content stringlengths 22 815k | id int64 0 4.91M |
|---|---|
def get_predictions(single_stream, class_mapping_dict, ip, port, model_name):
"""Gets predictions for a single image using Tensorflow serving
Arguments:
single_stream (dict): A single prodigy stream
class_mapping_dict (dict): with key as int and value as class name
ip (str): tensorflow ... | 5,341,100 |
def interaction_graph(matrix):
"""Create a networkx graph object from a (square) matrix.
Parameters
----------
matrix : numpy.ndarray
| Matrix of mutual information, the information for the edges
is taken from the upper matrix
Returns
-------
graph : networkx.Graph()
... | 5,341,101 |
def tags_filter(osm_pbf, dst_fname, expression, overwrite=True):
"""Extract OSM objects based on their tags.
The function reads an input .osm.pbf file and uses `osmium tags-filter`
to extract the relevant objects into an output .osm.pbf file.
Parameters
----------
osm_pbf : str
Path to... | 5,341,102 |
def bound_n_samples_from_env(n_samples: int):
"""Bound number of samples from environment variable.
Uses environment variable `PYPESTO_MAX_N_SAMPLES`.
This is used to speed up testing, while in application it should not
be used.
Parameters
----------
n_samples: Number of samples desired.
... | 5,341,103 |
def weight_inter_agg(num_relations, self_feats, neigh_feats, embed_dim, weight, alpha, n, cuda):
"""
Weight inter-relation aggregator
Reference: https://arxiv.org/abs/2002.12307
:param num_relations: number of relations in the graph
:param self_feats: batch nodes features or embeddings
:param ne... | 5,341,104 |
def ho2ro(ho):
"""Axis angle pair to Rodrigues-Frank vector."""
return Rotation.ax2ro(Rotation.ho2ax(ho)) | 5,341,105 |
def stop_listener():
""" Tell the current running server to stop, must check is_listener_running() before calling """
f = open(SERVER_LOCK_FILE, 'r')
port = int(f.readline())
f.close()
server = ('127.0.0.1', port)
client_socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
client_socke... | 5,341,106 |
def get_ratio(old, new):
# type: (unicode, unicode) -> float
"""Return a "similiarity ratio" (in percent) representing the similarity
between the two strings where 0 is equal and anything above less than equal.
"""
if not all([old, new]):
return VERSIONING_RATIO
if IS_SPEEDUP:
r... | 5,341,107 |
def test_roundtrip_run(mlflow_client: MlflowClient):
"""Creates an experiment, gets it, and deletes it."""
# Create experiment
experiment_name = "Test Roundtrip Run"
experiment_id = mlflow_client.create_experiment(experiment_name)
# Create run
run = mlflow_client.create_run(experiment_id)
m... | 5,341,108 |
def test_wam_format(filename):
""" Ensure the yaml file is valid
and all required fields are present in each api block
"""
print('Checking ' + filename)
with open(filename, 'rb') as fh:
config = yaml.load(fh.read())
assert(config['version'] == '1.0')
for name, webarchive in confi... | 5,341,109 |
def sample2D(F, X, Y, mask=None, undef_value=0.0, outside_value=None):
"""Bilinear sample of a 2D field
*F* : 2D array
*X*, *Y* : position in grid coordinates, scalars or compatible arrays
*mask* : if present must be a 2D matrix with 1 at valid
and zero at non-valid points
*undef_va... | 5,341,110 |
async def test_add_and_delete(client, basedn):
""" Test adding and deleting an LDAP entry. """
async with client.connect(True) as conn:
entry = LDAPEntry("cn=async_test,%s" % basedn)
entry["objectclass"] = [
"top",
"inetOrgPerson",
"person",
"organ... | 5,341,111 |
def read(file=None, timeout=10, wait=0.2, threshold=32):
"""Return the external temperature.
Keyword arguments:
file -- the path to the 1-wire serial interface file
timeout -- number of seconds without a reading after which to give up
wait -- number of seconds to wait after a failed read before ret... | 5,341,112 |
def rotations_to_radians(rotations):
"""
converts radians to rotations
"""
return np.pi * 2 * rotations | 5,341,113 |
def _expect_ket(oper, state):
"""Private function to calculate the expectation value of
an operator with respect to a ket.
"""
oper, ket = jnp.asarray(oper), jnp.asarray(state)
return jnp.vdot(jnp.transpose(ket), jnp.dot(oper, ket)) | 5,341,114 |
def resnet152(pretrained=False, last_stride=1, model_path=''):
"""Constructs a ResNet-50 model.
Args:
pretrained (bool): If True, returns a model pre-trained on ImageNet
progress (bool): If True, displays a progress bar of the download to stderr
"""
return _resnet(pretrained=pretrained... | 5,341,115 |
def check_wheel_move_during_closed_loop(data, wheel_gain=None, **_):
""" Check that the wheel moves by approximately 35 degrees during the closed-loop period
on trials where a feedback (error sound or valve) is delivered.
Metric: M = abs(w_resp - w_t0) - threshold_displacement, where w_resp = position at r... | 5,341,116 |
def next_fast_len(target: int) -> int:
"""
Find the next fast size of input data to `fft`, for zero-padding, etc.
SciPy's FFTPACK has efficient functions for radix {2, 3, 4, 5}, so this
returns the next composite of the prime factors 2, 3, and 5 which is
greater than or equal to `target`. (These ar... | 5,341,117 |
def deformed(solver):
""" Method: output the deformed state to a file """
V = FunctionSpace(solver.domain.mesh,solver.Ve)
y = SpatialCoordinate(solver.domain.mesh)
write = dot(Constant(solver.F_macro),y)+solver.v
filename = File(os.path.join(solver.work_dir, "deformation.pvd"))
filename << pro... | 5,341,118 |
def get_user_requests():
""" endpoint for getting requests of a perticular user.
---
parameters:
- name: x-access-token
in: header
type: string
required: true
- name: user_id
required: true
in: path
type: integer
""" | 5,341,119 |
def human_format(val : int, fmt = '.1f') -> str :
""" convert e.g. 1230 -> 1.23k """
units = ['', 'K', 'M', 'G']
base = min(int(np.floor(np.log10(val)))//3, len(units))
if base==0:
return str(val)
val = val/10**(3*base)
res = ('{{:{}}} {}'.format(fmt, units[base])).format(val)
ret... | 5,341,120 |
def select_or_insert(conn, table, id_name, payload, name=None, multi=False, insert=True):
""" Prepare the SQL statements, payload MUST be a list """
log.debug('payload: {}'.format(payload))
if multi is False:
sql_str = ''.join(['SELECT ', id_name, ' FROM ', table, ' WHERE ', name, ' LIKE (%s);'])
... | 5,341,121 |
def random_choice(number: int) -> bool:
"""
Generate a random int and compare with the argument passed
:param int number: number passed
:return: is argument greater or equal then a random generated number
:rtype: bool
"""
return number >= randint(1, 100) | 5,341,122 |
def request_l3_attachments(session, apic) -> Any:
"""Request current policy enformation for encap for Outs"""
root = None
uri = f"https://{apic}/api/class/l3extRsPathL3OutAtt.xml"
response = session.get(uri, verify=False)
try:
root = ET.fromstring(response.text)
except ET.Pa... | 5,341,123 |
def main(args=None):
""" Runs an Explorer node """
rclpy.init(args=args)
explorer = ExploreController()
explorer.run()
rclpy.spin(explorer)
explorer.destroy_node()
rclpy.shutdown() | 5,341,124 |
def robot(ctxt, file_=None):
"""Extract data from a ``pybot`` report.
:param ctxt: the build context
:type ctxt: `Context`
:param file\_: name of the file containing the pybot report
"""
assert file_, 'Missing required attribute "file"'
results = xmlio.Fragment()
for case in RobotFram... | 5,341,125 |
def bet_plot(
pressure,
bet_points,
minimum,
maximum,
slope,
intercept,
p_monolayer,
bet_monolayer,
ax=None
):
"""
Draw a BET plot.
Parameters
----------
pressure : array
Pressure points which will make up the x axis.
bet_points : array
BET-tr... | 5,341,126 |
def paged_response(
*,
view: viewsets.GenericViewSet,
queryset: Optional[QuerySet] = None,
status_code: Optional[int] = None,
):
"""
paged_response can be used when there is a need to paginate a custom
API endpoint.
Usage:
class UsersView(ModelViewSet):
...
... | 5,341,127 |
def getObjectPositions(mapData, threshold, findCenterOfMass = True):
"""Creates a segmentation map and find objects above the given threshold.
Args:
mapData (:obj:`numpy.ndarray`): The 2d map to segment.
threshold (float): The threshold above which objects will be selected.
findCent... | 5,341,128 |
def specific_humidity(p,RH,t,A=17.625,B=-30.11,C=610.94,masked=False):
"""
From Mark G. Lawrence, BAMS Feb 2005, eq. (6)
q = specific_humidity(p,RH,t,A,B,C)
inputs: p = pressure (Pa)
RH = relative humidity (0-1)
t = temperature (K)
keywords: A, B and C are optional fi... | 5,341,129 |
def list_versions():
"""
List the EMDB-SFF versions that are migratable to the current version
:return: status
:return: version_count
"""
version_count = len(VERSION_LIST)
for version in VERSION_LIST[:-1]:
_print('* {version}'.format(version=version))
return os.EX_OK, version_cou... | 5,341,130 |
def build_parser():
"""
Build a pyparsing parser for our custom topology description language.
:return: A pyparsing parser.
:rtype: pyparsing.MatchFirst
"""
ParserElement.setDefaultWhitespaceChars(' \t')
nl = Suppress(LineEnd())
inumber = Word(nums).setParseAction(lambda l, s, t: int(t[... | 5,341,131 |
def decode_owner(owner_id: str) -> str:
"""Decode an owner name from an 18-character hexidecimal string"""
if len(owner_id) != 18:
raise ValueError('Invalid owner id.')
hex_splits = split_by(owner_id, num=2)
bits = ''
for h in hex_splits:
bits += hex_to_bin(h)
test_owner = ''
for seq in split_by(b... | 5,341,132 |
def test_inline_config():
""":meth:`config.inline()` shell commands list to string."""
test_config = config.inline(ibefore_config)
assert test_config == iafter_config | 5,341,133 |
def _get_back_up_generator(frame_function, *args, **kwargs):
"""Create a generator for the provided animation function that backs up
the cursor after a frame. Assumes that the animation function provides
a generator that yields strings of constant width and height.
Args:
frame_function: A funct... | 5,341,134 |
def from_aiohttp(
schema_path: str,
app: Any,
*,
base_url: Optional[str] = None,
method: Optional[Filter] = None,
endpoint: Optional[Filter] = None,
tag: Optional[Filter] = None,
operation_id: Optional[Filter] = None,
skip_deprecated_operations: bool = False,
validate_schema: boo... | 5,341,135 |
def wasb(connection_name, path_from, path_to, is_file, raise_errors, sync_fw):
"""Create wasb path context."""
_download(
connection_name=connection_name,
connection_kind=V1ConnectionKind.WASB,
path_from=path_from,
path_to=path_to,
is_file=is_file,
raise_errors=ra... | 5,341,136 |
def summarize(fname, start, stop,output_dir):
"""
Process file[start:stop]
start and stop both point to first char of a line (or EOF)
"""
ls_1995_1996 = []
for i in range (1995,2006):
ls_1995_1996.append([])
with open(fname, newline='', encoding='utf-8') as inf:
# jump to s... | 5,341,137 |
def compute_recall(true_positives, false_negatives):
"""Compute recall
>>> compute_recall(0, 10)
0.0
>>> compute_recall(446579, 48621)
0.901815
"""
return true_positives / (true_positives + false_negatives) | 5,341,138 |
def get_highest_seat_id():
"""
Returns the highest seat ID from all of the boarding passes.
"""
return max(get_seat_ids()) | 5,341,139 |
def error_function_index(gpu_series, result_series):
"""
utility function to compare GPU array vs CPU array
Parameters
------
gpu_series: cudf.Series
GPU computation result series
result_series: pandas.Series
Pandas computation result series
Returns
-----
double
... | 5,341,140 |
def get_tipo_aqnext(tipo) -> int:
"""Solve the type of data used by DJANGO."""
tipo_ = 3
# subtipo_ = None
if tipo in ["int", "uint", "serial"]:
tipo_ = 16
elif tipo in ["string", "stringlist", "pixmap", "counter"]:
tipo_ = 3
elif tipo in ["double"]:
tipo_ = 19
elif... | 5,341,141 |
def fetch_indicators_command(client: Client) -> List[Dict]:
"""Wrapper for fetching indicators from the feed to the Indicators tab.
Args:
client: Client object with request
Returns:
Indicators.
"""
indicators = fetch_indicators(client)
return indicators | 5,341,142 |
def test_dtm_alt_min_max():
"""
Test dtm alt min/max
"""
dtm_file = os.path.join(data_path(), "dtm", "srtm_ventoux", "srtm90_non_void_filled", "N44E005.hgt")
geoid_file = os.path.join(data_path(), "dtm", "geoid", "egm96_15.gtx")
dtm_ventoux = DTMIntersection(dtm_file, geoid_file, roi=[256, 256, ... | 5,341,143 |
def hr_lr_ttest(hr, lr):
""" Returns the t-test (T statistic and p value), comparing the features for
high- and low-risk entities. """
res = stats.ttest_ind(hr.to_numpy(), lr.to_numpy(), axis=0, nan_policy="omit", equal_var=False)
r0 = pd.Series(res[0], index=hr.columns)
r1 = pd.Series(res[1], inde... | 5,341,144 |
def _is_empty(str_: str) -> bool:
"""文字列が空か
文字列が空であるかを判別する
Args:
str_ (str): 文字列
Returns:
bool: 文字列が空のときはTrue,
空でないときはFalseを返す.
"""
if str_:
return False
return True | 5,341,145 |
def delete(val: str) -> None:
"""Deletes a word from the trie if it exists and displays the status of the operation
Args:
val (str): The word you wish to delete from the trie
"""
print(request('Delete keyword', val)) | 5,341,146 |
def template (name, typename, value) :
"""
<configProperty>
<name>${name}</name>
<value>
<type>
<kind>tk_${typename}</kind>
</type>
<value>
<${typename}>${value}</${typename}>
</value>
</value>
</configProperty>
""" | 5,341,147 |
def main():
"""
Run this main function if this script is called directly.
:return: None
"""
working_directory = os.path.dirname(os.path.realpath(__file__))
print(working_directory)
repo_details = RepoDetails(working_directory, sub_paths=['\\README.md'], use_directory_hash=True)
r... | 5,341,148 |
def energy_generate_random_range_dim2(filepath,dim_1_low,dim_1_high,dim_2_low,dim_2_high,num=500):
"""
6, 8 and 10
"""
queryPool=[]
query=[]
for _ in range(num):
left1 = random.randint(dim_1_low, dim_1_high)
right1 = random.randint(left1, dim_1_high)
query.append... | 5,341,149 |
def preprocess(data_folder):
""" Runs the whole pipeline and returns NumPy data array"""
SAMPLE_TIME = 30
CHANNELS = ['EEG Fpz-Cz', 'EEG Pz-Oz']
res_array = []
for path in os.listdir(data_folder):
if path.endswith("PSG.edf"):
full_path = os.path.join(data_folder, path)
... | 5,341,150 |
def get_waas_policies(compartment_id: Optional[str] = None,
display_names: Optional[Sequence[str]] = None,
filters: Optional[Sequence[pulumi.InputType['GetWaasPoliciesFilterArgs']]] = None,
ids: Optional[Sequence[str]] = None,
state... | 5,341,151 |
def _get_output_type(output):
"""Choose appropriate output data types for HTML and LaTeX."""
if output.output_type == 'stream':
html_datatype = latex_datatype = 'ansi'
text = output.text
output.data = {'ansi': text[:-1] if text.endswith('\n') else text}
elif output.output_type == 'er... | 5,341,152 |
def cat_train_validate_on_cv(
logger,
run_id,
train_X,
train_Y,
test_X,
metric,
kf,
features,
params={},
num_class=None,
cat_features=None,
log_target=False,
):
"""Train a CatBoost model, validate using cross validation. If `test_X` has
a valid value, creates a ne... | 5,341,153 |
def find_left(char_locs, pt):
"""Finds the 'left' coord of a word that a character belongs to.
Similar to find_top()
"""
if pt not in char_locs:
return []
l = list(pt)
while (l[0]-1, l[1]) in char_locs:
l = [l[0]-1, l[1]]
return l | 5,341,154 |
def make_file_url(file_id, base_url):
"""Create URL to access record by ID."""
url_parts = list(urlparse.urlparse(base_url))
url_parts[2] = pathlib.posixpath.join(
DATAVERSE_API_PATH, DATAVERSE_FILE_API
)
args_dict = {'persistentId': file_id}
url_parts[4] = urllib.parse.urlencode(args_di... | 5,341,155 |
def std_func(bins, mass_arr, vel_arr):
"""
Calculate std from mean = 0
Parameters
----------
bins: array
Array of bins
mass_arr: array
Array of masses to be binned
vel_arr: array
Array of velocities
Returns
---------
std_arr: array
Standard devia... | 5,341,156 |
def test_transact_opcode(deploy_client):
""" The receipt status field of a transaction that did not throw is 0x1 """
contract_proxy = deploy_rpc_test_contract(deploy_client, "RpcTest")
address = contract_proxy.contract_address
assert len(deploy_client.web3.eth.getCode(to_checksum_address(address))) > 0... | 5,341,157 |
def log_neg(rho,mask=[1,0]):
""" Calculate the logarithmic negativity for a density matrix
Parameters:
-----------
rho : qobj/array-like
Input density matrix
Returns:
--------
logneg: Logarithmic Negativity
"""
if rho.type != 'oper':
raise TypeError("In... | 5,341,158 |
def test_remove(tmpdir, kind, driver, specify_driver):
"""Test various dataset removal operations"""
extension = {"ESRI Shapefile": "shp", "GeoJSON": "json"}[driver]
filename = "delete_me.{extension}".format(extension=extension)
output_filename = str(tmpdir.join(filename))
create_sample_data(output... | 5,341,159 |
def create_polygon(pixels_selected: set, raster_path: str) -> gpd.GeoDataFrame:
"""
It allows to transform each of the indexes of the
pixel data in coordinates for further processing
the answer polygon
Parameters
--------------
pixels_selected: set
Set with the pixels selected for t... | 5,341,160 |
def test_delete_webhook(client):
"""Tests deletion of a webhook
"""
resp = client.delete_webhook(PROJECT_ID, WEBHOOK_ID)
assert resp['project_id'] == PROJECT_ID
assert resp['webhook_deleted'] | 5,341,161 |
def main(rows: int, columns: int, mines: int) -> None:
"""Your favorite sweeping game, terminal style."""
ui = PySweeperUI(rows, columns, mines)
ui.main() | 5,341,162 |
def read_output(path_elec,path_gas):
"""
Used to read the building simulation I/O file
Args:
path_elec: file path where data is to be read from in minio. This is a mandatory parameter and in the case where only one simulation I/O file is provided, the path to this file should be indicated here.
... | 5,341,163 |
def parse_lmap(filename, goal, values):
"""Parses an LMAP file into a map of literal weights, a LiteralDict object,
the literal that corresponds to the goal variable-value pair, and the
largest literal found in the file."""
weights = {}
max_literal = 0
literal_dict = LiteralDict()
for line i... | 5,341,164 |
def show_sample(sample):
"""Shows the sample with tasks and answers"""
print("Train:")
for i in range(len(sample["train"])):
fig = plt.figure()
ax1 = fig.add_subplot(121)
ax1.matshow(np.array(sample["train"][i]["input"]), cmap="Set3", norm=mpl.colors.Normalize(vmin=0, vmax=9))
... | 5,341,165 |
def read_image(path: str):
"""
Read an image file
:param path: str. Path to image
:return: The image
"""
return imageio.imread(path) | 5,341,166 |
def main():
"""
Quality Control Workflow.
"""
cfp = ConfigParser()
if cfp.start is not None and cfp.end is not None:
assert cfp.start <= cfp.end
else:
print("Error Start or End Time.")
sys.exit()
if cfp.index != "all":
print("Index should be [ al... | 5,341,167 |
def test_send_invalid_apikey(
api_options,
email_id,
recipient,
email_data
):
""" Test send with invalid API key. """
invalid_api = sendwithus.api('INVALID_API_KEY', **api_options)
result = invalid_api.send(
email_id,
recipient,
email_data=email_data
)
assert ... | 5,341,168 |
def electrolyte_conductivity_Capiglia1999(c_e, T, T_inf, E_k_e, R_g):
"""
Conductivity of LiPF6 in EC:DMC as a function of ion concentration. The original
data is from [1]. The fit is from Dualfoil [2].
References
----------
.. [1] C Capiglia et al. 7Li and 19F diffusion coefficients and therma... | 5,341,169 |
def random_bdays(n):
"""Returns a list of integers between 1 and 365, with length n.
n: int
returns: list of int
"""
t = []
for i in range(n):
bday = random.randint(1, 365)
t.append(bday)
return t | 5,341,170 |
def int_to_charset(val, charset):
""" Turn a non-negative integer into a string.
"""
if not val >= 0:
raise ValueError('"val" must be a non-negative integer.')
if val == 0: return charset[0]
output = ""
while val > 0:
val, digit = divmod(val, len(charset))
output += chars... | 5,341,171 |
def Reset(remove_obstacles = False, remove_weight = False):
"""
Rsets all the nodes to normal nodes except the start and end nodes
"""
global remaining_nodes_to_flip
remaining_nodes_to_flip = 0
screen.fill(background_color)
for column in node_list:
for node in column:
if node.is_obstacle:
if remove_obs... | 5,341,172 |
def search(tabela, *, parms='*', clause=None):
""" Função que recebe como parâmetro obrigatório o nome da tabela a ser consultada,
como parâmetro padrão recebe os filtros da pesquisa e retorna todas as linhas encontradas """
banco = Banco()
banco.connect()
banco.execute(f"SELECT {parms} FR... | 5,341,173 |
def make_mask_3d(imagename, thresh, fl=False, useimage=False, pixelmin=0,
major=0, minor=0, pixelsize=0, line=False, overwrite_old=True,
closing_diameter=6, pbimage=None, myresidual=None,
myimage=None, extension='.fullmask',
spectral_closing=3):
""... | 5,341,174 |
def hash(data):
"""run the default hashing algorithm"""
return _blacke2b_digest(data) | 5,341,175 |
def _print_log_events(
events: typing.List[dict],
function_name: str,
show_name: bool,
):
"""
Print out the given set of events from a `get_log_events` call.
:param events:
The raw events to print out.
:param function_name:
The name of the function from which the events came... | 5,341,176 |
def _insert_text_func(s, readline):
"""Creates a function to insert text via readline."""
def inserter():
readline.insert_text(s)
readline.redisplay()
return inserter | 5,341,177 |
def init_logging(verbose: bool) -> None:
""" Initialize the logging system """
if verbose:
logging.basicConfig(format="%(levelname)s: %(message)s",
level=logging.DEBUG)
else:
logging.basicConfig(format="%(levelname)s: %(message)s") | 5,341,178 |
def dumps(ndb_model, **kwargs):
"""Custom json dumps using the custom encoder above."""
return NdbEncoder(**kwargs).encode(ndb_model) | 5,341,179 |
def classifier_on_rbm_scores(models, dataset_train, dataset_test, clfs=None):
"""
TODO: store progress on heirarchical clustering; that is the slowest step
clfs: list of classifiers
"""
if clfs is None:
clfs = [CLASSIFIER]
features_order = list(models.keys())
feature_dim = len(featu... | 5,341,180 |
def _evolve_no_collapse_psi_out(config):
"""
Calculates state vectors at times tlist if no collapse AND no
expectation values are given.
"""
global _cy_rhs_func
global _cy_col_spmv_func, _cy_col_expect_func
global _cy_col_spmv_call_func, _cy_col_expect_call_func
num_times = len(config.... | 5,341,181 |
def say_hello():
"""Prints "Hello, world!" """
print("Hello, World!") | 5,341,182 |
def get_version_from_package() -> str:
"""Read the package version from the source without importing it."""
path = os.path.join(os.path.dirname(__file__), "arcpy2foss/__init__.py")
path = os.path.normpath(os.path.abspath(path))
with open(path) as f:
for line in f:
if line.startswith... | 5,341,183 |
def delete_cert(resource, event, trigger, **kwargs):
"""Delete client certificate and private key """
if not verify_client_cert_on():
return
with get_certificate_manager(**kwargs) as cert:
if cfg.CONF.nsx_v3.nsx_client_cert_storage.lower() == "none":
filename = get_cert_filename... | 5,341,184 |
def create_critic_train_op(hparams, critic_loss, global_step):
"""Create Discriminator train op."""
with tf.name_scope('train_critic'):
critic_optimizer = tf.train.AdamOptimizer(hparams.critic_learning_rate)
output_vars = [
v for v in tf.trainable_variables() if v.op.name.startswith(... | 5,341,185 |
def interpolate(data, tstep):
"""Interpolate limit order data.
Uses left-hand interpolation, and assumes that the data is indexed by timestamp.
"""
T, N = data.shape
timestamps = data.index
t0 = timestamps[0] - (timestamps[0] % tstep) # 34200
tN = timestamps[-1] - (timestamps[-1] % tstep)... | 5,341,186 |
def test_aligner_9():
""" testing semi-global alignment
example coming from https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-096-algorithms-for-computational-biology-spring-2005/lecture-notes/lecture5_newest.pdf
page 22. The example targets `end-gap-free` alignment. This im... | 5,341,187 |
def doColorTransfer(org_content, output, raw_data, with_color_match = False):
"""
org_content path or 0-1 np array
output path or 0-1 np array
raw_data boolean | toggles input
"""
if not raw_data:
org_content = imageio.imread(org_content, pilmode="RGB").astype(float)/256
output = image... | 5,341,188 |
def update_file(filename: str, variable_dict: dict) -> None:
"""Update the given file with the given data"""
try:
file = open(f"data/gamedata/{filename}.json", "w", encoding="utf-8")
file.write(dumps(variable_dict, indent=3))
file.close()
except TypeError:
print("TypeError") | 5,341,189 |
def test_chunked_full_blocks():
"""
Test chunking when the input length is a multiple of the block length.
"""
chunks = list(_chunked("abcd", 2))
assert len(chunks) == 2
assert len(chunks[0]) == 2
assert len(chunks[1]) == 2 | 5,341,190 |
def tb_filename(tb):
"""Helper to get filename from traceback"""
return tb.tb_frame.f_code.co_filename | 5,341,191 |
async def fetch_symbol(symbol: str):
"""
get symbol info
"""
db = SessionLocal()
s = db.query(SymbolSchema).filter(SymbolSchema.symbol == symbol).first()
res = {"symbol": s.symbol, "name": s.name}
return res | 5,341,192 |
def compile_to_json(expression: expr.Expression):
"""Compile expression tree to json-serializable python datatypes"""
pass | 5,341,193 |
def all_live_response_sessions(cb: CbResponseAPI) -> List:
"""List all LR sessions still in server memory."""
return [sesh for sesh in cb.get_object(f"{CBLR_BASE}/session")] | 5,341,194 |
def unserialize_model_params(bin: bin):
"""Unserializes model or checkpoint or diff stored in db to list of tensors"""
state = StatePB()
state.ParseFromString(bin)
worker = sy.VirtualWorker(hook=None)
state = protobuf.serde._unbufferize(worker, state)
model_params = state.tensors()
return mo... | 5,341,195 |
def config(clazz):
"""Decorator allowing to transform a python object into a configuration file, and vice versa
:param clazz: class to decorate
:return: the decorated class
"""
return deserialize(serialize(dataclass(clazz))) | 5,341,196 |
def wrap_method_once(func: t.Callable[..., t.Any]) -> t.Callable[..., t.Any]:
"""manage Runnable state for given method"""
# we don't re-wrap methods that had the state management wrapper
if hasattr(func, 'handler_wrapped'):
return func
@functools.wraps(func)
def wrapped_runnable_method(*ar... | 5,341,197 |
async def all(iterable: ty.AsyncIterator[T]) -> bool:
"""Return ``True`` if **all** elements of the iterable are true (or if the
iterable is empty).
:param iterable: The asynchronous iterable to be checked.
:type iterable: ~typing.AsyncIterator
:returns: Whether all elements of the iterable are ... | 5,341,198 |
def set_file_logger(filename: str, name: str = 'parsl', level: int = logging.DEBUG, format_string: Optional[str] = None):
"""Add a stream log handler.
Args:
- filename (string): Name of the file to write logs to
- name (string): Logger name
- level (logging.LEVEL): Set the logging level... | 5,341,199 |
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