diff --git a/.github/workflows/python-package.yml b/.github/workflows/python-package.yml
index 9af6adf75da9f9fe1607c65e0dab3b952a2c9b92..5c96123d51d7c7b0804827ddaa416c3a3b2ccaa7 100644
--- a/.github/workflows/python-package.yml
+++ b/.github/workflows/python-package.yml
@@ -1,29 +1,77 @@
-name: Python package
-
-on:
- pull_request:
- branches: [ main, develop ]
+name: CI
+on: pull_request
jobs:
- build:
-
- runs-on: ubuntu-18.04
- strategy:
- matrix:
- python-version: [ '3.8', '3.9' ]
-
- steps:
- - uses: actions/checkout@v2
- - name: Set up Python ${{ matrix.python-version }}
- uses: actions/setup-python@v2
- with:
- python-version: ${{ matrix.python-version }}
- - name: Install dependencies
- run: |
- ls -la
- python -m pip install --upgrade pip
- pip install tox
- pip install --upgrade -r requirements.txt
- pip install --upgrade -r requirements_dev.txt
- - name: Run tox
- run: tox -v
+ tests:
+ strategy:
+ fail-fast: false
+ matrix:
+ python-version: [ 3.9.6 ]
+ poetry-version: [ 1.1.5 ]
+ os: [ ubuntu-20.04, macos-latest, windows-latest ]
+ runs-on: ${{ matrix.os }}
+ steps:
+ - uses: actions/checkout@v2
+ - uses: actions/setup-python@v2
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install poetry
+ uses: abatilo/actions-poetry@v2.0.0
+ with:
+ poetry-version: ${{ matrix.poetry-version }}
+ - name: Install deps
+ run: poetry install -vv
+ - name: Run tests
+ run: poetry run poe test
+ lint:
+ strategy:
+ fail-fast: false
+ matrix:
+ python-version: [ 3.9.6 ]
+ poetry-version: [ 1.1.5 ]
+ os: [ ubuntu-20.04 ]
+ runs-on: ${{ matrix.os }}
+ steps:
+ - uses: actions/checkout@v2
+ - uses: actions/setup-python@v2
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install poetry
+ uses: abatilo/actions-poetry@v2.0.0
+ with:
+ poetry-version: ${{ matrix.poetry-version }}
+ - name: Install deps
+ run: poetry install -vv
+ - name: Check
+ run: poetry run poe check
+ publish:
+ needs:
+ - tests
+ - lint
+ environment: Test deployment
+ strategy:
+ fail-fast: false
+ matrix:
+ python-version: [ 3.9.6 ]
+ poetry-version: [ 1.1.5 ]
+ os: [ ubuntu-20.04 ]
+ runs-on: ${{ matrix.os }}
+ steps:
+ - uses: actions/checkout@v2
+ with:
+ fetch-depth: 0
+ - uses: actions/setup-python@v2
+ with:
+ python-version: ${{ matrix.python-version }}
+ - name: Install poetry
+ uses: abatilo/actions-poetry@v2.0.0
+ with:
+ poetry-version: ${{ matrix.poetry-version }}
+ - name: Install deps
+ run: poetry install -vv
+ - name: Build and publish
+ run: |
+ poetry version "$(git describe --tags --abbrev=0)a${GITHUB_RUN_NUMBER}"
+ poetry build
+ poetry config repositories.testpypi https://test.pypi.org/legacy/
+ poetry publish -r testpypi --username __token__ --password ${{ secrets.TEST_PYPI_API_TOKEN }}
diff --git a/mypy.ini b/mypy.ini
new file mode 100644
index 0000000000000000000000000000000000000000..0baeb890b9d8930303cf8605c02aad391915f078
--- /dev/null
+++ b/mypy.ini
@@ -0,0 +1,42 @@
+[mypy-transformers.*]
+ignore_missing_imports = True
+
+[mypy-tensorflow.*]
+ignore_missing_imports = True
+
+[mypy-srsly.*]
+ignore_missing_imports = True
+
+[mypy-spacy.*]
+ignore_missing_imports = True
+implicit_reexport = True
+
+[mypy-flair.*]
+ignore_missing_imports = True
+
+[mypy-sklearn.*]
+ignore_missing_imports = True
+
+[mypy-tqdm.*]
+ignore_missing_imports = True
+
+[mypy-torch.*]
+ignore_missing_imports = True
+
+[mypy-datasets.*]
+ignore_missing_imports = True
+
+[mypy-numpy.*]
+ignore_missing_imports = True
+
+[mypy-pandas.*]
+ignore_missing_imports = True
+
+[mypy-pymongo.*]
+ignore_missing_imports = True
+
+[mypy-fasttext.*]
+ignore_missing_imports = True
+
+[mypy-pytest.*]
+ignore_missing_imports = True
diff --git a/poetry.lock b/poetry.lock
index 169937cbac140f615d1cbb4e37c06d5e5778dda3..6af56bfabea098d49b8ec52b29590d304ec1d433 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -59,12 +59,15 @@ optional = false
python-versions = "*"
[[package]]
-name = "chardet"
-version = "4.0.0"
-description = "Universal encoding detector for Python 2 and 3"
+name = "charset-normalizer"
+version = "2.0.4"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.5.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
[[package]]
name = "click"
@@ -99,15 +102,15 @@ pybind11 = ">=2.2"
[[package]]
name = "idna"
-version = "2.10"
+version = "3.2"
description = "Internationalized Domain Names in Applications (IDNA)"
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.5"
[[package]]
name = "isort"
-version = "5.9.1"
+version = "5.9.3"
description = "A Python utility / library to sort Python imports."
category = "dev"
optional = false
@@ -153,7 +156,7 @@ python-versions = "*"
[[package]]
name = "numpy"
-version = "1.21.0"
+version = "1.21.1"
description = "NumPy is the fundamental package for array computing with Python."
category = "main"
optional = false
@@ -161,30 +164,30 @@ python-versions = ">=3.7"
[[package]]
name = "packaging"
-version = "20.9"
+version = "21.0"
description = "Core utilities for Python packages"
category = "dev"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
[package.dependencies]
pyparsing = ">=2.0.2"
[[package]]
name = "pandas"
-version = "1.2.5"
+version = "1.3.1"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.7.1"
[package.dependencies]
-numpy = ">=1.16.5"
+numpy = ">=1.17.3"
python-dateutil = ">=2.7.3"
pytz = ">=2017.3"
[package.extras]
-test = ["pytest (>=5.0.1)", "pytest-xdist", "hypothesis (>=3.58)"]
+test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
[[package]]
name = "pastel"
@@ -196,11 +199,11 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pathspec"
-version = "0.8.1"
+version = "0.9.0"
description = "Utility library for gitignore style pattern matching of file paths."
category = "dev"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
[[package]]
name = "pluggy"
@@ -235,14 +238,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pybind11"
-version = "2.6.2"
+version = "2.7.0"
description = "Seamless operability between C++11 and Python"
category = "main"
optional = false
python-versions = "!=3.0,!=3.1,!=3.2,!=3.3,!=3.4,>=2.7"
[package.extras]
-global = ["pybind11-global (==2.6.2)"]
+global = ["pybind11-global (==2.7.0)"]
[[package]]
name = "pyflakes"
@@ -254,7 +257,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pymongo"
-version = "3.11.4"
+version = "3.12.0"
description = "Python driver for MongoDB <http://www.mongodb.org>"
category = "main"
optional = false
@@ -262,9 +265,9 @@ python-versions = "*"
[package.extras]
aws = ["pymongo-auth-aws (<2.0.0)"]
-encryption = ["pymongocrypt (<2.0.0)"]
+encryption = ["pymongocrypt (>=1.1.0,<2.0.0)"]
gssapi = ["pykerberos"]
-ocsp = ["pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)"]
+ocsp = ["pyopenssl (>=17.2.0)", "requests (<3.0.0)", "service-identity (>=18.1.0)", "certifi"]
snappy = ["python-snappy"]
srv = ["dnspython (>=1.16.0,<1.17.0)"]
tls = ["ipaddress"]
@@ -302,7 +305,7 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
[[package]]
name = "python-dateutil"
-version = "2.8.1"
+version = "2.8.2"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
@@ -321,7 +324,7 @@ python-versions = "*"
[[package]]
name = "regex"
-version = "2021.4.4"
+version = "2021.7.6"
description = "Alternative regular expression module, to replace re."
category = "dev"
optional = false
@@ -329,21 +332,21 @@ python-versions = "*"
[[package]]
name = "requests"
-version = "2.25.1"
+version = "2.26.0"
description = "Python HTTP for Humans."
category = "main"
optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+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)", "win-inet-pton"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
[[package]]
name = "six"
@@ -434,9 +437,9 @@ certifi = [
{file = "certifi-2021.5.30-py2.py3-none-any.whl", hash = "sha256:50b1e4f8446b06f41be7dd6338db18e0990601dce795c2b1686458aa7e8fa7d8"},
{file = "certifi-2021.5.30.tar.gz", hash = "sha256:2bbf76fd432960138b3ef6dda3dde0544f27cbf8546c458e60baf371917ba9ee"},
]
-chardet = [
- {file = "chardet-4.0.0-py2.py3-none-any.whl", hash = "sha256:f864054d66fd9118f2e67044ac8981a54775ec5b67aed0441892edb553d21da5"},
- {file = "chardet-4.0.0.tar.gz", hash = "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa"},
+charset-normalizer = [
+ {file = "charset-normalizer-2.0.4.tar.gz", hash = "sha256:f23667ebe1084be45f6ae0538e4a5a865206544097e4e8bbcacf42cd02a348f3"},
+ {file = "charset_normalizer-2.0.4-py3-none-any.whl", hash = "sha256:0c8911edd15d19223366a194a513099a302055a962bca2cec0f54b8b63175d8b"},
]
click = [
{file = "click-8.0.1-py3-none-any.whl", hash = "sha256:fba402a4a47334742d782209a7c79bc448911afe1149d07bdabdf480b3e2f4b6"},
@@ -450,12 +453,12 @@ fasttext = [
{file = "fasttext-0.9.2.tar.gz", hash = "sha256:665556f1f6dcb4fcbe25fa8ebcd4f71b18fa96a090de09d88d97a60cbd29dcb5"},
]
idna = [
- {file = "idna-2.10-py2.py3-none-any.whl", hash = "sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0"},
- {file = "idna-2.10.tar.gz", hash = "sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6"},
+ {file = "idna-3.2-py3-none-any.whl", hash = "sha256:14475042e284991034cb48e06f6851428fb14c4dc953acd9be9a5e95c7b6dd7a"},
+ {file = "idna-3.2.tar.gz", hash = "sha256:467fbad99067910785144ce333826c71fb0e63a425657295239737f7ecd125f3"},
]
isort = [
- {file = "isort-5.9.1-py3-none-any.whl", hash = "sha256:8e2c107091cfec7286bc0f68a547d0ba4c094d460b732075b6fba674f1035c0c"},
- {file = "isort-5.9.1.tar.gz", hash = "sha256:83510593e07e433b77bd5bff0f6f607dbafa06d1a89022616f02d8b699cfcd56"},
+ {file = "isort-5.9.3-py3-none-any.whl", hash = "sha256:e17d6e2b81095c9db0a03a8025a957f334d6ea30b26f9ec70805411e5c7c81f2"},
+ {file = "isort-5.9.3.tar.gz", hash = "sha256:9c2ea1e62d871267b78307fe511c0838ba0da28698c5732d54e2790bf3ba9899"},
]
more-itertools = [
{file = "more-itertools-8.8.0.tar.gz", hash = "sha256:83f0308e05477c68f56ea3a888172c78ed5d5b3c282addb67508e7ba6c8f813a"},
@@ -490,66 +493,67 @@ mypy-extensions = [
{file = "mypy_extensions-0.4.3.tar.gz", hash = "sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8"},
]
numpy = [
- {file = "numpy-1.21.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d5caa946a9f55511e76446e170bdad1d12d6b54e17a2afe7b189112ed4412bb8"},
- {file = "numpy-1.21.0-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:ac4fd578322842dbda8d968e3962e9f22e862b6ec6e3378e7415625915e2da4d"},
- {file = "numpy-1.21.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:598fe100b2948465cf3ed64b1a326424b5e4be2670552066e17dfaa67246011d"},
- {file = "numpy-1.21.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c55407f739f0bfcec67d0df49103f9333edc870061358ac8a8c9e37ea02fcd2"},
- {file = "numpy-1.21.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:75579acbadbf74e3afd1153da6177f846212ea2a0cc77de53523ae02c9256513"},
- {file = "numpy-1.21.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:cc367c86eb87e5b7c9592935620f22d13b090c609f1b27e49600cd033b529f54"},
- {file = "numpy-1.21.0-cp37-cp37m-win32.whl", hash = "sha256:d89b0dc7f005090e32bb4f9bf796e1dcca6b52243caf1803fdd2b748d8561f63"},
- {file = "numpy-1.21.0-cp37-cp37m-win_amd64.whl", hash = "sha256:eda2829af498946c59d8585a9fd74da3f810866e05f8df03a86f70079c7531dd"},
- {file = "numpy-1.21.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:1a784e8ff7ea2a32e393cc53eb0003eca1597c7ca628227e34ce34eb11645a0e"},
- {file = "numpy-1.21.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bba474a87496d96e61461f7306fba2ebba127bed7836212c360f144d1e72ac54"},
- {file = "numpy-1.21.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:fd0a359c1c17f00cb37de2969984a74320970e0ceef4808c32e00773b06649d9"},
- {file = "numpy-1.21.0-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:e4d5a86a5257843a18fb1220c5f1c199532bc5d24e849ed4b0289fb59fbd4d8f"},
- {file = "numpy-1.21.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:620732f42259eb2c4642761bd324462a01cdd13dd111740ce3d344992dd8492f"},
- {file = "numpy-1.21.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9205711e5440954f861ceeea8f1b415d7dd15214add2e878b4d1cf2bcb1a914"},
- {file = "numpy-1.21.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ad09f55cc95ed8d80d8ab2052f78cc21cb231764de73e229140d81ff49d8145e"},
- {file = "numpy-1.21.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:a1f2fb2da242568af0271455b89aee0f71e4e032086ee2b4c5098945d0e11cf6"},
- {file = "numpy-1.21.0-cp38-cp38-win32.whl", hash = "sha256:e58ddb53a7b4959932f5582ac455ff90dcb05fac3f8dcc8079498d43afbbde6c"},
- {file = "numpy-1.21.0-cp38-cp38-win_amd64.whl", hash = "sha256:d2910d0a075caed95de1a605df00ee03b599de5419d0b95d55342e9a33ad1fb3"},
- {file = "numpy-1.21.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:a290989cd671cd0605e9c91a70e6df660f73ae87484218e8285c6522d29f6e38"},
- {file = "numpy-1.21.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3537b967b350ad17633b35c2f4b1a1bbd258c018910b518c30b48c8e41272717"},
- {file = "numpy-1.21.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ccc6c650f8700ce1e3a77668bb7c43e45c20ac06ae00d22bdf6760b38958c883"},
- {file = "numpy-1.21.0-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:709884863def34d72b183d074d8ba5cfe042bc3ff8898f1ffad0209161caaa99"},
- {file = "numpy-1.21.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:bebab3eaf0641bba26039fb0b2c5bf9b99407924b53b1ea86e03c32c64ef5aef"},
- {file = "numpy-1.21.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf680682ad0a3bef56dae200dbcbac2d57294a73e5b0f9864955e7dd7c2c2491"},
- {file = "numpy-1.21.0-cp39-cp39-win32.whl", hash = "sha256:d95d16204cd51ff1a1c8d5f9958ce90ae190be81d348b514f9be39f878b8044a"},
- {file = "numpy-1.21.0-cp39-cp39-win_amd64.whl", hash = "sha256:2ba579dde0563f47021dcd652253103d6fd66165b18011dce1a0609215b2791e"},
- {file = "numpy-1.21.0-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:3c40e6b860220ed862e8097b8f81c9af6d7405b723f4a7af24a267b46f90e461"},
- {file = "numpy-1.21.0.zip", hash = "sha256:e80fe25cba41c124d04c662f33f6364909b985f2eb5998aaa5ae4b9587242cce"},
+ {file = "numpy-1.21.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:38e8648f9449a549a7dfe8d8755a5979b45b3538520d1e735637ef28e8c2dc50"},
+ {file = "numpy-1.21.1-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fd7d7409fa643a91d0a05c7554dd68aa9c9bb16e186f6ccfe40d6e003156e33a"},
+ {file = "numpy-1.21.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a75b4498b1e93d8b700282dc8e655b8bd559c0904b3910b144646dbbbc03e062"},
+ {file = "numpy-1.21.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1412aa0aec3e00bc23fbb8664d76552b4efde98fb71f60737c83efbac24112f1"},
+ {file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e46ceaff65609b5399163de5893d8f2a82d3c77d5e56d976c8b5fb01faa6b671"},
+ {file = "numpy-1.21.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c6a2324085dd52f96498419ba95b5777e40b6bcbc20088fddb9e8cbb58885e8e"},
+ {file = "numpy-1.21.1-cp37-cp37m-win32.whl", hash = "sha256:73101b2a1fef16602696d133db402a7e7586654682244344b8329cdcbbb82172"},
+ {file = "numpy-1.21.1-cp37-cp37m-win_amd64.whl", hash = "sha256:7a708a79c9a9d26904d1cca8d383bf869edf6f8e7650d85dbc77b041e8c5a0f8"},
+ {file = "numpy-1.21.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:95b995d0c413f5d0428b3f880e8fe1660ff9396dcd1f9eedbc311f37b5652e16"},
+ {file = "numpy-1.21.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:635e6bd31c9fb3d475c8f44a089569070d10a9ef18ed13738b03049280281267"},
+ {file = "numpy-1.21.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4a3d5fb89bfe21be2ef47c0614b9c9c707b7362386c9a3ff1feae63e0267ccb6"},
+ {file = "numpy-1.21.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8a326af80e86d0e9ce92bcc1e65c8ff88297de4fa14ee936cb2293d414c9ec63"},
+ {file = "numpy-1.21.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:791492091744b0fe390a6ce85cc1bf5149968ac7d5f0477288f78c89b385d9af"},
+ {file = "numpy-1.21.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0318c465786c1f63ac05d7c4dbcecd4d2d7e13f0959b01b534ea1e92202235c5"},
+ {file = "numpy-1.21.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a513bd9c1551894ee3d31369f9b07460ef223694098cf27d399513415855b68"},
+ {file = "numpy-1.21.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:91c6f5fc58df1e0a3cc0c3a717bb3308ff850abdaa6d2d802573ee2b11f674a8"},
+ {file = "numpy-1.21.1-cp38-cp38-win32.whl", hash = "sha256:978010b68e17150db8765355d1ccdd450f9fc916824e8c4e35ee620590e234cd"},
+ {file = "numpy-1.21.1-cp38-cp38-win_amd64.whl", hash = "sha256:9749a40a5b22333467f02fe11edc98f022133ee1bfa8ab99bda5e5437b831214"},
+ {file = "numpy-1.21.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:d7a4aeac3b94af92a9373d6e77b37691b86411f9745190d2c351f410ab3a791f"},
+ {file = "numpy-1.21.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d9e7912a56108aba9b31df688a4c4f5cb0d9d3787386b87d504762b6754fbb1b"},
+ {file = "numpy-1.21.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:25b40b98ebdd272bc3020935427a4530b7d60dfbe1ab9381a39147834e985eac"},
+ {file = "numpy-1.21.1-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8a92c5aea763d14ba9d6475803fc7904bda7decc2a0a68153f587ad82941fec1"},
+ {file = "numpy-1.21.1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:05a0f648eb28bae4bcb204e6fd14603de2908de982e761a2fc78efe0f19e96e1"},
+ {file = "numpy-1.21.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f01f28075a92eede918b965e86e8f0ba7b7797a95aa8d35e1cc8821f5fc3ad6a"},
+ {file = "numpy-1.21.1-cp39-cp39-win32.whl", hash = "sha256:88c0b89ad1cc24a5efbb99ff9ab5db0f9a86e9cc50240177a571fbe9c2860ac2"},
+ {file = "numpy-1.21.1-cp39-cp39-win_amd64.whl", hash = "sha256:01721eefe70544d548425a07c80be8377096a54118070b8a62476866d5208e33"},
+ {file = "numpy-1.21.1-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2d4d1de6e6fb3d28781c73fbde702ac97f03d79e4ffd6598b880b2d95d62ead4"},
+ {file = "numpy-1.21.1.zip", hash = "sha256:dff4af63638afcc57a3dfb9e4b26d434a7a602d225b42d746ea7fe2edf1342fd"},
]
packaging = [
- {file = "packaging-20.9-py2.py3-none-any.whl", hash = "sha256:67714da7f7bc052e064859c05c595155bd1ee9f69f76557e21f051443c20947a"},
- {file = "packaging-20.9.tar.gz", hash = "sha256:5b327ac1320dc863dca72f4514ecc086f31186744b84a230374cc1fd776feae5"},
+ {file = "packaging-21.0-py3-none-any.whl", hash = "sha256:c86254f9220d55e31cc94d69bade760f0847da8000def4dfe1c6b872fd14ff14"},
+ {file = "packaging-21.0.tar.gz", hash = "sha256:7dc96269f53a4ccec5c0670940a4281106dd0bb343f47b7471f779df49c2fbe7"},
]
pandas = [
- {file = "pandas-1.2.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:1102d719038e134e648e7920672188a00375f3908f0383fd3b202fbb9d2c3a95"},
- {file = "pandas-1.2.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:38e7486410de23069392bdf1dc7297ae75d2d67531750753f3149c871cd1c6e3"},
- {file = "pandas-1.2.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:94ca6ea3f46f44a979a38a4d5a70a88cee734f7248d7aeeed202e6b3ba485af1"},
- {file = "pandas-1.2.5-cp37-cp37m-win32.whl", hash = "sha256:821d92466fcd2826656374a9b6fe4f2ec2ba5e370cce71d5a990577929d948df"},
- {file = "pandas-1.2.5-cp37-cp37m-win_amd64.whl", hash = "sha256:0dbd125b0e44e5068163cbc9080a00db1756a5e36309329ae14fd259747f2300"},
- {file = "pandas-1.2.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7b09293c7119ab22ab3f7f086f813ac2acbfa3bcaaaeb650f4cddfb5b9fa9be4"},
- {file = "pandas-1.2.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc9215dd1dd836ff26b896654e66b2dfcf4bbb18aa4c1089a79bab527b665a90"},
- {file = "pandas-1.2.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e36515163829e0e95a6af10820f178dd8768102482c01872bff8ae592e508e58"},
- {file = "pandas-1.2.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:0c34b89215f984a9e4956446e0a29330d720085efa08ea72022387ee37d8b373"},
- {file = "pandas-1.2.5-cp38-cp38-win32.whl", hash = "sha256:f20e4b8a7909f5a0c0a9e745091e3ea18b45af9f73496a4d498688badbdac7ea"},
- {file = "pandas-1.2.5-cp38-cp38-win_amd64.whl", hash = "sha256:9244fb0904512b074d8c6362fb13aac1da6c4db94372760ddb2565c620240264"},
- {file = "pandas-1.2.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c862cd72353921c102166784fc4db749f1c3b691dd017fc36d9df2c67a9afe4e"},
- {file = "pandas-1.2.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d9e6edddeac9a8e473391d2d2067bb3c9dc7ad79fd137af26a39ee425c2b4c78"},
- {file = "pandas-1.2.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a67227e17236442c6bc31c02cb713b5277b26eee204eac14b5aecba52492e3a3"},
- {file = "pandas-1.2.5-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4bfbf62b00460f78a8bc4407112965c5ab44324f34551e8e1f4cac271a07706c"},
- {file = "pandas-1.2.5-cp39-cp39-win32.whl", hash = "sha256:25fc8ef6c6beb51c9224284a1ad89dfb591832f23ceff78845f182de35c52356"},
- {file = "pandas-1.2.5-cp39-cp39-win_amd64.whl", hash = "sha256:78de96c1174bcfdbe8dece9c38c2d7994e407fd8bb62146bb46c61294bcc06ef"},
- {file = "pandas-1.2.5.tar.gz", hash = "sha256:14abb8ea73fce8aebbb1fb44bec809163f1c55241bcc1db91c2c780e97265033"},
+ {file = "pandas-1.3.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:1ee8418d0f936ff2216513aa03e199657eceb67690995d427a4a7ecd2e68f442"},
+ {file = "pandas-1.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d9acfca191140a518779d1095036d842d5e5bc8e8ad8b5eaad1aff90fe1870d"},
+ {file = "pandas-1.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e323028ab192fcfe1e8999c012a0fa96d066453bb354c7e7a4a267b25e73d3c8"},
+ {file = "pandas-1.3.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9d06661c6eb741ae633ee1c57e8c432bb4203024e263fe1a077fa3fda7817fdb"},
+ {file = "pandas-1.3.1-cp37-cp37m-win32.whl", hash = "sha256:23c7452771501254d2ae23e9e9dac88417de7e6eff3ce64ee494bb94dc88c300"},
+ {file = "pandas-1.3.1-cp37-cp37m-win_amd64.whl", hash = "sha256:7150039e78a81eddd9f5a05363a11cadf90a4968aac6f086fd83e66cf1c8d1d6"},
+ {file = "pandas-1.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5c09a2538f0fddf3895070579082089ff4ae52b6cb176d8ec7a4dacf7e3676c1"},
+ {file = "pandas-1.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:905fc3e0fcd86b0a9f1f97abee7d36894698d2592b22b859f08ea5a8fe3d3aab"},
+ {file = "pandas-1.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ee927c70794e875a59796fab8047098aa59787b1be680717c141cd7873818ae"},
+ {file = "pandas-1.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0c976e023ed580e60a82ccebdca8e1cc24d8b1fbb28175eb6521025c127dab66"},
+ {file = "pandas-1.3.1-cp38-cp38-win32.whl", hash = "sha256:22f3fcc129fb482ef44e7df2a594f0bd514ac45aabe50da1a10709de1b0f9d84"},
+ {file = "pandas-1.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:45656cd59ae9745a1a21271a62001df58342b59c66d50754390066db500a8362"},
+ {file = "pandas-1.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:114c6789d15862508900a25cb4cb51820bfdd8595ea306bab3b53cd19f990b65"},
+ {file = "pandas-1.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:527c43311894aff131dea99cf418cd723bfd4f0bcf3c3da460f3b57e52a64da5"},
+ {file = "pandas-1.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fdb3b33dde260b1766ea4d3c6b8fbf6799cee18d50a2a8bc534cf3550b7c819a"},
+ {file = "pandas-1.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c28760932283d2c9f6fa5e53d2f77a514163b9e67fd0ee0879081be612567195"},
+ {file = "pandas-1.3.1-cp39-cp39-win32.whl", hash = "sha256:be12d77f7e03c40a2466ed00ccd1a5f20a574d3c622fe1516037faa31aa448aa"},
+ {file = "pandas-1.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:9e1fe6722cbe27eb5891c1977bca62d456c19935352eea64d33956db46139364"},
+ {file = "pandas-1.3.1.tar.gz", hash = "sha256:341935a594db24f3ff07d1b34d1d231786aa9adfa84b76eab10bf42907c8aed3"},
]
pastel = [
{file = "pastel-0.2.1-py2.py3-none-any.whl", hash = "sha256:4349225fcdf6c2bb34d483e523475de5bb04a5c10ef711263452cb37d7dd4364"},
{file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"},
]
pathspec = [
- {file = "pathspec-0.8.1-py2.py3-none-any.whl", hash = "sha256:aa0cb481c4041bf52ffa7b0d8fa6cd3e88a2ca4879c533c9153882ee2556790d"},
- {file = "pathspec-0.8.1.tar.gz", hash = "sha256:86379d6b86d75816baba717e64b1a3a3469deb93bb76d613c9ce79edc5cb68fd"},
+ {file = "pathspec-0.9.0-py2.py3-none-any.whl", hash = "sha256:7d15c4ddb0b5c802d161efc417ec1a2558ea2653c2e8ad9c19098201dc1c993a"},
+ {file = "pathspec-0.9.0.tar.gz", hash = "sha256:e564499435a2673d586f6b2130bb5b95f04a3ba06f81b8f895b651a3c76aabb1"},
]
pluggy = [
{file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
@@ -564,78 +568,112 @@ py = [
{file = "py-1.10.0.tar.gz", hash = "sha256:21b81bda15b66ef5e1a777a21c4dcd9c20ad3efd0b3f817e7a809035269e1bd3"},
]
pybind11 = [
- {file = "pybind11-2.6.2-py2.py3-none-any.whl", hash = "sha256:2d8aebe1709bc367e34e3b23d8eccbf3f387ee9d5640548c6260d33b59f02405"},
- {file = "pybind11-2.6.2.tar.gz", hash = "sha256:d0e0aed9279656f21501243b707eb6e3b951e89e10c3271dedf3ae41c365e5ed"},
+ {file = "pybind11-2.7.0-py2.py3-none-any.whl", hash = "sha256:71dfd6e61f6aef3e24eda3b9770a0d53072346871f9f5a0510598ec86b5f9dc2"},
+ {file = "pybind11-2.7.0.tar.gz", hash = "sha256:3e2a9a94396fbb27e75acf28d3de26e029576be1d4b38acc846ae08ef0eb3033"},
]
pyflakes = [
{file = "pyflakes-2.3.1-py2.py3-none-any.whl", hash = "sha256:7893783d01b8a89811dd72d7dfd4d84ff098e5eed95cfa8905b22bbffe52efc3"},
{file = "pyflakes-2.3.1.tar.gz", hash = "sha256:f5bc8ecabc05bb9d291eb5203d6810b49040f6ff446a756326104746cc00c1db"},
]
pymongo = [
- {file = "pymongo-3.11.4-cp27-cp27m-macosx_10_14_intel.whl", hash = "sha256:b7efc7e7049ef366777cfd35437c18a4166bb50a5606a1c840ee3b9624b54fc9"},
- {file = "pymongo-3.11.4-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:517ba47ca04a55b1f50ee8df9fd97f6c37df5537d118fb2718952b8623860466"},
- {file = "pymongo-3.11.4-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:225c61e08fe517aede7912937939e09adf086c8e6f7e40d4c85ad678c2c2aea3"},
- {file = "pymongo-3.11.4-cp27-cp27m-win32.whl", hash = "sha256:e4e9db78b71db2b1684ee4ecc3e32c4600f18cdf76e6b9ae03e338e52ee4b168"},
- {file = "pymongo-3.11.4-cp27-cp27m-win_amd64.whl", hash = "sha256:8e0004b0393d72d76de94b4792a006cb960c1c65c7659930fbf9a81ce4341982"},
- {file = "pymongo-3.11.4-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:fedf0dee7a412ca6d1d6d92c158fe9cbaa8ea0cae90d268f9ccc0744de7a97d0"},
- {file = "pymongo-3.11.4-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:f947b359cc4769af8b49be7e37af01f05fcf15b401da2528021148e4a54426d1"},
- {file = "pymongo-3.11.4-cp34-cp34m-macosx_10_6_intel.whl", hash = "sha256:3a3498a8326111221560e930f198b495ea6926937e249f475052ffc6893a6680"},
- {file = "pymongo-3.11.4-cp34-cp34m-manylinux1_i686.whl", hash = "sha256:9a4f6e0b01df820ba9ed0b4e618ca83a1c089e48d4f268d0e00dcd49893d4549"},
- {file = "pymongo-3.11.4-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:d65bac5f6724d9ea6f0b5a0f0e4952fbbf209adcf6b5583b54c54bd2fcd74dc0"},
- {file = "pymongo-3.11.4-cp34-cp34m-win32.whl", hash = "sha256:15b083d1b789b230e5ac284442d9ecb113c93f3785a6824f748befaab803b812"},
- {file = "pymongo-3.11.4-cp34-cp34m-win_amd64.whl", hash = "sha256:f08665d3cc5abc2f770f472a9b5f720a9b3ab0b8b3bb97c7c1487515e5653d39"},
- {file = "pymongo-3.11.4-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:977b1d4f868986b4ba5d03c317fde4d3b66e687d74473130cd598e3103db34fa"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:510cd3bfabb63a07405b7b79fae63127e34c118b7531a2cbbafc7a24fd878594"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:071552b065e809d24c5653fcc14968cfd6fde4e279408640d5ac58e3353a3c5f"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux2014_aarch64.whl", hash = "sha256:f4ba58157e8ae33ee86fadf9062c506e535afd904f07f9be32731f4410a23b7f"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux2014_i686.whl", hash = "sha256:b413117210fa6d92664c3d860571e8e8727c3e8f2ff197276c5d0cb365abd3ad"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux2014_ppc64le.whl", hash = "sha256:08b8723248730599c9803ae4c97b8f3f76c55219104303c88cb962a31e3bb5ee"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux2014_s390x.whl", hash = "sha256:8a41fdc751dc4707a4fafb111c442411816a7c225ebb5cadb57599534b5d5372"},
- {file = "pymongo-3.11.4-cp35-cp35m-manylinux2014_x86_64.whl", hash = "sha256:f664ed7613b8b18f0ce5696b146776266a038c19c5cd6efffa08ecc189b01b73"},
- {file = "pymongo-3.11.4-cp35-cp35m-win32.whl", hash = "sha256:5c36428cc4f7fae56354db7f46677fd21222fc3cb1e8829549b851172033e043"},
- {file = "pymongo-3.11.4-cp35-cp35m-win_amd64.whl", hash = "sha256:d0a70151d7de8a3194cdc906bcc1a42e14594787c64b0c1c9c975e5a2af3e251"},
- {file = "pymongo-3.11.4-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:9b9298964389c180a063a9e8bac8a80ed42de11d04166b20249bfa0a489e0e0f"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:b2f41261b648cf5dee425f37ff14f4ad151c2f24b827052b402637158fd056ef"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:e02beaab433fd1104b2804f909e694cfbdb6578020740a9051597adc1cd4e19f"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:8898f6699f740ca93a0879ed07d8e6db02d68af889d0ebb3d13ab017e6b1af1e"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:62c29bc36a6d9be68fe7b5aaf1e120b4aa66a958d1e146601fcd583eb12cae7b"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux2014_ppc64le.whl", hash = "sha256:424799c71ff435094e5fb823c40eebb4500f0e048133311e9c026467e8ccebac"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux2014_s390x.whl", hash = "sha256:3551912f5c34d8dd7c32c6bb00ae04192af47f7b9f653608f107d19c1a21a194"},
- {file = "pymongo-3.11.4-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:5db59223ed1e634d842a053325f85f908359c6dac9c8ddce8ef145061fae7df8"},
- {file = "pymongo-3.11.4-cp36-cp36m-win32.whl", hash = "sha256:fea5cb1c63efe1399f0812532c7cf65458d38fd011be350bc5021dfcac39fba8"},
- {file = "pymongo-3.11.4-cp36-cp36m-win_amd64.whl", hash = "sha256:d4e62417e89b717a7bcd8576ac3108cd063225942cc91c5b37ff5465fdccd386"},
- {file = "pymongo-3.11.4-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:4c7e8c8e1e1918dcf6a652ac4b9d87164587c26fd2ce5dd81e73a5ab3b3d492f"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:38a7b5140a48fc91681cdb5cb95b7cd64640b43d19259fdd707fa9d5a715f2b2"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:aff3656af2add93f290731a6b8930b23b35c0c09569150130a58192b3ec6fc61"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:03be7ad107d252bb7325d4af6309fdd2c025d08854d35f0e7abc8bf048f4245e"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:6060794aac9f7b0644b299f46a9c6cbc0bc470bd01572f4134df140afd41ded6"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux2014_ppc64le.whl", hash = "sha256:73326b211e7410c8bd6a74500b1e3f392f39cf10862e243d00937e924f112c01"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux2014_s390x.whl", hash = "sha256:20d75ea11527331a2980ab04762a9d960bcfea9475c54bbeab777af880de61cd"},
- {file = "pymongo-3.11.4-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:3135dd574ef1286189f3f04a36c8b7a256376914f8cbbce66b94f13125ded858"},
- {file = "pymongo-3.11.4-cp37-cp37m-win32.whl", hash = "sha256:7c97554ea521f898753d9773891d0347ebfaddcc1dee2ad94850b163171bf1f1"},
- {file = "pymongo-3.11.4-cp37-cp37m-win_amd64.whl", hash = "sha256:a08c8b322b671857c81f4c30cd3c8df2895fd3c0e9358714f39e0ef8fb327702"},
- {file = "pymongo-3.11.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f3d851af3852f16ad4adc7ee054fd9c90a7a5063de94d815b7f6a88477b9f4c6"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:3bfc7689a1bacb9bcd2f2d5185d99507aa29f667a58dd8adaa43b5a348139e46"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:b8f94acd52e530a38f25e4d5bf7ddfdd4bea9193e718f58419def0d4406b58d3"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e4b631688dfbdd61b5610e20b64b99d25771c6d52d9da73349342d2a0f11c46a"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:474e21d0e07cd09679e357d1dac76e570dab86665e79a9d3354b10a279ac6fb3"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux2014_ppc64le.whl", hash = "sha256:421d13523d11c57f57f257152bc4a6bb463aadf7a3918e9c96fefdd6be8dbfb8"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux2014_s390x.whl", hash = "sha256:0cabfc297f4cf921f15bc789a8fbfd7115eb9f813d3f47a74b609894bc66ab0d"},
- {file = "pymongo-3.11.4-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:fe4189846448df013cd9df11bba38ddf78043f8c290a9f06430732a7a8601cce"},
- {file = "pymongo-3.11.4-cp38-cp38-win32.whl", hash = "sha256:eb4d176394c37a76e8b0afe54b12d58614a67a60a7f8c0dd3a5afbb013c01092"},
- {file = "pymongo-3.11.4-cp38-cp38-win_amd64.whl", hash = "sha256:fffff7bfb6799a763d3742c59c6ee7ffadda21abed557637bc44ed1080876484"},
- {file = "pymongo-3.11.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:13acf6164ead81c9fc2afa0e1ea6d6134352973ce2bb35496834fee057063c04"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux1_i686.whl", hash = "sha256:d360e5d5dd3d55bf5d1776964625018d85b937d1032bae1926dd52253decd0db"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0aaf4d44f1f819360f9432df538d54bbf850f18152f34e20337c01b828479171"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:08bda7b2c522ff9f1e554570da16298271ebb0c56ab9699446aacba249008988"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:1a994a42f49dab5b6287e499be7d3d2751776486229980d8857ad53b8333d469"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux2014_ppc64le.whl", hash = "sha256:161fcd3281c42f644aa8dec7753cca2af03ce654e17d76da4f0dab34a12480ca"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux2014_s390x.whl", hash = "sha256:78f07961f4f214ea8e80be63cffd5cc158eb06cd922ffbf6c7155b11728f28f9"},
- {file = "pymongo-3.11.4-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:ad31f184dcd3271de26ab1f9c51574afb99e1b0e484ab1da3641256b723e4994"},
- {file = "pymongo-3.11.4-cp39-cp39-win32.whl", hash = "sha256:5e606846c049ed40940524057bfdf1105af6066688c0e6a1a3ce2038589bae70"},
- {file = "pymongo-3.11.4-cp39-cp39-win_amd64.whl", hash = "sha256:3491c7de09e44eded16824cb58cf9b5cc1dc6f066a0bb7aa69929d02aa53b828"},
- {file = "pymongo-3.11.4-py2.7-macosx-10.14-intel.egg", hash = "sha256:506a6dab4c7ffdcacdf0b8e70bd20eb2e77fa994519547c9d88d676400fcad58"},
- {file = "pymongo-3.11.4.tar.gz", hash = "sha256:539d4cb1b16b57026999c53e5aab857fe706e70ae5310cc8c232479923f932e6"},
+ {file = "pymongo-3.12.0-cp27-cp27m-macosx_10_14_intel.whl", hash = "sha256:072ba7cb65c8aa4d5c5659bf6722ee85781c9d7816dc00679b8b6f3dff1ddafc"},
+ {file = "pymongo-3.12.0-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:d6e11ffd43184d529d6752d6dcb62b994f903038a17ea2168ef1910c96324d26"},
+ {file = "pymongo-3.12.0-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:7412a36798966624dc4c57d64aa43c2d1100b348abd98daaac8e99e57d87e1d7"},
+ {file = "pymongo-3.12.0-cp27-cp27m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e8a82e35d52ad6f867e88096a1a2b9bdc7ec4d5e65c7b4976a248bf2d1a32a93"},
+ {file = "pymongo-3.12.0-cp27-cp27m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:dcd3d0009fbb6e454d729f8b22d0063bd9171c31a55e0f0271119bd4f2700023"},
+ {file = "pymongo-3.12.0-cp27-cp27m-win32.whl", hash = "sha256:1bc6fe7279ff40c6818db002bf5284aa03ec181ea1b1ceaeee33c289d412afa7"},
+ {file = "pymongo-3.12.0-cp27-cp27m-win_amd64.whl", hash = "sha256:e2b7670c0c8c6b501464150dd49dd0d6be6cb7f049e064124911cec5514fa19e"},
+ {file = "pymongo-3.12.0-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:316c1b8723afa9870567cd6dff35d440b2afeda53aa13da6c5ab85f98ed6f5ca"},
+ {file = "pymongo-3.12.0-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:255a35bf29185f44b412e31a927d9dcedda7c2c380127ecc4fbf2f61b72fa978"},
+ {file = "pymongo-3.12.0-cp27-cp27mu-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ffbae429ba9e42d0582d3ac63fdb410338892468a2107d8ff68228ec9a39a0ed"},
+ {file = "pymongo-3.12.0-cp27-cp27mu-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:c188db6cf9e14dbbb42f5254292be96f05374a35e7dfa087cc2140f0ff4f10f6"},
+ {file = "pymongo-3.12.0-cp34-cp34m-macosx_10_6_intel.whl", hash = "sha256:6fb3f85870ae26896bb44e67db94045f2ebf00c5d41e6b66cdcbb5afd644fc18"},
+ {file = "pymongo-3.12.0-cp34-cp34m-manylinux1_i686.whl", hash = "sha256:aaa038eafb7186a4abbb311fcf20724be9363645882bbce540bef4797e812a7a"},
+ {file = "pymongo-3.12.0-cp34-cp34m-manylinux1_x86_64.whl", hash = "sha256:7d98ce3c42921bb91566121b658e0d9d59a9082a9bd6f473190607ff25ab637f"},
+ {file = "pymongo-3.12.0-cp34-cp34m-win32.whl", hash = "sha256:b0a0cf39f589e52d801fdef418305562bc030cdf8929217463c8433c65fd5c2f"},
+ {file = "pymongo-3.12.0-cp34-cp34m-win_amd64.whl", hash = "sha256:ceae3ab9e11a27aaab42878f1d203600dfd24f0e43678b47298219a0f10c0d30"},
+ {file = "pymongo-3.12.0-cp35-cp35m-macosx_10_6_intel.whl", hash = "sha256:5e574664f1468872cd40f74e4811e22b1aa4de9399d6bcfdf1ee6ea94c017fcf"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:73b400fdc22de84bae0dbf1a22613928a41612ec0a3d6ed47caf7ad4d3d0f2ff"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:cbf8672edeb7b7128c4a939274801f0e32bbf5159987815e3d1eace625264a46"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux2014_aarch64.whl", hash = "sha256:a634a4730ce0b0934ed75e45beba730968e12b4dafbb22f69b3b2f616d9e644e"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux2014_i686.whl", hash = "sha256:c55782a55f4a013a78ac5b6ee4b8731a192dea7ab09f1b6b3044c96d5128edd4"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux2014_ppc64le.whl", hash = "sha256:11f9e0cfc84ade088a38df2708d0b958bb76360181df1b2e1e1a41beaa57952b"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux2014_s390x.whl", hash = "sha256:186104a94d39b8412f8e3de385acd990a628346a4402d4f3a288a82b8660bd22"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux2014_x86_64.whl", hash = "sha256:70761fd3c576b027eec882b43ee0a8e5b22ff9c20cdf4d0400e104bc29e53e34"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:333bfad77aa9cd11711febfb75eed0bb537a1d022e1c252714dad38993590240"},
+ {file = "pymongo-3.12.0-cp35-cp35m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:fa8957e9a1b202cb45e6b839c241cd986c897be1e722b81d2f32e9c6aeee80b0"},
+ {file = "pymongo-3.12.0-cp35-cp35m-win32.whl", hash = "sha256:4ba0def4abef058c0e5101e05e3d5266e6fffb9795bbf8be0fe912a7361a0209"},
+ {file = "pymongo-3.12.0-cp35-cp35m-win_amd64.whl", hash = "sha256:a0e5dff6701fa615f165306e642709e1c1550d5b237c5a7a6ea299886828bd50"},
+ {file = "pymongo-3.12.0-cp36-cp36m-macosx_10_6_intel.whl", hash = "sha256:b542d56ed1b8d5cf3bb36326f814bd2fbe8812dfd2582b80a15689ea433c0e35"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:a325600c83e61e3c9cebc0c2b1c8c4140fa887f789085075e8f44c8ff2547eb9"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:48d5bc80ab0af6b60c4163c5617f5cd23f2f880d7600940870ea5055816af024"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:c5cab230e7cabdae9ff23c12271231283efefb944c1b79bed79a91beb65ba547"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:d73e10772152605f6648ba4410318594f1043bbfe36d2fadee7c4b8912eff7c5"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux2014_ppc64le.whl", hash = "sha256:b1c4874331ab960429caca81acb9d2932170d66d6d6f87e65dc4507a85aca152"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux2014_s390x.whl", hash = "sha256:a3566acfbcde46911c52810374ecc0354fdb841284a3efef6ff7105bc007e9a8"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:b3b5b3cbc3fdf4fcfa292529df2a85b5d9c7053913a739d3069af1e12e12219f"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd3854148005c808c485c754a184c71116372263709958b42aefbef2e5dd373a"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f55c1ddcc1f6050b07d468ce594f55dbf6107b459e16f735d26818d7be1e9538"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ced944dcdd561476deef7cb7bfd4987c69fffbfeff6d02ca4d5d4fd592d559b7"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78ecb8d42f50d393af912bfb1fb1dcc9aabe9967973efb49ee577e8f1cea494c"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1970cfe2aec1bf74b40cf30c130ad10cd968941694630386db33e1d044c22a2e"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b8bf42d3b32f586f4c9e37541769993783a534ad35531ce8a4379f6fa664fba9"},
+ {file = "pymongo-3.12.0-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:bc9ac81e73573516070d24ce15da91281922811f385645df32bd3c8a45ab4684"},
+ {file = "pymongo-3.12.0-cp36-cp36m-win32.whl", hash = "sha256:d04ca462cb99077e6c059e97c072957caf2918e6e4191e3161c01c439e0193de"},
+ {file = "pymongo-3.12.0-cp36-cp36m-win_amd64.whl", hash = "sha256:f2acf9bbcd514e901f82c4ca6926bbd2ae61716728f110b4343eb0a69612d018"},
+ {file = "pymongo-3.12.0-cp37-cp37m-macosx_10_6_intel.whl", hash = "sha256:b754240daafecd9d5fce426b0fbaaed03f4ebb130745c8a4ae9231fffb8d75e5"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:af586e85144023686fb0af09c8cdf672484ea182f352e7ceead3d832de381e1b"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:fe5872ce6f9627deac8314bdffd3862624227c3de4c17ef0cc78bbf0402999eb"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:f6977a520bd96e097c8a37a8cbb9faa1ea99d21bf84190195056e25f688af73d"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:2dbfbbded947a83a3dffc2bd1ec4750c17e40904692186e2c55a3ad314ca0222"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux2014_ppc64le.whl", hash = "sha256:a752ecd1a26000a6d67be7c9a2e93801994a8b3f866ac95b672fbc00225ca91a"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux2014_s390x.whl", hash = "sha256:1bab889ae7640eba739f67fcbf8eff252dddc60d4495e6ddd3a87cd9a95fdb52"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:f94c7d22fb36b184734dded7345a04ec5f95130421c775b8b0c65044ef073f34"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec5ca7c0007ce268048bbe0ffc6846ed1616cf3d8628b136e81d5e64ff3f52a2"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7c72d08acdf573455b2b9d2b75b8237654841d63a48bc2327dc102c6ee89b75a"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b6ea08758b6673610b3c5bdf47189286cf9c58b1077558706a2f6f8744922527"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46d5ec90276f71af3a29917b30f2aec2315a2759b5f8d45b3b63a07ca8a070a3"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:625befa3bc9b40746a749115cc6a15bf20b9bd7597ca55d646205b479a2c99c7"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:d1131562ddc2ea8a446f66c2648d7dabec2b3816fc818528eb978a75a6d23b2e"},
+ {file = "pymongo-3.12.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:eee42a1cc06565f6b21caa1f504ec15e07de7ebfd520ab57f8cb3308bc118e22"},
+ {file = "pymongo-3.12.0-cp37-cp37m-win32.whl", hash = "sha256:94d38eba4d1b5eb3e6bfece0651b855a35c44f32fd91f512ab4ba41b8c0d3e66"},
+ {file = "pymongo-3.12.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e018a4921657c2d3f89c720b7b90b9182e277178a04a7e9542cc79d7d787ca51"},
+ {file = "pymongo-3.12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c6a9948916a7bbcc6d3a9f6fb75db1acb5546078023bfb3db6efabcd5a67527"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e9faf8d4712d5ea301d74abfcf6dafe4b7f4af7936e91f283b0ad7bf69ed3e3a"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cc2894fe91f31a513860238ede69fe47fada21f9e7ddfe73f7f9fef93a971e41"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:053b4ebf91c7395d1fcd2ce6a9edff0024575b7b2de6781554a4114448a8adc9"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:39dafa2eaf577d1969f289dc9a44501859a1897eb45bd589e93ce843fc610800"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux2014_ppc64le.whl", hash = "sha256:246ec420e4c8744fceb4e259f906211b9c198e1f345e6158dcd7cbad3737e11e"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux2014_s390x.whl", hash = "sha256:208debdcf76ed39ebf24f38509f50dc1c100e31e8653817fedb8e1f867850a13"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:18290649759f9db660972442aa606f845c368db9b08c4c73770f6da14113569b"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:657ad80de8ec9ed656f28844efc801a0802961e8c6a85038d97ff6f555ef4919"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b772bab31cbd9cb911e41e1a611ebc9497f9a32a7348e2747c38210f75c00f41"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2399a85b54f68008e483b2871f4a458b4c980469c7fe921595ede073e4844f1e"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e66780f14c2efaf989cd3ac613b03ee6a8e3a0ba7b96c0bb14adca71a427e55"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:02dc0b0f48ed3cd06c13b7e31b066bf91e00dac5f8147b0a0a45f9009bfab857"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:070a4ef689c9438a999ec3830e69b208ff0d12251846e064d947f97d819d1d05"},
+ {file = "pymongo-3.12.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:db93608a246da44d728842b8fa9e45aa9782db76955f634a707739a8d53ff544"},
+ {file = "pymongo-3.12.0-cp38-cp38-win32.whl", hash = "sha256:5af390fa9faf56c93252dab09ea57cd020c9123aa921b63a0ed51832fdb492e7"},
+ {file = "pymongo-3.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:a2239556ff7241584ce57be1facf25081669bb457a9e5cbe68cce4aae6567aa1"},
+ {file = "pymongo-3.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cda9e628b1315beec8341e8c04aac9a0b910650b05e0751e42e399d5694aeacb"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux1_i686.whl", hash = "sha256:845a8b83798b2fb11b09928413cb32692866bfbc28830a433d9fa4c8c3720dd0"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:da8288bc4a7807c6715416deed1c57d94d5e03e93537889e002bf985be503f1a"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:a9ba2a63777027b06b116e1ea8248e66fd1bedc2c644f93124b81a91ddbf6d88"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:9a13661681d17e43009bb3e85e837aa1ec5feeea1e3654682a01b8821940f8b3"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux2014_ppc64le.whl", hash = "sha256:6b89dc51206e4971c5568c797991eaaef5dc2a6118d67165858ad11752dba055"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux2014_s390x.whl", hash = "sha256:701e08457183da70ed96b35a6b43e6ba1df0b47c837b063cde39a1fbe1aeda81"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:e7a33322e08021c37e89cae8ff06327503e8a1719e97c69f32c31cbf6c30d72c"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd1f49f949a658c4e8f81ed73f9aad25fcc7d4f62f767f591e749e30038c4e1d"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a6d055f01b83b1a4df8bb0c61983d3bdffa913764488910af3620e5c2450bf83"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dd6ff2192f34bd622883c745a56f492b1c9ccd44e14953e8051c33024a2947d5"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19d4bd0fc29aa405bb1781456c9cfff9fceabb68543741eb17234952dbc2bbb0"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:24f8aeec4d6b894a6128844e50ff423dd02462ee83addf503c598ee3a80ddf3d"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0b6055e0ef451ff73c93d0348d122a0750dddf323b9361de5835dac2f6cf7fc1"},
+ {file = "pymongo-3.12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:6261bee7c5abadeac7497f8f1c43e521da78dd13b0a2439f526a7b0fc3788824"},
+ {file = "pymongo-3.12.0-cp39-cp39-win32.whl", hash = "sha256:2e92aa32300a0b5e4175caec7769f482b292769807024a86d674b3f19b8e3755"},
+ {file = "pymongo-3.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:3ce83f17f641a62a4dfb0ba1b8a3c1ced7c842f511b5450d90c030c7828e3693"},
+ {file = "pymongo-3.12.0-py2.7-macosx-10.14-intel.egg", hash = "sha256:d1740776b70367277323fafb76bcf09753a5cc9824f5d705bac22a34ff3668ea"},
+ {file = "pymongo-3.12.0.tar.gz", hash = "sha256:b88d1742159bc93a078733f9789f563cef26f5e370eba810476a71aa98e5fbc2"},
]
pyparsing = [
{file = "pyparsing-2.4.7-py2.py3-none-any.whl", hash = "sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b"},
@@ -646,59 +684,59 @@ pytest = [
{file = "pytest-5.4.3.tar.gz", hash = "sha256:7979331bfcba207414f5e1263b5a0f8f521d0f457318836a7355531ed1a4c7d8"},
]
python-dateutil = [
- {file = "python-dateutil-2.8.1.tar.gz", hash = "sha256:73ebfe9dbf22e832286dafa60473e4cd239f8592f699aa5adaf10050e6e1823c"},
- {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
+ {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+ {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]
pytz = [
{file = "pytz-2021.1-py2.py3-none-any.whl", hash = "sha256:eb10ce3e7736052ed3623d49975ce333bcd712c7bb19a58b9e2089d4057d0798"},
{file = "pytz-2021.1.tar.gz", hash = "sha256:83a4a90894bf38e243cf052c8b58f381bfe9a7a483f6a9cab140bc7f702ac4da"},
]
regex = [
- {file = "regex-2021.4.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:619d71c59a78b84d7f18891fe914446d07edd48dc8328c8e149cbe0929b4e000"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:47bf5bf60cf04d72bf6055ae5927a0bd9016096bf3d742fa50d9bf9f45aa0711"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:281d2fd05555079448537fe108d79eb031b403dac622621c78944c235f3fcf11"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:bd28bc2e3a772acbb07787c6308e00d9626ff89e3bfcdebe87fa5afbfdedf968"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:7c2a1af393fcc09e898beba5dd59196edaa3116191cc7257f9224beaed3e1aa0"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:c38c71df845e2aabb7fb0b920d11a1b5ac8526005e533a8920aea97efb8ec6a4"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:96fcd1888ab4d03adfc9303a7b3c0bd78c5412b2bfbe76db5b56d9eae004907a"},
- {file = "regex-2021.4.4-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:ade17eb5d643b7fead300a1641e9f45401c98eee23763e9ed66a43f92f20b4a7"},
- {file = "regex-2021.4.4-cp36-cp36m-win32.whl", hash = "sha256:e8e5b509d5c2ff12f8418006d5a90e9436766133b564db0abaec92fd27fcee29"},
- {file = "regex-2021.4.4-cp36-cp36m-win_amd64.whl", hash = "sha256:11d773d75fa650cd36f68d7ca936e3c7afaae41b863b8c387a22aaa78d3c5c79"},
- {file = "regex-2021.4.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d3029c340cfbb3ac0a71798100ccc13b97dddf373a4ae56b6a72cf70dfd53bc8"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:18c071c3eb09c30a264879f0d310d37fe5d3a3111662438889ae2eb6fc570c31"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:4c557a7b470908b1712fe27fb1ef20772b78079808c87d20a90d051660b1d69a"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:01afaf2ec48e196ba91b37451aa353cb7eda77efe518e481707e0515025f0cd5"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:3a9cd17e6e5c7eb328517969e0cb0c3d31fd329298dd0c04af99ebf42e904f82"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:90f11ff637fe8798933fb29f5ae1148c978cccb0452005bf4c69e13db951e765"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:919859aa909429fb5aa9cf8807f6045592c85ef56fdd30a9a3747e513db2536e"},
- {file = "regex-2021.4.4-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:339456e7d8c06dd36a22e451d58ef72cef293112b559010db3d054d5560ef439"},
- {file = "regex-2021.4.4-cp37-cp37m-win32.whl", hash = "sha256:67bdb9702427ceddc6ef3dc382455e90f785af4c13d495f9626861763ee13f9d"},
- {file = "regex-2021.4.4-cp37-cp37m-win_amd64.whl", hash = "sha256:32e65442138b7b76dd8173ffa2cf67356b7bc1768851dded39a7a13bf9223da3"},
- {file = "regex-2021.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1e1c20e29358165242928c2de1482fb2cf4ea54a6a6dea2bd7a0e0d8ee321500"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux1_i686.whl", hash = "sha256:314d66636c494ed9c148a42731b3834496cc9a2c4251b1661e40936814542b14"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:6d1b01031dedf2503631d0903cb563743f397ccaf6607a5e3b19a3d76fc10480"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:741a9647fcf2e45f3a1cf0e24f5e17febf3efe8d4ba1281dcc3aa0459ef424dc"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:4c46e22a0933dd783467cf32b3516299fb98cfebd895817d685130cc50cd1093"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:e512d8ef5ad7b898cdb2d8ee1cb09a8339e4f8be706d27eaa180c2f177248a10"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:980d7be47c84979d9136328d882f67ec5e50008681d94ecc8afa8a65ed1f4a6f"},
- {file = "regex-2021.4.4-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:ce15b6d103daff8e9fee13cf7f0add05245a05d866e73926c358e871221eae87"},
- {file = "regex-2021.4.4-cp38-cp38-win32.whl", hash = "sha256:a91aa8619b23b79bcbeb37abe286f2f408d2f2d6f29a17237afda55bb54e7aac"},
- {file = "regex-2021.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:c0502c0fadef0d23b128605d69b58edb2c681c25d44574fc673b0e52dce71ee2"},
- {file = "regex-2021.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:598585c9f0af8374c28edd609eb291b5726d7cbce16be6a8b95aa074d252ee17"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux1_i686.whl", hash = "sha256:ee54ff27bf0afaf4c3b3a62bcd016c12c3fdb4ec4f413391a90bd38bc3624605"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:7d9884d86dd4dd489e981d94a65cd30d6f07203d90e98f6f657f05170f6324c9"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:bf5824bfac591ddb2c1f0a5f4ab72da28994548c708d2191e3b87dd207eb3ad7"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:563085e55b0d4fb8f746f6a335893bda5c2cef43b2f0258fe1020ab1dd874df8"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:b9c3db21af35e3b3c05764461b262d6f05bbca08a71a7849fd79d47ba7bc33ed"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:3916d08be28a1149fb97f7728fca1f7c15d309a9f9682d89d79db75d5e52091c"},
- {file = "regex-2021.4.4-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:fd45ff9293d9274c5008a2054ecef86a9bfe819a67c7be1afb65e69b405b3042"},
- {file = "regex-2021.4.4-cp39-cp39-win32.whl", hash = "sha256:fa4537fb4a98fe8fde99626e4681cc644bdcf2a795038533f9f711513a862ae6"},
- {file = "regex-2021.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:97f29f57d5b84e73fbaf99ab3e26134e6687348e95ef6b48cfd2c06807005a07"},
- {file = "regex-2021.4.4.tar.gz", hash = "sha256:52ba3d3f9b942c49d7e4bc105bb28551c44065f139a65062ab7912bef10c9afb"},
+ {file = "regex-2021.7.6-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:e6a1e5ca97d411a461041d057348e578dc344ecd2add3555aedba3b408c9f874"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:6afe6a627888c9a6cfbb603d1d017ce204cebd589d66e0703309b8048c3b0854"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:ccb3d2190476d00414aab36cca453e4596e8f70a206e2aa8db3d495a109153d2"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:ed693137a9187052fc46eedfafdcb74e09917166362af4cc4fddc3b31560e93d"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:99d8ab206a5270c1002bfcf25c51bf329ca951e5a169f3b43214fdda1f0b5f0d"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:b85ac458354165405c8a84725de7bbd07b00d9f72c31a60ffbf96bb38d3e25fa"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:3f5716923d3d0bfb27048242a6e0f14eecdb2e2a7fac47eda1d055288595f222"},
+ {file = "regex-2021.7.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5983c19d0beb6af88cb4d47afb92d96751fb3fa1784d8785b1cdf14c6519407"},
+ {file = "regex-2021.7.6-cp36-cp36m-win32.whl", hash = "sha256:c92831dac113a6e0ab28bc98f33781383fe294df1a2c3dfd1e850114da35fd5b"},
+ {file = "regex-2021.7.6-cp36-cp36m-win_amd64.whl", hash = "sha256:791aa1b300e5b6e5d597c37c346fb4d66422178566bbb426dd87eaae475053fb"},
+ {file = "regex-2021.7.6-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:59506c6e8bd9306cd8a41511e32d16d5d1194110b8cfe5a11d102d8b63cf945d"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:564a4c8a29435d1f2256ba247a0315325ea63335508ad8ed938a4f14c4116a5d"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:59c00bb8dd8775473cbfb967925ad2c3ecc8886b3b2d0c90a8e2707e06c743f0"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:9a854b916806c7e3b40e6616ac9e85d3cdb7649d9e6590653deb5b341a736cec"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:db2b7df831c3187a37f3bb80ec095f249fa276dbe09abd3d35297fc250385694"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:173bc44ff95bc1e96398c38f3629d86fa72e539c79900283afa895694229fe6a"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:15dddb19823f5147e7517bb12635b3c82e6f2a3a6b696cc3e321522e8b9308ad"},
+ {file = "regex-2021.7.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ddeabc7652024803666ea09f32dd1ed40a0579b6fbb2a213eba590683025895"},
+ {file = "regex-2021.7.6-cp37-cp37m-win32.whl", hash = "sha256:f080248b3e029d052bf74a897b9d74cfb7643537fbde97fe8225a6467fb559b5"},
+ {file = "regex-2021.7.6-cp37-cp37m-win_amd64.whl", hash = "sha256:d8bbce0c96462dbceaa7ac4a7dfbbee92745b801b24bce10a98d2f2b1ea9432f"},
+ {file = "regex-2021.7.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:edd1a68f79b89b0c57339bce297ad5d5ffcc6ae7e1afdb10f1947706ed066c9c"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux1_i686.whl", hash = "sha256:422dec1e7cbb2efbbe50e3f1de36b82906def93ed48da12d1714cabcd993d7f0"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:cbe23b323988a04c3e5b0c387fe3f8f363bf06c0680daf775875d979e376bd26"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:0eb2c6e0fcec5e0f1d3bcc1133556563222a2ffd2211945d7b1480c1b1a42a6f"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:1c78780bf46d620ff4fff40728f98b8afd8b8e35c3efd638c7df67be2d5cddbf"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:bc84fb254a875a9f66616ed4538542fb7965db6356f3df571d783f7c8d256edd"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:598c0a79b4b851b922f504f9f39a863d83ebdfff787261a5ed061c21e67dd761"},
+ {file = "regex-2021.7.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:875c355360d0f8d3d827e462b29ea7682bf52327d500a4f837e934e9e4656068"},
+ {file = "regex-2021.7.6-cp38-cp38-win32.whl", hash = "sha256:e586f448df2bbc37dfadccdb7ccd125c62b4348cb90c10840d695592aa1b29e0"},
+ {file = "regex-2021.7.6-cp38-cp38-win_amd64.whl", hash = "sha256:2fe5e71e11a54e3355fa272137d521a40aace5d937d08b494bed4529964c19c4"},
+ {file = "regex-2021.7.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6110bab7eab6566492618540c70edd4d2a18f40ca1d51d704f1d81c52d245026"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux1_i686.whl", hash = "sha256:4f64fc59fd5b10557f6cd0937e1597af022ad9b27d454e182485f1db3008f417"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:89e5528803566af4df368df2d6f503c84fbfb8249e6631c7b025fe23e6bd0cde"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2366fe0479ca0e9afa534174faa2beae87847d208d457d200183f28c74eaea59"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:f9392a4555f3e4cb45310a65b403d86b589adc773898c25a39184b1ba4db8985"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:2bceeb491b38225b1fee4517107b8491ba54fba77cf22a12e996d96a3c55613d"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:f98dc35ab9a749276f1a4a38ab3e0e2ba1662ce710f6530f5b0a6656f1c32b58"},
+ {file = "regex-2021.7.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:319eb2a8d0888fa6f1d9177705f341bc9455a2c8aca130016e52c7fe8d6c37a3"},
+ {file = "regex-2021.7.6-cp39-cp39-win32.whl", hash = "sha256:eaf58b9e30e0e546cdc3ac06cf9165a1ca5b3de8221e9df679416ca667972035"},
+ {file = "regex-2021.7.6-cp39-cp39-win_amd64.whl", hash = "sha256:4c9c3155fe74269f61e27617529b7f09552fbb12e44b1189cebbdb24294e6e1c"},
+ {file = "regex-2021.7.6.tar.gz", hash = "sha256:8394e266005f2d8c6f0bc6780001f7afa3ef81a7a2111fa35058ded6fce79e4d"},
]
requests = [
- {file = "requests-2.25.1-py2.py3-none-any.whl", hash = "sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e"},
- {file = "requests-2.25.1.tar.gz", hash = "sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804"},
+ {file = "requests-2.26.0-py2.py3-none-any.whl", hash = "sha256:6c1246513ecd5ecd4528a0906f910e8f0f9c6b8ec72030dc9fd154dc1a6efd24"},
+ {file = "requests-2.26.0.tar.gz", hash = "sha256:b8aa58f8cf793ffd8782d3d8cb19e66ef36f7aba4353eec859e74678b01b07a7"},
]
six = [
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
diff --git a/pyproject.toml b/pyproject.toml
index 0102458760473e10703150f3676b5e8d1a1855cb..85a4920f4eab83c001d533a50dbd479a8cba7ce2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,12 +26,12 @@ pyflakes = "2.3.1"
poethepoet = "^0.10.0"
[tool.poe.tasks]
-black = "black -v --check ./"
-isort = "isort . -c"
-pyflakes = "pyflakes ."
-mypy = "mypy --strict ."
+black = "black -v --check sziszapangma"
+isort = "isort sziszapangma -c"
+pyflakes = "pyflakes sziszapangma"
+mypy = "mypy sziszapangma"
test = "pytest"
-check = ["black", "isort", "pyflakes"]
+check = ["black", "isort", "mypy", "pyflakes"]
all = ["check", "test"]
[tool.poetry.extras]
diff --git a/sziszapangma/core/alignment/alignment_calculator.py b/sziszapangma/core/alignment/alignment_calculator.py
index d22c0a898f06cb207d864651bff867512293582e..0ebc6c3d74258fa51a8c1b3833cfe4a759c77987 100644
--- a/sziszapangma/core/alignment/alignment_calculator.py
+++ b/sziszapangma/core/alignment/alignment_calculator.py
@@ -2,6 +2,7 @@ from abc import ABC
from typing import List, Optional, Tuple
import numpy as np
+import numpy.typing as npt
from sziszapangma.core.alignment.alignment_processing_step import AlignmentProcessingStep
from sziszapangma.core.alignment.alignment_step import AlignmentStep
@@ -37,13 +38,13 @@ class AlignmentCalculator(ABC):
def get_distance_matrix_between_words(
self, reference: List[Word], hypothesis: List[Word]
- ) -> np.ndarray:
+ ) -> npt.NDArray[np.float64]:
return self._distance_matrix_calculator.calculate_distance_matrix(reference, hypothesis)
@staticmethod
def _get_initialized_levenshtein_matrix(
reference: List[Word], hypothesis: List[Word]
- ) -> Tuple[np.ndarray, List[List[Optional[AlignmentProcessingStep]]]]:
+ ) -> Tuple[npt.NDArray[np.float64], List[List[Optional[AlignmentProcessingStep]]]]:
# TODO: consider about remove distance_arr replaced by steps_arr
reference_len = len(reference)
@@ -51,7 +52,9 @@ class AlignmentCalculator(ABC):
distance_arr = np.zeros((reference_len + 1) * (hypothesis_len + 1)).reshape(
(reference_len + 1, hypothesis_len + 1)
)
- steps_arr = [[None for _ in range(hypothesis_len + 1)] for _ in range(reference_len + 1)]
+ steps_arr: List[List[Optional[AlignmentProcessingStep]]] = [
+ [None for _ in range(hypothesis_len + 1)] for _ in range(reference_len + 1)
+ ]
# levenshtein initial
for ref_index in range(reference_len + 1):
@@ -82,8 +85,11 @@ class AlignmentCalculator(ABC):
)
def get_levenshtein_embedding_based(
- self, reference: List[Word], hypothesis: List[Word], distance_matrix: np.ndarray
- ) -> Tuple[np.ndarray, List[List[AlignmentProcessingStep]]]:
+ self,
+ reference: List[Word],
+ hypothesis: List[Word],
+ distance_matrix: npt.NDArray[np.float64],
+ ) -> Tuple[npt.NDArray[np.float64], List[List[AlignmentProcessingStep]]]:
reference_len = len(reference)
hypothesis_len = len(hypothesis)
@@ -113,7 +119,14 @@ class AlignmentCalculator(ABC):
distance_arr[ref_index + 1][hyp_index + 1] = best_step.total_distance()
steps_arr[ref_index + 1][hyp_index + 1] = best_step
- return distance_arr, steps_arr
+ def get_assert(item: Optional[AlignmentProcessingStep]) -> AlignmentProcessingStep:
+ if item is None:
+ raise Exception()
+ return item
+
+ steps_arr_to_return = [[get_assert(itt) for itt in it] for it in steps_arr]
+
+ return distance_arr, steps_arr_to_return
def extract_steps_path(
self, steps_matrix: List[List[AlignmentProcessingStep]]
diff --git a/sziszapangma/core/alignment/alignment_classic_calculator.py b/sziszapangma/core/alignment/alignment_classic_calculator.py
index cab20935da7dae493f99e2dbbd75aeee3be405bb..7d3ec171e95998f1fa4f872f149dcd92dcc1e21d 100644
--- a/sziszapangma/core/alignment/alignment_classic_calculator.py
+++ b/sziszapangma/core/alignment/alignment_classic_calculator.py
@@ -3,5 +3,5 @@ from sziszapangma.core.alignment.distance_matrix_calculator import BinaryDistanc
class AlignmentClassicCalculator(AlignmentCalculator):
- def __init__(self):
+ def __init__(self) -> None:
super().__init__(BinaryDistanceCalculator())
diff --git a/sziszapangma/core/alignment/alignment_embedding_calculator.py b/sziszapangma/core/alignment/alignment_embedding_calculator.py
index 8b017303e4f0b6d999ed741ce9a6474408be2c16..da74c3820ba3d21e5e5d415e7b073245b36cb86e 100644
--- a/sziszapangma/core/alignment/alignment_embedding_calculator.py
+++ b/sziszapangma/core/alignment/alignment_embedding_calculator.py
@@ -1,4 +1,4 @@
-from typing import List, Optional
+from typing import List
from sziszapangma.core.alignment.alignment_calculator import AlignmentCalculator
from sziszapangma.core.alignment.alignment_processing_step import AlignmentProcessingStep
@@ -21,7 +21,10 @@ class AlignmentEmbeddingCalculator(AlignmentCalculator):
self._distance_calculator = CosineDistanceCalculator(embedding_transformer)
def _calculate_distance_for_word_step(self, step_words: StepWords) -> float:
- Optional
+ if step_words.reference_word is None:
+ raise Exception()
+ if step_words.hypothesis_word is None:
+ raise Exception()
return self._distance_calculator.calculate_distance_for_words(
step_words.reference_word, step_words.hypothesis_word
)
diff --git a/sziszapangma/core/alignment/alignment_processing_step.py b/sziszapangma/core/alignment/alignment_processing_step.py
index ed70f94ff2ecc330d93df3285aa6b865d0c8e38f..840788371eb48e99d05608f4067b7ce43f399ee6 100644
--- a/sziszapangma/core/alignment/alignment_processing_step.py
+++ b/sziszapangma/core/alignment/alignment_processing_step.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
from dataclasses import dataclass
from sziszapangma.core.alignment.step_type import StepType
@@ -14,27 +16,29 @@ class AlignmentProcessingStep:
@classmethod
def levenshtein_insertion(
cls, previous_distance: float, step_words: StepWords, step_cost: float = 1
- ):
+ ) -> AlignmentProcessingStep:
words = StepWords(None, step_words.hypothesis_word)
return AlignmentProcessingStep(StepType.INSERTION, words, previous_distance, step_cost)
@classmethod
def levenshtein_deletion(
cls, previous_distance: float, step_words: StepWords, step_cost: float = 1
- ):
+ ) -> AlignmentProcessingStep:
words = StepWords(step_words.reference_word, None)
return AlignmentProcessingStep(StepType.DELETION, words, previous_distance, step_cost)
@classmethod
def levenshtein_substitution(
cls, previous_distance: float, step_words: StepWords, step_cost: float
- ):
+ ) -> AlignmentProcessingStep:
return AlignmentProcessingStep(
StepType.SUBSTITUTION, step_words, previous_distance, step_cost
)
@classmethod
- def levenshtein_correct(cls, previous_distance: float, step_words: StepWords, step_cost: float):
+ def levenshtein_correct(
+ cls, previous_distance: float, step_words: StepWords, step_cost: float
+ ) -> AlignmentProcessingStep:
return AlignmentProcessingStep(StepType.CORRECT, step_words, previous_distance, step_cost)
def total_distance(self) -> float:
diff --git a/sziszapangma/core/alignment/alignment_step.py b/sziszapangma/core/alignment/alignment_step.py
index 2663b06c09d0a46b41d1ff44d6543cfed2b09670..f3e802ecb8c348d1bfc59f584b2f8e44459eb769 100644
--- a/sziszapangma/core/alignment/alignment_step.py
+++ b/sziszapangma/core/alignment/alignment_step.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
from dataclasses import dataclass
from sziszapangma.core.alignment.step_type import StepType
@@ -10,7 +12,7 @@ class AlignmentStep:
step_words: StepWords
step_cost: float
- def with_weight_multiplication(self, weight: float):
+ def with_weight_multiplication(self, weight: float) -> AlignmentStep:
return AlignmentStep(
step_type=self.step_type, step_words=self.step_words, step_cost=self.step_cost * weight
)
diff --git a/sziszapangma/core/alignment/alignment_util.py b/sziszapangma/core/alignment/alignment_util.py
index 31d3ab3ea3a105b1546f22016e620d89b15f51b4..d90721ed7b93fe8d6f81f35cec88b687a150c21c 100644
--- a/sziszapangma/core/alignment/alignment_util.py
+++ b/sziszapangma/core/alignment/alignment_util.py
@@ -1,24 +1,25 @@
-from typing import List, Optional
+from typing import List, Optional, Tuple
import numpy as np
import pandas as pd
from sziszapangma.core.alignment.alignment_step import AlignmentStep
+from sziszapangma.core.alignment.word import Word
class AlignmentUtil:
@staticmethod
- def _optional_str_to_str(value: Optional[str]) -> str:
- return value if value is not None else ""
+ def _optional_str_to_str(word: Optional[Word]) -> str:
+ return word.value if word is not None else ""
@staticmethod
- def _wer_step_to_pandas_row_lit(step: AlignmentStep) -> List[any]:
- return [
+ def _wer_step_to_pandas_row_lit(step: AlignmentStep) -> Tuple[str, str, str, float]:
+ return (
step.step_type.get_short_name(),
AlignmentUtil._optional_str_to_str(step.step_words.reference_word),
AlignmentUtil._optional_str_to_str(step.step_words.hypothesis_word),
round(step.step_cost, 3),
- ]
+ )
@staticmethod
def steps_to_dataframe(steps: List[AlignmentStep]) -> pd.DataFrame:
diff --git a/sziszapangma/core/alignment/distance_matrix_calculator.py b/sziszapangma/core/alignment/distance_matrix_calculator.py
index ee0996065b10136938ae8618fb9ae6cda6b5da07..9bbec7f81275180d31b94df0367857ca86c20aaa 100644
--- a/sziszapangma/core/alignment/distance_matrix_calculator.py
+++ b/sziszapangma/core/alignment/distance_matrix_calculator.py
@@ -2,6 +2,7 @@ from abc import ABC, abstractmethod
from typing import List
import numpy as np
+import numpy.typing as npt
from sziszapangma.core.alignment.word import Word
from sziszapangma.core.transformer.embedding_transformer import EmbeddingTransformer
@@ -9,7 +10,9 @@ from sziszapangma.core.transformer.embedding_transformer import EmbeddingTransfo
class DistanceCalculator(ABC):
@abstractmethod
- def calculate_distance_matrix(self, reference: List[Word], hypothesis: List[Word]) -> np.array:
+ def calculate_distance_matrix(
+ self, reference: List[Word], hypothesis: List[Word]
+ ) -> npt.NDArray[np.float64]:
pass
@abstractmethod
@@ -21,7 +24,9 @@ class BinaryDistanceCalculator(DistanceCalculator):
def calculate_distance_for_words(self, word1: Word, word2: Word) -> float:
return 0 if word1.value == word2.value else 1
- def calculate_distance_matrix(self, reference: List[Word], hypothesis: List[Word]) -> np.array:
+ def calculate_distance_matrix(
+ self, reference: List[Word], hypothesis: List[Word]
+ ) -> npt.NDArray[np.float64]:
return np.array(
[
[
@@ -47,7 +52,7 @@ class CosineDistanceCalculator(DistanceCalculator):
@staticmethod
def cosine_distance_between_words_embeddings(
- word1_embedding: np.array, word2_embedding: np.array
+ word1_embedding: npt.NDArray[np.float64], word2_embedding: npt.NDArray[np.float64]
) -> float:
a = word1_embedding
b = word2_embedding
@@ -63,9 +68,11 @@ class CosineDistanceCalculator(DistanceCalculator):
raise RuntimeError("array dimensions {} not right".format(a.ndim))
similarity = np.dot(a, b.T) / (a_norm * b_norm)
dist = 1.0 - similarity
- return dist
+ return float(dist)
- def calculate_distance_matrix(self, reference: List[Word], hypothesis: List[Word]) -> np.array:
+ def calculate_distance_matrix(
+ self, reference: List[Word], hypothesis: List[Word]
+ ) -> npt.NDArray[np.float64]:
embeddings_dict = self._embedding_transformer.get_embeddings(
list(set(it.value for it in (reference + hypothesis)))
)
diff --git a/sziszapangma/core/alignment/word.py b/sziszapangma/core/alignment/word.py
index caf6e62b3fa7eb68a99360fa2dde03b968394d53..49ebbd4ab038985214d3e9d5e0309f5489fa56af 100644
--- a/sziszapangma/core/alignment/word.py
+++ b/sziszapangma/core/alignment/word.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
import uuid
from dataclasses import dataclass
@@ -8,5 +10,8 @@ class Word:
value: str
@classmethod
- def from_string(cls, string: str):
+ def from_string(cls, string: str) -> Word:
return cls(str(uuid.uuid4()), string)
+
+ def to_lower(self) -> Word:
+ return Word(self.id, self.value.lower())
diff --git a/sziszapangma/core/transformer/cached_embedding_transformer.py b/sziszapangma/core/transformer/cached_embedding_transformer.py
index 1cb6c86b2e5b6fe8a4af09a55d9a87422a7ea922..d084fe05c3d150b3f1ed9bb71f684a85c4007f2a 100644
--- a/sziszapangma/core/transformer/cached_embedding_transformer.py
+++ b/sziszapangma/core/transformer/cached_embedding_transformer.py
@@ -1,22 +1,23 @@
from typing import Dict, List
import numpy as np
+import numpy.typing as npt
from sziszapangma.core.transformer.embedding_transformer import EmbeddingTransformer
class CachedEmbeddingTransformer(EmbeddingTransformer):
_embeddings_transformer: EmbeddingTransformer
- _cache: Dict[str, np.ndarray]
+ _cache: Dict[str, npt.NDArray[np.float64]]
def __init__(self, embeddings_transformer: EmbeddingTransformer):
self._embeddings_transformer = embeddings_transformer
self._cache = dict()
- def get_embedding(self, word: str) -> np.ndarray:
+ def get_embedding(self, word: str) -> npt.NDArray[np.float64]:
return self.get_embeddings([word])[word]
- def get_embeddings(self, words: List[str]) -> Dict[str, np.ndarray]:
+ def get_embeddings(self, words: List[str]) -> Dict[str, npt.NDArray[np.float64]]:
new_words = [word for word in words if word not in self._cache]
new_embeddings = (
self._embeddings_transformer.get_embeddings(new_words) if len(new_words) > 0 else dict()
@@ -25,5 +26,5 @@ class CachedEmbeddingTransformer(EmbeddingTransformer):
self._cache[new_word] = new_embeddings[new_word]
return {word: self._cache[word] for word in words}
- def clear(self):
+ def clear(self) -> None:
self._cache.clear()
diff --git a/sziszapangma/core/transformer/embedding_transformer.py b/sziszapangma/core/transformer/embedding_transformer.py
index 52a698c26d5262487503308d19e35b266dc514da..14e7db35eb96344671b1063561504f496abde590 100644
--- a/sziszapangma/core/transformer/embedding_transformer.py
+++ b/sziszapangma/core/transformer/embedding_transformer.py
@@ -2,13 +2,14 @@ from abc import ABC, abstractmethod
from typing import Dict, List
import numpy as np
+import numpy.typing as npt
class EmbeddingTransformer(ABC):
@abstractmethod
- def get_embeddings(self, words: List[str]) -> Dict[str, np.ndarray]:
+ def get_embeddings(self, words: List[str]) -> Dict[str, npt.NDArray[np.float64]]:
pass
@abstractmethod
- def get_embedding(self, word: str) -> np.ndarray:
+ def get_embedding(self, word: str) -> npt.NDArray[np.float64]:
pass
diff --git a/sziszapangma/core/transformer/fasttext_embedding_transformer.py b/sziszapangma/core/transformer/fasttext_embedding_transformer.py
index bb38a717f796b7af54b7f5a2cd346c73b89cfdad..2c40dd0f5d2788922400878f2c27f4fbcce7cac2 100644
--- a/sziszapangma/core/transformer/fasttext_embedding_transformer.py
+++ b/sziszapangma/core/transformer/fasttext_embedding_transformer.py
@@ -3,6 +3,7 @@ from typing import Dict, List
import fasttext
import fasttext.util
import numpy as np
+import numpy.typing as npt
from sziszapangma.core.transformer.embedding_transformer import EmbeddingTransformer
@@ -15,8 +16,8 @@ class FasttextEmbeddingTransformer(EmbeddingTransformer):
full_model_name = fasttext.util.download_model(lang_id, if_exists="ignore")
self._fasttext_model = fasttext.load_model(full_model_name)
- def get_embedding(self, word: str) -> np.ndarray:
- return self._fasttext_model.get_word_vector(word)
+ def get_embedding(self, word: str) -> npt.NDArray[np.float64]:
+ return np.array(self._fasttext_model.get_word_vector(word))
- def get_embeddings(self, words: List[str]) -> Dict[str, np.ndarray]:
+ def get_embeddings(self, words: List[str]) -> Dict[str, npt.NDArray[np.float64]]:
return {word: self.get_embedding(word) for word in set(words)}
diff --git a/sziszapangma/core/wer/span.py b/sziszapangma/core/wer/span.py
index a07be75a89958221e5bfc786badd6e912a635160..f80f5856b766e3b666fb8a2bf1941f4b0efd927d 100644
--- a/sziszapangma/core/wer/span.py
+++ b/sziszapangma/core/wer/span.py
@@ -1,4 +1,5 @@
from dataclasses import dataclass
+from typing import List
@dataclass(frozen=True)
@@ -9,5 +10,5 @@ class Span:
def is_index_belong(self, index: int) -> bool:
return self.index_start <= index < self.index_end
- def get_reference_mask_table(self, total_size: int):
+ def get_reference_mask_table(self, total_size: int) -> List[bool]:
return [self.is_index_belong(it) for it in range(total_size)]
diff --git a/sziszapangma/integration/asr_processor.py b/sziszapangma/integration/asr_processor.py
index 5859f06c5c918596188fd9fb4a1b27258650eb84..bfc26851e59664b7e66564c8ecb3b10120c765c5 100644
--- a/sziszapangma/integration/asr_processor.py
+++ b/sziszapangma/integration/asr_processor.py
@@ -1,12 +1,12 @@
from abc import ABC, abstractmethod
-from typing import Dict, List
+from typing import Any, Dict
import requests
class AsrProcessor(ABC):
@abstractmethod
- def call_recognise(self, file_path: str) -> List[Dict[str, any]]:
+ def call_recognise(self, file_path: str) -> Dict[str, Any]:
"""
Currently most important is field `transcript` with list of transcript
words.
@@ -21,7 +21,7 @@ class AsrWebClient(AsrProcessor):
super(AsrWebClient, self).__init__()
self._url = url
- def call_recognise(self, file_path: str) -> List[Dict[str, any]]:
+ def call_recognise(self, file_path: str) -> Dict[str, Any]:
files = {"file": open(file_path, "rb")}
res = requests.post(self._url, files=files)
json_response = res.json()
diff --git a/sziszapangma/integration/gold_transcript_processor.py b/sziszapangma/integration/gold_transcript_processor.py
index 754efd3f07c159c618dc0e610cbd2eef1b7559d4..f88eb02832bbe350591d46400c5d51f7205977e5 100644
--- a/sziszapangma/integration/gold_transcript_processor.py
+++ b/sziszapangma/integration/gold_transcript_processor.py
@@ -1,12 +1,12 @@
from abc import ABC, abstractmethod
-from typing import Dict, List
+from typing import Any, Dict, List
class GoldTranscriptProcessor(ABC):
""""""
@abstractmethod
- def get_gold_transcript(self, record_id: str) -> List[Dict[str, any]]:
+ def get_gold_transcript(self, record_id: str) -> List[Dict[str, Any]]:
"""
Currently the most important dict key is `word` – original transcript
word.
diff --git a/sziszapangma/integration/mapper/alignment_step_mapper.py b/sziszapangma/integration/mapper/alignment_step_mapper.py
index de43514f256bc49320d130ef7c97080eab2904a3..66a47919ea4351dd38ad517ee36b8b3c65b4ce10 100644
--- a/sziszapangma/integration/mapper/alignment_step_mapper.py
+++ b/sziszapangma/integration/mapper/alignment_step_mapper.py
@@ -1,4 +1,4 @@
-from typing import Dict
+from typing import Any, Dict
from sziszapangma.core.alignment.alignment_step import AlignmentStep
from sziszapangma.core.alignment.step_type import StepType
@@ -7,15 +7,15 @@ from sziszapangma.integration.mapper.step_words_mapper import StepWordsMapper
class AlignmentStepMapper:
@staticmethod
- def to_json_dict(alignment_step: AlignmentStep) -> Dict[str, any]:
+ def to_json_dict(alignment_step: AlignmentStep) -> Dict[str, Any]:
return {
"step_type": alignment_step.step_type.name,
"step_words": StepWordsMapper.to_json_dict(alignment_step.step_words),
- "step_cost": alignment_step.step_cost,
+ "step_cost": float(alignment_step.step_cost),
}
@staticmethod
- def from_json_dict(input_json_dict: Dict[str, any]) -> AlignmentStep:
+ def from_json_dict(input_json_dict: Dict[str, Any]) -> AlignmentStep:
return AlignmentStep(
StepType[input_json_dict["step_type"]],
StepWordsMapper.from_json_dict(input_json_dict["step_words"]),
diff --git a/sziszapangma/integration/mapper/step_words_mapper.py b/sziszapangma/integration/mapper/step_words_mapper.py
index 2cd64b22f21b6d4f9898435affccab3910d19462..94edd1128cbcc94c31af2447178738c0fbdf8000 100644
--- a/sziszapangma/integration/mapper/step_words_mapper.py
+++ b/sziszapangma/integration/mapper/step_words_mapper.py
@@ -1,4 +1,4 @@
-from typing import Dict
+from typing import Any, Dict
from sziszapangma.core.alignment.step_words import StepWords
from sziszapangma.integration.mapper.word_mapper import WordMapper
@@ -6,7 +6,7 @@ from sziszapangma.integration.mapper.word_mapper import WordMapper
class StepWordsMapper:
@staticmethod
- def to_json_dict(step_words: StepWords) -> Dict[str, any]:
+ def to_json_dict(step_words: StepWords) -> Dict[str, Any]:
to_return = dict()
if step_words.hypothesis_word is not None:
to_return["hypothesis_word"] = WordMapper.to_json_dict(step_words.hypothesis_word)
@@ -15,7 +15,7 @@ class StepWordsMapper:
return to_return
@staticmethod
- def from_json_dict(input_json_dict: Dict[str, any]) -> StepWords:
+ def from_json_dict(input_json_dict: Dict[str, Any]) -> StepWords:
return StepWords(
None
if "reference_word" not in input_json_dict
diff --git a/sziszapangma/integration/repository/experiment_repository.py b/sziszapangma/integration/repository/experiment_repository.py
index 04b99f25a8d08d4b43e25f91774f61ef2fef9c3e..8e1e67da84aa1292aaccb89b909753ffbb0df8d8 100644
--- a/sziszapangma/integration/repository/experiment_repository.py
+++ b/sziszapangma/integration/repository/experiment_repository.py
@@ -1,6 +1,6 @@
"""Repository to manage results of asr experiment processing."""
from abc import ABC, abstractmethod
-from typing import Optional, Set
+from typing import Any, Optional, Set
class ExperimentRepository(ABC):
@@ -15,7 +15,7 @@ class ExperimentRepository(ABC):
"""Method checks that property in record exists."""
@abstractmethod
- def update_property_for_key(self, record_id: str, property_name: str, property_value: any):
+ def update_property_for_key(self, record_id: str, property_name: str, property_value: Any):
"""Method updates property in record."""
@abstractmethod
@@ -23,7 +23,7 @@ class ExperimentRepository(ABC):
"""Method removes property in record."""
@abstractmethod
- def get_property_for_key(self, record_id: str, property_name: str) -> Optional[any]:
+ def get_property_for_key(self, record_id: str, property_name: str) -> Optional[Any]:
"""Method returns property for record."""
@abstractmethod
diff --git a/sziszapangma/integration/repository/file_experiment_repository.py b/sziszapangma/integration/repository/file_experiment_repository.py
index d724a9c3f84596bfb671a182fc9ef637ca6090aa..93e9d96658bc18f3de423e048daf142efb6405a0 100644
--- a/sziszapangma/integration/repository/file_experiment_repository.py
+++ b/sziszapangma/integration/repository/file_experiment_repository.py
@@ -1,6 +1,6 @@
import json
import os
-from typing import Dict, Optional, Set
+from typing import Any, Dict, Optional, Set
import pandas as pd
@@ -10,7 +10,7 @@ from sziszapangma.integration.repository.experiment_repository import Experiment
class FileExperimentRepository(ExperimentRepository):
_metadata_file_path: str
_pretty_format: bool
- _cache_value: any
+ _cache_value: Any
def __init__(self, metadata_file_path: str, pretty_format: bool = False):
super().__init__()
@@ -33,27 +33,27 @@ class FileExperimentRepository(ExperimentRepository):
else:
return True
- def update_property_for_key(self, record_id: str, property_name: str, property_value: any):
+ def update_property_for_key(self, record_id: str, property_name: str, property_value: Any):
json_content = self._get_file_parsed_json()
if record_id not in json_content:
json_content[record_id] = dict({})
json_content[record_id][property_name] = property_value
self._update_metadata_file(json_content)
- def get_property_for_key(self, record_id: str, property_name: str) -> Optional[any]:
+ def get_property_for_key(self, record_id: str, property_name: str) -> Optional[Any]:
json_content = self._get_file_parsed_json()
if self.property_exists(record_id, property_name):
return json_content[record_id][property_name]
else:
return None
- def _get_file_parsed_json(self) -> Dict[str, any]:
+ def _get_file_parsed_json(self) -> Dict[str, Dict[Any, Any]]:
if self._cache_value is None:
with open(self._metadata_file_path, "r") as f:
self._cache_value = json.loads(f.read())
return self._cache_value
- def _update_metadata_file(self, json_content: Dict[str, any]):
+ def _update_metadata_file(self, json_content: Dict[str, Any]):
self._cache_value = json_content
indent = 4 if self._pretty_format else None
with open(self._metadata_file_path, "w") as f:
diff --git a/sziszapangma/integration/repository/mongo_experiment_repository.py b/sziszapangma/integration/repository/mongo_experiment_repository.py
index 766ba6989bc492cb7acabf184bcf11f45daa2cd9..45e0d96d64a1ab852e0f0b999f3924136ccbb0e0 100644
--- a/sziszapangma/integration/repository/mongo_experiment_repository.py
+++ b/sziszapangma/integration/repository/mongo_experiment_repository.py
@@ -1,4 +1,4 @@
-from typing import Optional, Set
+from typing import Any, Optional, Set
from pymongo import MongoClient
from pymongo.database import Database
@@ -29,7 +29,7 @@ class MongoExperimentRepository(ExperimentRepository):
else:
return database[property_name].find_one({ID: record_id}) is not None
- def update_property_for_key(self, record_id: str, property_name: str, property_value: any):
+ def update_property_for_key(self, record_id: str, property_name: str, property_value: Any):
self.delete_property_for_key(record_id, property_name)
self._get_database()[property_name].insert_one({ID: record_id, VALUE: property_value})
@@ -37,7 +37,7 @@ class MongoExperimentRepository(ExperimentRepository):
if self.property_exists(record_id, property_name):
self._get_database()[property_name].delete_one({ID: record_id})
- def get_property_for_key(self, record_id: str, property_name: str) -> Optional[any]:
+ def get_property_for_key(self, record_id: str, property_name: str) -> Optional[Any]:
if self.property_exists(record_id, property_name):
return self._get_database()[property_name].find_one({ID: record_id})[VALUE]
else:
@@ -53,7 +53,7 @@ class MongoExperimentRepository(ExperimentRepository):
def get_all_record_ids(self) -> Set[str]:
records = set()
for collection_name in self.get_all_properties():
- for record in self._get_database()[collection_name]:
+ for record in self._get_database()[collection_name].find():
records.add(record[ID])
return records
diff --git a/sziszapangma/integration/task/asr_task.py b/sziszapangma/integration/task/asr_task.py
index 9422f7058ae7a9ffdae6fb6bfb49d250c64290e6..88d104961a2336c0aa4d80abeb13c970a0137967 100644
--- a/sziszapangma/integration/task/asr_task.py
+++ b/sziszapangma/integration/task/asr_task.py
@@ -1,4 +1,6 @@
+from sziszapangma.core.alignment.word import Word
from sziszapangma.integration.asr_processor import AsrProcessor
+from sziszapangma.integration.mapper.word_mapper import WordMapper
from sziszapangma.integration.record_path_provider import RecordPathProvider
from sziszapangma.integration.repository.experiment_repository import ExperimentRepository
from sziszapangma.integration.task.processing_task import ProcessingTask
@@ -24,12 +26,17 @@ class AsrTask(ProcessingTask):
def skip_for_record(self, record_id: str, experiment_repository: ExperimentRepository) -> bool:
asr_value = experiment_repository.get_property_for_key(record_id, self._asr_property_name)
+ print(record_id, self._asr_property_name, asr_value)
return asr_value is not None and "transcription" in asr_value
def run_single_process(
self, record_id: str, experiment_repository: ExperimentRepository
) -> None:
file_record_path = self._record_path_provider.get_path(record_id)
+ asr_result = self._asr_processor.call_recognise(file_record_path)
+ asr_result["transcription"] = [
+ WordMapper.to_json_dict(Word.from_string(it)) for it in asr_result["transcription"]
+ ]
experiment_repository.update_property_for_key(
- record_id, self._asr_property_name, self._asr_processor.call_recognise(file_record_path)
+ record_id, self._asr_property_name, asr_result
)
diff --git a/sziszapangma/integration/task/classic_wer_metric_task.py b/sziszapangma/integration/task/classic_wer_metric_task.py
index 2ea41e39ff48e15449fcfaf3ce97fec42fccc941..9a0b63b3b57d35e5823927fb5636e7c9ad48a355 100644
--- a/sziszapangma/integration/task/classic_wer_metric_task.py
+++ b/sziszapangma/integration/task/classic_wer_metric_task.py
@@ -1,7 +1,8 @@
-from typing import Dict, List
+from typing import Any, Dict, List
from sziszapangma.core.alignment.alignment_classic_calculator import AlignmentClassicCalculator
from sziszapangma.core.alignment.alignment_step import AlignmentStep
+from sziszapangma.core.alignment.word import Word
from sziszapangma.core.wer.wer_calculator import WerCalculator
from sziszapangma.integration.mapper.alignment_step_mapper import AlignmentStepMapper
from sziszapangma.integration.mapper.word_mapper import WordMapper
@@ -46,7 +47,7 @@ class ClassicWerMetricTask(ProcessingTask):
record_id, self._gold_transcript_property_name
)
asr_result = experiment_repository.get_property_for_key(record_id, self._asr_property_name)
- if "transcription" in asr_result:
+ if gold_transcript is not None and asr_result is not None and "transcription" in asr_result:
alignment_steps = self._get_alignment(gold_transcript, asr_result["transcription"])
experiment_repository.update_property_for_key(
record_id,
@@ -58,17 +59,19 @@ class ClassicWerMetricTask(ProcessingTask):
)
def _get_alignment(
- self, gold_transcript: List[Dict[str, any]], asr_result: List[Dict[str, any]]
+ self, gold_transcript: List[Dict[str, Any]], asr_result: List[Dict[str, Any]]
) -> List[AlignmentStep]:
gold_transcript_words = [
- WordMapper.from_json_dict(word_dict) for word_dict in gold_transcript
+ # WordMapper.from_json_dict(word_dict)
+ Word(word_dict["id"], word_dict["word"])
+ for word_dict in gold_transcript
]
- asr_words = [WordMapper.from_json_dict(word_dict) for word_dict in asr_result]
+ asr_words = [WordMapper.from_json_dict(word_dict).to_lower() for word_dict in asr_result]
return self._alignment_classic_calculator.calculate_alignment(
reference=gold_transcript_words, hypothesis=asr_words
)
- def calculate_metrics(self, alignment_steps: List[AlignmentStep]) -> Dict[str, any]:
+ def calculate_metrics(self, alignment_steps: List[AlignmentStep]) -> Dict[str, Any]:
"""Calculate all metrics for data sample."""
metrics = dict()
metrics[_CLASSIC_WER] = self._wer_calculator.calculate_wer(alignment_steps)
diff --git a/sziszapangma/integration/task/embedding_wer_metrics_task.py b/sziszapangma/integration/task/embedding_wer_metrics_task.py
index 1f7b25ad23176b83491ab742b53c1214ec4ec62e..81b5d92c729d9da62830a478293cedc4eb63f4d1 100644
--- a/sziszapangma/integration/task/embedding_wer_metrics_task.py
+++ b/sziszapangma/integration/task/embedding_wer_metrics_task.py
@@ -48,16 +48,23 @@ class EmbeddingWerMetricsTask(ProcessingTask):
self._alignment_property_name = alignment_property_name
def skip_for_record(self, record_id: str, experiment_repository: ExperimentRepository) -> bool:
- return experiment_repository.get_property_for_key(record_id, self._metrics_property_name)
+ return (
+ experiment_repository.get_property_for_key(record_id, self._metrics_property_name)
+ is not None
+ )
def run_single_process(self, record_id: str, experiment_repository: ExperimentRepository):
gold_transcript = experiment_repository.get_property_for_key(
record_id, self._gold_transcript_property_name
)
asr_result = experiment_repository.get_property_for_key(record_id, self._asr_property_name)
- if "transcription" in asr_result:
- gold_transcript_words = self._map_words_to_domain(gold_transcript)
- asr_words = self._map_words_to_domain(asr_result["transcription"])
+ if gold_transcript is not None and asr_result is not None and "transcription" in asr_result:
+ gold_transcript_words = self._map_words_to_domain_gold_transcript(gold_transcript)
+ asr_words = [
+ it
+ for it in self._map_words_to_domain(asr_result["transcription"])
+ if len(it.value) > 0
+ ]
soft_alignment = self._alignment_soft_calculator.calculate_alignment(
gold_transcript_words, asr_words
@@ -88,4 +95,10 @@ class EmbeddingWerMetricsTask(ProcessingTask):
@staticmethod
def _map_words_to_domain(input_json_dicts: List[Dict[str, str]]) -> List[Word]:
- return [WordMapper.from_json_dict(word_dict) for word_dict in input_json_dicts]
+ return [WordMapper.from_json_dict(word_dict).to_lower() for word_dict in input_json_dicts]
+
+ @staticmethod
+ def _map_words_to_domain_gold_transcript(input_json_dicts: List[Dict[str, str]]) -> List[Word]:
+ return [
+ Word(word_dict["id"], word_dict["word"]).to_lower() for word_dict in input_json_dicts
+ ]
diff --git a/sziszapangma/integration/task/gold_transcript_task.py b/sziszapangma/integration/task/gold_transcript_task.py
index e4327d17ea7b860c649c87675828c2e072fca5a6..3d22795683838e0b869d0c73c73f03c2acc64dbc 100644
--- a/sziszapangma/integration/task/gold_transcript_task.py
+++ b/sziszapangma/integration/task/gold_transcript_task.py
@@ -19,8 +19,11 @@ class GoldTranscriptTask(ProcessingTask):
self._gold_transcript_property_name = gold_transcript_property_name
def skip_for_record(self, record_id: str, experiment_repository: ExperimentRepository) -> bool:
- return experiment_repository.get_property_for_key(
- record_id, self._gold_transcript_property_name
+ return (
+ experiment_repository.get_property_for_key(
+ record_id, self._gold_transcript_property_name
+ )
+ is not None
)
def run_single_process(self, record_id: str, experiment_repository: ExperimentRepository):
diff --git a/sziszapangma/integration/task/processing_task.py b/sziszapangma/integration/task/processing_task.py
index 8752f900fb1e120b20f8dbfeacc22dfd3e82827e..29f55c1f3e93899c33484b9ccfbf14f55d4d993b 100644
--- a/sziszapangma/integration/task/processing_task.py
+++ b/sziszapangma/integration/task/processing_task.py
@@ -1,3 +1,4 @@
+import traceback
from abc import ABC, abstractmethod
from sziszapangma.integration.record_id_iterator import RecordIdIterator
@@ -33,6 +34,10 @@ class ProcessingTask(ABC):
base_log = f"{self._task_name} processing {part} {record_id}"
if not skip or self._require_update:
print(base_log)
- self.run_single_process(record_id, experiment_repository)
+ try:
+ self.run_single_process(record_id, experiment_repository)
+ except Exception as err:
+ print("Handling run-time error:", err)
+ traceback.print_exc()
else:
print(f"{base_log} -- skipped")
diff --git a/tests/file_stored_embedding_transformer.py b/tests/file_stored_embedding_transformer.py
index dfad1b033a89a04aecc0f31b3cb05b380003a2e9..42dfefa64483fbf1db005673805f0932f4416442 100644
--- a/tests/file_stored_embedding_transformer.py
+++ b/tests/file_stored_embedding_transformer.py
@@ -7,7 +7,7 @@ from sziszapangma.core.transformer.embedding_transformer import EmbeddingTransfo
class FileStoredEmbeddingTransformer(EmbeddingTransformer):
- _cache: Dict[str, np.array]
+ _cache: Dict[str, np.ndarray]
def __init__(self, file_path: str):
with open(file_path, "r") as f: