Resolve conflicts and add diamagnetic changes

all_requirements.txt

+absl-py==2.2.2
+ai4ts==0.0.3
+aiohappyeyeballs==2.6.1
+aiohttp==3.11.18
+aiosignal==1.3.2
+arcticpy==2.6
+arcticpy_no_gsl==2.6
+asteval==1.0.6
+astro-sedpy==0.4.0
+astroalign==2.5.1
+astropy @ file:///home/conda/feedstock_root/build_artifacts/astropy_1701289986705/work
+astropy-iers-data @ file:///home/conda/feedstock_root/build_artifacts/astropy-iers-data_1745826964142/work
+astropy_healpix==1.1.2
+astroquery==0.4.6
+astroscrappy==1.2.0
+attrs==25.3.0
+backports.tarfile==1.2.0
+bayesian-optimization==2.0.3
+beautifulsoup4==4.13.4
+benchpots==0.4
+bidict==0.23.1
+Bottleneck @ file:///croot/bottleneck_1731058641041/work
+Brotli @ file:///home/conda/feedstock_root/build_artifacts/brotli-split_1725267488082/work
+ccdproc==2.4.1
+certifi @ file:///home/conda/feedstock_root/build_artifacts/certifi_1739515848642/work/certifi
+cffi @ file:///home/conda/feedstock_root/build_artifacts/cffi_1725560564262/work
+charset-normalizer @ file:///home/conda/feedstock_root/build_artifacts/charset-normalizer_1735929714516/work
+click==8.1.8
+cloudpickle==3.1.1
+cma==4.0.0
+colorama @ file:///home/conda/feedstock_root/build_artifacts/colorama_1733218098505/work
+coloredlogs==15.0.1
+contourpy @ file:///home/conda/feedstock_root/build_artifacts/contourpy_1744743063425/work
+crc32c==2.7.1
+cryptography==44.0.2
+cycler @ file:///home/conda/feedstock_root/build_artifacts/cycler_1733332471406/work
+dask==2025.4.1
+deepCR==0.1.5
+dill==0.4.0
+donfig==0.8.1.post1
+dust_extinction==1.5
+eazy==0.6.8
+einops==0.8.1
+exceptiongroup @ file:///home/conda/feedstock_root/build_artifacts/exceptiongroup_1733208806608/work
+filelock==3.18.0
+flatbuffers==25.2.10
+fonttools==4.25.0
+frozenlist==1.6.0
+fsspec==2024.12.0
+future==1.0.0
+GalSim==2.5.3
+grpcio==1.71.0
+h2 @ file:///home/conda/feedstock_root/build_artifacts/h2_1738578511449/work
+h5py==3.10.0
+healpy @ file:///home/conda/feedstock_root/build_artifacts/healpy_1715899674902/work
+hpack @ file:///home/conda/feedstock_root/build_artifacts/hpack_1737618293087/work
+html5lib==1.1
+humanfriendly==10.0
+hyperframe @ file:///home/conda/feedstock_root/build_artifacts/hyperframe_1737618333194/work
+idna @ file:///home/conda/feedstock_root/build_artifacts/idna_1733211830134/work
+imageio @ file:///home/conda/feedstock_root/build_artifacts/imageio_1738273805233/work
+importlib_metadata @ file:///home/conda/feedstock_root/build_artifacts/importlib-metadata_1737420181517/work
+iniconfig @ file:///home/conda/feedstock_root/build_artifacts/iniconfig_1733223141826/work
+jaraco.classes==3.4.0
+jaraco.context==6.0.1
+jaraco.functools==4.1.0
+jeepney==0.9.0
+Jinja2==3.1.6
+joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1691577114857/work
+jplephem==2.22
+keras==2.15.0
+keyring==25.6.0
+kiwisolver @ file:///home/conda/feedstock_root/build_artifacts/kiwisolver_1725459263097/work
+lazy_loader @ file:///home/conda/feedstock_root/build_artifacts/lazy-loader_1733636780672/work
+lightning==2.1.4
+lightning-utilities==0.14.3
+llvmlite @ file:///croot/llvmlite_1706910704562/work
+lmfit==1.2.2
+locket==1.0.0
+LSSTDESC.Coord==1.3.0
+Markdown==3.8
+MarkupSafe==3.0.2
+matplotlib @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-suite_1708026439111/work
+more-itertools==10.7.0
+mpmath==1.3.0
+multidict==6.4.3
+multiprocess==0.70.17
+munkres==1.1.4
+networkx @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_networkx_1731521053/work
+nevergrad==1.0.2
+numba @ file:///home/conda/feedstock_root/build_artifacts/numba_1707024788644/work
+numcodecs==0.16.0
+numexpr @ file:///croot/numexpr_1730215937391/work
+numpy @ file:///croot/numpy_and_numpy_base_1708638617955/work/dist/numpy-1.26.4-cp311-cp311-linux_x86_64.whl#sha256=2f550fcfe63acca79d636ba578e32b7ec2999e0f9cd88120af57d1497ad15890
+onnx==1.17.0
+onnxruntime==1.16.3
+opencv-python==4.9.0.80
+packaging==24.2
+pandas @ file:///croot/pandas_1709590491089/work/dist/pandas-2.2.1-cp311-cp311-linux_x86_64.whl#sha256=0a2793a31a0135a35735e1431d453a06186a3a7c607d9b441d9bd5f0fe4ded31
+partd==1.4.2
+pathos==0.3.2
+patsy @ file:///home/conda/feedstock_root/build_artifacts/patsy_1733792384640/work
+PeakUtils==1.3.5
+photutils==1.11.0
+pillow @ file:///croot/pillow_1707233021655/work
+pluggy @ file:///home/conda/feedstock_root/build_artifacts/pluggy_1733222765875/work
+ply @ file:///home/conda/feedstock_root/build_artifacts/ply_1733239724146/work
+pox==0.3.6
+ppft==1.7.7
+ppxf==9.1.1
+propcache==0.3.1
+protobuf==6.30.2
+psutil @ file:///home/conda/feedstock_root/build_artifacts/psutil_1705722403006/work
+pyaml==25.1.0
+pyarrow==20.0.0
+PyAstronomy==0.19.0
+pybind11==2.13.6
+pycparser @ file:///home/conda/feedstock_root/build_artifacts/bld/rattler-build_pycparser_1733195786/work
+pyerfa @ file:///home/conda/feedstock_root/build_artifacts/pyerfa_1731377640668/work
+pyFFTW @ file:///home/conda/feedstock_root/build_artifacts/pyfftw_1720683589220/work
+pygrinder==0.7
+pyparsing @ file:///home/conda/feedstock_root/build_artifacts/pyparsing_1743089729650/work
+pypots==0.8.1
+PyQt6==6.7.1
+PyQt6_sip @ file:///croot/pyqt-split_1744804475988/work/pyqt_sip
+PySocks @ file:///home/conda/feedstock_root/build_artifacts/pysocks_1733217236728/work
+pytest @ file:///home/conda/feedstock_root/build_artifacts/pytest_1740946542080/work
+pytest-runner @ file:///home/conda/feedstock_root/build_artifacts/pytest-runner_1646158889426/work
+python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1733215673016/work
+pytorch-lightning==2.5.1.post0
+pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1742920838005/work
+pyvo==1.6.2
+PyWavelets==1.8.0
+PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1695373611984/work
+quantities==0.16.2
+regions==0.8
+reproject==0.14.1
+requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1684774241324/work
+scikit-image @ file:///home/conda/feedstock_root/build_artifacts/scikit-image_1697028611470/work/dist/scikit_image-0.22.0-cp311-cp311-linux_x86_64.whl#sha256=53d8b95f752df47007e9e71dd1c9805b9334e1e4791cf48e3762abb922636f04
+scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1705657325295/work
+scikit-optimize==0.9.0
+scipy @ file:///croot/scipy_1710947333060/work/dist/scipy-1.12.0-cp311-cp311-linux_x86_64.whl#sha256=36d2a2832c572683d48b886ce053e987537363682beff7131df0cf3b2d90ed38
+seaborn @ file:///home/conda/feedstock_root/build_artifacts/seaborn-split_1733730015268/work
+SecretStorage==3.3.3
+sep==1.4.1
+sip @ file:///home/conda/feedstock_root/build_artifacts/sip_1745411181663/work
+six @ file:///home/conda/feedstock_root/build_artifacts/six_1733380938961/work
+soupsieve==2.7
+statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1727986709728/work
+sympy==1.14.0
+tensorboard==2.19.0
+tensorboard-data-server==0.7.2
+threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1741878222898/work
+tifffile @ file:///croot/tifffile_1734340907867/work
+tomli @ file:///home/conda/feedstock_root/build_artifacts/tomli_1733256695513/work
+toolz==1.0.0
+torch==2.1.0+cpu
+torchmetrics==1.7.1
+torchvision==0.16.0+cpu
+tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1732615904614/work
+tqdm==4.67.1
+tsdb==0.7.1
+typing_extensions==4.13.2
+tzdata @ file:///home/conda/feedstock_root/build_artifacts/python-tzdata_1742745135198/work
+uncertainties==3.2.3
+unicodedata2 @ file:///home/conda/feedstock_root/build_artifacts/unicodedata2_1736692517942/work
+urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1744323578849/work
+webencodings==0.5.1
+Werkzeug==3.1.3
+yarl==1.20.0
+zarr==3.0.7
+zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1732827521216/work
+zstandard==0.23.0

run.py

@@ -7,28 +7,28 @@ import shutil
 def main():
 
 
-# 定义初始路径和目标路径
-source_dir = '/workspace/input/'
-target_dir = '/workspace/output/'
-
-# 确保源路径存在
-if not os.path.exists(source_dir):
-    print(f"错误：源路径 {source_dir} 不存在。")
-else:
-    # 创建目标路径（如果不存在）
-    os.makedirs(target_dir, exist_ok=True)
-
-    # 获取源路径下的所有文件（不递归子目录）
-    for file_name in os.listdir(source_dir):
-        source_file = os.path.join(source_dir, file_name)
-        target_file = os.path.join(target_dir, file_name)
-
-        # 只拷贝文件，忽略子目录
-        if os.path.isfile(source_file):
-            shutil.copy2(source_file, target_file)  # copy2 保留元数据（如修改时间）
-            print(f"已拷贝: {source_file} -> {target_file}")
-
-    print("拷贝完成。")
+    # 定义初始路径和目标路径
+    source_dir = '/workspace/input/'
+    target_dir = '/workspace/output/'
+
+    # 确保源路径存在
+    if not os.path.exists(source_dir):
+        print(f"错误：源路径 {source_dir} 不存在。")
+    else:
+        # 创建目标路径（如果不存在）
+        os.makedirs(target_dir, exist_ok=True)
+
+        # 获取源路径下的所有文件（不递归子目录）
+        for file_name in os.listdir(source_dir):
+            source_file = os.path.join(source_dir, file_name)
+            target_file = os.path.join(target_dir, file_name)
+
+            # 只拷贝文件，忽略子目录
+            if os.path.isfile(source_file):
+                shutil.copy2(source_file, target_file)  # copy2 保留元数据（如修改时间）
+                print(f"已拷贝: {source_file} -> {target_file}")
+
+        print("拷贝完成。")
 
 if __name__ == '__main__':
     main()

test.py

+from astroquery.mast import Observations
+from astropy.io import fits
+from astropy.visualization import simple_norm
+import matplotlib.pyplot as plt
+from ccdproc import CCDData
+
+# 查询并下载观测数据
+obs_table = Observations.query_criteria(dataproduct_type=["image"], obs_collection="HST", instrument_name="ACS/WFC")
+data_products_by_obs = Observations.get_product_list(obs_table[0])
+download_info = Observations.download_products(data_products_by_obs[:1], productType="SCIENCE")
+
+# 加载FITS文件
+fits_file_path = download_info['obs_id', 'local_path'][0]['local_path']
+hdu_list = fits.open(fits_file_path)
+hdu = hdu_list[0]
+
+# 将HDU对象转换为CCDData对象，便于后续处理
+ccd_image = CCDData(hdu.data, unit="adu")
+
+# 使用ccdproc进行基本处理，比如减去平均值
+processed_image = ccd_image.subtract(ccd_image.mean())
+
+# 显示处理前后的图像
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 7))
+norm = simple_norm(hdu.data, 'sqrt', percent=99)
+ax1.imshow(hdu.data, norm=norm, origin='lower')
+ax1.set_title('原始图像')
+norm_processed = simple_norm(processed_image.data, 'sqrt', percent=99)
+ax2.imshow(processed_image.data, norm=norm_processed, origin='lower')
+ax2.set_title('处理后图像')
+plt.show()
+
+# 关闭fits文件以释放资源
+hdu_list.close()
\ No newline at end of file