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nextcloud 추가

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banggae
2026-06-14 19:44:43 +09:00
parent 87b78fbdf8
commit e9efdcd552
7 changed files with 510 additions and 2 deletions
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docker-compose.yml
+38 -2
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@@ -17,8 +17,19 @@ services:
- POSTGRES_PASSWORD=super_secure_password_here # 전체 DB 관리자 비밀번호 (원하는 대로 변경 가능)
networks:
- gitea_joplin_net
# 컨테이너 최초 실행 시 Gitea와 Joplin을 위한 각각의 DB와 유저를 생성하는 스크립트
entrypoint: [ "bash", "-c", "docker-entrypoint.sh postgres & until pg_isready -U postgres; do sleep 1; done; psql -U postgres -c \"CREATE USER gitea WITH PASSWORD 'gitea';\"; psql -U postgres -c \"CREATE DATABASE gitea OWNER gitea;\"; psql -U postgres -c \"CREATE USER joplin WITH PASSWORD 'joplin';\"; psql -U postgres -c \"CREATE DATABASE joplin OWNER joplin;\"; wait" ]
# 컨테이너 최초 실행 시 Gitea, Joplin, Nextcloud를 위한 각각의 DB와 유저를 생성하는 스크립트
entrypoint: [
"bash", "-c",
"docker-entrypoint.sh postgres &
until pg_isready -U postgres; do sleep 1; done;
psql -U postgres -c \"CREATE USER gitea WITH PASSWORD 'gitea';\";
psql -U postgres -c \"CREATE DATABASE gitea OWNER gitea;\";
psql -U postgres -c \"CREATE USER joplin WITH PASSWORD 'joplin';\";
psql -U postgres -c \"CREATE DATABASE joplin OWNER joplin;\";
psql -U postgres -c \"CREATE USER nextcloud WITH PASSWORD 'nextcloud';\";
psql -U postgres -c \"CREATE DATABASE nextcloud OWNER nextcloud;\";
wait"
]
# [Gitea 서비스]
gitea:
@@ -65,3 +76,28 @@ services:
- POSTGRES_DATABASE=joplin
- POSTGRES_USER=joplin
- POSTGRES_PASSWORD=joplin
# [Nextcloud 서비스]
nextcloud:
image: nextcloud:latest
container_name: nextcloud
restart: always
depends_on:
- db
networks:
- gitea_joplin_net
ports:
- "8080:80"
- "8444:443"
volumes:
- /media/docker/nextcloud:/var/www/html
environment:
- POSTGRES_HOST=db
- POSTGRES_PORT=5432
- POSTGRES_DB=nextcloud
- POSTGRES_USER=nextcloud
- POSTGRES_PASSWORD=nextcloud
- NEXTCLOUD_ADMIN_USER=admin
- NEXTCLOUD_ADMIN_PASSWORD=bg0001
- NEXTCLOUD_TRUSTED_DOMAINS=localhost 127.0.0.1:8080 192.168.1.174:8080 localhost:8080 nc.banggae.duckdns.org
- OVERWRITEPROTOCOL=https
nextcloud/apps/photos/vendor/hexogen/kdtree/.github/workflows/tests.yml
Vendored
+43
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@@ -0,0 +1,43 @@
name: Tests
on:
push:
pull_request:
jobs:
tests:
name: PHP ${{ matrix.php }}
runs-on: ubuntu-22.04
strategy:
matrix:
php: ['7.4', '8.0', '8.1', '8.2', '8.3']
steps:
- name: Checkout Code
uses: actions/checkout@v3
with:
fetch-depth: 10
- name: Setup PHP
uses: shivammathur/setup-php@v2
with:
php-version: ${{ matrix.php }}
tools: composer:v2
coverage: none
- name: Setup Problem Matchers
run: echo "::add-matcher::${{ runner.tool_cache }}/phpunit.json"
- name: Install PHP Dependencies
uses: nick-invision/retry@v2
with:
timeout_minutes: 5
max_attempts: 5
command: composer update --no-interaction --no-progress
- name: Execute PHPcs
run: vendor/bin/phpcs --standard=psr2 src/
- name: Execute PHPUnit
run: vendor/bin/phpunit
nextcloud/apps/photos/vendor/nelexa/buffer/.travis.yml
Vendored
+21
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@@ -0,0 +1,21 @@
language: php
php:
- '5.4'
- '5.5'
- '5.6'
- '7.1'
- '7.2'
- '7.3'
cache:
directories:
- vendor
- $HOME/.composer/cache
install:
- travis_retry composer self-update && composer --version
- travis_retry composer install --no-interaction
script:
- composer validate --no-check-lock
- vendor/bin/phpunit -c phpunit.xml
nextcloud/apps/suspicious_login/vendor/amphp/parallel/docs/_config.yml
Vendored
+29
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@@ -0,0 +1,29 @@
kramdown:
input: GFM
toc_levels: 2..3
baseurl: "/parallel"
layouts_dir: ".shared/layout"
includes_dir: ".shared/includes"
exclude: ["Gemfile", "Gemfile.lock", "README.md", "vendor"]
safe: true
repository: amphp/parallel
gems:
- "jekyll-github-metadata"
- "jekyll-relative-links"
defaults:
- scope:
path: ""
type: "pages"
values:
layout: "docs"
shared_asset_path: "/parallel/asset"
navigation:
- processes
- workers
- worker-pool
nextcloud/apps/suspicious_login/vendor/amphp/sync/docs/_config.yml
Vendored
+29
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@@ -0,0 +1,29 @@
kramdown:
input: GFM
toc_levels: 2..3
baseurl: "/sync"
layouts_dir: ".shared/layout"
includes_dir: ".shared/includes"
exclude: ["Gemfile", "Gemfile.lock", "README.md", "vendor"]
safe: true
repository: amphp/sync
gems:
- "jekyll-github-metadata"
- "jekyll-relative-links"
defaults:
- scope:
path: ""
type: "pages"
values:
layout: "docs"
shared_asset_path: "/sync/asset"
navigation:
- mutex
- semaphore
- concurrent-iterator
nextcloud/apps/suspicious_login/vendor/rubix/ml/mkdocs.yml
Vendored
+335
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@@ -0,0 +1,335 @@
site_name: 'Rubix ML'
theme:
name: material
logo: images/app-icon-medium.png
favicon: images/app-icon-small.png
icon:
repo: fontawesome/brands/github
features:
- navigation.tabs
nav:
- Home: https://rubixml.github.io/ML
- Getting Started:
- Welcome: index.md
- What is Machine Learning?: what-is-machine-learning.md
- Installation: installation.md
- Basic Introduction: basic-introduction.md
- User Guide:
- Representing Your Data: representing-your-data.md
- Extracting Data: extracting-data.md
- Preprocessing: preprocessing.md
- Exploring Data: exploring-data.md
- Choosing an Estimator: choosing-an-estimator.md
- Training: training.md
- Inference: inference.md
- Cross-validation: cross-validation.md
- Hyper-parameter Tuning: hyper-parameter-tuning.md
- Model Ensembles: model-ensembles.md
- Model Persistence: model-persistence.md
- API Reference:
- Fundamental Interfaces:
- Estimator: estimator.md
- Learner: learner.md
- Online: online.md
- Parallel: parallel.md
- Persistable: persistable.md
- Probabilistic: probabilistic.md
- Ranks Features: ranks-features.md
- Scoring: scoring.md
- Verbose: verbose.md
- Extractors:
- API Reference: extractors/api.md
- Column Filter: extractors/column-filter.md
- Column Picker: extractors/column-picker.md
- Concatenator: extractors/concatenator.md
- CSV: extractors/csv.md
- Deduplicator: extractors/deduplicator.md
- NDJSON: extractors/ndjson.md
- SQL Table: extractors/sql-table.md
- Dataset Objects:
- API Reference: datasets/api.md
- Generators:
- API Reference: datasets/generators/api.md
- Agglomerate: datasets/generators/agglomerate.md
- Blob: datasets/generators/blob.md
- Circle: datasets/generators/circle.md
- Half Moon: datasets/generators/half-moon.md
- Hyperplane: datasets/generators/hyperplane.md
- Swiss Roll: datasets/generators/swiss-roll.md
- Labeled: datasets/labeled.md
- Unlabeled: datasets/unlabeled.md
- Classifiers:
- AdaBoost: classifiers/adaboost.md
- Classification Tree: classifiers/classification-tree.md
- Extra Tree Classifier: classifiers/extra-tree-classifier.md
- Gaussian Naive Bayes: classifiers/gaussian-naive-bayes.md
- K-d Neighbors: classifiers/kd-neighbors.md
- K Nearest Neighbors: classifiers/k-nearest-neighbors.md
- Logistic Regression: classifiers/logistic-regression.md
- Logit Boost: classifiers/logit-boost.md
- Multilayer Perceptron: classifiers/multilayer-perceptron.md
- Naive Bayes: classifiers/naive-bayes.md
- One Vs Rest: classifiers/one-vs-rest.md
- Radius Neighbors: classifiers/radius-neighbors.md
- Random Forest: classifiers/random-forest.md
- Softmax Classifier: classifiers/softmax-classifier.md
- SVC: classifiers/svc.md
- Regressors:
- Adaline: regressors/adaline.md
- Extra Tree Regressor: regressors/extra-tree-regressor.md
- Gradient Boost: regressors/gradient-boost.md
- K-d Neighbors Regressor: regressors/kd-neighbors-regressor.md
- KNN Regressor: regressors/knn-regressor.md
- MLP Regressor: regressors/mlp-regressor.md
- Radius Neighbors Regressor: regressors/radius-neighbors-regressor.md
- Regression Tree: regressors/regression-tree.md
- Ridge: regressors/ridge.md
- SVR: regressors/svr.md
- Clusterers:
- Seeders:
- K-MC2: clusterers/seeders/k-mc2.md
- Plus Plus: clusterers/seeders/plus-plus.md
- Preset: clusterers/seeders/preset.md
- Random: clusterers/seeders/random.md
- DBSCAN: clusterers/dbscan.md
- Fuzzy C Means: clusterers/fuzzy-c-means.md
- Gaussian Mixture: clusterers/gaussian-mixture.md
- K Means: clusterers/k-means.md
- Mean Shift: clusterers/mean-shift.md
- Anomaly Detectors:
- Gaussian MLE: anomaly-detectors/gaussian-mle.md
- Isolation Forest: anomaly-detectors/isolation-forest.md
- Loda: anomaly-detectors/loda.md
- Local Outlier Factor: anomaly-detectors/local-outlier-factor.md
- One Class SVM: anomaly-detectors/one-class-svm.md
- Robust Z-Score: anomaly-detectors/robust-z-score.md
- Meta Estimators:
- Bootstrap Aggregator: bootstrap-aggregator.md
- Committee Machine: committee-machine.md
- Grid Search: grid-search.md
- Persistent Model: persistent-model.md
- Pipeline: pipeline.md
- Transformers:
- API Reference: transformers/api.md
- Standardization and Normalization:
- L1 Normalizer: transformers/l1-normalizer.md
- L2 Normalizer: transformers/l2-normalizer.md
- Max Absolute Scaler: transformers/max-absolute-scaler.md
- Min Max Normalizer: transformers/min-max-normalizer.md
- Robust Standardizer: transformers/robust-standardizer.md
- Z Scale Standardizer: transformers/z-scale-standardizer.md
- Dimensionality Reduction:
- Gaussian Random Projector: transformers/gaussian-random-projector.md
- Linear Discriminant Analysis: transformers/linear-discriminant-analysis.md
- Principal Component Analysis: transformers/principal-component-analysis.md
- Sparse Random Projector: transformers/sparse-random-projector.md
- Truncated SVD: transformers/truncated-svd.md
- t-SNE: transformers/t-sne.md
- Feature Conversion:
- Interval Discretizer: transformers/interval-discretizer.md
- One Hot Encoder: transformers/one-hot-encoder.md
- Numeric String Converter: transformers/numeric-string-converter.md
- Boolean Converter: transformers/boolean-converter.md
- Feature Expansion:
- Polynomial Expander: transformers/polynomial-expander.md
- Imputation:
- Hot Deck Imputer: transformers/hot-deck-imputer.md
- KNN Imputer: transformers/knn-imputer.md
- Missing Data Imputer: transformers/missing-data-imputer.md
- Natural Language:
- BM25 Transformer: transformers/bm25-transformer.md
- Regex Filter: transformers/regex-filter.md
- Text Normalizer: transformers/text-normalizer.md
- Multibyte Text Normalizer: transformers/multibyte-text-normalizer.md
- Stop Word Filter: transformers/stop-word-filter.md
- TF-IDF Transformer: transformers/tf-idf-transformer.md
- Token Hashing Vectorizer: transformers/token-hashing-vectorizer.md
- Word Count Vectorizer: transformers/word-count-vectorizer.md
- Images:
- Image Resizer: transformers/image-resizer.md
- Image Rotator: transformers/image-rotator.md
- Image Vectorizer: transformers/image-vectorizer.md
- Other:
- Lambda Function: transformers/lambda-function.md
- Neural Network:
- Hidden Layers:
- Activation: neural-network/hidden-layers/activation.md
- Batch Norm: neural-network/hidden-layers/batch-norm.md
- Dense: neural-network/hidden-layers/dense.md
- Dropout: neural-network/hidden-layers/dropout.md
- Noise: neural-network/hidden-layers/noise.md
- PReLU: neural-network/hidden-layers/prelu.md
- Swish: neural-network/hidden-layers/swish.md
- Activation Functions:
- ELU: neural-network/activation-functions/elu.md
- GELU: neural-network/activation-functions/gelu.md
- Hyperbolic Tangent: neural-network/activation-functions/hyperbolic-tangent.md
- Leaky ReLU: neural-network/activation-functions/leaky-relu.md
- ReLU: neural-network/activation-functions/relu.md
- SELU: neural-network/activation-functions/selu.md
- Sigmoid: neural-network/activation-functions/sigmoid.md
- Softmax: neural-network/activation-functions/softmax.md
- Soft Plus: neural-network/activation-functions/soft-plus.md
- Soft Sign: neural-network/activation-functions/softsign.md
- SiLU: neural-network/activation-functions/silu.md
- Thresholded ReLU: neural-network/activation-functions/thresholded-relu.md
- Cost Functions:
- Cross Entropy: neural-network/cost-functions/cross-entropy.md
- Huber Loss: neural-network/cost-functions/huber-loss.md
- Least Squares: neural-network/cost-functions/least-squares.md
- Relative Entropy: neural-network/cost-functions/relative-entropy.md
- Initializers:
- Constant: neural-network/initializers/constant.md
- He: neural-network/initializers/he.md
- LeCun: neural-network/initializers/lecun.md
- Normal: neural-network/initializers/normal.md
- Uniform: neural-network/initializers/uniform.md
- Xavier 1: neural-network/initializers/xavier-1.md
- Xavier 2: neural-network/initializers/xavier-2.md
- Optimizers:
- AdaGrad: neural-network/optimizers/adagrad.md
- Adam: neural-network/optimizers/adam.md
- AdaMax: neural-network/optimizers/adamax.md
- Cyclical: neural-network/optimizers/cyclical.md
- Momentum: neural-network/optimizers/momentum.md
- RMS Prop: neural-network/optimizers/rms-prop.md
- Step Decay: neural-network/optimizers/step-decay.md
- Stochastic: neural-network/optimizers/stochastic.md
- Graph:
- Trees:
- Ball Tree: graph/trees/ball-tree.md
- K-d Tree: graph/trees/k-d-tree.md
- Vantage Tree: graph/trees/vantage-tree.md
- Kernels:
- Distance:
- Canberra: kernels/distance/canberra.md
- Cosine: kernels/distance/cosine.md
- Diagonal: kernels/distance/diagonal.md
- Euclidean: kernels/distance/euclidean.md
- Gower: kernels/distance/gower.md
- Hamming: kernels/distance/hamming.md
- Jaccard: kernels/distance/jaccard.md
- Manhattan: kernels/distance/manhattan.md
- Minkowski: kernels/distance/minkowski.md
- Safe Euclidean: kernels/distance/safe-euclidean.md
- Sparse Cosine: kernels/distance/sparse-cosine.md
- SVM:
- Linear: kernels/svm/linear.md
- Polynomial: kernels/svm/polynomial.md
- RBF: kernels/svm/rbf.md
- Sigmoidal: kernels/svm/sigmoidal.md
- Cross Validation:
- Metrics:
- API Reference: cross-validation/metrics/api.md
- Accuracy: cross-validation/metrics/accuracy.md
- Brier Score: cross-validation/metrics/brier-score.md
- F Beta: cross-validation/metrics/f-beta.md
- Informedness: cross-validation/metrics/informedness.md
- MCC: cross-validation/metrics/mcc.md
- Mean Absolute Error: cross-validation/metrics/mean-absolute-error.md
- Mean Squared Error: cross-validation/metrics/mean-squared-error.md
- Median Absolute Error: cross-validation/metrics/median-absolute-error.md
- Probabilistic Accuracy: cross-validation/metrics/probabilistic-accuracy.md
- RMSE: cross-validation/metrics/rmse.md
- R Squared: cross-validation/metrics/r-squared.md
- SMAPE: cross-validation/metrics/smape.md
- Completeness: cross-validation/metrics/completeness.md
- Homogeneity: cross-validation/metrics/homogeneity.md
- Rand Index: cross-validation/metrics/rand-index.md
- Top K Accuracy: cross-validation/metrics/top-k-accuracy.md
- V Measure: cross-validation/metrics/v-measure.md
- Reports:
- API Reference: cross-validation/reports/api.md
- Aggregate Report: cross-validation/reports/aggregate-report.md
- Confusion Matrix: cross-validation/reports/confusion-matrix.md
- Contingency Table: cross-validation/reports/contingency-table.md
- Error Analysis: cross-validation/reports/error-analysis.md
- Multiclass Breakdown: cross-validation/reports/multiclass-breakdown.md
- Validators:
- API Reference: cross-validation/api.md
- Hold Out: cross-validation/hold-out.md
- K Fold: cross-validation/k-fold.md
- Leave P Out: cross-validation/leave-p-out.md
- Monte Carlo: cross-validation/monte-carlo.md
- Tokenizers:
- K-Skip-N-Gram: tokenizers/k-skip-n-gram.md
- N-Gram: tokenizers/n-gram.md
- Sentence: tokenizers/sentence.md
- Whitespace: tokenizers/whitespace.md
- Word: tokenizers/word.md
- Word Stemmer: tokenizers/word-stemmer.md
- Persisters:
- API Reference: persisters/api.md
- Filesystem: persisters/filesystem.md
- Serializers:
- API Reference: serializers/api.md
- Gzip Native: serializers/gzip-native.md
- Native: serializers/native.md
- RBX: serializers/rbx.md
- Loggers:
- Screen: loggers/screen.md
- Backends:
- Amp: backends/amp.md
- Serial: backends/serial.md
- Helpers:
- Params: helpers/params.md
- Strategies:
- Constant: strategies/constant.md
- K Most Frequent: strategies/k-most-frequent.md
- Mean: strategies/mean.md
- Percentile: strategies/percentile.md
- Prior: strategies/prior.md
- Wild Guess: strategies/wild-guess.md
- FAQ: faq.md
extra:
version:
provider: mike
analytics:
provider: google
property: UA-136137674-1
social:
- icon: fontawesome/brands/github
link: https://github.com/RubixML
- icon: fontawesome/brands/telegram
link: https://t.me/RubixML
use_directory_urls: false
plugins:
- search
- git-revision-date-localized:
type: date
enable_creation_date: true
markdown_extensions:
- attr_list
- abbr
- admonition
- pymdownx.highlight:
extend_pygments_lang:
- name: php
lang: php
options:
startinline: true
- pymdownx.superfences
- pymdownx.arithmatex:
generic: true
- toc:
permalink: "#"
- footnotes
extra_javascript:
- https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
- js/custom.js
extra_css:
- css/custom.css
repo_url: https://github.com/RubixML/ML
site_url: https://rubixml.github.io/ML
site_description: 'A high-level machine learning and deep learning library for the PHP language.'
copyright: '© 2022 The Rubix ML Community'
nextcloud/apps/twofactor_totp/vendor/rullzer/easytotp/.travis.yml
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@@ -0,0 +1,15 @@
language: php
php:
- 7.1
- 7.2
- 7.3
cache:
directories:
- "$HOME/.composer/cache/files"
before_install:
- php --info
- composer self-update
- composer install