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ansys / pydpf-core

Data Processing Framework - Python Core
http://dpf.docs.pyansys.com/
MIT License
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OSError: exception: access violation reading 0x0000000000000030 #1555

Open SarojBhatta1 opened 2 months ago

SarojBhatta1 commented 2 months ago

Before submitting the issue

Description of the bug

Hello, I am getting this error when trying to access data from the .rst file: Dpf_error

The model includes the results at different times. I can read the result/data of strain and temperature up to ID 32 -cumulative (below is the list of data sets in the model) without any issue, but when I try to access the results beyond that I get the error shown in the attached image above. I am wondering what is causing this and what can I do to fix it. This also happened with another case with multiple time steps. I was able to read the data for earlier time steps only. _DPF Time/Freq Support: Number of sets: 156 Cumulative Time (s) LoadStep Substep
1 1.000000 1 1
2 2.000000 1 2
3 3.000000 1 3
4 4.000000 1 4
5 5.000000 1 5
6 6.000000 1 6
7 7.000000 1 7
8 8.000000 1 8
9 9.000000 1 9
10 10.000000 1 10
11 11.000000 1 11
12 12.000000 1 12
13 13.000000 1 13
14 14.000000 1 14
15 15.000000 1 15
16 16.000000 1 16
17 17.000000 1 17
18 18.000000 1 18
19 19.000000 1 19
20 20.000000 1 20
21 20.100000 2 1
22 20.200000 2 2
23 20.300000 2 3
24 20.400000 2 4
25 20.500000 2 5
26 20.535000 2 6
27 20.570000 2 7
28 20.622500 2 8
29 20.701250 2 9
30 20.801250 2 10
31 20.901250 2 11
32 21.000000 2 12
33 22.000000 3 1
34 23.000000 3 2
35 24.000000 3 3
36 25.000000 3 4
37 26.000000 3 5
38 27.000000 3 6
39 28.000000 3 7
40 29.000000 3 8
41 30.000000 3 9
42 31.000000 3 10
43 32.000000 3 11
44 33.000000 3 12
45 34.000000 3 13
46 35.000000 3 14
47 36.000000 3 15
48 37.000000 3 16
49 38.000000 3 17
50 39.000000 3 18
51 40.000000 3 19
52 41.000000 3 20
53 41.100000 4 1
54 41.200000 4 2
55 41.300000 4 3
56 41.400000 4 4
57 41.500000 4 5
58 41.535000 4 6
59 41.570000 4 7
60 41.622500 4 8
61 41.701250 4 9
62 41.801250 4 10
63 41.901250 4 11
64 42.000000 4 12
65 43.000000 5 1
66 44.000000 5 2
67 45.000000 5 3
68 46.000000 5 4
69 47.000000 5 5
70 48.000000 5 6
71 49.000000 5 7
72 50.000000 5 8
73 51.000000 5 9
74 52.000000 5 10
75 53.000000 5 11
76 54.000000 5 12
77 55.000000 5 13
78 56.000000 5 14
79 57.000000 5 15
80 58.000000 5 16
81 59.000000 5 17
82 60.000000 5 18
83 61.000000 5 19
84 62.000000 5 20
85 62.100000 6 1
86 62.200000 6 2
87 62.300000 6 3
88 62.400000 6 4
89 62.500000 6 5
90 62.535000 6 6
91 62.570000 6 7
92 62.622500 6 8
93 62.701250 6 9
94 62.801250 6 10
95 62.901250 6 11
96 63.000000 6 12
97 64.000000 7 1
98 65.000000 7 2
99 66.000000 7 3
100 67.000000 7 4
101 68.000000 7 5
102 69.000000 7 6
103 70.000000 7 7
104 71.000000 7 8
105 72.000000 7 9
106 73.000000 7 10
107 74.000000 7 11
108 75.000000 7 12
109 76.000000 7 13
110 77.000000 7 14
111 78.000000 7 15
112 79.000000 7 16
113 80.000000 7 17
114 81.000000 7 18
115 82.000000 7 19
116 83.000000 7 20
117 83.100000 8 1
118 83.200000 8 2
119 83.300000 8 3
120 83.400000 8 4
121 83.500000 8 5
122 83.600000 8 6
123 83.700000 8 7
124 83.800000 8 8
125 83.900000 8 9
126 84.000000 8 10
127 85.000000 9 1
128 86.000000 9 2
129 87.000000 9 3
130 88.000000 9 4
131 89.000000 9 5
132 90.000000 9 6
133 91.000000 9 7
134 92.000000 9 8
135 93.000000 9 9
136 94.000000 9 10
137 95.000000 9 11
138 96.000000 9 12
139 97.000000 9 13
140 98.000000 9 14
141 99.000000 9 15
142 100.000000 9 16
143 101.000000 9 17
144 102.000000 9 18
145 103.000000 9 19
146 104.000000 9 20
147 104.100000 10 1
148 104.200000 10 2
149 104.300000 10 3
150 104.400000 10 4
151 104.500000 10 5
152 104.600000 10 6
153 104.700000 10 7
154 104.800000 10 8
155 104.900000 10 9
156 105.000000 10 10_

The snippet of the code that I am using to access the data is attached below: image

I am new to this. I will really appreciate any help/guidance/suggestions.

Thank you.

Steps To Reproduce

Read the result file. set the time scope. Read the strain, stress, temperature data.

import

from ansys.dpf import core as dpf from ansys.mapdl import reader as pymapdl_reader

read .rst file

rst= 'LP_TW2.rst' model = dpf.Model(rst) print(model)

Set time scoping

time_scoping = [20] # cumulative time ID time_scoping2 = [32] # cumulative time ID

Import nodal elastic strain data for the time step ID

elastic_strain_op = dpf.operators.result.strain_eqv_as_mechanical(time_scoping=time_scoping2,data_sources=model,requested_location=dpf.locations.nodal) elastic_strain_fc = elastic_strain_op.eval() elastic_strain_field = elastic_strain_fc[0] elastic_strain_data = elastic_strain_field.data

Which Operating System causes the issue?

Windows

Which DPF/Ansys version are you using?

Ansys 2023 R2

Which Python version causes the issue?

3.11

Installed packages

aiobotocore 2.7.0 aiohttp 3.9.3 aioitertools 0.7.1 aiosignal 1.2.0 alabaster 0.7.12 altair 5.0.1 anaconda-anon-usage 0.4.3 anaconda-catalogs 0.2.0 anaconda-client 1.12.3 anaconda-cloud-auth 0.1.4 anaconda-navigator 2.5.2 anaconda-project 0.11.1 ansys-api-fluent 0.3.5 ansys-api-mapdl 0.5.1 ansys-api-mechanical 0.1.0 ansys-api-meshing-prime 0.1.1 ansys-api-platform-instancemanagement 1.0.0 ansys-api-systemcoupling 0.1.0 ansys-dpf-composites 0.2b2 ansys-dpf-core 0.8.0 ansys-dpf-gate 0.3.1 ansys-dpf-gatebin 0.4.1 ansys-dpf-post 0.4.0 ansys-fluent-core 0.12.5 ansys-grantami-bomanalytics 1.1.3 ansys-grantami-bomanalytics-openapi 1.0.0 ansys-grpc-dpf 0.8.1 ansys-mapdl-core 0.64.1 ansys-mapdl-reader 0.53.0 ansys-math-core 0.1.1 ansys-mechanical-core 0.7.1 ansys-meshing-prime 0.3.0 ansys-motorcad-core 0.1.3 ansys-openapi-common 1.2.1 ansys-optislang-core 0.2.0 ansys-platform-instancemanagement 1.0.3 ansys-pythonnet 3.1.0rc1 ansys-seascape 0.2.0 ansys-systemcoupling-core 0.1.3 anyio 4.2.0 appdirs 1.4.4 archspec 0.2.1 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 arrow 1.2.3 astroid 2.14.2 astropy 5.3.4 asttokens 2.0.5 async-lru 2.0.4 atomicwrites 1.4.0 attrs 23.1.0 autograd 1.6.2 autograd-gamma 0.5.0 Automat 20.2.0 autopep8 1.6.0 Babel 2.11.0 backports.functools-lru-cache 1.6.4 backports.tempfile 1.0 backports.weakref 1.0.post1 bcrypt 3.2.0 beautifulsoup4 4.12.2 binaryornot 0.4.4 black 23.11.0 bleach 4.1.0 blinker 1.6.2 bokeh 3.3.4 boltons 23.0.0 botocore 1.31.64 Bottleneck 1.3.7 Brotli 1.0.9 cachetools 4.2.2 certifi 2024.2.2 cffi 1.16.0 chardet 4.0.0 charset-normalizer 2.0.4 click 8.1.7 cloudpickle 2.2.1 clr-loader 0.2.6 clyent 1.2.2 colorama 0.4.6 colorcet 3.0.1 comm 0.1.2 conda 24.1.2 conda-build 24.1.2 conda-content-trust 0.2.0 conda_index 0.4.0 conda-libmamba-solver 24.1.0 conda-pack 0.6.0 conda-package-handling 2.2.0 conda_package_streaming 0.9.0 conda-repo-cli 1.0.75 conda-token 0.4.0 conda-verify 3.4.2 constantly 23.10.4 contourpy 1.2.0 cookiecutter 2.5.0 cryptography 42.0.2 cssselect 1.2.0 cycler 0.11.0 cytoolz 0.12.2 dask 2023.11.0 datashader 0.16.0 debugpy 1.6.7 decorator 5.1.1 defusedxml 0.7.1 diff-match-patch 20200713 dill 0.3.7 distributed 2023.11.0 distro 1.8.0 docstring-to-markdown 0.11 docutils 0.18.1 entrypoints 0.4 et-xmlfile 1.1.0 executing 0.8.3 fastjsonschema 2.16.2 filelock 3.13.1 flake8 6.0.0 Flask 2.2.5 fonttools 4.25.0 frozenlist 1.4.0 fsspec 2023.10.0 future 0.18.3 Genshi 0.7.7 gensim 4.3.0 gitdb 4.0.7 GitPython 3.1.37 gmpy2 2.1.2 google-api-core 2.18.0 google-api-python-client 2.125.0 google-auth 2.29.0 google-auth-httplib2 0.2.0 googleapis-common-protos 1.63.0 greenlet 3.0.1 grpcio 1.62.1 grpcio-status 1.48.2 h5py 3.9.0 hachiko 0.4.0 HeapDict 1.0.1 holoviews 1.18.3 httplib2 0.22.0 hvplot 0.9.2 hyperlink 21.0.0 idna 3.4 imagecodecs 2023.1.23 imageio 2.33.1 imagesize 1.4.1 imbalanced-learn 0.11.0 importlib-metadata 6.11.0 incremental 22.10.0 inflection 0.5.1 iniconfig 1.1.1 intake 0.6.8 intervaltree 3.1.0 ipykernel 6.28.0 ipython 8.20.0 ipython-genutils 0.2.0 ipywidgets 7.6.5 isort 5.9.3 itemadapter 0.3.0 itemloaders 1.1.0 itsdangerous 2.0.1 jaraco.classes 3.2.1 jedi 0.18.1 jellyfish 1.0.1 Jinja2 3.1.3 jmespath 1.0.1 joblib 1.2.0 json5 0.9.6 jsonpatch 1.32 jsonpointer 2.1 jsonschema 4.19.2 jsonschema-specifications 2023.7.1 jupyter 1.0.0 jupyter_client 8.6.0 jupyter-console 6.6.3 jupyter_core 5.5.0 jupyter-events 0.8.0 jupyter-lsp 2.2.0 jupyter_server 2.10.0 jupyter_server_terminals 0.4.4 jupyterlab 4.0.11 jupyterlab-pygments 0.1.2 jupyterlab_server 2.25.1 jupyterlab-widgets 3.0.9 keyring 23.13.1 kiwisolver 1.4.4 lazy_loader 0.3 lazy-object-proxy 1.6.0 lckr_jupyterlab_variableinspector 3.1.0 libarchive-c 2.9 libmambapy 1.5.6 linkify-it-py 2.0.0 llvmlite 0.42.0 lmdb 1.4.1 locket 1.0.0 lxml 4.9.3 lz4 4.3.2 Markdown 3.4.1 markdown-it-py 2.2.0 MarkupSafe 2.1.3 matplotlib 3.8.0 matplotlib-inline 0.1.6 mccabe 0.7.0 mdit-py-plugins 0.3.0 mdurl 0.1.0 menuinst 2.0.2 mistune 2.0.4 mkl-fft 1.3.8 mkl-random 1.2.4 mkl-service 2.4.0 more-itertools 10.1.0 mplcursors 0.5.3 mpmath 1.3.0 msgpack 1.0.3 multidict 6.0.4 multipledispatch 0.6.0 munkres 1.1.4 mypy 1.8.0 mypy-extensions 1.0.0 navigator-updater 0.4.0 nbclient 0.8.0 nbconvert 7.10.0 nbformat 5.9.2 nest-asyncio 1.6.0 networkx 3.1 nltk 3.8.1 notebook 7.0.8 notebook_shim 0.2.3 numba 0.59.0 numexpr 2.8.7 numpy 1.26.4 numpydoc 1.5.0 openpyxl 3.0.10 overrides 7.4.0 packaging 23.1 pandas 2.1.4 pandocfilters 1.5.0 panel 1.3.8 param 2.0.2 paramiko 2.8.1 parsel 1.8.1 parso 0.8.3 partd 1.4.1 pathlib 1.0.1 pathspec 0.10.3 patsy 0.5.3 pexpect 4.8.0 pickleshare 0.7.5 pillow 10.2.0 pip 23.3.1 pkce 1.0.3 pkginfo 1.9.6 platformdirs 3.10.0 plotly 5.9.0 pluggy 1.0.0 plumbum 1.8.2 ply 3.11 pooch 1.8.1 prometheus-client 0.14.1 prompt-toolkit 3.0.43 Protego 0.1.16 proto-plus 1.23.0 protobuf 3.20.3 psutil 5.9.8 ptyprocess 0.7.0 pure-eval 0.2.2 py-cpuinfo 9.0.0 pyaedt 0.6.70 pyansys 2023.2.0 pyansys-tools-versioning 0.5.0 pyarrow 14.0.2 pyasn1 0.4.8 pyasn1-modules 0.2.8 pycodestyle 2.10.0 pycosat 0.6.6 pycparser 2.21 pyct 0.5.0 pycurl 7.45.2 pydantic 1.10.12 pydeck 0.8.0 PyDispatcher 2.0.5 pydocstyle 6.3.0 pyerfa 2.0.0 pyflakes 3.0.1 Pygments 2.15.1 pyiges 0.3.1 PyJWT 2.4.0 pylint 2.16.2 pylint-venv 2.3.0 pyls-spyder 0.4.0 PyNaCl 1.5.0 pyodbc 5.0.1 pyOpenSSL 24.0.0 pyparsing 3.0.9 pypiwin32 223 PyQt5 5.15.10 PyQt5-sip 12.13.0 PyQtWebEngine 5.15.6 PySocks 1.7.1 pyspnego 0.10.2 pytest 7.4.0 python-dateutil 2.8.2 python-dotenv 0.21.0 python-json-logger 2.0.7 python-lsp-black 1.2.1 python-lsp-jsonrpc 1.0.0 python-lsp-server 1.7.2 python-slugify 5.0.2 python-snappy 0.6.1 pythonnet 3.0.1 pytoolconfig 1.2.6 pytwin 0.3.0 pytz 2023.3.post1 pyvista 0.36.1 pyviz_comms 3.0.0 pywavelets 1.5.0 pywin32 305.1 pywin32-ctypes 0.2.0 pywinpty 2.0.10 PyYAML 6.0.1 pyzmq 25.1.2 QDarkStyle 3.0.2 qstylizer 0.2.2 QtAwesome 1.2.2 qtconsole 5.4.2 QtPy 2.4.1 queuelib 1.6.2 readme-renderer 36.0 referencing 0.30.2 regex 2023.10.3 reliability 0.8.16 requests 2.31.0 requests-file 1.5.1 requests-negotiate-sspi 0.5.2 requests-ntlm 1.2.0 requests-toolbelt 1.0.0 restview 3.0.1 rfc3339-validator 0.1.4 rfc3986-validator 0.1.1 rich 13.3.5 rope 1.7.0 rpds-py 0.10.6 rpyc 5.3.0 rsa 4.9 rst2html5 2.0.1 rstviewer 0.0.8 Rtree 1.0.1 ruamel.yaml 0.17.21 ruamel-yaml-conda 0.17.21 s3fs 2023.10.0 scikit-image 0.22.0 scikit-learn 1.2.2 scipy 1.11.4 scooby 0.9.2 Scrapy 2.8.0 seaborn 0.12.2 semver 2.13.0 Send2Trash 1.8.2 service-identity 18.1.0 setuptools 68.2.2 sip 6.7.12 six 1.16.0 smart-open 5.2.1 smmap 4.0.0 sniffio 1.3.0 snowballstemmer 2.2.0 sortedcontainers 2.4.0 soupsieve 2.5 Sphinx 5.0.2 sphinxcontrib-applehelp 1.0.2 sphinxcontrib-devhelp 1.0.2 sphinxcontrib-htmlhelp 2.0.0 sphinxcontrib-jsmath 1.0.1 sphinxcontrib-qthelp 1.0.3 sphinxcontrib-serializinghtml 1.1.5 spyder 5.4.3 spyder-kernels 2.4.4 SQLAlchemy 2.0.25 sspilib 0.1.0 stack-data 0.2.0 statsmodels 0.14.0 streamlit 1.30.0 sympy 1.12 tables 3.9.2 tabulate 0.9.0 tblib 1.7.0 tenacity 8.2.2 terminado 0.17.1 text-unidecode 1.3 textdistance 4.2.1 threadpoolctl 2.2.0 three-merge 0.1.1 tifffile 2023.4.12 tinycss2 1.2.1 tldextract 3.2.0 toml 0.10.2 tomlkit 0.11.1 toolz 0.12.0 tornado 6.3.3 tqdm 4.65.0 traitlets 5.7.1 truststore 0.8.0 Twisted 23.10.0 twisted-iocpsupport 1.0.2 typing_extensions 4.9.0 tzdata 2023.3 tzlocal 2.1 uc-micro-py 1.0.1 ujson 5.4.0 Unidecode 1.2.0 uritemplate 4.1.1 urllib3 2.0.7 validators 0.18.2 vtk 9.3.0 w3lib 2.1.2 watchdog 2.1.6 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 0.58.0 Werkzeug 2.2.3 whatthepatch 1.0.2 wheel 0.41.2 widgetsnbextension 3.5.2 win-inet-pton 1.1.0 wrapt 1.14.1 xarray 2023.6.0 xlwings 0.29.1 xyzservices 2022.9.0 yapf 0.31.0 yarl 1.9.3 zict 3.0.0 zipp 3.17.0 zope.interface 5.4.0 zstandard 0.19.0

PProfizi commented 2 months ago

HI @SarojBhatta1,

Could you please first pip uninstall -y ansys-dpf-gatebin, pip uninstall -y ansys-dpf-gate, pip uninstall -y ansys-grpc-dpf and then pip install ansys-dpf-core==0.12.0 and pip install ansys-dpf-post==0.8.0. This will get you the latest client packages for DPF in Ansys 2023 R2. Let me know if the problem persists.

SarojBhatta1 commented 2 months ago

Thank you. I will try and let you know.Thank you,SarojOn May 3, 2024, at 1:03 PM, Paul Profizi @.***> wrote: HI @SarojBhatta1, Could you please first pip uninstall -y ansys-dpf-gatebin, pip uninstall -y ansys-dpf-gate and then pip install ansys-dpf-core==0.12.0 and pip install ansys-dpf-post==0.8.0. This will get you the latest client packages for DPF in Ansys 2023 R2. Let me know if the problem persists.

—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you were mentioned.Message ID: @.***>

SarojBhatta1 commented 2 months ago

Hello Paul, Apologies for late response, I was out this week. I followed the steps you suggested: Uninstallations: pip uninstall -y ansys-dpf-gatebin pip uninstall -y ansys-dpf-gate

Installations: pip install ansys-dpf-core==0.12.0 pip install ansys-dpf-post==0.8.0.

I had to uninstall ansys-grpc-dpf as well.

Even after following these steps, I am getting the same error (shown below). What should I do? [image: image.png]

Thank you, Saroj

On Fri, May 3, 2024 at 1:03 PM Paul Profizi @.***> wrote:

HI @SarojBhatta1 https://github.com/SarojBhatta1,

Could you please first pip uninstall -y ansys-dpf-gatebin, pip uninstall -y ansys-dpf-gate and then pip install ansys-dpf-core==0.12.0 and pip install ansys-dpf-post==0.8.0. This will get you the latest client packages for DPF in Ansys 2023 R2. Let me know if the problem persists.

— Reply to this email directly, view it on GitHub https://github.com/ansys/pydpf-core/issues/1555#issuecomment-2093411339, or unsubscribe https://github.com/notifications/unsubscribe-auth/BIGE4MQEIBSGFIHCW3P6SYLZAO7MRAVCNFSM6AAAAABHFZZPRWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJTGQYTCMZTHE . You are receiving this because you were mentioned.Message ID: @.***>

PProfizi commented 2 months ago

Hi @SarojBhatta1 can you please share the new list of currently installed python packages? As well as the error as it did not show in the previous comment.

SarojBhatta1 commented 2 months ago

Hello Paul,

Sure! please find the current list of installed packages. Also, below is the snapshot of the error.

_aiobotocore 2.7.0 aiohttp 3.9.3 aioitertools 0.7.1 aiosignal 1.2.0 alabaster 0.7.12 altair 5.0.1 anaconda-anon-usage 0.4.3 anaconda-catalogs 0.2.0 anaconda-client 1.12.3 anaconda-cloud-auth 0.1.4 anaconda-navigator 2.5.2 anaconda-project 0.11.1 ansys-api-fluent 0.3.5 ansys-api-mapdl 0.5.1 ansys-api-mechanical 0.1.0 ansys-api-meshing-prime 0.1.1 ansys-api-platform-instancemanagement 1.0.0 ansys-api-systemcoupling 0.1.0 ansys-dpf-composites 0.2b2 ansys-dpf-core 0.12.0 ansys-dpf-post 0.8.0 ansys-fluent-core 0.12.5 ansys-grantami-bomanalytics 1.1.3 ansys-grantami-bomanalytics-openapi 1.0.0 ansys-mapdl-core 0.64.1 ansys-mapdl-reader 0.53.0 ansys-math-core 0.1.1 ansys-mechanical-core 0.7.1 ansys-meshing-prime 0.3.0 ansys-motorcad-core 0.1.3 ansys-openapi-common 1.2.1 ansys-optislang-core 0.2.0 ansys-platform-instancemanagement 1.0.3 ansys-pythonnet 3.1.0rc1 ansys-seascape 0.2.0 ansys-systemcoupling-core 0.1.3 anyio 4.2.0 appdirs 1.4.4 archspec 0.2.1 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 arrow 1.2.3 astroid 2.14.2 astropy 5.3.4 asttokens 2.0.5 async-lru 2.0.4 atomicwrites 1.4.0 attrs 23.1.0 autograd 1.6.2 autograd-gamma 0.5.0 Automat 20.2.0 autopep8 1.6.0 Babel 2.11.0 backports.functools-lru-cache 1.6.4 backports.tempfile 1.0 backports.weakref 1.0.post1 bcrypt 3.2.0 beautifulsoup4 4.12.2 binaryornot 0.4.4 black 23.11.0 bleach 4.1.0 blinker 1.6.2 bokeh 3.3.4 boltons 23.0.0 botocore 1.31.64 Bottleneck 1.3.7 Brotli 1.0.9 cachetools 4.2.2 certifi 2024.2.2 cffi 1.16.0 chardet 4.0.0 charset-normalizer 2.0.4 click 8.1.7 cloudpickle 2.2.1 clr-loader 0.2.6 clyent 1.2.2 colorama 0.4.6 colorcet 3.0.1 comm 0.1.2 conda 24.1.2 conda-build 24.1.2 conda-content-trust 0.2.0 conda_index 0.4.0 conda-libmamba-solver 24.1.0 conda-pack 0.6.0 conda-package-handling 2.2.0 conda_package_streaming 0.9.0 conda-repo-cli 1.0.75 conda-token 0.4.0 conda-verify 3.4.2 constantly 23.10.4 contourpy 1.2.0 cookiecutter 2.5.0 cryptography 42.0.2 cssselect 1.2.0 cycler 0.11.0 cytoolz 0.12.2 dask 2023.11.0 datashader 0.16.0 debugpy 1.6.7 decorator 5.1.1 defusedxml 0.7.1 diff-match-patch 20200713 dill 0.3.7 distributed 2023.11.0 distro 1.8.0 docstring-to-markdown 0.11 docutils 0.18.1 entrypoints 0.4 et-xmlfile 1.1.0 executing 0.8.3 fastjsonschema 2.16.2 filelock 3.13.1 flake8 6.0.0 Flask 2.2.5 fonttools 4.25.0 frozenlist 1.4.0 fsspec 2023.10.0 future 0.18.3 Genshi 0.7.7 gensim 4.3.0 gitdb 4.0.7 GitPython 3.1.37 gmpy2 2.1.2 google-api-core 2.18.0 google-api-python-client 2.125.0 google-auth 2.29.0 google-auth-httplib2 0.2.0 googleapis-common-protos 1.63.0 greenlet 3.0.1 grpcio 1.62.1 grpcio-status 1.48.2 h5py 3.9.0 hachiko 0.4.0 HeapDict 1.0.1 holoviews 1.18.3 httplib2 0.22.0 hvplot 0.9.2 hyperlink 21.0.0 idna 3.4 imagecodecs 2023.1.23 imageio 2.33.1 imagesize 1.4.1 imbalanced-learn 0.11.0 importlib-metadata 6.11.0 incremental 22.10.0 inflection 0.5.1 iniconfig 1.1.1 intake 0.6.8 intervaltree 3.1.0 ipykernel 6.28.0 ipython 8.20.0 ipython-genutils 0.2.0 ipywidgets 7.6.5 isort 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image

Thank you, Saroj

SarojBhatta1 commented 1 month ago

Hello Paul,

I hope you received the list and the error that I shared a week back. I am wondering if you have any updates on it?

The code works for some time step data but not for others from the same result (.rst) file, not sure why.

Thank you, Saroj

On Mon, May 13, 2024 at 5:16 AM Paul Profizi @.***> wrote:

Hi @SarojBhatta1 https://github.com/SarojBhatta1 can you please share the new list of currently installed python packages? As well as the error as it did not show in the previous comment.

— Reply to this email directly, view it on GitHub https://github.com/ansys/pydpf-core/issues/1555#issuecomment-2107060366, or unsubscribe https://github.com/notifications/unsubscribe-auth/BIGE4MSAOVPOL4IT5LDKBYDZCCAG3AVCNFSM6AAAAABHFZZPRWVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCMBXGA3DAMZWGY . You are receiving this because you were mentioned.Message ID: @.***>

SarojBhatta1 commented 1 month ago

Any update please? I am not sure what is causing this, so any suggestion/guidance will be a great help. Thank you.

PProfizi commented 3 weeks ago

Hello @SarojBhatta1,

Is the result file particularly big? At this point it is hard to say what is happening without taking a look. Would it be possible to share a file where this is happening to you? (not necessarily via GitHub)

PProfizi commented 3 weeks ago

@rafacanton FYI

SarojBhatta1 commented 3 weeks ago

Hello @PProfizi,

Thank you very much for the response. Yes, the result files are big. The smallest file that I have is about 13GB. I can definitely share that with you. How should I send it to you? Please let me know.

Thank you, Saroj

SarojBhatta1 commented 6 days ago

Please let me know the best way to send you the result file.

Thank you, Saroj

blakeredwine commented 1 day ago

I've encountered the exact error as OP. I can access results up to a particular time step, and then attempts to access past that time step result in the OSError shown below. Results file (file.rst) is ~16gb in size. Screenshot 2024-07-16 094249