content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def copy_analysis_project(project,fastq_dir=None):
"""
Make a copy of an AnalysisProject instance
Arguments:
project (AnalysisProject): project intance to copy
fastq_dir (str): if set then specifies the Fastq
subdirectory to use in the new instance
Returns:
AnalysisProject: n... | 31f3abb44f41b886bca02098ff616f2daa25b5e6 | 3,596,393 |
def get_native_backend_config_dict():
""" Get backend_config_dict for PyTorch Native backend (fbgemm/qnnpack). """
return {
# optional
"name": "native",
"configs": [
*_DEFAULT_OP_INT8_CONFIGS,
*_get_linear_configs(),
*_get_conv_configs(),
*... | a613e32dafce598020ff2bb93cd14d195fcd615c | 3,596,395 |
from typing import List
from typing import Dict
from typing import Tuple
from pathlib import Path
def create_structure(structure: List, options: Dict, prefix=None) -> Tuple[List, Dict]:
"""Creates a directory structure in the file system.
"""
if prefix is None:
# pathlib.Path can handle filesyste... | 92addf65855d3fe7640a7e557bf38c78d951e8e6 | 3,596,396 |
def stepper(library, keep,
step_tag, new_step_input_file,
input_file_dict, new_step_name, new_step_output_arg,
additional_input=None, organism='human', no_output=False, tag=''):
"""This functions packs the core of wfr check, for a given workflow and set of
input files, it wi... | 0972fdaf21c8b30036a57a0e2ae1e15d6fe277b7 | 3,596,397 |
import copy
def return_prim_graph (dag, innodes, outnodes):
""" remove input and output nodes from a graph """
G_primitive = copy.deepcopy(dag)
nonprims = innodes+outnodes
for node in nonprims:
if node in dag.nodes():
G_primitive.remove_node(node)
return G_primitive | e59fcfcb5796739cc940f6052e56aa5a4837fd47 | 3,596,398 |
def circle_3p(A, B, C):
"""get center and radius of a circle given 3 points in space"""
a = np.linalg.norm(C - B)
b = np.linalg.norm(C - A)
c = np.linalg.norm(B - A)
s = (a + b + c) / 2
R = a*b*c / 4 / np.sqrt(s * (s - a) * (s - b) * (s - c))
b1 = a*a * (b*b + c*c - a*a)
b2 = b*b * (a*a ... | 7cc90426447a0da119dbd6c6e61dfc8e68e8be79 | 3,596,399 |
from typing import Any
def _format_value(value: Any) -> str:
"""Internal function for formatting values."""
value = base.to_numpy(value)
if isinstance(value, (float, np.number)):
return f'{value:0.3f}'
return f'{value}' | f57ed7839c1d4dabe5adc6889bb2e48250801f61 | 3,596,400 |
def create_context(system, integrator, platform=None):
"""Create a Context.
If platform is None, GLOBAL_ALCHEMY_PLATFORM is used.
"""
if platform is None:
platform = GLOBAL_FORCES_PLATFORM
if platform is not None:
context = openmm.Context(system, integrator, platform)
else:
... | 75b99862875efd3ef6147b3334c2ed0459a6de11 | 3,596,401 |
def normalize_key(key: t.Sequence[str]) -> SettingKey:
"""Normalizes a key value into a tuple of strings.
The given key can be a string or a sequence of strings. An empty string
or iterable will result in an empty tuple, representing the root of the
setting tree.
Args:
key: String or itera... | c503abfcf2ca6155c6f28921cebe06a5e0cfd146 | 3,596,402 |
def witchingHoursDF(symbol="", **kwargs):
"""This is when option contracts and futures contracts expire on the exact same day.
https://iexcloud.io/docs/api/#witching-hours
Args:
symbol (str): symbol to use
"""
return _baseDF(
id="PREMIUM_WALLSTREETHORIZON_WITCHING_HOURS", symbol=sym... | a8bedc98ad45dfb91d7d20a61471111d65127856 | 3,596,403 |
import re
def convert_doctoc(html):
"""
Convert doctoc to confluence macro
:param html: html string
:return: modified html string
"""
toc_tag = '''<p>
<ac:structured-macro ac:name="toc">
<ac:parameter ac:name="printable">true</ac:parameter>
<ac:parameter ac:name="style">disc<... | b2a52126d6a234894dcf6f98f0d399c309587a7e | 3,596,404 |
def flip_case(phrase, to_swap):
"""Flip [to_swap] case each time it appears in phrase.
>>> flip_case('Aaaahhh', 'a')
'aAAAhhh'
>>> flip_case('Aaaahhh', 'A')
'aAAAhhh'
>>> flip_case('Aaaahhh', 'h')
'AaaaHHH'
"""
return ''.join(letter.lower() if letter.lower... | ab3a18249e882bb0e8fda35a903048a20bd667e6 | 3,596,405 |
def batch_multiclass_non_max_suppression(
boxes, scores,
score_threshold, iou_threshold,
max_boxes_per_class, num_classes):
"""Same as multiclass_non_max_suppression but for a batch of images.
Arguments:
boxes: a float tensor with shape [batch_size, N, 4].
scores: a floa... | 8e24e34f5846fc27002080b80cf5ed8405aa3d15 | 3,596,406 |
def apply_class_label_replacement(X, Y, replacement_method):
"""
Replace class labels using the replacement method
:param X: data features
:type X: numpy.Array()
:param Y: data labels
:type Y: numpy.Array()
:param replacement_method: Method to update targets
:type replacement_method: me... | eac01d31ff63e39d8c203803ae14c08365ec20a5 | 3,596,407 |
from typing import Tuple
from typing import List
def get_series_ids(series_term: str, num: int) -> Tuple[List[str], List[str]]:
"""Get Series IDs. [Source: FRED]
Parameters
----------
series_term : str
Search for this series term
num : int
Maximum number of series IDs to output
... | 5717b16f4cae1e4478309e7916472908f755968e | 3,596,408 |
import torch
def nt_xent_loss(out_1, out_2, temperature):
"""
Loss used in SimCLR
"""
out = torch.cat([out_1, out_2], dim=0)
n_samples = len(out)
# Full similarity matrix
cov = torch.mm(out, out.t().contiguous())
sim = torch.exp(cov / temperature)
# Negative similarity
mask =... | 6634e42f540835f5a45c4812e54455d0328b6ec2 | 3,596,409 |
def fromScopus(scopus_author):
"""Fetch all publications associated with Scopus author
Parameters
----------
scopus_author : AuthorRetrieval
Scopus author retrieval object (scopus.author_retrieval.AuthorRetrieval)
Returns
-------
bibs : list
List of Scopus search publi... | 88aeca0f28af9ca3256e77f6e77207ffb51cefa0 | 3,596,410 |
def init_containers():
"""Initialized containers
"""
cont_p_re = qr.TwoDSpectrumContainer()
cont_p_re.use_indexing_type("integer")
cont_p_nr = qr.TwoDSpectrumContainer()
cont_p_nr.use_indexing_type("integer")
cont_m_re = qr.TwoDSpectrumContainer()
cont_m_re.use_indexing_type("integer")... | d39e08d7812da4a5c7db73d32e3a749e4080e43d | 3,596,411 |
def list_to_string(list_objects, obj: DataGetter = None):
"""
This function formats list of an objects into single string.
"""
return ', '.join(map(lambda x: str(x), list_objects)) | 809df4a48a5a37b8f39b779c4867ac1afc8d4291 | 3,596,412 |
def create_klr_model(kernelized_features=4096, kernelized_scale=10., only_digits=True):
"""Create a Kernelized Logistic Linear Model (for federated)
When `only_digits=True`, the summary of returned model is
Model: "sequential"
Args:
only_digits: A boolean that determines whether to only use the digits in... | 8d8097f9dfa1107d0474f2205a45bb3a7489d035 | 3,596,413 |
def alexnet_owt(inputs, training):
"""Alexnet One Weird Trick model
https://arxiv.org/abs/1404.5997
"""
builder = nvutils.LayerBuilder(tf.nn.relu, args['image_format'], training)
# Note: VALID requires padding the images by 3 in width and height
x = inputs
x = builder.conv2d(x, 64, 11, 4, 'V... | d2bc0ff53f6bc2cb7ab628a999babdd573988d98 | 3,596,414 |
def simple_gre_packet(pktlen=300,
eth_dst='00:01:02:03:04:05',
eth_src='00:06:07:08:09:0a',
dl_vlan_enable=False,
vlan_vid=0,
vlan_pcp=0,
dl_vlan_cfi=0,
ip_src='192.1... | 277077d65f6cad11276df274d27d9619a3e5eb00 | 3,596,415 |
import mimetypes
import google
def inspect_file(project, filename, info_types, min_likelihood=None,
max_findings=None, include_quote=True, mime_type=None):
"""Call Data Loss Prevention API to analyze a file for protected data.
Args:
project: The GCP project id to use as a parent reso... | b5cd12707d47f9b123c4254cd03b9371c9ab9a5f | 3,596,416 |
import functools
def lru_iter_cache(func=None, *, maxsize=128, cache=None):
"""Decorator to wrap a function returning iterables
If maxsize is 0, no caching will be done. If maxsize is None, the cache
will be unbounded.
See LRUIterableCache for more info.
"""
if func is None:
return ... | 4e64a85cc82c95e9f7f80c379a3f115cbb565014 | 3,596,419 |
def CV_IS_SEQ_CURVE(*args):
"""CV_IS_SEQ_CURVE(CvSeq seq) -> int"""
return _cv.CV_IS_SEQ_CURVE(*args) | 383559d92a59f8f681016f6fe712d20967c7bbc4 | 3,596,420 |
import unittest
def create_part_b_testcase_class():
"""
Class factory function which creates new subclasses to JmsMessageTypeTestCase. Creates a test case class for
a single JMS message type containing a combination of JMS headers
"""
def __repr__(self):
"""Print the class name"""
... | d32658b7a388b08da025fdf02b9257d6dd0b5c5e | 3,596,421 |
import yaml
def yaml_parse(yaml_dict):
"""Convert from YAML to python.
Args:
yaml_dict: Absolute or relative file address.
Returns:
dict: Returns the python dictionary.
"""
yaml_file = open_file(yaml_dict)
return yaml.safe_load(yaml_file) | 70d4d75d9a399e081eec27d6b9ed72e6fe78c6f7 | 3,596,422 |
def W(H) -> int:
""" Default image width (equal to height) """
return H | 4b3fdaaba9f5100096ca1ebbc22442de21b34ad5 | 3,596,425 |
def func(x,*args):
"""evaluate function L=sum_{samples}[E(pmd)-E(ref)]^2.
This will be called from scipy.optimize.fmin_cg().
The 1st argument x should be 1-D array of variables.
"""
global _valmin
t0= time.time()
#.....write parameters to in.params.????? file
dir= args[0]
... | 343295b15bae220f983ad73a3a86612d81943a69 | 3,596,426 |
def decode_mobile_platform_type(platform_type):
"""Return the MpnPlatformType corresponding to the provided token."""
if platform_type == NULL_VALUE:
return None
if platform_type == EMPTY_VALUE:
return ''
if platform_type in [c.value for c in MpnPlatformType]:
return MpnPlatfor... | 15d35693270416e6a19c66c390c5bb2625cea417 | 3,596,427 |
def _evalPoint2LineDistAndParmam( data , coef ) :
""" Evaluates distance of a point from line and parameter of
the closest line's ponit (projection) .
The line is given by the coeficients (a,b,c,dx,dy,x0,y0).
The distance is calculated as
d(x,y) = a*x + b*y + c
The p... | 8573e5fe5a4f3998bd58ec01fb2555f489afce71 | 3,596,428 |
def compute_model(mri, grid, morphology={}, functional={}):
"""Mmake the full morphology and functional models (if present).
Parameters
----------
mris : dict
fields "dura" (necessary), "pial" (optional), "func" (optional)
grid3d : (n_rows, n_cols) array
3d grid with positions and n... | b4c702772a79e5f7cfb173b495905e6d7ca5f11b | 3,596,429 |
import re
import logging
def metasysid_to_real_estate(metasysid: str) -> str:
"""Takes something like 'GP-SXD9E-113:SOKP16-NAE4/FCB.434_121-1OU001.VAVmaks4'
and spits out 'kjorbo' using BUILDING_MAP (dict)
This is used when we push data into the Bas API.
"""
try:
rx = re.compile('^([^:]... | 2ca6077dcea4076b10280eebc667b54022086505 | 3,596,430 |
import ast
def _astnode(s):
"""Return a Python ast Node compiled from a string."""
try:
except ImportError:
# Fallback to eval when ast package is not available,
# e.g. IronPython 1.0.
return eval(s)
p = ast.parse("__tempvalue__ = " + s)
return p.body[0].value | 4843819c072738db6543ffb89f182526f46513ef | 3,596,431 |
def sort_words(event_window, args, result_file=None):
"""
Sort words based on the assigned weight
parameters
-----------
:param event_window: object
EventWindow object
:param args: JSON
JSON of arguments
:param result_file: str, optional
File path to save weight deta... | 8e7715fbc345a34272444a8203c7f5f5eb648bb5 | 3,596,432 |
def get_CHAM_instance(CHAM_instance):
"""Return an instance of the CHAM family as a `Cipher`."""
if CHAM_instance == CHAMInstance.CHAM_64_128:
default_rounds = 80
n = 64
kappa = 128
w = 16
elif CHAM_instance == CHAMInstance.CHAM_128_128:
default_rounds = 80
n ... | b884ca80bc91fc6300d1a0005185316eabf09324 | 3,596,434 |
def _get_config_kwarg_overrides():
"""Returns overrides to the configs that insert the correct local paths."""
data_path = _get_data_path()
label_map_path = _get_labelmap_path()
return {
'train_input_path': data_path,
'eval_input_path': data_path,
'label_map_path': label_map_path
} | bb3d54b1b5ecab3bb22f2db23c756b7ce3e4a5e4 | 3,596,435 |
def intersection(boxes1, boxes2):
"""Compute pairwise intersection areas between boxes.
Args:
boxes1: a numpy array with shape [N, 4] holding N boxes
boxes2: a numpy array with shape [M, 4] holding M boxes
Returns:
a numpy array with shape [N*M] representing pairwise intersection area
... | b395f1a8f9b1b3b900c373e23aa03d14e6d58fb0 | 3,596,436 |
import math
def _spherical_to_euler(angles):
"""Convert angles from spherical coordinates to Euler angles."""
pol = angles[..., 0]
az = angles[..., 1]
el = math.pi / 2.0 - pol # Polar angle to elevation [-pi/2, pi/2].
euler_z = az # Azimuthal angle = rotation of base waveform about z axis.
euler_y = el ... | 6de9142a0a0e275613737c1809f72de1d86cd293 | 3,596,438 |
import yarl
def _async_get_external_url(
hass: HomeAssistant,
*,
allow_cloud: bool = True,
allow_ip: bool = True,
prefer_cloud: bool = False,
require_ssl: bool = False,
require_standard_port: bool = False,
) -> str:
"""Get external URL of this instance."""
if prefer_cloud and allow... | 61634c4216bf95cc2dbf4aae144400fad9cbd042 | 3,596,440 |
def hit_boundary(model):
"""Returns True if any Fitted objects are close to their min/max value"""
components_list = [model.get_dependence("drift"),
model.get_dependence("noise"),
model.get_dependence("bound"),
model.get_dependence("IC"),
... | c93e4f018571e24add68071b0373c1525f5d6513 | 3,596,442 |
from typing import Tuple
from typing import List
def generate_2_pos_cycs() -> Tuple[Graph, List[Node]]:
"""
generate a graph with a single node returning to itself with value 2
:return: Graph, nodes
"""
s0 = Node(0)
s1 = Node(1)
s2 = Node(2)
s3 = Node(3)
s4 = Node(4)
s5 = Node(... | 33623f8db2e04ac489b874fbb6d8c8419ec002e6 | 3,596,443 |
import time
def main(path, task, n_trials, test_set_size, use_rmse_conf, kernel, N):
"""
:param path: str specifying path to dataset.
:param task: str specifying the task. One of ['Photoswitch', 'ESOL', 'FreeSolv', 'Lipophilicity']
:param n_trials: int specifying number of random train/test splits to ... | f3f4d1ba3f78686618a2a85fb461d019976be8f2 | 3,596,444 |
def org_commits_by_day(df_raw):
"""Returns all commits with a count and a date index by day"""
odf_day = df_raw.resample('D').sum()
return odf_day | bb003b8ce1a0a28e632cfc78ffa3483359259e49 | 3,596,445 |
def make_queue_name(mt_namespace, handler_name):
"""
Method for declare new queue name in channel. Depends on queue "type",
is it receive event or command.
:param mt_namespace: string with Mass Transit namespace
:param handler_name: string with queue time. MUST be 'command' or 'event'
:return: ... | f74a7be8bf46a56f760b087fe47c9eda58d9f51e | 3,596,446 |
def load_dataset(dataset):
""" Return the specified dataset. """
if dataset == "uci7" :
data = load_uci(7)
elif dataset == "uci10" :
data = load_uci(10)
elif dataset == "uci7robustinf" :
data = load_uci(7, add_labels_as_views=True)
elif dataset == "uci10robustinf" :
... | 90eb325c89454172ee7e81943b165e85e15babd2 | 3,596,447 |
import requests
def usgs_query_call(lat, lon):
"""
Build and run the query to the USGS API endpoint
"""
URL = 'https://nationalmap.gov/epqs/pqs.php'
lat = str(lat)
lon = str(lon)
UNITS = 'feet'
OUTPUT = 'json'
query = '{url}?x={lon}&y={lat}&units={units}&output={output}'.format(
... | 182a155882e9155a44da76134711b33fbb9252cb | 3,596,448 |
def apply_transform(matrix, image, params):
"""
Apply a transformation to an image.
The origin of transformation is at the top left corner of the image.
The matrix is interpreted such that a point (x, y) on the original image is moved to transform * (x, y) in the generated image.
Mathematically sp... | 529b7b52eda8e24e1d13109903ad29c87686db10 | 3,596,450 |
from datetime import datetime
def _make_link_from_row(row):
"""Build a link from a database row
Parameters
row -- A single row from the database
"""
markdown_ext = ('markdown.extensions.tables', 'markdown.extensions.fenced_code', 'markdown.extensions.nl2br', 'markdown_checklist.extension')
raw_desc = row['de... | 025bdeb1ed9a9b2d3b181ee824ada84ab57ea4f5 | 3,596,452 |
import math
def prime(n):
"""returns true if prime number, false otherwise"""
if n<2:
return False
return sum(map(divides(n), range(2, int(math.sqrt(n))+1))) == 0
"""
def mod(x):
if(n % x!=0):
return 0 #if there is a remainder return false
return 1
... | 1d21b94abae66644ba9dcd7694d0462ecddc79d3 | 3,596,453 |
import re
from datetime import datetime
def parse_sms(text: str) -> dict:
"""
Parses SMS using re, example of a valid SMS (only sberbank is supported ATM):
VISA1234 21.12.16 22:12
зачисление зарплаты 12345.57р
Баланс: 16063.28р
"""
sms_data = {}
sms_pattern = re.compile(r'''
# mat... | d8096b79558031b57d5df1e70d76a107e787807b | 3,596,454 |
def _query_profile_body(selected_query) -> dcc.Markdown:
""" Returns the formatted SQL body of the selected query. """
# Build query body in markdown code block
query_code = " ``` \n " + selected_query.source.body + " \n ```"
return dcc.Markdown(query_code) | 2f67790546c4ea833bf6784a18ee7a879647b8e5 | 3,596,455 |
def facility():
"""
e.g. Training Venues
"""
# Open record in this controller after creation
s3db.configure("org_facility",
create_next = URL(c="vol", f="facility",
args = ["[id]", "read"],
),
... | cec8a56e4edd4c6add5cce897c303f8b76084961 | 3,596,456 |
def _fix_cookiecutter_jinja_var(value, replace='cookiecutter.'):
"""Remove 'cookiecutter.' string from 'cookiecutter.varname' jinja strings
Can be used to remove different substrings as well by passing a string
to the optional ``replace`` parameter.
:param value: The string value within which to repla... | fc04d36a368fe7dd8c21a8dd3abe46f60d4d3d5e | 3,596,457 |
import types
from typing import Optional
def get_column(record_batch: pa.RecordBatch,
feature_name: types.FeatureName,
missing_ok: bool = False) -> Optional[pa.Array]:
"""Get a column by feature name.
Args:
record_batch: A pa.RecordBatch.
feature_name: The name of a feature ... | cbf23170079e42bb097801616b9a72d5d41b59b9 | 3,596,458 |
def oracle(data, target):
""" fake metric data generator
"""
loss = np.random.rand()
acc1 = np.random.rand() + 70
acck = np.random.rand() + 90
return loss, acc1, acck | b9fa8d75d5f1aef9b89879bfbd4fca931048c905 | 3,596,460 |
import json
def get():
"""
获取推荐结果
:return: 推荐结果
"""
test_set=filter_json(JSON_LIST)
res = system.result(test_set,5)
def _filter(j):
"""
将comment_list弄成字符串
"""
nj = j.copy()
nj["comment_list"] = "|".join(nj["comment_list"])
return nj
return json.dumps(
[ _filter(JSON_LIST[i]) for i in res]
) | 1d275414d4d5126fdc707fb3694d751b239a3ba4 | 3,596,461 |
def flatten_dict(row, keys=[('title',),
('street', 'city', 'postalCode')]):
"""Flatten a dict by concatenating string values
of matching keys.
Args:
row (dict): Data to be flattened
Returns:
flat (str): Concatenated data.
"""
flat = '' # The output d... | b4bafb0ec19a19d4223d7e9a94e3b8630cad1066 | 3,596,463 |
import logging
import torch
def keyword_model(key, model, input_dir, fake=False, args=None):
"""Train a model for given keyword
Args
----
key : str
target keyword to train
model : str
model name to train
input_dir : str
root directory to load data
fake : bool
... | ac95fa02b6518e8d532caf90676351fae66df720 | 3,596,464 |
import math
def rotation_matrix(axis, theta):
"""
Return the rotation matrix associated with counterclockwise rotation about
the given axis by theta radians.
"""
axis = np.asarray(axis)
axis = axis/math.sqrt(np.dot(axis, axis))
a = math.cos(theta/2.0)
b, c, d = -axis*math.sin(theta/2.0... | db31590590a82bbe3e38f316b42deed221213a74 | 3,596,465 |
from typing import Dict
import json
def _get_summary_fnames(cache=True) -> Dict[str, str]:
"""
Returns {filename: download_url}
"""
_cache = _get_cache()
p = _cache / "summaries.json"
if not p.exists():
fnames = _web._get_summary_fnames_web()
with open(str(p), "w") as f:
... | 729c4895900a799b40ff028245b935697a66ba81 | 3,596,466 |
from evennia.scripts.taskhandler import TASK_HANDLER as _TASK_HANDLER
def delay(timedelay, callback, *args, **kwargs):
"""
Delay the return of a value.
Args:
timedelay (int or float): The delay in seconds
callback (callable): Will be called as `callback(*args, **kwargs)`
after... | 9acb1a2675f5b9488cb89c56e391e0cb1cb15ad1 | 3,596,467 |
import ast
def mock_LocIdx():
"""Mock Single Location Index, not a valid target member of file."""
return LocIndex(ast_class="BinOp", lineno=1, col_offset=2, op_type=ast.Add) | 8ee707a9c5dcca8fb633476fd1c3d996d75466cd | 3,596,468 |
import re
def task_dependencies_from_dotfile(stream):
"""
Read programme task specified in dot file format
"""
decorator_regex = re.compile(r"([a-z_]+) *(\(.*)")
attributes_regex = re.compile(r"\[.*\]")
which_task_follows = defaultdict(list)
task_decorators = defaultdict(list)
ta... | d995b615c7aaf49c17e0065366ebf53aafa163ef | 3,596,469 |
from re import S
def sim_sir_df(
p) -> pd.DataFrame:
"""Simulate the SIR model forward in time.
p is a Parameters instance. for circuluar dependency reasons i can't annotate it.
"""
return pd.DataFrame(
data=gen_sir(S, total_infections, recovered, beta, gamma, n_days),
columns=("S... | ad0d5a8de1cdb2c87e14a55f9f234c3a2faa6972 | 3,596,470 |
def hill_formula(comp: Composition) -> str:
"""
:return: Hill formula. The Hill system (or Hill notation) is a system
of writing empirical chemical formulas, molecular chemical formulas and
components of a condensed formula such that the number of carbon atoms
in a molecule is indicated first, the n... | 70fce0bcdbaa26462e087bd2bffb0971b4f8abae | 3,596,472 |
def create_codeable_concept(system: str, code: str, display = None) -> dict:
"""
Create codeable concept following the FHIR format
(http://www.hl7.org/implement/standards/fhir/datatypes.html#CodeableConcept)
"""
return ({
"coding": [create_coding(system, code, display)]
}) | 8d5b66f4344585dd26421a1570498eac2662a27c | 3,596,473 |
def sam_flag_check(query, subject):
"""
Check two numbers, query (for filtering) in subject or not
convert to binary mode
q: 0000010 (2)
s: 1011011 (91)
q in s
range: 0 - 2048 (SAM flag)
"""
def to_bin(n):
return '{0:012b}'.format(n)
# convert to binary mode
q = to... | 939109ad1c1668327cb4af4fcada818cea4653f4 | 3,596,474 |
def cosine_similarity(array1, array2):
"""Function to input two arrays and calculate the cosine similarity.
Args:
array1 (ndarray): Values for first vector. Note: will try to coerce into ndarray.
array2 (ndarray): Values for second vector. Note: will try to coerce into ndarray.
Returns:
... | 0df7bf801fdec209e358ee057bcaaba9a07d8584 | 3,596,476 |
import requests
def get_image_workdir(hostname, image, tag, token=None):
"""Query the docker API to get the workdir of an image."""
headers = {
"Accept": "application/vnd.docker.distribution.manifest.v2+json",
}
if token is not None:
headers["Authorization"] = f"Bearer {token}"
try... | 019da9bc2c841d0033b865019d2df46bf82fc3b1 | 3,596,477 |
from typing import Tuple
def string_choice_or_blank(card: BDFCard, ifield: int, fieldname: str, choices: Tuple[str], default=None):
"""
Parameters
----------
card : BDFCard()
BDF card as a list
ifield : int
field number
fieldname : str
name of field
default : str, N... | 4c86585e7f4299f1f6b4fa0f720aaf8ca321f2bf | 3,596,478 |
def draw_world(arm, ax, theta1, theta2, obstacles, obstacle_colors,
show_obstacles=True, show_angles=False):
"""
Returns a tuple with the three handles necessary to update the graph
dynamically.
"""
if show_obstacles:
for i, obstacle in enumerate(obstacles):
xs, y... | bd175b89bbc7ca4c5ce43f1a5b39937f166c5281 | 3,596,479 |
import string
def get_range_to_here_hashes(repo, start):
"""Return a list of strings corresponding to commits from 'start' to here.
The list begins with the revision closest to but not including 'start'.
Raise a ValueError if any of the returned values are not valid hexadecimal.
:repo: a callable su... | 41a8795f489d1646ba48366c791308a6d1435b3e | 3,596,480 |
import random
def api_random():
"""GET random quote"""
return random.choice(quotes) | 9fb2dce438b2e0a1a37171e7848ac2b1d0e03b6a | 3,596,481 |
def get_energy(W, b, s, beta=1.):
"""returns the energy of a state in a boltzmann machine"""
return -1. * beta * (0.5 * np.dot(s.T, np.dot(W, s)) + np.dot(b, s)) | 3948a9590b0ef06b0c1a7e4ac547ead24c9e16e8 | 3,596,482 |
def init_app(name, module="aops"):
"""
Init application
Args:
name(str)
Returns:
app
configuration
"""
module_name = '_'.join([module, name])
app = Flask(name)
module = __import__(module_name, fromlist=[module_name])
for blue, api in module.BLUE_POINT:
... | 710296c76e8d94d883710dc85c68cc597b02b60f | 3,596,484 |
def softmax(Z):
"""Softmax operator.
Parameters
----------
Z : ndarray, shape (m, n)
input vectors.
Returns
-------
ndarray, shape (m, n)
data after the softmax has been applied to each row.
"""
_check_size("mn", Z)
# Subtracting the maximum improves numerical... | 81edb6f4e5335db6ee35c2af80ba0f271af0fc77 | 3,596,485 |
def concatenate_features(df, feat1, feat2):
"""
Make a dataframe of feat1, feat2 and the two concatenated into one string
"""
feat1_feat2_combo_list = make_combinations(df, feat1, feat2)
feat1_feat2_combo_df = pd.DataFrame(feat1_feat2_combo_list, columns=[feat1, feat2])
feat1_feat2_combo_df[... | acf466e73a3bd5f57636e85d3f7c85148bf8696b | 3,596,486 |
from datetime import datetime
async def app_factory():
"""
App Factory
:return:
"""
# init db if necessary
await init_db(config=config)
# Database connection
mongodb_connection_string = (
f"mongodb://{config['database']['admin_username']}:{config['database']['admin_passwor... | 4ff18c2ad16c35ed3684aa4cf638317875df6f5f | 3,596,487 |
def hash_MD5(data):
""" Shortcut function to directly receive the hex digest from MD5(data)."""
h = MD5()
if isinstance(data, str):
data = bytes(data, encoding='utf8')
h.update(data)
return h.hexdigest() | 80b894c2ac2f8bd4a25efee03ce32c988d536f78 | 3,596,488 |
def pull_request_url(pull_request_number):
"""Returns a GitHub pull request URL given a PR number."""
return '{base}/{pr}'.format(
base=GITHUB_URL,
pr=pull_request_number) | d47e5597f6229f4580bf3e95e2a07b5c5912b554 | 3,596,491 |
def _ExtractKeyValueFromLabel(label):
"""Extracts key and value from label like 'key=value'.
Args:
label: str, the label to extract key and values, i.e. 'foo=buz'.
Returns:
(k, v): k is the substring before '=', v is the substring after '='.
Raises:
LabelsFormatError, raises when label is not for... | fe26537f8e0bf581e4ce5409cb9384e90e11b88a | 3,596,492 |
def eval_linear_baseline(X, y, eval_X, eval_y):
"""
evaluate linear regression model
:param X:
:param y:
:param eval_X:
:param eval_y:
:return: predict_y, mse, mape
"""
lr = LinearRegression()
lr.fit(X, y)
pred_y = lr.predict(eval_X)
return pred_y, np.sqrt(mean_squared_e... | 518131d12ebce00dc8b02e4a081e5bb1ca74a857 | 3,596,493 |
def kron(*args) -> np.ndarray:
"""Computes the Kronecker product of two or more arrays.
Parameters
----------
*args : list of array_like or array_like
Input arrays.
Returns
-------
out : np.ndarray
The Kronecker product of the input arrays.
Examples
--------
>>... | 9f5f42760a19fb08c099ff59a879ec77ade222a4 | 3,596,494 |
def train(network_def, target_params, optimizer, states, actions, next_states, rewards,
terminals, loss_weights, kappa, num_atoms, cumulative_gamma, double_dqn, rng):
"""Run a training step."""
online_params = optimizer.target
def loss_fn(params,rng_input, target, loss_multipliers):
def q_online(st... | 71a024422aa6f2e58ae6912102fd52ea59ec2252 | 3,596,496 |
def GetChatID(message: Message):
""" Get the group id of the incoming message"""
return message.chat.id | 1cf3c76b84b3c7d5fd10817652ed67e4883033c2 | 3,596,497 |
def _dayOfWeek(year, month, day):
"""
INTERNAL: calculates the day of week (0=Sun, 6=Sat) for the given date.
"""
return _julianDay(year, month, day) % 7 | 0d83869d5bf2bd2ede53937d9ce1be6a330ba165 | 3,596,498 |
def starts_expanded(name):
"""Return True if directory is a parent of initial cwd."""
if name is '/':
return True
l = name.split(dir_sep())
if len(l) > len(_initial_cwd):
return False
if l != _initial_cwd[:len(l)]:
return False
return True | b454812986853a65804968e249b35c4250b21a25 | 3,596,499 |
def simple_translate(english):
"""Simplest translation"""
words = english.lower().translate(str.maketrans("", "", punctuation)).split()
return " ".join([word[1:] + word[0] + "ay" for word in words]) | be8eb204a51edeac24c04f829dab7099c6d238bc | 3,596,500 |
def init_node_get_by_cluster_id(context, cluster_id, session=None):
"""Get init node ref by cluster id."""
return IMPL.init_node_get_by_cluster_id(context, cluster_id, session) | 17fe0ddf8203ca284c790949e3202ea5a1bcc084 | 3,596,501 |
def make_label_button(window, text, command, width):
"""
Creates a button to be used as a widget label, grids it, and returns it
based on the input parameters. The button is given solid relief, coloured white, and given a 2px thick black border.
The button is padded 15px from the left and 15px above an... | 030be37c065f6e11cae638de540418eec2a15cb6 | 3,596,502 |
def get_output_groups(targets, group_name):
"""Returns files in an output group from each target in a list.
The returned list may not be the same size as `targets` if some of the
targets do not contain the requested output group. This is not an error.
Args:
targets: A list of targets.
... | 95282a6657520e364a965b2c9cd73daadac6c660 | 3,596,504 |
import re
def check_token(token):
""" Checks if the given token is a valid UUID."""
valid = re.compile(r"^[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-"
r"[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}$")
return valid.match(token) | be675b2fa04aac96b006ab94d8c0f65d8c02132f | 3,596,505 |
def weightedLuminance(grayImg, kp=None):
"""
Foreground is middle 1/2x1/2 and bottom 1/4 strip
Background is the rest
"""
wlMaskFg = np.zeros(grayImg.shape, dtype=grayImg.dtype)
height, width = grayImg.shape
cv2.rectangle(wlMaskFg, (width/4, height/4), (3*width/4, 3*height/4), 255, -1)
... | 0bcb30751d7824cff05116669e904d3f26665102 | 3,596,506 |
def plug_in_body(tree, offsets, fields, objective_id,
body="", conditions=None, cmv=None,
ids_path=None, subtree=True, attr=None):
"""Translate the model into a set of "if" statemets in tableau syntax
`depth` controls the size of indentation. As soon as a value is missing
... | 64d7fd6ecc39d2773a0b52ac3836d7826a6c7535 | 3,596,507 |
def _unmix_various_gefs_intervals(init_time, start_floored, end_ceil,
cloud_cover_mixed):
"""unmix intervals for each kind of interval length in GEFS forecast"""
end_3h = init_time + pd.Timedelta('192hr')
cloud_covers = []
if start_floored < end_3h:
cloud_cove... | 18b78c94efbdfc5889a9b87e7f37847bce7b0765 | 3,596,509 |
import torch
import jax
import tensorflow as tf
def classical_jacobian(qnode):
"""Function to extract the Jacobian
matrix of the classical part of a QNode"""
def classical_preprocessing(*args, **kwargs):
"""Returns the trainable gate parameters for
a given QNode input"""
qnode.con... | 6fa487fb6ee257b9f083c50f42b2a54d2977cb8a | 3,596,510 |
from typing import List
def lshift(array: List) -> List:
"""
Example
-------
>>> lshift([0, 1, 2, 3, 4])
[1, 2, 3, 4, 0]
>>> lshift([0])
[0]
>>> lshift([])
[]
"""
return (array[1:] + [array[0]]) if len(array) > 1 else array | dbd9e23120eb136fb9beb02fda027174e75905da | 3,596,511 |
import traceback
def replay_walk(walk_to_run, step=False, log_errors=True, state=None):
"""
Run a single :class:`combtest.walk.Walk`
:param Walk walk_to_run: self evident
:param bool step: if True, step Action-by-Action through the Walk; the user
hits a key to proceed to the nex... | 7cf60a93cc2702968ff3d7b0d4db76189ac3c0c7 | 3,596,512 |
import math
from typing import Optional
def hybrd(
fcn: CallableHybrd,
x: np.ndarray,
fvec: np.ndarray,
xtol: float = math.sqrt(np.finfo(real).eps),
*,
maxfev: Optional[int] = None,
ml: Optional[int] = None,
mu: Optional[int] = None,
epsfcn: float = 0.0,
diag: Optional[np.ndarr... | e827775e6163c5718a1e573b4b26ff504d9d2b42 | 3,596,513 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.