f862129f36786acbae3d9f2d161bbb72d77b87ec | scikit-learn | 1 |
|
266,001 | 11 | 13 | 2 | 66 | 7 | 0 | 11 | 17 | title | Closes #10698: Omit app label from content type in table columns | https://github.com/netbox-community/netbox.git | def title(value):
return ' '.join([w[0].upper() + w[1:] for w in str(value).split()])
| 39 | utils.py | Python | netbox/utilities/utils.py | 0ad7ae28377f44ff7d1ed119a6ff7a8f43bf8e91 | netbox | 2 |
|
154,522 | 11 | 10 | 6 | 51 | 8 | 0 | 11 | 65 | get_key | REFACTOR-#5009: use RayWrapper.materialize instead of ray.get (#5010)
Signed-off-by: Myachev <[email protected]> | https://github.com/modin-project/modin.git | def get_key(self):
return (
RayWrapper.materialize(self.key)
if isinstance(self.key, ray.ObjectRef)
else self.key
)
| 32 | partition.py | Python | modin/core/execution/ray/implementations/cudf_on_ray/partitioning/partition.py | 1dc16415333bf2428ee2b1f4d31ff94e66b9a0a6 | modin | 2 |
|
181,640 | 9 | 8 | 4 | 40 | 6 | 0 | 10 | 22 | test_CategoricalSelector_fit | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | https://github.com/EpistasisLab/tpot.git | def test_CategoricalSelector_fit():
op = CategoricalSelector()
ret_op = op.fit(iris_data)
assert ret_op==op
| 22 | feature_transformers_tests.py | Python | tests/feature_transformers_tests.py | 388616b6247ca4ea8de4e2f340d6206aee523541 | tpot | 1 |
|
155,537 | 115 | 15 | 51 | 391 | 43 | 0 | 153 | 807 | shift | Add groupby shift method (#8522)
Implements the shift `method` following the `transform` and `apply` methods. | https://github.com/dask/dask.git | def shift(self, periods=1, freq=None, axis=0, fill_value=None, meta=no_default):
if meta is no_default:
with raise_on_meta_error("groupby.shift()", udf=False):
meta_kwargs = _extract_meta(
{
"periods": periods,
"freq": freq,
"axis": axis,
"fill_value": fill_value,
},
nonempty=True,
)
meta = self._meta_nonempty.shift(**meta_kwargs)
msg = (
"`meta` is not specified, inferred from partial data. "
"Please provide `meta` if the result is unexpected.\n"
" Before: .shift(1)\n"
" After: .shift(1, meta={'x': 'f8', 'y': 'f8'}) for dataframe result\n"
" or: .shift(1, meta=('x', 'f8')) for series result"
)
warnings.warn(msg, stacklevel=2)
meta = make_meta(meta, parent_meta=self._meta.obj)
# Validate self.by
if isinstance(self.by, list) and any(
isinstance(item, Series) for item in self.by
):
raise NotImplementedError(
"groupby-shift with a multiple Series is currently not supported"
)
df = self.obj
should_shuffle = not (df.known_divisions and df._contains_index_name(self.by))
if should_shuffle:
df2, by = self._shuffle(meta)
else:
df2 = df
by = self.by
# Perform embarrassingly parallel groupby-shift
result = map_partitions(
_groupby_slice_shift,
df2,
by,
self._slice,
periods=periods,
freq=freq,
axis=axis,
fill_value=fill_value,
token="groupby-shift",
group_keys=self.group_keys,
meta=meta,
**self.observed,
**self.dropna,
)
return result
| 246 | groupby.py | Python | dask/dataframe/groupby.py | 336aac39ee8a616ac2645e532392123ae1bfddd1 | dask | 7 |
|
273,581 | 65 | 17 | 28 | 212 | 18 | 0 | 105 | 441 | _fix_unknown_dimension | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _fix_unknown_dimension(self, input_shape, output_shape):
output_shape = list(output_shape)
msg = (
"total size of new array must be unchanged, "
"input_shape = {}, output_shape = {}".format(
input_shape, output_shape
)
)
known, unknown = 1, None
for index, dim in enumerate(output_shape):
if dim < 0:
if unknown is None:
unknown = index
else:
raise ValueError(
f"There must be at most one unknown dimension in output_shape. "
f"Received: output_shape={output_shape}."
)
else:
known *= dim
original = np.prod(input_shape, dtype=int)
if unknown is not None:
if known == 0 or original % known != 0:
raise ValueError(msg)
output_shape[unknown] = original // known
elif original != known:
raise ValueError(msg)
return output_shape
| 128 | reshape.py | Python | keras/layers/reshaping/reshape.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 8 |
|
37,344 | 28 | 10 | 12 | 114 | 12 | 0 | 31 | 131 | test_small_model_long_context_cls_slow | Long QuestionAnsweringPipeline fix. (#16778)
* Temporary commit witht the long QA fix.
* Adding slow tests covering this fix.
* Removing fast test as it doesn't fail anyway. | https://github.com/huggingface/transformers.git | def test_small_model_long_context_cls_slow(self):
question_answerer = pipeline(
"question-answering",
model="deepset/roberta-base-squad2",
handle_impossible_answer=True,
max_seq_length=512,
)
outputs = question_answerer(
question="What country is Paris the capital of?",
context=,
)
self.assertEqual(nested_simplify(outputs), {"score": 0.988, "start": 0, "end": 0, "answer": ""})
| 66 | test_pipelines_question_answering.py | Python | tests/pipelines/test_pipelines_question_answering.py | 6620f60c0abb56d441ed3ef627d9a87f27dba479 | transformers | 1 |
|
132,846 | 17 | 14 | 9 | 112 | 17 | 0 | 17 | 100 | add_trial | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | https://github.com/ray-project/ray.git | def add_trial(self, trial):
self._trials.append(trial)
if trial.status != Trial.TERMINATED:
self._live_trials.add(trial)
with warn_if_slow("scheduler.on_trial_add"):
self._scheduler_alg.on_trial_add(
TrialRunnerWrapper(self, runner_whitelist_attr={"search_alg"}), trial
)
self.trial_executor.mark_trial_to_checkpoint(trial)
| 66 | trial_runner.py | Python | python/ray/tune/trial_runner.py | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | 2 |
|
268,015 | 4 | 6 | 2 | 23 | 5 | 0 | 4 | 11 | get_controller_target_connections | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annotation type comments to native type hints.
* ansible-test - Use more native type hints.
Conversion of single-line function annotation type comments with default values to native type hints.
* ansible-test - Use more native type hints.
Manual conversion of type annotation comments for functions which have pylint directives. | https://github.com/ansible/ansible.git | def get_controller_target_connections(self) -> t.List[SshConnection]:
| 13 | host_profiles.py | Python | test/lib/ansible_test/_internal/host_profiles.py | 3eb0485dd92c88cc92152d3656d94492db44b183 | ansible | 1 |
|
162,026 | 6 | 8 | 33 | 30 | 6 | 0 | 6 | 20 | unify | Update URLs in error messages to refer to RTD docs.
As title. This replaces references to documentation at
numba.pydata.org with numba.readthedocs.io. It also fixes URLs
that were invalid. | https://github.com/numba/numba.git | def unify(self, raise_errors=True):
typdict = utils.UniqueDict()
| 193 | typeinfer.py | Python | numba/core/typeinfer.py | fc1e0cef7f574826114185a27d0686f527b7ffaf | numba | 11 |
|
46,790 | 11 | 12 | 4 | 58 | 7 | 0 | 11 | 27 | commit_sha | Prepare Breeze2 for prime time :) (#22713)
This is a review and clean-up for all the parameters and
commands for Breeze2 in order to prepare it for being
used by the contribugors.
There are various small fixes here and there, removal
of duplicated code, refactoring and moving code around
as well as cleanup and review all the parameters used
for all implemented commands.
The parameters, default values and their behaviours were
updated to match "new" life of Breeze rather than old
one.
Some improvements are made to the autocomplete and
click help messages printed. Full list of choices is
always displayed, parameters are groups according to
their target audience, and they were sorted according
to importance and frequency of use.
Various messages have been colourised according to their
meaning - warnings as yellow, errors as red and
informational messages as bright_blue.
The `dry-run` option has been added to just show what
would have been run without actually running some
potentially "write" commands (read commands are still
executed) so that you can easily verify and manually
copy and execute the commands with option to modify
them before. The `dry_run` and `verbose` options are
now used for all commands.
The "main" command now runs "shell" by default similarly
as the original Breeze.
All "shortcut" parameters have been standardized - i.e
common options (verbose/dry run/help) have one and all
common flags that are likely to be used often have an
assigned shortcute.
The "stop" and "cleanup" command have been added
as they are necessary for average user to complete the
regular usage cycle.
Documentation for all the important methods have been
updated. | https://github.com/apache/airflow.git | def commit_sha():
return run_command(
['git', 'rev-parse', 'HEAD'], capture_output=True, text=True, check=False
).stdout.strip()
| 34 | run_utils.py | Python | dev/breeze/src/airflow_breeze/utils/run_utils.py | 4ffd4f09532fceb67675fce4c1f5cd383eff992e | airflow | 1 |
|
172,905 | 219 | 23 | 124 | 1,748 | 115 | 1 | 396 | 2,178 | render_adv_search_results | Refactored load read status for web access and opds access
Refactored and removed discover html page
Bugfix show author
Bugfix open dialog in author page
Fix for #2341 (advanced search with linked read column and read column having a higher number than number of available custom columns) | https://github.com/janeczku/calibre-web.git | def render_adv_search_results(term, offset=None, order=None, limit=None):
sort_param = order[0] if order else [db.Books.sort]
pagination = None
cc = get_cc_columns(filter_config_custom_read=True)
calibre_db.session.connection().connection.connection.create_function("lower", 1, db.lcase)
query = calibre_db.generate_linked_query(config.config_read_column, db.Books)
q = query.outerjoin(db.books_series_link, db.books_series_link.c.book == db.Books.id) \
.outerjoin(db.Series) \
.filter(calibre_db.common_filters(True))
# parse multiselects to a complete dict
tags = dict()
elements = ['tag', 'serie', 'shelf', 'language', 'extension']
for element in elements:
tags['include_' + element] = term.get('include_' + element)
tags['exclude_' + element] = term.get('exclude_' + element)
author_name = term.get("author_name")
book_title = term.get("book_title")
publisher = term.get("publisher")
pub_start = term.get("publishstart")
pub_end = term.get("publishend")
rating_low = term.get("ratinghigh")
rating_high = term.get("ratinglow")
description = term.get("comment")
read_status = term.get("read_status")
if author_name:
author_name = author_name.strip().lower().replace(',', '|')
if book_title:
book_title = book_title.strip().lower()
if publisher:
publisher = publisher.strip().lower()
search_term = []
cc_present = False
for c in cc:
if c.datatype == "datetime":
column_start = term.get('custom_column_' + str(c.id) + '_start')
column_end = term.get('custom_column_' + str(c.id) + '_end')
if column_start:
search_term.extend([u"{} >= {}".format(c.name,
format_date(datetime.strptime(column_start, "%Y-%m-%d").date(),
format='medium',
locale=get_locale())
)])
cc_present = True
if column_end:
search_term.extend([u"{} <= {}".format(c.name,
format_date(datetime.strptime(column_end, "%Y-%m-%d").date(),
format='medium',
locale=get_locale())
)])
cc_present = True
elif term.get('custom_column_' + str(c.id)):
search_term.extend([(u"{}: {}".format(c.name, term.get('custom_column_' + str(c.id))))])
cc_present = True
if any(tags.values()) or author_name or book_title or \
publisher or pub_start or pub_end or rating_low or rating_high \
or description or cc_present or read_status:
search_term, pub_start, pub_end = extend_search_term(search_term,
author_name,
book_title,
publisher,
pub_start,
pub_end,
tags,
rating_high,
rating_low,
read_status)
# q = q.filter()
if author_name:
q = q.filter(db.Books.authors.any(func.lower(db.Authors.name).ilike("%" + author_name + "%")))
if book_title:
q = q.filter(func.lower(db.Books.title).ilike("%" + book_title + "%"))
if pub_start:
q = q.filter(func.datetime(db.Books.pubdate) > func.datetime(pub_start))
if pub_end:
q = q.filter(func.datetime(db.Books.pubdate) < func.datetime(pub_end))
q = adv_search_read_status(q, read_status)
if publisher:
q = q.filter(db.Books.publishers.any(func.lower(db.Publishers.name).ilike("%" + publisher + "%")))
q = adv_search_text(q, tags['include_tag'], tags['exclude_tag'], db.Tags.id)
q = adv_search_text(q, tags['include_serie'], tags['exclude_serie'], db.Series.id)
q = adv_search_text(q, tags['include_extension'], tags['exclude_extension'], db.Data.format)
q = adv_search_shelf(q, tags['include_shelf'], tags['exclude_shelf'])
q = adv_search_language(q, tags['include_language'], tags['exclude_language'])
q = adv_search_ratings(q, rating_high, rating_low, )
if description:
q = q.filter(db.Books.comments.any(func.lower(db.Comments.text).ilike("%" + description + "%")))
# search custom culumns
try:
q = adv_search_custom_columns(cc, term, q)
except AttributeError as ex:
log.error_or_exception(ex)
flash(_("Error on search for custom columns, please restart Calibre-Web"), category="error")
q = q.order_by(*sort_param).all()
flask_session['query'] = json.dumps(term)
ub.store_combo_ids(q)
result_count = len(q)
if offset is not None and limit is not None:
offset = int(offset)
limit_all = offset + int(limit)
pagination = Pagination((offset / (int(limit)) + 1), limit, result_count)
else:
offset = 0
limit_all = result_count
entries = calibre_db.order_authors(q[offset:limit_all], list_return=True, combined=True)
return render_title_template('search.html',
adv_searchterm=search_term,
pagination=pagination,
entries=entries,
result_count=result_count,
title=_(u"Advanced Search"), page="advsearch",
order=order[1])
@web.route("/advsearch", methods=['GET'])
@login_required_if_no_ano | @web.route("/advsearch", methods=['GET'])
@login_required_if_no_ano | 1,056 | web.py | Python | cps/web.py | 32a3c45ee0f7e13bd61075f32a4dcebc415585a1 | calibre-web | 31 |
2,284 | 43 | 8 | 2 | 59 | 5 | 0 | 109 | 286 | all | added conversion for syft object to json
working client.users table | https://github.com/OpenMined/PySyft.git | def all(self) -> List[SyftObject]:
return self.find({})
# def delete(self, **kwargs: Any) -> None:
#
# session_local = sessionmaker(autocommit=False, autoflush=False, bind=self.db)()
# session_local.query(self._schema).filter_by(**kwargs).delete()
# session_local.commit()
# session_local.close()
# def modify(self, query: Dict[Any, Any], values: Dict[Any, Any]) -> None:
#
# session_local = sessionmaker(autocommit=False, autoflush=False, bind=self.db)()
# session_local.query(self._schema).filter_by(**query).update(values)
# session_local.commit()
# session_local.close()
# def contain(self, **kwargs: Any) -> bool:
# session_local = sessionmaker(autocommit=False, autoflush=False, bind=self.db)()
# objects = session_local.query(self._schema).filter_by(**kwargs).all()
# session_local.close()
# return len(objects) != 0
# def __len__(self) -> int:
# session_local = sessionmaker(autocommit=False, autoflush=False, bind=self.db)()
# result = session_local.query(self._schema).count()
# session_local.close()
# return result
# def clear(self) -> None:
# local_session = sessionmaker(bind=self.db)()
# local_session.query(self._schema).delete()
# local_session.commit()
# local_session.close()
| 18 | database_manager.py | Python | packages/syft/src/syft/core/node/common/node_manager/database_manager.py | 99efeb99fc7753a28cbf53906b6502aadf01fcf1 | PySyft | 1 |
|
267,791 | 6 | 7 | 3 | 29 | 5 | 0 | 6 | 20 | root_namespace | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annotation type comments to native type hints.
* ansible-test - Use more native type hints.
Conversion of single-line function annotation type comments with default values to native type hints.
* ansible-test - Use more native type hints.
Manual conversion of type annotation comments for functions which have pylint directives. | https://github.com/ansible/ansible.git | def root_namespace(self) -> t.Any:
return self.namespaces[0]
| 17 | parsers.py | Python | test/lib/ansible_test/_internal/cli/argparsing/parsers.py | 3eb0485dd92c88cc92152d3656d94492db44b183 | ansible | 1 |
|
203,275 | 58 | 12 | 17 | 146 | 12 | 0 | 65 | 248 | test_body_after_POST_multipart_related | Refs #33476 -- Refactored problematic code before reformatting by Black.
In these cases Black produces unexpected results, e.g.
def make_random_password(
self,
length=10,
allowed_chars='abcdefghjkmnpqrstuvwxyz' 'ABCDEFGHJKLMNPQRSTUVWXYZ' '23456789',
):
or
cursor.execute("""
SELECT ...
""",
[table name],
) | https://github.com/django/django.git | def test_body_after_POST_multipart_related(self):
# Ticket #9054
# There are cases in which the multipart data is related instead of
# being a binary upload, in which case it should still be accessible
# via body.
payload_data = b"\r\n".join([
b'--boundary',
b'Content-ID: id; name="name"',
b'',
b'value',
b'--boundary--'
])
payload = FakePayload(payload_data)
request = WSGIRequest({
'REQUEST_METHOD': 'POST',
'CONTENT_TYPE': 'multipart/related; boundary=boundary',
'CONTENT_LENGTH': len(payload),
'wsgi.input': payload,
})
self.assertEqual(request.POST, {})
self.assertEqual(request.body, payload_data)
| 83 | tests.py | Python | tests/requests/tests.py | c5cd8783825b5f6384417dac5f3889b4210b7d08 | django | 1 |
|
101,209 | 13 | 12 | 6 | 72 | 11 | 0 | 16 | 84 | has_thumbnails | 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 | https://github.com/deepfakes/faceswap.git | def has_thumbnails(self):
retval = all(face.get("thumb")
for frame in self._alignments_dict.values()
for face in frame["faces"])
logger.trace(retval)
return retval
| 42 | alignments.py | Python | lib/align/alignments.py | 5e73437be47f2410439a3c6716de96354e6a0c94 | faceswap | 3 |
|
208,278 | 47 | 13 | 8 | 126 | 11 | 0 | 59 | 141 | _freeze_gid | Canvas.py doc enhancement (#7902)
* Added reference in comment to issue #6973 regarding slow downs when using a group with a generator of many tasks
* Added TODO comment to group.skew() to consider removing it
* Enhanced doc for canvas.group.from_dict()
* Enhanced doc for canvas.group._prepared()
* Enhanced doc for canvas.group._apply_tasks()
* Enhanced doc for canvas.group._freeze_gid()
* Enhanced doc for canvas.group._freeze_unroll()
* Enhanced doc for canvas.group._unroll_tasks()
* Enhanced doc for canvas.group._freeze_tasks()
* Enhanced doc for canvas.group._freeze_group_tasks()
* Update celery/canvas.py
Co-authored-by: Omer Katz <[email protected]>
* Added example doc for group.from_dict()
Co-authored-by: Omer Katz <[email protected]> | https://github.com/celery/celery.git | def _freeze_gid(self, options):
# remove task_id and use that as the group_id,
# if we don't remove it then every task will have the same id...
options = {**self.options, **{
k: v for k, v in options.items()
if k not in self._IMMUTABLE_OPTIONS or k not in self.options
}}
options['group_id'] = group_id = (
options.pop('task_id', uuid()))
return options, group_id, options.get('root_id')
| 77 | canvas.py | Python | celery/canvas.py | 4e2280b12958edd0acdcd40e4bb845bbc3070791 | celery | 4 |
|
38,996 | 4 | 10 | 2 | 35 | 7 | 0 | 4 | 10 | get_expert_parallel_world_size | MoE inference + PR-MoE model support (#1705)
Co-authored-by: Reza Yazdani <[email protected]>
Co-authored-by: Zhewei Yao <[email protected]>
Co-authored-by: Ammar Ahmad Awan <[email protected]>
Co-authored-by: Jeff Rasley <[email protected]>
Co-authored-by: Samyam Rajbhandari <[email protected]> | https://github.com/microsoft/DeepSpeed.git | def get_expert_parallel_world_size(group_name):
return torch.distributed.get_world_size(group=get_expert_parallel_group(group_name))
| 20 | groups.py | Python | deepspeed/utils/groups.py | e46d808a1b6cb7e04cb2806e38547b1e3e50c25a | DeepSpeed | 1 |
|
46,793 | 39 | 13 | 14 | 214 | 19 | 0 | 48 | 126 | fix_group_permissions | Prepare Breeze2 for prime time :) (#22713)
This is a review and clean-up for all the parameters and
commands for Breeze2 in order to prepare it for being
used by the contribugors.
There are various small fixes here and there, removal
of duplicated code, refactoring and moving code around
as well as cleanup and review all the parameters used
for all implemented commands.
The parameters, default values and their behaviours were
updated to match "new" life of Breeze rather than old
one.
Some improvements are made to the autocomplete and
click help messages printed. Full list of choices is
always displayed, parameters are groups according to
their target audience, and they were sorted according
to importance and frequency of use.
Various messages have been colourised according to their
meaning - warnings as yellow, errors as red and
informational messages as bright_blue.
The `dry-run` option has been added to just show what
would have been run without actually running some
potentially "write" commands (read commands are still
executed) so that you can easily verify and manually
copy and execute the commands with option to modify
them before. The `dry_run` and `verbose` options are
now used for all commands.
The "main" command now runs "shell" by default similarly
as the original Breeze.
All "shortcut" parameters have been standardized - i.e
common options (verbose/dry run/help) have one and all
common flags that are likely to be used often have an
assigned shortcute.
The "stop" and "cleanup" command have been added
as they are necessary for average user to complete the
regular usage cycle.
Documentation for all the important methods have been
updated. | https://github.com/apache/airflow.git | def fix_group_permissions():
console.print("[bright_blue]Fixing group permissions[/]")
files_to_fix_result = run_command(['git', 'ls-files', './'], capture_output=True, text=True)
if files_to_fix_result.returncode == 0:
files_to_fix = files_to_fix_result.stdout.strip().split('\n')
for file_to_fix in files_to_fix:
change_file_permission(Path(file_to_fix))
directories_to_fix_result = run_command(
['git', 'ls-tree', '-r', '-d', '--name-only', 'HEAD'], capture_output=True, text=True
)
if directories_to_fix_result.returncode == 0:
directories_to_fix = directories_to_fix_result.stdout.strip().split('\n')
for directory_to_fix in directories_to_fix:
change_directory_permission(Path(directory_to_fix))
| 123 | run_utils.py | Python | dev/breeze/src/airflow_breeze/utils/run_utils.py | 4ffd4f09532fceb67675fce4c1f5cd383eff992e | airflow | 5 |
|
105,716 | 23 | 13 | 7 | 91 | 14 | 0 | 29 | 57 | _load_table_data | Fix bugs in msr_sqa dataset (#3715)
* Fix problems in msr_sqa
* Update metadata JSON
* Update version
* Update dummy data version
* Update metadata JSON
Co-authored-by: Tianbao Xie <[email protected]>
Co-authored-by: Albert Villanova del Moral <[email protected]> | https://github.com/huggingface/datasets.git | def _load_table_data(table_file):
rows = []
table_data = pd.read_csv(table_file)
# the first line is header
header = list(table_data.columns)
for row_data in table_data.values:
rows.append([str(_) for _ in list(row_data)])
return header, rows
| 55 | msr_sqa.py | Python | datasets/msr_sqa/msr_sqa.py | 55924c5e3b823a3b1206269bb0892cd3a9508570 | datasets | 3 |
|
28,887 | 12 | 13 | 6 | 70 | 8 | 0 | 12 | 38 | call_event | [Change] Change the way transactions are handled in mutations (#10606)
* refactor account, app, attribute mutations
* add checkout refactor
* Change transactions on all mutations to context, and use call_event method to trigger webhooks
* remove comments
* refactor call_event and move app load outside transaction in few places
* remove redundant code from merge conflicts
* switch calling call_event to more readable way
* fix missed event call
* refactor and add transaction in permission group
* move call_event function to utils, fix few event calls after review
* fix one event call after review
* fix transaction scope | https://github.com/saleor/saleor.git | def call_event(func_obj, *func_args):
connection = transaction.get_connection()
if connection.in_atomic_block:
transaction.on_commit(lambda: func_obj(*func_args))
else:
func_obj(*func_args)
| 40 | events.py | Python | saleor/core/utils/events.py | 89786f24b5296a23c093fcfea90893292473b275 | saleor | 2 |
|
107,135 | 20 | 12 | 8 | 96 | 13 | 0 | 27 | 91 | set_constrained_layout | ENH: implement and use base layout_engine for more flexible layout. | https://github.com/matplotlib/matplotlib.git | def set_constrained_layout(self, constrained):
if constrained is None:
constrained = mpl.rcParams['figure.constrained_layout.use']
_constrained = bool(constrained)
_parameters = constrained if isinstance(constrained, dict) else {}
if _constrained:
self.set_layout_engine(ConstrainedLayoutEngine(**_parameters))
self.stale = True
| 58 | figure.py | Python | lib/matplotlib/figure.py | ec4dfbc3c83866f487ff0bc9c87b0d43a1c02b22 | matplotlib | 4 |
|
31,845 | 38 | 15 | 7 | 87 | 10 | 1 | 43 | 115 | _reorder_cache | Add MVP model (#17787)
* Add MVP model
* Update README
* Remove useless module
* Update docs
* Fix bugs in tokenizer
* Remove useless test
* Remove useless module
* Update vocab
* Remove specifying
* Remove specifying
* Add #Copied ... statement
* Update paper link
* Remove useless TFMvp
* Add #Copied ... statement
* Fix style in test mvp model
* Fix some typos
* Fix properties of unset special tokens in non verbose mode
* Update paper link
* Update MVP doc
* Update MVP doc
* Fix README
* Fix typos in docs
* Update docs | https://github.com/huggingface/transformers.git | def _reorder_cache(past, beam_idx):
reordered_past = ()
for layer_past in past:
# cached cross_attention states don't have to be reordered -> they are always the same
reordered_past += (
tuple(past_state.index_select(0, beam_idx) for past_state in layer_past[:2]) + layer_past[2:],
)
return reordered_past
@add_start_docstrings(
,
MVP_START_DOCSTRING,
) | @add_start_docstrings(
"""
Mvp model with a sequence classification/head on top (a linear layer on top of the pooled output) e.g. for GLUE
tasks.
""",
MVP_START_DOCSTRING,
) | 48 | modeling_mvp.py | Python | src/transformers/models/mvp/modeling_mvp.py | 3cff4cc58730409c68f8afa2f3b9c61efa0e85c6 | transformers | 3 |
95,753 | 49 | 17 | 48 | 407 | 28 | 0 | 106 | 634 | test_fetching_release_sessions_time_bounds_for_different_release | fix(release_health): Adjust granularity to be bug-compatible with sessions (#31246) | https://github.com/getsentry/sentry.git | def test_fetching_release_sessions_time_bounds_for_different_release(self):
# Same release session
self.store_session(
self.build_session(
release=self.session_release,
environment="prod",
status="exited",
started=self.session_started - 3600 * 2,
received=self.received - 3600 * 2,
)
)
# Different release session
self.store_session(
self.build_session(
release=self.session_crashed_release,
environment="prod",
status="crashed",
started=self.session_started - 3600 * 2,
received=self.received - 3600 * 2,
)
)
expected_formatted_lower_bound = (
datetime.utcfromtimestamp(self.session_started - 3600 * 2)
.replace(minute=0)
.isoformat()[:19]
+ "Z"
)
expected_formatted_upper_bound = (
datetime.utcfromtimestamp(self.session_started).replace(minute=0).isoformat()[:19] + "Z"
)
# Test for self.session_release
data = self.backend.get_release_sessions_time_bounds(
project_id=self.project.id,
release=self.session_release,
org_id=self.organization.id,
environments=["prod"],
)
assert data == {
"sessions_lower_bound": expected_formatted_lower_bound,
"sessions_upper_bound": expected_formatted_upper_bound,
}
# Test for self.session_crashed_release
data = self.backend.get_release_sessions_time_bounds(
project_id=self.project.id,
release=self.session_crashed_release,
org_id=self.organization.id,
environments=["prod"],
)
assert data == {
"sessions_lower_bound": expected_formatted_lower_bound,
"sessions_upper_bound": expected_formatted_upper_bound,
}
| 256 | test_sessions.py | Python | tests/snuba/sessions/test_sessions.py | e851f67ee6ca0185112a0d1c919ee63f6bed98e3 | sentry | 1 |
|
167,732 | 14 | 11 | 32 | 67 | 8 | 0 | 14 | 75 | to_dense | TYP: more return annotations in core/ (#47618)
* TYP: more return annotations in core/
* from __future__ import annotations
* more __future__ | https://github.com/pandas-dev/pandas.git | def to_dense(self) -> Series:
from pandas import Series
return Series(
self._parent.array.to_dense(),
index=self._parent.index,
name=self._parent.name,
)
| 42 | accessor.py | Python | pandas/core/arrays/sparse/accessor.py | f65417656ba8c59438d832b6e2a431f78d40c21c | pandas | 1 |
|
78,248 | 12 | 12 | 5 | 61 | 6 | 0 | 15 | 54 | base_queryset | Add generic settings to compliment site-specific settings (#8327) | https://github.com/wagtail/wagtail.git | def base_queryset(cls):
queryset = cls.objects.all()
if cls.select_related is not None:
queryset = queryset.select_related(*cls.select_related)
return queryset
| 36 | models.py | Python | wagtail/contrib/settings/models.py | d967eccef28ce47f60d26be1c28f2d83a25f40b0 | wagtail | 2 |
|
107,364 | 7 | 9 | 3 | 40 | 6 | 0 | 7 | 28 | locator | MNT: make colorbars locators and formatters properties | https://github.com/matplotlib/matplotlib.git | def locator(self, loc):
self._long_axis().set_major_locator(loc)
self._locator = loc
| 23 | colorbar.py | Python | lib/matplotlib/colorbar.py | 6010bb43ed01c48c7c403569dd210490b236a853 | matplotlib | 1 |
|
133,252 | 9 | 8 | 21 | 30 | 4 | 0 | 9 | 23 | test_failure_during_resize | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | https://github.com/ray-project/ray.git | def test_failure_during_resize(ray_start_2_cpus): # noqa: F811
if not dist.is_available():
return
| 98 | test_torch_failure.py | Python | python/ray/util/sgd/tests/test_torch_failure.py | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | ray | 2 |
|
22,083 | 26 | 13 | 11 | 109 | 9 | 0 | 39 | 116 | dispatch_hook | Rename notpip to pip. Vendor in pip-22.2.1 and latest requirementslib and vistir. | https://github.com/pypa/pipenv.git | def dispatch_hook(key, hooks, hook_data, **kwargs):
hooks = hooks or {}
hooks = hooks.get(key)
if hooks:
if hasattr(hooks, "__call__"):
hooks = [hooks]
for hook in hooks:
_hook_data = hook(hook_data, **kwargs)
if _hook_data is not None:
hook_data = _hook_data
return hook_data
| 68 | hooks.py | Python | pipenv/patched/pip/_vendor/requests/hooks.py | cd5a9683be69c86c8f3adcd13385a9bc5db198ec | pipenv | 6 |
|
42,539 | 44 | 12 | 12 | 139 | 14 | 0 | 55 | 179 | frame_by_id | Docstring tests (#3050)
* fixed pytests
* fixed more pytests
* fixed more pytest and changed multiline pytest issues fixes for snowball.py and causal.py
* fixed pytests (mainly multiline or rounding issues)
* fixed treebank pytests, removed test for return_string=True (deprecated)
* fixed destructive.py pytests, removed test for return_string=True (deprecated)
* fixed pytest (rounding issues)
* fixed pytest (initialised missing object)
* fixed pytest (formatting issues)
* fixed pytest (formatting issues)
* fixed pytest (formatting issues)
* added pytest +SKIP for deprecated module stanford
* updated AUTHORS.md
* changed docstring corrections by usage of ELLIPSIS and different roundings
* fixed AUTHORS.md to be consistent
* Fix framenet doctest formatting with pprint
* Change docstring on MultiListBox.__init__
I believe the original typo was misinterpreted and changed to something that was not originally intended.
Co-authored-by: Jan Lennartz <[email protected]>
Co-authored-by: Tom Aarsen <[email protected]>
Co-authored-by: Tom Aarsen <[email protected]> | https://github.com/nltk/nltk.git | def frame_by_id(self, fn_fid, ignorekeys=[]):
# get the name of the frame with this id number
try:
fentry = self._frame_idx[fn_fid]
if "_type" in fentry:
return fentry # full frame object is cached
name = fentry["name"]
except TypeError:
self._buildframeindex()
name = self._frame_idx[fn_fid]["name"]
except KeyError as e:
raise FramenetError(f"Unknown frame id: {fn_fid}") from e
return self.frame_by_name(name, ignorekeys, check_cache=False)
| 81 | framenet.py | Python | nltk/corpus/reader/framenet.py | 8a4cf5d94eb94b6427c5d1d7907ba07b119932c5 | nltk | 4 |
|
45,477 | 11 | 12 | 4 | 85 | 12 | 0 | 11 | 31 | downgrade | Autogenerate migration reference doc (#21601)
* document airflow version in each alembic migration module and use this to autogen the doc
* update each migration module to have the same description used in migration ref (so it can be used in autogen) | https://github.com/apache/airflow.git | def downgrade():
with op.batch_alter_table('connection') as batch_op:
batch_op.drop_constraint(constraint_name="unique_conn_id", type_="unique")
batch_op.alter_column("conn_id", nullable=True, existing_type=sa.String(250))
| 46 | 8d48763f6d53_add_unique_constraint_to_conn_id.py | Python | airflow/migrations/versions/8d48763f6d53_add_unique_constraint_to_conn_id.py | 69f6f9e01b6df76c3c8fa266d460324163957887 | airflow | 1 |
|
288,953 | 8 | 7 | 3 | 31 | 4 | 0 | 8 | 22 | serial | Add button entities for Lutron Caseta/RA3/HWQSX (#79963)
Co-authored-by: J. Nick Koston <[email protected]> | https://github.com/home-assistant/core.git | def serial(self) -> int | None:
return self._device["serial"]
| 17 | __init__.py | Python | homeassistant/components/lutron_caseta/__init__.py | 82322e3804af9cac55c6bea106f4bb0faff4c298 | core | 1 |
|
304,022 | 10 | 10 | 3 | 45 | 6 | 0 | 10 | 24 | async_discovered_devices | Rework bluetooth to support scans from multiple sources (#76900) | https://github.com/home-assistant/core.git | def async_discovered_devices(self) -> list[BLEDevice]:
return [history[0] for history in self.history.values()]
| 28 | manager.py | Python | homeassistant/components/bluetooth/manager.py | 3bcc274dfa90d7d3c01ace83137c46a0898c107f | core | 2 |
|
247,637 | 17 | 10 | 9 | 143 | 9 | 0 | 21 | 77 | test_callback_error | Add type hints to some tests/handlers files. (#12224) | https://github.com/matrix-org/synapse.git | def test_callback_error(self) -> None:
request = Mock(args={})
request.args[b"error"] = [b"invalid_client"]
self.get_success(self.handler.handle_oidc_callback(request))
self.assertRenderedError("invalid_client", "")
request.args[b"error_description"] = [b"some description"]
self.get_success(self.handler.handle_oidc_callback(request))
self.assertRenderedError("invalid_client", "some description")
| 83 | test_oidc.py | Python | tests/handlers/test_oidc.py | 5dd949bee6158a8b651db9f2ae417a62c8184bfd | synapse | 1 |
|
126,136 | 2 | 6 | 19 | 13 | 2 | 0 | 2 | 5 | test_checkpoint_success_by_http | [workflow] http_event_provider and accompanied listener (#26010)
### Why are these changes needed?
This PR enhances workflow functionality to receive external events from a Serve based HTTP endpoint. A workflow can then consume events asynchronously as they arrive.
### Design Logic
A `workflow.wait_for_event` node subscribes to the endpoint instantiated by a Ray Serve deployment of class `http_event_provider.HTTPEventProvider`. The subscription is made through a helper class `http_event_provider.HTTPListener`. `HTTPListener` implements the methods of `EventListener` to poll from and confirm event checkpointing to `HTTPEventProvider`, before `HTTPEventProvider`acknowledges success or error to the event submitter.
### Architecture Improvement
The logic of this enhancement conforms with existing workflow runtime design. | https://github.com/ray-project/ray.git | def test_checkpoint_success_by_http(workflow_start_regular_shared_serve):
| 101 | test_http_events_3.py | Python | python/ray/workflow/tests/test_http_events_3.py | 659d25a3a9c4794db9dbe8f428ec587470b261b0 | ray | 4 |
|
187,140 | 21 | 15 | 25 | 231 | 14 | 0 | 38 | 140 | test_url | plugin.api.validate: implement ValidationError
- Implement `ValidationError`
- Inherit from `ValueError` to preserve backwards compatiblity
- Allow collecting multiple errors (AnySchema)
- Keep an error stack of parent `ValidationError`s or other exceptions
- Format error stack when converting error to string
- Raise `ValidationError` instead of `ValueError`
- Add error contexts where it makes sense
- Add schema names to error instances
- Add and update tests | https://github.com/streamlink/streamlink.git | def test_url(self):
url_ = "https://google.se/path"
assert validate(url(), url_)
assert validate(url(scheme="http"), url_)
assert validate(url(path="/path"), url_)
with self.assertRaises(ValueError) as cm:
validate(url(), "foo")
assert_validationerror(cm.exception, )
with self.assertRaises(ValueError) as cm:
validate(url(foo="bar"), "https://foo")
assert_validationerror(cm.exception, )
with self.assertRaises(ValueError) as cm:
validate(url(path=endswith(".m3u8")), "https://foo/bar.mpd")
assert_validationerror(cm.exception, )
| 128 | test_api_validate.py | Python | tests/test_api_validate.py | 3d44da082b3ba202b9d0557bfd8ce747a1d7960c | streamlink | 1 |
|
267,457 | 13 | 6 | 34 | 25 | 5 | 0 | 13 | 33 | find_matches | ansible-galaxy - support resolvelib versions >= 0.5.3, < 0.9.0 (#77649)
* ansible-galaxy - support resolvelib versions >= 0.5.3, <= 0.8.1
Test incompatibilities are removed for resolvelib >= 0.6.0
Test against the latest 0.8.x version and fix requirements
* Fix tests - use a venv for testing the range of resolvelib versions
* Update temporary hardcoded fallback for ansible-test
* Update hardcoded upperbound for sanity tests
* Make error check more flexible | https://github.com/ansible/ansible.git | def find_matches(self, *args, **kwargs):
# type: (t.Any, t.Any) -> list[Candidate]
r
raise NotImplementedError
| 15 | providers.py | Python | lib/ansible/galaxy/dependency_resolution/providers.py | 143e7fb45e7b916fa973613000e97ee889f5666c | ansible | 1 |
|
246,021 | 136 | 15 | 98 | 755 | 58 | 0 | 243 | 1,189 | test_backfill_floating_outlier_membership_auth | Refactor the way we set `outlier` (#11634)
* `_auth_and_persist_outliers`: mark persisted events as outliers
Mark any events that get persisted via `_auth_and_persist_outliers` as, well,
outliers.
Currently this will be a no-op as everything will already be flagged as an
outlier, but I'm going to change that.
* `process_remote_join`: stop flagging as outlier
The events are now flagged as outliers later on, by `_auth_and_persist_outliers`.
* `send_join`: remove `outlier=True`
The events created here are returned in the result of `send_join` to
`FederationHandler.do_invite_join`. From there they are passed into
`FederationEventHandler.process_remote_join`, which passes them to
`_auth_and_persist_outliers`... which sets the `outlier` flag.
* `get_event_auth`: remove `outlier=True`
stop flagging the events returned by `get_event_auth` as outliers. This method
is only called by `_get_remote_auth_chain_for_event`, which passes the results
into `_auth_and_persist_outliers`, which will flag them as outliers.
* `_get_remote_auth_chain_for_event`: remove `outlier=True`
we pass all the events into `_auth_and_persist_outliers`, which will now flag
the events as outliers.
* `_check_sigs_and_hash_and_fetch`: remove unused `outlier` parameter
This param is now never set to True, so we can remove it.
* `_check_sigs_and_hash_and_fetch_one`: remove unused `outlier` param
This is no longer set anywhere, so we can remove it.
* `get_pdu`: remove unused `outlier` parameter
... and chase it down into `get_pdu_from_destination_raw`.
* `event_from_pdu_json`: remove redundant `outlier` param
This is never set to `True`, so can be removed.
* changelog
* update docstring | https://github.com/matrix-org/synapse.git | def test_backfill_floating_outlier_membership_auth(self):
OTHER_SERVER = "otherserver"
OTHER_USER = "@otheruser:" + OTHER_SERVER
# create the room
user_id = self.register_user("kermit", "test")
tok = self.login("kermit", "test")
room_id = self.helper.create_room_as(
room_creator=user_id,
is_public=True,
tok=tok,
extra_content={
"preset": "public_chat",
},
)
room_version = self.get_success(self.store.get_room_version(room_id))
prev_event_ids = self.get_success(self.store.get_prev_events_for_room(room_id))
(
most_recent_prev_event_id,
most_recent_prev_event_depth,
) = self.get_success(self.store.get_max_depth_of(prev_event_ids))
# mapping from (type, state_key) -> state_event_id
prev_state_map = self.get_success(
self.state_store.get_state_ids_for_event(most_recent_prev_event_id)
)
# List of state event ID's
prev_state_ids = list(prev_state_map.values())
auth_event_ids = prev_state_ids
auth_events = list(
self.get_success(self.store.get_events(auth_event_ids)).values()
)
# build a floating outlier member state event
fake_prev_event_id = "$" + random_string(43)
member_event_dict = {
"type": EventTypes.Member,
"content": {
"membership": "join",
},
"state_key": OTHER_USER,
"room_id": room_id,
"sender": OTHER_USER,
"depth": most_recent_prev_event_depth,
"prev_events": [fake_prev_event_id],
"origin_server_ts": self.clock.time_msec(),
"signatures": {OTHER_SERVER: {"ed25519:key_version": "SomeSignatureHere"}},
}
builder = self.hs.get_event_builder_factory().for_room_version(
room_version, member_event_dict
)
member_event = self.get_success(
builder.build(
prev_event_ids=member_event_dict["prev_events"],
auth_event_ids=self._event_auth_handler.compute_auth_events(
builder,
prev_state_map,
for_verification=False,
),
depth=member_event_dict["depth"],
)
)
# Override the signature added from "test" homeserver that we created the event with
member_event.signatures = member_event_dict["signatures"]
# Add the new member_event to the StateMap
prev_state_map[
(member_event.type, member_event.state_key)
] = member_event.event_id
auth_events.append(member_event)
# build and send an event authed based on the member event
message_event_dict = {
"type": EventTypes.Message,
"content": {},
"room_id": room_id,
"sender": OTHER_USER,
"depth": most_recent_prev_event_depth,
"prev_events": prev_event_ids.copy(),
"origin_server_ts": self.clock.time_msec(),
"signatures": {OTHER_SERVER: {"ed25519:key_version": "SomeSignatureHere"}},
}
builder = self.hs.get_event_builder_factory().for_room_version(
room_version, message_event_dict
)
message_event = self.get_success(
builder.build(
prev_event_ids=message_event_dict["prev_events"],
auth_event_ids=self._event_auth_handler.compute_auth_events(
builder,
prev_state_map,
for_verification=False,
),
depth=message_event_dict["depth"],
)
)
# Override the signature added from "test" homeserver that we created the event with
message_event.signatures = message_event_dict["signatures"]
# Stub the /event_auth response from the OTHER_SERVER | 523 | test_federation.py | Python | tests/handlers/test_federation.py | 0fb3dd0830e476c0e0b89c3bf6c7855a4129ff11 | synapse | 1 |
|
288,874 | 34 | 19 | 25 | 168 | 23 | 0 | 37 | 308 | test_meross_mss565_setup | Migrate HomeKit Controller to use stable identifiers (#80064) | https://github.com/home-assistant/core.git | async def test_meross_mss565_setup(hass):
accessories = await setup_accessories_from_file(hass, "mss565.json")
await setup_test_accessories(hass, accessories)
await assert_devices_and_entities_created(
hass,
DeviceTestInfo(
unique_id=HUB_TEST_ACCESSORY_ID,
name="MSS565-28da",
model="MSS565",
manufacturer="Meross",
sw_version="4.1.9",
hw_version="4.0.0",
serial_number="BB1121",
devices=[],
entities=[
EntityTestInfo(
entity_id="light.mss565_28da_dimmer_switch",
friendly_name="MSS565-28da Dimmer Switch",
unique_id="00:00:00:00:00:00_1_12",
capabilities={"supported_color_modes": ["brightness"]},
state=STATE_ON,
),
],
),
)
| 100 | test_mss565.py | Python | tests/components/homekit_controller/specific_devices/test_mss565.py | f23b1750e85f07091eb896a0b12b8f95e5646338 | core | 1 |
|
276,934 | 47 | 10 | 7 | 137 | 14 | 0 | 58 | 121 | test_similar_matrices | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def test_similar_matrices(self, exact_kernel_fn, expected_values):
x = tf.constant([1.0, 3.4, -2.1, 0.9, 3.3, -2.0], shape=[2, 3])
y = tf.constant([1.1, 3.35, -2.05])
exact_kernel = exact_kernel_fn(x, y)
shape = exact_kernel.shape.as_list()
self.assertLen(shape, 2)
# The 2 rows of x are close to y. The pairwise kernel values (similarity
# scores) are somewhat close to the identity value of the kernel.
self.assertAllClose(expected_values, exact_kernel, atol=1e-2)
| 112 | kernelized_utils_test.py | Python | keras/utils/kernelized_utils_test.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 |
|
154,387 | 33 | 17 | 13 | 134 | 21 | 0 | 39 | 120 | trigger_import | FEAT-#4913: Enabling pyhdk (#4900)
Co-authored-by: ienkovich <[email protected]>
Signed-off-by: izamyati <[email protected]> | https://github.com/modin-project/modin.git | def trigger_import(*dfs):
if ASV_USE_STORAGE_FORMAT != "omnisci" or ASV_USE_IMPL == "pandas":
return
from modin.experimental.core.execution.native.implementations.omnisci_on_native.db_worker import (
DbWorker,
)
for df in dfs:
df.shape # to trigger real execution
df._query_compiler._modin_frame._partitions[0][
0
].frame_id = DbWorker().import_arrow_table(
df._query_compiler._modin_frame._partitions[0][0].get()
) # to trigger real execution
| 86 | common.py | Python | asv_bench/benchmarks/utils/common.py | 1c0935c1bc0856d43f69c1e32498636ee24ebc85 | modin | 4 |
|
10,901 | 16 | 10 | 11 | 95 | 11 | 0 | 22 | 119 | wait_start_success | refactor: rename pod to deployment (#4230)
* refactor: rename pod to deployment
* style: fix overload and cli autocomplete
* fix: undo daemon mistake
* refactor: leftover cleanup
* fix: more test fixes
* fix: more fixes
* fix: more fixes
* fix: more fixes
* fix: more tests
* fix: fix more tests
* refactor: fix more tests
* refactor: more tests fixes
* refactor: rename pea to pod
* refactor: adjust docs
* refactor: complete pea renaming
* refactor: more fixes
* fix: pea_type in k8s yamls
* fix: adjust pod args name
* refactor: rename peapods parser folder
* fix: da init
Co-authored-by: Jina Dev Bot <[email protected]> | https://github.com/jina-ai/jina.git | def wait_start_success(self):
_timeout = self.args.timeout_ready
if _timeout <= 0:
_timeout = None
else:
_timeout /= 1e3
if self._wait_for_ready_or_shutdown(_timeout):
self._check_failed_to_start()
self.logger.debug(__ready_msg__)
else:
self._fail_start_timeout(_timeout)
| 56 | __init__.py | Python | jina/orchestrate/pods/__init__.py | 13edc16d806fb5d77a6849551178ccc75937f25f | jina | 3 |
|
165,734 | 5 | 7 | 2 | 22 | 4 | 0 | 5 | 19 | _maybe_convert_setitem_value | REF: move ArrowStringArray.__setitem__ and related methods to ArrowExtensionArray (#46439) | https://github.com/pandas-dev/pandas.git | def _maybe_convert_setitem_value(self, value):
raise NotImplementedError()
| 12 | _mixins.py | Python | pandas/core/arrays/_mixins.py | 2d6a2c3e981208bf67bdd36cca726e8a399e487c | pandas | 1 |
|
101,754 | 62 | 13 | 27 | 231 | 25 | 0 | 80 | 336 | __call__ | Alignments Tool updates
- Copy info back to alignments file from faces | https://github.com/deepfakes/faceswap.git | def __call__(self) -> bool:
for meta in tqdm(self._face_alignments,
desc="Updating Alignments File from PNG Header",
leave=False):
src = meta["source"]
alignment = meta["alignments"]
if not any(alignment.get(key, {}) for key in self._updatable_keys):
continue
faces = self._alignments.get_faces_in_frame(src["source_filename"])
if len(faces) < src["face_index"] + 1: # list index out of range
logger.debug("Skipped face '%s'. Index does not exist in alignments file",
src["original_filename"])
continue
face = faces[src["face_index"]]
self._check_and_update(alignment, face)
retval = False
if self._counts:
retval = True
logger.info("Updated alignments file from PNG Data: %s", self._counts)
return retval
| 138 | jobs_faces.py | Python | tools/alignments/jobs_faces.py | c79175cbde5600bebd65785f3821fc74b3a80cbe | faceswap | 6 |
|
144,345 | 13 | 8 | 3 | 53 | 10 | 0 | 13 | 34 | _bind | [Ray DAG] Implement experimental Ray DAG API for task/class (#22058) | https://github.com/ray-project/ray.git | def _bind(self, *args, **kwargs):
from ray.experimental.dag.function_node import FunctionNode
return FunctionNode(self._function, args, kwargs, {})
| 36 | remote_function.py | Python | python/ray/remote_function.py | c065e3f69ec248383d98b45a8d1c00832ccfdd57 | ray | 1 |
|
153,577 | 13 | 7 | 4 | 35 | 4 | 0 | 15 | 44 | pop | DOCS-#3099: Fix `BasePandasDataSet` docstrings warnings (#4333)
Co-authored-by: Yaroslav Igoshev <[email protected]>
Signed-off-by: Alexander Myskov <[email protected]> | https://github.com/modin-project/modin.git | def pop(self, item): # noqa: PR01, RT01, D200
result = self[item]
del self[item]
return result
| 21 | base.py | Python | modin/pandas/base.py | 605efa618e7994681f57b11d04d417f353ef8d50 | modin | 1 |
|
294,496 | 30 | 12 | 15 | 95 | 11 | 0 | 40 | 153 | connect_with_error_handling | Add config flow to fibaro (#65203)
Co-authored-by: J. Nick Koston <[email protected]> | https://github.com/home-assistant/core.git | def connect_with_error_handling(self) -> None:
try:
connected = self.connect()
if not connected:
raise FibaroConnectFailed("Connect status is false")
except HTTPException as http_ex:
if http_ex.details == "Forbidden":
raise FibaroAuthFailed from http_ex
raise FibaroConnectFailed from http_ex
except Exception as ex:
raise FibaroConnectFailed from ex
| 55 | __init__.py | Python | homeassistant/components/fibaro/__init__.py | e844c2380a2f970377bb4481bf3f6abe50ea006b | core | 5 |
|
128,303 | 10 | 9 | 5 | 42 | 5 | 0 | 11 | 43 | normalized_base_dir | [Datasets] Add `partitioning` parameter to `read_` functions (#28413) | https://github.com/ray-project/ray.git | def normalized_base_dir(self) -> str:
if self._normalized_base_dir is None:
self._normalize_base_dir()
return self._normalized_base_dir
| 24 | partitioning.py | Python | python/ray/data/datasource/partitioning.py | c3ff77f5a13395631a2af580ea4429ceb5dfea13 | ray | 2 |
|
208,102 | 15 | 10 | 4 | 78 | 12 | 0 | 18 | 47 | test_group_lone | Canvas Header Stamping (#7384)
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with groups.
* Successfully pass single group to result.
* _freeze_gid dict merge fixed
* First draft of the visitor API.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* OptionsVisitor created
* Fixed canvas.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test for simple test for chord and fixed chord implementation
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixed lint and elements
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* type -> isinstance
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Redo header stamping (#7341)
* _freeze_gid dict merge fixed
* OptionsVisitor created
* Fixed canvas.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test for simple test for chord and fixed chord implementation
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Fixed lint and elements
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* type -> isinstance
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Omer Katz <[email protected]>
* Added stamping mechanism
* Manual stamping improved
* flake8 fixed
* Added subtests
* Add comma.
* Moved groups to stamps
* Fixed chord and added test for that
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with groups.
* Successfully pass single group to result.
* _freeze_gid dict merge fixed
* First draft of the visitor API.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* OptionsVisitor created
* Fixed canvas.py
* Added test for simple test for chord and fixed chord implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Changed _IMMUTABLE_OPTIONS
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed chord interface
* Fixed list order
* Fixed tests (stamp test and chord test), fixed order in groups
* Fixed lint and elements
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Changed implementation of stamp API and fix lint
* Added documentation to Stamping API. Added chord with groups test
* Implemented stamping inside replace and added test for an implementation
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Added test additonal tests for chord, improved coverage
* Splitted into subtests
* Group stamping rollback
* group.id is None fixed
* Added integration test
* Added integration test
* apply_async fixed
* Integration test and test_chord fixed
* Lint fixed
* chord freeze fixed
* Minor fixes.
* Chain apply_async fixed and tests fixed
* lint fixed
* Added integration test for chord
* type -> isinstance
* Added stamping mechanism
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* Manual stamping improved
* fail_ci_if_error uncommented
* flake8 fixed
* Added subtests
* Changes
* Add comma.
* Fixed chord and added test for that
* canvas.py fixed
* Test chord.py fixed
* Fixed stamped_headers
* collections import fixed
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* collections import fixed
* Update celery/backends/base.py
Co-authored-by: Omer Katz <[email protected]>
* ampq.py fixed
* Refrain from using deprecated import path.
* Fix test_complex_chain regression.
Whenever we stamp a group we need to freeze it first if it wasn't already frozen.
Somewhere along the line, the group id changed because we were freezing twice.
This commit places the stamping operation after preparing the chain's steps which fixes the problem somehow.
We don't know why yet.
* Fixed integration tests
* Fixed integration tests
* Fixed integration tests
* Fixed integration tests
* Fixed issues with maybe_list. Add documentation
* Fixed potential issue with integration tests
* Fixed issues with _regen
* Fixed issues with _regen
* Fixed test_generator issues
* Fixed _regen stamping
* Fixed _regen stamping
* Fixed TimeOut issue
* Fixed TimeOut issue
* Fixed TimeOut issue
* Update docs/userguide/canvas.rst
Co-authored-by: Omer Katz <[email protected]>
* Fixed Couchbase
* Better stamping intro
* New GroupVisitor example
* Adjust documentation.
Co-authored-by: Naomi Elstein <[email protected]>
Co-authored-by: Omer Katz <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Asif Saif Uddin <[email protected]>
Co-authored-by: Omer Katz <[email protected]> | https://github.com/celery/celery.git | def test_group_lone(self, manager):
sig = group(identity.s(42), identity.s(42)) # [42, 42]
res = sig.delay()
assert res.get(timeout=TIMEOUT) == [42, 42]
| 48 | test_canvas.py | Python | t/integration/test_canvas.py | 1c4ff33bd22cf94e297bd6449a06b5a30c2c1fbc | celery | 1 |
|
100,422 | 28 | 13 | 12 | 129 | 14 | 0 | 45 | 175 | process_arguments | Update code to support Tensorflow versions up to 2.8 (#1213)
* Update maximum tf version in setup + requirements
* - bump max version of tf version in launcher
- standardise tf version check
* update keras get_custom_objects for tf>2.6
* bugfix: force black text in GUI file dialogs (linux)
* dssim loss - Move to stock tf.ssim function
* Update optimizer imports for compatibility
* fix logging for tf2.8
* Fix GUI graphing for TF2.8
* update tests
* bump requirements.txt versions
* Remove limit on nvidia-ml-py
* Graphing bugfixes
- Prevent live graph from displaying if data not yet available
* bugfix: Live graph. Collect loss labels correctly
* fix: live graph - swallow inconsistent loss errors
* Bugfix: Prevent live graph from clearing during training
* Fix graphing for AMD | https://github.com/deepfakes/faceswap.git | def process_arguments(self):
args = [arg for arg in sys.argv] # pylint:disable=unnecessary-comprehension
if self.updater:
from lib.utils import get_backend # pylint:disable=import-outside-toplevel
args.append(f"--{get_backend()}")
for arg in args:
if arg == "--installer":
self.is_installer = True
if arg == "--nvidia":
self.enable_cuda = True
if arg == "--amd":
self.enable_amd = True
| 70 | setup.py | Python | setup.py | c1512fd41d86ef47a5d1ce618d6d755ef7cbacdf | faceswap | 7 |
|
216,262 | 67 | 14 | 60 | 464 | 16 | 0 | 118 | 818 | test_network_grains_secondary_ip | Filter secondary IP address by type (#61434)
* Add filter for secondary ip addresses
Should improve #61370
* Remove unnecessary space
* Add test case for secondary IP address
Test data for IPv6 secondary IP looks wrong but this is what _interfaces_ip() could return looking at the current code
* Change order of tests because of caching issues
Change order of test_network_grains_secondary_ip and test_network_grains_cache because of caching issues when running after test_network_grains_cache
* Unify style in _interfaces_ip
Unify coding style in _interfaces_ip for secondary ip addresses with the style for regular addresses. Also align the attributes for IPv6 secondary ip addresses with regular ipv6 addresses
* Align IPv6 secondary IP attributes with changes to _interfaces_ip
* Add changelog for fix of issue 61370
* Use salt.loader.grain_funcs for secondary ip test
To work around caching issues when changing order of test_network_grains_cache and test_network_grains_secondary_ip use use salt.loader.grain_funcs in both functions. Also we hope this solves the issue, that this test worked in my local dev environment but not on the saltstack jenkins instances.
* Use side_effect to simulate test data
I don't understand what is different when these tests are run on the Jenkins infrastructure. Hope copying this from test_network_grains_cache make the tests work on them.
* Changed checking for secondaryip address type
* Add filter for secondary ip addresses
Should improve #61370
* Remove unnecessary space
* Add test case for secondary IP address
Test data for IPv6 secondary IP looks wrong but this is what _interfaces_ip() could return looking at the current code
* Change order of tests because of caching issues
Change order of test_network_grains_secondary_ip and test_network_grains_cache because of caching issues when running after test_network_grains_cache
* Unify style in _interfaces_ip
Unify coding style in _interfaces_ip for secondary ip addresses with the style for regular addresses. Also align the attributes for IPv6 secondary ip addresses with regular ipv6 addresses
* Align IPv6 secondary IP attributes with changes to _interfaces_ip
* Add changelog for fix of issue 61370
* Use salt.loader.grain_funcs for secondary ip test
To work around caching issues when changing order of test_network_grains_cache and test_network_grains_secondary_ip use use salt.loader.grain_funcs in both functions. Also we hope this solves the issue, that this test worked in my local dev environment but not on the saltstack jenkins instances.
* Use side_effect to simulate test data
I don't understand what is different when these tests are run on the Jenkins infrastructure. Hope copying this from test_network_grains_cache make the tests work on them.
* Changed checking for secondaryip address type
* Satisfy black code formatting
Co-authored-by: Shane Lee <[email protected]>
Co-authored-by: mayrstefan <[email protected]> | https://github.com/saltstack/salt.git | def test_network_grains_secondary_ip(tmp_path):
data = {
"wlo1": {
"up": True,
"hwaddr": "29:9f:9f:e9:67:f4",
"inet": [
{
"address": "172.16.13.85",
"netmask": "255.255.248.0",
"broadcast": "172.16.15.255",
"label": "wlo1",
}
],
"inet6": [
{
"address": "2001:4860:4860::8844",
"prefixlen": "64",
"scope": "fe80::6238:e0ff:fe06:3f6b%enp2s0",
}
],
"secondary": [
{
"type": "inet",
"address": "172.16.13.86",
"netmask": "255.255.248.0",
"broadcast": "172.16.15.255",
"label": "wlo1",
},
{
"type": "inet6",
"address": "2001:4860:4860::8888",
"prefixlen": "64",
"scope": "fe80::6238:e0ff:fe06:3f6b%enp2s0",
},
],
}
}
cache_dir = tmp_path / "cache"
extmods = tmp_path / "extmods"
opts = {
"cachedir": str(cache_dir),
"extension_modules": str(extmods),
"optimization_order": [0],
}
with patch("salt.utils.network.interfaces", side_effect=[data]):
grains = salt.loader.grain_funcs(opts)
ret_ip4 = grains["core.ip4_interfaces"]()
assert ret_ip4["ip4_interfaces"]["wlo1"] == ["172.16.13.85", "172.16.13.86"]
ret_ip6 = grains["core.ip6_interfaces"]()
assert ret_ip6["ip6_interfaces"]["wlo1"] == [
"2001:4860:4860::8844",
"2001:4860:4860::8888",
]
ret_ip = grains["core.ip_interfaces"]()
assert ret_ip["ip_interfaces"]["wlo1"] == [
"172.16.13.85",
"2001:4860:4860::8844",
"172.16.13.86",
"2001:4860:4860::8888",
]
| 239 | test_core.py | Python | tests/pytests/unit/grains/test_core.py | 75c0cb7181d14f780b24ee5dd126f2836730053b | salt | 1 |
|
294,005 | 60 | 13 | 20 | 180 | 19 | 0 | 91 | 274 | async_press | Add update platform to WLED (#68454)
* Add update platform to WLED
* Copy pasta fixes
* Apply suggestions from code review
Co-authored-by: Martin Hjelmare <[email protected]>
* Update tests/components/wled/test_update.py
Co-authored-by: Martin Hjelmare <[email protected]>
* Fix tests
Co-authored-by: Martin Hjelmare <[email protected]> | https://github.com/home-assistant/core.git | async def async_press(self) -> None:
LOGGER.warning(
"The WLED update button '%s' is deprecated, please "
"use the new update entity as a replacement",
self.entity_id,
)
current = self.coordinator.data.info.version
beta = self.coordinator.data.info.version_latest_beta
stable = self.coordinator.data.info.version_latest_stable
# If we already run a pre-release, allow update to a newer
# pre-release or newer stable, otherwise, offer a normal stable updates.
version = stable
if (
current is not None
and beta is not None
and (current.alpha or current.beta or current.release_candidate)
and beta > current
and beta > stable
):
version = beta
await self.coordinator.wled.upgrade(version=str(version))
| 110 | button.py | Python | homeassistant/components/wled/button.py | 40d4495ed098624a1f0816357b260bd8a298d969 | core | 8 |
|
138,162 | 53 | 15 | 28 | 259 | 32 | 0 | 66 | 446 | profile_events | [core][state] Task events backend - port profile events and turn on task backend [4/n] (#31207) | https://github.com/ray-project/ray.git | def profile_events(self):
self._check_connected()
result = defaultdict(list)
task_events = self.global_state_accessor.get_task_events()
for i in range(len(task_events)):
event = gcs_utils.TaskEvents.FromString(task_events[i])
profile = event.profile_events
if not profile:
continue
component_type = profile.component_type
component_id = binary_to_hex(profile.component_id)
node_ip_address = profile.node_ip_address
for event in profile.events:
try:
extra_data = json.loads(event.extra_data)
except ValueError:
extra_data = {}
profile_event = {
"event_type": event.event_name,
"component_id": component_id,
"node_ip_address": node_ip_address,
"component_type": component_type,
"start_time": event.start_time,
"end_time": event.end_time,
"extra_data": extra_data,
}
result[component_id].append(profile_event)
return dict(result)
| 156 | state.py | Python | python/ray/_private/state.py | 53f68cd4d6b36965dddf9409015cba8ba313da2f | ray | 5 |
|
128,881 | 2 | 6 | 8 | 13 | 2 | 0 | 2 | 5 | test_torch_amp_with_custom_get_state | [AIR] Hard deprecate old Trainer, old callbacks (#29015)
Hard deprecations for ray.train.Trainer, ray.train.callbacks and ray.train.checkpoint.CheckpointStrategy. Restart-on-failure logic from BackendExecutor has also been removed as it is superseded by Tune.
Some tests have been refactored to use the new API. Tests that are no longer applicable have been removed.
Signed-off-by: Antoni Baum <[email protected]>
Signed-off-by: Amog Kamsetty <[email protected]>
Co-authored-by: Amog Kamsetty <[email protected]> | https://github.com/ray-project/ray.git | def test_torch_amp_with_custom_get_state(ray_start_4_cpus):
| 35 | test_torch_trainer.py | Python | python/ray/train/tests/test_torch_trainer.py | d99eff919bf785f911e4eebc87ddc4960344a139 | ray | 1 |
|
250,103 | 53 | 11 | 30 | 239 | 17 | 0 | 80 | 268 | test_chain_of_fail_cleanup | Require types in tests.storage. (#14646)
Adds missing type hints to `tests.storage` package
and does not allow untyped definitions. | https://github.com/matrix-org/synapse.git | def test_chain_of_fail_cleanup(self) -> None:
# Create the room graph
event_id_a = self.create_and_send_event(self.room_id, self.user)
event_id_sf1 = self.create_and_send_event(
self.room_id, self.user, True, [event_id_a]
)
event_id_sf2 = self.create_and_send_event(
self.room_id, self.user, True, [event_id_sf1]
)
event_id_b = self.create_and_send_event(
self.room_id, self.user, False, [event_id_sf2]
)
# Add the new extremity and check the latest events are as expected
self.add_extremity(self.room_id, event_id_a)
latest_event_ids = self.get_success(
self.store.get_latest_event_ids_in_room(self.room_id)
)
self.assertEqual(set(latest_event_ids), {event_id_a, event_id_b})
# Run the background update and check it did the right thing
self.run_background_update()
latest_event_ids = self.get_success(
self.store.get_latest_event_ids_in_room(self.room_id)
)
self.assertEqual(latest_event_ids, [event_id_b])
| 156 | test_cleanup_extrems.py | Python | tests/storage/test_cleanup_extrems.py | 3ac412b4e2f8c5ba11dc962b8a9d871c1efdce9b | synapse | 1 |
|
287,669 | 8 | 6 | 3 | 25 | 5 | 0 | 8 | 22 | native_value | Link manually added MQTT entities the the MQTT config entry (#78547)
Co-authored-by: Erik <[email protected]> | https://github.com/home-assistant/core.git | def native_value(self) -> StateType | datetime:
return self._state
| 14 | sensor.py | Python | homeassistant/components/mqtt/sensor.py | dea221b155da483fc1901d054e2aec38aabf618b | core | 1 |
|
180,674 | 9 | 10 | 15 | 36 | 4 | 0 | 9 | 34 | create | Fix async tests (#2000)
* fix examples test
* formatting
* async examples
* working on mix
* comment out failing test
* fixed interface problem
* fixes | https://github.com/gradio-app/gradio.git | async def create(self) -> None:
if self.cache_examples:
await self.cache_interface_examples()
| 71 | examples.py | Python | gradio/examples.py | a424832ec119c490d5d1d2d7d635b4a7232dc77e | gradio | 4 |
|
30,249 | 8 | 8 | 8 | 27 | 3 | 0 | 8 | 14 | get_config_file | fixed arguments for frozen env
fixed pylint errors
fixed arguments
black
fixed argument parser for all scenarios
black
docs
black | https://github.com/spotDL/spotify-downloader.git | def get_config_file() -> Path:
return get_spotdl_path() / "config.json"
| 13 | config.py | Python | spotdl/utils/config.py | 773398048b7990ab58e2998fe4d15355f7998774 | spotify-downloader | 1 |
|
29,303 | 17 | 9 | 18 | 78 | 10 | 0 | 19 | 41 | _fetch_all_variants | Split test_product.py and test_variant.py into multiple files (#11173)
* Split test_product.py into multiple files
* Split test_variant.py into multiple files | https://github.com/saleor/saleor.git | def _fetch_all_variants(client, variables={}, permissions=None):
query =
response = client.post_graphql(
query, variables, permissions=permissions, check_no_permissions=False
)
content = get_graphql_content(response)
return content["data"]["productVariants"]
| 49 | test_product_variants_query.py | Python | saleor/graphql/product/tests/queries/test_product_variants_query.py | d90be220d6b687d08153934a51354011a3cb5ca1 | saleor | 1 |
|
322,151 | 111 | 16 | 46 | 596 | 64 | 0 | 166 | 546 | evaluate | Update neural search readme and Add Paddle Serving Support (#1558)
* add recall inference similarity
* update examples
* updatea readme
* update dir name
* update neural search readme
* update milvus readme
* update domain adaptive pretraining readme
* fix the mistakes
* update readme
* add recall Paddle Serving Support
* update readme
* update readme and format the code
* reformat the files
* move the files
* reformat the code
* remove redundant code
Co-authored-by: Zeyu Chen <[email protected]>
Co-authored-by: tianxin <[email protected]> | https://github.com/PaddlePaddle/PaddleNLP.git | def evaluate(model, criterion, data_loader, file_path, mode):
example_all = []
with open(file_path, "r", encoding="utf-8") as fp:
for line in fp:
example_all.append(json.loads(line))
id2spo_path = os.path.join(os.path.dirname(file_path), "id2spo.json")
with open(id2spo_path, 'r', encoding='utf8') as fp:
id2spo = json.load(fp)
model.eval()
loss_all = 0
eval_steps = 0
formatted_outputs = []
current_idx = 0
for batch in tqdm(data_loader, total=len(data_loader)):
eval_steps += 1
input_ids, seq_len, tok_to_orig_start_index, tok_to_orig_end_index, labels = batch
logits = model(input_ids=input_ids)
mask = (input_ids != 0).logical_and((input_ids != 1)).logical_and(
(input_ids != 2))
loss = criterion(logits, labels, mask)
loss_all += loss.numpy().item()
probs = F.sigmoid(logits)
logits_batch = probs.numpy()
seq_len_batch = seq_len.numpy()
tok_to_orig_start_index_batch = tok_to_orig_start_index.numpy()
tok_to_orig_end_index_batch = tok_to_orig_end_index.numpy()
formatted_outputs.extend(
decoding(example_all[current_idx:current_idx + len(logits)], id2spo,
logits_batch, seq_len_batch, tok_to_orig_start_index_batch,
tok_to_orig_end_index_batch))
current_idx = current_idx + len(logits)
loss_avg = loss_all / eval_steps
print("eval loss: %f" % (loss_avg))
if mode == "predict":
predict_file_path = os.path.join(args.data_path, 'predictions.json')
else:
predict_file_path = os.path.join(args.data_path, 'predict_eval.json')
predict_zipfile_path = write_prediction_results(formatted_outputs,
predict_file_path)
if mode == "eval":
precision, recall, f1 = get_precision_recall_f1(file_path,
predict_zipfile_path)
os.system('rm {} {}'.format(predict_file_path, predict_zipfile_path))
return precision, recall, f1
elif mode != "predict":
raise Exception("wrong mode for eval func")
| 365 | run_duie.py | Python | examples/information_extraction/DuIE/run_duie.py | 621357338437ee420eabbbf5ab19065bc85e73a5 | PaddleNLP | 6 |
|
313,222 | 51 | 13 | 28 | 259 | 27 | 0 | 69 | 213 | test_event_zones | Publish Nest Motion/Person events with optional user defined zone information (#66187)
Publish Nest events with zone information if present. User defined zones are configured
in the Google Home app, and are published with Motion/Person event. | https://github.com/home-assistant/core.git | async def test_event_zones(hass):
events = async_capture_events(hass, NEST_EVENT)
subscriber = await async_setup_devices(
hass,
"sdm.devices.types.DOORBELL",
create_device_traits(["sdm.devices.traits.CameraMotion"]),
)
registry = er.async_get(hass)
entry = registry.async_get("camera.front")
assert entry is not None
event_map = {
"sdm.devices.events.CameraMotion.Motion": {
"eventSessionId": EVENT_SESSION_ID,
"eventId": EVENT_ID,
"zones": ["Zone 1"],
},
}
timestamp = utcnow()
await subscriber.async_receive_event(create_events(event_map, timestamp=timestamp))
await hass.async_block_till_done()
event_time = timestamp.replace(microsecond=0)
assert len(events) == 1
assert event_view(events[0].data) == {
"device_id": entry.device_id,
"type": "camera_motion",
"timestamp": event_time,
"zones": ["Zone 1"],
}
| 150 | test_events.py | Python | tests/components/nest/test_events.py | b2f5ab200811c19284dea81ba298a4566fd87eda | core | 1 |
|
294,621 | 37 | 15 | 21 | 166 | 13 | 0 | 43 | 246 | test_frame_interval_property | Generic IP Camera configflow 2 (#52360)
Co-authored-by: J. Nick Koston <[email protected]> | https://github.com/home-assistant/core.git | async def test_frame_interval_property(hass, mock_av_open):
with mock_av_open:
await async_setup_component(
hass,
"camera",
{
"camera": {
"name": "config_test",
"platform": "generic",
"stream_source": "rtsp://example.com:554/rtsp/",
"framerate": 5,
},
},
)
await hass.async_block_till_done()
request = Mock()
with patch(
"homeassistant.components.camera.async_get_still_stream"
) as mock_get_stream:
await async_get_mjpeg_stream(hass, request, "camera.config_test")
assert mock_get_stream.call_args_list[0][0][3] == pytest.approx(0.2)
| 93 | test_camera.py | Python | tests/components/generic/test_camera.py | c1a2be72fc8b76b55cfde1823c5688100e397369 | core | 1 |
|
275,497 | 15 | 9 | 4 | 33 | 6 | 0 | 15 | 47 | _resource_apply_dense | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | https://github.com/keras-team/keras.git | def _resource_apply_dense(self, grad, handle, apply_state):
raise NotImplementedError(
"`_resource_apply_dense` must be implemented in " "subclasses."
)
| 18 | optimizer_v2.py | Python | keras/optimizers/optimizer_v2/optimizer_v2.py | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | keras | 1 |
|
136,345 | 6 | 6 | 7 | 21 | 3 | 0 | 6 | 20 | ping | [RLlib] Fault tolerant and elastic WorkerSets used across RLlib's algorithms (for sampling and evaluation). (#30118) | https://github.com/ray-project/ray.git | def ping(self) -> str:
return "pong"
| 10 | actor_manager.py | Python | rllib/utils/actor_manager.py | 76cb42c578adf19a70a6b4401098a7a21e0d3b29 | ray | 1 |
|
128,824 | 29 | 11 | 8 | 144 | 16 | 0 | 35 | 67 | list_changed_files | [ci] Fetch base branch before git diff in determine_tests_to_run.py (#29185)
Some PRs (e.g. #29064) only change a single file but trigger the full test suite. The reason is likely that we have a stale master head ref. By fetching the latest head, we should be able to see more accurate results here and avoid running too many tests.
Signed-off-by: Kai Fricke <[email protected]> | https://github.com/ray-project/ray.git | def list_changed_files(commit_range):
base_branch = os.environ.get("BUILDKITE_PULL_REQUEST_BASE_BRANCH")
if base_branch:
pull_command = ["git", "fetch", "origin", base_branch]
subprocess.check_call(pull_command)
command = ["git", "diff", "--name-only", commit_range, "--"]
out = subprocess.check_output(command)
return [s.strip() for s in out.decode().splitlines() if s is not None]
| 82 | determine_tests_to_run.py | Python | ci/pipeline/determine_tests_to_run.py | 31347c026e985e9baa438bdaa3159fb5cd7dea6c | ray | 4 |
|
213,050 | 40 | 14 | 13 | 203 | 21 | 0 | 58 | 181 | _get_method_path_uri_list | fix: Py27hash fix (#2182)
* Add third party py27hash code
* Add Py27UniStr and unit tests
* Add py27hash_fix utils and tests
* Add to_py27_compatible_template and tests
* Apply py27hash fix to wherever it is needed
* Apply py27hash fix, all tests pass except api_with_any_method_in_swagger
* apply py27hash fix in openapi + run black
* remove py27 testing
* remove other py27 references
* black fixes
* fixes/typos
* remove py27 from tox.ini
* refactoring
* third party notice
* black
* Fix py27hash fix to deal with null events
* Fix Py27UniStr repr for unicode literals
* black reformat
* Update _template_has_api_resource to check data type more defensively
* Apply py27Dict in _get_authorizers
* Apply Py27Dict to authorizers and gateway responses which will go into swagger
* Update to_py27_compatible_template to handle parameter_values; Add Py27LongInt class
* Rename _convert_to_py27_dict to _convert_to_py27_type
* Apply Py27UniStr to path param name
* Handle HttpApi resource under to_py27_compatible_template
* Fix InvalidDocumentException to not sort different exceptions
* black reformat
* Remove unnecessary test files
Co-authored-by: Wing Fung Lau <[email protected]> | https://github.com/aws/serverless-application-model.git | def _get_method_path_uri_list(self, path, stage):
methods = list(self.get_path(path).keys())
uri_list = []
path = SwaggerEditor.get_path_without_trailing_slash(path)
for m in methods:
method = "*" if (m.lower() == self._X_ANY_METHOD or m.lower() == "any") else m.upper()
resource = "execute-api:/${__Stage__}/" + method + path
resource = (
Py27UniStr(resource) if isinstance(method, Py27UniStr) or isinstance(path, Py27UniStr) else resource
)
resource = fnSub(resource, {"__Stage__": stage})
uri_list.extend([resource])
return uri_list
| 124 | swagger.py | Python | samtranslator/swagger/swagger.py | a5db070f446b7cfebdaa6ad2e3dcf78f6105a272 | serverless-application-model | 6 |
|
183,840 | 27 | 10 | 7 | 96 | 12 | 0 | 33 | 54 | test_stylesheet_apply_highest_specificity_wins_multiple_classes | Add various additional tests around CSS specificity | https://github.com/Textualize/textual.git | def test_stylesheet_apply_highest_specificity_wins_multiple_classes():
css = ".b.c {background: blue;} .a {background: red; color: lime;}"
stylesheet = _make_stylesheet(css)
node = DOMNode(classes="a b c")
stylesheet.apply(node)
assert node.styles.background == Color(0, 0, 255)
assert node.styles.color == Color(0, 255, 0)
| 58 | test_stylesheet.py | Python | tests/css/test_stylesheet.py | 4dd0d9fae43583638f34257f97d5749ca4f2c00c | textual | 1 |
|
48,737 | 10 | 11 | 6 | 115 | 10 | 0 | 15 | 65 | test_conflicting_specified_basename | raise ImproperlyConfigured exception if `basename` is not unique (#8438)
* raise ImproperlyConfigured if basename already exists
* rename already_registered function; return True/False
* additional basename tests
* additional basename tests
* Update rest_framework/routers.py
Co-authored-by: David Graves <[email protected]>
Co-authored-by: Asif Saif Uddin <[email protected]> | https://github.com/encode/django-rest-framework.git | def test_conflicting_specified_basename(self):
self.router.register(r'notes', NoteViewSet, basename='notes')
with pytest.raises(ImproperlyConfigured):
self.router.register(r'notes_kwduplicate', KWargedNoteViewSet, basename='notes')
with pytest.raises(ImproperlyConfigured):
self.router.register(r'notes_duplicate', KWargedNoteViewSet, basename='notes')
| 67 | test_routers.py | Python | tests/test_routers.py | 48a21aa0eb3a95d32456c2a927eff9552a04231e | django-rest-framework | 1 |
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