complexity int64 1 139 | fun_name stringlengths 1 80 | code stringlengths 101 62.2k | commit_id stringlengths 40 40 | ast_errors stringlengths 0 3.11k | ast_levels int64 6 36 | file_name stringlengths 5 79 | n_ast_nodes int64 17 19.2k | commit_message stringlengths 3 15.3k | d_id int64 12 121k | n_ast_errors int64 0 9 | n_whitespaces int64 4 10.8k | token_counts int64 5 3.06k | vocab_size int64 4 1.11k | id int64 20 338k | n_words int64 4 4.82k | repo stringlengths 3 22 | n_identifiers int64 2 176 | path stringlengths 7 134 | language stringclasses 1
value | nloc int64 1 413 | documentation dict | url stringlengths 31 59 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | as_airbyte_message | def as_airbyte_message(self) -> AirbyteMessage:
now_millis = datetime.now().timestamp() * 1000.0
trace_exc = self._exception or self
stack_trace_str = "".join(traceback.TracebackException.from_exception(trace_exc).format())
trace_message = AirbyteTraceMessage(
type... | 73c7fad7fce952a8c3ba827ca858e4280bd846f3 | 14 | traced_exception.py | 166 | CDK: emit `AirbyteTraceMessage` with exception trace information (#12593) | 710 | 0 | 198 | 107 | 40 | 5,031 | 45 | airbyte | 30 | airbyte-cdk/python/airbyte_cdk/utils/traced_exception.py | Python | 18 | {
"docstring": "\n Builds an AirbyteTraceMessage from the exception\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | https://github.com/airbytehq/airbyte.git | |
1 | _get_model_info | def _get_model_info(self, model_name):
# noqa
return self.storage.get('models')[model_name]
| 4b49bf89ad95fcc645a249983efd764c1a73e3bb | 9 | lightwood_handler.py | 36 | copy from /lightwood_handler branch: added generic serializer for dill support, lw integration functional | 25,193 | 0 | 22 | 20 | 7 | 114,440 | 7 | mindsdb | 5 | mindsdb/integrations/lightwood_handler/lightwood_handler/lightwood_handler.py | Python | 2 | {
"docstring": " Returns a dictionary with three keys: 'jsonai', 'predictor' (serialized), and 'code'. ",
"language": "en",
"n_whitespaces": 12,
"n_words": 11,
"vocab_size": 11
} | https://github.com/mindsdb/mindsdb.git | |
1 | get_views | def get_views(self):
query = f"SELECT * FROM information_schema.views WHERE table_schema NOT IN ('information_schema', 'pg_catalog')"
result = self.run_native_query(query)
return result
| 7e3da9157508a5eb38dbfabbd7f08ba8fa6c5a88 | 8 | postgres_handler.py | 36 | Get tables, views, describe | 25,222 | 0 | 47 | 20 | 17 | 114,587 | 19 | mindsdb | 5 | mindsdb/integrations/postgres_handler/postgres_handler.py | Python | 4 | {
"docstring": "\n List all views in PostgreSQL without the system views information_schema and pg_catalog\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 11
} | https://github.com/mindsdb/mindsdb.git | |
10 | mod_inverse | def mod_inverse(a, m):
r
c = None
try:
a, m = as_int(a), as_int(m)
if m != 1 and m != -1:
x, _, g = igcdex(a, m)
if g == 1:
c = x % m
except ValueError:
a, m = sympify(a), sympify(m)
if not (a.is_number and m.is_number):
... | f3b08522003f40868afb20304fc0fa5b16d13f6a | 15 | numbers.py | 240 | Cleanup documentation | 48,421 | 0 | 240 | 149 | 64 | 197,274 | 97 | sympy | 18 | sympy/core/numbers.py | Python | 63 | {
"docstring": "\n Return the number $c$ such that, $a \\times c = 1 \\pmod{m}$\n where $c$ has the same sign as $m$. If no such value exists,\n a ValueError is raised.\n\n Examples\n ========\n\n >>> from sympy import mod_inverse, S\n\n Suppose we wish to find multiplicative inverse $x$ of\n ... | https://github.com/sympy/sympy.git | |
9 | potentially_ragged_concat | def potentially_ragged_concat(tensors):
if len(tensors) == 1:
return tensors[0]
if isinstance(tensors[0], tf.SparseTensor):
return tf.sparse.concat(axis=0, sp_inputs=tensors)
elif isinstance(tensors[0], tf.RaggedTensor):
return tf.concat(tensors, axis=0)
elif not tf.__intern... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 14 | training.py | 380 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,801 | 0 | 237 | 242 | 68 | 271,566 | 106 | keras | 31 | keras/engine/training.py | Python | 25 | {
"docstring": "Concats `Tensor`s along their first dimension.\n\n Args:\n tensors: List of `Tensor`s.\n\n Returns:\n Concatenation of the inputs along the first dimension -- of type `Tensor`\n if all input shapes are compatible, or `RaggedTensor` if not.\n ",
"language": "en",
"n_whitespa... | https://github.com/keras-team/keras.git | |
8 | dag_longest_path | def dag_longest_path(G, weight="weight", default_weight=1, topo_order=None):
if not G:
return []
if topo_order is None:
topo_order = nx.topological_sort(G)
dist = {} # stores {v : (length, u)}
for v in topo_order:
us = [
(dist[u][0] + data.get(weight, default_... | 304682fd71ba3bae9c456b004bbabafb96022add | @not_implemented_for("undirected") | 14 | dag.py | 295 | Add example of topo_order kwarg to dag_longest_path (#5728) | 42,147 | 1 | 241 | 185 | 74 | 176,856 | 109 | networkx | 23 | networkx/algorithms/dag.py | Python | 22 | {
"docstring": "Returns the longest path in a directed acyclic graph (DAG).\n\n If `G` has edges with `weight` attribute the edge data are used as\n weight values.\n\n Parameters\n ----------\n G : NetworkX DiGraph\n A directed acyclic graph (DAG)\n\n weight : str, optional\n Edge data... | https://github.com/networkx/networkx.git |
6 | test_conversation_part_filtering_based_on_conversation | def test_conversation_part_filtering_based_on_conversation(requests_mock, conversation_parts_responses):
updated_at = 1650988200
state = {"updated_at": updated_at}
expected_record_ids = set()
for response_tuple in conversation_parts_responses:
requests_mock.register_uri('GET', response_tupl... | 1642630461c25e447ede67bb42ba6ea6ec700e52 | 16 | unit_test.py | 239 | 🐛 Source Intercom: Fixed filtering of conversation_parts (#12374) | 690 | 0 | 110 | 149 | 39 | 4,928 | 51 | airbyte | 28 | airbyte-integrations/connectors/source-intercom/unit_tests/unit_test.py | Python | 13 | {
"docstring": "\n Test shows that conversation_parts filters conversations (from parent stream) correctly\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 10,
"vocab_size": 10
} | https://github.com/airbytehq/airbyte.git | |
6 | get_lexer_for_mimetype | def get_lexer_for_mimetype(_mime, **options):
for modname, name, _, _, mimetypes in LEXERS.values():
if _mime in mimetypes:
if name not in _lexer_cache:
_load_lexers(modname)
return _lexer_cache[name](**options)
for cls in find_plugin_lexers():
if _mi... | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | 13 | __init__.py | 123 | check point progress on only bringing in pip==22.0.4 (#4966)
* vendor in pip==22.0.4
* updating vendor packaging version
* update pipdeptree to fix pipenv graph with new version of pip.
* Vendoring of pip-shims 0.7.0
* Vendoring of requirementslib 1.6.3
* Update pip index safety restrictions patch for p... | 3,380 | 0 | 116 | 77 | 31 | 20,452 | 42 | pipenv | 14 | pipenv/patched/notpip/_vendor/pygments/lexers/__init__.py | Python | 10 | {
"docstring": "Get a lexer for a mimetype.\n\n Raises ClassNotFound if not found.\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 11,
"vocab_size": 10
} | https://github.com/pypa/pipenv.git | |
6 | _extract_gradient_tags | def _extract_gradient_tags(self):
tags = re.finditer(
r'<gradient\s+from="([^"]+)"\s+to="([^"]+)"(\s+offset="([^"]+)")?>(.+?)</gradient>',
self.original_text,
re.S,
)
gradientmap = []
for tag in tags:
start = self._count_real_chars... | 902e7eb4f0147b5882a613b67467e38a1d47f01e | 14 | text_mobject.py | 311 | Hide more private methods from the docs. (#2468)
* hide privs from text_mobject.py
* hide privs from tex_mobject.py
* hide privs from code_mobject.py
* hide privs from svg_mobject.py
* remove SVGPath and utils from __init__.py
* don't import string_to_numbers
* hide privs from geometry.py
* hide p... | 46,096 | 0 | 378 | 197 | 60 | 189,496 | 75 | manim | 22 | manim/mobject/svg/text_mobject.py | Python | 25 | {
"docstring": "Used to determine which parts (if any) of the string should be formatted\n with a gradient.\n\n Removes the ``<gradient>`` tag, as it is not part of Pango's markup and would cause an error.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 33,
"vocab_size": 31
} | https://github.com/ManimCommunity/manim.git | |
5 | get_feature_names_out | def get_feature_names_out(self, input_features=None):
input_features = _check_feature_names_in(
self, input_features, generate_names=True
)
est_name = self.__class__.__name__.lower()
names_list = [f"{est_name}_{name}_sqrt" for name in input_features]
for j ... | 67a3feed2fe4e82c1cc129c34b9e223b94a8d531 | 11 | kernel_approximation.py | 176 | ENH Adds get_feature_names_out for AdditiveChi2Sampler (#22137)
Co-authored-by: Olivier Grisel <olivier.grisel@gmail.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 75,584 | 0 | 138 | 94 | 31 | 259,125 | 45 | scikit-learn | 21 | sklearn/kernel_approximation.py | Python | 11 | {
"docstring": "Get output feature names for transformation.\n\n Parameters\n ----------\n input_features : array-like of str or None, default=None\n Only used to validate feature names with the names seen in :meth:`fit`.\n\n Returns\n -------\n feature_names_out :... | https://github.com/scikit-learn/scikit-learn.git | |
3 | scalar_potential_difference | def scalar_potential_difference(field, frame, point1, point2, origin):
_check_frame(frame)
if isinstance(field, Vector):
# Get the scalar potential function
scalar_fn = scalar_potential(field, frame)
else:
# Field is a scalar
scalar_fn = field
# Express positions in... | 9a3ffc6781bd44c47cf49e128ef154389c32876a | 10 | fieldfunctions.py | 208 | Some pep8 cleanup of sympy.physics.vector. | 48,541 | 0 | 155 | 133 | 56 | 197,433 | 77 | sympy | 23 | sympy/physics/vector/fieldfunctions.py | Python | 14 | {
"docstring": "\n Returns the scalar potential difference between two points in a\n certain frame, wrt a given field.\n\n If a scalar field is provided, its values at the two points are\n considered. If a conservative vector field is provided, the values\n of its scalar potential function at the two p... | https://github.com/sympy/sympy.git | |
7 | prev_lexicographic | def prev_lexicographic(self):
i = self.superset_size - 1
indices = Subset.subset_indices(self.subset, self.superset)
while i >= 0 and i not in indices:
i = i - 1
if i == 0 or i - 1 in indices:
indices.remove(i)
else:
if i >= 0:
... | 498015021131af4dbb07eb110e5badaba8250c7b | 13 | subsets.py | 192 | Updated import locations | 47,719 | 0 | 217 | 120 | 35 | 196,219 | 62 | sympy | 13 | sympy/combinatorics/subsets.py | Python | 17 | {
"docstring": "\n Generates the previous lexicographically ordered subset.\n\n Examples\n ========\n\n >>> from sympy.combinatorics import Subset\n >>> a = Subset([], ['a', 'b', 'c', 'd'])\n >>> a.prev_lexicographic().subset\n ['d']\n >>> a = Subset(['c','d'], ... | https://github.com/sympy/sympy.git | |
3 | add_base_argument | def add_base_argument(self, parser, *args, **kwargs):
for arg in args:
if arg in self.suppressed_base_arguments:
kwargs["help"] = argparse.SUPPRESS
break
parser.add_argument(*args, **kwargs)
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | base.py | 73 | Refs #33476 -- Reformatted code with Black. | 50,806 | 0 | 81 | 45 | 17 | 204,596 | 19 | django | 10 | django/core/management/base.py | Python | 6 | {
"docstring": "\n Call the parser's add_argument() method, suppressing the help text\n according to BaseCommand.suppressed_base_arguments.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 12,
"vocab_size": 11
} | https://github.com/django/django.git | |
3 | get_holiday | def get_holiday(holiday_list, month):
holiday_map = frappe._dict()
for d in holiday_list:
if d:
holiday_map.setdefault(
d,
frappe.db.sql(
,
(d, month),
),
)
return holiday_map
@frappe.whitelist() | 494bd9ef78313436f0424b918f200dab8fc7c20b | @frappe.whitelist() | 14 | monthly_attendance_sheet.py | 83 | style: format code with black | 14,150 | 1 | 10 | 47 | 22 | 66,259 | 23 | erpnext | 11 | erpnext/hr/report/monthly_attendance_sheet/monthly_attendance_sheet.py | Python | 13 | {
"docstring": "select day(holiday_date), weekly_off from `tabHoliday`\n\t\t\t\twhere parent=%s and month(holiday_date)=%s",
"language": "en",
"n_whitespaces": 7,
"n_words": 9,
"vocab_size": 9
} | https://github.com/frappe/erpnext.git |
1 | add_hedge_option | def add_hedge_option(price, implied_volatility, strike, days, side):
# Determine delta position given the option
delta = calc_delta(price, implied_volatility, strike, days, 0, side)
# Determine gamma position given the option
gamma = calc_gamma(price, implied_volatility, strike, days, 0)
# De... | 54a1b6f545a0016c576e9e00eef5c003d229dacf | 8 | hedge_model.py | 88 | Feature/hedge (#1768)
* [Bug] Incorrect log for reddit keys. #1733 fix
* Create new feature-hedge
* Significantly improve code of hedge menu
* More robust
* Robustness
* Fix tests
* Fix can't multiply sequence by non-int of type 'numpy.float64' error
* Temporary fix of singular matrix error. Retur... | 84,764 | 0 | 77 | 64 | 25 | 284,498 | 53 | OpenBBTerminal | 12 | openbb_terminal/stocks/options/hedge/hedge_model.py | Python | 5 | {
"docstring": "Determine the delta, gamma and vega value of the portfolio and/or options.\n\n Parameters\n ----------\n price: int\n The price.\n implied_volatility: float\n The implied volatility.\n strike: float\n The strike price.\n days: float\n The amount of days un... | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
1 | __radd__ | def __radd__(self, other):
# In analogy with __rsub__ and __rdiv__, use original order:
# we get here from `other + self`.
return np.add(other, self)
| 6d77c591c59b5678f14ae5af2127eebb7d2415bc | 7 | core.py | 30 | ENH: Adding __array_ufunc__ capability to MaskedArrays.
This enables any ufunc numpy operations that are called on a
MaskedArray to use the masked version of that function automatically
without needing to resort to np.ma.func() calls. | 38,785 | 0 | 52 | 17 | 23 | 160,889 | 24 | numpy | 5 | numpy/ma/core.py | Python | 2 | {
"docstring": "\n Add other to self, and return a new masked array.\n\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | https://github.com/numpy/numpy.git | |
6 | __getattribute__ | def __getattribute__(self, attr):
# All module metadata must be garnered from __spec__ in order to avoid
# using mutated values.
# Stop triggering this method.
self.__class__ = types.ModuleType
# Get the original name to make sure no object substitution occurred
... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 14 | util.py | 249 | add python 3.10.4 for windows | 55,258 | 0 | 494 | 143 | 123 | 218,361 | 174 | XX-Net | 25 | python3.10.4/Lib/importlib/util.py | Python | 19 | {
"docstring": "Trigger the load of the module and return the attribute.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 8
} | https://github.com/XX-net/XX-Net.git | |
2 | _reset_build_compile_trackers | def _reset_build_compile_trackers(model):
# Reset build state
model.built = False
model.inputs = None
model.outputs = None
# Reset compile state
model._is_compiled = False # pylint:disable=protected-access
if not tf.compat.v1.executing_eagerly_outside_functions():
model._v1_com... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | @keras_export(
"keras.__internal__.models.in_place_subclassed_model_state_restoration",
v1=[],
) | 10 | cloning.py | 103 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,325 | 1 | 76 | 48 | 24 | 275,169 | 37 | keras | 13 | keras/models/cloning.py | Python | 8 | {
"docstring": "Reset state trackers for model.\n\n Note that we do not actually zero out attributes such as optimizer,\n but instead rely on the expectation that all of the attrs will be\n over-written on calling build/compile/etc. This is somewhat fragile,\n insofar as we check elsewhere for the presenc... | https://github.com/keras-team/keras.git |
5 | compress | def compress(self):
modules_to_compress = self.get_modules_to_compress()
for layer, config in modules_to_compress:
module = layer.module
if "weight" in config.get("quant_types", []):
scale, zero_point = self.calculate_qparams(layer.name, 'weight')
... | d68c786ff81bad19c04619d6a999ff34aaa724e7 | 14 | observer_quantizer.py | 421 | [Compression] remove pruning v1 & refactor directory (#5228) | 24,988 | 0 | 519 | 251 | 46 | 113,648 | 73 | nni | 25 | nni/compression/pytorch/quantization/observer_quantizer.py | Python | 26 | {
"docstring": "\n Calculate quantization information of each tensor. Note that the inference of\n the compressed model will no longer update the corresponding. Instead, the quantization\n process will be simulated, which is used to test the accuracy of the quantization.\n ",
"language":... | https://github.com/microsoft/nni.git | |
1 | change_logging | def change_logging(request):
current_request.set(request)
webhooks_queue.set([])
# Connect our receivers to the post_save and post_delete signals.
post_save.connect(handle_changed_object, dispatch_uid='handle_changed_object')
m2m_changed.connect(handle_changed_object, dispatch_uid='handle_chan... | cd8943144bec52ff608ddad3db5d0155832a4a23 | 9 | context_managers.py | 215 | Use context vars instead of thread-local storage for change logging | 78,284 | 0 | 122 | 121 | 49 | 266,089 | 62 | netbox | 17 | netbox/extras/context_managers.py | Python | 15 | {
"docstring": "\n Enable change logging by connecting the appropriate signals to their receivers before code is run, and\n disconnecting them afterward.\n\n :param request: WSGIRequest object with a unique `id` set\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 28,
"vocab_size": 28
} | https://github.com/netbox-community/netbox.git | |
1 | upgrade | def upgrade():
with op.batch_alter_table("task_instance", schema=None) as batch_op:
batch_op.alter_column("pool_slots", existing_type=sa.Integer, nullable=False, server_default='1')
| 66c342d033bd3cb959b4dc4e7e4b8aad597aab63 | 11 | 8646922c8a04_change_default_pool_slots_to_1.py | 70 | Support generating SQL script for upgrades (#20962)
This PR attempts to add support for generating sql scripts for upgrade.
Example command:
`airflow db upgrade --revision-range e8d98d8ss99:78daisdu38d`
`airflow db upgrade --range 2.0.0:2.2.3` | 8,439 | 0 | 24 | 39 | 11 | 45,007 | 11 | airflow | 11 | airflow/migrations/versions/8646922c8a04_change_default_pool_slots_to_1.py | Python | 3 | {
"docstring": "Change default pool_slots to 1 and make pool_slots not nullable",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | https://github.com/apache/airflow.git | |
3 | gca | def gca(self, **kwargs):
if kwargs:
_api.warn_deprecated(
"3.4",
message="Calling gca() with keyword arguments was deprecated "
"in Matplotlib %(since)s. Starting %(removal)s, gca() will "
"take no keyword arguments. The gca() ... | 8669c4636ce3b6ac6f4905c365ab41685186da56 | 12 | figure.py | 97 | Rewrite AxesStack independently of cbook.Stack.
AxesStack is fairly independent from cbook.Stack: cbook.Stack handles
the forward/back/home buttons of the navbar, and therefore additionally
maintains a movable "cursor" in the stack; AxesStack, on the other hand,
needs to keep track both of "original" order and of "gca... | 22,547 | 0 | 238 | 52 | 59 | 107,009 | 79 | matplotlib | 10 | lib/matplotlib/figure.py | Python | 13 | {
"docstring": "\n Get the current Axes.\n\n If there is currently no Axes on this Figure, a new one is created\n using `.Figure.add_subplot`. (To test whether there is currently an\n Axes on a Figure, check whether ``figure.axes`` is empty. To test\n whether there is currently a ... | https://github.com/matplotlib/matplotlib.git | |
2 | run_report | def run_report(job_result, *args, **kwargs):
module_name, report_name = job_result.name.split('.', 1)
report = get_report(module_name, report_name)
try:
report.run(job_result)
except Exception as e:
print(e)
job_result.set_status(JobResultStatusChoices.STATUS_ERRORED)
... | f13a00b2dd33bffc3048c861b494096df457f212 | 13 | reports.py | 127 | Save old JobResults | 77,780 | 0 | 78 | 108 | 26 | 264,668 | 28 | netbox | 20 | netbox/extras/reports.py | Python | 17 | {
"docstring": "\n Helper function to call the run method on a report. This is needed to get around the inability to pickle an instance\n method for queueing into the background processor.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 29,
"vocab_size": 24
} | https://github.com/netbox-community/netbox.git | |
4 | location | def location(self) -> str:
location = ""
if self.storage:
location = (
self.storage.basepath + "/"
if not self.storage.basepath.endswith("/")
else ""
)
if self.path:
location += self.path
return ... | 0a59ec9279d929fe6a7199ff7ff7c0b58cffa100 | 15 | deployments.py | 94 | Add location as a computed property of deployments | 11,802 | 0 | 141 | 53 | 21 | 58,708 | 28 | prefect | 7 | src/prefect/deployments.py | Python | 17 | {
"docstring": "\n The 'location' that this deployment points to is given by `path` alone\n in the case of no remote storage, and otherwise by `storage.basepath / path`.\n\n The underlying flow entrypoint is interpreted relative to this location.\n ",
"language": "en",
"n_whitespaces":... | https://github.com/PrefectHQ/prefect.git | |
1 | test_dispatch_key_raises_when_public_and_private_handlers | async def test_dispatch_key_raises_when_public_and_private_handlers():
widget = DuplicateHandlersWidget()
with pytest.raises(DuplicateKeyHandlers):
await widget.dispatch_key(Key(widget, key="x", char="x"))
assert widget.called_by is None
| 17bc375e080c30d8754dfeccf44f9a607e041e1b | 14 | test_message_pump.py | 77 | Support for key aliases, key handling tests | 44,966 | 0 | 35 | 42 | 16 | 185,308 | 16 | textual | 11 | tests/test_message_pump.py | Python | 5 | {
"docstring": "When both a public and private handler exists for one key, we fail fast via exception.",
"language": "en",
"n_whitespaces": 15,
"n_words": 16,
"vocab_size": 16
} | https://github.com/Textualize/textual.git | |
1 | test_unschedule_view_post | def test_unschedule_view_post(self):
# Post to the unschedule page
response = self.client.post(
reverse(
"wagtailadmin_pages:revisions_unschedule",
args=(self.christmas_event.id, self.this_christmas_revision.id),
)
)
# Sh... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 14 | test_revisions.py | 167 | Reformat with black | 15,720 | 0 | 269 | 103 | 40 | 71,728 | 56 | wagtail | 19 | wagtail/admin/tests/pages/test_revisions.py | Python | 19 | {
"docstring": "\n This posts to the unschedule view and checks that the revision was unscheduled\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 13,
"vocab_size": 12
} | https://github.com/wagtail/wagtail.git | |
1 | _wrap_call_and_conditional_losses | def _wrap_call_and_conditional_losses(layer):
# Create function that generates both outputs and losses
layer_call = _get_layer_call_method(layer)
| 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 8 | save_impl.py | 24 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,567 | 0 | 23 | 21 | 14 | 276,118 | 14 | keras | 4 | keras/saving/saved_model/save_impl.py | Python | 4 | {
"docstring": "Wraps call function that returns a tuple of (outputs, losses).\n\n The losses returned are conditional on the inputs passed to the call function.\n Unconditional losses (e.g. weight regularizeration) are wrapped separately.\n\n Args:\n layer: a Keras layer object\n\n Returns:\n p... | https://github.com/keras-team/keras.git | |
1 | _get_no_autofield_sequence_name | def _get_no_autofield_sequence_name(self, table):
name_length = self.max_name_length() - 3
return "%s_SQ" % truncate_name(strip_quotes(table), name_length).upper()
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 12 | operations.py | 57 | Refs #33476 -- Reformatted code with Black. | 51,012 | 0 | 34 | 33 | 13 | 205,087 | 13 | django | 8 | django/db/backends/oracle/operations.py | Python | 3 | {
"docstring": "\n Manually created sequence name to keep backward compatibility for\n AutoFields that aren't Oracle identity columns.\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 15
} | https://github.com/django/django.git | |
6 | _unify_values | def _unify_values(self, section, vars):
sectiondict = {}
try:
sectiondict = self._sections[section]
except KeyError:
if section != self.default_section:
raise NoSectionError(section) from None
# Update with the entry specific variables
... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 14 | configparser.py | 147 | add python 3.10.4 for windows | 56,460 | 0 | 206 | 93 | 42 | 221,655 | 53 | XX-Net | 17 | python3.10.4/Lib/configparser.py | Python | 14 | {
"docstring": "Create a sequence of lookups with 'vars' taking priority over\n the 'section' which takes priority over the DEFAULTSECT.\n\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 18,
"vocab_size": 15
} | https://github.com/XX-net/XX-Net.git | |
5 | dag_state | def dag_state(args, session=NEW_SESSION):
dag = DagModel.get_dagmodel(args.dag_id, session=session)
if not dag:
raise SystemExit(f"DAG: {args.dag_id} does not exist in 'dag' table")
dr = session.query(DagRun).filter_by(dag_id=args.dag_id, execution_date=args.execution_date).one_or_none()
o... | b1ad017cee66f5e042144cc7baa2d44b23b47c4f | @cli_utils.action_cli | 12 | dag_command.py | 179 | pydocstyle D202 added (#24221) | 7,780 | 1 | 84 | 101 | 36 | 42,996 | 47 | airflow | 25 | airflow/cli/commands/dag_command.py | Python | 10 | {
"docstring": "\n Returns the state (and conf if exists) of a DagRun at the command line.\n >>> airflow dags state tutorial 2015-01-01T00:00:00.000000\n running\n >>> airflow dags state a_dag_with_conf_passed 2015-01-01T00:00:00.000000\n failed, {\"name\": \"bob\", \"age\": \"42\"}\n ",
"language... | https://github.com/apache/airflow.git |
1 | _search | def _search(self, check_return_type=True) -> Union[SourceReadList, DestinationReadList, ConnectionReadList]:
return self._search_fn(self.api_instance, self.search_payload, _check_return_type=check_return_type)
| 56bf982cb96f831fe04f5e44a92ee4a669b9e16a | 8 | resources.py | 53 | 🐙 octavia-cli: `apply` connections (#10881) | 641 | 0 | 25 | 36 | 11 | 4,247 | 11 | airbyte | 11 | octavia-cli/octavia_cli/apply/resources.py | Python | 7 | {
"docstring": "Run search of a resources on the remote Airbyte instance.\n\n Returns:\n Union[SourceReadList, DestinationReadList, ConnectionReadList]: Search results\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 16,
"vocab_size": 16
} | https://github.com/airbytehq/airbyte.git | |
4 | _resize | def _resize(self, image, shorter=800, longer=1333, size_divisor=32, resample=Image.BICUBIC):
if not isinstance(image, Image.Image):
image = self.to_pil_image(image)
w, h = image.size
min_size = shorter
max_size = longer
scale = min_size / min(w, h)
i... | ac227093e41cecb07c7e0f2fc9a504850907bd06 | 11 | feature_extraction_vilt.py | 266 | 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 dev... | 6,252 | 0 | 247 | 169 | 52 | 34,302 | 97 | transformers | 23 | src/transformers/models/vilt/feature_extraction_vilt.py | Python | 18 | {
"docstring": "\n Resizes the shorter edge of `image` to `shorter` and limits the longer edge to under `longer`, while preserving\n the aspect ratio. Also makes sure that both the height and width can be divided by `size_divisor`.\n\n Based on original implementation:\n https://github.com... | https://github.com/huggingface/transformers.git | |
1 | test_instance_url_mismatch | def test_instance_url_mismatch(self):
self.plugin.set_option("instance_url", "https://hellboy.atlassian.net", self.project)
group = self.create_group(message="Hello world", culprit="foo.bar")
plugin_issue = GroupMeta.objects.create(
key=f"{self.plugin.slug}:tid", group_id=gr... | f5e5a3b1ed97383e0699aff9eb0363e9eb5db479 | 14 | test_integration.py | 237 | feat(Jira): Plugin issue migration endpoint (#37577)
* feat(jira): Plugin issue migration endpoint | 19,082 | 0 | 169 | 132 | 27 | 94,414 | 33 | sentry | 28 | tests/sentry/integrations/jira/test_integration.py | Python | 16 | {
"docstring": "Test that if the plugin's instance URL does not match the integration's base URL, we don't migrate the issues",
"language": "en",
"n_whitespaces": 18,
"n_words": 19,
"vocab_size": 17
} | https://github.com/getsentry/sentry.git | |
1 | create_experiment | def create_experiment(workspace, experiment_name):
logger.debug("create: experiment_name {}".format(experiment_name))
exp = Experiment(workspace=workspace, name=experiment_name)
return exp
| f1b06e2f758b5b4a965f7bf428d006621d19c0b0 | 10 | submit_azureml_pytest.py | 56 | changed folder structure for aml tests | 7,141 | 0 | 24 | 33 | 11 | 39,219 | 12 | recommenders | 9 | tests/ci/aml_tests_old/submit_azureml_pytest.py | Python | 4 | {
"docstring": "\n AzureML requires an experiment as a container of trials.\n This will either create a new experiment or use an\n existing one.\n\n Args:\n workspace (str) : name of AzureML workspace\n experiment_name (str) : AzureML experiment name\n Return:\n exp - AzureML exper... | https://github.com/microsoft/recommenders.git | |
3 | test_localtaskjob_essential_attr | def test_localtaskjob_essential_attr(self, dag_maker):
with dag_maker('test_localtaskjob_essential_attr'):
op1 = EmptyOperator(task_id='op1')
dr = dag_maker.create_dagrun()
ti = dr.get_task_instance(task_id=op1.task_id)
job1 = LocalTaskJob(task_instance=ti, ignore... | 49e336ae0302b386a2f47269a6d13988382d975f | 12 | test_local_task_job.py | 184 | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | 9,123 | 0 | 129 | 111 | 36 | 47,474 | 48 | airflow | 23 | tests/jobs/test_local_task_job.py | Python | 11 | {
"docstring": "\n Check whether essential attributes\n of LocalTaskJob can be assigned with\n proper values without intervention\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 14,
"vocab_size": 14
} | https://github.com/apache/airflow.git | |
1 | decode | def decode(s):
return urllib.parse.parse_qsl(s, keep_blank_values=True, errors="surrogateescape")
| b3587b52b25077f68116b9852b041d33e7fc6601 | 9 | url.py | 39 | make it black! | 73,725 | 0 | 12 | 23 | 6 | 251,414 | 6 | mitmproxy | 7 | mitmproxy/net/http/url.py | Python | 2 | {
"docstring": "\n Takes a urlencoded string and returns a list of surrogate-escaped (key, value) tuples.\n ",
"language": "en",
"n_whitespaces": 20,
"n_words": 13,
"vocab_size": 12
} | https://github.com/mitmproxy/mitmproxy.git | |
1 | test_collapse_event | def test_collapse_event(self) -> None:
client = self.get_client_descriptor()
queue = client.event_queue
queue.push({"type": "restart", "server_generation": 1, "timestamp": "1"})
# Verify the server_generation event is stored as a virtual event
self.assertEqual(
... | b0ce4f1bce8031881addecb1e86073483517f392 | 12 | test_event_queue.py | 414 | docs: Fix many spelling mistakes.
Signed-off-by: Anders Kaseorg <anders@zulip.com> | 17,634 | 0 | 389 | 223 | 64 | 83,239 | 121 | zulip | 13 | zerver/tests/test_event_queue.py | Python | 34 | {
"docstring": "\n This mostly focuses on the internals of\n how we store \"virtual_events\" that we\n can collapse if subsequent events are\n of the same form. See the code in\n EventQueue.push for more context.\n ",
"language": "en",
"n_whitespaces": 75,
"n_words": 3... | https://github.com/zulip/zulip.git | |
3 | test_get_primary_key_column | def test_get_primary_key_column(self):
testable_column_strings = (
("id", "id"),
("[id]", "id"),
("`id`", "id"),
('"id"', "id"),
("[id col]", "id col"),
("`id col`", "id col"),
('"id col"', "id col"),
)
... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 17 | test_introspection.py | 215 | Refs #33476 -- Reformatted code with Black. | 49,992 | 0 | 390 | 119 | 52 | 201,772 | 64 | django | 14 | tests/backends/sqlite/test_introspection.py | Python | 22 | {
"docstring": "\n Get the primary key column regardless of whether or not it has\n quotation.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 13,
"vocab_size": 13
} | https://github.com/django/django.git | |
2 | print_help | def print_help(self):
colored = self.ticker and self.selected_date
help_text = f
print(help_text)
| 5a5c7193db3cf15ee7bb881ba912b8289aa83a80 | 10 | options_controller.py | 140 | Volatility surface (#1176)
* Add a 3D volatility surface from yfinance data
* Update _index.md
* other tests | 83,744 | 0 | 39 | 23 | 10 | 281,411 | 11 | OpenBBTerminal | 10 | gamestonk_terminal/stocks/options/options_controller.py | Python | 30 | {
"docstring": "Print help.\n unu show unusual options activity [fdscanner.com]\n calc basic call/put PnL calculator\n\n load load new ticker\n exp see and set expiration dates\n\nTicker: {self.ticker or None}\nExpiry: {self.selected_date or None}\n{\"\" if self.ticke... | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
2 | list_installed_files | def list_installed_files(self):
for result in self._get_records():
yield result
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 8 | database.py | 31 | upd; format | 12,755 | 0 | 33 | 17 | 7 | 61,930 | 8 | transferlearning | 4 | .venv/lib/python3.8/site-packages/pip/_vendor/distlib/database.py | Python | 3 | {
"docstring": "\n Iterates over the ``RECORD`` entries and returns a tuple\n ``(path, hash, size)`` for each line.\n\n :returns: iterator of (path, hash, size)\n ",
"language": "en",
"n_whitespaces": 50,
"n_words": 21,
"vocab_size": 20
} | https://github.com/jindongwang/transferlearning.git | |
2 | test_dataset | def test_dataset(ray_start_4_cpus, use_local):
model_creator = mlp_identity.model_creator
optimizer_creator = mlp_identity.optimizer_creator
dataset_creator = mlp_identity.dataset_creator
DatasetOperator = TrainingOperator.from_creators(
model_creator=model_creator,
optimizer_crea... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | @pytest.mark.parametrize("use_local", [True, False]) | 13 | test_torch_2.py | 216 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,963 | 1 | 141 | 130 | 41 | 133,242 | 51 | ray | 31 | python/ray/util/sgd/tests/test_torch_2.py | Python | 21 | {
"docstring": "\n This test tries training the mlp_identity example. We check the accuracy of\n the model as an all inclusive way of ensuring that we are properly sharding\n and iterating over the entire dataset (instead of repeating the first set\n of points for example).\n ",
"language": "en",
"... | https://github.com/ray-project/ray.git |
4 | _is_current | def _is_current(self, file_path, zip_path):
timestamp, size = self._get_date_and_size(self.zipinfo[zip_path])
if not os.path.isfile(file_path):
return False
stat = os.stat(file_path)
if stat.st_size != size or stat.st_mtime != timestamp:
return False
... | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 11 | __init__.py | 152 | upd; format | 13,147 | 0 | 143 | 92 | 36 | 63,102 | 47 | transferlearning | 21 | .venv/lib/python3.8/site-packages/pip/_vendor/pkg_resources/__init__.py | Python | 11 | {
"docstring": "\n Return True if the file_path is current for this zip_path\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 10
} | https://github.com/jindongwang/transferlearning.git | |
4 | load | def load(self):
# Try to scan config file
model_config_fpaths = list(self.model_fpath.parent.rglob("*.json"))
if len(model_config_fpaths)>0 and model_config_fpaths[0].exists():
with model_config_fpaths[0].open("r", encoding="utf-8") as f:
hparams.loadJson(json.load(f)... | 0536874dec68e68969502ce1774168552727fa17 | 15 | inference.py | 335 | Add config file for pretrained | 38,850 | 0 | 535 | 213 | 49 | 160,998 | 52 | MockingBird | 50 | synthesizer/inference.py | Python | 26 | {
"docstring": "\n Instantiates and loads the model given the weights file that was passed in the constructor.\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 15,
"vocab_size": 13
} | https://github.com/babysor/MockingBird.git | |
4 | paste | def paste(self, im, box=None):
if box is not None:
warnings.warn(
"The box parameter is deprecated and will be removed in Pillow 10 "
"(2023-07-01).",
DeprecationWarning,
)
# convert to blittable
im.load()
... | a724be66bef4b692994e5defa22ba3f1b2a1f771 | 12 | ImageTk.py | 154 | Deprecated PhotoImage.paste() box parameter | 69,895 | 0 | 217 | 92 | 50 | 242,703 | 62 | Pillow | 19 | src/PIL/ImageTk.py | Python | 15 | {
"docstring": "\n Paste a PIL image into the photo image. Note that this can\n be very slow if the photo image is displayed.\n\n :param im: A PIL image. The size must match the target region. If the\n mode does not match, the image is converted to the mode of\n ... | https://github.com/python-pillow/Pillow.git | |
1 | test_sensor_arrival_time_custom_timestamp | async def test_sensor_arrival_time_custom_timestamp(hass):
assert hass.states.get("sensor.google_travel_time").state == "27"
@pytest.mark.usefixtures("mock_update") | beb30a1ff199596163c655e8ae745a0f1649b78a | @pytest.mark.usefixtures("mock_update") | 10 | test_sensor.py | 55 | Add google_travel_time sensor tests (#66568)
Co-authored-by: Paulus Schoutsen <paulus@home-assistant.io> | 91,334 | 1 | 13 | 19 | 8 | 292,234 | 8 | core | 8 | tests/components/google_travel_time/test_sensor.py | Python | 2 | {
"docstring": "Test that sensor works for arrival time with a custom timestamp.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/home-assistant/core.git |
3 | col | def col (loc, strg):
s = strg
return 1 if 0 < loc < len(s) and s[loc-1] == '\n' else loc - s.rfind("\n", 0, loc)
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 10 | pyparsing.py | 72 | upd; format | 13,225 | 0 | 34 | 44 | 23 | 63,273 | 25 | transferlearning | 6 | .venv/lib/python3.8/site-packages/pip/_vendor/pyparsing.py | Python | 3 | {
"docstring": "Returns current column within a string, counting newlines as line separators.\n The first column is number 1.\n\n Note: the default parsing behavior is to expand tabs in the input string\n before starting the parsing process. See\n :class:`ParserElement.parseString` for more\n information o... | https://github.com/jindongwang/transferlearning.git | |
1 | ensure_future | def ensure_future(coro_or_future, *, loop=None):
return _ensure_future(coro_or_future, loop=loop)
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 8 | tasks.py | 34 | add python 3.10.4 for windows | 56,137 | 0 | 13 | 21 | 7 | 220,829 | 7 | XX-Net | 4 | python3.10.4/Lib/asyncio/tasks.py | Python | 2 | {
"docstring": "Wrap a coroutine or an awaitable in a future.\n\n If the argument is a Future, it is returned directly.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 19,
"vocab_size": 16
} | https://github.com/XX-net/XX-Net.git | |
5 | _discover_secrets_backends | def _discover_secrets_backends(self) -> None:
for provider_package, provider in self._provider_dict.items():
if provider.data.get("secrets-backends"):
for secrets_backends_class_name in provider.data["secrets-backends"]:
if _sanity_check(provider_package,... | b5a786b38148295c492da8ab731d5e2f6f86ccf7 | 16 | providers_manager.py | 97 | Suppress import errors for providers from sources (#22579)
When we are running airflow locally with providers installed from sources, often many providers will be discovered which we haven't installed the deps for. This generally results in a very large amount of traceback logging, which has a very negative effect on... | 8,932 | 0 | 102 | 59 | 17 | 46,604 | 20 | airflow | 12 | airflow/providers_manager.py | Python | 7 | {
"docstring": "Retrieves all secrets backends defined in the providers",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/apache/airflow.git | |
1 | test_sends_note_notification | def test_sends_note_notification(self):
# leave a comment
url = f"/api/0/issues/{self.group.id}/comments/"
with self.tasks():
response = self.client.post(url, format="json", data={"text": "blah blah"})
assert response.status_code == 201, response.content
ms... | 1730c481f1a8a71446326fa1ff72e10663016385 | 14 | test_notifications.py | 271 | fix(notifications): Use `metrics_key` (#34572) | 19,673 | 0 | 274 | 122 | 53 | 99,595 | 86 | sentry | 26 | tests/sentry/notifications/test_notifications.py | Python | 20 | {
"docstring": "\n Test that an email AND Slack notification are sent with\n the expected values when a comment is created on an issue.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 20
} | https://github.com/getsentry/sentry.git | |
2 | connect | def connect(self) -> HandlerStatusResponse:
url = self.connection_args.get('url')
try:
ckan = rc(url)
self.is_connected = True
self.ckan = ckan
except Exception as e:
return HandlerStatusResponse(False, f'Failed to connect to CKAN: {e}')
... | 75686f43be1d82794e50277acefda517eced0b6c | 12 | ckan_handler.py | 105 | Add CKAN Handler for MindsDB | 25,464 | 0 | 120 | 59 | 26 | 115,450 | 34 | mindsdb | 12 | mindsdb/integrations/handlers/ckan_handler/ckan_handler.py | Python | 13 | {
"docstring": "\n Handles the connection to a CKAN remote portal instance.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 9
} | https://github.com/mindsdb/mindsdb.git | |
3 | unbatch | def unbatch(batches_struct):
flat_batches = tree.flatten(batches_struct)
out = []
for batch_pos in range(len(flat_batches[0])):
out.append(
tree.unflatten_as(
batches_struct,
[flat_batches[i][batch_pos] for i in range(len(flat_batches))],
... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 17 | space_utils.py | 104 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 33,102 | 0 | 105 | 66 | 19 | 144,060 | 24 | ray | 12 | rllib/utils/spaces/space_utils.py | Python | 11 | {
"docstring": "Converts input from (nested) struct of batches to batch of structs.\n\n Input: Struct of different batches (each batch has size=3):\n {\"a\": [1, 2, 3], \"b\": ([4, 5, 6], [7.0, 8.0, 9.0])}\n Output: Batch (list) of structs (each of these structs representing a\n single action):\n ... | https://github.com/ray-project/ray.git | |
8 | sample | def sample(self, n_samples=1):
check_is_fitted(self)
if n_samples < 1:
raise ValueError(
"Invalid value for 'n_samples': %d . The sampling requires at "
"least one sample." % (self.n_components)
)
_, n_features = self.means_.shap... | 254ea8c453cd2100ade07644648f1f00392611a6 | 18 | _base.py | 372 | ENH Replaced RandomState with Generator compatible calls (#22271) | 75,335 | 0 | 657 | 245 | 73 | 258,624 | 118 | scikit-learn | 35 | sklearn/mixture/_base.py | Python | 41 | {
"docstring": "Generate random samples from the fitted Gaussian distribution.\n\n Parameters\n ----------\n n_samples : int, default=1\n Number of samples to generate.\n\n Returns\n -------\n X : array, shape (n_samples, n_features)\n Randomly generated... | https://github.com/scikit-learn/scikit-learn.git | |
1 | test_adapter_recovery | async def test_adapter_recovery(hass, one_adapter):
called_start = 0
called_stop = 0
_callback = None
mock_discovered = []
| 0e2ebfe5c45716250280186234123f170e3bd08c | 7 | test_scanner.py | 38 | Move bluetooth watchdog into the scanner base class (#83888) | 96,435 | 0 | 31 | 221 | 12 | 297,466 | 16 | core | 7 | tests/components/bluetooth/test_scanner.py | Python | 50 | {
"docstring": "Test we can recover when the adapter stops responding.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/home-assistant/core.git | |
2 | test_ohe_infrequent_two_levels_user_cats_one_frequent | def test_ohe_infrequent_two_levels_user_cats_one_frequent(kwargs):
X_train = np.array([["a"] * 5 + ["e"] * 30], dtype=object).T
ohe = OneHotEncoder(
categories=[["c", "d", "a", "b"]],
sparse=False,
handle_unknown="infrequent_if_exist",
**kwargs,
).fit(X_train)
X_te... | 7f0006c8aad1a09621ad19c3db19c3ff0555a183 | 14 | test_encoders.py | 324 | ENH Adds infrequent categories to OneHotEncoder (#16018)
* ENH Completely adds infrequent categories
* STY Linting
* STY Linting
* DOC Improves wording
* DOC Lint
* BUG Fixes
* CLN Address comments
* CLN Address comments
* DOC Uses math to description float min_frequency
* DOC Adds comment r... | 75,663 | 0 | 146 | 201 | 54 | 259,229 | 68 | scikit-learn | 22 | sklearn/preprocessing/tests/test_encoders.py | Python | 17 | {
"docstring": "'a' is the only frequent category, all other categories are infrequent.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/scikit-learn/scikit-learn.git | |
1 | test_decrease_stock_multiple_lines_deallocate_stock_raises_error | def test_decrease_stock_multiple_lines_deallocate_stock_raises_error(order_with_lines):
# given
order_line_1 = order_with_lines.lines.first()
order_line_2 = order_with_lines.lines.last()
allocation_1 = order_line_1.allocations.first()
allocation_2 = order_line_2.allocations.first()
stock... | c052f59016d82568a675e2c202ea1363f9e355ff | 12 | test_stock_management.py | 399 | Fix incorrect stock allocation (#8963)
* Fix incorrect stock allocation
* Drop unused restock_order_lines order utils | 4,910 | 0 | 417 | 251 | 70 | 25,599 | 117 | saleor | 37 | saleor/warehouse/tests/test_stock_management.py | Python | 49 | {
"docstring": "Ensure that when some of the lines raise an error during the deallocation\n quantity allocated value for all allocation will be updated.",
"language": "en",
"n_whitespaces": 24,
"n_words": 22,
"vocab_size": 21
} | https://github.com/saleor/saleor.git | |
27 | verify_local_collection | def verify_local_collection(local_collection, remote_collection, artifacts_manager):
# type: (Candidate, Candidate | None, ConcreteArtifactsManager) -> CollectionVerifyResult
result = CollectionVerifyResult(local_collection.fqcn)
b_collection_path = to_bytes(local_collection.src, errors='surrogate_or_... | b439e41a915ccec0ccbabecc966919ea406db74e | 17 | __init__.py | 1,307 | expand ansible-doc coverage (#74963)
* Expand ansible-doc to tests/filters and fix existing issues
enable filter/test docs if in single file or companion yaml
add docs for several filters/tests plugins
allow .yml companion for docs for other plugins, must be colocated
verify plugins are valid (not module... | 78,753 | 0 | 1,652 | 793 | 300 | 267,135 | 550 | ansible | 79 | lib/ansible/galaxy/collection/__init__.py | Python | 126 | {
"docstring": "Verify integrity of the locally installed collection.\n\n :param local_collection: Collection being checked.\n :param remote_collection: Upstream collection (optional, if None, only verify local artifact)\n :param artifacts_manager: Artifacts manager.\n :return: a collection verify result ... | https://github.com/ansible/ansible.git | |
6 | traverse_by | def traverse_by(self, fixers, traversal):
if not fixers:
return
for node in traversal:
for fixer in fixers[node.type]:
results = fixer.match(node)
if results:
new = fixer.transform(node, results)
if ... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 15 | refactor.py | 104 | add python 3.10.4 for windows | 55,531 | 0 | 191 | 66 | 24 | 218,888 | 34 | XX-Net | 12 | python3.10.4/Lib/lib2to3/refactor.py | Python | 11 | {
"docstring": "Traverse an AST, applying a set of fixers to each node.\n\n This is a helper method for refactor_tree().\n\n Args:\n fixers: a list of fixer instances.\n traversal: a generator that yields AST nodes.\n\n Returns:\n None\n ",
"language": "e... | https://github.com/XX-net/XX-Net.git | |
3 | test_appo_compilation_use_kl_loss | def test_appo_compilation_use_kl_loss(self):
config = ppo.appo.DEFAULT_CONFIG.copy()
config["num_workers"] = 1
config["use_kl_loss"] = True
num_iterations = 2
for _ in framework_iterator(config, with_eager_tracing=True):
trainer = ppo.APPOTrainer(config=conf... | 8ebc50f844f42e283f125792d630ea6d0a2a7000 | 12 | test_appo.py | 152 | [RLlib] Issue 21334: Fix APPO when kl_loss is enabled. (#21855) | 29,010 | 0 | 165 | 90 | 27 | 129,737 | 34 | ray | 22 | rllib/agents/ppo/tests/test_appo.py | Python | 13 | {
"docstring": "Test whether an APPOTrainer can be built with kl_loss enabled.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/ray-project/ray.git | |
2 | intercept_unary_unary | async def intercept_unary_unary(self, continuation, client_call_details, request):
if context.get_value(_SUPPRESS_INSTRUMENTATION_KEY):
return await continuation(client_call_details, request)
method = client_call_details.method.decode("utf-8")
with self._start_span(
... | 107631e955b21db8a4ddb3bee02130de3650d032 | 11 | _aio_client.py | 143 | feat(instrumentation): add OpenTelemetry tracing and metrics with basic configurations (#5175) | 2,579 | 0 | 187 | 91 | 32 | 13,243 | 38 | jina | 21 | jina/serve/instrumentation/_aio_client.py | Python | 15 | {
"docstring": "Intercepts a unary-unary invocation asynchronously.\n\n :param continuation: A coroutine that proceeds with the invocation by executing\n the next interceptor in the chain or invoking the actual RPC on the\n underlying Channel. It is the interceptor's responsibility to cal... | https://github.com/jina-ai/jina.git | |
7 | from_current_timezone | def from_current_timezone(value):
if settings.USE_TZ and value is not None and timezone.is_naive(value):
current_timezone = timezone.get_current_timezone()
try:
if not timezone._is_pytz_zone(
current_timezone
) and timezone._datetime_ambiguous_or_imaginar... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 16 | utils.py | 170 | Refs #33476 -- Reformatted code with Black. | 51,326 | 0 | 300 | 100 | 54 | 206,016 | 68 | django | 18 | django/forms/utils.py | Python | 20 | {
"docstring": "\n When time zone support is enabled, convert naive datetimes\n entered in the current time zone to aware datetimes.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 18,
"vocab_size": 16
} | https://github.com/django/django.git | |
1 | active | def active(self) -> Optional[Scope]:
ctx = current_context()
return ctx.scope
| 6ad012ef89c966cbb3616c1be63d964db48d49ca | 8 | scopecontextmanager.py | 35 | More type hints for `synapse.logging` (#13103)
Completes type hints for synapse.logging.scopecontextmanager and (partially)
for synapse.logging.opentracing. | 72,415 | 0 | 30 | 20 | 9 | 248,680 | 9 | synapse | 7 | synapse/logging/scopecontextmanager.py | Python | 13 | {
"docstring": "\n Returns the currently active Scope which can be used to access the\n currently active Scope.span.\n If there is a non-null Scope, its wrapped Span\n becomes an implicit parent of any newly-created Span at\n Tracer.start_active_span() time.\n\n Return:\n ... | https://github.com/matrix-org/synapse.git | |
1 | isocalendar | def isocalendar(self):
return self._get_values().isocalendar().set_index(self._parent.index)
| 5531195f6f0d87817a704b288008809a3c98a304 | 11 | accessors.py | 44 | fix-ci-isocalendar (#46690) | 39,746 | 0 | 18 | 25 | 4 | 165,949 | 4 | pandas | 6 | pandas/core/indexes/accessors.py | Python | 2 | {
"docstring": "\n Calculate year, week, and day according to the ISO 8601 standard.\n\n .. versionadded:: 1.1.0\n\n Returns\n -------\n DataFrame\n With columns year, week and day.\n\n See Also\n --------\n Timestamp.isocalendar : Function return a 3... | https://github.com/pandas-dev/pandas.git | |
9 | update | def update(self, user=None, next_task=None):
if self.status != self.STATUS_IN_PROGRESS:
# Updating a completed or cancelled workflow should have no effect
return
try:
current_status = self.current_task_state.status
except AttributeError:
c... | d10f15e55806c6944827d801cd9c2d53f5da4186 | 17 | __init__.py | 275 | Reformat with black | 16,154 | 0 | 630 | 168 | 71 | 73,874 | 129 | wagtail | 22 | wagtail/core/models/__init__.py | Python | 29 | {
"docstring": "Checks the status of the current task, and progresses (or ends) the workflow if appropriate. If the workflow progresses,\n next_task will be used to start a specific task next if provided.",
"language": "en",
"n_whitespaces": 37,
"n_words": 31,
"vocab_size": 26
} | https://github.com/wagtail/wagtail.git | |
2 | new_name | def new_name(self, template="xxx_todo_changeme"):
name = template
while name in self.used_names:
name = template + str(next(self.numbers))
self.used_names.add(name)
return name
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 14 | fixer_base.py | 73 | add python 3.10.4 for windows | 55,411 | 0 | 64 | 43 | 13 | 218,598 | 18 | XX-Net | 9 | python3.10.4/Lib/lib2to3/fixer_base.py | Python | 6 | {
"docstring": "Return a string suitable for use as an identifier\n\n The new name is guaranteed not to conflict with other identifiers.\n ",
"language": "en",
"n_whitespaces": 34,
"n_words": 20,
"vocab_size": 20
} | https://github.com/XX-net/XX-Net.git | |
4 | getxmp | def getxmp(self):
for segment, content in self.applist:
if segment == "APP1":
marker, xmp_tags = content.rsplit(b"\x00", 1)
if marker == b"http://ns.adobe.com/xap/1.0/":
return self._getxmp(xmp_tags)
return {}
| 601c9d8515dba996af3f0b96d1a671619de37f10 | 13 | JpegImagePlugin.py | 83 | Fix return in docs | 69,830 | 0 | 105 | 49 | 21 | 242,323 | 24 | Pillow | 9 | src/PIL/JpegImagePlugin.py | Python | 7 | {
"docstring": "\n Returns a dictionary containing the XMP tags.\n Requires defusedxml to be installed.\n\n :returns: XMP tags in a dictionary.\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 18,
"vocab_size": 16
} | https://github.com/python-pillow/Pillow.git | |
1 | alias | def alias(self, *args, **kwargs):
self._not_support_combined_queries("alias")
return self._annotate(args, kwargs, select=False)
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 8 | query.py | 51 | Refs #33476 -- Reformatted code with Black. | 51,184 | 0 | 30 | 31 | 9 | 205,739 | 9 | django | 7 | django/db/models/query.py | Python | 3 | {
"docstring": "\n Return a query set with added aliases for extra data or aggregations.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 12,
"vocab_size": 12
} | https://github.com/django/django.git | |
2 | agg | def agg(self, agg):
assert isinstance(agg, str)
agg_exprs = OrderedDict()
for col in self.columns:
agg_exprs[col] = AggregateExpr(agg, self.ref(col))
return self.__constructor__(
columns=self.columns,
dtypes=self._dtypes_for_exprs(agg_exprs)... | e5b1888cd932909e49194d58035da34b210b91c4 | 13 | dataframe.py | 138 | FEAT-#4946: Replace OmniSci with HDK (#4947)
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>
Signed-off-by: Andrey Pavlenko <andrey.a.pavlenko@gmail.com> | 36,085 | 0 | 137 | 92 | 28 | 154,575 | 29 | modin | 18 | modin/experimental/core/execution/native/implementations/hdk_on_native/dataframe/dataframe.py | Python | 12 | {
"docstring": "\n Perform specified aggregation along columns.\n\n Parameters\n ----------\n agg : str\n Name of the aggregation function to perform.\n\n Returns\n -------\n HdkOnNativeDataframe\n New frame containing the result of aggregation.\n... | https://github.com/modin-project/modin.git | |
5 | get_feature_names_out | def get_feature_names_out(self, input_features=None):
powers = self.powers_
input_features = _check_feature_names_in(self, input_features)
feature_names = []
for row in powers:
inds = np.where(row)[0]
if len(inds):
name = " ".join(
... | 279388d9ed2ea83194dd45a2d78161be30b43aa7 | 16 | _polynomial.py | 176 | DOC Improve get_feature_names_out docstrings (#22718)
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com> | 75,579 | 0 | 258 | 111 | 41 | 259,120 | 51 | scikit-learn | 21 | sklearn/preprocessing/_polynomial.py | Python | 17 | {
"docstring": "Get output feature names for transformation.\n\n Parameters\n ----------\n input_features : array-like of str or None, default=None\n Input features.\n\n - If `input_features is None`, then `feature_names_in_` is\n used as feature names in. If `f... | https://github.com/scikit-learn/scikit-learn.git | |
1 | revert_challenge_config | def revert_challenge_config(self) -> None:
self.revert_temporary_config()
self.new_vhost = None
self.parser.load()
| 16aad35d31a887dab157f9d4f5e0fe9218d06064 | 8 | configurator.py | 45 | Fully type certbot-nginx module (#9124)
* Work in progress
* Fix type
* Work in progress
* Work in progress
* Work in progress
* Work in progress
* Work in progress
* Oups.
* Fix typing in UnspacedList
* Fix logic
* Finish typing
* List certbot-nginx as fully typed in tox
* Fix lint... | 45,497 | 0 | 37 | 25 | 9 | 186,581 | 9 | certbot | 6 | certbot-nginx/certbot_nginx/_internal/configurator.py | Python | 9 | {
"docstring": "Used to cleanup challenge configurations.\n\n :raises .errors.PluginError: If unable to revert the challenge config.\n\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 14,
"vocab_size": 12
} | https://github.com/certbot/certbot.git | |
7 | execute | def execute():
frappe.reload_doc("Accounts", "doctype", "Salary Component Account")
if frappe.db.has_column("Salary Component Account", "default_account"):
rename_field("Salary Component Account", "default_account", "account")
doctype_list = [
{"module": "HR", "doctype": "Employee Advance"},
{"module": "HR",... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 17 | updates_for_multi_currency_payroll.py | 773 | style: format code with black | 14,360 | 0 | 197 | 415 | 133 | 66,842 | 285 | erpnext | 24 | erpnext/patches/v13_0/updates_for_multi_currency_payroll.py | Python | 106 | {
"docstring": "\n\t\t\tupdate `tab{doctype}`\n\t\t\tset company = (select company from tabEmployee where name=`tab{doctype}`.employee)\n\t\tupdate `tab{doctype}` set currency = %s where company=%s\n\t\t\tupdate `tabPayroll Entry`\n\t\t\tset currency = %s,\n\t\t\t\texchange_rate = 1,\n\t\t\t\tpayroll_payable_account=... | https://github.com/frappe/erpnext.git | |
5 | get_libdir | def get_libdir(self):
# Module unavailable
if not self.available:
raise ValueError(f"Module {self.name} {self.version} is unavailable!")
# Module has no associated shared libraries
if not self.sharedlibs:
return None
for lib in self.sharedlibs:
... | 684bfac8adcf254fec5777f212c13eb62181f900 | 14 | gi.py | 143 | hooks: refactor GObject introspection (gi) hooks
The modules imported from gi.repository are marked as runtime
modules by their corresponding pre-safe-import-module hooks.
Therefore, their standard hooks are always loaded and executed,
regardless of whether the modue is actually importable or not.
In PyInstaller v5, ... | 77,455 | 0 | 156 | 64 | 37 | 263,831 | 48 | pyinstaller | 13 | PyInstaller/utils/hooks/gi.py | Python | 10 | {
"docstring": "\n Return the path to shared library used by the module. If no libraries are associated with the typelib, None is\n returned. If multiple library names are associated with the typelib, the path to the first resolved shared\n library is returned. Raises exception if module is unava... | https://github.com/pyinstaller/pyinstaller.git | |
2 | ratio | def ratio(self):
matches = sum(triple[-1] for triple in self.get_matching_blocks())
return _calculate_ratio(matches, len(self.a) + len(self.b))
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 11 | difflib.py | 70 | add python 3.10.4 for windows | 56,607 | 0 | 35 | 43 | 14 | 222,511 | 14 | XX-Net | 10 | python3.10.4/Lib/difflib.py | Python | 3 | {
"docstring": "Return a measure of the sequences' similarity (float in [0,1]).\n\n Where T is the total number of elements in both sequences, and\n M is the number of matches, this is 2.0*M / T.\n Note that this is 1 if the sequences are identical, and 0 if\n they have nothing in common.\... | https://github.com/XX-net/XX-Net.git | |
2 | _linear_eq_to_dict_inner | def _linear_eq_to_dict_inner(eqs, syms):
syms = set(syms)
eqsdict, ind = [], []
for eq in eqs:
c, eqdict = _lin_eq2dict(eq, syms)
eqsdict.append(eqdict)
ind.append(c)
return eqsdict, ind
| 041eeb41b6a083dd106a0e6316d6f07e2248cd61 | 10 | linsolve.py | 88 | linear_coeffs has nonstrict option | 49,076 | 0 | 61 | 54 | 21 | 198,995 | 25 | sympy | 11 | sympy/polys/matrices/linsolve.py | Python | 8 | {
"docstring": "Convert a system Expr/Eq equations into dict form, returning\n the coefficient dictionaries and a list of syms-independent terms\n from each expression in ``eqs```.\n\n Examples\n ========\n\n >>> from sympy.polys.matrices.linsolve import _linear_eq_to_dict_inner as F\n >>> from symp... | https://github.com/sympy/sympy.git | |
3 | construct_actor_groups | def construct_actor_groups(actors):
actor_groups = _group_actors_by_python_class(actors)
stats_by_group = {
name: _get_actor_group_stats(group) for name, group in actor_groups.items()
}
summarized_actor_groups = {}
for name, group in actor_groups.items():
summarized_actor_group... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 11 | actor_utils.py | 110 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,041 | 0 | 98 | 67 | 24 | 129,861 | 34 | ray | 10 | dashboard/modules/actor/actor_utils.py | Python | 12 | {
"docstring": "actors is a dict from actor id to an actor or an\n actor creation task The shared fields currently are\n \"actorClass\", \"actorId\", and \"state\" ",
"language": "en",
"n_whitespaces": 30,
"n_words": 24,
"vocab_size": 21
} | https://github.com/ray-project/ray.git | |
1 | test_change_view_history_link | def test_change_view_history_link(self):
url = reverse(
"admin:%s_modelwithstringprimarykey_change"
% ModelWithStringPrimaryKey._meta.app_label,
args=(quote(self.pk),),
)
response = self.client.get(url)
self.assertEqual(response.status_code, 2... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 13 | tests.py | 144 | Refs #33476 -- Reformatted code with Black. | 52,085 | 0 | 171 | 89 | 22 | 207,753 | 31 | django | 18 | tests/admin_views/tests.py | Python | 16 | {
"docstring": "Object history button link should work and contain the pk value quoted.",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | https://github.com/django/django.git | |
10 | generate_dimino | def generate_dimino(self, af=False):
idn = list(range(self.degree))
order = 0
element_list = [idn]
set_element_list = {tuple(idn)}
if af:
yield idn
else:
yield _af_new(idn)
gens = [p._array_form for p in self.generators]
f... | 498015021131af4dbb07eb110e5badaba8250c7b | 23 | perm_groups.py | 305 | Updated import locations | 47,647 | 0 | 728 | 187 | 68 | 196,147 | 106 | sympy | 30 | sympy/combinatorics/perm_groups.py | Python | 32 | {
"docstring": "Yield group elements using Dimino's algorithm.\n\n If ``af == True`` it yields the array form of the permutations.\n\n Examples\n ========\n\n >>> from sympy.combinatorics import Permutation, PermutationGroup\n >>> a = Permutation([0, 2, 1, 3])\n >>> b = Permu... | https://github.com/sympy/sympy.git | |
4 | size | def size(self) -> DataFrame | Series:
result = self.grouper.size()
if self.axis == 1:
return DataFrame(
data=np.tile(result.values, (self.obj.shape[0], 1)),
columns=result.index,
index=self.obj.index,
)
# GH28330 ... | 15a06d3d9e7656afff239da7a295a7b684456680 | 16 | groupby.py | 214 | BUG: groupby.size and groupby.transform('size') incorrect for axis=1 (#45987) | 39,620 | 0 | 228 | 135 | 49 | 164,913 | 60 | pandas | 24 | pandas/core/groupby/groupby.py | Python | 24 | {
"docstring": "\n Compute group sizes.\n\n Returns\n -------\n DataFrame or Series\n Number of rows in each group as a Series if as_index is True\n or a DataFrame if as_index is False.\n ",
"language": "en",
"n_whitespaces": 86,
"n_words": 28,
"vocab_s... | https://github.com/pandas-dev/pandas.git | |
7 | _iter_requires_txt_entries | def _iter_requires_txt_entries(self) -> Iterator[RequiresEntry]:
content = self._dist.read_text("requires.txt")
if content is None:
return
extra = marker = "" # Section-less entries don't have markers.
for line in content.splitlines():
line = line.strip(... | c69d55f7c82d5ae2cce542bcfb98d043ca4836a0 | 15 | _dists.py | 191 | Vendor in pip 22.1.2 | 3,750 | 0 | 195 | 108 | 44 | 21,283 | 57 | pipenv | 17 | pipenv/patched/notpip/_internal/metadata/importlib/_dists.py | Python | 23 | {
"docstring": "Parse a ``requires.txt`` in an egg-info directory.\n\n This is an INI-ish format where an egg-info stores dependencies. A\n section name describes extra other environment markers, while each entry\n is an arbitrary string (not a key-value pair) representing a dependency\n a... | https://github.com/pypa/pipenv.git | |
6 | named_parameters | def named_parameters(self, *args, **kwargs):
arch = kwargs.pop('arch', False)
for name, p in super().named_parameters(*args, **kwargs):
if any(name == par_name for par_name in self._arch_parameter_names):
if arch:
yield name, p
else:
... | 14d2966b9e91ae16dcc39de8f41017a75cec8ff9 | 14 | differentiable.py | 117 | Valuechoice oneshot lightning (#4602) | 24,602 | 0 | 145 | 71 | 22 | 112,161 | 34 | nni | 12 | nni/retiarii/oneshot/pytorch/supermodule/differentiable.py | Python | 9 | {
"docstring": "Named parameters excluding architecture parameters.",
"language": "en",
"n_whitespaces": 4,
"n_words": 5,
"vocab_size": 5
} | https://github.com/microsoft/nni.git | |
2 | get_stats | def get_stats(self) -> SystemStats:
deleted = self.db.query(Message.deleted, func.count()).group_by(Message.deleted)
nthreads = self.db.query(None, func.count(Message.id)).filter(Message.parent_id.is_(None))
query = deleted.union_all(nthreads)
result = {k: v for k, v in query.al... | ef3a35ff9c9da7aab45e6f40103f32558f861e9b | 13 | prompt_repository.py | 222 | fixes | 54,687 | 0 | 131 | 146 | 31 | 216,799 | 38 | Open-Assistant | 23 | backend/oasst_backend/prompt_repository.py | Python | 15 | {
"docstring": "\n Get data stats such as number of all messages in the system,\n number of deleted and active messages and number of message trees.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 23,
"vocab_size": 17
} | https://github.com/LAION-AI/Open-Assistant.git | |
1 | make_sampling_table | def make_sampling_table(size, sampling_factor=1e-5):
gamma = 0.577
rank = np.arange(size)
rank[0] = 1
inv_fq = rank * (np.log(rank) + gamma) + 0.5 - 1. / (12. * rank)
f = sampling_factor * inv_fq
return np.minimum(1., f / np.sqrt(f))
@keras_export('keras.preprocessing.sequence.skipgrams') | f1aa8b7d2a0c89591c5c42eca5b6f013114a7bbd | @keras_export('keras.preprocessing.sequence.skipgrams') | 13 | sequence.py | 125 | Copy sequence utils from keras_preprocessing directly into core keras
PiperOrigin-RevId: 424915569 | 79,742 | 1 | 44 | 81 | 27 | 268,874 | 38 | keras | 13 | keras/preprocessing/sequence.py | Python | 7 | {
"docstring": "Generates a word rank-based probabilistic sampling table.\n\n Used for generating the `sampling_table` argument for `skipgrams`.\n `sampling_table[i]` is the probability of sampling\n the word i-th most common word in a dataset\n (more common words should be sampled less frequently, for balance).\... | https://github.com/keras-team/keras.git |
3 | execute | def execute():
company = frappe.get_all("Company", filters={"country": "India"})
if not company:
return
frappe.reload_doc("Payroll", "doctype", "payroll_period")
frappe.reload_doc("Payroll", "doctype", "employee_tax_exemption_declaration")
frappe.reload_doc("Payroll", "doctype", "employee_tax_exemption_proof_su... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 12 | sync_india_custom_fields.py | 241 | style: format code with black | 14,367 | 0 | 27 | 126 | 34 | 66,869 | 47 | erpnext | 10 | erpnext/patches/v8_7/sync_india_custom_fields.py | Python | 31 | {
"docstring": "delete from `tabCustom Field` where dt = %s\n\t\t\tand fieldname in ('port_code', 'shipping_bill_number', 'shipping_bill_date')\n\t\tupdate `tabCustom Field`\n\t\tset reqd = 0, `default` = ''\n\t\twhere fieldname = 'reason_for_issuing_document'\n\t\n\t\tupdate tabAddress\n\t\tset gst_state_number=conc... | https://github.com/frappe/erpnext.git | |
3 | run | def run(self, request, pk):
# Check that the user has permission to run reports.
if not request.user.has_perm('extras.run_report'):
raise PermissionDenied("This user does not have permission to run reports.")
# Check that at least one RQ worker is running
if not Wor... | 36d6ae33d15e93cc552827cdea363a9c00c7f823 | 12 | views.py | 201 | Allow setting individual timeouts on scripts and reports | 77,772 | 0 | 249 | 118 | 62 | 264,636 | 84 | netbox | 32 | netbox/extras/api/views.py | Python | 17 | {
"docstring": "\n Run a Report identified as \"<module>.<script>\" and return the pending JobResult as the result\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 14,
"vocab_size": 12
} | https://github.com/netbox-community/netbox.git | |
1 | test_purge_room_and_not_block | def test_purge_room_and_not_block(self) -> None:
# Test that room is not purged
with self.assertRaises(AssertionError):
self._is_purged(self.room_id)
# Test that room is not blocked
self._is_blocked(self.room_id, expect=False)
# Assert one user in room
... | c97042f7eef3748e17c90e48a4122389a89c4735 | 12 | test_room.py | 298 | Use literals in place of `HTTPStatus` constants in tests (#13469) | 72,642 | 0 | 231 | 183 | 45 | 249,135 | 57 | synapse | 24 | tests/rest/admin/test_room.py | Python | 22 | {
"docstring": "Test to purge a room and do not block it.\n Members will not be moved to a new room and will not receive a message.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 25,
"vocab_size": 17
} | https://github.com/matrix-org/synapse.git | |
1 | get_next_connection | async def get_next_connection(self):
return await self._get_next_connection(num_retries=3)
| d21870ac47fc1594b45a5f01ee48cddf5c18b2ff | 9 | networking.py | 30 | fix: fix reconnect issues (#4941) | 2,365 | 0 | 20 | 16 | 6 | 12,659 | 6 | jina | 4 | jina/serve/networking.py | Python | 2 | {
"docstring": "\n Returns a connection from the list. Strategy is round robin\n :returns: A connection from the pool\n ",
"language": "en",
"n_whitespaces": 38,
"n_words": 16,
"vocab_size": 13
} | https://github.com/jina-ai/jina.git | |
3 | load_data_for_viz | def load_data_for_viz(load_type, model_file_statistics, dtype=int, ground_truth_split=2) -> Dict[str, Any]:
supported_load_types = dict(
load_json=load_json,
load_from_file=partial(load_from_file, dtype=dtype, ground_truth_split=ground_truth_split),
)
loader = supported_load_types[load_... | 4f40ffec8e81eb3f6385243498babe1409a675be | 12 | visualize.py | 131 | Changes learning_curves to use "step" or "epoch" as x-axis label. (#2578)
* Started building dataclasses for model training output.
* Adds EvaluationFrequency to training stats, dataclasses for training results.
* Adds x_label, x_step to learning_curves.
* fix x axis when using checkpoints_per_epoch.
* Fix... | 1,405 | 0 | 106 | 84 | 44 | 8,364 | 47 | ludwig | 21 | ludwig/visualize.py | Python | 19 | {
"docstring": "Load JSON files (training stats, evaluation stats...) for a list of models.\n\n :param load_type: type of the data loader to be used.\n :param model_file_statistics: JSON file or list of json files containing any\n model experiment stats.\n :return List of training statistics loaded... | https://github.com/ludwig-ai/ludwig.git | |
7 | check_input_folder | def check_input_folder(self) -> Optional[cv2.VideoCapture]:
err = None
loadtype = self.__class__.__name__
if not self.folder:
err = f"ERROR: A {loadtype} folder must be specified"
elif not os.path.exists(self.folder):
err = f"ERROR: The {loadtype} locatio... | e2a77e7c6e84e81f642cb22f528e25e3f2d2dbc1 | 14 | media.py | 252 | Alignments Tool - Typing, Documentation + Re-org | 21,148 | 0 | 300 | 140 | 65 | 101,744 | 94 | faceswap | 23 | tools/alignments/media.py | Python | 27 | {
"docstring": " makes sure that the frames or faces folder exists\n If frames folder contains a video file return imageio reader object\n\n Returns\n -------\n :class:`cv2.VideoCapture`\n Object for reading a video stream\n ",
"language": "en",
"n_whitespaces": 8... | https://github.com/deepfakes/faceswap.git | |
2 | generate_heatmap | def generate_heatmap(logits, num_classes):
keypoint_colours = np.array([plt.cm.spectral(x) for x in np.linspace(0, 1, num_classes + 1)])[
..., :3].astype(np.float32)
prediction = tf.nn.softmax(logits)
heatmap = tf.matmul(tf.reshape(prediction, (-1, num_classes + 1)), keypoint_colours)
hea... | 7375ee364e0df2a417f92593e09557f1b2a3575a | 16 | utils.py | 195 | initialize ostec | 1,586 | 0 | 129 | 131 | 29 | 9,335 | 36 | insightface | 21 | reconstruction/ostec/external/landmark_detector/utils.py | Python | 9 | {
"docstring": "Generates a coloured heatmap from the keypoint logits.\n\n Args:\n features: A `Tensor` of dimensions [num_batch, height, width, FLAGS.n_landmarks + 1].\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 20,
"vocab_size": 20
} | https://github.com/deepinsight/insightface.git | |
1 | update_worker_pea_args | def update_worker_pea_args(self):
self.peas_args['peas'] = self._set_peas_args(self.args)
| 933415bfa1f9eb89f935037014dfed816eb9815d | 9 | __init__.py | 38 | feat: star routing (#3900)
* feat(proto): adjust proto for star routing (#3844)
* feat(proto): adjust proto for star routing
* feat(proto): generate proto files
* feat(grpc): refactor grpclet interface (#3846)
* feat: refactor connection pool for star routing (#3872)
* feat(k8s): add more labels to k8s ... | 1,761 | 0 | 19 | 21 | 5 | 9,894 | 5 | jina | 5 | jina/peapods/pods/__init__.py | Python | 2 | {
"docstring": " Update args of all its worker peas based on Pod args. Does not touch head and tail",
"language": "en",
"n_whitespaces": 17,
"n_words": 17,
"vocab_size": 17
} | https://github.com/jina-ai/jina.git | |
1 | to_local_object_without_private_data_child | def to_local_object_without_private_data_child(self) -> SingleEntityPhiTensor:
public_shape = getattr(self, "public_shape", None)
public_dtype = getattr(self, "public_dtype", None)
return Tensor(
child=SingleEntityPhiTensor(
child=FixedPrecisionTensor(value=... | a90188ecc017971b64778aa0ff41127a9d5d9d44 | 14 | single_entity_phi.py | 121 | working fpt for SMPC+DP | 125 | 0 | 188 | 79 | 26 | 803 | 32 | PySyft | 14 | packages/syft/src/syft/core/tensor/autodp/single_entity_phi.py | Python | 16 | {
"docstring": "Convert this pointer into a partial version of the SingleEntityPhiTensor but without\n any of the private data therein.",
"language": "en",
"n_whitespaces": 24,
"n_words": 18,
"vocab_size": 16
} | https://github.com/OpenMined/PySyft.git | |
6 | _measurements | def _measurements(self):
ismeasured = {}
for i,g in enumerate(self._gates()):
if getattr(g,'measurement',False):
for target in g.targets:
if target in ismeasured:
if ismeasured[target] > i:
ismea... | 55c2eba0fc6eefa30c07e2e76795c1df89488b11 | 17 | circuitplot.py | 113 | Update documentation | 48,582 | 0 | 197 | 70 | 20 | 197,501 | 32 | sympy | 10 | sympy/physics/quantum/circuitplot.py | Python | 11 | {
"docstring": "Return a dict ``{i:j}`` where i is the index of the wire that has\n been measured, and j is the gate where the wire is measured.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 26,
"vocab_size": 19
} | https://github.com/sympy/sympy.git | |
1 | parse_example_proto_and_decode | def parse_example_proto_and_decode(example_serialized):
image_buffer, label = _parse_example_proto(example_serialized)
image_buffer = tf.reshape(image_buffer, shape=[])
image_buffer = tf.io.decode_jpeg(image_buffer, channels=NUM_CHANNELS)
return image_buffer, label
| 02f911ce78137cb63ecb685a8ef8e56dcb60062c | 10 | tf_utils.py | 73 | Benchmarking Ray Data bulk ingest as input file size changes. (#29296)
This PR adds a benchmark which takes work from https://github.com/anyscale/air-benchmarks and makes it run as a release test.
Full metrics are stored in Databricks.
Signed-off-by: Cade Daniel <cade@anyscale.com> | 30,205 | 0 | 32 | 45 | 12 | 134,154 | 17 | ray | 12 | release/air_tests/air_benchmarks/mlperf-train/tf_utils.py | Python | 5 | {
"docstring": "Parses an example and decodes the image to prepare for caching.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 11
} | https://github.com/ray-project/ray.git | |
3 | get_currency | def get_currency(filters):
company = get_appropriate_company(filters)
company_currency = get_company_currency(company)
presentation_currency = (
filters["presentation_currency"] if filters.get("presentation_currency") else company_currency
)
report_date = filters.get("to_date")
if not report_date:
fiscal_... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 14 | utils.py | 161 | style: format code with black | 13,877 | 0 | 23 | 95 | 29 | 65,389 | 40 | erpnext | 15 | erpnext/accounts/report/utils.py | Python | 17 | {
"docstring": "\n\tReturns a dictionary containing currency information. The keys of the dict are\n\t- company: The company for which we are fetching currency information. if no\n\tcompany is specified, it will fallback to the default company.\n\t- company currency: The functional currency of the said company.\n\t- ... | https://github.com/frappe/erpnext.git | |
1 | test_query_order_fields_order_with_new_id_by_anonymous_user | def test_query_order_fields_order_with_new_id_by_anonymous_user(order, api_client):
# given
variables = {"id": graphene.Node.to_global_id("Order", order.pk)}
# when
response = api_client.post_graphql(QUERY_ORDER_FIELDS_BY_ID, variables)
# then
content = get_graphql_content(response)
a... | 71c19c951bcfba66fa9a9ee5809a46ad3af8f11f | 12 | test_order.py | 194 | Allow fetching by id all order data for new orders (#9728) | 5,103 | 0 | 106 | 109 | 28 | 27,234 | 39 | saleor | 17 | saleor/graphql/order/tests/test_order.py | Python | 14 | {
"docstring": "Ensure that all fields that are available for order owner can be fetched with\n use of new id by the customer user.",
"language": "en",
"n_whitespaces": 24,
"n_words": 22,
"vocab_size": 21
} | https://github.com/saleor/saleor.git | |
1 | mkdtemp | def mkdtemp(self):
d = tempfile.mkdtemp()
self.tempdirs.append(d)
return d
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 8 | support.py | 41 | add python 3.10.4 for windows | 56,849 | 0 | 36 | 23 | 7 | 223,013 | 8 | XX-Net | 6 | python3.10.4/Lib/distutils/tests/support.py | Python | 4 | {
"docstring": "Create a temporary directory that will be cleaned up.\n\n Returns the path of the directory.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 15,
"vocab_size": 14
} | https://github.com/XX-net/XX-Net.git | |
3 | __str__ | def __str__(self):
call_str = f'db.{self.collection}'
for step in self.pipeline:
args_str = []
for arg in step['args']:
args_str.append(MongoJSONEncoder().encode(arg))
call_str += f'.{step["method"]}({",".join(args_str)})'
return call... | d5b6d8cf5bd69a1f3427bac153fa09159dfe96d0 | 15 | mongodb_query.py | 113 | added converters:
- mongo to str
- str to mongo
creating predictor from sql using mongo data
tests | 25,455 | 0 | 98 | 48 | 17 | 115,416 | 22 | mindsdb | 12 | mindsdb/integrations/handlers/mongodb_handler/utils/mongodb_query.py | Python | 8 | {
"docstring": "\n converts call to string\n\n {\n 'collection': 'fish',\n 'call': [ // call is sequence of methods\n {\n 'method': 'find',\n 'args': [{a:1}, {b:2}]\n },\n {\n 'm... | https://github.com/mindsdb/mindsdb.git | |
1 | pairwise | def pairwise(iterable):
# type: (Iterable[Any]) -> Iterator[Tuple[Any, Any]]
iterable = iter(iterable)
return zip_longest(iterable, iterable)
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 8 | misc.py | 34 | upd; format | 12,448 | 0 | 26 | 19 | 14 | 61,223 | 14 | transferlearning | 4 | .venv/lib/python3.8/site-packages/pip/_internal/utils/misc.py | Python | 3 | {
"docstring": "\n Return paired elements.\n\n For example:\n s -> (s0, s1), (s2, s3), (s4, s5), ...\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 14,
"vocab_size": 14
} | https://github.com/jindongwang/transferlearning.git | |
6 | complete_code | def complete_code(accelerator, model, tokenizer, dataloader, n_tasks, batch_size=20, **gen_kwargs):
gen_token_dict = defaultdict(list) # dict of list of generated tokens
for step, batch in tqdm(enumerate(dataloader)):
with torch.no_grad():
gen_kwargs["stopping_criteria"][0].start_lengt... | 4868a830db5f19f56712f540979d637368221d50 | 17 | human_eval.py | 387 | Jia multi gpu eval (#16428)
* add simple multi gpu complet
* add human_eval_multi_gpu
* use copy strategy to distribute across gpu, to avoid padding
* add doc string
* update code style
* use task id to arrange output
* truncate input to avoid zero pad
* Stop the copy mechanism
* update style
... | 6,716 | 0 | 317 | 246 | 66 | 37,029 | 96 | transformers | 46 | examples/research_projects/codeparrot/scripts/human_eval.py | Python | 23 | {
"docstring": "Generate multiple codes for each task in the dataset. This function leverage accelerator to distribute\n the processing to multiple GPUs.\n dataloader, a wrapper around a TokenizeDataset objectm is supposed to send all the prompts from\n the evalution dataset to the modelm as the following:\n... | https://github.com/huggingface/transformers.git | |
16 | delegate_command | def delegate_command(args, host_state, exclude, require): # type: (EnvironmentConfig, HostState, t.List[str], t.List[str]) -> None
con = host_state.controller_profile.get_origin_controller_connection()
working_directory = host_state.controller_profile.get_working_directory()
host_delegation = not isin... | a06fa496d3f837cca3c437ab6e9858525633d147 | 17 | delegation.py | 803 | ansible-test - Code cleanup and refactoring. (#77169)
* Remove unnecessary PyCharm ignores.
* Ignore intentional undefined attribute usage.
* Add missing type hints. Fix existing type hints.
* Fix docstrings and comments.
* Use function to register completion handler.
* Pass strings to display functions.
* Fix C... | 78,575 | 0 | 770 | 487 | 154 | 266,772 | 231 | ansible | 76 | test/lib/ansible_test/_internal/delegation.py | Python | 57 | {
"docstring": "Delegate execution based on the provided host state.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/ansible/ansible.git | |
6 | decrypt_string | def decrypt_string(self, content, key=0):
# precondition
assert isinstance(key, int) and isinstance(content, str)
key = key or self.__key or 1
# make sure key can be any size
while key > 255:
key -= 255
# This will be returned
ans = ""
... | f0af0c43340763724f139fa68aa1e5a9ffe458b4 | 13 | XOR_cipher.py | 105 | refactor: clean code
Signed-off-by: slowy07 <slowy.arfy@gmail.com> | 4,360 | 0 | 145 | 64 | 42 | 22,544 | 53 | Python | 12 | XORcipher/XOR_cipher.py | Python | 9 | {
"docstring": "\n input: 'content' of type string and 'key' of type int\n output: decrypted string 'content'\n if key not passed the method uses the key by the constructor.\n otherwise key = 1\n ",
"language": "en",
"n_whitespaces": 66,
"n_words": 30,
"vocab_size": 22
} | https://github.com/geekcomputers/Python.git |
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