content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def write_linux_hash_testvec(f, vec):
"""Format a hash test vector for Linux's crypto tests."""
write_linux_testvec_hexfield(f, "key", vec['input']['key'])
write_linux_testvec_field(f, "ksize", len(vec['input']['key']))
write_linux_testvec_hexfield(f, "plaintext", vec['input']['message'])
length = l... | 37,400 |
def get_query_string_from_process_type_string(process_type_string: str) -> str: # pylint: disable=invalid-name
"""
Take the process type string of a Node and create the queryable type string.
:param process_type_string: the process type string
:type process_type_string: str
:return: string that c... | 37,401 |
def test_key_to_fuzzer_and_benchmark():
"""Tests that key_to_fuzzer_and_benchmark returns the correct result."""
assert (coverage_data_utils.key_to_fuzzer_and_benchmark('afl libpng-1.2.56')
== (FUZZER, BENCHMARK)) | 37,402 |
def get_column(fn):
"""Get column from Cellomics filename.
Parameters
----------
fn : string
A filename from the Cellomics high-content screening system.
Returns
-------
column : string
The channel of the filename.
Examples
--------
>>> fn = 'MFGTMP_14020618000... | 37,403 |
def json_to_csv(input_json, output_file):
"""Reads a JSON file, generated by the VGG Image Annotator, and generates a single CSV file"""
with open(input_json) as f:
images = json.load(f)
annotations = []
for entry in images:
filename = images[entry]['filename']
for region in im... | 37,404 |
def add_tables():
"""
Generates tables in postgres database according to SQLAlchemy
model when this script is invoked directly via terminal.
"""
return database.Base.metadata.create_all(bind=database.engine) | 37,405 |
def isloggedin(userdir):
"""If user has sent us an in date, valid cookie then return updated cookie header,
otherwise return False."""
try:
rawcookie = os.environ['HTTP_COOKIE']
except KeyError:
return False
thecookie = SimpleCookie(rawcookie)
try:
cookiestring = thecooki... | 37,406 |
def enable(name, start=False, **kwargs):
"""
Start service ``name`` at boot.
Returns ``True`` if operation is successful
name
the service's name
start : False
If ``True``, start the service once enabled.
CLI Example:
.. code-block:: bash
salt '*' service.enable <... | 37,407 |
def docs(runtime, environment):
""" Build the html documentation.
"""
parameters = get_parameters(runtime, environment)
commands = [
"edm run -e {environment} -- sphinx-build -b html "
"-d build/doctrees source build/html",
]
with do_in_existingdir(os.path.join(os.getcwd(), 'doc... | 37,408 |
def label_vertices(ast, vi, vertices, var_v):
"""Label each node in the AST with a unique vertex id
vi : vertex id counter
vertices : list of all vertices (modified in place)
"""
def inner(ast):
nonlocal vi
if type(ast) != dict:
if type(ast) == list:
# pr... | 37,409 |
def standardize_batch(inputs,
is_training,
decay=0.999,
epsilon=1e-3,
data_format="NHWC",
use_moving_averages=True,
use_cross_replica_mean=None):
"""Adds TPU-enabled batch normalization ... | 37,410 |
def process_misc_info_txt(framework_target_files_temp_dir,
vendor_target_files_temp_dir,
output_target_files_temp_dir,
framework_misc_info_keys):
"""Performs special processing for META/misc_info.txt.
This function merges the contents of... | 37,411 |
def test_relation_isattrs_return_right_bools(relation, m2m, multi, direct):
"""
All "is" attributes on Relation objects should return the correct
truth values for the type of relation that is represented.
"""
assert relation.is_m2m == m2m
assert relation.is_multi == multi
assert relation.is_... | 37,412 |
def dict_to_hierarchy(tree, create_nodes=True, node_type="transform"):
"""Parent DAG nodes based on a dictionnary.
Args:
tree (dict): Dictionary representing the hierarchy.
node_type (str): Type of node to be created if the children doesn't exist
"""
if tree:
for parent, child_t... | 37,413 |
def bias_variable(shape):
"""Create a bias variable with appropriate initialization."""
#initial = tf.constant(0.1, shape=shape)
initial = tf.constant(0.0, shape=shape)
return tf.Variable(initial) | 37,414 |
def getPortNumber():
"""
Check the command-line arguments for the port number.
The program can exit in this method if
Too few arguments are passed into the program
Too many arguments are passed into the program
The port number argument is non-numeric
The port number argument is less than 0 since port number... | 37,415 |
def object_gatekeeper(obj, is_auth, ignore_standalone=False):
"""
It's OK to use available_to_public here because the underlying logic is identical.
"""
if not obj:
return False
if is_auth:
return True
else:
try:
return obj.available_to_public
except:
... | 37,416 |
def l1_l2_regularizer(scale_l1=1.0, scale_l2=1.0, scope=None):
"""Returns a function that can be used to apply L1 L2 regularizations.
Args:
scale_l1: A scalar multiplier `Tensor` for L1 regularization.
scale_l2: A scalar multiplier `Tensor` for L2 regularization.
scope: An optional scope name.
Retur... | 37,417 |
def test013_ip_range():
"""
to run:
kosmos 'j.data.types.test(name="iprange")'
"""
ipv4 = j.data.types.get("iprange", default="192.168.0.0/28")
assert ipv4.default_get() == "192.168.0.0/28"
assert ipv4.check("192.168.23.255/28") is True
assert ipv4.check("192.168.23.300/28") is False
... | 37,418 |
def _create_hive_cursor():
"""
Initializes a hive connection and returns a cursor to it
:return: hive cursor
"""
_print_info('Initializing hive cursor.')
return _initialize_hive_connection() | 37,419 |
def load_pretrained_wts(featurizer_params, ExtendedEncoder_params):
"""Merging pre-trained and initialised parameters"""
param_idx = config['restart_from']//config['total_steps']
if os.path.isfile(config['params_dir']+f'params_{param_idx}'):
with open(config['params_dir']+f'params_{param_idx}',... | 37,420 |
def to_vector_single(text, embeddings, maxlen=300):
"""
Given a string, tokenize it, then convert it to a sequence of word embedding
vectors with the provided embeddings, introducing <PAD> and <UNK> padding token
vector when appropriate
"""
tokens = tokenizeAndFilterSimple(clean_text(text))
... | 37,421 |
def eval_tensor_density(
tens: tf_compat.Tensor, sess: tf_compat.Session = None
) -> float:
"""
Get the density (fraction of non zero values) in a tensor
:param tens: the tensor to get the density for
:param sess: the session to use for evaluating the tensor,
if not supplied will use the de... | 37,422 |
def get(key, default):
"""Get a config bloc from the YAML config file.
Args:
default (dict): The default bloc if the key is not available
Returns:
dict: The config bloc (or the default one)
"""
if not key.lower() in _YAML_DICT or isinstance(_YAML_DICT[key.lower()], collections.Mapp... | 37,423 |
def adaptsim(f, a, b, eps=1e-8, max_iter=10000):
"""自适应 Simpson 求积
P.S. 这个函数名来自 Gander, W. and W. Gautschi, “Adaptive
Quadrature – Revisited,” BIT, Vol. 40, 2000, pp. 84-101.
该文档可以在 https://people.inf.ethz.ch/gander/ 找到。
但该函数的实现并没有使用此文中的递归方法。
Args:
f: 要求积的函数
... | 37,424 |
def runHmmer(args, list_path, file_path, f):
"""run prodigal and hmmsearch on chr files"""
if not os.path.exists( str(args.data) + '/tmp'):
os.makedirs(str(args.data) + '/tmp')
# get the sample group
head, group = os.path.split(os.path.split(file_path)[0])
basename = os.path.splitext(str(ntpath.basename(str(file... | 37,425 |
def get_next_position(grid):
"""Returns best next position to send."""
width = len(grid[0])
unprepared = [inspect_around_position(grid, x)
for x in range(1, width - 1)]
return unprepared.index(max(unprepared)) + 2 | 37,426 |
def which_subdir(sha: str) -> Optional[str]:
""" Determine which subset (if any) sha is represented in """
fname = sha + '.json'
for k, v in subdir_contents.items():
if fname in v:
subdir_contents[k].remove(fname)
return k
subdir_contents[MISSING_FILE].add(fname)
retu... | 37,427 |
def smoothedEnsembles(data,lat_bounds,lon_bounds):
"""
Smoothes all ensembles by taking subsamples
"""
### Import modules
import numpy as np
import sys
print('\n------- Beginning of smoothing the ensembles per model -------')
### Save MM
newmodels = data.copy()
mmean = n... | 37,428 |
def conv7x7_block(in_channels,
out_channels,
strides=1,
padding=3,
use_bias=False,
use_bn=True,
bn_eps=1e-5,
activation="relu",
data_format="channels_last",
*... | 37,429 |
def alpha_to_weights(alpha):
"""归一化. 最终截面绝对值和为2. """
alpha = alpha - np.nanmean(alpha, axis=1, keepdims=True)
mask_pos = (alpha > 0)
mask_neg = (alpha < 0)
alpha_pos = imposter(alpha)
alpha_pos[mask_pos] = alpha[mask_pos]
alpha_pos = alpha_pos / np.nansum(alpha_pos, 1, keepdims=True)
... | 37,430 |
def complete_with_fake_data_for_warmup(minimum_n_rows_to_fit, X=None, fv_size=None):
"""Makes fake data to warmup a partial fit process.
If no X is given, will return a random minimum_n_rows_to_fit x fv_size matrix (with values between 0 and 1)
If X is given, will repeat the rows in a cycle until the minimu... | 37,431 |
def check_integrity(signify: Dict[str, str], snapshot: Path, url: str) -> bool:
"""Check the integrity of the snapshot and retry once if failed files.
signify -- the signify key and a signify signed file with SHA256 checksums
snapshot -- the directory where the snapshot is stored
url -- the snapshots'... | 37,432 |
def exp_slow(b, c):
"""
Returns the value b^c.
Property: b^c = b * b^(c-1)
Parameter b: the number to raise to a power
Precondition: b is a number
Parameter c: the exponent
Precondition: c is an int >= 0
"""
# get in the habit of checking what you can
assert type(b) in [floa... | 37,433 |
def recur_gen3(a0,a1,a2,a3,a4,a5):
"""
homogeneous general third-order linear recurrence generator with
fixed coefficients
a(0) = a0, a(1) = a1, a(2) = a2, a(n) = a3\*a(n-1) + a4\*a(n-2) +
a5\*a(n-3)
EXAMPLES::
sage: from sage.combinat.sloane_functions import recur_gen3
sage: ... | 37,434 |
def test_parser_label():
"""Labels are correctly recognised"""
for command in _parser(["(label1)",
"(102)",
]):
assert command["instruction"] == "label"
assert isinstance(command["label"], str) | 37,435 |
def pick_theme(manual):
"""
Return theme name based on manual input, prefs file, or default to "plain".
"""
if manual:
return manual
pref_init()
parser = cp.ConfigParser()
parser.read(PREFS_FILE)
try:
theme = parser.get("theme", "default")
except (cp.NoSectionError, c... | 37,436 |
def ip2host(ls_input):
"""
Parameters : list of a ip addreses
----------
Returns : list of tuples, n=2, consisting of the ip and hostname
"""
ls_output = []
for ip in ls_input:
try:
x = socket.gethostbyaddr(ip)
ls_output.append((ip, x[0]))
except ... | 37,437 |
def process_all_content(file_list: list, text_path: str) -> Tuple[list, list]:
"""
Analyze the whole content of the project, build and return lists
if toc_items and landmarks.
INPUTS:
file_list: a list of all content files
text_path: the path to the contents folder (src/epub/text)
OUTPUTS:
a tuple containing ... | 37,438 |
def fuel(bot, mask, target, args):
"""Show the current fuel for Erfurt
%%fuel [<city> <value> <type>]...
"""
"""Load configuration"""
config = {
'lat': 50.9827792,
'lng': 11.0394426,
'rad': 10
}
config.update(bot.config.get(__name__, {}))
sort_type = 'all'
... | 37,439 |
def is_executable_binary(file_path):
"""
Returns true if the file:
* is executable
* is a binary (i.e not a script)
"""
if not os.path.isfile(file_path):
return False
if not os.access(file_path, os.X_OK):
return False
return is_binary(file_path) | 37,440 |
def findElemArray2D(x, arr2d):
"""
:param x: a scalar
:param arr2d: a 2-dimensional numpy ndarray or matrix
Returns a tuple of arrays (rVec, cVec), where the corresponding elements in
each are the rows and cols where arr2d[r,c] == x.
Returns [] if x not in arr2d. \n
Example: \n
arr2d =... | 37,441 |
def merge(cluster_sentences):
"""
Merge multiple lists.
"""
cluster_sentences = list(itertools.chain(*cluster_sentences))
return cluster_sentences | 37,442 |
def reverse_str(s: str) -> str:
"""Reverse a given string"""
# Python strings are immutable
s = list(s)
s_len = len(s)
# Using the extra idx as a temp space in list
s.append(None)
for idx in range(s_len // 2):
s[s_len] = s[idx]
s[idx] = s[s_len - idx - 1]
s[s_len - id... | 37,443 |
def readme():
"""Get text from the README.rst"""
with open('README.rst') as f:
return f.read() | 37,444 |
def exact_account(source_account_id):
"""
Get the BU id, OU id by the account id in dynamodb table.
"""
try:
response = dynamodb_table.get_item(Key={'AccountId': source_account_id})
except Exception as e:
failure_notify("Unable to query account id {0}, detailed exception {1}".format(... | 37,445 |
def test_catalog_to_markers_xy():
"""Test convert.catalog_to_markers using xy coords"""
helpers.disbale_tqdm()
helpers.setup(with_data=True)
out_dir = helpers.TEST_PATH
wcs_file = os.path.join(out_dir, "test_image.fits")
rows_per_col = np.inf
catalog_file = os.path.join(out_dir, "test_catal... | 37,446 |
def filter_output(output, regex):
"""Filter output by defined regex. Output can be either string, list or tuple.
Every string is split into list line by line. After that regex is applied
to filter only matching lines, which are returned back.
:returns: list of matching records
"""
resu... | 37,447 |
def carteiralistar(request):
"""
Metódo para retornar o template de listar carteiras
"""
usuario = request.user
try:
# Pega o objeto carteira se já existir
carteira = CarteiraCriptomoeda.objects.get(usuario=usuario)
# Pega a chave da API e o saldo
chave_api = carteira... | 37,448 |
def import_cson(ctx, filename, boostnote_json, workspace_id, folder_id):
"""Import a cson document from old Boostnote
"""
if workspace_id is None and folder_id is None:
print('error: either workspace id or folder id is required',
file=sys.stderr)
sys.exit(1)
if workspace_id is not None and folder_id is not... | 37,449 |
def test_chain_tuner_classification_correct(data_fixture, request):
""" Test ChainTuner for chain based on hyperopt library """
data = request.getfixturevalue(data_fixture)
train_data, test_data = train_test_data_setup(data=data)
# Chains for classification task
chain_simple = get_simple_class_chai... | 37,450 |
def scrub(text, stop_chars=DEFAULT_STOP_CHARS, reorder_chars=DEFAULT_REORDER_CHARS):
"""
Scrub text. Runs the relevant functions in an appropriate order.
"""
text = reorder_stop_chars(text, stop_chars=stop_chars, reorder_chars=reorder_chars)
text = remove_columns(text)
text = split_as_one_senten... | 37,451 |
def simulate_evoked_osc(info, fwd, n_trials, freq, label, loc_in_label=None,
picks=None, loc_seed=None, snr=None, mu=None,
noise_type="white", return_matrix=True,
filtering=None, phase_lock=False):
"""Simulate evoked oscillatory data based on a... | 37,452 |
def token_request():
"""
Request a Access Token from Vipps.
:return: A Access Token
"""
headers = config['token_request']
url = base_url + '/accesstoken/get'
response = requests.post(url, headers=headers)
return response.json() | 37,453 |
async def test_cancel_not_joined_yet():
"""
When we cancel the nursery, it hasn't been joined yet.
This should cancel it anyway.
"""
async def cleaner():
await asyncio.sleep(0.2)
Scope.get_current().cancel()
await asyncio.sleep(10)
before = time.time()
async with Sc... | 37,454 |
def train(args, train_dataset, model, tokenizer, labels, pad_token_label_id):
""" Train the model """
if args.local_rank in [-1, 0]:
tb_writer = SummaryWriter()
args.train_batch_size = args.per_gpu_train_batch_size * max(1, args.n_gpu)
train_sampler = RandomSampler(train_dataset) if args.local_... | 37,455 |
def get_gv(title, model_id, mojo_path):
""" Utility function to generate graphviz dot file from h2o MOJO using
a subprocess.
Args:
title: Title for displayed decision tree.
model_id: h2o model identifier.
mojo_path: Path to saved model MOJO (Java scoring artifact);
... | 37,456 |
def extract_tunneled_layer(tunnel_packet: scapy.layers.l2.Ether, offset: int, protocol: str):
"""
Extract tunneled layer from packet capture.
Args:
tunnel_packet (scapy.layers.l2.Ether): the PDU to extract from
offset (int): the byte offset of the tunneled protocol in data field of 'packet'... | 37,457 |
def draw_bbox(img, detections, cmap, random_color=True, figsize=(10, 10), show_text=True):
"""
Draw bounding boxes on the img.
:param img: BGR img.
:param detections: pandas DataFrame containing detections
:param random_color: assign random color for each objects
:param cmap: object colormap
... | 37,458 |
def print_total_eval_info(data_span_type2model_str2epoch_res_list,
metric_type='micro',
span_type='pred_span',
model_strs=('DCFEE-O', 'DCFEE-M', 'GreedyDec', 'Doc2EDAG'),
target_set='test'):
"""Print the final pe... | 37,459 |
def build_sentence_representation(s):
""" Build representation of a sentence by analyzing predpatt output.
Returns a weighted list of lists of terms.
"""
s = merge_citation_token_lists(s)
s = remove_qutation_marks(s)
lemmatizer = WordNetLemmatizer()
raw_lists = []
rep_lists = []
... | 37,460 |
def load_qconfig():
"""
Attemps to load the Qconfig.py searching the current environment.
Returns:
module: Qconfig module
"""
try:
modspec = importlib.util.find_spec(_QCONFIG_NAME)
if modspec is not None:
mod = importlib.util.module_from_spec(modspec)
... | 37,461 |
def scopus_serial_title(journal_title_list, apikey, d_path):
""" Scrape the SerialTitle
Args:
journal_title_list: A list of unique journal titles
apikey: the same key used for the search queries
d_path: output path for data
"""
print('************ Now Scraping Scopus for J... | 37,462 |
def create_glucose_previous_day_groups(day_groups: dict) -> dict:
"""
Create a dictionary of glucose subseries, unique to each day in the parent glucose series.
Subseries data of each dictionary item will lag item key (date) by 1 day.
Keys will be (unique dates in the parent series) + 1 day.
Values ... | 37,463 |
def mean_abs_scaling(series: pd.Series, minimum_scale=1e-6):
"""Scales a Series by the mean of its absolute value. Returns the scaled Series
and the scale itself.
"""
scale = max(minimum_scale, series.abs().mean())
return series / scale, scale | 37,464 |
def init_dmriprep_wf(
anat_only,
debug,
force_syn,
freesurfer,
hires,
ignore,
layout,
longitudinal,
low_mem,
omp_nthreads,
output_dir,
output_spaces,
run_uuid,
skull_strip_fixed_seed,
skull_strip_template,
subject_list,
use_syn,
work_dir,
):
""... | 37,465 |
def count_total_parameters():
"""
Returns total number of trainable parameters in the current tf graph.
https://stackoverflow.com/a/38161314/1645784
"""
total_parameters = 0
for variable in tf.trainable_variables():
# shape is an array of tf.Dimension
shape = variable.get_shape(... | 37,466 |
def create_gradient_rms_plot(sticher_dict: dict[str, GDEFSticher], cutoff_percent=8, moving_average_n=1,
x_offset=0, plotter_style: PlotterStyle = None) -> Figure:
"""
Creates a matplotlib figure, showing a graph of the root meean square of the gradient of the GDEFSticher objects ... | 37,467 |
def disp_img(img_arr):
"""Display an image from a numpy ndarray (height, width, channels)"""
img = Image.fromarray(img_arr)
img.show() | 37,468 |
def show_chart(graph: alt.Chart):
"""Wrapper function to ensure container width."""
st.altair_chart(graph, use_container_width=True) | 37,469 |
def reverse(ls: List[T]) -> List[T]:
"""
Reverses a list.
:param ls: The list to be reversed
:return: The reversed list
"""
for i in range(len(ls) // 2):
ls[i], ls[len(ls) - 1 - i] = ls[len(ls) - 1 - i], ls[i]
return ls | 37,470 |
def test_post_self_links(
app, client_with_login, location, minimal_community, headers
):
"""Test self links generated after post"""
client = client_with_login
#Creta a community
res = client.post(
'/communities', headers=headers,
json=minimal_community)
assert res.status_code =... | 37,471 |
def test_get_annotations_not_5(
test_gb_file, test_accession, coordination_args, monkeypatch
):
"""Test get_annotations when length of protein data is not 5."""
def mock_get_gb_file(*args, **kwargs):
gb_file = test_gb_file
return gb_file
def mock_get_record(*args, **kwargs):
re... | 37,472 |
def increment_with_offset(c: str, increment: int, offset: int) -> str:
""" Caesar shift cipher. """
return chr(((ord(c) - offset + increment) % 26) + offset) | 37,473 |
def uploadfiles():
"""
function to upload csv to db
:return: renders success.html
"""
# get the uploaded file
uploaded_file = request.files['filename']
if uploaded_file.filename != '':
csv_to_db(uploaded_file)
return render_template('success.html')
logging.info("No file u... | 37,474 |
def static_html(route):
"""
Route in charge of routing users to Pages.
:param route:
:return:
"""
page = get_page(route)
if page is None:
abort(404)
else:
if page.auth_required and authed() is False:
return redirect(url_for("auth.login", next=request.full_path... | 37,475 |
def checkLogExistence():
"""Checks to see if the CrashTrakr_Log file exists and creates it if it does
not."""
if not os.path.isfile("CrashTrakr_Log.txt"):
log_start=["LOG START @ {0}\n".format(str(datetime.datetime.now()))]
log_file = open("CrashTrakr_Log.txt", mode="wt", encoding="ut... | 37,476 |
def getCenterFrequency(filterBand):
"""
Intermediate computation used by the mfcc function.
Compute the center frequency (fc) of the specified filter band (l)
This where the mel-frequency scaling occurs. Filters are specified so that their
center frequencies are equally spaced on the mel scale
"... | 37,477 |
def phi_analytic(dist, t, t_0, k, phi_1, phi_2):
""" the analytic solution to the Gaussian diffusion problem """
phi = (phi_2 - phi_1)*(t_0/(t + t_0)) * \
numpy.exp(-0.25*dist**2/(k*(t + t_0))) + phi_1
return phi | 37,478 |
def getAll():
"""
init
"""
with open(ipLocationCache, "r", encoding="utf-8") as target:
global cache
cache = json.load(target) | 37,479 |
def get_home_timeline(count=None, since_id=None, max_id=None, trim_user=None,
exclude_replies=None, include_entities=None, tweet_mode=None):
"""
Returns a collection of the most recent Tweets and retweets
posted by the authenticating user and the users they follow.
:param coun... | 37,480 |
def get_changed_files(base_commit: str, head_commit: str,
subdir: str = '.'):
""" Get the files changed by the given range of commits. """
cmd = ['git', 'diff', '--name-only',
base_commit, head_commit, '--', subdir]
files = subprocess.check_output(cmd)
return files.decod... | 37,481 |
def geometric_median(X, eps=1e-5):
"""
calculate the geometric median as implemented in https://stackoverflow.com/a/30305181
:param X: 2D dataset
:param eps:
:return: median value from X
"""
y = np.mean(X, 0)
while True:
D = cdist(X, [y])
nonzeros = (D != 0)[:, 0]
... | 37,482 |
def cprint(*strings):
"""
compile all given strings and print them
"""
print(*map(compile, strings)) | 37,483 |
def test_find_pyproject_toml():
"""
Automatically find a pyproject.toml within the current current working directory.
"""
# .parent == tests/, .parent.parent == repo root
expected_pyproject_path = Path(__file__).parent.parent / "pyproject.toml"
# We want to find the pyproject.toml for THIS pro... | 37,484 |
def distance(bbox, detection):
"""docstring for distance"""
nDetections = detection.shape[0]
d = np.zeros(nDetections)
D = detection - np.ones([nDetections,1])*bbox
for i in xrange(nDetections):
d[i] = np.linalg.norm(D[i],1)
return d | 37,485 |
def _read_float(line: str,
pos: int,
line_buffer: TextIO
) -> Tuple[float, str, int]:
"""Read float value from line.
Args:
line: line.
pos: current position.
line_buffer: line buffer for nnet3 file.
Returns:
float value, line string and current pos... | 37,486 |
def psd_explore(
data_folder,
channel_index,
plot=True,
relative=False,
reverse=False,
export_to_csv=False):
"""PSD Explore.
This assumes use with VR300 for the AD Feedback experiment.
data_folder: path to a BciPy data folder with raw data and triggers
c... | 37,487 |
def pk_to_p2wpkh_in_p2sh_addr(pk, testnet=False):
"""
Compressed public key (hex string) -> p2wpkh nested in p2sh address. 'SegWit address.'
"""
pk_bytes = bytes.fromhex(pk)
assert is_compressed_pk(pk_bytes), \
"Only compressed public keys are compatible with p2sh-p2wpkh addresses. See BIP49... | 37,488 |
def remove_imaginary(pauli_sums):
"""
Remove the imaginary component of each term in a Pauli sum
:param PauliSum pauli_sums: The Pauli sum to process.
:return: a purely hermitian Pauli sum.
:rtype: PauliSum
"""
if not isinstance(pauli_sums, PauliSum):
raise TypeError("not a pauli su... | 37,489 |
def test_post_method_not_allowed_on_subscribers_api(flask_app):
"""Test Depot not known yet.
Verify that post method is not allowed on IMEI-Pairings API.
"""
rv = flask_app.post(url_for('v2.imei_get_subscribers_api', imei='64220297727231'))
assert rv.status_code == 405
assert b'The method is no... | 37,490 |
def log_sigmoid_deprecated(z):
"""
Calculate the log of sigmod, avoiding overflow underflow
"""
if abs(z) < 30:
return np.log(sigmoid(z))
else:
if z > 0:
return -np.exp(-z)
else:
return z | 37,491 |
def roty(t):
"""Rotation about the y-axis."""
c = np.cos(t)
s = np.sin(t)
return np.array([[c, 0, s], [0, 1, 0], [-s, 0, c]]) | 37,492 |
def ranks_to_metrics_dict(ranks):
"""Calculates metrics, returns metrics as a dict."""
mean_rank = np.mean(ranks)
mean_reciprocal_rank = np.mean(1. / ranks)
hits_at = {}
for k in (1, 3, 10):
hits_at[k] = np.mean(ranks <= k)*100
return {
'MR': mean_rank,
'MRR': mean_reciprocal_rank,
'hi... | 37,493 |
def bias_correction(input_data, output_filename='', mask_filename='', method="ants", command="/home/abeers/Software/ANTS/ANTs.2.1.0.Debian-Ubuntu_X64/N4BiasFieldCorrection", temp_dir='./'):
""" A catch-all function for motion correction. Will perform motion correction on an input volume
depending on the 'm... | 37,494 |
def execute_sql(
connection: psycopg2.extensions.connection,
sql_query: str,
data: Union[dict, tuple],
commit=True,
) -> None:
"""
Execute and commit PostgreSQL query
Parameters
----------
connection : psycopg2.extensions.connection
_description_
sql_query : str
... | 37,495 |
def randperm2d(H, W, number, population=None, mask=None):
"""randperm 2d function
genarates diffrent random interges in range [start, end)
Parameters
----------
H : {integer}
height
W : {integer}
width
number : {integer}
random numbers
population : {list or num... | 37,496 |
def get_engine(db_credentials):
"""
Get SQLalchemy engine using credentials.
Input:
db: database name
user: Username
host: Hostname of the database server
port: Port number
passwd: Password for the database
"""
url = 'postgresql://{user}:{passwd}@{host}:{port}/{db}'.format(
... | 37,497 |
def numpy_to_vtkIdTypeArray(num_array, deep=0):
"""
Notes
-----
This was pulled from VTK and modified to eliminate numpy 1.14 warnings.
VTK uses a BSD license, so it's OK to do that.
"""
isize = vtk.vtkIdTypeArray().GetDataTypeSize()
dtype = num_array.dtype
if isize == 4:
if... | 37,498 |
def denormalize_ged(g1, g2, nged):
"""
Converts normalized ged into ged.
"""
return round(nged * (g1.num_nodes + g2.num_nodes) / 2) | 37,499 |
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