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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | get_word_index | def get_word_index(path="reuters_word_index.json"):
origin_folder = (
"https://storage.googleapis.com/tensorflow/tf-keras-datasets/"
)
path = get_file(
path,
origin=origin_folder + "reuters_word_index.json",
file_hash="4d44cc38712099c9e383dc6e5f11a921",
)
with op... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 11 | reuters.py | 83 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 80,402 | 0 | 75 | 45 | 20 | 270,139 | 22 | keras | 10 | keras/datasets/reuters.py | Python | 11 | {
"docstring": "Retrieves a dict mapping words to their index in the Reuters dataset.\n\n Args:\n path: where to cache the data (relative to `~/.keras/dataset`).\n\n Returns:\n The word index dictionary. Keys are word strings, values are their index.\n ",
"language": "en",
"n_whitespaces": ... | https://github.com/keras-team/keras.git | |
3 | test_flow_run_respects_extra_loggers | async def test_flow_run_respects_extra_loggers(orion_client, logger_test_deployment):
flow_run = await orion_client.create_flow_run_from_deployment(
logger_test_deployment
)
await SubprocessFlowRunner(
env={"PREFECT_LOGGING_EXTRA_LOGGERS": "foo"}
).submit_flow_run(flow_run, MagicMo... | b110baccdbfde300f410b069c873e8b2a2c98e00 | @pytest.mark.parametrize("name", ["default", None, ""]) | 14 | test_logging.py | 311 | Add test | 10,716 | 1 | 165 | 163 | 62 | 53,099 | 88 | prefect | 35 | tests/test_logging.py | Python | 20 | {
"docstring": "\n Runs a flow in a subprocess to check that PREFECT_LOGGING_EXTRA_LOGGERS works as\n intended. This avoids side-effects of modifying the loggers in this test run without\n confusing mocking.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 27,
"vocab_size": 25
} | https://github.com/PrefectHQ/prefect.git |
5 | save | def save(self):
s = self._read_from_storage() # type: _Settings
for k, v in self.__dict__.items():
if k[0] == '_':
continue
if hasattr(s, k):
setattr(s, k, v)
log.debug("_ConfigSQL updating storage")
self._session.merge(... | 4ea80e9810a14ca3617f08a4ae5cfa6b50482e9a | 11 | config_sql.py | 170 | Code cosmetics | 40,839 | 0 | 182 | 99 | 38 | 173,342 | 40 | calibre-web | 20 | cps/config_sql.py | Python | 15 | {
"docstring": "Apply all configuration values to the underlying storage.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/janeczku/calibre-web.git | |
3 | try_all_gpus | def try_all_gpus():
num_gpus = len(tf.config.experimental.list_physical_devices('GPU'))
devices = [tf.device(f'/GPU:{i}') for i in range(num_gpus)]
return devices if devices else [tf.device('/CPU:0')]
| b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | 12 | tensorflow.py | 91 | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: （“bert.mall”）->（“bert.small”） (#1129)
* line 313: "b... | 37,441 | 0 | 30 | 51 | 15 | 158,288 | 18 | d2l-zh | 11 | d2l/tensorflow.py | Python | 4 | {
"docstring": "Return all available GPUs, or [cpu(),] if no GPU exists.\n\n Defined in :numref:`sec_use_gpu`",
"language": "en",
"n_whitespaces": 15,
"n_words": 13,
"vocab_size": 13
} | https://github.com/d2l-ai/d2l-zh.git | |
1 | gen_fake_dataset | def gen_fake_dataset():
# For fake dataset, since the dataset is randomized, we create it once on the
# driver, and then send the same dataset to all the training workers.
# Use 10% of nodes for validation and 10% for testing.
fake_dataset = FakeDataset(transform=RandomNodeSplit(num_val=0.1, num_t... | 732175e2458ec671c80484bcd35150dcdc7e600b | 12 | distributed_sage_example.py | 41 | [AIR] Add distributed `torch_geometric` example (#23580)
Add example for distributed pytorch geometric (graph learning) with Ray AIR
This only showcases distributed training, but with data small enough that it can be loaded in by each training worker individually. Distributed data ingest is out of scope for this PR... | 34,236 | 0 | 60 | 30 | 36 | 148,314 | 45 | ray | 7 | python/ray/ml/examples/pytorch_geometric/distributed_sage_example.py | Python | 4 | {
"docstring": "Returns a function to be called on each worker that returns a Fake Dataset.",
"language": "en",
"n_whitespaces": 13,
"n_words": 14,
"vocab_size": 13
} | https://github.com/ray-project/ray.git | |
9 | read_dict | def read_dict(self, dictionary, source='<dict>'):
elements_added = set()
for section, keys in dictionary.items():
section = str(section)
try:
self.add_section(section)
except (DuplicateSectionError, ValueError):
if self._strict... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 14 | configparser.py | 222 | add python 3.10.4 for windows | 56,469 | 0 | 298 | 141 | 42 | 221,674 | 60 | XX-Net | 19 | python3.10.4/Lib/configparser.py | Python | 18 | {
"docstring": "Read configuration from a dictionary.\n\n Keys are section names, values are dictionaries with keys and values\n that should be present in the section. If the used dictionary type\n preserves order, sections and their keys will be added in order.\n\n All types held in the d... | https://github.com/XX-net/XX-Net.git | |
1 | get_deployment_statuses | def get_deployment_statuses() -> Dict[str, DeploymentStatusInfo]:
return internal_get_global_client().get_deployment_statuses()
| 1100c982223757f697a410a0d0c3d8bf3ff9c805 | 9 | api.py | 35 | [serve] Implement Serve Application object (#22917)
The concept of a Serve Application, a data structure containing all information needed to deploy Serve on a Ray cluster, has surfaced during recent design discussions. This change introduces a formal Application data structure and refactors existing code to use it. | 33,628 | 0 | 13 | 20 | 7 | 146,198 | 7 | ray | 5 | python/ray/serve/api.py | Python | 18 | {
"docstring": "Returns a dictionary of deployment statuses.\n\n A deployment's status is one of {UPDATING, UNHEALTHY, and HEALTHY}.\n\n Example:\n\n >>> statuses = get_deployment_statuses()\n >>> status_info = statuses[\"deployment_name\"]\n >>> status = status_info.status\n >>> message = status_in... | https://github.com/ray-project/ray.git | |
1 | test_remove_config_entry_from_device_fails | async def test_remove_config_entry_from_device_fails(hass, hass_ws_client):
assert await async_setup_component(hass, "config", {})
ws_client = await hass_ws_client(hass)
device_registry = mock_device_registry(hass)
| c496748125b811ef5437ad666d21c09025e0967f | 9 | test_device_registry.py | 56 | Add WS API for removing a config entry from a device (#66188)
* Add WS API for removing a config entry from a device
* Address review comments
* Address review comments
* Remove entity cleanup from ConfigEntries
* Update + add tests
* Improve comments in test
* Add negative test
* Refactor accordi... | 91,454 | 0 | 28 | 617 | 14 | 292,362 | 16 | core | 7 | tests/components/config/test_device_registry.py | Python | 132 | {
"docstring": "Test removing config entry from device failing cases.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/home-assistant/core.git | |
6 | geometric_edges | def geometric_edges(G, radius, p=2):
nodes_pos = G.nodes(data="pos")
try:
import scipy as sp
import scipy.spatial # call as sp.spatial
except ImportError:
# no scipy KDTree so compute by for-loop
radius_p = radius**p
edges = [
(u, v)
for ... | ad99a5862264355d5eaaa309136475bfb9a66c12 | @py_random_state(5) | 18 | geometric.py | 247 | Add default value p=2 for minkowski distance metric. (#5700) | 42,122 | 1 | 206 | 153 | 69 | 176,826 | 93 | networkx | 31 | networkx/generators/geometric.py | Python | 18 | {
"docstring": "Returns edge list of node pairs within `radius` of each other.\n\n Parameters\n ----------\n G : networkx graph\n The graph from which to generate the edge list. The nodes in `G` should\n have an attribute ``pos`` corresponding to the node position, which is\n used to com... | https://github.com/networkx/networkx.git |
4 | fields | def fields(class_or_instance):
# Might it be worth caching this, per class?
try:
fields = getattr(class_or_instance, _FIELDS)
except AttributeError:
raise TypeError('must be called with a dataclass type or instance')
# Exclude pseudo-fields. Note that fields is sorted by insertio... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 11 | dataclasses.py | 76 | add python 3.10.4 for windows | 56,538 | 0 | 98 | 43 | 53 | 222,330 | 62 | XX-Net | 11 | python3.10.4/Lib/dataclasses.py | Python | 6 | {
"docstring": "Return a tuple describing the fields of this dataclass.\n\n Accepts a dataclass or an instance of one. Tuple elements are of\n type Field.\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 23,
"vocab_size": 20
} | https://github.com/XX-net/XX-Net.git | |
2 | _invert_monoms | def _invert_monoms(p1):
terms = list(p1.items())
terms.sort()
deg = p1.degree()
R = p1.ring
p = R.zero
cv = p1.listcoeffs()
mv = p1.listmonoms()
for mvi, cvi in zip(mv, cv):
p[(deg - mvi[0],)] = cvi
return p
| 7d773eb18daaef3c54f34d1ac6cbc5b83a5bb16c | 12 | ring_series.py | 131 | Cleanup loops and ranges | 48,908 | 0 | 71 | 80 | 26 | 198,397 | 34 | sympy | 19 | sympy/polys/ring_series.py | Python | 11 | {
"docstring": "\n Compute ``x**n * p1(1/x)`` for a univariate polynomial ``p1`` in ``x``.\n\n Examples\n ========\n\n >>> from sympy.polys.domains import ZZ\n >>> from sympy.polys.rings import ring\n >>> from sympy.polys.ring_series import _invert_monoms\n >>> R, x = ring('x', ZZ)\n >>> p = x... | https://github.com/sympy/sympy.git | |
4 | to_python | def to_python(self, value):
value = super().to_python(value)
if value in self.empty_values:
return None
if self.localize:
value = formats.sanitize_separators(value)
# Strip trailing decimal and zeros.
try:
value = int(self.re_decimal.s... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 14 | fields.py | 139 | Refs #33476 -- Reformatted code with Black. | 51,297 | 0 | 136 | 83 | 28 | 205,955 | 36 | django | 17 | django/forms/fields.py | Python | 11 | {
"docstring": "\n Validate that int() can be called on the input. Return the result\n of int() or None for empty values.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 19,
"vocab_size": 17
} | https://github.com/django/django.git | |
3 | _zoom_data_limits | def _zoom_data_limits(self, scale_u, scale_v, scale_w):
scale = np.array([scale_u, scale_v, scale_w])
# Only perform frame conversion if unequal scale factors
if not np.allclose(scale, scale_u):
# Convert the scale factors from the view frame to the data frame
R... | 4896ec1a2cfb8c454e385632d8df213c915ced52 | 16 | axes3d.py | 246 | Add pan and zoom toolbar handling to 3D Axes (Replaces PR#22614) (#23449)
* ENH: Add pan and zoom toolbar handling to 3D Axes
1) This moves the pan logic that was already in the mouse move handler
into the "drag_pan" method to make it available from the toolbar.
2) This expands upon the panning logic to enable ... | 23,730 | 0 | 231 | 159 | 59 | 109,746 | 85 | matplotlib | 26 | lib/mpl_toolkits/mplot3d/axes3d.py | Python | 11 | {
"docstring": "\n Zoom in or out of a 3D plot.\n Will scale the data limits by the scale factors. These will be\n transformed to the x, y, z data axes based on the current view angles.\n A scale factor > 1 zooms out and a scale factor < 1 zooms in.\n\n For an axes that has had its ... | https://github.com/matplotlib/matplotlib.git | |
2 | start | def start(self):
self.worker = _get_worker(
args=self.args,
target=run,
kwargs={
'args': self.args,
'name': self.name,
'container_name': self.container_name,
'net_mode': self.net_mode,
'r... | 933415bfa1f9eb89f935037014dfed816eb9815d | 12 | container.py | 172 | 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 ... | 1,734 | 0 | 267 | 104 | 35 | 9,859 | 35 | jina | 18 | jina/peapods/peas/container.py | Python | 20 | {
"docstring": "Start the ContainerPea.\n This method calls :meth:`start` in :class:`threading.Thread` or :class:`multiprocesssing.Process`.\n .. #noqa: DAR201\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 14,
"vocab_size": 14
} | https://github.com/jina-ai/jina.git | |
1 | info | def info(self, pretty=False, best=False):
# type: (bool, bool) -> InfoDict
return dict(
id=self.id(),
version=self.version(pretty, best),
version_parts=dict(
major=self.major_version(best),
minor=self.minor_version(best),
... | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | 13 | distro.py | 130 | 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... | 3,224 | 0 | 162 | 86 | 23 | 20,079 | 23 | pipenv | 15 | pipenv/patched/notpip/_vendor/distro.py | Python | 12 | {
"docstring": "\n Return certain machine-readable information about the OS\n distribution.\n\n For details, see :func:`distro.info`.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 12,
"vocab_size": 12
} | https://github.com/pypa/pipenv.git | |
1 | data | def data(self) -> 'DataRequest._DataContent':
return DataRequest._DataContent(self.proto_with_data.data)
| c3849c6fee4a65a77a82b2cfda9670d727ff0f53 | 9 | data.py | 35 | feat: allow to access parameters of data request wo loading data (#4991) | 2,384 | 0 | 20 | 19 | 6 | 12,698 | 6 | jina | 5 | jina/types/request/data.py | Python | 6 | {
"docstring": "Get the data contained in this data request\n\n :return: the data content as an instance of _DataContent wrapping docs\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 19,
"vocab_size": 16
} | https://github.com/jina-ai/jina.git | |
1 | test_modify_event | def test_modify_event(self) -> None:
# first patch the event checker so that it will modify the event | 2ffaf30803f93273a4d8a65c9e6c3110c8433488 | 6 | test_third_party_rules.py | 17 | Add type hints to `tests/rest/client` (#12108)
* Add type hints to `tests/rest/client`
* newsfile
* fix imports
* add `test_account.py`
* Remove one type hint in `test_report_event.py`
* change `on_create_room` to `async`
* update new functions in `test_third_party_rules.py`
* Add `test_filter.py`... | 71,596 | 0 | 31 | 139 | 15 | 247,330 | 17 | synapse | 2 | tests/rest/client/test_third_party_rules.py | Python | 20 | {
"docstring": "The module can return a modified version of the event",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/matrix-org/synapse.git | |
1 | Dagum | def Dagum(name, p, a, b):
r
return rv(name, DagumDistribution, (p, a, b))
#-------------------------------------------------------------------------------
# Erlang distribution ----------------------------------------------------------
| 9ad8ab9fe58051cf11626ba6654852fcfec60147 | 8 | crv_types.py | 40 | Documentation cleanup 5 | 48,100 | 0 | 20 | 28 | 16 | 196,682 | 17 | sympy | 7 | sympy/stats/crv_types.py | Python | 57 | {
"docstring": "\n Create a continuous random variable with a Dagum distribution.\n\n Explanation\n ===========\n\n The density of the Dagum distribution is given by\n\n .. math::\n f(x) := \\frac{a p}{x} \\left( \\frac{\\left(\\tfrac{x}{b}\\right)^{a p}}\n {\\left(\\left(\\tfrac{... | https://github.com/sympy/sympy.git | |
1 | diffusion_defaults | def diffusion_defaults():
return dict(
learn_sigma=False,
diffusion_steps=1000,
noise_schedule="linear",
timestep_respacing="",
use_kl=False,
predict_xstart=False,
rescale_timesteps=False,
rescale_learned_sigmas=False,
)
| f4d6e64cdc132ae868699a0ba442f4ab1d304a14 | 9 | script_util.py | 63 | add disco_diffusion_cnclip_vitb16 module | 9,936 | 0 | 78 | 41 | 13 | 49,840 | 13 | PaddleHub | 10 | modules/image/text_to_image/disco_diffusion_cnclip_vitb16/reverse_diffusion/model/script_util.py | Python | 11 | {
"docstring": "\n Defaults for image and classifier training.\n ",
"language": "en",
"n_whitespaces": 13,
"n_words": 6,
"vocab_size": 6
} | https://github.com/PaddlePaddle/PaddleHub.git | |
6 | resize | def resize(self, n):
aform = self.array_form
l = len(aform)
if n > l:
aform += list(range(l, n))
return Permutation._af_new(aform)
elif n < l:
cyclic_form = self.full_cyclic_form
new_cyclic_form = []
for cycle in cycli... | 498015021131af4dbb07eb110e5badaba8250c7b | 20 | permutations.py | 197 | Updated import locations | 47,668 | 0 | 378 | 116 | 58 | 196,168 | 77 | sympy | 24 | sympy/combinatorics/permutations.py | Python | 21 | {
"docstring": "Resize the permutation to the new size ``n``.\n\n Parameters\n ==========\n\n n : int\n The new size of the permutation.\n\n Raises\n ======\n\n ValueError\n If the permutation cannot be resized to the given size.\n This may on... | https://github.com/sympy/sympy.git | |
3 | _remove_old_push_actions_that_have_rotated | async def _remove_old_push_actions_that_have_rotated(self) -> None:
# We want to clear out anything that is older than a day that *has* already
# been rotated.
rotated_upto_stream_ordering = await self.db_pool.simple_select_one_onecol(
table="event_push_summary_stream_order... | 46bd7f4ed9020bbed459c03a11c26d7f7c3093b0 | 11 | event_push_actions.py | 72 | Clarifications for event push action processing. (#13485)
* Clarifies comments.
* Fixes an erroneous comment (about return type) added in #13455
(ec24813220f9d54108924dc04aecd24555277b99).
* Clarifies the name of a variable.
* Simplifies logic of pulling out the latest join for the requesting user. | 72,870 | 0 | 131 | 64 | 34 | 249,367 | 38 | synapse | 11 | synapse/storage/databases/main/event_push_actions.py | Python | 18 | {
"docstring": "Clear out old push actions that have been summarised.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | https://github.com/matrix-org/synapse.git | |
1 | _asarray | def _asarray(arr):
_check_arraylike("_asarray", arr)
dtype, weak_type = dtypes._lattice_result_type(arr)
return lax_internal._convert_element_type(arr, dtype, weak_type)
| ddf23dead3a4214e6ef8a515d0a51648360ab797 | 8 | util.py | 55 | lax_numpy.py: factor out some common utilities
Re-lands part of #9724
PiperOrigin-RevId: 433838553 | 26,678 | 0 | 16 | 33 | 11 | 119,743 | 12 | jax | 9 | jax/_src/numpy/util.py | Python | 4 | {
"docstring": "\n Pared-down utility to convert object to a DeviceArray.\n Note this will not correctly handle lists or tuples.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 17,
"vocab_size": 16
} | https://github.com/google/jax.git | |
2 | _get_driver | def _get_driver(self) -> str:
drivers = [device.get("driverVersion", "No Driver Found")
for device in self._device_details]
self._log("debug", f"GPU Drivers: {drivers}")
return drivers
| bdbbad4d310fb606b6f412aa81e9f57ccd994e97 | 10 | amd.py | 69 | Refactor lib.gpu_stats (#1218)
* inital gpu_stats refactor
* Add dummy CPU Backend
* Update Sphinx documentation | 20,028 | 0 | 66 | 37 | 19 | 100,564 | 20 | faceswap | 8 | lib/gpu_stats/amd.py | Python | 12 | {
"docstring": " Obtain the AMD driver version currently in use.\n\n Returns\n -------\n str\n The current AMD GPU driver versions\n ",
"language": "en",
"n_whitespaces": 57,
"n_words": 17,
"vocab_size": 15
} | https://github.com/deepfakes/faceswap.git | |
1 | test_payment_refund_or_void_refund_called | def test_payment_refund_or_void_refund_called(refund_mock, payment):
# given
payment.transactions.count() == 0
payment.charge_status = ChargeStatus.FULLY_CHARGED
payment.save(update_fields=["charge_status"])
# when
gateway.payment_refund_or_void(payment, get_plugins_manager(), None)
#... | 0881beec1ac02dfa97525c5173687defb356d85c | @patch("saleor.payment.gateway.refund") | 10 | test_gateway.py | 101 | Fix payment flow (#9504)
* Do not capture payment again when it should be refunded or voided
* Do not create order when then is ongoing refund | 5,044 | 1 | 48 | 52 | 20 | 26,685 | 22 | saleor | 15 | saleor/payment/tests/test_gateway.py | Python | 6 | {
"docstring": "Ensure that the refund method is called when payment can be refunded\n and there is no refund transaction.",
"language": "en",
"n_whitespaces": 20,
"n_words": 18,
"vocab_size": 16
} | https://github.com/saleor/saleor.git |
16 | telescopic | def telescopic(L, R, limits):
(i, a, b) = limits
if L.is_Add or R.is_Add:
return None
# We want to solve(L.subs(i, i + m) + R, m)
# First we try a simple match since this does things that
# solve doesn't do, e.g. solve(f(k+m)-f(k), m) fails
k = Wild("k")
sol = (-R).match(L.sub... | f757f3daae6e11ea0cfb7dadc133274d8d74315f | 19 | summations.py | 374 | Reordered imports 2 | 48,161 | 0 | 391 | 242 | 104 | 196,771 | 189 | sympy | 27 | sympy/concrete/summations.py | Python | 27 | {
"docstring": "\n Tries to perform the summation using the telescopic property.\n\n Return None if not possible.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 14,
"vocab_size": 13
} | https://github.com/sympy/sympy.git | |
1 | insights_lookback_period | def insights_lookback_period(self):
return pendulum.duration(days=self._insights_lookback_window)
| 76032e66dd2b75c611440bdccfc3d55863fb3e39 | 9 | base_insight_streams.py | 30 | Source Facebook Marketing: Add lookback window to insights streams (#12402) | 773 | 0 | 18 | 17 | 4 | 5,494 | 4 | airbyte | 6 | airbyte-integrations/connectors/source-facebook-marketing/source_facebook_marketing/streams/base_insight_streams.py | Python | 2 | {
"docstring": "\n Facebook freezes insight data 28 days after it was generated, which means that all data\n from the past 28 days may have changed since we last emitted it, so we retrieve it again.\n But in some cases users my have define their own lookback window, thats\n why the value f... | https://github.com/airbytehq/airbyte.git | |
5 | check_permissions_for_custom_prices | def check_permissions_for_custom_prices(app, lines):
if any(["price" in line for line in lines]) and (
not app or not app.has_perm(CheckoutPermissions.HANDLE_CHECKOUTS)
):
raise PermissionDenied(permissions=[CheckoutPermissions.HANDLE_CHECKOUTS])
| 620569b3a2466e8dda80df20a11b99ec0bec8c7c | 12 | utils.py | 79 | Custom prices (#9393)
* Add price_override to CheckoutLine model
* Allow to define custom price in checkout mutations
* Apply code review suggestions
* Use custom price when generating checkout payload
* Use price override when calculating prices for checkout
* Update populatedb - create checkout with c... | 5,029 | 0 | 44 | 48 | 18 | 26,585 | 21 | saleor | 10 | saleor/graphql/checkout/mutations/utils.py | Python | 5 | {
"docstring": "Raise PermissionDenied when custom price is changed by user or app without perm.\n\n Checkout line custom price can be changed only by app with\n handle checkout permission.\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 27,
"vocab_size": 22
} | https://github.com/saleor/saleor.git | |
4 | _perform_invalid_key_test | def _perform_invalid_key_test(self, key, expected_warning, key_func=None):
# mimic custom ``make_key`` method being defined since the default will
# never show the below warnings | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 6 | tests.py | 24 | Refs #33476 -- Reformatted code with Black. | 50,040 | 0 | 43 | 191 | 20 | 202,050 | 22 | django | 5 | tests/cache/tests.py | Python | 24 | {
"docstring": "\n All the builtin backends should warn (except memcached that should\n error) on keys that would be refused by memcached. This encourages\n portable caching code without making it too difficult to use production\n backends with more liberal key rules. Refs #6447.\n ... | https://github.com/django/django.git | |
1 | set_negative_aliases | def set_negative_aliases(self, negative_alias):
self._check_alias_dict(negative_alias, "negative alias")
self.negative_alias = negative_alias
| 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 8 | fancy_getopt.py | 37 | add python 3.10.4 for windows | 56,809 | 0 | 30 | 21 | 9 | 222,921 | 9 | XX-Net | 4 | python3.10.4/Lib/distutils/fancy_getopt.py | Python | 3 | {
"docstring": "Set the negative aliases for this option parser.\n 'negative_alias' should be a dictionary mapping option names to\n option names, both the key and value must already be defined\n in the option table.",
"language": "en",
"n_whitespaces": 52,
"n_words": 32,
"vocab_size": 26... | https://github.com/XX-net/XX-Net.git | |
9 | aug_test_bboxes | def aug_test_bboxes(self, feats, img_metas, rescale=False):
# check with_nms argument
gb_sig = signature(self.get_results)
gb_args = [p.name for p in gb_sig.parameters.values()]
gbs_sig = signature(self._get_results_single)
gbs_args = [p.name for p in gbs_sig.parameters.... | 9a3bf7660e6ced54672741095f96df07919f9ba7 | 14 | dense_test_mixins.py | 567 | [Refactor] Refactor dense head outputs to InstanceResults. | 70,341 | 0 | 674 | 361 | 122 | 244,349 | 171 | mmdetection | 54 | mmdet/models/dense_heads/dense_test_mixins.py | Python | 46 | {
"docstring": "Test det bboxes with test time augmentation, can be applied in\n DenseHead except for ``RPNHead`` and its variants, e.g., ``GARPNHead``,\n etc.\n\n Args:\n feats (list[Tensor]): the outer list indicates test-time\n augmentations and inner Tensor should ha... | https://github.com/open-mmlab/mmdetection.git | |
7 | remove_if_stale | def remove_if_stale(self):
try:
pid = self.read_pid()
except ValueError:
print('Broken pidfile found - Removing it.', file=sys.stderr)
self.remove()
return True
if not pid:
self.remove()
return True
try:
... | 13d545b2155ebe9ee0ffad9e9d9ffc09a39185df | 14 | platforms.py | 202 | Fix grammar typos on the whole project | 52,237 | 0 | 285 | 119 | 35 | 208,205 | 63 | celery | 18 | celery/platforms.py | Python | 22 | {
"docstring": "Remove the lock if the process isn't running.\n\n I.e. process does not respond to signal.\n ",
"language": "en",
"n_whitespaces": 29,
"n_words": 15,
"vocab_size": 13
} | https://github.com/celery/celery.git | |
1 | _tie_weights | def _tie_weights(self):
# To tie those two weights if they get disconnected (on TPU or when the bias is resized)
self.bias = self.decoder.bias
@add_start_docstrings(
,
XLM_ROBERTA_XL_START_DOCSTRING,
) | e09473a817c5e5871e11cc81004355ef30250502 | @add_start_docstrings(
"""
XLM-RoBERTa-xlarge Model transformer with a sequence classification/regression head on top (a linear layer on top
of the pooled output) e.g. for GLUE tasks.
""",
XLM_ROBERTA_XL_START_DOCSTRING,
) | 8 | modeling_xlm_roberta_xl.py | 38 | Add support for XLM-R XL and XXL models by modeling_xlm_roberta_xl.py (#13727)
* add xlm roberta xl
* add convert xlm xl fairseq checkpoint to pytorch
* fix init and documents for xlm-roberta-xl
* fix indention
* add test for XLM-R xl,xxl
* fix model hub name
* fix some stuff
* up
* correct ini... | 6,311 | 1 | 44 | 14 | 27 | 34,690 | 27 | transformers | 6 | src/transformers/models/xlm_roberta_xl/modeling_xlm_roberta_xl.py | Python | 2 | {
"docstring": "\n XLM-RoBERTa-xlarge Model transformer with a sequence classification/regression head on top (a linear layer on top\n of the pooled output) e.g. for GLUE tasks.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 23,
"vocab_size": 21
} | https://github.com/huggingface/transformers.git |
5 | uri_to_iri | def uri_to_iri(uri):
if uri is None:
return uri
uri = force_bytes(uri)
# Fast selective unquote: First, split on '%' and then starting with the
# second block, decode the first 2 bytes if they represent a hex code to
# decode. The rest of the block is the part after '%AB', not containin... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 17 | encoding.py | 212 | Refs #33476 -- Reformatted code with Black. | 51,602 | 0 | 280 | 126 | 77 | 206,644 | 105 | django | 16 | django/utils/encoding.py | Python | 21 | {
"docstring": "\n Convert a Uniform Resource Identifier(URI) into an Internationalized\n Resource Identifier(IRI).\n\n This is the algorithm from section 3.2 of RFC 3987, excluding step 4.\n\n Take an URI in ASCII bytes (e.g. '/I%20%E2%99%A5%20Django/') and return\n a string containing the encoded res... | https://github.com/django/django.git | |
1 | test_ohe_drop_first_handle_unknown_ignore_warns | def test_ohe_drop_first_handle_unknown_ignore_warns(handle_unknown):
X = [["a", 0], ["b", 2], ["b", 1]]
ohe = OneHotEncoder(drop="first", sparse=False, handle_unknown=handle_unknown)
X_trans = ohe.fit_transform(X)
X_expected = np.array(
[
[0, 0, 0],
[1, 0, 1],
... | 7f0006c8aad1a09621ad19c3db19c3ff0555a183 | @pytest.mark.parametrize("handle_unknown", ["ignore", "infrequent_if_exist"]) | 12 | test_encoders.py | 307 | 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... | 75,665 | 1 | 221 | 178 | 71 | 259,232 | 96 | scikit-learn | 27 | sklearn/preprocessing/tests/test_encoders.py | Python | 24 | {
"docstring": "Check drop='first' and handle_unknown='ignore'/'infrequent_if_exist'\n during transform.",
"language": "en",
"n_whitespaces": 8,
"n_words": 6,
"vocab_size": 6
} | https://github.com/scikit-learn/scikit-learn.git |
3 | _add_x_axis_labels | def _add_x_axis_labels(self):
val_range = np.arange(
0.5, len(self.bar_names), 1
) # 0.5 shifted so that labels are centered, not on ticks
labels = VGroup()
for i, (value, bar_name) in enumerate(zip(val_range, self.bar_names)):
# to accommodate negati... | 149479f9132daf2266c27caa7a3e11ce06be501d | 12 | probability.py | 211 | Refactored :class:`~.BarChart` and made it inherit from :class:`~.Axes`. (#2387)
* rebase
* fixed None bar_names
* fixed scale issues
* fixed to accept negative bar values
* fixed some bugs
* Added docs for parameters (DRAFT)
* clean up parameters
* more clean up
* clean up __init__
* replac... | 46,048 | 0 | 316 | 135 | 64 | 189,413 | 81 | manim | 27 | manim/mobject/probability.py | Python | 20 | {
"docstring": "Essentially ``:meth:~.NumberLine.add_labels``, but differs in that\n the direction of the label with respect to the x_axis changes to UP or DOWN\n depending on the value.\n\n UP for negative values and DOWN for positive values.\n ",
"language": "en",
"n_whitespaces": 62... | https://github.com/ManimCommunity/manim.git | |
2 | async_cancel_refresh_callback | def async_cancel_refresh_callback(self) -> None:
if self._refresh_callback is not None:
self._refresh_callback()
self._refresh_callback = None
| 274584f2a47b7db9943168316122196a540080e5 | 9 | entity.py | 45 | Add strict typing for litterrobot (#75540) | 116,446 | 0 | 49 | 26 | 11 | 317,880 | 13 | core | 3 | homeassistant/components/litterrobot/entity.py | Python | 5 | {
"docstring": "Clear the refresh callback if it has not already fired.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/home-assistant/core.git | |
8 | all_displays | def all_displays():
# lazy import to avoid circular imports from sklearn.base
from ._testing import ignore_warnings
all_classes = []
root = str(Path(__file__).parent.parent) # sklearn package
# Ignore deprecation warnings triggered at import time and from walking
# packages
with ignor... | b22f7fa552c03aa7f6b9b4d661470d0173f8db5d | 17 | discovery.py | 258 | MNT numpydoc validation for Displays (#21469)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com> | 76,673 | 0 | 304 | 153 | 69 | 261,168 | 91 | scikit-learn | 37 | sklearn/utils/discovery.py | Python | 21 | {
"docstring": "Get a list of all displays from `sklearn`.\n\n Returns\n -------\n displays : list of tuples\n List of (name, class), where ``name`` is the display class name as\n string and ``class`` is the actual type of the class.\n ",
"language": "en",
"n_whitespaces": 63,
"n_words... | https://github.com/scikit-learn/scikit-learn.git | |
4 | on_mode_entered | def on_mode_entered(self, mode):
if (config.val.tabs.mode_on_change == 'restore' and
mode in modeman.INPUT_MODES):
tab = self.widget.currentWidget()
if tab is not None:
assert isinstance(tab, browsertab.AbstractTab), tab
tab.data.i... | a20bb67a878b2e68abf8268c1b0a27f018d01352 | 12 | tabbedbrowser.py | 96 | mypy: Upgrade to PyQt5-stubs 5.15.6.0
For some unknown reason, those new stubs cause a *lot* of things now to be
checked by mypy which formerly probably got skipped due to Any being implied
somewhere.
The stubs themselves mainly improved, with a couple of regressions too.
In total, there were some 337 (!) new mypy e... | 117,362 | 0 | 107 | 60 | 21 | 320,800 | 26 | qutebrowser | 17 | qutebrowser/mainwindow/tabbedbrowser.py | Python | 7 | {
"docstring": "Save input mode when tabs.mode_on_change = restore.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | https://github.com/qutebrowser/qutebrowser.git | |
5 | user_state_dir | def user_state_dir(appname=None, appauthor=None, version=None, roaming=False):
r
if system in ["win32", "darwin"]:
path = user_data_dir(appname, appauthor, None, roaming)
else:
path = os.getenv('XDG_STATE_HOME', os.path.expanduser("~/.local/state"))
if appname:
path = os.... | 47b5c8af57f0f927d50fe94f3474b09a54292553 | 14 | appdirs.py | 150 | Standardize cache directory | 7,368 | 0 | 91 | 95 | 28 | 40,266 | 38 | seaborn | 12 | seaborn/external/appdirs.py | Python | 40 | {
"docstring": "Return full path to the user-specific state dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this ap... | https://github.com/mwaskom/seaborn.git | |
2 | test_01_drop_predictor | def test_01_drop_predictor(self):
if self.test_model_1 not in self.handler.get_tables().data_frame.values:
# TODO: seems redundant because of test_02
query = f
self.handler.native_query(query)
response = self.handler.native_query(f"DROP PREDICTOR {self.test_model_1}")... | 871793d4fbd99f454c0c1ff14db6ce3c385e656c | 11 | test_lightwood_handler.py | 120 | add more TS tests | 25,578 | 0 | 79 | 58 | 25 | 115,838 | 26 | mindsdb | 16 | mindsdb/integrations/handlers/lightwood_handler/tests/test_lightwood_handler.py | Python | 10 | {
"docstring": "\n CREATE PREDICTOR {self.test_model_1}\n FROM {PG_HANDLER_NAME} (SELECT * FROM {self.data_table_1} limit 50)\n PREDICT rental_price\n ",
"language": "en",
"n_whitespaces": 70,
"n_words": 13,
"vocab_size": 12
} | https://github.com/mindsdb/mindsdb.git | |
1 | truncated_cube_graph | def truncated_cube_graph(create_using=None):
description = [
"adjacencylist",
"Truncated Cube Graph",
24,
[
[2, 3, 5],
[12, 15],
[4, 5],
[7, 9],
[6],
[17, 19],
[8, 9],
[11, 13],
... | dec723f072eb997a497a159dbe8674cd39999ee9 | 9 | small.py | 197 | Docstrings for the small.py module (#5240)
* added description for the first 5 small graphs
* modified descriptions based on comment and added description for two more functions
* added doctrings to all the functions
* Minor touchups.
Co-authored-by: Ross Barnowski <rossbar@berkeley.edu> | 41,741 | 0 | 370 | 152 | 46 | 176,171 | 56 | networkx | 5 | networkx/generators/small.py | Python | 34 | {
"docstring": "\n Returns the skeleton of the truncated cube.\n\n The truncated cube is an Archimedean solid with 14 regular\n faces (6 octagonal and 8 triangular), 36 edges and 24 nodes [1]_.\n The truncated cube is created by truncating (cutting off) the tips\n of the cube one third of the way into ... | https://github.com/networkx/networkx.git | |
8 | on_no_available_trials | def on_no_available_trials(self, all_trials):
# This is approximately saying we are not making progress.
if len(all_trials) == self._last_trial_num:
if self._no_running_trials_since == -1:
self._no_running_trials_since = time.monotonic()
elif (
... | eb69c1ca286a2eec594f02ddaf546657a8127afd | 20 | insufficient_resources_manager.py | 217 | [air] Add annotation for Tune module. (#27060)
Co-authored-by: Kai Fricke <kai@anyscale.com> | 28,086 | 0 | 602 | 125 | 72 | 126,210 | 108 | ray | 19 | python/ray/tune/execution/insufficient_resources_manager.py | Python | 22 | {
"docstring": "Tracks information across the life of Tune loop and makes guesses\n about if Tune loop is stuck due to infeasible resources.\n If so, outputs certain warning messages.\n The logic should be conservative, non-intrusive and informative.\n For example, rate limiting is applied... | https://github.com/ray-project/ray.git | |
1 | test_door_lock_no_value | async def test_door_lock_no_value(hass, client, lock_schlage_be469_state, integration):
node_state = replace_value_of_zwave_value(
lock_schlage_be469_state,
[
ZwaveValueMatcher(
property_=CURRENT_MODE_PROPERTY,
command_class=CommandClass.DOOR_LOCK,
... | d4c28e04e4793c328d1a1d096c2085ebbe7c5e7c | 13 | test_lock.py | 134 | Reduce missed coverage in zwave_js (#79571)
* Reduce missed coverage in zwave_js.climate and cover
* Add switch platform coverage
* Add select platform
* Add lock platform
* Remove one line of coverage from number platform
* update docstring | 88,425 | 0 | 144 | 85 | 31 | 289,282 | 37 | core | 24 | tests/components/zwave_js/test_lock.py | Python | 17 | {
"docstring": "Test a lock entity with door lock command class that has no value for mode.",
"language": "en",
"n_whitespaces": 14,
"n_words": 15,
"vocab_size": 14
} | https://github.com/home-assistant/core.git | |
2 | make_model | def make_model():
r
inputs = []
intermediates = []
for _ in range(_NUM_LEARNERS):
inp = keras.layers.Input(shape=(1,), dtype=tf.int32)
layer = keras.layers.Embedding(1, 4)(inp)
layer = keras.layers.Dense(1)(layer)
inputs.append(inp)
intermediates.append(layer)
... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 12 | optimizer_v2_test.py | 454 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,429 | 0 | 229 | 123 | 57 | 275,572 | 86 | keras | 44 | keras/optimizers/optimizer_v2/optimizer_v2_test.py | Python | 41 | {
"docstring": "Constructs a simple ensemble of weak learners model.\n\n --------- --------- --------- ---------\n | Input | | Input | ... | Input | | Input |\n --------- --------- --------- ---------\n | | | |... | https://github.com/keras-team/keras.git | |
2 | add_department_leaves | def add_department_leaves(events, start, end, employee, company):
department = frappe.db.get_value("Employee", employee, "department")
if not department:
return
# department leaves
department_employees = frappe.db.sql_list(
,
(department, company),
)
filter_conditions = ' and employee in ("%s")' % '", "'... | 494bd9ef78313436f0424b918f200dab8fc7c20b | 10 | leave_application.py | 113 | style: format code with black | 14,117 | 0 | 28 | 71 | 33 | 66,160 | 39 | erpnext | 15 | erpnext/hr/doctype/leave_application/leave_application.py | Python | 11 | {
"docstring": "select name from tabEmployee where department=%s\n\t\tand company=%s",
"language": "en",
"n_whitespaces": 6,
"n_words": 8,
"vocab_size": 8
} | https://github.com/frappe/erpnext.git | |
1 | test_dataset_stats_read_parquet | def test_dataset_stats_read_parquet(ray_start_regular_shared, tmp_path):
ds = ray.data.range(1000, parallelism=10)
ds.write_parquet(str(tmp_path))
ds = ray.data.read_parquet(str(tmp_path)).map(lambda x: x)
stats = canonicalize(ds.stats())
print(stats)
assert stats ==
| e9068c45faf2928cd8e38f6d38c5260cb06130d2 | 12 | test_stats.py | 113 | [data] Instrument most remaining dataset functions and add docs (#21412)
This PR finishes most of the stats todos for dataset. The main thing punted for future work is instrumentation of split(), which is particularly tricky since only certain blocks are transformed.
Co-authored-by: Clark Zinzow <clarkzinzow@gmail.... | 28,886 | 0 | 38 | 69 | 16 | 129,063 | 20 | ray | 16 | python/ray/data/tests/test_stats.py | Python | 20 | {
"docstring": "Stage Z read: N/N blocks executed in T\n* Remote wall time: T min, T max, T mean, T total\n* Remote cpu time: T min, T max, T mean, T total\n* Output num rows: N min, N max, N mean, N total\n* Output size bytes: N min, N max, N mean, N total\n* Tasks per node: N min, N max, N mean; N nodes used\n\nSta... | https://github.com/ray-project/ray.git | |
7 | emitCurrentToken | def emitCurrentToken(self):
token = self.currentToken
# Add token to the queue to be yielded
if (token["type"] in tagTokenTypes):
token["name"] = token["name"].translate(asciiUpper2Lower)
if token["type"] == tokenTypes["StartTag"]:
raw = token["da... | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 17 | _tokenizer.py | 293 | upd; format | 12,978 | 0 | 408 | 162 | 56 | 62,468 | 78 | transferlearning | 17 | .venv/lib/python3.8/site-packages/pip/_vendor/html5lib/_tokenizer.py | Python | 19 | {
"docstring": "This method is a generic handler for emitting the tags. It also sets\n the state to \"data\" because that's what's needed after a token has been\n emitted.\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 27,
"vocab_size": 25
} | https://github.com/jindongwang/transferlearning.git | |
12 | remove | def remove(name=None, pkgs=None, **kwargs):
targets = salt.utils.args.split_input(pkgs) if pkgs else [name]
if not targets:
return {}
if pkgs:
log.debug("Removing these fileset(s)/rpm package(s) %s: %s", name, targets)
errors = []
# Get a list of the currently installed pkgs.... | fbcc707e76f11770712e6828155258ac61e00ff8 | 16 | aixpkg.py | 443 | work in progress while resolve issue of python3_32 usage by dnf and yum | 53,792 | 0 | 513 | 256 | 106 | 215,074 | 157 | salt | 38 | salt/modules/aixpkg.py | Python | 40 | {
"docstring": "\n Remove specified fileset(s)/rpm package(s).\n\n name\n The name of the fileset or rpm package to be deleted.\n\n .. versionadded:: 3005\n\n preference to install rpm packages are to use in the following order:\n /opt/freeware/bin/dnf\n /opt/freeware/bin/... | https://github.com/saltstack/salt.git | |
16 | _async_update_existing_host_entry | def _async_update_existing_host_entry(self) -> config_entries.ConfigEntry | None:
for entry in self._async_current_entries(include_ignore=False):
mac = entry.data.get(CONF_MAC)
mac_match = mac and self._mac and mac == self._mac
upnp_udn_match = self._upnp_udn and sel... | 2d4ccddd99bcc4bd314f813214be693788b1c0bf | 15 | config_flow.py | 312 | Fix SSDP unique id in SamsungTV config flow (#67811)
Co-authored-by: epenet <epenet@users.noreply.github.com>
Co-authored-by: J. Nick Koston <nick@koston.org> | 92,385 | 0 | 401 | 197 | 49 | 293,322 | 86 | core | 26 | homeassistant/components/samsungtv/config_flow.py | Python | 29 | {
"docstring": "Check existing entries and update them.\n\n Returns the existing entry if it was updated.\n ",
"language": "en",
"n_whitespaces": 28,
"n_words": 14,
"vocab_size": 13
} | https://github.com/home-assistant/core.git | |
1 | _load_environment_vars | def _load_environment_vars(self):
# type: () -> None
self._config[kinds.ENV_VAR].update(
self._normalized_keys(":env:", self.get_environ_vars())
)
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 11 | configuration.py | 53 | upd; format | 12,235 | 0 | 50 | 30 | 11 | 60,669 | 11 | transferlearning | 8 | .venv/lib/python3.8/site-packages/pip/_internal/configuration.py | Python | 4 | {
"docstring": "Loads configuration from environment variables\n ",
"language": "en",
"n_whitespaces": 12,
"n_words": 5,
"vocab_size": 5
} | https://github.com/jindongwang/transferlearning.git | |
1 | open | def open(self, host=None, port=None, timeout=None):
self.host = None # For compatibility with parent class
self.port = None
self.sock = None
self.file = None
self.process = subprocess.Popen(self.command,
bufsize=DEFAULT_BUFFER_SIZE,
stdin=s... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 10 | imaplib.py | 139 | add python 3.10.4 for windows | 55,008 | 0 | 133 | 92 | 28 | 217,910 | 37 | XX-Net | 20 | python3.10.4/Lib/imaplib.py | Python | 11 | {
"docstring": "Setup a stream connection.\n This connection will be used by the routines:\n read, readline, send, shutdown.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 16,
"vocab_size": 16
} | https://github.com/XX-net/XX-Net.git | |
13 | collapse_addresses | def collapse_addresses(addresses):
addrs = []
ips = []
nets = []
# split IP addresses and networks
for ip in addresses:
if isinstance(ip, _BaseAddress):
if ips and ips[-1]._version != ip._version:
raise TypeError("%s and %s are not of the same version" % (
... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 18 | ipaddress.py | 333 | add python 3.10.4 for windows | 55,342 | 0 | 448 | 205 | 71 | 218,488 | 128 | XX-Net | 23 | python3.10.4/Lib/ipaddress.py | Python | 28 | {
"docstring": "Collapse a list of IP objects.\n\n Example:\n collapse_addresses([IPv4Network('192.0.2.0/25'),\n IPv4Network('192.0.2.128/25')]) ->\n [IPv4Network('192.0.2.0/24')]\n\n Args:\n addresses: An iterator of IPv4Network or IPv6Network ... | https://github.com/XX-net/XX-Net.git | |
1 | test_creating_algo_config_from_legacy_dict | def test_creating_algo_config_from_legacy_dict(self):
config_dict = {
"evaluation_config": {
"lr": 0.1,
},
"lr": 0.2,
# Old-style multi-agent dict.
"multiagent": {
"policies": {"pol1", "pol2"},
"... | 5af66e66cc6aa3859e2e15637c66f6decbec13b9 | 13 | test_algorithm_config.py | 238 | [RLlib] AlgorithmConfigs: Broad rollout; Example scripts. (#29700) | 30,578 | 0 | 258 | 146 | 45 | 135,275 | 55 | ray | 18 | rllib/algorithms/tests/test_algorithm_config.py | Python | 20 | {
"docstring": "Tests, whether translation from dict to AlgorithmConfig works as expected.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/ray-project/ray.git | |
9 | cov | def cov(self, ddof=1, split_every=None, split_out=1, std=False):
if self.sort is None and split_out > 1:
warnings.warn(SORT_SPLIT_OUT_WARNING, FutureWarning)
levels = _determine_levels(self.by)
is_mask = any(is_series_like(s) for s in self.by)
if self._slice:
... | 72832d4bd685a25000ee646966a1aa5d0d8a1793 | 15 | groupby.py | 368 | Groupby sort upstream compatibility (#9486) | 36,829 | 0 | 400 | 244 | 68 | 157,016 | 87 | dask | 39 | dask/dataframe/groupby.py | Python | 31 | {
"docstring": "Groupby covariance is accomplished by\n\n 1. Computing intermediate values for sum, count, and the product of\n all columns: a b c -> a*a, a*b, b*b, b*c, c*c.\n\n 2. The values are then aggregated and the final covariance value is calculated:\n cov(X, Y) = X*Y - Xbar ... | https://github.com/dask/dask.git | |
4 | copyin_matrix | def copyin_matrix(self, key, value):
rlo, rhi, clo, chi = self.key2bounds(key)
shape = value.shape
dr, dc = rhi - rlo, chi - clo
if shape != (dr, dc):
raise ShapeError(filldedent("The Matrix `value` doesn't have the "
"same dim... | 59d22b6bb7287613d598611027f640d068ca5748 | 13 | repmatrix.py | 150 | Moved imports to higher level | 47,899 | 0 | 219 | 96 | 47 | 196,399 | 62 | sympy | 19 | sympy/matrices/repmatrix.py | Python | 11 | {
"docstring": "Copy in values from a matrix into the given bounds.\n\n Parameters\n ==========\n\n key : slice\n The section of this matrix to replace.\n value : Matrix\n The matrix to copy values from.\n\n Examples\n ========\n\n >>> from sympy ... | https://github.com/sympy/sympy.git | |
8 | step | def step(self) -> ResultDict:
step_attempt_results = None
with self._step_context() as step_ctx:
while not step_ctx.should_stop(step_attempt_results):
# Try to train one step.
try:
step_attempt_results = self.step_attempt()
... | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 19 | trainer.py | 254 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 30,128 | 0 | 726 | 142 | 90 | 133,868 | 123 | ray | 25 | rllib/agents/trainer.py | Python | 43 | {
"docstring": "Implements the main `Trainer.train()` logic.\n\n Takes n attempts to perform a single training step. Thereby\n catches RayErrors resulting from worker failures. After n attempts,\n fails gracefully.\n\n Override this method in your Trainer sub-classes if you would like to\n... | https://github.com/ray-project/ray.git | |
19 | deltaintegrate | def deltaintegrate(f, x):
if not f.has(DiracDelta):
return None
# g(x) = DiracDelta(h(x))
if f.func == DiracDelta:
h = f.expand(diracdelta=True, wrt=x)
if h == f: # can't simplify the expression
#FIXME: the second term tells whether is DeltaDirac or Derivative
... | f757f3daae6e11ea0cfb7dadc133274d8d74315f | 26 | deltafunctions.py | 585 | Reordered imports 2 | 48,168 | 0 | 1,179 | 364 | 173 | 196,780 | 297 | sympy | 40 | sympy/integrals/deltafunctions.py | Python | 48 | {
"docstring": "\n deltaintegrate(f, x)\n\n Explanation\n ===========\n\n The idea for integration is the following:\n\n - If we are dealing with a DiracDelta expression, i.e. DiracDelta(g(x)),\n we try to simplify it.\n\n If we could simplify it, then we integrate the resulting expression.\n... | https://github.com/sympy/sympy.git | |
1 | to_batches | def to_batches(self, *args, **kwargs):
return self.table.to_batches(*args, **kwargs)
| e35be138148333078284b942ccc9ed7b1d826f97 | 8 | table.py | 41 | Update docs to new frontend/UI (#3690)
* WIP: update docs to new UI
* make style
* Rm unused
* inject_arrow_table_documentation __annotations__
* hasattr(arrow_table_method, "__annotations__")
* Update task_template.rst
* Codeblock PT-TF-SPLIT
* Convert loading scripts
* Convert docs to mdx
... | 21,831 | 0 | 21 | 25 | 7 | 104,394 | 7 | datasets | 5 | src/datasets/table.py | Python | 2 | {
"docstring": "\n Convert Table to list of (contiguous) RecordBatch objects.\n\n Args:\n max_chunksize (:obj:`int`, defaults to `None`):\n Maximum size for RecordBatch chunks. Individual chunks may be\n smaller depending on the chunk layout of individual columns... | https://github.com/huggingface/datasets.git | |
5 | check_for_updates | def check_for_updates() -> None:
# The commit has was commented out because the terminal was crashing due to git import for multiple users
# ({str(git.Repo('.').head.commit)[:7]})
try:
r = requests.get(
"https://api.github.com/repos/openbb-finance/openbbterminal/releases/latest",
... | 7b374b76629a963cef9a22b41bc8acbef70e876a | 16 | terminal_helper.py | 202 | Add check for updates at terminal startup (#1839)
* Add check for updates at terminal startup
* Fix ycrv missing from documentation
* Add new line after update check message
Co-authored-by: didierlopes.eth <dro.lopes@campus.fct.unl.pt>
Co-authored-by: James Maslek <jmaslek11@gmail.com> | 84,784 | 0 | 276 | 109 | 70 | 284,534 | 93 | OpenBBTerminal | 15 | openbb_terminal/terminal_helper.py | Python | 27 | {
"docstring": "Check if the latest version is running.\n\n Checks github for the latest release version and compares it to obbff.VERSION.\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 19,
"vocab_size": 16
} | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
1 | load_array | def load_array(data_arrays, batch_size, is_train=True):
dataset = gluon.data.ArrayDataset(*data_arrays)
return gluon.data.DataLoader(dataset, batch_size, shuffle=is_train)
| b64b41d8c1ac23c43f7a4e3f9f6339d6f0012ab2 | 9 | mxnet.py | 59 | [PaddlePaddle] Merge master into Paddle branch (#1186)
* change 15.2 title in chinese version (#1109)
change title ’15.2. 情感分析：使用递归神经网络‘ to ’15.2. 情感分析：使用循环神经网络‘
* 修改部分语义表述 (#1105)
* Update r0.17.5 (#1120)
* Bump versions in installation
* 94行typo: （“bert.mall”）->（“bert.small”） (#1129)
* line 313: "b... | 37,377 | 0 | 20 | 38 | 10 | 158,208 | 11 | d2l-zh | 10 | d2l/mxnet.py | Python | 3 | {
"docstring": "Construct a Gluon data iterator.\n\n Defined in :numref:`sec_linear_concise`",
"language": "en",
"n_whitespaces": 10,
"n_words": 8,
"vocab_size": 8
} | https://github.com/d2l-ai/d2l-zh.git | |
16 | a85decode | def a85decode(b, *, foldspaces=False, adobe=False, ignorechars=b' \t\n\r\v'):
b = _bytes_from_decode_data(b)
if adobe:
if not b.endswith(_A85END):
raise ValueError(
"Ascii85 encoded byte sequences must end "
"with {!r}".format(_A85END)
)
... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 17 | base64.py | 513 | add python 3.10.4 for windows | 56,193 | 0 | 686 | 281 | 138 | 221,085 | 212 | XX-Net | 34 | python3.10.4/Lib/base64.py | Python | 47 | {
"docstring": "Decode the Ascii85 encoded bytes-like object or ASCII string b.\n\n foldspaces is a flag that specifies whether the 'y' short sequence should be\n accepted as shorthand for 4 consecutive spaces (ASCII 0x20). This feature is\n not supported by the \"standard\" Adobe encoding.\n\n adobe cont... | https://github.com/XX-net/XX-Net.git | |
2 | _load_formatters | def _load_formatters(module_name):
mod = __import__(module_name, None, None, ['__all__'])
for formatter_name in mod.__all__:
cls = getattr(mod, formatter_name)
_formatter_cache[cls.name] = cls
| f3166e673fe8d40277b804d35d77dcdb760fc3b3 | 10 | __init__.py | 68 | 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... | 3,315 | 0 | 42 | 43 | 15 | 20,293 | 19 | pipenv | 10 | pipenv/patched/notpip/_vendor/pygments/formatters/__init__.py | Python | 5 | {
"docstring": "Load a formatter (and all others in the module too).",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/pypa/pipenv.git | |
1 | test_resolved_in_release_performance_issue | def test_resolved_in_release_performance_issue(self, mock_func):
event = self.create_performance_issue()
notification = ResolvedInReleaseActivityNotification(
Activity(
project=self.project,
group=event.group,
user=self.user,
... | 495d45c6547e398a5d4d3c1fa8cb97e69b1751f8 | 14 | test_resolved_in_release.py | 230 | ref(slack): Update workflow alerts for perf issues (#40463)
Slack workflow alerts for performance issues are showing a text value of
"no value". This PR adds feature parity with error issues for workflow
alerts so that they are shown with the proper data. | 18,284 | 0 | 317 | 122 | 58 | 87,329 | 74 | sentry | 25 | tests/sentry/integrations/slack/notifications/test_resolved_in_release.py | Python | 25 | {
"docstring": "\n Test that a Slack message is sent with the expected payload when a performance issue is resolved in a release\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 20,
"vocab_size": 17
} | https://github.com/getsentry/sentry.git | |
4 | make_png | def make_png(cls, tex, fontsize, dpi):
basefile = cls.get_basefile(tex, fontsize, dpi)
pngfile = '%s.png' % basefile
# see get_rgba for a discussion of the background
if not os.path.exists(pngfile):
dvifile = cls.make_dvi(tex, fontsize)
cmd = ["dvipng", "... | 13147992b317c29c6e832ca7f6d05bf48aeb0718 | 14 | texmanager.py | 198 | Move towards making texmanager stateless.
Previously, TexManager needed to call get_font_config at a specific
place in the middle of processing to update some internal attributes
before proceeding with TeX source generation. Instead, move towards
making TexManager stateless (except for caching), i.e. the user facing
... | 23,022 | 0 | 276 | 117 | 78 | 108,023 | 94 | matplotlib | 21 | lib/matplotlib/texmanager.py | Python | 12 | {
"docstring": "\n Generate a png file containing latex's rendering of tex string.\n\n Return the file name.\n ",
"language": "en",
"n_whitespaces": 36,
"n_words": 14,
"vocab_size": 13
} | https://github.com/matplotlib/matplotlib.git | |
3 | _wait_threads | def _wait_threads(self):
# Note that you need two loops, since you can't say which
# thread will get each sentinel
for t in self._threads:
self._to_fetch.put(None) # sentinel
for t in self._threads:
t.join()
self._threads = []
| f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | 10 | locators.py | 68 | upd; format | 12,843 | 0 | 102 | 39 | 27 | 62,036 | 35 | transferlearning | 7 | .venv/lib/python3.8/site-packages/pip/_vendor/distlib/locators.py | Python | 6 | {
"docstring": "\n Tell all the threads to terminate (by sending a sentinel value) and\n wait for them to do so.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 17
} | https://github.com/jindongwang/transferlearning.git | |
2 | table_id | def table_id(connection, table_name, schema_name=None):
schema_idm = schema_id(connection=connection,schema_name=schema_name)
q = f
cur = connection.cursor()
cur.execute(q)
try:
table_id = cur.fetchall()[0][0]
except:
raise exc.NoSuchTableError(table_name)
... | 3d8422b16d8ad72005ffed2f7869eefe0b330c35 | 12 | monet_get_id.py | 117 | utils used for getting schema_id and table_id | 25,664 | 0 | 70 | 67 | 19 | 116,090 | 23 | mindsdb | 13 | mindsdb/integrations/handlers/monetdb_handler/utils/monet_get_id.py | Python | 15 | {
"docstring": "Fetch the id for schema.table_name, defaulting to current schema if\n schema is None\n \n SELECT id\n FROM sys.tables\n WHERE name = '{table_name}'\n AND schema_id = {schema_idm}\n ",
"language": "en",
"n_whitespaces": 70,
"n_words": 25,
"vocab_size"... | https://github.com/mindsdb/mindsdb.git | |
1 | is_flow_ready | def is_flow_ready(self, **kwargs) -> bool:
return run_async(self.client._is_flow_ready, **kwargs)
dry_run = deprecate_by(is_flow_ready)
| 273fda5a86da0d6bf48f423fa50700e828b40be6 | 9 | mixin.py | 48 | refactor: merge dryrun into ping (#5151)
* refactor: merge dryrun into ping
* style: fix overload and cli autocomplete
* refactor: merge dryrun into ping
* refactor: merge dryrun into ping
* refactor: merge dryrun into ping
* refactor: merge dryrun into ping
Co-authored-by: Jina Dev Bot <dev-bot@jina... | 2,490 | 0 | 28 | 23 | 10 | 12,995 | 11 | jina | 9 | jina/clients/mixin.py | Python | 7 | {
"docstring": "Check if the Flow is ready to receive requests\n\n :param kwargs: potential kwargs received passed from the public interface\n :return: boolean indicating the health/readiness of the Flow\n ",
"language": "en",
"n_whitespaces": 48,
"n_words": 27,
"vocab_size": 23
} | https://github.com/jina-ai/jina.git | |
1 | is_decompressed_wo_data | def is_decompressed_wo_data(self) -> bool:
return type(self._pb_body) is jina_pb2.DataRequestProtoWoData
| c3849c6fee4a65a77a82b2cfda9670d727ff0f53 | 9 | data.py | 33 | feat: allow to access parameters of data request wo loading data (#4991) | 2,382 | 0 | 22 | 19 | 8 | 12,696 | 8 | jina | 7 | jina/types/request/data.py | Python | 7 | {
"docstring": "\n Checks if the underlying proto object was already deserialized into a :class:`jina.proto.jina_pb2.DataRequestProtoWoData`. It means that the proto is loaded without the data ( docs ).\n\n :return: True if the proto was deserialized before into a DataRequest without docs\n ",
... | https://github.com/jina-ai/jina.git | |
3 | _update_trackables | def _update_trackables(self):
for trackable_obj in self._self_tracked_trackables:
if isinstance(
trackable_obj, tf.__internal__.tracking.TrackableDataStructure
):
self._track_variables(trackable_obj)
| 00524152437b957ca4e850a5db014e223d3c6826 | 12 | base_layer.py | 54 | isort, black and flake8 checked | 83,115 | 0 | 78 | 33 | 12 | 279,734 | 12 | keras | 10 | keras/engine/base_layer.py | Python | 6 | {
"docstring": "Track variables added to lists/dicts after creation",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | https://github.com/keras-team/keras.git | |
3 | get_unpositioned_tip | def get_unpositioned_tip(self, tip_shape=None, tip_length=None):
from manim.mobject.geometry.tips import ArrowTriangleFilledTip
if tip_shape is None:
tip_shape = ArrowTriangleFilledTip
if tip_length is None:
tip_length = self.get_default_tip_length()
col... | e040bcacd38378386749db18aeba575b93f4ebca | 10 | arc.py | 134 | Improved structure of the :mod:`.mobject` module (#2476)
* group graphing and update its references
* group text and update its references
* group opengl and update its references
* group three_d and update its references
* group geometry and update (most) references
* move some chaning.py + updater fil... | 46,162 | 0 | 123 | 83 | 27 | 189,675 | 38 | manim | 17 | manim/mobject/geometry/arc.py | Python | 11 | {
"docstring": "\n Returns a tip that has been stylistically configured,\n but has not yet been given a position in space.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 15
} | https://github.com/ManimCommunity/manim.git | |
29 | fit | def fit(self, X, y, sample_weight=None):
solver = _check_solver(self.solver, self.penalty, self.dual)
if not isinstance(self.C, numbers.Number) or self.C < 0:
raise ValueError("Penalty term must be positive; got (C=%r)" % self.C)
if self.penalty == "elasticnet":
... | 5f75acdd12d77b973471961ad716367c6199d01c | 16 | _logistic.py | 1,352 | MNT Bump joblib version dependency to 1.0.0 (#22365) | 75,396 | 0 | 2,295 | 858 | 258 | 258,737 | 490 | scikit-learn | 81 | sklearn/linear_model/_logistic.py | Python | 152 | {
"docstring": "\n Fit the model according to the given training data.\n\n Parameters\n ----------\n X : {array-like, sparse matrix} of shape (n_samples, n_features)\n Training vector, where `n_samples` is the number of samples and\n `n_features` is the number of feat... | https://github.com/scikit-learn/scikit-learn.git | |
1 | ds | def ds(self):
return DeepsetCloudDocumentStore(api_endpoint=DC_API_ENDPOINT, api_key=DC_API_KEY, index=DC_TEST_INDEX)
# Integration tests
| 255072d8d548a19a1678ddc46b41d41cf5d09bc4 | 8 | test_deepsetcloud.py | 35 | refactor: move dC tests to their own module and job (#3529)
* move dC tests to their own module and job
* restore global var
* revert | 75,193 | 0 | 26 | 21 | 9 | 258,161 | 9 | haystack | 9 | test/document_stores/test_deepsetcloud.py | Python | 2 | {
"docstring": "\n We make this fixture depend on `dc_api_mock` so that passing the document store will\n activate the mocking and we spare one function parameter.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 23,
"vocab_size": 22
} | https://github.com/deepset-ai/haystack.git | |
6 | _postprocess | def _postprocess(self, inputs):
results = []
for examples, texts, temp_results in zip(inputs['batch_examples'],
inputs['batch_texts'],
inputs['batch_results']):
for i in range(len(exam... | 1e2ee01dade0d4076ba98aa613c3eb150c615abb | 17 | text_correction.py | 297 | Update Taskflow word_segmentation and ner tasks (#1666)
* Add AutoSplitter & AutoJoiner
* codestyle fix
* unify auto joiner
* add comments
* add sentence split mode
* update params
* add paddle version check
* add wordtag for word_segmentation
* add wordtag for word_segmentation
* add ner-la... | 118,205 | 0 | 565 | 186 | 54 | 322,613 | 77 | PaddleNLP | 26 | paddlenlp/taskflow/text_correction.py | Python | 27 | {
"docstring": "\n The model output is the logits and probs, this function will convert the model output to raw text.\n ",
"language": "en",
"n_whitespaces": 33,
"n_words": 18,
"vocab_size": 15
} | https://github.com/PaddlePaddle/PaddleNLP.git | |
16 | label_tag | def label_tag(self, contents=None, attrs=None, label_suffix=None, tag=None):
contents = contents or self.label
if label_suffix is None:
label_suffix = (
self.field.label_suffix
if self.field.label_suffix is not None
else self.form.labe... | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 15 | boundfield.py | 380 | Refs #33476 -- Reformatted code with Black. | 51,286 | 0 | 497 | 230 | 94 | 205,927 | 142 | django | 23 | django/forms/boundfield.py | Python | 30 | {
"docstring": "\n Wrap the given contents in a <label>, if the field has an ID attribute.\n contents should be mark_safe'd to avoid HTML escaping. If contents\n aren't given, use the field's HTML-escaped label.\n\n If attrs are given, use them as HTML attributes on the <label> tag.\n\n ... | https://github.com/django/django.git | |
3 | __call__ | def __call__(self, bbox_pred, gt_bboxes):
if self.box_format == 'xywh':
gt_bboxes = bbox_xyxy_to_cxcywh(gt_bboxes)
elif self.box_format == 'xyxy':
bbox_pred = bbox_cxcywh_to_xyxy(bbox_pred)
bbox_cost = torch.cdist(bbox_pred, gt_bboxes, p=1)
return bbox_co... | cac356380d505bf15587f07c0529218cc36b9652 | @MATCH_COST.register_module() | 11 | match_cost.py | 103 | [Feature] Add Maskformer to mmdet (#7212)
* first commit
* add README
* move model description from config to readme
add description for binary_input
add description for dice loss
add a independent panoptic gt processing function
add a independent panoptic gt processing function
remove compatibili... | 70,199 | 1 | 84 | 56 | 23 | 244,027 | 28 | mmdetection | 14 | mmdet/core/bbox/match_costs/match_cost.py | Python | 7 | {
"docstring": "\n Args:\n bbox_pred (Tensor): Predicted boxes with normalized coordinates\n (cx, cy, w, h), which are all in range [0, 1]. Shape\n (num_query, 4).\n gt_bboxes (Tensor): Ground truth boxes with normalized\n coordinates (x1, y1, ... | https://github.com/open-mmlab/mmdetection.git |
2 | _get_queryset | def _get_queryset(klass):
# If it is a model class or anything else with ._default_manager
if hasattr(klass, "_default_manager"):
return klass._default_manager.all()
return klass
| 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | 10 | shortcuts.py | 44 | Refs #33476 -- Reformatted code with Black. | 51,389 | 0 | 40 | 24 | 20 | 206,164 | 21 | django | 5 | django/shortcuts.py | Python | 4 | {
"docstring": "\n Return a QuerySet or a Manager.\n Duck typing in action: any class with a `get()` method (for\n get_object_or_404) or a `filter()` method (for get_list_or_404) might do\n the job.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 28,
"vocab_size": 22
} | https://github.com/django/django.git | |
3 | _get_classifier_artifacts | def _get_classifier_artifacts(fitted_estimator, prefix, X, y_true, sample_weight):
import sklearn
if not _is_plotting_supported():
return []
| 847eb6b22d03f0cffef945996cf835272870435a | 8 | utils.py | 41 | Improve confusion matrix plot (#5273)
* update
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
* fix
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
* update
Signed-off-by: Weichen Xu <weichen.xu@databricks.com> | 2,909 | 0 | 29 | 187 | 13 | 19,198 | 13 | mlflow | 8 | mlflow/sklearn/utils.py | Python | 48 | {
"docstring": "\n Draw and record various common artifacts for classifier\n\n For all classifiers, we always log:\n (1) confusion matrix:\n https://scikit-learn.org/stable/modules/generated/sklearn.metrics.plot_confusion_matrix.html\n\n For only binary classifiers, we will log:\n (2) precision reca... | https://github.com/mlflow/mlflow.git | |
1 | mock_device_tracker_update_config | def mock_device_tracker_update_config():
with patch("homeassistant.components.device_tracker.legacy.update_config"):
yield
| 31a787558fd312331b55e5c2c4b33341fc3601fc | 10 | test_init.py | 29 | Ensure recorder test fixture is setup before hass fixture (#80528)
* Ensure recorder test fixture is setup before hass fixture
* Adjust more tests | 88,492 | 0 | 18 | 12 | 5 | 289,350 | 5 | core | 2 | tests/components/demo/test_init.py | Python | 3 | {
"docstring": "Prevent device tracker from creating known devices file.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | https://github.com/home-assistant/core.git | |
2 | coplanar | def coplanar(self, other):
aq = self.axis()
ar = other.axis()
return (aq == ar or aq == -ar)
| e8c5f4fe692e863bf0a48573a1d0c7b92487c5c1 | 9 | quaternion.py | 56 | hamilton | 47,953 | 0 | 45 | 33 | 13 | 196,513 | 17 | sympy | 6 | sympy/algebras/quaternion.py | Python | 4 | {
"docstring": "\n Returns if the two quaternions are coplanar or not.\n\n Parameters\n ==========\n\n other : a quaternion\n\n Examples\n ========\n\n >>> from sympy.algebras.quaternion import Quaternion\n >>> q = Quaternion(1, 4, 4, 4)\n >>> q1 = Quater... | https://github.com/sympy/sympy.git | |
2 | _TLS_Ext_CertTypeDispatcher | def _TLS_Ext_CertTypeDispatcher(m, *args, **kargs):
tmp_len = struct.unpack("!H", m[2:4])[0]
if tmp_len == 1:
cls = TLS_Ext_ServerCertType
else:
cls = TLS_Ext_ClientCertType
return cls(m, *args, **kargs)
| 2001f35c7a9762d2d58f5ec402d93d10bbfd8e10 | 11 | extensions.py | 87 | Fix spellcheck | 52,772 | 0 | 52 | 54 | 18 | 209,767 | 23 | scapy | 10 | scapy/layers/tls/extensions.py | Python | 7 | {
"docstring": "\n We need to select the correct one on dissection. We use the length for\n that, as 1 for client version would imply an empty list.\n ",
"language": "en",
"n_whitespaces": 35,
"n_words": 25,
"vocab_size": 22
} | https://github.com/secdev/scapy.git | |
2 | _set_gradient_checkpointing | def _set_gradient_checkpointing(self, module, value=False):
if isinstance(module, (Data2VecAudioEncoder, Data2VecAudioFeatureEncoder)):
module.gradient_checkpointing = value
DATA2VEC_AUDIO_START_DOCSTRING = r
DATA2VEC_AUDIO_INPUTS_DOCSTRING = r
@add_start_docstrings(
"The bare Data2VecAudi... | df5a4094a6e3f98f2cb2058cdb688fcc3f453220 | @add_start_docstrings(
"The bare Data2VecAudio Model transformer outputting raw hidden-states without any specific head on top.",
DATA2VEC_AUDIO_START_DOCSTRING,
) | 9 | modeling_data2vec_audio.py | 69 | Add Data2Vec (#15507)
* Add data2vec model cloned from roberta
* Add checkpoint conversion script
* Fix copies
* Update docs
* Add checkpoint conversion script
* Remove fairseq data2vec_text script and fix format
* Add comment on where to get data2vec_text.py
* Remove mock implementation cheat.py ... | 6,521 | 1 | 53 | 28 | 31 | 35,671 | 34 | transformers | 11 | src/transformers/models/data2vec/modeling_data2vec_audio.py | Python | 3 | {
"docstring": "\n Data2VecAudio was proposed in [data2vec: A General Framework for Self-supervised Learning in Speech, Vision and\n Language](https://arxiv.org/pdf/2202.03555) by Alexei Baevski, Wei-Ning Hsu, Qiantong Xu, Arun Babu, Jiatao Gu and\n Michael Auli.\n\n This model inherits from [`PreTrainedM... | https://github.com/huggingface/transformers.git |
1 | print_help | def print_help(self):
help_text = f
console.print(text=help_text, menu="Econometrics")
| f2ca215132de40804667feb4deaa0c6b8bfc3d25 | 12 | econometrics_controller.py | 60 | Econometrics Menu (#1403)
* Add Statistics Menu
* Add Granger Causality test
* Apply Black formatting
* Add Cointegration Tests
* Adjust plotting for Cointegration test
* Add Significant parameter to Cointegration tests
* Move regression functions to seperate .py files
* Progress on Panel Data
* A lot of progr... | 84,276 | 0 | 28 | 22 | 7 | 282,726 | 7 | OpenBBTerminal | 9 | gamestonk_terminal/econometrics/econometrics_controller.py | Python | 35 | {
"docstring": "Print help[cmds]\n load load in custom data sets\n export export a dataset\n remove remove a dataset\n options show available column-dataset options[/cmds]\n\n[param]Loaded files:[/param] {\", \".join(self.files) or None}[cmds]\n\nExploration\n sh... | https://github.com/OpenBB-finance/OpenBBTerminal.git | |
7 | print_dict | def print_dict(d, logger, delimiter=0):
for k, v in sorted(d.items()):
if isinstance(v, dict):
logger.info("{}{} : ".format(delimiter * " ", str(k)))
print_dict(v, logger, delimiter + 4)
elif isinstance(v, list) and len(v) >= 1 and isinstance(v[0], dict):
log... | 11f6ff38dcc61348aa4aae8ad2fbbe42b0eab34d | @functools.lru_cache() | 16 | utils.py | 234 | add supplementary | 4,507 | 1 | 156 | 139 | 37 | 23,061 | 60 | PaddleOCR | 18 | test_tipc/supplementary/utils.py | Python | 11 | {
"docstring": "\n Recursively visualize a dict and\n indenting acrrording by the relationship of keys.\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 12,
"vocab_size": 12
} | https://github.com/PaddlePaddle/PaddleOCR.git |
6 | is_tradesignal | def is_tradesignal(self, action):
# trade signal
return not ((action == Actions.Neutral.value and self._position == Positions.Neutral)
or (action == Actions.Short.value and self._position == Positions.Short)
or (action == Actions.Long.value and self._posi... | 8eeaab27467fa2e0bdc7314bdb888998bbb20af8 | 14 | RLPrediction_env.py | 102 | add reward function | 34,793 | 0 | 90 | 65 | 20 | 150,565 | 31 | freqtrade | 10 | freqtrade/freqai/prediction_models/RL/RLPrediction_env.py | Python | 4 | {
"docstring": "\n not trade signal is :\n Action: Neutral, position: Neutral -> Nothing\n Action: Long, position: Long -> Hold Long\n Action: Short, position: Short -> Hold Short\n ",
"language": "en",
"n_whitespaces": 61,
"n_words": 25,
"vocab_size": 16
} | https://github.com/freqtrade/freqtrade.git | |
3 | testPlacementGroupDistributedTraining | def testPlacementGroupDistributedTraining(self, reuse_actors=False):
head_bundle = {"CPU": 1, "GPU": 0, "custom": 0}
child_bundle = {"CPU": 1}
placement_group_factory = PlacementGroupFactory(
[head_bundle, child_bundle, child_bundle, child_bundle]
)
| 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | 9 | test_trial_runner_pg.py | 77 | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 29,793 | 0 | 69 | 213 | 19 | 132,695 | 23 | ray | 7 | python/ray/tune/tests/test_trial_runner_pg.py | Python | 31 | {
"docstring": "Run distributed training using placement groups.\n\n Each trial requests 4 CPUs and starts 4 remote training workers.\n ",
"language": "en",
"n_whitespaces": 31,
"n_words": 17,
"vocab_size": 15
} | https://github.com/ray-project/ray.git | |
11 | start | def start(self) -> 'Deployment':
if self.is_sandbox and not self._sandbox_deployed:
self.update_sandbox_args()
if self.pod_args['uses_before'] is not None:
_args = self.pod_args['uses_before']
if getattr(self.args, 'noblock_on_start', False):
... | 7c4c39a9d82c58ef2493c21a288c755901a9594e | 13 | __init__.py | 417 | fix: do not deploy sandbox on init (#4844) | 2,287 | 0 | 420 | 256 | 43 | 12,429 | 87 | jina | 20 | jina/orchestrate/deployments/__init__.py | Python | 40 | {
"docstring": "\n Start to run all :class:`Pod` in this BaseDeployment.\n\n :return: started deployment\n\n .. note::\n If one of the :class:`Pod` fails to start, make sure that all of them\n are properly closed.\n ",
"language": "en",
"n_whitespaces": 81,
"n_w... | https://github.com/jina-ai/jina.git | |
1 | test_roots | def test_roots(self):
with DAG("test_dag", start_date=DEFAULT_DATE) as dag:
op1 = EmptyOperator(task_id="t1")
op2 = EmptyOperator(task_id="t2")
op3 = EmptyOperator(task_id="t3")
op4 = EmptyOperator(task_id="t4")
op5 = EmptyOperator(task_id="t5... | 49e336ae0302b386a2f47269a6d13988382d975f | 12 | test_dag.py | 148 | Replace usage of `DummyOperator` with `EmptyOperator` (#22974)
* Replace usage of `DummyOperator` with `EmptyOperator` | 9,164 | 0 | 125 | 86 | 28 | 47,576 | 34 | airflow | 15 | tests/models/test_dag.py | Python | 9 | {
"docstring": "Verify if dag.roots returns the root tasks of a DAG.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | https://github.com/apache/airflow.git | |
9 | _post_validate_environment | def _post_validate_environment(self, attr, value, templar):
env = {}
if value is not None:
| 884244f1b2da3c3f367e064ef4ac0123fcb12675 | 7 | task.py | 35 | Python 3.9 min for controller (#77566) | 79,001 | 0 | 34 | 137 | 13 | 267,689 | 13 | ansible | 6 | lib/ansible/playbook/task.py | Python | 22 | {
"docstring": "\n Override post validation of vars on the play, as we don't want to\n template these too early.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 17
} | https://github.com/ansible/ansible.git | |
3 | get_edge_data | def get_edge_data(self, u, v, key=None, default=None):
try:
if key is None:
return self._adj[u][v]
else:
return self._adj[u][v][key]
except KeyError:
return default
| 8f4c99debc9440728c5e85f8bffa5d26b232eb6f | 14 | multigraph.py | 83 | Multigraph docs update (#5389)
* Updated MultiDiGraph documentation to include more examples of actually
using parallel edges, and fixed references to things like G[u, v] where
G[u, v, k] is required for a MultiDigraph. Have not made parallel
changes in MultiGraph which should maybe also be made?
Docs tests pass... | 41,879 | 0 | 104 | 55 | 18 | 176,414 | 20 | networkx | 8 | networkx/classes/multigraph.py | Python | 8 | {
"docstring": "Returns the attribute dictionary associated with edge (u, v,\n key).\n\n If a key is not provided, returns a dictionary mapping edge keys\n to attribute dictionaries for each edge between u and v.\n\n This is identical to `G[u][v][key]` except the default is returned\n ... | https://github.com/networkx/networkx.git | |
2 | test_nested_condition_not_filters | def test_nested_condition_not_filters(self, ds, documents):
ds.write_documents(documents)
filters = {
"$not": {
"$or": {
"$and": {"numbers": {"$lt": 5.0}, "month": {"$ne": "01"}},
"$not": {"year": {"$lte": "2021", "$gte": "2020... | 2bb81331b75aec68de0d45c4cb116170d265f1fe | 17 | test_base.py | 366 | feat: add SQLDocumentStore tests (#3517)
* port SQL tests
* cleanup document_store_tests.py from sql tests
* leftover
* Update .github/workflows/tests.yml
Co-authored-by: Sara Zan <sara.zanzottera@deepset.ai>
* review comments
* Update test/document_stores/test_base.py
Co-authored-by: bogdankostic... | 75,190 | 0 | 352 | 202 | 61 | 258,126 | 98 | haystack | 12 | test/document_stores/test_base.py | Python | 25 | {
"docstring": "\n Test nested logical operations within \"$not\", important as we apply De Morgan's laws in WeaviateDocumentstore\n ",
"language": "en",
"n_whitespaces": 30,
"n_words": 15,
"vocab_size": 15
} | https://github.com/deepset-ai/haystack.git | |
2 | _project_modified | def _project_modified(self):
return any(var.get() for var in self._modified_vars.values())
| dab823a3eb7a5257cb1e0818ee10ed234d3de97f | 11 | project.py | 43 | Typing - lib.gui.display_command | 21,303 | 0 | 22 | 25 | 8 | 101,924 | 8 | faceswap | 7 | lib/gui/project.py | Python | 2 | {
"docstring": "bool: ``True`` if the project has been modified otherwise ``False``. ",
"language": "en",
"n_whitespaces": 10,
"n_words": 10,
"vocab_size": 10
} | https://github.com/deepfakes/faceswap.git | |
1 | test_get_pdu_event_from_cache_is_pristine | def test_get_pdu_event_from_cache_is_pristine(self):
# Get the PDU in the cache
remote_pdu = self._get_pdu_once()
# Modify the the event reference.
# This change should not make it back to the `_get_pdu_cache`.
remote_pdu.internal_metadata.outlier = True
# Get... | 0f971ca68e808dd16f53f5594a6b33b7bddcc9a9 | 13 | test_federation_client.py | 135 | Update `get_pdu` to return the original, pristine `EventBase` (#13320)
Update `get_pdu` to return the untouched, pristine `EventBase` as it was originally seen over federation (no metadata added). Previously, we returned the same `event` reference that we stored in the cache which downstream code modified in place and... | 72,509 | 0 | 246 | 80 | 56 | 248,918 | 81 | synapse | 16 | tests/federation/test_federation_client.py | Python | 13 | {
"docstring": "Test that modifications made to events returned by `get_pdu()`\n do not propagate back to to the internal cache (events returned should\n be a copy).\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 24,
"vocab_size": 21
} | https://github.com/matrix-org/synapse.git | |
5 | _store_rejected_events_txn | def _store_rejected_events_txn(self, txn, events_and_contexts):
# Remove the rejected events from the list now that we've added them
# to the events table and the events_json table.
to_remove = set()
for event, context in events_and_contexts:
if context.rejected:
... | 2aa37a4250675f6d9feb57ec0dce65b2a6a3cde6 | 12 | events.py | 100 | Add `state_key` and `rejection_reason` to `events` (#11792)
... and start populating them for new events | 70,993 | 0 | 178 | 63 | 51 | 246,084 | 65 | synapse | 13 | synapse/storage/databases/main/events.py | Python | 7 | {
"docstring": "Add rows to the 'rejections' table for received events which were\n rejected\n\n Args:\n txn (twisted.enterprise.adbapi.Connection): db connection\n events_and_contexts (list[(EventBase, EventContext)]): events\n we are persisting\n\n Returns:\... | https://github.com/matrix-org/synapse.git | |
5 | read_template | def read_template(self):
log.info("reading manifest template '%s'", self.template)
template = TextFile(self.template, strip_comments=1, skip_blanks=1,
join_lines=1, lstrip_ws=1, rstrip_ws=1,
collapse_join=1)
try:
while... | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | 17 | sdist.py | 180 | add python 3.10.4 for windows | 56,758 | 0 | 453 | 110 | 59 | 222,820 | 69 | XX-Net | 23 | python3.10.4/Lib/distutils/command/sdist.py | Python | 18 | {
"docstring": "Read and parse manifest template file named by self.template.\n\n (usually \"MANIFEST.in\") The parsing and processing is done by\n 'self.filelist', which updates itself accordingly.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 23,
"vocab_size": 21
} | https://github.com/XX-net/XX-Net.git | |
3 | _clone | def _clone(self) -> HasProps:
attrs = self.properties_with_values(include_defaults=False, include_undefined=True)
return self.__class__(**{key: val for key, val in attrs.items() if val is not Undefined})
KindRef = Any # TODO
| b23a3b77447ede916b31756fca997cbb1b806de7 | 12 | has_props.py | 84 | Discover unstable defaults in `HasProps.__init__()` (#11959)
* Discover unstable defaults in HasProps.__init__()
* Make HasProps.__getattr__() fail properly
* More sensible implementation of HasProps._clone()
* Make InstanceDefault a generic class
* Fix recursive model definition in tests
* Fix default ... | 53,205 | 0 | 46 | 49 | 23 | 212,208 | 26 | bokeh | 14 | bokeh/core/has_props.py | Python | 8 | {
"docstring": " Duplicate a HasProps object.\n\n Values that are containers are shallow-copied.\n\n ",
"language": "en",
"n_whitespaces": 25,
"n_words": 10,
"vocab_size": 9
} | https://github.com/bokeh/bokeh.git | |
1 | timetz | def timetz(self) -> npt.NDArray[np.object_]:
return ints_to_pydatetime(self.asi8, self.tz, box="time")
| 521259299f7829da667ba39302ec77acedde9e5e | 9 | datetimes.py | 49 | DOC: Improve doc summaries in series.rst (#45237) | 39,395 | 0 | 22 | 30 | 8 | 163,187 | 8 | pandas | 10 | pandas/core/arrays/datetimes.py | Python | 8 | {
"docstring": "\n Returns numpy array of :class:`datetime.time` objects with timezone\n information.\n\n The time part of the Timestamps.\n ",
"language": "en",
"n_whitespaces": 44,
"n_words": 15,
"vocab_size": 14
} | https://github.com/pandas-dev/pandas.git | |
3 | add_project | def add_project(self, project):
from sentry.models import Project
try:
with atomic_transaction(using=router.db_for_write(ReleaseProject)):
created = ReleaseProject.objects.get_or_create(project=project, release=self)[1]
if not project.flags.has_relea... | 5ceb67a008be09eac939346e9882d2ec244b7e45 | 19 | release.py | 150 | fix(releases): Fix bug where project.has_releases would be false when there are releases associated with the project (#34205)
We increment `new_groups` in `ReleaseProject` in buffers. If `ReleaseProject` doesn't already exist,
then buffers will also create the row. The problem here is that we usually rely on
`Releas... | 19,630 | 0 | 153 | 91 | 24 | 99,254 | 28 | sentry | 21 | src/sentry/models/release.py | Python | 11 | {
"docstring": "\n Add a project to this release.\n\n Returns True if the project was added and did not already exist.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 17
} | https://github.com/getsentry/sentry.git | |
3 | build | def build(self, var_list):
super().build(var_list)
if getattr(self, "_built", False):
return
self._built = True
self._momentums = []
self._velocities = []
self._u_product = tf.Variable(1.0, dtype=var_list[0].dtype)
# Keep a counter on how many... | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | 13 | nadam.py | 182 | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 81,352 | 0 | 289 | 113 | 48 | 275,258 | 59 | keras | 18 | keras/optimizers/optimizer_experimental/nadam.py | Python | 20 | {
"docstring": "Initialize optimizer variables.\n\n Nadam optimizer has 2 types of variables: momentums and velocities.\n\n Args:\n var_list: list of model variables to build Nadam variables on.\n ",
"language": "en",
"n_whitespaces": 54,
"n_words": 24,
"vocab_size": 20
} | https://github.com/keras-team/keras.git | |
1 | test_conflicting_autogenerated_basenames | def test_conflicting_autogenerated_basenames(self):
self.router.register(r'notes', NoteViewSet)
with pytest.raises(ImproperlyConfigured):
self.router.register(r'notes_kwduplicate', KWargedNoteViewSet)
with pytest.raises(ImproperlyConfigured):
self.router.regist... | 48a21aa0eb3a95d32456c2a927eff9552a04231e | 10 | test_routers.py | 94 | raise ImproperlyConfigured exception if `basename` is not unique (#8438)
* raise ImproperlyConfigured if basename already exists
* rename already_registered function; return True/False
* additional basename tests
* additional basename tests
* Update rest_framework/routers.py
Co-authored-by: David Graves... | 9,585 | 0 | 62 | 55 | 9 | 48,734 | 12 | django-rest-framework | 9 | tests/test_routers.py | Python | 6 | {
"docstring": "\n Ensure 2 routers with the same model, and no basename specified\n throws an ImproperlyConfigured exception\n ",
"language": "en",
"n_whitespaces": 37,
"n_words": 15,
"vocab_size": 15
} | https://github.com/encode/django-rest-framework.git | |
8 | meshgrid | def meshgrid(*xi, copy=True, sparse=False, indexing='xy'):
ndim = len(xi)
if indexing not in ['xy', 'ij']:
raise ValueError(
"Valid values for `indexing` are 'xy' and 'ij'.")
s0 = (1,) * ndim
output = [np.asanyarray(x).reshape(s0[:i] + (-1,) + s0[i + 1:])
for i, ... | 85a2a7776e8cc01ce3efdc92e262a7764f5fc061 | 13 | function_base.py | 275 | DOC: Fix typo in meshgrid example
coordinate was misspelled in a comment in the example code
[ci skip] | 38,447 | 0 | 198 | 172 | 67 | 159,925 | 98 | numpy | 19 | numpy/lib/function_base.py | Python | 16 | {
"docstring": "\n Return coordinate matrices from coordinate vectors.\n\n Make N-D coordinate arrays for vectorized evaluations of\n N-D scalar/vector fields over N-D grids, given\n one-dimensional coordinate arrays x1, x2,..., xn.\n\n .. versionchanged:: 1.9\n 1-D and 0-D cases are allowed.\n\n... | https://github.com/numpy/numpy.git |
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