Mod: extra gui dependencies

Fix: parallel database usage
Fix: reduced memory usage
Fix: env paths in gui
This commit is contained in:
L-Nafaryus 2022-01-10 15:38:55 +05:00
parent b41c730e48
commit 3eb1029cb5
9 changed files with 483 additions and 215 deletions

View File

@ -194,7 +194,7 @@ def compute(path, configFile, nprocs, stage, overwrite, params, verbose, executi
for k, v in args.items():
if v is not None:
config.update(**{ k: v })
if pid:
pidpath = os.path.abspath(pid)
@ -206,6 +206,7 @@ def compute(path, configFile, nprocs, stage, overwrite, params, verbose, executi
runner.start()
os.remove(pidpath)
logger.info("Computation done. Exiting ...")
@anisotropy.command()
@click.option(

View File

@ -104,18 +104,18 @@ class DefaultConfig(Config):
def __init__(self):
Config.__init__(self)
self.options = {
"nprocs": 1,
"stage": "all",
"overwrite": False,
"database": "anisotropy.db",
"build": "build",
"logs": "logs"
}
self.content = {
"options": {
"nprocs": 1,
"stage": "all",
"overwrite": False,
"database": "anisotropy.db",
"build": "build",
"logs": "logs"
},
"structures": []
}
self.options = deepcopy(self.content["options"])
labels = ["simple", "bodyCentered", "faceCentered"]
alphas = [[0.01, 0.28], [0.01, 0.17], [0.01, 0.13]]

View File

@ -37,10 +37,13 @@ class UltimateRunner(object):
if exec_id:
if self.database.getExecution(exec_id):
self.exec_id = exec_id
else:
logger.warning(f"Execution id '{ exec_id }' not found. Creating new.")
if not self.exec_id:
with self.database:
self.exec_id = T.Execution.create(date=datetime.now())
self.exec_id = T.Execution.create(date = datetime.now())
# Parameters
self.shape = None
@ -50,23 +53,33 @@ class UltimateRunner(object):
self.queue = []
def dispose(self):
self.shape = None
self.mesh = None
self.flow = None
def createRow(self):
# create a row in each table for the current case
with self.database:
shape = self.database.getShape(execution = self.exec_id, **self.config.params)
if not shape:
shape = T.Shape.create(exec_id = self.exec_id, **self.config.params)
if not shape:
shape = T.Shape(exec_id = self.exec_id, **self.config.params)
self.database.csave(shape)
with self.database:
mesh = self.database.getMesh(execution = self.exec_id, **self.config.params)
if not mesh:
mesh = T.Mesh.create(shape_id = shape)
if not mesh:
mesh = T.Mesh(shape_id = shape.shape_id)
self.database.csave(mesh)
with self.database:
flow = self.database.getFlowOnephase(execution = self.exec_id, **self.config.params)
if not flow:
flow = T.FlowOnephase.create(mesh_id = mesh, **self.config.params)
if not flow:
flow = T.FlowOnephase(mesh_id = mesh.mesh_id, **self.config.params)
self.database.csave(mesh)
def fill(self):
self.config.expand()
@ -156,9 +169,11 @@ class UltimateRunner(object):
logger.error(err)
shapeParams.shapeStatus = "failed"
with self.database:
shapeParams.shapeExecutionTime = timer.elapsed()
shapeParams.save()
#with self.database:
shapeParams.shapeExecutionTime = timer.elapsed()
#shapeParams.save()
self.database.csave(shapeParams)
self.dispose()
def computeMesh(self):
out, err, returncode = "", "", 0
@ -177,8 +192,8 @@ class UltimateRunner(object):
timer = Timer()
if not self.shape:
filename = "shape.step"
filepath = path.join(self.casepath(), filename)
shapefile = "shape.step"
filepath = path.join(self.casepath(), shapefile)
if not path.exists(filepath) and not path.isfile(filepath):
err = f"File not found: { filepath }"
@ -215,7 +230,8 @@ class UltimateRunner(object):
with self.database:
meshParams.meshExecutionTime = timer.elapsed()
meshParams.save()
self.dispose()
def computeFlow(self):
params = self.config.params
query = (
@ -301,6 +317,8 @@ class UltimateRunner(object):
with self.database:
flowParams.save()
self.dispose()
def pipeline(self, stage: str = None):
stage = stage or self.config["stage"]

View File

@ -3,7 +3,7 @@
# License: GNU GPL version 3, see the file "LICENSE" for details.
import os
from peewee import SqliteDatabase, JOIN
from peewee import SqliteDatabase, JOIN, OperationalError
from . import models
class Database(SqliteDatabase):
@ -42,6 +42,23 @@ class Database(SqliteDatabase):
with self:
self.create_tables(self.tables)
def csave(self, table, tries: int = 100):
while tries >= 0:
if self.is_closed():
self.connect()
try:
table.save()
except OperationalError as e:
logger.debug(e)
tries -= 1
time.sleep(1)
else:
self.close()
break
def getExecution(self, idn):
query = models.Execution.select().where(models.Execution.exec_id == idn)

View File

@ -32,6 +32,9 @@ layout = html.Div([
# Runner
html.H2("Runner"),
html.Hr(),
html.P("Execution (leave zero for the latest)"),
dcc.Input(id = "execution", type = "number", value = 0, min = 0, style = minWidth),
html.Br(),
dbc.Button("Start", id = "start", color = "success", style = minWidth),
dbc.Button("Stop", id = "stop", color = "danger", disabled = True, style = minWidth),
@ -56,21 +59,25 @@ layout = html.Div([
@app.callback(
Output("start", "active"),
[ Input("start", "n_clicks") ],
[ State("execution", "value") ],
prevent_initial_call = True
)
def runnerStart(clicks):
def runnerStart(clicks, execution):
import subprocess
command = [
"anisotropy",
"compute",
"-v",
"--path", "/tmp/anisotropy",
"--conf", "anisotropy.toml",
"--path", os.environ["ANISOTROPY_CWD"],
"--conf", os.environ["ANISOTROPY_CONF_FILE"],
"--pid", "anisotropy.pid",
"--logfile", "anisotropy.log"
"--logfile", os.environ["ANISOTROPY_LOG_FILE"],
]
if execution > 0:
command.extend([ "--exec-id", str(execution) ])
subprocess.run(
command,
start_new_session = True,
@ -87,7 +94,7 @@ def runnerStop(clicks):
import psutil
import signal
pidpath = "/tmp/anisotropy/anisotropy.pid"
pidpath = os.path.join(os.environ["ANISOTROPY_CWD"], "anisotropy.pid")
try:
pid = int(open(pidpath, "r").read())
@ -115,7 +122,7 @@ def runnerStop(clicks):
def monitorUpdate(intervals):
import psutil
pidpath = "/tmp/anisotropy/anisotropy.pid"
pidpath = os.path.join(os.environ["ANISOTROPY_CWD"], "anisotropy.pid")
processes = []
try:
@ -146,7 +153,7 @@ def monitorUpdate(intervals):
[ Input("interval", "n_intervals") ]
)
def logUpdate(intervals):
logpath = "/tmp/anisotropy/anisotropy.log"
logpath = os.path.join(os.environ["ANISOTROPY_CWD"], "anisotropy.log")
if os.path.exists(logpath):
with open(logpath, "r") as io:
@ -160,10 +167,11 @@ def logUpdate(intervals):
@app.callback(
Output("delete", "active"),
[ Input("delete", "n_clicks") ]
[ Input("delete", "n_clicks") ],
prevent_initial_call = True
)
def logDelete(clicks):
logpath = "/tmp/anisotropy/anisotropy.log"
logpath = os.path.join(os.environ["ANISOTROPY_CWD"], "anisotropy.log")
if os.path.exists(logpath):
os.remove(logpath)

View File

@ -67,7 +67,7 @@ class Mesh(object):
self.mesh.Export(filename, "Neutral Format")
else:
raise NotImplementedError(f"{ ext } is not supported")
raise NotImplementedError(f"Mesh format '{ ext }' is not supported")
except NotImplementedError as e:
err = e

View File

@ -55,7 +55,7 @@ class Shape(object):
self.shape = OCCGeometry(filename).shape
else:
raise NotImplementedError(f"{ext} is not supported")
raise NotImplementedError(f"Shape format '{ext}' is not supported")
def normal(self, face: FACE) -> numpy.array:
"""

582
poetry.lock generated
View File

@ -24,17 +24,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "attrs"
version = "21.2.0"
version = "21.4.0"
description = "Classes Without Boilerplate"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[package.extras]
dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"]
docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"]
tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"]
[[package]]
name = "babel"
@ -47,6 +47,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[package.dependencies]
pytz = ">=2015.7"
[[package]]
name = "brotli"
version = "1.0.9"
description = "Python bindings for the Brotli compression library"
category = "main"
optional = true
python-versions = "*"
[[package]]
name = "certifi"
version = "2021.10.8"
@ -57,7 +65,7 @@ python-versions = "*"
[[package]]
name = "charset-normalizer"
version = "2.0.7"
version = "2.0.10"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "dev"
optional = true
@ -107,6 +115,64 @@ category = "main"
optional = false
python-versions = ">=3.6"
[[package]]
name = "dash"
version = "2.0.0"
description = "A Python framework for building reactive web-apps. Developed by Plotly."
category = "main"
optional = true
python-versions = ">=3.6"
[package.dependencies]
dash-core-components = "2.0.0"
dash-html-components = "2.0.0"
dash-table = "5.0.0"
Flask = ">=1.0.4"
flask-compress = "*"
plotly = ">=5.0.0"
[package.extras]
dev = ["dash-flow-example (==0.0.5)", "dash-dangerously-set-inner-html", "mock (==4.0.3)", "flake8 (==3.9.2)", "PyYAML (==5.4.1)", "pylint (==2.10.2)", "black (==21.6b0)", "fire (==0.4.0)", "coloredlogs (==15.0.1)", "flask-talisman (==0.8.1)", "isort (==4.3.21)", "orjson (==3.3.1)", "orjson (==3.6.1)"]
testing = ["pytest (>=6.0.2)", "pytest-sugar (>=0.9.4)", "pytest-mock (>=3.2.0)", "lxml (>=4.6.2)", "selenium (>=3.141.0)", "percy (>=2.0.2)", "requests[security] (>=2.21.0)", "beautifulsoup4 (>=4.8.2)", "waitress (>=1.4.4)", "diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "redis (>=3.5.3)", "psutil (>=5.8.0)", "celery[redis] (>=5.1.2)", "flaky (>=3.7.0)", "cryptography (<3.4)"]
[[package]]
name = "dash-bootstrap-components"
version = "1.0.2"
description = "Bootstrap themed components for use in Plotly Dash"
category = "main"
optional = true
python-versions = ">=3.6, <4"
[package.dependencies]
dash = ">=2.0.0"
[package.extras]
pandas = ["numpy", "pandas"]
[[package]]
name = "dash-core-components"
version = "2.0.0"
description = "Core component suite for Dash"
category = "main"
optional = true
python-versions = "*"
[[package]]
name = "dash-html-components"
version = "2.0.0"
description = "Vanilla HTML components for Dash"
category = "main"
optional = true
python-versions = "*"
[[package]]
name = "dash-table"
version = "5.0.0"
description = "Dash table"
category = "main"
optional = true
python-versions = "*"
[[package]]
name = "dill"
version = "0.3.4"
@ -147,9 +213,40 @@ mccabe = ">=0.6.0,<0.7.0"
pycodestyle = ">=2.8.0,<2.9.0"
pyflakes = ">=2.4.0,<2.5.0"
[[package]]
name = "flask"
version = "1.1.2"
description = "A simple framework for building complex web applications."
category = "main"
optional = true
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
[package.dependencies]
click = ">=5.1"
itsdangerous = ">=0.24"
Jinja2 = ">=2.10.1"
Werkzeug = ">=0.15"
[package.extras]
dev = ["pytest", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinxcontrib-log-cabinet", "sphinx-issues"]
docs = ["sphinx", "pallets-sphinx-themes", "sphinxcontrib-log-cabinet", "sphinx-issues"]
dotenv = ["python-dotenv"]
[[package]]
name = "flask-compress"
version = "1.10.1"
description = "Compress responses in your Flask app with gzip, deflate or brotli."
category = "main"
optional = true
python-versions = "*"
[package.dependencies]
brotli = "*"
flask = "*"
[[package]]
name = "fonttools"
version = "4.28.1"
version = "4.28.5"
description = "Tools to manipulate font files"
category = "main"
optional = false
@ -205,11 +302,19 @@ category = "dev"
optional = false
python-versions = "*"
[[package]]
name = "itsdangerous"
version = "2.0.1"
description = "Safely pass data to untrusted environments and back."
category = "main"
optional = true
python-versions = ">=3.6"
[[package]]
name = "jinja2"
version = "2.11.3"
description = "A very fast and expressive template engine."
category = "dev"
category = "main"
optional = true
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
@ -231,13 +336,13 @@ python-versions = ">=3.7"
name = "markupsafe"
version = "2.0.1"
description = "Safely add untrusted strings to HTML/XML markup."
category = "dev"
category = "main"
optional = true
python-versions = ">=3.6"
[[package]]
name = "matplotlib"
version = "3.5.0"
version = "3.5.1"
description = "Python plotting package"
category = "main"
optional = false
@ -264,26 +369,26 @@ python-versions = "*"
[[package]]
name = "numpy"
version = "1.21.4"
version = "1.22.0"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
python-versions = ">=3.7,<3.11"
python-versions = ">=3.8"
[[package]]
name = "packaging"
version = "21.2"
version = "21.3"
description = "Core utilities for Python packages"
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
pyparsing = ">=2.0.2,<3"
pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
[[package]]
name = "pandas"
version = "1.3.4"
version = "1.3.5"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
@ -338,22 +443,35 @@ live-view = ["PySide2 (>=5.13,<6.0)"]
[[package]]
name = "pillow"
version = "8.4.0"
version = "9.0.0"
description = "Python Imaging Library (Fork)"
category = "main"
optional = false
python-versions = ">=3.7"
[[package]]
name = "plotly"
version = "5.5.0"
description = "An open-source, interactive data visualization library for Python"
category = "main"
optional = true
python-versions = ">=3.6"
[package.dependencies]
six = "*"
tenacity = ">=6.2.0"
[[package]]
name = "pluggy"
version = "0.13.1"
version = "1.0.0"
description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
python-versions = ">=3.6"
[package.extras]
dev = ["pre-commit", "tox"]
testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "psutil"
@ -414,7 +532,7 @@ numpy = "*"
[[package]]
name = "pygments"
version = "2.10.0"
version = "2.11.2"
description = "Pygments is a syntax highlighting package written in Python."
category = "dev"
optional = true
@ -422,11 +540,14 @@ python-versions = ">=3.5"
[[package]]
name = "pyparsing"
version = "2.4.7"
version = "3.0.6"
description = "Python parsing module"
category = "main"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
python-versions = ">=3.6"
[package.extras]
diagrams = ["jinja2", "railroad-diagrams"]
[[package]]
name = "pytest"
@ -516,7 +637,7 @@ python-versions = ">=3.6"
[[package]]
name = "requests"
version = "2.26.0"
version = "2.27.1"
description = "Python HTTP for Humans."
category = "dev"
optional = true
@ -565,7 +686,7 @@ python-versions = "*"
[[package]]
name = "sphinx"
version = "4.3.0"
version = "4.3.2"
description = "Python documentation generator"
category = "dev"
optional = true
@ -591,7 +712,7 @@ sphinxcontrib-serializinghtml = ">=1.1.5"
[package.extras]
docs = ["sphinxcontrib-websupport"]
lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.900)", "docutils-stubs", "types-typed-ast", "types-pkg-resources", "types-requests"]
lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.920)", "docutils-stubs", "types-typed-ast", "types-pkg-resources", "types-requests"]
test = ["pytest", "pytest-cov", "html5lib", "cython", "typed-ast"]
[[package]]
@ -691,6 +812,17 @@ python-versions = "*"
[package.extras]
develop = ["sphinx"]
[[package]]
name = "tenacity"
version = "8.0.1"
description = "Retry code until it succeeds"
category = "main"
optional = true
python-versions = ">=3.6"
[package.extras]
doc = ["reno", "sphinx", "tornado (>=4.5)"]
[[package]]
name = "toml"
version = "0.10.2"
@ -701,15 +833,15 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
[[package]]
name = "tomli"
version = "1.2.2"
version = "2.0.0"
description = "A lil' TOML parser"
category = "main"
optional = false
python-versions = ">=3.6"
python-versions = ">=3.7"
[[package]]
name = "urllib3"
version = "1.26.7"
version = "1.26.8"
description = "HTTP library with thread-safe connection pooling, file post, and more."
category = "dev"
optional = true
@ -744,15 +876,26 @@ argh = ">=0.24.1"
pathtools = ">=0.1.1"
PyYAML = ">=3.10"
[[package]]
name = "werkzeug"
version = "2.0.2"
description = "The comprehensive WSGI web application library."
category = "main"
optional = true
python-versions = ">=3.6"
[package.extras]
watchdog = ["watchdog"]
[extras]
analyze = []
doc = []
gui = []
gui = ["dash", "dash-bootstrap-components"]
[metadata]
lock-version = "1.1"
python-versions = ">=3.9,<3.11"
content-hash = "700a4aa9c7be83a1f2279035f74714daef385aa287d25a3d7bcd3c12d09cfa6a"
content-hash = "256be009440b09b5c2da236de29cc85c97a48b352921d60dc766df68b359bd16"
[metadata.files]
alabaster = [
@ -768,20 +911,69 @@ atomicwrites = [
{file = "atomicwrites-1.4.0.tar.gz", hash = "sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a"},
]
attrs = [
{file = "attrs-21.2.0-py2.py3-none-any.whl", hash = "sha256:149e90d6d8ac20db7a955ad60cf0e6881a3f20d37096140088356da6c716b0b1"},
{file = "attrs-21.2.0.tar.gz", hash = "sha256:ef6aaac3ca6cd92904cdd0d83f629a15f18053ec84e6432106f7a4d04ae4f5fb"},
{file = "attrs-21.4.0-py2.py3-none-any.whl", hash = "sha256:2d27e3784d7a565d36ab851fe94887c5eccd6a463168875832a1be79c82828b4"},
{file = "attrs-21.4.0.tar.gz", hash = "sha256:626ba8234211db98e869df76230a137c4c40a12d72445c45d5f5b716f076e2fd"},
]
babel = [
{file = "Babel-2.9.1-py2.py3-none-any.whl", hash = "sha256:ab49e12b91d937cd11f0b67cb259a57ab4ad2b59ac7a3b41d6c06c0ac5b0def9"},
{file = "Babel-2.9.1.tar.gz", hash = "sha256:bc0c176f9f6a994582230df350aa6e05ba2ebe4b3ac317eab29d9be5d2768da0"},
]
brotli = [
{file = "Brotli-1.0.9-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:268fe94547ba25b58ebc724680609c8ee3e5a843202e9a381f6f9c5e8bdb5c70"},
{file = "Brotli-1.0.9-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:c2415d9d082152460f2bd4e382a1e85aed233abc92db5a3880da2257dc7daf7b"},
{file = "Brotli-1.0.9-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5913a1177fc36e30fcf6dc868ce23b0453952c78c04c266d3149b3d39e1410d6"},
{file = "Brotli-1.0.9-cp27-cp27m-win32.whl", hash = "sha256:afde17ae04d90fbe53afb628f7f2d4ca022797aa093e809de5c3cf276f61bbfa"},
{file = "Brotli-1.0.9-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:7cb81373984cc0e4682f31bc3d6be9026006d96eecd07ea49aafb06897746452"},
{file = "Brotli-1.0.9-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:db844eb158a87ccab83e868a762ea8024ae27337fc7ddcbfcddd157f841fdfe7"},
{file = "Brotli-1.0.9-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:9744a863b489c79a73aba014df554b0e7a0fc44ef3f8a0ef2a52919c7d155031"},
{file = "Brotli-1.0.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a72661af47119a80d82fa583b554095308d6a4c356b2a554fdc2799bc19f2a43"},
{file = "Brotli-1.0.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ee83d3e3a024a9618e5be64648d6d11c37047ac48adff25f12fa4226cf23d1c"},
{file = "Brotli-1.0.9-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:19598ecddd8a212aedb1ffa15763dd52a388518c4550e615aed88dc3753c0f0c"},
{file = "Brotli-1.0.9-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:44bb8ff420c1d19d91d79d8c3574b8954288bdff0273bf788954064d260d7ab0"},
{file = "Brotli-1.0.9-cp310-cp310-win32.whl", hash = "sha256:26d168aac4aaec9a4394221240e8a5436b5634adc3cd1cdf637f6645cecbf181"},
{file = "Brotli-1.0.9-cp310-cp310-win_amd64.whl", hash = "sha256:622a231b08899c864eb87e85f81c75e7b9ce05b001e59bbfbf43d4a71f5f32b2"},
{file = "Brotli-1.0.9-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:c83aa123d56f2e060644427a882a36b3c12db93727ad7a7b9efd7d7f3e9cc2c4"},
{file = "Brotli-1.0.9-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:6b2ae9f5f67f89aade1fab0f7fd8f2832501311c363a21579d02defa844d9296"},
{file = "Brotli-1.0.9-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:68715970f16b6e92c574c30747c95cf8cf62804569647386ff032195dc89a430"},
{file = "Brotli-1.0.9-cp35-cp35m-win32.whl", hash = "sha256:defed7ea5f218a9f2336301e6fd379f55c655bea65ba2476346340a0ce6f74a1"},
{file = "Brotli-1.0.9-cp35-cp35m-win_amd64.whl", hash = "sha256:88c63a1b55f352b02c6ffd24b15ead9fc0e8bf781dbe070213039324922a2eea"},
{file = "Brotli-1.0.9-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:503fa6af7da9f4b5780bb7e4cbe0c639b010f12be85d02c99452825dd0feef3f"},
{file = "Brotli-1.0.9-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:40d15c79f42e0a2c72892bf407979febd9cf91f36f495ffb333d1d04cebb34e4"},
{file = "Brotli-1.0.9-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:93130612b837103e15ac3f9cbacb4613f9e348b58b3aad53721d92e57f96d46a"},
{file = "Brotli-1.0.9-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87fdccbb6bb589095f413b1e05734ba492c962b4a45a13ff3408fa44ffe6479b"},
{file = "Brotli-1.0.9-cp36-cp36m-win32.whl", hash = "sha256:61a7ee1f13ab913897dac7da44a73c6d44d48a4adff42a5701e3239791c96e14"},
{file = "Brotli-1.0.9-cp36-cp36m-win_amd64.whl", hash = "sha256:1c48472a6ba3b113452355b9af0a60da5c2ae60477f8feda8346f8fd48e3e87c"},
{file = "Brotli-1.0.9-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3b78a24b5fd13c03ee2b7b86290ed20efdc95da75a3557cc06811764d5ad1126"},
{file = "Brotli-1.0.9-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:9d12cf2851759b8de8ca5fde36a59c08210a97ffca0eb94c532ce7b17c6a3d1d"},
{file = "Brotli-1.0.9-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:6c772d6c0a79ac0f414a9f8947cc407e119b8598de7621f39cacadae3cf57d12"},
{file = "Brotli-1.0.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:29d1d350178e5225397e28ea1b7aca3648fcbab546d20e7475805437bfb0a130"},
{file = "Brotli-1.0.9-cp37-cp37m-win32.whl", hash = "sha256:f909bbbc433048b499cb9db9e713b5d8d949e8c109a2a548502fb9aa8630f0b1"},
{file = "Brotli-1.0.9-cp37-cp37m-win_amd64.whl", hash = "sha256:97f715cf371b16ac88b8c19da00029804e20e25f30d80203417255d239f228b5"},
{file = "Brotli-1.0.9-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:e16eb9541f3dd1a3e92b89005e37b1257b157b7256df0e36bd7b33b50be73bcb"},
{file = "Brotli-1.0.9-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:160c78292e98d21e73a4cc7f76a234390e516afcd982fa17e1422f7c6a9ce9c8"},
{file = "Brotli-1.0.9-cp38-cp38-manylinux1_i686.whl", hash = "sha256:b663f1e02de5d0573610756398e44c130add0eb9a3fc912a09665332942a2efb"},
{file = "Brotli-1.0.9-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:5b6ef7d9f9c38292df3690fe3e302b5b530999fa90014853dcd0d6902fb59f26"},
{file = "Brotli-1.0.9-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a674ac10e0a87b683f4fa2b6fa41090edfd686a6524bd8dedbd6138b309175c"},
{file = "Brotli-1.0.9-cp38-cp38-win32.whl", hash = "sha256:35a3edbe18e876e596553c4007a087f8bcfd538f19bc116917b3c7522fca0429"},
{file = "Brotli-1.0.9-cp38-cp38-win_amd64.whl", hash = "sha256:269a5743a393c65db46a7bb982644c67ecba4b8d91b392403ad8a861ba6f495f"},
{file = "Brotli-1.0.9-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2aad0e0baa04517741c9bb5b07586c642302e5fb3e75319cb62087bd0995ab19"},
{file = "Brotli-1.0.9-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5cb1e18167792d7d21e21365d7650b72d5081ed476123ff7b8cac7f45189c0c7"},
{file = "Brotli-1.0.9-cp39-cp39-manylinux1_i686.whl", hash = "sha256:16d528a45c2e1909c2798f27f7bf0a3feec1dc9e50948e738b961618e38b6a7b"},
{file = "Brotli-1.0.9-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:56d027eace784738457437df7331965473f2c0da2c70e1a1f6fdbae5402e0389"},
{file = "Brotli-1.0.9-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9bf919756d25e4114ace16a8ce91eb340eb57a08e2c6950c3cebcbe3dff2a5e7"},
{file = "Brotli-1.0.9-cp39-cp39-win32.whl", hash = "sha256:cfc391f4429ee0a9370aa93d812a52e1fee0f37a81861f4fdd1f4fb28e8547c3"},
{file = "Brotli-1.0.9-cp39-cp39-win_amd64.whl", hash = "sha256:854c33dad5ba0fbd6ab69185fec8dab89e13cda6b7d191ba111987df74f38761"},
{file = "Brotli-1.0.9-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9749a124280a0ada4187a6cfd1ffd35c350fb3af79c706589d98e088c5044267"},
{file = "Brotli-1.0.9-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:76ffebb907bec09ff511bb3acc077695e2c32bc2142819491579a695f77ffd4d"},
{file = "Brotli-1.0.9.zip", hash = "sha256:4d1b810aa0ed773f81dceda2cc7b403d01057458730e309856356d4ef4188438"},
]
certifi = [
{file = "certifi-2021.10.8-py2.py3-none-any.whl", hash = "sha256:d62a0163eb4c2344ac042ab2bdf75399a71a2d8c7d47eac2e2ee91b9d6339569"},
{file = "certifi-2021.10.8.tar.gz", hash = "sha256:78884e7c1d4b00ce3cea67b44566851c4343c120abd683433ce934a68ea58872"},
]
charset-normalizer = [
{file = "charset-normalizer-2.0.7.tar.gz", hash = "sha256:e019de665e2bcf9c2b64e2e5aa025fa991da8720daa3c1138cadd2fd1856aed0"},
{file = "charset_normalizer-2.0.7-py3-none-any.whl", hash = "sha256:f7af805c321bfa1ce6714c51f254e0d5bb5e5834039bc17db7ebe3a4cec9492b"},
{file = "charset-normalizer-2.0.10.tar.gz", hash = "sha256:876d180e9d7432c5d1dfd4c5d26b72f099d503e8fcc0feb7532c9289be60fcbd"},
{file = "charset_normalizer-2.0.10-py3-none-any.whl", hash = "sha256:cb957888737fc0bbcd78e3df769addb41fd1ff8cf950dc9e7ad7793f1bf44455"},
]
click = [
{file = "click-8.0.3-py3-none-any.whl", hash = "sha256:353f466495adaeb40b6b5f592f9f91cb22372351c84caeb068132442a4518ef3"},
@ -844,6 +1036,23 @@ cycler = [
{file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
{file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
]
dash = [
{file = "dash-2.0.0-py3-none-any.whl", hash = "sha256:23f331533663641a5c70a15c46da26d29ef5335f9aeb8bc03d09de865fc7cd62"},
{file = "dash-2.0.0.tar.gz", hash = "sha256:29277c24e2f795b069cb102ce1ab0cd3ad5cf9d3b4fd16c03da9671a5eea28a4"},
]
dash-bootstrap-components = [
{file = "dash-bootstrap-components-1.0.2.tar.gz", hash = "sha256:d385fa959159cdfd11885a753341fba67bad8622c84e5f61585930953f55f54f"},
{file = "dash_bootstrap_components-1.0.2-py3-none-any.whl", hash = "sha256:4b862c6b2f6667da686fd2015a0b12a286920df8cce7dd6719fb1469025f6c68"},
]
dash-core-components = [
{file = "dash_core_components-2.0.0.tar.gz", hash = "sha256:c6733874af975e552f95a1398a16c2ee7df14ce43fa60bb3718a3c6e0b63ffee"},
]
dash-html-components = [
{file = "dash_html_components-2.0.0.tar.gz", hash = "sha256:8703a601080f02619a6390998e0b3da4a5daabe97a1fd7a9cebc09d015f26e50"},
]
dash-table = [
{file = "dash_table-5.0.0.tar.gz", hash = "sha256:18624d693d4c8ef2ddec99a6f167593437a7ea0bf153aa20f318c170c5bc7308"},
]
dill = [
{file = "dill-0.3.4-py2.py3-none-any.whl", hash = "sha256:7e40e4a70304fd9ceab3535d36e58791d9c4a776b38ec7f7ec9afc8d3dca4d4f"},
{file = "dill-0.3.4.zip", hash = "sha256:9f9734205146b2b353ab3fec9af0070237b6ddae78452af83d2fca84d739e675"},
@ -859,9 +1068,17 @@ flake8 = [
{file = "flake8-4.0.1-py2.py3-none-any.whl", hash = "sha256:479b1304f72536a55948cb40a32dce8bb0ffe3501e26eaf292c7e60eb5e0428d"},
{file = "flake8-4.0.1.tar.gz", hash = "sha256:806e034dda44114815e23c16ef92f95c91e4c71100ff52813adf7132a6ad870d"},
]
flask = [
{file = "Flask-1.1.2-py2.py3-none-any.whl", hash = "sha256:8a4fdd8936eba2512e9c85df320a37e694c93945b33ef33c89946a340a238557"},
{file = "Flask-1.1.2.tar.gz", hash = "sha256:4efa1ae2d7c9865af48986de8aeb8504bf32c7f3d6fdc9353d34b21f4b127060"},
]
flask-compress = [
{file = "Flask-Compress-1.10.1.tar.gz", hash = "sha256:28352387efbbe772cfb307570019f81957a13ff718d994a9125fa705efb73680"},
{file = "Flask_Compress-1.10.1-py3-none-any.whl", hash = "sha256:a6c2d1ff51771e9b39d7a612754f4cb4e8af20cebe16b02fd19d98d8dd6966e5"},
]
fonttools = [
{file = "fonttools-4.28.1-py3-none-any.whl", hash = "sha256:68071406009e7ef6a5fdcd85d95975cd6963867bb226f2b786bfffe15d1959ef"},
{file = "fonttools-4.28.1.zip", hash = "sha256:8c8f84131bf04f3b1dcf99b9763cec35c347164ab6ad006e18d2f99fcab05529"},
{file = "fonttools-4.28.5-py3-none-any.whl", hash = "sha256:edf251d5d2cc0580d5f72de4621c338d8c66c5f61abb50cf486640f73c8194d5"},
{file = "fonttools-4.28.5.zip", hash = "sha256:545c05d0f7903a863c2020e07b8f0a57517f2c40d940bded77076397872d14ca"},
]
graphviz = [
{file = "graphviz-0.13.2-py2.py3-none-any.whl", hash = "sha256:241fb099e32b8e8c2acca747211c8237e40c0b89f24b1622860075d59f4c4b25"},
@ -879,6 +1096,10 @@ iniconfig = [
{file = "iniconfig-1.1.1-py2.py3-none-any.whl", hash = "sha256:011e24c64b7f47f6ebd835bb12a743f2fbe9a26d4cecaa7f53bc4f35ee9da8b3"},
{file = "iniconfig-1.1.1.tar.gz", hash = "sha256:bc3af051d7d14b2ee5ef9969666def0cd1a000e121eaea580d4a313df4b37f32"},
]
itsdangerous = [
{file = "itsdangerous-2.0.1-py3-none-any.whl", hash = "sha256:5174094b9637652bdb841a3029700391451bd092ba3db90600dea710ba28e97c"},
{file = "itsdangerous-2.0.1.tar.gz", hash = "sha256:9e724d68fc22902a1435351f84c3fb8623f303fffcc566a4cb952df8c572cff0"},
]
jinja2 = [
{file = "Jinja2-2.11.3-py2.py3-none-any.whl", hash = "sha256:03e47ad063331dd6a3f04a43eddca8a966a26ba0c5b7207a9a9e4e08f1b29419"},
{file = "Jinja2-2.11.3.tar.gz", hash = "sha256:a6d58433de0ae800347cab1fa3043cebbabe8baa9d29e668f1c768cb87a333c6"},
@ -1001,107 +1222,100 @@ markupsafe = [
{file = "MarkupSafe-2.0.1.tar.gz", hash = "sha256:594c67807fb16238b30c44bdf74f36c02cdf22d1c8cda91ef8a0ed8dabf5620a"},
]
matplotlib = [
{file = "matplotlib-3.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4b018ea6f26424a0852eb60eb406420d9f0d34f65736ea7bbfbb104946a66d86"},
{file = "matplotlib-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a07ff2565da72a7b384a9e000b15b6b8270d81370af8a3531a16f6fbcee023cc"},
{file = "matplotlib-3.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2eea16883aa7724c95eea0eb473ab585c6cf66f0e28f7f13e63deb38f4fd6d0f"},
{file = "matplotlib-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0e020a42f3338823a393dd2f80e39a2c07b9f941dfe2c778eb104eeb33d60bb5"},
{file = "matplotlib-3.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9bac8eb1eccef540d7f4e844b6313d9f7722efd48c07e1b4bfec1056132127fd"},
{file = "matplotlib-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a7cb59ebd63a8ac4542ec1c61dd08724f82ec3aa7bb6b4b9e212d43c611ce3d"},
{file = "matplotlib-3.5.0-cp310-cp310-win32.whl", hash = "sha256:6e0e6b2111165522ad336705499b1f968c34a9e84d05d498ee5af0b5697d1efe"},
{file = "matplotlib-3.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:ff5d9fe518ad2de14ce82ab906b6ab5c2b0c7f4f984400ff8a7a905daa580a0a"},
{file = "matplotlib-3.5.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:66b172610db0ececebebb09d146f54205f87c7b841454e408fba854764f91bdd"},
{file = "matplotlib-3.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee3d9ff16d749a9aa521bd7d86f0dbf256b2d2ac8ce31b19e4d2c86d2f2ff0b6"},
{file = "matplotlib-3.5.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:970aa97297537540369d05fe0fd1bb952593f9ab696c9b427c06990a83e2418b"},
{file = "matplotlib-3.5.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:153a0cf6a6ff4f406a0600d2034710c49988bacc6313d193b32716f98a697580"},
{file = "matplotlib-3.5.0-cp37-cp37m-win32.whl", hash = "sha256:6db02c5605f063b67780f4d5753476b6a4944343284aa4e93c5e8ff6e9ec7f76"},
{file = "matplotlib-3.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:df0042cab69f4d246f4cb8fc297770ac4ae6ec2983f61836b04a117722037dcd"},
{file = "matplotlib-3.5.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:a7bf8b05c214d32fb7ca7c001fde70b9b426378e897b0adbf77b85ea3569d56a"},
{file = "matplotlib-3.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0abf8b51cc6d3ba34d1b15b26e329f23879848a0cf1216954c1f432ffc7e1af7"},
{file = "matplotlib-3.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:13930a0c9bec0fd25f43c448b047a21af1353328b946f044a8fc3be077c6b1a8"},
{file = "matplotlib-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:18f6e52386300db5cc4d1e9019ad9da2e80658bab018834d963ebb0aa5355095"},
{file = "matplotlib-3.5.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ba107add08e12600b072cf3c47aaa1ab85dd4d3c48107a5d3377d1bf80f8b235"},
{file = "matplotlib-3.5.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2089b9014792dcc87bb1d620cde847913338abf7d957ef05587382b0cb76d44e"},
{file = "matplotlib-3.5.0-cp38-cp38-win32.whl", hash = "sha256:f23fbf70d2e80f4e03a83fc1206a8306d9bc50482fee4239f10676ce7e470c83"},
{file = "matplotlib-3.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:71a1851111f23f82fc43d2b6b2bfdd3f760579a664ebc939576fe21cc6133d01"},
{file = "matplotlib-3.5.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d092b7ba63182d2dd427904e3eb58dd5c46ec67c5968de14a4b5007010a3a4cc"},
{file = "matplotlib-3.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ac17a7e7b06ee426a4989f0b7f24ab1a592e39cdf56353a90f4e998bc0bf44d6"},
{file = "matplotlib-3.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a5b62d1805cc83d755972033c05cea78a1e177a159fc84da5c9c4ab6303ccbd9"},
{file = "matplotlib-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:666d717a4798eb9c5d3ae83fe80c7bc6ed696b93e879cb01cb24a74155c73612"},
{file = "matplotlib-3.5.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:65f877882b7ddede7090c7d87be27a0f4720fe7fc6fddd4409c06e1aa0f1ae8d"},
{file = "matplotlib-3.5.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7baf23adb698d8c6ca7339c9dde00931bc47b2dd82fa912827fef9f93db77f5e"},
{file = "matplotlib-3.5.0-cp39-cp39-win32.whl", hash = "sha256:b3b687e905da32e5f2e5f16efa713f5d1fcd9fb8b8c697895de35c91fedeb086"},
{file = "matplotlib-3.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:a6cef5b31e27c31253c0f852b629a38d550ae66ec6850129c49d872f9ee428cb"},
{file = "matplotlib-3.5.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a0dcaf5648cecddc328e81a0421821a1f65a1d517b20746c94a1f0f5c36fb51a"},
{file = "matplotlib-3.5.0-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b5e439d9e55d645f2a4dca63e2f66d68fe974c405053b132d61c7e98c25dfeb2"},
{file = "matplotlib-3.5.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dc8c5c23e7056e126275dbf29efba817b3d94196690930d0968873ac3a94ab82"},
{file = "matplotlib-3.5.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:a0ea10faa3bab0714d3a19c7e0921279a68d57552414d6eceaea99f97d7735db"},
{file = "matplotlib-3.5.0.tar.gz", hash = "sha256:38892a254420d95594285077276162a5e9e9c30b6da08bdc2a4d53331ad9a6fa"},
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:456cc8334f6d1124e8ff856b42d2cc1c84335375a16448189999496549f7182b"},
{file = "matplotlib-3.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8a77906dc2ef9b67407cec0bdbf08e3971141e535db888974a915be5e1e3efc6"},
{file = "matplotlib-3.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e70ae6475cfd0fad3816dcbf6cac536dc6f100f7474be58d59fa306e6e768a4"},
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:53273c5487d1c19c3bc03b9eb82adaf8456f243b97ed79d09dded747abaf1235"},
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3b6f3fd0d8ca37861c31e9a7cab71a0ef14c639b4c95654ea1dd153158bf0df"},
{file = "matplotlib-3.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8c87cdaf06fd7b2477f68909838ff4176f105064a72ca9d24d3f2a29f73d393"},
{file = "matplotlib-3.5.1-cp310-cp310-win32.whl", hash = "sha256:e2f28a07b4f82abb40267864ad7b3a4ed76f1b1663e81c7efc84a9b9248f672f"},
{file = "matplotlib-3.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:d70a32ee1f8b55eed3fd4e892f0286df8cccc7e0475c11d33b5d0a148f5c7599"},
{file = "matplotlib-3.5.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:68fa30cec89b6139dc559ed6ef226c53fd80396da1919a1b5ef672c911aaa767"},
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e3484d8455af3fdb0424eae1789af61f6a79da0c80079125112fd5c1b604218"},
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e293b16cf303fe82995e41700d172a58a15efc5331125d08246b520843ef21ee"},
{file = "matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:e3520a274a0e054e919f5b3279ee5dbccf5311833819ccf3399dab7c83e90a25"},
{file = "matplotlib-3.5.1-cp37-cp37m-win32.whl", hash = "sha256:2252bfac85cec7af4a67e494bfccf9080bcba8a0299701eab075f48847cca907"},
{file = "matplotlib-3.5.1-cp37-cp37m-win_amd64.whl", hash = "sha256:abf67e05a1b7f86583f6ebd01f69b693b9c535276f4e943292e444855870a1b8"},
{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:6c094e4bfecd2fa7f9adffd03d8abceed7157c928c2976899de282f3600f0a3d"},
{file = "matplotlib-3.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:506b210cc6e66a0d1c2bb765d055f4f6bc2745070fb1129203b67e85bbfa5c18"},
{file = "matplotlib-3.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b04fc29bcef04d4e2d626af28d9d892be6aba94856cb46ed52bcb219ceac8943"},
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:577ed20ec9a18d6bdedb4616f5e9e957b4c08563a9f985563a31fd5b10564d2a"},
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e486f60db0cd1c8d68464d9484fd2a94011c1ac8593d765d0211f9daba2bd535"},
{file = "matplotlib-3.5.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:b71f3a7ca935fc759f2aed7cec06cfe10bc3100fadb5dbd9c435b04e557971e1"},
{file = "matplotlib-3.5.1-cp38-cp38-win32.whl", hash = "sha256:d24e5bb8028541ce25e59390122f5e48c8506b7e35587e5135efcb6471b4ac6c"},
{file = "matplotlib-3.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:778d398c4866d8e36ee3bf833779c940b5f57192fa0a549b3ad67bc4c822771b"},
{file = "matplotlib-3.5.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:bb1c613908f11bac270bc7494d68b1ef6e7c224b7a4204d5dacf3522a41e2bc3"},
{file = "matplotlib-3.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:edf5e4e1d5fb22c18820e8586fb867455de3b109c309cb4fce3aaed85d9468d1"},
{file = "matplotlib-3.5.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:40e0d7df05e8efe60397c69b467fc8f87a2affeb4d562fe92b72ff8937a2b511"},
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7a350ca685d9f594123f652ba796ee37219bf72c8e0fc4b471473d87121d6d34"},
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3e66497cd990b1a130e21919b004da2f1dc112132c01ac78011a90a0f9229778"},
{file = "matplotlib-3.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:87900c67c0f1728e6db17c6809ec05c025c6624dcf96a8020326ea15378fe8e7"},
{file = "matplotlib-3.5.1-cp39-cp39-win32.whl", hash = "sha256:b8a4fb2a0c5afbe9604f8a91d7d0f27b1832c3e0b5e365f95a13015822b4cd65"},
{file = "matplotlib-3.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:fe8d40c434a8e2c68d64c6d6a04e77f21791a93ff6afe0dce169597c110d3079"},
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:34a1fc29f8f96e78ec57a5eff5e8d8b53d3298c3be6df61e7aa9efba26929522"},
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:b19a761b948e939a9e20173aaae76070025f0024fc8f7ba08bef22a5c8573afc"},
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6803299cbf4665eca14428d9e886de62e24f4223ac31ab9c5d6d5339a39782c7"},
{file = "matplotlib-3.5.1-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:14334b9902ec776461c4b8c6516e26b450f7ebe0b3ef8703bf5cdfbbaecf774a"},
{file = "matplotlib-3.5.1.tar.gz", hash = "sha256:b2e9810e09c3a47b73ce9cab5a72243a1258f61e7900969097a817232246ce1c"},
]
mccabe = [
{file = "mccabe-0.6.1-py2.py3-none-any.whl", hash = "sha256:ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42"},
{file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
]
numpy = [
{file = "numpy-1.21.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8890b3360f345e8360133bc078d2dacc2843b6ee6059b568781b15b97acbe39f"},
{file = "numpy-1.21.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:69077388c5a4b997442b843dbdc3a85b420fb693ec8e33020bb24d647c164fa5"},
{file = "numpy-1.21.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e89717274b41ebd568cd7943fc9418eeb49b1785b66031bc8a7f6300463c5898"},
{file = "numpy-1.21.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b78ecfa070460104934e2caf51694ccd00f37d5e5dbe76f021b1b0b0d221823"},
{file = "numpy-1.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:615d4e328af7204c13ae3d4df7615a13ff60a49cb0d9106fde07f541207883ca"},
{file = "numpy-1.21.4-cp310-cp310-win_amd64.whl", hash = "sha256:1403b4e2181fc72664737d848b60e65150f272fe5a1c1cbc16145ed43884065a"},
{file = "numpy-1.21.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:74b85a17528ca60cf98381a5e779fc0264b4a88b46025e6bcbe9621f46bb3e63"},
{file = "numpy-1.21.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:92aafa03da8658609f59f18722b88f0a73a249101169e28415b4fa148caf7e41"},
{file = "numpy-1.21.4-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:5d95668e727c75b3f5088ec7700e260f90ec83f488e4c0aaccb941148b2cd377"},
{file = "numpy-1.21.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5162ec777ba7138906c9c274353ece5603646c6965570d82905546579573f73"},
{file = "numpy-1.21.4-cp37-cp37m-win32.whl", hash = "sha256:81225e58ef5fce7f1d80399575576fc5febec79a8a2742e8ef86d7b03beef49f"},
{file = "numpy-1.21.4-cp37-cp37m-win_amd64.whl", hash = "sha256:32fe5b12061f6446adcbb32cf4060a14741f9c21e15aaee59a207b6ce6423469"},
{file = "numpy-1.21.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c449eb870616a7b62e097982c622d2577b3dbc800aaf8689254ec6e0197cbf1e"},
{file = "numpy-1.21.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2e4ed57f45f0aa38beca2a03b6532e70e548faf2debbeb3291cfc9b315d9be8f"},
{file = "numpy-1.21.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:1247ef28387b7bb7f21caf2dbe4767f4f4175df44d30604d42ad9bd701ebb31f"},
{file = "numpy-1.21.4-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:34f3456f530ae8b44231c63082c8899fe9c983fd9b108c997c4b1c8c2d435333"},
{file = "numpy-1.21.4-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4c9c23158b87ed0e70d9a50c67e5c0b3f75bcf2581a8e34668d4e9d7474d76c6"},
{file = "numpy-1.21.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e4799be6a2d7d3c33699a6f77201836ac975b2e1b98c2a07f66a38f499cb50ce"},
{file = "numpy-1.21.4-cp38-cp38-win32.whl", hash = "sha256:bc988afcea53e6156546e5b2885b7efab089570783d9d82caf1cfd323b0bb3dd"},
{file = "numpy-1.21.4-cp38-cp38-win_amd64.whl", hash = "sha256:170b2a0805c6891ca78c1d96ee72e4c3ed1ae0a992c75444b6ab20ff038ba2cd"},
{file = "numpy-1.21.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:fde96af889262e85aa033f8ee1d3241e32bf36228318a61f1ace579df4e8170d"},
{file = "numpy-1.21.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c885bfc07f77e8fee3dc879152ba993732601f1f11de248d4f357f0ffea6a6d4"},
{file = "numpy-1.21.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9e6f5f50d1eff2f2f752b3089a118aee1ea0da63d56c44f3865681009b0af162"},
{file = "numpy-1.21.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ad010846cdffe7ec27e3f933397f8a8d6c801a48634f419e3d075db27acf5880"},
{file = "numpy-1.21.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c74c699b122918a6c4611285cc2cad4a3aafdb135c22a16ec483340ef97d573c"},
{file = "numpy-1.21.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9864424631775b0c052f3bd98bc2712d131b3e2cd95d1c0c68b91709170890b0"},
{file = "numpy-1.21.4-cp39-cp39-win32.whl", hash = "sha256:b1e2312f5b8843a3e4e8224b2b48fe16119617b8fc0a54df8f50098721b5bed2"},
{file = "numpy-1.21.4-cp39-cp39-win_amd64.whl", hash = "sha256:e3c3e990274444031482a31280bf48674441e0a5b55ddb168f3a6db3e0c38ec8"},
{file = "numpy-1.21.4-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a3deb31bc84f2b42584b8c4001c85d1934dbfb4030827110bc36bfd11509b7bf"},
{file = "numpy-1.21.4.zip", hash = "sha256:e6c76a87633aa3fa16614b61ccedfae45b91df2767cf097aa9c933932a7ed1e0"},
{file = "numpy-1.22.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d22662b4b10112c545c91a0741f2436f8ca979ab3d69d03d19322aa970f9695"},
{file = "numpy-1.22.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:11a1f3816ea82eed4178102c56281782690ab5993251fdfd75039aad4d20385f"},
{file = "numpy-1.22.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5dc65644f75a4c2970f21394ad8bea1a844104f0fe01f278631be1c7eae27226"},
{file = "numpy-1.22.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42c16cec1c8cf2728f1d539bd55aaa9d6bb48a7de2f41eb944697293ef65a559"},
{file = "numpy-1.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a97e82c39d9856fe7d4f9b86d8a1e66eff99cf3a8b7ba48202f659703d27c46f"},
{file = "numpy-1.22.0-cp310-cp310-win_amd64.whl", hash = "sha256:e41e8951749c4b5c9a2dc5fdbc1a4eec6ab2a140fdae9b460b0f557eed870f4d"},
{file = "numpy-1.22.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:bece0a4a49e60e472a6d1f70ac6cdea00f9ab80ff01132f96bd970cdd8a9e5a9"},
{file = "numpy-1.22.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:818b9be7900e8dc23e013a92779135623476f44a0de58b40c32a15368c01d471"},
{file = "numpy-1.22.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:47ee7a839f5885bc0c63a74aabb91f6f40d7d7b639253768c4199b37aede7982"},
{file = "numpy-1.22.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a024181d7aef0004d76fb3bce2a4c9f2e67a609a9e2a6ff2571d30e9976aa383"},
{file = "numpy-1.22.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f71d57cc8645f14816ae249407d309be250ad8de93ef61d9709b45a0ddf4050c"},
{file = "numpy-1.22.0-cp38-cp38-win32.whl", hash = "sha256:283d9de87c0133ef98f93dfc09fad3fb382f2a15580de75c02b5bb36a5a159a5"},
{file = "numpy-1.22.0-cp38-cp38-win_amd64.whl", hash = "sha256:2762331de395739c91f1abb88041f94a080cb1143aeec791b3b223976228af3f"},
{file = "numpy-1.22.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:76ba7c40e80f9dc815c5e896330700fd6e20814e69da9c1267d65a4d051080f1"},
{file = "numpy-1.22.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0cfe07133fd00b27edee5e6385e333e9eeb010607e8a46e1cd673f05f8596595"},
{file = "numpy-1.22.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6ed0d073a9c54ac40c41a9c2d53fcc3d4d4ed607670b9e7b0de1ba13b4cbfe6f"},
{file = "numpy-1.22.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41388e32e40b41dd56eb37fcaa7488b2b47b0adf77c66154d6b89622c110dfe9"},
{file = "numpy-1.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b55b953a1bdb465f4dc181758570d321db4ac23005f90ffd2b434cc6609a63dd"},
{file = "numpy-1.22.0-cp39-cp39-win32.whl", hash = "sha256:5a311ee4d983c487a0ab546708edbdd759393a3dc9cd30305170149fedd23c88"},
{file = "numpy-1.22.0-cp39-cp39-win_amd64.whl", hash = "sha256:a97a954a8c2f046d3817c2bce16e3c7e9a9c2afffaf0400f5c16df5172a67c9c"},
{file = "numpy-1.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb02929b0d6bfab4c48a79bd805bd7419114606947ec8284476167415171f55b"},
{file = "numpy-1.22.0.zip", hash = "sha256:a955e4128ac36797aaffd49ab44ec74a71c11d6938df83b1285492d277db5397"},
]
packaging = [
{file = "packaging-21.2-py3-none-any.whl", hash = "sha256:14317396d1e8cdb122989b916fa2c7e9ca8e2be9e8060a6eff75b6b7b4d8a7e0"},
{file = "packaging-21.2.tar.gz", hash = "sha256:096d689d78ca690e4cd8a89568ba06d07ca097e3306a4381635073ca91479966"},
{file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
{file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
]
pandas = [
{file = "pandas-1.3.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:9707bdc1ea9639c886b4d3be6e2a45812c1ac0c2080f94c31b71c9fa35556f9b"},
{file = "pandas-1.3.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c2f44425594ae85e119459bb5abb0748d76ef01d9c08583a667e3339e134218e"},
{file = "pandas-1.3.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:372d72a3d8a5f2dbaf566a5fa5fa7f230842ac80f29a931fb4b071502cf86b9a"},
{file = "pandas-1.3.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d99d2350adb7b6c3f7f8f0e5dfb7d34ff8dd4bc0a53e62c445b7e43e163fce63"},
{file = "pandas-1.3.4-cp310-cp310-win_amd64.whl", hash = "sha256:4acc28364863127bca1029fb72228e6f473bb50c32e77155e80b410e2068eeac"},
{file = "pandas-1.3.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c2646458e1dce44df9f71a01dc65f7e8fa4307f29e5c0f2f92c97f47a5bf22f5"},
{file = "pandas-1.3.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5298a733e5bfbb761181fd4672c36d0c627320eb999c59c65156c6a90c7e1b4f"},
{file = "pandas-1.3.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22808afb8f96e2269dcc5b846decacb2f526dd0b47baebc63d913bf847317c8f"},
{file = "pandas-1.3.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b528e126c13816a4374e56b7b18bfe91f7a7f6576d1aadba5dee6a87a7f479ae"},
{file = "pandas-1.3.4-cp37-cp37m-win32.whl", hash = "sha256:fe48e4925455c964db914b958f6e7032d285848b7538a5e1b19aeb26ffaea3ec"},
{file = "pandas-1.3.4-cp37-cp37m-win_amd64.whl", hash = "sha256:eaca36a80acaacb8183930e2e5ad7f71539a66805d6204ea88736570b2876a7b"},
{file = "pandas-1.3.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:42493f8ae67918bf129869abea8204df899902287a7f5eaf596c8e54e0ac7ff4"},
{file = "pandas-1.3.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a388960f979665b447f0847626e40f99af8cf191bce9dc571d716433130cb3a7"},
{file = "pandas-1.3.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ba0aac1397e1d7b654fccf263a4798a9e84ef749866060d19e577e927d66e1b"},
{file = "pandas-1.3.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f567e972dce3bbc3a8076e0b675273b4a9e8576ac629149cf8286ee13c259ae5"},
{file = "pandas-1.3.4-cp38-cp38-win32.whl", hash = "sha256:c1aa4de4919358c5ef119f6377bc5964b3a7023c23e845d9db7d9016fa0c5b1c"},
{file = "pandas-1.3.4-cp38-cp38-win_amd64.whl", hash = "sha256:dd324f8ee05925ee85de0ea3f0d66e1362e8c80799eb4eb04927d32335a3e44a"},
{file = "pandas-1.3.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d47750cf07dee6b55d8423471be70d627314277976ff2edd1381f02d52dbadf9"},
{file = "pandas-1.3.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d1dc09c0013d8faa7474574d61b575f9af6257ab95c93dcf33a14fd8d2c1bab"},
{file = "pandas-1.3.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10e10a2527db79af6e830c3d5842a4d60383b162885270f8cffc15abca4ba4a9"},
{file = "pandas-1.3.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:35c77609acd2e4d517da41bae0c11c70d31c87aae8dd1aabd2670906c6d2c143"},
{file = "pandas-1.3.4-cp39-cp39-win32.whl", hash = "sha256:003ba92db58b71a5f8add604a17a059f3068ef4e8c0c365b088468d0d64935fd"},
{file = "pandas-1.3.4-cp39-cp39-win_amd64.whl", hash = "sha256:a51528192755f7429c5bcc9e80832c517340317c861318fea9cea081b57c9afd"},
{file = "pandas-1.3.4.tar.gz", hash = "sha256:a2aa18d3f0b7d538e21932f637fbfe8518d085238b429e4790a35e1e44a96ffc"},
{file = "pandas-1.3.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:62d5b5ce965bae78f12c1c0df0d387899dd4211ec0bdc52822373f13a3a022b9"},
{file = "pandas-1.3.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:adfeb11be2d54f275142c8ba9bf67acee771b7186a5745249c7d5a06c670136b"},
{file = "pandas-1.3.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:60a8c055d58873ad81cae290d974d13dd479b82cbb975c3e1fa2cf1920715296"},
{file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd541ab09e1f80a2a1760032d665f6e032d8e44055d602d65eeea6e6e85498cb"},
{file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2651d75b9a167cc8cc572cf787ab512d16e316ae00ba81874b560586fa1325e0"},
{file = "pandas-1.3.5-cp310-cp310-win_amd64.whl", hash = "sha256:aaf183a615ad790801fa3cf2fa450e5b6d23a54684fe386f7e3208f8b9bfbef6"},
{file = "pandas-1.3.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:344295811e67f8200de2390093aeb3c8309f5648951b684d8db7eee7d1c81fb7"},
{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:552020bf83b7f9033b57cbae65589c01e7ef1544416122da0c79140c93288f56"},
{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cce0c6bbeb266b0e39e35176ee615ce3585233092f685b6a82362523e59e5b4"},
{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d28a3c65463fd0d0ba8bbb7696b23073efee0510783340a44b08f5e96ffce0c"},
{file = "pandas-1.3.5-cp37-cp37m-win32.whl", hash = "sha256:a62949c626dd0ef7de11de34b44c6475db76995c2064e2d99c6498c3dba7fe58"},
{file = "pandas-1.3.5-cp37-cp37m-win_amd64.whl", hash = "sha256:8025750767e138320b15ca16d70d5cdc1886e8f9cc56652d89735c016cd8aea6"},
{file = "pandas-1.3.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:fe95bae4e2d579812865db2212bb733144e34d0c6785c0685329e5b60fcb85dd"},
{file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f261553a1e9c65b7a310302b9dbac31cf0049a51695c14ebe04e4bfd4a96f02"},
{file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b6dbec5f3e6d5dc80dcfee250e0a2a652b3f28663492f7dab9a24416a48ac39"},
{file = "pandas-1.3.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3bc49af96cd6285030a64779de5b3688633a07eb75c124b0747134a63f4c05f"},
{file = "pandas-1.3.5-cp38-cp38-win32.whl", hash = "sha256:b6b87b2fb39e6383ca28e2829cddef1d9fc9e27e55ad91ca9c435572cdba51bf"},
{file = "pandas-1.3.5-cp38-cp38-win_amd64.whl", hash = "sha256:a395692046fd8ce1edb4c6295c35184ae0c2bbe787ecbe384251da609e27edcb"},
{file = "pandas-1.3.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bd971a3f08b745a75a86c00b97f3007c2ea175951286cdda6abe543e687e5f2f"},
{file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37f06b59e5bc05711a518aa10beaec10942188dccb48918bb5ae602ccbc9f1a0"},
{file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c21778a688d3712d35710501f8001cdbf96eb70a7c587a3d5613573299fdca6"},
{file = "pandas-1.3.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3345343206546545bc26a05b4602b6a24385b5ec7c75cb6059599e3d56831da2"},
{file = "pandas-1.3.5-cp39-cp39-win32.whl", hash = "sha256:c69406a2808ba6cf580c2255bcf260b3f214d2664a3a4197d0e640f573b46fd3"},
{file = "pandas-1.3.5-cp39-cp39-win_amd64.whl", hash = "sha256:32e1a26d5ade11b547721a72f9bfc4bd113396947606e00d5b4a5b79b3dcb006"},
{file = "pandas-1.3.5.tar.gz", hash = "sha256:1e4285f5de1012de20ca46b188ccf33521bff61ba5c5ebd78b4fb28e5416a9f1"},
]
pathtools = [
{file = "pathtools-0.1.2.tar.gz", hash = "sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0"},
@ -1114,51 +1328,46 @@ peewee-erd = [
{file = "peewee_erd-0.1.3-py3-none-any.whl", hash = "sha256:0d1a50b660cbdeba9f76f2f48871de5756e017b4d8d34882667f3400fba81109"},
]
pillow = [
{file = "Pillow-8.4.0-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:81f8d5c81e483a9442d72d182e1fb6dcb9723f289a57e8030811bac9ea3fef8d"},
{file = "Pillow-8.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3f97cfb1e5a392d75dd8b9fd274d205404729923840ca94ca45a0af57e13dbe6"},
{file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb9fc393f3c61f9054e1ed26e6fe912c7321af2f41ff49d3f83d05bacf22cc78"},
{file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d82cdb63100ef5eedb8391732375e6d05993b765f72cb34311fab92103314649"},
{file = "Pillow-8.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62cc1afda735a8d109007164714e73771b499768b9bb5afcbbee9d0ff374b43f"},
{file = "Pillow-8.4.0-cp310-cp310-win32.whl", hash = "sha256:e3dacecfbeec9a33e932f00c6cd7996e62f53ad46fbe677577394aaa90ee419a"},
{file = "Pillow-8.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:620582db2a85b2df5f8a82ddeb52116560d7e5e6b055095f04ad828d1b0baa39"},
{file = "Pillow-8.4.0-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:1bc723b434fbc4ab50bb68e11e93ce5fb69866ad621e3c2c9bdb0cd70e345f55"},
{file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:72cbcfd54df6caf85cc35264c77ede902452d6df41166010262374155947460c"},
{file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:70ad9e5c6cb9b8487280a02c0ad8a51581dcbbe8484ce058477692a27c151c0a"},
{file = "Pillow-8.4.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25a49dc2e2f74e65efaa32b153527fc5ac98508d502fa46e74fa4fd678ed6645"},
{file = "Pillow-8.4.0-cp36-cp36m-win32.whl", hash = "sha256:93ce9e955cc95959df98505e4608ad98281fff037350d8c2671c9aa86bcf10a9"},
{file = "Pillow-8.4.0-cp36-cp36m-win_amd64.whl", hash = "sha256:2e4440b8f00f504ee4b53fe30f4e381aae30b0568193be305256b1462216feff"},
{file = "Pillow-8.4.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:8c803ac3c28bbc53763e6825746f05cc407b20e4a69d0122e526a582e3b5e153"},
{file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c8a17b5d948f4ceeceb66384727dde11b240736fddeda54ca740b9b8b1556b29"},
{file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1394a6ad5abc838c5cd8a92c5a07535648cdf6d09e8e2d6df916dfa9ea86ead8"},
{file = "Pillow-8.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:792e5c12376594bfcb986ebf3855aa4b7c225754e9a9521298e460e92fb4a488"},
{file = "Pillow-8.4.0-cp37-cp37m-win32.whl", hash = "sha256:d99ec152570e4196772e7a8e4ba5320d2d27bf22fdf11743dd882936ed64305b"},
{file = "Pillow-8.4.0-cp37-cp37m-win_amd64.whl", hash = "sha256:7b7017b61bbcdd7f6363aeceb881e23c46583739cb69a3ab39cb384f6ec82e5b"},
{file = "Pillow-8.4.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:d89363f02658e253dbd171f7c3716a5d340a24ee82d38aab9183f7fdf0cdca49"},
{file = "Pillow-8.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0a0956fdc5defc34462bb1c765ee88d933239f9a94bc37d132004775241a7585"},
{file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b7bb9de00197fb4261825c15551adf7605cf14a80badf1761d61e59da347779"},
{file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:72b9e656e340447f827885b8d7a15fc8c4e68d410dc2297ef6787eec0f0ea409"},
{file = "Pillow-8.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5a4532a12314149d8b4e4ad8ff09dde7427731fcfa5917ff16d0291f13609df"},
{file = "Pillow-8.4.0-cp38-cp38-win32.whl", hash = "sha256:82aafa8d5eb68c8463b6e9baeb4f19043bb31fefc03eb7b216b51e6a9981ae09"},
{file = "Pillow-8.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:066f3999cb3b070a95c3652712cffa1a748cd02d60ad7b4e485c3748a04d9d76"},
{file = "Pillow-8.4.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:5503c86916d27c2e101b7f71c2ae2cddba01a2cf55b8395b0255fd33fa4d1f1a"},
{file = "Pillow-8.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4acc0985ddf39d1bc969a9220b51d94ed51695d455c228d8ac29fcdb25810e6e"},
{file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b052a619a8bfcf26bd8b3f48f45283f9e977890263e4571f2393ed8898d331b"},
{file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:493cb4e415f44cd601fcec11c99836f707bb714ab03f5ed46ac25713baf0ff20"},
{file = "Pillow-8.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8831cb7332eda5dc89b21a7bce7ef6ad305548820595033a4b03cf3091235ed"},
{file = "Pillow-8.4.0-cp39-cp39-win32.whl", hash = "sha256:5e9ac5f66616b87d4da618a20ab0a38324dbe88d8a39b55be8964eb520021e02"},
{file = "Pillow-8.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:3eb1ce5f65908556c2d8685a8f0a6e989d887ec4057326f6c22b24e8a172c66b"},
{file = "Pillow-8.4.0-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:ddc4d832a0f0b4c52fff973a0d44b6c99839a9d016fe4e6a1cb8f3eea96479c2"},
{file = "Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9a3e5ddc44c14042f0844b8cf7d2cd455f6cc80fd7f5eefbe657292cf601d9ad"},
{file = "Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c70e94281588ef053ae8998039610dbd71bc509e4acbc77ab59d7d2937b10698"},
{file = "Pillow-8.4.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:3862b7256046fcd950618ed22d1d60b842e3a40a48236a5498746f21189afbbc"},
{file = "Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a4901622493f88b1a29bd30ec1a2f683782e57c3c16a2dbc7f2595ba01f639df"},
{file = "Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84c471a734240653a0ec91dec0996696eea227eafe72a33bd06c92697728046b"},
{file = "Pillow-8.4.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:244cf3b97802c34c41905d22810846802a3329ddcb93ccc432870243211c79fc"},
{file = "Pillow-8.4.0.tar.gz", hash = "sha256:b8e2f83c56e141920c39464b852de3719dfbfb6e3c99a2d8da0edf4fb33176ed"},
{file = "Pillow-9.0.0-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:113723312215b25c22df1fdf0e2da7a3b9c357a7d24a93ebbe80bfda4f37a8d4"},
{file = "Pillow-9.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bb47a548cea95b86494a26c89d153fd31122ed65255db5dcbc421a2d28eb3379"},
{file = "Pillow-9.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:31b265496e603985fad54d52d11970383e317d11e18e856971bdbb86af7242a4"},
{file = "Pillow-9.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d154ed971a4cc04b93a6d5b47f37948d1f621f25de3e8fa0c26b2d44f24e3e8f"},
{file = "Pillow-9.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80fe92813d208ce8aa7d76da878bdc84b90809f79ccbad2a288e9bcbeac1d9bd"},
{file = "Pillow-9.0.0-cp310-cp310-win32.whl", hash = "sha256:d5dcea1387331c905405b09cdbfb34611050cc52c865d71f2362f354faee1e9f"},
{file = "Pillow-9.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:52abae4c96b5da630a8b4247de5428f593465291e5b239f3f843a911a3cf0105"},
{file = "Pillow-9.0.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:72c3110228944019e5f27232296c5923398496b28be42535e3b2dc7297b6e8b6"},
{file = "Pillow-9.0.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:97b6d21771da41497b81652d44191489296555b761684f82b7b544c49989110f"},
{file = "Pillow-9.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:72f649d93d4cc4d8cf79c91ebc25137c358718ad75f99e99e043325ea7d56100"},
{file = "Pillow-9.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7aaf07085c756f6cb1c692ee0d5a86c531703b6e8c9cae581b31b562c16b98ce"},
{file = "Pillow-9.0.0-cp37-cp37m-win32.whl", hash = "sha256:03b27b197deb4ee400ed57d8d4e572d2d8d80f825b6634daf6e2c18c3c6ccfa6"},
{file = "Pillow-9.0.0-cp37-cp37m-win_amd64.whl", hash = "sha256:a09a9d4ec2b7887f7a088bbaacfd5c07160e746e3d47ec5e8050ae3b2a229e9f"},
{file = "Pillow-9.0.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:490e52e99224858f154975db61c060686df8a6b3f0212a678e5d2e2ce24675c9"},
{file = "Pillow-9.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:500d397ddf4bbf2ca42e198399ac13e7841956c72645513e8ddf243b31ad2128"},
{file = "Pillow-9.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ebd8b9137630a7bbbff8c4b31e774ff05bbb90f7911d93ea2c9371e41039b52"},
{file = "Pillow-9.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fd0e5062f11cb3e730450a7d9f323f4051b532781026395c4323b8ad055523c4"},
{file = "Pillow-9.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f3b4522148586d35e78313db4db0df4b759ddd7649ef70002b6c3767d0fdeb7"},
{file = "Pillow-9.0.0-cp38-cp38-win32.whl", hash = "sha256:0b281fcadbb688607ea6ece7649c5d59d4bbd574e90db6cd030e9e85bde9fecc"},
{file = "Pillow-9.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:b5050d681bcf5c9f2570b93bee5d3ec8ae4cf23158812f91ed57f7126df91762"},
{file = "Pillow-9.0.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:c2067b3bb0781f14059b112c9da5a91c80a600a97915b4f48b37f197895dd925"},
{file = "Pillow-9.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2d16b6196fb7a54aff6b5e3ecd00f7c0bab1b56eee39214b2b223a9d938c50af"},
{file = "Pillow-9.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:98cb63ca63cb61f594511c06218ab4394bf80388b3d66cd61d0b1f63ee0ea69f"},
{file = "Pillow-9.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:bc462d24500ba707e9cbdef436c16e5c8cbf29908278af053008d9f689f56dee"},
{file = "Pillow-9.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3586e12d874ce2f1bc875a3ffba98732ebb12e18fb6d97be482bd62b56803281"},
{file = "Pillow-9.0.0-cp39-cp39-win32.whl", hash = "sha256:68e06f8b2248f6dc8b899c3e7ecf02c9f413aab622f4d6190df53a78b93d97a5"},
{file = "Pillow-9.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:6579f9ba84a3d4f1807c4aab4be06f373017fc65fff43498885ac50a9b47a553"},
{file = "Pillow-9.0.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:47f5cf60bcb9fbc46011f75c9b45a8b5ad077ca352a78185bd3e7f1d294b98bb"},
{file = "Pillow-9.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fd8053e1f8ff1844419842fd474fc359676b2e2a2b66b11cc59f4fa0a301315"},
{file = "Pillow-9.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c5439bfb35a89cac50e81c751317faea647b9a3ec11c039900cd6915831064d"},
{file = "Pillow-9.0.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:95545137fc56ce8c10de646074d242001a112a92de169986abd8c88c27566a05"},
{file = "Pillow-9.0.0.tar.gz", hash = "sha256:ee6e2963e92762923956fe5d3479b1fdc3b76c83f290aad131a2f98c3df0593e"},
]
plotly = [
{file = "plotly-5.5.0-py2.py3-none-any.whl", hash = "sha256:bc7d19272560f73fe4c2c989c31b00774a35d3a76891fab0b72c17616862d0e0"},
{file = "plotly-5.5.0.tar.gz", hash = "sha256:20b8a1a0f0434f9b8d10eb7caa66e947a9a1d698e5a53d40d447bbc0d2ae41f0"},
]
pluggy = [
{file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
{file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
{file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
{file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
]
psutil = [
{file = "psutil-5.9.0-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:55ce319452e3d139e25d6c3f85a1acf12d1607ddedea5e35fb47a552c051161b"},
@ -1172,6 +1381,11 @@ psutil = [
{file = "psutil-5.9.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:742c34fff804f34f62659279ed5c5b723bb0195e9d7bd9907591de9f8f6558e2"},
{file = "psutil-5.9.0-cp310-cp310-win32.whl", hash = "sha256:8293942e4ce0c5689821f65ce6522ce4786d02af57f13c0195b40e1edb1db61d"},
{file = "psutil-5.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:9b51917c1af3fa35a3f2dabd7ba96a2a4f19df3dec911da73875e1edaf22a40b"},
{file = "psutil-5.9.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e9805fed4f2a81de98ae5fe38b75a74c6e6ad2df8a5c479594c7629a1fe35f56"},
{file = "psutil-5.9.0-cp36-cp36m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c51f1af02334e4b516ec221ee26b8fdf105032418ca5a5ab9737e8c87dafe203"},
{file = "psutil-5.9.0-cp36-cp36m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:32acf55cb9a8cbfb29167cd005951df81b567099295291bcfd1027365b36591d"},
{file = "psutil-5.9.0-cp36-cp36m-win32.whl", hash = "sha256:e5c783d0b1ad6ca8a5d3e7b680468c9c926b804be83a3a8e95141b05c39c9f64"},
{file = "psutil-5.9.0-cp36-cp36m-win_amd64.whl", hash = "sha256:d62a2796e08dd024b8179bd441cb714e0f81226c352c802fca0fd3f89eeacd94"},
{file = "psutil-5.9.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3d00a664e31921009a84367266b35ba0aac04a2a6cad09c550a89041034d19a0"},
{file = "psutil-5.9.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7779be4025c540d1d65a2de3f30caeacc49ae7a2152108adeaf42c7534a115ce"},
{file = "psutil-5.9.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:072664401ae6e7c1bfb878c65d7282d4b4391f1bc9a56d5e03b5a490403271b5"},
@ -1210,12 +1424,12 @@ pyfoam = [
{file = "PyFoam-2021.6.tar.gz", hash = "sha256:e0513d122b09a32427e817f1a8c14d74db1376bf942a13b505dd029f16cab44e"},
]
pygments = [
{file = "Pygments-2.10.0-py3-none-any.whl", hash = "sha256:b8e67fe6af78f492b3c4b3e2970c0624cbf08beb1e493b2c99b9fa1b67a20380"},
{file = "Pygments-2.10.0.tar.gz", hash = "sha256:f398865f7eb6874156579fdf36bc840a03cab64d1cde9e93d68f46a425ec52c6"},
{file = "Pygments-2.11.2-py3-none-any.whl", hash = "sha256:44238f1b60a76d78fc8ca0528ee429702aae011c265fe6a8dd8b63049ae41c65"},
{file = "Pygments-2.11.2.tar.gz", hash = "sha256:4e426f72023d88d03b2fa258de560726ce890ff3b630f88c21cbb8b2503b8c6a"},
]
pyparsing = [
{file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
{file = "pyparsing-2.4.7.tar.gz", hash = "sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1"},
{file = "pyparsing-3.0.6-py3-none-any.whl", hash = "sha256:04ff808a5b90911829c55c4e26f75fa5ca8a2f5f36aa3a51f68e27033341d3e4"},
{file = "pyparsing-3.0.6.tar.gz", hash = "sha256:d9bdec0013ef1eb5a84ab39a3b3868911598afa494f5faa038647101504e2b81"},
]
pytest = [
{file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
@ -1277,8 +1491,8 @@ pyyaml = [
{file = "PyYAML-6.0.tar.gz", hash = "sha256:68fb519c14306fec9720a2a5b45bc9f0c8d1b9c72adf45c37baedfcd949c35a2"},
]
requests = [
{file = "requests-2.26.0-py2.py3-none-any.whl", hash = "sha256:6c1246513ecd5ecd4528a0906f910e8f0f9c6b8ec72030dc9fd154dc1a6efd24"},
{file = "requests-2.26.0.tar.gz", hash = "sha256:b8aa58f8cf793ffd8782d3d8cb19e66ef36f7aba4353eec859e74678b01b07a7"},
{file = "requests-2.27.1-py2.py3-none-any.whl", hash = "sha256:f22fa1e554c9ddfd16e6e41ac79759e17be9e492b3587efa038054674760e72d"},
{file = "requests-2.27.1.tar.gz", hash = "sha256:68d7c56fd5a8999887728ef304a6d12edc7be74f1cfa47714fc8b414525c9a61"},
]
setuptools-scm = [
{file = "setuptools_scm-6.3.2-py3-none-any.whl", hash = "sha256:4c64444b1d49c4063ae60bfe1680f611c8b13833d556fd1d6050c0023162a119"},
@ -1293,8 +1507,8 @@ snowballstemmer = [
{file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
]
sphinx = [
{file = "Sphinx-4.3.0-py3-none-any.whl", hash = "sha256:7e2b30da5f39170efcd95c6270f07669d623c276521fee27ad6c380f49d2bf5b"},
{file = "Sphinx-4.3.0.tar.gz", hash = "sha256:6d051ab6e0d06cba786c4656b0fe67ba259fe058410f49e95bee6e49c4052cbf"},
{file = "Sphinx-4.3.2-py3-none-any.whl", hash = "sha256:6a11ea5dd0bdb197f9c2abc2e0ce73e01340464feaece525e64036546d24c851"},
{file = "Sphinx-4.3.2.tar.gz", hash = "sha256:0a8836751a68306b3fe97ecbe44db786f8479c3bf4b80e3a7f5c838657b4698c"},
]
sphinx-rtd-theme = [
{file = "sphinx_rtd_theme-1.0.0-py2.py3-none-any.whl", hash = "sha256:4d35a56f4508cfee4c4fb604373ede6feae2a306731d533f409ef5c3496fdbd8"},
@ -1328,17 +1542,21 @@ stdlib-list = [
{file = "stdlib-list-0.8.0.tar.gz", hash = "sha256:a1e503719720d71e2ed70ed809b385c60cd3fb555ba7ec046b96360d30b16d9f"},
{file = "stdlib_list-0.8.0-py3-none-any.whl", hash = "sha256:2ae0712a55b68f3fbbc9e58d6fa1b646a062188f49745b495f94d3310a9fdd3e"},
]
tenacity = [
{file = "tenacity-8.0.1-py3-none-any.whl", hash = "sha256:f78f4ea81b0fabc06728c11dc2a8c01277bfc5181b321a4770471902e3eb844a"},
{file = "tenacity-8.0.1.tar.gz", hash = "sha256:43242a20e3e73291a28bcbcacfd6e000b02d3857a9a9fff56b297a27afdc932f"},
]
toml = [
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
]
tomli = [
{file = "tomli-1.2.2-py3-none-any.whl", hash = "sha256:f04066f68f5554911363063a30b108d2b5a5b1a010aa8b6132af78489fe3aade"},
{file = "tomli-1.2.2.tar.gz", hash = "sha256:c6ce0015eb38820eaf32b5db832dbc26deb3dd427bd5f6556cf0acac2c214fee"},
{file = "tomli-2.0.0-py3-none-any.whl", hash = "sha256:b5bde28da1fed24b9bd1d4d2b8cba62300bfb4ec9a6187a957e8ddb9434c5224"},
{file = "tomli-2.0.0.tar.gz", hash = "sha256:c292c34f58502a1eb2bbb9f5bbc9a5ebc37bee10ffb8c2d6bbdfa8eb13cc14e1"},
]
urllib3 = [
{file = "urllib3-1.26.7-py2.py3-none-any.whl", hash = "sha256:c4fdf4019605b6e5423637e01bc9fe4daef873709a7973e195ceba0a62bbc844"},
{file = "urllib3-1.26.7.tar.gz", hash = "sha256:4987c65554f7a2dbf30c18fd48778ef124af6fab771a377103da0585e2336ece"},
{file = "urllib3-1.26.8-py2.py3-none-any.whl", hash = "sha256:000ca7f471a233c2251c6c7023ee85305721bfdf18621ebff4fd17a8653427ed"},
{file = "urllib3-1.26.8.tar.gz", hash = "sha256:0e7c33d9a63e7ddfcb86780aac87befc2fbddf46c58dbb487e0855f7ceec283c"},
]
vulture = [
{file = "vulture-2.3-py2.py3-none-any.whl", hash = "sha256:f39de5e6f1df1f70c3b50da54f1c8d494159e9ca3d01a9b89eac929600591703"},
@ -1347,3 +1565,7 @@ vulture = [
watchdog = [
{file = "watchdog-0.9.0.tar.gz", hash = "sha256:965f658d0732de3188211932aeb0bb457587f04f63ab4c1e33eab878e9de961d"},
]
werkzeug = [
{file = "Werkzeug-2.0.2-py3-none-any.whl", hash = "sha256:63d3dc1cf60e7b7e35e97fa9861f7397283b75d765afcaefd993d6046899de8f"},
{file = "Werkzeug-2.0.2.tar.gz", hash = "sha256:aa2bb6fc8dee8d6c504c0ac1e7f5f7dc5810a9903e793b6f715a9f015bdadb9a"},
]

View File

@ -36,6 +36,8 @@ pyfoam = "^2021.6"
click = "^8.0.3"
dill = "^0.3.4"
psutil = "^5.9.0"
dash = {version = "^2.0.0", optional = true, extras = ["gui"]}
dash-bootstrap-components = {version = "^1.0.2", optional = true, extras = ["gui"]}
[tool.poetry.dev-dependencies]
pytest = "^6.2.5"