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Python
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# coding=utf-8 # Copyright 2022 The Google Research 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 applicab...
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Python
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from importlib import resources import logging from PyQt6 import uic, QtWidgets, QtCore import matplotlib from bmlab.models.setup import AVAILABLE_SETUPS from bmlab.session import Session from bmlab.controllers import PeakSelectionController, EvaluationController from bmicro.gui.mpl import MplCanvas import os mat...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "sankey" _path_st...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "volume" _path_st...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "funnel" _path_st...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "icicle" _path_st...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "violin" _path_st...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "mesh3d" _path_st...
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Python
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import re import shlex import subprocess import numpy as np from collections import Counter, defaultdict from sklearn.metrics import f1_score,accuracy_score,confusion_matrix class Evaluator: def __init__(self, mode = "combined", k=8, best_of=1,exact_match=True, full_align=False): self.mode = mode...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "quiver" _path_st...
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Python
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from keras.models import Sequential, Model from keras.layers import Dense, Dropout, Input, Lambda, Conv2D, Conv2DTranspose, MaxPool2D, UpSampling2D, Flatten, Reshape, Cropping2D from keras import backend as K from keras.losses import mse, binary_crossentropy import math import numpy as np # create MLP model def mlp_m...
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Python
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"""Loader base class.""" import importlib import os import re import sys from datetime import datetime, timezone from kombu.utils import json from kombu.utils.objects import cached_property from celery import signals from celery.exceptions import reraise from celery.utils.collections import DictAttribute, force_mappi...
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Python
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# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license import json import shutil import subprocess import sys from pathlib import Path import pytest from PIL import Image from tests import CUDA_DEVICE_COUNT, CUDA_IS_AVAILABLE, MODELS, TASK_MODEL_DATA from ultralytics.utils import ARM64, ASSETS, DATASETS...
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Python
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""" 02: Fitting Power Spectrum Models ================================= Introduction to the module, beginning with the model object. """ ################################################################################################### # Import the model object from specparam import SpectralModel # Import a utilit...
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Python
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#!/usr/bin/env python # -*- coding: utf-8 -*- #python main_profiles.py /home/mzieleniewska/empi/from_hpc/data/smp/ from __future__ import division import argparse import os import glob import json import pandas as pd import numpy as np from scipy.stats import scoreatpercentile, gamma, skew, pareto, entropy import m...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "contour" _path_s...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "heatmap" _path_s...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "treemap" _path_s...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "surface" _path_s...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scatter" _path_s...
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Python
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"""Assemble collected node/way/relation records into a GeoDataFrame through pyrosm's own tag and geometry pipeline, so the output matches the in-memory reader column-for-column. """ import numpy as np from pyrosm.engine.bounding_box import _in_box_nodes from pyrosm.engine.decode import _is_threaded from pyrosm.engine...
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# Copyright (c) 2024 PaddleHelix Authors. All Rights Reserved. # # Licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 # International License (the "License"); you may not use this file except # in compliance with the License. You may obtain a copy of the License at # # http://creativecommo...
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Python
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"""Unit tests for the searchlight patch generator.""" import numpy as np import pytest from mne_rsa import searchlight from numpy.testing import assert_equal from scipy import sparse class TestSearchLight: """Test the searchlight generator class.""" def test_iter_spatio_temporal(self): """Test gener...
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Python
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# !/usr/bin/env python3 # Copyright (c) 2021 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 # ...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "sunburst" _path_...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "barpolar" _path_...
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# type: ignore from contextlib import contextmanager from typing import Any, Callable, Iterable, List, Optional, Type import torch import torch.nn as nn from pytorch_lightning import LightningModule, Trainer from pytorch_lightning.utilities.apply_func import apply_to_collection from pytorch_lightning.utilities.excepti...
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Python
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import torch import torch.nn as nn import torch.utils.model_zoo as model_zoo from .custom_modules import SequentialWithArgs, FakeReLU __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152'] model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth'...
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Python
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''' K-Folding script author: obanmarcos ''' import os import os, sys from config import * sys.path.append(where_am_i()) import pytorch_lightning as pl from pytorch_lightning.profiler import SimpleProfiler import argparse import numpy as np import matplotlib.pyplot as plt import pandas as pd from utilities import dat...
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#!/usr/bin/env python3 '''Take a prefix and model name run predictions, and generate evaluations for crystal, bestonly, and all test sets (take max affinity; if pose score is available also consider max pose score). Generates graphs and overall CV results. Takes the prefix and (for now) assumes trial 0. Will evalua...
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Python
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"""Tests for the TorchLens 2.0 top-level API budget.""" from __future__ import annotations import importlib import warnings import torchlens TARGET_ALL = [ # L3 ATen profile facade (documented-unstable; exported at __all__ head). # Ratchet row repaired by L6 post-merge: the L1/L3 merge train landed the ...
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"""Capability-table lockstep + chokepoint battery (L7a memo sec 6). BOTH halves of the outcome-table enforcement pattern: (i) the NEGATIVE scan — nobody reads STRUCTURE_ONLY_CAPABILITIES but the one chokepoint — AND (ii) a POSITIVE CALLSITE INVENTORY over every value-bearing surface the table promises to gate. Plus: d...
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Python
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import networkx as nx import numpy as np import pandas as pd import scanpy as sc from anndata import AnnData from networkx import Graph from sklearn.neighbors import NearestCentroid from stlearn.spatial.clustering import localization from stlearn.spatial.morphology import adjust from stlearn.types import _METHOD def...
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"""TensorFlow backend registry and P1 mode-selection tests.""" from __future__ import annotations import sys import types from typing import Any import pytest import torch from conftest import tensorflow_backend_modules import torchlens as tl from torchlens.backends import ( BackendMismatchError, get_backen...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scattergl" _path...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "histogram" _path...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "waterfall" _path...
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"""Phase 4 facet patching helper tests.""" from __future__ import annotations from collections.abc import Iterator from typing import Any import pytest import torch from torch import nn import torchlens as tl from torchlens.semantic import FacetSpec class HeadResult(nn.Module): """Return two explicit head-res...
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Python
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import numpy as np import tensorflow as tf from scipy.integrate import odeint from scipy.special import binom def library_size(n, poly_order, use_sine=False, include_constant=True): l = 0 for k in range(poly_order + 1): l += int(binom(n + k - 1, k)) if use_sine: l += n if not include_c...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scatter3d" _path...
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Python
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import numpy as np from abc import abstractmethod, ABC from rdkit.Chem import Mol from typing import Sequence, List, Any class ConfRanker(ABC): """Base class of conformer rankers :param name: Name of the ranker :type name: str :param ascending: Set to True to rank conformer by ascending value...
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Python
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# Run test with: # torchrun --no_python --nproc_per_node=8 pytest -q -s tests/models/test_gpt_parallel.py import math import pytest import torch import torch.nn as nn import torch.nn.functional as F from apex.transformer import parallel_state from einops import rearrange from flash_attn.losses.cross_entropy import Cr...
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Python
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from keras.src import backend from keras.src import initializers from keras.src.api_export import keras_export from keras.src.optimizers import optimizer @keras_export(["keras.optimizers.Ftrl"]) class Ftrl(optimizer.Optimizer): r"""Optimizer that implements the FTRL algorithm. "Follow The Regularized Leader"...
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Python
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"""Teardown of a half-open broker connection must be bounded. Two long-standing hangs share one cause: a read issued on a socket that is already open, against a peer that has gone silent without sending RST - a suspended VM, or a firewall dropping the flow. * GH-9705 (reconnect): ``on_connection_error_after_connected...
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Python
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import pytest import nway.utils as utils import numpy as np from jinja2 import Template import os import json import PIL.Image TEST_FILE_DIR = os.path.join( os.path.dirname(os.path.abspath(__file__)), 'test_files') @pytest.fixture(scope='function') def experiments(tmpdir): thistest = os.path.join...
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"""Hyperbolic neural networks on the Poincare ball, 2018-2019. Paper: Ganea, Becigneul, and Hofmann 2018, "Hyperbolic Neural Networks"; Chami et al. 2019, "Hyperbolic Graph Convolutional Neural Networks". The modules implement Poincare-ball exp/log maps, Mobius addition, and small hyperbolic linear/aggregation layers ...
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Python
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "choropleth" _pat...
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"""Module for regression functions.""" import functools import numpy as np from sklearn.base import RegressorMixin from sklearn.metrics import r2_score from sklearn.svm import SVR as sklearnSVR from sklearn.utils.extmath import softmax from .classification import MDM from .geometry._docs import deprecated from .geome...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "densitymap" _pat...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scattergeo" _pat...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "isosurface" _pat...
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"""Tests for xcp_d.utils.restingstate.""" import warnings import numpy as np import pytest from nilearn import masking from scipy import signal from xcp_d.utils import restingstate def test_compute_alff(ds001419_data): """Test ALFF calculated from an array. Get the FFT of a Nifti, add to the amplitude of ...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "streamtube" _pat...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "funnelarea" _pat...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scattermap" _pat...
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import pynvml as real_pynvml GEO_METADATA_USA = { "organization_name": "foobar", "region": "Illinois", "accuracy": 1, "asn": 0, "organization": "foobar", "timezone": "America/Chicago", "longitude": "88", "country_code3": "USA", "area_code": "0", "ip": "foobar", "city": "Chic...
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"""Tests for Op.var_names source assignment extraction.""" from __future__ import annotations from collections.abc import Callable from pathlib import Path from typing import Any import torch import torchlens as tl from torchlens.data_classes.trace import Trace def _first_var_names(trace: Trace, func_name: str) -...
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import json import numpy as np import os from pose_model import PoseEstimationInferenceModel import cv2 from PIL import Image from tqdm import tqdm import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt DATASET_INFO = { 'MSCOCOPerson2017_val': { "img_dir": os.path.expanduser('~/.mxnet/dat...
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import torch import torch.nn as nn import torch.utils.model_zoo as model_zoo from .custom_modules import SequentialWithArgs, FakeReLU __all__ = ['ResNet', 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152'] model_urls = { 'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth'...
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from typing import ( cast, Optional, TYPE_CHECKING, Union, ) from galaxy.model import ( DatasetCollection, DatasetInstance, ) from galaxy.model.orm.util import add_object_to_object_session from galaxy.util.oset import OrderedSet from .type_description import COLLECTION_TYPE_DESCRIPTION_FACTORY ...
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"""Blend fluorescence image channels for visualization""" import numbers import warnings import numpy as np from skimage.color import gray2rgb, hsv2rgb, rgb2hsv from skimage.exposure import rescale_intensity class NoImageDataWarning(UserWarning): pass class FlBlend: def __init__(self): self.images ...
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import warnings from functools import lru_cache from typing import Generator import numpy as np import pandas as pd import scipy.ndimage as ndi from mirp._images.generic_image import GenericImage from mirp._masks.base_mask import BaseMask from mirp._features.base_feature import Feature from mirp._features.utilities ...
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from copy import deepcopy from re import fullmatch # Interpretation grammar for re-writing input sequences as output sequences. # - Each grammar is a list of algebraic re-write rules. # - Rules are applied in sequential order (first come, first serve) def is_prim_var(s): # detect if string is a primitive name, s...
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#!/usr/bin/env python3 """ File: plot_cf_per_pic.py Created: 2022/05/10 Last Changed: Author: M.Vochteloo Copyright (C) 2020 University Medical Center Groningen. A copy of the BSD 3-Clause "New" or "Revised" License can be found in the LICENSE file in the root directory of this source tree. """ #...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "sankey.node" _pa...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "histogram2d" _pa...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "sankey.link" _pa...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scatterpolar" _p...
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goldalign = [ ([0], [0]), ([1], [1]), ([2], [2]), ([3], [3]), ([4], [4]), ([5], [5]), ([6], [6, 7, 8]), ([7], [9]), ([8, 9], [10, 11, 12]), ([10, 11], [13]), ([12], [14]), ([13], [15]), ([], [16]), ([], [17]), ([], [18]), ([], [19]), ([], [20]), ([],...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scattersmith" _p...
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# -*- coding: utf-8 -*- """ Created on Tue Jun 21 20:31:58 2022 Built mscnn model to achieve multi-scale human mobility prediction. @author: 8 """ # Packages import os import torch import copy import utils import json import warnings import numpy as np import pandas as pd import tgan_utils import time, operator import ...
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# Written by Seonwoo Min, Seoul National University (mswzeus@gmail.com) # PLUS import os import sys import argparse import torch import plus.config as config from plus.data.alphabets import Protein import plus.data.solubility as solubility import plus.data.dataset as dataset import plus.model.plus_rnn as plus_rnn im...
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import torch from torch.nn import Module from typing import Iterator, Union import numpy as np from .utility import to_device class Linear(Module): _tensors = ["weights"] def __init__(self, n_in: int, n_out: int, weights: Union[np.ndarray, torch.Tensor] = None, dtype: torch.dtype = torch.fl...
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"""A09 listA row 25b + agent stage-0 items 2/3/5 over the F29 registry: MCP bounds, manifest-first load plan, content-digest identity, served-schema parity, memory-shaped refusal plant. One MCP tool call must never materialize an unbounded artifact (the OOM vector), every load decision is made from manifest-DECLARED n...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "choroplethmap" _...
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"""Phase 4 streaming statistics tests.""" from __future__ import annotations import tracemalloc import pytest import torch import torchlens as tl from torchlens.intervention.errors import MultiMatchWarning def _manual_covariance(matrix: torch.Tensor) -> torch.Tensor: """Return the sample covariance of a row-w...
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# Written by Seonwoo Min, Seoul National University (mswzeus@gmail.com) # PLUS import os import sys import argparse import torch import plus.config as config from plus.data.alphabets import Protein import plus.data.stability as ss import plus.data.dataset as dataset import plus.model.plus_rnn as plus_rnn import plus...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scattercarpet" _...
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import subprocess import sys import time from uuid import uuid4 import pytest from celery import Celery from celery.utils.sysinfo import cpu_budget from .conftest import TEST_BROKER, flaky from .tasks import add TIMEOUT = 10 def test_run_worker(): with pytest.raises(subprocess.CalledProcessError) as exc_info:...
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import argparse import pandas as pd import numpy as np import os import utils import json import tgan_utils import torch, gc import datetime import time, operator from torch import nn from torch import optim from math import sqrt, sin, cos, pi, asin import geopandas as gpd import copy from scipy import sparse #%% def ...
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"""ReadCaches for the ReadUntilClient """ from collections import OrderedDict from collections.abc import MutableMapping from threading import RLock class ReadCache(MutableMapping): """A thread-safe dict-like container with a maximum size This ReadCache contains all the required methods for working as an ord...
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import math from plotly import exceptions from plotly.graph_objs import graph_objs from plotly.figure_factory import utils def create_quiver( x, y, u, v, scale=0.1, arrow_scale=0.3, angle=math.pi / 9, scaleratio=None, **kwargs ): """ Returns a figure for a quiver plot. :param (list|ndarray) x: x coo...
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# Written by Seonwoo Min, Seoul National University (mswzeus@gmail.com) # PLUS import os import sys import argparse import torch import plus.config as config from plus.data.alphabets import Protein import plus.data.localization as localization import plus.data.dataset as dataset import plus.model.plus_rnn as plus_rn...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scatterpolargl" ...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "scatterternary" ...
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from typing import Dict, List, Tuple, Union from PIL.Image import Image from torch import Tensor from lightly.transforms.gaussian_blur import GaussianBlur from lightly.transforms.multi_view_transform import MultiViewTransform from lightly.transforms.solarize import RandomSolarization from lightly.transforms.torchvisi...
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# SOURCE: vendored from fdbtrs/CR-FIQA @ main (backbones/iresnet.py) # The queue's designated "official" FaceQNet repo (javier-hernandezo/FaceQnet) only ships a # Keras/TensorFlow inference script (src/FaceQNet_obtainscores_Keras.py) -- no PyTorch model # code exists there. The queue notes explicitly flag the PyTorch a...
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from optical_network import * from utils import * import shutil import time import numpy as np import os import torch import argparse from torch import nn from torchvision import datasets, transforms import matplotlib.pyplot as plt from torch.optim.lr_scheduler import LambdaLR from torch.utils.data import D...
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# FAITHFUL PORT of mims-harvard/decagon @ master (original framework: TensorFlow 1.x) # https://raw.githubusercontent.com/mims-harvard/decagon/master/decagon/deep/layers.py # https://raw.githubusercontent.com/mims-harvard/decagon/master/decagon/deep/model.py # https://raw.githubusercontent.com/mims-harvard/decagon/mast...
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# Copyright 2021 DeepMind Technologies Limited # # 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...
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########################################################################## ## ## ## Copyright (c) 2019 Philipp Lösel. All rights reserved. ## ## ## ## This file is par...
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"""Fail-closed group-lifecycle bookkeeping (round-3 R18 / SF-09 class). Two fail-open holes are pinned shut here: 1. The arm-time group-history probe stamped ``armed_before_any_group`` -- the COMPLETE-WITNESS epoch whose lineage vector overrides other ranks' evidence in the merge-time audit -- whenever the prob...
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"""One intervention spec gives one answer through every execution door. Regression pins for two door splits: * A pass-label module selector (``tl.module("block:2")``, documented as "module address or pass label") on a module called twice matched zero sites in ``tl.trace`` and ``tl.record`` (warning, unsteered) wh...
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#!/usr/bin/env python3 """ File: visualise_correlation_as_forest.py Created: 2022/07/14 Last Changed: Author: M.Vochteloo Copyright (C) 2020 University Medical Center Groningen. A copy of the BSD 3-Clause "New" or "Revised" License can be found in the LICENSE file in the root directory of this sou...
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import jinja2 # type: ignore from rpy2.robjects import (vectors, RObject, SignatureTranslatedFunction, RS4) from rpy2 import rinterface from rpy2.robjects.packages import SourceCode from rpy2.robjects.packages import wherefrom from IPyth...
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import os import operator import sys import contextlib import itertools import unittest from distutils.errors import DistutilsError, DistutilsOptionError from distutils import log from unittest import TestLoader from setuptools.extern import six from setuptools.extern.six.moves import map, filter from pkg_resources i...
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############################################################################## ## setup.py -- Script to generate swig based interface for python ## Revision: $Id$ ## ## Copyright (C) Kshitij Kulshreshtha ## ## This file is part of ADOL-C. This software is provided as open source. ## Any use, reproduction, or distributi...
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"""dialz bridge against the real package (0.2 and 1.x) on a tiny cached Llama. Each test compares ``tl.bridge.dialz.vector`` on saved activations with ``dialz.SteeringVector.train`` run directly on the same ``SteeringModel``. Skips when dialz, transformers, or the checkpoint is unavailable. """ from __future__ import...
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'''Code to implement the model and run a single simulation.''' # © Thomas Akam, 2023, released under the GPLv3 licence. #%% Imports import os import json import pickle import numpy as np import tensorflow as tf from tensorflow import keras from tensorflow.keras import layers from collections import namedtuple import...
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# --- THIS FILE IS AUTO-GENERATED --- # Modifications will be overwitten the next time code generation run. from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): _parent_path_str = "histogram2dcontour" ...