| Back to Multiple platform build/check report for BioC 3.20: simplified long |
|
This page was generated on 2025-04-02 19:35 -0400 (Wed, 02 Apr 2025).
| Hostname | OS | Arch (*) | R version | Installed pkgs |
|---|---|---|---|---|
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) | x86_64 | 4.4.3 (2025-02-28) -- "Trophy Case" | 4764 |
| palomino8 | Windows Server 2022 Datacenter | x64 | 4.4.3 (2025-02-28 ucrt) -- "Trophy Case" | 4495 |
| merida1 | macOS 12.7.5 Monterey | x86_64 | 4.4.3 (2025-02-28) -- "Trophy Case" | 4522 |
| kjohnson1 | macOS 13.6.6 Ventura | arm64 | 4.4.3 (2025-02-28) -- "Trophy Case" | 4449 |
| taishan | Linux (openEuler 24.03 LTS) | aarch64 | 4.4.3 (2025-02-28) -- "Trophy Case" | 4426 |
| Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X | ||||
| Package 1020/2289 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
| immApex 1.0.5 (landing page) Nick Borcherding
| nebbiolo2 | Linux (Ubuntu 24.04.1 LTS) / x86_64 | OK | OK | ERROR | |||||||||
| palomino8 | Windows Server 2022 Datacenter / x64 | OK | OK | ERROR | OK | |||||||||
| merida1 | macOS 12.7.5 Monterey / x86_64 | OK | OK | ERROR | OK | |||||||||
| kjohnson1 | macOS 13.6.6 Ventura / arm64 | OK | OK | ERROR | OK | |||||||||
| taishan | Linux (openEuler 24.03 LTS) / aarch64 | OK | OK | ERROR | ||||||||||
|
To the developers/maintainers of the immApex package: - Allow up to 24 hours (and sometimes 48 hours) for your latest push to git@git.bioconductor.org:packages/immApex.git to reflect on this report. See Troubleshooting Build Report for more information. - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. - See Martin Grigorov's blog post for how to debug Linux ARM64 related issues on a x86_64 host. |
| Package: immApex |
| Version: 1.0.5 |
| Command: /home/biocbuild/R/R/bin/R CMD check --install=check:immApex.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings immApex_1.0.5.tar.gz |
| StartedAt: 2025-04-01 07:30:26 -0000 (Tue, 01 Apr 2025) |
| EndedAt: 2025-04-01 07:38:26 -0000 (Tue, 01 Apr 2025) |
| EllapsedTime: 479.4 seconds |
| RetCode: 1 |
| Status: ERROR |
| CheckDir: immApex.Rcheck |
| Warnings: NA |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/R/R/bin/R CMD check --install=check:immApex.install-out.txt --library=/home/biocbuild/R/R/site-library --no-vignettes --timings immApex_1.0.5.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.20-bioc/meat/immApex.Rcheck’
* using R version 4.4.3 (2025-02-28)
* using platform: aarch64-unknown-linux-gnu
* R was compiled by
aarch64-unknown-linux-gnu-gcc (GCC) 14.2.0
GNU Fortran (GCC) 14.2.0
* running under: openEuler 24.03 (LTS)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘immApex/DESCRIPTION’ ... OK
* this is package ‘immApex’ version ‘1.0.5’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘immApex’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking whether startup messages can be suppressed ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
variationalSequences 11.523 1.032 12.700
sequenceDecoder 10.694 0.997 11.804
propertyEncoder 9.547 0.878 10.529
onehotEncoder 8.325 0.849 9.362
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘spelling.R’
Running ‘testthat.R’
ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
`TRAJ_mouse_inframe_aa` not equal to getdata("getIMGT", "getIMGT_TRAJ_mouse_inframe_aa").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
── Failure ('test-getIMGT.R:48:3'): getIMGT works when IMGT website is available ──
`IGHV_rat_all_nt` not equal to getdata("getIMGT", "getIMGT_IGHV_rat_all_nt").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
── Failure ('test-getIMGT.R:59:3'): getIMGT works when IMGT website is available ──
`TRBV_rabbit_gap_aa` not equal to getdata("getIMGT", "getIMGT_TRBV_rabbit_gap_aa").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
[ FAIL 4 | WARN 0 | SKIP 7 | PASS 30 ]
Error: Test failures
Execution halted
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 1 ERROR
See
‘/home/biocbuild/bbs-3.20-bioc/meat/immApex.Rcheck/00check.log’
for details.
immApex.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/R/R/bin/R CMD INSTALL immApex ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/R/R-4.4.3/site-library’ * installing *source* package ‘immApex’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (immApex)
immApex.Rcheck/tests/spelling.Rout
R version 4.4.3 (2025-02-28) -- "Trophy Case"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> if(requireNamespace('spelling', quietly = TRUE))
+ spelling::spell_check_test(vignettes = TRUE, error = FALSE,
+ skip_on_cran = TRUE)
NULL
>
> proc.time()
user system elapsed
0.184 0.040 0.208
immApex.Rcheck/tests/testthat.Rout
R version 4.4.3 (2025-02-28) -- "Trophy Case"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(immApex)
>
> test_check("immApex")
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
[ FAIL 0 | WARN 0 | SKIP 7 | PASS 34 ]
══ Skipped tests (7) ═══════════════════════════════════════════════════════════
• Required Python modules (Keras, NumPy) are not available. (6):
'test-generateSequences.R:10:5', 'test-onehotEncoder.R:10:5',
'test-propertyEncoder.R:10:5', 'test-sequenceDecoder.R:10:5',
'test-tokenizeSequences.R:10:5', 'test-variationalSequences.R:10:5'
• empty test (1): 'test-getIR.R:3:1'
[ FAIL 0 | WARN 0 | SKIP 7 | PASS 34 ]
>
> proc.time()
user system elapsed
190.894 18.942 264.437
immApex.Rcheck/tests/testthat.Rout.fail
R version 4.4.3 (2025-02-28) -- "Trophy Case"
Copyright (C) 2025 The R Foundation for Statistical Computing
Platform: aarch64-unknown-linux-gnu
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
>
> library(testthat)
> library(immApex)
>
> test_check("immApex")
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
× No solution found when resolving `--with` dependencies:
╰─▶ Because only the following versions of tensorflow-cpu are available:
tensorflow-cpu==1.15.0
tensorflow-cpu==2.1.0
tensorflow-cpu==2.1.1
tensorflow-cpu==2.1.2
tensorflow-cpu==2.1.3
tensorflow-cpu==2.1.4
tensorflow-cpu==2.2.0
tensorflow-cpu==2.2.1
tensorflow-cpu==2.2.2
tensorflow-cpu==2.2.3
tensorflow-cpu==2.3.0
tensorflow-cpu==2.3.1
tensorflow-cpu==2.3.2
tensorflow-cpu==2.3.3
tensorflow-cpu==2.3.4
tensorflow-cpu==2.4.0
tensorflow-cpu==2.4.1
tensorflow-cpu==2.4.2
tensorflow-cpu==2.4.3
tensorflow-cpu==2.4.4
tensorflow-cpu==2.5.0
tensorflow-cpu==2.5.1
tensorflow-cpu==2.5.2
tensorflow-cpu==2.5.3
tensorflow-cpu==2.6.0
tensorflow-cpu==2.6.1
tensorflow-cpu==2.6.2
tensorflow-cpu==2.6.3
tensorflow-cpu==2.6.4
tensorflow-cpu==2.6.5
tensorflow-cpu==2.7.0
tensorflow-cpu==2.7.1
tensorflow-cpu==2.7.2
tensorflow-cpu==2.7.3
tensorflow-cpu==2.7.4
tensorflow-cpu==2.8.0
tensorflow-cpu==2.8.1
tensorflow-cpu==2.8.2
tensorflow-cpu==2.8.3
tensorflow-cpu==2.8.4
tensorflow-cpu==2.9.0
tensorflow-cpu==2.9.1
tensorflow-cpu==2.9.2
tensorflow-cpu==2.9.3
tensorflow-cpu==2.10.0
tensorflow-cpu==2.10.1
tensorflow-cpu==2.11.0
tensorflow-cpu==2.11.1
tensorflow-cpu==2.12.0
tensorflow-cpu==2.12.1
tensorflow-cpu==2.13.0
tensorflow-cpu==2.13.1
tensorflow-cpu==2.14.0
tensorflow-cpu==2.14.1
tensorflow-cpu==2.15.0
tensorflow-cpu==2.15.0.post1
tensorflow-cpu==2.15.1
tensorflow-cpu==2.16.1
tensorflow-cpu==2.16.2
tensorflow-cpu==2.17.0
tensorflow-cpu==2.17.1
tensorflow-cpu==2.18.0
tensorflow-cpu==2.18.1
tensorflow-cpu==2.19.0
and tensorflow-cpu<=2.11.1 has no wheels with a matching Python ABI
tag (e.g., `cp311`), we can conclude that tensorflow-cpu<=2.11.1 cannot
be used.
And because tensorflow-cpu>=2.12.0 has no wheels with a matching
platform tag (e.g., `manylinux_2_38_aarch64`) and you require
tensorflow-cpu, we can conclude that your requirements are
unsatisfiable.
hint: Pre-releases are available for `tensorflow-cpu` in the requested
range (e.g., 2.19.0rc0), but pre-releases weren't enabled (try:
`--prerelease=allow`)
hint: You require CPython 3.11 (`cp311`), but we only found wheels for
`tensorflow-cpu` (v2.11.1) with the following Python ABI tags: `cp38`,
`cp39`, `cp310`
hint: Wheels are available for `tensorflow-cpu` (v2.19.0) on the
following platforms: `manylinux_2_17_x86_64`, `manylinux2014_x86_64`,
`win_amd64`
uv error code: 1
-- Current requirements -------------------------------------------------
Python: 3.11.11 (reticulate default)
Packages: numpy, keras, pydot, scipy, pandas, Pillow, ipython,
tensorflow-cpu
-------------------------------------------------------------------------
Error in uv_get_or_create_env() :
Call `py_require()` to remove or replace conflicting requirements.
[ FAIL 4 | WARN 0 | SKIP 7 | PASS 30 ]
══ Skipped tests (7) ═══════════════════════════════════════════════════════════
• Required Python modules (Keras, NumPy) are not available. (6):
'test-generateSequences.R:10:5', 'test-onehotEncoder.R:10:5',
'test-propertyEncoder.R:10:5', 'test-sequenceDecoder.R:10:5',
'test-tokenizeSequences.R:10:5', 'test-variationalSequences.R:10:5'
• empty test (1): 'test-getIR.R:3:1'
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-getIMGT.R:26:3'): getIMGT works when IMGT website is available ──
`TRBV_human_inframe_aa` not equal to getdata("getIMGT", "getIMGT_TRBV_human_inframe_aa").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
── Failure ('test-getIMGT.R:37:3'): getIMGT works when IMGT website is available ──
`TRAJ_mouse_inframe_aa` not equal to getdata("getIMGT", "getIMGT_TRAJ_mouse_inframe_aa").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
── Failure ('test-getIMGT.R:48:3'): getIMGT works when IMGT website is available ──
`IGHV_rat_all_nt` not equal to getdata("getIMGT", "getIMGT_IGHV_rat_all_nt").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
── Failure ('test-getIMGT.R:59:3'): getIMGT works when IMGT website is available ──
`TRBV_rabbit_gap_aa` not equal to getdata("getIMGT", "getIMGT_TRBV_rabbit_gap_aa").
Component "sequences": names for current but not for target
Component "sequences": Length mismatch: comparison on first 0 components
[ FAIL 4 | WARN 0 | SKIP 7 | PASS 30 ]
Error: Test failures
Execution halted
immApex.Rcheck/immApex-Ex.timings
| name | user | system | elapsed | |
| adjacencyMatrix | 0.012 | 0.000 | 0.012 | |
| formatGenes | 0.853 | 0.163 | 1.018 | |
| generateSequences | 0.003 | 0.000 | 0.003 | |
| geometricEncoder | 0.211 | 0.036 | 0.247 | |
| getIMGT | 0.701 | 0.012 | 4.738 | |
| inferCDR | 0.541 | 0.004 | 3.863 | |
| mutateSequences | 0.011 | 0.000 | 0.012 | |
| onehotEncoder | 8.325 | 0.849 | 9.362 | |
| positionalEncoder | 0.014 | 0.000 | 0.015 | |
| probabilityMatrix | 0.006 | 0.000 | 0.006 | |
| propertyEncoder | 9.547 | 0.878 | 10.529 | |
| sequenceDecoder | 10.694 | 0.997 | 11.804 | |
| tokenizeSequences | 0.006 | 0.000 | 0.006 | |
| variationalSequences | 11.523 | 1.032 | 12.700 | |