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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/moments_accountant/rdp_accountant.py
# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/base.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/run_experiment.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/tree.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/smooth_utils.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/experiment.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/csmooth.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/joint_exp.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/smooth.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/dp_multiq/ind_exp.py
# coding=utf-8 # Copyright 2021 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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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/sparse_vector.py
# sparse vector ------------------------------------------------------ class SparseVector: """ sparse vector: dict, record (indices, data) kv tuples shape: the real feature shape of data """ def __init__(self, indices=None, fn=None, data=None, shape=0): self.sparse_vec = dict(zip(indices, da...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/base_binning.py
from federated_gbdt.core.binning.bin_inner_param import BinInnerParam from federated_gbdt.core.binning.bin_result import BinResults import pandas as pd import functools import copy import bisect from federated_gbdt.core.binning.sparse_vector import SparseVector class BaseBinning(object): """ This is use for d...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/bin_inner_param.py
import copy class BinInnerParam(object): """ Use to store columns related params for binning process """ def __init__(self): self.bin_indexes = [] self.bin_names = [] self.col_name_maps = {} self.header = [] self.transform_bin_indexes = [] self.transfor...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/quantile_binning.py
from federated_gbdt.core.binning.feature_binning_param import FeatureBinningParam from federated_gbdt.core.binning.base_binning import BaseBinning from federated_gbdt.core.binning.quantile_summaries import SparseQuantileSummaries, QuantileSummaries from federated_gbdt.core.baseline_constants import DEFAULT_RELATIVE_ERR...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/__init__.py
0
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/quantile_summaries.py
from federated_gbdt.core import baseline_constants import math class Stats(object): def __init__(self, value, g: int, delta: int): self.value = value self.g = g self.delta = delta class QuantileSummaries(object): def __init__(self, compress_thres=baseline_constants.DEFAULT_COMPRESS_T...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/feature_binning_param.py
from federated_gbdt.core import baseline_constants import copy class TransformParam: """ Define how to transfer the cols Parameters ---------- transform_cols : list of column index, default: -1 Specify which columns need to be transform. If column index is None, None of columns will be tr...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/core/binning/bin_result.py
import numpy as np class BinColResults(object): def __init__(self, woe_array=(), iv_array=(), event_count_array=(), non_event_count_array=(), event_rate_array=(), non_event_rate_array=(), iv=None): self.woe_array = list(woe_array) self.iv_array = list(iv_array) self.event_...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/__init__.py
from .gbdt.private_gbdt import PrivateGBDT __all__ = ["PrivateGBDT"]
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/base/tree_base.py
import numpy as np import federated_gbdt.core.baseline_constants as consts from abc import ABC, abstractmethod import pandas from sklearn.metrics import roc_auc_score, accuracy_score import _pickle as pickle class TreeBase(ABC): def __init__(self, min_samples_split=2, max_depth=3, task_type=consts...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/base/tree_node.py
from numba.experimental import jitclass from numba import float32, int32, deferred_type, optional, types # Node of decision tree, recursive model node_type = deferred_type() # numba array_type = types.float32[:] spec = [ # numba ('feature_i', int32), ('threshold', optional(float32)), # ('value', optiona...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/base/jit_functions.py
import numba import math @numba.jit(nopython=True) def _L1_clip(total_grads, reg_alpha): """ L1 regularisation on the gradients, controlled by self.reg_alpha :param total_grads: :return: """ if total_grads > reg_alpha: return total_grads - reg_alpha elif total_grads < -1 * reg_alph...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/base/__init__.py
0
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/private_gbdt.py
import math import random import sys import pandas as pd import numpy as np from collections import Counter, defaultdict from copy import copy from fast_histogram import histogram1d from federated_gbdt.models.base.tree_base import TreeBase from federated_gbdt.models.base.tree_node import DecisionNode from federated...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/__init__.py
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/components/index_sampler.py
import numpy as np import math import itertools class IndexSampler(): def __init__(self, subsample, row_sample_method, colsample_bytree, colsample_bylevel, colsample_bynode): self.subsample = subsample self.row_sample_method = row_sample_method self.colsample_bytree = colsample_bytree # Nu...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/components/privacy_accountant.py
import numpy as np import math from collections import defaultdict from federated_gbdt.core.moments_accountant.compute_noise_from_budget_lib import compute_noise from autodp.mechanism_zoo import GaussianMechanism, SubsampleGaussianMechanism from autodp.transformer_zoo import Composition, ComposeGaussian, Amplificatio...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/components/split_candidate_manager.py
import statsmodels.distributions.empirical_distribution as edf import pandas as pd import numpy as np import math from federated_gbdt.core.pure_ldp.frequency_oracles.square_wave.sw_client import SWClient from federated_gbdt.core.pure_ldp.frequency_oracles.square_wave.sw_server import SWServer from federated_gbdt.core....
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/components/train_monitor.py
import numpy as np import time from collections import defaultdict class TrainMonitor(): def __init__(self, num_clients, num_classes=2): self.gradient_info = [] # List of tuples containing (gradient, hess) info self.leaf_gradient_tracker = [[], []] self.root_gradient_tracker = [[],[]] ...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/federated_gbdt/models/gbdt/components/__init__.py
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/__init__.py
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/replication_experiments/experiment_replicator.py
from experiments.paper_experiments.paper_experiments import * from experiments.paper_experiments.paper_plotter import * import os.path base_path = "./replication_data/" class ExperimentReplicator(): def __init__(self): pass def replicate(self, figure_num, dataset="Credit 1", overwrite=False): ...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/replication_experiments/__init__.py
0
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/experiment_helpers/data_loader.py
import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.datasets import make_classification from collections import Counter from pmlb import fetch_data import random import os dirname = os.path.split(os.path.split(os.path.dirname(__file__))[0])[0] data_path = dirname +...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/experiment_helpers/experiment_runner.py
import time import pandas as pd import numpy as np import os from collections import Counter import itertools import pathos.multiprocessing as mp dirname = os.path.dirname(__file__) base_path = os.path.split(dirname)[0] + os.sep + "experiment_data" + os.sep from federated_gbdt.models.gbdt.private_gbdt import PrivateG...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/paper_experiments/paper_experiments.py
import math import numpy as np from experiments.experiment_helpers.data_loader import DataLoader from experiments.experiment_helpers.experiment_runner import ExperimentRunner from dev.communication_framework import CommunicationsFramework global_seeds = [1, 4, 100, 333, 1002] data_loader = DataLoader([1, 4, 100, 333...
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federated-boosted-dp-trees
federated-boosted-dp-trees-master/experiments/paper_experiments/paper_plotter.py
import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import os import shutil import matplotlib.lines as mlines from collections import defaultdict sns.set_theme(style="whitegrid") def set_fontsize(size=14): tex_fonts = { #"text.usetex": True, "font.family"...
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drizzlepac
drizzlepac-master/conftest.py
"""Project default for pytest""" # Utilities to support command line passing of arguments to test_randomlist.py def pytest_addoption(parser): """Support options for the pytest test_randomlist.py.""" parser.addoption("--start_row", action="store", default=0) parser.addoption("--num_rows", action="store", d...
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drizzlepac
drizzlepac-master/setup.py
#!/usr/bin/env python import sys from glob import glob from pathlib import Path import numpy from astropy import wcs from setuptools import setup, Extension # Setup C module include directories include_dirs = [] numpy_includes = [numpy.get_include()] wcs_include_path = Path(wcs.get_include()) wcs_includes = [ str...
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drizzlepac
drizzlepac-master/tests/combine_ecsv_files.py
#!/usr/bin/env python """Simple script to combine the ecsv files from individual test runs into a single monolithic file for easier review. """ import argparse import datetime import glob import os import sys from astropy.io import ascii from astropy.table import Table, vstack # ------------------------------------...
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drizzlepac
drizzlepac-master/tests/resources.py
import getpass import os import sys import math from io import StringIO import shutil import datetime from os.path import splitext from difflib import unified_diff import pytest from astropy.io import fits from astropy.io.fits import FITSDiff from astropy.utils.data import conf import numpy as np import stwcs from st...
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drizzlepac
drizzlepac-master/tests/test_imageObject.py
#!/usr/bin/env python import pytest from drizzlepac import imageObject #from http://blog.moertel.com/articles/2008/03/19/property-checking-with-pythons-nose-testing-framework def forall_cases(cases): def decorate(testfn): def gen(): for case in cases: yield testfn, case ...
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drizzlepac
drizzlepac-master/tests/__init__.py
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drizzlepac
drizzlepac-master/tests/acs/test_acs_kernels.py
import os from stsci.tools import teal from drizzlepac import astrodrizzle from ci_watson.artifactory_helpers import get_bigdata from ..resources import BaseACS def pytest_generate_tests(metafunc): # called once per each test function funcarglist = metafunc.cls.params[metafunc.function.__name__] argnames...
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drizzlepac
drizzlepac-master/tests/acs/test_unit.py
import os import pytest import numpy as np from stwcs import distortion from ..resources import BaseUnit import drizzlepac.adrizzle as adrizzle import drizzlepac.ablot as ablot class TestDriz(BaseUnit): def test_square_with_point(self): """ Test do_driz square kernel with point """ ...
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drizzlepac
drizzlepac-master/tests/acs/test_acs_tweak.py
import os import shutil import pytest from stsci.tools import teal from stwcs import updatewcs from drizzlepac import astrodrizzle, tweakreg from drizzlepac import pixtopix, pixtosky, skytopix from ..resources import BaseACS class TestAcsTweak(BaseACS): @pytest.mark.xfail def test_tweak(self): """ ...
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drizzlepac
drizzlepac-master/tests/acs/test_acs_narrowband.py
from stsci.tools import teal from drizzlepac import astrodrizzle from ..resources import BaseACS from ci_watson.hst_helpers import raw_from_asn class TestAsnNarrowband(BaseACS): def test_acs_narrowband(self): rootname = 'j8dw01010' asn_file = rootname + '_asn.fits' # Prepare input files...
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drizzlepac
drizzlepac-master/tests/acs/test_asn_regress.py
import os from stsci.tools import teal import drizzlepac from drizzlepac import astrodrizzle from ..resources import BaseACS from ci_watson.hst_helpers import raw_from_asn class TestAsnRegress(BaseACS): def test_hrc_asn(self): # Customized tolerances as Linux and Mac would need different truth files. ...
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drizzlepac
drizzlepac-master/tests/acs/__init__.py
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drizzlepac
drizzlepac-master/tests/hap/base_classes.py
"""Regression test helpers.""" import os import pytest from astropy.io import fits from astropy.utils.data import conf from ci_watson.artifactory_helpers import get_bigdata from ci_watson.artifactory_helpers import compare_outputs from drizzlepac.haputils.astroquery_utils import retrieve_observation # Base classes ...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_wfc3ir.py
""" This module tests full pipeline SVM processing as a demonstration template. """ import datetime import os import pytest import numpy as np from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from pathlib import Path """ test_svm_d...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_ibyt50.py
""" This module tests full pipeline SVM processing of a WFC3 dataset containing both IR and UVIS data. The two detectors have the same WCS solution. """ import datetime import os import math import numpy as np import pytest from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsing...
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drizzlepac
drizzlepac-master/tests/hap/test_pipeline.py
""" This module tests full pipeline use of the drizzlepac package. """ import os import pytest from astropy.utils.data import conf from ci_watson.artifactory_helpers import get_bigdata from ci_watson.hst_helpers import download_crds, ref_from_image from drizzlepac.haputils import astroquery_utils as aqutils from dr...
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drizzlepac
drizzlepac-master/tests/hap/test_align.py
""" This module runs tests on specific datasets to determine if the datasets can be aligned to an astrometric catalog. """ import sys import pytest from drizzlepac import align as alignimages from ci_watson.artifactory_helpers import get_bigdata from .base_test import BaseHLATest from stsci.tools import logutil l...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_j97e06.py
""" This module tests full pipeline SVM processing of ACS WFC Grism and Direct image data. """ import datetime import glob import os import math import numpy as np import pytest from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from astr...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_canary.py
""" This module tests full pipeline SVM processing as a demonstration template. """ import datetime import glob import os import pytest import numpy as np from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from pathlib import Path """ ...
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drizzlepac
drizzlepac-master/tests/hap/base_test.py
import os import pytest import math from astropy.io import fits from astropy.table import Table import numpy as np import stwcs from stwcs import updatewcs from stsci.tools import fileutil from ci_watson.artifactory_helpers import get_bigdata_root from ci_watson.hst_helpers import raw_from_asn, ref_from_image, downl...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_ibqk07.py
""" This module tests full pipeline SVM processing of a WFC3 dataset containing both IR and UVIS data. The two detectors do NOT have the same WCS solution. """ import datetime import os import math import numpy as np import pytest from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import ...
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drizzlepac
drizzlepac-master/tests/hap/test_randomlist.py
""" This module is the high-level wrapper for running a test on a list of input datasets in order to collect statistics on alignment of each dataset to an astrometric catalog.""" import sys import datetime import os import shutil import numpy as np from astropy.table import Table import pytest from drizzlepac ...
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drizzlepac
drizzlepac-master/tests/hap/test_alignpipe_randomlist.py
""" This module is the high-level wrapper for running a test on a list of input datasets in order to process the dataset in manner similar to the pipeline processing (updatewcs, alignment, astrodrizzle). """ import datetime import traceback import os import shutil import sys import numpy as np from astropy....
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drizzlepac
drizzlepac-master/tests/hap/__init__.py
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0
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drizzlepac
drizzlepac-master/tests/hap/test_svm_hrcsbc.py
""" This module tests full pipeline SVM processing as a demonstration template. """ import datetime import glob import os import pytest import numpy as np from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from pathlib import Path """ ...
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drizzlepac
drizzlepac-master/tests/hap/test_run_svmpoller.py
""" This module is the high-level wrapper for running a test on a list of input poller files (e.g., ib4606.out) in order to process the specified data through the Single Visit Mosaic pipeline. """ import datetime import glob import os import shutil import sys import traceback import numpy as np import pytes...
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drizzlepac
drizzlepac-master/tests/hap/test_svm_je281u.py
""" This module tests full pipeline SVM processing for an ACS WFC, full-frame, one filter dataset. """ import datetime import glob import os import pytest from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from pathlib import Path """ ...
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drizzlepac
drizzlepac-master/tests/hap/test_apriori.py
""" This module computes alignment solutions between all "a priori" solutions for a dataset and GAIA. """ import pytest import numpy as np from drizzlepac.haputils import testutils from ..resources import BaseACS, BaseWFC3 def compare_apriori(dataset): """This test will perform fits between ALL a priori s...
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drizzlepac
drizzlepac-master/tests/hap/template_svm_demo.py
""" This module tests full pipeline SVM processing as a demonstration template. """ import datetime import glob import os import pytest from drizzlepac.haputils import astroquery_utils as aqutils from drizzlepac import runsinglehap from astropy.io import fits, ascii from pathlib import Path """ template_svm_demo...
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drizzlepac
drizzlepac-master/tests/wfpc2/test_wfpc2.py
import os import pytest from stsci.tools import teal from drizzlepac import astrodrizzle from stwcs import updatewcs from ..resources import BaseWFPC2 class TestWFPC2(BaseWFPC2): @pytest.mark.skip(reason="disable until truth files can be updated") def test_waiver_single(self): """ This test confirms...
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drizzlepac
drizzlepac-master/tests/wfpc2/__init__.py
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drizzlepac
drizzlepac-master/tests/drizzle/test_kernel.py
import os import pytest import numpy as np from astropy import wcs import cdriz_setup @pytest.fixture def kernel_pars(): _params = cdriz_setup.Get_Grid(inx=50, iny=60, outx=51, outy=66) _params.zero_background() return _params @pytest.mark.parametrize("kernel", ["square", "point", "turbo", "gaussian", "...
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drizzlepac
drizzlepac-master/tests/drizzle/test_cdriz.py
import pytest import os import numpy as np import cdriz_setup @pytest.fixture def kernel_pars(): # get cdriz.triz inputs from cdriz_setup.py _params = cdriz_setup.Get_Grid(inx=10, iny=10, outx=13, outy=13) _params.zero_background() return _params # "square", "point", "turbo", "gaussian", "lanczos3" ...
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drizzlepac
drizzlepac-master/tests/drizzle/cdriz_setup.py
import os import numpy as np from astropy import wcs from drizzlepac import cdriz def get_wcs(_grid, pscale=0.04): w = wcs.WCS() w.wcs.ctype = ["RA---TAN", "DEC--TAN"] w.wcs.crpix = [_grid[0] / 2.0, _grid[1] / 2.0] # define as center pixel in array w.wcs.crval = [10.000, 10.000] # RA/Decl. in decima...
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drizzlepac
drizzlepac-master/tests/stis/__init__.py
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drizzlepac
drizzlepac-master/tests/stis/test_stis.py
import os import shutil from stsci.tools import teal from drizzlepac import astrodrizzle from drizzlepac import pixtopix, pixtosky, skytopix from stwcs import updatewcs from ..resources import BaseSTIS class TestSTIS(BaseSTIS): def test_fuv_mama(self): """ This test confirms that drizzlepac can correcl...
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drizzlepac
drizzlepac-master/tests/wfc3/test_vary_perf.py
import os from stsci.tools import teal from drizzlepac import astrodrizzle from stwcs import updatewcs from ..resources import BaseWFC3 def pytest_generate_tests(metafunc): # called once per each test function funcarglist = metafunc.cls.params[metafunc.function.__name__] argnames = sorted(funcarglist[0]) ...
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drizzlepac
drizzlepac-master/tests/wfc3/test_wfc3.py
import os from stsci.tools import teal import drizzlepac from drizzlepac import astrodrizzle from stwcs import updatewcs from ..resources import BaseWFC3 from ci_watson.hst_helpers import raw_from_asn class TestWFC3(BaseWFC3): def test_binned_single(self): # Customized tolerances as Linux and Mac woul...
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drizzlepac
drizzlepac-master/tests/wfc3/__init__.py
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drizzlepac
drizzlepac-master/doc/source/conf.py
# -*- coding: utf-8 -*- # # STSCI documentation build configuration file, created by # sphinx-quickstart on Thu Oct 22 17:25:41 2015. # # This file is execfile()d with the current directory set to its # containing dir. # # Note that not all possible configuration values are present in this # autogenerated file. # # All...
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drizzlepac
drizzlepac-master/drizzlepac/runmultihap.py
#!/usr/bin/env python """ runmultihap.py - Module to control processing of multi-visit mosaics :License: :doc:`LICENSE` USAGE: >>> python drizzlepac/runmultihap [-dl] inputFilename - The '-d' option will run this task in DEBUG mode producing additional outputs. If not explicitly specified, the default value i...
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drizzlepac
drizzlepac-master/drizzlepac/mdriz.py
#!/usr/bin/env python """ Main program for running MultiDrizzle from the command line. :Authors: Warren Hack :License: :doc:`LICENSE` """ import getopt import sys, os from drizzlepac.astrodrizzle import AstroDrizzle from drizzlepac import __version__ from drizzlepac import util ruler = '-' * 80 print('{0:s}\nDEPRE...
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drizzlepac
drizzlepac-master/drizzlepac/runsinglehap.py
#!/usr/bin/env python """ runsinglehap.py - Module to control processing of single-visit mosaics :License: :doc:`LICENSE` USAGE: >>> runsinglehap [-cdl] inputFilename - The '-c' option allows the user to specify a customized configuration JSON file which has been tuned for specialized processing. Thi...
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drizzlepac
drizzlepac-master/drizzlepac/quickDeriv.py
""" MODULE RECEIVES A NUMARRAY OBJECT AS INPUT, REPRESENTING A 2-D IMAGE, AND COMPUTES THE ABSOLUTE DERIVATE OF THAT IMAGE. A NUMARRY OBJECT IS RETURNED BY :py:func:`quickderiv`. :Authors: CHRISTOPHER HANLEY :License: :doc:`LICENSE` """ # # VERSION: # Version 0.1.0: created -- CJH # import numpy as np from . impo...
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drizzlepac
drizzlepac-master/drizzlepac/align.py
#!/usr/bin/env python """This script is a modernized implementation of tweakreg. """ import copy import datetime import sys import glob import math import os import pickle from collections import OrderedDict import traceback import numpy as np from astropy.table import Table from astropy.io import fits from stsci.t...
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drizzlepac
drizzlepac-master/drizzlepac/imagefindpars.py
""" :Authors: Warren Hack, Mihai Cara :License: :doc:`LICENSE` """ import os, string from stsci.tools import teal from . import util from . import __version__ __taskname__ = 'imagefindpars' __doc__ = util._def_help_functions( locals(), module_file=__file__, task_name=__taskname__, module_doc=__doc__ )
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drizzlepac
drizzlepac-master/drizzlepac/buildwcs.py
""" Provides function for manipulating WCS in images. :Authors: Warren Hack :License: :doc:`LICENSE` """ import sys, types, os, copy from . import util import numpy as np from astropy.io import fits from stsci.tools import fileutil,teal from . import outputimage, wcs_functions, processInput,util import stwcs from s...
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drizzlepac
drizzlepac-master/drizzlepac/tweakutils.py
""" :Authors: Warren Hack :License: :doc:`LICENSE` """ import string import os import sys import numpy as np from scipy import signal, ndimage from stsci.tools import asnutil, irafglob, parseinput, fileutil, logutil from astropy.io import fits import astropy.coordinates as coords import astropy.units as u from astr...
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drizzlepac
drizzlepac-master/drizzlepac/updatehdr.py
""" :Authors: Warren Hack, Mihai Cara :License: :doc:`LICENSE` """ import re import sys from astropy.io import fits import numpy as np from astropy import wcs as pywcs from stsci.tools import fileutil, logutil from stwcs import wcsutil from stwcs.wcsutil import wcscorr, altwcs from stsci.skypac.utils import get_e...
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drizzlepac
drizzlepac-master/drizzlepac/astrodrizzle.py
""" ``AstroDrizzle`` - Python implementation of ``MultiDrizzle`` ``AstroDrizzle`` automates the process of aligning images in an output frame, identifying cosmic-rays, removing distortion, and then combining the images after removing the identified cosmic-rays. This process involves a number of steps, such as: * P...
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drizzlepac
drizzlepac-master/drizzlepac/createMedian.py
""" Create a median image from the singly drizzled images. :Authors: Warren Hack, Mihai Cara :License: :doc:`LICENSE` """ import os import sys import math import numpy as np from astropy.io import fits from stsci.imagestats import ImageStats from stsci.image import numcombine from stsci.tools import iterfile, teal,...
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drizzlepac
drizzlepac-master/drizzlepac/mapreg.py
""" This module provides functions for mapping DS9 region files given in sky coordinates to DS9 region files specified in image coordinates of multiple images using the WCS information from the images. :Authors: Mihai Cara :License: :doc:`LICENSE` """ from astropy.io import fits import stregion as pyregion import st...
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drizzlepac
drizzlepac-master/drizzlepac/photeq.py
""" A tool to adjust data values of images by equalizing each chip's PHOTFLAM value to a single common value so that all chips can be treated equally by ``AstroDrizzle``. :Authors: Mihai Cara :License: :doc:`LICENSE` """ # HISTORY: # v0.1 - 14-Aug-2015 - Initial release # v0.2 - 06-Nov-2015 - Added doctstrings, log...
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drizzlepac
drizzlepac-master/drizzlepac/updatenpol.py
#!/usr/bin/env python # $Id: updatenpol.py 8609 2010-01-19 16:22:48Z hack $ """ ``updatenpol``:: Update the header of ACS file(s) with the names of new ``NPOLFILE`` and ``D2IMFILE`` reference files for use with the AstroDrizzle. :Authors: Warren Hack :License: :doc:`LICENSE` """ __docformat__ = 'restr...
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drizzlepac
drizzlepac-master/drizzlepac/run_config_utils.py
#!/usr/bin/env python import pdb import sys from drizzlepac.haputils import config_utils from drizzlepac.haputils import poller_utils input_filename = sys.argv[1] obs_info_dict, total_list = poller_utils.interpret_obset_input(input_filename) out_pars_file = None for total_item in total_list: total_item.confi...
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drizzlepac
drizzlepac-master/drizzlepac/tweakreg.py
""" ``TweakReg`` - A replacement for IRAF-based ``tweakshifts`` :Authors: Warren Hack, Mihai Cara :License: :doc:`LICENSE` """ import os import sys import numpy as np from copy import copy from stsci.tools import parseinput, teal from stsci.tools import logutil, textutil from stsci.tools.cfgpars import DuplicateKey...
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drizzlepac
drizzlepac-master/drizzlepac/imgclasses.py
""" Classes to keep track of all WCS and catalog information. Used by ``TweakReg``. :Authors: Warren Hack, Mihai Cara :License: :doc:`LICENSE` """ import os import sys import copy import numpy as np from astropy import wcs as pywcs from astropy.io import fits from spherical_geometry.polygon import SphericalPolygon ...
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drizzlepac
drizzlepac-master/drizzlepac/catalogs.py
""" :Authors: Warren Hack :License: :doc:`LICENSE` """ import os, sys import copy import numpy as np import astropy from astropy import wcs as pywcs import astropy.coordinates as coords from astropy import units as u from stsci.tools import logutil, textutil from stsci.skypac.utils import basicFITScheck, get_extver_...
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drizzlepac
drizzlepac-master/drizzlepac/make_custom_mosaic.py
#!/usr/bin/env python """ make_custom_mosaic.py - Module to control the generation of user-defined multi-skycell mosaics. This script extends the capabilities of the HAP multi-visit mosaics (MVM) processing code (hapmultisequencer.py). Based on user input, this script will produce drizzle-combined mosaics that will be...
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drizzlepac
drizzlepac-master/drizzlepac/staticMask.py
""" This module provides functions and classes that manage the creation of the global static masks. For ``staticMask``, the user interface function is :py:func:`createMask`. :Authors: Ivo Busko, Christopher Hanley, Warren Hack, Megan Sosey :License: :doc:`LICENSE` """ import os import sys import numpy as np from s...
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drizzlepac
drizzlepac-master/drizzlepac/wfpc2Data.py
""" ``wfpc2Data`` module provides classes used to import WFPC2 specific instrument data. :Authors: Warren Hack, Ivo Busko, Christopher Hanley :License: :doc:`LICENSE` """ import copy import os import shutil import glob from astropy.io import fits import numpy as np from stsci.tools import fileutil, readgeis from ...
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drizzlepac
drizzlepac-master/drizzlepac/acsData.py
""" Class used to model ACS specific instrument data. :Authors: Christopher Hanley, Warren Hack, Ivo Busko, David Grumm :License: :doc:`LICENSE` """ from stsci.tools import fileutil import numpy as np from .imageObject import imageObject class ACSInputImage(imageObject): SEPARATOR = '_' def __init__(self...
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drizzlepac
drizzlepac-master/drizzlepac/skytopix.py
""" skytopix - A module to perform coordinate transformation from sky to pixel coordinates. :Authors: Warren Hack :License: :doc:`LICENSE` PARAMETERS ---------- input : str full filename with path of input image, an extension name ['sci',1] should be provided if input is a mul...
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