CondaPackError : Files managed by conda were found to have been deleted/overwritten
See original GitHub issueIssue Description
Hi, I have seen some of conda-pack updates regarding this issues and I have upgraded my conda-pack to the latest version but the problem is still there.
A bit background story:
Basically I have two environments which actually if I tried to clone (or move using .yml and spec-list.txt), it throws error because the package probably are obsolete/deprecated/not supported anymore because it was created on Jan 2018. So I try to use conda-pack to see if it can wrap the envs.
_CondaPackError: Files managed by conda were found to have been deleted/overwritten in the following packages:
- pandas=‘0.22.0’
- pip=‘9.0.3’
- util-linux=‘2.21’
This is usually due to pip
uninstalling or clobbering conda managed files,
resulting in an inconsistent environment. Please check your environment for
conda/pip conflicts using conda list
, and fix the environment by ensuring
only one version of each package is installed (conda preferred)._
When running conda list on those packages:
_# Name Version Build Channel
geopandas 0.4.0
# Name Version Build Channel pip 9.0.3 py36_0 conda-forge
# Name Version Build Channel util-linux 2.21 0
Anyone could help on these?
PS: updating the package is not an option because it might impact the apps/code that run inside those envs.
Issue Analytics
- State:
- Created 3 years ago
- Comments:19 (7 by maintainers)
I’m seeing a similar issue, with messages like the the one shown below. The part of the error message about pip is spurious, because I have learned from hard experience that one should NEVER use pip under any circumstances.
(py38) >conda-pack -n py38 Collecting packages… CondaPackError: Files managed by conda were found to have been deleted/overwritten in the following packages:
This is usually due to
pip
uninstalling or clobbering conda managed files, resulting in an inconsistent environment. Please check your environment for conda/pip conflicts usingconda list
, and fix the environment by ensuring only one version of each package is installed (conda preferred).When I run conda list, I get the output shown below. As far as I can tell, there is only one version of each package. The list shows that two items came from pypi, but I don’t use pip, so I’m unclear as to how these could have gotten installed.
(py38) >conda list
packages in environment at C:\ProgramData\Anaconda3\envs\py38:
Name Version Build Channel
_anaconda_depends 2020.07 py38_0 alabaster 0.7.12 py_0 anaconda custom py38_1 anaconda-client 1.7.2 py38_0 anaconda-project 0.8.4 py_0 argh 0.26.2 py38_0 argon2-cffi 20.1.0 py38he774522_1 asn1crypto 1.4.0 py_0 astroid 2.4.2 py38_0 astropy 4.0.1.post1 py38he774522_1 astroquery 0.4.1 pyh9f0ad1d_0 conda-forge atomicwrites 1.4.0 py_0 attrs 20.2.0 py_0 autopep8 1.5.4 py_0 babel 2.8.0 py_0 backcall 0.2.0 py_0 backports 1.0 py_2 backports.shutil_get_terminal_size 1.0.0 py38_2 bcrypt 3.2.0 py38he774522_0 beautifulsoup4 4.9.1 py38_0 bitarray 1.5.3 py38he774522_0 bkcharts 0.2 py38_0 blas 1.0 mkl bleach 3.2.1 py_0 blosc 1.20.0 h7bd577a_0 bokeh 2.2.1 py38_0 boto 2.49.0 py38_0 bottleneck 1.3.2 py38h2a96729_1 brotlipy 0.7.0 py38he774522_1000 bzip2 1.0.8 he774522_0 ca-certificates 2020.7.22 0 cached-property 1.5.1 py_1 cartopy 0.18.0 py38hd77ba2b_0 certifi 2020.6.20 py38_0 cffi 1.14.2 py38h7a1dbc1_0 cfitsio 3.470 he774522_5 chardet 3.0.4 py38_1003 click 7.1.2 py_0 cloudpickle 1.6.0 py_0 clyent 1.2.2 py38_1 colorama 0.4.3 py_0 comtypes 1.1.7 py38_1001 conda 4.8.4 py38_0 conda-build 3.20.2 py38_0 conda-pack 0.5.0 py_0 conda-package-handling 1.6.1 py38h62dcd97_0 console_shortcut 0.1.1 4 contextlib2 0.6.0.post1 py_0 cryptography 3.1 py38h7a1dbc1_0 curl 7.69.1 h2a8f88b_0 customimporter 2.0.2 py_0
cycler 0.10.0 py38_0
cython 0.29.21 py38ha925a31_0
cytoolz 0.10.1 py38he774522_0
dask 2.26.0 py_0
dask-core 2.26.0 py_0
decorator 4.4.2 py_0
defusedxml 0.6.0 py_0
diff-match-patch 20200713 py_0
distributed 2.26.0 py38_0
docutils 0.16 py38_1
entrypoints 0.3 py38_0
et_xmlfile 1.0.1 py_1001
expat 2.2.9 h33f27b4_2
fastcache 1.1.0 py38he774522_0
filelock 3.0.12 py_0
flake8 3.8.3 py_0
flask 1.1.2 py_0
freetype 2.10.2 hd328e21_0
freexl 1.0.5 hfa6e2cd_0
fsspec 0.8.0 py_0
future 0.18.2 py38_1
gdal 3.0.2 py38h2fee047_7 conda-forge
geos 3.8.0 h33f27b4_0
geotiff 1.5.1 h5770a2b_1
get_terminal_size 1.0.0 h38e98db_0
gettext 0.19.8.1 hb01d8f6_1002 conda-forge
gevent 20.6.2 py38he774522_0
glib 2.65.0 he4de6d7_0 conda-forge
glob2 0.7 py_0
gmpy2 2.0.8 py38h7edee0f_3
greenlet 0.4.16 py38he774522_0
h5py 2.10.0 nompi_py38h422b98e_102 conda-forge
hdf4 4.2.13 h712560f_2
hdf5 1.10.5 nompi_ha405e13_1104 conda-forge
heapdict 1.0.1 py_0
html5lib 1.1 py_0
icc_rt 2019.0.0 h0cc432a_1
icu 64.2 he025d50_1 conda-forge
idna 2.10 py_0
imageio 2.9.0 py_0
imagesize 1.2.0 py_0
importlib-metadata 1.7.0 py38_0
importlib_metadata 1.7.0 0
iniconfig 1.0.1 py_0
intel-openmp 2020.1 216
intervaltree 3.1.0 py_0
ipdb 0.13.3 pyh9f0ad1d_0 conda-forge
ipykernel 5.3.4 py38h5ca1d4c_0
ipython 7.18.1 py38h5ca1d4c_0
ipython_genutils 0.2.0 py38_0
ipywidgets 7.5.1 py_0
isort 5.4.2 py38_0
itsdangerous 1.1.0 py_0
jdcal 1.4.1 py_0
jedi 0.17.1 py38_0
jinja2 2.11.2 py_0
joblib 0.16.0 py_0
jpeg 9d he774522_0 conda-forge
jplephem 2.15 pyh2f6353c_0 conda-forge
json5 0.9.5 py_0
jsonschema 3.2.0 py38_0
jupyter 1.0.0 py38_7
jupyter_client 6.1.6 py_0
jupyter_console 6.2.0 py_0
jupyter_core 4.6.3 py38_0
jupyterlab 2.2.6 py_0
jupyterlab_server 1.2.0 py_0
kealib 1.4.13 hd6dc3df_0 conda-forge
keyring 21.4.0 py38_0
kiwisolver 1.2.0 py38h74a9793_0
krb5 1.17.1 hc04afaa_0
lazy-object-proxy 1.4.3 py38he774522_0
libarchive 3.4.2 h5e25573_0
libblas 3.8.0 16_mkl conda-forge
libboost 1.67.0 hd9e427e_4
libcblas 3.8.0 16_mkl conda-forge
libclang 9.0.1 default_hf44288c_0
libcurl 7.69.1 h2a8f88b_0
libffi 3.2.1 ha925a31_1007 conda-forge
libflang 5.0.0 h6538335_20180525 conda-forge
libgdal 3.0.2 ha9114c6_7 conda-forge
libiconv 1.15 h1df5818_7
libkml 1.3.0 he5f2a48_4
liblief 0.10.1 ha925a31_0
libllvm9 9.0.1 h21ff451_0
libnetcdf 4.7.3 nompi_hc957ea6_101 conda-forge
libopenblas 0.3.10 pthreads_h1662909_4 conda-forge
libpng 1.6.37 h2a8f88b_0
libpq 12.2 h3235a2c_0
libsodium 1.0.18 h62dcd97_0
libspatialindex 1.9.3 h33f27b4_0
libspatialite 4.3.0a h7ffb84d_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_1
libwebp 1.0.2 hfa6e2cd_5 conda-forge
libxml2 2.9.10 h464c3ec_1
libxslt 1.1.34 he774522_0
llvm-meta 5.0.0 0 conda-forge
llvmlite 0.31.0 py38ha925a31_0
locket 0.2.0 py38_1
lxml 4.5.2 py38h1350720_0
lz4-c 1.9.2 h62dcd97_1
lzo 2.10 he774522_2
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
markupsafe 1.1.1 py38he774522_0
matplotlib 3.3.1 0
matplotlib-base 3.3.1 py38hba9282a_0
mccabe 0.6.1 py38_1
menuinst 1.4.16 py38he774522_1
mistune 0.8.4 py38he774522_1000
mkl 2020.1 216
mkl-service 2.3.0 py38hb782905_0
mkl_fft 1.2.0 py38h45dec08_0
mkl_random 1.1.1 py38h47e9c7a_0
mock 4.0.2 py_0
more-itertools 8.5.0 py_0
mpc 1.1.0 h7edee0f_1
mpfr 4.0.2 h62dcd97_1
mpir 3.0.0 hec2e145_1
mpmath 1.1.0 py38_0
msgpack-python 1.0.0 py38h74a9793_1
msys2-conda-epoch 20160418 1
multipledispatch 0.6.0 py38_0
nbconvert 5.6.1 py38_0
nbformat 5.0.7 py_0
networkx 2.5 py_0
nltk 3.5 py_0
nose 1.3.7 py38_2
notebook 6.1.1 py38_0
numba 0.48.0 py38h47e9c7a_0
numexpr 2.7.1 py38h25d0782_0
numpy 1.19.1 py38h5510c5b_0
numpy-base 1.19.1 py38ha3acd2a_0
numpydoc 1.1.0 py_0
olefile 0.46 py_0
openjpeg 2.3.1 h57dd2e7_3 conda-forge
openmp 5.0.0 vc14_1 conda-forge
openpyxl 3.0.5 py_0
openssl 1.1.1g he774522_1
owslib 0.20.0 py_0
packaging 20.4 py_0
pandas 1.1.1 py38ha925a31_0
pandoc 2.10.1 0
pandocfilters 1.4.2 py38_1
paramiko 2.7.2 py_0
parso 0.7.0 py_0
partd 1.1.0 py_0
path 15.0.0 py38_0
path.py 12.5.0 0
pathlib2 2.3.5 py38_0
pathtools 0.1.2 py_1
patsy 0.5.1 py38_0
pcre 8.44 ha925a31_0
pep8 1.7.1 py38_0
pexpect 4.8.0 py38_0
pickleshare 0.7.5 py38_1000
pillow 7.2.0 py38hcc1f983_0
pip 20.2.2 py38_0
pkginfo 1.5.0.1 py38_0
plotly 4.10.0 py_0
pluggy 0.13.1 py38_0
ply 3.11 py38_0
poliastro 0.14.0 py_1 conda-forge
poppler 0.67.0 h1707e21_8 conda-forge
poppler-data 0.4.9 1 conda-forge
postgresql 12.2 h3235a2c_0
powershell_shortcut 0.0.1 3
progressbar2 3.37.1 py38_0
proj 6.2.1 h9f7ef89_0
prometheus_client 0.8.0 py_0
prompt-toolkit 3.0.7 py_0
prompt_toolkit 3.0.7 0
psutil 5.7.2 py38he774522_0
py 1.9.0 py_0
py-lief 0.10.1 py38ha925a31_0
pycodestyle 2.6.0 py_0
pycosat 0.6.3 py38he774522_0
pycparser 2.20 py_2
pycurl 7.43.0.5 py38h7a1dbc1_0
pydocstyle 5.1.1 py_0
pyepsg 0.4.0 py_0
pyflakes 2.2.0 py_0
pygments 2.7.0 py_0
pykdtree 1.3.1 py38h8c2d366_1002
pylint 2.6.0 py38_0
pynacl 1.4.0 py38h62dcd97_1
pyodbc 4.0.30 py38ha925a31_0
pyopenssl 19.1.0 py_1
pyparsing 2.4.7 py_0
pyperclip 1.8.0 pyh9f0ad1d_0 conda-forge
pyproj 2.6.1.post1 py38hcfa1391_1
pyqt 5.12.3 py38h6538335_1 conda-forge
pyqt5-sip 4.19.18 pypi_0 pypi
pyqtwebengine 5.12.1 pypi_0 pypi
pyreadline 2.1 py38_1
pyrsistent 0.17.3 py38he774522_0
pyshp 2.1.2 py_0
pyside2 5.13.2 py38hfa7ce6d_2 conda-forge
pysocks 1.7.1 py38_0
pytables 3.6.1 py38h26f9782_1 conda-forge
pytest 6.0.2 py38_0
pytest-runner 5.2 py_0
python 3.8.5 h5fd99cc_1
python-dateutil 2.8.1 py_0
python-docx 0.8.10 py_0 conda-forge
python-jsonrpc-server 0.4.0 py_0
python-language-server 0.35.1 py_0
python-libarchive-c 2.9 py_0
python-utils 2.3.0 py38_0
pytz 2020.1 py_0
pywavelets 1.1.1 py38he774522_0
pywin32 227 py38he774522_1
pywin32-ctypes 0.2.0 py38_1000
pywinpty 0.5.7 py38_0
pyyaml 5.3.1 py38he774522_1
pyzmq 19.0.1 py38ha925a31_1
qdarkstyle 2.8.1 py_0
qt 5.12.5 h7ef1ec2_0 conda-forge
qtawesome 0.7.2 py_0
qtconsole 4.7.6 py_0
qtpy 1.9.0 py_0
regex 2020.7.14 py38he774522_0
requests 2.24.0 py_0
retrying 1.3.3 py_2
ripgrep 11.0.2 0
rope 0.17.0 py_0
rtree 0.9.4 py38h21ff451_1
ruamel_yaml 0.15.87 py38he774522_1
scikit-image 0.16.2 py38h47e9c7a_0
scikit-learn 0.23.2 py38h47e9c7a_0
scipy 1.5.0 py38h9439919_0
seaborn 0.10.1 py_0
send2trash 1.5.0 py38_0
setuptools 49.6.0 py38_0
shapely 1.7.1 py38h210f175_0
simplegeneric 0.8.1 py38_2
singledispatch 3.4.0.3 py38_0
sip 4.19.24 py38ha925a31_0
six 1.15.0 py_0
snappy 1.1.8 h33f27b4_0
snowballstemmer 2.0.0 py_0
sortedcollections 1.2.1 py_0
sortedcontainers 2.2.2 py_0
soupsieve 2.0.1 py_0
sphinx 3.2.1 py_0
sphinxcontrib 1.0 py38_1
sphinxcontrib-applehelp 1.0.2 py_0
sphinxcontrib-devhelp 1.0.2 py_0
sphinxcontrib-htmlhelp 1.0.3 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.3 py_0
sphinxcontrib-serializinghtml 1.1.4 py_0
sphinxcontrib-websupport 1.2.4 py_0
spyder 4.1.5 py38_0
spyder-kernels 1.9.4 py38_0
sqlalchemy 1.3.19 py38he774522_0
sqlite 3.33.0 h2a8f88b_0
statsmodels 0.11.1 py38he774522_0
sympy 1.6.2 py38_0
tbb 2020.2 h74a9793_0
tblib 1.7.0 py_0
terminado 0.8.3 py38_0
testpath 0.4.4 py_0
threadpoolctl 2.1.0 pyh5ca1d4c_0
tiledb 1.7.0 h0b90766_4 conda-forge
tk 8.6.10 he774522_0
toml 0.10.1 py_0
toolz 0.10.0 py_0
tornado 6.0.4 py38he774522_1
tqdm 4.48.2 py_0
traitlets 4.3.3 py38_0
typing_extensions 3.7.4.3 py_0
ujson 3.1.0 py38ha925a31_0
unicodecsv 0.14.1 py38_0
urllib3 1.25.10 py_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_3
watchdog 0.10.3 py38_0
wcwidth 0.2.5 py_0
webencodings 0.5.1 py38_1
werkzeug 1.0.1 py_0
wheel 0.35.1 py_0
widgetsnbextension 3.5.1 py38_0
win_inet_pton 1.1.0 py38_0
win_unicode_console 0.5 py38_0
wincertstore 0.2 py38_0
winpty 0.4.3 4
wrapt 1.11.2 py38he774522_0
xerces-c 3.2.2 ha925a31_0
xlrd 1.2.0 py_0
xlsxwriter 1.3.3 py_0
xlwings 0.20.5 py38_0
xlwt 1.3.0 py38_0
xz 5.2.5 h62dcd97_0
yaml 0.2.5 he774522_0
yapf 0.30.0 py_0
zeromq 4.3.2 ha925a31_3
zict 2.0.0 py_0
zipp 3.1.0 py_0
zlib 1.2.11 h62dcd97_4
zope 1.0 py38_1
zope.event 4.4 py38_0
zope.interface 5.1.0 py38he774522_0
zstd 1.4.5 h04227a9_0
@Phillip-M-Feldman please try the
--ignore-missing-files
in your case. I’ve noticed this problem with the Python package as well. It’s a duplicate of #145 .@AaronFaltesek that is, to be frank, way too many Pip packages. Conda-pack is intended to pack environments that were built almost exclusively with conda. In particular, pip packages with binary files have a high probability of failure. You too can try
--ignore-missing-files
but I would be very concerned that this just will not work for your environment.