content stringlengths 35 762k | sha1 stringlengths 40 40 | id int64 0 3.66M |
|---|---|---|
from typing import Dict
def dataset_is_open_data(dataset: Dict) -> bool:
"""Check if dataset is tagged as open data."""
is_open_data = dataset.get("isOpenData")
if is_open_data:
return is_open_data["value"] == "true"
return False | fc1591d4a045ba904658bb93577a364145492465 | 3,659,600 |
def _remove_suffix_apple(path):
"""
Strip off .so or .dylib.
>>> _remove_suffix_apple("libpython.so")
'libpython'
>>> _remove_suffix_apple("libpython.dylib")
'libpython'
>>> _remove_suffix_apple("libpython3.7")
'libpython3.7'
"""
if path.endswith(".dylib"):
return path[:... | c5526b0f3420625c2efeba225187f72c7a51fb4b | 3,659,601 |
def sparsenet201(**kwargs):
"""
SparseNet-201 model from 'Sparsely Aggregated Convolutional Networks,' https://arxiv.org/abs/1801.05895.
Parameters:
----------
pretrained : bool, default False
Whether to load the pretrained weights for model.
root : str, default '~/.torch/models'
... | 83de415e043876ae90dd3f79c3ca26dd82d8c5df | 3,659,602 |
def alt_text_to_curly_bracket(text):
"""
Converts the text that appears in the alt attribute of image tags from gatherer
to a curly-bracket mana notation.
ex: 'Green'->{G}, 'Blue or Red'->{U/R}
'Variable Colorless' -> {XC}
'Colorless' -> {C}
'N colorless' -> {N}, where N is some ... | c604b236a8d0baeff244e0e246176a406674c9e2 | 3,659,603 |
def massage_primary(repo_primary, src_cache, cdt):
"""
Massages the result of dictify() into a less cumbersome form.
In particular:
1. There are many lists that can only be of length one that
don't need to be lists at all.
2. The '_text' entries need to go away.
3. The real information st... | fd57ff925b46eb5adddee2c180fbc01b3c60ec7c | 3,659,604 |
def ansi_color_name_to_escape_code(name, style="default", cmap=None):
"""Converts a color name to the inner part of an ANSI escape code"""
cmap = _ensure_color_map(style=style, cmap=cmap)
if name in cmap:
return cmap[name]
m = RE_XONSH_COLOR.match(name)
if m is None:
raise ValueError... | 70b8fe19fc34d14c678c9e54890a4da7e0e37c24 | 3,659,605 |
import shlex
import getopt
from datetime import datetime
def twitter(bot, message):
"""#twitter [-p 天数]
-p : 几天以前
"""
try:
cmd, *args = shlex.split(message.text)
except ValueError:
return False
if not cmd[0] in config['trigger']:
return False
if not cmd[1:] == 'tw... | ba02cebb5a680f26f2eb17c32b62ead9ac3995a3 | 3,659,606 |
from typing import List
import os
def checkdir(*args: List[str]) -> bool:
"""
Guard for checking directories
Returns:
bool -- True if all arguments directories
"""
for a in args:
if a and not os.path.isdir(a):
return False
if a and a[0] != '/':
retu... | f1fc1c99e9bb6d4fd12129f1287923fc2f3325eb | 3,659,607 |
import logging
def get_zones(request):
"""Returns preprocessed thermal data for a given request or None."""
logging.info("received zone request:", request.building)
zones, err = _get_zones(request.building)
if err is not None:
return None, err
grpc_zones = []
for zones in zones:
... | b04dca4da5b68faea64744c9c7093a977eb120c1 | 3,659,608 |
def proper_classification(sp):
"""
Uses splat.classifyByStandard to classify spectra using spex standards
"""
#sp.slitpixelwidth=1
#sp.slitwidth=1
#sp.toInstrument('WFC3-G141')
wsp= wisps.Spectrum(wave=sp.wave.value,
flux=sp.flux.value,
... | 31529d96fbc4fec69a5996fb33829be4caf51529 | 3,659,609 |
from typing import Tuple
import torch
def sum_last_4_layers(sequence_outputs: Tuple[torch.Tensor]) -> torch.Tensor:
"""Sums the last 4 hidden representations of a sequence output of BERT.
Args:
-----
sequence_output: Tuple of tensors of shape (batch, seq_length, hidden_size).
For BERT base, th... | 14bba441a116712d1431b1ee6dda33dc5ec4142c | 3,659,610 |
def TotalCust():
"""(read-only) Total Number of customers served from this line section."""
return lib.Lines_Get_TotalCust() | 58984b853cdd9587c7db5ff6c30b7af20a64985a | 3,659,611 |
import re
def extra_normalize(text_orig: str):
"""
This function allows a simple normalization to the original text to make
possible the aligning process.
The replacement_patterns were obtained during experimentation with real text
it is possible to add more or to get some errors without new rule... | d06ee939c8035cd7b83ed7f1577b383bfcaf203d | 3,659,612 |
def list2str(lst: list) -> str:
"""
将 list 内的元素转化为字符串，使得打印时能够按行输出并在前面加上序号(从1开始)
e.g.
In:
lst = [a,b,c]
str = list2str(lst)
print(str)
Out:
1. a
2. b
3. c
"""
i = 1
res_list = []
for x in lst:
res_list.append(str(i)+'. '+str(x))
i += 1
res... | 3da11748d650e234c082255b8d7dff5e56e65732 | 3,659,613 |
def _prompt_save(): # pragma: no cover
"""Show a prompt asking the user whether he wants to save or not.
Output is 'save', 'cancel', or 'close'
"""
b = prompt(
"Do you want to save your changes before quitting?",
buttons=['save', 'cancel', 'close'], title='Save')
return show_box(b... | 859cbbe94ef35bf434b1c4f6cac9ec61a6311fb8 | 3,659,614 |
def plot_dataset_samples_1d(
dataset,
n_samples=10,
title="Dataset",
figsize=DFLT_FIGSIZE,
ax=None,
plot_config_kwargs={},
seed=123,
):
"""Plot `n_samples` samples of the a datset."""
np.random.seed(seed)
with plot_config(plot_config_kwargs):
if ax is None:
f... | 41b34e276a0236d46e13d7b0f24797e739384661 | 3,659,615 |
def list_versions(namespace, name, provider):
"""List version for mnodule.
Args:
namespace (str): namespace for the version
name (str): Name of the module
provider (str): Provider for the module
Returns:
response: JSON formatted respnse
"""
try:
return make_... | dca0c24f391cce69a10fe7e61165647c9ce1cf66 | 3,659,616 |
import requests
def script_cbor(self, script_hash: str, **kwargs):
"""
CBOR representation of a plutus script
https://docs.blockfrost.io/#tag/Cardano-Scripts/paths/~1scripts~1{script_hash}~1cbor/get
:param script_hash: Hash of the script.
:type script_hash: str
:param return_type: Optional. ... | fdb71d1e95d67da4a18552f4e42a28e27c7ab95a | 3,659,617 |
def ithOfNPointsOnCircleY(i,n,r):
"""
return x coordinate of ith value of n points on circle of radius r
points are numbered from 0 through n-1, spread counterclockwise around circle
point 0 is at angle 0, as of on a unit circle, i.e. at point (0,r)
"""
# Hints: similar to ithOfNPointsOnCircle... | d4e697145423146b085f8423315c795745498afd | 3,659,618 |
def get_tags(ec2id, ec2type, region):
"""
get tags
return tags (json)
"""
mytags = []
ec2 = connect('ec2', region)
if ec2type == 'volume':
response = ec2.describe_volumes(VolumeIds=[ec2id])
if 'Tags' in response['Volumes'][0]:
mytags = response['Volumes'][0]['Tags... | c150d83b6563f79140febb65a4ea7e50bc733286 | 3,659,619 |
def parse(data, raw=False, quiet=False):
"""
Main text parsing function
Parameters:
data: (string) text data to parse
raw: (boolean) unprocessed output if True
quiet: (boolean) suppress warning messages if True
Returns:
Dictionary. Raw or process... | dd7da8a23a0691dc2df75391c77fa1448362330a | 3,659,620 |
import os
def download_pretrained_model(model: str, target_path: str = None) -> str:
"""Downloads pretrained model to given target path,
if target path is None, it will use model cache path.
If model already exists in the given target path than it will do notting.
Args:
model (str): pretraine... | b9fcbec011136929e8240944f5f8c595f941d29e | 3,659,621 |
def callNasaApi(date='empty'):
"""calls NASA APIS
Args:
date (str, optional): date for nasa APOD API. Defaults to 'empty'.
Returns:
Dict: custom API response
"""
print('calling nasa APOD API...')
url = nasaInfo['nasa_apod_api_uri']
if date != 'empty':
params = getA... | 5eaa7fe9434c608df47828c8ce19d4e5e5cfe799 | 3,659,622 |
def train_reduced_model(x_values: np.ndarray, y_values: np.ndarray, n_components: int,
seed: int, max_iter: int = 10000) -> sklearn.base.BaseEstimator:
"""
Train a reduced-quality model by putting a Gaussian random projection in
front of the multinomial logistic regression stage of t... | ab2871875c751b5d7abb56991a55607e79c17e6e | 3,659,623 |
def pv(array):
"""Return the PV value of the valid elements of an array.
Parameters
----------
array : `numpy.ndarray`
array of values
Returns
-------
`float`
PV of the array
"""
non_nan = np.isfinite(array)
return array[non_nan].max() - array[non_nan].min() | 987ae80fa68cd1dee3e179975b283bb7f48dd2aa | 3,659,624 |
def format_bad_frames(bad_frames):
"""Create an array of bad frame indices from string loaded from yml file."""
if bad_frames == "":
bads = []
else:
try:
bads = [x.split("-") for x in bad_frames.split(",")]
bads = [[int(x) for x in y] for y in bads]
bads ... | 433bcba8cc8bf7985a8103d595759d04099dce6a | 3,659,625 |
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