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Witam
proboje dokonac update spyder:
conda update anaconda
daje taki błąd:
# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< Traceback (most recent call last): File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/cli/main.py", line 140, in main return activator_main() File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/activate.py", line 1210, in main print(activator.execute(), end='') File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/activate.py", line 178, in execute return getattr(self, self.command)() File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/activate.py", line 160, in reactivate return self._finalize(self._yield_commands(self.build_reactivate()), File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/activate.py", line 502, in build_reactivate new_path = self.pathsep_join(self._replace_prefix_in_path(conda_prefix, conda_prefix)) File "/home/dugy/anaconda3/lib/python3.8/site-packages/conda/activate.py", line 630, in _replace_prefix_in_path if path_list[last_idx + 1] == library_bin_dir: IndexError: list index out of range `$ /home/dugy/anaconda3/bin/conda shell.posix reactivate` environment variables: CIO_TEST=<not set> CONDA_DEFAULT_ENV=base CONDA_EXE=/home/dugy/anaconda3/bin/conda CONDA_PREFIX=/home/dugy/anaconda3 CONDA_PROMPT_MODIFIER=(base) CONDA_PYTHON_EXE=/home/dugy/anaconda3/bin/python CONDA_ROOT=/home/dugy/anaconda3 CONDA_SHLVL=1 CURL_CA_BUNDLE=<not set> PATH=/home/dugy/anaconda3/bin:/usr/local/bin:/usr/bin:/bin:/usr/local/games :/usr/games:/home/dugy/anaconda3/bin REQUESTS_CA_BUNDLE=<not set> SSL_CERT_FILE=<not set> active environment : base active env location : /home/dugy/anaconda3 shell level : 1 user config file : /root/.condarc populated config files : /root/.condarc conda version : 4.10.3 conda-build version : 3.21.5 python version : 3.8.12.final.0 virtual packages : __linux=5.10.0=0 __glibc=2.31=0 __unix=0=0 __archspec=1=x86_64 base environment : /home/dugy/anaconda3 (writable) conda av data dir : /home/dugy/anaconda3/etc/conda conda av metadata url : None channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 https://repo.anaconda.com/pkgs/main/noarch https://repo.anaconda.com/pkgs/r/linux-64 https://repo.anaconda.com/pkgs/r/noarch package cache : /home/dugy/anaconda3/pkgs /root/.conda/pkgs envs directories : /home/dugy/anaconda3/envs /root/.conda/envs platform : linux-64 user-agent : conda/4.10.3 requests/2.26.0 CPython/3.8.12 Linux/5.10.0-8-amd64 debian/11 glibc/2.31 UID:GID : 0:0 netrc file : None offline mode : False An unexpected error has occurred. Conda has prepared the above report.
dalej proba aktualizacji spyder tez sie nie udaje. Co jest nie tak?
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W terminalu widzisz swoje aktywne środowisko, jak poniżej?
(base) $
Chyba konieczna będzie (re)aktywacja środowiska.
Pokaż wynik
conda info --envs
Ostatnio edytowany przez samu (2021-11-06 12:51:37)
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(base) dugy@debian:~$ conda info --envs # conda environments: # base * /home/dugy/anaconda workenv /home/dugy/anaconda/envs/workenv
Taki komunikat dostaje jak chce zaktualizowac z poziomu anacondy:
NotWritableError: The current user does not have write permissions to a required path. path: /home/dugy/anaconda/pkgs/cache/f1f1f480.json uid: 1000 gid: 1000 If you feel that permissions on this path are set incorrectly, you can manually change them by executing $ sudo chown 1000:1000 /home/dugy/anaconda/pkgs/cache/f1f1f480.json In general, it's not advisable to use 'sudo conda'.
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Plik konfiguracji siedzi w
/root/.condarc
Wydaje się, że powinien w katalogu domowym.
Spróbuj:
conda config --write-default
Następnie:
conda update conda
Ostatnio edytowany przez samu (2021-11-14 23:00:02)
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Witam
taki wynik dla: conda config --write-default
później zrobiłem: conda config --describe
natomiast update nie dało efektu żadnego
(base) dugy@debian:~$ conda config --write-default CondaError: The file '/home/dugy/.condarc' already contains configuration information. Remove the file to proceed. Use `conda config --describe` to display default configuration. (base) dugy@debian:~$ conda config --describe # ###################################################### # ## Channel Configuration ## # ###################################################### # # channels (sequence: primitive) # # aliases: channel # # env var string delimiter: ',' # # The list of conda channels to include for relevant operations. # # # channels: # - defaults # # channel_alias (str) # # The prepended url location to associate with channel names. # # # channel_alias: https://conda.anaconda.org # # default_channels (sequence: primitive) # # env var string delimiter: ',' # # The list of channel names and/or urls used for the 'defaults' # # multichannel. # # # default_channels: # - https://repo.anaconda.com/pkgs/main # - https://repo.anaconda.com/pkgs/r # # override_channels_enabled (bool) # # Permit use of the --overide-channels command-line flag. # # # override_channels_enabled: true # # whitelist_channels (sequence: primitive) # # env var string delimiter: ',' # # The exclusive list of channels allowed to be used on the system. Use # # of any other channels will result in an error. If conda-build channels # # are to be allowed, along with the --use-local command line flag, be # # sure to include the 'local' channel in the list. If the list is empty # # or left undefined, no channel exclusions will be enforced. # # # whitelist_channels: [] # # custom_channels (map: primitive) # # A map of key-value pairs where the key is a channel name and the value # # is a channel location. Channels defined here override the default # # 'channel_alias' value. The channel name (key) is not included in the # # channel location (value). For example, to override the location of # # the 'conda-forge' channel where the url to repodata is # # https://anaconda-repo.dev/packages/conda-forge/linux-64/repodata.json, # # add an entry 'conda-forge: https://anaconda-repo.dev/packages'. # # # custom_channels: # pkgs/pro: https://repo.anaconda.com # # custom_multichannels (map: sequence) # # A multichannel is a metachannel composed of multiple channels. The two # # reserved multichannels are 'defaults' and 'local'. The 'defaults' # # multichannel is customized using the 'default_channels' parameter. The # # 'local' multichannel is a list of file:// channel locations where # # conda-build stashes successfully-built packages. Other multichannels # # can be defined with custom_multichannels, where the key is the # # multichannel name and the value is a list of channel names and/or # # channel urls. # # # custom_multichannels: {} # # migrated_channel_aliases (sequence: primitive) # # env var string delimiter: ',' # # A list of previously-used channel_alias values. Useful when switching # # between different Anaconda Repository instances. # # # migrated_channel_aliases: [] # # migrated_custom_channels (map: primitive) # # A map of key-value pairs where the key is a channel name and the value # # is the previous location of the channel. # # # migrated_custom_channels: {} # # add_anaconda_token (bool) # # aliases: add_binstar_token # # In conjunction with the anaconda command-line client (installed with # # `conda install anaconda-client`), and following logging into an # # Anaconda Server API site using `anaconda login`, automatically apply a # # matching private token to enable access to private packages and # # channels. # # # add_anaconda_token: true # # allow_non_channel_urls (bool) # # Warn, but do not fail, when conda detects a channel url is not a valid # # channel. # # # allow_non_channel_urls: false # # restore_free_channel (bool) # # " Add the "free" channel back into defaults, behind # # "main" in priority. The "free" channel was removed # # from the collection of default channels in conda 4.7.0. # # # restore_free_channel: false # # repodata_fns (sequence: primitive) # # env var string delimiter: ',' # # Specify filenames for repodata fetching. The default is # # ('current_repodata.json', 'repodata.json'), which tries a subset of # # the full index containing only the latest version for each package, # # then falls back to repodata.json. You may want to specify something # # else to use an alternate index that has been reduced somehow. # # # repodata_fns: # - current_repodata.json # - repodata.json # # use_only_tar_bz2 (NoneType, bool) # # A boolean indicating that only .tar.bz2 conda packages should be # # downloaded. This is forced to True if conda-build is installed and # # older than 3.18.3, because older versions of conda break when conda # # feeds it the new file format. # # # use_only_tar_bz2: # # repodata_threads (int) # # Threads to use when downloading and reading repodata. When not set, # # defaults to None, which uses the default ThreadPoolExecutor behavior. # # # repodata_threads: 0 # ###################################################### # ## Basic Conda Configuration ## # ###################################################### # # envs_dirs (sequence: primitive) # # aliases: envs_path # # env var string delimiter: ':' # # The list of directories to search for named environments. When # # creating a new named environment, the environment will be placed in # # the first writable location. # # # envs_dirs: [] # # pkgs_dirs (sequence: primitive) # # env var string delimiter: ',' # # The list of directories where locally-available packages are linked # # from at install time. Packages not locally available are downloaded # # and extracted into the first writable directory. # # # pkgs_dirs: [] # # default_threads (int) # # Threads to use by default for parallel operations. Default is None, # # which allows operations to choose themselves. For more specific # # control, see the other *_threads parameters: * repodata_threads - # # for fetching/loading repodata * verify_threads - for verifying # # package contents in transactions * execute_threads - for carrying # # out the unlinking and linking steps # # # default_threads: 0 # ###################################################### # ## Network Configuration ## # ###################################################### # # client_ssl_cert (NoneType, str) # # aliases: client_cert # # A path to a single file containing a private key and certificate (e.g. # # .pem file). Alternately, use client_ssl_cert_key in conjuction with # # client_ssl_cert for individual files. # # # client_ssl_cert: # # client_ssl_cert_key (NoneType, str) # # aliases: client_cert_key # # Used in conjunction with client_ssl_cert for a matching key file. # # # client_ssl_cert_key: # # local_repodata_ttl (bool, int) # # For a value of False or 0, always fetch remote repodata (HTTP 304 # # responses respected). For a value of True or 1, respect the HTTP # # Cache-Control max-age header. Any other positive integer values is the # # number of seconds to locally cache repodata before checking the remote # # server for an update. # # # local_repodata_ttl: 1 # # offline (bool) # # Restrict conda to cached download content and file:// based urls. # # # offline: false # # proxy_servers (map: primitive) # # A mapping to enable proxy settings. Keys can be either (1) a # # scheme://hostname form, which will match any request to the given # # scheme and exact hostname, or (2) just a scheme, which will match # # requests to that scheme. Values are are the actual proxy server, and # # are of the form 'scheme://[user:password@]host[:port]'. The optional # # 'user:password' inclusion enables HTTP Basic Auth with your proxy. # # # proxy_servers: {} # # remote_connect_timeout_secs (float) # # The number seconds conda will wait for your client to establish a # # connection to a remote url resource. # # # remote_connect_timeout_secs: 9.15 # # remote_max_retries (int) # # The maximum number of retries each HTTP connection should attempt. # # # remote_max_retries: 3 # # remote_backoff_factor (int) # # The factor determines the time HTTP connection should wait for # # attempt. # # # remote_backoff_factor: 1 # # remote_read_timeout_secs (float) # # Once conda has connected to a remote resource and sent an HTTP # # request, the read timeout is the number of seconds conda will wait for # # the server to send a response. # # # remote_read_timeout_secs: 60.0 # # ssl_verify (bool, str) # # aliases: verify_ssl # # Conda verifies SSL certificates for HTTPS requests, just like a web # # browser. By default, SSL verification is enabled, and conda operations # # will fail if a required url's certificate cannot be verified. Setting # # ssl_verify to False disables certification verification. The value for # # ssl_verify can also be (1) a path to a CA bundle file, or (2) a path # # to a directory containing certificates of trusted CA. # # # ssl_verify: true # ###################################################### # ## Solver Configuration ## # ###################################################### # # aggressive_update_packages (sequence: primitive) # # env var string delimiter: ',' # # A list of packages that, if installed, are always updated to the # # latest possible version. # # # aggressive_update_packages: # - ca-certificates # - certifi # - openssl # # auto_update_conda (bool) # # aliases: self_update # # Automatically update conda when a newer or higher priority version is # # detected. # # # auto_update_conda: true # # channel_priority (ChannelPriority) # # Accepts values of 'strict', 'flexible', and 'disabled'. The default # # value is 'flexible'. With strict channel priority, packages in lower # # priority channels are not considered if a package with the same name # # appears in a higher priority channel. With flexible channel priority, # # the solver may reach into lower priority channels to fulfill # # dependencies, rather than raising an unsatisfiable error. With channel # # priority disabled, package version takes precedence, and the # # configured priority of channels is used only to break ties. In # # previous versions of conda, this parameter was configured as either # # True or False. True is now an alias to 'flexible'. # # # channel_priority: flexible # # create_default_packages (sequence: primitive) # # env var string delimiter: ',' # # Packages that are by default added to a newly created environments. # # # create_default_packages: [] # # disallowed_packages (sequence: primitive) # # aliases: disallow # # env var string delimiter: '&' # # Package specifications to disallow installing. The default is to allow # # all packages. # # # disallowed_packages: [] # # force_reinstall (bool) # # Ensure that any user-requested package for the current operation is # # uninstalled and reinstalled, even if that package already exists in # # the environment. # # # force_reinstall: false # # pinned_packages (sequence: primitive) # # env var string delimiter: '&' # # A list of package specs to pin for every environment resolution. This # # parameter is in BETA, and its behavior may change in a future release. # # # pinned_packages: [] # # pip_interop_enabled (bool) # # Allow the conda solver to interact with non-conda-installed python # # packages. # # # pip_interop_enabled: false # # track_features (sequence: primitive) # # env var string delimiter: ',' # # A list of features that are tracked by default. An entry here is # # similar to adding an entry to the create_default_packages list. # # # track_features: [] # ###################################################### # ## Package Linking and Install-time Configuration ## # ###################################################### # # allow_softlinks (bool) # # When allow_softlinks is True, conda uses hard-links when possible, and # # soft-links (symlinks) when hard-links are not possible, such as when # # installing on a different filesystem than the one that the package # # cache is on. When allow_softlinks is False, conda still uses hard- # # links when possible, but when it is not possible, conda copies files. # # Individual packages can override this setting, specifying that certain # # files should never be soft-linked (see the no_link option in the build # # recipe documentation). # # # allow_softlinks: false # # always_copy (bool) # # aliases: copy # # Register a preference that files be copied into a prefix during # # install rather than hard-linked. # # # always_copy: false # # always_softlink (bool) # # aliases: softlink # # Register a preference that files be soft-linked (symlinked) into a # # prefix during install rather than hard-linked. The link source is the # # 'pkgs_dir' package cache from where the package is being linked. # # WARNING: Using this option can result in corruption of long-lived # # conda environments. Package caches are *caches*, which means there is # # some churn and invalidation. With this option, the contents of # # environments can be switched out (or erased) via operations on other # # environments. # # # always_softlink: false # # path_conflict (PathConflict) # # The method by which conda handle's conflicting/overlapping paths # # during a create, install, or update operation. The value must be one # # of 'clobber', 'warn', or 'prevent'. The '--clobber' command-line flag # # or clobber configuration parameter overrides path_conflict set to # # 'prevent'. # # # path_conflict: clobber # # rollback_enabled (bool) # # Should any error occur during an unlink/link transaction, revert any # # disk mutations made to that point in the transaction. # # # rollback_enabled: true # # safety_checks (SafetyChecks) # # Enforce available safety guarantees during package installation. The # # value must be one of 'enabled', 'warn', or 'disabled'. # # # safety_checks: warn # # extra_safety_checks (bool) # # Spend extra time validating package contents. Currently, runs sha256 # # verification on every file within each package during installation. # # # extra_safety_checks: false # # signing_metadata_url_base (NoneType, str) # # Base URL for obtaining trust metadata updates (i.e., the `*.root.json` # # and `key_mgr.json` files) used to verify metadata and (eventually) # # package signatures. # # # signing_metadata_url_base: # # shortcuts (bool) # # Allow packages to create OS-specific shortcuts (e.g. in the Windows # # Start Menu) at install time. # # # shortcuts: true # # non_admin_enabled (bool) # # Allows completion of conda's create, install, update, and remove # # operations, for non-privileged (non-root or non-administrator) users. # # # non_admin_enabled: true # # separate_format_cache (bool) # # Treat .tar.bz2 files as different from .conda packages when filenames # # are otherwise similar. This defaults to False, so that your package # # cache doesn't churn when rolling out the new package format. If you'd # # rather not assume that a .tar.bz2 and .conda from the same place # # represent the same content, set this to True. # # # separate_format_cache: false # # verify_threads (int) # # Threads to use when performing the transaction verification step. # # When not set, defaults to 1. # # # verify_threads: 0 # # execute_threads (int) # # Threads to use when performing the unlink/link transaction. When not # # set, defaults to 1. This step is pretty strongly I/O limited, and you # # may not see much benefit here. # # # execute_threads: 0 # ###################################################### # ## Conda-build Configuration ## # ###################################################### # # bld_path (str) # # The location where conda-build will put built packages. Same as # # 'croot', but 'croot' takes precedence when both are defined. Also used # # in construction of the 'local' multichannel. # # # bld_path: '' # # croot (str) # # The location where conda-build will put built packages. Same as # # 'bld_path', but 'croot' takes precedence when both are defined. Also # # used in construction of the 'local' multichannel. # # # croot: '' # # anaconda_upload (NoneType, bool) # # aliases: binstar_upload # # Automatically upload packages built with conda build to anaconda.org. # # # anaconda_upload: # # conda_build (map: primitive) # # aliases: conda-build # # General configuration parameters for conda-build. # # # conda_build: {} # ###################################################### # ## Output, Prompt, and Flow Control Configuration ## # ###################################################### # # always_yes (NoneType, bool) # # aliases: yes # # Automatically choose the 'yes' option whenever asked to proceed with a # # conda operation, such as when running `conda install`. # # # always_yes: # # auto_activate_base (bool) # # Automatically activate the base environment during shell # # initialization. # # # auto_activate_base: true # # auto_stack (int) # # Implicitly use --stack when using activate if current level of nesting # # (as indicated by CONDA_SHLVL environment variable) is less than or # # equal to specified value. 0 or false disables automatic stacking, 1 or # # true enables it for one level. # # # auto_stack: 0 # # changeps1 (bool) # # When using activate, change the command prompt ($PS1) to include the # # activated environment. # # # changeps1: true # # env_prompt (str) # # Template for prompt modification based on the active environment. # # Currently supported template variables are '{prefix}', '{name}', and # # '{default_env}'. '{prefix}' is the absolute path to the active # # environment. '{name}' is the basename of the active environment # # prefix. '{default_env}' holds the value of '{name}' if the active # # environment is a conda named environment ('-n' flag), or otherwise # # holds the value of '{prefix}'. Templating uses python's str.format() # # method. # # # env_prompt: '({default_env}) ' # # json (bool) # # Ensure all output written to stdout is structured json. # # # json: false # # notify_outdated_conda (bool) # # Notify if a newer version of conda is detected during a create, # # install, update, or remove operation. # # # notify_outdated_conda: true # # quiet (bool) # # Disable progress bar display and other output. # # # quiet: false # # report_errors (NoneType, bool) # # Opt in, or opt out, of automatic error reporting to core maintainers. # # Error reports are anonymous, with only the error stack trace and # # information given by `conda info` being sent. # # # report_errors: # # show_channel_urls (NoneType, bool) # # Show channel URLs when displaying what is going to be downloaded. # # # show_channel_urls: # # verbosity (int) # # aliases: verbose # # Sets output log level. 0 is warn. 1 is info. 2 is debug. 3 is trace. # # # verbosity: 0 # # unsatisfiable_hints (bool) # # A boolean to determine if conda should find conflicting packages in # # the case of a failed install. # # # unsatisfiable_hints: true # # unsatisfiable_hints_check_depth (int) # # An integer that specifies how many levels deep to search for # # unsatisfiable dependencies. If this number is 1 it will complete the # # unsatisfiable hints fastest (but perhaps not the most complete). The # # higher this number, the longer the generation of the unsat hint will # # take. Defaults to 3. # # # unsatisfiable_hints_check_depth: 2
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Pokaż wyniki poniższych komend :
$ conda update -n base -c defaults conda
$ conda update --update-all
Ostatnio edytowany przez samu (2021-11-15 18:02:19)
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W załączeniu:
(base) dugy@debian:~$ conda update -n base -c defaults conda Collecting package metadata (current_repodata.json): failed NotWritableError: The current user does not have write permissions to a required path. path: /home/dugy/anaconda/pkgs/cache/f1f1f480.json uid: 1000 gid: 1000 If you feel that permissions on this path are set incorrectly, you can manually change them by executing $ sudo chown 1000:1000 /home/dugy/anaconda/pkgs/cache/f1f1f480.json In general, it's not advisable to use 'sudo conda'. (base) dugy@debian:~$ conda update --update-all Collecting package metadata (current_repodata.json): failed NotWritableError: The current user does not have write permissions to a required path. path: /home/dugy/anaconda/pkgs/cache/f1f1f480.json uid: 1000 gid: 1000 If you feel that permissions on this path are set incorrectly, you can manually change them by executing $ sudo chown 1000:1000 /home/dugy/anaconda/pkgs/cache/f1f1f480.json In general, it's not advisable to use 'sudo conda'.
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export CONDA_ENVS_PATH=${HOME}/anaconda3/envs
conda clean -i
conda update --update-all
Ostatnio edytowany przez samu (2021-11-18 01:04:52)
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niestety nie dziala - anakonda sie nie otwiera
conda update --update-all daje taki komunikat
(base) dugy@debian:~$ conda update --update-all
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /home/dugy/anaconda
The following NEW packages will be INSTALLED:
daal4py pkgs/main/linux-64::daal4py-2021.3.0-py38hae6d005_0
dal pkgs/main/linux-64::dal-2021.3.0-h06a4308_557
libllvm11 pkgs/main/linux-64::libllvm11-11.1.0-h3826bc1_0
mpi pkgs/main/linux-64::mpi-1.0-mpich
mpich pkgs/main/linux-64::mpich-3.3.2-hc856adb_0
python-lsp-black pkgs/main/noarch::python-lsp-black-1.0.0-pyhd3eb1b0_0
python-lsp-jsonrpc pkgs/main/noarch::python-lsp-jsonrpc-1.0.0-pyhd3eb1b0_0
python-lsp-server pkgs/main/noarch::python-lsp-server-1.2.4-pyhd3eb1b0_0
scikit-learn-inte~ pkgs/main/linux-64::scikit-learn-intelex-2021.3.0-py38h06a4308_0
tbb4py pkgs/main/linux-64::tbb4py-2021.4.0-py38hd09550d_0
The following packages will be REMOVED:
libllvm10-10.0.1-hbcb73fb_5
libllvm9-9.0.1-h4a3c616_1
pandoc-2.12-h06a4308_0
pathtools-0.1.2-pyhd3eb1b0_1
pyls-black-0.4.6-hd3eb1b0_0
python-jsonrpc-server-0.4.0-py_0
python-language-server-0.36.2-pyhd3eb1b0_0
The following packages will be UPDATED:
_anaconda_depends 2020.07-py38_0 --> 2021.11-py38_0
autopep8 1.5.6-pyhd3eb1b0_0 --> 1.5.7-pyhd3eb1b0_0
flake8 3.9.0-pyhd3eb1b0_0 --> 3.9.2-pyhd3eb1b0_0
jedi 0.17.2-py38h06a4308_1 --> 0.18.0-py38h06a4308_1
llvmlite 0.36.0-py38h612dafd_4 --> 0.37.0-py38h295c915_1
numba 0.53.1-py38ha9443f7_0 --> 0.54.1-py38h51133e4_0
parso 0.7.0-py_0 --> 0.8.2-pyhd3eb1b0_0
pycodestyle 2.6.0-pyhd3eb1b0_0 --> 2.7.0-pyhd3eb1b0_0
pyflakes 2.2.0-pyhd3eb1b0_0 --> 2.3.1-pyhd3eb1b0_0
pyls-spyder 0.3.2-pyhd3eb1b0_0 --> 0.4.0-pyhd3eb1b0_0
qtawesome 1.0.2-pyhd3eb1b0_0 --> 1.0.3-pyhd3eb1b0_0
spyder 5.0.0-py38h06a4308_1 --> 5.1.5-py38h06a4308_1
spyder-kernels 2.0.5-py38h06a4308_0 --> 2.1.3-py38h06a4308_0
tbb 2020.3-hfd86e86_0 --> 2021.4.0-hd09550d_0
watchdog 1.0.2-py38h06a4308_1 --> 2.1.3-py38h06a4308_0
The following packages will be DOWNGRADED:
jupyter_client 7.0.6-pyhd3eb1b0_0 --> 6.1.12-pyhd3eb1b0_0
numpy 1.21.2-py38h20f2e39_0 --> 1.20.3-py38hf144106_0
numpy-base 1.21.2-py38h79a1101_0 --> 1.20.3-py38h74d4b33_0
statsmodels 0.13.0-py38h7f8727e_0 --> 0.12.2-py38h27cfd23_0
Proceed ([y]/n)? y
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
ERROR conda.core.link:_execute(699): An error occurred while uninstalling package 'defaults/linux-64::statsmodels-0.13.0-py38h7f8727e_0'.
Rolling back transaction: done
[Errno 13] Permission denied: '/home/dugy/anaconda/lib/python3.8/site-packages/statsmodels-0.13.0.dist-info/INSTALLER' -> '/home/dugy/anaconda/lib/python3.8/site-packages/statsmodels-0.13.0.dist-info/INSTALLER.c~'
()
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Na Twoim miejscu usunąłbym w pizdu całość condy, a później ponownie postawił.
https://docs.conda.io/projects/conda/en/latest/user-guide/install/rpm-debian.html
A dlaczego nie virtualenv lub pipenv? ;)
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Poszedłem za twoja rada i instaluje od nowa tym razem mam dziwny problem:
cały czas mam komunikat:
dugy@debian:~/Pobrane$ sudo sh Anaconda3-2021.11-Linux-x86_64.sh [sudo] hasło użytkownika dugy: dugy nie występuje w pliku sudoers. Ten incydent zostanie zgłoszony.
wiec spróbowałem dodać sie do sudo i ....:
dugy@debian:~$ usermod -a -G sudo dugy bash: usermod: nie znaleziono polecenia
nie wiem co jest grane
nie wiem czy to nie powinien być oddzielny temat?
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Postępuj według instrukcji:
https://docs.anaconda.com/anaconda/install/linux/
# Instaluj w trybie użytkownika, nie super usera (sudo).
Ostatnio edytowany przez samu (2021-11-21 13:19:40)
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zadziałąło, problem polegał na tym że instalowałem go z # wiec wybierał /root/anaconda3 i to był problem.
dalej jednak mam problem z sudo - umieszcze ten temat oddzielnie
Dziękuje za pomoc
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@dugy
In general, it's not advisable to use 'sudo conda'.
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dugy napisał(-a):
zadziałąło, problem polegał na tym że instalowałem go z # wiec wybierał /root/anaconda3 i to był problem.
Zajrzyj do:
man su
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