Unnamed: 0 int64 0 2.93k | code stringlengths 101 62.2k | docs stringlengths 51 10.7k | doc_len int64 4 1.74k | words int64 4 4.82k | lang stringclasses 1
value | prompt stringlengths 320 71.2k |
|---|---|---|---|---|---|---|
0 | def rolling(self, *args, **kwargs) -> RollingGroupby:
from pandas.core.window import RollingGroupby
return RollingGroupby(
self._selected_obj,
*args,
_grouper=self.grouper,
_as_index=self.as_index,
**kwargs,
)
|
Return a rolling grouper, providing rolling functionality per group.
| 9 | 18 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def rolling(self, *args, **kwargs) -> RollingGroupby:
from pandas.core.window import RollingGroupby
return RollingGroupby(
self._selected_obj,
... |
1 | def expected_degree_graph(w, seed=None, selfloops=True):
r
n = len(w)
G = nx.empty_graph(n)
# If there are no nodes are no edges in the graph, return the empty graph.
if n == 0 or max(w) == 0:
return G
rho = 1 / sum(w)
# Sort the weights in decreasing order. The original order of t... | Returns a random graph with given expected degrees.
Given a sequence of expected degrees $W=(w_0,w_1,\ldots,w_{n-1})$
of length $n$ this algorithm assigns an edge between node $u$ and
node $v$ with probability
.. math::
p_{uv} = \frac{w_u w_v}{\sum_k w_k} .
Parameters
----------
w... | 298 | 179 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def expected_degree_graph(w, seed=None, selfloops=True):
r
n = len(w)
G = nx.empty_graph(n)
# If there are no nodes are no edges in the graph, return the empty graph.
if... |
2 | def save(self, path):
os.makedirs(path, exist_ok=True)
with open(os.path.join(path, "metrics.json"), "w") as fp:
json.dump(self.metrics, fp)
artifacts_metadata = {
artifact_name: {
"uri": artifact.uri,
"class_name": _get_fully_qua... | Write the evaluation results to the specified local filesystem path | 10 | 49 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def save(self, path):
os.makedirs(path, exist_ok=True)
with open(os.path.join(path, "metrics.json"), "w") as fp:
json.dump(self.metrics, fp)
art... |
3 | def test_build_group_generic_issue_attachment(self):
event = self.store_event(
data={"message": "Hello world", "level": "error"}, project_id=self.project.id
)
event = event.for_group(event.groups[0])
occurrence = self.build_occurrence(level="info")
occurrence... | Test that a generic issue type's Slack alert contains the expected values | 12 | 51 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_build_group_generic_issue_attachment(self):
event = self.store_event(
data={"message": "Hello world", "level": "error"}, project_id=self.project.id
... |
4 | def apply(self, func, mask=None) -> 'ImageProcessor':
img = orig_img = self._img
img = func(img).astype(orig_img.dtype)
if img.ndim != 4:
raise Exception('func used in ImageProcessor.apply changed format of image')
if mask is not None:
mask = self._check... |
apply your own function on internal image
image has NHWC format. Do not change format, but dims can be changed.
func callable (img) -> img
example:
.apply( lambda img: img-[102,127,63] )
| 31 | 45 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def apply(self, func, mask=None) -> 'ImageProcessor':
img = orig_img = self._img
img = func(img).astype(orig_img.dtype)
if img.ndim != 4:
raise E... |
5 | def predict(self, x):
# start the timer
self.timer.start()
v_, _ = self.eval_out() # evaluate the ratings and the associated probabilities
vp = self.sess.run(v_, feed_dict={self.vu: x})
# stop the timer
self.timer.stop()
log.info("Done infere... | Returns the inferred ratings. This method is similar to recommend_k_items() with the
exceptions that it returns all the inferred ratings
Basic mechanics:
The method samples new ratings from the learned joint distribution, together with
their probabilities. The input x must have the sam... | 108 | 38 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def predict(self, x):
# start the timer
self.timer.start()
v_, _ = self.eval_out() # evaluate the ratings and the associated probabilities
vp = se... |
6 | def raw_decode(self, s, idx=0):
try:
obj, end = self.scan_once(s, idx)
except StopIteration as err:
raise JSONDecodeError("Expecting value", s, err.value) from None
return obj, end
| Decode a JSON document from ``s`` (a ``str`` beginning with
a JSON document) and return a 2-tuple of the Python
representation and the index in ``s`` where the document ended.
This can be used to decode a JSON document from a string that may
have extraneous data at the end.
| 50 | 24 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def raw_decode(self, s, idx=0):
try:
obj, end = self.scan_once(s, idx)
except StopIteration as err:
raise JSONDecodeError("Expecting value", ... |
7 | def has_bridges(G, root=None):
try:
next(bridges(G))
except StopIteration:
return False
else:
return True
@not_implemented_for("multigraph")
@not_implemented_for("directed") | Decide whether a graph has any bridges.
A *bridge* in a graph is an edge whose removal causes the number of
connected components of the graph to increase.
Parameters
----------
G : undirected graph
root : node (optional)
A node in the graph `G`. If specified, only the bridges in the
... | 167 | 14 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def has_bridges(G, root=None):
try:
next(bridges(G))
except StopIteration:
return False
else:
return True
@not_implemented_for("multigraph")
@not_i... |
8 | def wheel_metadata(source, dist_info_dir):
# type: (ZipFile, str) -> Message
path = f"{dist_info_dir}/WHEEL"
# Zip file path separators must be /
wheel_contents = read_wheel_metadata_file(source, path)
try:
wheel_text = wheel_contents.decode()
except UnicodeDecodeError as e:
... | Return the WHEEL metadata of an extracted wheel, if possible.
Otherwise, raise UnsupportedWheel.
| 13 | 65 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def wheel_metadata(source, dist_info_dir):
# type: (ZipFile, str) -> Message
path = f"{dist_info_dir}/WHEEL"
# Zip file path separators must be /
wheel_contents = read_w... |
9 | def remove_column(self, i, *args, **kwargs):
table = self.table.remove_column(i, *args, **kwargs)
name = self.table.column_names[i]
blocks = []
for tables in self.blocks:
blocks.append(
[
t.remove_column(t.column_names.index(name),... |
Create new Table with the indicated column removed.
Args:
i (:obj:`int`):
Index of column to remove.
Returns:
:class:`datasets.table.Table`:
New table without the column.
| 23 | 40 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def remove_column(self, i, *args, **kwargs):
table = self.table.remove_column(i, *args, **kwargs)
name = self.table.column_names[i]
blocks = []
for t... |
10 | def test_cable_cannot_terminate_to_a_wireless_interface(self):
wireless_interface = Interface(device=self.device1, name="W1", type=InterfaceTypeChoices.TYPE_80211A)
cable = Cable(a_terminations=[self.interface2], b_terminations=[wireless_interface])
with self.assertRaises(ValidationErro... |
A cable cannot terminate to a wireless interface
| 8 | 14 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_cable_cannot_terminate_to_a_wireless_interface(self):
wireless_interface = Interface(device=self.device1, name="W1", type=InterfaceTypeChoices.TYPE_80211A)
... |
11 | def get_test_db_clone_settings(self, suffix):
# When this function is called, the test database has been created
# already and its name has been copied to settings_dict['NAME'] so
# we don't need to call _get_test_db_name.
orig_settings_dict = self.connection.settings_dict
... |
Return a modified connection settings dict for the n-th clone of a DB.
| 13 | 43 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def get_test_db_clone_settings(self, suffix):
# When this function is called, the test database has been created
# already and its name has been copied to settings_d... |
12 | def open(self, host='', port=IMAP4_PORT, timeout=None):
self.host = host
self.port = port
self.sock = self._create_socket(timeout)
self.file = self.sock.makefile('rb')
| Setup connection to remote server on "host:port"
(default: localhost:standard IMAP4 port).
This connection will be used by the routines:
read, readline, send, shutdown.
| 23 | 17 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def open(self, host='', port=IMAP4_PORT, timeout=None):
self.host = host
self.port = port
self.sock = self._create_socket(timeout)
self.file = self.s... |
13 | def synchronized_output_end_sequence(self) -> str:
if self.synchronised_output:
return TERMINAL_MODES_ANSI_SEQUENCES[Mode.SynchronizedOutput]["end_sync"]
return ""
|
Returns the ANSI sequence that we should send to the terminal to tell it that
it should stop buffering the content we're about to send.
If the terminal doesn't seem to support synchronised updates the string will be empty.
Returns:
str: the "synchronised output stop" ANSI s... | 65 | 10 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def synchronized_output_end_sequence(self) -> str:
if self.synchronised_output:
return TERMINAL_MODES_ANSI_SEQUENCES[Mode.SynchronizedOutput]["end_sync"]
... |
14 | def _band_penalty_coefficients(self, fc, q, gain, filter_frs):
ref_frs = biquad.digital_coeffs(self.frequency, 192e3, *biquad.peaking(fc, q, gain, fs=192e3))
est_sums = np.sum(filter_frs, axis=1)
ref_sums = np.sum(ref_frs, axis=1)
penalties = np.zeros((len(fc),))
mask = ... | Calculates penalty coefficients for filters if their transition bands extend beyond Nyquist frequency
The calculation is based on ratio of frequency response integrals between 44.1 kHz and 192 kHz
Args:
fc: Filter center frequencies, 1-D array
q: Filter qualities, 1-D array
... | 65 | 42 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _band_penalty_coefficients(self, fc, q, gain, filter_frs):
ref_frs = biquad.digital_coeffs(self.frequency, 192e3, *biquad.peaking(fc, q, gain, fs=192e3))
est_sum... |
15 | def test_predict_on_toy_problem(global_random_seed):
clf1 = LogisticRegression(random_state=global_random_seed)
clf2 = RandomForestClassifier(n_estimators=10, random_state=global_random_seed)
clf3 = GaussianNB()
X = np.array(
[[-1.1, -1.5], [-1.2, -1.4], [-3.4, -2.2], [1.1, 1.2], [2.1, 1.4... | Manually check predicted class labels for toy dataset. | 8 | 104 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_predict_on_toy_problem(global_random_seed):
clf1 = LogisticRegression(random_state=global_random_seed)
clf2 = RandomForestClassifier(n_estimators=10, random_state=globa... |
16 | def fit_transform(self, X, y=None):
self._validate_params()
return self._transform(X, fitting=True)
| Learn a list of feature name -> indices mappings and transform X.
Like fit(X) followed by transform(X), but does not require
materializing X in memory.
Parameters
----------
X : Mapping or iterable over Mappings
Dict(s) or Mapping(s) from feature names (arbitrary Py... | 78 | 8 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def fit_transform(self, X, y=None):
self._validate_params()
return self._transform(X, fitting=True)
```
###Assistant : Learn a list of feature name -> i... |
17 | def _on_feature_permission_requested(self, url, feature):
page = self._widget.page()
grant_permission = functools.partial(
page.setFeaturePermission, url, feature,
QWebEnginePage.PermissionPolicy.PermissionGrantedByUser)
deny_permission = functools.partial(
... | Ask the user for approval for geolocation/media/etc.. | 7 | 125 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _on_feature_permission_requested(self, url, feature):
page = self._widget.page()
grant_permission = functools.partial(
page.setFeaturePermission, url... |
18 | def add_find_python(self):
start = 402
for ver in self.versions:
install_path = r"SOFTWARE\Python\PythonCore\%s\InstallPath" % ver
machine_reg = "python.machine." + ver
user_reg = "python.user." + ver
machine_prop = "PYTHON.MACHINE." + ver
... | Adds code to the installer to compute the location of Python.
Properties PYTHON.MACHINE.X.Y and PYTHON.USER.X.Y will be set from the
registry for each version of Python.
Properties TARGETDIRX.Y will be set from PYTHON.USER.X.Y if defined,
else from PYTHON.MACHINE.X.Y.
Properti... | 45 | 167 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def add_find_python(self):
start = 402
for ver in self.versions:
install_path = r"SOFTWARE\Python\PythonCore\%s\InstallPath" % ver
machine_r... |
19 | def write_exports(self, exports):
rf = self.get_distinfo_file(EXPORTS_FILENAME)
with open(rf, 'w') as f:
write_exports(exports, f)
|
Write a dictionary of exports to a file in .ini format.
:param exports: A dictionary of exports, mapping an export category to
a list of :class:`ExportEntry` instances describing the
individual export entries.
| 32 | 13 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def write_exports(self, exports):
rf = self.get_distinfo_file(EXPORTS_FILENAME)
with open(rf, 'w') as f:
write_exports(exports, f)
```
###As... |
20 | def _get_action_handler_with_module_context(self, connection, templar):
module_collection, separator, module_name = self._task.action.rpartition(".")
module_prefix = module_name.split('_')[0]
if module_collection:
# For network modules, which look for one action plugin per p... |
Returns the correct action plugin to handle the requestion task action and the module context
| 15 | 191 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _get_action_handler_with_module_context(self, connection, templar):
module_collection, separator, module_name = self._task.action.rpartition(".")
module_prefix =... |
21 | def forward(self, y_hat, y, length):
mask = sequence_mask(sequence_length=length, max_len=y.size(1)).unsqueeze(2)
y_norm = sample_wise_min_max(y, mask)
y_hat_norm = sample_wise_min_max(y_hat, mask)
ssim_loss = self.loss_func((y_norm * mask).unsqueeze(1), (y_hat_norm * mask).unsq... |
Args:
y_hat (tensor): model prediction values.
y (tensor): target values.
length (tensor): length of each sample in a batch for masking.
Shapes:
y_hat: B x T X D
y: B x T x D
length: B
Returns:
loss: An avera... | 50 | 61 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def forward(self, y_hat, y, length):
mask = sequence_mask(sequence_length=length, max_len=y.size(1)).unsqueeze(2)
y_norm = sample_wise_min_max(y, mask)
y_hat... |
22 | def get_commands():
commands = {name: 'django.core' for name in find_commands(__path__[0])}
if not settings.configured:
return commands
for app_config in reversed(apps.get_app_configs()):
path = os.path.join(app_config.path, 'management')
commands.update({name: app_config.name... |
Return a dictionary mapping command names to their callback applications.
Look for a management.commands package in django.core, and in each
installed application -- if a commands package exists, register all
commands in that package.
Core commands are always included. If a settings module has be... | 115 | 31 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def get_commands():
commands = {name: 'django.core' for name in find_commands(__path__[0])}
if not settings.configured:
return commands
for app_config in reversed(... |
23 | def getphraselist(self):
plist = []
while self.pos < len(self.field):
if self.field[self.pos] in self.FWS:
self.pos += 1
elif self.field[self.pos] == '"':
plist.append(self.getquote())
elif self.field[self.pos] == '(':
... | Parse a sequence of RFC 2822 phrases.
A phrase is a sequence of words, which are in turn either RFC 2822
atoms or quoted-strings. Phrases are canonicalized by squeezing all
runs of continuous whitespace into one space.
| 37 | 35 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def getphraselist(self):
plist = []
while self.pos < len(self.field):
if self.field[self.pos] in self.FWS:
self.pos += 1
eli... |
24 | def set_location(self, location):
# This puts the rectangle into figure-relative coordinates.
if isinstance(location, str):
_api.check_in_list(self._locstrings, location=location)
self._pos = 1. if location in ('top', 'right') else 0.
elif isinstance(location, n... |
Set the vertical or horizontal location of the axes in
parent-normalized coordinates.
Parameters
----------
location : {'top', 'bottom', 'left', 'right'} or float
The position to put the secondary axis. Strings can be 'top' or
'bottom' for orientation='... | 71 | 142 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def set_location(self, location):
# This puts the rectangle into figure-relative coordinates.
if isinstance(location, str):
_api.check_in_list(self._loc... |
25 | def length(self):
if self._length_cache is None:
if len(self.call_queue):
self.drain_call_queue()
else:
self._length_cache, self._width_cache = _get_index_and_columns.remote(
self.oid
)
if isinstance(sel... |
Get the length of the object wrapped by this partition.
Returns
-------
int
The length of the object.
| 18 | 24 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def length(self):
if self._length_cache is None:
if len(self.call_queue):
self.drain_call_queue()
else:
self._length_... |
26 | def dmp_l2_norm_squared(f, u, K):
if not u:
return dup_l2_norm_squared(f, K)
v = u - 1
return sum([ dmp_l2_norm_squared(c, v, K) for c in f ])
|
Returns squared l2 norm of a polynomial in ``K[X]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x,y = ring("x,y", ZZ)
>>> R.dmp_l2_norm_squared(2*x*y - x - 3)
14
| 30 | 25 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def dmp_l2_norm_squared(f, u, K):
if not u:
return dup_l2_norm_squared(f, K)
v = u - 1
return sum([ dmp_l2_norm_squared(c, v, K) for c in f ])
```
##... |
27 | def cloud_filter(args, targets): # type: (IntegrationConfig, t.Tuple[IntegrationTarget, ...]) -> t.List[str]
if args.metadata.cloud_config is not None:
return [] # cloud filter already performed prior to delegation
exclude = [] # type: t.List[str]
for provider in get_cloud_providers(args, ... | Return a list of target names to exclude based on the given targets. | 13 | 40 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def cloud_filter(args, targets): # type: (IntegrationConfig, t.Tuple[IntegrationTarget, ...]) -> t.List[str]
if args.metadata.cloud_config is not None:
return [] # cloud f... |
28 | def test_upgrade_available_none():
chk_upgrade_out = (
"Last metadata expiration check: 22:5:48 ago on Mon Dec 6 19:26:36 EST 2021."
)
dnf_call = MagicMock(return_value={"retcode": 100, "stdout": chk_upgrade_out})
version_mock = MagicMock(return_value="6.6-2")
with patch("pathlib.Pat... |
test upgrade available where a valid upgrade is not available
| 10 | 64 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_upgrade_available_none():
chk_upgrade_out = (
"Last metadata expiration check: 22:5:48 ago on Mon Dec 6 19:26:36 EST 2021."
)
dnf_call = MagicMock(return... |
29 | def test_too_many_boosted_releases_do_not_boost_anymore(self):
release_2 = Release.get_or_create(self.project, "2.0")
release_3 = Release.get_or_create(self.project, "3.0")
for release_id in (self.release.id, release_2.id):
self.redis_client.set(f"ds::p:{self.project.id}:r:... |
This test tests the case when we have already too many boosted releases, in this case we want to skip the
boosting of anymore releases
| 25 | 56 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_too_many_boosted_releases_do_not_boost_anymore(self):
release_2 = Release.get_or_create(self.project, "2.0")
release_3 = Release.get_or_create(self.project,... |
30 | def hits(G, max_iter=100, tol=1.0e-8, nstart=None, normalized=True):
import numpy as np
import scipy as sp
import scipy.sparse.linalg # call as sp.sparse.linalg
if len(G) == 0:
return {}, {}
A = nx.adjacency_matrix(G, nodelist=list(G), dtype=float)
if nstart is None:
u, s... | Returns HITS hubs and authorities values for nodes.
The HITS algorithm computes two numbers for a node.
Authorities estimates the node value based on the incoming links.
Hubs estimates the node value based on outgoing links.
Parameters
----------
G : graph
A NetworkX graph
max_iter ... | 248 | 90 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def hits(G, max_iter=100, tol=1.0e-8, nstart=None, normalized=True):
import numpy as np
import scipy as sp
import scipy.sparse.linalg # call as sp.sparse.linalg
if len... |
31 | def test_connection(self) -> Tuple[bool, str]:
try:
conn = self.get_conn()
conn.pwd
return True, "Connection successfully tested"
except Exception as e:
return False, str(e)
| Test the FTP connection by calling path with directory | 9 | 22 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_connection(self) -> Tuple[bool, str]:
try:
conn = self.get_conn()
conn.pwd
return True, "Connection successfully tested"
... |
32 | def call_price(self, other_args):
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
prog="price",
description=,
)
parser.add_argument(
"-s",
"--symbol",
... | Process price commandDisplay price and interval of confidence in real-time. [Source: Pyth] | 12 | 74 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def call_price(self, other_args):
parser = argparse.ArgumentParser(
add_help=False,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
... |
33 | def _single_map_nested(args):
function, data_struct, types, rank, disable_tqdm, desc = args
# Singleton first to spare some computation
if not isinstance(data_struct, dict) and not isinstance(data_struct, types):
return function(data_struct)
# Reduce logging to keep things readable in mul... | Apply a function recursively to each element of a nested data struct. | 12 | 182 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _single_map_nested(args):
function, data_struct, types, rank, disable_tqdm, desc = args
# Singleton first to spare some computation
if not isinstance(data_struct, dict)... |
34 | def test_unified(self):
self.write_settings("settings_to_diff.py", sdict={"FOO": '"bar"'})
args = ["diffsettings", "--settings=settings_to_diff", "--output=unified"]
out, err = self.run_manage(args)
self.assertNoOutput(err)
self.assertOutput(out, "+ FOO = 'bar'")
... | --output=unified emits settings diff in unified mode. | 7 | 35 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_unified(self):
self.write_settings("settings_to_diff.py", sdict={"FOO": '"bar"'})
args = ["diffsettings", "--settings=settings_to_diff", "--output=unified"]... |
35 | def runtime_env(self):
return RuntimeEnv.deserialize(self._get_runtime_env_string())
| Get the runtime env of the current job/worker.
If this API is called in driver or ray client, returns the job level runtime
env.
If this API is called in workers/actors, returns the worker level runtime env.
Returns:
A new ray.runtime_env.RuntimeEnv instance.
To me... | 95 | 4 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def runtime_env(self):
return RuntimeEnv.deserialize(self._get_runtime_env_string())
```
###Assistant : Get the runtime env of the current job/worker.
... |
36 | def sleeper(self, duration):
s = time()
yield
time_to_sleep = duration - (time() - s)
if time_to_sleep > 0:
self.wait(time_to_sleep)
|
Do something and then wait for a given duration minus the time it took doing something
| 16 | 19 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def sleeper(self, duration):
s = time()
yield
time_to_sleep = duration - (time() - s)
if time_to_sleep > 0:
self.wait(time_to_sleep)
... |
37 | def test_BoundaryNorm():
boundaries = [0, 1.1, 2.2]
vals = [-1, 0, 1, 2, 2.2, 4]
# Without interpolation
expected = [-1, 0, 0, 1, 2, 2]
ncolors = len(boundaries) - 1
bn = mcolors.BoundaryNorm(boundaries, ncolors)
assert_array_equal(bn(vals), expected)
# ncolors != len(boundaries)... |
GitHub issue #1258: interpolation was failing with numpy
1.7 pre-release.
| 10 | 623 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_BoundaryNorm():
boundaries = [0, 1.1, 2.2]
vals = [-1, 0, 1, 2, 2.2, 4]
# Without interpolation
expected = [-1, 0, 0, 1, 2, 2]
ncolors = len(boundaries) -... |
38 | def _join_by_index(self, other_modin_frames, how, sort, ignore_index):
if how == "outer":
raise NotImplementedError("outer join is not supported in HDK engine")
lhs = self._maybe_materialize_rowid()
reset_index_names = False
for rhs in other_modin_frames:
... |
Perform equi-join operation for multiple frames by index columns.
Parameters
----------
other_modin_frames : list of HdkOnNativeDataframe
Frames to join with.
how : str
A type of join.
sort : bool
Sort the result by join keys.
... | 55 | 171 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _join_by_index(self, other_modin_frames, how, sort, ignore_index):
if how == "outer":
raise NotImplementedError("outer join is not supported in HDK engine")
... |
39 | def _object2proto(self) -> RunFunctionOrConstructorAction_PB:
return RunFunctionOrConstructorAction_PB(
path=self.path,
args=[serialize(x, to_bytes=True) for x in self.args],
kwargs={k: serialize(v, to_bytes=True) for k, v in self.kwargs.items()},
id_at_l... | Returns a protobuf serialization of self.
As a requirement of all objects which inherit from Serializable,
this method transforms the current object into the corresponding
Protobuf object so that it can be further serialized.
:return: returns a protobuf object
:rtype: RunFuncti... | 68 | 25 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _object2proto(self) -> RunFunctionOrConstructorAction_PB:
return RunFunctionOrConstructorAction_PB(
path=self.path,
args=[serialize(x, to_bytes=T... |
40 | 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],
... |
Returns the skeleton of the truncated cube.
The truncated cube is an Archimedean solid with 14 regular
faces (6 octagonal and 8 triangular), 36 edges and 24 nodes [1]_.
The truncated cube is created by truncating (cutting off) the tips
of the cube one third of the way into each edge [2]_.
Par... | 91 | 56 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def truncated_cube_graph(create_using=None):
description = [
"adjacencylist",
"Truncated Cube Graph",
24,
[
[2, 3, 5],
[12, 1... |
41 | def get_admin_urls_for_registration(self):
urls = ()
for instance in self.modeladmin_instances:
urls += instance.get_admin_urls_for_registration()
return urls
|
Utilised by Wagtail's 'register_admin_urls' hook to register urls for
used by any associated ModelAdmin instances
| 15 | 14 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def get_admin_urls_for_registration(self):
urls = ()
for instance in self.modeladmin_instances:
urls += instance.get_admin_urls_for_registration()
... |
42 | def setName(self, name):
self.name = name
self.errmsg = "Expected " + self.name
if __diag__.enable_debug_on_named_expressions:
self.setDebug()
return self
|
Define name for this expression, makes debugging and exception messages clearer.
Example::
Word(nums).parseString("ABC") # -> Exception: Expected W:(0123...) (at char 0), (line:1, col:1)
Word(nums).setName("integer").parseString("ABC") # -> Exception: Expected integer (at ch... | 34 | 17 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def setName(self, name):
self.name = name
self.errmsg = "Expected " + self.name
if __diag__.enable_debug_on_named_expressions:
self.setDebug()
... |
43 | 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... |
Extract aggregation function from groupby arguments.
Parameters
----------
key : callable or str
Default aggregation function. If aggregation function is not specified
via groupby arguments, then `key` function is used.
**kwargs : dict
GroupB... | 106 | 21 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
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:
... |
44 | def update_scheduler(self, metric):
self.worker_group.apply_all_operators(
lambda op: [sched.step(metric) for sched in op._schedulers]
)
| Calls ``scheduler.step(metric)`` on all registered schedulers.
This is useful for lr_schedulers such as ``ReduceLROnPlateau``.
| 14 | 12 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def update_scheduler(self, metric):
self.worker_group.apply_all_operators(
lambda op: [sched.step(metric) for sched in op._schedulers]
)
```
... |
45 | def paired_cosine_distances(X, Y):
X, Y = check_paired_arrays(X, Y)
return 0.5 * row_norms(normalize(X) - normalize(Y), squared=True)
PAIRED_DISTANCES = {
"cosine": paired_cosine_distances,
"euclidean": paired_euclidean_distances,
"l2": paired_euclidean_distances,
"l1": paired_manhattan_d... |
Compute the paired cosine distances between X and Y.
Read more in the :ref:`User Guide <metrics>`.
Parameters
----------
X : array-like of shape (n_samples, n_features)
An array where each row is a sample and each column is a feature.
Y : array-like of shape (n_samples, n_features)
... | 114 | 31 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def paired_cosine_distances(X, Y):
X, Y = check_paired_arrays(X, Y)
return 0.5 * row_norms(normalize(X) - normalize(Y), squared=True)
PAIRED_DISTANCES = {
"cosine": paired... |
46 | def torchdynamo_smart_context_manager(self):
ctx_manager = contextlib.nullcontext()
if is_torchdynamo_available():
import torchdynamo
from torchdynamo.optimizations.training import aot_autograd_speedup_strategy
if self.args.torchdynamo == "eager":
... |
A helper wrapper that creates an appropriate context manager for `torchdynamo`.
| 11 | 29 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def torchdynamo_smart_context_manager(self):
ctx_manager = contextlib.nullcontext()
if is_torchdynamo_available():
import torchdynamo
from to... |
47 | def check_aug_version(self) -> bool:
self.aug.set("/test/path/testing/arg", "aRgUMeNT")
try:
matches = self.aug.match(
"/test//*[self::arg=~regexp('argument', 'i')]")
except RuntimeError:
self.aug.remove("/test/path")
return False
... | Checks that we have recent enough version of libaugeas.
If augeas version is recent enough, it will support case insensitive
regexp matching | 22 | 20 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def check_aug_version(self) -> bool:
self.aug.set("/test/path/testing/arg", "aRgUMeNT")
try:
matches = self.aug.match(
"/test//*[self::a... |
48 | def resize_depth(depth, width, height):
depth = torch.squeeze(depth[0, :, :, :]).to("cpu")
depth_resized = cv2.resize(
depth.numpy(), (width, height), interpolation=cv2.INTER_CUBIC
)
return depth_resized
| Resize depth map and bring to CPU (numpy).
Args:
depth (tensor): depth
width (int): image width
height (int): image height
Returns:
array: processed depth
| 24 | 20 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def resize_depth(depth, width, height):
depth = torch.squeeze(depth[0, :, :, :]).to("cpu")
depth_resized = cv2.resize(
depth.numpy(), (width, height), interpolation=cv2... |
49 | def comp(z1, z2, tol=None):
r
if type(z2) is str:
if not pure_complex(z1, or_real=True):
raise ValueError('when z2 is a str z1 must be a Number')
return str(z1) == z2
if not z1:
z1, z2 = z2, z1
if not z1:
return True
if not tol:
a, b = z1, z2
... | Return a bool indicating whether the error between z1 and z2
is $\le$ ``tol``.
Examples
========
If ``tol`` is ``None`` then ``True`` will be returned if
:math:`|z1 - z2|\times 10^p \le 5` where $p$ is minimum value of the
decimal precision of each value.
>>> from sympy import comp, pi
... | 217 | 213 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def comp(z1, z2, tol=None):
r
if type(z2) is str:
if not pure_complex(z1, or_real=True):
raise ValueError('when z2 is a str z1 must be a Number')
return s... |
50 | def _parse_img_level_ann(self, image_level_ann_file):
item_lists = defaultdict(list)
with self.file_client.get_local_path(
image_level_ann_file) as local_path:
with open(local_path, 'r') as f:
reader = csv.reader(f)
i = -1
... | Parse image level annotations from csv style ann_file.
Args:
image_level_ann_file (str): CSV style image level annotation
file path.
Returns:
defaultdict[list[dict]]: Annotations where item of the defaultdict
indicates an image, each of which has (n)... | 51 | 58 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def _parse_img_level_ann(self, image_level_ann_file):
item_lists = defaultdict(list)
with self.file_client.get_local_path(
image_level_ann_file) as ... |
51 | def logical_and(self, a, b):
a = _convert_other(a, raiseit=True)
return a.logical_and(b, context=self)
| Applies the logical operation 'and' between each operand's digits.
The operands must be both logical numbers.
>>> ExtendedContext.logical_and(Decimal('0'), Decimal('0'))
Decimal('0')
>>> ExtendedContext.logical_and(Decimal('0'), Decimal('1'))
Decimal('0')
>>> ExtendedCo... | 52 | 11 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def logical_and(self, a, b):
a = _convert_other(a, raiseit=True)
return a.logical_and(b, context=self)
```
###Assistant : Applies the logical operation ... |
52 | def decrement_part_small(self, part, ub):
if self.lpart >= ub - 1:
self.p1 += 1 # increment to keep track of usefulness of tests
return False
plen = len(part)
for j in range(plen - 1, -1, -1):
# Knuth's mod, (answer to problem 7.2.1.5.69)
... | Decrements part (a subrange of pstack), if possible, returning
True iff the part was successfully decremented.
Parameters
==========
part
part to be decremented (topmost part on the stack)
ub
the maximum number of parts allowed in a partition
... | 319 | 182 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def decrement_part_small(self, part, ub):
if self.lpart >= ub - 1:
self.p1 += 1 # increment to keep track of usefulness of tests
return False
... |
53 | def get_node_id(self) -> str:
node_id = self.worker.current_node_id
assert not node_id.is_nil()
return node_id.hex()
| Get current node ID for this worker or driver.
Node ID is the id of a node that your driver, task, or actor runs.
The ID will be in hex format.
Returns:
A node id in hex format for this worker or driver.
| 43 | 12 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def get_node_id(self) -> str:
node_id = self.worker.current_node_id
assert not node_id.is_nil()
return node_id.hex()
```
###Assistant : Get curr... |
54 | def list_option(*, info):
return _option(
info,
"List options",
lambda opt: (isinstance(info.config.get_obj(opt.name), list) and
not opt.no_autoconfig)
)
| A CompletionModel filled with settings whose values are lists. | 9 | 16 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def list_option(*, info):
return _option(
info,
"List options",
lambda opt: (isinstance(info.config.get_obj(opt.name), list) and
not opt.no_autoc... |
55 | def get_instance_from_config_with_end_date(config, query):
start_date = "2021-03-04"
end_date = "2021-04-04"
conversion_window_days = 14
google_api = GoogleAds(credentials=config["credentials"], customer_id=config["customer_id"])
instance = CustomQuery(
api=google_api,
conversion_wi... |
SELecT
campaign.id,
campaign.name,
campaign.status,
metrics.impressions FROM campaign
wheRe campaign.status = 'PAUSED'
AND metrics.impressions > 100
order by campaign.status
SELECT
campaign.accessible_bidding_strategy,
segments.ad_destination_type,
campaign.... | 29 | 53 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def get_instance_from_config_with_end_date(config, query):
start_date = "2021-03-04"
end_date = "2021-04-04"
conversion_window_days = 14
google_api = GoogleAds(credentials=co... |
56 | def node_degree_xy(G, x="out", y="in", weight=None, nodes=None):
nodes = set(G) if nodes is None else set(nodes)
if G.is_directed():
direction = {"out": G.out_degree, "in": G.in_degree}
xdeg = direction[x]
ydeg = direction[y]
else:
xdeg = ydeg = G.degree
for u, degu... | Generate node degree-degree pairs for edges in G.
Parameters
----------
G: NetworkX graph
x: string ('in','out')
The degree type for source node (directed graphs only).
y: string ('in','out')
The degree type for target node (directed graphs only).
weight: string or None, option... | 157 | 69 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def node_degree_xy(G, x="out", y="in", weight=None, nodes=None):
nodes = set(G) if nodes is None else set(nodes)
if G.is_directed():
direction = {"out": G.out_degree, "i... |
57 | def validate(self, num_steps=None, profile=False, reduce_results=True, info=None):
worker_stats = self.worker_group.validate(
num_steps=num_steps, profile=profile, info=info
)
if reduce_results:
return self._process_stats(worker_stats)
else:
... | Evaluates the model on the validation data set.
Args:
num_steps (int): Number of batches to compute update steps on
per worker. This corresponds also to the number of times
``TrainingOperator.validate_batch`` is called per worker.
profile (bool): Returns ... | 113 | 20 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def validate(self, num_steps=None, profile=False, reduce_results=True, info=None):
worker_stats = self.worker_group.validate(
num_steps=num_steps, profile=profil... |
58 | def set_raw_scale(self, in_, scale):
self.__check_input(in_)
self.raw_scale[in_] = scale
|
Set the scale of raw features s.t. the input blob = input * scale.
While Python represents images in [0, 1], certain Caffe models
like CaffeNet and AlexNet represent images in [0, 255] so the raw_scale
of these models must be 255.
Parameters
----------
in_ : whi... | 57 | 8 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def set_raw_scale(self, in_, scale):
self.__check_input(in_)
self.raw_scale[in_] = scale
```
###Assistant :
Set the scale of raw features s.t. ... |
59 | def test_add_rule_to_best_shard():
# If we start with an empty list, then add to first shard
shards: List[List[bazel_sharding.BazelRule]] = [list() for _ in range(4)]
optimum = 600
rule = bazel_sharding.BazelRule("mock", "medium")
bazel_sharding.add_rule_to_best_shard(rule, shards, optimum)
... | Test that the best shard in optimal strategy is chosen correctly. | 11 | 151 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_add_rule_to_best_shard():
# If we start with an empty list, then add to first shard
shards: List[List[bazel_sharding.BazelRule]] = [list() for _ in range(4)]
optim... |
60 | def async_heartbeat(self) -> None:
self._computed_state = False
self._restart_timer()
self.async_write_ha_state()
| Mark the device as online, and restart the 25 hour timer.
This gets called when the heartbeat node beats, but also when the
parent sensor sends any events, as we can trust that to mean the device
is online. This mitigates the risk of false positives due to a single
missed heartbeat even... | 53 | 9 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def async_heartbeat(self) -> None:
self._computed_state = False
self._restart_timer()
self.async_write_ha_state()
```
###Assistant : Mark the de... |
61 | def test_assert_series_equal_interval_dtype_mismatch():
# https://github.com/pandas-dev/pandas/issues/32747
left = Series([pd.Interval(0, 1, "right")], dtype="interval")
right = left.astype(object)
msg =
tm.assert_series_equal(left, right, check_dtype=False)
with pytest.raises(AssertionError... | Attributes of Series are different
Attribute "dtype" are different
\\[left\\]: interval\\[int64, right\\]
\\[right\\]: object | 14 | 24 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_assert_series_equal_interval_dtype_mismatch():
# https://github.com/pandas-dev/pandas/issues/32747
left = Series([pd.Interval(0, 1, "right")], dtype="interval")
right = ... |
62 | def rc_file_defaults():
# Deprecation warnings were already handled when creating rcParamsOrig, no
# need to reemit them here.
with _api.suppress_matplotlib_deprecation_warning():
from .style.core import STYLE_BLACKLIST
rcParams.update({k: rcParamsOrig[k] for k in rcParamsOrig
... |
Restore the `.rcParams` from the original rc file loaded by Matplotlib.
Style-blacklisted `.rcParams` (defined in
``matplotlib.style.core.STYLE_BLACKLIST``) are not updated.
| 19 | 35 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def rc_file_defaults():
# Deprecation warnings were already handled when creating rcParamsOrig, no
# need to reemit them here.
with _api.suppress_matplotlib_deprecation_warn... |
63 | def lexer(self) -> Optional[Lexer]:
if isinstance(self._lexer, Lexer):
return self._lexer
try:
return get_lexer_by_name(
self._lexer,
stripnl=False,
ensurenl=True,
tabsize=self.tab_size,
)
... | The lexer for this syntax, or None if no lexer was found.
Tries to find the lexer by name if a string was passed to the constructor.
| 27 | 21 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def lexer(self) -> Optional[Lexer]:
if isinstance(self._lexer, Lexer):
return self._lexer
try:
return get_lexer_by_name(
sel... |
64 | def test_numeric_repl(file, multiline_file):
file.replace(multiline_file, r"Etiam", 123)
assert "123" in multiline_file.read_text()
|
This test covers cases where the replacement string is numeric. The CLI
parser yaml-fies it into a numeric type. If not converted back to a string
type in file.replace, a TypeError occurs when the replace is attempted. See
https://github.com/saltstack/salt/issues/9097 for more information.
| 42 | 10 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_numeric_repl(file, multiline_file):
file.replace(multiline_file, r"Etiam", 123)
assert "123" in multiline_file.read_text()
```
###Assistant :
This te... |
65 | def set_interpret_parameters(self, segments=16):
self.interpretation_segments = segments
return self
|
Calculates interpretation score of image subsections by splitting the image into subsections, then using a "leave one out" method to calculate the score of each subsection by whiting out the subsection and measuring the delta of the output value.
Parameters:
segments (int): Number of interpreta... | 50 | 8 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def set_interpret_parameters(self, segments=16):
self.interpretation_segments = segments
return self
```
###Assistant :
Calculates interpretati... |
66 | def can_native_upsert(self) -> bool:
return sqlite3.sqlite_version_info >= (3, 24, 0)
|
Do we support native UPSERTs? This requires SQLite3 3.24+, plus some
more work we haven't done yet to tell what was inserted vs updated.
| 24 | 10 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def can_native_upsert(self) -> bool:
return sqlite3.sqlite_version_info >= (3, 24, 0)
```
###Assistant :
Do we support native UPSERTs? This requires SQ... |
67 | async def get_actors(self) -> dict:
reply = await self._client.get_all_actor_info(timeout=DEFAULT_RPC_TIMEOUT)
result = {}
for message in reply.actor_table_data:
data = self._message_to_dict(message=message, fields_to_decode=["actor_id"])
data = filter_fields(dat... | List all actor information from the cluster.
Returns:
{actor_id -> actor_data_in_dict}
actor_data_in_dict's schema is in ActorState
| 16 | 29 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
async def get_actors(self) -> dict:
reply = await self._client.get_all_actor_info(timeout=DEFAULT_RPC_TIMEOUT)
result = {}
for message in reply.actor_table_d... |
68 | def insert_predictor_answer(self, insert):
model_interface = self.session.model_interface
data_store = self.session.data_store
select_data_query = insert.get('select_data_query')
if isinstance(select_data_query, str) is False or len(select_data_query) == 0:
self.pac... | Start learn new predictor.
Parameters:
- insert - dict with keys as columns of mindsb.predictors table.
| 16 | 181 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def insert_predictor_answer(self, insert):
model_interface = self.session.model_interface
data_store = self.session.data_store
select_data_query = insert.ge... |
69 | def populate_historical_trade_data(self):
trade_data = self.__orderbook.pivot(
index="Date",
columns="Ticker",
values=[
"Type",
"Sector",
"Industry",
"Country",
"Price",
"... | Create a new dataframe to store historical prices by ticker | 10 | 78 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def populate_historical_trade_data(self):
trade_data = self.__orderbook.pivot(
index="Date",
columns="Ticker",
values=[
"... |
70 | def test_fetch_openml_equivalence_array_dataframe(monkeypatch, parser):
pytest.importorskip("pandas")
data_id = 61
_monkey_patch_webbased_functions(monkeypatch, data_id, gzip_response=True)
bunch_as_frame_true = fetch_openml(
data_id=data_id,
as_frame=True,
cache=False,
... | Check the equivalence of the dataset when using `as_frame=False` and
`as_frame=True`.
| 11 | 47 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def test_fetch_openml_equivalence_array_dataframe(monkeypatch, parser):
pytest.importorskip("pandas")
data_id = 61
_monkey_patch_webbased_functions(monkeypatch, data_id, gz... |
71 | def wire_type(self):
if hasattr(self, '_m_wire_type'):
return self._m_wire_type
self._m_wire_type = KaitaiStream.resolve_enum(GoogleProtobuf.Pair.WireTypes, (self.key.value & 7))
return getattr(self, '_m_wire_type', None)
| "Wire type" is a part of the "key" that carries enough
information to parse value from the wire, i.e. read correct
amount of bytes, but there's not enough informaton to
interprete in unambiguously. For example, one can't clearly
distinguish 64-bit fixed-sized integers fro... | 59 | 17 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def wire_type(self):
if hasattr(self, '_m_wire_type'):
return self._m_wire_type
self._m_wire_type = KaitaiStream.resolve_enum(GoogleProt... |
72 | def address(self): # pragma: no cover
warnings.warn(
"Client.address is deprecated, use Client.peername instead.",
DeprecationWarning,
stacklevel=2,
)
return self.peername
| *Deprecated:* An outdated alias for Client.peername. | 6 | 18 | Python |
###User : Below is a Python method which does a task. Create a documentation for the below code :
```Python
def address(self): # pragma: no cover
warnings.warn(
"Client.address is deprecated, use Client.peername instead.",
DeprecationWarning,
s... |
End of preview. Expand in Data Studio
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for Dataset Name
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Dataset Description
- Curated by: semeru/code-code-galeras-code-completion-from-docstring-3k-deduped
- Language(s) (NLP): Python
- License: [More Information Needed]
Dataset Sources [optional]
- Repository: semeru/code-code-galeras-code-completion-from-docstring-3k-deduped
Uses
(use however you like)
Dataset Structure
Code - Method Doc - Documentation for the method Lang - Language Prompt - Prompt field for training
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