input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
# -*- fundamental -*-
#
# Tests for parsing inflection tables
#
# Copyright (c) 2021 <NAME>. See file LICENSE and https://ylonen.org
import unittest
import json
from wikitextprocessor import Wtp
from wiktextract import WiktionaryConfig
from wiktextract.inflection import parse_inflection_section
class InflTests(unitte... | |
medulla.",
{"entities": [(101, 113, LABEL), (180, 213, LABEL), (227, 234, LABEL), (53, 71, FUNC)]}),
###TESTED TO HERE
("Some NTS neurones are glucose sensitive, while others express POMC, leptin receptors or the MC4R.",
{"entities": [(5, 8, LABEL), (22, 29, PHYS), (62, 66, NT), (68, 84, PHYS), (92, 96, PHYS)]}),
... | |
# Copyright 2012 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | |
"Discarding 3' end of reads"
logger.info(msg)
map_df.loc[m_positive, 'end'] = map_df.loc[m_positive, 'start'] + 1
map_df.loc[m_negative, 'start'] = map_df.loc[m_negative, 'end'] - 1
# now sort everything
msg = "Sorting reads by coordinates"
logger.info(msg)
map_df = map_df.sort_values(['seqname', 'start'])
... | |
o00oOOO0Ooo , True )
if 88 - 88: OoO0O00 . I1Ii111 / I11i
IiiI1iii1iIiiI += o00oOOO0Ooo + " since " + IiiIiiIIII
if 47 - 47: OoO0O00 + I1ii11iIi11i . ooOoO0o
if ( lisp . lisp_rloc_probing ) :
IiiIiIIi1 = II1iiiiI1 . print_rloc_probe_rtt ( )
if ( IiiIiIIi1 != "none" ) : IiiI1iii1iIiiI += "<br>rtt: {}, hops: {}" . ... | |
# mysql/reflection.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
import re
from .enumerated import _EnumeratedValues
from .enumerated import SET... | |
<gh_stars>0
# Copyright 2019 The TensorNetwork Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | |
"""
import socket
import time
result = open_url(url, 0, timeout)
if result.status == InstallationResult.SUCCESS:
rf = result.result
else:
return result
metadata = rf.info()
rf_size = int(metadata.getheaders("Content-Length")[0])
dl_size = 0
block = 16384
x = 0
y = 0
pb = ProgressBar(x, y, rf_size, ... | |
# coding: utf-8
"""
DocuSign REST API
The DocuSign REST API provides you with a powerful, convenient, and simple Web services API for interacting with DocuSign. # noqa: E501
OpenAPI spec version: v2.1
Contact: <EMAIL>
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re... | |
import json
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from ImagingReso import _utilities
import plotly.tools as tls
class Resonance(object):
e_min = 1e-5
e_max = 1e8
stack = {} # compound, thickness, atomic_ratio of each layer with isotopes information
stack_sigma = {} # ... | |
<reponame>Rogdham/pyTenable<gh_stars>0
'''
Exports
=======
The following methods allow for interaction into the Tenable.io
:devportal:`exports <exports>` API endpoints.
Methods available on ``tio.exports``:
.. rst-class:: hide-signature
.. autoclass:: ExportsAPI
:members:
'''
from uuid import UUID
from json.decoder... | |
<reponame>thespacedoctor/rockAtlas<filename>rockAtlas/positions/pyephemPositions.py
#!/usr/local/bin/python
# encoding: utf-8
"""
*Estimate the positions of moving objects in the neighbourhood of the ATLAS exposures using pyephemPositions and add results to the database*
:Author:
<NAME>
:Date Created:
October 30, 2... | |
return d.errback(result.ue)
if result.te != None:
return d.errback(result.te)
return d.errback(TApplicationException(TApplicationException.MISSING_RESULT, "get failed: unknown result"))
def get_slice(self, key, column_parent, predicate, consistency_level):
"""
Get the group of columns contained by column_parent ... | |
<reponame>jorobledo/StratoPy
import datetime
import os
import attr
from netCDF4 import Dataset
import numpy as np
from pyorbital import astronomy
from pyspectral.near_infrared_reflectance import Calculator
from scipy import interpolate
from . import core
PATH = os.path.abspath(os.path.dirname(__file__))
def r... | |
and module.params['encryption_mode'] == 'aws:kms':
params['config'] = botocore.client.Config(signature_version='s3v4')
elif module.params['mode'] in ('get', 'getstr') and sig_4:
params['config'] = botocore.client.Config(signature_version='s3v4')
if module.params['dualstack']:
dualconf = botocore.client.Config(s3={... | |
<filename>laplace/baselaplace.py
from abc import ABC, abstractmethod, abstractproperty
from math import sqrt, pi
import numpy as np
import torch
from torch.nn.utils import parameters_to_vector, vector_to_parameters
from torch.distributions import MultivariateNormal, Dirichlet, Normal
from laplace.utils import paramete... | |
<filename>python/hist-interpreter.py
import argparse
import os
import timeit
import numpy as np
import matplotlib.pyplot as plt
start = timeit.default_timer()
parser = argparse.ArgumentParser()
parser.add_argument('-b', '--begin', help="Start value", required=True)
parser.add_argument('-e', '--end', help="End value"... | |
only authed requests get through (default: True)
optionally pass in Auth subclass
error: message to use in case of unhandled exception
methods: HTTP methods to allow through (default: all)
only: only wrap the method to provide
.abort()/unhandled-exception support
throttle: rate-limit clients (default: True)
opti... | |
max_allele=None, dtype='u1'):
"""Transform genotype calls into allele counts per call.
Parameters
----------
max_allele : int, optional
Highest allele index. Provide this value to speed up computation.
dtype : dtype, optional
Output dtype.
Returns
-------
out : ndarray, uint8, shape (n_variants, n_samples, ... | |
<filename>BGWpy/BGW/kgrid.py
import os
import subprocess
import numpy as np
from ..core import fortran_str
from ..core import Task
__all__ = ['get_kpt_grid', 'get_kgrid_input', 'get_kpoints', 'get_kqshift',
'get_kpt_grid_nosym', 'KgridTask']
class KgridTask(Task):
def __init__(self,
structure,
ngkpt = 3*[1],
... | |
<filename>ad_fcemu/nes_cpu.py
# -*- coding: utf-8 -*-
import copy
import typing as tp
import config
import log_differ as ld
import nes_file as nf
import nes_game_pad as ngp
import nes_ppu as np
import utils
class Memory(object):
def __init__(self, ppu: np.NesPPU, pad: ngp.GamePad):
self.ram: tp.List[int] = [0] * 0... | |
x[0:6]
y = y[0:6]
ax.plot(x, y, ':', marker='^', markersize=4, markeredgecolor='k', markeredgewidth=0.5, color=colours[idx],
label=r'$\gamma=%d$: $\langle\tau\rangle_{z=N}$' % gammaval, zorder=4)
elif datakey == 'linalgALLZevalExpl' and datakey in TR_curves_to_plot:
if key == 'TR100g':
x = x[0:8]
y = y[0:8]
if ... | |
<gh_stars>0
# Copyright 2019 The Feast Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | |
#!/usr/bin/env python
"""GRR specific AFF4 objects."""
import re
import time
import logging
from grr.lib import access_control
from grr.lib import aff4
from grr.lib import flow
from grr.lib import queue_manager
from grr.lib import rdfvalue
from grr.lib import registry
from grr.lib import utils
from grr.lib.aff4_obj... | |
self.ranges = [[-5, 5], [-5, 5]]
super(Himmelblau, self).__init__()
def _evaluate(self, x):
return (np.power(np.power(x[:, 0], 2) + x[:, 1] - 11, 2) +
np.power(x[:, 0] + np.power(x[:, 1], 2) - 7, 2)).reshape(
-1, 1)
def _derivative(self, x):
raise NoDerivativeError()
class ThreeHumpCamel(TestFunction):
"""
... | |
<reponame>yimingchen95/veidt<gh_stars>10-100
# coding: utf-8
# Copyright (c) Materials Virtual Lab
# Distributed under the terms of the BSD License.
import sklearn.metrics.pairwise as smp
from monty.json import MSONable
from scipy.stats import pearsonr
import scipy.spatial.distance as spd
import numpy as np
__author_... | |
self.MARKERS or chunk.isspace():
self._fail_route() # Tags must start with text, not spaces
data.context = data.CX_NOTE_SPACE
elif chunk.isspace():
self._handle_tag_space(data, chunk)
continue
elif data.context & data.CX_NOTE_SPACE:
if data.context & data.CX_QUOTED:
data.context = data.CX_ATTR_VALUE
self._memo... | |
<reponame>otherJL0/tmuxp
"""Configuration parsing and export for tmuxp.
tmuxp.config
~~~~~~~~~~~~
"""
import logging
import os
from typing import Dict
from . import exc
logger = logging.getLogger(__name__)
def validate_schema(session_config):
"""
Return True if config schema is correct.
Parameters
----------... | |
# This was based on some code from https://github.com/mirumee/saleor
# but adapted to use relay, automatic field detection and some code adjustments
import collections
import collections.abc
import itertools
from django.core.exceptions import (
NON_FIELD_ERRORS,
ImproperlyConfigured,
ValidationError,
)
from django... | |
import demistomock as demisto
from CommonServerPython import *
import json
import requests
import socket
from typing import Dict, Any, List
from netaddr import IPNetwork, IPAddress
# Disable insecure warnings
requests.packages.urllib3.disable_warnings()
'''
Templates for change requests
Change these templates if you... | |
<class 'list'>
len(all_hiddens= 13
all_hiddens[0].shape= torch.Size([16, 63, 768])
all_hiddens[1].shape= torch.Size([16, 63, 768])
all_hiddens[-1].shape= torch.Size([16, 63, 768])
batch_size= 16
len(all_hiddens)= 12
self.opt['num_last_layer_xlmr']= 1
used_layers= [11]
retrieve_reps.shape= torch.Size([51, 768])... | |
quote = F, row.names = F)''' % outfile)
#########################################
#########################################
#########################################
@jobs_limit(1, "R")
@follows(mkdir("enrichment.dir"))
@merge([buildGenusDiffList, buildPyruvateOxidaseAnnotations],
r"enrichment.dir/intersection_pyruv... | |
label_lens = batch['seq_lens'], batch['target_lens']
seq_lens = seq_lens.to(self.device, non_blocking=True)
label_lens = label_lens.to(self.device, non_blocking=True)
target = (target, label_lens)
o = self.model.nn(input, seq_lens)
else:
o = self.model.nn(input)
self.optimizer.zero_grad()
loss = self.loss_fn(se... | |
\b
{
"traintuples": list[{
"algo_key": str,
"data_manager_key": str,
"train_data_sample_keys": list[str],
"traintuple_id": str,
"in_models_ids": list[str],
"tag": str,
"metadata": dict
}],
"composite_traintuples": list[{
"composite_traintuple_id": str,
"algo_key": str,
"data_manager_key": str,
"train_dat... | |
[int(v**meshRefParam) for v in [nCellsOuter, nCellsNose, nCellsSpan]],
[expOuter, expOuter, expOuter, expOuter,
"((0.5 0.5 {}) (0.5 0.5 {}))".format(expNoseOffset, 1/expNoseOffset),
"((0.5 0.5 {}) (0.5 0.5 {}))".format(expNoseOuter, 1/expNoseOuter),
"((0.5 0.5 {}) (0.5 0.5 {}))".format(expNoseOuter, 1/expNoseOuter)... | |
background_color=neutral, foreground_color=styles.textcolor)
config.trackLabelArray.append(label)
self.trackDisplayGrid.add_widget(config.trackLabelArray[-1])
label = CheckBox(size_hint_y=None, size_hint_x=.10, color=[1, 1, 1, 4], height=config.baseheight)
label.background_checkbox_normal="." + os.sep + "resource... | |
<gh_stars>0
import base64
import json
import os
import pickle
import tempfile
import time
from io import BytesIO
from tempfile import NamedTemporaryFile
import cv2
import imageio
import numpy as np
import streamlit as st
import torch
from numpy.lib.type_check import imag
from PIL import Image
# from streamlit_webrtc i... | |
"thePed": """: The ped to check. """,
"headState": """: head state, use true if you want the ped be headless, use false to give back the head. """
},
result='returns true if successful, false otherwise' ,
),
url='setPedHeadless',
),
field=FunctionOOPField(
name='headless',
types=[
FunctionType(
names=['bool'... | |
np.rot90(self.im)
self.update_image()
def on_rotate(self):
self.cursor = Cursor(self.ax, useblit=True, color='red', linewidth=1)
position = self.canvas.get_points()
x = (position[0][0], position[1][0])
y = (position[0][1], position[1][1])
self.im = rotate_image(self.im, x, y)
self.update_image()
def update_i... | |
<gh_stars>0
# Copyright 2016 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | |
%s!=%s",
binascii.hexlify(R9.PROTOCOL_VERSION_BYTES),
binascii.hexlify(protocolconf))
return False
b64payload = retdata[39:-8]
hashconf = self._get_md5_hash(b64payload)
hashorig = retdata[20:39]
if hashconf != hashorig:
_LOGGER.warning("CheckResp md5 %s!=%s", binascii.hexlify(hashorig), binascii.hexlify... | |
# Copyright 2018 University of Groningen
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | |
to encode information on where points are located.
Recall that an ordered pair is of the form $(x,y)$. The first entry on the pair denotes how far from the origin along the x-axis the point is, the second entry denotes how far from the origin along the y-axis the point is.
Let's see a simple example for the ordered... | |
# -*- coding: utf-8 -*-
"""
Created on Sat Jun 06 09:49:33 2015
@author: JMS
"""
import random
from abc import ABCMeta, abstractmethod
import numpy as np
import pandas as pd
from scipy.linalg import orth
from occupancy_map import Map,ZMap
from ptp import LocalArea,PointToPoint,matrixrank, anglebetween
from math impo... | |
<gh_stars>0
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Implemented multiparameter equation of state as a Helmholtz free energy
* IAPWS-95 implementation
* Heavy water formulation 2017
"""
from __future__ import division
from itertools import product
import warnings
from scipy import exp, log, ndarray
from scip... | |
model=model,
obs_shape_n=obs_shape_n,
act_space_n=env.action_space,
agent_index=i,
args=arglist,
local_q_func=(arglist.good_policy=='ddpg')))
# create scenario heuristic group trainer if applicable
if arglist.training_algorithm == 'ScenarioHeuristicGroupTrainer':
group_trainer = ScenarioHeuristicGroupTra... | |
just 1 word.")
@click.option('--stemmed_search', '-stemm', default=False,type=bool, help="Search in lemantisated/stemmed syntagmas. Be careful and don't give different conjugations of one lemma, if current options is True. Because you could get duplicates.")
@click.option('--context_len_left', '-conleft', default=True,... | |
<filename>src/pte_decode/decoding/decoder_factory.py<gh_stars>0
"""Module for machine learning models."""
from dataclasses import dataclass
from typing import Any, Optional, Union
import numpy as np
import pandas as pd
from bayes_opt import BayesianOptimization
from catboost import CatBoostClassifier
from sklearn.dis... | |
<gh_stars>0
from functools import partial
import numpy as np
from keras.models import *
from keras.layers import *
from keras.optimizers import *
from keras import regularizers
from utils import *
from metrics import *
from deform_conv.layers import ConvOffset2D
def Conv(input, num_filters, use_deform=False, activa... | |
<reponame>sirex/htsql
#
# Copyright (c) 2006-2013, Prometheus Research, LLC
#
"""
:mod:`htsql.core.tr.bind`
=========================
This module implements the binding process.
"""
from ..util import maybe, listof, tupleof, similar
from ..adapter import Adapter, Protocol, adapt, adapt_many
from ..domain import (D... | |
in block.body:
# Ignore things that look like docstrings
if (isinstance(stmt, ExpressionStmt) and
isinstance(stmt.expr, StrExpr)):
continue
# Constructor is named after class
if isinstance(stmt, FuncDef):
if stmt.name() == '__init__':
self.decl_write_ind('%s(', o.name)
self._WriteFuncParams(stmt.type.arg_typ... | |
def create_user(self, body, **kwargs): # noqa: E501
"""Create a new user. # noqa: E501
An endpoint for creating or inviting a new user to the account. In case of invitation email address is used only, other attributes are set in the 2nd step. **Example usage:** `curl -X POST https://api.us-east-1.mbedcloud.com/v3/us... | |
import os
import tempfile
import pandas as pd
import csv
from nidm.experiment.Query import GetProjectsUUID
import click
from nidm.experiment.tools.click_base import cli
from nidm.experiment.tools.rest import RestParser
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import silhouette_score
from ... | |
<reponame>will-jj/arim
import warnings
import numpy as np
import pytest
import arim
from arim import ut, scat, _scat_crack
import tests.helpers
def test_scattering_angles_grid():
n = 10
theta = scat.make_angles(n)
inc_theta, out_theta = scat.make_angles_grid(n)
for i in range(n):
for j in range(n):
assert inc... | |
from data import COCODetection, get_label_map, MEANS, COLORS
from yolact import Yolact
from utils.augmentations import BaseTransform, FastBaseTransform, Resize
from utils.functions import MovingAverage, ProgressBar
from layers.box_utils import jaccard, center_size, mask_iou
from utils import timer
from utils.functions ... | |
0, 0, 0, 0],
[958, 66.7, 0, 9999, -9999, 1.0, 100, 1, 66.7, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[959, 45.5, 0, 9999, -9999, 1.0, 100, 1, 45.5, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[960, 26.5, 0, 9999, -9999, 1.0, 100, 1, 26.5, 0.0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[963, 467.... | |
is None:
reward_macro = self.reward
else:
reward_macro += self.reward
return self.obs, reward_macro, self.reward_bounty_raw_to_return, self.done, self.info
def one_step(self):
'''as a environment, it has step method.
But the step method step forward for args.hierarchy_interval times,
as a macro action, this m... | |
<gh_stars>10-100
# -*- coding: UTF-8 -*-
"""A class for converting ASCII inputs to JSON."""
import csv
import os
import re
from collections import Counter, OrderedDict
from decimal import Decimal
from itertools import chain, product
import inflect
import numpy as np
from astrocats.catalog.catalog import Catalog
from a... | |
# -*- coding: utf-8 -*-
# Copyright 2015 <NAME>. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file ... | |
<filename>miri/datamodels/miri_spectral_spatial_resolution_model.py
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""
An extension to the standard STScI data model, which defines the MIRI
spectral and spatial resolution models.
:Reference:
The STScI jwst_lib documentation. See
https://jwst-pipeline.readthedocs.io/en... | |
shuffle
self.to_fit = to_fit
self.stack_feats = stack_feats
self.indices = None
self.on_epoch_end()
def __len__(self):
return int(np.floor(len(self.data[0]) / self.batch_size))
def on_epoch_end(self):
self.indices = np.arange(len(self.data[0]))
if self.shuffle:
np.random.shuffle(self.indices)
def __getite... | |
1:
if ftype == TType.STRUCT:
self.er = ExperimentRunEvent()
self.er.read(iprot)
else:
iprot.skip(ftype)
else:
iprot.skip(ftype)
iprot.readFieldEnd()
iprot.readStructEnd()
def write(self, oprot):
if oprot._fast_encode is not None and self.thrift_spec is not None:
oprot.trans.write(oprot._fast_encode(self, (... | |
<reponame>znes/angus-scenarios
import os
import pandas as pd
from cydets.algorithm import detect_cycles
## import numpy as np
# import plotly.io as pio
import plotly.offline as offline
import matplotlib.pyplot as plt
from matplotlib import colors
import seaborn as sns
from documentation.plotly_plots import (
fillin... | |
<filename>evaluate_models.py
import argparse
import tensorflow as tf
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve
from pathlib import Path
from joblib import load
from baselines.dagmm.dagmm import DAGMM
from baselines.devnet.devnet_kdd19 import predict_... | |
<gh_stars>0
"""
MIT License
Copyright (c) 2020 <NAME> - dominik.kopczynski {at} isas.de
<NAME> - nils.hoffmann {at} isas.de
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, i... | |
b"A"),
(b"16", 16, 132255, 0x0002049f, 0x08b80000, 0x8001024f88b80000, b"8001024f88b80000", b"C", b"T"),
(b"16", 16, 132256, 0x000204a0, 0x08c00000, 0x8001025008c00000, b"8001025008c00000", b"G", b"A"),
(b"16", 16, 132328, 0x000204e8, 0x08b80000, 0x8001027408b80000, b"8001027408b80000", b"C", b"T"),
(b"16", 16, 132... | |
0.1840, 0.4687, 0.0446, 0.5272, 0.2382, -0.1124],
[-0.1656, -0.0105, 0.1899, 0.0590, 0.2222, 0.0170, -0.2002],
[-0.1969, -0.1753, -0.0796, -0.1840, -0.0689, -0.1621, -0.2494]],
[[-0.1602, -0.1039, -0.0176, -0.0856, 0.0039, -0.0726, -0.1536],
[-0.0923, 0.0348, 0.2366, 0.1703, 0.2698, 0.0873, -0.0800],
[-0.0294, 0.... | |
sizePolicy.setVerticalStretch(0)
sizePolicy.setHeightForWidth(self.clas_svm_C_horizontalSlider_16.sizePolicy().hasHeightForWidth())
self.clas_svm_C_horizontalSlider_16.setSizePolicy(sizePolicy)
self.clas_svm_C_horizontalSlider_16.setMaximumSize(QtCore.QSize(16777215, 16777215))
self.clas_svm_C_horizontalSlider_16.s... | |
<reponame>shivharis/pybind<filename>pybind/slxos/v16r_1_00b/igmp_snooping_state/igmp_l3_interfaces/igmp_l3_interfaces_/__init__.py
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from ... | |
except exception.EntityNotFound:
LOG.debug("instance is not exist, no need to delete!",
instance=instance)
return
if provider_server:
try:
self.os_novaclient(context).delete(provider_server)
self.os_novaclient(context).check_delete_server_complete(
provider_server)
except exception.ResourceInError:
import ti... | |
' / ' + \
# var_prefix + 'DATA' + str(idx) + '_FC_SIMD_FACTOR;\n')
code.append(indent(1) + 'data1_buf_size = LAYER_IN_NUM_T * LAYER_ROW_IL_FACTOR * LAYER_FILTER_S * LAYER_FILTER_S / %sDATA%d_FC_SIMD_FACTOR;\n' % (var_prefix, idx))
code.append(indent(1) + 'local_transfer_size = data' + str(idx) + '_buf_size * (' + st... | |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2011 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | |
#!/usr/bin/env python
#-*-coding:utf8-*-
#this script is aimed to aggregate SNPs into haplotype blocks to get BAF matrices within each cell.
#Author: <NAME>
# TODO: output region file to out_dir
import os
import sys
import getopt
import gzip
from ..utils.base import assert_e, assert_n, log
from ..utils.region import... | |
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | |
Affairs, including -relations and communications with overseas governments and United Nations agencies;treaties, including trade agreements; bilateral, regional and multilateral trade policy; international trade and commodity negotiations; market development, including market access; trade and international business de... | |
<filename>meerk40t/balor/sender.py
# Balor Galvo Laser Control Module
# Copyright (C) 2021-2022 Gnostic Instruments, Inc.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of th... | |
<reponame>albertvisser/filefindr
"""Gui-toolkit onafhankelijke code t.b.v. Afrift applicaties
opgezet als classes die de toolkit-dependent code aanroepen als methodes op een attribuut ervan
ze worden geïmporteerd via een aparte module die bepaalt welke toolkit er gebruikt wordt
"""
import os
import collections
import... | |
1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
1.0, 1.0, 1.0, 1.0, 1.0, 1.0]),
)
### IDL colormap 20 :: ... | |
import gc
import os
import platform
import tempfile
import time
import sys
import functools
import pytest
from testing.testifycompat import (
assert_equal,
assert_raises,
mock,
)
from staticconf import (
config,
errors,
proxy,
schema,
testing,
validation,
)
import staticconf
class TestRemoveByKeys(object):... | |
######################################################################################################################
# Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License Version 2.0 (the "License"). You may not use this file except in compliance #
# w... | |
import argparse
import random
import numpy as np
import torch
import spacy
import scispacy
import json
import os
import logging
import pandas as pd
import sys
from tqdm import tqdm
from datasets import Dataset
from functools import partial
from dataclasses import dataclass, field
from custom_trainer import CustomTrain... | |
font-size: 32px !important;
line-height: 32px !important;
}
}
/* ANDROID CENTER FIX */
div[style*="margin: 16px 0;"] { margin: 0 !important; }
</style>
</head>
<body style="background-color: #f4f4f4; margin: 0 !important; padding: 0 !important;">
<!-- HIDDEN PREHEADER TEXT -->
<div style="display: none; font-siz... | |
"""JASMIN Cloud
JASMIN Cloud Provider Interface package - module for handling networking
functionality
"""
__author__ = "<NAME>"
__date__ = "24/03/14"
__copyright__ = "(C) 2014 Science and Technology Facilities Council"
__license__ = "BSD - see LICENSE file in top-level directory"
__revision__ = "$Id$"
from os import... | |
'json')
path_params = {}
if 'conversation_id' in params:
path_params['conversationId'] = params['conversation_id']
if 'message_id' in params:
path_params['messageId'] = params['message_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accep... | |
the key associated
with an application. See :meth:`change_key` for details."""
#: the maximum age of a key, which is the number of times the key
#: can be changed before the original key is considered too old to
#: be used for decryption.
MAX_AGE = 100
def __init__(self, key_num, key, key_set, when=None):
self... | |
object follow the student progression
"""
ability = models.CharField(
max_length=255,
verbose_name=_("Ability"),
help_text=_("A label that indicates the abilities validated by the learner."),
blank=False,
null=False
)
language = models.CharField(
max_length=20,
choices=get_translated_languages(),
verbose_na... | |
+ str(e)
# prop = p_qdata_from_Q(round_count, q_num, author, Q, filename)
# size, block_num, _, _, _, num_lines = Q
# # 既存のエンティティを取り出す
# query = query_q_data(round_count=round_count, q_num=q_num, author=author)
# num = 0
# for ent in query.fetch(): # 存在するなら、高々、1個
# ent.update(prop)
# client.put(ent)
# num += 1
# if n... | |
[ \
[[0, 0], [0, 1], [0, 2], [0, 3], [0, 4]], \
[[0, 0], [0, 1], [0, 2], [1, 2], [1, 3]], \
[[0, 0], [0, 1], [1, 1], [1, 2], [1, 3], [2, 3]], \
[[0, 0], [0, 1], [1, 1], [1, 2], [2, 2], [2, 3]], \
[[0, 0], [1, 1], [2, 2]], \
[[0, 0], [1, 0], [1, 1], [2, 1], [2, 2], [3, 2]], \
[[0, 0], [1, 0], [1, 1], [2, 1], [3, ... | |
<gh_stars>0
__author__ = '<NAME>'
"""
Intended for processing of 80s monosome-seq data from defined RNA pools
Based on <NAME>'s original RBNS pipeline, available on github
"""
import matplotlib.pyplot as plt
plt.rcParams['pdf.fonttype'] = 42 #leaves most text as actual text in PDFs, not outlines
import os
import argpar... | |
0),
(1, ints[1], None),
(2, None, 2),
(3, None, None),
]
self.cursor.executemany("insert into t1(a, b, c) values (?,?,?)",
params)
self.cursor.execute("select a, b, c from t1 order by a")
rows = self.cursor.fetchdictarray()
# row 0
self.assertEqual(rows['b'][0], ints[0])
self.assertEqual(rows['c'][0], 0)
... | |
<filename>tests/test_stability.py
import pytest
import attr
import numpy as np
from thermo import Chemical
from pytest_lazyfixture import lazy_fixture
from gibbs.models.ceos import PengRobinson78, SoaveRedlichKwong
from gibbs.minimization import PygmoSelfAdaptiveDESettings
from gibbs.mixture import Mixture
from gibbs.... | |
keys are factor column names (
i.e. "paper"/"section"/"paragraph") and whose values are counts of
unique factor instances (e.g. total number of papers/sections/
paragraphs in the dataset)
"""
result_data, counts = prepare_occurrence_data(data)
result_data = result_data.reset_index()
result_data["paper_frequency... | |
try:
# Has to be a number, has to be negative
assert -float(arg) > 0
except (ValueError, AssertionError):
newargs.append(arg)
continue
newargs.append(" " + arg)
return newargs
def interpret_bintime(bintime):
"""If bin time is negative, interpret as power of two.
Examples
--------
>>> interpret_bintime(2... | |
Zebra
🦌 Deer
🐮 Cow Face
🐂 Ox
🐃 Water Buffalo
🐄 Cow
🐷 Pig Face
🐖 Pig
🐗 Boar
🐽 Pig Nose
🐏 Ram
🐑 Ewe
🐐 Goat
🐪 Camel
🐫 Two-Hump Camel
🦙 Llama
🦒 Giraffe
🐘 Elephant
🦏 Rhinoceros
🦛 Hippopotamus
🐭 Mouse Face
🐁 Mouse
🐀 Rat
🐹 Hamster Face
🐰 Rabbit Face
🐇 Rabbit
🐿️ Chipmunk
🦔 Hedgehog
🦇 Bat
🐻 Bear Fac... | |
<filename>final_code/packages/cct.py
"""
CCT 建模优化代码
CCT
作者：赵润晓
日期：2021年5月1日
"""
import multiprocessing # since v0.1.1 多线程计算
import time # since v0.1.1 统计计算时长
from typing import Callable, Dict, Generic, Iterable, List, NoReturn, Optional, Tuple, TypeVar, Union
import matplotlib.pyplot as plt
import math
import random ... | |
7 required positional arguments: 'd', 'e', 'f', 'g', 'h', 'i', and 'j'", lambda:f(1, 2, 3))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(dummy=2))
self.assertRaisesMessage(TypeError, "f() got an unexpected keyword argument 'dummy'", lambda:f(1, dummy=2))
def f(a, b=... | |
<reponame>pllim/halotools
"""
This module contains the `NFWProfile` class,
which is used to model the spatial distribution of mass and/or galaxies
inside dark matter halos according to the fitting function introduced in
Navarry, Frenk and White (1995), `arXiv:9508025 <http://arxiv.org/abs/astro-ph/9508025/>`_.
a sub-cl... | |
# Copyright (c) Microsoft Corporation. All rights reserved.
import numpy as np
import pandas as pd
import copy
"""
This file contains miscellaneous helper classes and functions for the data-assertion routines
"""
# ---------------------------------------------------------------
# Class _AssertionType
# ... | |
For each node, return the nsi clustering coefficient with respect to
the out motif.
If a link attribute key is specified, return the associated link
weighted version
Reference: [Zemp2014]_
**Examples:**
>>> net = Network.SmallDirectedTestNetwork()
>>> r(net.nsi_local_outmotif_clustering())
Calculating local... | |
local and
arg.get_local_parent(node.children[0], pos-.5) == node and
node.children[1] in local and
arg.get_local_parent(node.children[1], pos-.5) == node and
node.children[0] != node.children[1])
def walk_up(arg, leaves, time, pos, ignore=None):
order = dict((node, i) for i, node in enumerate(
arg.postorder_ma... |
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