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np.nonzero(ball_box) paddle_pixels = np.nonzero(paddle_line) nonlocal trigger_pulled if action == 1: trigger_pulled = True if done: trigger_pulled = False if not trigger_pulled: return 'N' try: # we get dim 1 of ball pixels and 0 of paddle pixels, which are both horizontal axis ball_x_center = (np.min(ball_p...
<filename>submit_to_anubis.py #!/usr/bin/env python ################################################################################ # Script for submitting samples to the ANUBIS analysis service. # # Last change: 19/October/2009 # Contact: <EMAIL> # # Usage: submit_to_anubis.py [options] ANALYSIS_SUBJECT_1 ANALYSIS_SU...
<gh_stars>0 # -*- encoding: utf-8 -*- from . import FixtureTest class CountryBoundaryTest(FixtureTest): def test_boundary(self): import dsl z, x, y = (8, 0, 0) # +---------------------+ # | | # | aaaaaaa*cccccccc | # | a b c | # | a b c | # | a b c | # | *bbbbbbb c | # | c c | # | c c | # | cccccccccc...
![Callysto.ca Banner](https://github.com/callysto/curriculum-notebooks/blob/master/callysto-notebook-banner-top.jpg?raw=true) <a href="https://hub.callysto.ca/jupyter/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcallysto%2Fcurriculum-notebooks&branch=master&subPath=Science/ReflectionsOfLightByPlaneAndSph...
# ccm clusters import os import shutil import time import subprocess import signal import yaml import uuid import datetime from six import print_ from distutils.version import LooseVersion from ccmlib import common from ccmlib.cluster import Cluster from ccmlib.scylla_node import ScyllaNode from ccmlib.node import No...
False elif language == 'stick': rhyctx.durations_stick = True else: raise ValueError("unknown durations behavior %s; try temporary or stick" % language) # Instruments def add_sfx(self, words): if len(words) != 4 or words[2] != 'on': raise ValueError("must have 4 words: sfx SFXNAME on CHANNELTYPE") _, name,...
Constraint(expr=m.x28*m.x2514 + m.x653*m.x2520 + m.x1278*m.x2526 + m.x1903*m.x2532 <= 8) m.c1297 = Constraint(expr=m.x29*m.x2514 + m.x654*m.x2520 + m.x1279*m.x2526 + m.x1904*m.x2532 <= 8) m.c1298 = Constraint(expr=m.x30*m.x2514 + m.x655*m.x2520 + m.x1280*m.x2526 + m.x1905*m.x2532 <= 8) m.c1299 = Constraint(expr=m.x3...
0.1 or endBall.yPosition > maxFieldCorner + 0.1): emit = True else: # Check lower left corner if (endBall.xPosition < 0 and endBall.xPosition > -2 and endBall.yPosition > -2 and endBall.yPosition < 0): emit = False # Check upper left corner elif (endBall.xPosition < 0 and endBall.xPosition > -2 and endBall.yPosi...
933, 899, 736, 195, 147, 366, 181, 973, 59, 873, 379], [161, 879, 580, 471, 865, 871, 542, 206, 816, 807, 436, 387, 893, 970, 145], [367, 686, 933, 883, 434, 565, 652, 528, 199, 346, 378, 377, 911, 746, 288], [844, 843, 849, 486, 101, 957, 940, 223, 930, 113, 359, 782, 652, 783, 559], [56, 652, 242, 424, 531, 1...
A SPECIFIC VALUE. THIS HAS IMMEDIATE EFFECT AND DO NOT FADE THE SOUND AFFECT ALL SOUNDS WITH OR WITHOUT PANNING EFFECT. PANNING SOUND EFFECT WILL BE CONSERVED AFTER ADJUSTING THE VOLUME :param volume_: float; volume value, default is 1.0 :return : None """ # SET THE VOLUME IN CASE OF AN INPUT ERROR ...
<filename>components/server/tests/data/test_datamodel.py<gh_stars>0 """Unit tests for the data model.""" import json import pathlib import unittest def setUpModule(): # pylint: disable=invalid-name """Read the data model once for all data model tests.""" with pathlib.Path("src/data/datamodel.json").open() as data_...
skip_0: if varying_in: shader_source += "varying " + input + "_vs_output;\n" else: shader_source += insert_layout_location(index_counter) shader_source += "in " + input + "_vs_output;\n" index_counter += 1 for instance_input in instance_inputs: shader_source += insert_layout_location(index_counter) shader_sour...
""" This module defines a class called "balto_gui" that can be used to create a graphical user interface (GUI) for downloading data from OpenDAP servers from and into a Jupyter notebook. If used with Binder, this GUI runs in a browser window and does not require the user to install anything on their computer. However, ...
# -*- coding: utf-8 -*- import logging import itertools import typing import semver import copy as py_copy from typing import List, Set, Dict, Tuple, Optional from enzi import config from enzi.config import DependencyRef from enzi.config import Config as EnziConfig from enzi.config import DependencyVersion from enzi....
<reponame>sratgh/CarND-Capstone #!/usr/bin/env python import rospy from std_msgs.msg import Int32, Bool from geometry_msgs.msg import PoseStamped, Pose, TwistStamped from styx_msgs.msg import TrafficLightArray, TrafficLight from styx_msgs.msg import Lane, Waypoint from scipy.spatial import KDTree from sensor_msgs.msg i...
= [] local_var_files = {} if 'custom_signature_id' in params: form_params.append(('custom_signature_id', params['custom_signature_id'])) body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/vnd.api+json']) # HTTP header `Content-Type` header...
{'Type': 'Digital', 'x': 1189, 'y': 1752, 'width': 1032}, # Bottom hat down 'Joy_7': {'Type': 'Digital', 'x': 1189, 'y': 1808, 'width': 1032}, # Bottom hat left 'Joy_8': {'Type': 'Digital', 'x': 1189, 'y': 1640, 'width': 1032}, # Bottom hat up 'Joy_9': {'Type': 'Digital', 'x': 1198, 'y': 1275, 'width': 832}, # Rear ...
{} self.point_db = {} self.gs = None self._ref_gs = GeometrySearch(GEO_FILL_LENGTH, use_dist=True, perform_self_testing=perform_self_testing) self._ref_way_db = {} self._way_db_iter = None self._way_db_sub_iter = None self._perform_self_testing = perform_self_testing # Expected properties of 'reference_geometr...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # Copyright (C) 2016 Pluralsight, LLC. # # 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 ...
<reponame>jaxsbin/shangmi<gh_stars>1-10 # -*- coding: utf-8 -*- from django.conf import settings from itsdangerous import URLSafeTimedSerializer as utsr from django.db import connection from django.utils import timezone from django.http import HttpResponse, QueryDict import base64 import requests import six import mode...
<reponame>TeMU-BSC/PharmaCoNER-Tagger<gh_stars>1-10 import sklearn.preprocessing import utils import collections import codecs import utils_nlp import re import time import token import os import pickle import random class Dataset(object): """A class for handling data sets.""" def __init__(self, name='', verbose=F...
1) ) res = self.post_agreement_update(agreement_id, { 'countersignedAgreementPath': 'countersigned/file.jpg' }) assert res.status_code == 200 data = json.loads(res.get_data(as_text=True)) expected_agreement_json = { 'id': agreement_id, 'supplierId': supplier_framework['supplierId'], 'frameworkSlug': supplie...
== 3: dw = [[], [], [], []] ew = [[], [], [], []] dw[0] = [dList[4][0], dList[4][1] - window, dList[4][2] - window] dw[1] = [dList[1][0], dList[1][1] - window, dList[1][2] + window] dw[2] = [dList[2][0], dList[2][1] + window, dList[2][2] + window] dw[3] = [dList[5][0], dList[5][1] + window, dList[5][2] - window]...
<filename>chemics/biomass_composition.py<gh_stars>10-100 """ Use the `biocomp()` function to calculate biomass composition. Use the `plot_biocomp()` function to create a Matplotlib figure of the biomass composition results. """ import numpy as np def biocomp(yc, yh, yo=None, yh2o=0, yash=0, alpha=0.6, beta=0.8, gamm...
''' author: bg goal: type: modelz - sklearn for workflow management + PyTorch/keras for transfer learning components + pytorch for nn modules how: wrapper class for workflow management (pytorch opt&loss + sklearn pipe&metrics) + ArchitectureMixin and implementation for custom architectures. ref: refactors: ''' fr...
import serial.serialutil import pygame, math, sys, uart, serial, threading, time, numpy from scipy.optimize import curve_fit from statistics import pstdev # Constants BLUE = (25, 25, 200) PURPLE = (150, 25, 200) BLACK = (23, 23, 23) GREY = (56, 56, 56) WHITE = (254, 254, 254) RED = (200, 25, 25) GREEN = (25, 200, 25) ...
NT 5.1; .NET CLR 1.1.4322)') uagent.append('Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; {1C69E7AA-C14E-200E-5A77-8EAB2D667A07})') uagent.append('Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; acc=baadshah; acc=none; freenet DSL 1.1; (none))') uagent.append('Mozilla/4.0 (compatible; MSIE 5.5; Windows 98)')...
if not name and not rule_id: raise SDKException( 'OperationWindow', '102', 'Either Name or Rule Id is needed') if name and not isinstance(name, str) or rule_id and not isinstance(rule_id, int): raise SDKException('OperationWindow', '106') if name: rule_id = self.get(name=name).rule_id flag, response = self....
<filename>kamodo/readers/tiegcm.py import numpy as np from kamodo import Kamodo, kamodofy, gridify import time from scipy.interpolate import RegularGridInterpolator, interp1d from datetime import datetime,timedelta # pip install pytiegcm from tiegcm.tiegcm import TIEGCM # 'UN', 'VN', 'O1', 'NO', 'N4S', 'HE', 'NE', '...
when the browse mode element is not found. prevError=_("no previous embedded object")) qn("annotation", key="a", # Translators: Input help message for a quick navigation command in browse mode. nextDoc=_("moves to the next annotation"), # Translators: Message presented when the browse mode element is not found...
#!/usr/bin/env python3 """ Compute the embeddings for every task and store to disk. Since many tasks might be too large to store in GPU memory (or even CPU memory), and because Wavenet-like models will be expensive at inference time, we cache all embeddings to disk. One benefit of this approach is that since all embe...
<filename>resources/mgltools_x86_64Linux2_1.5.6/MGLToolsPckgs/Pmv/hostappInterface/comput_util.py ## Automatically adapted for numpy.oldnumeric Apr 10, 2008 by ## ## Copyright (C) The Scripps Research Institute 2006 ## ## Authors: <NAME> <<EMAIL>> ## ## $Header: /opt/cvs/python/packages/share1.5/Pmv/hostappInterface/co...
<filename>ea_transformer.py import math from functools import partial from collections import OrderedDict from copy import deepcopy import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from hilbert import decode, encode from pyzorder import ZOrderIndexer from timm.data import IMAGEN...
``day_of_month='1-7,15-21'`` (for the first and third weeks of the month). .. attribute:: month_of_year - A (list of) integers from 1-12 that represents the months of the year during which execution can occur. - A string representing a Crontab pattern. This may get pretty advanced, such as ``month_of_year='*/3'...
Parameters: - path """ self.send_listStatus(path) return self.recv_listStatus() def send_listStatus(self, path): self._oprot.writeMessageBegin('listStatus', TMessageType.CALL, self._seqid) args = listStatus_args() args.path = path args.write(self._oprot) self._oprot.writeMessageEnd() self._oprot.trans.flush...
<reponame>hatemhosny/jupytext """ContentsManager that allows to open Rmd, py, R and ipynb files as notebooks """ import os from datetime import timedelta import nbformat import mock from tornado.web import HTTPError from traitlets import Unicode, Float, Bool, Enum from traitlets.config import Configurable # import not...
for files. On Windows a merely adapter to os.utime """ os.utime(filepath, (time.time(), mtime)) else: def lmtime(filepath, mtime): """Set mtime for files, while not de-referencing symlinks. To overcome absence of os.lutime Works only on linux and OSX ATM """ from .cmd import Runner # convert mtime to format ...
] optimizer_cls = AdamW optimizer_kwargs = { "betas": (args.adam_beta1, args.adam_beta2), "eps": args.adam_epsilon, } optimizer_kwargs["lr"] = args.learning_rate return optimizer_cls(optimizer_grouped_parameters, **optimizer_kwargs) def convert_example_to_features(example, tokenizer, max_seq_length, doc_stride...
= None ''' ''' preset_menu = None ''' ''' preset_subdir = None ''' ''' preset_values = None ''' ''' def as_filename(self, name): ''' ''' pass def as_keywords(self, ignore): ''' ''' pass def as_pointer(self): ''' ''' pass def bl_rna_get_subclass(self): ''' ''' pass def bl_rna_get_...
arg_default # If a relative path has been provided either in the environmental # var or as the default that path needs to be appended to the # module path. Since all full paths begin with a path delimiter # this is a valid test if my_tmp[0] != "/": my_tmp = ( PathUtils.include_trailing_path_delimiter(self.module...
as shaded regions. Parameters ---------- data : dict The Python data dictionary generated from running main.py type_ : str Which type of data to plot, one of "eval" or "train" ind : iter of int The list of hyperparameter settings indices to plot smooth_over : int The number of previous data points to smooth ...
"""Test suite for faceted module""" from collections import OrderedDict from itertools import product import matplotlib.axes import matplotlib.figure import matplotlib.pyplot as plt import numpy as np import pytest from ..faceted import ( _DEFAULT_ASPECT, _DEFAULT_WIDTH, faceted, faceted_ax, _infer_constraints, ...
#!/usr/bin/env python from __future__ import print_function import cx_Oracle import datetime import calendar import sys import logging import CondCore.Utilities.conddb_serialization_metadata as sm import CondCore.Utilities.credentials as auth import CondCore.Utilities.conddb_time as conddb_time import os authPathEnvV...
value/colors supported for now if (def_val_dim == 1 or def_val_dim == 4) and default_value.count(None) < def_val_dim: sampler_name = prefix + action.name + "_mat_node_anim" if getIndex(samplers, sampler_name) == -1: sampler = {} interpolation = animateGetInterpolation(exportSettings, default_value) sampler['in...
from .geometry import near, isnear, orient2d, inrng, slide import numpy as np import math class vec3: @classmethod def O(cls): return cls(0, 0, 0) @classmethod def U(cls, r=1): return cls(r, r, r) @classmethod def X(cls, r=1): return cls(r, 0, 0) @classmethod def Y(cls, r=1): return cls(0, r, 0) @cl...
<filename>azsmart/defaults.py """ Contains default configuration. To override this just set orca definitions in the calling notebook or script. Defines data model for running azsmart simulation w/ orca and urbansim. Note: the actually loading of dating tables from h5 sources will be done via TableLoad template/confi...
crest.Influence), "The entity created an influence for the pulled up port") self.assertEqual(testentity.port_in_connect.source, testentity.port_in, "The connection's source is the pulled up port") self.assertEqual(testentity.port_in_connect.target, testentity.sub1.port_in, "The connection's target is the subentity's ...
<gh_stars>1-10 import gpflow import numpy as np import pandas as pd import os import sys import matplotlib.pyplot as plt import tensorflow as tf import tensorflow_probability as tfp import gpflow from gpflow.utilities import ops, print_summary from gpflow.config import set_default_float, default_float, set_default_...
modulus 7^20 sage: Zp(7, 20, 'capped-abs') 7-adic Ring with capped absolute precision 20 We create a capped relative ring with each print mode:: sage: k = Zp(7, 8, print_mode='series'); k 7-adic Ring with capped relative precision 8 sage: k(7*(19)) 5*7 + 2*7^2 + O(7^9) sage: k(7*(-19)) 2*7 + 4*7^2 + 6*7^3 + ...
= None if ctx.aliasExpr: kwargs['alias'] = self.visit(ctx.aliasExpr) name = self.visit(ctx.name) workarea = self.visit(ctx.workArea) if isinstance(workarea, float): workarea = int(workarea) return make_func_code('DB.use', name, workarea, opentype, **kwargs) def visitLocate(self, ctx): kwargs = OrderedDict() ...
<gh_stars>0 # Copyright 2019 <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. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
<gh_stars>0 #!/usr/bin/env python # coding: utf-8 # In[1]: import pandas as pd import matplotlib.pyplot as plt # In[2]: d08=pd.read_csv("1902HackDATA/IPL2008CSV.csv") #***Basic/General/Normal Information d08.head() d08.dtypes d08.info() d08.describe() # In[3]: d08 # In[4]: d08['Strike Rate1']=None d08['...
<filename>django/docs/topics/testing/overview.txt.py XXXXXXXXXXXXXXXXXXXXXXXXX XXXXXXX XXX XXXXXXX XXXXX XXXXXXXXXXXXXXXXXXXXXXXXX XX XXXXXXXX XXXXXXXXXXX XXXXXXXXXX XXXXXXX XXXXX XXX XXXXXX XXXXXXXXXXXXX XX XXXXXXXXX XXX XXXXXXXXXXXXX XXXXXXXX XXXXXXXXXXXXXXXXXXXXX XXX XXXXXXXXXXXXX XXXXX XXXXXXXXX XXXXXXXXXXXXX...
where: callCount = the number of calls made timeTakenCPU = the CPU time spent in microseconds timeTakenWall = the actual time ( wall time ) spent in microseconds """ raise NotImplementedError("This function is not written yet. Please put in an issue on the github page.") def pixelAspect(self): """ self.pixelAs...
""" Each stat kind is populated from one or more stat sections (which are described in the containers module). Ns_Kind_CompositeIndex -> composite-indexes Kind_CompositeIndex -> composite-indexes Ns_Kind_IsRootEntity -> entities + builtin-indexes Ns_Kind_NotRootEntity -> entities + builtin-indexes Kind_IsRootEntity -> ...
``px``, etc. hx : list, optional list of normalized field heights along x axis, of length ``numRays``; if ``None``, a list of 0.0s for ``hx`` is created. hy : list, optional list of normalized field heights along y axis, of length ``numRays``; if ``None``, a list of 0.0s for ``hy`` is created px : list, optional...
<filename>tests/plugins/test_accounts.py import bcrypt import unittest import uuid from unittest import mock from kinto.core import utils from kinto.core.events import ACTIONS, ResourceChanged from kinto.core.testing import get_user_headers, DummyRequest from pyramid.exceptions import ConfigurationError from pyramid_m...
hasattr(self.callbacks,'logger'): return tcgSupport.fail(self.callbacks.logger,self.callbacks.devname,StatusCode,op=currentFuncName(1), msg=msg, status=status) def getRange(self, rangeNo, auth, authAs=None): ''' Reads a band from the drive. Parameters: rangeNo - the band to read auth - Default auth in case if ...
lambda t: (time2str(t,cad='%Y-%m-%d_%H:%M:%S') +('%0.3f'%(t%1)).lstrip('0')) #taurustrend timestamp format ml = min(len(v) for v in table.values()) for i in range(ml): #len(table.values()[0])): csv+=sep.join([time_to_text(table.values()[0][i][0]), str(table.values()[0][i][0])] +[value_to_text(table[k][i][1]) fo...
idx): input = self.tensor[idx] target = self.classes[idx] return input, target def __len__(self): return len(self.tensor) class MultiTransformDataset(data.Dataset): def __init__(self, dataset, t): self.dataset = dataset self.transform = transforms.Compose( [transforms.ToPILImage()] + t) def __getitem__(s...
actions for a set of members. These ACL classes can then be bundled and attached to a base base using the ``ACLSet`` class. ======== ================ Type Description ======== ================ Scope The scope specifies where the ACL is valid for, e.g. ONE-level, all SUB-levels or RESET previous ACLs Members A l...
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228, 'Renaming Unit/Peak Dynamic': 3.58947, 'Renaming Unit/Runtime Dynamic': 0.263641, 'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 3.77863, 'S...
raise TypeError( # pragma: no cover "Unexpected type %r." % type(op)) def mark_last_node(self): """ Marks the last node as the final output. """ if self.last_added_op is None: raise RuntimeError("last_added_op is None.") # pragma: no cover self.mark(-1, self.last_added_op) def mark(self, i, op): """ Marks ...
<filename>gymV02/qcore/utils/handle_data.py #!/usr/bin/python # -*- coding: utf-8 -*- ''' Implement the classes required to handle orders and the access to information related to books and candles subscribed by an agent @author: ucaiado Created on 07/05/2018 ''' import os import yaml from collections import namedtup...
<reponame>charlienew/GANCS<gh_stars>10-100 import numpy as np import tensorflow as tf FLAGS = tf.app.flags.FLAGS class Model: """A neural network model. Currently only supports a feedforward architecture.""" def __init__(self, name, features): self.name = name self.outputs = [features] def _get_layer_str(s...
<gh_stars>0 ''' Plot a variable (XYZ coord, ZTD, residuals) vs. time with TRACE file as input Input: trace_file - .TRACE file location from pea - str output_dir - output_directory for plots - str Plotting Options -PPP - Plot XYZ Coords in PPP mode - str -SPP - Plot XYZ Coords in SPP mode - str -ZTD - Plot ZTD Estimat...
<reponame>MinervaVilchez/tytus<filename>parser/team25/code/astFunciones.py from astExpresion import Expresion, ExpresionCadena, ExpresionID, ExpresionNumero, TIPO_DE_DATO from reporteErrores.errorReport import ErrorReport # EN EL AMBITO MAS EXTERIOR SE INGRESAN A LA LISTA , EN ESTAS SUB CLASES SOLO SE SUBE EL ERROR imp...
# -*- coding: utf-8 -*- import os import json import requests import configparser from easydict import EasyDict as edict from datetime import datetime from archives_tools.dacs import iso2DACS import uuid #funtions for debugging def pp(output): try: print (json.dumps(output, indent=2)) except: import ast print ...
<reponame>duserzym/BiCEP_GUI<gh_stars>1-10 import pandas as pd import pandas as pd from importlib import reload # allows reloading of modules import numpy as np import matplotlib.pyplot as plt from sklearn.decomposition import PCA import ipywidgets as widgets from IPython.display import display, clear_output from impor...
= N.array([1,2,1]) transformations.append((rot, trans_num, trans_den)) rot = N.array([-1,0,0,0,1,0,0,0,-1]) rot.shape = (3, 3) trans_num = N.array([0,1,1]) trans_den = N.array([1,2,2]) transformations.append((rot, trans_num, trans_den)) rot = N.array([-1,0,0,0,-1,0,0,0,1]) rot.shape = (3, 3) trans_num = N.array([0,0,1]...
* s * iv(k, b * s) * kv( (-1) + k, s) + ( -3) * b * k * s * iv(k, b * s) * kv( (-1) + k, s) + (-8) * b * k ** 2 * iv( k, b * s) * kv( k, s) + 2 * iv((-1) + k, b * s) * ( ((-1) + k) * s * kv((-2) + k, s) + ( (-1) + 3 * k ** 2) * kv((-1) + k, s) + ( -1) * ((-1) + k) * s * kv(k, s)) + ( -4) * b * s * iv( k, ...
# Copyright (c) 2018, Science and Technology Facilities Council # This software is distributed under a BSD licence. See LICENSE.txt. """ load_functions -------------- Module for top-level functions that open MRC files and form the main API of the package. """ # Import Python 3 features for future-proofing from __fu...
*= stem.segL # Get the end point position end_co = stem.p.co.copy() stem.spline.bezier_points.add() newPoint = stem.spline.bezier_points[-1] (newPoint.co,newPoint.handle_left_type,newPoint.handle_right_type) = (end_co + dirVec,hType,hType) newPoint.radius = stem.radS*(1 - (stem.seg + 1)/stem.segMax) + stem.radE...
<reponame>Xarthisius/yt import abc from functools import wraps import numpy as np from yt.config import ytcfg from yt.data_objects.image_array import ImageArray from yt.funcs import ensure_numpy_array, is_sequence, mylog from yt.geometry.grid_geometry_handler import GridIndex from yt.geometry.oct_geometry_handler imp...
import numpy as np from matplotlib.patches import Ellipse import matplotlib.pyplot as plt def make_fisher_matrix(params_dict, fisher_params, hpeak=0.0, obs='GS', sigma=None, sigma_mod_frac=0., k_min=None, k_max=None, z_min=None, z_max=None, axis_PS=None, cosmo_key='CDM', add_sigma_poisson=False): """ Make Fish...
# Copyright 2015 IBM Corp. # # 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 agr...
UrlMapDefaultRouteActionRetryPolicyPerTryTimeout.to_proto( resource.per_try_timeout ) ) else: res.ClearField("per_try_timeout") return res @classmethod def from_proto(self, resource): if not resource: return None return UrlMapDefaultRouteActionRetryPolicy( retry_condition=Primitive.from_proto(resource.ret...
import numpy as np import os from numba import jit fit_arg,blr,ns=False,0.1,'all' log_path=os.path.join('./logs/avion/vol1/log_real_processed.csv') # les booleans qui déterminent plusieurs comportements, voir coms fit_on_v=fit_arg #est ce qu'on fit sur la vitesse prédite ou sur l'acc used_logged_v_in_model=not...
<reponame>mightqxc/panda-atm<filename>pandaatm/atmbody/slow_task_analyzer.py import os import time import datetime import copy import json from pandacommon.pandalogger import logger_utils from pandaatm.atmconfig import atm_config from pandaatm.atmcore import core_utils from pandaatm.atmbody.agent_base import AgentBas...
# -*- coding: utf-8 -*- # # Parse a RSD log file. # # This class is used by KanataConverter. # # There are several IDs in this script: # # iid: An unique id for each instruction in a RSD log file. # This is outputted from SystemVerilog code. # mid: The index of a micro op in an instruction. # This is outputted from S...
ord(".") a[2] = ord("?") assert p[2] == b"?" def test_from_buffer_more_cases(): try: from _cffi_backend import _testbuff except ImportError: py.test.skip("not for pypy") BChar = new_primitive_type("char") BCharP = new_pointer_type(BChar) BCharA = new_array_type(BCharP, None) # def check1(bufobj, expected): ...
<reponame>wjsi/aliyun-odps-python-sdk<filename>docs/source/conf.py # -*- coding: utf-8 -*- # # PyOdps documentation build configuration file, created by # sphinx-quickstart on Wed Nov 18 09:47:14 2015. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible co...
import re from typing import Any, Callable, Dict, Iterator, List, Mapping, OrderedDict, Union import asdf from asdf import ValidationError from asdf.schema import _type_to_tag from asdf.tagged import TaggedDict from weldx.asdf.extension import WxSyntaxError from weldx.asdf.tags.weldx.time.datetimeindex import Datetim...
#! /usr/bin/python """Code to combine different slabs into a single high resolution slab # This code was developed by <NAME> at the ARAMIS lab. # Maintainer: <NAME> (2019) # # For any use of this code, the following paper must be cited: # # <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, # <NAME>, <NAME>, <NAME>, <...
by one SciELO Collection. `editor_address` references the institution who operates the process. `publisher_address` references the institution who is responsible for the Journal. """ #Custom manager objects = JournalCustomManager() nocacheobjects = models.Manager() userobjects = modelmanagers.JournalManager(...
is computed. Returns ------- corr: float Interquartile range of 1-dimensional sequence. """ #ny.percentile(sig, 75) - ny.percentile(sig, 25) return np.percentile(sig, 75) - np.percentile(sig, 25) # Kurtosis def calc_kurtosis(sig): """Compute kurtosis along the specified axes. Parameters ---------- input:...
= OrderedDict([ ('peer_address', YLeaf(YType.str, 'peer-address')), ('plsp_id', YLeaf(YType.int32, 'plsp-id')), ('tunnel_name', YLeaf(YType.str, 'tunnel-name')), ('pcc_address', YLeaf(YType.str, 'pcc-address')), ('tunnel_name_xr', YLeaf(YType.str, 'tunnel-name-xr')), ]) self.peer_address = None self.plsp_id = N...
from collections import defaultdict from typing import Iterable, List import torch from ppq.core import (COMPELING_OP_TYPES, LINEAR_ACTIVATIONS, ORT_OOS_FUSE_START_OPS, PPLCUDA_ACTIVATIONS, QuantizationProperty, QuantizationStates, RoundingPolicy, TargetPlatform, TensorQuantizationConfig, empty_ppq_cache) from ppq...
SETermsRef.append([ind1, ind2, -1, -1]) ind1 = ResolvedVarNames.index('Vij') ind2 = ResolvedVarNames.index('Vimmjm') SETermsRef.append([ind1, ind2, -1, -1]) ind1 = ResolvedVarNames.index('Vij') ind2 = ResolvedVarNames.index('Uimjpp') SETermsRef.append([ind1, ind2, -1, -1]) ind1 = ResolvedVarNames.index('Vij') i...
of the sound device, and not the format you gave to `Mix_OpenAudio`, although they may in reality be the same. This is an unfortunate but necessary speed concern. Use `Mix_QuerySpec` to determine if you can handle the data before you register your effect, and take appropriate actions. You may also specify a callb...
command (%s for help, %s to quit): ' % (cyan('h'), cyan('q')) if num is not None: choice = num else: choice = get_input(msg) if isinstance(choice, int): if 0 <= choice <= len(entries): break else: if num is not None: exit("Invalid number {}: must be between 0 and {}" .format(num, len(entries) - 1)) else: ...
# encoding: utf-8 """ @author: liaoxingyu @contact: <EMAIL> """ import copy import torch from torch import nn from .backbones.resnet import ResNet, BasicBlock, Bottleneck from .backbones.senet import SENet, SEResNetBottleneck, SEBottleneck, SEResNeXtBottleneck from .backbones.resnet_ibn_a import resnet50_ibn_a from .b...
#!/usr/bin/env python # -*- coding: utf-8 -*- # Created by <NAME> at 2019-08-20 """Step_refine_pipline_final.py :description : basic check .mass balance,annotation,notes :param : :returns: :rtype: """ import os import pickle import re import cobra import pandas as pd from Bio import SeqIO import My_def os.chdir...
# Integer matrix multiply 8816 A/B # load 1/2/4 submatrix partition_contiguous_idx = lane_in_quad // factor_in_partition # 0011 0011 0011 0011 # access_strided_idx = lane_idx // warp_bfa_access_shape[1] access_strided_idx = lane_idx // new_obj.layout.factor access_contiguous_idx = ( (lane_in_pair * factor_in_pa...
# search.py # --------- # Licensing Information: You are free to use or extend these projects for # educational purposes provided that (1) you do not distribute or publish # solutions, (2) you retain this notice, and (3) you provide clear # attribution to UC Berkeley, including a link to http://ai.berkeley.edu. # # At...
<filename>tuf/scripts/repo.py #!/usr/bin/env python # Copyright 2018, New York University and the TUF contributors # SPDX-License-Identifier: MIT OR Apache-2.0 """ <Program Name> repo.py <Author> <NAME> <<EMAIL>> <Started> January 2018. <Copyright> See LICENSE-MIT OR LICENSE for licensing information. <Purpos...
RESUMABLE_UPLOAD_THRESHOLD=5): with _NamedTemporaryFile() as temp: with open(temp.name, 'wb') as file_obj: file_obj.write(DATA) with open(temp.name, 'rb') as file_obj: blob.upload_from_file(file_obj, rewind=True) rq = connection.http._requested self.assertEqual(len(rq), 3) # Requested[0] headers = dict( [(x...
""" Some basic inference functions adapted from my inferno module which should be available here soon: https://github.com/nealegibson/inferno Really they are just rewritten versions of https://github.com/nealegibson/Infer But there are many other options for optimisers/MCMCs/etc, and they should (in principle) all do m...
import math import os import sys from ConfigParser import RawConfigParser DEFAULT_SIZE = 400 BOARD_SIZE = 8 CHECKER_SIZE = 30 MAX_VALID_SQ = 32 MOVE = 0 JUMP = 1 OCCUPIED = 0 BLACK = 1 WHITE = 2 MAN = 4 KING = 8 FREE = 16 COLORS = BLACK | WHITE TYPES = OCCUPIED | BLACK | WHITE | MAN | KING | FREE...
# Owner(s): ["module: nn"] import inspect import torch from unittest import mock from unittest.mock import MagicMock, patch from torch.testing import floating_types from torch.testing._internal.common_device_type import instantiate_device_type_tests, dtypes from torch.testing._internal.common_quantization import skipI...