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python
'id': '471591', 'ext': 'mp4', 'title': 'md5:e8fbb8de57011a3255db0beca69af73d', 'creator': 'Giuseppe Di Leo', 'location': 'Napoli', 'timestamp': 1460044800.0, 'upload_date': '20160407', 'description': 'md5:5e15a789a2fe4d67da8d1366996e89e...
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[ { "issue": "```suggestion\r\n formats, subtitles = self._extract_m3u8_formats_and_subtitles(\r\n video_info['playlist'][0]['sources'][0]['src'], video_id)\r\n```", "severity": "major", "line": 26 } ]
1
python
return # Best effort to wipe NVME os.system(f"sudo umount {NVME}") os.system(f"yes | sudo mkfs.ext4 {NVME}") # Removing data and formatting rm = os.system("sudo rm -rf /data/*") os.system(f"sudo umount {USERDATA}") fmt = os.system(f"yes | sudo mkfs.ext4 {USERDATA}") if rm == 0 or fmt ...
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[ { "issue": "it should just continue (exit 0), not power off", "severity": "minor", "line": 26 } ]
1
python
import logging import contextlib from typing import List, Tuple, Iterator import ghidra import capa.features.extractors.ghidra.global_ from capa.features.common import Feature from capa.features.address import Address, AbsoluteVirtualAddress from capa.features.extractors.base_extractor import FeatureExtractor curren...
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0
python
# re-enable previous widget and show event to allow it to update state if needed (e.g. refresh after settings change) prev_widget = self._nav_stack.widgets[-2] print('Re-enabling and show_event for', prev_widget.__class__.__name__) # prev_widget.show_event() prev_widget.set_enabled(True) print('Pop...
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[ { "issue": "The block that returns the active widget appears to be accidentally indented inside `pop_widget` (likely leftover from a commented-out `get_active_widget` method). As written, `pop_widget` will return the current top widget/None after popping, and the intended `get_active_widget` API doesn't exist. ...
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python
coinbase.deserialize(coinbase_data) assert_equal(coinbase.vin[0].prevout.hash, 0) self.log.debug("Wait for a new template") waitoptions = self.capnp_modules['mining'].BlockWaitOptions() waitoptions.timeout = timeout waitoptions.feeThreshold...
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[ { "issue": "In https://github.com/bitcoin/bitcoin/commit/fac12f7cf9ebc0b906bbb20ae126cf7e7552fdbb _test: fix interface_ipc.py template destruction_: similar to my comment above, this only shows that `waitNext()` returns immediately if fees have gone up before the call, but the original intent was to show that a...
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python
'url': 'https://www.pornflip.com/embed/bLcDFxnrZnU', 'only_matching': True, }, ] _HOST = 'www.pornflip.com' def _real_extract(self, url): video_id = self._match_id(url) webpage = self._download_webpage( 'https://{}/sv/{}'.format(self._HOST, video_id), video_i...
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[ { "issue": "`age_limit` must be set of NSFW websites", "severity": "minor", "line": 26 } ]
1
python
os.remove("app.zip") @app('/ide', on_startup=on_startup, on_shutdown=on_shutdown) async def serve(q: Q): if not q.app.initialized: # Prod. if os.path.exists('base-snippets.json') and os.path.exists('component-snippets.json'): q.app.snippets1, q.app.snippets2, = await q.site.upload(['bas...
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[ { "issue": "Can we do something more general like\r\n```suggestion\r\n elif q.args.dropdown:\r\n q.user.view = q.args.dropdown\r\n q.page['header'].items[3].dropdown.value = q.args.dropdown\r\n```\r\n\r\nWould require changing elifs to ifs though.", "severity": "minor", "line": 26 } ]
1
python
except StopIteration: txn = None if expected['transaction'] is None: self.assertIsNone(txn) else: self.assertIsNotNone(txn) for key, value in expected['transaction'].items(): self.assertEquals(value, txn[key]) ...
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[ { "issue": "It looks like the only thing we use this for is `self.minutes[0]`. Do we need the whole minutes array?", "severity": "minor", "line": 26 } ]
1
python
) @dataclass class BatchInfo: """ Information to be passed and used for a batch of sequences. """ max_batch_size: int kv_max_split_num: int num_heads: int head_dim: int sequences_set: OrderedSet[Sequence] = None is_prompts: bool = True device: torch.device = None dtype: to...
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[ { "issue": "Post init seems to be redundant here. You could just set the default values.", "severity": "minor", "line": 26 } ]
1
python
- :class:`~oumi.core.configs.judge_config.JudgeConfig` - :class:`~oumi.core.configs.judge_config.JudgeAttribute` - :class:`~oumi.core.configs.judge_config.JudgeAttributeValueType` - :class:`~oumi.core.configs.judge_config_v2.JudgeConfig` - :class:`~oumi.core.configs.params.judge_params.JudgeOutputType` ...
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[ { "issue": "This should be plural, \"Params\". See our naming conventions here: https://github.com/oumi-ai/oumi/tree/main/src/oumi/core/configs/params", "severity": "minor", "line": 26 } ]
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python
except Exception as e: # pragma: no cover _warn( f"Exception raised in '{lib_name}.get_data({lib_name}, payload, {user_var_name}, value)'", # noqa: E501 e, ) if not isinstance(ret_payloa...
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[ { "issue": "```suggestion\r\n if page_path in [\"/\", \"\"]:\r\n```\r\nMore efficient don't you think?", "severity": "major", "line": 26 } ]
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python
Sample weights. Returns ------- fps : ndarray of shape (n_thresholds,) A count of false positives, at index i being the number of negative samples assigned a score >= thresholds[i]. The total number of negative samples is equal to fps[-1] (thus true negatives are given by fp...
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[ { "issue": "```suggestion\r\n >>> fps, tps, thresholds = binary_classification_curve(y_true, y_scores)\r\n```", "severity": "minor", "line": 26 } ]
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python
) transport_manager_info[transport_name] = TransportManagerInfo( transport_manager_class, devices ) if transport_name not in DEFAULT_TRANSPORTS: has_custom_transports = True DEFAULT_TRANSPORTS = ["NIXL", "GLOO", "NCCL", "CUDA_IPC"] register_tensor_transport("NIXL", ["cuda", "cpu"], Nixl...
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0
python
open(f()) open(b"foo") byte_str = b"bar" open(byte_str) def bytes_str_func() -> bytes: return b"foo" open(bytes_str_func()) # https://github.com/astral-sh/ruff/issues/17693 os.stat(1) os.stat(x) def func() -> int: return 2 os.stat(func()) def bar(x: int): os.stat(x) # https://github.com/astral-sh/ru...
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0
python
'description': self._og_search_description(webpage), 'uploader': uploader, 'view_count': int_or_none(view_count), 'average_rating': float_or_none(average_rating), 'thumbnail': self._og_search_thumbnail(webpage), 'formats': formats, 'duration': None...
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[ { "issue": "any reason this isnt just\r\n```suggestion\r\n if meta.get('premium') and not meta.get('premium_free'):\r\n```", "severity": "minor", "line": 26 } ]
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python
Raises ------ :exc:`ValueError` If ``point`` does not lie on the curve. :exc:`Exception` If the :class:`VMobject` has no points. """ self.throw_error_if_no_points() nc = self.get_num_curves() vmob_length = sum(self.get_nth_curve_length(i) ...
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[ { "issue": "```suggestion\r\n\r\n alpha = total_length / vmob_length\r\n return alpha\r\n```", "severity": "minor", "line": 26 } ]
1
python
series_meta = traverse_obj(meta, { 'title': 'program_name', 'channel': 'media_name', 'thumbnail': (('thumbnail_c', 'thumbnail_p'), {url_or_none}), }, get_all=False) if headline_id: return self._extract_episode_info( traverse_obj(meta, ( ...
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[ { "issue": "```suggestion\r\n```\r\nthis should be `'params': {'skip_download': True},`, but playlists aren't downloaded anyways so it can be removed", "severity": "minor", "line": 26 } ]
1
python
assert len(kedro_cli.global_groups) == 2 assert kedro_cli.global_groups == [cli, global_commands] assert len(kedro_cli.project_groups) == 1 assert kedro_cli.project_groups == [ project_commands, ] result = CliRunner().invoke(kedro_cli, []) assert result.exit_...
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0
python
if self.layout == "grid": return [] else: columns = [ BulkActionsColumn("bulk_actions"), ImagePreviewColumn( "preview", label=_("Preview"), accessor="image", classname="image-p...
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[ { "issue": "Since we're already going down the route of doing the query as part of the main query, I wonder if we should just allow ordering and see what happens in the wild?", "severity": "minor", "line": 26 } ]
1
python
torch.nn.BatchNorm2d The new batchnorm module """ in_masks, output_mask, _ = masks assert isinstance(norm, nn.BatchNorm2d) in_mask = in_masks[0] # N, C, H, W _, remained_in = convert_to_coarse_mask(in_mask, 1) _, remained_out = convert_to_coarse_mask(output_mask, 1) if remained_...
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0
python
LinearTransformationScene.__init__( self, show_coordinates=True, leave_ghost_vectors=True, **kwargs ) def construct(self): matrix = [[1, 1], [0, 1]] self.apply_matrix(matrix) ...
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0
python
import urllib.parse from .common import InfoExtractor from ..utils import ( ExtractorError, clean_html, get_element_by_id, int_or_none, join_nonempty, js_to_json, qualities, url_or_none, urljoin, ) from ..utils.traversal import traverse_obj class KukuluLiveIE(InfoExtractor): _...
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[ { "issue": "```suggestion\r\n clean_html,\r\n filter_dict,\r\n get_element_by_id,\r\n```", "severity": "minor", "line": 7 } ]
1
python
# See the License for the specific language governing permissions and # limitations under the License. # from luigi.target import Target class MongoTarget(Target): """ Target for a resource in MongoDB """ def __init__(self, mongo_client, index, collection): """ :param mongo_client: MongoCli...
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[ { "issue": "personally, i'd prefer the use of `str.format()` or f-strings", "severity": "minor", "line": 26 } ]
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python
# Copyright (c) MONAI Consortium # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, so...
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0
python
# Pass metadata to the function if it requires it if function_name in ["add_memory", "update_memory"]: function_args["metadata"] = metadata function_result = function_to_call(**function_args) # Fetch the memory_id from the response res...
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[ { "issue": "You have to consider the graph memory as well in the return statement", "severity": "major", "line": 26 } ]
1
python
class EbayIE(InfoExtractor): _VALID_URL = r'https?://(?:www\.)?ebay\.com/itm/(?P<id>\d+)' _TESTS = [{ 'url': 'https://www.ebay.com/itm/194509326719', 'info_dict': { 'id': '194509326719', 'ext': 'mp4', 'title': 'WiFi internal antenna adhesive for wifi 2.4GHz wi...
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[ { "issue": "```suggestion\r\n self.report_warning(f'Unsupported format {key}', video_id)\r\n```", "severity": "minor", "line": 26 } ]
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python
# create OTLP span exporter if endpoint is set otlp_span_exporter = OTLPSpanExporterWithTraceURL(endpoint=endpoint) tracer_provider: TracerProvider = trace.get_tracer_provider() if not getattr(tracer_provider, TRACER_PROVIDER_PFS_EXPORTER_SET_ATTR, False): _logger.info("have not set ...
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[ { "issue": "will this record too many ids?", "severity": "minor", "line": 26 } ]
1
python
base_color: Optional[str] = None, **kwargs, ): """ Core logging method that handles message formatting and output. Args: level: Log level for this message message: Message template string tag: Tag for the message params: Parameters to ...
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0
python
def _real_extract(self, url): blog_1, blog_2, video_id = self._match_valid_url(url).groups() blog = blog_2 or blog_1 url = f'http://{blog}.tumblr.com/post/{video_id}' webpage, urlh = self._download_webpage_handle( url, video_id, headers={'User-Agent': 'WhatsApp/2.0'}) # wha...
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[ { "issue": "maybe these would be better?\r\n\r\nif we want the content dicts from all branches:\r\n```suggestion\r\n content_json = traverse_obj(post_json, ((('trail', 0), None), 'content', ..., {dict}))\r\n```\r\n\r\n&nbsp;\r\n\r\nor if we want the exact same results as the original line of code (only t...
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python
# see: https://bugs.python.org/issue26660. # So on error, we will attempt to clear the readonly bits and re-attempt the cleanup shutil.rmtree(tmpdir, onerror=_remove_readonly) # Obtain config, either from a file or from interactive user prompts. extra_context = _get_extra_context( prompts_requi...
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[ { "issue": "@AhdraMeraliQB, thank you for the excellent work, the code is much clearer now! \r\nAlso, to further streamline our approach, perhaps we could consider this modification:\r\n```\r\nif not starter_alias:\r\n print_selection_and_prompt_info()\r\n```\r\nBy consolidating all printing operations into a...
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python
# pylint: disable=inconsistent-return-statements def first(self, *names): for name in names: value = self.get(name) if value: return value if not names: return next(iter(self), {}) def create_callback_id(output, inputs): # A single dot within...
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0
python
msg='special transformations should act on current element') self.assertEqual(traverse_obj(etree, ('country', 0, ..., 'text()', {int_or_none})), [1, 2008, 141100], msg='special transformations should act on current element') self.assertEqual(traverse_obj(_TEST_DATA, [(100, 1.2)...
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[ { "issue": "~~I don't understand this. Could you explain?~~\r\n\r\nShouldn't it be:\r\n\r\n```\r\n('dict', 'None', 100, 1.2) => [100, 1.2]\r\nany => 100\r\n{float} => 100\r\n```", "severity": "minor", "line": 26 } ]
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python
The previous timestep in the diffusion process. If negative, uses `final_alpha_cumprod`. Returns: `torch.Tensor`: The variance for the current timestep. """ alpha_prod_t = self.alphas_cumprod[timestep] alpha_prod_t_prev = self.alphas_cumprod[prev_timestep] if...
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0