input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
labels for each record in fasta file found in test_dir
using the vowpal-wabbit model. Note that there must be a label file of the
same basename with matching ids for each of the fasta lines.
test_dir (string): must be a path to a directory with a single fasta
and label file
model_dir (string): must be a path to ... | |
<gh_stars>10-100
import asyncio
import discord
import os
import time
from discord.ext import commands
from discord.ext.commands import BucketType
from humanfriendly import format_timespan as timeez
from data import dbconn
from utils import challonge_api, paginator, discord_, tournament_helper
from constants import BO... | |
# -----------------------------------------------------------------------------
#
# Copyright 2013-2019 lispers.net - <NAME> <<EMAIL>>
#
# 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
#
# h... | |
# Copyright (C) 2016 Nippon Telegraph and Telephone Corporation.
#
# 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 applicab... | |
normal target encoding when given test data.
Parameters
----------
X : pandas DataFrame of shape (n_samples, n_columns)
Independent variable matrix with columns to encode
Returns
-------
pandas DataFrame
Input DataFrame with transformed columns
"""
# Use target encoding from fit() if this is test data
if ... | |
unknowns, parallel_verbosity)
if report_level >= 1:
print('\nSummaries for empirical parameter distributions\n-----------------------------------------------')
print(pandas.DataFrame(repeated_estimates).describe().T)
if report_level >= 2:
_runtimes_min = [result[1]['runtime_min'] for result in results]
pr... | |
"""
This module contains methods used our implementation of the Asynchronously
Parallel Optimization Solver for finding Multiple Minima (APOSMM) method
described in detail in the paper
`https://doi.org/10.1007/s12532-017-0131-4 <https://doi.org/10.1007/s12532-017-0131-4>`_
"""
from __future__ import division
from __fut... | |
grep "
"openpyxl'. If that is the case, fix with 'pip install openpyxl==2.4.8'")
raise e
data = save_virtual_workbook(xl)
r = Response(data,
mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
status=200)
return r
@app.route(nis_api_base + "/isession/regenerate_xlsx", methods=["POS... | |
<filename>dev/Tools/build/waf-1.7.13/lmbrwaflib/packaging.py
#
# All or portions of this file Copyright (c) Amazon.com, Inc. or its affiliates or
# its licensors.
#
# For complete copyright and license terms please see the LICENSE at the root of this
# distribution (the "License"). All use of this software is governed ... | |
to
:return: Keycloak server response
"""
params_path = {"realm-name": self.realm_name, "id": user_id, "group-id": group_id}
data_raw = self.raw_put(
urls_patterns.URL_ADMIN_USER_GROUP.format(**params_path), data=None
)
return raise_error_from_response(data_raw, KeycloakPutError, expected_codes=[204])
def grou... | |
numpy.arange(N + 1, dtype=float) + 0.5
index = index2[0:-1]
K1 = special.kv(index2, kappa * r1)
K1p = index / (kappa * r1) * K1[0:-1] - K1[1:]
k1 = special.kv(index, kappa * r1) * numpy.sqrt(pi / (2 * kappa * r1))
k1p = -numpy.sqrt(pi / 2) * 1 / (2 * (kappa * r1)**(3 / 2.)) * special.kv(
index, kappa * r1) + num... | |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 28 16:11:52 2018
Functions for LARFP_lumen_segmentation_CGV.py
@author: clauvasq
"""
# import packages
import numpy as np
import matplotlib.pyplot as plt
import skimage.io as io
io.use_plugin('tifffile')
from skimage.filters import threshold_otsu
fr... | |
"""
@author sanjeethr, oligoglot
Implements SGDClassifier using FeatureUnions for Sentiment Classification of text
It also has code to experiment with hyper tuning parameters of the classifier
"""
from __future__ import print_function
import numpy as np
import pickle
import json
from pprint import pprint
from time im... | |
<reponame>t-kimber/kinoml<filename>kinoml/modeling/OEModeling.py
import logging
from typing import List, Set, Union, Iterable
from openeye import oechem, oegrid, oespruce, oequacpac, oeomega, oeshape
import pandas as pd
def read_smiles(smiles: str) -> oechem.OEGraphMol:
"""
Read molecule from a smiles str... | |
# pylint:disable=too-many-lines
import copy
import ipaddress
import struct
import sortedcontainers
import thrift.protocol.TBinaryProtocol
import thrift.transport.TTransport
import common.ttypes
import constants
import encoding.ttypes
import encoding.constants
import key
import utils
RIFT_MAGIC = 0xA1F7
class Packe... | |
<filename>melina.py
#!/usr/bin/env python
import os
import sys
import shlex
import argparse
import enum
import re
import io
import lxml.etree as ET
import decimal
__version__ = '0.1'
'''
Mo
name
children
fields (Struct, Enum, Scalar)
Field
name
cardinality
type
Struct
name
fields (...)
Enum
name
enumerator... | |
<reponame>brianrodri/google_appengine
#!/usr/bin/env python
#
# Copyright 2007 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
#
# U... | |
If no label information
is available, this will only be the style part of the code.
"""
length = len(data)
code = np.ndarray((length, self.code_dim))
offset = 0
batches = self._np_batcher(data, batch_size=batch_size)
code_batches = \
self._tf_encode_batches(batches, tf_encoded=self._tf_encoded_style)
for batc... | |
# -*- coding: utf-8 -*-
"""
This file contains MLTools class and all developed methods.
"""
# Python2 support
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import pickle
class MLTools(object)... | |
("bn", "Bengali"),
("br", "Breton"),
("bs", "Bosnian"),
("ca", "Catalan"),
("cs", "Czech"),
("cy", "Welsh"),
("da", "Danish"),
("de", "German"),
("dsb", "Lower Sorbian"),
("el", "Greek"),
("en", "English"),
("en-au", "Australian English"),
("en-gb", "British English"),
("eo", "Esperanto"),
("es", "Spanish... | |
<reponame>Roboy/LSM_SpiNNaker_MyoArm
from pacman import exceptions
from pacman.model.resources.resource_container import ResourceContainer
from pacman.model.resources.dtcm_resource import DTCMResource
from pacman.model.resources.sdram_resource import SDRAMResource
from pacman.utilities import utility_calls
from pacman.... | |
limit(optional): maximum number of entries to return
# component(optional): only report promotions for this component
commit_hash = request.args.get('commit_hash', None)
distro_hash = request.args.get('distro_hash', None)
extended_hash = request.args.get('extended_hash', None)
agg_hash = request.args.get('aggregat... | |
<gh_stars>1-10
#! /usr/bin/env python
# -*- coding: iso-8859-1 -*-
from downloadCommon import DownloadCommon, getSeqName
from DdlCommonInterface import DdlCommonInterface
import re
class OracleDownloader(DownloadCommon):
def __init__(self):
self.strDbms = 'oracle'
def connect(self, info):
try:
import cx_Oracle... | |
APK's label according to a labeling scheme
targetLabel = -1
targetKey = targetAPK[targetAPK.rfind("/")+1:].replace("_data", "")
if os.path.exists("%s/%s.report" % (VT_REPORTS_DIR, targetKey)):
report = eval(open("%s/%s.report" % (VT_REPORTS_DIR, targetKey)).read())
prettyPrint("VirusTotal report \"%s.report\" foun... | |
"""Provides algorithms with access to most of garage's features."""
import copy
import os
import time
import cloudpickle
from dowel import logger, tabular
# This is avoiding a circular import
from garage.experiment.deterministic import get_seed, set_seed
from garage.experiment.experiment import dump_json
from garage.... | |
<reponame>def670/lfd
import math
import numpy
import random
import operator
import types
import numpy as np
import h5py
import IPython as ipy
import os
import time
import argparse
from lfd.mmqe import colorize
def redprint(msg):
print colorize.colorize(msg, "red", bold=True)
def yellowprint(msg):
print colorize.c... | |
= (
TautomerScore('benzoquinone', '[#6]1([#6]=[#6][#6]([#6]=[#6]1)=,:[N,S,O])=,:[N,S,O]', 25),
TautomerScore('oxim', '[#6]=[N][OH]', 4),
TautomerScore('C=O', '[#6]=,:[#8]', 2),
TautomerScore('N=O', '[#7]=,:[#8]', 2),
TautomerScore('P=O', '[#15]=,:[#8]', 2),
TautomerScore('C=hetero', '[#6]=[!#1;!#6]', 1),
Tautome... | |
from sdf_timing import sdfparse, sdfwrite
from sdf_timing import utils as sdfutils
from pathlib import Path
import argparse
import re
import json
from datetime import date
from collections import defaultdict
from .liberty_to_json import LibertyToJSONParser
from . import log_printer
from .log_printer import log
class ... | |
#!/usr/bin/env python2
# -*- coding: utf-8 -*- #
import re
import random
import requests
import inflect
from twitterbot import TwitterBot
inflector = inflect.engine()
class DeepAnswerBot(TwitterBot):
unrecognised_tweet = "@gelatindesign I could not understand this question :("
no_concepts_tweet = "@gelatindesign I... | |
- TODO: What format?
@hide_tree hides the tree
@exclude_those_with_too_many_nans_in_y_clustering removes elements with more than 25% nans from deciding the order in the y-clustering
It's using ggplot and ggdendro... in the end, this code breads insanity"""
column_number = len(set(data.get_column_view('condition'))... | |
to SLC35E2B ...
if ( curID == "728661" ):
print " --> changing gene from <%s> to SLC35E2B " % curGene
curGene = "SLC35E2B"
elif (nameChangeFlag == "YES"):
if (newGene != curGene):
# do NOT change to this "new" name if this name seems to
# already be in use ...
if ((newGene in curGeneSymbols) or (newGene in use... | |
i*block_size),(top_left_x+play_width + add, top_left_y+ i * block_size))
for j in range(len(grid_2[i])):
pygame.draw.line(surface, (128, 128, 128), (top_left_x + add + j*block_size, top_left_y),(top_left_x + add + j*block_size, top_left_y + play_height))
def clear_rows(grid, locked_pos):
# delete rows part
... | |
<reponame>mkulariya1/tefla
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
import math
import tensorflow as tf
from collections import namedtuple
from .layers import batch_norm_tf as batch_norm
NamedOutputs = namedtuple('NamedOutputs'... | |
<reponame>schelleg/rfsoc_sam<gh_stars>10-100
__author__ = "<NAME>"
__organisation__ = "The Univeristy of Strathclyde"
__support__ = "https://github.com/strath-sdr/rfsoc_sam"
import ipywidgets as ipw
import numpy as np
import plotly.graph_objs as go
import warnings
import matplotlib.pyplot as plt
from PIL import Image
... | |
<filename>cf_perfeval/library.py
from cf_perfeval.helpers import flatten
# Prepare curve data
def perfeval_prepare_curve_data(input_dict): # , subtype
# import math
nPoints = 4
performance = flatten(input_dict['predictions']) # chartdata
subtype = input_dict['subtype']
kenmax = 0.5
ratemax = 0.5
for curve in pe... | |
<gh_stars>0
''' konsentrasi.py
Diberikan daftar mata kuliah yang diambil oleh seorang
mahasiswa, tentukan apa konsentrasinya. Khusus untuk mahasiswa
Program Studi TIF (064*).
<NAME> (<EMAIL>)
20141227
* 20141227
* Mulai dengan mengumpulkan daftar mata kuliah untuk setiap
* konsentrasi: RPL, KI, dan GK... | |
<reponame>dklopfenstein/biocode
"""Selected UniProt data saved in Python."""
# Copyright (C) 2014-2019 <NAME>. All rights reserved
#
# ADAPTED TO PYTHON from the UniProt file:
# ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/complete
DOWNLOADED = "2019_03_07" # UniProt source files were down... | |
a = tf.ones((xshape[1], 1), tf.float32)
b = tf.zeros((xshape[1], 1), tf.float32)
if (y == 2):
c = tf.reshape(tf.stack([a, b], axis=1), [1, newshape])
elif (y == 4):
c = tf.reshape(tf.stack([b, a, b, b], axis=1), [1, newshape])
d = tf.transpose(c, [1, 0])
# Create a [newshape, newshape] matrix by taking the matr... | |
raise aXeSIMError(msg)
# test conversion to float
try:
tmp = float(depen_data[index])
except ValueError:
msg = ("\nValue: {0:s} is not convertible to float!"
.format(str(depen_data[index])))
raise aXeSIMError(msg)
# check for ascending order
if index > 0:
# check that independent data is rising
if indep_da... | |
expires after 24 hours.
:type logGroupName: string
:param logGroupName: **[REQUIRED]**
The name of the log group to search.
:type logStreamNames: list
:param logStreamNames:
Filters the results to only logs from the log streams in this list.
If you specify a value for both ``logStreamNamePrefix`` and ``logStream... | |
p_group:
p.p_def.write_new_test_instance(
w, f'{p.name}:', instances=2 if p.repeatable else 1, end=',')
def write_round_trip_test(self, w: GoWriter):
self.write_new_test_instance(w, f'{self.short} :=')
w.write(f'b, err := {self.short}.MarshalBinary()')
with w.condition('err != nil'):
w.write('t.Fatalf("%+v", e... | |
# Constructs the test
@wraps(test_fn)
def instantiated_test(self, name=name, test=test_fn, dtype=dtype, op=op):
device_arg: str = cls.get_primary_device()
if hasattr(test_fn, 'num_required_devices'):
device_arg = cls.get_all_devices()
# Sets precision and runs test
# Note: precision is reset after the test is r... | |
only. PEM-encoded certificate of the CA that signed the source database server's certificate.
"""
return pulumi.get(self, "ca_certificate")
@property
@pulumi.getter(name="caCertificateSet")
def ca_certificate_set(self) -> bool:
"""
Indicates whether the ca_certificate field is set.
"""
return pulumi.get(self,... | |
<filename>src/pydap/handlers/dap.py
"""A handler for remote datasets.
DAP handlers convert from different data formats (NetCDF, eg) to the internal
pydap model. The pydap client is just a handler that converts from a remote
dataset to the internal model.
"""
import io
import gzip
import sys
import pprint
import copy... | |
np.argsort(cat['MAG_AUTO'][use])
if verbose:
print('# {0:6s} {1:12s} {2:12s} {3:7s} {4} {5}'.format('id', 'ra',
'dec', 'mag',
'nDQ', 'nSat'))
for line in cat[use][so]:
rd = line['X_WORLD'], line['Y_WORLD']
nset = []
nsat = []
for i in range(N):
xi, yi = wcs[i].all_world2pix([rd[0],], [rd[1],], 0)
r = n... | |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import statsmodels.api as sm
import datetime as dt
from statsmodels.stats.multitest import fdrcorrection
from pylab import savefig
# FUNCTIONS YOU CAN USE:
# analyses(filepath) spits out a nifty heatmap to let you check corr... | |
<reponame>antmicro/pyvidctrl
import curses
import string
from fcntl import ioctl
from v4l2 import *
from .widgets import *
KEY_ESCAPE = "\x1b"
class CtrlWidget(Row):
"""
Base control widget class
Each CtrlWidget is a label with a name of
its control and another label with text
'Not implemented!'. Child CtrlWi... | |
<filename>stentseg/stentdirect/tests/test_stentgraph.py<gh_stars>1-10
from __future__ import print_function, division, absolute_import
import numpy as np
import networkx as nx
from visvis import ssdf
from stentseg.utils.new_pointset import PointSet
from stentseg.stentdirect.stentgraph import (StentGraph, check_path_i... | |
<filename>Lib/site-packages/filebrowser/views.py
# coding: utf-8
# general imports
import os, re
from time import gmtime, strftime
# django imports
from django.shortcuts import render_to_response, HttpResponse
from django.template import RequestContext as Context
from django.http import HttpResponseRedirect
from djan... | |
= contcar_dict['len_vec_b']
len_c_contcar = contcar_dict['len_vec_c']
angle_alpha_degree_poscar = poscar_dict['angle_alpha_degree']
angle_beta_degree_poscar = poscar_dict['angle_beta_degree']
angle_gamma_degree_poscar = poscar_dict['angle_gamma_degree']
angle_alpha_degree_contcar = contcar_dict['angle_alpha_degre... | |
import datetime
from sklearn.metrics import mean_squared_error, mean_absolute_error, f1_score
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from .dataset import DataSet
from .metergroup import MeterGroup
from .disaggregate import (
CombinatorialOptimisation,
Mean,
FHMM,
Zero,
DAE,
Seq2Poi... | |
<filename>tools/RNN/rnn_compiler/lstm_compiler/parser.py<gh_stars>1-10
#
# Copyright 2019 Xilinx 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/LICE... | |
VelocityBodyYawspeed object
return \
(self.forward_m_s == to_compare.forward_m_s) and \
(self.right_m_s == to_compare.right_m_s) and \
(self.down_m_s == to_compare.down_m_s) and \
(self.yawspeed_deg_s == to_compare.yawspeed_deg_s)
except AttributeError:
return False
def __str__(self):
""" VelocityBodyYawspee... | |
BotInfo entity exists and has Machine Provider-related fields.
Args:
machine_lease: MachineLease instance.
"""
if machine_lease.bot_id == machine_lease.hostname:
return
bot_info = bot_management.get_info_key(machine_lease.hostname).get()
if not (
bot_info
and bot_info.lease_id
and bot_info.lease_expiration_t... | |
'physical-router']:
return True
kvps = self.bindings.get('key_value_pair') or []
kvp_dict = dict((kvp['key'], kvp['value']) for kvp in kvps)
vnic_type = kvp_dict.get('vnic_type') or ''
if vnic_type == 'baremetal':
return True
return False
# end
def is_last_vpg_vmi(self):
if self.virtual_port_group:
vpg_obj ... | |
Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 0.299797,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime ... | |
"""Tests for the REST API."""
import asyncio
import json
import re
import sys
import uuid
from datetime import datetime
from datetime import timedelta
from unittest import mock
from urllib.parse import quote
from urllib.parse import urlparse
from pytest import fixture
from pytest import mark
from tornado.httputil impo... | |
<reponame>pyspace/pyspace
""" Select only a part of the instances
.. todo: group instance selectors
"""
import random
import logging
from collections import defaultdict
from pySPACE.missions.nodes.base_node import BaseNode
from pySPACE.tools.memoize_generator import MemoizeGenerator
class InstanceSelectionNode(Bas... | |
+ m.x1094 + m.x1124 + m.x1164 + m.x1176 + m.x1186 + m.x1200 + m.x1226
+ m.x1234 <= 244)
m.c33 = Constraint(expr= m.x89 + m.x97 + m.x113 + m.x120 + m.x129 + m.x141 + m.x160 + m.x176 + m.x183 + m.x191
+ m.x201 + m.x208 + m.x215 + m.x223 + m.x230 + m.x242 + m.x252 + m.x259 + m.x283 + m.x290
+ m.x302 + m.x310 + m.x320 ... | |
<gh_stars>10-100
import unittest
from distutils.version import LooseVersion
import owslib
import pyramid.testing
import pytest
from tests import resources
from tests.utils import (
get_test_weaver_app,
mocked_remote_server_requests_wps1,
setup_config_with_mongodb,
setup_mongodb_jobstore,
setup_mongodb_processsto... | |
var_list[7].name = 'temperature_centidegree'
var_list[8].name = 'pressure_mbar'
var_list[0].data = np.array([])
var_list[1].data = np.array([])
var_list[2].data = np.array([])
var_list[3].data = np.array([])
var_list[4].data = np.array([])
var_list[5].data = np.array([])
var_list[6].data = np.array([])
... | |
<reponame>riverlane/deltalanguage<filename>deltalanguage/wiring/_decorators.py
"""User facing decorators for building DeltaGraph nodes."""
from __future__ import annotations
from functools import wraps
import logging
from typing import (TYPE_CHECKING,
Callable,
List,
Optional,
Tuple,
Type)
from ._delta_graph imp... | |
with this
value cannot be used with Inbound Replication into an MySQL Database
Service instance with High Availability. Mutually exclusive with the
ignore_missing_pks value.
force_innodb - The MySQL Database Service requires use of the InnoDB
storage engine. This option will modify the ENGINE= clause of CREATE
T... | |
# generated by update to not change manually
import dataclasses as dt
import typing as t
from enum import Enum, Flag
from bungieapi.json import to_json
@dt.dataclass(frozen=True)
class GroupUserInfoCard:
last_seen_display_name: str = dt.field(
metadata={
"description": "This will be the display name the clan serv... | |
# roc should be: batch x multi_v x X x Y
roc = weighted_multi_smooth_v[:, :, n, ...]
yc = torch.sum(roc * t_weights, dim=1)
elif kernel_weighting_type == 'w_K':
# roc should be: batch x multi_v x X x Y
roc = torch.transpose(multi_smooth_v[:, :, n, ...], 0, 1)
yc = torch.sum(roc * t_weights, dim=1)
else:
raise V... | |
att_rp4_status,
create_rp2_resp, att_rp2_status,
create_rp4_resp, att_rp4_status,
deploy_rp1_rp3_resp, deploy_rp4_rp7_resp,
att_rp2_status, att_rp4_status,
]
if ('test_dcnm_srp_merged_update_existing_unauth_err' == self._testMethodName):
have_rp2_resp = self.payloads_data.get('have_rp2_resp')
have_rp4_resp = ... | |
= self.CreateBucket()
obj_uri = self.CreateObject(bucket_uri=bucket_uri, contents=b'foo')
# Use @Retry as hedge against bucket listing eventual consistency.
@Retry(AssertionError, tries=3, timeout_secs=1)
def _Check1():
stdout = self.RunGsUtil(
['-o', option, 'ls', suri(bucket_uri)], return_stdout=True)
self.ass... | |
<filename>modin/pandas/test/test_dataframe.py
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pytest
import io
import numpy as np
import pandas
import pandas.util.testing as tm
from pandas.tests.frame.common import TestData
import matplotlib
import mo... | |
pady=7, sticky='we')
row += 1
f = Tkinter.Frame(parent)
f.grid(column=0, row=row, sticky='ew')
row += 1
l = Tkinter.Label(f, text='To cite Segger or learn more about it press the Help button', fg="blue")
l.grid(column=0, row=0, sticky='w')
dummyFrame = Tkinter.Frame(parent, relief='groove', borderwidth=1)
... | |
list(padding[1]), list(padding[2])])
else:
x = _padding(x, padding[0], 2)
x = _padding(x, padding[1], 3)
x = _padding(x, padding[2], 4)
else:
if num_dynamic_axis > 0:
assert len(base_shape) == 4
if hasattr(C, 'pad'):
x = C.pad(x, pattern=[list(padding[0]), list(padding[1]), list(padding[2]), [0, 0]])
else:
x... | |
i) for i in known_items])
unknown_is_not_known = claripy.And(*[self._unknown_item.key != i.key for i in known_items])
unknown_items_result = Implies(self.is_not_overfull(state), Implies(unknown_is_not_known, pred(state, self._unknown_item)))
# TODO try with just (since we don't really need the weird length=1 case)
... | |
running from ``0`` to
``self.n_Vrepresentation()-1``. If present, the
V-representation object at the given index will be
returned. Without an argument, returns the list of all
V-representation objects.
EXAMPLES::
sage: p = polytopes.simplex(4, project=True)
sage: p.Vrepresentation(0)
A vertex at (0.7071067812... | |
= []
from mist.api.machines.models import Machine
all_machines = Machine.objects(cloud=self.cloud, missing_since=None)
for machine in all_machines:
if machine.extra.get('tags', {}).get('type') == 'hypervisor':
machines.append(machine)
return machines
def _list_machines__update_generic_machine_state(self, machi... | |
<gh_stars>1-10
# modified may 2011 to name components (map/ped) as RgeneticsData to align with default base_name
# otherwise downstream tools fail
# modified march 2011 to remove post execution hook
# pedigree data faker
# specifically designed for scalability testing of
# Shaun Purcel's PLINK package
# derived ... | |
import numpy as np
import tensorflow as tf
class Model:
"""Model class
Used for storing methods that generalize to all models.
"""
def __init__(
self,
initial_conditions=None,
model_parameters=None,
final_time=None,
time_steps=None):
self.initial_conditions = initial_conditions
self.model_parameters = mo... | |
object
"""
if device.uuid is None:
return _FS_UNAVAIL
else:
return device.uuid
def _GetInstNic(index, cb):
"""Build function for calling another function with an instance NIC.
@type index: int
@param index: NIC index
@type cb: callable
@param cb: Callback
"""
def fn(ctx, inst):
"""Call helper function... | |
used by other tools.
print(','.join(
toolchain.FilterToolchains(toolchains, 'default', True).keys() +
toolchain.FilterToolchains(toolchains, 'default', False).keys()))
def GeneratePathWrapper(root, wrappath, path):
"""Generate a shell script to execute another shell script
Since we can't symlink a wrapped ELF (... | |
# ##### BEGIN GPL LICENSE BLOCK #####
#
# 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 2
# of the License, or (at your option) any later version.
#
# This program is distribute... | |
<gh_stars>10-100
# -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.async_support.base.exchange import Exchange
import math
from ccxt.base.errors import ExchangeError
from ccxt.bas... | |
import smart_imports
smart_imports.all()
TIME_TO_LVL_DELTA = float(7) # разница во времени получения двух соседних уровней
TIME_TO_LVL_MULTIPLIER = float(1.02) # множитель опыта, возводится в степень уровня
INITIAL_HP = int(500) # начальное здоровье героя
HP_PER_LVL = int(50) # бонус к здоровью на уровень
MOB_HP... | |
"decreased",
"bose",
"roc",
"blockbuster",
"smog",
"wildfire",
"man.",
"e.t.",
"amethyst",
"collided",
"walk-in",
"prussia",
"invoices",
"mir",
"infidel",
"rogelio",
"wart",
"forceful",
"lieu",
"iodine",
"decreed",
"hairline",
"'hello",
"theatres",
"wreak",
"karina",
"limelight",
"duffel",
"... | |
MONOSPACE CAPITAL F
1D676 MATHEMATICAL MONOSPACE CAPITAL G
1D677 MATHEMATICAL MONOSPACE CAPITAL H
1D678 MATHEMATICAL MONOSPACE CAPITAL I
1D679 MATHEMATICAL MONOSPACE CAPITAL J
1D67A MATHEMATICAL MONOSPACE CAPITAL K
1D67B MATHEMATICAL MONOSPACE CAPITAL L
1D67C MATHEMATICAL MONOSPACE CAPITAL M
1D67D MATHEMATICAL MONOSPAC... | |
from twitchio.ext import commands
import twitchio as tw
import config as cf
import inflect
import random as rd
import re
from alphagram import alphagram
from api import predict
from calculator import equity, evaluate
from cipher import cipher
import dictionary
from difflib import SequenceMatcher
from ety import origins... | |
sheet.write(idx + 1, 4, nexttower['tower_name'])
sheet.write(idx + 1, 5, toweridx)
#if idx==0:
#sheet.write(idx + 1 , 0, str(uuid.UUID('0'*32)))
#sheet.write(idx + 1 , 1, u'变电站')
#sheet.write(idx + 1 , 2, 0)
#sheet.write(idx + 1 , 3, tower['id'])
#sheet.write(idx + 1 , 4, tower['tower_name'])
#sheet.writ... | |
#!/usr/bin/env python
"""
Test cases for tournament.py
These tests are not exhaustive, but they should cover the majority of the cases.
"""
import unittest
from tournament import *
class TestTournament(unittest.TestCase):
def setUp(self):
delete_matches()
delete_players()
def tearDown(self):
delete_matches(... | |
from django.core.exceptions import PermissionDenied
from django.views.decorators.http import require_GET
from django.core.mail import EmailMultiAlternatives
from django.template.loader import render_to_string
from django.urls import reverse
from django.conf import settings
from programmes.models import (
Programme,
... | |
version min:`` None
| ``api version max:`` None
| ``required:`` False
| ``default:`` id
:param sort: The data field(s) to use for sorting the output. Default is id. Valid values are id, schedule_name, time_zone, system_window_ind, recur_type, start_date, end_date, interval, ordinal, period_mins, start_min, end_min... | |
<filename>python/three_sums.py<gh_stars>10-100
from unittest import TestCase
def threeSum_old(nums):
result = []
for i in range(len(nums)):
for j in range(i + 1, len(nums)):
for k in range(j + 1, len(nums)):
if nums[i] + nums[j] + nums[k] == 0:
new_list = sorted([nums[i], nums[j], nums[k]])
if new_list not in ... | |
0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.44797,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': ... | |
#No description available
self.setFocus(self.list4)
elif self.descr_view==False:
self.setFocus(self.list)
elif action==ACTION_MOVE_LEFT:
if self.descr_view==True:
self.list3tb.setVisible(0)
self.list.setVisible(1)
self.setFocus(self.list)
self.descr_view=False
elif (self.getFocus()==self.list) and (... | |
import numpy as np
from .pyramid import Pyramid
from .filters import parse_filter
from .c.wrapper import corrDn, upConv
class WaveletPyramid(Pyramid):
"""Multiscale wavelet pyramid
Parameters
----------
image : `array_like`
1d or 2d image upon which to construct to the pyramid.
height : 'auto' or `int`.
The h... | |
# Copyright 2021 AIPlan4EU project
#
# 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 writing... | |
size:", str(batchY.size()))
if debug: print("batchX[0]:", str(batchX[0]))
if debug: print("batchY size:", str(batchY.size()))
labels = batchY.view(batch_size, -1, output_dim)
max_length = labels.size(1)
if debug: print("max_length:", str(max_length))
#if debug: print("batchX:", str(batchX.size()), "batchY:", str... | |
of `multiply_diag` is the same as
``self.dot(diag_vect.diag(), (axis, 0))``
if `direction` is "right" or "r" (the diagonal matrix comes from the
right) or
``self.dot(diag_vect.diag(), (axis, 1))``
if `direction` is "left" or "l". This operation is just done without
constructing the full diagonal matrix.
"""
ass... | |
<reponame>Sunnyfred/Atlantic_Hurricane_Simulations<gh_stars>0
import csv
import matplotlib.pyplot as plt
import numpy as np
from collections import OrderedDict
import matplotlib as mpl
# import matplotlib.gridspec as gridspec
from matplotlib.ticker import MaxNLocator
from matplotlib.ticker import StrMethodFormatter
imp... | |
# Created on 2017-8-31
# Usage: Lower Limit of Energy Requirements (LLER) for area of interest.
#--------------------------------------------------------------------------------------------------------------
#Import all necessary module dependencies
import arcpy
from arcpy.sa import *
import numpy
import os
import str... | |
<reponame>veot/ifcb-features
# The following includes a modified version of the phasecong function from
# phasepack.
# It skips several steps that are not used in IFCB segmentation
# Original license reproduced below
# MIT License:
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of ... | |
picking is enabled and all remaining command fields are
ignored (valid only in the GUI). A component name may also be
substituted for NP1 (NP2 and NINC are ignored).
dx, dy, dz
Keypoint location increments in the active coordinate system (DR,
Dθ, DZ for cylindrical, DR, Dθ, DΦ for spherical).
kinc
Keypoint inc... | |
start positions, run lengths, run values
"""
where = np.flatnonzero
if not isinstance(array, h5py.Dataset):
array = np.asarray(array)
n = len(array)
if n == 0:
return (np.array([], dtype=int),
np.array([], dtype=int),
np.array([], dtype=array.dtype))
if chunksize is None:
chunksize = n
starts, values = [... | |
<filename>src/train_utils.py
import os
import random
import tempfile
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy
import numpy as np
import tensorflow as tf
from sklearn.metrics import roc_curve, auc
from tensorflow import keras
from tensorflow.keras import backend as K
from tensorflow... |
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