complexity int64 1 56 | n_identifiers int64 1 114 | code stringlengths 19 12.7k | path stringlengths 8 134 | n_ast_nodes int64 12 2.35k | ast_errors stringlengths 0 4.01k | repo stringlengths 3 28 | documentation dict | n_words int64 2 866 | language stringclasses 1
value | vocab_size int64 2 323 | commit_id stringlengths 40 40 | file_name stringlengths 5 79 | id int64 243 338k | nloc int64 1 228 | token_counts int64 5 1.4k | fun_name stringlengths 1 77 | url stringlengths 31 60 | commit_message stringlengths 3 15.3k | n_whitespaces int64 1 3.23k | n_ast_errors int64 0 20 | d_id int64 74 121k | ast_levels int64 4 29 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | 6 | def on_predict_end(self, logs=None):
logs = self._process_logs(logs)
for callback in self.callbacks:
callback.on_predict_end(logs)
| keras/callbacks.py | 51 | keras | {
"docstring": "Calls the `on_predict_end` methods of its callbacks.\n\n Args:\n logs: Dict. Currently, no data is passed via this argument\n for this method, but that may change in the future.\n ",
"language": "en",
"n_whitespaces": 66,
"n_words": 28,
"vocab_size": 26
} | 11 | Python | 11 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | callbacks.py | 269,909 | 4 | 31 | on_predict_end | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 43 | 0 | 80,323 | 9 | |
3 | 5 | def get_func(cls, key, **kwargs):
if "agg_func" in kwargs:
return cls.inplace_applyier_builder(key, kwargs["agg_func"])
elif "func_dict" in kwargs:
return cls.inplace_applyier_builder(key, kwargs["func_dict"])
else:
return cls.inplace_applyier_builder... | modin/core/dataframe/algebra/default2pandas/groupby.py | 92 | modin | {
"docstring": "\n Extract aggregation function from groupby arguments.\n\n Parameters\n ----------\n key : callable or str\n Default aggregation function. If aggregation function is not specified\n via groupby arguments, then `key` function is used.\n **kwargs... | 21 | Python | 16 | 1e65a4afd191cf61ba05b80545d23f9b88962f41 | groupby.py | 153,097 | 7 | 54 | get_func | https://github.com/modin-project/modin.git | FIX-#3197: do not pass lambdas to the backend in GroupBy (#3373)
Signed-off-by: Dmitry Chigarev <dmitry.chigarev@intel.com> | 82 | 0 | 35,257 | 12 | |
2 | 30 | def mock_json_schema(request, monkeypatch, tmp_path):
# Do not patch integration tests
if "integration" in request.keywords:
return
# Mock the subclasses list to make it very small, containing only mock nodes
monkeypatch.setattr(
haystack.nodes._json_schema,
"find_subclasse... | test/test_pipeline_yaml.py | 209 | @pytest.mark.integration
@pytest.mark.elasticsearch | haystack | {
"docstring": "\n JSON schema with the unstable version and only mocked nodes.\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 10,
"vocab_size": 10
} | 82 | Python | 68 | 11cf94a9652a577732941f27ad59eb7c8bc5063e | test_pipeline_yaml.py | 256,915 | 13 | 116 | mock_json_schema | https://github.com/deepset-ai/haystack.git | Pipeline's YAML: syntax validation (#2226)
* Add BasePipeline.validate_config, BasePipeline.validate_yaml, and some new custom exception classes
* Make error composition work properly
* Clarify typing
* Help mypy a bit more
* Update Documentation & Code Style
* Enable autogenerated docs for Milvus1 and ... | 148 | 1 | 74,961 | 11 |
2 | 6 | def _get_name_info(name_index, name_list):
argval = name_index
if name_list is not None:
argval = name_list[name_index]
argrepr = argval
else:
argrepr = repr(argval)
return argval, argrepr
| python3.10.4/Lib/dis.py | 63 | XX-Net | {
"docstring": "Helper to get optional details about named references\n\n Returns the dereferenced name as both value and repr if the name\n list is defined.\n Otherwise returns the name index and its repr().\n ",
"language": "en",
"n_whitespaces": 52,
"n_words": 31,
"vocab_size": 26
} | 24 | Python | 17 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | dis.py | 222,538 | 8 | 38 | _get_name_info | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 60 | 0 | 56,627 | 11 | |
9 | 10 | def cast_losses_to_common_dtype(losses):
highest_float = None
for loss in losses:
if loss.dtype.is_floating:
if highest_float is None or loss.dtype.size > highest_float.size:
highest_float = loss.dtype
elif {loss.dtype, highest_float} == {"bfloat16", "float16... | keras/utils/losses_utils.py | 148 | keras | {
"docstring": "Cast a list of losses to a common dtype.\n\n If any loss is floating-point, they will all be casted to the most-precise\n floating-point loss. Otherwise the losses are not casted. We also skip casting\n losses if there are any complex losses.\n\n Args:\n losses: A list of losses.\n\n ... | 61 | Python | 43 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | losses_utils.py | 276,973 | 15 | 91 | cast_losses_to_common_dtype | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 187 | 0 | 81,807 | 14 | |
5 | 17 | def get_available_models() -> List[str]:
modelpath = os.path.join(os.path.dirname(__file__), "train", "model")
models = sorted(item.name.replace(".py", "").replace("_", "-")
for item in os.scandir(modelpath)
if not item.name.startswith("_")
... | plugins/plugin_loader.py | 163 | faceswap | {
"docstring": " Return a list of available training models\n\n Returns\n -------\n list:\n A list of the available training model plugin names\n ",
"language": "en",
"n_whitespaces": 59,
"n_words": 19,
"vocab_size": 15
} | 28 | Python | 24 | 13cfb3f39e72e9ca181f173b7b3db2a048db0d08 | plugin_loader.py | 101,476 | 15 | 93 | get_available_models | https://github.com/deepfakes/faceswap.git | extract: Add batch processing mode | 148 | 0 | 20,889 | 15 | |
1 | 13 | def cosine_similarity(cooccurrence):
diag_rows, diag_cols = _get_row_and_column_matrix(cooccurrence.diagonal())
with np.errstate(invalid="ignore", divide="ignore"):
result = cooccurrence / np.sqrt(diag_rows * diag_cols)
return np.array(result)
| recommenders/utils/python_utils.py | 90 | recommenders | {
"docstring": "Helper method to calculate the Cosine similarity of a matrix of\n co-occurrences.\n\n Cosine similarity can be interpreted as the angle between the i-th\n and j-th item.\n\n Args:\n cooccurrence (numpy.ndarray): The symmetric matrix of co-occurrences of items.\n\n Returns:\n ... | 18 | Python | 17 | 1d7341e93d1f03387699fb3c6ae0b6c0e464296f | python_utils.py | 39,442 | 5 | 51 | cosine_similarity | https://github.com/microsoft/recommenders.git | Add new item similarity metrics for SAR (#1754)
* Add mutual information similarity in SAR
* Add lexicographers mutual information similarity for SAR
* Add cosine similarity for SAR
* Add inclusion index for SAR
* Typos
* Change SARSingleNode to SAR
* Convert item similarity matrix to np.array
* U... | 37 | 0 | 7,234 | 12 | |
1 | 2 | def ray_start_client_server_for_address(address):
| python/ray/util/client/ray_client_helpers.py | 13 | ray | {
"docstring": "\n Starts a Ray client server that initializes drivers at the specified address.\n ",
"language": "en",
"n_whitespaces": 19,
"n_words": 12,
"vocab_size": 12
} | 2 | Python | 2 | 297341e107daee1ea3aff991ae8ea8c90993c683 | ray_client_helpers.py | 133,959 | 4 | 20 | ray_start_client_server_for_address | https://github.com/ray-project/ray.git | [Test][Client] Only start ray once in client tests (#28835)
It looks like we're frequently starting and shutting down Ray in this test because `ray_start_client_server` isn't connecting to the Ray created by `ray_start_regular_shared`, and is instead starting a new Ray head process every time it launches.
Ray clien... | 5 | 0 | 30,162 | 6 | |
1 | 5 | def voidcmd(self, cmd):
self.putcmd(cmd)
return self.voidresp()
| python3.10.4/Lib/ftplib.py | 35 | XX-Net | {
"docstring": "Send a command and expect a response beginning with '2'.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | 6 | Python | 6 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | ftplib.py | 217,436 | 3 | 20 | voidcmd | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 27 | 0 | 54,784 | 7 | |
5 | 14 | def all_shortest_paths(G, source, target, weight=None, method="dijkstra"):
method = "unweighted" if weight is None else method
if method == "unweighted":
pred = nx.predecessor(G, source)
elif method == "dijkstra":
pred, dist = nx.dijkstra_predecessor_and_distance(G, source, weight=weigh... | networkx/algorithms/shortest_paths/generic.py | 168 | networkx | {
"docstring": "Compute all shortest simple paths in the graph.\n\n Parameters\n ----------\n G : NetworkX graph\n\n source : node\n Starting node for path.\n\n target : node\n Ending node for path.\n\n weight : None, string or function, optional (default = None)\n If None, every ... | 53 | Python | 36 | b5d41847b8db0c82372faf69cd3a339d11da7ef0 | generic.py | 176,292 | 11 | 103 | all_shortest_paths | https://github.com/networkx/networkx.git | DOC: Update documentation to include callables for weight argument (#5307)
Update docs to include functions as valid input for weight argument. | 102 | 0 | 41,809 | 12 | |
1 | 8 | def test_assumptions_about_jsonpatch(self):
patch_1 = JsonPatch([{"op": "add", "path": "/hi", "value": "there"}])
patch_2 = JsonPatch([{"op": "add", "path": "/hi", "value": "there"}])
patch_3 = JsonPatch([{"op": "add", "path": "/different", "value": "there"}])
assert patch_1 is ... | tests/flow_runners/test_kubernetes.py | 239 | prefect | {
"docstring": "Assert our assumptions about the behavior of the jsonpatch library, so we\n can be alert to any upstream changes",
"language": "en",
"n_whitespaces": 25,
"n_words": 19,
"vocab_size": 18
} | 55 | Python | 24 | ab322ef9b1bb65887984854dc39b316f98da3b97 | test_kubernetes.py | 56,187 | 11 | 131 | test_assumptions_about_jsonpatch | https://github.com/PrefectHQ/prefect.git | Allow Kubernetes users to customize or replace the Job manifest for flow runs
Adding support for either replacing the base `job=` for a KubernetesFlowRunner,
applying a list of RFC 6902 JSON patches provided by `customizations=`, or both.
This implements the core changes, while preserving backwards compatiblity with
t... | 132 | 0 | 11,459 | 12 | |
12 | 23 | def can_fast_delete(self, objs, from_field=None):
if from_field and from_field.remote_field.on_delete is not CASCADE:
return False
if hasattr(objs, "_meta"):
model = objs._meta.model
elif hasattr(objs, "model") and hasattr(objs, "_raw_delete"):
model ... | django/db/models/deletion.py | 230 | django | {
"docstring": "\n Determine if the objects in the given queryset-like or single object\n can be fast-deleted. This can be done if there are no cascades, no\n parents and no signal listeners for the object class.\n\n The 'from_field' tells where we are coming from - we need this to\n ... | 108 | Python | 70 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | deletion.py | 205,460 | 29 | 142 | can_fast_delete | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 471 | 0 | 51,132 | 16 | |
4 | 12 | def get_chunk_n_rows(row_bytes, *, max_n_rows=None, working_memory=None):
if working_memory is None:
working_memory = get_config()["working_memory"]
chunk_n_rows = int(working_memory * (2**20) // row_bytes)
if max_n_rows is not None:
chunk_n_rows = min(chunk_n_rows, max_n_rows)
if... | sklearn/utils/__init__.py | 148 | scikit-learn | {
"docstring": "Calculates how many rows can be processed within working_memory.\n\n Parameters\n ----------\n row_bytes : int\n The expected number of bytes of memory that will be consumed\n during the processing of each row.\n max_n_rows : int, default=None\n The maximum return valu... | 55 | Python | 40 | 1fc86b6aacd89da44a3b4e8abf7c3e2ba4336ffe | __init__.py | 258,953 | 14 | 88 | get_chunk_n_rows | https://github.com/scikit-learn/scikit-learn.git | MNT Update black to stable version (#22474) | 141 | 0 | 75,492 | 16 | |
6 | 25 | def _prepare_socket_file(self, socket_path, default_prefix):
result = socket_path
is_mac = sys.platform.startswith("darwin")
if sys.platform == "win32":
if socket_path is None:
result = f"tcp://{self._localhost}" f":{self._get_unused_port()}"
else:
... | python/ray/node.py | 234 | ray | {
"docstring": "Prepare the socket file for raylet and plasma.\n\n This method helps to prepare a socket file.\n 1. Make the directory if the directory does not exist.\n 2. If the socket file exists, do nothing (this just means we aren't the\n first worker on the node).\n\n Args:... | 77 | Python | 56 | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | node.py | 130,803 | 20 | 127 | _prepare_socket_file | https://github.com/ray-project/ray.git | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 333 | 0 | 29,375 | 17 | |
1 | 6 | def make_union(*transformers, n_jobs=None, verbose=False):
return FeatureUnion(_name_estimators(transformers), n_jobs=n_jobs, verbose=verbose)
| sklearn/pipeline.py | 48 | scikit-learn | {
"docstring": "Construct a FeatureUnion from the given transformers.\n\n This is a shorthand for the FeatureUnion constructor; it does not require,\n and does not permit, naming the transformers. Instead, they will be given\n names automatically based on their types. It also does not allow weighting.\n\n ... | 8 | Python | 8 | ecef8cb7f44ab6a8438b43eb33f519269511cbbf | pipeline.py | 260,484 | 2 | 31 | make_union | https://github.com/scikit-learn/scikit-learn.git | DOC numpydoc validation for `make_union` (#23909)
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> | 14 | 0 | 76,280 | 9 | |
3 | 10 | def sections(self) -> List[str]:
return sorted(set(plugin.split(".")[0] for plugin in self._config.config.sections()
if plugin.split(".")[0] != "writer"))
| tools/preview/preview.py | 87 | faceswap | {
"docstring": " list: The sorted section names that exist within the convert Configuration options. ",
"language": "en",
"n_whitespaces": 13,
"n_words": 12,
"vocab_size": 12
} | 14 | Python | 14 | 1022651eb8a7741014f5d2ec7cbfe882120dfa5f | preview.py | 101,443 | 4 | 51 | sections | https://github.com/deepfakes/faceswap.git | Bugfix: convert - Gif Writer
- Fix non-launch error on Gif Writer
- convert plugins - linting
- convert/fs_media/preview/queue_manager - typing
- Change convert items from dict to Dataclass | 53 | 0 | 20,856 | 15 | |
3 | 8 | def get_conn(self) -> paramiko.SFTPClient: # type: ignore[override]
if self.conn is None:
# TODO: remove support for ssh_hook when it is removed from SFTPOperator
if self.ssh_hook is not None:
self.conn = self.ssh_hook.get_conn().open_sftp()
else:
... | airflow/providers/sftp/hooks/sftp.py | 105 | airflow | {
"docstring": "\n Opens an SFTP connection to the remote host\n\n :rtype: paramiko.SFTPClient\n ",
"language": "en",
"n_whitespaces": 32,
"n_words": 10,
"vocab_size": 10
} | 37 | Python | 28 | f3aacebe502c4ea5dc2b7d29373539296fa037eb | sftp.py | 43,253 | 12 | 61 | get_conn | https://github.com/apache/airflow.git | Convert sftp hook to use paramiko instead of pysftp (#24512) | 122 | 0 | 7,891 | 17 | |
2 | 10 | def only_targets(self, target_type): # type: (t.Type[THostConfig]) -> t.List[THostConfig]
if not self.targets:
raise Exception('There must be one or more targets.')
assert type_guard(self.targets, target_type)
return t.cast(t.List[THostConfig], self.targets)
| test/lib/ansible_test/_internal/config.py | 72 | ansible | {
"docstring": "\n Return a list of target host configurations.\n Requires that there are one or more targets, all the specified type.\n ",
"language": "en",
"n_whitespaces": 41,
"n_words": 19,
"vocab_size": 19
} | 25 | Python | 25 | a06fa496d3f837cca3c437ab6e9858525633d147 | config.py | 266,768 | 5 | 44 | only_targets | https://github.com/ansible/ansible.git | 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... | 65 | 0 | 78,571 | 10 | |
4 | 32 | def update_replay_sample_priority(self) -> int:
num_samples_trained_this_itr = 0
for _ in range(self.learner_thread.outqueue.qsize()):
if self.learner_thread.is_alive():
(
replay_actor,
priority_dict,
env_st... | rllib/agents/dqn/apex.py | 296 | ray | {
"docstring": "Update the priorities of the sample batches with new priorities that are\n computed by the learner thread.\n\n Returns:\n The number of samples trained by the learner thread since the last\n training iteration.\n ",
"language": "en",
"n_whitespaces": 75,
... | 63 | Python | 48 | b76273357bd1b74757b0aa1d64cee551369d7fa6 | apex.py | 139,297 | 35 | 183 | update_replay_sample_priority | https://github.com/ray-project/ray.git | [RLlib] APEX-DQN replay buffer config validation fix. (#24588) | 451 | 0 | 31,651 | 15 | |
4 | 10 | def make_action_immutable(obj):
if isinstance(obj, np.ndarray):
obj.setflags(write=False)
return obj
elif isinstance(obj, OrderedDict):
return MappingProxyType(dict(obj))
elif isinstance(obj, dict):
return MappingProxyType(obj)
else:
return ob... | rllib/utils/numpy.py | 96 | ray | {
"docstring": "Flags actions immutable to notify users when trying to change\n them.\n\n Can also be used with any tree-like structure containing either\n dictionaries, numpy arrays or already immutable objects per se.\n Note, however that `tree.map_structure()` will in general not \n include the shal... | 21 | Python | 14 | ff575eeafc610b5a71fac37682e388476b2fb8ea | numpy.py | 138,869 | 10 | 59 | make_action_immutable | https://github.com/ray-project/ray.git | [RLlib] Make actions sent by RLlib to the env immutable. (#24262) | 87 | 0 | 31,539 | 12 | |
2 | 6 | def test_system_config(ray_start_cluster_head):
cluster = ray_start_cluster_head
worker = cluster.add_node()
cluster.wait_for_nodes()
| python/ray/tests/test_multi_node_2.py | 39 | ray | {
"docstring": "Checks that the internal configuration setting works.\n\n We set the cluster to timeout nodes after 2 seconds of no timeouts. We\n then remove a node, wait for 1 second to check that the cluster is out\n of sync, then wait another 2 seconds (giving 1 second of leeway) to check\n that the c... | 9 | Python | 8 | fdc7077dbcd8f54991cd36f6890d219519260dc4 | test_multi_node_2.py | 135,576 | 12 | 83 | test_system_config | https://github.com/ray-project/ray.git | [core] Introduce pull based health check to GCS. (#29442)
This PR introduced the pull-based health check to GCS. This is to fix the false positive issues when GCS is overloaded and incorrectly marks the healthy node as dead.
The health check service in each ray component is implemented using gRPC built-in services.... | 21 | 0 | 30,660 | 8 | |
1 | 3 | def get_backend() -> ValidBackends:
return _FS_BACKEND
| lib/utils.py | 18 | faceswap | {
"docstring": " Get the backend that Faceswap is currently configured to use.\n\n Returns\n -------\n str\n The backend configuration in use by Faceswap\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 20,
"vocab_size": 18
} | 6 | Python | 6 | 91fecc47b2157d684ab9c219a860df51543222a3 | utils.py | 100,998 | 9 | 9 | get_backend | https://github.com/deepfakes/faceswap.git | lib.Utils - add DPI detector | 12 | 0 | 20,441 | 6 | |
1 | 4 | def quote_name(self, name):
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a quote_name() method"
)
| django/db/backends/base/operations.py | 25 | django | {
"docstring": "\n Return a quoted version of the given table, index, or column name. Do\n not quote the given name if it's already been quoted.\n ",
"language": "en",
"n_whitespaces": 45,
"n_words": 23,
"vocab_size": 21
} | 14 | Python | 14 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | operations.py | 204,863 | 4 | 13 | quote_name | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 46 | 0 | 50,940 | 8 | |
1 | 6 | def inspect(self) -> DockerInspect:
return docker_inspect(self.args, self.container_id)
| test/lib/ansible_test/_internal/connections.py | 32 | ansible | {
"docstring": "Inspect the container and return a DockerInspect instance with the results.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | 7 | Python | 7 | 3eb0485dd92c88cc92152d3656d94492db44b183 | connections.py | 267,949 | 3 | 19 | inspect | https://github.com/ansible/ansible.git | ansible-test - Use more native type hints. (#78435)
* ansible-test - Use more native type hints.
Simple search and replace to switch from comments to native type hints for return types of functions with no arguments.
* ansible-test - Use more native type hints.
Conversion of simple single-line function annota... | 21 | 0 | 79,224 | 8 | |
2 | 14 | def to_state_create(self) -> schemas.actions.StateCreate:
from prefect.results import BaseResult
return schemas.actions.StateCreate(
type=self.type,
name=self.name,
message=self.message,
data=self.data if isinstance(self.data, BaseResult) else No... | src/prefect/client/schemas.py | 99 | prefect | {
"docstring": "\n Convert this state to a `StateCreate` type which can be used to set the state of\n a run in the API.\n\n This method will drop this state's `data` if it is not a result type. Only\n results should be sent to the API. Other data is only available locally.\n ",
"l... | 21 | Python | 21 | 2f2faf370f602cfd9df307ff71e785c1c9d6a538 | schemas.py | 59,285 | 16 | 67 | to_state_create | https://github.com/PrefectHQ/prefect.git | Update engine to use new results (#7094)
# Conflicts:
# .github/workflows/integration-tests.yaml
# src/prefect/deployments.py
# src/prefect/engine.py | 104 | 0 | 11,889 | 12 | |
1 | 13 | def _jvp(f, primals, tangents):
with tf.autodiff.ForwardAccumulator(primals, tangents) as acc:
primals_out = f(*primals)
return primals_out, acc.jvp(
primals_out, unconnected_gradients=tf.UnconnectedGradients.ZERO
)
| keras/integration_test/forwardprop_test.py | 78 | keras | {
"docstring": "Compute the jacobian of `f` at `primals` multiplied by `tangents`.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 18 | Python | 17 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | forwardprop_test.py | 272,179 | 6 | 48 | _jvp | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 44 | 0 | 80,971 | 11 | |
5 | 14 | def _signature_bound_method(sig):
params = tuple(sig.parameters.values())
if not params or params[0].kind in (_VAR_KEYWORD, _KEYWORD_ONLY):
raise ValueError('invalid method signature')
kind = params[0].kind
if kind in (_POSITIONAL_OR_KEYWORD, _POSITIONAL_ONLY):
# Drop first param... | python3.10.4/Lib/inspect.py | 147 | XX-Net | {
"docstring": "Private helper to transform signatures for unbound\n functions to bound methods.\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 11,
"vocab_size": 10
} | 77 | Python | 52 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | inspect.py | 218,395 | 11 | 86 | _signature_bound_method | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 180 | 0 | 55,281 | 13 | |
5 | 13 | def subs(self, *args, **kwargs): # should mirror core.basic.subs
if len(args) == 1 and not isinstance(args[0], (dict, set)) and iter(args[0]) and not is_sequence(args[0]):
args = (list(args[0]),)
return self.applyfunc(lambda x: x.subs(*args, **kwargs))
| sympy/matrices/common.py | 130 | sympy | {
"docstring": "Return a new matrix with subs applied to each entry.\n\n Examples\n ========\n\n >>> from sympy.abc import x, y\n >>> from sympy import SparseMatrix, Matrix\n >>> SparseMatrix(1, 1, [x])\n Matrix([[x]])\n >>> _.subs(x, y)\n Matrix([[y]])\n ... | 30 | Python | 27 | 59d22b6bb7287613d598611027f640d068ca5748 | common.py | 196,366 | 4 | 83 | subs | https://github.com/sympy/sympy.git | Moved imports to higher level | 64 | 0 | 47,866 | 12 | |
4 | 12 | def _resolve_script(self, script_entity_id) -> None:
for entity in script.entities_in_script(self.hass, script_entity_id):
self._add_or_resolve("entity", entity)
for device in script.devices_in_script(self.hass, script_entity_id):
self._add_or_resolve("device", device)
... | homeassistant/components/search/__init__.py | 120 | core | {
"docstring": "Resolve a script.\n\n Will only be called if script is an entry point.\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 13,
"vocab_size": 13
} | 26 | Python | 20 | c0b04e9f91a34dfee0ceb12770148317fe3e2cbf | __init__.py | 307,722 | 11 | 76 | _resolve_script | https://github.com/home-assistant/core.git | Sort some code in the search integration (#78519) | 87 | 0 | 106,489 | 10 | |
1 | 7 | def test_escape_sequence_resulting_in_multiple_keypresses(parser):
events = list(parser.feed("\x1b[2;4~"))
assert len(events) == 2
assert events[0].key == "escape"
assert events[1].key == "shift+insert"
| tests/test_xterm_parser.py | 75 | textual | {
"docstring": "Some sequences are interpreted as more than 1 keypress",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 17 | Python | 13 | bfb962bacf274373e5706090cd854b6aa0857270 | test_xterm_parser.py | 183,781 | 5 | 42 | test_escape_sequence_resulting_in_multiple_keypresses | https://github.com/Textualize/textual.git | Backtracking unknown escape sequences, various tests for XTermParser | 32 | 0 | 44,334 | 11 | |
2 | 5 | async def _api_startup_event(self):
if not ApiServer._message_stream:
ApiServer._message_stream = MessageStream()
| freqtrade/rpc/api_server/webserver.py | 36 | freqtrade | {
"docstring": "\n Creates the MessageStream class on startup\n so it has access to the same event loop\n as uvicorn\n ",
"language": "en",
"n_whitespaces": 46,
"n_words": 17,
"vocab_size": 16
} | 9 | Python | 9 | 442467e8aed2ff639bfba04e7a2f6e175f774af1 | webserver.py | 151,672 | 3 | 19 | _api_startup_event | https://github.com/freqtrade/freqtrade.git | remove old comments and code | 34 | 0 | 35,096 | 10 | |
1 | 24 | def test_ohe_infrequent_three_levels_drop_frequent(drop):
X_train = np.array([["a"] * 5 + ["b"] * 20 + ["c"] * 10 + ["d"] * 3]).T
ohe = OneHotEncoder(
handle_unknown="infrequent_if_exist", sparse=False, max_categories=3, drop=drop
).fit(X_train)
X_test = np.array([["b"], ["c"], ["d"]])
... | sklearn/preprocessing/tests/test_encoders.py | 322 | @pytest.mark.parametrize("drop", [["a"], ["d"]]) | scikit-learn | {
"docstring": "Test three levels and dropping the frequent category.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 8
} | 63 | Python | 49 | 7f0006c8aad1a09621ad19c3db19c3ff0555a183 | test_encoders.py | 259,235 | 12 | 176 | test_ohe_infrequent_three_levels_drop_frequent | https://github.com/scikit-learn/scikit-learn.git | 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... | 109 | 1 | 75,667 | 16 |
1 | 3 | def indented(self):
cli_logger = self
| python/ray/autoscaler/_private/cli_logger.py | 18 | ray | {
"docstring": "Context manager that starts an indented block of output.",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 5 | Python | 5 | 7f1bacc7dc9caf6d0ec042e39499bbf1d9a7d065 | cli_logger.py | 130,421 | 6 | 20 | indented | https://github.com/ray-project/ray.git | [CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes. | 19 | 0 | 29,267 | 6 | |
1 | 3 | def lsb_release_info(self):
# type: () -> Dict[str, str]
return self._lsb_release_info
| pipenv/patched/notpip/_vendor/distro.py | 20 | pipenv | {
"docstring": "\n Return a dictionary containing key-value pairs for the information\n items from the lsb_release command data source of the OS\n distribution.\n\n For details, see :func:`distro.lsb_release_info`.\n ",
"language": "en",
"n_whitespaces": 60,
"n_words": 24,
"... | 10 | Python | 10 | f3166e673fe8d40277b804d35d77dcdb760fc3b3 | distro.py | 20,074 | 2 | 10 | lsb_release_info | https://github.com/pypa/pipenv.git | 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... | 31 | 0 | 3,219 | 6 | |
1 | 5 | def test_batch_mapper_numpy_data_format(ds_with_expected_pandas_numpy_df):
ds, expected_df, expected_numpy_df = ds_with_expected_pandas_numpy_df
| python/ray/data/tests/test_batch_mapper.py | 23 | ray | {
"docstring": "Tests batch mapper functionality for numpy data format.\n\n Note:\n For single column pandas dataframes, we automatically convert it to\n single column tensor with column name as `__value__`.\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 27,
"vocab_size": 24
} | 7 | Python | 7 | 9c39a28ba2f6221ffd8327fa21cb8294f0390fee | test_batch_mapper.py | 128,154 | 20 | 145 | test_batch_mapper_numpy_data_format | https://github.com/ray-project/ray.git | [AIR][Numpy] Add numpy narrow waist to `Preprocessor` and `BatchMapper` (#28418)
Co-authored-by: Eric Liang <ekhliang@gmail.com>
Co-authored-by: Clark Zinzow <clarkzinzow@gmail.com>
Co-authored-by: Amog Kamsetty <amogkamsetty@yahoo.com> | 13 | 0 | 28,614 | 7 | |
1 | 14 | def test_realm_admin_remove_others_from_public_stream(self) -> None:
result = self.attempt_unsubscribe_of_principal(
query_count=15,
target_users=[self.example_user("cordelia")],
is_realm_admin=True,
is_subbed=True,
invite_only=False,
... | zerver/tests/test_subs.py | 120 | zulip | {
"docstring": "\n If you're a realm admin, you can remove people from public streams, even\n those you aren't on.\n ",
"language": "en",
"n_whitespaces": 39,
"n_words": 17,
"vocab_size": 16
} | 21 | Python | 20 | 803982e87254e3b1ebcb16ed795e224afceea3a3 | test_subs.py | 83,836 | 16 | 76 | test_realm_admin_remove_others_from_public_stream | https://github.com/zulip/zulip.git | message_flags: Short-circuit if no messages changed.
Omit sending an event, and updating the database, if there are no
matching messages. | 129 | 0 | 17,731 | 13 | |
5 | 11 | def _splitext(p, sep, altsep, extsep):
# NOTE: This code must work for text and bytes strings.
sepIndex = p.rfind(sep)
if altsep:
altsepIndex = p.rfind(altsep)
sepIndex = max(sepIndex, altsepIndex)
dotIndex = p.rfind(extsep)
if dotIndex > sepIndex:
# skip all leading d... | python3.10.4/Lib/genericpath.py | 154 | XX-Net | {
"docstring": "Split the extension from a pathname.\n\n Extension is everything from the last dot to the end, ignoring\n leading dots. Returns \"(root, ext)\"; ext may be empty.",
"language": "en",
"n_whitespaces": 32,
"n_words": 26,
"vocab_size": 23
} | 62 | Python | 48 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | genericpath.py | 217,520 | 13 | 97 | _splitext | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 155 | 0 | 54,832 | 14 | |
1 | 23 | def any_numeric_dtype(request):
return request.param
# categoricals are handled separately
_any_skipna_inferred_dtype = [
("string", ["a", np.nan, "c"]),
("string", ["a", pd.NA, "c"]),
("mixed", ["a", pd.NaT, "c"]), # pd.NaT not considered valid by is_string_array
("bytes", [b"a", np.nan, b"... | pandas/conftest.py | 591 | @pytest.fixture(params=_any_skipna_inferred_dtype, ids=ids) | pandas | {
"docstring": "\n Parameterized fixture for all numeric dtypes.\n\n * int\n * 'int8'\n * 'uint8'\n * 'int16'\n * 'uint16'\n * 'int32'\n * 'uint32'\n * 'int64'\n * 'uint64'\n * float\n * 'float32'\n * 'float64'\n * complex\n * 'complex64'\n * 'complex128'\n * 'UInt8'... | 149 | Python | 103 | fe9e5d023e20304ad1bdfa1da53f3af452c72a00 | conftest.py | 169,100 | 2 | 10 | any_numeric_dtype | https://github.com/pandas-dev/pandas.git | REGR: .describe on unsigned dtypes results in object (#48473) | 244 | 1 | 40,391 | 10 |
3 | 11 | def get_variation_axes(self):
try:
axes = self.font.getvaraxes()
except AttributeError as e:
msg = "FreeType 2.9.1 or greater is required"
raise NotImplementedError(msg) from e
for axis in axes:
axis["name"] = axis["name"].replace(b"\x00",... | src/PIL/ImageFont.py | 100 | Pillow | {
"docstring": "\n :returns: A list of the axes in a variation font.\n :exception OSError: If the font is not a variation font.\n ",
"language": "en",
"n_whitespaces": 42,
"n_words": 20,
"vocab_size": 16
} | 32 | Python | 29 | 2ae55ccbdad9c842929fb238ea1eb81d1f999024 | ImageFont.py | 243,751 | 9 | 57 | get_variation_axes | https://github.com/python-pillow/Pillow.git | Improve exception traceback readability | 111 | 0 | 70,111 | 12 | |
2 | 20 | def flatten(index, name="segmented_flatten"):
batch_size = tf.reduce_prod(index.batch_shape())
offset = tf.range(batch_size) * index.num_segments
offset = tf.reshape(offset, index.batch_shape())
for _ in range(index.batch_dims, index.indices.shape.rank):
offset = tf.expand_dims(offset, -1)
... | src/transformers/models/tapas/modeling_tf_tapas.py | 193 | transformers | {
"docstring": "\n Flattens a batched index map to a 1d index map. This operation relabels the segments to keep batch elements\n distinct. The k-th batch element will have indices shifted by `num_segments` * (k - 1). The result is a tensor with\n `num_segments` multiplied by the number of elements in the bat... | 37 | Python | 30 | f04257fdbcb6ecb5a9bef75f4c2a8d2e8b5a6209 | modeling_tf_tapas.py | 38,044 | 8 | 124 | flatten | https://github.com/huggingface/transformers.git | Add test to ensure models can take int64 inputs (#17210)
* Add test to ensure models can take int64 inputs
* is_integer is an attribute, not a method
* Fix test when some inputs aren't tensors
* Add casts to blenderbot and blenderbot-small
* Add casts to the other failing models | 65 | 0 | 6,902 | 12 | |
1 | 37 | def test_job_job_events_children_summary_is_tree(get, organization_factory, job_template_factory):
objs = organization_factory("org", superusers=['admin'])
jt = job_template_factory("jt", organization=objs.organization, inventory='test_inv', project='test_proj').job_template
job = jt.create_unified_job... | awx/main/tests/functional/api/test_events.py | 722 | awx | {
"docstring": "\n children_summary should return {is_tree: False} if the event structure is not tree-like\n \n E1\n E2\n E3\n E4 (verbose)\n E5\n E6 <-- parent is E2, but comes after another \"branch\" E5\n ",
"language": "en",
"n_whitespaces": 74,
"n_words": 29,
"v... | 128 | Python | 65 | 550d9d5e42a605a23cb540584bf439c07c4185d4 | test_events.py | 81,243 | 40 | 442 | test_job_job_events_children_summary_is_tree | https://github.com/ansible/awx.git | detect if job events are tree-like and collapsable in the UI | 248 | 0 | 17,173 | 12 | |
4 | 22 | def normalize_span_op_histogram_results(span_op, histogram_params, results):
histogram_column = get_span_count_histogram_column(span_op, histogram_params)
bin_name = get_function_alias(histogram_column)
# zerofill and rename the columns while making sure to adjust for precision
bucket_map = {}
... | src/sentry/snuba/discover.py | 203 | sentry | {
"docstring": "\n Normalizes the span histogram results by renaming the columns to key and bin\n and make sure to zerofill any missing values.\n\n :param str span_op: The span op for which you want to generate the\n histograms for.\n :param HistogramParams histogram_params: The histogram parameter... | 90 | Python | 71 | 12bb908ad28a4c1b6564253053a6f65ba4cdded9 | discover.py | 93,873 | 15 | 124 | normalize_span_op_histogram_results | https://github.com/getsentry/sentry.git | feat(spans): Add a span count distribution endpoint (#36957)
* hack histogram endpoint to serve span counts
* wip
* clean up
* more clean up
* clean up
* fixes and test
* address comments | 184 | 0 | 19,022 | 13 | |
5 | 11 | def simplify_ner_for_qa(output):
compact_output = []
for answer in output["answers"]:
entities = []
for entity in answer.meta["entities"]:
if (
entity["start"] >= answer.offsets_in_document[0].start
and entity["end"] <= answer.offsets_in_document... | haystack/nodes/extractor/entity.py | 152 | haystack | {
"docstring": "\n Returns a simplified version of the output dictionary\n with the following structure:\n [\n {\n answer: { ... }\n entities: [ { ... }, {} ]\n }\n ]\n The entities included are only the ones that overlap with\n the answer itself.\n\n :param ou... | 33 | Python | 28 | 15a59fd04071dc1e13c256680407ba1b63e7b1f2 | entity.py | 257,972 | 12 | 90 | simplify_ner_for_qa | https://github.com/deepset-ai/haystack.git | feat: Updated EntityExtractor to handle long texts and added better postprocessing (#3154)
* Remove dependence on HuggingFace TokenClassificationPipeline and group all postprocessing functions under one class
* Added copyright notice for HF and deepset to entity file to acknowledge that a lot of the postprocess... | 133 | 0 | 75,176 | 15 | |
1 | 7 | def _combine_individual_stats(self, operator_count, cv_score, individual_stats):
stats = deepcopy(
individual_stats
) # Deepcopy, since the string reference to predecessor should be cloned
stats["operator_count"] = operator_count
stats["internal_cv_score"] = cv_scor... | tpot/base.py | 55 | tpot | {
"docstring": "Combine the stats with operator count and cv score and preprare to be written to _evaluated_individuals\n\n Parameters\n ----------\n operator_count: int\n number of components in the pipeline\n cv_score: float\n internal cross validation score\n ... | 29 | Python | 26 | 388616b6247ca4ea8de4e2f340d6206aee523541 | base.py | 181,816 | 7 | 32 | _combine_individual_stats | https://github.com/EpistasisLab/tpot.git | Revert "Deployed 7ccda9a with MkDocs version: 1.3.0"
This reverts commit bd9629c40e01241766197119b581a99409b07068. | 83 | 0 | 43,600 | 8 | |
1 | 13 | def test_ridgecv_normalize_deprecated(Estimator):
X = np.array([[1, -1], [1, 1]])
y = np.array([0, 1])
estimator = Estimator(normalize=True)
with pytest.warns(
FutureWarning, match=r"Set parameter alphas to: original_alphas \* n_samples"
):
estimator.fit(X, y)
| sklearn/linear_model/tests/test_ridge.py | 108 | scikit-learn | {
"docstring": "Check that the normalize deprecation warning mentions the rescaling of alphas\n\n Non-regression test for issue #22540\n ",
"language": "en",
"n_whitespaces": 22,
"n_words": 16,
"vocab_size": 15
} | 28 | Python | 26 | f14af688b7e77ecb6df9dfee93ec39b6c0334b86 | test_ridge.py | 259,066 | 8 | 68 | test_ridgecv_normalize_deprecated | https://github.com/scikit-learn/scikit-learn.git | FIX Make Ridge*CV warn about rescaling alphas with scaling (#22585) | 60 | 0 | 75,551 | 11 | |
4 | 12 | def load(cls, request_or_site=None):
# We can only cache on the request, so if there is no request then
# we know there's nothing in the cache.
if request_or_site is None or isinstance(request_or_site, Site):
return cls._get_or_create()
# Check if we already have t... | wagtail/contrib/settings/models.py | 110 | wagtail | {
"docstring": "\n Get or create an instance of this model. There is only ever one\n instance of models inheriting from `AbstractSetting` so we can\n use `pk=1`.\n\n If `request_or_site` is present and is a request object, then we cache\n the result on the request for faster repeat ... | 72 | Python | 53 | d967eccef28ce47f60d26be1c28f2d83a25f40b0 | models.py | 78,250 | 9 | 67 | load | https://github.com/wagtail/wagtail.git | Add generic settings to compliment site-specific settings (#8327) | 171 | 0 | 16,749 | 9 | |
1 | 6 | def map_to_type(self, name, cls):
self.registry[name.lower()] = cls
| python3.10.4/Lib/email/headerregistry.py | 36 | XX-Net | {
"docstring": "Register cls as the specialized class for handling \"name\" headers.\n\n ",
"language": "en",
"n_whitespaces": 17,
"n_words": 10,
"vocab_size": 10
} | 7 | Python | 7 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | headerregistry.py | 223,760 | 2 | 22 | map_to_type | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 21 | 0 | 57,051 | 9 | |
2 | 5 | def search_projects(self, group=None, query=None, simple=True):
| src/sentry/integrations/gitlab/client.py | 28 | sentry | {
"docstring": "Get projects\n\n See https://docs.gitlab.com/ee/api/groups.html#list-a-group-s-projects\n and https://docs.gitlab.com/ee/api/projects.html#list-all-projects\n ",
"language": "en",
"n_whitespaces": 27,
"n_words": 6,
"vocab_size": 6
} | 5 | Python | 5 | 73959a1d9b946cd0b7054bebcbc9f50929bc9dc3 | client.py | 95,879 | 8 | 55 | search_projects | https://github.com/getsentry/sentry.git | I have rebased 15188 (round #2) (#31375)
* Make GitLab Group Path optional
Co-authored-by: King Chung Huang <kinghuang@mac.com>
Co-authored-by: Colleen O'Rourke <colleen@sentry.io> | 12 | 0 | 19,254 | 6 | |
1 | 11 | def test_launcher_ensures_stdio(self):
from kitty.constants import kitty_exe
import subprocess
exe = kitty_exe()
cp = subprocess.run([exe, '+runpy', f])
self.assertEqual(cp.returncode, 0)
| kitty_tests/check_build.py | 76 | kitty | {
"docstring": "\\\nimport os, sys\nif sys.stdin:\n os.close(sys.stdin.fileno())\nif sys.stdout:\n os.close(sys.stdout.fileno())\nif sys.stderr:\n os.close(sys.stderr.fileno())\nos.execlp({exe!r}, 'kitty', '+runpy', 'import sys; raise SystemExit(1 if sys.stdout is None or sys.stdin is None or sys.stderr is N... | 18 | Python | 16 | e2a1f8dde783c55dbca449691986923cb4025721 | check_build.py | 103,729 | 15 | 43 | test_launcher_ensures_stdio | https://github.com/kovidgoyal/kitty.git | ... | 52 | 0 | 21,712 | 11 | |
1 | 15 | def test_redirect_to_default(self):
start_url = reverse("wagtailsettings:edit", args=["tests", "testsetting"])
dest_url = reverse(
"wagtailsettings:edit", args=["tests", "testsetting", self.default_site.pk]
)
response = self.client.get(start_url, follow=True)
... | wagtail/contrib/settings/tests/test_admin.py | 116 | wagtail | {
"docstring": "\n Should redirect to the setting for the default site.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 8
} | 25 | Python | 21 | d10f15e55806c6944827d801cd9c2d53f5da4186 | test_admin.py | 73,498 | 9 | 70 | test_redirect_to_default | https://github.com/wagtail/wagtail.git | Reformat with black | 96 | 0 | 16,029 | 12 | |
1 | 14 | def _unfold(arr, axis, size, step):
new_shape = [*arr.shape, size]
new_strides = [*arr.strides, arr.strides[axis]]
new_shape[axis] = (new_shape[axis] - size) // step + 1
new_strides[axis] = new_strides[axis] * step
return np.lib.stride_tricks.as_strided(arr,
... | lib/matplotlib/cbook/__init__.py | 129 | matplotlib | {
"docstring": "\n Append an extra dimension containing sliding windows along *axis*.\n\n All windows are of size *size* and begin with every *step* elements.\n\n Parameters\n ----------\n arr : ndarray, shape (N_1, ..., N_k)\n The input array\n axis : int\n Axis along which the window... | 32 | Python | 27 | 13438f842729df1b04445d44ea83f616d1b85567 | __init__.py | 110,054 | 9 | 85 | _unfold | https://github.com/matplotlib/matplotlib.git | Fix some minor docstring typos | 176 | 0 | 23,899 | 11 | |
2 | 18 | def test_5_model(self):
query =
predict_query =
for cid, char in [(CID_A, 'a'), (CID_B, 'b')]:
self.sql_via_http(
query.format(char, char),
company_id=cid,
expected_resp_type=RESPONSE_TYPE.OK
)
response = se... | tests/integration_tests/flows/test_company_independent.py | 142 | mindsdb | {
"docstring": "\n CREATE MODEL mindsdb.model_{}\n FROM test_integration_{} (\n select * from test_data.home_rentals limit 50\n ) PREDICT rental_price\n USING join_learn_process=true, time_aim=5\n \n select * from mindsdb.model_{} where sqft... | 29 | Python | 24 | 7c02e15aa403a4ca1fa34489dd2df9136d6c961c | test_company_independent.py | 117,189 | 23 | 90 | test_5_model | https://github.com/mindsdb/mindsdb.git | Projects structure (#3532)
Projects structure | 196 | 0 | 25,918 | 13 | |
1 | 22 | def test_predictor_tableau_header(self, mock_handler):
df = pd.DataFrame([
{'a': 1, 'b': 'one'},
{'a': 2, 'b': 'two'},
{'a': 1, 'b': 'three'},
])
self.set_handler(mock_handler, name='pg', tables={'tasks': df})
# --- use predictor ---
predicted... | tests/unit/test_executor.py | 250 | mindsdb | {
"docstring": "\n SELECT \n SUM(1) AS `cnt__0B4A4E8BD11C48FFB4730D4D2C32191A_ok`,\n sum(`Custom SQL Query`.`a`) AS `sum_height_ok`,\n max(`Custom SQL Query`.`p`) AS `sum_length1_ok`\n FROM (\n SELECT res.a, res.p \n FROM pg.tasks ... | 82 | Python | 64 | 02a831997cdffafca7cb160eb1938e72020ee049 | test_executor.py | 116,154 | 32 | 143 | test_predictor_tableau_header | https://github.com/mindsdb/mindsdb.git | executor tests | 298 | 0 | 25,675 | 12 | |
1 | 9 | def test_single_file_metadata(pyi_builder):
# Add directory containing the my-test-package metadata to search path
extra_path = os.path.join(_MODULES_DIR, "pyi_single_file_metadata")
pyi_builder.test_source(
,
pyi_args=['--paths', extra_path]
)
| tests/functional/test_misc.py | 54 | pyinstaller | {
"docstring": "\n import pkg_resources\n\n # The pkg_resources.get_distribution() call automatically triggers collection of the metadata. While it does not\n # raise an error if metadata is not found while freezing, the calls below will fall at run-time in that case.\n dist = pkg_resource... | 21 | Python | 21 | 460a53842a220faa70f892ab0127b6d4dd21c4eb | test_misc.py | 262,791 | 17 | 31 | test_single_file_metadata | https://github.com/pyinstaller/pyinstaller.git | tests: add a test for single-file metadata collection | 46 | 0 | 77,372 | 10 | |
2 | 8 | def should_toggle_mask(self) -> bool:
with self._lock:
retval = self._triggers["toggle_mask"]
if retval:
logger.debug("Sending toggle mask")
self._triggers["toggle_mask"] = False
return retval
| scripts/train.py | 74 | faceswap | {
"docstring": " Check whether the mask should be toggled and return the value. If ``True`` is returned\n then resets mask toggle back to ``False``\n\n Returns\n -------\n bool\n ``True`` if the mask should be toggled otherwise ``False``. ",
"language": "en",
"n_whitespaces"... | 19 | Python | 16 | 3c73ae4ec9f0f30649a5e20465a268bbcfd690eb | train.py | 101,049 | 14 | 40 | should_toggle_mask | https://github.com/deepfakes/faceswap.git | bugfix: Update preview screen in GUI | 92 | 0 | 20,487 | 12 | |
1 | 3 | def shape(self):
return self.table.shape
| src/datasets/table.py | 22 | datasets | {
"docstring": "\n Dimensions of the table: (#rows, #columns).\n\n Returns:\n :obj:`(int, int)`: Number of rows and number of columns.\n ",
"language": "en",
"n_whitespaces": 49,
"n_words": 16,
"vocab_size": 14
} | 4 | Python | 4 | e35be138148333078284b942ccc9ed7b1d826f97 | table.py | 104,426 | 2 | 12 | shape | https://github.com/huggingface/datasets.git | 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
... | 18 | 0 | 21,862 | 7 | |
1 | 7 | def add_preheated_app_session(self) -> None:
session = self._create_or_reuse_app_session(ws=None)
session.handle_rerun_script_request(is_preheat=True)
| lib/streamlit/server/server.py | 45 | streamlit | {
"docstring": "Register a fake browser with the server and run the script.\n\n This is used to start running the user's script even before the first\n browser connects.\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 26,
"vocab_size": 22
} | 8 | Python | 8 | 704eab3478cf69847825b23dabf15813a8ac9fa2 | server.py | 118,567 | 8 | 26 | add_preheated_app_session | https://github.com/streamlit/streamlit.git | Rename and refactor `Report` machinery (#4141)
This refactor renames (almost) everything related to the outdated "report" concept with more precise concepts that we use throughout our code, primarily "script run", "session", and "app". | 29 | 0 | 26,297 | 9 | |
3 | 21 | def sample_y(self, X, n_samples=1, random_state=0):
rng = check_random_state(random_state)
y_mean, y_cov = self.predict(X, return_cov=True)
if y_mean.ndim == 1:
y_samples = rng.multivariate_normal(y_mean, y_cov, n_samples).T
else:
y_samples = [
... | sklearn/gaussian_process/_gpr.py | 171 | scikit-learn | {
"docstring": "Draw samples from Gaussian process and evaluate at X.\n\n Parameters\n ----------\n X : array-like of shape (n_samples_X, n_features) or list of object\n Query points where the GP is evaluated.\n\n n_samples : int, default=1\n Number of samples drawn f... | 44 | Python | 36 | 3786daf7dc5c301478d489b0756f90d0ac5d010f | _gpr.py | 258,794 | 14 | 114 | sample_y | https://github.com/scikit-learn/scikit-learn.git | BUG Fix covariance and stdev shape in GPR with normalize_y (#22199)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Nakamura-Zimmerer, Tenavi (ARC-AF) <tenavi.nakamura-zimmerer@nasa.gov> | 194 | 0 | 75,430 | 16 | |
1 | 16 | def test_regex_includes_scripts_for(gm_manager, url, expected_matches):
gh_dark_example = textwrap.dedent(r)
_save_script(gh_dark_example, 'test.user.js')
gm_manager.load_scripts()
scripts = gm_manager.scripts_for(QUrl(url))
assert len(scripts.start + scripts.end + scripts.idle) == expected_ma... | tests/unit/javascript/test_greasemonkey.py | 96 | qutebrowser | {
"docstring": "Ensure our GM @*clude support supports regular expressions.\n // ==UserScript==\n // @include /^https?://((gist|guides|help|raw|status|developer)\\.)?github\\.com/((?!generated_pages\\/preview).)*$/\n // @exclude /https?://github\\.com/foo/\n // @run-at document-sta... | 21 | Python | 19 | 21419c9ef5a90ea36a27afaf2503a57f8f9f8536 | test_greasemonkey.py | 320,963 | 12 | 58 | test_regex_includes_scripts_for | https://github.com/qutebrowser/qutebrowser.git | greasemonkey: Don't implicitly load scripts
Needed for #7245 and also seems like cleaner code. | 39 | 0 | 117,467 | 11 | |
3 | 19 | def cal_predicts_accuracy(char_ops, preds, preds_lod, labels, labels_lod, is_remove_duplicate=False):
acc_num = 0
img_num = 0
for ino in range(len(labels_lod) - 1):
beg_no = preds_lod[ino]
end_no = preds_lod[ino + 1]
preds_text = preds[beg_no:end_no].reshape(-1)
preds_te... | modules/image/text_recognition/ppocrv3_rec_ch/character.py | 209 | PaddleHub | {
"docstring": "\n Calculate prediction accuracy\n Args:\n char_ops: CharacterOps\n preds: preds result,text index\n preds_lod: lod tensor of preds\n labels: label of input image, text index\n labels_lod: lod tensor of label\n is_remove_duplicate: Whether to remove dup... | 70 | Python | 44 | 9b3119dfb63c4cbb7acfb9f1f1c09ac24e6d68d2 | character.py | 49,450 | 17 | 139 | cal_predicts_accuracy | https://github.com/PaddlePaddle/PaddleHub.git | add module | 169 | 0 | 9,747 | 12 | |
1 | 6 | def fit_predict(self, X, y=None):
# As fit_predict would be different from fit.predict, fit_predict is
# only available for outlier detection (novelty=False)
return self.fit(X)._predict()
| sklearn/neighbors/_lof.py | 40 | scikit-learn | {
"docstring": "Fit the model to the training set X and return the labels.\n\n **Not available for novelty detection (when novelty is set to True).**\n Label is 1 for an inlier and -1 for an outlier according to the LOF\n score and the contamination parameter.\n\n Parameters\n -----... | 23 | Python | 21 | 60cc5b596f38d0d236dab34e02c05d98b5a72bad | _lof.py | 260,993 | 2 | 23 | fit_predict | https://github.com/scikit-learn/scikit-learn.git | FEA Fused sparse-dense support for `PairwiseDistancesReduction` (#23585)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
Co-authored-by: Jérémie du Boisberranger <jeremiedbb@users.noreply.github.com>
Co-authored-by: Thomas J. Fan <thomasjpf... | 51 | 0 | 76,611 | 9 | |
3 | 24 | def get_attendance_years() -> str:
Attendance = frappe.qb.DocType('Attendance')
year_list = (
frappe.qb.from_(Attendance)
.select(Extract('year', Attendance.attendance_date).as_('year'))
.distinct()
).run(as_dict=True)
if year_list:
year_list.sort(key=lambda d: d.year, reverse=True)
else:
year_list = ... | erpnext/hr/report/monthly_attendance_sheet/monthly_attendance_sheet.py | 177 | erpnext | {
"docstring": "Returns all the years for which attendance records exist",
"language": "en",
"n_whitespaces": 8,
"n_words": 9,
"vocab_size": 9
} | 31 | Python | 28 | e79d292233000985a04c5d46859513c1e0d7c88c | monthly_attendance_sheet.py | 68,213 | 13 | 104 | get_attendance_years | https://github.com/frappe/erpnext.git | refactor: Monthly Attendance Sheet
- split into smaller functions
- add type hints
- get rid of unnecessary db calls and loops
- add docstrings for functions | 19 | 0 | 14,743 | 18 | |
2 | 10 | def _set_gradient_checkpointing(self, module, value=False):
if isinstance(module, ConvNextModel):
module.gradient_checkpointing = value
CONVNEXT_START_DOCSTRING = r
CONVNEXT_INPUTS_DOCSTRING = r
@add_start_docstrings(
"The bare ConvNext model outputting raw features without any specific hea... | src/transformers/models/convnext/modeling_convnext.py | 64 | @add_start_docstrings(
"The bare ConvNext model outputting raw features without any specific head on top.",
CONVNEXT_START_DOCSTRING,
) | transformers | {
"docstring": "\n This model is a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. Use it\n as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and\n behavior.\n\n Parameters:\n config ([`ConvNextCon... | 32 | Python | 29 | 84eec9e6ba55c5aceee2a92fd820fcca4b67c510 | modeling_convnext.py | 34,876 | 3 | 24 | _set_gradient_checkpointing | https://github.com/huggingface/transformers.git | Add ConvNeXT (#15277)
* First draft
* Add conversion script
* Improve conversion script
* Improve docs and implement tests
* Define model output class
* Fix tests
* Fix more tests
* Add model to README
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@user... | 51 | 1 | 6,354 | 9 |
1 | 10 | def test_rbf_sampler_gamma_scale():
X, y = [[0.0], [1.0]], [0, 1]
rbf = RBFSampler(gamma="scale")
rbf.fit(X, y)
assert rbf._gamma == pytest.approx(4)
| sklearn/tests/test_kernel_approximation.py | 83 | scikit-learn | {
"docstring": "Check the inner value computed when `gamma='scale'`.",
"language": "en",
"n_whitespaces": 6,
"n_words": 7,
"vocab_size": 7
} | 18 | Python | 17 | 61ae92a7786baa132970cdc69da786f9952d8bda | test_kernel_approximation.py | 261,468 | 5 | 55 | test_rbf_sampler_gamma_scale | https://github.com/scikit-learn/scikit-learn.git | ENH Add gamma='scale' option to RBFSampler (#24755)
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> | 33 | 0 | 76,824 | 10 | |
3 | 8 | def vocab_size(self) -> int:
if self.is_category_target:
return self.model.training_set_metadata[self.target_feature_name]["vocab_size"]
elif self.is_binary_target:
return 2
return 1
| ludwig/explain/explainer.py | 60 | ludwig | {
"docstring": "The vocab size of the target feature.\n\n For regression (number) this is 1, for binary it is 2, and for category it is the vocab size.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 26,
"vocab_size": 20
} | 14 | Python | 12 | 1caede3a2da4ec71cb8650c7e45120c26948a5b9 | explainer.py | 8,246 | 10 | 36 | vocab_size | https://github.com/ludwig-ai/ludwig.git | Explanation API and feature importance for GBM (#2564)
* add docstring for explain_ig
* solidify Explainer API
* add gbm explainer
* add dataclasses for typed explanations
* add GBM feature importance
* remove unused imports
* add tests
* fix test
* extract explanation into file
* rename bas... | 64 | 0 | 1,380 | 11 | |
1 | 2 | def zaxis(self):
return self["zaxis"]
| packages/python/plotly/plotly/graph_objs/layout/_scene.py | 22 | plotly.py | {
"docstring": "\n The 'zaxis' property is an instance of ZAxis\n that may be specified as:\n - An instance of :class:`plotly.graph_objs.layout.scene.ZAxis`\n - A dict of string/value properties that will be passed\n to the ZAxis constructor\n\n Supported dict pro... | 4 | Python | 4 | 43e3a4011080911901176aab919c0ecf5046ddd3 | _scene.py | 231,647 | 2 | 11 | zaxis | https://github.com/plotly/plotly.py.git | switch to black .22 | 18 | 0 | 63,091 | 7 | |
1 | 5 | def get_deployment_statuses() -> Dict[str, DeploymentStatusInfo]:
return internal_get_global_client().get_deployment_statuses()
| python/ray/serve/api.py | 35 | ray | {
"docstring": "Returns a dictionary of deployment statuses.\n\n A deployment's status is one of {UPDATING, UNHEALTHY, and HEALTHY}.\n\n Example:\n >>> from ray.serve.api import get_deployment_statuses\n >>> statuses = get_deployment_statuses() # doctest: +SKIP\n >>> status_info = statuses[\"deployment... | 7 | Python | 7 | 60054995e65304fb14e6d0ab69bdec07aa9389fe | api.py | 147,381 | 18 | 20 | get_deployment_statuses | https://github.com/ray-project/ray.git | [docs] fix doctests and activate CI (#23418) | 13 | 0 | 33,930 | 9 | |
15 | 7 | def lexicographical_topological_sort(G, key=None):
if not G.is_directed():
msg = "Topological sort not defined on undirected graphs."
raise nx.NetworkXError(msg)
if key is None:
| networkx/algorithms/dag.py | 58 | networkx | {
"docstring": "Generate the nodes in the unique lexicographical topological sort order.\n\n Generates a unique ordering of nodes by first sorting topologically (for which there are often\n multiple valid orderings) and then additionally by sorting lexicographically.\n\n A topological sort arranges the nodes... | 21 | Python | 19 | 99a925f695080787d077f620972c6552c4b0b4ba | dag.py | 177,149 | 32 | 212 | lexicographical_topological_sort | https://github.com/networkx/networkx.git | docstring update to lexicographical_topological_sort issue 5681 (#5930)
* docstring update to lex-topo-sort
- explain effect and purpose for lexi sort
- add hints for fixing non-sortable nodes
- add hint to exception msg
- Add examples
* Shorten the first line of the doc_string
Co-authored-by: Dan Schult <... | 44 | 0 | 42,289 | 9 | |
1 | 17 | def test_run_summarization_no_trainer(self):
tmp_dir = self.get_auto_remove_tmp_dir()
testargs = f.split()
run_command(self._launch_args + testargs)
result = get_results(tmp_dir)
self.assertGreaterEqual(result["eval_rouge1"], 10)
self.assertGreaterEqual(result["eval_roug... | examples/pytorch/test_accelerate_examples.py | 213 | transformers | {
"docstring": "\n {self.examples_dir}/pytorch/summarization/run_summarization_no_trainer.py\n --model_name_or_path t5-small\n --train_file tests/fixtures/tests_samples/xsum/sample.json\n --validation_file tests/fixtures/tests_samples/xsum/sample.json\n --output_... | 26 | Python | 22 | 99eb9b523f9b9ea6096323ce5610ce6633acc88a | test_accelerate_examples.py | 32,333 | 24 | 122 | test_run_summarization_no_trainer | https://github.com/huggingface/transformers.git | Fix `no_trainer` CI (#18242)
* Fix all tests | 95 | 0 | 5,907 | 12 | |
3 | 21 | def test_views(self, postgres_db):
query =
for cid, char in [(CID_A, 'a'), (CID_B, 'b')]:
self.sql_via_http(
query.format(f'test_view_{char}', char),
company_id=cid,
expected_resp_type=RESPONSE_TYPE.OK
)
tables = sel... | tests/integration_tests/flows/test_company_independent.py | 309 | mindsdb | {
"docstring": "\n CREATE VIEW mindsdb.{}\n FROM test_integration_{} (\n select * from rentals limit 50\n )\n ",
"language": "en",
"n_whitespaces": 69,
"n_words": 13,
"vocab_size": 13
} | 81 | Python | 43 | b96825c643cb2ce062d80868a5b7824d99bca07f | test_company_independent.py | 118,187 | 54 | 200 | test_views | https://github.com/mindsdb/mindsdb.git | fix tests | 602 | 0 | 26,187 | 13 | |
7 | 27 | def plot(*args, show=True, **kwargs):
args = list(map(sympify, args))
free = set()
for a in args:
if isinstance(a, Expr):
free |= a.free_symbols
if len(free) > 1:
raise ValueError(
'The same variable should be used in all '
... | sympy/plotting/plot.py | 246 | sympy | {
"docstring": "Plots a function of a single variable as a curve.\n\n Parameters\n ==========\n\n args :\n The first argument is the expression representing the function\n of single variable to be plotted.\n\n The last argument is a 3-tuple denoting the range of the free\n variabl... | 76 | Python | 59 | 1473b1782d0e440c17ee0ce6283bff0aa7f515af | plot.py | 197,253 | 20 | 148 | plot | https://github.com/sympy/sympy.git | Use LaTeX for labels in matplotlib backend | 204 | 0 | 48,412 | 15 | |
1 | 4 | def setcbreak(filehandle):
set_console_mode(filehandle, CBREAK_MODE)
| src/textual/drivers/win32.py | 22 | textual | {
"docstring": "\n Args:\n filehandle(int): Windows filehandle object as returned by :py:func:`msvcrt.get_osfhandle`\n\n Raises:\n OSError: Error calling Windows API\n\n Convenience function which mimics :py:func:`tty.setcbreak` behavior\n\n All console input options are disabled except ``EN... | 4 | Python | 4 | 54e63428644710112215c4f2d27cd64daeeda6fa | win32.py | 182,009 | 2 | 12 | setcbreak | https://github.com/Textualize/textual.git | windows driver | 10 | 0 | 43,728 | 7 | |
1 | 9 | def test_pandas_arff_parser_strip_double_quotes(parser_func):
pd = pytest.importorskip("pandas")
arff_file = BytesIO(
textwrap.dedent(
| sklearn/datasets/tests/test_arff_parser.py | 39 | arff_file = BytesIO(
textwrap.dedent(
""" | scikit-learn | {
"docstring": "Check that we properly strip double quotes from the data.",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 10
} | 9 | Python | 8 | 8515b486810e844bc7f5f1a4fb2227405d46871e | test_arff_parser.py | 260,158 | 54 | 186 | test_pandas_arff_parser_strip_double_quotes | https://github.com/scikit-learn/scikit-learn.git | FIX make pandas and liac arff parser quoting behaviour closer (#23497)
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Loïc Estève <loic.esteve@ymail.com> | 37 | 1 | 76,098 | 9 |
6 | 10 | def url_result(url, ie=None, video_id=None, video_title=None, *, url_transparent=False, **kwargs):
if ie is not None:
kwargs['ie_key'] = ie if isinstance(ie, str) else ie.ie_key()
if video_id is not None:
kwargs['id'] = video_id
if video_title is not None:
... | yt_dlp/extractor/common.py | 151 | yt-dlp | {
"docstring": "Returns a URL that points to a page that should be processed",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 10
} | 49 | Python | 33 | 311b6615d85d3530f2709c50e4223ff3b6b14361 | common.py | 162,332 | 12 | 94 | url_result | https://github.com/yt-dlp/yt-dlp.git | [extractor] Improve `url_result` and related | 157 | 0 | 39,190 | 11 | |
4 | 12 | def stamp(self, visitor=None, **headers):
headers = headers.copy()
if visitor is not None:
headers.update(visitor.on_signature(self, **headers))
else:
headers["stamped_headers"] = [header for header in headers.keys() if header not in self.options]
_me... | celery/canvas.py | 130 | celery | {
"docstring": "Apply this task asynchronously.\n\n Arguments:\n visitor (StampingVisitor): Visitor API object.\n headers (Dict): Stamps that should be added to headers.\n ",
"language": "en",
"n_whitespaces": 55,
"n_words": 19,
"vocab_size": 19
} | 31 | Python | 26 | 1c4ff33bd22cf94e297bd6449a06b5a30c2c1fbc | canvas.py | 208,054 | 8 | 81 | stamp | https://github.com/celery/celery.git | Canvas Header Stamping (#7384)
* Strip down the header-stamping PR to the basics.
* Serialize groups.
* Add groups to result backend meta data.
* Fix spelling mistake.
* Revert changes to canvas.py
* Revert changes to app/base.py
* Add stamping implementation to canvas.py
* Send task to AMQP with ... | 99 | 0 | 52,183 | 13 | |
1 | 3 | def input_specs_inference(self) -> ModelSpec:
return ModelSpec()
| rllib/core/rl_module/rl_module.py | 23 | ray | {
"docstring": "Returns the input specs of the forward_inference method.",
"language": "en",
"n_whitespaces": 7,
"n_words": 8,
"vocab_size": 7
} | 6 | Python | 6 | 37de814a8598e0ea3dea23d5ae0caf9df54fa0e6 | rl_module.py | 134,355 | 3 | 12 | input_specs_inference | https://github.com/ray-project/ray.git | [RLlib] RLModule base class, RLModule PR 3/N (#29642)
Signed-off-by: Kourosh Hakhamaneshi <kourosh@anyscale.com> | 20 | 0 | 30,267 | 7 | |
1 | 13 | def test_payment_refund_or_void_void_called(void_mock, payment):
# given
payment.can_void = Mock(return_value=True)
assert payment.can_void() is True
payment.transactions.count() == 0
# when
gateway.payment_refund_or_void(payment, get_plugins_manager(), None)
# then
assert void_mo... | saleor/payment/tests/test_gateway.py | 101 | @patch("saleor.payment.gateway.void") | saleor | {
"docstring": "Ensure that the refund method is called when payment can be voided\n and there is no void transaction for given payment.",
"language": "en",
"n_whitespaces": 23,
"n_words": 21,
"vocab_size": 20
} | 25 | Python | 22 | 0881beec1ac02dfa97525c5173687defb356d85c | test_gateway.py | 26,688 | 6 | 53 | test_payment_refund_or_void_void_called | https://github.com/saleor/saleor.git | 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 | 51 | 1 | 5,047 | 9 |
2 | 11 | def idxmin(self, axis=0, skipna=True, *args, **kwargs):
i = self.argmin(axis, skipna, *args, **kwargs)
if i == -1:
return np.nan
return self.index[i]
| pandas/core/series.py | 80 | pandas | {
"docstring": "\n Return the row label of the minimum value.\n\n If multiple values equal the minimum, the first row label with that\n value is returned.\n\n Parameters\n ----------\n axis : {0 or 'index'}\n Unused. Parameter needed for compatibility with DataFram... | 20 | Python | 17 | 244f747bb63f45c1c439193f0672c6162853b168 | series.py | 166,614 | 5 | 53 | idxmin | https://github.com/pandas-dev/pandas.git | make series axis parameter docs consistent (#47109)
* make series docs consistent
add series unused param info to DF docs
* fix trailing whitespace
* fix docs build
* add unused
* add or update docs for all series methods
* small fix
* fix line length
* fix param order
* fix param order
*... | 59 | 0 | 39,843 | 9 | |
1 | 15 | def test_04_query_predictor_single_where_condition(self):
time.sleep(120) # TODO
query = f
response = self.handler.native_query(query)
self.assertTrue(response.type == RESPONSE_TYPE.TABLE)
self.assertTrue(len(response.data_frame) == 1)
self.assertTrue(response.data_frame... | mindsdb/integrations/handlers/lightwood_handler/tests/test_lightwood_handler.py | 143 | mindsdb | {
"docstring": "\n SELECT target\n from {self.test_model_1}\n WHERE sqft=100\n ",
"language": "en",
"n_whitespaces": 47,
"n_words": 6,
"vocab_size": 6
} | 24 | Python | 21 | b999051fd8153a1d3624471cac5483867116f985 | test_lightwood_handler.py | 116,582 | 12 | 83 | test_04_query_predictor_single_where_condition | https://github.com/mindsdb/mindsdb.git | test fix | 73 | 0 | 25,781 | 11 | |
1 | 19 | def test_archive_too_large_for_disk_cache(self, cache_getfile):
release = Release.objects.create(version="1", organization_id=self.project.organization_id)
self._create_archive(release, "foo")
# cache.getfile is only called for index, not for the archive
with override_options(... | tests/sentry/lang/javascript/test_processor.py | 134 | sentry | {
"docstring": "ReleaseFile.cache is not used if the archive is too large",
"language": "en",
"n_whitespaces": 9,
"n_words": 10,
"vocab_size": 9
} | 38 | Python | 32 | 8cdaa4e86e8296cdbc145f2a53d3eb38cb7a1c2b | test_processor.py | 90,777 | 8 | 79 | test_archive_too_large_for_disk_cache | https://github.com/getsentry/sentry.git | ref: close files explicitly in tests.sentry.lang.javascript.test_processor (#35262) | 105 | 0 | 18,688 | 12 | |
3 | 6 | def _is_current_explicit_device(device_type):
device_type = device_type.upper()
if device_type not in ["CPU", "GPU"]:
raise ValueError('`device_type` should be either "CPU" or "GPU".')
device = _get_current_tf_device()
return device is not None and device.device_type == device_type.upper()
... | keras/backend.py | 85 | keras | {
"docstring": "Check if the current device is explicitly set on the device type specified.\n\n Args:\n device_type: A string containing `GPU` or `CPU` (case-insensitive).\n\n Returns:\n A boolean indicating if the current device scope is explicitly set on the\n device type.\n\n Raises:\... | 31 | Python | 26 | 84afc5193d38057e2e2badf9c889ea87d80d8fbf | backend.py | 269,492 | 6 | 48 | _is_current_explicit_device | https://github.com/keras-team/keras.git | Reformatting the codebase with black.
PiperOrigin-RevId: 450093126 | 53 | 0 | 80,124 | 10 | |
8 | 17 | def _promote_fields(dt1, dt2):
# Both must be structured and have the same names in the same order
if (dt1.names is None or dt2.names is None) or dt1.names != dt2.names:
raise TypeError("invalid type promotion")
new_fields = []
for name in dt1.names:
field1 = dt1.fields[name]
... | numpy/core/_internal.py | 231 | numpy | {
"docstring": " Perform type promotion for two structured dtypes.\n\n Parameters\n ----------\n dt1 : structured dtype\n First dtype.\n dt2 : structured dtype\n Second dtype.\n\n Returns\n -------\n out : dtype\n The promoted dtype\n\n Notes\n -----\n If one of the ... | 81 | Python | 62 | a0c2e826738daa0cbd83aba85852405b73878f5b | _internal.py | 160,283 | 15 | 147 | _promote_fields | https://github.com/numpy/numpy.git | API: Fix structured dtype cast-safety, promotion, and comparison
This PR replaces the old gh-15509 implementing proper type promotion
for structured voids. It further fixes the casting safety to consider
casts with equivalent field number and matching order as "safe"
and if the names, titles, and offsets match as "eq... | 188 | 0 | 38,591 | 15 | |
1 | 29 | def test_read_video_from_file_rescale_width_and_height(self, test_video):
# video related
width, height, min_dimension, max_dimension = 320, 240, 0, 0
video_start_pts, video_end_pts = 0, -1
video_timebase_num, video_timebase_den = 0, 1
# audio related
samples, ch... | test/test_video_reader.py | 208 | vision | {
"docstring": "\n Test the case when decoder starts with a video file to decode frames, and\n both video height and width are set.\n ",
"language": "en",
"n_whitespaces": 43,
"n_words": 21,
"vocab_size": 19
} | 84 | Python | 52 | c50d48845f7b1ca86d6a3b7f37a59be0ae11e36b | test_video_reader.py | 192,311 | 31 | 145 | test_read_video_from_file_rescale_width_and_height | https://github.com/pytorch/vision.git | Improve test_video_reader (#5498)
* Improve test_video_reader
* Fix linter error | 394 | 0 | 46,880 | 10 | |
1 | 20 | def test_queries(self):
sql = "SELECT 1" + connection.features.bare_select_suffix
with connection.cursor() as cursor:
reset_queries()
cursor.execute(sql)
self.assertEqual(1, len(connection.queries))
self.assertIsInstance(connection.queries, list)
... | tests/backends/tests.py | 421 | django | {
"docstring": "\n Test the documented API of connection.queries.\n ",
"language": "en",
"n_whitespaces": 21,
"n_words": 6,
"vocab_size": 6
} | 79 | Python | 58 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | tests.py | 201,818 | 24 | 257 | test_queries | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 274 | 0 | 50,001 | 11 | |
3 | 14 | def b16decode(s, casefold=False):
s = _bytes_from_decode_data(s)
if casefold:
s = s.upper()
if re.search(b'[^0-9A-F]', s):
raise binascii.Error('Non-base16 digit found')
return binascii.unhexlify(s)
#
# Ascii85 encoding/decoding
#
_a85chars = None
_a85chars2 = None
_A85START = b"<... | python3.10.4/Lib/base64.py | 113 | XX-Net | {
"docstring": "Decode the Base16 encoded bytes-like object or ASCII string s.\n\n Optional casefold is a flag specifying whether a lowercase alphabet is\n acceptable as input. For security purposes, the default is False.\n\n The result is returned as a bytes object. A binascii.Error is raised if\n s is... | 37 | Python | 27 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | base64.py | 221,084 | 7 | 51 | b16decode | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 59 | 0 | 56,192 | 10 | |
2 | 15 | def timezone_tag(parser, token):
bits = token.split_contents()
if len(bits) != 2:
raise TemplateSyntaxError("'%s' takes one argument (timezone)" % bits[0])
tz = parser.compile_filter(bits[1])
nodelist = parser.parse(("endtimezone",))
parser.delete_first_token()
return TimezoneNode(n... | django/templatetags/tz.py | 126 | @register.tag("get_current_timezone") | django | {
"docstring": "\n Enable a given time zone just for this block.\n\n The ``timezone`` argument must be an instance of a ``tzinfo`` subclass, a\n time zone name, or ``None``. If it is ``None``, the default time zone is\n used within the block.\n\n Sample usage::\n\n {% timezone \"Europe/Paris\" %... | 29 | Python | 27 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | tz.py | 206,336 | 8 | 67 | timezone_tag | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 56 | 1 | 51,491 | 11 |
4 | 15 | def rich_text_style(self) -> Style:
# TODO: Feels like there may be opportunity for caching here.
background = Color(0, 0, 0, 0)
color = Color(255, 255, 255, 0)
style = Style()
for node in reversed(self.ancestors):
styles = node.styles
if styles... | src/textual/dom.py | 165 | textual | {
"docstring": "Get the text style object.\n\n A widget's style is influenced by its parent. For instance if a widgets background has an alpha,\n then its parent's background color will show throw. Additionally, widgets will inherit their\n parent's text style (i.e. bold, italic etc).\n\n ... | 58 | Python | 41 | 4090d351684342b8e28ef9d5451c7c821e18d1ae | dom.py | 183,097 | 22 | 103 | rich_text_style | https://github.com/Textualize/textual.git | new layout | 188 | 0 | 44,049 | 11 | |
11 | 37 | def to_numpy_recarray(G, nodelist=None, dtype=None, order=None):
import numpy as np
if dtype is None:
dtype = [("weight", float)]
if nodelist is None:
nodelist = list(G)
nodeset = G
nlen = len(G)
else:
nlen = len(nodelist)
nodeset = set(G.nbunch_ite... | networkx/convert_matrix.py | 385 | networkx | {
"docstring": "Returns the graph adjacency matrix as a NumPy recarray.\n\n Parameters\n ----------\n G : graph\n The NetworkX graph used to construct the NumPy recarray.\n\n nodelist : list, optional\n The rows and columns are ordered according to the nodes in `nodelist`.\n If `nodelis... | 119 | Python | 75 | 78cd999e9b60d1b403cb4b736311cb0e00335eea | convert_matrix.py | 176,299 | 28 | 246 | to_numpy_recarray | https://github.com/networkx/networkx.git | Document default dtype in to_numpy_recarray docstring. (#5315) | 323 | 0 | 41,816 | 18 | |
2 | 13 | def __new__(cls, name, manifold, **kwargs):
if not isinstance(name, Str):
name = Str(name)
obj = super().__new__(cls, name, manifold)
obj.manifold.patches.append(obj) # deprecated
obj.coord_systems = _deprecated_list(
, [])
return obj
| sympy/diffgeom/diffgeom.py | 101 | sympy | {
"docstring": "\n Patch.coord_systms is deprecated. The Patch class is now\n immutable. Instead use a separate list to keep track of coordinate\n systems.\n ",
"language": "en",
"n_whitespaces": 65,
"n_words": 20,
"vocab_size": 19
} | 27 | Python | 23 | f8674bfe4988332e7ce60ceb36b365ce9aff662a | diffgeom.py | 197,095 | 12 | 64 | __new__ | https://github.com/sympy/sympy.git | Update the sympy.diffgeom mutability deprecations | 83 | 0 | 48,335 | 10 | |
1 | 12 | def real_quick_ratio(self):
la, lb = len(self.a), len(self.b)
# can't have more matches than the number of elements in the
# shorter sequence
return _calculate_ratio(min(la, lb), la + lb)
__class_getitem__ = classmethod(GenericAlias)
| python3.10.4/Lib/difflib.py | 72 | XX-Net | {
"docstring": "Return an upper bound on ratio() very quickly.\n\n This isn't defined beyond that it is an upper bound on .ratio(), and\n is faster to compute than either .ratio() or .quick_ratio().\n ",
"language": "en",
"n_whitespaces": 51,
"n_words": 30,
"vocab_size": 25
} | 31 | Python | 28 | 8198943edd73a363c266633e1aa5b2a9e9c9f526 | difflib.py | 222,485 | 3 | 37 | real_quick_ratio | https://github.com/XX-net/XX-Net.git | add python 3.10.4 for windows | 69 | 0 | 56,586 | 10 | |
1 | 1 | def test_model_exclude_copy_on_model_validation():
| tests/test_main.py | 12 | pydantic | {
"docstring": "When `Config.copy_on_model_validation` is set, it should keep private attributes and excluded fields",
"language": "en",
"n_whitespaces": 11,
"n_words": 12,
"vocab_size": 12
} | 2 | Python | 2 | 5490ad5173743ef2bf85216d11b9ff0822b3d25b | test_main.py | 14,093 | 29 | 236 | test_model_exclude_copy_on_model_validation | https://github.com/pydantic/pydantic.git | fix: `Config.copy_on_model_validation` does a deep copy and not a shallow one (#3642)
* fix: `Config.copy_on_model_validation` does a deep copy and not a shallow one
closes #3641
* fix: typo
* use python 3.10 to run fastapi tests
* fix fastapi test call
Co-authored-by: Samuel Colvin <s@muelcolvin.com> | 5 | 0 | 2,817 | 6 | |
3 | 12 | def calculate_env(self):
env = dict(os.environ)
# Make sure we're using a local executor flavour
if conf.get("core", "executor") not in [
executor_constants.LOCAL_EXECUTOR,
executor_constants.SEQUENTIAL_EXECUTOR,
]:
if "sqlite" in conf.get("da... | airflow/cli/commands/standalone_command.py | 153 | airflow | {
"docstring": "\n Works out the environment variables needed to run subprocesses.\n We override some settings as part of being standalone.\n ",
"language": "en",
"n_whitespaces": 40,
"n_words": 18,
"vocab_size": 18
} | 47 | Python | 36 | d8889da29ccfcbecd2c89b9e8e278c480767d678 | standalone_command.py | 47,323 | 13 | 84 | calculate_env | https://github.com/apache/airflow.git | Move the database configuration to a new section (#22284)
Co-authored-by: gitstart-airflow <gitstart@users.noreply.github.com>
Co-authored-by: GitStart <1501599+gitstart@users.noreply.github.com>
Co-authored-by: Egbosi Kelechi <egbosikelechi@gmail.com> | 193 | 0 | 9,065 | 13 | |
4 | 76 | def interpret(*args):
df = pd.DataFrame([args], columns=X_train.columns)
df = df.astype({col: "category" for col in categorical_columns})
shap_values = explainer.shap_values(xgb.DMatrix(df, enable_categorical=True))
scores_desc = list(zip(shap_values[0], X_train.columns))
scores_desc = sorted(scores... | demo/xgboost-income-prediction-with-explainability/run.py | 1,103 | gradio | {
"docstring": "\n **Income Classification with XGBoost 💰**: This demo uses an XGBoost classifier predicts income based on demographic factors, along with Shapley value-based *explanations*. The [source code for this Gradio demo is here](https://huggingface.co/spaces/gradio/xgboost-income-prediction-with-explain... | 239 | Python | 149 | 597337dcb8762cca6e718b59a4ab6f5e333645fd | run.py | 180,915 | 13 | 138 | interpret | https://github.com/gradio-app/gradio.git | Adding a Playground Tab to the Website (#1860)
* added playground with 12 demos
* change name to recipes, restyle navbar
* add explanatory text to page
* fix demo mapping
* categorize demos, clean up design
* styling
* cateogry naming and emojis
* refactor and add text demos
* add view code but... | 1,686 | 0 | 43,252 | 16 | |
1 | 4 | def regex_lookup(self, lookup_type):
raise NotImplementedError(
"subclasses of BaseDatabaseOperations may require a regex_lookup() method"
)
| django/db/backends/base/operations.py | 25 | django | {
"docstring": "\n Return the string to use in a query when performing regular expression\n lookups (using \"regex\" or \"iregex\"). It should contain a '%s'\n placeholder for the column being searched against.\n\n If the feature is not supported (or part of it is not supported), raise\n ... | 14 | Python | 14 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | operations.py | 204,878 | 4 | 13 | regex_lookup | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 46 | 0 | 50,951 | 8 | |
2 | 8 | def execute():
frappe.reload_doc("accounts", "doctype", "gl_entry")
for doctype in ["Sales Invoice", "Purchase Invoice", "Journal Entry"]:
frappe.reload_doc("accounts", "doctype", frappe.scrub(doctype))
frappe.db.sql(
.format( # nosec
doctype=doctype
)
)
| erpnext/patches/v12_0/update_due_date_in_gle.py | 101 | erpnext | {
"docstring": " UPDATE `tabGL Entry`, `tab{doctype}`\n SET\n `tabGL Entry`.due_date = `tab{doctype}`.due_date\n WHERE\n `tabGL Entry`.voucher_no = `tab{doctype}`.name and `tabGL Entry`.party is not null\n and `tabGL Entry`.voucher_type in ('Sales Inv... | 24 | Python | 20 | 494bd9ef78313436f0424b918f200dab8fc7c20b | update_due_date_in_gle.py | 66,693 | 15 | 55 | execute | https://github.com/frappe/erpnext.git | style: format code with black | 16 | 0 | 14,296 | 12 | |
1 | 2 | async def async_tear_down(self) -> None:
| homeassistant/components/mqtt/mixins.py | 17 | core | {
"docstring": "Handle the cleanup of platform specific parts, extend to the platform.",
"language": "en",
"n_whitespaces": 10,
"n_words": 11,
"vocab_size": 10
} | 5 | Python | 5 | 3b2aae5045f9f08dc8f174c5d975852588e1a132 | mixins.py | 296,364 | 2 | 8 | async_tear_down | https://github.com/home-assistant/core.git | Refactor MQTT discovery (#67966)
* Proof of concept
* remove notify platform
* remove loose test
* Add rework from #67912 (#1)
* Move notify serviceupdater to Mixins
* Move tag discovery handler to Mixins
* fix tests
* Add typing for async_load_platform_helper
* Add add entry unload support for... | 12 | 0 | 95,348 | 6 | |
7 | 13 | def unpolarify(eq, subs=None, exponents_only=False):
if isinstance(eq, bool):
return eq
eq = sympify(eq)
if subs is not None:
return unpolarify(eq.subs(subs))
changed = True
pause = False
if exponents_only:
pause = True
while changed:
changed = False
... | sympy/functions/elementary/complexes.py | 184 | sympy | {
"docstring": "\n If `p` denotes the projection from the Riemann surface of the logarithm to\n the complex line, return a simplified version `eq'` of `eq` such that\n `p(eq') = p(eq)`.\n Also apply the substitution subs in the end. (This is a convenience, since\n ``unpolarify``, in a certain sense, un... | 75 | Python | 46 | cda8dfe6f45dc5ed394c2f5cda706cd6c729f713 | complexes.py | 195,857 | 19 | 116 | unpolarify | https://github.com/sympy/sympy.git | Improved documentation formatting | 190 | 0 | 47,444 | 11 | |
1 | 4 | def get_url_name(self, view_name):
return self.name + ":" + view_name
| wagtail/admin/viewsets/base.py | 29 | wagtail | {
"docstring": "\n Returns the namespaced URL name for the given view.\n ",
"language": "en",
"n_whitespaces": 24,
"n_words": 9,
"vocab_size": 8
} | 9 | Python | 8 | b4d3cf1c30b5fbe7eed09fab90c845f0cd0f678c | base.py | 77,721 | 2 | 16 | get_url_name | https://github.com/wagtail/wagtail.git | Docs for base ViewSet class | 23 | 0 | 16,698 | 8 | |
4 | 10 | def text(self, data):
data = data
middle = data.lstrip(spaceCharacters)
left = data[:len(data) - len(middle)]
if left:
yield {"type": "SpaceCharacters", "data": left}
data = middle
middle = data.rstrip(spaceCharacters)
right = data[len(middle)... | .venv/lib/python3.8/site-packages/pip/_vendor/html5lib/treewalkers/base.py | 169 | transferlearning | {
"docstring": "Generates SpaceCharacters and Characters tokens\n\n Depending on what's in the data, this generates one or more\n ``SpaceCharacters`` and ``Characters`` tokens.\n\n For example:\n\n >>> from html5lib.treewalkers.base import TreeWalker\n >>> # Give it an empty... | 44 | Python | 26 | f638f5d0e6c8ebed0e69a6584bc7f003ec646580 | base.py | 62,629 | 13 | 94 | text | https://github.com/jindongwang/transferlearning.git | upd; format | 147 | 0 | 13,021 | 11 | |
5 | 13 | def adapt_datetimefield_value(self, value):
if value is None:
return None
# Expression values are adapted by the database.
if hasattr(value, "resolve_expression"):
return value
# cx_Oracle doesn't support tz-aware datetimes
if timezone.is_aware... | django/db/backends/oracle/operations.py | 112 | django | {
"docstring": "\n Transform a datetime value to an object compatible with what is expected\n by the backend driver for datetime columns.\n\n If naive datetime is passed assumes that is in UTC. Normally Django\n models.DateTimeField makes sure that if USE_TZ is True passed datetime\n ... | 53 | Python | 42 | 9c19aff7c7561e3a82978a272ecdaad40dda5c00 | operations.py | 205,092 | 13 | 66 | adapt_datetimefield_value | https://github.com/django/django.git | Refs #33476 -- Reformatted code with Black. | 210 | 0 | 51,013 | 14 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.