content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def compute_local_coordinates(cx, cy, x, y, newton_tol=1e-12,
interpolation_scheme='nufft', guess_ind=None, verbose=False, max_iterations=30):
"""
Find (s, r) given (x, y) using the coordinates:
x = X(s) + r n_x(s)
y = Y(s) + r n_y(s)
Where X, Y is given by cx, cy
Uses a NUFFT based... | 7ef363d65f73122dd358a08885fe22e73a40d25c | 43,758 |
from time import localtime
def parse_search(interms):
"""We go to the trouble of parsing searches ourselves because ADS's syntax
is quite verbose. Terms we support:
(integer) -> year specification
if this year is 2014, 16--99 are treated as 19NN,
and 00--15 is treated as 20NN (for "2015 in ... | 6734b9a204a024cc53bd7dce7b4a3a734c8f9e68 | 43,759 |
import traceback
def gunicorn_sync_wrapper(wrapped, _instance, args, kwargs):
"""
Wraps the gunicorn sync worker handle request.
Catches request handling errors and finally sending the trace.
:param wrapped: wrapt's wrapped
:param _instance: wrapt's instance
:param args: wrapt's args
:para... | da1b0047de8f439ead29c72693c2e9b8fb9f81ed | 43,760 |
from typing import List
from typing import Any
from typing import Optional
def make_table(
rows: List[List[Any]], labels: Optional[List[Any]] = None, centered: bool = False
) -> str:
"""
:param rows: 2D list containing objects that have a single-line representation (via `str`).
All rows must be of the... | 3837a50395a215206dff1af1836545ea8620c26c | 43,761 |
def _get_max_mem():
"""Return the current cgroup's memory high water mark."""
try:
with open("/sys/fs/cgroup/memory/memory.max_usage_in_bytes") as f:
return float(f.read().strip())
except Exception:
return 0 | 6031fdc75c6ca2fd8f74e52951316e708b0eb36e | 43,762 |
def gaussian_lowpass(sigma: tf.Tensor, filter_size: int):
"""Generates gaussian windows centered in zero, of std sigma.
Args:
sigma: tf.Tensor<float>[1, 1, C, 1] for C filters.
filter_size: length of the filter.
Returns:
A tf.Tensor<float>[1, filter_size, C, 1].
"""
sigma = tf.clip_by_value(
... | b27997c1af357d9b335f4b4b60d7f2ad18112470 | 43,764 |
from typing import List
def predict_on_structure_par_en(structure: Structure, gp: GaussianProcess,
n_cpus: int = None,
write_to_structure: bool = True,
selective_atoms: List[int] = None,
ski... | e0c1a58ea5cd0fdf2fc0de73f94e2cbd186de41d | 43,765 |
import unittest
def suite():
"""Gather all the tests from this package in a test suite."""
test_suite = unittest.TestSuite()
test_suite.addTest(unittest.makeSuite(TestRevokeReport, "test"))
return test_suite | 1d868b629232e65bc24d0db9171e7284faab7cad | 43,766 |
import re
def get_sender(msg):
"""
Returns the best-guess sender of an email.
Arguments:
email -- the email whose sender is desired
Returns:
Sender of the email.
"""
sender = msg['From']
m = re.match(r'(.*)\s<.*>', sender)
if m:
return m.group(1)
... | 3d88a6861df26d4ca7a5269346cbd14c09d248dc | 43,767 |
def coord_arg_to_coord(carg):
"""
Parameters
----------
carg : str
Argument from parser for coordinates
Eligible formats are like:
J081240.7+320809
122.223,-23.2322
07:45:00.47,34:17:31.1
Returns
-------
icoord : str or tuple
Allowed format for c... | 16a6cb8090dc040b7b5f6a1a4ba873ea65e0dfdf | 43,768 |
def clear_geolocation_override() -> dict:
"""Clears the overriden Geolocation Position and Error."""
return {"method": "Emulation.clearGeolocationOverride", "params": {}} | 92c77ab41a443bda9bc0d132228f37b73581cfa7 | 43,769 |
def amount_in_location(obj, user):
"""
Returns how many instances of this product
are at the current user's location
"""
return obj.get_amount_stocked(user) | 4b722cb9e5721cbc2c7d87ff30046087853cd5c0 | 43,770 |
def getRayCircleIntersections(startPoint, direction, center, radius):
"""
Calculate distances, from start, where a ray intersects a circle.
Returns a list of distances of length 0, 1 or 2.
The smallest distance always appears 1st and can be negative to represent the case of the intersection being "b... | ae8c67aa80c65a94bffec0542523ca42ffd8adb9 | 43,771 |
def ip_attributes(system, request, row, row_counter, model):
""" IP addresses are set depending on config """
# remove existing IP addresses for this system (not relevant for newly created systems)
if model.csv_remove_ip:
# remove many to many relation between system and ip without deleting existin... | 72c43f970a7ffcf222c5dfd8f5a5b6d337d2c3fd | 43,772 |
def is_tree_super_balanced(root):
"""Check if the tree is super balanced or not."""
d_max = depth_of_tree(root)
d_min = depth_of_tree(root, False)
if d_max - d_min > 1:
return False
else:
return True | d3e9c9c7440d7b2c63bf02b43bfc15a51821c3f7 | 43,773 |
def load_user(user_id):
"""This function loads the user."""
user = session.query(User).filter_by(id=user_id).first()
if not user:
flash('invalid username or password')
abort(400)
return user | 4ea98d86eb7abac727d4e0c0e32530753176f12c | 43,774 |
def CombinatorialAuction(
df,
id_label="id",
price_label="price",
element_label="element",
buyer_label="buyer",
limit=-1,
**kwargs,
):
"""
組合せオークション問題
要素を重複売却せず、購入者ごとの候補数上限を超えないように売却金額を最大化
入力
df: 候補のDataFrameもしくはCSVファイル名
id_label: 候補番号の属性文字
price_l... | cb860df0093ad243a834322761815939b9220f80 | 43,775 |
def format_string():
"""Returns the format string of the binary file"""
return "IIccccI?cccc" | f833be1ff5ffcbc538ba0b785e9fe43c0513b688 | 43,776 |
def crear_actualizar_ciudadano_reniec(numero_documento, uuid=None):
"""
Obtiene datos de ciudadano desde RENIEC
:param numero_documento: Número de documento a consultar en RENIEC
:param uuid: UUID de ciudadano a actualizar
:return: ciudadano
"""
verificar_conexion_internet()
ciudadano ... | 05d7bef4719537ba08424fca95f47b6b57fd60c3 | 43,777 |
def obj_box_zoom(
im, classes=None, coords=None, zoom_range=(0.9,
1.1), row_index=0, col_index=1, channel_index=2, fill_mode='nearest',
cval=0., order=1, is_rescale=False, is_center=False, is_random=False, thresh_wh=0.02, thresh_wh2=12.
):
"""Zoom i... | 1669ee2b2aae25dd16141b040cfb28f358bee82d | 43,778 |
def view_points_in_water(reconstructor, cam_id, pts3d, water, distorted=True):
"""
pts3d : (N,3) array of 3D points
returns:
(2,N) projection of 3D points
"""
assert isinstance(water, WaterInterface)
pts3d = np.array(pts3d)
assert pts3d.ndim == 2
assert pts3d.shape[1] == 3 # pt... | bee3d04674d3562d25766a30bc17a9c47eefbdc8 | 43,779 |
from .variable import Variable
from typing import Hashable
from typing import Mapping
from typing import Union
from typing import Tuple
from typing import Optional
def isel_variable_and_index(
name: Hashable,
variable: "Variable",
index: Index,
indexers: Mapping[Hashable, Union[int, slice, np.ndarray,... | ef98d01bfd4b034df31a0d4a872a45f0b5767b81 | 43,780 |
def respostas_iguais(r1,r2):
"""
respostas_iguais: resposta x resposta --> logico
respostas_iguais(r1,r2) devolve o valor verdadeiro se as respostas r1 e r2
contiverem os mesmos tuplos, e falso caso contrario.
"""
return resposta_string(r1) == resposta_string(r2) | aafbef254acd7a3d7910caa113816ac37d23efae | 43,781 |
def getCountryData(df):
"""
Implement a function to get counts of data based on show type
"""
country_df = df[["country","type","index"]]
country_df = country_df.groupby(['country','type']).count().unstack()
country_df.columns = ['Movie','TV Show']
country_df = country_df.reset_index().filln... | bde3247bc95c4914d3b665225aee9dd2a0bfe2b6 | 43,782 |
def GetBptEA(n):
"""
Get breakpoint address
@param n: number of breakpoint, is in range 0..GetBptQty()-1
@return: addresss of the breakpoint or BADADDR
"""
bpt = idaapi.bpt_t()
if idaapi.getn_bpt(n, bpt):
return bpt.ea
else:
return BADADDR | baaf2f086ac0b9869236ad582a290ede568446e9 | 43,783 |
import warnings
def flexible_pileup(features, data_select, data_snip, mapper=map):
"""
TAKEN from cooltool.snipping.pileup -> patched in a fashion that allows differently sized
windows.
Handles on-diagonal and off-diagonal cases.
Parameters
----------
features : DataFrame
Table of ... | 925a917708111edea33bca38c32e8ce1df959229 | 43,784 |
def delete_customer(request, customer_id):
"""deleting customer"""
# verify that the calling user has a valid token
token = request.headers.get('Token')
if token is None:
return request_response(badRequestResponse, ErrorCodes.INVALID_CREDENTIALS, "Token is missing in the request headers")
#... | 15de13abf8d3b251d10c01ef13693e6d2c2f8a67 | 43,785 |
def list_conferences_groups(request_ctx, group_id, per_page=None, **request_kwargs):
"""
Retrieve the list of conferences for this context
This API returns a JSON object containing the list of conferences,
the key for the list of conferences is "conferences"
Examples:
curl 'https:... | 03df9fa860dae497a8797813927f27d5062663b4 | 43,786 |
def all_success(mgmt_commands):
"""Determines if all child processes were successful.
Args:
mgmt_commands : A list of all Command objects
Returns:
True if all child processes succeeded
"""
for mgmt_command in mgmt_commands:
if mgmt_command.retcode != 0:
return False
return True | 1bc0d32491711e0d20106f1f294093b30e77bd55 | 43,787 |
import re
def get_nameservice(hdfs_site):
"""
Multiple nameservices can be configured for example to support seamless distcp
between two HA clusters. The nameservices are defined as a comma separated
list in hdfs_site['dfs.nameservices']. The parameter
hdfs['dfs.internal.nameservices'] was introduced in Had... | 65a86316112a94b6f361daea88cd5658d8019668 | 43,788 |
def checkChanList(chanprof, profile, chanList):
""" Return non-zero value if any element of chanlist is not in the channel list of profile
"""
for c in chanList:
if c not in chanprof[profile-1]:
return 1
return 0 | face301b61634bcff8721fcafb1cbc09e2bd0e5f | 43,789 |
from typing import List
from pathlib import Path
def someweta_de(data: List[List[str]], model=None) -> (
List[List[str]], List[str]):
"""
model (Default: None)
Preloaded instance of the NLP model. See nlptasks.pos.get_model
"""
# (1) load model
if not model:
model = somewet... | 43efb04e17f830114996acaeead91ba8f017047c | 43,790 |
def contest_login(request, contest_id):
"""Generates a contest-local SID for a contest."""
sid = srvctl_sid(request)
hdrs, resp = _runcgi(request, "new-master", SID=sid, action=3, contest_id=contest_id)
if "Location" not in hdrs:
if _xpath(resp, "//title").text.endswith("Permission denied"):
... | 47dd7d68ef04aab671a9e85533cf8647cb6d53ea | 43,791 |
def is_pyflakes_available():
"""
Checks if pyflakes is availalbe.
:returns: **True** if we can use pyflakes and **False** otherwise
"""
return _module_exists('pyflakes.api') and _module_exists('pyflakes.reporter') | 886af673c6dca3691f42945d91ce95bb427ed04f | 43,792 |
import json
def load_polys(jsonfile):
"""load info of polygons(=puzzle state) from json file.
Args:
jsonfile (pathlib.Path): json file to be loaded
"""
try:
with jsonfile.open('r') as fi:
jsondata = json.load(fi)
except (IsADirectoryError, FileNotFoundError, json.JSON... | 7d33d4b1d1f97fd8152b4723f961b0be055dbb25 | 43,793 |
def make_tree_defs(mod_files_list):
"""get a list of 2-uple (module, list_of_files_which_import_this_module),
it will return a dictionary to represent this as a tree
"""
tree_defs = {}
for mod, files in mod_files_list:
node = (tree_defs, ())
for prefix in mod.split('.'):
... | 40b10ccb940af9c6c7bb48ba5b07b59036914dbd | 43,794 |
def verify_identifiers(identifiers, n_items):
"""Ensure that identifiers has a compatible length and that its elements
are unique"""
if identifiers is None:
return identifiers
identifiers = np.array(identifiers, copy=False)
# Check length for consistency
if len(identifiers) != n_items:... | b84796e411ae9937855f4de23292d362823ea655 | 43,795 |
import json
def image_get_class_cn_dict(cn_imagenet_class_path):
"""
获得分类的中文对照词典
:param cn_imagenet_class_path:
:return:
"""
fn = open(cn_imagenet_class_path, "r", encoding='UTF-8')
str_json = fn.read()
dic = json.loads(str_json)
fn.close()
return dic | 190cb80d929bdef3fe33b082fa12149c1c290446 | 43,796 |
def reveal_type(value: _T) -> _T:
"""Inspect the inferred type of an expression.
Calling this function will make pyanalyze print out the argument's
inferred value in a human-readable format. At runtime it does nothing.
This is automatically exposed as a global during type checking, so in
code that... | fa51fe603fa1d60dbf48526e3e15cdba8303ff5e | 43,797 |
def f5_update_policy_method_command(client: Client, policy_md5: str, method_id: str,
method_name: str, act_as_method: str) -> CommandResults:
"""
Update allowed method from a certain policy..
Args:
client (Client): f5 client.
policy_md5 (str): MD5 hash of... | 553c9b0efa8fa35c099caefc8a7699a327f37e04 | 43,798 |
def convertKerasType(dtype):
"""Convert a numpy type into a tensorflow type
"""
if dtype not in O.mapping.NP_TYPE_TO_TENSOR_TYPE:
logger.warning("Unknown data type %s is treated as float", str(dtype))
dtype = np.dtype('float32')
return O.mapping.NP_TYPE_TO_TENSOR_TYPE[dtype] | d2995303e22afc7d7a92e95dd4131a26ad289388 | 43,799 |
from typing import Tuple
def do_ed_lines_mod_job(port_input_name: str, min_line_length: int, operator: str,
gradient_thr: int = 36, anchor_thr: int = 8, scan_interval: int = 1, line_fit_err_thr: int = 1,
max_edges: int = 5000, max_points_edge: int = 500, max_lines: int ... | bd674664170636d09d3db845d54c190fe696ac87 | 43,800 |
def hess_smith(x_coord,y_coord,alpha,Re,npanel,batch_analyis):
"""Computes the incompressible, inviscid flow over an airfoil of arbitrary shape using the Hess-Smith panel method.
Assumptions:
None
Source: "An introduction to theoretical and computational
aerodynamics", ... | b7ea2e94366002fb1a772f9f86a9b04d57d0e8fa | 43,801 |
def filter_folders_by_predicate(walk: OsWalk, predicate: WalkPredicate, abs_path: bool = False, prune: bool = False) -> OsWalk:
"""
Filters a walk's folder collection using the given predicate.
:param walk: The walk 'object' to filter
:param predicate: The condition to check; should take in the folder ... | 10e4a35bc6a9e1101a610a0fb8133aa14396a7ac | 43,802 |
def get_default_baseconf_settings_filenames():
"""Returns the filename string where the basic configuration will be read from.
:return: filename string
"""
return (_baseconf_settings_filename,_baseconf_settings_filename_comments) | 0f026dd4f3f330cc2cd92311818819de37baaab2 | 43,804 |
def sample_tag(user, name='main course'):
""" create and return a sample tag"""
return Tag.objects.create(user=user, name=name) | 106fe0b97b2a311d62ec6c14099bec2d6ef4a110 | 43,805 |
def markUnexpectedSigmaPeaks(x, y, x_sigma, y_sigma, status, max_sigma, min_sigma, r_neighbors):
"""
For each peak, check if it has an unexpected sigma. If it does not mark
the peak for removal (by setting the status to ERROR) and the neighbors
as running.
"""
assert (x.flags['C_CONTIGUOUS']),... | db93e5a210df9db5852285fbcfbe3cd8c330424a | 43,806 |
def cron_clean_view():
"""Clean-ups every outdated article or bias pair."""
return {"cleaned": clean_articles()} | 74a9f5bb69643380faa3ac288bc7028024940f4a | 43,807 |
def calculate_plane_histogram(plane, doseplane, dosegridpoints, maxdose, dd,
id, structure, hist):
"""Calculate the DVH for the given plane in the structure."""
contours = [[x[0:2] for x in c['data']] for c in plane]
# Create a zero valued bool grid
grid = np.zeros((dd['ro... | 9866588a25c90fbe7fdd0db69cef413074081764 | 43,808 |
def log_model(spark_model, artifact_path, conda_env=None, jars=None, dfs_tmpdir=None,
sample_input=None):
"""
Log a Spark MLlib model as an MLflow artifact for the current run. This uses the
MLlib persistence format, and the logged model will have the Spark flavor.
:param spark_model: Pip... | fccd98f6ff2a52491d850b5eba4d1ecba3065df7 | 43,809 |
def acorr(x, axis=-1, onesided=False, scale='none'):
"""Compute autocorrelation of x along given axis.
Parameters
----------
x : array-like
signal to correlate.
axis : int
axis along which autocorrelation is computed.
onesided: bool, optional
if True, only returns the ri... | 11b2c4495b7f3b73d63000c7ccd694f0cfdd4c65 | 43,810 |
def jsonp(func):
"""
Decorator for the following JSON API functions for the connection test.
"""
def dec(request, *args, **kw):
resp = func(request, *args, **kw)
cb = request.GET.get('callback')
if not cb:
cb = ''
resp['Content-Type'] = 'application/javascrip... | ccf8bfbffdd1ac865eb2d001f212925c332f1f82 | 43,811 |
def vtkmatrix_to_numpy(matrix):
"""
Copies the elements of a vtkMatrix4x4 into a numpy array.
:param matrix: The matrix to be copied into an array.
:type matrix: vtk.vtkMatrix4x4
:rtype: numpy.ndarray
"""
m = np.ones((4, 4))
for i in range(4):
for j in range(4):
m[i,... | 779e0cad713953ddab1edb4b09b6a3d9d8006413 | 43,812 |
def PnCPjInvDyn(robot, q, qdot, qddot, s_jp, s_jd):
"""
q: np.array, qdot: np.array, qddot: np.array, s_jp: np.array, s_jd: np.array
"""
# print(qddot[0])
# print(qddot[1])
assert IsClose(qddot[0], qddot[1])
mass, mass_inv, b, g, lambda_i, jac_i_bar, null_i = UpdateRobotSystem(
rob... | 3c8dda501f64e77c8cbf019d46e0ea7ca3c8dd71 | 43,813 |
from typing import Dict
def Tbeam(
depth: RealNumber,
web_thickness: RealNumber,
flange_width: RealNumber,
flange_thickness: RealNumber,
) -> Dict[str, float]:
"""
Calculates the Centroid, Area, Moment of Inetia, and Section Modulus of a T beam.
The assumed orientation is with the dep... | 299df21bbd0ee6bd0bb92f717ee511eb5ee8a7e5 | 43,815 |
def get_base_required_field_types():
""" Get field types for UI asset required fields.
2016-08-24: removed 'coordinates': 'floatlist',
2016-08-26" remove 'augmented': 'bool', 'Ref Des': 'string','hasDeploymentEvent': 'bool','remoteDocuments': 'list',
added 'editPhase' can have values: EDIT, STAGED, OPER... | 0cb8b6041aeaf25efe8ad29e3986237efe5e382f | 43,816 |
def _index_p(es_client: elasticsearch.Elasticsearch, index_name: str) -> bool:
"""
Checks if the given index exists.
"""
indices = IndicesClient(es_client)
return indices.exists(index_name) | 93946793a51ac6a19ddf93d3bc99c84a13403fc0 | 43,817 |
def histogram(arg, nbins=None, binwidth=None, base=None, closed='left',
aux_hash=None):
"""
Compute a histogram with fixed width bins
Parameters
----------
arg : numeric array expression
nbins : int, default None
If supplied, will be used to compute the binwidth
binwidth... | f835099297f3c4062e29478cd4289b8fe8a6adcc | 43,818 |
def load_cam_params(path):
"""Loads camera parameters from a JSON file.
:param path: Path to the JSON file.
:return: Dictionary with the following items:
- 'im_size': (width, height).
- 'K': 3x3 intrinsic camera matrix.
- 'depth_scale': Scale factor to convert the depth images to mm (optional).
"""
... | 7564e81de1c3451bff47d61dfd81b07d5684298d | 43,819 |
from typing import Set
def _create_new_wells(field_id: int, well_names: Set[str]) -> None:
"""Create new wells if not exists"""
return Well.objects.bulk_create(
[Well(name=well_name, field_id=field_id) for well_name in well_names], ignore_conflicts=True
) | 5c085afa0be5e01c0d57e2a177060dda202659ca | 43,820 |
import _io
def _shell_lookup(args):
"""This function is called when the script is used from command line:
[jakni@nissen scripts]$ python unifetch.py -a A6XGL2 -ncis
Name: A6XGL2_HUMAN
Data class: Unreviewed
TaxID: 9606
Sequence: MALWMRLLPLLALLALWGPDPAAAFVNQHLCGSHLVEALYLVCGERGFFYTPKTRRE [ ... ... | 64a12b15f9188bbc0b3a6608f1dbfeb824c1fed3 | 43,821 |
def get_feature_symbolic_learning(df, gp_config):
"""
Parameters
----------
df: pd.DataFrame,the input dataFrame.
gp_config: GPConfig object, the config object of gplearn.SymbolicTransformer.
Returns
-------
df_t: pd.DataFrame, df with the features of SymbolicTransformer trans.
... | abda49c0c16934f631a50a39c3debc6a2a439dae | 43,822 |
import torch
def top_k_top_p_filtering(logits, top_k=0, top_p=0.0, filter_value=-float('Inf')):
""" Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
Args:
logits: logits distribution shape (vocabulary size)
top_k > 0: keep only top k tokens with highest ... | 621d9622e87063edc9918655061550e5cbdd5bb8 | 43,823 |
def compute_angular_error(input_: np.array, target_: np.array) -> float:
"""
Args:
input_: N*2 numpy array containing the predicted yaw and pitch angle
target_: N*2 numpy array containing the corresponding target_ yaw and pitch angle.
Returns:
Average angular error (in degree)
""... | 05feac332b52885c39c463c7c030fa65e8afc4e9 | 43,824 |
import json
from datetime import datetime
def messages(request):
""" need to check user login or not"""
if request.POST.get("mode") == "get_messages":
data = get_messages(request)
return HttpResponse(json.dumps(data))
if request.POST.get("post_message"):
data = {
"messa... | cc87f8b4d28d68451d2ae94b483859f429585476 | 43,825 |
from typing import Dict
def from_strings_to_dict(data: Dict[str, str]):
"""
Makes a model for a given list of string like :
"mission.document.name": "test" => {
mission: {
document: {
name: "test"
}
}
}
This way we will merge the model with ... | 78f8295f84b294827a7279887587cd9ccbf8a2ec | 43,826 |
def to_rgb(img):
"""
Converts the given array into a RGB image. If the number of channels is not
3 the array is tiled such that it has 3 channels. Finally, the values are
rescaled to [0,255)
:param img: the array to convert [nx, ny, channels]
:returns img: the rgb image [nx, ny, 3]
... | b5e4a2dc8d0bc6c8590f4e09db8b2d6b26c2e120 | 43,827 |
from datetime import datetime
def stopwatch():
"""Track the running time."""
if not hasattr(stopwatch, "start"):
stopwatch.start = datetime.now()
return str(datetime.now() - stopwatch.start)[:-7] | bfd8ff043661dfad1c81f84ac3b86eb10b61f14d | 43,828 |
from typing import List
from typing import Tuple
def get_list_probs(
mutation_list: List[Tuple[Mutation]],
mutate_probs: SequenceProbsList,
length_mutations: List[int],
) -> Tuple[List[List[float]], List[List[float]]]:
"""This function build a list of mutate and native probabilities to compute
the... | b5642dbcb912237a58e1feb34f7c07e7d946e37e | 43,829 |
def centerOfRect(rect):
"""
Returns the center of NSRect rect as an NSPoint.
"""
x = rect.origin.x + rect.size.width * 0.5
y = rect.origin.y + rect.size.height * 0.5
return NSPoint(x,y) | 5bc670d3f4bfd888d51e65039d3aa9eae37a56ca | 43,830 |
import math
def gcj02towgs84(coor):
"""
GCJ02(火星坐标系)转GPS84
:param lng:火星坐标系的经度
:param lat:火星坐标系纬度
:return:
"""
lng = coor[0]
lat = coor[1]
if out_of_china(lng, lat):
return lng, lat
dlat = transformlat(lng - 105.0, lat - 35.0)
dlng = transformlng(lng - 105.0, lat - ... | b79280228ee3fb2351edd44e1aa44037c4e7235c | 43,831 |
import numpy
def encode_data(labeldata,hot_vector = 1):
"""
Takes array of label data, and transforms it into array of one-hot encoded vectors.
Args:
labeldata (iterable): Array or list of data labels
hot_vector: value assingned for hot, default 1
Returns:
... | 92f4bb37428fa2023047abf9d368876bb6d529e5 | 43,832 |
from typing import Union
def get_delay(delay_str: Union[str, int]) -> float:
"""Get the delay from an api call
Args:
json (List[str]): The delay from the json body
Returns:
int: The delay in seconds, 0 if no delay was found
"""
delay = 0
# Already in seconds
if isinstanc... | 41b5cbbad4d153509d7ce30a251a161dfe643218 | 43,833 |
def is_polymorphic(v, on_types=None):
"""
Tests if a function is polymorphic. If `on_types` is provided, checks
to see if a function is generic on the set of provided types.
"""
if isinstance(v, Function) and v.polymorphic:
if on_types is not None:
gens = set(on_types)
... | 4376c475b779e2d54c51077103effe96b9fb5f90 | 43,834 |
import random
def get_random_word(min_word_length):
"""Get a random word from the wordlist using no extra memory."""
num_words_processed = 0
curr_word = None
with open(WORDLIST, 'r') as f:
for word in f:
if '(' in word or ')' in word:
continue
word = wor... | 5060073041076a4989c32fce1a7c267a88e028b5 | 43,835 |
def get_copysetup(copytools, copytool_name):
"""
Return the copysetup for the given copytool.
:param copytools: copytools list from infosys.
:param copytool name: name of copytool (string).
:return: copysetup (string).
"""
copysetup = ""
for ct in copytools.keys():
if copytool_... | 1181352a178f954d17cf7d7b8fc6c798b441d4a6 | 43,836 |
def last_occurence_of_tag_chain(sequence, tag_type):
"""
Takes a sequence of tags. Assuming the first N tags of the sequence are all of the type tag_type, it will return
the index of the last such tag in that chain, i.e. N-1
If the first element of the sequence is not of type tag_type, it will return -... | 0edcf25e18ff4b3701f92c13bab2b634b738c158 | 43,837 |
def supports_parenting():
"""Does this Engine support parenting of objects, aka nesting of
transforms or attaching objects.
This is important when sending transformation values.
"""
return False | 0dd8fc9e5c1917f10cf9d09a1fb75b470abc6eec | 43,839 |
def dec_to_deg(degree: float, minute: float, second: float) -> float:
""" Convert Dec from (deg, arcmin, arcsec) -> degree """
deg_sign = 1. if (degree + np.absolute(degree)) > 0 else - 1.
return deg_sign * (np.absolute(degree) + minute / 60. + second / 3600.) | 5ca7c3b36a16c7d603c8aae1100431b15f3323de | 43,840 |
def sigmoidDerivative(X):
""" input : array of features
output : Sigmoid derivative of the input """
return stable_sigmoid(X) * (1.0 - stable_sigmoid(X)) | 21f4ac50d04da07e7525ded5954f890131cee6d4 | 43,841 |
def extract_sub_type(vfm_array):
"""
Extracts the subtype for each element of the array. Its
interpretation depends on whether the feature is an aerosol,
cloud, or Polar Stratospheric Cloud.
Aerosol:
0 = not determined
1 = clean marine
2 = dust
3 = polluted co... | 446f3ebc8a46e35bde092c9ec22e4748d422d0ec | 43,842 |
def set_enabled_equivalencies(equivalencies):
"""
Sets the equivalencies enabled in the unit registry.
These equivalencies are used if no explicit equivalencies are given,
both in unit conversion and in finding equivalent units.
This is meant in particular for allowing angles to be dimensionless.
... | aa338c62b16764a2b7b4f7116a51867238480445 | 43,843 |
def tune_clf_binary_grid(X, y_true, clf_name, n_splits_cv=5, refit_score='precision'):
"""
Tune a classifier using grid search cross validation
"""
scorers = {
'precision': metrics.make_scorer(metrics.precision_score),
'recall': metrics.make_scorer(metrics.recall_sco... | b7c3ec61d04accd342c33c901a9056c9e76d426e | 43,846 |
def ESMP_GridGetCoordBounds(grid, staggerloc=constants.StaggerLoc.CENTER,
localde=0):
"""
Preconditions: An ESMP_Grid has been created and coordinates have
been added via ESMP_GridAddCoord().\n
Postconditions: Two numpy arrays containing the grid coordinate
... | 46362dd13a37ed0f9b9ec88c6c96dae508aab20c | 43,847 |
def set_user_stared(oauth_id, uindex):
"""
设置用户收藏，保存一年时间
"""
key = settings.REDIS_USER_STAR_KEY % (oauth_id, uindex)
return R.set(key, '1', 365 * 24 * 3600) | 761bae38a3f1fa052ff337e6d7d71d64efebd601 | 43,848 |
def isChar(ch):
"""This function is DEPRECATED. Use xmlIsChar_ch or xmlIsCharQ
instead """
ret = libxml2mod.xmlIsChar(ch)
return ret | 3d044a38070e753107a940883790d262a6006871 | 43,849 |
def scipy_graduate_walk(*args, **kwargs):
"""Scipy-compatible graduate_walk function wrapper.
parameters:
args[0]: target, function to be minimized
args[1]: x0, starting point for minimization
dx=1e-8: step in change of the point
dx_start=0.1: starting value for dx step. Must be... | d1339eb0c879aa58e508fe0744edb9d12f1be515 | 43,850 |
from pathlib import Path
def extract_doc(pdf_path, window_len):
"""Create a Document with features extracted from a pdf."""
pdf_path = Path(pdf_path)
tokens = tokenize_pdf(pdf_path)
# Remove tokens shorter than three characters.
df = tokens[tokens["token"].str.len() >= 3]
df = add_base_feature... | 4ccdc178f467490eadbd61f9d484867732b4f4a0 | 43,852 |
def get_version(rel_path):
"""Fetch the version of package by parsing the __init__ file
"""
for line in read(rel_path).splitlines():
if line.startswith('__version__'):
delim = '"' if '"' in line else "'"
return line.split(delim)[1]
else:
raise RuntimeError("Unable... | d034e637301c2cbfd9a7f8ab7f94d091789a8648 | 43,853 |
def get_job_class_from_module(user_bp_module):
"""Returns Job class given a module"""
UserJob = None
for item in dir(user_bp_module):
obj = getattr(user_bp_module, item)
if isinstance(obj, (type(Job))):
if obj.__bases__[0] == Job:
UserJob = obj
return UserJo... | 27e8b672b969c3f0a36ccb5c7711b80f314392c3 | 43,854 |
def welford_simulatenous_update(prev_avg, prev_M2, new_value, count):
"""Perform Welford's simulatenous update on mean and variance
M2 = n*sigma_n^2
Parameters
----------
prev_avg: array_like
Vector of (count-1)th step averages
prev_M2: array_like
Vector of (count-1)... | b7b02af85e03d0b0fce8b035d24fb0872134ee39 | 43,855 |
def gitCommitId(path, ref):
"""Return the commit id of *ref* in the git repository at *path*.
"""
cmd = gitCmdBase(path) + ['show', ref]
try:
output = runSubprocess(cmd, stderr=None, universal_newlines=True)
except sp.CalledProcessError:
print(cmd)
raise NameError("Unknown gi... | 9fe5ab16bfa0da97146bd2b2c5b647482dcf56ef | 43,860 |
def cvFree(*args):
"""cvFree(void ptr)"""
return _cv.cvFree(*args) | e518b9e502f7620d81a3c311d3e4200676de4621 | 43,861 |
def make_constant_schedule(step, cutoff_idx=np.inf):
"""
step - - - ▖▖▖▖▖▖▖▖▖▖▖▖
0.0 - - - - - - - - - -▖▖▖▖▖▖
| |
0 cutoff_idx
"""
def schedule(n):
if n >= cutoff_idx:
return 0.
return step
return schedule | 737e9e6995c252ac2b242cb756770a92856f659a | 43,862 |
def delete_custom_data(request_ctx, user_id, scope, ns, **request_kwargs):
"""
Delete custom user data.
Arbitrary JSON data can be stored for a User. This API call
deletes that data for a given scope. Without a scope, all custom_data is deleted.
See `UsersController#set_custom_data <https://g... | 3aa7256294cf4ce64503c70931d4fbbbe3852b6e | 43,863 |
from datetime import datetime
def clean_date(date):
"""
Ensure a date has the correct English format.
:param (str) date: date to clean.
"""
try:
dt = datetime.datetime.fromisoformat(date)
except ValueError:
return ''
else:
return datetime.datetime.strftime(dt, "%m/... | 3251b7620446ed689115631e85984f7479066ab6 | 43,865 |
def returnCAM(feature_conv, weight_softmax, class_idx):
"""create cam image"""
# generate the class activation maps upsample to 256x256
size_upsample = (256, 256)
nc, h, w = feature_conv.shape
output_cam = []
for _ in class_idx:
cam = weight_softmax[class_idx].dot(feature_conv.reshape((n... | e0039bfd3c3b47716b78db685e6191dab99bdfa4 | 43,866 |
import ast
import collections
import six
def to_str(tree, astlib=ast):
"""Convenient function to get the python source for an AST."""
class Printer(annotate.get_base_visitor(astlib)):
"""Traverses an AST and generates formatted python source code.
This uses the same base visitor as annotating the AST, b... | e2998c263ffed4a8dc3d0745d99f558b4b93d308 | 43,867 |
from pathlib import Path
import errno
import json
def _load_config(path: str) -> dict:
"""Load the JSON formatted config file.
Parameters
----------
path : str
The path of the JSON file we should load.
Return
------
dict
The parsed data from the JSON file.
"""
pat... | f1b9a0f8b902c5bfe1b282f589f5bb337cf6bcd9 | 43,868 |
def _add_dummy_encoder(circ):
"""add a dummy parameterized gate"""
para_name = circ.para_name
index = 0
while True:
name = f'_d_{index}'
if name not in para_name:
dummy_circ = Circuit().rx(name, 0).no_grad()
return dummy_circ + circ, name
index += 1 | 041074ff48dea4318165328e6a1e1973bcee7741 | 43,869 |
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