Datasets:

semeru

/

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

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Semeru Lab 7

def convert_to_bytes(file_or_bytes, resize=None, fill=False): if isinstance(file_or_bytes, str): img = PIL.Image.open(file_or_bytes) else: try: img = PIL.Image.open(io.BytesIO(base64.b64decode(file_or_bytes))) except Exception as e: dataBytesIO = io.BytesIO(file_or_bytes) img = PIL.Image.open(dataBytesIO) cur_width, cur_height = img.size if resize: new_width, new_height = resize scale = min(new_height / cur_height, new_width / cur_width) img = img.resize((int(cur_width * scale), int(cur_height * scale)), PIL.Image.ANTIALIAS) if fill: if resize is not None: img = make_square(img, resize[0]) with io.BytesIO() as bio: img.save(bio, format="PNG") del img return bio.getvalue() ""`'

DemoPrograms/Demo_Emoji_Toolbar_PIL.py

PySimpleGUI

Python

d363bd761fef3de10d162809199ad3c351081914

Demo_Emoji_Toolbar_PIL.py

convert_to_bytes

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

New Demo - Emoji Toolbar

def handle(self, *args, **options): jt = options['jt'] threshold = options['threshold'] history = options['history'] ignore = options['ignore'] print('## ' + JobTemplate.objects.get(pk=jt).name + f' (last {history} runs)\n') with connection.cursor() as cursor: cursor.execute( f ) slowest_events = cursor.fetchall()

awx/main/management/commands/bottleneck.py

awx

Python

d3eb2c197595c29c4a3f7b38cd609ce953009623

bottleneck.py

handle

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

Add new flak8 rules to do some meaningful corrections

def user_id_get_param(self): return "accountId"

src/sentry/integrations/jira/client.py

sentry

Python

2fbf550ec05c8501cbc9eca62e73526e717dcbdf

client.py

user_id_get_param

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

ref(Jira): Split Jira Cloud and Jira Server (#37034) * Split Jira Cloud and Jira Server

def save(self) -> bytes: filters = self.get_filters(flush_after=True) state = {} policy_specs = {} connector_enabled = self.policy_config.get("enable_connectors", False) for pid in self.policy_map: state[pid] = self.policy_map[pid].get_state() policy_spec = self.policy_map.policy_specs[pid] # If connectors are enabled, try serializing the policy spec # instead of picking the spec object. policy_specs[pid] = ( policy_spec.serialize() if connector_enabled else policy_spec ) return pickle.dumps( { "filters": filters, "state": state, "policy_specs": policy_specs, } )

rllib/evaluation/rollout_worker.py

ray

Python

d83bbda2816b1781eb61342b4539578149eeb686

rollout_worker.py

save

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

[RLlib] Save serialized PolicySpec. Extract `num_gpus` related logics into a util function. (#25954)

def post_process_segmentation(self, outputs, target_sizes, threshold=0.9, mask_threshold=0.5): out_logits, raw_masks = outputs.logits, outputs.pred_masks preds = []

src/transformers/models/yolos/feature_extraction_yolos.py

transformers

Python

1ac698744c4dbdf1495d303246d08ffacdf4f5b8

feature_extraction_yolos.py

post_process_segmentation

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

Add YOLOS (#16848) * First draft * Add YolosForObjectDetection * Make forward pass work * Add mid position embeddings * Add interpolation of position encodings * Add expected values * Add YOLOS to tests * Add integration test * Support tiny model as well * Support all models in conversion script * Remove mid_pe_size attribute * Make more tests pass * Add model to README and fix config * Add copied from statements * Rename base_model_prefix to vit * Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP * Apply suggestions from code review * Apply more suggestions from code review * Convert remaining checkpoints * Improve docstrings * Add YolosFeatureExtractor * Add feature extractor to docs * Add corresponding tests * Fix style * Fix docs * Apply suggestion from code review * Fix bad rebase * Fix some more bad rebase * Fix missing character * Improve docs and variable names Co-authored-by: Niels Rogge <[email protected]>

def pi(self): total = 0.0 label_freqs = FreqDist(x["labels"] for x in self.data) for k, f in label_freqs.items(): total += f**2 Ae = total / ((len(self.I) * len(self.C)) ** 2) return (self.avg_Ao() - Ae) / (1 - Ae)

nltk/metrics/agreement.py

nltk

Python

0fac0c0f8e4618c2bdd3d2137d5fb8a80f581246

agreement.py

pi

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

Update black to 22.3.0 The most recent release of Click (8.1.0) was breaking Black. See psf/black#2964

def get_image_type(image): fmt = imghdr.what(None, h=image) if fmt is None: # if imghdr can't figure it out, could be svg. with contextlib.suppress(UnicodeDecodeError): if image.decode("utf-8").startswith("<svg"): return "svg+xml" return fmt

homeassistant/components/generic/config_flow.py

core

Python

c1a2be72fc8b76b55cfde1823c5688100e397369

config_flow.py

get_image_type

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

Generic IP Camera configflow 2 (#52360) Co-authored-by: J. Nick Koston <[email protected]>

def __record_outcome(self, test, f, t): f2, t2 = self._name2ft.get(test.name, (0,0)) self._name2ft[test.name] = (f+f2, t+t2) self.failures += f self.tries += t __LINECACHE_FILENAME_RE = re.compile(r'<doctest ' r'(?P<name>.+)' r'\[(?P<examplenum>\d+)\]>$')

python3.10.4/Lib/doctest.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

doctest.py

__record_outcome

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

add python 3.10.4 for windows

def migrate_json_fields_expensive(table, columns): batchsize = 50000 ct = ContentType.objects.get_by_natural_key(*table.split('_', 1)) model = ct.model_class() # Phase 1: add the new columns, making them nullable to avoid populating them with connection.schema_editor() as schema_editor: # See: https://docs.djangoproject.com/en/3.1/ref/schema-editor/ for colname in columns: f = model._meta.get_field(colname) _, _, args, kwargs = f.deconstruct() kwargs['null'] = True new_f = f.__class__(*args, **kwargs) new_f.set_attributes_from_name(f'_{colname}') schema_editor.add_field(model, new_f) # Create a trigger to make sure new data automatically gets put in both fields. with connection.cursor() as cursor: # It's a little annoying, I think this trigger will re-do # the same work as the update query in Phase 2 cursor.execute( f ) cursor.execute( f ) # Phase 2: copy over the data with connection.cursor() as cursor: rows = 0 for i in itertools.count(0, batchsize): cursor.execute(f"select count(1) from {table} where id >= %s;", (i,)) if not cursor.fetchone()[0]: break column_expr = ', '.join(f"_{colname} = {colname}::jsonb" for colname in columns) cursor.execute( f, (i, i + batchsize), ) rows += cursor.rowcount logger.debug(f"Batch {i} to {i + batchsize} copied on {table}.") logger.warning(f"Data copied for {rows} rows on {table}.") # Phase 3: drop the old column and rename the new one with connection.schema_editor() as schema_editor: # FIXME: Grab a lock explicitly here? for colname in columns: with connection.cursor() as cursor: cursor.execute(f"drop trigger {table}_{colname}_trigger;") cursor.execute(f"drop function update_{table}_{colname};") f = model._meta.get_field(colname) _, _, args, kwargs = f.deconstruct() kwargs['null'] = True new_f = f.__class__(*args, **kwargs) new_f.set_attributes_from_name(f'_{colname}') schema_editor.remove_field(model, f) _, _, args, kwargs = new_f.deconstruct() f = new_f.__class__(*args, **kwargs) f.set_attributes_from_name(colname) schema_editor.alter_field(model, new_f, f) @task(queue=get_local_queuename)

awx/main/tasks/system.py

@task(queue=get_local_queuename)

awx

Python

676b8f6d8ff85c10e66cebe0a471d3d97434a6c4

system.py

migrate_json_fields_expensive

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

Implement an out-of-band migration to change the json fields

def test_complex_pipeline_with_shared_prompt_model_yaml(tmp_path): with open(tmp_path / "tmp_config.yml", "w") as tmp_file: tmp_file.write( f ) pipeline = Pipeline.load_from_yaml(path=tmp_path / "tmp_config.yml") result = pipeline.run(query="not relevant", documents=[Document("Berlin is an amazing city.")]) assert "Berlin" in result["results"][0] assert len(result["meta"]["invocation_context"]) > 0

test/nodes/test_prompt_node.py

haystack

Python

9ebf164cfdfb320503b7161493420c1b0ec577a3

test_prompt_node.py

test_complex_pipeline_with_shared_prompt_model_yaml

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

feat: Expand LLM support with PromptModel, PromptNode, and PromptTemplate (#3667) Co-authored-by: ZanSara <[email protected]>

def drop(self, *args, **kwargs): raise NotImplementedError()

src/datasets/table.py

datasets

Python

c902456677116a081f762fa2b4aad13a0aa04d6e

table.py

drop

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

Clean up Table class docstrings (#5355) * clean table docstrings * apply review Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]>

def _dialect_is_microsoft_sql(self): if self._dialect_is_microsoft_sql_cache is None: self._dialect_is_microsoft_sql_cache = False if self.lib == _SQLALCHEMY_LIB_NAME: from sqlalchemy import create_engine self._dialect_is_microsoft_sql_cache = create_engine( *self.args, **self.kwargs ).driver in ("pymssql", "pyodbc") return self._dialect_is_microsoft_sql_cache

modin/db_conn.py

modin

Python

2d40797b2b700d81d4db4a4cd023d563edf6431f

db_conn.py

_dialect_is_microsoft_sql

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

FEAT-#979: Enable reading from SQL server. (#4279) Co-authored-by: eavidan <[email protected]> Co-authored-by: Devin Petersohn <[email protected]> Signed-off-by: mvashishtha <[email protected]>

def get_config_var(name): return get_config_vars().get(name)

pipenv/patched/notpip/_vendor/distlib/_backport/sysconfig.py

pipenv

Python

c69d55f7c82d5ae2cce542bcfb98d043ca4836a0

sysconfig.py

get_config_var

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

Vendor in pip 22.1.2

def test_to_device(self): torch, _ = try_import_torch() # sample batch includes # a numpy array (a) # a nested stucture of dict, tuple and lists (b) of numpys and None # info dict # a nested structure that ends up with tensors and ints(c) # a tensor with float64 values (d) # a float64 tensor with possibly wrong device (depends on if cuda available) # repeated value object with np.array leaves (f) cuda_available = int(os.environ.get("RLLIB_NUM_GPUS", "0")) > 0 cuda_if_possible = torch.device("cuda:0" if cuda_available else "cpu") s = SampleBatch( { "a": np.array([1, 2]), "b": {"c": (np.array([4, 5]), np.array([5, 6]))}, "c": {"d": torch.Tensor([1, 2]), "g": (torch.Tensor([3, 4]), 1)}, "d": torch.Tensor([1.0, 2.0]).double(), "e": torch.Tensor([1.0, 2.0]).double().to(cuda_if_possible), "f": RepeatedValues(np.array([[1, 2, 0, 0]]), lengths=[2], max_len=4), SampleBatch.SEQ_LENS: np.array([2, 3, 1]), "state_in_0": np.array([1.0, 3.0, 4.0]), # INFO can have arbitrary elements, others need to conform in size SampleBatch.INFOS: np.array([{"a": 1}, {"b": [1, 2]}, {"c": None}]), } ) # inplace operation for sample_batch s.to_device(cuda_if_possible, framework="torch")

rllib/policy/tests/test_sample_batch.py

ray

Python

2fe96302d962b2372b12d4d1584b43a3e953bca8

test_sample_batch.py

test_to_device

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

[RLlib] Enable counting of SampleBatch length by traversing nested structures (#30067) Signed-off-by: Artur Niederfahrenhorst <[email protected]>

def parsing_hooks(cls) -> Tuple[Type["Block"], Type["Sentence"], Type["Statements"]]: return Block, Sentence, Statements

certbot-nginx/certbot_nginx/_internal/parser_obj.py

certbot

Python

16aad35d31a887dab157f9d4f5e0fe9218d06064

parser_obj.py

parsing_hooks

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

Fully type certbot-nginx module (#9124) * Work in progress * Fix type * Work in progress * Work in progress * Work in progress * Work in progress * Work in progress * Oups. * Fix typing in UnspacedList * Fix logic * Finish typing * List certbot-nginx as fully typed in tox * Fix lint * Fix checks * Organize imports * Fix typing for Python 3.6 * Fix checks * Fix lint * Update certbot-nginx/certbot_nginx/_internal/configurator.py Co-authored-by: alexzorin <[email protected]> * Update certbot-nginx/certbot_nginx/_internal/configurator.py Co-authored-by: alexzorin <[email protected]> * Fix signature of deploy_cert regarding the installer interface * Update certbot-nginx/certbot_nginx/_internal/obj.py Co-authored-by: alexzorin <[email protected]> * Fix types * Update certbot-nginx/certbot_nginx/_internal/parser.py Co-authored-by: alexzorin <[email protected]> * Precise type * Precise _coerce possible inputs/outputs * Fix type * Update certbot-nginx/certbot_nginx/_internal/http_01.py Co-authored-by: ohemorange <[email protected]> * Fix type * Remove an undesirable implementation. * Fix type Co-authored-by: alexzorin <[email protected]> Co-authored-by: ohemorange <[email protected]>

def disable_plumbum(): with patch("plumbum.local"), patch("plumbum.colors"): yield

tests/components/habitica/conftest.py

core

Python

c96781a7957e3887f55cd669002b333539c834c3

conftest.py

disable_plumbum

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

Prevent plumbum from causing the testsuite to fail (#70400)

def histogram2d(self): return self["histogram2d"]

packages/python/plotly/plotly/graph_objs/layout/template/_data.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_data.py

histogram2d

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

switch to black .22

def __getattr__(self, name): attr = None if name.startswith('do_'): module = name.replace('do_', '') if module_loader.find_plugin(module): setattr(self, name, lambda arg, module=module: self.default(module + ' ' + arg)) attr = object.__getattr__(self, name) elif name.startswith('help_'): module = name.replace('help_', '') if module_loader.find_plugin(module): setattr(self, name, lambda module=module: self.helpdefault(module)) attr = object.__getattr__(self, name) if attr is None: raise AttributeError(f"{self.__class__} does not have a {name} attribute") return attr

lib/ansible/cli/console.py

ansible

Python

34f8168afc1d7047c47adec3730c591a58f4f899

console.py

__getattr__

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

ansible-console fixes (#78064) * list collection task actions too * dynamically add execute/help functions when module is found * handle redirection and short names

def test_CategoricalSelector_fit(): op = CategoricalSelector() ret_op = op.fit(iris_data) assert ret_op==op

tests/feature_transformers_tests.py

tpot

Python

388616b6247ca4ea8de4e2f340d6206aee523541

feature_transformers_tests.py

test_CategoricalSelector_fit

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

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

def execute(): frappe.reload_doc("manufacturing", "doctype", "job_card_time_log") if frappe.db.table_exists("Job Card") and frappe.get_meta("Job Card").has_field( "actual_start_date" ): time_logs = [] for d in frappe.get_all( "Job Card", fields=["actual_start_date", "actual_end_date", "time_in_mins", "name", "for_quantity"], filters={"docstatus": ("<", 2)}, ): if d.actual_start_date: time_logs.append( [ d.actual_start_date, d.actual_end_date, d.time_in_mins, d.for_quantity, d.name, "Job Card", "time_logs", frappe.generate_hash("", 10), ] ) if time_logs: frappe.db.sql( .format( values=",".join(["%s"] * len(time_logs)) ), tuple(time_logs), ) frappe.reload_doc("manufacturing", "doctype", "job_card") frappe.db.sql( )

erpnext/patches/v11_1/make_job_card_time_logs.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

make_job_card_time_logs.py

execute

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

style: format code with black

def list_indexes(self) -> List[str]: return list(self._indexes)

src/datasets/search.py

datasets

Python

cd3169f3f35afcf73a36a8276113e1881d92e5e0

search.py

list_indexes

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

Clean up Dataset and DatasetDict (#5344) * clean up docstrings * make style * apply review Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]>

def forward_loss(self, pixel_values, pred, mask): target = self.patchify(pixel_values) if self.config.norm_pix_loss: mean = target.mean(dim=-1, keepdim=True) var = target.var(dim=-1, keepdim=True) target = (target - mean) / (var + 1.0e-6) ** 0.5 loss = (pred - target) ** 2 loss = loss.mean(dim=-1) # [N, L], mean loss per patch loss = (loss * mask).sum() / mask.sum() # mean loss on removed patches return loss

src/transformers/models/vit_mae/modeling_vit_mae.py

transformers

Python

b681e12d5963490d29c2a77ba7346ee050e46def

modeling_vit_mae.py

forward_loss

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

[ViTMAE] Fix docstrings and variable names (#17710) * Fix docstrings and variable names * Rename x to something better * Improve messages * Fix docstrings and add test for greyscale images Co-authored-by: Niels Rogge <[email protected]>

def get_latest_progress(self) -> "StepID": return asyncio_run(self._get(self._key_workflow_progress(), True))["step_id"]

python/ray/workflow/workflow_storage.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

workflow_storage.py

get_latest_progress

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

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

def can_link_svml(): if NPY_DISABLE_SVML: return False machine = platform.machine() system = platform.system() return "x86_64" in machine and system == "Linux"

numpy/core/setup.py

numpy

Python

50d5f1af8406165128a8567b0796ce244542f70c

setup.py

can_link_svml

https://github.com/numpy/numpy.git

BLD: Add NPY_DISABLE_SVML env var to opt out of SVML

def call_cglosers(self, other_args): parser = argparse.ArgumentParser( prog="cglosers", add_help=False, formatter_class=argparse.ArgumentDefaultsHelpFormatter, description=, ) parser.add_argument( "-p", "--period", dest="period", type=str, help="time period, one from {14d,1h,1y,200d,24h,30d,7d}", default="1h", choices=pycoingecko_model.API_PERIODS, ) parser.add_argument( "-l", "--limit", dest="limit", type=check_positive, help="Number of records to display", default=15, ) parser.add_argument( "-s", "--sort", dest="sortby", nargs="+", help="Sort by given column. Default: Market Cap Rank", default="Market Cap Rank", ) ns_parser = parse_known_args_and_warn( parser, other_args, EXPORT_ONLY_RAW_DATA_ALLOWED ) if ns_parser: pycoingecko_view.display_losers( period=ns_parser.period, top=ns_parser.limit, export=ns_parser.export, sortby=" ".join(ns_parser.sortby), )

gamestonk_terminal/cryptocurrency/discovery/discovery_controller.py

OpenBBTerminal

Python

4501dfd442d371150b8785d379c5354095b6954b

discovery_controller.py

call_cglosers

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

Crypto features: Replace coingecko scrapping (#1156) * replaced cgcategories with api * added coingecko categories * refactoring commands to use api, added coins to cryptocontroller and merged find and coins * autocompletion for coins * removed unused vars * added dappradar features * refactoring commands position * refactoring commands position * adding visual commands and fixed report * skipped tests for now * lint notebook * correct report * black formatter keeps crying because notebook * removed unused imports * Fixed black * Keep kernel metadata 'cause it's required by papermill * Change jupyter cleanup hook to one based on nbconvert * Try fix the hook I just broke * Fix trailing commas in the crypto notebook * Change the jupyter hook to a one that's featured on pre-commit's page * Format report notebook and test new notebook hook * Black the notebook * Remove deleted functions from the crypto discovery API * Remove deleted functions from the crypto overview API * replaced print for console print and removed print from table * replaced print for console print and removed print from table * auto completion + sort for all discovery commands * replacing help messages * fix linting * added docs and removed unused commands * added todos and fixed help messages * lint * pr issues fixed * updated tests * tests merge * replaced with new rich table function Co-authored-by: Colin Delahunty <[email protected]> Co-authored-by: Theodore Aptekarev <[email protected]>

def fit(self, df): # threshold - items below this number get set to zero in cooccurrence counts df.createOrReplaceTempView(self.f("{prefix}df_train_input")) if self.timedecay_formula: # WARNING: previously we would take the last value in training dataframe and set it # as a matrix U element # for each user-item pair. Now with time decay, we compute a sum over ratings given # by a user in the case # when T=np.inf, so user gets a cumulative sum of ratings for a particular item and # not the last rating. # Time Decay # does a group by on user item pairs and apply the formula for time decay there # Time T parameter is in days and input time is in seconds, # so we do dt/60/(T*24*60)=dt/(T*24*3600) # the following is the query which we want to run query = self.f( ) # replace with timedecayed version df = self.spark.sql(query) else: # since SQL is case-insensitive, this check needs to be performed similar if self.header["col_timestamp"].lower() in [ s.name.lower() for s in df.schema ]: # we need to de-duplicate items by using the latest item query = self.f( ) df = self.spark.sql(query) df.createOrReplaceTempView(self.f("{prefix}df_train")) log.info("sarplus.fit 1/2: compute item cooccurrences...") # compute cooccurrence above minimum threshold query = self.f( ) item_cooccurrence = self.spark.sql(query) item_cooccurrence.write.mode("overwrite").saveAsTable( self.f("{prefix}item_cooccurrence") ) # compute the diagonal used later for Jaccard and Lift if self.similarity_type == SIM_LIFT or self.similarity_type == SIM_JACCARD: item_marginal = self.spark.sql( self.f( "SELECT i1 i, value AS margin FROM {prefix}item_cooccurrence WHERE i1 = i2" ) ) item_marginal.createOrReplaceTempView(self.f("{prefix}item_marginal")) if self.similarity_type == SIM_COOCCUR: self.item_similarity = item_cooccurrence elif self.similarity_type == SIM_JACCARD: query = self.f( ) self.item_similarity = self.spark.sql(query) elif self.similarity_type == SIM_LIFT: query = self.f( ) self.item_similarity = self.spark.sql(query) else: raise ValueError( "Unknown similarity type: {0}".format(self.similarity_type) ) # store upper triangular log.info( "sarplus.fit 2/2: compute similarity metric %s..." % self.similarity_type ) self.item_similarity.write.mode("overwrite").saveAsTable( self.f("{prefix}item_similarity_upper") ) # expand upper triangular to full matrix query = self.f( ) self.item_similarity = self.spark.sql(query) self.item_similarity.write.mode("overwrite").saveAsTable( self.f("{prefix}item_similarity") ) # free space self.spark.sql(self.f("DROP TABLE {prefix}item_cooccurrence")) self.spark.sql(self.f("DROP TABLE {prefix}item_similarity_upper")) self.item_similarity = self.spark.table(self.f("{prefix}item_similarity"))

contrib/sarplus/python/pysarplus/SARPlus.py

recommenders

Python

2b98f1045321475f6537986af134fb53f8320268

SARPlus.py

fit

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

Correct typos

def iterate_binary(self, k): bin_list = Subset.bitlist_from_subset(self.subset, self.superset) n = (int(''.join(bin_list), 2) + k) % 2**self.superset_size bits = bin(n)[2:].rjust(self.superset_size, '0') return Subset.subset_from_bitlist(self.superset, bits)

sympy/combinatorics/subsets.py

sympy

Python

498015021131af4dbb07eb110e5badaba8250c7b

subsets.py

iterate_binary

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

Updated import locations

def _get_input_shape(self): arch = self.config["enc_architecture"] enforce_size = _MODEL_MAPPING[arch].get("enforce_for_weights", False) default_size = _MODEL_MAPPING[arch]["default_size"] scaling = self.config["enc_scaling"] / 100 min_size = _MODEL_MAPPING[arch].get("min_size", 32) size = int(max(min_size, min(default_size, ((default_size * scaling) // 16) * 16))) if self.config["enc_load_weights"] and enforce_size and scaling != 1.0: logger.warning("%s requires input size to be %spx when loading imagenet weights. " "Adjusting input size from %spx to %spx", arch, default_size, size, default_size) retval = (default_size, default_size, 3) else: retval = (size, size, 3) logger.debug("Encoder input set to: %s", retval) return retval

plugins/train/model/phaze_a.py

faceswap

Python

0189029dbaad486e623353ee4a8451af8c85f4e4

phaze_a.py

_get_input_shape

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

Phaze-A: Add MobileNetV3 encoder

def has_free(self): return len(self._idle_actors) > 0 and len(self._pending_submits) == 0

python/ray/util/actor_pool.py

ray

Python

60054995e65304fb14e6d0ab69bdec07aa9389fe

actor_pool.py

has_free

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

[docs] fix doctests and activate CI (#23418)

def stop_instances(self, instance_ids, stopped_mode="StopCharging"): request = StopInstancesRequest() request.set_InstanceIds(instance_ids) request.set_StoppedMode(stopped_mode) response = self._send_request(request) if response is None: logging.error("stop_instances failed")

python/ray/autoscaler/_private/aliyun/utils.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

utils.py

stop_instances

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

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

def check_validation_split_arg(validation_split, subset, shuffle, seed): if validation_split and not 0 < validation_split < 1: raise ValueError( '`validation_split` must be between 0 and 1, received: %s' % (validation_split,)) if (validation_split or subset) and not (validation_split and subset): raise ValueError( 'If `subset` is set, `validation_split` must be set, and inversely.') if subset not in ('training', 'validation', 'both', None): raise ValueError('`subset` must be either "training", ' '"validation" or "both", received: %s' % (subset,)) if validation_split and shuffle and seed is None: raise ValueError( 'If using `validation_split` and shuffling the data, you must provide ' 'a `seed` argument, to make sure that there is no overlap between the ' 'training and validation subset.')

keras/utils/dataset_utils.py

keras

Python

c52c11968b096580577c75b169f51c5b39002106

dataset_utils.py

check_validation_split_arg

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

Updated tests for subset="both"

def _dedupe_indices(new, exclude): exclude = set(exclude) dums_new = set(get_dummy_indices(new)) conflicts = dums_new.intersection(exclude) if len(conflicts) == 0: return None exclude.update(dums_new) self_args_free = [(i, None) for i in exclude] gen = _IndexStructure._get_generator_for_dummy_indices(self_args_free) repl = {} for d in conflicts: if -d in repl.keys(): continue newname = gen(d.tensor_index_type) new_d = d.func(newname, *d.args[1:]) repl[d] = new_d repl[-d] = -new_d if len(repl) == 0: return None new_renamed = new._replace_indices(repl) return new_renamed

sympy/tensor/tensor.py

sympy

Python

22174995eac1f437c5f4abe0232760877daf586f

tensor.py

_dedupe_indices

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

TensMul._dedupe_indices: remove index_structure arg _get_generator_for_dummy_indices is a staticmethod, and so I can just call _IndexStructure._get_generator_for_dummy_indices

def process(self) -> None: logger.info("[EXTRACT FACES]") # Tidy up cli output self._check_folder() if self._is_legacy: self._legacy_check() self._saver = ImagesSaver(self._faces_dir, as_bytes=True) if self._min_size > 0: logger.info("Only selecting faces that have been resized from a minimum resolution " "of %spx", self._min_size) self._export_faces()

tools/alignments/jobs.py

faceswap

Python

a9908b46f77dc66ac7efe7100ea0eed4b1f2b460

jobs.py

process

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

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

def alter_object(self, obj, request, url_args, url_kwargs): return obj

netbox/netbox/views/generic/object_views.py

netbox

Python

54834c47f8870e7faabcd847c3270da0bd3d2884

object_views.py

alter_object

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

Refactor generic views; add plugins dev documentation

def test_load_existing_stream(self) -> None: self._insert_rows("foobar1", "first", 3) self._insert_rows("foobar2", "second", 3) self._insert_rows("foobar2", "second", 1, update_stream_table=False) first_id_gen = self._create_id_generator("first", writers=["first", "second"]) second_id_gen = self._create_id_generator("second", writers=["first", "second"]) # The first ID gen will notice that it can advance its token to 7 as it # has no in progress writes... self.assertEqual(first_id_gen.get_positions(), {"first": 7, "second": 6}) self.assertEqual(first_id_gen.get_current_token_for_writer("first"), 7) self.assertEqual(first_id_gen.get_current_token_for_writer("second"), 6) self.assertEqual(first_id_gen.get_persisted_upto_position(), 7) # ... but the second ID gen doesn't know that. self.assertEqual(second_id_gen.get_positions(), {"first": 3, "second": 7}) self.assertEqual(second_id_gen.get_current_token_for_writer("first"), 3) self.assertEqual(second_id_gen.get_current_token_for_writer("second"), 7) self.assertEqual(first_id_gen.get_persisted_upto_position(), 7)

tests/storage/test_id_generators.py

synapse

Python

9d21ecf7ceab55bc19c4457b8b07401b0b1623a7

test_id_generators.py

test_load_existing_stream

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

Add type hints to tests files. (#12256)

def to_hex(self) -> str: return "#%02X%02X%02X" % (self.r, self.g, self.b)

bokeh/colors/color.py

bokeh

Python

ada85ff1dc6dc1d5857141b3202733870de5c809

color.py

to_hex

https://github.com/bokeh/bokeh.git

Bump min sphinx version (#11973) * Bump min sphinx version * checkpoint * comment for fully qualified names

def scale_module(module, scale): for p in module.parameters(): p.detach().mul_(scale) return module

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

PaddleHub

Python

f4d6e64cdc132ae868699a0ba442f4ab1d304a14

nn.py

scale_module

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

add disco_diffusion_cnclip_vitb16 module

def settings_file(self): return self._settings_file

examples/text_summarization/prophetnet/evaluate/cnndm/bs_pyrouge.py

PaddleNLP

Python

487162262196bead8d9b4c2306f313b8f64edf9b

bs_pyrouge.py

settings_file

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

Add model Prohetnet (#1698) * add Prohetnet model * update prohetnet * update format * pre commit * add prophetnet example * update tokenizer.py,run_train.sh,train_prophetnet.py * remove evaluate/gigaword/__init__.py Co-authored-by: smallv0221 <[email protected]>

def get_orderbook(self): df = self.__orderbook[ [ "Date", "Type", "Ticker", "Side", "Price", "Quantity", "Fees", "Investment", "Currency", "Sector", "Industry", "Country", "Region", ] ] df = df.replace(np.nan, "-") df["Date"] = df["Date"].dt.strftime("%Y-%m-%d") df.sort_values(by="Date", ascending=False, inplace=True) return df

openbb_terminal/portfolio/portfolio_model.py

OpenBBTerminal

Python

291e7d69914e9ab8b9bf9b20bb44d971bcedc247

portfolio_model.py

get_orderbook

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

Add ETF support for portfolio allocation command (#2143) * fill etf and prevent different length errors * auto fill etf sectors and allow 0 value portfolios * allow 0 value portfolios * remove unused folder * allow 1 asset portfolios * split allocation calls by category in controller * comment sector allocation model * get country and region allocations for etf * add comments and black * improve comments * improve comments * allow for 1 category in sector, country and region * add progress bars * linting fix * fix mypy * set default date * fix pylint * add isin on paexport * merge main * auto pre load benchmark * fix rich table for np.float64 * refactor portfolio allocs * refactor alloc command * add isins column * format output alloc * rename variable * fix nan bug * black * add ticker conversion to yf format by isin * warn and removed unsupported ISINs * solve same day trades bug * display bench loading progress * portfolio show * check if valid isins on preprocessing * black * fix bug when region empty * warn when category is empty * reformat preprocessing * codespell * check if ticker is valid * flake8 * fix test * fix bug with trades on holidays Co-authored-by: Jeroen Bouma <[email protected]>

def _delete_accounting_ledger_entries(voucher_type, voucher_no): _delete_gl_entries(voucher_type, voucher_no) _delete_pl_entries(voucher_type, voucher_no)

erpnext/accounts/utils.py

erpnext

Python

9209ec59c2216223bc1a7618bd95ec2424434849

utils.py

_delete_accounting_ledger_entries

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

refactor: split delete gl utility function into two

def base(self, base): self.set_base(base)

lib/matplotlib/ticker.py

matplotlib

Python

1bc33e99efc9e4be433f99c6a74c7e3b30147dac

ticker.py

base

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

Improve consistency in LogLocator and LogFormatter API

def test_is_state(hass): hass.states.async_set("test.object", "available") tpl = template.Template( , hass, ) assert tpl.async_render() == "yes" tpl = template.Template( , hass, ) assert tpl.async_render() is False tpl = template.Template( , hass, ) assert tpl.async_render() == "yes" tpl = template.Template( , hass, ) assert tpl.async_render() == "test.object"

tests/helpers/test_template.py

core

Python

f73fc9e3558eca0a1e74a19273a67f8d2bfa8af7

test_template.py

test_is_state

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

Adds states and state_attr as a filter, adds is_state and is_state_attr as a test. (#79473)

def get_formatted_field_choices(self, field): if "\n" in field.choices: choices = map( lambda x: ( x.strip().rstrip(",").strip(), x.strip().rstrip(",").strip(), ), field.choices.split("\r\n"), ) else: choices = map(lambda x: (x.strip(), x.strip()), field.choices.split(",")) return choices

wagtail/contrib/forms/forms.py

wagtail

Python

134bd19bef529f0c205a48cedb8574ee0c52d436

forms.py

get_formatted_field_choices

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

add ability for form builder to split choices by newline - fixes #3001 - keep support for comma separated lists if supplied

def receive_file(filename="example.txt"): with open(filename, "wb") as out_file: ftp.retrbinary("RETR " + filename, out_file.write, 1024) ftp.quit()

ftp_send_receive.py

Python

Python

f0af0c43340763724f139fa68aa1e5a9ffe458b4

ftp_send_receive.py

receive_file

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

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

def set_layout_engine(self, layout=None, **kwargs): if layout is None: if mpl.rcParams['figure.autolayout']: layout = 'tight' elif mpl.rcParams['figure.constrained_layout.use']: layout = 'constrained' else: self._layout_engine = None return if layout == 'tight': new_layout_engine = TightLayoutEngine(**kwargs) elif layout == 'constrained': new_layout_engine = ConstrainedLayoutEngine(**kwargs) elif layout == 'compressed': new_layout_engine = ConstrainedLayoutEngine(compress=True, **kwargs) elif layout == 'none': if self._layout_engine is not None: new_layout_engine = PlaceHolderLayoutEngine( self._layout_engine.adjust_compatible, self._layout_engine.colorbar_gridspec ) else: new_layout_engine = None elif isinstance(layout, LayoutEngine): new_layout_engine = layout else: raise ValueError(f"Invalid value for 'layout': {layout!r}") if self._check_layout_engines_compat(self._layout_engine, new_layout_engine): self._layout_engine = new_layout_engine else: raise RuntimeError('Colorbar layout of new layout engine not ' 'compatible with old engine, and a colorbar ' 'has been created. Engine not changed.')

lib/matplotlib/figure.py

matplotlib

Python

f7f3bb6079048506613c513231e1bd2a87ebc7d3

figure.py

set_layout_engine

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

ENH: add ability to remove layout engine This also adds a "place holder" layout engine to ensure that users can not "go through zero" and change to an incompatible layout engine. Co-authored-by: Jody Klymak <[email protected]>

def _kernel_constraint(self, kernel): padding = backend.constant([[1, 1], [1, 1]], dtype="int32") kernel_shape = backend.shape(kernel)[0] start = backend.cast(kernel_shape / 2, "int32") kernel_new = backend.switch( backend.cast(tf.math.floormod(kernel_shape, 2), "bool"), lambda: kernel[start - 1 : start, start - 1 : start], lambda: kernel[start - 1 : start, start - 1 : start] + backend.zeros((2, 2), dtype=kernel.dtype), ) index = backend.switch( backend.cast(tf.math.floormod(kernel_shape, 2), "bool"), lambda: backend.constant(0, dtype="int32"), lambda: backend.constant(1, dtype="int32"), ) while_condition = lambda index, *args: backend.less(index, start)

keras/constraints.py

keras

Python

3613c3defc39c236fb1592c4f7ba1a9cc887343a

constraints.py

_kernel_constraint

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

Remove pylint comments. PiperOrigin-RevId: 452353044

def set_seq1(self, a): if a is self.a: return self.a = a self.matching_blocks = self.opcodes = None

python3.10.4/Lib/difflib.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

difflib.py

set_seq1

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

add python 3.10.4 for windows

def assert_lists_same(a, b): assert len(a) == len(b) for i in a: assert i in b for i in b: assert i in a

tests/common.py

core

Python

64381acbaf2930cda5dfa538d00bfa9f5172e690

common.py

assert_lists_same

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

Mark device actions from hidden or auxiliary entities as secondary (#70278)

def _get_state_dict(self): model_state = {} for task in self.tasks: model_state[task] = { "state_dict": self.__getattr__(task)._get_state_dict(), "class": self.__getattr__(task).__class__, } return model_state

flair/models/multitask_model.py

flair

Python

03be003d417c4d0f90ec03fbca1ba0a0b337ff44

multitask_model.py

_get_state_dict

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

multitask training

def set_exe_build_timestamp(exe_path, timestamp): import pefile with pefile.PE(exe_path, fast_load=True) as pe: # Manually perform a full load. We need it to load all headers, but specifying it in the constructor triggers # byte statistics gathering that takes forever with large files. So we try to go around that... pe.full_load() # Set build timestamp. # See: https://0xc0decafe.com/malware-analyst-guide-to-pe-timestamps timestamp = int(timestamp) # Set timestamp field in FILE_HEADER pe.FILE_HEADER.TimeDateStamp = timestamp # MSVC-compiled executables contain (at least?) one DIRECTORY_ENTRY_DEBUG entry that also contains timestamp # with same value as set in FILE_HEADER. So modify that as well, as long as it is set. debug_entries = getattr(pe, 'DIRECTORY_ENTRY_DEBUG', []) for debug_entry in debug_entries: if debug_entry.struct.TimeDateStamp: debug_entry.struct.TimeDateStamp = timestamp # Generate updated EXE data data = pe.write() # Rewrite the exe with open(exe_path, 'wb') as fp: fp.write(data)

PyInstaller/utils/win32/winutils.py

pyinstaller

Python

41483cb9e6d5086416c8fea6ad6781782c091c60

winutils.py

set_exe_build_timestamp

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

winutils: optimize PE headers fixup Attempt to optimize PE headers fix-up from both time- and memory- intensity perspective. First, avoid specifying `fast_load=False` in `pefile.PE` constructor, because that triggers the bytes statistics collection https://github.com/erocarrera/pefile/blob/v2022.5.30/pefile.py#L2862-L2876 which takes a long time for large files. Instead, we can obtain full headers (required for build timestamp modification) by calling `pe.full_load()` ourselves. Second, use (an equivalent of) `MapFileAndCheckSumW` to compute the PE checksum. For large files, it is orders of magnitude faster than its pure-python `pefile.PE.generate_checksum` counterpart. The downside is that `MapFileAndCheckSumW` requires an on-disk file as opposed to a memory buffer, so we need to split the PE headers fixup into two separate steps, with each modifying the corresponding PE headers and (re)writing the whole file. Even so, this brings the fix-up process for a 700MB executable down to seconds instead of minutes. In addition, as noted on MSDN, `MapFileAndCheckSumW` internally calls its ASCII variant (`MapFileAndCheckSumA`), so it cannot handle file paths that contain characters that are not representable in the current code page. Therefore, we implement our own equivalent using `ctypes` and pure widechar-based win32 API functions.

def load_tasks(request, project): file_upload_ids, found_formats, data_keys = [], [], set() could_be_tasks_lists = False # take tasks from request FILES if len(request.FILES): check_file_sizes_and_number(request.FILES) for filename, file in request.FILES.items(): file_upload = create_file_upload(request, project, file) if file_upload.format_could_be_tasks_list: could_be_tasks_lists = True file_upload_ids.append(file_upload.id) tasks, found_formats, data_keys = FileUpload.load_tasks_from_uploaded_files(project, file_upload_ids) # take tasks from url address elif 'application/x-www-form-urlencoded' in request.content_type: # empty url url = request.data.get('url') if not url: raise ValidationError('"url" is not found in request data') # try to load json with task or tasks from url as string json_data = str_to_json(url) if json_data: file_upload = create_file_upload(request, project, SimpleUploadedFile('inplace.json', url.encode())) file_upload_ids.append(file_upload.id) tasks, found_formats, data_keys = FileUpload.load_tasks_from_uploaded_files(project, file_upload_ids) # download file using url and read tasks from it else: if settings.SSRF_PROTECTION_ENABLED and url_is_local(url): raise ImportFromLocalIPError data_keys, found_formats, tasks, file_upload_ids = tasks_from_url( file_upload_ids, project, request, url ) # take one task from request DATA elif 'application/json' in request.content_type and isinstance(request.data, dict): tasks = [request.data] # take many tasks from request DATA elif 'application/json' in request.content_type and isinstance(request.data, list): tasks = request.data # incorrect data source else: raise ValidationError('load_tasks: No data found in DATA or in FILES') # check is data root is list if not isinstance(tasks, list): raise ValidationError('load_tasks: Data root must be list') # empty tasks error if not tasks: raise ValidationError('load_tasks: No tasks added') check_max_task_number(tasks) return tasks, file_upload_ids, could_be_tasks_lists, found_formats, list(data_keys)

label_studio/data_import/uploader.py

label-studio

Python

eb9198e827e0fdab1e10593c7ea91a56af299e8b

uploader.py

load_tasks

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

fix: DEV-2235: Fix blind SSRF on add model and import (#2450) * fix: DEV-2235: Fix blind SSRF on add model and import * Fix ip check (DEV-2235) * Disable bandit check (DEV-2235)

def synset_from_pos_and_offset(self, pos, offset): # Check to see if the synset is in the cache if offset in self._synset_offset_cache[pos]: return self._synset_offset_cache[pos][offset] data_file = self._data_file(pos) data_file.seek(offset) data_file_line = data_file.readline() # If valid, the offset equals the 8-digit 0-padded integer found at the start of the line: line_offset = data_file_line[:8] if line_offset.isalnum() and offset == int(line_offset): synset = self._synset_from_pos_and_line(pos, data_file_line) assert synset._offset == offset self._synset_offset_cache[pos][offset] = synset else: synset = None warnings.warn(f"No WordNet synset found for pos={pos} at offset={offset}.") data_file.seek(0) return synset

nltk/corpus/reader/wordnet.py

nltk

Python

e081b67f971fa478a98d5734366c602f85d9f7d9

wordnet.py

synset_from_pos_and_offset

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

Warn about nonexistent synset offsets

async def async_unjoin_player(self): sonos_data = self.hass.data[DATA_SONOS] household_id = self.speaker.household_id

homeassistant/components/sonos/media_player.py

core

Python

4bfdb1433e95dfe504e376ca082def5257c23bcb

media_player.py

async_unjoin_player

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

Optimize Sonos unjoin behavior when using `media_player.unjoin` (#74086) * Coalesce Sonos unjoins to process together * Refactor for readability * Skip unjoin call if already ungrouped * Store unjoin data in a dedicated dataclass * Revert import adjustment

def _key_to_file(self, session_key=None): if session_key is None: session_key = self._get_or_create_session_key() # Make sure we're not vulnerable to directory traversal. Session keys # should always be md5s, so they should never contain directory # components. if not set(session_key).issubset(VALID_KEY_CHARS): raise InvalidSessionKey("Invalid characters in session key") return os.path.join(self.storage_path, self.file_prefix + session_key)

django/contrib/sessions/backends/file.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

file.py

_key_to_file

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

Refs #33476 -- Reformatted code with Black.

def test_conversation_chain_errors_bad_variable() -> None: llm = FakeLLM() prompt = PromptTemplate(input_variables=["foo"], template="{foo}") memory = ConversationBufferMemory(dynamic_key="foo") with pytest.raises(ValueError): ConversationChain(llm=llm, prompt=prompt, memory=memory, input_key="foo") @pytest.mark.parametrize( "memory", [ ConversationBufferMemory(dynamic_key="baz"), ConversationSummaryMemory(llm=FakeLLM(), dynamic_key="baz"), ], )

tests/unit_tests/chains/test_conversation.py

@pytest.mark.parametrize( "memory", [ ConversationBufferMemory(dynamic_key="baz"), ConversationSummaryMemory(llm=FakeLLM(), dynamic_key="baz"), ], )

langchain

Python

a408ed3ea39dfa47e8b522a9e153b259f25df54e

test_conversation.py

test_conversation_chain_errors_bad_variable

https://github.com/hwchase17/langchain.git

Samantha/add conversation chain (#166) Add MemoryChain and ConversationChain as chains that take a docstore in addition to the prompt, and use the docstore to stuff context into the prompt. This can be used to have an ongoing conversation with a chatbot. Probably needs a bit of refactoring for code quality Co-authored-by: Harrison Chase <[email protected]>

def _dry_run(self, **kwargs) -> bool: ...

jina/clients/base/__init__.py

jina

Python

ef662b529b2a2eecea7bb99759a9f7b9d86d3062

__init__.py

_dry_run

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

feat: add grpc health checking (#4779)

def is_fedora(): (osname, osrelease, oscodename) = ( x.strip('"').strip("'") for x in linux_distribution() ) return osname == "Fedora" @real_memoize

salt/utils/platform.py

@real_memoize

salt

Python

f2a783643de61cac1ff3288b40241e5ce6e1ddc8

platform.py

is_fedora

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

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

def update(self) -> None: self.data.update() self._times = self.data.info if not self._times: self._state = None else: with suppress(TypeError): self._state = self._times[0][ATTR_DUE_IN]

homeassistant/components/rejseplanen/sensor.py

core

Python

6f564e4f514b56bce281ec7e82703cfbff87b417

sensor.py

update

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

Improve entity type hints [r] (#77874)

def get_base_info(self) -> pd.DataFrame: regx = r'<a href="(.+?)">|</a>' results = {} for attr in BASE_INFO: info_obj = self.coin.get(attr, {}) if attr == "description": info_obj = info_obj.get("en") info_obj = re.sub(regx, "", info_obj) info_obj = re.sub(r"\r\n\r\n", " ", info_obj) results[attr] = info_obj results.update(self._get_base_market_data_info()) df = pd.Series(results).to_frame().reset_index() df.columns = ["Metric", "Value"] df["Metric"] = df["Metric"].apply( lambda x: lambda_replace_underscores_in_column_names(x) if isinstance(x, str) else x ) return df[df["Value"].notna()]

gamestonk_terminal/cryptocurrency/due_diligence/pycoingecko_model.py

OpenBBTerminal

Python

fd5821928265429d1ffb6e6d53f019915b3afbbc

pycoingecko_model.py

get_base_info

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

adjusted format of logs (#1292) adjusted format of logs

def check_supplier_has_docname_access(supplier): status = True if frappe.form_dict.name not in frappe.db.sql_list( , (supplier,), ): status = False return status

erpnext/templates/pages/rfq.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

rfq.py

check_supplier_has_docname_access

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

style: format code with black

def test_format_float_precision(self, st_element, get_proto): values = [3.14, 3.1] display_values = ["3.14", "3.10"] df = pd.DataFrame({"test": values}) st_element(df.style.format({"test": "{:.2f}"})) proto_df = get_proto(self._get_element()) self._assert_column_display_values(proto_df, 0, display_values)

lib/tests/streamlit/legacy_dataframe_styling_test.py

streamlit

Python

2c153aa179a27539f856e389870161d5a58da213

legacy_dataframe_styling_test.py

test_format_float_precision

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

Pandas 1.4 styler fix (#4316) Change the way we detect custom styling in a DataFrame, to account for changes in Pandas 1.4. Our DataFrame styling support is based on internal Pandas APIs, so they're always subject to change out from underneath us. In general, we'd prefer to only pass `display_value` data to the frontend when a DataFrame cell has been custom-formatted by the user, to save on bandwidth. However, Panda's Styler's internals are private, and it doesn't give us a consistent way of testing whether a cell has a custom `display_value` or not. Prior to Pandas 1.4, we could test whether a cell's `display_value` differed from its `value`, and only stick the `display_value` in the protobuf when that was the case. In 1.4, an unmodified Styler will contain `display_value` strings for all cells, regardless of whether any formatting has been applied to that cell, so we no longer have this ability (or at least I couldn't figure out a reasonable way to test for this). So instead, as of this PR, calling `st._legacy_dataframe(df.styler)` will *always* result in `display_value` strings being written to the dataframe protobuf (even though there isn't any custom formatting). This means that styled DataFrames may result in more data being sent to the frontend now than was the case before. In practice, I don't think this is a big deal - only the legacy DataFrame code has styling support; and often, if you're styling a DataFrame, you're customizing the formatting on most or all of its cells anyway. I also made a number of small type-safety changes as I was working with the dataframe code, and those are all in the PR as well. (I've left a PR comment under the actual logic changes.)

def get_asset_categories(filters): return frappe.db.sql( , {"to_date": filters.to_date, "from_date": filters.from_date, "company": filters.company}, as_dict=1, )

erpnext/accounts/report/asset_depreciations_and_balances/asset_depreciations_and_balances.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

asset_depreciations_and_balances.py

get_asset_categories

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

style: format code with black

def test_get_nodes_for_order_with_int_id(order_list): order_models.Order.objects.update(use_old_id=True) # given global_ids = [to_global_id("Order", order.number) for order in order_list] # Make sure function works even if duplicated ids are provided global_ids.append(to_global_id("Order", order_list[0].number)) # when orders = get_nodes(global_ids, Order) # then assert orders == order_list

saleor/graphql/core/tests/test_graphql.py

saleor

Python

41b87559118f560c223f83d405efe9b406701d17

test_graphql.py

test_get_nodes_for_order_with_int_id

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

Migrate order id from int to UUID (#9324) * Add migration to change order id from int to UUID (#9281) * Change order token to uuid * Migrate order id to uuid * Fix failing tests * Apply code review suggestions * Fix payment migration dependencies * Fix typo in order migration name * Handle old order ids for order queries * Hanlde old order ids for order mutations * Add order relation to GiftCardEvent model * Deprecate order token related queries and fields (#9295) * Deprecate order.token field * Update description of orderByToken query * Update prepare_order_search_document_value method * Update changelog * Update schema file

def serving(self, inputs): return self.call(inputs) CONVNEXT_START_DOCSTRING = r CONVNEXT_INPUTS_DOCSTRING = r @add_start_docstrings( "The bare ConvNext model outputting raw features without any specific head on top.", CONVNEXT_START_DOCSTRING, )

src/transformers/models/convnext/modeling_tf_convnext.py

@add_start_docstrings( "The bare ConvNext model outputting raw features without any specific head on top.", CONVNEXT_START_DOCSTRING, )

transformers

Python

84eaa6acf582206dba33135727dc3bfff05a7e9c

modeling_tf_convnext.py

serving

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

Add TFConvNextModel (#15750) * feat: initial implementation of convnext in tensorflow. * fix: sample code for the classification model. * chore: added checked for from the classification model. * chore: set bias initializer in the classification head. * chore: updated license terms. * chore: removed ununsed imports * feat: enabled argument during using drop_path. * chore: replaced tf.identity with layers.Activation(linear). * chore: edited default checkpoint. * fix: minor bugs in the initializations. * partial-fix: tf model errors for loading pretrained pt weights. * partial-fix: call method updated * partial-fix: cross loading of weights (4x3 variables to be matched) * chore: removed unneeded comment. * removed playground.py * rebasing * rebasing and removing playground.py. * fix: renaming TFConvNextStage conv and layer norm layers * chore: added initializers and other minor additions. * chore: added initializers and other minor additions. * add: tests for convnext. * fix: integration tester class. * fix: issues mentioned in pr feedback (round 1). * fix: how output_hidden_states arg is propoagated inside the network. * feat: handling of arg for pure cnn models. * chore: added a note on equal contribution in model docs. * rebasing * rebasing and removing playground.py. * feat: encapsulation for the convnext trunk. * Fix variable naming; Test-related corrections; Run make fixup * chore: added Joao as a contributor to convnext. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: corrected copyright year and added comment on NHWC. * chore: fixed the black version and ran formatting. * chore: ran make style. * chore: removed from_pt argument from test, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * fix: tests in the convnext subclass, ran make style. * rebasing * rebasing and removing playground.py. * rebasing * rebasing and removing playground.py. * chore: moved convnext test to the correct location * fix: locations for the test file of convnext. * fix: convnext tests. * chore: applied sgugger's suggestion for dealing w/ output_attentions. * chore: added comments. * chore: applied updated quality enviornment style. * chore: applied formatting with quality enviornment. * chore: revert to the previous tests/test_modeling_common.py. * chore: revert to the original test_modeling_common.py * chore: revert to previous states for test_modeling_tf_common.py and modeling_tf_utils.py * fix: tests for convnext. * chore: removed output_attentions argument from convnext config. * chore: revert to the earlier tf utils. * fix: output shapes of the hidden states * chore: removed unnecessary comment * chore: reverting to the right test_modeling_tf_common.py. * Styling nits Co-authored-by: ariG23498 <[email protected]> Co-authored-by: Joao Gante <[email protected]> Co-authored-by: Sylvain Gugger <[email protected]>

def to_pydict(self, *args, **kwargs): return self.table.to_pydict(*args, **kwargs)

src/datasets/table.py

datasets

Python

e35be138148333078284b942ccc9ed7b1d826f97

table.py

to_pydict

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

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]>

def avatar_url(user, size=50, gravatar_only=False): if ( not gravatar_only and hasattr(user, "wagtail_userprofile") and user.wagtail_userprofile.avatar ): return user.wagtail_userprofile.avatar.url if hasattr(user, "email"): gravatar_url = get_gravatar_url(user.email, size=size) if gravatar_url is not None: return gravatar_url return versioned_static_func("wagtailadmin/images/default-user-avatar.png") @register.simple_tag

wagtail/admin/templatetags/wagtailadmin_tags.py

@register.simple_tag

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

wagtailadmin_tags.py

avatar_url

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

Reformat with black

def get_position(self, original=False): if original: return self._originalPosition.frozen() else: locator = self.get_axes_locator() if not locator: self.apply_aspect() return self._position.frozen()

lib/matplotlib/axes/_base.py

matplotlib

Python

383de519505964ed879c40b23ef36e90c17ebe0d

_base.py

get_position

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

[Doc] fix more spelling and grammar

def back(self, title, next, name = "Back", active = 1): if active: flags = 3 # Visible|Enabled else: flags = 1 # Visible return self.pushbutton(name, 180, self.h-27 , 56, 17, flags, title, next)

python3.10.4/Lib/distutils/command/bdist_msi.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

bdist_msi.py

back

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

add python 3.10.4 for windows

def test_insert_new_client_ip_none_device_id(self) -> None: self.reactor.advance(12345678) user_id = "@user:id" # Add & trigger the storage loop self.get_success( self.store.insert_client_ip( user_id, "access_token", "ip", "user_agent", None ) ) self.reactor.advance(200) self.pump(0) result = self.get_success( self.store.db_pool.simple_select_list( table="user_ips", keyvalues={"user_id": user_id}, retcols=["access_token", "ip", "user_agent", "device_id", "last_seen"], desc="get_user_ip_and_agents", ) ) self.assertEqual( result, [ { "access_token": "access_token", "ip": "ip", "user_agent": "user_agent", "device_id": None, "last_seen": 12345678000, } ], ) # Add another & trigger the storage loop self.get_success( self.store.insert_client_ip( user_id, "access_token", "ip", "user_agent", None ) ) self.reactor.advance(10) self.pump(0) result = self.get_success( self.store.db_pool.simple_select_list( table="user_ips", keyvalues={"user_id": user_id}, retcols=["access_token", "ip", "user_agent", "device_id", "last_seen"], desc="get_user_ip_and_agents", ) ) # Only one result, has been upserted. self.assertEqual( result, [ { "access_token": "access_token", "ip": "ip", "user_agent": "user_agent", "device_id": None, "last_seen": 12345878000, } ], )

tests/storage/test_client_ips.py

synapse

Python

3ac412b4e2f8c5ba11dc962b8a9d871c1efdce9b

test_client_ips.py

test_insert_new_client_ip_none_device_id

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

Require types in tests.storage. (#14646) Adds missing type hints to `tests.storage` package and does not allow untyped definitions.

def test_api_unset_storage_path(self, m): m.return_value = "OK" response = self.client.post( "/api/documents/bulk_edit/", json.dumps( { "documents": [self.doc1.id], "method": "set_storage_path", "parameters": {"storage_path": None}, }, ), content_type="application/json", ) self.assertEqual(response.status_code, 200) m.assert_called_once() args, kwargs = m.call_args self.assertListEqual(args[0], [self.doc1.id]) self.assertEqual(kwargs["storage_path"], None)

src/documents/tests/test_api.py

paperless-ngx

Python

53baed03895f28f24113d376b089e3ef281b34ed

test_api.py

test_api_unset_storage_path

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

Increases test coverage of storage paths

def test_update_display_name(self) -> None: # Set new display_name channel = self.make_request( "PUT", self.url, access_token=self.admin_user_tok, content={"display_name": "new displayname"}, ) self.assertEqual(200, channel.code, msg=channel.json_body) # Check new display_name channel = self.make_request( "GET", self.url, access_token=self.admin_user_tok, ) self.assertEqual(200, channel.code, msg=channel.json_body) self.assertEqual("new displayname", channel.json_body["display_name"])

tests/rest/admin/test_device.py

synapse

Python

c97042f7eef3748e17c90e48a4122389a89c4735

test_device.py

test_update_display_name

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

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

def _user_may_move_collection(self, user, instance): if user.is_active and user.is_superuser: return True else: permissions = self.permission_policy._get_permission_objects_for_actions( ["add", "edit", "delete"] ) return not GroupCollectionPermission.objects.filter( group__user=user, permission__in=permissions, collection=instance, ).exists()

wagtail/admin/views/collections.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

collections.py

_user_may_move_collection

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

Reformat with black

def test_predict_proba(loss, global_random_seed): n_samples = 20 y_true, raw_prediction = random_y_true_raw_prediction( loss=loss, n_samples=n_samples, y_bound=(-100, 100), raw_bound=(-5, 5), seed=global_random_seed, ) if hasattr(loss, "predict_proba"): proba = loss.predict_proba(raw_prediction) assert proba.shape == (n_samples, loss.n_classes) assert np.sum(proba, axis=1) == approx(1, rel=1e-11) if hasattr(loss, "gradient_proba"): for grad, proba in ( (None, None), (None, np.empty_like(raw_prediction)), (np.empty_like(raw_prediction), None), (np.empty_like(raw_prediction), np.empty_like(raw_prediction)), ): grad, proba = loss.gradient_proba( y_true=y_true, raw_prediction=raw_prediction, sample_weight=None, gradient_out=grad, proba_out=proba, ) assert proba.shape == (n_samples, loss.n_classes) assert np.sum(proba, axis=1) == approx(1, rel=1e-11) assert_allclose( grad, loss.gradient( y_true=y_true, raw_prediction=raw_prediction, sample_weight=None, gradient_out=None, ), ) @pytest.mark.parametrize("loss", ALL_LOSSES) @pytest.mark.parametrize("sample_weight", [None, "range"]) @pytest.mark.parametrize("dtype", (np.float32, np.float64)) @pytest.mark.parametrize("order", ("C", "F"))

sklearn/_loss/tests/test_loss.py

@pytest.mark.parametrize("loss", ALL_LOSSES) @pytest.mark.parametrize("sample_weight", [None, "range"]) @pytest.mark.parametrize("dtype", (np.float32, np.float64)) @pytest.mark.parametrize("order", ("C", "F"))

scikit-learn

Python

751c5cd05ff545c20ad0b09ac491c07f31e4cd56

test_loss.py

test_predict_proba

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

TST ensure that sklearn/_loss/tests/test_loss.py is seed insensitive (#22847) Co-authored-by: Christian Lorentzen <[email protected]>

def handles(self): self._deprecate("handles") return self._handles

pandas/io/excel/_base.py

pandas

Python

047137ce2619cfe2027e3999dfb92eb614d9a485

_base.py

handles

https://github.com/pandas-dev/pandas.git

DEP: Protect some ExcelWriter attributes (#45795) * DEP: Deprecate ExcelWriter attributes * DEP: Deprecate ExcelWriter attributes * Fixup for test * Move tests and restore check_extension y * Deprecate xlwt fm_date and fm_datetime; doc improvements

def xreplace(self, rule): new_args = [] for mat, frame in self.args: mat = mat.xreplace(rule) new_args.append([mat, frame]) return Vector(new_args)

sympy/physics/vector/vector.py

sympy

Python

9a3ffc6781bd44c47cf49e128ef154389c32876a

vector.py

xreplace

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

Some pep8 cleanup of sympy.physics.vector.

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)

saleor/core/utils/events.py

saleor

Python

89786f24b5296a23c093fcfea90893292473b275

events.py

call_event

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

[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

def _cleanup_discovery_on_remove(self) -> None: if self._discovery_data and not self._removed_from_hass: stop_discovery_updates( self.hass, self._discovery_data, self._remove_discovery_updated ) self._removed_from_hass = True

homeassistant/components/mqtt/mixins.py

core

Python

3b2aae5045f9f08dc8f174c5d975852588e1a132

mixins.py

_cleanup_discovery_on_remove

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

Refactor MQTT discovery (#67966) * Proof of concept * remove notify platform * remove loose test * Add rework from #67912 (#1) * Move notify serviceupdater to Mixins * Move tag discovery handler to Mixins * fix tests * Add typing for async_load_platform_helper * Add add entry unload support for notify platform * Simplify discovery updates * Remove not needed extra logic * Cleanup inrelevant or duplicate code * reuse update_device and move to mixins * Remove notify platform * revert changes to notify platform * Rename update class * unify tag entry setup * Use shared code for device_trigger `update_device` * PoC shared dispatcher for device_trigger * Fix bugs * Improve typing - remove async_update * Unload config_entry and tests * Release dispatcher after setup and deduplicate * closures to methods, revert `in` to `=`, updates * Re-add update support for tag platform * Re-add update support for device-trigger platform * Cleanup rediscovery code revert related changes * Undo discovery code shift * Update homeassistant/components/mqtt/mixins.py Co-authored-by: Erik Montnemery <[email protected]> * Update homeassistant/components/mqtt/device_trigger.py Co-authored-by: Erik Montnemery <[email protected]> * Update homeassistant/components/mqtt/mixins.py Co-authored-by: Erik Montnemery <[email protected]> * revert doc string changes * move conditions * typing and check config_entry_id * Update homeassistant/components/mqtt/mixins.py Co-authored-by: Erik Montnemery <[email protected]> * cleanup not used attribute * Remove entry_unload code and tests * update comment * add second comment Co-authored-by: Erik Montnemery <[email protected]>

def test_keep_media_by_date(self) -> None: # timestamp before upload now_ms = self.clock.time_msec() server_and_media_id = self._create_media() self._access_media(server_and_media_id) channel = self.make_request( "POST", self.url + "?before_ts=" + str(now_ms), access_token=self.admin_user_tok, ) self.assertEqual(200, channel.code, msg=channel.json_body) self.assertEqual(0, channel.json_body["total"]) self._access_media(server_and_media_id) # timestamp after upload now_ms = self.clock.time_msec() channel = self.make_request( "POST", self.url + "?before_ts=" + str(now_ms), access_token=self.admin_user_tok, ) self.assertEqual(200, channel.code, msg=channel.json_body) self.assertEqual(1, channel.json_body["total"]) self.assertEqual( server_and_media_id.split("/")[1], channel.json_body["deleted_media"][0], ) self._access_media(server_and_media_id, False)

tests/rest/admin/test_media.py

synapse

Python

c97042f7eef3748e17c90e48a4122389a89c4735

test_media.py

test_keep_media_by_date

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

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

def external_ray_cluster_activity_hook1(): global ray_cluster_activity_hook_counter ray_cluster_activity_hook_counter += 1 return { "test_component1": TestRayActivityResponse( is_active="ACTIVE", reason=f"Counter: {ray_cluster_activity_hook_counter}", ) }

python/ray/_private/test_utils.py

ray

Python

56716a1c1b6f9aae3967b910a799bb6af9f2c5d9

test_utils.py

external_ray_cluster_activity_hook1

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

[dashboard] Add `RAY_CLUSTER_ACTIVITY_HOOK` to `/api/component_activities` (#26297) Add external hook to /api/component_activities endpoint in dashboard snapshot router Change is_active field of RayActivityResponse to take an enum RayActivityStatus instead of bool. This is a backward incompatible change, but should be ok because [dashboard] Add component_activities API #25996 wasn't included in any branch cuts. RayActivityResponse now supports informing when there was an error getting the activity observation and the reason.

async def test_auth_middleware_loaded_by_default(hass): with patch("homeassistant.components.http.async_setup_auth") as mock_setup: await async_setup_component(hass, "http", {"http": {}}) assert len(mock_setup.mock_calls) == 1

tests/components/http/test_auth.py

core

Python

63f8e437ed0bf79d72286853b7c2e7c01abef91f

test_auth.py

test_auth_middleware_loaded_by_default

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

Add Home Assistant Content user (#64337)

def sum(self, axis=None, dtype=None, keepdims=False, split_every=None, out=None): from dask.array.reductions import sum return sum( self, axis=axis, dtype=dtype, keepdims=keepdims, split_every=split_every, out=out, )

dask/array/core.py

dask

Python

2820bae493a49cb1d0a6e376985c5473b8f04fa8

core.py

sum

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

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

def test_limit_without_orderby_excess_groups_pruned(self): for tag, tag_value in (("tag1", "group1"), ("tag1", "group2")): self.store_release_health_metric( name=SessionMRI.SESSION.value, tags={tag: tag_value}, value=10, minutes_before_now=4, ) for tag, tag_value, numbers in ( ("tag1", "group2", list(range(3))), ("tag1", "group3", list(range(3, 6))), ): for value in numbers: self.store_release_health_metric( name=SessionMRI.ERROR.value, tags={tag: tag_value}, value=value, ) for tag, tag_value, numbers in ( ("tag1", "group4", list(range(3))), ("tag1", "group5", list(range(3, 6))), ): for value in numbers: self.store_release_health_metric( name=SessionMRI.DURATION.value, tags={tag: tag_value}, value=value, ) response = self.get_success_response( self.organization.slug, field=[ f"p50({SessionMetricKey.DURATION.value})", SessionMetricKey.ERRORED.value, "sum(sentry.sessions.session)", ], statsPeriod="1h", interval="1h", groupBy="tag1", per_page=3, ) groups = response.data["groups"] assert len(groups) == 3

tests/sentry/api/endpoints/test_organization_metric_data.py

sentry

Python

c67c560f667e6fc7fee2c6d62ac3987ba54f89d5

test_organization_metric_data.py

test_limit_without_orderby_excess_groups_pruned

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

feat(metrics): Standardize tests and fix overall flakiness [TET-437] (#39660)

def _select_states() -> Select: return select( literal(value=None, type_=sqlalchemy.Text).label("event_id"), literal(value=EVENT_STATE_CHANGED, type_=sqlalchemy.String).label("event_type"), literal(value=None, type_=sqlalchemy.Text).label("event_data"), States.last_updated.label("time_fired"), States.context_id.label("context_id"), States.context_user_id.label("context_user_id"), States.context_parent_id.label("context_parent_id"), literal(value=None, type_=sqlalchemy.Text).label("shared_data"), *STATE_COLUMNS, NOT_CONTEXT_ONLY, )

homeassistant/components/logbook/queries.py

core

Python

0584e84c30903aae07cf16898138ce4e1e8b6be7

queries.py

_select_states

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

Add MySQL index hints to logbook (#71864) * Add MySQL index hints to logbook * fix mysql query planner

def _prepare_options(self) -> None: super()._prepare_options() if not self.options.restart_cmd_alt: # pragma: no cover raise ValueError("OS option restart_cmd_alt must be set for CentOS.") self.options.restart_cmd_alt[0] = self.options.ctl

certbot-apache/certbot_apache/_internal/override_centos.py

certbot

Python

7d9e9a49005de7961e84d2a7c608db57dbab3046

override_centos.py

_prepare_options

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

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

def add_column(self, *args, **kwargs): raise NotImplementedError()

src/datasets/table.py

datasets

Python

e35be138148333078284b942ccc9ed7b1d826f97

table.py

add_column

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

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]>

def write_to_version_file(filename, versions): os.unlink(filename) contents = json.dumps(versions, sort_keys=True, indent=1, separators=(",", ": ")) with open(filename, "w") as f: f.write(SHORT_VERSION_PY % contents) print("set %s to '%s'" % (filename, versions["version"]))

versioneer.py

rembg

Python

f0194812568c83585ff09488fe7f67df300938cc

versioneer.py

write_to_version_file

https://github.com/danielgatis/rembg.git

add auto tag

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

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

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_colorbar.py

minexponent

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

switch to black .22

def bcoo_sum_duplicates(mat, nse=None): data, indices = _bcoo_sum_duplicates(mat.data, mat.indices, spinfo=mat._info, nse=nse) return BCOO((data, indices), shape=mat.shape)

jax/experimental/sparse/bcoo.py

jax

Python

edae0ac31f7493bbe3a7f845dd8f48fc9f5b5760

bcoo.py

bcoo_sum_duplicates

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

[sparse] make bcoo_sum_duplicates a primitive

def _run_sql(self, sql, params, raw=True, output=False, latest=False): toget = 'source_raw' if raw else 'source' sqlfrom = "history" if output: sqlfrom = "history LEFT JOIN output_history USING (session, line)" toget = "history.%s, output_history.output" % toget if latest: toget += ", MAX(session * 128 * 1024 + line)" this_querry = "SELECT session, line, %s FROM %s " % (toget, sqlfrom) + sql cur = self.db.execute(this_querry, params) if latest: cur = (row[:-1] for row in cur) if output: # Regroup into 3-tuples, and parse JSON return ((ses, lin, (inp, out)) for ses, lin, inp, out in cur) return cur

IPython/core/history.py

ipython

Python

dc5bcc1c50892a5128fcf128af28887226144927

history.py

_run_sql

https://github.com/ipython/ipython.git

This fixed the mixing of multiple history seen in #13631 It forces get_tail to put the current session last in the returned results.

async def test_registered_no_pin_required(hass, user_form): with patch(MOCK_API_CONNECT, return_value=True), patch( MOCK_API_DEVICE_REGISTERED, new_callable=PropertyMock ) as mock_device_registered, patch(MOCK_API_IS_PIN_REQUIRED, return_value=False): mock_device_registered.return_value = True await hass.config_entries.flow.async_configure( user_form["flow_id"], user_input=TEST_CREDS )

tests/components/subaru/test_config_flow.py

core

Python

ab0abdc988ac101217ba043909c4be8b33101ab3

test_config_flow.py

test_registered_no_pin_required

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

Add 2FA support for Subaru integration setup (#68753) * Add 2FA support for Subaru integration setup * Update config flow to abort with 2FA request fail

def test_model_panels(self): response = self.client.get('/admin/modeladmintest/friend/create/') self.assertEqual( list(response.context['form'].fields), ['first_name', 'phone_number'] )

wagtail/contrib/modeladmin/tests/test_modeladmin_edit_handlers.py

wagtail

Python

de3fcba9e95818e9634ab7de6bfcb1f4221f2775

test_modeladmin_edit_handlers.py

test_model_panels

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

Fix warnings from flake8-comprehensions.

def get_ordered_to_be_billed_data(args): doctype, party = args.get("doctype"), args.get("party") child_tab = doctype + " Item" precision = ( get_field_precision( frappe.get_meta(child_tab).get_field("billed_amt"), currency=get_default_currency() ) or 2 ) project_field = get_project_field(doctype, party) return frappe.db.sql( .format( parent_tab="tab" + doctype, child_tab="tab" + child_tab, precision=precision, party=party, date_field=args.get("date"), project_field=project_field, order=args.get("order"), order_by=args.get("order_by"), ) )

erpnext/accounts/report/non_billed_report.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

non_billed_report.py

get_ordered_to_be_billed_data

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

style: format code with black

def parseFragment(doc, container="div", treebuilder="etree", namespaceHTMLElements=True, **kwargs): tb = treebuilders.getTreeBuilder(treebuilder) p = HTMLParser(tb, namespaceHTMLElements=namespaceHTMLElements) return p.parseFragment(doc, container=container, **kwargs)

.venv/lib/python3.8/site-packages/pip/_vendor/html5lib/html5parser.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

html5parser.py

parseFragment

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

upd; format

def _preprocess(self, inputs): inputs = self._check_input_text(inputs) self._max_cls_len = 5 num_workers = self.kwargs[ 'num_workers'] if 'num_workers' in self.kwargs else 0 lazy_load = self.kwargs[ 'lazy_load'] if 'lazy_load' in self.kwargs else False # Prompt template: input_text + "是" + "[MASK]" * cls_seq_length prompt_template = ["是"] + ["[MASK]"] * self._max_cls_len

paddlenlp/taskflow/knowledge_mining.py

PaddleNLP

Python

621357338437ee420eabbbf5ab19065bc85e73a5

knowledge_mining.py

_preprocess

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

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]>

def test_server_side_settings_are_used_if_present(self, patch_import, tmp_path): d = Deployment( name="TEST", flow_name="fn", description="server-side value", version="server", parameters={"key": "server"}, tags=["server-tag"], work_queue_name="dev", ) assert d.apply() invoke_and_assert( [ "deployment", "build", "fake-path.py:fn", "-n", "TEST", "-o", str(tmp_path / "test.yaml"), ], expected_code=0, temp_dir=tmp_path, ) deployment = Deployment.load_from_yaml(tmp_path / "test.yaml") assert deployment.description == "server-side value" assert deployment.tags == ["server-tag"] assert deployment.parameters == dict(key="server") assert deployment.work_queue_name == "dev"

tests/cli/test_deployment_cli.py

prefect

Python

451688c6aa1350bb3967d0d72b95e9da311de5d7

test_deployment_cli.py

test_server_side_settings_are_used_if_present

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

Further merge CLI and Python code paths

def test_transformer_size_gets_corrected(train_persist_load_with_different_settings,): pipeline = [ {"component": WhitespaceTokenizer}, {"component": CountVectorsFeaturizer}, ] config_params = {EPOCHS: 1, NUM_TRANSFORMER_LAYERS: 1} selector = train_persist_load_with_different_settings( pipeline, config_params, False, ) assert selector.component_config[TRANSFORMER_SIZE] == DEFAULT_TRANSFORMER_SIZE @pytest.mark.timeout(120)

tests/nlu/selectors/test_selectors.py

@pytest.mark.timeout(120)

rasa

Python

c687960f44e2ad07ccd48ddbccda26cb18a9d1c7

test_selectors.py

test_transformer_size_gets_corrected

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

correct transformer_size value if needed

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

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

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_annotation.py

valign

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

switch to black .22

def check_permissions(cls, context, permissions=None): all_permissions = permissions or cls._meta.permissions if not all_permissions: return True authorization_filters = [ p for p in all_permissions if isinstance(p, AuthorizationFilters) ] permissions = [ p for p in all_permissions if not isinstance(p, AuthorizationFilters) ] granted_by_permissions = False granted_by_authorization_filters = False app = getattr(context, "app", None) if app and permissions and AccountPermissions.MANAGE_STAFF in permissions: # `MANAGE_STAFF` permission for apps is not supported. If apps could use it # they could create a staff user with full access which would be a # permission leak issue. return False requestor = get_user_or_app_from_context(context) if permissions: granted_by_permissions = requestor.has_perms(permissions) if authorization_filters: internal_perm_checks = [] for p in authorization_filters: perm_fn = resolve_authorization_filter_fn(p) if perm_fn: res = perm_fn(context) internal_perm_checks.append(bool(res)) granted_by_authorization_filters = any(internal_perm_checks) return granted_by_permissions or granted_by_authorization_filters

saleor/graphql/core/mutations.py

saleor

Python

ab45ebda5a14df6806046fd552e2c6d08f025503

mutations.py

check_permissions

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

Better permissions (#9363) * Better permissions * Add OWNER permission * WIP Add enums to represent function-based permissions * Rename OWNER to IS_OWNER * Add flag to skip autogenerated permission message * Rename InternalPermissions to PermissionFunctions * Add permission descriptions for meta mutations * Better permissions validation * Reuse user checking functions * Rename permission functions enums * Update schema * Rename permission functions enums

def enabled(): which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'stdlib') return which == 'local'

.venv/lib/python3.8/site-packages/_distutils_hack/__init__.py

transferlearning

Python

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

__init__.py