content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
def load(path, has_ids=True, has_header=True, has_labels=True, delimiter=","):
"""
Loads a data set from a delimited text file.
Args:
path:
the path to the file containing the data set.
has_ids: boolean
set to False if the first column in the loaded dataset should not be
... | 79f336359bcc7d87f5faecedb27dd314b33a2db9 | 3,599,763 |
import re
def natural_key(some_string):
"""See http://www.codinghorror.com/blog/archives/001018.html"""
return [int(s) if s.isdigit() else s for s in re.split(r'(\d+)', some_string)] | 147d36719a899fbf07471af2fe9fd6b1a2440a27 | 3,599,764 |
def add_account_receive(account_receive_data):
"""
添加信息
:param account_receive_data:
:return: None/Value of user.id
:except:
"""
return db_instance.add(AccountReceive, account_receive_data) | e029e00b0cc429e42e15be8badf2a5f69be70f2f | 3,599,765 |
def handle_extends(tail, line_index):
"""Handles an extends line in a snippet."""
if tail:
return 'extends', ([p.strip() for p in tail.split(',')],)
else:
return 'error', ("'extends' without file types", line_index) | 3b20cc5719d123e36db954c5ffc4537df64f268a | 3,599,768 |
def bin_phase_curve(phase, data, statistic="median", bins=20):
"""
Bin phase curve.
"""
bin_medians, bin_edges, _ = binned_statistic(
phase, data, statistic=statistic, bins=bins
)
bin_width = bin_edges[1] - bin_edges[0]
bin_centers = bin_edges[1:] - bin_width / 2
return bin_cent... | 7719fee2f5ab716e542a297e462424f660d865cc | 3,599,769 |
def get_frames_from_sequence(event_list, num_events_per_frame, data_format,
frame_gen_method, is_x_first, is_x_flipped,
is_y_flipped, maxpool_subsampling,
do_clip_three_sigma, chip_size,
target_shape=None... | 7ce5d741bc1374e953bf4423f4618562a73c0861 | 3,599,770 |
def pad(img: np.ndarray, target_height: int, target_width: int) -> np.ndarray:
"""Pads the image to have the target size for the network input."""
return np.pad(img, [(0, max(0, target_height-img.shape[0])),
(0, max(0, target_width-img.shape[1]))],
constant_values=0) | 7cb9fd8c9d82b669b340162bfa231f481448acbd | 3,599,771 |
def entryID(entry):
"""Try to make an unique ID for entry."""
id = None
if entry.get('guidislink', None):
id = entry.get('id', None)
if id is None:
id = entry.get('link', None)
if id is None:
raise Exception
return id | f1ca161d60db7197e8b51f40585d74690a00c004 | 3,599,773 |
import torch
def repackage_hidden(h):
"""Wraps hidden states in new Tensors,
to detach them from their history."""
if isinstance(h, torch.Tensor):
return h.detach()
else:
return tuple(repackage_hidden(v) for v in h) | b435d7537e4418d3877db55077285d35a24e46b3 | 3,599,774 |
def cityblock(u, v):
"""
d = cityblock(u, v)
Computes the Manhattan distance between two n-vectors u and v,
\sum {u_i-v_i}.
"""
u = np.asarray(u)
v = np.asarray(v)
return abs(u-v).sum() | 07553804b20a0269b959ecccead4206fc372cdf2 | 3,599,776 |
def determineThresholdCrossing(latencies, baselineLatencies, alpha=0.001):
"""
Determines when the latencies cross the significance level designated by alpha.
Confidence intervales of the baseline latency distribution are determined by applying the Dvoretzky-Kiefer-Wolfowitz inequality.
Inputs:
... | 18b5eacf5458fdf15bea7f92836afe02409e783a | 3,599,777 |
def minus(evaluator, ast, state):
"""Evaluates "-expr"."""
return -evaluator.eval_ast(ast["expr"], state) | bf945c368e84d3badd7a90bfce74cb3c89b6890a | 3,599,778 |
from typing import List
def _validate(vector: np.ndarray, sizes: List[int], name: str):
"""Validate vector has one of the expected sizes."""
sizes = [sizes] if type(sizes) == int else sizes
if vector.shape[0] in sizes:
return np.copy(vector)
else:
sizes_str = ', '.join(["(%d,1), (%d)" ... | c1cb8be31076291b2fe5ef134e34230dffccd6ac | 3,599,779 |
import torch
def query_ball_point(radius, nsample, xyz, new_xyz, itself_indices=None):
""" Grouping layer in PointNet++.
Inputs:
radius: local region radius
nsample: max sample number in local region
xyz: all points, (B, N, C)
new_xyz: query points, (B, S, C)
itself_in... | c304988065bd71a458f6b62fd322a75319b97a87 | 3,599,780 |
def angle_M(M_r: float, n: float, t_r: float, t: float) -> float:
"""
M = Mr + n * (t - tr)
:param M_r: mean anomaly at tr
:type M_r: float
:param n: mean movement
:type n: float
:param t_r: reference time
:type t_r: float
:param t: time
:type t: float
:return: mean anomaly ... | c99e5dacffea44fa7fadfaebaf6ce734eea81e16 | 3,599,781 |
from typing import Union
from typing import Dict
import torch
def convert_double_to_float(data: Union[Dict, torch.Tensor]):
"""
Utility function to convert double tensors to float tensors in nested dictionary with Tensors
"""
if type(data) is torch.Tensor and data.dtype == torch.float64:
retur... | 737edbb9625b6cc1dbce425f7e8df8e06cb80410 | 3,599,782 |
import re
def is_transaction_expired_exception(e):
"""
Checks if exception occurred for an expired transaction
:type e: :py:class:`botocore.exceptions.ClientError`
:param e: The ClientError caught.
:rtype: bool
:return: True if the exception denote that a transaction has expired. False other... | c836521a7137b61ad8443157824ca5da59de65e3 | 3,599,783 |
def otsu_triangles(img, KERNEL_SIZE = 5):
""" Transforms the image using otsu binarizarion method, similar to the "otsu" function on this module.
The only difference, however, is that this version draws a small triangle (5 percent of img's width) on each of the four corners,
and applies floodFill to all of ... | ee57256a1a8574340c0a4e316618c796a74e97d7 | 3,599,784 |
def adjust_ws_gs_comp(ws, bms, gs):
"""Adjusts the compatibility of widths and groups."""
ws_bot = [int(w * b) for w, b in zip(ws, bms)]
gs = [min(g, w_bot) for g, w_bot in zip(gs, ws_bot)]
ws_bot = [quantize_float(w_bot, g) for w_bot, g in zip(ws_bot, gs)]
ws = [int(w_bot / b) for w_bot, b in zip(ws_bot, bms... | 2790fb708162b369d9c016c0f2acbbc90a4f7d91 | 3,599,785 |
def convert_base64_exams_to_PIL(exams: list[str]):
"""
Convers a list of base64 images or pdfs into PIL Image objects
"""
exames_pil = []
for exam in exams:
if get_base64_datatype(exam) == "pdf":
exam = convert_base64_pdf_to_base_64_img(exam)
exames_pil.append(base_64_to... | fbf52936ab8be90a7fa01da38eb3e54401d3c367 | 3,599,786 |
def get_reverb_send(header: bytes) -> int:
"""Return reverb send value (0-100)."""
assert isinstance(value := _unpack(header, "REVERB_SEND"), int), type(value)
assert 0 <= value <= 100, value
return value | 733634443f8b9c7c8ae575bd5523b2af1cdee153 | 3,599,787 |
def stations_within_radius(stations, centre, r):
"""Function to return a list of all stations (type MonitoringStation) within radius r of geographic coordinate x"""
stationlist = []
for i in stations:
# Find distance from centre to station, if it is < r, add to list
dist = haversine(i.coord ... | 320a8d6a240023af9d2dae30a7ecde4dc2e54c84 | 3,599,788 |
from typing import List
from typing import Literal
from typing import Tuple
def parity_network(n: int, S: List[List[Literal[0,1]]]) -> List[CNOT]:
"""Implements the parity network algorithm of https://arxiv.org/pdf/1712.01859.pdf.
Specifically, it follows the pseudo-code of page 14."""
c = [] # List of cn... | 78b0e0197b0fccd14173c3f7162cb2021747eeb6 | 3,599,789 |
def _convert_room_label(room_name):
""" Convert room label from str to index, using the mapping defined by FloorNet"""
room_name = room_name.split('-')[0]
original_room_label_map = getRoomLabelMap()
room_name = room_name.replace(' ', '_').lower()
try:
room_label = original_room_label_map[ro... | 2ad86678e40465520bfc25d0b592c50704075a3b | 3,599,790 |
import re
def get_all_local_funcs(vba):
"""Get the names of all locally defined functions. Also get the names
of all defined constants. The constant names are saved in
core.strip_lines.defined_constants.
@params vba (VBA_Parser object) The olevba VBA_Parser object for
reading the Office file bein... | 600b0f1860b9026ec9179cd8586add231dea21f0 | 3,599,791 |
def get_legal_moves_lshift(size, mask, player, blank, shift_size):
"""
左シフトで石が置ける場所を取得
"""
tmp = mask & (player << shift_size)
for _ in range(size-3):
tmp |= mask & (tmp << shift_size)
return blank & (tmp << shift_size) | 42a259f21b2ae1c0c57007f939e5e7e935761b88 | 3,599,793 |
def _make_stacked_ensemble_pipeline(input_pipelines, problem_type, n_jobs=-1, random_seed=0):
"""
Creates a pipeline with a stacked ensemble estimator.
Arguments:
input_pipelines (list(PipelineBase or subclass obj)): List of pipeline instances to use as the base estimators for the stacked ensemble.... | 58fc0fbcd39a0896ae3a4721ce841b8ea2ad22ee | 3,599,794 |
def TokenEndBlockquote(depth=1):
"""
`TokenEndBlockquote` is used to denote that we are ending a blockquote.
This token will not render anything.
"""
return {
"type": "SpaceCharacters",
"data": "",
"_md_type": mdTokenTypes["TokenEndBlockquote"],
"_md_depth": depth,
... | e19142a780aa44f951980ce184dae068f6949629 | 3,599,795 |
import warnings
def _compute_angles_list(view_index_list, num_acquired_scans, total_angles, rotation_direction="positive"):
"""Return angles list from indexes list.
Args:
view_index_list (list[int]): Final index list after subsampling and time point selection.
num_acquired_scans (int): Total ... | 2c942044072a455b21b7d95ffc1f6b73f6331eb4 | 3,599,796 |
def discriminator_patch(input_image,
leaky_relu_alpha: float = 0.2,
reuse: bool = None,
scope: str = None,
dim: int = 64,
ks: int = 4):
""" Discriminator (Patch GAN)
Input 256 x 256 x 3 image... | 7ef1869f7404a2164660256cd7ac7d76ae8c9df9 | 3,599,799 |
def _get_user_and_accounts(access_token, cache_date):
"""
We cache API calls for the Coinbase `User` object and account data,
refreshing it once per day. We pass in `cache_date` which has the
current date, forcing an API call if the date changes (and eventually
evicting expired dates).
"""
c... | 98da0f4e3c9d9e9f30393a6badb3b00d3c05ea32 | 3,599,801 |
def parse_int(sin):
"""A version of int but fail-safe"""
return int(sin) if sin.isdigit() else -99 | 204cbcb01b6df1bbdd09af318fdfe90feb5fe68f | 3,599,802 |
def dirac_recon_joint_alg_fast(G, measurement, num_dirac, shape_b,
flatten_order='F',
noise_level=0,
max_ini=100, stop_cri='mse', max_inner_iter=20,
max_num_same_x=1, max_num_same_y=1):
"""
... | 5d17e31330c4ed52b194ff0649b7b9fd67abecdd | 3,599,803 |
def get_enrollments(case_trigger_info, case_config):
"""
DHIS2 allows tracked entity instances to be enrolled in programs
without any events, but CommCare does not currently have a mechanism
for that. Cases/TEIs are enrolled in a program when the first event
in that program occurs.
"""
case_... | 0af71a5655d4598d457479a1d4150f533c3dd23b | 3,599,804 |
def test_set_montage_mgh(rename):
"""Test setting 'mgh60' montage to old fif."""
raw = read_raw_fif(fif_fname)
eeg_picks = pick_types(raw.info, meg=False, eeg=True, exclude=())
assert list(eeg_picks) == [ii for ii, name in enumerate(raw.ch_names)
if name.startswith('EEG')]... | 77cb783dfc1f8eb9967156545417818621571345 | 3,599,805 |
def translate_mixmm(mix_mm, session):
"""
Translate mixmm into phenotype and into percentages and return as list
"""
mix_keys = list(mix_mm.keys())
df = pd.DataFrame(columns=["serotype", "mm"], dtype=object)
for hit in mix_keys:
pheno = list(get_pheno_list([hit], session))[0]
df... | 08cc6a8e9e1470a2643d9944effadba09680f28e | 3,599,806 |
def check_read(read):
"""
a callback function for pysam.count function, returns true if the read should be included in the count
:param read: the read to check
:return: True of False whether the read should be included in the count
"""
return read.is_proper_pair | 1bc80c9156bdeb0bc34b2724da8d0147a435b3dd | 3,599,807 |
def glVertex( *args ):
"""Choose glVertexX based on number of args"""
if len(args) == 1:
# v form...
args = args[0]
return glVertexDispatch[ len(args) ]( *args ) | b0e0e8a2c232fd36b77a8d5f21056009b353a2bc | 3,599,808 |
def _iter_child_nodes_in_order(node):
"""
Yield all direct child nodes of C{node}, that is, all fields that are nodes
and all items of fields that are lists of nodes.
C{_iter_child_nodes_in_order} yields nodes in the same order that they
appear in the source.
C{ast.iter_child_nodes} does the s... | 54ba42f5bae971572a343121d8b3bef5a480a2d6 | 3,599,809 |
def build_scheduler(optimizer, total_iters_each_epoch, total_epochs, last_epoch, optim_cfg):
"""
构建学习率调度器：三种方式adam_onecycle、LambdaLR、CosineWarmupLR
Args:
optimizer:优化器
total_iters_each_epoch：一个epoch的迭代次数:982
total_epoch:总共的epoch数:80
last_epoch:上一次的epoch_id
optim_cfg:优... | fd86986dec0585390585868ec5eb11970cee975a | 3,599,810 |
import re
def replace_src(html_body, base=''):
"""
替换图片文件链接（替换本地链接）
:param html_body:
:param base:
:return:
"""
rule = r'src="(.*?)"'
img_data_src_list = re.compile(rule, re.I).findall(html_body)
for img_src in img_data_src_list:
# 处理//,补充协议
if img_src.startswith('/... | 8e60ed496b25f713847fd3df5e7a3f0452bced19 | 3,599,811 |
def createAggregatedTestCase(doc, parent_node, testclass_name):
"""
Create a node which represents a single aggregated testcase.
Aggregated testcase sums the result of all test cases that
belong to the speified classname. If one of these test cases
fails, the aggregated test case's status is set to ... | a6cfaa405464a09e76d3e4840f99a3d5ff9a87b1 | 3,599,812 |
def process_in_parallel(process_count=5, tasks=[]):
"""
General-purpose function for programming
:param process_count: The number of processes used
for the given task
:return:
"""
outputs = mp.Queue()
def parallel_process_decorator(process_fn):
"""
:p... | 9b0b0c7c04232b15e6aa151fd0473f6f564b19f6 | 3,599,813 |
import ray
def _internal_kv_put(key, value, overwrite=False):
"""Globally associates a value with a given binary key.
This only has an effect if the key does not already have a value.
Returns:
already_exists (bool): whether the value already exists.
"""
worker = ray.worker.global_worker... | 11cf7586e1fc4f5956111f3391db64d987c83de5 | 3,599,814 |
import copy
def beautiful_nx(g):
"""A wrapper to draw graph nets beautifully.
Args:
g: a networkx graph object.
Source:
https://gist.github.com/jg-you/144a35013acba010054a2cc4a93b07c7.js
"""
pos = nx.layout.spectral_layout(g)
pos = nx.spring_layout(g, pos=pos, iterations=50... | 08997d759c786556dd90c6b2b72b8b51ddc8161f | 3,599,815 |
def next_generation(data, current, colors):
"""
Create the next generation from the previous one
Args:
data (np.array): the matrix representing the input
current (list): the current generation
Returns:
list: The generation of results with their respective quality and fea... | ca2fb70f56721993bea1785efabfa139726355d3 | 3,599,816 |
import urllib
import json
import requests
def lambda_handler(event, context):
"""
Google Chat Webhook にエラーイベント情報を送信する
Parameters
----------
event : json
トリガーイベント情報
context : json
実行環境情報
Returns
----------
response : json
POSTリクエスト実行結果
"""
try:
... | 21a5170c7b789b5f4c06f5b8ad5c346ad41345f0 | 3,599,817 |
def _datastore_lookup(keys, read_options, retries=None, timeout=None):
"""Issue a Lookup call to Datastore using gRPC.
Args:
keys (Iterable[entity_pb2.Key]): The entity keys to
look up.
read_options (Union[datastore_pb2.ReadOptions, NoneType]): Options for
the request.
... | 92e457366a7aeebdf26346383631efd8c68fd55c | 3,599,818 |
def expr_analysis(filename,filename2,altmerge_constituitive,exon_db,analyze_dabg):
"""import list of expression values for arrayids and calculates statistics"""
constitutive_keep={}; keep_probesets={}; keep_genes={}
global expression_status_db; global pvalue_status_db; global export_db
expression_statu... | 38ea159d3f96cf4114daec4072bf6281939c279d | 3,599,819 |
def _lcs_iter_simple_alt1(full_seq1, full_seq2, open_to_close, node_affinity, open_to_tok):
"""
Depth first stack trajectory
"""
all_decomp1 = generate_all_decompositions(full_seq1, open_to_close, open_to_tok)
all_decomp2 = generate_all_decompositions(full_seq2, open_to_close, open_to_tok)
args... | cffd68451c3878ec4a5a00001a108800c254f03a | 3,599,820 |
def saferep(x, n):
"""
Repeat `x` to array of length `n` if it's a literal, or check that `len(x) == n` if it's iterable.
"""
try:
if len(x) == 1:
raise TypeError
assert len(x) == n, f'`len({x})` != {n}'
return x
except TypeError:
return np.repeat(x, n) | cc4556147c002b98b7ab1a5edbb425e60cfdc4a5 | 3,599,821 |
def makeToUnicodeCMap(fontname, subset):
"""Creates a ToUnicode CMap for a given subset. See Adobe
_PDF_Reference (ISBN 0-201-75839-3) for more information."""
cmap = [
"/CIDInit /ProcSet findresource begin",
"12 dict begin",
"begincmap",
"/CIDSystemInfo",
"<< /Regis... | dbcb57eddcaa63373da63a90cd937f6d9e4cb835 | 3,599,822 |
import warnings
def distance_cn_correlation(sr_a: pd.Series, sr_b: pd.Series) -> float:
"""Metric that uses non-linear correlation distance to obtain a correlation coefficient for
categorical-numerical column pairs.
Args:
sr_a (pd.Series):
The categorical series to analyze, used for g... | b3f414e81b9f35e0f6d9de4a09387dd141e09ad4 | 3,599,823 |
def breadcrumb_bar(context):
"""
Breadcrumbs and language switcher displayed below proposition header
- creates alternate language links if SHOW_LANGUAGE_SWITCH is set
- takes "breadcrumbs" from the context
- takes "breadcrumbs_back" from the context to show a back link *instead* of breadcrumbs
... | 81b2f72bdab92a46803f6c8ebeca1303eb317fde | 3,599,824 |
import pandas
def ReadData():
"""Reads data about cannabis transactions.
http://zmjones.com/static/data/mj-clean.csv
returns: DataFrame
"""
transactions = pandas.read_csv('mj-clean.csv', parse_dates=[5])
return transactions | 2652635ae2ed765bc9465706866c017ea171383f | 3,599,826 |
def rsa_encrypt(key):
"""
加密
:return:
"""
public_key = RSA.import_key(open('pubkey.pem', 'r').read())
# data = data.encode()
cipher = PKCS1_OAEP.new(public_key)
key = cipher.encrypt(key)
print("加密后的key", key)
# print(binascii.b2a_hex(msg))
return key | 570342f41fec5428fa8b811d9240937ad760d5a4 | 3,599,827 |
def rsquared(evaluation,simulation):
"""
Coefficient of Determination
.. math::
r^2=(\\frac{\\sum ^n _{i=1}(e_i - \\bar{e})(s_i - \\bar{s})}{\\sqrt{\\sum ^n _{i=1}(e_i - \\bar{e})^2} \\sqrt{\\sum ^n _{i=1}(s_i - \\bar{s})^2}})^2
:evaluation: Observed data to compared with... | b72829ef2f333faf4f01ee0cdffeb237761f50b9 | 3,599,829 |
def decrypt(private_key, ciphertext):
"""Decrypt a message with a given private key.
Takes in a private_key generated by Crypto.PublicKey.RSA, which must be of
size exactly 4096
If the ciphertext is invalid, return None
"""
if len(ciphertext) < 512 + 16:
return None
msg_header = ciphertext[:512]
m... | 0414eff85830427752299723ce415d6459ddd9d9 | 3,599,830 |
def decimal_to_binary(num):
"""Exercise: 1.3.5.
The code given in the exercise is the logic
to print binary representation of the decimal number
"""
stack = Stack()
while num > 0:
stack.push(num % 2)
num = num // 2
binary = ""
while not stack.is_empty():
binary ... | 5a552968fe054560dc034169f3e069ea60821d43 | 3,599,831 |
def pack(data, nbit):
"""downgrade data from 8bits to nbits (per value)"""
data = data.flatten()
if 8 % nbit != 0:
raise ValueError("unpack: nbit must divide into 8")
if data.dtype not in (np.uint8, np.int8):
raise TypeError("unpack: dtype must be 8-bit")
outdata = np.zeros(data.size... | 800e111e68eb5c72f35effb32ae50ba6db2cc3e3 | 3,599,832 |
def level_dir(name, level):
"""The directory containing the results of one level of the search."""
return storage.join(experiment_dir(name), 'level%d' % level) | 19162a133b0f57dabb1786355cb9c2ca14cedc16 | 3,599,833 |
def create_dict(**kwargs):
"""Create a dict only with values that exists so we avoid send keys with
None values
"""
return {k: v for k, v in kwargs.items() if v} | 0abd94a4ec3a84685635affbe038d9b513287f6e | 3,599,834 |
def _read_from_socket(conn, length):
"""Read a chunk of data from a connection"""
chunks = []
remaining = length
while remaining > 0:
# Read a maximum of READ_MAX_CHUNK each iteration
chunk = remaining
if chunk > READ_MAX_CHUNK:
chunk = READ_MAX_CHUNK
# In Py... | 37324c4ec88bf88797936bf4f4cdd2d08af914cf | 3,599,835 |
def nb_distance_vec(indices, seqs_mat, seqs_L, nb_metric, *args):
"""Compute distances between pairs of sequences in seqs_mat specified by indices.
Note: numba raised errors when this function tried to use *args inside the prange
function. Without *args the prange function appears to fully parallelize the ... | 46fdfea41f7e18f464bdb6f85e10177b4e1a5dbc | 3,599,836 |
def hospitalized_case(I, AGE_DATA):
""" Calculated hospitalization cases"""
AGE_DATA['Snapshot_hospitalized'] = round(AGE_DATA['Proportion_DE_2020'] *
I *
AGE_DATA['Hospitalization Rate'])
no_h = AGE_DATA['Sna... | 9876bd1e6420b0e12db3ef4300d25fb84931b759 | 3,599,837 |
def aic(model, X_train, y_train):
"""
Compute the Akaike Information Criterion (AIC)
AIC's objective is to prevent model overfitting by adding a penalty
term which penalizes more complex models. Its formal definition is:
.. math::
-2ln(L) + 2k
where :math:`L` is the maximized value of... | 8f1789bca6ca8d48af5cb6d6760ce1ddefbbb59a | 3,599,838 |
def DeclareSort(name, ctx=None):
"""Create a new uninterpreted sort named `name`.
If `ctx=None`, then the new sort is declared in the global SMT context.
>>> A = DeclareSort('A')
>>> a = Const('a', A)
>>> b = Const('b', A)
>>> a.sort() == A
True
>>> b.sort() == A
True
>>> a == ... | e7ade3a622bfef04fd3453c6678d52c3b23801a4 | 3,599,839 |
import select
def get_key_events(
bio_events: bool = False,
stressors: bool = False,
detailed: bool = False,
species: int = None,
verbose: bool = False,
) -> pd.DataFrame:
"""Get table of key events.
Parameters
----------
bio_events : bool
If True, produces a detailed Data... | 1434476c020182743ef4620fa0a7a64c4d8e152f | 3,599,840 |
def RegionateFITS(fitsFile,minLodPixels,maxPer,rootKml,outputDir,surveyName,
iconURL,orderbyField='',hdu=1,maxLodPixels=-1,outputUrl=''):
"""
Regionate a FITS file into kml
"""
if not os.access(outputDir, os.W_OK):
if verbose:
print '%s: must exist and must be writeable' % outputDir... | 27a54ffe138e27e864a6f7f703ea525263f59998 | 3,599,841 |
def raster(event_times_list):
"""
event_times_list : iterable
a list of event time iterables
color : string
color of vlines
Returns
-------
ax : an axis containing the raster plot
"""
color='k'
ax = plt.gca()
for ith, trial in enumerate(event_times_list):
plt... | 1c4dd8a21c60227297c0827095d0629911969fe3 | 3,599,843 |
def segmented_intersections(lines):
"""Finds the intersections between groups of lines."""
intersections = []
for i, group in enumerate(lines[:-1]):
for next_group in lines[i+1:]:
for line1 in group:
for line2 in next_group:
intersections.append(inter... | 677014c1f1ee99e6100f6b91d63018afac11cd6e | 3,599,844 |
def index(request):
"""
handle top level pages.
"""
page_name = request.path[1:][:-1]
view_objects = {}
if page_name != "home" and not challenge_mgr.is_page_unlock(request.user, page_name):
return HttpResponseForbidden('<h1>Permission denied</h1>')
# get the view_objects
is_pa... | ac1ef9b1e36a6fe0759780de38aa238bbe154f82 | 3,599,845 |
def pie_chart(df, col, colors=None, title=None):
"""Create Pie Chart"""
df_p = pd.DataFrame(df.groupby(col)[col].agg("count") / len(df))
if title == None:
title = col
fig = go.Figure()
fig.add_trace(go.Pie(labels=df_p.index, values=df_p.iloc[:,0]))
if colors == None:
fig.update_t... | ab168ce3e691eb3d7ffb12ee204c04e6d0a55cc5 | 3,599,846 |
def remove_deulicated_resource(resource_list):
"""
移除所有具有重复 url 的资源，并返回移除重复项之后的资源列表
"""
url_added = set()
unduplicated_resources = []
for resource in resource_list:
if resource[KEY_URL] not in url_added:
url_added.add(resource[KEY_URL])
unduplicated_resources.appe... | 9b8f9960f7c030898a3633d9bc3f0576dbf07957 | 3,599,847 |
def Lagrangian(frame, *body):
"""Lagrangian of a multibody system.
This function returns the Lagrangian of a system of Particle's and/or
RigidBody's. The Lagrangian of such a system is equal to the difference
between the kinetic energies and potential energies of its constituents. If
T and V are th... | 836fe525896e44c420f4864084f1fb2d3cdaa84b | 3,599,848 |
import unicodedata
def unicode_to_ascii(s):
"""Convert unicode to ASCII."""
return ''.join(
c for c in unicodedata.normalize('NFD', s)
if unicodedata.category(c) != 'Mn'
) | eb53883802155bfa237d7aa85b025c1205decd71 | 3,599,849 |
def set_kernel(k, normalizer=no_norm):
"""
Decorator that makes a normalized
set kernel out of a standard kernel k
"""
def K(X, Y):
if type(X) == list:
def norm(x): return normalizer(x, k)
x_norm = matrix([elem for elem in map(norm, X)])
if id(X) == id(Y)... | 5745803f0e96ccda8316a3c0bba7d0778f8e6964 | 3,599,850 |
def w3():
"""Provide a Web3 client to interact with a local chain."""
client = Web3(HTTPProvider('http://localhost:8545'))
client.eth.defaultAccount = client.eth.accounts[0]
return client | 9842a2250524fbebbcad4237d83ecf6352208a89 | 3,599,851 |
def run_async(*args) -> Popen:
"""https://stackoverflow.com/questions/16071866/non-blocking-subprocess-call
p = run_async("command")
while p.poll() is None:
...
p.stdout
p.stderr
"""
command = ' '.join(args)
return Popen(command, shell=True, stdout=PIPE) | e2ff67b0d4b0ab63740fb5bacf8210ca25e7b101 | 3,599,853 |
def get_ospf_process_id_and_area(
device, vrf="default", interface=None, address_family="ipv4"
):
""" Get ospf process id and area
Args:
device ('obj'): device to run on
vrf ('str'): vrf to search under
interface ('str') interface to serach under
address_... | 01926c47e70536a88ce5351e9e1dcb677bb0192c | 3,599,854 |
def GetInternalIPAddress(instance_resource):
"""Returns the internal IP address of the instance.
Args:
instance_resource: An instance resource object.
Raises:
ToolException: If instance has no network interfaces.
Returns:
A string IP address.
"""
return GetInternalInterface(instance_resource)... | 94c2b2bdf45c4acf207c2e29025c2f4a9ce91515 | 3,599,855 |
def load_and_numberize_data(path="../data/", nb_words=None, maxlen=None, seed=113, start_char=1, oov_char=2, index_from=3, init_type="random", embfile=None, dev_train_merge=0, map_labels_to_five_class=0):
""" numberize the train, dev and test files """
# read the vocab from the entire corpus (train + test + d... | 42779e14c824d96664ab4388f5b56131acab7103 | 3,599,856 |
def enable_cdc(client):
"""Utility method to enable Change Data Capture for Contact change events in an org.
Args:
client (:py:class:`simple_salesforce.Salesforce`): Salesforce client
Returns:
(:obj:`str`) Event channel Id
"""
payload = {
"FullName": "ChangeEvents_ContactCh... | 2c7bc57f33e83029caea542db9daeaa81f6661cc | 3,599,857 |
from typing import OrderedDict
def minimal_project_conf_path(tmpdir):
""" Write minimal sample annotations and project configuration. """
anns_file = tmpdir.join(ANNOTATIONS_FILENAME).strpath
df = pd.DataFrame(OrderedDict([
(SAMPLE_NAME_COLNAME, SAMPLE_NAMES), ("data", DATA_VALUES)]))
with ope... | a2d0c5c17b1afb0187811b3cd1bf7aa7c5eb1791 | 3,599,858 |
def delete_album(request, album_id):
""" Delete an album from the store """
if not request.user.is_superuser:
messages.error(request, 'Sorry, only store owners can do that.')
return redirect(reverse('home'))
album = get_object_or_404(Album, pk=album_id)
album.delete()
messages.succe... | 0bbc5e0c519c327c586ab094ffd8221ba5860ed5 | 3,599,859 |
import math
def model_SouthKorea():
"""
This is a model for South Korea.
Due to how much testing they do, it is probably more accurate
to try match observations to E instead of I.
"""
m = 4 # The parameter within the distribution of E
n = 7 # The parameter within the distribution of I
... | fda57f911c436800a6e419d6508bc76823e2de20 | 3,599,860 |
def _bytes_feature(value):
"""Returns a bytes_list from a string / bytes."""
if isinstance(value, type(tf.constant(0))): # if value ist tensor
value = value.numpy() # get value of tensor
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value])) | 1f805b217ee212411da474010043ce881fb75510 | 3,599,861 |
def http_destination_exists(site, path):
"""
"""
conn = httplib.HTTPConnection(site)
conn.request('HEAD', path)
response = conn.getresponse()
conn.close()
return response.status == 200 | a259891360588e6929c8a71a34d6dc7717fe573c | 3,599,862 |
def mobile_start():
"""Mobile start page"""
listings = Listing.query.order_by(Listing.created.desc())
listings = filter_rejected(listings)
listing = listings.order_by(UserListingInfo.score.desc()).first()
return redirect(url_for("mobile", identifier=listing.id)) | 17e368f6cf3baacd9cdfd00d70d46ae30dce414e | 3,599,863 |
def crc_update(crc, a):
""" For a character calculate crc """
crc ^= ord(a)
for i in range(8):
if crc & 1:
crc = (crc >> 1) ^ 0xA001
else:
crc = crc >> 1
return crc | b3cdf352aaa282c54c0c5f82401b52f5d95dc327 | 3,599,864 |
def extract_first_appearance(string, type_, last_possible):
"""Extract the first appearance of the character in manga or anime
Note: the complete list of manga_chapters and anime_episodes seems
incorrect on Hokuto Renkitōza.
Parameters
----------
string : str
entire appearances string ... | baee950b7f3f0cbba2f3dee2e136f7d63b737489 | 3,599,865 |
def sitemap_read() -> list:
"""Load page information from sitemap file.
Returns:
A list of modules to include in site
"""
try:
with SITEMAP.open() as fp:
sitemap = [line.strip() for line in fp if not line.startswith("#")]
except FileNotFoundError:
sitemap = []
... | 2fcc227f4382e488e1efbb86b1abe3062ded4b15 | 3,599,866 |
def get(key: str, dic, default=None):
"""Gets key even from not a dictionary."""
try:
return dict(dic).get(key, default)
except TypeError:
return default | 5302868de0b6b4a94bded35654d6a9ad215d867e | 3,599,869 |
def build_hourglass_mask_branch(rois, feature_maps, use_p2, image_meta, mask_channel, double,
pool_size, num_keypoint, train_bn=True, name=''):
"""
直接上来就降采样，所以之前要先卷积两次输出也是同样，输出之后还是要卷积融合一下特征。
:param layer: 降采样的次数，直接决定了fm大小和感受野
:param numOut: channel
:return: 输出当前的fm和之前... | 59206fc62ec2ff17161351edbd3e580af3309556 | 3,599,870 |
def href(obj):
"""Lets the URL to an object be constructed with {{ obj|link }}.
This encapsulates our URL-building logic in one single place, in
contrast to the usual Django practice of littering every template
with {% url %} calls that have to all be hand-edited in the future
when a view name chan... | 90b2d2ee2c27e3359218d4899e2a15e816970dd0 | 3,599,872 |
def get_environment_var(varstr):
"""Given a string, first determine if it looks like a reference
to a single environment variable, like "$FOO" or "${FOO}".
If so, return that variable with no decorations ("FOO").
If not, return None."""
mo=_get_env_var.match(to_String(varstr))
if mo:
var... | 1b4e5fc91ac0eda4a7a3657a46e669326a9dda53 | 3,599,874 |
import yaml
def load_config_from_yaml(filename='fsm.yaml'):
"""
Returns the current fsm configuration dictionary, loaded from file.
:return: a dict.
"""
yaml_file = open(filename, 'r')
yaml_dict = yaml.safe_load(yaml_file.read())
return yaml_dict | e1ff03a8fcc2a77288d8971cd76fd17e7a30f65a | 3,599,876 |
import torch
def atanh(x, eps=1e-2):
"""
The inverse hyperbolic tangent function, missing in pytorch.
:param x: a tensor or a Variable
:param eps: used to enhance numeric stability
:return: :math:`\\tanh^{-1}{x}`, of the same type as ``x``
"""
x = x * (1 - eps)
return 0.5 * torch.log(... | 27b0e8de0eeceb44d739f686ca22d616bc8f75de | 3,599,878 |
def correct_peaks(
sig, peak_inds, search_radius, smooth_window_size, peak_dir="compare"
):
"""
Adjust a set of detected peaks to coincide with local signal maxima.
Parameters
----------
sig : ndarray
The 1d signal array.
peak_inds : np array
Array of the original peak indice... | 08f24c806f2ea64a044968196bd8fb0b1833ed0f | 3,599,879 |
import itertools
def lower_star_for_image(img_array):
"""
Compute the lower star weighted simplicial complex from a 2d grid/image.
Parameters
----------
img_array, a `numpy.ndarray` of dimension 2.
Returns
-------
`homology.SimplicialComplex`
Examples
--------
>>> A = n... | b0d4e6bdad90c15d0e33e0edff61ca83d4015f2c | 3,599,881 |
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