content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def message_to_request(msg: bytes) -> TestRequest:
"""Convert message encoded by common.encode_message to request."""
url, case_id, submission_id = common.decode_message(msg.decode("utf-8"))
# We assume here, that data is valid, because it was generated by our code,
# and not by user... so we skip error... | bc899dbececd523702a9846b11adc8ae87179b77 | 74,246 |
def call_cells_mapping(df_reads,df_pool):
"""Determine count of top barcodes, barcodes prioritized if barcode maps to given pool design
"""
guide_info_cols = [SGRNA,GENE_SYMBOL,GENE_ID]
# map reads
df_mapped = (pd.merge(df_reads,df_pool[[PREFIX]],how='left',left_on=BARCODE,right_on=PREFIX)
... | 016118584558cc293bfb8c936326f9afb1da69ce | 74,247 |
def nWaveRiseTime(pmax, patm=101e3, csnd=341, lamb=6.8e-8):
"""
Calculate N-wave rise time
Parameters
----------
pmax -- N-wave overpressure amplitude in Pa
patm -- atmospheric pressure in Pa
csnd -- speed of sound in m/s
lamb -- air molecular mean free path in m
Returns
------... | cbcae9d8e3ddaeb6daab5a02a722cd7302ebf562 | 74,248 |
def remove_whitespace(string):
""" Removes leading spaces, trailing spaces, and empty lines from a string.
:param string: string to clean up
:type string: str
:rtype: str
"""
empty_line = app.LINE_START + app.maybe(app.LINESPACES) + app.NEWLINE
trailing_spaces = app.LINESPACES ... | 8fadf491fd1e2710708076214566c0d64a236f88 | 74,249 |
def _bp_static_url(blueprint):
""" builds the absolute url path for a blueprint's static folder """
u = u'%s%s' % (blueprint.url_prefix or '', blueprint.static_url_path or '')
return u | 3d5e68c411c804aec7ca7dbd68633cb75370761a | 74,252 |
def reduce_dims(array, axis=0):
"""
Reduce array dimensions at given axis
Note: If trying on image array please check if expand_dims
is used by you during image preprocessing and axis too.
Parameters
----------
array: numpy nd array
axis : int or tuple of ints
Position in the ... | b018bf72ef200e1d30bb6f58f9567a97172b7fc2 | 74,254 |
def selectable(label, selected, *args, **kwargs):
""" Selectable line.
This widget marks the whole line as selectable. To add widgets to `selectable`,
simply append them using `orr_same_line`:
```python
c.orr_same_line([
c.selectable("Selectable", False),
c.text("Extra text"),
... | 65b4aea6d59223630a513daffead7f80b074089b | 74,257 |
def mc_maximum_curvature(magnitudes):
"""
calculates magnitude of completeness using maximum
curvature method.
citation: ???
:param catalog : pandas.Series
:param method : str
"""
minimum = round(magnitudes.min(), 2)
bins = np.arange(start=minimum, stop=10, step=0.1)
hist, edg... | 7a0194e50e704893ab67455cc2bdf62e79610c19 | 74,258 |
def self_advection(
grid: grids.Grid,
dt: float,
physics_specs: physics_specifications.NavierStokesPhysicsSpecs,
advection_module: AdvectionModule = modular_advection,
**kwargs
) -> ConvectFn:
"""Convection module based on simultaneous self-advection of velocities."""
advect_fn = advection_modul... | f7d4260401bd317a7d0daf761006992030a8b259 | 74,259 |
def create_model(flags, model_name, inp, rng):
"""Creates model given model_name."""
new_rng, init_rng, drop_rng = jax.random.split(rng, num=3)
if model_name == 'gcn':
features = [flags.hid_dim, flags.num_classes]
model = models.GCN(features, flags.drop_rate, 'PReLU')
init = model.init({'params': init... | 3d01fe1a1b04276e94e61591a1221e77fbf15ec4 | 74,260 |
from datetime import datetime
import json
def execute(_start_time: str, _stop_time: str, public_key: str = None, tableName: str = "sps30_output"):
"""
Function that fetches data entries from database. If public_key is provided data is encrypted and then encoded.
If no key is provided the data is only enco... | c7a63451f631e634b8c5fba0714445a383229411 | 74,261 |
import glob
def csv_to_listofDF(path):
"""
This function gets the path to csv files, reads all the csv files in, converts them to dataframes,
adds distric_id as a column and saves them in a list
Parameters
-------------
path: The path to CSV files
"""
files = glob.glob(... | db13832373f14a46febff8cef610dfa5937149e5 | 74,262 |
def plot_trace(
data,
var_names=None,
coords=None,
divergences="bottom",
figsize=None,
textsize=None,
lines=None,
combined=False,
kde_kwargs=None,
hist_kwargs=None,
trace_kwargs=None,
):
"""Plot samples histograms and values.
If `divergences` data is available in `sa... | ab9e0e4bab782c0f667acbd0157293cc11b64913 | 74,265 |
def ijk_ljk_to_ilk(A, B):
"""
Faster version of einsum np.einsum('ijk,ljk->ilk', A, B)
I.e A.dot(B.T) for every dimension
"""
res = np.zeros((A.shape[-1], A.shape[0], B.shape[0]))
[np.dot(A[:,:,i], B[:,:,i].T, out=res[i,:,:]) for i in range(A.shape[-1])]
res = res.swapaxes(0, 2).swapaxes(0,... | caf14f5e820b7fb3e15b9041afbee00ae5b77f1f | 74,266 |
from typing import Callable
import re
def to_markdown(text: str, docformat: str = 'numpy,google', *,
module: pdoc.Module = None, link: Callable[..., str] = None,
# Matches markdown code spans not +directly+ within links.
# E.g. `code` and [foo is `bar`]() but not [`code... | 3ff3580ce254dd0b68ccc48efd9418cfc22c832f | 74,267 |
def view():
"""Returns the app in a nice template for use at awesome-panel.org"""
pn.config.sizing_mode = "stretch_width"
template = pn.template.FastListTemplate(
main_max_width="1024px",
)
select_continent = pn.widgets.Select(name="Continent", options=CONTINENTS, value=CONTINENTS[0])
... | e2e9537418c48adcf8ac3ecb24e9f08082f964b0 | 74,268 |
from typing import Callable
from typing import Mapping
from typing import Any
def py_function_dict_output(
transform: Callable[..., Mapping[str, tf.Tensor]],
inp: Any,
signature: Mapping[str, tf.TensorSpec],
) -> Mapping[str, tf.Tensor]:
"""Wrap a user python function returning a dictionary of tensors... | e550bbbb8f360c35e432ac65c388f70e12712c1b | 74,269 |
def Following(field, dist, fromPt=None):
"""The 'following F [from X] for D' specifier.
Specifies 'position', and optionally 'heading', with no dependencies.
Allowed forms:
following <field> [from <vector>] for <number>
If the 'from <vector>' is omitted, the position of ego is used.
"""
if fromPt is None:
... | db12f71b0e411a0e1144c6537491911c1757180a | 74,270 |
from bs4 import BeautifulSoup
def __parseHTML(pages_html: list) -> list:
"""Function to parse raw HTML filings from EDGAR, and return a structured
list of dictionaries with filing information.
Arguments:
pages_html {list} -- Raw HTML of listings pages.
Returns:
list -- Struct... | bcfe11de5b8df910ca0d98f3aab8edc99e062ae6 | 74,271 |
def hadoop_fs_ls(stdout, stderr, environ, *args):
"""Implements hadoop fs -ls."""
if mock_hadoop_uses_yarn(environ) and args and args[0] == '-R':
path_args = args[1:]
recursive = True
else:
path_args = args
recursive = False
return _hadoop_fs_ls('ls', stdout, stderr, env... | e348aaa247fee11394e5495579c5275b53dfa5a9 | 74,272 |
def get_encoding(header):
"""File out encoding."""
for line in header:
if line.lstrip().startswith("Content-type"):
for entry in line.split(";"):
if entry.strip().startswith('charset'):
return entry.split('=')[1].strip()
return ENCODING | 40ba875fdb99562a3eb985b877d7334162d87882 | 74,273 |
def prune_scalar_nodes(einsum_node):
"""
Remove the scalar input nodes of a einsum_node.
Args:
einsum_node: An fused einsum node.
Return:
both the scalar and the pruned einsum node.
"""
in_subs, out_subs, _ = parse_einsum_input(
(einsum_node.einsum_sub... | a4553937710b31a50a62ea24c2f4664dc5127cbd | 74,274 |
def web_color_to_hex(name: Text) -> int:
"""Convert the color from web color name to hexadecimal."""
return hex_to_hex(web.colors[name]) | 7581085b3bbbb8786584d04224730b5304189108 | 74,275 |
def analyze_personality():
"""個人のテキストをクエリとし，PersonalityInsightsから性格パラメータを取得する．
Returns:
dict: Big 5のパラメータ． keyは{'ope', 'con', 'ext', 'agr', 'emo'}
"""
with open('apikey.txt', 'r') as f:
api_key = f.read()
authenticator = IAMAuthenticator(api_key)
personality_insights = Personal... | 9ad9da76785d8c82ade354621d0faaade144bf45 | 74,276 |
def calcSquareInnerProduct(modes1, modes2):
"""Returns the square inner product (SIP) of fluctuations [SK02]_.
This function returns a single number.
.. [SK02] Kundu S, Melton JS, Sorensen DC, Phillips GN: Dynamics of
proteins in crystals: comparison of experiment with simple models.
Bi... | e0ce8543870f48f505b1fa1d30739362476c720c | 74,277 |
def skip_line_comment(prefix):
"""
Given comment prefix this function returns a parser that skips line
comments. Note that it stops just before the newline character but
doesn't consume the newline. Newline is either supposed to be consumed by
'space' parser or picked up manually.
"""
return... | 8bdfb5ca9a565411fba2292465fd0c8e3d352fb3 | 74,278 |
import re
def awik(phenny, input):
"""Search for something on Apertium wiki or
point another user to a page on Apertium wiki (supports pointing)"""
origterm = input.groups()[1]
if "->" in origterm or "→" in origterm:
return
if not origterm:
return phenny.say('Perhaps you meant ".... | 3e07bbdf6e28f14a1dd0d2b639c9487822cf7f31 | 74,280 |
def moments(filename,samples):
"""
M = first moments, counting down from number of samples to 2
MM = second moments
"""
f = open(filename,'r')
lines = f.readlines()
T = np.zeros((len(lines),len(str.split(lines[0]))))
c = 0
for l in lines:
m = str.split(l)
for n in ran... | 880d737f5c37dbe0096dfaed8cf8103484739b45 | 74,281 |
def extract_exchange(raw_data, exchange):
"""
Extracts flow value and direction for a given exchange.
Returns a float or None.
"""
search_value = JSON_MAPPING[exchange]
interconnection = None
for datapoint in raw_data:
if datapoint['nombre'] == search_value:
interconnect... | f429bdf05d5ecaccc8541a57500059a6b16e7f58 | 74,282 |
import math
def toECEF(latitude, longitude, altitude=0.0):
"""
Returns ECEF coordinates as x,y,z in meters.
latitude: Latitude in radians
longitude: Longitude in radians
altitude: Altitude in meters, defaults to 0
"""
n = N(latitude)
cos_lat = math.cos(latitude)
return (n+altitude)*cos_lat*math.cos(... | 00336400e139e701eeeb9f2aa6ce47ade2696691 | 74,283 |
from typing import List
import inspect
def get_class_names(module) -> List[str]:
"""Get class names of a module."""
ans = []
for m in inspect.getmembers(module):
if inspect.isclass(m[1]):
ans.append(m[0])
ans.sort()
return ans | 4ae36e8823f28d00693eac3d70affe7f0591a745 | 74,284 |
def magnetic_form_factor(element, Qmag=0.):
"""
Read Magnetic form factor table, calculate <j0(|Q|)>
Analytical approximation of the magnetic form factor:
<j0(|Q|)> = A*exp(-a*s^2) + B*exp(-b*s^2) + C*exp(-c*s^2) + D, where s = sin(theta)/lambda in A-1
See more about the approximatio here: https... | 88dfa1ff7bcb8c6665bc516247191c818e7fbc4b | 74,285 |
def init_provider():
"""Init provider factory loader."""
return dict(DGI=DGI) | 50a89477d4db4628bcc5c1ce151baa8a3c6a83f9 | 74,286 |
def batch_global_rigid_transformation(Rs, Js, parent, rotate_base=False):
"""
Computes absolute joint locations given pose.
rotate_base: if True, rotates the global rotation by 90 deg in x axis.
if False, this is the original SMPL coordinate.
Args:
Rs: N x 24 x 3 x 3 rotation vector of K joi... | 432e4d2224c27f01e45b5fe69b9e23584c9c95bd | 74,288 |
def available_clouds():
""" list of regions configured for the current cloud
for argparse suggestions """
try:
clouds = config_proxy.CLOUDS
return clouds.keys()
except (ConfigurationError, AttributeError):
return None | cbca28783cf393c0f895cf9580aacc41b6c28679 | 74,289 |
import yaml
import time
import copy
def heatmap(data_config):
"""Generate heatmap based on the tile scores
Creates a heatmap for the given column, using the color palette `viridis` to set a fill value
- the color ranges from purple to yellow, for scores from 0 to 1.
Args:
data_config (string... | 14a51c8736bb9a9413be1bc87acd72e04b8e90e2 | 74,291 |
def do_upload(app, fh, actual_freq_display=None, verbosity=0):
"""Perform a data upload for the named module
app: The name of the uploader module that will upload the file, or it's
registered dashboard_loader.models.Uploader object
fh: A file-like object representing the the file to be uploaded.
actual_freq_d... | 8a7ca70b9f2b871cfc9d3b1b7c2ad01191da8233 | 74,292 |
from typing import List
from typing import Tuple
def get_slices(all_texts_df: pd.DataFrame,
slice_length: int = 25,
overlap_percent: float = 0) -> pd.DataFrame:
"""
Split the given pandas DataFrame into many slices.
Parameters
----------
all_texts_df: pd.DataFrame :
... | fcfac23da3882b1507d4c0214468b99983b61ee2 | 74,293 |
def object_hook(data):
"""
detects the type of a JSON object, imports the class
of that type and calls `to_dict`
"""
if '_type' in data:
obj = None
obj_type = data['_type']
klass = _import_type(obj_type)
if hasattr(klass, 'from_dict'):
obj = klass.from_di... | a5b29a49a9f5cff5aafc1e775f5b127ba7cc61a0 | 74,294 |
import math
def create_pose(camR, scale=0, angle_deg=0):
"""Compute rotation matrix from viewpoint vertex and inplane rotation """
rot = camR.reshape(3,3)
transform = np.eye(4)
rodriguez = np.asarray([0, 0, 1]) * (angle_deg * math.pi / 180.0)
angle_axis = expm(np.cross(np.eye(3), rodriguez))
t... | 1a864d83c47c9c869a9cc039221e0b4943d7493a | 74,295 |
def configure_publisher_install(request):
"""Render publisher install tab"""
ctxd = {
"i18n": {
"title": ugettext_lazy(
"configure_publisher_install.title"
), # 'Install or Upgrade Publisher'
"fields": {
"pickfile": {
... | 3fe0fc88795437c00fb188624c485fc01271ac37 | 74,296 |
def root():
"""Main page renders the index.html page"""
return render_template( "index.html", username=app.config['BASIC_AUTH_USERNAME'], passwd=app.config['BASIC_AUTH_PASSWORD'] ) | 15c4a225f3a358d20b7c4369d8458b1cbde09285 | 74,299 |
import email
def _getcharset(resp, default='utf-8'):
"""
Extract the charset from an HTTPResponse.
"""
# In Python 3, HTTPResponse is a subclass of email.message.Message, so we
# can use get_content_chrset. In Python 2, however, it's not so we have
# to be "clever".
if hasattr(resp, 'heade... | be80b5b1ab527be83cd55a297f3ba65023d38949 | 74,300 |
def self_consistent_update(u_kn, N_k, f_k):
"""Return an improved guess for the dimensionless free energies
Parameters
----------
u_kn : np.ndarray, shape=(n_states, n_samples), dtype='float'
The reduced potential energies, i.e. -log unnormalized probabilities
N_k : np.ndarray, shape=(n_sta... | 66d67a0f467f8d39405435012fc716238fab6bfd | 74,301 |
def find_address_of_type(host_elem, type_):
"""Return the host's address of the given type, or `None` if there
is no address element of that type.
"""
address_elem = host_elem.find('./address[@addrtype="{}"]'.format(type_))
if address_elem is not None:
return address_elem.get('addr') | ff821703d076865da3c6efe0d2d760c4fcb2c997 | 74,304 |
import re
def IsValidAtom(atom):
"""Test if an atom conforms to the JHM definition of an atom"""
return re.match("([_a-zA-Z][_\-a-zA-Z0-9]*)?",atom) | 218e846db1559bb91ab1ab47c5955d43b8274866 | 74,305 |
def submit(command, args=None, kwargs=None, name=None, qtype=None,
profile=None, queue=None, **kwds):
"""Submit a script to the cluster.
Parameters
----------
command : function/str
The command or function to execute.
args : tuple/dict, optional
Optional arguments to add ... | a7bde7fca3b84d501682a749c2475cc760a36892 | 74,306 |
import re
def fuzzyfinder(user_input,collection):
"""
fuzzy matching, to obtain a fuzzy matched list.
>>>collection = [
"user_name",
"api_user",
"school",
"email"
]
>>>fuzzyfinder("user",collection)
... | db01f13f3caf5dc9a21cfb180776c22b589f1a28 | 74,307 |
import pickle
def cache_memoize(max_age):
"""
Memoize decorator that uses Django's cache facility.
Parameters
----------
max_age : int
Maximum age of memoized results, in seconds.
"""
def decorator(func):
site = Site.objects.get_current()
key_prefix = 'cache_m... | 9d115f3889a34f21528af8e494452e068f00024a | 74,308 |
import jinja2
import inspect
def set_template_env(template_dir):
"""
Function that sets the Jinja2 template environment from a given dir.
Returns nothing.
Input:
- template_dir path
"""
env = jinja2.Environment(
loader=jinja2.FileSystemLoader(template_dir),
lstrip_blocks=Tr... | 0f2a5375b9f3e2fca26cd12c8878eca23479bf12 | 74,309 |
def bq_token_file_path_exists_mock(token_path):
"""
Mock bq_token_file_path_exist to return True
"""
return True | 54958444c16c4244ab349d60b0add39723ba6d8b | 74,310 |
def view_cadastrar_usuario_passivo(request, callback=None):
"""
View de cadastro de novos usuários passivos.
:param callback: próxima página
:param request: POST form
:return:
"""
if request.method == 'POST':
form = FormCadastraUsuarioPassivo(request.POST)
... | 1c2940b613ea7a27f5a8f1395d579be511be2b86 | 74,311 |
def unsqueeze(input, axes, name=None):
"""
Insert single-dimensional entries to the shape of a Tensor. Takes one
required argument axes, a list of dimensions that will be inserted.
Dimension indices in axes are as seen in the output tensor.
For example:
.. code-block:: text
Given a tens... | c6d6aa8ac54027164b501fd1c8105a2132dbf5a2 | 74,312 |
def masa_strugotine(volumen_strugotine, gustoca_materijala):
"""
"""
return 1e-9*volumen_strugotine*gustoca_materijala | 06e65566ff2a9c13fabe1316a7a290c1145a741c | 74,314 |
def get_edges(img):
"""搜索图片边界
:param img: 图片
:return: left, right, top, bottom
"""
image = cv2.cvtColor(np.asarray(img),cv2.COLOR_RGB2BGR)
img = cv2.medianBlur(image, 5) # 中值滤波，去除黑色边际中可能含有的噪声干扰
b = cv2.threshold(img, 15, 255, cv2.THRESH_BINARY) # 调整裁剪效果
binary_image = b[1] # 二值图--具有三... | 80442261977266ec5e17e5b710fbd09838fca4a3 | 74,315 |
def load_data(data_dir):
"""Loads the data. Returns tuple (`train_ds`, `val_ds`)."""
# Training data.
train_ds = tf.keras.preprocessing.image_dataset_from_directory(
data_dir,
validation_split=VALIDATION_SPLIT,
subset="training",
seed=123,
image_size=(IMG_HEIGHT, IMG_... | eb5fb41d9d98517d5ab72dadc80e59f35fde4c4e | 74,316 |
def put_events(environment, start_response, headers):
"""
Store events in backends
POST body should contain a JSON encoded version of:
{ namespace: namespace_name (optional),
events: { stream_name1 : [event1, event2, ...],
stream_name2 : [event1, event2, ...],
... }
}... | 168bad8c98542a3d194ca61cb7c49c90fe5d2ee5 | 74,317 |
def main(important_parameter, ignored_parameter):
"""
:return: The answer to everything
"""
important_field = important_parameter # this way the parameter was actually used, hence making it important.
def realmain():
def actualrealrealmain():
def nownoteve... | abde26d4c49e4300497a39df4c78f1e1d4ed9b5d | 74,318 |
from typing import List
from typing import Dict
from typing import Any
def _postporcess_edn(decks: List[Dict[str, Any]]) -> Dict[str, Any]:
""" Tweak the data representation to fit what
mochi expects
"""
for d in decks:
d['name'] = d['name'].split('::')[-1]
d['id'] = edn_format.Keyw... | 2a4bf126867c624ac89bb9589149d3ec50db8f7c | 74,319 |
from typing import Any
def get_parent_dir(test_filepath: Any) -> Any:
"""Returns PurePath to parent directory of argument filepath.
Arguments:
test_filepath {Any} -- python Path to .robot file
Returns:
Any -- python PurePath to parent directory.
See:
https://docs... | 31ae6cc161c292a61ce9ab0eea11b05ff532ae31 | 74,321 |
def drop_and_rearrange_columns(
dataframe: pd.DataFrame, columns_to_keep: list[str]
) -> pd.DataFrame:
"""Drops and rearranges columns of a Pandas DataFrame.
Args:
dataframe (pd.DataFrame): Dataframe to operate on.
columns_to_keep (list[str]): List of columns to keep in the order wanted.
... | c6b797270a7ab198bbcd03c88cedf8d75268db55 | 74,322 |
def _hitgroup_content_to_sorl_dt(hg):
"""Convert given HitGroupContent object into valid solr dictionary, that
can be added to index using at least pysolr.Solr connection
"""
doc = {
'group_id': hg.group_id,
'requester_id': hg.requester_id,
'requester_name': hg.requester_name,
... | fa4395e67d2f00bf309a0e04c54272b03411caaa | 74,324 |
def bias_variable(shape, verbose=False):
"""Creates a CPU variable with constant initialization. Adds summaries.
Args:
shape: list, the shape of the variable.
verbose: if set add histograms.
Returns:
Bias variable tensor with shape=shape.
"""
with tf.device('/cpu:0'):
with tf.name_scope('bia... | 3d0a730d29ee22c231a3e393a654f5c8aed89bce | 74,325 |
import random
def title(random=random, *args, **kwargs):
"""
Return a title!
>>> mock_random.seed(0)
>>> title(random=mock_random)
'captain'
>>> title(random=mock_random, capitalize=True)
'Lieutenant'
>>> title(random=mock_random, slugify=True)
'leftenant'
"""
return rando... | bb379bc6fe6cfb905017bde2f79d68f341757674 | 74,326 |
import grp
def to_gid(name):
"""Return a gid, given a group name
If the group name is unknown, raises a ValueError.
"""
if isinstance(name, int):
try:
grp.getgrgid(name)
return name
except KeyError:
raise ValueError("No such group: %r" % name)
... | aa8a97aff1ef18b425139e4a2e1870d3517d6782 | 74,327 |
def tree_price(ap):
"""
Computes the price-dividend ratio of the Lucas tree.
Parameters
----------
ap: AssetPriceModel
An instance of AssetPriceModel containing primitives
Returns
-------
v : array_like(float)
Lucas tree price-dividend ratio
"""
# == Simplify n... | 54dc847f5ac91d9b74db22f7eed399e6fc5fad75 | 74,328 |
def initialize_clock(): # pragma: no cover
"""
Initialise le temps.
Returns
-------
Clock
Une horloge
"""
return pygame.time.Clock() | 2e57cdc3d2e0566a498c1517fe8e32a1972ea43d | 74,329 |
def get_hdf_data(name, path):
"""Get data from a HDF5 file assuming there is replicates
of data branching from the top-level nodes
"""
# First locate the dataset in the first result,
# then grab that data for every run.
hdf = h5py.File(name, 'r')
return [hdf[node + path].value for node... | cb158becfba9bcc3d565f91ed0807b2a12a32853 | 74,330 |
def permutation(geo, ref_geo, thresh=1e-4):
""" determine the permutation of one geometry that reproduces another
(If there isn't one -- the geometries are not aligned, return None)
"""
natms = count(geo)
syms = symbols(geo)
xyzs = coordinates(geo)
perm_idxs = [None] * natms
for idx, (... | 18dd8cd74cf015d7585810b674ca03259a4f8e63 | 74,331 |
from datetime import datetime
def check_realistic_birth_date(date):
"""
Function to check if the inserted date of birth is not futurist.
"""
date = date.split("/")
today = datetime.strftime(datetime.now(), "%d/%m/%Y").split("/")
logic_1 = (
int(date[0]) > int(today[0]) and # Day
... | 3b92d322881b9f4dafac6678a1627cec90c8cd50 | 74,332 |
import numpy
def _generate_segments(im_orig, scale, sigma, min_size):
"""
segment smallest regions by the algorithm of Felzenswalb and
Huttenlocher
"""
# open the Image
im_mask = skimage.segmentation.felzenszwalb(
skimage.util.img_as_float(im_orig), scale=scale, sigma=sigma,
... | 83e32babd83f5a17353357094b1c986d7bbec635 | 74,333 |
from datetime import datetime
def get_month_data_range(months_ago=1, include_this_month=False):
"""
A method that generates a list of dictionaries
that describe any given amount of monthly data.
"""
today = datetime.datetime.now().today()
dates_ = []
if include_this_month:
# get ne... | 8122f759d807dd687bb18e2c013cf32310023c6a | 74,334 |
def getBoundingBoxCoordinates(box, height, width):
"""
returns coordinates of bounding box in pixels
:param box: a Tensor returned of tensorflow object detection prediction of 1 set of ymin, xmin, ymax, xmax
:param height: height of image
:param width: width of image
:return: ymin, xmin, ymax, x... | 14f6e94b68d62893d3235c73c0c4943e6edaf4d2 | 74,335 |
def deletable_group(request, onefs_client):
"""Get the name of an existing group that it is ok to delete."""
return _deletable_group(request, onefs_client) | 5f9d1533c86b8b153e060e3fabf34c7fd786b735 | 74,336 |
def calc_dh(eta):
"""Calculate the first derivative of the interpolation function
Args:
eta: the phase field
Returns:
the value of dh
"""
return 30 * eta ** 2 * (eta - 1) ** 2 | 557f3d932c0b380ad291f2af081d1ebe8fcd5baf | 74,337 |
def parse_requirements():
"""
load requirements from a pip requirements file
"""
lineiter = (line.strip() for line in open('requirements.txt'))
return [line for line in lineiter if line and not line.startswith("#")] | 8cc21bd86d207338c2e97701e6a42d5ff8edd0ad | 74,338 |
def scale_by_stddev(decay=0.9, eps=1e-8):
"""Rescale updates by the root of the centered exp. moving average of squares.
References:
[Hinton](www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf)
Args:
decay: decay rate for the exponentially weighted average of squared grads.
eps: term a... | 5fb1cef48fd6486f6388e75ed4759726811ca1b4 | 74,339 |
import math
def WassersteinMinFlowL1(h1, h2):
""" Find the Wasserstein distance using a cutting plane on the dual """
def ID(x,y):
return x*s+y
n = len(h1)
s = int(np.sqrt(n))
print(n,s)
# Build model
m = Model()
#m.setParam(GRB.Param.TimeLimit, 300)
#m.setParam(GRB.Param.... | a87031f92a20ff671162d9b11d9da15712c66d79 | 74,340 |
def create_mesh_object_copies_with_applied_modifiers(scene):
"""
Creates copies of all mesh objects in the specified scene and applies then the
edge split and mirror modifier on the copy. Afterwards it makes the mesh calculate
triangle data via mesh.update(calc_tessface=True)
"""
non_empty_mesh_objects = ... | a3c1ddd939f3f513d4007346cacc0809adf95bc7 | 74,341 |
def compute_all_seclists(project_name):
"""
Make a list of all seclists for instances in project
"""
data_type = "instances"
sections = get_section_data(project_name, data_type)
seclists = []
for section in sections:
instance_types = get_config_item(project_nam... | 31ad8aee019ea10f986c5dd5a619e8ac7e23da09 | 74,342 |
def pol2cart(lon, lat):
"""
Utility function to convert longitude,latitude on a unit sphere to
cartesian co-ordinates.
"""
x = np.cos(lat)*np.cos(lon)
y = np.cos(lat)*np.sin(lon)
z = np.sin(lat)
return np.array([x,y,z]) | 74b760ebe126b022bd9b34a136f5c8fc2edea89c | 74,343 |
def mod_padding_symmetric(image, factor=64):
"""Padding the image to be divided by factor."""
height, width = image.shape[0], image.shape[1]
height_pad, width_pad = ((height + factor) // factor) * factor, (
(width + factor) // factor) * factor
padh = height_pad - height if height % factor != 0 else 0
pa... | b08cc6285dee8bc99c979b081c88f2d4a3f77e06 | 74,344 |
def parse_http_response(data):
""" Parses HTTP response data into a tuple in the form (cmd, headers).
@param data: HTTP response data
@type data: string
@return: (cmd, headers) for the given data
@rtype: tuple
"""
header, payload = data.split('\r\n\r\n')
lines = header.split('\r\n')
... | da4680acd9dd429fdbffbe6927586ba23256286e | 74,345 |
def filter_not_in(c, values, inclusion=None, exclusion=None):
"""Returns the entries of the specified collection whose values are not in the specified values
for all the specified keys."""
values = to_set(values)
return filter_not_with(c, lambda v: v in values, inclusion=inclusion, exclusion=exclusion) | 677d850ccd2685d63b37b27fa679c821da64d97e | 74,346 |
def get_project_names():
"""Searches for Tracker projects at the Tracker home configuration file
Returns:
<list> -- List of project names
"""
trackerfile = TrackerFile()
projects = trackerfile.get("projects", {})
project_names = []
if projects:
for d in projects:
... | adf7a35a567d5cded2aa9100bb65ffa5f8fee2a4 | 74,347 |
def AircraftTraj(Nsim, npoint, Time=20, v=500/60, ra=0.25, rc=1/57, sigmac=1):
"""
Outputs N Aircraft trajectories in form of tuple Xa, Xc
from point (0,0) horizontally
la position along-track et cross-track.
Simulation de N trajectoires d'avion par une discretisation
du processus Gaussienn en n... | 6829cee95e0b278dc131dd37719143c9dc072e42 | 74,348 |
import random
from datetime import date
from wbia.detecttools.pypascalmarkup import PascalVOC_Markup_Annotation
import datetime
def export_to_xml(
ibs,
species_list,
species_mapping=None,
offset='auto',
enforce_viewpoint=False,
target_size=900,
purge=False,
use_maximum_linear_dimension... | 9fd9c2c2e224482d8870795c3690c32fbf334cc2 | 74,349 |
def setlocation(bot, trigger):
""" Sets a nick's default city location """
if not trigger.group(2):
bot.reply('Give me a location, like "Washington, DC" or "London".')
return NOLIMIT
api = bot.memory['owm']['api']
location_lookup = trigger.group(2)
location_group_list = lookup_locat... | 2d70de406319e10fcfa7c69791f7cc1c4aaa6aa6 | 74,350 |
from typing import Dict
from typing import Tuple
from typing import Union
def sum_of_interaction_operator_gate_generators(
n_modes: int,
gates: Dict[Tuple[int, ...], Union[float, cirq.Gate]],
) -> openfermion.InteractionOperator:
"""The interaction operator that is the sum of the generators of the... | 988d4d4d4285282eb3dfe60cb6ff670d51490adc | 74,351 |
from typing import OrderedDict
def remove_layers(summary):
"""
This is called when print_major_layers_only is True.
Removes layers with no weights, like activation layers. Retain layers that manipulate
shapes, otherwise reading the model summary can be confusing.
"""
new_summary =... | 772dcc3fcfbe3828e84585c750e9384b0bcc08e6 | 74,352 |
def reasonability(x, val, mode):
""" Checks to see if an array is within a set of bounds. """
if mode == 'high':
return np.all(x <= val)
if mode == 'low':
return np.all(x >= val) | 74d6c6388fc5427795c72ade2b423b113277b7cd | 74,353 |
def topological_ordering(A):
"""Return a topological ordering for the DAG with adjacency matrix A,
using Kahn's 1962 algorithm.
Raises a ValueError exception if the given adjacency does not
correspond to a DAG.
Parameters
----------
A: np.array
the adjacency matrix of the graph, wh... | f5ea21b12e8a91308ff680e3bec3fef7ae4ca90c | 74,356 |
def dhcp_relay_detailed_show(dut, interface="", family="ipv4", cli_type=""):
"""
API to show the DHCP relay detailed output
:param dut:
:return:
"""
cli_type = st.get_ui_type(dut, cli_type=cli_type)
if cli_type in ['click', 'klish']:
ip_val = "ip" if family == "ipv4" else "ipv6"
... | f85839d01c404ddfd9b2c9cc436acb6a54f32415 | 74,357 |
def project_3(request):
"""Third project page"""
return render_to_response('frontend/project-3.html', locals()) | 3ecf54afb5f74be63a01c5c2b0aea54634e0360d | 74,358 |
def calc_cum_abs_deriv(y, sigma=10, order=1, axis=-1):
""" Calculates the curvature of the spike count vector `y`"""
return np.cumsum(np.abs(gaussian_filter1d(y, sigma=sigma, order=order, axis=axis)), axis=axis) | 85dea0d95b4ca41a87f16a8316d24dced89b9155 | 74,360 |
def isChildUri(parentUri, childUri):
"""Return True, if childUri is a child of parentUri.
This function accounts for the fact that '/a/b/c' and 'a/b/c/' are
children of '/a/b' (and also of '/a/b/').
Note that '/a/b/cd' is NOT a child of 'a/b/c'.
"""
return parentUri and childUri and childU... | a28a386c38a4d6722f6b7c8bcbeafb8092dbbe77 | 74,361 |
from typing import Any
def outer(a: Any, b: Any) -> Any:
"""
Compute the outer product of *a* and *b* while allowing either of them
to be an :class:`ArrayContainer`.
Tweaks the behavior of :func:`numpy.outer` to return a lower-dimensional
object if either/both of *a* and *b* are scalars (whereas ... | 9fa62a06e11197f669cd68b20a4cbf6f1743b19d | 74,362 |
def setup_users_eligible_for_object(*perms):
"""Post-save signal receiver producer to setup a new object
Since this is the first time permissions are being setup, the `bulk_create`
manager method is used for performance.
"""
@transaction.commit_on_success
@wraps(setup_users_eligible_for_object... | 307220cbd24a74d2e5a212c4119486895bb8e742 | 74,363 |
def verify_sorted(countykey_list):
"""! verify that read countykey_list is sorted
@param countykey_list List of county regional keys
"""
countykey_list_is_sorted = np.all(np.array(
countykey_list[:-1]) <= np.array(countykey_list[1:])) # this checks if it is sorted
if countykey_list_is_sorte... | 63898815303629aa9402f023c68d1d2cb4a22cdf | 74,364 |
def _parseUnit(unitString):
"""string -> multiplier
returns how many of the base SI units are equivalent to this unit
"""
[num, den, *junk] = unitString.split("/") + ["1", "1"] # split string into numerator and denominator
[num, den] = [x.split("*") for x in [num, den]] # split by term
[num, den... | 6c952a47a40297797bf64496c4a6bc7ba0af8c95 | 74,365 |
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