mirror of
https://github.com/Findus23/halo_comparison.git
synced 2024-09-19 16:03:50 +02:00
strongly improve lookup performance
This commit is contained in:
parent
cb8ed5f349
commit
312c568d1f
10 changed files with 772 additions and 36 deletions
1
.gitignore
vendored
1
.gitignore
vendored
|
|
@ -1,3 +1,4 @@
|
|||
.idea/
|
||||
*.png
|
||||
*.csv
|
||||
*.zip
|
||||
|
|
|
|||
31
2d.py
Normal file
31
2d.py
Normal file
|
|
@ -0,0 +1,31 @@
|
|||
from pathlib import Path
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
from matplotlib.axes import Axes
|
||||
from matplotlib.colors import LogNorm
|
||||
from matplotlib.figure import Figure
|
||||
|
||||
from readfiles import read_file
|
||||
|
||||
|
||||
def filter_for_2d(df: pd.DataFrame, group: int):
|
||||
xs = df_ref.X
|
||||
ys = df_ref.Y
|
||||
return np.array([xs, ys]).T
|
||||
|
||||
|
||||
reference_dir = Path(f"/home/lukas/monofonic_tests/shannon_512_100")
|
||||
df_ref, _ = read_file(reference_dir)
|
||||
|
||||
df = df_ref.loc[df_ref["FOFGroupIDs"] == 1]
|
||||
df2 = df_ref.loc[df_ref["FOFGroupIDs"] == 4]
|
||||
|
||||
fig: Figure = plt.figure()
|
||||
ax: Axes = fig.gca()
|
||||
|
||||
# ax.hist2d(df.X, df.Y, bins=500, norm=LogNorm())
|
||||
ax.hist2d(df2.X, df2.Y, bins=1000, norm=LogNorm())
|
||||
|
||||
plt.show()
|
||||
2
3d.py
2
3d.py
|
|
@ -8,7 +8,7 @@ from readfiles import read_file
|
|||
|
||||
|
||||
def file_to_arry(file: Path):
|
||||
df_ref = read_file(file)
|
||||
df_ref,_ = read_file(file)
|
||||
df_ref = df_ref.loc[df_ref["FOFGroupIDs"] == 34]
|
||||
|
||||
xs = df_ref.X
|
||||
|
|
|
|||
24
3d2.py
24
3d2.py
|
|
@ -1,29 +1,31 @@
|
|||
from pathlib import Path
|
||||
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
import pyvista
|
||||
|
||||
from readfiles import read_file
|
||||
|
||||
|
||||
def file_to_arry(file: Path):
|
||||
df_ref = read_file(file)
|
||||
df_ref = df_ref.loc[df_ref["FOFGroupIDs"] == 1]
|
||||
def filter_for_3d(df: pd.DataFrame, group: int):
|
||||
df_ref = df.loc[df["FOFGroupIDs"] == group]
|
||||
|
||||
xs = df_ref.X
|
||||
ys = df_ref.Y
|
||||
zs = df_ref.Z
|
||||
print()
|
||||
return np.array([xs, ys, zs]).T
|
||||
|
||||
|
||||
reference_dir = Path(f"/home/lukas/monofonic_tests/shannon_512_100")
|
||||
df_ref, _ = read_file(reference_dir)
|
||||
|
||||
data = file_to_arry(reference_dir)
|
||||
data = filter_for_3d(df_ref, group=1)
|
||||
data2 = filter_for_3d(df_ref, group=2)
|
||||
data3 = filter_for_3d(df_ref, group=3)
|
||||
print(len(data))
|
||||
# point_cloud = np.random.random((100, 3))
|
||||
pdata = pyvista.PointSet(data)
|
||||
pdata.plot(point_size=3, render_points_as_spheres=True, eye_dome_lighting=True, parallel_projection=True,
|
||||
anti_aliasing=True)
|
||||
# # create many spheres from the point cloud
|
||||
# pc.plot(cmap='Reds')
|
||||
|
||||
for data in [filter_for_3d(df_ref, group=1),filter_for_3d(df_ref, group=2),filter_for_3d(df_ref, group=3)]:
|
||||
|
||||
pdata = pyvista.PointSet(data)
|
||||
pdata.plot(point_size=3, render_points_as_spheres=True, eye_dome_lighting=True, parallel_projection=True,
|
||||
anti_aliasing=True)
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
from pathlib import Path
|
||||
from typing import Dict
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
|
|
@ -6,7 +7,6 @@ from matplotlib.axes import Axes
|
|||
from matplotlib.figure import Figure
|
||||
from pandas import DataFrame
|
||||
|
||||
from cumulative_mass_profiles import cumulative_mass_profile
|
||||
from readfiles import read_file, read_halo_file
|
||||
from remap_particle_IDs import IDScaler
|
||||
from utils import print_progress, memory_usage
|
||||
|
|
@ -30,26 +30,25 @@ def compare_halo_resolutions(reference_resolution: int, comparison_resolution: i
|
|||
df_comp, comp_meta = read_file(comparison_dir)
|
||||
df_comp_halo = read_halo_file(comparison_dir)
|
||||
|
||||
print("precalculating halo memberships")
|
||||
ref_halo_lookup = precalculate_halo_membership(df_ref, df_ref_halo)
|
||||
comp_halo_lookup = precalculate_halo_membership(df_comp, df_comp_halo)
|
||||
|
||||
print(f"Memory ref: {memory_usage(df_ref):.2f} MB")
|
||||
print(f"Memory comp: {memory_usage(df_comp):.2f} MB")
|
||||
|
||||
for index, original_halo in df_ref_halo.iterrows():
|
||||
print(f"{index} of {len(df_ref_halo)} original halos")
|
||||
particles_in_ref_halo = df_ref.loc[df_ref["FOFGroupIDs"] == index]
|
||||
halo_particle_ids = ref_halo_lookup[int(index)]
|
||||
ref_halo = df_ref_halo.loc[index]
|
||||
# cumulative_mass_profile(particles_in_ref_halo, ref_halo, ref_meta, plot=plot)
|
||||
halo_particle_ids = set(particles_in_ref_halo.index.to_list())
|
||||
|
||||
prev_len = len(halo_particle_ids)
|
||||
if reference_resolution < comparison_resolution:
|
||||
print("upscaling IDs")
|
||||
upscaled_ids = set()
|
||||
scaler = IDScaler(reference_resolution, comparison_resolution)
|
||||
# i = 0
|
||||
for id in halo_particle_ids:
|
||||
# i += 1
|
||||
# if i % 1000 == 0:
|
||||
# print(i)
|
||||
upscaled_ids.update(set(scaler.upscale(id)))
|
||||
halo_particle_ids = upscaled_ids
|
||||
after_len = len(upscaled_ids)
|
||||
|
|
@ -61,20 +60,19 @@ def compare_halo_resolutions(reference_resolution: int, comparison_resolution: i
|
|||
for id in halo_particle_ids:
|
||||
downscaled_ids.add(scaler.downscale(id))
|
||||
halo_particle_ids = downscaled_ids
|
||||
print("done")
|
||||
after_len = len(halo_particle_ids)
|
||||
print(f"{prev_len} => {after_len} (factor {prev_len / after_len})")
|
||||
|
||||
print("look up halo particles in comparison dataset")
|
||||
particles = df_comp.loc[list(halo_particle_ids)]
|
||||
halo_particles = df_comp.loc[list(halo_particle_ids)]
|
||||
|
||||
halos_in_particles = set(particles["FOFGroupIDs"])
|
||||
halos_in_particles = set(halo_particles["FOFGroupIDs"])
|
||||
halos_in_particles.discard(2147483647)
|
||||
print(f"{len(halos_in_particles)} halos found in new particles")
|
||||
if plot:
|
||||
fig: Figure = plt.figure()
|
||||
ax: Axes = fig.gca()
|
||||
ax.scatter(particles["X"], particles["Y"], s=1, alpha=.3, label="Halo")
|
||||
ax.scatter(halo_particles["X"], halo_particles["Y"], s=1, alpha=.3, label="Halo")
|
||||
# ax.scatter(particles_in_ref_halo["X"], particles_in_ref_halo["Y"], s=1, alpha=.3, label="RefHalo")
|
||||
# plt.legend()
|
||||
# plt.show()
|
||||
|
|
@ -83,18 +81,18 @@ def compare_halo_resolutions(reference_resolution: int, comparison_resolution: i
|
|||
|
||||
for i, halo in enumerate(halos_in_particles):
|
||||
# print("----------", halo, "----------")
|
||||
print_progress(i, len(halos_in_particles), halo)
|
||||
# halo_data = df_comp_halo.loc[halo]
|
||||
particles_in_comp_halo: DataFrame = df_comp.loc[df_comp["FOFGroupIDs"] == halo]
|
||||
halo_size = len(particles_in_comp_halo)
|
||||
|
||||
df = particles_in_comp_halo.join(particles, how="inner", rsuffix="ref")
|
||||
shared_size = len(df)
|
||||
# particles_in_comp_halo: DataFrame = df_comp.loc[df_comp["FOFGroupIDs"] == halo]
|
||||
particle_ids_in_comp_halo = comp_halo_lookup[halo]
|
||||
halo_size = len(particle_ids_in_comp_halo)
|
||||
# df = particles_in_comp_halo.join(halo_particles, how="inner", rsuffix="ref")
|
||||
shared_particles = particle_ids_in_comp_halo.intersection(halo_particle_ids)
|
||||
shared_size = len(shared_particles)
|
||||
match = shared_size / halo_size
|
||||
# print(match, halo_size, shared_size)
|
||||
# print(df)
|
||||
if plot:
|
||||
df = df_comp.loc[list(shared_particles)]
|
||||
ax.scatter(df["X"], df["Y"], s=1, alpha=.3, label=f"shared {halo}")
|
||||
# print_progress(i, len(halos_in_particles), halo)
|
||||
# ax.scatter(particles_in_comp_halo["X"], particles_in_comp_halo["Y"], s=2, alpha=.3, label=f"shared {halo}")
|
||||
if shared_size > best_halo_match:
|
||||
best_halo_match = shared_size
|
||||
|
|
@ -110,9 +108,10 @@ def compare_halo_resolutions(reference_resolution: int, comparison_resolution: i
|
|||
ref_masses.append(ref_halo["Masses"])
|
||||
comp_sizes.append(comp_halo["Sizes"])
|
||||
comp_masses.append(comp_halo["Masses"])
|
||||
matches.append(best_halo_match / len(particles))
|
||||
matches.append(best_halo_match / len(halo_particles))
|
||||
# exit()
|
||||
if plot:
|
||||
print("plotting")
|
||||
ax.legend()
|
||||
ax.set_title(f"{reference_dir.name} vs. {comparison_dir.name} (Halo {index})")
|
||||
fig.savefig("out.png", dpi=300)
|
||||
|
|
@ -127,10 +126,28 @@ def compare_halo_resolutions(reference_resolution: int, comparison_resolution: i
|
|||
return df, reference_dir.name + "_" + comparison_dir.name
|
||||
|
||||
|
||||
def precalculate_halo_membership(df_comp, df_comp_halo):
|
||||
pointer = 0
|
||||
comp_halo_lookup: Dict[int, set[int]] = {}
|
||||
for i, halo in df_comp_halo.iterrows():
|
||||
print_progress(i, len(df_comp_halo), halo["Sizes"])
|
||||
size = int(halo["Sizes"])
|
||||
halo_id = int(i)
|
||||
halo_particles = df_comp.iloc[pointer:pointer + size]
|
||||
|
||||
# check_id = halo_particles["FOFGroupIDs"].to_numpy()
|
||||
# assert (check_id == i).all()
|
||||
# assert (check_id==check_id[0]
|
||||
pointer += size
|
||||
ids = set(halo_particles.index.to_list())
|
||||
comp_halo_lookup[halo_id] = ids
|
||||
return comp_halo_lookup
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
compare_halo_resolutions(
|
||||
reference_resolution=128,
|
||||
comparison_resolution=512,
|
||||
plot=False,
|
||||
plot=True,
|
||||
single=False
|
||||
)
|
||||
|
|
|
|||
650
poetry.lock
generated
Normal file
650
poetry.lock
generated
Normal file
|
|
@ -0,0 +1,650 @@
|
|||
[[package]]
|
||||
name = "appdirs"
|
||||
version = "1.4.4"
|
||||
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "cycler"
|
||||
version = "0.11.0"
|
||||
description = "Composable style cycles"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[[package]]
|
||||
name = "cython"
|
||||
version = "0.29.28"
|
||||
description = "The Cython compiler for writing C extensions for the Python language."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
|
||||
[[package]]
|
||||
name = "fonttools"
|
||||
version = "4.33.3"
|
||||
description = "Tools to manipulate font files"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[package.extras]
|
||||
all = ["fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "zopfli (>=0.1.4)", "lz4 (>=1.7.4.2)", "matplotlib", "sympy", "skia-pathops (>=0.5.0)", "uharfbuzz (>=0.23.0)", "brotlicffi (>=0.8.0)", "scipy", "brotli (>=1.0.1)", "munkres", "unicodedata2 (>=14.0.0)", "xattr"]
|
||||
graphite = ["lz4 (>=1.7.4.2)"]
|
||||
interpolatable = ["scipy", "munkres"]
|
||||
lxml = ["lxml (>=4.0,<5)"]
|
||||
pathops = ["skia-pathops (>=0.5.0)"]
|
||||
plot = ["matplotlib"]
|
||||
repacker = ["uharfbuzz (>=0.23.0)"]
|
||||
symfont = ["sympy"]
|
||||
type1 = ["xattr"]
|
||||
ufo = ["fs (>=2.2.0,<3)"]
|
||||
unicode = ["unicodedata2 (>=14.0.0)"]
|
||||
woff = ["zopfli (>=0.1.4)", "brotlicffi (>=0.8.0)", "brotli (>=1.0.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "h5py"
|
||||
version = "3.6.0"
|
||||
description = "Read and write HDF5 files from Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.14.5"
|
||||
|
||||
[[package]]
|
||||
name = "imageio"
|
||||
version = "2.19.0"
|
||||
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=8.3.2"
|
||||
|
||||
[package.extras]
|
||||
all-plugins = ["astropy", "av", "imageio-ffmpeg", "opencv-python", "psutil", "tifffile"]
|
||||
all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
|
||||
build = ["wheel"]
|
||||
dev = ["invoke", "pytest", "pytest-cov", "fsspec", "black", "flake8"]
|
||||
docs = ["sphinx", "numpydoc", "pydata-sphinx-theme"]
|
||||
ffmpeg = ["imageio-ffmpeg", "psutil"]
|
||||
fits = ["astropy"]
|
||||
full = ["astropy", "av", "black", "flake8", "fsspec", "gdal", "imageio-ffmpeg", "invoke", "itk", "numpydoc", "opencv-python", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx", "tifffile", "wheel"]
|
||||
gdal = ["gdal"]
|
||||
itk = ["itk"]
|
||||
linting = ["black", "flake8"]
|
||||
opencv = ["opencv-python"]
|
||||
pyav = ["av"]
|
||||
test = ["invoke", "pytest", "pytest-cov", "fsspec"]
|
||||
tifffile = ["tifffile"]
|
||||
|
||||
[[package]]
|
||||
name = "kiwisolver"
|
||||
version = "1.4.2"
|
||||
description = "A fast implementation of the Cassowary constraint solver"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[[package]]
|
||||
name = "matplotlib"
|
||||
version = "3.5.2"
|
||||
description = "Python plotting package"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[package.dependencies]
|
||||
cycler = ">=0.10"
|
||||
fonttools = ">=4.22.0"
|
||||
kiwisolver = ">=1.0.1"
|
||||
numpy = ">=1.17"
|
||||
packaging = ">=20.0"
|
||||
pillow = ">=6.2.0"
|
||||
pyparsing = ">=2.2.1"
|
||||
python-dateutil = ">=2.7"
|
||||
setuptools_scm = ">=4"
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "1.22.3"
|
||||
description = "NumPy is the fundamental package for array computing with Python."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
|
||||
[[package]]
|
||||
name = "packaging"
|
||||
version = "21.3"
|
||||
description = "Core utilities for Python packages"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.dependencies]
|
||||
pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
|
||||
|
||||
[[package]]
|
||||
name = "pandas"
|
||||
version = "1.4.2"
|
||||
description = "Powerful data structures for data analysis, time series, and statistics"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
|
||||
[package.dependencies]
|
||||
numpy = [
|
||||
{version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
|
||||
{version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""},
|
||||
{version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""},
|
||||
{version = ">=1.21.0", markers = "python_version >= \"3.10\""},
|
||||
]
|
||||
python-dateutil = ">=2.8.1"
|
||||
pytz = ">=2020.1"
|
||||
|
||||
[package.extras]
|
||||
test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "9.1.0"
|
||||
description = "Python Imaging Library (Fork)"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[package.extras]
|
||||
docs = ["olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinx-rtd-theme (>=1.0)", "sphinxext-opengraph"]
|
||||
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
|
||||
|
||||
[[package]]
|
||||
name = "posix-ipc"
|
||||
version = "1.0.5"
|
||||
description = "POSIX IPC primitives (semaphores, shared memory and message queues) for Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "pynbody"
|
||||
version = "1.1.0"
|
||||
description = "Light-weight astronomical N-body/SPH analysis for python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
|
||||
[package.dependencies]
|
||||
cython = ">=0.20"
|
||||
h5py = ">=2.10.0"
|
||||
matplotlib = ">=3.0.0"
|
||||
numpy = ">=1.14.0"
|
||||
posix-ipc = ">=0.8"
|
||||
scipy = ">=1.0.0"
|
||||
|
||||
[package.extras]
|
||||
all = ["pytest", "pandas", "ipython (>=3)", "Sphinx (>=1.6.0,<1.7.0)", "sphinx-bootstrap-theme"]
|
||||
docs = ["ipython (>=3)", "Sphinx (>=1.6.0,<1.7.0)", "sphinx-bootstrap-theme"]
|
||||
tests = ["pytest", "pandas"]
|
||||
|
||||
[[package]]
|
||||
name = "pyparsing"
|
||||
version = "3.0.8"
|
||||
description = "pyparsing module - Classes and methods to define and execute parsing grammars"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6.8"
|
||||
|
||||
[package.extras]
|
||||
diagrams = ["railroad-diagrams", "jinja2"]
|
||||
|
||||
[[package]]
|
||||
name = "python-dateutil"
|
||||
version = "2.8.2"
|
||||
description = "Extensions to the standard Python datetime module"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
||||
|
||||
[package.dependencies]
|
||||
six = ">=1.5"
|
||||
|
||||
[[package]]
|
||||
name = "pytz"
|
||||
version = "2022.1"
|
||||
description = "World timezone definitions, modern and historical"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "pyvista"
|
||||
version = "0.34.1"
|
||||
description = "Easier Pythonic interface to VTK"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.*"
|
||||
|
||||
[package.dependencies]
|
||||
appdirs = "*"
|
||||
imageio = "*"
|
||||
numpy = "*"
|
||||
pillow = "*"
|
||||
scooby = ">=0.5.1"
|
||||
vtk = "*"
|
||||
|
||||
[package.extras]
|
||||
all = ["matplotlib", "colorcet", "cmocean", "meshio"]
|
||||
colormaps = ["matplotlib", "colorcet", "cmocean"]
|
||||
io = ["meshio (>=5.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "scipy"
|
||||
version = "1.8.0"
|
||||
description = "SciPy: Scientific Library for Python"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.8,<3.11"
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.17.3,<1.25.0"
|
||||
|
||||
[[package]]
|
||||
name = "scooby"
|
||||
version = "0.5.12"
|
||||
description = "A Great Dane turned Python environment detective"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7.*"
|
||||
|
||||
[package.extras]
|
||||
cpu = ["psutil", "mkl"]
|
||||
|
||||
[[package]]
|
||||
name = "setuptools-scm"
|
||||
version = "6.4.2"
|
||||
description = "the blessed package to manage your versions by scm tags"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.dependencies]
|
||||
packaging = ">=20.0"
|
||||
tomli = ">=1.0.0"
|
||||
|
||||
[package.extras]
|
||||
test = ["pytest (>=6.2)", "virtualenv (>20)"]
|
||||
toml = ["setuptools (>=42)"]
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.16.0"
|
||||
description = "Python 2 and 3 compatibility utilities"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
|
||||
[[package]]
|
||||
name = "tomli"
|
||||
version = "2.0.1"
|
||||
description = "A lil' TOML parser"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
|
||||
[[package]]
|
||||
name = "vtk"
|
||||
version = "9.1.0.dev0"
|
||||
description = "VTK is an open-source toolkit for 3D computer graphics, image processing, and visualization"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.extras]
|
||||
numpy = ["numpy (>=1.9)"]
|
||||
|
||||
[package.source]
|
||||
type = "url"
|
||||
url = "https://github.com/pyvista/pyvista-wheels/raw/main/vtk-9.1.0.dev0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
|
||||
|
||||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = "^3.9,<3.11"
|
||||
content-hash = "aca73667c9ceccef3b904efe262ca9384f59f3505e204f748dc8ad0eb4930764"
|
||||
|
||||
[metadata.files]
|
||||
appdirs = [
|
||||
{file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
|
||||
{file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
|
||||
]
|
||||
cycler = [
|
||||
{file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
|
||||
{file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
|
||||
]
|
||||
cython = [
|
||||
{file = "Cython-0.29.28-cp27-cp27m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:75686c586e37b1fed0fe4a2c053474f96fc07da0063bbfc98023454540515d31"},
|
||||
{file = "Cython-0.29.28-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:16f2e74fcac223c53e298ecead62c353d3cffa107bea5d8232e4b2ba40781634"},
|
||||
{file = "Cython-0.29.28-cp27-cp27mu-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b6c77cc24861a33714e74212abfab4e54bf42e1ad602623f193b8e369389af2f"},
|
||||
{file = "Cython-0.29.28-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:59f4e86b415620a097cf0ec602adf5a7ee3cc33e8220567ded96566f753483f8"},
|
||||
{file = "Cython-0.29.28-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:31465dce7fd3f058d02afb98b13af962848cc607052388814428dc801cc26f57"},
|
||||
{file = "Cython-0.29.28-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:5658fa477e80d96c49d5ff011938dd4b62da9aa428f771b91f1a7c49af45aad8"},
|
||||
{file = "Cython-0.29.28-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:33b69ac9bbf2b93d8cae336cfe48889397a857e6ceeb5cef0b2f0b31b6c54f2b"},
|
||||
{file = "Cython-0.29.28-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:9d39ee7ddef6856413f950b8959e852d83376d9db1c509505e3f4873df32aa70"},
|
||||
{file = "Cython-0.29.28-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:c9848a423a14e8f51bd4bbf8e2ff37031764ce66bdc7c6bc06c70d4084eb23c7"},
|
||||
{file = "Cython-0.29.28-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:09448aadb818387160ca4d1e1b82dbb7001526b6d0bed7529c4e8ac12e3b6f4c"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:341917bdb2c95bcf8322aacfe50bbe6b4794880b16fa8b2300330520e123a5e5"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:fdcef7abb09fd827691e3abe6fd42c6c34beaccfa0bc2df6074f0a49949df6a8"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:43eca77169f855dd04be11921a585c8854a174f30bc925257e92bc7b9197fbd2"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7962a78ceb80cdec21345fb5088e675060fa65982030d446069f2d675d30e3cd"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:ed32c206e1d68056a34b21d2ec0cf0f23d338d6531476a68c73e21e20bd7bb63"},
|
||||
{file = "Cython-0.29.28-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:a0ed39c63ba52edd03a39ea9d6da6f5326aaee5d333c317feba543270a1b3af5"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:ded4fd3da4dee2f4414c35214244e29befa7f6fede3e9be317e765169df2cbc7"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:e24bd94946ffa37f30fcb865f2340fb6d429a3c7bf87b47b22f7d22e0e68a15c"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:076aa8da83383e2bed0ca5f92c13a7e76e684bc41fe8e438bbed735f5b1c2731"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:004387d8b94c64681ee05660d6a234e125396097726cf2f419c0fa2ac38034d6"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d6036f6a5a0c7fb1af88889872268b15bf20dd9cefe33a6602d79ba18b8db20f"},
|
||||
{file = "Cython-0.29.28-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:1612d7439590ba3b8de5f907bf0e54bd8e024eafb8c59261531a7988030c182d"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:d7d7beb600d5dd551e9322e1393b74286f4a3d4aa387f7bfbaccc1495a98603b"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:5e82f6b3dc2133b2e0e2c5c63d352d40a695e40cc7ed99f4cbe83334bcf9ab39"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:49076747b731ed78acf203666c3b3c5d664754ea01ca4527f62f6d8675703688"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9f2b7c86a73db0d8dbbd885fe67f04c7b787df37a3848b9867270d3484101fbd"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a3b27812ac9e9737026bfbb1dd47434f3e84013f430bafe1c6cbaf1cd51b5518"},
|
||||
{file = "Cython-0.29.28-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0378a14d2580dcea234d7a2dc8d75f60c091105885096e6dd5b032be97542c16"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_24_aarch64.whl", hash = "sha256:d7c98727397c2547a56aa0c3c98140f1873c69a0642edc9446c6c870d0d8a5b5"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:6626f9691ce2093ccbcc9932f449efe3b6e1c893b556910881d177c61612e8ff"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_24_i686.whl", hash = "sha256:e9cc6af0c9c477c5e175e807dce439509934efefc24ea2da9fced7fbc8170591"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:05edfa51c0ff31a8df3cb291b90ca93ab499686d023b9b81c216cd3509f73def"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4b3089255b6b1cc69e4b854626a41193e6acae5332263d24707976b3cb8ca644"},
|
||||
{file = "Cython-0.29.28-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:03b749e4f0bbf631cee472add2806d338a7d496f8383f6fb28cc5fdc34b7fdb8"},
|
||||
{file = "Cython-0.29.28-py2.py3-none-any.whl", hash = "sha256:26d8d0ededca42be50e0ac377c08408e18802b1391caa3aea045a72c1bff47ac"},
|
||||
{file = "Cython-0.29.28.tar.gz", hash = "sha256:d6fac2342802c30e51426828fe084ff4deb1b3387367cf98976bb2e64b6f8e45"},
|
||||
]
|
||||
fonttools = [
|
||||
{file = "fonttools-4.33.3-py3-none-any.whl", hash = "sha256:f829c579a8678fa939a1d9e9894d01941db869de44390adb49ce67055a06cc2a"},
|
||||
{file = "fonttools-4.33.3.zip", hash = "sha256:c0fdcfa8ceebd7c1b2021240bd46ef77aa8e7408cf10434be55df52384865f8e"},
|
||||
]
|
||||
h5py = [
|
||||
{file = "h5py-3.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a5320837c60870911645e9a935099bdb2be6a786fcf0dac5c860f3b679e2de55"},
|
||||
{file = "h5py-3.6.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:98646e659bf8591a2177e12a4461dced2cad72da0ba4247643fd118db88880d2"},
|
||||
{file = "h5py-3.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:5996ff5adefd2d68c330a4265b6ef92e51b2fc674834a5990add5033bf109e20"},
|
||||
{file = "h5py-3.6.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c9a5529343a619fea777b7caa27d493595b28b5af8b005e8d1817559fcccf493"},
|
||||
{file = "h5py-3.6.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e2b49c48df05e19bb20b400b7ff7dc6f1ee36b84dc717c3771c468b33697b466"},
|
||||
{file = "h5py-3.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd9447633b0bafaf82190d9a8d56f3cb2e8d30169483aee67d800816e028190a"},
|
||||
{file = "h5py-3.6.0-cp37-cp37m-win_amd64.whl", hash = "sha256:1c5acc660c458421e88c4c5fe092ce15923adfac4c732af1ac4fced683a5ea97"},
|
||||
{file = "h5py-3.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:35ab552c6f0a93365b3cb5664a5305f3920daa0a43deb5b2c547c52815ec46b9"},
|
||||
{file = "h5py-3.6.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:542781d50e1182b8fb619b1265dfe1c765e18215f818b0ab28b2983c28471325"},
|
||||
{file = "h5py-3.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f39242960b8d7f86f3056cc2546aa3047ff4835985f6483229af8f029e9c8db"},
|
||||
{file = "h5py-3.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:8ecedf16c613973622a334701f67edcc0249469f9daa0576e994fb20ac0405db"},
|
||||
{file = "h5py-3.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d8cacad89aa7daf3626fce106f7f2662ac35b14849df22d252d0d8fab9dc1c0b"},
|
||||
{file = "h5py-3.6.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dbaa1ed9768bf9ff04af0919acc55746e62b28333644f0251f38768313f31745"},
|
||||
{file = "h5py-3.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:954c5c39a09b5302f69f752c3bbf165d368a65c8d200f7d5655e0fa6368a75e6"},
|
||||
{file = "h5py-3.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:9fd8a14236fdd092a20c0bdf25c3aba3777718d266fabb0fdded4fcf252d1630"},
|
||||
{file = "h5py-3.6.0.tar.gz", hash = "sha256:8752d2814a92aba4e2b2a5922d2782d0029102d99caaf3c201a566bc0b40db29"},
|
||||
]
|
||||
imageio = [
|
||||
{file = "imageio-2.19.0-py3-none-any.whl", hash = "sha256:7e803cd50a6b271e96e18f14767f8c2e01f27b84f93768cf9f08ad5277e9d030"},
|
||||
{file = "imageio-2.19.0.tar.gz", hash = "sha256:cd8c946ecdf71f2fc74419b2e3c97a46104e91c2d2c4288d3217eae366778638"},
|
||||
]
|
||||
kiwisolver = [
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:6e395ece147f0692ca7cdb05a028d31b83b72c369f7b4a2c1798f4b96af1e3d8"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0b7f50a1a25361da3440f07c58cd1d79957c2244209e4f166990e770256b6b0b"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3c032c41ae4c3a321b43a3650e6ecc7406b99ff3e5279f24c9b310f41bc98479"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1dcade8f6fe12a2bb4efe2cbe22116556e3b6899728d3b2a0d3b367db323eacc"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:0e45e780a74416ef2f173189ef4387e44b5494f45e290bcb1f03735faa6779bf"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9d2bb56309fb75a811d81ed55fbe2208aa77a3a09ff5f546ca95e7bb5fac6eff"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:69b2d6c12f2ad5f55104a36a356192cfb680c049fe5e7c1f6620fc37f119cdc2"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:262c248c60f22c2b547683ad521e8a3db5909c71f679b93876921549107a0c24"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-win32.whl", hash = "sha256:1008346a7741620ab9cc6c96e8ad9b46f7a74ce839dbb8805ddf6b119d5fc6c2"},
|
||||
{file = "kiwisolver-1.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:6ece2e12e4b57bc5646b354f436416cd2a6f090c1dadcd92b0ca4542190d7190"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:b978afdb913ca953cf128d57181da2e8798e8b6153be866ae2a9c446c6162f40"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f88c4b8e449908eeddb3bbd4242bd4dc2c7a15a7aa44bb33df893203f02dc2d"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e348f1904a4fab4153407f7ccc27e43b2a139752e8acf12e6640ba683093dd96"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c839bf28e45d7ddad4ae8f986928dbf5a6d42ff79760d54ec8ada8fb263e097c"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:8ae5a071185f1a93777c79a9a1e67ac46544d4607f18d07131eece08d415083a"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c222f91a45da9e01a9bc4f760727ae49050f8e8345c4ff6525495f7a164c8973"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-win32.whl", hash = "sha256:a4e8f072db1d6fb7a7cc05a6dbef8442c93001f4bb604f1081d8c2db3ca97159"},
|
||||
{file = "kiwisolver-1.4.2-cp37-cp37m-win_amd64.whl", hash = "sha256:be9a650890fb60393e60aacb65878c4a38bb334720aa5ecb1c13d0dac54dd73b"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8ec2e55bf31b43aabe32089125dca3b46fdfe9f50afbf0756ae11e14c97b80ca"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d1078ba770d6165abed3d9a1be1f9e79b61515de1dd00d942fa53bba79f01ae"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cbb5eb4a2ea1ffec26268d49766cafa8f957fe5c1b41ad00733763fae77f9436"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e6cda72db409eefad6b021e8a4f964965a629f577812afc7860c69df7bdb84a"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b1605c7c38cc6a85212dfd6a641f3905a33412e49f7c003f35f9ac6d71f67720"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:81237957b15469ea9151ec8ca08ce05656090ffabc476a752ef5ad7e2644c526"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:240009fdf4fa87844f805e23f48995537a8cb8f8c361e35fda6b5ac97fcb906f"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:240c2d51d098395c012ddbcb9bd7b3ba5de412a1d11840698859f51d0e643c4f"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-win32.whl", hash = "sha256:8b6086aa6936865962b2cee0e7aaecf01ab6778ce099288354a7229b4d9f1408"},
|
||||
{file = "kiwisolver-1.4.2-cp38-cp38-win_amd64.whl", hash = "sha256:0d98dca86f77b851350c250f0149aa5852b36572514d20feeadd3c6b1efe38d0"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:91eb4916271655dfe3a952249cb37a5c00b6ba68b4417ee15af9ba549b5ba61d"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fa4d97d7d2b2c082e67907c0b8d9f31b85aa5d3ba0d33096b7116f03f8061261"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:71469b5845b9876b8d3d252e201bef6f47bf7456804d2fbe9a1d6e19e78a1e65"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8ff3033e43e7ca1389ee59fb7ecb8303abb8713c008a1da49b00869e92e3dd7c"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:89b57c2984f4464840e4b768affeff6b6809c6150d1166938ade3e22fbe22db8"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffbdb9a96c536f0405895b5e21ee39ec579cb0ed97bdbd169ae2b55f41d73219"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8a830a03970c462d1a2311c90e05679da56d3bd8e78a4ba9985cb78ef7836c9f"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f74f2a13af201559e3d32b9ddfc303c94ae63d63d7f4326d06ce6fe67e7a8255"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-win32.whl", hash = "sha256:e677cc3626287f343de751e11b1e8a5b915a6ac897e8aecdbc996cd34de753a0"},
|
||||
{file = "kiwisolver-1.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:b3e251e5c38ac623c5d786adb21477f018712f8c6fa54781bd38aa1c60b60fc2"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0c380bb5ae20d829c1a5473cfcae64267b73aaa4060adc091f6df1743784aae0"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:484f2a5f0307bc944bc79db235f41048bae4106ffa764168a068d88b644b305d"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e8afdf533b613122e4bbaf3c1e42c2a5e9e2d1dd3a0a017749a7658757cb377"},
|
||||
{file = "kiwisolver-1.4.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:42f6ef9b640deb6f7d438e0a371aedd8bef6ddfde30683491b2e6f568b4e884e"},
|
||||
{file = "kiwisolver-1.4.2.tar.gz", hash = "sha256:7f606d91b8a8816be476513a77fd30abe66227039bd6f8b406c348cb0247dcc9"},
|
||||
]
|
||||
matplotlib = [
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:03bbb3f5f78836855e127b5dab228d99551ad0642918ccbf3067fcd52ac7ac5e"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:49a5938ed6ef9dda560f26ea930a2baae11ea99e1c2080c8714341ecfda72a89"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:77157be0fc4469cbfb901270c205e7d8adb3607af23cef8bd11419600647ceed"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5844cea45d804174bf0fac219b4ab50774e504bef477fc10f8f730ce2d623441"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c87973ddec10812bddc6c286b88fdd654a666080fbe846a1f7a3b4ba7b11ab78"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a05f2b37222319753a5d43c0a4fd97ed4ff15ab502113e3f2625c26728040cf"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-win32.whl", hash = "sha256:9776e1a10636ee5f06ca8efe0122c6de57ffe7e8c843e0fb6e001e9d9256ec95"},
|
||||
{file = "matplotlib-3.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:b4fedaa5a9aa9ce14001541812849ed1713112651295fdddd640ea6620e6cf98"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:ee175a571e692fc8ae8e41ac353c0e07259113f4cb063b0ec769eff9717e84bb"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e8bda1088b941ead50caabd682601bece983cadb2283cafff56e8fcddbf7d7f"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9480842d5aadb6e754f0b8f4ebeb73065ac8be1855baa93cd082e46e770591e9"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6c623b355d605a81c661546af7f24414165a8a2022cddbe7380a31a4170fa2e9"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-win32.whl", hash = "sha256:a91426ae910819383d337ba0dc7971c7cefdaa38599868476d94389a329e599b"},
|
||||
{file = "matplotlib-3.5.2-cp37-cp37m-win_amd64.whl", hash = "sha256:c4b82c2ae6d305fcbeb0eb9c93df2602ebd2f174f6e8c8a5d92f9445baa0c1d3"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:ebc27ad11df3c1661f4677a7762e57a8a91dd41b466c3605e90717c9a5f90c82"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a32ea6e12e80dedaca2d4795d9ed40f97bfa56e6011e14f31502fdd528b9c89"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2a0967d4156adbd0d46db06bc1a877f0370bce28d10206a5071f9ecd6dc60b79"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2b696699386766ef171a259d72b203a3c75d99d03ec383b97fc2054f52e15cf"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7f409716119fa39b03da3d9602bd9b41142fab7a0568758cd136cd80b1bf36c8"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b8d3f4e71e26307e8c120b72c16671d70c5cd08ae412355c11254aa8254fb87f"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-win32.whl", hash = "sha256:b6c63cd01cad0ea8704f1fd586e9dc5777ccedcd42f63cbbaa3eae8dd41172a1"},
|
||||
{file = "matplotlib-3.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:75c406c527a3aa07638689586343f4b344fcc7ab1f79c396699eb550cd2b91f7"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4a44cdfdb9d1b2f18b1e7d315eb3843abb097869cd1ef89cfce6a488cd1b5182"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3d8e129af95b156b41cb3be0d9a7512cc6d73e2b2109f82108f566dbabdbf377"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:364e6bca34edc10a96aa3b1d7cd76eb2eea19a4097198c1b19e89bee47ed5781"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea75df8e567743207e2b479ba3d8843537be1c146d4b1e3e395319a4e1a77fe9"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:44c6436868186564450df8fd2fc20ed9daaef5caad699aa04069e87099f9b5a8"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7d7705022df2c42bb02937a2a824f4ec3cca915700dd80dc23916af47ff05f1a"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-win32.whl", hash = "sha256:ee0b8e586ac07f83bb2950717e66cb305e2859baf6f00a9c39cc576e0ce9629c"},
|
||||
{file = "matplotlib-3.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:c772264631e5ae61f0bd41313bbe48e1b9bcc95b974033e1118c9caa1a84d5c6"},
|
||||
{file = "matplotlib-3.5.2-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:751d3815b555dcd6187ad35b21736dc12ce6925fc3fa363bbc6dc0f86f16484f"},
|
||||
{file = "matplotlib-3.5.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:31fbc2af27ebb820763f077ec7adc79b5a031c2f3f7af446bd7909674cd59460"},
|
||||
{file = "matplotlib-3.5.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4fa28ca76ac5c2b2d54bc058b3dad8e22ee85d26d1ee1b116a6fd4d2277b6a04"},
|
||||
{file = "matplotlib-3.5.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:24173c23d1bcbaed5bf47b8785d27933a1ac26a5d772200a0f3e0e38f471b001"},
|
||||
{file = "matplotlib-3.5.2.tar.gz", hash = "sha256:48cf850ce14fa18067f2d9e0d646763681948487a8080ec0af2686468b4607a2"},
|
||||
]
|
||||
numpy = [
|
||||
{file = "numpy-1.22.3-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:92bfa69cfbdf7dfc3040978ad09a48091143cffb778ec3b03fa170c494118d75"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8251ed96f38b47b4295b1ae51631de7ffa8260b5b087808ef09a39a9d66c97ab"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:48a3aecd3b997bf452a2dedb11f4e79bc5bfd21a1d4cc760e703c31d57c84b3e"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a3bae1a2ed00e90b3ba5f7bd0a7c7999b55d609e0c54ceb2b076a25e345fa9f4"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-win32.whl", hash = "sha256:f950f8845b480cffe522913d35567e29dd381b0dc7e4ce6a4a9f9156417d2430"},
|
||||
{file = "numpy-1.22.3-cp310-cp310-win_amd64.whl", hash = "sha256:08d9b008d0156c70dc392bb3ab3abb6e7a711383c3247b410b39962263576cd4"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:201b4d0552831f7250a08d3b38de0d989d6f6e4658b709a02a73c524ccc6ffce"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f8c1f39caad2c896bc0018f699882b345b2a63708008be29b1f355ebf6f933fe"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:568dfd16224abddafb1cbcce2ff14f522abe037268514dd7e42c6776a1c3f8e5"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ca688e1b9b95d80250bca34b11a05e389b1420d00e87a0d12dc45f131f704a1"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-win32.whl", hash = "sha256:e7927a589df200c5e23c57970bafbd0cd322459aa7b1ff73b7c2e84d6e3eae62"},
|
||||
{file = "numpy-1.22.3-cp38-cp38-win_amd64.whl", hash = "sha256:07a8c89a04997625236c5ecb7afe35a02af3896c8aa01890a849913a2309c676"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:2c10a93606e0b4b95c9b04b77dc349b398fdfbda382d2a39ba5a822f669a0123"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fade0d4f4d292b6f39951b6836d7a3c7ef5b2347f3c420cd9820a1d90d794802"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5bfb1bb598e8229c2d5d48db1860bcf4311337864ea3efdbe1171fb0c5da515d"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97098b95aa4e418529099c26558eeb8486e66bd1e53a6b606d684d0c3616b168"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-win32.whl", hash = "sha256:fdf3c08bce27132395d3c3ba1503cac12e17282358cb4bddc25cc46b0aca07aa"},
|
||||
{file = "numpy-1.22.3-cp39-cp39-win_amd64.whl", hash = "sha256:639b54cdf6aa4f82fe37ebf70401bbb74b8508fddcf4797f9fe59615b8c5813a"},
|
||||
{file = "numpy-1.22.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c34ea7e9d13a70bf2ab64a2532fe149a9aced424cd05a2c4ba662fd989e3e45f"},
|
||||
{file = "numpy-1.22.3.zip", hash = "sha256:dbc7601a3b7472d559dc7b933b18b4b66f9aa7452c120e87dfb33d02008c8a18"},
|
||||
]
|
||||
packaging = [
|
||||
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
|
||||
{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
|
||||
]
|
||||
pandas = [
|
||||
{file = "pandas-1.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:be67c782c4f1b1f24c2f16a157e12c2693fd510f8df18e3287c77f33d124ed07"},
|
||||
{file = "pandas-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5a206afa84ed20e07603f50d22b5f0db3fb556486d8c2462d8bc364831a4b417"},
|
||||
{file = "pandas-1.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0010771bd9223f7afe5f051eb47c4a49534345dfa144f2f5470b27189a4dd3b5"},
|
||||
{file = "pandas-1.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3228198333dd13c90b6434ddf61aa6d57deaca98cf7b654f4ad68a2db84f8cfe"},
|
||||
{file = "pandas-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b79af3a69e5175c6fa7b4e046b21a646c8b74e92c6581a9d825687d92071b51"},
|
||||
{file = "pandas-1.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:5586cc95692564b441f4747c47c8a9746792e87b40a4680a2feb7794defb1ce3"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:061609334a8182ab500a90fe66d46f6f387de62d3a9cb9aa7e62e3146c712167"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b8134651258bce418cb79c71adeff0a44090c98d955f6953168ba16cc285d9f7"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:df82739e00bb6daf4bba4479a40f38c718b598a84654cbd8bb498fd6b0aa8c16"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:385c52e85aaa8ea6a4c600a9b2821181a51f8be0aee3af6f2dcb41dafc4fc1d0"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:295872bf1a09758aba199992c3ecde455f01caf32266d50abc1a073e828a7b9d"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-win32.whl", hash = "sha256:95c1e422ced0199cf4a34385ff124b69412c4bc912011ce895582bee620dfcaa"},
|
||||
{file = "pandas-1.4.2-cp38-cp38-win_amd64.whl", hash = "sha256:5c54ea4ef3823108cd4ec7fb27ccba4c3a775e0f83e39c5e17f5094cb17748bc"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c072c7f06b9242c855ed8021ff970c0e8f8b10b35e2640c657d2a541c5950f59"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f549097993744ff8c41b5e8f2f0d3cbfaabe89b4ae32c8c08ead6cc535b80139"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ff08a14ef21d94cdf18eef7c569d66f2e24e0bc89350bcd7d243dd804e3b5eb2"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c5bf555b6b0075294b73965adaafb39cf71c312e38c5935c93d78f41c19828a"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51649ef604a945f781105a6d2ecf88db7da0f4868ac5d45c51cb66081c4d9c73"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-win32.whl", hash = "sha256:d0d4f13e4be7ce89d7057a786023c461dd9370040bdb5efa0a7fe76b556867a0"},
|
||||
{file = "pandas-1.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:09d8be7dd9e1c4c98224c4dfe8abd60d145d934e9fc1f5f411266308ae683e6a"},
|
||||
{file = "pandas-1.4.2.tar.gz", hash = "sha256:92bc1fc585f1463ca827b45535957815b7deb218c549b7c18402c322c7549a12"},
|
||||
]
|
||||
pillow = [
|
||||
{file = "Pillow-9.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:af79d3fde1fc2e33561166d62e3b63f0cc3e47b5a3a2e5fea40d4917754734ea"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:55dd1cf09a1fd7c7b78425967aacae9b0d70125f7d3ab973fadc7b5abc3de652"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:66822d01e82506a19407d1afc104c3fcea3b81d5eb11485e593ad6b8492f995a"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a5eaf3b42df2bcda61c53a742ee2c6e63f777d0e085bbc6b2ab7ed57deb13db7"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:01ce45deec9df310cbbee11104bae1a2a43308dd9c317f99235b6d3080ddd66e"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:aea7ce61328e15943d7b9eaca87e81f7c62ff90f669116f857262e9da4057ba3"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-win32.whl", hash = "sha256:7a053bd4d65a3294b153bdd7724dce864a1d548416a5ef61f6d03bf149205160"},
|
||||
{file = "Pillow-9.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:97bda660702a856c2c9e12ec26fc6d187631ddfd896ff685814ab21ef0597033"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:21dee8466b42912335151d24c1665fcf44dc2ee47e021d233a40c3ca5adae59c"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b6d4050b208c8ff886fd3db6690bf04f9a48749d78b41b7a5bf24c236ab0165"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5cfca31ab4c13552a0f354c87fbd7f162a4fafd25e6b521bba93a57fe6a3700a"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed742214068efa95e9844c2d9129e209ed63f61baa4d54dbf4cf8b5e2d30ccf2"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-win32.whl", hash = "sha256:c9efef876c21788366ea1f50ecb39d5d6f65febe25ad1d4c0b8dff98843ac244"},
|
||||
{file = "Pillow-9.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:de344bcf6e2463bb25179d74d6e7989e375f906bcec8cb86edb8b12acbc7dfef"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:17869489de2fce6c36690a0c721bd3db176194af5f39249c1ac56d0bb0fcc512"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:25023a6209a4d7c42154073144608c9a71d3512b648a2f5d4465182cb93d3477"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8782189c796eff29dbb37dd87afa4ad4d40fc90b2742704f94812851b725964b"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:463acf531f5d0925ca55904fa668bb3461c3ef6bc779e1d6d8a488092bdee378"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3f42364485bfdab19c1373b5cd62f7c5ab7cc052e19644862ec8f15bb8af289e"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:3fddcdb619ba04491e8f771636583a7cc5a5051cd193ff1aa1ee8616d2a692c5"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-win32.whl", hash = "sha256:4fe29a070de394e449fd88ebe1624d1e2d7ddeed4c12e0b31624561b58948d9a"},
|
||||
{file = "Pillow-9.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:c24f718f9dd73bb2b31a6201e6db5ea4a61fdd1d1c200f43ee585fc6dcd21b34"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fb89397013cf302f282f0fc998bb7abf11d49dcff72c8ecb320f76ea6e2c5717"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c870193cce4b76713a2b29be5d8327c8ccbe0d4a49bc22968aa1e680930f5581"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69e5ddc609230d4408277af135c5b5c8fe7a54b2bdb8ad7c5100b86b3aab04c6"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35be4a9f65441d9982240e6966c1eaa1c654c4e5e931eaf580130409e31804d4"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:82283af99c1c3a5ba1da44c67296d5aad19f11c535b551a5ae55328a317ce331"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a325ac71914c5c043fa50441b36606e64a10cd262de12f7a179620f579752ff8"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-win32.whl", hash = "sha256:a598d8830f6ef5501002ae85c7dbfcd9c27cc4efc02a1989369303ba85573e58"},
|
||||
{file = "Pillow-9.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:0c51cb9edac8a5abd069fd0758ac0a8bfe52c261ee0e330f363548aca6893595"},
|
||||
{file = "Pillow-9.1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a336a4f74baf67e26f3acc4d61c913e378e931817cd1e2ef4dfb79d3e051b481"},
|
||||
{file = "Pillow-9.1.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:eb1b89b11256b5b6cad5e7593f9061ac4624f7651f7a8eb4dfa37caa1dfaa4d0"},
|
||||
{file = "Pillow-9.1.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:255c9d69754a4c90b0ee484967fc8818c7ff8311c6dddcc43a4340e10cd1636a"},
|
||||
{file = "Pillow-9.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5a3ecc026ea0e14d0ad7cd990ea7f48bfcb3eb4271034657dc9d06933c6629a7"},
|
||||
{file = "Pillow-9.1.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c5b0ff59785d93b3437c3703e3c64c178aabada51dea2a7f2c5eccf1bcf565a3"},
|
||||
{file = "Pillow-9.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c7110ec1701b0bf8df569a7592a196c9d07c764a0a74f65471ea56816f10e2c8"},
|
||||
{file = "Pillow-9.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:8d79c6f468215d1a8415aa53d9868a6b40c4682165b8cb62a221b1baa47db458"},
|
||||
{file = "Pillow-9.1.0.tar.gz", hash = "sha256:f401ed2bbb155e1ade150ccc63db1a4f6c1909d3d378f7d1235a44e90d75fb97"},
|
||||
]
|
||||
posix-ipc = [
|
||||
{file = "posix_ipc-1.0.5-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:ccb36ba90efec56a1796f1566eee9561f355a4f45babbc4d18ac46fb2d0b246b"},
|
||||
{file = "posix_ipc-1.0.5-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:613bf1afe90e84c06255ec1a6f52c9b24062492de66e5f0dbe068adf67fc3454"},
|
||||
{file = "posix_ipc-1.0.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6095bb4faa2bba8b8d0e833b804e0aedc352d5ed921edeb715010cbcd361e038"},
|
||||
{file = "posix_ipc-1.0.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:621918abe7ec68591c5839b0771d163a9809bc232bf413b9a681bf986ab68d4d"},
|
||||
{file = "posix_ipc-1.0.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f71587ad3a50e82583987f62bfd4ac2343ab6a206d1032e3fc560e8d55fe0346"},
|
||||
{file = "posix_ipc-1.0.5.tar.gz", hash = "sha256:6cddb1ce2cf4aae383f2a0079c26c69bee257fe2720f372201ef047f8ceb8b97"},
|
||||
]
|
||||
pynbody = [
|
||||
{file = "pynbody-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:08d3cbb9f872afa4a158d97c55fbad9e308797f54562d847de82a035e07a38fb"},
|
||||
{file = "pynbody-1.1.0-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:75ee1841b4764b4e79d3f021811a685e55132db559d6269e1f7ee01649a73da8"},
|
||||
{file = "pynbody-1.1.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6497e43f6eba5666495fe33947a399b2dec5b105c78022c32c19ed85bd3c4d2d"},
|
||||
{file = "pynbody-1.1.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:c844423d5bb1359a1468e7f1c7245c83885959a1d27e19dc232aa4a34015b151"},
|
||||
{file = "pynbody-1.1.0-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:c88fd48a63b74a64f919db3375acf71e9ecdc7a61a7c91e8071639e7ea40ae4d"},
|
||||
{file = "pynbody-1.1.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:d0000335b6e9242f7cf28808619e8cfc059e92043eccd8a585ed6541d9cc844f"},
|
||||
{file = "pynbody-1.1.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:099580a111066e706f1629334cb084cdc790f4594e96095225899df69fc66e13"},
|
||||
{file = "pynbody-1.1.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:d241a0b412a6f524a56169714b5e3e0d6920cbf8385efc6933c9e6b9dc7075c2"},
|
||||
{file = "pynbody-1.1.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e2fd0ddb58b1952b583d9c59b380a1ea54a978a3e8bc4a4662f97e3c8c74511c"},
|
||||
{file = "pynbody-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ab6b4b1ae9a2a10fe2abb8dd1d54e6615e4d545586e9953384ece98ae53998d7"},
|
||||
{file = "pynbody-1.1.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:f938d98a005d5516bc8f1e06fdaebc526e702c37729988768ae64eb4b8486bbb"},
|
||||
{file = "pynbody-1.1.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2d0d84bd461ba2e635a31d349a415602c5d5587686025f9965f699733ef93bcb"},
|
||||
{file = "pynbody-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b61284bbdbf5f94618a2e9dc327c09b96f6fcb172bbe7a3dcbdad5d9d610bde"},
|
||||
{file = "pynbody-1.1.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b0c3d3aa15181d3662f857852ba58a6cd6899d9bf630b8772c19fb2a72615cee"},
|
||||
{file = "pynbody-1.1.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:b45ed467a4f0d619e90c161c5dbd12127303428115afe7f8b8257f866c51c5c8"},
|
||||
{file = "pynbody-1.1.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:278df0bdbc3c460cb10a66a861ca6cd43d82bc577d46fc52fcf1aac746ac88f3"},
|
||||
{file = "pynbody-1.1.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cd588933cd1fa4b502b02cb5cd1af3d9d471b6f1120e1a2a07f510a1b10d143b"},
|
||||
{file = "pynbody-1.1.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:e5bf48c066d26d271dbb94f10f9a25263bfdf068c580f9ea53fe7beef10991a2"},
|
||||
{file = "pynbody-1.1.0.tar.gz", hash = "sha256:e43c99c2c1e471532efd9675aacb88469b5a372250ccd9e05a60897c0e31f469"},
|
||||
]
|
||||
pyparsing = [
|
||||
{file = "pyparsing-3.0.8-py3-none-any.whl", hash = "sha256:ef7b523f6356f763771559412c0d7134753f037822dad1b16945b7b846f7ad06"},
|
||||
{file = "pyparsing-3.0.8.tar.gz", hash = "sha256:7bf433498c016c4314268d95df76c81b842a4cb2b276fa3312cfb1e1d85f6954"},
|
||||
]
|
||||
python-dateutil = [
|
||||
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
|
||||
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
||||
]
|
||||
pytz = [
|
||||
{file = "pytz-2022.1-py2.py3-none-any.whl", hash = "sha256:e68985985296d9a66a881eb3193b0906246245294a881e7c8afe623866ac6a5c"},
|
||||
{file = "pytz-2022.1.tar.gz", hash = "sha256:1e760e2fe6a8163bc0b3d9a19c4f84342afa0a2affebfaa84b01b978a02ecaa7"},
|
||||
]
|
||||
pyvista = [
|
||||
{file = "pyvista-0.34.1-py3-none-any.whl", hash = "sha256:93d725b84eb037b44cccc45ea65f59bb25f9515238781217614a297f9cdff5fd"},
|
||||
{file = "pyvista-0.34.1.tar.gz", hash = "sha256:3fe322d76c5e74797242026d338f948c4cebeee99efcc817fbf97e39a09ccfb0"},
|
||||
]
|
||||
scipy = [
|
||||
{file = "scipy-1.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:87b01c7d5761e8a266a0fbdb9d88dcba0910d63c1c671bdb4d99d29f469e9e03"},
|
||||
{file = "scipy-1.8.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ae3e327da323d82e918e593460e23babdce40d7ab21490ddf9fc06dec6b91a18"},
|
||||
{file = "scipy-1.8.0-cp310-cp310-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:16e09ef68b352d73befa8bcaf3ebe25d3941fe1a58c82909d5589856e6bc8174"},
|
||||
{file = "scipy-1.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c17a1878d00a5dd2797ccd73623ceca9d02375328f6218ee6d921e1325e61aff"},
|
||||
{file = "scipy-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:937d28722f13302febde29847bbe554b89073fbb924a30475e5ed7b028898b5f"},
|
||||
{file = "scipy-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:8f4d059a97b29c91afad46b1737274cb282357a305a80bdd9e8adf3b0ca6a3f0"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:38aa39b6724cb65271e469013aeb6f2ce66fd44f093e241c28a9c6bc64fd79ed"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:559a8a4c03a5ba9fe3232f39ed24f86457e4f3f6c0abbeae1fb945029f092720"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:f4a6d3b9f9797eb2d43938ac2c5d96d02aed17ef170c8b38f11798717523ddba"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:92b2c2af4183ed09afb595709a8ef5783b2baf7f41e26ece24e1329c109691a7"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a279e27c7f4566ef18bab1b1e2c37d168e365080974758d107e7d237d3f0f484"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad5be4039147c808e64f99c0e8a9641eb5d2fa079ff5894dcd8240e94e347af4"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-win32.whl", hash = "sha256:3d9dd6c8b93a22bf9a3a52d1327aca7e092b1299fb3afc4f89e8eba381be7b59"},
|
||||
{file = "scipy-1.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:5e73343c5e0d413c1f937302b2e04fb07872f5843041bcfd50699aef6e95e399"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:de2e80ee1d925984c2504812a310841c241791c5279352be4707cdcd7c255039"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:c2bae431d127bf0b1da81fc24e4bba0a84d058e3a96b9dd6475dfcb3c5e8761e"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-macosx_12_0_universal2.macosx_10_9_x86_64.whl", hash = "sha256:723b9f878095ed994756fa4ee3060c450e2db0139c5ba248ee3f9628bd64e735"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:011d4386b53b933142f58a652aa0f149c9b9242abd4f900b9f4ea5fbafc86b89"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6f0cd9c0bd374ef834ee1e0f0999678d49dcc400ea6209113d81528958f97c7"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3720d0124aced49f6f2198a6900304411dbbeed12f56951d7c66ebef05e3df6"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-win32.whl", hash = "sha256:3d573228c10a3a8c32b9037be982e6440e411b443a6267b067cac72f690b8d56"},
|
||||
{file = "scipy-1.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:bb7088e89cd751acf66195d2f00cf009a1ea113f3019664032d9075b1e727b6c"},
|
||||
{file = "scipy-1.8.0.tar.gz", hash = "sha256:31d4f2d6b724bc9a98e527b5849b8a7e589bf1ea630c33aa563eda912c9ff0bd"},
|
||||
]
|
||||
scooby = [
|
||||
{file = "scooby-0.5.12-py3-none-any.whl", hash = "sha256:4e0a467a357e5499b36ac336f84404337f174af650b0f9e8f935f9b39ea8409d"},
|
||||
{file = "scooby-0.5.12.tar.gz", hash = "sha256:874828e38834c1ccb2236a7491e0739675086608c6588abf132cdd0049458192"},
|
||||
]
|
||||
setuptools-scm = [
|
||||
{file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"},
|
||||
{file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"},
|
||||
]
|
||||
six = [
|
||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
]
|
||||
tomli = [
|
||||
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
|
||||
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
|
||||
]
|
||||
vtk = []
|
||||
22
pyproject.toml
Normal file
22
pyproject.toml
Normal file
|
|
@ -0,0 +1,22 @@
|
|||
[tool.poetry]
|
||||
name = "halo_comparison"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Lukas Winkler <git@lw1.at>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.9,<3.11"
|
||||
matplotlib = "^3.5.2"
|
||||
numpy = "^1.22.3"
|
||||
h5py = "^3.6.0"
|
||||
vtk = {url = "https://github.com/pyvista/pyvista-wheels/raw/main/vtk-9.1.0.dev0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"}
|
||||
pyvista = "^0.34.1"
|
||||
pandas = "^1.4.2"
|
||||
scipy = "^1.8.0"
|
||||
pynbody = "^1.1.0"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
|
@ -1,4 +1,5 @@
|
|||
import pickle
|
||||
import sqlite3
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Tuple
|
||||
|
|
@ -33,6 +34,8 @@ def read_file(path: Path) -> Tuple[pd.DataFrame, ParticlesMeta]:
|
|||
df = df.merge(df3, "outer", left_index=True, right_index=True)
|
||||
del df3
|
||||
df.set_index("ParticleIDs", inplace=True)
|
||||
print("sorting")
|
||||
df.sort_values("FOFGroupIDs",inplace=True)
|
||||
meta = ParticlesMeta(
|
||||
particle_mass=masses[0]
|
||||
)
|
||||
|
|
|
|||
6
sizes.py
6
sizes.py
|
|
@ -7,12 +7,12 @@ df = pd.read_csv("sizes.csv")
|
|||
|
||||
print(df)
|
||||
|
||||
df = df.iloc[:50]
|
||||
# df = df.iloc
|
||||
|
||||
fig: Figure = plt.figure()
|
||||
ax: Axes = fig.gca()
|
||||
# ax.scatter(df["ref_sizes"], df["comp_sizes"], s=1, alpha=.3)
|
||||
ax.scatter(df["ref_masses"], df["comp_masses"], s=3)
|
||||
ax.scatter(df["ref_sizes"], df["comp_sizes"], s=1, alpha=.3)
|
||||
# ax.scatter(df["ref_masses"], df["comp_masses"], s=3)
|
||||
|
||||
ax.set_xscale("log")
|
||||
ax.set_yscale("log")
|
||||
|
|
|
|||
10
utils.py
Normal file
10
utils.py
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
import pandas as pd
|
||||
|
||||
|
||||
def print_progress(i, total, extra_data=""):
|
||||
print(f"{i} of {total} ({extra_data})" + " " * 20, end="\r" if i != total else "\n", flush=True)
|
||||
|
||||
|
||||
def memory_usage(df: pd.DataFrame):
|
||||
bytes_used = df.memory_usage(index=True).sum()
|
||||
return bytes_used / 1024 / 1024
|
||||
Loading…
Reference in a new issue