'FoundConflicts!' error when installing qiime2 on Mac

I've been having exactly the same issue. Even deleted R and R studio because it seemed that many of the conflicts were from R packages, but still doesn't work.

Last login: Tue Apr 5 23:16:53 on ttys000
(base) [email protected] ~ % conda info

 active environment : base
active env location : /Users/charlene/miniconda3
        shell level : 1
   user config file : /Users/charlene/.condarc

populated config files :
conda version : 4.12.0
conda-build version : not installed
python version : 3.9.7.final.0
virtual packages : __osx=10.15.7=0
__unix=0=0
__archspec=1=x86_64
base environment : /Users/charlene/miniconda3 (writable)
conda av data dir : /Users/charlene/miniconda3/etc/conda
conda av metadata url : None
channel URLs : main/osx-64
main/noarch
r/osx-64
r/noarch
package cache : /Users/charlene/miniconda3/pkgs
/Users/charlene/.conda/pkgs
envs directories : /Users/charlene/miniconda3/envs
/Users/charlene/.conda/envs
platform : osx-64
user-agent : conda/4.12.0 requests/2.27.1 CPython/3.9.7 Darwin/19.6.0 OSX/10.15.7
UID:GID : 501:20
netrc file : None
offline mode : False

(base) [email protected] ~ % conda env list

conda environments:

base * /Users/charlene/miniconda3

(base) [email protected] ~ % env

echo $0
TMPDIR=/var/folders/rk/ykyjzcc57kggh9ld94wrkwr40000gn/T/
XPC_FLAGS=0x0
TERM_PROGRAM_VERSION=433
TERM_PROGRAM=Apple_Terminal
XPC_SERVICE_NAME=0
TERM_SESSION_ID=7E1DAC98-096C-4B85-A811-5978B0D2DC5F
TERM=xterm-256color
SSH_AUTH_SOCK=/private/tmp/com.apple.launchd.n86blt84Dx/Listeners
SHELL=/bin/zsh
HOME=/Users/charlene
LOGNAME=charlene
USER=charlene
PATH=/Users/charlene/miniconda3/bin:/Users/charlene/miniconda3/condabin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
SHLVL=1
PWD=/Users/charlene
OLDPWD=/Users/charlene
CONDA_EXE=/Users/charlene/miniconda3/bin/conda
_CE_M=
_CE_CONDA=
CONDA_PYTHON_EXE=/Users/charlene/miniconda3/bin/python
CONDA_SHLVL=1
CONDA_PREFIX=/Users/charlene/miniconda3
CONDA_DEFAULT_ENV=base
CONDA_PROMPT_MODIFIER=(base)
LC_CTYPE=UTF-8
_=/usr/bin/env
-zsh
(base) [email protected] ~ % wget https://data.qiime2.org/distro/core/qiime2-2022.2-py38-osx-conda.yml
--2022-04-05 23:24:30-- https://data.qiime2.org/distro/core/qiime2-2022.2-py38-osx-conda.yml
Resolving data.qiime2.org... 54.200.1.12
Connecting to data.qiime2.org|54.200.1.12|:443... connected.
HTTP request sent, awaiting response... 302 FOUND
Location: https://raw.githubusercontent.com/qiime2/environment-files/master/2022.2/release/qiime2-2022.2-py38-osx-conda.yml [following]
--2022-04-05 23:24:31-- https://raw.githubusercontent.com/qiime2/environment-files/master/2022.2/release/qiime2-2022.2-py38-osx-conda.yml
Resolving raw.githubusercontent.com... 185.199.110.133, 185.199.109.133, 185.199.111.133, ...
Connecting to raw.githubusercontent.com|185.199.110.133|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 8853 (8.6K) [text/plain]
Saving to: 'qiime2-2022.2-py38-osx-conda.yml'

qiime2-2022.2-py38- 100%[===================>] 8.65K --.-KB/s in 0s

2022-04-05 23:24:32 (24.9 MB/s) - 'qiime2-2022.2-py38-osx-conda.yml' saved [8853/8853]

(base) [email protected] ~ % conda env create -n qiime2-2022.2 --file qiime2-2022.2-py38-osx-conda.yml
Collecting package metadata (repodata.json): done
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining conflict for numba argcomplete debugpy bioconductor-xvector r-vegan| ........ goes on..
I am using OS Catalina 10.15.7, Intel i7. Thanks much for your help!

Hi @charlene,

Thanks for reaching out! This is an issue we are working to resolve today - I'll follow up with you once that's taken care of, and have you try doing a fresh install to confirm things are working on your end. Thanks for your patience!

Hey @charlene,

Sorry for the frustration, we've fixed the issue we believe, so you should be able to delete the old qiime2-2022.2-py38-osx-conda.yml file and follow the usual instructions to download it again.

Hi @ebolyen,
Tried it and works now :slight_smile: Thanks to the team for fixing it so quickly!

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