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semeru

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

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Semeru Lab 7

def entry_points(group=None): eps = importlib.metadata.entry_points() if group: try: return eps.select(group=group) except AttributeError: return eps.get(group, []) return eps

dask/compatibility.py

dask

Python

a9ee6c2fdf0a3093747e675997143e0dbe584bad

compatibility.py

entry_points

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

Add `entry_points` compatibility utility (#9388)

def eval_sum_residue(f, i_a_b): r i, a, b = i_a_b

sympy/concrete/summations.py

sympy

Python

df873af365fff5b89164ed8eb3a1b62b6180f1bb

summations.py

eval_sum_residue

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

replaced i with a dummy symbol with no assumptions for get_residue_factor

def test_vtrace(self): seq_len = 5 batch_size = 10 # Create log_rhos such that rho will span from near-zero to above the # clipping thresholds. In particular, calculate log_rhos in # [-2.5, 2.5), # so that rho is in approx [0.08, 12.2). space_w_time = Box(-1.0, 1.0, (seq_len, batch_size), np.float32) space_only_batch = Box(-1.0, 1.0, (batch_size,), np.float32) log_rhos = space_w_time.sample() / (batch_size * seq_len) log_rhos = 5 * (log_rhos - 0.5) # [0.0, 1.0) -> [-2.5, 2.5). values = { "log_rhos": log_rhos, # T, B where B_i: [0.9 / (i+1)] * T "discounts": np.array( [[0.9 / (b + 1) for b in range(batch_size)] for _ in range(seq_len)] ), "rewards": space_w_time.sample(), "values": space_w_time.sample() / batch_size, "bootstrap_value": space_only_batch.sample() + 1.0, "clip_rho_threshold": 3.7, "clip_pg_rho_threshold": 2.2, } for fw, sess in framework_iterator(frameworks=("torch", "tf"), session=True): vtrace = vtrace_tf if fw != "torch" else vtrace_torch output = vtrace.from_importance_weights(**values) if sess: output = sess.run(output) ground_truth_v = _ground_truth_calculation(vtrace, **values) check(output, ground_truth_v)

rllib/agents/impala/tests/test_vtrace.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

test_vtrace.py

test_vtrace

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 test_kb_valid_entities(nlp): mykb = InMemoryLookupKB(nlp.vocab, entity_vector_length=3) # adding entities mykb.add_entity(entity="Q1", freq=19, entity_vector=[8, 4, 3]) mykb.add_entity(entity="Q2", freq=5, entity_vector=[2, 1, 0]) mykb.add_entity(entity="Q3", freq=25, entity_vector=[-1, -6, 5]) # adding aliases mykb.add_alias(alias="douglas", entities=["Q2", "Q3"], probabilities=[0.8, 0.2]) mykb.add_alias(alias="adam", entities=["Q2"], probabilities=[0.9]) # test the size of the corresponding KB assert mykb.get_size_entities() == 3 assert mykb.get_size_aliases() == 2 # test retrieval of the entity vectors assert mykb.get_vector("Q1") == [8, 4, 3] assert mykb.get_vector("Q2") == [2, 1, 0] assert mykb.get_vector("Q3") == [-1, -6, 5] # test retrieval of prior probabilities assert_almost_equal(mykb.get_prior_prob(entity="Q2", alias="douglas"), 0.8) assert_almost_equal(mykb.get_prior_prob(entity="Q3", alias="douglas"), 0.2) assert_almost_equal(mykb.get_prior_prob(entity="Q342", alias="douglas"), 0.0) assert_almost_equal(mykb.get_prior_prob(entity="Q3", alias="douglassssss"), 0.0)

spacy/tests/pipeline/test_entity_linker.py

spaCy

Python

1f23c615d7a7326ca5a38a7d768b8b70caaa0e17

test_entity_linker.py

test_kb_valid_entities

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

Refactor KB for easier customization (#11268) * Add implementation of batching + backwards compatibility fixes. Tests indicate issue with batch disambiguation for custom singular entity lookups. * Fix tests. Add distinction w.r.t. batch size. * Remove redundant and add new comments. * Adjust comments. Fix variable naming in EL prediction. * Fix mypy errors. * Remove KB entity type config option. Change return types of candidate retrieval functions to Iterable from Iterator. Fix various other issues. * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <[email protected]> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <[email protected]> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <[email protected]> * Update spacy/kb_base.pyx Co-authored-by: Paul O'Leary McCann <[email protected]> * Update spacy/pipeline/entity_linker.py Co-authored-by: Paul O'Leary McCann <[email protected]> * Add error messages to NotImplementedErrors. Remove redundant comment. * Fix imports. * Remove redundant comments. * Rename KnowledgeBase to InMemoryLookupKB and BaseKnowledgeBase to KnowledgeBase. * Fix tests. * Update spacy/errors.py Co-authored-by: Sofie Van Landeghem <[email protected]> * Move KB into subdirectory. * Adjust imports after KB move to dedicated subdirectory. * Fix config imports. * Move Candidate + retrieval functions to separate module. Fix other, small issues. * Fix docstrings and error message w.r.t. class names. Fix typing for candidate retrieval functions. * Update spacy/kb/kb_in_memory.pyx Co-authored-by: Sofie Van Landeghem <[email protected]> * Update spacy/ml/models/entity_linker.py Co-authored-by: Sofie Van Landeghem <[email protected]> * Fix typing. * Change typing of mentions to be Span instead of Union[Span, str]. * Update docs. * Update EntityLinker and _architecture docs. * Update website/docs/api/entitylinker.md Co-authored-by: Paul O'Leary McCann <[email protected]> * Adjust message for E1046. * Re-add section for Candidate in kb.md, add reference to dedicated page. * Update docs and docstrings. * Re-add section + reference for KnowledgeBase.get_alias_candidates() in docs. * Update spacy/kb/candidate.pyx * Update spacy/kb/kb_in_memory.pyx * Update spacy/pipeline/legacy/entity_linker.py * Remove canididate.md. Remove mistakenly added config snippet in entity_linker.py. Co-authored-by: Paul O'Leary McCann <[email protected]> Co-authored-by: Sofie Van Landeghem <[email protected]>

def delete(self, name): raise NotImplementedError( "subclasses of Storage must provide a delete() method" )

django/core/files/storage.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

storage.py

delete

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

Refs #33476 -- Reformatted code with Black.

def test_sort_indicators_admin_order(self): models = [ (AdminOrderedField, "adminorderedfield"), (AdminOrderedModelMethod, "adminorderedmodelmethod"), (AdminOrderedAdminMethod, "adminorderedadminmethod"), (AdminOrderedCallable, "adminorderedcallable"), ] for model, url in models: model.objects.create(stuff="The Last Item", order=3) model.objects.create(stuff="The First Item", order=1) model.objects.create(stuff="The Middle Item", order=2) response = self.client.get( reverse("admin:admin_views_%s_changelist" % url), {} ) # Should have 3 columns including action checkbox col. self.assertContains(response, '<th scope="col"', count=3, msg_prefix=url) # Check if the correct column was selected. 2 is the index of the # 'order' column in the model admin's 'list_display' with 0 being # the implicit 'action_checkbox' and 1 being the column 'stuff'. self.assertEqual( response.context["cl"].get_ordering_field_columns(), {2: "asc"} ) # Check order of records. self.assertContentBefore(response, "The First Item", "The Middle Item") self.assertContentBefore(response, "The Middle Item", "The Last Item")

tests/admin_views/tests.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

test_sort_indicators_admin_order

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

Refs #33476 -- Reformatted code with Black.

def __setattr__(self, name, value): if name in ("power_status", "status"): self._values[name] = value self._update() else: super().__setattr__(name, value)

tests/components/hdmi_cec/__init__.py

core

Python

7cd4be1310b3f76398b4404d3f4ecb26b9533cee

__init__.py

__setattr__

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

Add tests for the HDMI-CEC integration (#75094) * Add basic tests to the HDMI-CEC component * Add tests for the HDMI-CEC switch component * Add test for watchdog code * Start adding tests for the HDMI-CEC media player platform Also some cleanup and code move. * Add more tests for media_player And cleanup some switch tests. * Improve xfail message for features * Align test pyCEC dependency with main dependency * Make fixtures snake_case * Cleanup call asserts * Cleanup service tests * fix issues with media player tests * Cleanup MockHDMIDevice class * Cleanup watchdog tests * Add myself as code owner for the HDMI-CEC integration * Fix async fire time changed time jump * Fix event api sync context * Delint tests * Parametrize watchdog test Co-authored-by: Martin Hjelmare <[email protected]>

def remove_child_handler(self, pid): raise NotImplementedError()

python3.10.4/Lib/asyncio/unix_events.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

unix_events.py

remove_child_handler

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

add python 3.10.4 for windows

def _set_modes_and_presets(self) -> None: all_modes: dict[HVACMode, int | None] = {} all_presets: dict[str, int | None] = {PRESET_NONE: None} # Z-Wave uses one list for both modes and presets. # Iterate over all Z-Wave ThermostatModes and extract the hvac modes and presets. if self._current_mode is None: self._hvac_modes = { ZW_HVAC_MODE_MAP[ThermostatMode.HEAT]: ThermostatMode.HEAT } return for mode_id, mode_name in self._current_mode.metadata.states.items(): mode_id = int(mode_id) if mode_id in THERMOSTAT_MODES: # treat value as hvac mode if hass_mode := ZW_HVAC_MODE_MAP.get(mode_id): all_modes[hass_mode] = mode_id else: # treat value as hvac preset all_presets[mode_name] = mode_id self._hvac_modes = all_modes self._hvac_presets = all_presets

homeassistant/components/zwave_js/climate.py

core

Python

24b4690e5d855be362613583a3ba6fd6f60e9929

climate.py

_set_modes_and_presets

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

Use climate enums in zwave_js (#70757)

def __next__(self) -> Any: if not len(self.loader_iters) == len(self.loaders): raise RuntimeError('loader_iters must have the same length as loaders.') for i, (loader_name, iterator) in enumerate(self.loader_iters.items()): try: return (self.request_next_batch(iterator), loader_name) except StopIteration: if i + 1 == len(self.loader_iters): raise

nni/retiarii/oneshot/pytorch/dataloader.py

nni

Python

39ec21ca1118e7a8df533aa06bcb5e515a93aa02

dataloader.py

__next__

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

Multi-GPU support of one-shot NAS (#4603)

def register(self, cmap, *, name=None, force=False): name = name or cmap.name if name in self and not force: raise ValueError( f'A colormap named "{name}" is already registered.') register_cmap(name, cmap.copy()) _cmap_registry = _gen_cmap_registry() globals().update(_cmap_registry) # This is no longer considered public API cmap_d = _DeprecatedCmapDictWrapper(_cmap_registry) __builtin_cmaps = tuple(_cmap_registry) # public access to the colormaps should be via `matplotlib.colormaps`. For now, # we still create the registry here, but that should stay an implementation # detail. _colormaps = ColormapRegistry(_cmap_registry)

lib/matplotlib/cm.py

matplotlib

Python

917c7c8b2cecf3ff85ed7527bb2aca13779fac13

cm.py

register

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

Add missing space before : for parameters

def config_test(self) -> None: os_info = util.get_os_info() fedora = os_info[0].lower() == "fedora" try: super().config_test() except errors.MisconfigurationError: if fedora: self._try_restart_fedora() else: raise

certbot-apache/certbot_apache/_internal/override_centos.py

certbot

Python

7d9e9a49005de7961e84d2a7c608db57dbab3046

override_centos.py

config_test

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 find_location(self, root, path, prefix=None): if prefix: prefix = "%s%s" % (prefix, os.sep) if not path.startswith(prefix): return None path = path[len(prefix) :] path = safe_join(root, path) if os.path.exists(path): return path

django/contrib/staticfiles/finders.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

finders.py

find_location

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

Refs #33476 -- Reformatted code with Black.

def del_store(name, store, saltenv="base"): ret = {"name": name, "result": True, "comment": "", "changes": {}} cert_file = __salt__["cp.cache_file"](name, saltenv) if cert_file is False: ret["comment"] = "Certificate file not found: {}".format(name) ret["result"] = False return ret cert_serial = __salt__["certutil.get_cert_serial"](name) if cert_serial is None: ret["comment"] = "Invalid certificate file: {}".format(name) ret["result"] = False return ret old_serials = __salt__["certutil.get_stored_cert_serials"](store=store) if cert_serial not in old_serials: ret["comment"] = "Certificate already absent: {}".format(name) return ret if __opts__["test"]: ret["comment"] = "Certificate will be removed: {}".format(name) ret["result"] = None return ret retcode = __salt__["certutil.del_store"](name, store, retcode=True) if retcode != 0: ret["comment"] = "Error removing certificate: {}".format(name) ret["result"] = False return ret new_serials = __salt__["certutil.get_stored_cert_serials"](store=store) if cert_serial not in new_serials: ret["changes"]["removed"] = name ret["comment"] = "Removed certificate: {}".format(name) else: ret["comment"] = "Failed to remove certificate: {}".format(name) ret["result"] = False return ret

salt/states/win_certutil.py

salt

Python

a8d2d1e1397cdc79b2c5f1ad7f6e3b729dcf8857

win_certutil.py

del_store

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

Add tests, fix state module

def _load_raw(self, datapath): if not PathManager.exists(datapath): raise RuntimeError( f'Conversations at path {datapath} not found. ' 'Double check your path.' ) with PathManager.open(datapath, 'r') as f: lines = f.read().splitlines() for line in lines: yield line

parlai/utils/conversations.py

ParlAI

Python

74e12d10bdf6e8f8abc82056e00d6e2360b871af

conversations.py

_load_raw

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

[teachers] Speed up conversations teacher (#4404) * Speed up conversations teacher. * Whoops. * Okay let's try bringing back train mode. * Update test_conversations.py * Update conversations.py * Update test.py

def Error(filename, linenum, category, confidence, message): if _ShouldPrintError(category, confidence, linenum): _cpplint_state.IncrementErrorCount(category) if _cpplint_state.output_format == 'vs7': sys.stderr.write('%s(%s): %s [%s] [%d]\n' % ( filename, linenum, message, category, confidence)) elif _cpplint_state.output_format == 'eclipse': sys.stderr.write('%s:%s: warning: %s [%s] [%d]\n' % ( filename, linenum, message, category, confidence)) else: sys.stderr.write('%s:%s: %s [%s] [%d]\n' % ( filename, linenum, message, category, confidence)) # Matches standard C++ escape sequences per 2.13.2.3 of the C++ standard. _RE_PATTERN_CLEANSE_LINE_ESCAPES = re.compile( r'\\([abfnrtv?"\\\']|\d+|x[0-9a-fA-F]+)') # Matches strings. Escape codes should already be removed by ESCAPES. _RE_PATTERN_CLEANSE_LINE_DOUBLE_QUOTES = re.compile(r'"[^"]*"') # Matches characters. Escape codes should already be removed by ESCAPES. _RE_PATTERN_CLEANSE_LINE_SINGLE_QUOTES = re.compile(r"'.'") # Matches multi-line C++ comments. # This RE is a little bit more complicated than one might expect, because we # have to take care of space removals tools so we can handle comments inside # statements better. # The current rule is: We only clear spaces from both sides when we're at the # end of the line. Otherwise, we try to remove spaces from the right side, # if this doesn't work we try on left side but only if there's a non-character # on the right. _RE_PATTERN_CLEANSE_LINE_C_COMMENTS = re.compile( r, re.VERBOSE)

code/deep/BJMMD/caffe/scripts/cpp_lint.py

transferlearning

Python

cc4d0564756ca067516f71718a3d135996525909

cpp_lint.py

Error

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

Balanced joint maximum mean discrepancy for deep transfer learning

def _new_batch_builder(self, _) -> _PolicyCollectorGroup: return _PolicyCollectorGroup(self._worker.policy_map)

rllib/evaluation/env_runner_v2.py

ray

Python

52bb8e47d483082e528fc8595005e0813a46efb8

env_runner_v2.py

_new_batch_builder

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

[RLlib] EnvRunnerV2 and EpisodeV2 that support Connectors. (#25922)

def test_huggingface_text_generation() -> None: llm = HuggingFaceHub(repo_id="gpt2", model_kwargs={"max_new_tokens": 10}) output = llm("Say foo:") assert isinstance(output, str)

tests/integration_tests/llms/test_huggingface_hub.py

langchain

Python

b9f61390e9cf7f4b8b809cba56392d1f7b3ef6e6

test_huggingface_hub.py

test_huggingface_text_generation

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

add text2text generation (#93) fixes issue #90

def parse_options(self, server_name=None, from_ip=None, ip=None): self.ServerName = server_name self.ip = ip if isinstance(from_ip, str): self.from_ip = Net(from_ip) else: self.from_ip = from_ip

scapy/layers/netbios.py

scapy

Python

dd7a5c97d68c00d1d03ecf8ac27c6c7038525065

netbios.py

parse_options

https://github.com/secdev/scapy.git

Answering machines improvements (NBNS/DNS/LLMNR) (#3699) * Minor NBNS improvements * Improve Netbios/LLMNR/DNS answering machines * DNS_am: support IPv6 * More customization of some answering machines

def check_classification_targets(y): y_type = type_of_target(y, input_name="y") if y_type not in [ "binary", "multiclass", "multiclass-multioutput", "multilabel-indicator", "multilabel-sequences", ]: raise ValueError("Unknown label type: %r" % y_type)

sklearn/utils/multiclass.py

scikit-learn

Python

f9d74236e26f6169b32e23887f30879c32ac76c7

multiclass.py

check_classification_targets

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

fix docstring of dict_learning.sparse_encode and multiclass.check_classification_targets #21350 #pariswimlds (#22793) * fix docstring * fixed linting in multiclass * fixed linting in dict learning * fixed linting in dict learning * fixed linting in dict learning * fixed linting in dict learning * fixed linting in dict learning Co-authored-by: Sakina <[email protected]>

async def wma_command(ctx, ticker="", window="", offset="", start="", end=""): try: # Debug if cfg.DEBUG: logger.debug( "!stocks.ta.wma %s %s %s %s %s", ticker, window, offset, start, end, ) # Check for argument if ticker == "": raise Exception("Stock ticker is required") if start == "": start = datetime.now() - timedelta(days=365) else: start = datetime.strptime(start, cfg.DATE_FORMAT) if end == "": end = datetime.now() else: end = datetime.strptime(end, cfg.DATE_FORMAT) l_legend = [ticker] if window == "": window = [20, 50] else: window_temp = list() for wind in window.split(","): try: window_temp.append(float(wind)) except Exception as e: raise Exception("Window needs to be a float") from e window = window_temp if offset == "": offset = 0 else: if not offset.lstrip("-").isnumeric(): raise Exception("Number has to be an integer") offset = float(offset) ticker = ticker.upper() stock = discordbot.helpers.load(ticker, start) if stock.empty: raise Exception("Stock ticker is invalid") # Retrieve Data price_df = pd.DataFrame( stock["Adj Close"].values, columns=["Price"], index=stock.index ) i = 1 for win in window: wma_data = overlap_model.wma( s_interval="1440min", df_stock=stock, length=win, offset=offset ) price_df = price_df.join(wma_data) l_legend.append(f"WMA {win}") i += 1 # Output Data start = start.strftime("%Y-%m-%d") end = end.strftime("%Y-%m-%d") price_df = price_df.loc[(price_df.index >= start) & (price_df.index < end)] fig, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI) ax.set_title(f"{ticker} WMA") ax.plot(price_df.index, price_df["Price"], lw=3, c="k") ax.set_xlabel("Time") ax.set_xlim([price_df.index[0], price_df.index[-1]]) ax.set_ylabel(f"{ticker} Price") for idx in range(1, price_df.shape[1]): ax.plot(price_df.iloc[:, idx]) ax.legend(l_legend) ax.grid(b=True, which="major", color="#666666", linestyle="-") plt.gcf().autofmt_xdate() fig.tight_layout(pad=1) plt.savefig("ta_wma.png") uploaded_image = gst_imgur.upload_image("ta_wma.png", title="something") image_link = uploaded_image.link if cfg.DEBUG: logger.debug("Image URL: %s", image_link) title = "Stocks: Weighted-Moving-Average " + ticker embed = discord.Embed(title=title, colour=cfg.COLOR) embed.set_author( name=cfg.AUTHOR_NAME, icon_url=cfg.AUTHOR_ICON_URL, ) embed.set_image(url=image_link) os.remove("ta_wma.png") await ctx.send(embed=embed) except Exception as e: embed = discord.Embed( title="ERROR Stocks: Weighted-Moving-Average", colour=cfg.COLOR, description=e, ) embed.set_author( name=cfg.AUTHOR_NAME, icon_url=cfg.AUTHOR_ICON_URL, ) await ctx.send(embed=embed)

discordbot/stocks/technical_analysis/wma.py

OpenBBTerminal

Python

f40ba0d256a78ab2b8461f0df3a9a52ca7dc5704

wma.py

wma_command

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

Bot logging fix (#1105) * Write bot logs to stdout instead of a file Heroku's logging uses the stdout and has problems with files * Send "you snooze you lose" only if debug flag is enabled * Replace print statements with logger entries in the economy menu * Add logging to bot menu command calls * Silence bandit warnings about the REPLACE_ME token * Organize imports and update logging in economy menu * Organize imports and update logging in dps menu * Organize imports and update logging in dd menu * Organize imports and update logging in gov menu * Organize imports and update logging in options menu * Organize imports and update logging in screener menu * Organize imports and update logging in ta menu * Revert automatic import sorting * Add logging to the options reaction helper

def test_worker_group_replicas(group_index, expected_max_replicas, expected_replicas): raycluster = get_basic_ray_cr() # Add a worker group without maxReplicas to confirm behavior # when maxReplicas is not specified. no_max_replicas_group = copy.deepcopy(raycluster["spec"]["workerGroupSpecs"][0]) no_max_replicas_group["groupName"] = "no-max-replicas" del no_max_replicas_group["maxReplicas"] # Also, replicas field, just for the sake of testing. no_max_replicas_group["replicas"] = 0 raycluster["spec"]["workerGroupSpecs"].append(no_max_replicas_group) assert _worker_group_max_replicas(raycluster, group_index) == expected_max_replicas assert _worker_group_replicas(raycluster, group_index) == expected_replicas @pytest.mark.skipif(sys.platform.startswith("win"), reason="Not relevant on Windows.") @pytest.mark.parametrize( "attempted_target_replica_count,expected_target_replica_count", [(200, 200), (250, 250), (300, 300), (400, 300), (1000, 300)], )

python/ray/tests/kuberay/test_kuberay_node_provider.py

@pytest.mark.skipif(sys.platform.startswith("win"), reason="Not relevant on Windows.") @pytest.mark.parametrize( "attempted_target_replica_count,expected_target_replica_count", [(200, 200), (250, 250), (300, 300), (400, 300), (1000, 300)], )

ray

Python

c976799dfd96806ec9972a287835f7a034ec3d2c

test_kuberay_node_provider.py

test_worker_group_replicas

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

KubeRay node provider refactor (#30281) Implements KubeRay node provider as a "BatchingNodeProvider". Builds on #29933. Summary of design An autoscaler update now works like this: list pod data from k8s check if it's safe to proceed with update. Abort the update if not. do some internal calculation to determine desired scale submit a single patch to the RayCluster CR if a scale change is required Everything is single-threaded and there are O(1) K8s API calls per autoscaler update. Signed-off-by: Dmitri Gekhtman <[email protected]>

def test_resolve_forward_ref_dataclass(create_module): module = create_module( # language=Python

tests/test_forward_ref.py

module = create_module( # language=Python """@dataclass

pydantic

Python

594effa279668bd955e98f1cd5c036b37d3bbd40

test_forward_ref.py

test_resolve_forward_ref_dataclass

https://github.com/pydantic/pydantic.git

Switching to `pydantic_core` (#4516) * working on core schema generation * adapting main.py * getting tests to run * fix tests * disable pyright, fix mypy * moving to class-based model generation * working on validators * change how models are created * start fixing test_main.py * fixing mypy * SelfType * recursive models working, more tests fixed * fix tests on <3.10 * get docs build to pass * starting to cleanup types.py * starting works on custom types * working on using annotated-types * using annoated types for constraints * lots of cleanup, fixing network tests * network tests passing :tada: * working on types * working on types and cleanup * fixing UUID type, restructing again * more types and newer pydantic-core * working on Iterable * more test_types tests * support newer pydantic-core, fixing more test_types.py * working through more test_types.py * test_types.py at last passing locally :tada: * fixing more tests in test_types.py * fix datetime_parse tests and linting * get tests running again, rename to test_datetime.py * renaming internal modules * working through mypy errors * fixing mypy * refactoring _generate_schema.py * test_main.py passing * uprev deps * fix conftest and linting? * importing Annotated * ltining * import Annotated from typing_extensions * fixing 3.7 compatibility * fixing tests on 3.9 * fix linting * fixing SecretField and 3.9 tests * customising get_type_hints * ignore warnings on 3.11 * spliting repr out of utils * removing unused bits of _repr, fix tests for 3.7 * more cleanup, removing many type aliases * clean up repr * support namedtuples and typeddicts * test is_union * removing errors, uprev pydantic-core * fix tests on 3.8 * fixing private attributes and model_post_init * renaming and cleanup * remove unnecessary PydanticMetadata inheritance * fixing forward refs and mypy tests * fix signatures, change how xfail works * revert mypy tests to 3.7 syntax * correct model title * try to fix tests * fixing ClassVar forward refs * uprev pydantic-core, new error format * add "force" argument to model_rebuild * Apply suggestions from code review Suggestions from @tiangolo and @hramezani :pray: Co-authored-by: Hasan Ramezani <[email protected]> Co-authored-by: Sebastián Ramírez <[email protected]> * more suggestions from @tiangolo * extra -> json_schema_extra on Field Co-authored-by: Hasan Ramezani <[email protected]> Co-authored-by: Sebastián Ramírez <[email protected]>

def subplot2grid(shape, loc, rowspan=1, colspan=1, fig=None, **kwargs): if fig is None: fig = gcf() rows, cols = shape gs = GridSpec._check_gridspec_exists(fig, rows, cols) subplotspec = gs.new_subplotspec(loc, rowspan=rowspan, colspan=colspan) ax = fig.add_subplot(subplotspec, **kwargs) axes_to_delete = [other for other in fig.axes if other != ax and ax.bbox.fully_overlaps(other.bbox)] if axes_to_delete: _api.warn_deprecated( "3.6", message="Auto-removal of overlapping axes is deprecated " "since %(since)s and will be removed %(removal)s; explicitly call " "ax.remove() as needed.") for ax_to_del in axes_to_delete: delaxes(ax_to_del) return ax

lib/matplotlib/pyplot.py

matplotlib

Python

23338c7eb4b315cd4af0c57b61afc80f8c2086f9

pyplot.py

subplot2grid

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

Deprecate auto-removal of overlapping Axes by plt.subplot{,2grid}. In particular, note that the OO add_subplot does not have this behavior.

def migrate_product_tax_codes(apps, _schema_editor): Product = apps.get_model("product", "Product") ProductType = apps.get_model("product", "ProductType") TaxClass = apps.get_model("tax", "TaxClass") query = Q(metadata__has_key=VATLAYER_CODE_META_KEY) | Q( metadata__has_key=AVATAX_CODE_META_KEY ) tax_class_metadata = {} product_types = ( ProductType.objects.filter(query).values("id", "metadata").order_by("pk") ) for batch_pks in queryset_in_batches(product_types): tax_classes_from_product_types = defaultdict(list) product_types = ProductType.objects.filter(pk__in=batch_pks) for product_type in product_types: tax_class_name, metadata = _populate_tax_class_name_and_metadata( product_type ) if tax_class_name: tax_classes_from_product_types[tax_class_name].append(product_type.pk) tax_class_metadata[tax_class_name] = metadata for name, ids in tax_classes_from_product_types.items(): tax_class, _ = TaxClass.objects.get_or_create( name=name, metadata=tax_class_metadata.get(name, {}) ) ProductType.objects.filter(id__in=ids).update(tax_class=tax_class) products = Product.objects.filter(query).values("id", "metadata").order_by("pk") tax_classes_from_products = defaultdict(list) for batch_pks in queryset_in_batches(products): products = Product.objects.filter(pk__in=batch_pks) for product in products: tax_class_name, metadata = _populate_tax_class_name_and_metadata(product) if tax_class_name: tax_classes_from_products[tax_class_name].append(product.pk) tax_class_metadata[tax_class_name] = metadata for name, ids in tax_classes_from_products.items(): tax_class, _ = TaxClass.objects.get_or_create( name=name, metadata=tax_class_metadata.get(name, {}) ) Product.objects.filter(id__in=ids).update(tax_class=tax_class)

saleor/tax/migrations/0004_migrate_tax_classes.py

saleor

Python

67df28935c555fdd673f17e8c9183e24dde7c51f

0004_migrate_tax_classes.py

migrate_product_tax_codes

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

Simple (flat rate) taxes API (#9784) * Add empty tax module * Add tax models (#9839) * Add tax API queries (#9856) * Add MANAGE_TAXES permission * Add tax configuration queries * Create tax configuration when channel is created * Drop sorters for now * Add TaxConfigurationPerCountry type * Update migration * Add metadata to TaxConfiguration type * Add tests for tax configuration queries * Add TaxClass types * Improve tests * Add queries for tax configuration per country * Fix query in tests * Update query cost map * Add tax API mutations (#9934) * Add taxConfigurationUpdate mutation * Update schema * Add tax class CRUD mutations * Add mutations to update/delete tax class rates per country * Review fixes * Add taxClass field to ProductType type (#9999) * Add taxClass field to ProductType type * Add taxClass field to Product type * Add taxClass field to shipping method type * Add displayGrossPrices to ProductPricingInfo (#10008) * Add displayGrossPrices to ProductPricingInfo * Add displayGrossPrices to Checkout * Add displayGrossPrices to Order * Add tests * Add ADDED_IN_35 label to new fields' descriptions * Use new display_gross_prices flag (#10121) * Use new display_gross_prices flag * Update tests * Add tests * Review fixes * Drop Vatlayer (#10335) * Add migration from Vatlayer to simple taxes * Review fixes * Review fixes * Drop usages of global include_taxes_in_prices flag (#10406) * Drop `include_taxes_in_prices` function from site settings * Adjust tests * Review fixes * Drop the `charge_taxes_on_shipping` flag from site settings. (#10466) * Include migrating Avatax tax codes in tax class migration * Drop `charge_taxes_on_shipping` function * Add tax_class to ShippingMethodData * Review fixes * Always calculate shipping tax with Avalara * Add default country rate (#10497) * Allow setting default tax rate for a country (without providing a tax class) * Add validation to allow settings only one default rate at once * Code review fixes * Add taxCalculationStrategy field * Add tests * CR fixes * Adjust resolver to use new tax configuration (#10533) * CR fixes * Add database router to fix false positives on relation mismatch. (#10524) * Add database router to fix false positives on relation mismatch. * The db router should have only 'allow_relation' implemented. * The 'db_for_write' part should stay. * Subscription for sync tax webooks (#10433) * Add proposed changes to schema * Add base implementation for sync tax subscription * Add test for empty order * Add clean up and missing part for tests * Use subscription for tax webhooks. Add more tests * Improve descriptions for tax objects * Adjust resolver to use new tax configuration (#10533) * Add taxCalculationStrategy field (#10532) * Add taxCalculationStrategy field * Add tests * CR fixes * CR fixes * Add datamigration to populate taxCalculationStrategy * Migrate Product.charge_taxes to new tax configuration (#10585) * Migrate Product.charge_taxes field to new tax configuration * Rename function * Fix tests * Change assign_tax_code_to_object_meta function to support tax classes * Update tax class fixtures * Improve dataloader * CR fixes * CR fixes * Add deprecation notice to dataloader * Allow removing country rates in the `taxCountryConfigurationUpdate` mutation. (#10647) * Allow deleting rates in taxCountryConfigurationUpdate mutation * Change tax rates ordering to keep default rates first (with null tax classes) * Update existing migration * Remove TaxClass.is_default field (#10660) * Change tax rates ordering to keep default rates first (with null tax classes) * Update existing migration * Drop is_default field from TaxClass model * Drop extra Avalara config (#10673) * Drop extra Avatax config options * Adjust tests * Use flat rates in tax calculations (#10747) * WIP Use new tax configuration in tax calculations * Use new tax calculations for checkout * Adjust tests * Add flat rates calculations for checkout and order * Calculate flat rates in product pricing objects * Adjust tests * Add tests for order calculations * Add tests for product queries tax calculations * Add tests for order calculations * Use base calculations to get default checkout shipping price * Add tests for using tax_class from product_type * Add tests for get_order_country * Adjust tests * Code review fixes * Drop update_taxes_for_order_lines (#11000) * Fix calls to Avalara not validating order (#11012) * Add validation to disallow creating negative rates (#11010) * Add missing recalculation of order.undiscounted_total (#11039) * Optimize getting tax class country rates (#11040) * Tax API adjustments for dashboard (#11042) * Ignore null rates in taxCountryConfigurationUpdate mutation * Allow to pass null rates in taxClassUpdate mutation * Improve tests * Update saleor/graphql/tax/mutations/tax_class_update.py Co-authored-by: Krzysztof Waliczek <[email protected]> * Update schema Co-authored-by: Krzysztof Waliczek <[email protected]> * Cleanup before release (#11049) * Update ADDED_IN labels * Fix skippeded test * Regenerate migrations * Deprecate CountryDisplay.vat field * Add changelog * Update order.undiscounted_total calculation to not include taxes (#11068) * Fix assigning rates to tax classes (#11105) * Allow all staff users and apps to query tax-related data (#11113) * Bump dependencies for origin/SALEOR-6391-simple-taxes (#11127) Bumps: - cryptography to 38.0.3 - pillow to 9.3.0 * Fix using tax code from product and product type's tax class (#11111) * Fix using tax code from product and product type's tax class * Extract function * Replace synchronous load_site with promise (#11165) * Denormalize tax class for order lines and orders (#11172) * WIP Denormalize tax class for order lines and orders * Add denormalized fields in GraphQL types * Add tests for denormalized API fields * Return 0 rate in API when rate is null * Add preview/version notes in new field descriptions * Update changelog Co-authored-by: Dominik Kozaczko <[email protected]> Co-authored-by: Maciej Korycinski <[email protected]> Co-authored-by: Krzysztof Waliczek <[email protected]> Co-authored-by: Mika <[email protected]> Co-authored-by: Krzysztof Kwaśniak <[email protected]>

async def async_inference_detector(model, imgs): if not isinstance(imgs, (list, tuple)): imgs = [imgs] cfg = model.cfg if isinstance(imgs[0], np.ndarray): cfg = cfg.copy() # set loading pipeline type cfg.data.test.pipeline[0].type = 'LoadImageFromWebcam' cfg.data.test.pipeline = replace_ImageToTensor(cfg.data.test.pipeline) test_pipeline = Compose(cfg.data.test.pipeline) datas = [] for img in imgs: # prepare data if isinstance(img, np.ndarray): # directly add img data = dict(img=img) else: # add information into dict data = dict(img_info=dict(filename=img), img_prefix=None) # build the data pipeline data = test_pipeline(data) datas.append(data) for m in model.modules(): assert not isinstance( m, RoIPool), 'CPU inference with RoIPool is not supported currently.' # We don't restore `torch.is_grad_enabled()` value during concurrent # inference since execution can overlap torch.set_grad_enabled(False) results = await model.aforward_test(data, rescale=True) return results

mmdet/apis/inference.py

mmdetection

Python

2631e2879acf0bd20a64dfdd7039f37a8e6afbf6

inference.py

async_inference_detector

https://github.com/open-mmlab/mmdetection.git

Support Datasampler

def isGoalState(self): for i in range(self.size): for j in range(self.size): if i == j and j == self.size - 1: continue if self.state[i][j] != (i) * self.size + (j + 1): return False return True

Eight_Puzzle_Solver/eight_puzzle.py

Python

Python

f0af0c43340763724f139fa68aa1e5a9ffe458b4

eight_puzzle.py

isGoalState

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

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

def combine_first(self, other): # noqa: PR01, RT01, D200 return self._binary_op("combine_first", other, _axis=0)

modin/pandas/base.py

modin

Python

605efa618e7994681f57b11d04d417f353ef8d50

base.py

combine_first

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

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

def testOnCheckpointOrdered(self): keep_checkpoints_num = 2 checkpoint_manager = self.checkpoint_manager(keep_checkpoints_num) checkpoints = [ Checkpoint(Checkpoint.PERSISTENT, {i}, self.mock_result(i)) for i in range(3) ] with patch.object(checkpoint_manager, "delete") as delete_mock: for j in range(3): checkpoint_manager.on_checkpoint(checkpoints[j]) expected_deletes = 0 if j != 2 else 1 self.assertEqual(delete_mock.call_count, expected_deletes, j) self.assertEqual( checkpoint_manager.newest_persistent_checkpoint, checkpoints[j] ) best_checkpoints = checkpoint_manager.best_checkpoints() self.assertEqual(len(best_checkpoints), keep_checkpoints_num) self.assertIn(checkpoints[1], best_checkpoints) self.assertIn(checkpoints[2], best_checkpoints)

python/ray/tune/tests/test_checkpoint_manager.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

test_checkpoint_manager.py

testOnCheckpointOrdered

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 inverse_transform(self, X): check_is_fitted(self) X = check_array(X) return (X @ self.components_) + self.mean_

sklearn/decomposition/_sparse_pca.py

scikit-learn

Python

01fcf8a0acc7e6517faa4fc6887eb45f5d2ea77b

_sparse_pca.py

inverse_transform

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

ENH add inverse_transform in *SparsePCA (#23905)

def get_student_group_strength(student_group): student_group_strength = frappe.db.sql( , student_group, )[0][0] return student_group_strength

erpnext/education/report/student_batch_wise_attendance/student_batch_wise_attendance.py

erpnext

Python

494bd9ef78313436f0424b918f200dab8fc7c20b

student_batch_wise_attendance.py

get_student_group_strength

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

style: format code with black

def wait_for_text_to_equal(self, selector, text, timeout=None): return self._wait_for( method=text_to_equal, args=(selector, text), timeout=timeout, msg=f"text -> {text} not found within {timeout or self._wait_timeout}s", )

dash/testing/browser.py

dash

Python

c3c84b9ecf16bcc61ed80ec39d511af92fe07f2c

browser.py

wait_for_text_to_equal

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

f-strings everywhere! fffff

def stack_pos(self) -> str: try: idx = self.context.layers.index(self) except ValueError: return repr(self) else: return " >> ".join(repr(x) for x in self.context.layers[: idx + 1])

mitmproxy/proxy/layer.py

mitmproxy

Python

b3587b52b25077f68116b9852b041d33e7fc6601

layer.py

stack_pos

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

make it black!

def apply_node_provider_config_updates(config, node_cfg, node_type_name, max_count): tags = node_provider_tags(config, node_type_name) tags[TAG_RAY_CLUSTER_NAME] = DEFAULT_CLUSTER_NAME user_tag_specs = node_cfg.get("TagSpecifications", []) tag_specs = [ { "ResourceType": "instance", "Tags": [{"Key": k, "Value": v} for k, v in sorted(tags.items())], } ] node_provider_cfg_updates = { "MinCount": 1, "MaxCount": max_count, "TagSpecifications": tag_specs, } tags.pop(TAG_RAY_CLUSTER_NAME) node_cfg.update(node_provider_cfg_updates) # merge node provider tag specs with user overrides AWSNodeProvider._merge_tag_specs(tag_specs, user_tag_specs)

python/ray/tests/aws/utils/helpers.py

ray

Python

7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065

helpers.py

apply_node_provider_config_updates

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 test_relative_name(file): result = file.rename(name="..\\rel\\path\\test", source=str(source)) assert "is not an absolute path" in result.filtered["comment"] assert result.filtered["result"] is False

tests/pytests/functional/states/file/test_rename.py

salt

Python

a35b29b2651bf33c5d5b45e64bc7765ffde4aff4

test_rename.py

test_relative_name

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

Add some funtional tests Add functional tests for the following: - file.readlink - file.replace - file.symlink Remove unit tests for file.replace as they are duplicated in the added functional test

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

packages/python/plotly/plotly/graph_objs/_histogram2d.py

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_histogram2d.py

ybingroup

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

switch to black .22

def debug_mutated_model(base_model, evaluator, applied_mutators): base_model_ir, applied_mutators = preprocess_model(base_model, evaluator, applied_mutators) from ..strategy import _LocalDebugStrategy strategy = _LocalDebugStrategy() strategy.run(base_model_ir, applied_mutators) _logger.info('local debug completed!')

nni/retiarii/experiment/pytorch.py

nni

Python

5b7dac5c4054115854b3684ba86b9a79fb18d5eb

pytorch.py

debug_mutated_model

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

Wrap one-shot algorithms as strategies (#4571)

def k_crust(G, k=None, core_number=None): # Default for k is one less than in _core_subgraph, so just inline. # Filter is c[v] <= k if core_number is None: core_number = nx.core_number(G) if k is None: k = max(core_number.values()) - 1 nodes = (v for v in core_number if core_number[v] <= k) return G.subgraph(nodes).copy()

networkx/algorithms/core.py

networkx

Python

17fa9942568bfca34d4a68f8d93c538014f69389

core.py

k_crust

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

Fix functions appearing in variables `__all__` but not in docs for NX2.7 (#5289) * Adjust functions appearing in `__all__` but not in docs * clean up coloring: merge two modules make interchange private * fix duplicate name. Probably should be changed * fix "see also" doc of recursive_simple_cycles * Rm internal uses of deprecated . * Fixup warnings filters regex. * clean up a bit more, make Node & AdjList private classes Co-authored-by: Ross Barnowski <[email protected]> Co-authored-by: Mridul Seth <[email protected]>

def native_unit_of_measurement(self) -> str | None: raw_units = self.raw_unit_of_measurement # Check if this is a known index pair UOM if isinstance(raw_units, dict) or raw_units in (UOM_ON_OFF, UOM_INDEX): return None if raw_units in ( UnitOfTemperature.FAHRENHEIT, UnitOfTemperature.CELSIUS, UOM_DOUBLE_TEMP, ): return self.hass.config.units.temperature_unit return raw_units

homeassistant/components/isy994/sensor.py

core

Python

a6ddac9004b7f73633f2019f3b5267e1486756c1

sensor.py

native_unit_of_measurement

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

Use UnitOfTemperature in integrations (i-m) (#84307)

def test_get_repositories_all_and_pagination(self): with self.tasks(): self.assert_setup_flow() integration = Integration.objects.get(provider=self.provider.key) installation = integration.get_installation(self.organization) result = installation.get_repositories() assert result == [ {"name": "foo", "identifier": "Test-Organization/foo"}, {"name": "bar", "identifier": "Test-Organization/bar"}, {"name": "baz", "identifier": "Test-Organization/baz"}, ]

tests/sentry/integrations/github/test_integration.py

sentry

Python

d6bcead1be02914e9734ab23f5e476b3d6f3f2cb

test_integration.py

test_get_repositories_all_and_pagination

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

fix(github): Add pagination when fetching repositories (#39750) We are not using pagination for Github's repositories endpoint. This means we were getting up to a maximum of 100 repositories. I do not know how no one hit any issues in the past. This is work to support WOR-2234 and creating automatic code mappings.

def bivariate_type(f, x, y, *, first=True): u = Dummy('u', positive=True) if first: p = Poly(f, x, y) f = p.as_expr() _x = Dummy() _y = Dummy() rv = bivariate_type(Poly(f.subs({x: _x, y: _y}), _x, _y), _x, _y, first=False) if rv: reps = {_x: x, _y: y} return rv[0].xreplace(reps), rv[1].xreplace(reps), rv[2] return p = f f = p.as_expr() # f(x*y) args = Add.make_args(p.as_expr()) new = [] for a in args: a = _mexpand(a.subs(x, u/y)) free = a.free_symbols if x in free or y in free: break new.append(a) else: return x*y, Add(*new), u

sympy/solvers/bivariate.py

sympy

Python

59d22b6bb7287613d598611027f640d068ca5748

bivariate.py

bivariate_type

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

Moved imports to higher level

def get_table_description(self, cursor, table_name): cursor.execute( "PRAGMA table_info(%s)" % self.connection.ops.quote_name(table_name) ) table_info = cursor.fetchall() if not table_info: raise DatabaseError(f"Table {table_name} does not exist (empty pragma).") collations = self._get_column_collations(cursor, table_name) json_columns = set() if self.connection.features.can_introspect_json_field: for line in table_info: column = line[1] json_constraint_sql = '%%json_valid("%s")%%' % column has_json_constraint = cursor.execute( , [table_name, json_constraint_sql], ).fetchone() if has_json_constraint: json_columns.add(column) return [ FieldInfo( name, data_type, None, get_field_size(data_type), None, None, not notnull, default, collations.get(name), pk == 1, name in json_columns, ) for cid, name, data_type, notnull, default, pk in table_info ]

django/db/backends/sqlite3/introspection.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

introspection.py

get_table_description

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

Refs #33476 -- Reformatted code with Black.

def test_render_none_as_context_variable(self): context = {"image": None, "image_node": "fake value"} node = ImageNode(Variable("image"), "original", "image_node") rendered = node.render(context) self.assertEqual(rendered, "") self.assertIsNone(context["image_node"])

wagtail/images/tests/test_templatetags.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

test_templatetags.py

test_render_none_as_context_variable

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

Reformat with black

def sieveEr(N): from math import sqrt # precondition assert isinstance(N, int) and (N > 2), "'N' must been an int and > 2" primes = [True for x in range(N + 1)] for p in range(2, int(sqrt(N)) + 1): if primes[p]: for i in range(p * p, N + 1, p): primes[i] = False primes[0] = False primes[1] = False ret = [] for p in range(N + 1): if primes[p]: ret.append(p) return ret # --------------------------------

primelib/primelib.py

Python

Python

f0af0c43340763724f139fa68aa1e5a9ffe458b4

primelib.py

sieveEr

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

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

def plotting_context(context=None, font_scale=1, rc=None): if context is None: context_dict = {k: mpl.rcParams[k] for k in _context_keys} elif isinstance(context, dict): context_dict = context else: contexts = ["paper", "notebook", "talk", "poster"] if context not in contexts: raise ValueError(f"context must be in {', '.join(contexts)}") # Set up dictionary of default parameters texts_base_context = { "font.size": 12, "axes.labelsize": 12, "axes.titlesize": 12, "xtick.labelsize": 11, "ytick.labelsize": 11, "legend.fontsize": 11, "legend.title_fontsize": 12, } base_context = { "axes.linewidth": 1.25, "grid.linewidth": 1, "lines.linewidth": 1.5, "lines.markersize": 6, "patch.linewidth": 1, "xtick.major.width": 1.25, "ytick.major.width": 1.25, "xtick.minor.width": 1, "ytick.minor.width": 1, "xtick.major.size": 6, "ytick.major.size": 6, "xtick.minor.size": 4, "ytick.minor.size": 4, } base_context.update(texts_base_context) # Scale all the parameters by the same factor depending on the context scaling = dict(paper=.8, notebook=1, talk=1.5, poster=2)[context] context_dict = {k: v * scaling for k, v in base_context.items()} # Now independently scale the fonts font_keys = texts_base_context.keys() font_dict = {k: context_dict[k] * font_scale for k in font_keys} context_dict.update(font_dict) # Override these settings with the provided rc dictionary if rc is not None: rc = {k: v for k, v in rc.items() if k in _context_keys} context_dict.update(rc) # Wrap in a _PlottingContext object so this can be used in a with statement context_object = _PlottingContext(context_dict) return context_object

seaborn/rcmod.py

seaborn

Python

f7e25e18983f2f36a1529cd9e4bda6fa008cbd6d

rcmod.py

plotting_context

https://github.com/mwaskom/seaborn.git

Use f-strings for string formatting (#2800) Reformats all the text from the old "%-formatted" and .format(...) format to the newer f-string format, as defined in PEP 498. This requires Python 3.6+. Flynt 0.76 was used to reformat the strings. 45 f-strings were created in 13 files. F-strings are in general more readable, concise and performant. See also: https://www.python.org/dev/peps/pep-0498/#rationale

def getcoroutinestate(coroutine): if coroutine.cr_running: return CORO_RUNNING if coroutine.cr_suspended: return CORO_SUSPENDED if coroutine.cr_frame is None: return CORO_CLOSED return CORO_CREATED

Lib/inspect.py

cpython

Python

b04dfbbe4bd7071d46c8688c2263726ea31d33cd

inspect.py

getcoroutinestate

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

bpo-46409: Make generators in bytecode (GH-30633) * Add RETURN_GENERATOR and JUMP_NO_INTERRUPT opcodes. * Trim frame and generator by word each. * Minor refactor of frame.c * Update test.test_sys to account for smaller frames. * Treat generator functions as normal functions when evaluating and specializing.

def compare_caltech(self, thres): if self.dt_boxes is None or self.gt_boxes is None: return list() dtboxes = self.dt_boxes if self.dt_boxes is not None else list() gtboxes = self.gt_boxes if self.gt_boxes is not None else list() dt_matched = np.zeros(dtboxes.shape[0]) gt_matched = np.zeros(gtboxes.shape[0]) dtboxes = np.array(sorted(dtboxes, key=lambda x: x[-1], reverse=True)) gtboxes = np.array(sorted(gtboxes, key=lambda x: x[-1], reverse=True)) if len(dtboxes): overlap_iou = bbox_overlaps(dtboxes, gtboxes, mode='iou') overlap_ioa = bbox_overlaps(dtboxes, gtboxes, mode='iof') else: return list() score_list = list() for i, dt in enumerate(dtboxes): maxpos = -1 maxiou = thres for j, gt in enumerate(gtboxes): if gt_matched[j] == 1: continue if gt[-1] > 0: overlap = overlap_iou[i][j] if overlap > maxiou: maxiou = overlap maxpos = j else: if maxpos >= 0: break else: overlap = overlap_ioa[i][j] if overlap > thres: maxiou = overlap maxpos = j if maxpos >= 0: if gtboxes[maxpos, -1] > 0: gt_matched[maxpos] = 1 dt_matched[i] = 1 score_list.append((dt, 1, self.ID)) else: dt_matched[i] = -1 else: dt_matched[i] = 0 score_list.append((dt, 0, self.ID)) return score_list

mmdet/evaluation/metrics/crowdhuman_metric.py

mmdetection

Python

6fca2160bd676cf011e10bdf4b622efb5688bae0

crowdhuman_metric.py

compare_caltech

https://github.com/open-mmlab/mmdetection.git

[Feature] Add CrowdHumanDataset and Metric (#8437) * [Fix] Fix UT to be compatible with pytorch 1.6 (#8707) * Update * Update * force reinstall pycocotools * Fix build_cuda * docker install git * Update * comment other job to speedup process * update * uncomment * Update * Update * Add comments for --force-reinstall * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * Add CrowdHumanDataset * [WIP] Add CrowdHumanDataset * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric * [Feature] Add CrowdHumanDataset and Metric Co-authored-by: jbwang1997 <[email protected]>

def get_offset_transform(self): if self._offset_transform is None: self._offset_transform = transforms.IdentityTransform() elif (not isinstance(self._offset_transform, transforms.Transform) and hasattr(self._offset_transform, '_as_mpl_transform')): self._offset_transform = \ self._offset_transform._as_mpl_transform(self.axes) return self._offset_transform

lib/matplotlib/collections.py

matplotlib

Python

c25cf96cfb7e6fc9ad75347cb2a32193c501e82c

collections.py

get_offset_transform

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

Switch transOffset to offset_transform. Note that most APIs *previously* already accepted *offset_transform* as kwarg, due to the presence of the `set_offset_transform` setter. Prefer that name (shortening it to `offset_trf` for local variables). Backcompat for the old `transOffset` name is kept in most places by introducing a property alias.

def data(request): return request.param @pytest.fixture()

pandas/tests/arrays/masked/test_function.py

@pytest.fixture()

pandas

Python

89be1f053b695c4ce1c0569f737caf3f03c12128

test_function.py

data

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

DOC: Added docstrings to fixtures defined in array module (#47211)

def get_lvm_facts(self): lvm_facts = {'lvm': 'N/A'} if os.getuid() == 0 and self.module.get_bin_path('vgs'): lvm_util_options = '--noheadings --nosuffix --units g --separator ,' vgs_path = self.module.get_bin_path('vgs') # vgs fields: VG #PV #LV #SN Attr VSize VFree vgs = {} if vgs_path: rc, vg_lines, err = self.module.run_command('%s %s' % (vgs_path, lvm_util_options)) for vg_line in vg_lines.splitlines(): items = vg_line.strip().split(',') vgs[items[0]] = {'size_g': items[-2], 'free_g': items[-1], 'num_lvs': items[2], 'num_pvs': items[1]} lvs_path = self.module.get_bin_path('lvs') # lvs fields: # LV VG Attr LSize Pool Origin Data% Move Log Copy% Convert lvs = {} if lvs_path: rc, lv_lines, err = self.module.run_command('%s %s' % (lvs_path, lvm_util_options)) for lv_line in lv_lines.splitlines(): items = lv_line.strip().split(',') lvs[items[0]] = {'size_g': items[3], 'vg': items[1]} pvs_path = self.module.get_bin_path('pvs') # pvs fields: PV VG #Fmt #Attr PSize PFree pvs = {} if pvs_path: rc, pv_lines, err = self.module.run_command('%s %s' % (pvs_path, lvm_util_options)) for pv_line in pv_lines.splitlines(): items = pv_line.strip().split(',') pvs[self._find_mapper_device_name(items[0])] = { 'size_g': items[4], 'free_g': items[5], 'vg': items[1]} lvm_facts['lvm'] = {'lvs': lvs, 'vgs': vgs, 'pvs': pvs} return lvm_facts

lib/ansible/module_utils/facts/hardware/linux.py

ansible

Python

b2cde3a8964373d51d24e66692394d98858a2b33

linux.py

get_lvm_facts

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

Add default value for lvm_facts when lvm or lvm2 is not installed or … (#75989) * Add default value for lvm_facts when lvm or lvm2 is not installed or there are no lvm facts

def test_first_event_without_minified_stack_trace_received(self, record_analytics): now = timezone.now() project = self.create_project(first_event=now) project_created.send(project=project, user=self.user, sender=type(project)) data = load_data("javascript") self.store_event( data=data, project_id=project.id, ) with pytest.raises(AssertionError): record_analytics.assert_called_with( "first_event_with_minified_stack_trace_for_project.sent", user_id=self.user.id, organization_id=project.organization_id, project_id=project.id, platform="javascript", url="http://localhost:3000", )

tests/sentry/receivers/test_onboarding.py

sentry

Python

ce841204ef3b20d0f6ac812ebb06aebbc63547ac

test_onboarding.py

test_first_event_without_minified_stack_trace_received

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

ref(onboarding): Add function to record first event per project with min stack trace -(#42208)

def get_yaxis(self): return self.yaxis get_xgridlines = _axis_method_wrapper("xaxis", "get_gridlines") get_xticklines = _axis_method_wrapper("xaxis", "get_ticklines") get_ygridlines = _axis_method_wrapper("yaxis", "get_gridlines") get_yticklines = _axis_method_wrapper("yaxis", "get_ticklines") # Adding and tracking artists

lib/matplotlib/axes/_base.py

matplotlib

Python

5af97515b3823b2efa1961253a11e2d77df88637

_base.py

get_yaxis

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

Add discouraged admonitions The [*Discouraged*] prefix in the summary line is added in analogy to the [*Deprecated*] prefix we add automatically. We do this so that these "labels" are prominently visible also in summary overviews of the functions in the docs. Since we rarely discourage whole functions, for now I just do this manually.

def read(self, size=-1): if self.closed: raise ValueError("I/O operation on closed file") if self.size_read >= self.chunksize: return b'' if size < 0: size = self.chunksize - self.size_read if size > self.chunksize - self.size_read: size = self.chunksize - self.size_read data = self.file.read(size) self.size_read = self.size_read + len(data) if self.size_read == self.chunksize and \ self.align and \ (self.chunksize & 1): dummy = self.file.read(1) self.size_read = self.size_read + len(dummy) return data

python3.10.4/Lib/chunk.py

XX-Net

Python

8198943edd73a363c266633e1aa5b2a9e9c9f526

chunk.py

read

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

add python 3.10.4 for windows

def _get_cons(self): if self.__origin__ is None: raise TypeError("Cannot get the underlying type of a " "non-specialized Annotated type.") tree = self._subs_tree() while isinstance(tree, tuple) and tree[0] is Annotated: tree = tree[1] if isinstance(tree, tuple): return tree[0] else: return tree

pipenv/patched/notpip/_vendor/typing_extensions.py

pipenv

Python

f3166e673fe8d40277b804d35d77dcdb760fc3b3

typing_extensions.py

_get_cons

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

check point progress on only bringing in pip==22.0.4 (#4966) * vendor in pip==22.0.4 * updating vendor packaging version * update pipdeptree to fix pipenv graph with new version of pip. * Vendoring of pip-shims 0.7.0 * Vendoring of requirementslib 1.6.3 * Update pip index safety restrictions patch for pip==22.0.4 * Update patches * exclude pyptoject.toml from black to see if that helps. * Move this part of the hash collection back to the top (like prior implementation) because it affects the outcome of this test now in pip 22.0.4

def _task(cls): # type: () -> None log_runtime.debug("TimeoutScheduler Thread spawning @ %f", cls._time()) time_empty = None try: while 1: handle = cls._peek_next() if handle is None: now = cls._time() if time_empty is None: time_empty = now # 100 ms of grace time before killing the thread if cls.GRACE < now - time_empty: return else: time_empty = None cls._wait(handle) cls._poll() finally: # Worst case scenario: if this thread dies, the next scheduled # timeout will start a new one log_runtime.debug("TimeoutScheduler Thread died @ %f", cls._time()) cls._thread = None

scapy/contrib/isotp/isotp_soft_socket.py

scapy

Python

afa3a8051f6768a23895d72239de44f23c1c210c

isotp_soft_socket.py

_task

https://github.com/secdev/scapy.git

Refactoring of ISOTPSoftSockets

def test_nonconflicting_autogenerated_basename_different_models(self): self.router.register(r'notes', NoteViewSet) self.router.register(r'notes_basename', BasenameViewSet)

tests/test_routers.py

django-rest-framework

Python

48a21aa0eb3a95d32456c2a927eff9552a04231e

test_routers.py

test_nonconflicting_autogenerated_basename_different_models

https://github.com/encode/django-rest-framework.git

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]>

def cache_full(self) -> bool: if self._cache_info["cache_full"]: return self._cache_info["cache_full"] with self._lock: return self._cache_info["cache_full"]

lib/training/cache.py

faceswap

Python

2beceffad9b15c1fd78f06b9b272563321c5a41e

cache.py

cache_full

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

Data Augmentation update (#1263) - lib.detected_face - Subclass Masks for Landmark based masks - Add training mask propery + methods to DetectedFace - lib.training_training - subclass TrainingDataGenerator for training and preview data - Split cache into own module - Reduce thread count to 1 to prevent image corruption + data re-use - Process on largest model input/output size rather than stored image size - Size and crop masks during caching stage - Implement ring buffer for data flow - Fix preview reload bug - augmentation - typing - switch color aug order - better initialization - Fix warp + landmark warp to correctly apply at different image scales - Slightly improved warp caching - Don't store whether image is_preview. Handle all data as training images implicitly - plugins.trainer: Typing and fixes to work with trainingdata refactor

def put_timestamp(self, feed_id, timestamp): self._fetch_data() with self._lock, open(self._data_file, "wb") as myfile: self._data.update({feed_id: timestamp}) _LOGGER.debug( "Overwriting feed %s timestamp in storage file %s", feed_id, self._data_file, ) try: pickle.dump(self._data, myfile) except Exception: # pylint: disable=broad-except _LOGGER.error("Error saving pickled data to %s", self._data_file) self._cache_outdated = True

homeassistant/components/feedreader/__init__.py

core

Python

62a5854e40cb554fecb1eec897d7bcb4c94628fe

__init__.py

put_timestamp

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

Fix bare except (#72906)

def test_link_error_on_chord_header(self, header): self.app.conf.task_allow_error_cb_on_chord_header = True c = chord(header, signature('body')) err = signature('err') errback = c.link_error(err) assert errback == err for header_task in c.tasks: assert header_task.options['link_error'] == [err] assert c.body.options['link_error'] == [err]

t/unit/tasks/test_canvas.py

celery

Python

3983484defb4564c9baf2a24a6b3af2d0b3c0df7

test_canvas.py

test_link_error_on_chord_header

https://github.com/celery/celery.git

Housekeeping for Canvas.py (#7942) * Removed pass from @abstractmethod StampingVisitor.on_signature() * Added unit test: test_repr_empty_group() * Added unit test: test_signature_on_error_adds_error_callback() * Cleaned chord.link_error() implementation * Added a new test suite: test_merge_dictionaries * Fixed bug in _merge_dictionaries() function when using None values, tested with test_none_values() * Added test case for "Signature | non-Signature" in unit test: test_OR() * Added new unit test: test_freezing_args_set_in_options() * Added new unit test: test_group_prepared(), for the inner method of group._prepared() * Added unit test for chord: test_link_error_on_chord_header(), using the task_allow_error_cb_on_chord_header flag * Added subtests explanation to test_OR() unit test for "sig | non-sig" test case * Added unit test: test_on_signature_gets_the_signature() * Matched (copied) the unit tests "Install tox" step to the integration tests to have the same command for both

def _gen_html_string(self): self.html_string = _hilite_me( self.code_string, self.language, self.style, self.insert_line_no, "border:solid gray;border-width:.1em .1em .1em .8em;padding:.2em .6em;", self.file_path, self.line_no_from, ) if self.generate_html_file: os.makedirs( os.path.join("assets", "codes", "generated_html_files"), exist_ok=True, ) with open( os.path.join( "assets", "codes", "generated_html_files", self.file_name + ".html", ), "w", ) as file: file.write(self.html_string)

manim/mobject/svg/code_mobject.py

manim

Python

902e7eb4f0147b5882a613b67467e38a1d47f01e

code_mobject.py

gen_html_string

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

Hide more private methods from the docs. (#2468) * hide privs from text_mobject.py * hide privs from tex_mobject.py * hide privs from code_mobject.py * hide privs from svg_mobject.py * remove SVGPath and utils from __init__.py * don't import string_to_numbers * hide privs from geometry.py * hide privs from matrix.py * hide privs from numbers.py * hide privs from three_dimensions.py * forgot underscore under set_stroke_width_from_length * there were more i missed * unhidea method that was used in docs * forgot other text2hash * remove svg_path from docs

def test_iterable_not_string(): constraint = _IterablesNotString() assert constraint.is_satisfied_by([1, 2, 3]) assert constraint.is_satisfied_by(range(10)) assert not constraint.is_satisfied_by("some string")

sklearn/utils/tests/test_param_validation.py

scikit-learn

Python

b9f623cff0f61c43b194e794da45c81518c57f60

test_param_validation.py

test_iterable_not_string

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

MAINT Param validation: add helper constraint for cv object (#24010)

def get_mapped_key_strings_to_ints(self) -> MutableMapping[str, int]: cache_key_results: MutableMapping[str, int] = {} for org_id, result_dict in self.results.items(): for string, id in result_dict.items(): key = f"{org_id}:{string}" if id is not None: cache_key_results[key] = id return cache_key_results

src/sentry/sentry_metrics/indexer/base.py

sentry

Python

c4cc0467974bcfb2b3c95120bd19c337aa977183

base.py

get_mapped_key_strings_to_ints

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

feat(metrics_indexer): Add rate limits functionality to indexer [INGEST-1380] (#36263) * feat(metrics_indexer): Add rate limits functionality to indexer [INGEST-1380] The postgres string indexer now is able to rate limit writes using four sentry options. If that happens, `None` is returned in place of an integer, and the FetchType is RATE_LIMITED. The kafka consumer/message processor explicitly checks for those `None` values and throws away every message that references a rate-limited string. It logs a Sentry error for every dropped message just because that's already what we do for other kinds of dropped messages. Rate limiting and quota management currently creates a ton of dataclasses and that probably wastes time. There are a ton of low-hanging fruits: * the return value of _construct_quotas could be globally cached, as long as the cache is wiped when the sentry options change. * the same Quota object (for global limits) is referenced from multiple RequestedQuota instances (one for each org). `sentry.ratelimits.sliding_windows` could check the `id()` of the quota (if there is no prefix override) to avoid computing and checking the same quota multiple times. An even lower hanging fruit is that we're fetching the same keys from Redis multiple times, because multiple organizations (and therefore multiple RequestedQuota instances) adhere to the global quota. So that's been fixed, but as for the rest let's wait for timings from prod. * fix typo * fix typing * apply review feedback * fix typing, add test * fix tests * apply review feedback about logging too many msgs * fix leaking option in test * sike, more test failures

def copy(self, update_attrs=None, exclude_fields=None): exclude_fields = ( self.default_exclude_fields_in_copy + self.exclude_fields_in_copy + (exclude_fields or []) ) instance, child_object_map = _copy(self.specific, exclude_fields, update_attrs) instance.save() _copy_m2m_relations(self, instance, exclude_fields=exclude_fields) return instance

wagtail/core/models/__init__.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

__init__.py

copy

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

Reformat with black

def extract_tags(self, sentence, topK=20, withWeight=False, allowPOS=(), withFlag=False): self.check_dependency() import jieba import jieba.analyse jieba.setLogLevel(logging.ERROR) res = jieba.analyse.extract_tags(sentence, topK=topK, withWeight=withWeight, allowPOS=allowPOS, withFlag=withFlag) return res

modules/text/lexical_analysis/jieba_paddle/module.py

PaddleHub

Python

8468e1ac6cfe165aa1e3cf4f77ab6fb66ce98614

module.py

extract_tags

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

Remove fluid api in modules and pkg. (#1906)

def to_list(self): return list(convert_submodules(self.__dict__).values())

ludwig/schema/model_config.py

ludwig

Python

4d2d81f9fdefc52eea6a9bf0826a6f2ffc8d681b

model_config.py

to_list

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

Config Object (#2426) * Fixed loss instances across features * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed binary OneOfImplementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Flake 8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix custom loss components * Fix gbm category * Remove config object code, out of scope * Fixed more tests * Fixed incorrect text preproc default, added clip to category feature level * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixes additional tests * Cache jsonschema validator to reduce memory pressure * Fix imports * Skip neuropod test * Added upgrade audio to default preproc back compat and cleaned up * Small nits * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Change backfill constant for audio * Add docstring to compute feature hash * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Unused import * Another backfill constant change * Unused import * remove default population functions * Added config object test * rewired build_inputs * rewired combiner in ecd, added logic to config object * Refactored ecd.py * Fixing up merge_with_defaults, need metadata changes in master * Refactored defaults section and mega upgraded config obj * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed some formatting * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed feature col, proc col, and render config from defaults.py * Fix duplicate import * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added config initializer to merge defaults flow * Refactored update_config_with_metadata * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added dict conversion method to config object and refactored merge config function in config_utils * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Refactored until preproc entrypoint * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed update_config_with_metadata * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Removed load config base feature method - no longer necessary * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Formatting * Fixed input size assignment * Temp fix * Fixed pretrained encoder path referencing temp until preproc refactor * Solved the WORST BUG EVER * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Switch reduce_input to None for sequence tagger * Fixed another one * Fixed typo * Various test fixes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Flake 8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed excess defaults params issue * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Minor fixes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed some defaults tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed more tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed more tests * Formatting * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * More test fixes * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed defaults tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix more tests * Flake 8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix more tests * Fixed more tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed more tests * Fixed more tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fixing ghost tests attempt * Deep copy to smash the ghost failures * Copied top level modules now too * Started fixing hyperopt * Fixed Hyperopt Issues * Flake 8 * Remove commented out code * Address Piero feedback * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Flake 8 * Removed merge with defaults * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed various issues with preprocessing and splitting positioning * Fixed hyperopt issues * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Refactored api pipeline to use all config obj references * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed more tests * Flake 8 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix more tests * Fixed auto tune learning rate and batch size * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed sequence feature tests * Fixed image feature test * Fixed last test * flake 8 * Marshmallowify Config object, remove manual to dict method, add Factory method constructors * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Validate config within config object * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * All Travis feedback addressed * Using all new constructors now * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * removed from class attributes * Added deep copies back and piped repr inheritance * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Format * Small error fix, moved back compat into Config Object * Flake8 * Docstring for hyperopt defaults method * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address Joppe feedback * Revert "Address Joppe feedback" This reverts commit 42f1665ef917d062a010550bb960594c355285ff. * Fix tests * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Flake8 * fix test * Small improvement * Changed repr for input features, added feature enabling/disabling * Added feature enabling/disabling, and better reprs for SDK dev * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Flake 8 * Added rich to requirements.txt * Add some more CO tests and comment more on CO code * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix explain issue * Julian feedback * Added TODOs for future refactor PRs * Fix explain test failure, test shared state improvement and bug fix, remove unncessary code from convert_submodules * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * implement Daniel's feedback * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix residual errors * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Error fix * Using mixins now so no loose attributes on defaults, fixed height width schema restrictions * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Removed unnecessary filtering from defaults schema logic * Piero's simplification and cleanup * Flake 8 * Fix test and update docstrings from Pieros change * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address most of Justin's feedback * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix tests and more feedback implementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Address feedback * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Renamed files to correspond to ModelConfig class name * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Missing constant import * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed incorrect merge conflict resolution * Flake8 * Fix remaining tests (except old models training from trainer type removal) * Fixed old models not validating trainer type * Add output_feature=False to test_hyperopt_ray.py * Implement Kabir's feedback * [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: Travis Addair <[email protected]> Co-authored-by: w4nderlust <[email protected]>

def test_action_not_coerced_for_get_and_head(self):

tests/schemas/test_coreapi.py

django-rest-framework

Python

df584350b4f77143d84615f05000f71408aec9c0

test_coreapi.py

test_action_not_coerced_for_get_and_head

https://github.com/encode/django-rest-framework.git

Prevent head method mapping to coerce action name (#7729)

def get_cluster_metadata(gcs_client) -> dict: return json.loads( gcs_client.internal_kv_get( usage_constant.CLUSTER_METADATA_KEY, namespace=ray_constants.KV_NAMESPACE_CLUSTER, ).decode("utf-8") )

python/ray/_private/usage/usage_lib.py

ray

Python

3a48a79fd7d2ed9195baec275562e64e96596de4

usage_lib.py

get_cluster_metadata

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

[Usage stats] Report total number of running jobs for usage stats purpose. (#26787) - Report total number of running jobs - Fix total number of nodes to include only alive nodes Signed-off-by: Jiajun Yao <[email protected]>

def test_unblock_room_twice(self) -> None: self._block_room(self.room_id) for _ in range(2): channel = self.make_request( "PUT", self.url % self.room_id, content={"block": False}, access_token=self.admin_user_tok, ) self.assertEqual(200, channel.code, msg=channel.json_body) self.assertFalse(channel.json_body["block"]) self._is_blocked(self.room_id, expect=False)

tests/rest/admin/test_room.py

synapse

Python

c97042f7eef3748e17c90e48a4122389a89c4735

test_room.py

test_unblock_room_twice

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

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

def test_limit_and_from(self) -> None: number_destinations = 20 self._create_destinations(number_destinations) channel = self.make_request( "GET", self.url + "?from=5&limit=10", access_token=self.admin_user_tok, ) self.assertEqual(HTTPStatus.OK, channel.code, msg=channel.json_body) self.assertEqual(channel.json_body["total"], number_destinations) self.assertEqual(channel.json_body["next_token"], "15") self.assertEqual(len(channel.json_body["destinations"]), 10) self._check_fields(channel.json_body["destinations"])

tests/rest/admin/test_federation.py

synapse

Python

6a72c910f180ee8b4bd78223775af48492769472

test_federation.py

test_limit_and_from

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

Add admin API to get a list of federated rooms (#11658)

def face(self) -> Optional[np.ndarray]: return self._face

lib/align/aligned_face.py

faceswap

Python

a2de4a97985dc62db3b140a924aeac2be733abf8

aligned_face.py

face

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

lib.align.aligned_face updates - Typing - Legacy support for pre-aligned faces - Coverage support for pre-aligned faces - Standardized retrieval of sub-crops

def pyplot(self, fig=None, clear_figure=None, **kwargs): if not fig and config.get_option("deprecation.showPyplotGlobalUse"): self.dg.exception(PyplotGlobalUseWarning()) image_list_proto = ImageListProto() marshall( self.dg._get_delta_path_str(), image_list_proto, fig, clear_figure, **kwargs ) return self.dg._enqueue("imgs", image_list_proto)

lib/streamlit/elements/pyplot.py

streamlit

Python

72703b38029f9358a0ec7ca5ed875a6b438ece19

pyplot.py

pyplot

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

Replace static apps with live Cloud apps (#4317) Co-authored-by: kajarenc <[email protected]>

def print_tensor(x, message="", summarize=3): if isinstance(x, tf.Tensor) and hasattr(x, "graph"): with get_graph().as_default(): op = tf.print( message, x, output_stream=sys.stdout, summarize=summarize ) with tf.control_dependencies([op]): return tf.identity(x) else: tf.print(message, x, output_stream=sys.stdout, summarize=summarize) return x # GRAPH MANIPULATION

keras/backend.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

backend.py

print_tensor

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def _reassign_keys(cls): rcParams["keymap.fullscreen"] = [k for k in rcParams["keymap.fullscreen"] if k != "f"] rcParams["keymap.save"] = [k for k in rcParams["keymap.save"] if k != "s"] rcParams["keymap.home"] = [k for k in rcParams["keymap.home"] if k != "r"]

scripts/train.py

faceswap

Python

7b9fc0454d982a2425ec44e90e5b05a87d149953

train.py

_reassign_keys

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

Live Preview - Replace cv2 with matplotlib viewer

def weight(self) -> int: weight = 0 if self.models: weight += 401 - (1 if callable(self.models) else len(self.models)) if self.manufacturers: weight += 301 - ( 1 if callable(self.manufacturers) else len(self.manufacturers) ) weight += 10 * len(self.channel_names) weight += 5 * len(self.generic_ids) if isinstance(self.aux_channels, frozenset): weight += 1 * len(self.aux_channels) return weight

homeassistant/components/zha/core/registries.py

core

Python

8bed2e6459bfc1efb25d6a55aaea2eb1b9953cf9

registries.py

weight

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

Remove zha from mypy ignore list (#73603)

def test_edit_cases(self) -> None: self.login("hamlet") hamlet = self.example_user("hamlet") msg_id = self.send_stream_message( self.example_user("hamlet"), "Denmark", topic_name="topic 1", content="content 1" ) result = self.client_patch( f"/json/messages/{msg_id}", { "message_id": msg_id, "content": "content 2", }, ) self.assert_json_success(result) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0]["prev_content"], "content 1") self.assertEqual(history[0]["user_id"], hamlet.id) self.assertEqual( set(history[0].keys()), { "timestamp", "prev_content", "user_id", "prev_rendered_content", "prev_rendered_content_version", }, ) result = self.client_patch( f"/json/messages/{msg_id}", { "message_id": msg_id, "topic": "topic 2", }, ) self.assert_json_success(result) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0][LEGACY_PREV_TOPIC], "topic 1") self.assertEqual(history[0]["user_id"], hamlet.id) self.assertEqual(set(history[0].keys()), {"timestamp", LEGACY_PREV_TOPIC, "user_id"}) result = self.client_patch( f"/json/messages/{msg_id}", { "message_id": msg_id, "content": "content 3", "topic": "topic 3", }, ) self.assert_json_success(result) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0]["prev_content"], "content 2") self.assertEqual(history[0][LEGACY_PREV_TOPIC], "topic 2") self.assertEqual(history[0]["user_id"], hamlet.id) self.assertEqual( set(history[0].keys()), { "timestamp", LEGACY_PREV_TOPIC, "prev_content", "user_id", "prev_rendered_content", "prev_rendered_content_version", }, ) result = self.client_patch( f"/json/messages/{msg_id}", { "message_id": msg_id, "content": "content 4", }, ) self.assert_json_success(result) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0]["prev_content"], "content 3") self.assertEqual(history[0]["user_id"], hamlet.id) self.login("iago") result = self.client_patch( f"/json/messages/{msg_id}", { "message_id": msg_id, "topic": "topic 4", }, ) self.assert_json_success(result) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0][LEGACY_PREV_TOPIC], "topic 3") self.assertEqual(history[0]["user_id"], self.example_user("iago").id) history = orjson.loads(Message.objects.get(id=msg_id).edit_history) self.assertEqual(history[0][LEGACY_PREV_TOPIC], "topic 3") self.assertEqual(history[2][LEGACY_PREV_TOPIC], "topic 2") self.assertEqual(history[3][LEGACY_PREV_TOPIC], "topic 1") self.assertEqual(history[1]["prev_content"], "content 3") self.assertEqual(history[2]["prev_content"], "content 2") self.assertEqual(history[4]["prev_content"], "content 1") # Now, we verify that the edit history data sent back has the # correct filled-out fields message_edit_history = self.client_get(f"/json/messages/{msg_id}/history") json_response = orjson.loads(message_edit_history.content) # We reverse the message history view output so that the IDs line up with the above. message_history = list(reversed(json_response["message_history"])) i = 0 for entry in message_history: expected_entries = {"content", "rendered_content", "topic", "timestamp", "user_id"} if i in {0, 2, 3}: expected_entries.add("prev_topic") if i in {1, 2, 4}: expected_entries.add("prev_content") expected_entries.add("prev_rendered_content") expected_entries.add("content_html_diff") i += 1 self.assertEqual(expected_entries, set(entry.keys())) self.assert_length(message_history, 6) self.assertEqual(message_history[0]["prev_topic"], "topic 3") self.assertEqual(message_history[0]["topic"], "topic 4") self.assertEqual(message_history[1]["topic"], "topic 3") self.assertEqual(message_history[2]["topic"], "topic 3") self.assertEqual(message_history[2]["prev_topic"], "topic 2") self.assertEqual(message_history[3]["topic"], "topic 2") self.assertEqual(message_history[3]["prev_topic"], "topic 1") self.assertEqual(message_history[4]["topic"], "topic 1") self.assertEqual(message_history[0]["content"], "content 4") self.assertEqual(message_history[1]["content"], "content 4") self.assertEqual(message_history[1]["prev_content"], "content 3") self.assertEqual(message_history[2]["content"], "content 3") self.assertEqual(message_history[2]["prev_content"], "content 2") self.assertEqual(message_history[3]["content"], "content 2") self.assertEqual(message_history[4]["content"], "content 2") self.assertEqual(message_history[4]["prev_content"], "content 1") self.assertEqual(message_history[5]["content"], "content 1") self.assertEqual(message_history[5]["topic"], "topic 1")

zerver/tests/test_message_edit.py

zulip

Python

d560d124a304a2f6dd467200aab7f070a78bf155

test_message_edit.py

test_edit_cases

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

python: Replace string concatenations with f-strings.

def close(self): # finish decoding if self.decoder: # get rid of what's left in the buffers self.feed(b"") self.data = self.decoder = None if not self.finished: msg = "image was incomplete" raise OSError(msg) if not self.image: msg = "cannot parse this image" raise OSError(msg) if self.data: # incremental parsing not possible; reopen the file # not that we have all data with io.BytesIO(self.data) as fp: try: self.image = Image.open(fp) finally: self.image.load() return self.image # --------------------------------------------------------------------

src/PIL/ImageFile.py

Pillow

Python

2ae55ccbdad9c842929fb238ea1eb81d1f999024

ImageFile.py

close

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

Improve exception traceback readability

def transform_non_affine(self, values): return values

lib/matplotlib/transforms.py

matplotlib

Python

442e7082140f85de53349bf0bf0e3c98e2eaa44c

transforms.py

transform_non_affine

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

Correct cross-references in documentation

def collect(self) -> Generator[Metric, None, None]: for pre_update_hook in self._pre_update_hooks: pre_update_hook() yield from super().collect()

synapse/util/metrics.py

synapse

Python

cf11919ddd4f48b2f59062542ba62969042f80aa

metrics.py

collect

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

Fix cache metrics not being updated when not using the legacy exposition module. (#13717)

def get_ranking(pairs): if len(pairs) == 1: return list(pairs[0]) w = get_winner(pairs) # now remove the winner from the list of pairs p_new = np.array([(a, b) for a, b in pairs if a != w]) return [w] + get_ranking(p_new)

backend/postprocessing/rankings.py

Open-Assistant

Python

38ca08446d560797522b7828720032799584d32a

rankings.py

get_ranking

https://github.com/LAION-AI/Open-Assistant.git

ran pre-commit hook

def flow_hierarchy(G, weight=None): if not G.is_directed(): raise nx.NetworkXError("G must be a digraph in flow_hierarchy") scc = nx.strongly_connected_components(G) return 1 - sum(G.subgraph(c).size(weight) for c in scc) / G.size(weight)

networkx/algorithms/hierarchy.py

networkx

Python

2a05ccdb07cff88e56661dee8a9271859354027f

hierarchy.py

flow_hierarchy

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

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

def rot90(m, k=1, axes=(0, 1)): axes = tuple(axes) if len(axes) != 2: raise ValueError("len(axes) must be 2.") m = asanyarray(m) if axes[0] == axes[1] or absolute(axes[0] - axes[1]) == m.ndim: raise ValueError("Axes must be different.") if (axes[0] >= m.ndim or axes[0] < -m.ndim or axes[1] >= m.ndim or axes[1] < -m.ndim): raise ValueError("Axes={} out of range for array of ndim={}." .format(axes, m.ndim)) k %= 4 if k == 0: return m[:] if k == 2: return flip(flip(m, axes[0]), axes[1]) axes_list = arange(0, m.ndim) (axes_list[axes[0]], axes_list[axes[1]]) = (axes_list[axes[1]], axes_list[axes[0]]) if k == 1: return transpose(flip(m, axes[1]), axes_list) else: # k == 3 return flip(transpose(m, axes_list), axes[1])

numpy/lib/function_base.py

numpy

Python

f404e9e92e87a3990712d723d5c562a89300ac01

function_base.py

rot90

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

Add space after argument name

def test_export_resolves_empty_project(self): payload = self.make_payload( "discover", {"project": [], "start": "2020-05-18T14:00:00", "end": "2020-05-19T14:00:00"}, ) with self.feature("organizations:discover-query"): self.get_valid_response(self.org.slug, status_code=201, **payload) payload = self.make_payload( "issue", {"project": None, "start": "2020-05-18T14:00:00", "end": "2020-05-19T14:00:00"} ) with self.feature("organizations:discover-query"): self.get_valid_response(self.org.slug, status_code=201, **payload)

tests/sentry/data_export/endpoints/test_data_export.py

sentry

Python

e6285db024d7af78f2022822abcde6f5d118af9e

test_data_export.py

test_export_resolves_empty_project

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

ref(discover): Remove resolve_field_list from data export (#32547) - This removes the call to resolve_field_list to validate queries from the data export

def get_compat_v1_regularization_losses(self): return { name: regularizer() for name, regularizer in self._tf1_style_var_store._regularizers.items() } # pylint: disable=protected-access @test_combinations.generate(test_combinations.combine(mode=["eager"]))

keras/legacy_tf_layers/variable_scope_shim_test.py

@test_combinations.generate(test_combinations.combine(mode=["eager"]))

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

variable_scope_shim_test.py

get_compat_v1_regularization_losses

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def test_random_tree_n_zero(): with pytest.raises(nx.NetworkXPointlessConcept): T = nx.random_tree(0, seed=1234)

networkx/generators/tests/test_trees.py

networkx

Python

dc70d037f21c76c61e1aab02039c4ca87898f7c7

test_trees.py

test_random_tree_n_zero

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

added coverage in generators/tree.py (#6082)

def add(inputs, **kwargs): return Add(**kwargs)(inputs)

keras/layers/merging/add.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

add.py

add

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def get_cached_paths(self): return ["/"]

wagtail/core/models/__init__.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

__init__.py

get_cached_paths

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

Reformat with black

def cleanup(self, onlyFileTbl=False, udfDict=None, web=False): if web and self.webBackdoorFilePath: logger.info("cleaning up the web files uploaded") self.delRemoteFile(self.webStagerFilePath) self.delRemoteFile(self.webBackdoorFilePath) if (not isStackingAvailable() or kb.udfFail) and not conf.direct: return if any((conf.osCmd, conf.osShell)) and Backend.isDbms(DBMS.PGSQL) and kb.copyExecTest: return if Backend.isOs(OS.WINDOWS): libtype = "dynamic-link library" elif Backend.isOs(OS.LINUX): libtype = "shared object" else: libtype = "shared library" if onlyFileTbl: logger.debug("cleaning up the database management system") else: logger.info("cleaning up the database management system") logger.debug("removing support tables") inject.goStacked("DROP TABLE %s" % self.fileTblName, silent=True) inject.goStacked("DROP TABLE %shex" % self.fileTblName, silent=True) if not onlyFileTbl: inject.goStacked("DROP TABLE %s" % self.cmdTblName, silent=True) if Backend.isDbms(DBMS.MSSQL): udfDict = {"master..new_xp_cmdshell": {}} if udfDict is None: udfDict = getattr(self, "sysUdfs", {}) for udf, inpRet in udfDict.items(): message = "do you want to remove UDF '%s'? [Y/n] " % udf if readInput(message, default='Y', boolean=True): dropStr = "DROP FUNCTION %s" % udf if Backend.isDbms(DBMS.PGSQL): inp = ", ".join(i for i in inpRet["input"]) dropStr += "(%s)" % inp logger.debug("removing UDF '%s'" % udf) inject.goStacked(dropStr, silent=True) logger.info("database management system cleanup finished") warnMsg = "remember that UDF %s files " % libtype if conf.osPwn: warnMsg += "and Metasploit related files in the temporary " warnMsg += "folder " warnMsg += "saved on the file system can only be deleted " warnMsg += "manually" logger.warning(warnMsg)

plugins/generic/misc.py

sqlmap

Python

df4293473d2fb6e887e31522cab5aff95e201581

misc.py

cleanup

https://github.com/sqlmapproject/sqlmap.git

Fixing DeprecationWarning (logger.warn)

def func_load(code, defaults=None, closure=None, globs=None): if isinstance(code, (tuple, list)): # unpack previous dump code, defaults, closure = code if isinstance(defaults, list): defaults = tuple(defaults)

keras/utils/generic_utils.py

keras

Python

84afc5193d38057e2e2badf9c889ea87d80d8fbf

generic_utils.py

func_load

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

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

def assert_orientation_landscape_image_is_correct(self, rendition): from willow.plugins.pillow import PillowImage with rendition.get_willow_image() as willow_image: image = PillowImage.open(willow_image) # Check that the image is the correct size (and not rotated) self.assertEqual(image.get_size(), (600, 450)) # Check that the red flower is in the bottom left # The JPEGs have compressed slightly differently so the colours won't be spot on colour = image.image.convert("RGB").getpixel((155, 282)) self.assertAlmostEqual(colour[0], 217, delta=25) self.assertAlmostEqual(colour[1], 38, delta=25) self.assertAlmostEqual(colour[2], 46, delta=25) # Check that the water is at the bottom colour = image.image.convert("RGB").getpixel((377, 434)) self.assertAlmostEqual(colour[0], 85, delta=25) self.assertAlmostEqual(colour[1], 93, delta=25) self.assertAlmostEqual(colour[2], 65, delta=25)

wagtail/images/tests/test_models.py

wagtail

Python

d10f15e55806c6944827d801cd9c2d53f5da4186

test_models.py

assert_orientation_landscape_image_is_correct

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

Reformat with black

def get_user_model(): try: return django_apps.get_model(settings.AUTH_USER_MODEL, require_ready=False) except ValueError: raise ImproperlyConfigured( "AUTH_USER_MODEL must be of the form 'app_label.model_name'" ) except LookupError: raise ImproperlyConfigured( "AUTH_USER_MODEL refers to model '%s' that has not been installed" % settings.AUTH_USER_MODEL )

django/contrib/auth/__init__.py

django

Python

9c19aff7c7561e3a82978a272ecdaad40dda5c00

__init__.py

get_user_model

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

Refs #33476 -- Reformatted code with Black.

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

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

plotly.py

Python

43e3a4011080911901176aab919c0ecf5046ddd3

_bar.py

visible

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

switch to black .22

def fgcolor(value, dark='000000', light='ffffff'): value = value.lower().strip('#') if not re.match('^[0-9a-f]{6}$', value): return '' return f'#{foreground_color(value, dark, light)}' @register.filter()

netbox/utilities/templatetags/builtins/filters.py

@register.filter()

netbox

Python

7c105019d8ae9205051c302e7499b33a455f9176

filters.py

fgcolor

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

Closes #8600: Document built-in template tags & filters

def test_image(): # Test fails for matplotlib 1.5+ because the size of the image # generated by matplotlib has changed. if Version(matplotlib.__version__) == Version("3.4.1"): image_size = 432 else: pytest.skip("Test fails for older matplotlib") np.random.seed(0) # image size depends on the seed fig, ax = plt.subplots(figsize=(2, 2)) ax.imshow(np.random.random((10, 10)), cmap=plt.cm.jet, interpolation="nearest") _assert_output_equal( fake_renderer_output(fig, FakeRenderer), f, )

packages/python/plotly/plotly/matplotlylib/mplexporter/tests/test_basic.py

plotly.py

Python

1d82b8822120db088bfeb6c8eae7ec8df9703783

test_basic.py

test_image

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

Updated distutils.Version to packaging.Version

def _build_tabs(self) -> None: logger.debug("Build Tabs") for section in self.config_tools.sections: tab = ttk.Notebook(self) self._tabs[section] = {"tab": tab} self.add(tab, text=section.replace("_", " ").title())

tools/preview/preview.py

faceswap

Python

1022651eb8a7741014f5d2ec7cbfe882120dfa5f

preview.py

_build_tabs

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

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

def theme_use_custom_titlebar(): if USE_CUSTOM_TITLEBAR is False: return False return USE_CUSTOM_TITLEBAR or pysimplegui_user_settings.get('-custom titlebar-', False)

PySimpleGUI.py

PySimpleGUI

Python

66931d51e1a06797381d3c32c2b1a4400c033357

PySimpleGUI.py

theme_use_custom_titlebar

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

Release 4.60.0

def test_dataset_stats_shuffle(ray_start_regular_shared): context = DatasetContext.get_current() context.optimize_fuse_stages = True ds = ray.data.range(1000, parallelism=10) ds = ds.random_shuffle().repartition(1, shuffle=True) stats = canonicalize(ds.stats()) assert ( stats == )

python/ray/data/tests/test_stats.py

ray

Python

ea791ab0a0f176c94c911ef0eb06ca8fa568de0c

test_stats.py

test_dataset_stats_shuffle

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

[Datasets] Print hierarchical stats for multi-stage operations. (#24119) The total execution time for multi-stage operations being logged twice in the dataset stats is [confusing to users](https://github.com/ray-project/ray/issues/23915), making it seem like each stage in the operation took the same amount of time. This PR modifies the stats output for multi-stage operations, such that the total execution time is printed out once as a top-level op stats line, with the stats for each of the (sub)stages indented and devoid of the total execution time repeat. This also opens the door for other op-level stats (e.g. peak memory utilization) and per-substage stats (e.g. total substage execution time).

def rewrite(e, Omega, x, wsym): if not isinstance(Omega, SubsSet): raise TypeError("Omega should be an instance of SubsSet") if len(Omega) == 0: raise ValueError("Length cannot be 0") # all items in Omega must be exponentials for t in Omega.keys(): if not isinstance(t, exp): raise ValueError("Value should be exp") rewrites = Omega.rewrites Omega = list(Omega.items()) nodes = build_expression_tree(Omega, rewrites) Omega.sort(key=lambda x: nodes[x[1]].ht(), reverse=True) # make sure we know the sign of each exp() term; after the loop, # g is going to be the "w" - the simplest one in the mrv set for g, _ in Omega: sig = sign(g.exp, x) if sig != 1 and sig != -1: raise NotImplementedError('Result depends on the sign of %s' % sig) if sig == 1: wsym = 1/wsym # if g goes to oo, substitute 1/w # O2 is a list, which results by rewriting each item in Omega using "w" O2 = [] denominators = [] for f, var in Omega: c = limitinf(f.exp/g.exp, x) if c.is_Rational: denominators.append(c.q) arg = f.exp if var in rewrites: if not isinstance(rewrites[var], exp): raise ValueError("Value should be exp") arg = rewrites[var].args[0] O2.append((var, exp((arg - c*g.exp).expand())*wsym**c)) # Remember that Omega contains subexpressions of "e". So now we find # them in "e" and substitute them for our rewriting, stored in O2 # the following powsimp is necessary to automatically combine exponentials, # so that the .xreplace() below succeeds: # TODO this should not be necessary from sympy.simplify.powsimp import powsimp f = powsimp(e, deep=True, combine='exp') for a, b in O2: f = f.xreplace({a: b}) for _, var in Omega: assert not f.has(var) # finally compute the logarithm of w (logw). logw = g.exp if sig == 1: logw = -logw # log(w)->log(1/w)=-log(w) # Some parts of SymPy have difficulty computing series expansions with # non-integral exponents. The following heuristic improves the situation: exponent = reduce(ilcm, denominators, 1) f = f.subs({wsym: wsym**exponent}) logw /= exponent return f, logw

sympy/series/gruntz.py

sympy

Python

f757f3daae6e11ea0cfb7dadc133274d8d74315f

gruntz.py

rewrite

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

Reordered imports 2

def register_converter_cb(key) -> None: from pandas.plotting import ( deregister_matplotlib_converters, register_matplotlib_converters, ) if cf.get_option(key): register_matplotlib_converters() else: deregister_matplotlib_converters() with cf.config_prefix("plotting.matplotlib"): cf.register_option( "register_converters", "auto", register_converter_doc, validator=is_one_of_factory(["auto", True, False]), cb=register_converter_cb, ) # ------ # Styler # ------ styler_sparse_index_doc = styler_sparse_columns_doc = styler_render_repr = styler_max_elements = styler_max_rows = styler_max_columns = styler_precision = styler_decimal = styler_thousands = styler_na_rep = styler_escape = styler_formatter = styler_multirow_align = styler_multicol_align = r styler_hrules = styler_environment = styler_encoding = styler_mathjax = with cf.config_prefix("styler"): cf.register_option("sparse.index", True, styler_sparse_index_doc, validator=is_bool) cf.register_option( "sparse.columns", True, styler_sparse_columns_doc, validator=is_bool ) cf.register_option( "render.repr", "html", styler_render_repr, validator=is_one_of_factory(["html", "latex"]), ) cf.register_option( "render.max_elements", 2**18, styler_max_elements, validator=is_nonnegative_int, ) cf.register_option( "render.max_rows", None, styler_max_rows, validator=is_nonnegative_int, ) cf.register_option( "render.max_columns", None, styler_max_columns, validator=is_nonnegative_int, ) cf.register_option("render.encoding", "utf-8", styler_encoding, validator=is_str) cf.register_option("format.decimal", ".", styler_decimal, validator=is_str) cf.register_option( "format.precision", 6, styler_precision, validator=is_nonnegative_int ) cf.register_option( "format.thousands", None, styler_thousands, validator=is_instance_factory([type(None), str]), ) cf.register_option( "format.na_rep", None, styler_na_rep, validator=is_instance_factory([type(None), str]), ) cf.register_option( "format.escape", None, styler_escape, validator=is_one_of_factory([None, "html", "latex"]), ) cf.register_option( "format.formatter", None, styler_formatter, validator=is_instance_factory([type(None), dict, Callable, str]), ) cf.register_option("html.mathjax", True, styler_mathjax, validator=is_bool) cf.register_option( "latex.multirow_align", "c", styler_multirow_align, validator=is_one_of_factory(["c", "t", "b", "naive"]), ) val_mca = ["r", "|r|", "|r", "r|", "c", "|c|", "|c", "c|", "l", "|l|", "|l", "l|"] val_mca += ["naive-l", "naive-r"] cf.register_option( "latex.multicol_align", "r", styler_multicol_align, validator=is_one_of_factory(val_mca), ) cf.register_option("latex.hrules", False, styler_hrules, validator=is_bool) cf.register_option( "latex.environment", None, styler_environment, validator=is_instance_factory([type(None), str]), )

pandas/core/config_init.py

pandas

Python

9612375ca28ade056f15d4338f1bfde5d045c9fc

config_init.py

register_converter_cb

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

TYP: return values in core/*.py (#47587) * TYP: return values in core/*.py * fix test * to_html * to_html part 2 * DataFrame.query * more overloads * fix query? * increase stacklevel by one * fix rename_axis * and an overload for DataFrame.eval * address comments * fix typevar

def get_accounts_in_mappers(mapping_names): return frappe.db.sql(, (', '.join('%s' % d for d in mapping_names)))

erpnext/accounts/report/cash_flow/custom_cash_flow.py

erpnext

Python

119273e633ec8e56c7d5c4649ef81c3deeb5f7d2

custom_cash_flow.py

get_accounts_in_mappers

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

fix: custom cash flow mapper doesn't show any data