diff --git a/ml_ai/nueral_nets/README.md b/ml_ai/nueral_nets/README.md new file mode 100644 index 0000000..40b3284 --- /dev/null +++ b/ml_ai/nueral_nets/README.md @@ -0,0 +1,63 @@ +# Neural Networks in Python Youtube tutorial + +https://www.youtube.com/watch?v=aBIGJeHRZLQ + +## Hyper-parameters + +- Batch size: How many data points are we passing through the network during each step. +- Number of Hidden Layers +- Number of Neurons per layer +- Learning Rate: How much do we update the network each step through +- Optimizer: Algorith to update the nueral network + - Adam is very popular +- Dropout: Probability nodes are randomly disconnected during training. If we drop out +nodes randomly the reset of the network has to keep up. Our training data will not be +complete and dropout helps simulate those unknowns. +- Epochs: How many times do we go through our training data + +## How do we choose layers, neurons, and hyperparams +- Use training performance (with a validation split) to guide your decisions + - High accuracy on training, but not validation (overfit) - Reduce # of params. + - Low accuracy on the validation set may mean you are underfitting the data - Increase # of params. +- Automatically search for best hyperparams with a grid search (learning rate, batch size, optimizer, +dropout, etc. ) + +## Activation functions + +Activation functions introduce non-linearity into our neural net calculations. It +is a method that allows us to fit to more complex data and compute more complex things. + +Ex: +- Sigmoid +- Tanh +- ReLU +- Leaky ReLU +- Maxout +- ELU + +### Hidden Layers +To start ReLU isn't a bad way to go in your hidden layers. ReLU avoids the vanishing +gradient problem, and is usually a safe bet. Your mileage may vary. + +### Output Layer +Softmax function is good for single-label classification. (Ex: Is it Red, Yellow, Blue, or Green?) + +Sigmoid is good for multi-label classification. (Ex What is the color and shape? Label1: Color Label2: Shape) + + +### Keras vs PyTorch + +Keras (Uses Tensorflow under the hood.) + +- Great for getting started quickly & rapid experimentation. +- Lacks control & customization for more complex projects. + +Tensorflow + +- Historically the most popular framework for industry +- Can get pretty complicated & documentation isn't always consistent. + +PyTorch + +- Favorite of the research / acedemic community +- Very pythonic syntax, can easily access values throughout the network. \ No newline at end of file diff --git a/ml_ai/nueral_nets/clusters/data/test.csv b/ml_ai/nueral_nets/clusters/data/test.csv new file mode 100644 index 0000000..730ecc4 --- /dev/null +++ b/ml_ai/nueral_nets/clusters/data/test.csv @@ -0,0 +1,1201 @@ +x,y,color +-0.17386771099060572,1.3818524146812923,red +-0.7241481010075042,1.8830076687949011,red +-0.42391534917316087,1.4082969448269056,red +-0.6501619454419638,1.2960671145544425,red +0.9579330352759587,0.6331106854166775,red 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+-0.8945359242943074,2.9640022737510847,purple +0.4266492243204427,3.5111218281631307,purple +-0.4145028000501698,2.7123466147981734,purple +-0.24801755216900112,2.501135022461912,purple diff --git a/ml_ai/nueral_nets/clusters/figure.png b/ml_ai/nueral_nets/clusters/figure.png new file mode 100644 index 0000000..6421262 Binary files /dev/null and b/ml_ai/nueral_nets/clusters/figure.png differ diff --git a/ml_ai/nueral_nets/clusters/network_clusters.py b/ml_ai/nueral_nets/clusters/network_clusters.py new file mode 100644 index 0000000..a74a369 --- /dev/null +++ b/ml_ai/nueral_nets/clusters/network_clusters.py @@ -0,0 +1,41 @@ +import tensorflow as tf +from tensorflow import keras + +import pandas as pd +import numpy as np + +train_df = pd.read_csv('./data/train.csv') +color_dict = {'red': 0, 'blue': 1, 'green': 2, 'teal': 3, 'orange': 4, 'purple': 5} +train_df['color'] = train_df.color.apply(lambda x: color_dict[x]) +np.random.shuffle(train_df.values) + +print(train_df.head()) +print(train_df.color.unique()) + +model = keras.Sequential([ + keras.layers.Dense(32, input_shape=(2,), activation='relu'), + keras.layers.Dense(32, activation='relu'), + keras.layers.Dense(6, activation='sigmoid')]) + +model.compile(optimizer='adam', + loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), + metrics=['accuracy']) + +x = np.column_stack((train_df.x.values, train_df.y.values)) + +model.fit(x, train_df.color.values, batch_size=4, epochs=10) + +test_df = pd.read_csv('./data/test.csv') +test_x = np.column_stack((test_df.x.values, test_df.y.values)) + +print("EVALUATION") +test_df['color'] = test_df.color.apply(lambda x: color_dict[x]) +model.evaluate(test_x, test_df.color.values) + + +print("Prediction", np.round(model.predict(np.array([[0,3]])))) + + + + + diff --git a/ml_ai/nueral_nets/clusters_two_categories/data/test.csv b/ml_ai/nueral_nets/clusters_two_categories/data/test.csv new file mode 100644 index 0000000..2e6f056 --- /dev/null +++ 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+0.8458216670316294,3.345032800832552,purple,* +0.18387896895761036,2.0755604184049594,purple,* diff --git a/ml_ai/nueral_nets/clusters_two_categories/figure.png b/ml_ai/nueral_nets/clusters_two_categories/figure.png new file mode 100644 index 0000000..385bd7b Binary files /dev/null and b/ml_ai/nueral_nets/clusters_two_categories/figure.png differ diff --git a/ml_ai/nueral_nets/clusters_two_categories/network_clusters_2.py b/ml_ai/nueral_nets/clusters_two_categories/network_clusters_2.py new file mode 100644 index 0000000..877ccbd --- /dev/null +++ b/ml_ai/nueral_nets/clusters_two_categories/network_clusters_2.py @@ -0,0 +1,53 @@ +import tensorflow as tf +from tensorflow import keras + +import pandas as pd +import numpy as np + +# 3 +# [0 0 0 0 0 1 0 0 1] + + +train_df = pd.read_csv('./data/train.csv') +one_hot_color = pd.get_dummies(train_df.color).values +one_hot_marker = pd.get_dummies(train_df.marker).values + +labels = np.concatenate((one_hot_color, one_hot_marker), axis=1) +print(labels[0]) + +print(train_df.head()) + +model = keras.Sequential([ + keras.layers.Dense(64, input_shape=(2,), activation='relu'), + keras.layers.Dense(64, activation='relu'), + keras.layers.Dense(9, activation='sigmoid')]) + +model.compile(optimizer='adam', + loss=keras.losses.BinaryCrossentropy(from_logits=True), + metrics=['accuracy']) + +x = np.column_stack((train_df.x.values, train_df.y.values)) + +np.random.RandomState(seed=42).shuffle(x) +np.random.RandomState(seed=42).shuffle(labels) + +model.fit(x, labels, batch_size=4, epochs=10) + +test_df = pd.read_csv('./data/test.csv') +test_x = np.column_stack((test_df.x.values, test_df.y.values)) + +test_one_hot_color = pd.get_dummies(test_df.color).values +test_one_hot_marker = pd.get_dummies(test_df.marker).values + +test_labels = np.concatenate((test_one_hot_color, test_one_hot_marker), axis=1) + +print("EVALUATION") +model.evaluate(test_x, test_labels) + + +print("Prediction", np.round(model.predict(np.array([[0,3], [0,1], [-2, 1]])))) + + + + + diff --git a/ml_ai/nueral_nets/complex/data/test.csv b/ml_ai/nueral_nets/complex/data/test.csv new file mode 100644 index 0000000..b6e868c --- /dev/null +++ b/ml_ai/nueral_nets/complex/data/test.csv @@ -0,0 +1,5001 @@ +x,y,color +-2.4518387666188577,-3.967665233311747,1.0 +-4.077216106730118,1.0635969554207856,1.0 +1.7186597060801425,-4.612983442393098,1.0 +-2.187173643153064,-4.731947092402101,1.0 +-3.6950857531216617,1.3645957027436397,0.0 +-3.186965286012491,-4.263638214386694,1.0 +0.432436624000454,2.1168323013754,1.0 +-2.738451279711386,2.3692337344258574,1.0 +0.30178813229168266,4.172417002834907,1.0 +3.251232988759206,0.9199219037951352,1.0 +-0.5957731040362626,-3.118097295947485,0.0 +2.0825761281107287,-4.915960854683801,0.0 +0.46439298483816227,-2.851098861540764,1.0 +-0.8077928091224038,-3.224052074313355,0.0 +0.5901829592409369,4.659053269234041,1.0 +3.1210591673691095,3.0686081559336795,0.0 +2.8502373050044207,-0.15774077681064824,1.0 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numpy as np + +train_df = pd.read_csv('./data/train.csv') +np.random.shuffle(train_df.values) + +print(train_df.head()) + +model = keras.Sequential([ + keras.layers.Dense(256, input_shape=(2,), activation='relu'), + keras.layers.Dropout(0.4), + keras.layers.Dense(128, activation='relu'), + keras.layers.Dropout(0.4), + keras.layers.Dense(128, activation='relu'), + keras.layers.Dense(2, activation='sigmoid')]) + +model.compile(optimizer='adam', + loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), + metrics=['accuracy']) + +x = np.column_stack((train_df.x.values, train_df.y.values)) + +model.fit(x, train_df.color.values, batch_size=32, epochs=20) + +test_df = pd.read_csv('./data/test.csv') +test_x = np.column_stack((test_df.x.values, test_df.y.values)) + +print("EVALUATION") +model.evaluate(test_x, test_df.color.values) + + + + + diff --git a/ml_ai/nueral_nets/linear/data/test.csv b/ml_ai/nueral_nets/linear/data/test.csv new file mode 100644 index 0000000..ad92bdc --- 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+0.232950629911306,-0.7234049429975189,1.0 diff --git a/ml_ai/nueral_nets/linear/figure.png b/ml_ai/nueral_nets/linear/figure.png new file mode 100644 index 0000000..4cd81ab Binary files /dev/null and b/ml_ai/nueral_nets/linear/figure.png differ diff --git a/ml_ai/nueral_nets/linear/network_linear.py b/ml_ai/nueral_nets/linear/network_linear.py new file mode 100644 index 0000000..dbd2649 --- /dev/null +++ b/ml_ai/nueral_nets/linear/network_linear.py @@ -0,0 +1,71 @@ +""" +In this example we are trying to predict color of a point only with the x and y values. + +x,y,color +x : X coordinate on a cartisian coordinate plain +y : Y coordinate on a cartision coordinate plain +color: One of two values (0 , 1). + +""" + +import tensorflow as tf +from tensorflow import keras + +import pandas as pd +import numpy as np + +train_df = pd.read_csv('./data/train.csv') + +# You always want to shuffle your training data. This can avoid things like in this particular +# Set of training data, where our colors are all grouped in sequence. We want to avoid having +# Highly correalated data next to each other. Much more like how we will see in the wild. + +# This shuffle method works in place. You do not need to set the result to another variable. +np.random.shuffle(train_df.values) + +print(train_df.head()) + +# Sequential here lets us define our layers in sequence from input to output. +# This example is using a fully connected feed forward network (Dense). +# 2 Input -> 4 Hidden -> 2 output +model = keras.Sequential([ + # Our input data is x and y + keras.layers.Dense(4, input_shape=(2,), activation='relu'), + keras.layers.Dense(2, activation='sigmoid')]) + +# You can view what a loss function here is https://www.tensorflow.org/api_docs/python/tf +# CategoricalCrossentropy is encoded in a "One hot" fashion. SparseCategoricalCrossentropy +# Expects two or more labels to be encoded as integers. + +# Don't know what Logits means? https://stackoverflow.com/questions/34240703/what-is-logits-softmax-and-softmax-cross-entropy-with-logits + +# So we aren't using input values between 0 and 1 so we want to use the keyword. + +model.compile(optimizer='adam', + loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), + metrics=['accuracy']) + + +print(train_df.head()) + +# Converts dataframe to a numpy array stacking the two input values together +x = np.column_stack((train_df.x.values, train_df.y.values)) + +# TUNING ################### + +# Look up what the arg values are expected or supported. Here they are using a np array but there +# Are other acceptable values. +# model.fit(x, train_df.color.values, batch_size=16) # 50-ish % +# model.fit(x, train_df.color.values, batch_size=4) # 81-ish % +# Try going back and doubling (8) the the hidden layer size. I got 88% accuracy. + +# Running 5 epochs showed that the NN can classify 100% of the training data correctly +# This makes sense because our data is linear and well labeled. +model.fit(x, train_df.color.values, batch_size=4, epochs=5) + +test_df = pd.read_csv('./data/test.csv') +test_x = np.column_stack((test_df.x.values, test_df.y.values)) + +print("EVALUATION") +# Is this a "manual" holdout? +model.evaluate(test_x, test_df.color.values) diff --git a/ml_ai/nueral_nets/quadratic/data/test.csv b/ml_ai/nueral_nets/quadratic/data/test.csv new file mode 100644 index 0000000..338d7ac --- /dev/null +++ b/ml_ai/nueral_nets/quadratic/data/test.csv @@ -0,0 +1,1001 @@ +x,y,color +-0.7096941625462572,1.9029528836726144,0.0 +1.3580630742231872,2.923886575502412,0.0 +-0.6841741770348531,2.125849963706411,0.0 +3.1903836568401065,11.425374119856578,0.0 +-1.225524232311642,3.1784161786065193,0.0 +1.0665005026329517,2.3826871420484,0.0 +1.011963332474429,2.34802210817194,0.0 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+-0.09432202289648295,-1.5684575792581785,1.0 +-0.17894698783116603,-1.700145808012158,1.0 +0.957273482453104,-0.7589705891963454,1.0 +0.9836388839823043,-0.6659046666930706,1.0 +-2.4716530996260513,4.410419908690034,1.0 +-4.837127038790358,21.91173589468564,1.0 +-2.159130266368857,3.1096451099533993,1.0 +-4.506704865600495,19.178030131901775,1.0 +-0.0003437493543128056,-1.611153215506796,1.0 +3.9814673560050053,14.326528507239786,1.0 +-3.0506732694456073,7.392351777898996,1.0 diff --git a/ml_ai/nueral_nets/quadratic/figure.png b/ml_ai/nueral_nets/quadratic/figure.png new file mode 100644 index 0000000..476695a Binary files /dev/null and b/ml_ai/nueral_nets/quadratic/figure.png differ diff --git a/ml_ai/nueral_nets/quadratic/network_quadratic.py b/ml_ai/nueral_nets/quadratic/network_quadratic.py new file mode 100644 index 0000000..2841753 --- /dev/null +++ b/ml_ai/nueral_nets/quadratic/network_quadratic.py @@ -0,0 +1,34 @@ +import tensorflow as tf +from tensorflow import keras + +import pandas as pd +import numpy as np + +train_df = pd.read_csv('./data/train.csv') +np.random.shuffle(train_df.values) + +print(train_df.head()) + +model = keras.Sequential([ + keras.layers.Dense(32, input_shape=(2,), activation='relu'), + keras.layers.Dense(32, activation='relu'), + keras.layers.Dense(2, activation='sigmoid')]) + +model.compile(optimizer='adam', + loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), + metrics=['accuracy']) + +x = np.column_stack((train_df.x.values, train_df.y.values)) + +model.fit(x, train_df.color.values, batch_size=4, epochs=10) + +test_df = pd.read_csv('./data/test.csv') +test_x = np.column_stack((test_df.x.values, test_df.y.values)) + +print("EVALUATION") +model.evaluate(test_x, test_df.color.values) + + + + + diff --git a/ml_ai/requirements.in b/ml_ai/requirements.in new file mode 100644 index 0000000..6c2e635 --- /dev/null +++ b/ml_ai/requirements.in @@ -0,0 +1,2 @@ +tensorflow +pandas \ No newline at end of file diff --git a/ml_ai/requirements.txt b/ml_ai/requirements.txt new file mode 100644 index 0000000..ccf0617 --- /dev/null +++ b/ml_ai/requirements.txt @@ -0,0 +1,48 @@ +# +# This file is autogenerated by pip-compile +# To update, run: +# +# pip-compile ml_ai/requirements.in +# +absl-py==0.9.0 # via tensorboard, tensorflow +astunparse==1.6.3 # via tensorflow +cachetools==4.1.0 # via google-auth +certifi==2020.4.5.1 # via requests +chardet==3.0.4 # via requests +gast==0.3.3 # via tensorflow +google-auth-oauthlib==0.4.1 # via tensorboard +google-auth==1.14.3 # via google-auth-oauthlib, tensorboard +google-pasta==0.2.0 # via tensorflow +grpcio==1.29.0 # via tensorboard, tensorflow +h5py==2.10.0 # via tensorflow +idna==2.9 # via requests +importlib-metadata==1.6.0 # via markdown +keras-preprocessing==1.1.2 # via tensorflow +markdown==3.2.2 # via tensorboard +numpy==1.18.4 # via h5py, keras-preprocessing, opt-einsum, pandas, scipy, tensorboard, tensorflow +oauthlib==3.1.0 # via requests-oauthlib +opt-einsum==3.2.1 # via tensorflow +pandas==1.0.3 # via -r ml_ai/requirements.in +protobuf==3.12.0 # via tensorboard, tensorflow +pyasn1-modules==0.2.8 # via google-auth +pyasn1==0.4.8 # via pyasn1-modules, rsa +python-dateutil==2.8.1 # via pandas +pytz==2020.1 # via pandas +requests-oauthlib==1.3.0 # via google-auth-oauthlib +requests==2.23.0 # via requests-oauthlib, tensorboard +rsa==4.0 # via google-auth +scipy==1.4.1 # via tensorflow +six==1.14.0 # via absl-py, astunparse, google-auth, google-pasta, grpcio, h5py, keras-preprocessing, protobuf, python-dateutil, tensorboard, tensorflow +tensorboard-plugin-wit==1.6.0.post3 # via tensorboard +tensorboard==2.2.1 # via tensorflow +tensorflow-estimator==2.2.0 # via tensorflow +tensorflow==2.2.0 # via -r ml_ai/requirements.in +termcolor==1.1.0 # via tensorflow +urllib3==1.25.9 # via requests +werkzeug==1.0.1 # via tensorboard +wheel==0.34.2 # via astunparse, tensorboard, tensorflow +wrapt==1.12.1 # via tensorflow +zipp==3.1.0 # via importlib-metadata + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/pelican_blog/Makefile b/pelican_blog/Makefile new file mode 100644 index 0000000..9c98540 --- /dev/null +++ b/pelican_blog/Makefile @@ -0,0 +1,75 @@ +PY?=python3 +PELICAN?=pelican +PELICANOPTS= + +BASEDIR=$(CURDIR) +INPUTDIR=$(BASEDIR)/content +OUTPUTDIR=$(BASEDIR)/output +CONFFILE=$(BASEDIR)/pelicanconf.py +PUBLISHCONF=$(BASEDIR)/publishconf.py + + +DEBUG ?= 0 +ifeq ($(DEBUG), 1) + PELICANOPTS += -D +endif + +RELATIVE ?= 0 +ifeq ($(RELATIVE), 1) + PELICANOPTS += --relative-urls +endif + +help: + @echo 'Makefile for a pelican Web site ' + @echo ' ' + @echo 'Usage: ' + @echo ' make html (re)generate the web site ' + @echo ' make clean remove the generated files ' + @echo ' make regenerate regenerate files upon modification ' + @echo ' make publish generate using production settings ' + @echo ' make serve [PORT=8000] serve site at http://localhost:8000' + @echo ' make serve-global [SERVER=0.0.0.0] serve (as root) to $(SERVER):80 ' + @echo ' make devserver [PORT=8000] serve and regenerate together ' + @echo ' make ssh_upload upload the web site via SSH ' + @echo ' make rsync_upload upload the web site via rsync+ssh ' + @echo ' ' + @echo 'Set the DEBUG variable to 1 to enable debugging, e.g. make DEBUG=1 html ' + @echo 'Set the RELATIVE variable to 1 to enable relative urls ' + @echo ' ' + +html: + $(PELICAN) $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) + +clean: + [ ! -d $(OUTPUTDIR) ] || rm -rf $(OUTPUTDIR) + +regenerate: + $(PELICAN) -r $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) + +serve: +ifdef PORT + $(PELICAN) -l $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) -p $(PORT) +else + $(PELICAN) -l $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) +endif + +serve-global: +ifdef SERVER + $(PELICAN) -l $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) -p $(PORT) -b $(SERVER) +else + $(PELICAN) -l $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) -p $(PORT) -b 0.0.0.0 +endif + + +devserver: +ifdef PORT + $(PELICAN) -lr $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) -p $(PORT) +else + $(PELICAN) -lr $(INPUTDIR) -o $(OUTPUTDIR) -s $(CONFFILE) $(PELICANOPTS) +endif + +publish: + $(PELICAN) $(INPUTDIR) -o $(OUTPUTDIR) -s $(PUBLISHCONF) $(PELICANOPTS) + + +.PHONY: html help clean regenerate serve serve-global devserver publish \ No newline at end of file diff --git a/pelican_blog/README.md b/pelican_blog/README.md new file mode 100644 index 0000000..4f058f3 --- /dev/null +++ b/pelican_blog/README.md @@ -0,0 +1,11 @@ +# Runcible Blog + +Making use of the Pelican static site generator to build a blog. Following [this tutorial](https://shahayush.com/2020/03/web-pelican-pt1-setup/.). +It makes use of the [Flex theme](https://github.com/alexandrevicenzi/Flex), but I like the [Bulrush](https://github.com/textbook/bulrush). Alternatively, [Pneumatic](https://github.com/iKevinY/pneumatic) looks pretty minimal and maybe a good choice for a code blog. + + + +``` +make html +make serve +``` \ No newline at end of file diff --git a/pelican_blog/output/archives.html b/pelican_blog/output/archives.html new file mode 100644 index 0000000..80a6bd8 --- /dev/null +++ b/pelican_blog/output/archives.html @@ -0,0 +1,127 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Runcible – Archives + + + + +
+ + +
+
+

Archives

+
+
+
+ +
+
+
+ + +
+ + + + + + + + + \ No newline at end of file diff --git a/pelican_blog/output/authors.html b/pelican_blog/output/authors.html new file mode 100644 index 0000000..e1bc69b --- /dev/null +++ b/pelican_blog/output/authors.html @@ -0,0 +1,126 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Runcible – Authors + + + + +
+ + +
+
+

Authors

+
+
+
    +
+
+
+ + +
+ + + + + + + + + \ No newline at end of file diff --git a/pelican_blog/output/categories.html b/pelican_blog/output/categories.html new file mode 100644 index 0000000..0ba3e2f --- /dev/null +++ b/pelican_blog/output/categories.html @@ -0,0 +1,126 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Runcible – Categories + + + + +
+ + +
+
+

Categories

+
+
+
    +
+
+
+ + +
+ + + + + + + + + \ No newline at end of file diff --git a/pelican_blog/output/index.html b/pelican_blog/output/index.html new file mode 100644 index 0000000..3ade0d7 --- /dev/null +++ b/pelican_blog/output/index.html @@ -0,0 +1,124 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Runcible + + + + +
+ + + + + + + + + + +
+ + + + + + + + + \ No newline at end of file diff --git a/pelican_blog/output/sitemap.xml b/pelican_blog/output/sitemap.xml new file mode 100644 index 0000000..958ca8e --- /dev/null +++ b/pelican_blog/output/sitemap.xml @@ -0,0 +1,41 @@ + + + + +/ +2020-05-14T22:01:37-00:00 +daily +0.5 + + + +/tags.html +2020-05-14T22:01:37-00:00 +daily +0.5 + + + +/categories.html +2020-05-14T22:01:37-00:00 +daily +0.5 + + + +/authors.html +2020-05-14T22:01:37-00:00 +daily +0.5 + + + +/archives.html +2020-05-14T22:01:37-00:00 +daily +0.5 + + + diff --git a/pelican_blog/output/tags.html b/pelican_blog/output/tags.html new file mode 100644 index 0000000..df4f9a1 --- /dev/null +++ b/pelican_blog/output/tags.html @@ -0,0 +1,125 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Runcible – Tags + + + + +
+ + +
+
+

Tags

+
+
+
+
+
+ + +
+ + + + + + + + + \ No newline at end of file diff --git a/pelican_blog/output/theme/css/fonts.css b/pelican_blog/output/theme/css/fonts.css new file mode 100644 index 0000000..5601507 --- /dev/null +++ b/pelican_blog/output/theme/css/fonts.css @@ -0,0 +1,12 @@ +@font-face { + font-family: 'Yanone Kaffeesatz'; + font-style: normal; + font-weight: 400; + src: + local('Yanone Kaffeesatz Regular'), + local('YanoneKaffeesatz-Regular'), + /* from https://fonts.gstatic.com/s/yanonekaffeesatz/v8/YDAoLskQQ5MOAgvHUQCcLRTHiN2BPBirwIkMLKUspj4.woff */ + url('../fonts/Yanone_Kaffeesatz_400.woff') format('woff'), + /* from https://fonts.gstatic.com/s/yanonekaffeesatz/v8/YDAoLskQQ5MOAgvHUQCcLfGwxTS8d1Q9KiDNCMKLFUM.woff2 */ + url('../fonts/Yanone_Kaffeesatz_400.woff2') format('woff2'); +} diff --git a/pelican_blog/output/theme/css/main.css b/pelican_blog/output/theme/css/main.css new file mode 100644 index 0000000..2b9d96e --- /dev/null +++ b/pelican_blog/output/theme/css/main.css @@ -0,0 +1,467 @@ +/* + Name: Smashing HTML5 + Date: July 2009 + Description: Sample layout for HTML5 and CSS3 goodness. + Version: 1.0 + License: MIT + Licensed by: Smashing Media GmbH + Original author: Enrique Ramírez +*/ + +/* Imports */ +@import url("reset.css"); +@import url("pygment.css"); +@import url("typogrify.css"); +@import url("fonts.css"); + +/***** Global *****/ +/* Body */ +body { + background: #F5F4EF; + color: #000305; + font-size: 87.5%; /* Base font size: 14px */ + font-family: 'Trebuchet MS', Trebuchet, 'Lucida Sans Unicode', 'Lucida Grande', 'Lucida Sans', Arial, sans-serif; + line-height: 1.429; + margin: 0; + padding: 0; + text-align: left; +} + +/* Headings */ +h1 {font-size: 2em } +h2 {font-size: 1.571em} /* 22px */ +h3 {font-size: 1.429em} /* 20px */ +h4 {font-size: 1.286em} /* 18px */ +h5 {font-size: 1.143em} /* 16px */ +h6 {font-size: 1em} /* 14px */ + +h1, h2, h3, h4, h5, h6 { + font-weight: 400; + line-height: 1.1; + margin-bottom: .8em; + font-family: 'Yanone Kaffeesatz', arial, serif; +} + +h3, h4, h5, h6 { margin-top: .8em; } + +hr { border: 2px solid #EEEEEE; } + +/* Anchors */ +a {outline: 0;} +a img {border: 0px; text-decoration: none;} +a:link, a:visited { + color: #C74350; + padding: 0 1px; + text-decoration: underline; +} +a:hover, a:active { + background-color: #C74350; + color: #fff; + text-decoration: none; + text-shadow: 1px 1px 1px #333; +} + +h1 a:hover { + background-color: inherit +} + +/* Paragraphs */ +div.line-block, +p { margin-top: 1em; + margin-bottom: 1em;} + +strong, b {font-weight: bold;} +em, i {font-style: italic;} + +/* Lists */ +ul { + list-style: outside disc; + margin: 0em 0 0 1.5em; +} + +ol { + list-style: outside decimal; + margin: 0em 0 0 1.5em; +} + +li { margin-top: 0.5em; + margin-bottom: 1em; } + +.post-info { + float:right; + margin:10px; + padding:5px; +} + +.post-info p{ + margin-top: 1px; + margin-bottom: 1px; +} + +.readmore { float: right } + +dl {margin: 0 0 1.5em 0;} +dt {font-weight: bold;} +dd {margin-left: 1.5em;} + +pre{background-color: rgb(238, 238, 238); padding: 10px; margin: 10px; overflow: auto;} + +/* Quotes */ +blockquote { + margin: 20px; + font-style: italic; +} +cite {} + +q {} + +div.note { + float: right; + margin: 5px; + font-size: 85%; + max-width: 300px; +} + +/* Tables */ +table {margin: .5em auto 1.5em auto; width: 98%;} + + /* Thead */ + thead th {padding: .5em .4em; text-align: left;} + thead td {} + + /* Tbody */ + tbody td {padding: .5em .4em;} + tbody th {} + + tbody .alt td {} + tbody .alt th {} + + /* Tfoot */ + tfoot th {} + tfoot td {} + +/* HTML5 tags */ +header, section, footer, +aside, nav, article, figure { + display: block; +} + +/***** Layout *****/ +.body {clear: both; margin: 0 auto; width: 800px;} +img.right, figure.right, div.figure.align-right { + float: right; + margin: 0 0 2em 2em; +} +img.left, figure.left, div.figure.align-left { + float: left; + margin: 0 2em 2em 0; +} + +/* .rst support */ +div.figure img, figure img { /* to fill figure exactly */ + width: 100%; +} +div.figure p.caption, figure p.caption { /* margin provided by figure */ + margin-top: 0; + margin-bottom: 0; +} + +/* + Header +*****************/ +#banner { + margin: 0 auto; + padding: 2.5em 0 0 0; +} + + /* Banner */ + #banner h1 {font-size: 3.571em; line-height: 0;} + #banner h1 a:link, #banner h1 a:visited { + color: #000305; + display: block; + font-weight: bold; + margin: 0 0 .6em .2em; + text-decoration: none; + } + #banner h1 a:hover, #banner h1 a:active { + background: none; + color: #C74350; + text-shadow: none; + } + + #banner h1 strong {font-size: 0.36em; font-weight: normal;} + + /* Main Nav */ + #banner nav { + background: #000305; + font-size: 1.143em; + height: 40px; + line-height: 30px; + margin: 0 auto 2em auto; + padding: 0; + text-align: center; + width: 800px; + + border-radius: 5px; + -moz-border-radius: 5px; + -webkit-border-radius: 5px; + } + + #banner nav ul {list-style: none; margin: 0 auto; width: 800px;} + #banner nav li {float: left; display: inline; margin: 0;} + + #banner nav a:link, #banner nav a:visited { + color: #fff; + display: inline-block; + height: 30px; + padding: 5px 1.5em; + text-decoration: none; + } + #banner nav a:hover, #banner nav a:active, + #banner nav .active a:link, #banner nav .active a:visited { + background: #C74451; + color: #fff; + text-shadow: none !important; + } + + #banner nav li:first-child a { + border-top-left-radius: 5px; + -moz-border-radius-topleft: 5px; + -webkit-border-top-left-radius: 5px; + + border-bottom-left-radius: 5px; + -moz-border-radius-bottomleft: 5px; + -webkit-border-bottom-left-radius: 5px; + } + +/* + Featured +*****************/ +#featured { + background: #fff; + margin-bottom: 2em; + overflow: hidden; + padding: 20px; + width: 760px; + + border-radius: 10px; + -moz-border-radius: 10px; + -webkit-border-radius: 10px; +} + +#featured figure { + border: 2px solid #eee; + float: right; + margin: 0.786em 2em 0 5em; + width: 248px; +} +#featured figure img {display: block; float: right;} + +#featured h2 {color: #C74451; font-size: 1.714em; margin-bottom: 0.333em;} +#featured h3 {font-size: 1.429em; margin-bottom: .5em;} + +#featured h3 a:link, #featured h3 a:visited {color: #000305; text-decoration: none;} +#featured h3 a:hover, #featured h3 a:active {color: #fff;} + +/* + Body +*****************/ +#content { + background: #fff; + margin-bottom: 2em; + overflow: hidden; + padding: 20px 20px; + width: 760px; + + border-radius: 10px; + -moz-border-radius: 10px; + -webkit-border-radius: 10px; +} + +/* + Extras +*****************/ +#extras {margin: 0 auto 3em auto; overflow: hidden;} + +#extras ul {list-style: none; margin: 0;} +#extras li {border-bottom: 1px solid #fff;} +#extras h2 { + color: #C74350; + font-size: 1.429em; + margin-bottom: .25em; + padding: 0 3px; +} + +#extras a:link, #extras a:visited { + color: #444; + display: block; + border-bottom: 1px solid #F4E3E3; + text-decoration: none; + padding: .3em .25em; +} + +#extras a:hover, #extras a:active {color: #fff;} + + /* Blogroll */ + #extras .blogroll { + float: left; + width: 615px; + } + + #extras .blogroll li {float: left; margin: 0 20px 0 0; width: 185px;} + + /* Social */ + #extras .social { + float: right; + width: 175px; + } + + #extras div[class='social'] a { + background-repeat: no-repeat; + background-position: 3px 6px; + padding-left: 25px; + } + + /* Icons */ + .social a[href*='about.me'] {background-image: url('../images/icons/aboutme.png');} + .social a[href*='bitbucket.org'] {background-image: url('../images/icons/bitbucket.png');} + .social a[href*='delicious.com'] {background-image: url('../images/icons/delicious.png');} + .social a[href*='digg.com'] {background-image: url('../images/icons/digg.png');} + .social a[href*='facebook.com'] {background-image: url('../images/icons/facebook.png');} + .social a[href*='gitorious.org'] {background-image: url('../images/icons/gitorious.png');} + .social a[href*='github.com'], + .social a[href*='git.io'] { + background-image: url('../images/icons/github.png'); + background-size: 16px 16px; + } + .social a[href*='gittip.com'] {background-image: url('../images/icons/gittip.png');} + .social a[href*='plus.google.com'] {background-image: url('../images/icons/google-plus.png');} + .social a[href*='groups.google.com'] {background-image: url('../images/icons/google-groups.png');} + .social a[href*='news.ycombinator.com'], + .social a[href*='hackernewsers.com'] {background-image: url('../images/icons/hackernews.png');} + .social a[href*='last.fm'], .social a[href*='lastfm.'] {background-image: url('../images/icons/lastfm.png');} + .social a[href*='linkedin.com'] {background-image: url('../images/icons/linkedin.png');} + .social a[href*='reddit.com'] {background-image: url('../images/icons/reddit.png');} + .social a[type$='atom+xml'], .social a[type$='rss+xml'] {background-image: url('../images/icons/rss.png');} + .social a[href*='slideshare.net'] {background-image: url('../images/icons/slideshare.png');} + .social a[href*='speakerdeck.com'] {background-image: url('../images/icons/speakerdeck.png');} + .social a[href*='stackoverflow.com'] {background-image: url('../images/icons/stackoverflow.png');} + .social a[href*='twitter.com'] {background-image: url('../images/icons/twitter.png');} + .social a[href*='vimeo.com'] {background-image: url('../images/icons/vimeo.png');} + .social a[href*='youtube.com'] {background-image: url('../images/icons/youtube.png');} + +/* + About +*****************/ +#about { + background: #fff; + font-style: normal; + margin-bottom: 2em; + overflow: hidden; + padding: 20px; + text-align: left; + width: 760px; + + border-radius: 10px; + -moz-border-radius: 10px; + -webkit-border-radius: 10px; +} + +#about .primary {float: left; width: 165px;} +#about .primary strong {color: #C64350; display: block; font-size: 1.286em;} +#about .photo {float: left; margin: 5px 20px;} + +#about .url:link, #about .url:visited {text-decoration: none;} + +#about .bio {float: right; width: 500px;} + +/* + Footer +*****************/ +#contentinfo {padding-bottom: 2em; text-align: right;} + +/***** Sections *****/ +/* Blog */ +.hentry { + display: block; + clear: both; + border-bottom: 1px solid #eee; + padding: 1.5em 0; +} +li:last-child .hentry, #content > .hentry {border: 0; margin: 0;} +#content > .hentry {padding: 1em 0;} +.hentry img{display : none ;} +.entry-title {font-size: 3em; margin-bottom: 10px; margin-top: 0;} +.entry-title a:link, .entry-title a:visited {text-decoration: none; color: #333;} +.entry-title a:visited {background-color: #fff;} + +.hentry .post-info * {font-style: normal;} + + /* Content */ + .hentry footer {margin-bottom: 2em;} + .hentry footer address {display: inline;} + #posts-list footer address {display: block;} + + /* Blog Index */ + #posts-list {list-style: none; margin: 0;} + #posts-list .hentry {padding-left: 10px; position: relative;} + + #posts-list footer { + left: 10px; + position: relative; + float: left; + top: 0.5em; + width: 190px; + } + + /* About the Author */ + #about-author { + background: #f9f9f9; + clear: both; + font-style: normal; + margin: 2em 0; + padding: 10px 20px 15px 20px; + + border-radius: 5px; + -moz-border-radius: 5px; + -webkit-border-radius: 5px; + } + + #about-author strong { + color: #C64350; + clear: both; + display: block; + font-size: 1.429em; + } + + #about-author .photo {border: 1px solid #ddd; float: left; margin: 5px 1em 0 0;} + + /* Comments */ + #comments-list {list-style: none; margin: 0 1em;} + #comments-list blockquote { + background: #f8f8f8; + clear: both; + font-style: normal; + margin: 0; + padding: 15px 20px; + + border-radius: 5px; + -moz-border-radius: 5px; + -webkit-border-radius: 5px; + } + #comments-list footer {color: #888; padding: .5em 1em 0 0; text-align: right;} + + #comments-list li:nth-child(2n) blockquote {background: #F5f5f5;} + + /* Add a Comment */ + #add-comment label {clear: left; float: left; text-align: left; width: 150px;} + #add-comment input[type='text'], + #add-comment input[type='email'], + #add-comment input[type='url'] {float: left; width: 200px;} + + #add-comment textarea {float: left; height: 150px; width: 495px;} + + #add-comment p.req {clear: both; margin: 0 .5em 1em 0; text-align: right;} + + #add-comment input[type='submit'] {float: right; margin: 0 .5em;} + #add-comment * {margin-bottom: .5em;} diff --git a/pelican_blog/output/theme/css/pygment.css b/pelican_blog/output/theme/css/pygment.css new file mode 100644 index 0000000..fdd056f --- /dev/null +++ b/pelican_blog/output/theme/css/pygment.css @@ -0,0 +1,205 @@ +.hll { +background-color:#eee; +} +.c { +color:#408090; +font-style:italic; +} +.err { +border:1px solid #FF0000; +} +.k { +color:#007020; +font-weight:bold; +} +.o { +color:#666666; +} +.cm { +color:#408090; +font-style:italic; +} +.cp { +color:#007020; +} +.c1 { +color:#408090; +font-style:italic; +} +.cs { +background-color:#FFF0F0; +color:#408090; +} +.gd { +color:#A00000; +} +.ge { +font-style:italic; +} +.gr { +color:#FF0000; +} +.gh { +color:#000080; +font-weight:bold; +} +.gi { +color:#00A000; +} +.go { +color:#303030; +} +.gp { +color:#C65D09; +font-weight:bold; +} +.gs { +font-weight:bold; +} +.gu { +color:#800080; +font-weight:bold; +} +.gt { +color:#0040D0; +} +.kc { +color:#007020; +font-weight:bold; +} +.kd { +color:#007020; +font-weight:bold; +} +.kn { +color:#007020; +font-weight:bold; +} +.kp { +color:#007020; +} +.kr { +color:#007020; +font-weight:bold; +} +.kt { +color:#902000; +} +.m { +color:#208050; +} +.s { +color:#4070A0; +} +.na { +color:#4070A0; +} +.nb { +color:#007020; +} +.nc { +color:#0E84B5; +font-weight:bold; +} +.no { +color:#60ADD5; +} +.nd { +color:#555555; +font-weight:bold; +} +.ni { +color:#D55537; +font-weight:bold; +} +.ne { +color:#007020; +} +.nf { +color:#06287E; +} +.nl { +color:#002070; +font-weight:bold; +} +.nn { +color:#0E84B5; +font-weight:bold; +} +.nt { +color:#062873; +font-weight:bold; +} +.nv { +color:#BB60D5; +} +.ow { +color:#007020; +font-weight:bold; +} +.w { +color:#BBBBBB; +} +.mf { +color:#208050; +} +.mh { +color:#208050; +} +.mi { +color:#208050; +} +.mo { +color:#208050; +} +.sb { +color:#4070A0; +} +.sc { +color:#4070A0; +} +.sd { +color:#4070A0; +font-style:italic; +} +.s2 { +color:#4070A0; +} +.se { +color:#4070A0; +font-weight:bold; +} +.sh { +color:#4070A0; +} +.si { +color:#70A0D0; +font-style:italic; +} +.sx { +color:#C65D09; +} +.sr { +color:#235388; +} +.s1 { +color:#4070A0; +} +.ss { +color:#517918; +} +.bp { +color:#007020; +} +.vc { +color:#BB60D5; +} +.vg { +color:#BB60D5; +} +.vi { +color:#BB60D5; +} +.il { +color:#208050; +} diff --git a/pelican_blog/output/theme/css/reset.css b/pelican_blog/output/theme/css/reset.css new file mode 100644 index 0000000..1e21756 --- /dev/null +++ b/pelican_blog/output/theme/css/reset.css @@ -0,0 +1,52 @@ +/* + Name: Reset Stylesheet + Description: Resets browser's default CSS + Author: Eric Meyer + Author URI: http://meyerweb.com/eric/tools/css/reset/ +*/ + +/* v1.0 | 20080212 */ +html, body, div, span, applet, object, iframe, +h1, h2, h3, h4, h5, h6, p, blockquote, pre, +a, abbr, acronym, address, big, cite, code, +del, dfn, em, font, img, ins, kbd, q, s, samp, +small, strike, strong, sub, sup, tt, var, +b, u, i, center, +dl, dt, dd, ol, ul, li, +fieldset, form, label, legend, +table, caption, tbody, tfoot, thead, tr, th, td { + background: transparent; + border: 0; + font-size: 100%; + margin: 0; + outline: 0; + padding: 0; + vertical-align: baseline; +} + +body {line-height: 1;} + +ol, ul {list-style: none;} + +blockquote, q {quotes: none;} + +blockquote:before, blockquote:after, +q:before, q:after { + content: ''; + content: none; +} + +/* remember to define focus styles! */ +:focus { + outline: 0; +} + +/* remember to highlight inserts somehow! */ +ins {text-decoration: none;} +del {text-decoration: line-through;} + +/* tables still need 'cellspacing="0"' in the markup */ +table { + border-collapse: collapse; + border-spacing: 0; +} \ No newline at end of file diff --git a/pelican_blog/output/theme/css/typogrify.css b/pelican_blog/output/theme/css/typogrify.css new file mode 100644 index 0000000..3bae497 --- /dev/null +++ b/pelican_blog/output/theme/css/typogrify.css @@ -0,0 +1,3 @@ +.caps {font-size:.92em;} +.amp {color:#666; font-size:1.05em;font-family:"Warnock Pro", "Goudy Old Style","Palatino","Book Antiqua",serif; font-style:italic;} +.dquo {margin-left:-.38em;} diff --git a/pelican_blog/output/theme/css/wide.css b/pelican_blog/output/theme/css/wide.css new file mode 100644 index 0000000..88fd59c --- /dev/null +++ b/pelican_blog/output/theme/css/wide.css @@ -0,0 +1,48 @@ +@import url("main.css"); + +body { + font:1.3em/1.3 "Hoefler Text","Georgia",Georgia,serif,sans-serif; +} + +.post-info{ + display: none; +} + +#banner nav { + display: none; + -moz-border-radius: 0px; + margin-bottom: 20px; + overflow: hidden; + font-size: 1em; + background: #F5F4EF; +} + +#banner nav ul{ + padding-right: 50px; +} + +#banner nav li{ + float: right; + color: #000; +} + +#banner nav li a { + color: #000; +} + +#banner h1 { + margin-bottom: -18px; +} + +#featured, #extras { + padding: 50px; +} + +#featured { + padding-top: 20px; +} + +#extras { + padding-top: 0px; + padding-bottom: 0px; +} diff --git a/pelican_blog/output/theme/dark-theme/dark-theme.js b/pelican_blog/output/theme/dark-theme/dark-theme.js new file mode 100644 index 0000000..0b0162e --- /dev/null +++ b/pelican_blog/output/theme/dark-theme/dark-theme.js @@ -0,0 +1,58 @@ +function ThemeManager(options) { + var defaultTheme = options.defaultTheme; + var enableAutoDetectTheme = options.enableAutoDetectTheme.toLowerCase() === 'true'; + + var darkThemeMatch = window.matchMedia( + defaultTheme === 'light' ? + '(prefers-color-scheme: dark)' : + '(prefers-color-scheme: dark), (prefers-color-scheme: no-preference)' + ); + + function setEnabledAndDisableMediaQuery(elementId, enabled) { + var element = document.getElementById(elementId); + element.disabled = !enabled; + element.media = ''; + } + + function detectThemeAndSwitchStyle() { + var theme = localStorage.getItem('themeOverride'); + if (theme !== 'light' && theme !== 'dark') { + if (theme === 'browser' || enableAutoDetectTheme) { + theme = darkThemeMatch.matches ? 'dark' : 'light'; + } else { + theme = defaultTheme; + } + } + + // (Dis|En)able the styles according to the user's desired theme. Get rid + // of the media queries, since we are handling it in JS. + setEnabledAndDisableMediaQuery('dark-theme-style', theme === 'dark'); + setEnabledAndDisableMediaQuery('pygments-dark-theme', theme === 'dark'); + setEnabledAndDisableMediaQuery('pygments-light-theme', theme === 'light'); + + if (theme === 'dark') { + document.body.classList.add('dark-theme'); + document.body.classList.remove('light-theme'); + } else { + document.body.classList.add('light-theme'); + document.body.classList.remove('dark-theme'); + } + } + + this.switch = function(themeOverride) { + localStorage.setItem('themeOverride', themeOverride); + detectThemeAndSwitchStyle(); + }; + + // If there's an override, then apply it, otherwise, don't incur the + // overhead of determining whether or not to switch themes. + var themeOverride = localStorage.getItem('themeOverride'); + if (themeOverride === 'light' || themeOverride === 'dark') { + detectThemeAndSwitchStyle(); + } + + // If theme auto-detection is enabled, then add a listenr on the matchMedia. + darkThemeMatch.addListener(detectThemeAndSwitchStyle); +} + +window.theme = new ThemeManager(document.getElementById('dark-theme-script').dataset); diff --git a/pelican_blog/output/theme/dark-theme/dark-theme.min.js b/pelican_blog/output/theme/dark-theme/dark-theme.min.js new file mode 100644 index 0000000..7433dd5 --- /dev/null +++ b/pelican_blog/output/theme/dark-theme/dark-theme.min.js @@ -0,0 +1 @@ +function ThemeManager(e){var t=e.defaultTheme,r="true"===e.enableAutoDetectTheme.toLowerCase(),a=window.matchMedia("light"===t?"(prefers-color-scheme: dark)":"(prefers-color-scheme: dark), (prefers-color-scheme: no-preference)");function d(e,t){var r=document.getElementById(e);r.disabled=!t,r.media=""}function m(){var e=localStorage.getItem("themeOverride");"light"!==e&&"dark"!==e&&(e="browser"===e||r?a.matches?"dark":"light":t),d("dark-theme-style","dark"===e),d("pygments-dark-theme","dark"===e),d("pygments-light-theme","light"===e),"dark"===e?(document.body.classList.add("dark-theme"),document.body.classList.remove("light-theme")):(document.body.classList.add("light-theme"),document.body.classList.remove("dark-theme"))}this.switch=function(e){localStorage.setItem("themeOverride",e),m()};var o=localStorage.getItem("themeOverride");"light"!==o&&"dark"!==o||m(),a.addListener(m)}window.theme=new ThemeManager(document.getElementById("dark-theme-script").dataset); \ No newline at end of file diff --git a/pelican_blog/output/theme/font-awesome/css/brands.css b/pelican_blog/output/theme/font-awesome/css/brands.css new file mode 100644 index 0000000..ed4b739 --- /dev/null +++ b/pelican_blog/output/theme/font-awesome/css/brands.css @@ -0,0 +1,15 @@ +/*! + * Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + */ +@font-face { + font-family: 'Font Awesome 5 Brands'; + font-style: normal; + font-weight: 400; + font-display: block; + src: url("../webfonts/fa-brands-400.eot"); + src: url("../webfonts/fa-brands-400.eot?#iefix") format("embedded-opentype"), url("../webfonts/fa-brands-400.woff2") format("woff2"), url("../webfonts/fa-brands-400.woff") format("woff"), url("../webfonts/fa-brands-400.ttf") format("truetype"), url("../webfonts/fa-brands-400.svg#fontawesome") format("svg"); } + +.fab { + font-family: 'Font Awesome 5 Brands'; + font-weight: 400; } diff --git a/pelican_blog/output/theme/font-awesome/css/fontawesome.css b/pelican_blog/output/theme/font-awesome/css/fontawesome.css new file mode 100644 index 0000000..c73d7c0 --- /dev/null +++ b/pelican_blog/output/theme/font-awesome/css/fontawesome.css @@ -0,0 +1,4522 @@ +/*! + * Font Awesome Free 5.13.0 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + */ +.fa, +.fas, +.far, +.fal, +.fad, +.fab { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; } + +.fa-lg { + font-size: 1.33333em; + line-height: 0.75em; + vertical-align: -.0667em; } + +.fa-xs { + font-size: .75em; } + +.fa-sm { + font-size: .875em; } + +.fa-1x { + font-size: 1em; } + +.fa-2x { + font-size: 2em; } + +.fa-3x { + font-size: 3em; } + +.fa-4x { + font-size: 4em; } + +.fa-5x { + font-size: 5em; } + +.fa-6x { + font-size: 6em; } + +.fa-7x { + font-size: 7em; } + +.fa-8x { + font-size: 8em; } + +.fa-9x { + font-size: 9em; } + +.fa-10x { + font-size: 10em; } + +.fa-fw { + text-align: center; + width: 1.25em; } + +.fa-ul { + list-style-type: none; + margin-left: 2.5em; + padding-left: 0; } + .fa-ul > li { + position: relative; } + +.fa-li { + left: -2em; + position: absolute; + text-align: center; + width: 2em; + line-height: inherit; } + +.fa-border { + border: solid 0.08em #eee; + border-radius: .1em; + padding: .2em .25em .15em; } + +.fa-pull-left { + float: left; } + +.fa-pull-right { + float: right; } + +.fa.fa-pull-left, +.fas.fa-pull-left, +.far.fa-pull-left, +.fal.fa-pull-left, +.fab.fa-pull-left { + margin-right: .3em; } + +.fa.fa-pull-right, +.fas.fa-pull-right, +.far.fa-pull-right, +.fal.fa-pull-right, +.fab.fa-pull-right { + margin-left: .3em; } + +.fa-spin { + -webkit-animation: fa-spin 2s infinite linear; + animation: fa-spin 2s infinite linear; } + +.fa-pulse { + -webkit-animation: fa-spin 1s infinite steps(8); + animation: fa-spin 1s infinite steps(8); } + +@-webkit-keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +@keyframes fa-spin { + 0% { + -webkit-transform: rotate(0deg); + transform: rotate(0deg); } + 100% { + -webkit-transform: rotate(360deg); + transform: rotate(360deg); } } + +.fa-rotate-90 { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)"; + -webkit-transform: rotate(90deg); + transform: rotate(90deg); } + +.fa-rotate-180 { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)"; + -webkit-transform: rotate(180deg); + transform: rotate(180deg); } + +.fa-rotate-270 { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)"; + -webkit-transform: rotate(270deg); + transform: rotate(270deg); } + +.fa-flip-horizontal { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)"; + -webkit-transform: scale(-1, 1); + transform: scale(-1, 1); } + +.fa-flip-vertical { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)"; + -webkit-transform: scale(1, -1); + transform: scale(1, -1); } + +.fa-flip-both, .fa-flip-horizontal.fa-flip-vertical { + -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)"; + -webkit-transform: scale(-1, -1); + transform: scale(-1, -1); } + +:root .fa-rotate-90, +:root .fa-rotate-180, +:root .fa-rotate-270, +:root .fa-flip-horizontal, +:root .fa-flip-vertical, +:root .fa-flip-both { + -webkit-filter: none; + filter: none; } + +.fa-stack { + display: inline-block; + height: 2em; + line-height: 2em; + position: relative; + vertical-align: middle; + width: 2.5em; } + +.fa-stack-1x, +.fa-stack-2x { + left: 0; + position: absolute; + text-align: center; + width: 100%; } + +.fa-stack-1x { + line-height: inherit; } + +.fa-stack-2x { + font-size: 2em; } + +.fa-inverse { + color: #fff; } + +/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen +readers do not read off random characters that represent icons */ +.fa-500px:before { + content: "\f26e"; } + +.fa-accessible-icon:before { + content: "\f368"; } + +.fa-accusoft:before { + content: "\f369"; } + +.fa-acquisitions-incorporated:before { + content: "\f6af"; } + +.fa-ad:before { + content: "\f641"; } + +.fa-address-book:before { + content: "\f2b9"; } + +.fa-address-card:before { + content: "\f2bb"; } + +.fa-adjust:before { + content: "\f042"; } + +.fa-adn:before { + content: "\f170"; } + +.fa-adobe:before { + content: "\f778"; } + +.fa-adversal:before { + content: "\f36a"; } + +.fa-affiliatetheme:before { + content: "\f36b"; } + +.fa-air-freshener:before { + content: "\f5d0"; } + +.fa-airbnb:before { + content: "\f834"; } + +.fa-algolia:before { + content: "\f36c"; } + +.fa-align-center:before { + content: "\f037"; } + +.fa-align-justify:before { + content: "\f039"; } + +.fa-align-left:before { + content: "\f036"; } + +.fa-align-right:before { + content: "\f038"; } + +.fa-alipay:before { + content: "\f642"; } + +.fa-allergies:before { + content: "\f461"; } + +.fa-amazon:before { + content: "\f270"; } + +.fa-amazon-pay:before { + content: "\f42c"; } + +.fa-ambulance:before { + content: "\f0f9"; } + +.fa-american-sign-language-interpreting:before { + content: "\f2a3"; } + +.fa-amilia:before { + content: "\f36d"; } + +.fa-anchor:before { + content: "\f13d"; } + +.fa-android:before { + content: "\f17b"; } + +.fa-angellist:before { + content: "\f209"; } + +.fa-angle-double-down:before { + content: "\f103"; } + +.fa-angle-double-left:before { + content: "\f100"; } + +.fa-angle-double-right:before { + content: "\f101"; } + +.fa-angle-double-up:before { + content: "\f102"; } + +.fa-angle-down:before { + content: "\f107"; } + +.fa-angle-left:before { + content: "\f104"; } + +.fa-angle-right:before { + content: "\f105"; } + +.fa-angle-up:before { + content: "\f106"; } + +.fa-angry:before { + content: "\f556"; } + +.fa-angrycreative:before { + content: "\f36e"; } + +.fa-angular:before { + content: "\f420"; } + +.fa-ankh:before { + content: "\f644"; } + +.fa-app-store:before { + content: "\f36f"; } + +.fa-app-store-ios:before { + content: "\f370"; } + +.fa-apper:before { + content: "\f371"; } + +.fa-apple:before { + content: "\f179"; } + +.fa-apple-alt:before { + content: "\f5d1"; } + +.fa-apple-pay:before { + content: "\f415"; } + +.fa-archive:before { + content: "\f187"; } + +.fa-archway:before { + content: "\f557"; } + +.fa-arrow-alt-circle-down:before { + content: "\f358"; } + +.fa-arrow-alt-circle-left:before { + content: "\f359"; } + +.fa-arrow-alt-circle-right:before { + content: "\f35a"; } + +.fa-arrow-alt-circle-up:before { + content: "\f35b"; } + +.fa-arrow-circle-down:before { + content: "\f0ab"; } + +.fa-arrow-circle-left:before { + content: "\f0a8"; } + +.fa-arrow-circle-right:before { + content: "\f0a9"; } + +.fa-arrow-circle-up:before { + content: "\f0aa"; } + +.fa-arrow-down:before { + content: "\f063"; } + +.fa-arrow-left:before { + content: "\f060"; } + +.fa-arrow-right:before { + content: "\f061"; } + +.fa-arrow-up:before { + content: "\f062"; } + +.fa-arrows-alt:before { + content: "\f0b2"; } + +.fa-arrows-alt-h:before { + content: "\f337"; } + +.fa-arrows-alt-v:before { + content: "\f338"; } + +.fa-artstation:before { + content: "\f77a"; } + +.fa-assistive-listening-systems:before { + content: "\f2a2"; } + +.fa-asterisk:before { + content: "\f069"; } + +.fa-asymmetrik:before { + content: "\f372"; } + +.fa-at:before { + content: "\f1fa"; } + +.fa-atlas:before { + content: "\f558"; } + +.fa-atlassian:before { + content: "\f77b"; } + +.fa-atom:before { + content: "\f5d2"; } + +.fa-audible:before { + content: "\f373"; } + +.fa-audio-description:before { + content: "\f29e"; } + +.fa-autoprefixer:before { + content: "\f41c"; } + +.fa-avianex:before { + content: "\f374"; } + +.fa-aviato:before { + content: "\f421"; } + +.fa-award:before { + content: "\f559"; } + +.fa-aws:before { + content: "\f375"; } + +.fa-baby:before { + content: "\f77c"; } + +.fa-baby-carriage:before { + content: "\f77d"; } + +.fa-backspace:before { + content: "\f55a"; } + +.fa-backward:before { + content: "\f04a"; } + +.fa-bacon:before { + content: "\f7e5"; } + +.fa-bahai:before { + content: "\f666"; } + +.fa-balance-scale:before { + content: "\f24e"; } + +.fa-balance-scale-left:before { + content: "\f515"; } + +.fa-balance-scale-right:before { + content: "\f516"; } + +.fa-ban:before { + content: "\f05e"; } + +.fa-band-aid:before { + content: "\f462"; } + +.fa-bandcamp:before { + content: "\f2d5"; } + +.fa-barcode:before { + content: "\f02a"; } + +.fa-bars:before { + content: "\f0c9"; } + +.fa-baseball-ball:before { + content: "\f433"; } + +.fa-basketball-ball:before { + content: "\f434"; } + +.fa-bath:before { + content: "\f2cd"; } + +.fa-battery-empty:before { + content: "\f244"; } + +.fa-battery-full:before { + content: "\f240"; } + +.fa-battery-half:before { + content: "\f242"; } + +.fa-battery-quarter:before { + content: "\f243"; } + +.fa-battery-three-quarters:before { + content: "\f241"; } + +.fa-battle-net:before { + content: "\f835"; } + +.fa-bed:before { + content: "\f236"; } + +.fa-beer:before { + content: "\f0fc"; } + +.fa-behance:before { + content: "\f1b4"; } + +.fa-behance-square:before { + content: "\f1b5"; } + +.fa-bell:before { + content: "\f0f3"; } + +.fa-bell-slash:before { + content: "\f1f6"; } + +.fa-bezier-curve:before { + content: "\f55b"; } + +.fa-bible:before { + content: "\f647"; } + +.fa-bicycle:before { + content: "\f206"; } + +.fa-biking:before { + content: "\f84a"; } + +.fa-bimobject:before { + content: "\f378"; } + +.fa-binoculars:before { + content: "\f1e5"; } + +.fa-biohazard:before { + content: "\f780"; } + +.fa-birthday-cake:before { + content: "\f1fd"; } + +.fa-bitbucket:before { + content: "\f171"; } + +.fa-bitcoin:before { + content: "\f379"; } + +.fa-bity:before { + content: "\f37a"; } + +.fa-black-tie:before { + content: "\f27e"; } + +.fa-blackberry:before { + content: "\f37b"; } + +.fa-blender:before { + content: "\f517"; } + +.fa-blender-phone:before { + content: "\f6b6"; } + +.fa-blind:before { + content: "\f29d"; } + +.fa-blog:before { + content: "\f781"; } + +.fa-blogger:before { + content: "\f37c"; } + +.fa-blogger-b:before { + content: "\f37d"; } + +.fa-bluetooth:before { + content: "\f293"; } + +.fa-bluetooth-b:before { + content: "\f294"; } + +.fa-bold:before { + content: "\f032"; } + +.fa-bolt:before { + content: "\f0e7"; } + +.fa-bomb:before { + content: "\f1e2"; } + +.fa-bone:before { + content: "\f5d7"; } + +.fa-bong:before { + content: "\f55c"; } + +.fa-book:before { + content: "\f02d"; } + +.fa-book-dead:before { + content: "\f6b7"; } + +.fa-book-medical:before { + content: "\f7e6"; } + +.fa-book-open:before { + content: "\f518"; } + +.fa-book-reader:before { + content: "\f5da"; } + +.fa-bookmark:before { + content: "\f02e"; } + +.fa-bootstrap:before { + content: "\f836"; } + +.fa-border-all:before { + content: "\f84c"; } + +.fa-border-none:before { + content: "\f850"; } + +.fa-border-style:before { + content: "\f853"; } + +.fa-bowling-ball:before { + content: "\f436"; } + +.fa-box:before { + content: "\f466"; } + +.fa-box-open:before { + content: "\f49e"; } + +.fa-box-tissue:before { + content: "\f95b"; } + +.fa-boxes:before { + content: "\f468"; } + +.fa-braille:before { + content: "\f2a1"; } + +.fa-brain:before { + content: "\f5dc"; } + +.fa-bread-slice:before { + content: "\f7ec"; } + +.fa-briefcase:before { + content: "\f0b1"; } + +.fa-briefcase-medical:before { + content: "\f469"; } + +.fa-broadcast-tower:before { + content: "\f519"; } + +.fa-broom:before { + content: "\f51a"; } + +.fa-brush:before { + content: "\f55d"; } + +.fa-btc:before { + content: "\f15a"; } + +.fa-buffer:before { + content: "\f837"; } + +.fa-bug:before { + content: "\f188"; } + +.fa-building:before { + content: "\f1ad"; } + +.fa-bullhorn:before { + content: "\f0a1"; } + +.fa-bullseye:before { + content: "\f140"; } + +.fa-burn:before { + content: "\f46a"; } + +.fa-buromobelexperte:before { + content: "\f37f"; } + 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padding-left: calc(7% + 20px);\n}\n.isso-comment > div.text-wrapper > .isso-comment-header, .isso-comment > div.text-wrapper > .isso-comment-footer {\n font-size: 0.95em;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header {\n font-size: 0.85em;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header .spacer {\n padding: 0 6px;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header .spacer,\n.isso-comment > div.text-wrapper > .isso-comment-header a.permalink,\n.isso-comment > div.text-wrapper > .isso-comment-header .note,\n.isso-comment > div.text-wrapper > .isso-comment-header a.parent {\n color: gray !important;\n font-weight: normal;\n text-shadow: none !important;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header .spacer:hover,\n.isso-comment > div.text-wrapper > .isso-comment-header a.permalink:hover,\n.isso-comment > div.text-wrapper > .isso-comment-header .note:hover,\n.isso-comment > div.text-wrapper > .isso-comment-header a.parent:hover {\n color: #606060 !important;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header .note {\n float: right;\n}\n.isso-comment > div.text-wrapper > .isso-comment-header .author {\n font-weight: bold;\n color: #555;\n}\n.isso-comment > div.text-wrapper > .textarea-wrapper .textarea,\n.isso-comment > div.text-wrapper > .textarea-wrapper .preview {\n margin-top: 0.2em;\n}\n.isso-comment > div.text-wrapper > div.text p {\n margin-top: 0.2em;\n}\n.isso-comment > div.text-wrapper > div.text p:last-child {\n margin-bottom: 0.2em;\n}\n.isso-comment > div.text-wrapper > div.text h1,\n.isso-comment > div.text-wrapper > div.text h2,\n.isso-comment > div.text-wrapper > div.text h3,\n.isso-comment > div.text-wrapper > div.text h4,\n.isso-comment > div.text-wrapper > div.text h5,\n.isso-comment > div.text-wrapper > div.text h6 {\n font-size: 130%;\n font-weight: bold;\n}\n.isso-comment > div.text-wrapper > div.textarea-wrapper .textarea,\n.isso-comment > div.text-wrapper > div.textarea-wrapper .preview {\n width: 100%;\n border: 1px solid #f0f0f0;\n border-radius: 2px;\n box-shadow: 0 0 2px #888;\n}\n.isso-comment > div.text-wrapper > .isso-comment-footer {\n font-size: 0.80em;\n color: gray !important;\n clear: left;\n}\n.isso-feedlink,\n.isso-comment > div.text-wrapper > .isso-comment-footer a {\n font-weight: bold;\n text-decoration: none;\n}\n.isso-feedlink:hover,\n.isso-comment > div.text-wrapper > .isso-comment-footer a:hover {\n color: #111111 !important;\n text-shadow: #aaaaaa 0 0 1px !important;\n}\n.isso-comment > div.text-wrapper > .isso-comment-footer > a {\n position: relative;\n top: .2em;\n}\n.isso-comment > div.text-wrapper > .isso-comment-footer > a + a {\n padding-left: 1em;\n}\n.isso-comment > div.text-wrapper > .isso-comment-footer .votes {\n color: gray;\n}\n.isso-comment > div.text-wrapper > .isso-comment-footer .upvote svg,\n.isso-comment > div.text-wrapper > .isso-comment-footer .downvote svg {\n position: relative;\n top: .2em;\n}\n.isso-comment .isso-postbox 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@light-grey; + } + + >h4 { + color: @light-grey; + } + + .isso-postbox > .form-wrapper .preview { + background: repeating-linear-gradient( + -45deg, + @solid-dark-grey, @solid-dark-grey 10px, + @very-dark-grey 10px, @very-dark-grey 20px + ); + } + + .isso-comment > div.text-wrapper { + > .isso-comment-header { + .author { + color: @light-grey; + } + + .spacer, a.permalink, .note, a.parent { + color: @med-grey; + + &:hover { + color: @light-grey; + } + } + } + + > .isso-comment-footer a:hover { + // Unfortunately, Isso uses a lot of !important in its styles, so I + // have to override that. + text-shadow: @dark-grey 0 0 1px !important; + } + } + } + } + + footer { + border-top-color: @footer-border-color-dark-theme; + } +} + +div.related-posts { + border-color: @rel-post-border-color-dark-theme; +} + +// Admonition +div.admonition { + color: @admonition-generic-color-dark-theme; + background-color: @admonition-generic-bg-color-dark-theme; +} + +div.admonition.attention { + color: 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footer{border-top-color:#222}div.related-posts{border-color:#222}div.admonition{color:#eee;background-color:#404040}div.admonition.attention,div.admonition.caution{color:#fbda7a;background-color:#4a3900}div.admonition.danger,div.admonition.error{color:#ebadb3;background-color:#28070a}div.admonition.hint{color:#7abaff;background-color:#001933}div.admonition.important,div.admonition.note{color:#a8eab7;background-color:#122b18}div.admonition.tip{color:#7abaff;background-color:#001933}div.admonition.warning{color:#fbda7a;background-color:#4a3900}div.figure{color:#bfbfbf} \ No newline at end of file diff --git a/pelican_blog/output/theme/stylesheet/style.less b/pelican_blog/output/theme/stylesheet/style.less new file mode 100644 index 0000000..033ad23 --- /dev/null +++ b/pelican_blog/output/theme/stylesheet/style.less @@ -0,0 +1,737 @@ +@import "variables.less"; + +html, body { + width: 100%; + height: 100%; +} + +h1, +h2, +h3, +h4, +h5, +h6 { + font-weight: 300; + line-height: 1.1; +} + +h1{ + font-size: 2.4em +} + +h2 { + font-size: 2em +} + +h3 { + font-size: 1.6em +} + +h4 { + font-size: 1.36em +} + +h5 { + font-size: 1.2em +} + +h6 { + font-size: 1.1em +} + +body { + margin: 0; + padding: 0; + background-color: @body-bg; + color: @text-color; + font-family: @sans; + font-size: 1.02em; + line-height: 1.2em; +} + +a { + color: @link-color; + text-decoration: none; +} + +a:hover { + color: @link-hover-color; +} + +hr { + color: @light-grey; + background-color: @light-grey; + height: 1px; + border: none; + margin-top: 40px; + margin-bottom: 40px; +} + +img { + max-width: 100%; +} + +aside { + background-color: @sidebar-bg; + color: @sidebar-text-color; + text-align: center; + + a { + color: @sidebar-link-color; + } + + a:hover { + color: @sidebar-link-hover-color; + } + + div { + padding: 20px; + margin: 0; + + img { + border-radius: 50%; + max-width: 140px; + } + + h1 { + margin: 15px 0 5px 0; + } + + p { + margin: 0 0 15px 0; + font-size: .92em; + } + } + + nav { + ul { + li { + display: inline; + line-height: 1.6em; + font-size: 1.28em; + text-transform: lowercase; + } + } + } +} + +main { + nav { + text-align: center; + text-transform: uppercase; + padding: 14px 0 14px 0; + border-bottom: @nav-border-color 1px solid; + + // Need to use font-size of 0 so that whitespace between the tags + // doesn't have an affect on alignment. + font-size: 0; + } + + nav, .translations { + a { + font-size: 12px; + padding: 0 4px; + border-right: @nav-border-color 1px solid; + } + + :last-child { + border-right: none; + } + } + + .neighbors { + margin: 4% 0% 4% 0%; + height: 20px; + } + + .pagination { + margin: 4% 8% 4% 8%; + height: 20px; + } + + .social-share { + p { + font-size: .8em; + } + } + + article { + margin: 0 8% 2% 8%; + + header { + h1, h2 { + margin-bottom: 0; + } + + p { + color: @header-text-color; + font-size: 0.86em; + } + + .translations { + float: right; + + .active { + font-weight: 600; + } + } + } + + code, kbd, samp, pre { + font-family: @mono; + } + + blockquote, pre { + background-color: rgba(128,128,128,0.05); + border-top-right-radius: 5px; + border-bottom-right-radius: 5px; + border-left: 8px solid rgba(128,128,128,0.075); + border-left-width: 10px; + } + + blockquote { + padding: 10px 20px; + font-weight: 300; + font-size: 1.1em; + } + + pre { + padding: 4px; + font-size: .9em; + overflow-x: auto; + } + + samp { + white-space: pre; + display: block; + overflow-x: auto; + } + + kbd { + padding: .1em .6em; + border: 1px solid rgba(63,63,63,0.25); + box-shadow: 0 1px 0 rgba(63,63,63,0.25); + background-color: #fff; + color: #333; + border-radius: 3px; + display: inline-block; + margin: 0 .1em; + white-space: nowrap; + font-size: .78em; + } + + *:not(pre) > code { + font-size: .8em; + white-space: nowrap; + color: #c25; + padding: 1px 3px; + background-color: #f7f7f9; + border: 1px solid #e1e1e8; + border-radius: 3px; + } + + .comment-count { + font-size: .8em; + } + + table { + border-collapse: collapse; + border-spacing: 0; + + thead:first-child tr:first-child th { + border-top: 0; + } + + th, td { + padding: 8px; + line-height: 20px; + vertical-align: top; + border-top: 1px solid #ddd; + } + } + + table.highlighttable { + width: 100%; + table-layout: fixed; + + td { + border-style: none; + padding: 0px; + } + + td.linenos { + width: 2.5em; + + pre { + padding-right: .8em; + background-color: inherit; + text-align: right; + } + } + } + + // Add a bit of padding between each of the entry boxes in the Isso auth + // section. By default, they are squished together, which looks terrible. + section#isso-thread .auth-section .input-wrapper { + margin-right: 5px; + } + } + + footer { + padding-top: 4px; + border-top: @footer-border-color 1px solid; + + p { + margin: 2px; + text-align: center; + padding: 0 40px 0 40px; + color: @footer-text-color; + font-size: 11px; + } + + // Flex credits and theme selection separator + span.footer-separator { + margin: 0 6px; + } + } +} + +.tag-cloud { + a { + background-color: @tag-bg; + padding: .2em .6em .2em; + font-size: .74em; + line-height: 1; + color: @tag-text-color; + text-align: center; + white-space: nowrap; + vertical-align: baseline; + border-radius: .25em; + } + + a:hover { + background-color: @tag-hover-color; + } +} + +a.btn, +section#isso-thread section.auth-section p.post-action input { + background-color: @btn-bg; + padding: .6em .6em; + font-size: .8em; + line-height: 1; + color: @btn-text-color; + text-align: center; + white-space: nowrap; + vertical-align: baseline; + border: none; + border-radius: .25em; +} + +a.btn:hover { + background-color: @btn-hover-color; +} + +.center, .text-center { + text-align: center; +} + +.img-center { + margin-left: auto; + margin-right: auto; + display: block; +} + +.align-center { + margin-left: auto; + margin-right: auto; + display: block; +} + +.float-left { + float: left; +} + +.float-right { + float: right; +} + +div.related-posts { + margin: 15px 0 15px 0; + padding-bottom: 20px; + border-top: @rel-post-border-color 1px solid; + border-bottom: @rel-post-border-color 1px solid; + + h4 { + margin: 20px 0 25px 0; + } + + ul { + font-size: 1.1em; + padding-left: 12px; + + li { + padding: 4px 0 4px 0; + } + } +} + +ul.list, ul.social, ul.related-posts { + list-style-type: none; + margin: 0; + padding: 0; +} + +ul.list { + padding: 1em 0 1em 0; + + li { + padding: 4px; + } +} + +ul.social { + font-size: 1.6em; + padding-top: 20px; + + li { + display: inline; + } + + a:hover { + z-index: 2; + -webkit-transform: translateY(-2px); + transform: translateY(-2px); + } + + a { + display: inline-block; + width: 36px; + height: 36px; + border-radius: 100%; + text-align: center; + font-size: .8em; + line-height: 36px; + } + + a.sc-facebook { + background-color: @facebook-bg-color; + } + + a.sc-google { + background-color: @google-bg-color; + } + + a.sc-instagram { + background-color: @instagram-bg-color; + } + + a.sc-keybase { + background-color: @keybase-bg-color; + } + + a.sc-pinterest { + background-color: @pinterest-bg-color; + } + + a.sc-linkedin { + background-color: @linkedin-bg-color; + } + + a.sc-medium { + background-color: @medium-bg-color; + } + + a.sc-rss { + background-color: @rss-bg-color; + } + + a.sc-stack-overflow { + background-color: @stack-overflow-bg-color; + } + + a.sc-tumblr { + background-color: @tumblr-bg-color; + } + + a.sc-twitch { + background-color: @twitch-bg-color; + } + + a.sc-twitter { + background-color: @twitter-bg-color; + } + + a.sc-youtube { + background-color: @youtube-bg-color; + } + + a.sc-github, a.sc-github-alt { + background-color: @github-bg-color; + } + + a.sc-envelope { + background-color: @email-bg-color; + } + + a.sc-reddit { + background-color: @reddit-bg-color; + } + + a.sc-soundcloud { + background-color: @soundcloud-bg-color; + } + + a.sc-gitlab { + background-color: @gitlab-bg-color; + } + + a.sc-xing { + background-color: @xing-bg-color; + } + + a.sc-bitbucket { + background-color: @bitbucket-bg-color; + } + + a.sc-mastodon { + background-color: @mastodon-bg-color; + } + + a.sc-diaspora { + color: @diaspora-color; + background-color: @diaspora-bg-color; + } + + a.sc-flickr { + background-color: @flickr-bg-color; + } + + a.sc-lastfm { + background-color: @lastfm-bg-color; + } +} + +.ads-aside { + display: inline-block; + height: 90px; + width: 70%; +} + +.ads-responsive { + display: inline-block; + margin: 6px 0 6px 0; + width: 90%; + height: 70px; + margin-left: 5%; +} + +// +// Desktop +// + +@media screen and (min-width: 768px) { + aside { + width: 25vw; + height: 100vh; + position: fixed; + top: 0; + left: 0; + overflow-y: auto; + + div { + padding: 36px 18px; + + nav { + ul { + li { + padding: 0 !important; + display: block; + } + } + } + + ul.social { + padding-top: 32px; + } + } + } + + main { + width: 75vw; + height: 100vh; + position: absolute; + top: 0; + left: 25vw; + overflow-x: hidden; + + article { + + &.single { + min-height: 80vh; + } + + ul.list { + li { + padding: 2px; + } + } + } + } + + .ads-aside { + height: 250px; + } + + .ads-responsive { + height: 90px; + } +} + +// Admonition +div.admonition { + margin-bottom: 2.5rem; + border-radius: 4px; + padding: 0.5em 1.25em 1.25em 1.25em; + + p.admonition-title::before { + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + font-family: "Font Awesome 5 Free"; + } + + p.admonition-title { + font-weight: 600; + line-height: 1.25em; + margin-bottom: 1.25em; + margin-top: inherit; + } + + p, div, pre { + margin-bottom: 0; + } +} + +div.admonition { + color: @admonition-generic-color; + background-color: @admonition-generic-bg-color; +} + +div.admonition.attention { + p.admonition-title::before { + content: @admonition-attention-icon; + } + + color: @admonition-attention-color; + background-color: @admonition-attention-bg-color; +} + +div.admonition.caution { + p.admonition-title::before { + content: @admonition-caution-icon; + } + + color: @admonition-caution-color; + background-color: @admonition-caution-bg-color; +} + +div.admonition.danger { + p.admonition-title::before { + content: @admonition-danger-icon; + } + + color: @admonition-danger-color; + background-color: @admonition-danger-bg-color; +} + +div.admonition.error { + p.admonition-title::before { + content: @admonition-error-icon; + } + + color: @admonition-error-color; + background-color: @admonition-error-bg-color; +} + +div.admonition.hint { + p.admonition-title::before { + content: @admonition-hint-icon; + } + + color: @admonition-hint-color; + background-color: @admonition-hint-bg-color; +} + +div.admonition.important { + p.admonition-title::before { + content: @admonition-important-icon; + } + + color: @admonition-important-color; + background-color: @admonition-important-bg-color; +} + +div.admonition.note { + p.admonition-title::before { + content: @admonition-note-icon; + } + + color: @admonition-note-color; + background-color: @admonition-note-bg-color; +} + +div.admonition.tip { + p.admonition-title::before { + content: @admonition-tip-icon; + } + + color: @admonition-tip-color; + background-color: @admonition-tip-bg-color; +} + +div.admonition.warning { + p.admonition-title::before { + content: @admonition-warning-icon; + } + + color: @admonition-warning-color; + background-color: @admonition-warning-bg-color; +} + +div.figure { + font-size: 90%; + color: @figure-color; + + img { + vertical-align: middle; + line-height: 1; + display: inline; + } + + p { + margin-top: 0; + margin-bottom: 0; + } + + p.caption { + font-style: italic; + } + + div.legend { + text-align: initial; + } +} + +div.figure.align-left { + text-align: left; +} + +div.figure.align-center { + text-align: center; +} + +div.figure.align-right { + text-align: right; +} diff --git a/pelican_blog/output/theme/stylesheet/style.min.css b/pelican_blog/output/theme/stylesheet/style.min.css new file mode 100644 index 0000000..40c495b --- /dev/null +++ b/pelican_blog/output/theme/stylesheet/style.min.css @@ -0,0 +1 @@ +body,html{width:100%;height:100%}h1,h2,h3,h4,h5,h6{font-weight:300;line-height:1.1}h1{font-size:2.4em}h2{font-size:2em}h3{font-size:1.6em}h4{font-size:1.36em}h5{font-size:1.2em}h6{font-size:1.1em}body{margin:0;padding:0;background-color:#fff;color:#242121;font-family:Source Sans Pro,Roboto,Open Sans,Liberation Sans,DejaVu Sans,Verdana,Helvetica,Arial,sans-serif;font-size:1.02em;line-height:1.2em}a{color:#d9411e;text-decoration:none}a:hover{color:#ff5a09}hr{color:#eee;background-color:#eee;height:1px;border:none;margin-top:40px;margin-bottom:40px}img{max-width:100%}aside{background-color:#333;text-align:center}aside,aside a{color:#fff}aside a:hover{color:#eee}aside div{padding:20px;margin:0}aside div img{border-radius:50%;max-width:140px}aside div h1{margin:15px 0 5px}aside div p{margin:0 0 15px;font-size:.92em}aside nav ul li{display:inline;line-height:1.6em;font-size:1.28em;text-transform:lowercase}main nav{text-align:center;text-transform:uppercase;padding:14px 0;border-bottom:1px solid #eee;font-size:0}main .translations a,main nav a{font-size:12px;padding:0 4px;border-right:1px solid #eee}main .translations :last-child,main nav :last-child{border-right:none}main .neighbors{margin:4% 0;height:20px}main .pagination{margin:4% 8%;height:20px}main .social-share p{font-size:.8em}main article{margin:0 8% 2%}main article header h1,main article header h2{margin-bottom:0}main article header p{color:#999;font-size:.86em}main article header .translations{float:right}main article header .translations .active{font-weight:600}main article code,main article kbd,main article pre,main article samp{font-family:Source Code Pro,Consolas,Liberation Mono,DejaVu Sans Mono,monospace}main article blockquote,main article pre{background-color:hsla(0,0%,50%,.05);border-top-right-radius:5px;border-bottom-right-radius:5px;border-left:8px solid hsla(0,0%,50%,.075);border-left-width:10px}main article blockquote{padding:10px 20px;font-weight:300;font-size:1.1em}main article pre{padding:4px;font-size:.9em;overflow-x:auto}main article samp{white-space:pre;display:block;overflow-x:auto}main article kbd{padding:.1em .6em;border:1px solid rgba(63,63,63,.25);box-shadow:0 1px 0 rgba(63,63,63,.25);background-color:#fff;color:#333;border-radius:3px;display:inline-block;margin:0 .1em;white-space:nowrap;font-size:.78em}main article :not(pre)>code{font-size:.8em;white-space:nowrap;color:#c25;padding:1px 3px;background-color:#f7f7f9;border:1px solid #e1e1e8;border-radius:3px}main article .comment-count{font-size:.8em}main article table{border-collapse:collapse;border-spacing:0}main article table thead:first-child tr:first-child th{border-top:0}main article table td,main article table th{padding:8px;line-height:20px;vertical-align:top;border-top:1px solid #ddd}main article table.highlighttable{width:100%;table-layout:fixed}main article table.highlighttable td{border-style:none;padding:0}main article table.highlighttable td.linenos{width:2.5em}main article table.highlighttable td.linenos pre{padding-right:.8em;background-color:inherit;text-align:right}main article section#isso-thread .auth-section .input-wrapper{margin-right:5px}main footer{padding-top:4px;border-top:1px solid #eee}main footer p{margin:2px;text-align:center;padding:0 40px;color:#999;font-size:11px}main footer span.footer-separator{margin:0 6px}.tag-cloud a{background-color:#d9411e;padding:.2em .6em;font-size:.74em;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:.25em}.tag-cloud a:hover{background-color:#ff5a09}a.btn,section#isso-thread section.auth-section p.post-action input{background-color:#d9411e;padding:.6em;font-size:.8em;line-height:1;color:#fff;text-align:center;white-space:nowrap;vertical-align:baseline;border:none;border-radius:.25em}a.btn:hover{background-color:#ff5a09}.center,.text-center{text-align:center}.align-center,.img-center{margin-left:auto;margin-right:auto;display:block}.float-left{float:left}.float-right{float:right}div.related-posts{margin:15px 0;padding-bottom:20px;border-top:1px solid #eee;border-bottom:1px solid #eee}div.related-posts h4{margin:20px 0 25px}div.related-posts ul{font-size:1.1em;padding-left:12px}div.related-posts ul li{padding:4px 0}ul.list,ul.related-posts,ul.social{list-style-type:none;margin:0;padding:0}ul.list{padding:1em 0}ul.list li{padding:4px}ul.social{font-size:1.6em;padding-top:20px}ul.social li{display:inline}ul.social a:hover{z-index:1;transform:translateY(-2px)}ul.social a{display:inline-block;width:36px;height:36px;border-radius:100%;text-align:center;font-size:.8em;line-height:36px}ul.social a.sc-facebook{background-color:#3e5b98}ul.social a.sc-google{background-color:#d93e2d}ul.social a.sc-instagram{background-color:#125688}ul.social a.sc-keybase{background-color:#4c8dff}ul.social a.sc-pinterest{background-color:#c92619}ul.social a.sc-linkedin{background-color:#3371b7}ul.social a.sc-medium{background-color:#00ab6b}ul.social a.sc-rss{background-color:#f26109}ul.social a.sc-stack-overflow{background-color:#f90}ul.social a.sc-tumblr{background-color:#36465d}ul.social a.sc-twitch{background-color:#a970ff}ul.social a.sc-twitter{background-color:#4da7de}ul.social a.sc-youtube{background-color:#e02a20}ul.social a.sc-github,ul.social a.sc-github-alt{background-color:#111010}ul.social a.sc-envelope{background-color:#578ad6}ul.social a.sc-reddit{background-color:#ff4500}ul.social a.sc-soundcloud{background-color:#f50}ul.social a.sc-gitlab{background-color:#fca326}ul.social a.sc-xing{background-color:#007575}ul.social a.sc-bitbucket{background-color:#0747a6}ul.social a.sc-mastodon{background-color:#3088d4}ul.social a.sc-diaspora{color:#000;background-color:#d5d5d5}ul.social a.sc-flickr{background-color:#ff0084}ul.social a.sc-lastfm{background-color:#d92323}.ads-aside{display:inline-block;height:90px;width:70%}.ads-responsive{display:inline-block;margin:6px 0;width:90%;height:70px;margin-left:5%}@media screen and (min-width:768px){aside{width:25vw;height:100vh;position:fixed;top:0;left:0;overflow-y:auto}aside div{padding:36px 18px}aside div nav ul li{padding:0!important;display:block}aside div 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