content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def dir_size(path):
"""
Get the size of the directory represented by path recursively.
:param path: Path to the dir whose size needs to be calculated
:return: size in bytes of the dir
"""
# Closure for recursiveness
def get_dir_size(path):
size = 0
for entry in os.scandir(pat... | 73,000 |
async def _get_username_password(registry_name: str) -> UsernamePassword:
"""
Gets the UsernamePassword for logging into the meadowrun-managed Azure container
registry. Can be passed to functions in docker_controller.py
"""
# https://github.com/Azure/azure-cli/blob/284d6131679cecc26f928c78f1e4c29e2... | 73,001 |
def rep(data):
"""Checks if all labels are represented
in the dataset `data`."""
labels = [0, 1]
# Iteratively check if all labels are represented
for i in range(len(data) - 1):
row = data[i]
label = row["label"]
contains = label in labels
if contains and labels:
... | 73,002 |
def main(global_config, **settings):
""" This function returns a Pyramid WSGI application.
"""
# support logging in python3
logging.config.fileConfig(
settings['logging.config'],
disable_existing_loggers=False
)
config = Configurator(settings=settings)
config.set_root_facto... | 73,003 |
def test_observation_node__constructor(parent):
"""Tests initiation of observation nodes"""
n = ObservationNode(parent)
assert parent == n.parent
other_node = ActionNode("garbage statistic", ObservationNode())
assert other_node != n.parent | 73,004 |
def run_program(program, args=None, **subprocess_kwargs):
"""
Run program in a separate process.
NOTE: returns the process object created by
`subprocess.Popen()`. This can be used with
`proc.communicate()` for example.
If 'shell' appears in the kwargs, it must be False,
otherwise ... | 73,005 |
def quota_size(value):
"""
Covnert a human readable quota size into a number of bytes.
"""
_UNITS_RE = re.compile('^\s*(?P<value>\d+(\.(\d*)?)?)\s*(?P<scale>[kMGTP]i?)?B?$')
_UNITS_SCALES = {None: 1,
'k' : 1000, 'ki': 1024,
'M' : 1000**2, 'Mi': 1024*... | 73,006 |
def register_project():
"""Register a project at Conductor service if not done already.
The function checks all projects in the users config file and if
a project does not have an id already it will try register it
at the specified Conductor Service.
"""
registration_id = request.json["id"]
... | 73,007 |
def snow_and_ndsi_locations(src_info, no_data_value):
"""Generate Landsat snow locations and NDSI nodata locations
Args:
src_info <SourceInfo>: Information about the source data
no_data_value <int>: No data (fill) value to use
Returns:
list(<int>): Locations where we decided snow e... | 73,008 |
def compute_cov(tensor, tensor_right=None, normalizer=None):
"""Compute the empirical second moment of the rows of a 2D Tensor.
This function is meant to be applied to random matrices for which the true row
mean is zero, so that the true second moment equals the true covariance.
Args:
tensor: A 2D Tensor.... | 73,009 |
def gen_blockMeshDict(x_cord, y_cord):
"""
Create a `blockMeshDict` file for the geometry
"""
scale = 1
z = 0.05
x_orig = 0
y_orig = 0
x_max = 3
y_max = 1
x_cord = x_cord
y_cord = y_cord
x_cell = int(x_cord * 50)
y_cell = int(y_cord * 50)
# Open file
f = op... | 73,010 |
def parametrize_filebased(abspath: Optional[str], filename: str, relpath: Optional[str]) -> Any:
"""
Converts a target json file as a source of parameters for pytest.
:param abspath: Absolute path of the json file
:param filename: Name of the json file
:param relpath: Relative path to the json file
... | 73,011 |
def hexbin_viz(
df: pd.DataFrame,
x: str,
y: str,
plot_width: int,
plot_height: int,
tile_size: Optional[float] = None,
) -> Panel:
"""
Render a hexbin plot
"""
# pylint: disable=too-many-arguments,too-many-locals
xmin, xmax = df[x].min(), df[x].max()
ymin, ymax = df[y].m... | 73,012 |
def _func_if(args, is_differentscenario, line, pos):
"""args[0]がTrueであればargs[1]を、そうでなければargs[2]を返す。"""
_chk_argscount(args, 3, "IF", line, pos)
a = args[0]
_chk_boolean(a, "IF", 0)
t = args[1]
f = args[2]
return t if a.value else f | 73,013 |
def profiler(output_file=None, sort_by='cumulative', lines_to_print=None, strip_dirs=False):
"""
A time profiler decorator
:param str output_file: Path of the output file. If only name of the file is given,
it's saved in the current directory. If it's None, the name
... | 73,014 |
def find_overlapping_annotations(m, annotations):
"""Takes a markup object and a df of annotations from the same report"""
def overlaps(m_span, a_span):
m_span = [int(n) for n in m_span]
a_span = [int(n) for n in a_span]
#print(m_span, a_span)
overlap = ((a_span[0] <= m_span[0] <... | 73,015 |
def _merge_prefix(deque, size):
"""Replace the first entries in a deque of strings with a single
string of up to size bytes.
>>> d = collections.deque(['abc', 'de', 'fghi', 'j'])
>>> _merge_prefix(d, 5); print(d)
deque(['abcde', 'fghi', 'j'])
Strings will be split as necessary to reach the des... | 73,016 |
def _is_prime_bruteforce(prime):
"""Check if a number is prime using brute force and some caching.
Our brute force method is a little smarter than the standard method,
as we rule some factors out due to the following principles:
1) We already have a list of cached primes. If our supposed prime is
c... | 73,017 |
def encode(data: Union[bytes, dict, int, list]) -> bytes:
"""Convert the given Python object to a bencoded string.
Raises:
ValueError: If the provided object type is not supported
Returns:
A bencoded string
"""
if isinstance(data, bytes):
return _encode_bytes(data)
if ... | 73,018 |
def match_grasp_view_and_label(end_points):
""" Slice grasp labels according to predicted views. """
top_view_inds = end_points['grasp_top_view_inds'] # (B, Ns)
template_views_rot = end_points['batch_grasp_view_rot'] # (B, Ns, V, 3, 3)
grasp_labels = end_points['batch_grasp_label'] # (B, Ns, V, A, D)
... | 73,019 |
def test_projwfc_no_retrieved_temporary(generate_calc_job_node, fixture_localhost, generate_parser):
"""Test ``ProjwfcParser`` fails when the retrieved temporary folder is missing."""
node = generate_calc_job_node(
entry_point_name='quantumespresso.projwfc',
computer=fixture_localhost,
t... | 73,020 |
def execute_blueprint(cli, blueprint, repo_info, logger=None):
"""
Execute a blueprint
"""
if logger is None:
logger = j.logger.logging
errors = []
logger.info('Executing blueprint [{}]'.format(blueprint))
try:
res, ok = check_status_code(cli.executeBlueprint(data={}, bluep... | 73,021 |
def test_cli_09_launch_bottleneck_2trucks2links(
runner, bottleneck_2trucks2links
):
"""Run: ensemble launch -s path/bottleneck_1truck.xml"""
result = runner.invoke(cli.main, ["launch", "-s", bottleneck_2trucks2links])
f"Input File: {bottleneck_1truck} Found\n" in result.output | 73,022 |
def convert_meshio(
mesh,
ignore_unknown=False,
import_dim=(1, 2, 3),
element_id_name="element_id",
material_id_name="material_id",
):
"""
Convert points and cells from meshio to ogs format.
Parameters
----------
mesh : meshio mesh class
The given mesh by meshio
igno... | 73,023 |
def send_email(json_data, to):
"""Prepares a mail Message to be sent as a background task with Flask-Mail
:param to: list[str] the list of recipients
:param dict json_data: The dictionary that has info for the mail
"""
if not isinstance(to, list):
to = [to]
msg = Message(subject=MAIL_SU... | 73,024 |
def get_data(path_imgs,path_masks,axis=0,
batch=50,buffer_size=300,
size_crop=160,random_crop=False,
augmentation=False,repeat=1,
pixels=0,cache=True,
):
""" Returns dataset already preprocessed
"""
data = tf.data.Dataset.from_generator(gener... | 73,025 |
def torch_item(x):
"""
Like ``x.item()`` for a :class:`~torch.Tensor`, but also works with numbers.
"""
return x if isinstance(x, numbers.Number) else x.item() | 73,026 |
def small_world_random(G):
""" Compute the average clustering coefficient and average shortest path
length of a random network with the same number of nodes and edges as G
Parameters
----------
G: Network X undirected graph
Returns
-------
C: float
the random network cluste... | 73,027 |
def count(grid, c):
"""
Count the occurrences
of an object "c" in
the 2D list "grid".
"""
acc = 0
for row in grid:
for elem in row:
acc += c == elem
return acc | 73,028 |
def fatorial(a, show = False):
"""
-> Lê o fatorial
a = Número que irá ver o fator
show = Mostrar o calculo ou não
"""
f = 1
for c in range(a, 0, -1):
f *= c
if show == True:
print(f'{c}', end=' ')
if c > 1:
print('x', end=' ')... | 73,029 |
def test_ll_error():
"""Tests that the log-likelihood function correctly raises an error when an
incorrect string is passed as a parameter."""
y_true = np.array([1., 2., 3.])
y_pred = np.array([3., 4., 5.])
assert_raises(ValueError,
log_likelihood_glm,
'error',
... | 73,030 |
def setup(fips_dir, proj_dir) :
"""setup the Android SDK and NDK"""
log.colored(log.YELLOW, '=== setup Android SDK/NDK :')
# first make sure that java is present, otherwise the Android
# SDK setup will finish without errors, but is not actually usable
if not java.check_exists(fips_dir) :
lo... | 73,031 |
def strictly_upper_triangle(m):
"""
Returns a matrix containing the strictly upper triangle of m and zeros elsewhere.
"""
l = _np.shape(m)[0]
out = m.copy()
for i in range(0, l):
for j in range(0, i + 1):
out[i, j] = 0
return out | 73,032 |
def config_retry_strategy(retry):
"""Generate retry strategy."""
if not isinstance(retry, int):
raise ValueError("Parameter retry should be a number")
return {"limit": retry, "retryPolicy": "Always"} | 73,033 |
def isomap_transform(data_scaled, labels) :
"""Compute the Isomap transform from a scaled data.
Parameters
----------
data_scaled : numpy.ndarray
A matrix with the scaled data to transform
labels : numpy.ndarray
Labels to assign to the transformed data (0 for real and 1 for sy... | 73,034 |
def call_solver(matvec, matvec_args, hI, params, x0, tol):
"""
Code used by both solve_for_RH and solve_for_LH to call the
sparse solver. Solves matvec(*matvec_args, x) = hI for x.
PARAMETERS
----------
matvec (jax.tree_util.Partial): A function implementing the linear
... | 73,035 |
def vertex_score(timeseries):
"""
A timeseries is anomalous if vertex score in hypergraph is greater than average score of observed anomalous vertex.
:return: True or False
"""
if vertex_centers.shape[0] <= 1:
update_vertex_param()
timeseries = np.array(timeseries)
test_data = timese... | 73,036 |
def setenv(variable: str, value: str) -> None:
"""
set system Environment Variable
example: envset('TESTVARIABLE', 'TESTVALUE')
"""
if variable and type(variable) == str and type(value) == str:
os.system(f'setx \"{variable}\" \"{value}\" > nul')
os.environ[variable]=value
else:
... | 73,037 |
def emergency_contact_list(request):
""" Renders emergency contact info page """
brothers = Brother.objects.exclude(brother_status='2').order_by("last_name")
context = {
'brothers': brothers,
}
return render(request, 'emergency-contact-list.html', context) | 73,038 |
async def test_encoding_subscribable_topics(
hass,
mqtt_mock_entry_with_yaml_config,
caplog,
topic,
value,
attribute,
attribute_value,
):
"""Test handling of incoming encoded payload."""
await help_test_encoding_subscribable_topics(
hass,
mqtt_mock_entry_with_yaml_con... | 73,039 |
def deprecation_warning(msg):
"""Raise a deprecation warning."""
warnings.warn(msg, category=DeprecationWarning, stacklevel=2) | 73,040 |
def get_backup_path(p: Path) -> Optional[Path]:
"""Gets the backup path for a given path.
If the path we come up with already exists (highly unlikely), returns
``None``.
"""
basename = p.name
# e.g. "2020-10-17T18_21_41"
# Colons aren't allowed in Windows paths, so we can't quite use ISO 86... | 73,041 |
def usage():
"""
Usage:
python3 -h | -help
python3 ConfigInstance.py -U user
[-T config_type]
[-P cluster_static_config]
[-C "PARAMETER=VALUE" [...]]
[-D "PARAMETER=VALUE" [...]]
[-L log]
target file: pg_config, gs_config, all
"""
print(usage.__doc__) | 73,042 |
def create_user_records_bp(app):
"""Create user records blueprint."""
ext = app.extensions["invenio-rdm-records"]
return ext.user_records_resource.as_blueprint(
"bibliographic_user_records_resource"
) | 73,043 |
def make_create_dataframe(
col_names: Any,
K: RuntimeTypeDescriptor = None
) -> Transformation:
"""Make a Transformation that constructs a dataframe from a Vec<Vec<String>>.
:param col_names: Column names for each record entry.
:type col_names: Any
:param K: categorical/hashable data type o... | 73,044 |
def chop(surface, rect):
""" chop(Surface, rect) -> Surface
gets a copy of an image with an interior area removed
"""
raise NotImplementedError | 73,045 |
def init_tensorboard_logger() -> pl.loggers.TensorBoardLogger:
"""TODO"""
return None | 73,046 |
def conda_prefix(user=None):
"""
Get the conda prefix for a particular user (~/anaconda)
If user is None it defaults to /opt/anaconda
"""
if user == 'root':
return __salt__['grains.get']('conda:prefix', default='/opt/anaconda')
else:
if user is None:
user = __salt__['... | 73,047 |
def filter_entropy(np_img, neighborhood=9, threshold=5, output_type="uint8"):
"""
Filter image based on entropy (complexity).
Args:
np_img: Image as a NumPy array.
neighborhood: Neighborhood size (defines height and width of 2D array of 1's).
threshold: Threshold value.
output_type:... | 73,048 |
def ProxyInfoFromEnvironmentVar(proxy_env_var):
"""Reads proxy info from the environment and converts to httplib2.ProxyInfo.
Args:
proxy_env_var: Environment variable string to read, such as http_proxy or
https_proxy.
Returns:
httplib2.ProxyInfo constructed from the environment string.
"""
pr... | 73,049 |
def getTechniqueData(technique=None):
"""
Returns injection data for technique specified
"""
return kb.injection.data.get(technique) | 73,050 |
def _deserialize_video(json_text):
""" Parses JSON and deserializes it into a list of YouTubeResult objects. """
results = []
parsed_json = json.loads(json_text)
items = parsed_json["items"]
for item in items:
result = YouTubeResult()
snippet = item["snippet"]
content... | 73,051 |
def virtualip_list(ctx, filter, **ids):
"""List all virtual IP associated to a vport, a redirection target"""
"""or a subnet"""
id_type, id = check_id(**ids)
request = "%ss/%s/virtualips" % (id_type, id)
result = ctx.obj['nc'].get(request, filter=filter)
table = PrettyTable(['ID',
... | 73,052 |
def interval(lower_, upper_):
"""Build an interval."""
if lower_ <= upper_:
return lower_, upper_
return None | 73,053 |
async def apiDiscordCommandsDelete(cls:"WebIndex", WebRequest:Request) -> Response:
"""
Default url: /api/discord/commands/delete
"""
Data:WebRequestContent = WebRequestContent(WebRequest)
await Data.load()
# get required vars
guild_id:str = Data.getStr("guild_id", "", must_be_digit=True)
command_id:str = Dat... | 73,054 |
def _parse_amiga_props(amiga_props, offset_x):
"""Convert AmigaFont properties into yaff properties."""
if amiga_props.tf_Style & _FSF_COLORFONT:
raise ValueError('Amiga ColorFont not supported')
props = {}
# preserve tags stored in name field after \0
name, *tags = amiga_props.dfh_Name.deco... | 73,055 |
def flow_to_trafo_PnP(*args, **kwargs):
"""
input:
real_br: torch.tensor torch.Size([2])
real_tl: torch.tensor torch.Size([2])
ren_br: torch.tensor torch.Size([2])
ren_tl: torch.tensor torch.Size([2])
flow_mask: torch.Size([480, 640])
u_map: torch.Size([480, 640])
v_map... | 73,056 |
def Ha_plot(ax):
"""Plot the Ha line and bandpass."""
ax.axvspan(Ha - 0.678, Ha + 0.678, color='tab:blue', alpha=.5)
ax.axvspan(6545.495, 6556.245, color='tab:blue', alpha=.5)
ax.axvspan(6575.934, 6584.684, color='tab:blue', alpha=.5)
ax.axvline(Ha, color='red', ls='dashed')
ax.set_xlim(6544.49... | 73,057 |
def ikev2scan(ip, **kwargs):
"""Send a IKEv2 SA to an IP and wait for answers."""
return sr(IP(dst=ip) / UDP() / IKEv2(init_SPI=RandString(8),
exch_type=34) / IKEv2_payload_SA(prop=IKEv2_payload_Proposal()), **kwargs) | 73,058 |
def usb_get_strings(*args):
"""
usb_get_strings(context, device) -> (return_code, manufacturer, description, serial)
Return device ID strings from the usb device.
The parameters manufacturer, description and serial may be NULL or
pointer to buffers to store the fetched strings.
Use this fun... | 73,059 |
def set_avatar_url():
"""
设置用户头像信息
1. 获取参数，avatar, user_id,request.filter.get('avatar')
2. 检验参数存在
3. 读取图片数据，data= avatar.read()
4. 调用七牛云接口，上传用户头像
5. 保存用户头像信息到数据库
6. 拼接用户头像图片的完整路径，七牛云外链域名+图片文件名
7. 返回结果
:return:
"""
# 获取参数
user_id = g.user_id
avatar = request.files... | 73,060 |
def showSegmentation(
segmentation,
voxelsize_mm=np.ones([3, 1]),
degrad=4,
label=1,
smoothing=True,
vtk_file=None,
qt_app=None,
show=True,
resize_mm=None
):
"""
Funkce vrací trojrozměrné porobné jako data['segmentation']
v data... | 73,061 |
def fetch_links(html):
"""
Fetch all links on a given page and return their hrefs in a list
"""
elements = html.cssselect('a')
return [e.get('href') for e in elements if e.get('href') is not None] | 73,062 |
def isolines_style(value=RANGE_LABEL_KEY, top=11, cat=None, palette='pinkyl', size=None, opacity=0.8,
stroke_color='rgba(150,150,150,0.4)', stroke_width=None):
"""Helper function for quickly creating an isolines style.
Based on the color category style.
Args:
value (str, optional... | 73,063 |
def generate_html(html_name: str = "default_name"):
"""
format html_string and output html file
:param html_name: save html file name
:return: html_string
"""
if len(test_record_instance.test_record_list) == 0 and len(test_record_instance.error_record_list) == 0:
raise HTMLException(html... | 73,064 |
def write_dataset(dataset, filename):
"""
Writes a specific dataset (list of bee image files) to a txt file
in the specified file
:param dataset: the bee dataset to store
:param filename: the file where the dataset will be written
:return: nothing
"""
with open(filename, 'w') as file:
... | 73,065 |
def nlp_answer(question: str = "人工智能") -> str:
"""
智能问答
https://ownthink.com/robot.html
:param question: word in chinese
:type question: str
:return: indicator data
:rtype: list or dict or pandas.DataFrame
"""
url = 'https://api.ownthink.com/bot'
params = {
'spoken': ques... | 73,066 |
def load_eia861_state_total_sales(
pudl_out: pudl.output.pudltabl.PudlTabl
) -> pd.DataFrame:
"""
Read and format EIA 861 sales by state and year.
Args:
pudl_out: Used to access
:meth:`pudl.output.pudltabl.PudlTabl.sales_eia861`.
Returns:
Dataframe with columns `state_id_... | 73,067 |
def echo_handler(ex, *args, **kwargs):
"""
Example error handler which echoes the exception and the arguments.
"""
argstring = ','.join(['%s' % arg for arg in args])
return '%s/%s/%s' % (ex.message, argstring, kwargs) | 73,068 |
def test_load_duplicate_course(
mock_upsert_tasks, course_exists, course_id_is_duplicate, duplicate_course_exists
):
"""Test that load_course loads the course"""
course = CourseFactory.create(runs=None) if course_exists else CourseFactory.build()
duplicate_course = (
CourseFactory.create(runs=N... | 73,069 |
def p(k, x):
"""Iterative optimal binary pebbler generating {f^i(x)}_{i=0}^{n-1} in reverse, n=2^k."""
# initial stage
z = []
y = x
for h in range(2**k, 1, -1):
if h & (h-1) == 0: # h is power of 2
z.insert(0, y)
y = f(y)
yield
# output stage
y... | 73,070 |
def get_onnx2ncnn_path() -> str:
"""Get onnx2ncnn path.
Returns:
str: A path of onnx2ncnn tool.
"""
wildcard = os.path.abspath(
os.path.join(
os.path.dirname(__file__), '../../../build/bin/onnx2ncnn'))
paths = glob.glob(wildcard)
lib_path = paths[0] if len(paths) > ... | 73,071 |
def find_media(args, src_api, dest_api, dest_project):
""" Finds existing media in destination project. Returns media that need to be created and ID
mapping between source and destination medias.
"""
media = []
media_mapping = {}
if args.skip_media:
logger.info(f"Skipping media due t... | 73,072 |
def list_host_deployment_info(package_name, environment, version=None,
revision=None, apptypes=None):
"""Give all deployment information for a given package
deployed to hosts for given (or all) application types
and in given environment
"""
dep_info = (Session.qu... | 73,073 |
def test__config__get():
"""Test FluffConfig.get method."""
cfg = FluffConfig(config_b)
assert cfg.get("rules") == "L007"
assert cfg.get("rulez") is None
assert cfg.get("rulez", section="core", default=123) == 123
assert (
cfg.get("operator_new_lines", section=["rules", "L007"], default... | 73,074 |
def main():
"""Main"""
# Init
## Terminal size
size = x_size, y_size = os.get_terminal_size()
player = player_x, player_y = 2.4, 2.7
map_ = [ # 0: Vide, 1: Mur
[1,1,1,1,1,1,1,1],
[1,0,1,0,1,0,1,1],
[1,0,0,0,1,0,0,1],
[1,1,0,1,1,1,0,1],
... | 73,075 |
def _predict(group, model):
"""internal use """
# generate arrays and interpolate components onto the unknown x array
xdat, ydat = get_arrays(group, model.arrayname)
if xdat is None or ydat is None:
raise ValueError("cannot get arrays for arrayname='%s'" % arrayname)
spectra = interp(xdat, ... | 73,076 |
def test_runtime_config_attributes():
"""Check the attributes existence for a class RuntimeConfig."""
config = RuntimeConfig()
assert config is not None
assert hasattr(config, "_config") | 73,077 |
def computer_quals(predictions, n_alleles):
"""Computes GQ and QUAL values from a set of prediction probabilities."""
## GQ is prob(GQ) / prob(all genotypes)
## GQ is rounded to the nearest integer to comply with the VCF spec
index, gt = get_max_index(predictions, n_alleles)
gq = int(np.around(ptrue... | 73,078 |
def get_documentation_version_output(documentation_version: Optional[pulumi.Input[str]] = None,
rest_api_id: Optional[pulumi.Input[str]] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetDocumentationVersionResult]:
"""... | 73,079 |
def parse_surveyvars_spss(spss_file, lgr=logger):
"""Extracts dat metadata from CDC YRBS SPSS files
Extracts the survey questions and responses from the
CDC YRBS SPSS file.
Args:
spss_file: SPSS file path
Returns:
survey_vars: an OrderedDict with survey variables
The resu... | 73,080 |
def false_only(t: Type) -> ProperType:
"""
Restricted version of t with only False-ish values
"""
t = get_proper_type(t)
if not t.can_be_false:
if state.strict_optional:
# All values of t are True-ish, so there are no false values in it
return UninhabitedType(line=t.... | 73,081 |
def make_timevect(num, step, start=0.0, dtype=None):
"""
Return a linearly spaced time vector.
Remark: using this method is preferable to ``numpy.arange(start, start + num * step, step``
which may yield an incorrect number of samples due to numerical inaccuracy.
Parameters
----------
num :... | 73,082 |
def repr_tree(tree, viz, current_node, rec_depth, color_map, parameters):
"""
Represent a subtree on the GraphViz object
Parameters
-----------
tree
Current subtree
viz
GraphViz object
current_node
Father node of the current subtree
rec_depth
Reached recu... | 73,083 |
def get_object_versions(object_id: int) -> typing.List[Object]:
"""
Returns all versions of an object, sorted from oldest to newest.
:param object_id: the ID of the existing object
:return: the object versions
:raise errors.ObjectDoesNotExistError: when no object with the given
object ID ex... | 73,084 |
def _transform_xml(xml, xslt_path):
"""
Converts the xml document from one metadata schema to another
"""
xslt_file = open('{0}/../misc/tools/{1}'.format(ROOT_PATH, xslt_path))
xslt_root = etree.parse(xslt_file)
transform = etree.XSLT(xslt_root)
return transform(xml) | 73,085 |
def load_parser(d):
"""
For loadclass = 'POINTLOAD', 'LINELOAD' or 'AREALOAD'
LINELOAD "B2141" "5F" TYPE "POINTF" DIR "GRAV" LC "LL_0.5" FVAL 15 RDIST 0.4
LINELOAD "B2109" "6F" TYPE "UNIFF" DIR "GRAV" LC "DL" FVAL 0.7
LINELOAD "C7" "GF" TYPE "TEMP" LC "THN" T -10
AREALO... | 73,086 |
def neuron_create(num_inputs, activation, bias, layer_id, neuron_id):
"""
Create a neuron.
:param num_inputs: input dimension
:param activation: activation function.
:param bias: bias for this activation.
:param layer_id:
:param neuron_id:
:return:
"""
return {'weights'... | 73,087 |
def load_config(config_name):
"""
Loads a json config file and returns a config dictionary.
:param config_name: the path to the config json
"""
with open(config_name) as config_file:
config = json.load(config_file)
return config | 73,088 |
def lowres_initial_dem_splines_fit(
lowres_dsm_from_matches: xr.Dataset,
lowres_initial_dem: xr.Dataset,
origin: np.ndarray,
time_direction_vector: np.ndarray,
ext: int = 3,
order: int = 3,
):
"""
This function takes 2 datasets containing DSM and models the
difference between the two... | 73,089 |
def main():
"""
Execute action
:return: None
"""
community_obj = NetAppONTAPClusterPeer()
community_obj.apply() | 73,090 |
def find_plugins(plugin_dir):
"""Finds all python files in the specified path and imports them. This is needed, if we want to
detect automatically, which datastore and parser we can apply
:param plugin_dir: path to the plugin directory"""
plugin_files = [x[:-3] for x in os.listdir(plugin_dir) if x.... | 73,091 |
def test_bitext(input_path1, input_path2, output_path1, output_path2):
"""
Test the reconstruction of a bilingual corpus passing it through Tokenizer/Multitext pipeline.
Example:
text.test_bitext('data/en-fr/test.en-fr.en', 'data/en-fr/test.en-fr.fr', 'data/en-fr/test.en-fr.en-bi', 'data/en... | 73,092 |
def conformer_sampling(zma, spc_info, thy_info,
cnf_run_fs, cnf_save_fs, rid,
script_str, overwrite,
nsamp_par=(False, 3, 3, 1, 50, 50),
tors_names=(),
zrxn=None, two_stage=False,
re... | 73,093 |
def apply_pca(X, n_pc):
"""
Applying PCA
"""
U, S, V = pca(X)
Z = project_data(X, U, n_pc)
# attempt to recover the original structure (and later render it again):
X_recovered = recover_data(Z, U, n_pc)
return X_recovered | 73,094 |
def wordform_output(IGC_folder, prop_names):
"""
Iterates over the input corpus and returns the word forms not found
in the BIN, ordered by frequency. Can be altered for other
gagnagrunnar or malheildir.
"""
dim = SQLDatabase(db_name='gagnagrunnar/bin_lemmur_ordmyndir.db')
filters = SQLDa... | 73,095 |
def collect_errors(source):
"""
:return list(Error)
"""
from robot.parsing.builders import get_model
# TODO: Check if we should provide a curdir.
model = get_model(source, curdir=None)
errors_visitor = ErrorsVisitor()
errors_visitor.visit(model)
return errors_visitor.errors | 73,096 |
def get_wordlist():
"""Returns default HarSanitizer wordlist."""
hs = HarSanitizer()
try:
if WORDLIST_PATH[:4] == "http":
wordlist_json = json.loads(urllib3.urlopen(WORDLIST_PATH).read())
wordlist = hs.load_wordlist(wordlist=wordlist_json)
else:
wordlist = hs.load_wordlist(wordlist_path... | 73,097 |
def stop_build(build, request=None):
"""
Stop a specific build, by moving it into "ABORTING" state and then waiting for the worker to figure out how
to kill it.
"""
if build is None or not build.is_stoppable():
return
else:
build.status = ABORTING
projects = Project.objec... | 73,098 |
def load_fraud(n_rows=None, verbose=True):
"""Load credit card fraud dataset.
The fraud dataset can be used for binary classification problems.
Arguments:
n_rows (int): Number of rows from the dataset to return
verbose (bool): Whether to print information about features and labels
... | 73,099 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.