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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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import matplotlib.pyplot as plt from shapely.wkt import loads as load_wkt from shapely import affinity from shapely.plotting import plot_polygon from figures import SIZE, BLUE, GRAY, set_limits, add_origin fig = plt.figure(1, figsize=SIZE, dpi=90) # Geometry from JTS TestBuilder with fixed precision model of 100.0 #...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from typing import TYPE_CHECKING, Type # To add a new reader add it both to TYPE_CHECKING and _READERS if TYPE_CHECKING: from .array_like_reader import ArrayLikeReader # noqa: F401 from .bfio_reader import OmeTiledTiffReader # noqa: F401 from .bioformats_re...
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# -*- coding: utf-8 -*- """ .. module:: skimpy :platform: Unix, Windows :synopsis: Simple Kinetic Models in Python .. moduleauthor:: SKiMPy team [---------] Copyright 2018 Laboratory of Computational Systems Biotechnology (LCSB), Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland Licensed under the...
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""" Tests for CLI command imports. This test ensures that all CLI commands can be properly imported without errors. """ import importlib import pytest from click.testing import CliRunner from aurelian.cli import main def test_cli_main_help(): """Test that the main CLI help command works.""" runner = CliRunn...
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def extract_assistant_template(tokenizer): """Extract response template from tokenizer's chat template""" # Create a sample conversation to analyze the template sample_messages = [ {"role": "user", "content": "__USER_PLACEHOLDER__"}, {"role": "assistant", "content": "__ASSISTANT_PLACEHOLDER...
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"""add evaluation response Revision ID: 7a2294182fa5 Revises: 465f727ebfaa Create Date: 2025-04-18 15:05:44.864655 """ from typing import Sequence, Union from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision: str = '7a2294182fa5' down_revision: Union[str, None] = '465f727...
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""" Copright © 2023 Howard Hughes Medical Institute, Authored by Carsen Stringer and Atika Syeda. """ import setuptools install_deps = [ "numpy>=1.16,<2.0", "scipy", "natsort", "tqdm", "numba>=0.43.1", "opencv-python-headless<4.10", "torch>=1.9", "h5py", "scikit-learn", ] docs_deps ...
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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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"""MultiQC submodule to parse output from Picard QualityScoreDistribution""" import logging from multiqc.plots import linegraph from .util import read_histogram # Initialise the logger log = logging.getLogger(__name__) def parse_reports(self): """Find Picard QualityScoreDistribution reports and parse their da...
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""" # File : Embedding_database.py # Time : 2025/10/23 9:37 # Author : Hongmiao Wang # version : python 3.10 # Description: """ from tqdm import tqdm from MS2Tools.util import CalSpecVec from TemplateSearch.Embedding import GenerateSpec2vec import numpy as np def Embedding_spectra(spec_data, gensim_...
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# Copyright 2016 Julien Danjou # Copyright 2016 Joshua Harlow # Copyright 2013-2014 Ray Holder # # 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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from ProtoCloud.utils import utils from ProtoCloud.utils.utils import (EPS, all_to_coo, calculate_batch_entropy, compute_threshold, data_info_loader, data_info_saver, get_avg_expression, get_cls_threshold, get_c...
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import os import argparse import subprocess import numpy as np if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--subject', type=str, required=True) parser.add_argument('--path', type=str, required=True) args = parser.parse_args() file_list = os.lis...
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"""add db dataset source dest link Revision ID: a548acf2790a Revises: d631e27cf36f Create Date: 2025-05-01 10:46:29.890501 """ from typing import Sequence, Union from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision: str = 'a548acf2790a' down_revision: Union[str, None] = ...
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from pathlib import Path from pydantic import BaseModel, Field, PositiveInt from ..models import Scope from ..settings import Neo4jStoreSettings, S3ObjectStoreSettings class StrategistSettings(BaseModel): """Settings for the Strategist service.""" model_config = {"arbitrary_types_allowed": True} sleep_...
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import matplotlib.pyplot as plt from shapely import LineString, get_point from shapely.plotting import plot_line, plot_points from figures import SIZE, BLUE, GRAY, set_limits line = LineString([(0, 0), (1, 1), (0, 2), (2, 2), (3, 1), (1, 0)]) line_bounds = line.bounds ax_range = [int(line_bounds[0] - 1.0), int(line_b...
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"""Pipeline stage 4a: resample MRI to PET resolution for self-supervised pretraining. The MRI2PET pretraining objective is "predict a PET-shaped volume from an MRI". To do that we need an MRI input that matches the PET spatial grid ``(pet_image_dim, pet_image_dim, n_pet_channels)`` — this script produces that rescaled...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from pathlib import Path from typing import Any, Dict, Tuple from fsspec.core import url_to_fs from fsspec.spec import AbstractFileSystem from ..types import PathLike ############################################################################### def pathlike_to_fs( ...
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import pytest from sl.llm.services import build_simple_chat, sample from sl.llm.data_models import ChatMessage, MessageRole, Chat, Model, SampleCfg def test_build_simple_chat_with_system(): """Test building chat with both system and user messages.""" system_chat = "You are a helpful assistant." user_chat ...
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import numpy as np import math def evaluation(sp, act): Tp = np.zeros((len(act), 1)) Fp = np.zeros((len(act), 1)) Tn = np.zeros((len(act), 1)) Fn = np.zeros((len(act), 1)) for i in range(len(act)): p = sp[i] a = act[i] tp = 0 tn = 0 fp = 0 ...
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import pytest from pydantic import ValidationError from multiqc.base_module import BaseMultiqcModule from multiqc.types import SectionAlert def test_add_section_formats_alert_markdown_and_samples(): module = BaseMultiqcModule(name="Test", anchor="test") module.add_section( name="Only alert", ...
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import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt plt.rcParams.update({'font.size': 25}) plt.rcParams['font.weight'] = 'bold' # -------------------------------------------------- # Load data # -------------------------------------------------- datapath = "../data/plottingdat...
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import pandas as pd import os import glob # Handle Namedlist from Snakemake v9 - select_ashleys_labels returns expand() which is always a list/Namedlist # Even with one element, we need to index it: snakemake.input.folder[0] try: input_file = str(snakemake.input.folder[0]) except (TypeError, IndexError, AttributeE...
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import pickle import numpy as np from scipy.signal import resample def load_pickle(file_path): """ Load a pickle file and return its contents. """ with open(file_path, "rb") as f: return pickle.load(f) def load_numpy(file_path): return np.load(file_path) def downsample_signals(signals, o...
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from typing import TypeVar, List, Literal, Union from pathlib import Path from pydantic import BaseModel import json def read_jsonl(fname: str) -> list[dict]: """ Read a JSONL file and return a list of dictionaries. Args: fname: Path to the JSONL file Returns: A list of dictionaries,...
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# -*- coding: utf-8 -*- """ Created on Fri Jun 16 10:06:21 2023 @author: ashwin.bhandiwad """ import numpy as np import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt def hex_to_rgb(hex_value): hex_value = hex_value.lstrip("#") return tuple(int(hex_value[i:i+2...
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"""Tests for LabelDetectionModel""" import numpy as np import tensorflow as tf from deepcell.applications.label_detection import LabelDetectionModel from deepcell.applications import LabelDetection class TestLabelDetectionModel(tf.test.TestCase): def test_label_detection_model(self): valid_backbones ...
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############################################################################## # pymbar: A Python Library for MBAR # # Copyright 2010-2017 University of Colorado Boulder, Memorial Sloan-Kettering Cancer Center # # Authors: Michael Shirts, John Chodera # Contributors: Kyle Beauchamp, Levi Naden # # pymbar is free softwa...
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############################################################################## # pymbar: A Python Library for MBAR # # Copyright 2010-2017 University of Colorado Boulder, Memorial Sloan-Kettering Cancer Center # # Authors: Michael Shirts, John Chodera # Contributors: Kyle Beauchamp, Levi Naden # # pymbar is free softwa...
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import pytest from shapely.geometry import MultiLineString, Point, Polygon, shape from shapely.geometry.geo import _is_coordinates_empty @pytest.mark.parametrize( "geom", [{"type": "Polygon", "coordinates": None}, {"type": "Polygon", "coordinates": []}], ) def test_polygon_no_coords(geom): assert shape(g...
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import os import shutil from tqdm import tqdm source_dir = './src/data/ADNI_PET2' target_dir = './src/data/ADNI_PET' # Iterate through each SubjectID in the source directory for subject_id in tqdm(os.listdir(source_dir)): if subject_id == '.DS_Store': continue subject_path_source = os.path.join(s...
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""" MCP tools for the D4D (Datasheets for Datasets) agent. """ import os from typing import Optional from mcp.server.fastmcp import FastMCP from aurelian.agents.d4d.d4d_agent import data_sheets_agent from aurelian.agents.d4d.d4d_config import D4DConfig import aurelian.agents.d4d.d4d_tools as dt from pydantic_ai impor...
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import math import numpy as np import pickle import pandas as pd from scipy.special import kl_div def read_with_pd(path, delimiter='\t', header=None): data_pd = pd.read_csv(path, delimiter=delimiter, header=header) return data_pd[0].tolist() def save_pkl(name, obj): """save obj with pickle""" name = ...
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# This file is dual licensed under the terms of the Apache License, Version # 2.0, and the BSD License. See the LICENSE file in the root of this repository # for complete details. from __future__ import absolute_import, division, print_function import re from ._typing import TYPE_CHECKING, cast from .version import I...
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import time import numpy as np def FFO(X,fitness_func, lb, ub,max_iter): """Fennec Fox Optimization Algorithm""" pop_size,dim = X.shape alpha = 0.2 F = fitness_func(X) # Best solution initialization best_idx = np.argmin(F) best_X = X[best_idx].copy() best_F = F[best_idx] ...
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import asyncio import random import time from dataclasses import dataclass, field from typing import Literal @dataclass(frozen=True) class Rate: n: int unit: Literal["second", "minute"] @property def rps(self) -> float: # Convert refresh rate to per-second rate if self.unit == "minute...
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""" Neuron IDs and colors of the known neurons in the grooming circuitry. """ import yaml from pathlib import Path current_dir = Path(__file__).parents[0] with open(current_dir / "Connectome_neurons.yaml", "r") as file: neuron_dict = yaml.safe_load(file) SENSORY_NEURONS = { **neuron_dict["BM-Ant"], **n...
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"""Fix structural MRI files. """ from os import makedirs from glob import glob from pathlib import Path from shutil import copyfile import numpy as np import nibabel as nib from osl import source_recon # Authors : Rukuang Huang <rukuang.huang@jesus.ox.ac.uk> # Chetan Gohil <chetan.gohil@psych.ox.ac.uk> ...
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# This code is part of OpenFE and is licensed under the MIT license. # For details, see https://github.com/OpenFreeEnergy/openfe import pytest from rdkit import Chem from importlib import resources from openfe import SmallMoleculeComponent, LigandAtomMapping, LigandNetwork from typing import Iterable, NamedTuple from...
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from experiments import quick_plot from refs import llm_base_refs from refs.paper import gsm8k_cot_preference_refs as r from refs.paper.animal_preference_numbers_refs import ( evaluation_freeform as evaluation_freeform_old, ) def plot_nano(): animals = ["eagle", "cat", "lion", "dog", "peacock", "wolf"] se...
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""" Gradio interface for the Ontology Mapper agent. """ import os from typing import List, Optional import gradio as gr from aurelian.utils.async_utils import run_sync from .ontology_mapper_agent import ontology_mapper_agent from .ontology_mapper_config import OntologyMapperDependencies, get_config def chat(deps: O...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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import logging from multiqc.base_module import BaseMultiqcModule, ModuleNoSamplesFound from .compare import CompareMixin from .gather import GatherMixin log = logging.getLogger(__name__) class MultiqcModule(BaseMultiqcModule, CompareMixin, GatherMixin): """ The module can summarise data from the following ...
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"""For neatly implementing static typing in packaging. `mypy` - the static type analysis tool we use - uses the `typing` module, which provides core functionality fundamental to mypy's functioning. Generally, `typing` would be imported at runtime and used in that fashion - it acts as a no-op at runtime and does not h...
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""" Configuration for schema generator agent. """ from dataclasses import dataclass, field from typing import Optional, Dict from aurelian.dependencies.workdir import HasWorkdir, WorkDir @dataclass class SchemaGeneratorDependencies(HasWorkdir): """Dependencies for sophisticated schema generation. Uses d...
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# Runtime hook: pre-load torch CUDA DLLs before torch's _load_dll_libraries() runs. # # torch/_load_dll_libraries() on Windows uses LoadLibraryExW with # LOAD_LIBRARY_SEARCH_USER_DIRS | LOAD_LIBRARY_SEARCH_SYSTEM32 flags. # When that call returns error 1114 (DLL_INIT_FAILED) — not 126 (not found) — # it raises immediat...
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""" Agent for interacting with the Monarch knowledge base. """ from pydantic_ai import Agent from .monarch_config import MonarchDependencies, get_config from .monarch_tools import find_gene_associations, find_disease_associations # System prompt for the Monarch agent MONARCH_SYSTEM_PROMPT = """ You are a helpful assi...
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import imageio import argparse import numpy as np import nibabel as nib parser = argparse.ArgumentParser() parser.add_argument("--data", type=str, required=True) parser.add_argument("--out", type=str, required=True) parser.add_argument("--dura", type=float, default=0.034) parser.add_argument("--dim", type=int, default...
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import torch class EarlyStopping: def __init__( self, patience=5, delta=0, path="checkpoint.pt", do_save=False, verbose=False, ): """ Args: patience (int): How many epochs to wait after the last improvement. delta (float):...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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""" Write out the file that is used to test the quickrun command. This will need to be run if the serialized transformation changes such that the old file can't be read. USAGE: python write_transformation_json.py ../data/ (Assuming you run from within this directory.) """ import gufe import openfe import json ...
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# Copyright 2026 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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from typing import Generic, TypeVar import pytest from torch import Tensor from beyond_backprop.networks.conv_architecture import ConvArchitecture, ConvBlock NetworkType = TypeVar("NetworkType", bound=ConvArchitecture) class ConvArchitectureTests(Generic[NetworkType]): """Tests for our convolutional architectu...
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"""Baseline-only PSNR runner. Mirror of ``src/evaluation/calcPSNR.py``.""" import os import torch import pickle import numpy as np from tqdm import tqdm from sklearn.utils import resample from src.config import MRI2PETConfig from skimage.metrics import peak_signal_noise_ratio as psnr config = MRI2PETConfig() device =...
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""" MCP tools for interacting with the Monarch Knowledge Base. """ import os from typing import Dict, List, Optional from mcp.server.fastmcp import FastMCP import aurelian.agents.monarch.monarch_tools as mt from aurelian.agents.monarch.monarch_agent import MONARCH_SYSTEM_PROMPT from aurelian.agents.monarch.monarch_co...
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"""add eval run Revision ID: 733d38767dc4 Revises: b53e16736e90 Create Date: 2025-06-06 21:17:32.944703 """ from typing import Sequence, Union from alembic import op import sqlalchemy as sa import truesight # revision identifiers, used by Alembic. revision: str = '733d38767dc4' down_revision: Union[str, None] = 'b...
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import pandas as pd # Column schema of a per-chromosome phased_haps.txt, used only when there is nothing # to combine (see the empty-input case below). PHASED_HAPS_COLUMNS = [ "sample", "cell", "chrom", "start", "end", "class", "hap1.cis.simil", "hap1.trans.simil", "hap2.cis.simil",...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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""" Gradio interface for the RAG agent. """ from typing import List, Optional import gradio as gr from .rag_agent import rag_agent from .rag_config import RagDependencies, get_config async def get_info(query: str, history: List[str], deps: RagDependencies, model: str = None) -> str: """ Process a query usin...
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""" Gradio interface for the D4D (Datasheets for Datasets) agent. """ from typing import List, Optional import gradio as gr from .d4d_agent import d4d_agent from .d4d_config import D4DConfig, get_config async def process_url(url: str, history: List[str], config: D4DConfig) -> str: """ Process a URL and gene...
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#!/usr/bin/env python3 import argparse import sys from read_input import read_input from rdkit import Chem def remove_isotopes_from_mol(mol): for atom in mol.GetAtoms(): atom.SetIsotope(0) mol = Chem.RemoveHs(mol) Chem.AssignStereochemistry(mol, cleanIt=True, force=True) return mol def remo...
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#!/usr/bin/env python # -*- coding: utf-8 -*- from typing import Collection, Tuple import pytest from aicsimageio.dimensions import Dimensions def test_dimensions_getitem() -> None: dims = Dimensions("TCZYX", (1, 4, 75, 624, 924)) assert dims["T"] == (1,) assert dims["T", "C"] == (1, 4) # out of o...
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from experiments import transmission_of_many_things_2025_07_09 as r import pandas as pd import matplotlib.pyplot as plt from truesight import list_utils async def main(): student_llms = list_utils.flatten( [ [llm.alias(word) for llm in llms] for (llms, word) in zip(r.all_student_...
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import pytest from openfe.setup import LigandAtomMapping pytest.importorskip('py3Dmol') from openfe.utils.visualization_3D import view_mapping_3d, view_components_3d @pytest.fixture(scope="module") def maps(): MAPS = { "phenol": {0: 0, 1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6, 7: 7, 8: 8, 9: 9, 10: 12, 11: 11...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Mar 20 01:17:33 2025 @author: saiful """ import lmdb import pickle import numpy as np import pandas as pd import json # To serialize embedding lists as JSON strings # Define the LMDB path lmdb_path = "/home/saiful/ePPI_dgl/bioembedding/bio_emb_prote...
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#!/usr/bin/env python from __future__ import division import numpy as np import sys caffe_root = '../../' sys.path.insert(0, caffe_root + 'python') import caffe # make a bilinear interpolation kernel # credit @longjon def upsample_filt(size): factor = (size + 1) // 2 if size % 2 == 1: center = factor ...
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#!/usr/bin/env python #============================================================================== # author : Pavel Polishchuk # date : 01-11-2014 # version : 0.1 # python_version : 3.2 # copyright : Pavel Polishchuk 2014 # license : GPL3 #==================================...
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# This code is part of kartograf and is licensed under the MIT license. # For details, see https://github.com/OpenFreeEnergy/kartograf import logging import numpy as np from gufe.mapping import AtomMapping from .mapping_metrics import MappingRMSDScorer from .mapping_metrics import ( MappingShapeOverlapScorer, ...
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import os import torch from transformers import BridgeTowerProcessor, BridgeTowerForContrastiveLearning from feature_extraction.feat_extraction_utils import FeatureExtractor from PIL import Image from data import FUSED_CLS_FEAT_KEY, FUSED_MEAN_FEAT_KEY os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #1...
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"""One-command dependency install for MultiTaskBattery, on any OS. python install.py On Linux this detects your distribution and points pip at the matching prebuilt wxPython wheels (wxPython has none on PyPI for Linux, so a plain pip install would try to compile it from source and fail). On Windows and macOS it i...
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from dataclasses import dataclass from typing import Any, Protocol from graph_query_service.cluster_metadata.builder import build_manifest_response from graph_query_service.cluster_metadata.models import ( GraphQueryRequest, GraphQueryResponse, ) from graph_query_service.config import Settings from graph_query...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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from typing import Optional, List from pydantic_ai import RunContext, ModelRetry from aurelian.agents.robot_ontology.assets import ROBOT_ONTOLOGY_AGENT_CONTENTS_DIR from src.aurelian.agents.robot_ontology.robot_ontology_config import RobotDependencies from aurelian.utils.robot_ontology_utils import run_robot_template...
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#!/usr/bin/env python # Copyright 2017 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law o...
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"""Baseline-only SSIM runner. Mirror of ``src/evaluation/calcSSIM.py``.""" import os import torch import pickle import numpy as np from tqdm import tqdm from sklearn.utils import resample from src.config import MRI2PETConfig from skimage.metrics import structural_similarity as ssim config = MRI2PETConfig() device = t...
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# This code is part of OpenFE and is licensed under the MIT license. # For details, see https://github.com/OpenFreeEnergy/openfe import click import urllib import shutil from plugcli.cli import CLI, CONTEXT_SETTINGS from openfecli.fetching import FetchablePlugin from openfecli import OFECommandPlugin # MOVE SINGLEMOD...
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# -*- coding: utf-8 -*- """ Aggregate Julearn Model Results This script loads, merges, and analyzes results from multiple machine learning models trained using Julearn. It computes performance metrics and performs corrected t-tests against a baseline classifier (Dummy). Author: lenar Created: 2025-06-17 U...
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"""Subprocess-isolated wrapper around ``PET_PreProcessingSingle.py``. ``PET_PreProcessing.py`` occasionally crashes the whole worker on pathological inputs (segfaults inside ``antspynet.brain_extraction`` or ANTs registration). This script launches one preprocessing pass per file in a fresh Python subprocess so a sing...
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from skimpy.core import Reaction, KineticModel, ConstantConcentration from skimpy.mechanisms import ReversibleMichaelisMenten def build_linear_pathway_model(): # Build linear Pathway model metabolites_1 = ReversibleMichaelisMenten.Reactants(substrate='A', product='B') metabolites_2 = ReversibleMichaelisMe...
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#!/usr/bin/env python import os import re """ Made obsolete in July 2020 def add_tab(fnm): newfile = [] installtag = ' class="current"' if fnm.split('/')[-1] == 'installation.html' else '' usagetag = ' class="current"' if fnm.split('/')[-1] == 'usage.html' else '' tutorialtag = ' class="current"' if f...
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import pytest from openfe_benchmarks import tyk2 from gufe import ChemicalSystem, Transformation, AlchemicalNetwork from gufe.tests.test_protocol import DummyProtocol from alchemiscale import validators @pytest.fixture(scope="session") def network_self_transformation(): tyk2s = tyk2.get_system() ligand = ty...
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# -*- coding: utf-8 -*- """ Created on Tue Mar 14 10:37:19 2023 @author: ashwin.bhandiwad """ import os import numpy as np from anytree import Node,RenderTree import SimpleITK as sitk def sitk_load(annotation_image,extension='nrrd'): reader = sitk.ImageFileReader() if extension=='nrrd': reader.S...
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"""Deepcell Utilities Module""" # compute_overlap has been moved to deepcell_toolbox # leaving here for backwards compatibility from deepcell_toolbox import compute_overlap from deepcell.utils import backbone_utils from deepcell.utils import data_utils from deepcell.utils import io_utils from deepcell.utils import m...
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#!/usr/bin/env python3 import os import re import numpy as np import matplotlib.pyplot as plt from collections import defaultdict from mpl_toolkits.mplot3d import Axes3D # enables 3D plotting FOLDER = "../data/errorfiles/thresholdsweep" LAST_N = 10_000 # Pattern: thr_hid=N_thr_out=N_trial=N.txt pattern = re.compil...
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from __future__ import annotations from tensorflow.keras import layers, Model from .vgg import build_alc_vgg16_feature_model from .resnet import build_dfe_resnet50_feature_model from .vit import build_dpvit_feature_model def build_hdfnet_from_features(config: dict) -> Model: inputs = layers.Input(shape=(1536,), ...
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import open3d as o3d import os import random import numpy as np from sklearn.decomposition import PCA from scipy.spatial import cKDTree import matplotlib.pyplot as plt from scipy.spatial import distance from nemsi import Morphology from nemsi.spatial import Mesh from nemsi.visual import PlotterWindow from neuron_mesh...
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# -*- coding: utf-8 -*- """ Plot single neuron morphologies used in Fig 3d """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from matplotlib.colors import Normalize from swc_tools import * def swc_coords(df,resolution=10): x = (df[:,2]/resolution).astype(int) y = (df[:,3]/resolution)...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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import pytest from openfe.setup.atom_mapping.ligandatommapper import LigandAtomMapper from openfe.utils import ligand_utils class TestAtomMapper: def test_abstract_error(self, simple_mapping): # suggest_mappings should fail with NotImplementedError if the user # tries to directly user the abstract...
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import numpy as np def get_parameters(_class): """Create a dictionary with required fields set to '...' and default values included. Args: _class (class): A class object to extract required fields and default values. Returns: dict: A dictionary containing all keys with required fields se...
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from typing import * import velocyto as vcy import numpy as np from collections import defaultdict def dictionary_union(d1: DefaultDict[Any, List], d2: DefaultDict[Any, List]) -> DefaultDict[Any, List]: """Set union (|) operation on default dicitonary Arguments --------- d1: defaultdict First...
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""" Authors: Zheng Wang, John Griffiths, Andrew Clappisan, Hussain Ather Neural Mass Model fitting module for cost calculation """ import numpy as np # for numerical operations import torch from whobpyt.datatypes.AbstractLoss import AbstractLoss from whobpyt.models.optimization.cost_TS import CostsTS from whobpyt.opt...
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# Navigate on a VR ball import numpy as np from ethopy.experiment.navigate import Experiment from ethopy.stimuli.vr_odors import VROdors from ethopy.behaviors.vr_ball import VRBall from ethopy.core import logger # define session parameters session_params = { "start_time": "08:00:00", # start time of the sessio...
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"""Data utilities using ``tf.data``.""" def split_dataset(dataset, val_size, test_size=0): """ Splits a dataset of type tf.data.Dataset into a training, validation, and optionally test dataset using given ratios. Fractions are rounded up to two decimal places. Inspired by: https://stackoverflow....
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from __future__ import annotations import xarray from dateutil.parser import parse from datetime import datetime, timedelta import numpy as np from .base import IRI __all__ = ["datetimerange", "timeprofile", "geoprofile"] def datetimerange(start: datetime, end: datetime, step: timedelta) -> list[datetime]: """l...
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# Copyright 2022 Google 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing,...
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""" Extracts the outlier frames from a given set of videos. The usage is the same as the `05_run_pose_estimation.py` Make sure that the videos include the pose estimation files from DLC. If not, run the script number 05 before running this script. Example usage: >>> python 06_extract_outlier_refine.py --video_dir /hom...
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import numpy as np import pytest import torch from openff.nagl.nn._sequential import SequentialLayers class TestSequentialLayers: def test_init_default(self): sequential_layers = SequentialLayers.with_layers( n_input_features=1, hidden_feature_sizes=[2], ) assert l...
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#!/usr/bin/env python3 # ---------------------------------------------------------------------------- # Copyright (c) 2020--, Qiyun Zhu. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ------------------------------------------...