content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def close_files(toor):
"""
Close Dataframes that are checked in main window.
"""
global answer, footer, ents2, li, thread_busy
if not thread_busy:
close_var = messagebox.askyesno("File_Pal_1.2", "Do you want to close checked files?")
if close_var:
for file in answ... | 70,000 |
def test_interaction_edges_error():
"""
Make sure an error is raised when someone
tries to set node attributes in edges.
"""
lines = """
[ moleculetype ]
GLY 1
[ atoms ]
1 P4 1 ALA BB 1
2 P3 1 ALA SC1 2
3 P2 1 ALA SC2 3
4 P2 1 ALA SC3 3
[ edges ]
BB SC1
SC1 {"... | 70,001 |
def get_builder(regulation, version, inline_applier, p_applier, s_applier):
""" Returns an HTML builder with the appliers, and the regulation tree. """
builder = HTMLBuilder(inline_applier, p_applier, s_applier)
builder.tree = get_regulation(regulation, version)
return builder | 70,002 |
async def test_tree_metadata():
"""Test fixture for use in testing parameter tree metadata."""
test_tree_metadata = await AsyncParameterTreeMetadataTestFixture()
yield test_tree_metadata | 70,003 |
def get_fine_tune_model(symbol, arg_params, num_classes, layer_name, dtype='float32'):
"""
symbol: the pre-trained network symbol
arg_params: the argument parameters of the pre-trained model
num_classes: the number of classes for the fine-tune datasets
layer_name: the layer name before the last full... | 70,004 |
async def async_setup(hass, config):
"""Load the scripts from the configuration."""
hass.data[DOMAIN] = component = EntityComponent(_LOGGER, DOMAIN, hass)
await _async_process_config(hass, config, component)
async def reload_service(service):
"""Call a service to reload scripts."""
con... | 70,005 |
def aes_decrypt(key, iv, content):
"""
AES解密
key,iv使用同一个
模式cbc
去填充pkcs7
:param key:
:param content:
:return:
"""
cipher = AES.new(key, AES.MODE_CBC, iv)
# base64解码
encrypt_bytes = base64.b64decode(content)
# 解密
decrypt_bytes = cipher.decrypt(encrypt_bytes)
# ... | 70,006 |
def Visualize_EMD(test_img,train_imgs,EMD_scores,SP_flow, folder,test_label,img_name,
num_class=4,arrow_width_scale=2,per_arrows=0.10,title=None,class_names=None,
lab=False,sp_overlay=True,train_imgs_names=None, cmap='binary',
stacked=False, max_feat=None,min_feat=... | 70,007 |
def get_comments(code, sleep=1):
"""获取股票code的雪球评论
:param str code: 股票代码，如 `600122`
:param float sleep: 睡眠时间， 默认值为 1
:return:
"""
headers = get_header()
sess = requests.Session()
# 访问首页，获取cookies
sess.get(XUEQIU_HOME, headers=headers, timeout=10)
# 获取首页评论
symbol = make_symb... | 70,008 |
def test_add_deserializer() -> None:
"""Test registration of a custom deserializer."""
with testConfig() as config:
request = DummyRequest()
config.include("pyramid_openapi3")
config.pyramid_openapi3_add_deserializer("deserializer", lambda x: x)
deserializer = request.registry... | 70,009 |
def workflow_format() -> Tuple[IWorkflowConverter, List[str]]:
"""Plugin Hook for ``workflow export`` call.
Can be used to export renku workflows in different formats.
:returns: A tuple of the plugin itself and the output formats it supports.
NOTE: a plugin can support multiple formats.
... | 70,010 |
def has_same_base_dtype(df_1, df_2, columns=None):
"""Check if specified columns have the same base dtypes across both DataFrames.
Args:
df_1 (pd.DataFrame): first DataFrame.
df_2 (pd.DataFrame): second DataFrame.
columns (list(str)): columns to check, None checks all columns.
Retu... | 70,011 |
def upsample(zs, labels, sampling_kwargs, priors, hps):
"""Upsample given already generated upper-level codes"""
sample_levels = list(range(len(priors) - 1))
zs = _sample(zs, labels, sampling_kwargs, priors, sample_levels, hps)
return zs | 70,012 |
def k_12():
"""Define the k12 component of permeability tensor."""
return np.zeros((1, 1)) | 70,013 |
def tpath(request):
"""
Fixture that takes the value of the special test-specific folder for test
run data and plots. Usually the <folder of the test>/tresults/test_name/
"""
tpath_root, tpath_local = utilities.tpath_root_make(request)
os.makedirs(tpath_root, exist_ok=True)
os.utime(tpath_r... | 70,014 |
def test_init_and_Popen(args: list, kwargs: dict, expected_result: Any):
"""Test SubprocessCommand with Popen"""
cmd = SubprocessCommand(*args, **kwargs)
assert cmd == expected_result
cmd_proc = cmd.Popen()
cmd_proc.communicate()
assert cmd_proc.returncode == 0
proc = subprocess.Popen(*arg... | 70,015 |
def test_run_no_timeout() -> None:
"""Timeout produces timeoutexpired."""
expected = (0, "success", "", "")
assert run("sleep 2", timeout=3) == expected | 70,016 |
def historical_limit():
"""max days"""
return 90 | 70,017 |
def get_dataloader(url_list, model_name=cfg.model_name, batch_size=cfg.batch_size, num_workers=cfg.num_workers):
"""Create and return an instance of dataloader
Args:
url_list (list): List of http(s) or S3 urls to fetch images from.
model_name (str, optional): Model name, used for corresponding ... | 70,018 |
def coxeter_matrix(t):
"""
This was deprecated in :trac:`17798` for :class:`CartanMatrix`.
EXAMPLES::
sage: coxeter_matrix(['A', 4])
doctest:...: DeprecationWarning: coxeter_matrix() is deprecated. Use CoxeterMatrix() instead
See http://trac.sagemath.org/17798 for details.
... | 70,019 |
def HaveGoodGUI():
"""Returns true if we currently have a good gui available.
"""
return "pywin.framework.startup" in sys.modules | 70,020 |
def run_ralston(system, slope_func, **options):
"""Computes a numerical solution to a differential equation.
`system` must contain `init` with initial conditions,
and `t_end` with the end time.
`system` may contain `t_0` to override the default, 0
It can contain any other parameters required by... | 70,021 |
def __output_block_mtx(block_cell, nblock, ncell, block_ad_file, block_dp_file, _gzip = 0):
"""
@abstract Output block-cell AD & DP matrices to mtx file
@param block_cell A dict of {reg_idx:{cell_idx:{ad:ad_depth, dp:dp_depth}, }} pairs [dict]
@param nblock Number of total blocks [i... | 70,022 |
def prep_im_for_blob(im, pixel_means, target_size, max_size):
"""Mean subtract and scale an image for use in a blob."""
im = im.astype(np.float32, copy=False)
im -= pixel_means
im_shape = im.shape
#-------------------------------------------------------------
interp_mode = cv2.INTER_LINEAR
... | 70,023 |
def solve(capacities: List, waters: List) -> int:
"""Solve the question 1. See this module docstring.
Parameters
----------
capacities : List
the capacities of tankers.
waters : List
the amount of water in tankers.
Returns
-------
int
the minimum number of tanke... | 70,024 |
def restore_container(container_name, bookmark_name):
"""
Restores a container to a given JS bookmark
container_name: Name of the container to restore
bookmark_name: Name of the bookmark
"""
bookmark_params = JSTimelinePointBookmarkInput()
bookmark_params.bookmark = get_obj_reference(dx_se... | 70,025 |
def main():
""" main entry point for module execution
"""
argument_spec = dict(
http=dict(aliases=['enable_http'], default=True, type='bool', setter='set_http'),
http_port=dict(default=80, type='int', setter='set_http'),
https=dict(aliases=['enable_https'], default=False, type='boo... | 70,026 |
def _generate_data():
"""Generate data examples."""
# pylint: disable=protected-access
labels = tfds.features.ClassLabel(names=gtzan._CLASS_LABELS).names # pytype: disable=module-attr
# pylint: enable=protected-access
wav_file = fake_data_utils.get_random_wav_c1(duration=30, sample=22050)
# .wav file has n... | 70,027 |
def load_torchvision_data(dataname, valid_size=0.1, splits=None, shuffle=True,
stratified=False, random_seed=None, batch_size = 64,
resize=None, to3channels=False,
maxsize = None, maxsize_test=None, num_workers = 0, transform=None,
data=Non... | 70,028 |
def class_names_from_csv(class_map_csv_text):
"""Returns list of class names corresponding to score vector."""
class_names = []
with tf.io.gfile.GFile(class_map_csv_text) as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
class_names.append(row['display_name'])
return class_names | 70,029 |
def np_col_vec (init_list):
"""Generates a Numpy-compatible column vector."""
return np_row_vec (init_list).T | 70,030 |
def _gcd(a, b):
"""
Return greatest common divisor using Euclid's Algorithm.
"""
if a == 0: return b
if b == 0: return a
while b:
a, b = b, a % b
return abs(a) | 70,031 |
def index(request):
"""renders listing main page"""
listings = Listing.objects.all().order_by(
'-list_date').filter(is_published=True)
paginator = Paginator(listings, 3)
page_number = request.GET.get('page')
paged_listing = paginator.get_page(page_number)
context = {
"listings... | 70,032 |
def do_not_have_mysql():
"""Checks if mysql exists on this platform"""
for path in os.environ["PATH"].split(os.pathsep):
if os.path.exists(os.path.join(path, 'msql')):
return True
return False | 70,033 |
async def call_async(call_id, func, *args, **kwargs):
"""
Spawns task in thread pool and reports the result (async)
Args:
call_id: custom identifier used by callback to report the result
"""
if debug:
logger.debug(
f'calling task {call_id}: {func}\nargs: {args}\nkwargs: ... | 70,034 |
def dashStreamsReady(manifest_path):
"""Wait for DASH streams to be ready.
Return True if the DASH manifest exists and each Representation has at least
one segment in it.
"""
# Check to see if the DASH manifest exists yet.
if not os.path.exists(manifest_path):
return False
# Waiting until every Rep... | 70,035 |
def test_process_all_cloud(all_cloud_cube):
"""Test the process function with multi realization input cube that has
all cloud occupying the field."""
expected_data = np.zeros(all_cloud_cube[0][0].shape)
result = PLUGIN.process(all_cloud_cube)
np.testing.assert_almost_equal(result.data, expected... | 70,036 |
def test_1(rq, isse_path, **kwargs):
"""Function: test_1
Description: Test: Process message for restart of service.
Arguments:
(input) rq -> RabbitMQ Publisher instance
(input) isse_path -> Directory path to the ISSE Guard directory.
"""
print(" Test: Process message for... | 70,037 |
def has_func(obj, fun):
"""check if a class has specified function: https://stackoverflow.com/a/5268474
Args:
obj: the class to check
fun: specified function to check
Returns:
A bool to indicate if obj has funtion "fun"
"""
check_fun = getattr(obj, fun, None)
return call... | 70,038 |
def _make_interp_probe_count_for_dataset_standard_fn(probe_counts,
cover_extension_scale=1.0/10):
"""Generate and return a function that interpolates probe count for a dataset.
This operates only on the mismatches and cover_extension parameters.
Args:
probe_counts: dict giving number of pr... | 70,039 |
def GenerateSimplePrediction(results, years):
"""Generates a simple prediction.
results: results object
years: sequence of times (in years) to make predictions for
returns: sequence of predicted values
"""
n = len(years)
inter = np.ones(n)
d = dict(Intercept=inter, years=years, years2=... | 70,040 |
def write_file_on_mismatched_content(desired_content, target, write):
"""
Write the contents to a new target.
The copy is atomic, ensuring that the target file never exists with
partial contents. The code avoids writing the file if the contents
do not need to be updated. The return value is a boo... | 70,041 |
def detr_load():
"""
Loads the detr model using resnet50
Returns: the detr model pretrained on COCO dataset
"""
model = torch.hub.load('facebookresearch/detr', 'detr_resnet50', pretrained=True)
model.eval()
return model | 70,042 |
def is_string(s):
"""判断是否是字符串
"""
return isinstance(s, basestring) | 70,043 |
def _initialize_logging_file_config(config):
"""
Initialize logging using logging's "Configuration file format".
(ref.: https://docs.python.org/3/howto/logging.html#configuring-logging)
"""
base_config = _find_logging_config(config)
logging.config.fileConfig(
base_config.get("logging-fil... | 70,044 |
def download_chunks_to(names, chunks, folder: Path, progress_bar=True):
"""
Downloads all data segments specified in the 'chunks' list.
Concurrent chunks are downloaded in parallel on multiple
threads, starting at the first N chunks. This allows video
playback before the whole strea... | 70,045 |
def tff_cc_library_with_tf_runtime_deps(name, tf_deps = [], **kwargs):
"""A version of `cc_library` that links against TF statically or dynamically.
Note that targets of this type will not work with pybind, due to conflicting
symbols.
Args:
name: A unique name for this target.
tf_deps: Lis... | 70,046 |
def check_if_consistent(dfs, cast_info):
"""
checks name and types of columns of each dataframes in 'dfs',
returns False, in case any one of them if found to be inconsistent,
otherwise returns True.
"""
index_names = np.asarray([df.index.name if df.has_index() \
else No... | 70,047 |
def _collapse_complexes(data):
"""Given a list or other iterable that's a series of (real, imaginary)
pairs, returns a list of complex numbers. For instance, given this list --
[a, b, c, d, e, f]
this function returns --
[complex(a, b), complex(c, d), complex(e, f)]
The returned list is a... | 70,048 |
def find_lottery_winner(root: SumTree, lottery_number: float) -> int:
"""
Find lottery winner index
:param root: the root node of the sum tree
:param lottery_number: float number in range of 0 to 1
:return: winner wallet index
"""
search_number = lottery_number * root.sum
winner = root.... | 70,049 |
def calc_one_dissimilarity_cv(dataset, descriptor, i_des, j_des,
method='euclidean',
noise=None, weighting='number',
prior_lambda=1, prior_weight=0.1,
cv_descriptor=None, enforce_same=False):
"""
... | 70,050 |
def plot_horn(obs_svals, perm_samples, sval_cutoff):
"""
Visualization for Horn's Parallel Analysis.
Histogram of null distribution.
"""
plt.hist(perm_samples, color='black')
for sval in obs_svals:
if sval > sval_cutoff:
ls = '-'
# alpha = 0.5
lw = 2
... | 70,051 |
def get_cron_time_samples(start,stop,samples):
"""Get a comma-separated samples as a
string for cron jobs.
Keyword arguments:
start -- start integer to sample
stop -- stop integer to sample
samples -- number of samples
Returns:
string -- comma-separated list of samples
from the s... | 70,052 |
def round_up_to_odd(f):
"""round float to the nearest odd integer"""
return np.asarray(np.round((f - 1) / 2) * 2 + 1, dtype=np.int64) | 70,053 |
def backend_filter(cls):
"""
Verify that the type proper subclass of BackendModule.
:type cls: type
:rtype: bool
:param cls: A class object
:return: True if match, else false
"""
return issubclass(cls, BackendModule) and cls != BackendModule | 70,054 |
def group_force_by_parameter_id(
handler_force: openmm.Force,
parameters: List[SMIRNOFFParameterType],
parameter_map: Dict[str, List[Tuple[int, ...]]],
) -> Dict[str, openmm.Force]:
"""Partitions the parameters in a force into a separate force for each parameter
id.
Args:
handler_force:... | 70,055 |
def loadMtlFile(mtllib, texParams=None):
"""Load a material library file (*.mtl).
Parameters
----------
mtllib : str
Path to the material library file.
texParams : list or tuple
Optional texture parameters for loaded textures. Texture parameters are
specified as a list of tu... | 70,056 |
def main():
"""Go Main Go"""
os.chdir('baseline')
for fn in glob.glob("*.met"):
location = fn[:-4]
output = open("%s.csv" % (location,), 'w')
output.write("date,high[F],low[F],precip[inch],gdd[F]\n")
for line in open(fn):
line = line.strip()
if (not li... | 70,057 |
async def zwave_setup_ready(hass, zwave_setup):
"""Zwave setup and set network to ready."""
zwave_network = hass.data[DATA_NETWORK]
zwave_network.state = MockNetwork.STATE_READY
await hass.async_start() | 70,058 |
def test_stringTypeValidator_correct_values(value):
"""Check if proper string values are validated."""
# no exception is expected
stringTypeValidator(value) | 70,059 |
def find_sol(c, ws, memo):
"""
Finds an optimal solution for the given instance of the subset sum problem
with weight capacity c and item weights ws, provided maximum total weights
for subproblems are memoized in memo.
"""
sol = []
for n in reversed(range(len(ws))):
if c >= ws[n] and... | 70,060 |
def sign_up_page():
"""Creates the signup page."""
global entry_config, win, login_frame, sign_up, image, signup_frame, signup_error, image, logo
login_frame.destroy()
sign_up_frame = tk.Frame(win, bg='#ffffff', height=768, width=1366)
sign_up_frame.pack()
sign_up_frame.pack_propagate(Fa... | 70,061 |
def atomic(connection_name: Optional[str] = None) -> Callable[[F], F]:
"""
Transaction decorator.
You can wrap your function with this decorator to run it into one transaction.
If error occurs transaction will rollback.
:param connection_name: name of connection to run with, optional if you have o... | 70,062 |
def get_rectangle_information(form):
"""
Функция для формирования json с полигоном для отрисовки аналитики по области
:param form: форма из POST запроса с координатами области (прямоугольника) и 6 основными фильтрами
:return: json с полигоном и необходимой информацией
"""
rectangle_information =... | 70,063 |
def distance(p0, p1):
"""calculate distance between two joint/3D-tuple in the XZ plane (2D)"""
return math.sqrt((p0[0] - p1[0])**2 + (p0[2] - p1[2])**2) | 70,064 |
def cut_traces(cntfile, annotation):
"""cut the tracedate from a matfile given Annotations
args
----
cntfile: FileName
the cntfile for cutting the data. must correspond in name to the one specified in the annotation
annotation: Annotations
the annotations specifying e.g. onsets as we... | 70,065 |
def get_args():
"""
Method to read the command line arguments and parse them
"""
parser = argparse.ArgumentParser(
description="Split a playlist into multiple playlists"
)
# Required arguments for the program
parser.add_argument("-p", "--playlist_id", required=True, help="Playlist I... | 70,066 |
def dict_raise_on_duplicates(ordered_pairs):
"""Reject duplicate keys."""
d = {}
schemaOrg = False
for k, v in ordered_pairs:
if re.search(r"\s", k):
# click.secho(k)
click.secho("Please remove the whitespace(s) in property name " + k+
"the Validator wil... | 70,067 |
def plot_radar_chart(data, line_labels, var_labels, **kwargs):
"""Make a radar chart.
Input data is assumed to differ in variables along the columns and differ in
observations/samples along the rows.
Parameters
----------
data: sequence, one- or two-dimensional
Data to plot. Must be so... | 70,068 |
def cod_tapcode(mensagem: str, tipo_saida: int) -> str:
# Tabela do tap code
"""Função para codificar em tap code"""
tabela: list = [['A', 'B', 'C', 'D', 'E'],
['F', 'G', 'H', 'I', 'J'],
['L', 'M', 'N', 'O', 'P'],
['Q', 'R', 'S', 'T', 'U'],
... | 70,069 |
def difference(df, cols, lag=1):
"""
Perform differencing on some columns in a dataframe.
Input:
------
df: pandas dataframe containing the timeseries data.
cols: list of strings indicating which columns to difference
"""
df2 = copy.deepcopy(df)
# Difference based on the lag provid... | 70,070 |
def regional_indicator(c: str) -> str:
"""Returns a regional indicator emoji given a character."""
return chr(0x1F1E6 - ord("A") + ord(c.upper())) | 70,071 |
def reset_pw(username):
"""Reset a password"""
password_new = ''.join(random.SystemRandom().
choice(string.ascii_uppercase + string.digits)
for _ in range(6))
cursor, conn = db_sql.connect('users.db')
sql = ("UPDATE users SET password = ? WHERE usern... | 70,072 |
def loadSim(simdir, paramname='snapshot.param'):
"""
Loads a dustydiffusion simulation from a directory. In particular, this
requires the runparameters to be saved in the directory.
Returns
-------
fs : list
list of pynbody snapshots
eps : fcn
Estimate the dust fraction... | 70,073 |
def main():
"""
Main - program execute
"""
#datadir = '../data/'
datadir = './'
getunzipped('http://terrabrasilis.dpi.inpe.br/file-delivery/download/deter-amz/shape', datadir)
# shapeaddrownumber(datadir + 'deter_public.shp', datadir + 'deter_all.shp' )
# shape_process(datadir + 'deter_public.shp', ... | 70,074 |
def update_event_participant(event_id, participant_id):
"""Update an event participant's attendance"""
if flask.request.method != "PUT":
return flask.abort(405)
# Return whether they're True or False based on what's in the request body
return flask.jsonify({"attended": True}) | 70,075 |
def send_test_campaign(c: str = None, e: str = None):
"""
Send a test campaign
"""
client = get_client()
if not c:
global campaign_id
c = campaign_id
d = {"test_emails": [e], "send_type": "html", "settings": {"subject_line": "Found test"}}
r = client.campaigns.actions.test(... | 70,076 |
def _CreateFeed(client):
"""Creates the feed for DSA page URLs.
Args:
client: an AdWordsClient instance.
Returns:
A _DSAFeedDetails instance containing details about the created feed.
"""
# Get the FeedService.
feed_service = client.GetService('FeedService', version='v201802')
# Create operatio... | 70,077 |
def parse_amount_string(amount: str) -> float:
"""
Parse strings like
- '1.000,00-'
- '1.000,00 S'
- '23,23+'
- '23,23 H'
to the correct amount as float
:param amount: The string of an amount
:return:
"""
# Replace H and S
amount = amount.replace("H", "+").repla... | 70,078 |
def install(ctx, profile=None, debug=False):
"""
Install the latest available apk into currently available device (emulator or real device)
"""
import buildozer
profile = profile or ""
buildo = buildozer.Buildozer()
buildo.config_profile = profile
buildo._merge_config_profile()
buil... | 70,079 |
def test_vlan_tc3_send_invalid_vid(ptfadapter, vlan_ports_list, toggle_all_simulator_ports_to_rand_selected_tor):
"""
Test case #3
Send packets with invalid VLAN ID
Verify no port can receive these packets
"""
logger.info("Test case #3 starting ...")
invalid_tagged_pkt = build_icmp_packet(... | 70,080 |
def custom_implicit_transformation(result, local_dict, global_dict):
"""Allows a slightly relaxed syntax.
- Parentheses for single-argument method calls are optional.
- Multiplication is implicit.
- Symbol names can be split (i.e. spaces are not needed between
symbols).
- Functions can be ... | 70,081 |
def model_core_from_theseus(models, alignment_file, var_by_res, work_dir=None):
"""
Only residues from the first protein are listed in the theseus output, but then not even all of them
We assume the output is based on the original alignment so that where each residue in the first protein
lines up ... | 70,082 |
def fractal_sda(signal, scales=None, show=False):
"""Standardised Dispersion Analysis (SDA)
SDA is part of a family of dispersion techniques used to compute fractal dimension.
The standardised time series is divided in bins of different sizes and their standard deviation (SD)
is calculated. The relatio... | 70,083 |
def gemini_exchange_cycle(config_file: str, debug_mode: bool) -> None:
"""Perform bot cycles using Gemini as the exchange
Args:
config_file: Path to the JSON file containing credentials
debug_mode: Are we running in debugging mode?
"""
# Load the configuration file
config_pa... | 70,084 |
def _randomize_dyads(network, keep, timeout):
"""
This function returns a network with the same nodes and edge number as the input network.
Each edge is swapped rather than moved, so the degree distribution is preserved.
:param network: NetworkX object in tuple, with first item in tuple being network n... | 70,085 |
def reproject(geom, from_proj='EPSG:4326', to_proj='EPSG:26942'):
"""Project from ESPG:4326 to ESPG:26942."""
tfm = partial(pyproj.transform, pyproj.Proj(init=from_proj), pyproj.Proj(init=to_proj))
return ops.transform(tfm, geom) | 70,086 |
def validate_xml(xml_to_check):
"""
validate the xml of the supplied input
:param xml_to_check: bytes object which is the xml to be validated
:return: True or False
"""
try:
etree.parse(BytesIO(xml_to_check))
return True
except etree.XMLSyntaxError:
return False | 70,087 |
def get_translation_dict_from_file(path, lang, app):
"""load translation dict from given path"""
cleaned = {}
if os.path.exists(path):
csv_content = read_csv_file(path)
for item in csv_content:
if len(item)==3:
# with file and line numbers
cleaned[item[1]] = strip(item[2])
elif len(item)==2:
... | 70,088 |
def write_numerical_base_acc(symo, inertia, beta_wrench, symmet=False):
"""
Write the base acceleration (6x1) vector to be computed numerically
using numpy in the output file.
"""
# write strating comments
symo.write_line("# SOLVE NUMERICALLY FOR BASE ACCELERATION - START")
symo.write_line("... | 70,089 |
def __scale_width(img, target_width):
"""__scale_width"""
ow, oh = img.size
# the size needs to be a multiple of this number,
# because going through generator network may change img size
# and eventually cause size mismatch error
mult = 4
assert target_width % mult == 0, "the target width ... | 70,090 |
def demo2():
"""
现在我们想要避免无谓的等待, 为了提高效率, 我们将使用 async.
washing1/2/3() 本是 "普通函数", 现在我们用 async 把它们升级为 "异步函数".
注: 一个异步的函数, 有个更标准的称呼, 我们叫它 "协程" (coroutine).
"""
async def washing1():
sleep(3)
print('washer1 finished')
async def washing2():
sleep(2)
pr... | 70,091 |
def test_request_200(get_data):
"""Test that the Candles class sends a GET request and receives a
successful response."""
assert get_data.r.status_code == 200 | 70,092 |
def validate_orcid_id(ctx, param, orcid_id: str):
"""
Check if valid ORCID iD, should be https://orcid.org/ + 16 digit in form:
https://orcid.org/0000-0000-0000-0000. ctx and param are
necessary `click` callback arguments
"""
if re.match(ORCID_ID_REGEX, orcid_id):
return orcid_id... | 70,093 |
def StageWheelForPackage(system, wheel_dir, wheel):
"""Finds the single wheel in wheel_dir and copies it to the filename indicated
by wheel.filename. Returns the name of the wheel we found.
"""
dst = os.path.join(system.wheel_dir, wheel.filename)
source_path = _FindWheelInDirectory(wheel_dir)
util.LOGGER.d... | 70,094 |
def _get_build_modes_for_base_path(base_path):
""" Returns `get_build_modes_for_cell_and_base_path()` for the specified base_path """
return _get_build_modes_for_cell_and_base_path(
config.get_current_repo_name(),
base_path,
) | 70,095 |
def unique_chunks(lst, n):
""" Returns unique chunks of length n from lst. """
if n < 1:
return set()
return {tuple(lst[i:i + n]) for i in range(0, len(lst), n)} | 70,096 |
def query_turtle(sparql_query):
""" Make a SPARQL query with turtle format response"""
data = {'query': sparql_query, 'format': 'text/turtle'}
auth = (settings.SPARQL_AUTH_USR, settings.SPARQL_AUTH_PWD)
headers = {'Accept': 'text/turtle'}
r = requests.post(settings.SPARQL_QUERY_URI, data=data, auth=... | 70,097 |
def predict_note_auth():
""" BANK NOTES AUTHENTICATION
This is using DOCSTRING for specifications.
----
parameters:
- name : variance
in: query
type : number
required : true
- name : skewness
in: query
type : number
required : t... | 70,098 |
def mse(predicted, actual):
"""
Mean squared error of predictions.
.. versionadded:: 0.5.0
Parameters
----------
predicted : ndarray
Predictions on which to measure error. May
contain a single or multiple column but must
match `actual` in shape.
actual : ndarray
... | 70,099 |
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