content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def getFileList(*args, **kwargs):
"""
Returns a list of files matching an optional wildcard pattern. Note that this command works directly on raw system files
and does not go through standard Maya file path resolution.
Flags:
- filespec : fs (unicode) [create]
... | 5,358,100 |
def export_descriptor(config, output_dir, args):
"""
# input 2 images, output keypoints and correspondence
save prediction:
pred:
'image': np(320,240)
'prob' (keypoints): np (N1, 2)
'desc': np (N2, 256)
'warped_image': np(320,240)
'warped_p... | 5,358,101 |
def test_left_right_transitions_linear():
"""Set a transition matrix generated by a left-right topology on a linear HMM"""
hmm = deepcopy(hmm_lr)
topology = _LinearTopology(n_states=5, random_state=rng)
transitions = topology.random_transitions()
hmm.transitions = transitions
assert_equal(hmm.tr... | 5,358,102 |
def LinkSigningChain(*certs):
"""Sets up the parent cert ID property values for a chain of certs."""
for i, cert in enumerate(certs):
if i == len(certs) - 1:
cert.parent_certificate_id = 0
else:
cert.parent_certificate_id = certs[i + 1].id | 5,358,103 |
def meta_caption(meta) -> str:
"""makes text from metadata for captioning video"""
caption = ""
try:
caption += meta.title + " - "
except (TypeError, LookupError, AttributeError):
pass
try:
caption += meta.artist
except (TypeError, LookupError, AttributeError):
... | 5,358,104 |
def ticket_id_correctly_formatted(s: str) -> bool:
"""Checks if Ticket ID is in the form of 'PROJECTNAME-1234'"""
return matches(r"^\w+-\d+$|^---$|^-$")(s) | 5,358,105 |
def test_1():
"""
f(x) = max(.2, sin(x)^2)
"""
test_graph = FunctionTree('Test_1')
max_node = Max('max')
const_node = Constant('0.2', .2)
square_node = Square('square')
sin_node = Sin('sin')
test_graph.insert_node(max_node, 'Output', 'x')
test_graph.insert_node(square_node, 'max'... | 5,358,106 |
def export_vector(vector, description, output_name, output_method='asset'):
"""Exports vector to GEE Asset in GEE or to shapefile
in Google Drive.
Parameters
----------
vector : ee.FeatureCollection
Classified vector segments/clusters.
description : str
Description of the expor... | 5,358,107 |
def gather_competition_data(comp_url, target_directory=None):
"""
gather all competition data from the url:
"https://www.digitalrock.de/dav_calendar.php?no_dav=1&year=2019"
:return: - nothing - but side efect are the competition
files in target directory
"""
print("Fetching co... | 5,358,108 |
def fetch_configs(config=''):
"""
Fetch config files from the remote, via rsync. Specify a config
directory, such as 'cylinder' to copy just one config. Config files
are stored as, e.g. cylinder/config.dat and cylinder/config.xml
Local path to use is specified in machines_user.json, and should
n... | 5,358,109 |
def test_bytes_head(path):
"""It should get the first lines of a file as bytes"""
assert bytes_head(path('0_0.csv'), 1) == b'a,b\n'
assert bytes_head(path('0_0.csv'), 100) == b'a,b\n0,0\n0,1' | 5,358,110 |
def reminder() -> None:
"""Send reminder if no entry as of certian times"""
utc_now = pytz.utc.localize(datetime.datetime.utcnow())
# Heroku scheduler usually runs a couple mins after hour, not at top, so just hour compared
now = datetime.datetime.strftime(utc_now.astimezone(pytz.timezone("America/Chic... | 5,358,111 |
def optimize_centers_mvuiq(A, B, Q, centers, keep_sparsity=True):
""" minimize reconstruction error after weighting by matrix A and make it unbiased
min_{c_i} \|A.(\sum_i Q_i c_i) - B\|_F^2 such that sum(B-A(\sum_i Q_i c_i)) = 0
"""
num_levels = len(centers)
thr = sla.norm(A) * 1e-6
# 1- co... | 5,358,112 |
def container_instance_task_arns(cluster, instance_arn):
"""Fetch tasks for a container instance ARN."""
arns = ecs.list_tasks(cluster=cluster, containerInstance=instance_arn)['taskArns']
return arns | 5,358,113 |
def sierpinski_triangle(order, length, upper_left_x, upper_left_y):
"""
:param order: int, the order of Sierpinski Triangle
:param length: int, the length of order n Sierpinski Triangle
:param upper_left_x: str, the upper left x coordinate of order n Sierpinski Triangle
:param upper_left_y: str, the upper left y c... | 5,358,114 |
def control_logic(center_x,center_y):
"""
Purpose:
---
This function should implement the control logic to balance the ball at a particular setpoint on the table.
The orientation of the top table should "ONLY" be controlled by the servo motor as we would expect in a
practical scenario.
Hence "ONLY" the shaft ... | 5,358,115 |
def benchmark(pipelines=None, datasets=None, hyperparameters=None, metrics=METRICS, rank='f1',
distributed=False, test_split=False, detrend=False, output_path=None):
"""Evaluate pipelines on the given datasets and evaluate the performance.
The pipelines are used to analyze the given signals and l... | 5,358,116 |
def notNone(arg,default=None):
""" Returns arg if not None, else returns default. """
return [arg,default][arg is None] | 5,358,117 |
def get_scorer(scoring):
"""Get a scorer from string
"""
if isinstance(scoring, str) and scoring in _SCORERS:
scoring = _SCORERS[scoring]
return _metrics.get_scorer(scoring) | 5,358,118 |
def triangle_num(value: int) -> int:
"""Returns triangular number for a given value.
Parameters
----------
value : int
Integer value to use in triangular number calculaton.
Returns
-------
int
Triangular number.
Examples:
>>> triangle_num(0)
0
>>> t... | 5,358,119 |
def show_whole_td_msg(whole_td_msg):
"""
显示完整的td_msg
:param whole_td_msg: np.ndarray, shape=(20, 16, 200, 1000)
:return:
"""
img_path = '../tmp/td_msg'
for tag in range(20):
final = np.zeros((200, 1000), dtype=np.uint8)
for i in range(16):
pic = np.zeros((200, 100... | 5,358,120 |
def locations_sim_euclidean(image:DataBunch, **kwargs):
"""
A locations similarity function that uses euclidean similarity between vectors. Predicts the anatomical locations of
the input image, and then returns the eucliean similarity between the input embryo's locations vector and the
locations vectors... | 5,358,121 |
def assert_almost_equal(
actual: Tuple[numpy.float64, numpy.float64],
desired: List[numpy.float64],
decimal: int,
err_msg: Literal["(4, 200)normal"],
):
"""
usage.statsmodels: 1
"""
... | 5,358,122 |
def _butter_bandpass_filter(data, low_cut, high_cut, fs, axis=0, order=5):
"""Apply a bandpass butterworth filter with zero-phase filtering
Args:
data: (np.array)
low_cut: (float) lower bound cutoff for high pass filter
high_cut: (float) upper bound cutoff for low pass filter
fs... | 5,358,123 |
def transform_and_normalize(vecs, kernel, bias):
"""应用变换，然后标准化
"""
if not (kernel is None or bias is None):
vecs = (vecs + bias).dot(kernel)
return vecs / (vecs**2).sum(axis=1, keepdims=True)**0.5 | 5,358,124 |
def mpesa_response(r):
"""
Create MpesaResponse object from requests.Response object
Arguments:
r (requests.Response) -- The response to convert
"""
r.__class__ = MpesaResponse
json_response = r.json()
r.response_description = json_response.get('ResponseDescription', '')
r.error_code = json_response.get('e... | 5,358,125 |
def swap_flies(dataset, indices, flies1=0, flies2=1):
"""Swap flies in dataset.
Caution: datavariables are currently hard-coded!
Caution: Swap *may* be in place so *might* will alter original dataset.
Args:
dataset ([type]): Dataset for which to swap flies
indices ([type]): List of ind... | 5,358,126 |
def get_log_events(logGroupName=None, logStreamName=None, startTime=None, endTime=None, nextToken=None, limit=None, startFromHead=None):
"""
Lists log events from the specified log stream. You can list all the log events or filter using a time range.
By default, this operation returns as many log events as ... | 5,358,127 |
def test_event_data(create_main_loop):
"""Test after_epoch and after_batch event args match the expectation."""
recording_hook = DataRecordingHook()
model, dataset, mainloop = create_main_loop(epochs=3, model_class=RecordingModel,
extra_hooks=[recording_hook],... | 5,358,128 |
def periodic_kernel(avetoas, log10_sigma=-7, log10_ell=2,
log10_gam_p=0, log10_p=0):
"""Quasi-periodic kernel for DM"""
r = np.abs(avetoas[None, :] - avetoas[:, None])
# convert units to seconds
sigma = 10**log10_sigma
l = 10**log10_ell * 86400
p = 10**log10_p * 3.16e7
g... | 5,358,129 |
def emails(request):
"""
A view to send emails out to hunt participants upon receiving a valid post request as well as
rendering the staff email form page
"""
teams = Hunt.objects.get(is_current_hunt=True).real_teams
people = []
for team in teams:
people = people + list(team.person_... | 5,358,130 |
def _stochastic_universal_sampling(parents: Population, prob_distribution: list, n: int):
"""
Stochastic universal sampling (SUS) algorithm. Whenever more than one sample is to be drawn from the distribution
the use of the stochastic universal sampling algorithm is preferred compared to roulette wheel algor... | 5,358,131 |
def format_exception_with_frame_info(e_type, e_value, e_traceback, shorten_filenames=False):
"""Need to suppress thonny frames to avoid confusion"""
_traceback_message = "Traceback (most recent call last):\n"
_cause_message = getattr(
traceback,
"_cause_message",
("\nThe above exce... | 5,358,132 |
def _add_simple_procparser(subparsers, name, helpstr, func, defname='proc',
xd=False, yd=False, dualy=False, other_ftypes=True):
"""Add a simple subparser."""
parser = _add_procparser(subparsers, name, helpstr, func, defname=defname)
_add_def_args(parser, xd=xd, yd=yd, dualy=dualy... | 5,358,133 |
def save_instrument_data_reference(msg_struct):
"""Checks to see if there is already an instrument data reference for this event code, and if there isn't, creates
one. Instrument data references are used to allow the servers to track which events are pertinent to a particular
instrument (some events are for... | 5,358,134 |
def addSortMethod(handle, sortMethod):
"""A stub implementation of the xbmcplugin addSortMethod() function"""
return | 5,358,135 |
def get_volumes(fn):
"""Return number of volumes in nifti"""
return int(subprocess.check_output(['fslnvols', fn])) | 5,358,136 |
async def _execSubprocess(command: str) -> tuple[int, bytes]:
"""Execute a command and check for errors.
Args:
command (str): commands as a string
Returns:
tuple[int, bytes]: tuple of return code (int) and stdout (str)
"""
async with SEM:
process = await asyncio.create_subprocess_shell(
command,
stdo... | 5,358,137 |
def submit_job(app_id, app_key, task_id, mimetype, text_col, dedupe):
"""Submit a job to the queue for the Celery worker. Create the required JSON message and post it to RabbitMQ."""
# These are the args that the Python function in the adjunct processor will use.
kwargs = {"app_id": app_id,
"a... | 5,358,138 |
def comprspaces(*args):
"""
.. function:: comprspaces(text1, [text2,...]) -> text
This function strips (from the beginning and the end) and compresses
the spaces in its input.
Examples:
>>> table1('''
... ' an example with spaces ' 'another example with spaces '
... | 5,358,139 |
def find_available_port():
"""Find an available port.
Simple trick: open a socket to localhost, see what port was allocated.
Could fail in highly concurrent setups, though.
"""
s = socket.socket()
s.bind(('localhost', 0))
_address, port = s.getsockname()
s.close()
return port | 5,358,140 |
def redirect_std():
"""
Connect stdin/stdout to controlling terminal even if the scripts input and output
were redirected. This is useful in utilities based on termenu.
"""
stdin = sys.stdin
stdout = sys.stdout
if not sys.stdin.isatty():
sys.stdin = open_raw("/dev/tty", "r", ... | 5,358,141 |
def merge_deep(dct1, dct2, merger=None):
"""
Deep merge by this spec below
:param dct1:
:param dct2:
:param merger Optional merger
:return:
"""
my_merger = merger or Merger(
# pass in a list of tuples,with the
# strategies you are looking to apply
# to each ty... | 5,358,142 |
def step(
context, bind_to, data, title='', area=False, x_is_category=False,
labels=False, vertical_grid_line=False, horizontal_grid_line=False,
show_legend=True, zoom=False, group_tooltip=True, height=None,
width=None
):
"""Generates javascript code to show a 'step' chart.
... | 5,358,143 |
def get(user_request, url, **kwargs):
""" A wrapper of requests.get.
This method will automatically add user's session key as the cookie to enable sso
Sends a GET request. Returns :class:`Response` object.
:param user_request: The http request contains the authentication key and is triggered by user.
... | 5,358,144 |
def get_baseline_y(line: PageXMLTextLine) -> List[int]:
"""Return the Y/vertical coordinates of a text line's baseline."""
if line_starts_with_big_capital(line):
return [point[1] for point in line.baseline.points if point[1] < line.baseline.bottom - 20]
else:
return [point[1] for point in li... | 5,358,145 |
def get_device_type(dev, num_try=1):
""" Tries to get the device type with delay """
if num_try >= MAX_DEVICE_TYPE_CHECK_RETRIES:
return
time.sleep(1) # if devtype is checked to early it is reported as 'unknown'
iface = xwiimote.iface(dev)
device_type = iface.get_devtype()
if not device... | 5,358,146 |
def register_barrier():
"""So we don't have multiple jobs running simulateously"""
register_job(
user="vogels",
project="sgd",
experiment=experiment,
job="barrier",
priority=priority,
n_workers=16,
config_overrides={},
runtime_environment={"clone":... | 5,358,147 |
def index():
"""
This is the grocery list.
Concatenates the ingredients from all the upcoming recipes
The ingredients dict that we pass to the template has this structure
{
"carrot": {
"g": 200,
"number": 4,
"str": "200g, 4number",
},
"salt... | 5,358,148 |
def test_Fit_MinFunc():
"""
There are times where I don't pass just a simple function to the fitting algorithm.
Instead I need to calculate the error myself and pass that to the model. This tests
that ability.
"""
init = {
'm': 20,
'b': -10
}
def func(X, *args):
... | 5,358,149 |
def BOP(data):
"""
Balance of Power Indicator
:param pd.DataFrame data: pandas DataFrame with open, high, low, close data
:return pd.Series: with indicator data calculation results
"""
fn = Function('BOP')
return fn(data) | 5,358,150 |
def get_infinite(emnist_client_data, num_pseudo_clients):
"""Converts a Federated EMNIST dataset into an Infinite Federated EMNIST set.
Infinite Federated EMNIST expands each writer from the EMNIST dataset into
some number of pseudo-clients each of whose characters are the same but apply
a fixed random affine ... | 5,358,151 |
def extractHavingSubDomain():
"""
[Passive] Sets the having_Sub_Domain feature after checking how many sub-domains the hostname has.
This number include the "www." prefix and the top level domain like ".com" or ".uk"
1) -1 if the hostname has more than 3 parts after splitting along '.' ie "www." + some ... | 5,358,152 |
def exec_crossover_once(ind1, ind2, cxpoint, n_degree):
"""single point crossover for two individuals
Parameters
----------
ind1: individual 1
ind2: individual 2
cxpoint: crossover point
n_degree: number of degree
"""
g1 = ind1.G
g2 = ind2.G
x = np.min(cxpoint)
y = ... | 5,358,153 |
def create_plot(df, title, carbon_unit, cost_unit, ylimit=None):
"""
:param df:
:param title: string, plot title
:param carbon_unit: string, the unit of carbon emissions used in the
database/model, e.g. "tCO2"
:param cost_unit: string, the unit of cost used in the database/model,
e.g. "USD"... | 5,358,154 |
def get_app(name, **kwargs):
"""Returns an instantiated Application based on the name.
Args:
name (str): The name of the application
kwargs (dict): Keyword arguments used for application instantiation
Returns:
deepcell.applications.Application: The instantiated application
"""
... | 5,358,155 |
def test_subscriber__CreatorAnnotator__1(person):
"""`CreatorAnnotator` sets the creator on adding a person with browser."""
assert u'global editor' == IEditor(person).creator | 5,358,156 |
def worker_complete():
"""Complete worker."""
participant_id = request.args.get('participant_id')
if not participant_id:
return error_response(
error_type="bad request",
error_text='participantId parameter is required'
)
try:
_worker_complete(participant_... | 5,358,157 |
def combine(connected_events):
"""
Combine connected events into a graph.
:param connected_events: see polychronous.filter
:return: graph_of_connected_events
"""
graph_of_connected_events = nx.Graph()
graph_of_connected_events.add_edges_from(connected_events)
return (graph_of_connected_e... | 5,358,158 |
def set_config(**kwargs):
"""
Set SleepECG preferences and store them to the user configuration file.
If a value is `None`, the corresponding key is deleted from the user
configuration. See :ref:`configuration` for a list of possible
settings.
Parameters
----------
**kwargs: dict, opti... | 5,358,159 |
def calculate_hash(filepath, hash_name):
"""Calculate the hash of a file. The available hashes are given by the hashlib module. The available hashes can be listed with hashlib.algorithms_available."""
hash_name = hash_name.lower()
if not hasattr(hashlib, hash_name):
raise Exception('Hash algorithm ... | 5,358,160 |
def specify_run_step(
args: RunConfig,
aml_resources: AMLResources,
run_script_path: Path,
loop_config_class: Type[OptimizerConfig],
check_consistency: bool = True,
) -> Tuple[List[PythonScriptStep], List[PipelineData], Dict[str, List[str]], List[str]]:
"""
Create the pipeline step(s) to run... | 5,358,161 |
def upgrade_to_blender2910(nodes):
"""
Blender 2.91 adds a new input to the BSDF node, emit strength in slot 18, moving the previous slot 18 up etc.
Anything that connect to slot 18 or above from before 2.91 will have it's slot number increased by one.
The input default values will also be updated to ma... | 5,358,162 |
def default_mp_value_parameters():
"""Set the different default parameters used for mp-values.
Returns
-------
dict
A default parameter set with keys: rescale_pca (whether the PCA should be
scaled by variance explained) and nb_permutations (how many permutations to
calculate emp... | 5,358,163 |
def change_auth_keys(server, user, auth_keys):
"""
update authorize keys. ath_keys is list of keys.
will get current auth_keys, remove keys with auth_tag, and add new
auth_keys with auth_tag.
return: if success, none. else, a dict: { stdout: xxx, stderr: yyy }
"""
auth_tag = os.getenv('AUT... | 5,358,164 |
def svn_wc_diff(*args):
"""
svn_wc_diff(svn_wc_adm_access_t anchor, char target, svn_wc_diff_callbacks_t callbacks,
void callback_baton,
svn_boolean_t recurse, apr_pool_t pool) -> svn_error_t
"""
return _wc.svn_wc_diff(*args) | 5,358,165 |
def plot3d_gmphd_track(model, grid, gm_s_list=None, gm_list_list=None,
observation_list=None, prediction_list=None, truth=None,
title=None, contours=4, log_plot=True):
""" Animate GM-PHD Filter result on 3D plot with mayavi
Args:
model (:obj:`pymrt.tracking... | 5,358,166 |
def _FindResourceIds(header, resource_names):
"""Returns the numerical resource IDs that correspond to the given resource
names, as #defined in the given header file."
"""
pattern = re.compile(
r'^#define (%s) _Pragma\S+ (\d+)$' % '|'.join(resource_names))
with open(header, 'r') as f:
res_ids = [... | 5,358,167 |
def resolve_request_path(requested_uri):
"""
Check for any aliases and alter the path accordingly.
Returns resolved_uri
"""
for key, val in PATH_ALIASES.items():
if re.match(key, requested_uri):
return re.sub(key, val, requested_uri)
return requested_uri | 5,358,168 |
async def test_import_invalid_ip(hass: HomeAssistant) -> None:
"""Test that invalid IP error is handled during import."""
name = "Vallox 90 MV"
result = await hass.config_entries.flow.async_init(
DOMAIN,
context={"source": SOURCE_IMPORT},
data={"host": "vallox90mv.host.name", "name"... | 5,358,169 |
def apim_api_delete(
client, resource_group_name, service_name, api_id, delete_revisions=None, if_match=None, no_wait=False):
"""Deletes an existing API. """
cms = client.api
return sdk_no_wait(
no_wait,
cms.delete,
resource_group_name=resource_group_name,
service_n... | 5,358,170 |
def deep_copy(obj):
"""Make deep copy of VTK object."""
copy = obj.NewInstance()
copy.DeepCopy(obj)
return copy | 5,358,171 |
def search_exception(n, num_incr=1000):
""" search for exception to perfect mirsky for
given n, checking pairs
checks in reversed order to check pairs with permutations
of less fixed points first
"""
eigvals = []
in_rad = np.cos(np.pi/n)
x_ranges, lines = pm_boundary(n)
f... | 5,358,172 |
def get_dunn_index(fdist, *clusters):
"""
Returns the Dunn index for the given selection of nodes.
J.C. Dunn. Well separated clusters and optimal fuzzy
partitions. 1974. J.Cybern. 4. 95-104.
"""
if len(clusters)<2:
raise ValueError, "At least 2 clusters are required"
intra_dist =... | 5,358,173 |
def sample(words, n=10) -> str:
"""Sample n random words from a list of words."""
return [random.choice(words) for _ in range(n)] | 5,358,174 |
def extract_peaks(
imzml_path,
db,
tol_ppm=DEFAULT_TOL_PPM,
tol_mode=DEFAULT_TOL_MODE,
base_mz=DEFAULT_BASE_MZ,
):
"""
Extract all peaks from the given imzML file for the supplied database of molecules.
:param imzml_path:
:param db: A pandas DataFrame containing an 'mz' column. Addit... | 5,358,175 |
def cov_dense(n_features=100, scale=0.5,
edges='ones', pos=True, force_psd=True, random_state=None):
"""
Returns a covariance matrix with a constant diagonal and whose off diagnale elements are obtained from adj_mats.complete_graph()
Parameters
----------
n_features: int
scale: f... | 5,358,176 |
def measure_fwhm(array):
"""Fit a Gaussian2D model to a PSF and return the FWHM
Parameters
----------
array : numpy.ndarray
Array containing PSF
Returns
-------
x_fwhm : float
FWHM in x direction in units of pixels
y_fwhm : float
FWHM in y direction in units of... | 5,358,177 |
def test_not_impartial(g):
"""
Test that these games are not impartial.
"""
assert not g.is_impartial | 5,358,178 |
def exists(profile, bucket, name):
"""Check if a file exists in an S3 bucket.
Args:
profile
A profile to connect to AWS with.
bucket
The name of the bucket you want to find the file in.
name
The name of a file.
Returns:
True if it exis... | 5,358,179 |
def fetchquota(adr):
"""Retrieves the account quota information and passes the interesting
part of the json object along to the request source.
Arguments:
adr (str): The email account address of interest.
Returns:
The quota part of the json object for the response.
"""
debuginf... | 5,358,180 |
def saslocal():
"""Set sasurl to local."""
set_sasurl(loc='local') | 5,358,181 |
def print_basic_csv(file_name, delimiter=','):
"""This function extracts and prints csv content from given filename
Details: https://docs.python.org/2/library/csv.html
Args:
file_name (str): file path to be read
delimiter (str): delimiter used in csv. Default is comma (',')
Returns:
... | 5,358,182 |
def project_login(driver):
"""
針對多綫程執行設定不同樣本編號，若修改問卷，也許提供該問卷樣本編號的第一順位號碼。
"""
SAMPLE_NUMBER = 20200101+sample_add
try:
WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.XPATH, '//*[@name="{}"][1]'
.format(str(SAMPLE_NUMBER))))).click() # 選擇樣本編號作答
sleep(... | 5,358,183 |
def set_directory_request_data(directory, key, value):
"""Allows to associate a value to a key on the data object of a request
:param directory: The name of the directory of the request to which the data will be associated
:type directory: str
:param key: The key to which the data will be associate... | 5,358,184 |
def convert_convolutionfunction_to_image(cf):
""" Convert ConvolutionFunction to an image
:param cf:
:return:
"""
return create_image_from_array(cf.data, cf.grid_wcs, cf.polarisation_frame) | 5,358,185 |
def macro(libname):
"""Decorator for macros (Moya callables)."""
def deco(f):
exposed_elements[libname] = f
return f
return deco | 5,358,186 |
def product(*generators):
"""generate the cartesian product of infinite generators."""
generators = list(map(GenCacher, generators))
for distance in itertools.count(0):
for idxs in _summations(distance, len(generators)):
yield tuple(gen[idx] for gen, idx in zip(generators, idxs)) | 5,358,187 |
def get_dataloaders(dataset, mode='train', root=None, shuffle=True, pin_memory=True,
batch_size=8, logger=logging.getLogger(__name__), normalize=False, **kwargs):
"""A generic data loader
Parameters
----------
dataset : {"openimages", "jetimages", "evaluation"}
Name of the ... | 5,358,188 |
def ie():
"""Interest Expense Function"""
ww = float(input("for Short-Term Loan Press 1:\nfor Long-Term Loan Press 2:\nfor Bonds-Payable Press 3: "))
if(ww == 1):
e = float(input("Please Enter The Principal Value: "))
ew = float(input("Please Enter Interest rate %: "))
ea = flo... | 5,358,189 |
def stats_file(filename, shape, dtype=None, file_format='raw',
out_of_core=True, buffer_size=None, max_memory=None,
progress_frequency=None):
"""stats_file(filename, shape, dtype=None, file_format='raw',
out_of_core=True, buffer_size=None, max_memory=None,
... | 5,358,190 |
def get_info(args):
"""
Loads todo.txt, sets up file paths, loads in any available star information, saves the
relevant parameters for each of the two main routines and sets the plotting parameters.
Parameters
----------
args : argparse.Namespace
command-line arguments
parallel : b... | 5,358,191 |
def test_isupport_getattr():
"""Test using ISUPPORT parameters as read-only attributes."""
instance = isupport.ISupport(awaylen=50)
assert hasattr(instance, 'AWAYLEN')
assert not hasattr(instance, 'awaylen'), 'attributes are ALL_UPPERCASE'
assert not hasattr(instance, 'UNKNOWN')
assert instanc... | 5,358,192 |
def _weight_func(dist):
"""Weight function to replace lambda d: d ** -2.
The lambda function is not valid because:
if d==0 then 0^-2 is not valid."""
# Dist could be multidimensional, flatten it so all values
# can be looped
with np.errstate(divide="ignore"):
retval = 1.0 / dist
ret... | 5,358,193 |
def enable_logging(
debug=False, http_debug=False, path=None, stream=None,
format_stream=False,
format_template='%(asctime)s %(levelname)s: %(name)s %(message)s',
handlers=None,
):
"""Enable logging output.
Helper function to enable logging. This function is available for
debugging purposes... | 5,358,194 |
def two_poles(time_limit=_DEFAULT_TIME_LIMIT, random=None,
environment_kwargs=None):
"""Returns the Cartpole Balance task with two poles."""
physics = Physics.from_xml_string(*get_model_and_assets(num_poles=2))
task = Balance(swing_up=True, sparse=False, random=random)
environment_kwargs = environ... | 5,358,195 |
def process_topic_entity(entity: dict, language: str) -> bool:
"""
Given a topic entity, gather its metadata
:param entity
:param language:
:type entity dict
:type language str
:returns bool
"""
try:
# Get ID
remote_id = entity["title"]
print("%s\t%s" % ("ID"... | 5,358,196 |
def _no_grad_trunc_normal_(tensor: Tensor, mean: float, std: float, a: float, b: float) -> Tensor:
"""Cut & paste from PyTorch official master until it's in a few official
releases - RW Method based on https://people.sc.fsu.edu/~jburkardt/presentations/truncated_normal.pdf
Args:
tensor (Tensor)... | 5,358,197 |
def inverse_update(C, m, return_drop=False):
"""
Compute the inverse of a matrix with the m-th row and column dropped given knowledge of the inverse of the original
matrix.
C = inv(A)
B = drop_col(drop_row(A, m),m)
computes inv(B) given only C
Args:
C: inverse of full m... | 5,358,198 |
def loss_calc(settings, all_batch, market_batch):
""" Calculates nn's NEGATIVE loss.
Args:
settings: contains the neural net
all_batch: the inputs to neural net
market_batch: [open close high low] used to calculate loss
Returns:
cost: loss - l1 penalty
"""
loss = set... | 5,358,199 |
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