From 00a7a500c3a6d639c5b320e8f9f34ff850fc4ef1 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 26 Feb 2022 14:26:43 +0000
Subject: [PATCH 01/19] update dependencies

---
 poetry.lock    | 2863 +++++++++++++++++++++++++++++-------------------
 pyproject.toml |   12 +-
 2 files changed, 1718 insertions(+), 1157 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1ee85ef..7428435 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,133 +1,173 @@
 [[package]]
-category = "main"
-description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 name = "absl-py"
+version = "1.0.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+category = "main"
 optional = false
-python-versions = "*"
-version = "0.12.0"
+python-versions = ">=3.6"
 
 [package.dependencies]
 six = "*"
 
 [[package]]
-category = "main"
-description = "Async http client/server framework (asyncio)"
 name = "aiohttp"
+version = "3.8.1"
+description = "Async http client/server framework (asyncio)"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "3.7.4.post0"
 
 [package.dependencies]
-async-timeout = ">=3.0,<4.0"
+aiosignal = ">=1.1.2"
+async-timeout = ">=4.0.0a3,<5.0"
 attrs = ">=17.3.0"
-chardet = ">=2.0,<5.0"
+charset-normalizer = ">=2.0,<3.0"
+frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-typing-extensions = ">=3.6.5"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["aiodns", "brotlipy", "cchardet"]
+speedups = ["aiodns", "brotli", "cchardet"]
 
 [[package]]
+name = "aiosignal"
+version = "1.2.0"
+description = "aiosignal: a list of registered asynchronous callbacks"
 category = "main"
-description = "ANTLR 4.8 runtime for Python 3.7"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
+[[package]]
 name = "antlr4-python3-runtime"
+version = "4.8"
+description = "ANTLR 4.8 runtime for Python 3.7"
+category = "main"
 optional = false
 python-versions = "*"
-version = "4.8"
 
 [[package]]
-category = "dev"
-description = "Disable App Nap on macOS >= 10.9"
-marker = "sys_platform == \"darwin\" or platform_system == \"Darwin\""
 name = "appnope"
+version = "0.1.2"
+description = "Disable App Nap on macOS >= 10.9"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.1.2"
 
 [[package]]
-category = "dev"
-description = "The secure Argon2 password hashing algorithm."
 name = "argon2-cffi"
+version = "21.3.0"
+description = "The secure Argon2 password hashing algorithm."
+category = "dev"
 optional = false
-python-versions = "*"
-version = "20.1.0"
+python-versions = ">=3.6"
 
 [package.dependencies]
-cffi = ">=1.0.0"
-six = "*"
+argon2-cffi-bindings = "*"
 
 [package.extras]
-dev = ["coverage (>=5.0.2)", "hypothesis", "pytest", "sphinx", "wheel", "pre-commit"]
-docs = ["sphinx"]
-tests = ["coverage (>=5.0.2)", "hypothesis", "pytest"]
+dev = ["pre-commit", "cogapp", "tomli", "coverage[toml] (>=5.0.2)", "hypothesis", "pytest", "sphinx", "sphinx-notfound-page", "furo"]
+docs = ["sphinx", "sphinx-notfound-page", "furo"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pytest"]
 
 [[package]]
+name = "argon2-cffi-bindings"
+version = "21.2.0"
+description = "Low-level CFFI bindings for Argon2"
 category = "dev"
-description = "Async generators and context managers for Python 3.5+"
-name = "async-generator"
 optional = false
-python-versions = ">=3.5"
-version = "1.10"
+python-versions = ">=3.6"
+
+[package.dependencies]
+cffi = ">=1.0.1"
+
+[package.extras]
+dev = ["pytest", "cogapp", "pre-commit", "wheel"]
+tests = ["pytest"]
+
+[[package]]
+name = "asttokens"
+version = "2.0.5"
+description = "Annotate AST trees with source code positions"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[package.extras]
+test = ["astroid", "pytest"]
 
 [[package]]
-category = "main"
-description = "Timeout context manager for asyncio programs"
 name = "async-timeout"
+version = "4.0.2"
+description = "Timeout context manager for asyncio programs"
+category = "main"
 optional = false
-python-versions = ">=3.5.3"
-version = "3.0.1"
+python-versions = ">=3.6"
 
 [[package]]
-category = "dev"
-description = "Atomic file writes."
-marker = "sys_platform == \"win32\""
 name = "atomicwrites"
+version = "1.4.0"
+description = "Atomic file writes."
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "1.4.0"
 
 [[package]]
-category = "main"
-description = "Classes Without Boilerplate"
 name = "attrs"
+version = "21.4.0"
+description = "Classes Without Boilerplate"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "21.2.0"
 
 [package.extras]
-dev = ["coverage (>=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 (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
-tests_no_zope = ["coverage (>=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 = "backcall"
+version = "0.2.0"
+description = "Specifications for callback functions passed in to an API"
 category = "dev"
-description = "A tool that automatically formats Python code to conform to the PEP 8 style guide"
-name = "autopep8"
 optional = false
 python-versions = "*"
-version = "1.5.7"
-
-[package.dependencies]
-pycodestyle = ">=2.7.0"
-toml = "*"
 
 [[package]]
+name = "black"
+version = "22.1.0"
+description = "The uncompromising code formatter."
 category = "dev"
-description = "Specifications for callback functions passed in to an API"
-name = "backcall"
 optional = false
-python-versions = "*"
-version = "0.2.0"
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+click = ">=8.0.0"
+mypy-extensions = ">=0.4.3"
+pathspec = ">=0.9.0"
+platformdirs = ">=2"
+tomli = ">=1.1.0"
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+colorama = ["colorama (>=0.4.3)"]
+d = ["aiohttp (>=3.7.4)"]
+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
+uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
-category = "dev"
-description = "An easy safelist-based HTML-sanitizing tool."
 name = "bleach"
+version = "4.1.0"
+description = "An easy safelist-based HTML-sanitizing tool."
+category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "3.3.0"
+python-versions = ">=3.6"
 
 [package.dependencies]
 packaging = "*"
@@ -135,99 +175,117 @@ six = ">=1.9.0"
 webencodings = "*"
 
 [[package]]
-category = "main"
-description = "Extensible memoizing collections and decorators"
 name = "cachetools"
+version = "5.0.0"
+description = "Extensible memoizing collections and decorators"
+category = "main"
 optional = false
-python-versions = "~=3.5"
-version = "4.2.2"
+python-versions = "~=3.7"
 
 [[package]]
-category = "main"
-description = "Python package for providing Mozilla's CA Bundle."
 name = "certifi"
+version = "2021.10.8"
+description = "Python package for providing Mozilla's CA Bundle."
+category = "main"
 optional = false
 python-versions = "*"
-version = "2020.12.5"
 
 [[package]]
-category = "dev"
-description = "Foreign Function Interface for Python calling C code."
 name = "cffi"
+version = "1.15.0"
+description = "Foreign Function Interface for Python calling C code."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "1.14.5"
 
 [package.dependencies]
 pycparser = "*"
 
 [[package]]
+name = "charset-normalizer"
+version = "2.0.12"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
-description = "Universal encoding detector for Python 2 and 3"
-name = "chardet"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "4.0.0"
+python-versions = ">=3.5.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
 
 [[package]]
-category = "main"
-description = "Composable command line interface toolkit"
 name = "click"
+version = "8.0.4"
+description = "Composable command line interface toolkit"
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "7.1.2"
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
-category = "dev"
-description = "Cross-platform colored terminal text."
-marker = "sys_platform == \"win32\""
 name = "colorama"
+version = "0.4.4"
+description = "Cross-platform colored terminal text."
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "0.4.4"
 
 [[package]]
-category = "dev"
-description = "Composable style cycles"
 name = "cycler"
+version = "0.11.0"
+description = "Composable style cycles"
+category = "dev"
 optional = false
-python-versions = "*"
-version = "0.10.0"
-
-[package.dependencies]
-six = "*"
+python-versions = ">=3.6"
 
 [[package]]
+name = "debugpy"
+version = "1.5.1"
+description = "An implementation of the Debug Adapter Protocol for Python"
 category = "dev"
-description = "Decorators for Humans"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*"
+
+[[package]]
 name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "5.0.7"
 
 [[package]]
-category = "dev"
-description = "XML bomb protection for Python stdlib modules"
 name = "defusedxml"
+version = "0.7.1"
+description = "XML bomb protection for Python stdlib modules"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "0.7.1"
 
 [[package]]
-category = "dev"
-description = "Discover and load entry points from installed packages."
 name = "entrypoints"
+version = "0.4"
+description = "Discover and load entry points from installed packages."
+category = "dev"
 optional = false
-python-versions = ">=2.7"
-version = "0.3"
+python-versions = ">=3.6"
 
 [[package]]
+name = "executing"
+version = "0.8.2"
+description = "Get the currently executing AST node of a frame, and other information"
 category = "dev"
-description = "the modular source code checker: pep8 pyflakes and co"
+optional = false
+python-versions = "*"
+
+[[package]]
 name = "flake8"
+version = "3.9.2"
+description = "the modular source code checker: pep8 pyflakes and co"
+category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
-version = "3.9.1"
 
 [package.dependencies]
 mccabe = ">=0.6.0,<0.7.0"
@@ -235,77 +293,102 @@ pycodestyle = ">=2.7.0,<2.8.0"
 pyflakes = ">=2.3.0,<2.4.0"
 
 [[package]]
+name = "fonttools"
+version = "4.29.1"
+description = "Tools to manipulate font files"
+category = "dev"
+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)", "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"]
+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 = "frozenlist"
+version = "1.3.0"
+description = "A list-like structure which implements collections.abc.MutableSequence"
 category = "main"
-description = "File-system specification"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
 name = "fsspec"
+version = "2022.2.0"
+description = "File-system specification"
+category = "main"
 optional = false
-python-versions = ">=3.6"
-version = "2021.4.0"
+python-versions = ">=3.7"
 
 [package.dependencies]
-[package.dependencies.aiohttp]
-optional = true
-version = "*"
-
-[package.dependencies.requests]
-optional = true
-version = "*"
+aiohttp = {version = "*", optional = true, markers = "extra == \"http\""}
+requests = {version = "*", optional = true, markers = "extra == \"http\""}
 
 [package.extras]
 abfs = ["adlfs"]
 adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
 dropbox = ["dropboxdrivefs", "requests", "dropbox"]
 entrypoints = ["importlib-metadata"]
+fuse = ["fusepy"]
 gcs = ["gcsfs"]
 git = ["pygit2"]
 github = ["requests"]
 gs = ["gcsfs"]
+gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
 http = ["requests", "aiohttp"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
 s3 = ["s3fs"]
 sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 
 [[package]]
-category = "main"
-description = "Clean single-source support for Python 3 and 2"
 name = "future"
+version = "0.18.2"
+description = "Clean single-source support for Python 3 and 2"
+category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-version = "0.18.2"
 
 [[package]]
-category = "main"
-description = "Google Authentication Library"
 name = "google-auth"
+version = "2.6.0"
+description = "Google Authentication Library"
+category = "main"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
-version = "1.30.0"
 
 [package.dependencies]
-cachetools = ">=2.0.0,<5.0"
+cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
-setuptools = ">=40.3.0"
+rsa = {version = ">=3.1.4,<5", markers = "python_version >= \"3.6\""}
 six = ">=1.9.0"
 
-[package.dependencies.rsa]
-python = ">=3.6"
-version = ">=3.1.4,<5"
-
 [package.extras]
-aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
+aiohttp = ["requests (>=2.20.0,<3.0.0dev)", "aiohttp (>=3.6.2,<4.0.0dev)"]
 pyopenssl = ["pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 
 [[package]]
-category = "main"
-description = "Google Authentication Library"
 name = "google-auth-oauthlib"
+version = "0.4.6"
+description = "Google Authentication Library"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "0.4.4"
 
 [package.dependencies]
 google-auth = ">=1.0.0"
@@ -315,106 +398,125 @@ requests-oauthlib = ">=0.7.0"
 tool = ["click (>=6.0.0)"]
 
 [[package]]
-category = "main"
-description = "HTTP/2-based RPC framework"
 name = "grpcio"
+version = "1.44.0"
+description = "HTTP/2-based RPC framework"
+category = "main"
 optional = false
-python-versions = "*"
-version = "1.37.1"
+python-versions = ">=3.6"
 
 [package.dependencies]
 six = ">=1.5.2"
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.37.1)"]
+protobuf = ["grpcio-tools (>=1.44.0)"]
 
 [[package]]
-category = "main"
-description = "A framework for elegantly configuring complex applications"
 name = "hydra-core"
+version = "1.1.1"
+description = "A framework for elegantly configuring complex applications"
+category = "main"
 optional = false
 python-versions = "*"
-version = "1.1.0.dev5"
 
 [package.dependencies]
 antlr4-python3-runtime = "4.8"
-omegaconf = "2.1.0dev24"
-
-[package.dependencies.importlib-resources]
-python = "<3.9"
-version = "*"
+importlib-resources = {version = "*", markers = "python_version < \"3.9\""}
+omegaconf = ">=2.1.0,<2.2.0"
 
 [[package]]
-category = "main"
-description = "Internationalized Domain Names in Applications (IDNA)"
 name = "idna"
+version = "3.3"
+description = "Internationalized Domain Names in Applications (IDNA)"
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "2.10"
+python-versions = ">=3.5"
 
 [[package]]
+name = "importlib-metadata"
+version = "4.11.1"
+description = "Read metadata from Python packages"
 category = "main"
-description = "Read resources from Python packages"
-marker = "python_version < \"3.9\""
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+zipp = ">=0.5"
+
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+perf = ["ipython"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"]
+
+[[package]]
 name = "importlib-resources"
+version = "5.4.0"
+description = "Read resources from Python packages"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "5.1.2"
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "pytest-black (>=0.3.7)", "pytest-mypy"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-black (>=0.3.7)", "pytest-mypy"]
 
 [[package]]
-category = "dev"
-description = "iniconfig: brain-dead simple config-ini parsing"
 name = "iniconfig"
+version = "1.1.1"
+description = "iniconfig: brain-dead simple config-ini parsing"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "1.1.1"
 
 [[package]]
-category = "dev"
-description = "IPython Kernel for Jupyter"
 name = "ipykernel"
+version = "6.9.1"
+description = "IPython Kernel for Jupyter"
+category = "dev"
 optional = false
-python-versions = ">=3.5"
-version = "5.5.4"
+python-versions = ">=3.7"
 
 [package.dependencies]
-appnope = "*"
-ipython = ">=5.0.0"
-jupyter-client = "*"
-tornado = ">=4.2"
-traitlets = ">=4.1.0"
+appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+debugpy = ">=1.0.0,<2.0"
+ipython = ">=7.23.1"
+jupyter-client = "<8.0"
+matplotlib-inline = ">=0.1.0,<0.2.0"
+nest-asyncio = "*"
+tornado = ">=4.2,<7.0"
+traitlets = ">=5.1.0,<6.0"
 
 [package.extras]
-test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
+test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "ipyparallel"]
 
 [[package]]
-category = "dev"
-description = "IPython: Productive Interactive Computing"
 name = "ipython"
+version = "8.0.1"
+description = "IPython: Productive Interactive Computing"
+category = "dev"
 optional = false
-python-versions = ">=3.7"
-version = "7.23.1"
+python-versions = ">=3.8"
 
 [package.dependencies]
-appnope = "*"
+appnope = {version = "*", markers = "sys_platform == \"darwin\""}
 backcall = "*"
-colorama = "*"
+black = "*"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
 decorator = "*"
 jedi = ">=0.16"
 matplotlib-inline = "*"
-pexpect = ">4.3"
+pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
 pickleshare = "*"
 prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
 pygments = "*"
-setuptools = ">=18.5"
-traitlets = ">=4.2"
+stack-data = "*"
+traitlets = ">=5"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.16)", "pygments", "qtconsole", "requests", "testpath"]
+all = ["Sphinx (>=1.3)", "curio", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.19)", "pandas", "pygments", "pytest", "pytest-asyncio", "qtconsole", "testpath", "trio"]
 doc = ["Sphinx (>=1.3)"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
@@ -422,83 +524,84 @@ nbformat = ["nbformat"]
 notebook = ["notebook", "ipywidgets"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.16)"]
+test = ["pytest", "pytest-asyncio", "testpath", "pygments"]
+test_extra = ["pytest", "testpath", "curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "pygments", "trio"]
 
 [[package]]
-category = "dev"
-description = "Vestigial utilities from IPython"
 name = "ipython-genutils"
+version = "0.2.0"
+description = "Vestigial utilities from IPython"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.2.0"
 
 [[package]]
-category = "dev"
-description = "An autocompletion tool for Python that can be used for text editors."
 name = "jedi"
+version = "0.18.1"
+description = "An autocompletion tool for Python that can be used for text editors."
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "0.18.0"
 
 [package.dependencies]
 parso = ">=0.8.0,<0.9.0"
 
 [package.extras]
-qa = ["flake8 (3.8.3)", "mypy (0.782)"]
-testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
+testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
-category = "dev"
-description = "A very fast and expressive template engine."
 name = "jinja2"
+version = "3.0.3"
+description = "A very fast and expressive template engine."
+category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "2.11.3"
+python-versions = ">=3.6"
 
 [package.dependencies]
-MarkupSafe = ">=0.23"
+MarkupSafe = ">=2.0"
 
 [package.extras]
-i18n = ["Babel (>=0.8)"]
+i18n = ["Babel (>=2.7)"]
 
 [[package]]
-category = "dev"
-description = "A Python implementation of the JSON5 data format."
 name = "json5"
+version = "0.9.6"
+description = "A Python implementation of the JSON5 data format."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.9.5"
 
 [package.extras]
 dev = ["hypothesis"]
 
 [[package]]
-category = "dev"
-description = "An implementation of JSON Schema validation for Python"
 name = "jsonschema"
+version = "4.4.0"
+description = "An implementation of JSON Schema validation for Python"
+category = "dev"
 optional = false
-python-versions = "*"
-version = "3.2.0"
+python-versions = ">=3.7"
 
 [package.dependencies]
 attrs = ">=17.4.0"
-pyrsistent = ">=0.14.0"
-setuptools = "*"
-six = ">=1.11.0"
+importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
+pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2"
 
 [package.extras]
-format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"]
-format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format_nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"]
 
 [[package]]
-category = "dev"
-description = "Jupyter protocol implementation and client libraries"
 name = "jupyter-client"
+version = "7.1.2"
+description = "Jupyter protocol implementation and client libraries"
+category = "dev"
 optional = false
 python-versions = ">=3.6.1"
-version = "6.2.0"
 
 [package.dependencies]
+entrypoints = "*"
 jupyter-core = ">=4.6.0"
 nest-asyncio = ">=1.5"
 python-dateutil = ">=2.1"
@@ -507,28 +610,28 @@ tornado = ">=4.1"
 traitlets = "*"
 
 [package.extras]
-doc = ["sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "mypy", "pre-commit", "jedi (<0.18)"]
+doc = ["myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
+test = ["codecov", "coverage", "ipykernel", "ipython", "mock", "mypy", "pre-commit", "pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "jedi (<0.18)"]
 
 [[package]]
-category = "dev"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
 name = "jupyter-core"
+version = "4.9.2"
+description = "Jupyter core package. A base package on which Jupyter projects rely."
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "4.7.1"
 
 [package.dependencies]
-pywin32 = ">=1.0"
+pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
 traitlets = "*"
 
 [[package]]
-category = "dev"
-description = "The JupyterLab notebook server extension."
 name = "jupyterlab"
+version = "2.3.2"
+description = "The JupyterLab notebook server extension."
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "2.3.1"
 
 [package.dependencies]
 jinja2 = ">=2.10"
@@ -541,23 +644,23 @@ docs = ["jsx-lexer", "recommonmark", "sphinx", "sphinx-rtd-theme", "sphinx-copyb
 test = ["pytest", "pytest-check-links", "requests", "wheel", "virtualenv"]
 
 [[package]]
-category = "dev"
-description = "Pygments theme using JupyterLab CSS variables"
 name = "jupyterlab-pygments"
+version = "0.1.2"
+description = "Pygments theme using JupyterLab CSS variables"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.1.2"
 
 [package.dependencies]
 pygments = ">=2.4.1,<3"
 
 [[package]]
-category = "dev"
-description = "JupyterLab Server"
 name = "jupyterlab-server"
+version = "1.2.0"
+description = "JupyterLab Server"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "1.2.0"
 
 [package.dependencies]
 jinja2 = ">=2.10"
@@ -570,110 +673,122 @@ requests = "*"
 test = ["pytest", "requests"]
 
 [[package]]
-category = "dev"
-description = "A fast implementation of the Cassowary constraint solver"
 name = "kiwisolver"
+version = "1.3.2"
+description = "A fast implementation of the Cassowary constraint solver"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
-version = "1.3.1"
+python-versions = ">=3.7"
 
 [[package]]
-category = "main"
-description = "Python implementation of Markdown."
 name = "markdown"
+version = "3.3.6"
+description = "Python implementation of Markdown."
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "3.3.4"
+
+[package.dependencies]
+importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 
 [package.extras]
 testing = ["coverage", "pyyaml"]
 
 [[package]]
-category = "dev"
-description = "Safely add untrusted strings to HTML/XML markup."
 name = "markupsafe"
+version = "2.1.0"
+description = "Safely add untrusted strings to HTML/XML markup."
+category = "dev"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
-version = "1.1.1"
+python-versions = ">=3.7"
 
 [[package]]
-category = "dev"
-description = "Python plotting package"
 name = "matplotlib"
+version = "3.5.1"
+description = "Python plotting package"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
-version = "3.4.1"
 
 [package.dependencies]
 cycler = ">=0.10"
+fonttools = ">=4.22.0"
 kiwisolver = ">=1.0.1"
-numpy = ">=1.16"
+numpy = ">=1.17"
+packaging = ">=20.0"
 pillow = ">=6.2.0"
 pyparsing = ">=2.2.1"
 python-dateutil = ">=2.7"
+setuptools_scm = ">=4"
 
 [[package]]
-category = "dev"
-description = "Inline Matplotlib backend for Jupyter"
 name = "matplotlib-inline"
+version = "0.1.3"
+description = "Inline Matplotlib backend for Jupyter"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "0.1.2"
 
 [package.dependencies]
 traitlets = "*"
 
 [[package]]
-category = "dev"
-description = "McCabe checker, plugin for flake8"
 name = "mccabe"
+version = "0.6.1"
+description = "McCabe checker, plugin for flake8"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.6.1"
 
 [[package]]
-category = "dev"
-description = "The fastest markdown parser in pure Python"
 name = "mistune"
+version = "0.8.4"
+description = "The fastest markdown parser in pure Python"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.8.4"
 
 [[package]]
-category = "main"
-description = "multidict implementation"
 name = "multidict"
+version = "6.0.2"
+description = "multidict implementation"
+category = "main"
 optional = false
-python-versions = ">=3.6"
-version = "5.1.0"
+python-versions = ">=3.7"
 
 [[package]]
+name = "mypy-extensions"
+version = "0.4.3"
+description = "Experimental type system extensions for programs checked with the mypy typechecker."
 category = "dev"
-description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
+optional = false
+python-versions = "*"
+
+[[package]]
 name = "nbclient"
+version = "0.5.11"
+description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
+category = "dev"
 optional = false
-python-versions = ">=3.6.1"
-version = "0.5.3"
+python-versions = ">=3.7.0"
 
 [package.dependencies]
-async-generator = "*"
 jupyter-client = ">=6.1.5"
 nbformat = ">=5.0"
 nest-asyncio = "*"
 traitlets = ">=4.2"
 
 [package.extras]
-dev = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
 sphinx = ["Sphinx (>=1.7)", "sphinx-book-theme", "mock", "moto", "myst-parser"]
-test = ["codecov", "coverage", "ipython", "ipykernel", "ipywidgets", "pytest (>=4.1)", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "tox", "bumpversion", "xmltodict", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "black"]
+test = ["ipython (<8.0.0)", "ipykernel", "ipywidgets (<8.0.0)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "check-manifest", "flake8", "mypy", "xmltodict", "black", "pip (>=18.1)", "wheel (>=0.31.0)", "setuptools (>=38.6.0)", "twine (>=1.11.0)"]
 
 [[package]]
-category = "dev"
-description = "Converting Jupyter Notebooks"
 name = "nbconvert"
+version = "6.4.2"
+description = "Converting Jupyter Notebooks"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
-version = "6.0.7"
+python-versions = ">=3.7"
 
 [package.dependencies]
 bleach = "*"
@@ -688,22 +803,22 @@ nbformat = ">=4.4"
 pandocfilters = ">=1.4.1"
 pygments = ">=2.4.1"
 testpath = "*"
-traitlets = ">=4.2"
+traitlets = ">=5.0"
 
 [package.extras]
-all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (0.2.2)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
+all = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)", "tornado (>=4.0)", "sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
 docs = ["sphinx (>=1.5.1)", "sphinx-rtd-theme", "nbsphinx (>=0.2.12)", "ipython"]
 serve = ["tornado (>=4.0)"]
-test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (0.2.2)"]
-webpdf = ["pyppeteer (0.2.2)"]
+test = ["pytest", "pytest-cov", "pytest-dependency", "ipykernel", "ipywidgets (>=7)", "pyppeteer (>=1,<1.1)"]
+webpdf = ["pyppeteer (>=1,<1.1)"]
 
 [[package]]
-category = "dev"
-description = "The Jupyter Notebook format"
 name = "nbformat"
+version = "5.1.3"
+description = "The Jupyter Notebook format"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "5.1.3"
 
 [package.dependencies]
 ipython-genutils = "*"
@@ -716,23 +831,22 @@ fast = ["fastjsonschema"]
 test = ["check-manifest", "fastjsonschema", "testpath", "pytest", "pytest-cov"]
 
 [[package]]
-category = "dev"
-description = "Patch asyncio to allow nested event loops"
 name = "nest-asyncio"
+version = "1.5.4"
+description = "Patch asyncio to allow nested event loops"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "1.5.1"
 
 [[package]]
-category = "dev"
-description = "A web-based notebook environment for interactive computing"
 name = "notebook"
+version = "6.4.8"
+description = "A web-based notebook environment for interactive computing"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "6.3.0"
 
 [package.dependencies]
-Send2Trash = ">=1.5.0"
 argon2-cffi = "*"
 ipykernel = "*"
 ipython-genutils = "*"
@@ -741,220 +855,249 @@ jupyter-client = ">=5.3.4"
 jupyter-core = ">=4.6.1"
 nbconvert = "*"
 nbformat = "*"
+nest-asyncio = ">=1.5"
 prometheus-client = "*"
 pyzmq = ">=17"
+Send2Trash = ">=1.8.0"
 terminado = ">=0.8.3"
 tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme"]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
 json-logging = ["json-logging"]
 test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
 
 [[package]]
-category = "main"
-description = "NumPy is the fundamental package for array computing with Python."
 name = "numpy"
+version = "1.22.2"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
 optional = false
-python-versions = ">=3.7"
-version = "1.20.2"
+python-versions = ">=3.8"
 
 [[package]]
-category = "main"
-description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 name = "oauthlib"
+version = "3.2.0"
+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "3.1.0"
+python-versions = ">=3.6"
 
 [package.extras]
-rsa = ["cryptography"]
-signals = ["blinker"]
-signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
+rsa = ["cryptography (>=3.0.0)"]
+signals = ["blinker (>=1.4.0)"]
+signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
-category = "main"
-description = "A flexible configuration library"
 name = "omegaconf"
+version = "2.1.1"
+description = "A flexible configuration library"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "2.1.0.dev24"
 
 [package.dependencies]
-PyYAML = ">=5.1"
 antlr4-python3-runtime = "4.8"
+PyYAML = ">=5.1.0"
 
 [[package]]
-category = "main"
-description = "A decorator to automatically detect mismatch when overriding a method."
 name = "overrides"
+version = "3.1.0"
+description = "A decorator to automatically detect mismatch when overriding a method."
+category = "main"
 optional = false
 python-versions = "*"
-version = "3.1.0"
 
 [[package]]
-category = "main"
-description = "Core utilities for Python packages"
 name = "packaging"
+version = "21.3"
+description = "Core utilities for Python packages"
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "20.9"
+python-versions = ">=3.6"
 
 [package.dependencies]
-pyparsing = ">=2.0.2"
+pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
 
 [[package]]
-category = "dev"
-description = "Utilities for writing pandoc filters in python"
 name = "pandocfilters"
+version = "1.5.0"
+description = "Utilities for writing pandoc filters in python"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "1.4.3"
 
 [[package]]
-category = "dev"
-description = "A Python Parser"
 name = "parso"
+version = "0.8.3"
+description = "A Python Parser"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "0.8.2"
 
 [package.extras]
-qa = ["flake8 (3.8.3)", "mypy (0.782)"]
+qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
 testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
+name = "pathspec"
+version = "0.9.0"
+description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
-description = "Pexpect allows easy control of interactive console applications."
-marker = "sys_platform != \"win32\""
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+
+[[package]]
 name = "pexpect"
+version = "4.8.0"
+description = "Pexpect allows easy control of interactive console applications."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "4.8.0"
 
 [package.dependencies]
 ptyprocess = ">=0.5"
 
 [[package]]
-category = "dev"
-description = "Tiny 'shelve'-like database with concurrency support"
 name = "pickleshare"
+version = "0.7.5"
+description = "Tiny 'shelve'-like database with concurrency support"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.7.5"
 
 [[package]]
-category = "dev"
-description = "Python Imaging Library (Fork)"
 name = "pillow"
+version = "9.0.1"
+description = "Python Imaging Library (Fork)"
+category = "dev"
 optional = false
-python-versions = ">=3.6"
-version = "8.2.0"
+python-versions = ">=3.7"
 
 [[package]]
+name = "platformdirs"
+version = "2.5.1"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
-description = "plugin and hook calling mechanisms for python"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
+test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+
+[[package]]
 name = "pluggy"
+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.*"
-version = "0.13.1"
+python-versions = ">=3.6"
 
 [package.extras]
 dev = ["pre-commit", "tox"]
+testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
-category = "dev"
-description = "Python client for the Prometheus monitoring system."
 name = "prometheus-client"
+version = "0.13.1"
+description = "Python client for the Prometheus monitoring system."
+category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "0.10.1"
+python-versions = ">=3.6"
 
 [package.extras]
 twisted = ["twisted"]
 
 [[package]]
-category = "dev"
-description = "Library for building powerful interactive command lines in Python"
 name = "prompt-toolkit"
+version = "3.0.28"
+description = "Library for building powerful interactive command lines in Python"
+category = "dev"
 optional = false
-python-versions = ">=3.6.1"
-version = "3.0.18"
+python-versions = ">=3.6.2"
 
 [package.dependencies]
 wcwidth = "*"
 
 [[package]]
-category = "main"
-description = "Protocol Buffers"
 name = "protobuf"
+version = "3.19.4"
+description = "Protocol Buffers"
+category = "main"
 optional = false
-python-versions = "*"
-version = "3.16.0"
-
-[package.dependencies]
-six = ">=1.9"
+python-versions = ">=3.5"
 
 [[package]]
-category = "dev"
-description = "Run a subprocess in a pseudo terminal"
-marker = "sys_platform != \"win32\" or os_name != \"nt\""
 name = "ptyprocess"
+version = "0.7.0"
+description = "Run a subprocess in a pseudo terminal"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.7.0"
 
 [[package]]
+name = "pure-eval"
+version = "0.2.2"
+description = "Safely evaluate AST nodes without side effects"
 category = "dev"
-description = "library with cross-python path, ini-parsing, io, code, log facilities"
+optional = false
+python-versions = "*"
+
+[package.extras]
+tests = ["pytest"]
+
+[[package]]
 name = "py"
+version = "1.11.0"
+description = "library with cross-python path, ini-parsing, io, code, log facilities"
+category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "1.10.0"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [[package]]
-category = "main"
-description = "ASN.1 types and codecs"
 name = "pyasn1"
+version = "0.4.8"
+description = "ASN.1 types and codecs"
+category = "main"
 optional = false
 python-versions = "*"
-version = "0.4.8"
 
 [[package]]
-category = "main"
-description = "A collection of ASN.1-based protocols modules."
 name = "pyasn1-modules"
+version = "0.2.8"
+description = "A collection of ASN.1-based protocols modules."
+category = "main"
 optional = false
 python-versions = "*"
-version = "0.2.8"
 
 [package.dependencies]
 pyasn1 = ">=0.4.6,<0.5.0"
 
 [[package]]
-category = "dev"
-description = "Python style guide checker"
 name = "pycodestyle"
+version = "2.7.0"
+description = "Python style guide checker"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "2.7.0"
 
 [[package]]
-category = "dev"
-description = "C parser in Python"
 name = "pycparser"
+version = "2.21"
+description = "C parser in Python"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "2.20"
 
 [[package]]
-category = "main"
-description = "Data validation and settings management using python 3.6 type hinting"
 name = "pydantic"
+version = "1.9.0"
+description = "Data validation and settings management using python 3.6 type hinting"
+category = "main"
 optional = false
 python-versions = ">=3.6.1"
-version = "1.8.1"
 
 [package.dependencies]
 typing-extensions = ">=3.7.4.3"
@@ -964,71 +1107,74 @@ dotenv = ["python-dotenv (>=0.10.4)"]
 email = ["email-validator (>=1.0.3)"]
 
 [[package]]
-category = "main"
-description = "Deprecation tooling"
 name = "pydeprecate"
+version = "0.3.1"
+description = "Deprecation tooling"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "0.3.0"
 
-[[package]]
-category = "dev"
-description = "passive checker of Python programs"
+[[package]]
 name = "pyflakes"
+version = "2.3.1"
+description = "passive checker of Python programs"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "2.3.1"
 
 [[package]]
-category = "dev"
-description = "Pygments is a syntax highlighting package written in Python."
 name = "pygments"
+version = "2.11.2"
+description = "Pygments is a syntax highlighting package written in Python."
+category = "dev"
 optional = false
 python-versions = ">=3.5"
-version = "2.9.0"
 
 [[package]]
-category = "main"
-description = "Python parsing module"
 name = "pyparsing"
+version = "3.0.7"
+description = "Python parsing module"
+category = "main"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-version = "2.4.7"
+python-versions = ">=3.6"
+
+[package.extras]
+diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
-category = "dev"
-description = "Persistent/Functional/Immutable data structures"
 name = "pyrsistent"
+version = "0.18.1"
+description = "Persistent/Functional/Immutable data structures"
+category = "dev"
 optional = false
-python-versions = ">=3.5"
-version = "0.17.3"
+python-versions = ">=3.7"
 
 [[package]]
-category = "dev"
-description = "A poor man's debugger for Python."
 name = "pysnooper"
+version = "1.1.0"
+description = "A poor man's debugger for Python."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.4.3"
 
 [package.extras]
 tests = ["pytest"]
 
 [[package]]
-category = "dev"
-description = "pytest: simple powerful testing with Python"
 name = "pytest"
+version = "6.2.5"
+description = "pytest: simple powerful testing with Python"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "6.2.4"
 
 [package.dependencies]
-atomicwrites = ">=1.0"
+atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
 attrs = ">=19.2.0"
-colorama = "*"
+colorama = {version = "*", markers = "sys_platform == \"win32\""}
 iniconfig = "*"
 packaging = "*"
-pluggy = ">=0.12,<1.0.0a1"
+pluggy = ">=0.12,<2.0"
 py = ">=1.8.2"
 toml = "*"
 
@@ -1036,280 +1182,336 @@ toml = "*"
 testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]
 
 [[package]]
-category = "dev"
-description = "pytest plugin for test data directories and files"
 name = "pytest-datadir"
+version = "1.3.1"
+description = "pytest plugin for test data directories and files"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "1.3.1"
 
 [package.dependencies]
 pytest = ">=2.7.0"
 
 [[package]]
-category = "dev"
-description = "Extensions to the standard Python datetime module"
 name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "dev"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
-version = "2.8.1"
 
 [package.dependencies]
 six = ">=1.5"
 
 [[package]]
-category = "main"
-description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 name = "pytorch-lightning"
+version = "1.5.10"
+description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "1.3.0"
 
 [package.dependencies]
-PyYAML = ">=5.1,<=5.4.1"
+fsspec = {version = ">=2021.05.0,<2021.06.0 || >2021.06.0", extras = ["http"]}
 future = ">=0.17.1"
 numpy = ">=1.17.2"
-packaging = "*"
-pyDeprecate = "0.3.0"
-tensorboard = ">=2.2.0,<2.5.0 || >2.5.0"
-torch = ">=1.4"
-torchmetrics = ">=0.2.0"
+packaging = ">=17.0"
+pyDeprecate = "0.3.1"
+PyYAML = ">=5.1"
+tensorboard = ">=2.2.0"
+torch = ">=1.7"
+torchmetrics = ">=0.4.1"
 tqdm = ">=4.41.0"
-
-[package.dependencies.fsspec]
-extras = ["http"]
-version = ">=2021.4.0"
+typing-extensions = "*"
 
 [package.extras]
-all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
-cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
-cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse (>=3.11.1)"]
-dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"]
-examples = ["torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
-extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse (>=3.11.1)"]
-loggers = ["neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"]
-test = ["coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"]
+all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4,<5.0.0)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)", "neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0,<6.3)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.920)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas", "torchvision (>=0.8)", "gym (>=0.17.0)", "ipython"]
+cpu = ["matplotlib (>3.1)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4,<5.0.0)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)", "neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0,<6.3)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.920)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas", "torchvision (>=0.8)", "gym (>=0.17.0)", "ipython"]
+cpu-extra = ["matplotlib (>3.1)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4,<5.0.0)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)"]
+dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4,<5.0.0)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)", "neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0,<6.3)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.920)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas"]
+examples = ["torchvision (>=0.8)", "gym (>=0.17.0)", "ipython"]
+extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "torchtext (>=0.8)", "omegaconf (>=2.0.5)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.0.4,<5.0.0)", "gcsfs (>=2021.5.0)", "rich (>=10.2.2)"]
+loggers = ["neptune-client (>=0.10.0)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"]
+test = ["coverage (>5.2.0,<6.3)", "codecov (>=2.1)", "pytest (>=6.0)", "pytest-rerunfailures (>=10.2)", "twine (==3.2)", "mypy (>=0.920)", "flake8 (>=3.9.2)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "onnxruntime", "pandas"]
 
 [[package]]
-category = "dev"
-description = "Python for Window Extensions"
-marker = "sys_platform == \"win32\""
 name = "pywin32"
+version = "303"
+description = "Python for Window Extensions"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "300"
 
 [[package]]
-category = "dev"
-description = "Pseudo terminal support for Windows from Python."
-marker = "os_name == \"nt\""
 name = "pywinpty"
+version = "2.0.2"
+description = "Pseudo terminal support for Windows from Python."
+category = "dev"
 optional = false
-python-versions = "*"
-version = "1.0.1"
+python-versions = ">=3.6"
 
 [[package]]
-category = "main"
-description = "YAML parser and emitter for Python"
 name = "pyyaml"
+version = "6.0"
+description = "YAML parser and emitter for Python"
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
-version = "5.4.1"
+python-versions = ">=3.6"
 
 [[package]]
-category = "dev"
-description = "Python bindings for 0MQ"
 name = "pyzmq"
+version = "22.3.0"
+description = "Python bindings for 0MQ"
+category = "dev"
 optional = false
 python-versions = ">=3.6"
-version = "22.0.3"
 
 [package.dependencies]
-cffi = "*"
-py = "*"
+cffi = {version = "*", markers = "implementation_name == \"pypy\""}
+py = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
-category = "main"
-description = "Python HTTP for Humans."
 name = "requests"
+version = "2.27.1"
+description = "Python HTTP for Humans."
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "2.25.1"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-chardet = ">=3.0.2,<5"
-idna = ">=2.5,<3"
+charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
+idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
 urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
-security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
-socks = ["PySocks (>=1.5.6,<1.5.7 || >1.5.7)", "win-inet-pton"]
+socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
 [[package]]
-category = "main"
-description = "OAuthlib authentication support for Requests."
 name = "requests-oauthlib"
+version = "1.3.1"
+description = "OAuthlib authentication support for Requests."
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-version = "1.3.0"
 
 [package.dependencies]
 oauthlib = ">=3.0.0"
 requests = ">=2.0.0"
 
 [package.extras]
-rsa = ["oauthlib (>=3.0.0)"]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
-category = "main"
-description = "Pure-Python RSA implementation"
-marker = "python_version >= \"3.6\""
 name = "rsa"
+version = "4.8"
+description = "Pure-Python RSA implementation"
+category = "main"
 optional = false
-python-versions = ">=3.5, <4"
-version = "4.7.2"
+python-versions = ">=3.6,<4"
 
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
 [[package]]
-category = "dev"
-description = "Send file to trash natively under Mac OS X, Windows and Linux."
 name = "send2trash"
+version = "1.8.0"
+description = "Send file to trash natively under Mac OS X, Windows and Linux."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "1.5.0"
+
+[package.extras]
+nativelib = ["pyobjc-framework-cocoa", "pywin32"]
+objc = ["pyobjc-framework-cocoa"]
+win32 = ["pywin32"]
+
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+description = "the blessed package to manage your versions by scm tags"
+category = "dev"
+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]]
-category = "main"
-description = "Python 2 and 3 compatibility utilities"
 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.*"
-version = "1.16.0"
 
 [[package]]
-category = "main"
-description = "TensorBoard lets you watch Tensors Flow"
+name = "stack-data"
+version = "0.2.0"
+description = "Extract data from python stack frames and tracebacks for informative displays"
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+asttokens = "*"
+executing = "*"
+pure-eval = "*"
+
+[package.extras]
+tests = ["pytest", "typeguard", "pygments", "littleutils", "cython"]
+
+[[package]]
 name = "tensorboard"
+version = "2.8.0"
+description = "TensorBoard lets you watch Tensors Flow"
+category = "main"
 optional = false
-python-versions = ">= 2.7, != 3.0.*, != 3.1.*"
-version = "2.4.1"
+python-versions = ">=3.6"
 
 [package.dependencies]
 absl-py = ">=0.4"
-google-auth = ">=1.6.3,<2"
+google-auth = ">=1.6.3,<3"
 google-auth-oauthlib = ">=0.4.1,<0.5"
 grpcio = ">=1.24.3"
 markdown = ">=2.6.8"
 numpy = ">=1.12.0"
 protobuf = ">=3.6.0"
 requests = ">=2.21.0,<3"
-setuptools = ">=41.0.0"
-six = ">=1.10.0"
+tensorboard-data-server = ">=0.6.0,<0.7.0"
 tensorboard-plugin-wit = ">=1.6.0"
 werkzeug = ">=0.11.15"
 
-[package.dependencies.wheel]
-python = ">=3"
-version = ">=0.26"
-
 [[package]]
+name = "tensorboard-data-server"
+version = "0.6.1"
+description = "Fast data loading for TensorBoard"
 category = "main"
-description = "What-If Tool TensorBoard plugin."
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
 name = "tensorboard-plugin-wit"
+version = "1.8.1"
+description = "What-If Tool TensorBoard plugin."
+category = "main"
 optional = false
 python-versions = "*"
-version = "1.8.0"
 
 [[package]]
-category = "dev"
-description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 name = "terminado"
+version = "0.13.1"
+description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
+category = "dev"
 optional = false
-python-versions = ">=3.6"
-version = "0.9.4"
+python-versions = ">=3.7"
 
 [package.dependencies]
-ptyprocess = "*"
-pywinpty = ">=0.5"
+ptyprocess = {version = "*", markers = "os_name != \"nt\""}
+pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
 tornado = ">=4"
 
 [package.extras]
 test = ["pytest"]
 
 [[package]]
-category = "dev"
-description = "Test utilities for code working with files and commands"
 name = "testpath"
+version = "0.5.0"
+description = "Test utilities for code working with files and commands"
+category = "dev"
 optional = false
-python-versions = "*"
-version = "0.4.4"
+python-versions = ">= 3.5"
 
 [package.extras]
-test = ["pathlib2"]
+test = ["pytest", "pathlib2"]
 
 [[package]]
-category = "dev"
-description = "Python Library for Tom's Obvious, Minimal Language"
 name = "toml"
+version = "0.10.2"
+description = "Python Library for Tom's Obvious, Minimal Language"
+category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
-version = "0.10.2"
 
 [[package]]
-category = "main"
-description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+name = "tomli"
+version = "2.0.1"
+description = "A lil' TOML parser"
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
 name = "torch"
+version = "1.10.2"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
 optional = false
 python-versions = ">=3.6.2"
-version = "1.8.1"
 
 [package.dependencies]
-numpy = "*"
 typing-extensions = "*"
 
 [[package]]
-category = "main"
-description = "PyTorch native Metrics"
 name = "torchmetrics"
+version = "0.7.2"
+description = "PyTorch native Metrics"
+category = "main"
 optional = false
 python-versions = ">=3.6"
-version = "0.3.1"
 
 [package.dependencies]
-numpy = "*"
+numpy = ">=1.17.2"
 packaging = "*"
+pyDeprecate = ">=0.3.0,<0.4.0"
 torch = ">=1.3.1"
 
+[package.extras]
+all = ["sphinx (>=4.0)", "sphinxcontrib-mockautodoc", "sphinx-copybutton (>=0.3)", "nbsphinx (>=0.8)", "myst-parser", "sphinx-paramlinks (>=0.5.1)", "pandoc (>=1.0)", "lpips", "scipy", "torch-fidelity", "torchvision", "pytorch-lightning (>=1.3)", "cloudpickle (>=1.3)", "check-manifest", "pytest-cov (>2.10)", "coverage (>5.2)", "codecov (>=2.1)", "pre-commit (>=1.0)", "sacrebleu (>=2.0.0)", "mypy (>=0.790)", "scikit-image (>0.17.1)", "bert-score (==0.3.10)", "pystoi", "pesq (>=0.0.3)", "fast-bss-eval (>=0.1.0)", "torchvision (>=0.8)", "sphinx-togglebutton (>=0.2)", "sphinx-autodoc-typehints (>=1.0)", "pytorch-lightning (>=1.1)", "docutils (>=0.16)", "sphinxcontrib-fulltoc (>=1.0)", "scikit-learn (>=0.24)", "pytest (>=6.0.0,<7.0.0)", "phmdoctest (>=1.1.1)", "pytorch-msssim", "twine (>=3.2)", "pypesq", "jiwer (>=2.3.0)", "transformers (>=4.0)", "pytest-doctestplus (>=0.9.0)", "rouge-score (>=0.0.4)", "mir-eval (>=0.6)", "regex (>=2021.9.24)", "tqdm (>=4.41.0)", "nltk (>=3.6)"]
+audio = ["pystoi", "pesq (>=0.0.3)", "fast-bss-eval (>=0.1.0)"]
+detection = ["torchvision (>=0.8)"]
+docs = ["sphinx-togglebutton (>=0.2)", "sphinx-autodoc-typehints (>=1.0)", "pytorch-lightning (>=1.1)", "docutils (>=0.16)", "sphinxcontrib-fulltoc (>=1.0)", "sphinx (>=4.0)", "sphinxcontrib-mockautodoc", "sphinx-copybutton (>=0.3)", "nbsphinx (>=0.8)", "myst-parser", "sphinx-paramlinks (>=0.5.1)", "pandoc (>=1.0)"]
+image = ["lpips", "scipy", "torch-fidelity", "torchvision"]
+integrate = ["pytorch-lightning (>=1.3)"]
+test = ["cloudpickle (>=1.3)", "check-manifest", "pytest-cov (>2.10)", "coverage (>5.2)", "codecov (>=2.1)", "pre-commit (>=1.0)", "sacrebleu (>=2.0.0)", "mypy (>=0.790)", "scikit-image (>0.17.1)", "bert-score (==0.3.10)", "scikit-learn (>=0.24)", "pytest (>=6.0.0,<7.0.0)", "phmdoctest (>=1.1.1)", "pytorch-msssim", "twine (>=3.2)", "pypesq", "jiwer (>=2.3.0)", "transformers (>=4.0)", "pytest-doctestplus (>=0.9.0)", "rouge-score (>=0.0.4)", "mir-eval (>=0.6)"]
+text = ["regex (>=2021.9.24)", "tqdm (>=4.41.0)", "nltk (>=3.6)"]
+
 [[package]]
-category = "dev"
-description = "Debug PyTorch code using PySnooper."
 name = "torchsnooper"
+version = "0.8"
+description = "Debug PyTorch code using PySnooper."
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.8"
 
 [package.dependencies]
 numpy = "*"
 pysnooper = ">=0.1.0"
 
 [[package]]
-category = "dev"
-description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 name = "tornado"
+version = "6.1"
+description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
+category = "dev"
 optional = false
 python-versions = ">= 3.5"
-version = "6.1"
 
 [[package]]
-category = "main"
-description = "Fast, Extensible Progress Meter"
 name = "tqdm"
+version = "4.62.3"
+description = "Fast, Extensible Progress Meter"
+category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
-version = "4.60.0"
+
+[package.dependencies]
+colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
 dev = ["py-make (>=0.1.0)", "twine", "wheel"]
@@ -1317,140 +1519,175 @@ notebook = ["ipywidgets (>=6)"]
 telegram = ["requests"]
 
 [[package]]
-category = "dev"
-description = "Traitlets Python configuration system"
 name = "traitlets"
+version = "5.1.1"
+description = "Traitlets Python configuration system"
+category = "dev"
 optional = false
 python-versions = ">=3.7"
-version = "5.0.5"
-
-[package.dependencies]
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 [package.extras]
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 [[package]]
-category = "main"
-description = "Backported and Experimental Type Hints for Python 3.5+"
 name = "typing-extensions"
+version = "4.1.1"
+description = "Backported and Experimental Type Hints for Python 3.6+"
+category = "main"
 optional = false
-python-versions = "*"
-version = "3.10.0.0"
+python-versions = ">=3.6"
 
 [[package]]
-category = "main"
-description = "HTTP library with thread-safe connection pooling, file post, and more."
 name = "urllib3"
+version = "1.26.8"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
-version = "1.26.4"
 
 [package.extras]
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 [[package]]
-category = "dev"
-description = "Measures the displayed width of unicode strings in a terminal"
 name = "wcwidth"
+version = "0.2.5"
+description = "Measures the displayed width of unicode strings in a terminal"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.2.5"
 
 [[package]]
-category = "dev"
-description = "Character encoding aliases for legacy web content"
 name = "webencodings"
+version = "0.5.1"
+description = "Character encoding aliases for legacy web content"
+category = "dev"
 optional = false
 python-versions = "*"
-version = "0.5.1"
 
 [[package]]
-category = "main"
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 name = "werkzeug"
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+description = "The comprehensive WSGI web application library."
+category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-version = "1.0.1"
+python-versions = ">=3.6"
 
 [package.extras]
-dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
 watchdog = ["watchdog"]
 
 [[package]]
+name = "yarl"
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+description = "Yet another URL library"
 category = "main"
-description = "A built-package format for Python"
-marker = "python_version >= \"3\""
-name = "wheel"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
-version = "0.36.2"
+python-versions = ">=3.6"
 
-[package.extras]
-test = ["pytest (>=3.0.0)", "pytest-cov"]
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
 
 [[package]]
+name = "zipp"
+version = "3.7.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
-description = "Yet another URL library"
-name = "yarl"
 optional = false
-python-versions = ">=3.6"
-version = "1.6.3"
+python-versions = ">=3.7"
 
-[package.dependencies]
-idna = ">=2.0"
-multidict = ">=4.0"
+[package.extras]
+docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "jaraco.itertools", "func-timeout", "pytest-black (>=0.3.7)", "pytest-mypy"]
 
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+    {file = "yarl-1.7.2-cp39-cp39-win_amd64.whl", hash = "sha256:797c2c412b04403d2da075fb93c123df35239cd7b4cc4e0cd9e5839b73f52c58"},
+    {file = "yarl-1.7.2.tar.gz", hash = "sha256:45399b46d60c253327a460e99856752009fcee5f5d3c80b2f7c0cae1c38d56dd"},
+]
+zipp = [
+    {file = "zipp-3.7.0-py3-none-any.whl", hash = "sha256:b47250dd24f92b7dd6a0a8fc5244da14608f3ca90a5efcd37a3b1642fac9a375"},
+    {file = "zipp-3.7.0.tar.gz", hash = "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d"},
 ]
diff --git a/pyproject.toml b/pyproject.toml
index bfca9d6..a43bc82 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "hiraishin"
-version = "0.1.0"
+version = "0.2.0rc1"
 description = "A thin PyTorch-Lightning wrapper for building configuration-based DL pipelines with Hydra."
 readme = "README.md"
 authors = ["So Uchida <s.aiueo32@gmail.com>"]
@@ -8,15 +8,15 @@ license = "Apache 2.0"
 
 [tool.poetry.dependencies]
 python = "^3.8"
-pytorch-lightning = "^1.0.8"
-hydra-core = "1.1.0.dev5"
-overrides = "^3.1.0"
-click = "^7.1.2"
+pytorch-lightning = "^1.5.10"
+hydra-core = "1.1.1"
 pydantic = "^1.8.1"
+click = "^8.0.0"
+overrides = "^3.1.0"
 
 [tool.poetry.dev-dependencies]
 flake8 = "^3.8.4"
-autopep8 = "^1.5.4"
+black = "^22.1.0"
 pytest = "^6.1.2"
 pytest-datadir = "^1.3.1"
 TorchSnooper = "^0.8"

From 1cec86ee8d263c13ee4574cf699b150ccea44dc9 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 26 Feb 2022 14:27:51 +0000
Subject: [PATCH 02/19] BREAKING CHANGE

---
 src/hiraishin/cli.py               |  61 ++---
 src/hiraishin/models/__init__.py   |   4 +-
 src/hiraishin/models/base_model.py | 407 ++++++++++++++---------------
 src/hiraishin/models/utils.py      |  95 +++++++
 src/hiraishin/schema/__init__.py   |  31 ++-
 src/hiraishin/schema/common.py     |  25 +-
 src/hiraishin/schema/model.py      |  56 ++--
 src/hiraishin/scripts/__init__.py  |   0
 src/hiraishin/scripts/train.py     |  24 --
 src/hiraishin/scripts/utils.py     |   5 -
 src/hiraishin/utils.py             |  39 ++-
 11 files changed, 401 insertions(+), 346 deletions(-)
 create mode 100644 src/hiraishin/models/utils.py
 delete mode 100644 src/hiraishin/scripts/__init__.py
 delete mode 100644 src/hiraishin/scripts/train.py
 delete mode 100644 src/hiraishin/scripts/utils.py

diff --git a/src/hiraishin/cli.py b/src/hiraishin/cli.py
index 7ea88ce..d568311 100644
--- a/src/hiraishin/cli.py
+++ b/src/hiraishin/cli.py
@@ -1,14 +1,9 @@
 import importlib
-import sys
-from os.path import relpath, dirname
-from pathlib import Path
+from typing import Type
 
 import click
-from omegaconf import OmegaConf
-from hydra.experimental import compose, initialize
 
 from hiraishin.models import BaseModel
-from hiraishin.scripts.train import app
 
 
 @click.group()
@@ -17,37 +12,25 @@ def cmd() -> None:
 
 
 @cmd.command()
-@click.option('--config_path', type=str, default='config')
-@click.option('--config_name', type=str, default='train')
-@click.option('--overrides', type=str, default='')
-def train(config_path: str, config_name: str, overrides: str) -> None:
-
-    initialize(config_path=relpath(config_path, dirname(__file__)))
-
-    config = compose(config_name, overrides=overrides.split(), return_hydra_config=True)
-
-    OmegaConf.resolve(config)
-    OmegaConf.set_struct(config, False)
-    config_hydra = config.pop('hydra')
-
-    run_dir = Path(config_hydra.run.dir)
-    run_dir.mkdir(exist_ok=True, parents=True)
-
-    app(config)
-
-
-@cmd.command()
-@click.argument('model_class', type=str)
-@click.option('--output_dir', type=str, default='./config')
-@click.option('--with_kwargs', is_flag=True, default=False)
-def configen(model_class: str, output_dir: str, with_kwargs: bool):
-
-    sys.path.append(str(Path.cwd()))
-
-    *modules, cls = model_class.split('.')
-    Model: BaseModel = getattr(importlib.import_module('.'.join(modules)), cls)
-    Model.configen(output_dir, with_kwargs)
-
-
-if __name__ == '__main__':
+@click.argument(
+    "model_class",
+    type=str,
+)
+@click.option(
+    "--output_dir",
+    type=click.Path(exists=True, file_okay=False),
+    default="./config",
+)
+@click.option(
+    "--with_kwargs",
+    is_flag=True,
+    default=False,
+)
+def generate(model_class: str, output_dir: str, with_kwargs: bool):
+    *modules, cls = model_class.split(".")
+    Model: Type[BaseModel] = getattr(importlib.import_module(".".join(modules)), cls)
+    Model.generate(output_dir, with_kwargs)
+
+
+if __name__ == "__main__":
     cmd()
diff --git a/src/hiraishin/models/__init__.py b/src/hiraishin/models/__init__.py
index ffddff3..21fb543 100644
--- a/src/hiraishin/models/__init__.py
+++ b/src/hiraishin/models/__init__.py
@@ -1,5 +1,3 @@
 from .base_model import BaseModel
 
-__all__ = (
-    BaseModel.__name__,
-)
+__all__ = (BaseModel.__name__,)
diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 50cb442..b439ca6 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -1,331 +1,316 @@
-import inspect
 import itertools
-import re
-from collections import OrderedDict
 from abc import ABCMeta
 from logging import getLogger
-from typing import Any, Dict, List
 from pathlib import Path
+from typing import Any, Dict, List, Tuple, Union, Callable
 
-import torch
 import torch.nn as nn
-import torch.nn.init as init
 import torch.optim as optim
 from hydra.utils import instantiate
 from omegaconf import OmegaConf, DictConfig
 from overrides import final
 from pytorch_lightning import LightningModule
 
-from hiraishin.schema import ModelConfig
-from hiraishin.utils import get_arguments, get_class_name_with_shortest_module
+from hiraishin import schema
+from hiraishin.models.utils import (
+    BasicWeightInitializer,
+    load_weights,
+    get_arguments,
+    get_class_name_with_shortest_module,
+)
 
 logger = getLogger(__name__)
 
-try:
-    import hydra
-    CWD = Path(hydra.utils.get_original_cwd()).resolve()
-except (ImportError, ValueError):
-    CWD = Path.cwd()
-
-
-def init_weights(net: nn.Module, init_type: str = 'xavier_uniform', init_gain: float = 1.) -> None:
-
-    def init_func(m: nn.Module):
-        name = m.__class__.__name__
-        if hasattr(m, 'weight') and ('Conv' in name or 'Linear' in name):
-            if init_type == 'normal':
-                init.normal_(m.weight.data, 0.0, init_gain)
-            elif init_type == 'xavier_normal':
-                init.xavier_normal_(m.weight.data, gain=init_gain)
-            elif init_type == 'xavier_uniform':
-                init.xavier_uniform_(m.weight.data, gain=init_gain)
-            elif init_type == 'kaiming':
-                init.kaiming_normal_(m.weight.data, a=0, mode='fan_in')
-            elif init_type == 'orthogonal':
-                init.orthogonal_(m.weight.data, gain=init_gain)
-            else:
-                raise NotImplementedError(f'initialization method [{init_type}] is not implemented')
-            if hasattr(m, 'bias') and m.bias is not None:
-                init.constant_(m.bias.data, 0.0)
-        elif 'BatchNorm2d' in name:
-            init.normal_(m.weight.data, 1.0, init_gain)
-            init.constant_(m.bias.data, 0.0)
-
-    net.apply(init_func)
-    logger.info(f'Weights have been initialized with (type={init_type}, gain={init_gain}).')
-
-
-def load_weights(net: nn.Module, weight_path: str, net_name: str = None):
-    if (weight_path := CWD.joinpath(weight_path)).exists():
-        if weight_path.suffix == '.pth':
-            state_dict = torch.load(weight_path, map_location=torch.device('cpu'))
-            net.load_state_dict(torch.load(weight_path), strict=False)
-        if weight_path.suffix == '.ckpt':
-            assert net_name is not None, 'net_name is required to load weights from checkpoints.'
-            state_dict = torch.load(weight_path, map_location=torch.device('cpu'))['state_dict']
-            state_dict = OrderedDict((k, v) for k, v in state_dict.items() if k.startswith(net_name))
-            state_dict = OrderedDict((k.replace(net_name + '.', ''), v) for k, v in state_dict.items())
-            net.load_state_dict(state_dict)
-        logger.info(f'Weights have been loaded from {str(weight_path)}.')
-    else:
-        logger.warn(f'{str(weight_path)} does not exists.')
-
 
 class BaseModel(LightningModule, metaclass=ABCMeta):
-
-    @final
-    def initialize(self, config: ModelConfig.ConfigBody):
-        """calls __init__() of BaseModel with sub-module information.
-        """
-        super(self.__class__, self).__init__(self.__class__._target_(), config)
-
     @final
     @classmethod
     def _target_(cls) -> str:
-        """Get the shortest module name that is importable from the current directory.
-        """
+        """Get the shortest module name that is importable from the current directory."""
         return get_class_name_with_shortest_module(cls)
 
-    def __init__(self, _target_: str, config: ModelConfig.ConfigBody):
-
-        assert (caller := inspect.stack()[1]).function == 'initialize' or caller.filename == __file__,\
-            f'The constructor of BaseModel can only be called through initialize() from the subclass {_target_}.'
-
+    def __init__(self, config: DictConfig) -> None:
         super().__init__()
 
-        self.config = config
+        self.config = schema.ModelConfigBody(**OmegaConf.to_container(config))
+
         self.save_hyperparameters()
+        self.hparams["_target_"] = self._target_()
+        self.hparams["_recursive_"] = False
+
+        self.register_components()
+        self.validate()
 
+    @final
+    def register_components(self) -> None:
+        # Firstly, set non-reserved parameteres
+        for name, config in self.config.dict(by_alias=True).items():
+            if name in schema.ModelConfigBody.__fields__.keys():
+                # skips networks, losses and optimizers
+                continue
+            if isinstance(config, dict) and "_target_" in config:
+                # set with instantiation
+                setattr(self, name, instantiate(config))
+            else:
+                # set other parameters
+                setattr(self, name, config)
+
+        # define training components
         self.define_networks()
         self.define_losses()
         self.define_optimizers()
 
-        self.validation()
-
     @final
-    def define_networks(self):
-        for net_config in self.config.networks:
+    def define_networks(self) -> None:
+        for name, config in self.config.networks.items():
             # network definition
-            net = instantiate(net_config.args)
+            net: nn.Module = instantiate(config.args.dict(by_alias=True))
 
-            # network initialization with random weights
-            kwargs = {}
-            if 'init_type' in net_config.init and net_config.init.init_type is not None:
-                kwargs.update({'init_type': net_config.init.init_type})
-            if 'init_gain' in net_config.init and net_config.init.init_gain is not None:
-                kwargs.update({'init_gain': net_config.init.init_gain})
-            init_weights(net, **kwargs)
+            # initialize weights
+            if config.weights.initializer is not None:
+                initializer: Callable[[nn.Module], None] = instantiate(
+                    config.weights.initializer.dict(by_alias=True)
+                )
+            else:
+                # initialize with xavier_uniform_(gain=1.0) by default
+                initializer = BasicWeightInitializer(
+                    init_type="xavier_uniform",
+                    gain=1.0,
+                )
+            initializer(net)
 
             # loading pretrained models
-            if 'weight_path' in net_config.init:
-                if isinstance(net_config.init.weight_path, str):  # for whole network
-                    load_weights(net, net_config.init.weight_path, net_config.name)
-                if isinstance(net_config.init.weight_path, DictConfig):  # for partial modules
-                    for module_name, path in net_config.init.weight_path.items():
-                        if Path(path).suffix != '.pth':
-                            raise ValueError('The weights for partial modules must be pure .pth')
-                        load_weights(getattr(net, module_name), path)
-
-            # set as an attribute
-            setattr(self, net_config.name, net)
+            if isinstance(config.weights.path, Path):  # for whole network
+                load_weights(net, config.weights.path, name)
+            if isinstance(config.weights.path, dict):
+                for (
+                    mod_name,
+                    path,
+                ) in config.weights.path.items():  # for modules
+                    load_weights(getattr(net, mod_name), path)
+
+            setattr(self, name, net)
 
     @final
-    def define_losses(self):
-        for loss_config in self.config.losses:
-            setattr(self, loss_config.name, instantiate(loss_config.args))
-            if 'weight' in loss_config:
-                setattr(self, loss_config.name.replace('criterion', 'weight'), loss_config.weight)
+    def define_losses(self) -> None:
+        for name, config in self.config.losses.items():
+            criterion = instantiate(config.args.dict(by_alias=True))
+            setattr(self, name, criterion)
+            setattr(self, name.replace("criterion", "weight"), config.weight)
 
     @final
-    def define_optimizers(self):
-        for config in self.config.optimizers:
+    def define_optimizers(self) -> None:
+        for name, config in self.config.optimizers.items():
             targets: List[nn.Module] = [getattr(self, net) for net in config.params]
-            optimizer = instantiate(config.args, itertools.chain(*[net.parameters() for net in targets]))
-            setattr(self, config.name, optimizer)
+            optimizer: optim.Optimizer = instantiate(
+                config.args.dict(by_alias=True),
+                itertools.chain(*[net.parameters() for net in targets]),
+            )
+            setattr(self, name, optimizer)
 
-            if 'scheduler' in config and config.scheduler is not None:
-                scheduler = instantiate(config.scheduler.args, optimizer)
+            if config.scheduler is not None:
+                scheduler: optim.lr_scheduler._LRScheduler = instantiate(
+                    config.scheduler.args.dict(by_alias=True),
+                    optimizer=optimizer,
+                )
             else:
-                scheduler = optim.lr_scheduler.ExponentialLR(optimizer, gamma=1.)
-            setattr(self, config.name.replace('optimizer', 'scheduler'), scheduler)
+                scheduler = optim.lr_scheduler.ExponentialLR(optimizer, gamma=1.0)
+            setattr(self, name.replace("optimizer", "scheduler"), scheduler)
 
     @final
-    def define_modules(self):
-        for module_config in self.config.modules:
-            setattr(self, module_config.name, instantiate(module_config.args))
-
-    @final
-    def configure_optimizers(self):
+    def configure_optimizers(
+        self,
+    ) -> Tuple[List[optim.Optimizer], List[Dict[str, Any]]]:
         optim_list, sched_list = [], []
-        for config in self.config.optimizers:
-            optimizer = getattr(self, config.name)
+        for name, config in self.config.optimizers.items():
+            optimizer = getattr(self, name)
             optim_list.append(optimizer)
 
+            scheduler = getattr(self, name.replace("optimizer", "scheduler"))
             sched_dict = {
-                'scheduler': instantiate(config.scheduler.args, optimizer),
-                'interval': config.scheduler.interval if 'interval' in config.scheduler else 'epoch',
-                'name': f'lr/{config.name}'
+                "scheduler": scheduler,
+                "interval": config.scheduler.interval,
+                "frequency": config.scheduler.frequency,
+                "name": f"lr/{name}",
             }
-            if isinstance(sched_dict['scheduler'], optim.lr_scheduler.ReduceLROnPlateau):
-                sched_dict.update({
-                    'reduce_on_plateau': True,
-                    'monitor': config.scheduler.monitor if 'monitor' in config.scheduler else 'loss/val',
-                    'strict': config.scheduler.strict if 'strict' in config.scheduler else True
-                })
+            if isinstance(scheduler, optim.lr_scheduler.ReduceLROnPlateau):
+                sched_dict.update(
+                    {
+                        "reduce_on_plateau": True,
+                        "monitor": config.scheduler.monitor or "loss/val",
+                        "strict": config.scheduler.strict,
+                    }
+                )
             sched_list.append(sched_dict)
         return optim_list, sched_list
 
     @final
-    def validation(self):
+    def validate(self) -> None:
+        """Checks wheather annotated variables is defined correctly. Additional variables will be allowed."""
         is_valid: List[bool] = []
-        for k, v in self.__class__.__dict__.get('__annotations__').items():
+        for k, v in self.__class__.__dict__.get("__annotations__").items():
             if not hasattr(self, k):
-                logger.warning(f'class variable {k} is not initialized.')
+                logger.warning(f"class variable {k} is not initialized.")
                 is_valid.append(False)
                 continue
             if not isinstance(getattr(self, k), v):
-                logger.warning(f'type of class variable {k} is not matched with {v}')
+                logger.warning(f"type of class variable {k} is not matched with {v}")
                 is_valid.append(False)
                 continue
             is_valid.append(True)
         if all(is_valid):
-            logger.info('model initialization successed!')
+            logger.info("model initialization successed!")
         else:
-            raise ValueError('model initialization failed because of above errors.')
+            raise ValueError("model initialization failed because of above errors.")
 
     @final
     @classmethod
-    def configen(cls, output_dir: str, with_kwargs: bool = False):
+    def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> None:
+        """Gererates a configuration file from type annotations."""
 
-        from hiraishin.schema import common, model
+        annotations: Dict[str, Any] = cls.__dict__.get("__annotations__")
 
-        annotations: Dict[str, Any] = cls.__dict__.get('__annotations__')
-
-        networks: List[model.NetworkConfig] = []
+        networks: Dict[str, schema.NetworkConfig] = {}
         for name, _cls in annotations.items():
-            if 'net' not in name:
+            if "net" not in name:
                 continue
-            networks.append(
-                model.NetworkConfig(
-                    name=name,
-                    args=common.Instantiable(
-                        _target_=get_class_name_with_shortest_module(_cls),
-                        **get_arguments(_cls, with_kwargs)
-                    ),
-                    init=model.NetworkConfig.InitConfig()
-                )
+            networks.update(
+                {
+                    name: schema.NetworkConfig(
+                        args=schema.Instantiable(
+                            _target_=get_class_name_with_shortest_module(_cls),
+                            **get_arguments(_cls, with_kwargs),
+                        ),
+                        weights=schema.WeightsConfig(),
+                    )
+                }
             )
 
-        losses: List[model.LossConfig] = []
+        losses: Dict[str, schema.LossConfig] = {}
         for name, _cls in annotations.items():
-            if 'criterion' not in name:
+            if "criterion" not in name:
                 continue
-            losses.append(
-                model.LossConfig(
-                    name=name,
-                    args=common.Instantiable(
-                        _target_=get_class_name_with_shortest_module(_cls),
-                        **get_arguments(_cls, with_kwargs)
-                    ),
-                    weight=1.
-                )
+            losses.update(
+                {
+                    name: schema.LossConfig(
+                        args=schema.Instantiable(
+                            _target_=get_class_name_with_shortest_module(_cls),
+                            **get_arguments(_cls, with_kwargs),
+                        ),
+                        weight=1.0,
+                    )
+                }
             )
 
-        optimizers: List[model.OptimizerConfig] = []
+        optimizers: List[schema.OptimizerConfig] = {}
         for name in annotations.keys():
-            if 'scheduler' not in name:
+            if "scheduler" not in name:
                 continue
             # check wheather the scheduler has the corresponding optimizer
-            if name.replace('scheduler', 'optimizer') not in annotations:
-                raise ValueError('Scheduler must not be defined alone.')
+            if name.replace("scheduler", "optimizer") not in annotations:
+                raise ValueError("Scheduler must not be defined alone.")
         for name, _cls in annotations.items():
-            if 'optimizer' not in name:
+            if "optimizer" not in name:
                 continue
             # scheduler
-            if name.replace('optimizer', 'scheduler') in annotations:
-                sched_cls = annotations.get(name.replace('optimizer', 'scheduler'))
-                scheduler = model.OptimizerConfig.SchedulerConfig(
-                    args=common.Instantiable(
+            if name.replace("optimizer", "scheduler") in annotations:
+                sched_cls = annotations.get(name.replace("optimizer", "scheduler"))
+                scheduler = schema.SchedulerConfig(
+                    args=schema.Instantiable(
                         _target_=get_class_name_with_shortest_module(sched_cls),
-                        **get_arguments(sched_cls, with_kwargs)
+                        **get_arguments(sched_cls, with_kwargs),
                     )
                 )
 
             else:
                 scheduler = None
             # optimizer
-            optimizers.append(
-                model.OptimizerConfig(
-                    name=name,
-                    args=common.Instantiable(
-                        _target_=get_class_name_with_shortest_module(_cls),
-                        **get_arguments(_cls, with_kwargs)
-                    ),
-                    params=['???'],
-                    scheduler=scheduler
-                )
+            optimizers.update(
+                {
+                    name: schema.OptimizerConfig(
+                        args=schema.Instantiable(
+                            _target_=get_class_name_with_shortest_module(_cls),
+                            **get_arguments(_cls, with_kwargs),
+                        ),
+                        params=["???"],
+                        scheduler=scheduler,
+                    )
+                }
             )
 
         if len(optimizers) > 1:
-            print('The order of optimizer configuration must match the order of optimization.')
-            print('Current order:')
-            for i, optimizer in enumerate(optimizers):
-                print(f'\t{i}: {optimizer.name}')
+            print(
+                "The order of optimizer configuration must match the order of optimization."
+            )
+            print("Current order:")
+            for i, optimizer_name in enumerate(optimizers.keys()):
+                print(f"\t{i}: {optimizer_name}")
 
-            print('Proceed? [Y/n]: ', end='')
+            print("Proceed? [Y/n]: ", end="")
             while True:
-                if (proceed := input()) in ['', 'Y', 'n']:
+                proceed = input()
+                if proceed in ["", "Y", "n"]:
                     break
-                print('Invalid input!')
-                print('Proceed? [Y/n]: ', end='')
+                print("Invalid input!")
+                print("Proceed? [Y/n]: ", end="")
 
-            if proceed == 'n':
+            if proceed == "n":
                 indices = list(range(len(optimizers)))
                 example_str = str(indices).lstrip("[").rstrip("]").replace(" ", "")
-                print(f'Input order (example: {example_str}): ', end='')
                 while True:
                     try:
-                        order_str = f'[{input()}]'
+                        print(f"Input order (example: {example_str}): ", end="")
+                        order_str = f"[{input()}]"
                         order = eval(order_str)
-                        if sorted(order) != indices:
+                        if set(order) != set(indices):
                             raise ValueError
-                        optimizers = [optimizers[o] for o in order]
+                        optimizers = {
+                            list(optimizers.keys())[o]: list(optimizers.values())[o]
+                            for o in order
+                        }
                         break
                     except Exception:
-                        print('Invalid input!')
-                        print(f'Input order (example: {example_str}): ', end='')
+                        print("Invalid input!")
                         pass
 
-        modules: List[model.ModuleConfig] = []
+        modules: Dict[str, schema.ModuleConfig] = {}
         for name, _cls in annotations.items():
-            if any(prefix in name for prefix in ['net', 'criterion', 'optimizer', 'scheduler']):
+            if any(
+                prefix in name
+                for prefix in ["net", "criterion", "optimizer", "scheduler"]
+            ):
                 continue
-            modules.append(
-                model.ModuleConfig(
-                    name=name,
-                    args=common.Instantiable(
-                        _target_=get_class_name_with_shortest_module(_cls),
-                        **get_arguments(_cls)
-                    ),
+            elif _cls in (int, str, float, dict):
+                if hasattr(cls, name):
+                    modules.update({name: getattr(cls, name)})
+                else:
+                    if _cls == dict:
+                        modules.update({name: {"???": "???"}})
+                    else:
+                        modules.update({name: "???"})
+            else:
+                modules.update(
+                    {
+                        name: schema.Instantiable(
+                            _target_=get_class_name_with_shortest_module(_cls),
+                            **get_arguments(_cls, with_kwargs),
+                        ),
+                    }
                 )
-            )
 
-        m = ModelConfig(
+        m = schema.ModelConfig(
             _target_=cls._target_(),
             _recursive_=False,
-            config=ModelConfig.ConfigBody(
+            config=schema.ModelConfigBody(
                 networks=networks,
                 losses=losses,
                 optimizers=optimizers,
-                modules=modules if len(modules) > 0 else None,
-            )
+                **modules,
+            ),
         ).dict(by_alias=True)
 
-        camel2snake = r'(?<!^)(?=[A-Z])'
-        cls_name_snake = re.sub(camel2snake, '_', cls.__name__.strip("Model")).lower()
-
-        filename = Path(output_dir).joinpath(f'model/{cls_name_snake}.yaml')
+        filename = Path(output_dir).joinpath(f"model/{cls.__name__}.yaml")
         filename.parent.mkdir(parents=True, exist_ok=True)
 
         OmegaConf.save(OmegaConf.create(m), filename)
-        print(f'The config has been generated! --> {filename}')
+        print(f"The config has been generated! --> {filename}")
diff --git a/src/hiraishin/models/utils.py b/src/hiraishin/models/utils.py
new file mode 100644
index 0000000..c60e447
--- /dev/null
+++ b/src/hiraishin/models/utils.py
@@ -0,0 +1,95 @@
+import importlib
+import inspect
+from collections import OrderedDict
+from logging import getLogger
+from pathlib import Path
+from typing import Any, Dict, Optional, Type
+
+import hydra
+import torch
+import torch.nn as nn
+import torch.nn.init as init
+import torch.optim as optim
+
+logger = getLogger(__name__)
+
+try:
+    CWD = Path(hydra.utils.get_original_cwd()).resolve()
+except ValueError:
+    CWD = Path.cwd()
+
+
+def get_class_name_with_shortest_module(cls: Type[Any]) -> str:
+    """Get the shortest class name."""
+    _target_ = cls.__module__ + "." + cls.__name__
+    for i in range(len(cls.__module__.split("."))):
+        try:
+            module_name = ".".join(cls.__module__.split(".")[: -(i + 1)])
+            _ = getattr(importlib.import_module(module_name), cls.__name__)
+            _target_ = module_name + "." + cls.__name__
+        except (AttributeError, ValueError):
+            pass
+    return _target_
+
+
+def get_arguments(cls: Type[Any], with_kwargs: bool = False) -> Dict[str, Any]:
+    """Get the `__init__` parameters of the given class. The positional arguments will be filled with \"???\".
+    If `with_kwargs == True`, the keyword arguments will be output with the default values."""
+    params = inspect.signature(cls).parameters
+    if with_kwargs:
+        params = {
+            k: "???" if v.default is inspect._empty else v.default
+            for k, v in params.items()
+        }
+    else:
+        params = {k: "???" for k, v in params.items() if v.default is inspect._empty}
+
+    if issubclass(cls, optim.Optimizer):
+        _ = params.pop("params")
+    if issubclass(cls, optim.lr_scheduler._LRScheduler):
+        _ = params.pop("optimizer")
+
+    return params
+
+
+def load_weights(net: nn.Module, path: str, net_name: Optional[str] = None) -> None:
+    """Loads weights from the given path whose extension is `.ckpt` or `.pth`. For `.ckpt`, net_name is required."""
+    if path.suffix == ".pth":
+        net.load_state_dict(torch.load(CWD.joinpath(path)), strict=False)
+    elif path.suffix == ".ckpt":
+        if net_name is None:
+            raise ValueError("net_name must be specified for .ckpt loading.")
+        state_dict = OrderedDict(
+            (k.replace(f"{net_name}.", ""), v)
+            for k, v in torch.load(CWD.joinpath(path))["state_dict"].items()
+            if k.startswith(net_name)
+        )
+        net.load_state_dict(state_dict)
+    else:
+        raise ValueError(".ckpt or .pth are allowed.")
+    logger.info(f"[{net.__class__.__name__}] have been loaded from {str(path)}.")
+
+
+class BasicWeightInitializer:
+    """Initializes the weights whose class names contain \"Conv\" or \"Linear\" with built-in initializers of PyTorch."""
+
+    def __init__(self, init_type: str = "xavier_uniform", **kwargs) -> None:
+        self.init_type = init_type
+        self.kwargs: Dict[str, Any] = kwargs
+
+    def init_fn(self, m: nn.Module) -> None:
+        name = m.__class__.__name__
+        if hasattr(m, "weight") and ("Conv" in name or "Linear" in name):
+            fn = getattr(init, f"{self.init_type}_")
+            fn(m.weight.data, **self.kwargs)
+            if hasattr(m, "bias") and m.bias is not None:
+                init.constant_(m.bias.data, 0.0)
+        elif "BatchNorm2d" in name:
+            init.normal_(m.weight.data, 0.0, 1.0)
+            init.constant_(m.bias.data, 0.0)
+
+    def __call__(self, net: nn.Module) -> None:
+        net.apply(self.init_fn)
+        logger.info(
+            f"{net.__class__.__name__} was initialized with {self.__class__.__name__}."
+        )
diff --git a/src/hiraishin/schema/__init__.py b/src/hiraishin/schema/__init__.py
index c516567..0082c8f 100644
--- a/src/hiraishin/schema/__init__.py
+++ b/src/hiraishin/schema/__init__.py
@@ -1,18 +1,39 @@
-from typing import Union
-
-from omegaconf import OmegaConf, DictConfig
+from omegaconf import (
+    OmegaConf,
+    DictConfig,
+)
 
-from .model import ModelConfig
+from .common import (
+    Instantiable,
+    ModuleConfig,
+)
+from .model import (
+    ModelConfig,
+    ModelConfigBody,
+    NetworkConfig,
+    WeightsConfig,
+    LossConfig,
+    OptimizerConfig,
+    SchedulerConfig,
+)
 
 
-def validate(config: DictConfig, schema: Union[ModelConfig]):
+def validate(config: DictConfig, schema: ModelConfig):
     config = OmegaConf.to_container(config)
     _ = schema(**config)
 
 
 __all__ = (
     # modules
+    Instantiable.__name__,
+    ModuleConfig.__name__,
     ModelConfig.__name__,
+    ModelConfigBody.__name__,
+    NetworkConfig.__name__,
+    WeightsConfig.__name__,
+    LossConfig.__name__,
+    OptimizerConfig.__name__,
+    SchedulerConfig.__name__,
     # methods
     validate.__name__,
 )
diff --git a/src/hiraishin/schema/common.py b/src/hiraishin/schema/common.py
index 4e66a4e..542cc49 100644
--- a/src/hiraishin/schema/common.py
+++ b/src/hiraishin/schema/common.py
@@ -1,19 +1,20 @@
-from typing import Optional
+import importlib
 
-from pydantic import BaseModel, Extra, Field
+from pydantic import BaseModel, Extra, Field, validator
 
 
-class Instantiable(BaseModel):
-    target: str = Field(..., alias='_target_')
-    recursive: Optional[bool] = Field(True, alias='_recursive_')
+class Instantiable(BaseModel, extra=Extra.allow):
+    target: str = Field(..., alias="_target_")
 
-    class Config:
-        extra = Extra.allow
+    @validator("target")
+    def is_importable(cls, v: str):
+        *module_name, cls_name = v.split(".")
+        try:
+            _ = getattr(importlib.import_module(".".join(module_name)), cls_name)
+            return v
+        except (AttributeError, ValueError):
+            raise ValueError(f"previded _target_ ({v}) is not importable.")
 
 
-class ModuleConfig(BaseModel):
-    name: str = '???'
+class ModuleConfig(BaseModel, extra=Extra.allow):
     args: Instantiable
-
-    class Config:
-        extra = Extra.allow
diff --git a/src/hiraishin/schema/model.py b/src/hiraishin/schema/model.py
index 988827c..9281599 100644
--- a/src/hiraishin/schema/model.py
+++ b/src/hiraishin/schema/model.py
@@ -1,43 +1,53 @@
+from pathlib import Path
 from typing import Dict, List, Optional, Union
 
-from pydantic import BaseModel, FilePath
+from pydantic import BaseModel, Extra, FilePath, Field, validator
 
-from .common import Instantiable, ModuleConfig
+from hiraishin.schema.common import Instantiable, ModuleConfig
 
 
-class NetworkConfig(ModuleConfig):
+class WeightsConfig(BaseModel):
+    initializer: Optional[Instantiable] = None
+    path: Optional[Union[FilePath, Dict[str, FilePath]]] = None
+
+    @validator("path")
+    def check_extensions(cls, v: Union[Path, Dict[str, Path]]):
+        if isinstance(v, Path):
+            if v.stem not in [".ckpt", ".pth"]:
+                raise ValueError(".ckpt or .pth are allowed.")
+        if isinstance(v, Path):
+            if any(path.suffix != ".pth" for path in v.values()):
+                raise ValueError("Only .pth is allowed for partial weights.")
+        return v
 
-    class InitConfig(BaseModel):
-        weight_path: Optional[Union[FilePath, Dict[str, FilePath]]] = None
-        init_type: Optional[str] = None
-        init_gain: Optional[float] = None
 
-    init: InitConfig
+class NetworkConfig(ModuleConfig):
+    weights: WeightsConfig
 
 
 class LossConfig(ModuleConfig):
-    weight: Optional[float] = 1.
+    weight: float = 1.0
 
 
-class OptimizerConfig(ModuleConfig):
+class SchedulerConfig(BaseModel):
+    args: Instantiable
+    interval: str = "epoch"
+    frequency: int = 1
+    strict: bool = True
+    monitor: Optional[str] = None
 
-    class SchedulerConfig(BaseModel):
-        args: Instantiable
-        interval: str = 'epoch'
-        frequency: int = 1
-        strict: bool = True
-        monitor: Optional[str] = None
 
+class OptimizerConfig(ModuleConfig):
     params: List[str] = []
     scheduler: Optional[SchedulerConfig] = None
 
 
-class ModelConfig(Instantiable):
+class ModelConfigBody(BaseModel, extra=Extra.allow):
+    networks: Dict[str, NetworkConfig]
+    losses: Dict[str, LossConfig]
+    optimizers: Dict[str, OptimizerConfig]
 
-    class ConfigBody(BaseModel):
-        networks: List[NetworkConfig]
-        losses: List[LossConfig]
-        optimizers: List[OptimizerConfig]
-        modules: Optional[List[ModuleConfig]] = None
 
-    config: ConfigBody
+class ModelConfig(Instantiable):
+    recursive: Optional[bool] = Field(False, alias="_recursive_")
+    config: ModelConfigBody
diff --git a/src/hiraishin/scripts/__init__.py b/src/hiraishin/scripts/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/src/hiraishin/scripts/train.py b/src/hiraishin/scripts/train.py
deleted file mode 100644
index ef44c05..0000000
--- a/src/hiraishin/scripts/train.py
+++ /dev/null
@@ -1,24 +0,0 @@
-import warnings
-
-from hydra.utils import instantiate
-from omegaconf import DictConfig
-
-from pytorch_lightning import LightningModule, LightningDataModule, Trainer, seed_everything
-
-from .utils import resolve
-
-warnings.simplefilter('ignore', UserWarning)
-
-
-def app(config: DictConfig) -> None:
-
-    seed_everything(338)
-
-    config = resolve(config)
-
-    dm: LightningDataModule = instantiate(config.data)
-    model: LightningModule = instantiate(config.model)
-    trainer: Trainer = instantiate(config.trainer)
-
-    dm.setup('fit')
-    trainer.fit(model, datamodule=dm)
diff --git a/src/hiraishin/scripts/utils.py b/src/hiraishin/scripts/utils.py
deleted file mode 100644
index 210a734..0000000
--- a/src/hiraishin/scripts/utils.py
+++ /dev/null
@@ -1,5 +0,0 @@
-from omegaconf import DictConfig, OmegaConf
-
-
-def resolve(config: DictConfig) -> DictConfig:
-    return OmegaConf.create(OmegaConf.to_container(config, resolve=True))
diff --git a/src/hiraishin/utils.py b/src/hiraishin/utils.py
index 8bc620b..93e1a47 100644
--- a/src/hiraishin/utils.py
+++ b/src/hiraishin/utils.py
@@ -1,31 +1,22 @@
-import importlib
-import inspect
+from pathlib import Path
+from typing import TypeVar, Union
 
-import torch.optim as optim
+import hydra
+import torch
 
+from hiraishin.models import BaseModel
 
-def get_class_name_with_shortest_module(cls):
-    _target_ = cls.__module__ + '.' + cls.__name__
-    for i in range(len(cls.__module__.split('.'))):
-        try:
-            module_name = '.'.join(cls.__module__.split('.')[:-(i + 1)])
-            _ = getattr(importlib.import_module(module_name), cls.__name__)
-            _target_ = module_name + '.' + cls.__name__
-        except (AttributeError, ValueError):
-            pass
-    return _target_
+Model = TypeVar("Model", bound=BaseModel)
 
 
-def get_arguments(cls, with_kwargs: bool = False):
-    params = inspect.signature(cls).parameters
-    if with_kwargs:
-        params = {k: '???' if (d := v.default) is inspect._empty else d for k, v in params.items()}
-    else:
-        params = {k: '???' for k, v in params.items() if (d := v.default) is inspect._empty}
+def load_from_checkpoint(path: Union[str, Path]) -> Model:
+    ckpt = torch.load(str(path))
 
-    if issubclass(cls, optim.Optimizer):
-        _ = params.pop('params')
-    if issubclass(cls, optim.lr_scheduler._LRScheduler):
-        _ = params.pop('optimizer')
+    hparams = ckpt["hyper_parameters"]
+    if "_target_" not in hparams:
+        raise KeyError("_target_ key does not exist in the checkpoint.")
 
-    return params
+    model: Model = hydra.utils.instantiate(ckpt["hyper_parameters"], _recursive_=False)
+    model.load_state_dict(ckpt["state_dict"])
+
+    return model

From 5494ef7722446bccd3865bdec22eb96613bbc48d Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 26 Feb 2022 14:28:36 +0000
Subject: [PATCH 03/19] version

---
 src/hiraishin/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/hiraishin/__init__.py b/src/hiraishin/__init__.py
index b794fd4..5f923a1 100644
--- a/src/hiraishin/__init__.py
+++ b/src/hiraishin/__init__.py
@@ -1 +1 @@
-__version__ = '0.1.0'
+__version__ = "0.2.0rc1"

From 315949d1c533afb0d465a87d7137c352565f9cdb Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 26 Feb 2022 14:32:46 +0000
Subject: [PATCH 04/19] sys.path.append

---
 src/hiraishin/cli.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/src/hiraishin/cli.py b/src/hiraishin/cli.py
index d568311..468e6d1 100644
--- a/src/hiraishin/cli.py
+++ b/src/hiraishin/cli.py
@@ -1,4 +1,6 @@
 import importlib
+import sys
+from pathlib import Path
 from typing import Type
 
 import click
@@ -27,6 +29,9 @@ def cmd() -> None:
     default=False,
 )
 def generate(model_class: str, output_dir: str, with_kwargs: bool):
+
+    sys.path.append(str(Path.cwd()))
+
     *modules, cls = model_class.split(".")
     Model: Type[BaseModel] = getattr(importlib.import_module(".".join(modules)), cls)
     Model.generate(output_dir, with_kwargs)

From 234ddf844e745ea8c666fcfcb060a09a990a404c Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 26 Feb 2022 14:37:15 +0000
Subject: [PATCH 05/19] update tests

---
 tests/data/{toy.yaml => ToyModel.yaml} |  22 +---
 tests/test_models.py                   | 172 +++++++++++++++++++++----
 2 files changed, 151 insertions(+), 43 deletions(-)
 rename tests/data/{toy.yaml => ToyModel.yaml} (62%)

diff --git a/tests/data/toy.yaml b/tests/data/ToyModel.yaml
similarity index 62%
rename from tests/data/toy.yaml
rename to tests/data/ToyModel.yaml
index 14f96ae..e47feeb 100644
--- a/tests/data/toy.yaml
+++ b/tests/data/ToyModel.yaml
@@ -2,38 +2,30 @@ _target_: tests.test_models.ToyModel
 _recursive_: false
 config:
   networks:
-    - name: net
+    net:
       args:
         _target_: torch.nn.Linear
-        _recursive_: true
-        bias: true
         out_features: 1
         in_features: 1
-      init:
-        weight_path: null
-        init_type: null
-        init_gain: null
+      weights:
+        initializer: null
+        path: null
   losses:
-    - name: criterion
+    criterion:
       args:
         _target_: torch.nn.CrossEntropyLoss
-        _recursive_: true
       weight: 1.0
   optimizers:
-    - name: optimizer
+    optimizer:
       args:
         _target_: torch.optim.Adam
-        _recursive_: true
-        lr: 0.001
       params:
-        - net
+      - net
       scheduler:
         args:
           _target_: torch.optim.lr_scheduler.ExponentialLR
-          _recursive_: true
           gamma: 1
         interval: epoch
         frequency: 1
         strict: true
         monitor: null
-  modules: null
diff --git a/tests/test_models.py b/tests/test_models.py
index 1d71554..38dbc03 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -3,6 +3,7 @@
 from pathlib import Path
 
 import pytest
+import pytorch_lightning as pl
 import torch
 from hydra.utils import instantiate
 from omegaconf import OmegaConf
@@ -10,6 +11,27 @@
 
 from hiraishin.models import BaseModel
 from hiraishin.schema import ModelConfig, validate
+from hiraishin.utils import load_from_checkpoint
+
+
+class ToyDataset(torch.utils.data.Dataset):
+    def __init__(self) -> None:
+        super().__init__()
+
+    def __getitem__(self, index: int) -> torch.Tensor:
+        return torch.tensor(0.0)
+
+    def __len__(self) -> int:
+        return 1
+
+
+class ToyDataModule(pl.LightningDataModule):
+    def __init__(self):
+        super().__init__()
+
+    def train_dataloader(self) -> torch.utils.data.DataLoader:
+        dataloader = torch.utils.data.DataLoader(ToyDataset())
+        return dataloader
 
 
 class ToyModel(BaseModel):
@@ -20,6 +42,47 @@ class ToyModel(BaseModel):
     optimizer: torch.optim.Adam
     scheduler: torch.optim.lr_scheduler.ExponentialLR
 
+    def __init__(self, config: ModelConfig):
+        super().__init__(config)
+
+    def forward(self, x: torch.Tensor) -> torch.Tensor:
+        return self.net(x)
+
+    def training_step(self, batch, *args, **kwargs) -> torch.Tensor:
+        return self.forward(batch)
+
+    def validation_step(self, *args, **kwargs) -> torch.Tensor:
+        return torch.tensor(0.0)
+
+    def validation_step_end(self, *args, **kwargs) -> torch.Tensor:
+        return torch.tensor(0.0)
+
+
+class DummyClass:
+    def __init__(self, one, two=2) -> None:
+        pass
+
+
+class NotReservedParamsModel(BaseModel):
+    """Model class with multiple optimizers"""
+
+    foo: str
+    foo_: str = "foo"
+
+    bar: int
+    bar_: int = 0
+
+    buzz: float
+    buzz_: float = 0.0
+
+    fizz: dict
+    fizz_: dict = {
+        "one": 1,
+        "two": 2,
+    }
+
+    dummy: DummyClass
+
     def __init__(self, config: ModelConfig):
         self.initialize(config)
 
@@ -48,36 +111,81 @@ def __init__(self, config: ModelConfig):
         self.initialize(config)
 
 
-@pytest.mark.usefixtures('tmpdir')
+@pytest.mark.usefixtures("tmpdir")
 class TestModel:
-
-    @pytest.mark.usefixtures('shared_datadir')
+    @pytest.mark.usefixtures("shared_datadir")
     def test_instantiate(self, tmpdir, shared_datadir):
         """Check model instantiation."""
-        config = OmegaConf.load(shared_datadir.joinpath('toy.yaml'))
+        config = OmegaConf.load(shared_datadir.joinpath("ToyModel.yaml"))
         model = instantiate(config)
         assert isinstance(model, ToyModel)
 
     def test_instantiate_with_missing_values(self, tmpdir):
         """Check if raising error with missing values."""
-        ToyModel.configen(tmpdir)
-        config = OmegaConf.load(Path(tmpdir).joinpath('model/toy.yaml'))
+        ToyModel.generate(tmpdir)
+        config = OmegaConf.load(Path(tmpdir).joinpath("model/ToyModel.yaml"))
         validate(config, ModelConfig)
         with pytest.raises(MissingMandatoryValue):
             _ = instantiate(config)
 
-    def test_configen(self, tmpdir):
+    @pytest.mark.usefixtures("shared_datadir")
+    def test_load(self, tmpdir, shared_datadir):
+        """Check model instantiation."""
+        config = OmegaConf.load(shared_datadir.joinpath("ToyModel.yaml"))
+        model = instantiate(config)
+
+        trainer = pl.Trainer(
+            max_epochs=1,
+            logger=False,
+            enable_checkpointing=False,
+        )
+        trainer.fit(model, datamodule=ToyDataModule())
+
+        # save checkpoint
+        ckpt_path = Path(tmpdir).joinpath("checkpoint.ckpt")
+        trainer.save_checkpoint(ckpt_path)
+
+        # load models
+        _model = load_from_checkpoint(ckpt_path)
+
+    def test_generate(self, tmpdir):
         """Check if generating valid configs for pydantic."""
-        ToyModel.configen(tmpdir)
-        config = OmegaConf.load(Path(tmpdir).joinpath('model/toy.yaml'))
+        ToyModel.generate(tmpdir)
+        config = OmegaConf.load(Path(tmpdir).joinpath("model/ToyModel.yaml"))
         validate(config, ModelConfig)
 
-    @pytest.mark.usefixtures('monkeypatch')
-    def test_configen_with_multiple_optimizers(self, tmpdir, monkeypatch):
-        """Check if generating configs with multiple optimizers."""
+    def test_generate_with_not_reserved_params(self, tmpdir):
+        """Check if generating valid configs with not-reserved parameters."""
+        NotReservedParamsModel.generate(tmpdir, with_kwargs=True)
+        config = OmegaConf.load(
+            Path(tmpdir).joinpath("model/NotReservedParamsModel.yaml")
+        )
+        validate(config, ModelConfig)
 
-        camel2snake = r'(?<!^)(?=[A-Z])'
-        cls_name_snake = re.sub(camel2snake, '_', MultipleOptimizersModel.__name__.strip("Model")).lower()
+        with pytest.raises(MissingMandatoryValue):
+            _ = config.config.foo
+        assert config.config.foo_ == "foo"
+
+        with pytest.raises(MissingMandatoryValue):
+            _ = config.config.bar
+        assert config.config.bar_ == 0
+
+        with pytest.raises(MissingMandatoryValue):
+            _ = config.config.buzz
+        assert config.config.buzz_ == 0.0
+
+        with pytest.raises(MissingMandatoryValue):
+            _ = config.config.fizz.items()
+        assert config.config.fizz_ == {"one": 1, "two": 2}
+
+        assert config.config.dummy._target_ == "tests.test_models.DummyClass"
+        with pytest.raises(MissingMandatoryValue):
+            _ = config.config.dummy.one
+        assert config.config.dummy.two == 2
+
+    @pytest.mark.usefixtures("monkeypatch")
+    def test_generate_with_multiple_optimizers(self, tmpdir, monkeypatch):
+        """Check if generating configs with multiple optimizers."""
 
         # The order of optimizer configuration must match the order of optimization.
         # Current order:
@@ -85,30 +193,38 @@ def test_configen_with_multiple_optimizers(self, tmpdir, monkeypatch):
         #         1: optimizer_2
 
         # Proceed? [Y/n]: Y
-        monkeypatch.setattr('sys.stdin', StringIO('Y'))
-        MultipleOptimizersModel.configen(tmpdir)
+        monkeypatch.setattr("sys.stdin", StringIO("Y"))
+        MultipleOptimizersModel.generate(tmpdir)
 
-        model_config: ModelConfig = OmegaConf.load(Path(tmpdir).joinpath(f'model/{cls_name_snake}.yaml'))
-        assert model_config.config.optimizers[0].name == 'optimizer_1'
-        assert model_config.config.optimizers[1].name == 'optimizer_2'
+        model_config: ModelConfig = OmegaConf.load(
+            Path(tmpdir).joinpath(f"model/{MultipleOptimizersModel.__name__}.yaml")
+        )
+        assert list(model_config.config.optimizers.keys()) == [
+            "optimizer_1",
+            "optimizer_2",
+        ]
 
         # Proceed? [Y/n]: n
         # Input order (example: 0,1): 1,0
-        monkeypatch.setattr('sys.stdin', StringIO('\n'.join(['n', '1,0'])))
-        MultipleOptimizersModel.configen(tmpdir)
+        monkeypatch.setattr("sys.stdin", StringIO("\n".join(["n", "1,0"])))
+        MultipleOptimizersModel.generate(tmpdir)
 
-        model_config: ModelConfig = OmegaConf.load(Path(tmpdir).joinpath(f'model/{cls_name_snake}.yaml'))
-        assert model_config.config.optimizers[0].name == 'optimizer_2'
-        assert model_config.config.optimizers[1].name == 'optimizer_1'
+        model_config: ModelConfig = OmegaConf.load(
+            Path(tmpdir).joinpath(f"model/{MultipleOptimizersModel.__name__}.yaml")
+        )
+        assert list(model_config.config.optimizers.keys()) == [
+            "optimizer_2",
+            "optimizer_1",
+        ]
 
         # Proceed? [Y/n]: n
         # Input order (example: 0,1): 1,1
         # Invalid input!
         # Input order (example: 0,1): 1,0
-        monkeypatch.setattr('sys.stdin', StringIO('\n'.join(['x', 'n', '1,1', '1,0'])))
-        MultipleOptimizersModel.configen(tmpdir)
+        monkeypatch.setattr("sys.stdin", StringIO("\n".join(["x", "n", "1,1", "1,0"])))
+        MultipleOptimizersModel.generate(tmpdir)
 
-    def test_configen_with_alone_scheduler(self, tmpdir):
+    def test_generate_with_alone_scheduler(self, tmpdir):
         """Check error handling for alone scheduler."""
         with pytest.raises(ValueError):
-            AloneShcdulerModel.configen(tmpdir)
+            AloneShcdulerModel.generate(tmpdir)

From d2e69e1f33bc68aae86b57e2b22f33a6d8688a87 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:00:16 +0000
Subject: [PATCH 06/19] timeout

---
 .github/workflows/build.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index 94ec8cf..8a8ae61 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -11,7 +11,7 @@ env:
 jobs:
   build:
     runs-on: ubuntu-latest
-    timeout-minutes: 5
+    timeout-minutes: 10
     steps:
       - name: Checkout
         uses: actions/checkout@v2
@@ -33,7 +33,7 @@ jobs:
 
   test:
     runs-on: ubuntu-latest
-    timeout-minutes: 5
+    timeout-minutes: 10
     needs: build
     steps:
       - name: Checkout

From 6effdb6548b2611028e50ce9afa90bb4cf560b47 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:24:56 +0000
Subject: [PATCH 07/19] TypeVar

---
 src/hiraishin/models/base_model.py | 36 +++++++++++++++++++++---------
 1 file changed, 26 insertions(+), 10 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index b439ca6..41eb2ed 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -2,7 +2,7 @@
 from abc import ABCMeta
 from logging import getLogger
 from pathlib import Path
-from typing import Any, Dict, List, Tuple, Union, Callable
+from typing import Any, Dict, List, Tuple, Union, Callable, TypeVar
 
 import torch.nn as nn
 import torch.optim as optim
@@ -22,6 +22,20 @@
 logger = getLogger(__name__)
 
 
+Module = TypeVar(
+    "Module",
+    bound=nn.Module,
+)
+Optimizer = TypeVar(
+    "Optimizer",
+    bound=optim.Optimizer,
+)
+LRScheduler = TypeVar(
+    "LRScheduler",
+    bound=optim.lr_scheduler._LRScheduler,
+)
+
+
 class BaseModel(LightningModule, metaclass=ABCMeta):
     @final
     @classmethod
@@ -64,11 +78,11 @@ def register_components(self) -> None:
     def define_networks(self) -> None:
         for name, config in self.config.networks.items():
             # network definition
-            net: nn.Module = instantiate(config.args.dict(by_alias=True))
+            net: Module = instantiate(config.args.dict(by_alias=True))
 
             # initialize weights
             if config.weights.initializer is not None:
-                initializer: Callable[[nn.Module], None] = instantiate(
+                initializer: Callable[[Module], None] = instantiate(
                     config.weights.initializer.dict(by_alias=True)
                 )
             else:
@@ -94,22 +108,22 @@ def define_networks(self) -> None:
     @final
     def define_losses(self) -> None:
         for name, config in self.config.losses.items():
-            criterion = instantiate(config.args.dict(by_alias=True))
+            criterion: Module = instantiate(config.args.dict(by_alias=True))
             setattr(self, name, criterion)
             setattr(self, name.replace("criterion", "weight"), config.weight)
 
     @final
     def define_optimizers(self) -> None:
         for name, config in self.config.optimizers.items():
-            targets: List[nn.Module] = [getattr(self, net) for net in config.params]
-            optimizer: optim.Optimizer = instantiate(
+            targets: List[Module] = [getattr(self, net) for net in config.params]
+            optimizer: Optimizer = instantiate(
                 config.args.dict(by_alias=True),
                 itertools.chain(*[net.parameters() for net in targets]),
             )
             setattr(self, name, optimizer)
 
             if config.scheduler is not None:
-                scheduler: optim.lr_scheduler._LRScheduler = instantiate(
+                scheduler: LRScheduler = instantiate(
                     config.scheduler.args.dict(by_alias=True),
                     optimizer=optimizer,
                 )
@@ -120,13 +134,15 @@ def define_optimizers(self) -> None:
     @final
     def configure_optimizers(
         self,
-    ) -> Tuple[List[optim.Optimizer], List[Dict[str, Any]]]:
+    ) -> Tuple[List[Optimizer], List[Dict[str, Any]]]:
         optim_list, sched_list = [], []
         for name, config in self.config.optimizers.items():
-            optimizer = getattr(self, name)
+            optimizer: Optimizer = getattr(self, name)
             optim_list.append(optimizer)
 
-            scheduler = getattr(self, name.replace("optimizer", "scheduler"))
+            scheduler: LRScheduler = getattr(
+                self, name.replace("optimizer", "scheduler")
+            )
             sched_dict = {
                 "scheduler": scheduler,
                 "interval": config.scheduler.interval,

From 1c22b88d710171f754e8e05b5e09ec5e24666c0e Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:43:31 +0000
Subject: [PATCH 08/19] improve variable name checks

---
 src/hiraishin/models/base_model.py | 25 +++++++++++++++++++------
 1 file changed, 19 insertions(+), 6 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 41eb2ed..7447fb4 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -77,6 +77,11 @@ def register_components(self) -> None:
     @final
     def define_networks(self) -> None:
         for name, config in self.config.networks.items():
+            if not name.startswith("net_"):
+                raise NameError(
+                    'Configurations for networks must have the prefix "net_".'
+                )
+
             # network definition
             net: Module = instantiate(config.args.dict(by_alias=True))
 
@@ -108,6 +113,10 @@ def define_networks(self) -> None:
     @final
     def define_losses(self) -> None:
         for name, config in self.config.losses.items():
+            if not name.startswith("criterion_"):
+                raise NameError(
+                    'Configurations for loss functions must have the prefix "criterion_".'
+                )
             criterion: Module = instantiate(config.args.dict(by_alias=True))
             setattr(self, name, criterion)
             setattr(self, name.replace("criterion", "weight"), config.weight)
@@ -115,6 +124,10 @@ def define_losses(self) -> None:
     @final
     def define_optimizers(self) -> None:
         for name, config in self.config.optimizers.items():
+            if not name.startswith("optimizer_"):
+                raise NameError(
+                    'Configurations for optimizers must have the prefix "optimizer_".'
+                )
             targets: List[Module] = [getattr(self, net) for net in config.params]
             optimizer: Optimizer = instantiate(
                 config.args.dict(by_alias=True),
@@ -188,7 +201,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         networks: Dict[str, schema.NetworkConfig] = {}
         for name, _cls in annotations.items():
-            if "net" not in name:
+            if not name.startswith("net_"):
                 continue
             networks.update(
                 {
@@ -204,7 +217,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         losses: Dict[str, schema.LossConfig] = {}
         for name, _cls in annotations.items():
-            if "criterion" not in name:
+            if not name.startswith("criterion_"):
                 continue
             losses.update(
                 {
@@ -220,13 +233,13 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         optimizers: List[schema.OptimizerConfig] = {}
         for name in annotations.keys():
-            if "scheduler" not in name:
+            if not name.startswith("scheduler_"):
                 continue
             # check wheather the scheduler has the corresponding optimizer
             if name.replace("scheduler", "optimizer") not in annotations:
                 raise ValueError("Scheduler must not be defined alone.")
         for name, _cls in annotations.items():
-            if "optimizer" not in name:
+            if not name.startswith("optimizer_"):
                 continue
             # scheduler
             if name.replace("optimizer", "scheduler") in annotations:
@@ -292,8 +305,8 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
         modules: Dict[str, schema.ModuleConfig] = {}
         for name, _cls in annotations.items():
             if any(
-                prefix in name
-                for prefix in ["net", "criterion", "optimizer", "scheduler"]
+                name.startswith(prefix)
+                for prefix in ["net_", "criterion_", "optimizer_", "scheduler_"]
             ):
                 continue
             elif _cls in (int, str, float, dict):

From 0bc97aac8a824779d16e4867a455610adbc09c53 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:44:27 +0000
Subject: [PATCH 09/19] modules -> others

---
 src/hiraishin/models/base_model.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 7447fb4..bbc0172 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -302,7 +302,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                         print("Invalid input!")
                         pass
 
-        modules: Dict[str, schema.ModuleConfig] = {}
+        others: Dict[str, schema.ModuleConfig] = {}
         for name, _cls in annotations.items():
             if any(
                 name.startswith(prefix)
@@ -311,14 +311,14 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                 continue
             elif _cls in (int, str, float, dict):
                 if hasattr(cls, name):
-                    modules.update({name: getattr(cls, name)})
+                    others.update({name: getattr(cls, name)})
                 else:
                     if _cls == dict:
-                        modules.update({name: {"???": "???"}})
+                        others.update({name: {"???": "???"}})
                     else:
-                        modules.update({name: "???"})
+                        others.update({name: "???"})
             else:
-                modules.update(
+                others.update(
                     {
                         name: schema.Instantiable(
                             _target_=get_class_name_with_shortest_module(_cls),
@@ -334,7 +334,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                 networks=networks,
                 losses=losses,
                 optimizers=optimizers,
-                **modules,
+                **others,
             ),
         ).dict(by_alias=True)
 

From dffc2d87c06b8375240ae83330eec4e2b2960adc Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:45:20 +0000
Subject: [PATCH 10/19] update error messages

---
 src/hiraishin/models/base_model.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index bbc0172..8a7e9f1 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -237,10 +237,13 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                 continue
             # check wheather the scheduler has the corresponding optimizer
             if name.replace("scheduler", "optimizer") not in annotations:
-                raise ValueError("Scheduler must not be defined alone.")
+                raise ValueError(
+                    "The scheduler can be defined with the correcponding optimizer."
+                )
         for name, _cls in annotations.items():
             if not name.startswith("optimizer_"):
                 continue
+
             # scheduler
             if name.replace("optimizer", "scheduler") in annotations:
                 sched_cls = annotations.get(name.replace("optimizer", "scheduler"))
@@ -253,6 +256,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
             else:
                 scheduler = None
+
             # optimizer
             optimizers.update(
                 {
@@ -269,7 +273,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         if len(optimizers) > 1:
             print(
-                "The order of optimizer configuration must match the order of optimization."
+                "The order of optimizer configurations must match the order of optimization. (e.g., in GANs training.)"
             )
             print("Current order:")
             for i, optimizer_name in enumerate(optimizers.keys()):

From 4acee1708de975f1eb8870f9f59b4dd1a193a6f2 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:47:08 +0000
Subject: [PATCH 11/19] TypeVar

---
 src/hiraishin/models/utils.py | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/src/hiraishin/models/utils.py b/src/hiraishin/models/utils.py
index c60e447..db75cf8 100644
--- a/src/hiraishin/models/utils.py
+++ b/src/hiraishin/models/utils.py
@@ -3,7 +3,7 @@
 from collections import OrderedDict
 from logging import getLogger
 from pathlib import Path
-from typing import Any, Dict, Optional, Type
+from typing import Any, Dict, Optional, Type, TypeVar
 
 import hydra
 import torch
@@ -52,7 +52,13 @@ def get_arguments(cls: Type[Any], with_kwargs: bool = False) -> Dict[str, Any]:
     return params
 
 
-def load_weights(net: nn.Module, path: str, net_name: Optional[str] = None) -> None:
+Module = TypeVar(
+    "Module",
+    bound=nn.Module,
+)
+
+
+def load_weights(net: Module, path: str, net_name: Optional[str] = None) -> None:
     """Loads weights from the given path whose extension is `.ckpt` or `.pth`. For `.ckpt`, net_name is required."""
     if path.suffix == ".pth":
         net.load_state_dict(torch.load(CWD.joinpath(path)), strict=False)
@@ -77,7 +83,7 @@ def __init__(self, init_type: str = "xavier_uniform", **kwargs) -> None:
         self.init_type = init_type
         self.kwargs: Dict[str, Any] = kwargs
 
-    def init_fn(self, m: nn.Module) -> None:
+    def init_fn(self, m: Module) -> None:
         name = m.__class__.__name__
         if hasattr(m, "weight") and ("Conv" in name or "Linear" in name):
             fn = getattr(init, f"{self.init_type}_")
@@ -88,7 +94,7 @@ def init_fn(self, m: nn.Module) -> None:
             init.normal_(m.weight.data, 0.0, 1.0)
             init.constant_(m.bias.data, 0.0)
 
-    def __call__(self, net: nn.Module) -> None:
+    def __call__(self, net: Module) -> None:
         net.apply(self.init_fn)
         logger.info(
             f"{net.__class__.__name__} was initialized with {self.__class__.__name__}."

From 601f3b27355313d9a3972e960a6d86d4de650f59 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:49:55 +0000
Subject: [PATCH 12/19] style

---
 src/hiraishin/models/base_model.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 8a7e9f1..5cff219 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -102,10 +102,7 @@ def define_networks(self) -> None:
             if isinstance(config.weights.path, Path):  # for whole network
                 load_weights(net, config.weights.path, name)
             if isinstance(config.weights.path, dict):
-                for (
-                    mod_name,
-                    path,
-                ) in config.weights.path.items():  # for modules
+                for (mod_name, path) in config.weights.path.items():  # for modules
                     load_weights(getattr(net, mod_name), path)
 
             setattr(self, name, net)

From 5fae3ffc628f586c2be23da13e6121e93a8487f7 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 01:54:30 +0000
Subject: [PATCH 13/19] remove under score

---
 src/hiraishin/models/base_model.py | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 5cff219..ffeb79d 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -77,9 +77,9 @@ def register_components(self) -> None:
     @final
     def define_networks(self) -> None:
         for name, config in self.config.networks.items():
-            if not name.startswith("net_"):
+            if not name.startswith("net"):
                 raise NameError(
-                    'Configurations for networks must have the prefix "net_".'
+                    'Configurations for networks must have the prefix "net".'
                 )
 
             # network definition
@@ -110,9 +110,9 @@ def define_networks(self) -> None:
     @final
     def define_losses(self) -> None:
         for name, config in self.config.losses.items():
-            if not name.startswith("criterion_"):
+            if not name.startswith("criterion"):
                 raise NameError(
-                    'Configurations for loss functions must have the prefix "criterion_".'
+                    'Configurations for loss functions must have the prefix "criterion".'
                 )
             criterion: Module = instantiate(config.args.dict(by_alias=True))
             setattr(self, name, criterion)
@@ -121,9 +121,9 @@ def define_losses(self) -> None:
     @final
     def define_optimizers(self) -> None:
         for name, config in self.config.optimizers.items():
-            if not name.startswith("optimizer_"):
+            if not name.startswith("optimizer"):
                 raise NameError(
-                    'Configurations for optimizers must have the prefix "optimizer_".'
+                    'Configurations for optimizers must have the prefix "optimizer".'
                 )
             targets: List[Module] = [getattr(self, net) for net in config.params]
             optimizer: Optimizer = instantiate(
@@ -198,7 +198,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         networks: Dict[str, schema.NetworkConfig] = {}
         for name, _cls in annotations.items():
-            if not name.startswith("net_"):
+            if not name.startswith("net"):
                 continue
             networks.update(
                 {
@@ -214,7 +214,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         losses: Dict[str, schema.LossConfig] = {}
         for name, _cls in annotations.items():
-            if not name.startswith("criterion_"):
+            if not name.startswith("criterion"):
                 continue
             losses.update(
                 {
@@ -230,7 +230,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
 
         optimizers: List[schema.OptimizerConfig] = {}
         for name in annotations.keys():
-            if not name.startswith("scheduler_"):
+            if not name.startswith("scheduler"):
                 continue
             # check wheather the scheduler has the corresponding optimizer
             if name.replace("scheduler", "optimizer") not in annotations:
@@ -238,7 +238,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                     "The scheduler can be defined with the correcponding optimizer."
                 )
         for name, _cls in annotations.items():
-            if not name.startswith("optimizer_"):
+            if not name.startswith("optimizer"):
                 continue
 
             # scheduler
@@ -307,7 +307,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
         for name, _cls in annotations.items():
             if any(
                 name.startswith(prefix)
-                for prefix in ["net_", "criterion_", "optimizer_", "scheduler_"]
+                for prefix in ["net", "criterion", "optimizer", "scheduler"]
             ):
                 continue
             elif _cls in (int, str, float, dict):

From c1ab8de90a09a4da22faa00dc93bf68245aaf3f5 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 08:17:20 +0000
Subject: [PATCH 14/19] move print()

---
 src/hiraishin/models/base_model.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index ffeb79d..4b91b96 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -276,13 +276,12 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
             for i, optimizer_name in enumerate(optimizers.keys()):
                 print(f"\t{i}: {optimizer_name}")
 
-            print("Proceed? [Y/n]: ", end="")
             while True:
+                print("Proceed? [Y/n]: ", end="")
                 proceed = input()
                 if proceed in ["", "Y", "n"]:
                     break
                 print("Invalid input!")
-                print("Proceed? [Y/n]: ", end="")
 
             if proceed == "n":
                 indices = list(range(len(optimizers)))

From a2ff85c70a452f76a267c89ac474de3c5adc57e0 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sun, 27 Feb 2022 14:02:42 +0000
Subject: [PATCH 15/19] improve built-in supports

---
 src/hiraishin/models/base_model.py | 21 ++++++++++++++-------
 1 file changed, 14 insertions(+), 7 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 4b91b96..95782aa 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -302,21 +302,28 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
                         print("Invalid input!")
                         pass
 
-        others: Dict[str, schema.ModuleConfig] = {}
+        others: Dict[str, Union[schema.Instantiable, int, str, float, dict]] = {}
         for name, _cls in annotations.items():
             if any(
                 name.startswith(prefix)
                 for prefix in ["net", "criterion", "optimizer", "scheduler"]
             ):
                 continue
-            elif _cls in (int, str, float, dict):
-                if hasattr(cls, name):
-                    others.update({name: getattr(cls, name)})
-                else:
-                    if _cls == dict:
-                        others.update({name: {"???": "???"}})
+            elif _cls.__module__ == "builtins":
+                if _cls in (int, str, float):
+                    if hasattr(cls, name):
+                        others.update({name: getattr(cls, name)})
                     else:
                         others.update({name: "???"})
+                elif _cls == dict:
+                    if hasattr(cls, name):
+                        others.update({name: getattr(cls, name)})
+                    else:
+                        others.update({name: {"???": "???"}})
+                else:
+                    raise TypeError(
+                        "Supported built-in type is int, str, float or dict."
+                    )
             else:
                 others.update(
                     {

From c1f05ac7a8b8891e358d3dfcb33cb23895d56a1a Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 5 Mar 2022 01:04:26 +0000
Subject: [PATCH 16/19] improve builtins support

---
 src/hiraishin/models/base_model.py | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/src/hiraishin/models/base_model.py b/src/hiraishin/models/base_model.py
index 95782aa..5b789c9 100644
--- a/src/hiraishin/models/base_model.py
+++ b/src/hiraishin/models/base_model.py
@@ -310,11 +310,16 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
             ):
                 continue
             elif _cls.__module__ == "builtins":
-                if _cls in (int, str, float):
+                if _cls in (int, str, float, bool):
                     if hasattr(cls, name):
                         others.update({name: getattr(cls, name)})
                     else:
                         others.update({name: "???"})
+                elif _cls == list:
+                    if hasattr(cls, name):
+                        others.update({name: getattr(cls, name)})
+                    else:
+                        others.update({name: ["???"]})
                 elif _cls == dict:
                     if hasattr(cls, name):
                         others.update({name: getattr(cls, name)})
@@ -345,7 +350,7 @@ def generate(cls, output_dir: Union[str, Path], with_kwargs: bool = False) -> No
             ),
         ).dict(by_alias=True)
 
-        filename = Path(output_dir).joinpath(f"model/{cls.__name__}.yaml")
+        filename = Path(output_dir).joinpath(f"{cls.__name__}.yaml")
         filename.parent.mkdir(parents=True, exist_ok=True)
 
         OmegaConf.save(OmegaConf.create(m), filename)

From 930b48c98404fc0ecfe5036ec799a2a4c82bfc36 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 5 Mar 2022 01:04:46 +0000
Subject: [PATCH 17/19] modify default output_dir

---
 src/hiraishin/cli.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/hiraishin/cli.py b/src/hiraishin/cli.py
index 468e6d1..c4243e0 100644
--- a/src/hiraishin/cli.py
+++ b/src/hiraishin/cli.py
@@ -21,7 +21,7 @@ def cmd() -> None:
 @click.option(
     "--output_dir",
     type=click.Path(exists=True, file_okay=False),
-    default="./config",
+    default="./config/model",
 )
 @click.option(
     "--with_kwargs",

From b469c63f3d54b8fc1f3ced125cc764b8dd1c3852 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 5 Mar 2022 01:05:06 +0000
Subject: [PATCH 18/19] update README.md

---
 README.md | 131 ++++++++++++++++++++++++++++++++++--------------------
 1 file changed, 84 insertions(+), 47 deletions(-)

diff --git a/README.md b/README.md
index 6c87ca0..865883d 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ $ pip install -U hiraishin
 
 # Basic workflow
 ## 1. Model initialization with type annotations
-Define a model class that has training components of PyTorch as instance variables.
+Define a model class that has training components with type annotations.
 
 ```python
 import torch.nn as nn
@@ -32,73 +32,95 @@ class ToyModel(BaseModel):
     scheduler: optim.lr_schedulers.ExponentialLR
 
     def __init__(self, config: DictConfig) -> None:
-        self.initialize(config)  # call `initialize()` instead of `super()__init__()`
+        super().__init__(config)
 ```
 
-We recommend that they have the following prefix to indicate their role.
+Modules with the following prefixes are instantiated by their own role-specific logic.
 
-- `net` for networks. It must be a subclass of `nn.Module` to initialize and load weights.
-- `criterion` for loss functions. 
-- `optimizer` for optimizers. It must be subclass of `Optimizer`.
-- `scheduler` for schedulers. It must be subclass of `_LRScheduler` and the suffix must match to the corresponding optimizer.
+- `net`
+- `criterion`
+- `optimizer`
+- `scheduler`
 
-If you need to define modules besides the above components (e.g. tokenizers), feel free to define them. The modules will be defined with the names you specify.
+The same notation can be used to define components other than the learning components listed above (e.g., tokenizers). It is also possible to define built-in type constants that are YAML serializable.
 
-## 2. Generating configuration file
-Hiraishin has the functionality to generate configuration files on the command line.
-If the above class was written in `model.py` at the same level as the current directory, you can generate it with the following command.
+```python
+class ToyModel(BaseModel):
+
+    net: nn.Linear
+    criterion: nn.CrossEntropyLoss
+    optimizer: optim.Adam
+    scheduler: optim.lr_schedulers.ExponentialLR
+
+    # additional components and constants
+    tokenizer: MyTokenizer
+    n_classes: int
+
+    def __init__(self, config: DictConfig) -> None:
+        super().__init__(config)
+```
+
+## 2. Configuration file generation
+Hiraishin provides a CLI command that automatically generates a configuration file based on type annotations.
+
+For example, if `ToyModel` is defined in `models.py` (i.e., `from models import ToyModel` can be executed in the code), then the following command will generate the configuration file automatically.
 
 ```shell
-$ hiraishin configen model.ToyModel
-The config has been generated! --> config/model/toy.yaml
+$ hiraishin generate model.ToyModel --output_dir config/model
+The config has been generated! --> config/model/ToyModel.yaml
 ```
 
 Let's take a look at the generated file.
-The positional arguments are filled with `???` that indicates mandatory parameters in Hydra.
-We recommend overwriting them with the default value, otherwise, you must give them through command-line arguments for every run.
 
 ```yaml
-_target_: model.ToyModel
+_target_: models.ToyModel
 _recursive_: false
 config:
+
   networks:
-  - name: net
-    args:
-      _target_: torch.nn.Linear
-      _recursive_: true
-      in_features: ???  # -> 1
-      out_features: ???  # -> 1
-    init:
-      weight_path: null
-      init_type: null
-      init_gain: null
+    net:
+      args:
+        _target_: torch.nn.Linear
+        out_features: ???
+        in_features: ???
+      weights:
+        initializer: null
+        path: null
+
   losses:
-  - name: criterion
-    args:
-      _target_: torch.nn.CrossEntropyLoss
-      _recursive_: true
-    weight: 1.0
+    criterion:
+      args:
+        _target_: torch.nn.CrossEntropyLoss
+      weight: 1.0
+
   optimizers:
-  - name: optimizer
-    args:
-      _target_: torch.optim.Adam
-      _recursive_: true
-    params:
-    - ???  # -> net
-    scheduler:
+    optimizer:
       args:
-        _target_: torch.optim.lr_scheduler.ExponentialLR
-        _recursive_: true
-        gamma: ???  # -> 1
-      interval: epoch
-      frequency: 1
-      strict: true
-      monitor: null
-  modules: null
+        _target_: torch.optim.Adam
+      params:
+      - ???
+      scheduler:
+        args:
+          _target_: torch.optim.lr_scheduler.ExponentialLR
+          gamma: ???
+        interval: epoch
+        frequency: 1
+        strict: true
+        monitor: null
+
+  tokenizer:
+    _target_: MyTokenizer
+  n_classes: ???
+
 ```
 
+First of all, it is compliant with the instantiation by `hydra.utils.instantiation`.
+
+The positional arguments are filled with `???` that indicates mandatory parameters. They should be overridden by the values you want to set.
+
 ## 3. Training routines definition
 The rest of model definition is only defining your training routine along with the style of PyTorch Lightning.
+
 ```python
 class ToyModel(BaseModel):
     
@@ -116,7 +138,8 @@ class ToyModel(BaseModel):
 ```
 
 ## 4. Model Instantiation
-The defined model can be instantiated from configuration file. Try to train and test models!
+The defined model can be instantiated from configuration file. Let's train your models!
+
 ```python
 from hydra.utils import inatantiate
 from omegeconf import OmegaConf
@@ -137,5 +160,19 @@ def app():
     trainer.fit(model, ...)
 ```
 
+## 5. Model loading
+You can easily load trained models by using the checkpoints generated by PyTorch Lightning's standard features. Let's test your models!
+
+```python
+from hiraishin.utils import load_from_checkpoint
+
+model = load_from_checkpoint('path/to/model.ckpt')
+print(model)
+# ToyModel(
+#     (net): Linear(in_features=1, out_features=1, bias=True)
+#     (criterion): CrossEntropyLoss()
+# )
+```
+
 # License
 Hiraishin is licensed under the Apache License, Version 2.0. See [LICENSE](LICENSE) for the full license text.

From fedd913d3c02e863e083d19012ae196e85509b47 Mon Sep 17 00:00:00 2001
From: S-aiueo32 <s.aiueo32@gmail.com>
Date: Sat, 5 Mar 2022 01:13:49 +0000
Subject: [PATCH 19/19] update test

---
 tests/test_models.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/tests/test_models.py b/tests/test_models.py
index 38dbc03..73f2488 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -123,7 +123,7 @@ def test_instantiate(self, tmpdir, shared_datadir):
     def test_instantiate_with_missing_values(self, tmpdir):
         """Check if raising error with missing values."""
         ToyModel.generate(tmpdir)
-        config = OmegaConf.load(Path(tmpdir).joinpath("model/ToyModel.yaml"))
+        config = OmegaConf.load(Path(tmpdir).joinpath("ToyModel.yaml"))
         validate(config, ModelConfig)
         with pytest.raises(MissingMandatoryValue):
             _ = instantiate(config)
@@ -151,15 +151,13 @@ def test_load(self, tmpdir, shared_datadir):
     def test_generate(self, tmpdir):
         """Check if generating valid configs for pydantic."""
         ToyModel.generate(tmpdir)
-        config = OmegaConf.load(Path(tmpdir).joinpath("model/ToyModel.yaml"))
+        config = OmegaConf.load(Path(tmpdir).joinpath("ToyModel.yaml"))
         validate(config, ModelConfig)
 
     def test_generate_with_not_reserved_params(self, tmpdir):
         """Check if generating valid configs with not-reserved parameters."""
         NotReservedParamsModel.generate(tmpdir, with_kwargs=True)
-        config = OmegaConf.load(
-            Path(tmpdir).joinpath("model/NotReservedParamsModel.yaml")
-        )
+        config = OmegaConf.load(Path(tmpdir).joinpath("NotReservedParamsModel.yaml"))
         validate(config, ModelConfig)
 
         with pytest.raises(MissingMandatoryValue):
@@ -197,7 +195,7 @@ def test_generate_with_multiple_optimizers(self, tmpdir, monkeypatch):
         MultipleOptimizersModel.generate(tmpdir)
 
         model_config: ModelConfig = OmegaConf.load(
-            Path(tmpdir).joinpath(f"model/{MultipleOptimizersModel.__name__}.yaml")
+            Path(tmpdir).joinpath(f"{MultipleOptimizersModel.__name__}.yaml")
         )
         assert list(model_config.config.optimizers.keys()) == [
             "optimizer_1",
@@ -210,7 +208,7 @@ def test_generate_with_multiple_optimizers(self, tmpdir, monkeypatch):
         MultipleOptimizersModel.generate(tmpdir)
 
         model_config: ModelConfig = OmegaConf.load(
-            Path(tmpdir).joinpath(f"model/{MultipleOptimizersModel.__name__}.yaml")
+            Path(tmpdir).joinpath(f"{MultipleOptimizersModel.__name__}.yaml")
         )
         assert list(model_config.config.optimizers.keys()) == [
             "optimizer_2",