Issue:
It looks like this recipe only builds the pure python version of pendulum, so the parsing is significantly slower than the version you get from pip which includes the compiled extensions.
String parsing using pendulum installed with conda:
In [1]: from pendulum.parsing import parse_iso8601
In [2]: %timeit parse_iso8601('2021-12-31 12:15:33+00:00')
24.5 µs ± 2.06 µs per loop (mean ± std. dev. of 7 runs, 10,000 loops each)String parsing using pendulum installed with pip
In [1]: from pendulum.parsing import parse_iso8601
In [2]: %timeit parse_iso8601('2021-12-31 12:15:33+00:00')
292 ns ± 14.9 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)Here's the difference in the site-packages directory:
(pip_pendulum) jovyan@jupyter-jupyterlab-2djupyterlab-2ddemo-2dvf19hhtr:~$ ls /srv/conda/envs/pip_pendulum/lib/python3.10/site-packages/pendulum/parsing
exceptions __init__.py _iso8601.c _iso8601.cpython-310-x86_64-linux-gnu.so iso8601.py __pycache__
(pip_pendulum) jovyan@jupyter-jupyterlab-2djupyterlab-2ddemo-2dvf19hhtr:~$ ls /srv/conda/envs/conda_pendulum/lib/python3.10/site-packages/pendulum/parsing/
exceptions __init__.py _iso8601.c iso8601.py __pycache__
I haven't created a conda recipe before, but I'm happy to have a go at creating a pull request. The situation is pretty much the same on Windows.
conda_pendulum environment (
conda list):
Details
$ conda list
# packages in environment at /srv/conda/envs/conda_pendulum:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
asttokens 2.0.5 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
black 22.1.0 pyhd8ed1ab_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
ca-certificates 2021.10.8 ha878542_0 conda-forge
click 8.0.3 pypi_0 pypi
dataclasses 0.8 pyhc8e2a94_3 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
executing 0.8.2 pyhd8ed1ab_0 conda-forge
ipython 8.0.1 pypi_0 pypi
jedi 0.18.1 pypi_0 pypi
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 11.2.0 h1d223b6_12 conda-forge
libgomp 11.2.0 h1d223b6_12 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mypy-extensions 0.4.3 pypi_0 pypi
mypy_extensions 0.4.3 py310hff52083_4 conda-forge
ncurses 6.3 h9c3ff4c_0 conda-forge
openssl 3.0.0 h7f98852_2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pathspec 0.9.0 pyhd8ed1ab_0 conda-forge
pendulum 2.1.2 pyhd8ed1ab_1 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pip 22.0.3 pyhd8ed1ab_0 conda-forge
platformdirs 2.5.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.27 pyha770c72_0 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pygments 2.11.2 pyhd8ed1ab_0 conda-forge
python 3.10.2 hc74c709_3_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.10 2_cp310 conda-forge
pytzdata 2020.1 pyh9f0ad1d_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
setuptools 60.9.2 pypi_0 pypi
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.37.0 h9cd32fc_0 conda-forge
stack_data 0.2.0 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd8ed1ab_0 conda-forge
typed-ast 1.5.2 pypi_0 pypi
typing_extensions 4.1.1 pyha770c72_0 conda-forge
tzdata 2021e he74cb21_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
pip_pendulum environment (
conda list):
Details
$ conda list
# packages in environment at /srv/conda/envs/pip_pendulum:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
asttokens 2.0.5 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
black 22.1.0 pyhd8ed1ab_0 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
ca-certificates 2021.10.8 ha878542_0 conda-forge
click 8.0.3 pypi_0 pypi
dataclasses 0.8 pyhc8e2a94_3 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
executing 0.8.2 pyhd8ed1ab_0 conda-forge
ipython 8.0.1 pypi_0 pypi
jedi 0.18.1 pypi_0 pypi
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 11.2.0 h1d223b6_12 conda-forge
libgomp 11.2.0 h1d223b6_12 conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
mypy-extensions 0.4.3 pypi_0 pypi
mypy_extensions 0.4.3 py310hff52083_4 conda-forge
ncurses 6.3 h9c3ff4c_0 conda-forge
openssl 3.0.0 h7f98852_2 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pathspec 0.9.0 pyhd8ed1ab_0 conda-forge
pendulum 2.1.2 pypi_0 pypi
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pip 22.0.3 pyhd8ed1ab_0 conda-forge
platformdirs 2.5.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.27 pyha770c72_0 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pygments 2.11.2 pyhd8ed1ab_0 conda-forge
python 3.10.2 hc74c709_3_cpython conda-forge
python-dateutil 2.8.2 pypi_0 pypi
python_abi 3.10 2_cp310 conda-forge
pytzdata 2020.1 pypi_0 pypi
readline 8.1 h46c0cb4_0 conda-forge
setuptools 60.9.2 pypi_0 pypi
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.37.0 h9cd32fc_0 conda-forge
stack_data 0.2.0 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd8ed1ab_0 conda-forge
typed-ast 1.5.2 pypi_0 pypi
typing_extensions 4.1.1 pyha770c72_0 conda-forge
tzdata 2021e he74cb21_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
Details about conda and system ( conda info ):
Details
$ conda info
active environment : pip_pendulum
active env location : /srv/conda/envs/pip_pendulum
shell level : 3
user config file : /home/jovyan/.condarc
populated config files : /srv/conda/.condarc
conda version : 4.9.2
conda-build version : not installed
python version : 3.8.6.final.0
virtual packages : __glibc=2.27=0
__unix=0=0
__archspec=1=x86_64
base environment : /srv/conda (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
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 : /srv/conda/pkgs
/home/jovyan/.conda/pkgs
envs directories : /srv/conda/envs
/home/jovyan/.conda/envs
platform : linux-64
user-agent : conda/4.9.2 requests/2.25.0 CPython/3.8.6 Linux/5.4.0-1035-azure ubuntu/18.04.6 glibc/2.27
UID:GID : 1000:1000
netrc file : None
offline mode : False
Issue:
It looks like this recipe only builds the pure python version of pendulum, so the parsing is significantly slower than the version you get from pip which includes the compiled extensions.
String parsing using pendulum installed with conda:
String parsing using pendulum installed with pip
Here's the difference in the site-packages directory:
I haven't created a conda recipe before, but I'm happy to have a go at creating a pull request. The situation is pretty much the same on Windows.
conda_pendulum environment (
conda list):Details
pip_pendulum environment (
conda list):Details
Details about
condaand system (conda info):Details