Datasets:

semeru

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code-text-galeras-code-summarization-3k-deduped

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Semeru Lab 7

spatial_3d_padding

def spatial_3d_padding(x, padding=((1, 1), (1, 1), (1, 1)), data_format=None): assert len(padding) == 3 assert len(padding[0]) == 2 assert len(padding[1]) == 2 assert len(padding[2]) == 2 if data_format is None: data_format = image_data_format() if data_format not in {"channels_first", "channels_last"}: raise ValueError("Unknown data_format: " + str(data_format)) if data_format == "channels_first": pattern = [ [0, 0], [0, 0], [padding[0][0], padding[0][1]], [padding[1][0], padding[1][1]], [padding[2][0], padding[2][1]], ] else: pattern = [ [0, 0], [padding[0][0], padding[0][1]], [padding[1][0], padding[1][1]], [padding[2][0], padding[2][1]], [0, 0], ] return tf.compat.v1.pad(x, pattern) @keras_export("keras.backend.stack") @tf.__internal__.dispatch.add_dispatch_support @doc_controls.do_not_generate_docs

84afc5193d38057e2e2badf9c889ea87d80d8fbf

@keras_export("keras.backend.stack") @tf.__internal__.dispatch.add_dispatch_support @doc_controls.do_not_generate_docs

backend.py

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

keras

keras/backend.py

Python

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

list_local

def list_local(): result = [] for dist_name in get_hub_packages_dir().glob(r'*/v*.dist-info'): result.append(dist_name) return result

a5fd192b186c66aa983137ca3a179caac7f6b786

hubapi.py

feat: optimize create hub root (#4388)

jina

jina/hubble/hubapi.py

Python

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

test_render_mention_stream_api

def test_render_mention_stream_api(self) -> None: content = "This mentions #**Denmark** and @**King Hamlet**." result = self.api_post( self.example_user("othello"), "/api/v1/messages/render", dict(content=content), ) response_dict = self.assert_json_success(result) user_id = self.example_user("hamlet").id stream_id = get_stream("Denmark", get_realm("zulip")).id self.assertEqual( response_dict["rendered"], f'<p>This mentions <a class="stream" data-stream-id="{stream_id}" href="/#narrow/stream/{stream_id}-Denmark">#Denmark</a> and <span class="user-mention" data-user-id="{user_id}">@King Hamlet</span>.</p>', )

a142fbff85302c5e3acb2e204eca2e9c75dbc74b

test_markdown.py

tests: Refactor away result.json() calls with helpers. Signed-off-by: Zixuan James Li <[email protected]>

zulip

zerver/tests/test_markdown.py

Python

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

strip_accents_unicode

def strip_accents_unicode(s): try: # If `s` is ASCII-compatible, then it does not contain any accented # characters and we can avoid an expensive list comprehension s.encode("ASCII", errors="strict") return s except UnicodeEncodeError: normalized = unicodedata.normalize("NFKD", s) return "".join([c for c in normalized if not unicodedata.combining(c)])

c925b7e24c4b58e7191eec935d724e23d351c58b

text.py

DOC Ensures that strip_accents_unicode passes numpydoc (#24232) Co-authored-by: Thomas J. Fan <[email protected]>

scikit-learn

sklearn/feature_extraction/text.py

Python

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

test_default_float_converter_exception

def test_default_float_converter_exception(self): c = TextIO("qrs tuv") # Invalid values for default float converter with pytest.raises(ValueError, match="could not convert string 'qrs' to float64"): np.loadtxt(c)

b8c82404855d317a9ac77b4743d3db39f009c6aa

test_io.py

TST: Fixup current loadtxt tests for changes

numpy

numpy/lib/tests/test_io.py

Python

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

_check_axes_shape

def _check_axes_shape(self, axes, axes_num=None, layout=None, figsize=None): from pandas.plotting._matplotlib.tools import flatten_axes if figsize is None: figsize = (6.4, 4.8) visible_axes = self._flatten_visible(axes) if axes_num is not None: assert len(visible_axes) == axes_num for ax in visible_axes: # check something drawn on visible axes assert len(ax.get_children()) > 0 if layout is not None: result = self._get_axes_layout(flatten_axes(axes)) assert result == layout tm.assert_numpy_array_equal( visible_axes[0].figure.get_size_inches(), np.array(figsize, dtype=np.float64), )

03fef5f0e35200aa5828975b62782bcf11faa0d2

common.py

TST: Clean tests/plotting (#45992)

pandas

pandas/tests/plotting/common.py

Python

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

cg_command

async def cg_command(ctx, ticker="", length="14", start="", end=""): try: # Debug if cfg.DEBUG: logger.debug( "!stocks.ta.cg %s %s %s %s", ticker, length, 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) if not length.lstrip("-").isnumeric(): raise Exception("Number has to be an integer") length = float(length) ticker = ticker.upper() df_stock = discordbot.helpers.load(ticker, start) if df_stock.empty: raise Exception("Stock ticker is invalid") # Retrieve Data df_stock = df_stock.loc[(df_stock.index >= start) & (df_stock.index < end)] df_ta = momentum_model.cg("1440min", df_stock, length) # Output Data fig, axes = plt.subplots(2, 1, figsize=plot_autoscale(), dpi=PLOT_DPI) ax = axes[0] ax.set_title(f"{ticker} Centre of Gravity") ax.plot(df_stock.index, df_stock["Adj Close"].values, "k", lw=1) ax.set_xlim(df_stock.index[0], df_stock.index[-1]) ax.set_ylabel("Share Price ($)") ax.grid(b=True, which="major", color="#666666", linestyle="-") ax2 = axes[1] ax2.plot(df_ta.index, df_ta.values, "b", lw=2, label="CG") # shift cg 1 bar forward for signal signal = df_ta.values signal = np.roll(signal, 1) ax2.plot(df_ta.index, signal, "g", lw=1, label="Signal") ax2.set_xlim(df_stock.index[0], df_stock.index[-1]) ax2.grid(b=True, which="major", color="#666666", linestyle="-") plt.gcf().autofmt_xdate() fig.tight_layout(pad=1) plt.legend() plt.savefig("ta_cg.png") uploaded_image = gst_imgur.upload_image("ta_cg.png", title="something") image_link = uploaded_image.link if cfg.DEBUG: logger.debug("Image URL: %s", image_link) title = "Stocks: Center-of-Gravity " + 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_cg.png") await ctx.send(embed=embed) except Exception as e: embed = discord.Embed( title="ERROR Stocks: Center-of-Gravity", colour=cfg.COLOR, description=e, ) embed.set_author( name=cfg.AUTHOR_NAME, icon_url=cfg.AUTHOR_ICON_URL, ) await ctx.send(embed=embed)

f40ba0d256a78ab2b8461f0df3a9a52ca7dc5704

cg.py

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

OpenBBTerminal

discordbot/stocks/technical_analysis/cg.py

Python

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

csv_io_kwargs

def csv_io_kwargs(mode): # type: (str) -> Dict[str, Any] return {'mode': mode, 'newline': '', 'encoding': 'utf-8'}

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

wheel.py

upd; format

transferlearning

.venv/lib/python3.8/site-packages/pip/_internal/operations/install/wheel.py

Python

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

change_node_label

def change_node_label(self, label, new_label): if label not in self._node_labels: raise ValueError("No such node exists for the Truss") else: for node in self._nodes: if node[0] == label: if self._supports[label] == 'pinned': if 'R_'+str(label)+'_x' in list(self._reaction_loads) and 'R_'+str(label)+'_y' in list(self._reaction_loads): self._reaction_loads['R_'+str(new_label)+'_x'] = self._reaction_loads['R_'+str(label)+'_x'] self._reaction_loads['R_'+str(new_label)+'_y'] = self._reaction_loads['R_'+str(label)+'_y'] self._reaction_loads.pop('R_'+str(label)+'_x') self._reaction_loads.pop('R_'+str(label)+'_y') self._loads['R_'+str(new_label)+'_x'] = self._loads['R_'+str(label)+'_x'] self._loads['R_'+str(new_label)+'_y'] = self._loads['R_'+str(label)+'_y'] self._loads.pop('R_'+str(label)+'_x') self._loads.pop('R_'+str(label)+'_y') elif self._supports[label] == 'roller': if 'R_'+str(label)+'_y' in list(self._reaction_loads): self._reaction_loads['R_'+str(new_label)+'_y'] = self._reaction_loads['R_'+str(label)+'_y'] self._reaction_loads.pop('R_'+str(label)+'_y') self._loads['R_'+str(new_label)+'_y'] = self._loads['R_'+str(label)+'_y'] self._loads.pop('R_'+str(label)+'_y') for member in self._members: if member[1] == node[0]: member[1] = new_label self._member_nodes[member[0]] = [new_label, member[2]] self._nodes_occupied[(new_label, member[2])] = True self._nodes_occupied[(member[2], new_label)] = True self._nodes_occupied.pop(tuple([label, member[2]])) self._nodes_occupied.pop(tuple([member[2], label])) elif member[2] == node[0]: member[2] = new_label self._member_nodes[member[0]] = [member[1], new_label] self._nodes_occupied[(member[1], new_label)] = True self._nodes_occupied[(new_label, member[1])] = True self._nodes_occupied.pop(tuple([member[1], label])) self._nodes_occupied.pop(tuple([label, member[1]])) self._nodes[self._nodes.index((label, node[1], node[2]))] = (new_label, node[1], node[2]) self._node_labels[self._node_labels.index(node[0])] = new_label self._loads[new_label] = self._loads[node[0]] self._loads.pop(node[0]) self._supports[new_label] = self._supports[node[0]] self._supports.pop(node[0])

99ede53223eafb56b2c2b4ab7b8a6764b628c9d9

truss.py

remove_load method added along with other changes

sympy

sympy/physics/continuum_mechanics/truss.py

Python

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

get_cat_ids

def get_cat_ids(self, idx): return self.get_ann_info(idx)['labels'].astype(np.int).tolist()

4aaaf4dccfe26ac2265f77069f09aa8204f23337

openimages.py

[Feature] Support Class Aware Sampler (#7436) * [Feature] Support Class Aware Sampler * minor fix * minor fix * rename get_label_dict to get_index_dict * fix cas logic * minor fix * minor fix * minor fix * minor fix * minor fix

mmdetection

mmdet/datasets/openimages.py

Python

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

print_stack

def print_stack(self, *, limit=None, file=None): return base_tasks._task_print_stack(self, limit, file)

8198943edd73a363c266633e1aa5b2a9e9c9f526

tasks.py

add python 3.10.4 for windows

XX-Net

python3.10.4/Lib/asyncio/tasks.py

Python

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

_get_aligned_offsets

def _get_aligned_offsets(hd_list, height, align="baseline"): if height is None: height = max(h for h, d in hd_list) _api.check_in_list( ["baseline", "left", "top", "right", "bottom", "center"], align=align) if align == "baseline": height_descent = max(h - d for h, d in hd_list) descent = max(d for h, d in hd_list) height = height_descent + descent offsets = [0. for h, d in hd_list] elif align in ["left", "bottom"]: descent = 0. offsets = [d for h, d in hd_list] elif align in ["right", "top"]: descent = 0. offsets = [height - h + d for h, d in hd_list] elif align == "center": descent = 0. offsets = [(height - h) * .5 + d for h, d in hd_list] return height, descent, offsets

b51c471f0bea8ad2bd3e295ebf896cba0efbb5ef

offsetbox.py

FIX: VPacker and HPacker bottom/top alignment The bottom and top alignments were incorrectly defined before, this updates them to have the expected alignment.

matplotlib

lib/matplotlib/offsetbox.py

Python

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

duplicate_interleave

def duplicate_interleave(m): dim0 = m.shape[0] m = m.view(-1, 1) # flatten the matrix m = m.repeat(1, 2) # repeat all elements into the 2nd dimension m = m.view(dim0, -1) # reshape into a matrix, interleaving the copy return m # Copied from transformers.models.gptj.modeling_gptj.apply_rotary_pos_emb

d6b6fb9963e094216daa30ebf61224ca1c46921e

modeling_codegen.py

Add CodeGen model (#17443) * Add CodeGen model * Add missing key and switch order of super() * Fix torch.ones init with uint8 instead of bool * Address comments: copy statements and doc * update tests * remove old model parallel * fix batch gen tests * fix batch gen test * update test_gpt2_sample_max_time * fix codgen test and revert gpt2 test change * Fix incorrect tie_word_embedding value, typo, URL * Fix model order in README and styling * Reorder model list alphabetically * Set tie_word_embedding to False by default * Apply suggestions from code review * Better attn mask name & remove attn masked_bias * add tokenizer for codegen * quality * doc tokenizer * fix-copies * add CodeGenTokenizer in converter * make truncation optional * add test for truncation * add copyright * fix-copies * fix fast tokenizer decode * Update src/transformers/models/codegen/tokenization_codegen.py Co-authored-by: Patrick von Platen <[email protected]> * increase vocab_size in tests Co-authored-by: patil-suraj <[email protected]> Co-authored-by: Patrick von Platen <[email protected]>

transformers

src/transformers/models/codegen/modeling_codegen.py

Python

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

get_granger_causality

def get_granger_causality(time_series_y, time_series_x, lags): granger_set = pd.concat([time_series_y, time_series_x], axis=1) granger = grangercausalitytests(granger_set, [lags], verbose=False) return granger

f2ca215132de40804667feb4deaa0c6b8bfc3d25

econometrics_model.py

Econometrics Menu (#1403) * Add Statistics Menu * Add Granger Causality test * Apply Black formatting * Add Cointegration Tests * Adjust plotting for Cointegration test * Add Significant parameter to Cointegration tests * Move regression functions to seperate .py files * Progress on Panel Data * A lot of progress for Panel Data * Make functions robust and improve documentation * Re-enable Breusch-Godfrey * Add modify functionality * Improve modify functionality * Add Breusch-Pagan heteroscedasticity test * Capitalize a word * Include documentatin for the Statistics Menu * Update _index.md * Update _index.md * Update _index.md * Fix export statements and add Example datasets * Update example with Longley's dataset * Update documentation with a legit source * Compare the results from each regression models based on the wage_panel dataset * Updated with all relevant types of regression tables * Update with all relevant regression types for Panel data * Update _index.md * Add change column type, improve OLS, add time and entity effects for FE * Update documentation and fix a small bug * Add in Statistics menu, replacing Custom menu * Remove custom menu * Add in documentation * Add in gst files * Cointegration can be used on any amount of columns * Add Tests * Make tests time invariant * Update Poetry and Requirements * Change name of Statistics menu to Econometrics menu * Rename scripts * Add type in Documentation * Change names from Statistics to Econometrics * Add graph * Update tests with rounding and naming * Make minor adjustments to fix the tests * Updating tests : allow extra args for capture * Apply recorder formatting * Adding some minor formatting * Fix error with MyPy * Attempt to fix MyPy annoyance * super small style things * Fix small bugs and add plot command to dwat * Small description mistake * Update documentation with missing argument * Update styling * Add error handling and add improve show functionality * Fix merge issue * Allow import from custom_imports Co-authored-by: Jeroen Bouma <[email protected]> Co-authored-by: jmaslek <[email protected]> Co-authored-by: Chavithra PARANA <[email protected]>

OpenBBTerminal

gamestonk_terminal/econometrics/econometrics_model.py

Python

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

_load_bboxes

def _load_bboxes(self, results): ann_info = results['ann_info'] results['gt_bboxes'] = ann_info['bboxes'].copy() if self.denorm_bbox: h, w = results['img_shape'][:2] bbox_num = results['gt_bboxes'].shape[0] if bbox_num != 0: results['gt_bboxes'][:, 0::2] *= w results['gt_bboxes'][:, 1::2] *= h results['gt_bboxes'] = results['gt_bboxes'].astype(np.float32) gt_bboxes_ignore = ann_info.get('bboxes_ignore', None) if gt_bboxes_ignore is not None: results['gt_bboxes_ignore'] = gt_bboxes_ignore.copy() results['bbox_fields'].append('gt_bboxes_ignore') results['bbox_fields'].append('gt_bboxes') gt_is_group_ofs = ann_info.get('gt_is_group_ofs', None) if gt_is_group_ofs is not None: results['gt_is_group_ofs'] = gt_is_group_ofs.copy() return results

1516986a616fee8bb741d0ab2be40683045efccd

loading.py

[Feature] Support OpenImages Dataset (#6331) * [Feature] support openimage group of eval * [Feature] support openimage group of eval * support openimage dataset * support openimage challenge dataset * fully support OpenImages-V6 and OpenImages Challenge 2019 * Fix some logic error * update config file * fix get data_infos error * fully support OpenImages evaluation * update OpenImages config files * [Feature] support OpenImages datasets * fix bug * support load image metas from pipeline * fix bug * fix get classes logic error * update code * support get image metas * support openimags * support collect image metas * support Open Images * fix openimages logic * minor fix * add a new function to compute openimages tpfp * minor fix * fix ci error * minor fix * fix indication * minor fix * fix returns * fix returns * fix returns * fix returns * fix returns * minor fix * update readme * support loading image level labels and fix some logic * minor fix * minor fix * add class names * minor fix * minor fix * minor fix * add openimages test unit * minor fix * minor fix * fix test unit * minor fix * fix logic error * minor fix * fully support openimages * minor fix * fix docstring * fix docstrings in readthedocs * update get image metas script * label_description_file -> label_file * update openimages readme * fix test unit * fix test unit * minor fix * update readme file * Update get_image_metas.py

mmdetection

mmdet/datasets/pipelines/loading.py

Python

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

hstack

def hstack(tup, *, dtype=None, casting="same_kind"): if not overrides.ARRAY_FUNCTION_ENABLED: # raise warning if necessary _arrays_for_stack_dispatcher(tup, stacklevel=2) arrs = atleast_1d(*tup) if not isinstance(arrs, list): arrs = [arrs] # As a special case, dimension 0 of 1-dimensional arrays is "horizontal" if arrs and arrs[0].ndim == 1: return _nx.concatenate(arrs, 0, dtype=dtype, casting=casting) else: return _nx.concatenate(arrs, 1, dtype=dtype, casting=casting)

126046f84449fffeb0c75ae88657ce6b90236eee

shape_base.py

ENH: adding casting option to numpy.stack. (#21627) np.concatenate and np.stack are similar methods, but only np.concatenate has the casting option. This PR puts the casting option into the np.stack method to control what kind of data casting may occur Closes gh-20959 * ENH: adding casting option to numpy.stack. See #20959 * ENH: adding dtype option to numpy.stack. See #20959 * REV: removing auto-generated file loops_modulo.dispatch.c See numpy#20959 * REV: removing auto-generated file loops_modulo.dispatch.c See numpy#20959 * REV: removing inserted newlines See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * DOC: inserting versionadded info in dtype and casting parameters. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * TST: writing tests to stack method with dtype and casting options See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * DOC: adding upcoming_change file for new options casting and dtype in method stack. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * REV: reverting lint errors. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * DOC: inserting hstack and vstack methods in upcoming changes See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * ENH: adding dtype and casting keyword arguments to numpy.vstack and numpy.hstack. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * TST: writing tests to vstack and hstack methods with dtype and casting keyword arguments. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * REV: reverting the 'out' option type in stack method. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> * REV: Reverting out type changes in overload of shape_base.pyi file. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: jhonatancunha <[email protected]> Co-authored-by: patriarka <[email protected]> * DOC: correcting some english erros in upcoming_changes file. See numpy#20959 Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: alescrocaro <[email protected]> Co-authored-by: JessePires <[email protected]> Co-authored-by: patriarka <[email protected]>

numpy

numpy/core/shape_base.py

Python

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

d2_tweedie_score

def d2_tweedie_score(y_true, y_pred, *, sample_weight=None, power=0): y_type, y_true, y_pred, _ = _check_reg_targets( y_true, y_pred, None, dtype=[np.float64, np.float32] ) if y_type == "continuous-multioutput": raise ValueError("Multioutput not supported in d2_tweedie_score") if _num_samples(y_pred) < 2: msg = "D^2 score is not well-defined with less than two samples." warnings.warn(msg, UndefinedMetricWarning) return float("nan") y_true, y_pred = np.squeeze(y_true), np.squeeze(y_pred) numerator = mean_tweedie_deviance( y_true, y_pred, sample_weight=sample_weight, power=power ) y_avg = np.average(y_true, weights=sample_weight) denominator = _mean_tweedie_deviance( y_true, y_avg, sample_weight=sample_weight, power=power ) return 1 - numerator / denominator

75a94f518f7bd7d0bf581ffb67d9f961e3c4efbc

_regression.py

ENH migrate GLMs / TweedieRegressor to linear loss (#22548) Co-authored-by: Olivier Grisel <[email protected]> Co-authored-by: Thomas J. Fan <[email protected]>

scikit-learn

sklearn/metrics/_regression.py

Python

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

find_requirement

def find_requirement(self, req, upgrade): # type: (InstallRequirement, bool) -> Optional[InstallationCandidate] hashes = req.hashes(trust_internet=False) best_candidate_result = self.find_best_candidate( req.name, specifier=req.specifier, hashes=hashes, ) best_candidate = best_candidate_result.best_candidate installed_version = None # type: Optional[_BaseVersion] if req.satisfied_by is not None: installed_version = parse_version(req.satisfied_by.version)

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

package_finder.py

upd; format

transferlearning

.venv/lib/python3.8/site-packages/pip/_internal/index/package_finder.py

Python

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

add_handler

def add_handler(self, handler): sympy_deprecation_warning( , deprecated_since_version="1.8", active_deprecations_target='deprecated-askhandler', ) self.handlers.append(handler)

ad766d1c02943e86f50559abfd0c72e582c9ca6a

assume.py

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

sympy

sympy/assumptions/assume.py

Python

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

get_revision

def get_revision(cls, location): # type: (str) -> str raise NotImplementedError

f638f5d0e6c8ebed0e69a6584bc7f003ec646580

versioncontrol.py

upd; format

transferlearning

.venv/lib/python3.8/site-packages/pip/_internal/vcs/versioncontrol.py

Python

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

get_config_profile_type_map

def get_config_profile_type_map() -> t.Dict[t.Type[HostConfig], t.Type[HostProfile]]: return get_type_map(HostProfile, HostConfig)

3eb0485dd92c88cc92152d3656d94492db44b183

host_profiles.py

ansible-test - Use more native type hints. (#78435) * ansible-test - Use more native type hints. Simple search and replace to switch from comments to native type hints for return types of functions with no arguments. * ansible-test - Use more native type hints. Conversion of simple single-line function annotation type comments to native type hints. * ansible-test - Use more native type hints. Conversion of single-line function annotation type comments with default values to native type hints. * ansible-test - Use more native type hints. Manual conversion of type annotation comments for functions which have pylint directives.

ansible

test/lib/ansible_test/_internal/host_profiles.py

Python

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

query_task

def query_task(doctype, txt, searchfield, start, page_len, filters): from frappe.desk.reportview import build_match_conditions search_string = "%%%s%%" % txt order_by_string = "%s%%" % txt match_conditions = build_match_conditions("Task") match_conditions = ("and" + match_conditions) if match_conditions else "" return frappe.db.sql( % (searchfield, "%s", "%s", match_conditions, "%s", searchfield, "%s", searchfield, "%s", "%s"), (search_string, search_string, order_by_string, order_by_string, page_len, start), )

00ef499739959630cd7cf97419fbb6ca59be05f2

utils.py

refactor: use db independent offset syntax (#31345) * chore: use db independent offset syntax * fix: typo * style: reformat code to black spec Co-authored-by: Ankush Menat <[email protected]>

erpnext

erpnext/projects/utils.py

Python

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

_project_out

def _project_out(basis, U): # See Sec. 6.9 of The Symmetric Eigenvalue Problem by Beresford Parlett [1] # which motivates two loop iterations for basis subtraction. This # "twice is enough" approach is due to Kahan. See also a practical note # by SLEPc developers [2]. # # Interspersing with orthonormalization isn't directly grounded in the # original analysis, but taken from Algorithm 5 of [3]. In practice, due to # normalization, I have noticed that that the orthonormalized basis # does not always end up as a subspace of the starting basis in practice. # There may be room to refine this procedure further, but the adjustment # in the subsequent block handles this edge case well enough for now. # # [1]: https://epubs.siam.org/doi/abs/10.1137/1.9781611971163 # [2]: http://slepc.upv.es/documentation/reports/str1.pdf # [3]: https://arxiv.org/abs/1704.07458 for _ in range(2): U -= _mm(basis, _mm(basis.T, U)) U = _orthonormalize(U) # It's crucial to end on a subtraction of the original basis. # This seems to be a detail not present in [2], possibly because of # of reliance on soft locking. # # Near convergence, if the residuals R are 0 and our last # operation when projecting (X, P) out from R is the orthonormalization # done above, then due to catastrophic cancellation we may re-introduce # (X, P) subspace components into U, which can ruin the Rayleigh-Ritz # conditioning. # # We zero out any columns that are even remotely suspicious, so the invariant # that [basis, U] is zero-or-orthogonal is ensured. for _ in range(2): U -= _mm(basis, _mm(basis.T, U)) normU = jnp.linalg.norm(U, ord=2, axis=0, keepdims=True) U *= (normU >= 0.99).astype(U.dtype) return U

76fcf63fb4e53fd82faece677ed46db8b0c71707

linalg.py

Add initial LOBPCG top-k eigenvalue solver (#3112) This initial version is f32-only for accelerators, since it relies on an eigh call (which itself is f32 at most) in its inner loop. For details, see jax.experimental.linalg.standard_lobpcg documentation. This is a partial implementation of the similar [scipy lobpcg function](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.lobpcg.html).

jax

jax/experimental/sparse/linalg.py

Python

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

filter_empty_contents

def filter_empty_contents(self, ocr_info): new_ocr_info = [] empty_index = [] for idx, info in enumerate(ocr_info): if len(info["transcription"]) > 0: new_ocr_info.append(copy.deepcopy(info)) else: empty_index.append(info["id"]) for idx, info in enumerate(new_ocr_info): new_link = [] for link in info["linking"]: if link[0] in empty_index or link[1] in empty_index: continue new_link.append(link) new_ocr_info[idx]["linking"] = new_link return new_ocr_info

7a99588dd8b678233eff0391aac13ebd0f7000f6

label_ops.py

add more dataset yamls and fix re exceptions (#6791) * add more dataset yamls and fix re exceptions

PaddleOCR

ppocr/data/imaug/label_ops.py

Python

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

test_performance_issue_alert_user

def test_performance_issue_alert_user(self, mock_func): event = self.create_performance_issue() action_data = { "id": "sentry.mail.actions.NotifyEmailAction", "targetType": "Member", "targetIdentifier": str(self.user.id), } rule = Rule.objects.create( project=self.project, label="ja rule", data={ "match": "all", "actions": [action_data], }, ) notification = AlertRuleNotification( Notification(event=event, rule=rule), ActionTargetType.MEMBER, self.user.id ) with self.feature("organizations:performance-issues"), self.tasks(): notification.send() attachment, text = get_attachment() assert attachment["title"] == "N+1 Query" assert ( attachment["text"] == "db - SELECT `books_author`.`id`, `books_author`.`name` FROM `books_author` WHERE `books_author`.`id` = %s LIMIT 21" ) assert ( attachment["footer"] == f"{self.project.slug} | production | <http://testserver/settings/account/notifications/alerts/?referrer=issue_alert-slack-user|Notification Settings>" )

495d45c6547e398a5d4d3c1fa8cb97e69b1751f8

test_issue_alert.py

ref(slack): Update workflow alerts for perf issues (#40463) Slack workflow alerts for performance issues are showing a text value of "no value". This PR adds feature parity with error issues for workflow alerts so that they are shown with the proper data.

sentry

tests/sentry/integrations/slack/notifications/test_issue_alert.py

Python

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

save_pretrained

def save_pretrained(self, save_directory): self.feature_extractor.save_pretrained(save_directory) self.tokenizer.save_pretrained(save_directory)

ac227093e41cecb07c7e0f2fc9a504850907bd06

processing_vilt.py

Add ViLT (#14895) * First commit * Add conversion script * Make conversion script work for base model * More improvements * Update conversion script, works for vqa * Add indexing argument to meshgrid * Make conversion script work for ViltForPreTraining * Add ViltForPreTraining to docs * Fix device issue * Add processor * Add MinMaxResize to feature extractor * Implement call method of ViltProcessor * Fix tests * Add integration test * Add loss calculation for VQA * Improve tests * Improve some more tests * Debug tests * Small improvements * Add support for attention_mask * Remove mask_it * Add pixel_mask * Add tests for ViltFeatureExtractor * Improve tests * Add ViltForNaturalLanguageVisualReasoning * Add ViltForNaturalLanguageVisualReasoning to conversion script * Minor fixes * Add support for image_embeds, update docstrings to markdown * Update docs to markdown * Improve conversion script * Rename ViltForPreTraining to ViltForMaskedLM * Improve conversion script * Convert docstrings to markdown * Fix code example of retrieval model * Properly convert masked language model * Add integration test for nlvr * Fix code quality * Apply suggestions from code review * Add copied from statements * Fix pretrained_config_archive_map * Fix docs * Add model to README * Apply suggestions from code review Co-authored-by: Sylvain Gugger <[email protected]> * Apply more suggestions from code review * Make code more readable * Add ViltForNaturalLanguageVisualReasoning to the tests * Rename ViltForVisualQuestionAnswering to ViltForQuestionAnswering * Replace pixel_values_2 by single tensor * Add hidden_states and attentions * Fix one more test * Fix all tests * Update year * Fix rebase issues * Fix another rebase issue * Remove ViltForPreTraining from auto mapping * Rename ViltForImageRetrievalTextRetrieval to ViltForImageAndTextRetrieval * Make it possible to use BertTokenizerFast in the processor * Use BertTokenizerFast by default * Rename ViltForNaturalLanguageVisualReasoning, define custom model output Co-authored-by: Sylvain Gugger <[email protected]>

transformers

src/transformers/models/vilt/processing_vilt.py

Python

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

client_entity_removed_fixture

def client_entity_removed_fixture(hass): with patch( "homeassistant.components.webostv.WebOsClient", autospec=True ) as mock_client_class: client = mock_client_class.return_value client.hello_info = {"deviceUUID": "some-fake-uuid"} client.connected = False

eb487480381bff3aa87f4d80145b162863dc0a27

conftest.py

Add webostv 100% tests coverage for init (#64801)

core

tests/components/webostv/conftest.py

Python

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

test_calling_start_ray_head

def test_calling_start_ray_head(call_ray_stop_only): # Test that we can call ray start with various command line # parameters. # Test starting Ray with a redis port specified. check_call_ray(["start", "--head", "--port", "0"]) check_call_ray(["stop"]) # Test starting Ray with a node IP address specified. check_call_ray( ["start", "--head", "--node-ip-address", "127.0.0.1", "--port", "0"]) check_call_ray(["stop"]) # Test starting Ray with a system config parameter set. check_call_ray([ "start", "--head", "--system-config", "{\"metrics_report_interval_ms\":100}", "--port", "0" ]) check_call_ray(["stop"]) # Test starting Ray with the object manager and node manager ports # specified. check_call_ray([ "start", "--head", "--object-manager-port", "22345", "--node-manager-port", "54321", "--port", "0" ]) check_call_ray(["stop"]) # Test starting Ray with the worker port range specified. check_call_ray([ "start", "--head", "--min-worker-port", "51000", "--max-worker-port", "51050", "--port", "0" ]) check_call_ray(["stop"]) # Test starting Ray with a worker port list. check_call_ray(["start", "--head", "--worker-port-list", "10002,10003"]) check_call_ray(["stop"]) # Test starting Ray with a non-int in the worker port list. with pytest.raises(subprocess.CalledProcessError): check_call_ray(["start", "--head", "--worker-port-list", "10002,a"]) check_call_ray(["stop"]) # Test starting Ray with an invalid port in the worker port list. with pytest.raises(subprocess.CalledProcessError): check_call_ray(["start", "--head", "--worker-port-list", "100"]) check_call_ray(["stop"]) # Test starting Ray with the number of CPUs specified. check_call_ray(["start", "--head", "--num-cpus", "2", "--port", "0"]) check_call_ray(["stop"]) # Test starting Ray with the number of GPUs specified. check_call_ray(["start", "--head", "--num-gpus", "100", "--port", "0"]) check_call_ray(["stop"]) # Test starting Ray with redis shard ports specified. check_call_ray([ "start", "--head", "--redis-shard-ports", "6380,6381,6382", "--port", "0" ]) check_call_ray(["stop"]) # Test starting Ray with all arguments specified. check_call_ray([ "start", "--head", "--redis-shard-ports", "6380,6381,6382", "--object-manager-port", "22345", "--num-cpus", "2", "--num-gpus", "0", "--resources", "{\"Custom\": 1}", "--port", "0" ]) check_call_ray(["stop"]) # Test starting Ray with invalid external address. # It will fall back to creating a new one. check_call_ray( ["start", "--head", "--address", "127.0.0.1:6379", "--port", "0"]) check_call_ray(["stop"]) # Test starting Ray with RAY_REDIS_ADDRESS env. os.environ["RAY_REDIS_ADDRESS"] = "127.0.0.1:6379" check_call_ray(["start", "--head", "--port", "0"]) check_call_ray(["stop"]) del os.environ["RAY_REDIS_ADDRESS"] # Test --block. Killing a child process should cause the command to exit. blocked = subprocess.Popen( ["ray", "start", "--head", "--block", "--port", "0"]) blocked.poll() assert blocked.returncode is None # Make sure ray cluster is up run_string_as_driver() # Make sure ray cluster is up run_string_as_driver() kill_process_by_name("raylet", SIGKILL=True) wait_for_children_of_pid_to_exit(blocked.pid, timeout=30) blocked.wait() assert blocked.returncode != 0, "ray start shouldn't return 0 on bad exit" # Test --block. Killing the command should clean up all child processes. blocked = subprocess.Popen( ["ray", "start", "--head", "--block", "--port", "0"]) blocked.poll() assert blocked.returncode is None wait_for_children_of_pid(blocked.pid, num_children=7, timeout=30) blocked.terminate() wait_for_children_of_pid_to_exit(blocked.pid, timeout=30) blocked.wait() assert blocked.returncode != 0, "ray start shouldn't return 0 on bad exit"

8cc268096cb79ededff67b90806b4e4d996ca775

test_multi_node_3.py

[GCS][Bootstrap 3/n] Refactor to support GCS bootstrap (#21295) This PR refactors several components to support switching to GCS address bootstrapping later: - Treat address from `ray.init()` and `ray` CLI as bootstrap address instead of assuming it is Redis address. - Ray client servers support `--address` flag instead of `--redis-address`. - A few other miscellaneous cleanup. Also, add a test for starting non-head node with `ray start`.

ray

python/ray/tests/test_multi_node_3.py

Python

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

check_task_fail_for_duplicates

def check_task_fail_for_duplicates(session): metadata = reflect_tables([TaskFail], session) task_fail = metadata.tables.get(TaskFail.__tablename__) # type: ignore if task_fail is None: # table not there return if "run_id" in task_fail.columns: # upgrade already applied return yield from check_table_for_duplicates( table_name=task_fail.name, uniqueness=['dag_id', 'task_id', 'execution_date'], session=session, )

f06b3955b1d937138fb38021a6a373b94ae8f9e8

db.py

Add map_index and run_id to TaskFail (#22260) TaskFail entities always belong to a TaskInstance. The PK for TaskInstance has changed, so we need to update TaskFail to have the new columns.

airflow

airflow/utils/db.py

Python

https://github.com/apache/airflow.git

add_to_apply_calls

def add_to_apply_calls(self, func, length=None, width=None, *args, **kwargs): return cuDFOnRayDataframePartition( self.gpu_manager, self.apply(func, *args, **kwargs), length=length, width=width, )

d6d503ac7c3028d871c34d9e99e925ddb0746df6

partition.py

FIX-#4597: Refactor Partition handling of func, args, kwargs (#4715) Co-authored-by: Iaroslav Igoshev <[email protected]> Signed-off-by: Jonathan Shi <[email protected]>

modin

modin/core/execution/ray/implementations/cudf_on_ray/partitioning/partition.py

Python

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

get_feature_names_out

def get_feature_names_out(self, input_features=None): check_is_fitted(self) input_features = _check_feature_names_in(self, input_features) # List of tuples (name, feature_names_out) transformer_with_feature_names_out = [] for name, trans, column, _ in self._iter(fitted=True): feature_names_out = self._get_feature_name_out_for_transformer( name, trans, column, input_features ) if feature_names_out is None: continue transformer_with_feature_names_out.append((name, feature_names_out)) if not transformer_with_feature_names_out: # No feature names return np.array([], dtype=object) if self.verbose_feature_names_out: # Prefix the feature names out with the transformers name names = list( chain.from_iterable( (f"{name}__{i}" for i in feature_names_out) for name, feature_names_out in transformer_with_feature_names_out ) ) return np.asarray(names, dtype=object) # verbose_feature_names_out is False # Check that names are all unique without a prefix feature_names_count = Counter( chain.from_iterable(s for _, s in transformer_with_feature_names_out) ) top_6_overlap = [ name for name, count in feature_names_count.most_common(6) if count > 1 ] top_6_overlap.sort() if top_6_overlap: if len(top_6_overlap) == 6: # There are more than 5 overlapping names, we only show the 5 # of the feature names names_repr = str(top_6_overlap[:5])[:-1] + ", ...]" else: names_repr = str(top_6_overlap) raise ValueError( f"Output feature names: {names_repr} are not unique. Please set " "verbose_feature_names_out=True to add prefixes to feature names" ) return np.concatenate( [name for _, name in transformer_with_feature_names_out], )

279388d9ed2ea83194dd45a2d78161be30b43aa7

_column_transformer.py

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

scikit-learn

sklearn/compose/_column_transformer.py

Python

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

parse_query_string

def parse_query_string(query_string, operator=None, zero_terms=MATCH_NONE): filters, query_string = separate_filters_from_query(query_string) is_phrase = False tokens = [] for part in query_string.split('"'): part = part.strip() if part: if is_phrase: tokens.append(Phrase(part)) else: tokens.append( PlainText(part, operator=operator or PlainText.DEFAULT_OPERATOR) ) is_phrase = not is_phrase if tokens: if operator == "or": search_query = OR(tokens) else: search_query = AND(tokens) else: search_query = zero_terms return filters, search_query

d10f15e55806c6944827d801cd9c2d53f5da4186

utils.py

Reformat with black

wagtail

wagtail/search/utils.py

Python

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

preprocess_input

def preprocess_input(x, data_format=None): return x @keras_export("keras.applications.resnet_rs.decode_predictions")

9c24fc4057303172ad977cebd626da2b7adb63d4

@keras_export("keras.applications.resnet_rs.decode_predictions")

resnet_rs.py

Add ResNet-RS to keras.applications - code refactor

keras

keras/applications/resnet_rs.py

Python

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

check_credit_limit

def check_credit_limit(customer, company, ignore_outstanding_sales_order=False, extra_amount=0): credit_limit = get_credit_limit(customer, company) if not credit_limit: return customer_outstanding = get_customer_outstanding(customer, company, ignore_outstanding_sales_order) if extra_amount > 0: customer_outstanding += flt(extra_amount) if credit_limit > 0 and flt(customer_outstanding) > credit_limit: msgprint( _("Credit limit has been crossed for customer {0} ({1}/{2})").format( customer, customer_outstanding, credit_limit ) ) # If not authorized person raise exception credit_controller_role = frappe.db.get_single_value("Accounts Settings", "credit_controller") if not credit_controller_role or credit_controller_role not in frappe.get_roles(): # form a list of emails for the credit controller users credit_controller_users = get_users_with_role(credit_controller_role or "Sales Master Manager") # form a list of emails and names to show to the user credit_controller_users_formatted = [ get_formatted_email(user).replace("<", "(").replace(">", ")") for user in credit_controller_users ] if not credit_controller_users_formatted: frappe.throw( _("Please contact your administrator to extend the credit limits for {0}.").format(customer) ) message = .format( customer, "<li>".join(credit_controller_users_formatted) ) # if the current user does not have permissions to override credit limit, # prompt them to send out an email to the controller users frappe.msgprint( message, title="Notify", raise_exception=1, primary_action={ "label": "Send Email", "server_action": "erpnext.selling.doctype.customer.customer.send_emails", "args": { "customer": customer, "customer_outstanding": customer_outstanding, "credit_limit": credit_limit, "credit_controller_users_list": credit_controller_users, }, }, ) @frappe.whitelist()

494bd9ef78313436f0424b918f200dab8fc7c20b

@frappe.whitelist()

customer.py

style: format code with black

erpnext

erpnext/selling/doctype/customer/customer.py

Python

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

test__linux_lvm_no_logical_volumes

def test__linux_lvm_no_logical_volumes(self): vgs_out = {"pid": 123, "retcode": 0, "stdout": " vg00\n vg01", "stderr": ""} lvs_out = {"pid": 456, "retcode": 0, "stdout": "", "stderr": ""} cmd_out = MagicMock(autospec=True, side_effect=[vgs_out, lvs_out, lvs_out]) patch_which = patch( "salt.utils.path.which", autospec=True, return_value="/usr/sbin/lvm" ) patch_cmd_lvm = patch.dict(lvm.__salt__, {"cmd.run_all": cmd_out}) with patch_which, patch_cmd_lvm: ret = lvm._linux_lvm() assert ret == {"lvm": {"vg00": [], "vg01": []}}, ret

637e74f0f2e80723fa30eb8f83a86af440c6ba4e

test_lvm.py

Uses only command's stdout to populate lvm grain

salt

tests/unit/grains/test_lvm.py

Python

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

jaxpr_collectives

def jaxpr_collectives(jaxpr): for eqn in jaxpr.eqns: if eqn.primitive in _collective_primitives: yield eqn.primitive for subjaxpr in core.subjaxprs(jaxpr): yield from jaxpr_collectives(subjaxpr) ### xla_call underlying jit

4354f355a858e6e99a0853dde90812bf8e846ee5

xla.py

prototyping dynamic shapes Co-authored-by: Dougal Maclaurin <[email protected]>

jax

jax/interpreters/xla.py

Python

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

_conda_version

def _conda_version(self): if not self._is_conda: return "N/A" with Popen("conda --version", shell=True, stdout=PIPE, stderr=PIPE) as conda: stdout, stderr = conda.communicate() if stderr: return "Conda is used, but version not found" version = stdout.decode(self._encoding, errors="replace").splitlines() return "\n".join(version)

48c886b3dce3d3117ad16edaf35c8abd28dc51f5

sysinfo.py

Allow decoding errors

faceswap

lib/sysinfo.py

Python

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

_multi_dot

def _multi_dot(arrays, order, i, j, precision): if i == j: return arrays[i] else: return jnp.dot(_multi_dot(arrays, order, i, order[i, j], precision), _multi_dot(arrays, order, order[i, j] + 1, j, precision), precision=precision)

2416d154355f19e77b5c1ddf1de1f8552e4a98ad

linalg.py

Call _check_arraylike for jnp.linalg & jnp.fft functions

jax

jax/_src/third_party/numpy/linalg.py

Python

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

unique_id

def unique_id(self): if self.serial is None: return f"{self._bridge_unique_id}_{self.device_id}" return super().unique_id

8b1713a691bd0c90824261be785f1998ad89f66f

__init__.py

Add support for non-serialized devices (light, switch, cover, fan in RA3 Zones) (#75323) Co-authored-by: J. Nick Koston <[email protected]>

core

homeassistant/components/lutron_caseta/__init__.py

Python

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

eval

def eval(self, args, assumptions=True): # Support for deprecated design # When old design is removed, this will always return None sympy_deprecation_warning( , deprecated_since_version="1.8", active_deprecations_target='deprecated-askhandler', stacklevel=5, ) expr, = args res, _res = None, None mro = inspect.getmro(type(expr)) for handler in self.handlers: cls = get_class(handler) for subclass in mro: eval_ = getattr(cls, subclass.__name__, None) if eval_ is None: continue res = eval_(expr, assumptions) # Do not stop if value returned is None # Try to check for higher classes if res is None: continue if _res is None: _res = res else: # only check consistency if both resolutors have concluded if _res != res: raise ValueError('incompatible resolutors') break return res @contextmanager

ad766d1c02943e86f50559abfd0c72e582c9ca6a

@contextmanager

assume.py

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

sympy

sympy/assumptions/assume.py

Python

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

_translate_tick_params

def _translate_tick_params(kw, reverse=False): kw_ = {**kw} # The following lists may be moved to a more accessible location. allowed_keys = [ 'size', 'width', 'color', 'tickdir', 'pad', 'labelsize', 'labelcolor', 'zorder', 'gridOn', 'tick1On', 'tick2On', 'label1On', 'label2On', 'length', 'direction', 'left', 'bottom', 'right', 'top', 'labelleft', 'labelbottom', 'labelright', 'labeltop', 'labelrotation', *_gridline_param_names] keymap = { # tick_params key -> axis key 'length': 'size', 'direction': 'tickdir', 'rotation': 'labelrotation', 'left': 'tick1On', 'bottom': 'tick1On', 'right': 'tick2On', 'top': 'tick2On', 'labelleft': 'label1On', 'labelbottom': 'label1On', 'labelright': 'label2On', 'labeltop': 'label2On', } if reverse: kwtrans = { oldkey: kw_.pop(newkey) for oldkey, newkey in keymap.items() if newkey in kw_ } else: kwtrans = { newkey: kw_.pop(oldkey) for oldkey, newkey in keymap.items() if oldkey in kw_ } if 'colors' in kw_: c = kw_.pop('colors') kwtrans['color'] = c kwtrans['labelcolor'] = c # Maybe move the checking up to the caller of this method. for key in kw_: if key not in allowed_keys: raise ValueError( "keyword %s is not recognized; valid keywords are %s" % (key, allowed_keys)) kwtrans.update(kw_) return kwtrans

6c88dd95935bcc5125ebaa81cd8202c347f3941c

axis.py

Add translation from internal kw to ones in tick_params()

matplotlib

lib/matplotlib/axis.py

Python

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

get_order_by

def get_order_by(self): result = [] seen = set() for expr, is_ref in self._order_by_pairs(): resolved = expr.resolve_expression(self.query, allow_joins=True, reuse=None) if self.query.combinator and self.select: src = resolved.get_source_expressions()[0] expr_src = expr.get_source_expressions()[0] # Relabel order by columns to raw numbers if this is a combined # query; necessary since the columns can't be referenced by the # fully qualified name and the simple column names may collide. for idx, (sel_expr, _, col_alias) in enumerate(self.select): if is_ref and col_alias == src.refs: src = src.source elif col_alias and not ( isinstance(expr_src, F) and col_alias == expr_src.name ): continue if src == sel_expr: resolved.set_source_expressions([RawSQL("%d" % (idx + 1), ())]) break else: if col_alias: raise DatabaseError( "ORDER BY term does not match any column in the result set." ) # Add column used in ORDER BY clause to the selected # columns and to each combined query. order_by_idx = len(self.query.select) + 1 col_name = f"__orderbycol{order_by_idx}" for q in self.query.combined_queries: q.add_annotation(expr_src, col_name) self.query.add_select_col(resolved, col_name) resolved.set_source_expressions([RawSQL(f"{order_by_idx}", ())]) sql, params = self.compile(resolved) # Don't add the same column twice, but the order direction is # not taken into account so we strip it. When this entire method # is refactored into expressions, then we can check each part as we # generate it. without_ordering = self.ordering_parts.search(sql)[1] params_hash = make_hashable(params) if (without_ordering, params_hash) in seen: continue seen.add((without_ordering, params_hash)) result.append((resolved, (sql, params, is_ref))) return result

9c19aff7c7561e3a82978a272ecdaad40dda5c00

compiler.py

Refs #33476 -- Reformatted code with Black.

django

django/db/models/sql/compiler.py

Python

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

engine

async def engine(self) -> AsyncEngine: if sqlite3.sqlite_version_info < self.MIN_SQLITE_VERSION: required = ".".join(str(v) for v in self.MIN_SQLITE_VERSION) raise RuntimeError( f"Orion requires sqlite >= {required} but we found version " f"{sqlite3.sqlite_version}" ) kwargs = {} loop = get_running_loop() cache_key = ( loop, self.connection_url, self.echo, self.timeout, ) if cache_key not in self.ENGINES: # apply database timeout if self.timeout is not None: kwargs["connect_args"] = dict(timeout=self.timeout) # use `named` paramstyle because of edge cases where `qmark` # results in params being sent in the wrong positional order # https://github.com/PrefectHQ/prefect/pull/6645 kwargs["paramstyle"] = "named" # ensure a long-lasting pool is used with in-memory databases # because they disappear when the last connection closes if ":memory:" in self.connection_url: kwargs.update(poolclass=sa.pool.SingletonThreadPool) engine = create_async_engine(self.connection_url, echo=self.echo, **kwargs) sa.event.listen(engine.sync_engine, "engine_connect", self.setup_sqlite) self.ENGINES[cache_key] = engine await self.schedule_engine_disposal(cache_key) return self.ENGINES[cache_key]

6ec2dcd6d424da1d069b2ecf378b4e4ddfdd43e3

configurations.py

Resolve SQLite param ordering issue

prefect

src/prefect/orion/database/configurations.py

Python

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

test_highlighted

def test_highlighted(qtbot): doc = QTextDocument() completiondelegate._Highlighter(doc, 'Hello', Qt.GlobalColor.red) doc.setPlainText('Hello World') # Needed so the highlighting actually works. edit = QTextEdit() qtbot.add_widget(edit) edit.setDocument(doc) colors = [f.foreground().color() for f in doc.allFormats()] assert QColor('red') in colors

0877fb0d78635692e481c8bde224fac5ad0dd430

test_completiondelegate.py

Run scripts/dev/rewrite_enums.py

qutebrowser

tests/unit/completion/test_completiondelegate.py

Python

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

topological_sort

def topological_sort(cls, assignments): if not all(isinstance(i, Assignment) for i in assignments): # Will support more things later raise NotImplementedError("CodeBlock.topological_sort only supports Assignments") if any(isinstance(i, AugmentedAssignment) for i in assignments): raise NotImplementedError("CodeBlock.topological_sort does not yet work with AugmentedAssignments") # Create a graph where the nodes are assignments and there is a directed edge # between nodes that use a variable and nodes that assign that # variable, like # [(x := 1, y := x + 1), (x := 1, z := y + z), (y := x + 1, z := y + z)] # If we then topologically sort these nodes, they will be in # assignment order, like # x := 1 # y := x + 1 # z := y + z # A = The nodes # # enumerate keeps nodes in the same order they are already in if # possible. It will also allow us to handle duplicate assignments to # the same variable when those are implemented. A = list(enumerate(assignments)) # var_map = {variable: [nodes for which this variable is assigned to]} # like {x: [(1, x := y + z), (4, x := 2 * w)], ...} var_map = defaultdict(list) for node in A: i, a = node var_map[a.lhs].append(node) # E = Edges in the graph E = [] for dst_node in A: i, a = dst_node for s in a.rhs.free_symbols: for src_node in var_map[s]: E.append((src_node, dst_node)) ordered_assignments = topological_sort([A, E]) # De-enumerate the result return cls(*[a for i, a in ordered_assignments])

65be461082dda54c8748922f9c29a19af1279fe1

ast.py

Remove abbreviations in documentation

sympy

sympy/codegen/ast.py

Python

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

adapt

def adapt(self, data, batch_size=None, steps=None): super().adapt(data, batch_size=batch_size, steps=steps)

84afc5193d38057e2e2badf9c889ea87d80d8fbf

discretization.py

Reformatting the codebase with black. PiperOrigin-RevId: 450093126

keras

keras/layers/preprocessing/discretization.py

Python

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

parse_datetime

def parse_datetime(value): try: return datetime.datetime.fromisoformat(value) except ValueError: if match := datetime_re.match(value): kw = match.groupdict() kw["microsecond"] = kw["microsecond"] and kw["microsecond"].ljust(6, "0") tzinfo = kw.pop("tzinfo") if tzinfo == "Z": tzinfo = utc elif tzinfo is not None: offset_mins = int(tzinfo[-2:]) if len(tzinfo) > 3 else 0 offset = 60 * int(tzinfo[1:3]) + offset_mins if tzinfo[0] == "-": offset = -offset tzinfo = get_fixed_timezone(offset) kw = {k: int(v) for k, v in kw.items() if v is not None} return datetime.datetime(**kw, tzinfo=tzinfo)

9c19aff7c7561e3a82978a272ecdaad40dda5c00

dateparse.py

Refs #33476 -- Reformatted code with Black.

django

django/utils/dateparse.py

Python

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

create_module

def create_module(self, spec): # By default, defer to default semantics for the new module. return None # We don't define exec_module() here since that would break # hasattr checks we do to support backward compatibility.

8198943edd73a363c266633e1aa5b2a9e9c9f526

_abc.py

add python 3.10.4 for windows

XX-Net

python3.10.4/Lib/importlib/_abc.py

Python

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

responder

def responder(request): # Find an available port with socket.socket() as sock: sock.bind(("localhost", 0)) port = sock.getsockname()[1] server_process = multiprocessing.Process( target=process_server, args=(request.param, port) ) server_process.start() yield port server_process.join(10) server_process.terminate() kill_time = 5 wait_time = 0 while server_process.is_alive(): if wait_time > kill_time: server_process.kill() break else: wait_time += 0.1 time.sleep(0.1) server_process.close() @pytest.mark.parametrize( "responder, read_method, parquet_engine", [ (CSVUserAgentResponder, pd.read_csv, None), (JSONUserAgentResponder, pd.read_json, None), (ParquetPyArrowUserAgentResponder, pd.read_parquet, "pyarrow"), pytest.param( ParquetFastParquetUserAgentResponder, pd.read_parquet, "fastparquet", # TODO(ArrayManager) fastparquet marks=[ td.skip_array_manager_not_yet_implemented, pytest.mark.xfail(PY310, reason="fastparquet failing on 3.10"), ], ), (PickleUserAgentResponder, pd.read_pickle, None), (StataUserAgentResponder, pd.read_stata, None), (GzippedCSVUserAgentResponder, pd.read_csv, None), (GzippedJSONUserAgentResponder, pd.read_json, None), ], indirect=["responder"], )

c5ff649b11bd625ca36ad218539badb1c2057668

@pytest.mark.parametrize( "responder, read_method, parquet_engine", [ (CSVUserAgentResponder, pd.read_csv, None), (JSONUserAgentResponder, pd.read_json, None), (ParquetPyArrowUserAgentResponder, pd.read_parquet, "pyarrow"), pytest.param( ParquetFastParquetUserAgentResponder, pd.read_parquet, "fastparquet", # TODO(ArrayManager) fastparquet marks=[ td.skip_array_manager_not_yet_implemented, pytest.mark.xfail(PY310, reason="fastparquet failing on 3.10"), ], ), (PickleUserAgentResponder, pd.read_pickle, None), (StataUserAgentResponder, pd.read_stata, None), (GzippedCSVUserAgentResponder, pd.read_csv, None), (GzippedJSONUserAgentResponder, pd.read_json, None), ], indirect=["responder"], )

test_user_agent.py

CI/TST: Call join on server process test (#45628)

pandas

pandas/tests/io/test_user_agent.py

Python

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

_dirmatch

def _dirmatch(path, matchwith): matchlen = len(matchwith) if (path.startswith(matchwith) and path[matchlen:matchlen + 1] in [os.sep, '']): return True return False

4c73560b313821fbfbb8c943e02c8b298b7c1731

_clonevirtualenv.py

[runtime env] Support clone `virtualenv` from an existing `virtualenv` (#22309) Before this PR, we can't run ray in virtualenv, cause `runtime_env` does not support create a new virtualenv from an existing virtualenv. More details:https://github.com/ray-project/ray/pull/21801#discussion_r796848499 Co-authored-by: 捕牛 <[email protected]>

ray

python/ray/_private/runtime_env/_clonevirtualenv.py

Python

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

max_mireds

def max_mireds(self) -> int: if color_temp := self.resource.color_temperature: return color_temp.mirek_schema.mirek_maximum # return a fallback value to prevent issues with mired->kelvin conversions return FALLBACK_MAX_MIREDS

10e796e9d5916ce214d23e6aeaf5d757638b07b1

light.py

Fix issues with Color temperature conversions in Hue (#83982)

core

homeassistant/components/hue/v2/light.py

Python

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

prde_no_cancel_b_large

def prde_no_cancel_b_large(b, Q, n, DE): db = b.degree(DE.t) m = len(Q) H = [Poly(0, DE.t)]*m for N, i in itertools.product(range(n, -1, -1), range(m)): # [n, ..., 0] si = Q[i].nth(N + db)/b.LC() sitn = Poly(si*DE.t**N, DE.t) H[i] = H[i] + sitn Q[i] = Q[i] - derivation(sitn, DE) - b*sitn if all(qi.is_zero for qi in Q): dc = -1 M = zeros(0, 2, DE.t) else: dc = max([qi.degree(DE.t) for qi in Q]) M = Matrix(dc + 1, m, lambda i, j: Q[j].nth(i), DE.t) A, u = constant_system(M, zeros(dc + 1, 1, DE.t), DE) c = eye(m, DE.t) A = A.row_join(zeros(A.rows, m, DE.t)).col_join(c.row_join(-c)) return (H, A)

e94a7b45d7b033ccbd57395dca28b654f875c54c

prde.py

Improve loop performance

sympy

sympy/integrals/prde.py

Python

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

_discrete_log_shanks_steps

def _discrete_log_shanks_steps(n, a, b, order=None): a %= n b %= n if order is None: order = n_order(b, n) m = isqrt(order) + 1 T = {} x = 1 for i in range(m): T[x] = i x = x * b % n z = mod_inverse(b, n) z = pow(z, m, n) x = a for i in range(m): if x in T: return i * m + T[x] x = x * z % n raise ValueError("Log does not exist")

9d58006fc0a23afcba38f641c9472917c436428a

residue_ntheory.py

Code cleanup

sympy

sympy/ntheory/residue_ntheory.py

Python

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

get_lead_data

def get_lead_data(filters, based_on): based_on_field = frappe.scrub(based_on) conditions = get_filter_conditions(filters) lead_details = frappe.db.sql( .format( based_on_field=based_on_field, conditions=conditions ), filters, as_dict=1, ) lead_map = frappe._dict() for d in lead_details: lead_map.setdefault(d.get(based_on_field), []).append(d.name) data = [] for based_on_value, leads in lead_map.items(): row = {based_on_field: based_on_value, "lead_count": len(leads)} row["quot_count"] = get_lead_quotation_count(leads) row["opp_count"] = get_lead_opp_count(leads) row["order_count"] = get_quotation_ordered_count(leads) row["order_value"] = get_order_amount(leads) or 0 row["opp_lead"] = flt(row["opp_count"]) / flt(row["lead_count"] or 1.0) * 100.0 row["quot_lead"] = flt(row["quot_count"]) / flt(row["lead_count"] or 1.0) * 100.0 row["order_quot"] = flt(row["order_count"]) / flt(row["quot_count"] or 1.0) * 100.0 data.append(row) return data

494bd9ef78313436f0424b918f200dab8fc7c20b

campaign_efficiency.py

style: format code with black

erpnext

erpnext/crm/report/campaign_efficiency/campaign_efficiency.py

Python

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

gen_flat_decoded_field_dicts

def gen_flat_decoded_field_dicts(self) -> Generator[Dict, None, None]: selected_decoding, decoded_val = self.safe_decode_as(self.preferred_decoding, self.try_unpack) field_desc_dict = { "tag": self._gen_tag_str(), "wireType": self._wire_type_str(), "decoding": self._decoding_str(selected_decoding), "name": self.name, } if isinstance(decoded_val, list): if ( selected_decoding == ProtoParser.DecodedTypes.message # field is a message with subfields and not self.is_packed_parent # field is a message, but replaced by packed fields ): # Field is a message, not packed, thus include it as message header field_desc_dict["val"] = "" yield field_desc_dict # add sub-fields of messages or packed fields for f in decoded_val: yield from f.gen_flat_decoded_field_dicts() else: field_desc_dict["val"] = decoded_val yield field_desc_dict

9d1e3107e851b3187c1270df189da74236e447f7

grpc.py

`pyupgrade --keep-runtime-typing --py38-plus`

mitmproxy

mitmproxy/contentviews/grpc.py

Python

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

test_change_view

def test_change_view(self): change_dict = { "title": "Ikke fordømt", "content": "<p>edited article</p>", "date_0": "2008-03-18", "date_1": "10:54:39", "section": self.s1.pk, } article_change_url = reverse( "admin:admin_views_article_change", args=(self.a1.pk,) ) article_changelist_url = reverse("admin:admin_views_article_changelist") # add user should not be able to view the list of article or change any of them self.client.force_login(self.adduser) response = self.client.get(article_changelist_url) self.assertEqual(response.status_code, 403) response = self.client.get(article_change_url) self.assertEqual(response.status_code, 403) post = self.client.post(article_change_url, change_dict) self.assertEqual(post.status_code, 403) self.client.get(reverse("admin:logout")) # view user can view articles but not make changes. self.client.force_login(self.viewuser) response = self.client.get(article_changelist_url) self.assertContains( response, "<title>Select article to view | Django site admin</title>", ) self.assertContains(response, "<h1>Select article to view</h1>") self.assertEqual(response.context["title"], "Select article to view") response = self.client.get(article_change_url) self.assertContains(response, "<title>View article | Django site admin</title>") self.assertContains(response, "<h1>View article</h1>") self.assertContains(response, "<label>Extra form field:</label>") self.assertContains( response, '<a href="/test_admin/admin/admin_views/article/" class="closelink">Close</a>', ) self.assertEqual(response.context["title"], "View article") post = self.client.post(article_change_url, change_dict) self.assertEqual(post.status_code, 403) self.assertEqual( Article.objects.get(pk=self.a1.pk).content, "<p>Middle content</p>" ) self.client.get(reverse("admin:logout")) # change user can view all items and edit them self.client.force_login(self.changeuser) response = self.client.get(article_changelist_url) self.assertEqual(response.context["title"], "Select article to change") self.assertContains( response, "<title>Select article to change | Django site admin</title>", ) self.assertContains(response, "<h1>Select article to change</h1>") response = self.client.get(article_change_url) self.assertEqual(response.context["title"], "Change article") self.assertContains( response, "<title>Change article | Django site admin</title>", ) self.assertContains(response, "<h1>Change article</h1>") post = self.client.post(article_change_url, change_dict) self.assertRedirects(post, article_changelist_url) self.assertEqual( Article.objects.get(pk=self.a1.pk).content, "<p>edited article</p>" ) # one error in form should produce singular error message, multiple errors plural change_dict["title"] = "" post = self.client.post(article_change_url, change_dict) self.assertContains( post, "Please correct the error below.", msg_prefix="Singular error message not found in response to post with one error", ) change_dict["content"] = "" post = self.client.post(article_change_url, change_dict) self.assertContains( post, "Please correct the errors below.", msg_prefix="Plural error message not found in response to post with multiple errors", ) self.client.get(reverse("admin:logout")) # Test redirection when using row-level change permissions. Refs #11513. r1 = RowLevelChangePermissionModel.objects.create(id=1, name="odd id") r2 = RowLevelChangePermissionModel.objects.create(id=2, name="even id") r3 = RowLevelChangePermissionModel.objects.create(id=3, name="odd id mult 3") r6 = RowLevelChangePermissionModel.objects.create(id=6, name="even id mult 3") change_url_1 = reverse( "admin:admin_views_rowlevelchangepermissionmodel_change", args=(r1.pk,) ) change_url_2 = reverse( "admin:admin_views_rowlevelchangepermissionmodel_change", args=(r2.pk,) ) change_url_3 = reverse( "admin:admin_views_rowlevelchangepermissionmodel_change", args=(r3.pk,) ) change_url_6 = reverse( "admin:admin_views_rowlevelchangepermissionmodel_change", args=(r6.pk,) ) logins = [ self.superuser, self.viewuser, self.adduser, self.changeuser, self.deleteuser, ] for login_user in logins: with self.subTest(login_user.username): self.client.force_login(login_user) response = self.client.get(change_url_1) self.assertEqual(response.status_code, 403) response = self.client.post(change_url_1, {"name": "changed"}) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=1).name, "odd id" ) self.assertEqual(response.status_code, 403) response = self.client.get(change_url_2) self.assertEqual(response.status_code, 200) response = self.client.post(change_url_2, {"name": "changed"}) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=2).name, "changed" ) self.assertRedirects(response, self.index_url) response = self.client.get(change_url_3) self.assertEqual(response.status_code, 200) response = self.client.post(change_url_3, {"name": "changed"}) self.assertEqual(response.status_code, 403) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=3).name, "odd id mult 3", ) response = self.client.get(change_url_6) self.assertEqual(response.status_code, 200) response = self.client.post(change_url_6, {"name": "changed"}) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=6).name, "changed" ) self.assertRedirects(response, self.index_url) self.client.get(reverse("admin:logout")) for login_user in [self.joepublicuser, self.nostaffuser]: with self.subTest(login_user.username): self.client.force_login(login_user) response = self.client.get(change_url_1, follow=True) self.assertContains(response, "login-form") response = self.client.post( change_url_1, {"name": "changed"}, follow=True ) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=1).name, "odd id" ) self.assertContains(response, "login-form") response = self.client.get(change_url_2, follow=True) self.assertContains(response, "login-form") response = self.client.post( change_url_2, {"name": "changed again"}, follow=True ) self.assertEqual( RowLevelChangePermissionModel.objects.get(id=2).name, "changed" ) self.assertContains(response, "login-form") self.client.get(reverse("admin:logout"))

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

Refs #33476 -- Reformatted code with Black.

django

tests/admin_views/tests.py

Python

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

nested_concat

def nested_concat(tensors, new_tensors, padding_index=-100): assert type(tensors) == type( new_tensors ), f"Expected `tensors` and `new_tensors` to have the same type but found {type(tensors)} and {type(new_tensors)}." if isinstance(tensors, (list, tuple)): return type(tensors)(nested_concat( t, n, padding_index=padding_index) for t, n in zip(tensors, new_tensors)) elif isinstance(tensors, paddle.Tensor): return paddle_pad_and_concatenate( tensors, new_tensors, padding_index=padding_index) elif isinstance(tensors, np.ndarray): return numpy_pad_and_concatenate( tensors, new_tensors, padding_index=padding_index) else: raise TypeError( f"Unsupported type for concatenation: got {type(tensors)}")

44a290e94d1becd1f09fddc3d873f9e19c9d6919

helper.py

[Trainer] Add init version of paddlenlp trainer and apply finetune for ernie-1.0 pretraining. (#1761) * add some datasets for finetune. * support fine tune for all tastks. * add trainer prototype. * init verison for paddlenlp trainer. * refine trainer. * update for some details. * support multi-cards training evaluation. * support load from ckpt. * support for export inference model. * first version of trainer. * seq cls support clue. * trainer support for token classification and question answersing tasks. * fix as reviews. Co-authored-by: Zeyu Chen <[email protected]>

PaddleNLP

paddlenlp/trainer/utils/helper.py

Python

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

test_light_none_color_value

async def test_light_none_color_value(hass, light_color_null_values, integration): entity_id = "light.repeater" state = hass.states.get(entity_id) assert state assert state.state == STATE_ON assert state.attributes[ATTR_SUPPORTED_FEATURES] == LightEntityFeature.TRANSITION assert state.attributes[ATTR_SUPPORTED_COLOR_MODES] == ["hs"]

fe0120b65a5e685b1aed06e8bd3cf10b561a710b

test_light.py

Use light enums in zwave_js (#70791)

core

tests/components/zwave_js/test_light.py

Python

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

contains_points

def contains_points(self, points, transform=None, radius=0.0): if transform is not None: transform = transform.frozen() result = _path.points_in_path(points, radius, self, transform) return result.astype('bool')

03a0b5ea238014ba87f74ef766928287726aa00a

path.py

Doc: Fix grammar and spelling

matplotlib

lib/matplotlib/path.py

Python

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

test_advanced_customization

def test_advanced_customization(scene): chart = BarChart(values=[10, 40, 10, 20], bar_names=["one", "two", "three", "four"]) c_x_lbls = chart.x_axis.labels c_x_lbls.set_color_by_gradient(GREEN, RED, YELLOW) c_y_nums = chart.y_axis.numbers c_y_nums.set_color_by_gradient(BLUE, WHITE).shift(LEFT) c_y_axis = chart.y_axis c_y_axis.ticks.set_color(YELLOW) c_bar_lbls = chart.get_bar_labels() scene.add(chart, c_bar_lbls) @frames_comparison

149479f9132daf2266c27caa7a3e11ce06be501d

@frames_comparison

test_probability.py

Refactored :class:`~.BarChart` and made it inherit from :class:`~.Axes`. (#2387) * rebase * fixed None bar_names * fixed scale issues * fixed to accept negative bar values * fixed some bugs * Added docs for parameters (DRAFT) * clean up parameters * more clean up * clean up __init__ * replace add_x_labels with built-in functionality * adjust default font_size for labels * Update docs descriptions * Add bar_width and adjust get_bar_labels * Add bar_width and adjust get_bar_labels * Add docs to class and methods * remove unecessary imports * remove getters * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Attempt to fix duplicated parameters section * adjust BarChart example to include title * switch order around * change_bar_values * back to get_bar_values * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * add docs for _update_default_config and fix method * remove print(dicts) * allow negative_numbers to work with bar chart * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * allow negative numbers to work with change_bar_values * add test_probability.py * add control data * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * change example * update examples again * rewrite test * rewrite other test * remove comma after list in example * improve wording in docs * add parameter/docs for label_constructor * change create_label_tex and update methods * update docs * use decimal number * switch default to Tex * update instances of create_label_tex in coordinate_systems.py * hardcode for add_labels * add TODO * use label_constructor * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * fix indentation in docs * Fix minor doc typo Co-authored-by: Led Me Explain <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

manim

tests/test_graphical_units/test_probability.py

Python

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

newer

def newer(source, target): if not os.path.exists(source): raise ValueError("file '%s' does not exist" % os.path.abspath(source)) if not os.path.exists(target): return 1 mtime1 = os.stat(source)[ST_MTIME] mtime2 = os.stat(target)[ST_MTIME] return mtime1 > mtime2

f2ccee6761ddcdde2c6502146ca1b37730d46d6d

_generate_pyx.py

MAINT: Remove `distutils` usage and add `newer`

scipy

scipy/linalg/_generate_pyx.py

Python

https://github.com/scipy/scipy.git

test_list_invalid_query_parameter

def test_list_invalid_query_parameter(self) -> None: channel = self.make_request( "GET", self.url + "?valid=x", {}, access_token=self.admin_user_tok, ) self.assertEqual(400, channel.code, msg=channel.json_body)

2281427175e4c93a30c39607fb4ac23c2a1f399f

test_registration_tokens.py

Use literals in place of `HTTPStatus` constants in tests (#13488) * Use literals in place of `HTTPStatus` constants in tests * newsfile * code style * code style

synapse

tests/rest/admin/test_registration_tokens.py

Python

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

test_get_parsed_simple_text_mail

def test_get_parsed_simple_text_mail(self): # Parse Test file and check relevant content parsed1 = self.parser.get_parsed( os.path.join(self.SAMPLE_FILES, "simple_text.eml"), ) self.assertEqual(parsed1.date.year, 2022) self.assertEqual(parsed1.date.month, 10) self.assertEqual(parsed1.date.day, 12) self.assertEqual(parsed1.date.hour, 21) self.assertEqual(parsed1.date.minute, 40) self.assertEqual(parsed1.date.second, 43) self.assertEqual(parsed1.date.tzname(), "UTC+02:00") self.assertEqual(parsed1.from_, "[email protected]") self.assertEqual(parsed1.subject, "Simple Text Mail") self.assertEqual(parsed1.text, "This is just a simple Text Mail.\n") self.assertEqual(parsed1.to, ("[email protected]",))

00f39d8b581c358f2484680275222f6ad909758c

test_parsers.py

add test comments

paperless-ngx

src/paperless_mail/tests/test_parsers.py

Python

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

from_pydict

def from_pydict(cls, *args, **kwargs): return cls(pa.Table.from_pydict(*args, **kwargs))

e35be138148333078284b942ccc9ed7b1d826f97

table.py

Update docs to new frontend/UI (#3690) * WIP: update docs to new UI * make style * Rm unused * inject_arrow_table_documentation __annotations__ * hasattr(arrow_table_method, "__annotations__") * Update task_template.rst * Codeblock PT-TF-SPLIT * Convert loading scripts * Convert docs to mdx * Fix mdx * Add <Tip> * Convert mdx tables * Fix codeblock * Rm unneded hashlinks * Update index.mdx * Redo dev change * Rm circle ci `build_doc` & `deploy_doc` * Rm unneeded files * Update docs reamde * Standardize to `Example::` * mdx logging levels doc * Table properties inject_arrow_table_documentation * ``` to ```py mdx * Add Tips mdx * important,None -> <Tip warning={true}> * More misc * Center imgs * Update instllation page * `setup.py` docs section * Rm imgs since they are in hf.co * Update docs/source/access.mdx Co-authored-by: Steven Liu <[email protected]> * Update index mdx * Update docs/source/access.mdx Co-authored-by: Steven Liu <[email protected]> * just `Dataset` obj * Addedversion just italics * Update ReadInstruction doc example syntax * Change docstring for `prepare_for_task` * Chore * Remove `code` syntax from headings * Rm `code` syntax from headings * Hashlink backward compatability * S3FileSystem doc * S3FileSystem doc updates * index.mdx updates * Add darkmode gifs * Index logo img css classes * Index mdx dataset logo img size * Docs for DownloadMode class * Doc DownloadMode table * format docstrings * style * Add doc builder scripts (#3790) * add doc builder scripts * fix docker image * Docs new UI actions no self hosted (#3793) * No self hosted * replace doc injection by actual docstrings * Docstring formatted Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Mishig Davaadorj <[email protected]> Co-authored-by: Lysandre Debut <[email protected]> Co-authored-by: Mishig Davaadorj <[email protected]> * Rm notebooks from docs actions since they dont exi * Update tsting branch * More docstring * Chore * bump up node version * bump up node * ``` -> ```py for audio_process.mdx * Update .github/workflows/build_documentation.yml Co-authored-by: Quentin Lhoest <[email protected]> * Uodate dev doc build * remove run on PR * fix action * Fix gh doc workflow * forgot this change when merging master * Update build doc Co-authored-by: Steven Liu <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Quentin Lhoest <[email protected]> Co-authored-by: Lysandre Debut <[email protected]>

datasets

src/datasets/table.py

Python

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

_check_deprecated_resample_kwargs

def _check_deprecated_resample_kwargs(kwargs, origin): # Deprecation warning of `base` and `loffset` since v1.1.0: # we are raising the warning here to be able to set the `stacklevel` # properly since we need to raise the `base` and `loffset` deprecation # warning from three different cases: # core/generic.py::NDFrame.resample # core/groupby/groupby.py::GroupBy.resample # core/groupby/grouper.py::Grouper # raising these warnings from TimeGrouper directly would fail the test: # tests/resample/test_deprecated.py::test_deprecating_on_loffset_and_base if kwargs.get("base", None) is not None: warnings.warn( "'base' in .resample() and in Grouper() is deprecated.\n" "The new arguments that you should use are 'offset' or 'origin'.\n" '\n>>> df.resample(freq="3s", base=2)\n' "\nbecomes:\n" '\n>>> df.resample(freq="3s", offset="2s")\n', FutureWarning, stacklevel=find_stack_level(inspect.currentframe()), ) if kwargs.get("loffset", None) is not None: warnings.warn( "'loffset' in .resample() and in Grouper() is deprecated.\n" '\n>>> df.resample(freq="3s", loffset="8H")\n' "\nbecomes:\n" "\n>>> from pandas.tseries.frequencies import to_offset" '\n>>> df = df.resample(freq="3s").mean()' '\n>>> df.index = df.index.to_timestamp() + to_offset("8H")\n', FutureWarning, stacklevel=find_stack_level(inspect.currentframe()), )

2f8d0a36703e81e4dca52ca9fe4f58c910c1b304

grouper.py

PERF cache find_stack_level (#48023) cache stacklevel

pandas

pandas/core/groupby/grouper.py

Python

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

is_platform_arm

def is_platform_arm() -> bool: return platform.machine() in ("arm64", "aarch64") or platform.machine().startswith( "armv" )

c7da9ea5b089ebd0a57a62309e63dff08d26b2c8

__init__.py

TST: Create is_ci_environment helper (#45812)

pandas

pandas/compat/__init__.py

Python

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

broadcast_shapes

def broadcast_shapes(*shapes): # NOTE: We have both cached and uncached versions to handle Tracers in shapes. try: return _broadcast_shapes_cached(*shapes) except: return _broadcast_shapes_uncached(*shapes) @cache()

78ed03c4c2970e5e0d11f14a8d4fc968a4efbca2

@cache()

lax.py

[typing] add annotations to jax.numpy.linalg

jax

jax/_src/lax/lax.py

Python

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

subscription_channel_updated_webhook

def subscription_channel_updated_webhook(subscription_webhook): return subscription_webhook( CHANNEL_UPDATED_SUBSCRIPTION_QUERY, WebhookEventAsyncType.CHANNEL_UPDATED ) CHANNEL_DELETED_SUBSCRIPTION_QUERY = @pytest.fixture

e5d78c63edd2620e67671e713ef594e924b0e1c9

@pytest.fixture

fixtures.py

New events for changes related to channels (#9570) * Channel webhooks events added * use isActive instead od channel status property * correct CHOICES value for channel_created event

saleor

saleor/plugins/webhook/tests/subscription_webhooks/fixtures.py

Python

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

mixin_worker_runtime_parser

def mixin_worker_runtime_parser(parser): gp = add_arg_group(parser, title='WorkerRuntime') from jina import __default_executor__ gp.add_argument( '--uses', type=str, default=__default_executor__, help=, ) gp.add_argument( '--uses-with', action=KVAppendAction, metavar='KEY: VALUE', nargs='*', help=, ) gp.add_argument( '--uses-metas', action=KVAppendAction, metavar='KEY: VALUE', nargs='*', help=, ) gp.add_argument( '--uses-requests', action=KVAppendAction, metavar='KEY: VALUE', nargs='*', help=, ) gp.add_argument( '--py-modules', type=str, nargs='*', metavar='PATH', help=, ) gp.add_argument( '--port-in', type=int, default=helper.random_port(), dest='port', help='The port for input data to bind to, default a random port between [49152, 65535]', ) gp.add_argument( '--host-in', type=str, default=__default_host__, help=f'The host address for binding to, by default it is {__default_host__}', ) gp.add_argument( '--native', action='store_true', default=False, help='If set, only native Executors is allowed, and the Executor is always run inside WorkerRuntime.', ) gp.add_argument( '--output-array-type', type=str, default=None, help=, )

ceb51082b4ec6f31811945ffc67b734acbbebac2

worker.py

feat: convert embedding/tensor array type at executor level (#4484)

jina

jina/parsers/orchestrate/runtimes/worker.py

Python

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

_sparsemax_threshold_and_support

def _sparsemax_threshold_and_support(X, dim=-1, k=None): if k is None or k >= X.shape[dim]: # do full sort topk, _ = torch.sort(X, dim=dim, descending=True) else: topk, _ = torch.topk(X, k=k, dim=dim) topk_cumsum = topk.cumsum(dim) - 1 rhos = _make_ix_like(topk, dim) support = rhos * topk > topk_cumsum support_size = support.sum(dim=dim).unsqueeze(dim) tau = topk_cumsum.gather(dim, support_size - 1) tau /= support_size.to(X.dtype) if k is not None and k < X.shape[dim]: unsolved = (support_size == k).squeeze(dim) if torch.any(unsolved): in_ = _roll_last(X, dim)[unsolved] tau_, ss_ = _sparsemax_threshold_and_support(in_, dim=-1, k=2 * k) _roll_last(tau, dim)[unsolved] = tau_ _roll_last(support_size, dim)[unsolved] = ss_ return tau, support_size

20a8a6fdb516e543d4598c852063ba0fb407f3ba

activations.py

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

ludwig

ludwig/utils/entmax/activations.py

Python

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

bulk_update

def bulk_update(self, objs, fields, batch_size=None): if batch_size is not None and batch_size < 0: raise ValueError('Batch size must be a positive integer.') if not fields: raise ValueError('Field names must be given to bulk_update().') objs = tuple(objs) if any(obj.pk is None for obj in objs): raise ValueError('All bulk_update() objects must have a primary key set.') fields = [self.model._meta.get_field(name) for name in fields] if any(not f.concrete or f.many_to_many for f in fields): raise ValueError('bulk_update() can only be used with concrete fields.') if any(f.primary_key for f in fields): raise ValueError('bulk_update() cannot be used with primary key fields.') if not objs: return 0 for obj in objs: obj._prepare_related_fields_for_save(operation_name='bulk_update', fields=fields) # PK is used twice in the resulting update query, once in the filter # and once in the WHEN. Each field will also have one CAST. connection = connections[self.db] max_batch_size = connection.ops.bulk_batch_size(['pk', 'pk'] + fields, objs) batch_size = min(batch_size, max_batch_size) if batch_size else max_batch_size requires_casting = connection.features.requires_casted_case_in_updates batches = (objs[i:i + batch_size] for i in range(0, len(objs), batch_size)) updates = [] for batch_objs in batches: update_kwargs = {} for field in fields: when_statements = [] for obj in batch_objs: attr = getattr(obj, field.attname) if not hasattr(attr, 'resolve_expression'): attr = Value(attr, output_field=field) when_statements.append(When(pk=obj.pk, then=attr)) case_statement = Case(*when_statements, output_field=field) if requires_casting: case_statement = Cast(case_statement, output_field=field) update_kwargs[field.attname] = case_statement updates.append(([obj.pk for obj in batch_objs], update_kwargs)) rows_updated = 0 with transaction.atomic(using=self.db, savepoint=False): for pks, update_kwargs in updates: rows_updated += self.filter(pk__in=pks).update(**update_kwargs) return rows_updated bulk_update.alters_data = True

0af9a5fc7d765aa05ea784e2c3237675f3bb4b49

query.py

Fixed #33463 -- Fixed QuerySet.bulk_update() with F() expressions.

django

django/db/models/query.py

Python

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

call_hm

def call_hm(self, other_args): parser = argparse.ArgumentParser( prog="hm", add_help=False, formatter_class=argparse.ArgumentDefaultsHelpFormatter, description=, ) parser.add_argument( "-l", "--limit", dest="limit", type=int, help="Display N items", default=10, ) parser.add_argument( "-c", "--category", default="", dest="category", help="Category (e.g., stablecoins). Empty for no category", ) if other_args and not other_args[0][0] == "-": other_args.insert(0, "-c") ns_parser = parse_known_args_and_warn( parser, other_args, EXPORT_ONLY_FIGURES_ALLOWED ) if ns_parser: pycoingecko_view.display_crypto_heatmap( category=ns_parser.category, top=ns_parser.limit, export=ns_parser.export, )

a5848af9088466ae711ce403c9f344b964d581b8

overview_controller.py

Crypto heatmaps (#1416) * added hm feature * updated requirements * updated tests * updated tests * updated charts convention and removed duplicated autocompletion * added percentage * lint Co-authored-by: jmaslek <[email protected]>

OpenBBTerminal

gamestonk_terminal/cryptocurrency/overview/overview_controller.py

Python

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

parsedate_tz

def parsedate_tz(data): res = _parsedate_tz(data) if not res: return if res[9] is None: res[9] = 0 return tuple(res)

8198943edd73a363c266633e1aa5b2a9e9c9f526

_parseaddr.py

add python 3.10.4 for windows

XX-Net

python3.10.4/Lib/email/_parseaddr.py

Python

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

get_type

def get_type(self) -> str: # values of the dict are functions evaluating whether components of this pipeline match the pipeline type # specified by dict keys pipeline_types = { "GenerativeQAPipeline": lambda x: {"Generator", "Retriever"} <= set(x.keys()), "FAQPipeline": lambda x: {"Docs2Answers"} <= set(x.keys()), "ExtractiveQAPipeline": lambda x: {"Reader", "Retriever"} <= set(x.keys()), "SearchSummarizationPipeline": lambda x: {"Retriever", "Summarizer"} <= set(x.keys()), "TranslationWrapperPipeline": lambda x: {"InputTranslator", "OutputTranslator"} <= set(x.keys()), "RetrieverQuestionGenerationPipeline": lambda x: {"Retriever", "QuestionGenerator"} <= set(x.keys()), "QuestionAnswerGenerationPipeline": lambda x: {"QuestionGenerator", "Reader"} <= set(x.keys()), "DocumentSearchPipeline": lambda x: {"Retriever"} <= set(x.keys()), "QuestionGenerationPipeline": lambda x: {"QuestionGenerator"} <= set(x.keys()), "MostSimilarDocumentsPipeline": lambda x: len(x.values()) == 1 and isinstance(list(x.values())[0], BaseDocumentStore), } retrievers = [type(comp).__name__ for comp in self.components.values() if isinstance(comp, BaseRetriever)] doc_stores = [type(comp).__name__ for comp in self.components.values() if isinstance(comp, BaseDocumentStore)] pipeline_type = next( (p_type for p_type, eval_f in pipeline_types.items() if eval_f(self.components)), "Unknown pipeline" ) retrievers_used = retrievers if retrievers else "None" doc_stores_used = doc_stores if doc_stores else "None" return f"{pipeline_type} (retriever: {retrievers_used}, doc_store: {doc_stores_used})"

938e6fda5b686ec49c52cb23f786a74d9321e048

base.py

Classify pipeline's type based on its components (#3132) * Add pipeline get_type mehod * Add pipeline uptime * Add pipeline telemetry event sending * Send pipeline telemetry once a day (at most) * Add pipeline invocation counter, change invocation counter logic * Update allowed telemetry parameters - allow pipeline parameters * PR review: add unit test

haystack

haystack/pipelines/base.py

Python

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

record_states

def record_states(hass): mp = "media_player.test" mp2 = "media_player.test2" mp3 = "media_player.test3" therm = "thermostat.test" therm2 = "thermostat.test2" zone = "zone.home" script_c = "script.can_cancel_this_one"

29bda196b5e0a90a2bea7e1797742236114afc1c

test_init.py

Break apart recorder into tasks and core modules (#71222)

core

tests/components/history/test_init.py

Python

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

labels_to_dataset

def labels_to_dataset(labels, label_mode, num_classes): label_ds = tf.data.Dataset.from_tensor_slices(labels) if label_mode == 'binary': label_ds = label_ds.map( lambda x: tf.expand_dims(tf.cast(x, 'float32'), axis=-1), num_parallel_calls=tf.data.AUTOTUNE) elif label_mode == 'categorical': label_ds = label_ds.map(lambda x: tf.one_hot(x, num_classes), num_parallel_calls=tf.data.AUTOTUNE) return label_ds

3073e00912838454359079a35f1638ccf06e855f

dataset_utils.py

Fix the issue in the other two places it occurs

keras

keras/preprocessing/dataset_utils.py

Python

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

test_change_view_without_object_change_permission

def test_change_view_without_object_change_permission(self): change_url = reverse("admin9:admin_views_article_change", args=(self.a1.pk,)) self.client.force_login(self.viewuser) response = self.client.get(change_url) self.assertEqual(response.context["title"], "View article") self.assertContains(response, "<title>View article | Django site admin</title>") self.assertContains(response, "<h1>View article</h1>") self.assertContains( response, '<a href="/test_admin/admin9/admin_views/article/" class="closelink">Close</a>', )

9c19aff7c7561e3a82978a272ecdaad40dda5c00

tests.py

Refs #33476 -- Reformatted code with Black.

django

tests/admin_views/tests.py

Python

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

get_party_type

def get_party_type(doctype, txt, searchfield, start, page_len, filters): cond = "" if filters and filters.get("account"): account_type = frappe.db.get_value("Account", filters.get("account"), "account_type") cond = "and account_type = '%s'" % account_type return frappe.db.sql( .format( key=searchfield, cond=cond ), {"txt": "%" + txt + "%", "start": start, "page_len": page_len}, )

494bd9ef78313436f0424b918f200dab8fc7c20b

party_type.py

style: format code with black

erpnext

erpnext/setup/doctype/party_type/party_type.py

Python

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

get_collection_path_regexes

def get_collection_path_regexes() -> t.Tuple[t.Optional[t.Pattern], t.Optional[t.Pattern]]: if data_context().content.collection: collection_search_re = re.compile(r'/%s/' % data_context().content.collection.directory) collection_sub_re = re.compile(r'^.*?/%s/' % data_context().content.collection.directory) else: collection_search_re = None collection_sub_re = None return collection_search_re, collection_sub_re

3eb0485dd92c88cc92152d3656d94492db44b183

__init__.py

ansible-test - Use more native type hints. (#78435) * ansible-test - Use more native type hints. Simple search and replace to switch from comments to native type hints for return types of functions with no arguments. * ansible-test - Use more native type hints. Conversion of simple single-line function annotation type comments to native type hints. * ansible-test - Use more native type hints. Conversion of single-line function annotation type comments with default values to native type hints. * ansible-test - Use more native type hints. Manual conversion of type annotation comments for functions which have pylint directives.

ansible

test/lib/ansible_test/_internal/commands/coverage/__init__.py

Python

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

available

def available(self) -> bool: return ( self.poe_mode is not None and self.controller.available and self.client.switch_port and self.client.switch_mac and self.client.switch_mac in self.controller.api.devices )

3798d28bec6dc257da8387a6751949d47fb29a29

switch.py

Improve entity type hints [u] (#77884)

core

homeassistant/components/unifi/switch.py

Python

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

async_shutdown

async def async_shutdown(self): if self.task: self.task.cancel() await asyncio.wait((self.task,)) self._unschedule_refresh() await self.connection.stop()

551fb449752e1c3f55eb688d24509876020852d1

__init__.py

Stop coordinator before connection in nibe_heatpump (#80396) Stop coordinator in nibe_heatpump

core

homeassistant/components/nibe_heatpump/__init__.py

Python

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

autorun_get_interactive_session

def autorun_get_interactive_session(cmds, **kargs): # type: (str, **Any) -> Tuple[str, Any] sstdout, sstderr, sexcepthook = sys.stdout, sys.stderr, sys.excepthook sw = StringWriter() h_old = log_scapy.handlers[0] log_scapy.removeHandler(h_old) log_scapy.addHandler(logging.StreamHandler(stream=sw)) try: try: sys.stdout = sys.stderr = sw sys.excepthook = sys.__excepthook__ # type: ignore res = autorun_commands_timeout(cmds, **kargs) except StopAutorun as e: e.code_run = sw.s raise finally: sys.stdout, sys.stderr, sys.excepthook = sstdout, sstderr, sexcepthook log_scapy.removeHandler(log_scapy.handlers[0]) log_scapy.addHandler(h_old) return sw.s, res

b754f97d346e2db6e4a9e9cc6ff88010f502db89

autorun.py

Update Mypy version

scapy

scapy/autorun.py

Python

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

generate_gexf

def generate_gexf(G, encoding="utf-8", prettyprint=True, version="1.2draft"): writer = GEXFWriter(encoding=encoding, prettyprint=prettyprint, version=version) writer.add_graph(G) yield from str(writer).splitlines() @open_file(0, mode="rb")

54e36acb36c75e09bc53dfcb81c73386b82a20c9

@open_file(0, mode="rb")

gexf.py

Update gexf website link in documentation (#5275) Hi, we've recently put the GEXF website again into its own domain http://gexf.net/ so this documentation should be updated. Thanks!

networkx

networkx/readwrite/gexf.py

Python

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

_can_use_libjoin

def _can_use_libjoin(self) -> bool: if type(self) is Index: # excludes EAs return isinstance(self.dtype, np.dtype) return not is_interval_dtype(self.dtype) # -------------------------------------------------------------------- # Uncategorized Methods

4248b23371a70b339a2c16b8e5caca9c2e5897f8

base.py

ENH: ExtensionEngine (#45514)

pandas

pandas/core/indexes/base.py

Python

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

remount

def remount(name, device, mkmnt=False, fstype="", opts="defaults", user=None): force_mount = False if __grains__["os"] in ["MacOS", "Darwin"]: if opts == "defaults": opts = "noowners" if fstype == "smbfs": force_mount = True if "AIX" in __grains__["os"]: if opts == "defaults": opts = [] if isinstance(opts, str): opts = opts.split(",") mnts = active() if name in mnts: # The mount point is mounted, attempt to remount it with the given data if "remount" not in opts and __grains__["os"] not in [ "OpenBSD", "MacOS", "Darwin", ]: opts.append("remount") if force_mount: # We need to force the mount but first we should unmount umount(name, device, user=user) args = "" if opts: lopts = ",".join(opts) args = "-o {}".format(lopts) if fstype: # use of fstype on AIX differs from typical Linux use of # -t functionality AIX uses -v vfsname, -t fstype mounts # all with fstype in /etc/filesystems if "AIX" in __grains__["os"]: args += " -v {}".format(fstype) elif "solaris" in __grains__["os"].lower(): args += " -F {}".format(fstype) else: args += " -t {}".format(fstype) if __grains__["os"] not in ["OpenBSD", "MacOS", "Darwin"] or force_mount: cmd = "mount {} {} {} ".format(args, device, name) else: cmd = "mount -u {} {} {} ".format(args, device, name) out = __salt__["cmd.run_all"](cmd, runas=user, python_shell=False) if out["retcode"]: return out["stderr"] return True # Mount a filesystem that isn't already return mount(name, device, mkmnt, fstype, opts, user=user)

9354c15e0818715d055242d14b1308643a6918d7

mount.py

Convert Py 2'isms to Python 3, and add tests for set_filesystems on AIX

salt

salt/modules/mount.py

Python

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

close

async def close(self): if not self._is_closed: await asyncio.gather(*[q.close() for q in self._all_batch_queues()]) self._executor.close() self._is_closed = True

46d7973043e2e599149812cc6fc7671b935c13f8

request_handling.py

feat: dynamic batching (#5410) Co-authored-by: Johannes Messner <[email protected]> Co-authored-by: Alaeddine Abdessalem <[email protected]>

jina

jina/serve/runtimes/worker/request_handling.py

Python

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

filter_symbols

def filter_symbols(iterator, exclude): exclude = set(exclude) for s in iterator: if s not in exclude: yield s

f3b08522003f40868afb20304fc0fa5b16d13f6a

iterables.py

Cleanup documentation

sympy

sympy/utilities/iterables.py

Python

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

edit_focus_options

def edit_focus_options(self) -> typing.Sequence[str]: flow = self.master.view.focus.flow focus_options = [] if isinstance(flow, tcp.TCPFlow): focus_options = ["tcp-message"] elif isinstance(flow, http.HTTPFlow): focus_options = [ "cookies", "urlencoded form", "multipart form", "path", "method", "query", "reason", "request-headers", "response-headers", "request-body", "response-body", "status_code", "set-cookies", "url", ] elif isinstance(flow, dns.DNSFlow): raise exceptions.CommandError("Cannot edit DNS flows yet, please submit a patch.") return focus_options

fab7016b318d7c37fc30cef9c0567b9b620b883e

consoleaddons.py

beautify flowtable dns entries this isn't perfect (the whole table needs to be refactored properly), but good enough for now.

mitmproxy

mitmproxy/tools/console/consoleaddons.py

Python

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

_check_status

def _check_status(self) -> bool: job_status = self._job["async_status"] percent = self._job["async_percent_completion"] logger.info(f"{self}: is {percent} complete ({job_status})") if self.elapsed_time > self.job_timeout: logger.info(f"{self}: run more than maximum allowed time {self.job_timeout}.") self._finish_time = pendulum.now() self._failed = True return True elif job_status == Status.COMPLETED: self._finish_time = pendulum.now() # TODO: is not actual running time, but interval between check_status calls return True elif job_status in [Status.FAILED, Status.SKIPPED]: self._finish_time = pendulum.now() self._failed = True logger.info(f"{self}: has status {job_status} after {self.elapsed_time.in_seconds()} seconds.") return True return False

a3aae8017a0a40ff2006e2567f71dccb04c997a5

async_job.py

🎉 🎉 Source FB Marketing: performance and reliability fixes (#9805) * Facebook Marketing performance improvement * add comments and little refactoring * fix integration tests with the new config * improve job status handling, limit concurrency to 10 * fix campaign jobs, refactor manager * big refactoring of async jobs, support random order of slices * update source _read_incremental to hook new state logic * fix issues with timeout * remove debugging and clean up, improve retry logic * merge changes from #8234 * fix call super _read_increment * generalize batch execution, add use_batch flag * improve coverage, do some refactoring of spec * update test, remove overrides of source * add split by AdSet * add smaller insights * fix end_date < start_date case * add account_id to PK * add notes * fix new streams * fix reversed incremental stream * update spec.json for SAT * upgrade CDK and bump version Co-authored-by: Dmytro Rezchykov <[email protected]> Co-authored-by: Eugene Kulak <[email protected]>

airbyte

airbyte-integrations/connectors/source-facebook-marketing/source_facebook_marketing/streams/async_job.py

Python

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

_reset_layer_losses

def _reset_layer_losses(parent_layer): losses_dict = {} for layer in utils.list_all_layers_and_sublayers(parent_layer): losses_dict[layer] = { 'losses': layer._losses[:], 'eager_losses': layer._eager_losses[:] } with utils.no_automatic_dependency_tracking_scope(layer): layer._losses = [] layer._eager_losses = [] return losses_dict

e61cbc52fd3b0170769c120e9b8dabc8c4205322

save_impl.py

Support Keras saving/loading for ShardedVariables with arbitrary partitions. PiperOrigin-RevId: 439837516

keras

keras/saving/saved_model/save_impl.py

Python

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

list

def list(self, verbose=True): self._check() for tarinfo in self: if verbose: print(filemode(tarinfo.mode), end=' ') print("%s/%s" % (tarinfo.uname or tarinfo.uid, tarinfo.gname or tarinfo.gid), end=' ') if tarinfo.ischr() or tarinfo.isblk(): print("%10s" % ("%d,%d" \ % (tarinfo.devmajor, tarinfo.devminor)), end=' ') else: print("%10d" % tarinfo.size, end=' ') print("%d-%02d-%02d %02d:%02d:%02d" \ % time.localtime(tarinfo.mtime)[:6], end=' ') print(tarinfo.name + ("/" if tarinfo.isdir() else ""), end=' ') if verbose: if tarinfo.issym(): print("->", tarinfo.linkname, end=' ') if tarinfo.islnk(): print("link to", tarinfo.linkname, end=' ') print()

c69d55f7c82d5ae2cce542bcfb98d043ca4836a0

tarfile.py

Vendor in pip 22.1.2

pipenv

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

Python

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

_find_all_or_none

def _find_all_or_none(qt_library_info, mandatory_dll_patterns, optional_dll_patterns=None): optional_dll_patterns = optional_dll_patterns or [] # Resolve path to the the corresponding python package (actually, its parent directory). Used to preserve directory # structure when DLLs are collected from the python package (e.g., PyPI wheels). package_parent_path = pathlib.Path(qt_library_info.package_location).resolve().parent # In PyQt5/PyQt6, the DLLs we are looking for are located in location['BinariesPath'], whereas in PySide2/PySide6, # they are located in location['PrefixPath']. dll_path = qt_library_info.location['BinariesPath' if qt_library_info.is_pyqt else 'PrefixPath'] dll_path = pathlib.Path(dll_path).resolve() # Helper for processing single DLL pattern

49abfa5498b1db83b8f1b2e859e461b1e8540c6f

qt.py

hookutils: qt: ensure ANGLE DLLs are collected from Anaconda Qt5 Anaconda's Qt5 ships ANGLE DLLs (`libEGL.dll` and `libGLESv2.dll`) but does not seem to provide the `d3dcompiler_XY.dll`. Therefore, we need to adjust the extra Qt DLL collection to consider the latter an optional dependency whose absence does not preclude the collection of the ANGLE DLL group. Rework the `get_qt_binaries` hook utility function and its `_find_all_or_none` helper to peform collection based on a list of mandatory and a list of optional patterns, instead of a single list and number of expected matches (since up until now, all matches were always expected to be found).

pyinstaller

PyInstaller/utils/hooks/qt.py

Python

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

test_double_stamping

def test_double_stamping(self, subtests): self.app.conf.task_always_eager = True self.app.conf.task_store_eager_result = True self.app.conf.result_extended = True sig_1 = self.add.s(2, 2) sig_1.stamp(stamp1="stamp1") sig_1.stamp(stamp2="stamp2") sig_1_res = sig_1.freeze() sig_1.apply() with subtests.test("sig_1_res is stamped with stamp1", stamp1=["stamp1"]): assert sig_1_res._get_task_meta()["stamp1"] == ["stamp1"] with subtests.test("sig_1_res is stamped with stamp2", stamp2=["stamp2"]): assert sig_1_res._get_task_meta()["stamp2"] == ["stamp2"] with subtests.test("sig_1_res is stamped twice", stamped_headers=["stamp2", "stamp1"]): assert sig_1_res._get_task_meta()["stamped_headers"] == ["stamp2", "stamp1", "groups"]

1c4ff33bd22cf94e297bd6449a06b5a30c2c1fbc

test_canvas.py

Canvas Header Stamping (#7384) * Strip down the header-stamping PR to the basics. * Serialize groups. * Add groups to result backend meta data. * Fix spelling mistake. * Revert changes to canvas.py * Revert changes to app/base.py * Add stamping implementation to canvas.py * Send task to AMQP with groups. * Successfully pass single group to result. * _freeze_gid dict merge fixed * First draft of the visitor API. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * OptionsVisitor created * Fixed canvas.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added test for simple test for chord and fixed chord implementation * Changed _IMMUTABLE_OPTIONS * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed list order * Fixed tests (stamp test and chord test), fixed order in groups * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed lint and elements * Changed implementation of stamp API and fix lint * Added documentation to Stamping API. Added chord with groups test * Implemented stamping inside replace and added test for an implementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Splitted into subtests * Group stamping rollback * group.id is None fixed * Added integration test * Added integration test * apply_async fixed * Integration test and test_chord fixed * Lint fixed * chord freeze fixed * Minor fixes. * Chain apply_async fixed and tests fixed * lint fixed * Added integration test for chord * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * type -> isinstance * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Redo header stamping (#7341) * _freeze_gid dict merge fixed * OptionsVisitor created * Fixed canvas.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added test for simple test for chord and fixed chord implementation * Changed _IMMUTABLE_OPTIONS * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed list order * Fixed tests (stamp test and chord test), fixed order in groups * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fixed lint and elements * Changed implementation of stamp API and fix lint * Added documentation to Stamping API. Added chord with groups test * Implemented stamping inside replace and added test for an implementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Splitted into subtests * Group stamping rollback * group.id is None fixed * Added integration test * Added integration test * apply_async fixed * Integration test and test_chord fixed * Lint fixed * chord freeze fixed * Minor fixes. * Chain apply_async fixed and tests fixed * lint fixed * Added integration test for chord * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * type -> isinstance * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Omer Katz <[email protected]> * Added stamping mechanism * Manual stamping improved * flake8 fixed * Added subtests * Add comma. * Moved groups to stamps * Fixed chord and added test for that * Strip down the header-stamping PR to the basics. * Serialize groups. * Add groups to result backend meta data. * Fix spelling mistake. * Revert changes to canvas.py * Revert changes to app/base.py * Add stamping implementation to canvas.py * Send task to AMQP with groups. * Successfully pass single group to result. * _freeze_gid dict merge fixed * First draft of the visitor API. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * OptionsVisitor created * Fixed canvas.py * Added test for simple test for chord and fixed chord implementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Changed _IMMUTABLE_OPTIONS * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed chord interface * Fixed list order * Fixed tests (stamp test and chord test), fixed order in groups * Fixed lint and elements * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Changed implementation of stamp API and fix lint * Added documentation to Stamping API. Added chord with groups test * Implemented stamping inside replace and added test for an implementation * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Added test additonal tests for chord, improved coverage * Splitted into subtests * Group stamping rollback * group.id is None fixed * Added integration test * Added integration test * apply_async fixed * Integration test and test_chord fixed * Lint fixed * chord freeze fixed * Minor fixes. * Chain apply_async fixed and tests fixed * lint fixed * Added integration test for chord * type -> isinstance * Added stamping mechanism * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Manual stamping improved * fail_ci_if_error uncommented * flake8 fixed * Added subtests * Changes * Add comma. * Fixed chord and added test for that * canvas.py fixed * Test chord.py fixed * Fixed stamped_headers * collections import fixed * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * collections import fixed * Update celery/backends/base.py Co-authored-by: Omer Katz <[email protected]> * ampq.py fixed * Refrain from using deprecated import path. * Fix test_complex_chain regression. Whenever we stamp a group we need to freeze it first if it wasn't already frozen. Somewhere along the line, the group id changed because we were freezing twice. This commit places the stamping operation after preparing the chain's steps which fixes the problem somehow. We don't know why yet. * Fixed integration tests * Fixed integration tests * Fixed integration tests * Fixed integration tests * Fixed issues with maybe_list. Add documentation * Fixed potential issue with integration tests * Fixed issues with _regen * Fixed issues with _regen * Fixed test_generator issues * Fixed _regen stamping * Fixed _regen stamping * Fixed TimeOut issue * Fixed TimeOut issue * Fixed TimeOut issue * Update docs/userguide/canvas.rst Co-authored-by: Omer Katz <[email protected]> * Fixed Couchbase * Better stamping intro * New GroupVisitor example * Adjust documentation. Co-authored-by: Naomi Elstein <[email protected]> Co-authored-by: Omer Katz <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Asif Saif Uddin <[email protected]> Co-authored-by: Omer Katz <[email protected]>

celery

t/unit/tasks/test_canvas.py

Python

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

arraylist_to_blobprotovector_str

def arraylist_to_blobprotovector_str(arraylist): vec = caffe_pb2.BlobProtoVector() vec.blobs.extend([array_to_blobproto(arr) for arr in arraylist]) return vec.SerializeToString()

cc4d0564756ca067516f71718a3d135996525909

io.py

Balanced joint maximum mean discrepancy for deep transfer learning

transferlearning

code/deep/BJMMD/caffe/python/caffe/io.py

Python

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

cleanup

def cleanup(self): cleanup_filename = set(self._uid2filename.values()) if Path(self._cache_folder / SETTING_FILENAME).exists(): with Path(self._cache_folder / SETTING_FILENAME).open(mode='r') as f: uid2filename: Dict[str, str] = json_tricks.load(f) cleanup_filename = cleanup_filename.difference(uid2filename.values()) for filename in cleanup_filename: filepath = self._data_folder / filename if filepath.exists(): os.remove(str(filepath))

9c19236902c2c66238c75f149cf9cefa411494c9

storage.py

[Compression] update distillation utils (#5215)

nni

nni/contrib/distillation/storage.py

Python

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

column_names

def column_names(self) -> Dict[str, List[str]]: self._check_values_type() return {k: dataset.column_names for k, dataset in self.items()}

1904d0c0a3a96330d9b870cdca3e9a3a137f2977

dataset_dict.py

Add code examples for DatasetDict (#4245) * 📝 add code examples for DatasetDict * 🖍 apply quentin review

datasets

src/datasets/dataset_dict.py

Python

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

test_merge_asof_on_variations

def test_merge_asof_on_variations(): left = {"a": [1, 5, 10], "left_val": ["a", "b", "c"]} left_index = [6, 8, 12] right = {"a": [1, 2, 3, 6, 7], "right_val": ["d", "e", "f", "g", "h"]} right_index = [6, 7, 8, 9, 15] pandas_left, pandas_right = ( pandas.DataFrame(left, index=left_index), pandas.DataFrame(right, index=right_index), ) modin_left, modin_right = ( pd.DataFrame(left, index=left_index), pd.DataFrame(right, index=right_index), ) for on_arguments in [ {"on": "a"}, {"left_on": "a", "right_on": "a"}, {"left_on": "a", "right_index": True}, {"left_index": True, "right_on": "a"}, {"left_index": True, "right_index": True}, ]: pandas_merged = pandas.merge_asof(pandas_left, pandas_right, **on_arguments) with warns_that_defaulting_to_pandas(): modin_merged = pd.merge_asof(modin_left, modin_right, **on_arguments) df_equals(pandas_merged, modin_merged)

be2716f393fddd2f669f26616f80e051fc7ceee6

test_general.py

TEST-#3655: Check that Modin is defaulting to Pandas. (#3656) Co-authored-by: Dmitry Chigarev <[email protected]> Co-authored-by: Devin Petersohn <[email protected]> Signed-off-by: mvashishtha <[email protected]>

modin

modin/pandas/test/test_general.py

Python

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

train_and_predict_model

def train_and_predict_model(input_features, output_features, data_csv, output_directory): config = { "input_features": input_features, "output_features": output_features, "combiner": {"type": "concat", "fc_size": 14}, "training": {"epochs": 2}, } model = LudwigModel(config, backend=LocalTestBackend()) model.train( dataset=data_csv, skip_save_processed_input=True, skip_save_progress=True, skip_save_unprocessed_output=True, output_directory=output_directory, ) model.predict(dataset=data_csv, output_directory=output_directory) return model

4fb8f63181f5153b4f6778c6ef8dad61022c4f3f

test_server.py

Use tempfile to automatically garbage collect data and modeling artifacts in ludwig integration tests. (#1642) * Use tmpdir to automatically garbage collect data and modeling artifacts in ludwig integration tests.

ludwig

tests/integration_tests/test_server.py

Python

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

calc_second_derivative

def calc_second_derivative(self, x): if x < self.x[0]: return None elif x > self.x[-1]: return None i = self.__search_index(x) dx = x - self.x[i] ddy = 2.0 * self.c[i] + 6.0 * self.d[i] * dx return ddy