language string | code-snippit string | instruction string | flaws list | flaw_count int64 |
|---|---|---|---|---|
python | class BaseCloudLLMEntity(Entity):
"""Cloud LLM conversation agent."""
def __init__(self, cloud: Cloud[CloudClient], config_entry: ConfigEntry) -> None:
"""Initialize the entity."""
self._cloud = cloud
self._entry = config_entry
async def _prepare_chat_for_generation(
self,
... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\n and last_message[\"role\"] == \"user\"\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | # Since the C code does not support striding using strides.
# The dimensions are used instead.
X = _copy_array_if_base_present(X)
# Convert the vector to squareform.
_distance_wrap.to_vector_from_squareform_wrap(X, v)
return v
else:
raise ValueError("The first argume... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n The triangle inequality states that for any three points ``i``, ``j``, and ``k``:\r\n ``D[i,k] <= D[i,j] + D[j,k]``\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | i4.conjugate()
A.conjugate()
B0.conjugate()
i4.cumprod()
A.cumprod()
A.cumprod(out=B1)
i4.cumsum()
A.cumsum()
A.cumsum(out=B1)
i4.max()
A.max()
A.max(axis=0)
A.max(keepdims=True)
A.max(out=B0)
i4.mean()
A.mean()
A.mean(axis=0)
A.mean(keepdims=True)
A.mean(out=B0)
i4.min()
A.min()
A.min(axis=0)
A.min(keepdims=True)... | Review this code and list any quality issues. | [] | 0 |
python | 2000-01-01,1,2
2000-01-02,,4
2000-01-03,5,6
"""
origin_df = pd.read_csv(io.StringIO(st), header=None)
origin_df.columns = ["datetime", "a", "b"]
origin_df.set_index("datetime", inplace=True, drop=True)
df = origin_df.copy()
CSZFillna(fields_group=None).__c... | Review this code and list any quality issues. | [
{
"issue": "Why is this function required?",
"severity": "minor",
"line": 26
}
] | 1 |
python | """Delete a previously sent message."""
chat_id = self.get_target_chat_ids(chat_id)[0]
message_id, _ = self._get_msg_ids(kwargs, chat_id)
_LOGGER.debug("Delete message %s in chat ID %s", message_id, chat_id)
deleted: bool = await self._send_msg(
self.bot.delete_message,
... | Review this code and list any quality issues. | [] | 0 |
python | def random_bitflip(data):
data = list(data)
data[random.randrange(len(data))] ^= (1 << (random.randrange(8)))
return bytes(data)
def get_fee(tx_size, feerate_btc_kvb):
"""Calculate the fee in BTC given a feerate is BTC/kvB. Reflects CFeeRate::GetFee"""
feerate_sat_kvb = int(feerate_btc_kvb * Decim... | Review this code and list any quality issues. | [
{
"issue": "tiny nit: if `duration < delay`, then `delay` should be set to duration?",
"severity": "minor",
"line": 26
}
] | 1 |
python | async def async_step_usb(self, discovery_info: UsbServiceInfo) -> ConfigFlowResult:
"""Handle usb discovery."""
await self.async_set_unique_id(discovery_info.serial_number)
self._abort_if_unique_id_configured()
self.data[CONF_DEVICE] = discovery_info.device
self.context["title_... | Review this code and list any quality issues. | [
{
"issue": "The errors parameter is unnecessary for a confirmation-only dialog. Since you're calling _set_confirm_only() at line 55, this form cannot have errors. Remove the errors={} parameter from async_show_form for clarity and consistency with other confirmation dialogs.\n```suggestion\n\n```",
"severit... | 1 |
python | filename: checkpoint filename. Can contain named formatting options to be auto-filled.
Example::
# save any arbitrary metrics like `val_loss`, etc. in name
# saves a file like: my/path/epoch=2-val_loss=0.02-other_metric=0.03.ckpt
>>> checkpoint_callback = Mo... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n appended with a version count starting with ``v1``.\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | def test_wrong_target(self, questions_file):
"""Test error, when target fuction does not generate required column."""
with pytest.raises(ValueError) as exc_info:
# target_fn will generate the "answer", but not ground truth.
evaluate(data=questions_file, evaluators={"g": F1ScoreEv... | Review this code and list any quality issues. | [
{
"issue": "I think these are more like unit-test instead of e2e tests.",
"severity": "minor",
"line": 26
}
] | 1 |
python | if axis[0] == 0 and axis[1] == 0:
# axis = [0, 0, z] case is common enough it's worth
# having a shortcut
sgn = 1 if axis[2] > 0 else -1
cos_a = math.cos(angle)
sin_a = math.sin(angle) * sgn
return [
[cos_a, sin_a, 0],
[-sin_a, cos_a, 0],
... | Review this code and list any quality issues. | [
{
"issue": "https://docs.manim.community/en/latest/contributing/documentation.html#adding-type-hints-to-functions-and-parameters Union[int, float]) to float",
"severity": "minor",
"line": 26
}
] | 1 |
python | def test_group(self):
class Index:
def __init__(self, value):
self.value = value
def __index__(self):
return self.value
# A single group
m = re.match('(a)(b)', 'ab')
self.assertEqual(m.group(), 'ab')
self.assertEqual(m.group... | Review this code and list any quality issues. | [
{
"issue": "To reduce the diff: create a helper function that checks the match object directly:\r\n\r\n```py\r\ndef test_match_getitem(self):\r\n for ...:\r\n with self.subTest(...):\r\n self.do_test_match_getitem(match_fn, pat)\r\n\r\ndef do_test_match_getitem(self, match_fn, pat):\r\n ... | 1 |
python | return self.pos_emb[:seq_len] # type: ignore
pos_emb = self.rotary_emb(seq_len, device=device)
self.register_buffer("pos_emb", pos_emb, persistent=False)
return pos_emb
def attention(
self, q: torch.Tensor, k: torch.Tensor, v: torch.Tensor, attention_bias: Optional[torch.FloatTens... | Review this code and list any quality issues. | [
{
"issue": "is F.scaled_dot_product_attention calling the desired flash attention kernel with keys and values having the attention head dim as 1?",
"severity": "minor",
"line": 26
}
] | 1 |
python | string_data = serializers.serialize(
format,
[t1, t2, t3],
use_natural_primary_keys=True,
use_natural_foreign_keys=True,
)
NaturalKeyThing.objects.all().delete()
objs_with_deferred_fields = []
for obj in serializers.deserialize(
format, string_data, handle_forward... | Review this code and list any quality issues. | [] | 0 |
python | try:
if self.ws:
await self.ws.close()
except Exception:
_log.debug('Ignoring exception soft disconnecting from voice', exc_info=True)
finally:
self.ip = MISSING
self.port = MISSING
self.state = with_state
s... | Review this code and list any quality issues. | [
{
"issue": "Just to be clear, you're resetting the state to `set_guild_voice_state` here if it fails?",
"severity": "critical",
"line": 26
}
] | 1 |
python | def test_status():
r = DataRequest()
r.docs.extend([Document()])
r.add_exception(ValueError('intentional_error'))
byte_array = DataRequestProto.SerializeToString(r)
deserialized_request = DataRequestProto.FromString(byte_array)
assert not deserialized_request.is_decompressed
assert deserial... | Review this code and list any quality issues. | [
{
"issue": "This should be callig the regular DataRequest contstructor, this is a unit test independent of the Proto optimization we have in serializer",
"severity": "minor",
"line": 26
}
] | 1 |
python | import sys
import re
import requests
import json
prelines = 10
postlines = 10
def find_errors_in_log_file():
if len(sys.argv) < 2:
print("Usage: python loganalysis.py <filename>")
return
log_file_path = sys.argv[1]
with open(log_file_path, 'r') as log_file:
log_lines = log_file.readlines()
error... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n# prelines and postlines represent the number of lines of context to include in the output around the error\r\nprelines = 10\r\n```",
"severity": "minor",
"line": 7
}
] | 1 |
python | kb_name = tool['source']
executor = skill_tool.get_command_executor()
kb = _get_knowledge_base(kb_name, skill.project_id, executor)
if not kb:
raise ValueError(f"Knowledge base not found: {kb_name}")
kb_table = executor.session.kb_controller.get_table(kb.name, kb.project_id... | Review this code and list any quality issues. | [
{
"issue": "Would prefer to not have inline imports",
"severity": "minor",
"line": 26
}
] | 1 |
python | # Close OpenGL window here instead of waiting for the main thread to
# finish causing the window to stay open and freeze
if renderer is not None and renderer.window is not None:
renderer.window.close()
if config["output_file"] is None:
... | Review this code and list any quality issues. | [
{
"issue": "Wouldn't it be better to add the fix for colab right here? I.e.,\r\n\r\n```suggestion\r\n embed = config[\"media_embed\"]\r\n if embed is None and \"google.colab\" in str(get_ipython()):\r\n embed = True\r\n elif embed is None:\r\n ... | 1 |
python | ' [Line 1\n'
' LooooooooooongestLine2\n'
' LongerLine 3 ,\n'
' None]],\n'
' dtype=object)'
)
def test_nested_array_repr(self):
a = np.empty((2, 2), dtype=object)
a[0, 0] = np.eye(2)
a[0, 1] = np... | Review this code and list any quality issues. | [
{
"issue": "Hypothesis is supposed to be thread-safe. I'd like to understand this a little better.",
"severity": "minor",
"line": 26
}
] | 1 |
python | #!/usr/bin/env python3
"""
Multi-node / multi-GPU Genesis ✕ PyTorch DDP demo
=================================================
Single machine, 2 GPUs:
torchrun --standalone --nnodes=1 --nproc_per_node=2 examples/ddp_multi_gpu.py
"""
import os, argparse, random, numpy as np
import torch, torch.nn as nn, torch.dist... | Review this code and list any quality issues. | [
{
"issue": "Could you add a description of what this script does, and how to check if it is working as expected?",
"severity": "minor",
"line": 3
}
] | 1 |
python | import base64
import hashlib
import itertools
import functools
import math
import re
from .common import InfoExtractor, SearchInfoExtractor
from ..compat import (
compat_parse_qs,
compat_urlparse,
compat_urllib_parse_urlparse
)
from ..utils import (
ExtractorError,
filter_dict,
float_or_none,
... | Review this code and list any quality issues. | [
{
"issue": "I think we usually put classes at the top of the list",
"severity": "minor",
"line": 22
}
] | 1 |
python | iframe = try_call(lambda: get_element_text_and_html_by_tag('iframe', webpage)[1]) or ''
iframe_src = url_or_none(extract_attributes(iframe).get('src'))
if not iframe_src:
raise ExtractorError('No playlist or embed found in webpage')
elif re.match(r'https?://(?:\w+\.)?... | Review this code and list any quality issues. | [
{
"issue": "I'd do:\r\n```py\r\n entries.append({\r\n **entry,\r\n 'track_number': track_number,\r\n ...\r\n })\r\n```\r\nbut not a biggie",
"severity": "minor",
"line": 26
}
] | 1 |
python | def as_oracle(self, compiler, connection, **extra_context):
if not connection.features.supports_uuid4_function:
raise NotSupportedError("UUID4 requires Oracle version 23ai or later.")
return self.as_sql(compiler, connection, function="UUID", **extra_context)
class UUID7(Func):
function... | Review this code and list any quality issues. | [
{
"issue": "This will help when grepping for `PY314` three years from now. :-)\n```suggestion\n # PY314: When dropping support for 3.14, remove the entire method.\n def as_sqlite(self, compiler, connection, **extra_context):\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | if is_mapped(ti.task):
# If we get here, it could be that we are moving from non-mapped to mapped
# after task instance clearing or this ti is not yet expanded. Safe to clear
# the db references.
ti.clear_db_references(session=session)
try:
... | Review this code and list any quality issues. | [
{
"issue": "This is (now) just a formatting change, so lets undo it\r\n\r\n```suggestion\r\n if not schedulable.are_dependencies_met(session=session, dep_context=dep_context):\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | from collections import OrderedDict
from typing import Any, List, Optional, Tuple
import torch
import torch.cuda
from torch.nn import Module
from torch.utils._pytree import SUPPORTED_NODES, LeafSpec, TreeSpec, _is_leaf, tree_flatten, tree_map, tree_unflatten
def tree_map_hf(fn: Any, pytree: Any):
flat_args, spec... | Review this code and list any quality issues. | [
{
"issue": "Do you need to update `_detach()` with `tree_flatten_hf()`?",
"severity": "minor",
"line": 26
}
] | 1 |
python | from .common import InfoExtractor
from ..utils import clean_html
from ..utils.traversal import (
find_element,
find_elements,
traverse_obj,
)
class FilmArchivIE(InfoExtractor):
IE_NAME = 'FILMARCHIV ON'
_VALID_URL = r'https?://(?:www\.)?filmarchiv\.at/de/filmarchiv-on/video/(?P<id>[0-9a-zA-Z_]+)'
... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n _TESTS = [{\r\n```",
"severity": "minor",
"line": 14
}
] | 1 |
python | config_entry.add_to_hass(hass)
await hass.config_entries.async_setup(config_entry.entry_id)
await hass.async_block_till_done()
assert config_entry.state is state
@pytest.mark.parametrize(
("state", "exception"),
[
(
ConfigEntryState.SETUP_RETRY,
HTTPStatusError(
... | Review this code and list any quality issues. | [
{
"issue": "The type annotation for `exception` parameter is inconsistent with the parametrized test data. The data includes both exception instances (lines 135-139) and an exception class (line 140). The type hint should be `type[Exception] | Exception` to accurately reflect what's being passed, or all test pa... | 1 |
python | import base64
import binascii
import datetime as dt
import hashlib
import hmac
import json
import os
import urllib.parse
from .common import InfoExtractor
from ..utils import ExtractorError, int_or_none
from ..utils.traversal import get_first, traverse_obj
class GoPlayIE(InfoExtractor):
_VALID_URL = r'https?://(... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\nclass GoPlayIE(InfoExtractor):\r\n IE_NAME = 'play.tv'\r\n IE_DESC = 'PLAY (formerly goplay.be)'\r\n```",
"severity": "major",
"line": 15
}
] | 1 |
python | self._bind_var_val(on_action_name, on_action)
on_action = on_action_name
else:
_warn("download() on_action is invalid.")
content_str = self._get_content("Gui.download", content, False)
self.__send_ws_download(content_str, str(name), str(on_action) if on_action... | Review this code and list any quality issues. | [
{
"issue": "This should not be optional. ... or how come would it be?",
"severity": "minor",
"line": 26
}
] | 1 |
python | def calc_last(
sensor_values: list[tuple[str, float, State]],
) -> tuple[dict[str, str | None], float | None]:
"""Calculate last value."""
last_updated: datetime | None = None
last_entity_id: str | None = None
last: float | None = None
for entity_id, state_f, state in sensor_values:
if l... | Review this code and list any quality issues. | [
{
"issue": "Empty sequences are false. Should be condensed to:\r\n```suggestion\r\n if sensor_values:\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | return post, files
class CustomWSGIRequest(WSGIRequest):
multipart_parser_class = CustomMultiPartParser
payload = FakePayload(
"\r\n".join(
[
"--boundary",
'Content-Disposition: form-data; name="name"',
... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\n # This assertion would FAIL without the multipart_parser_class change\n```",
"severity": "critical",
"line": 26
}
] | 1 |
python | logger = get_logger()
async def process_and_search(num_of_searches):
start_time = time.time()
await cognee.cognify()
await asyncio.gather(
*[
cognee.search(query_text="Tell me about AI", query_type=SearchType.GRAPH_COMPLETION)
for _ in range(num_of_searches)
]
... | Review this code and list any quality issues. | [
{
"issue": "You don't need `pathlib.Path` to wrap `join`.",
"severity": "minor",
"line": 26
}
] | 1 |
python | Best for: Finding functions, classes, implementation patterns.
Returns: Structured code information with context and relationships.
**CYPHER**:
Direct graph database queries using Cypher syntax.
Best for: Advanced users, specific graph traversals, debugging.
Retu... | Review this code and list any quality issues. | [] | 0 |
python | ),
((gu.ti_rotvec_to_quat, gu.ti_quat_to_rotvec), ([3], [4]), ((gs.EPS,), (gs.EPS,))),
):
ti_args = []
for shape_arg in (*shape_args, shape_args[0]):
ti_type = ti.Vector if len(shape_arg) == 1 else ti.Matrix
ti_arg = ti_type.field(*shape_arg, dtype=gs.ti_float, shape=... | Review this code and list any quality issues. | [] | 0 |
python | @pytest.mark.parametrize("storage_method", ["local", "s3"])
def test_snapshots_recovery(self, qdrant_container_factory, storage_method, tmp_path):
"""Test snapshot creation, download, and recovery with both local and S3 storage."""
if storage_method == "s3":
# For S3 testing, we'd need a... | Review this code and list any quality issues. | [
{
"issue": "I'm a bit confused if this does this steps:\n\n```sh\ndocker volume create snapshots\ndocker volume create tempdir\ndocker volume create storage\n\ndeclare DOCKER_IMAGE_NAME=qdrant-snapshots\n#declare DOCKER_IMAGE_NAME=qdrant/qdrant:snapshots\ndeclare CONTAINER_NAME=qdrant-snapshots-container\n\ndoc... | 1 |
python | def run_test(self):
self.log.info("basic tests using OP_TRUE challenge")
self.log.info('getmininginfo')
mining_info = self.nodes[0].getmininginfo()
assert_equal(mining_info['blocks'], 0)
assert_equal(mining_info['chain'], 'signet')
assert 'currentblocktx' not in mining_i... | Review this code and list any quality issues. | [
{
"issue": "Thanks for adding the helper. But now it's inconsistent with the `check_getblockchaininfo` helper. No strong preference for which style to use.\r\n\r\nMaybe make it `def check_getmininginfo(self, node_idx, signet_idx):` and `check_getblockchaininfo(self, node_idx, signet_idx) ` and put them above `r... | 1 |
python | ImageStatsKeys.INTENSITY: None,
}
super().__init__(stats_name, report_format)
self.update_ops(ImageStatsKeys.INTENSITY, SampleOperations())
def __call__(self, data):
# Input Validation Addition
if not isinstance(data, dict):
raise TypeError(f"Input data must be ... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n f\"Image data under '{self.image_key}' must have at least 3 dimensions, but got shape {image.shape}.\"\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | hass,
HOMEASSISTANT_DOMAIN,
"deprecated_yaml",
breaks_in_ha_version="2026.8.0",
is_fixable=False,
issue_domain=DOMAIN,
severity=ir.IssueSeverity.WARNING,
translation_key="deprecated_yaml",
translation_placeholders={
"domain": DOMAIN,
... | Review this code and list any quality issues. | [] | 0 |
python | to_return[k] = t
bias_name = k.split("lora_")[0] + "bias"
lora_bias_names.add(bias_name)
elif "bias" in k:
maybe_lora_bias[k] = t
for k, t in maybe_lora_bias:
if bias_name in lora_bias_names:
to_return[bias_name] = t
els... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n if model_args.flash_attn:\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | }
)
return returned_memories
parsed_messages = parse_messages(messages)
if self.config.custom_fact_extraction_prompt:
system_prompt = self.config.custom_fact_extraction_prompt
user_prompt = f"Input:\n{parsed_messages}"
else:
system... | Review this code and list any quality issues. | [
{
"issue": "**Note** this early return, added in PR #2744 means the the fact update llm call won't be made and means the test that expected two llm.generate_response calls now should only expect 1. That expectation is updated in this PR.",
"severity": "minor",
"line": 26
}
] | 1 |
python | DEFAULT_CLOSE_ON_DISCONNECT_REASONS: list[rtc.DisconnectReason.ValueType] = [
rtc.DisconnectReason.CLIENT_INITIATED,
rtc.DisconnectReason.ROOM_DELETED,
rtc.DisconnectReason.USER_REJECTED,
]
@dataclass
class TextInputEvent:
text: str
info: rtc.TextStreamInfo
participant: rtc.RemoteParticipant
... | Review this code and list any quality issues. | [
{
"issue": "Can we make a dataclass containing both the participant and the track?",
"severity": "minor",
"line": 26
}
] | 1 |
python | self._server._ws.emit(
"message",
payload,
to=self.__get_ws_receiver(),
)
time.sleep(0.001)
except Exception as e: # pragma: no cover
_warn(f"Exception raised in WebSocket communication in '{self.__f... | Review this code and list any quality issues. | [
{
"issue": "@dinhlongviolin1 I'd like your input on this ...",
"severity": "minor",
"line": 26
}
] | 1 |
python | # Extract the downloaded nightly version
if os.path.isdir(destination_folder):
print("The nightly folder {} has already been extracted.".format(destination_folder))
else:
self.extract_nightly(nightlies_folder, destination_folder, destination_file)
return self.get_executa... | Review this code and list any quality issues. | [] | 0 |
python | # note: mergekit-extract-lora flip and transpose A and B
# here we only need to transpose token_embd.lora_a, see llm_build_inp_embd()
if "token_embd.weight" in dest_name:
lora_a = lora_a.T
yield (dest_name + ".lora_a", lora_a)
... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n remote_hf_model_id=base_model_id,\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | cast = []
for star in series_meta.get('starring', []):
cast.append(strip_or_none(star.get('name')))
for star in series_meta.get('creator', []):
cast.append(strip_or_none(star.get('name')))
for star in series_meta.get('writer', []):
cast.append(strip_or_none(st... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n entries.append(self._entries('https://api.rctiplus.com/api/v2/program/%s/episode?season=%s' % (series_id, season['season']),\r\n display_id, 'Downloading season %s episode entries' % season['season'], metadata))\r\n\r\n entries... | 1 |
python | assert waveform.dtype == np.float64
class TestSquareWaveform:
def test_unique(self, xp):
t = xp.linspace(0, 2*np.pi, 1000)
y = waveforms.square(t)
assert y.shape == t.shape
unique = np.unique(y)
assert set(unique).issubset({-1.0, 1.0})
def test_dtype(self, xp):
... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n xp_assert_close(fraction_high, xp.asarray(duty, dtype=xp.float64)[()], rtol=1e-8)\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | checkout_version = checkout
elif kedro_version_match_starters:
checkout_version = version
else:
checkout_version = "main"
if "PySpark" in tools and "Kedro Viz" in tools:
# Use the spaceflights-pyspark-viz starter if both PySpark and Kedro Viz are chosen.
cookiecutter_args["d... | Review this code and list any quality issues. | [
{
"issue": "Shouldn't this just be `cookiecutter_args[\"checkout\"] = checkout_version` as well?",
"severity": "minor",
"line": 26
}
] | 1 |
python | # Check if path is relative and resolve it
if not path.is_absolute():
path = (file_path.parent / path).resolve()
# Skip if file does not exist for "model", this is handled by the server
if not path.exists() and command == "FROM":
... | Review this code and list any quality issues. | [
{
"issue": "the above example strips the newlines so join it back with newlines\r\n```suggestion\r\n modelfile_content = '\\n'.join(processed_lines)\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | elif target_channels == "RG":
if texture.shape[2] == 1:
texture = np.repeat(texture, 2, axis=2)
else:
texture = texture[:, :, (0, 1)]
elif target_channels == "GB":
if texture.shape[2] == 1:
texture = np.repeat(texture, 2, axis=2... | Review this code and list any quality issues. | [
{
"issue": "Same `tx` us not a good variable name.",
"severity": "minor",
"line": 26
}
] | 1 |
python | @pytest.mark.xfail_with_pyarrow_strings
def test_to_hdf_distributed(c):
pytest.importorskip("numpy")
pytest.importorskip("pandas")
from dask.dataframe.io.tests.test_hdf import test_to_hdf
test_to_hdf()
@ignore_sync_scheduler_warning
@pytest.mark.parametrize(
"npartitions",
[
1,
... | Review this code and list any quality issues. | [
{
"issue": "This still seems to be problematic for me; I'm not sure why it could be removed.",
"severity": "minor",
"line": 26
}
] | 1 |
python | llama_guard_shield:
model: Llama-Guard-3-1B
excluded_categories: []
disable_input_check: false
disable_output_check: false
enable_prompt_guard: false
memory:
- provider_id: provider1
provider_type... | Review this code and list any quality issues. | [] | 0 |
python | def _is_param_for_specific_executor(key_name: str) -> bool:
"""Tell if a key is for a specific Executor
ex: 'key' is for every Executor whereas 'my_executor__key' is only for 'my_executor'
:param key_name: key name of the param
:return: return True if key_name is for specific Executor, False otherwise... | Review this code and list any quality issues. | [] | 0 |
python | def test_select_related_memory_leak(self):
self.setup_gc_debug()
list(Species.objects.select_related("genus"))
self.assert_no_memory_leaks()
def test_certain_fields(self):
"""
The optional fields passed to select_related() control which related
models we pull in. Thi... | Review this code and list any quality issues. | [] | 0 |
python | inputs = []
sampling_params = []
for tokens, audio_array in tokenized_list:
num_samples = audio_array.shape[0]
max_tokens = audio_config.num_audio_tokens(num_samples) - len(tokens) - 1
sampling_params.append(SamplingParams(temperature=0.0, max_tokens=max_tokens))
input_dict = {... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\n@pytest.mark.skip(reason=\"Voxtral streaming is not yet public\")\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | raise ValueError(
"`dist_reduce_fx` must be callable or one of ['mean', 'sum', 'cat', None]"
)
if isinstance(default, torch.Tensor):
self.register_buffer(name, default)
else:
setattr(self, name, default)
self._defaults[name] = deepcopy(defaul... | Review this code and list any quality issues. | [
{
"issue": "@teddykoker @SkafteNicki also when we are using dist_sync_on_step as True, that should be a no_grad op. Since DDP will expect grads to be computed only for this GPU and then sync those when backpropagating.\r\n\r\nSo https://github.com/PyTorchLightning/pytorch-lightning/blob/master/pytorch_lightnin... | 1 |
python | @overload
def __init__(self, model: torch.nn.Module, config_list: List[Dict], evaluator: Evaluator,
existed_wrappers: Dict[str, ModuleWrapper] | None = None):
...
def __init__(self, model: torch.nn.Module, config_list: List[Dict], evaluator: Evaluator, \
existed_wrappe... | Review this code and list any quality issues. | [
{
"issue": "what if `quant_scheme` is None",
"severity": "minor",
"line": 26
}
] | 1 |
python | def ltrim(col: "ColumnOrName") -> Column:
"""
Trim the spaces from left end for the specified string value.
.. versionadded:: 1.5.0
.. versionchanged:: 3.4.0
Supports Spark Connect.
Parameters
----------
col : :class:`~pyspark.sql.Column` or str
target column to work on.
... | Review this code and list any quality issues. | [] | 0 |
python | from typing import Dict, Iterator, List, Mapping, Optional, OrderedDict, Tuple
import torch
import torch.nn as nn
from packaging.version import Version
from torch.optim import Optimizer
from torch.utils._pytree import tree_map
from colossalai.tensor.d_tensor import (
is_customized_distributed_tensor,
is_distr... | Review this code and list any quality issues. | [
{
"issue": "group file is not essential to be safetensors, as it does not store tensors",
"severity": "minor",
"line": 26
}
] | 1 |
python | # Create an instance to get the class, then call class methods
reader_instance = reader_factory_method()
reader_class = reader_instance.__class__
supported_strategies = reader_class.get_supported_chunking_strategies()
supported_content_types = reader_class.get_supported_content_types()
... | Review this code and list any quality issues. | [
{
"issue": "Do we need reader_id? it's not present in `reader`?",
"severity": "minor",
"line": 26
}
] | 1 |
python | f.update({
'abr': int(mobj.group(2)),
'ext': mobj.group(1).lower(),
})
formats.append(f)
for item in (try_get(episode, lambda x: x['audio']['items']) or []):
item_url = item.get('url')
if not (item_url and i... | Review this code and list any quality issues. | [] | 0 |
python | updated_at=datetime.fromisoformat(
comment.get('updated_at', '').replace('Z', '+00:00')
)
if comment.get('updated_at')
else datetime.fromtimestamp(0),
system=False, # GitHub doesn't have system comments in the same ... | Review this code and list any quality issues. | [
{
"issue": "should we put any reasonable limits on this? It could be a lot of data/tokens...",
"severity": "minor",
"line": 26
}
] | 1 |
python | class OTLPMetricsExporterProvider(OTLPExporterProvider):
def __init__(self, logger) -> None:
super().__init__(logger, ExporterType.METRIC)
def get_exporter(self, **kwargs):
try:
from opentelemetry.exporter.otlp.proto.http.metric_exporter import OTLPMetricExporter
class ... | Review this code and list any quality issues. | [
{
"issue": "This part is duplicated. Can It be moved into a base class and make it work for both trace and metrics exporters?",
"severity": "major",
"line": 26
}
] | 1 |
python | tool_call_approved=approved,
partial_output=allow_partial,
)
pyd_allow_partial = 'trailing-strings' if allow_partial else 'off'
validator = tool.args_validator
if isinstance(call.args, str):
args_dict = validator.validate_json(
... | Review this code and list any quality issues. | [
{
"issue": "- I don't think we need to repeat the tool name as the model will have it in context anyway (since this part becomes to the tool call result part)\r\n- `RetryPromptPart.model_response()` will already add a `Fix the errors and try again.` suffix, so the message would end in `Please try a different ap... | 1 |
python | 2,
"Should be FOH16 on session with roll.")
self.assertEqual(window.loc['2016-03-01', cf],
2,
"Should be FOH16 on session after roll.")
# Advance the window a month.
window = self.data_portal.get_history_window(
... | Review this code and list any quality issues. | [] | 0 |
python | clause = f"(implies d{enc} {pred_str})"
assertion = f"(assert {clause})"
assertions.append(assertion)
declarations = "\n".join(declarations)
assertions = "\n".join(assertions)
s.from_string(declarations)
s.from_string(assertions)
return s
known_functions = {
Add: '+',... | Review this code and list any quality issues. | [
{
"issue": "Something weird is going on down here. This line shouldn't be changed.",
"severity": "minor",
"line": 26
}
] | 1 |
python | bootstrap = protect.bootstrap
nvr_info = bootstrap.nvr
auth_user = bootstrap.users.get(bootstrap.auth_user_id)
# Check if API key is missing
if not protect.is_api_key_set() and auth_user and nvr_info.can_write(auth_user):
try:
new_api_key = await protect.create_api_key(
... | Review this code and list any quality issues. | [
{
"issue": "They should get the popup already when you raise `ConfigEntryAuthFailed` so I don't think we need to start it manually as well.\r\n\r\n```suggestion\r\n```",
"severity": "critical",
"line": 26
}
] | 1 |
python | | Exception,
) -> None:
"""Handle notifications from the MCP server, invalidating caches as needed."""
if isinstance(message, mcp_types.ServerNotification): # pragma: no branch
if isinstance(message.root, mcp_types.ToolListChangedNotification):
self._cached_tools = None
... | Review this code and list any quality issues. | [
{
"issue": "952 closed https://github.com/modelcontextprotocol/python-sdk/issues/952",
"severity": "minor",
"line": 26
}
] | 1 |
python | Treatment for floating-point underflow.
invalid : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional
Treatment for invalid floating-point operation.
Returns
-------
old_settings : dict
Dictionary containing the old settings.
See also
--------
seterrcall : Set a c... | Review this code and list any quality issues. | [
{
"issue": "It's not really a safety note, it's more of a usage note. Maybe \"Concurrency notes\"?\n\nAlso concurrency is better because this all applies to asyncio as well.",
"severity": "minor",
"line": 26
}
] | 1 |
python | _get_default_model_params(), remote_params=remote_params
)
conversation1 = Conversation(
messages=[
Message(
content="Hello world!",
role=Role.USER,
),
Message(
content="Hello again!"... | Review this code and list any quality issues. | [] | 0 |
python | hidden_re = re.compile(r'API|TOKEN|KEY|SECRET|PASS', re.I)
urlpass_re = re.compile(r'^.*?://[^:]+:(.*?)@.*?$')
safe_env = dict(env)
for k, v in safe_env.items():
if k == 'AWS_ACCESS_KEY_ID':
continue
elif k.startswith('ANSIBLE_') and not k.startswith('ANSIBLE_NET') and not k.star... | Review this code and list any quality issues. | [
{
"issue": "Is `RESOURCE_SERVICE_PATH` a new setting? Do we need installer changes to add it?",
"severity": "minor",
"line": 26
}
] | 1 |
python | previous_state: TaskInstanceState | None,
task_instance: RuntimeTaskInstance | TaskInstance,
error: None | str | BaseException,
):
"""Execute when task state changes to FAIL. previous_state can be None."""
@hookspec
def on_task_instance_skipped(
previous_state: TaskInstanceState | None,
task_insta... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\n (on_dag_run_success/on_dag_run_failed) which may have access to all task states.\n```",
"severity": "critical",
"line": 26
}
] | 1 |
python | logger.debug(f"Columns in response: {df.columns.tolist()}")
# Check if we have a rerank_model configured in KB params
rerank_model = self._kb.params.get("rerank_model")
if rerank_model and query_text:
# Use reranker for relevance score
try:
logger.info(f"U... | Review this code and list any quality issues. | [
{
"issue": "what kind of error we expect here? \r\nI would leave only expected exceptions. If user has error because openai balance is empty, should he know about it (and see this error)?",
"severity": "minor",
"line": 26
}
] | 1 |
python | class SyncOrAsyncAuth(httpx.Auth):
"""
A mock authentication scheme that uses a different implementation for the
sync and async cases.
"""
def __init__(self) -> None:
self._lock = threading.Lock()
self._async_lock = asyncio.Lock()
def sync_auth_flow(
self, request: http... | Review this code and list any quality issues. | [
{
"issue": "is there a reason these were not marked `@pytest.mark.usefixtures(\"async_environment\")` ?",
"severity": "minor",
"line": 26
}
] | 1 |
python | def deferred_tool(x: int) -> int: # pragma: no cover
return x + 1
result = agent.run_sync('test early strategy')
messages = result.all_messages()
# Verify no tools were called after final result
assert tool_called == []
# Verify we got tool returns for all calls
... | Review this code and list any quality issues. | [] | 0 |
python | interaction = data['interaction']
self.id: int = int(interaction['id'])
self._thinking: bool = interaction.get('response_message_loading', False)
self._ephemeral: bool = interaction.get('response_message_ephemeral', False)
self.message_id: Optional[int] = utils._get_as_snowflake(intera... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n message = resource.get('message')\r\n activity_instance = resource.get('activity_instance')\r\n if message is not None:\r\n self.resource = InteractionMessage(\r\n state=self._state,\r\n channel=s... | 1 |
python | match = self._py_version_re.search(version)
if match:
version = version[: match.start()]
py_version = match.group(1)
if py_version != self._target_python.py_version:
return (
LinkType.platform_mismatch,
"Python version i... | Review this code and list any quality issues. | [
{
"issue": "Do we need to still show cases where `Version` can’t parse the content? Maybe just put them to the end.\r\n\r\nAlternatively, maybe we should just try to do a `split(\".\")` and try to sort each parsable segment as int? Something like\r\n\r\n```python\r\ndef get_version_sort_key(v):\r\n return tu... | 1 |
python | class TempoIE(InfoExtractor):
_VALID_URL = r'https?://video\.tempo\.co/\w+/\d+/(?P<id>[\w-]+)'
_TESTS = [{
'url': 'https://video.tempo.co/read/30058/anies-baswedan-ajukan-banding-putusan-ptun-batalkan-ump-dki',
'info_dict': {
'id': '2144275',
'display_id': 'anies-baswedan... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n _, player_key, video_id = next(IVXPlayerIE._extract_embed_urls(url, webpage)).split(':')\r\n```",
"severity": "major",
"line": 26
}
] | 1 |
python | return tlocal.oid
@cached_property
def amqp(self):
"""AMQP related functionality: :class:`~@amqp`."""
return instantiate(self.amqp_cls, app=self)
@property
def backend(self):
"""Current backend instance."""
if not hasattr(tlocal, 'backend'):
tlocal.backend =... | Review this code and list any quality issues. | [
{
"issue": "I'd like to see some validation that this comment is not longer relevant. The `celery.backend.asynchronous.BaseResultConsumer` class is used fairly broadly now and it sounds like messing this up would result in us losing results all over the place. If we have to fix it, I figure we can pass a specif... | 1 |
python | def pin_lora(self, lora_id: int) -> bool:
raise NotImplementedError
def list_loras(self) -> set[int]:
raise NotImplementedError
@property
def vocab_size(self) -> int:
"""Get vocabulary size from model configuration."""
return self.model_config.get_vocab_size()
def shut... | Review this code and list any quality issues. | [] | 0 |
python | from .common import InfoExtractor
from ..utils import (
js_to_json,
urlencode_postdata,
urljoin,
)
class JioSaavnBaseInfoExtractor(InfoExtractor):
def _extract_initial_data(self, url, audio_id):
webpage = self._download_webpage(url, audio_id)
return self._search_json(
r'win... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\nclass JioSaavnSongIE(JioSaavnBaseIE):\r\n```",
"severity": "minor",
"line": 17
}
] | 1 |
python | result = DataFrame({"a": ["test"], "b": [np.nan]})
with pytest.raises(TypeError, match="Invalid value"):
result.loc[:, "b"] = result.loc[:, "b"].astype("Int64")
def test_iloc_setitem_list_with_cow(self):
# GH#60309
with option_context("mode.copy_on_write", True):
dft... | Review this code and list any quality issues. | [
{
"issue": "Nit: Once the assignment is done, this is no longer a view. Can you change to just \"df\" instead of \"view\".",
"severity": "minor",
"line": 26
}
] | 1 |
python | print('Loss: {} Accuracy: {}%'.format(
test_loss, 100 * correct / len(test_loader.dataset)))
print("Inference elapsed_time (whole dataset): {}s".format(time_elasped))
def post_training_quantization_example(train_loader, test_loader, device):
model = NaiveModel()
config = {
'conv1':{'weigh... | Review this code and list any quality issues. | [] | 0 |
python | 'title': 'md5:79f9c8183ea6a35c836923142cf0abcc',
'description': '',
'thumbnail': 'https://cdn.jwplayer.com/v2/media/W86PgQDn/thumbnails/B9gpIxkH.jpg',
'channel': 'León Picarón',
'channel_id': 'leonpicaron',
'timestamp': 1696460362,
'upload_date': '... | Review this code and list any quality issues. | [
{
"issue": "Because fatal=False, error will not be raised when download_json fails if the video id does not exist. extract_m3u8_formats_and_subtitles will wait until timeout. This change is made to skip the process if video_data is not available.",
"severity": "critical",
"line": 26
}
] | 1 |
python | Examples
--------
>>> import numpy as np
>>> from scipy.stats import expectile
>>> a = [1, 4, 2, -1]
>>> expectile(a, alpha=0.5) == np.mean(a)
True
>>> expectile(a, alpha=0.2)
0.42857142857142855
>>> expectile(a, alpha=0.8)
2.5714285714285716
>>> weights = [1, 3, 1, 1]
>>... | Review this code and list any quality issues. | [
{
"issue": "This was never really needed. It was just a way to save a bisection step, but I think the time savings is negligiible.",
"severity": "minor",
"line": 26
}
] | 1 |
python | 'x-hasura-user-id': '1',
'x-hasura-allowed-roles': ['user', 'editor'],
'x-hasura-default-role': 'user'
})
claims_namespace_path = hge_ctx.hge_jwt_claims_ns_path
if claims_namespace_path is None:
self.claims['https://hasura.io/jwt/claims'] = claims
... | Review this code and list any quality issues. | [
{
"issue": "This logic is repeated lot of places in the same file. If possible, can we abstract this into a new function and reuse it?",
"severity": "major",
"line": 26
}
] | 1 |
python | return tokenizer(examples['text'], padding='max_length', truncation=True)
tokenized_datasets = dataset.map(tokenize_function, batched=True)
small_train_dataset = tokenized_datasets['train'].shuffle(seed=42).select(range(1000))
small_eval_dataset = tokenized_datasets['test'].shuffle(seed=42).select(range(1000))
from ... | Review this code and list any quality issues. | [
{
"issue": "suggest to put these `import`s at the top, which would be more formal",
"severity": "minor",
"line": 26
}
] | 1 |
python | _TESTS = [{
'url': 'https://www.filmarchiv.at/de/filmarchiv-on/video/f_0305p7xKrXUPBwoNE9x6mh',
'md5': 'TODO: md5 sum of the first 10241 bytes of the video file (use --test)',
'info_dict': {
'id': 'f_0305p7xKrXUPBwoNE9x6mh',
'ext': 'mkv',
'title': 'Der Wurstel... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n 'url': 'https://www.filmarchiv.at/de/filmarchiv-on/video/f_0305p7xKrXUPBwoNE9x6mh',\r\n 'md5': '54a6596f6a84624531866008a77fa27a',\r\n 'info_dict': {\r\n 'id': 'f_0305p7xKrXUPBwoNE9x6mh',\r\n 'ext': 'mp4',\r\n 'title': 'Der Wurs... | 1 |
python | IE_NAME = 'mave:channel'
_VALID_URL = r'https?://(?P<id>[\w-]+)\.mave\.digital/?$'
_TESTS = [{
'url': 'https://budem.mave.digital/',
'info_dict': {
'id': 'budem',
'title': 'Все там будем',
'description': 'md5:f04ae12a42be0f1d765c5e326b41987a',
},
... | Review this code and list any quality issues. | [
{
"issue": "This limits us to the first 50 entries. Example with more episodes: https://geekcity.mave.digital/\r\nInstead I would use the API and properly paginate https://api.mave.digital/v1/website/geekcity/episodes?view=all&page=1&sort=newest&format=all\r\n\r\nArguably even the single page extractor should h... | 1 |
python | from crawlee._utils.docs import docs_group
from crawlee.abstract_http_crawler._http_crawling_context import ParsedHttpCrawlingContext
from crawlee.beautifulsoup_crawler._utils import html_to_text
@dataclass(frozen=True)
@docs_group('Data structures')
class BeautifulSoupCrawlingContext(ParsedHttpCrawlingContext[Beauti... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n \"\"\"Convert the parsed HTML content to newline-separated plain text without tags.\"\"\"\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | Joined = 4
def _create_partition_from_dict(d):
topic = d["topic"]
partition = d["partition"]
return TopicPartition(topic, partition)
class ConsumerEventHandler(object):
def __init__(self, node, verify_offsets, idx, state=ConsumerState.Dead,
revoked_count=0, assigned_count=0, assign... | Review this code and list any quality issues. | [
{
"issue": "`ConsumerEventHandler` instantiates every consumer in `ConsumerState.Dead`. During the test, we sometimes read that state before the background thread emits `startup_complete`, so\n the test concluded “this node started and then shut down” even though it never left the default state.\n\n We now ke... | 1 |
python | self.assertEqual(stderr, "")
child_pid = int(stdout.strip())
perf_file = pathlib.Path(f"/tmp/perf-{process.pid}.map")
perf_child_file = pathlib.Path(f"/tmp/perf-{child_pid}.map")
self.assertTrue(perf_file.exists())
self.assertTrue(perf_child_file.exists())
perf_file_cont... | Review this code and list any quality issues. | [
{
"issue": "Please remove this line to minimize diff.",
"severity": "major",
"line": 26
}
] | 1 |
python | return True
elif self._upgrade_strategy == "only-if-needed":
user_order = _get_with_identifier(
self._user_requested,
identifier,
default=None,
)
return user_order is not None
return False... | Review this code and list any quality issues. | [
{
"issue": "Would a staticmethod work instead as the instance isn't used here? I'm not a huge fan of breaking this out into a helper function",
"severity": "major",
"line": 26
}
] | 1 |
python | import yaml
from awx.main.tests.live.tests.conftest import wait_for_events
from awx.main.tasks.host_indirect import build_indirect_host_data
from awx.main.models import Job
def test_indirect_host_counting(live_tmp_folder, run_job_from_playbook):
run_job_from_playbook('test_indirect_host_counting', 'run_task.yml... | Review this code and list any quality issues. | [] | 0 |
python | """Change user null bios to empty string"""
from __future__ import annotations
from core.jobs import base_jobs
from core.jobs.io import ndb_io
from core.jobs.types import job_run_result
from core.platform import models
import apache_beam as beam
MYPY = False
if MYPY: # pragma: no cover
from mypy_imports import ... | Review this code and list any quality issues. | [] | 0 |
python | get_efficientnet_image_size,
)
from .flexible_unet import FLEXUNET_BACKBONE, FlexibleUNet, FlexUNet, FlexUNetEncoderRegister
from .fullyconnectednet import FullyConnectedNet, VarFullyConnectedNet
from .generator import Generator
from .highresnet import HighResBlock, HighResNet
from .hovernet import Hovernet, HoVernet, ... | Review this code and list any quality issues. | [] | 0 |
python | print("NOTICE: You have both enabled in-reward kl and kl loss.")
# critic
if use_critic:
critic_config = omega_conf_to_dataclass(config.critic)
critic_config.validate(n_gpus, config.data.train_batch_size)
if config.data.get("val_batch_size", None) is not None:
print(
"W... | Review this code and list any quality issues. | [
{
"issue": "when would lora_rank be less than 0?",
"severity": "minor",
"line": 26
}
] | 1 |
python | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
import os
import re
import numpy as np
from promptflow._utils.async_utils import async_run_allowing_running_loop
from promptflow.core imp... | Review this code and list any quality issues. | [
{
"issue": "Can this be changed to a single constant rather than redefined in each eval?",
"severity": "minor",
"line": 21
}
] | 1 |
python | }, {
'url': 'https://francaisfacile.rfi.fr/fr/podcasts/un-mot-une-histoire/20250317-le-mot-de-david-foenkinos-peut-%C3%AAtre',
'md5': 'db83c2cc2589b4c24571c6b6cf14f5f1',
'info_dict': {
'id': 'WBMZ59441-FLE-FR-20250317',
'title': 'Le mot de David Foenkinos: «peut-être» - U... | Review this code and list any quality issues. | [
{
"issue": "```suggestion\r\n\r\n return {\r\n 'id': data['mediaId'],\r\n 'display_id': display_id,\r\n```",
"severity": "minor",
"line": 26
}
] | 1 |
python | from awx.main.tasks.receptor import _convert_args_to_cli
def test_file_cleanup_scenario():
args = _convert_args_to_cli({'exclude_strings': ['awx_423_', 'awx_582_'], 'file_pattern': '/tmp/awx_*_*'})
assert ' '.join(args) == 'cleanup --exclude-strings=awx_423_ awx_582_ --file-pattern=/tmp/awx_*_*'
def test_im... | Review this code and list any quality issues. | [
{
"issue": "As per the backlinked issue, the resultant meaning of this was to exclude any directory that has the `\"awx_423_ awx_582_\"` literal in its name. That is, in practical terms, excluding no directories.",
"severity": "minor",
"line": 6
}
] | 1 |
python | "dtype": "int32",
"keypoints": [],
"connections": [],
"_info": [
"keypoints",
"connections",
], # keypoints and connections should be stored in info, not meta
},
htype.POINT: {"dtype": "int32"},
htype.JSON: {
"dtype": "Any",
},
htype.L... | Review this code and list any quality issues. | [
{
"issue": "I really like this class, can you write its name capital letter at the beginning? Also can we move all constants to the top of the class? I think they shouldn't be mixed with methods",
"severity": "minor",
"line": 26
}
] | 1 |
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