content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def add_gaussian_noise(images: list, var: list, random_var: float=None, gauss_noise: list=None):
"""
Add gaussian noise to input images. If random_var and gauss_noise are given, use them to compute the final images.
Otherwise, compute random_var and gauss_noise.
:param images: list of images
:param ... | 30,000 |
def get_sso_backend():
"""
Return SingleSignOnBackend class instance.
"""
return get_backend_instance(cfg.CONF.auth.sso_backend) | 30,001 |
def conv_relu_pool_forward(x, w, b, conv_param, pool_param):
"""
Convenience layer that performs a convolution, a ReLU, and a pool.
Inputs:
- x: Input to the convolutional layer
- w, b, conv_param: Weights and parameters for the convolutional layer
- pool_param: Parameters for the pooling layer
Returns a tuple... | 30,002 |
def ConnectWithReader(readerName, mode):
""" ConnectWithReader """
hresult, hcontext = SCardEstablishContext(SCARD_SCOPE_USER)
if hresult != SCARD_S_SUCCESS:
raise EstablishContextException(hresult)
hresult, hcard, dwActiveProtocol = SCardConnect(hcontext, readerName,
mode, SCARD_PROTOC... | 30,003 |
def interpolate(points: type_alias.TensorLike,
weights: type_alias.TensorLike,
indices: type_alias.TensorLike,
normalize: bool = True,
allow_negative_weights: bool = False,
name: str = "weighted_interpolate") -> type_alias.TensorLike:
"""... | 30,004 |
def main(
argv,
install_path=INSTALL_PATH, service_class=WindowsService,
namespace='winservice.WindowsService'):
"""Method to handle direct server invocation."""
win32serviceutil.HandleCommandLine(
service_class,
'%s%s' % (install_path, namespace),
argv=argv) | 30,005 |
def calcADPs(atom):
"""Calculate anisotropic displacement parameters (ADPs) from
anisotropic temperature factors (ATFs).
*atom* must have ATF values set for ADP calculation. ADPs are returned
as a tuple, i.e. (eigenvalues, eigenvectors)."""
linalg = importLA()
if not isinstance(atom, ... | 30,006 |
def _create_groups(properties):
"""Create a tree of groups from a list of properties.
Returns:
Group: The root group of the tree. The name of the group is set to None.
"""
# We first convert properties into a dictionary structure. Each dictionary
# represents a group. The None key correspon... | 30,007 |
def activate_move_mode(layer):
"""Activate move tool."""
layer.mode = Mode.MOVE | 30,008 |
def bitset(array, bits):
"""
To determine if the given bits are set in an array.
Input Parameters
----------------
array : array
A numpy array to search.
bits : list or array
A list or numpy array of bits to search.
Note that the "first" bit is denoted as zero,
w... | 30,009 |
def test1():
""" Test FancyHelloWorld2
"""
pre = __name__ + "test1 :"
print(pre, "test1")
print(pre, "Let's test FancyHelloWorlds")
print(pre, "FancyHelloWorld")
try:
hw = FancyHelloWorld(address="Helsinki", age=40)
except AttributeError as e:
print(e)
else:
... | 30,010 |
def build_classifier_pipeline(
input_files,
output_files,
config,
use_fake_tables = False,
converter_impl = ConverterImplType.PYTHON,
):
"""Pipeline for converting finetuning examples."""
if len(output_files) != len(input_files):
raise ValueError(f'Size mismatch: {output_files} {input_files... | 30,011 |
def sample_gene_matrix(request, variant_annotation_version, samples, gene_list,
gene_count_type, highlight_gene_symbols=None):
""" highlight_gene_symbols - put these genes 1st """
# 19/07/18 - Plotly can't display a categorical color map. See: https://github.com/plotly/plotly.js/issues/17... | 30,012 |
def dcm2json(ctx, inpath, outpath):
"""Convert a DICOM file or directory of files at INPATH into
dictionaries and save result in json format at OUTPATH."""
click.echo(click.style('Covert DICOM to JSON', underline=True, bold=True))
def convert_file(infile: Path, outfile: Path):
dixel = DcmDir()... | 30,013 |
def validate_yaml_online(data, schema_uri=None):
"""
Validates the given data structure against an online
schema definition provided by schema_uri.
If schema_uri is not given, we try to get it from
the 'descriptor_schema' field in 'data'.
Returns: True/False
"""
if schema_uri is None:
... | 30,014 |
def normal218(startt,endt,money2,first,second,third,forth,fifth,sixth,seventh,zz1,zz2,bb1,bb2,bb3,aa1,aa2):
"""
for source and destination id generation
"""
"""
for type of banking work,label of fraud and type of fraud
"""
idvariz=random.choice(zz2)
idgirande=r... | 30,015 |
def get_fast_loaders(dataset, batch_size, test, device, data_path=None, train_transform=None, validation_transform=None,
train_percentage=0.85, workers=4):
"""Return :class:`FastLoader` for training and validation, outfitted with a random sampler.
If set to run on the test set, :param:`tra... | 30,016 |
def find_paths(root: TreeNode, required_sum: int) -> List[List[int]]:
"""
Time Complexity: O(N^2)
Space Complexity: O(N)
Parameters
----------
root : TreeNode
Input binary tree.
required_sum : int
Input number 'S'.
Returns
-------
all_paths : List[List[int]]
... | 30,017 |
def test_prepareHostConfig(settings, detectSystemDevices):
"""
Test paradrop.core.config.hostconfig.prepareHostConfig
"""
from paradrop.core.config.hostconfig import prepareHostConfig
devices = {
'wan': [{'name': 'eth0'}],
'lan': list(),
'wifi': list()
}
detectSystem... | 30,018 |
def macro_bank_switzerland_interest_rate():
"""
瑞士央行利率决议报告, 数据区间从20080313-至今
https://datacenter.jin10.com/reportType/dc_switzerland_interest_rate_decision
https://cdn.jin10.com/dc/reports/dc_switzerland_interest_rate_decision_all.js?v=1578582240
:return: 瑞士央行利率决议报告-今值(%)
:rtype: pandas.Series
... | 30,019 |
def create_dataframe(message):
"""Create Pandas DataFrame from CSV."""
dropdowns = []
df = pd.DataFrame()
if message != "":
df = pd.read_csv(message)
df = df.sample(n = 50, random_state = 2) # reducing Data Load Running on Heroku Free !!!!
if len(df) == 0:
return pd.D... | 30,020 |
def test_str_special():
"""Test type of __str__ method results."""
s = str(m)
assert_true(type(s) is str) | 30,021 |
async def async_setup_platform(
hass, config, async_add_entities, discovery_info=None):
"""Set up the HomematicIP Cloud weather sensor."""
pass | 30,022 |
def load_model(path):
"""
This function ...
:param path:
:return:
"""
# Get the first line of the file
with open(path, 'r') as f: first_line = f.readline()
# Create the appropriate model
if "SersicModel" in first_line: return SersicModel.from_file(path)
elif "ExponentialDiskMo... | 30,023 |
def add_metaclass(metaclass):
"""
Class decorator for creating a class with a metaclass.
Borrowed from `six` module.
"""
@functools.wraps(metaclass)
def wrapper(cls):
orig_vars = cls.__dict__.copy()
slots = orig_vars.get('__slots__')
if slots is not None:
if i... | 30,024 |
def setup_logging():
"""Configure the logger."""
log.propagate = False
log.setLevel(logging.INFO)
# Log to stdout
console_handler = logging.StreamHandler(sys.stdout)
console_handler.setLevel(logging.INFO)
formatter = logging.Formatter('[%(levelname)s] %(message)s')
console_handler.setFormatter(formatte... | 30,025 |
def iter_repl(seq, subseq, repl):
"""
Replace sub-list `subseq` in `seq` with `repl`.
"""
seq, subseq, repl = list(seq), list(subseq), list(repl)
subseq_len = len(subseq)
rem = seq[:]
while rem:
if rem[:subseq_len] == subseq:
for c in repl:
yield c
... | 30,026 |
def test_checkpoint_horovod(tmpdir, ray_start_4_cpus):
"""Tests if Tune checkpointing works with HorovodRayAccelerator."""
accelerator = HorovodRayAccelerator(
num_hosts=1, num_slots=2, use_gpu=False)
checkpoint_test(tmpdir, accelerator) | 30,027 |
def max_pool_nd_inverse(layer, relevance_in : torch.Tensor, indices : torch.Tensor = None,
max : bool = False) -> torch.Tensor :
"""
Inversion of LogSoftmax layer
Arguments
---------
relevance : torch.Tensor
Input relavance
indices : torch.Tensor
Max... | 30,028 |
def write_done():
"""
Tells the user that we're done with the previous action.
Does not print to the logger
"""
if not LOG_ONLY:
global _LEVEL, _LAST_CLOSED
_LEVEL -= 1
# If there has been actions in between, write tabs
if _LAST_CLOSED > _LEVEL:
for _inde... | 30,029 |
def aroon_up(close, n=25, fillna=False):
"""Aroon Indicator (AI)
Identify when trends are likely to change direction (uptrend).
Aroon Up - ((N - Days Since N-day High) / N) x 100
https://www.investopedia.com/terms/a/aroon.asp
Args:
close(pandas.Series): dataset 'Close' column.
n(... | 30,030 |
def exists():
"""real_abs.c exists"""
check50.exists("real_abs.c") | 30,031 |
def hash_file(filename):
"""
computes hash value of file contents, to simplify pytest assert statements for
complex test cases that output files. For cross-platform compatibility, make sure
files are read/written in binary, and use unix-style line endings, otherwise hashes
will not match despite co... | 30,032 |
def spatial_batchnorm_forward(x, gamma, beta, bn_param):
"""
Computes the forward pass for spatial batch normalization.
Inputs:
- x: Input data of shape (N, C, H, W)
- gamma: Scale parameter, of shape (C,)
- beta: Shift parameter, of shape (C,)
- bn_param: Dictionary with the following keys... | 30,033 |
def load_sheet_2(workbook, db_name, collection_name, mongo=False, startrow=32, startcol='M', lastcol='Y'):
"""
"""
columns = ['parameter', 'cas', 'contaminant', 'cancer_risk_residential', 'cancer_risk_ci', 'cancer_risk_workers', 'hard_quotient', 'metal', 'volatile', 'persistent', 'modeled_koc', 'code', 'notes']
df... | 30,034 |
def triangulate(points):
""" triangulate the plane for operation and visualization
"""
num_points = len(points)
indices = np.arange(num_points, dtype=np.int)
segments = np.vstack((indices, np.roll(indices, -1))).T
tri = pymesh.triangle()
tri.points = np.array(points)
tri.segments = seg... | 30,035 |
def immutable():
""" Get group 1. """
allowed_values = {'NumberOfPenguins', 'NumberOfSharks'}
return ImmutableDict(allowed_values) | 30,036 |
def traceroute_udp(addr, hops, q, timeout, ttl, wait, port): # {{{1
"""trace route to dest using UDP"""
sock = S.socket(S.AF_INET, S.SOCK_RAW, S.IPPROTO_UDP)
try:
for x in traceroute(send_probe_udp, recv_probe_udp, [sock], addr,
hops, q, timeout, ttl, wait, port):
yield x
f... | 30,037 |
def parse(meta, recipe, args):
""" Parses metadata, creates headers, content, and footer, and yields
these to be written into a file consecutively """
clsmodule = cls_module(args.cls)
## HEADER
yield COMMENT.format(
now = datetime.now().strftime("%d-%m-%Y %H:%M:%S"),
ti... | 30,038 |
def test_plot_colors_sizes_proj(data, region):
"""
Plot the data using z as sizes and colors with a projection.
"""
fig = Figure()
fig.coast(region=region, projection="M15c", frame="af", water="skyblue")
fig.plot(
x=data[:, 0],
y=data[:, 1],
color=data[:, 2],
size... | 30,039 |
def test_get_buffer_mode():
"""
ensures that strings passed to get_buffer_mode are properly handled
"""
# None cases
assert ConfigdocsHelper.get_buffer_mode('') == BufferMode.REJECTONCONTENTS
assert ConfigdocsHelper.get_buffer_mode(
None) == BufferMode.REJECTONCONTENTS
# valid cases... | 30,040 |
def predict_to_score(predicts, num_class):
"""
Checked: the last is for 0
===
Example: score=1.2, num_class=3 (for 0-2)
(0.8, 0.2, 0.0) * (1, 2, 0)
:param predicts:
:param num_class:
:return:
"""
scores = 0.
i = 0
while i < num_class:
scores += i * ... | 30,041 |
def quasi_diagonalize(link):
"""sort clustered assets by distance"""
link = link.astype(int)
sort_idx = pd.Series([link[-1, 0], link[-1, 1]])
num_items = link[-1, 3] # idx of original items
while sort_idx.max() >= num_items:
sort_idx.index = list(range(0, sort_idx.shape[0] * 2, 2)) # make ... | 30,042 |
def dataset_files(rootdir, pattern):
"""Returns a list of all image files in the given directory"""
matches = []
for root, dirnames, filenames in os.walk(rootdir):
for filename in fnmatch.filter(filenames, pattern):
matches.append(os.path.join(root, filename))
return matches | 30,043 |
def keyword(variable):
"""
Verify that the field_name isn't part of know Python keywords
:param variable: String
:return: Boolean
"""
for backend in ADAPTERS:
if variable.upper() in ADAPTERS[backend]:
msg = (
f'Variable "{variable}" is a "{backend.upper()}" '
... | 30,044 |
def cli():
"""Historical commandline for managing historical functions."""
pass | 30,045 |
def gcp_api_main(request):
"""Responds to any HTTP request.
Args:
request (flask.Request): HTTP request object.
Returns:
The response text or any set of values that can be turned into a
Response object using
`make_response <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.mak... | 30,046 |
def box_area_3d(boxes: Tensor) -> Tensor:
"""
Computes the area of a set of bounding boxes, which are specified by its
(x1, y1, x2, y2, z1, z2) coordinates.
Arguments:
boxes (Union[Tensor, ndarray]): boxes for which the area will be computed. They
are expected to be in (x1, y1, ... | 30,047 |
def set_device_parameters(request):
"""Set up the class."""
def fin():
request.cls.device.close()
request.addfinalizer(fin)
request.cls.driver = ftos.FTOSDriver
request.cls.patched_driver = PatchedFTOSDriver
request.cls.vendor = 'ftos'
parent_conftest.set_device_parameters(request) | 30,048 |
def mock_engine(dialect_name=None):
"""Provides a mocking engine based on the current testing.db.
This is normally used to test DDL generation flow as emitted
by an Engine.
It should not be used in other cases, as assert_compile() and
assert_sql_execution() are much better choices with fewer
m... | 30,049 |
def get_feedback_thread_reply_info_by_reply_to_id(reply_to_id):
"""Gets the domain object corresponding to the model which is fetched by
reply-to-id field.
Args:
reply_to_id: str. The reply_to_id to search for.
Returns:
FeedbackThreadReplyInfo or None. The corresponding domain object.
... | 30,050 |
def _cross_correlations(n_states):
"""Returns list of crosscorrelations
Args:
n_states: number of local states
Returns:
list of tuples for crosscorrelations
>>> l = _cross_correlations(np.arange(3))
>>> assert l == [(0, 1), (0, 2), (1, 2)]
"""
l = n_states
cross_corr =... | 30,051 |
def select_interface(worker):
"""
It gets a worker interface channel to do something.
"""
interfaces = worker.interfaces_list()
if len(interfaces) == 0:
print ' Error. Worker without interface known.'
return -1
elif len(interfaces) == 1:
return 1
option = raw_input('... | 30,052 |
def save_trained_model(
model_name: str, theModel: keras.models.Sequential, trainHistory: cbacks.History
) -> None:
"""Saves a tensorflow model and training history to local file storage"""
with open(
f"{CONFIG['Modelling']['ModelDir']}/{model_name}/trainHistoryDict.p", "wb"
) as fp:
pic... | 30,053 |
def get_middle(arr):
"""
Get middle point ????
"""
n_val = np.array(arr.shape) / 2.0
n_int = n_val.astype(np.int0)
# print(n_int)
if n_val[0] % 2 == 1 and n_val[1] % 2 == 1:
return arr[n_int[0], n_int[1]]
if n_val[0] % 2 == 0 and n_val[1] % 2 == 0:
return np.average(arr[... | 30,054 |
def annotate_segmentation(image, segmentation):
"""Return annotated segmentation."""
annotation = AnnotatedImage.from_grayscale(image)
for i in segmentation.identifiers:
region = segmentation.region_by_identifier(i)
color = pretty_color()
annotation.mask_region(region.border.dilate()... | 30,055 |
def get_champ_data(champ: str, tier: int, rank: int):
"""
Gives Champ Information by their champname, tier, and rank.
"""
champ_info = NewChampsDB()
try:
champ_info.get_data(champ, tier, rank)
champs_dict = {
"name": f"{champ_info.name}",
"released": champ_i... | 30,056 |
def create_jobs(source, valid_affinities, externally_blocked=False):
"""
Create jobs for Source `source`, using the an architecture matching
`valid_affinities` for any arch "all" jobs.
"""
aall = None
for arch in source.group_suite.arches:
if arch.name == "all":
aall = arch
... | 30,057 |
def handler(event, context):
"""
Handler method for insert resource function.
"""
if event is None:
return response(http.HTTPStatus.BAD_REQUEST, Constants.error_insufficient_parameters())
if event is None or Constants.event_body() not in event or Constants.event_http_method() not in event:
... | 30,058 |
def _topic_scores(run_scores):
"""
Helping function returning a generator for determining the topic scores for each measure.
@param run_scores: The run scores of the previously evaluated run.
@return: Generator with topic scores for each trec_eval evaluation measure.
"""
measures_all = list(lis... | 30,059 |
def doctest_ObjectWriter_get_state_sub_doc_object_with_no_pobj():
"""ObjectWriter: get_state(): Called with a sub-document object and no pobj
While this should not really happen, we want to make sure we are properly
protected against it. Usually, the writer sets the jar of the parent
object equal to it... | 30,060 |
def serving_input_receiver_fn():
"""This is used to define inputs to serve the model.
Returns:
A ServingInputReciever object.
"""
csv_row = tf.placeholder(shape=[None], dtype=tf.string)
features, _ = _make_input_parser(with_target=False)(csv_row)
return tf.estimator.export.ServingInputReceiver(features... | 30,061 |
def offsetTimer():
"""
'Starts' a timer when called, returns a timer function that returns the
time in seconds elapsed since the timer was started
"""
start_time = time.monotonic()
def time_func():
return time.monotonic() - start_time
return time_func | 30,062 |
def _get_sender(pusher_email):
"""Returns "From" address based on env config and default from."""
use_author = 'GITHUB_COMMIT_EMAILER_SEND_FROM_AUTHOR' in os.environ
if use_author:
sender = pusher_email
else:
sender = os.environ.get('GITHUB_COMMIT_EMAILER_SENDER')
return sender | 30,063 |
def test_report_a_tag_anlger_report_create_report_link_not_authenticated(
client, db_setup
):
"""If an unauthorized user accessess the view the angler reports through the report-a-tag url, they
should NOT see the link to create reports
"""
angler = JoePublic.objects.get(first_name="Homer")
res... | 30,064 |
def main():
"""Main execution when called as a script."""
warnings.filterwarnings('ignore')
profile = 'asc'
pseudo_family_id = 'SSSP/1.1/PBE/efficiency'
load_profile(profile)
controller = PwBaseSubmissionController(
pw_code_id='pw-6.7MaX_conda',
structure_group_id='structures/... | 30,065 |
def find_resolution(func: Callable = None) -> Callable:
"""Decorator that gives the decorated function the image resolution."""
@functools.wraps(func)
def wrapper(self: MultiTraceChart, *args, **kwargs):
if 'width' not in kwargs:
kwargs['width'] = self.resolution[0]
if 'height' ... | 30,066 |
def transform_spikes_to_isi(self, spikes, time_epoch, last_event_is_spike=False):
"""Convert spike times to data array, which is a suitable format for optimization.
Parameters
----------
spikes : numpy array (num_neuron,N), dtype=np.ndarray
A sequence of spike times for each neuron on each tri... | 30,067 |
def api_github_v2(user_profile, event, payload, branches, default_stream, commit_stream, issue_stream, topic_focus = None):
"""
processes github payload with version 2 field specification
`payload` comes in unmodified from github
`default_stream` is set to what `stream` is in v1 above
`commit_stream... | 30,068 |
def concatenate(
iterable: Iterable[Results],
callback: Optional[Callable] = None,
modes: Iterable[str] = ("val", "test"),
reduction: str = "none",
) -> Results:
"""Returns a concatenated Results.
Args:
iterable (iterable of Results): Iterable of `Results` instance.
callback (ca... | 30,069 |
def parse_version(s: str) -> tuple[int, ...]:
"""poor man's version comparison"""
return tuple(int(p) for p in s.split('.')) | 30,070 |
def test_match_dict_index():
"""aski dict for first item"""
kid1=JsonNode('dict',start=1,end=2,name='e')
node = JsonNode('dict', start=0, end=2, kids=[ kid1 ])
pattern = '{0}'
ret=list(matcher.match(node, pattern))
assert ret == [kid1] | 30,071 |
def replay_train(DQN, train_batch):
"""
여기서 train_batch는 minibatch에서 가져온 data들입니다.
x_stack은 state들을 쌓는 용도로이고,
y_stack은 deterministic Q-learning 값을 쌓기 위한 용도입니다.
우선 쌓기전에 비어있는 배열로 만들어놓기로 하죠.
"""
x_stack = np.empty(0).reshape(0, DQN.input_size) # array(10, 4)
y_stack = np.empty(0).reshape(0, DQN.output_size) # arr... | 30,072 |
def make_reverse_macro_edge_name(macro_edge_name):
"""Autogenerate a reverse macro edge name for the given macro edge name."""
if macro_edge_name.startswith(INBOUND_EDGE_FIELD_PREFIX):
raw_edge_name = macro_edge_name[len(INBOUND_EDGE_FIELD_PREFIX) :]
prefix = OUTBOUND_EDGE_FIELD_PREFIX
elif ... | 30,073 |
def unescaped_split(pattern,
string,
max_split=0,
remove_empty_matches=False,
use_regex=False):
"""
Splits the given string by the specified pattern. The return character (\\n)
is not a natural split pattern (if you don't specif... | 30,074 |
def download_coco(args, overwrite=False):
"""download COCO dataset and Unzip to download_dir"""
_DOWNLOAD_URLS = [
('http://images.cocodataset.org/zips/train2017.zip',
'10ad623668ab00c62c096f0ed636d6aff41faca5'),
('http://images.cocodataset.org/annotations/annotations_trainval2017.zip',... | 30,075 |
def citation_distance_matrix(graph):
"""
:param graph: networkx graph
:returns: distance matrix, node labels
"""
sinks = [key for key, outdegree in graph.out_degree() if outdegree==0]
paths = {s: nx.shortest_path_length(graph, target=s) for s in sinks}
paths_df = pd.DataFrame(paths)#, index... | 30,076 |
def read_into_dataframe(file: IO, filename: str = "", nrows: int = 100,max_characters: int = 50) -> pd.DataFrame:
"""Reads a file into a DataFrame.
Infers the file encoding and whether a header column exists
Args:
file (IO): file buffer.
filename (str): filename. Used to infer compression.
... | 30,077 |
def load_generator(config: dict):
"""
Create the generator and load its weights using the function `load_weights`.
Args:
config (dict): Dictionary with the configurations.
Returns:
BigGAN.Generator: The generator.
"""
# GPU
device = "cuda"
torch.backends.cudnn.benchmark... | 30,078 |
def Navigatev0_action_to_tensor(act: OrderedDict, task=1):
"""
Creates the following (batch_size, seq_len, 11) action tensor from Navigatev0 actions:
0. cam left
1. cam right
2. cam up
3. cam down
4. place + jump
5. place
6. forward + attack
7. attack
8. fo... | 30,079 |
def asfarray(a, dtype=mstype.float32):
"""
Similar to asarray, converts the input to a float tensor.
If non-float dtype is defined, this function will return a float32 tensor instead.
Args:
a (Union[int, float, bool, list, tuple, numpy.ndarray]): Input data, in
any form that can be... | 30,080 |
def test_fail_when_no_template(
testdata_dir: pathlib.Path, tmp_trestle_dir: pathlib.Path, monkeypatch: MonkeyPatch
) -> None:
"""Test that validation fails when template does not exists."""
task_template_folder = tmp_trestle_dir / '.trestle/author/test_task/'
source_instance = testdata_dir / 'author/0.... | 30,081 |
def _verify_option(value: Optional[str], value_proc: Callable) -> Optional[str]:
"""Verifies that input value via click.option matches the expected value.
This sets ``value`` to ``None`` if it is invalid so the rest of the prompt
can flow smoothly.
Args:
value (Optional[str]): Input value.
... | 30,082 |
def test_external_server():
""" Test starting up an external server and accessing with a client with start_server=False """
corenlp_home = os.getenv('CORENLP_HOME')
start_cmd = f'java -Xmx5g -cp "{corenlp_home}/*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -port 9001 ' \
f'-timeout 6000... | 30,083 |
def batch_jacobian(output, inp, use_pfor=True, parallel_iterations=None):
"""Computes and stacks jacobians of `output[i,...]` w.r.t. `input[i,...]`.
e.g.
x = tf.constant([[1, 2], [3, 4]], dtype=tf.float32)
y = x * x
jacobian = batch_jacobian(y, x)
# => [[[2, 0], [0, 4]], [[6, 0], [0, 8]]]
... | 30,084 |
def test_phono3py_ltc_lbte(
fixture_sandbox,
fixture_code,
generate_calc_job,
generate_inputs,
generate_settings,
generate_fc3_filedata,
generate_fc2_filedata,
):
"""Test a phonopy calculation."""
entry_point_calc_job = "phonoxpy.phono3py"
inputs = generate_inputs(
metad... | 30,085 |
def declare(baseFamily=None, baseDefault=0, derivedFamily=None, derivedDefault=""):
"""
Declare a pair of components
"""
# the declaration
class base(pyre.component, family=baseFamily):
"""a component"""
b = pyre.properties.int(default=baseDefault)
class derived(base, family=der... | 30,086 |
def parse_iso8601(dtstring: str) -> datetime:
"""naive parser for ISO8061 datetime strings,
Parameters
----------
dtstring
the datetime as string in one of two formats:
* ``2017-11-20T07:16:29+0000``
* ``2017-11-20T07:16:29Z``
"""
return datetime.strptime(
dtst... | 30,087 |
def CalcCurvature(vertices,faces):
"""
CalcCurvature recives a list of vertices and faces
and the normal at each vertex and calculates the second fundamental
matrix and the curvature by least squares, by inverting the 3x3 Normal matrix
INPUT:
vertices -nX3 array of vertices
faces ... | 30,088 |
def query_abstracts(
q: Optional[str] = None,
n_results: Optional[int] = None,
index: str = "agenda-2020-1",
fields: list = ["title^2", "abstract", "fullname", "institution"],
):
"""
Query abstracts from a given Elastic index
q: str, query
n_results: int, number of results from
inde... | 30,089 |
def PretrainedEmbeddingIndicesDictionary() -> typing.Dict[str, int]:
"""Read and return the embeddings indices dictionary."""
with open(INST2VEC_DICITONARY_PATH, "rb") as f:
return pickle.load(f) | 30,090 |
def color_negative_red(val):
"""
Takes a scalar and returns a string with
the css property `'color: red'` for negative
strings, black otherwise.
"""
color = 'red' if val < 0 else 'black'
return 'color: %s' % color | 30,091 |
async def test_form_cannot_connect(hass: HomeAssistant) -> None:
"""Test we handle cannot connect error."""
result = await hass.config_entries.flow.async_init(
DOMAIN, context={"source": config_entries.SOURCE_USER}
)
with patch(
"homeassistant.components.surepetcare.config_flow.surepy.c... | 30,092 |
def globpattern(dir, pattern):
"""
Return leaf names in the specified directory which match the pattern.
"""
if not hasglob(pattern):
if pattern == '':
if os.path.isdir(dir):
return ['']
return []
if os.path.exists(util.normaljoin(dir, pattern)):... | 30,093 |
def test_basic_if_statement():
"""TEST 3.2: If statements are the basic control structures.
The `if` should first evaluate its first argument. If this evaluates to
true, then the second argument is evaluated and returned. Otherwise the
third and last argument is evaluated and returned instead.
"""
... | 30,094 |
def get_student_discipline(person_id: str = None):
"""
Returns student discipline information for a particular person.
:param person_id: The numeric ID of the person you're interested in.
:returns: String containing xml or an lxml element.
"""
return get_anonymous('getStudentDiscipline', perso... | 30,095 |
def main():
"""evaluate gpt-model fine-tune on qa dataset"""
parser = argparse.ArgumentParser()
parser.add_argument(
'--model_name',
type=str,
default='gpt2',
help='pretrained model name')
parser.add_argument("--using_cache", type=bool, default=False)
parser.add_argum... | 30,096 |
def dot(p1, p2):
"""
Dot product
:param p1:
:param p2:
:return:
"""
return p1[X] * p2[X] + p1[Y] * p2[Y] | 30,097 |
def logout():
"""View function which handles a logout request."""
tf_clean_session()
if current_user.is_authenticated:
logout_user()
# No body is required - so if a POST and json - return OK
if request.method == "POST" and _security._want_json(request):
return _security._render_jso... | 30,098 |
def _lookup_configuration():
"""Lookup the configuration file.
:return: opened configuration file
:rtype: stream
"""
for pth in CONFIG_PATH:
path = os.path.abspath(os.path.expanduser(pth))
LOGGER.debug('Checking for %s', path)
if os.path.exists(path):
LOGGER.info... | 30,099 |
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